</title= ><style type=3D"text/css">@page Section_1 { size:612pt 792pt; margin:70.85p= t }div.Section_1 { page:Section_1 }body { font-family:'Times New Roman'; fo= nt-size:12pt }h1, h2, h3, h4, h5, h6, p { margin:0pt }h1 { margin-top:12pt;= margin-bottom:0pt; page-break-inside:avoid; page-break-after:avoid; font-f= amily:'Times New Roman'; font-size:24pt; font-weight:bold; font-style:norma= l; color:#2f5496 }h2 { margin-top:2pt; margin-bottom:0pt; page-break-inside= :avoid; page-break-after:avoid; font-family:'Times New Roman'; font-size:18= pt; font-weight:bold; font-style:normal; color:#2f5496 }h3 { margin-top:2pt= ; margin-bottom:0pt; page-break-inside:avoid; page-break-after:avoid; font-= family:'Times New Roman'; font-size:14pt; font-weight:bold; font-style:norm= al; color:#1f3763 }h4 { margin-top:2pt; margin-bottom:0pt; page-break-insid= e:avoid; page-break-after:avoid; font-family:'Times New Roman'; font-size:1= 2pt; font-weight:bold; font-style:normal; color:#2f5496 }h5 { margin-top:2p= t; margin-bottom:0pt; page-break-inside:avoid; page-break-after:avoid; font= -family:'Times New Roman'; font-size:10pt; font-weight:bold; font-style:nor= mal; color:#2f5496 }h6 { margin-top:2pt; margin-bottom:0pt; page-break-insi= de:avoid; page-break-after:avoid; font-family:'Times New Roman'; font-size:= 8pt; font-weight:bold; font-style:normal; color:#1f3763 }.awdiv { font-size= :12pt }span.Heading1Char { font-family:'Calibri Light'; font-size:16pt; col= or:#2f5496 }span.Heading2Char { font-family:'Calibri Light'; font-size:13pt= ; color:#2f5496 }span.Heading3Char { font-family:'Calibri Light'; font-size= :12pt; color:#1f3763 }span.Heading4Char { font-family:'Calibri Light'; font= -style:italic; color:#2f5496 }span.Heading5Char { font-family:'Calibri Ligh= t'; color:#2f5496 }span.Heading6Char { font-family:'Calibri Light'; color:#= 1f3763 }span.awspan { font-size:12pt; color:#000000 }</style></head><body><= div class=3D"Section_1"><div style=3D"margin-bottom:10pt; border:1pt solid = #000000; clear:both"><img src=3D"data:image/png;base64,iVBO= Rw0KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAA= OxAAADsQBlSsOGwAAA25JREFUOI21lE9oHVUUxn/n3nnz3rwkbULSiolF0FBaW0KoxDQo1oilax= daRGstSjelghRXbqKgiBtx5R8IiESoblwoimibTdW0WGooNoRqscXYmDR9jXnvzcybufe6mGTym= qTu/C534M6c893zfecwwgb4/MehQLfLVhQDztBvUteptCyKlikr8QSmPvP0rkvVjXKl+TAyjvdA= 59DDflm9YBJ5whjbrZSolSBrHaJkXism4sR8HN6Y/frI8B/RHQlPXhg6WmrRb0Zh2mkNsubzapJ= A62ZvqV5LP6wu3nzjxUeml24jHB9/zJvtiF7yS/r9ODKU1BYEqCfzywTriZ2DoKzSJDFvTy1MvD= 4yTAqgAGY6wsdLJe+tRmixxrKn5zj9PcdyAa5pNSOOrFfwvVe3twweyiv88ucHy2ZTMBpH5mCaO= AFH0WvPEtJFjItZ4XE4nEvRqohWPs6B1uAH+kq9kux7bu/ZP72ap++R2B4wBhERjE3YsfUZHI6L= 1z9i+L73CApdOAzOOaqNGa5WvmNm8QyCwhpBCd3iqwPAqCdK71dCh8nVOFqLPbm8rtY+frvxBdc= qp9HKpyPope/uo3SVdzH51wcgmqhuin5RDQCjnrUMak+gyR+HxTmXn6rxDDfrl1BSYG7pPLfCKw= z3vsvVyiluRZdxeFLw5N6VpmxZ4/X6MUGypwhaFZmv/UJianS17s5jLLQBKBGp/TfdevrVfRsaG= SFMbzBmd0RqQzrLO/G9NhZql7KXmcK/ATyEb41xJ4Diag0KZNWHsn8X7cH9aOXTHvSyvesppmbH= qNSnEdEUCioNq+lFAC8K01/bNvuTJjUPZX0QwmQBsAAshr+zrX0f3ZuGcDjCxhxTc59yrfI9Igo= RwQ/UP1Gcns4NOXlh8GU/8N4Ja9bPFCRZneJhXZJX6pzF2AZa+SjJBLW0KVer2rFn9/z0PGRddn= HDjVnLV8VAIQKCh6CX5et8K/HxvTa0ysgKvpAk7kwamFdWLlUAhwfPLSxVG8cE91mxlMlY+SFks= lQuL/e1RTml5AcTp8cP7zy3sOp/Ez6Z7GspqpbXyq3ekTi0nUnDFvIuLkdqLaZY1ktJw3wTzscn= Dj16/nozx7qBGRlB7Xhyb7+I2u+XZABkm7OuLCKRVjIbRWbSiTl1cPfZ8bW5/wv+BaGMamvHib7= XAAAAAElFTkSuQmCC" width=3D"20" height=3D"20" alt=3D"" style=3D"margin-left= :285.95pt; position:absolute" /><img src=3D"data:image/png;base64,iVBOR= w0KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAO= xAAADsQBlSsOGwAAA25JREFUOI21lE9oHVUUxn/n3nnz3rwkbULSiolF0FBaW0KoxDQo1oilaxd= aRGstSjelghRXbqKgiBtx5R8IiESoblwoimibTdW0WGooNoRqscXYmDR9jXnvzcybufe6mGTymq= Tu/C534M6c893zfecwwgb4/MehQLfLVhQDztBvUteptCyKlikr8QSmPvP0rkvVjXKl+TAyjvdA5= 9DDflm9YBJ5whjbrZSolSBrHaJkXism4sR8HN6Y/frI8B/RHQlPXhg6WmrRb0Zh2mkNsubzapJA= 62ZvqV5LP6wu3nzjxUeml24jHB9/zJvtiF7yS/r9ODKU1BYEqCfzywTriZ2DoKzSJDFvTy1MvD4= yTAqgAGY6wsdLJe+tRmixxrKn5zj9PcdyAa5pNSOOrFfwvVe3twweyiv88ucHy2ZTMBpH5mCaOA= FH0WvPEtJFjItZ4XE4nEvRqohWPs6B1uAH+kq9kux7bu/ZP72ap++R2B4wBhERjE3YsfUZHI6L1= z9i+L73CApdOAzOOaqNGa5WvmNm8QyCwhpBCd3iqwPAqCdK71dCh8nVOFqLPbm8rtY+frvxBdcq= p9HKpyPope/uo3SVdzH51wcgmqhuin5RDQCjnrUMak+gyR+HxTmXn6rxDDfrl1BSYG7pPLfCKwz= 3vsvVyiluRZdxeFLw5N6VpmxZ4/X6MUGypwhaFZmv/UJianS17s5jLLQBKBGp/TfdevrVfRsaGS= FMbzBmd0RqQzrLO/G9NhZql7KXmcK/ATyEb41xJ4Diag0KZNWHsn8X7cH9aOXTHvSyvesppmbHq= NSnEdEUCioNq+lFAC8K01/bNvuTJjUPZX0QwmQBsAAshr+zrX0f3ZuGcDjCxhxTc59yrfI9IgoR= wQ/UP1Gcns4NOXlh8GU/8N4Ja9bPFCRZneJhXZJX6pzF2AZa+SjJBLW0KVer2rFn9/z0PGRddnH= DjVnLV8VAIQKCh6CX5et8K/HxvTa0ysgKvpAk7kwamFdWLlUAhwfPLSxVG8cE91mxlMlY+SFksl= QuL/e1RTml5AcTp8cP7zy3sOp/Ez6Z7GspqpbXyq3ekTi0nUnDFvIuLkdqLaZY1ktJw3wTzscnD= j16/nozx7qBGRlB7Xhyb7+I2u+XZABkm7OuLCKRVjIbRWbSiTl1cPfZ8bW5/wv+BaGMamvHib7X= AAAAAElFTkSuQmCC" width=3D"20" height=3D"20" alt=3D"" style=3D"margin-left:= 285.95pt; position:absolute" /><img src=3D"data:image/png;base64,iVBORw= 0KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOx= AAADsQBlSsOGwAAA25JREFUOI21lE9oHVUUxn/n3nnz3rwkbULSiolF0FBaW0KoxDQo1oilaxda= RGstSjelghRXbqKgiBtx5R8IiESoblwoimibTdW0WGooNoRqscXYmDR9jXnvzcybufe6mGTymqT= u/C534M6c893zfecwwgb4/MehQLfLVhQDztBvUteptCyKlikr8QSmPvP0rkvVjXKl+TAyjvdA59= DDflm9YBJ5whjbrZSolSBrHaJkXism4sR8HN6Y/frI8B/RHQlPXhg6WmrRb0Zh2mkNsubzapJA6= 2ZvqV5LP6wu3nzjxUeml24jHB9/zJvtiF7yS/r9ODKU1BYEqCfzywTriZ2DoKzSJDFvTy1MvD4y= TAqgAGY6wsdLJe+tRmixxrKn5zj9PcdyAa5pNSOOrFfwvVe3twweyiv88ucHy2ZTMBpH5mCaOAF= H0WvPEtJFjItZ4XE4nEvRqohWPs6B1uAH+kq9kux7bu/ZP72ap++R2B4wBhERjE3YsfUZHI6L1z= 9i+L73CApdOAzOOaqNGa5WvmNm8QyCwhpBCd3iqwPAqCdK71dCh8nVOFqLPbm8rtY+frvxBdcqp= 9HKpyPope/uo3SVdzH51wcgmqhuin5RDQCjnrUMak+gyR+HxTmXn6rxDDfrl1BSYG7pPLfCKwz3= vsvVyiluRZdxeFLw5N6VpmxZ4/X6MUGypwhaFZmv/UJianS17s5jLLQBKBGp/TfdevrVfRsaGSF= MbzBmd0RqQzrLO/G9NhZql7KXmcK/ATyEb41xJ4Diag0KZNWHsn8X7cH9aOXTHvSyvesppmbHqN= SnEdEUCioNq+lFAC8K01/bNvuTJjUPZX0QwmQBsAAshr+zrX0f3ZuGcDjCxhxTc59yrfI9IgoRw= Q/UP1Gcns4NOXlh8GU/8N4Ja9bPFCRZneJhXZJX6pzF2AZa+SjJBLW0KVer2rFn9/z0PGRddnHD= jVnLV8VAIQKCh6CX5et8K/HxvTa0ysgKvpAk7kwamFdWLlUAhwfPLSxVG8cE91mxlMlY+SFkslQ= uL/e1RTml5AcTp8cP7zy3sOp/Ez6Z7GspqpbXyq3ekTi0nUnDFvIuLkdqLaZY1ktJw3wTzscnDj= 16/nozx7qBGRlB7Xhyb7+I2u+XZABkm7OuLCKRVjIbRWbSiTl1cPfZ8bW5/wv+BaGMamvHib7XA= AAAAElFTkSuQmCC" width=3D"20" height=3D"20" alt=3D"" style=3D"margin-left:2= 85.95pt; position:absolute" /><img src=3D"data:image/png;base64,iVBORw0= KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxA= AADsQBlSsOGwAAA25JREFUOI21lE9oHVUUxn/n3nnz3rwkbULSiolF0FBaW0KoxDQo1oilaxdaR= GstSjelghRXbqKgiBtx5R8IiESoblwoimibTdW0WGooNoRqscXYmDR9jXnvzcybufe6mGTymqTu= /C534M6c893zfecwwgb4/MehQLfLVhQDztBvUteptCyKlikr8QSmPvP0rkvVjXKl+TAyjvdA59D= Dflm9YBJ5whjbrZSolSBrHaJkXism4sR8HN6Y/frI8B/RHQlPXhg6WmrRb0Zh2mkNsubzapJA62= ZvqV5LP6wu3nzjxUeml24jHB9/zJvtiF7yS/r9ODKU1BYEqCfzywTriZ2DoKzSJDFvTy1MvD4yT= AqgAGY6wsdLJe+tRmixxrKn5zj9PcdyAa5pNSOOrFfwvVe3twweyiv88ucHy2ZTMBpH5mCaOAFH= 0WvPEtJFjItZ4XE4nEvRqohWPs6B1uAH+kq9kux7bu/ZP72ap++R2B4wBhERjE3YsfUZHI6L1z9= i+L73CApdOAzOOaqNGa5WvmNm8QyCwhpBCd3iqwPAqCdK71dCh8nVOFqLPbm8rtY+frvxBdcqp9= HKpyPope/uo3SVdzH51wcgmqhuin5RDQCjnrUMak+gyR+HxTmXn6rxDDfrl1BSYG7pPLfCKwz3v= svVyiluRZdxeFLw5N6VpmxZ4/X6MUGypwhaFZmv/UJianS17s5jLLQBKBGp/TfdevrVfRsaGSFM= bzBmd0RqQzrLO/G9NhZql7KXmcK/ATyEb41xJ4Diag0KZNWHsn8X7cH9aOXTHvSyvesppmbHqNS= nEdEUCioNq+lFAC8K01/bNvuTJjUPZX0QwmQBsAAshr+zrX0f3ZuGcDjCxhxTc59yrfI9IgoRwQ= /UP1Gcns4NOXlh8GU/8N4Ja9bPFCRZneJhXZJX6pzF2AZa+SjJBLW0KVer2rFn9/z0PGRddnHDj= VnLV8VAIQKCh6CX5et8K/HxvTa0ysgKvpAk7kwamFdWLlUAhwfPLSxVG8cE91mxlMlY+SFkslQu= L/e1RTml5AcTp8cP7zy3sOp/Ez6Z7GspqpbXyq3ekTi0nUnDFvIuLkdqLaZY1ktJw3wTzscnDj1= 6/nozx7qBGRlB7Xhyb7+I2u+XZABkm7OuLCKRVjIbRWbSiTl1cPfZ8bW5/wv+BaGMamvHib7XAA= AAAElFTkSuQmCC" width=3D"20" height=3D"20" alt=3D"" style=3D"margin-left:28= 5.95pt; position:absolute" /><img src=3D"data:image/jpeg;base64,/9j/4AA= QSkZJRgABAQEAYABgAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFh= wXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4eHh4eH= h4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCARhAxkDASIAAhEB= AxEB/8QAHAABAQACAwEBAAAAAAAAAAAAAAECCAMGBwQF/8QAWBABAAEDAwAECAsDBgsGAwkAAAE= CAwQFBhEHEiExExQXQVFVlNIIFiJUVmFxgZKT0TI3dBWRobGysyM1NkJSc3WChMHTGCQnM6LDJW= JyJkNFRmOjwuHw/8QAGwEBAQEBAQEBAQAAAAAAAAAAAAECAwQFBgf/xAA1EQEAAQMCBQMBBgUEA= wAAAAAAAQIDEQRSBRMUMZESIUFxMzVRYYHwFSJCodEGIzKxNMHh/9oADAMBAAIRAxEAPwDpoD+l= PxQANEosoAAECSqSLKAKgAkkJPeE94pIACT3Is9yAABAkqkiysBAIkosoKkrHckrHcqACCSEiwA= CglXmVKvMCEhIIAKAJJAAQsJKLKKSACD9HDteCt8z+1V2y+XCtde51qo+TT/W/RYmWK5+BjPeyY= z3sswANKAAJKpIAAADIAKgAqsZCQPgAlCEqnsYkiNQkosoKMZ7e1ap8zGGKpy1TAksuWNTDeQFp= jsIgmQWYRqUhJ7wnvAAASUVBRJUnu5QYVT5mE9yzPM8pPc5z7ukIkwqpgliLKfZ2osLTT1qo9Dk= +5KY6sfWy5daacQ5VVe76AHocAAaJRZQAAIElUkhZQBUB9uBpebm4OdnY9masbAt03Mi5PZFMVV= RTTH2zM931T6Hb+jros17fGi3tV0vO02xZs5E4805FdcVTVFNNUzHVpmOPlR/S897VWrNM1VziO= zrbs13JxTDoU96PY5+DxvD1tof5t3/AKZ/2eN3+ttD/Nu/9N5f4tpN7t0N/a8cOXreV8H/AHxZp= mbWTo2R6KaMiuJn8VEQ6JuzZe59rXONc0jIxrfPEXojr2pnzcV08xz9XPLva12nvTiiuJlzr012= 3GaqXX57kWe5HrcAAIElUkVYAESUWU5gWElY7klY7lQAQSQkWAAUEq8ypV5gQkJBABQBJIACFhJ= RZRSRaYmqqKYjmZ7kfZgWv/vao+qlJnDMziH02aIt24pjzd7MHNyGM97JjPeLAA0oAAkqkgAAAM= gAqACqxkJA+BJWUSSElJhkiNMZRlLCe/hJnCwkx28oyYzDm3EiSqSKR3s0pjiFVBOFFGEwMp704= BAQCUVEX4GFc89jKZ4hxpVKwhCjnhtAEBaKeZ59COWmOIappzOSZSUZVMeJdXPD6QHVxABolFlA= AAgSVSSFlHPp2HlajqGPgYVmq/k5FyLdq3T31VTPEQ4GxXwZ9gzh4kby1SzHh8imY0+irvotz2T= c+qau6Pq+15Nfq6dLamue/wAO+msTfuRTD6N57OxdlfB71LTbc03MqvwNzLvRH/mXJuUc9v8Aox= 3R/wD3L7fgm/u6zv8Aa1z+6tP3/hDTHkk1iP8AVf3tL8D4Jv7us7/a1z+6tPy1Vyq5oaqqu81f+= n26aIo1VNMfg9T1vVcDRdMvanqeTTjYlmIm5dqiZinmYiO765h1WOljo9nj/wC02L+Cv3XF0/8A= 7pNc/wBXb/vaGnTpwzhlGstzVVMxiWdbra7FcU0w3m0Ddm29fqmjR9bwc2umOardq9E1xHpmnv4= +5+nnYuNnYl3GzLFvIx7tM03LdymKqao9ExPe0MxMnIw8q3lYl65Yv2qoqt3LdXVqpmO6Yluf0S= 7hvbo6P9L1fJqpqyq7c28iYjjm5RVNMzx5ueOfvcuI8MnR4rpnMNaTWRqM01R7tcOnfYNGy9ft3= 9Opq/kjP5qsRM8zarj9qiZ9HbEx9U/VMvN23PwktMtZ/RVnXqrcVXMK7ayLc+emetFM/wDpqlqf= pUzTqeLNNm1fmL1HFu9zNFfyo7KuO3ifPw/QcJ1VV/TZq7x7Pl66zFu9iO0vedP6O8Kvoyo29Xo= VVWu5GlVanGp+Kz1aLvXiqjH8Jx2VdXsmOfNM+d0jb3Rxo2dtjb+rapum9p97XMivGxrNOnzdiL= kXJoiJqiuO/iPNHe9Kubc6b691U6/Tq2k0RExP8n05t6MTiKerx4P0T39/f2vl1HY3ShmWtIteK= bUsW9J1CvPxrdm7dinwlVybk0zz/m8zMREcdnnfJt6qujMc2Pec9/r7f9PbVYpn+ifb2dH0Dojr= z8/VsHLz9Qt3NPz6sTwuPp/hbVcRETFXWmunie3mae3jsfp6T0c7Z0zTd9YW48+u5l6NNiLeXas= VT4CiunrU3IoiviqaueJpnu6vf2ubeWsdJG0IzLm5Ns6Jm6fnZ3jkVXLNV6xavcRT8maa4mn7Kv= r4878nae6N+7n3BuTU9I21pesRqduxTqWHctc2OKKerbmIqrie6mrzz5/q49M16u7RNfrj0+3aY= /JyxZomKfT7vjwejrQ6NO0S/rW6b2De1+5VTptu3gzcjq9aIoruT1o463NPZ5ut9U8fTp3RRh0x= kU63uSvBu29bjR7UWcKbsXblUUzRVz1o4iet9z5r2+Nz7UvWdC1vbeiXcrSrs3cOnMx+vXhTX8u= IommrjiOYmO/js9Ecfi0dIm4PFqbV+nEya41mjWartyietXfpiOIniYjqdndERPomHoijX1xmmr= 2+sf2/RxmrTU94di3H0V4Gn2cy5p25pz69O1CxhZ1m5gzamibtVMRMT1pir9qP1fqal0c0a/u/W= sOa68K1pVy3i0fyZpEeBqiaIq5nm5z1uZ7eZqn6+50zL6SNcyKtXm5i6fH8rZtnMv8AFuv5NdqY= mmKfldkT1Y555+52La28d87o1DW7OnbY0fXIzr1Gbk4l6zM27VcUxRFVPNcT3RHfM/c5XLeuop9= VVXb5zHzhuivTVTiI7uldI21ruzt15GhXcujL8FTRXRepo6nWpqjmPk8zxP3y69Hc7V0sZu4s/e= V+/ujTLGnal4K3TVYsxxTTTFPyZ/aq831v1dS6JN1afs+rdF+5p04NONTkzFN6qa+pVETHZ1e/t= jzvqWtTTRao51UZn+7x12Zqrq9Ee0OgAPY86SEuy9H+ydY3vn5OFo1eLTdx7UXa/D3Jpjjnjs4i= WLl2i1TNVc4iG6KKq5imnu60P2d6ba1HaWv3dF1WbE5NqimqqbNc1U8VRzHbMR6X4zVFdNymKqZ= zEs1UzTOJEq8ypV5m0QkJBABQBJIACFhJRZRRnZom7ciiPv8AsfqUxFNMUx2RHY4cK14O11pj5V= TnYqlyqnMgDLIxnvZMZ7xYAGlAAElUkAAABkAFQAVWMhJIfCSIqSsAIglUsOGVU9qcszLpEIKkw= ipwcKSQSACZABUnvRZ70CA4AVEmGTGqeIQYVT2sPOySYYlqEARUAjtngwZZW457XIkRxHBzx3uk= RhMkosoqPoAdXAAGiUWUAACBJV9eiaXm61q+LpWnWpu5WTci3bpj0z559ER2zM+aIZqqimJqntD= URMziHcOhLYte9N00+M0VRpOFMXMuru6/+jbifTV/VE/U2+tWrdm1TatUxRboiKaaaY4imI7oh1= /o72rh7P2xjaNh/Kmj5d+757tyf2qv+UeiIiHYrlNU0TFM8Tx2TL8NxHWzqr2fiOz9NpNPFi3j5= +XgXwot60xTRsvAuc1VdW9n1R5o76Lf/wDKf93637/wTv3dZ/8Ata5/dWnUel3oks6Lt/Vt3X9w= 5efmeEi7cpuWaaYrqrriJ7Yns/adu+Cb+7rP/wBrXP7q09t+bP8ADoi1Off3+rzWuZ1ea/wdl6f= /AN0euf8A0W/72hpy3F6f/wB0muR/8lv+9oadPof6f+xq+rycV+0j6Daj4LMV+TOvr89X+ULvU+= zq0f8APlq/p+Hl6jm2sLAx7uTk3qurbtW6Zqqqn7Ibo9Fm3Lm1th6Zo1+KPGLVua780zzHhKqpq= q7fPxM8c/Ucfu08mKPnJwqieZNXw+bpr6kdFm4ev3eKTx9vMcf08NN9I/xrh/6+j+1Da34Smq2s= DoszMeqvi7nXbdi3T56vlRXP9FMtUtI/xrh/6+j+1DHA6ZjTVz++zXEpib9MN1OkvW8vbexdT1v= AptV5OLaiq3F2JmiZmqI7YiY9PpeCYPwhN228u3XmabpF/HiqPCUUW66Kpjz8VdaeJ+viXtHTt+= 6XX4//AEKf7dLTXlw4No7OotVTcpz7uuv1Fy1ciKJbx41ek732Xbu1Wqb+nariczRVxPEVR2xPo= qpn+aYeC9COl720ncm6tJ2xe0SL+Feox8urUKbkxV1a7kUzR1Psq7/qeudAGNkYnRHodvJoqorq= ouXaaZ/0a7tdVM/fExP3ut9C1dFzpV6SKqOOPHqI++K70T/S8NqqbVF63T7xH+Xprp9dVuqe/wD= 8eI9MFjX73SZnY+s04l/V7k2aaqcCmubdUzbp6sUxV288cfe7BonQPvjUcSnIvzpunTV3Wsm9V1= +PTMUU1RH8/L0fRNLx874UOu5d+iK5wMK3dtRPmrm3bpif5pqfJ8InpF3HtjXMLRNAyacPrY0ZF= 69FumqqrmqqIpjrRMRHyZ83n/n+nTrtRXy9PYxE4h4p01qn1XbucZdSn4PG8PWuh/m3f+mw6GdG= 3noe/twaNt6/ok5+Ha8Fk15nhJtVRFcfsdWOe/08PSfg37p17dOjatf13UK825YyKKLc1UU09WJ= p54+TEPzeiT9/e/Ptq/vIcLur1E03bV6Yn0x+H5w60WLUTRXbzGXQt3bN3fvbpfztH1HK0W3q9v= BoyLldqblNiaIiiIiOYmrn5Uebh7zuHbObqPRZc2pZvY9OZVp1vFi5XM+D61NNMTPMRzx2eh4T0= 66/rG3OmnUM/RM65hZNWHZtTXRETM0zTTMx2x6Yj+Z7VurV9SxOhS5rePmXLeoxpVq9F+IiauvN= NMzV6O+ZcdVzposTGMe2Pq3Y9EVXInv8tcd49GGubW1nRtLz83Trt7V73gbFVmuuaaautTTzVzT= HZzVHdy7THweN4T/+LaH+bd/6bote4t57x3BpVq5n5Oo6nZvx4hHVp5ormYnmOIjz0xPb2dj3HE= 2f0212KK8jf+HYuT30RHW6v1c+DfT1Wo1Onppiq5TE/P7w8di1ZuzMxRMw803J0Gb20fTq8614h= qdNuOa7eJdqm5EeeYiqmOfsjmfqfvfBE/ys1r+Bp/tw9v6PdO3XpmlXsXdusY2rZHhetZvWqJpm= KOI+TV2R5+f53mvQvYtY3TnvqxZoii3TVc4pjujm7y8FXELmo0923cmJx8x9XqjS0WrtFdPtl5v= 8Jj97Wd/D2P7EPNHpfwmP3s538PY/sQ80foeG/wDi2/o+Vq/tqvqJV5lSrzPc86EhIIAKAJJAAQ= sJLmwrPhLvWq/Zp73DxM1RER2y/Ux7cWrUU+fzkzhmqcOSUWUc3IAAYz3smM94sADSgACSqSAAA= AyACoAKrGSe4knuRWKopCQMap4VjPektQhMAy2ncvIiC8dqSpKiAAAIMZ7xZ70FiQAUcVc81M65= 4jhxyzKgDOCEk4UGssWVuOO1IjmeHJDVMM1SANJCTCLKA+gB1cQAaJRZQAAIGy/wbtgxo+lRunV= LURqGbb/7tTVzzasz5+PTV3/Zx6Za36bk04efYy6sazkxarivwN6Jmivjt4q4mJmPveqf9oHedN= MU0adoNMRHZxj3ez/9x8rilrU36OXZj2nu92juWrVXruNit367iba25m61mz/gsW1NXHnrq7qaY= +uZ4j72ts9Pe+pqmYp0uI57I8WmeP8A1PwukDpQ3JvXTLOm6pRg2Ma1d8L1cW3XR16oiYjrc1Tz= Ecy6O8/D+D00UTOopiZddVxCqur/AGpxDv8Au3pc3ZubQcjRdSjA8VyOr1/B2Jpq7KoqjiefTEP= YPgm/u7z/APatz+6stYHfOjzpS1/ZGi3dK0rD02/Zu5FWRVVkW65q600008fJqiOOKY8ztr+HxV= p+Xp6Yj3y56XVYveu7Pw251XTsHVcC7gali2srFu8eEtXaYqpq4nmOY+2Idfjo62LHExtTSPvxq= XhX/aF3l6r0L8m7/wBRJ+ELvH1ZoX5N3/qPiUcJ11PtT7fq+lVr9NV3/wCmxmj7f0LR5qnStIwc= GqqOKqrFimiZj0TMQ+nU8/D0zAu5ufk2sbGs09a5cu1RFNMfa1e1Hp731lWposRpWFP+lYxpmr/= 11VR/Q6JubdW4ty3Yua5q+Vm9Xtporq4opn6qY4iP5nW3wLUXKs3Zx/dividqmP5Idn6cN/fHbc= NNOF16dJweaMaKo4m5M/tXJ+3iOI80fXMujaR/jXD/ANfR/ah889yUzNNUTTMxMTzEv01rT02bX= Ko7PjV3ZuXPXU3t3TomHuPQMrRc+q5GLlURTcm1VxVxExPZPb6Hn2J0DbEsZNu7XGpZFNE8zbuZ= PyavqniIn+lrHGu63651H2mv9Sdd1uY4nWNQ4/ia/wBXw7fBtTaiaaLuIn6vpVcQs1zmqjLb/pF= 3pomw9uVVVXLEZFNnweFhUTHWrmI4piI81MdnM+aPuh5f8EnIu5Oqbqyci5VcvXfF67ldU9tVUz= dmZn75eBXbly7XNy7cruVz31VTzLlw87NwpqnDzMjH6/HW8Fdmjnju547/ADvRRwaKNPVbir+ar= 5c6tfM3YrmPaPh7vqu7MXaPwmdTzNQueDwcqzaxr9fHMURVbtzFX3TTHP1TLvnST0caH0kU4eqW= tUnHyLdrqWsnH6t23ctzPMcxz2988TE+fztWtAxLu491abp2XmXfCZ+Vax6r9czXVT1qop57Z7e= Oe76nvWJ0A3sSmacTfWfj0z5reP1f6rjx6yxb0tVExc9NcR+Dvp7tV6mqPRmmZd66Jdg29g6fm4= lvU69Q8bu03Jqqs+D6vEcccczy6Z0Sfv6359tX95DuWz9DwujXbOdd1jct/Ntzcm9cycuvq9WIp= 4iimJmfRPd2zMtUtzbiydR3dq2t6ffycOM7KuXaYouTTV1JqmaYnifRw4aPT16uq7HqzmO/6uuo= u02Io9u3w7d8Jqf/ABZzf4ez/Yh77oWPg726GcLTreX1LWbpdvHruW+KptVxTETHHpiqO76mnWV= kZGVem9k37t+5PfXcrmqr+eXLhZ2dhRPieZkY/Pf4K7VTz/NL69/hdVyxboirFVLwWtbFFyqqY9= qntej7PwuiXpT21k6rrlrLx87w9vw04/gqbNXU6tMz8qrvmqI57OHq/SVtHWt114VzRt45uhU2K= aorpsRM03eeOJnq1U9scT6e/wA3n09zc7NzerOZmZGTNHPV8Lcmvjn0cy5cfV9Wx7cWrGp5tq3T= 3U0ZFVMR90S5XuF3rlVNya/5o/JujW26ImmKfafzbj9Ge1tX2thZljV9z5OvV37kV27l+Kom3ER= xxHWqqdB6If39b8/+qv8AvYa8TruueudR9qr/AFcFnUdQsZFzIs5+VbvXf/MuUXqoqq+2YnmWKO= DXMV+quM1R+DVXEKc04p7PQvhMfvazv4ex/Yh5o5MnJyMq9N7Kv3b92Y4mu5XNVU/fLjfa0tmbF= mm3M5w+deucy5NX4iVeZUq8z0OaEhIIAKAJJADK1RNy5FEechX0YFrmrwtUdkdz7UopimmKYjiI= ZMTOXGZzKSiyiIAAMZ72TGe8WABpQABJVJAAAAZABUASVVCQkVioiJCVSxWe1GZagFRFyEKiqEg= ggvCSNZABMJPeiygAJVJKsKu2eUZJLm2nCKAgcLTHM/UBTHHayU4dGEAFhJRZQR9ADo5AA0Siyg= AAQJKpJCygCoAEkJPeE94EiKAk9yLPcgAAQJPcqSKytV127lNy3XVRXTMTTVTPExMeeJfb/LOr+= tc72iv9XwwMzRTV3giqY7ObMzMvLmmcrKv3+r3eFuTVx/O+dZRYpiOyzMz3SVjuSVjuaZAEEkJF= gkAUEq8ypV5gQkJBABQBJIR+hhWupb69UfKq/oh8uJa8Ld7f2Y7ZfpMzLFU/CgMsJKLKAAAMZ72= TGe8WABpQABJVJAAAAZABUEmFFViSSSCMap8ysZ70lYQBGl8yLPciILxKMlViMphEVAAJRU4RYE= 4UBjPYwZ1T5mPDMtQgJwirwxXkMCM6Y4hKI5llMLTBKcqxOWmMrKEgpKcKCOYc3imX82ufhk8Uy= /m9z8Ms9Ra3R5OTc2y4RzeKZXze5+E8Uyvm9z8J1FrdHlrk3NsuGUc84mV82ufhTxPK+bXPwnUW= t0eU5NzbLhHN4nlfNrn4TxPK+bXPwnUWt0eVizc2y4Ulz+J5Xza5+FJw8v5td/CRqLW6PK8m5tl= wDn8Ty/m1z8MniWX82u/hleotbo8pybm1wDn8Ty/m138MnieX83u/hlOotbo8kWbm2Xzz3jmnCy= /m138MnieX82u/hleotbo8nJubZcI5vE8v5td/DJ4nl/Nrv4ZOotbo8nJubXBPcjnnDy/m138Mn= iWX82u/gk6i1ujycm5tlwDn8Syvm138EniWX82u/gk6i1ujyRZubXAkvo8Syvm138EpOFl/Nrv4= JOotbo8rybm1wwOfxLK+bXfwSeJZXza7+CTqLW6PKcm5tl88o+icLL+bXfwSeJZfza7+CTqLW6P= K8m5tfNKx3ObxLL+a3fwSsYWX82u/gleptbo8pybm1wD6PEsv5td/BKeJZfza7+GU6m1ujycm5t= l88jnnCzPm178EniWZ81vfglY1NrdHlZs3NsuAc/iWX82vfhk8Sy/m178Er1FndHlOTc2y4EnzP= o8Sy/m178Ek4OZ82vfgk6izujycm5tl8w+jxHM+bXvwSTg5nza9+CTqLW6PJybm2XzD6PEcz5re= /BKeI5nzW9+CTqLO6PK8m5tl869szxEczL9vTNobq1PG8Z07buqZdjrTT4S1jV1U8x3xzEP0sLo= +3rFc117U1mOO7nDr/RidXYj+uPJybmP+Mvxce1Fq3FPn88uV2H4i70+iuseyV/ovxE3p9FtY9k= r/AEY6uxvjy5ci7tl10di+Iu9PotrHslf6HxE3p9FtY9kr/ROrsb48nIu7ZdclHY52JvT6Lax7J= X+ifETen0V1j2Sv9Dq7G+PJyLu2XXR2L4ib0+iuseyV/ofETen0V1j2Sv8AQ6uxvjyci5tl11j5= 3ZfiJvT6K6z7JX+jH4h71+ius+yV/odXY3x5WLFzbLrg7H8RN6/RXWfZK/0PiJvX6K6z7JX+jXV= 2N8eV5FzbLrg7H8RN6/RXWfZK/wBD4ib1+ius+yV/onV2N8eTkXNsuuI7J8RN6/RXWfZK/wBE+I= e9forrPslf6L1djfHk5FzbLrg7H8Q96/RXWfY6/wBD4h71+ius+x1/onV2N8eTkXNsuuJy7J8Q9= 6/RXWfY6/0PiHvX6K6z7HX+h1djfHk5FzbLrg7H8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHlORc= 2y64Ox/EPev0V1n2Ov8AQ+Ie9forrPslf6L1djfHk5FzbLrQ7J8Q96/RXWfY6/0Sdh71+ius+yV= /onV2N8eWuRc2y61PenDsnxD3r9FdY9kr/Q+Ie9forrHslf6HV2N8eTkXNsutTHZ2I7N8Qt6fRX= WPZK/0Sdh71+iuseyV/odVY3x5Xk3Nsut98I7J8Q96/RXWfZK/0T4hb1+ius+yV/odVY3x5OTc2= y64yh2H4hb1+ius+yV/ofEPev0V1j2Sv9DqrG+PJybm2XXkl2P4ib0+iuseyV/oTsTen0V1j2Sv= 9DqrG+PJybm2XWx2P4h70+ius+yV/ofEPekf/lbWPZK/0Oqs748rybm2XXB2L4ib0+i2seyV/of= ETen0V1j2Sv8AROqs748rFq5tl1ye9JniHZJ2JvT6K6x7JX+jjq2PvLnj4r6v7JX+h1VndHleTc= 2y66OwfEfeP0Y1f2Sv9D4j7x+jGr+yV/ox1FrdHleTc2y6+xdi+JG8foxq/slf6J8R94/RjV/ZK= /0Ootbo8nKubXXk4dh+JG8foxq/slf6M6NibzqjrRtbV5j+Er/Q6i1ujycq5tl1+I4jgl2P4ib0= +i2seyV/ok7E3p9FtY9kr/RrqbO6PJyrm2XW+xOHZPiJvX6K6x7JX+h8RN6fRXWPZK/0XqbO6PK= cm5tl1yCYdj+Im9PorrHslf6HxE3p9FtY9kr/AEOps7o8nJubZdbHY6tib0+iuseyV/onxF3p9F= dY9kr/AEOps7o8pybm2X6PAD8C/WgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD79v6Vla5= rWLpOHTzfybkUUzPdTHnqn6ojmZ+x8D3n4P20/ENKr3Hm25jJzKerjxPfTa/wBL7ap/oiPSg9G2= 5pGJoeiYulYVHVs49EUx6ap89U/XM8z979EiOBAAAAAAAAAAAAAAAAAAAAAAAAAcVc8yzrniOzv= cYJwjIBiLwgJMCgIkxyvADHjhO9mkwDHhGRwDDgZcJPcDivVdSjmO/wAz4/O5r1XXrmfNHZDjmB= WExDGaWcwA4+IThyTDGY4US3RNdcUx53300xTEUxHEQ48S31aetMdsudFYpLLhBEJXhBMJwjJOB= UlOIZSgNRAGkAAAAAADl+1tbFx9Qp1PT68eLmVcw6rmHVH7VNy3MVzEfbRFcfbw7PG29OqysKIx= aJtaPdm1rU01TPhOra8NVM+jmabtv/dp88g8+OXctH0zS8/B03WrmNTRj4l3I/lK1RMxE00R4W3= H1daJ8H/ux5zWNP0rS8bUNWoxaLuPlZdidNtXJnjwVVMXq/t4iaKJ+2QdNHoVe2NPs39QsXMejj= VbtVGi1TVPyafBeGpmPTz17VH31eh1nc2HaxKMLDx8Oqi9i4VurOucT23bny+30cRVRT9sA/Dct= +xXZtWrlVdqqLtPWpii7TVMRzMcVRE80z2d08T53bNcr0jQ8qNCo23j5seL26qsu7cuReu1V24q= 69E01dWKYmeyOrPZHa59O0HTM7L2xau0UWreRpt7JyO2qJvVW670xE9WJntiimPkxzx3RyDo47n= uCjbuVoGVkY06RayseqjwP8m2sziqJniabk3aer3czE8xPZL9CbG36922tq29vYtFrJot0VZc3L= k3qLldqKutT8rqxETPdxPPH1oPPHLTYrnFqyYrtdSmuKJpm5TFfMxM9lPPMx2d/HDsmLGnaNtfT= 9Tu6NjapkZ927FVWVNfg7NNuYp6sRRVHyp55mZn0cQ4rmLh5e2NSzsbTYxrs6pYt2bfXmubdFVF= yepEz2zHMR39vZCjrZ//ALveh5ek6VXpuqadXjaFZzcDDru8Yd3IuZFuu3x1uvXMTant5iY5757= H5moXNK0W7i6RG2cbUPCY1m5cyrly5F6/NyiKubU01RTTETV1Y7J/Z7fOg/A1XSbun6jn4dV6xX= OFX1a6puRTNfbx8mmZ5n7I5fnO77ixMa/rO9712x1rmNMVWZrj5VEzfopn7+JmHz6jc0rRqsTSP= i1j5/hcazcuZNdy7F69NyiKubUxPFMRNXEfJnu7QdVosV141zIiq1FFuaYmJuUxVPPPdTM8zHZ2= zEdjG7buWa+pdt126+Inq1RxPExzH88TEu5a1p+nadc3Jes6faqjT9VsUWbV6KpiKObnNE8TzxP= ViJ7eezvfRr1yjWt5YuJRomk26LOLZyL1XhLlqmq3GNRXPhKpqniimO7jieI75lR0S1T4S7Tbie= OtVFPP2vs3Bptej65naXcu03q8W/VamumniKppnjnh2jcmHpdzRcPVcG3pVF2jUIxq503w8Wqom= nrcT4aP2o476eztfl9I1q7O+NfvRbrm1TqF2ma+rPViZqniOfT2T/Mg66cw7xqEaNo+uWNufFrH= z7dUWabmTcruRfvTcppnrUTTVFMR8rsjie6OUu4Gk7ewtduXtOx9WvYOrxh49V+qqKOrxc5mqKZ= jn9mOznv+xR0gdy1W5pOheJafO3MTUJycW1k3ci7cuxXXN2mKuLXVqiKYp56sTxPbHa/I3zh42n= 7sz8PDsVY9i1XEUW6u+mOrE8T9YPxAAAAAAAIiapiKYmap7ojzg7P0Z7Xubq3RZwqomMO1/hcqv= juoif2ftqns/p8zaaxat2LVFq1RTRbopimimmOIpiO6Ih1Dom2rG19sW7d+iIz8ri7lT54njso/= 3Y/pmXcmQAAAAAAAAAAAAAAAAAAAAAAAAJEq5nsBhM8zyizCAnHApwCBMAJMIyAYizCAgpwCJwo= DFxX6urTxHfLmmYiOZfLXM1VTIsOLhJhnwgrCYSYZzCcA42Vqjr1xHm86zD6LNHVo+ue2RJZ+bg= AQAFSYRkTAMeEZIIgvCA1CAaAAAAAAH06ZnZemahY1DBvTZybFcV264iJ4n7J7J+9z2Na1Wzb1C= 3azblNOpRxlxxE+Fjnrdv3893pmPPL88B9mJqediadmafj5E28bNiiMi31Ynr9Weae3jmOJ57jN= 1PPzcHCwsrIm5j4VNVGPRMRHUiqeZjsjme30vjAfoX9b1a9Vp1VzNuVTptNNOHzEf4KInrRx6e3= 0+iI7ohlk65q2RVqU3s2uqNTqivMjiIi7MVdaOeI7OJ9HH8z80B+zjbp3Bj4EYVnUq6bVNE26Jm= imblumf82muY61Mds9kTD469W1KqcGrxuumrAo6mLVRxTVajrTV2THE99Uzz39r4gH6usbh1nVr= MWc7M69qKuvNFFui3FVX+lVFMR1qvrnmXDTrGpU6zb1inJ4zrc0zRd6lPZNMRTT2ccd0R5nwAP0= 9H1/V9Js12MHL6lmuetVauW6blHW7ut1a4mIn64jlx5WsanlWsi1k5ly9Tk36ci9NfE1V3KYmIq= 63fHEVT2cvgAfuZO7dw5Niuxe1GaqLlubd3i1RE3aZiYnrzFPNc8T31czHmYYO6NfwsGjDxtRqp= tW4mLczbpqrtR6KK5iaqP92YfjAPvv6zqd+5n3LuT1q9Q48amaKf8ACcVRVHm7O2Ins4dq0TOro= 0nEt0b6x8TGooiK7d7EqnJx/wDSptVRRVMR38cVU/ZHa6MA/Y1/XcjUNQ1auxVVbxNQy/GJtVUx= M9k1dTme/mIqnuSNya3FWDXTm9W5gUdTHri3RFVNPHV6s1cc1Rx2cVcxx2PyAH6up7h1jUrUWsz= Liu1Tcpu026bVFFFFVPPE000xER+1PZHf5+XHn65q2dby7eVmVXKMzJjKv09WmIruxEx1uIjs75= 7uIfnAP2sPde4cTDpxMfUq6bdFPUt1TbpquW6fRRXMdamPqiYfmxnZcadc0+Lv/drl2m9XRxHbX= ETETz391U9j5wHd9v51y3o+Nas73xcKxRH+Es5OJVVex557fAzFFX2xxVT2+h1zdmpWtY3JnalY= puU2b92arcXP2urxERz9fEdr8sAAAAAAAel9A2051fXp1vMtz4np9UTb5jsuXu+I/wB3v+3h5/o= +n5WrapjabhW5uZGRciiiIj0+efqjvmfREtr9paJjbd0HE0nEj5Fijiqvjia6v86qftlJH60RxA= CAAAAAAAAAAAAAAAAAAAAAAAABLGFn0AITCgjCYRmkwKxOFnsQEFJgESYUBOEZJwCJwqVTERMyD= hvzPHVj73C5J5meZ70mIkWGEpMMpiUFY8Jwz4SY8wFmjrV8z3Q+hLdPVpiPP52QyicLMAMRknAI= AAnCgqIyOAa3+TPfHqK5+db948me+PUVz8637zaAXKNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq= /5M98eorn51v3jyZ749RXPzrfvNoAyNX/ACZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+d= b948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8= 637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav8Akz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8= me+PUVz8637x5M98eorn51v3m0AZGr/kz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8AJnvj1Fc/Ot+= 8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db= 95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/wCTP= fHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948m= e9/UVz8637zaAMjyroT2Hl6FdydY1zGiznTzax7c1RVNFP8AnVdnZzPd9kT6XqpxHogQAAAAAAA= AAAAAAAAAAAAAAAAAAAEmFBEADIAGE4SYZAZYIzmEmBWKcMkBBU4AcN6fldWO5yV1cRy4e8GKTD= LhBWKTHLNOAYcSzs08zz6CI5nhzU08RxAJwKCMTheAGIpwDHhJZAMRZhAAAfoAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgpwJ7oEwAAAnDGYZgME= ZTDC52QK4655q+qGEwzlAYDKYSYBjMehGREczwC2qe3nj7HIccAInDIBiLwnAJwjIBicLwgIKkw= CcHCgPuAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAOAEwkwKSCAgo4qp608s657OHHwJhJSWRwKx4RlwnAMeGVuniOfSRHayAOABBU4AABJhGQDE= XhASUZJMAnBwqA+0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAABJ445VjX2iYYTzyjJOBWPBwoDEmF4POBTCgCcIyAYi8IAnCgIKnACKAnCMk= QQ4ZU0zVVEQ5vB0ehRmAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAABMseFnvBGMwkwzSYDLBJhnMJwKxWIAE4FAQJAE4UBOEZJwCC8IBwigIk= spgopmqrjzA5LNPEcz3y5OfqAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAABJVJAAAAEwJMKAxmE4ZpwKwFmAEOABOOBTgEAASYUBiMkmARzW6= eI+1x245q+qHNAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAgnHCn3ggqcCgAAAgnCgMOEZpMCsRZhACYAEFSYABlbjmeQZ0xxCgAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AJg4SVAQAXIAGAATCJMMgMsOEZ8JMCsRZQDjlyUxxHEJRHnZAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACJMCgIHCCqAAAI= nCcdrIgFAFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAO04ARBUDIAKR2qQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHHaAmAAUAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAmU5fkbu3Hpe19LjU9Y= vV2cTwlNublNE19WZ7uYjt4YbZ3PoW5sa5f0LU7ObTa4i5FHMVUc88cxMRMd09/oa5dfp9WPZib= lMVenPu/a5OWq1vpe3roOu5+PGfb1DGt5VyKbWXR1uIiueyKo4q7vrbI7M1ivX9radrNePGPVmY= 9N2bcVdaKZnzc+d6dVobumiKqu0vNptbb1EzTT3h+z5uSJ5dO6Yd31bI2Hm63Zooryommzi0V/s= zdqniOfTERzPHn4eDbL0bpw6QdMr3HibvvYWLeuTFqq/m3LNN3iZiZoot0zEUxMTHdH1PI9jark= eG5WD0j7J6MLtOq9IGlYesXdXpqt6hm3671qLE2uPBc3LVUxVNVMzx1fv8z07B3Fp+kbJ0nVNzb= g06nwuHZm7m1XIotZFybcTNVHMRzFU8zEREdnmgHZB1XTekXY+pVZFOBuXAyJxsevJvRRXM9S1R= HNVc9ndEPmp6VejqqqKY3fpfMzx23Jj/kDuY+LK1fS8XSf5WydRxLWn+Di541Xdpi11Z7qutzxx= PMPwNN6SNi6nqFjTsDc+n5GXfri3atUVzM11T3RHYDtg8p6LN1alas7l1DeG/ND1jBwq7c0V4nE= RiUzVXExc4tUds/Jj/O7pdlsdKXR5evUWqN36V1q54jrXurH889kA7iJTVTXTFVMxVTMcxMd0qA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAADy/wCE5+7G5/F2v+bqXwR+7c3/AA3/ALrtvwnP3Y3P4u1/XLqXwRv2dzf8L/7r7Vr7s= q+v+HxLv3jT9Hie5P8AKHUv4u7/AG5be9EP7sdv/wADR/U1C3J/lFqX8Xd/ty296If3Zbf/AIGj= +p6uNfYW/wB/Dz8H+3ufv5dD+GBjX7/Rfi3bVM1UY+qWrl3jzUzbuUxP4qoj73Yvg46jg53RFot= vEv267mLbqs37dNUTVbriursqjzc9/wBku5bm0TT9x6Fl6LqtiL2Hl25ouU88THniYnzTE8TE+m= HgWb8GOvxu7Vp28PB48zzRTew5muI9EzFcRP28R9kPzb9G7V8MCf8Awtxv9q2v7u68d6UMvJzNf= 2Fpl/TsnVMTH29p82sC1VVE5M1URNUR1YmeZ4insjn5L1ijoLyqejC9s6rc1mq7c1enUIyZxZ4i= ItdTqdXrffzz9z9je3Q1i7k0Lb1q1rN7Tta0TBs4lrOtW+YrptxHHNPWiY7YmYmKuznzivP9sY2= NOi7xrp6KMzaVdvbGfNObeuZExXPUiPB/4SIjmYmZ9PyX42wdibY1b4PmvbozdPmvV8SMmbORF2= uJp6lFM09kTxPb9T1HQeineGLa1bH1jpFzNWxtQ0vJwabN6m5VTRVdo6sXOJrmJ47X6u0+jK/oX= RJquxatYt37mfF+IyosTTFHhKYj9nrdvHHpEa769m5eR0NbD0i7l3KMK/qGb4Tmrsjq3KIp/m8J= Xx9rZTbnQ/sHRM7C1LT9GqpzMOqm5avVZFyqrrR3VTHW45+516joP0/J6LsTZ+p6rNzKwsi7kY2= fZs9WaJrntiaJmeae7mOY7o7YfPszoh3hoGv6Zm3ekjPzMDCvUVThzF2mi5RT/mcTcmIjj6uAea= dE2p6JpG0OkrL3Fg1ahp/hseivFprmnw1U3LvVp5ieYjrcdvoj7nXN3VafnbOu52n9EWZodiuKL= lrVqb+RctUUzVEd9VPVmKu7v75h7hoHQZbxNu7o0XUtc8Yt65ctXbdyzj9SrHrt1VVUzxNU9btq= j0d0+l+Fe6BN23dH/kW50l5NemRTFEYlVi5NrqxMTEdXwnHETEcfYD0noAy8jN6H9u5GVdqu3Ix= qrfWq7+rRcqopj7qaYj7ne3XOjPbde0Nkadty5l05dWFTXTN6mjqRX1q6qu7meP2uHYwAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAeX/Cc/djc/i7X9cupfBH/AGdzf8L/AO67b8Jz92Nz+Ltf1y6l8Ef9nc3/AA3/ALr7Vr7sq+v+= HxL33lT9Hie5P8otS/i7v9uW3vRD+7Hb/wDA0f1NQtyf5Q6l/F3f7ctvOiGf/DHb38DR/U9XGvs= Lf7+Hn4P9vc/fy7NnV1W8DIuUTxVTaqmJ9ExDVLYm6OnPe3js7d12rIjCqoi914x7fV6/W6v7VM= c/sy2r1P8AxZlf6mv+zLX34Fn/AJW7P9Zi/wBV5+bfo4fNsTpR37t3pKs7Q6RqvC05N2ixVNy3R= Fdmqv8AYrpqojiqiZmOe/7uJeoba1nduT0raxpeoZej16FZornFtWL9qrJpmJp469EVdaI7Z74j= zPFfhN128zp10jGwZivJoxsWzXFM9sXJvVzEfbxVT/PD7sXUcnSOnLpL1PDq6uTi6TmXbVXHPFc= Rb4nj6pBsVnbk2/p+TVjZ+u6Xi3qe+3ey6KKo+2Jnl1rpG3RmfE69n7G1nQr+ZayLdFV29mWvA0= xPPMTVNUUxPojl4r0KdFW3977JzN0biy9QyM25lXojwd+Kf2YieapmJmapmZnnn0OmaHER8H/c9= Md0a3iR/wCmoHs/TdvzXdv9F+3snA17Dxdx5FePVmU4tdq51qarNc11Ux2xNE1xHFUdnd2vS9qb= q0jM2liajka7p1ybWJYqzbvjNHFquumP25ieKZmrmO3jta9dN+29Lt9C+yN1027n8qXMPAwaq+v= PV8F4tXXx1e7nmO93bL2z0d7G6FcnM1TEzq8PW8bCqy7Nq/M3L92ni5RTRM9lPbNUz9UT9gPXMf= de2Mm/RYxtxaReu1zxTRRmW6qqp9ERE9rzLpX3duLSOmnZ+habqdzH03Pmz4zYiimYuda9NM8zM= cx2dnZLwLeU7Mu7fjJ27s3cek3+vTVby8nIm5Zqp9Hd5+Y4mJ9DvWtZuVqO/uh/Nzb1V/Iu4GFN= y5VPNVc+GmOZnzzPpBtTAQAAAAAAAD8PfG4MbbW28rVL/wAqqinq2aP9O5P7Mf8AOfqiXgHlU33= zP/xqI+rxWz7gNmxrJ5VN9+u49ks+4eVTffruPZLPuLgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMD= ZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZL= PuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7= hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx= 7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/Xcey= WfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTff= ruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367= j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyq= b79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+= /XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsay= eVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHl= U3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbN= jWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9= w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcM= DZsayeVTffruPZLPuHlU3367j2Sz7hgbNgIAAAAPL/hOfuxufxdr+uXSfgp52FiVbioyszHsVXZ= xvBxduxTNXHheeOe/vh7zq+mafq2L4pqeFj5mP1oqm3eoiqnmO6eJfkVbE2ZMdu19In/AISj9Hv= t6ymnTTYmO85y+dd0lVWpi9E9vhrruLok31d1LNzsTSrWXYu37lymbWVb5mmapmOyZh6F0e9It3= auiYW3t57c1TR7WHbps282rHrm3VEeers7Pu5ek2NlbYxuZw9IsYcz3zi1VWZ/nomJc8bdtW4mn= G1LU7duqOKrdzInIoqj0cXet2fZw6XuIc+iKLsZiP0Ys6CbNc125xMvtsZeJrGj13tOy7GTZv2q= ot3bdcVUzzHHfDWvTPg/9JGmzd/k3dmmYXhJia/F8zIt9bjnjnq0RzxzP873jE2dj6ZkXM3Rb9O= m5NUzM02LfVsXezs8Ja56sz/81PVn63Z8abk2om7TTTc4+VFM8xz9T51WM+z6VE1Y93h3RZ0E39= A3RZ3LurWLWpZuPc8LZs2Yqqo8J5q6q6+2qY74jiO2Inme5+3onRdnWeljc259Uv4ORpGtY17H8= Woqr8L1bnU5ir5MRHZTPdPnetJMcstNVq9nZ+1bmda2X0y6BjaZc5uV2bupRbrniJ7Jpp60TPHZ= zHHPofN0PbM1Pe/Q9uLR9Ov41i7d1excpu5E1RRPUo5qj5MTPPyo8z2SvoG6Na7lVyrRsiaqp5n= /AL7e7/xO97b0DSNt6Ta0nRMG1hYdrnq26OZ5nzzMz2zP1zMyK6HvXozydzdD2jbNuZ9jH1DS7O= NNF6Imq1VdtWptzE9kT1Ziqrt457ux1ux0R7y1Xo+z9r7t3VjZUW6sevSK7XWuU4824rpmmrmmm= ZiYqpjvmY4+rt7rujU83P3nZ0rCuX7GNptrwmfNNVdEVTdpmLcxNMTz1erNXFUxEzMejs65rd/e= utZ1i9GHrODHgZt0049FVvwXhOrz1p5+XVT16O2eI5t3PNPLtRYmr5eeq/jtDquq9EfTBqm3adu= 5+9tIyNLt00UU49ddziIo46kcxa57OI879+50Sa/Xruws/wAf0zwe3MbHs5Udevm5Nu5NUzR8nt= jifPw7Bcyt5YOhYFjBwL1zxm1NNyK4u1XLHWimmOZqmaoqpmvv7qot1TERzD6NG1HdOu61gWNS0= vK0/CouU5VdUW6rfbFuKvBVVTPyoiq5THPEczbq7OJ7HJnGcrzo7YeiUqlKuLsAAAAJVPCuidM2= 7I25tmbGLd6uo5vNux1Z4qt0/wCdX90dkfXMegHlXTduyNwbknT8S51sDT5mimY7q7ndVV/RxH2= c+d5+faKACgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAADdABkAAAADgAODgAOCIiO4AAAAAfLXp2Bczac65hY9WVTTFNN6bUTXERPPEVd/D6erT6FBMJ= 1Y9BFMQoKAAAAATPAOLMyLGLi3cnIuU27Vqia66qp7KaYjmZaqdIG5L26dzZGp1zVFjnqY1uf8A= Mtx3R9s98/XL0/4Qe6/A41G18K5/hL0RczJj/No76aPv75+qI9LxBYABQAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABugAyAAAAAAAAAAAAAAAAAAA= AAADG5+yANXemD94+sf62n+xS6mCgAoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAA//9k=3D" width=3D"793" height=3D"1121" alt=3D"" s= tyle=3D"margin-left:-1pt; position:absolute" /><svg font-famil= y=3D"Times New Roman" font-size=3D"16" height=3D"41.33" version=3D"1.1" wid= th=3D"209.31" xmlns=3D"http://www.w3.org/2000/svg" style=3D"width:209.31px;= height:41.33px; font-family:'Times New Roman'; font-size:16px" xmlns:xlink= =3D"http://www.w3.org/1999/xlink"><defs /><g><g><path d=3D"M0,0 L209,0 L209= ,0 L209,41 L209,41 L0,41 Z" fill=3D"#7c7c7c" fill-rule=3D"evenodd" /></g></= g></svg><a href=3D"http://www.anatomiadigital= .org/" style=3D"text-decoration:none">www.anatomiadigital.org</a>1Ar= iana Nicole</span= > <= /span>Sari Y=C3=A1nez</s= pan>https://orcid.org/009-0008-= 7576-8002Universidad T=C3=A9cnica de Ambato, Ambato, Ecuador.<a href=3D"mailto:asari4346@uta.ed= u.ec" style=3D"text-decoration:none"></a><a href=3D"mailto:asari4346@uta.edu.ec" style=3D"text-decorat= ion:none">asari4346@uta.edu.ec= </a>2</span= >Nicole Estefan=C3=ADa Malliquinga Salazarhttps://orcid.org/0009-0009-7264-4490Universidad T=C3=A9cnica de= Ambato,<s= pan class=3D"awspan" style=3D"font-size:10pt; letter-spacing:-0.3pt"> </spa= n>Ambato, Ecuador.</= span><a href=3D"mailto:nmalliquinga2892@uta.edu.ec" style=3D"text-decoratio= n:none"></a><a href=3D"mail= to:nmalliquinga2892@uta.edu.ec" style=3D"text-decoration:none">nmalliquinga2892@uta.edu.ec</a>3Sara Ab= igail Paredes</sp= an> = Pilcohttps://orcid.o= rg/0009-0007-4226-9912Universidad<spa= n class=3D"awspan" style=3D"font-size:10pt; letter-spacing:-0.3pt"> = T=C3=A9cnica <sp= an class=3D"awspan" style=3D"font-size:10pt">de Ambato, Ambato, Ecuador.<a href=3D"mailto:spa= redes6408@uta.edu.ec" style=3D"text-decoration:none"></a><a href=3D"mailto:sparedes6408@uta.edu.ec" st= yle=3D"text-decoration:none">sparedes= 6408@uta.edu.ec</a>= 4<spa= n class=3D"awspan" style=3D"font-size:10pt">Dr. V=C3=ADctor Pe=C3=B1afiel Gaibor, PhDhttps://orcid.org/0000-0002-0187-4143Docente Investigador U= niversidad T=C3= =A9cnica de</spa= n> = Ambato, <s= pan class=3D"awspan" style=3D"font-size:10pt">Ambato, Ecuador.</span= ><a href=3D"mailto:vi.penafiel@uta.edu.ec" style=3D"text-decoration:none"><= /a><a href=3D"mailto:vi.pen= afiel@uta.edu.ec" style=3D"text-decoration:none">vi.penafiel@uta.edu.ec</a><= svg font-family=3D"Times New Roman" font-size=3D"16" height=3D"16" version= =3D"1.1" width=3D"571.93" xmlns=3D"http://www.w3.org/2000/svg" style=3D"wid= th:571.93px; height:16px; font-family:'Times New Roman'; font-size:16px" xm= lns:xlink=3D"http://www.w3.org/1999/xlink"><defs /><g transform=3D"translat= e(0.02,0)"><g><path d=3D"M570.96,0 L0,0 L0,0 L0,0.64 L0,0.64 L570.96,0.64 L= 570.96,0.64 L570.96,0 Z" fill=3D"#5b9bd4" fill-rule=3D"evenodd" /></g></g><= /svg><img src=3D"data:image/jpeg;base64,/9j/4AAQ= SkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAAyADEDASIAAhEBA= xEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAUGBwgJCgEE/8QAPRAAAQQBAwEEBQgIBwAAAAAAAgED= BAUGAAcREggTITEWQVFWoQkUFSJhltHUF1JicpGSlbEkM0JxgdPh/8QAGwEAAQUBAQAAAAAAAAA= AAAAAAgEDBAYIBwX/xAA1EQABAwIEAwYEBAcAAAAAAAABAgMEBREABiExEhNhByJBUZHwCBQV0R= ZCobIXUmJxcoGx/9oADAMBAAIRAxEAPwDuP2yx2jt9v8Mt7aN8/srXFqGysJ0mTKcflzp1bHky5= Dziv8k49IdNw18E5LgUQUREct3R4FRVU+4tWK+vrayK7Nnzpkx9mLEiRwV1999030FtttsSUiVf= V4eOo52uuFb21wJpCJEDDsbDz54QaiIPK+KJxwnt5+zz1BfavZnZ/ilPtjCtpdQGXW0ZmbIiqnL= sdqQ0LceQnKKcY3nBcdbRU61bBFXw414GYs0UPKVNNazBJdi0pqTBjSH2GFyXkKnzGILAbYR33F= LfkISAkE7mxthz5CsVFEqPQoaJ9WESW/CiPPpjtPuxmFvBDr6zZtvhRdSjqUggakYqJvV8pJtfh= 1lIrcBw2rsobDrjQXmRzZ8VuegKoq9BrGHCmlHJUVQckdBEKipACkiabG1Pym+CZDbMQs0wKlcr= 3HBF6ZjVhYJPiNqXSTy1s90CkNgi8mjbglwnCKiqiazi+UzxDE9ut9cTwTFI0aDXU21eNttsgja= SZjnzy1SRZzFFEJ+XMfQ3pDxIqqZdCdICApGPYHpajIu1PtnR3tfGtKazdvYVjXy2hdjyIkjH7J= t0DAk4ReC5Ax4NtxAcBUIUVK9J7UozOcBltnL0NylJqDVOMtyTJ+prS4psCUlwL5SF2WFhrkrAs= ElXEQRszL3wDTK58MX8c5XbJmeHn13JM/ObVBjUejOZMivQ4smS3Q3YrjaqjIYWqOGVzhNbe4VK= cS2CA3jrtwddsc+xutyvF1r7ijuGBkQJ0WRJUHAXlDbdBXkNiQwaE0+w6IOsuCQOChIvLml4Ziq= xJCt1rQr3Lq9QvykJOAJeUXv0US9hJworwqeKJrNDslzpm0u9O82wQT5MrGKiX6RYu2851rGjSl= YdAfYBnBlxQkIKD1vMqfSnPGtE5N0Sxn/rrwrLyeK8f6C/v6/L2a6ZUoyIMnlIWVtONtvMKOpLL= yAtsqIvcgEgnYkX87YJyjXX8xUVubJjpi1BiTKp1SjIUpbbM6BIXGkhtaiVKaUpHG0pRuULTcmx= OM1/0lbge+mQf1OR/wBmjUcd6v2/zL+GjUDmJ6+h6ff9D5YtfLHmffs+xrevbuyUMAwseUXoxWh= Ffrfq1kVPj/v8dM3dwZT0amyGEnVIx2aEohFeVFrrB0XFROFUQdaHrX1Iq88cKqN7B7UwwzFQQ1= Tox6nDj92CwKePr44Tx9nGvlh7q4DdTp1JBzTE7WyiT1pLCqiZDUTpsazVH0WqlQ2ZbjzU4kjyR= KE62L3+HfBW07o0Hn/aDlFvPWUazllyUqE5UGGzDnJSFmBUIjyJcCWEWusMTGWHCm47qFW309nL= 9X+hVeJU0M81EdwpeYUVcL8ZxBaksq8UlbSyEqvodxsRRnfzsSt9sntJ47u5f5cmPbc0OFUVRPr= qh5EymwtYc6xkTIAEqdFfF7t9ofnhI6romvdNr4qi9j3Yax7s/doHDd6dv8gUcDon7N64xy4fR+= 1gd/UzI7Q1MpUFbFHXnAAGHUF8OtF6yFFJLYy8QZalLMorKTUmaqSNtG4gAi+PSBtmjiAqr4ApE= Pq5VPNPiY/FuJskbTJTvHKqQEabEbmK+5CkEy1KGLLFXnHIrpx3mH0ZIG3CYdadRFBwCXhERXan= CCoUnsjp9Tzb860+vOSczxG8tSpDKkpbqTrKkfVYzKgA67TWmLrJWlKwopUnTEft4zFEoacv0/t= Nl0/IycqTMpfgtVFU8sUqeypuQ0tsj5WTPBcUWak47zGyEWIRxpLP7NLF/lm627W+N/VS6ZrIJ7= lHRwpzRsSRhxXG2+FA0FS7iLGisuuChAT/AHnQvCLxeKRar3L5KqJw04i8L+wSfZ7efFfL+GoNx= 7JaKxqmH8Ysqyxp2yfiR5NNMjTa/vIb7kWSy3JiOOsG7HktOsSURwnAkNuA7w4JIiq/bmjD31y8= GnPBP3C/t8P4a1c5Pnz24r9RRGZmiHFZkNQi4YjbrUdCXUxi6eaWA4lXL5nf4LcVzqcY5doUPLk= JynRJMmYHZ86e7LloabkSHp0hUhx15DN0JcUVAKCDwjhFhilvel9n8w/ho0md6ft+K/jo0fCn+r= w8f8fsf08tLBiaMfs+8w+ohpIcYVzH4kYXmSUXWVOADSOtkhIouN8oYEnHBCiovhqiQ9ne5dx/b= nDsotttqeq2qjU1VHv6JywocxyaBUVV1FatLa8hya+yrJFgchu1mxGJbgSbBLCYck0JU1aChthb= pKkFJeW6+GHl59MdtPHz9fnx5f8AGqo7+dnuw3Xm5RcU+XBXO3mNpX/QkysB+LItYWP5PRVrzs8= nOtiF3WSyDlsJGd70mWxRUFSTUVJA0BtcmxsSADYC4O59fugsL3OpUT42sbAbDrrhoLt3uVisCr= usv7SETIIUtvb+hfBzPslZi55KgRsXxuZjbi1VgciOEy/jSZDlvS93Pees3FtXCB2USzLtHiz23= O58yzyfeChu4Wc0hVg4emU2sv5jaY5iGM093PhWMuydm2k4W6l1uxm3z71pHhpHeB9qQclSiyd2= TIM+xdt3surmZ1jkVTf2LUTDa1utgHR2uO2cJvE69X1axp2SWOxxs5EZXFmG/JcMEUkTTZg9iiu= Yr5sKXuAclybDKGctnGo0J0EKpbrXHmAjygbgrNKNGenx64YkR1spUVlllp4ehzueK77Xsm1zdJ= Bta19QAdwDvvhbgG1+l7G2pHTzthdxns15zSYji+A4fvZBrm4+BQKyBNoc5ydiUsZutmRLhulqI= 9wURyusreV9OJftNFYxJTYsMPtgICOmVY/CoaOHS15PjAqq5qBEGVNm2EhI8VhGmkkTrCRKnTHU= AURyVLkPvvFy488ZkRLnvt12aKvbzNsZzSvyUllUzNn9JR2q6USWjtnMtppMi5ZWlmkSGw9auG3= 3DQS0cE1CQLUh1pbeO3A9y6vWX+WfPKcJx0rz6kXy8dASLixNvE2IvoANLb6jp6jAjhJ213vb+3= iR1GI+739r4f8AmjSZ1L+ovx/DRqVdP8w9FdOnUYLGoV7gWCleXJlheJkZ2cwzIscp1IzN0jMyJ= YaqRGZEZEqqpESkqqqqukv0BwT3KxL7uU/5PRo0wd/9J/4MEnf0/cnB6A4J7lYl93Kf8no9AcE9= ysS+7lP+T0aNJhxW49/mTg9AcE9ysS+7lP8Ak9eBgGBkXBYTiJJ18cLjdMqccp4cLC44+zRo0Sd= /T9ycNq2Hv8qcWa9GMa93qP8ApMD8vo0aNTsRcf/Z" width=3D"49" height=3D"50" alt= =3D"" style=3D"margin-left:481.95pt; position:absolute" />ISSN: 2697-3391</s= pan>V= ol. 8 <spa= n class=3D"awspan" style=3D"color:#ffffff">No. 2.1, pp. 1= 9 =E2=80=93<= span class=3D"awspan" style=3D"letter-spacing:-0.2pt; color:#ffffff"> </spa= n>33, abril - mayo 2025 Rev= ista en ciencias m=C3=A9dicas, salud p=C3=BAblica Art=C3=ADculo de revisi= =C3=B3n bibliogr=C3=A1fica.Ev= aluaci=C3=B3n Integral de la Hipoacusia por trauma craneal: Fisiopatolog=C3=ADa, Diagn=C3=B3stico y TratamientoA Comprehensive= = Evaluation of Hearing<span= class=3D"awspan" style=3D"font-size:14pt; font-style:italic; letter-spacin= g:-0.2pt"> Loss due <spa= n class=3D"awspan" style=3D"font-size:14pt; font-style:italic">to<sp= an class=3D"awspan" style=3D"font-size:14pt; font-style:italic; letter-spac= ing:-0.2pt"> Head Trauma: Pathophysiology, Diagnosis a= nd TreatmentArt=C3=ADculo</sp= an> de Investigaci=C3=B3n Cient=C3=ADfica y <span= class=3D"awspan" style=3D"font-size:10pt; font-weight:bold; letter-spacing= :-0.1pt">Tecnol=C3=B3gicaEnviado: <sp= an class=3D"awspan" style=3D"font-size:10pt">17/01/2024 Revisado:<sp= an class=3D"awspan" style=3D"font-size:10pt; letter-spacing:2.95pt"> </span= >15/02/2025 Aceptado:</span= > </= span>27/03/2025 Publicado:<= /span> 08/04/2025<sp= an class=3D"awspan" style=3D"font-size:10pt">DOI: <a href=3D"http= s://doi.org/10.33262/anatomiadigital.v8i2.1.3389" style=3D"text-decoration:= none"></a><a href=3D"https:= //doi.org/10.33262/anatomiadigital.v8i2.1.3389" style=3D"text-decoration:no= ne">https://doi.org= /10.33262/anatomiadigital.v8i2.1.3389</a>C=C3=ADtese:Sari <spa= n class=3D"awspan" style=3D"font-size:10pt">Y=C3=A1nez, A. N., Malliquinga Salazar, N.</= span>= F., Paredes Pilco, S. A., &<= /span> Pe=C3=B1afiel Gaib= or, V.<spa= n class=3D"awspan" style=3D"font-size:10pt; letter-spacing:3.35pt"> = (2025). Evaluaci=C3=B3n Integral de la Hipoacusia = por trauma= </s= pan>craneal: Fisiopatolog= =C3=ADa, Diagn=C3= =B3stico y= </s= pan>Tratamiento.<spa= n class=3D"awspan" style=3D"font-size:10pt; letter-spacing:4.85pt"> = Anatom=C3=ADa <sp= an class=3D"awspan" style=3D"font-size:10pt">Digital, 8(2.1), 19-33. <a href=3D"https://doi.org/10.332= 62/anatomiadigital.v8i2.1.3389" style=3D"text-decoration:none"></a><a href=3D"https://doi.org/10.33262= /anatomiadigital.v8i2.1.3389" style=3D"text-decoration:none">https://doi.org/10.33262/anatomiadigital.v8i2.1.338= 9</a>ANATOM=C3=8DA DIGITAL, es = una Revista<= span class=3D"awspan" style=3D"font-size:8pt; letter-spacing:0.45pt"> </spa= n>Electr=C3=B3nica,<s= pan class=3D"awspan" style=3D"font-size:8pt; letter-spacing:0.45pt"> </span= >Trimestral, que se publicar=C3=A1 en soporte</s= pan> = electr=C3=B3nico</spa= n> </spa= n>tiene como misi=C3=B3n contribuir a la</= span> = formaci=C3=B3n= </s= pan>de profesionales competentes con visi=C3=B3n human=C3=ADstica y cr=C3=ADtic= a= que sean capaces de ex= poner sus<sp= an class=3D"awspan" style=3D"font-size:8pt; letter-spacing:1.55pt"> = resultados investigativos y cient=C3=ADficos en la misma<= span class=3D"awspan" style=3D"font-size:8pt; letter-spacing:1.55pt"> </spa= n>medida que se promueva mediante su intervenci=C3=B3n cambios positivos en la socieda= d. <a href=3D"https://anatomiadigital.org/" style=3D"text-decoration= :none"></a><a href=3D"https:= //anatomiadigital.org/" style=3D"text-decoration:none">https:= //anatomiadigital.org</a>La revista es editada por</= span> = la Editorial Ciencia Digital (Editorial de</s= pan> <= /span>prestigio <spa= n class=3D"awspan" style=3D"font-size:8pt">registrada en la C=C3=A1mara Ecuato= riana de Libro con No de Afiliaci=C3=B3n 663) <a href=3D"http://www.= celibro.org.ec/" style=3D"text-decoration:none"></a><a href=3D"http://www.celibro.org.ec/" style=3D"tex= t-decoration:none">www.celibro.org.ec</a>Esta revista= est=C3=A1<s= pan class=3D"awspan" style=3D"font-size:8pt; letter-spacing:-0.45pt"> </spa= n>protegida bajo una licencia Creative Comm= ons Atribuci=C3=B3n= -NoComercial-CompartirIgual4.0 International. Copia de la licencia: <a h= ref=3D"https://creativecommons.org/licenses/by-nc-sa/4.0/deed.es" style=3D"= text-decoration:none"></a><a= href=3D"https://creativecommons.org/licenses/by-nc-sa/4.0/deed.es" style= =3D"text-decoration:none">https://crea= tivecommons.org/licenses/by-nc-sa/4.0/deed.es</a>Esta revista </s= pan>est= =C3=A1 protegida bajo una licencia Creative<span= class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spacing= :-0.2pt"> Commons en la 4.0 International. Copia de la licencia:<span= class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spacing= :2pt"> <a href=3D"http://creativecommons.org/licenses/by-nc-sa/4.0/"= style=3D"text-decoration:none"></a><a href=3D"http://creativecommons.org/licenses/by-nc-sa/4.0/" style= =3D"text-decoration:none">http://creat= ivecommons.org/licenses/by-nc-sa/4.0/</a>D </sp= an>i a</spa= n> g n =C3=B3 s <= span class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#= ffffff">t i<sp= an class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-sp= acing:0.45pt; color:#ffffff"> c o = M = =C3=A9 d i = c oP </spa= n>=C3=A1 g<= /span> i n a 19 | </span= >33<img src=3D"= data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEB= AQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQH/wAARCAAbAEwDASIAAhEBAxEB/8QAHQAAAQQCAwAAAAAAAAAAAAAABwQGCAoDCQECC= //EACsQAAEEAwABBAIBAwUAAAAAAAQDBQYHAQIICRESExQAFRYhMUEKFxhRYf/EABcBAAMBAAAA= AAAAAAAAAAAAAAABAgP/xAApEQEAAgEDAwMEAgMAAAAAAAABAhEhABIxA0FRE3GhYYGR8CKxMsH= R/9oADAMBAAIRAxEAPwCfl6dRttBwy5rftexbEVDAvq92BmawJlMDX+Uvqt82EwQqBQ5lGedVDn= U/AwDFH2UBLVAIIdPGugrYAqogvrrlzzh3rExLQbE6U5qZXwVJ4jFT3LYtyyezf1RKeFwR5sTG3= wVribwQhsnsW2paORLcopsgWkkSiohoDW9lj018tXj9hljBAuMFF6k8jVjxNmeMp7MkgvSunW6p= BV6BqS2cIbuDA5j4kcd9+MqZehBkkNd1Fc6bOHPdnbGlE9Fyoa/enVev4++SgW6uehuY3ZxgHMd= aBdTV9CnOfQuUYrfQFd+jNGOckkcObE5DKVZ0AM7yRAAvLFlFXOEIjKWVust8V35/DrDp9Md021= ZzKtrCVVNJ45xR20rg1/dEwG9SuSO04fNqK6J2YCZbBDGa0JlIamvOGgL5FcZLVMq3dkcmrta2P= a9Rs3RN8acZ1UMFRxtprkhNx/TfQc+uGG0HPlK8rznBiBdL6viwpHPZI1tD+6sOJQ11tAosJLmT= SRzJWOrBuzmsc7BtzQk6tAqvymH6o6NLveWQiw+NuJbgi962r0XNYd5I41EaWuS4arOqifSSJSX= BjPPo8zCHxGEmSyECxHdxVxKUWL6D2S1KJKrKFMW+RcEJfKr/AOPflM8bl4PekFf+uhLTvDnSTO= Ti3x0a4XCX1fGAC6wjkjeFB2jM5is6goACEZKK0OcY6+Cnt+qmuhmBpIRj1K7SGVK1YxOH65x3+= 2pOlA6u1tGG6tzQiFGbp5q/jSESadR1LVdC9I2bOZDaXKV/uMai/wDuc3qTus7FoSaTM/Vmh7Xe= dfkTiRBNbLIZIsFFNn0F0SyySN4YgnQNJNzSU/Gg79UuVjX9afP0F6xqznZtoCDAzu8bkvy33/X= VuScddyEorWlf7Thkc5w9NAWqRUuc0i8Nka3c2htISXcT00Pwb05iHUZ4R+c/FG1alvvZHR0kZp= jcFcBObRJV+b4+Be7RZ88sOz3JgKcGuHtYsfhje2wZsNcP3kglkiaE2gQtEc9YQyVlEeZJFG+tu= GunKt5+PuCyrvmHUnHdhdKLOEMriwhLGa4eLKYZG7hjyOsoiFnV0+xYxExjbnEVzOYnaIvDYC7N= 4Z+wzSPqBdNWA1njj2/vTYdP1Ym7t/hueRinCNpffgPppUxWjdcNrulOhSeggOneRr2lrLWQFz1= +4WHAJdUFqv5CTayw23YSZMnsYP7shVTijgWEWhvH5OsI3uI+6BSRecs/uyzngq5XOPXqz870Fz= TtGgL96duKS2VKGZsnE00CUidT1rBY/Ihnabz1ySdGvcgYZVTI6zs1AhhOBhW6aMZrOS7Ej1F13= xVJ+wK6uh26UtWHTCZcpt6yd1S3jaiItYMOtMR0dOjACBj1ZTHdo5vFylZgm5fy17dcCxo45IIt= 2INza7tbZHro5Oe2Cjy7qx2ZW/enLjT0nKnCvaq6CRj28eWltdtNjJEhM7TaMNLazUo+zSPJQCo= RbWSoAs3ZOOa6Q35eRx5quTvpbOmdUhdXBU3OW4gUr2vBWH767Ra/rHY45HrgB6Waeq+WXmy2ml= JnbUEVtuo7I56tiS/W1h7HdlTTR9/bNMflhZgDWFIcIgbCOTszaqBkBuSRWtj7xkvr9IucnvaQP= z2/KtF43SyNpT46nPRwzQJNDFw27VwdVzDtwwti1kgkFCN0wxvjEG1SFQRRTrLXa7yaTvPaEfsD= erW/rbyd23ya4Y5oo2x2q52jmSiuVTC3F9uG6LFiiOIg3SKUaHLtow4pChr+9LxsZlTdNE3lVps= q+LDHpzjLcf1zjHQt4Yx6/wB/T+W7+nr/AO5/vn8cXb1P4hTDPgzGgrizWsIQ9bbWPTlLaqgk4U= grTl/vvrz7bj8jIE47q6U5bv2VBUc30n2/f0h5W6Zh4BKchpS44Z0LPnGKP8v9CtsOMUeFF1WiQ= baaIjoira/f1TB2WcG2znUvni7Rh0DAj1u+PAjpSXigDiNV58u3jWylTWfhJHGgkmObpHog7wXV= yTxoSagRg9AVXZfRBBFLGumumTrXxs8VzLq3pyXSOmP2MhlHQlzyJ9cMWLa4X3nl7seSubmZ9Rv= nQoIv2TiVl/rhjDioe/4x0EUdNE9R2zcD8uRcDZpjcMmrC1qa+zduaL1v1uBzrvtn3a/VFs9JHG= NvXPr6aY9fXP8A3n8YBxj/AH+b+NVTzGgaaTj2DyfOs3kz8qdtHzqN9J9QulWNl116m6CckcK1r= KEbCjFKGPyWQXq37zmDfsKK+zrLPuQ1tYgKaIo+i2UGzKaShqYsXOX++e5PJKFYcM3ZuQfoQlSG= opsdr1tMZADJJJNyJANGWloQYm6U5CLIJjpaCjiciGOhuQLphbfZbOuDOX4weHHEhU0+lSTjCd8= qkFl2pc5JK6u3p7lFl1rE3VV32/zvvtttn/OfwjVvw5zPT+z5mr4VJ4JtJhxBX1SNXDdLYo5JNu= 5C7dlZVCw9VNVm9ckhYElLZMkRVZRQdVPbfOcjEW0FOP398aWyK3IJS8p7Y+Na+bR8mHVnDTbXI= 0SYeK9Q7nhYFoMolPQpyQUVhbxohtGnuT4zhr3CNeNtnBNBlOU3d21RrM1cBRfeh8pQ5y758gfk= cjFsNTNB+R5I1VNrCXJ/itlQ5zNVdB5aW/oJuEbbtsuqR5EeEjbm7PCSeyB6TSisQCmVlFVLWQj= 542OL5Hlqy/VEe75Y2YGPM/37Wucj9axt+VtwWoP5LDz8AImxC+yA+nomnlVTOuMe7P45YHwZy5= WGxi1dwSTwpVxLAXPVjdyXc0qFrNSZqLaqRuJYyeym4SLw6JD7bZznTQ8rXH9FdsZWyF3tLx8aP= Thd7I35rP5+2oQ3P5FOseAdxIpHWDjkZ+Kdj4/YkaqupZ5HtodNWdqY3cyPO769sEZj8yyMJIBk= NHuGvMmZtjBTtETcibAGuLioTyMdveQCKW+0kRrk13Cq1gCkP8Jn1Zy2Xuk0cTW+TuILdEo6wAy= c1YpNGKnJuDn9VJFq3Na1CttASCzAZizzhjmW0m+MNliwqUzQCHgbARkWQ3JdjkizC76ojbJiak= WLtnXbYYEIbZbfO6+RgxR8qZRHR005rnhnmWot3resYTJ4NvIxUw3zaOXDdTbs4oDaFfWwvsjYe= M/KLgsvUYlPOhI+pROqKumpC2NzZHGDHGj04Xu2xvzRfb/hqAV3+RnuLx2SGKV6vUHK8M3seuYn= aYm9d104NQBQclQXwu1OS2+zUuU+xV3DcY8/Je0kUN4ALREKIRxhXe9n/pxbumHSvi7r28pzo1h= S2xLdvx3fBmQXcVqTLHs99atfpjqrLKJJ5Hb0M512V3z8md9vXGM4xip/O+A+VbMUBJsKAyaaEN= ijnu3LyW5bveFgf3bgu7u2giptjrboJHOa6xy6KW2qOSVVFddNdt9vW5f4VKjr2ivHzV1c1XH8x= aGNcqtI0Fmw7Pj38BLrYL+eer+wkTm7uqv2C1lFfYscoml7vjR1TS110wEYmQPuXx73qoxjFuIC= lWYa8fvfOv/Z" width=3D"76" height=3D"27" alt=3D"" style=3D"margin-left:-1pt= ; position:absolute" /><img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJR= gABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEB= AQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAAiAEADASIAAhEBAxEB/8= QAHQAAAQQDAQEAAAAAAAAAAAAACQAGBwgCAwUBBP/EADgQAAEEAgEDAgQCBgsBAAAAAAMCBAUGA= QcIAAkREhMUFTFBIZEKI1FhscEWFxgnKTJxcoGhpvD/xAAcAQACAgIDAAAAAAAAAAAAAAAACAIE= AwUBBgf/xAAzEQACAQIFAQMKBwEAAAAAAAABAhEDBAAFBhIhMSJBcwcyNFFhcZGxssITM0JyobP= B8P/aAAwDAQACEQMRAD8AMgw7guzeZXbh5o2G1wUXR7drCArjZnNUl9KMfiyv5eIdpkAZWdTqMd= gILPtqbO85x68eFYynz1YPsR7o2vt/TW0w7PvljvmaVd4qGrTqzPyy0jHRTmAE6KyzJu/ckHYcO= FZWP4xydYvOUIUkeMJwIPhRj/DS7kmft8qpWPv9fj47x/34/PH7+iY/o7eP7nd+5/Hz/WTCY/8A= Mg+v/wB/Lpjda6eyTJ9NeUm1y6xtqFLLNaZVbWB2h6ltQqWaO9KlVfdURHYncA/aHxwtWis+zfN= 9T6Buswvq9epf6azGpdFnKrcVEuKyo1RF2q7gAQ0dRMScauWFKnOb3dWZ8Pb5su90rR2stIp2Cq= tUmfcQBbNPvAxrsrs+Uets6eoLNNRicOWzrLONjDjaJCty4Xl+XzWmsu2/tHh1RaTZdvzFJnr9v= LY1iLM7Kky5IqB1xAOHjWYimjZqxs0ehlCDzFxsklImT8zhyNeVuM+Jx56cQNMXnctB5FO+Va+H= u7IuHfViIvLexVuD/pZCsc/rWqm1gdscPnUYCT+EORsYifgnbcDsK0Jbelp6/wCHVM2m31bcr7z= g/tOR2kLfs2ZlbM7e1N+FzAbIpcPUHdTkZOFkitohlGoj3ki3dK9RSHkzJz4SNPS7SpFMhoUCCg= VvYC27oCZ494EYZXEPa37xmzto1PYWyIaoccI2r1mgbOvkNr9zunEjvErCjM3xY5U1RGDVa2beR= K1CV4rJgFAxcIdoDgZAqW66R3bduVhMLMck9GVWqVG/cZLXyW1rK69tzmcdzELWoRE4GDmWckBv= 8qfyoCIaDzlRENnS0YUsw1ZVhya87Q2KXTrfRaXyMevNRXWkX2qQ8S61nr13OsIbYTN77ThN/aN= G1hlQR65DDpqhT1IHYkCErOAenGJEtfbp05Io1HA7D26ksDojiNcNA2OHcYiYtzK0mbqi4KRvcg= 5I8UuBxEgHmTQ5yIjFsYKVlNhKM+RhRnhRtmDwxIHHMRwZ6wSesYMV93byt5gbE4NbU3jtXS1a1= PqCd17SbdRJXXe4JphtMy57Z+vm8AFy7i2frgAyEJIvXbxw1dKMQKcRxgIG9MlGO6O6ZtDjMMTZ= bPi9aanVaxRX5as739hW/pGHkoKFOfJ6YRr7hrEkTpblTcp8uXKEKcrGpZMozLFS7ctuvPHKzaS= Hzhtm1tA3KhQdWoLNVeqMpGVyPr92qtohJWLnIoyMzXwjSrmghYy5w3+HkCkT4W3EnEO7n7Quvm= 8ncGDjlY21rB8gJWEinUBbKVr6Xlp22NoVuxzH1CyT/t2Bs4ehjVuwREK7S4EnBfT7iEqX1ELR3= clR2ieyGnb2YPJPMSfV/GDAruFCsY7aXckT+2LpOcf8P43Pj9v28fs/f9PJLP0d8uEaf3/nP32T= CeMefw/Gst/v+f2+349M/iZ25OS2otE8h+P24NZ5mKxyAFBNnVg1xsujAna83iSCITIm1lQqPKU= hAIykmffxhHrRkOFKSVM+cX+F3Ijg28njaFtMjNUqzyzaStGrty0uIdfMiNQIaicxexNZT8qeHk= ktUqEN2atuorPhGXcVjxguGA1vqzT2aW3lCyuwv6VVs81LYZvllym57S4trW3SlUAqjtI87goqI= oJHLCcLdozTefZVe6IzK9y24p0coye9sb6jsP49u9es705pGC4UOCzK5gGIJGNndqolM2fyj7Zl= Dv0QxnKZadq7MibHESK8oZv45w0oOTN3KkEGrAlenHqzgiM+cfXHnoaHJama94ic1OReueNELDD= 1hYeF0tZdha8w5NOUxjOhxImQCRjVO1owjCIyCk0MzmyQBJMix5GN2gfR6t+8PdR8/wBjrM2+WO= 29bWXVpJ2RgWdOtcfAuGz2yjhwybgE9iEmBSrZPyRr8EVpmPcgxk3xIUrX7YuTrbtF8R9Y0/bVX= h2+xpuS3TVz025X+23FNgvya24I2KSNhZhzEoYRaFEagUQo4ghz4GgbkhhDEhHgSsaahWMlV2lA= AUJ3Bg27dzHdAMgR3zhjqbrURai+a4DCQQYPSQeQfWMD8g+XXNC9/H6v4yWLTep6dxe4V6U2ncT= W+pO56QtUhLaSrd6cQ9XjcYKCNi2TV2iIjceUhDhrgxnJkmQIFd4Pe28OTLTY9wW/1zA7Suna7v= F5tN6NSBHePoaOuMwztNZbhbOwDagmKlHPIyNUlOURss4byuUmyBQV2k508DbFK2qPhdCcW9t2l= 7DaDqWqGW56RySgdYjsLStV0lTr0NsaqO6w8Ta0V+Oj4rMk6CWI+cNF5YpK1EIfs2R4/wDCDV3E= /QVY2Rvt1Ku79A8W3uhtpRMfJCf1N1VrFMPpqUrsRFgj8SEhOGdS2IEDltIkRIEz6WzX9cheJAg= wAm52YBFQAsST0IkliT0ELzz0nA9RKSNUqMERRLM3AUDvJ7v+GKQ6X3nvjjT29OLb5/yp13QHez= n7ZpqGDBx9sOzrCamsYl/8wqOYSuvDPpiXaS520qex5GAIWpER/sqKdCsRcDlztHldjignbzyFn= bJqPuZ1uhtLXDVOToibPCF11Ly0e9f06XSh9AyAlnciM1OgRMCwFJR+8kpCWdfcR+3jDMqfo/F3= 5HZJXLgG40KwNtkGRMapl5Zm4jHVdr0uuHQGFi3bOMC4cMTMJDJjKZnZvUvSqyuV9V8SuBtakKd= AUrY23rraWHI6D3XEDnLowmrJMbMjINFYK5lHR6szU9gY+OkimnWhFhfDO3WfDtOEpEXO1vVRQ5= oVFDSytsHCMSJMchSoHsBB9s1EzOwdiq3dEsH2bd4kvtDbQP1NBBIWT19WDg5/y4/3fzT1n4x7f= 0x+X7+l0utWe/8Aav24t0/NHuX6Fx8J8YwsXjGMeFY8eMYx485/H+Ofz67Sfpj/AEx/DpdLrKvQ= e4fLHK9Ph9K496p3zMCI+tKmI4hmGvc+phrGVCSIWM1vZBKhSF4ylSChIQRE5xlKxrWhWMpUrGV= 0urVn6Vb+KnzxQzX0G48Jvtw6K/rnXpmkPMGolNLLOW8G7cShaxCEkXDoQwOBuTPlscuSuBuEpO= gxCqIg2MFSrC8YV054LXtBirG2l4uj1CNlgGdGBKMK1Cs5EJnWT4clE9bshuRkcYITByILhRsLX= gmVerPldLrZv+TU8P8A1cddt/SKXjp/XTx//9k=3D" width=3D"64" height=3D"34" alt= =3D"" style=3D"margin-left:-1pt; position:absolute" /><img src=3D"data:= image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADcAAAAnCAYAAACrDdDdAAAABHNCSVQICA= gIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAACExJREFUaIHtWHtsU9cZ/333+l47seMkTlLSv= EgKYRplqCIUmJZSGFUnEKwCCejGVqAqMDaxaes/458pmrZu0zpagVoNOlE2jYmlk4YGZVuFCn3w= bGmhIxUBCgECeZDEju1r+77Otz/8wPEjJCbsn/Gzjn197j3f+X73fK9zCPcRx65EJ9uy5VYLGMs= MNiNSYP50d0+h81OhA3Nh3Sufli1trVzkJPm9ZbNrBlp/fviADnVeQcIYiBpmcDgc6a/wOK1Kr+= usR5E+iNjaR6Fbw70nXlkVvZsIR0ET58CW7ZecF6O9y890OZfWeIs/ATBwcyhSZkh2ZaEymbkSk= vJIv2bjthZuLVLkDYokOlzusr/M/817hyY19V18a9UqO994qdCJM9SgG9w7oy+kr+sNGrWxiREK= IkpegElCxGTnsE6zBmLiF4Fg7LWrn5Q80bLzYyXf+Akht+zloxW3/OaKQMxqsZjliZCZBCU+ACH= 5Y9twDUbs+X4TP4tdvfXEgra2nBZ4z+RWtneoDOUbgaj5LcNm991EMgPMDBYi+SdPE/HnEh+AR8= oByTGmr5pC/bFS9ORjyBE/7tnnej7vqdMEbY6YYjIS73h0xJWc3uA9eeFGYF++pyQiaqj0NCmEB= d0BrTFqCK9ILh0AgMAMl27jyeEof3vdm6e796yf05su457ItTFL7/zyyIsDQ8YcZpLGE3rdTld7= t0W/z3e/MdRHvke9ik9yV5S55a9f6tO2BKLmTMGQ4iZKADNMGx5Nt5/p7Y8ebWM+2EYkJoTc2W1= Hlt8Y1NfagAIiEN99TBIsKIodS/R897sAdO1BDECImf/4vTfPaSeuDr00GDYfYSBuugBAoJBuNw= 1G7EWdvzt6HMBAUkbBPrdm98npN4N41Qa7Acp0iQkFEdlqtXt/lRt/U2WEAY4baCKaWgwK69bCS= 8NWffq4gsi1/vRgeefV4NabQb0uKWJCq4Ec2LGkWZ9aU/aW04Fr4NS6gSju55phN2imOa1l485U= ahg3ud/+6ZzbUBxr+jXxdEo4JXzgPmNeffl5n1s5SxKyErfNKFUk6fGSmmnOZN+4yLUzy6cD4QU= RizbZQOX9X6+RWL+wKVZR4jwNwMq8xwAE87yhsL842Tcucv/afWzq9UBsXcjgZmZI9D9YrUyEg9= oZmUUWOQAIGyivqX14/OR+dfCz8muDYvWQZi+0BKeWnplHNBsQE1V+5cKshoqYzzNyn5FM8UUut= XZylXdKsn9M5Fa2t8vHLwTn9Q0bqyOG8DHnTtaKTDF/MPTuYMTvvxcCo6F11hT4PM6sfgLBMAzX= 5190eZJ9Y8pz18/6KoNWaIVm03SOS0oLIIR4aGZ4FOlIVDP2vLq8NXDvNHKjsrQYqkNGur9TQgf= BpJoWxh5QVrZ3qMVeda0usMYSadERyTzKAIjdqtxfV1H09+Ut9V0TSycbnOHrcbNkELMgYaUy7l= 3J6d3+mT3+6AsxC0U5pgHAkCGiRQ46WO6S3v7hkua8VcdEoGdgGLqRGU8YAEGWJavUW5Kaf1RyL= 7xxclJfMLo1bHJz3AyzPY0YdpGC8z63vHvfltZbE0FgNLxz6gKGQlHkKokUVQlPaaxOuURen1u8= /ZDzYp+2oS9sLxGctnHMFCgjUFks7WWDTmXe83lVmBjp/Mzx0smtUs5wfjcM2I6HAhGL0teFQGA= wYjGjp7NnsCvZn5McM9N33zj3zOXu3g2GDddo2axYdVi+EtcUW+DFtbs+uvxwjfPdXy+d6QeAls= bqP1vk+HDkiHjR7itRTxdCTjfteYJISV84TnxXup1DeoRTZys5yX1n56kvd3SHNkdMro335KenG= ey70Kc/xywQsfDPYrfzUwB+AHhqbs3ecldVzp254zq0l8dJbPPrH5Qfv6nNYgF5pEoMCYAp7Pdj= ihnJS25Z24Hiiz3aen/EbGGWJBAn3DUbBMAUQjGFKGMGYha7DSGn7GXVow+Fx6n/qLgyqM8NxsQ= Mgey9o0K4LQt8XKqpuQMKM8vOCt/qoG49azKVgEBEUl5/A6Ul8/tcib3+4e0vxRTlJ4JRj4wynQ= CUFMmdHkV0Hm1bmPLlESu3bNuRGdf89rOawTWZ2jIziAEmWBI4Kxgk9r+GbIs73rCyTZ1aPadg2= pcB1Oi2PLXeWbv78NkfDITtuSZDJkrkusR5i+pARGZxEAh2p49PkVv00uGKawPGipBBc0VaUcx8= R1dZhuWU7BOWaX1mM8yRqghIQjkPVR9O9jRVf+WbBpm1YyEiAYhbdOqUAHUAVIfs6x22n4raeMw= GilP1SEIvIrKLHHSmyqMc/ffWlRq1ZZBbvP2QMxSkp3VBzxm2KM3am3HcDjxO+cpkn3dbfYn69q= 5NszPIAdcBnBihsfQjm5TWbHlpoS5eOcGm5KWc1s2IMcU3OJQs8+4oRSB2OajH45L3NVZ4/0M08= qBDAjOVKlXTwzpvjJjckL3pjFchqixFvS758KQix8lcxHKCZDBJ2U2S7zS68ytIBhKNSQaTAyAp= 5duUuI4XfMROmYarS9T99T7PP3Ztmh3JnF56fnen59rt4PPBmP01wSylMn/y/BAAEXGRIl30eZQ= Djd9/vH9MxNI5Mo+5pZ9dUiLhJ193fFsl4i/bgWCDz7W3eVLJazO3zM1ZGTmu9t5a3BeyVscske= dYmqA4KFrhcbxfV1dzIv3o7H4i3b6SJkrMcCmy7nXKHd5i+kNdhXv/no0tvaDc524O0xTLLdO8L= DF9kS+suWX55rTa0r/uWjVlOM8jOUGwOmQhF3x8GDc/Gy4HMLnKg2KX65Rh2sccKk41SdV9OzY1= 69hUqPQHeIAHeIAH+D/AfwGHvNIQr2XQvwAAAABJRU5ErkJggg=3D=3D" width=3D"55" heig= ht=3D"39" alt=3D"" style=3D"margin-left:-1pt; position:absolute" /><= span><svg font-family=3D"Times New Roman" font-size=3D"16" height=3D"16" ve= rsion=3D"1.1" width=3D"367.95" xmlns=3D"http://www.w3.org/2000/svg" style= =3D"width:367.95px; height:16px; font-family:'Times New Roman'; font-size:1= 6px" xmlns:xlink=3D"http://www.w3.org/1999/xlink"><defs /><g><g><path d=3D"= M367.0399,0 L0,0 L0,0 L0,0.64 L0,0.64 L367.0399,0.64 L367.0399,0.64 L367.03= 99,0 Z" fill=3D"#000000" fill-rule=3D"evenodd" /></g></g></svg><= p class=3D"awdiv"><svg font-family=3D"Times New Roman" font-size=3D"1= 6" height=3D"16" version=3D"1.1" width=3D"367.95" xmlns=3D"http://www.w3.or= g/2000/svg" style=3D"width:367.95px; height:16px; font-family:'Times New Ro= man'; font-size:16px" xmlns:xlink=3D"http://www.w3.org/1999/xlink"><defs />= <g><g><path d=3D"M367.0399,0 L0,0 L0,0 L0,0.64 L0,0.64 L367.0399,0.64 L367.= 0399,0.64 L367.0399,0 Z" fill=3D"#000000" fill-rule=3D"evenodd" /></g></g><= /svg><svg font-family=3D"Times New Roma= n" font-size=3D"16" height=3D"16" version=3D"1.1" width=3D"454.61" xmlns=3D= "http://www.w3.org/2000/svg" style=3D"width:454.61px; height:16px; font-fam= ily:'Times New Roman'; font-size:16px" xmlns:xlink=3D"http://www.w3.org/199= 9/xlink"><defs /><g><g><path d=3D"M454.4,0 L0,0 L0,0 L0,0.639895 L0,0.63989= 5 L454.4,0.639895 L454.4,0.639895 L454.4,0 Z" fill=3D"#000000" fill-rule=3D= "evenodd" /></g></g></svg><svg font-fam= ily=3D"Times New Roman" font-size=3D"16" height=3D"16" version=3D"1.1" widt= h=3D"454.61" xmlns=3D"http://www.w3.org/2000/svg" style=3D"width:454.61px; = height:16px; font-family:'Times New Roman'; font-size:16px" xmlns:xlink=3D"= http://www.w3.org/1999/xlink"><defs /><g><g><path d=3D"M454.4,0 L0,0 L0,0 L= 0,0.64 L0,0.64 L454.4,0.64 L454.4,0.64 L454.4,0 Z" fill=3D"#000000" fill-ru= le=3D"evenodd" /></g></g></svg><img src=3D"data= :image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwI= BwcHBw8LCwkMEQ8SEhEPERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQc= GBw4ICA4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh= 4eHh7/wAARCARhAxkDASIAAhEBAxEB/8QAHAABAQACAwEBAAAAAAAAAAAAAAECCAMGBwQF/8QAW= BABAAEDAwAECAsDBgsGAwkAAAECAwQFBhEHEiExExQXQVFVlNIIFiJUVmFxgZKT0TI3dBWRobGy= syM1NkJSc3WChMHTGCQnM6LDJWJyJkNFRmOjwuHw/8QAGwEBAQEBAQEBAQAAAAAAAAAAAAECAwQ= FBgf/xAA1EQEAAQMCBQMBBgUEAwAAAAAAAQIDEQRSBRMUMZESIUFxMzVRYYHwFSJCodEGIzKxNM= Hh/9oADAMBAAIRAxEAPwDpoD+lPxQANEosoAAECSqSLKAKgAkkJPeE94pIACT3Is9yAABAkqkiy= sBAIkosoKkrHckrHcqACCSEiwACglXmVKvMCEhIIAKAJJAAQsJKLKKSACD9HDteCt8z+1V2y+XC= tde51qo+TT/W/RYmWK5+BjPeyYz3sswANKAAJKpIAAADIAKgAqsZCQPgAlCEqnsYkiNQkosoKMZ= 7e1ap8zGGKpy1TAksuWNTDeQFpjsIgmQWYRqUhJ7wnvAAASUVBRJUnu5QYVT5mE9yzPM8pPc5z7= ukIkwqpgliLKfZ2osLTT1qo9Dk+5KY6sfWy5daacQ5VVe76AHocAAaJRZQAAIElUkhZQBUB9uBp= ebm4OdnY9masbAt03Mi5PZFMVVRTTH2zM931T6Hb+jros17fGi3tV0vO02xZs5E4805FdcVTVFN= NUzHVpmOPlR/S897VWrNM1VziOzrbs13JxTDoU96PY5+DxvD1tof5t3/AKZ/2eN3+ttD/Nu/9N5= f4tpN7t0N/a8cOXreV8H/AHxZpmbWTo2R6KaMiuJn8VEQ6JuzZe59rXONc0jIxrfPEXojr2pnzc= V08xz9XPLva12nvTiiuJlzr0123GaqXX57kWe5HrcAAIElUkVYAESUWU5gWElY7klY7lQAQSQkW= AAUEq8ypV5gQkJBABQBJIACFhJRZRSRaYmqqKYjmZ7kfZgWv/vao+qlJnDMziH02aIt24pjzd7M= HNyGM97JjPeLAA0oAAkqkgAAAMgAqACqxkJA+BJWUSSElJhkiNMZRlLCe/hJnCwkx28oyYzDm3E= iSqSKR3s0pjiFVBOFFGEwMp704BAQCUVEX4GFc89jKZ4hxpVKwhCjnhtAEBaKeZ59COWmOIappz= OSZSUZVMeJdXPD6QHVxABolFlAAAgSVSSFlHPp2HlajqGPgYVmq/k5FyLdq3T31VTPEQ4GxXwZ9= gzh4kby1SzHh8imY0+irvotz2Tc+qau6Pq+15Nfq6dLamue/wAO+msTfuRTD6N57OxdlfB71LTb= c03MqvwNzLvRH/mXJuUc9v8Aox3R/wD3L7fgm/u6zv8Aa1z+6tP3/hDTHkk1iP8AVf3tL8D4Jv7= us7/a1z+6tPy1Vyq5oaqqu81f+n26aIo1VNMfg9T1vVcDRdMvanqeTTjYlmIm5dqiZinmYiO765= h1WOljo9nj/wC02L+Cv3XF0/8A7pNc/wBXb/vaGnTpwzhlGstzVVMxiWdbra7FcU0w3m0Ddm29f= qmjR9bwc2umOardq9E1xHpmnv4+5+nnYuNnYl3GzLFvIx7tM03LdymKqao9ExPe0MxMnIw8q3lY= l65Yv2qoqt3LdXVqpmO6Yluf0S7hvbo6P9L1fJqpqyq7c28iYjjm5RVNMzx5ueOfvcuI8MnR4rp= nMNaTWRqM01R7tcOnfYNGy9ft39Opq/kjP5qsRM8zarj9qiZ9HbEx9U/VMvN23PwktMtZ/RVnXq= rcVXMK7ayLc+emetFM/wDpqlqfpUzTqeLNNm1fmL1HFu9zNFfyo7KuO3ifPw/QcJ1VV/TZq7x7P= l66zFu9iO0vedP6O8Kvoyo29XoVVWu5GlVanGp+Kz1aLvXiqjH8Jx2VdXsmOfNM+d0jb3Rxo2dt= jb+rapum9p97XMivGxrNOnzdiLkXJoiJqiuO/iPNHe9Kubc6b691U6/Tq2k0RExP8n05t6MTiKe= rx4P0T39/f2vl1HY3ShmWtIteKbUsW9J1CvPxrdm7dinwlVybk0zz/m8zMREcdnnfJt6qujMc2P= ec9/r7f9PbVYpn+ifb2dH0Dojrz8/VsHLz9Qt3NPz6sTwuPp/hbVcRETFXWmunie3mae3jsfp6T= 0c7Z0zTd9YW48+u5l6NNiLeXasVT4CiunrU3IoiviqaueJpnu6vf2ubeWsdJG0IzLm5Ns6Jm6fn= Z3jkVXLNV6xavcRT8maa4mn7Kvr4878nae6N+7n3BuTU9I21pesRqduxTqWHctc2OKKerbmIqri= e6mrzz5/q49M16u7RNfrj0+3aY/JyxZomKfT7vjwejrQ6NO0S/rW6b2De1+5VTptu3gzcjq9aIo= ruT1o463NPZ5ut9U8fTp3RRh0xkU63uSvBu29bjR7UWcKbsXblUUzRVz1o4iet9z5r2+Nz7UvWd= C1vbeiXcrSrs3cOnMx+vXhTX8uIommrjiOYmO/js9Ecfi0dIm4PFqbV+nEya41mjWartyietXfp= iOIniYjqdndERPomHoijX1xmmr2+sf2/RxmrTU94di3H0V4Gn2cy5p25pz69O1CxhZ1m5gzamib= tVMRMT1pir9qP1fqal0c0a/u/WsOa68K1pVy3i0fyZpEeBqiaIq5nm5z1uZ7eZqn6+50zL6SNcy= KtXm5i6fH8rZtnMv8AFuv5NdqYmmKfldkT1Y555+52La28d87o1DW7OnbY0fXIzr1Gbk4l6zM27= VcUxRFVPNcT3RHfM/c5XLeuop9VVXb5zHzhuivTVTiI7uldI21ruzt15GhXcujL8FTRXRepo6nW= pqjmPk8zxP3y69Hc7V0sZu4s/eV+/ujTLGnal4K3TVYsxxTTTFPyZ/aq831v1dS6JN1afs+rdF+= 5p04NONTkzFN6qa+pVETHZ1e/tjzvqWtTTRao51UZn+7x12Zqrq9Ee0OgAPY86SEuy9H+ydY3vn= 5OFo1eLTdx7UXa/D3Jpjjnjs4iWLl2i1TNVc4iG6KKq5imnu60P2d6ba1HaWv3dF1WbE5Nqimqq= bNc1U8VRzHbMR6X4zVFdNymKqZzEs1UzTOJEq8ypV5m0QkJBABQBJIACFhJRZRRnZom7ciiPv8A= sfqUxFNMUx2RHY4cK14O11pj5VTnYqlyqnMgDLIxnvZMZ7xYAGlAAElUkAAABkAFQAVWMhJIfCS= IqSsAIglUsOGVU9qcszLpEIKkwipwcKSQSACZABUnvRZ70CA4AVEmGTGqeIQYVT2sPOySYYlqEA= RUAjtngwZZW457XIkRxHBzx3ukRhMkosoqPoAdXAAGiUWUAACBJV9eiaXm61q+LpWnWpu5WTci3= bpj0z559ER2zM+aIZqqimJqntDURMziHcOhLYte9N00+M0VRpOFMXMuru6/+jbifTV/VE/U2+tW= rdm1TatUxRboiKaaaY4imI7oh1/o72rh7P2xjaNh/Kmj5d+757tyf2qv+UeiIiHYrlNU0TFM8Tx= 2TL8NxHWzqr2fiOz9NpNPFi3j5+XgXwot60xTRsvAuc1VdW9n1R5o76Lf/wDKf93637/wTv3dZ/= 8Ata5/dWnUel3oks6Lt/Vt3X9w5efmeEi7cpuWaaYrqrriJ7Yns/adu+Cb+7rP/wBrXP7q09t+b= P8ADoi1Off3+rzWuZ1ea/wdl6f/AN0euf8A0W/72hpy3F6f/wB0muR/8lv+9oadPof6f+xq+ryc= V+0j6Daj4LMV+TOvr89X+ULvU+zq0f8APlq/p+Hl6jm2sLAx7uTk3qurbtW6Zqqqn7Ibo9Fm3Lm= 1th6Zo1+KPGLVua780zzHhKqpqq7fPxM8c/Ucfu08mKPnJwqieZNXw+bpr6kdFm4ev3eKTx9vMc= f08NN9I/xrh/6+j+1Da34Smq2sDoszMeqvi7nXbdi3T56vlRXP9FMtUtI/xrh/6+j+1DHA6ZjTV= z++zXEpib9MN1OkvW8vbexdT1vAptV5OLaiq3F2JmiZmqI7YiY9PpeCYPwhN228u3XmabpF/Hiq= PCUUW66Kpjz8VdaeJ+viXtHTt+6XX4//AEKf7dLTXlw4No7OotVTcpz7uuv1Fy1ciKJbx41ek73= 2Xbu1Wqb+nariczRVxPEVR2xPoqpn+aYeC9COl720ncm6tJ2xe0SL+Feox8urUKbkxV1a7kUzR1= Psq7/qeudAGNkYnRHodvJoqorqouXaaZ/0a7tdVM/fExP3ut9C1dFzpV6SKqOOPHqI++K70T/S8= NqqbVF63T7xH+Xprp9dVuqe/wD8eI9MFjX73SZnY+s04l/V7k2aaqcCmubdUzbp6sUxV288cfe7= BonQPvjUcSnIvzpunTV3Wsm9V1+PTMUU1RH8/L0fRNLx874UOu5d+iK5wMK3dtRPmrm3bpif5pq= fJ8InpF3HtjXMLRNAyacPrY0ZF69FumqqrmqqIpjrRMRHyZ83n/n+nTrtRXy9PYxE4h4p01qn1X= bucZdSn4PG8PWuh/m3f+mw6GdG3noe/twaNt6/ok5+Ha8Fk15nhJtVRFcfsdWOe/08PSfg37p17= dOjatf13UK825YyKKLc1UU09WJp54+TEPzeiT9/e/Ptq/vIcLur1E03bV6Yn0x+H5w60WLUTRXb= zGXQt3bN3fvbpfztH1HK0W3q9vBoyLldqblNiaIiiIiOYmrn5Uebh7zuHbObqPRZc2pZvY9OZVp= 1vFi5XM+D61NNMTPMRzx2eh4T066/rG3OmnUM/RM65hZNWHZtTXRETM0zTTMx2x6Yj+Z7VurV9S= xOhS5rePmXLeoxpVq9F+IiauvNNMzV6O+ZcdVzposTGMe2Pq3Y9EVXInv8tcd49GGubW1nRtLz8= 3Trt7V73gbFVmuuaaautTTzVzTHZzVHdy7THweN4T/+LaH+bd/6bote4t57x3BpVq5n5Oo6nZvx= 4hHVp5ormYnmOIjz0xPb2dj3HE2f0212KK8jf+HYuT30RHW6v1c+DfT1Wo1Onppiq5TE/P7w8di= 1ZuzMxRMw803J0Gb20fTq8614hqdNuOa7eJdqm5EeeYiqmOfsjmfqfvfBE/ys1r+Bp/tw9v6PdO= 3XpmlXsXdusY2rZHhetZvWqJpmKOI+TV2R5+f53mvQvYtY3TnvqxZoii3TVc4pjujm7y8FXELmo= 0923cmJx8x9XqjS0WrtFdPtl5v8Jj97Wd/D2P7EPNHpfwmP3s538PY/sQ80foeG/wDi2/o+Vq/t= qvqJV5lSrzPc86EhIIAKAJJAAQsJLmwrPhLvWq/Zp73DxM1RER2y/Ux7cWrUU+fzkzhmqcOSUWU= c3IAAYz3smM94sADSgACSqSAAAAyACoAKrGSe4knuRWKopCQMap4VjPektQhMAy2ncvIiC8dqSp= KiAAAIMZ7xZ70FiQAUcVc81M654jhxyzKgDOCEk4UGssWVuOO1IjmeHJDVMM1SANJCTCLKA+gB1= cQAaJRZQAAIGy/wbtgxo+lRunVLURqGbb/7tTVzzasz5+PTV3/Zx6Za36bk04efYy6sazkxariv= wN6Jmivjt4q4mJmPveqf9oHedNMU0adoNMRHZxj3ez/9x8rilrU36OXZj2nu92juWrVXruNit36= 7iba25m61mz/gsW1NXHnrq7qaY+uZ4j72ts9Pe+pqmYp0uI57I8WmeP8A1PwukDpQ3JvXTLOm6p= Rg2Ma1d8L1cW3XR16oiYjrc1TzEcy6O8/D+D00UTOopiZddVxCqur/AGpxDv8Au3pc3ZubQcjRd= SjA8VyOr1/B2Jpq7KoqjiefTEPYPgm/u7z/APatz+6stYHfOjzpS1/ZGi3dK0rD02/Zu5FWRVVk= W65q600008fJqiOOKY8ztr+HxVp+Xp6Yj3y56XVYveu7Pw251XTsHVcC7gali2srFu8eEtXaYqp= q4nmOY+2Idfjo62LHExtTSPvxqXhX/aF3l6r0L8m7/wBRJ+ELvH1ZoX5N3/qPiUcJ11PtT7fq+l= Vr9NV3/wCmxmj7f0LR5qnStIwcGqqOKqrFimiZj0TMQ+nU8/D0zAu5ufk2sbGs09a5cu1RFNMfa= 1e1Hp731lWposRpWFP+lYxpmr/11VR/Q6JubdW4ty3Yua5q+Vm9Xtporq4opn6qY4iP5nW3wLUX= Ks3Zx/dividqmP5Idn6cN/fHbcNNOF16dJweaMaKo4m5M/tXJ+3iOI80fXMujaR/jXD/ANfR/ah= 889yUzNNUTTMxMTzEv01rT02bXKo7PjV3ZuXPXU3t3TomHuPQMrRc+q5GLlURTcm1VxVxExPZPb= 6Hn2J0DbEsZNu7XGpZFNE8zbuZPyavqniIn+lrHGu63651H2mv9Sdd1uY4nWNQ4/ia/wBXw7fBt= TaiaaLuIn6vpVcQs1zmqjLb/pF3pomw9uVVVXLEZFNnweFhUTHWrmI4piI81MdnM+aPuh5f8EnI= u5Oqbqyci5VcvXfF67ldU9tVUzdmZn75eBXbly7XNy7cruVz31VTzLlw87NwpqnDzMjH6/HW8Fd= mjnju547/ADvRRwaKNPVbir+ar5c6tfM3YrmPaPh7vqu7MXaPwmdTzNQueDwcqzaxr9fHMURVbt= zFX3TTHP1TLvnST0caH0kU4eqWtUnHyLdrqWsnH6t23ctzPMcxz2988TE+fztWtAxLu491abp2X= mXfCZ+Vax6r9czXVT1qop57Z7eOe76nvWJ0A3sSmacTfWfj0z5reP1f6rjx6yxb0tVExc9NcR+D= vp7tV6mqPRmmZd66Jdg29g6fm4lvU69Q8bu03Jqqs+D6vEcccczy6Z0Sfv6359tX95DuWz9Dwuj= XbOdd1jct/Ntzcm9cycuvq9WIp4iimJmfRPd2zMtUtzbiydR3dq2t6ffycOM7KuXaYouTTV1Jqm= aYnifRw4aPT16uq7HqzmO/6uuou02Io9u3w7d8Jqf/ABZzf4ez/Yh77oWPg726GcLTreX1LWbpd= vHruW+KptVxTETHHpiqO76mnWVkZGVem9k37t+5PfXcrmqr+eXLhZ2dhRPieZkY/Pf4K7VTz/NL= 69/hdVyxboirFVLwWtbFFyqqY9qntej7PwuiXpT21k6rrlrLx87w9vw04/gqbNXU6tMz8qrvmqI= 57OHq/SVtHWt114VzRt45uhU2KaorpsRM03eeOJnq1U9scT6e/wA3n09zc7NzerOZmZGTNHPV8L= cmvjn0cy5cfV9Wx7cWrGp5tq3T3U0ZFVMR90S5XuF3rlVNya/5o/JujW26ImmKfafzbj9Ge1tX2= thZljV9z5OvV37kV27l+Kom3ERxxHWqqdB6If39b8/+qv8AvYa8TruueudR9qr/AFcFnUdQsZFz= Is5+VbvXf/MuUXqoqq+2YnmWKODXMV+quM1R+DVXEKc04p7PQvhMfvazv4ex/Yh5o5MnJyMq9N7= Kv3b92Y4mu5XNVU/fLjfa0tmbFmm3M5w+deucy5NX4iVeZUq8z0OaEhIIAKAJJADK1RNy5FEech= X0YFrmrwtUdkdz7UopimmKYjiIZMTOXGZzKSiyiIAAMZ72TGe8WABpQABJVJAAAAZABUASVVCQk= VioiJCVSxWe1GZagFRFyEKiqEgggvCSNZABMJPeiygAJVJKsKu2eUZJLm2nCKAgcLTHM/UBTHHa= yU4dGEAFhJRZQR9ADo5AA0SiygAAQJKpJCygCoAEkJPeE94EiKAk9yLPcgAAQJPcqSKytV127lN= y3XVRXTMTTVTPExMeeJfb/LOr+tc72iv9XwwMzRTV3giqY7ObMzMvLmmcrKv3+r3eFuTVx/O+dZ= RYpiOyzMz3SVjuSVjuaZAEEkJFgkAUEq8ypV5gQkJBABQBJIR+hhWupb69UfKq/oh8uJa8Ld7f2= Y7ZfpMzLFU/CgMsJKLKAAAMZ72TGe8WABpQABJVJAAAAZABUEmFFViSSSCMap8ysZ70lYQBGl8y= LPciILxKMlViMphEVAAJRU4RYE4UBjPYwZ1T5mPDMtQgJwirwxXkMCM6Y4hKI5llMLTBKcqxOWm= MrKEgpKcKCOYc3imX82ufhk8Uy/m9z8Ms9Ra3R5OTc2y4RzeKZXze5+E8Uyvm9z8J1FrdHlrk3N= suGUc84mV82ufhTxPK+bXPwnUWt0eU5NzbLhHN4nlfNrn4TxPK+bXPwnUWt0eVizc2y4Ulz+J5X= za5+FJw8v5td/CRqLW6PK8m5tlwDn8Ty/m1z8MniWX82u/hleotbo8pybm1wDn8Ty/m138MnieX= 83u/hlOotbo8kWbm2Xzz3jmnCy/m138MnieX82u/hleotbo8nJubZcI5vE8v5td/DJ4nl/Nrv4Z= Ootbo8nJubXBPcjnnDy/m138MniWX82u/gk6i1ujycm5tlwDn8Syvm138EniWX82u/gk6i1ujyR= ZubXAkvo8Syvm138EpOFl/Nrv4JOotbo8rybm1wwOfxLK+bXfwSeJZXza7+CTqLW6PKcm5tl88o= +icLL+bXfwSeJZfza7+CTqLW6PK8m5tfNKx3ObxLL+a3fwSsYWX82u/gleptbo8pybm1wD6PEsv= 5td/BKeJZfza7+GU6m1ujycm5tl88jnnCzPm178EniWZ81vfglY1NrdHlZs3NsuAc/iWX82vfhk= 8Sy/m178Er1FndHlOTc2y4EnzPo8Sy/m178Ek4OZ82vfgk6izujycm5tl8w+jxHM+bXvwSTg5nz= a9+CTqLW6PJybm2XzD6PEcz5re/BKeI5nzW9+CTqLO6PK8m5tl869szxEczL9vTNobq1PG8Z07b= uqZdjrTT4S1jV1U8x3xzEP0sLo+3rFc117U1mOO7nDr/RidXYj+uPJybmP+Mvxce1Fq3FPn88uV= 2H4i70+iuseyV/ovxE3p9FtY9kr/AEY6uxvjy5ci7tl10di+Iu9PotrHslf6HxE3p9FtY9kr/RO= rsb48nIu7ZdclHY52JvT6Lax7JX+ifETen0V1j2Sv9Dq7G+PJyLu2XXR2L4ib0+iuseyV/ofETe= n0V1j2Sv8AQ6uxvjyci5tl11j53ZfiJvT6K6z7JX+jH4h71+ius+yV/odXY3x5WLFzbLrg7H8RN= 6/RXWfZK/0PiJvX6K6z7JX+jXV2N8eV5FzbLrg7H8RN6/RXWfZK/wBD4ib1+ius+yV/onV2N8eT= kXNsuuI7J8RN6/RXWfZK/wBE+Ie9forrPslf6L1djfHk5FzbLrg7H8Q96/RXWfY6/wBD4h71+iu= s+x1/onV2N8eTkXNsuuJy7J8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHk5FzbLrg7H8Q96/RXWfY= 6/0PiHvX6K6z7HX+h1djfHlORc2y64Ox/EPev0V1n2Ov8AQ+Ie9forrPslf6L1djfHk5FzbLrQ7= J8Q96/RXWfY6/0Sdh71+ius+yV/onV2N8eWuRc2y61PenDsnxD3r9FdY9kr/Q+Ie9forrHslf6H= V2N8eTkXNsutTHZ2I7N8Qt6fRXWPZK/0Sdh71+iuseyV/odVY3x5Xk3Nsut98I7J8Q96/RXWfZK= /0T4hb1+ius+yV/odVY3x5OTc2y64yh2H4hb1+ius+yV/ofEPev0V1j2Sv9DqrG+PJybm2XXkl2= P4ib0+iuseyV/oTsTen0V1j2Sv9DqrG+PJybm2XWx2P4h70+ius+yV/ofEPekf/lbWPZK/0Oqs7= 48rybm2XXB2L4ib0+i2seyV/ofETen0V1j2Sv8AROqs748rFq5tl1ye9JniHZJ2JvT6K6x7JX+j= jq2PvLnj4r6v7JX+h1VndHleTc2y66OwfEfeP0Y1f2Sv9D4j7x+jGr+yV/ox1FrdHleTc2y6+xd= i+JG8foxq/slf6J8R94/RjV/ZK/0Ootbo8nKubXXk4dh+JG8foxq/slf6M6NibzqjrRtbV5j+Er= /Q6i1ujycq5tl1+I4jgl2P4ib0+i2seyV/ok7E3p9FtY9kr/RrqbO6PJyrm2XW+xOHZPiJvX6K6= x7JX+h8RN6fRXWPZK/0XqbO6PKcm5tl1yCYdj+Im9PorrHslf6HxE3p9FtY9kr/AEOps7o8nJub= ZdbHY6tib0+iuseyV/onxF3p9FdY9kr/AEOps7o8pybm2X6PAD8C/WgAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAD79v6Vla5rWLpOHTzfybkUUzPdTHnqn6ojmZ+x8D3n4P20/ENKr3Hm25jJ= zKerjxPfTa/wBL7ap/oiPSg9G25pGJoeiYulYVHVs49EUx6ap89U/XM8z979EiOBAAAAAAAAAAA= AAAAAAAAAAAAAAcVc8yzrniOzvcYJwjIBiLwgJMCgIkxyvADHjhO9mkwDHhGRwDDgZcJPcDivVd= SjmO/wAz4/O5r1XXrmfNHZDjmBWExDGaWcwA4+IThyTDGY4US3RNdcUx53300xTEUxHEQ48S31a= etMdsudFYpLLhBEJXhBMJwjJOBUlOIZSgNRAGkAAAAAADl+1tbFx9Qp1PT68eLmVcw6rmHVH7VN= y3MVzEfbRFcfbw7PG29OqysKIxaJtaPdm1rU01TPhOra8NVM+jmabtv/dp88g8+OXctH0zS8/B0= 3WrmNTRj4l3I/lK1RMxE00R4W3H1daJ8H/ux5zWNP0rS8bUNWoxaLuPlZdidNtXJnjwVVMXq/t4= iaKJ+2QdNHoVe2NPs39QsXMejjVbtVGi1TVPyafBeGpmPTz17VH31eh1nc2HaxKMLDx8Oqi9i4V= urOucT23bny+30cRVRT9sA/Dct+xXZtWrlVdqqLtPWpii7TVMRzMcVRE80z2d08T53bNcr0jQ8q= NCo23j5seL26qsu7cuReu1V24q69E01dWKYmeyOrPZHa59O0HTM7L2xau0UWreRpt7JyO2qJvVW= 670xE9WJntiimPkxzx3RyDo47nuCjbuVoGVkY06RayseqjwP8m2sziqJniabk3aer3czE8xPZL9= CbG36922tq29vYtFrJot0VZc3Lk3qLldqKutT8rqxETPdxPPH1oPPHLTYrnFqyYrtdSmuKJpm5T= FfMxM9lPPMx2d/HDsmLGnaNtfT9Tu6NjapkZ927FVWVNfg7NNuYp6sRRVHyp55mZn0cQ4rmLh5e= 2NSzsbTYxrs6pYt2bfXmubdFVFyepEz2zHMR39vZCjrZ//ALveh5ek6VXpuqadXjaFZzcDDru8Y= d3IuZFuu3x1uvXMTant5iY5757H5moXNK0W7i6RG2cbUPCY1m5cyrly5F6/NyiKubU01RTTETV1= Y7J/Z7fOg/A1XSbun6jn4dV6xXOFX1a6puRTNfbx8mmZ5n7I5fnO77ixMa/rO9712x1rmNMVWZr= j5VEzfopn7+JmHz6jc0rRqsTSPi1j5/hcazcuZNdy7F69NyiKubUxPFMRNXEfJnu7QdVosV141z= Iiq1FFuaYmJuUxVPPPdTM8zHZ2zEdjG7buWa+pdt126+Inq1RxPExzH88TEu5a1p+nadc3Jes6f= aqjT9VsUWbV6KpiKObnNE8TzxPViJ7eezvfRr1yjWt5YuJRomk26LOLZyL1XhLlqmq3GNRXPhKp= qniimO7jieI75lR0S1T4S7TbieOtVFPP2vs3Bptej65naXcu03q8W/VamumniKppnjnh2jcmHpd= zRcPVcG3pVF2jUIxq503w8WqomnrcT4aP2o476eztfl9I1q7O+NfvRbrm1TqF2ma+rPViZqniOf= T2T/Mg66cw7xqEaNo+uWNufFrHz7dUWabmTcruRfvTcppnrUTTVFMR8rsjie6OUu4Gk7ewtduXt= Ox9WvYOrxh49V+qqKOrxc5mqKZjn9mOznv+xR0gdy1W5pOheJafO3MTUJycW1k3ci7cuxXXN2mK= uLXVqiKYp56sTxPbHa/I3zh42n7sz8PDsVY9i1XEUW6u+mOrE8T9YPxAAAAAAAIiapiKYmap7oj= zg7P0Z7Xubq3RZwqomMO1/hcqvjuoif2ftqns/p8zaaxat2LVFq1RTRbopimimmOIpiO6Ih1Dom= 2rG19sW7d+iIz8ri7lT54njso/3Y/pmXcmQAAAAAAAAAAAAAAAAAAAAAAAAJEq5nsBhM8zyizCA= nHApwCBMAJMIyAYizCAgpwCJwoDFxX6urTxHfLmmYiOZfLXM1VTIsOLhJhnwgrCYSYZzCcA42Vq= jr1xHm86zD6LNHVo+ue2RJZ+bgAQAFSYRkTAMeEZIIgvCA1CAaAAAAAAH06ZnZemahY1DBvTZyb= FcV264iJ4n7J7J+9z2Na1Wzb1C3azblNOpRxlxxE+Fjnrdv3893pmPPL88B9mJqediadmafj5E2= 8bNiiMi31Ynr9Weae3jmOJ57jN1PPzcHCwsrIm5j4VNVGPRMRHUiqeZjsjme30vjAfoX9b1a9Vp= 1VzNuVTptNNOHzEf4KInrRx6e30+iI7ohlk65q2RVqU3s2uqNTqivMjiIi7MVdaOeI7OJ9HH8z8= 0B+zjbp3Bj4EYVnUq6bVNE26Jmimblumf82muY61Mds9kTD469W1KqcGrxuumrAo6mLVRxTVajr= TV2THE99Uzz39r4gH6usbh1nVrMWc7M69qKuvNFFui3FVX+lVFMR1qvrnmXDTrGpU6zb1inJ4zr= c0zRd6lPZNMRTT2ccd0R5nwAP09H1/V9Js12MHL6lmuetVauW6blHW7ut1a4mIn64jlx5WsanlW= si1k5ly9Tk36ci9NfE1V3KYmIq63fHEVT2cvgAfuZO7dw5Niuxe1GaqLlubd3i1RE3aZiYnrzFP= Nc8T31czHmYYO6NfwsGjDxtRqptW4mLczbpqrtR6KK5iaqP92YfjAPvv6zqd+5n3LuT1q9Q48am= aKf8ACcVRVHm7O2Ins4dq0TOro0nEt0b6x8TGooiK7d7EqnJx/wDSptVRRVMR38cVU/ZHa6MA/Y= 1/XcjUNQ1auxVVbxNQy/GJtVUxM9k1dTme/mIqnuSNya3FWDXTm9W5gUdTHri3RFVNPHV6s1cc1= Rx2cVcxx2PyAH6up7h1jUrUWszLiu1Tcpu026bVFFFFVPPE000xER+1PZHf5+XHn65q2dby7eVm= VXKMzJjKv09WmIruxEx1uIjs757uIfnAP2sPde4cTDpxMfUq6bdFPUt1TbpquW6fRRXMdamPqiY= fmxnZcadc0+Lv/drl2m9XRxHbXETETz391U9j5wHd9v51y3o+Nas73xcKxRH+Es5OJVVex557fA= zFFX2xxVT2+h1zdmpWtY3JnalYpuU2b92arcXP2urxERz9fEdr8sAAAAAAAel9A2051fXp1vMtz= 4np9UTb5jsuXu+I/wB3v+3h5/o+n5WrapjabhW5uZGRciiiIj0+efqjvmfREtr9paJjbd0HE0nE= j5Fijiqvjia6v86qftlJH60RxACAAAAAAAAAAAAAAAAAAAAAAAABLGFn0AITCgjCYRmkwKxOFns= QEFJgESYUBOEZJwCJwqVTERMyDhvzPHVj73C5J5meZ70mIkWGEpMMpiUFY8Jwz4SY8wFmjrV8z3= Q+hLdPVpiPP52QyicLMAMRknAIAAnCgqIyOAa3+TPfHqK5+db948me+PUVz8637zaAXKNX/Jnvj= 1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/ACZ749RXPzrfvHkz= 3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQ= Bkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav8Akz3x6i= ufnW/ePJnvj1Fc/Ot+82gDI1f8me+PUVz8637x5M98eorn51v3m0AZGr/kz3x6iufnW/ePJnvj1= Fc/Ot+82gDI1f8AJnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAy= NX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/O= t+8eTPfHqK5+db95tAGRq/wCTPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iu= fnW/ebQBkav+TPfHqK5+db948me9/UVz8637zaAMjyroT2Hl6FdydY1zGiznTzax7c1RVNFP8An= VdnZzPd9kT6XqpxHogQAAAAAAAAAAAAAAAAAAAAAAAAAAEmFBEADIAGE4SYZAZYIzmEmBWKcMkB= BU4AcN6fldWO5yV1cRy4e8GKTDLhBWKTHLNOAYcSzs08zz6CI5nhzU08RxAJwKCMTheAGIpwDHh= JZAMRZhAAAfoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAgpwJ7oEwAAAnDGYZgMEZTDC52QK4655q+qGEwzlAYDKYSYBjMehGREczwC2qe3nj7HIc= cAInDIBiLwnAJwjIBicLwgIKkwCcHCgPuAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOAEwkwKSCAgo4qp608s657OHHwJhJSWRwKx4RlwnAMeGV= uniOfSRHayAOABBU4AABJhGQDEXhASUZJMAnBwqA+0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJ445VjX2iYYTzyjJOBWPBwoDEmF4POBT= CgCcIyAYi8IAnCgIKnACKAnCMkQQ4ZU0zVVEQ5vB0ehRmAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABMseFnvBGMwkwzSYDLBJhnMJwKxWIA= E4FAQJAE4UBOEZJwCC8IBwigIkspgopmqrjzA5LNPEcz3y5OfqAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJVJAAAAEwJMKAxmE4ZpwKwFm= AEOABOOBTgEAASYUBiMkmARzW6eI+1x245q+qHNAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgnHCn3ggqcCgAAAgnCgMOEZpMCsRZhAC= YAEFSYABlbjmeQZ0xxCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAJg4SVAQAXIAGAATCJMMgMsOEZ8JMCsRZQDjlyUxxHEJRHnZA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAACJMCgIHCCqAAAInCcdrIgFAFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAO04ARBUDIAKR2qQAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAHHaAmAAUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAmU5fkbu3Hpe19LjU9YvV2cTwlNublNE19WZ7uYjt4YbZ3PoW5sa5f0LU7ObTa4i5FHM= VUc88cxMRMd09/oa5dfp9WPZiblMVenPu/a5OWq1vpe3roOu5+PGfb1DGt5VyKbWXR1uIiueyKo= 4q7vrbI7M1ivX9radrNePGPVmY9N2bcVdaKZnzc+d6dVobumiKqu0vNptbb1EzTT3h+z5uSJ5dO= 6Yd31bI2Hm63Zooryommzi0V/szdqniOfTERzPHn4eDbL0bpw6QdMr3HibvvYWLeuTFqq/m3LNN= 3iZiZoot0zEUxMTHdH1PI9jarkeG5WD0j7J6MLtOq9IGlYesXdXpqt6hm3671qLE2uPBc3LVUxV= NVMzx1fv8z07B3Fp+kbJ0nVNzbg06nwuHZm7m1XIotZFybcTNVHMRzFU8zEREdnmgHZB1XTekXY= +pVZFOBuXAyJxsevJvRRXM9S1RHNVc9ndEPmp6VejqqqKY3fpfMzx23Jj/kDuY+LK1fS8XSf5Wy= dRxLWn+Di541Xdpi11Z7qutzxxPMPwNN6SNi6nqFjTsDc+n5GXfri3atUVzM11T3RHYDtg8p6LN= 1alas7l1DeG/ND1jBwq7c0V4nERiUzVXExc4tUds/Jj/O7pdlsdKXR5evUWqN36V1q54jrXurH8= 89kA7iJTVTXTFVMxVTMcxMd0qAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADy/wCE5+7G5/F2v+bqXwR+7c3/AA3/ALrtvwnP3Y3= P4u1/XLqXwRv2dzf8L/7r7Vr7sq+v+HxLv3jT9Hie5P8AKHUv4u7/AG5be9EP7sdv/wADR/U1C3= J/lFqX8Xd/ty296If3Zbf/AIGj+p6uNfYW/wB/Dz8H+3ufv5dD+GBjX7/Rfi3bVM1UY+qWrl3jz= UzbuUxP4qoj73Yvg46jg53RFotvEv267mLbqs37dNUTVbriursqjzc9/wBku5bm0TT9x6Fl6Lqt= iL2Hl25ouU88THniYnzTE8TE+mHgWb8GOvxu7Vp28PB48zzRTew5muI9EzFcRP28R9kPzb9G7V8= MCf8Awtxv9q2v7u68d6UMvJzNf2Fpl/TsnVMTH29p82sC1VVE5M1URNUR1YmeZ4insjn5L1ijoL= yqejC9s6rc1mq7c1enUIyZxZ4iItdTqdXrffzz9z9je3Q1i7k0Lb1q1rN7Tta0TBs4lrOtW+Yrp= txHHNPWiY7YmYmKuznzivP9sY2NOi7xrp6KMzaVdvbGfNObeuZExXPUiPB/4SIjmYmZ9PyX42wd= ibY1b4PmvbozdPmvV8SMmbORF2uJp6lFM09kTxPb9T1HQeineGLa1bH1jpFzNWxtQ0vJwabN6m5= VTRVdo6sXOJrmJ47X6u0+jK/oXRJquxatYt37mfF+IyosTTFHhKYj9nrdvHHpEa769m5eR0NbD0= i7l3KMK/qGb4Tmrsjq3KIp/m8JXx9rZTbnQ/sHRM7C1LT9GqpzMOqm5avVZFyqrrR3VTHW45+51= 6joP0/J6LsTZ+p6rNzKwsi7kY2fZs9WaJrntiaJmeae7mOY7o7YfPszoh3hoGv6Zm3ekjPzMDCv= UVThzF2mi5RT/mcTcmIjj6uAeadE2p6JpG0OkrL3Fg1ahp/hseivFprmnw1U3LvVp5ieYjrcdvo= j7nXN3VafnbOu52n9EWZodiuKLlrVqb+RctUUzVEd9VPVmKu7v75h7hoHQZbxNu7o0XUtc8Yt65= ctXbdyzj9SrHrt1VVUzxNU9btqj0d0+l+Fe6BN23dH/kW50l5NemRTFEYlVi5NrqxMTEdXwnHET= EcfYD0noAy8jN6H9u5GVdqu3IxqrfWq7+rRcqopj7qaYj7ne3XOjPbde0Nkadty5l05dWFTXTN6= mjqRX1q6qu7meP2uHYwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAeX/Cc/djc/i7X9cupfBH/AGdzf8L/AO67b8Jz92Nz+Ltf1y= 6l8Ef9nc3/AA3/ALr7Vr7sq+v+HxL33lT9Hie5P8otS/i7v9uW3vRD+7Hb/wDA0f1NQtyf5Q6l/= F3f7ctvOiGf/DHb38DR/U9XGvsLf7+Hn4P9vc/fy7NnV1W8DIuUTxVTaqmJ9ExDVLYm6OnPe3js= 7d12rIjCqoi914x7fV6/W6v7VMc/sy2r1P8AxZlf6mv+zLX34Fn/AJW7P9Zi/wBV5+bfo4fNsTp= R37t3pKs7Q6RqvC05N2ixVNy3RFdmqv8AYrpqojiqiZmOe/7uJeoba1nduT0raxpeoZej16FZor= nFtWL9qrJpmJp469EVdaI7Z74jzPFfhN128zp10jGwZivJoxsWzXFM9sXJvVzEfbxVT/PD7sXUc= nSOnLpL1PDq6uTi6TmXbVXHPFcRb4nj6pBsVnbk2/p+TVjZ+u6Xi3qe+3ey6KKo+2Jnl1rpG3Rm= fE69n7G1nQr+ZayLdFV29mWvA0xPPMTVNUUxPojl4r0KdFW3977JzN0biy9QyM25lXojwd+Kf2Y= ieapmJmapmZnnn0OmaHER8H/c9Md0a3iR/wCmoHs/TdvzXdv9F+3snA17Dxdx5FePVmU4tdq51q= arNc11Ux2xNE1xHFUdnd2vS9qbq0jM2liajka7p1ybWJYqzbvjNHFquumP25ieKZmrmO3jta9dN= +29Lt9C+yN1027n8qXMPAwaq+vPV8F4tXXx1e7nmO93bL2z0d7G6FcnM1TEzq8PW8bCqy7Nq/M3= L92ni5RTRM9lPbNUz9UT9gPXMfde2Mm/RYxtxaReu1zxTRRmW6qqp9ERE9rzLpX3duLSOmnZ+ha= bqdzH03Pmz4zYiimYuda9NM8zMcx2dnZLwLeU7Mu7fjJ27s3cek3+vTVby8nIm5Zqp9Hd5+Y4mJ= 9DvWtZuVqO/uh/Nzb1V/Iu4GFNy5VPNVc+GmOZnzzPpBtTAQAAAAAAAD8PfG4MbbW28rVL/wAqq= inq2aP9O5P7Mf8AOfqiXgHlU33zP/xqI+rxWz7gNmxrJ5VN9+u49ks+4eVTffruPZLPuLgbNjWT= yqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8q= m+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZs= ayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPu= HlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hg= bNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7J= Z9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWf= cMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffru= PZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2= Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb7= 9dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/X= ceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeV= TffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3= 367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjW= Tyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNgIAAAAPL/hOfuxuf= xdr+uXSfgp52FiVbioyszHsVXZxvBxduxTNXHheeOe/vh7zq+mafq2L4pqeFj5mP1oqm3eoiqnm= O6eJfkVbE2ZMdu19In/AISj9Hvt6ymnTTYmO85y+dd0lVWpi9E9vhrruLok31d1LNzsTSrWXYu3= 7lymbWVb5mmapmOyZh6F0e9It3auiYW3t57c1TR7WHbps282rHrm3VEeers7Pu5ek2NlbYxuZw9= IsYcz3zi1VWZ/nomJc8bdtW4mnG1LU7duqOKrdzInIoqj0cXet2fZw6XuIc+iKLsZiP0Ys6CbNc= 125xMvtsZeJrGj13tOy7GTZv2qot3bdcVUzzHHfDWvTPg/9JGmzd/k3dmmYXhJia/F8zIt9bjnj= nq0RzxzP873jE2dj6ZkXM3Rb9Om5NUzM02LfVsXezs8Ja56sz/81PVn63Z8abk2om7TTTc4+VFM= 8xz9T51WM+z6VE1Y93h3RZ0E39A3RZ3LurWLWpZuPc8LZs2Yqqo8J5q6q6+2qY74jiO2Inme5+3= onRdnWeljc259Uv4ORpGtY17H8Woqr8L1bnU5ir5MRHZTPdPnetJMcstNVq9nZ+1bmda2X0y6Bj= aZc5uV2bupRbrniJ7Jpp60TPHZzHHPofN0PbM1Pe/Q9uLR9Ov41i7d1excpu5E1RRPUo5qj5MTP= Pyo8z2SvoG6Na7lVyrRsiaqp5n/AL7e7/xO97b0DSNt6Ta0nRMG1hYdrnq26OZ5nzzMz2zP1zMy= K6HvXozydzdD2jbNuZ9jH1DS7ONNF6Imq1VdtWptzE9kT1Ziqrt457ux1ux0R7y1Xo+z9r7t3Vj= ZUW6sevSK7XWuU4824rpmmrmmmZiYqpjvmY4+rt7rujU83P3nZ0rCuX7GNptrwmfNNVdEVTdpmL= cxNMTz1erNXFUxEzMejs65rd/eutZ1i9GHrODHgZt0049FVvwXhOrz1p5+XVT16O2eI5t3PNPLt= RYmr5eeq/jtDquq9EfTBqm3adu5+9tIyNLt00UU49ddziIo46kcxa57OI879+50Sa/Xruws/wAf= 0zwe3MbHs5Udevm5Nu5NUzR8ntjifPw7Bcyt5YOhYFjBwL1zxm1NNyK4u1XLHWimmOZqmaoqpmv= v7qot1TERzD6NG1HdOu61gWNS0vK0/CouU5VdUW6rfbFuKvBVVTPyoiq5THPEczbq7OJ7HJnGcr= zo7YeiUqlKuLsAAAAJVPCuidM27I25tmbGLd6uo5vNux1Z4qt0/wCdX90dkfXMegHlXTduyNwbk= nT8S51sDT5mimY7q7ndVV/RxH2c+d5+faKACgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAADdABkAAAADgAODgAOCIiO4AAAAAfLXp2Bczac65hY9WVTT= FNN6bUTXERPPEVd/D6erT6FBMJ1Y9BFMQoKAAAAATPAOLMyLGLi3cnIuU27Vqia66qp7KaYjmZa= qdIG5L26dzZGp1zVFjnqY1uf8AMtx3R9s98/XL0/4Qe6/A41G18K5/hL0RczJj/No76aPv75+qI= 9LxBYABQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AABugAyAAAAAAAAAAAAAAAAAAAAAADG5+yANXemD94+sf62n+xS6mCgAoAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//9k=3D" width=3D"793" = height=3D"1121" alt=3D"" style=3D"margin-left:-1pt; position:absolute" /></= span><img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBA= QEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEB= AQEBAQEBAQEBAQEBAQEBAQH/wAARCAAbAE0DASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAA= ABwUGCAkKAgT/xAApEAABBAMAAQQCAgIDAAAAAAAFAwQGBwECCAkREhMUABUKFiEiGCUy/8QAFw= EAAwEAAAAAAAAAAAAAAAAAAAECA//EACkRAQACAAYBAwMFAQAAAAAAAAECEQASITFBUQNxkfATI= mEygaHB8dH/2gAMAwEAAhEDEQA/ALAbx6gFUHCruua3rKsFMMDvK/BjZu2mcwdmDZDW+LBBRGGR= YS3M6bOyDrRuPBR8MxTTQatUEUk9Go5nvujzW3N/m+6DizK0o6FqbmeLnGqRiK1tedm26ftJ0Hd= J4cMNZg3jZduPhxR033S3cDFMvXg7ffZF4gi4TUQ1DjUFHp95X/HtX1jtGj+vMdg+QCyRAYpjTc= PIbgrE/dUprRB6grn4FnkcMMk5QE13122/asENE9d9lM6ZcD3yLdzI0R2hNAl83CT7Urt/ZDeV8= go8yOCkS5trYN0fXsL2s8JJW8FS+6+iVIF5XN443LyCQNp+mOeGmjF21EKI75QhG5S1Va1V6/c2= 9TGEPGOaaqynLmVVZ0n5DeivTHcTv/oqsb6R5H7biswo6/zAR/JqzMArSmcgqO9I6I2/7l9WUpW= Ktt1ioVPbRcvGSCSRhmh7190fj11yoSWJnproe4bApHmWTvI8ypSLBZX0HfVjy+ekINWmZQyfFY= rBQQNjJWDmY2KcCMFpAuLw/Yj4+Eci3pV3osWHN1mF5GZrA7Y8aNMXvGulpv1VN6i8idFo863tP= apzVUrLE5OeZx2YQmOqpxeHpS6OrRAhJ3hMoNE5HkHUc0YPfsPY5ndB78/T6q4QO8jXAnQBpKuM= d1OJVcHPFklXbIKIs0zJaNhVYyylxUkKbIimtiRArWwwuCjT9ym5PBZfs5EJqrNXSP4EIxnu/cL= lWyzLw+51V+k/SieWm0lBlWaVWINFrrduv8XgftJJ1jV1HVv1jM7KK3NyzOZElFJjJGidg1PbVE= E3koViI0xY0FdziRMlYo8K/RWXfJP2bwWFLhzLhtuye/Lp4Zl0nI5b0Xjk+sOi67qGaBq2dW9Zl= n37c8hDRWBwJogs9xkPH1pgJfTGSKjGrs45HNXrVsGjzfcyTX0bKoZ3APKsIiPEfgmeePSS5Jp9= w972bcZUnz2SeiSk4rlmYsJhVyNlyEKIcO14pXounKlhk+SOG9m6T82a2RGLrOHCLNKQEAhXKzq= y+v8AmbsOrqIlqnW4qt57yjL+icaAa4K27X1QDKoJVgpZSOiJuEyfdyAFycQmDKMCxYWXL6CcPX= bdZv8AhljnC6qN5RDkD8/7d4bCB5IRuhtY5mmq4sdSzfbCGPuO44dSy/W4XqSOdh8fxmfK17c9h= 1i9sWBz2jHO0n/q7SdyOJuZiabG63cOXIo8qTaKtSDWEGB0ty2WH7OstyXOLWuKVTKa11T1hsYK= Ip6t07h6S6LuGxZ3pU9BVw51eKBnBFgOkCL+Uy6TpCyboJH2jlsjoOYOHzt1jZRk2dxFuvPcPOX= J9wcqZ6Fqo4968aTzmioPHdI5Nv0TYcBqGVR4hUhu3x12JZZy6PxCFi/t2XGSVgJEhI6JtI4D2c= Ind8M2xUBs4PXAHsnjW3Fa70U7RgNGlucZbeshMwqoLJtujGIRq7o2cT8SQFbxM0fzFhRuItXxR= FscWIk09ESe7RYU/piZxXcdO6y+9b/5gfH4zyRjdXGX25nVMtCK8Mni67MeOM9GWI3gkxvSuevY= x2vR1Rrx9XohjBGVzUzdlHxOULKIjLWVgM2O4cS2tNMprOnZVog2zqIbuSLN07+i7R10HeLWVGp= Mn0u1eSo/IwY6wK9fRz9wfJyBJk2PVXHXbvIpwYdPlWrIhugi+2bNlE2m7lRd5hHDh04VVoL6Gm= thjrX6E6Cv2CVXTF59F8AN/HFzHxTVNsxa47Cswkdlw6SnbqmOYcq5YgK6r9qL1RZHjCnwiophd= u9eNyWGg97dz4co+tE490FFnK/2nEbNUkBXc+u2cOFxFKxwestrnbGNs6qqN9t9c5xjOdc49cev= 4yo+SKB+mWxVbb12aGnBi4wgebxxrRjNYqpplRpdxd8YfLn8j7Cddx9D8v29KRnOz6hO4b8kfLP= Ucc0dfs6pt6HdDT4jGy01TWV2bLRQ5ursHkGc4SHJs1vcV1wOwuu31HVX51OrYRChQK+vHVP7qm= 2g9m3Y2/ypOIJKams7OqOmjWTN9Cb5uTiTQtrjV2okRw4bMsLb6Jb7I667Zx8d28w0aZ7f7IMEo= P8AYIleqehCRBxiSy9D7D19bcudOl/hbn0kEsquFVFPjRSTS093tT000xrrgZxSFMYAJ3AweR2d= EAm+m+mREbuO2gw3Gu+ce/2MR81QbJ529c+uyaeu2fXP+fxhW2h13t3eKp3jVNNN6e3Zv+e8XG+= VDyg2VLJXAL769GQytlqaIPpVyF4+4zLh01Oa2a7HOBjG8egzwPfA9vvFxzp6lHGDVPVBsu9dNh= qi7h0R11hBzj5KeufJO9sWn1Kh5OKB4dCmE7NCrXjsvPAiiT2ewyuhDFiPFi5KvkqtI5yFxo6UZ= oIMmmrt2q8SwjjXeAZfmelz5B0XOxUiaKvVdlnhMtN58RIO1tv/AEq5ePJQs4XU29Meu6qm22fT= /Ofwl0/AYzRBY6cqJEvBS0kCpRw29ESmU7KkAyRoVI27RXD0y7T02ZyAAENMXSOiTxgUFMXzNwg= 5bpqajEUUFNn5898GSK5pBKXb1pxtxg82F3r0B4843AZZG6E4fizS/GDyRQzepB7/AAamMIDNxj= F9MCmG6LMkOBDZ3tKaq3YSDdkUTsOs7FD6CsJRvd85enP3ks7b8kGLCqePUFyzPUYtHBUmMwuxG= BR63PjnskGR5XUGLeakUipQQkRWPOWaOmj79KLKOGOrhyho2VhXMaSrifN4k0mYkxJW8Fj5CLRB= MtNJu6wAjxWay6xiQphtvI/fo1fTmeTGUOdd9t91S8iJudt85X9NV2rawiNMF8yKqdJJADuXgF/= +3jE6nQx/h5GTjORgXGrlCSYV1UFnB7Mk1zrtj2uW+mdsba+7XM5IXeUvv56YX0vHd5I2c1rx/w= AMSGsLvK7PHu2RUjlJ8PRGeHcif7fC6wikxHTAGIkYnSSwwgfOLR8WDKDpJHV2RtmzDyQquLSet= UCrNg9wogi4OffK71p5AJHKqKWqrlR8xRhD+Yv4/ZwaSn2EqQHHY6CRj0aiTBnITEvlaz6SsyDY= IEDviqQQaeON0FEwy+uY6WHG2VsRYDCbHISqYxWNkHhIMGNTeZuG7R883Wyo4331P6OHe6WrhdF= lh6s51GtllGo/Vq23yllCqisIZSZ97J6sYk4abJiVQBJ4NlEqW1IB1iA0v9B60fmnjJ0igYDhzL= LK7ZTdgZECy7HduRHM3KLyR00NNTDfHBczEs0Hn5pg6T7ubp3x5x+qLAZ8gcm1mn0FGjhYUQhML= NBjaGI0WQYkYrJ13TMWSYlUGD2OSNQFsptq2ESEGq8SbPt1WrfXr/Fu67nvbvPHWd12GHj8dkX/= ACIARHZhGk3Wo3LIDUkNWar41drKrYXUySVwr/v7c4109uMemfXFvacXZ3SNbjLaMTexB7A44kg= 9nLbGsA0gNNvhYwG+IDU3kmUwOVfCw4tq+0ZfAi8+g2WcpKuEtVfzZ5/FUraF1lyF0YLhAbIRiR= 6Ry/eIYJFiXzO8VjBm+FflLP36yfoiknp8aSmiX+vu9nvzttkyR3ovDIRi5gpqr5r+sf/Z" wid= th=3D"77" height=3D"27" alt=3D"" style=3D"margin-left:441.05pt; position:ab= solute" /><svg font-family=3D"Times New Roman" font-size=3D"16= " height=3D"41.33" version=3D"1.1" width=3D"209.31" xmlns=3D"http://www.w3.= org/2000/svg" style=3D"width:209.31px; height:41.33px; font-family:'Times N= ew Roman'; font-size:16px" xmlns:xlink=3D"http://www.w3.org/1999/xlink"><de= fs /><g><g><path d=3D"M0,0 L209,0 L209,0 L209,41 L209,41 L0,41 Z" fill=3D"#= 7c7c7c" fill-rule=3D"evenodd" /></g></g></svg><a href=3D"http://www.anatomiadigital.org/" style=3D"text-decoration:none"= >www.anatomiadigi= tal.org</a>ISSN: 2697-3391Vol. 8 No. 2.1, pp.= </sp= an>19 =E2=80=93 33, abril -= mayo <spa= n class=3D"awspan" style=3D"color:#ffffff">2025 Revista en ciencias m=C3=A9= dicas, salud p=C3=BAblica Art=C3=ADculo de revisi=C3=B3n bibliogr=C3=A1fica= .Palabras claves: Hipoacusia,<spa= n class=3D"awspan" style=3D"letter-spacing:-0.75pt"> Trauma craneal, Audici=C3=B3n, Ruido, Tinnitus.ResumenIntroducci=C3=B3n. La capacidad del ser </span= >humano para percibi= r <span= class=3D"awspan">e interpretar el sonid= o <sp= an class=3D"awspan">se da por<span= class=3D"awspan" style=3D"letter-spacing:-0.3pt"> un </s= pan>conjunto de = estructuras <= /span>como el o=C3=ADdo,<span= class=3D"awspan" style=3D"letter-spacing:0.6pt"> el </span= >tronco encef=C3=A1lico y <= span class=3D"awspan">el cerebro. La= p=C3=A9rdida auditiva posterior a <s= pan class=3D"awspan">un trauma craneoence= f=C3=A1lico, = con el o=C3= =ADdo = medio o la c=C3= =B3clea </span= >siendo los m=C3=A1s= afectados, suele pasar</sp= an> desapercibida; el d=C3=A9ficit audiol=C3=B3gico primario no<spa= n class=3D"awspan" style=3D"letter-spacing:-0.6pt"> solo <= /span>aparece como resultado </= span>de un traumatismo directo </s= pan>en el o=C3=ADdo<= /span> interno o medio,<spa= n class=3D"awspan" style=3D"letter-spacing:2.8pt"> como ocurre en fracturas= de la base del </span= >cr=C3=A1neo o desgarros <= /span>de las v= =C3=ADas neuronales centrales. En<sp= an class=3D"awspan" style=3D"letter-spacing:4.2pt"> el </sp= an>caso de la= lesi=C3=B3n secundaria temprana, existe </spa= n>un aumento de</spa= n> la= presi=C3=B3n intracraneal</s= pan> en respuesta a hematomas,</= span> hemorragias o degeneraci= =C3=B3n </spa= n>axonal difusa. La incidencia = de la hipoa= cusia <= span class=3D"awspan">post-trauma se prese= nta en </span= >aproximadamente el 5-10% </sp= an>de los casos</s= pan> de p=C3=A9rdida auditiva, = el <sp= an class=3D"awspan">grupo etario m=C3=A1s= <span= class=3D"awspan">afectado son los= j=C3=B3venes, especialmente aquellos<s= pan class=3D"awspan" style=3D"letter-spacing:0.35pt"> que = practican deportes<s= pan class=3D"awspan" style=3D"letter-spacing:0.35pt"> o </= span>participan en actividades</s= pan> de riesgo, adem=C3=A1s,</s= pan> los trabajadores expuestos= <span= class=3D"awspan">a ruidos muy fuertes</spa= n> y = lesiones f=C3=ADsicas.</spa= n> Objetivo. Analizar el impacto del<sp= an class=3D"awspan" style=3D"letter-spacing:-0.35pt"> trauma craneal en el </s= pan>sistema auditivo y </spa= n>su relaci=C3=B3n con<span= class=3D"awspan" style=3D"letter-spacing:2.45pt"> la </sp= an>p=C3=A9rdida auditiva<s= pan class=3D"awspan" style=3D"letter-spacing:2.45pt"> determinado medios diagn=C3=B3st= icos <= span class=3D"awspan">e intervenci=C3=B3n temprana.= Metodolog=C3=ADa. <span= class=3D"awspan">Se incluyen estudios or= iginales, </s= pan>investigaciones cl=C3=ADnicas,<= /span> metaan=C3=A1lisis publicados durante</spa= n> los cinco a=C3=B1os<= span class=3D"awspan" style=3D"letter-spacing:5.75pt"> (2020-2024) con =C3=A9nfasis<= /span> en el diagn=C3=B3stico = y <spa= n class=3D"awspan">manejo de la<sp= an class=3D"awspan" style=3D"letter-spacing:2.45pt"> hipoacusia por trauma<spa= n class=3D"awspan" style=3D"letter-spacing:2.45pt"> craneal. Re= sultados. El trauma</span= > craneoencef=C3=A1lico (TCE) t= iene <s= pan class=3D"awspan">efectos significativos en<span= class=3D"awspan" style=3D"letter-spacing:2.15pt"> la </sp= an>audici=C3=B3n, lo que </span= >se evidencia en</= span> varios estudios. Por un</= span> lado, en ratones<s= pan class=3D"awspan" style=3D"letter-spacing:2.15pt"> muestra que el = TCE <s= pan class=3D"awspan">leve repetitivo puede = causar = un da=C3=B1o neurona= l <span= class=3D"awspan">temprano que, aunque no</= span> afecta directamente a= las c=C3=A9lulas ciliadas,</spa= n> provoca una degeneraci=C3=B3n del <= span class=3D"awspan">ganglio espiral. = La <sp= an class=3D"awspan">evaluaci=C3=B3n precisa de la </spa= n>p=C3=A9rdida auditiva y <= span class=3D"awspan">el entendimiento de</= span> los antecedentes de exposici= =C3=B3n </spa= n>son esenciales = para <= span class=3D"awspan">el tratamiento efec= tivo <= span class=3D"awspan">de la hipoacusia t= ras <sp= an class=3D"awspan">un TCE. Estudios= coinciden en que una intervenci=C3=B3n temprana es</span= > vital para evitar<spa= n class=3D"awspan" style=3D"letter-spacing:3.15pt"> la </s= pan>progresi=C3=B3n a sordera</span= > cr=C3=B3nica. A medida<s= pan class=3D"awspan" style=3D"letter-spacing:0.7pt"> que </= span>se avanza en</s= pan> la investigaci=C3=B3n, la i= ntegraci=C3=B3n de m=C3=A9todos<span= class=3D"awspan" style=3D"letter-spacing:1.4pt"> de </span= >diagn=C3=B3stico objetivos,<= span class=3D"awspan" style=3D"letter-spacing:1.4pt"> como = la DpOAE, junto con </span= >una comprensi=C3=B3n del <= span class=3D"awspan">contexto del trauma, = puede <= /span>mejorar significativamen= te </sp= an>los resultados deltratamiento en = pacientes </= span>con hipoacusia post-TCE.<= /span>Esta </spa= n>revista= est=C3=A1 protegida bajo una licencia Creative Commons <span= class=3D"awspan" style=3D"font-size:8pt; font-style:italic">en<span= class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spacing= :-0.2pt"> la 4.0 International. Copia de l= a licencia: <a href=3D"http://creativecommons.org/= licenses/by-nc-sa/4.0/" style=3D"text-decoration:none"></a><a href=3D"http://creativecommons.org/licens= es/by-nc-sa/4.0/" style=3D"text-decoration:none">http://creativecommons.org/licenses/by-nc-sa/4.0/</a>= D i= a g<= /span> n =C3=B3<= span class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-= spacing:0.45pt; color:#ffffff"> s t </spa= n>i c</span= > o M =C3=A9 <= span class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-= spacing:0.5pt; color:#ffffff">d i c </spa= n>oP =C3=A1 g i n a<sp= an class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-sp= acing:2.85pt; color:#ffffff"> 20 | 33<img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2w= BDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFhwXExQaFRERGCEYGh0dHx8fE= xciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4e= Hh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCARhAxkDASIAAhEBAxEB/8QAHAABAQACAwEBAAA= AAAAAAAAAAAECCAMGBwQF/8QAWBABAAEDAwAECAsDBgsGAwkAAAECAwQFBhEHEiExExQXQVFVlN= IIFiJUVmFxgZKT0TI3dBWRobGysyM1NkJSc3WChMHTGCQnM6LDJWJyJkNFRmOjwuHw/8QAGwEBA= QEBAQEBAQAAAAAAAAAAAAECAwQFBgf/xAA1EQEAAQMCBQMBBgUEAwAAAAAAAQIDEQRSBRMUMZES= IUFxMzVRYYHwFSJCodEGIzKxNMHh/9oADAMBAAIRAxEAPwDpoD+lPxQANEosoAAECSqSLKAKgAk= kJPeE94pIACT3Is9yAABAkqkiysBAIkosoKkrHckrHcqACCSEiwACglXmVKvMCEhIIAKAJJAAQs= JKLKKSACD9HDteCt8z+1V2y+XCtde51qo+TT/W/RYmWK5+BjPeyYz3sswANKAAJKpIAAADIAKgA= qsZCQPgAlCEqnsYkiNQkosoKMZ7e1ap8zGGKpy1TAksuWNTDeQFpjsIgmQWYRqUhJ7wnvAAASUV= BRJUnu5QYVT5mE9yzPM8pPc5z7ukIkwqpgliLKfZ2osLTT1qo9Dk+5KY6sfWy5daacQ5VVe76AH= ocAAaJRZQAAIElUkhZQBUB9uBpebm4OdnY9masbAt03Mi5PZFMVVRTTH2zM931T6Hb+jros17fG= i3tV0vO02xZs5E4805FdcVTVFNNUzHVpmOPlR/S897VWrNM1VziOzrbs13JxTDoU96PY5+DxvD1= tof5t3/AKZ/2eN3+ttD/Nu/9N5f4tpN7t0N/a8cOXreV8H/AHxZpmbWTo2R6KaMiuJn8VEQ6Juz= Ze59rXONc0jIxrfPEXojr2pnzcV08xz9XPLva12nvTiiuJlzr0123GaqXX57kWe5HrcAAIElUkV= YAESUWU5gWElY7klY7lQAQSQkWAAUEq8ypV5gQkJBABQBJIACFhJRZRSRaYmqqKYjmZ7kfZgWv/= vao+qlJnDMziH02aIt24pjzd7MHNyGM97JjPeLAA0oAAkqkgAAAMgAqACqxkJA+BJWUSSElJhki= NMZRlLCe/hJnCwkx28oyYzDm3EiSqSKR3s0pjiFVBOFFGEwMp704BAQCUVEX4GFc89jKZ4hxpVK= whCjnhtAEBaKeZ59COWmOIappzOSZSUZVMeJdXPD6QHVxABolFlAAAgSVSSFlHPp2HlajqGPgYV= mq/k5FyLdq3T31VTPEQ4GxXwZ9gzh4kby1SzHh8imY0+irvotz2Tc+qau6Pq+15Nfq6dLamue/w= AO+msTfuRTD6N57OxdlfB71LTbc03MqvwNzLvRH/mXJuUc9v8Aox3R/wD3L7fgm/u6zv8Aa1z+6= tP3/hDTHkk1iP8AVf3tL8D4Jv7us7/a1z+6tPy1Vyq5oaqqu81f+n26aIo1VNMfg9T1vVcDRdMv= anqeTTjYlmIm5dqiZinmYiO765h1WOljo9nj/wC02L+Cv3XF0/8A7pNc/wBXb/vaGnTpwzhlGst= zVVMxiWdbra7FcU0w3m0Ddm29fqmjR9bwc2umOardq9E1xHpmnv4+5+nnYuNnYl3GzLFvIx7tM0= 3LdymKqao9ExPe0MxMnIw8q3lYl65Yv2qoqt3LdXVqpmO6Yluf0S7hvbo6P9L1fJqpqyq7c28iY= jjm5RVNMzx5ueOfvcuI8MnR4rpnMNaTWRqM01R7tcOnfYNGy9ft39Opq/kjP5qsRM8zarj9qiZ9= HbEx9U/VMvN23PwktMtZ/RVnXqrcVXMK7ayLc+emetFM/wDpqlqfpUzTqeLNNm1fmL1HFu9zNFf= yo7KuO3ifPw/QcJ1VV/TZq7x7Pl66zFu9iO0vedP6O8Kvoyo29XoVVWu5GlVanGp+Kz1aLvXiqj= H8Jx2VdXsmOfNM+d0jb3Rxo2dtjb+rapum9p97XMivGxrNOnzdiLkXJoiJqiuO/iPNHe9Kubc6b= 691U6/Tq2k0RExP8n05t6MTiKerx4P0T39/f2vl1HY3ShmWtIteKbUsW9J1CvPxrdm7dinwlVyb= k0zz/m8zMREcdnnfJt6qujMc2Pec9/r7f9PbVYpn+ifb2dH0Dojrz8/VsHLz9Qt3NPz6sTwuPp/= hbVcRETFXWmunie3mae3jsfp6T0c7Z0zTd9YW48+u5l6NNiLeXasVT4CiunrU3IoiviqaueJpnu= 6vf2ubeWsdJG0IzLm5Ns6Jm6fnZ3jkVXLNV6xavcRT8maa4mn7Kvr4878nae6N+7n3BuTU9I21p= esRqduxTqWHctc2OKKerbmIqrie6mrzz5/q49M16u7RNfrj0+3aY/JyxZomKfT7vjwejrQ6NO0S= /rW6b2De1+5VTptu3gzcjq9aIoruT1o463NPZ5ut9U8fTp3RRh0xkU63uSvBu29bjR7UWcKbsXb= lUUzRVz1o4iet9z5r2+Nz7UvWdC1vbeiXcrSrs3cOnMx+vXhTX8uIommrjiOYmO/js9Ecfi0dIm= 4PFqbV+nEya41mjWartyietXfpiOIniYjqdndERPomHoijX1xmmr2+sf2/RxmrTU94di3H0V4Gn= 2cy5p25pz69O1CxhZ1m5gzamibtVMRMT1pir9qP1fqal0c0a/u/WsOa68K1pVy3i0fyZpEeBqia= Iq5nm5z1uZ7eZqn6+50zL6SNcyKtXm5i6fH8rZtnMv8AFuv5NdqYmmKfldkT1Y555+52La28d87= o1DW7OnbY0fXIzr1Gbk4l6zM27VcUxRFVPNcT3RHfM/c5XLeuop9VVXb5zHzhuivTVTiI7uldI2= 1ruzt15GhXcujL8FTRXRepo6nWpqjmPk8zxP3y69Hc7V0sZu4s/eV+/ujTLGnal4K3TVYsxxTTT= FPyZ/aq831v1dS6JN1afs+rdF+5p04NONTkzFN6qa+pVETHZ1e/tjzvqWtTTRao51UZn+7x12Zq= rq9Ee0OgAPY86SEuy9H+ydY3vn5OFo1eLTdx7UXa/D3Jpjjnjs4iWLl2i1TNVc4iG6KKq5imnu6= 0P2d6ba1HaWv3dF1WbE5NqimqqbNc1U8VRzHbMR6X4zVFdNymKqZzEs1UzTOJEq8ypV5m0QkJBA= BQBJIACFhJRZRRnZom7ciiPv8AsfqUxFNMUx2RHY4cK14O11pj5VTnYqlyqnMgDLIxnvZMZ7xYA= GlAAElUkAAABkAFQAVWMhJIfCSIqSsAIglUsOGVU9qcszLpEIKkwipwcKSQSACZABUnvRZ70CA4= AVEmGTGqeIQYVT2sPOySYYlqEARUAjtngwZZW457XIkRxHBzx3ukRhMkosoqPoAdXAAGiUWUAAC= BJV9eiaXm61q+LpWnWpu5WTci3bpj0z559ER2zM+aIZqqimJqntDURMziHcOhLYte9N00+M0VRp= OFMXMuru6/+jbifTV/VE/U2+tWrdm1TatUxRboiKaaaY4imI7oh1/o72rh7P2xjaNh/Kmj5d+75= 7tyf2qv+UeiIiHYrlNU0TFM8Tx2TL8NxHWzqr2fiOz9NpNPFi3j5+XgXwot60xTRsvAuc1VdW9n= 1R5o76Lf/wDKf93637/wTv3dZ/8Ata5/dWnUel3oks6Lt/Vt3X9w5efmeEi7cpuWaaYrqrriJ7Y= ns/adu+Cb+7rP/wBrXP7q09t+bP8ADoi1Off3+rzWuZ1ea/wdl6f/AN0euf8A0W/72hpy3F6f/w= B0muR/8lv+9oadPof6f+xq+rycV+0j6Daj4LMV+TOvr89X+ULvU+zq0f8APlq/p+Hl6jm2sLAx7= uTk3qurbtW6Zqqqn7Ibo9Fm3Lm1th6Zo1+KPGLVua780zzHhKqpqq7fPxM8c/Ucfu08mKPnJwqi= eZNXw+bpr6kdFm4ev3eKTx9vMcf08NN9I/xrh/6+j+1Da34Smq2sDoszMeqvi7nXbdi3T56vlRX= P9FMtUtI/xrh/6+j+1DHA6ZjTVz++zXEpib9MN1OkvW8vbexdT1vAptV5OLaiq3F2JmiZmqI7Yi= Y9PpeCYPwhN228u3XmabpF/HiqPCUUW66Kpjz8VdaeJ+viXtHTt+6XX4//AEKf7dLTXlw4No7Oo= tVTcpz7uuv1Fy1ciKJbx41ek732Xbu1Wqb+nariczRVxPEVR2xPoqpn+aYeC9COl720ncm6tJ2x= e0SL+Feox8urUKbkxV1a7kUzR1Psq7/qeudAGNkYnRHodvJoqorqouXaaZ/0a7tdVM/fExP3ut9= C1dFzpV6SKqOOPHqI++K70T/S8NqqbVF63T7xH+Xprp9dVuqe/wD8eI9MFjX73SZnY+s04l/V7k= 2aaqcCmubdUzbp6sUxV288cfe7BonQPvjUcSnIvzpunTV3Wsm9V1+PTMUU1RH8/L0fRNLx874UO= u5d+iK5wMK3dtRPmrm3bpif5pqfJ8InpF3HtjXMLRNAyacPrY0ZF69FumqqrmqqIpjrRMRHyZ83= n/n+nTrtRXy9PYxE4h4p01qn1XbucZdSn4PG8PWuh/m3f+mw6GdG3noe/twaNt6/ok5+Ha8Fk15= nhJtVRFcfsdWOe/08PSfg37p17dOjatf13UK825YyKKLc1UU09WJp54+TEPzeiT9/e/Ptq/vIcL= ur1E03bV6Yn0x+H5w60WLUTRXbzGXQt3bN3fvbpfztH1HK0W3q9vBoyLldqblNiaIiiIiOYmrn5= Uebh7zuHbObqPRZc2pZvY9OZVp1vFi5XM+D61NNMTPMRzx2eh4T066/rG3OmnUM/RM65hZNWHZt= TXRETM0zTTMx2x6Yj+Z7VurV9SxOhS5rePmXLeoxpVq9F+IiauvNNMzV6O+ZcdVzposTGMe2Pq3= Y9EVXInv8tcd49GGubW1nRtLz83Trt7V73gbFVmuuaaautTTzVzTHZzVHdy7THweN4T/+LaH+bd= /6bote4t57x3BpVq5n5Oo6nZvx4hHVp5ormYnmOIjz0xPb2dj3HE2f0212KK8jf+HYuT30RHW6v= 1c+DfT1Wo1Onppiq5TE/P7w8di1ZuzMxRMw803J0Gb20fTq8614hqdNuOa7eJdqm5EeeYiqmOfs= jmfqfvfBE/ys1r+Bp/tw9v6PdO3XpmlXsXdusY2rZHhetZvWqJpmKOI+TV2R5+f53mvQvYtY3Tn= vqxZoii3TVc4pjujm7y8FXELmo0923cmJx8x9XqjS0WrtFdPtl5v8Jj97Wd/D2P7EPNHpfwmP3s= 538PY/sQ80foeG/wDi2/o+Vq/tqvqJV5lSrzPc86EhIIAKAJJAAQsJLmwrPhLvWq/Zp73DxM1RE= R2y/Ux7cWrUU+fzkzhmqcOSUWUc3IAAYz3smM94sADSgACSqSAAAAyACoAKrGSe4knuRWKopCQM= ap4VjPektQhMAy2ncvIiC8dqSpKiAAAIMZ7xZ70FiQAUcVc81M654jhxyzKgDOCEk4UGssWVuOO= 1IjmeHJDVMM1SANJCTCLKA+gB1cQAaJRZQAAIGy/wbtgxo+lRunVLURqGbb/7tTVzzasz5+PTV3= /Zx6Za36bk04efYy6sazkxarivwN6Jmivjt4q4mJmPveqf9oHedNMU0adoNMRHZxj3ez/9x8ril= rU36OXZj2nu92juWrVXruNit367iba25m61mz/gsW1NXHnrq7qaY+uZ4j72ts9Pe+pqmYp0uI57= I8WmeP8A1PwukDpQ3JvXTLOm6pRg2Ma1d8L1cW3XR16oiYjrc1TzEcy6O8/D+D00UTOopiZddVx= Cqur/AGpxDv8Au3pc3ZubQcjRdSjA8VyOr1/B2Jpq7KoqjiefTEPYPgm/u7z/APatz+6stYHfOj= zpS1/ZGi3dK0rD02/Zu5FWRVVkW65q600008fJqiOOKY8ztr+HxVp+Xp6Yj3y56XVYveu7Pw251= XTsHVcC7gali2srFu8eEtXaYqpq4nmOY+2Idfjo62LHExtTSPvxqXhX/aF3l6r0L8m7/wBRJ+EL= vH1ZoX5N3/qPiUcJ11PtT7fq+lVr9NV3/wCmxmj7f0LR5qnStIwcGqqOKqrFimiZj0TMQ+nU8/D= 0zAu5ufk2sbGs09a5cu1RFNMfa1e1Hp731lWposRpWFP+lYxpmr/11VR/Q6JubdW4ty3Yua5q+V= m9Xtporq4opn6qY4iP5nW3wLUXKs3Zx/dividqmP5Idn6cN/fHbcNNOF16dJweaMaKo4m5M/tXJ= +3iOI80fXMujaR/jXD/ANfR/ah889yUzNNUTTMxMTzEv01rT02bXKo7PjV3ZuXPXU3t3TomHuPQ= MrRc+q5GLlURTcm1VxVxExPZPb6Hn2J0DbEsZNu7XGpZFNE8zbuZPyavqniIn+lrHGu63651H2m= v9Sdd1uY4nWNQ4/ia/wBXw7fBtTaiaaLuIn6vpVcQs1zmqjLb/pF3pomw9uVVVXLEZFNnweFhUT= HWrmI4piI81MdnM+aPuh5f8EnIu5Oqbqyci5VcvXfF67ldU9tVUzdmZn75eBXbly7XNy7cruVz3= 1VTzLlw87NwpqnDzMjH6/HW8Fdmjnju547/ADvRRwaKNPVbir+ar5c6tfM3YrmPaPh7vqu7MXaP= wmdTzNQueDwcqzaxr9fHMURVbtzFX3TTHP1TLvnST0caH0kU4eqWtUnHyLdrqWsnH6t23ctzPMc= xz2988TE+fztWtAxLu491abp2XmXfCZ+Vax6r9czXVT1qop57Z7eOe76nvWJ0A3sSmacTfWfj0z= 5reP1f6rjx6yxb0tVExc9NcR+Dvp7tV6mqPRmmZd66Jdg29g6fm4lvU69Q8bu03Jqqs+D6vEccc= czy6Z0Sfv6359tX95DuWz9DwujXbOdd1jct/Ntzcm9cycuvq9WIp4iimJmfRPd2zMtUtzbiydR3= dq2t6ffycOM7KuXaYouTTV1JqmaYnifRw4aPT16uq7HqzmO/6uuou02Io9u3w7d8Jqf/ABZzf4e= z/Yh77oWPg726GcLTreX1LWbpdvHruW+KptVxTETHHpiqO76mnWVkZGVem9k37t+5PfXcrmqr+e= XLhZ2dhRPieZkY/Pf4K7VTz/NL69/hdVyxboirFVLwWtbFFyqqY9qntej7PwuiXpT21k6rrlrLx= 87w9vw04/gqbNXU6tMz8qrvmqI57OHq/SVtHWt114VzRt45uhU2KaorpsRM03eeOJnq1U9scT6e= /wA3n09zc7NzerOZmZGTNHPV8Lcmvjn0cy5cfV9Wx7cWrGp5tq3T3U0ZFVMR90S5XuF3rlVNya/= 5o/JujW26ImmKfafzbj9Ge1tX2thZljV9z5OvV37kV27l+Kom3ERxxHWqqdB6If39b8/+qv8AvY= a8TruueudR9qr/AFcFnUdQsZFzIs5+VbvXf/MuUXqoqq+2YnmWKODXMV+quM1R+DVXEKc04p7PQ= vhMfvazv4ex/Yh5o5MnJyMq9N7Kv3b92Y4mu5XNVU/fLjfa0tmbFmm3M5w+deucy5NX4iVeZUq8= z0OaEhIIAKAJJADK1RNy5FEechX0YFrmrwtUdkdz7UopimmKYjiIZMTOXGZzKSiyiIAAMZ72TGe= 8WABpQABJVJAAAAZABUASVVCQkVioiJCVSxWe1GZagFRFyEKiqEgggvCSNZABMJPeiygAJVJKsK= u2eUZJLm2nCKAgcLTHM/UBTHHayU4dGEAFhJRZQR9ADo5AA0SiygAAQJKpJCygCoAEkJPeE94Ei= KAk9yLPcgAAQJPcqSKytV127lNy3XVRXTMTTVTPExMeeJfb/LOr+tc72iv9XwwMzRTV3giqY7Ob= MzMvLmmcrKv3+r3eFuTVx/O+dZRYpiOyzMz3SVjuSVjuaZAEEkJFgkAUEq8ypV5gQkJBABQBJIR= +hhWupb69UfKq/oh8uJa8Ld7f2Y7ZfpMzLFU/CgMsJKLKAAAMZ72TGe8WABpQABJVJAAAAZABUE= mFFViSSSCMap8ysZ70lYQBGl8yLPciILxKMlViMphEVAAJRU4RYE4UBjPYwZ1T5mPDMtQgJwirw= xXkMCM6Y4hKI5llMLTBKcqxOWmMrKEgpKcKCOYc3imX82ufhk8Uy/m9z8Ms9Ra3R5OTc2y4RzeK= ZXze5+E8Uyvm9z8J1FrdHlrk3NsuGUc84mV82ufhTxPK+bXPwnUWt0eU5NzbLhHN4nlfNrn4TxP= K+bXPwnUWt0eVizc2y4Ulz+J5Xza5+FJw8v5td/CRqLW6PK8m5tlwDn8Ty/m1z8MniWX82u/hle= otbo8pybm1wDn8Ty/m138MnieX83u/hlOotbo8kWbm2Xzz3jmnCy/m138MnieX82u/hleotbo8n= JubZcI5vE8v5td/DJ4nl/Nrv4ZOotbo8nJubXBPcjnnDy/m138MniWX82u/gk6i1ujycm5tlwDn= 8Syvm138EniWX82u/gk6i1ujyRZubXAkvo8Syvm138EpOFl/Nrv4JOotbo8rybm1wwOfxLK+bXf= wSeJZXza7+CTqLW6PKcm5tl88o+icLL+bXfwSeJZfza7+CTqLW6PK8m5tfNKx3ObxLL+a3fwSsY= WX82u/gleptbo8pybm1wD6PEsv5td/BKeJZfza7+GU6m1ujycm5tl88jnnCzPm178EniWZ81vfg= lY1NrdHlZs3NsuAc/iWX82vfhk8Sy/m178Er1FndHlOTc2y4EnzPo8Sy/m178Ek4OZ82vfgk6iz= ujycm5tl8w+jxHM+bXvwSTg5nza9+CTqLW6PJybm2XzD6PEcz5re/BKeI5nzW9+CTqLO6PK8m5t= l869szxEczL9vTNobq1PG8Z07buqZdjrTT4S1jV1U8x3xzEP0sLo+3rFc117U1mOO7nDr/RidXY= j+uPJybmP+Mvxce1Fq3FPn88uV2H4i70+iuseyV/ovxE3p9FtY9kr/AEY6uxvjy5ci7tl10di+I= u9PotrHslf6HxE3p9FtY9kr/ROrsb48nIu7ZdclHY52JvT6Lax7JX+ifETen0V1j2Sv9Dq7G+PJ= yLu2XXR2L4ib0+iuseyV/ofETen0V1j2Sv8AQ6uxvjyci5tl11j53ZfiJvT6K6z7JX+jH4h71+i= us+yV/odXY3x5WLFzbLrg7H8RN6/RXWfZK/0PiJvX6K6z7JX+jXV2N8eV5FzbLrg7H8RN6/RXWf= ZK/wBD4ib1+ius+yV/onV2N8eTkXNsuuI7J8RN6/RXWfZK/wBE+Ie9forrPslf6L1djfHk5FzbL= rg7H8Q96/RXWfY6/wBD4h71+ius+x1/onV2N8eTkXNsuuJy7J8Q96/RXWfY6/0PiHvX6K6z7HX+= h1djfHk5FzbLrg7H8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHlORc2y64Ox/EPev0V1n2Ov8AQ+I= e9forrPslf6L1djfHk5FzbLrQ7J8Q96/RXWfY6/0Sdh71+ius+yV/onV2N8eWuRc2y61PenDsnx= D3r9FdY9kr/Q+Ie9forrHslf6HV2N8eTkXNsutTHZ2I7N8Qt6fRXWPZK/0Sdh71+iuseyV/odVY= 3x5Xk3Nsut98I7J8Q96/RXWfZK/0T4hb1+ius+yV/odVY3x5OTc2y64yh2H4hb1+ius+yV/ofEP= ev0V1j2Sv9DqrG+PJybm2XXkl2P4ib0+iuseyV/oTsTen0V1j2Sv9DqrG+PJybm2XWx2P4h70+i= us+yV/ofEPekf/lbWPZK/0Oqs748rybm2XXB2L4ib0+i2seyV/ofETen0V1j2Sv8AROqs748rFq= 5tl1ye9JniHZJ2JvT6K6x7JX+jjq2PvLnj4r6v7JX+h1VndHleTc2y66OwfEfeP0Y1f2Sv9D4j7= x+jGr+yV/ox1FrdHleTc2y6+xdi+JG8foxq/slf6J8R94/RjV/ZK/0Ootbo8nKubXXk4dh+JG8f= oxq/slf6M6NibzqjrRtbV5j+Er/Q6i1ujycq5tl1+I4jgl2P4ib0+i2seyV/ok7E3p9FtY9kr/R= rqbO6PJyrm2XW+xOHZPiJvX6K6x7JX+h8RN6fRXWPZK/0XqbO6PKcm5tl1yCYdj+Im9PorrHslf= 6HxE3p9FtY9kr/AEOps7o8nJubZdbHY6tib0+iuseyV/onxF3p9FdY9kr/AEOps7o8pybm2X6PA= D8C/WgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD79v6Vla5rWLpOHTzfybkUUzPdTHnqn6= ojmZ+x8D3n4P20/ENKr3Hm25jJzKerjxPfTa/wBL7ap/oiPSg9G25pGJoeiYulYVHVs49EUx6ap= 89U/XM8z979EiOBAAAAAAAAAAAAAAAAAAAAAAAAAcVc8yzrniOzvcYJwjIBiLwgJMCgIkxyvADH= jhO9mkwDHhGRwDDgZcJPcDivVdSjmO/wAz4/O5r1XXrmfNHZDjmBWExDGaWcwA4+IThyTDGY4US= 3RNdcUx53300xTEUxHEQ48S31aetMdsudFYpLLhBEJXhBMJwjJOBUlOIZSgNRAGkAAAAAADl+1t= bFx9Qp1PT68eLmVcw6rmHVH7VNy3MVzEfbRFcfbw7PG29OqysKIxaJtaPdm1rU01TPhOra8NVM+= jmabtv/dp88g8+OXctH0zS8/B03WrmNTRj4l3I/lK1RMxE00R4W3H1daJ8H/ux5zWNP0rS8bUNW= oxaLuPlZdidNtXJnjwVVMXq/t4iaKJ+2QdNHoVe2NPs39QsXMejjVbtVGi1TVPyafBeGpmPTz17= VH31eh1nc2HaxKMLDx8Oqi9i4VurOucT23bny+30cRVRT9sA/Dct+xXZtWrlVdqqLtPWpii7TVM= RzMcVRE80z2d08T53bNcr0jQ8qNCo23j5seL26qsu7cuReu1V24q69E01dWKYmeyOrPZHa59O0H= TM7L2xau0UWreRpt7JyO2qJvVW670xE9WJntiimPkxzx3RyDo47nuCjbuVoGVkY06RayseqjwP8= m2sziqJniabk3aer3czE8xPZL9CbG36922tq29vYtFrJot0VZc3Lk3qLldqKutT8rqxETPdxPPH= 1oPPHLTYrnFqyYrtdSmuKJpm5TFfMxM9lPPMx2d/HDsmLGnaNtfT9Tu6NjapkZ927FVWVNfg7NN= uYp6sRRVHyp55mZn0cQ4rmLh5e2NSzsbTYxrs6pYt2bfXmubdFVFyepEz2zHMR39vZCjrZ//ALv= eh5ek6VXpuqadXjaFZzcDDru8Yd3IuZFuu3x1uvXMTant5iY5757H5moXNK0W7i6RG2cbUPCY1m= 5cyrly5F6/NyiKubU01RTTETV1Y7J/Z7fOg/A1XSbun6jn4dV6xXOFX1a6puRTNfbx8mmZ5n7I5= fnO77ixMa/rO9712x1rmNMVWZrj5VEzfopn7+JmHz6jc0rRqsTSPi1j5/hcazcuZNdy7F69NyiK= ubUxPFMRNXEfJnu7QdVosV141zIiq1FFuaYmJuUxVPPPdTM8zHZ2zEdjG7buWa+pdt126+Inq1R= xPExzH88TEu5a1p+nadc3Jes6faqjT9VsUWbV6KpiKObnNE8TzxPViJ7eezvfRr1yjWt5YuJRom= k26LOLZyL1XhLlqmq3GNRXPhKpqniimO7jieI75lR0S1T4S7TbieOtVFPP2vs3Bptej65naXcu0= 3q8W/VamumniKppnjnh2jcmHpdzRcPVcG3pVF2jUIxq503w8WqomnrcT4aP2o476eztfl9I1q7O= +NfvRbrm1TqF2ma+rPViZqniOfT2T/Mg66cw7xqEaNo+uWNufFrHz7dUWabmTcruRfvTcppnrUT= TVFMR8rsjie6OUu4Gk7ewtduXtOx9WvYOrxh49V+qqKOrxc5mqKZjn9mOznv+xR0gdy1W5pOheJ= afO3MTUJycW1k3ci7cuxXXN2mKuLXVqiKYp56sTxPbHa/I3zh42n7sz8PDsVY9i1XEUW6u+mOrE= 8T9YPxAAAAAAAIiapiKYmap7ojzg7P0Z7Xubq3RZwqomMO1/hcqvjuoif2ftqns/p8zaaxat2LV= Fq1RTRbopimimmOIpiO6Ih1Dom2rG19sW7d+iIz8ri7lT54njso/3Y/pmXcmQAAAAAAAAAAAAAA= AAAAAAAAAAJEq5nsBhM8zyizCAnHApwCBMAJMIyAYizCAgpwCJwoDFxX6urTxHfLmmYiOZfLXM1= VTIsOLhJhnwgrCYSYZzCcA42Vqjr1xHm86zD6LNHVo+ue2RJZ+bgAQAFSYRkTAMeEZIIgvCA1CA= aAAAAAAH06ZnZemahY1DBvTZybFcV264iJ4n7J7J+9z2Na1Wzb1C3azblNOpRxlxxE+Fjnrdv38= 93pmPPL88B9mJqediadmafj5E28bNiiMi31Ynr9Weae3jmOJ57jN1PPzcHCwsrIm5j4VNVGPRMR= HUiqeZjsjme30vjAfoX9b1a9Vp1VzNuVTptNNOHzEf4KInrRx6e30+iI7ohlk65q2RVqU3s2uqN= TqivMjiIi7MVdaOeI7OJ9HH8z80B+zjbp3Bj4EYVnUq6bVNE26Jmimblumf82muY61Mds9kTD46= 9W1KqcGrxuumrAo6mLVRxTVajrTV2THE99Uzz39r4gH6usbh1nVrMWc7M69qKuvNFFui3FVX+lV= FMR1qvrnmXDTrGpU6zb1inJ4zrc0zRd6lPZNMRTT2ccd0R5nwAP09H1/V9Js12MHL6lmuetVauW= 6blHW7ut1a4mIn64jlx5WsanlWsi1k5ly9Tk36ci9NfE1V3KYmIq63fHEVT2cvgAfuZO7dw5Niu= xe1GaqLlubd3i1RE3aZiYnrzFPNc8T31czHmYYO6NfwsGjDxtRqptW4mLczbpqrtR6KK5iaqP92= YfjAPvv6zqd+5n3LuT1q9Q48amaKf8ACcVRVHm7O2Ins4dq0TOro0nEt0b6x8TGooiK7d7EqnJx= /wDSptVRRVMR38cVU/ZHa6MA/Y1/XcjUNQ1auxVVbxNQy/GJtVUxM9k1dTme/mIqnuSNya3FWDX= Tm9W5gUdTHri3RFVNPHV6s1cc1Rx2cVcxx2PyAH6up7h1jUrUWszLiu1Tcpu026bVFFFFVPPE00= 0xER+1PZHf5+XHn65q2dby7eVmVXKMzJjKv09WmIruxEx1uIjs757uIfnAP2sPde4cTDpxMfUq6= bdFPUt1TbpquW6fRRXMdamPqiYfmxnZcadc0+Lv/drl2m9XRxHbXETETz391U9j5wHd9v51y3o+= Nas73xcKxRH+Es5OJVVex557fAzFFX2xxVT2+h1zdmpWtY3JnalYpuU2b92arcXP2urxERz9fEd= r8sAAAAAAAel9A2051fXp1vMtz4np9UTb5jsuXu+I/wB3v+3h5/o+n5WrapjabhW5uZGRciiiIj= 0+efqjvmfREtr9paJjbd0HE0nEj5Fijiqvjia6v86qftlJH60RxACAAAAAAAAAAAAAAAAAAAAAA= AABLGFn0AITCgjCYRmkwKxOFnsQEFJgESYUBOEZJwCJwqVTERMyDhvzPHVj73C5J5meZ70mIkWG= EpMMpiUFY8Jwz4SY8wFmjrV8z3Q+hLdPVpiPP52QyicLMAMRknAIAAnCgqIyOAa3+TPfHqK5+db= 948me+PUVz8637zaAXKNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPz= rfvNoAyNX/ACZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/y= Z749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvH= kz3x6iufnW/ebQBkav8Akz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8me+PUVz8637x5M98eorn51v= 3m0AZGr/kz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8AJnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M9= 8eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ= 749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/wCTPfHqK5+db948me+PUVz8637z= aAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me9/UVz8637zaAMjyroT2Hl6= FdydY1zGiznTzax7c1RVNFP8AnVdnZzPd9kT6XqpxHogQAAAAAAAAAAAAAAAAAAAAAAAAAAEmFB= EADIAGE4SYZAZYIzmEmBWKcMkBBU4AcN6fldWO5yV1cRy4e8GKTDLhBWKTHLNOAYcSzs08zz6CI= 5nhzU08RxAJwKCMTheAGIpwDHhJZAMRZhAAAfoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgpwJ7oEwAAAnDGYZgMEZTDC52QK4655q+qGEwzlAYD= KYSYBjMehGREczwC2qe3nj7HIccAInDIBiLwnAJwjIBicLwgIKkwCcHCgPuAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOAEwkwKSCAgo4qp608s= 657OHHwJhJSWRwKx4RlwnAMeGVuniOfSRHayAOABBU4AABJhGQDEXhASUZJMAnBwqA+0AAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJ445Vj= X2iYYTzyjJOBWPBwoDEmF4POBTCgCcIyAYi8IAnCgIKnACKAnCMkQQ4ZU0zVVEQ5vB0ehRmAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABMse= FnvBGMwkwzSYDLBJhnMJwKxWIAE4FAQJAE4UBOEZJwCC8IBwigIkspgopmqrjzA5LNPEcz3y5Of= qAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= ABJVJAAAAEwJMKAxmE4ZpwKwFmAEOABOOBTgEAASYUBiMkmARzW6eI+1x245q+qHNAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgnHCn3= ggqcCgAAAgnCgMOEZpMCsRZhACYAEFSYABlbjmeQZ0xxCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJg4SVAQAXIAGAATCJMMgMs= OEZ8JMCsRZQDjlyUxxHEJRHnZAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACJMCgIHCCqAAAInCcdrIgFAFAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAO04ARBUDIAKR2qQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHHaAmAAUAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAmU5fkbu3Hpe19LjU9YvV2cTwlNublNE19WZ7uYjt4= YbZ3PoW5sa5f0LU7ObTa4i5FHMVUc88cxMRMd09/oa5dfp9WPZiblMVenPu/a5OWq1vpe3roOu5= +PGfb1DGt5VyKbWXR1uIiueyKo4q7vrbI7M1ivX9radrNePGPVmY9N2bcVdaKZnzc+d6dVobumi= Kqu0vNptbb1EzTT3h+z5uSJ5dO6Yd31bI2Hm63Zooryommzi0V/szdqniOfTERzPHn4eDbL0bpw= 6QdMr3HibvvYWLeuTFqq/m3LNN3iZiZoot0zEUxMTHdH1PI9jarkeG5WD0j7J6MLtOq9IGlYesX= dXpqt6hm3671qLE2uPBc3LVUxVNVMzx1fv8z07B3Fp+kbJ0nVNzbg06nwuHZm7m1XIotZFybcTN= VHMRzFU8zEREdnmgHZB1XTekXY+pVZFOBuXAyJxsevJvRRXM9S1RHNVc9ndEPmp6VejqqqKY3fp= fMzx23Jj/kDuY+LK1fS8XSf5WydRxLWn+Di541Xdpi11Z7qutzxxPMPwNN6SNi6nqFjTsDc+n5G= Xfri3atUVzM11T3RHYDtg8p6LN1alas7l1DeG/ND1jBwq7c0V4nERiUzVXExc4tUds/Jj/O7pdl= sdKXR5evUWqN36V1q54jrXurH889kA7iJTVTXTFVMxVTMcxMd0qAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADy/wCE5+7G5/F2v= +bqXwR+7c3/AA3/ALrtvwnP3Y3P4u1/XLqXwRv2dzf8L/7r7Vr7sq+v+HxLv3jT9Hie5P8AKHUv= 4u7/AG5be9EP7sdv/wADR/U1C3J/lFqX8Xd/ty296If3Zbf/AIGj+p6uNfYW/wB/Dz8H+3ufv5d= D+GBjX7/Rfi3bVM1UY+qWrl3jzUzbuUxP4qoj73Yvg46jg53RFotvEv267mLbqs37dNUTVbriur= sqjzc9/wBku5bm0TT9x6Fl6LqtiL2Hl25ouU88THniYnzTE8TE+mHgWb8GOvxu7Vp28PB48zzRT= ew5muI9EzFcRP28R9kPzb9G7V8MCf8Awtxv9q2v7u68d6UMvJzNf2Fpl/TsnVMTH29p82sC1VVE= 5M1URNUR1YmeZ4insjn5L1ijoLyqejC9s6rc1mq7c1enUIyZxZ4iItdTqdXrffzz9z9je3Q1i7k= 0Lb1q1rN7Tta0TBs4lrOtW+YrptxHHNPWiY7YmYmKuznzivP9sY2NOi7xrp6KMzaVdvbGfNObeu= ZExXPUiPB/4SIjmYmZ9PyX42wdibY1b4PmvbozdPmvV8SMmbORF2uJp6lFM09kTxPb9T1HQeine= GLa1bH1jpFzNWxtQ0vJwabN6m5VTRVdo6sXOJrmJ47X6u0+jK/oXRJquxatYt37mfF+IyosTTFH= hKYj9nrdvHHpEa769m5eR0NbD0i7l3KMK/qGb4Tmrsjq3KIp/m8JXx9rZTbnQ/sHRM7C1LT9Gqp= zMOqm5avVZFyqrrR3VTHW45+516joP0/J6LsTZ+p6rNzKwsi7kY2fZs9WaJrntiaJmeae7mOY7o= 7YfPszoh3hoGv6Zm3ekjPzMDCvUVThzF2mi5RT/mcTcmIjj6uAeadE2p6JpG0OkrL3Fg1ahp/hs= eivFprmnw1U3LvVp5ieYjrcdvoj7nXN3VafnbOu52n9EWZodiuKLlrVqb+RctUUzVEd9VPVmKu7= v75h7hoHQZbxNu7o0XUtc8Yt65ctXbdyzj9SrHrt1VVUzxNU9btqj0d0+l+Fe6BN23dH/kW50l5= NemRTFEYlVi5NrqxMTEdXwnHETEcfYD0noAy8jN6H9u5GVdqu3IxqrfWq7+rRcqopj7qaYj7ne3= XOjPbde0Nkadty5l05dWFTXTN6mjqRX1q6qu7meP2uHYwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAeX/Cc/djc/i7X9cupfBH/= AGdzf8L/AO67b8Jz92Nz+Ltf1y6l8Ef9nc3/AA3/ALr7Vr7sq+v+HxL33lT9Hie5P8otS/i7v9u= W3vRD+7Hb/wDA0f1NQtyf5Q6l/F3f7ctvOiGf/DHb38DR/U9XGvsLf7+Hn4P9vc/fy7NnV1W8DI= uUTxVTaqmJ9ExDVLYm6OnPe3js7d12rIjCqoi914x7fV6/W6v7VMc/sy2r1P8AxZlf6mv+zLX34= Fn/AJW7P9Zi/wBV5+bfo4fNsTpR37t3pKs7Q6RqvC05N2ixVNy3RFdmqv8AYrpqojiqiZmOe/7u= Jeoba1nduT0raxpeoZej16FZornFtWL9qrJpmJp469EVdaI7Z74jzPFfhN128zp10jGwZivJoxs= WzXFM9sXJvVzEfbxVT/PD7sXUcnSOnLpL1PDq6uTi6TmXbVXHPFcRb4nj6pBsVnbk2/p+TVjZ+u= 6Xi3qe+3ey6KKo+2Jnl1rpG3RmfE69n7G1nQr+ZayLdFV29mWvA0xPPMTVNUUxPojl4r0KdFW39= 77JzN0biy9QyM25lXojwd+Kf2YieapmJmapmZnnn0OmaHER8H/c9Md0a3iR/wCmoHs/TdvzXdv9= F+3snA17Dxdx5FePVmU4tdq51qarNc11Ux2xNE1xHFUdnd2vS9qbq0jM2liajka7p1ybWJYqzbv= jNHFquumP25ieKZmrmO3jta9dN+29Lt9C+yN1027n8qXMPAwaq+vPV8F4tXXx1e7nmO93bL2z0d= 7G6FcnM1TEzq8PW8bCqy7Nq/M3L92ni5RTRM9lPbNUz9UT9gPXMfde2Mm/RYxtxaReu1zxTRRmW= 6qqp9ERE9rzLpX3duLSOmnZ+habqdzH03Pmz4zYiimYuda9NM8zMcx2dnZLwLeU7Mu7fjJ27s3c= ek3+vTVby8nIm5Zqp9Hd5+Y4mJ9DvWtZuVqO/uh/Nzb1V/Iu4GFNy5VPNVc+GmOZnzzPpBtTAQA= AAAAAAD8PfG4MbbW28rVL/wAqqinq2aP9O5P7Mf8AOfqiXgHlU33zP/xqI+rxWz7gNmxrJ5VN9+= u49ks+4eVTffruPZLPuLgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367= j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyq= b79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+= /XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsay= eVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHl= U3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbN= jWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9= w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcM= DZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZ= LPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz= 7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79d= x7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/Xce= yWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTf= fruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU336= 7j2Sz7hgbNgIAAAAPL/hOfuxufxdr+uXSfgp52FiVbioyszHsVXZxvBxduxTNXHheeOe/vh7zq+= mafq2L4pqeFj5mP1oqm3eoiqnmO6eJfkVbE2ZMdu19In/AISj9Hvt6ymnTTYmO85y+dd0lVWpi9= E9vhrruLok31d1LNzsTSrWXYu37lymbWVb5mmapmOyZh6F0e9It3auiYW3t57c1TR7WHbps282r= Hrm3VEeers7Pu5ek2NlbYxuZw9IsYcz3zi1VWZ/nomJc8bdtW4mnG1LU7duqOKrdzInIoqj0cXe= t2fZw6XuIc+iKLsZiP0Ys6CbNc125xMvtsZeJrGj13tOy7GTZv2qot3bdcVUzzHHfDWvTPg/9JG= mzd/k3dmmYXhJia/F8zIt9bjnjnq0RzxzP873jE2dj6ZkXM3Rb9Om5NUzM02LfVsXezs8Ja56sz= /81PVn63Z8abk2om7TTTc4+VFM8xz9T51WM+z6VE1Y93h3RZ0E39A3RZ3LurWLWpZuPc8LZs2Yq= qo8J5q6q6+2qY74jiO2Inme5+3onRdnWeljc259Uv4ORpGtY17H8Woqr8L1bnU5ir5MRHZTPdPn= etJMcstNVq9nZ+1bmda2X0y6BjaZc5uV2bupRbrniJ7Jpp60TPHZzHHPofN0PbM1Pe/Q9uLR9Ov= 41i7d1excpu5E1RRPUo5qj5MTPPyo8z2SvoG6Na7lVyrRsiaqp5n/AL7e7/xO97b0DSNt6Ta0nR= MG1hYdrnq26OZ5nzzMz2zP1zMyK6HvXozydzdD2jbNuZ9jH1DS7ONNF6Imq1VdtWptzE9kT1Ziq= rt457ux1ux0R7y1Xo+z9r7t3VjZUW6sevSK7XWuU4824rpmmrmmmZiYqpjvmY4+rt7rujU83P3n= Z0rCuX7GNptrwmfNNVdEVTdpmLcxNMTz1erNXFUxEzMejs65rd/eutZ1i9GHrODHgZt0049FVvw= XhOrz1p5+XVT16O2eI5t3PNPLtRYmr5eeq/jtDquq9EfTBqm3adu5+9tIyNLt00UU49ddziIo46= kcxa57OI879+50Sa/Xruws/wAf0zwe3MbHs5Udevm5Nu5NUzR8ntjifPw7Bcyt5YOhYFjBwL1zx= m1NNyK4u1XLHWimmOZqmaoqpmvv7qot1TERzD6NG1HdOu61gWNS0vK0/CouU5VdUW6rfbFuKvBV= VTPyoiq5THPEczbq7OJ7HJnGcrzo7YeiUqlKuLsAAAAJVPCuidM27I25tmbGLd6uo5vNux1Z4qt= 0/wCdX90dkfXMegHlXTduyNwbknT8S51sDT5mimY7q7ndVV/RxH2c+d5+faKACgAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADdABkAAAADgAODgAOCIi= O4AAAAAfLXp2Bczac65hY9WVTTFNN6bUTXERPPEVd/D6erT6FBMJ1Y9BFMQoKAAAAATPAOLMyLG= Li3cnIuU27Vqia66qp7KaYjmZaqdIG5L26dzZGp1zVFjnqY1uf8AMtx3R9s98/XL0/4Qe6/A41G= 18K5/hL0RczJj/No76aPv75+qI9LxBYABQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAABugAyAAAAAAAAAAAAAAAAAAAAAADG5+yANXemD94+sf62n+= xS6mCgAoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAA//9k=3D" width=3D"793" height=3D"1121" alt=3D"" style=3D"margin-left:-1p= t; position:absolute" /><img src=3D"data:image/jpeg;base64,/9j/4AAQSkZ= JRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBA= QEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAAbAE0DASIAAhEBAxEB= /8QAGwAAAQUBAQAAAAAAAAAAAAAABwUGCAkKAgT/xAApEAABBAMAAQQCAgIDAAAAAAAFAwQGBwE= CCAkREhMUABUKFiEiGCUy/8QAFwEAAwEAAAAAAAAAAAAAAAAAAAECA//EACkRAQACAAYBAwMFAQ= AAAAAAAAECEQASITFBUQNxkfATImEygaHB8dH/2gAMAwEAAhEDEQA/ALAbx6gFUHCruua3rKsFM= MDvK/BjZu2mcwdmDZDW+LBBRGGRYS3M6bOyDrRuPBR8MxTTQatUEUk9Go5nvujzW3N/m+6DizK0= o6FqbmeLnGqRiK1tedm26ftJ0HdJ4cMNZg3jZduPhxR033S3cDFMvXg7ffZF4gi4TUQ1DjUFHp9= 5X/HtX1jtGj+vMdg+QCyRAYpjTcPIbgrE/dUprRB6grn4FnkcMMk5QE13122/asENE9d9lM6ZcD= 3yLdzI0R2hNAl83CT7Urt/ZDeV8go8yOCkS5trYN0fXsL2s8JJW8FS+6+iVIF5XN443LyCQNp+m= OeGmjF21EKI75QhG5S1Va1V6/c29TGEPGOaaqynLmVVZ0n5DeivTHcTv/oqsb6R5H7biswo6/zA= R/JqzMArSmcgqO9I6I2/7l9WUpWKtt1ioVPbRcvGSCSRhmh7190fj11yoSWJnproe4bApHmWTvI= 8ypSLBZX0HfVjy+ekINWmZQyfFYrBQQNjJWDmY2KcCMFpAuLw/Yj4+Eci3pV3osWHN1mF5GZrA7= Y8aNMXvGulpv1VN6i8idFo863tPapzVUrLE5OeZx2YQmOqpxeHpS6OrRAhJ3hMoNE5HkHUc0YPf= sPY5ndB78/T6q4QO8jXAnQBpKuMd1OJVcHPFklXbIKIs0zJaNhVYyylxUkKbIimtiRArWwwuCjT= 9ym5PBZfs5EJqrNXSP4EIxnu/cLlWyzLw+51V+k/SieWm0lBlWaVWINFrrduv8XgftJJ1jV1HVv= 1jM7KK3NyzOZElFJjJGidg1PbVEE3koViI0xY0FdziRMlYo8K/RWXfJP2bwWFLhzLhtuye/Lp4Z= l0nI5b0Xjk+sOi67qGaBq2dW9Zln37c8hDRWBwJogs9xkPH1pgJfTGSKjGrs45HNXrVsGjzfcyT= X0bKoZ3APKsIiPEfgmeePSS5Jp9w972bcZUnz2SeiSk4rlmYsJhVyNlyEKIcO14pXounKlhk+SO= G9m6T82a2RGLrOHCLNKQEAhXKzqy+v8AmbsOrqIlqnW4qt57yjL+icaAa4K27X1QDKoJVgpZSOi= JuEyfdyAFycQmDKMCxYWXL6CcPXbdZv8AhljnC6qN5RDkD8/7d4bCB5IRuhtY5mmq4sdSzfbCGP= uO44dSy/W4XqSOdh8fxmfK17c9h1i9sWBz2jHO0n/q7SdyOJuZiabG63cOXIo8qTaKtSDWEGB0t= y2WH7OstyXOLWuKVTKa11T1hsYKIp6t07h6S6LuGxZ3pU9BVw51eKBnBFgOkCL+Uy6TpCyboJH2= jlsjoOYOHzt1jZRk2dxFuvPcPOXJ9wcqZ6Fqo4968aTzmioPHdI5Nv0TYcBqGVR4hUhu3x12JZZ= y6PxCFi/t2XGSVgJEhI6JtI4D2cInd8M2xUBs4PXAHsnjW3Fa70U7RgNGlucZbeshMwqoLJtujG= IRq7o2cT8SQFbxM0fzFhRuItXxRFscWIk09ESe7RYU/piZxXcdO6y+9b/5gfH4zyRjdXGX25nVM= tCK8Mni67MeOM9GWI3gkxvSuevYx2vR1Rrx9XohjBGVzUzdlHxOULKIjLWVgM2O4cS2tNMprOnZ= Vog2zqIbuSLN07+i7R10HeLWVGpMn0u1eSo/IwY6wK9fRz9wfJyBJk2PVXHXbvIpwYdPlWrIhug= i+2bNlE2m7lRd5hHDh04VVoL6GmthjrX6E6Cv2CVXTF59F8AN/HFzHxTVNsxa47Cswkdlw6Snbq= mOYcq5YgK6r9qL1RZHjCnwiophdu9eNyWGg97dz4co+tE490FFnK/2nEbNUkBXc+u2cOFxFKxwe= strnbGNs6qqN9t9c5xjOdc49cev4yo+SKB+mWxVbb12aGnBi4wgebxxrRjNYqpplRpdxd8YfLn8= j7Cddx9D8v29KRnOz6hO4b8kfLPUcc0dfs6pt6HdDT4jGy01TWV2bLRQ5ursHkGc4SHJs1vcV1w= Owuu31HVX51OrYRChQK+vHVP7qm2g9m3Y2/ypOIJKams7OqOmjWTN9Cb5uTiTQtrjV2okRw4bMs= Lb6Jb7I667Zx8d28w0aZ7f7IMEoP8AYIleqehCRBxiSy9D7D19bcudOl/hbn0kEsquFVFPjRSTS= 093tT000xrrgZxSFMYAJ3AweR2dEAm+m+mREbuO2gw3Gu+ce/2MR81QbJ529c+uyaeu2fXP+fxh= W2h13t3eKp3jVNNN6e3Zv+e8XG+VDyg2VLJXAL769GQytlqaIPpVyF4+4zLh01Oa2a7HOBjG8eg= zwPfA9vvFxzp6lHGDVPVBsu9dNhqi7h0R11hBzj5KeufJO9sWn1Kh5OKB4dCmE7NCrXjsvPAiiT= 2ewyuhDFiPFi5KvkqtI5yFxo6UZoIMmmrt2q8SwjjXeAZfmelz5B0XOxUiaKvVdlnhMtN58RIO1= tv/AEq5ePJQs4XU29Meu6qm22fT/Ofwl0/AYzRBY6cqJEvBS0kCpRw29ESmU7KkAyRoVI27RXD0= y7T02ZyAAENMXSOiTxgUFMXzNwg5bpqajEUUFNn5898GSK5pBKXb1pxtxg82F3r0B4843AZZG6E= 4fizS/GDyRQzepB7/AAamMIDNxjF9MCmG6LMkOBDZ3tKaq3YSDdkUTsOs7FD6CsJRvd85enP3ks= 7b8kGLCqePUFyzPUYtHBUmMwuxGBR63PjnskGR5XUGLeakUipQQkRWPOWaOmj79KLKOGOrhyho2= VhXMaSrifN4k0mYkxJW8Fj5CLRBMtNJu6wAjxWay6xiQphtvI/fo1fTmeTGUOdd9t91S8iJudt8= 5X9NV2rawiNMF8yKqdJJADuXgF/+3jE6nQx/h5GTjORgXGrlCSYV1UFnB7Mk1zrtj2uW+mdsba+= 7XM5IXeUvv56YX0vHd5I2c1rx/wAMSGsLvK7PHu2RUjlJ8PRGeHcif7fC6wikxHTAGIkYnSSwwg= fOLR8WDKDpJHV2RtmzDyQquLSetUCrNg9wogi4OffK71p5AJHKqKWqrlR8xRhD+Yv4/ZwaSn2Eq= QHHY6CRj0aiTBnITEvlaz6SsyDYIEDviqQQaeON0FEwy+uY6WHG2VsRYDCbHISqYxWNkHhIMGNT= eZuG7R883Wyo4331P6OHe6WrhdFlh6s51GtllGo/Vq23yllCqisIZSZ97J6sYk4abJiVQBJ4NlE= qW1IB1iA0v9B60fmnjJ0igYDhzLLK7ZTdgZECy7HduRHM3KLyR00NNTDfHBczEs0Hn5pg6T7ubp= 3x5x+qLAZ8gcm1mn0FGjhYUQhMLNBjaGI0WQYkYrJ13TMWSYlUGD2OSNQFsptq2ESEGq8SbPt1W= rfXr/Fu67nvbvPHWd12GHj8dkX/ACIARHZhGk3Wo3LIDUkNWar41drKrYXUySVwr/v7c4109uMe= mfXFvacXZ3SNbjLaMTexB7A44kg9nLbGsA0gNNvhYwG+IDU3kmUwOVfCw4tq+0ZfAi8+g2WcpKu= EtVfzZ5/FUraF1lyF0YLhAbIRiR6Ry/eIYJFiXzO8VjBm+FflLP36yfoiknp8aSmiX+vu9nvztt= kyR3ovDIRi5gpqr5r+sf/Z" width=3D"77" height=3D"27" alt=3D"" style=3D"margin= -left:441.05pt; position:absolute" /><svg font-family=3D"Times= New Roman" font-size=3D"16" height=3D"16" version=3D"1.1" width=3D"415.95"= xmlns=3D"http://www.w3.org/2000/svg" style=3D"width:415.95px; height:16px;= font-family:'Times New Roman'; font-size:16px" xmlns:xlink=3D"http://www.w= 3.org/1999/xlink"><defs /><g transform=3D"translate(0.1,0)"><g><path d=3D"M= 414.8,0 L3.28,0 L3.28,0 L2.64,0 L2.64,0 L0,0 L0,0 L0,0.64 L0,0.64 L2.64,0.6= 4 L2.64,0.64 L3.28,0.64 L3.28,0.64 L414.8,0.64 L414.8,0.64 L414.8,0 Z" fill= =3D"#000000" fill-rule=3D"evenodd" /></g></g></svg><svg font-family=3D"Times New Roman" font-size=3D"16" height=3D= "16" version=3D"1.1" width=3D"415.95" xmlns=3D"http://www.w3.org/2000/svg" = style=3D"width:415.95px; height:16px; font-family:'Times New Roman'; font-s= ize:16px" xmlns:xlink=3D"http://www.w3.org/1999/xlink"><defs /><g transform= =3D"translate(0.12,0)"><g><path d=3D"M415.7586,0 L0,0 L0,0 L0,0.6412598 L0,= 0.6412598 L415.7586,0.6412598 L415.7586,0.6412598 L415.7586,0 Z" fill=3D"#0= 00000" fill-rule=3D"evenodd" /></g></g></svg>= <svg font-family=3D"Times New Roman" font-size=3D"16" height=3D"41.33= " version=3D"1.1" width=3D"209.31" xmlns=3D"http://www.w3.org/2000/svg" sty= le=3D"width:209.31px; height:41.33px; font-family:'Times New Roman'; font-s= ize:16px" xmlns:xlink=3D"http://www.w3.org/1999/xlink"><defs /><g><g><path = d=3D"M0,0 L209,0 L209,0 L209,41 L209,41 L0,41 Z" fill=3D"#7c7c7c" fill-rule= =3D"evenodd" /></g></g></svg><a href=3D"http:= //www.anatomiadigital.org/" style=3D"text-decoration:none">www.anatomiadigital.org</a= >ISSN= : 2697-3391Vol. 8 No. 2.1,<s= pan class=3D"awspan" style=3D"letter-spacing:-0.2pt; color:#ffffff"> </span= >pp. 19 =E2=80=93 33, abril= - mayo 2025 Revista en ciencias m=C3=A9dicas, salud p=C3= =BAblica Art=C3=ADculo de revisi=C3=B3n bibliogr=C3=A1fica.Conclusi=C3= =B3n. Se evidencia= da=C3=B1o de los nervios </sp= an>ciliados que genera una </spa= n>p=C3=A9rdida auditiva<span= class=3D"awspan" style=3D"letter-spacing:3.25pt"> neurosensorial demostrado en roedor= es <spa= n class=3D"awspan">como en humanos,<= span class=3D"awspan" style=3D"letter-spacing:3.3pt"> se </= span>resalta la impo= rtancia </span= >de determinar los tipos </span= >de facturas del</= span> hueso temporal que genere= n <spa= n class=3D"awspan">peor pron=C3=B3stico = que <s= pan class=3D"awspan">permita ampliar el</= span> panorama en el momento de la intervenci=C3= =B3n.=C3=81rea de estudio general: Medic= ina Humana =C3=81r= ea de= = estudio<spa= n class=3D"awspan" style=3D"font-weight:bold; letter-spacing:-0.45pt"> </sp= an>espec=C3=ADfica:</span= >= Otorrinolaringolog=C3=ADa Tipo de estudio:</spa= n> Revisi= =C3=B3n Bibliogr=C3=A1ficaKeywords:<= p class=3D"awdiv">AbstractHearing loss, HeadIntroduction. The </spa= n>human capability to <s= pan class=3D"awspan">perceive and interprettrauma, Hearing,sound= is given by a = set of structures</= span> such as the ear, </span= >theNoise, Tinnitus.brainstem and the brain. </sp= an>Hearing loss = following </= span>craniocerebral<= /span>trauma, with </sp= an>the middle ear= <span= class=3D"awspan">or cochlea being</spa= n> the most affected,often </span= >goes unnoticed; = primary </span= >audiological deficit does = notonly appear<sp= an class=3D"awspan" style=3D"letter-spacing:0.45pt"> as </s= pan>a result of</spa= n> direct trauma to the <= span class=3D"awspan">inner or middleear, </sp= an>as occurs in<s= pan class=3D"awspan" style=3D"letter-spacing:1.95pt"> skull base fractures = or tears of the centralneural pathways. In the = case of early secondary injury,<= span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> there is</sp= an>an increa= se <sp= an class=3D"awspan">in intracranial press= ure <s= pan class=3D"awspan">in response to= hematomas,hemorrhages or<sp= an class=3D"awspan" style=3D"letter-spacing:0.2pt"> diffuse axonal degeneration.</sp= an> The incidence ofp= ost-traumatic= hearing loss occurs <= /span>in approximately 5-10% </s= pan>of<p= class=3D"awdiv">cases of<sp= an class=3D"awspan" style=3D"letter-spacing:1.1pt"> hearing loss, the = age <sp= an class=3D"awspan">group most affected</span= > are young</span= >people, esp= ecially </spa= n>those who practic= e <spa= n class=3D"awspan">sports or participate</= span> inrisky activities, in <= span class=3D"awspan">addition, workers exposed= <span= class=3D"awspan">to very loudnoi= ses <s= pan class=3D"awspan">and physical injur= ies. <= span class=3D"awspan" style=3D"font-weight:bold">Objective. <sp= an class=3D"awspan">To analyze the</span= > impactof cranial = trauma = on the auditory</sp= an> system and its relationshipwith hearing los= s <span= class=3D"awspan">determined by diagnosti= c <span= class=3D"awspan">tools and earlyintervention.Methodology.<spa= n class=3D"awspan" style=3D"letter-spacing:-0.1pt">Originalstudies,clinical= investigations,= meta-analyses published during<= /span> the five years(= 2020-2024) </= span>with emphasis o= n <span= class=3D"awspan">the diagnosis and<= span class=3D"awspan" style=3D"letter-spacing:0.35pt"> managementof hearing loss </span= >due to head<= span class=3D"awspan" style=3D"letter-spacing:2.85pt"> trauma are included.<s= pan class=3D"awspan" style=3D"letter-spacing:2.9pt"> Results.</= p>Cranioencephalic = trauma<s= pan class=3D"awspan" style=3D"letter-spacing:2.9pt"> <sp= an class=3D"awspan">(TBI) has significant= effects <= /p>on= hearing, which</= span> is evidenced in<s= pan class=3D"awspan" style=3D"letter-spacing:-0.3pt"> several studies. On<spa= n class=3D"awspan" style=3D"letter-spacing:-0.25pt"> one = hand, inmice </sp= an>it shows that</= span> repetitive mild TBI</spa= n> can cause early<spa= n class=3D"awspan" style=3D"letter-spacing:-0.4pt"> neuronaldamage<span= class=3D"awspan" style=3D"letter-spacing:-0.35pt"> although it = does <= span class=3D"awspan" style=3D"letter-spacing:-0.1pt">not directly affect hai= r <sp= an class=3D"awspan" style=3D"letter-spacing:-0.1pt">cells, but causesdege= neration </sp= an>of the spiral</s= pan> ganglion. An accurate</span= > evaluation of<= /span>hearing loss = and exposure histo= ry <sp= an class=3D"awspan">are essential for</sp= an> successfultreatment of<span= class=3D"awspan" style=3D"letter-spacing:1.65pt"> hearing= loss after = TBI. <= span class=3D"awspan">Studies agree that</s= pan> earlyintervention is vital <= /span>to prevent = progression <= /span>to chronic deafness.Esta revista <spa= n class=3D"awspan" style=3D"font-size:8pt; font-style:italic">est=C3=A1</sp= an> protegida bajo </sp= an>una</s= pan> licencia Creative = Co= mmons en la </s= pan>4.0</= span> International. Copia de la licencia: </spa= n><a href=3D"http://creativecommons.org/licenses/by-nc-sa/4.0/" style=3D"te= xt-decoration:none"></a><a h= ref=3D"http://creativecommons.org/licenses/by-nc-sa/4.0/" style=3D"text-dec= oration:none">http://creativecommons.o= rg/licenses/by-nc-sa/4.0/</a>D = i a g n =C3=B3 </s= pan>s t</sp= an> i c <= /span>o M =C3=A9<s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-s= pacing:0.45pt; color:#ffffff"> d</spa= n> i c</spa= n> o<= /span>P = =C3=A1 g i n a </sp= an>21 | 33<svg font-famil= y=3D"Times New Roman" font-size=3D"16" height=3D"16" version=3D"1.1" width= =3D"411.95" xmlns=3D"http://www.w3.org/2000/svg" style=3D"width:411.95px; h= eight:16px; font-family:'Times New Roman'; font-size:16px" xmlns:xlink=3D"h= ttp://www.w3.org/1999/xlink"><defs /><g><g><path d=3D"M412.1587,0 L0,0 L0,0= L0,0.6412598 L0,0.6412598 L412.1587,0.6412598 L412.1587,0.6412598 L412.158= 7,0 Z" fill=3D"#000000" fill-rule=3D"evenodd" /></g></g></svg><p= class=3D"awdiv"><img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgA= AD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFhwXExQaFRERGCEYGh0d= Hx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4= eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCARhAxkDASIAAhEBAxEB/8QAHAABAQACAw= EBAAAAAAAAAAAAAAECCAMGBwQF/8QAWBABAAEDAwAECAsDBgsGAwkAAAECAwQFBhEHEiExExQXQ= VFVlNIIFiJUVmFxgZKT0TI3dBWRobGysyM1NkJSc3WChMHTGCQnM6LDJWJyJkNFRmOjwuHw/8QA= GwEBAQEBAQEBAQAAAAAAAAAAAAECAwQFBgf/xAA1EQEAAQMCBQMBBgUEAwAAAAAAAQIDEQRSBRM= UMZESIUFxMzVRYYHwFSJCodEGIzKxNMHh/9oADAMBAAIRAxEAPwDpoD+lPxQANEosoAAECSqSLK= AKgAkkJPeE94pIACT3Is9yAABAkqkiysBAIkosoKkrHckrHcqACCSEiwACglXmVKvMCEhIIAKAJ= JAAQsJKLKKSACD9HDteCt8z+1V2y+XCtde51qo+TT/W/RYmWK5+BjPeyYz3sswANKAAJKpIAAAD= IAKgAqsZCQPgAlCEqnsYkiNQkosoKMZ7e1ap8zGGKpy1TAksuWNTDeQFpjsIgmQWYRqUhJ7wnvA= AASUVBRJUnu5QYVT5mE9yzPM8pPc5z7ukIkwqpgliLKfZ2osLTT1qo9Dk+5KY6sfWy5daacQ5VV= e76AHocAAaJRZQAAIElUkhZQBUB9uBpebm4OdnY9masbAt03Mi5PZFMVVRTTH2zM931T6Hb+jro= s17fGi3tV0vO02xZs5E4805FdcVTVFNNUzHVpmOPlR/S897VWrNM1VziOzrbs13JxTDoU96PY5+= DxvD1tof5t3/AKZ/2eN3+ttD/Nu/9N5f4tpN7t0N/a8cOXreV8H/AHxZpmbWTo2R6KaMiuJn8VE= Q6JuzZe59rXONc0jIxrfPEXojr2pnzcV08xz9XPLva12nvTiiuJlzr0123GaqXX57kWe5HrcAAI= ElUkVYAESUWU5gWElY7klY7lQAQSQkWAAUEq8ypV5gQkJBABQBJIACFhJRZRSRaYmqqKYjmZ7kf= ZgWv/vao+qlJnDMziH02aIt24pjzd7MHNyGM97JjPeLAA0oAAkqkgAAAMgAqACqxkJA+BJWUSSE= lJhkiNMZRlLCe/hJnCwkx28oyYzDm3EiSqSKR3s0pjiFVBOFFGEwMp704BAQCUVEX4GFc89jKZ4= hxpVKwhCjnhtAEBaKeZ59COWmOIappzOSZSUZVMeJdXPD6QHVxABolFlAAAgSVSSFlHPp2Hlajq= GPgYVmq/k5FyLdq3T31VTPEQ4GxXwZ9gzh4kby1SzHh8imY0+irvotz2Tc+qau6Pq+15Nfq6dLa= mue/wAO+msTfuRTD6N57OxdlfB71LTbc03MqvwNzLvRH/mXJuUc9v8Aox3R/wD3L7fgm/u6zv8A= a1z+6tP3/hDTHkk1iP8AVf3tL8D4Jv7us7/a1z+6tPy1Vyq5oaqqu81f+n26aIo1VNMfg9T1vVc= DRdMvanqeTTjYlmIm5dqiZinmYiO765h1WOljo9nj/wC02L+Cv3XF0/8A7pNc/wBXb/vaGnTpwz= hlGstzVVMxiWdbra7FcU0w3m0Ddm29fqmjR9bwc2umOardq9E1xHpmnv4+5+nnYuNnYl3GzLFvI= x7tM03LdymKqao9ExPe0MxMnIw8q3lYl65Yv2qoqt3LdXVqpmO6Yluf0S7hvbo6P9L1fJqpqyq7= c28iYjjm5RVNMzx5ueOfvcuI8MnR4rpnMNaTWRqM01R7tcOnfYNGy9ft39Opq/kjP5qsRM8zarj= 9qiZ9HbEx9U/VMvN23PwktMtZ/RVnXqrcVXMK7ayLc+emetFM/wDpqlqfpUzTqeLNNm1fmL1HFu= 9zNFfyo7KuO3ifPw/QcJ1VV/TZq7x7Pl66zFu9iO0vedP6O8Kvoyo29XoVVWu5GlVanGp+Kz1aL= vXiqjH8Jx2VdXsmOfNM+d0jb3Rxo2dtjb+rapum9p97XMivGxrNOnzdiLkXJoiJqiuO/iPNHe9K= ubc6b691U6/Tq2k0RExP8n05t6MTiKerx4P0T39/f2vl1HY3ShmWtIteKbUsW9J1CvPxrdm7din= wlVybk0zz/m8zMREcdnnfJt6qujMc2Pec9/r7f9PbVYpn+ifb2dH0Dojrz8/VsHLz9Qt3NPz6sT= wuPp/hbVcRETFXWmunie3mae3jsfp6T0c7Z0zTd9YW48+u5l6NNiLeXasVT4CiunrU3Ioiviqau= eJpnu6vf2ubeWsdJG0IzLm5Ns6Jm6fnZ3jkVXLNV6xavcRT8maa4mn7Kvr4878nae6N+7n3BuTU= 9I21pesRqduxTqWHctc2OKKerbmIqrie6mrzz5/q49M16u7RNfrj0+3aY/JyxZomKfT7vjwejrQ= 6NO0S/rW6b2De1+5VTptu3gzcjq9aIoruT1o463NPZ5ut9U8fTp3RRh0xkU63uSvBu29bjR7UWc= KbsXblUUzRVz1o4iet9z5r2+Nz7UvWdC1vbeiXcrSrs3cOnMx+vXhTX8uIommrjiOYmO/js9Ecf= i0dIm4PFqbV+nEya41mjWartyietXfpiOIniYjqdndERPomHoijX1xmmr2+sf2/RxmrTU94di3H= 0V4Gn2cy5p25pz69O1CxhZ1m5gzamibtVMRMT1pir9qP1fqal0c0a/u/WsOa68K1pVy3i0fyZpE= eBqiaIq5nm5z1uZ7eZqn6+50zL6SNcyKtXm5i6fH8rZtnMv8AFuv5NdqYmmKfldkT1Y555+52La= 28d87o1DW7OnbY0fXIzr1Gbk4l6zM27VcUxRFVPNcT3RHfM/c5XLeuop9VVXb5zHzhuivTVTiI7= uldI21ruzt15GhXcujL8FTRXRepo6nWpqjmPk8zxP3y69Hc7V0sZu4s/eV+/ujTLGnal4K3TVYs= xxTTTFPyZ/aq831v1dS6JN1afs+rdF+5p04NONTkzFN6qa+pVETHZ1e/tjzvqWtTTRao51UZn+7= x12Zqrq9Ee0OgAPY86SEuy9H+ydY3vn5OFo1eLTdx7UXa/D3Jpjjnjs4iWLl2i1TNVc4iG6KKq5= imnu60P2d6ba1HaWv3dF1WbE5NqimqqbNc1U8VRzHbMR6X4zVFdNymKqZzEs1UzTOJEq8ypV5m0= QkJBABQBJIACFhJRZRRnZom7ciiPv8AsfqUxFNMUx2RHY4cK14O11pj5VTnYqlyqnMgDLIxnvZM= Z7xYAGlAAElUkAAABkAFQAVWMhJIfCSIqSsAIglUsOGVU9qcszLpEIKkwipwcKSQSACZABUnvRZ= 70CA4AVEmGTGqeIQYVT2sPOySYYlqEARUAjtngwZZW457XIkRxHBzx3ukRhMkosoqPoAdXAAGiU= WUAACBJV9eiaXm61q+LpWnWpu5WTci3bpj0z559ER2zM+aIZqqimJqntDURMziHcOhLYte9N00+= M0VRpOFMXMuru6/+jbifTV/VE/U2+tWrdm1TatUxRboiKaaaY4imI7oh1/o72rh7P2xjaNh/Kmj= 5d+757tyf2qv+UeiIiHYrlNU0TFM8Tx2TL8NxHWzqr2fiOz9NpNPFi3j5+XgXwot60xTRsvAuc1= VdW9n1R5o76Lf/wDKf93637/wTv3dZ/8Ata5/dWnUel3oks6Lt/Vt3X9w5efmeEi7cpuWaaYrqr= riJ7Yns/adu+Cb+7rP/wBrXP7q09t+bP8ADoi1Off3+rzWuZ1ea/wdl6f/AN0euf8A0W/72hpy3= F6f/wB0muR/8lv+9oadPof6f+xq+rycV+0j6Daj4LMV+TOvr89X+ULvU+zq0f8APlq/p+Hl6jm2= sLAx7uTk3qurbtW6Zqqqn7Ibo9Fm3Lm1th6Zo1+KPGLVua780zzHhKqpqq7fPxM8c/Ucfu08mKP= nJwqieZNXw+bpr6kdFm4ev3eKTx9vMcf08NN9I/xrh/6+j+1Da34Smq2sDoszMeqvi7nXbdi3T5= 6vlRXP9FMtUtI/xrh/6+j+1DHA6ZjTVz++zXEpib9MN1OkvW8vbexdT1vAptV5OLaiq3F2JmiZm= qI7YiY9PpeCYPwhN228u3XmabpF/HiqPCUUW66Kpjz8VdaeJ+viXtHTt+6XX4//AEKf7dLTXlw4= No7OotVTcpz7uuv1Fy1ciKJbx41ek732Xbu1Wqb+nariczRVxPEVR2xPoqpn+aYeC9COl720ncm= 6tJ2xe0SL+Feox8urUKbkxV1a7kUzR1Psq7/qeudAGNkYnRHodvJoqorqouXaaZ/0a7tdVM/fEx= P3ut9C1dFzpV6SKqOOPHqI++K70T/S8NqqbVF63T7xH+Xprp9dVuqe/wD8eI9MFjX73SZnY+s04= l/V7k2aaqcCmubdUzbp6sUxV288cfe7BonQPvjUcSnIvzpunTV3Wsm9V1+PTMUU1RH8/L0fRNLx= 874UOu5d+iK5wMK3dtRPmrm3bpif5pqfJ8InpF3HtjXMLRNAyacPrY0ZF69FumqqrmqqIpjrRMR= HyZ83n/n+nTrtRXy9PYxE4h4p01qn1XbucZdSn4PG8PWuh/m3f+mw6GdG3noe/twaNt6/ok5+Ha= 8Fk15nhJtVRFcfsdWOe/08PSfg37p17dOjatf13UK825YyKKLc1UU09WJp54+TEPzeiT9/e/Ptq= /vIcLur1E03bV6Yn0x+H5w60WLUTRXbzGXQt3bN3fvbpfztH1HK0W3q9vBoyLldqblNiaIiiIiO= Ymrn5Uebh7zuHbObqPRZc2pZvY9OZVp1vFi5XM+D61NNMTPMRzx2eh4T066/rG3OmnUM/RM65hZ= NWHZtTXRETM0zTTMx2x6Yj+Z7VurV9SxOhS5rePmXLeoxpVq9F+IiauvNNMzV6O+ZcdVzposTGM= e2Pq3Y9EVXInv8tcd49GGubW1nRtLz83Trt7V73gbFVmuuaaautTTzVzTHZzVHdy7THweN4T/+L= aH+bd/6bote4t57x3BpVq5n5Oo6nZvx4hHVp5ormYnmOIjz0xPb2dj3HE2f0212KK8jf+HYuT30= RHW6v1c+DfT1Wo1Onppiq5TE/P7w8di1ZuzMxRMw803J0Gb20fTq8614hqdNuOa7eJdqm5EeeYi= qmOfsjmfqfvfBE/ys1r+Bp/tw9v6PdO3XpmlXsXdusY2rZHhetZvWqJpmKOI+TV2R5+f53mvQvY= tY3TnvqxZoii3TVc4pjujm7y8FXELmo0923cmJx8x9XqjS0WrtFdPtl5v8Jj97Wd/D2P7EPNHpf= wmP3s538PY/sQ80foeG/wDi2/o+Vq/tqvqJV5lSrzPc86EhIIAKAJJAAQsJLmwrPhLvWq/Zp73D= xM1RER2y/Ux7cWrUU+fzkzhmqcOSUWUc3IAAYz3smM94sADSgACSqSAAAAyACoAKrGSe4knuRWK= opCQMap4VjPektQhMAy2ncvIiC8dqSpKiAAAIMZ7xZ70FiQAUcVc81M654jhxyzKgDOCEk4UGss= WVuOO1IjmeHJDVMM1SANJCTCLKA+gB1cQAaJRZQAAIGy/wbtgxo+lRunVLURqGbb/7tTVzzasz5= +PTV3/Zx6Za36bk04efYy6sazkxarivwN6Jmivjt4q4mJmPveqf9oHedNMU0adoNMRHZxj3ez/9= x8rilrU36OXZj2nu92juWrVXruNit367iba25m61mz/gsW1NXHnrq7qaY+uZ4j72ts9Pe+pqmYp= 0uI57I8WmeP8A1PwukDpQ3JvXTLOm6pRg2Ma1d8L1cW3XR16oiYjrc1TzEcy6O8/D+D00UTOopi= ZddVxCqur/AGpxDv8Au3pc3ZubQcjRdSjA8VyOr1/B2Jpq7KoqjiefTEPYPgm/u7z/APatz+6st= YHfOjzpS1/ZGi3dK0rD02/Zu5FWRVVkW65q600008fJqiOOKY8ztr+HxVp+Xp6Yj3y56XVYveu7= Pw251XTsHVcC7gali2srFu8eEtXaYqpq4nmOY+2Idfjo62LHExtTSPvxqXhX/aF3l6r0L8m7/wB= RJ+ELvH1ZoX5N3/qPiUcJ11PtT7fq+lVr9NV3/wCmxmj7f0LR5qnStIwcGqqOKqrFimiZj0TMQ+= nU8/D0zAu5ufk2sbGs09a5cu1RFNMfa1e1Hp731lWposRpWFP+lYxpmr/11VR/Q6JubdW4ty3Yu= a5q+Vm9Xtporq4opn6qY4iP5nW3wLUXKs3Zx/dividqmP5Idn6cN/fHbcNNOF16dJweaMaKo4m5= M/tXJ+3iOI80fXMujaR/jXD/ANfR/ah889yUzNNUTTMxMTzEv01rT02bXKo7PjV3ZuXPXU3t3To= mHuPQMrRc+q5GLlURTcm1VxVxExPZPb6Hn2J0DbEsZNu7XGpZFNE8zbuZPyavqniIn+lrHGu636= 51H2mv9Sdd1uY4nWNQ4/ia/wBXw7fBtTaiaaLuIn6vpVcQs1zmqjLb/pF3pomw9uVVVXLEZFNnw= eFhUTHWrmI4piI81MdnM+aPuh5f8EnIu5Oqbqyci5VcvXfF67ldU9tVUzdmZn75eBXbly7XNy7c= ruVz31VTzLlw87NwpqnDzMjH6/HW8Fdmjnju547/ADvRRwaKNPVbir+ar5c6tfM3YrmPaPh7vqu= 7MXaPwmdTzNQueDwcqzaxr9fHMURVbtzFX3TTHP1TLvnST0caH0kU4eqWtUnHyLdrqWsnH6t23c= tzPMcxz2988TE+fztWtAxLu491abp2XmXfCZ+Vax6r9czXVT1qop57Z7eOe76nvWJ0A3sSmacTf= Wfj0z5reP1f6rjx6yxb0tVExc9NcR+Dvp7tV6mqPRmmZd66Jdg29g6fm4lvU69Q8bu03Jqqs+D6= vEcccczy6Z0Sfv6359tX95DuWz9DwujXbOdd1jct/Ntzcm9cycuvq9WIp4iimJmfRPd2zMtUtzb= iydR3dq2t6ffycOM7KuXaYouTTV1JqmaYnifRw4aPT16uq7HqzmO/6uuou02Io9u3w7d8Jqf/AB= Zzf4ez/Yh77oWPg726GcLTreX1LWbpdvHruW+KptVxTETHHpiqO76mnWVkZGVem9k37t+5PfXcr= mqr+eXLhZ2dhRPieZkY/Pf4K7VTz/NL69/hdVyxboirFVLwWtbFFyqqY9qntej7PwuiXpT21k6r= rlrLx87w9vw04/gqbNXU6tMz8qrvmqI57OHq/SVtHWt114VzRt45uhU2KaorpsRM03eeOJnq1U9= scT6e/wA3n09zc7NzerOZmZGTNHPV8Lcmvjn0cy5cfV9Wx7cWrGp5tq3T3U0ZFVMR90S5XuF3rl= VNya/5o/JujW26ImmKfafzbj9Ge1tX2thZljV9z5OvV37kV27l+Kom3ERxxHWqqdB6If39b8/+q= v8AvYa8TruueudR9qr/AFcFnUdQsZFzIs5+VbvXf/MuUXqoqq+2YnmWKODXMV+quM1R+DVXEKc0= 4p7PQvhMfvazv4ex/Yh5o5MnJyMq9N7Kv3b92Y4mu5XNVU/fLjfa0tmbFmm3M5w+deucy5NX4iV= eZUq8z0OaEhIIAKAJJADK1RNy5FEechX0YFrmrwtUdkdz7UopimmKYjiIZMTOXGZzKSiyiIAAMZ= 72TGe8WABpQABJVJAAAAZABUASVVCQkVioiJCVSxWe1GZagFRFyEKiqEgggvCSNZABMJPeiygAJ= VJKsKu2eUZJLm2nCKAgcLTHM/UBTHHayU4dGEAFhJRZQR9ADo5AA0SiygAAQJKpJCygCoAEkJPe= E94EiKAk9yLPcgAAQJPcqSKytV127lNy3XVRXTMTTVTPExMeeJfb/LOr+tc72iv9XwwMzRTV3gi= qY7ObMzMvLmmcrKv3+r3eFuTVx/O+dZRYpiOyzMz3SVjuSVjuaZAEEkJFgkAUEq8ypV5gQkJBAB= QBJIR+hhWupb69UfKq/oh8uJa8Ld7f2Y7ZfpMzLFU/CgMsJKLKAAAMZ72TGe8WABpQABJVJAAAA= ZABUEmFFViSSSCMap8ysZ70lYQBGl8yLPciILxKMlViMphEVAAJRU4RYE4UBjPYwZ1T5mPDMtQg= JwirwxXkMCM6Y4hKI5llMLTBKcqxOWmMrKEgpKcKCOYc3imX82ufhk8Uy/m9z8Ms9Ra3R5OTc2y= 4RzeKZXze5+E8Uyvm9z8J1FrdHlrk3NsuGUc84mV82ufhTxPK+bXPwnUWt0eU5NzbLhHN4nlfNr= n4TxPK+bXPwnUWt0eVizc2y4Ulz+J5Xza5+FJw8v5td/CRqLW6PK8m5tlwDn8Ty/m1z8MniWX82= u/hleotbo8pybm1wDn8Ty/m138MnieX83u/hlOotbo8kWbm2Xzz3jmnCy/m138MnieX82u/hleo= tbo8nJubZcI5vE8v5td/DJ4nl/Nrv4ZOotbo8nJubXBPcjnnDy/m138MniWX82u/gk6i1ujycm5= tlwDn8Syvm138EniWX82u/gk6i1ujyRZubXAkvo8Syvm138EpOFl/Nrv4JOotbo8rybm1wwOfxL= K+bXfwSeJZXza7+CTqLW6PKcm5tl88o+icLL+bXfwSeJZfza7+CTqLW6PK8m5tfNKx3ObxLL+a3= fwSsYWX82u/gleptbo8pybm1wD6PEsv5td/BKeJZfza7+GU6m1ujycm5tl88jnnCzPm178EniWZ= 81vfglY1NrdHlZs3NsuAc/iWX82vfhk8Sy/m178Er1FndHlOTc2y4EnzPo8Sy/m178Ek4OZ82vf= gk6izujycm5tl8w+jxHM+bXvwSTg5nza9+CTqLW6PJybm2XzD6PEcz5re/BKeI5nzW9+CTqLO6P= K8m5tl869szxEczL9vTNobq1PG8Z07buqZdjrTT4S1jV1U8x3xzEP0sLo+3rFc117U1mOO7nDr/= RidXYj+uPJybmP+Mvxce1Fq3FPn88uV2H4i70+iuseyV/ovxE3p9FtY9kr/AEY6uxvjy5ci7tl1= 0di+Iu9PotrHslf6HxE3p9FtY9kr/ROrsb48nIu7ZdclHY52JvT6Lax7JX+ifETen0V1j2Sv9Dq= 7G+PJyLu2XXR2L4ib0+iuseyV/ofETen0V1j2Sv8AQ6uxvjyci5tl11j53ZfiJvT6K6z7JX+jH4= h71+ius+yV/odXY3x5WLFzbLrg7H8RN6/RXWfZK/0PiJvX6K6z7JX+jXV2N8eV5FzbLrg7H8RN6= /RXWfZK/wBD4ib1+ius+yV/onV2N8eTkXNsuuI7J8RN6/RXWfZK/wBE+Ie9forrPslf6L1djfHk= 5FzbLrg7H8Q96/RXWfY6/wBD4h71+ius+x1/onV2N8eTkXNsuuJy7J8Q96/RXWfY6/0PiHvX6K6= z7HX+h1djfHk5FzbLrg7H8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHlORc2y64Ox/EPev0V1n2Ov= 8AQ+Ie9forrPslf6L1djfHk5FzbLrQ7J8Q96/RXWfY6/0Sdh71+ius+yV/onV2N8eWuRc2y61Pe= nDsnxD3r9FdY9kr/Q+Ie9forrHslf6HV2N8eTkXNsutTHZ2I7N8Qt6fRXWPZK/0Sdh71+iuseyV= /odVY3x5Xk3Nsut98I7J8Q96/RXWfZK/0T4hb1+ius+yV/odVY3x5OTc2y64yh2H4hb1+ius+yV= /ofEPev0V1j2Sv9DqrG+PJybm2XXkl2P4ib0+iuseyV/oTsTen0V1j2Sv9DqrG+PJybm2XWx2P4= h70+ius+yV/ofEPekf/lbWPZK/0Oqs748rybm2XXB2L4ib0+i2seyV/ofETen0V1j2Sv8AROqs7= 48rFq5tl1ye9JniHZJ2JvT6K6x7JX+jjq2PvLnj4r6v7JX+h1VndHleTc2y66OwfEfeP0Y1f2Sv= 9D4j7x+jGr+yV/ox1FrdHleTc2y6+xdi+JG8foxq/slf6J8R94/RjV/ZK/0Ootbo8nKubXXk4dh= +JG8foxq/slf6M6NibzqjrRtbV5j+Er/Q6i1ujycq5tl1+I4jgl2P4ib0+i2seyV/ok7E3p9FtY= 9kr/RrqbO6PJyrm2XW+xOHZPiJvX6K6x7JX+h8RN6fRXWPZK/0XqbO6PKcm5tl1yCYdj+Im9Por= rHslf6HxE3p9FtY9kr/AEOps7o8nJubZdbHY6tib0+iuseyV/onxF3p9FdY9kr/AEOps7o8pybm= 2X6PAD8C/WgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD79v6Vla5rWLpOHTzfybkUUzPdT= Hnqn6ojmZ+x8D3n4P20/ENKr3Hm25jJzKerjxPfTa/wBL7ap/oiPSg9G25pGJoeiYulYVHVs49E= Ux6ap89U/XM8z979EiOBAAAAAAAAAAAAAAAAAAAAAAAAAcVc8yzrniOzvcYJwjIBiLwgJMCgIkx= yvADHjhO9mkwDHhGRwDDgZcJPcDivVdSjmO/wAz4/O5r1XXrmfNHZDjmBWExDGaWcwA4+IThyTD= GY4US3RNdcUx53300xTEUxHEQ48S31aetMdsudFYpLLhBEJXhBMJwjJOBUlOIZSgNRAGkAAAAAA= Dl+1tbFx9Qp1PT68eLmVcw6rmHVH7VNy3MVzEfbRFcfbw7PG29OqysKIxaJtaPdm1rU01TPhOra= 8NVM+jmabtv/dp88g8+OXctH0zS8/B03WrmNTRj4l3I/lK1RMxE00R4W3H1daJ8H/ux5zWNP0rS= 8bUNWoxaLuPlZdidNtXJnjwVVMXq/t4iaKJ+2QdNHoVe2NPs39QsXMejjVbtVGi1TVPyafBeGpm= PTz17VH31eh1nc2HaxKMLDx8Oqi9i4VurOucT23bny+30cRVRT9sA/Dct+xXZtWrlVdqqLtPWpi= i7TVMRzMcVRE80z2d08T53bNcr0jQ8qNCo23j5seL26qsu7cuReu1V24q69E01dWKYmeyOrPZHa= 59O0HTM7L2xau0UWreRpt7JyO2qJvVW670xE9WJntiimPkxzx3RyDo47nuCjbuVoGVkY06Rayse= qjwP8m2sziqJniabk3aer3czE8xPZL9CbG36922tq29vYtFrJot0VZc3Lk3qLldqKutT8rqxETP= dxPPH1oPPHLTYrnFqyYrtdSmuKJpm5TFfMxM9lPPMx2d/HDsmLGnaNtfT9Tu6NjapkZ927FVWVN= fg7NNuYp6sRRVHyp55mZn0cQ4rmLh5e2NSzsbTYxrs6pYt2bfXmubdFVFyepEz2zHMR39vZCjrZ= //ALveh5ek6VXpuqadXjaFZzcDDru8Yd3IuZFuu3x1uvXMTant5iY5757H5moXNK0W7i6RG2cbU= PCY1m5cyrly5F6/NyiKubU01RTTETV1Y7J/Z7fOg/A1XSbun6jn4dV6xXOFX1a6puRTNfbx8mmZ= 5n7I5fnO77ixMa/rO9712x1rmNMVWZrj5VEzfopn7+JmHz6jc0rRqsTSPi1j5/hcazcuZNdy7F6= 9NyiKubUxPFMRNXEfJnu7QdVosV141zIiq1FFuaYmJuUxVPPPdTM8zHZ2zEdjG7buWa+pdt126+= Inq1RxPExzH88TEu5a1p+nadc3Jes6faqjT9VsUWbV6KpiKObnNE8TzxPViJ7eezvfRr1yjWt5Y= uJRomk26LOLZyL1XhLlqmq3GNRXPhKpqniimO7jieI75lR0S1T4S7TbieOtVFPP2vs3Bptej65n= aXcu03q8W/VamumniKppnjnh2jcmHpdzRcPVcG3pVF2jUIxq503w8WqomnrcT4aP2o476eztfl9= I1q7O+NfvRbrm1TqF2ma+rPViZqniOfT2T/Mg66cw7xqEaNo+uWNufFrHz7dUWabmTcruRfvTcp= pnrUTTVFMR8rsjie6OUu4Gk7ewtduXtOx9WvYOrxh49V+qqKOrxc5mqKZjn9mOznv+xR0gdy1W5= pOheJafO3MTUJycW1k3ci7cuxXXN2mKuLXVqiKYp56sTxPbHa/I3zh42n7sz8PDsVY9i1XEUW6u= +mOrE8T9YPxAAAAAAAIiapiKYmap7ojzg7P0Z7Xubq3RZwqomMO1/hcqvjuoif2ftqns/p8zaax= at2LVFq1RTRbopimimmOIpiO6Ih1Dom2rG19sW7d+iIz8ri7lT54njso/3Y/pmXcmQAAAAAAAAA= AAAAAAAAAAAAAAAJEq5nsBhM8zyizCAnHApwCBMAJMIyAYizCAgpwCJwoDFxX6urTxHfLmmYiOZ= fLXM1VTIsOLhJhnwgrCYSYZzCcA42Vqjr1xHm86zD6LNHVo+ue2RJZ+bgAQAFSYRkTAMeEZIIgv= CA1CAaAAAAAAH06ZnZemahY1DBvTZybFcV264iJ4n7J7J+9z2Na1Wzb1C3azblNOpRxlxxE+Fjn= rdv3893pmPPL88B9mJqediadmafj5E28bNiiMi31Ynr9Weae3jmOJ57jN1PPzcHCwsrIm5j4VNV= GPRMRHUiqeZjsjme30vjAfoX9b1a9Vp1VzNuVTptNNOHzEf4KInrRx6e30+iI7ohlk65q2RVqU3= s2uqNTqivMjiIi7MVdaOeI7OJ9HH8z80B+zjbp3Bj4EYVnUq6bVNE26Jmimblumf82muY61Mds9= kTD469W1KqcGrxuumrAo6mLVRxTVajrTV2THE99Uzz39r4gH6usbh1nVrMWc7M69qKuvNFFui3F= VX+lVFMR1qvrnmXDTrGpU6zb1inJ4zrc0zRd6lPZNMRTT2ccd0R5nwAP09H1/V9Js12MHL6lmue= tVauW6blHW7ut1a4mIn64jlx5WsanlWsi1k5ly9Tk36ci9NfE1V3KYmIq63fHEVT2cvgAfuZO7d= w5Niuxe1GaqLlubd3i1RE3aZiYnrzFPNc8T31czHmYYO6NfwsGjDxtRqptW4mLczbpqrtR6KK5i= aqP92YfjAPvv6zqd+5n3LuT1q9Q48amaKf8ACcVRVHm7O2Ins4dq0TOro0nEt0b6x8TGooiK7d7= EqnJx/wDSptVRRVMR38cVU/ZHa6MA/Y1/XcjUNQ1auxVVbxNQy/GJtVUxM9k1dTme/mIqnuSNya= 3FWDXTm9W5gUdTHri3RFVNPHV6s1cc1Rx2cVcxx2PyAH6up7h1jUrUWszLiu1Tcpu026bVFFFFV= PPE000xER+1PZHf5+XHn65q2dby7eVmVXKMzJjKv09WmIruxEx1uIjs757uIfnAP2sPde4cTDpx= MfUq6bdFPUt1TbpquW6fRRXMdamPqiYfmxnZcadc0+Lv/drl2m9XRxHbXETETz391U9j5wHd9v5= 1y3o+Nas73xcKxRH+Es5OJVVex557fAzFFX2xxVT2+h1zdmpWtY3JnalYpuU2b92arcXP2urxER= z9fEdr8sAAAAAAAel9A2051fXp1vMtz4np9UTb5jsuXu+I/wB3v+3h5/o+n5WrapjabhW5uZGRc= iiiIj0+efqjvmfREtr9paJjbd0HE0nEj5Fijiqvjia6v86qftlJH60RxACAAAAAAAAAAAAAAAAA= AAAAAAABLGFn0AITCgjCYRmkwKxOFnsQEFJgESYUBOEZJwCJwqVTERMyDhvzPHVj73C5J5meZ70= mIkWGEpMMpiUFY8Jwz4SY8wFmjrV8z3Q+hLdPVpiPP52QyicLMAMRknAIAAnCgqIyOAa3+TPfHq= K5+db948me+PUVz8637zaAXKNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ74= 9RXPzrfvNoAyNX/ACZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaA= MjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXP= zrfvHkz3x6iufnW/ebQBkav8Akz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8me+PUVz8637x5M98eo= rn51v3m0AZGr/kz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8AJnvj1Fc/Ot+8eTPfHqK5+db95tAGR= q/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51= v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/wCTPfHqK5+db948me+PUVz= 8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me9/UVz8637zaAMjyro= T2Hl6FdydY1zGiznTzax7c1RVNFP8AnVdnZzPd9kT6XqpxHogQAAAAAAAAAAAAAAAAAAAAAAAAA= AEmFBEADIAGE4SYZAZYIzmEmBWKcMkBBU4AcN6fldWO5yV1cRy4e8GKTDLhBWKTHLNOAYcSzs08= zz6CI5nhzU08RxAJwKCMTheAGIpwDHhJZAMRZhAAAfoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgpwJ7oEwAAAnDGYZgMEZTDC52QK4655q+qGEw= zlAYDKYSYBjMehGREczwC2qe3nj7HIccAInDIBiLwnAJwjIBicLwgIKkwCcHCgPuAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOAEwkwKSCAgo4q= p608s657OHHwJhJSWRwKx4RlwnAMeGVuniOfSRHayAOABBU4AABJhGQDEXhASUZJMAnBwqA+0AA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJ= 445VjX2iYYTzyjJOBWPBwoDEmF4POBTCgCcIyAYi8IAnCgIKnACKAnCMkQQ4ZU0zVVEQ5vB0ehR= mAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= ABMseFnvBGMwkwzSYDLBJhnMJwKxWIAE4FAQJAE4UBOEZJwCC8IBwigIkspgopmqrjzA5LNPEcz= 3y5OfqAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAABJVJAAAAEwJMKAxmE4ZpwKwFmAEOABOOBTgEAASYUBiMkmARzW6eI+1x245q+qHNAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAg= nHCn3ggqcCgAAAgnCgMOEZpMCsRZhACYAEFSYABlbjmeQZ0xxCgAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJg4SVAQAXIAGAATCJ= MMgMsOEZ8JMCsRZQDjlyUxxHEJRHnZAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACJMCgIHCCqAAAInCcdrIgFAFAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAO04ARBUDIAKR2qQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHHaAmAAUAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAmU5fkbu3Hpe19LjU9YvV2cTwlNublNE19WZ7= uYjt4YbZ3PoW5sa5f0LU7ObTa4i5FHMVUc88cxMRMd09/oa5dfp9WPZiblMVenPu/a5OWq1vpe3= roOu5+PGfb1DGt5VyKbWXR1uIiueyKo4q7vrbI7M1ivX9radrNePGPVmY9N2bcVdaKZnzc+d6dV= obumiKqu0vNptbb1EzTT3h+z5uSJ5dO6Yd31bI2Hm63Zooryommzi0V/szdqniOfTERzPHn4eDb= L0bpw6QdMr3HibvvYWLeuTFqq/m3LNN3iZiZoot0zEUxMTHdH1PI9jarkeG5WD0j7J6MLtOq9IG= lYesXdXpqt6hm3671qLE2uPBc3LVUxVNVMzx1fv8z07B3Fp+kbJ0nVNzbg06nwuHZm7m1XIotZF= ybcTNVHMRzFU8zEREdnmgHZB1XTekXY+pVZFOBuXAyJxsevJvRRXM9S1RHNVc9ndEPmp6Vejqqq= KY3fpfMzx23Jj/kDuY+LK1fS8XSf5WydRxLWn+Di541Xdpi11Z7qutzxxPMPwNN6SNi6nqFjTsD= c+n5GXfri3atUVzM11T3RHYDtg8p6LN1alas7l1DeG/ND1jBwq7c0V4nERiUzVXExc4tUds/Jj/= O7pdlsdKXR5evUWqN36V1q54jrXurH889kA7iJTVTXTFVMxVTMcxMd0qAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADy/wCE5+7G= 5/F2v+bqXwR+7c3/AA3/ALrtvwnP3Y3P4u1/XLqXwRv2dzf8L/7r7Vr7sq+v+HxLv3jT9Hie5P8= AKHUv4u7/AG5be9EP7sdv/wADR/U1C3J/lFqX8Xd/ty296If3Zbf/AIGj+p6uNfYW/wB/Dz8H+3= ufv5dD+GBjX7/Rfi3bVM1UY+qWrl3jzUzbuUxP4qoj73Yvg46jg53RFotvEv267mLbqs37dNUTV= briursqjzc9/wBku5bm0TT9x6Fl6LqtiL2Hl25ouU88THniYnzTE8TE+mHgWb8GOvxu7Vp28PB4= 8zzRTew5muI9EzFcRP28R9kPzb9G7V8MCf8Awtxv9q2v7u68d6UMvJzNf2Fpl/TsnVMTH29p82s= C1VVE5M1URNUR1YmeZ4insjn5L1ijoLyqejC9s6rc1mq7c1enUIyZxZ4iItdTqdXrffzz9z9je3= Q1i7k0Lb1q1rN7Tta0TBs4lrOtW+YrptxHHNPWiY7YmYmKuznzivP9sY2NOi7xrp6KMzaVdvbGf= NObeuZExXPUiPB/4SIjmYmZ9PyX42wdibY1b4PmvbozdPmvV8SMmbORF2uJp6lFM09kTxPb9T1H= QeineGLa1bH1jpFzNWxtQ0vJwabN6m5VTRVdo6sXOJrmJ47X6u0+jK/oXRJquxatYt37mfF+Iyo= sTTFHhKYj9nrdvHHpEa769m5eR0NbD0i7l3KMK/qGb4Tmrsjq3KIp/m8JXx9rZTbnQ/sHRM7C1L= T9GqpzMOqm5avVZFyqrrR3VTHW45+516joP0/J6LsTZ+p6rNzKwsi7kY2fZs9WaJrntiaJmeae7= mOY7o7YfPszoh3hoGv6Zm3ekjPzMDCvUVThzF2mi5RT/mcTcmIjj6uAeadE2p6JpG0OkrL3Fg1a= hp/hseivFprmnw1U3LvVp5ieYjrcdvoj7nXN3VafnbOu52n9EWZodiuKLlrVqb+RctUUzVEd9VP= VmKu7v75h7hoHQZbxNu7o0XUtc8Yt65ctXbdyzj9SrHrt1VVUzxNU9btqj0d0+l+Fe6BN23dH/k= W50l5NemRTFEYlVi5NrqxMTEdXwnHETEcfYD0noAy8jN6H9u5GVdqu3IxqrfWq7+rRcqopj7qaY= j7ne3XOjPbde0Nkadty5l05dWFTXTN6mjqRX1q6qu7meP2uHYwAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAeX/Cc/djc/i7X9cu= pfBH/AGdzf8L/AO67b8Jz92Nz+Ltf1y6l8Ef9nc3/AA3/ALr7Vr7sq+v+HxL33lT9Hie5P8otS/= i7v9uW3vRD+7Hb/wDA0f1NQtyf5Q6l/F3f7ctvOiGf/DHb38DR/U9XGvsLf7+Hn4P9vc/fy7NnV= 1W8DIuUTxVTaqmJ9ExDVLYm6OnPe3js7d12rIjCqoi914x7fV6/W6v7VMc/sy2r1P8AxZlf6mv+= zLX34Fn/AJW7P9Zi/wBV5+bfo4fNsTpR37t3pKs7Q6RqvC05N2ixVNy3RFdmqv8AYrpqojiqiZm= Oe/7uJeoba1nduT0raxpeoZej16FZornFtWL9qrJpmJp469EVdaI7Z74jzPFfhN128zp10jGwZi= vJoxsWzXFM9sXJvVzEfbxVT/PD7sXUcnSOnLpL1PDq6uTi6TmXbVXHPFcRb4nj6pBsVnbk2/p+T= VjZ+u6Xi3qe+3ey6KKo+2Jnl1rpG3RmfE69n7G1nQr+ZayLdFV29mWvA0xPPMTVNUUxPojl4r0K= dFW3977JzN0biy9QyM25lXojwd+Kf2YieapmJmapmZnnn0OmaHER8H/c9Md0a3iR/wCmoHs/Tdv= zXdv9F+3snA17Dxdx5FePVmU4tdq51qarNc11Ux2xNE1xHFUdnd2vS9qbq0jM2liajka7p1ybWJ= YqzbvjNHFquumP25ieKZmrmO3jta9dN+29Lt9C+yN1027n8qXMPAwaq+vPV8F4tXXx1e7nmO93b= L2z0d7G6FcnM1TEzq8PW8bCqy7Nq/M3L92ni5RTRM9lPbNUz9UT9gPXMfde2Mm/RYxtxaReu1zx= TRRmW6qqp9ERE9rzLpX3duLSOmnZ+habqdzH03Pmz4zYiimYuda9NM8zMcx2dnZLwLeU7Mu7fjJ= 27s3cek3+vTVby8nIm5Zqp9Hd5+Y4mJ9DvWtZuVqO/uh/Nzb1V/Iu4GFNy5VPNVc+GmOZnzzPpB= tTAQAAAAAAAD8PfG4MbbW28rVL/wAqqinq2aP9O5P7Mf8AOfqiXgHlU33zP/xqI+rxWz7gNmxrJ= 5VN9+u49ks+4eVTffruPZLPuLgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHl= U3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbN= jWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9= w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcM= DZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZ= LPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz= 7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79d= x7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/Xce= yWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTf= fruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU336= 7j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTy= qb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm= +/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsa= yeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuH= lU3367j2Sz7hgbNgIAAAAPL/hOfuxufxdr+uXSfgp52FiVbioyszHsVXZxvBxduxTNXHheeOe/v= h7zq+mafq2L4pqeFj5mP1oqm3eoiqnmO6eJfkVbE2ZMdu19In/AISj9Hvt6ymnTTYmO85y+dd0l= VWpi9E9vhrruLok31d1LNzsTSrWXYu37lymbWVb5mmapmOyZh6F0e9It3auiYW3t57c1TR7WHbp= s282rHrm3VEeers7Pu5ek2NlbYxuZw9IsYcz3zi1VWZ/nomJc8bdtW4mnG1LU7duqOKrdzInIoq= j0cXet2fZw6XuIc+iKLsZiP0Ys6CbNc125xMvtsZeJrGj13tOy7GTZv2qot3bdcVUzzHHfDWvTP= g/9JGmzd/k3dmmYXhJia/F8zIt9bjnjnq0RzxzP873jE2dj6ZkXM3Rb9Om5NUzM02LfVsXezs8J= a56sz/81PVn63Z8abk2om7TTTc4+VFM8xz9T51WM+z6VE1Y93h3RZ0E39A3RZ3LurWLWpZuPc8L= Zs2Yqqo8J5q6q6+2qY74jiO2Inme5+3onRdnWeljc259Uv4ORpGtY17H8Woqr8L1bnU5ir5MRHZ= TPdPnetJMcstNVq9nZ+1bmda2X0y6BjaZc5uV2bupRbrniJ7Jpp60TPHZzHHPofN0PbM1Pe/Q9u= LR9Ov41i7d1excpu5E1RRPUo5qj5MTPPyo8z2SvoG6Na7lVyrRsiaqp5n/AL7e7/xO97b0DSNt6= Ta0nRMG1hYdrnq26OZ5nzzMz2zP1zMyK6HvXozydzdD2jbNuZ9jH1DS7ONNF6Imq1VdtWptzE9k= T1Ziqrt457ux1ux0R7y1Xo+z9r7t3VjZUW6sevSK7XWuU4824rpmmrmmmZiYqpjvmY4+rt7rujU= 83P3nZ0rCuX7GNptrwmfNNVdEVTdpmLcxNMTz1erNXFUxEzMejs65rd/eutZ1i9GHrODHgZt004= 9FVvwXhOrz1p5+XVT16O2eI5t3PNPLtRYmr5eeq/jtDquq9EfTBqm3adu5+9tIyNLt00UU49ddz= iIo46kcxa57OI879+50Sa/Xruws/wAf0zwe3MbHs5Udevm5Nu5NUzR8ntjifPw7Bcyt5YOhYFjB= wL1zxm1NNyK4u1XLHWimmOZqmaoqpmvv7qot1TERzD6NG1HdOu61gWNS0vK0/CouU5VdUW6rfbF= uKvBVVTPyoiq5THPEczbq7OJ7HJnGcrzo7YeiUqlKuLsAAAAJVPCuidM27I25tmbGLd6uo5vNux= 1Z4qt0/wCdX90dkfXMegHlXTduyNwbknT8S51sDT5mimY7q7ndVV/RxH2c+d5+faKACgAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADdABkAAAADgAODg= AOCIiO4AAAAAfLXp2Bczac65hY9WVTTFNN6bUTXERPPEVd/D6erT6FBMJ1Y9BFMQoKAAAAATPAO= LMyLGLi3cnIuU27Vqia66qp7KaYjmZaqdIG5L26dzZGp1zVFjnqY1uf8AMtx3R9s98/XL0/4Qe6= /A41G18K5/hL0RczJj/No76aPv75+qI9LxBYABQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABugAyAAAAAAAAAAAAAAAAAAAAAADG5+yANXemD94+s= f62n+xS6mCgAoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAA//9k=3D" width=3D"793" height=3D"1121" alt=3D"" style=3D"margin-lef= t:-1pt; position:absolute" /><img src=3D"data:image/jpeg;base64,/9j/4A= AQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBA= QEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEB= AQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAAbAE0DASIAAhE= BAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAABwUGCAkKAgT/xAApEAABBAMAAQQCAgIDAAAAAAAFAw= QGBwECCAkREhMUABUKFiEiGCUy/8QAFwEAAwEAAAAAAAAAAAAAAAAAAAECA//EACkRAQACAAYBA= wMFAQAAAAAAAAECEQASITFBUQNxkfATImEygaHB8dH/2gAMAwEAAhEDEQA/ALAbx6gFUHCruua3= rKsFMMDvK/BjZu2mcwdmDZDW+LBBRGGRYS3M6bOyDrRuPBR8MxTTQatUEUk9Go5nvujzW3N/m+6= DizK0o6FqbmeLnGqRiK1tedm26ftJ0HdJ4cMNZg3jZduPhxR033S3cDFMvXg7ffZF4gi4TUQ1Dj= UFHp95X/HtX1jtGj+vMdg+QCyRAYpjTcPIbgrE/dUprRB6grn4FnkcMMk5QE13122/asENE9d9l= M6ZcD3yLdzI0R2hNAl83CT7Urt/ZDeV8go8yOCkS5trYN0fXsL2s8JJW8FS+6+iVIF5XN443LyC= QNp+mOeGmjF21EKI75QhG5S1Va1V6/c29TGEPGOaaqynLmVVZ0n5DeivTHcTv/oqsb6R5H7bisw= o6/zAR/JqzMArSmcgqO9I6I2/7l9WUpWKtt1ioVPbRcvGSCSRhmh7190fj11yoSWJnproe4bApH= mWTvI8ypSLBZX0HfVjy+ekINWmZQyfFYrBQQNjJWDmY2KcCMFpAuLw/Yj4+Eci3pV3osWHN1mF5= GZrA7Y8aNMXvGulpv1VN6i8idFo863tPapzVUrLE5OeZx2YQmOqpxeHpS6OrRAhJ3hMoNE5HkHU= c0YPfsPY5ndB78/T6q4QO8jXAnQBpKuMd1OJVcHPFklXbIKIs0zJaNhVYyylxUkKbIimtiRArWw= wuCjT9ym5PBZfs5EJqrNXSP4EIxnu/cLlWyzLw+51V+k/SieWm0lBlWaVWINFrrduv8XgftJJ1j= V1HVv1jM7KK3NyzOZElFJjJGidg1PbVEE3koViI0xY0FdziRMlYo8K/RWXfJP2bwWFLhzLhtuye= /Lp4Zl0nI5b0Xjk+sOi67qGaBq2dW9Zln37c8hDRWBwJogs9xkPH1pgJfTGSKjGrs45HNXrVsGj= zfcyTX0bKoZ3APKsIiPEfgmeePSS5Jp9w972bcZUnz2SeiSk4rlmYsJhVyNlyEKIcO14pXounKl= hk+SOG9m6T82a2RGLrOHCLNKQEAhXKzqy+v8AmbsOrqIlqnW4qt57yjL+icaAa4K27X1QDKoJVg= pZSOiJuEyfdyAFycQmDKMCxYWXL6CcPXbdZv8AhljnC6qN5RDkD8/7d4bCB5IRuhtY5mmq4sdSz= fbCGPuO44dSy/W4XqSOdh8fxmfK17c9h1i9sWBz2jHO0n/q7SdyOJuZiabG63cOXIo8qTaKtSDW= EGB0ty2WH7OstyXOLWuKVTKa11T1hsYKIp6t07h6S6LuGxZ3pU9BVw51eKBnBFgOkCL+Uy6TpCy= boJH2jlsjoOYOHzt1jZRk2dxFuvPcPOXJ9wcqZ6Fqo4968aTzmioPHdI5Nv0TYcBqGVR4hUhu3x= 12JZZy6PxCFi/t2XGSVgJEhI6JtI4D2cInd8M2xUBs4PXAHsnjW3Fa70U7RgNGlucZbeshMwqoL= JtujGIRq7o2cT8SQFbxM0fzFhRuItXxRFscWIk09ESe7RYU/piZxXcdO6y+9b/5gfH4zyRjdXGX= 25nVMtCK8Mni67MeOM9GWI3gkxvSuevYx2vR1Rrx9XohjBGVzUzdlHxOULKIjLWVgM2O4cS2tNM= prOnZVog2zqIbuSLN07+i7R10HeLWVGpMn0u1eSo/IwY6wK9fRz9wfJyBJk2PVXHXbvIpwYdPlW= rIhugi+2bNlE2m7lRd5hHDh04VVoL6GmthjrX6E6Cv2CVXTF59F8AN/HFzHxTVNsxa47Cswkdlw= 6SnbqmOYcq5YgK6r9qL1RZHjCnwiophdu9eNyWGg97dz4co+tE490FFnK/2nEbNUkBXc+u2cOFx= FKxwestrnbGNs6qqN9t9c5xjOdc49cev4yo+SKB+mWxVbb12aGnBi4wgebxxrRjNYqpplRpdxd8= YfLn8j7Cddx9D8v29KRnOz6hO4b8kfLPUcc0dfs6pt6HdDT4jGy01TWV2bLRQ5ursHkGc4SHJs1= vcV1wOwuu31HVX51OrYRChQK+vHVP7qm2g9m3Y2/ypOIJKams7OqOmjWTN9Cb5uTiTQtrjV2okR= w4bMsLb6Jb7I667Zx8d28w0aZ7f7IMEoP8AYIleqehCRBxiSy9D7D19bcudOl/hbn0kEsquFVFP= jRSTS093tT000xrrgZxSFMYAJ3AweR2dEAm+m+mREbuO2gw3Gu+ce/2MR81QbJ529c+uyaeu2fX= P+fxhW2h13t3eKp3jVNNN6e3Zv+e8XG+VDyg2VLJXAL769GQytlqaIPpVyF4+4zLh01Oa2a7HOB= jG8egzwPfA9vvFxzp6lHGDVPVBsu9dNhqi7h0R11hBzj5KeufJO9sWn1Kh5OKB4dCmE7NCrXjsv= PAiiT2ewyuhDFiPFi5KvkqtI5yFxo6UZoIMmmrt2q8SwjjXeAZfmelz5B0XOxUiaKvVdlnhMtN5= 8RIO1tv/AEq5ePJQs4XU29Meu6qm22fT/Ofwl0/AYzRBY6cqJEvBS0kCpRw29ESmU7KkAyRoVI2= 7RXD0y7T02ZyAAENMXSOiTxgUFMXzNwg5bpqajEUUFNn5898GSK5pBKXb1pxtxg82F3r0B4843A= ZZG6E4fizS/GDyRQzepB7/AAamMIDNxjF9MCmG6LMkOBDZ3tKaq3YSDdkUTsOs7FD6CsJRvd85e= nP3ks7b8kGLCqePUFyzPUYtHBUmMwuxGBR63PjnskGR5XUGLeakUipQQkRWPOWaOmj79KLKOGOr= hyho2VhXMaSrifN4k0mYkxJW8Fj5CLRBMtNJu6wAjxWay6xiQphtvI/fo1fTmeTGUOdd9t91S8i= Judt85X9NV2rawiNMF8yKqdJJADuXgF/+3jE6nQx/h5GTjORgXGrlCSYV1UFnB7Mk1zrtj2uW+m= dsba+7XM5IXeUvv56YX0vHd5I2c1rx/wAMSGsLvK7PHu2RUjlJ8PRGeHcif7fC6wikxHTAGIkYn= SSwwgfOLR8WDKDpJHV2RtmzDyQquLSetUCrNg9wogi4OffK71p5AJHKqKWqrlR8xRhD+Yv4/Zwa= Sn2EqQHHY6CRj0aiTBnITEvlaz6SsyDYIEDviqQQaeON0FEwy+uY6WHG2VsRYDCbHISqYxWNkHh= IMGNTeZuG7R883Wyo4331P6OHe6WrhdFlh6s51GtllGo/Vq23yllCqisIZSZ97J6sYk4abJiVQB= J4NlEqW1IB1iA0v9B60fmnjJ0igYDhzLLK7ZTdgZECy7HduRHM3KLyR00NNTDfHBczEs0Hn5pg6= T7ubp3x5x+qLAZ8gcm1mn0FGjhYUQhMLNBjaGI0WQYkYrJ13TMWSYlUGD2OSNQFsptq2ESEGq8S= bPt1WrfXr/Fu67nvbvPHWd12GHj8dkX/ACIARHZhGk3Wo3LIDUkNWar41drKrYXUySVwr/v7c41= 09uMemfXFvacXZ3SNbjLaMTexB7A44kg9nLbGsA0gNNvhYwG+IDU3kmUwOVfCw4tq+0ZfAi8+g2= WcpKuEtVfzZ5/FUraF1lyF0YLhAbIRiR6Ry/eIYJFiXzO8VjBm+FflLP36yfoiknp8aSmiX+vu9= nvzttkyR3ovDIRi5gpqr5r+sf/Z" width=3D"77" height=3D"27" alt=3D"" style=3D"m= argin-left:441.05pt; position:absolute" /><svg font-family=3D"= Times New Roman" font-size=3D"16" height=3D"41.33" version=3D"1.1" width=3D= "209.31" xmlns=3D"http://www.w3.org/2000/svg" style=3D"width:209.31px; heig= ht:41.33px; font-family:'Times New Roman'; font-size:16px" xmlns:xlink=3D"h= ttp://www.w3.org/1999/xlink"><defs /><g><g><path d=3D"M0,0 L209,0 L209,0 L2= 09,41 L209,41 L0,41 Z" fill=3D"#7c7c7c" fill-rule=3D"evenodd" /></g></g></s= vg><a href=3D"http://www.anatomiadigital.org/= " style=3D"text-decoration:none">www.anatomiadigital.org</a><s= pan><svg font-family=3D"Times New Roman" font-size=3D"16" height=3D"16" ver= sion=3D"1.1" width=3D"415.95" xmlns=3D"http://www.w3.org/2000/svg" style=3D= "width:415.95px; height:16px; font-family:'Times New Roman'; font-size:16px= " xmlns:xlink=3D"http://www.w3.org/1999/xlink"><defs /><g transform=3D"tran= slate(0.1,0)"><g><path d=3D"M414.7986,0 L0,0 L0,0 L0,0.6412598 L0,0.6412598= L414.7986,0.6412598 L414.7986,0.6412598 L414.7986,0 Z" fill=3D"#000000" fi= ll-rule=3D"evenodd" /></g></g></svg><sv= g font-family=3D"Times New Roman" font-size=3D"16" height=3D"16" version=3D= "1.1" width=3D"415.95" xmlns=3D"http://www.w3.org/2000/svg" style=3D"width:= 415.95px; height:16px; font-family:'Times New Roman'; font-size:16px" xmlns= :xlink=3D"http://www.w3.org/1999/xlink"><defs /><g transform=3D"translate(0= .12,0)"><g><path d=3D"M415.7586,0 L0,0 L0,0 L0,0.6412598 L0,0.6412598 L415.= 7586,0.6412598 L415.7586,0.6412598 L415.7586,0 Z" fill=3D"#000000" fill-rul= e=3D"evenodd" /></g></g></svg>ISSN: 2697-3391<= /p>Vol.</= span>= 8 No. 2.1, pp. 19</s= pan> = =E2=80=93<span= class=3D"awspan" style=3D"letter-spacing:-0.2pt; color:#ffffff"> <s= pan class=3D"awspan" style=3D"color:#ffffff">33, abril - mayo 2025 Revista= en ciencias m=C3=A9dicas, salud p=C3=BAblica Art=C3=ADculo de revisi=C3=B3= n bibliogr=C3=A1fica.A= s <span= class=3D"awspan">research progresses, the<= /span> integration of objective</s= pan> diagnostic methods, such as</= span> DpOAE, along with<spa= n class=3D"awspan" style=3D"letter-spacing:0.4pt"> an </spa= n>understanding of the context = of trauma, = may <s= pan class=3D"awspan">significantly improve treatment outcomes in patients<s= pan class=3D"awspan" style=3D"letter-spacing:0.65pt"> with= post-TBI hearing<sp= an class=3D"awspan" style=3D"letter-spacing:0.65pt"> loss.= Conclusion. </spa= n>Cranioencephalic trauma<spa= n class=3D"awspan" style=3D"letter-spacing:4.6pt"> (TBI) </= span>has significant effects </spa= n>on hearing, which is = evidenced in seve= ral <= span class=3D"awspan">studies. On one</s= pan> hand, in mice it<s= pan class=3D"awspan" style=3D"letter-spacing:-0.3pt"> shows that repetitive<sp= an class=3D"awspan" style=3D"letter-spacing:-0.3pt"> mild= TBI can cause </span= >early neuronal damage<span= class=3D"awspan" style=3D"letter-spacing:-0.7pt"> although it does = not <s= pan class=3D"awspan">directly affect hair= <span= class=3D"awspan">cells, but causes degen= eration </span= >of the spiral</span= > ganglion. An accurate<sp= an class=3D"awspan" style=3D"letter-spacing:0.5pt"> evaluation of hearing loss<sp= an class=3D"awspan" style=3D"letter-spacing:1.1pt"> and </s= pan>exposure history are <s= pan class=3D"awspan">essential for successf= ul treatment <= /span>of hearing l= oss <sp= an class=3D"awspan">after TBI. Studies</spa= n> agree that early intervention= <spa= n class=3D"awspan">is vital to<sp= an class=3D"awspan" style=3D"letter-spacing:-0.2pt"> prevent progression to<spa= n class=3D"awspan" style=3D"letter-spacing:-0.25pt"> chronic deafness. As research</spa= n> progresses, the integration</sp= an> of objective diagnostic method= s, <spa= n class=3D"awspan">such as DpOAE,<sp= an class=3D"awspan" style=3D"letter-spacing:0.4pt"> along <= /span>with an unders= tanding </span= >of the context of<= /span> trauma, may significantl= y <spa= n class=3D"awspan">improve treatment outcomes in patients = with post-TBI hearing loss.General Area of Study: Human Medicine Specific area o= f study:</sp= an> Otorhinolaryngology. Type of study: <sp= an class=3D"awspan" style=3D"color:#333333">Bibliography Review<= p class=3D"awdiv"><a id=3D"_._Introducci=C3=B3n"></a>1.Introducci= =C3=B3nLa capacidad = del ser human= o <span= class=3D"awspan">para percibir e<sp= an class=3D"awspan" style=3D"letter-spacing:0.5pt"> interpretar el sonido se <s= pan class=3D"awspan">da por un conjunto de estructuras como<spa= n class=3D"awspan" style=3D"letter-spacing:2.6pt"> el </spa= n>o=C3=ADdo, el tron= co <spa= n class=3D"awspan">encef=C3=A1lico y el</sp= an> cerebro. La p=C3=A9rdida</span= > auditiva posterior a un<= span class=3D"awspan" style=3D"letter-spacing:0.6pt"> trauma craneoencef=C3=A1lico suele= pasar desapercibida, el</s= pan> d=C3=A9ficit audiol=C3=B3gico primario= no solo aparece como </sp= an>resultado de = un <sp= an class=3D"awspan">traumatismo directo = en <sp= an class=3D"awspan">el o=C3=ADdo interno<= /span> o medio, como ocurre en f= racturas </spa= n>de la base<= span class=3D"awspan" style=3D"letter-spacing:0.1pt"> del <= /span>cr=C3=A1neo o = desgarros </sp= an>de las v=C3=ADas= neuronales centrales. Por otro = lado, en el<s= pan class=3D"awspan" style=3D"letter-spacing:0.6pt"> caso <= /span>de la lesi=C3= =B3n <s= pan class=3D"awspan">secundaria temprana, e= xiste <= span class=3D"awspan">un aumento de la</sp= an> presi=C3=B3n intracraneal en respuesta = a hematomas, hemorragias= o degeneraci=C3=B3n<= span class=3D"awspan" style=3D"letter-spacing:0.05pt"> axonal difusa. La afectaci=C3= =B3n <= span class=3D"awspan">auditiva suele mani= festarse </sp= an>en frecuencias = muy <s= pan class=3D"awspan">altas, como 4.000 Hz= . (1,2).La<span= class=3D"awspan" style=3D"letter-spacing:1.8pt"> incidencia de la hipoa= cusia <= span class=3D"awspan">post-trauma var=C3=ADa seg=C3=BAn <= /span>la poblaci=C3=B3n y <= span class=3D"awspan">el entorno, se presen= ta <sp= an class=3D"awspan">en aproximadamente = el <sp= an class=3D"awspan">5-10% de los<s= pan class=3D"awspan" style=3D"letter-spacing:0.35pt"> casos de p=C3=A9rdida<spa= n class=3D"awspan" style=3D"letter-spacing:0.35pt"> auditiva, el grupo etario m=C3=A1s afectado son<s= pan class=3D"awspan" style=3D"letter-spacing:-0.15pt"> los j=C3=B3venes, especialm= ente = aquellos que pra= ctican </spa= n>deportes o par= ticipan en </s= pan>actividades de riesgo, </spa= n>adem=C3=A1s, los t= rabajadores </= span>expuestos a r= uidos <= span class=3D"awspan">muy fuertes y lesione= s f=C3=ADsicas tienden a ser los m=C3=A1s afectados. (3,4).Esta revista est=C3=A1 protegida </span= >bajo</sp= an> una licencia </span= >Creative= Commons en </s= pan>la</s= pan> 4.0 International. Copia de la licencia:<= /span> <a href=3D"http://creativecommons.org/licenses/by-= nc-sa/4.0/" style=3D"text-decoration:none"></a><a href=3D"http://creativecommons.org/licenses/by-nc-sa/= 4.0/" style=3D"text-decoration:none">h= ttp://creativecommons.org/licenses/by-nc-sa/4.0/</a>D i <spa= n class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#fff= fff">a g n<s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-s= pacing:-0.05pt; color:#ffffff"> =C3=B3 s= t i<= /span> c o M = =C3=A9 d i c oP =C3=A1 = g i<= span class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-= spacing:0.45pt; color:#ffffff"> n</sp= an> a 22 | 33= <img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAUDBAQE= AwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBw= eHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh= 4eHh4eHh4eHh4eHh4eHh7/wAARCARhAxkDASIAAhEBAxEB/8QAHAABAQACAwEBAAAAAAAAAAAAA= AECCAMGBwQF/8QAWBABAAEDAwAECAsDBgsGAwkAAAECAwQFBhEHEiExExQXQVFVlNIIFiJUVmFx= gZKT0TI3dBWRobGysyM1NkJSc3WChMHTGCQnM6LDJWJyJkNFRmOjwuHw/8QAGwEBAQEBAQEBAQA= AAAAAAAAAAAECAwQFBgf/xAA1EQEAAQMCBQMBBgUEAwAAAAAAAQIDEQRSBRMUMZESIUFxMzVRYY= HwFSJCodEGIzKxNMHh/9oADAMBAAIRAxEAPwDpoD+lPxQANEosoAAECSqSLKAKgAkkJPeE94pIA= CT3Is9yAABAkqkiysBAIkosoKkrHckrHcqACCSEiwACglXmVKvMCEhIIAKAJJAAQsJKLKKSACD9= HDteCt8z+1V2y+XCtde51qo+TT/W/RYmWK5+BjPeyYz3sswANKAAJKpIAAADIAKgAqsZCQPgAlC= EqnsYkiNQkosoKMZ7e1ap8zGGKpy1TAksuWNTDeQFpjsIgmQWYRqUhJ7wnvAAASUVBRJUnu5QYV= T5mE9yzPM8pPc5z7ukIkwqpgliLKfZ2osLTT1qo9Dk+5KY6sfWy5daacQ5VVe76AHocAAaJRZQA= AIElUkhZQBUB9uBpebm4OdnY9masbAt03Mi5PZFMVVRTTH2zM931T6Hb+jros17fGi3tV0vO02x= Zs5E4805FdcVTVFNNUzHVpmOPlR/S897VWrNM1VziOzrbs13JxTDoU96PY5+DxvD1tof5t3/AKZ= /2eN3+ttD/Nu/9N5f4tpN7t0N/a8cOXreV8H/AHxZpmbWTo2R6KaMiuJn8VEQ6JuzZe59rXONc0= jIxrfPEXojr2pnzcV08xz9XPLva12nvTiiuJlzr0123GaqXX57kWe5HrcAAIElUkVYAESUWU5gW= ElY7klY7lQAQSQkWAAUEq8ypV5gQkJBABQBJIACFhJRZRSRaYmqqKYjmZ7kfZgWv/vao+qlJnDM= ziH02aIt24pjzd7MHNyGM97JjPeLAA0oAAkqkgAAAMgAqACqxkJA+BJWUSSElJhkiNMZRlLCe/h= JnCwkx28oyYzDm3EiSqSKR3s0pjiFVBOFFGEwMp704BAQCUVEX4GFc89jKZ4hxpVKwhCjnhtAEB= aKeZ59COWmOIappzOSZSUZVMeJdXPD6QHVxABolFlAAAgSVSSFlHPp2HlajqGPgYVmq/k5FyLdq= 3T31VTPEQ4GxXwZ9gzh4kby1SzHh8imY0+irvotz2Tc+qau6Pq+15Nfq6dLamue/wAO+msTfuRT= D6N57OxdlfB71LTbc03MqvwNzLvRH/mXJuUc9v8Aox3R/wD3L7fgm/u6zv8Aa1z+6tP3/hDTHkk= 1iP8AVf3tL8D4Jv7us7/a1z+6tPy1Vyq5oaqqu81f+n26aIo1VNMfg9T1vVcDRdMvanqeTTjYlm= Im5dqiZinmYiO765h1WOljo9nj/wC02L+Cv3XF0/8A7pNc/wBXb/vaGnTpwzhlGstzVVMxiWdbr= a7FcU0w3m0Ddm29fqmjR9bwc2umOardq9E1xHpmnv4+5+nnYuNnYl3GzLFvIx7tM03LdymKqao9= ExPe0MxMnIw8q3lYl65Yv2qoqt3LdXVqpmO6Yluf0S7hvbo6P9L1fJqpqyq7c28iYjjm5RVNMzx= 5ueOfvcuI8MnR4rpnMNaTWRqM01R7tcOnfYNGy9ft39Opq/kjP5qsRM8zarj9qiZ9HbEx9U/VMv= N23PwktMtZ/RVnXqrcVXMK7ayLc+emetFM/wDpqlqfpUzTqeLNNm1fmL1HFu9zNFfyo7KuO3ifP= w/QcJ1VV/TZq7x7Pl66zFu9iO0vedP6O8Kvoyo29XoVVWu5GlVanGp+Kz1aLvXiqjH8Jx2VdXsm= OfNM+d0jb3Rxo2dtjb+rapum9p97XMivGxrNOnzdiLkXJoiJqiuO/iPNHe9Kubc6b691U6/Tq2k= 0RExP8n05t6MTiKerx4P0T39/f2vl1HY3ShmWtIteKbUsW9J1CvPxrdm7dinwlVybk0zz/m8zMR= EcdnnfJt6qujMc2Pec9/r7f9PbVYpn+ifb2dH0Dojrz8/VsHLz9Qt3NPz6sTwuPp/hbVcRETFXW= munie3mae3jsfp6T0c7Z0zTd9YW48+u5l6NNiLeXasVT4CiunrU3IoiviqaueJpnu6vf2ubeWsd= JG0IzLm5Ns6Jm6fnZ3jkVXLNV6xavcRT8maa4mn7Kvr4878nae6N+7n3BuTU9I21pesRqduxTqW= Hctc2OKKerbmIqrie6mrzz5/q49M16u7RNfrj0+3aY/JyxZomKfT7vjwejrQ6NO0S/rW6b2De1+= 5VTptu3gzcjq9aIoruT1o463NPZ5ut9U8fTp3RRh0xkU63uSvBu29bjR7UWcKbsXblUUzRVz1o4= iet9z5r2+Nz7UvWdC1vbeiXcrSrs3cOnMx+vXhTX8uIommrjiOYmO/js9Ecfi0dIm4PFqbV+nEy= a41mjWartyietXfpiOIniYjqdndERPomHoijX1xmmr2+sf2/RxmrTU94di3H0V4Gn2cy5p25pz6= 9O1CxhZ1m5gzamibtVMRMT1pir9qP1fqal0c0a/u/WsOa68K1pVy3i0fyZpEeBqiaIq5nm5z1uZ= 7eZqn6+50zL6SNcyKtXm5i6fH8rZtnMv8AFuv5NdqYmmKfldkT1Y555+52La28d87o1DW7OnbY0= fXIzr1Gbk4l6zM27VcUxRFVPNcT3RHfM/c5XLeuop9VVXb5zHzhuivTVTiI7uldI21ruzt15GhX= cujL8FTRXRepo6nWpqjmPk8zxP3y69Hc7V0sZu4s/eV+/ujTLGnal4K3TVYsxxTTTFPyZ/aq831= v1dS6JN1afs+rdF+5p04NONTkzFN6qa+pVETHZ1e/tjzvqWtTTRao51UZn+7x12Zqrq9Ee0OgAP= Y86SEuy9H+ydY3vn5OFo1eLTdx7UXa/D3Jpjjnjs4iWLl2i1TNVc4iG6KKq5imnu60P2d6ba1Ha= Wv3dF1WbE5NqimqqbNc1U8VRzHbMR6X4zVFdNymKqZzEs1UzTOJEq8ypV5m0QkJBABQBJIACFhJ= RZRRnZom7ciiPv8AsfqUxFNMUx2RHY4cK14O11pj5VTnYqlyqnMgDLIxnvZMZ7xYAGlAAElUkAA= ABkAFQAVWMhJIfCSIqSsAIglUsOGVU9qcszLpEIKkwipwcKSQSACZABUnvRZ70CA4AVEmGTGqeI= QYVT2sPOySYYlqEARUAjtngwZZW457XIkRxHBzx3ukRhMkosoqPoAdXAAGiUWUAACBJV9eiaXm6= 1q+LpWnWpu5WTci3bpj0z559ER2zM+aIZqqimJqntDURMziHcOhLYte9N00+M0VRpOFMXMuru6/= +jbifTV/VE/U2+tWrdm1TatUxRboiKaaaY4imI7oh1/o72rh7P2xjaNh/Kmj5d+757tyf2qv+Ue= iIiHYrlNU0TFM8Tx2TL8NxHWzqr2fiOz9NpNPFi3j5+XgXwot60xTRsvAuc1VdW9n1R5o76Lf/w= DKf93637/wTv3dZ/8Ata5/dWnUel3oks6Lt/Vt3X9w5efmeEi7cpuWaaYrqrriJ7Yns/adu+Cb+= 7rP/wBrXP7q09t+bP8ADoi1Off3+rzWuZ1ea/wdl6f/AN0euf8A0W/72hpy3F6f/wB0muR/8lv+= 9oadPof6f+xq+rycV+0j6Daj4LMV+TOvr89X+ULvU+zq0f8APlq/p+Hl6jm2sLAx7uTk3qurbtW= 6Zqqqn7Ibo9Fm3Lm1th6Zo1+KPGLVua780zzHhKqpqq7fPxM8c/Ucfu08mKPnJwqieZNXw+bpr6= kdFm4ev3eKTx9vMcf08NN9I/xrh/6+j+1Da34Smq2sDoszMeqvi7nXbdi3T56vlRXP9FMtUtI/x= rh/6+j+1DHA6ZjTVz++zXEpib9MN1OkvW8vbexdT1vAptV5OLaiq3F2JmiZmqI7YiY9PpeCYPwh= N228u3XmabpF/HiqPCUUW66Kpjz8VdaeJ+viXtHTt+6XX4//AEKf7dLTXlw4No7OotVTcpz7uuv= 1Fy1ciKJbx41ek732Xbu1Wqb+nariczRVxPEVR2xPoqpn+aYeC9COl720ncm6tJ2xe0SL+Feox8= urUKbkxV1a7kUzR1Psq7/qeudAGNkYnRHodvJoqorqouXaaZ/0a7tdVM/fExP3ut9C1dFzpV6SK= qOOPHqI++K70T/S8NqqbVF63T7xH+Xprp9dVuqe/wD8eI9MFjX73SZnY+s04l/V7k2aaqcCmubd= Uzbp6sUxV288cfe7BonQPvjUcSnIvzpunTV3Wsm9V1+PTMUU1RH8/L0fRNLx874UOu5d+iK5wMK= 3dtRPmrm3bpif5pqfJ8InpF3HtjXMLRNAyacPrY0ZF69FumqqrmqqIpjrRMRHyZ83n/n+nTrtRX= y9PYxE4h4p01qn1XbucZdSn4PG8PWuh/m3f+mw6GdG3noe/twaNt6/ok5+Ha8Fk15nhJtVRFcfs= dWOe/08PSfg37p17dOjatf13UK825YyKKLc1UU09WJp54+TEPzeiT9/e/Ptq/vIcLur1E03bV6Y= n0x+H5w60WLUTRXbzGXQt3bN3fvbpfztH1HK0W3q9vBoyLldqblNiaIiiIiOYmrn5Uebh7zuHbO= bqPRZc2pZvY9OZVp1vFi5XM+D61NNMTPMRzx2eh4T066/rG3OmnUM/RM65hZNWHZtTXRETM0zTT= Mx2x6Yj+Z7VurV9SxOhS5rePmXLeoxpVq9F+IiauvNNMzV6O+ZcdVzposTGMe2Pq3Y9EVXInv8t= cd49GGubW1nRtLz83Trt7V73gbFVmuuaaautTTzVzTHZzVHdy7THweN4T/+LaH+bd/6bote4t57= x3BpVq5n5Oo6nZvx4hHVp5ormYnmOIjz0xPb2dj3HE2f0212KK8jf+HYuT30RHW6v1c+DfT1Wo1= Onppiq5TE/P7w8di1ZuzMxRMw803J0Gb20fTq8614hqdNuOa7eJdqm5EeeYiqmOfsjmfqfvfBE/= ys1r+Bp/tw9v6PdO3XpmlXsXdusY2rZHhetZvWqJpmKOI+TV2R5+f53mvQvYtY3TnvqxZoii3TV= c4pjujm7y8FXELmo0923cmJx8x9XqjS0WrtFdPtl5v8Jj97Wd/D2P7EPNHpfwmP3s538PY/sQ80= foeG/wDi2/o+Vq/tqvqJV5lSrzPc86EhIIAKAJJAAQsJLmwrPhLvWq/Zp73DxM1RER2y/Ux7cWr= UU+fzkzhmqcOSUWUc3IAAYz3smM94sADSgACSqSAAAAyACoAKrGSe4knuRWKopCQMap4VjPektQ= hMAy2ncvIiC8dqSpKiAAAIMZ7xZ70FiQAUcVc81M654jhxyzKgDOCEk4UGssWVuOO1IjmeHJDVM= M1SANJCTCLKA+gB1cQAaJRZQAAIGy/wbtgxo+lRunVLURqGbb/7tTVzzasz5+PTV3/Zx6Za36bk= 04efYy6sazkxarivwN6Jmivjt4q4mJmPveqf9oHedNMU0adoNMRHZxj3ez/9x8rilrU36OXZj2n= u92juWrVXruNit367iba25m61mz/gsW1NXHnrq7qaY+uZ4j72ts9Pe+pqmYp0uI57I8WmeP8A1P= wukDpQ3JvXTLOm6pRg2Ma1d8L1cW3XR16oiYjrc1TzEcy6O8/D+D00UTOopiZddVxCqur/AGpxD= v8Au3pc3ZubQcjRdSjA8VyOr1/B2Jpq7KoqjiefTEPYPgm/u7z/APatz+6stYHfOjzpS1/ZGi3d= K0rD02/Zu5FWRVVkW65q600008fJqiOOKY8ztr+HxVp+Xp6Yj3y56XVYveu7Pw251XTsHVcC7ga= li2srFu8eEtXaYqpq4nmOY+2Idfjo62LHExtTSPvxqXhX/aF3l6r0L8m7/wBRJ+ELvH1ZoX5N3/= qPiUcJ11PtT7fq+lVr9NV3/wCmxmj7f0LR5qnStIwcGqqOKqrFimiZj0TMQ+nU8/D0zAu5ufk2s= bGs09a5cu1RFNMfa1e1Hp731lWposRpWFP+lYxpmr/11VR/Q6JubdW4ty3Yua5q+Vm9Xtporq4o= pn6qY4iP5nW3wLUXKs3Zx/dividqmP5Idn6cN/fHbcNNOF16dJweaMaKo4m5M/tXJ+3iOI80fXM= ujaR/jXD/ANfR/ah889yUzNNUTTMxMTzEv01rT02bXKo7PjV3ZuXPXU3t3TomHuPQMrRc+q5GLl= URTcm1VxVxExPZPb6Hn2J0DbEsZNu7XGpZFNE8zbuZPyavqniIn+lrHGu63651H2mv9Sdd1uY4n= WNQ4/ia/wBXw7fBtTaiaaLuIn6vpVcQs1zmqjLb/pF3pomw9uVVVXLEZFNnweFhUTHWrmI4piI8= 1MdnM+aPuh5f8EnIu5Oqbqyci5VcvXfF67ldU9tVUzdmZn75eBXbly7XNy7cruVz31VTzLlw87N= wpqnDzMjH6/HW8Fdmjnju547/ADvRRwaKNPVbir+ar5c6tfM3YrmPaPh7vqu7MXaPwmdTzNQueD= wcqzaxr9fHMURVbtzFX3TTHP1TLvnST0caH0kU4eqWtUnHyLdrqWsnH6t23ctzPMcxz2988TE+f= ztWtAxLu491abp2XmXfCZ+Vax6r9czXVT1qop57Z7eOe76nvWJ0A3sSmacTfWfj0z5reP1f6rjx= 6yxb0tVExc9NcR+Dvp7tV6mqPRmmZd66Jdg29g6fm4lvU69Q8bu03Jqqs+D6vEcccczy6Z0Sfv6= 359tX95DuWz9DwujXbOdd1jct/Ntzcm9cycuvq9WIp4iimJmfRPd2zMtUtzbiydR3dq2t6ffycO= M7KuXaYouTTV1JqmaYnifRw4aPT16uq7HqzmO/6uuou02Io9u3w7d8Jqf/ABZzf4ez/Yh77oWPg= 726GcLTreX1LWbpdvHruW+KptVxTETHHpiqO76mnWVkZGVem9k37t+5PfXcrmqr+eXLhZ2dhRPi= eZkY/Pf4K7VTz/NL69/hdVyxboirFVLwWtbFFyqqY9qntej7PwuiXpT21k6rrlrLx87w9vw04/g= qbNXU6tMz8qrvmqI57OHq/SVtHWt114VzRt45uhU2KaorpsRM03eeOJnq1U9scT6e/wA3n09zc7= NzerOZmZGTNHPV8Lcmvjn0cy5cfV9Wx7cWrGp5tq3T3U0ZFVMR90S5XuF3rlVNya/5o/JujW26I= mmKfafzbj9Ge1tX2thZljV9z5OvV37kV27l+Kom3ERxxHWqqdB6If39b8/+qv8AvYa8TruueudR= 9qr/AFcFnUdQsZFzIs5+VbvXf/MuUXqoqq+2YnmWKODXMV+quM1R+DVXEKc04p7PQvhMfvazv4e= x/Yh5o5MnJyMq9N7Kv3b92Y4mu5XNVU/fLjfa0tmbFmm3M5w+deucy5NX4iVeZUq8z0OaEhIIAK= AJJADK1RNy5FEechX0YFrmrwtUdkdz7UopimmKYjiIZMTOXGZzKSiyiIAAMZ72TGe8WABpQABJV= JAAAAZABUASVVCQkVioiJCVSxWe1GZagFRFyEKiqEgggvCSNZABMJPeiygAJVJKsKu2eUZJLm2n= CKAgcLTHM/UBTHHayU4dGEAFhJRZQR9ADo5AA0SiygAAQJKpJCygCoAEkJPeE94EiKAk9yLPcgA= AQJPcqSKytV127lNy3XVRXTMTTVTPExMeeJfb/LOr+tc72iv9XwwMzRTV3giqY7ObMzMvLmmcrK= v3+r3eFuTVx/O+dZRYpiOyzMz3SVjuSVjuaZAEEkJFgkAUEq8ypV5gQkJBABQBJIR+hhWupb69U= fKq/oh8uJa8Ld7f2Y7ZfpMzLFU/CgMsJKLKAAAMZ72TGe8WABpQABJVJAAAAZABUEmFFViSSSCM= ap8ysZ70lYQBGl8yLPciILxKMlViMphEVAAJRU4RYE4UBjPYwZ1T5mPDMtQgJwirwxXkMCM6Y4h= KI5llMLTBKcqxOWmMrKEgpKcKCOYc3imX82ufhk8Uy/m9z8Ms9Ra3R5OTc2y4RzeKZXze5+E8Uy= vm9z8J1FrdHlrk3NsuGUc84mV82ufhTxPK+bXPwnUWt0eU5NzbLhHN4nlfNrn4TxPK+bXPwnUWt= 0eVizc2y4Ulz+J5Xza5+FJw8v5td/CRqLW6PK8m5tlwDn8Ty/m1z8MniWX82u/hleotbo8pybm1= wDn8Ty/m138MnieX83u/hlOotbo8kWbm2Xzz3jmnCy/m138MnieX82u/hleotbo8nJubZcI5vE8= v5td/DJ4nl/Nrv4ZOotbo8nJubXBPcjnnDy/m138MniWX82u/gk6i1ujycm5tlwDn8Syvm138En= iWX82u/gk6i1ujyRZubXAkvo8Syvm138EpOFl/Nrv4JOotbo8rybm1wwOfxLK+bXfwSeJZXza7+= CTqLW6PKcm5tl88o+icLL+bXfwSeJZfza7+CTqLW6PK8m5tfNKx3ObxLL+a3fwSsYWX82u/glep= tbo8pybm1wD6PEsv5td/BKeJZfza7+GU6m1ujycm5tl88jnnCzPm178EniWZ81vfglY1NrdHlZs= 3NsuAc/iWX82vfhk8Sy/m178Er1FndHlOTc2y4EnzPo8Sy/m178Ek4OZ82vfgk6izujycm5tl8w= +jxHM+bXvwSTg5nza9+CTqLW6PJybm2XzD6PEcz5re/BKeI5nzW9+CTqLO6PK8m5tl869szxEcz= L9vTNobq1PG8Z07buqZdjrTT4S1jV1U8x3xzEP0sLo+3rFc117U1mOO7nDr/RidXYj+uPJybmP+= Mvxce1Fq3FPn88uV2H4i70+iuseyV/ovxE3p9FtY9kr/AEY6uxvjy5ci7tl10di+Iu9PotrHslf= 6HxE3p9FtY9kr/ROrsb48nIu7ZdclHY52JvT6Lax7JX+ifETen0V1j2Sv9Dq7G+PJyLu2XXR2L4= ib0+iuseyV/ofETen0V1j2Sv8AQ6uxvjyci5tl11j53ZfiJvT6K6z7JX+jH4h71+ius+yV/odXY= 3x5WLFzbLrg7H8RN6/RXWfZK/0PiJvX6K6z7JX+jXV2N8eV5FzbLrg7H8RN6/RXWfZK/wBD4ib1= +ius+yV/onV2N8eTkXNsuuI7J8RN6/RXWfZK/wBE+Ie9forrPslf6L1djfHk5FzbLrg7H8Q96/R= XWfY6/wBD4h71+ius+x1/onV2N8eTkXNsuuJy7J8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHk5Fz= bLrg7H8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHlORc2y64Ox/EPev0V1n2Ov8AQ+Ie9forrPslf= 6L1djfHk5FzbLrQ7J8Q96/RXWfY6/0Sdh71+ius+yV/onV2N8eWuRc2y61PenDsnxD3r9FdY9kr= /Q+Ie9forrHslf6HV2N8eTkXNsutTHZ2I7N8Qt6fRXWPZK/0Sdh71+iuseyV/odVY3x5Xk3Nsut= 98I7J8Q96/RXWfZK/0T4hb1+ius+yV/odVY3x5OTc2y64yh2H4hb1+ius+yV/ofEPev0V1j2Sv9= DqrG+PJybm2XXkl2P4ib0+iuseyV/oTsTen0V1j2Sv9DqrG+PJybm2XWx2P4h70+ius+yV/ofEP= ekf/lbWPZK/0Oqs748rybm2XXB2L4ib0+i2seyV/ofETen0V1j2Sv8AROqs748rFq5tl1ye9Jni= HZJ2JvT6K6x7JX+jjq2PvLnj4r6v7JX+h1VndHleTc2y66OwfEfeP0Y1f2Sv9D4j7x+jGr+yV/o= x1FrdHleTc2y6+xdi+JG8foxq/slf6J8R94/RjV/ZK/0Ootbo8nKubXXk4dh+JG8foxq/slf6M6= NibzqjrRtbV5j+Er/Q6i1ujycq5tl1+I4jgl2P4ib0+i2seyV/ok7E3p9FtY9kr/RrqbO6PJyrm= 2XW+xOHZPiJvX6K6x7JX+h8RN6fRXWPZK/0XqbO6PKcm5tl1yCYdj+Im9PorrHslf6HxE3p9FtY= 9kr/AEOps7o8nJubZdbHY6tib0+iuseyV/onxF3p9FdY9kr/AEOps7o8pybm2X6PAD8C/WgAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD79v6Vla5rWLpOHTzfybkUUzPdTHnqn6ojmZ+x8D3n= 4P20/ENKr3Hm25jJzKerjxPfTa/wBL7ap/oiPSg9G25pGJoeiYulYVHVs49EUx6ap89U/XM8z97= 9EiOBAAAAAAAAAAAAAAAAAAAAAAAAAcVc8yzrniOzvcYJwjIBiLwgJMCgIkxyvADHjhO9mkwDHh= GRwDDgZcJPcDivVdSjmO/wAz4/O5r1XXrmfNHZDjmBWExDGaWcwA4+IThyTDGY4US3RNdcUx533= 00xTEUxHEQ48S31aetMdsudFYpLLhBEJXhBMJwjJOBUlOIZSgNRAGkAAAAAADl+1tbFx9Qp1PT6= 8eLmVcw6rmHVH7VNy3MVzEfbRFcfbw7PG29OqysKIxaJtaPdm1rU01TPhOra8NVM+jmabtv/dp8= 8g8+OXctH0zS8/B03WrmNTRj4l3I/lK1RMxE00R4W3H1daJ8H/ux5zWNP0rS8bUNWoxaLuPlZdi= dNtXJnjwVVMXq/t4iaKJ+2QdNHoVe2NPs39QsXMejjVbtVGi1TVPyafBeGpmPTz17VH31eh1nc2= HaxKMLDx8Oqi9i4VurOucT23bny+30cRVRT9sA/Dct+xXZtWrlVdqqLtPWpii7TVMRzMcVRE80z= 2d08T53bNcr0jQ8qNCo23j5seL26qsu7cuReu1V24q69E01dWKYmeyOrPZHa59O0HTM7L2xau0U= WreRpt7JyO2qJvVW670xE9WJntiimPkxzx3RyDo47nuCjbuVoGVkY06RayseqjwP8m2sziqJnia= bk3aer3czE8xPZL9CbG36922tq29vYtFrJot0VZc3Lk3qLldqKutT8rqxETPdxPPH1oPPHLTYrn= FqyYrtdSmuKJpm5TFfMxM9lPPMx2d/HDsmLGnaNtfT9Tu6NjapkZ927FVWVNfg7NNuYp6sRRVHy= p55mZn0cQ4rmLh5e2NSzsbTYxrs6pYt2bfXmubdFVFyepEz2zHMR39vZCjrZ//ALveh5ek6VXpu= qadXjaFZzcDDru8Yd3IuZFuu3x1uvXMTant5iY5757H5moXNK0W7i6RG2cbUPCY1m5cyrly5F6/= NyiKubU01RTTETV1Y7J/Z7fOg/A1XSbun6jn4dV6xXOFX1a6puRTNfbx8mmZ5n7I5fnO77ixMa/= rO9712x1rmNMVWZrj5VEzfopn7+JmHz6jc0rRqsTSPi1j5/hcazcuZNdy7F69NyiKubUxPFMRNX= EfJnu7QdVosV141zIiq1FFuaYmJuUxVPPPdTM8zHZ2zEdjG7buWa+pdt126+Inq1RxPExzH88TE= u5a1p+nadc3Jes6faqjT9VsUWbV6KpiKObnNE8TzxPViJ7eezvfRr1yjWt5YuJRomk26LOLZyL1= XhLlqmq3GNRXPhKpqniimO7jieI75lR0S1T4S7TbieOtVFPP2vs3Bptej65naXcu03q8W/Vamum= niKppnjnh2jcmHpdzRcPVcG3pVF2jUIxq503w8WqomnrcT4aP2o476eztfl9I1q7O+NfvRbrm1T= qF2ma+rPViZqniOfT2T/Mg66cw7xqEaNo+uWNufFrHz7dUWabmTcruRfvTcppnrUTTVFMR8rsji= e6OUu4Gk7ewtduXtOx9WvYOrxh49V+qqKOrxc5mqKZjn9mOznv+xR0gdy1W5pOheJafO3MTUJyc= W1k3ci7cuxXXN2mKuLXVqiKYp56sTxPbHa/I3zh42n7sz8PDsVY9i1XEUW6u+mOrE8T9YPxAAAA= AAAIiapiKYmap7ojzg7P0Z7Xubq3RZwqomMO1/hcqvjuoif2ftqns/p8zaaxat2LVFq1RTRbopi= mimmOIpiO6Ih1Dom2rG19sW7d+iIz8ri7lT54njso/3Y/pmXcmQAAAAAAAAAAAAAAAAAAAAAAAA= JEq5nsBhM8zyizCAnHApwCBMAJMIyAYizCAgpwCJwoDFxX6urTxHfLmmYiOZfLXM1VTIsOLhJhn= wgrCYSYZzCcA42Vqjr1xHm86zD6LNHVo+ue2RJZ+bgAQAFSYRkTAMeEZIIgvCA1CAaAAAAAAH06= ZnZemahY1DBvTZybFcV264iJ4n7J7J+9z2Na1Wzb1C3azblNOpRxlxxE+Fjnrdv3893pmPPL88B= 9mJqediadmafj5E28bNiiMi31Ynr9Weae3jmOJ57jN1PPzcHCwsrIm5j4VNVGPRMRHUiqeZjsjm= e30vjAfoX9b1a9Vp1VzNuVTptNNOHzEf4KInrRx6e30+iI7ohlk65q2RVqU3s2uqNTqivMjiIi7= MVdaOeI7OJ9HH8z80B+zjbp3Bj4EYVnUq6bVNE26Jmimblumf82muY61Mds9kTD469W1KqcGrxu= umrAo6mLVRxTVajrTV2THE99Uzz39r4gH6usbh1nVrMWc7M69qKuvNFFui3FVX+lVFMR1qvrnmX= DTrGpU6zb1inJ4zrc0zRd6lPZNMRTT2ccd0R5nwAP09H1/V9Js12MHL6lmuetVauW6blHW7ut1a= 4mIn64jlx5WsanlWsi1k5ly9Tk36ci9NfE1V3KYmIq63fHEVT2cvgAfuZO7dw5Niuxe1GaqLlub= d3i1RE3aZiYnrzFPNc8T31czHmYYO6NfwsGjDxtRqptW4mLczbpqrtR6KK5iaqP92YfjAPvv6zq= d+5n3LuT1q9Q48amaKf8ACcVRVHm7O2Ins4dq0TOro0nEt0b6x8TGooiK7d7EqnJx/wDSptVRRV= MR38cVU/ZHa6MA/Y1/XcjUNQ1auxVVbxNQy/GJtVUxM9k1dTme/mIqnuSNya3FWDXTm9W5gUdTH= ri3RFVNPHV6s1cc1Rx2cVcxx2PyAH6up7h1jUrUWszLiu1Tcpu026bVFFFFVPPE000xER+1PZHf= 5+XHn65q2dby7eVmVXKMzJjKv09WmIruxEx1uIjs757uIfnAP2sPde4cTDpxMfUq6bdFPUt1Tbp= quW6fRRXMdamPqiYfmxnZcadc0+Lv/drl2m9XRxHbXETETz391U9j5wHd9v51y3o+Nas73xcKxR= H+Es5OJVVex557fAzFFX2xxVT2+h1zdmpWtY3JnalYpuU2b92arcXP2urxERz9fEdr8sAAAAAAA= el9A2051fXp1vMtz4np9UTb5jsuXu+I/wB3v+3h5/o+n5WrapjabhW5uZGRciiiIj0+efqjvmfR= Etr9paJjbd0HE0nEj5Fijiqvjia6v86qftlJH60RxACAAAAAAAAAAAAAAAAAAAAAAAABLGFn0AI= TCgjCYRmkwKxOFnsQEFJgESYUBOEZJwCJwqVTERMyDhvzPHVj73C5J5meZ70mIkWGEpMMpiUFY8= Jwz4SY8wFmjrV8z3Q+hLdPVpiPP52QyicLMAMRknAIAAnCgqIyOAa3+TPfHqK5+db948me+PUVz= 8637zaAXKNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/= ACZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrf= vHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW= /ebQBkav8Akz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8me+PUVz8637x5M98eorn51v3m0AZGr/kz= 3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8AJnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3j= yZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfv= NoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/wCTPfHqK5+db948me+PUVz8637zaAMjV/yZ74= 9RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me9/UVz8637zaAMjyroT2Hl6FdydY1zGiz= nTzax7c1RVNFP8AnVdnZzPd9kT6XqpxHogQAAAAAAAAAAAAAAAAAAAAAAAAAAEmFBEADIAGE4SY= ZAZYIzmEmBWKcMkBBU4AcN6fldWO5yV1cRy4e8GKTDLhBWKTHLNOAYcSzs08zz6CI5nhzU08RxA= JwKCMTheAGIpwDHhJZAMRZhAAAfoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAgpwJ7oEwAAAnDGYZgMEZTDC52QK4655q+qGEwzlAYDKYSYBjMehG= REczwC2qe3nj7HIccAInDIBiLwnAJwjIBicLwgIKkwCcHCgPuAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOAEwkwKSCAgo4qp608s657OHHwJhJ= SWRwKx4RlwnAMeGVuniOfSRHayAOABBU4AABJhGQDEXhASUZJMAnBwqA+0AAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJ445VjX2iYYTzyjJ= OBWPBwoDEmF4POBTCgCcIyAYi8IAnCgIKnACKAnCMkQQ4ZU0zVVEQ5vB0ehRmAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABMseFnvBGMwkwz= SYDLBJhnMJwKxWIAE4FAQJAE4UBOEZJwCC8IBwigIkspgopmqrjzA5LNPEcz3y5OfqAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJVJAAAAE= wJMKAxmE4ZpwKwFmAEOABOOBTgEAASYUBiMkmARzW6eI+1x245q+qHNAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgnHCn3ggqcCgAAAg= nCgMOEZpMCsRZhACYAEFSYABlbjmeQZ0xxCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJg4SVAQAXIAGAATCJMMgMsOEZ8JMCsRZ= QDjlyUxxHEJRHnZAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAACJMCgIHCCqAAAInCcdrIgFAFAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAO04ARBUD= IAKR2qQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAHHaAmAAUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAmU5fkbu3Hpe19LjU9YvV2cTwlNublNE19WZ7uYjt4YbZ3PoW5sa= 5f0LU7ObTa4i5FHMVUc88cxMRMd09/oa5dfp9WPZiblMVenPu/a5OWq1vpe3roOu5+PGfb1DGt5= VyKbWXR1uIiueyKo4q7vrbI7M1ivX9radrNePGPVmY9N2bcVdaKZnzc+d6dVobumiKqu0vNptbb= 1EzTT3h+z5uSJ5dO6Yd31bI2Hm63Zooryommzi0V/szdqniOfTERzPHn4eDbL0bpw6QdMr3Hibv= vYWLeuTFqq/m3LNN3iZiZoot0zEUxMTHdH1PI9jarkeG5WD0j7J6MLtOq9IGlYesXdXpqt6hm36= 71qLE2uPBc3LVUxVNVMzx1fv8z07B3Fp+kbJ0nVNzbg06nwuHZm7m1XIotZFybcTNVHMRzFU8zE= REdnmgHZB1XTekXY+pVZFOBuXAyJxsevJvRRXM9S1RHNVc9ndEPmp6VejqqqKY3fpfMzx23Jj/k= DuY+LK1fS8XSf5WydRxLWn+Di541Xdpi11Z7qutzxxPMPwNN6SNi6nqFjTsDc+n5GXfri3atUVz= M11T3RHYDtg8p6LN1alas7l1DeG/ND1jBwq7c0V4nERiUzVXExc4tUds/Jj/O7pdlsdKXR5evUW= qN36V1q54jrXurH889kA7iJTVTXTFVMxVTMcxMd0qAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADy/wCE5+7G5/F2v+bqXwR+7c3= /AA3/ALrtvwnP3Y3P4u1/XLqXwRv2dzf8L/7r7Vr7sq+v+HxLv3jT9Hie5P8AKHUv4u7/AG5be9= EP7sdv/wADR/U1C3J/lFqX8Xd/ty296If3Zbf/AIGj+p6uNfYW/wB/Dz8H+3ufv5dD+GBjX7/Rf= i3bVM1UY+qWrl3jzUzbuUxP4qoj73Yvg46jg53RFotvEv267mLbqs37dNUTVbriursqjzc9/wBk= u5bm0TT9x6Fl6LqtiL2Hl25ouU88THniYnzTE8TE+mHgWb8GOvxu7Vp28PB48zzRTew5muI9EzF= cRP28R9kPzb9G7V8MCf8Awtxv9q2v7u68d6UMvJzNf2Fpl/TsnVMTH29p82sC1VVE5M1URNUR1Y= meZ4insjn5L1ijoLyqejC9s6rc1mq7c1enUIyZxZ4iItdTqdXrffzz9z9je3Q1i7k0Lb1q1rN7T= ta0TBs4lrOtW+YrptxHHNPWiY7YmYmKuznzivP9sY2NOi7xrp6KMzaVdvbGfNObeuZExXPUiPB/= 4SIjmYmZ9PyX42wdibY1b4PmvbozdPmvV8SMmbORF2uJp6lFM09kTxPb9T1HQeineGLa1bH1jpF= zNWxtQ0vJwabN6m5VTRVdo6sXOJrmJ47X6u0+jK/oXRJquxatYt37mfF+IyosTTFHhKYj9nrdvH= HpEa769m5eR0NbD0i7l3KMK/qGb4Tmrsjq3KIp/m8JXx9rZTbnQ/sHRM7C1LT9GqpzMOqm5avVZ= FyqrrR3VTHW45+516joP0/J6LsTZ+p6rNzKwsi7kY2fZs9WaJrntiaJmeae7mOY7o7YfPszoh3h= oGv6Zm3ekjPzMDCvUVThzF2mi5RT/mcTcmIjj6uAeadE2p6JpG0OkrL3Fg1ahp/hseivFprmnw1= U3LvVp5ieYjrcdvoj7nXN3VafnbOu52n9EWZodiuKLlrVqb+RctUUzVEd9VPVmKu7v75h7hoHQZ= bxNu7o0XUtc8Yt65ctXbdyzj9SrHrt1VVUzxNU9btqj0d0+l+Fe6BN23dH/kW50l5NemRTFEYlV= i5NrqxMTEdXwnHETEcfYD0noAy8jN6H9u5GVdqu3IxqrfWq7+rRcqopj7qaYj7ne3XOjPbde0Nk= adty5l05dWFTXTN6mjqRX1q6qu7meP2uHYwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAeX/Cc/djc/i7X9cupfBH/AGdzf8L/AO= 67b8Jz92Nz+Ltf1y6l8Ef9nc3/AA3/ALr7Vr7sq+v+HxL33lT9Hie5P8otS/i7v9uW3vRD+7Hb/= wDA0f1NQtyf5Q6l/F3f7ctvOiGf/DHb38DR/U9XGvsLf7+Hn4P9vc/fy7NnV1W8DIuUTxVTaqmJ= 9ExDVLYm6OnPe3js7d12rIjCqoi914x7fV6/W6v7VMc/sy2r1P8AxZlf6mv+zLX34Fn/AJW7P9Z= i/wBV5+bfo4fNsTpR37t3pKs7Q6RqvC05N2ixVNy3RFdmqv8AYrpqojiqiZmOe/7uJeoba1nduT= 0raxpeoZej16FZornFtWL9qrJpmJp469EVdaI7Z74jzPFfhN128zp10jGwZivJoxsWzXFM9sXJv= VzEfbxVT/PD7sXUcnSOnLpL1PDq6uTi6TmXbVXHPFcRb4nj6pBsVnbk2/p+TVjZ+u6Xi3qe+3ey= 6KKo+2Jnl1rpG3RmfE69n7G1nQr+ZayLdFV29mWvA0xPPMTVNUUxPojl4r0KdFW3977JzN0biy9= QyM25lXojwd+Kf2YieapmJmapmZnnn0OmaHER8H/c9Md0a3iR/wCmoHs/TdvzXdv9F+3snA17Dx= dx5FePVmU4tdq51qarNc11Ux2xNE1xHFUdnd2vS9qbq0jM2liajka7p1ybWJYqzbvjNHFquumP2= 5ieKZmrmO3jta9dN+29Lt9C+yN1027n8qXMPAwaq+vPV8F4tXXx1e7nmO93bL2z0d7G6FcnM1TE= zq8PW8bCqy7Nq/M3L92ni5RTRM9lPbNUz9UT9gPXMfde2Mm/RYxtxaReu1zxTRRmW6qqp9ERE9r= zLpX3duLSOmnZ+habqdzH03Pmz4zYiimYuda9NM8zMcx2dnZLwLeU7Mu7fjJ27s3cek3+vTVby8= nIm5Zqp9Hd5+Y4mJ9DvWtZuVqO/uh/Nzb1V/Iu4GFNy5VPNVc+GmOZnzzPpBtTAQAAAAAAAD8Pf= G4MbbW28rVL/wAqqinq2aP9O5P7Mf8AOfqiXgHlU33zP/xqI+rxWz7gNmxrJ5VN9+u49ks+4eVT= ffruPZLPuLgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNj= WTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w= 8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMD= ZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZL= PuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7= hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx= 7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/Xcey= WfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTff= ruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367= j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyq= b79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+= /XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsay= eVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHl= U3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbN= gIAAAAPL/hOfuxufxdr+uXSfgp52FiVbioyszHsVXZxvBxduxTNXHheeOe/vh7zq+mafq2L4pqe= Fj5mP1oqm3eoiqnmO6eJfkVbE2ZMdu19In/AISj9Hvt6ymnTTYmO85y+dd0lVWpi9E9vhrruLok= 31d1LNzsTSrWXYu37lymbWVb5mmapmOyZh6F0e9It3auiYW3t57c1TR7WHbps282rHrm3VEeers= 7Pu5ek2NlbYxuZw9IsYcz3zi1VWZ/nomJc8bdtW4mnG1LU7duqOKrdzInIoqj0cXet2fZw6XuIc= +iKLsZiP0Ys6CbNc125xMvtsZeJrGj13tOy7GTZv2qot3bdcVUzzHHfDWvTPg/9JGmzd/k3dmmY= XhJia/F8zIt9bjnjnq0RzxzP873jE2dj6ZkXM3Rb9Om5NUzM02LfVsXezs8Ja56sz/81PVn63Z8= abk2om7TTTc4+VFM8xz9T51WM+z6VE1Y93h3RZ0E39A3RZ3LurWLWpZuPc8LZs2Yqqo8J5q6q6+= 2qY74jiO2Inme5+3onRdnWeljc259Uv4ORpGtY17H8Woqr8L1bnU5ir5MRHZTPdPnetJMcstNVq= 9nZ+1bmda2X0y6BjaZc5uV2bupRbrniJ7Jpp60TPHZzHHPofN0PbM1Pe/Q9uLR9Ov41i7d1excp= u5E1RRPUo5qj5MTPPyo8z2SvoG6Na7lVyrRsiaqp5n/AL7e7/xO97b0DSNt6Ta0nRMG1hYdrnq2= 6OZ5nzzMz2zP1zMyK6HvXozydzdD2jbNuZ9jH1DS7ONNF6Imq1VdtWptzE9kT1Ziqrt457ux1ux= 0R7y1Xo+z9r7t3VjZUW6sevSK7XWuU4824rpmmrmmmZiYqpjvmY4+rt7rujU83P3nZ0rCuX7GNp= trwmfNNVdEVTdpmLcxNMTz1erNXFUxEzMejs65rd/eutZ1i9GHrODHgZt0049FVvwXhOrz1p5+X= VT16O2eI5t3PNPLtRYmr5eeq/jtDquq9EfTBqm3adu5+9tIyNLt00UU49ddziIo46kcxa57OI87= 9+50Sa/Xruws/wAf0zwe3MbHs5Udevm5Nu5NUzR8ntjifPw7Bcyt5YOhYFjBwL1zxm1NNyK4u1X= LHWimmOZqmaoqpmvv7qot1TERzD6NG1HdOu61gWNS0vK0/CouU5VdUW6rfbFuKvBVVTPyoiq5TH= PEczbq7OJ7HJnGcrzo7YeiUqlKuLsAAAAJVPCuidM27I25tmbGLd6uo5vNux1Z4qt0/wCdX90dk= fXMegHlXTduyNwbknT8S51sDT5mimY7q7ndVV/RxH2c+d5+faKACgAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADdABkAAAADgAODgAOCIiO4AAAAAfLX= p2Bczac65hY9WVTTFNN6bUTXERPPEVd/D6erT6FBMJ1Y9BFMQoKAAAAATPAOLMyLGLi3cnIuU27= Vqia66qp7KaYjmZaqdIG5L26dzZGp1zVFjnqY1uf8AMtx3R9s98/XL0/4Qe6/A41G18K5/hL0Rc= zJj/No76aPv75+qI9LxBYABQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAABugAyAAAAAAAAAAAAAAAAAAAAAADG5+yANXemD94+sf62n+xS6mCgAoAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//9k=3D= " width=3D"793" height=3D"1121" alt=3D"" style=3D"margin-left:-1pt; positio= n:absolute" /><img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAY= ABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEB= AQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAAbAE0DASIAAhEBAxEB/8QAGwAAAQ= UBAQAAAAAAAAAAAAAABwUGCAkKAgT/xAApEAABBAMAAQQCAgIDAAAAAAAFAwQGBwECCAkREhMUA= BUKFiEiGCUy/8QAFwEAAwEAAAAAAAAAAAAAAAAAAAECA//EACkRAQACAAYBAwMFAQAAAAAAAAEC= EQASITFBUQNxkfATImEygaHB8dH/2gAMAwEAAhEDEQA/ALAbx6gFUHCruua3rKsFMMDvK/BjZu2= mcwdmDZDW+LBBRGGRYS3M6bOyDrRuPBR8MxTTQatUEUk9Go5nvujzW3N/m+6DizK0o6FqbmeLnG= qRiK1tedm26ftJ0HdJ4cMNZg3jZduPhxR033S3cDFMvXg7ffZF4gi4TUQ1DjUFHp95X/HtX1jtG= j+vMdg+QCyRAYpjTcPIbgrE/dUprRB6grn4FnkcMMk5QE13122/asENE9d9lM6ZcD3yLdzI0R2h= NAl83CT7Urt/ZDeV8go8yOCkS5trYN0fXsL2s8JJW8FS+6+iVIF5XN443LyCQNp+mOeGmjF21EK= I75QhG5S1Va1V6/c29TGEPGOaaqynLmVVZ0n5DeivTHcTv/oqsb6R5H7biswo6/zAR/JqzMArSm= cgqO9I6I2/7l9WUpWKtt1ioVPbRcvGSCSRhmh7190fj11yoSWJnproe4bApHmWTvI8ypSLBZX0H= fVjy+ekINWmZQyfFYrBQQNjJWDmY2KcCMFpAuLw/Yj4+Eci3pV3osWHN1mF5GZrA7Y8aNMXvGul= pv1VN6i8idFo863tPapzVUrLE5OeZx2YQmOqpxeHpS6OrRAhJ3hMoNE5HkHUc0YPfsPY5ndB78/= T6q4QO8jXAnQBpKuMd1OJVcHPFklXbIKIs0zJaNhVYyylxUkKbIimtiRArWwwuCjT9ym5PBZfs5= EJqrNXSP4EIxnu/cLlWyzLw+51V+k/SieWm0lBlWaVWINFrrduv8XgftJJ1jV1HVv1jM7KK3Nyz= OZElFJjJGidg1PbVEE3koViI0xY0FdziRMlYo8K/RWXfJP2bwWFLhzLhtuye/Lp4Zl0nI5b0Xjk= +sOi67qGaBq2dW9Zln37c8hDRWBwJogs9xkPH1pgJfTGSKjGrs45HNXrVsGjzfcyTX0bKoZ3APK= sIiPEfgmeePSS5Jp9w972bcZUnz2SeiSk4rlmYsJhVyNlyEKIcO14pXounKlhk+SOG9m6T82a2R= GLrOHCLNKQEAhXKzqy+v8AmbsOrqIlqnW4qt57yjL+icaAa4K27X1QDKoJVgpZSOiJuEyfdyAFy= cQmDKMCxYWXL6CcPXbdZv8AhljnC6qN5RDkD8/7d4bCB5IRuhtY5mmq4sdSzfbCGPuO44dSy/W4= XqSOdh8fxmfK17c9h1i9sWBz2jHO0n/q7SdyOJuZiabG63cOXIo8qTaKtSDWEGB0ty2WH7OstyX= OLWuKVTKa11T1hsYKIp6t07h6S6LuGxZ3pU9BVw51eKBnBFgOkCL+Uy6TpCyboJH2jlsjoOYOHz= t1jZRk2dxFuvPcPOXJ9wcqZ6Fqo4968aTzmioPHdI5Nv0TYcBqGVR4hUhu3x12JZZy6PxCFi/t2= XGSVgJEhI6JtI4D2cInd8M2xUBs4PXAHsnjW3Fa70U7RgNGlucZbeshMwqoLJtujGIRq7o2cT8S= QFbxM0fzFhRuItXxRFscWIk09ESe7RYU/piZxXcdO6y+9b/5gfH4zyRjdXGX25nVMtCK8Mni67M= eOM9GWI3gkxvSuevYx2vR1Rrx9XohjBGVzUzdlHxOULKIjLWVgM2O4cS2tNMprOnZVog2zqIbuS= LN07+i7R10HeLWVGpMn0u1eSo/IwY6wK9fRz9wfJyBJk2PVXHXbvIpwYdPlWrIhugi+2bNlE2m7= lRd5hHDh04VVoL6GmthjrX6E6Cv2CVXTF59F8AN/HFzHxTVNsxa47Cswkdlw6SnbqmOYcq5YgK6= r9qL1RZHjCnwiophdu9eNyWGg97dz4co+tE490FFnK/2nEbNUkBXc+u2cOFxFKxwestrnbGNs6q= qN9t9c5xjOdc49cev4yo+SKB+mWxVbb12aGnBi4wgebxxrRjNYqpplRpdxd8YfLn8j7Cddx9D8v= 29KRnOz6hO4b8kfLPUcc0dfs6pt6HdDT4jGy01TWV2bLRQ5ursHkGc4SHJs1vcV1wOwuu31HVX5= 1OrYRChQK+vHVP7qm2g9m3Y2/ypOIJKams7OqOmjWTN9Cb5uTiTQtrjV2okRw4bMsLb6Jb7I667= Zx8d28w0aZ7f7IMEoP8AYIleqehCRBxiSy9D7D19bcudOl/hbn0kEsquFVFPjRSTS093tT000xr= rgZxSFMYAJ3AweR2dEAm+m+mREbuO2gw3Gu+ce/2MR81QbJ529c+uyaeu2fXP+fxhW2h13t3eKp= 3jVNNN6e3Zv+e8XG+VDyg2VLJXAL769GQytlqaIPpVyF4+4zLh01Oa2a7HOBjG8egzwPfA9vvFx= zp6lHGDVPVBsu9dNhqi7h0R11hBzj5KeufJO9sWn1Kh5OKB4dCmE7NCrXjsvPAiiT2ewyuhDFiP= Fi5KvkqtI5yFxo6UZoIMmmrt2q8SwjjXeAZfmelz5B0XOxUiaKvVdlnhMtN58RIO1tv/AEq5ePJ= Qs4XU29Meu6qm22fT/Ofwl0/AYzRBY6cqJEvBS0kCpRw29ESmU7KkAyRoVI27RXD0y7T02ZyAAE= NMXSOiTxgUFMXzNwg5bpqajEUUFNn5898GSK5pBKXb1pxtxg82F3r0B4843AZZG6E4fizS/GDyR= QzepB7/AAamMIDNxjF9MCmG6LMkOBDZ3tKaq3YSDdkUTsOs7FD6CsJRvd85enP3ks7b8kGLCqeP= UFyzPUYtHBUmMwuxGBR63PjnskGR5XUGLeakUipQQkRWPOWaOmj79KLKOGOrhyho2VhXMaSrifN= 4k0mYkxJW8Fj5CLRBMtNJu6wAjxWay6xiQphtvI/fo1fTmeTGUOdd9t91S8iJudt85X9NV2rawi= NMF8yKqdJJADuXgF/+3jE6nQx/h5GTjORgXGrlCSYV1UFnB7Mk1zrtj2uW+mdsba+7XM5IXeUvv= 56YX0vHd5I2c1rx/wAMSGsLvK7PHu2RUjlJ8PRGeHcif7fC6wikxHTAGIkYnSSwwgfOLR8WDKDp= JHV2RtmzDyQquLSetUCrNg9wogi4OffK71p5AJHKqKWqrlR8xRhD+Yv4/ZwaSn2EqQHHY6CRj0a= iTBnITEvlaz6SsyDYIEDviqQQaeON0FEwy+uY6WHG2VsRYDCbHISqYxWNkHhIMGNTeZuG7R883W= yo4331P6OHe6WrhdFlh6s51GtllGo/Vq23yllCqisIZSZ97J6sYk4abJiVQBJ4NlEqW1IB1iA0v= 9B60fmnjJ0igYDhzLLK7ZTdgZECy7HduRHM3KLyR00NNTDfHBczEs0Hn5pg6T7ubp3x5x+qLAZ8= gcm1mn0FGjhYUQhMLNBjaGI0WQYkYrJ13TMWSYlUGD2OSNQFsptq2ESEGq8SbPt1WrfXr/Fu67n= vbvPHWd12GHj8dkX/ACIARHZhGk3Wo3LIDUkNWar41drKrYXUySVwr/v7c4109uMemfXFvacXZ3= SNbjLaMTexB7A44kg9nLbGsA0gNNvhYwG+IDU3kmUwOVfCw4tq+0ZfAi8+g2WcpKuEtVfzZ5/FU= raF1lyF0YLhAbIRiR6Ry/eIYJFiXzO8VjBm+FflLP36yfoiknp8aSmiX+vu9nvzttkyR3ovDIRi= 5gpqr5r+sf/Z" width=3D"77" height=3D"27" alt=3D"" style=3D"margin-left:441.= 05pt; position:absolute" /><svg font-family=3D"Times New Roman= " font-size=3D"16" height=3D"41.33" version=3D"1.1" width=3D"209.31" xmlns= =3D"http://www.w3.org/2000/svg" style=3D"width:209.31px; height:41.33px; fo= nt-family:'Times New Roman'; font-size:16px" xmlns:xlink=3D"http://www.w3.o= rg/1999/xlink"><defs /><g><g><path d=3D"M0,0 L209,0 L209,0 L209,41 L209,41 = L0,41 Z" fill=3D"#7c7c7c" fill-rule=3D"evenodd" /></g></g></svg>= <a href=3D"http://www.anatomiadigital.org/" style=3D"tex= t-decoration:none">www.anatomiadigital.org</a>ISSN: 2697-3391</= p>Vol.</s= pan> = 8 No. 2.1, pp. 19</s= pan> = =E2=80=93<span= class=3D"awspan" style=3D"letter-spacing:-0.2pt; color:#ffffff"> <s= pan class=3D"awspan" style=3D"color:#ffffff">33, abril - mayo 2025 Revista= en ciencias m=C3=A9dicas, salud p=C3=BAblica Art=C3=ADculo de revisi=C3=B3= n bibliogr=C3=A1fica.L= as <spa= n class=3D"awspan">causas de hipoacusia</sp= an> tras una lesi=C3=B3n<sp= an class=3D"awspan" style=3D"letter-spacing:1.3pt"> en </sp= an>la cabeza se</spa= n> clasifican en dos tipos: </sp= an>da=C3=B1o mec=C3=A1nico y</span= > da=C3=B1o neurol=C3=B3gico; el <= span class=3D"awspan">da=C3=B1o mec=C3=A1nico<span= class=3D"awspan" style=3D"letter-spacing:-0.5pt"> ocurre = cuando el o=C3=ADdo <= /span>no logra = transmitir el = sonido al c= erebro, </span= >interfiriendo con l= a <span= class=3D"awspan">capacidad del o=C3=ADdo</= span> para convertir las<sp= an class=3D"awspan" style=3D"letter-spacing:1.8pt"> ondas sonoras en se=C3=B1ales</span= > que el cerebro = pueda <= span class=3D"awspan">interpretar. Por otro= lado, el da=C3=B1o<= span class=3D"awspan" style=3D"letter-spacing:0.9pt"> neurol=C3=B3gico afecta directamente la </spa= n>capacidad del = cerebro </spa= n>para procesar = el <sp= an class=3D"awspan">sonido, incluso en</s= pan> pacientes cuyos o=C3=ADdos est=C3=A1n <= /span>sanos y func= ionales, </sp= an>en este caso,</= span> aunque las estructuras</s= pan> del o=C3=ADdo no est=C3=A9= n <spa= n class=3D"awspan">da=C3=B1adas, el cereb= ro <s= pan class=3D"awspan">no puede interpretar= <spa= n class=3D"awspan">las se=C3=B1ales audit= ivas, = lo que tambi=C3=A9= n <sp= an class=3D"awspan">resulta en una p=C3=A9rdida de la audici=C3=B3n. (3=E2= =80=935).Mec=C3=A1nica= mente, = la p=C3=A9rdida audi= tiva <s= pan class=3D"awspan">depende de la<s= pan class=3D"awspan" style=3D"letter-spacing:1.1pt"> fuerza= externa que causa </span= >el trauma, cuando el <= span class=3D"awspan">trauma afecta dir= ectamente </= span>el o=C3=ADdo interno, <= /span>como en el<= /span> <span= class=3D"awspan">caso de una<spa= n class=3D"awspan" style=3D"letter-spacing:-0.15pt"> fractura del hueso temporal,</span= > puede provocar p=C3=A9rdida</sp= an> auditiva debido al<span= class=3D"awspan" style=3D"letter-spacing:0.6pt"> da=C3=B1o= en estructuras que = van desde el canal auditivo= externo hasta la c=C3=B3clea= ; el = sonido viaja a tr= av=C3=A9s del canal auditivo externo, h= aciendo </span= >vibrar la membrana<= /span> timp=C3=A1nica, cuya vibrac= i=C3=B3n </spa= n>es transmitida p= or <spa= n class=3D"awspan">los huesos de la cadena osicular hasta<= /span> la ventana oval. En</sp= an> este punto, la energ=C3=ADa mec=C3=A1nica<= /span> de la vibraci=C3=B3n induc= ida <sp= an class=3D"awspan">por el sonido<sp= an class=3D"awspan" style=3D"letter-spacing:0.8pt"> se </sp= an>convierte en una<= /span> onda de compresi=C3=B3n</s= pan> del flujo a trav=C3=A9s</spa= n> de= la c=C3=B3clea, esta </spa= n>variaci=C3=B3n en el <sp= an class=3D"awspan">flujo activa las= c=C3=A9lulas ciliadas cocleares= , <span= class=3D"awspan">que inducen sinapsis en</= span> las neuronas cocleares</span= > que forman el octavo </span= >nervio craneal. Posteriormente,</sp= an> la se=C3=B1al es transmitida= desde este n= ervio <= span class=3D"awspan">al n=C3=BAcleo coclea= r <span= class=3D"awspan">del tronco encef=C3=A1lico y finalmente l= lega a la corteza auditiva en el l=C3=B3bulo temporal. (6,7).Uno de<span= class=3D"awspan" style=3D"letter-spacing:-0.25pt"> los <= /span>efectos m=C3=A1s significativos de la hipoacusia es la dificultad= en la com= unicaci=C3=B3n con otros individuos,</span= > obstaculizando las interaccione= s <spa= n class=3D"awspan">sociales de quien</spa= n> la= padece, como consecuencia,= se puede afectar<sp= an class=3D"awspan" style=3D"letter-spacing:3.8pt"> la </sp= an>productividad en el <sp= an class=3D"awspan">entorno laboral, famili= ar <spa= n class=3D"awspan">o emocional desatando = efectos </spa= n>emocionales profundos,<spa= n class=3D"awspan" style=3D"letter-spacing:3.15pt"> como <= /span>aislamiento, ansiedad<= span class=3D"awspan" style=3D"letter-spacing:3.15pt"> y frustraci=C3=B3n. (6,8).A lo largo = de <spa= n class=3D"awspan">la vida se han = identificado factores de <s= pan class=3D"awspan">riesgo y factores</spa= n> protectores que influyen en</s= pan> la salud auditiva,<= span class=3D"awspan" style=3D"letter-spacing:1.45pt"> entre los factores<s= pan class=3D"awspan" style=3D"letter-spacing:1.45pt"> de <= /span>riesgo se = incluye: </sp= an>predisposiciones gen=C3=A9ticas, = problemas </sp= an>de salud perinata= les, <s= pan class=3D"awspan">infecciones del sistem= a <span= class=3D"awspan">nervioso central y= del o=C3=ADdo en la<sp= an class=3D"awspan" style=3D"letter-spacing:1.85pt"> infancia, exposici=C3=B3n laboral= <span= class=3D"awspan">a sustancias qu=C3=ADmi= cas <s= pan class=3D"awspan">y ruidos, traumas</s= pan> en la cabeza o<span= class=3D"awspan" style=3D"letter-spacing:0.15pt"> el </spa= n>o=C3=ADdo, tabaquismo,<spa= n class=3D"awspan" style=3D"letter-spacing:0.15pt"> uso </= span>de medicamentos otot=C3=B3xicos y deficiencia<sp= an class=3D"awspan" style=3D"letter-spacing:0.15pt"> nutricional, en adultos mayores= <spa= n class=3D"awspan">se destacan tambi=C3= =A9n = la otosclerosis y <sp= an class=3D"awspan">la degeneraci=C3=B3n neurosensorial. Entre los factores</span= > protectores se encuentran</sp= an> la nutrici=C3=B3n adecuada,= <span= class=3D"awspan">la lactancia materna, p= r=C3=A1cticas= adecuadas de higiene </= span>del o=C3=ADdo, la <= span class=3D"awspan">protecci=C3=B3n frente a = ruidos y traumatis= mos craneoencef=C3=A1licos, la vacunaci= =C3=B3n </spa= n>y un estilo</spa= n> de vida saludable.<sp= an class=3D"awspan" style=3D"letter-spacing:1.05pt"> Fomentar estos h=C3=A1bitos ayud= a <spa= n class=3D"awspan">a disminuir el<= span class=3D"awspan" style=3D"letter-spacing:1.35pt"> impacto de los factores = de riesgo, = promoviendo <= /span>una mejor = salud auditiva a lo largo del tiempo. (9=E2=80=9311).La base del = diagn=C3=B3stico es la </spa= n>elaboraci=C3=B3n de una </= span>buena historia cl=C3=ADnica, es as=C3=AD<s= pan class=3D"awspan" style=3D"letter-spacing:-0.55pt"> que, durante el interrogatori= o <spa= n class=3D"awspan">se debe recopilar</spa= n> datos como el tiempo </s= pan>de evoluci=C3=B3n e = instauraci=C3=B3n, adem=C3=A1s, es</= span> necesario preguntar si</sp= an> el paciente experimenta</span= > s=C3=ADntomas = complementariosEsta<spa= n class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spacin= g:-0.2pt"> revista est=C3=A1 </span= >protegid= a bajo una </spa= n>licenci= a Creative Commons en la 4.0 </span= >Internat= ional. Copia de la licencia: <a href=3D"http://cre= ativecommons.org/licenses/by-nc-sa/4.0/" style=3D"text-decoration:none"></a= ><a href=3D"http://creativec= ommons.org/licenses/by-nc-sa/4.0/" style=3D"text-decoration:none">http://creativecommons.org/licenses/by-nc-sa/4.= 0/</a>D</sp= an> i a <= /span>g n =C3=B3 s<s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-s= pacing:0.45pt; color:#ffffff"> t i </span= >c o= M =C3=A9 d i<s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-s= pacing:0.45pt; color:#ffffff"> c oP</span= > =C3=A1 g i n <= span class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#= ffffff">a 23 |</span= > 3= 3<img src=3D"data:image/jpeg;base64,/9j/4AAQSkZ= JRgABAQEAYABgAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFhwXEx= QaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh4eH= h4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCARhAxkDASIAAhEBAxEB= /8QAHAABAQACAwEBAAAAAAAAAAAAAAECCAMGBwQF/8QAWBABAAEDAwAECAsDBgsGAwkAAAECAwQ= FBhEHEiExExQXQVFVlNIIFiJUVmFxgZKT0TI3dBWRobGysyM1NkJSc3WChMHTGCQnM6LDJWJyJk= NFRmOjwuHw/8QAGwEBAQEBAQEBAQAAAAAAAAAAAAECAwQFBgf/xAA1EQEAAQMCBQMBBgUEAwAAA= AAAAQIDEQRSBRMUMZESIUFxMzVRYYHwFSJCodEGIzKxNMHh/9oADAMBAAIRAxEAPwDpoD+lPxQA= NEosoAAECSqSLKAKgAkkJPeE94pIACT3Is9yAABAkqkiysBAIkosoKkrHckrHcqACCSEiwACglX= mVKvMCEhIIAKAJJAAQsJKLKKSACD9HDteCt8z+1V2y+XCtde51qo+TT/W/RYmWK5+BjPeyYz3ss= wANKAAJKpIAAADIAKgAqsZCQPgAlCEqnsYkiNQkosoKMZ7e1ap8zGGKpy1TAksuWNTDeQFpjsIg= mQWYRqUhJ7wnvAAASUVBRJUnu5QYVT5mE9yzPM8pPc5z7ukIkwqpgliLKfZ2osLTT1qo9Dk+5KY= 6sfWy5daacQ5VVe76AHocAAaJRZQAAIElUkhZQBUB9uBpebm4OdnY9masbAt03Mi5PZFMVVRTTH= 2zM931T6Hb+jros17fGi3tV0vO02xZs5E4805FdcVTVFNNUzHVpmOPlR/S897VWrNM1VziOzrbs= 13JxTDoU96PY5+DxvD1tof5t3/AKZ/2eN3+ttD/Nu/9N5f4tpN7t0N/a8cOXreV8H/AHxZpmbWT= o2R6KaMiuJn8VEQ6JuzZe59rXONc0jIxrfPEXojr2pnzcV08xz9XPLva12nvTiiuJlzr0123Gaq= XX57kWe5HrcAAIElUkVYAESUWU5gWElY7klY7lQAQSQkWAAUEq8ypV5gQkJBABQBJIACFhJRZRS= RaYmqqKYjmZ7kfZgWv/vao+qlJnDMziH02aIt24pjzd7MHNyGM97JjPeLAA0oAAkqkgAAAMgAqA= CqxkJA+BJWUSSElJhkiNMZRlLCe/hJnCwkx28oyYzDm3EiSqSKR3s0pjiFVBOFFGEwMp704BAQC= UVEX4GFc89jKZ4hxpVKwhCjnhtAEBaKeZ59COWmOIappzOSZSUZVMeJdXPD6QHVxABolFlAAAgS= VSSFlHPp2HlajqGPgYVmq/k5FyLdq3T31VTPEQ4GxXwZ9gzh4kby1SzHh8imY0+irvotz2Tc+qa= u6Pq+15Nfq6dLamue/wAO+msTfuRTD6N57OxdlfB71LTbc03MqvwNzLvRH/mXJuUc9v8Aox3R/w= D3L7fgm/u6zv8Aa1z+6tP3/hDTHkk1iP8AVf3tL8D4Jv7us7/a1z+6tPy1Vyq5oaqqu81f+n26a= Io1VNMfg9T1vVcDRdMvanqeTTjYlmIm5dqiZinmYiO765h1WOljo9nj/wC02L+Cv3XF0/8A7pNc= /wBXb/vaGnTpwzhlGstzVVMxiWdbra7FcU0w3m0Ddm29fqmjR9bwc2umOardq9E1xHpmnv4+5+n= nYuNnYl3GzLFvIx7tM03LdymKqao9ExPe0MxMnIw8q3lYl65Yv2qoqt3LdXVqpmO6Yluf0S7hvb= o6P9L1fJqpqyq7c28iYjjm5RVNMzx5ueOfvcuI8MnR4rpnMNaTWRqM01R7tcOnfYNGy9ft39Opq= /kjP5qsRM8zarj9qiZ9HbEx9U/VMvN23PwktMtZ/RVnXqrcVXMK7ayLc+emetFM/wDpqlqfpUzT= qeLNNm1fmL1HFu9zNFfyo7KuO3ifPw/QcJ1VV/TZq7x7Pl66zFu9iO0vedP6O8Kvoyo29XoVVWu= 5GlVanGp+Kz1aLvXiqjH8Jx2VdXsmOfNM+d0jb3Rxo2dtjb+rapum9p97XMivGxrNOnzdiLkXJo= iJqiuO/iPNHe9Kubc6b691U6/Tq2k0RExP8n05t6MTiKerx4P0T39/f2vl1HY3ShmWtIteKbUsW= 9J1CvPxrdm7dinwlVybk0zz/m8zMREcdnnfJt6qujMc2Pec9/r7f9PbVYpn+ifb2dH0Dojrz8/V= sHLz9Qt3NPz6sTwuPp/hbVcRETFXWmunie3mae3jsfp6T0c7Z0zTd9YW48+u5l6NNiLeXasVT4C= iunrU3IoiviqaueJpnu6vf2ubeWsdJG0IzLm5Ns6Jm6fnZ3jkVXLNV6xavcRT8maa4mn7Kvr487= 8nae6N+7n3BuTU9I21pesRqduxTqWHctc2OKKerbmIqrie6mrzz5/q49M16u7RNfrj0+3aY/Jyx= ZomKfT7vjwejrQ6NO0S/rW6b2De1+5VTptu3gzcjq9aIoruT1o463NPZ5ut9U8fTp3RRh0xkU63= uSvBu29bjR7UWcKbsXblUUzRVz1o4iet9z5r2+Nz7UvWdC1vbeiXcrSrs3cOnMx+vXhTX8uIomm= rjiOYmO/js9Ecfi0dIm4PFqbV+nEya41mjWartyietXfpiOIniYjqdndERPomHoijX1xmmr2+sf= 2/RxmrTU94di3H0V4Gn2cy5p25pz69O1CxhZ1m5gzamibtVMRMT1pir9qP1fqal0c0a/u/WsOa6= 8K1pVy3i0fyZpEeBqiaIq5nm5z1uZ7eZqn6+50zL6SNcyKtXm5i6fH8rZtnMv8AFuv5NdqYmmKf= ldkT1Y555+52La28d87o1DW7OnbY0fXIzr1Gbk4l6zM27VcUxRFVPNcT3RHfM/c5XLeuop9VVXb= 5zHzhuivTVTiI7uldI21ruzt15GhXcujL8FTRXRepo6nWpqjmPk8zxP3y69Hc7V0sZu4s/eV+/u= jTLGnal4K3TVYsxxTTTFPyZ/aq831v1dS6JN1afs+rdF+5p04NONTkzFN6qa+pVETHZ1e/tjzvq= WtTTRao51UZn+7x12Zqrq9Ee0OgAPY86SEuy9H+ydY3vn5OFo1eLTdx7UXa/D3Jpjjnjs4iWLl2= i1TNVc4iG6KKq5imnu60P2d6ba1HaWv3dF1WbE5NqimqqbNc1U8VRzHbMR6X4zVFdNymKqZzEs1= UzTOJEq8ypV5m0QkJBABQBJIACFhJRZRRnZom7ciiPv8AsfqUxFNMUx2RHY4cK14O11pj5VTnYq= lyqnMgDLIxnvZMZ7xYAGlAAElUkAAABkAFQAVWMhJIfCSIqSsAIglUsOGVU9qcszLpEIKkwipwc= KSQSACZABUnvRZ70CA4AVEmGTGqeIQYVT2sPOySYYlqEARUAjtngwZZW457XIkRxHBzx3ukRhMk= osoqPoAdXAAGiUWUAACBJV9eiaXm61q+LpWnWpu5WTci3bpj0z559ER2zM+aIZqqimJqntDURMz= iHcOhLYte9N00+M0VRpOFMXMuru6/+jbifTV/VE/U2+tWrdm1TatUxRboiKaaaY4imI7oh1/o72= rh7P2xjaNh/Kmj5d+757tyf2qv+UeiIiHYrlNU0TFM8Tx2TL8NxHWzqr2fiOz9NpNPFi3j5+XgX= wot60xTRsvAuc1VdW9n1R5o76Lf/wDKf93637/wTv3dZ/8Ata5/dWnUel3oks6Lt/Vt3X9w5efm= eEi7cpuWaaYrqrriJ7Yns/adu+Cb+7rP/wBrXP7q09t+bP8ADoi1Off3+rzWuZ1ea/wdl6f/AN0= euf8A0W/72hpy3F6f/wB0muR/8lv+9oadPof6f+xq+rycV+0j6Daj4LMV+TOvr89X+ULvU+zq0f= 8APlq/p+Hl6jm2sLAx7uTk3qurbtW6Zqqqn7Ibo9Fm3Lm1th6Zo1+KPGLVua780zzHhKqpqq7fP= xM8c/Ucfu08mKPnJwqieZNXw+bpr6kdFm4ev3eKTx9vMcf08NN9I/xrh/6+j+1Da34Smq2sDosz= Meqvi7nXbdi3T56vlRXP9FMtUtI/xrh/6+j+1DHA6ZjTVz++zXEpib9MN1OkvW8vbexdT1vAptV= 5OLaiq3F2JmiZmqI7YiY9PpeCYPwhN228u3XmabpF/HiqPCUUW66Kpjz8VdaeJ+viXtHTt+6XX4= //AEKf7dLTXlw4No7OotVTcpz7uuv1Fy1ciKJbx41ek732Xbu1Wqb+nariczRVxPEVR2xPoqpn+= aYeC9COl720ncm6tJ2xe0SL+Feox8urUKbkxV1a7kUzR1Psq7/qeudAGNkYnRHodvJoqorqouXa= aZ/0a7tdVM/fExP3ut9C1dFzpV6SKqOOPHqI++K70T/S8NqqbVF63T7xH+Xprp9dVuqe/wD8eI9= MFjX73SZnY+s04l/V7k2aaqcCmubdUzbp6sUxV288cfe7BonQPvjUcSnIvzpunTV3Wsm9V1+PTM= UU1RH8/L0fRNLx874UOu5d+iK5wMK3dtRPmrm3bpif5pqfJ8InpF3HtjXMLRNAyacPrY0ZF69Fu= mqqrmqqIpjrRMRHyZ83n/n+nTrtRXy9PYxE4h4p01qn1XbucZdSn4PG8PWuh/m3f+mw6GdG3noe= /twaNt6/ok5+Ha8Fk15nhJtVRFcfsdWOe/08PSfg37p17dOjatf13UK825YyKKLc1UU09WJp54+= TEPzeiT9/e/Ptq/vIcLur1E03bV6Yn0x+H5w60WLUTRXbzGXQt3bN3fvbpfztH1HK0W3q9vBoyL= ldqblNiaIiiIiOYmrn5Uebh7zuHbObqPRZc2pZvY9OZVp1vFi5XM+D61NNMTPMRzx2eh4T066/r= G3OmnUM/RM65hZNWHZtTXRETM0zTTMx2x6Yj+Z7VurV9SxOhS5rePmXLeoxpVq9F+IiauvNNMzV= 6O+ZcdVzposTGMe2Pq3Y9EVXInv8tcd49GGubW1nRtLz83Trt7V73gbFVmuuaaautTTzVzTHZzV= Hdy7THweN4T/+LaH+bd/6bote4t57x3BpVq5n5Oo6nZvx4hHVp5ormYnmOIjz0xPb2dj3HE2f02= 12KK8jf+HYuT30RHW6v1c+DfT1Wo1Onppiq5TE/P7w8di1ZuzMxRMw803J0Gb20fTq8614hqdNu= Oa7eJdqm5EeeYiqmOfsjmfqfvfBE/ys1r+Bp/tw9v6PdO3XpmlXsXdusY2rZHhetZvWqJpmKOI+= TV2R5+f53mvQvYtY3TnvqxZoii3TVc4pjujm7y8FXELmo0923cmJx8x9XqjS0WrtFdPtl5v8Jj9= 7Wd/D2P7EPNHpfwmP3s538PY/sQ80foeG/wDi2/o+Vq/tqvqJV5lSrzPc86EhIIAKAJJAAQsJLm= wrPhLvWq/Zp73DxM1RER2y/Ux7cWrUU+fzkzhmqcOSUWUc3IAAYz3smM94sADSgACSqSAAAAyAC= oAKrGSe4knuRWKopCQMap4VjPektQhMAy2ncvIiC8dqSpKiAAAIMZ7xZ70FiQAUcVc81M654jhx= yzKgDOCEk4UGssWVuOO1IjmeHJDVMM1SANJCTCLKA+gB1cQAaJRZQAAIGy/wbtgxo+lRunVLURq= Gbb/7tTVzzasz5+PTV3/Zx6Za36bk04efYy6sazkxarivwN6Jmivjt4q4mJmPveqf9oHedNMU0a= doNMRHZxj3ez/9x8rilrU36OXZj2nu92juWrVXruNit367iba25m61mz/gsW1NXHnrq7qaY+uZ4= j72ts9Pe+pqmYp0uI57I8WmeP8A1PwukDpQ3JvXTLOm6pRg2Ma1d8L1cW3XR16oiYjrc1TzEcy6= O8/D+D00UTOopiZddVxCqur/AGpxDv8Au3pc3ZubQcjRdSjA8VyOr1/B2Jpq7KoqjiefTEPYPgm= /u7z/APatz+6stYHfOjzpS1/ZGi3dK0rD02/Zu5FWRVVkW65q600008fJqiOOKY8ztr+HxVp+Xp= 6Yj3y56XVYveu7Pw251XTsHVcC7gali2srFu8eEtXaYqpq4nmOY+2Idfjo62LHExtTSPvxqXhX/= aF3l6r0L8m7/wBRJ+ELvH1ZoX5N3/qPiUcJ11PtT7fq+lVr9NV3/wCmxmj7f0LR5qnStIwcGqqO= KqrFimiZj0TMQ+nU8/D0zAu5ufk2sbGs09a5cu1RFNMfa1e1Hp731lWposRpWFP+lYxpmr/11VR= /Q6JubdW4ty3Yua5q+Vm9Xtporq4opn6qY4iP5nW3wLUXKs3Zx/dividqmP5Idn6cN/fHbcNNOF= 16dJweaMaKo4m5M/tXJ+3iOI80fXMujaR/jXD/ANfR/ah889yUzNNUTTMxMTzEv01rT02bXKo7P= jV3ZuXPXU3t3TomHuPQMrRc+q5GLlURTcm1VxVxExPZPb6Hn2J0DbEsZNu7XGpZFNE8zbuZPyav= qniIn+lrHGu63651H2mv9Sdd1uY4nWNQ4/ia/wBXw7fBtTaiaaLuIn6vpVcQs1zmqjLb/pF3pom= w9uVVVXLEZFNnweFhUTHWrmI4piI81MdnM+aPuh5f8EnIu5Oqbqyci5VcvXfF67ldU9tVUzdmZn= 75eBXbly7XNy7cruVz31VTzLlw87NwpqnDzMjH6/HW8Fdmjnju547/ADvRRwaKNPVbir+ar5c6t= fM3YrmPaPh7vqu7MXaPwmdTzNQueDwcqzaxr9fHMURVbtzFX3TTHP1TLvnST0caH0kU4eqWtUnH= yLdrqWsnH6t23ctzPMcxz2988TE+fztWtAxLu491abp2XmXfCZ+Vax6r9czXVT1qop57Z7eOe76= nvWJ0A3sSmacTfWfj0z5reP1f6rjx6yxb0tVExc9NcR+Dvp7tV6mqPRmmZd66Jdg29g6fm4lvU6= 9Q8bu03Jqqs+D6vEcccczy6Z0Sfv6359tX95DuWz9DwujXbOdd1jct/Ntzcm9cycuvq9WIp4iim= JmfRPd2zMtUtzbiydR3dq2t6ffycOM7KuXaYouTTV1JqmaYnifRw4aPT16uq7HqzmO/6uuou02I= o9u3w7d8Jqf/ABZzf4ez/Yh77oWPg726GcLTreX1LWbpdvHruW+KptVxTETHHpiqO76mnWVkZGV= em9k37t+5PfXcrmqr+eXLhZ2dhRPieZkY/Pf4K7VTz/NL69/hdVyxboirFVLwWtbFFyqqY9qnte= j7PwuiXpT21k6rrlrLx87w9vw04/gqbNXU6tMz8qrvmqI57OHq/SVtHWt114VzRt45uhU2Kaorp= sRM03eeOJnq1U9scT6e/wA3n09zc7NzerOZmZGTNHPV8Lcmvjn0cy5cfV9Wx7cWrGp5tq3T3U0Z= FVMR90S5XuF3rlVNya/5o/JujW26ImmKfafzbj9Ge1tX2thZljV9z5OvV37kV27l+Kom3ERxxHW= qqdB6If39b8/+qv8AvYa8TruueudR9qr/AFcFnUdQsZFzIs5+VbvXf/MuUXqoqq+2YnmWKODXMV= +quM1R+DVXEKc04p7PQvhMfvazv4ex/Yh5o5MnJyMq9N7Kv3b92Y4mu5XNVU/fLjfa0tmbFmm3M= 5w+deucy5NX4iVeZUq8z0OaEhIIAKAJJADK1RNy5FEechX0YFrmrwtUdkdz7UopimmKYjiIZMTO= XGZzKSiyiIAAMZ72TGe8WABpQABJVJAAAAZABUASVVCQkVioiJCVSxWe1GZagFRFyEKiqEgggvC= SNZABMJPeiygAJVJKsKu2eUZJLm2nCKAgcLTHM/UBTHHayU4dGEAFhJRZQR9ADo5AA0SiygAAQJ= KpJCygCoAEkJPeE94EiKAk9yLPcgAAQJPcqSKytV127lNy3XVRXTMTTVTPExMeeJfb/LOr+tc72= iv9XwwMzRTV3giqY7ObMzMvLmmcrKv3+r3eFuTVx/O+dZRYpiOyzMz3SVjuSVjuaZAEEkJFgkAU= Eq8ypV5gQkJBABQBJIR+hhWupb69UfKq/oh8uJa8Ld7f2Y7ZfpMzLFU/CgMsJKLKAAAMZ72TGe8= WABpQABJVJAAAAZABUEmFFViSSSCMap8ysZ70lYQBGl8yLPciILxKMlViMphEVAAJRU4RYE4UBj= PYwZ1T5mPDMtQgJwirwxXkMCM6Y4hKI5llMLTBKcqxOWmMrKEgpKcKCOYc3imX82ufhk8Uy/m9z= 8Ms9Ra3R5OTc2y4RzeKZXze5+E8Uyvm9z8J1FrdHlrk3NsuGUc84mV82ufhTxPK+bXPwnUWt0eU= 5NzbLhHN4nlfNrn4TxPK+bXPwnUWt0eVizc2y4Ulz+J5Xza5+FJw8v5td/CRqLW6PK8m5tlwDn8= Ty/m1z8MniWX82u/hleotbo8pybm1wDn8Ty/m138MnieX83u/hlOotbo8kWbm2Xzz3jmnCy/m13= 8MnieX82u/hleotbo8nJubZcI5vE8v5td/DJ4nl/Nrv4ZOotbo8nJubXBPcjnnDy/m138MniWX8= 2u/gk6i1ujycm5tlwDn8Syvm138EniWX82u/gk6i1ujyRZubXAkvo8Syvm138EpOFl/Nrv4JOot= bo8rybm1wwOfxLK+bXfwSeJZXza7+CTqLW6PKcm5tl88o+icLL+bXfwSeJZfza7+CTqLW6PK8m5= tfNKx3ObxLL+a3fwSsYWX82u/gleptbo8pybm1wD6PEsv5td/BKeJZfza7+GU6m1ujycm5tl88j= nnCzPm178EniWZ81vfglY1NrdHlZs3NsuAc/iWX82vfhk8Sy/m178Er1FndHlOTc2y4EnzPo8Sy= /m178Ek4OZ82vfgk6izujycm5tl8w+jxHM+bXvwSTg5nza9+CTqLW6PJybm2XzD6PEcz5re/BKe= I5nzW9+CTqLO6PK8m5tl869szxEczL9vTNobq1PG8Z07buqZdjrTT4S1jV1U8x3xzEP0sLo+3rF= c117U1mOO7nDr/RidXYj+uPJybmP+Mvxce1Fq3FPn88uV2H4i70+iuseyV/ovxE3p9FtY9kr/AE= Y6uxvjy5ci7tl10di+Iu9PotrHslf6HxE3p9FtY9kr/ROrsb48nIu7ZdclHY52JvT6Lax7JX+if= ETen0V1j2Sv9Dq7G+PJyLu2XXR2L4ib0+iuseyV/ofETen0V1j2Sv8AQ6uxvjyci5tl11j53Zfi= JvT6K6z7JX+jH4h71+ius+yV/odXY3x5WLFzbLrg7H8RN6/RXWfZK/0PiJvX6K6z7JX+jXV2N8e= V5FzbLrg7H8RN6/RXWfZK/wBD4ib1+ius+yV/onV2N8eTkXNsuuI7J8RN6/RXWfZK/wBE+Ie9fo= rrPslf6L1djfHk5FzbLrg7H8Q96/RXWfY6/wBD4h71+ius+x1/onV2N8eTkXNsuuJy7J8Q96/RX= WfY6/0PiHvX6K6z7HX+h1djfHk5FzbLrg7H8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHlORc2y64= Ox/EPev0V1n2Ov8AQ+Ie9forrPslf6L1djfHk5FzbLrQ7J8Q96/RXWfY6/0Sdh71+ius+yV/onV= 2N8eWuRc2y61PenDsnxD3r9FdY9kr/Q+Ie9forrHslf6HV2N8eTkXNsutTHZ2I7N8Qt6fRXWPZK= /0Sdh71+iuseyV/odVY3x5Xk3Nsut98I7J8Q96/RXWfZK/0T4hb1+ius+yV/odVY3x5OTc2y64y= h2H4hb1+ius+yV/ofEPev0V1j2Sv9DqrG+PJybm2XXkl2P4ib0+iuseyV/oTsTen0V1j2Sv9Dqr= G+PJybm2XWx2P4h70+ius+yV/ofEPekf/lbWPZK/0Oqs748rybm2XXB2L4ib0+i2seyV/ofETen= 0V1j2Sv8AROqs748rFq5tl1ye9JniHZJ2JvT6K6x7JX+jjq2PvLnj4r6v7JX+h1VndHleTc2y66= OwfEfeP0Y1f2Sv9D4j7x+jGr+yV/ox1FrdHleTc2y6+xdi+JG8foxq/slf6J8R94/RjV/ZK/0Oo= tbo8nKubXXk4dh+JG8foxq/slf6M6NibzqjrRtbV5j+Er/Q6i1ujycq5tl1+I4jgl2P4ib0+i2s= eyV/ok7E3p9FtY9kr/RrqbO6PJyrm2XW+xOHZPiJvX6K6x7JX+h8RN6fRXWPZK/0XqbO6PKcm5t= l1yCYdj+Im9PorrHslf6HxE3p9FtY9kr/AEOps7o8nJubZdbHY6tib0+iuseyV/onxF3p9FdY9k= r/AEOps7o8pybm2X6PAD8C/WgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD79v6Vla5rWLp= OHTzfybkUUzPdTHnqn6ojmZ+x8D3n4P20/ENKr3Hm25jJzKerjxPfTa/wBL7ap/oiPSg9G25pGJ= oeiYulYVHVs49EUx6ap89U/XM8z979EiOBAAAAAAAAAAAAAAAAAAAAAAAAAcVc8yzrniOzvcYJw= jIBiLwgJMCgIkxyvADHjhO9mkwDHhGRwDDgZcJPcDivVdSjmO/wAz4/O5r1XXrmfNHZDjmBWExD= GaWcwA4+IThyTDGY4US3RNdcUx53300xTEUxHEQ48S31aetMdsudFYpLLhBEJXhBMJwjJOBUlOI= ZSgNRAGkAAAAAADl+1tbFx9Qp1PT68eLmVcw6rmHVH7VNy3MVzEfbRFcfbw7PG29OqysKIxaJta= Pdm1rU01TPhOra8NVM+jmabtv/dp88g8+OXctH0zS8/B03WrmNTRj4l3I/lK1RMxE00R4W3H1da= J8H/ux5zWNP0rS8bUNWoxaLuPlZdidNtXJnjwVVMXq/t4iaKJ+2QdNHoVe2NPs39QsXMejjVbtV= Gi1TVPyafBeGpmPTz17VH31eh1nc2HaxKMLDx8Oqi9i4VurOucT23bny+30cRVRT9sA/Dct+xXZ= tWrlVdqqLtPWpii7TVMRzMcVRE80z2d08T53bNcr0jQ8qNCo23j5seL26qsu7cuReu1V24q69E0= 1dWKYmeyOrPZHa59O0HTM7L2xau0UWreRpt7JyO2qJvVW670xE9WJntiimPkxzx3RyDo47nuCjb= uVoGVkY06RayseqjwP8m2sziqJniabk3aer3czE8xPZL9CbG36922tq29vYtFrJot0VZc3Lk3qL= ldqKutT8rqxETPdxPPH1oPPHLTYrnFqyYrtdSmuKJpm5TFfMxM9lPPMx2d/HDsmLGnaNtfT9Tu6= NjapkZ927FVWVNfg7NNuYp6sRRVHyp55mZn0cQ4rmLh5e2NSzsbTYxrs6pYt2bfXmubdFVFyepE= z2zHMR39vZCjrZ//ALveh5ek6VXpuqadXjaFZzcDDru8Yd3IuZFuu3x1uvXMTant5iY5757H5mo= XNK0W7i6RG2cbUPCY1m5cyrly5F6/NyiKubU01RTTETV1Y7J/Z7fOg/A1XSbun6jn4dV6xXOFX1= a6puRTNfbx8mmZ5n7I5fnO77ixMa/rO9712x1rmNMVWZrj5VEzfopn7+JmHz6jc0rRqsTSPi1j5= /hcazcuZNdy7F69NyiKubUxPFMRNXEfJnu7QdVosV141zIiq1FFuaYmJuUxVPPPdTM8zHZ2zEdj= G7buWa+pdt126+Inq1RxPExzH88TEu5a1p+nadc3Jes6faqjT9VsUWbV6KpiKObnNE8TzxPViJ7= eezvfRr1yjWt5YuJRomk26LOLZyL1XhLlqmq3GNRXPhKpqniimO7jieI75lR0S1T4S7TbieOtVF= PP2vs3Bptej65naXcu03q8W/VamumniKppnjnh2jcmHpdzRcPVcG3pVF2jUIxq503w8WqomnrcT= 4aP2o476eztfl9I1q7O+NfvRbrm1TqF2ma+rPViZqniOfT2T/Mg66cw7xqEaNo+uWNufFrHz7dU= WabmTcruRfvTcppnrUTTVFMR8rsjie6OUu4Gk7ewtduXtOx9WvYOrxh49V+qqKOrxc5mqKZjn9m= Oznv+xR0gdy1W5pOheJafO3MTUJycW1k3ci7cuxXXN2mKuLXVqiKYp56sTxPbHa/I3zh42n7sz8= PDsVY9i1XEUW6u+mOrE8T9YPxAAAAAAAIiapiKYmap7ojzg7P0Z7Xubq3RZwqomMO1/hcqvjuoi= f2ftqns/p8zaaxat2LVFq1RTRbopimimmOIpiO6Ih1Dom2rG19sW7d+iIz8ri7lT54njso/3Y/p= mXcmQAAAAAAAAAAAAAAAAAAAAAAAAJEq5nsBhM8zyizCAnHApwCBMAJMIyAYizCAgpwCJwoDFxX= 6urTxHfLmmYiOZfLXM1VTIsOLhJhnwgrCYSYZzCcA42Vqjr1xHm86zD6LNHVo+ue2RJZ+bgAQAF= SYRkTAMeEZIIgvCA1CAaAAAAAAH06ZnZemahY1DBvTZybFcV264iJ4n7J7J+9z2Na1Wzb1C3azb= lNOpRxlxxE+Fjnrdv3893pmPPL88B9mJqediadmafj5E28bNiiMi31Ynr9Weae3jmOJ57jN1PPz= cHCwsrIm5j4VNVGPRMRHUiqeZjsjme30vjAfoX9b1a9Vp1VzNuVTptNNOHzEf4KInrRx6e30+iI= 7ohlk65q2RVqU3s2uqNTqivMjiIi7MVdaOeI7OJ9HH8z80B+zjbp3Bj4EYVnUq6bVNE26Jmimbl= umf82muY61Mds9kTD469W1KqcGrxuumrAo6mLVRxTVajrTV2THE99Uzz39r4gH6usbh1nVrMWc7= M69qKuvNFFui3FVX+lVFMR1qvrnmXDTrGpU6zb1inJ4zrc0zRd6lPZNMRTT2ccd0R5nwAP09H1/= V9Js12MHL6lmuetVauW6blHW7ut1a4mIn64jlx5WsanlWsi1k5ly9Tk36ci9NfE1V3KYmIq63fH= EVT2cvgAfuZO7dw5Niuxe1GaqLlubd3i1RE3aZiYnrzFPNc8T31czHmYYO6NfwsGjDxtRqptW4m= LczbpqrtR6KK5iaqP92YfjAPvv6zqd+5n3LuT1q9Q48amaKf8ACcVRVHm7O2Ins4dq0TOro0nEt= 0b6x8TGooiK7d7EqnJx/wDSptVRRVMR38cVU/ZHa6MA/Y1/XcjUNQ1auxVVbxNQy/GJtVUxM9k1= dTme/mIqnuSNya3FWDXTm9W5gUdTHri3RFVNPHV6s1cc1Rx2cVcxx2PyAH6up7h1jUrUWszLiu1= Tcpu026bVFFFFVPPE000xER+1PZHf5+XHn65q2dby7eVmVXKMzJjKv09WmIruxEx1uIjs757uIf= nAP2sPde4cTDpxMfUq6bdFPUt1TbpquW6fRRXMdamPqiYfmxnZcadc0+Lv/drl2m9XRxHbXETET= z391U9j5wHd9v51y3o+Nas73xcKxRH+Es5OJVVex557fAzFFX2xxVT2+h1zdmpWtY3JnalYpuU2= b92arcXP2urxERz9fEdr8sAAAAAAAel9A2051fXp1vMtz4np9UTb5jsuXu+I/wB3v+3h5/o+n5W= rapjabhW5uZGRciiiIj0+efqjvmfREtr9paJjbd0HE0nEj5Fijiqvjia6v86qftlJH60RxACAAA= AAAAAAAAAAAAAAAAAAAAABLGFn0AITCgjCYRmkwKxOFnsQEFJgESYUBOEZJwCJwqVTERMyDhvzP= HVj73C5J5meZ70mIkWGEpMMpiUFY8Jwz4SY8wFmjrV8z3Q+hLdPVpiPP52QyicLMAMRknAIAAnC= gqIyOAa3+TPfHqK5+db948me+PUVz8637zaAXKNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M9= 8eorn51v3jyZ749RXPzrfvNoAyNX/ACZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948= me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637z= aAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav8Akz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8me+P= UVz8637x5M98eorn51v3m0AZGr/kz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8AJnvj1Fc/Ot+8eTP= fHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tA= GRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/wCTPfHqK= 5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me9/U= Vz8637zaAMjyroT2Hl6FdydY1zGiznTzax7c1RVNFP8AnVdnZzPd9kT6XqpxHogQAAAAAAAAAAA= AAAAAAAAAAAAAAAEmFBEADIAGE4SYZAZYIzmEmBWKcMkBBU4AcN6fldWO5yV1cRy4e8GKTDLhBW= KTHLNOAYcSzs08zz6CI5nhzU08RxAJwKCMTheAGIpwDHhJZAMRZhAAAfoAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgpwJ7oEwAAAnDGYZgMEZTDC= 52QK4655q+qGEwzlAYDKYSYBjMehGREczwC2qe3nj7HIccAInDIBiLwnAJwjIBicLwgIKkwCcHC= gPuAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= OAEwkwKSCAgo4qp608s657OHHwJhJSWRwKx4RlwnAMeGVuniOfSRHayAOABBU4AABJhGQDEXhAS= UZJMAnBwqA+0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAABJ445VjX2iYYTzyjJOBWPBwoDEmF4POBTCgCcIyAYi8IAnCgIKnACKAnCMkQQ4Z= U0zVVEQ5vB0ehRmAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAABMseFnvBGMwkwzSYDLBJhnMJwKxWIAE4FAQJAE4UBOEZJwCC8IBwigIkspgo= pmqrjzA5LNPEcz3y5OfqAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAABJVJAAAAEwJMKAxmE4ZpwKwFmAEOABOOBTgEAASYUBiMkmARzW6eI+1= x245q+qHNAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAgnHCn3ggqcCgAAAgnCgMOEZpMCsRZhACYAEFSYABlbjmeQZ0xxCgAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJg4= SVAQAXIAGAATCJMMgMsOEZ8JMCsRZQDjlyUxxHEJRHnZAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACJMCgIHCCqAAAInCcd= rIgFAFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAO04ARBUDIAKR2qQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHHaAmAAUAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAmU5fkbu3Hpe19LjU9YvV2c= TwlNublNE19WZ7uYjt4YbZ3PoW5sa5f0LU7ObTa4i5FHMVUc88cxMRMd09/oa5dfp9WPZiblMVe= nPu/a5OWq1vpe3roOu5+PGfb1DGt5VyKbWXR1uIiueyKo4q7vrbI7M1ivX9radrNePGPVmY9N2b= cVdaKZnzc+d6dVobumiKqu0vNptbb1EzTT3h+z5uSJ5dO6Yd31bI2Hm63Zooryommzi0V/szdqn= iOfTERzPHn4eDbL0bpw6QdMr3HibvvYWLeuTFqq/m3LNN3iZiZoot0zEUxMTHdH1PI9jarkeG5W= D0j7J6MLtOq9IGlYesXdXpqt6hm3671qLE2uPBc3LVUxVNVMzx1fv8z07B3Fp+kbJ0nVNzbg06n= wuHZm7m1XIotZFybcTNVHMRzFU8zEREdnmgHZB1XTekXY+pVZFOBuXAyJxsevJvRRXM9S1RHNVc= 9ndEPmp6VejqqqKY3fpfMzx23Jj/kDuY+LK1fS8XSf5WydRxLWn+Di541Xdpi11Z7qutzxxPMPw= NN6SNi6nqFjTsDc+n5GXfri3atUVzM11T3RHYDtg8p6LN1alas7l1DeG/ND1jBwq7c0V4nERiUz= VXExc4tUds/Jj/O7pdlsdKXR5evUWqN36V1q54jrXurH889kA7iJTVTXTFVMxVTMcxMd0qAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAADy/wCE5+7G5/F2v+bqXwR+7c3/AA3/ALrtvwnP3Y3P4u1/XLqXwRv2dzf8L/7r7Vr7sq+v+= HxLv3jT9Hie5P8AKHUv4u7/AG5be9EP7sdv/wADR/U1C3J/lFqX8Xd/ty296If3Zbf/AIGj+p6u= NfYW/wB/Dz8H+3ufv5dD+GBjX7/Rfi3bVM1UY+qWrl3jzUzbuUxP4qoj73Yvg46jg53RFotvEv2= 67mLbqs37dNUTVbriursqjzc9/wBku5bm0TT9x6Fl6LqtiL2Hl25ouU88THniYnzTE8TE+mHgWb= 8GOvxu7Vp28PB48zzRTew5muI9EzFcRP28R9kPzb9G7V8MCf8Awtxv9q2v7u68d6UMvJzNf2Fpl= /TsnVMTH29p82sC1VVE5M1URNUR1YmeZ4insjn5L1ijoLyqejC9s6rc1mq7c1enUIyZxZ4iItdT= qdXrffzz9z9je3Q1i7k0Lb1q1rN7Tta0TBs4lrOtW+YrptxHHNPWiY7YmYmKuznzivP9sY2NOi7= xrp6KMzaVdvbGfNObeuZExXPUiPB/4SIjmYmZ9PyX42wdibY1b4PmvbozdPmvV8SMmbORF2uJp6= lFM09kTxPb9T1HQeineGLa1bH1jpFzNWxtQ0vJwabN6m5VTRVdo6sXOJrmJ47X6u0+jK/oXRJqu= xatYt37mfF+IyosTTFHhKYj9nrdvHHpEa769m5eR0NbD0i7l3KMK/qGb4Tmrsjq3KIp/m8JXx9r= ZTbnQ/sHRM7C1LT9GqpzMOqm5avVZFyqrrR3VTHW45+516joP0/J6LsTZ+p6rNzKwsi7kY2fZs9= WaJrntiaJmeae7mOY7o7YfPszoh3hoGv6Zm3ekjPzMDCvUVThzF2mi5RT/mcTcmIjj6uAeadE2p= 6JpG0OkrL3Fg1ahp/hseivFprmnw1U3LvVp5ieYjrcdvoj7nXN3VafnbOu52n9EWZodiuKLlrVq= b+RctUUzVEd9VPVmKu7v75h7hoHQZbxNu7o0XUtc8Yt65ctXbdyzj9SrHrt1VVUzxNU9btqj0d0= +l+Fe6BN23dH/kW50l5NemRTFEYlVi5NrqxMTEdXwnHETEcfYD0noAy8jN6H9u5GVdqu3IxqrfW= q7+rRcqopj7qaYj7ne3XOjPbde0Nkadty5l05dWFTXTN6mjqRX1q6qu7meP2uHYwAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAeX= /Cc/djc/i7X9cupfBH/AGdzf8L/AO67b8Jz92Nz+Ltf1y6l8Ef9nc3/AA3/ALr7Vr7sq+v+HxL3= 3lT9Hie5P8otS/i7v9uW3vRD+7Hb/wDA0f1NQtyf5Q6l/F3f7ctvOiGf/DHb38DR/U9XGvsLf7+= Hn4P9vc/fy7NnV1W8DIuUTxVTaqmJ9ExDVLYm6OnPe3js7d12rIjCqoi914x7fV6/W6v7VMc/sy= 2r1P8AxZlf6mv+zLX34Fn/AJW7P9Zi/wBV5+bfo4fNsTpR37t3pKs7Q6RqvC05N2ixVNy3RFdmq= v8AYrpqojiqiZmOe/7uJeoba1nduT0raxpeoZej16FZornFtWL9qrJpmJp469EVdaI7Z74jzPFf= hN128zp10jGwZivJoxsWzXFM9sXJvVzEfbxVT/PD7sXUcnSOnLpL1PDq6uTi6TmXbVXHPFcRb4n= j6pBsVnbk2/p+TVjZ+u6Xi3qe+3ey6KKo+2Jnl1rpG3RmfE69n7G1nQr+ZayLdFV29mWvA0xPPM= TVNUUxPojl4r0KdFW3977JzN0biy9QyM25lXojwd+Kf2YieapmJmapmZnnn0OmaHER8H/c9Md0a= 3iR/wCmoHs/TdvzXdv9F+3snA17Dxdx5FePVmU4tdq51qarNc11Ux2xNE1xHFUdnd2vS9qbq0jM= 2liajka7p1ybWJYqzbvjNHFquumP25ieKZmrmO3jta9dN+29Lt9C+yN1027n8qXMPAwaq+vPV8F= 4tXXx1e7nmO93bL2z0d7G6FcnM1TEzq8PW8bCqy7Nq/M3L92ni5RTRM9lPbNUz9UT9gPXMfde2M= m/RYxtxaReu1zxTRRmW6qqp9ERE9rzLpX3duLSOmnZ+habqdzH03Pmz4zYiimYuda9NM8zMcx2d= nZLwLeU7Mu7fjJ27s3cek3+vTVby8nIm5Zqp9Hd5+Y4mJ9DvWtZuVqO/uh/Nzb1V/Iu4GFNy5VP= NVc+GmOZnzzPpBtTAQAAAAAAAD8PfG4MbbW28rVL/wAqqinq2aP9O5P7Mf8AOfqiXgHlU33zP/x= qI+rxWz7gNmxrJ5VN9+u49ks+4eVTffruPZLPuLgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsay= eVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHl= U3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbN= jWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9= w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcM= DZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZ= LPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz= 7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79d= x7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/Xce= yWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTf= fruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU336= 7j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTy= qb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm= +/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsa= yeVTffruPZLPuHlU3367j2Sz7hgbNgIAAAAPL/hOfuxufxdr+uXSfgp52FiVbioyszHsVXZxvBx= duxTNXHheeOe/vh7zq+mafq2L4pqeFj5mP1oqm3eoiqnmO6eJfkVbE2ZMdu19In/AISj9Hvt6ym= nTTYmO85y+dd0lVWpi9E9vhrruLok31d1LNzsTSrWXYu37lymbWVb5mmapmOyZh6F0e9It3auiY= W3t57c1TR7WHbps282rHrm3VEeers7Pu5ek2NlbYxuZw9IsYcz3zi1VWZ/nomJc8bdtW4mnG1LU= 7duqOKrdzInIoqj0cXet2fZw6XuIc+iKLsZiP0Ys6CbNc125xMvtsZeJrGj13tOy7GTZv2qot3b= dcVUzzHHfDWvTPg/9JGmzd/k3dmmYXhJia/F8zIt9bjnjnq0RzxzP873jE2dj6ZkXM3Rb9Om5NU= zM02LfVsXezs8Ja56sz/81PVn63Z8abk2om7TTTc4+VFM8xz9T51WM+z6VE1Y93h3RZ0E39A3RZ= 3LurWLWpZuPc8LZs2Yqqo8J5q6q6+2qY74jiO2Inme5+3onRdnWeljc259Uv4ORpGtY17H8Woqr= 8L1bnU5ir5MRHZTPdPnetJMcstNVq9nZ+1bmda2X0y6BjaZc5uV2bupRbrniJ7Jpp60TPHZzHHP= ofN0PbM1Pe/Q9uLR9Ov41i7d1excpu5E1RRPUo5qj5MTPPyo8z2SvoG6Na7lVyrRsiaqp5n/AL7= e7/xO97b0DSNt6Ta0nRMG1hYdrnq26OZ5nzzMz2zP1zMyK6HvXozydzdD2jbNuZ9jH1DS7ONNF6= Imq1VdtWptzE9kT1Ziqrt457ux1ux0R7y1Xo+z9r7t3VjZUW6sevSK7XWuU4824rpmmrmmmZiYq= pjvmY4+rt7rujU83P3nZ0rCuX7GNptrwmfNNVdEVTdpmLcxNMTz1erNXFUxEzMejs65rd/eutZ1= i9GHrODHgZt0049FVvwXhOrz1p5+XVT16O2eI5t3PNPLtRYmr5eeq/jtDquq9EfTBqm3adu5+9t= IyNLt00UU49ddziIo46kcxa57OI879+50Sa/Xruws/wAf0zwe3MbHs5Udevm5Nu5NUzR8ntjifP= w7Bcyt5YOhYFjBwL1zxm1NNyK4u1XLHWimmOZqmaoqpmvv7qot1TERzD6NG1HdOu61gWNS0vK0/= CouU5VdUW6rfbFuKvBVVTPyoiq5THPEczbq7OJ7HJnGcrzo7YeiUqlKuLsAAAAJVPCuidM27I25= tmbGLd6uo5vNux1Z4qt0/wCdX90dkfXMegHlXTduyNwbknT8S51sDT5mimY7q7ndVV/RxH2c+d5= +faKACgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD= dABkAAAADgAODgAOCIiO4AAAAAfLXp2Bczac65hY9WVTTFNN6bUTXERPPEVd/D6erT6FBMJ1Y9B= FMQoKAAAAATPAOLMyLGLi3cnIuU27Vqia66qp7KaYjmZaqdIG5L26dzZGp1zVFjnqY1uf8AMtx3= R9s98/XL0/4Qe6/A41G18K5/hL0RczJj/No76aPv75+qI9LxBYABQAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABugAyAAAAAAAAAAAAAAAAAAAAAAD= G5+yANXemD94+sf62n+xS6mCgAoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAA//9k=3D" width=3D"793" height=3D"1121" alt=3D"" style= =3D"margin-left:-1pt; position:absolute" /><img src=3D"data:image/jpeg= ;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARC= AAbAE0DASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAABwUGCAkKAgT/xAApEAABBAMAAQQC= AgIDAAAAAAAFAwQGBwECCAkREhMUABUKFiEiGCUy/8QAFwEAAwEAAAAAAAAAAAAAAAAAAAECA//= EACkRAQACAAYBAwMFAQAAAAAAAAECEQASITFBUQNxkfATImEygaHB8dH/2gAMAwEAAhEDEQA/AL= Abx6gFUHCruua3rKsFMMDvK/BjZu2mcwdmDZDW+LBBRGGRYS3M6bOyDrRuPBR8MxTTQatUEUk9G= o5nvujzW3N/m+6DizK0o6FqbmeLnGqRiK1tedm26ftJ0HdJ4cMNZg3jZduPhxR033S3cDFMvXg7= ffZF4gi4TUQ1DjUFHp95X/HtX1jtGj+vMdg+QCyRAYpjTcPIbgrE/dUprRB6grn4FnkcMMk5QE1= 3122/asENE9d9lM6ZcD3yLdzI0R2hNAl83CT7Urt/ZDeV8go8yOCkS5trYN0fXsL2s8JJW8FS+6= +iVIF5XN443LyCQNp+mOeGmjF21EKI75QhG5S1Va1V6/c29TGEPGOaaqynLmVVZ0n5DeivTHcTv= /oqsb6R5H7biswo6/zAR/JqzMArSmcgqO9I6I2/7l9WUpWKtt1ioVPbRcvGSCSRhmh7190fj11y= oSWJnproe4bApHmWTvI8ypSLBZX0HfVjy+ekINWmZQyfFYrBQQNjJWDmY2KcCMFpAuLw/Yj4+Ec= i3pV3osWHN1mF5GZrA7Y8aNMXvGulpv1VN6i8idFo863tPapzVUrLE5OeZx2YQmOqpxeHpS6OrR= AhJ3hMoNE5HkHUc0YPfsPY5ndB78/T6q4QO8jXAnQBpKuMd1OJVcHPFklXbIKIs0zJaNhVYyylx= UkKbIimtiRArWwwuCjT9ym5PBZfs5EJqrNXSP4EIxnu/cLlWyzLw+51V+k/SieWm0lBlWaVWINF= rrduv8XgftJJ1jV1HVv1jM7KK3NyzOZElFJjJGidg1PbVEE3koViI0xY0FdziRMlYo8K/RWXfJP= 2bwWFLhzLhtuye/Lp4Zl0nI5b0Xjk+sOi67qGaBq2dW9Zln37c8hDRWBwJogs9xkPH1pgJfTGSK= jGrs45HNXrVsGjzfcyTX0bKoZ3APKsIiPEfgmeePSS5Jp9w972bcZUnz2SeiSk4rlmYsJhVyNly= EKIcO14pXounKlhk+SOG9m6T82a2RGLrOHCLNKQEAhXKzqy+v8AmbsOrqIlqnW4qt57yjL+icaA= a4K27X1QDKoJVgpZSOiJuEyfdyAFycQmDKMCxYWXL6CcPXbdZv8AhljnC6qN5RDkD8/7d4bCB5I= RuhtY5mmq4sdSzfbCGPuO44dSy/W4XqSOdh8fxmfK17c9h1i9sWBz2jHO0n/q7SdyOJuZiabG63= cOXIo8qTaKtSDWEGB0ty2WH7OstyXOLWuKVTKa11T1hsYKIp6t07h6S6LuGxZ3pU9BVw51eKBnB= FgOkCL+Uy6TpCyboJH2jlsjoOYOHzt1jZRk2dxFuvPcPOXJ9wcqZ6Fqo4968aTzmioPHdI5Nv0T= YcBqGVR4hUhu3x12JZZy6PxCFi/t2XGSVgJEhI6JtI4D2cInd8M2xUBs4PXAHsnjW3Fa70U7RgN= GlucZbeshMwqoLJtujGIRq7o2cT8SQFbxM0fzFhRuItXxRFscWIk09ESe7RYU/piZxXcdO6y+9b= /5gfH4zyRjdXGX25nVMtCK8Mni67MeOM9GWI3gkxvSuevYx2vR1Rrx9XohjBGVzUzdlHxOULKIj= LWVgM2O4cS2tNMprOnZVog2zqIbuSLN07+i7R10HeLWVGpMn0u1eSo/IwY6wK9fRz9wfJyBJk2P= VXHXbvIpwYdPlWrIhugi+2bNlE2m7lRd5hHDh04VVoL6GmthjrX6E6Cv2CVXTF59F8AN/HFzHxT= VNsxa47Cswkdlw6SnbqmOYcq5YgK6r9qL1RZHjCnwiophdu9eNyWGg97dz4co+tE490FFnK/2nE= bNUkBXc+u2cOFxFKxwestrnbGNs6qqN9t9c5xjOdc49cev4yo+SKB+mWxVbb12aGnBi4wgebxxr= RjNYqpplRpdxd8YfLn8j7Cddx9D8v29KRnOz6hO4b8kfLPUcc0dfs6pt6HdDT4jGy01TWV2bLRQ= 5ursHkGc4SHJs1vcV1wOwuu31HVX51OrYRChQK+vHVP7qm2g9m3Y2/ypOIJKams7OqOmjWTN9Cb= 5uTiTQtrjV2okRw4bMsLb6Jb7I667Zx8d28w0aZ7f7IMEoP8AYIleqehCRBxiSy9D7D19bcudOl= /hbn0kEsquFVFPjRSTS093tT000xrrgZxSFMYAJ3AweR2dEAm+m+mREbuO2gw3Gu+ce/2MR81Qb= J529c+uyaeu2fXP+fxhW2h13t3eKp3jVNNN6e3Zv+e8XG+VDyg2VLJXAL769GQytlqaIPpVyF4+= 4zLh01Oa2a7HOBjG8egzwPfA9vvFxzp6lHGDVPVBsu9dNhqi7h0R11hBzj5KeufJO9sWn1Kh5OK= B4dCmE7NCrXjsvPAiiT2ewyuhDFiPFi5KvkqtI5yFxo6UZoIMmmrt2q8SwjjXeAZfmelz5B0XOx= UiaKvVdlnhMtN58RIO1tv/AEq5ePJQs4XU29Meu6qm22fT/Ofwl0/AYzRBY6cqJEvBS0kCpRw29= ESmU7KkAyRoVI27RXD0y7T02ZyAAENMXSOiTxgUFMXzNwg5bpqajEUUFNn5898GSK5pBKXb1pxt= xg82F3r0B4843AZZG6E4fizS/GDyRQzepB7/AAamMIDNxjF9MCmG6LMkOBDZ3tKaq3YSDdkUTsO= s7FD6CsJRvd85enP3ks7b8kGLCqePUFyzPUYtHBUmMwuxGBR63PjnskGR5XUGLeakUipQQkRWPO= WaOmj79KLKOGOrhyho2VhXMaSrifN4k0mYkxJW8Fj5CLRBMtNJu6wAjxWay6xiQphtvI/fo1fTm= eTGUOdd9t91S8iJudt85X9NV2rawiNMF8yKqdJJADuXgF/+3jE6nQx/h5GTjORgXGrlCSYV1UFn= B7Mk1zrtj2uW+mdsba+7XM5IXeUvv56YX0vHd5I2c1rx/wAMSGsLvK7PHu2RUjlJ8PRGeHcif7f= C6wikxHTAGIkYnSSwwgfOLR8WDKDpJHV2RtmzDyQquLSetUCrNg9wogi4OffK71p5AJHKqKWqrl= R8xRhD+Yv4/ZwaSn2EqQHHY6CRj0aiTBnITEvlaz6SsyDYIEDviqQQaeON0FEwy+uY6WHG2VsRY= DCbHISqYxWNkHhIMGNTeZuG7R883Wyo4331P6OHe6WrhdFlh6s51GtllGo/Vq23yllCqisIZSZ9= 7J6sYk4abJiVQBJ4NlEqW1IB1iA0v9B60fmnjJ0igYDhzLLK7ZTdgZECy7HduRHM3KLyR00NNTD= fHBczEs0Hn5pg6T7ubp3x5x+qLAZ8gcm1mn0FGjhYUQhMLNBjaGI0WQYkYrJ13TMWSYlUGD2OSN= QFsptq2ESEGq8SbPt1WrfXr/Fu67nvbvPHWd12GHj8dkX/ACIARHZhGk3Wo3LIDUkNWar41drKr= YXUySVwr/v7c4109uMemfXFvacXZ3SNbjLaMTexB7A44kg9nLbGsA0gNNvhYwG+IDU3kmUwOVfC= w4tq+0ZfAi8+g2WcpKuEtVfzZ5/FUraF1lyF0YLhAbIRiR6Ry/eIYJFiXzO8VjBm+FflLP36yfo= iknp8aSmiX+vu9nvzttkyR3ovDIRi5gpqr5r+sf/Z" width=3D"77" height=3D"27" alt= =3D"" style=3D"margin-left:441.05pt; position:absolute" /><svg= font-family=3D"Times New Roman" font-size=3D"16" height=3D"41.33" version= =3D"1.1" width=3D"209.31" xmlns=3D"http://www.w3.org/2000/svg" style=3D"wid= th:209.31px; height:41.33px; font-family:'Times New Roman'; font-size:16px"= xmlns:xlink=3D"http://www.w3.org/1999/xlink"><defs /><g><g><path d=3D"M0,0= L209,0 L209,0 L209,41 L209,41 L0,41 Z" fill=3D"#7c7c7c" fill-rule=3D"eveno= dd" /></g></g></svg><a href=3D"http://www.ana= tomiadigital.org/" style=3D"text-decoration:none">www.anatomiadigital.org</a>ISSN:<= span class=3D"awspan" style=3D"letter-spacing:-0.15pt; color:#ffffff"> </sp= an>2697-</= span>3391Vol. 8 No.</sp= an> <= /span>2.1, pp. 19 =E2=80=93 3= 3, abril<spa= n class=3D"awspan" style=3D"letter-spacing:-0.2pt; color:#ffffff"> <= span class=3D"awspan" style=3D"color:#ffffff">- mayo 2025 Revista en ciencias m=C3=A9dicas, salud p=C3=BAblica Ar= t=C3=ADculo de revisi=C3=B3n bibliogr=C3=A1fica.como plenitud = =C3=B3tica, </= span>ac=C3=BAfenos o v=C3=A9rtigo.= En la explor= aci=C3=B3n </s= pan>f=C3=ADsica, es fundamental <= /span>incluir una otoscopia,= pruebas con diapasones= y= una exploraci=C3=B3n= vestibular completa, as=C3=AD= <span= class=3D"awspan">como pruebas cerebelosas. (12).Aunque el diagn= =C3=B3stico </= span>inicial suele e= stablecerse </= span>mediante una a= udiometr=C3=ADa, es indispensable realizar<= /span> un protocolo de<span= class=3D"awspan" style=3D"letter-spacing:2.4pt"> estudios = adicionales para descartar = patolog=C3=ADas asociadas q= ue <spa= n class=3D"awspan">podr=C3=ADan influir e= n <span= class=3D"awspan">el tratamiento y<s= pan class=3D"awspan" style=3D"letter-spacing:0.7pt"> seguimiento. El diagn=C3=B3stico</= span> definitivo se establece desp= u=C3=A9s </spa= n>de los primeros</s= pan> 30 d=C3=ADas desde<spa= n class=3D"awspan" style=3D"letter-spacing:2.3pt"> el </spa= n>inicio del cuadro,= mediate la evaluaci=C3=B3n de <sp= an class=3D"awspan">estudios como: pruebas<= /span> vestibulares t=C3=A9rmicas, electronistagmograf=C3=ADa, potenciales provocados= auditivos de tallo<spa= n class=3D"awspan" style=3D"letter-spacing:2.55pt"> cerebral, tomograf=C3=ADa computad= a <spa= n class=3D"awspan">del hueso temporal con= <span= class=3D"awspan">y sin contraste,= resonancia magn=C3=A9tica de<= /span> cr=C3=A1neo en la= fosa posterior con<spa= n class=3D"awspan" style=3D"letter-spacing:0.55pt"> y sin <= /span>contraste, y = biometr=C3=ADa= hem=C3=A1tica. Se<spa= n class=3D"awspan" style=3D"letter-spacing:0.7pt"> recomienda complementar esta<s= pan class=3D"awspan" style=3D"letter-spacing:0.7pt"> serie = de pruebas con serolog=C3=ADas virales, perfil= tiroideo e inmunol=C3=B3gico= . <spa= n class=3D"awspan">Se debe tomar<s= pan class=3D"awspan" style=3D"letter-spacing:0.05pt"> en <= /span>cuenta que = estos estudios no son = prioritarios = para el manejo </spa= n>urgente y pueden= <spa= n class=3D"awspan">realizarse despu=C3=A9s de <= span class=3D"awspan">un mes de la instauraci=C3=B3n del = cuadro. <= span class=3D"awspan">(12,13).El </s= pan>tratamiento se compone </spa= n>de medidas farmaco= l=C3=B3gicas <= /span>como la admini= straci=C3=B3n = de esteroides, adem=C3=A1s,<= /span> se suele utilizar= Cinarizina y Pentoxifilina</s= pan> si el cuadro se </span= >acompa=C3=B1a de disfunci=C3=B3n</= span> vestibular, v=C3=A9rtigo = o <spa= n class=3D"awspan">tinnitus. Por otro</sp= an> lado, el tratamiento</span= > no farmacol=C3=B3gico incluye el <s= pan class=3D"awspan">reposo relativo, en<= /span> posici=C3=B3n inclinaci=C3=B3n<spa= n class=3D"awspan" style=3D"letter-spacing:-0.2pt"> de </s= pan>35=C2=B0 a 45= =C2=B0, </spa= n>para evitar el</= span> aumento de la presi=C3=B3= n <sp= an class=3D"awspan">en el o=C3=ADdo</spa= n> interno, adem=C3=A1s, es</s= pan> importante reducir los</s= pan> episodios de estr=C3=A9= s <spa= n class=3D"awspan">y evitar el consumo</= span> de sustancias t=C3=B3xica= s, <sp= an class=3D"awspan">como alcohol y= tabaco, se sugiere<sp= an class=3D"awspan" style=3D"letter-spacing:1.65pt"> la </= span>aplicaci=C3=B3n de ejercicios<= /span> de rehabilitaci=C3=B3n = vestibular, <= /span>que contribuyan a = mejorar el equilib= rio <s= pan class=3D"awspan">y disminuir los s=C3=ADntomas de form= a efectiva. (6,12,14).<a id=3D"Objetivo_Gener= al"></a>Objetivo<s= pan class=3D"awspan" style=3D"font-weight:bold; letter-spacing:-0.15pt"> </= span>GeneralAnalizar</sp= an> el impacto del trauma <= /span>craneoencef=C3=A1lico en</span= > el sistema auditivo,<= span class=3D"awspan" style=3D"letter-spacing:0.25pt"> identificando su influencia = en <sp= an class=3D"awspan">la hipoacusia, evalua= ndo <s= pan class=3D"awspan">m=C3=A9todos diagn=C3=B3sticos= y= opciones de tratamiento adecuadas seg=C3=BAn la<= /span> <span= class=3D"awspan">severidad de la</span= > p=C3=A9rdida auditiva, pro= poniendo </s= pan>estrategias preventivas y de= intervenci=C3=B3n temprana para mejorar la calidad de vida de los paciente= s.<a id=3D"Objetivos_Espec=C3=ADficos"></a><s= pan class=3D"awspan" style=3D"font-weight:bold">Objetivos <spa= n class=3D"awspan" style=3D"font-weight:bold; letter-spacing:-0.1pt">Espec= =C3=ADficos=EF=82=B7Describir</= span> c=C3=B3mo el trauma afecta <= span class=3D"awspan">el o=C3=ADdo interno,</sp= an> nervios auditivos o = =C3=A1reas </spa= n>cerebrales, causando distintos grados de hipoacusi= a.=EF=82=B7Se=C3=B1alar<= span class=3D"awspan" style=3D"letter-spacing:2pt"> los </spa= n>m=C3=A9todos diagn=C3=B3sticos</span= > m=C3=A1s eficaces y las= opciones de tratamiento seg=C3= =BAn la severidad de la p=C3=A9rdida auditiva.=EF=82=B7</span= >Proponer medidas para </span= >prevenir el det= erioro </span= >auditivo, mejorar la <= span class=3D"awspan">comunicaci=C3=B3n y brindar apoyo = mediante intervenci=C3=B3n temprana y el uso de tecnolog=C3=ADa auditiva.</= span>Esta </span= >revista<= /span> est=C3=A1 protegida bajo una licencia Creative Commons en la 4.0 International. Copia de la l= icencia: <a href=3D"http://creativecommons.org/lic= enses/by-nc-sa/4.0/" style=3D"text-decoration:none"></a><a href=3D"http://creativecommons.org/licenses/= by-nc-sa/4.0/" style=3D"text-decoration:none">http://creativecommons.org/licenses/by-nc-sa/4.0/</a><p= class=3D"awdiv" style=3D"font-size:11pt">D i <= /span>a g<= /span> n =C3=B3<= span class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-= spacing:0.45pt; color:#ffffff"> s t </spa= n>i c</span= > o M =C3=A9 <= span class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-= spacing:0.5pt; color:#ffffff">d i c </spa= n>oP =C3=A1 g i n a<sp= an class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-sp= acing:2.85pt; color:#ffffff"> 24 | 33<img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2w= BDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFhwXExQaFRERGCEYGh0dHx8fE= xciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4e= Hh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCARhAxkDASIAAhEBAxEB/8QAHAABAQACAwEBAAA= AAAAAAAAAAAECCAMGBwQF/8QAWBABAAEDAwAECAsDBgsGAwkAAAECAwQFBhEHEiExExQXQVFVlN= IIFiJUVmFxgZKT0TI3dBWRobGysyM1NkJSc3WChMHTGCQnM6LDJWJyJkNFRmOjwuHw/8QAGwEBA= QEBAQEBAQAAAAAAAAAAAAECAwQFBgf/xAA1EQEAAQMCBQMBBgUEAwAAAAAAAQIDEQRSBRMUMZES= IUFxMzVRYYHwFSJCodEGIzKxNMHh/9oADAMBAAIRAxEAPwDpoD+lPxQANEosoAAECSqSLKAKgAk= kJPeE94pIACT3Is9yAABAkqkiysBAIkosoKkrHckrHcqACCSEiwACglXmVKvMCEhIIAKAJJAAQs= JKLKKSACD9HDteCt8z+1V2y+XCtde51qo+TT/W/RYmWK5+BjPeyYz3sswANKAAJKpIAAADIAKgA= qsZCQPgAlCEqnsYkiNQkosoKMZ7e1ap8zGGKpy1TAksuWNTDeQFpjsIgmQWYRqUhJ7wnvAAASUV= BRJUnu5QYVT5mE9yzPM8pPc5z7ukIkwqpgliLKfZ2osLTT1qo9Dk+5KY6sfWy5daacQ5VVe76AH= ocAAaJRZQAAIElUkhZQBUB9uBpebm4OdnY9masbAt03Mi5PZFMVVRTTH2zM931T6Hb+jros17fG= i3tV0vO02xZs5E4805FdcVTVFNNUzHVpmOPlR/S897VWrNM1VziOzrbs13JxTDoU96PY5+DxvD1= tof5t3/AKZ/2eN3+ttD/Nu/9N5f4tpN7t0N/a8cOXreV8H/AHxZpmbWTo2R6KaMiuJn8VEQ6Juz= Ze59rXONc0jIxrfPEXojr2pnzcV08xz9XPLva12nvTiiuJlzr0123GaqXX57kWe5HrcAAIElUkV= YAESUWU5gWElY7klY7lQAQSQkWAAUEq8ypV5gQkJBABQBJIACFhJRZRSRaYmqqKYjmZ7kfZgWv/= vao+qlJnDMziH02aIt24pjzd7MHNyGM97JjPeLAA0oAAkqkgAAAMgAqACqxkJA+BJWUSSElJhki= NMZRlLCe/hJnCwkx28oyYzDm3EiSqSKR3s0pjiFVBOFFGEwMp704BAQCUVEX4GFc89jKZ4hxpVK= whCjnhtAEBaKeZ59COWmOIappzOSZSUZVMeJdXPD6QHVxABolFlAAAgSVSSFlHPp2HlajqGPgYV= mq/k5FyLdq3T31VTPEQ4GxXwZ9gzh4kby1SzHh8imY0+irvotz2Tc+qau6Pq+15Nfq6dLamue/w= AO+msTfuRTD6N57OxdlfB71LTbc03MqvwNzLvRH/mXJuUc9v8Aox3R/wD3L7fgm/u6zv8Aa1z+6= tP3/hDTHkk1iP8AVf3tL8D4Jv7us7/a1z+6tPy1Vyq5oaqqu81f+n26aIo1VNMfg9T1vVcDRdMv= anqeTTjYlmIm5dqiZinmYiO765h1WOljo9nj/wC02L+Cv3XF0/8A7pNc/wBXb/vaGnTpwzhlGst= zVVMxiWdbra7FcU0w3m0Ddm29fqmjR9bwc2umOardq9E1xHpmnv4+5+nnYuNnYl3GzLFvIx7tM0= 3LdymKqao9ExPe0MxMnIw8q3lYl65Yv2qoqt3LdXVqpmO6Yluf0S7hvbo6P9L1fJqpqyq7c28iY= jjm5RVNMzx5ueOfvcuI8MnR4rpnMNaTWRqM01R7tcOnfYNGy9ft39Opq/kjP5qsRM8zarj9qiZ9= HbEx9U/VMvN23PwktMtZ/RVnXqrcVXMK7ayLc+emetFM/wDpqlqfpUzTqeLNNm1fmL1HFu9zNFf= yo7KuO3ifPw/QcJ1VV/TZq7x7Pl66zFu9iO0vedP6O8Kvoyo29XoVVWu5GlVanGp+Kz1aLvXiqj= H8Jx2VdXsmOfNM+d0jb3Rxo2dtjb+rapum9p97XMivGxrNOnzdiLkXJoiJqiuO/iPNHe9Kubc6b= 691U6/Tq2k0RExP8n05t6MTiKerx4P0T39/f2vl1HY3ShmWtIteKbUsW9J1CvPxrdm7dinwlVyb= k0zz/m8zMREcdnnfJt6qujMc2Pec9/r7f9PbVYpn+ifb2dH0Dojrz8/VsHLz9Qt3NPz6sTwuPp/= hbVcRETFXWmunie3mae3jsfp6T0c7Z0zTd9YW48+u5l6NNiLeXasVT4CiunrU3IoiviqaueJpnu= 6vf2ubeWsdJG0IzLm5Ns6Jm6fnZ3jkVXLNV6xavcRT8maa4mn7Kvr4878nae6N+7n3BuTU9I21p= esRqduxTqWHctc2OKKerbmIqrie6mrzz5/q49M16u7RNfrj0+3aY/JyxZomKfT7vjwejrQ6NO0S= /rW6b2De1+5VTptu3gzcjq9aIoruT1o463NPZ5ut9U8fTp3RRh0xkU63uSvBu29bjR7UWcKbsXb= lUUzRVz1o4iet9z5r2+Nz7UvWdC1vbeiXcrSrs3cOnMx+vXhTX8uIommrjiOYmO/js9Ecfi0dIm= 4PFqbV+nEya41mjWartyietXfpiOIniYjqdndERPomHoijX1xmmr2+sf2/RxmrTU94di3H0V4Gn= 2cy5p25pz69O1CxhZ1m5gzamibtVMRMT1pir9qP1fqal0c0a/u/WsOa68K1pVy3i0fyZpEeBqia= Iq5nm5z1uZ7eZqn6+50zL6SNcyKtXm5i6fH8rZtnMv8AFuv5NdqYmmKfldkT1Y555+52La28d87= o1DW7OnbY0fXIzr1Gbk4l6zM27VcUxRFVPNcT3RHfM/c5XLeuop9VVXb5zHzhuivTVTiI7uldI2= 1ruzt15GhXcujL8FTRXRepo6nWpqjmPk8zxP3y69Hc7V0sZu4s/eV+/ujTLGnal4K3TVYsxxTTT= FPyZ/aq831v1dS6JN1afs+rdF+5p04NONTkzFN6qa+pVETHZ1e/tjzvqWtTTRao51UZn+7x12Zq= rq9Ee0OgAPY86SEuy9H+ydY3vn5OFo1eLTdx7UXa/D3Jpjjnjs4iWLl2i1TNVc4iG6KKq5imnu6= 0P2d6ba1HaWv3dF1WbE5NqimqqbNc1U8VRzHbMR6X4zVFdNymKqZzEs1UzTOJEq8ypV5m0QkJBA= BQBJIACFhJRZRRnZom7ciiPv8AsfqUxFNMUx2RHY4cK14O11pj5VTnYqlyqnMgDLIxnvZMZ7xYA= GlAAElUkAAABkAFQAVWMhJIfCSIqSsAIglUsOGVU9qcszLpEIKkwipwcKSQSACZABUnvRZ70CA4= AVEmGTGqeIQYVT2sPOySYYlqEARUAjtngwZZW457XIkRxHBzx3ukRhMkosoqPoAdXAAGiUWUAAC= BJV9eiaXm61q+LpWnWpu5WTci3bpj0z559ER2zM+aIZqqimJqntDURMziHcOhLYte9N00+M0VRp= OFMXMuru6/+jbifTV/VE/U2+tWrdm1TatUxRboiKaaaY4imI7oh1/o72rh7P2xjaNh/Kmj5d+75= 7tyf2qv+UeiIiHYrlNU0TFM8Tx2TL8NxHWzqr2fiOz9NpNPFi3j5+XgXwot60xTRsvAuc1VdW9n= 1R5o76Lf/wDKf93637/wTv3dZ/8Ata5/dWnUel3oks6Lt/Vt3X9w5efmeEi7cpuWaaYrqrriJ7Y= ns/adu+Cb+7rP/wBrXP7q09t+bP8ADoi1Off3+rzWuZ1ea/wdl6f/AN0euf8A0W/72hpy3F6f/w= B0muR/8lv+9oadPof6f+xq+rycV+0j6Daj4LMV+TOvr89X+ULvU+zq0f8APlq/p+Hl6jm2sLAx7= uTk3qurbtW6Zqqqn7Ibo9Fm3Lm1th6Zo1+KPGLVua780zzHhKqpqq7fPxM8c/Ucfu08mKPnJwqi= eZNXw+bpr6kdFm4ev3eKTx9vMcf08NN9I/xrh/6+j+1Da34Smq2sDoszMeqvi7nXbdi3T56vlRX= P9FMtUtI/xrh/6+j+1DHA6ZjTVz++zXEpib9MN1OkvW8vbexdT1vAptV5OLaiq3F2JmiZmqI7Yi= Y9PpeCYPwhN228u3XmabpF/HiqPCUUW66Kpjz8VdaeJ+viXtHTt+6XX4//AEKf7dLTXlw4No7Oo= tVTcpz7uuv1Fy1ciKJbx41ek732Xbu1Wqb+nariczRVxPEVR2xPoqpn+aYeC9COl720ncm6tJ2x= e0SL+Feox8urUKbkxV1a7kUzR1Psq7/qeudAGNkYnRHodvJoqorqouXaaZ/0a7tdVM/fExP3ut9= C1dFzpV6SKqOOPHqI++K70T/S8NqqbVF63T7xH+Xprp9dVuqe/wD8eI9MFjX73SZnY+s04l/V7k= 2aaqcCmubdUzbp6sUxV288cfe7BonQPvjUcSnIvzpunTV3Wsm9V1+PTMUU1RH8/L0fRNLx874UO= u5d+iK5wMK3dtRPmrm3bpif5pqfJ8InpF3HtjXMLRNAyacPrY0ZF69FumqqrmqqIpjrRMRHyZ83= n/n+nTrtRXy9PYxE4h4p01qn1XbucZdSn4PG8PWuh/m3f+mw6GdG3noe/twaNt6/ok5+Ha8Fk15= nhJtVRFcfsdWOe/08PSfg37p17dOjatf13UK825YyKKLc1UU09WJp54+TEPzeiT9/e/Ptq/vIcL= ur1E03bV6Yn0x+H5w60WLUTRXbzGXQt3bN3fvbpfztH1HK0W3q9vBoyLldqblNiaIiiIiOYmrn5= Uebh7zuHbObqPRZc2pZvY9OZVp1vFi5XM+D61NNMTPMRzx2eh4T066/rG3OmnUM/RM65hZNWHZt= TXRETM0zTTMx2x6Yj+Z7VurV9SxOhS5rePmXLeoxpVq9F+IiauvNNMzV6O+ZcdVzposTGMe2Pq3= Y9EVXInv8tcd49GGubW1nRtLz83Trt7V73gbFVmuuaaautTTzVzTHZzVHdy7THweN4T/+LaH+bd= /6bote4t57x3BpVq5n5Oo6nZvx4hHVp5ormYnmOIjz0xPb2dj3HE2f0212KK8jf+HYuT30RHW6v= 1c+DfT1Wo1Onppiq5TE/P7w8di1ZuzMxRMw803J0Gb20fTq8614hqdNuOa7eJdqm5EeeYiqmOfs= jmfqfvfBE/ys1r+Bp/tw9v6PdO3XpmlXsXdusY2rZHhetZvWqJpmKOI+TV2R5+f53mvQvYtY3Tn= vqxZoii3TVc4pjujm7y8FXELmo0923cmJx8x9XqjS0WrtFdPtl5v8Jj97Wd/D2P7EPNHpfwmP3s= 538PY/sQ80foeG/wDi2/o+Vq/tqvqJV5lSrzPc86EhIIAKAJJAAQsJLmwrPhLvWq/Zp73DxM1RE= R2y/Ux7cWrUU+fzkzhmqcOSUWUc3IAAYz3smM94sADSgACSqSAAAAyACoAKrGSe4knuRWKopCQM= ap4VjPektQhMAy2ncvIiC8dqSpKiAAAIMZ7xZ70FiQAUcVc81M654jhxyzKgDOCEk4UGssWVuOO= 1IjmeHJDVMM1SANJCTCLKA+gB1cQAaJRZQAAIGy/wbtgxo+lRunVLURqGbb/7tTVzzasz5+PTV3= /Zx6Za36bk04efYy6sazkxarivwN6Jmivjt4q4mJmPveqf9oHedNMU0adoNMRHZxj3ez/9x8ril= rU36OXZj2nu92juWrVXruNit367iba25m61mz/gsW1NXHnrq7qaY+uZ4j72ts9Pe+pqmYp0uI57= I8WmeP8A1PwukDpQ3JvXTLOm6pRg2Ma1d8L1cW3XR16oiYjrc1TzEcy6O8/D+D00UTOopiZddVx= Cqur/AGpxDv8Au3pc3ZubQcjRdSjA8VyOr1/B2Jpq7KoqjiefTEPYPgm/u7z/APatz+6stYHfOj= zpS1/ZGi3dK0rD02/Zu5FWRVVkW65q600008fJqiOOKY8ztr+HxVp+Xp6Yj3y56XVYveu7Pw251= XTsHVcC7gali2srFu8eEtXaYqpq4nmOY+2Idfjo62LHExtTSPvxqXhX/aF3l6r0L8m7/wBRJ+EL= vH1ZoX5N3/qPiUcJ11PtT7fq+lVr9NV3/wCmxmj7f0LR5qnStIwcGqqOKqrFimiZj0TMQ+nU8/D= 0zAu5ufk2sbGs09a5cu1RFNMfa1e1Hp731lWposRpWFP+lYxpmr/11VR/Q6JubdW4ty3Yua5q+V= m9Xtporq4opn6qY4iP5nW3wLUXKs3Zx/dividqmP5Idn6cN/fHbcNNOF16dJweaMaKo4m5M/tXJ= +3iOI80fXMujaR/jXD/ANfR/ah889yUzNNUTTMxMTzEv01rT02bXKo7PjV3ZuXPXU3t3TomHuPQ= MrRc+q5GLlURTcm1VxVxExPZPb6Hn2J0DbEsZNu7XGpZFNE8zbuZPyavqniIn+lrHGu63651H2m= v9Sdd1uY4nWNQ4/ia/wBXw7fBtTaiaaLuIn6vpVcQs1zmqjLb/pF3pomw9uVVVXLEZFNnweFhUT= HWrmI4piI81MdnM+aPuh5f8EnIu5Oqbqyci5VcvXfF67ldU9tVUzdmZn75eBXbly7XNy7cruVz3= 1VTzLlw87NwpqnDzMjH6/HW8Fdmjnju547/ADvRRwaKNPVbir+ar5c6tfM3YrmPaPh7vqu7MXaP= wmdTzNQueDwcqzaxr9fHMURVbtzFX3TTHP1TLvnST0caH0kU4eqWtUnHyLdrqWsnH6t23ctzPMc= xz2988TE+fztWtAxLu491abp2XmXfCZ+Vax6r9czXVT1qop57Z7eOe76nvWJ0A3sSmacTfWfj0z= 5reP1f6rjx6yxb0tVExc9NcR+Dvp7tV6mqPRmmZd66Jdg29g6fm4lvU69Q8bu03Jqqs+D6vEccc= czy6Z0Sfv6359tX95DuWz9DwujXbOdd1jct/Ntzcm9cycuvq9WIp4iimJmfRPd2zMtUtzbiydR3= dq2t6ffycOM7KuXaYouTTV1JqmaYnifRw4aPT16uq7HqzmO/6uuou02Io9u3w7d8Jqf/ABZzf4e= z/Yh77oWPg726GcLTreX1LWbpdvHruW+KptVxTETHHpiqO76mnWVkZGVem9k37t+5PfXcrmqr+e= XLhZ2dhRPieZkY/Pf4K7VTz/NL69/hdVyxboirFVLwWtbFFyqqY9qntej7PwuiXpT21k6rrlrLx= 87w9vw04/gqbNXU6tMz8qrvmqI57OHq/SVtHWt114VzRt45uhU2KaorpsRM03eeOJnq1U9scT6e= /wA3n09zc7NzerOZmZGTNHPV8Lcmvjn0cy5cfV9Wx7cWrGp5tq3T3U0ZFVMR90S5XuF3rlVNya/= 5o/JujW26ImmKfafzbj9Ge1tX2thZljV9z5OvV37kV27l+Kom3ERxxHWqqdB6If39b8/+qv8AvY= a8TruueudR9qr/AFcFnUdQsZFzIs5+VbvXf/MuUXqoqq+2YnmWKODXMV+quM1R+DVXEKc04p7PQ= vhMfvazv4ex/Yh5o5MnJyMq9N7Kv3b92Y4mu5XNVU/fLjfa0tmbFmm3M5w+deucy5NX4iVeZUq8= z0OaEhIIAKAJJADK1RNy5FEechX0YFrmrwtUdkdz7UopimmKYjiIZMTOXGZzKSiyiIAAMZ72TGe= 8WABpQABJVJAAAAZABUASVVCQkVioiJCVSxWe1GZagFRFyEKiqEgggvCSNZABMJPeiygAJVJKsK= u2eUZJLm2nCKAgcLTHM/UBTHHayU4dGEAFhJRZQR9ADo5AA0SiygAAQJKpJCygCoAEkJPeE94Ei= KAk9yLPcgAAQJPcqSKytV127lNy3XVRXTMTTVTPExMeeJfb/LOr+tc72iv9XwwMzRTV3giqY7Ob= MzMvLmmcrKv3+r3eFuTVx/O+dZRYpiOyzMz3SVjuSVjuaZAEEkJFgkAUEq8ypV5gQkJBABQBJIR= +hhWupb69UfKq/oh8uJa8Ld7f2Y7ZfpMzLFU/CgMsJKLKAAAMZ72TGe8WABpQABJVJAAAAZABUE= mFFViSSSCMap8ysZ70lYQBGl8yLPciILxKMlViMphEVAAJRU4RYE4UBjPYwZ1T5mPDMtQgJwirw= xXkMCM6Y4hKI5llMLTBKcqxOWmMrKEgpKcKCOYc3imX82ufhk8Uy/m9z8Ms9Ra3R5OTc2y4RzeK= ZXze5+E8Uyvm9z8J1FrdHlrk3NsuGUc84mV82ufhTxPK+bXPwnUWt0eU5NzbLhHN4nlfNrn4TxP= K+bXPwnUWt0eVizc2y4Ulz+J5Xza5+FJw8v5td/CRqLW6PK8m5tlwDn8Ty/m1z8MniWX82u/hle= otbo8pybm1wDn8Ty/m138MnieX83u/hlOotbo8kWbm2Xzz3jmnCy/m138MnieX82u/hleotbo8n= JubZcI5vE8v5td/DJ4nl/Nrv4ZOotbo8nJubXBPcjnnDy/m138MniWX82u/gk6i1ujycm5tlwDn= 8Syvm138EniWX82u/gk6i1ujyRZubXAkvo8Syvm138EpOFl/Nrv4JOotbo8rybm1wwOfxLK+bXf= wSeJZXza7+CTqLW6PKcm5tl88o+icLL+bXfwSeJZfza7+CTqLW6PK8m5tfNKx3ObxLL+a3fwSsY= WX82u/gleptbo8pybm1wD6PEsv5td/BKeJZfza7+GU6m1ujycm5tl88jnnCzPm178EniWZ81vfg= lY1NrdHlZs3NsuAc/iWX82vfhk8Sy/m178Er1FndHlOTc2y4EnzPo8Sy/m178Ek4OZ82vfgk6iz= ujycm5tl8w+jxHM+bXvwSTg5nza9+CTqLW6PJybm2XzD6PEcz5re/BKeI5nzW9+CTqLO6PK8m5t= l869szxEczL9vTNobq1PG8Z07buqZdjrTT4S1jV1U8x3xzEP0sLo+3rFc117U1mOO7nDr/RidXY= j+uPJybmP+Mvxce1Fq3FPn88uV2H4i70+iuseyV/ovxE3p9FtY9kr/AEY6uxvjy5ci7tl10di+I= u9PotrHslf6HxE3p9FtY9kr/ROrsb48nIu7ZdclHY52JvT6Lax7JX+ifETen0V1j2Sv9Dq7G+PJ= yLu2XXR2L4ib0+iuseyV/ofETen0V1j2Sv8AQ6uxvjyci5tl11j53ZfiJvT6K6z7JX+jH4h71+i= us+yV/odXY3x5WLFzbLrg7H8RN6/RXWfZK/0PiJvX6K6z7JX+jXV2N8eV5FzbLrg7H8RN6/RXWf= ZK/wBD4ib1+ius+yV/onV2N8eTkXNsuuI7J8RN6/RXWfZK/wBE+Ie9forrPslf6L1djfHk5FzbL= rg7H8Q96/RXWfY6/wBD4h71+ius+x1/onV2N8eTkXNsuuJy7J8Q96/RXWfY6/0PiHvX6K6z7HX+= h1djfHk5FzbLrg7H8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHlORc2y64Ox/EPev0V1n2Ov8AQ+I= e9forrPslf6L1djfHk5FzbLrQ7J8Q96/RXWfY6/0Sdh71+ius+yV/onV2N8eWuRc2y61PenDsnx= D3r9FdY9kr/Q+Ie9forrHslf6HV2N8eTkXNsutTHZ2I7N8Qt6fRXWPZK/0Sdh71+iuseyV/odVY= 3x5Xk3Nsut98I7J8Q96/RXWfZK/0T4hb1+ius+yV/odVY3x5OTc2y64yh2H4hb1+ius+yV/ofEP= ev0V1j2Sv9DqrG+PJybm2XXkl2P4ib0+iuseyV/oTsTen0V1j2Sv9DqrG+PJybm2XWx2P4h70+i= us+yV/ofEPekf/lbWPZK/0Oqs748rybm2XXB2L4ib0+i2seyV/ofETen0V1j2Sv8AROqs748rFq= 5tl1ye9JniHZJ2JvT6K6x7JX+jjq2PvLnj4r6v7JX+h1VndHleTc2y66OwfEfeP0Y1f2Sv9D4j7= x+jGr+yV/ox1FrdHleTc2y6+xdi+JG8foxq/slf6J8R94/RjV/ZK/0Ootbo8nKubXXk4dh+JG8f= oxq/slf6M6NibzqjrRtbV5j+Er/Q6i1ujycq5tl1+I4jgl2P4ib0+i2seyV/ok7E3p9FtY9kr/R= rqbO6PJyrm2XW+xOHZPiJvX6K6x7JX+h8RN6fRXWPZK/0XqbO6PKcm5tl1yCYdj+Im9PorrHslf= 6HxE3p9FtY9kr/AEOps7o8nJubZdbHY6tib0+iuseyV/onxF3p9FdY9kr/AEOps7o8pybm2X6PA= D8C/WgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD79v6Vla5rWLpOHTzfybkUUzPdTHnqn6= ojmZ+x8D3n4P20/ENKr3Hm25jJzKerjxPfTa/wBL7ap/oiPSg9G25pGJoeiYulYVHVs49EUx6ap= 89U/XM8z979EiOBAAAAAAAAAAAAAAAAAAAAAAAAAcVc8yzrniOzvcYJwjIBiLwgJMCgIkxyvADH= jhO9mkwDHhGRwDDgZcJPcDivVdSjmO/wAz4/O5r1XXrmfNHZDjmBWExDGaWcwA4+IThyTDGY4US= 3RNdcUx53300xTEUxHEQ48S31aetMdsudFYpLLhBEJXhBMJwjJOBUlOIZSgNRAGkAAAAAADl+1t= bFx9Qp1PT68eLmVcw6rmHVH7VNy3MVzEfbRFcfbw7PG29OqysKIxaJtaPdm1rU01TPhOra8NVM+= jmabtv/dp88g8+OXctH0zS8/B03WrmNTRj4l3I/lK1RMxE00R4W3H1daJ8H/ux5zWNP0rS8bUNW= oxaLuPlZdidNtXJnjwVVMXq/t4iaKJ+2QdNHoVe2NPs39QsXMejjVbtVGi1TVPyafBeGpmPTz17= VH31eh1nc2HaxKMLDx8Oqi9i4VurOucT23bny+30cRVRT9sA/Dct+xXZtWrlVdqqLtPWpii7TVM= RzMcVRE80z2d08T53bNcr0jQ8qNCo23j5seL26qsu7cuReu1V24q69E01dWKYmeyOrPZHa59O0H= TM7L2xau0UWreRpt7JyO2qJvVW670xE9WJntiimPkxzx3RyDo47nuCjbuVoGVkY06RayseqjwP8= m2sziqJniabk3aer3czE8xPZL9CbG36922tq29vYtFrJot0VZc3Lk3qLldqKutT8rqxETPdxPPH= 1oPPHLTYrnFqyYrtdSmuKJpm5TFfMxM9lPPMx2d/HDsmLGnaNtfT9Tu6NjapkZ927FVWVNfg7NN= uYp6sRRVHyp55mZn0cQ4rmLh5e2NSzsbTYxrs6pYt2bfXmubdFVFyepEz2zHMR39vZCjrZ//ALv= eh5ek6VXpuqadXjaFZzcDDru8Yd3IuZFuu3x1uvXMTant5iY5757H5moXNK0W7i6RG2cbUPCY1m= 5cyrly5F6/NyiKubU01RTTETV1Y7J/Z7fOg/A1XSbun6jn4dV6xXOFX1a6puRTNfbx8mmZ5n7I5= fnO77ixMa/rO9712x1rmNMVWZrj5VEzfopn7+JmHz6jc0rRqsTSPi1j5/hcazcuZNdy7F69NyiK= ubUxPFMRNXEfJnu7QdVosV141zIiq1FFuaYmJuUxVPPPdTM8zHZ2zEdjG7buWa+pdt126+Inq1R= xPExzH88TEu5a1p+nadc3Jes6faqjT9VsUWbV6KpiKObnNE8TzxPViJ7eezvfRr1yjWt5YuJRom= k26LOLZyL1XhLlqmq3GNRXPhKpqniimO7jieI75lR0S1T4S7TbieOtVFPP2vs3Bptej65naXcu0= 3q8W/VamumniKppnjnh2jcmHpdzRcPVcG3pVF2jUIxq503w8WqomnrcT4aP2o476eztfl9I1q7O= +NfvRbrm1TqF2ma+rPViZqniOfT2T/Mg66cw7xqEaNo+uWNufFrHz7dUWabmTcruRfvTcppnrUT= TVFMR8rsjie6OUu4Gk7ewtduXtOx9WvYOrxh49V+qqKOrxc5mqKZjn9mOznv+xR0gdy1W5pOheJ= afO3MTUJycW1k3ci7cuxXXN2mKuLXVqiKYp56sTxPbHa/I3zh42n7sz8PDsVY9i1XEUW6u+mOrE= 8T9YPxAAAAAAAIiapiKYmap7ojzg7P0Z7Xubq3RZwqomMO1/hcqvjuoif2ftqns/p8zaaxat2LV= Fq1RTRbopimimmOIpiO6Ih1Dom2rG19sW7d+iIz8ri7lT54njso/3Y/pmXcmQAAAAAAAAAAAAAA= AAAAAAAAAAJEq5nsBhM8zyizCAnHApwCBMAJMIyAYizCAgpwCJwoDFxX6urTxHfLmmYiOZfLXM1= VTIsOLhJhnwgrCYSYZzCcA42Vqjr1xHm86zD6LNHVo+ue2RJZ+bgAQAFSYRkTAMeEZIIgvCA1CA= aAAAAAAH06ZnZemahY1DBvTZybFcV264iJ4n7J7J+9z2Na1Wzb1C3azblNOpRxlxxE+Fjnrdv38= 93pmPPL88B9mJqediadmafj5E28bNiiMi31Ynr9Weae3jmOJ57jN1PPzcHCwsrIm5j4VNVGPRMR= HUiqeZjsjme30vjAfoX9b1a9Vp1VzNuVTptNNOHzEf4KInrRx6e30+iI7ohlk65q2RVqU3s2uqN= TqivMjiIi7MVdaOeI7OJ9HH8z80B+zjbp3Bj4EYVnUq6bVNE26Jmimblumf82muY61Mds9kTD46= 9W1KqcGrxuumrAo6mLVRxTVajrTV2THE99Uzz39r4gH6usbh1nVrMWc7M69qKuvNFFui3FVX+lV= FMR1qvrnmXDTrGpU6zb1inJ4zrc0zRd6lPZNMRTT2ccd0R5nwAP09H1/V9Js12MHL6lmuetVauW= 6blHW7ut1a4mIn64jlx5WsanlWsi1k5ly9Tk36ci9NfE1V3KYmIq63fHEVT2cvgAfuZO7dw5Niu= xe1GaqLlubd3i1RE3aZiYnrzFPNc8T31czHmYYO6NfwsGjDxtRqptW4mLczbpqrtR6KK5iaqP92= YfjAPvv6zqd+5n3LuT1q9Q48amaKf8ACcVRVHm7O2Ins4dq0TOro0nEt0b6x8TGooiK7d7EqnJx= /wDSptVRRVMR38cVU/ZHa6MA/Y1/XcjUNQ1auxVVbxNQy/GJtVUxM9k1dTme/mIqnuSNya3FWDX= Tm9W5gUdTHri3RFVNPHV6s1cc1Rx2cVcxx2PyAH6up7h1jUrUWszLiu1Tcpu026bVFFFFVPPE00= 0xER+1PZHf5+XHn65q2dby7eVmVXKMzJjKv09WmIruxEx1uIjs757uIfnAP2sPde4cTDpxMfUq6= bdFPUt1TbpquW6fRRXMdamPqiYfmxnZcadc0+Lv/drl2m9XRxHbXETETz391U9j5wHd9v51y3o+= Nas73xcKxRH+Es5OJVVex557fAzFFX2xxVT2+h1zdmpWtY3JnalYpuU2b92arcXP2urxERz9fEd= r8sAAAAAAAel9A2051fXp1vMtz4np9UTb5jsuXu+I/wB3v+3h5/o+n5WrapjabhW5uZGRciiiIj= 0+efqjvmfREtr9paJjbd0HE0nEj5Fijiqvjia6v86qftlJH60RxACAAAAAAAAAAAAAAAAAAAAAA= AABLGFn0AITCgjCYRmkwKxOFnsQEFJgESYUBOEZJwCJwqVTERMyDhvzPHVj73C5J5meZ70mIkWG= EpMMpiUFY8Jwz4SY8wFmjrV8z3Q+hLdPVpiPP52QyicLMAMRknAIAAnCgqIyOAa3+TPfHqK5+db= 948me+PUVz8637zaAXKNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPz= rfvNoAyNX/ACZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/y= Z749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvH= kz3x6iufnW/ebQBkav8Akz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8me+PUVz8637x5M98eorn51v= 3m0AZGr/kz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8AJnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M9= 8eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ= 749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/wCTPfHqK5+db948me+PUVz8637z= aAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me9/UVz8637zaAMjyroT2Hl6= FdydY1zGiznTzax7c1RVNFP8AnVdnZzPd9kT6XqpxHogQAAAAAAAAAAAAAAAAAAAAAAAAAAEmFB= EADIAGE4SYZAZYIzmEmBWKcMkBBU4AcN6fldWO5yV1cRy4e8GKTDLhBWKTHLNOAYcSzs08zz6CI= 5nhzU08RxAJwKCMTheAGIpwDHhJZAMRZhAAAfoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgpwJ7oEwAAAnDGYZgMEZTDC52QK4655q+qGEwzlAYD= KYSYBjMehGREczwC2qe3nj7HIccAInDIBiLwnAJwjIBicLwgIKkwCcHCgPuAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOAEwkwKSCAgo4qp608s= 657OHHwJhJSWRwKx4RlwnAMeGVuniOfSRHayAOABBU4AABJhGQDEXhASUZJMAnBwqA+0AAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJ445Vj= X2iYYTzyjJOBWPBwoDEmF4POBTCgCcIyAYi8IAnCgIKnACKAnCMkQQ4ZU0zVVEQ5vB0ehRmAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABMse= FnvBGMwkwzSYDLBJhnMJwKxWIAE4FAQJAE4UBOEZJwCC8IBwigIkspgopmqrjzA5LNPEcz3y5Of= qAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= ABJVJAAAAEwJMKAxmE4ZpwKwFmAEOABOOBTgEAASYUBiMkmARzW6eI+1x245q+qHNAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgnHCn3= ggqcCgAAAgnCgMOEZpMCsRZhACYAEFSYABlbjmeQZ0xxCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJg4SVAQAXIAGAATCJMMgMs= OEZ8JMCsRZQDjlyUxxHEJRHnZAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACJMCgIHCCqAAAInCcdrIgFAFAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAO04ARBUDIAKR2qQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHHaAmAAUAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAmU5fkbu3Hpe19LjU9YvV2cTwlNublNE19WZ7uYjt4= YbZ3PoW5sa5f0LU7ObTa4i5FHMVUc88cxMRMd09/oa5dfp9WPZiblMVenPu/a5OWq1vpe3roOu5= +PGfb1DGt5VyKbWXR1uIiueyKo4q7vrbI7M1ivX9radrNePGPVmY9N2bcVdaKZnzc+d6dVobumi= Kqu0vNptbb1EzTT3h+z5uSJ5dO6Yd31bI2Hm63Zooryommzi0V/szdqniOfTERzPHn4eDbL0bpw= 6QdMr3HibvvYWLeuTFqq/m3LNN3iZiZoot0zEUxMTHdH1PI9jarkeG5WD0j7J6MLtOq9IGlYesX= dXpqt6hm3671qLE2uPBc3LVUxVNVMzx1fv8z07B3Fp+kbJ0nVNzbg06nwuHZm7m1XIotZFybcTN= VHMRzFU8zEREdnmgHZB1XTekXY+pVZFOBuXAyJxsevJvRRXM9S1RHNVc9ndEPmp6VejqqqKY3fp= fMzx23Jj/kDuY+LK1fS8XSf5WydRxLWn+Di541Xdpi11Z7qutzxxPMPwNN6SNi6nqFjTsDc+n5G= Xfri3atUVzM11T3RHYDtg8p6LN1alas7l1DeG/ND1jBwq7c0V4nERiUzVXExc4tUds/Jj/O7pdl= sdKXR5evUWqN36V1q54jrXurH889kA7iJTVTXTFVMxVTMcxMd0qAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADy/wCE5+7G5/F2v= +bqXwR+7c3/AA3/ALrtvwnP3Y3P4u1/XLqXwRv2dzf8L/7r7Vr7sq+v+HxLv3jT9Hie5P8AKHUv= 4u7/AG5be9EP7sdv/wADR/U1C3J/lFqX8Xd/ty296If3Zbf/AIGj+p6uNfYW/wB/Dz8H+3ufv5d= D+GBjX7/Rfi3bVM1UY+qWrl3jzUzbuUxP4qoj73Yvg46jg53RFotvEv267mLbqs37dNUTVbriur= sqjzc9/wBku5bm0TT9x6Fl6LqtiL2Hl25ouU88THniYnzTE8TE+mHgWb8GOvxu7Vp28PB48zzRT= ew5muI9EzFcRP28R9kPzb9G7V8MCf8Awtxv9q2v7u68d6UMvJzNf2Fpl/TsnVMTH29p82sC1VVE= 5M1URNUR1YmeZ4insjn5L1ijoLyqejC9s6rc1mq7c1enUIyZxZ4iItdTqdXrffzz9z9je3Q1i7k= 0Lb1q1rN7Tta0TBs4lrOtW+YrptxHHNPWiY7YmYmKuznzivP9sY2NOi7xrp6KMzaVdvbGfNObeu= ZExXPUiPB/4SIjmYmZ9PyX42wdibY1b4PmvbozdPmvV8SMmbORF2uJp6lFM09kTxPb9T1HQeine= GLa1bH1jpFzNWxtQ0vJwabN6m5VTRVdo6sXOJrmJ47X6u0+jK/oXRJquxatYt37mfF+IyosTTFH= hKYj9nrdvHHpEa769m5eR0NbD0i7l3KMK/qGb4Tmrsjq3KIp/m8JXx9rZTbnQ/sHRM7C1LT9Gqp= zMOqm5avVZFyqrrR3VTHW45+516joP0/J6LsTZ+p6rNzKwsi7kY2fZs9WaJrntiaJmeae7mOY7o= 7YfPszoh3hoGv6Zm3ekjPzMDCvUVThzF2mi5RT/mcTcmIjj6uAeadE2p6JpG0OkrL3Fg1ahp/hs= eivFprmnw1U3LvVp5ieYjrcdvoj7nXN3VafnbOu52n9EWZodiuKLlrVqb+RctUUzVEd9VPVmKu7= v75h7hoHQZbxNu7o0XUtc8Yt65ctXbdyzj9SrHrt1VVUzxNU9btqj0d0+l+Fe6BN23dH/kW50l5= NemRTFEYlVi5NrqxMTEdXwnHETEcfYD0noAy8jN6H9u5GVdqu3IxqrfWq7+rRcqopj7qaYj7ne3= XOjPbde0Nkadty5l05dWFTXTN6mjqRX1q6qu7meP2uHYwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAeX/Cc/djc/i7X9cupfBH/= AGdzf8L/AO67b8Jz92Nz+Ltf1y6l8Ef9nc3/AA3/ALr7Vr7sq+v+HxL33lT9Hie5P8otS/i7v9u= W3vRD+7Hb/wDA0f1NQtyf5Q6l/F3f7ctvOiGf/DHb38DR/U9XGvsLf7+Hn4P9vc/fy7NnV1W8DI= uUTxVTaqmJ9ExDVLYm6OnPe3js7d12rIjCqoi914x7fV6/W6v7VMc/sy2r1P8AxZlf6mv+zLX34= Fn/AJW7P9Zi/wBV5+bfo4fNsTpR37t3pKs7Q6RqvC05N2ixVNy3RFdmqv8AYrpqojiqiZmOe/7u= Jeoba1nduT0raxpeoZej16FZornFtWL9qrJpmJp469EVdaI7Z74jzPFfhN128zp10jGwZivJoxs= WzXFM9sXJvVzEfbxVT/PD7sXUcnSOnLpL1PDq6uTi6TmXbVXHPFcRb4nj6pBsVnbk2/p+TVjZ+u= 6Xi3qe+3ey6KKo+2Jnl1rpG3RmfE69n7G1nQr+ZayLdFV29mWvA0xPPMTVNUUxPojl4r0KdFW39= 77JzN0biy9QyM25lXojwd+Kf2YieapmJmapmZnnn0OmaHER8H/c9Md0a3iR/wCmoHs/TdvzXdv9= F+3snA17Dxdx5FePVmU4tdq51qarNc11Ux2xNE1xHFUdnd2vS9qbq0jM2liajka7p1ybWJYqzbv= jNHFquumP25ieKZmrmO3jta9dN+29Lt9C+yN1027n8qXMPAwaq+vPV8F4tXXx1e7nmO93bL2z0d= 7G6FcnM1TEzq8PW8bCqy7Nq/M3L92ni5RTRM9lPbNUz9UT9gPXMfde2Mm/RYxtxaReu1zxTRRmW= 6qqp9ERE9rzLpX3duLSOmnZ+habqdzH03Pmz4zYiimYuda9NM8zMcx2dnZLwLeU7Mu7fjJ27s3c= ek3+vTVby8nIm5Zqp9Hd5+Y4mJ9DvWtZuVqO/uh/Nzb1V/Iu4GFNy5VPNVc+GmOZnzzPpBtTAQA= AAAAAAD8PfG4MbbW28rVL/wAqqinq2aP9O5P7Mf8AOfqiXgHlU33zP/xqI+rxWz7gNmxrJ5VN9+= u49ks+4eVTffruPZLPuLgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367= j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyq= b79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+= /XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsay= eVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHl= U3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbN= jWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9= w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcM= DZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZ= LPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz= 7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79d= x7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/Xce= yWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTf= fruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU336= 7j2Sz7hgbNgIAAAAPL/hOfuxufxdr+uXSfgp52FiVbioyszHsVXZxvBxduxTNXHheeOe/vh7zq+= mafq2L4pqeFj5mP1oqm3eoiqnmO6eJfkVbE2ZMdu19In/AISj9Hvt6ymnTTYmO85y+dd0lVWpi9= E9vhrruLok31d1LNzsTSrWXYu37lymbWVb5mmapmOyZh6F0e9It3auiYW3t57c1TR7WHbps282r= Hrm3VEeers7Pu5ek2NlbYxuZw9IsYcz3zi1VWZ/nomJc8bdtW4mnG1LU7duqOKrdzInIoqj0cXe= t2fZw6XuIc+iKLsZiP0Ys6CbNc125xMvtsZeJrGj13tOy7GTZv2qot3bdcVUzzHHfDWvTPg/9JG= mzd/k3dmmYXhJia/F8zIt9bjnjnq0RzxzP873jE2dj6ZkXM3Rb9Om5NUzM02LfVsXezs8Ja56sz= /81PVn63Z8abk2om7TTTc4+VFM8xz9T51WM+z6VE1Y93h3RZ0E39A3RZ3LurWLWpZuPc8LZs2Yq= qo8J5q6q6+2qY74jiO2Inme5+3onRdnWeljc259Uv4ORpGtY17H8Woqr8L1bnU5ir5MRHZTPdPn= etJMcstNVq9nZ+1bmda2X0y6BjaZc5uV2bupRbrniJ7Jpp60TPHZzHHPofN0PbM1Pe/Q9uLR9Ov= 41i7d1excpu5E1RRPUo5qj5MTPPyo8z2SvoG6Na7lVyrRsiaqp5n/AL7e7/xO97b0DSNt6Ta0nR= MG1hYdrnq26OZ5nzzMz2zP1zMyK6HvXozydzdD2jbNuZ9jH1DS7ONNF6Imq1VdtWptzE9kT1Ziq= rt457ux1ux0R7y1Xo+z9r7t3VjZUW6sevSK7XWuU4824rpmmrmmmZiYqpjvmY4+rt7rujU83P3n= Z0rCuX7GNptrwmfNNVdEVTdpmLcxNMTz1erNXFUxEzMejs65rd/eutZ1i9GHrODHgZt0049FVvw= XhOrz1p5+XVT16O2eI5t3PNPLtRYmr5eeq/jtDquq9EfTBqm3adu5+9tIyNLt00UU49ddziIo46= kcxa57OI879+50Sa/Xruws/wAf0zwe3MbHs5Udevm5Nu5NUzR8ntjifPw7Bcyt5YOhYFjBwL1zx= m1NNyK4u1XLHWimmOZqmaoqpmvv7qot1TERzD6NG1HdOu61gWNS0vK0/CouU5VdUW6rfbFuKvBV= VTPyoiq5THPEczbq7OJ7HJnGcrzo7YeiUqlKuLsAAAAJVPCuidM27I25tmbGLd6uo5vNux1Z4qt= 0/wCdX90dkfXMegHlXTduyNwbknT8S51sDT5mimY7q7ndVV/RxH2c+d5+faKACgAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADdABkAAAADgAODgAOCIi= O4AAAAAfLXp2Bczac65hY9WVTTFNN6bUTXERPPEVd/D6erT6FBMJ1Y9BFMQoKAAAAATPAOLMyLG= Li3cnIuU27Vqia66qp7KaYjmZaqdIG5L26dzZGp1zVFjnqY1uf8AMtx3R9s98/XL0/4Qe6/A41G= 18K5/hL0RczJj/No76aPv75+qI9LxBYABQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAABugAyAAAAAAAAAAAAAAAAAAAAAADG5+yANXemD94+sf62n+= xS6mCgAoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAA//9k=3D" width=3D"793" height=3D"1121" alt=3D"" style=3D"margin-left:-1p= t; position:absolute" /><img src=3D"data:image/jpeg;base64,/9j/4AAQSkZ= JRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBA= QEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAAbAE0DASIAAhEBAxEB= /8QAGwAAAQUBAQAAAAAAAAAAAAAABwUGCAkKAgT/xAApEAABBAMAAQQCAgIDAAAAAAAFAwQGBwE= CCAkREhMUABUKFiEiGCUy/8QAFwEAAwEAAAAAAAAAAAAAAAAAAAECA//EACkRAQACAAYBAwMFAQ= AAAAAAAAECEQASITFBUQNxkfATImEygaHB8dH/2gAMAwEAAhEDEQA/ALAbx6gFUHCruua3rKsFM= MDvK/BjZu2mcwdmDZDW+LBBRGGRYS3M6bOyDrRuPBR8MxTTQatUEUk9Go5nvujzW3N/m+6DizK0= o6FqbmeLnGqRiK1tedm26ftJ0HdJ4cMNZg3jZduPhxR033S3cDFMvXg7ffZF4gi4TUQ1DjUFHp9= 5X/HtX1jtGj+vMdg+QCyRAYpjTcPIbgrE/dUprRB6grn4FnkcMMk5QE13122/asENE9d9lM6ZcD= 3yLdzI0R2hNAl83CT7Urt/ZDeV8go8yOCkS5trYN0fXsL2s8JJW8FS+6+iVIF5XN443LyCQNp+m= OeGmjF21EKI75QhG5S1Va1V6/c29TGEPGOaaqynLmVVZ0n5DeivTHcTv/oqsb6R5H7biswo6/zA= R/JqzMArSmcgqO9I6I2/7l9WUpWKtt1ioVPbRcvGSCSRhmh7190fj11yoSWJnproe4bApHmWTvI= 8ypSLBZX0HfVjy+ekINWmZQyfFYrBQQNjJWDmY2KcCMFpAuLw/Yj4+Eci3pV3osWHN1mF5GZrA7= Y8aNMXvGulpv1VN6i8idFo863tPapzVUrLE5OeZx2YQmOqpxeHpS6OrRAhJ3hMoNE5HkHUc0YPf= sPY5ndB78/T6q4QO8jXAnQBpKuMd1OJVcHPFklXbIKIs0zJaNhVYyylxUkKbIimtiRArWwwuCjT= 9ym5PBZfs5EJqrNXSP4EIxnu/cLlWyzLw+51V+k/SieWm0lBlWaVWINFrrduv8XgftJJ1jV1HVv= 1jM7KK3NyzOZElFJjJGidg1PbVEE3koViI0xY0FdziRMlYo8K/RWXfJP2bwWFLhzLhtuye/Lp4Z= l0nI5b0Xjk+sOi67qGaBq2dW9Zln37c8hDRWBwJogs9xkPH1pgJfTGSKjGrs45HNXrVsGjzfcyT= X0bKoZ3APKsIiPEfgmeePSS5Jp9w972bcZUnz2SeiSk4rlmYsJhVyNlyEKIcO14pXounKlhk+SO= G9m6T82a2RGLrOHCLNKQEAhXKzqy+v8AmbsOrqIlqnW4qt57yjL+icaAa4K27X1QDKoJVgpZSOi= JuEyfdyAFycQmDKMCxYWXL6CcPXbdZv8AhljnC6qN5RDkD8/7d4bCB5IRuhtY5mmq4sdSzfbCGP= uO44dSy/W4XqSOdh8fxmfK17c9h1i9sWBz2jHO0n/q7SdyOJuZiabG63cOXIo8qTaKtSDWEGB0t= y2WH7OstyXOLWuKVTKa11T1hsYKIp6t07h6S6LuGxZ3pU9BVw51eKBnBFgOkCL+Uy6TpCyboJH2= jlsjoOYOHzt1jZRk2dxFuvPcPOXJ9wcqZ6Fqo4968aTzmioPHdI5Nv0TYcBqGVR4hUhu3x12JZZ= y6PxCFi/t2XGSVgJEhI6JtI4D2cInd8M2xUBs4PXAHsnjW3Fa70U7RgNGlucZbeshMwqoLJtujG= IRq7o2cT8SQFbxM0fzFhRuItXxRFscWIk09ESe7RYU/piZxXcdO6y+9b/5gfH4zyRjdXGX25nVM= tCK8Mni67MeOM9GWI3gkxvSuevYx2vR1Rrx9XohjBGVzUzdlHxOULKIjLWVgM2O4cS2tNMprOnZ= Vog2zqIbuSLN07+i7R10HeLWVGpMn0u1eSo/IwY6wK9fRz9wfJyBJk2PVXHXbvIpwYdPlWrIhug= i+2bNlE2m7lRd5hHDh04VVoL6GmthjrX6E6Cv2CVXTF59F8AN/HFzHxTVNsxa47Cswkdlw6Snbq= mOYcq5YgK6r9qL1RZHjCnwiophdu9eNyWGg97dz4co+tE490FFnK/2nEbNUkBXc+u2cOFxFKxwe= strnbGNs6qqN9t9c5xjOdc49cev4yo+SKB+mWxVbb12aGnBi4wgebxxrRjNYqpplRpdxd8YfLn8= j7Cddx9D8v29KRnOz6hO4b8kfLPUcc0dfs6pt6HdDT4jGy01TWV2bLRQ5ursHkGc4SHJs1vcV1w= Owuu31HVX51OrYRChQK+vHVP7qm2g9m3Y2/ypOIJKams7OqOmjWTN9Cb5uTiTQtrjV2okRw4bMs= Lb6Jb7I667Zx8d28w0aZ7f7IMEoP8AYIleqehCRBxiSy9D7D19bcudOl/hbn0kEsquFVFPjRSTS= 093tT000xrrgZxSFMYAJ3AweR2dEAm+m+mREbuO2gw3Gu+ce/2MR81QbJ529c+uyaeu2fXP+fxh= W2h13t3eKp3jVNNN6e3Zv+e8XG+VDyg2VLJXAL769GQytlqaIPpVyF4+4zLh01Oa2a7HOBjG8eg= zwPfA9vvFxzp6lHGDVPVBsu9dNhqi7h0R11hBzj5KeufJO9sWn1Kh5OKB4dCmE7NCrXjsvPAiiT= 2ewyuhDFiPFi5KvkqtI5yFxo6UZoIMmmrt2q8SwjjXeAZfmelz5B0XOxUiaKvVdlnhMtN58RIO1= tv/AEq5ePJQs4XU29Meu6qm22fT/Ofwl0/AYzRBY6cqJEvBS0kCpRw29ESmU7KkAyRoVI27RXD0= y7T02ZyAAENMXSOiTxgUFMXzNwg5bpqajEUUFNn5898GSK5pBKXb1pxtxg82F3r0B4843AZZG6E= 4fizS/GDyRQzepB7/AAamMIDNxjF9MCmG6LMkOBDZ3tKaq3YSDdkUTsOs7FD6CsJRvd85enP3ks= 7b8kGLCqePUFyzPUYtHBUmMwuxGBR63PjnskGR5XUGLeakUipQQkRWPOWaOmj79KLKOGOrhyho2= VhXMaSrifN4k0mYkxJW8Fj5CLRBMtNJu6wAjxWay6xiQphtvI/fo1fTmeTGUOdd9t91S8iJudt8= 5X9NV2rawiNMF8yKqdJJADuXgF/+3jE6nQx/h5GTjORgXGrlCSYV1UFnB7Mk1zrtj2uW+mdsba+= 7XM5IXeUvv56YX0vHd5I2c1rx/wAMSGsLvK7PHu2RUjlJ8PRGeHcif7fC6wikxHTAGIkYnSSwwg= fOLR8WDKDpJHV2RtmzDyQquLSetUCrNg9wogi4OffK71p5AJHKqKWqrlR8xRhD+Yv4/ZwaSn2Eq= QHHY6CRj0aiTBnITEvlaz6SsyDYIEDviqQQaeON0FEwy+uY6WHG2VsRYDCbHISqYxWNkHhIMGNT= eZuG7R883Wyo4331P6OHe6WrhdFlh6s51GtllGo/Vq23yllCqisIZSZ97J6sYk4abJiVQBJ4NlE= qW1IB1iA0v9B60fmnjJ0igYDhzLLK7ZTdgZECy7HduRHM3KLyR00NNTDfHBczEs0Hn5pg6T7ubp= 3x5x+qLAZ8gcm1mn0FGjhYUQhMLNBjaGI0WQYkYrJ13TMWSYlUGD2OSNQFsptq2ESEGq8SbPt1W= rfXr/Fu67nvbvPHWd12GHj8dkX/ACIARHZhGk3Wo3LIDUkNWar41drKrYXUySVwr/v7c4109uMe= mfXFvacXZ3SNbjLaMTexB7A44kg9nLbGsA0gNNvhYwG+IDU3kmUwOVfCw4tq+0ZfAi8+g2WcpKu= EtVfzZ5/FUraF1lyF0YLhAbIRiR6Ry/eIYJFiXzO8VjBm+FflLP36yfoiknp8aSmiX+vu9nvztt= kyR3ovDIRi5gpqr5r+sf/Z" width=3D"77" height=3D"27" alt=3D"" style=3D"margin= -left:441.05pt; position:absolute" /><svg font-family=3D"Times= New Roman" font-size=3D"16" height=3D"41.33" version=3D"1.1" width=3D"209.= 31" xmlns=3D"http://www.w3.org/2000/svg" style=3D"width:209.31px; height:41= .33px; font-family:'Times New Roman'; font-size:16px" xmlns:xlink=3D"http:/= /www.w3.org/1999/xlink"><defs /><g><g><path d=3D"M0,0 L209,0 L209,0 L209,41= L209,41 L0,41 Z" fill=3D"#7c7c7c" fill-rule=3D"evenodd" /></g></g></svg></= span><a href=3D"http://www.anatomiadigital.org/" sty= le=3D"text-decoration:none">www.anatomiadigital.org</a>ISSN: 2697-3391= Vol. 8<spa= n class=3D"awspan" style=3D"letter-spacing:-0.2pt; color:#ffffff"> <= span class=3D"awspan" style=3D"color:#ffffff">No. 2.1, pp. 19 =E2=80=93</s= pan> = 33, abril - mayo 2025 = Revista en ciencias m=C3=A9dicas, salud p=C3=BAblica Art=C3=ADculo de revis= i=C3=B3n bibliogr=C3=A1fica.<a id=3D"_._Metod= olog=C3=ADa"></a>2.Metodolog=C3=ADa= Se llev=C3=B3 a</s= pan> cabo una revisi=C3=B3n</sp= an> bibliogr=C3=A1fica, fundamentada<span= class=3D"awspan" style=3D"letter-spacing:3.85pt"> en </sp= an>art=C3=ADculos y estudios cient=C3=ADficos publicados en</span= > revistas de alto impacto= en el =C3=A1mbito = de la salud humana. Se realiz=C3=B3 una b=C3=BAsqueda</sp= an> de art=C3=ADculos en= bases de datos como </spa= n>Google Acad=C3=A9mico<span= class=3D"awspan" style=3D"letter-spacing:-0.1pt"> y </spa= n>PubMed, as=C3=AD como<span= class=3D"awspan" style=3D"letter-spacing:1.25pt"> en </sp= an>otras como SCie= lo <sp= an class=3D"awspan">y Springer. Para</spa= n> ello, se emplearon<= span class=3D"awspan" style=3D"letter-spacing:1.25pt"> combinaciones de t=C3=A9rminos con <s= pan class=3D"awspan">el operador booleano</= span> AND, incluyendo =E2=80=9CHip= oacusia=E2=80=9D, =E2=80=9Ctrauma craneal= =E2=80=9D, =E2=80=9Ctraumatismo craneoencef=C3=A1lico=E2=80= =9D, <s= pan class=3D"awspan">=E2=80=9Ccomplicaciones=E2=80=9D, =E2= =80=9Cdiagn=C3=B3stico=E2=80=9D y =E2=80=9C= tratamiento=E2=80=9D. La b=C3=BAsqueda se</= span> centr=C3=B3 en revistas</spa= n> m=C3=A9dicas y se limit=C3=B3= a ensayos c= ontrolados </s= pan>aleatorios (ECA), estudios</span= > e = investigaciones originales,</= span> metaan=C3=A1lisis y revision= es <spa= n class=3D"awspan">sistem=C3=A1ticas dedicadas al<sp= an class=3D"awspan" style=3D"letter-spacing:1.4pt"> estudio= de la hipoac= usia <s= pan class=3D"awspan">y el trauma<spa= n class=3D"awspan" style=3D"letter-spacing:1.4pt"> craneal,= especialmente aquellos</span= > que trataban el diagn=C3=B3stico y el manejo de la hipoacusia p= or trauma craneal.Se</= span> incluyeron estudios original= es, <sp= an class=3D"awspan">investigaciones cl=C3=ADnicas,<s= pan class=3D"awspan" style=3D"letter-spacing:2.6pt"> metaan=C3=A1lisis y revisiones sist= em=C3=A1ticas = publicadas entre 2021 </spa= n>y 2025, que= se= centraron en el <sp= an class=3D"awspan">diagn=C3=B3stico y tratamiento<s= pan class=3D"awspan" style=3D"letter-spacing:2.15pt"> de <= /span>la hipoacusia causada </s= pan>por trauma cra= neal. = Se excluyeron art= =C3=ADculos <= /span>en idiomas diferentes al</sp= an> espa=C3=B1ol e ingl=C3=A9s,= <span= class=3D"awspan">aquellos sin acceso</sp= an> al texto completo<s= pan class=3D"awspan" style=3D"letter-spacing:0.05pt"> y </= span>los que no abordaban el tema p= ropuesto. Finalmente se seleccionaron 19 documentos<a id=3D"_._Resultados"></a>3.ResultadosPenn et al. </span= >(15) realizaron = un <sp= an class=3D"awspan">estudio con un= modelo de trauma<spa= n class=3D"awspan" style=3D"letter-spacing:0.45pt"> craneoencef=C3=A1lico (TCE) leve c= on <spa= n class=3D"awspan">el prop=C3=B3sito de</sp= an> establecer la cronolog=C3=ADa<= /span> de la patolog=C3=ADa= auditiva posterior a m=C3=BAlti= ples <s= pan class=3D"awspan">lesiones leves. Los</s= pan> ratones fueron sometidos</spa= n> a = un impacto c= ortical </span= >controlado en la = l=C3=ADnea </= span>media del cr= =C3=A1neo, </= span>con un interv= alo <s= pan class=3D"awspan">de 48 horas<s= pan class=3D"awspan" style=3D"letter-spacing:0.85pt"> entre cada impacto, para </s= pan>un total de 5</s= pan> impactos, la funci=C3=B3n</sp= an> auditiva fue evaluada<s= pan class=3D"awspan" style=3D"letter-spacing:0.7pt"> mediante la respuesta auditiva </= span>del tronco encef=C3=A1lico<= /span> <span= class=3D"awspan">(ABR). Adem=C3=A1s, se= <spa= n class=3D"awspan">recogieron muestras de <= span class=3D"awspan">cerebro y c=C3=B3cl= ea <sp= an class=3D"awspan">para trazar una crono= log=C3=ADa </s= pan>de la patolog=C3= =ADa <s= pan class=3D"awspan">celular. Observaron u= n <span= class=3D"awspan">aumento en los<spa= n class=3D"awspan" style=3D"letter-spacing:2.3pt"> umbrales= del potencial evocado</span= > auditivo del tronco<sp= an class=3D"awspan" style=3D"letter-spacing:0.15pt"> cerebral (ABR) y una = reducci=C3=B3n en = las <s= pan class=3D"awspan">amplitudes de la onda </span= >P1 (ABR) en</sp= an> los animales con<= span class=3D"awspan" style=3D"letter-spacing:-0.65pt"> traumatismo craneoencef=C3=A1lico<span= class=3D"awspan" style=3D"letter-spacing:-0.65pt"> (TCE)= recurrente, en comparaci=C3= =B3n <= span class=3D"awspan">con los animales</s= pan> control. El procesamiento<= /span> temporal auditivo mostr= =C3=B3 alteraciones a partir de <s= pan class=3D"awspan">los 30 despu=C3=A9s</s= pan> del impacto (dpi),<spa= n class=3D"awspan" style=3D"letter-spacing:1.3pt"> adem=C3=A1s, la degeneraci=C3=B3n</sp= an> del ganglio espiral fue</spa= n> evidente desde los<sp= an class=3D"awspan" style=3D"letter-spacing:0.55pt"> 14 </= span>dpi, no se</s= pan> observ=C3=B3 p=C3=A9rdida = de <sp= an class=3D"awspan">c=C3=A9lulas ciliadas. (15).En un art= =C3=ADculo </= span>original publicado<span= class=3D"awspan" style=3D"letter-spacing:1.75pt"> por </s= pan>Bansal et al.<= /span> (1) se realiz=C3=B3</spa= n> un estudio con 380 pacientes de 18 a= 60 a=C3=B1os, los<s= pan class=3D"awspan" style=3D"letter-spacing:5.6pt"> cuales= ten=C3=ADan un diagn=C3=B3stico de traumatismo craneo= encef=C3=A1lico leve, 267 eran </sp= an>hombres y 113</= span> mujeres. Con respecto</sp= an> a las pruebas audiol=C3=B3g= icas, <= span class=3D"awspan">se realiz=C3=B3 el</s= pan> umbral tonal medio<spa= n class=3D"awspan" style=3D"letter-spacing:1.7pt"> (pure </= span>tone average P= TA) <sp= an class=3D"awspan">en todos los pacientes = (n <sp= an class=3D"awspan">=3D 380) en la evalu= aci=C3=B3n <= /span>inicial, de estos,<sp= an class=3D"awspan" style=3D"letter-spacing:-0.05pt"> 269= pacientes (70,7 %) acudiero= n <sp= an class=3D"awspan">a un segundo control<= /span> a los 3 meses </spa= n>y, 195 pacientes= <span= class=3D"awspan">(51,3 %) regresaron</sp= an> para un tercer control</s= pan> a los 6 mese= s <span= class=3D"awspan">despu=C3=A9s de la= lesi=C3=B3n. As=C3=AD mismo,</= span> se realizaron otoemisionesEsta revista est=C3=A1<spa= n class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spacin= g:-0.2pt"> protegida bajo <spa= n class=3D"awspan" style=3D"font-size:8pt; font-style:italic">una<sp= an class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spaci= ng:-0.2pt"> licencia Creative = Commons</= span> en la <sp= an class=3D"awspan" style=3D"font-size:8pt; font-style:italic">4.0<s= pan class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spac= ing:2pt"> International. Copia de la licencia: <a hr= ef=3D"http://creativecommons.org/licenses/by-nc-sa/4.0/" style=3D"text-deco= ration:none"></a><a href=3D"= http://creativecommons.org/licenses/by-nc-sa/4.0/" style=3D"text-decoration= :none">http://creativecommons.org/lice= nses/by-nc-sa/4.0/</a>D i</span= > a g </s= pan>n =C3=B3 <spa= n class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#fff= fff">s t<span= class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-spac= ing:0.4pt; color:#ffffff"> i c <s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#f= fffff">o M</sp= an> =C3=A9 d i c o<s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#f= fffff">P =C3=A1</span= > g i </s= pan>n a = 25 | 33<img src=3D"data:image/jpeg;base64,/= 9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEP= ERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4= eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCARhAxkDAS= IAAhEBAxEB/8QAHAABAQACAwEBAAAAAAAAAAAAAAECCAMGBwQF/8QAWBABAAEDAwAECAsDBgsGA= wkAAAECAwQFBhEHEiExExQXQVFVlNIIFiJUVmFxgZKT0TI3dBWRobGysyM1NkJSc3WChMHTGCQn= M6LDJWJyJkNFRmOjwuHw/8QAGwEBAQEBAQEBAQAAAAAAAAAAAAECAwQFBgf/xAA1EQEAAQMCBQM= BBgUEAwAAAAAAAQIDEQRSBRMUMZESIUFxMzVRYYHwFSJCodEGIzKxNMHh/9oADAMBAAIRAxEAPw= DpoD+lPxQANEosoAAECSqSLKAKgAkkJPeE94pIACT3Is9yAABAkqkiysBAIkosoKkrHckrHcqAC= CSEiwACglXmVKvMCEhIIAKAJJAAQsJKLKKSACD9HDteCt8z+1V2y+XCtde51qo+TT/W/RYmWK5+= BjPeyYz3sswANKAAJKpIAAADIAKgAqsZCQPgAlCEqnsYkiNQkosoKMZ7e1ap8zGGKpy1TAksuWN= TDeQFpjsIgmQWYRqUhJ7wnvAAASUVBRJUnu5QYVT5mE9yzPM8pPc5z7ukIkwqpgliLKfZ2osLTT= 1qo9Dk+5KY6sfWy5daacQ5VVe76AHocAAaJRZQAAIElUkhZQBUB9uBpebm4OdnY9masbAt03Mi5= PZFMVVRTTH2zM931T6Hb+jros17fGi3tV0vO02xZs5E4805FdcVTVFNNUzHVpmOPlR/S897VWrN= M1VziOzrbs13JxTDoU96PY5+DxvD1tof5t3/AKZ/2eN3+ttD/Nu/9N5f4tpN7t0N/a8cOXreV8H= /AHxZpmbWTo2R6KaMiuJn8VEQ6JuzZe59rXONc0jIxrfPEXojr2pnzcV08xz9XPLva12nvTiiuJ= lzr0123GaqXX57kWe5HrcAAIElUkVYAESUWU5gWElY7klY7lQAQSQkWAAUEq8ypV5gQkJBABQBJ= IACFhJRZRSRaYmqqKYjmZ7kfZgWv/vao+qlJnDMziH02aIt24pjzd7MHNyGM97JjPeLAA0oAAkq= kgAAAMgAqACqxkJA+BJWUSSElJhkiNMZRlLCe/hJnCwkx28oyYzDm3EiSqSKR3s0pjiFVBOFFGE= wMp704BAQCUVEX4GFc89jKZ4hxpVKwhCjnhtAEBaKeZ59COWmOIappzOSZSUZVMeJdXPD6QHVxA= BolFlAAAgSVSSFlHPp2HlajqGPgYVmq/k5FyLdq3T31VTPEQ4GxXwZ9gzh4kby1SzHh8imY0+ir= votz2Tc+qau6Pq+15Nfq6dLamue/wAO+msTfuRTD6N57OxdlfB71LTbc03MqvwNzLvRH/mXJuUc= 9v8Aox3R/wD3L7fgm/u6zv8Aa1z+6tP3/hDTHkk1iP8AVf3tL8D4Jv7us7/a1z+6tPy1Vyq5oaq= qu81f+n26aIo1VNMfg9T1vVcDRdMvanqeTTjYlmIm5dqiZinmYiO765h1WOljo9nj/wC02L+Cv3= XF0/8A7pNc/wBXb/vaGnTpwzhlGstzVVMxiWdbra7FcU0w3m0Ddm29fqmjR9bwc2umOardq9E1x= Hpmnv4+5+nnYuNnYl3GzLFvIx7tM03LdymKqao9ExPe0MxMnIw8q3lYl65Yv2qoqt3LdXVqpmO6= Yluf0S7hvbo6P9L1fJqpqyq7c28iYjjm5RVNMzx5ueOfvcuI8MnR4rpnMNaTWRqM01R7tcOnfYN= Gy9ft39Opq/kjP5qsRM8zarj9qiZ9HbEx9U/VMvN23PwktMtZ/RVnXqrcVXMK7ayLc+emetFM/w= DpqlqfpUzTqeLNNm1fmL1HFu9zNFfyo7KuO3ifPw/QcJ1VV/TZq7x7Pl66zFu9iO0vedP6O8Kvo= yo29XoVVWu5GlVanGp+Kz1aLvXiqjH8Jx2VdXsmOfNM+d0jb3Rxo2dtjb+rapum9p97XMivGxrN= OnzdiLkXJoiJqiuO/iPNHe9Kubc6b691U6/Tq2k0RExP8n05t6MTiKerx4P0T39/f2vl1HY3Shm= WtIteKbUsW9J1CvPxrdm7dinwlVybk0zz/m8zMREcdnnfJt6qujMc2Pec9/r7f9PbVYpn+ifb2d= H0Dojrz8/VsHLz9Qt3NPz6sTwuPp/hbVcRETFXWmunie3mae3jsfp6T0c7Z0zTd9YW48+u5l6NN= iLeXasVT4CiunrU3IoiviqaueJpnu6vf2ubeWsdJG0IzLm5Ns6Jm6fnZ3jkVXLNV6xavcRT8maa= 4mn7Kvr4878nae6N+7n3BuTU9I21pesRqduxTqWHctc2OKKerbmIqrie6mrzz5/q49M16u7RNfr= j0+3aY/JyxZomKfT7vjwejrQ6NO0S/rW6b2De1+5VTptu3gzcjq9aIoruT1o463NPZ5ut9U8fTp= 3RRh0xkU63uSvBu29bjR7UWcKbsXblUUzRVz1o4iet9z5r2+Nz7UvWdC1vbeiXcrSrs3cOnMx+v= XhTX8uIommrjiOYmO/js9Ecfi0dIm4PFqbV+nEya41mjWartyietXfpiOIniYjqdndERPomHoij= X1xmmr2+sf2/RxmrTU94di3H0V4Gn2cy5p25pz69O1CxhZ1m5gzamibtVMRMT1pir9qP1fqal0c= 0a/u/WsOa68K1pVy3i0fyZpEeBqiaIq5nm5z1uZ7eZqn6+50zL6SNcyKtXm5i6fH8rZtnMv8AFu= v5NdqYmmKfldkT1Y555+52La28d87o1DW7OnbY0fXIzr1Gbk4l6zM27VcUxRFVPNcT3RHfM/c5X= Leuop9VVXb5zHzhuivTVTiI7uldI21ruzt15GhXcujL8FTRXRepo6nWpqjmPk8zxP3y69Hc7V0s= Zu4s/eV+/ujTLGnal4K3TVYsxxTTTFPyZ/aq831v1dS6JN1afs+rdF+5p04NONTkzFN6qa+pVET= HZ1e/tjzvqWtTTRao51UZn+7x12Zqrq9Ee0OgAPY86SEuy9H+ydY3vn5OFo1eLTdx7UXa/D3Jpj= jnjs4iWLl2i1TNVc4iG6KKq5imnu60P2d6ba1HaWv3dF1WbE5NqimqqbNc1U8VRzHbMR6X4zVFd= NymKqZzEs1UzTOJEq8ypV5m0QkJBABQBJIACFhJRZRRnZom7ciiPv8AsfqUxFNMUx2RHY4cK14O= 11pj5VTnYqlyqnMgDLIxnvZMZ7xYAGlAAElUkAAABkAFQAVWMhJIfCSIqSsAIglUsOGVU9qcszL= pEIKkwipwcKSQSACZABUnvRZ70CA4AVEmGTGqeIQYVT2sPOySYYlqEARUAjtngwZZW457XIkRxH= Bzx3ukRhMkosoqPoAdXAAGiUWUAACBJV9eiaXm61q+LpWnWpu5WTci3bpj0z559ER2zM+aIZqqi= mJqntDURMziHcOhLYte9N00+M0VRpOFMXMuru6/+jbifTV/VE/U2+tWrdm1TatUxRboiKaaaY4i= mI7oh1/o72rh7P2xjaNh/Kmj5d+757tyf2qv+UeiIiHYrlNU0TFM8Tx2TL8NxHWzqr2fiOz9NpN= PFi3j5+XgXwot60xTRsvAuc1VdW9n1R5o76Lf/wDKf93637/wTv3dZ/8Ata5/dWnUel3oks6Lt/= Vt3X9w5efmeEi7cpuWaaYrqrriJ7Yns/adu+Cb+7rP/wBrXP7q09t+bP8ADoi1Off3+rzWuZ1ea= /wdl6f/AN0euf8A0W/72hpy3F6f/wB0muR/8lv+9oadPof6f+xq+rycV+0j6Daj4LMV+TOvr89X= +ULvU+zq0f8APlq/p+Hl6jm2sLAx7uTk3qurbtW6Zqqqn7Ibo9Fm3Lm1th6Zo1+KPGLVua780zz= HhKqpqq7fPxM8c/Ucfu08mKPnJwqieZNXw+bpr6kdFm4ev3eKTx9vMcf08NN9I/xrh/6+j+1Da3= 4Smq2sDoszMeqvi7nXbdi3T56vlRXP9FMtUtI/xrh/6+j+1DHA6ZjTVz++zXEpib9MN1OkvW8vb= exdT1vAptV5OLaiq3F2JmiZmqI7YiY9PpeCYPwhN228u3XmabpF/HiqPCUUW66Kpjz8VdaeJ+vi= XtHTt+6XX4//AEKf7dLTXlw4No7OotVTcpz7uuv1Fy1ciKJbx41ek732Xbu1Wqb+nariczRVxPE= VR2xPoqpn+aYeC9COl720ncm6tJ2xe0SL+Feox8urUKbkxV1a7kUzR1Psq7/qeudAGNkYnRHodv= JoqorqouXaaZ/0a7tdVM/fExP3ut9C1dFzpV6SKqOOPHqI++K70T/S8NqqbVF63T7xH+Xprp9dV= uqe/wD8eI9MFjX73SZnY+s04l/V7k2aaqcCmubdUzbp6sUxV288cfe7BonQPvjUcSnIvzpunTV3= Wsm9V1+PTMUU1RH8/L0fRNLx874UOu5d+iK5wMK3dtRPmrm3bpif5pqfJ8InpF3HtjXMLRNAyac= PrY0ZF69FumqqrmqqIpjrRMRHyZ83n/n+nTrtRXy9PYxE4h4p01qn1XbucZdSn4PG8PWuh/m3f+= mw6GdG3noe/twaNt6/ok5+Ha8Fk15nhJtVRFcfsdWOe/08PSfg37p17dOjatf13UK825YyKKLc1= UU09WJp54+TEPzeiT9/e/Ptq/vIcLur1E03bV6Yn0x+H5w60WLUTRXbzGXQt3bN3fvbpfztH1HK= 0W3q9vBoyLldqblNiaIiiIiOYmrn5Uebh7zuHbObqPRZc2pZvY9OZVp1vFi5XM+D61NNMTPMRzx= 2eh4T066/rG3OmnUM/RM65hZNWHZtTXRETM0zTTMx2x6Yj+Z7VurV9SxOhS5rePmXLeoxpVq9F+= IiauvNNMzV6O+ZcdVzposTGMe2Pq3Y9EVXInv8tcd49GGubW1nRtLz83Trt7V73gbFVmuuaaaut= TTzVzTHZzVHdy7THweN4T/+LaH+bd/6bote4t57x3BpVq5n5Oo6nZvx4hHVp5ormYnmOIjz0xPb= 2dj3HE2f0212KK8jf+HYuT30RHW6v1c+DfT1Wo1Onppiq5TE/P7w8di1ZuzMxRMw803J0Gb20fT= q8614hqdNuOa7eJdqm5EeeYiqmOfsjmfqfvfBE/ys1r+Bp/tw9v6PdO3XpmlXsXdusY2rZHhetZ= vWqJpmKOI+TV2R5+f53mvQvYtY3TnvqxZoii3TVc4pjujm7y8FXELmo0923cmJx8x9XqjS0WrtF= dPtl5v8Jj97Wd/D2P7EPNHpfwmP3s538PY/sQ80foeG/wDi2/o+Vq/tqvqJV5lSrzPc86EhIIAK= AJJAAQsJLmwrPhLvWq/Zp73DxM1RER2y/Ux7cWrUU+fzkzhmqcOSUWUc3IAAYz3smM94sADSgAC= SqSAAAAyACoAKrGSe4knuRWKopCQMap4VjPektQhMAy2ncvIiC8dqSpKiAAAIMZ7xZ70FiQAUcV= c81M654jhxyzKgDOCEk4UGssWVuOO1IjmeHJDVMM1SANJCTCLKA+gB1cQAaJRZQAAIGy/wbtgxo= +lRunVLURqGbb/7tTVzzasz5+PTV3/Zx6Za36bk04efYy6sazkxarivwN6Jmivjt4q4mJmPveqf= 9oHedNMU0adoNMRHZxj3ez/9x8rilrU36OXZj2nu92juWrVXruNit367iba25m61mz/gsW1NXHn= rq7qaY+uZ4j72ts9Pe+pqmYp0uI57I8WmeP8A1PwukDpQ3JvXTLOm6pRg2Ma1d8L1cW3XR16oiY= jrc1TzEcy6O8/D+D00UTOopiZddVxCqur/AGpxDv8Au3pc3ZubQcjRdSjA8VyOr1/B2Jpq7Koqj= iefTEPYPgm/u7z/APatz+6stYHfOjzpS1/ZGi3dK0rD02/Zu5FWRVVkW65q600008fJqiOOKY8z= tr+HxVp+Xp6Yj3y56XVYveu7Pw251XTsHVcC7gali2srFu8eEtXaYqpq4nmOY+2Idfjo62LHExt= TSPvxqXhX/aF3l6r0L8m7/wBRJ+ELvH1ZoX5N3/qPiUcJ11PtT7fq+lVr9NV3/wCmxmj7f0LR5q= nStIwcGqqOKqrFimiZj0TMQ+nU8/D0zAu5ufk2sbGs09a5cu1RFNMfa1e1Hp731lWposRpWFP+l= Yxpmr/11VR/Q6JubdW4ty3Yua5q+Vm9Xtporq4opn6qY4iP5nW3wLUXKs3Zx/dividqmP5Idn6c= N/fHbcNNOF16dJweaMaKo4m5M/tXJ+3iOI80fXMujaR/jXD/ANfR/ah889yUzNNUTTMxMTzEv01= rT02bXKo7PjV3ZuXPXU3t3TomHuPQMrRc+q5GLlURTcm1VxVxExPZPb6Hn2J0DbEsZNu7XGpZFN= E8zbuZPyavqniIn+lrHGu63651H2mv9Sdd1uY4nWNQ4/ia/wBXw7fBtTaiaaLuIn6vpVcQs1zmq= jLb/pF3pomw9uVVVXLEZFNnweFhUTHWrmI4piI81MdnM+aPuh5f8EnIu5Oqbqyci5VcvXfF67ld= U9tVUzdmZn75eBXbly7XNy7cruVz31VTzLlw87NwpqnDzMjH6/HW8Fdmjnju547/ADvRRwaKNPV= bir+ar5c6tfM3YrmPaPh7vqu7MXaPwmdTzNQueDwcqzaxr9fHMURVbtzFX3TTHP1TLvnST0caH0= kU4eqWtUnHyLdrqWsnH6t23ctzPMcxz2988TE+fztWtAxLu491abp2XmXfCZ+Vax6r9czXVT1qo= p57Z7eOe76nvWJ0A3sSmacTfWfj0z5reP1f6rjx6yxb0tVExc9NcR+Dvp7tV6mqPRmmZd66Jdg2= 9g6fm4lvU69Q8bu03Jqqs+D6vEcccczy6Z0Sfv6359tX95DuWz9DwujXbOdd1jct/Ntzcm9cycu= vq9WIp4iimJmfRPd2zMtUtzbiydR3dq2t6ffycOM7KuXaYouTTV1JqmaYnifRw4aPT16uq7Hqzm= O/6uuou02Io9u3w7d8Jqf/ABZzf4ez/Yh77oWPg726GcLTreX1LWbpdvHruW+KptVxTETHHpiqO= 76mnWVkZGVem9k37t+5PfXcrmqr+eXLhZ2dhRPieZkY/Pf4K7VTz/NL69/hdVyxboirFVLwWtbF= FyqqY9qntej7PwuiXpT21k6rrlrLx87w9vw04/gqbNXU6tMz8qrvmqI57OHq/SVtHWt114VzRt4= 5uhU2KaorpsRM03eeOJnq1U9scT6e/wA3n09zc7NzerOZmZGTNHPV8Lcmvjn0cy5cfV9Wx7cWrG= p5tq3T3U0ZFVMR90S5XuF3rlVNya/5o/JujW26ImmKfafzbj9Ge1tX2thZljV9z5OvV37kV27l+= Kom3ERxxHWqqdB6If39b8/+qv8AvYa8TruueudR9qr/AFcFnUdQsZFzIs5+VbvXf/MuUXqoqq+2= YnmWKODXMV+quM1R+DVXEKc04p7PQvhMfvazv4ex/Yh5o5MnJyMq9N7Kv3b92Y4mu5XNVU/fLjf= a0tmbFmm3M5w+deucy5NX4iVeZUq8z0OaEhIIAKAJJADK1RNy5FEechX0YFrmrwtUdkdz7Uopim= mKYjiIZMTOXGZzKSiyiIAAMZ72TGe8WABpQABJVJAAAAZABUASVVCQkVioiJCVSxWe1GZagFRFy= EKiqEgggvCSNZABMJPeiygAJVJKsKu2eUZJLm2nCKAgcLTHM/UBTHHayU4dGEAFhJRZQR9ADo5A= A0SiygAAQJKpJCygCoAEkJPeE94EiKAk9yLPcgAAQJPcqSKytV127lNy3XVRXTMTTVTPExMeeJf= b/LOr+tc72iv9XwwMzRTV3giqY7ObMzMvLmmcrKv3+r3eFuTVx/O+dZRYpiOyzMz3SVjuSVjuaZ= AEEkJFgkAUEq8ypV5gQkJBABQBJIR+hhWupb69UfKq/oh8uJa8Ld7f2Y7ZfpMzLFU/CgMsJKLKA= AAMZ72TGe8WABpQABJVJAAAAZABUEmFFViSSSCMap8ysZ70lYQBGl8yLPciILxKMlViMphEVAAJ= RU4RYE4UBjPYwZ1T5mPDMtQgJwirwxXkMCM6Y4hKI5llMLTBKcqxOWmMrKEgpKcKCOYc3imX82u= fhk8Uy/m9z8Ms9Ra3R5OTc2y4RzeKZXze5+E8Uyvm9z8J1FrdHlrk3NsuGUc84mV82ufhTxPK+b= XPwnUWt0eU5NzbLhHN4nlfNrn4TxPK+bXPwnUWt0eVizc2y4Ulz+J5Xza5+FJw8v5td/CRqLW6P= K8m5tlwDn8Ty/m1z8MniWX82u/hleotbo8pybm1wDn8Ty/m138MnieX83u/hlOotbo8kWbm2Xzz= 3jmnCy/m138MnieX82u/hleotbo8nJubZcI5vE8v5td/DJ4nl/Nrv4ZOotbo8nJubXBPcjnnDy/= m138MniWX82u/gk6i1ujycm5tlwDn8Syvm138EniWX82u/gk6i1ujyRZubXAkvo8Syvm138EpOF= l/Nrv4JOotbo8rybm1wwOfxLK+bXfwSeJZXza7+CTqLW6PKcm5tl88o+icLL+bXfwSeJZfza7+C= TqLW6PK8m5tfNKx3ObxLL+a3fwSsYWX82u/gleptbo8pybm1wD6PEsv5td/BKeJZfza7+GU6m1u= jycm5tl88jnnCzPm178EniWZ81vfglY1NrdHlZs3NsuAc/iWX82vfhk8Sy/m178Er1FndHlOTc2= y4EnzPo8Sy/m178Ek4OZ82vfgk6izujycm5tl8w+jxHM+bXvwSTg5nza9+CTqLW6PJybm2XzD6P= Ecz5re/BKeI5nzW9+CTqLO6PK8m5tl869szxEczL9vTNobq1PG8Z07buqZdjrTT4S1jV1U8x3xz= EP0sLo+3rFc117U1mOO7nDr/RidXYj+uPJybmP+Mvxce1Fq3FPn88uV2H4i70+iuseyV/ovxE3p= 9FtY9kr/AEY6uxvjy5ci7tl10di+Iu9PotrHslf6HxE3p9FtY9kr/ROrsb48nIu7ZdclHY52JvT= 6Lax7JX+ifETen0V1j2Sv9Dq7G+PJyLu2XXR2L4ib0+iuseyV/ofETen0V1j2Sv8AQ6uxvjyci5= tl11j53ZfiJvT6K6z7JX+jH4h71+ius+yV/odXY3x5WLFzbLrg7H8RN6/RXWfZK/0PiJvX6K6z7= JX+jXV2N8eV5FzbLrg7H8RN6/RXWfZK/wBD4ib1+ius+yV/onV2N8eTkXNsuuI7J8RN6/RXWfZK= /wBE+Ie9forrPslf6L1djfHk5FzbLrg7H8Q96/RXWfY6/wBD4h71+ius+x1/onV2N8eTkXNsuuJ= y7J8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHk5FzbLrg7H8Q96/RXWfY6/0PiHvX6K6z7HX+h1dj= fHlORc2y64Ox/EPev0V1n2Ov8AQ+Ie9forrPslf6L1djfHk5FzbLrQ7J8Q96/RXWfY6/0Sdh71+= ius+yV/onV2N8eWuRc2y61PenDsnxD3r9FdY9kr/Q+Ie9forrHslf6HV2N8eTkXNsutTHZ2I7N8= Qt6fRXWPZK/0Sdh71+iuseyV/odVY3x5Xk3Nsut98I7J8Q96/RXWfZK/0T4hb1+ius+yV/odVY3= x5OTc2y64yh2H4hb1+ius+yV/ofEPev0V1j2Sv9DqrG+PJybm2XXkl2P4ib0+iuseyV/oTsTen0= V1j2Sv9DqrG+PJybm2XWx2P4h70+ius+yV/ofEPekf/lbWPZK/0Oqs748rybm2XXB2L4ib0+i2s= eyV/ofETen0V1j2Sv8AROqs748rFq5tl1ye9JniHZJ2JvT6K6x7JX+jjq2PvLnj4r6v7JX+h1Vn= dHleTc2y66OwfEfeP0Y1f2Sv9D4j7x+jGr+yV/ox1FrdHleTc2y6+xdi+JG8foxq/slf6J8R94/= RjV/ZK/0Ootbo8nKubXXk4dh+JG8foxq/slf6M6NibzqjrRtbV5j+Er/Q6i1ujycq5tl1+I4jgl= 2P4ib0+i2seyV/ok7E3p9FtY9kr/RrqbO6PJyrm2XW+xOHZPiJvX6K6x7JX+h8RN6fRXWPZK/0X= qbO6PKcm5tl1yCYdj+Im9PorrHslf6HxE3p9FtY9kr/AEOps7o8nJubZdbHY6tib0+iuseyV/on= xF3p9FdY9kr/AEOps7o8pybm2X6PAD8C/WgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD79= v6Vla5rWLpOHTzfybkUUzPdTHnqn6ojmZ+x8D3n4P20/ENKr3Hm25jJzKerjxPfTa/wBL7ap/oi= PSg9G25pGJoeiYulYVHVs49EUx6ap89U/XM8z979EiOBAAAAAAAAAAAAAAAAAAAAAAAAAcVc8yz= rniOzvcYJwjIBiLwgJMCgIkxyvADHjhO9mkwDHhGRwDDgZcJPcDivVdSjmO/wAz4/O5r1XXrmfN= HZDjmBWExDGaWcwA4+IThyTDGY4US3RNdcUx53300xTEUxHEQ48S31aetMdsudFYpLLhBEJXhBM= JwjJOBUlOIZSgNRAGkAAAAAADl+1tbFx9Qp1PT68eLmVcw6rmHVH7VNy3MVzEfbRFcfbw7PG29O= qysKIxaJtaPdm1rU01TPhOra8NVM+jmabtv/dp88g8+OXctH0zS8/B03WrmNTRj4l3I/lK1RMxE= 00R4W3H1daJ8H/ux5zWNP0rS8bUNWoxaLuPlZdidNtXJnjwVVMXq/t4iaKJ+2QdNHoVe2NPs39Q= sXMejjVbtVGi1TVPyafBeGpmPTz17VH31eh1nc2HaxKMLDx8Oqi9i4VurOucT23bny+30cRVRT9= sA/Dct+xXZtWrlVdqqLtPWpii7TVMRzMcVRE80z2d08T53bNcr0jQ8qNCo23j5seL26qsu7cuRe= u1V24q69E01dWKYmeyOrPZHa59O0HTM7L2xau0UWreRpt7JyO2qJvVW670xE9WJntiimPkxzx3R= yDo47nuCjbuVoGVkY06RayseqjwP8m2sziqJniabk3aer3czE8xPZL9CbG36922tq29vYtFrJot= 0VZc3Lk3qLldqKutT8rqxETPdxPPH1oPPHLTYrnFqyYrtdSmuKJpm5TFfMxM9lPPMx2d/HDsmLG= naNtfT9Tu6NjapkZ927FVWVNfg7NNuYp6sRRVHyp55mZn0cQ4rmLh5e2NSzsbTYxrs6pYt2bfXm= ubdFVFyepEz2zHMR39vZCjrZ//ALveh5ek6VXpuqadXjaFZzcDDru8Yd3IuZFuu3x1uvXMTant5= iY5757H5moXNK0W7i6RG2cbUPCY1m5cyrly5F6/NyiKubU01RTTETV1Y7J/Z7fOg/A1XSbun6jn= 4dV6xXOFX1a6puRTNfbx8mmZ5n7I5fnO77ixMa/rO9712x1rmNMVWZrj5VEzfopn7+JmHz6jc0r= RqsTSPi1j5/hcazcuZNdy7F69NyiKubUxPFMRNXEfJnu7QdVosV141zIiq1FFuaYmJuUxVPPPdT= M8zHZ2zEdjG7buWa+pdt126+Inq1RxPExzH88TEu5a1p+nadc3Jes6faqjT9VsUWbV6KpiKObnN= E8TzxPViJ7eezvfRr1yjWt5YuJRomk26LOLZyL1XhLlqmq3GNRXPhKpqniimO7jieI75lR0S1T4= S7TbieOtVFPP2vs3Bptej65naXcu03q8W/VamumniKppnjnh2jcmHpdzRcPVcG3pVF2jUIxq503= w8WqomnrcT4aP2o476eztfl9I1q7O+NfvRbrm1TqF2ma+rPViZqniOfT2T/Mg66cw7xqEaNo+uW= NufFrHz7dUWabmTcruRfvTcppnrUTTVFMR8rsjie6OUu4Gk7ewtduXtOx9WvYOrxh49V+qqKOrx= c5mqKZjn9mOznv+xR0gdy1W5pOheJafO3MTUJycW1k3ci7cuxXXN2mKuLXVqiKYp56sTxPbHa/I= 3zh42n7sz8PDsVY9i1XEUW6u+mOrE8T9YPxAAAAAAAIiapiKYmap7ojzg7P0Z7Xubq3RZwqomMO= 1/hcqvjuoif2ftqns/p8zaaxat2LVFq1RTRbopimimmOIpiO6Ih1Dom2rG19sW7d+iIz8ri7lT5= 4njso/3Y/pmXcmQAAAAAAAAAAAAAAAAAAAAAAAAJEq5nsBhM8zyizCAnHApwCBMAJMIyAYizCAg= pwCJwoDFxX6urTxHfLmmYiOZfLXM1VTIsOLhJhnwgrCYSYZzCcA42Vqjr1xHm86zD6LNHVo+ue2= RJZ+bgAQAFSYRkTAMeEZIIgvCA1CAaAAAAAAH06ZnZemahY1DBvTZybFcV264iJ4n7J7J+9z2Na= 1Wzb1C3azblNOpRxlxxE+Fjnrdv3893pmPPL88B9mJqediadmafj5E28bNiiMi31Ynr9Weae3jm= OJ57jN1PPzcHCwsrIm5j4VNVGPRMRHUiqeZjsjme30vjAfoX9b1a9Vp1VzNuVTptNNOHzEf4KIn= rRx6e30+iI7ohlk65q2RVqU3s2uqNTqivMjiIi7MVdaOeI7OJ9HH8z80B+zjbp3Bj4EYVnUq6bV= NE26Jmimblumf82muY61Mds9kTD469W1KqcGrxuumrAo6mLVRxTVajrTV2THE99Uzz39r4gH6us= bh1nVrMWc7M69qKuvNFFui3FVX+lVFMR1qvrnmXDTrGpU6zb1inJ4zrc0zRd6lPZNMRTT2ccd0R= 5nwAP09H1/V9Js12MHL6lmuetVauW6blHW7ut1a4mIn64jlx5WsanlWsi1k5ly9Tk36ci9NfE1V= 3KYmIq63fHEVT2cvgAfuZO7dw5Niuxe1GaqLlubd3i1RE3aZiYnrzFPNc8T31czHmYYO6NfwsGj= DxtRqptW4mLczbpqrtR6KK5iaqP92YfjAPvv6zqd+5n3LuT1q9Q48amaKf8ACcVRVHm7O2Ins4d= q0TOro0nEt0b6x8TGooiK7d7EqnJx/wDSptVRRVMR38cVU/ZHa6MA/Y1/XcjUNQ1auxVVbxNQy/= GJtVUxM9k1dTme/mIqnuSNya3FWDXTm9W5gUdTHri3RFVNPHV6s1cc1Rx2cVcxx2PyAH6up7h1j= UrUWszLiu1Tcpu026bVFFFFVPPE000xER+1PZHf5+XHn65q2dby7eVmVXKMzJjKv09WmIruxEx1= uIjs757uIfnAP2sPde4cTDpxMfUq6bdFPUt1TbpquW6fRRXMdamPqiYfmxnZcadc0+Lv/drl2m9= XRxHbXETETz391U9j5wHd9v51y3o+Nas73xcKxRH+Es5OJVVex557fAzFFX2xxVT2+h1zdmpWtY= 3JnalYpuU2b92arcXP2urxERz9fEdr8sAAAAAAAel9A2051fXp1vMtz4np9UTb5jsuXu+I/wB3v= +3h5/o+n5WrapjabhW5uZGRciiiIj0+efqjvmfREtr9paJjbd0HE0nEj5Fijiqvjia6v86qftlJ= H60RxACAAAAAAAAAAAAAAAAAAAAAAAABLGFn0AITCgjCYRmkwKxOFnsQEFJgESYUBOEZJwCJwqV= TERMyDhvzPHVj73C5J5meZ70mIkWGEpMMpiUFY8Jwz4SY8wFmjrV8z3Q+hLdPVpiPP52QyicLMA= MRknAIAAnCgqIyOAa3+TPfHqK5+db948me+PUVz8637zaAXKNX/Jnvj1Fc/Ot+8eTPfHqK5+db9= 5tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/ACZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPf= HqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me= +PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav8Akz3x6iufnW/ePJnvj1Fc/Ot+82= gDI1f8me+PUVz8637x5M98eorn51v3m0AZGr/kz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8AJnvj1= Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfH= qK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGR= q/wCTPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+= db948me9/UVz8637zaAMjyroT2Hl6FdydY1zGiznTzax7c1RVNFP8AnVdnZzPd9kT6XqpxHogQA= AAAAAAAAAAAAAAAAAAAAAAAAAEmFBEADIAGE4SYZAZYIzmEmBWKcMkBBU4AcN6fldWO5yV1cRy4= e8GKTDLhBWKTHLNOAYcSzs08zz6CI5nhzU08RxAJwKCMTheAGIpwDHhJZAMRZhAAAfoAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgpwJ7oEwAAAnD= GYZgMEZTDC52QK4655q+qGEwzlAYDKYSYBjMehGREczwC2qe3nj7HIccAInDIBiLwnAJwjIBicL= wgIKkwCcHCgPuAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAOAEwkwKSCAgo4qp608s657OHHwJhJSWRwKx4RlwnAMeGVuniOfSRHayAOABBU4AAB= JhGQDEXhASUZJMAnBwqA+0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAABJ445VjX2iYYTzyjJOBWPBwoDEmF4POBTCgCcIyAYi8IAnCgIKnAC= KAnCMkQQ4ZU0zVVEQ5vB0ehRmAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAABMseFnvBGMwkwzSYDLBJhnMJwKxWIAE4FAQJAE4UBOEZJwCC8I= BwigIkspgopmqrjzA5LNPEcz3y5OfqAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJVJAAAAEwJMKAxmE4ZpwKwFmAEOABOOBTgEAASYUBiMk= mARzW6eI+1x245q+qHNAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAgnHCn3ggqcCgAAAgnCgMOEZpMCsRZhACYAEFSYABlbjmeQZ0xxCg= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAJg4SVAQAXIAGAATCJMMgMsOEZ8JMCsRZQDjlyUxxHEJRHnZAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACJMCgIHC= CqAAAInCcdrIgFAFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAO04ARBUDIAKR2qQAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHHaAmAA= UAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAmU5fkbu3Hpe1= 9LjU9YvV2cTwlNublNE19WZ7uYjt4YbZ3PoW5sa5f0LU7ObTa4i5FHMVUc88cxMRMd09/oa5dfp= 9WPZiblMVenPu/a5OWq1vpe3roOu5+PGfb1DGt5VyKbWXR1uIiueyKo4q7vrbI7M1ivX9radrNe= PGPVmY9N2bcVdaKZnzc+d6dVobumiKqu0vNptbb1EzTT3h+z5uSJ5dO6Yd31bI2Hm63Zooryomm= zi0V/szdqniOfTERzPHn4eDbL0bpw6QdMr3HibvvYWLeuTFqq/m3LNN3iZiZoot0zEUxMTHdH1P= I9jarkeG5WD0j7J6MLtOq9IGlYesXdXpqt6hm3671qLE2uPBc3LVUxVNVMzx1fv8z07B3Fp+kbJ= 0nVNzbg06nwuHZm7m1XIotZFybcTNVHMRzFU8zEREdnmgHZB1XTekXY+pVZFOBuXAyJxsevJvRR= XM9S1RHNVc9ndEPmp6VejqqqKY3fpfMzx23Jj/kDuY+LK1fS8XSf5WydRxLWn+Di541Xdpi11Z7= qutzxxPMPwNN6SNi6nqFjTsDc+n5GXfri3atUVzM11T3RHYDtg8p6LN1alas7l1DeG/ND1jBwq7= c0V4nERiUzVXExc4tUds/Jj/O7pdlsdKXR5evUWqN36V1q54jrXurH889kA7iJTVTXTFVMxVTMc= xMd0qAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAADy/wCE5+7G5/F2v+bqXwR+7c3/AA3/ALrtvwnP3Y3P4u1/XLqXwRv2dzf8L/7= r7Vr7sq+v+HxLv3jT9Hie5P8AKHUv4u7/AG5be9EP7sdv/wADR/U1C3J/lFqX8Xd/ty296If3Zb= f/AIGj+p6uNfYW/wB/Dz8H+3ufv5dD+GBjX7/Rfi3bVM1UY+qWrl3jzUzbuUxP4qoj73Yvg46jg= 53RFotvEv267mLbqs37dNUTVbriursqjzc9/wBku5bm0TT9x6Fl6LqtiL2Hl25ouU88THniYnzT= E8TE+mHgWb8GOvxu7Vp28PB48zzRTew5muI9EzFcRP28R9kPzb9G7V8MCf8Awtxv9q2v7u68d6U= MvJzNf2Fpl/TsnVMTH29p82sC1VVE5M1URNUR1YmeZ4insjn5L1ijoLyqejC9s6rc1mq7c1enUI= yZxZ4iItdTqdXrffzz9z9je3Q1i7k0Lb1q1rN7Tta0TBs4lrOtW+YrptxHHNPWiY7YmYmKuznzi= vP9sY2NOi7xrp6KMzaVdvbGfNObeuZExXPUiPB/4SIjmYmZ9PyX42wdibY1b4PmvbozdPmvV8SM= mbORF2uJp6lFM09kTxPb9T1HQeineGLa1bH1jpFzNWxtQ0vJwabN6m5VTRVdo6sXOJrmJ47X6u0= +jK/oXRJquxatYt37mfF+IyosTTFHhKYj9nrdvHHpEa769m5eR0NbD0i7l3KMK/qGb4Tmrsjq3K= Ip/m8JXx9rZTbnQ/sHRM7C1LT9GqpzMOqm5avVZFyqrrR3VTHW45+516joP0/J6LsTZ+p6rNzKw= si7kY2fZs9WaJrntiaJmeae7mOY7o7YfPszoh3hoGv6Zm3ekjPzMDCvUVThzF2mi5RT/mcTcmIj= j6uAeadE2p6JpG0OkrL3Fg1ahp/hseivFprmnw1U3LvVp5ieYjrcdvoj7nXN3VafnbOu52n9EWZ= odiuKLlrVqb+RctUUzVEd9VPVmKu7v75h7hoHQZbxNu7o0XUtc8Yt65ctXbdyzj9SrHrt1VVUzx= NU9btqj0d0+l+Fe6BN23dH/kW50l5NemRTFEYlVi5NrqxMTEdXwnHETEcfYD0noAy8jN6H9u5GV= dqu3IxqrfWq7+rRcqopj7qaYj7ne3XOjPbde0Nkadty5l05dWFTXTN6mjqRX1q6qu7meP2uHYwA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAeX/Cc/djc/i7X9cupfBH/AGdzf8L/AO67b8Jz92Nz+Ltf1y6l8Ef9nc3/AA3/ALr7Vr= 7sq+v+HxL33lT9Hie5P8otS/i7v9uW3vRD+7Hb/wDA0f1NQtyf5Q6l/F3f7ctvOiGf/DHb38DR/= U9XGvsLf7+Hn4P9vc/fy7NnV1W8DIuUTxVTaqmJ9ExDVLYm6OnPe3js7d12rIjCqoi914x7fV6/= W6v7VMc/sy2r1P8AxZlf6mv+zLX34Fn/AJW7P9Zi/wBV5+bfo4fNsTpR37t3pKs7Q6RqvC05N2i= xVNy3RFdmqv8AYrpqojiqiZmOe/7uJeoba1nduT0raxpeoZej16FZornFtWL9qrJpmJp469EVda= I7Z74jzPFfhN128zp10jGwZivJoxsWzXFM9sXJvVzEfbxVT/PD7sXUcnSOnLpL1PDq6uTi6TmXb= VXHPFcRb4nj6pBsVnbk2/p+TVjZ+u6Xi3qe+3ey6KKo+2Jnl1rpG3RmfE69n7G1nQr+ZayLdFV2= 9mWvA0xPPMTVNUUxPojl4r0KdFW3977JzN0biy9QyM25lXojwd+Kf2YieapmJmapmZnnn0OmaHE= R8H/c9Md0a3iR/wCmoHs/TdvzXdv9F+3snA17Dxdx5FePVmU4tdq51qarNc11Ux2xNE1xHFUdnd= 2vS9qbq0jM2liajka7p1ybWJYqzbvjNHFquumP25ieKZmrmO3jta9dN+29Lt9C+yN1027n8qXMP= Awaq+vPV8F4tXXx1e7nmO93bL2z0d7G6FcnM1TEzq8PW8bCqy7Nq/M3L92ni5RTRM9lPbNUz9UT= 9gPXMfde2Mm/RYxtxaReu1zxTRRmW6qqp9ERE9rzLpX3duLSOmnZ+habqdzH03Pmz4zYiimYuda= 9NM8zMcx2dnZLwLeU7Mu7fjJ27s3cek3+vTVby8nIm5Zqp9Hd5+Y4mJ9DvWtZuVqO/uh/Nzb1V/= Iu4GFNy5VPNVc+GmOZnzzPpBtTAQAAAAAAAD8PfG4MbbW28rVL/wAqqinq2aP9O5P7Mf8AOfqiX= gHlU33zP/xqI+rxWz7gNmxrJ5VN9+u49ks+4eVTffruPZLPuLgbNjWTyqb79dx7JZ9w8qm+/Xce= yWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTf= fruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU336= 7j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTy= qb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm= +/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsa= yeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuH= lU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgb= NjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ= 9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfc= MDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruP= ZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2S= z7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79= dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/Xc= eyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNgIAAAAPL/hOfuxufxdr+uXSfgp52FiVbioys= zHsVXZxvBxduxTNXHheeOe/vh7zq+mafq2L4pqeFj5mP1oqm3eoiqnmO6eJfkVbE2ZMdu19In/A= ISj9Hvt6ymnTTYmO85y+dd0lVWpi9E9vhrruLok31d1LNzsTSrWXYu37lymbWVb5mmapmOyZh6F= 0e9It3auiYW3t57c1TR7WHbps282rHrm3VEeers7Pu5ek2NlbYxuZw9IsYcz3zi1VWZ/nomJc8b= dtW4mnG1LU7duqOKrdzInIoqj0cXet2fZw6XuIc+iKLsZiP0Ys6CbNc125xMvtsZeJrGj13tOy7= GTZv2qot3bdcVUzzHHfDWvTPg/9JGmzd/k3dmmYXhJia/F8zIt9bjnjnq0RzxzP873jE2dj6ZkX= M3Rb9Om5NUzM02LfVsXezs8Ja56sz/81PVn63Z8abk2om7TTTc4+VFM8xz9T51WM+z6VE1Y93h3= RZ0E39A3RZ3LurWLWpZuPc8LZs2Yqqo8J5q6q6+2qY74jiO2Inme5+3onRdnWeljc259Uv4ORpG= tY17H8Woqr8L1bnU5ir5MRHZTPdPnetJMcstNVq9nZ+1bmda2X0y6BjaZc5uV2bupRbrniJ7Jpp= 60TPHZzHHPofN0PbM1Pe/Q9uLR9Ov41i7d1excpu5E1RRPUo5qj5MTPPyo8z2SvoG6Na7lVyrRs= iaqp5n/AL7e7/xO97b0DSNt6Ta0nRMG1hYdrnq26OZ5nzzMz2zP1zMyK6HvXozydzdD2jbNuZ9j= H1DS7ONNF6Imq1VdtWptzE9kT1Ziqrt457ux1ux0R7y1Xo+z9r7t3VjZUW6sevSK7XWuU4824rp= mmrmmmZiYqpjvmY4+rt7rujU83P3nZ0rCuX7GNptrwmfNNVdEVTdpmLcxNMTz1erNXFUxEzMejs= 65rd/eutZ1i9GHrODHgZt0049FVvwXhOrz1p5+XVT16O2eI5t3PNPLtRYmr5eeq/jtDquq9EfTB= qm3adu5+9tIyNLt00UU49ddziIo46kcxa57OI879+50Sa/Xruws/wAf0zwe3MbHs5Udevm5Nu5N= UzR8ntjifPw7Bcyt5YOhYFjBwL1zxm1NNyK4u1XLHWimmOZqmaoqpmvv7qot1TERzD6NG1HdOu6= 1gWNS0vK0/CouU5VdUW6rfbFuKvBVVTPyoiq5THPEczbq7OJ7HJnGcrzo7YeiUqlKuLsAAAAJVP= CuidM27I25tmbGLd6uo5vNux1Z4qt0/wCdX90dkfXMegHlXTduyNwbknT8S51sDT5mimY7q7ndV= V/RxH2c+d5+faKACgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAADdABkAAAADgAODgAOCIiO4AAAAAfLXp2Bczac65hY9WVTTFNN6bUTXERPPEVd/D6er= T6FBMJ1Y9BFMQoKAAAAATPAOLMyLGLi3cnIuU27Vqia66qp7KaYjmZaqdIG5L26dzZGp1zVFjnq= Y1uf8AMtx3R9s98/XL0/4Qe6/A41G18K5/hL0RczJj/No76aPv75+qI9LxBYABQAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABugAyAAAAAAAAAAAAA= AAAAAAAAADG5+yANXemD94+sf62n+xS6mCgAoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//9k=3D" width=3D"793" height=3D"1121" alt= =3D"" style=3D"margin-left:-1pt; position:absolute" /><img src=3D"data= :image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEB= AQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQH/wAARCAAbAE0DASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAABwUGCAkKAgT/xAApE= AABBAMAAQQCAgIDAAAAAAAFAwQGBwECCAkREhMUABUKFiEiGCUy/8QAFwEAAwEAAAAAAAAAAAAA= AAAAAAECA//EACkRAQACAAYBAwMFAQAAAAAAAAECEQASITFBUQNxkfATImEygaHB8dH/2gAMAwE= AAhEDEQA/ALAbx6gFUHCruua3rKsFMMDvK/BjZu2mcwdmDZDW+LBBRGGRYS3M6bOyDrRuPBR8Mx= TTQatUEUk9Go5nvujzW3N/m+6DizK0o6FqbmeLnGqRiK1tedm26ftJ0HdJ4cMNZg3jZduPhxR03= 3S3cDFMvXg7ffZF4gi4TUQ1DjUFHp95X/HtX1jtGj+vMdg+QCyRAYpjTcPIbgrE/dUprRB6grn4= FnkcMMk5QE13122/asENE9d9lM6ZcD3yLdzI0R2hNAl83CT7Urt/ZDeV8go8yOCkS5trYN0fXsL= 2s8JJW8FS+6+iVIF5XN443LyCQNp+mOeGmjF21EKI75QhG5S1Va1V6/c29TGEPGOaaqynLmVVZ0= n5DeivTHcTv/oqsb6R5H7biswo6/zAR/JqzMArSmcgqO9I6I2/7l9WUpWKtt1ioVPbRcvGSCSRh= mh7190fj11yoSWJnproe4bApHmWTvI8ypSLBZX0HfVjy+ekINWmZQyfFYrBQQNjJWDmY2KcCMFp= AuLw/Yj4+Eci3pV3osWHN1mF5GZrA7Y8aNMXvGulpv1VN6i8idFo863tPapzVUrLE5OeZx2YQmO= qpxeHpS6OrRAhJ3hMoNE5HkHUc0YPfsPY5ndB78/T6q4QO8jXAnQBpKuMd1OJVcHPFklXbIKIs0= zJaNhVYyylxUkKbIimtiRArWwwuCjT9ym5PBZfs5EJqrNXSP4EIxnu/cLlWyzLw+51V+k/SieWm= 0lBlWaVWINFrrduv8XgftJJ1jV1HVv1jM7KK3NyzOZElFJjJGidg1PbVEE3koViI0xY0FdziRMl= Yo8K/RWXfJP2bwWFLhzLhtuye/Lp4Zl0nI5b0Xjk+sOi67qGaBq2dW9Zln37c8hDRWBwJogs9xk= PH1pgJfTGSKjGrs45HNXrVsGjzfcyTX0bKoZ3APKsIiPEfgmeePSS5Jp9w972bcZUnz2SeiSk4r= lmYsJhVyNlyEKIcO14pXounKlhk+SOG9m6T82a2RGLrOHCLNKQEAhXKzqy+v8AmbsOrqIlqnW4q= t57yjL+icaAa4K27X1QDKoJVgpZSOiJuEyfdyAFycQmDKMCxYWXL6CcPXbdZv8AhljnC6qN5RDk= D8/7d4bCB5IRuhtY5mmq4sdSzfbCGPuO44dSy/W4XqSOdh8fxmfK17c9h1i9sWBz2jHO0n/q7Sd= yOJuZiabG63cOXIo8qTaKtSDWEGB0ty2WH7OstyXOLWuKVTKa11T1hsYKIp6t07h6S6LuGxZ3pU= 9BVw51eKBnBFgOkCL+Uy6TpCyboJH2jlsjoOYOHzt1jZRk2dxFuvPcPOXJ9wcqZ6Fqo4968aTzm= ioPHdI5Nv0TYcBqGVR4hUhu3x12JZZy6PxCFi/t2XGSVgJEhI6JtI4D2cInd8M2xUBs4PXAHsnj= W3Fa70U7RgNGlucZbeshMwqoLJtujGIRq7o2cT8SQFbxM0fzFhRuItXxRFscWIk09ESe7RYU/pi= ZxXcdO6y+9b/5gfH4zyRjdXGX25nVMtCK8Mni67MeOM9GWI3gkxvSuevYx2vR1Rrx9XohjBGVzU= zdlHxOULKIjLWVgM2O4cS2tNMprOnZVog2zqIbuSLN07+i7R10HeLWVGpMn0u1eSo/IwY6wK9fR= z9wfJyBJk2PVXHXbvIpwYdPlWrIhugi+2bNlE2m7lRd5hHDh04VVoL6GmthjrX6E6Cv2CVXTF59= F8AN/HFzHxTVNsxa47Cswkdlw6SnbqmOYcq5YgK6r9qL1RZHjCnwiophdu9eNyWGg97dz4co+tE= 490FFnK/2nEbNUkBXc+u2cOFxFKxwestrnbGNs6qqN9t9c5xjOdc49cev4yo+SKB+mWxVbb12aG= nBi4wgebxxrRjNYqpplRpdxd8YfLn8j7Cddx9D8v29KRnOz6hO4b8kfLPUcc0dfs6pt6HdDT4jG= y01TWV2bLRQ5ursHkGc4SHJs1vcV1wOwuu31HVX51OrYRChQK+vHVP7qm2g9m3Y2/ypOIJKams7= OqOmjWTN9Cb5uTiTQtrjV2okRw4bMsLb6Jb7I667Zx8d28w0aZ7f7IMEoP8AYIleqehCRBxiSy9= D7D19bcudOl/hbn0kEsquFVFPjRSTS093tT000xrrgZxSFMYAJ3AweR2dEAm+m+mREbuO2gw3Gu= +ce/2MR81QbJ529c+uyaeu2fXP+fxhW2h13t3eKp3jVNNN6e3Zv+e8XG+VDyg2VLJXAL769GQyt= lqaIPpVyF4+4zLh01Oa2a7HOBjG8egzwPfA9vvFxzp6lHGDVPVBsu9dNhqi7h0R11hBzj5KeufJ= O9sWn1Kh5OKB4dCmE7NCrXjsvPAiiT2ewyuhDFiPFi5KvkqtI5yFxo6UZoIMmmrt2q8SwjjXeAZ= fmelz5B0XOxUiaKvVdlnhMtN58RIO1tv/AEq5ePJQs4XU29Meu6qm22fT/Ofwl0/AYzRBY6cqJE= vBS0kCpRw29ESmU7KkAyRoVI27RXD0y7T02ZyAAENMXSOiTxgUFMXzNwg5bpqajEUUFNn5898GS= K5pBKXb1pxtxg82F3r0B4843AZZG6E4fizS/GDyRQzepB7/AAamMIDNxjF9MCmG6LMkOBDZ3tKa= q3YSDdkUTsOs7FD6CsJRvd85enP3ks7b8kGLCqePUFyzPUYtHBUmMwuxGBR63PjnskGR5XUGLea= kUipQQkRWPOWaOmj79KLKOGOrhyho2VhXMaSrifN4k0mYkxJW8Fj5CLRBMtNJu6wAjxWay6xiQp= htvI/fo1fTmeTGUOdd9t91S8iJudt85X9NV2rawiNMF8yKqdJJADuXgF/+3jE6nQx/h5GTjORgX= GrlCSYV1UFnB7Mk1zrtj2uW+mdsba+7XM5IXeUvv56YX0vHd5I2c1rx/wAMSGsLvK7PHu2RUjlJ= 8PRGeHcif7fC6wikxHTAGIkYnSSwwgfOLR8WDKDpJHV2RtmzDyQquLSetUCrNg9wogi4OffK71p= 5AJHKqKWqrlR8xRhD+Yv4/ZwaSn2EqQHHY6CRj0aiTBnITEvlaz6SsyDYIEDviqQQaeON0FEwy+= uY6WHG2VsRYDCbHISqYxWNkHhIMGNTeZuG7R883Wyo4331P6OHe6WrhdFlh6s51GtllGo/Vq23y= llCqisIZSZ97J6sYk4abJiVQBJ4NlEqW1IB1iA0v9B60fmnjJ0igYDhzLLK7ZTdgZECy7HduRHM= 3KLyR00NNTDfHBczEs0Hn5pg6T7ubp3x5x+qLAZ8gcm1mn0FGjhYUQhMLNBjaGI0WQYkYrJ13TM= WSYlUGD2OSNQFsptq2ESEGq8SbPt1WrfXr/Fu67nvbvPHWd12GHj8dkX/ACIARHZhGk3Wo3LIDU= kNWar41drKrYXUySVwr/v7c4109uMemfXFvacXZ3SNbjLaMTexB7A44kg9nLbGsA0gNNvhYwG+I= DU3kmUwOVfCw4tq+0ZfAi8+g2WcpKuEtVfzZ5/FUraF1lyF0YLhAbIRiR6Ry/eIYJFiXzO8VjBm= +FflLP36yfoiknp8aSmiX+vu9nvzttkyR3ovDIRi5gpqr5r+sf/Z" width=3D"77" height= =3D"27" alt=3D"" style=3D"margin-left:441.05pt; position:absolute" /></span= ><svg font-family=3D"Times New Roman" font-size=3D"16" height=3D"41.3= 3" version=3D"1.1" width=3D"209.31" xmlns=3D"http://www.w3.org/2000/svg" st= yle=3D"width:209.31px; height:41.33px; font-family:'Times New Roman'; font-= size:16px" xmlns:xlink=3D"http://www.w3.org/1999/xlink"><defs /><g><g><path= d=3D"M0,0 L209,0 L209,0 L209,41 L209,41 L0,41 Z" fill=3D"#7c7c7c" fill-rul= e=3D"evenodd" /></g></g></svg><a href=3D"http= ://www.anatomiadigital.org/" style=3D"text-decoration:none">www.anatomiadigital.org</= a>ISS= N: 2697-3391Vol. 8 No. 2.1,</span= > </s= pan>pp. 19 =E2=80=93 33, ab= ril - <spa= n class=3D"awspan" style=3D"color:#ffffff">mayo 2025 Revista en ciencias m=C3=A9dicas, salud p= =C3=BAblica Art=C3=ADculo de revisi=C3=B3n bibliogr=C3=A1fica.<p= class=3D"awdiv">ac=C3=BAsticas po= r <sp= an class=3D"awspan">productos de distor= si=C3=B3n </= span>(DpOAE) en los = 380 pacientes du= rante </span= >la evaluaci=C3=B3n inicial,</span= > encontr=C3=A1ndose resultados normales </s= pan>en 369 pacient= es <sp= an class=3D"awspan">(97%) para el<= span class=3D"awspan" style=3D"letter-spacing:0.45pt"> o=C3=ADdo derecho y en= 362 pacientes (95,2%)<= span class=3D"awspan" style=3D"letter-spacing:0.25pt"> para el o=C3=ADdo<span= class=3D"awspan" style=3D"letter-spacing:0.25pt"> izquierdo. Se remiti=C3=B3<s= pan class=3D"awspan" style=3D"letter-spacing:0.25pt"> a </= span>11 pacientes = (2,8%) </span= >con alteraciones en el = o=C3=ADdo derecho = y <spa= n class=3D"awspan">a 18 pacientes<= span class=3D"awspan" style=3D"letter-spacing:2.15pt"> (4,7%) con alteraciones</spa= n> en el o=C3=ADdo izquierdo. (= 1).Clifford<spa= n class=3D"awspan" style=3D"letter-spacing:-0.45pt"> y </= span>Ryan (16), en <s= pan class=3D"awspan">su art=C3=ADculo de <= span class=3D"awspan">investigaci=C3=B3n realizado= en el a=C3=B1o 2022, = recopilaron varios datos</sp= an> de una muestra de </spa= n>758.005 veteranos pertenecientes al Programa Million Veteran durante los<s= pan class=3D"awspan" style=3D"letter-spacing:1.35pt"> a=C3=B1os 2011 =E2=80=93<= span class=3D"awspan" style=3D"letter-spacing:1.35pt"> 2020; los datos<span= class=3D"awspan" style=3D"letter-spacing:1.35pt"> fueron = estratificados en:<sp= an class=3D"awspan" style=3D"letter-spacing:1.35pt"> registros de salud, cuestionarios,= audiogramas y datos= militares; posteriormente, se</= span> calcularon los riesgos relat= ivos <s= pan class=3D"awspan">acordes al sexo,</span= > p=C3=A9rdida auditiva y<= span class=3D"awspan" style=3D"letter-spacing:0.9pt"> exposiciones militares, entre</spa= n> ellas: combate, explosi=C3=B3n y </span= >era militar; a<= /span> <span= class=3D"awspan">continuaci=C3=B3n, se compararon = los datos del = audiograma, el cual, fue </span= >estratificado acorde al </span= >sexo para aquello= s <spa= n class=3D"awspan">pacientes con y= sin presencia de tinnitus;</s= pan> finalmente, se evalu=C3=B3</s= pan> un modelo de riesgos </spa= n>para determinar e= l <span= class=3D"awspan">lapso de tiempo entre la = aparici=C3=B3n del tinnitus y la hipoacusia. (16).El tinnitus = estuvo </span= >presente en el</s= pan> 37,5% de la muestra, <= /span>con una edad= <span= class=3D"awspan">media de aparici=C3=B3n= de <s= pan class=3D"awspan">61,5; las mujeres</s= pan> (0,64 a 0,65)<span= class=3D"awspan" style=3D"letter-spacing:0.95pt"> y, </sp= an>aquellos veteranos de </span= >ascendencia africana ten=C3=ADan menos probabilidades de= <spa= n class=3D"awspan">manifestar tinnitus = (0,60 = a 0,61). Por</sp= an> otro lado, el<span= class=3D"awspan" style=3D"letter-spacing:-0.5pt"> riesgo = relativo m=C3=A1s alto</span= > fue la lesi=C3=B3n<s= pan class=3D"awspan" style=3D"letter-spacing:-0.15pt"> cerebral traum=C3=A1tica (1= ,71 <s= pan class=3D"awspan">a 1,73), seguida</sp= an> de la exposici=C3=B3n</span= > diaria al ruido en<spa= n class=3D"awspan" style=3D"letter-spacing:1.35pt"> el </s= pan>campo de batal= la <sp= an class=3D"awspan">(1,14 a 1,17).= La tasa de = p=C3=A9rdida = auditiva posterior<= span class=3D"awspan" style=3D"letter-spacing:1.35pt"> a= un cuadro de tinnitus <= /span>fue cercana = al <sp= an class=3D"awspan">100%, sin embargo,</s= pan> solo el 50% de </span= >las personas que = tuvieron </spa= n>una p=C3=A9rdida a= uditiva </span= >inicial ten=C3=ADan riesgo </span= >de sufrir un= cuadro de sordera m=C3=A1s adelante. (16).El </span= >art=C3=ADculo original publicado = por Kumar e= t <span= class=3D"awspan">al. (17) comenz=C3=B3</sp= an> con 83 pacientes, pero termino con 79 p= or <spa= n class=3D"awspan">criterios de inclusi=C3= =B3n <s= pan class=3D"awspan">y exclusi=C3=B3n, los<= /span> pacientes eran j=C3=B3venes= , revelando </= span>la prevalencia de <s= pan class=3D"awspan">fracturas del hueso</= span> temporal en este<span= class=3D"awspan" style=3D"letter-spacing:0.1pt"> rango </s= pan>de edad. De</sp= an> estos pacientes 55 recibiero= n <spa= n class=3D"awspan">tratamiento conservador, lo = que indica la</spa= n> preferencia de manejo no</sp= an> quir=C3=BArgicos. Se realiz=C3= =B3 <sp= an class=3D"awspan">una valoraci=C3=B3n c= on <spa= n class=3D"awspan">audiometr=C3=ADa con u= na <spa= n class=3D"awspan">media de 32,5<sp= an class=3D"awspan" style=3D"letter-spacing:0.2pt"> a=C3=B1os y una mediana<sp= an class=3D"awspan" style=3D"letter-spacing:-0.15pt"> de <= /span>31 a=C3=B1os. Hubo </spa= n>asociaci=C3=B3n entre<span= class=3D"awspan" style=3D"letter-spacing:-0.15pt"> la </= span>fuente del trauma </spa= n>y el tipo</span= > de fractura, en los<sp= an class=3D"awspan" style=3D"letter-spacing:1.05pt"> accidentes de tr=C3=A1nsito</sp= an> (ATR) existi=C3=B3 un</span= > aumento de fracturas<= span class=3D"awspan" style=3D"letter-spacing:1.05pt"> longitudinales (63 casos, p</= span> < 0,001). Las<s= pan class=3D"awspan" style=3D"letter-spacing:-0.1pt"> ca=C3=ADdas ocasionaron fractura= s <spa= n class=3D"awspan">longitudinales y mixt= as, <s= pan class=3D"awspan">mientras que las agresiones presenta= ron incidencias variadas. (17).Los = resultados audiom=C3=A9trico= s <sp= an class=3D"awspan">seg=C3=BAn el tipo</= span> de fractura se<= span class=3D"awspan" style=3D"letter-spacing:-0.45pt"> van a correlacionar,<= span class=3D"awspan" style=3D"letter-spacing:-0.4pt"> de tal forma que<spa= n class=3D"awspan" style=3D"letter-spacing:2.85pt"> aquellos pacientes con<span= class=3D"awspan" style=3D"letter-spacing:2.85pt"> fracturas transversales presentaron= <span= class=3D"awspan">p=C3=A9rdida auditiva = m=C3=A1s grave, y aproximadamente<sp= an class=3D"awspan" style=3D"letter-spacing:0.5pt"> la </sp= an>mitad tuvo p=C3= =A9rdida </spa= n>auditiva grave. E= n <span= class=3D"awspan">el caso de fracturas longitudinales se observ=C3=B3<= /span> un deterioro moderado</span= > de= la audici=C3=B3n.<spa= n class=3D"awspan" style=3D"letter-spacing:2.5pt"> Los </sp= an>resultados del tratamiento= para la p=C3=A9rdida auditiva= conductiva <= /span>se centraron en un aumento s= ustancial en el umbral auditivo<sp= an class=3D"awspan" style=3D"letter-spacing:0.2pt"> medio <= /span>y la brecha</s= pan> entre la conducci=C3=B3n</s= pan> =C3=B3sea y a=C3=A9rea.</span= > De= tal forma q= ue el <= span class=3D"awspan">umbral auditivo prom= edio <s= pan class=3D"awspan">disminuy=C3=B3 de 50<= /span> dB (SD =C2=B1<spa= n class=3D"awspan" style=3D"letter-spacing:1.2pt"> 15) </s= pan>a 25 dB<= span class=3D"awspan" style=3D"letter-spacing:1.1pt"> (SD = =C2=B1 10), y <sp= an class=3D"awspan" style=3D"letter-spacing:-0.25pt">laEsta revista est=C3=A1 protegida bajo<spa= n class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spacin= g:-0.2pt"> una licencia Creative= Commons en <sp= an class=3D"awspan" style=3D"font-size:8pt; font-style:italic">la<sp= an class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spaci= ng:-0.2pt"> 4.0 International. Copia de la licencia:<s= pan class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spac= ing:2pt"> <a href=3D"http://creativecommons.org/licenses/by-nc-sa/4.= 0/" style=3D"text-decoration:none"></a><a href=3D"http://creativecommons.org/licenses/by-nc-sa/4.0/" st= yle=3D"text-decoration:none">http://cr= eativecommons.org/licenses/by-nc-sa/4.0/</a>D <= /span>i a<= /span> g n =C3=B3 s </sp= an>t i</span= > c o&#x= a0; M =C3=A9 d i </spa= n>c oP </s= pan>=C3=A1 g= i n a 26 | </span= >33<img src=3D= "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAUDBAQEAwUEBAQFBQU= GBwwIBwcHBw8LCwkMEQ8SEhEPERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQ= UFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eH= h4eHh4eHh7/wAARCARhAxkDASIAAhEBAxEB/8QAHAABAQACAwEBAAAAAAAAAAAAAAECCAMGBwQF= /8QAWBABAAEDAwAECAsDBgsGAwkAAAECAwQFBhEHEiExExQXQVFVlNIIFiJUVmFxgZKT0TI3dBW= RobGysyM1NkJSc3WChMHTGCQnM6LDJWJyJkNFRmOjwuHw/8QAGwEBAQEBAQEBAQAAAAAAAAAAAA= ECAwQFBgf/xAA1EQEAAQMCBQMBBgUEAwAAAAAAAQIDEQRSBRMUMZESIUFxMzVRYYHwFSJCodEGI= zKxNMHh/9oADAMBAAIRAxEAPwDpoD+lPxQANEosoAAECSqSLKAKgAkkJPeE94pIACT3Is9yAABA= kqkiysBAIkosoKkrHckrHcqACCSEiwACglXmVKvMCEhIIAKAJJAAQsJKLKKSACD9HDteCt8z+1V= 2y+XCtde51qo+TT/W/RYmWK5+BjPeyYz3sswANKAAJKpIAAADIAKgAqsZCQPgAlCEqnsYkiNQko= soKMZ7e1ap8zGGKpy1TAksuWNTDeQFpjsIgmQWYRqUhJ7wnvAAASUVBRJUnu5QYVT5mE9yzPM8p= Pc5z7ukIkwqpgliLKfZ2osLTT1qo9Dk+5KY6sfWy5daacQ5VVe76AHocAAaJRZQAAIElUkhZQBU= B9uBpebm4OdnY9masbAt03Mi5PZFMVVRTTH2zM931T6Hb+jros17fGi3tV0vO02xZs5E4805Fdc= VTVFNNUzHVpmOPlR/S897VWrNM1VziOzrbs13JxTDoU96PY5+DxvD1tof5t3/AKZ/2eN3+ttD/N= u/9N5f4tpN7t0N/a8cOXreV8H/AHxZpmbWTo2R6KaMiuJn8VEQ6JuzZe59rXONc0jIxrfPEXojr= 2pnzcV08xz9XPLva12nvTiiuJlzr0123GaqXX57kWe5HrcAAIElUkVYAESUWU5gWElY7klY7lQA= QSQkWAAUEq8ypV5gQkJBABQBJIACFhJRZRSRaYmqqKYjmZ7kfZgWv/vao+qlJnDMziH02aIt24p= jzd7MHNyGM97JjPeLAA0oAAkqkgAAAMgAqACqxkJA+BJWUSSElJhkiNMZRlLCe/hJnCwkx28oyY= zDm3EiSqSKR3s0pjiFVBOFFGEwMp704BAQCUVEX4GFc89jKZ4hxpVKwhCjnhtAEBaKeZ59COWmO= IappzOSZSUZVMeJdXPD6QHVxABolFlAAAgSVSSFlHPp2HlajqGPgYVmq/k5FyLdq3T31VTPEQ4G= xXwZ9gzh4kby1SzHh8imY0+irvotz2Tc+qau6Pq+15Nfq6dLamue/wAO+msTfuRTD6N57OxdlfB= 71LTbc03MqvwNzLvRH/mXJuUc9v8Aox3R/wD3L7fgm/u6zv8Aa1z+6tP3/hDTHkk1iP8AVf3tL8= D4Jv7us7/a1z+6tPy1Vyq5oaqqu81f+n26aIo1VNMfg9T1vVcDRdMvanqeTTjYlmIm5dqiZinmY= iO765h1WOljo9nj/wC02L+Cv3XF0/8A7pNc/wBXb/vaGnTpwzhlGstzVVMxiWdbra7FcU0w3m0D= dm29fqmjR9bwc2umOardq9E1xHpmnv4+5+nnYuNnYl3GzLFvIx7tM03LdymKqao9ExPe0MxMnIw= 8q3lYl65Yv2qoqt3LdXVqpmO6Yluf0S7hvbo6P9L1fJqpqyq7c28iYjjm5RVNMzx5ueOfvcuI8M= nR4rpnMNaTWRqM01R7tcOnfYNGy9ft39Opq/kjP5qsRM8zarj9qiZ9HbEx9U/VMvN23PwktMtZ/= RVnXqrcVXMK7ayLc+emetFM/wDpqlqfpUzTqeLNNm1fmL1HFu9zNFfyo7KuO3ifPw/QcJ1VV/TZ= q7x7Pl66zFu9iO0vedP6O8Kvoyo29XoVVWu5GlVanGp+Kz1aLvXiqjH8Jx2VdXsmOfNM+d0jb3R= xo2dtjb+rapum9p97XMivGxrNOnzdiLkXJoiJqiuO/iPNHe9Kubc6b691U6/Tq2k0RExP8n05t6= MTiKerx4P0T39/f2vl1HY3ShmWtIteKbUsW9J1CvPxrdm7dinwlVybk0zz/m8zMREcdnnfJt6qu= jMc2Pec9/r7f9PbVYpn+ifb2dH0Dojrz8/VsHLz9Qt3NPz6sTwuPp/hbVcRETFXWmunie3mae3j= sfp6T0c7Z0zTd9YW48+u5l6NNiLeXasVT4CiunrU3IoiviqaueJpnu6vf2ubeWsdJG0IzLm5Ns6= Jm6fnZ3jkVXLNV6xavcRT8maa4mn7Kvr4878nae6N+7n3BuTU9I21pesRqduxTqWHctc2OKKerb= mIqrie6mrzz5/q49M16u7RNfrj0+3aY/JyxZomKfT7vjwejrQ6NO0S/rW6b2De1+5VTptu3gzcj= q9aIoruT1o463NPZ5ut9U8fTp3RRh0xkU63uSvBu29bjR7UWcKbsXblUUzRVz1o4iet9z5r2+Nz= 7UvWdC1vbeiXcrSrs3cOnMx+vXhTX8uIommrjiOYmO/js9Ecfi0dIm4PFqbV+nEya41mjWartyi= etXfpiOIniYjqdndERPomHoijX1xmmr2+sf2/RxmrTU94di3H0V4Gn2cy5p25pz69O1CxhZ1m5g= zamibtVMRMT1pir9qP1fqal0c0a/u/WsOa68K1pVy3i0fyZpEeBqiaIq5nm5z1uZ7eZqn6+50zL= 6SNcyKtXm5i6fH8rZtnMv8AFuv5NdqYmmKfldkT1Y555+52La28d87o1DW7OnbY0fXIzr1Gbk4l= 6zM27VcUxRFVPNcT3RHfM/c5XLeuop9VVXb5zHzhuivTVTiI7uldI21ruzt15GhXcujL8FTRXRe= po6nWpqjmPk8zxP3y69Hc7V0sZu4s/eV+/ujTLGnal4K3TVYsxxTTTFPyZ/aq831v1dS6JN1afs= +rdF+5p04NONTkzFN6qa+pVETHZ1e/tjzvqWtTTRao51UZn+7x12Zqrq9Ee0OgAPY86SEuy9H+y= dY3vn5OFo1eLTdx7UXa/D3Jpjjnjs4iWLl2i1TNVc4iG6KKq5imnu60P2d6ba1HaWv3dF1WbE5N= qimqqbNc1U8VRzHbMR6X4zVFdNymKqZzEs1UzTOJEq8ypV5m0QkJBABQBJIACFhJRZRRnZom7ci= iPv8AsfqUxFNMUx2RHY4cK14O11pj5VTnYqlyqnMgDLIxnvZMZ7xYAGlAAElUkAAABkAFQAVWMh= JIfCSIqSsAIglUsOGVU9qcszLpEIKkwipwcKSQSACZABUnvRZ70CA4AVEmGTGqeIQYVT2sPOySY= YlqEARUAjtngwZZW457XIkRxHBzx3ukRhMkosoqPoAdXAAGiUWUAACBJV9eiaXm61q+LpWnWpu5= WTci3bpj0z559ER2zM+aIZqqimJqntDURMziHcOhLYte9N00+M0VRpOFMXMuru6/+jbifTV/VE/= U2+tWrdm1TatUxRboiKaaaY4imI7oh1/o72rh7P2xjaNh/Kmj5d+757tyf2qv+UeiIiHYrlNU0T= FM8Tx2TL8NxHWzqr2fiOz9NpNPFi3j5+XgXwot60xTRsvAuc1VdW9n1R5o76Lf/wDKf93637/wT= v3dZ/8Ata5/dWnUel3oks6Lt/Vt3X9w5efmeEi7cpuWaaYrqrriJ7Yns/adu+Cb+7rP/wBrXP7q= 09t+bP8ADoi1Off3+rzWuZ1ea/wdl6f/AN0euf8A0W/72hpy3F6f/wB0muR/8lv+9oadPof6f+x= q+rycV+0j6Daj4LMV+TOvr89X+ULvU+zq0f8APlq/p+Hl6jm2sLAx7uTk3qurbtW6Zqqqn7Ibo9= Fm3Lm1th6Zo1+KPGLVua780zzHhKqpqq7fPxM8c/Ucfu08mKPnJwqieZNXw+bpr6kdFm4ev3eKT= x9vMcf08NN9I/xrh/6+j+1Da34Smq2sDoszMeqvi7nXbdi3T56vlRXP9FMtUtI/xrh/6+j+1DHA= 6ZjTVz++zXEpib9MN1OkvW8vbexdT1vAptV5OLaiq3F2JmiZmqI7YiY9PpeCYPwhN228u3Xmabp= F/HiqPCUUW66Kpjz8VdaeJ+viXtHTt+6XX4//AEKf7dLTXlw4No7OotVTcpz7uuv1Fy1ciKJbx4= 1ek732Xbu1Wqb+nariczRVxPEVR2xPoqpn+aYeC9COl720ncm6tJ2xe0SL+Feox8urUKbkxV1a7= kUzR1Psq7/qeudAGNkYnRHodvJoqorqouXaaZ/0a7tdVM/fExP3ut9C1dFzpV6SKqOOPHqI++K7= 0T/S8NqqbVF63T7xH+Xprp9dVuqe/wD8eI9MFjX73SZnY+s04l/V7k2aaqcCmubdUzbp6sUxV28= 8cfe7BonQPvjUcSnIvzpunTV3Wsm9V1+PTMUU1RH8/L0fRNLx874UOu5d+iK5wMK3dtRPmrm3bp= if5pqfJ8InpF3HtjXMLRNAyacPrY0ZF69FumqqrmqqIpjrRMRHyZ83n/n+nTrtRXy9PYxE4h4p0= 1qn1XbucZdSn4PG8PWuh/m3f+mw6GdG3noe/twaNt6/ok5+Ha8Fk15nhJtVRFcfsdWOe/08PSfg= 37p17dOjatf13UK825YyKKLc1UU09WJp54+TEPzeiT9/e/Ptq/vIcLur1E03bV6Yn0x+H5w60WL= UTRXbzGXQt3bN3fvbpfztH1HK0W3q9vBoyLldqblNiaIiiIiOYmrn5Uebh7zuHbObqPRZc2pZvY= 9OZVp1vFi5XM+D61NNMTPMRzx2eh4T066/rG3OmnUM/RM65hZNWHZtTXRETM0zTTMx2x6Yj+Z7V= urV9SxOhS5rePmXLeoxpVq9F+IiauvNNMzV6O+ZcdVzposTGMe2Pq3Y9EVXInv8tcd49GGubW1n= RtLz83Trt7V73gbFVmuuaaautTTzVzTHZzVHdy7THweN4T/+LaH+bd/6bote4t57x3BpVq5n5Oo= 6nZvx4hHVp5ormYnmOIjz0xPb2dj3HE2f0212KK8jf+HYuT30RHW6v1c+DfT1Wo1Onppiq5TE/P= 7w8di1ZuzMxRMw803J0Gb20fTq8614hqdNuOa7eJdqm5EeeYiqmOfsjmfqfvfBE/ys1r+Bp/tw9= v6PdO3XpmlXsXdusY2rZHhetZvWqJpmKOI+TV2R5+f53mvQvYtY3TnvqxZoii3TVc4pjujm7y8F= XELmo0923cmJx8x9XqjS0WrtFdPtl5v8Jj97Wd/D2P7EPNHpfwmP3s538PY/sQ80foeG/wDi2/o= +Vq/tqvqJV5lSrzPc86EhIIAKAJJAAQsJLmwrPhLvWq/Zp73DxM1RER2y/Ux7cWrUU+fzkzhmqc= OSUWUc3IAAYz3smM94sADSgACSqSAAAAyACoAKrGSe4knuRWKopCQMap4VjPektQhMAy2ncvIiC= 8dqSpKiAAAIMZ7xZ70FiQAUcVc81M654jhxyzKgDOCEk4UGssWVuOO1IjmeHJDVMM1SANJCTCLK= A+gB1cQAaJRZQAAIGy/wbtgxo+lRunVLURqGbb/7tTVzzasz5+PTV3/Zx6Za36bk04efYy6sazk= xarivwN6Jmivjt4q4mJmPveqf9oHedNMU0adoNMRHZxj3ez/9x8rilrU36OXZj2nu92juWrVXru= Nit367iba25m61mz/gsW1NXHnrq7qaY+uZ4j72ts9Pe+pqmYp0uI57I8WmeP8A1PwukDpQ3JvXT= LOm6pRg2Ma1d8L1cW3XR16oiYjrc1TzEcy6O8/D+D00UTOopiZddVxCqur/AGpxDv8Au3pc3Zub= QcjRdSjA8VyOr1/B2Jpq7KoqjiefTEPYPgm/u7z/APatz+6stYHfOjzpS1/ZGi3dK0rD02/Zu5F= WRVVkW65q600008fJqiOOKY8ztr+HxVp+Xp6Yj3y56XVYveu7Pw251XTsHVcC7gali2srFu8eEt= XaYqpq4nmOY+2Idfjo62LHExtTSPvxqXhX/aF3l6r0L8m7/wBRJ+ELvH1ZoX5N3/qPiUcJ11PtT= 7fq+lVr9NV3/wCmxmj7f0LR5qnStIwcGqqOKqrFimiZj0TMQ+nU8/D0zAu5ufk2sbGs09a5cu1R= FNMfa1e1Hp731lWposRpWFP+lYxpmr/11VR/Q6JubdW4ty3Yua5q+Vm9Xtporq4opn6qY4iP5nW= 3wLUXKs3Zx/dividqmP5Idn6cN/fHbcNNOF16dJweaMaKo4m5M/tXJ+3iOI80fXMujaR/jXD/AN= fR/ah889yUzNNUTTMxMTzEv01rT02bXKo7PjV3ZuXPXU3t3TomHuPQMrRc+q5GLlURTcm1VxVxE= xPZPb6Hn2J0DbEsZNu7XGpZFNE8zbuZPyavqniIn+lrHGu63651H2mv9Sdd1uY4nWNQ4/ia/wBX= w7fBtTaiaaLuIn6vpVcQs1zmqjLb/pF3pomw9uVVVXLEZFNnweFhUTHWrmI4piI81MdnM+aPuh5= f8EnIu5Oqbqyci5VcvXfF67ldU9tVUzdmZn75eBXbly7XNy7cruVz31VTzLlw87NwpqnDzMjH6/= HW8Fdmjnju547/ADvRRwaKNPVbir+ar5c6tfM3YrmPaPh7vqu7MXaPwmdTzNQueDwcqzaxr9fHM= URVbtzFX3TTHP1TLvnST0caH0kU4eqWtUnHyLdrqWsnH6t23ctzPMcxz2988TE+fztWtAxLu491= abp2XmXfCZ+Vax6r9czXVT1qop57Z7eOe76nvWJ0A3sSmacTfWfj0z5reP1f6rjx6yxb0tVExc9= NcR+Dvp7tV6mqPRmmZd66Jdg29g6fm4lvU69Q8bu03Jqqs+D6vEcccczy6Z0Sfv6359tX95DuWz= 9DwujXbOdd1jct/Ntzcm9cycuvq9WIp4iimJmfRPd2zMtUtzbiydR3dq2t6ffycOM7KuXaYouTT= V1JqmaYnifRw4aPT16uq7HqzmO/6uuou02Io9u3w7d8Jqf/ABZzf4ez/Yh77oWPg726GcLTreX1= LWbpdvHruW+KptVxTETHHpiqO76mnWVkZGVem9k37t+5PfXcrmqr+eXLhZ2dhRPieZkY/Pf4K7V= Tz/NL69/hdVyxboirFVLwWtbFFyqqY9qntej7PwuiXpT21k6rrlrLx87w9vw04/gqbNXU6tMz8q= rvmqI57OHq/SVtHWt114VzRt45uhU2KaorpsRM03eeOJnq1U9scT6e/wA3n09zc7NzerOZmZGTN= HPV8Lcmvjn0cy5cfV9Wx7cWrGp5tq3T3U0ZFVMR90S5XuF3rlVNya/5o/JujW26ImmKfafzbj9G= e1tX2thZljV9z5OvV37kV27l+Kom3ERxxHWqqdB6If39b8/+qv8AvYa8TruueudR9qr/AFcFnUd= QsZFzIs5+VbvXf/MuUXqoqq+2YnmWKODXMV+quM1R+DVXEKc04p7PQvhMfvazv4ex/Yh5o5MnJy= Mq9N7Kv3b92Y4mu5XNVU/fLjfa0tmbFmm3M5w+deucy5NX4iVeZUq8z0OaEhIIAKAJJADK1RNy5= FEechX0YFrmrwtUdkdz7UopimmKYjiIZMTOXGZzKSiyiIAAMZ72TGe8WABpQABJVJAAAAZABUAS= VVCQkVioiJCVSxWe1GZagFRFyEKiqEgggvCSNZABMJPeiygAJVJKsKu2eUZJLm2nCKAgcLTHM/U= BTHHayU4dGEAFhJRZQR9ADo5AA0SiygAAQJKpJCygCoAEkJPeE94EiKAk9yLPcgAAQJPcqSKytV= 127lNy3XVRXTMTTVTPExMeeJfb/LOr+tc72iv9XwwMzRTV3giqY7ObMzMvLmmcrKv3+r3eFuTVx= /O+dZRYpiOyzMz3SVjuSVjuaZAEEkJFgkAUEq8ypV5gQkJBABQBJIR+hhWupb69UfKq/oh8uJa8= Ld7f2Y7ZfpMzLFU/CgMsJKLKAAAMZ72TGe8WABpQABJVJAAAAZABUEmFFViSSSCMap8ysZ70lYQ= BGl8yLPciILxKMlViMphEVAAJRU4RYE4UBjPYwZ1T5mPDMtQgJwirwxXkMCM6Y4hKI5llMLTBKc= qxOWmMrKEgpKcKCOYc3imX82ufhk8Uy/m9z8Ms9Ra3R5OTc2y4RzeKZXze5+E8Uyvm9z8J1FrdH= lrk3NsuGUc84mV82ufhTxPK+bXPwnUWt0eU5NzbLhHN4nlfNrn4TxPK+bXPwnUWt0eVizc2y4Ul= z+J5Xza5+FJw8v5td/CRqLW6PK8m5tlwDn8Ty/m1z8MniWX82u/hleotbo8pybm1wDn8Ty/m138= MnieX83u/hlOotbo8kWbm2Xzz3jmnCy/m138MnieX82u/hleotbo8nJubZcI5vE8v5td/DJ4nl/= Nrv4ZOotbo8nJubXBPcjnnDy/m138MniWX82u/gk6i1ujycm5tlwDn8Syvm138EniWX82u/gk6i= 1ujyRZubXAkvo8Syvm138EpOFl/Nrv4JOotbo8rybm1wwOfxLK+bXfwSeJZXza7+CTqLW6PKcm5= tl88o+icLL+bXfwSeJZfza7+CTqLW6PK8m5tfNKx3ObxLL+a3fwSsYWX82u/gleptbo8pybm1wD= 6PEsv5td/BKeJZfza7+GU6m1ujycm5tl88jnnCzPm178EniWZ81vfglY1NrdHlZs3NsuAc/iWX8= 2vfhk8Sy/m178Er1FndHlOTc2y4EnzPo8Sy/m178Ek4OZ82vfgk6izujycm5tl8w+jxHM+bXvwS= Tg5nza9+CTqLW6PJybm2XzD6PEcz5re/BKeI5nzW9+CTqLO6PK8m5tl869szxEczL9vTNobq1PG= 8Z07buqZdjrTT4S1jV1U8x3xzEP0sLo+3rFc117U1mOO7nDr/RidXYj+uPJybmP+Mvxce1Fq3FP= n88uV2H4i70+iuseyV/ovxE3p9FtY9kr/AEY6uxvjy5ci7tl10di+Iu9PotrHslf6HxE3p9FtY9= kr/ROrsb48nIu7ZdclHY52JvT6Lax7JX+ifETen0V1j2Sv9Dq7G+PJyLu2XXR2L4ib0+iuseyV/= ofETen0V1j2Sv8AQ6uxvjyci5tl11j53ZfiJvT6K6z7JX+jH4h71+ius+yV/odXY3x5WLFzbLrg= 7H8RN6/RXWfZK/0PiJvX6K6z7JX+jXV2N8eV5FzbLrg7H8RN6/RXWfZK/wBD4ib1+ius+yV/onV= 2N8eTkXNsuuI7J8RN6/RXWfZK/wBE+Ie9forrPslf6L1djfHk5FzbLrg7H8Q96/RXWfY6/wBD4h= 71+ius+x1/onV2N8eTkXNsuuJy7J8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHk5FzbLrg7H8Q96/= RXWfY6/0PiHvX6K6z7HX+h1djfHlORc2y64Ox/EPev0V1n2Ov8AQ+Ie9forrPslf6L1djfHk5Fz= bLrQ7J8Q96/RXWfY6/0Sdh71+ius+yV/onV2N8eWuRc2y61PenDsnxD3r9FdY9kr/Q+Ie9forrH= slf6HV2N8eTkXNsutTHZ2I7N8Qt6fRXWPZK/0Sdh71+iuseyV/odVY3x5Xk3Nsut98I7J8Q96/R= XWfZK/0T4hb1+ius+yV/odVY3x5OTc2y64yh2H4hb1+ius+yV/ofEPev0V1j2Sv9DqrG+PJybm2= XXkl2P4ib0+iuseyV/oTsTen0V1j2Sv9DqrG+PJybm2XWx2P4h70+ius+yV/ofEPekf/lbWPZK/= 0Oqs748rybm2XXB2L4ib0+i2seyV/ofETen0V1j2Sv8AROqs748rFq5tl1ye9JniHZJ2JvT6K6x= 7JX+jjq2PvLnj4r6v7JX+h1VndHleTc2y66OwfEfeP0Y1f2Sv9D4j7x+jGr+yV/ox1FrdHleTc2= y6+xdi+JG8foxq/slf6J8R94/RjV/ZK/0Ootbo8nKubXXk4dh+JG8foxq/slf6M6NibzqjrRtbV= 5j+Er/Q6i1ujycq5tl1+I4jgl2P4ib0+i2seyV/ok7E3p9FtY9kr/RrqbO6PJyrm2XW+xOHZPiJ= vX6K6x7JX+h8RN6fRXWPZK/0XqbO6PKcm5tl1yCYdj+Im9PorrHslf6HxE3p9FtY9kr/AEOps7o= 8nJubZdbHY6tib0+iuseyV/onxF3p9FdY9kr/AEOps7o8pybm2X6PAD8C/WgAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAD79v6Vla5rWLpOHTzfybkUUzPdTHnqn6ojmZ+x8D3n4P20/ENKr3H= m25jJzKerjxPfTa/wBL7ap/oiPSg9G25pGJoeiYulYVHVs49EUx6ap89U/XM8z979EiOBAAAAAA= AAAAAAAAAAAAAAAAAAAcVc8yzrniOzvcYJwjIBiLwgJMCgIkxyvADHjhO9mkwDHhGRwDDgZcJPc= DivVdSjmO/wAz4/O5r1XXrmfNHZDjmBWExDGaWcwA4+IThyTDGY4US3RNdcUx53300xTEUxHEQ4= 8S31aetMdsudFYpLLhBEJXhBMJwjJOBUlOIZSgNRAGkAAAAAADl+1tbFx9Qp1PT68eLmVcw6rmH= VH7VNy3MVzEfbRFcfbw7PG29OqysKIxaJtaPdm1rU01TPhOra8NVM+jmabtv/dp88g8+OXctH0z= S8/B03WrmNTRj4l3I/lK1RMxE00R4W3H1daJ8H/ux5zWNP0rS8bUNWoxaLuPlZdidNtXJnjwVVM= Xq/t4iaKJ+2QdNHoVe2NPs39QsXMejjVbtVGi1TVPyafBeGpmPTz17VH31eh1nc2HaxKMLDx8Oq= i9i4VurOucT23bny+30cRVRT9sA/Dct+xXZtWrlVdqqLtPWpii7TVMRzMcVRE80z2d08T53bNcr= 0jQ8qNCo23j5seL26qsu7cuReu1V24q69E01dWKYmeyOrPZHa59O0HTM7L2xau0UWreRpt7JyO2= qJvVW670xE9WJntiimPkxzx3RyDo47nuCjbuVoGVkY06RayseqjwP8m2sziqJniabk3aer3czE8= xPZL9CbG36922tq29vYtFrJot0VZc3Lk3qLldqKutT8rqxETPdxPPH1oPPHLTYrnFqyYrtdSmuK= Jpm5TFfMxM9lPPMx2d/HDsmLGnaNtfT9Tu6NjapkZ927FVWVNfg7NNuYp6sRRVHyp55mZn0cQ4r= mLh5e2NSzsbTYxrs6pYt2bfXmubdFVFyepEz2zHMR39vZCjrZ//ALveh5ek6VXpuqadXjaFZzcD= Dru8Yd3IuZFuu3x1uvXMTant5iY5757H5moXNK0W7i6RG2cbUPCY1m5cyrly5F6/NyiKubU01RT= TETV1Y7J/Z7fOg/A1XSbun6jn4dV6xXOFX1a6puRTNfbx8mmZ5n7I5fnO77ixMa/rO9712x1rmN= MVWZrj5VEzfopn7+JmHz6jc0rRqsTSPi1j5/hcazcuZNdy7F69NyiKubUxPFMRNXEfJnu7QdVos= V141zIiq1FFuaYmJuUxVPPPdTM8zHZ2zEdjG7buWa+pdt126+Inq1RxPExzH88TEu5a1p+nadc3= Jes6faqjT9VsUWbV6KpiKObnNE8TzxPViJ7eezvfRr1yjWt5YuJRomk26LOLZyL1XhLlqmq3GNR= XPhKpqniimO7jieI75lR0S1T4S7TbieOtVFPP2vs3Bptej65naXcu03q8W/VamumniKppnjnh2j= cmHpdzRcPVcG3pVF2jUIxq503w8WqomnrcT4aP2o476eztfl9I1q7O+NfvRbrm1TqF2ma+rPViZ= qniOfT2T/Mg66cw7xqEaNo+uWNufFrHz7dUWabmTcruRfvTcppnrUTTVFMR8rsjie6OUu4Gk7ew= tduXtOx9WvYOrxh49V+qqKOrxc5mqKZjn9mOznv+xR0gdy1W5pOheJafO3MTUJycW1k3ci7cuxX= XN2mKuLXVqiKYp56sTxPbHa/I3zh42n7sz8PDsVY9i1XEUW6u+mOrE8T9YPxAAAAAAAIiapiKYm= ap7ojzg7P0Z7Xubq3RZwqomMO1/hcqvjuoif2ftqns/p8zaaxat2LVFq1RTRbopimimmOIpiO6I= h1Dom2rG19sW7d+iIz8ri7lT54njso/3Y/pmXcmQAAAAAAAAAAAAAAAAAAAAAAAAJEq5nsBhM8z= yizCAnHApwCBMAJMIyAYizCAgpwCJwoDFxX6urTxHfLmmYiOZfLXM1VTIsOLhJhnwgrCYSYZzCc= A42Vqjr1xHm86zD6LNHVo+ue2RJZ+bgAQAFSYRkTAMeEZIIgvCA1CAaAAAAAAH06ZnZemahY1DB= vTZybFcV264iJ4n7J7J+9z2Na1Wzb1C3azblNOpRxlxxE+Fjnrdv3893pmPPL88B9mJqediadma= fj5E28bNiiMi31Ynr9Weae3jmOJ57jN1PPzcHCwsrIm5j4VNVGPRMRHUiqeZjsjme30vjAfoX9b= 1a9Vp1VzNuVTptNNOHzEf4KInrRx6e30+iI7ohlk65q2RVqU3s2uqNTqivMjiIi7MVdaOeI7OJ9= HH8z80B+zjbp3Bj4EYVnUq6bVNE26Jmimblumf82muY61Mds9kTD469W1KqcGrxuumrAo6mLVRx= TVajrTV2THE99Uzz39r4gH6usbh1nVrMWc7M69qKuvNFFui3FVX+lVFMR1qvrnmXDTrGpU6zb1i= nJ4zrc0zRd6lPZNMRTT2ccd0R5nwAP09H1/V9Js12MHL6lmuetVauW6blHW7ut1a4mIn64jlx5W= sanlWsi1k5ly9Tk36ci9NfE1V3KYmIq63fHEVT2cvgAfuZO7dw5Niuxe1GaqLlubd3i1RE3aZiY= nrzFPNc8T31czHmYYO6NfwsGjDxtRqptW4mLczbpqrtR6KK5iaqP92YfjAPvv6zqd+5n3LuT1q9= Q48amaKf8ACcVRVHm7O2Ins4dq0TOro0nEt0b6x8TGooiK7d7EqnJx/wDSptVRRVMR38cVU/ZHa= 6MA/Y1/XcjUNQ1auxVVbxNQy/GJtVUxM9k1dTme/mIqnuSNya3FWDXTm9W5gUdTHri3RFVNPHV6= s1cc1Rx2cVcxx2PyAH6up7h1jUrUWszLiu1Tcpu026bVFFFFVPPE000xER+1PZHf5+XHn65q2db= y7eVmVXKMzJjKv09WmIruxEx1uIjs757uIfnAP2sPde4cTDpxMfUq6bdFPUt1TbpquW6fRRXMda= mPqiYfmxnZcadc0+Lv/drl2m9XRxHbXETETz391U9j5wHd9v51y3o+Nas73xcKxRH+Es5OJVVex= 557fAzFFX2xxVT2+h1zdmpWtY3JnalYpuU2b92arcXP2urxERz9fEdr8sAAAAAAAel9A2051fXp= 1vMtz4np9UTb5jsuXu+I/wB3v+3h5/o+n5WrapjabhW5uZGRciiiIj0+efqjvmfREtr9paJjbd0= HE0nEj5Fijiqvjia6v86qftlJH60RxACAAAAAAAAAAAAAAAAAAAAAAAABLGFn0AITCgjCYRmkwK= xOFnsQEFJgESYUBOEZJwCJwqVTERMyDhvzPHVj73C5J5meZ70mIkWGEpMMpiUFY8Jwz4SY8wFmj= rV8z3Q+hLdPVpiPP52QyicLMAMRknAIAAnCgqIyOAa3+TPfHqK5+db948me+PUVz8637zaAXKNX= /Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/ACZ749RXPzr= fvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufn= W/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav8Ak= z3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8me+PUVz8637x5M98eorn51v3m0AZGr/kz3x6iufnW/eP= Jnvj1Fc/Ot+82gDI1f8AJnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrf= vNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj= 1Fc/Ot+8eTPfHqK5+db95tAGRq/wCTPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz= 3x6iufnW/ebQBkav+TPfHqK5+db948me9/UVz8637zaAMjyroT2Hl6FdydY1zGiznTzax7c1RVN= FP8AnVdnZzPd9kT6XqpxHogQAAAAAAAAAAAAAAAAAAAAAAAAAAEmFBEADIAGE4SYZAZYIzmEmBW= KcMkBBU4AcN6fldWO5yV1cRy4e8GKTDLhBWKTHLNOAYcSzs08zz6CI5nhzU08RxAJwKCMTheAGI= pwDHhJZAMRZhAAAfoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAgpwJ7oEwAAAnDGYZgMEZTDC52QK4655q+qGEwzlAYDKYSYBjMehGREczwC2qe3n= j7HIccAInDIBiLwnAJwjIBicLwgIKkwCcHCgPuAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOAEwkwKSCAgo4qp608s657OHHwJhJSWRwKx4Rlwn= AMeGVuniOfSRHayAOABBU4AABJhGQDEXhASUZJMAnBwqA+0AAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJ445VjX2iYYTzyjJOBWPBwoDEmF= 4POBTCgCcIyAYi8IAnCgIKnACKAnCMkQQ4ZU0zVVEQ5vB0ehRmAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABMseFnvBGMwkwzSYDLBJhnMJw= KxWIAE4FAQJAE4UBOEZJwCC8IBwigIkspgopmqrjzA5LNPEcz3y5OfqAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJVJAAAAEwJMKAxmE4Zp= wKwFmAEOABOOBTgEAASYUBiMkmARzW6eI+1x245q+qHNAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgnHCn3ggqcCgAAAgnCgMOEZpMCs= RZhACYAEFSYABlbjmeQZ0xxCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJg4SVAQAXIAGAATCJMMgMsOEZ8JMCsRZQDjlyUxxHEJ= RHnZAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAACJMCgIHCCqAAAInCcdrIgFAFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAO04ARBUDIAKR2qQAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAHHaAmAAUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAmU5fkbu3Hpe19LjU9YvV2cTwlNublNE19WZ7uYjt4YbZ3PoW5sa5f0LU7ObTa4= i5FHMVUc88cxMRMd09/oa5dfp9WPZiblMVenPu/a5OWq1vpe3roOu5+PGfb1DGt5VyKbWXR1uIi= ueyKo4q7vrbI7M1ivX9radrNePGPVmY9N2bcVdaKZnzc+d6dVobumiKqu0vNptbb1EzTT3h+z5u= SJ5dO6Yd31bI2Hm63Zooryommzi0V/szdqniOfTERzPHn4eDbL0bpw6QdMr3HibvvYWLeuTFqq/= m3LNN3iZiZoot0zEUxMTHdH1PI9jarkeG5WD0j7J6MLtOq9IGlYesXdXpqt6hm3671qLE2uPBc3= LVUxVNVMzx1fv8z07B3Fp+kbJ0nVNzbg06nwuHZm7m1XIotZFybcTNVHMRzFU8zEREdnmgHZB1X= TekXY+pVZFOBuXAyJxsevJvRRXM9S1RHNVc9ndEPmp6VejqqqKY3fpfMzx23Jj/kDuY+LK1fS8X= Sf5WydRxLWn+Di541Xdpi11Z7qutzxxPMPwNN6SNi6nqFjTsDc+n5GXfri3atUVzM11T3RHYDtg= 8p6LN1alas7l1DeG/ND1jBwq7c0V4nERiUzVXExc4tUds/Jj/O7pdlsdKXR5evUWqN36V1q54jr= XurH889kA7iJTVTXTFVMxVTMcxMd0qAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADy/wCE5+7G5/F2v+bqXwR+7c3/AA3/ALrtvw= nP3Y3P4u1/XLqXwRv2dzf8L/7r7Vr7sq+v+HxLv3jT9Hie5P8AKHUv4u7/AG5be9EP7sdv/wADR= /U1C3J/lFqX8Xd/ty296If3Zbf/AIGj+p6uNfYW/wB/Dz8H+3ufv5dD+GBjX7/Rfi3bVM1UY+qW= rl3jzUzbuUxP4qoj73Yvg46jg53RFotvEv267mLbqs37dNUTVbriursqjzc9/wBku5bm0TT9x6F= l6LqtiL2Hl25ouU88THniYnzTE8TE+mHgWb8GOvxu7Vp28PB48zzRTew5muI9EzFcRP28R9kPzb= 9G7V8MCf8Awtxv9q2v7u68d6UMvJzNf2Fpl/TsnVMTH29p82sC1VVE5M1URNUR1YmeZ4insjn5L= 1ijoLyqejC9s6rc1mq7c1enUIyZxZ4iItdTqdXrffzz9z9je3Q1i7k0Lb1q1rN7Tta0TBs4lrOt= W+YrptxHHNPWiY7YmYmKuznzivP9sY2NOi7xrp6KMzaVdvbGfNObeuZExXPUiPB/4SIjmYmZ9Py= X42wdibY1b4PmvbozdPmvV8SMmbORF2uJp6lFM09kTxPb9T1HQeineGLa1bH1jpFzNWxtQ0vJwa= bN6m5VTRVdo6sXOJrmJ47X6u0+jK/oXRJquxatYt37mfF+IyosTTFHhKYj9nrdvHHpEa769m5eR= 0NbD0i7l3KMK/qGb4Tmrsjq3KIp/m8JXx9rZTbnQ/sHRM7C1LT9GqpzMOqm5avVZFyqrrR3VTHW= 45+516joP0/J6LsTZ+p6rNzKwsi7kY2fZs9WaJrntiaJmeae7mOY7o7YfPszoh3hoGv6Zm3ekjP= zMDCvUVThzF2mi5RT/mcTcmIjj6uAeadE2p6JpG0OkrL3Fg1ahp/hseivFprmnw1U3LvVp5ieYj= rcdvoj7nXN3VafnbOu52n9EWZodiuKLlrVqb+RctUUzVEd9VPVmKu7v75h7hoHQZbxNu7o0XUtc= 8Yt65ctXbdyzj9SrHrt1VVUzxNU9btqj0d0+l+Fe6BN23dH/kW50l5NemRTFEYlVi5NrqxMTEdX= wnHETEcfYD0noAy8jN6H9u5GVdqu3IxqrfWq7+rRcqopj7qaYj7ne3XOjPbde0Nkadty5l05dWF= TXTN6mjqRX1q6qu7meP2uHYwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAeX/Cc/djc/i7X9cupfBH/AGdzf8L/AO67b8Jz92Nz+= Ltf1y6l8Ef9nc3/AA3/ALr7Vr7sq+v+HxL33lT9Hie5P8otS/i7v9uW3vRD+7Hb/wDA0f1NQtyf= 5Q6l/F3f7ctvOiGf/DHb38DR/U9XGvsLf7+Hn4P9vc/fy7NnV1W8DIuUTxVTaqmJ9ExDVLYm6On= Pe3js7d12rIjCqoi914x7fV6/W6v7VMc/sy2r1P8AxZlf6mv+zLX34Fn/AJW7P9Zi/wBV5+bfo4= fNsTpR37t3pKs7Q6RqvC05N2ixVNy3RFdmqv8AYrpqojiqiZmOe/7uJeoba1nduT0raxpeoZej1= 6FZornFtWL9qrJpmJp469EVdaI7Z74jzPFfhN128zp10jGwZivJoxsWzXFM9sXJvVzEfbxVT/PD= 7sXUcnSOnLpL1PDq6uTi6TmXbVXHPFcRb4nj6pBsVnbk2/p+TVjZ+u6Xi3qe+3ey6KKo+2Jnl1r= pG3RmfE69n7G1nQr+ZayLdFV29mWvA0xPPMTVNUUxPojl4r0KdFW3977JzN0biy9QyM25lXojwd= +Kf2YieapmJmapmZnnn0OmaHER8H/c9Md0a3iR/wCmoHs/TdvzXdv9F+3snA17Dxdx5FePVmU4t= dq51qarNc11Ux2xNE1xHFUdnd2vS9qbq0jM2liajka7p1ybWJYqzbvjNHFquumP25ieKZmrmO3j= ta9dN+29Lt9C+yN1027n8qXMPAwaq+vPV8F4tXXx1e7nmO93bL2z0d7G6FcnM1TEzq8PW8bCqy7= Nq/M3L92ni5RTRM9lPbNUz9UT9gPXMfde2Mm/RYxtxaReu1zxTRRmW6qqp9ERE9rzLpX3duLSOm= nZ+habqdzH03Pmz4zYiimYuda9NM8zMcx2dnZLwLeU7Mu7fjJ27s3cek3+vTVby8nIm5Zqp9Hd5= +Y4mJ9DvWtZuVqO/uh/Nzb1V/Iu4GFNy5VPNVc+GmOZnzzPpBtTAQAAAAAAAD8PfG4MbbW28rVL= /wAqqinq2aP9O5P7Mf8AOfqiXgHlU33zP/xqI+rxWz7gNmxrJ5VN9+u49ks+4eVTffruPZLPuLg= bNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7J= Z9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWf= cMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffru= PZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2= Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb7= 9dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/X= ceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeV= TffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3= 367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjW= Tyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8= qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZ= sayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLP= uHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7h= gbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNgIAAAAPL/hO= fuxufxdr+uXSfgp52FiVbioyszHsVXZxvBxduxTNXHheeOe/vh7zq+mafq2L4pqeFj5mP1oqm3e= oiqnmO6eJfkVbE2ZMdu19In/AISj9Hvt6ymnTTYmO85y+dd0lVWpi9E9vhrruLok31d1LNzsTSr= WXYu37lymbWVb5mmapmOyZh6F0e9It3auiYW3t57c1TR7WHbps282rHrm3VEeers7Pu5ek2NlbY= xuZw9IsYcz3zi1VWZ/nomJc8bdtW4mnG1LU7duqOKrdzInIoqj0cXet2fZw6XuIc+iKLsZiP0Ys= 6CbNc125xMvtsZeJrGj13tOy7GTZv2qot3bdcVUzzHHfDWvTPg/9JGmzd/k3dmmYXhJia/F8zIt= 9bjnjnq0RzxzP873jE2dj6ZkXM3Rb9Om5NUzM02LfVsXezs8Ja56sz/81PVn63Z8abk2om7TTTc= 4+VFM8xz9T51WM+z6VE1Y93h3RZ0E39A3RZ3LurWLWpZuPc8LZs2Yqqo8J5q6q6+2qY74jiO2In= me5+3onRdnWeljc259Uv4ORpGtY17H8Woqr8L1bnU5ir5MRHZTPdPnetJMcstNVq9nZ+1bmda2X= 0y6BjaZc5uV2bupRbrniJ7Jpp60TPHZzHHPofN0PbM1Pe/Q9uLR9Ov41i7d1excpu5E1RRPUo5q= j5MTPPyo8z2SvoG6Na7lVyrRsiaqp5n/AL7e7/xO97b0DSNt6Ta0nRMG1hYdrnq26OZ5nzzMz2z= P1zMyK6HvXozydzdD2jbNuZ9jH1DS7ONNF6Imq1VdtWptzE9kT1Ziqrt457ux1ux0R7y1Xo+z9r= 7t3VjZUW6sevSK7XWuU4824rpmmrmmmZiYqpjvmY4+rt7rujU83P3nZ0rCuX7GNptrwmfNNVdEV= TdpmLcxNMTz1erNXFUxEzMejs65rd/eutZ1i9GHrODHgZt0049FVvwXhOrz1p5+XVT16O2eI5t3= PNPLtRYmr5eeq/jtDquq9EfTBqm3adu5+9tIyNLt00UU49ddziIo46kcxa57OI879+50Sa/Xruw= s/wAf0zwe3MbHs5Udevm5Nu5NUzR8ntjifPw7Bcyt5YOhYFjBwL1zxm1NNyK4u1XLHWimmOZqma= oqpmvv7qot1TERzD6NG1HdOu61gWNS0vK0/CouU5VdUW6rfbFuKvBVVTPyoiq5THPEczbq7OJ7H= JnGcrzo7YeiUqlKuLsAAAAJVPCuidM27I25tmbGLd6uo5vNux1Z4qt0/wCdX90dkfXMegHlXTdu= yNwbknT8S51sDT5mimY7q7ndVV/RxH2c+d5+faKACgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADdABkAAAADgAODgAOCIiO4AAAAAfLXp2Bczac65hY= 9WVTTFNN6bUTXERPPEVd/D6erT6FBMJ1Y9BFMQoKAAAAATPAOLMyLGLi3cnIuU27Vqia66qp7Ka= YjmZaqdIG5L26dzZGp1zVFjnqY1uf8AMtx3R9s98/XL0/4Qe6/A41G18K5/hL0RczJj/No76aPv= 75+qI9LxBYABQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAABugAyAAAAAAAAAAAAAAAAAAAAAADG5+yANXemD94+sf62n+xS6mCgAoAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//9k=3D" width=3D"= 793" height=3D"1121" alt=3D"" style=3D"margin-left:-1pt; position:absolute"= /><img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBD= AAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQE= BAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAAbAE0DASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAA= AAAAAAABwUGCAkKAgT/xAApEAABBAMAAQQCAgIDAAAAAAAFAwQGBwECCAkREhMUABUKFiEiGCUy= /8QAFwEAAwEAAAAAAAAAAAAAAAAAAAECA//EACkRAQACAAYBAwMFAQAAAAAAAAECEQASITFBUQN= xkfATImEygaHB8dH/2gAMAwEAAhEDEQA/ALAbx6gFUHCruua3rKsFMMDvK/BjZu2mcwdmDZDW+L= BBRGGRYS3M6bOyDrRuPBR8MxTTQatUEUk9Go5nvujzW3N/m+6DizK0o6FqbmeLnGqRiK1tedm26= ftJ0HdJ4cMNZg3jZduPhxR033S3cDFMvXg7ffZF4gi4TUQ1DjUFHp95X/HtX1jtGj+vMdg+QCyR= AYpjTcPIbgrE/dUprRB6grn4FnkcMMk5QE13122/asENE9d9lM6ZcD3yLdzI0R2hNAl83CT7Urt= /ZDeV8go8yOCkS5trYN0fXsL2s8JJW8FS+6+iVIF5XN443LyCQNp+mOeGmjF21EKI75QhG5S1Va= 1V6/c29TGEPGOaaqynLmVVZ0n5DeivTHcTv/oqsb6R5H7biswo6/zAR/JqzMArSmcgqO9I6I2/7= l9WUpWKtt1ioVPbRcvGSCSRhmh7190fj11yoSWJnproe4bApHmWTvI8ypSLBZX0HfVjy+ekINWm= ZQyfFYrBQQNjJWDmY2KcCMFpAuLw/Yj4+Eci3pV3osWHN1mF5GZrA7Y8aNMXvGulpv1VN6i8idF= o863tPapzVUrLE5OeZx2YQmOqpxeHpS6OrRAhJ3hMoNE5HkHUc0YPfsPY5ndB78/T6q4QO8jXAn= QBpKuMd1OJVcHPFklXbIKIs0zJaNhVYyylxUkKbIimtiRArWwwuCjT9ym5PBZfs5EJqrNXSP4EI= xnu/cLlWyzLw+51V+k/SieWm0lBlWaVWINFrrduv8XgftJJ1jV1HVv1jM7KK3NyzOZElFJjJGid= g1PbVEE3koViI0xY0FdziRMlYo8K/RWXfJP2bwWFLhzLhtuye/Lp4Zl0nI5b0Xjk+sOi67qGaBq= 2dW9Zln37c8hDRWBwJogs9xkPH1pgJfTGSKjGrs45HNXrVsGjzfcyTX0bKoZ3APKsIiPEfgmeeP= SS5Jp9w972bcZUnz2SeiSk4rlmYsJhVyNlyEKIcO14pXounKlhk+SOG9m6T82a2RGLrOHCLNKQE= AhXKzqy+v8AmbsOrqIlqnW4qt57yjL+icaAa4K27X1QDKoJVgpZSOiJuEyfdyAFycQmDKMCxYWX= L6CcPXbdZv8AhljnC6qN5RDkD8/7d4bCB5IRuhtY5mmq4sdSzfbCGPuO44dSy/W4XqSOdh8fxmf= K17c9h1i9sWBz2jHO0n/q7SdyOJuZiabG63cOXIo8qTaKtSDWEGB0ty2WH7OstyXOLWuKVTKa11= T1hsYKIp6t07h6S6LuGxZ3pU9BVw51eKBnBFgOkCL+Uy6TpCyboJH2jlsjoOYOHzt1jZRk2dxFu= vPcPOXJ9wcqZ6Fqo4968aTzmioPHdI5Nv0TYcBqGVR4hUhu3x12JZZy6PxCFi/t2XGSVgJEhI6J= tI4D2cInd8M2xUBs4PXAHsnjW3Fa70U7RgNGlucZbeshMwqoLJtujGIRq7o2cT8SQFbxM0fzFhR= uItXxRFscWIk09ESe7RYU/piZxXcdO6y+9b/5gfH4zyRjdXGX25nVMtCK8Mni67MeOM9GWI3gkx= vSuevYx2vR1Rrx9XohjBGVzUzdlHxOULKIjLWVgM2O4cS2tNMprOnZVog2zqIbuSLN07+i7R10H= eLWVGpMn0u1eSo/IwY6wK9fRz9wfJyBJk2PVXHXbvIpwYdPlWrIhugi+2bNlE2m7lRd5hHDh04V= VoL6GmthjrX6E6Cv2CVXTF59F8AN/HFzHxTVNsxa47Cswkdlw6SnbqmOYcq5YgK6r9qL1RZHjCn= wiophdu9eNyWGg97dz4co+tE490FFnK/2nEbNUkBXc+u2cOFxFKxwestrnbGNs6qqN9t9c5xjOd= c49cev4yo+SKB+mWxVbb12aGnBi4wgebxxrRjNYqpplRpdxd8YfLn8j7Cddx9D8v29KRnOz6hO4= b8kfLPUcc0dfs6pt6HdDT4jGy01TWV2bLRQ5ursHkGc4SHJs1vcV1wOwuu31HVX51OrYRChQK+v= HVP7qm2g9m3Y2/ypOIJKams7OqOmjWTN9Cb5uTiTQtrjV2okRw4bMsLb6Jb7I667Zx8d28w0aZ7= f7IMEoP8AYIleqehCRBxiSy9D7D19bcudOl/hbn0kEsquFVFPjRSTS093tT000xrrgZxSFMYAJ3= AweR2dEAm+m+mREbuO2gw3Gu+ce/2MR81QbJ529c+uyaeu2fXP+fxhW2h13t3eKp3jVNNN6e3Zv= +e8XG+VDyg2VLJXAL769GQytlqaIPpVyF4+4zLh01Oa2a7HOBjG8egzwPfA9vvFxzp6lHGDVPVB= su9dNhqi7h0R11hBzj5KeufJO9sWn1Kh5OKB4dCmE7NCrXjsvPAiiT2ewyuhDFiPFi5KvkqtI5y= Fxo6UZoIMmmrt2q8SwjjXeAZfmelz5B0XOxUiaKvVdlnhMtN58RIO1tv/AEq5ePJQs4XU29Meu6= qm22fT/Ofwl0/AYzRBY6cqJEvBS0kCpRw29ESmU7KkAyRoVI27RXD0y7T02ZyAAENMXSOiTxgUF= MXzNwg5bpqajEUUFNn5898GSK5pBKXb1pxtxg82F3r0B4843AZZG6E4fizS/GDyRQzepB7/AAam= MIDNxjF9MCmG6LMkOBDZ3tKaq3YSDdkUTsOs7FD6CsJRvd85enP3ks7b8kGLCqePUFyzPUYtHBU= mMwuxGBR63PjnskGR5XUGLeakUipQQkRWPOWaOmj79KLKOGOrhyho2VhXMaSrifN4k0mYkxJW8F= j5CLRBMtNJu6wAjxWay6xiQphtvI/fo1fTmeTGUOdd9t91S8iJudt85X9NV2rawiNMF8yKqdJJA= DuXgF/+3jE6nQx/h5GTjORgXGrlCSYV1UFnB7Mk1zrtj2uW+mdsba+7XM5IXeUvv56YX0vHd5I2= c1rx/wAMSGsLvK7PHu2RUjlJ8PRGeHcif7fC6wikxHTAGIkYnSSwwgfOLR8WDKDpJHV2RtmzDyQ= quLSetUCrNg9wogi4OffK71p5AJHKqKWqrlR8xRhD+Yv4/ZwaSn2EqQHHY6CRj0aiTBnITEvlaz= 6SsyDYIEDviqQQaeON0FEwy+uY6WHG2VsRYDCbHISqYxWNkHhIMGNTeZuG7R883Wyo4331P6OHe= 6WrhdFlh6s51GtllGo/Vq23yllCqisIZSZ97J6sYk4abJiVQBJ4NlEqW1IB1iA0v9B60fmnjJ0i= gYDhzLLK7ZTdgZECy7HduRHM3KLyR00NNTDfHBczEs0Hn5pg6T7ubp3x5x+qLAZ8gcm1mn0FGjh= YUQhMLNBjaGI0WQYkYrJ13TMWSYlUGD2OSNQFsptq2ESEGq8SbPt1WrfXr/Fu67nvbvPHWd12GH= j8dkX/ACIARHZhGk3Wo3LIDUkNWar41drKrYXUySVwr/v7c4109uMemfXFvacXZ3SNbjLaMTexB= 7A44kg9nLbGsA0gNNvhYwG+IDU3kmUwOVfCw4tq+0ZfAi8+g2WcpKuEtVfzZ5/FUraF1lyF0YLh= AbIRiR6Ry/eIYJFiXzO8VjBm+FflLP36yfoiknp8aSmiX+vu9nvzttkyR3ovDIRi5gpqr5r+sf/= Z" width=3D"77" height=3D"27" alt=3D"" style=3D"margin-left:441.05pt; posit= ion:absolute" /><svg font-family=3D"Times New Roman" font-size= =3D"16" height=3D"41.33" version=3D"1.1" width=3D"209.31" xmlns=3D"http://w= ww.w3.org/2000/svg" style=3D"width:209.31px; height:41.33px; font-family:'T= imes New Roman'; font-size:16px" xmlns:xlink=3D"http://www.w3.org/1999/xlin= k"><defs /><g><g><path d=3D"M0,0 L209,0 L209,0 L209,41 L209,41 L0,41 Z" fil= l=3D"#7c7c7c" fill-rule=3D"evenodd" /></g></g></svg><a href=3D"http://www.anatomiadigital.org/" style=3D"text-decoration= :none">www.anatom= iadigital.org</a>ISSN: 2697-3391Vol. <sp= an class=3D"awspan" style=3D"color:#ffffff">8 No. 2.1, pp= . 19 <span= class=3D"awspan" style=3D"color:#ffffff">=E2=80=93 33, abril - mayo= </sp= an>2025 Revista en ciencias = m=C3=A9dicas, salud p=C3=BAblica Art=C3=ADculo de revisi=C3=B3n bibliogr=C3= =A1fica.brecha<= span class=3D"awspan" style=3D"letter-spacing:0.1pt"> entre el aire y= el hueso tambi=C3=A9n</sp= an> disminuyo de 30 dB <= span class=3D"awspan">(SD =C2=B1 10)</span= > a = 10 dB (SD</s= pan> =C2=B1 5), ambos resultados= <span= class=3D"awspan">fueron estad=C3=ADsticamente<span= class=3D"awspan" style=3D"letter-spacing:2.95pt"> significativos (p < 0,001). = Estos cambios sustentan la e= ficacia de las intervenciones terap=C3=A9uticas. (17)Los principales<span= class=3D"awspan" style=3D"letter-spacing:-0.3pt"> predictores de intervenciones</span= > quir=C3=BArgicas fueron, en<= /span> <span= class=3D"awspan">primer lugar, la</span= > edad avanzada, que limita</sp= an> la posibilidad de<sp= an class=3D"awspan" style=3D"letter-spacing:1.05pt"> someterse a una = intervenci=C3=B3n quir=C3=BArgica, y</spa= n> cada a=C3=B1o adicional aume= nta <s= pan class=3D"awspan">en un factor<= span class=3D"awspan" style=3D"letter-spacing:0.45pt"> de 1,03 (OR = 1,03 <= span class=3D"awspan">por a=C3=B1o, p</sp= an> =3D 0,01). Un total </s= pan>de 24 pacientes recibieron </= span>una intervenci=C3=B3n<sp= an class=3D"awspan" style=3D"letter-spacing:0.4pt"> quir=C3=BArgica, que incluyeron</spa= n> timpanoplastia, cirug=C3=ADa facial,<spa= n class=3D"awspan" style=3D"letter-spacing:0.4pt"> descompresi=C3=B3n nerviosa y<= span class=3D"awspan" style=3D"letter-spacing:0.4pt"> timpanismo. En relaci=C3=B3n</spa= n> con los tipos d= e <span= class=3D"awspan">fracturas, los pacientes con fracturas mixtas ten=C3=ADan 2,1<= /span> <span= class=3D"awspan">veces y los pacientes con fracturas trasversales, 3,5 veces m=C3=A1s probabilidades de requerir = cirug=C3=ADa. (17)Suli= gavi, <= span class=3D"awspan">et al (18),<sp= an class=3D"awspan" style=3D"letter-spacing:0.5pt"> mencionan la correlaci=C3=B3n= de= las fracturas del <= span class=3D"awspan">hueso temporal con</s= pan> la p=C3=A9rdida auditiva. = Clasificaron = las fracturas en = 2 tipos: la= tradicional, que engloba</spa= n> la longitudinal, trasversal = y <spa= n class=3D"awspan">mixta; el segundo</spa= n> grupo fue el sparing, <= /span>que comprend=C3=ADa<sp= an class=3D"awspan" style=3D"letter-spacing:2.05pt"> la conservaci=C3=B3n o violaci=C3= =B3n <= span class=3D"awspan">de la capsula</span= > =C3=B3tica. Se realice un</sp= an> estudio de 35 pacientes de los cuales el = 77,1% eran hombres</= span> y el 22,9% m= ujeres, </span= >el 94% de<sp= an class=3D"awspan" style=3D"letter-spacing:0.2pt"> los </s= pan>pacientes cursaron con sangrado de o=C3=ADdos. Adem=C3=A1s de los 35</= span> casos, 30 presentaron= fracturas longitudinales con un= <span= class=3D"awspan">porcentaje de 85,7%,</s= pan> 4 tuvieron fracturas</span= > trasversales y solo<sp= an class=3D"awspan" style=3D"letter-spacing:0.35pt"> 1 </s= pan>paciente tuvo = fractura mixta= con un porce= ntaje <= span class=3D"awspan">de. En el<span= class=3D"awspan" style=3D"letter-spacing:0.8pt"> estudio <= /span>se realiz=C3=B3 un <s= pan class=3D"awspan">nuevo sistema de</span= > clasificaci=C3=B3n, donde 27 c= asos <s= pan class=3D"awspan">(77%) ten=C3=ADan cons= ervaci=C3=B3n = de la c=C3=A1= psula <= span class=3D"awspan">=C3=B3tica (OCS) y</s= pan> 8 casos (23%) presentaron</sp= an> afectaci=C3=B3n de la</span= > misma (OCV). El 34% </spa= n>de los pacientes= <span= class=3D"awspan">tienen p=C3=A9rdida auditiva<span= class=3D"awspan" style=3D"letter-spacing:0.1pt"> leve </sp= an>y el 28<s= pan class=3D"awspan" style=3D"letter-spacing:0.1pt"> % </s= pan>tienen audici=C3=B3n<span= class=3D"awspan" style=3D"letter-spacing:0.1pt"> normal </= span>y el 3% presen= t=C3=B3 </span= >p=C3=A9rdida auditiva severa. (= 18).Deshmukh<sp= an class=3D"awspan" style=3D"letter-spacing:0.8pt"> et </sp= an>al. (19) presenta= n <span= class=3D"awspan">un art=C3=ADculo donde</s= pan> indican que las fracturas <= /span>en el hueso te= mporal </span= >son m=C3=A1s frec= uentes </span= >en los varones,</= span> adem=C3=A1s, dentro de</= span> los 50 pacientes<= span class=3D"awspan" style=3D"letter-spacing:-0.5pt"> evaluados se determin=C3=B3 q= ue <spa= n class=3D"awspan">34 padec=C3=ADan p=C3=A9= rdida <= span class=3D"awspan">auditiva conductiva (= CHL) <s= pan class=3D"awspan">y 16 p=C3=A9rdida</spa= n> auditiva neurosensorial (SNHL); adem=C3=A1s, 33 ten=C3=ADan<spa= n class=3D"awspan" style=3D"letter-spacing:4.95pt"> una </= span>fractura de = tipo <= span class=3D"awspan">fracturas como preservaci=C3=B3n de = la c=C3=A1psula =C3=B3ptica (OCS) y 17 ten=C3=ADan fracturas violatorias (O= CV). (19)<a id=3D"_._Discusi=C3=B3n"></a><spa= n class=3D"awspan" style=3D"font-weight:bold; color:#767070">4.<span= class=3D"awspan" style=3D"font-weight:bold; letter-spacing:-0.1pt; color:#= 767070">Discusi=C3=B3n= La <sp= an class=3D"awspan">p=C3=A9rdida auditiva tras = un TCE depende</sp= an> de la intensidad<spa= n class=3D"awspan" style=3D"letter-spacing:0.35pt"> y </sp= an>ubicaci=C3=B3n del impacto, = si se afecta el </span= >o=C3=ADdo interno, se </span= >puede interrumpir la = transmisi=C3=B3n del sonido, un trauma que </span= >da=C3=B1a las c=C3=A9lulas ciliadas o <= span class=3D"awspan">la v=C3=ADa auditiv= a genera </sp= an>p=C3=A9rdida auditiva neurosensorial,<span= class=3D"awspan" style=3D"letter-spacing:0.05pt"> mientras que una fractura<s= pan class=3D"awspan" style=3D"letter-spacing:2.25pt"> o </= span>acumulaci=C3=B3n de<spa= n class=3D"awspan" style=3D"letter-spacing:2.25pt"> l=C3=ADquido causa p=C3=A9rdida</s= pan> auditiva conductiva. El</s= pan> trauma craneoencef=C3=A1lico (TCE)<= span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> tiene efectos significativo= s <spa= n class=3D"awspan">en la audici=C3=B3n,<= /span> lo que se evidencia en varios estudios.= Por un lado, el estudio de Penn et al. </spa= n>(15) en ratone= s <spa= n class=3D"awspan">muestra que el TCE leve repetitivo</spa= n> puede causar un da=C3=B1o neuronal temprano<s= pan class=3D"awspan" style=3D"letter-spacing:4.45pt"> que,= aunque no = afecta directamente a las c= =C3=A9lulas </= span>ciliadas, provoca una = degeneraci=C3=B3n del ganglio </sp= an>espiral, esto sugiere<span= class=3D"awspan" style=3D"letter-spacing:0.8pt"> que </spa= n>los mecanismos d= e <span= class=3D"awspan">da=C3=B1o auditivo son</= span> m=C3=A1s complejos de</spa= n> lo que se pensabaEsta revista est=C3=A1<s= pan class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spac= ing:-0.2pt"> protegida bajo <s= pan class=3D"awspan" style=3D"font-size:8pt; font-style:italic">una<= span class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spa= cing:-0.2pt"> licencia Creative </spa= n>Commons= en la <= span class=3D"awspan" style=3D"font-size:8pt; font-style:italic">4.0= International. Copia de la licencia: <a = href=3D"http://creativecommons.org/licenses/by-nc-sa/4.0/" style=3D"text-de= coration:none"></a><a href= =3D"http://creativecommons.org/licenses/by-nc-sa/4.0/" style=3D"text-decora= tion:none">http://creativecommons.org/= licenses/by-nc-sa/4.0/</a>D i<= /span> a g n =C3=B3 </s= pan>s t</sp= an> i c <= /span>o M =C3=A9<s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-s= pacing:0.45pt; color:#ffffff"> d</spa= n> i c</spa= n> o<= /span>P = =C3=A1 g i n a </sp= an>27 | 33<img src=3D"data:image/= jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8= LCwkMEQ8SEhEPERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA= 4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/w= AARCARhAxkDASIAAhEBAxEB/8QAHAABAQACAwEBAAAAAAAAAAAAAAECCAMGBwQF/8QAWBABAAED= AwAECAsDBgsGAwkAAAECAwQFBhEHEiExExQXQVFVlNIIFiJUVmFxgZKT0TI3dBWRobGysyM1NkJ= Sc3WChMHTGCQnM6LDJWJyJkNFRmOjwuHw/8QAGwEBAQEBAQEBAQAAAAAAAAAAAAECAwQFBgf/xA= A1EQEAAQMCBQMBBgUEAwAAAAAAAQIDEQRSBRMUMZESIUFxMzVRYYHwFSJCodEGIzKxNMHh/9oAD= AMBAAIRAxEAPwDpoD+lPxQANEosoAAECSqSLKAKgAkkJPeE94pIACT3Is9yAABAkqkiysBAIkos= oKkrHckrHcqACCSEiwACglXmVKvMCEhIIAKAJJAAQsJKLKKSACD9HDteCt8z+1V2y+XCtde51qo= +TT/W/RYmWK5+BjPeyYz3sswANKAAJKpIAAADIAKgAqsZCQPgAlCEqnsYkiNQkosoKMZ7e1ap8z= GGKpy1TAksuWNTDeQFpjsIgmQWYRqUhJ7wnvAAASUVBRJUnu5QYVT5mE9yzPM8pPc5z7ukIkwqp= gliLKfZ2osLTT1qo9Dk+5KY6sfWy5daacQ5VVe76AHocAAaJRZQAAIElUkhZQBUB9uBpebm4Odn= Y9masbAt03Mi5PZFMVVRTTH2zM931T6Hb+jros17fGi3tV0vO02xZs5E4805FdcVTVFNNUzHVpm= OPlR/S897VWrNM1VziOzrbs13JxTDoU96PY5+DxvD1tof5t3/AKZ/2eN3+ttD/Nu/9N5f4tpN7t= 0N/a8cOXreV8H/AHxZpmbWTo2R6KaMiuJn8VEQ6JuzZe59rXONc0jIxrfPEXojr2pnzcV08xz9X= PLva12nvTiiuJlzr0123GaqXX57kWe5HrcAAIElUkVYAESUWU5gWElY7klY7lQAQSQkWAAUEq8y= pV5gQkJBABQBJIACFhJRZRSRaYmqqKYjmZ7kfZgWv/vao+qlJnDMziH02aIt24pjzd7MHNyGM97= JjPeLAA0oAAkqkgAAAMgAqACqxkJA+BJWUSSElJhkiNMZRlLCe/hJnCwkx28oyYzDm3EiSqSKR3= s0pjiFVBOFFGEwMp704BAQCUVEX4GFc89jKZ4hxpVKwhCjnhtAEBaKeZ59COWmOIappzOSZSUZV= MeJdXPD6QHVxABolFlAAAgSVSSFlHPp2HlajqGPgYVmq/k5FyLdq3T31VTPEQ4GxXwZ9gzh4kby= 1SzHh8imY0+irvotz2Tc+qau6Pq+15Nfq6dLamue/wAO+msTfuRTD6N57OxdlfB71LTbc03Mqvw= NzLvRH/mXJuUc9v8Aox3R/wD3L7fgm/u6zv8Aa1z+6tP3/hDTHkk1iP8AVf3tL8D4Jv7us7/a1z= +6tPy1Vyq5oaqqu81f+n26aIo1VNMfg9T1vVcDRdMvanqeTTjYlmIm5dqiZinmYiO765h1WOljo= 9nj/wC02L+Cv3XF0/8A7pNc/wBXb/vaGnTpwzhlGstzVVMxiWdbra7FcU0w3m0Ddm29fqmjR9bw= c2umOardq9E1xHpmnv4+5+nnYuNnYl3GzLFvIx7tM03LdymKqao9ExPe0MxMnIw8q3lYl65Yv2q= oqt3LdXVqpmO6Yluf0S7hvbo6P9L1fJqpqyq7c28iYjjm5RVNMzx5ueOfvcuI8MnR4rpnMNaTWR= qM01R7tcOnfYNGy9ft39Opq/kjP5qsRM8zarj9qiZ9HbEx9U/VMvN23PwktMtZ/RVnXqrcVXMK7= ayLc+emetFM/wDpqlqfpUzTqeLNNm1fmL1HFu9zNFfyo7KuO3ifPw/QcJ1VV/TZq7x7Pl66zFu9= iO0vedP6O8Kvoyo29XoVVWu5GlVanGp+Kz1aLvXiqjH8Jx2VdXsmOfNM+d0jb3Rxo2dtjb+rapu= m9p97XMivGxrNOnzdiLkXJoiJqiuO/iPNHe9Kubc6b691U6/Tq2k0RExP8n05t6MTiKerx4P0T3= 9/f2vl1HY3ShmWtIteKbUsW9J1CvPxrdm7dinwlVybk0zz/m8zMREcdnnfJt6qujMc2Pec9/r7f= 9PbVYpn+ifb2dH0Dojrz8/VsHLz9Qt3NPz6sTwuPp/hbVcRETFXWmunie3mae3jsfp6T0c7Z0zT= d9YW48+u5l6NNiLeXasVT4CiunrU3IoiviqaueJpnu6vf2ubeWsdJG0IzLm5Ns6Jm6fnZ3jkVXL= NV6xavcRT8maa4mn7Kvr4878nae6N+7n3BuTU9I21pesRqduxTqWHctc2OKKerbmIqrie6mrzz5= /q49M16u7RNfrj0+3aY/JyxZomKfT7vjwejrQ6NO0S/rW6b2De1+5VTptu3gzcjq9aIoruT1o46= 3NPZ5ut9U8fTp3RRh0xkU63uSvBu29bjR7UWcKbsXblUUzRVz1o4iet9z5r2+Nz7UvWdC1vbeiX= crSrs3cOnMx+vXhTX8uIommrjiOYmO/js9Ecfi0dIm4PFqbV+nEya41mjWartyietXfpiOIniYj= qdndERPomHoijX1xmmr2+sf2/RxmrTU94di3H0V4Gn2cy5p25pz69O1CxhZ1m5gzamibtVMRMT1= pir9qP1fqal0c0a/u/WsOa68K1pVy3i0fyZpEeBqiaIq5nm5z1uZ7eZqn6+50zL6SNcyKtXm5i6= fH8rZtnMv8AFuv5NdqYmmKfldkT1Y555+52La28d87o1DW7OnbY0fXIzr1Gbk4l6zM27VcUxRFV= PNcT3RHfM/c5XLeuop9VVXb5zHzhuivTVTiI7uldI21ruzt15GhXcujL8FTRXRepo6nWpqjmPk8= zxP3y69Hc7V0sZu4s/eV+/ujTLGnal4K3TVYsxxTTTFPyZ/aq831v1dS6JN1afs+rdF+5p04NON= TkzFN6qa+pVETHZ1e/tjzvqWtTTRao51UZn+7x12Zqrq9Ee0OgAPY86SEuy9H+ydY3vn5OFo1eL= Tdx7UXa/D3Jpjjnjs4iWLl2i1TNVc4iG6KKq5imnu60P2d6ba1HaWv3dF1WbE5NqimqqbNc1U8V= RzHbMR6X4zVFdNymKqZzEs1UzTOJEq8ypV5m0QkJBABQBJIACFhJRZRRnZom7ciiPv8AsfqUxFN= MUx2RHY4cK14O11pj5VTnYqlyqnMgDLIxnvZMZ7xYAGlAAElUkAAABkAFQAVWMhJIfCSIqSsAIg= lUsOGVU9qcszLpEIKkwipwcKSQSACZABUnvRZ70CA4AVEmGTGqeIQYVT2sPOySYYlqEARUAjtng= wZZW457XIkRxHBzx3ukRhMkosoqPoAdXAAGiUWUAACBJV9eiaXm61q+LpWnWpu5WTci3bpj0z55= 9ER2zM+aIZqqimJqntDURMziHcOhLYte9N00+M0VRpOFMXMuru6/+jbifTV/VE/U2+tWrdm1Tat= UxRboiKaaaY4imI7oh1/o72rh7P2xjaNh/Kmj5d+757tyf2qv+UeiIiHYrlNU0TFM8Tx2TL8NxH= Wzqr2fiOz9NpNPFi3j5+XgXwot60xTRsvAuc1VdW9n1R5o76Lf/wDKf93637/wTv3dZ/8Ata5/d= WnUel3oks6Lt/Vt3X9w5efmeEi7cpuWaaYrqrriJ7Yns/adu+Cb+7rP/wBrXP7q09t+bP8ADoi1= Off3+rzWuZ1ea/wdl6f/AN0euf8A0W/72hpy3F6f/wB0muR/8lv+9oadPof6f+xq+rycV+0j6Da= j4LMV+TOvr89X+ULvU+zq0f8APlq/p+Hl6jm2sLAx7uTk3qurbtW6Zqqqn7Ibo9Fm3Lm1th6Zo1= +KPGLVua780zzHhKqpqq7fPxM8c/Ucfu08mKPnJwqieZNXw+bpr6kdFm4ev3eKTx9vMcf08NN9I= /xrh/6+j+1Da34Smq2sDoszMeqvi7nXbdi3T56vlRXP9FMtUtI/xrh/6+j+1DHA6ZjTVz++zXEp= ib9MN1OkvW8vbexdT1vAptV5OLaiq3F2JmiZmqI7YiY9PpeCYPwhN228u3XmabpF/HiqPCUUW66= Kpjz8VdaeJ+viXtHTt+6XX4//AEKf7dLTXlw4No7OotVTcpz7uuv1Fy1ciKJbx41ek732Xbu1Wq= b+nariczRVxPEVR2xPoqpn+aYeC9COl720ncm6tJ2xe0SL+Feox8urUKbkxV1a7kUzR1Psq7/qe= udAGNkYnRHodvJoqorqouXaaZ/0a7tdVM/fExP3ut9C1dFzpV6SKqOOPHqI++K70T/S8NqqbVF6= 3T7xH+Xprp9dVuqe/wD8eI9MFjX73SZnY+s04l/V7k2aaqcCmubdUzbp6sUxV288cfe7BonQPvj= UcSnIvzpunTV3Wsm9V1+PTMUU1RH8/L0fRNLx874UOu5d+iK5wMK3dtRPmrm3bpif5pqfJ8InpF= 3HtjXMLRNAyacPrY0ZF69FumqqrmqqIpjrRMRHyZ83n/n+nTrtRXy9PYxE4h4p01qn1XbucZdSn= 4PG8PWuh/m3f+mw6GdG3noe/twaNt6/ok5+Ha8Fk15nhJtVRFcfsdWOe/08PSfg37p17dOjatf1= 3UK825YyKKLc1UU09WJp54+TEPzeiT9/e/Ptq/vIcLur1E03bV6Yn0x+H5w60WLUTRXbzGXQt3b= N3fvbpfztH1HK0W3q9vBoyLldqblNiaIiiIiOYmrn5Uebh7zuHbObqPRZc2pZvY9OZVp1vFi5XM= +D61NNMTPMRzx2eh4T066/rG3OmnUM/RM65hZNWHZtTXRETM0zTTMx2x6Yj+Z7VurV9SxOhS5re= PmXLeoxpVq9F+IiauvNNMzV6O+ZcdVzposTGMe2Pq3Y9EVXInv8tcd49GGubW1nRtLz83Trt7V7= 3gbFVmuuaaautTTzVzTHZzVHdy7THweN4T/+LaH+bd/6bote4t57x3BpVq5n5Oo6nZvx4hHVp5o= rmYnmOIjz0xPb2dj3HE2f0212KK8jf+HYuT30RHW6v1c+DfT1Wo1Onppiq5TE/P7w8di1ZuzMxR= Mw803J0Gb20fTq8614hqdNuOa7eJdqm5EeeYiqmOfsjmfqfvfBE/ys1r+Bp/tw9v6PdO3XpmlXs= XdusY2rZHhetZvWqJpmKOI+TV2R5+f53mvQvYtY3TnvqxZoii3TVc4pjujm7y8FXELmo0923cmJ= x8x9XqjS0WrtFdPtl5v8Jj97Wd/D2P7EPNHpfwmP3s538PY/sQ80foeG/wDi2/o+Vq/tqvqJV5l= SrzPc86EhIIAKAJJAAQsJLmwrPhLvWq/Zp73DxM1RER2y/Ux7cWrUU+fzkzhmqcOSUWUc3IAAYz= 3smM94sADSgACSqSAAAAyACoAKrGSe4knuRWKopCQMap4VjPektQhMAy2ncvIiC8dqSpKiAAAIM= Z7xZ70FiQAUcVc81M654jhxyzKgDOCEk4UGssWVuOO1IjmeHJDVMM1SANJCTCLKA+gB1cQAaJRZ= QAAIGy/wbtgxo+lRunVLURqGbb/7tTVzzasz5+PTV3/Zx6Za36bk04efYy6sazkxarivwN6Jmiv= jt4q4mJmPveqf9oHedNMU0adoNMRHZxj3ez/9x8rilrU36OXZj2nu92juWrVXruNit367iba25m= 61mz/gsW1NXHnrq7qaY+uZ4j72ts9Pe+pqmYp0uI57I8WmeP8A1PwukDpQ3JvXTLOm6pRg2Ma1d= 8L1cW3XR16oiYjrc1TzEcy6O8/D+D00UTOopiZddVxCqur/AGpxDv8Au3pc3ZubQcjRdSjA8VyO= r1/B2Jpq7KoqjiefTEPYPgm/u7z/APatz+6stYHfOjzpS1/ZGi3dK0rD02/Zu5FWRVVkW65q600= 008fJqiOOKY8ztr+HxVp+Xp6Yj3y56XVYveu7Pw251XTsHVcC7gali2srFu8eEtXaYqpq4nmOY+= 2Idfjo62LHExtTSPvxqXhX/aF3l6r0L8m7/wBRJ+ELvH1ZoX5N3/qPiUcJ11PtT7fq+lVr9NV3/= wCmxmj7f0LR5qnStIwcGqqOKqrFimiZj0TMQ+nU8/D0zAu5ufk2sbGs09a5cu1RFNMfa1e1Hp73= 1lWposRpWFP+lYxpmr/11VR/Q6JubdW4ty3Yua5q+Vm9Xtporq4opn6qY4iP5nW3wLUXKs3Zx/d= ividqmP5Idn6cN/fHbcNNOF16dJweaMaKo4m5M/tXJ+3iOI80fXMujaR/jXD/ANfR/ah889yUzN= NUTTMxMTzEv01rT02bXKo7PjV3ZuXPXU3t3TomHuPQMrRc+q5GLlURTcm1VxVxExPZPb6Hn2J0D= bEsZNu7XGpZFNE8zbuZPyavqniIn+lrHGu63651H2mv9Sdd1uY4nWNQ4/ia/wBXw7fBtTaiaaLu= In6vpVcQs1zmqjLb/pF3pomw9uVVVXLEZFNnweFhUTHWrmI4piI81MdnM+aPuh5f8EnIu5Oqbqy= ci5VcvXfF67ldU9tVUzdmZn75eBXbly7XNy7cruVz31VTzLlw87NwpqnDzMjH6/HW8Fdmjnju54= 7/ADvRRwaKNPVbir+ar5c6tfM3YrmPaPh7vqu7MXaPwmdTzNQueDwcqzaxr9fHMURVbtzFX3TTH= P1TLvnST0caH0kU4eqWtUnHyLdrqWsnH6t23ctzPMcxz2988TE+fztWtAxLu491abp2XmXfCZ+V= ax6r9czXVT1qop57Z7eOe76nvWJ0A3sSmacTfWfj0z5reP1f6rjx6yxb0tVExc9NcR+Dvp7tV6m= qPRmmZd66Jdg29g6fm4lvU69Q8bu03Jqqs+D6vEcccczy6Z0Sfv6359tX95DuWz9DwujXbOdd1j= ct/Ntzcm9cycuvq9WIp4iimJmfRPd2zMtUtzbiydR3dq2t6ffycOM7KuXaYouTTV1JqmaYnifRw= 4aPT16uq7HqzmO/6uuou02Io9u3w7d8Jqf/ABZzf4ez/Yh77oWPg726GcLTreX1LWbpdvHruW+K= ptVxTETHHpiqO76mnWVkZGVem9k37t+5PfXcrmqr+eXLhZ2dhRPieZkY/Pf4K7VTz/NL69/hdVy= xboirFVLwWtbFFyqqY9qntej7PwuiXpT21k6rrlrLx87w9vw04/gqbNXU6tMz8qrvmqI57OHq/S= VtHWt114VzRt45uhU2KaorpsRM03eeOJnq1U9scT6e/wA3n09zc7NzerOZmZGTNHPV8Lcmvjn0c= y5cfV9Wx7cWrGp5tq3T3U0ZFVMR90S5XuF3rlVNya/5o/JujW26ImmKfafzbj9Ge1tX2thZljV9= z5OvV37kV27l+Kom3ERxxHWqqdB6If39b8/+qv8AvYa8TruueudR9qr/AFcFnUdQsZFzIs5+Vbv= Xf/MuUXqoqq+2YnmWKODXMV+quM1R+DVXEKc04p7PQvhMfvazv4ex/Yh5o5MnJyMq9N7Kv3b92Y= 4mu5XNVU/fLjfa0tmbFmm3M5w+deucy5NX4iVeZUq8z0OaEhIIAKAJJADK1RNy5FEechX0YFrmr= wtUdkdz7UopimmKYjiIZMTOXGZzKSiyiIAAMZ72TGe8WABpQABJVJAAAAZABUASVVCQkVioiJCV= SxWe1GZagFRFyEKiqEgggvCSNZABMJPeiygAJVJKsKu2eUZJLm2nCKAgcLTHM/UBTHHayU4dGEA= FhJRZQR9ADo5AA0SiygAAQJKpJCygCoAEkJPeE94EiKAk9yLPcgAAQJPcqSKytV127lNy3XVRXT= MTTVTPExMeeJfb/LOr+tc72iv9XwwMzRTV3giqY7ObMzMvLmmcrKv3+r3eFuTVx/O+dZRYpiOyz= Mz3SVjuSVjuaZAEEkJFgkAUEq8ypV5gQkJBABQBJIR+hhWupb69UfKq/oh8uJa8Ld7f2Y7ZfpMz= LFU/CgMsJKLKAAAMZ72TGe8WABpQABJVJAAAAZABUEmFFViSSSCMap8ysZ70lYQBGl8yLPciILx= KMlViMphEVAAJRU4RYE4UBjPYwZ1T5mPDMtQgJwirwxXkMCM6Y4hKI5llMLTBKcqxOWmMrKEgpK= cKCOYc3imX82ufhk8Uy/m9z8Ms9Ra3R5OTc2y4RzeKZXze5+E8Uyvm9z8J1FrdHlrk3NsuGUc84= mV82ufhTxPK+bXPwnUWt0eU5NzbLhHN4nlfNrn4TxPK+bXPwnUWt0eVizc2y4Ulz+J5Xza5+FJw= 8v5td/CRqLW6PK8m5tlwDn8Ty/m1z8MniWX82u/hleotbo8pybm1wDn8Ty/m138MnieX83u/hlO= otbo8kWbm2Xzz3jmnCy/m138MnieX82u/hleotbo8nJubZcI5vE8v5td/DJ4nl/Nrv4ZOotbo8n= JubXBPcjnnDy/m138MniWX82u/gk6i1ujycm5tlwDn8Syvm138EniWX82u/gk6i1ujyRZubXAkv= o8Syvm138EpOFl/Nrv4JOotbo8rybm1wwOfxLK+bXfwSeJZXza7+CTqLW6PKcm5tl88o+icLL+b= XfwSeJZfza7+CTqLW6PK8m5tfNKx3ObxLL+a3fwSsYWX82u/gleptbo8pybm1wD6PEsv5td/BKe= JZfza7+GU6m1ujycm5tl88jnnCzPm178EniWZ81vfglY1NrdHlZs3NsuAc/iWX82vfhk8Sy/m17= 8Er1FndHlOTc2y4EnzPo8Sy/m178Ek4OZ82vfgk6izujycm5tl8w+jxHM+bXvwSTg5nza9+CTqL= W6PJybm2XzD6PEcz5re/BKeI5nzW9+CTqLO6PK8m5tl869szxEczL9vTNobq1PG8Z07buqZdjrT= T4S1jV1U8x3xzEP0sLo+3rFc117U1mOO7nDr/RidXYj+uPJybmP+Mvxce1Fq3FPn88uV2H4i70+= iuseyV/ovxE3p9FtY9kr/AEY6uxvjy5ci7tl10di+Iu9PotrHslf6HxE3p9FtY9kr/ROrsb48nI= u7ZdclHY52JvT6Lax7JX+ifETen0V1j2Sv9Dq7G+PJyLu2XXR2L4ib0+iuseyV/ofETen0V1j2S= v8AQ6uxvjyci5tl11j53ZfiJvT6K6z7JX+jH4h71+ius+yV/odXY3x5WLFzbLrg7H8RN6/RXWfZ= K/0PiJvX6K6z7JX+jXV2N8eV5FzbLrg7H8RN6/RXWfZK/wBD4ib1+ius+yV/onV2N8eTkXNsuuI= 7J8RN6/RXWfZK/wBE+Ie9forrPslf6L1djfHk5FzbLrg7H8Q96/RXWfY6/wBD4h71+ius+x1/on= V2N8eTkXNsuuJy7J8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHk5FzbLrg7H8Q96/RXWfY6/0PiHv= X6K6z7HX+h1djfHlORc2y64Ox/EPev0V1n2Ov8AQ+Ie9forrPslf6L1djfHk5FzbLrQ7J8Q96/R= XWfY6/0Sdh71+ius+yV/onV2N8eWuRc2y61PenDsnxD3r9FdY9kr/Q+Ie9forrHslf6HV2N8eTk= XNsutTHZ2I7N8Qt6fRXWPZK/0Sdh71+iuseyV/odVY3x5Xk3Nsut98I7J8Q96/RXWfZK/0T4hb1= +ius+yV/odVY3x5OTc2y64yh2H4hb1+ius+yV/ofEPev0V1j2Sv9DqrG+PJybm2XXkl2P4ib0+i= useyV/oTsTen0V1j2Sv9DqrG+PJybm2XWx2P4h70+ius+yV/ofEPekf/lbWPZK/0Oqs748rybm2= XXB2L4ib0+i2seyV/ofETen0V1j2Sv8AROqs748rFq5tl1ye9JniHZJ2JvT6K6x7JX+jjq2PvLn= j4r6v7JX+h1VndHleTc2y66OwfEfeP0Y1f2Sv9D4j7x+jGr+yV/ox1FrdHleTc2y6+xdi+JG8fo= xq/slf6J8R94/RjV/ZK/0Ootbo8nKubXXk4dh+JG8foxq/slf6M6NibzqjrRtbV5j+Er/Q6i1uj= ycq5tl1+I4jgl2P4ib0+i2seyV/ok7E3p9FtY9kr/RrqbO6PJyrm2XW+xOHZPiJvX6K6x7JX+h8= RN6fRXWPZK/0XqbO6PKcm5tl1yCYdj+Im9PorrHslf6HxE3p9FtY9kr/AEOps7o8nJubZdbHY6t= ib0+iuseyV/onxF3p9FdY9kr/AEOps7o8pybm2X6PAD8C/WgAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAD79v6Vla5rWLpOHTzfybkUUzPdTHnqn6ojmZ+x8D3n4P20/ENKr3Hm25jJzKerjxP= fTa/wBL7ap/oiPSg9G25pGJoeiYulYVHVs49EUx6ap89U/XM8z979EiOBAAAAAAAAAAAAAAAAAA= AAAAAAAcVc8yzrniOzvcYJwjIBiLwgJMCgIkxyvADHjhO9mkwDHhGRwDDgZcJPcDivVdSjmO/wA= z4/O5r1XXrmfNHZDjmBWExDGaWcwA4+IThyTDGY4US3RNdcUx53300xTEUxHEQ48S31aetMdsud= FYpLLhBEJXhBMJwjJOBUlOIZSgNRAGkAAAAAADl+1tbFx9Qp1PT68eLmVcw6rmHVH7VNy3MVzEf= bRFcfbw7PG29OqysKIxaJtaPdm1rU01TPhOra8NVM+jmabtv/dp88g8+OXctH0zS8/B03WrmNTR= j4l3I/lK1RMxE00R4W3H1daJ8H/ux5zWNP0rS8bUNWoxaLuPlZdidNtXJnjwVVMXq/t4iaKJ+2Q= dNHoVe2NPs39QsXMejjVbtVGi1TVPyafBeGpmPTz17VH31eh1nc2HaxKMLDx8Oqi9i4VurOucT2= 3bny+30cRVRT9sA/Dct+xXZtWrlVdqqLtPWpii7TVMRzMcVRE80z2d08T53bNcr0jQ8qNCo23j5= seL26qsu7cuReu1V24q69E01dWKYmeyOrPZHa59O0HTM7L2xau0UWreRpt7JyO2qJvVW670xE9W= JntiimPkxzx3RyDo47nuCjbuVoGVkY06RayseqjwP8m2sziqJniabk3aer3czE8xPZL9CbG3692= 2tq29vYtFrJot0VZc3Lk3qLldqKutT8rqxETPdxPPH1oPPHLTYrnFqyYrtdSmuKJpm5TFfMxM9l= PPMx2d/HDsmLGnaNtfT9Tu6NjapkZ927FVWVNfg7NNuYp6sRRVHyp55mZn0cQ4rmLh5e2NSzsbT= Yxrs6pYt2bfXmubdFVFyepEz2zHMR39vZCjrZ//ALveh5ek6VXpuqadXjaFZzcDDru8Yd3IuZFu= u3x1uvXMTant5iY5757H5moXNK0W7i6RG2cbUPCY1m5cyrly5F6/NyiKubU01RTTETV1Y7J/Z7f= Og/A1XSbun6jn4dV6xXOFX1a6puRTNfbx8mmZ5n7I5fnO77ixMa/rO9712x1rmNMVWZrj5VEzfo= pn7+JmHz6jc0rRqsTSPi1j5/hcazcuZNdy7F69NyiKubUxPFMRNXEfJnu7QdVosV141zIiq1FFu= aYmJuUxVPPPdTM8zHZ2zEdjG7buWa+pdt126+Inq1RxPExzH88TEu5a1p+nadc3Jes6faqjT9Vs= UWbV6KpiKObnNE8TzxPViJ7eezvfRr1yjWt5YuJRomk26LOLZyL1XhLlqmq3GNRXPhKpqniimO7= jieI75lR0S1T4S7TbieOtVFPP2vs3Bptej65naXcu03q8W/VamumniKppnjnh2jcmHpdzRcPVcG= 3pVF2jUIxq503w8WqomnrcT4aP2o476eztfl9I1q7O+NfvRbrm1TqF2ma+rPViZqniOfT2T/Mg6= 6cw7xqEaNo+uWNufFrHz7dUWabmTcruRfvTcppnrUTTVFMR8rsjie6OUu4Gk7ewtduXtOx9WvYO= rxh49V+qqKOrxc5mqKZjn9mOznv+xR0gdy1W5pOheJafO3MTUJycW1k3ci7cuxXXN2mKuLXVqiK= Yp56sTxPbHa/I3zh42n7sz8PDsVY9i1XEUW6u+mOrE8T9YPxAAAAAAAIiapiKYmap7ojzg7P0Z7= Xubq3RZwqomMO1/hcqvjuoif2ftqns/p8zaaxat2LVFq1RTRbopimimmOIpiO6Ih1Dom2rG19sW= 7d+iIz8ri7lT54njso/3Y/pmXcmQAAAAAAAAAAAAAAAAAAAAAAAAJEq5nsBhM8zyizCAnHApwCB= MAJMIyAYizCAgpwCJwoDFxX6urTxHfLmmYiOZfLXM1VTIsOLhJhnwgrCYSYZzCcA42Vqjr1xHm8= 6zD6LNHVo+ue2RJZ+bgAQAFSYRkTAMeEZIIgvCA1CAaAAAAAAH06ZnZemahY1DBvTZybFcV264i= J4n7J7J+9z2Na1Wzb1C3azblNOpRxlxxE+Fjnrdv3893pmPPL88B9mJqediadmafj5E28bNiiMi= 31Ynr9Weae3jmOJ57jN1PPzcHCwsrIm5j4VNVGPRMRHUiqeZjsjme30vjAfoX9b1a9Vp1VzNuVT= ptNNOHzEf4KInrRx6e30+iI7ohlk65q2RVqU3s2uqNTqivMjiIi7MVdaOeI7OJ9HH8z80B+zjbp= 3Bj4EYVnUq6bVNE26Jmimblumf82muY61Mds9kTD469W1KqcGrxuumrAo6mLVRxTVajrTV2THE9= 9Uzz39r4gH6usbh1nVrMWc7M69qKuvNFFui3FVX+lVFMR1qvrnmXDTrGpU6zb1inJ4zrc0zRd6l= PZNMRTT2ccd0R5nwAP09H1/V9Js12MHL6lmuetVauW6blHW7ut1a4mIn64jlx5WsanlWsi1k5ly= 9Tk36ci9NfE1V3KYmIq63fHEVT2cvgAfuZO7dw5Niuxe1GaqLlubd3i1RE3aZiYnrzFPNc8T31c= zHmYYO6NfwsGjDxtRqptW4mLczbpqrtR6KK5iaqP92YfjAPvv6zqd+5n3LuT1q9Q48amaKf8ACc= VRVHm7O2Ins4dq0TOro0nEt0b6x8TGooiK7d7EqnJx/wDSptVRRVMR38cVU/ZHa6MA/Y1/XcjUN= Q1auxVVbxNQy/GJtVUxM9k1dTme/mIqnuSNya3FWDXTm9W5gUdTHri3RFVNPHV6s1cc1Rx2cVcx= x2PyAH6up7h1jUrUWszLiu1Tcpu026bVFFFFVPPE000xER+1PZHf5+XHn65q2dby7eVmVXKMzJj= Kv09WmIruxEx1uIjs757uIfnAP2sPde4cTDpxMfUq6bdFPUt1TbpquW6fRRXMdamPqiYfmxnZca= dc0+Lv/drl2m9XRxHbXETETz391U9j5wHd9v51y3o+Nas73xcKxRH+Es5OJVVex557fAzFFX2xx= VT2+h1zdmpWtY3JnalYpuU2b92arcXP2urxERz9fEdr8sAAAAAAAel9A2051fXp1vMtz4np9UTb= 5jsuXu+I/wB3v+3h5/o+n5WrapjabhW5uZGRciiiIj0+efqjvmfREtr9paJjbd0HE0nEj5Fijiq= vjia6v86qftlJH60RxACAAAAAAAAAAAAAAAAAAAAAAAABLGFn0AITCgjCYRmkwKxOFnsQEFJgES= YUBOEZJwCJwqVTERMyDhvzPHVj73C5J5meZ70mIkWGEpMMpiUFY8Jwz4SY8wFmjrV8z3Q+hLdPV= piPP52QyicLMAMRknAIAAnCgqIyOAa3+TPfHqK5+db948me+PUVz8637zaAXKNX/Jnvj1Fc/Ot+= 8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/ACZ749RXPzrfvHkz3x6iufn= W/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TP= fHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav8Akz3x6iufnW/eP= Jnvj1Fc/Ot+82gDI1f8me+PUVz8637x5M98eorn51v3m0AZGr/kz3x6iufnW/ePJnvj1Fc/Ot+8= 2gDI1f8AJnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj= 1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPf= HqK5+db95tAGRq/wCTPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQ= Bkav+TPfHqK5+db948me9/UVz8637zaAMjyroT2Hl6FdydY1zGiznTzax7c1RVNFP8AnVdnZzPd= 9kT6XqpxHogQAAAAAAAAAAAAAAAAAAAAAAAAAAEmFBEADIAGE4SYZAZYIzmEmBWKcMkBBU4AcN6= fldWO5yV1cRy4e8GKTDLhBWKTHLNOAYcSzs08zz6CI5nhzU08RxAJwKCMTheAGIpwDHhJZAMRZh= AAAfoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= gpwJ7oEwAAAnDGYZgMEZTDC52QK4655q+qGEwzlAYDKYSYBjMehGREczwC2qe3nj7HIccAInDIB= iLwnAJwjIBicLwgIKkwCcHCgPuAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAOAEwkwKSCAgo4qp608s657OHHwJhJSWRwKx4RlwnAMeGVuniOfSR= HayAOABBU4AABJhGQDEXhASUZJMAnBwqA+0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJ445VjX2iYYTzyjJOBWPBwoDEmF4POBTCgCcIyA= Yi8IAnCgIKnACKAnCMkQQ4ZU0zVVEQ5vB0ehRmAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABMseFnvBGMwkwzSYDLBJhnMJwKxWIAE4FAQJA= E4UBOEZJwCC8IBwigIkspgopmqrjzA5LNPEcz3y5OfqAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJVJAAAAEwJMKAxmE4ZpwKwFmAEOABOO= BTgEAASYUBiMkmARzW6eI+1x245q+qHNAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgnHCn3ggqcCgAAAgnCgMOEZpMCsRZhACYAEFSYA= BlbjmeQZ0xxCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAJg4SVAQAXIAGAATCJMMgMsOEZ8JMCsRZQDjlyUxxHEJRHnZAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAACJMCgIHCCqAAAInCcdrIgFAFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAO04ARBUDIAKR2qQAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAHHaAmAAUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AmU5fkbu3Hpe19LjU9YvV2cTwlNublNE19WZ7uYjt4YbZ3PoW5sa5f0LU7ObTa4i5FHMVUc88cx= MRMd09/oa5dfp9WPZiblMVenPu/a5OWq1vpe3roOu5+PGfb1DGt5VyKbWXR1uIiueyKo4q7vrbI= 7M1ivX9radrNePGPVmY9N2bcVdaKZnzc+d6dVobumiKqu0vNptbb1EzTT3h+z5uSJ5dO6Yd31bI= 2Hm63Zooryommzi0V/szdqniOfTERzPHn4eDbL0bpw6QdMr3HibvvYWLeuTFqq/m3LNN3iZiZoo= t0zEUxMTHdH1PI9jarkeG5WD0j7J6MLtOq9IGlYesXdXpqt6hm3671qLE2uPBc3LVUxVNVMzx1f= v8z07B3Fp+kbJ0nVNzbg06nwuHZm7m1XIotZFybcTNVHMRzFU8zEREdnmgHZB1XTekXY+pVZFOB= uXAyJxsevJvRRXM9S1RHNVc9ndEPmp6VejqqqKY3fpfMzx23Jj/kDuY+LK1fS8XSf5WydRxLWn+= Di541Xdpi11Z7qutzxxPMPwNN6SNi6nqFjTsDc+n5GXfri3atUVzM11T3RHYDtg8p6LN1alas7l= 1DeG/ND1jBwq7c0V4nERiUzVXExc4tUds/Jj/O7pdlsdKXR5evUWqN36V1q54jrXurH889kA7iJ= TVTXTFVMxVTMcxMd0qAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAADy/wCE5+7G5/F2v+bqXwR+7c3/AA3/ALrtvwnP3Y3P4u1/XL= qXwRv2dzf8L/7r7Vr7sq+v+HxLv3jT9Hie5P8AKHUv4u7/AG5be9EP7sdv/wADR/U1C3J/lFqX8= Xd/ty296If3Zbf/AIGj+p6uNfYW/wB/Dz8H+3ufv5dD+GBjX7/Rfi3bVM1UY+qWrl3jzUzbuUxP= 4qoj73Yvg46jg53RFotvEv267mLbqs37dNUTVbriursqjzc9/wBku5bm0TT9x6Fl6LqtiL2Hl25= ouU88THniYnzTE8TE+mHgWb8GOvxu7Vp28PB48zzRTew5muI9EzFcRP28R9kPzb9G7V8MCf8Awt= xv9q2v7u68d6UMvJzNf2Fpl/TsnVMTH29p82sC1VVE5M1URNUR1YmeZ4insjn5L1ijoLyqejC9s= 6rc1mq7c1enUIyZxZ4iItdTqdXrffzz9z9je3Q1i7k0Lb1q1rN7Tta0TBs4lrOtW+YrptxHHNPW= iY7YmYmKuznzivP9sY2NOi7xrp6KMzaVdvbGfNObeuZExXPUiPB/4SIjmYmZ9PyX42wdibY1b4P= mvbozdPmvV8SMmbORF2uJp6lFM09kTxPb9T1HQeineGLa1bH1jpFzNWxtQ0vJwabN6m5VTRVdo6= sXOJrmJ47X6u0+jK/oXRJquxatYt37mfF+IyosTTFHhKYj9nrdvHHpEa769m5eR0NbD0i7l3KMK= /qGb4Tmrsjq3KIp/m8JXx9rZTbnQ/sHRM7C1LT9GqpzMOqm5avVZFyqrrR3VTHW45+516joP0/J= 6LsTZ+p6rNzKwsi7kY2fZs9WaJrntiaJmeae7mOY7o7YfPszoh3hoGv6Zm3ekjPzMDCvUVThzF2= mi5RT/mcTcmIjj6uAeadE2p6JpG0OkrL3Fg1ahp/hseivFprmnw1U3LvVp5ieYjrcdvoj7nXN3V= afnbOu52n9EWZodiuKLlrVqb+RctUUzVEd9VPVmKu7v75h7hoHQZbxNu7o0XUtc8Yt65ctXbdyz= j9SrHrt1VVUzxNU9btqj0d0+l+Fe6BN23dH/kW50l5NemRTFEYlVi5NrqxMTEdXwnHETEcfYD0n= oAy8jN6H9u5GVdqu3IxqrfWq7+rRcqopj7qaYj7ne3XOjPbde0Nkadty5l05dWFTXTN6mjqRX1q= 6qu7meP2uHYwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAeX/Cc/djc/i7X9cupfBH/AGdzf8L/AO67b8Jz92Nz+Ltf1y6l8Ef9n= c3/AA3/ALr7Vr7sq+v+HxL33lT9Hie5P8otS/i7v9uW3vRD+7Hb/wDA0f1NQtyf5Q6l/F3f7ctv= OiGf/DHb38DR/U9XGvsLf7+Hn4P9vc/fy7NnV1W8DIuUTxVTaqmJ9ExDVLYm6OnPe3js7d12rIj= Cqoi914x7fV6/W6v7VMc/sy2r1P8AxZlf6mv+zLX34Fn/AJW7P9Zi/wBV5+bfo4fNsTpR37t3pK= s7Q6RqvC05N2ixVNy3RFdmqv8AYrpqojiqiZmOe/7uJeoba1nduT0raxpeoZej16FZornFtWL9q= rJpmJp469EVdaI7Z74jzPFfhN128zp10jGwZivJoxsWzXFM9sXJvVzEfbxVT/PD7sXUcnSOnLpL= 1PDq6uTi6TmXbVXHPFcRb4nj6pBsVnbk2/p+TVjZ+u6Xi3qe+3ey6KKo+2Jnl1rpG3RmfE69n7G= 1nQr+ZayLdFV29mWvA0xPPMTVNUUxPojl4r0KdFW3977JzN0biy9QyM25lXojwd+Kf2YieapmJm= apmZnnn0OmaHER8H/c9Md0a3iR/wCmoHs/TdvzXdv9F+3snA17Dxdx5FePVmU4tdq51qarNc11U= x2xNE1xHFUdnd2vS9qbq0jM2liajka7p1ybWJYqzbvjNHFquumP25ieKZmrmO3jta9dN+29Lt9C= +yN1027n8qXMPAwaq+vPV8F4tXXx1e7nmO93bL2z0d7G6FcnM1TEzq8PW8bCqy7Nq/M3L92ni5R= TRM9lPbNUz9UT9gPXMfde2Mm/RYxtxaReu1zxTRRmW6qqp9ERE9rzLpX3duLSOmnZ+habqdzH03= Pmz4zYiimYuda9NM8zMcx2dnZLwLeU7Mu7fjJ27s3cek3+vTVby8nIm5Zqp9Hd5+Y4mJ9DvWtZu= VqO/uh/Nzb1V/Iu4GFNy5VPNVc+GmOZnzzPpBtTAQAAAAAAAD8PfG4MbbW28rVL/wAqqinq2aP9= O5P7Mf8AOfqiXgHlU33zP/xqI+rxWz7gNmxrJ5VN9+u49ks+4eVTffruPZLPuLgbNjWTyqb79dx= 7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/Xcey= WfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTff= ruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367= j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyq= b79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+= /XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsay= eVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHl= U3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbN= jWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9= w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcM= DZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZ= LPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz= 7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79d= x7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNgIAAAAPL/hOfuxufxdr+uXS= fgp52FiVbioyszHsVXZxvBxduxTNXHheeOe/vh7zq+mafq2L4pqeFj5mP1oqm3eoiqnmO6eJfkV= bE2ZMdu19In/AISj9Hvt6ymnTTYmO85y+dd0lVWpi9E9vhrruLok31d1LNzsTSrWXYu37lymbWV= b5mmapmOyZh6F0e9It3auiYW3t57c1TR7WHbps282rHrm3VEeers7Pu5ek2NlbYxuZw9IsYcz3z= i1VWZ/nomJc8bdtW4mnG1LU7duqOKrdzInIoqj0cXet2fZw6XuIc+iKLsZiP0Ys6CbNc125xMvt= sZeJrGj13tOy7GTZv2qot3bdcVUzzHHfDWvTPg/9JGmzd/k3dmmYXhJia/F8zIt9bjnjnq0Rzxz= P873jE2dj6ZkXM3Rb9Om5NUzM02LfVsXezs8Ja56sz/81PVn63Z8abk2om7TTTc4+VFM8xz9T51= WM+z6VE1Y93h3RZ0E39A3RZ3LurWLWpZuPc8LZs2Yqqo8J5q6q6+2qY74jiO2Inme5+3onRdnWe= ljc259Uv4ORpGtY17H8Woqr8L1bnU5ir5MRHZTPdPnetJMcstNVq9nZ+1bmda2X0y6BjaZc5uV2= bupRbrniJ7Jpp60TPHZzHHPofN0PbM1Pe/Q9uLR9Ov41i7d1excpu5E1RRPUo5qj5MTPPyo8z2S= voG6Na7lVyrRsiaqp5n/AL7e7/xO97b0DSNt6Ta0nRMG1hYdrnq26OZ5nzzMz2zP1zMyK6HvXoz= ydzdD2jbNuZ9jH1DS7ONNF6Imq1VdtWptzE9kT1Ziqrt457ux1ux0R7y1Xo+z9r7t3VjZUW6sev= SK7XWuU4824rpmmrmmmZiYqpjvmY4+rt7rujU83P3nZ0rCuX7GNptrwmfNNVdEVTdpmLcxNMTz1= erNXFUxEzMejs65rd/eutZ1i9GHrODHgZt0049FVvwXhOrz1p5+XVT16O2eI5t3PNPLtRYmr5ee= q/jtDquq9EfTBqm3adu5+9tIyNLt00UU49ddziIo46kcxa57OI879+50Sa/Xruws/wAf0zwe3Mb= Hs5Udevm5Nu5NUzR8ntjifPw7Bcyt5YOhYFjBwL1zxm1NNyK4u1XLHWimmOZqmaoqpmvv7qot1T= ERzD6NG1HdOu61gWNS0vK0/CouU5VdUW6rfbFuKvBVVTPyoiq5THPEczbq7OJ7HJnGcrzo7YeiU= qlKuLsAAAAJVPCuidM27I25tmbGLd6uo5vNux1Z4qt0/wCdX90dkfXMegHlXTduyNwbknT8S51s= DT5mimY7q7ndVV/RxH2c+d5+faKACgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAADdABkAAAADgAODgAOCIiO4AAAAAfLXp2Bczac65hY9WVTTFNN6bUT= XERPPEVd/D6erT6FBMJ1Y9BFMQoKAAAAATPAOLMyLGLi3cnIuU27Vqia66qp7KaYjmZaqdIG5L2= 6dzZGp1zVFjnqY1uf8AMtx3R9s98/XL0/4Qe6/A41G18K5/hL0RczJj/No76aPv75+qI9LxBYAB= QAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABugAy= AAAAAAAAAAAAAAAAAAAAAADG5+yANXemD94+sf62n+xS6mCgAoAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//9k=3D" width=3D"793" height= =3D"1121" alt=3D"" style=3D"margin-left:-1pt; position:absolute" /><= span style=3D"height:0pt; display:block; position:absolute; z-index:25"><im= g src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= H/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBA= QEBAQEBAQEBAQEBAQH/wAARCAAbAE0DASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAABwUG= CAkKAgT/xAApEAABBAMAAQQCAgIDAAAAAAAFAwQGBwECCAkREhMUABUKFiEiGCUy/8QAFwEAAwE= AAAAAAAAAAAAAAAAAAAECA//EACkRAQACAAYBAwMFAQAAAAAAAAECEQASITFBUQNxkfATImEyga= HB8dH/2gAMAwEAAhEDEQA/ALAbx6gFUHCruua3rKsFMMDvK/BjZu2mcwdmDZDW+LBBRGGRYS3M6= bOyDrRuPBR8MxTTQatUEUk9Go5nvujzW3N/m+6DizK0o6FqbmeLnGqRiK1tedm26ftJ0HdJ4cMN= Zg3jZduPhxR033S3cDFMvXg7ffZF4gi4TUQ1DjUFHp95X/HtX1jtGj+vMdg+QCyRAYpjTcPIbgr= E/dUprRB6grn4FnkcMMk5QE13122/asENE9d9lM6ZcD3yLdzI0R2hNAl83CT7Urt/ZDeV8go8yO= CkS5trYN0fXsL2s8JJW8FS+6+iVIF5XN443LyCQNp+mOeGmjF21EKI75QhG5S1Va1V6/c29TGEP= GOaaqynLmVVZ0n5DeivTHcTv/oqsb6R5H7biswo6/zAR/JqzMArSmcgqO9I6I2/7l9WUpWKtt1i= oVPbRcvGSCSRhmh7190fj11yoSWJnproe4bApHmWTvI8ypSLBZX0HfVjy+ekINWmZQyfFYrBQQN= jJWDmY2KcCMFpAuLw/Yj4+Eci3pV3osWHN1mF5GZrA7Y8aNMXvGulpv1VN6i8idFo863tPapzVU= rLE5OeZx2YQmOqpxeHpS6OrRAhJ3hMoNE5HkHUc0YPfsPY5ndB78/T6q4QO8jXAnQBpKuMd1OJV= cHPFklXbIKIs0zJaNhVYyylxUkKbIimtiRArWwwuCjT9ym5PBZfs5EJqrNXSP4EIxnu/cLlWyzL= w+51V+k/SieWm0lBlWaVWINFrrduv8XgftJJ1jV1HVv1jM7KK3NyzOZElFJjJGidg1PbVEE3koV= iI0xY0FdziRMlYo8K/RWXfJP2bwWFLhzLhtuye/Lp4Zl0nI5b0Xjk+sOi67qGaBq2dW9Zln37c8= hDRWBwJogs9xkPH1pgJfTGSKjGrs45HNXrVsGjzfcyTX0bKoZ3APKsIiPEfgmeePSS5Jp9w972b= cZUnz2SeiSk4rlmYsJhVyNlyEKIcO14pXounKlhk+SOG9m6T82a2RGLrOHCLNKQEAhXKzqy+v8A= mbsOrqIlqnW4qt57yjL+icaAa4K27X1QDKoJVgpZSOiJuEyfdyAFycQmDKMCxYWXL6CcPXbdZv8= AhljnC6qN5RDkD8/7d4bCB5IRuhtY5mmq4sdSzfbCGPuO44dSy/W4XqSOdh8fxmfK17c9h1i9sW= Bz2jHO0n/q7SdyOJuZiabG63cOXIo8qTaKtSDWEGB0ty2WH7OstyXOLWuKVTKa11T1hsYKIp6t0= 7h6S6LuGxZ3pU9BVw51eKBnBFgOkCL+Uy6TpCyboJH2jlsjoOYOHzt1jZRk2dxFuvPcPOXJ9wcq= Z6Fqo4968aTzmioPHdI5Nv0TYcBqGVR4hUhu3x12JZZy6PxCFi/t2XGSVgJEhI6JtI4D2cInd8M= 2xUBs4PXAHsnjW3Fa70U7RgNGlucZbeshMwqoLJtujGIRq7o2cT8SQFbxM0fzFhRuItXxRFscWI= k09ESe7RYU/piZxXcdO6y+9b/5gfH4zyRjdXGX25nVMtCK8Mni67MeOM9GWI3gkxvSuevYx2vR1= Rrx9XohjBGVzUzdlHxOULKIjLWVgM2O4cS2tNMprOnZVog2zqIbuSLN07+i7R10HeLWVGpMn0u1= eSo/IwY6wK9fRz9wfJyBJk2PVXHXbvIpwYdPlWrIhugi+2bNlE2m7lRd5hHDh04VVoL6GmthjrX= 6E6Cv2CVXTF59F8AN/HFzHxTVNsxa47Cswkdlw6SnbqmOYcq5YgK6r9qL1RZHjCnwiophdu9eNy= WGg97dz4co+tE490FFnK/2nEbNUkBXc+u2cOFxFKxwestrnbGNs6qqN9t9c5xjOdc49cev4yo+S= KB+mWxVbb12aGnBi4wgebxxrRjNYqpplRpdxd8YfLn8j7Cddx9D8v29KRnOz6hO4b8kfLPUcc0d= fs6pt6HdDT4jGy01TWV2bLRQ5ursHkGc4SHJs1vcV1wOwuu31HVX51OrYRChQK+vHVP7qm2g9m3= Y2/ypOIJKams7OqOmjWTN9Cb5uTiTQtrjV2okRw4bMsLb6Jb7I667Zx8d28w0aZ7f7IMEoP8AYI= leqehCRBxiSy9D7D19bcudOl/hbn0kEsquFVFPjRSTS093tT000xrrgZxSFMYAJ3AweR2dEAm+m= +mREbuO2gw3Gu+ce/2MR81QbJ529c+uyaeu2fXP+fxhW2h13t3eKp3jVNNN6e3Zv+e8XG+VDyg2= VLJXAL769GQytlqaIPpVyF4+4zLh01Oa2a7HOBjG8egzwPfA9vvFxzp6lHGDVPVBsu9dNhqi7h0= R11hBzj5KeufJO9sWn1Kh5OKB4dCmE7NCrXjsvPAiiT2ewyuhDFiPFi5KvkqtI5yFxo6UZoIMmm= rt2q8SwjjXeAZfmelz5B0XOxUiaKvVdlnhMtN58RIO1tv/AEq5ePJQs4XU29Meu6qm22fT/Ofwl= 0/AYzRBY6cqJEvBS0kCpRw29ESmU7KkAyRoVI27RXD0y7T02ZyAAENMXSOiTxgUFMXzNwg5bpqa= jEUUFNn5898GSK5pBKXb1pxtxg82F3r0B4843AZZG6E4fizS/GDyRQzepB7/AAamMIDNxjF9MCm= G6LMkOBDZ3tKaq3YSDdkUTsOs7FD6CsJRvd85enP3ks7b8kGLCqePUFyzPUYtHBUmMwuxGBR63P= jnskGR5XUGLeakUipQQkRWPOWaOmj79KLKOGOrhyho2VhXMaSrifN4k0mYkxJW8Fj5CLRBMtNJu= 6wAjxWay6xiQphtvI/fo1fTmeTGUOdd9t91S8iJudt85X9NV2rawiNMF8yKqdJJADuXgF/+3jE6= nQx/h5GTjORgXGrlCSYV1UFnB7Mk1zrtj2uW+mdsba+7XM5IXeUvv56YX0vHd5I2c1rx/wAMSGs= LvK7PHu2RUjlJ8PRGeHcif7fC6wikxHTAGIkYnSSwwgfOLR8WDKDpJHV2RtmzDyQquLSetUCrNg= 9wogi4OffK71p5AJHKqKWqrlR8xRhD+Yv4/ZwaSn2EqQHHY6CRj0aiTBnITEvlaz6SsyDYIEDvi= qQQaeON0FEwy+uY6WHG2VsRYDCbHISqYxWNkHhIMGNTeZuG7R883Wyo4331P6OHe6WrhdFlh6s5= 1GtllGo/Vq23yllCqisIZSZ97J6sYk4abJiVQBJ4NlEqW1IB1iA0v9B60fmnjJ0igYDhzLLK7ZT= dgZECy7HduRHM3KLyR00NNTDfHBczEs0Hn5pg6T7ubp3x5x+qLAZ8gcm1mn0FGjhYUQhMLNBjaG= I0WQYkYrJ13TMWSYlUGD2OSNQFsptq2ESEGq8SbPt1WrfXr/Fu67nvbvPHWd12GHj8dkX/ACIAR= HZhGk3Wo3LIDUkNWar41drKrYXUySVwr/v7c4109uMemfXFvacXZ3SNbjLaMTexB7A44kg9nLbG= sA0gNNvhYwG+IDU3kmUwOVfCw4tq+0ZfAi8+g2WcpKuEtVfzZ5/FUraF1lyF0YLhAbIRiR6Ry/e= IYJFiXzO8VjBm+FflLP36yfoiknp8aSmiX+vu9nvzttkyR3ovDIRi5gpqr5r+sf/Z" width=3D= "77" height=3D"27" alt=3D"" style=3D"margin-left:441.05pt; position:absolut= e" /><svg font-family=3D"Times New Roman" font-size=3D"16" hei= ght=3D"41.33" version=3D"1.1" width=3D"209.31" xmlns=3D"http://www.w3.org/2= 000/svg" style=3D"width:209.31px; height:41.33px; font-family:'Times New Ro= man'; font-size:16px" xmlns:xlink=3D"http://www.w3.org/1999/xlink"><defs />= <g><g><path d=3D"M0,0 L209,0 L209,0 L209,41 L209,41 L0,41 Z" fill=3D"#7c7c7= c" fill-rule=3D"evenodd" /></g></g></svg><a h= ref=3D"http://www.anatomiadigital.org/" style=3D"text-decoration:none"><spa= n class=3D"awspan" style=3D"font-family:Ebrima; font-size:11pt; text-decora= tion:underline; letter-spacing:-0.1pt; color:#ffffff">www.anatomiadigital.o= rg</a>ISSN: 2697-3391<s= pan class=3D"awspan" style=3D"color:#ffffff">Vol. 8 No. 2= .1, pp.<span= class=3D"awspan" style=3D"letter-spacing:-0.2pt; color:#ffffff"> <s= pan class=3D"awspan" style=3D"color:#ffffff">19 =E2=80=93 33, abril -</spa= n> </= span>mayo 2025 Revista en ciencias m=C3=A9dica= s, salud p=C3=BAblica Art=C3=ADculo de revisi=C3=B3n bibliogr=C3=A1fica.</s= pan>inicialmente.<span= class=3D"awspan" style=3D"letter-spacing:-0.6pt"> En </sp= an>contraste, Bansal et = al. (1), demuest= ran <s= pan class=3D"awspan">que, a pesar<= span class=3D"awspan" style=3D"letter-spacing:-0.6pt"> de que una gran </span= >parte de los paci= entes = presenta resultados normales </= span>en pruebas = de <sp= an class=3D"awspan">otoemisiones ac=C3=BAsticas,<sp= an class=3D"awspan" style=3D"letter-spacing:0.75pt"> un grupo significativo desarrolla p=C3=A9rdida auditiva leve o mode= rada tras un TCE. (1,15).Mientras <= /span>que Penn et<= /span> al. (15) se centran = en los meca= nismos </span= >celulares del da= =C3=B1o </spa= n>auditivo, Bansal et al. </spa= n>(1) destacan que= <span= class=3D"awspan">muchos pacientes con</s= pan> TCE leve presentan<= span class=3D"awspan" style=3D"letter-spacing:2.95pt"> p=C3=A9rdidas auditivas recuperables.<s= pan class=3D"awspan" style=3D"letter-spacing:0.95pt"> Esto= indica que, aunque </sp= an>el da=C3=B1o = neuronal </sp= an>sea un aspecto<= /span> clave, tambi=C3=A9n es crucial </s= pan>considerar el potencial = de recuperaci=C3=B3n= en los pacientes.<sp= an class=3D"awspan" style=3D"letter-spacing:-0.25pt"> Por= otro lado, Clifford= y= Ryan (16) = vinculan </sp= an>al TCE con</spa= n> una alta incidencia= de tinnitus y p=C3=A9rdida auditiva, un aspecto</span= > no abordado por Penn </sp= an>et al. lo</span= > que a=C3=B1ade otra<sp= an class=3D"awspan" style=3D"letter-spacing:2.15pt"> dimensi=C3=B3n a las complicacion= es auditivas post-TCE.(1,15,16).La= evaluaci=C3=B3n y<spa= n class=3D"awspan" style=3D"letter-spacing:0.7pt"> diagn=C3=B3stico de la hipoacusia <= /span>en pacientes c= on <spa= n class=3D"awspan">trauma craneoencef=C3=A1lico (TCE)</span= > es= crucial para abordar </= span>adecuadamente las complicaciones auditivas. Por<s= pan class=3D"awspan" style=3D"letter-spacing:0.15pt"> un </= span>lado, el estudio de <s= pan class=3D"awspan">Bansal et al.<s= pan class=3D"awspan" style=3D"letter-spacing:0.2pt"> (1) </= span>destaca la util= idad <s= pan class=3D"awspan">de la audiometr=C3=ADa= de tonos puros<span= class=3D"awspan" style=3D"letter-spacing:0.2pt"> (PTA) como herramienta inicial</span= > en la evaluaci=C3=B3n<= span class=3D"awspan" style=3D"letter-spacing:2.25pt"> de la hipoacusia,<span= class=3D"awspan" style=3D"letter-spacing:2.25pt"> aunque = subraya que las otoemisiones ac=C3=BAsticas por</spa= n> productos de distorsi=C3=B3n= <span= class=3D"awspan">(DpOAE) son m=C3=A1s</s= pan> confiables en el seguimien= to, <s= pan class=3D"awspan">especialmente para = p=C3=A9rdidas= auditivas superiores= a= 30 Db, est= o <spa= n class=3D"awspan">es especialmente relevante en <= span class=3D"awspan">pacientes poco cooper= ativos = o inconscientes, y= a <span= class=3D"awspan">que la DpOAE reduce la cantidad de falsos= positivos y negativos. (1).En </sp= an>contraste, la = investigaci=C3=B3n de Clifford<s= pan class=3D"awspan" style=3D"letter-spacing:1.85pt"> y </= span>Ryan (16) enf= atiza = la importancia de<= /span> los antecedentes de expo= sici=C3=B3n, = como el rui= do <sp= an class=3D"awspan">en combate y<s= pan class=3D"awspan" style=3D"letter-spacing:4.15pt"> las = lesiones cerebrales traum= =C3=A1ticas, = como factores iniciales = para determinar la </spa= n>presencia de tin= nitus = y p=C3=A9rdida auditiva<span= class=3D"awspan" style=3D"letter-spacing:0.15pt"> a </span= >largo plazo. Al</s= pan> igual que Bansal<spa= n class=3D"awspan" style=3D"letter-spacing:0.15pt"> et </sp= an>al. (1) utilizan= el audiograma como</span= > prueba complementaria para = estratificar = la p=C3=A9rdida auditiva, pero enfatizan<span= class=3D"awspan" style=3D"letter-spacing:0.25pt"> que </s= pan>la evaluaci=C3=B3n de antecedentes debe ser prioritaria antes de realizar pruebas diagn=C3= =B3sticas. (1,16).La</= span> hipoacusia relacionada con</= span> el trauma craneoencef=C3=A1= lico <= span class=3D"awspan">(TCE) requiere un</sp= an> enfoque de tratamiento que</s= pan> integre diagn=C3=B3sticos = precisos </sp= an>y estrategias = de <sp= an class=3D"awspan">intervenci=C3=B3n adecuadas.<sp= an class=3D"awspan" style=3D"letter-spacing:-0.6pt"> Por un lado, el = estudio </spa= n>de Bansal et</sp= an> al. (1) sugiere<sp= an class=3D"awspan" style=3D"letter-spacing:0.45pt"> que <= /span>la rehabilitaci=C3=B3n= temprana es crucial, especial= mente = para aquellos paci= entes = que presentan una<= /span> p=C3=A9rdida auditiva = superior </sp= an>a 30 dB. Este<= /span> <span= class=3D"awspan">umbral se asocia= con la necesidad<span= class=3D"awspan" style=3D"letter-spacing:-0.15pt"> de </s= pan>intervenciones m=C3=A1s<= span class=3D"awspan" style=3D"letter-spacing:-0.2pt"> intensivas para mitigar comp= licaciones </s= pan>a largo plazo.= Adem=C3=A1s, destacan la</= span> importancia de utilizar</sp= an> la otoemisi=C3=B3n ac=C3=BAstica por </span= >productos de distor= si=C3=B3n </sp= an>(DpOAE) como una<= /span> herramienta confiable en</s= pan> el seguimiento, lo que permite ajustar el tratamiento basado = en datos objetivos. (1).En <= span class=3D"awspan">contraste, Clifford & </span= >Ryan (16) enfati= zan <s= pan class=3D"awspan">la relevancia de</= span> analizar los anteceden= tes <= span class=3D"awspan">de exposici=C3=B3n a = factores </spa= n>como el ruido</spa= n> en= combate y = lesiones </spa= n>traum=C3=A1ticas. Aunque<sp= an class=3D"awspan" style=3D"letter-spacing:2.4pt"> no proponen un tratamiento<sp= an class=3D"awspan" style=3D"letter-spacing:3.6pt"> espec=C3=ADfico, su investigaci=C3= =B3n <s= pan class=3D"awspan">indica que comprender<= /span> estos antecedentes es fundament= al para predecir la evoluci=C3=B3n = de la hipoacusia<= /span> y = el riesgo de desa= rrollar </span= >tinnitus. Esto = implica </spa= n>que, antes de</sp= an> iniciar un tratamiento,</spa= n> se deben evaluar<s= pan class=3D"awspan" style=3D"font-size:8pt; font-style:italic">Esta= revista est=C3=A1 </sp= an>proteg= ida bajo una </s= pan>licen= cia Creative Commons en la 4.0 </spa= n>Interna= tional. Copia de la licencia: <a href=3D"http://cr= eativecommons.org/licenses/by-nc-sa/4.0/" style=3D"text-decoration:none"></= a><a href=3D"http://creative= commons.org/licenses/by-nc-sa/4.0/" style=3D"text-decoration:none">http://creativecommons.org/licenses/by-nc-sa/4= .0/</a>D<= /span> i a g n <s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#f= fffff">=C3=B3 s</spa= n> t i </= span>c o<= /span> M =C3=A9 d i</sp= an> c oP<= /span> =C3=A1 g i <sp= an class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-sp= acing:0.5pt; color:#ffffff">n </spa= n>a 28 |</s= pan> 33<img src=3D"data:image/jpeg;base64,/9j/4AAQ= SkZJRgABAQEAYABgAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFhw= XExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh= 4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCARhAxkDASIAAhEBA= xEB/8QAHAABAQACAwEBAAAAAAAAAAAAAAECCAMGBwQF/8QAWBABAAEDAwAECAsDBgsGAwkAAAEC= AwQFBhEHEiExExQXQVFVlNIIFiJUVmFxgZKT0TI3dBWRobGysyM1NkJSc3WChMHTGCQnM6LDJWJ= yJkNFRmOjwuHw/8QAGwEBAQEBAQEBAQAAAAAAAAAAAAECAwQFBgf/xAA1EQEAAQMCBQMBBgUEAw= AAAAAAAQIDEQRSBRMUMZESIUFxMzVRYYHwFSJCodEGIzKxNMHh/9oADAMBAAIRAxEAPwDpoD+lP= xQANEosoAAECSqSLKAKgAkkJPeE94pIACT3Is9yAABAkqkiysBAIkosoKkrHckrHcqACCSEiwAC= glXmVKvMCEhIIAKAJJAAQsJKLKKSACD9HDteCt8z+1V2y+XCtde51qo+TT/W/RYmWK5+BjPeyYz= 3sswANKAAJKpIAAADIAKgAqsZCQPgAlCEqnsYkiNQkosoKMZ7e1ap8zGGKpy1TAksuWNTDeQFpj= sIgmQWYRqUhJ7wnvAAASUVBRJUnu5QYVT5mE9yzPM8pPc5z7ukIkwqpgliLKfZ2osLTT1qo9Dk+= 5KY6sfWy5daacQ5VVe76AHocAAaJRZQAAIElUkhZQBUB9uBpebm4OdnY9masbAt03Mi5PZFMVVR= TTH2zM931T6Hb+jros17fGi3tV0vO02xZs5E4805FdcVTVFNNUzHVpmOPlR/S897VWrNM1VziOz= rbs13JxTDoU96PY5+DxvD1tof5t3/AKZ/2eN3+ttD/Nu/9N5f4tpN7t0N/a8cOXreV8H/AHxZpm= bWTo2R6KaMiuJn8VEQ6JuzZe59rXONc0jIxrfPEXojr2pnzcV08xz9XPLva12nvTiiuJlzr0123= GaqXX57kWe5HrcAAIElUkVYAESUWU5gWElY7klY7lQAQSQkWAAUEq8ypV5gQkJBABQBJIACFhJR= ZRSRaYmqqKYjmZ7kfZgWv/vao+qlJnDMziH02aIt24pjzd7MHNyGM97JjPeLAA0oAAkqkgAAAMg= AqACqxkJA+BJWUSSElJhkiNMZRlLCe/hJnCwkx28oyYzDm3EiSqSKR3s0pjiFVBOFFGEwMp704B= AQCUVEX4GFc89jKZ4hxpVKwhCjnhtAEBaKeZ59COWmOIappzOSZSUZVMeJdXPD6QHVxABolFlAA= AgSVSSFlHPp2HlajqGPgYVmq/k5FyLdq3T31VTPEQ4GxXwZ9gzh4kby1SzHh8imY0+irvotz2Tc= +qau6Pq+15Nfq6dLamue/wAO+msTfuRTD6N57OxdlfB71LTbc03MqvwNzLvRH/mXJuUc9v8Aox3= R/wD3L7fgm/u6zv8Aa1z+6tP3/hDTHkk1iP8AVf3tL8D4Jv7us7/a1z+6tPy1Vyq5oaqqu81f+n= 26aIo1VNMfg9T1vVcDRdMvanqeTTjYlmIm5dqiZinmYiO765h1WOljo9nj/wC02L+Cv3XF0/8A7= pNc/wBXb/vaGnTpwzhlGstzVVMxiWdbra7FcU0w3m0Ddm29fqmjR9bwc2umOardq9E1xHpmnv4+= 5+nnYuNnYl3GzLFvIx7tM03LdymKqao9ExPe0MxMnIw8q3lYl65Yv2qoqt3LdXVqpmO6Yluf0S7= hvbo6P9L1fJqpqyq7c28iYjjm5RVNMzx5ueOfvcuI8MnR4rpnMNaTWRqM01R7tcOnfYNGy9ft39= Opq/kjP5qsRM8zarj9qiZ9HbEx9U/VMvN23PwktMtZ/RVnXqrcVXMK7ayLc+emetFM/wDpqlqfp= UzTqeLNNm1fmL1HFu9zNFfyo7KuO3ifPw/QcJ1VV/TZq7x7Pl66zFu9iO0vedP6O8Kvoyo29XoV= VWu5GlVanGp+Kz1aLvXiqjH8Jx2VdXsmOfNM+d0jb3Rxo2dtjb+rapum9p97XMivGxrNOnzdiLk= XJoiJqiuO/iPNHe9Kubc6b691U6/Tq2k0RExP8n05t6MTiKerx4P0T39/f2vl1HY3ShmWtIteKb= UsW9J1CvPxrdm7dinwlVybk0zz/m8zMREcdnnfJt6qujMc2Pec9/r7f9PbVYpn+ifb2dH0Dojrz= 8/VsHLz9Qt3NPz6sTwuPp/hbVcRETFXWmunie3mae3jsfp6T0c7Z0zTd9YW48+u5l6NNiLeXasV= T4CiunrU3IoiviqaueJpnu6vf2ubeWsdJG0IzLm5Ns6Jm6fnZ3jkVXLNV6xavcRT8maa4mn7Kvr= 4878nae6N+7n3BuTU9I21pesRqduxTqWHctc2OKKerbmIqrie6mrzz5/q49M16u7RNfrj0+3aY/= JyxZomKfT7vjwejrQ6NO0S/rW6b2De1+5VTptu3gzcjq9aIoruT1o463NPZ5ut9U8fTp3RRh0xk= U63uSvBu29bjR7UWcKbsXblUUzRVz1o4iet9z5r2+Nz7UvWdC1vbeiXcrSrs3cOnMx+vXhTX8uI= ommrjiOYmO/js9Ecfi0dIm4PFqbV+nEya41mjWartyietXfpiOIniYjqdndERPomHoijX1xmmr2= +sf2/RxmrTU94di3H0V4Gn2cy5p25pz69O1CxhZ1m5gzamibtVMRMT1pir9qP1fqal0c0a/u/Ws= Oa68K1pVy3i0fyZpEeBqiaIq5nm5z1uZ7eZqn6+50zL6SNcyKtXm5i6fH8rZtnMv8AFuv5NdqYm= mKfldkT1Y555+52La28d87o1DW7OnbY0fXIzr1Gbk4l6zM27VcUxRFVPNcT3RHfM/c5XLeuop9V= VXb5zHzhuivTVTiI7uldI21ruzt15GhXcujL8FTRXRepo6nWpqjmPk8zxP3y69Hc7V0sZu4s/eV= +/ujTLGnal4K3TVYsxxTTTFPyZ/aq831v1dS6JN1afs+rdF+5p04NONTkzFN6qa+pVETHZ1e/tj= zvqWtTTRao51UZn+7x12Zqrq9Ee0OgAPY86SEuy9H+ydY3vn5OFo1eLTdx7UXa/D3Jpjjnjs4iW= Ll2i1TNVc4iG6KKq5imnu60P2d6ba1HaWv3dF1WbE5NqimqqbNc1U8VRzHbMR6X4zVFdNymKqZz= Es1UzTOJEq8ypV5m0QkJBABQBJIACFhJRZRRnZom7ciiPv8AsfqUxFNMUx2RHY4cK14O11pj5VT= nYqlyqnMgDLIxnvZMZ7xYAGlAAElUkAAABkAFQAVWMhJIfCSIqSsAIglUsOGVU9qcszLpEIKkwi= pwcKSQSACZABUnvRZ70CA4AVEmGTGqeIQYVT2sPOySYYlqEARUAjtngwZZW457XIkRxHBzx3ukR= hMkosoqPoAdXAAGiUWUAACBJV9eiaXm61q+LpWnWpu5WTci3bpj0z559ER2zM+aIZqqimJqntDU= RMziHcOhLYte9N00+M0VRpOFMXMuru6/+jbifTV/VE/U2+tWrdm1TatUxRboiKaaaY4imI7oh1/= o72rh7P2xjaNh/Kmj5d+757tyf2qv+UeiIiHYrlNU0TFM8Tx2TL8NxHWzqr2fiOz9NpNPFi3j5+= XgXwot60xTRsvAuc1VdW9n1R5o76Lf/wDKf93637/wTv3dZ/8Ata5/dWnUel3oks6Lt/Vt3X9w5= efmeEi7cpuWaaYrqrriJ7Yns/adu+Cb+7rP/wBrXP7q09t+bP8ADoi1Off3+rzWuZ1ea/wdl6f/= AN0euf8A0W/72hpy3F6f/wB0muR/8lv+9oadPof6f+xq+rycV+0j6Daj4LMV+TOvr89X+ULvU+z= q0f8APlq/p+Hl6jm2sLAx7uTk3qurbtW6Zqqqn7Ibo9Fm3Lm1th6Zo1+KPGLVua780zzHhKqpqq= 7fPxM8c/Ucfu08mKPnJwqieZNXw+bpr6kdFm4ev3eKTx9vMcf08NN9I/xrh/6+j+1Da34Smq2sD= oszMeqvi7nXbdi3T56vlRXP9FMtUtI/xrh/6+j+1DHA6ZjTVz++zXEpib9MN1OkvW8vbexdT1vA= ptV5OLaiq3F2JmiZmqI7YiY9PpeCYPwhN228u3XmabpF/HiqPCUUW66Kpjz8VdaeJ+viXtHTt+6= XX4//AEKf7dLTXlw4No7OotVTcpz7uuv1Fy1ciKJbx41ek732Xbu1Wqb+nariczRVxPEVR2xPoq= pn+aYeC9COl720ncm6tJ2xe0SL+Feox8urUKbkxV1a7kUzR1Psq7/qeudAGNkYnRHodvJoqorqo= uXaaZ/0a7tdVM/fExP3ut9C1dFzpV6SKqOOPHqI++K70T/S8NqqbVF63T7xH+Xprp9dVuqe/wD8= eI9MFjX73SZnY+s04l/V7k2aaqcCmubdUzbp6sUxV288cfe7BonQPvjUcSnIvzpunTV3Wsm9V1+= PTMUU1RH8/L0fRNLx874UOu5d+iK5wMK3dtRPmrm3bpif5pqfJ8InpF3HtjXMLRNAyacPrY0ZF6= 9FumqqrmqqIpjrRMRHyZ83n/n+nTrtRXy9PYxE4h4p01qn1XbucZdSn4PG8PWuh/m3f+mw6GdG3= noe/twaNt6/ok5+Ha8Fk15nhJtVRFcfsdWOe/08PSfg37p17dOjatf13UK825YyKKLc1UU09WJp= 54+TEPzeiT9/e/Ptq/vIcLur1E03bV6Yn0x+H5w60WLUTRXbzGXQt3bN3fvbpfztH1HK0W3q9vB= oyLldqblNiaIiiIiOYmrn5Uebh7zuHbObqPRZc2pZvY9OZVp1vFi5XM+D61NNMTPMRzx2eh4T06= 6/rG3OmnUM/RM65hZNWHZtTXRETM0zTTMx2x6Yj+Z7VurV9SxOhS5rePmXLeoxpVq9F+IiauvNN= MzV6O+ZcdVzposTGMe2Pq3Y9EVXInv8tcd49GGubW1nRtLz83Trt7V73gbFVmuuaaautTTzVzTH= ZzVHdy7THweN4T/+LaH+bd/6bote4t57x3BpVq5n5Oo6nZvx4hHVp5ormYnmOIjz0xPb2dj3HE2= f0212KK8jf+HYuT30RHW6v1c+DfT1Wo1Onppiq5TE/P7w8di1ZuzMxRMw803J0Gb20fTq8614hq= dNuOa7eJdqm5EeeYiqmOfsjmfqfvfBE/ys1r+Bp/tw9v6PdO3XpmlXsXdusY2rZHhetZvWqJpmK= OI+TV2R5+f53mvQvYtY3TnvqxZoii3TVc4pjujm7y8FXELmo0923cmJx8x9XqjS0WrtFdPtl5v8= Jj97Wd/D2P7EPNHpfwmP3s538PY/sQ80foeG/wDi2/o+Vq/tqvqJV5lSrzPc86EhIIAKAJJAAQs= JLmwrPhLvWq/Zp73DxM1RER2y/Ux7cWrUU+fzkzhmqcOSUWUc3IAAYz3smM94sADSgACSqSAAAA= yACoAKrGSe4knuRWKopCQMap4VjPektQhMAy2ncvIiC8dqSpKiAAAIMZ7xZ70FiQAUcVc81M654= jhxyzKgDOCEk4UGssWVuOO1IjmeHJDVMM1SANJCTCLKA+gB1cQAaJRZQAAIGy/wbtgxo+lRunVL= URqGbb/7tTVzzasz5+PTV3/Zx6Za36bk04efYy6sazkxarivwN6Jmivjt4q4mJmPveqf9oHedNM= U0adoNMRHZxj3ez/9x8rilrU36OXZj2nu92juWrVXruNit367iba25m61mz/gsW1NXHnrq7qaY+= uZ4j72ts9Pe+pqmYp0uI57I8WmeP8A1PwukDpQ3JvXTLOm6pRg2Ma1d8L1cW3XR16oiYjrc1TzE= cy6O8/D+D00UTOopiZddVxCqur/AGpxDv8Au3pc3ZubQcjRdSjA8VyOr1/B2Jpq7KoqjiefTEPY= Pgm/u7z/APatz+6stYHfOjzpS1/ZGi3dK0rD02/Zu5FWRVVkW65q600008fJqiOOKY8ztr+HxVp= +Xp6Yj3y56XVYveu7Pw251XTsHVcC7gali2srFu8eEtXaYqpq4nmOY+2Idfjo62LHExtTSPvxqX= hX/aF3l6r0L8m7/wBRJ+ELvH1ZoX5N3/qPiUcJ11PtT7fq+lVr9NV3/wCmxmj7f0LR5qnStIwcG= qqOKqrFimiZj0TMQ+nU8/D0zAu5ufk2sbGs09a5cu1RFNMfa1e1Hp731lWposRpWFP+lYxpmr/1= 1VR/Q6JubdW4ty3Yua5q+Vm9Xtporq4opn6qY4iP5nW3wLUXKs3Zx/dividqmP5Idn6cN/fHbcN= NOF16dJweaMaKo4m5M/tXJ+3iOI80fXMujaR/jXD/ANfR/ah889yUzNNUTTMxMTzEv01rT02bXK= o7PjV3ZuXPXU3t3TomHuPQMrRc+q5GLlURTcm1VxVxExPZPb6Hn2J0DbEsZNu7XGpZFNE8zbuZP= yavqniIn+lrHGu63651H2mv9Sdd1uY4nWNQ4/ia/wBXw7fBtTaiaaLuIn6vpVcQs1zmqjLb/pF3= pomw9uVVVXLEZFNnweFhUTHWrmI4piI81MdnM+aPuh5f8EnIu5Oqbqyci5VcvXfF67ldU9tVUzd= mZn75eBXbly7XNy7cruVz31VTzLlw87NwpqnDzMjH6/HW8Fdmjnju547/ADvRRwaKNPVbir+ar5= c6tfM3YrmPaPh7vqu7MXaPwmdTzNQueDwcqzaxr9fHMURVbtzFX3TTHP1TLvnST0caH0kU4eqWt= UnHyLdrqWsnH6t23ctzPMcxz2988TE+fztWtAxLu491abp2XmXfCZ+Vax6r9czXVT1qop57Z7eO= e76nvWJ0A3sSmacTfWfj0z5reP1f6rjx6yxb0tVExc9NcR+Dvp7tV6mqPRmmZd66Jdg29g6fm4l= vU69Q8bu03Jqqs+D6vEcccczy6Z0Sfv6359tX95DuWz9DwujXbOdd1jct/Ntzcm9cycuvq9WIp4= iimJmfRPd2zMtUtzbiydR3dq2t6ffycOM7KuXaYouTTV1JqmaYnifRw4aPT16uq7HqzmO/6uuou= 02Io9u3w7d8Jqf/ABZzf4ez/Yh77oWPg726GcLTreX1LWbpdvHruW+KptVxTETHHpiqO76mnWVk= ZGVem9k37t+5PfXcrmqr+eXLhZ2dhRPieZkY/Pf4K7VTz/NL69/hdVyxboirFVLwWtbFFyqqY9q= ntej7PwuiXpT21k6rrlrLx87w9vw04/gqbNXU6tMz8qrvmqI57OHq/SVtHWt114VzRt45uhU2Ka= orpsRM03eeOJnq1U9scT6e/wA3n09zc7NzerOZmZGTNHPV8Lcmvjn0cy5cfV9Wx7cWrGp5tq3T3= U0ZFVMR90S5XuF3rlVNya/5o/JujW26ImmKfafzbj9Ge1tX2thZljV9z5OvV37kV27l+Kom3ERx= xHWqqdB6If39b8/+qv8AvYa8TruueudR9qr/AFcFnUdQsZFzIs5+VbvXf/MuUXqoqq+2YnmWKOD= XMV+quM1R+DVXEKc04p7PQvhMfvazv4ex/Yh5o5MnJyMq9N7Kv3b92Y4mu5XNVU/fLjfa0tmbFm= m3M5w+deucy5NX4iVeZUq8z0OaEhIIAKAJJADK1RNy5FEechX0YFrmrwtUdkdz7UopimmKYjiIZ= MTOXGZzKSiyiIAAMZ72TGe8WABpQABJVJAAAAZABUASVVCQkVioiJCVSxWe1GZagFRFyEKiqEgg= gvCSNZABMJPeiygAJVJKsKu2eUZJLm2nCKAgcLTHM/UBTHHayU4dGEAFhJRZQR9ADo5AA0SiygA= AQJKpJCygCoAEkJPeE94EiKAk9yLPcgAAQJPcqSKytV127lNy3XVRXTMTTVTPExMeeJfb/LOr+t= c72iv9XwwMzRTV3giqY7ObMzMvLmmcrKv3+r3eFuTVx/O+dZRYpiOyzMz3SVjuSVjuaZAEEkJFg= kAUEq8ypV5gQkJBABQBJIR+hhWupb69UfKq/oh8uJa8Ld7f2Y7ZfpMzLFU/CgMsJKLKAAAMZ72T= Ge8WABpQABJVJAAAAZABUEmFFViSSSCMap8ysZ70lYQBGl8yLPciILxKMlViMphEVAAJRU4RYE4= UBjPYwZ1T5mPDMtQgJwirwxXkMCM6Y4hKI5llMLTBKcqxOWmMrKEgpKcKCOYc3imX82ufhk8Uy/= m9z8Ms9Ra3R5OTc2y4RzeKZXze5+E8Uyvm9z8J1FrdHlrk3NsuGUc84mV82ufhTxPK+bXPwnUWt= 0eU5NzbLhHN4nlfNrn4TxPK+bXPwnUWt0eVizc2y4Ulz+J5Xza5+FJw8v5td/CRqLW6PK8m5tlw= Dn8Ty/m1z8MniWX82u/hleotbo8pybm1wDn8Ty/m138MnieX83u/hlOotbo8kWbm2Xzz3jmnCy/= m138MnieX82u/hleotbo8nJubZcI5vE8v5td/DJ4nl/Nrv4ZOotbo8nJubXBPcjnnDy/m138Mni= WX82u/gk6i1ujycm5tlwDn8Syvm138EniWX82u/gk6i1ujyRZubXAkvo8Syvm138EpOFl/Nrv4J= Ootbo8rybm1wwOfxLK+bXfwSeJZXza7+CTqLW6PKcm5tl88o+icLL+bXfwSeJZfza7+CTqLW6PK= 8m5tfNKx3ObxLL+a3fwSsYWX82u/gleptbo8pybm1wD6PEsv5td/BKeJZfza7+GU6m1ujycm5tl= 88jnnCzPm178EniWZ81vfglY1NrdHlZs3NsuAc/iWX82vfhk8Sy/m178Er1FndHlOTc2y4EnzPo= 8Sy/m178Ek4OZ82vfgk6izujycm5tl8w+jxHM+bXvwSTg5nza9+CTqLW6PJybm2XzD6PEcz5re/= BKeI5nzW9+CTqLO6PK8m5tl869szxEczL9vTNobq1PG8Z07buqZdjrTT4S1jV1U8x3xzEP0sLo+= 3rFc117U1mOO7nDr/RidXYj+uPJybmP+Mvxce1Fq3FPn88uV2H4i70+iuseyV/ovxE3p9FtY9kr= /AEY6uxvjy5ci7tl10di+Iu9PotrHslf6HxE3p9FtY9kr/ROrsb48nIu7ZdclHY52JvT6Lax7JX= +ifETen0V1j2Sv9Dq7G+PJyLu2XXR2L4ib0+iuseyV/ofETen0V1j2Sv8AQ6uxvjyci5tl11j53= ZfiJvT6K6z7JX+jH4h71+ius+yV/odXY3x5WLFzbLrg7H8RN6/RXWfZK/0PiJvX6K6z7JX+jXV2= N8eV5FzbLrg7H8RN6/RXWfZK/wBD4ib1+ius+yV/onV2N8eTkXNsuuI7J8RN6/RXWfZK/wBE+Ie= 9forrPslf6L1djfHk5FzbLrg7H8Q96/RXWfY6/wBD4h71+ius+x1/onV2N8eTkXNsuuJy7J8Q96= /RXWfY6/0PiHvX6K6z7HX+h1djfHk5FzbLrg7H8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHlORc2= y64Ox/EPev0V1n2Ov8AQ+Ie9forrPslf6L1djfHk5FzbLrQ7J8Q96/RXWfY6/0Sdh71+ius+yV/= onV2N8eWuRc2y61PenDsnxD3r9FdY9kr/Q+Ie9forrHslf6HV2N8eTkXNsutTHZ2I7N8Qt6fRXW= PZK/0Sdh71+iuseyV/odVY3x5Xk3Nsut98I7J8Q96/RXWfZK/0T4hb1+ius+yV/odVY3x5OTc2y= 64yh2H4hb1+ius+yV/ofEPev0V1j2Sv9DqrG+PJybm2XXkl2P4ib0+iuseyV/oTsTen0V1j2Sv9= DqrG+PJybm2XWx2P4h70+ius+yV/ofEPekf/lbWPZK/0Oqs748rybm2XXB2L4ib0+i2seyV/ofE= Ten0V1j2Sv8AROqs748rFq5tl1ye9JniHZJ2JvT6K6x7JX+jjq2PvLnj4r6v7JX+h1VndHleTc2= y66OwfEfeP0Y1f2Sv9D4j7x+jGr+yV/ox1FrdHleTc2y6+xdi+JG8foxq/slf6J8R94/RjV/ZK/= 0Ootbo8nKubXXk4dh+JG8foxq/slf6M6NibzqjrRtbV5j+Er/Q6i1ujycq5tl1+I4jgl2P4ib0+= i2seyV/ok7E3p9FtY9kr/RrqbO6PJyrm2XW+xOHZPiJvX6K6x7JX+h8RN6fRXWPZK/0XqbO6PKc= m5tl1yCYdj+Im9PorrHslf6HxE3p9FtY9kr/AEOps7o8nJubZdbHY6tib0+iuseyV/onxF3p9Fd= Y9kr/AEOps7o8pybm2X6PAD8C/WgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD79v6Vla5r= WLpOHTzfybkUUzPdTHnqn6ojmZ+x8D3n4P20/ENKr3Hm25jJzKerjxPfTa/wBL7ap/oiPSg9G25= pGJoeiYulYVHVs49EUx6ap89U/XM8z979EiOBAAAAAAAAAAAAAAAAAAAAAAAAAcVc8yzrniOzvc= YJwjIBiLwgJMCgIkxyvADHjhO9mkwDHhGRwDDgZcJPcDivVdSjmO/wAz4/O5r1XXrmfNHZDjmBW= ExDGaWcwA4+IThyTDGY4US3RNdcUx53300xTEUxHEQ48S31aetMdsudFYpLLhBEJXhBMJwjJOBU= lOIZSgNRAGkAAAAAADl+1tbFx9Qp1PT68eLmVcw6rmHVH7VNy3MVzEfbRFcfbw7PG29OqysKIxa= JtaPdm1rU01TPhOra8NVM+jmabtv/dp88g8+OXctH0zS8/B03WrmNTRj4l3I/lK1RMxE00R4W3H= 1daJ8H/ux5zWNP0rS8bUNWoxaLuPlZdidNtXJnjwVVMXq/t4iaKJ+2QdNHoVe2NPs39QsXMejjV= btVGi1TVPyafBeGpmPTz17VH31eh1nc2HaxKMLDx8Oqi9i4VurOucT23bny+30cRVRT9sA/Dct+= xXZtWrlVdqqLtPWpii7TVMRzMcVRE80z2d08T53bNcr0jQ8qNCo23j5seL26qsu7cuReu1V24q6= 9E01dWKYmeyOrPZHa59O0HTM7L2xau0UWreRpt7JyO2qJvVW670xE9WJntiimPkxzx3RyDo47nu= CjbuVoGVkY06RayseqjwP8m2sziqJniabk3aer3czE8xPZL9CbG36922tq29vYtFrJot0VZc3Lk= 3qLldqKutT8rqxETPdxPPH1oPPHLTYrnFqyYrtdSmuKJpm5TFfMxM9lPPMx2d/HDsmLGnaNtfT9= Tu6NjapkZ927FVWVNfg7NNuYp6sRRVHyp55mZn0cQ4rmLh5e2NSzsbTYxrs6pYt2bfXmubdFVFy= epEz2zHMR39vZCjrZ//ALveh5ek6VXpuqadXjaFZzcDDru8Yd3IuZFuu3x1uvXMTant5iY5757H= 5moXNK0W7i6RG2cbUPCY1m5cyrly5F6/NyiKubU01RTTETV1Y7J/Z7fOg/A1XSbun6jn4dV6xXO= FX1a6puRTNfbx8mmZ5n7I5fnO77ixMa/rO9712x1rmNMVWZrj5VEzfopn7+JmHz6jc0rRqsTSPi= 1j5/hcazcuZNdy7F69NyiKubUxPFMRNXEfJnu7QdVosV141zIiq1FFuaYmJuUxVPPPdTM8zHZ2z= EdjG7buWa+pdt126+Inq1RxPExzH88TEu5a1p+nadc3Jes6faqjT9VsUWbV6KpiKObnNE8TzxPV= iJ7eezvfRr1yjWt5YuJRomk26LOLZyL1XhLlqmq3GNRXPhKpqniimO7jieI75lR0S1T4S7TbieO= tVFPP2vs3Bptej65naXcu03q8W/VamumniKppnjnh2jcmHpdzRcPVcG3pVF2jUIxq503w8Wqomn= rcT4aP2o476eztfl9I1q7O+NfvRbrm1TqF2ma+rPViZqniOfT2T/Mg66cw7xqEaNo+uWNufFrHz= 7dUWabmTcruRfvTcppnrUTTVFMR8rsjie6OUu4Gk7ewtduXtOx9WvYOrxh49V+qqKOrxc5mqKZj= n9mOznv+xR0gdy1W5pOheJafO3MTUJycW1k3ci7cuxXXN2mKuLXVqiKYp56sTxPbHa/I3zh42n7= sz8PDsVY9i1XEUW6u+mOrE8T9YPxAAAAAAAIiapiKYmap7ojzg7P0Z7Xubq3RZwqomMO1/hcqvj= uoif2ftqns/p8zaaxat2LVFq1RTRbopimimmOIpiO6Ih1Dom2rG19sW7d+iIz8ri7lT54njso/3= Y/pmXcmQAAAAAAAAAAAAAAAAAAAAAAAAJEq5nsBhM8zyizCAnHApwCBMAJMIyAYizCAgpwCJwoD= FxX6urTxHfLmmYiOZfLXM1VTIsOLhJhnwgrCYSYZzCcA42Vqjr1xHm86zD6LNHVo+ue2RJZ+bgA= QAFSYRkTAMeEZIIgvCA1CAaAAAAAAH06ZnZemahY1DBvTZybFcV264iJ4n7J7J+9z2Na1Wzb1C3= azblNOpRxlxxE+Fjnrdv3893pmPPL88B9mJqediadmafj5E28bNiiMi31Ynr9Weae3jmOJ57jN1= PPzcHCwsrIm5j4VNVGPRMRHUiqeZjsjme30vjAfoX9b1a9Vp1VzNuVTptNNOHzEf4KInrRx6e30= +iI7ohlk65q2RVqU3s2uqNTqivMjiIi7MVdaOeI7OJ9HH8z80B+zjbp3Bj4EYVnUq6bVNE26Jmi= mblumf82muY61Mds9kTD469W1KqcGrxuumrAo6mLVRxTVajrTV2THE99Uzz39r4gH6usbh1nVrM= Wc7M69qKuvNFFui3FVX+lVFMR1qvrnmXDTrGpU6zb1inJ4zrc0zRd6lPZNMRTT2ccd0R5nwAP09= H1/V9Js12MHL6lmuetVauW6blHW7ut1a4mIn64jlx5WsanlWsi1k5ly9Tk36ci9NfE1V3KYmIq6= 3fHEVT2cvgAfuZO7dw5Niuxe1GaqLlubd3i1RE3aZiYnrzFPNc8T31czHmYYO6NfwsGjDxtRqpt= W4mLczbpqrtR6KK5iaqP92YfjAPvv6zqd+5n3LuT1q9Q48amaKf8ACcVRVHm7O2Ins4dq0TOro0= nEt0b6x8TGooiK7d7EqnJx/wDSptVRRVMR38cVU/ZHa6MA/Y1/XcjUNQ1auxVVbxNQy/GJtVUxM= 9k1dTme/mIqnuSNya3FWDXTm9W5gUdTHri3RFVNPHV6s1cc1Rx2cVcxx2PyAH6up7h1jUrUWszL= iu1Tcpu026bVFFFFVPPE000xER+1PZHf5+XHn65q2dby7eVmVXKMzJjKv09WmIruxEx1uIjs757= uIfnAP2sPde4cTDpxMfUq6bdFPUt1TbpquW6fRRXMdamPqiYfmxnZcadc0+Lv/drl2m9XRxHbXE= TETz391U9j5wHd9v51y3o+Nas73xcKxRH+Es5OJVVex557fAzFFX2xxVT2+h1zdmpWtY3JnalYp= uU2b92arcXP2urxERz9fEdr8sAAAAAAAel9A2051fXp1vMtz4np9UTb5jsuXu+I/wB3v+3h5/o+= n5WrapjabhW5uZGRciiiIj0+efqjvmfREtr9paJjbd0HE0nEj5Fijiqvjia6v86qftlJH60RxAC= AAAAAAAAAAAAAAAAAAAAAAAABLGFn0AITCgjCYRmkwKxOFnsQEFJgESYUBOEZJwCJwqVTERMyDh= vzPHVj73C5J5meZ70mIkWGEpMMpiUFY8Jwz4SY8wFmjrV8z3Q+hLdPVpiPP52QyicLMAMRknAIA= AnCgqIyOAa3+TPfHqK5+db948me+PUVz8637zaAXKNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/= 5M98eorn51v3jyZ749RXPzrfvNoAyNX/ACZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db= 948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz86= 37zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav8Akz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8m= e+PUVz8637x5M98eorn51v3m0AZGr/kz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8AJnvj1Fc/Ot+8= eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db9= 5tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/wCTPf= HqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me= 9/UVz8637zaAMjyroT2Hl6FdydY1zGiznTzax7c1RVNFP8AnVdnZzPd9kT6XqpxHogQAAAAAAAA= AAAAAAAAAAAAAAAAAAEmFBEADIAGE4SYZAZYIzmEmBWKcMkBBU4AcN6fldWO5yV1cRy4e8GKTDL= hBWKTHLNOAYcSzs08zz6CI5nhzU08RxAJwKCMTheAGIpwDHhJZAMRZhAAAfoAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgpwJ7oEwAAAnDGYZgMEZ= TDC52QK4655q+qGEwzlAYDKYSYBjMehGREczwC2qe3nj7HIccAInDIBiLwnAJwjIBicLwgIKkwC= cHCgPuAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAOAEwkwKSCAgo4qp608s657OHHwJhJSWRwKx4RlwnAMeGVuniOfSRHayAOABBU4AABJhGQDEX= hASUZJMAnBwqA+0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAABJ445VjX2iYYTzyjJOBWPBwoDEmF4POBTCgCcIyAYi8IAnCgIKnACKAnCMkQ= Q4ZU0zVVEQ5vB0ehRmAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAABMseFnvBGMwkwzSYDLBJhnMJwKxWIAE4FAQJAE4UBOEZJwCC8IBwigIks= pgopmqrjzA5LNPEcz3y5OfqAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAABJVJAAAAEwJMKAxmE4ZpwKwFmAEOABOOBTgEAASYUBiMkmARzW6e= I+1x245q+qHNAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAgnHCn3ggqcCgAAAgnCgMOEZpMCsRZhACYAEFSYABlbjmeQZ0xxCgAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= Jg4SVAQAXIAGAATCJMMgMsOEZ8JMCsRZQDjlyUxxHEJRHnZAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACJMCgIHCCqAAAIn= CcdrIgFAFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAO04ARBUDIAKR2qQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHHaAmAAUAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAmU5fkbu3Hpe19LjU9Yv= V2cTwlNublNE19WZ7uYjt4YbZ3PoW5sa5f0LU7ObTa4i5FHMVUc88cxMRMd09/oa5dfp9WPZibl= MVenPu/a5OWq1vpe3roOu5+PGfb1DGt5VyKbWXR1uIiueyKo4q7vrbI7M1ivX9radrNePGPVmY9= N2bcVdaKZnzc+d6dVobumiKqu0vNptbb1EzTT3h+z5uSJ5dO6Yd31bI2Hm63Zooryommzi0V/sz= dqniOfTERzPHn4eDbL0bpw6QdMr3HibvvYWLeuTFqq/m3LNN3iZiZoot0zEUxMTHdH1PI9jarke= G5WD0j7J6MLtOq9IGlYesXdXpqt6hm3671qLE2uPBc3LVUxVNVMzx1fv8z07B3Fp+kbJ0nVNzbg= 06nwuHZm7m1XIotZFybcTNVHMRzFU8zEREdnmgHZB1XTekXY+pVZFOBuXAyJxsevJvRRXM9S1RH= NVc9ndEPmp6VejqqqKY3fpfMzx23Jj/kDuY+LK1fS8XSf5WydRxLWn+Di541Xdpi11Z7qutzxxP= MPwNN6SNi6nqFjTsDc+n5GXfri3atUVzM11T3RHYDtg8p6LN1alas7l1DeG/ND1jBwq7c0V4nER= iUzVXExc4tUds/Jj/O7pdlsdKXR5evUWqN36V1q54jrXurH889kA7iJTVTXTFVMxVTMcxMd0qAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAADy/wCE5+7G5/F2v+bqXwR+7c3/AA3/ALrtvwnP3Y3P4u1/XLqXwRv2dzf8L/7r7Vr7sq= +v+HxLv3jT9Hie5P8AKHUv4u7/AG5be9EP7sdv/wADR/U1C3J/lFqX8Xd/ty296If3Zbf/AIGj+= p6uNfYW/wB/Dz8H+3ufv5dD+GBjX7/Rfi3bVM1UY+qWrl3jzUzbuUxP4qoj73Yvg46jg53RFotv= Ev267mLbqs37dNUTVbriursqjzc9/wBku5bm0TT9x6Fl6LqtiL2Hl25ouU88THniYnzTE8TE+mH= gWb8GOvxu7Vp28PB48zzRTew5muI9EzFcRP28R9kPzb9G7V8MCf8Awtxv9q2v7u68d6UMvJzNf2= Fpl/TsnVMTH29p82sC1VVE5M1URNUR1YmeZ4insjn5L1ijoLyqejC9s6rc1mq7c1enUIyZxZ4iI= tdTqdXrffzz9z9je3Q1i7k0Lb1q1rN7Tta0TBs4lrOtW+YrptxHHNPWiY7YmYmKuznzivP9sY2N= Oi7xrp6KMzaVdvbGfNObeuZExXPUiPB/4SIjmYmZ9PyX42wdibY1b4PmvbozdPmvV8SMmbORF2u= Jp6lFM09kTxPb9T1HQeineGLa1bH1jpFzNWxtQ0vJwabN6m5VTRVdo6sXOJrmJ47X6u0+jK/oXR= JquxatYt37mfF+IyosTTFHhKYj9nrdvHHpEa769m5eR0NbD0i7l3KMK/qGb4Tmrsjq3KIp/m8JX= x9rZTbnQ/sHRM7C1LT9GqpzMOqm5avVZFyqrrR3VTHW45+516joP0/J6LsTZ+p6rNzKwsi7kY2f= Zs9WaJrntiaJmeae7mOY7o7YfPszoh3hoGv6Zm3ekjPzMDCvUVThzF2mi5RT/mcTcmIjj6uAead= E2p6JpG0OkrL3Fg1ahp/hseivFprmnw1U3LvVp5ieYjrcdvoj7nXN3VafnbOu52n9EWZodiuKLl= rVqb+RctUUzVEd9VPVmKu7v75h7hoHQZbxNu7o0XUtc8Yt65ctXbdyzj9SrHrt1VVUzxNU9btqj= 0d0+l+Fe6BN23dH/kW50l5NemRTFEYlVi5NrqxMTEdXwnHETEcfYD0noAy8jN6H9u5GVdqu3Ixq= rfWq7+rRcqopj7qaYj7ne3XOjPbde0Nkadty5l05dWFTXTN6mjqRX1q6qu7meP2uHYwAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AeX/Cc/djc/i7X9cupfBH/AGdzf8L/AO67b8Jz92Nz+Ltf1y6l8Ef9nc3/AA3/ALr7Vr7sq+v+H= xL33lT9Hie5P8otS/i7v9uW3vRD+7Hb/wDA0f1NQtyf5Q6l/F3f7ctvOiGf/DHb38DR/U9XGvsL= f7+Hn4P9vc/fy7NnV1W8DIuUTxVTaqmJ9ExDVLYm6OnPe3js7d12rIjCqoi914x7fV6/W6v7VMc= /sy2r1P8AxZlf6mv+zLX34Fn/AJW7P9Zi/wBV5+bfo4fNsTpR37t3pKs7Q6RqvC05N2ixVNy3RF= dmqv8AYrpqojiqiZmOe/7uJeoba1nduT0raxpeoZej16FZornFtWL9qrJpmJp469EVdaI7Z74jz= PFfhN128zp10jGwZivJoxsWzXFM9sXJvVzEfbxVT/PD7sXUcnSOnLpL1PDq6uTi6TmXbVXHPFcR= b4nj6pBsVnbk2/p+TVjZ+u6Xi3qe+3ey6KKo+2Jnl1rpG3RmfE69n7G1nQr+ZayLdFV29mWvA0x= PPMTVNUUxPojl4r0KdFW3977JzN0biy9QyM25lXojwd+Kf2YieapmJmapmZnnn0OmaHER8H/c9M= d0a3iR/wCmoHs/TdvzXdv9F+3snA17Dxdx5FePVmU4tdq51qarNc11Ux2xNE1xHFUdnd2vS9qbq= 0jM2liajka7p1ybWJYqzbvjNHFquumP25ieKZmrmO3jta9dN+29Lt9C+yN1027n8qXMPAwaq+vP= V8F4tXXx1e7nmO93bL2z0d7G6FcnM1TEzq8PW8bCqy7Nq/M3L92ni5RTRM9lPbNUz9UT9gPXMfd= e2Mm/RYxtxaReu1zxTRRmW6qqp9ERE9rzLpX3duLSOmnZ+habqdzH03Pmz4zYiimYuda9NM8zMc= x2dnZLwLeU7Mu7fjJ27s3cek3+vTVby8nIm5Zqp9Hd5+Y4mJ9DvWtZuVqO/uh/Nzb1V/Iu4GFNy= 5VPNVc+GmOZnzzPpBtTAQAAAAAAAD8PfG4MbbW28rVL/wAqqinq2aP9O5P7Mf8AOfqiXgHlU33z= P/xqI+rxWz7gNmxrJ5VN9+u49ks+4eVTffruPZLPuLgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZ= sayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLP= uHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7h= gbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7= JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyW= fcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffr= uPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j= 2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb= 79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/= XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsaye= VTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU= 3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNj= WTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w= 8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMD= ZsayeVTffruPZLPuHlU3367j2Sz7hgbNgIAAAAPL/hOfuxufxdr+uXSfgp52FiVbioyszHsVXZx= vBxduxTNXHheeOe/vh7zq+mafq2L4pqeFj5mP1oqm3eoiqnmO6eJfkVbE2ZMdu19In/AISj9Hvt= 6ymnTTYmO85y+dd0lVWpi9E9vhrruLok31d1LNzsTSrWXYu37lymbWVb5mmapmOyZh6F0e9It3a= uiYW3t57c1TR7WHbps282rHrm3VEeers7Pu5ek2NlbYxuZw9IsYcz3zi1VWZ/nomJc8bdtW4mnG= 1LU7duqOKrdzInIoqj0cXet2fZw6XuIc+iKLsZiP0Ys6CbNc125xMvtsZeJrGj13tOy7GTZv2qo= t3bdcVUzzHHfDWvTPg/9JGmzd/k3dmmYXhJia/F8zIt9bjnjnq0RzxzP873jE2dj6ZkXM3Rb9Om= 5NUzM02LfVsXezs8Ja56sz/81PVn63Z8abk2om7TTTc4+VFM8xz9T51WM+z6VE1Y93h3RZ0E39A= 3RZ3LurWLWpZuPc8LZs2Yqqo8J5q6q6+2qY74jiO2Inme5+3onRdnWeljc259Uv4ORpGtY17H8W= oqr8L1bnU5ir5MRHZTPdPnetJMcstNVq9nZ+1bmda2X0y6BjaZc5uV2bupRbrniJ7Jpp60TPHZz= HHPofN0PbM1Pe/Q9uLR9Ov41i7d1excpu5E1RRPUo5qj5MTPPyo8z2SvoG6Na7lVyrRsiaqp5n/= AL7e7/xO97b0DSNt6Ta0nRMG1hYdrnq26OZ5nzzMz2zP1zMyK6HvXozydzdD2jbNuZ9jH1DS7ON= NF6Imq1VdtWptzE9kT1Ziqrt457ux1ux0R7y1Xo+z9r7t3VjZUW6sevSK7XWuU4824rpmmrmmmZ= iYqpjvmY4+rt7rujU83P3nZ0rCuX7GNptrwmfNNVdEVTdpmLcxNMTz1erNXFUxEzMejs65rd/eu= tZ1i9GHrODHgZt0049FVvwXhOrz1p5+XVT16O2eI5t3PNPLtRYmr5eeq/jtDquq9EfTBqm3adu5= +9tIyNLt00UU49ddziIo46kcxa57OI879+50Sa/Xruws/wAf0zwe3MbHs5Udevm5Nu5NUzR8ntj= ifPw7Bcyt5YOhYFjBwL1zxm1NNyK4u1XLHWimmOZqmaoqpmvv7qot1TERzD6NG1HdOu61gWNS0v= K0/CouU5VdUW6rfbFuKvBVVTPyoiq5THPEczbq7OJ7HJnGcrzo7YeiUqlKuLsAAAAJVPCuidM27= I25tmbGLd6uo5vNux1Z4qt0/wCdX90dkfXMegHlXTduyNwbknT8S51sDT5mimY7q7ndVV/RxH2c= +d5+faKACgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AADdABkAAAADgAODgAOCIiO4AAAAAfLXp2Bczac65hY9WVTTFNN6bUTXERPPEVd/D6erT6FBMJ1= Y9BFMQoKAAAAATPAOLMyLGLi3cnIuU27Vqia66qp7KaYjmZaqdIG5L26dzZGp1zVFjnqY1uf8AM= tx3R9s98/XL0/4Qe6/A41G18K5/hL0RczJj/No76aPv75+qI9LxBYABQAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABugAyAAAAAAAAAAAAAAAAAAAA= AADG5+yANXemD94+sf62n+xS6mCgAoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAA//9k=3D" width=3D"793" height=3D"1121" alt=3D"" st= yle=3D"margin-left:-1pt; position:absolute" /><img src=3D"data:image/j= peg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEB= AQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wA= ARCAAbAE0DASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAABwUGCAkKAgT/xAApEAABBAMAA= QQCAgIDAAAAAAAFAwQGBwECCAkREhMUABUKFiEiGCUy/8QAFwEAAwEAAAAAAAAAAAAAAAAAAAEC= A//EACkRAQACAAYBAwMFAQAAAAAAAAECEQASITFBUQNxkfATImEygaHB8dH/2gAMAwEAAhEDEQA= /ALAbx6gFUHCruua3rKsFMMDvK/BjZu2mcwdmDZDW+LBBRGGRYS3M6bOyDrRuPBR8MxTTQatUEU= k9Go5nvujzW3N/m+6DizK0o6FqbmeLnGqRiK1tedm26ftJ0HdJ4cMNZg3jZduPhxR033S3cDFMv= Xg7ffZF4gi4TUQ1DjUFHp95X/HtX1jtGj+vMdg+QCyRAYpjTcPIbgrE/dUprRB6grn4FnkcMMk5= QE13122/asENE9d9lM6ZcD3yLdzI0R2hNAl83CT7Urt/ZDeV8go8yOCkS5trYN0fXsL2s8JJW8F= S+6+iVIF5XN443LyCQNp+mOeGmjF21EKI75QhG5S1Va1V6/c29TGEPGOaaqynLmVVZ0n5DeivTH= cTv/oqsb6R5H7biswo6/zAR/JqzMArSmcgqO9I6I2/7l9WUpWKtt1ioVPbRcvGSCSRhmh7190fj= 11yoSWJnproe4bApHmWTvI8ypSLBZX0HfVjy+ekINWmZQyfFYrBQQNjJWDmY2KcCMFpAuLw/Yj4= +Eci3pV3osWHN1mF5GZrA7Y8aNMXvGulpv1VN6i8idFo863tPapzVUrLE5OeZx2YQmOqpxeHpS6= OrRAhJ3hMoNE5HkHUc0YPfsPY5ndB78/T6q4QO8jXAnQBpKuMd1OJVcHPFklXbIKIs0zJaNhVYy= ylxUkKbIimtiRArWwwuCjT9ym5PBZfs5EJqrNXSP4EIxnu/cLlWyzLw+51V+k/SieWm0lBlWaVW= INFrrduv8XgftJJ1jV1HVv1jM7KK3NyzOZElFJjJGidg1PbVEE3koViI0xY0FdziRMlYo8K/RWX= fJP2bwWFLhzLhtuye/Lp4Zl0nI5b0Xjk+sOi67qGaBq2dW9Zln37c8hDRWBwJogs9xkPH1pgJfT= GSKjGrs45HNXrVsGjzfcyTX0bKoZ3APKsIiPEfgmeePSS5Jp9w972bcZUnz2SeiSk4rlmYsJhVy= NlyEKIcO14pXounKlhk+SOG9m6T82a2RGLrOHCLNKQEAhXKzqy+v8AmbsOrqIlqnW4qt57yjL+i= caAa4K27X1QDKoJVgpZSOiJuEyfdyAFycQmDKMCxYWXL6CcPXbdZv8AhljnC6qN5RDkD8/7d4bC= B5IRuhtY5mmq4sdSzfbCGPuO44dSy/W4XqSOdh8fxmfK17c9h1i9sWBz2jHO0n/q7SdyOJuZiab= G63cOXIo8qTaKtSDWEGB0ty2WH7OstyXOLWuKVTKa11T1hsYKIp6t07h6S6LuGxZ3pU9BVw51eK= BnBFgOkCL+Uy6TpCyboJH2jlsjoOYOHzt1jZRk2dxFuvPcPOXJ9wcqZ6Fqo4968aTzmioPHdI5N= v0TYcBqGVR4hUhu3x12JZZy6PxCFi/t2XGSVgJEhI6JtI4D2cInd8M2xUBs4PXAHsnjW3Fa70U7= RgNGlucZbeshMwqoLJtujGIRq7o2cT8SQFbxM0fzFhRuItXxRFscWIk09ESe7RYU/piZxXcdO6y= +9b/5gfH4zyRjdXGX25nVMtCK8Mni67MeOM9GWI3gkxvSuevYx2vR1Rrx9XohjBGVzUzdlHxOUL= KIjLWVgM2O4cS2tNMprOnZVog2zqIbuSLN07+i7R10HeLWVGpMn0u1eSo/IwY6wK9fRz9wfJyBJ= k2PVXHXbvIpwYdPlWrIhugi+2bNlE2m7lRd5hHDh04VVoL6GmthjrX6E6Cv2CVXTF59F8AN/HFz= HxTVNsxa47Cswkdlw6SnbqmOYcq5YgK6r9qL1RZHjCnwiophdu9eNyWGg97dz4co+tE490FFnK/= 2nEbNUkBXc+u2cOFxFKxwestrnbGNs6qqN9t9c5xjOdc49cev4yo+SKB+mWxVbb12aGnBi4wgeb= xxrRjNYqpplRpdxd8YfLn8j7Cddx9D8v29KRnOz6hO4b8kfLPUcc0dfs6pt6HdDT4jGy01TWV2b= LRQ5ursHkGc4SHJs1vcV1wOwuu31HVX51OrYRChQK+vHVP7qm2g9m3Y2/ypOIJKams7OqOmjWTN= 9Cb5uTiTQtrjV2okRw4bMsLb6Jb7I667Zx8d28w0aZ7f7IMEoP8AYIleqehCRBxiSy9D7D19bcu= dOl/hbn0kEsquFVFPjRSTS093tT000xrrgZxSFMYAJ3AweR2dEAm+m+mREbuO2gw3Gu+ce/2MR8= 1QbJ529c+uyaeu2fXP+fxhW2h13t3eKp3jVNNN6e3Zv+e8XG+VDyg2VLJXAL769GQytlqaIPpVy= F4+4zLh01Oa2a7HOBjG8egzwPfA9vvFxzp6lHGDVPVBsu9dNhqi7h0R11hBzj5KeufJO9sWn1Kh= 5OKB4dCmE7NCrXjsvPAiiT2ewyuhDFiPFi5KvkqtI5yFxo6UZoIMmmrt2q8SwjjXeAZfmelz5B0= XOxUiaKvVdlnhMtN58RIO1tv/AEq5ePJQs4XU29Meu6qm22fT/Ofwl0/AYzRBY6cqJEvBS0kCpR= w29ESmU7KkAyRoVI27RXD0y7T02ZyAAENMXSOiTxgUFMXzNwg5bpqajEUUFNn5898GSK5pBKXb1= pxtxg82F3r0B4843AZZG6E4fizS/GDyRQzepB7/AAamMIDNxjF9MCmG6LMkOBDZ3tKaq3YSDdkU= TsOs7FD6CsJRvd85enP3ks7b8kGLCqePUFyzPUYtHBUmMwuxGBR63PjnskGR5XUGLeakUipQQkR= WPOWaOmj79KLKOGOrhyho2VhXMaSrifN4k0mYkxJW8Fj5CLRBMtNJu6wAjxWay6xiQphtvI/fo1= fTmeTGUOdd9t91S8iJudt85X9NV2rawiNMF8yKqdJJADuXgF/+3jE6nQx/h5GTjORgXGrlCSYV1= UFnB7Mk1zrtj2uW+mdsba+7XM5IXeUvv56YX0vHd5I2c1rx/wAMSGsLvK7PHu2RUjlJ8PRGeHci= f7fC6wikxHTAGIkYnSSwwgfOLR8WDKDpJHV2RtmzDyQquLSetUCrNg9wogi4OffK71p5AJHKqKW= qrlR8xRhD+Yv4/ZwaSn2EqQHHY6CRj0aiTBnITEvlaz6SsyDYIEDviqQQaeON0FEwy+uY6WHG2V= sRYDCbHISqYxWNkHhIMGNTeZuG7R883Wyo4331P6OHe6WrhdFlh6s51GtllGo/Vq23yllCqisIZ= SZ97J6sYk4abJiVQBJ4NlEqW1IB1iA0v9B60fmnjJ0igYDhzLLK7ZTdgZECy7HduRHM3KLyR00N= NTDfHBczEs0Hn5pg6T7ubp3x5x+qLAZ8gcm1mn0FGjhYUQhMLNBjaGI0WQYkYrJ13TMWSYlUGD2= OSNQFsptq2ESEGq8SbPt1WrfXr/Fu67nvbvPHWd12GHj8dkX/ACIARHZhGk3Wo3LIDUkNWar41d= rKrYXUySVwr/v7c4109uMemfXFvacXZ3SNbjLaMTexB7A44kg9nLbGsA0gNNvhYwG+IDU3kmUwO= VfCw4tq+0ZfAi8+g2WcpKuEtVfzZ5/FUraF1lyF0YLhAbIRiR6Ry/eIYJFiXzO8VjBm+FflLP36= yfoiknp8aSmiX+vu9nvzttkyR3ovDIRi5gpqr5r+sf/Z" width=3D"77" height=3D"27" al= t=3D"" style=3D"margin-left:441.05pt; position:absolute" /><sv= g font-family=3D"Times New Roman" font-size=3D"16" height=3D"41.33" version= =3D"1.1" width=3D"209.31" xmlns=3D"http://www.w3.org/2000/svg" style=3D"wid= th:209.31px; height:41.33px; font-family:'Times New Roman'; font-size:16px"= xmlns:xlink=3D"http://www.w3.org/1999/xlink"><defs /><g><g><path d=3D"M0,0= L209,0 L209,0 L209,41 L209,41 L0,41 Z" fill=3D"#7c7c7c" fill-rule=3D"eveno= dd" /></g></g></svg><a href=3D"http://www.ana= tomiadigital.org/" style=3D"text-decoration:none">www.anatomiadigital.org</a>ISSN:<= span class=3D"awspan" style=3D"letter-spacing:-0.15pt; color:#ffffff"> </sp= an>2697-</= span>3391Vol. 8 No.</sp= an> <= /span>2.1, pp. 19 =E2=80=93 3= 3, abril<spa= n class=3D"awspan" style=3D"letter-spacing:-0.2pt; color:#ffffff"> <= span class=3D"awspan" style=3D"color:#ffffff">- mayo 2025 Revista en ciencias m=C3=A9dicas, salud p=C3=BAblica Ar= t=C3=ADculo de revisi=C3=B3n bibliogr=C3=A1fica.cuidadosamente las circunstancias del TCE para </sp= an>adaptar las int= ervenciones <= /span>de manera m=C3=A1s efectiva. = (16).Adem=C3=A1s,</spa= n> los estudios de Suligavi= et al. (18= ), <sp= an class=3D"awspan">Kumar et al.<s= pan class=3D"awspan" style=3D"letter-spacing:0.75pt"> (17)= & Deshmukh et </spa= n>al. (19) corroboran que </sp= an>las fracturas = del <s= pan class=3D"awspan">hueso temporal est=C3=A1n<span= class=3D"awspan" style=3D"letter-spacing:0.05pt"> asociadas con diferentes<spa= n class=3D"awspan" style=3D"letter-spacing:0.05pt"> grados= de p=C3=A9rdida auditiva,</= span> lo que subraya<sp= an class=3D"awspan" style=3D"letter-spacing:0.05pt"> la </s= pan>necesidad de = una <sp= an class=3D"awspan">clasificaci=C3=B3n adecuada<sp= an class=3D"awspan" style=3D"letter-spacing:0.1pt"> para </= span>guiar el tratamiento.<sp= an class=3D"awspan" style=3D"letter-spacing:-0.05pt"> Las <= /span>fracturas transversales,</sp= an> por ejemplo, tienden<s= pan class=3D"awspan" style=3D"letter-spacing:-0.05pt"> a = causar p=C3=A9rdidas<s= pan class=3D"awspan" style=3D"letter-spacing:0.1pt"> auditivas m=C3=A1s severas, lo que podr=C3=ADa requerir enfoques de= rehabilitaci=C3=B3n m=C3=A1s agresivos. (17=E2=80=9319).<a id=3D"_._Conclusiones"></a>5.Conclusiones</= p>En conclusi=C3= =B3n, = en la hipoacusia</= span> asociada a trauma<= span class=3D"awspan" style=3D"letter-spacing:2.15pt"> craneal se evidencia<= span class=3D"awspan" style=3D"letter-spacing:2.15pt"> da=C3=B1o de los nervios</spa= n> ciliados, lo cual, genera </s= pan>una p=C3=A9rdida auditiva </sp= an>neurosensorial, este hecho </sp= an>fue demostrado tanto<span= class=3D"awspan" style=3D"letter-spacing:-0.1pt"> en </sp= an>roedores como en <s= pan class=3D"awspan">humanos; adem=C3=A1s, se = destaca la relevan= cia <s= pan class=3D"awspan">de una evaluaci=C3=B3n integral </s= pan>que incluya tant= o <span= class=3D"awspan">las pruebas diagn=C3=B3st= icas <s= pan class=3D"awspan">como la revisi=C3=B3n<= /span> de antecedentes de exposi= ci=C3=B3n. </= span>La DpOAE se</= span> presenta como una<= span class=3D"awspan" style=3D"letter-spacing:2.45pt"> herramienta eficaz y objetiva= <span= class=3D"awspan">para la detecci=C3=B3n<= /span> y seguimiento de<= span class=3D"awspan" style=3D"letter-spacing:0.25pt"> la hipoacusia, mientras</span= > que la evaluaci=C3=B3n= de antecedentes ayuda a predecir el riesgo de tinnitus y p=C3= =A9rdida auditiva.<a id=3D"_._Conflicto_de_in= tereses"></a>6.Conflicto de intereses</p= >Los autores</spa= n> declaran que no existe </span= >conflicto de intere= ses <sp= an class=3D"awspan">en relaci=C3=B3n con</s= pan> el art=C3=ADculo presentado.= <a id=3D"_._Declaraci=C3=B3n_de_contribuci=C3=B3n_de_los_au"></a>7.Declaraci=C3=B3n</= span> de contribuci=C3=B3n = de<= /span> los autoresTodos autores = contribuyeron= significativamente en</span= > la elaboraci=C3=B3n del</span= > art=C3=ADculo.</sp= an><a id=3D"_._Costos_de_financiamiento"></a>8.Costos<s= pan class=3D"awspan" style=3D"font-weight:bold; letter-spacing:-0.05pt; col= or:#767070"> de financiamiento= La = presente<span= class=3D"awspan" style=3D"letter-spacing:-0.2pt"> investigaci=C3=B3n fue financiada en</= span> su totalidad con fondos</sp= an> propios de los </= span>autores.= <a id=3D"_._Referencias_Bibliogr=C3=A1ficas"></a><sp= an class=3D"awspan" style=3D"font-weight:bold; color:#767070">9.Referencias= Bibliogr=C3=A1ficas1.Bansal S, Preetam C, Patnaik A, Sa= hu RN. Assessment of Hearing Loss in Minor Head Injury:</s= pan> A Prospective Study.</span= > Asian Journal of Neurosurgery [Internet]. 2022 [cited= 2025 March 22]; 17(4): 595=E2=80=93599. Available from: <a href=3D"= https://pubmed.ncbi.nlm.nih.gov/36570745/" style=3D"text-decoration:none"><= /a><a href=3D"https://pubmed.ncbi.nlm.nih.gov/365707= 45/" style=3D"text-decoration:none">https://pubmed.ncbi.nlm.nih.gov/= 36570745/</a>2.Hwang</= span> PH, Nelson LD,<s= pan class=3D"awspan" style=3D"letter-spacing:-0.15pt"> Sharon JD, McCrea<sp= an class=3D"awspan" style=3D"letter-spacing:-0.15pt"> MA,= Dikmen SS, Markowitz = AJ, et al. Association Betw= een TBI-Related Hearing Impairment and Cognition: A TRACK-TBI Study. The Jo= urnal of head trauma rehabilitation [Internet]. 2022 [cited 2025 March 22].= 37(5): e327=E2=80=93e335. Available from: <a href=3D"https://pubmed= .ncbi.nlm.nih.gov/34698685/" style=3D"text-decoration:none"></a><a href=3D"https://pubmed.ncbi.nlm.nih.gov/34698685/" style=3D"= text-decoration:none">https://pubmed.ncbi.nlm.nih.gov/34698685/</spa= n></a>Esta </spa= n>revista= est=C3=A1 protegida bajo una licencia Creative Commons <span= class=3D"awspan" style=3D"font-size:8pt; font-style:italic">en<span= class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spacing= :-0.2pt"> la 4.0 International. Copia de l= a licencia: <a href=3D"http://creativecommons.org/= licenses/by-nc-sa/4.0/" style=3D"text-decoration:none"></a><a href=3D"http://creativecommons.org/licens= es/by-nc-sa/4.0/" style=3D"text-decoration:none">http://creativecommons.org/licenses/by-nc-sa/4.0/</a>= D i= a g<= /span> n =C3=B3<= span class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-= spacing:0.45pt; color:#ffffff"> s t </spa= n>i c</span= > o M =C3=A9 <= span class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-= spacing:0.5pt; color:#ffffff">d i c </spa= n>oP =C3=A1 g i n a<sp= an class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-sp= acing:2.85pt; color:#ffffff"> 29 | 33<img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2w= BDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFhwXExQaFRERGCEYGh0dHx8fE= xciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4e= Hh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCARhAxkDASIAAhEBAxEB/8QAHAABAQACAwEBAAA= AAAAAAAAAAAECCAMGBwQF/8QAWBABAAEDAwAECAsDBgsGAwkAAAECAwQFBhEHEiExExQXQVFVlN= IIFiJUVmFxgZKT0TI3dBWRobGysyM1NkJSc3WChMHTGCQnM6LDJWJyJkNFRmOjwuHw/8QAGwEBA= QEBAQEBAQAAAAAAAAAAAAECAwQFBgf/xAA1EQEAAQMCBQMBBgUEAwAAAAAAAQIDEQRSBRMUMZES= IUFxMzVRYYHwFSJCodEGIzKxNMHh/9oADAMBAAIRAxEAPwDpoD+lPxQANEosoAAECSqSLKAKgAk= kJPeE94pIACT3Is9yAABAkqkiysBAIkosoKkrHckrHcqACCSEiwACglXmVKvMCEhIIAKAJJAAQs= JKLKKSACD9HDteCt8z+1V2y+XCtde51qo+TT/W/RYmWK5+BjPeyYz3sswANKAAJKpIAAADIAKgA= qsZCQPgAlCEqnsYkiNQkosoKMZ7e1ap8zGGKpy1TAksuWNTDeQFpjsIgmQWYRqUhJ7wnvAAASUV= BRJUnu5QYVT5mE9yzPM8pPc5z7ukIkwqpgliLKfZ2osLTT1qo9Dk+5KY6sfWy5daacQ5VVe76AH= ocAAaJRZQAAIElUkhZQBUB9uBpebm4OdnY9masbAt03Mi5PZFMVVRTTH2zM931T6Hb+jros17fG= i3tV0vO02xZs5E4805FdcVTVFNNUzHVpmOPlR/S897VWrNM1VziOzrbs13JxTDoU96PY5+DxvD1= tof5t3/AKZ/2eN3+ttD/Nu/9N5f4tpN7t0N/a8cOXreV8H/AHxZpmbWTo2R6KaMiuJn8VEQ6Juz= Ze59rXONc0jIxrfPEXojr2pnzcV08xz9XPLva12nvTiiuJlzr0123GaqXX57kWe5HrcAAIElUkV= YAESUWU5gWElY7klY7lQAQSQkWAAUEq8ypV5gQkJBABQBJIACFhJRZRSRaYmqqKYjmZ7kfZgWv/= vao+qlJnDMziH02aIt24pjzd7MHNyGM97JjPeLAA0oAAkqkgAAAMgAqACqxkJA+BJWUSSElJhki= NMZRlLCe/hJnCwkx28oyYzDm3EiSqSKR3s0pjiFVBOFFGEwMp704BAQCUVEX4GFc89jKZ4hxpVK= whCjnhtAEBaKeZ59COWmOIappzOSZSUZVMeJdXPD6QHVxABolFlAAAgSVSSFlHPp2HlajqGPgYV= mq/k5FyLdq3T31VTPEQ4GxXwZ9gzh4kby1SzHh8imY0+irvotz2Tc+qau6Pq+15Nfq6dLamue/w= AO+msTfuRTD6N57OxdlfB71LTbc03MqvwNzLvRH/mXJuUc9v8Aox3R/wD3L7fgm/u6zv8Aa1z+6= tP3/hDTHkk1iP8AVf3tL8D4Jv7us7/a1z+6tPy1Vyq5oaqqu81f+n26aIo1VNMfg9T1vVcDRdMv= anqeTTjYlmIm5dqiZinmYiO765h1WOljo9nj/wC02L+Cv3XF0/8A7pNc/wBXb/vaGnTpwzhlGst= zVVMxiWdbra7FcU0w3m0Ddm29fqmjR9bwc2umOardq9E1xHpmnv4+5+nnYuNnYl3GzLFvIx7tM0= 3LdymKqao9ExPe0MxMnIw8q3lYl65Yv2qoqt3LdXVqpmO6Yluf0S7hvbo6P9L1fJqpqyq7c28iY= jjm5RVNMzx5ueOfvcuI8MnR4rpnMNaTWRqM01R7tcOnfYNGy9ft39Opq/kjP5qsRM8zarj9qiZ9= HbEx9U/VMvN23PwktMtZ/RVnXqrcVXMK7ayLc+emetFM/wDpqlqfpUzTqeLNNm1fmL1HFu9zNFf= yo7KuO3ifPw/QcJ1VV/TZq7x7Pl66zFu9iO0vedP6O8Kvoyo29XoVVWu5GlVanGp+Kz1aLvXiqj= H8Jx2VdXsmOfNM+d0jb3Rxo2dtjb+rapum9p97XMivGxrNOnzdiLkXJoiJqiuO/iPNHe9Kubc6b= 691U6/Tq2k0RExP8n05t6MTiKerx4P0T39/f2vl1HY3ShmWtIteKbUsW9J1CvPxrdm7dinwlVyb= k0zz/m8zMREcdnnfJt6qujMc2Pec9/r7f9PbVYpn+ifb2dH0Dojrz8/VsHLz9Qt3NPz6sTwuPp/= hbVcRETFXWmunie3mae3jsfp6T0c7Z0zTd9YW48+u5l6NNiLeXasVT4CiunrU3IoiviqaueJpnu= 6vf2ubeWsdJG0IzLm5Ns6Jm6fnZ3jkVXLNV6xavcRT8maa4mn7Kvr4878nae6N+7n3BuTU9I21p= esRqduxTqWHctc2OKKerbmIqrie6mrzz5/q49M16u7RNfrj0+3aY/JyxZomKfT7vjwejrQ6NO0S= /rW6b2De1+5VTptu3gzcjq9aIoruT1o463NPZ5ut9U8fTp3RRh0xkU63uSvBu29bjR7UWcKbsXb= lUUzRVz1o4iet9z5r2+Nz7UvWdC1vbeiXcrSrs3cOnMx+vXhTX8uIommrjiOYmO/js9Ecfi0dIm= 4PFqbV+nEya41mjWartyietXfpiOIniYjqdndERPomHoijX1xmmr2+sf2/RxmrTU94di3H0V4Gn= 2cy5p25pz69O1CxhZ1m5gzamibtVMRMT1pir9qP1fqal0c0a/u/WsOa68K1pVy3i0fyZpEeBqia= Iq5nm5z1uZ7eZqn6+50zL6SNcyKtXm5i6fH8rZtnMv8AFuv5NdqYmmKfldkT1Y555+52La28d87= o1DW7OnbY0fXIzr1Gbk4l6zM27VcUxRFVPNcT3RHfM/c5XLeuop9VVXb5zHzhuivTVTiI7uldI2= 1ruzt15GhXcujL8FTRXRepo6nWpqjmPk8zxP3y69Hc7V0sZu4s/eV+/ujTLGnal4K3TVYsxxTTT= FPyZ/aq831v1dS6JN1afs+rdF+5p04NONTkzFN6qa+pVETHZ1e/tjzvqWtTTRao51UZn+7x12Zq= rq9Ee0OgAPY86SEuy9H+ydY3vn5OFo1eLTdx7UXa/D3Jpjjnjs4iWLl2i1TNVc4iG6KKq5imnu6= 0P2d6ba1HaWv3dF1WbE5NqimqqbNc1U8VRzHbMR6X4zVFdNymKqZzEs1UzTOJEq8ypV5m0QkJBA= BQBJIACFhJRZRRnZom7ciiPv8AsfqUxFNMUx2RHY4cK14O11pj5VTnYqlyqnMgDLIxnvZMZ7xYA= GlAAElUkAAABkAFQAVWMhJIfCSIqSsAIglUsOGVU9qcszLpEIKkwipwcKSQSACZABUnvRZ70CA4= AVEmGTGqeIQYVT2sPOySYYlqEARUAjtngwZZW457XIkRxHBzx3ukRhMkosoqPoAdXAAGiUWUAAC= BJV9eiaXm61q+LpWnWpu5WTci3bpj0z559ER2zM+aIZqqimJqntDURMziHcOhLYte9N00+M0VRp= OFMXMuru6/+jbifTV/VE/U2+tWrdm1TatUxRboiKaaaY4imI7oh1/o72rh7P2xjaNh/Kmj5d+75= 7tyf2qv+UeiIiHYrlNU0TFM8Tx2TL8NxHWzqr2fiOz9NpNPFi3j5+XgXwot60xTRsvAuc1VdW9n= 1R5o76Lf/wDKf93637/wTv3dZ/8Ata5/dWnUel3oks6Lt/Vt3X9w5efmeEi7cpuWaaYrqrriJ7Y= ns/adu+Cb+7rP/wBrXP7q09t+bP8ADoi1Off3+rzWuZ1ea/wdl6f/AN0euf8A0W/72hpy3F6f/w= B0muR/8lv+9oadPof6f+xq+rycV+0j6Daj4LMV+TOvr89X+ULvU+zq0f8APlq/p+Hl6jm2sLAx7= uTk3qurbtW6Zqqqn7Ibo9Fm3Lm1th6Zo1+KPGLVua780zzHhKqpqq7fPxM8c/Ucfu08mKPnJwqi= eZNXw+bpr6kdFm4ev3eKTx9vMcf08NN9I/xrh/6+j+1Da34Smq2sDoszMeqvi7nXbdi3T56vlRX= P9FMtUtI/xrh/6+j+1DHA6ZjTVz++zXEpib9MN1OkvW8vbexdT1vAptV5OLaiq3F2JmiZmqI7Yi= Y9PpeCYPwhN228u3XmabpF/HiqPCUUW66Kpjz8VdaeJ+viXtHTt+6XX4//AEKf7dLTXlw4No7Oo= tVTcpz7uuv1Fy1ciKJbx41ek732Xbu1Wqb+nariczRVxPEVR2xPoqpn+aYeC9COl720ncm6tJ2x= e0SL+Feox8urUKbkxV1a7kUzR1Psq7/qeudAGNkYnRHodvJoqorqouXaaZ/0a7tdVM/fExP3ut9= C1dFzpV6SKqOOPHqI++K70T/S8NqqbVF63T7xH+Xprp9dVuqe/wD8eI9MFjX73SZnY+s04l/V7k= 2aaqcCmubdUzbp6sUxV288cfe7BonQPvjUcSnIvzpunTV3Wsm9V1+PTMUU1RH8/L0fRNLx874UO= u5d+iK5wMK3dtRPmrm3bpif5pqfJ8InpF3HtjXMLRNAyacPrY0ZF69FumqqrmqqIpjrRMRHyZ83= n/n+nTrtRXy9PYxE4h4p01qn1XbucZdSn4PG8PWuh/m3f+mw6GdG3noe/twaNt6/ok5+Ha8Fk15= nhJtVRFcfsdWOe/08PSfg37p17dOjatf13UK825YyKKLc1UU09WJp54+TEPzeiT9/e/Ptq/vIcL= ur1E03bV6Yn0x+H5w60WLUTRXbzGXQt3bN3fvbpfztH1HK0W3q9vBoyLldqblNiaIiiIiOYmrn5= Uebh7zuHbObqPRZc2pZvY9OZVp1vFi5XM+D61NNMTPMRzx2eh4T066/rG3OmnUM/RM65hZNWHZt= TXRETM0zTTMx2x6Yj+Z7VurV9SxOhS5rePmXLeoxpVq9F+IiauvNNMzV6O+ZcdVzposTGMe2Pq3= Y9EVXInv8tcd49GGubW1nRtLz83Trt7V73gbFVmuuaaautTTzVzTHZzVHdy7THweN4T/+LaH+bd= /6bote4t57x3BpVq5n5Oo6nZvx4hHVp5ormYnmOIjz0xPb2dj3HE2f0212KK8jf+HYuT30RHW6v= 1c+DfT1Wo1Onppiq5TE/P7w8di1ZuzMxRMw803J0Gb20fTq8614hqdNuOa7eJdqm5EeeYiqmOfs= jmfqfvfBE/ys1r+Bp/tw9v6PdO3XpmlXsXdusY2rZHhetZvWqJpmKOI+TV2R5+f53mvQvYtY3Tn= vqxZoii3TVc4pjujm7y8FXELmo0923cmJx8x9XqjS0WrtFdPtl5v8Jj97Wd/D2P7EPNHpfwmP3s= 538PY/sQ80foeG/wDi2/o+Vq/tqvqJV5lSrzPc86EhIIAKAJJAAQsJLmwrPhLvWq/Zp73DxM1RE= R2y/Ux7cWrUU+fzkzhmqcOSUWUc3IAAYz3smM94sADSgACSqSAAAAyACoAKrGSe4knuRWKopCQM= ap4VjPektQhMAy2ncvIiC8dqSpKiAAAIMZ7xZ70FiQAUcVc81M654jhxyzKgDOCEk4UGssWVuOO= 1IjmeHJDVMM1SANJCTCLKA+gB1cQAaJRZQAAIGy/wbtgxo+lRunVLURqGbb/7tTVzzasz5+PTV3= /Zx6Za36bk04efYy6sazkxarivwN6Jmivjt4q4mJmPveqf9oHedNMU0adoNMRHZxj3ez/9x8ril= rU36OXZj2nu92juWrVXruNit367iba25m61mz/gsW1NXHnrq7qaY+uZ4j72ts9Pe+pqmYp0uI57= I8WmeP8A1PwukDpQ3JvXTLOm6pRg2Ma1d8L1cW3XR16oiYjrc1TzEcy6O8/D+D00UTOopiZddVx= Cqur/AGpxDv8Au3pc3ZubQcjRdSjA8VyOr1/B2Jpq7KoqjiefTEPYPgm/u7z/APatz+6stYHfOj= zpS1/ZGi3dK0rD02/Zu5FWRVVkW65q600008fJqiOOKY8ztr+HxVp+Xp6Yj3y56XVYveu7Pw251= XTsHVcC7gali2srFu8eEtXaYqpq4nmOY+2Idfjo62LHExtTSPvxqXhX/aF3l6r0L8m7/wBRJ+EL= vH1ZoX5N3/qPiUcJ11PtT7fq+lVr9NV3/wCmxmj7f0LR5qnStIwcGqqOKqrFimiZj0TMQ+nU8/D= 0zAu5ufk2sbGs09a5cu1RFNMfa1e1Hp731lWposRpWFP+lYxpmr/11VR/Q6JubdW4ty3Yua5q+V= m9Xtporq4opn6qY4iP5nW3wLUXKs3Zx/dividqmP5Idn6cN/fHbcNNOF16dJweaMaKo4m5M/tXJ= +3iOI80fXMujaR/jXD/ANfR/ah889yUzNNUTTMxMTzEv01rT02bXKo7PjV3ZuXPXU3t3TomHuPQ= MrRc+q5GLlURTcm1VxVxExPZPb6Hn2J0DbEsZNu7XGpZFNE8zbuZPyavqniIn+lrHGu63651H2m= v9Sdd1uY4nWNQ4/ia/wBXw7fBtTaiaaLuIn6vpVcQs1zmqjLb/pF3pomw9uVVVXLEZFNnweFhUT= HWrmI4piI81MdnM+aPuh5f8EnIu5Oqbqyci5VcvXfF67ldU9tVUzdmZn75eBXbly7XNy7cruVz3= 1VTzLlw87NwpqnDzMjH6/HW8Fdmjnju547/ADvRRwaKNPVbir+ar5c6tfM3YrmPaPh7vqu7MXaP= wmdTzNQueDwcqzaxr9fHMURVbtzFX3TTHP1TLvnST0caH0kU4eqWtUnHyLdrqWsnH6t23ctzPMc= xz2988TE+fztWtAxLu491abp2XmXfCZ+Vax6r9czXVT1qop57Z7eOe76nvWJ0A3sSmacTfWfj0z= 5reP1f6rjx6yxb0tVExc9NcR+Dvp7tV6mqPRmmZd66Jdg29g6fm4lvU69Q8bu03Jqqs+D6vEccc= czy6Z0Sfv6359tX95DuWz9DwujXbOdd1jct/Ntzcm9cycuvq9WIp4iimJmfRPd2zMtUtzbiydR3= dq2t6ffycOM7KuXaYouTTV1JqmaYnifRw4aPT16uq7HqzmO/6uuou02Io9u3w7d8Jqf/ABZzf4e= z/Yh77oWPg726GcLTreX1LWbpdvHruW+KptVxTETHHpiqO76mnWVkZGVem9k37t+5PfXcrmqr+e= XLhZ2dhRPieZkY/Pf4K7VTz/NL69/hdVyxboirFVLwWtbFFyqqY9qntej7PwuiXpT21k6rrlrLx= 87w9vw04/gqbNXU6tMz8qrvmqI57OHq/SVtHWt114VzRt45uhU2KaorpsRM03eeOJnq1U9scT6e= /wA3n09zc7NzerOZmZGTNHPV8Lcmvjn0cy5cfV9Wx7cWrGp5tq3T3U0ZFVMR90S5XuF3rlVNya/= 5o/JujW26ImmKfafzbj9Ge1tX2thZljV9z5OvV37kV27l+Kom3ERxxHWqqdB6If39b8/+qv8AvY= a8TruueudR9qr/AFcFnUdQsZFzIs5+VbvXf/MuUXqoqq+2YnmWKODXMV+quM1R+DVXEKc04p7PQ= vhMfvazv4ex/Yh5o5MnJyMq9N7Kv3b92Y4mu5XNVU/fLjfa0tmbFmm3M5w+deucy5NX4iVeZUq8= z0OaEhIIAKAJJADK1RNy5FEechX0YFrmrwtUdkdz7UopimmKYjiIZMTOXGZzKSiyiIAAMZ72TGe= 8WABpQABJVJAAAAZABUASVVCQkVioiJCVSxWe1GZagFRFyEKiqEgggvCSNZABMJPeiygAJVJKsK= u2eUZJLm2nCKAgcLTHM/UBTHHayU4dGEAFhJRZQR9ADo5AA0SiygAAQJKpJCygCoAEkJPeE94Ei= KAk9yLPcgAAQJPcqSKytV127lNy3XVRXTMTTVTPExMeeJfb/LOr+tc72iv9XwwMzRTV3giqY7Ob= MzMvLmmcrKv3+r3eFuTVx/O+dZRYpiOyzMz3SVjuSVjuaZAEEkJFgkAUEq8ypV5gQkJBABQBJIR= +hhWupb69UfKq/oh8uJa8Ld7f2Y7ZfpMzLFU/CgMsJKLKAAAMZ72TGe8WABpQABJVJAAAAZABUE= mFFViSSSCMap8ysZ70lYQBGl8yLPciILxKMlViMphEVAAJRU4RYE4UBjPYwZ1T5mPDMtQgJwirw= xXkMCM6Y4hKI5llMLTBKcqxOWmMrKEgpKcKCOYc3imX82ufhk8Uy/m9z8Ms9Ra3R5OTc2y4RzeK= ZXze5+E8Uyvm9z8J1FrdHlrk3NsuGUc84mV82ufhTxPK+bXPwnUWt0eU5NzbLhHN4nlfNrn4TxP= K+bXPwnUWt0eVizc2y4Ulz+J5Xza5+FJw8v5td/CRqLW6PK8m5tlwDn8Ty/m1z8MniWX82u/hle= otbo8pybm1wDn8Ty/m138MnieX83u/hlOotbo8kWbm2Xzz3jmnCy/m138MnieX82u/hleotbo8n= JubZcI5vE8v5td/DJ4nl/Nrv4ZOotbo8nJubXBPcjnnDy/m138MniWX82u/gk6i1ujycm5tlwDn= 8Syvm138EniWX82u/gk6i1ujyRZubXAkvo8Syvm138EpOFl/Nrv4JOotbo8rybm1wwOfxLK+bXf= wSeJZXza7+CTqLW6PKcm5tl88o+icLL+bXfwSeJZfza7+CTqLW6PK8m5tfNKx3ObxLL+a3fwSsY= WX82u/gleptbo8pybm1wD6PEsv5td/BKeJZfza7+GU6m1ujycm5tl88jnnCzPm178EniWZ81vfg= lY1NrdHlZs3NsuAc/iWX82vfhk8Sy/m178Er1FndHlOTc2y4EnzPo8Sy/m178Ek4OZ82vfgk6iz= ujycm5tl8w+jxHM+bXvwSTg5nza9+CTqLW6PJybm2XzD6PEcz5re/BKeI5nzW9+CTqLO6PK8m5t= l869szxEczL9vTNobq1PG8Z07buqZdjrTT4S1jV1U8x3xzEP0sLo+3rFc117U1mOO7nDr/RidXY= j+uPJybmP+Mvxce1Fq3FPn88uV2H4i70+iuseyV/ovxE3p9FtY9kr/AEY6uxvjy5ci7tl10di+I= u9PotrHslf6HxE3p9FtY9kr/ROrsb48nIu7ZdclHY52JvT6Lax7JX+ifETen0V1j2Sv9Dq7G+PJ= yLu2XXR2L4ib0+iuseyV/ofETen0V1j2Sv8AQ6uxvjyci5tl11j53ZfiJvT6K6z7JX+jH4h71+i= us+yV/odXY3x5WLFzbLrg7H8RN6/RXWfZK/0PiJvX6K6z7JX+jXV2N8eV5FzbLrg7H8RN6/RXWf= ZK/wBD4ib1+ius+yV/onV2N8eTkXNsuuI7J8RN6/RXWfZK/wBE+Ie9forrPslf6L1djfHk5FzbL= rg7H8Q96/RXWfY6/wBD4h71+ius+x1/onV2N8eTkXNsuuJy7J8Q96/RXWfY6/0PiHvX6K6z7HX+= h1djfHk5FzbLrg7H8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHlORc2y64Ox/EPev0V1n2Ov8AQ+I= e9forrPslf6L1djfHk5FzbLrQ7J8Q96/RXWfY6/0Sdh71+ius+yV/onV2N8eWuRc2y61PenDsnx= D3r9FdY9kr/Q+Ie9forrHslf6HV2N8eTkXNsutTHZ2I7N8Qt6fRXWPZK/0Sdh71+iuseyV/odVY= 3x5Xk3Nsut98I7J8Q96/RXWfZK/0T4hb1+ius+yV/odVY3x5OTc2y64yh2H4hb1+ius+yV/ofEP= ev0V1j2Sv9DqrG+PJybm2XXkl2P4ib0+iuseyV/oTsTen0V1j2Sv9DqrG+PJybm2XWx2P4h70+i= us+yV/ofEPekf/lbWPZK/0Oqs748rybm2XXB2L4ib0+i2seyV/ofETen0V1j2Sv8AROqs748rFq= 5tl1ye9JniHZJ2JvT6K6x7JX+jjq2PvLnj4r6v7JX+h1VndHleTc2y66OwfEfeP0Y1f2Sv9D4j7= x+jGr+yV/ox1FrdHleTc2y6+xdi+JG8foxq/slf6J8R94/RjV/ZK/0Ootbo8nKubXXk4dh+JG8f= oxq/slf6M6NibzqjrRtbV5j+Er/Q6i1ujycq5tl1+I4jgl2P4ib0+i2seyV/ok7E3p9FtY9kr/R= rqbO6PJyrm2XW+xOHZPiJvX6K6x7JX+h8RN6fRXWPZK/0XqbO6PKcm5tl1yCYdj+Im9PorrHslf= 6HxE3p9FtY9kr/AEOps7o8nJubZdbHY6tib0+iuseyV/onxF3p9FdY9kr/AEOps7o8pybm2X6PA= D8C/WgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD79v6Vla5rWLpOHTzfybkUUzPdTHnqn6= ojmZ+x8D3n4P20/ENKr3Hm25jJzKerjxPfTa/wBL7ap/oiPSg9G25pGJoeiYulYVHVs49EUx6ap= 89U/XM8z979EiOBAAAAAAAAAAAAAAAAAAAAAAAAAcVc8yzrniOzvcYJwjIBiLwgJMCgIkxyvADH= jhO9mkwDHhGRwDDgZcJPcDivVdSjmO/wAz4/O5r1XXrmfNHZDjmBWExDGaWcwA4+IThyTDGY4US= 3RNdcUx53300xTEUxHEQ48S31aetMdsudFYpLLhBEJXhBMJwjJOBUlOIZSgNRAGkAAAAAADl+1t= bFx9Qp1PT68eLmVcw6rmHVH7VNy3MVzEfbRFcfbw7PG29OqysKIxaJtaPdm1rU01TPhOra8NVM+= jmabtv/dp88g8+OXctH0zS8/B03WrmNTRj4l3I/lK1RMxE00R4W3H1daJ8H/ux5zWNP0rS8bUNW= oxaLuPlZdidNtXJnjwVVMXq/t4iaKJ+2QdNHoVe2NPs39QsXMejjVbtVGi1TVPyafBeGpmPTz17= VH31eh1nc2HaxKMLDx8Oqi9i4VurOucT23bny+30cRVRT9sA/Dct+xXZtWrlVdqqLtPWpii7TVM= RzMcVRE80z2d08T53bNcr0jQ8qNCo23j5seL26qsu7cuReu1V24q69E01dWKYmeyOrPZHa59O0H= TM7L2xau0UWreRpt7JyO2qJvVW670xE9WJntiimPkxzx3RyDo47nuCjbuVoGVkY06RayseqjwP8= m2sziqJniabk3aer3czE8xPZL9CbG36922tq29vYtFrJot0VZc3Lk3qLldqKutT8rqxETPdxPPH= 1oPPHLTYrnFqyYrtdSmuKJpm5TFfMxM9lPPMx2d/HDsmLGnaNtfT9Tu6NjapkZ927FVWVNfg7NN= uYp6sRRVHyp55mZn0cQ4rmLh5e2NSzsbTYxrs6pYt2bfXmubdFVFyepEz2zHMR39vZCjrZ//ALv= eh5ek6VXpuqadXjaFZzcDDru8Yd3IuZFuu3x1uvXMTant5iY5757H5moXNK0W7i6RG2cbUPCY1m= 5cyrly5F6/NyiKubU01RTTETV1Y7J/Z7fOg/A1XSbun6jn4dV6xXOFX1a6puRTNfbx8mmZ5n7I5= fnO77ixMa/rO9712x1rmNMVWZrj5VEzfopn7+JmHz6jc0rRqsTSPi1j5/hcazcuZNdy7F69NyiK= ubUxPFMRNXEfJnu7QdVosV141zIiq1FFuaYmJuUxVPPPdTM8zHZ2zEdjG7buWa+pdt126+Inq1R= xPExzH88TEu5a1p+nadc3Jes6faqjT9VsUWbV6KpiKObnNE8TzxPViJ7eezvfRr1yjWt5YuJRom= k26LOLZyL1XhLlqmq3GNRXPhKpqniimO7jieI75lR0S1T4S7TbieOtVFPP2vs3Bptej65naXcu0= 3q8W/VamumniKppnjnh2jcmHpdzRcPVcG3pVF2jUIxq503w8WqomnrcT4aP2o476eztfl9I1q7O= +NfvRbrm1TqF2ma+rPViZqniOfT2T/Mg66cw7xqEaNo+uWNufFrHz7dUWabmTcruRfvTcppnrUT= TVFMR8rsjie6OUu4Gk7ewtduXtOx9WvYOrxh49V+qqKOrxc5mqKZjn9mOznv+xR0gdy1W5pOheJ= afO3MTUJycW1k3ci7cuxXXN2mKuLXVqiKYp56sTxPbHa/I3zh42n7sz8PDsVY9i1XEUW6u+mOrE= 8T9YPxAAAAAAAIiapiKYmap7ojzg7P0Z7Xubq3RZwqomMO1/hcqvjuoif2ftqns/p8zaaxat2LV= Fq1RTRbopimimmOIpiO6Ih1Dom2rG19sW7d+iIz8ri7lT54njso/3Y/pmXcmQAAAAAAAAAAAAAA= AAAAAAAAAAJEq5nsBhM8zyizCAnHApwCBMAJMIyAYizCAgpwCJwoDFxX6urTxHfLmmYiOZfLXM1= VTIsOLhJhnwgrCYSYZzCcA42Vqjr1xHm86zD6LNHVo+ue2RJZ+bgAQAFSYRkTAMeEZIIgvCA1CA= aAAAAAAH06ZnZemahY1DBvTZybFcV264iJ4n7J7J+9z2Na1Wzb1C3azblNOpRxlxxE+Fjnrdv38= 93pmPPL88B9mJqediadmafj5E28bNiiMi31Ynr9Weae3jmOJ57jN1PPzcHCwsrIm5j4VNVGPRMR= HUiqeZjsjme30vjAfoX9b1a9Vp1VzNuVTptNNOHzEf4KInrRx6e30+iI7ohlk65q2RVqU3s2uqN= TqivMjiIi7MVdaOeI7OJ9HH8z80B+zjbp3Bj4EYVnUq6bVNE26Jmimblumf82muY61Mds9kTD46= 9W1KqcGrxuumrAo6mLVRxTVajrTV2THE99Uzz39r4gH6usbh1nVrMWc7M69qKuvNFFui3FVX+lV= FMR1qvrnmXDTrGpU6zb1inJ4zrc0zRd6lPZNMRTT2ccd0R5nwAP09H1/V9Js12MHL6lmuetVauW= 6blHW7ut1a4mIn64jlx5WsanlWsi1k5ly9Tk36ci9NfE1V3KYmIq63fHEVT2cvgAfuZO7dw5Niu= xe1GaqLlubd3i1RE3aZiYnrzFPNc8T31czHmYYO6NfwsGjDxtRqptW4mLczbpqrtR6KK5iaqP92= YfjAPvv6zqd+5n3LuT1q9Q48amaKf8ACcVRVHm7O2Ins4dq0TOro0nEt0b6x8TGooiK7d7EqnJx= /wDSptVRRVMR38cVU/ZHa6MA/Y1/XcjUNQ1auxVVbxNQy/GJtVUxM9k1dTme/mIqnuSNya3FWDX= Tm9W5gUdTHri3RFVNPHV6s1cc1Rx2cVcxx2PyAH6up7h1jUrUWszLiu1Tcpu026bVFFFFVPPE00= 0xER+1PZHf5+XHn65q2dby7eVmVXKMzJjKv09WmIruxEx1uIjs757uIfnAP2sPde4cTDpxMfUq6= bdFPUt1TbpquW6fRRXMdamPqiYfmxnZcadc0+Lv/drl2m9XRxHbXETETz391U9j5wHd9v51y3o+= Nas73xcKxRH+Es5OJVVex557fAzFFX2xxVT2+h1zdmpWtY3JnalYpuU2b92arcXP2urxERz9fEd= r8sAAAAAAAel9A2051fXp1vMtz4np9UTb5jsuXu+I/wB3v+3h5/o+n5WrapjabhW5uZGRciiiIj= 0+efqjvmfREtr9paJjbd0HE0nEj5Fijiqvjia6v86qftlJH60RxACAAAAAAAAAAAAAAAAAAAAAA= AABLGFn0AITCgjCYRmkwKxOFnsQEFJgESYUBOEZJwCJwqVTERMyDhvzPHVj73C5J5meZ70mIkWG= EpMMpiUFY8Jwz4SY8wFmjrV8z3Q+hLdPVpiPP52QyicLMAMRknAIAAnCgqIyOAa3+TPfHqK5+db= 948me+PUVz8637zaAXKNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPz= rfvNoAyNX/ACZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/y= Z749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvH= kz3x6iufnW/ebQBkav8Akz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8me+PUVz8637x5M98eorn51v= 3m0AZGr/kz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8AJnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M9= 8eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ= 749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/wCTPfHqK5+db948me+PUVz8637z= aAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me9/UVz8637zaAMjyroT2Hl6= FdydY1zGiznTzax7c1RVNFP8AnVdnZzPd9kT6XqpxHogQAAAAAAAAAAAAAAAAAAAAAAAAAAEmFB= EADIAGE4SYZAZYIzmEmBWKcMkBBU4AcN6fldWO5yV1cRy4e8GKTDLhBWKTHLNOAYcSzs08zz6CI= 5nhzU08RxAJwKCMTheAGIpwDHhJZAMRZhAAAfoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgpwJ7oEwAAAnDGYZgMEZTDC52QK4655q+qGEwzlAYD= KYSYBjMehGREczwC2qe3nj7HIccAInDIBiLwnAJwjIBicLwgIKkwCcHCgPuAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOAEwkwKSCAgo4qp608s= 657OHHwJhJSWRwKx4RlwnAMeGVuniOfSRHayAOABBU4AABJhGQDEXhASUZJMAnBwqA+0AAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJ445Vj= X2iYYTzyjJOBWPBwoDEmF4POBTCgCcIyAYi8IAnCgIKnACKAnCMkQQ4ZU0zVVEQ5vB0ehRmAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABMse= FnvBGMwkwzSYDLBJhnMJwKxWIAE4FAQJAE4UBOEZJwCC8IBwigIkspgopmqrjzA5LNPEcz3y5Of= qAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= ABJVJAAAAEwJMKAxmE4ZpwKwFmAEOABOOBTgEAASYUBiMkmARzW6eI+1x245q+qHNAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgnHCn3= ggqcCgAAAgnCgMOEZpMCsRZhACYAEFSYABlbjmeQZ0xxCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJg4SVAQAXIAGAATCJMMgMs= OEZ8JMCsRZQDjlyUxxHEJRHnZAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACJMCgIHCCqAAAInCcdrIgFAFAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAO04ARBUDIAKR2qQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHHaAmAAUAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAmU5fkbu3Hpe19LjU9YvV2cTwlNublNE19WZ7uYjt4= YbZ3PoW5sa5f0LU7ObTa4i5FHMVUc88cxMRMd09/oa5dfp9WPZiblMVenPu/a5OWq1vpe3roOu5= +PGfb1DGt5VyKbWXR1uIiueyKo4q7vrbI7M1ivX9radrNePGPVmY9N2bcVdaKZnzc+d6dVobumi= Kqu0vNptbb1EzTT3h+z5uSJ5dO6Yd31bI2Hm63Zooryommzi0V/szdqniOfTERzPHn4eDbL0bpw= 6QdMr3HibvvYWLeuTFqq/m3LNN3iZiZoot0zEUxMTHdH1PI9jarkeG5WD0j7J6MLtOq9IGlYesX= dXpqt6hm3671qLE2uPBc3LVUxVNVMzx1fv8z07B3Fp+kbJ0nVNzbg06nwuHZm7m1XIotZFybcTN= VHMRzFU8zEREdnmgHZB1XTekXY+pVZFOBuXAyJxsevJvRRXM9S1RHNVc9ndEPmp6VejqqqKY3fp= fMzx23Jj/kDuY+LK1fS8XSf5WydRxLWn+Di541Xdpi11Z7qutzxxPMPwNN6SNi6nqFjTsDc+n5G= Xfri3atUVzM11T3RHYDtg8p6LN1alas7l1DeG/ND1jBwq7c0V4nERiUzVXExc4tUds/Jj/O7pdl= sdKXR5evUWqN36V1q54jrXurH889kA7iJTVTXTFVMxVTMcxMd0qAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADy/wCE5+7G5/F2v= +bqXwR+7c3/AA3/ALrtvwnP3Y3P4u1/XLqXwRv2dzf8L/7r7Vr7sq+v+HxLv3jT9Hie5P8AKHUv= 4u7/AG5be9EP7sdv/wADR/U1C3J/lFqX8Xd/ty296If3Zbf/AIGj+p6uNfYW/wB/Dz8H+3ufv5d= D+GBjX7/Rfi3bVM1UY+qWrl3jzUzbuUxP4qoj73Yvg46jg53RFotvEv267mLbqs37dNUTVbriur= sqjzc9/wBku5bm0TT9x6Fl6LqtiL2Hl25ouU88THniYnzTE8TE+mHgWb8GOvxu7Vp28PB48zzRT= ew5muI9EzFcRP28R9kPzb9G7V8MCf8Awtxv9q2v7u68d6UMvJzNf2Fpl/TsnVMTH29p82sC1VVE= 5M1URNUR1YmeZ4insjn5L1ijoLyqejC9s6rc1mq7c1enUIyZxZ4iItdTqdXrffzz9z9je3Q1i7k= 0Lb1q1rN7Tta0TBs4lrOtW+YrptxHHNPWiY7YmYmKuznzivP9sY2NOi7xrp6KMzaVdvbGfNObeu= ZExXPUiPB/4SIjmYmZ9PyX42wdibY1b4PmvbozdPmvV8SMmbORF2uJp6lFM09kTxPb9T1HQeine= GLa1bH1jpFzNWxtQ0vJwabN6m5VTRVdo6sXOJrmJ47X6u0+jK/oXRJquxatYt37mfF+IyosTTFH= hKYj9nrdvHHpEa769m5eR0NbD0i7l3KMK/qGb4Tmrsjq3KIp/m8JXx9rZTbnQ/sHRM7C1LT9Gqp= zMOqm5avVZFyqrrR3VTHW45+516joP0/J6LsTZ+p6rNzKwsi7kY2fZs9WaJrntiaJmeae7mOY7o= 7YfPszoh3hoGv6Zm3ekjPzMDCvUVThzF2mi5RT/mcTcmIjj6uAeadE2p6JpG0OkrL3Fg1ahp/hs= eivFprmnw1U3LvVp5ieYjrcdvoj7nXN3VafnbOu52n9EWZodiuKLlrVqb+RctUUzVEd9VPVmKu7= v75h7hoHQZbxNu7o0XUtc8Yt65ctXbdyzj9SrHrt1VVUzxNU9btqj0d0+l+Fe6BN23dH/kW50l5= NemRTFEYlVi5NrqxMTEdXwnHETEcfYD0noAy8jN6H9u5GVdqu3IxqrfWq7+rRcqopj7qaYj7ne3= XOjPbde0Nkadty5l05dWFTXTN6mjqRX1q6qu7meP2uHYwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAeX/Cc/djc/i7X9cupfBH/= AGdzf8L/AO67b8Jz92Nz+Ltf1y6l8Ef9nc3/AA3/ALr7Vr7sq+v+HxL33lT9Hie5P8otS/i7v9u= W3vRD+7Hb/wDA0f1NQtyf5Q6l/F3f7ctvOiGf/DHb38DR/U9XGvsLf7+Hn4P9vc/fy7NnV1W8DI= uUTxVTaqmJ9ExDVLYm6OnPe3js7d12rIjCqoi914x7fV6/W6v7VMc/sy2r1P8AxZlf6mv+zLX34= Fn/AJW7P9Zi/wBV5+bfo4fNsTpR37t3pKs7Q6RqvC05N2ixVNy3RFdmqv8AYrpqojiqiZmOe/7u= Jeoba1nduT0raxpeoZej16FZornFtWL9qrJpmJp469EVdaI7Z74jzPFfhN128zp10jGwZivJoxs= WzXFM9sXJvVzEfbxVT/PD7sXUcnSOnLpL1PDq6uTi6TmXbVXHPFcRb4nj6pBsVnbk2/p+TVjZ+u= 6Xi3qe+3ey6KKo+2Jnl1rpG3RmfE69n7G1nQr+ZayLdFV29mWvA0xPPMTVNUUxPojl4r0KdFW39= 77JzN0biy9QyM25lXojwd+Kf2YieapmJmapmZnnn0OmaHER8H/c9Md0a3iR/wCmoHs/TdvzXdv9= F+3snA17Dxdx5FePVmU4tdq51qarNc11Ux2xNE1xHFUdnd2vS9qbq0jM2liajka7p1ybWJYqzbv= jNHFquumP25ieKZmrmO3jta9dN+29Lt9C+yN1027n8qXMPAwaq+vPV8F4tXXx1e7nmO93bL2z0d= 7G6FcnM1TEzq8PW8bCqy7Nq/M3L92ni5RTRM9lPbNUz9UT9gPXMfde2Mm/RYxtxaReu1zxTRRmW= 6qqp9ERE9rzLpX3duLSOmnZ+habqdzH03Pmz4zYiimYuda9NM8zMcx2dnZLwLeU7Mu7fjJ27s3c= ek3+vTVby8nIm5Zqp9Hd5+Y4mJ9DvWtZuVqO/uh/Nzb1V/Iu4GFNy5VPNVc+GmOZnzzPpBtTAQA= AAAAAAD8PfG4MbbW28rVL/wAqqinq2aP9O5P7Mf8AOfqiXgHlU33zP/xqI+rxWz7gNmxrJ5VN9+= u49ks+4eVTffruPZLPuLgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367= j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyq= b79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+= /XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsay= eVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHl= U3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbN= jWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9= w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcM= DZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZ= LPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz= 7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79d= x7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/Xce= yWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTf= fruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU336= 7j2Sz7hgbNgIAAAAPL/hOfuxufxdr+uXSfgp52FiVbioyszHsVXZxvBxduxTNXHheeOe/vh7zq+= mafq2L4pqeFj5mP1oqm3eoiqnmO6eJfkVbE2ZMdu19In/AISj9Hvt6ymnTTYmO85y+dd0lVWpi9= E9vhrruLok31d1LNzsTSrWXYu37lymbWVb5mmapmOyZh6F0e9It3auiYW3t57c1TR7WHbps282r= Hrm3VEeers7Pu5ek2NlbYxuZw9IsYcz3zi1VWZ/nomJc8bdtW4mnG1LU7duqOKrdzInIoqj0cXe= t2fZw6XuIc+iKLsZiP0Ys6CbNc125xMvtsZeJrGj13tOy7GTZv2qot3bdcVUzzHHfDWvTPg/9JG= mzd/k3dmmYXhJia/F8zIt9bjnjnq0RzxzP873jE2dj6ZkXM3Rb9Om5NUzM02LfVsXezs8Ja56sz= /81PVn63Z8abk2om7TTTc4+VFM8xz9T51WM+z6VE1Y93h3RZ0E39A3RZ3LurWLWpZuPc8LZs2Yq= qo8J5q6q6+2qY74jiO2Inme5+3onRdnWeljc259Uv4ORpGtY17H8Woqr8L1bnU5ir5MRHZTPdPn= etJMcstNVq9nZ+1bmda2X0y6BjaZc5uV2bupRbrniJ7Jpp60TPHZzHHPofN0PbM1Pe/Q9uLR9Ov= 41i7d1excpu5E1RRPUo5qj5MTPPyo8z2SvoG6Na7lVyrRsiaqp5n/AL7e7/xO97b0DSNt6Ta0nR= MG1hYdrnq26OZ5nzzMz2zP1zMyK6HvXozydzdD2jbNuZ9jH1DS7ONNF6Imq1VdtWptzE9kT1Ziq= rt457ux1ux0R7y1Xo+z9r7t3VjZUW6sevSK7XWuU4824rpmmrmmmZiYqpjvmY4+rt7rujU83P3n= Z0rCuX7GNptrwmfNNVdEVTdpmLcxNMTz1erNXFUxEzMejs65rd/eutZ1i9GHrODHgZt0049FVvw= XhOrz1p5+XVT16O2eI5t3PNPLtRYmr5eeq/jtDquq9EfTBqm3adu5+9tIyNLt00UU49ddziIo46= kcxa57OI879+50Sa/Xruws/wAf0zwe3MbHs5Udevm5Nu5NUzR8ntjifPw7Bcyt5YOhYFjBwL1zx= m1NNyK4u1XLHWimmOZqmaoqpmvv7qot1TERzD6NG1HdOu61gWNS0vK0/CouU5VdUW6rfbFuKvBV= VTPyoiq5THPEczbq7OJ7HJnGcrzo7YeiUqlKuLsAAAAJVPCuidM27I25tmbGLd6uo5vNux1Z4qt= 0/wCdX90dkfXMegHlXTduyNwbknT8S51sDT5mimY7q7ndVV/RxH2c+d5+faKACgAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADdABkAAAADgAODgAOCIi= O4AAAAAfLXp2Bczac65hY9WVTTFNN6bUTXERPPEVd/D6erT6FBMJ1Y9BFMQoKAAAAATPAOLMyLG= Li3cnIuU27Vqia66qp7KaYjmZaqdIG5L26dzZGp1zVFjnqY1uf8AMtx3R9s98/XL0/4Qe6/A41G= 18K5/hL0RczJj/No76aPv75+qI9LxBYABQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAABugAyAAAAAAAAAAAAAAAAAAAAAADG5+yANXemD94+sf62n+= xS6mCgAoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAA//9k=3D" width=3D"793" height=3D"1121" alt=3D"" style=3D"margin-left:-1p= t; position:absolute" /><img src=3D"data:image/jpeg;base64,/9j/4AAQSkZ= JRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBA= QEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAAbAE0DASIAAhEBAxEB= /8QAGwAAAQUBAQAAAAAAAAAAAAAABwUGCAkKAgT/xAApEAABBAMAAQQCAgIDAAAAAAAFAwQGBwE= CCAkREhMUABUKFiEiGCUy/8QAFwEAAwEAAAAAAAAAAAAAAAAAAAECA//EACkRAQACAAYBAwMFAQ= AAAAAAAAECEQASITFBUQNxkfATImEygaHB8dH/2gAMAwEAAhEDEQA/ALAbx6gFUHCruua3rKsFM= MDvK/BjZu2mcwdmDZDW+LBBRGGRYS3M6bOyDrRuPBR8MxTTQatUEUk9Go5nvujzW3N/m+6DizK0= o6FqbmeLnGqRiK1tedm26ftJ0HdJ4cMNZg3jZduPhxR033S3cDFMvXg7ffZF4gi4TUQ1DjUFHp9= 5X/HtX1jtGj+vMdg+QCyRAYpjTcPIbgrE/dUprRB6grn4FnkcMMk5QE13122/asENE9d9lM6ZcD= 3yLdzI0R2hNAl83CT7Urt/ZDeV8go8yOCkS5trYN0fXsL2s8JJW8FS+6+iVIF5XN443LyCQNp+m= OeGmjF21EKI75QhG5S1Va1V6/c29TGEPGOaaqynLmVVZ0n5DeivTHcTv/oqsb6R5H7biswo6/zA= R/JqzMArSmcgqO9I6I2/7l9WUpWKtt1ioVPbRcvGSCSRhmh7190fj11yoSWJnproe4bApHmWTvI= 8ypSLBZX0HfVjy+ekINWmZQyfFYrBQQNjJWDmY2KcCMFpAuLw/Yj4+Eci3pV3osWHN1mF5GZrA7= Y8aNMXvGulpv1VN6i8idFo863tPapzVUrLE5OeZx2YQmOqpxeHpS6OrRAhJ3hMoNE5HkHUc0YPf= sPY5ndB78/T6q4QO8jXAnQBpKuMd1OJVcHPFklXbIKIs0zJaNhVYyylxUkKbIimtiRArWwwuCjT= 9ym5PBZfs5EJqrNXSP4EIxnu/cLlWyzLw+51V+k/SieWm0lBlWaVWINFrrduv8XgftJJ1jV1HVv= 1jM7KK3NyzOZElFJjJGidg1PbVEE3koViI0xY0FdziRMlYo8K/RWXfJP2bwWFLhzLhtuye/Lp4Z= l0nI5b0Xjk+sOi67qGaBq2dW9Zln37c8hDRWBwJogs9xkPH1pgJfTGSKjGrs45HNXrVsGjzfcyT= X0bKoZ3APKsIiPEfgmeePSS5Jp9w972bcZUnz2SeiSk4rlmYsJhVyNlyEKIcO14pXounKlhk+SO= G9m6T82a2RGLrOHCLNKQEAhXKzqy+v8AmbsOrqIlqnW4qt57yjL+icaAa4K27X1QDKoJVgpZSOi= JuEyfdyAFycQmDKMCxYWXL6CcPXbdZv8AhljnC6qN5RDkD8/7d4bCB5IRuhtY5mmq4sdSzfbCGP= uO44dSy/W4XqSOdh8fxmfK17c9h1i9sWBz2jHO0n/q7SdyOJuZiabG63cOXIo8qTaKtSDWEGB0t= y2WH7OstyXOLWuKVTKa11T1hsYKIp6t07h6S6LuGxZ3pU9BVw51eKBnBFgOkCL+Uy6TpCyboJH2= jlsjoOYOHzt1jZRk2dxFuvPcPOXJ9wcqZ6Fqo4968aTzmioPHdI5Nv0TYcBqGVR4hUhu3x12JZZ= y6PxCFi/t2XGSVgJEhI6JtI4D2cInd8M2xUBs4PXAHsnjW3Fa70U7RgNGlucZbeshMwqoLJtujG= IRq7o2cT8SQFbxM0fzFhRuItXxRFscWIk09ESe7RYU/piZxXcdO6y+9b/5gfH4zyRjdXGX25nVM= tCK8Mni67MeOM9GWI3gkxvSuevYx2vR1Rrx9XohjBGVzUzdlHxOULKIjLWVgM2O4cS2tNMprOnZ= Vog2zqIbuSLN07+i7R10HeLWVGpMn0u1eSo/IwY6wK9fRz9wfJyBJk2PVXHXbvIpwYdPlWrIhug= i+2bNlE2m7lRd5hHDh04VVoL6GmthjrX6E6Cv2CVXTF59F8AN/HFzHxTVNsxa47Cswkdlw6Snbq= mOYcq5YgK6r9qL1RZHjCnwiophdu9eNyWGg97dz4co+tE490FFnK/2nEbNUkBXc+u2cOFxFKxwe= strnbGNs6qqN9t9c5xjOdc49cev4yo+SKB+mWxVbb12aGnBi4wgebxxrRjNYqpplRpdxd8YfLn8= j7Cddx9D8v29KRnOz6hO4b8kfLPUcc0dfs6pt6HdDT4jGy01TWV2bLRQ5ursHkGc4SHJs1vcV1w= Owuu31HVX51OrYRChQK+vHVP7qm2g9m3Y2/ypOIJKams7OqOmjWTN9Cb5uTiTQtrjV2okRw4bMs= Lb6Jb7I667Zx8d28w0aZ7f7IMEoP8AYIleqehCRBxiSy9D7D19bcudOl/hbn0kEsquFVFPjRSTS= 093tT000xrrgZxSFMYAJ3AweR2dEAm+m+mREbuO2gw3Gu+ce/2MR81QbJ529c+uyaeu2fXP+fxh= W2h13t3eKp3jVNNN6e3Zv+e8XG+VDyg2VLJXAL769GQytlqaIPpVyF4+4zLh01Oa2a7HOBjG8eg= zwPfA9vvFxzp6lHGDVPVBsu9dNhqi7h0R11hBzj5KeufJO9sWn1Kh5OKB4dCmE7NCrXjsvPAiiT= 2ewyuhDFiPFi5KvkqtI5yFxo6UZoIMmmrt2q8SwjjXeAZfmelz5B0XOxUiaKvVdlnhMtN58RIO1= tv/AEq5ePJQs4XU29Meu6qm22fT/Ofwl0/AYzRBY6cqJEvBS0kCpRw29ESmU7KkAyRoVI27RXD0= y7T02ZyAAENMXSOiTxgUFMXzNwg5bpqajEUUFNn5898GSK5pBKXb1pxtxg82F3r0B4843AZZG6E= 4fizS/GDyRQzepB7/AAamMIDNxjF9MCmG6LMkOBDZ3tKaq3YSDdkUTsOs7FD6CsJRvd85enP3ks= 7b8kGLCqePUFyzPUYtHBUmMwuxGBR63PjnskGR5XUGLeakUipQQkRWPOWaOmj79KLKOGOrhyho2= VhXMaSrifN4k0mYkxJW8Fj5CLRBMtNJu6wAjxWay6xiQphtvI/fo1fTmeTGUOdd9t91S8iJudt8= 5X9NV2rawiNMF8yKqdJJADuXgF/+3jE6nQx/h5GTjORgXGrlCSYV1UFnB7Mk1zrtj2uW+mdsba+= 7XM5IXeUvv56YX0vHd5I2c1rx/wAMSGsLvK7PHu2RUjlJ8PRGeHcif7fC6wikxHTAGIkYnSSwwg= fOLR8WDKDpJHV2RtmzDyQquLSetUCrNg9wogi4OffK71p5AJHKqKWqrlR8xRhD+Yv4/ZwaSn2Eq= QHHY6CRj0aiTBnITEvlaz6SsyDYIEDviqQQaeON0FEwy+uY6WHG2VsRYDCbHISqYxWNkHhIMGNT= eZuG7R883Wyo4331P6OHe6WrhdFlh6s51GtllGo/Vq23yllCqisIZSZ97J6sYk4abJiVQBJ4NlE= qW1IB1iA0v9B60fmnjJ0igYDhzLLK7ZTdgZECy7HduRHM3KLyR00NNTDfHBczEs0Hn5pg6T7ubp= 3x5x+qLAZ8gcm1mn0FGjhYUQhMLNBjaGI0WQYkYrJ13TMWSYlUGD2OSNQFsptq2ESEGq8SbPt1W= rfXr/Fu67nvbvPHWd12GHj8dkX/ACIARHZhGk3Wo3LIDUkNWar41drKrYXUySVwr/v7c4109uMe= mfXFvacXZ3SNbjLaMTexB7A44kg9nLbGsA0gNNvhYwG+IDU3kmUwOVfCw4tq+0ZfAi8+g2WcpKu= EtVfzZ5/FUraF1lyF0YLhAbIRiR6Ry/eIYJFiXzO8VjBm+FflLP36yfoiknp8aSmiX+vu9nvztt= kyR3ovDIRi5gpqr5r+sf/Z" width=3D"77" height=3D"27" alt=3D"" style=3D"margin= -left:441.05pt; position:absolute" /><svg font-family=3D"Times= New Roman" font-size=3D"16" height=3D"41.33" version=3D"1.1" width=3D"209.= 31" xmlns=3D"http://www.w3.org/2000/svg" style=3D"width:209.31px; height:41= .33px; font-family:'Times New Roman'; font-size:16px" xmlns:xlink=3D"http:/= /www.w3.org/1999/xlink"><defs /><g><g><path d=3D"M0,0 L209,0 L209,0 L209,41= L209,41 L0,41 Z" fill=3D"#7c7c7c" fill-rule=3D"evenodd" /></g></g></svg></= span><a href=3D"http://www.anatomiadigital.org/" sty= le=3D"text-decoration:none">www.anatomiadigital.org</a>ISSN: 2697-3391= Vol. 8<spa= n class=3D"awspan" style=3D"letter-spacing:-0.2pt; color:#ffffff"> <= span class=3D"awspan" style=3D"color:#ffffff">No. 2.1, pp. 19 =E2=80=93</s= pan> = 33, abril - mayo 2025 = Revista en ciencias m=C3=A9dicas, salud p=C3=BAblica Art=C3=ADculo de revis= i=C3=B3n bibliogr=C3=A1fica.3.Ehrenfeld E. Effects of </spa= n>traumatic brain = injury </span= >can include heari= ng <sp= an class=3D"awspan">loss or tinnitus. Health= y Hearing [Internet]. 2021= [cited <= /span>2025 March 22].</s= pan> Available from: <a href=3D"https://www.healthyhearing.com/report/53276= -Hearing-loss-traumatic-brain-injury-concussion-tinnitus" style=3D"text-dec= oration:none"></a><a href=3D"https://www.healthyhear= ing.com/report/53276-Hearing-loss-traumatic-brain-injury-concussion-tinnitu= s" style=3D"text-decoration:none">https://www.healthyhearing.com/report/53276-Hearing-loss-= traumatic-</a> <a href=3D"= https://www.healthyhearing.com/report/53276-Hearing-loss-traumatic-brain-in= jury-concussion-tinnitus" style=3D"text-decoration:none"></a><a href=3D"https://www.healthyhearing.com/report/53276-Hearing-l= oss-traumatic-brain-injury-concussion-tinnitus" style=3D"text-decoration:no= ne">brain-injury-concussion-tinnitus</a>4.Molina-Delgado JR.<span= class=3D"awspan" style=3D"letter-spacing:-0.15pt"> Hipoacusia neurosensorial laboral= <spa= n class=3D"awspan">por exposici=C3=B3n al <= span class=3D"awspan">ruido. Revista Multidisciplinaria</s= pan> Perspectivas Investigativas [Internet]. 2023 [citado el 22 de</sp= an> marzo del 2025];<= span class=3D"awspan" style=3D"letter-spacing:12.65pt"> 3(2): 20=E2=80=9325. Dispon= ible = en: <a href=3D"https://doi.org/10.5281/zenodo= .10049358" style=3D"text-decoration:none"></a><a hre= f=3D"https://doi.org/10.5281/zenodo.10049358" style=3D"text-decoration:none= ">https://doi.org/10.5281/zenodo.10049358</a>5.Uma=C3=B1a Conejo<s= pan class=3D"awspan" style=3D"letter-spacing:0.05pt"> D, <= /span>Montero Madrigal D, </spa= n>Rodr=C3=ADguez Villalobos= G. P=C3=A9rdida de<spa= n class=3D"awspan" style=3D"letter-spacing:0.05pt"> la audici=C3=B3n en el<span= class=3D"awspan" style=3D"letter-spacing:0.35pt"> adulto:= Revisi=C3=B3n de<spa= n class=3D"awspan" style=3D"letter-spacing:0.35pt"> tema. = Revista Ciencia Y </span= >Salud Integrando Conocimientos</sp= an> [Internet]. 2021 [citado</= span> el 22 de marzo </s= pan>del 2025]; = 5(4): </span= >47-52. Disponible en: <a href=3D"https://doi= .org/10.34192/cienciaysalud.v5i4.300" style=3D"text-decoration:none"></a></= p><a href=3D"https://doi.org/10.34192/cienciaysalud.v5i4= .300" style=3D"text-decoration:none">https://doi.org/10.34192/cienciaysalud.v5i4.300= </a>6.Pomponio MK, </sp= an>Roehm PC. Aud= itory </span= >Dysfunction After Head </sp= an>Trauma: Causes, Evaluation,</sp= an> and Treatment. Current<= span class=3D"awspan" style=3D"letter-spacing:2.7pt"> Physical Medicine and Rehabilitation Reports [Internet]. 2024= [cited 2025 March<s= pan class=3D"awspan" style=3D"letter-spacing:1.4pt"> 22]; <= /span>12(3): 353=E2=80=93358.= Available from: <a href=3D"https://doi.org/10.1007/s4014= 1-024-00460-8" style=3D"text-decoration:none"></a><a= href=3D"https://doi.org/10.1007/s40141-024-00460-8" style=3D"text-decorati= on:none">https:/= /doi.org/10.1007/s40141-024-00460-8</a>7.Mata J. Manual<sp= an class=3D"awspan" style=3D"letter-spacing:0.9pt"> de </sp= an>audiolog=C3=ADa laboral<sp= an class=3D"awspan" style=3D"letter-spacing:0.9pt"> [Handbook of occupational<spa= n class=3D"awspan" style=3D"letter-spacing:0.9pt"> audiology]. Getxo, Biscay: Lettera Publicaciones, S.L. 525 pp. ISBN: = 978-84-121623-5-6.</sp= an> Auditio [Internet]. 2024</span= > [citado el 22 = de marzo del 2025];<spa= n class=3D"awspan" style=3D"letter-spacing:3.25pt"> 8: </span= >e111. Disponible en: <a href=3D"https://jour= nal.auditio.com/auditio/article/view/111" style=3D"text-decoration:none"></= a><a href=3D"https://journal.auditio.com/auditio/art= icle/view/111" style=3D"text-decoration:none">https://journal.auditio.com/auditio/article/= view/111</a>8.Garcia-R= ey <spa= n class=3D"awspan">T. Detecci=C3=B3n y</spa= n> prevenci=C3=B3n de la<sp= an class=3D"awspan" style=3D"letter-spacing:0.4pt"> hipoacusia. Acta Otorrinolaringol C= ir <spa= n class=3D"awspan">Cabeza Cuello [Internet]= . <span= class=3D"awspan">2022 [citado el<sp= an class=3D"awspan" style=3D"letter-spacing:0.9pt"> 22 </sp= an>de marzo del</spa= n> 2025]; 49(1): 25=E2=80=9326.Disponibleen:<a href=3D"https://www.me= digraphic.com/cgi-bin/new/resumen.cgi?IDARTICULO=3D107505" style=3D"text-de= coration:none"></a><a href=3D"https://www.medigraphi= c.com/cgi-bin/new/resumen.cgi?IDARTICULO=3D107505" style=3D"text-decoration= :none">https://www.medigraphic.com/cgi-</a> <a href=3D"https:/= /www.medigraphic.com/cgi-bin/new/resumen.cgi?IDARTICULO=3D107505" style=3D"= text-decoration:none"></a><a href=3D"https://www.med= igraphic.com/cgi-bin/new/resumen.cgi?IDARTICULO=3D107505" style=3D"text-dec= oration:none">bin/new/resumen.cgi?IDARTICULO=3D107505</a>= 9.Morros-Gonz=C3=A1lez<spa= n class=3D"awspan" style=3D"letter-spacing:4pt"> E, <s= pan class=3D"awspan">Morsch P, Hommes<sp= an class=3D"awspan" style=3D"letter-spacing:4pt"> C, <= span class=3D"awspan">Vega E, Cano-Guti=C3=A9rr= ez C. Retomando los sonido= s: Prevenci=C3=B3n de la hipoacusia= y rehabilitaci=C3=B3n auditiva en<spa= n class=3D"awspan" style=3D"letter-spacing:2.8pt"> las </sp= an>personas mayores. Revista </spa= n>Panam=C3=A1 Salud = P=C3=BAblica <= /span>[Internet]. 2022 [citado</span= > el= 22 de marzo<= /span> del 2025]; 46: e86. </spa= n>Disponible en: <a href=3D"h= ttps://iris.paho.org/handle/10665.2/56140" style=3D"text-decoration:none"><= /a><a href=3D"https://iris.paho.org/handle/10665.2/5= 6140" style=3D"text-decoration:none">https://iris.paho.org/handle/10= 665.2/56140</a>10.Corr= edor <= span class=3D"awspan">Rojas GF, Ordo=C3= =B1ez = Ordo=C3=B1ez LE, = Franco </span= >Aristiz=C3=A1bal CF, Tolosa </= span>CM. Gu=C3=ADa para<span= class=3D"awspan" style=3D"letter-spacing:-0.5pt"> el </s= pan>diagn=C3=B3stico y<span= class=3D"awspan" style=3D"letter-spacing:-0.5pt"> tratamiento de hipoacusia<sp= an class=3D"awspan" style=3D"letter-spacing:-0.5pt"> neurosensorial en adultos y</span= > ni=C3=B1os. Acta otorrinolari= ngol <= span class=3D"awspan">cir cabeza cuello</= span> [Internet]. 2024 [citado<= /span> el 22 de marzo<sp= an class=3D"awspan" style=3D"letter-spacing:20.9pt"> del <= /span>2025]; 52(3):266=E2=80=93282.= <span= class=3D"awspan">Disponible en: <a href=3D"https:/= /revista.acorl.org.co/index.php/acorl/article/view/817" style=3D"text-decor= ation:none"></a><a href=3D"https://revista.acorl.org= .co/index.php/acorl/article/view/817" style=3D"text-decoration:none">https://revista.acorl.org.co/index.php/acorl/article/view/817</a></= p>11.Corriols Noval P.<spa= n class=3D"awspan" style=3D"letter-spacing:-0.05pt"> Impacto cl=C3=ADnico del diagn= =C3=B3stico = gen=C3=A9tico en<spa= n class=3D"awspan" style=3D"letter-spacing:-0.05pt"> la hipoacusia del adulto [Tesis = de <sp= an class=3D"awspan">doctorado, Universidad = de <sp= an class=3D"awspan">Cantabria, Santander, = Espa=C3=B1a];Esta revista est=C3=A1 <sp= an class=3D"awspan" style=3D"font-size:8pt; font-style:italic">protegida</s= pan> bajo una <s= pan class=3D"awspan" style=3D"font-size:8pt; font-style:italic">licencia</s= pan> Creative Commons = en= la 4.0 <spa= n class=3D"awspan" style=3D"font-size:8pt; font-style:italic">International= . Copia de la licencia: <a href=3D"http://creative= commons.org/licenses/by-nc-sa/4.0/" style=3D"text-decoration:none"></a>= <a href=3D"http://creativecommon= s.org/licenses/by-nc-sa/4.0/" style=3D"text-decoration:none">http://creativecommons.org/licenses/by-nc-sa/4.0/</s= pan></a>D<s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-s= pacing:0.45pt; color:#ffffff"> i a </span= >g n = =C3=B3 s<span= class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-spac= ing:0.45pt; color:#ffffff"> t i <s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#f= fffff">c o<sp= an class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-sp= acing:1.65pt; color:#ffffff"> M =C3=A9 d i c oP<sp= an class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-sp= acing:0.4pt; color:#ffffff"> =C3=A1 g </s= pan>i n = a 30 | 33= <img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQE= AYABgAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFhwXExQaFRERGC= EYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eH= h4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCARhAxkDASIAAhEBAxEB/8QAHAAB= AQACAwEBAAAAAAAAAAAAAAECCAMGBwQF/8QAWBABAAEDAwAECAsDBgsGAwkAAAECAwQFBhEHEiE= xExQXQVFVlNIIFiJUVmFxgZKT0TI3dBWRobGysyM1NkJSc3WChMHTGCQnM6LDJWJyJkNFRmOjwu= Hw/8QAGwEBAQEBAQEBAQAAAAAAAAAAAAECAwQFBgf/xAA1EQEAAQMCBQMBBgUEAwAAAAAAAQIDE= QRSBRMUMZESIUFxMzVRYYHwFSJCodEGIzKxNMHh/9oADAMBAAIRAxEAPwDpoD+lPxQANEosoAAE= CSqSLKAKgAkkJPeE94pIACT3Is9yAABAkqkiysBAIkosoKkrHckrHcqACCSEiwACglXmVKvMCEh= IIAKAJJAAQsJKLKKSACD9HDteCt8z+1V2y+XCtde51qo+TT/W/RYmWK5+BjPeyYz3sswANKAAJK= pIAAADIAKgAqsZCQPgAlCEqnsYkiNQkosoKMZ7e1ap8zGGKpy1TAksuWNTDeQFpjsIgmQWYRqUh= J7wnvAAASUVBRJUnu5QYVT5mE9yzPM8pPc5z7ukIkwqpgliLKfZ2osLTT1qo9Dk+5KY6sfWy5da= acQ5VVe76AHocAAaJRZQAAIElUkhZQBUB9uBpebm4OdnY9masbAt03Mi5PZFMVVRTTH2zM931T6= Hb+jros17fGi3tV0vO02xZs5E4805FdcVTVFNNUzHVpmOPlR/S897VWrNM1VziOzrbs13JxTDoU= 96PY5+DxvD1tof5t3/AKZ/2eN3+ttD/Nu/9N5f4tpN7t0N/a8cOXreV8H/AHxZpmbWTo2R6KaMi= uJn8VEQ6JuzZe59rXONc0jIxrfPEXojr2pnzcV08xz9XPLva12nvTiiuJlzr0123GaqXX57kWe5= HrcAAIElUkVYAESUWU5gWElY7klY7lQAQSQkWAAUEq8ypV5gQkJBABQBJIACFhJRZRSRaYmqqKY= jmZ7kfZgWv/vao+qlJnDMziH02aIt24pjzd7MHNyGM97JjPeLAA0oAAkqkgAAAMgAqACqxkJA+B= JWUSSElJhkiNMZRlLCe/hJnCwkx28oyYzDm3EiSqSKR3s0pjiFVBOFFGEwMp704BAQCUVEX4GFc= 89jKZ4hxpVKwhCjnhtAEBaKeZ59COWmOIappzOSZSUZVMeJdXPD6QHVxABolFlAAAgSVSSFlHPp= 2HlajqGPgYVmq/k5FyLdq3T31VTPEQ4GxXwZ9gzh4kby1SzHh8imY0+irvotz2Tc+qau6Pq+15N= fq6dLamue/wAO+msTfuRTD6N57OxdlfB71LTbc03MqvwNzLvRH/mXJuUc9v8Aox3R/wD3L7fgm/= u6zv8Aa1z+6tP3/hDTHkk1iP8AVf3tL8D4Jv7us7/a1z+6tPy1Vyq5oaqqu81f+n26aIo1VNMfg= 9T1vVcDRdMvanqeTTjYlmIm5dqiZinmYiO765h1WOljo9nj/wC02L+Cv3XF0/8A7pNc/wBXb/va= GnTpwzhlGstzVVMxiWdbra7FcU0w3m0Ddm29fqmjR9bwc2umOardq9E1xHpmnv4+5+nnYuNnYl3= GzLFvIx7tM03LdymKqao9ExPe0MxMnIw8q3lYl65Yv2qoqt3LdXVqpmO6Yluf0S7hvbo6P9L1fJ= qpqyq7c28iYjjm5RVNMzx5ueOfvcuI8MnR4rpnMNaTWRqM01R7tcOnfYNGy9ft39Opq/kjP5qsR= M8zarj9qiZ9HbEx9U/VMvN23PwktMtZ/RVnXqrcVXMK7ayLc+emetFM/wDpqlqfpUzTqeLNNm1f= mL1HFu9zNFfyo7KuO3ifPw/QcJ1VV/TZq7x7Pl66zFu9iO0vedP6O8Kvoyo29XoVVWu5GlVanGp= +Kz1aLvXiqjH8Jx2VdXsmOfNM+d0jb3Rxo2dtjb+rapum9p97XMivGxrNOnzdiLkXJoiJqiuO/i= PNHe9Kubc6b691U6/Tq2k0RExP8n05t6MTiKerx4P0T39/f2vl1HY3ShmWtIteKbUsW9J1CvPxr= dm7dinwlVybk0zz/m8zMREcdnnfJt6qujMc2Pec9/r7f9PbVYpn+ifb2dH0Dojrz8/VsHLz9Qt3= NPz6sTwuPp/hbVcRETFXWmunie3mae3jsfp6T0c7Z0zTd9YW48+u5l6NNiLeXasVT4CiunrU3Io= iviqaueJpnu6vf2ubeWsdJG0IzLm5Ns6Jm6fnZ3jkVXLNV6xavcRT8maa4mn7Kvr4878nae6N+7= n3BuTU9I21pesRqduxTqWHctc2OKKerbmIqrie6mrzz5/q49M16u7RNfrj0+3aY/JyxZomKfT7v= jwejrQ6NO0S/rW6b2De1+5VTptu3gzcjq9aIoruT1o463NPZ5ut9U8fTp3RRh0xkU63uSvBu29b= jR7UWcKbsXblUUzRVz1o4iet9z5r2+Nz7UvWdC1vbeiXcrSrs3cOnMx+vXhTX8uIommrjiOYmO/= js9Ecfi0dIm4PFqbV+nEya41mjWartyietXfpiOIniYjqdndERPomHoijX1xmmr2+sf2/RxmrTU= 94di3H0V4Gn2cy5p25pz69O1CxhZ1m5gzamibtVMRMT1pir9qP1fqal0c0a/u/WsOa68K1pVy3i= 0fyZpEeBqiaIq5nm5z1uZ7eZqn6+50zL6SNcyKtXm5i6fH8rZtnMv8AFuv5NdqYmmKfldkT1Y55= 5+52La28d87o1DW7OnbY0fXIzr1Gbk4l6zM27VcUxRFVPNcT3RHfM/c5XLeuop9VVXb5zHzhuiv= TVTiI7uldI21ruzt15GhXcujL8FTRXRepo6nWpqjmPk8zxP3y69Hc7V0sZu4s/eV+/ujTLGnal4= K3TVYsxxTTTFPyZ/aq831v1dS6JN1afs+rdF+5p04NONTkzFN6qa+pVETHZ1e/tjzvqWtTTRao5= 1UZn+7x12Zqrq9Ee0OgAPY86SEuy9H+ydY3vn5OFo1eLTdx7UXa/D3Jpjjnjs4iWLl2i1TNVc4i= G6KKq5imnu60P2d6ba1HaWv3dF1WbE5NqimqqbNc1U8VRzHbMR6X4zVFdNymKqZzEs1UzTOJEq8= ypV5m0QkJBABQBJIACFhJRZRRnZom7ciiPv8AsfqUxFNMUx2RHY4cK14O11pj5VTnYqlyqnMgDL= IxnvZMZ7xYAGlAAElUkAAABkAFQAVWMhJIfCSIqSsAIglUsOGVU9qcszLpEIKkwipwcKSQSACZA= BUnvRZ70CA4AVEmGTGqeIQYVT2sPOySYYlqEARUAjtngwZZW457XIkRxHBzx3ukRhMkosoqPoAd= XAAGiUWUAACBJV9eiaXm61q+LpWnWpu5WTci3bpj0z559ER2zM+aIZqqimJqntDURMziHcOhLYt= e9N00+M0VRpOFMXMuru6/+jbifTV/VE/U2+tWrdm1TatUxRboiKaaaY4imI7oh1/o72rh7P2xja= Nh/Kmj5d+757tyf2qv+UeiIiHYrlNU0TFM8Tx2TL8NxHWzqr2fiOz9NpNPFi3j5+XgXwot60xTR= svAuc1VdW9n1R5o76Lf/wDKf93637/wTv3dZ/8Ata5/dWnUel3oks6Lt/Vt3X9w5efmeEi7cpuW= aaYrqrriJ7Yns/adu+Cb+7rP/wBrXP7q09t+bP8ADoi1Off3+rzWuZ1ea/wdl6f/AN0euf8A0W/= 72hpy3F6f/wB0muR/8lv+9oadPof6f+xq+rycV+0j6Daj4LMV+TOvr89X+ULvU+zq0f8APlq/p+= Hl6jm2sLAx7uTk3qurbtW6Zqqqn7Ibo9Fm3Lm1th6Zo1+KPGLVua780zzHhKqpqq7fPxM8c/Ucf= u08mKPnJwqieZNXw+bpr6kdFm4ev3eKTx9vMcf08NN9I/xrh/6+j+1Da34Smq2sDoszMeqvi7nX= bdi3T56vlRXP9FMtUtI/xrh/6+j+1DHA6ZjTVz++zXEpib9MN1OkvW8vbexdT1vAptV5OLaiq3F= 2JmiZmqI7YiY9PpeCYPwhN228u3XmabpF/HiqPCUUW66Kpjz8VdaeJ+viXtHTt+6XX4//AEKf7d= LTXlw4No7OotVTcpz7uuv1Fy1ciKJbx41ek732Xbu1Wqb+nariczRVxPEVR2xPoqpn+aYeC9COl= 720ncm6tJ2xe0SL+Feox8urUKbkxV1a7kUzR1Psq7/qeudAGNkYnRHodvJoqorqouXaaZ/0a7td= VM/fExP3ut9C1dFzpV6SKqOOPHqI++K70T/S8NqqbVF63T7xH+Xprp9dVuqe/wD8eI9MFjX73SZ= nY+s04l/V7k2aaqcCmubdUzbp6sUxV288cfe7BonQPvjUcSnIvzpunTV3Wsm9V1+PTMUU1RH8/L= 0fRNLx874UOu5d+iK5wMK3dtRPmrm3bpif5pqfJ8InpF3HtjXMLRNAyacPrY0ZF69FumqqrmqqI= pjrRMRHyZ83n/n+nTrtRXy9PYxE4h4p01qn1XbucZdSn4PG8PWuh/m3f+mw6GdG3noe/twaNt6/= ok5+Ha8Fk15nhJtVRFcfsdWOe/08PSfg37p17dOjatf13UK825YyKKLc1UU09WJp54+TEPzeiT9= /e/Ptq/vIcLur1E03bV6Yn0x+H5w60WLUTRXbzGXQt3bN3fvbpfztH1HK0W3q9vBoyLldqblNia= IiiIiOYmrn5Uebh7zuHbObqPRZc2pZvY9OZVp1vFi5XM+D61NNMTPMRzx2eh4T066/rG3OmnUM/= RM65hZNWHZtTXRETM0zTTMx2x6Yj+Z7VurV9SxOhS5rePmXLeoxpVq9F+IiauvNNMzV6O+ZcdVz= posTGMe2Pq3Y9EVXInv8tcd49GGubW1nRtLz83Trt7V73gbFVmuuaaautTTzVzTHZzVHdy7THwe= N4T/+LaH+bd/6bote4t57x3BpVq5n5Oo6nZvx4hHVp5ormYnmOIjz0xPb2dj3HE2f0212KK8jf+= HYuT30RHW6v1c+DfT1Wo1Onppiq5TE/P7w8di1ZuzMxRMw803J0Gb20fTq8614hqdNuOa7eJdqm= 5EeeYiqmOfsjmfqfvfBE/ys1r+Bp/tw9v6PdO3XpmlXsXdusY2rZHhetZvWqJpmKOI+TV2R5+f5= 3mvQvYtY3TnvqxZoii3TVc4pjujm7y8FXELmo0923cmJx8x9XqjS0WrtFdPtl5v8Jj97Wd/D2P7= EPNHpfwmP3s538PY/sQ80foeG/wDi2/o+Vq/tqvqJV5lSrzPc86EhIIAKAJJAAQsJLmwrPhLvWq= /Zp73DxM1RER2y/Ux7cWrUU+fzkzhmqcOSUWUc3IAAYz3smM94sADSgACSqSAAAAyACoAKrGSe4= knuRWKopCQMap4VjPektQhMAy2ncvIiC8dqSpKiAAAIMZ7xZ70FiQAUcVc81M654jhxyzKgDOCE= k4UGssWVuOO1IjmeHJDVMM1SANJCTCLKA+gB1cQAaJRZQAAIGy/wbtgxo+lRunVLURqGbb/7tTV= zzasz5+PTV3/Zx6Za36bk04efYy6sazkxarivwN6Jmivjt4q4mJmPveqf9oHedNMU0adoNMRHZx= j3ez/9x8rilrU36OXZj2nu92juWrVXruNit367iba25m61mz/gsW1NXHnrq7qaY+uZ4j72ts9Pe= +pqmYp0uI57I8WmeP8A1PwukDpQ3JvXTLOm6pRg2Ma1d8L1cW3XR16oiYjrc1TzEcy6O8/D+D00= UTOopiZddVxCqur/AGpxDv8Au3pc3ZubQcjRdSjA8VyOr1/B2Jpq7KoqjiefTEPYPgm/u7z/APa= tz+6stYHfOjzpS1/ZGi3dK0rD02/Zu5FWRVVkW65q600008fJqiOOKY8ztr+HxVp+Xp6Yj3y56X= VYveu7Pw251XTsHVcC7gali2srFu8eEtXaYqpq4nmOY+2Idfjo62LHExtTSPvxqXhX/aF3l6r0L= 8m7/wBRJ+ELvH1ZoX5N3/qPiUcJ11PtT7fq+lVr9NV3/wCmxmj7f0LR5qnStIwcGqqOKqrFimiZ= j0TMQ+nU8/D0zAu5ufk2sbGs09a5cu1RFNMfa1e1Hp731lWposRpWFP+lYxpmr/11VR/Q6JubdW= 4ty3Yua5q+Vm9Xtporq4opn6qY4iP5nW3wLUXKs3Zx/dividqmP5Idn6cN/fHbcNNOF16dJweaM= aKo4m5M/tXJ+3iOI80fXMujaR/jXD/ANfR/ah889yUzNNUTTMxMTzEv01rT02bXKo7PjV3ZuXPX= U3t3TomHuPQMrRc+q5GLlURTcm1VxVxExPZPb6Hn2J0DbEsZNu7XGpZFNE8zbuZPyavqniIn+lr= HGu63651H2mv9Sdd1uY4nWNQ4/ia/wBXw7fBtTaiaaLuIn6vpVcQs1zmqjLb/pF3pomw9uVVVXL= EZFNnweFhUTHWrmI4piI81MdnM+aPuh5f8EnIu5Oqbqyci5VcvXfF67ldU9tVUzdmZn75eBXbly= 7XNy7cruVz31VTzLlw87NwpqnDzMjH6/HW8Fdmjnju547/ADvRRwaKNPVbir+ar5c6tfM3YrmPa= Ph7vqu7MXaPwmdTzNQueDwcqzaxr9fHMURVbtzFX3TTHP1TLvnST0caH0kU4eqWtUnHyLdrqWsn= H6t23ctzPMcxz2988TE+fztWtAxLu491abp2XmXfCZ+Vax6r9czXVT1qop57Z7eOe76nvWJ0A3s= SmacTfWfj0z5reP1f6rjx6yxb0tVExc9NcR+Dvp7tV6mqPRmmZd66Jdg29g6fm4lvU69Q8bu03J= qqs+D6vEcccczy6Z0Sfv6359tX95DuWz9DwujXbOdd1jct/Ntzcm9cycuvq9WIp4iimJmfRPd2z= MtUtzbiydR3dq2t6ffycOM7KuXaYouTTV1JqmaYnifRw4aPT16uq7HqzmO/6uuou02Io9u3w7d8= Jqf/ABZzf4ez/Yh77oWPg726GcLTreX1LWbpdvHruW+KptVxTETHHpiqO76mnWVkZGVem9k37t+= 5PfXcrmqr+eXLhZ2dhRPieZkY/Pf4K7VTz/NL69/hdVyxboirFVLwWtbFFyqqY9qntej7PwuiXp= T21k6rrlrLx87w9vw04/gqbNXU6tMz8qrvmqI57OHq/SVtHWt114VzRt45uhU2KaorpsRM03eeO= Jnq1U9scT6e/wA3n09zc7NzerOZmZGTNHPV8Lcmvjn0cy5cfV9Wx7cWrGp5tq3T3U0ZFVMR90S5= XuF3rlVNya/5o/JujW26ImmKfafzbj9Ge1tX2thZljV9z5OvV37kV27l+Kom3ERxxHWqqdB6If3= 9b8/+qv8AvYa8TruueudR9qr/AFcFnUdQsZFzIs5+VbvXf/MuUXqoqq+2YnmWKODXMV+quM1R+D= VXEKc04p7PQvhMfvazv4ex/Yh5o5MnJyMq9N7Kv3b92Y4mu5XNVU/fLjfa0tmbFmm3M5w+deucy= 5NX4iVeZUq8z0OaEhIIAKAJJADK1RNy5FEechX0YFrmrwtUdkdz7UopimmKYjiIZMTOXGZzKSiy= iIAAMZ72TGe8WABpQABJVJAAAAZABUASVVCQkVioiJCVSxWe1GZagFRFyEKiqEgggvCSNZABMJP= eiygAJVJKsKu2eUZJLm2nCKAgcLTHM/UBTHHayU4dGEAFhJRZQR9ADo5AA0SiygAAQJKpJCygCo= AEkJPeE94EiKAk9yLPcgAAQJPcqSKytV127lNy3XVRXTMTTVTPExMeeJfb/LOr+tc72iv9XwwMz= RTV3giqY7ObMzMvLmmcrKv3+r3eFuTVx/O+dZRYpiOyzMz3SVjuSVjuaZAEEkJFgkAUEq8ypV5g= QkJBABQBJIR+hhWupb69UfKq/oh8uJa8Ld7f2Y7ZfpMzLFU/CgMsJKLKAAAMZ72TGe8WABpQABJ= VJAAAAZABUEmFFViSSSCMap8ysZ70lYQBGl8yLPciILxKMlViMphEVAAJRU4RYE4UBjPYwZ1T5m= PDMtQgJwirwxXkMCM6Y4hKI5llMLTBKcqxOWmMrKEgpKcKCOYc3imX82ufhk8Uy/m9z8Ms9Ra3R= 5OTc2y4RzeKZXze5+E8Uyvm9z8J1FrdHlrk3NsuGUc84mV82ufhTxPK+bXPwnUWt0eU5NzbLhHN= 4nlfNrn4TxPK+bXPwnUWt0eVizc2y4Ulz+J5Xza5+FJw8v5td/CRqLW6PK8m5tlwDn8Ty/m1z8M= niWX82u/hleotbo8pybm1wDn8Ty/m138MnieX83u/hlOotbo8kWbm2Xzz3jmnCy/m138MnieX82= u/hleotbo8nJubZcI5vE8v5td/DJ4nl/Nrv4ZOotbo8nJubXBPcjnnDy/m138MniWX82u/gk6i1= ujycm5tlwDn8Syvm138EniWX82u/gk6i1ujyRZubXAkvo8Syvm138EpOFl/Nrv4JOotbo8rybm1= wwOfxLK+bXfwSeJZXza7+CTqLW6PKcm5tl88o+icLL+bXfwSeJZfza7+CTqLW6PK8m5tfNKx3Ob= xLL+a3fwSsYWX82u/gleptbo8pybm1wD6PEsv5td/BKeJZfza7+GU6m1ujycm5tl88jnnCzPm17= 8EniWZ81vfglY1NrdHlZs3NsuAc/iWX82vfhk8Sy/m178Er1FndHlOTc2y4EnzPo8Sy/m178Ek4= OZ82vfgk6izujycm5tl8w+jxHM+bXvwSTg5nza9+CTqLW6PJybm2XzD6PEcz5re/BKeI5nzW9+C= TqLO6PK8m5tl869szxEczL9vTNobq1PG8Z07buqZdjrTT4S1jV1U8x3xzEP0sLo+3rFc117U1mO= O7nDr/RidXYj+uPJybmP+Mvxce1Fq3FPn88uV2H4i70+iuseyV/ovxE3p9FtY9kr/AEY6uxvjy5= ci7tl10di+Iu9PotrHslf6HxE3p9FtY9kr/ROrsb48nIu7ZdclHY52JvT6Lax7JX+ifETen0V1j= 2Sv9Dq7G+PJyLu2XXR2L4ib0+iuseyV/ofETen0V1j2Sv8AQ6uxvjyci5tl11j53ZfiJvT6K6z7= JX+jH4h71+ius+yV/odXY3x5WLFzbLrg7H8RN6/RXWfZK/0PiJvX6K6z7JX+jXV2N8eV5FzbLrg= 7H8RN6/RXWfZK/wBD4ib1+ius+yV/onV2N8eTkXNsuuI7J8RN6/RXWfZK/wBE+Ie9forrPslf6L= 1djfHk5FzbLrg7H8Q96/RXWfY6/wBD4h71+ius+x1/onV2N8eTkXNsuuJy7J8Q96/RXWfY6/0Pi= HvX6K6z7HX+h1djfHk5FzbLrg7H8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHlORc2y64Ox/EPev0= V1n2Ov8AQ+Ie9forrPslf6L1djfHk5FzbLrQ7J8Q96/RXWfY6/0Sdh71+ius+yV/onV2N8eWuRc= 2y61PenDsnxD3r9FdY9kr/Q+Ie9forrHslf6HV2N8eTkXNsutTHZ2I7N8Qt6fRXWPZK/0Sdh71+= iuseyV/odVY3x5Xk3Nsut98I7J8Q96/RXWfZK/0T4hb1+ius+yV/odVY3x5OTc2y64yh2H4hb1+= ius+yV/ofEPev0V1j2Sv9DqrG+PJybm2XXkl2P4ib0+iuseyV/oTsTen0V1j2Sv9DqrG+PJybm2= XWx2P4h70+ius+yV/ofEPekf/lbWPZK/0Oqs748rybm2XXB2L4ib0+i2seyV/ofETen0V1j2Sv8= AROqs748rFq5tl1ye9JniHZJ2JvT6K6x7JX+jjq2PvLnj4r6v7JX+h1VndHleTc2y66OwfEfeP0= Y1f2Sv9D4j7x+jGr+yV/ox1FrdHleTc2y6+xdi+JG8foxq/slf6J8R94/RjV/ZK/0Ootbo8nKub= XXk4dh+JG8foxq/slf6M6NibzqjrRtbV5j+Er/Q6i1ujycq5tl1+I4jgl2P4ib0+i2seyV/ok7E= 3p9FtY9kr/RrqbO6PJyrm2XW+xOHZPiJvX6K6x7JX+h8RN6fRXWPZK/0XqbO6PKcm5tl1yCYdj+= Im9PorrHslf6HxE3p9FtY9kr/AEOps7o8nJubZdbHY6tib0+iuseyV/onxF3p9FdY9kr/AEOps7= o8pybm2X6PAD8C/WgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD79v6Vla5rWLpOHTzfybk= UUzPdTHnqn6ojmZ+x8D3n4P20/ENKr3Hm25jJzKerjxPfTa/wBL7ap/oiPSg9G25pGJoeiYulYV= HVs49EUx6ap89U/XM8z979EiOBAAAAAAAAAAAAAAAAAAAAAAAAAcVc8yzrniOzvcYJwjIBiLwgJ= MCgIkxyvADHjhO9mkwDHhGRwDDgZcJPcDivVdSjmO/wAz4/O5r1XXrmfNHZDjmBWExDGaWcwA4+= IThyTDGY4US3RNdcUx53300xTEUxHEQ48S31aetMdsudFYpLLhBEJXhBMJwjJOBUlOIZSgNRAGk= AAAAAADl+1tbFx9Qp1PT68eLmVcw6rmHVH7VNy3MVzEfbRFcfbw7PG29OqysKIxaJtaPdm1rU01= TPhOra8NVM+jmabtv/dp88g8+OXctH0zS8/B03WrmNTRj4l3I/lK1RMxE00R4W3H1daJ8H/ux5z= WNP0rS8bUNWoxaLuPlZdidNtXJnjwVVMXq/t4iaKJ+2QdNHoVe2NPs39QsXMejjVbtVGi1TVPya= fBeGpmPTz17VH31eh1nc2HaxKMLDx8Oqi9i4VurOucT23bny+30cRVRT9sA/Dct+xXZtWrlVdqq= LtPWpii7TVMRzMcVRE80z2d08T53bNcr0jQ8qNCo23j5seL26qsu7cuReu1V24q69E01dWKYmey= OrPZHa59O0HTM7L2xau0UWreRpt7JyO2qJvVW670xE9WJntiimPkxzx3RyDo47nuCjbuVoGVkY0= 6RayseqjwP8m2sziqJniabk3aer3czE8xPZL9CbG36922tq29vYtFrJot0VZc3Lk3qLldqKutT8= rqxETPdxPPH1oPPHLTYrnFqyYrtdSmuKJpm5TFfMxM9lPPMx2d/HDsmLGnaNtfT9Tu6NjapkZ92= 7FVWVNfg7NNuYp6sRRVHyp55mZn0cQ4rmLh5e2NSzsbTYxrs6pYt2bfXmubdFVFyepEz2zHMR39= vZCjrZ//ALveh5ek6VXpuqadXjaFZzcDDru8Yd3IuZFuu3x1uvXMTant5iY5757H5moXNK0W7i6= RG2cbUPCY1m5cyrly5F6/NyiKubU01RTTETV1Y7J/Z7fOg/A1XSbun6jn4dV6xXOFX1a6puRTNf= bx8mmZ5n7I5fnO77ixMa/rO9712x1rmNMVWZrj5VEzfopn7+JmHz6jc0rRqsTSPi1j5/hcazcuZ= Ndy7F69NyiKubUxPFMRNXEfJnu7QdVosV141zIiq1FFuaYmJuUxVPPPdTM8zHZ2zEdjG7buWa+p= dt126+Inq1RxPExzH88TEu5a1p+nadc3Jes6faqjT9VsUWbV6KpiKObnNE8TzxPViJ7eezvfRr1= yjWt5YuJRomk26LOLZyL1XhLlqmq3GNRXPhKpqniimO7jieI75lR0S1T4S7TbieOtVFPP2vs3Bp= tej65naXcu03q8W/VamumniKppnjnh2jcmHpdzRcPVcG3pVF2jUIxq503w8WqomnrcT4aP2o476= eztfl9I1q7O+NfvRbrm1TqF2ma+rPViZqniOfT2T/Mg66cw7xqEaNo+uWNufFrHz7dUWabmTcru= RfvTcppnrUTTVFMR8rsjie6OUu4Gk7ewtduXtOx9WvYOrxh49V+qqKOrxc5mqKZjn9mOznv+xR0= gdy1W5pOheJafO3MTUJycW1k3ci7cuxXXN2mKuLXVqiKYp56sTxPbHa/I3zh42n7sz8PDsVY9i1= XEUW6u+mOrE8T9YPxAAAAAAAIiapiKYmap7ojzg7P0Z7Xubq3RZwqomMO1/hcqvjuoif2ftqns/= p8zaaxat2LVFq1RTRbopimimmOIpiO6Ih1Dom2rG19sW7d+iIz8ri7lT54njso/3Y/pmXcmQAAA= AAAAAAAAAAAAAAAAAAAAAJEq5nsBhM8zyizCAnHApwCBMAJMIyAYizCAgpwCJwoDFxX6urTxHfL= mmYiOZfLXM1VTIsOLhJhnwgrCYSYZzCcA42Vqjr1xHm86zD6LNHVo+ue2RJZ+bgAQAFSYRkTAMe= EZIIgvCA1CAaAAAAAAH06ZnZemahY1DBvTZybFcV264iJ4n7J7J+9z2Na1Wzb1C3azblNOpRxlx= xE+Fjnrdv3893pmPPL88B9mJqediadmafj5E28bNiiMi31Ynr9Weae3jmOJ57jN1PPzcHCwsrIm= 5j4VNVGPRMRHUiqeZjsjme30vjAfoX9b1a9Vp1VzNuVTptNNOHzEf4KInrRx6e30+iI7ohlk65q= 2RVqU3s2uqNTqivMjiIi7MVdaOeI7OJ9HH8z80B+zjbp3Bj4EYVnUq6bVNE26Jmimblumf82muY= 61Mds9kTD469W1KqcGrxuumrAo6mLVRxTVajrTV2THE99Uzz39r4gH6usbh1nVrMWc7M69qKuvN= FFui3FVX+lVFMR1qvrnmXDTrGpU6zb1inJ4zrc0zRd6lPZNMRTT2ccd0R5nwAP09H1/V9Js12MH= L6lmuetVauW6blHW7ut1a4mIn64jlx5WsanlWsi1k5ly9Tk36ci9NfE1V3KYmIq63fHEVT2cvgA= fuZO7dw5Niuxe1GaqLlubd3i1RE3aZiYnrzFPNc8T31czHmYYO6NfwsGjDxtRqptW4mLczbpqrt= R6KK5iaqP92YfjAPvv6zqd+5n3LuT1q9Q48amaKf8ACcVRVHm7O2Ins4dq0TOro0nEt0b6x8TGo= oiK7d7EqnJx/wDSptVRRVMR38cVU/ZHa6MA/Y1/XcjUNQ1auxVVbxNQy/GJtVUxM9k1dTme/mIq= nuSNya3FWDXTm9W5gUdTHri3RFVNPHV6s1cc1Rx2cVcxx2PyAH6up7h1jUrUWszLiu1Tcpu026b= VFFFFVPPE000xER+1PZHf5+XHn65q2dby7eVmVXKMzJjKv09WmIruxEx1uIjs757uIfnAP2sPde= 4cTDpxMfUq6bdFPUt1TbpquW6fRRXMdamPqiYfmxnZcadc0+Lv/drl2m9XRxHbXETETz391U9j5= wHd9v51y3o+Nas73xcKxRH+Es5OJVVex557fAzFFX2xxVT2+h1zdmpWtY3JnalYpuU2b92arcXP= 2urxERz9fEdr8sAAAAAAAel9A2051fXp1vMtz4np9UTb5jsuXu+I/wB3v+3h5/o+n5WrapjabhW= 5uZGRciiiIj0+efqjvmfREtr9paJjbd0HE0nEj5Fijiqvjia6v86qftlJH60RxACAAAAAAAAAAA= AAAAAAAAAAAAABLGFn0AITCgjCYRmkwKxOFnsQEFJgESYUBOEZJwCJwqVTERMyDhvzPHVj73C5J= 5meZ70mIkWGEpMMpiUFY8Jwz4SY8wFmjrV8z3Q+hLdPVpiPP52QyicLMAMRknAIAAnCgqIyOAa3= +TPfHqK5+db948me+PUVz8637zaAXKNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v= 3jyZ749RXPzrfvNoAyNX/ACZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8= 637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ= 749RXPzrfvHkz3x6iufnW/ebQBkav8Akz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8me+PUVz8637x= 5M98eorn51v3m0AZGr/kz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8AJnvj1Fc/Ot+8eTPfHqK5+db= 95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98= eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/wCTPfHqK5+db948m= e+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me9/UVz8637za= AMjyroT2Hl6FdydY1zGiznTzax7c1RVNFP8AnVdnZzPd9kT6XqpxHogQAAAAAAAAAAAAAAAAAAA= AAAAAAAEmFBEADIAGE4SYZAZYIzmEmBWKcMkBBU4AcN6fldWO5yV1cRy4e8GKTDLhBWKTHLNOAY= cSzs08zz6CI5nhzU08RxAJwKCMTheAGIpwDHhJZAMRZhAAAfoAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgpwJ7oEwAAAnDGYZgMEZTDC52QK4655= q+qGEwzlAYDKYSYBjMehGREczwC2qe3nj7HIccAInDIBiLwnAJwjIBicLwgIKkwCcHCgPuAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOAEwkwKS= CAgo4qp608s657OHHwJhJSWRwKx4RlwnAMeGVuniOfSRHayAOABBU4AABJhGQDEXhASUZJMAnBw= qA+0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAABJ445VjX2iYYTzyjJOBWPBwoDEmF4POBTCgCcIyAYi8IAnCgIKnACKAnCMkQQ4ZU0zVVEQ5= vB0ehRmAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAABMseFnvBGMwkwzSYDLBJhnMJwKxWIAE4FAQJAE4UBOEZJwCC8IBwigIkspgopmqrjzA5= LNPEcz3y5OfqAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAABJVJAAAAEwJMKAxmE4ZpwKwFmAEOABOOBTgEAASYUBiMkmARzW6eI+1x245q+qH= NAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAgnHCn3ggqcCgAAAgnCgMOEZpMCsRZhACYAEFSYABlbjmeQZ0xxCgAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJg4SVAQAXIA= GAATCJMMgMsOEZ8JMCsRZQDjlyUxxHEJRHnZAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACJMCgIHCCqAAAInCcdrIgFAFAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAO04ARBUDIAKR2qQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHHaAmAAUAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAmU5fkbu3Hpe19LjU9YvV2cTwlNublN= E19WZ7uYjt4YbZ3PoW5sa5f0LU7ObTa4i5FHMVUc88cxMRMd09/oa5dfp9WPZiblMVenPu/a5OW= q1vpe3roOu5+PGfb1DGt5VyKbWXR1uIiueyKo4q7vrbI7M1ivX9radrNePGPVmY9N2bcVdaKZnz= c+d6dVobumiKqu0vNptbb1EzTT3h+z5uSJ5dO6Yd31bI2Hm63Zooryommzi0V/szdqniOfTERzP= Hn4eDbL0bpw6QdMr3HibvvYWLeuTFqq/m3LNN3iZiZoot0zEUxMTHdH1PI9jarkeG5WD0j7J6ML= tOq9IGlYesXdXpqt6hm3671qLE2uPBc3LVUxVNVMzx1fv8z07B3Fp+kbJ0nVNzbg06nwuHZm7m1= XIotZFybcTNVHMRzFU8zEREdnmgHZB1XTekXY+pVZFOBuXAyJxsevJvRRXM9S1RHNVc9ndEPmp6= VejqqqKY3fpfMzx23Jj/kDuY+LK1fS8XSf5WydRxLWn+Di541Xdpi11Z7qutzxxPMPwNN6SNi6n= qFjTsDc+n5GXfri3atUVzM11T3RHYDtg8p6LN1alas7l1DeG/ND1jBwq7c0V4nERiUzVXExc4tU= ds/Jj/O7pdlsdKXR5evUWqN36V1q54jrXurH889kA7iJTVTXTFVMxVTMcxMd0qAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADy/w= CE5+7G5/F2v+bqXwR+7c3/AA3/ALrtvwnP3Y3P4u1/XLqXwRv2dzf8L/7r7Vr7sq+v+HxLv3jT9= Hie5P8AKHUv4u7/AG5be9EP7sdv/wADR/U1C3J/lFqX8Xd/ty296If3Zbf/AIGj+p6uNfYW/wB/= Dz8H+3ufv5dD+GBjX7/Rfi3bVM1UY+qWrl3jzUzbuUxP4qoj73Yvg46jg53RFotvEv267mLbqs3= 7dNUTVbriursqjzc9/wBku5bm0TT9x6Fl6LqtiL2Hl25ouU88THniYnzTE8TE+mHgWb8GOvxu7V= p28PB48zzRTew5muI9EzFcRP28R9kPzb9G7V8MCf8Awtxv9q2v7u68d6UMvJzNf2Fpl/TsnVMTH= 29p82sC1VVE5M1URNUR1YmeZ4insjn5L1ijoLyqejC9s6rc1mq7c1enUIyZxZ4iItdTqdXrffzz= 9z9je3Q1i7k0Lb1q1rN7Tta0TBs4lrOtW+YrptxHHNPWiY7YmYmKuznzivP9sY2NOi7xrp6KMza= VdvbGfNObeuZExXPUiPB/4SIjmYmZ9PyX42wdibY1b4PmvbozdPmvV8SMmbORF2uJp6lFM09kTx= Pb9T1HQeineGLa1bH1jpFzNWxtQ0vJwabN6m5VTRVdo6sXOJrmJ47X6u0+jK/oXRJquxatYt37m= fF+IyosTTFHhKYj9nrdvHHpEa769m5eR0NbD0i7l3KMK/qGb4Tmrsjq3KIp/m8JXx9rZTbnQ/sH= RM7C1LT9GqpzMOqm5avVZFyqrrR3VTHW45+516joP0/J6LsTZ+p6rNzKwsi7kY2fZs9WaJrntia= Jmeae7mOY7o7YfPszoh3hoGv6Zm3ekjPzMDCvUVThzF2mi5RT/mcTcmIjj6uAeadE2p6JpG0Okr= L3Fg1ahp/hseivFprmnw1U3LvVp5ieYjrcdvoj7nXN3VafnbOu52n9EWZodiuKLlrVqb+RctUUz= VEd9VPVmKu7v75h7hoHQZbxNu7o0XUtc8Yt65ctXbdyzj9SrHrt1VVUzxNU9btqj0d0+l+Fe6BN= 23dH/kW50l5NemRTFEYlVi5NrqxMTEdXwnHETEcfYD0noAy8jN6H9u5GVdqu3IxqrfWq7+rRcqo= pj7qaYj7ne3XOjPbde0Nkadty5l05dWFTXTN6mjqRX1q6qu7meP2uHYwAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAeX/Cc/djc/= i7X9cupfBH/AGdzf8L/AO67b8Jz92Nz+Ltf1y6l8Ef9nc3/AA3/ALr7Vr7sq+v+HxL33lT9Hie5= P8otS/i7v9uW3vRD+7Hb/wDA0f1NQtyf5Q6l/F3f7ctvOiGf/DHb38DR/U9XGvsLf7+Hn4P9vc/= fy7NnV1W8DIuUTxVTaqmJ9ExDVLYm6OnPe3js7d12rIjCqoi914x7fV6/W6v7VMc/sy2r1P8AxZ= lf6mv+zLX34Fn/AJW7P9Zi/wBV5+bfo4fNsTpR37t3pKs7Q6RqvC05N2ixVNy3RFdmqv8AYrpqo= jiqiZmOe/7uJeoba1nduT0raxpeoZej16FZornFtWL9qrJpmJp469EVdaI7Z74jzPFfhN128zp1= 0jGwZivJoxsWzXFM9sXJvVzEfbxVT/PD7sXUcnSOnLpL1PDq6uTi6TmXbVXHPFcRb4nj6pBsVnb= k2/p+TVjZ+u6Xi3qe+3ey6KKo+2Jnl1rpG3RmfE69n7G1nQr+ZayLdFV29mWvA0xPPMTVNUUxPo= jl4r0KdFW3977JzN0biy9QyM25lXojwd+Kf2YieapmJmapmZnnn0OmaHER8H/c9Md0a3iR/wCmo= Hs/TdvzXdv9F+3snA17Dxdx5FePVmU4tdq51qarNc11Ux2xNE1xHFUdnd2vS9qbq0jM2liajka7= p1ybWJYqzbvjNHFquumP25ieKZmrmO3jta9dN+29Lt9C+yN1027n8qXMPAwaq+vPV8F4tXXx1e7= nmO93bL2z0d7G6FcnM1TEzq8PW8bCqy7Nq/M3L92ni5RTRM9lPbNUz9UT9gPXMfde2Mm/RYxtxa= Reu1zxTRRmW6qqp9ERE9rzLpX3duLSOmnZ+habqdzH03Pmz4zYiimYuda9NM8zMcx2dnZLwLeU7= Mu7fjJ27s3cek3+vTVby8nIm5Zqp9Hd5+Y4mJ9DvWtZuVqO/uh/Nzb1V/Iu4GFNy5VPNVc+GmOZ= nzzPpBtTAQAAAAAAAD8PfG4MbbW28rVL/wAqqinq2aP9O5P7Mf8AOfqiXgHlU33zP/xqI+rxWz7= gNmxrJ5VN9+u49ks+4eVTffruPZLPuLgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruP= ZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2S= z7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79= dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/Xc= eyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVT= ffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU33= 67j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWT= yqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8q= m+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZs= ayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPu= HlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hg= bNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7J= Z9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWf= cMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffru= PZLPuHlU3367j2Sz7hgbNgIAAAAPL/hOfuxufxdr+uXSfgp52FiVbioyszHsVXZxvBxduxTNXHh= eeOe/vh7zq+mafq2L4pqeFj5mP1oqm3eoiqnmO6eJfkVbE2ZMdu19In/AISj9Hvt6ymnTTYmO85= y+dd0lVWpi9E9vhrruLok31d1LNzsTSrWXYu37lymbWVb5mmapmOyZh6F0e9It3auiYW3t57c1T= R7WHbps282rHrm3VEeers7Pu5ek2NlbYxuZw9IsYcz3zi1VWZ/nomJc8bdtW4mnG1LU7duqOKrd= zInIoqj0cXet2fZw6XuIc+iKLsZiP0Ys6CbNc125xMvtsZeJrGj13tOy7GTZv2qot3bdcVUzzHH= fDWvTPg/9JGmzd/k3dmmYXhJia/F8zIt9bjnjnq0RzxzP873jE2dj6ZkXM3Rb9Om5NUzM02LfVs= Xezs8Ja56sz/81PVn63Z8abk2om7TTTc4+VFM8xz9T51WM+z6VE1Y93h3RZ0E39A3RZ3LurWLWp= ZuPc8LZs2Yqqo8J5q6q6+2qY74jiO2Inme5+3onRdnWeljc259Uv4ORpGtY17H8Woqr8L1bnU5i= r5MRHZTPdPnetJMcstNVq9nZ+1bmda2X0y6BjaZc5uV2bupRbrniJ7Jpp60TPHZzHHPofN0PbM1= Pe/Q9uLR9Ov41i7d1excpu5E1RRPUo5qj5MTPPyo8z2SvoG6Na7lVyrRsiaqp5n/AL7e7/xO97b= 0DSNt6Ta0nRMG1hYdrnq26OZ5nzzMz2zP1zMyK6HvXozydzdD2jbNuZ9jH1DS7ONNF6Imq1VdtW= ptzE9kT1Ziqrt457ux1ux0R7y1Xo+z9r7t3VjZUW6sevSK7XWuU4824rpmmrmmmZiYqpjvmY4+r= t7rujU83P3nZ0rCuX7GNptrwmfNNVdEVTdpmLcxNMTz1erNXFUxEzMejs65rd/eutZ1i9GHrODH= gZt0049FVvwXhOrz1p5+XVT16O2eI5t3PNPLtRYmr5eeq/jtDquq9EfTBqm3adu5+9tIyNLt00U= U49ddziIo46kcxa57OI879+50Sa/Xruws/wAf0zwe3MbHs5Udevm5Nu5NUzR8ntjifPw7Bcyt5Y= OhYFjBwL1zxm1NNyK4u1XLHWimmOZqmaoqpmvv7qot1TERzD6NG1HdOu61gWNS0vK0/CouU5VdU= W6rfbFuKvBVVTPyoiq5THPEczbq7OJ7HJnGcrzo7YeiUqlKuLsAAAAJVPCuidM27I25tmbGLd6u= o5vNux1Z4qt0/wCdX90dkfXMegHlXTduyNwbknT8S51sDT5mimY7q7ndVV/RxH2c+d5+faKACgA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADdABkAAAA= DgAODgAOCIiO4AAAAAfLXp2Bczac65hY9WVTTFNN6bUTXERPPEVd/D6erT6FBMJ1Y9BFMQoKAAA= AATPAOLMyLGLi3cnIuU27Vqia66qp7KaYjmZaqdIG5L26dzZGp1zVFjnqY1uf8AMtx3R9s98/XL= 0/4Qe6/A41G18K5/hL0RczJj/No76aPv75+qI9LxBYABQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABugAyAAAAAAAAAAAAAAAAAAAAAADG5+yANXe= mD94+sf62n+xS6mCgAoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAA//9k=3D" width=3D"793" height=3D"1121" alt=3D"" style=3D"marg= in-left:-1pt; position:absolute" /><img src=3D"data:image/jpeg;base64,= /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAAbAE0DA= SIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAABwUGCAkKAgT/xAApEAABBAMAAQQCAgIDAAAA= AAAFAwQGBwECCAkREhMUABUKFiEiGCUy/8QAFwEAAwEAAAAAAAAAAAAAAAAAAAECA//EACkRAQA= CAAYBAwMFAQAAAAAAAAECEQASITFBUQNxkfATImEygaHB8dH/2gAMAwEAAhEDEQA/ALAbx6gFUH= Cruua3rKsFMMDvK/BjZu2mcwdmDZDW+LBBRGGRYS3M6bOyDrRuPBR8MxTTQatUEUk9Go5nvujzW= 3N/m+6DizK0o6FqbmeLnGqRiK1tedm26ftJ0HdJ4cMNZg3jZduPhxR033S3cDFMvXg7ffZF4gi4= TUQ1DjUFHp95X/HtX1jtGj+vMdg+QCyRAYpjTcPIbgrE/dUprRB6grn4FnkcMMk5QE13122/asE= NE9d9lM6ZcD3yLdzI0R2hNAl83CT7Urt/ZDeV8go8yOCkS5trYN0fXsL2s8JJW8FS+6+iVIF5XN= 443LyCQNp+mOeGmjF21EKI75QhG5S1Va1V6/c29TGEPGOaaqynLmVVZ0n5DeivTHcTv/oqsb6R5= H7biswo6/zAR/JqzMArSmcgqO9I6I2/7l9WUpWKtt1ioVPbRcvGSCSRhmh7190fj11yoSWJnpro= e4bApHmWTvI8ypSLBZX0HfVjy+ekINWmZQyfFYrBQQNjJWDmY2KcCMFpAuLw/Yj4+Eci3pV3osW= HN1mF5GZrA7Y8aNMXvGulpv1VN6i8idFo863tPapzVUrLE5OeZx2YQmOqpxeHpS6OrRAhJ3hMoN= E5HkHUc0YPfsPY5ndB78/T6q4QO8jXAnQBpKuMd1OJVcHPFklXbIKIs0zJaNhVYyylxUkKbIimt= iRArWwwuCjT9ym5PBZfs5EJqrNXSP4EIxnu/cLlWyzLw+51V+k/SieWm0lBlWaVWINFrrduv8Xg= ftJJ1jV1HVv1jM7KK3NyzOZElFJjJGidg1PbVEE3koViI0xY0FdziRMlYo8K/RWXfJP2bwWFLhz= Lhtuye/Lp4Zl0nI5b0Xjk+sOi67qGaBq2dW9Zln37c8hDRWBwJogs9xkPH1pgJfTGSKjGrs45HN= XrVsGjzfcyTX0bKoZ3APKsIiPEfgmeePSS5Jp9w972bcZUnz2SeiSk4rlmYsJhVyNlyEKIcO14p= XounKlhk+SOG9m6T82a2RGLrOHCLNKQEAhXKzqy+v8AmbsOrqIlqnW4qt57yjL+icaAa4K27X1Q= DKoJVgpZSOiJuEyfdyAFycQmDKMCxYWXL6CcPXbdZv8AhljnC6qN5RDkD8/7d4bCB5IRuhtY5mm= q4sdSzfbCGPuO44dSy/W4XqSOdh8fxmfK17c9h1i9sWBz2jHO0n/q7SdyOJuZiabG63cOXIo8qT= aKtSDWEGB0ty2WH7OstyXOLWuKVTKa11T1hsYKIp6t07h6S6LuGxZ3pU9BVw51eKBnBFgOkCL+U= y6TpCyboJH2jlsjoOYOHzt1jZRk2dxFuvPcPOXJ9wcqZ6Fqo4968aTzmioPHdI5Nv0TYcBqGVR4= hUhu3x12JZZy6PxCFi/t2XGSVgJEhI6JtI4D2cInd8M2xUBs4PXAHsnjW3Fa70U7RgNGlucZbes= hMwqoLJtujGIRq7o2cT8SQFbxM0fzFhRuItXxRFscWIk09ESe7RYU/piZxXcdO6y+9b/5gfH4zy= RjdXGX25nVMtCK8Mni67MeOM9GWI3gkxvSuevYx2vR1Rrx9XohjBGVzUzdlHxOULKIjLWVgM2O4= cS2tNMprOnZVog2zqIbuSLN07+i7R10HeLWVGpMn0u1eSo/IwY6wK9fRz9wfJyBJk2PVXHXbvIp= wYdPlWrIhugi+2bNlE2m7lRd5hHDh04VVoL6GmthjrX6E6Cv2CVXTF59F8AN/HFzHxTVNsxa47C= swkdlw6SnbqmOYcq5YgK6r9qL1RZHjCnwiophdu9eNyWGg97dz4co+tE490FFnK/2nEbNUkBXc+= u2cOFxFKxwestrnbGNs6qqN9t9c5xjOdc49cev4yo+SKB+mWxVbb12aGnBi4wgebxxrRjNYqppl= Rpdxd8YfLn8j7Cddx9D8v29KRnOz6hO4b8kfLPUcc0dfs6pt6HdDT4jGy01TWV2bLRQ5ursHkGc= 4SHJs1vcV1wOwuu31HVX51OrYRChQK+vHVP7qm2g9m3Y2/ypOIJKams7OqOmjWTN9Cb5uTiTQtr= jV2okRw4bMsLb6Jb7I667Zx8d28w0aZ7f7IMEoP8AYIleqehCRBxiSy9D7D19bcudOl/hbn0kEs= quFVFPjRSTS093tT000xrrgZxSFMYAJ3AweR2dEAm+m+mREbuO2gw3Gu+ce/2MR81QbJ529c+uy= aeu2fXP+fxhW2h13t3eKp3jVNNN6e3Zv+e8XG+VDyg2VLJXAL769GQytlqaIPpVyF4+4zLh01Oa= 2a7HOBjG8egzwPfA9vvFxzp6lHGDVPVBsu9dNhqi7h0R11hBzj5KeufJO9sWn1Kh5OKB4dCmE7N= CrXjsvPAiiT2ewyuhDFiPFi5KvkqtI5yFxo6UZoIMmmrt2q8SwjjXeAZfmelz5B0XOxUiaKvVdl= nhMtN58RIO1tv/AEq5ePJQs4XU29Meu6qm22fT/Ofwl0/AYzRBY6cqJEvBS0kCpRw29ESmU7KkA= yRoVI27RXD0y7T02ZyAAENMXSOiTxgUFMXzNwg5bpqajEUUFNn5898GSK5pBKXb1pxtxg82F3r0= B4843AZZG6E4fizS/GDyRQzepB7/AAamMIDNxjF9MCmG6LMkOBDZ3tKaq3YSDdkUTsOs7FD6CsJ= Rvd85enP3ks7b8kGLCqePUFyzPUYtHBUmMwuxGBR63PjnskGR5XUGLeakUipQQkRWPOWaOmj79K= LKOGOrhyho2VhXMaSrifN4k0mYkxJW8Fj5CLRBMtNJu6wAjxWay6xiQphtvI/fo1fTmeTGUOdd9= t91S8iJudt85X9NV2rawiNMF8yKqdJJADuXgF/+3jE6nQx/h5GTjORgXGrlCSYV1UFnB7Mk1zrt= j2uW+mdsba+7XM5IXeUvv56YX0vHd5I2c1rx/wAMSGsLvK7PHu2RUjlJ8PRGeHcif7fC6wikxHT= AGIkYnSSwwgfOLR8WDKDpJHV2RtmzDyQquLSetUCrNg9wogi4OffK71p5AJHKqKWqrlR8xRhD+Y= v4/ZwaSn2EqQHHY6CRj0aiTBnITEvlaz6SsyDYIEDviqQQaeON0FEwy+uY6WHG2VsRYDCbHISqY= xWNkHhIMGNTeZuG7R883Wyo4331P6OHe6WrhdFlh6s51GtllGo/Vq23yllCqisIZSZ97J6sYk4a= bJiVQBJ4NlEqW1IB1iA0v9B60fmnjJ0igYDhzLLK7ZTdgZECy7HduRHM3KLyR00NNTDfHBczEs0= Hn5pg6T7ubp3x5x+qLAZ8gcm1mn0FGjhYUQhMLNBjaGI0WQYkYrJ13TMWSYlUGD2OSNQFsptq2E= SEGq8SbPt1WrfXr/Fu67nvbvPHWd12GHj8dkX/ACIARHZhGk3Wo3LIDUkNWar41drKrYXUySVwr= /v7c4109uMemfXFvacXZ3SNbjLaMTexB7A44kg9nLbGsA0gNNvhYwG+IDU3kmUwOVfCw4tq+0Zf= Ai8+g2WcpKuEtVfzZ5/FUraF1lyF0YLhAbIRiR6Ry/eIYJFiXzO8VjBm+FflLP36yfoiknp8aSm= iX+vu9nvzttkyR3ovDIRi5gpqr5r+sf/Z" width=3D"77" height=3D"27" alt=3D"" styl= e=3D"margin-left:441.05pt; position:absolute" /><svg font-fami= ly=3D"Times New Roman" font-size=3D"16" height=3D"41.33" version=3D"1.1" wi= dth=3D"209.31" xmlns=3D"http://www.w3.org/2000/svg" style=3D"width:209.31px= ; height:41.33px; font-family:'Times New Roman'; font-size:16px" xmlns:xlin= k=3D"http://www.w3.org/1999/xlink"><defs /><g><g><path d=3D"M0,0 L209,0 L20= 9,0 L209,41 L209,41 L0,41 Z" fill=3D"#7c7c7c" fill-rule=3D"evenodd" /></g><= /g></svg><a href=3D"http://www.anatomiadigita= l.org/" style=3D"text-decoration:none">www.anatomiadigital.org</a>ISSN: 2697-<span= class=3D"awspan" style=3D"font-weight:bold; letter-spacing:-0.2pt; color:#= ffffff">3391Vol. = 8 No. <spa= n class=3D"awspan" style=3D"color:#ffffff">2.1, pp. 19 = =E2=80=93 33,</span= > </s= pan>abril - mayo 2025 Revista en ciencias m=C3=A9dicas, salud p=C3=BAblica Art=C3=AD= culo de revisi=C3=B3n bibliogr=C3=A1fica.<spa= n class=3D"awspan" style=3D"letter-spacing:-0.2pt">2024[citadoel22demarzode2025].Disponibleen: <a href=3D"https://repositorio.unican.es/xmlui/ha= ndle/10902/32729" style=3D"text-decoration:none"></a><a href=3D"https://repositorio.unican.es/xmlui/handle/10902/32729" style= =3D"text-decoration:none">https://repositorio.unican.es/xmlui/handle= /10902/32729</a>12.Ins= tituto = Mexicano del Seguro<= /span> Social. Diagn=C3=B3stico y= Tratamiento de la Hipoacus= ia Sensorineural S=C3=BAbita Idi= op=C3=A1tica </s= pan>[Internet]. 2010 [= citado <s= pan class=3D"awspan">el 22 de marzode2025].Disponibleen: <a href=3D"https://www.imss.gob.mx= /sites/all/statics/guiasclinicas/416GRR.pdf" style=3D"text-decoration:none"= ></a><a href=3D"https://www.imss.gob.mx/sites/all/st= atics/guiasclinicas/416GRR.pdf" style=3D"text-decoration:none">http= s://www.imss.gob.mx/sites/all/statics/guiasclinicas/416GRR.pdf</a></= p>13.Jim=C3=A9nez-Vargas<s= pan class=3D"awspan" style=3D"letter-spacing:5.2pt"> NA, </= span>Trujillo-Bracamontes MR,= Rodr=C3=ADguez-Mauricio AF, Franco-Cendejas</sp= an> R, Mart=C3=ADnez-Wbaldo M</spa= n> del C, Jim=C3=A9nez-Vargas</spa= n> NA, et al. Hipoacusia<sp= an class=3D"awspan" style=3D"letter-spacing:4.5pt"> en </sp= an>pacientes con y= sin COVID-19 antes<= span class=3D"awspan" style=3D"letter-spacing:4.5pt"> y </s= pan>despu=C3=A9s de la recuperaci=C3=B3n de los casos positivos. Revista ORL [Internet]. 2022 = [citado el22demarzodel2025];1= 3(1):9=E2=80=9318.Disponibleen: <a href=3D"https://scielo.isciii.es/scielo.php?sc= ript=3Dsci_abstract&pid=3DS2444-79862022000100002&lng=3Des&nrm= =3Diso&tlng=3Den" style=3D"text-decoration:none"></a><a href=3D"https://scielo.isciii.es/scielo.php?script=3Dsci_abstract&a= mp;pid=3DS2444-79862022000100002&lng=3Des&nrm=3Diso&tlng=3Den" = style=3D"text-decoration:none">https://scielo.isciii.es/scielo.php?s= cript=3Dsci_abstract&pid=3DS2444-</a> <a href=3D"https://scielo.i= sciii.es/scielo.php?script=3Dsci_abstract&pid=3DS2444-79862022000100002= &lng=3Des&nrm=3Diso&tlng=3Den" style=3D"text-decoration:none"><= /a><a href=3D"https://scielo.isciii.es/scielo.php?sc= ript=3Dsci_abstract&pid=3DS2444-79862022000100002&lng=3Des&nrm= =3Diso&tlng=3Den" style=3D"text-decoration:none">798620220001000= 02&lng=3Des&nrm=3Diso&tlng=3Den</a>14.Guam=C3=A1n Pulgar=C3=ADn</spa= n> ET. Comparaci=C3=B3n entre</sp= an> tratamiento convencional y</s= pan> el uso de la dexametasona = intratimp=C3=A1nica en= pacientes con hipoacusia= s=C3=BAbita [Tesis de pregrado,= <span= class=3D"awspan">Universidad Cat=C3=B3lica de = Cuenca, Cuenca, = Ecuador]; </s= pan>2022 [citado = el22demarzode</s= pan>2025].Disponible= en: <a= href=3D"https://dspace.ucacue.edu.ec/handle/ucacue/13118" style=3D"text-de= coration:none"></a><a href=3D"https://dspace.ucacue.= edu.ec/handle/ucacue/13118" style=3D"text-decoration:none">https://d= space.ucacue.edu.ec/handle/ucacue/13118</a><s= pan class=3D"awspan">15.Penn C, Mayilsamy</= span> K, Zhu XX, B= auer <s= pan class=3D"awspan">MA, Mohapatra SS,</spa= n> Frisina RD, et al. A = mouse model of</span= > repeated traumatic brain= injury-induced hearing impairment: Early <= /span>cochlear neurodegeneration</= span> in the absence<= span class=3D"awspan" style=3D"letter-spacing:-0.15pt"> of hair cell loss. Hearing Research [Internet].</span= > 2023 [cited 2025 March </spa= n>22]; 436:108832. Availablefrom:<a href=3D"https://www.sciencedirect.com/science/article/pii/= S0378595523001442" style=3D"text-decoration:none">https://www.scienc= edirect.com/science/article/pii/S0378595523001442</a>16.Clifford RE,<span= class=3D"awspan" style=3D"letter-spacing:3.65pt"> Ryan </= span>AF, on behalf= <span= class=3D"awspan">of VA Million<sp= an class=3D"awspan" style=3D"letter-spacing:3.65pt"> Veteran Program. The Interrelatio= nship = of Tinnitus and</s= pan> Hearing Loss Secondary</sp= an> to Age, Noise Exposure,</= span> and Traumatic Brain</span= > Injury. Ear and Hearing= [Internet]. 2022<spa= n class=3D"awspan" style=3D"letter-spacing:-0.45pt"> [cited 2025 March 22]; 43(4): = 1114=E2=80=931124. Available<s= pan class=3D"awspan" style=3D"letter-spacing:20pt"> from: <a href=3D"https://journals.lww.com/10.1097/AUD.0000000= 000001222" style=3D"text-decoration:none"></a><a hre= f=3D"https://journals.lww.com/10.1097/AUD.0000000000001222" style=3D"text-d= ecoration:none">https://journals.lww.com/10.1097/AUD.000000000000122= 2</a>17.Kumar<s= pan class=3D"awspan" style=3D"letter-spacing:0.85pt"> S, <= /span>Dutta A, Mar= lapudi </span= >SK. Temporal Bone= <span= class=3D"awspan">Fractures after Trauma:= <span= class=3D"awspan">A Prospective Analysis = of <sp= an class=3D"awspan">Presentation, Management, and </sp= an>Outcomes. Indian journal<= span class=3D"awspan" style=3D"letter-spacing:0.7pt"> of </= span>otolaryngology and head </spa= n>and neck surgery:<= /span> official publication of the= Association of Otolaryngol= ogists = of India [Internet].= 2024 [cited 2025 <s= pan class=3D"awspan" style=3D"letter-spacing:-0.1pt">March22];76(3):2367=E2=80=932372.Availablefrom: = <a href=3D"https://pubmed.ncbi.nlm.nih.gov/38883469/" style=3D"text-= decoration:none"></a><a href=3D"https://pubmed.ncbi.= nlm.nih.gov/38883469/" style=3D"text-decoration:none">https://pubmed= .ncbi.nlm.nih.gov/38883469/</a>Esta revista est=C3=A1 protegida bajo una<span= class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spacing= :-0.2pt"> licencia Creative = Commons</= span> en la <sp= an class=3D"awspan" style=3D"font-size:8pt; font-style:italic">4.0<s= pan class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spac= ing:2pt"> International. Copia de la licencia: <a hr= ef=3D"http://creativecommons.org/licenses/by-nc-sa/4.0/" style=3D"text-deco= ration:none"></a><a href=3D"= http://creativecommons.org/licenses/by-nc-sa/4.0/" style=3D"text-decoration= :none">http://creativecommons.org/lice= nses/by-nc-sa/4.0/</a>D i</span= > a g </s= pan>n =C3=B3 <spa= n class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#fff= fff">s t<span= class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-spac= ing:0.4pt; color:#ffffff"> i c <s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#f= fffff">o M</sp= an> =C3=A9 d i c o<s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#f= fffff">P =C3=A1</span= > g i </s= pan>n a = 31 | 33<img src=3D"data:image/jpeg;base64,/= 9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEP= ERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4= eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCARhAxkDAS= IAAhEBAxEB/8QAHAABAQACAwEBAAAAAAAAAAAAAAECCAMGBwQF/8QAWBABAAEDAwAECAsDBgsGA= wkAAAECAwQFBhEHEiExExQXQVFVlNIIFiJUVmFxgZKT0TI3dBWRobGysyM1NkJSc3WChMHTGCQn= M6LDJWJyJkNFRmOjwuHw/8QAGwEBAQEBAQEBAQAAAAAAAAAAAAECAwQFBgf/xAA1EQEAAQMCBQM= BBgUEAwAAAAAAAQIDEQRSBRMUMZESIUFxMzVRYYHwFSJCodEGIzKxNMHh/9oADAMBAAIRAxEAPw= DpoD+lPxQANEosoAAECSqSLKAKgAkkJPeE94pIACT3Is9yAABAkqkiysBAIkosoKkrHckrHcqAC= CSEiwACglXmVKvMCEhIIAKAJJAAQsJKLKKSACD9HDteCt8z+1V2y+XCtde51qo+TT/W/RYmWK5+= BjPeyYz3sswANKAAJKpIAAADIAKgAqsZCQPgAlCEqnsYkiNQkosoKMZ7e1ap8zGGKpy1TAksuWN= TDeQFpjsIgmQWYRqUhJ7wnvAAASUVBRJUnu5QYVT5mE9yzPM8pPc5z7ukIkwqpgliLKfZ2osLTT= 1qo9Dk+5KY6sfWy5daacQ5VVe76AHocAAaJRZQAAIElUkhZQBUB9uBpebm4OdnY9masbAt03Mi5= PZFMVVRTTH2zM931T6Hb+jros17fGi3tV0vO02xZs5E4805FdcVTVFNNUzHVpmOPlR/S897VWrN= M1VziOzrbs13JxTDoU96PY5+DxvD1tof5t3/AKZ/2eN3+ttD/Nu/9N5f4tpN7t0N/a8cOXreV8H= /AHxZpmbWTo2R6KaMiuJn8VEQ6JuzZe59rXONc0jIxrfPEXojr2pnzcV08xz9XPLva12nvTiiuJ= lzr0123GaqXX57kWe5HrcAAIElUkVYAESUWU5gWElY7klY7lQAQSQkWAAUEq8ypV5gQkJBABQBJ= IACFhJRZRSRaYmqqKYjmZ7kfZgWv/vao+qlJnDMziH02aIt24pjzd7MHNyGM97JjPeLAA0oAAkq= kgAAAMgAqACqxkJA+BJWUSSElJhkiNMZRlLCe/hJnCwkx28oyYzDm3EiSqSKR3s0pjiFVBOFFGE= wMp704BAQCUVEX4GFc89jKZ4hxpVKwhCjnhtAEBaKeZ59COWmOIappzOSZSUZVMeJdXPD6QHVxA= BolFlAAAgSVSSFlHPp2HlajqGPgYVmq/k5FyLdq3T31VTPEQ4GxXwZ9gzh4kby1SzHh8imY0+ir= votz2Tc+qau6Pq+15Nfq6dLamue/wAO+msTfuRTD6N57OxdlfB71LTbc03MqvwNzLvRH/mXJuUc= 9v8Aox3R/wD3L7fgm/u6zv8Aa1z+6tP3/hDTHkk1iP8AVf3tL8D4Jv7us7/a1z+6tPy1Vyq5oaq= qu81f+n26aIo1VNMfg9T1vVcDRdMvanqeTTjYlmIm5dqiZinmYiO765h1WOljo9nj/wC02L+Cv3= XF0/8A7pNc/wBXb/vaGnTpwzhlGstzVVMxiWdbra7FcU0w3m0Ddm29fqmjR9bwc2umOardq9E1x= Hpmnv4+5+nnYuNnYl3GzLFvIx7tM03LdymKqao9ExPe0MxMnIw8q3lYl65Yv2qoqt3LdXVqpmO6= Yluf0S7hvbo6P9L1fJqpqyq7c28iYjjm5RVNMzx5ueOfvcuI8MnR4rpnMNaTWRqM01R7tcOnfYN= Gy9ft39Opq/kjP5qsRM8zarj9qiZ9HbEx9U/VMvN23PwktMtZ/RVnXqrcVXMK7ayLc+emetFM/w= DpqlqfpUzTqeLNNm1fmL1HFu9zNFfyo7KuO3ifPw/QcJ1VV/TZq7x7Pl66zFu9iO0vedP6O8Kvo= yo29XoVVWu5GlVanGp+Kz1aLvXiqjH8Jx2VdXsmOfNM+d0jb3Rxo2dtjb+rapum9p97XMivGxrN= OnzdiLkXJoiJqiuO/iPNHe9Kubc6b691U6/Tq2k0RExP8n05t6MTiKerx4P0T39/f2vl1HY3Shm= WtIteKbUsW9J1CvPxrdm7dinwlVybk0zz/m8zMREcdnnfJt6qujMc2Pec9/r7f9PbVYpn+ifb2d= H0Dojrz8/VsHLz9Qt3NPz6sTwuPp/hbVcRETFXWmunie3mae3jsfp6T0c7Z0zTd9YW48+u5l6NN= iLeXasVT4CiunrU3IoiviqaueJpnu6vf2ubeWsdJG0IzLm5Ns6Jm6fnZ3jkVXLNV6xavcRT8maa= 4mn7Kvr4878nae6N+7n3BuTU9I21pesRqduxTqWHctc2OKKerbmIqrie6mrzz5/q49M16u7RNfr= j0+3aY/JyxZomKfT7vjwejrQ6NO0S/rW6b2De1+5VTptu3gzcjq9aIoruT1o463NPZ5ut9U8fTp= 3RRh0xkU63uSvBu29bjR7UWcKbsXblUUzRVz1o4iet9z5r2+Nz7UvWdC1vbeiXcrSrs3cOnMx+v= XhTX8uIommrjiOYmO/js9Ecfi0dIm4PFqbV+nEya41mjWartyietXfpiOIniYjqdndERPomHoij= X1xmmr2+sf2/RxmrTU94di3H0V4Gn2cy5p25pz69O1CxhZ1m5gzamibtVMRMT1pir9qP1fqal0c= 0a/u/WsOa68K1pVy3i0fyZpEeBqiaIq5nm5z1uZ7eZqn6+50zL6SNcyKtXm5i6fH8rZtnMv8AFu= v5NdqYmmKfldkT1Y555+52La28d87o1DW7OnbY0fXIzr1Gbk4l6zM27VcUxRFVPNcT3RHfM/c5X= Leuop9VVXb5zHzhuivTVTiI7uldI21ruzt15GhXcujL8FTRXRepo6nWpqjmPk8zxP3y69Hc7V0s= Zu4s/eV+/ujTLGnal4K3TVYsxxTTTFPyZ/aq831v1dS6JN1afs+rdF+5p04NONTkzFN6qa+pVET= HZ1e/tjzvqWtTTRao51UZn+7x12Zqrq9Ee0OgAPY86SEuy9H+ydY3vn5OFo1eLTdx7UXa/D3Jpj= jnjs4iWLl2i1TNVc4iG6KKq5imnu60P2d6ba1HaWv3dF1WbE5NqimqqbNc1U8VRzHbMR6X4zVFd= NymKqZzEs1UzTOJEq8ypV5m0QkJBABQBJIACFhJRZRRnZom7ciiPv8AsfqUxFNMUx2RHY4cK14O= 11pj5VTnYqlyqnMgDLIxnvZMZ7xYAGlAAElUkAAABkAFQAVWMhJIfCSIqSsAIglUsOGVU9qcszL= pEIKkwipwcKSQSACZABUnvRZ70CA4AVEmGTGqeIQYVT2sPOySYYlqEARUAjtngwZZW457XIkRxH= Bzx3ukRhMkosoqPoAdXAAGiUWUAACBJV9eiaXm61q+LpWnWpu5WTci3bpj0z559ER2zM+aIZqqi= mJqntDURMziHcOhLYte9N00+M0VRpOFMXMuru6/+jbifTV/VE/U2+tWrdm1TatUxRboiKaaaY4i= mI7oh1/o72rh7P2xjaNh/Kmj5d+757tyf2qv+UeiIiHYrlNU0TFM8Tx2TL8NxHWzqr2fiOz9NpN= PFi3j5+XgXwot60xTRsvAuc1VdW9n1R5o76Lf/wDKf93637/wTv3dZ/8Ata5/dWnUel3oks6Lt/= Vt3X9w5efmeEi7cpuWaaYrqrriJ7Yns/adu+Cb+7rP/wBrXP7q09t+bP8ADoi1Off3+rzWuZ1ea= /wdl6f/AN0euf8A0W/72hpy3F6f/wB0muR/8lv+9oadPof6f+xq+rycV+0j6Daj4LMV+TOvr89X= +ULvU+zq0f8APlq/p+Hl6jm2sLAx7uTk3qurbtW6Zqqqn7Ibo9Fm3Lm1th6Zo1+KPGLVua780zz= HhKqpqq7fPxM8c/Ucfu08mKPnJwqieZNXw+bpr6kdFm4ev3eKTx9vMcf08NN9I/xrh/6+j+1Da3= 4Smq2sDoszMeqvi7nXbdi3T56vlRXP9FMtUtI/xrh/6+j+1DHA6ZjTVz++zXEpib9MN1OkvW8vb= exdT1vAptV5OLaiq3F2JmiZmqI7YiY9PpeCYPwhN228u3XmabpF/HiqPCUUW66Kpjz8VdaeJ+vi= XtHTt+6XX4//AEKf7dLTXlw4No7OotVTcpz7uuv1Fy1ciKJbx41ek732Xbu1Wqb+nariczRVxPE= VR2xPoqpn+aYeC9COl720ncm6tJ2xe0SL+Feox8urUKbkxV1a7kUzR1Psq7/qeudAGNkYnRHodv= JoqorqouXaaZ/0a7tdVM/fExP3ut9C1dFzpV6SKqOOPHqI++K70T/S8NqqbVF63T7xH+Xprp9dV= uqe/wD8eI9MFjX73SZnY+s04l/V7k2aaqcCmubdUzbp6sUxV288cfe7BonQPvjUcSnIvzpunTV3= Wsm9V1+PTMUU1RH8/L0fRNLx874UOu5d+iK5wMK3dtRPmrm3bpif5pqfJ8InpF3HtjXMLRNAyac= PrY0ZF69FumqqrmqqIpjrRMRHyZ83n/n+nTrtRXy9PYxE4h4p01qn1XbucZdSn4PG8PWuh/m3f+= mw6GdG3noe/twaNt6/ok5+Ha8Fk15nhJtVRFcfsdWOe/08PSfg37p17dOjatf13UK825YyKKLc1= UU09WJp54+TEPzeiT9/e/Ptq/vIcLur1E03bV6Yn0x+H5w60WLUTRXbzGXQt3bN3fvbpfztH1HK= 0W3q9vBoyLldqblNiaIiiIiOYmrn5Uebh7zuHbObqPRZc2pZvY9OZVp1vFi5XM+D61NNMTPMRzx= 2eh4T066/rG3OmnUM/RM65hZNWHZtTXRETM0zTTMx2x6Yj+Z7VurV9SxOhS5rePmXLeoxpVq9F+= IiauvNNMzV6O+ZcdVzposTGMe2Pq3Y9EVXInv8tcd49GGubW1nRtLz83Trt7V73gbFVmuuaaaut= TTzVzTHZzVHdy7THweN4T/+LaH+bd/6bote4t57x3BpVq5n5Oo6nZvx4hHVp5ormYnmOIjz0xPb= 2dj3HE2f0212KK8jf+HYuT30RHW6v1c+DfT1Wo1Onppiq5TE/P7w8di1ZuzMxRMw803J0Gb20fT= q8614hqdNuOa7eJdqm5EeeYiqmOfsjmfqfvfBE/ys1r+Bp/tw9v6PdO3XpmlXsXdusY2rZHhetZ= vWqJpmKOI+TV2R5+f53mvQvYtY3TnvqxZoii3TVc4pjujm7y8FXELmo0923cmJx8x9XqjS0WrtF= dPtl5v8Jj97Wd/D2P7EPNHpfwmP3s538PY/sQ80foeG/wDi2/o+Vq/tqvqJV5lSrzPc86EhIIAK= AJJAAQsJLmwrPhLvWq/Zp73DxM1RER2y/Ux7cWrUU+fzkzhmqcOSUWUc3IAAYz3smM94sADSgAC= SqSAAAAyACoAKrGSe4knuRWKopCQMap4VjPektQhMAy2ncvIiC8dqSpKiAAAIMZ7xZ70FiQAUcV= c81M654jhxyzKgDOCEk4UGssWVuOO1IjmeHJDVMM1SANJCTCLKA+gB1cQAaJRZQAAIGy/wbtgxo= +lRunVLURqGbb/7tTVzzasz5+PTV3/Zx6Za36bk04efYy6sazkxarivwN6Jmivjt4q4mJmPveqf= 9oHedNMU0adoNMRHZxj3ez/9x8rilrU36OXZj2nu92juWrVXruNit367iba25m61mz/gsW1NXHn= rq7qaY+uZ4j72ts9Pe+pqmYp0uI57I8WmeP8A1PwukDpQ3JvXTLOm6pRg2Ma1d8L1cW3XR16oiY= jrc1TzEcy6O8/D+D00UTOopiZddVxCqur/AGpxDv8Au3pc3ZubQcjRdSjA8VyOr1/B2Jpq7Koqj= iefTEPYPgm/u7z/APatz+6stYHfOjzpS1/ZGi3dK0rD02/Zu5FWRVVkW65q600008fJqiOOKY8z= tr+HxVp+Xp6Yj3y56XVYveu7Pw251XTsHVcC7gali2srFu8eEtXaYqpq4nmOY+2Idfjo62LHExt= TSPvxqXhX/aF3l6r0L8m7/wBRJ+ELvH1ZoX5N3/qPiUcJ11PtT7fq+lVr9NV3/wCmxmj7f0LR5q= nStIwcGqqOKqrFimiZj0TMQ+nU8/D0zAu5ufk2sbGs09a5cu1RFNMfa1e1Hp731lWposRpWFP+l= Yxpmr/11VR/Q6JubdW4ty3Yua5q+Vm9Xtporq4opn6qY4iP5nW3wLUXKs3Zx/dividqmP5Idn6c= N/fHbcNNOF16dJweaMaKo4m5M/tXJ+3iOI80fXMujaR/jXD/ANfR/ah889yUzNNUTTMxMTzEv01= rT02bXKo7PjV3ZuXPXU3t3TomHuPQMrRc+q5GLlURTcm1VxVxExPZPb6Hn2J0DbEsZNu7XGpZFN= E8zbuZPyavqniIn+lrHGu63651H2mv9Sdd1uY4nWNQ4/ia/wBXw7fBtTaiaaLuIn6vpVcQs1zmq= jLb/pF3pomw9uVVVXLEZFNnweFhUTHWrmI4piI81MdnM+aPuh5f8EnIu5Oqbqyci5VcvXfF67ld= U9tVUzdmZn75eBXbly7XNy7cruVz31VTzLlw87NwpqnDzMjH6/HW8Fdmjnju547/ADvRRwaKNPV= bir+ar5c6tfM3YrmPaPh7vqu7MXaPwmdTzNQueDwcqzaxr9fHMURVbtzFX3TTHP1TLvnST0caH0= kU4eqWtUnHyLdrqWsnH6t23ctzPMcxz2988TE+fztWtAxLu491abp2XmXfCZ+Vax6r9czXVT1qo= p57Z7eOe76nvWJ0A3sSmacTfWfj0z5reP1f6rjx6yxb0tVExc9NcR+Dvp7tV6mqPRmmZd66Jdg2= 9g6fm4lvU69Q8bu03Jqqs+D6vEcccczy6Z0Sfv6359tX95DuWz9DwujXbOdd1jct/Ntzcm9cycu= vq9WIp4iimJmfRPd2zMtUtzbiydR3dq2t6ffycOM7KuXaYouTTV1JqmaYnifRw4aPT16uq7Hqzm= O/6uuou02Io9u3w7d8Jqf/ABZzf4ez/Yh77oWPg726GcLTreX1LWbpdvHruW+KptVxTETHHpiqO= 76mnWVkZGVem9k37t+5PfXcrmqr+eXLhZ2dhRPieZkY/Pf4K7VTz/NL69/hdVyxboirFVLwWtbF= FyqqY9qntej7PwuiXpT21k6rrlrLx87w9vw04/gqbNXU6tMz8qrvmqI57OHq/SVtHWt114VzRt4= 5uhU2KaorpsRM03eeOJnq1U9scT6e/wA3n09zc7NzerOZmZGTNHPV8Lcmvjn0cy5cfV9Wx7cWrG= p5tq3T3U0ZFVMR90S5XuF3rlVNya/5o/JujW26ImmKfafzbj9Ge1tX2thZljV9z5OvV37kV27l+= Kom3ERxxHWqqdB6If39b8/+qv8AvYa8TruueudR9qr/AFcFnUdQsZFzIs5+VbvXf/MuUXqoqq+2= YnmWKODXMV+quM1R+DVXEKc04p7PQvhMfvazv4ex/Yh5o5MnJyMq9N7Kv3b92Y4mu5XNVU/fLjf= a0tmbFmm3M5w+deucy5NX4iVeZUq8z0OaEhIIAKAJJADK1RNy5FEechX0YFrmrwtUdkdz7Uopim= mKYjiIZMTOXGZzKSiyiIAAMZ72TGe8WABpQABJVJAAAAZABUASVVCQkVioiJCVSxWe1GZagFRFy= EKiqEgggvCSNZABMJPeiygAJVJKsKu2eUZJLm2nCKAgcLTHM/UBTHHayU4dGEAFhJRZQR9ADo5A= A0SiygAAQJKpJCygCoAEkJPeE94EiKAk9yLPcgAAQJPcqSKytV127lNy3XVRXTMTTVTPExMeeJf= b/LOr+tc72iv9XwwMzRTV3giqY7ObMzMvLmmcrKv3+r3eFuTVx/O+dZRYpiOyzMz3SVjuSVjuaZ= AEEkJFgkAUEq8ypV5gQkJBABQBJIR+hhWupb69UfKq/oh8uJa8Ld7f2Y7ZfpMzLFU/CgMsJKLKA= AAMZ72TGe8WABpQABJVJAAAAZABUEmFFViSSSCMap8ysZ70lYQBGl8yLPciILxKMlViMphEVAAJ= RU4RYE4UBjPYwZ1T5mPDMtQgJwirwxXkMCM6Y4hKI5llMLTBKcqxOWmMrKEgpKcKCOYc3imX82u= fhk8Uy/m9z8Ms9Ra3R5OTc2y4RzeKZXze5+E8Uyvm9z8J1FrdHlrk3NsuGUc84mV82ufhTxPK+b= XPwnUWt0eU5NzbLhHN4nlfNrn4TxPK+bXPwnUWt0eVizc2y4Ulz+J5Xza5+FJw8v5td/CRqLW6P= K8m5tlwDn8Ty/m1z8MniWX82u/hleotbo8pybm1wDn8Ty/m138MnieX83u/hlOotbo8kWbm2Xzz= 3jmnCy/m138MnieX82u/hleotbo8nJubZcI5vE8v5td/DJ4nl/Nrv4ZOotbo8nJubXBPcjnnDy/= m138MniWX82u/gk6i1ujycm5tlwDn8Syvm138EniWX82u/gk6i1ujyRZubXAkvo8Syvm138EpOF= l/Nrv4JOotbo8rybm1wwOfxLK+bXfwSeJZXza7+CTqLW6PKcm5tl88o+icLL+bXfwSeJZfza7+C= TqLW6PK8m5tfNKx3ObxLL+a3fwSsYWX82u/gleptbo8pybm1wD6PEsv5td/BKeJZfza7+GU6m1u= jycm5tl88jnnCzPm178EniWZ81vfglY1NrdHlZs3NsuAc/iWX82vfhk8Sy/m178Er1FndHlOTc2= y4EnzPo8Sy/m178Ek4OZ82vfgk6izujycm5tl8w+jxHM+bXvwSTg5nza9+CTqLW6PJybm2XzD6P= Ecz5re/BKeI5nzW9+CTqLO6PK8m5tl869szxEczL9vTNobq1PG8Z07buqZdjrTT4S1jV1U8x3xz= EP0sLo+3rFc117U1mOO7nDr/RidXYj+uPJybmP+Mvxce1Fq3FPn88uV2H4i70+iuseyV/ovxE3p= 9FtY9kr/AEY6uxvjy5ci7tl10di+Iu9PotrHslf6HxE3p9FtY9kr/ROrsb48nIu7ZdclHY52JvT= 6Lax7JX+ifETen0V1j2Sv9Dq7G+PJyLu2XXR2L4ib0+iuseyV/ofETen0V1j2Sv8AQ6uxvjyci5= tl11j53ZfiJvT6K6z7JX+jH4h71+ius+yV/odXY3x5WLFzbLrg7H8RN6/RXWfZK/0PiJvX6K6z7= JX+jXV2N8eV5FzbLrg7H8RN6/RXWfZK/wBD4ib1+ius+yV/onV2N8eTkXNsuuI7J8RN6/RXWfZK= /wBE+Ie9forrPslf6L1djfHk5FzbLrg7H8Q96/RXWfY6/wBD4h71+ius+x1/onV2N8eTkXNsuuJ= y7J8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHk5FzbLrg7H8Q96/RXWfY6/0PiHvX6K6z7HX+h1dj= fHlORc2y64Ox/EPev0V1n2Ov8AQ+Ie9forrPslf6L1djfHk5FzbLrQ7J8Q96/RXWfY6/0Sdh71+= ius+yV/onV2N8eWuRc2y61PenDsnxD3r9FdY9kr/Q+Ie9forrHslf6HV2N8eTkXNsutTHZ2I7N8= Qt6fRXWPZK/0Sdh71+iuseyV/odVY3x5Xk3Nsut98I7J8Q96/RXWfZK/0T4hb1+ius+yV/odVY3= x5OTc2y64yh2H4hb1+ius+yV/ofEPev0V1j2Sv9DqrG+PJybm2XXkl2P4ib0+iuseyV/oTsTen0= V1j2Sv9DqrG+PJybm2XWx2P4h70+ius+yV/ofEPekf/lbWPZK/0Oqs748rybm2XXB2L4ib0+i2s= eyV/ofETen0V1j2Sv8AROqs748rFq5tl1ye9JniHZJ2JvT6K6x7JX+jjq2PvLnj4r6v7JX+h1Vn= dHleTc2y66OwfEfeP0Y1f2Sv9D4j7x+jGr+yV/ox1FrdHleTc2y6+xdi+JG8foxq/slf6J8R94/= RjV/ZK/0Ootbo8nKubXXk4dh+JG8foxq/slf6M6NibzqjrRtbV5j+Er/Q6i1ujycq5tl1+I4jgl= 2P4ib0+i2seyV/ok7E3p9FtY9kr/RrqbO6PJyrm2XW+xOHZPiJvX6K6x7JX+h8RN6fRXWPZK/0X= qbO6PKcm5tl1yCYdj+Im9PorrHslf6HxE3p9FtY9kr/AEOps7o8nJubZdbHY6tib0+iuseyV/on= xF3p9FdY9kr/AEOps7o8pybm2X6PAD8C/WgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD79= v6Vla5rWLpOHTzfybkUUzPdTHnqn6ojmZ+x8D3n4P20/ENKr3Hm25jJzKerjxPfTa/wBL7ap/oi= PSg9G25pGJoeiYulYVHVs49EUx6ap89U/XM8z979EiOBAAAAAAAAAAAAAAAAAAAAAAAAAcVc8yz= rniOzvcYJwjIBiLwgJMCgIkxyvADHjhO9mkwDHhGRwDDgZcJPcDivVdSjmO/wAz4/O5r1XXrmfN= HZDjmBWExDGaWcwA4+IThyTDGY4US3RNdcUx53300xTEUxHEQ48S31aetMdsudFYpLLhBEJXhBM= JwjJOBUlOIZSgNRAGkAAAAAADl+1tbFx9Qp1PT68eLmVcw6rmHVH7VNy3MVzEfbRFcfbw7PG29O= qysKIxaJtaPdm1rU01TPhOra8NVM+jmabtv/dp88g8+OXctH0zS8/B03WrmNTRj4l3I/lK1RMxE= 00R4W3H1daJ8H/ux5zWNP0rS8bUNWoxaLuPlZdidNtXJnjwVVMXq/t4iaKJ+2QdNHoVe2NPs39Q= sXMejjVbtVGi1TVPyafBeGpmPTz17VH31eh1nc2HaxKMLDx8Oqi9i4VurOucT23bny+30cRVRT9= sA/Dct+xXZtWrlVdqqLtPWpii7TVMRzMcVRE80z2d08T53bNcr0jQ8qNCo23j5seL26qsu7cuRe= u1V24q69E01dWKYmeyOrPZHa59O0HTM7L2xau0UWreRpt7JyO2qJvVW670xE9WJntiimPkxzx3R= yDo47nuCjbuVoGVkY06RayseqjwP8m2sziqJniabk3aer3czE8xPZL9CbG36922tq29vYtFrJot= 0VZc3Lk3qLldqKutT8rqxETPdxPPH1oPPHLTYrnFqyYrtdSmuKJpm5TFfMxM9lPPMx2d/HDsmLG= naNtfT9Tu6NjapkZ927FVWVNfg7NNuYp6sRRVHyp55mZn0cQ4rmLh5e2NSzsbTYxrs6pYt2bfXm= ubdFVFyepEz2zHMR39vZCjrZ//ALveh5ek6VXpuqadXjaFZzcDDru8Yd3IuZFuu3x1uvXMTant5= iY5757H5moXNK0W7i6RG2cbUPCY1m5cyrly5F6/NyiKubU01RTTETV1Y7J/Z7fOg/A1XSbun6jn= 4dV6xXOFX1a6puRTNfbx8mmZ5n7I5fnO77ixMa/rO9712x1rmNMVWZrj5VEzfopn7+JmHz6jc0r= RqsTSPi1j5/hcazcuZNdy7F69NyiKubUxPFMRNXEfJnu7QdVosV141zIiq1FFuaYmJuUxVPPPdT= M8zHZ2zEdjG7buWa+pdt126+Inq1RxPExzH88TEu5a1p+nadc3Jes6faqjT9VsUWbV6KpiKObnN= E8TzxPViJ7eezvfRr1yjWt5YuJRomk26LOLZyL1XhLlqmq3GNRXPhKpqniimO7jieI75lR0S1T4= S7TbieOtVFPP2vs3Bptej65naXcu03q8W/VamumniKppnjnh2jcmHpdzRcPVcG3pVF2jUIxq503= w8WqomnrcT4aP2o476eztfl9I1q7O+NfvRbrm1TqF2ma+rPViZqniOfT2T/Mg66cw7xqEaNo+uW= NufFrHz7dUWabmTcruRfvTcppnrUTTVFMR8rsjie6OUu4Gk7ewtduXtOx9WvYOrxh49V+qqKOrx= c5mqKZjn9mOznv+xR0gdy1W5pOheJafO3MTUJycW1k3ci7cuxXXN2mKuLXVqiKYp56sTxPbHa/I= 3zh42n7sz8PDsVY9i1XEUW6u+mOrE8T9YPxAAAAAAAIiapiKYmap7ojzg7P0Z7Xubq3RZwqomMO= 1/hcqvjuoif2ftqns/p8zaaxat2LVFq1RTRbopimimmOIpiO6Ih1Dom2rG19sW7d+iIz8ri7lT5= 4njso/3Y/pmXcmQAAAAAAAAAAAAAAAAAAAAAAAAJEq5nsBhM8zyizCAnHApwCBMAJMIyAYizCAg= pwCJwoDFxX6urTxHfLmmYiOZfLXM1VTIsOLhJhnwgrCYSYZzCcA42Vqjr1xHm86zD6LNHVo+ue2= RJZ+bgAQAFSYRkTAMeEZIIgvCA1CAaAAAAAAH06ZnZemahY1DBvTZybFcV264iJ4n7J7J+9z2Na= 1Wzb1C3azblNOpRxlxxE+Fjnrdv3893pmPPL88B9mJqediadmafj5E28bNiiMi31Ynr9Weae3jm= OJ57jN1PPzcHCwsrIm5j4VNVGPRMRHUiqeZjsjme30vjAfoX9b1a9Vp1VzNuVTptNNOHzEf4KIn= rRx6e30+iI7ohlk65q2RVqU3s2uqNTqivMjiIi7MVdaOeI7OJ9HH8z80B+zjbp3Bj4EYVnUq6bV= NE26Jmimblumf82muY61Mds9kTD469W1KqcGrxuumrAo6mLVRxTVajrTV2THE99Uzz39r4gH6us= bh1nVrMWc7M69qKuvNFFui3FVX+lVFMR1qvrnmXDTrGpU6zb1inJ4zrc0zRd6lPZNMRTT2ccd0R= 5nwAP09H1/V9Js12MHL6lmuetVauW6blHW7ut1a4mIn64jlx5WsanlWsi1k5ly9Tk36ci9NfE1V= 3KYmIq63fHEVT2cvgAfuZO7dw5Niuxe1GaqLlubd3i1RE3aZiYnrzFPNc8T31czHmYYO6NfwsGj= DxtRqptW4mLczbpqrtR6KK5iaqP92YfjAPvv6zqd+5n3LuT1q9Q48amaKf8ACcVRVHm7O2Ins4d= q0TOro0nEt0b6x8TGooiK7d7EqnJx/wDSptVRRVMR38cVU/ZHa6MA/Y1/XcjUNQ1auxVVbxNQy/= GJtVUxM9k1dTme/mIqnuSNya3FWDXTm9W5gUdTHri3RFVNPHV6s1cc1Rx2cVcxx2PyAH6up7h1j= UrUWszLiu1Tcpu026bVFFFFVPPE000xER+1PZHf5+XHn65q2dby7eVmVXKMzJjKv09WmIruxEx1= uIjs757uIfnAP2sPde4cTDpxMfUq6bdFPUt1TbpquW6fRRXMdamPqiYfmxnZcadc0+Lv/drl2m9= XRxHbXETETz391U9j5wHd9v51y3o+Nas73xcKxRH+Es5OJVVex557fAzFFX2xxVT2+h1zdmpWtY= 3JnalYpuU2b92arcXP2urxERz9fEdr8sAAAAAAAel9A2051fXp1vMtz4np9UTb5jsuXu+I/wB3v= +3h5/o+n5WrapjabhW5uZGRciiiIj0+efqjvmfREtr9paJjbd0HE0nEj5Fijiqvjia6v86qftlJ= H60RxACAAAAAAAAAAAAAAAAAAAAAAAABLGFn0AITCgjCYRmkwKxOFnsQEFJgESYUBOEZJwCJwqV= TERMyDhvzPHVj73C5J5meZ70mIkWGEpMMpiUFY8Jwz4SY8wFmjrV8z3Q+hLdPVpiPP52QyicLMA= MRknAIAAnCgqIyOAa3+TPfHqK5+db948me+PUVz8637zaAXKNX/Jnvj1Fc/Ot+8eTPfHqK5+db9= 5tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/ACZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPf= HqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me= +PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav8Akz3x6iufnW/ePJnvj1Fc/Ot+82= gDI1f8me+PUVz8637x5M98eorn51v3m0AZGr/kz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8AJnvj1= Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfH= qK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGR= q/wCTPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+= db948me9/UVz8637zaAMjyroT2Hl6FdydY1zGiznTzax7c1RVNFP8AnVdnZzPd9kT6XqpxHogQA= AAAAAAAAAAAAAAAAAAAAAAAAAEmFBEADIAGE4SYZAZYIzmEmBWKcMkBBU4AcN6fldWO5yV1cRy4= e8GKTDLhBWKTHLNOAYcSzs08zz6CI5nhzU08RxAJwKCMTheAGIpwDHhJZAMRZhAAAfoAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgpwJ7oEwAAAnD= GYZgMEZTDC52QK4655q+qGEwzlAYDKYSYBjMehGREczwC2qe3nj7HIccAInDIBiLwnAJwjIBicL= wgIKkwCcHCgPuAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAOAEwkwKSCAgo4qp608s657OHHwJhJSWRwKx4RlwnAMeGVuniOfSRHayAOABBU4AAB= JhGQDEXhASUZJMAnBwqA+0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAABJ445VjX2iYYTzyjJOBWPBwoDEmF4POBTCgCcIyAYi8IAnCgIKnAC= KAnCMkQQ4ZU0zVVEQ5vB0ehRmAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAABMseFnvBGMwkwzSYDLBJhnMJwKxWIAE4FAQJAE4UBOEZJwCC8I= BwigIkspgopmqrjzA5LNPEcz3y5OfqAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJVJAAAAEwJMKAxmE4ZpwKwFmAEOABOOBTgEAASYUBiMk= mARzW6eI+1x245q+qHNAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAgnHCn3ggqcCgAAAgnCgMOEZpMCsRZhACYAEFSYABlbjmeQZ0xxCg= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAJg4SVAQAXIAGAATCJMMgMsOEZ8JMCsRZQDjlyUxxHEJRHnZAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACJMCgIHC= CqAAAInCcdrIgFAFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAO04ARBUDIAKR2qQAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHHaAmAA= UAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAmU5fkbu3Hpe1= 9LjU9YvV2cTwlNublNE19WZ7uYjt4YbZ3PoW5sa5f0LU7ObTa4i5FHMVUc88cxMRMd09/oa5dfp= 9WPZiblMVenPu/a5OWq1vpe3roOu5+PGfb1DGt5VyKbWXR1uIiueyKo4q7vrbI7M1ivX9radrNe= PGPVmY9N2bcVdaKZnzc+d6dVobumiKqu0vNptbb1EzTT3h+z5uSJ5dO6Yd31bI2Hm63Zooryomm= zi0V/szdqniOfTERzPHn4eDbL0bpw6QdMr3HibvvYWLeuTFqq/m3LNN3iZiZoot0zEUxMTHdH1P= I9jarkeG5WD0j7J6MLtOq9IGlYesXdXpqt6hm3671qLE2uPBc3LVUxVNVMzx1fv8z07B3Fp+kbJ= 0nVNzbg06nwuHZm7m1XIotZFybcTNVHMRzFU8zEREdnmgHZB1XTekXY+pVZFOBuXAyJxsevJvRR= XM9S1RHNVc9ndEPmp6VejqqqKY3fpfMzx23Jj/kDuY+LK1fS8XSf5WydRxLWn+Di541Xdpi11Z7= qutzxxPMPwNN6SNi6nqFjTsDc+n5GXfri3atUVzM11T3RHYDtg8p6LN1alas7l1DeG/ND1jBwq7= c0V4nERiUzVXExc4tUds/Jj/O7pdlsdKXR5evUWqN36V1q54jrXurH889kA7iJTVTXTFVMxVTMc= xMd0qAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAADy/wCE5+7G5/F2v+bqXwR+7c3/AA3/ALrtvwnP3Y3P4u1/XLqXwRv2dzf8L/7= r7Vr7sq+v+HxLv3jT9Hie5P8AKHUv4u7/AG5be9EP7sdv/wADR/U1C3J/lFqX8Xd/ty296If3Zb= f/AIGj+p6uNfYW/wB/Dz8H+3ufv5dD+GBjX7/Rfi3bVM1UY+qWrl3jzUzbuUxP4qoj73Yvg46jg= 53RFotvEv267mLbqs37dNUTVbriursqjzc9/wBku5bm0TT9x6Fl6LqtiL2Hl25ouU88THniYnzT= E8TE+mHgWb8GOvxu7Vp28PB48zzRTew5muI9EzFcRP28R9kPzb9G7V8MCf8Awtxv9q2v7u68d6U= MvJzNf2Fpl/TsnVMTH29p82sC1VVE5M1URNUR1YmeZ4insjn5L1ijoLyqejC9s6rc1mq7c1enUI= yZxZ4iItdTqdXrffzz9z9je3Q1i7k0Lb1q1rN7Tta0TBs4lrOtW+YrptxHHNPWiY7YmYmKuznzi= vP9sY2NOi7xrp6KMzaVdvbGfNObeuZExXPUiPB/4SIjmYmZ9PyX42wdibY1b4PmvbozdPmvV8SM= mbORF2uJp6lFM09kTxPb9T1HQeineGLa1bH1jpFzNWxtQ0vJwabN6m5VTRVdo6sXOJrmJ47X6u0= +jK/oXRJquxatYt37mfF+IyosTTFHhKYj9nrdvHHpEa769m5eR0NbD0i7l3KMK/qGb4Tmrsjq3K= Ip/m8JXx9rZTbnQ/sHRM7C1LT9GqpzMOqm5avVZFyqrrR3VTHW45+516joP0/J6LsTZ+p6rNzKw= si7kY2fZs9WaJrntiaJmeae7mOY7o7YfPszoh3hoGv6Zm3ekjPzMDCvUVThzF2mi5RT/mcTcmIj= j6uAeadE2p6JpG0OkrL3Fg1ahp/hseivFprmnw1U3LvVp5ieYjrcdvoj7nXN3VafnbOu52n9EWZ= odiuKLlrVqb+RctUUzVEd9VPVmKu7v75h7hoHQZbxNu7o0XUtc8Yt65ctXbdyzj9SrHrt1VVUzx= NU9btqj0d0+l+Fe6BN23dH/kW50l5NemRTFEYlVi5NrqxMTEdXwnHETEcfYD0noAy8jN6H9u5GV= dqu3IxqrfWq7+rRcqopj7qaYj7ne3XOjPbde0Nkadty5l05dWFTXTN6mjqRX1q6qu7meP2uHYwA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAeX/Cc/djc/i7X9cupfBH/AGdzf8L/AO67b8Jz92Nz+Ltf1y6l8Ef9nc3/AA3/ALr7Vr= 7sq+v+HxL33lT9Hie5P8otS/i7v9uW3vRD+7Hb/wDA0f1NQtyf5Q6l/F3f7ctvOiGf/DHb38DR/= U9XGvsLf7+Hn4P9vc/fy7NnV1W8DIuUTxVTaqmJ9ExDVLYm6OnPe3js7d12rIjCqoi914x7fV6/= W6v7VMc/sy2r1P8AxZlf6mv+zLX34Fn/AJW7P9Zi/wBV5+bfo4fNsTpR37t3pKs7Q6RqvC05N2i= xVNy3RFdmqv8AYrpqojiqiZmOe/7uJeoba1nduT0raxpeoZej16FZornFtWL9qrJpmJp469EVda= I7Z74jzPFfhN128zp10jGwZivJoxsWzXFM9sXJvVzEfbxVT/PD7sXUcnSOnLpL1PDq6uTi6TmXb= VXHPFcRb4nj6pBsVnbk2/p+TVjZ+u6Xi3qe+3ey6KKo+2Jnl1rpG3RmfE69n7G1nQr+ZayLdFV2= 9mWvA0xPPMTVNUUxPojl4r0KdFW3977JzN0biy9QyM25lXojwd+Kf2YieapmJmapmZnnn0OmaHE= R8H/c9Md0a3iR/wCmoHs/TdvzXdv9F+3snA17Dxdx5FePVmU4tdq51qarNc11Ux2xNE1xHFUdnd= 2vS9qbq0jM2liajka7p1ybWJYqzbvjNHFquumP25ieKZmrmO3jta9dN+29Lt9C+yN1027n8qXMP= Awaq+vPV8F4tXXx1e7nmO93bL2z0d7G6FcnM1TEzq8PW8bCqy7Nq/M3L92ni5RTRM9lPbNUz9UT= 9gPXMfde2Mm/RYxtxaReu1zxTRRmW6qqp9ERE9rzLpX3duLSOmnZ+habqdzH03Pmz4zYiimYuda= 9NM8zMcx2dnZLwLeU7Mu7fjJ27s3cek3+vTVby8nIm5Zqp9Hd5+Y4mJ9DvWtZuVqO/uh/Nzb1V/= Iu4GFNy5VPNVc+GmOZnzzPpBtTAQAAAAAAAD8PfG4MbbW28rVL/wAqqinq2aP9O5P7Mf8AOfqiX= gHlU33zP/xqI+rxWz7gNmxrJ5VN9+u49ks+4eVTffruPZLPuLgbNjWTyqb79dx7JZ9w8qm+/Xce= yWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTf= fruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU336= 7j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTy= qb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm= +/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsa= yeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuH= lU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgb= NjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ= 9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfc= MDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruP= ZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2S= z7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79= dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/Xc= eyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNgIAAAAPL/hOfuxufxdr+uXSfgp52FiVbioys= zHsVXZxvBxduxTNXHheeOe/vh7zq+mafq2L4pqeFj5mP1oqm3eoiqnmO6eJfkVbE2ZMdu19In/A= ISj9Hvt6ymnTTYmO85y+dd0lVWpi9E9vhrruLok31d1LNzsTSrWXYu37lymbWVb5mmapmOyZh6F= 0e9It3auiYW3t57c1TR7WHbps282rHrm3VEeers7Pu5ek2NlbYxuZw9IsYcz3zi1VWZ/nomJc8b= dtW4mnG1LU7duqOKrdzInIoqj0cXet2fZw6XuIc+iKLsZiP0Ys6CbNc125xMvtsZeJrGj13tOy7= GTZv2qot3bdcVUzzHHfDWvTPg/9JGmzd/k3dmmYXhJia/F8zIt9bjnjnq0RzxzP873jE2dj6ZkX= M3Rb9Om5NUzM02LfVsXezs8Ja56sz/81PVn63Z8abk2om7TTTc4+VFM8xz9T51WM+z6VE1Y93h3= RZ0E39A3RZ3LurWLWpZuPc8LZs2Yqqo8J5q6q6+2qY74jiO2Inme5+3onRdnWeljc259Uv4ORpG= tY17H8Woqr8L1bnU5ir5MRHZTPdPnetJMcstNVq9nZ+1bmda2X0y6BjaZc5uV2bupRbrniJ7Jpp= 60TPHZzHHPofN0PbM1Pe/Q9uLR9Ov41i7d1excpu5E1RRPUo5qj5MTPPyo8z2SvoG6Na7lVyrRs= iaqp5n/AL7e7/xO97b0DSNt6Ta0nRMG1hYdrnq26OZ5nzzMz2zP1zMyK6HvXozydzdD2jbNuZ9j= H1DS7ONNF6Imq1VdtWptzE9kT1Ziqrt457ux1ux0R7y1Xo+z9r7t3VjZUW6sevSK7XWuU4824rp= mmrmmmZiYqpjvmY4+rt7rujU83P3nZ0rCuX7GNptrwmfNNVdEVTdpmLcxNMTz1erNXFUxEzMejs= 65rd/eutZ1i9GHrODHgZt0049FVvwXhOrz1p5+XVT16O2eI5t3PNPLtRYmr5eeq/jtDquq9EfTB= qm3adu5+9tIyNLt00UU49ddziIo46kcxa57OI879+50Sa/Xruws/wAf0zwe3MbHs5Udevm5Nu5N= UzR8ntjifPw7Bcyt5YOhYFjBwL1zxm1NNyK4u1XLHWimmOZqmaoqpmvv7qot1TERzD6NG1HdOu6= 1gWNS0vK0/CouU5VdUW6rfbFuKvBVVTPyoiq5THPEczbq7OJ7HJnGcrzo7YeiUqlKuLsAAAAJVP= CuidM27I25tmbGLd6uo5vNux1Z4qt0/wCdX90dkfXMegHlXTduyNwbknT8S51sDT5mimY7q7ndV= V/RxH2c+d5+faKACgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAADdABkAAAADgAODgAOCIiO4AAAAAfLXp2Bczac65hY9WVTTFNN6bUTXERPPEVd/D6er= T6FBMJ1Y9BFMQoKAAAAATPAOLMyLGLi3cnIuU27Vqia66qp7KaYjmZaqdIG5L26dzZGp1zVFjnq= Y1uf8AMtx3R9s98/XL0/4Qe6/A41G18K5/hL0RczJj/No76aPv75+qI9LxBYABQAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABugAyAAAAAAAAAAAAA= AAAAAAAAADG5+yANXemD94+sf62n+xS6mCgAoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//9k=3D" width=3D"793" height=3D"1121" alt= =3D"" style=3D"margin-left:-1pt; position:absolute" /><img src=3D"data= :image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEB= AQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQH/wAARCAAbAE0DASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAABwUGCAkKAgT/xAApE= AABBAMAAQQCAgIDAAAAAAAFAwQGBwECCAkREhMUABUKFiEiGCUy/8QAFwEAAwEAAAAAAAAAAAAA= AAAAAAECA//EACkRAQACAAYBAwMFAQAAAAAAAAECEQASITFBUQNxkfATImEygaHB8dH/2gAMAwE= AAhEDEQA/ALAbx6gFUHCruua3rKsFMMDvK/BjZu2mcwdmDZDW+LBBRGGRYS3M6bOyDrRuPBR8Mx= TTQatUEUk9Go5nvujzW3N/m+6DizK0o6FqbmeLnGqRiK1tedm26ftJ0HdJ4cMNZg3jZduPhxR03= 3S3cDFMvXg7ffZF4gi4TUQ1DjUFHp95X/HtX1jtGj+vMdg+QCyRAYpjTcPIbgrE/dUprRB6grn4= FnkcMMk5QE13122/asENE9d9lM6ZcD3yLdzI0R2hNAl83CT7Urt/ZDeV8go8yOCkS5trYN0fXsL= 2s8JJW8FS+6+iVIF5XN443LyCQNp+mOeGmjF21EKI75QhG5S1Va1V6/c29TGEPGOaaqynLmVVZ0= n5DeivTHcTv/oqsb6R5H7biswo6/zAR/JqzMArSmcgqO9I6I2/7l9WUpWKtt1ioVPbRcvGSCSRh= mh7190fj11yoSWJnproe4bApHmWTvI8ypSLBZX0HfVjy+ekINWmZQyfFYrBQQNjJWDmY2KcCMFp= AuLw/Yj4+Eci3pV3osWHN1mF5GZrA7Y8aNMXvGulpv1VN6i8idFo863tPapzVUrLE5OeZx2YQmO= qpxeHpS6OrRAhJ3hMoNE5HkHUc0YPfsPY5ndB78/T6q4QO8jXAnQBpKuMd1OJVcHPFklXbIKIs0= zJaNhVYyylxUkKbIimtiRArWwwuCjT9ym5PBZfs5EJqrNXSP4EIxnu/cLlWyzLw+51V+k/SieWm= 0lBlWaVWINFrrduv8XgftJJ1jV1HVv1jM7KK3NyzOZElFJjJGidg1PbVEE3koViI0xY0FdziRMl= Yo8K/RWXfJP2bwWFLhzLhtuye/Lp4Zl0nI5b0Xjk+sOi67qGaBq2dW9Zln37c8hDRWBwJogs9xk= PH1pgJfTGSKjGrs45HNXrVsGjzfcyTX0bKoZ3APKsIiPEfgmeePSS5Jp9w972bcZUnz2SeiSk4r= lmYsJhVyNlyEKIcO14pXounKlhk+SOG9m6T82a2RGLrOHCLNKQEAhXKzqy+v8AmbsOrqIlqnW4q= t57yjL+icaAa4K27X1QDKoJVgpZSOiJuEyfdyAFycQmDKMCxYWXL6CcPXbdZv8AhljnC6qN5RDk= D8/7d4bCB5IRuhtY5mmq4sdSzfbCGPuO44dSy/W4XqSOdh8fxmfK17c9h1i9sWBz2jHO0n/q7Sd= yOJuZiabG63cOXIo8qTaKtSDWEGB0ty2WH7OstyXOLWuKVTKa11T1hsYKIp6t07h6S6LuGxZ3pU= 9BVw51eKBnBFgOkCL+Uy6TpCyboJH2jlsjoOYOHzt1jZRk2dxFuvPcPOXJ9wcqZ6Fqo4968aTzm= ioPHdI5Nv0TYcBqGVR4hUhu3x12JZZy6PxCFi/t2XGSVgJEhI6JtI4D2cInd8M2xUBs4PXAHsnj= W3Fa70U7RgNGlucZbeshMwqoLJtujGIRq7o2cT8SQFbxM0fzFhRuItXxRFscWIk09ESe7RYU/pi= ZxXcdO6y+9b/5gfH4zyRjdXGX25nVMtCK8Mni67MeOM9GWI3gkxvSuevYx2vR1Rrx9XohjBGVzU= zdlHxOULKIjLWVgM2O4cS2tNMprOnZVog2zqIbuSLN07+i7R10HeLWVGpMn0u1eSo/IwY6wK9fR= z9wfJyBJk2PVXHXbvIpwYdPlWrIhugi+2bNlE2m7lRd5hHDh04VVoL6GmthjrX6E6Cv2CVXTF59= F8AN/HFzHxTVNsxa47Cswkdlw6SnbqmOYcq5YgK6r9qL1RZHjCnwiophdu9eNyWGg97dz4co+tE= 490FFnK/2nEbNUkBXc+u2cOFxFKxwestrnbGNs6qqN9t9c5xjOdc49cev4yo+SKB+mWxVbb12aG= nBi4wgebxxrRjNYqpplRpdxd8YfLn8j7Cddx9D8v29KRnOz6hO4b8kfLPUcc0dfs6pt6HdDT4jG= y01TWV2bLRQ5ursHkGc4SHJs1vcV1wOwuu31HVX51OrYRChQK+vHVP7qm2g9m3Y2/ypOIJKams7= OqOmjWTN9Cb5uTiTQtrjV2okRw4bMsLb6Jb7I667Zx8d28w0aZ7f7IMEoP8AYIleqehCRBxiSy9= D7D19bcudOl/hbn0kEsquFVFPjRSTS093tT000xrrgZxSFMYAJ3AweR2dEAm+m+mREbuO2gw3Gu= +ce/2MR81QbJ529c+uyaeu2fXP+fxhW2h13t3eKp3jVNNN6e3Zv+e8XG+VDyg2VLJXAL769GQyt= lqaIPpVyF4+4zLh01Oa2a7HOBjG8egzwPfA9vvFxzp6lHGDVPVBsu9dNhqi7h0R11hBzj5KeufJ= O9sWn1Kh5OKB4dCmE7NCrXjsvPAiiT2ewyuhDFiPFi5KvkqtI5yFxo6UZoIMmmrt2q8SwjjXeAZ= fmelz5B0XOxUiaKvVdlnhMtN58RIO1tv/AEq5ePJQs4XU29Meu6qm22fT/Ofwl0/AYzRBY6cqJE= vBS0kCpRw29ESmU7KkAyRoVI27RXD0y7T02ZyAAENMXSOiTxgUFMXzNwg5bpqajEUUFNn5898GS= K5pBKXb1pxtxg82F3r0B4843AZZG6E4fizS/GDyRQzepB7/AAamMIDNxjF9MCmG6LMkOBDZ3tKa= q3YSDdkUTsOs7FD6CsJRvd85enP3ks7b8kGLCqePUFyzPUYtHBUmMwuxGBR63PjnskGR5XUGLea= kUipQQkRWPOWaOmj79KLKOGOrhyho2VhXMaSrifN4k0mYkxJW8Fj5CLRBMtNJu6wAjxWay6xiQp= htvI/fo1fTmeTGUOdd9t91S8iJudt85X9NV2rawiNMF8yKqdJJADuXgF/+3jE6nQx/h5GTjORgX= GrlCSYV1UFnB7Mk1zrtj2uW+mdsba+7XM5IXeUvv56YX0vHd5I2c1rx/wAMSGsLvK7PHu2RUjlJ= 8PRGeHcif7fC6wikxHTAGIkYnSSwwgfOLR8WDKDpJHV2RtmzDyQquLSetUCrNg9wogi4OffK71p= 5AJHKqKWqrlR8xRhD+Yv4/ZwaSn2EqQHHY6CRj0aiTBnITEvlaz6SsyDYIEDviqQQaeON0FEwy+= uY6WHG2VsRYDCbHISqYxWNkHhIMGNTeZuG7R883Wyo4331P6OHe6WrhdFlh6s51GtllGo/Vq23y= llCqisIZSZ97J6sYk4abJiVQBJ4NlEqW1IB1iA0v9B60fmnjJ0igYDhzLLK7ZTdgZECy7HduRHM= 3KLyR00NNTDfHBczEs0Hn5pg6T7ubp3x5x+qLAZ8gcm1mn0FGjhYUQhMLNBjaGI0WQYkYrJ13TM= WSYlUGD2OSNQFsptq2ESEGq8SbPt1WrfXr/Fu67nvbvPHWd12GHj8dkX/ACIARHZhGk3Wo3LIDU= kNWar41drKrYXUySVwr/v7c4109uMemfXFvacXZ3SNbjLaMTexB7A44kg9nLbGsA0gNNvhYwG+I= DU3kmUwOVfCw4tq+0ZfAi8+g2WcpKuEtVfzZ5/FUraF1lyF0YLhAbIRiR6Ry/eIYJFiXzO8VjBm= +FflLP36yfoiknp8aSmiX+vu9nvzttkyR3ovDIRi5gpqr5r+sf/Z" width=3D"77" height= =3D"27" alt=3D"" style=3D"margin-left:441.05pt; position:absolute" /></span= ><svg font-family=3D"Times New Roman" font-size=3D"16" height=3D"41.3= 3" version=3D"1.1" width=3D"209.31" xmlns=3D"http://www.w3.org/2000/svg" st= yle=3D"width:209.31px; height:41.33px; font-family:'Times New Roman'; font-= size:16px" xmlns:xlink=3D"http://www.w3.org/1999/xlink"><defs /><g><g><path= d=3D"M0,0 L209,0 L209,0 L209,41 L209,41 L0,41 Z" fill=3D"#7c7c7c" fill-rul= e=3D"evenodd" /></g></g></svg><a href=3D"http= ://www.anatomiadigital.org/" style=3D"text-decoration:none">www.anatomiadigital.org</= a><img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABA= QEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEB= AQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCABAAHgDASIAAhEBAxEB/8QAHg= AAAgICAwEBAAAAAAAAAAAACQoGCAAHAgQFAQP/xABLEAAABgECBAMDBQoJDQAAAAABAgMEBQYHC= BEACRIhExQxFUFRCiJhtvAWJSYyNzh2d4G1FxgZGnGRsbfRIyQzNjlGR1ViZIKh4f/EABwBAAIC= AwEBAAAAAAAAAAAAAAAHAggBAwUGBP/EADwRAAIBAgQEBAMEBgsAAAAAAAECAwQRAAUSIQYHMUE= TIlFhCBRxMjOhsyQnNjeBwVJUZGZ1dpGjseHx/9oADAMBAAIRAxEAPwBw7CPMc0a6hZFpBY0zjV= V7I+VTbsqrZgkaRZJBwqIFK2jIm3M4deYcmEekEYjzxjCG5R278D855OdMxYGpOna1YayNaceTT= y+Wxs/dVyRVaJSjVvAMV0W8sxN4rCVbIrbqJN5Jq5QTOc5iEAxxEVWdORd9Q+BO4gP8NGLe/cP9= +II24fTuHr8A9++3DKfyiAvTifTaHwyDcvXv61uPH4/T9Pw4tbJypyTgbm/wDlEM8uc5ZnRrJ5a= XNYKaVVWKnqYzDIFjWKdGsH80KsCot1BFXo+ZOc8ZcruM8yqYIcrr8pahiiqMtlqISzTT0smsB3= MkTi5WyOwt5rg4i/K15qeojP2ca5p8zO3rdwQnIacfM7u2jiQtgbHg48zwEnzaP6Y1+VyKZiGUT= ZtDEExTBv3AWYUN9hEQEBHb19/b3e/YPTv+zhHDkrhtr/xv796zex3H3feBYP7OHkEu5e3bsAf1= bhwvefvDmS8Nce/J5Fl9PllJUZTR1klNTKUg+YledJHSMkrGGCL5UsoAsAMe95HZ3mue8HPU5vX= T5hUQ5lUU0dRUsHm8BIoWRGkABfSXazNdrHcnC8/O65jWTtMSlMwJgWZPVsg3mDWtNsuzVBFxK1= 6rqOl4uLjK/wCOVVJnMyztq9XXkDN1VmTRBqLMSLuvGQHFjPQdzs8v0uByQyz7kStMLjHt7BHR9= w1N3uGnjR0mkR0ydvImNeySMb5xuqRdNmsqi6RTEpV2jY4imEW555VWPMlqb6e6iwJ6biZymdbf= y4xbWUWLJiHVsTwwWSdAt07l3A3UIjuHDndJexEhUau8gjoqQ7uuwzqLO36fAPHLR7Y7IyPQIl8= MW5k+gC/NAuwB24TpPhRxlVUlwWYsobfawF/S/T39zhyYXgsdB5jmlzRLj2nTWrnFuMs6uc23ST= n8gZpzhBOo2cpD+FjRhK9G27K0TJ+ceM3rZ46NEtEUzNEVBWIoJFDl4OZjW/NKpp9xfbsxZHpAP= SY0oz255FXs8A0pczOuKzFqTNhY2QykbBOIiXkBdP49+1BsxdNF0l2qabc5ClCH8pC2/i54MEPX= +FeVAfj/AKsq/wCG3v8AfwJDmd5hlp1voQwfZ5uxR2IKlpS072mZia6mi5dO3ljp8UErMtIx29j= 2EhNtIdDycUR+8btyKCYortyrLHPhY/FEZvbWXYkADZbW32+gBte/rgw4vBaw9KNpmo2t1jUtgS= xWKZepR0RBQmXKFKy8pIODARuxjo1jPrvHrtc4gRJu2RWVUMOxCjx0n+tTSDFPn0XK6pNPMbJxj= pwxkY59mTHrN6wetFToOmjxq4sKazdw3WTOksisRNRJQhiHKUxRAFddFNg5Sc3qYwHXcV4R1bR2= Vl71X0qlabrP177nELK2OCrWSn2cZfHhfJCukKjhFpFKph1dKbcC/NDUWhTRPiTW/rf1Z0XLq1m= Sh6pK3izxpqxLJxLo0ipkZaNMVwso1dAoh4DlQQTApNlAA3V6gMTGoLXLKEXUdSi5FwNgCcGHP8= f5cxdleMVmsYZGomRYZuqKDiWo1sgbXHILgAiKCz2CkH7dFcA7iiooVQAEBEoAIDxErzqb06Yxl= fYWSM8YboU30gp7HuOTKZWpUqY+iho6YmWb0pB2EAUMgBBHsA8KUaMHspob138wPHGN52Zk6Zhf= BepScioyYcEVNNPMTsW83THcwm2TQauJBicTNlHaDZuKhV3JiJplW8MvW5V3LmofMajs3Z61IXu= 8yz1lfy15JrBy7ZlJy0++im1km5+aknbV85URFOWj2sa0b+WTIJHfiCchECJhiUaiWOhQp6HVdh= fp/HpscGD0a9M/Wy76eoe4aItXenWjybTJ7GvTuSpzLeM29IMknBupB5Uvujl07HAlsRk3kTKey= AKlKAwOm6DobqFFS0eN9Q2P8W4HwI41LahsLxl8tGLabIStwmMk0mIr+QZ8lciTWOz1CTcPIeLn= oSQklzvWkjCtiR6rV42VQSRSWTJwAzmv6M8VaIuXpB4zxEtZF67Z9UMbepA1okySr8sy9x+tX1w= RcEbtikZiyrrESodAiVUVj9Q9ewezqgtXLwiNG/LsQ1jweVbxc2el3GCtHp+I5MrKXQhpCi1Qsj= KTAup+vRyDJR02SQaGXeKOVlE1CNm5iEVOWOgMsenUwLt2BewAIJPcXPQiwv8AQgwxFTdVembIk= 2hWaDqEwldrG7EQaQFUylSLBNOukBMYW0XFTjp84ApQMYwotz9IAIm2DjOEENSV60bM7DjW3aHK= ln/Fs7W5RzIz4ZTlIlwTzbBaOeVyTrEnFWmfkmz9Bwk9TkElDN23g+VUQEVfFAc42imJAIJAP9J= bHtvsSLb+vY4MR3TkAjqGwIPwzNi367wgBwyl8oi/JRpu/WBcPqzHcLX6cvzhcC/rmxZ9d4ThlD= 5RF+SjTd+sC4fVmO4vrx9+/DlP7Q5n+VUn+eKM8FEnlFzKJ/rOU/i1Kf54FRyWPz/8bfoxe/3Av= w8ej+L9viPCOHJY/P8A8bfoxe/3Avw8ej+L9viPCH+Jr940P+X6D86qw7fh3/YWb/Gav8ilwEnn= Acsqf1tQ1RyViJ7Ess0Y6YPIb2VMrGZx13qTlU79KIGQADkj5iJkjrOYtdZPyzlF+9aulCCVmdM= QdGwlz+cWVyNoVFlsvRVUrbcsdBxre10aVZx7BEelJowdTB3jwGKZQKVq3FYEkEigRIhCbEK0Nr= U1SxOjbANpz5OVSRucXVZKsxy8BFvkIx48NZp+PgETpPHSDhEgNVZAjg5RSN1ppnIAlMIDwEv+c= m4q2N06a7127DtdoHcv9P3o393vAN/UeEBG0pXSsSyKDsWBO9xsPUdP/Bh841TqS0ocyXUvoExL= Tsu1S2ZH1B13P94nZpGalauSTaURzXY1pXlTOGa7KMO2B0L5NMhBM5A4qCqUpRIBdja5OVfn3Lu= LtIWXsJIsGudsLYJxHQLvRJR6xaOlpClV2JFs+iHy4LxrmThJZJ2wdM3KgN3SCaJ26hxBYpyLaG= +bnp71t2ZxjqGi5zG2UE2bmSYU22KtHJLBHMw6ni9fmmRSNnzlon/l3Mesg2dEb7rpFXSTWOnu+= l8w7At61bWTRfCt7qGYat7cGTO7r7ZvVRCvxKM1IC2mglVVlv8AM3CXg7xyYKKiYgiQA6uMa5UI= 8mkpdtNiPK1r376bjqO2/tgwJ7Tk/wCcK2zBiZllnTXhqHx2la4NrebfH4yxzGWBnXyrFTlJZtI= wksio0figB1fHj2JBKoYTItw7E4l3Kw0cajNP+tTVPlDLGOX1To+QWdpJUptw/i3SUqZ/kEJloC= aLJ4u4SFaO3cB46SewfNHY3zeGI/m7BuAB8AHYPt9PHUfO0GDN09WDdJo3WcqAQAMcU0EzKn6Q3= Dc3SQdg3Dcdg3D14g0hbV5UXWNLab3IBB7+pvv1Hr6GFzMJ6EM3K80vV5lTJuNHrTTzm6s54qbW= 0qSUcZvMw+RDRLBFAjZs9NJIjIRnnvDFRBMSCQOvpHpAab450Xc37l633Idd0imZXDH1skSLmft= UKVOQ862YGXThZZ/A25Hx4OwN2SnlXp41RLxyj4DhV4gi08BhTSHzDsDa3BvyeFW90A+OkY1WfC= 219tB9QS3nQagwFGUkfM92C4K9RURT+aIgO49OuNDnMmrGtnKOa8YwONJujusLAmEjKS04xlG02= ZSwysAHlEGjNso1AFIszgfFOr81YpA2MQTDMyOpa6KQFTWrXt5QNLG19yNv4gH0JgVepXB3M91g= 6CQqGfcce3s9RGptGWhYOKZ0uuATFTPHjBFvIqEh3KMWqJbTITqJlFT+eMXoIJRRTTMMH1cctXV= /NQegzM+GKYws+ScGafsGUa447mzwT8K/csXR8ZINjLRUuopB2GKUlCumMwxVVWbOCNSpGTWbuB= Nw2IHT/wBPp9H7eOJxACGEALvsO32ABHt6+nEVlZbWVLDUQBexDWuLXtbbYbfjsYSv1P6U+bjq2= jadFZO0t0WHa0l9KyESfHNao1JcruJhuybOSSizCdVF+gQjJMzdNQCgiodQ5fx9gzhhHC3MtrOY= 9bOSdFbDGU9DWDG6FwXd3dzNsnUTJhUHES3XIhGItE3SHmxlSmTFRycEwQMA9RjE4zifzEigAKi= i17WPQ9+p6j39B9DCWmnL84XAv65sWfXeE4ZQ+URfko03frAuH1ZjuFrdOe38YjAod+2aMXe8fT= 7toIQD19w9+GUPlEQgGKNN24/8Qbjvv6B+DbDbv8Ng4vvx9tzx5T+8GaH/AEiqBijHBG/KLmUP7= RlRHvZqYfQfZ9emBVclj8//ABt+jF7/AHAvw8ej+L9viPCNnJZVKXX/AI23ENvuZvRdxEADcYBc= QAN/URD0D37duHkUTBsPftuAB+wNh/8Af+PCI+JofrFhP938vH+9Vd8O74eLDgacXFxnNXt3+4p= d7YEXz0f9nBlz9KMU/wB49b4rRyYdKunDLegenWjJeEcaXizSNzyWweT9lqURKTDlo0s7xq0bqS= Tlsd4JGrcCottlgFBMpSpCUA4svz0BAeXBlzYd/wAKMU/3j1vgTnLH5uWl3SFpDreF8oNsiOLrC= Wa9zS6darSUhHKt56ecSUcmi/WkWpPHOgoQqniEImmoJgMfYBHivyqzRHQDfxFG3odN+nb1w+cU= w1JYwgtBXOApLHDxVoSnxeVMOXiuwyDhYBiq7enMOSzVVJXxDKGjB83YItokoY5gh3LZBYVRIYx= yzYX1Ky7nnRZixNI0PEMZXqw2yW9WvEbjqCYZJXbw1DZShzyN3RT9ruwU6jpvfEObzTRNNA/zSg= HAiqlbLZzSubNUMjQ1WfsKtIZKodgXiXBgcDVcTYpNDGKabeIdTdJ/LR8EZRymQ5kvb02ozaKKI= +Gfi5mNoJ1ZeejqqrbBQyT6dp+dYdkoTfqI7ksStGjcxR333BVYnfcB+nfvxskvsCbsIAGN7n7Q= tfv0/wCsGJnN83vmCapM23akaC8NxU1UKc4dmaiNYRs027gm7tRi1sNik5V+zhYdKXVRUVjmRBR= OKRiodbldNUxZ7oo5kOu/JGtpbSrqcZVCCWiK9dzW+rIU6Ij5aPmIermmWDVd6weukTJmBZuqsm= ksomqkp0CcNxAKacnHWbhjQTddS+LtTp5SiSdlkqmg3mzwUhIGaS9BcWyNl6/KotEVXrYVRm0Xr= BQUhbH8JyBzFUURFSU6Wcq0jN3O/wAm5XxvKjOUa6sslS1clTNXDIXrEmNmTIyotXaaThHZw0WJ= 0qplMIFA22whxh1ADqIwUWO6vpNySQCSdWm29hcdevrgxsHQBqg1X5TwNrAk9MuIcJx+cKoviUl= RiMfY0ptKbzTCUtzltazzgKO4mOkzMK0nJrsReuyGbqgczYDuDlIeg3LjunMKrWa88PNIVFiLVe= 5R0xLmxlIt6msjDomtkuqYzQs9NxbYghMnlUvvcq6ECJl3AE+g5iRfJwigdfVwAk6hFnRugNtxE= xl7OBen6REQAPiPFfOU9quwjpJ1c6xEc+2c9ESusu/g4N28jJB23PNQWR7Ao8jXPkm7hRq5MnIJ= nR8VICHBJcPEAxAAZXA8ZQgYgIVBFzuApBtuQL3A7YMFn1fZR5x1cy+ox0tYsq9jxQFNpLgkpJt= MeqLjbHNfaq3Br1zlqjX4ptJ0XaKQC28ApCAVBRVIAUNWHTnzT9cOP9ZeOdKmu7HFbg18qTNerU= crFxcZFzEFI3JweLqUs2dQMnKwk3DSE6KEU+KRfxWoqqqguVVmq1VH3rmzRas48yTJuN8x6qblp= vwpV3hIynT0ZHWSWh4OuI1yPlIBw2qUJOV8Xji4C89qrybp4Q/U+A5lRbkbt0q21KrY5qfMa0bx= +MdTUpqpglc3YCcOMgy9amKs5jpA2VokitcKwm7HZnSyTRIiLsrkj5NMReGICBRA5zYjiuoDBSW= j1XCuLGwt5tZsfw6i2DBU9Cu/8vJqk3/5fmz95U/7d/fv7tuM4+6GNv5ebVKP/YZt2/o9p1D3en= GcaJDcr6iOMG2wuEW9sGBpYs0D656LkzHF8eaUMwPGFLvlRtr1mhAJpOXbSt2COmHDZuC7ggFXX= RZHSRE4ATxDlER2AdmC9U5sba46xTK1qI0n698fJ0qVkJmIc0zGHtZJB7JMUWDoz9zFt7CLhuVF= Eopppx6JurqMJzAPQJ0hSD+r3AAAI/R6/YeOIpFENugf/Lo/tARH/wCb8N3ijnHnPFea5Znlbl1= JQZrk0c0eW1uT1VfRT04mILkM89SrG11BMdwD3ucKHh/lJl/DeX5jlNJmdRWZbmxjbMKPMqSkqo= ZjDbQSAkLLY7kBhe3tbCmbzlm6ZICQb23FGq3O+ni2wygPYmTzPiy9Y2CGdJ7GKuN0f1+mtmgk3= ADKtnwhsHSIiUQASXYDzFrrxVENRvDnHWu/ELECNS5RwDYoB7k9m2TANlJGvNl2kVbFmzfpMcjJ= wFge7F6vPOVDKGM0Zqmf8ZMghsIbGABDv29PX7DxAZbEmOpp4Mm/pdeNL9+mbax6EfOpCIiImbz= seVtLtjbiIgZB4mbuO4iAiHHCzfmPmvEUApuI40z2JV0Qy5nFTVFbTKbH9HzGnp6KvjIO+8roCL= tG+4PVyzl3R5FP8xkE7ZPIzBpFy96mCkmIt9/l801TSSe5EavpBQOuNJzUZp0104imaLcoxO+UF= /JxadyocyrY6jYoOfhHzSZYxVsiG7qBtVbmY56i0cmYPDNDLkBM4A5ZLkMpXUOTVy2RLuGmeHAR= D1C+ZUEP2fhz33D4DxfVxjGtHkGM40ZHj7JGtiMW1jZrqJzSrFMBAjCTfCoZWZjy9ZzFZyxnqJF= TC6SIm7Aq4bDbJnSRIRQ3UcoABjdvnCAAHVsAiAb7b7B2DhfyNHrPy5njjO4jdtRTcWHiABX26E= KDYWYXvdhU4qBGFqDG0igAvGNKvt1CG5T3FyB2NulesDaStOumGLfROB8UVTHKEooVSUeRDRd1O= Sok/wBGSUscs5kJ+RRR3EUG7uSVQbiJhRSTExt49X9Fumyn55m9Udfxo1YZ1nxkxmL0WetS7l8E= 0wSiZLxId1PL11PzDBJNA3gRCQplTAyQpnExhtbxxOQpyiUwblH1Dfb37+of0cQ3PU3Pcnuff/m= 303xvwn7rI138ve458yHGZo5fCl/u9MtEzU5O7RNrc097Y1IR6qx8/JL1R5CLyp1SolBFWXO8dI= oETRKqUhALx5fJzwfIZd13XPUxjnDExiTTPAxtyY1qLeqzj6HZlsTBODY1SJssyou5sMg2Q8w/m= FW79yZmdQwHVRKq3TM4Z7PY+vlG+/vMKKQmH6TGEgiI/SI7/Hj9U2yKQbJplIHoAFAAAod+xQAN= gDv6AHGwTeRkCOLjTqZy1tgCVW4ABttsff2MVVwHo40z6RRtshgjHLDHJbcmzPbFkp+zyyUilFe= ZWaqLGs89MJsyNAcuT9bXy4bGEVBMUpQLWaX0K8s/U3Y5/Ni2Kce3mck3hp2ftlatNshmMg6A6x= wnlkKxZYiIeFfHauFgmkmijeVFBdUHToE1Tcbk5gd5tVKwI5a1xNFnHX+21PGF8uDpBVwxxzjm+= yBoG43x6VIB8JCGinKiJXqweUjV3yMk82atVR4qVF6Vst2XGNHr2LbvArwUbjqXo03YFLvYWas+= RqlCN8cJs5+uVZilaKtRK/N5JjGqZGsczkbBKxk45JJJomI37NDlUMtJDW1leKMVVY1PEWJZFhp= 40aaWQrYK4Z0WNCVYh1YAi2PNZhnVXT5hLRUVC1YYKRJ5lRtMjTTMwgRL21IFjZpGFwLFW3AGJN= kjHnKh1bWOiushtcL367uIc9erihLdKVy6DD15mgqjE2E9fnoKbN5Fk4R9lNbaJnHhOSJxgH8YS= qTarcsPlv4tvuPLbXMJ1er32JtEbY8ePVch5AO/PaqounY2DmKjpO7LtpVzFHjySajYzR2h4Dc5= 3KJ2wKBxp7HGhLUhUp+su395qETHRSIQhT1SZm0X0PX5Z3MWqxhDmVr7TrO6uL2HQVYnVZoyFaq= tZj1XKBWL5N/JX2jLU40vMxIVrJMXH0FzeHUm2qje5WyHUUqcvOwqtlaM1GcK7Rq0tZIphKvZBe= C6fKSNhm0IxVDx2btn91RlWS/MNHSZ9GsCxM+uoZ3Mj6iEjBSFQraSjEHULA2YY+GlzriL5dZKr= IJnlMoXw4CqGNAqkufEma4PmBK2IY9CL4svUNNukLGWquSyRUaMxhtTWSatcrZK2FCZuL97MVg0= vW420yLmPczDyrRyLiVkYJuQCx7NVZQVQjyCRB4Jc483SHpzyvieZtFwzNaYu2WybhYuvMHTGbn= bIEdDNnjybWiW0jY2TV+2YN5uUkPKtymWFy0KzO9VOs0RBPOOBXQQU1QYaepWsREQNUpq0SyFbu= U1ANpBOkXHUEjYjHosuqKyqpxPU0zUbyO+imk0+JFGraUEmkkFiAWJBsVItvj/2Q=3D=3D" wid= th=3D"120" height=3D"64" alt=3D"" style=3D"margin-left:417.75pt; position:a= bsolute" />ISSN:</spa= n> <= /span>2697= -3391Vol. 8 No.<= /span> 2.1, <span= class=3D"awspan" style=3D"color:#ffffff">pp. 19 =E2=80=93 33, abril<= span class=3D"awspan" style=3D"letter-spacing:-0.2pt; color:#ffffff"> </spa= n>- mayo 2025 Revista en ciencias m=C3=A9dicas, salud p=C3=BAblic= a Art=C3=ADculo de revisi=C3=B3n bibliogr=C3=A1fica.18.Suligavi SS, Saiyad </sp= an>SN, Doddamani S= S, <spa= n class=3D"awspan">Mathri A. Early<s= pan class=3D"awspan" style=3D"letter-spacing:0.3pt"> Diagnosis of Hidden Hearing<= span class=3D"awspan" style=3D"letter-spacing:5.25pt"> Loss Following Temporal</span= > Bone Fractures. Indian= Journal of Otolaryngology and= <span= class=3D"awspan">Head & Neck= Surgery [Internet]. 2022</sp= an> [cited 2025 March <= span class=3D"awspan" style=3D"letter-spacing:-0.2pt">22];74(Suppl3):4336=E2=80=934340.Availablefrom: <a hr= ef=3D"https://doi.org/10.1007/s12070-021-02933-x" style=3D"text-decoration:= none"></a><a href=3D"https://doi.org/10.1007/s12070-= 021-02933-x" style=3D"text-decoration:none">https://doi.org/10.1007/= s12070-021-02933-x</a>= 19.Deshmukh KA, Fatima U, Siddiqui A, Tegnoor MS. Evaluation and Outcomes o= f Hearing Loss in Temporal Bone Fractures: A Prospective Study. Coreus [Int= ernet]. 2023 [cited 2025 March 22]; 15(10): e46331. Available from: <= /span><a href=3D"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618031/" st= yle=3D"text-decoration:none"></a><a href=3D"https://= www.ncbi.nlm.nih.gov/pmc/articles/PMC10618031/" style=3D"text-decoration:no= ne">https://www.= ncbi.nlm.nih.gov/pmc/articles/PMC10618031/</a>Esta revista </span= >est=C3= =A1 protegida bajo una licencia Creative<span= class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spacing= :-0.2pt"> Commons en la 4.0 International. Copia de la licencia:<span= class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spacing= :2pt"> <a href=3D"http://creativecommons.org/licenses/by-nc-sa/4.0/"= style=3D"text-decoration:none"></a><a href=3D"http://creativecommons.org/licenses/by-nc-sa/4.0/" style= =3D"text-decoration:none">http://creat= ivecommons.org/licenses/by-nc-sa/4.0/</a>D </sp= an>i a</spa= n> g n =C3=B3 s <= span class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#= ffffff">t i<sp= an class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-sp= acing:0.45pt; color:#ffffff"> c o = M = =C3=A9 d i = c oP </spa= n>=C3=A1 g<= /span> i n a 32 | </span= >33<img src=3D= "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAUDBAQEAwUEBAQFBQU= GBwwIBwcHBw8LCwkMEQ8SEhEPERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQ= UFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eH= h4eHh4eHh7/wAARCARhAxkDASIAAhEBAxEB/8QAHAABAQACAwEBAAAAAAAAAAAAAAECCAMGBwQF= /8QAWBABAAEDAwAECAsDBgsGAwkAAAECAwQFBhEHEiExExQXQVFVlNIIFiJUVmFxgZKT0TI3dBW= RobGysyM1NkJSc3WChMHTGCQnM6LDJWJyJkNFRmOjwuHw/8QAGwEBAQEBAQEBAQAAAAAAAAAAAA= ECAwQFBgf/xAA1EQEAAQMCBQMBBgUEAwAAAAAAAQIDEQRSBRMUMZESIUFxMzVRYYHwFSJCodEGI= zKxNMHh/9oADAMBAAIRAxEAPwDpoD+lPxQANEosoAAECSqSLKAKgAkkJPeE94pIACT3Is9yAABA= kqkiysBAIkosoKkrHckrHcqACCSEiwACglXmVKvMCEhIIAKAJJAAQsJKLKKSACD9HDteCt8z+1V= 2y+XCtde51qo+TT/W/RYmWK5+BjPeyYz3sswANKAAJKpIAAADIAKgAqsZCQPgAlCEqnsYkiNQko= soKMZ7e1ap8zGGKpy1TAksuWNTDeQFpjsIgmQWYRqUhJ7wnvAAASUVBRJUnu5QYVT5mE9yzPM8p= Pc5z7ukIkwqpgliLKfZ2osLTT1qo9Dk+5KY6sfWy5daacQ5VVe76AHocAAaJRZQAAIElUkhZQBU= B9uBpebm4OdnY9masbAt03Mi5PZFMVVRTTH2zM931T6Hb+jros17fGi3tV0vO02xZs5E4805Fdc= VTVFNNUzHVpmOPlR/S897VWrNM1VziOzrbs13JxTDoU96PY5+DxvD1tof5t3/AKZ/2eN3+ttD/N= u/9N5f4tpN7t0N/a8cOXreV8H/AHxZpmbWTo2R6KaMiuJn8VEQ6JuzZe59rXONc0jIxrfPEXojr= 2pnzcV08xz9XPLva12nvTiiuJlzr0123GaqXX57kWe5HrcAAIElUkVYAESUWU5gWElY7klY7lQA= QSQkWAAUEq8ypV5gQkJBABQBJIACFhJRZRSRaYmqqKYjmZ7kfZgWv/vao+qlJnDMziH02aIt24p= jzd7MHNyGM97JjPeLAA0oAAkqkgAAAMgAqACqxkJA+BJWUSSElJhkiNMZRlLCe/hJnCwkx28oyY= zDm3EiSqSKR3s0pjiFVBOFFGEwMp704BAQCUVEX4GFc89jKZ4hxpVKwhCjnhtAEBaKeZ59COWmO= IappzOSZSUZVMeJdXPD6QHVxABolFlAAAgSVSSFlHPp2HlajqGPgYVmq/k5FyLdq3T31VTPEQ4G= xXwZ9gzh4kby1SzHh8imY0+irvotz2Tc+qau6Pq+15Nfq6dLamue/wAO+msTfuRTD6N57OxdlfB= 71LTbc03MqvwNzLvRH/mXJuUc9v8Aox3R/wD3L7fgm/u6zv8Aa1z+6tP3/hDTHkk1iP8AVf3tL8= D4Jv7us7/a1z+6tPy1Vyq5oaqqu81f+n26aIo1VNMfg9T1vVcDRdMvanqeTTjYlmIm5dqiZinmY= iO765h1WOljo9nj/wC02L+Cv3XF0/8A7pNc/wBXb/vaGnTpwzhlGstzVVMxiWdbra7FcU0w3m0D= dm29fqmjR9bwc2umOardq9E1xHpmnv4+5+nnYuNnYl3GzLFvIx7tM03LdymKqao9ExPe0MxMnIw= 8q3lYl65Yv2qoqt3LdXVqpmO6Yluf0S7hvbo6P9L1fJqpqyq7c28iYjjm5RVNMzx5ueOfvcuI8M= nR4rpnMNaTWRqM01R7tcOnfYNGy9ft39Opq/kjP5qsRM8zarj9qiZ9HbEx9U/VMvN23PwktMtZ/= RVnXqrcVXMK7ayLc+emetFM/wDpqlqfpUzTqeLNNm1fmL1HFu9zNFfyo7KuO3ifPw/QcJ1VV/TZ= q7x7Pl66zFu9iO0vedP6O8Kvoyo29XoVVWu5GlVanGp+Kz1aLvXiqjH8Jx2VdXsmOfNM+d0jb3R= xo2dtjb+rapum9p97XMivGxrNOnzdiLkXJoiJqiuO/iPNHe9Kubc6b691U6/Tq2k0RExP8n05t6= MTiKerx4P0T39/f2vl1HY3ShmWtIteKbUsW9J1CvPxrdm7dinwlVybk0zz/m8zMREcdnnfJt6qu= jMc2Pec9/r7f9PbVYpn+ifb2dH0Dojrz8/VsHLz9Qt3NPz6sTwuPp/hbVcRETFXWmunie3mae3j= sfp6T0c7Z0zTd9YW48+u5l6NNiLeXasVT4CiunrU3IoiviqaueJpnu6vf2ubeWsdJG0IzLm5Ns6= Jm6fnZ3jkVXLNV6xavcRT8maa4mn7Kvr4878nae6N+7n3BuTU9I21pesRqduxTqWHctc2OKKerb= mIqrie6mrzz5/q49M16u7RNfrj0+3aY/JyxZomKfT7vjwejrQ6NO0S/rW6b2De1+5VTptu3gzcj= q9aIoruT1o463NPZ5ut9U8fTp3RRh0xkU63uSvBu29bjR7UWcKbsXblUUzRVz1o4iet9z5r2+Nz= 7UvWdC1vbeiXcrSrs3cOnMx+vXhTX8uIommrjiOYmO/js9Ecfi0dIm4PFqbV+nEya41mjWartyi= etXfpiOIniYjqdndERPomHoijX1xmmr2+sf2/RxmrTU94di3H0V4Gn2cy5p25pz69O1CxhZ1m5g= zamibtVMRMT1pir9qP1fqal0c0a/u/WsOa68K1pVy3i0fyZpEeBqiaIq5nm5z1uZ7eZqn6+50zL= 6SNcyKtXm5i6fH8rZtnMv8AFuv5NdqYmmKfldkT1Y555+52La28d87o1DW7OnbY0fXIzr1Gbk4l= 6zM27VcUxRFVPNcT3RHfM/c5XLeuop9VVXb5zHzhuivTVTiI7uldI21ruzt15GhXcujL8FTRXRe= po6nWpqjmPk8zxP3y69Hc7V0sZu4s/eV+/ujTLGnal4K3TVYsxxTTTFPyZ/aq831v1dS6JN1afs= +rdF+5p04NONTkzFN6qa+pVETHZ1e/tjzvqWtTTRao51UZn+7x12Zqrq9Ee0OgAPY86SEuy9H+y= dY3vn5OFo1eLTdx7UXa/D3Jpjjnjs4iWLl2i1TNVc4iG6KKq5imnu60P2d6ba1HaWv3dF1WbE5N= qimqqbNc1U8VRzHbMR6X4zVFdNymKqZzEs1UzTOJEq8ypV5m0QkJBABQBJIACFhJRZRRnZom7ci= iPv8AsfqUxFNMUx2RHY4cK14O11pj5VTnYqlyqnMgDLIxnvZMZ7xYAGlAAElUkAAABkAFQAVWMh= JIfCSIqSsAIglUsOGVU9qcszLpEIKkwipwcKSQSACZABUnvRZ70CA4AVEmGTGqeIQYVT2sPOySY= YlqEARUAjtngwZZW457XIkRxHBzx3ukRhMkosoqPoAdXAAGiUWUAACBJV9eiaXm61q+LpWnWpu5= WTci3bpj0z559ER2zM+aIZqqimJqntDURMziHcOhLYte9N00+M0VRpOFMXMuru6/+jbifTV/VE/= U2+tWrdm1TatUxRboiKaaaY4imI7oh1/o72rh7P2xjaNh/Kmj5d+757tyf2qv+UeiIiHYrlNU0T= FM8Tx2TL8NxHWzqr2fiOz9NpNPFi3j5+XgXwot60xTRsvAuc1VdW9n1R5o76Lf/wDKf93637/wT= v3dZ/8Ata5/dWnUel3oks6Lt/Vt3X9w5efmeEi7cpuWaaYrqrriJ7Yns/adu+Cb+7rP/wBrXP7q= 09t+bP8ADoi1Off3+rzWuZ1ea/wdl6f/AN0euf8A0W/72hpy3F6f/wB0muR/8lv+9oadPof6f+x= q+rycV+0j6Daj4LMV+TOvr89X+ULvU+zq0f8APlq/p+Hl6jm2sLAx7uTk3qurbtW6Zqqqn7Ibo9= Fm3Lm1th6Zo1+KPGLVua780zzHhKqpqq7fPxM8c/Ucfu08mKPnJwqieZNXw+bpr6kdFm4ev3eKT= x9vMcf08NN9I/xrh/6+j+1Da34Smq2sDoszMeqvi7nXbdi3T56vlRXP9FMtUtI/xrh/6+j+1DHA= 6ZjTVz++zXEpib9MN1OkvW8vbexdT1vAptV5OLaiq3F2JmiZmqI7YiY9PpeCYPwhN228u3Xmabp= F/HiqPCUUW66Kpjz8VdaeJ+viXtHTt+6XX4//AEKf7dLTXlw4No7OotVTcpz7uuv1Fy1ciKJbx4= 1ek732Xbu1Wqb+nariczRVxPEVR2xPoqpn+aYeC9COl720ncm6tJ2xe0SL+Feox8urUKbkxV1a7= kUzR1Psq7/qeudAGNkYnRHodvJoqorqouXaaZ/0a7tdVM/fExP3ut9C1dFzpV6SKqOOPHqI++K7= 0T/S8NqqbVF63T7xH+Xprp9dVuqe/wD8eI9MFjX73SZnY+s04l/V7k2aaqcCmubdUzbp6sUxV28= 8cfe7BonQPvjUcSnIvzpunTV3Wsm9V1+PTMUU1RH8/L0fRNLx874UOu5d+iK5wMK3dtRPmrm3bp= if5pqfJ8InpF3HtjXMLRNAyacPrY0ZF69FumqqrmqqIpjrRMRHyZ83n/n+nTrtRXy9PYxE4h4p0= 1qn1XbucZdSn4PG8PWuh/m3f+mw6GdG3noe/twaNt6/ok5+Ha8Fk15nhJtVRFcfsdWOe/08PSfg= 37p17dOjatf13UK825YyKKLc1UU09WJp54+TEPzeiT9/e/Ptq/vIcLur1E03bV6Yn0x+H5w60WL= UTRXbzGXQt3bN3fvbpfztH1HK0W3q9vBoyLldqblNiaIiiIiOYmrn5Uebh7zuHbObqPRZc2pZvY= 9OZVp1vFi5XM+D61NNMTPMRzx2eh4T066/rG3OmnUM/RM65hZNWHZtTXRETM0zTTMx2x6Yj+Z7V= urV9SxOhS5rePmXLeoxpVq9F+IiauvNNMzV6O+ZcdVzposTGMe2Pq3Y9EVXInv8tcd49GGubW1n= RtLz83Trt7V73gbFVmuuaaautTTzVzTHZzVHdy7THweN4T/+LaH+bd/6bote4t57x3BpVq5n5Oo= 6nZvx4hHVp5ormYnmOIjz0xPb2dj3HE2f0212KK8jf+HYuT30RHW6v1c+DfT1Wo1Onppiq5TE/P= 7w8di1ZuzMxRMw803J0Gb20fTq8614hqdNuOa7eJdqm5EeeYiqmOfsjmfqfvfBE/ys1r+Bp/tw9= v6PdO3XpmlXsXdusY2rZHhetZvWqJpmKOI+TV2R5+f53mvQvYtY3TnvqxZoii3TVc4pjujm7y8F= XELmo0923cmJx8x9XqjS0WrtFdPtl5v8Jj97Wd/D2P7EPNHpfwmP3s538PY/sQ80foeG/wDi2/o= +Vq/tqvqJV5lSrzPc86EhIIAKAJJAAQsJLmwrPhLvWq/Zp73DxM1RER2y/Ux7cWrUU+fzkzhmqc= OSUWUc3IAAYz3smM94sADSgACSqSAAAAyACoAKrGSe4knuRWKopCQMap4VjPektQhMAy2ncvIiC= 8dqSpKiAAAIMZ7xZ70FiQAUcVc81M654jhxyzKgDOCEk4UGssWVuOO1IjmeHJDVMM1SANJCTCLK= A+gB1cQAaJRZQAAIGy/wbtgxo+lRunVLURqGbb/7tTVzzasz5+PTV3/Zx6Za36bk04efYy6sazk= xarivwN6Jmivjt4q4mJmPveqf9oHedNMU0adoNMRHZxj3ez/9x8rilrU36OXZj2nu92juWrVXru= Nit367iba25m61mz/gsW1NXHnrq7qaY+uZ4j72ts9Pe+pqmYp0uI57I8WmeP8A1PwukDpQ3JvXT= LOm6pRg2Ma1d8L1cW3XR16oiYjrc1TzEcy6O8/D+D00UTOopiZddVxCqur/AGpxDv8Au3pc3Zub= QcjRdSjA8VyOr1/B2Jpq7KoqjiefTEPYPgm/u7z/APatz+6stYHfOjzpS1/ZGi3dK0rD02/Zu5F= WRVVkW65q600008fJqiOOKY8ztr+HxVp+Xp6Yj3y56XVYveu7Pw251XTsHVcC7gali2srFu8eEt= XaYqpq4nmOY+2Idfjo62LHExtTSPvxqXhX/aF3l6r0L8m7/wBRJ+ELvH1ZoX5N3/qPiUcJ11PtT= 7fq+lVr9NV3/wCmxmj7f0LR5qnStIwcGqqOKqrFimiZj0TMQ+nU8/D0zAu5ufk2sbGs09a5cu1R= FNMfa1e1Hp731lWposRpWFP+lYxpmr/11VR/Q6JubdW4ty3Yua5q+Vm9Xtporq4opn6qY4iP5nW= 3wLUXKs3Zx/dividqmP5Idn6cN/fHbcNNOF16dJweaMaKo4m5M/tXJ+3iOI80fXMujaR/jXD/AN= fR/ah889yUzNNUTTMxMTzEv01rT02bXKo7PjV3ZuXPXU3t3TomHuPQMrRc+q5GLlURTcm1VxVxE= xPZPb6Hn2J0DbEsZNu7XGpZFNE8zbuZPyavqniIn+lrHGu63651H2mv9Sdd1uY4nWNQ4/ia/wBX= w7fBtTaiaaLuIn6vpVcQs1zmqjLb/pF3pomw9uVVVXLEZFNnweFhUTHWrmI4piI81MdnM+aPuh5= f8EnIu5Oqbqyci5VcvXfF67ldU9tVUzdmZn75eBXbly7XNy7cruVz31VTzLlw87NwpqnDzMjH6/= HW8Fdmjnju547/ADvRRwaKNPVbir+ar5c6tfM3YrmPaPh7vqu7MXaPwmdTzNQueDwcqzaxr9fHM= URVbtzFX3TTHP1TLvnST0caH0kU4eqWtUnHyLdrqWsnH6t23ctzPMcxz2988TE+fztWtAxLu491= abp2XmXfCZ+Vax6r9czXVT1qop57Z7eOe76nvWJ0A3sSmacTfWfj0z5reP1f6rjx6yxb0tVExc9= NcR+Dvp7tV6mqPRmmZd66Jdg29g6fm4lvU69Q8bu03Jqqs+D6vEcccczy6Z0Sfv6359tX95DuWz= 9DwujXbOdd1jct/Ntzcm9cycuvq9WIp4iimJmfRPd2zMtUtzbiydR3dq2t6ffycOM7KuXaYouTT= V1JqmaYnifRw4aPT16uq7HqzmO/6uuou02Io9u3w7d8Jqf/ABZzf4ez/Yh77oWPg726GcLTreX1= LWbpdvHruW+KptVxTETHHpiqO76mnWVkZGVem9k37t+5PfXcrmqr+eXLhZ2dhRPieZkY/Pf4K7V= Tz/NL69/hdVyxboirFVLwWtbFFyqqY9qntej7PwuiXpT21k6rrlrLx87w9vw04/gqbNXU6tMz8q= rvmqI57OHq/SVtHWt114VzRt45uhU2KaorpsRM03eeOJnq1U9scT6e/wA3n09zc7NzerOZmZGTN= HPV8Lcmvjn0cy5cfV9Wx7cWrGp5tq3T3U0ZFVMR90S5XuF3rlVNya/5o/JujW26ImmKfafzbj9G= e1tX2thZljV9z5OvV37kV27l+Kom3ERxxHWqqdB6If39b8/+qv8AvYa8TruueudR9qr/AFcFnUd= QsZFzIs5+VbvXf/MuUXqoqq+2YnmWKODXMV+quM1R+DVXEKc04p7PQvhMfvazv4ex/Yh5o5MnJy= Mq9N7Kv3b92Y4mu5XNVU/fLjfa0tmbFmm3M5w+deucy5NX4iVeZUq8z0OaEhIIAKAJJADK1RNy5= FEechX0YFrmrwtUdkdz7UopimmKYjiIZMTOXGZzKSiyiIAAMZ72TGe8WABpQABJVJAAAAZABUAS= VVCQkVioiJCVSxWe1GZagFRFyEKiqEgggvCSNZABMJPeiygAJVJKsKu2eUZJLm2nCKAgcLTHM/U= BTHHayU4dGEAFhJRZQR9ADo5AA0SiygAAQJKpJCygCoAEkJPeE94EiKAk9yLPcgAAQJPcqSKytV= 127lNy3XVRXTMTTVTPExMeeJfb/LOr+tc72iv9XwwMzRTV3giqY7ObMzMvLmmcrKv3+r3eFuTVx= /O+dZRYpiOyzMz3SVjuSVjuaZAEEkJFgkAUEq8ypV5gQkJBABQBJIR+hhWupb69UfKq/oh8uJa8= Ld7f2Y7ZfpMzLFU/CgMsJKLKAAAMZ72TGe8WABpQABJVJAAAAZABUEmFFViSSSCMap8ysZ70lYQ= BGl8yLPciILxKMlViMphEVAAJRU4RYE4UBjPYwZ1T5mPDMtQgJwirwxXkMCM6Y4hKI5llMLTBKc= qxOWmMrKEgpKcKCOYc3imX82ufhk8Uy/m9z8Ms9Ra3R5OTc2y4RzeKZXze5+E8Uyvm9z8J1FrdH= lrk3NsuGUc84mV82ufhTxPK+bXPwnUWt0eU5NzbLhHN4nlfNrn4TxPK+bXPwnUWt0eVizc2y4Ul= z+J5Xza5+FJw8v5td/CRqLW6PK8m5tlwDn8Ty/m1z8MniWX82u/hleotbo8pybm1wDn8Ty/m138= MnieX83u/hlOotbo8kWbm2Xzz3jmnCy/m138MnieX82u/hleotbo8nJubZcI5vE8v5td/DJ4nl/= Nrv4ZOotbo8nJubXBPcjnnDy/m138MniWX82u/gk6i1ujycm5tlwDn8Syvm138EniWX82u/gk6i= 1ujyRZubXAkvo8Syvm138EpOFl/Nrv4JOotbo8rybm1wwOfxLK+bXfwSeJZXza7+CTqLW6PKcm5= tl88o+icLL+bXfwSeJZfza7+CTqLW6PK8m5tfNKx3ObxLL+a3fwSsYWX82u/gleptbo8pybm1wD= 6PEsv5td/BKeJZfza7+GU6m1ujycm5tl88jnnCzPm178EniWZ81vfglY1NrdHlZs3NsuAc/iWX8= 2vfhk8Sy/m178Er1FndHlOTc2y4EnzPo8Sy/m178Ek4OZ82vfgk6izujycm5tl8w+jxHM+bXvwS= Tg5nza9+CTqLW6PJybm2XzD6PEcz5re/BKeI5nzW9+CTqLO6PK8m5tl869szxEczL9vTNobq1PG= 8Z07buqZdjrTT4S1jV1U8x3xzEP0sLo+3rFc117U1mOO7nDr/RidXYj+uPJybmP+Mvxce1Fq3FP= n88uV2H4i70+iuseyV/ovxE3p9FtY9kr/AEY6uxvjy5ci7tl10di+Iu9PotrHslf6HxE3p9FtY9= kr/ROrsb48nIu7ZdclHY52JvT6Lax7JX+ifETen0V1j2Sv9Dq7G+PJyLu2XXR2L4ib0+iuseyV/= ofETen0V1j2Sv8AQ6uxvjyci5tl11j53ZfiJvT6K6z7JX+jH4h71+ius+yV/odXY3x5WLFzbLrg= 7H8RN6/RXWfZK/0PiJvX6K6z7JX+jXV2N8eV5FzbLrg7H8RN6/RXWfZK/wBD4ib1+ius+yV/onV= 2N8eTkXNsuuI7J8RN6/RXWfZK/wBE+Ie9forrPslf6L1djfHk5FzbLrg7H8Q96/RXWfY6/wBD4h= 71+ius+x1/onV2N8eTkXNsuuJy7J8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHk5FzbLrg7H8Q96/= RXWfY6/0PiHvX6K6z7HX+h1djfHlORc2y64Ox/EPev0V1n2Ov8AQ+Ie9forrPslf6L1djfHk5Fz= bLrQ7J8Q96/RXWfY6/0Sdh71+ius+yV/onV2N8eWuRc2y61PenDsnxD3r9FdY9kr/Q+Ie9forrH= slf6HV2N8eTkXNsutTHZ2I7N8Qt6fRXWPZK/0Sdh71+iuseyV/odVY3x5Xk3Nsut98I7J8Q96/R= XWfZK/0T4hb1+ius+yV/odVY3x5OTc2y64yh2H4hb1+ius+yV/ofEPev0V1j2Sv9DqrG+PJybm2= XXkl2P4ib0+iuseyV/oTsTen0V1j2Sv9DqrG+PJybm2XWx2P4h70+ius+yV/ofEPekf/lbWPZK/= 0Oqs748rybm2XXB2L4ib0+i2seyV/ofETen0V1j2Sv8AROqs748rFq5tl1ye9JniHZJ2JvT6K6x= 7JX+jjq2PvLnj4r6v7JX+h1VndHleTc2y66OwfEfeP0Y1f2Sv9D4j7x+jGr+yV/ox1FrdHleTc2= y6+xdi+JG8foxq/slf6J8R94/RjV/ZK/0Ootbo8nKubXXk4dh+JG8foxq/slf6M6NibzqjrRtbV= 5j+Er/Q6i1ujycq5tl1+I4jgl2P4ib0+i2seyV/ok7E3p9FtY9kr/RrqbO6PJyrm2XW+xOHZPiJ= vX6K6x7JX+h8RN6fRXWPZK/0XqbO6PKcm5tl1yCYdj+Im9PorrHslf6HxE3p9FtY9kr/AEOps7o= 8nJubZdbHY6tib0+iuseyV/onxF3p9FdY9kr/AEOps7o8pybm2X6PAD8C/WgAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAD79v6Vla5rWLpOHTzfybkUUzPdTHnqn6ojmZ+x8D3n4P20/ENKr3H= m25jJzKerjxPfTa/wBL7ap/oiPSg9G25pGJoeiYulYVHVs49EUx6ap89U/XM8z979EiOBAAAAAA= AAAAAAAAAAAAAAAAAAAcVc8yzrniOzvcYJwjIBiLwgJMCgIkxyvADHjhO9mkwDHhGRwDDgZcJPc= DivVdSjmO/wAz4/O5r1XXrmfNHZDjmBWExDGaWcwA4+IThyTDGY4US3RNdcUx53300xTEUxHEQ4= 8S31aetMdsudFYpLLhBEJXhBMJwjJOBUlOIZSgNRAGkAAAAAADl+1tbFx9Qp1PT68eLmVcw6rmH= VH7VNy3MVzEfbRFcfbw7PG29OqysKIxaJtaPdm1rU01TPhOra8NVM+jmabtv/dp88g8+OXctH0z= S8/B03WrmNTRj4l3I/lK1RMxE00R4W3H1daJ8H/ux5zWNP0rS8bUNWoxaLuPlZdidNtXJnjwVVM= Xq/t4iaKJ+2QdNHoVe2NPs39QsXMejjVbtVGi1TVPyafBeGpmPTz17VH31eh1nc2HaxKMLDx8Oq= i9i4VurOucT23bny+30cRVRT9sA/Dct+xXZtWrlVdqqLtPWpii7TVMRzMcVRE80z2d08T53bNcr= 0jQ8qNCo23j5seL26qsu7cuReu1V24q69E01dWKYmeyOrPZHa59O0HTM7L2xau0UWreRpt7JyO2= qJvVW670xE9WJntiimPkxzx3RyDo47nuCjbuVoGVkY06RayseqjwP8m2sziqJniabk3aer3czE8= xPZL9CbG36922tq29vYtFrJot0VZc3Lk3qLldqKutT8rqxETPdxPPH1oPPHLTYrnFqyYrtdSmuK= Jpm5TFfMxM9lPPMx2d/HDsmLGnaNtfT9Tu6NjapkZ927FVWVNfg7NNuYp6sRRVHyp55mZn0cQ4r= mLh5e2NSzsbTYxrs6pYt2bfXmubdFVFyepEz2zHMR39vZCjrZ//ALveh5ek6VXpuqadXjaFZzcD= Dru8Yd3IuZFuu3x1uvXMTant5iY5757H5moXNK0W7i6RG2cbUPCY1m5cyrly5F6/NyiKubU01RT= TETV1Y7J/Z7fOg/A1XSbun6jn4dV6xXOFX1a6puRTNfbx8mmZ5n7I5fnO77ixMa/rO9712x1rmN= MVWZrj5VEzfopn7+JmHz6jc0rRqsTSPi1j5/hcazcuZNdy7F69NyiKubUxPFMRNXEfJnu7QdVos= V141zIiq1FFuaYmJuUxVPPPdTM8zHZ2zEdjG7buWa+pdt126+Inq1RxPExzH88TEu5a1p+nadc3= Jes6faqjT9VsUWbV6KpiKObnNE8TzxPViJ7eezvfRr1yjWt5YuJRomk26LOLZyL1XhLlqmq3GNR= XPhKpqniimO7jieI75lR0S1T4S7TbieOtVFPP2vs3Bptej65naXcu03q8W/VamumniKppnjnh2j= cmHpdzRcPVcG3pVF2jUIxq503w8WqomnrcT4aP2o476eztfl9I1q7O+NfvRbrm1TqF2ma+rPViZ= qniOfT2T/Mg66cw7xqEaNo+uWNufFrHz7dUWabmTcruRfvTcppnrUTTVFMR8rsjie6OUu4Gk7ew= tduXtOx9WvYOrxh49V+qqKOrxc5mqKZjn9mOznv+xR0gdy1W5pOheJafO3MTUJycW1k3ci7cuxX= XN2mKuLXVqiKYp56sTxPbHa/I3zh42n7sz8PDsVY9i1XEUW6u+mOrE8T9YPxAAAAAAAIiapiKYm= ap7ojzg7P0Z7Xubq3RZwqomMO1/hcqvjuoif2ftqns/p8zaaxat2LVFq1RTRbopimimmOIpiO6I= h1Dom2rG19sW7d+iIz8ri7lT54njso/3Y/pmXcmQAAAAAAAAAAAAAAAAAAAAAAAAJEq5nsBhM8z= yizCAnHApwCBMAJMIyAYizCAgpwCJwoDFxX6urTxHfLmmYiOZfLXM1VTIsOLhJhnwgrCYSYZzCc= A42Vqjr1xHm86zD6LNHVo+ue2RJZ+bgAQAFSYRkTAMeEZIIgvCA1CAaAAAAAAH06ZnZemahY1DB= vTZybFcV264iJ4n7J7J+9z2Na1Wzb1C3azblNOpRxlxxE+Fjnrdv3893pmPPL88B9mJqediadma= fj5E28bNiiMi31Ynr9Weae3jmOJ57jN1PPzcHCwsrIm5j4VNVGPRMRHUiqeZjsjme30vjAfoX9b= 1a9Vp1VzNuVTptNNOHzEf4KInrRx6e30+iI7ohlk65q2RVqU3s2uqNTqivMjiIi7MVdaOeI7OJ9= HH8z80B+zjbp3Bj4EYVnUq6bVNE26Jmimblumf82muY61Mds9kTD469W1KqcGrxuumrAo6mLVRx= TVajrTV2THE99Uzz39r4gH6usbh1nVrMWc7M69qKuvNFFui3FVX+lVFMR1qvrnmXDTrGpU6zb1i= nJ4zrc0zRd6lPZNMRTT2ccd0R5nwAP09H1/V9Js12MHL6lmuetVauW6blHW7ut1a4mIn64jlx5W= sanlWsi1k5ly9Tk36ci9NfE1V3KYmIq63fHEVT2cvgAfuZO7dw5Niuxe1GaqLlubd3i1RE3aZiY= nrzFPNc8T31czHmYYO6NfwsGjDxtRqptW4mLczbpqrtR6KK5iaqP92YfjAPvv6zqd+5n3LuT1q9= Q48amaKf8ACcVRVHm7O2Ins4dq0TOro0nEt0b6x8TGooiK7d7EqnJx/wDSptVRRVMR38cVU/ZHa= 6MA/Y1/XcjUNQ1auxVVbxNQy/GJtVUxM9k1dTme/mIqnuSNya3FWDXTm9W5gUdTHri3RFVNPHV6= s1cc1Rx2cVcxx2PyAH6up7h1jUrUWszLiu1Tcpu026bVFFFFVPPE000xER+1PZHf5+XHn65q2db= y7eVmVXKMzJjKv09WmIruxEx1uIjs757uIfnAP2sPde4cTDpxMfUq6bdFPUt1TbpquW6fRRXMda= mPqiYfmxnZcadc0+Lv/drl2m9XRxHbXETETz391U9j5wHd9v51y3o+Nas73xcKxRH+Es5OJVVex= 557fAzFFX2xxVT2+h1zdmpWtY3JnalYpuU2b92arcXP2urxERz9fEdr8sAAAAAAAel9A2051fXp= 1vMtz4np9UTb5jsuXu+I/wB3v+3h5/o+n5WrapjabhW5uZGRciiiIj0+efqjvmfREtr9paJjbd0= HE0nEj5Fijiqvjia6v86qftlJH60RxACAAAAAAAAAAAAAAAAAAAAAAAABLGFn0AITCgjCYRmkwK= xOFnsQEFJgESYUBOEZJwCJwqVTERMyDhvzPHVj73C5J5meZ70mIkWGEpMMpiUFY8Jwz4SY8wFmj= rV8z3Q+hLdPVpiPP52QyicLMAMRknAIAAnCgqIyOAa3+TPfHqK5+db948me+PUVz8637zaAXKNX= /Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/ACZ749RXPzr= fvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufn= W/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav8Ak= z3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8me+PUVz8637x5M98eorn51v3m0AZGr/kz3x6iufnW/eP= Jnvj1Fc/Ot+82gDI1f8AJnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrf= vNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj= 1Fc/Ot+8eTPfHqK5+db95tAGRq/wCTPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz= 3x6iufnW/ebQBkav+TPfHqK5+db948me9/UVz8637zaAMjyroT2Hl6FdydY1zGiznTzax7c1RVN= FP8AnVdnZzPd9kT6XqpxHogQAAAAAAAAAAAAAAAAAAAAAAAAAAEmFBEADIAGE4SYZAZYIzmEmBW= KcMkBBU4AcN6fldWO5yV1cRy4e8GKTDLhBWKTHLNOAYcSzs08zz6CI5nhzU08RxAJwKCMTheAGI= pwDHhJZAMRZhAAAfoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAgpwJ7oEwAAAnDGYZgMEZTDC52QK4655q+qGEwzlAYDKYSYBjMehGREczwC2qe3n= j7HIccAInDIBiLwnAJwjIBicLwgIKkwCcHCgPuAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOAEwkwKSCAgo4qp608s657OHHwJhJSWRwKx4Rlwn= AMeGVuniOfSRHayAOABBU4AABJhGQDEXhASUZJMAnBwqA+0AAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJ445VjX2iYYTzyjJOBWPBwoDEmF= 4POBTCgCcIyAYi8IAnCgIKnACKAnCMkQQ4ZU0zVVEQ5vB0ehRmAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABMseFnvBGMwkwzSYDLBJhnMJw= KxWIAE4FAQJAE4UBOEZJwCC8IBwigIkspgopmqrjzA5LNPEcz3y5OfqAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJVJAAAAEwJMKAxmE4Zp= wKwFmAEOABOOBTgEAASYUBiMkmARzW6eI+1x245q+qHNAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgnHCn3ggqcCgAAAgnCgMOEZpMCs= RZhACYAEFSYABlbjmeQZ0xxCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJg4SVAQAXIAGAATCJMMgMsOEZ8JMCsRZQDjlyUxxHEJ= RHnZAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAACJMCgIHCCqAAAInCcdrIgFAFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAO04ARBUDIAKR2qQAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAHHaAmAAUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAmU5fkbu3Hpe19LjU9YvV2cTwlNublNE19WZ7uYjt4YbZ3PoW5sa5f0LU7ObTa4= i5FHMVUc88cxMRMd09/oa5dfp9WPZiblMVenPu/a5OWq1vpe3roOu5+PGfb1DGt5VyKbWXR1uIi= ueyKo4q7vrbI7M1ivX9radrNePGPVmY9N2bcVdaKZnzc+d6dVobumiKqu0vNptbb1EzTT3h+z5u= SJ5dO6Yd31bI2Hm63Zooryommzi0V/szdqniOfTERzPHn4eDbL0bpw6QdMr3HibvvYWLeuTFqq/= m3LNN3iZiZoot0zEUxMTHdH1PI9jarkeG5WD0j7J6MLtOq9IGlYesXdXpqt6hm3671qLE2uPBc3= LVUxVNVMzx1fv8z07B3Fp+kbJ0nVNzbg06nwuHZm7m1XIotZFybcTNVHMRzFU8zEREdnmgHZB1X= TekXY+pVZFOBuXAyJxsevJvRRXM9S1RHNVc9ndEPmp6VejqqqKY3fpfMzx23Jj/kDuY+LK1fS8X= Sf5WydRxLWn+Di541Xdpi11Z7qutzxxPMPwNN6SNi6nqFjTsDc+n5GXfri3atUVzM11T3RHYDtg= 8p6LN1alas7l1DeG/ND1jBwq7c0V4nERiUzVXExc4tUds/Jj/O7pdlsdKXR5evUWqN36V1q54jr= XurH889kA7iJTVTXTFVMxVTMcxMd0qAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADy/wCE5+7G5/F2v+bqXwR+7c3/AA3/ALrtvw= nP3Y3P4u1/XLqXwRv2dzf8L/7r7Vr7sq+v+HxLv3jT9Hie5P8AKHUv4u7/AG5be9EP7sdv/wADR= /U1C3J/lFqX8Xd/ty296If3Zbf/AIGj+p6uNfYW/wB/Dz8H+3ufv5dD+GBjX7/Rfi3bVM1UY+qW= rl3jzUzbuUxP4qoj73Yvg46jg53RFotvEv267mLbqs37dNUTVbriursqjzc9/wBku5bm0TT9x6F= l6LqtiL2Hl25ouU88THniYnzTE8TE+mHgWb8GOvxu7Vp28PB48zzRTew5muI9EzFcRP28R9kPzb= 9G7V8MCf8Awtxv9q2v7u68d6UMvJzNf2Fpl/TsnVMTH29p82sC1VVE5M1URNUR1YmeZ4insjn5L= 1ijoLyqejC9s6rc1mq7c1enUIyZxZ4iItdTqdXrffzz9z9je3Q1i7k0Lb1q1rN7Tta0TBs4lrOt= W+YrptxHHNPWiY7YmYmKuznzivP9sY2NOi7xrp6KMzaVdvbGfNObeuZExXPUiPB/4SIjmYmZ9Py= X42wdibY1b4PmvbozdPmvV8SMmbORF2uJp6lFM09kTxPb9T1HQeineGLa1bH1jpFzNWxtQ0vJwa= bN6m5VTRVdo6sXOJrmJ47X6u0+jK/oXRJquxatYt37mfF+IyosTTFHhKYj9nrdvHHpEa769m5eR= 0NbD0i7l3KMK/qGb4Tmrsjq3KIp/m8JXx9rZTbnQ/sHRM7C1LT9GqpzMOqm5avVZFyqrrR3VTHW= 45+516joP0/J6LsTZ+p6rNzKwsi7kY2fZs9WaJrntiaJmeae7mOY7o7YfPszoh3hoGv6Zm3ekjP= zMDCvUVThzF2mi5RT/mcTcmIjj6uAeadE2p6JpG0OkrL3Fg1ahp/hseivFprmnw1U3LvVp5ieYj= rcdvoj7nXN3VafnbOu52n9EWZodiuKLlrVqb+RctUUzVEd9VPVmKu7v75h7hoHQZbxNu7o0XUtc= 8Yt65ctXbdyzj9SrHrt1VVUzxNU9btqj0d0+l+Fe6BN23dH/kW50l5NemRTFEYlVi5NrqxMTEdX= wnHETEcfYD0noAy8jN6H9u5GVdqu3IxqrfWq7+rRcqopj7qaYj7ne3XOjPbde0Nkadty5l05dWF= TXTN6mjqRX1q6qu7meP2uHYwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAeX/Cc/djc/i7X9cupfBH/AGdzf8L/AO67b8Jz92Nz+= Ltf1y6l8Ef9nc3/AA3/ALr7Vr7sq+v+HxL33lT9Hie5P8otS/i7v9uW3vRD+7Hb/wDA0f1NQtyf= 5Q6l/F3f7ctvOiGf/DHb38DR/U9XGvsLf7+Hn4P9vc/fy7NnV1W8DIuUTxVTaqmJ9ExDVLYm6On= Pe3js7d12rIjCqoi914x7fV6/W6v7VMc/sy2r1P8AxZlf6mv+zLX34Fn/AJW7P9Zi/wBV5+bfo4= fNsTpR37t3pKs7Q6RqvC05N2ixVNy3RFdmqv8AYrpqojiqiZmOe/7uJeoba1nduT0raxpeoZej1= 6FZornFtWL9qrJpmJp469EVdaI7Z74jzPFfhN128zp10jGwZivJoxsWzXFM9sXJvVzEfbxVT/PD= 7sXUcnSOnLpL1PDq6uTi6TmXbVXHPFcRb4nj6pBsVnbk2/p+TVjZ+u6Xi3qe+3ey6KKo+2Jnl1r= pG3RmfE69n7G1nQr+ZayLdFV29mWvA0xPPMTVNUUxPojl4r0KdFW3977JzN0biy9QyM25lXojwd= +Kf2YieapmJmapmZnnn0OmaHER8H/c9Md0a3iR/wCmoHs/TdvzXdv9F+3snA17Dxdx5FePVmU4t= dq51qarNc11Ux2xNE1xHFUdnd2vS9qbq0jM2liajka7p1ybWJYqzbvjNHFquumP25ieKZmrmO3j= ta9dN+29Lt9C+yN1027n8qXMPAwaq+vPV8F4tXXx1e7nmO93bL2z0d7G6FcnM1TEzq8PW8bCqy7= Nq/M3L92ni5RTRM9lPbNUz9UT9gPXMfde2Mm/RYxtxaReu1zxTRRmW6qqp9ERE9rzLpX3duLSOm= nZ+habqdzH03Pmz4zYiimYuda9NM8zMcx2dnZLwLeU7Mu7fjJ27s3cek3+vTVby8nIm5Zqp9Hd5= +Y4mJ9DvWtZuVqO/uh/Nzb1V/Iu4GFNy5VPNVc+GmOZnzzPpBtTAQAAAAAAAD8PfG4MbbW28rVL= /wAqqinq2aP9O5P7Mf8AOfqiXgHlU33zP/xqI+rxWz7gNmxrJ5VN9+u49ks+4eVTffruPZLPuLg= bNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7J= Z9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWf= cMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffru= PZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2= Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb7= 9dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/X= ceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeV= TffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3= 367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjW= Tyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8= qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZ= sayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLP= uHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7h= gbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNgIAAAAPL/hO= fuxufxdr+uXSfgp52FiVbioyszHsVXZxvBxduxTNXHheeOe/vh7zq+mafq2L4pqeFj5mP1oqm3e= oiqnmO6eJfkVbE2ZMdu19In/AISj9Hvt6ymnTTYmO85y+dd0lVWpi9E9vhrruLok31d1LNzsTSr= WXYu37lymbWVb5mmapmOyZh6F0e9It3auiYW3t57c1TR7WHbps282rHrm3VEeers7Pu5ek2NlbY= xuZw9IsYcz3zi1VWZ/nomJc8bdtW4mnG1LU7duqOKrdzInIoqj0cXet2fZw6XuIc+iKLsZiP0Ys= 6CbNc125xMvtsZeJrGj13tOy7GTZv2qot3bdcVUzzHHfDWvTPg/9JGmzd/k3dmmYXhJia/F8zIt= 9bjnjnq0RzxzP873jE2dj6ZkXM3Rb9Om5NUzM02LfVsXezs8Ja56sz/81PVn63Z8abk2om7TTTc= 4+VFM8xz9T51WM+z6VE1Y93h3RZ0E39A3RZ3LurWLWpZuPc8LZs2Yqqo8J5q6q6+2qY74jiO2In= me5+3onRdnWeljc259Uv4ORpGtY17H8Woqr8L1bnU5ir5MRHZTPdPnetJMcstNVq9nZ+1bmda2X= 0y6BjaZc5uV2bupRbrniJ7Jpp60TPHZzHHPofN0PbM1Pe/Q9uLR9Ov41i7d1excpu5E1RRPUo5q= j5MTPPyo8z2SvoG6Na7lVyrRsiaqp5n/AL7e7/xO97b0DSNt6Ta0nRMG1hYdrnq26OZ5nzzMz2z= P1zMyK6HvXozydzdD2jbNuZ9jH1DS7ONNF6Imq1VdtWptzE9kT1Ziqrt457ux1ux0R7y1Xo+z9r= 7t3VjZUW6sevSK7XWuU4824rpmmrmmmZiYqpjvmY4+rt7rujU83P3nZ0rCuX7GNptrwmfNNVdEV= TdpmLcxNMTz1erNXFUxEzMejs65rd/eutZ1i9GHrODHgZt0049FVvwXhOrz1p5+XVT16O2eI5t3= PNPLtRYmr5eeq/jtDquq9EfTBqm3adu5+9tIyNLt00UU49ddziIo46kcxa57OI879+50Sa/Xruw= s/wAf0zwe3MbHs5Udevm5Nu5NUzR8ntjifPw7Bcyt5YOhYFjBwL1zxm1NNyK4u1XLHWimmOZqma= oqpmvv7qot1TERzD6NG1HdOu61gWNS0vK0/CouU5VdUW6rfbFuKvBVVTPyoiq5THPEczbq7OJ7H= JnGcrzo7YeiUqlKuLsAAAAJVPCuidM27I25tmbGLd6uo5vNux1Z4qt0/wCdX90dkfXMegHlXTdu= yNwbknT8S51sDT5mimY7q7ndVV/RxH2c+d5+faKACgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADdABkAAAADgAODgAOCIiO4AAAAAfLXp2Bczac65hY= 9WVTTFNN6bUTXERPPEVd/D6erT6FBMJ1Y9BFMQoKAAAAATPAOLMyLGLi3cnIuU27Vqia66qp7Ka= YjmZaqdIG5L26dzZGp1zVFjnqY1uf8AMtx3R9s98/XL0/4Qe6/A41G18K5/hL0RczJj/No76aPv= 75+qI9LxBYABQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAABugAyAAAAAAAAAAAAAAAAAAAAAADG5+yANXemD94+sf62n+xS6mCgAoAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//9k=3D" width=3D"= 793" height=3D"1121" alt=3D"" style=3D"margin-left:-1pt; position:absolute"= /><img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBD= AAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQE= BAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAAbAE0DASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAA= AAAAAAABwUGCAkKAgT/xAApEAABBAMAAQQCAgIDAAAAAAAFAwQGBwECCAkREhMUABUKFiEiGCUy= /8QAFwEAAwEAAAAAAAAAAAAAAAAAAAECA//EACkRAQACAAYBAwMFAQAAAAAAAAECEQASITFBUQN= xkfATImEygaHB8dH/2gAMAwEAAhEDEQA/ALAbx6gFUHCruua3rKsFMMDvK/BjZu2mcwdmDZDW+L= BBRGGRYS3M6bOyDrRuPBR8MxTTQatUEUk9Go5nvujzW3N/m+6DizK0o6FqbmeLnGqRiK1tedm26= ftJ0HdJ4cMNZg3jZduPhxR033S3cDFMvXg7ffZF4gi4TUQ1DjUFHp95X/HtX1jtGj+vMdg+QCyR= AYpjTcPIbgrE/dUprRB6grn4FnkcMMk5QE13122/asENE9d9lM6ZcD3yLdzI0R2hNAl83CT7Urt= /ZDeV8go8yOCkS5trYN0fXsL2s8JJW8FS+6+iVIF5XN443LyCQNp+mOeGmjF21EKI75QhG5S1Va= 1V6/c29TGEPGOaaqynLmVVZ0n5DeivTHcTv/oqsb6R5H7biswo6/zAR/JqzMArSmcgqO9I6I2/7= l9WUpWKtt1ioVPbRcvGSCSRhmh7190fj11yoSWJnproe4bApHmWTvI8ypSLBZX0HfVjy+ekINWm= ZQyfFYrBQQNjJWDmY2KcCMFpAuLw/Yj4+Eci3pV3osWHN1mF5GZrA7Y8aNMXvGulpv1VN6i8idF= o863tPapzVUrLE5OeZx2YQmOqpxeHpS6OrRAhJ3hMoNE5HkHUc0YPfsPY5ndB78/T6q4QO8jXAn= QBpKuMd1OJVcHPFklXbIKIs0zJaNhVYyylxUkKbIimtiRArWwwuCjT9ym5PBZfs5EJqrNXSP4EI= xnu/cLlWyzLw+51V+k/SieWm0lBlWaVWINFrrduv8XgftJJ1jV1HVv1jM7KK3NyzOZElFJjJGid= g1PbVEE3koViI0xY0FdziRMlYo8K/RWXfJP2bwWFLhzLhtuye/Lp4Zl0nI5b0Xjk+sOi67qGaBq= 2dW9Zln37c8hDRWBwJogs9xkPH1pgJfTGSKjGrs45HNXrVsGjzfcyTX0bKoZ3APKsIiPEfgmeeP= SS5Jp9w972bcZUnz2SeiSk4rlmYsJhVyNlyEKIcO14pXounKlhk+SOG9m6T82a2RGLrOHCLNKQE= AhXKzqy+v8AmbsOrqIlqnW4qt57yjL+icaAa4K27X1QDKoJVgpZSOiJuEyfdyAFycQmDKMCxYWX= L6CcPXbdZv8AhljnC6qN5RDkD8/7d4bCB5IRuhtY5mmq4sdSzfbCGPuO44dSy/W4XqSOdh8fxmf= K17c9h1i9sWBz2jHO0n/q7SdyOJuZiabG63cOXIo8qTaKtSDWEGB0ty2WH7OstyXOLWuKVTKa11= T1hsYKIp6t07h6S6LuGxZ3pU9BVw51eKBnBFgOkCL+Uy6TpCyboJH2jlsjoOYOHzt1jZRk2dxFu= vPcPOXJ9wcqZ6Fqo4968aTzmioPHdI5Nv0TYcBqGVR4hUhu3x12JZZy6PxCFi/t2XGSVgJEhI6J= tI4D2cInd8M2xUBs4PXAHsnjW3Fa70U7RgNGlucZbeshMwqoLJtujGIRq7o2cT8SQFbxM0fzFhR= uItXxRFscWIk09ESe7RYU/piZxXcdO6y+9b/5gfH4zyRjdXGX25nVMtCK8Mni67MeOM9GWI3gkx= vSuevYx2vR1Rrx9XohjBGVzUzdlHxOULKIjLWVgM2O4cS2tNMprOnZVog2zqIbuSLN07+i7R10H= eLWVGpMn0u1eSo/IwY6wK9fRz9wfJyBJk2PVXHXbvIpwYdPlWrIhugi+2bNlE2m7lRd5hHDh04V= VoL6GmthjrX6E6Cv2CVXTF59F8AN/HFzHxTVNsxa47Cswkdlw6SnbqmOYcq5YgK6r9qL1RZHjCn= wiophdu9eNyWGg97dz4co+tE490FFnK/2nEbNUkBXc+u2cOFxFKxwestrnbGNs6qqN9t9c5xjOd= c49cev4yo+SKB+mWxVbb12aGnBi4wgebxxrRjNYqpplRpdxd8YfLn8j7Cddx9D8v29KRnOz6hO4= b8kfLPUcc0dfs6pt6HdDT4jGy01TWV2bLRQ5ursHkGc4SHJs1vcV1wOwuu31HVX51OrYRChQK+v= HVP7qm2g9m3Y2/ypOIJKams7OqOmjWTN9Cb5uTiTQtrjV2okRw4bMsLb6Jb7I667Zx8d28w0aZ7= f7IMEoP8AYIleqehCRBxiSy9D7D19bcudOl/hbn0kEsquFVFPjRSTS093tT000xrrgZxSFMYAJ3= AweR2dEAm+m+mREbuO2gw3Gu+ce/2MR81QbJ529c+uyaeu2fXP+fxhW2h13t3eKp3jVNNN6e3Zv= +e8XG+VDyg2VLJXAL769GQytlqaIPpVyF4+4zLh01Oa2a7HOBjG8egzwPfA9vvFxzp6lHGDVPVB= su9dNhqi7h0R11hBzj5KeufJO9sWn1Kh5OKB4dCmE7NCrXjsvPAiiT2ewyuhDFiPFi5KvkqtI5y= Fxo6UZoIMmmrt2q8SwjjXeAZfmelz5B0XOxUiaKvVdlnhMtN58RIO1tv/AEq5ePJQs4XU29Meu6= qm22fT/Ofwl0/AYzRBY6cqJEvBS0kCpRw29ESmU7KkAyRoVI27RXD0y7T02ZyAAENMXSOiTxgUF= MXzNwg5bpqajEUUFNn5898GSK5pBKXb1pxtxg82F3r0B4843AZZG6E4fizS/GDyRQzepB7/AAam= MIDNxjF9MCmG6LMkOBDZ3tKaq3YSDdkUTsOs7FD6CsJRvd85enP3ks7b8kGLCqePUFyzPUYtHBU= mMwuxGBR63PjnskGR5XUGLeakUipQQkRWPOWaOmj79KLKOGOrhyho2VhXMaSrifN4k0mYkxJW8F= j5CLRBMtNJu6wAjxWay6xiQphtvI/fo1fTmeTGUOdd9t91S8iJudt85X9NV2rawiNMF8yKqdJJA= DuXgF/+3jE6nQx/h5GTjORgXGrlCSYV1UFnB7Mk1zrtj2uW+mdsba+7XM5IXeUvv56YX0vHd5I2= c1rx/wAMSGsLvK7PHu2RUjlJ8PRGeHcif7fC6wikxHTAGIkYnSSwwgfOLR8WDKDpJHV2RtmzDyQ= quLSetUCrNg9wogi4OffK71p5AJHKqKWqrlR8xRhD+Yv4/ZwaSn2EqQHHY6CRj0aiTBnITEvlaz= 6SsyDYIEDviqQQaeON0FEwy+uY6WHG2VsRYDCbHISqYxWNkHhIMGNTeZuG7R883Wyo4331P6OHe= 6WrhdFlh6s51GtllGo/Vq23yllCqisIZSZ97J6sYk4abJiVQBJ4NlEqW1IB1iA0v9B60fmnjJ0i= gYDhzLLK7ZTdgZECy7HduRHM3KLyR00NNTDfHBczEs0Hn5pg6T7ubp3x5x+qLAZ8gcm1mn0FGjh= YUQhMLNBjaGI0WQYkYrJ13TMWSYlUGD2OSNQFsptq2ESEGq8SbPt1WrfXr/Fu67nvbvPHWd12GH= j8dkX/ACIARHZhGk3Wo3LIDUkNWar41drKrYXUySVwr/v7c4109uMemfXFvacXZ3SNbjLaMTexB= 7A44kg9nLbGsA0gNNvhYwG+IDU3kmUwOVfCw4tq+0ZfAi8+g2WcpKuEtVfzZ5/FUraF1lyF0YLh= AbIRiR6Ry/eIYJFiXzO8VjBm+FflLP36yfoiknp8aSmiX+vu9nvzttkyR3ovDIRi5gpqr5r+sf/= Z" width=3D"77" height=3D"27" alt=3D"" style=3D"margin-left:441.05pt; posit= ion:absolute" /><svg font-family=3D"Times New Roman" font-size= =3D"16" height=3D"41.33" version=3D"1.1" width=3D"209.31" xmlns=3D"http://w= ww.w3.org/2000/svg" style=3D"width:209.31px; height:41.33px; font-family:'T= imes New Roman'; font-size:16px" xmlns:xlink=3D"http://www.w3.org/1999/xlin= k"><defs /><g><g><path d=3D"M0,0 L209,0 L209,0 L209,41 L209,41 L0,41 Z" fil= l=3D"#7c7c7c" fill-rule=3D"evenodd" /></g></g></svg><a href=3D"http://www.anatomiadigital.org/" style=3D"text-decoration= :none">www.anatom= iadigital.org</a><img src=3D"data:image/jpeg;ba= se64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBA= QEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAC2= AjMDASIAAhEBAxEB/8QAHwAAAQMFAQEBAAAAAAAAAAAAAAcICQIDBQYKBAEL/8QAXBAAAQQBAwI= DAwYLBQQFBwkJAwECBAUGAAcRCBITFCEJMVEVFyJBodEWVldhcZGSk5bT1CMyUoHwJEKxwQoYU+= HiGTNDYoKU8SY2RFWDlcLD0iU0NUZHVGVmhP/EAB0BAAEFAQEBAQAAAAAAAAAAAAABAwQFBgIHC= An/xABHEQACAQIEAwQGBwcDAgQHAAABAgMEEQAFEiETMUEGUWGRFCJTcdHwBzJCUnOBoQgVI5Kx= 0vFiweEWJBclM0MYcoKipLLC/9oADAMBAAIRAxEAPwDv40a+dzfin69CuRF4VfsXRgx90ap72/H= 7F+7R3t+P2L92jBirRqnvb8fsX7tHe34/Yv3aMGKtGqe9vx+xfu0d7fj9i/dowYq0ap72/H7F+7= R3t+P2L92jBirRqnvb8fsX7tHe34/Yv3aMGKtGqe9vx+xfu0d7fj9i/dowYq0ap72/H7F+7R3t+= P2L92jBirRqnvb8fsX7tHe34/Yv3aMGKtGqe9vx+xfu0d7fj9i/dowYq0ap72/H7F+7R3t+P2L9= 2jBirRqnvb8fsX7tHe34/Yv3aMGKtGqe9vx+xfu0d7fj9i/dowYq0ap72/H7F+7R3t+P2L92jBi= rRqnvb8fsX7tHe34/Yv3aMGKtJ5urkM/Edt9wcsqkjraYxhGV5DWtljeaK6fS0M6yhtkhYQTygd= IjDaYbCicQauYhGKqPRQe9vx+xfu1i7auhXMGdVWUUE+ttIUmvsIUobSxpcKYF8aVFkheisKCSA= hAmG5O143K13KKqaBa6kgMoZSyn7Sg+svL7QuOmx59DywJUhTpJBAb7pItfvuOlgTe2GLE6x7Gr= QwrbbNTRHWlhh9LcRMuijdfZnV1eKTyAlVhqRB43QTH5O1jLc9nZEheQkqevcF0cxcTUdZGVxb+= ViNxtPY5BfQ8juwXLcPlWlpW49RRrwNHXrHtYGNWEK5kqdJUg8mzLiYUisYr2Clu8o14kvaXbeb= EJCl4RjUmIYtmcsY9REMAp7mAGptiPE8bmOfYVsYEOU5UVSxwjG5VaxOMEHYHZyOGoDH2zwwYqG= TKl1TG0MHiBKnHFKmmAij58STKEKUdXq7xZQmSXcnahNXIq8iCupyuQswXnM9gwNww/jLpF7eoo= 57l1UaTSmlzf1CK9bqRzjQ3uFBBBia4vc6mJKkEAG4IbZL624oaDJbsGARPGxXJ7TEptdOzuKOV= OsaGNLm3JKaNUY7fWlrDHDAEkCTGqVHJIU7JzqsUCWcdm16yJcrFEzWnw6PW4o+yiQ41lOyaslZ= HMKAMKZcxmYSUEGYgRx5jRxLCLYzXue1XyYEQbxOe56x2G2ctwhjWe2uHTAgGMQmHoYD0YMKSWj= YnIk7mo2ZLa5Hd3iJIMj+/xXot8WyG0gJvnw7d4gOcoYcd0llBAabwYCDbEGjkFyiAaIbGq1Guc= wbGvVzWtRAVWRCzDLKjUXUlTUFl0AICljKLlnDHUbqLlSjbEdGmzZiR6bCFKMLrEVa51BGuY2Hq= Ai4sNVgwK4bVI6w78Uuupo20MeXkFzWJkVVDbuJDZWkxp9RZ24pk+2Hi5/IWzh1MqOSlHCmNGZ8= dyWJAEeYXigdcBLw9w/HNlc4u6itgT0jWkZLJBysgrayLYSKo5ExklUKC58gsWPOgXFxbySgRI+= NFfJjDK6uq2c2to3vfUYFi1c80mVMI+HSwgPdJmxnwpJFcwSL3FiELGc1qozwSPY1rWuVF8ZNi9= oTypU4m2+HElTqr5ElnJQVz3yKvy8eIkQncDhzEjRIoO9U8Xwo0cav7QCRqCqyPcNlktwtg/pDh= TJqNzo4+yhQoADXDBjuCFVTT5sCo9NjsCuocJNwoFrNwQQSwJJtawUbbsb+ze5wd2cFr8xZWCqi= yplvXTKwU81j5CfTWcmslxiGk1tLYCK0sZXFiWlPVWsRzvL2FdElDKFquM/up9X5v89axiuJ45h= lPHo8Xp4FDTRnSHgrq2KKLFGWUYkmSZBiRvcaTIKSQcr0cQxnvKV7nuc5dn72/H7F+7VVKY2mkM= KNHCWJjRiWKqfqrqJJOkC1ySTe9++zgEqxIs7rJKFAkdQFDMOZsORI8rchfFWjVPe34/Yv3aO9v= x+xfu1xh7FWjVPe34/Yv3aO9vx+xfu0YMVaNU97fj9i/do72/H7F+7RgxVo1T3t+P2L92jvb8fs= X7tGDFWjVPe34/Yv3aO9vx+xfu0YMVaNU97fj9i/do72/H7F+7RgxVo1T3t+P2L92jvb8fsX7tG= DFWjVPe34/Yv3aO9vx+xfu0YMVaNU97fj9i/do72/H7F+7RgxVo1T3t+P2L92jvb8fsX7tGDFWj= VPe34/Yv3aO9vx+xfu0YMVaNU97fj9i/do72/H7F+7RgxVo1T3t+P2L92jvb8fsX7tGDFWjVPe3= 4/Yv3aO9vx+xfu0YMVaNU97fj9i/do72/H7F+7RgxVo1T3t+P2L92jRgwls3O7yHOlxB7d5ZPFG= OQA58QUFY8lGOVqHAr5LXqEiIjmK5rXKi/SRPdqwu4l9+THNV/+ygf1Wlb18VUROV9ETXV4+sKe= bj8/rfPnhnhy3vx292hO8eA6C35++6SfOJffkvzb91Xf1ej5xL78l+bfuq7+r0rPiM/xJoQjFXj= lPfx+n9Gl1Rexj/mff8A+/w/U+Fk4co/98/yJ0t8D5nCTfOJffkvzb91Xf1ej5xL78l+bfuq7+r= 0rmhVRPVdLqi9hH5yf3/Nz4WOHL7dun2E8PgfM4SP5xL78l+bfuq7+r0fOJffkvzb91Xf1elZ8R= n+JP8AX/w0IRiqiI5FVfd+fRqi9hH5yf3/ADc+FgRy+3J5fYT/AE/1t+vmk3ziX35L82/dV39Xo= +cS+/Jfm37qu/q9K2qo1OVXhNU+Iz/EmjVF7CPzk/v+bnwscOX27dPsJ4fA+Zwk3ziX35L82/dV= 39Xo+cS+/Jfm37qu/q9Kz4jOOe5OPj9Xw/4qmhSjT3vTRqi9hGfzk35f6/m/uscOX27dPsJ4fA+= Zwk3ziX35L82/dV39Xo+cS+/Jfm37qu/q9KyhGL6o5FT3cp8fhr6rmp9afrTnSaovYR/zP4f6/m= /uscOX27dPsJ4fA+ZwkvziX35L82/dV39Xo+cS+/Jfm37qu/q9K0j2qnPKfoVfX9WhHNVeEX1+H= rpdUXsI/OT+/wCbnwscOX27dPsJ4fA+ZwkvziX35L82/dV39Xo+cS+/Jfm37qu/q9K2qonvXVKk= YnvcicfFdJqi9hH/ADP/AH+B/XwscOX256fYTw/rY+fmk3ziX35L82/dV39Xo+cS+/Jfm37qu/q= 9Kr5qMj0Gpw+IvuZ4je9f0N57l/Vq40jHc9qovaiKvHwX10uqPY8BLHkbyb8v9Xzf3WUxTC15mF= 7EXjUXG2+48D5nCTfOJffkvzb91Xf1ej5xL78l+bfuq7+r0rXc34+78y/dr73Jxzz6J+nRqi9hH= 5yf3/Nz4WThy+3PT7CeH9bHz80k+cS+/Jfm37qu/q9HziX35L82/dV39XpW+U4559P9Jo7k9F59= /u9F+rRqi9hH5yf3/Nz4WOHJ7c931E5i1x+h8zhJPnEvvyX5t+6rv6vR84l9+S/Nv3Vd/V6Vrua= v1/Yv3aq0aovYR+cn9/zc+Fjhy+3bp9hPD4HzOEj+cS+/Jfm37qu/q9HziX35L82/dV39XpXNGj= VF7CPzk/v+bnwscOX27dPsJ4fA+ZwkfziX35L82/dV39Xo+cS+/Jfm37qu/q9K5o0aovYR+cn9/= wA3PhY4cvt26fYTw+B8zhI/nEvvyX5t+6rv6vR84t9+TDNv3Vd/V6VtXNb71RNU+Iz15Xj9P+v+= OjVF7CPzk/v+bnwscOX256fYTw/rY+fmk3zi335MM2/dV39Xo+cS+/Jfm37qu/q9K2jkd7l5419= 0mqL2CfzSeH+vw/U+FgRy+3J5fYTw/rY+fmkfziX35L82/dV39Xo+cS+/Jfm37qu/q9K57tUeIz= /EmgNF0hjP/wBUh7v9fzf3WOHL7dun2E8PgfM4Sb5xL78l+bfuq7+r0fOJffkvzb91Xf1elbRUd= 6oqL+jX3RqiP/sxkf8AzSeHc/hv7/dY4cvt26fYTw+B8zhI/nFvvyYZt+6rv6vR84l9+S/Nv3Vd= /V6VzRpdUfsE/NpOlv8AX4fr7rHDl9u3T7CeHwPmcJH84l9+S/Nv3Vd/V6PnEvvyX5t+6rv6vSu= ap72cqncnKe9P9fo0aovYR+cn9/zc+Fjhy+3bp9hPD4HzOEl+cS+/Jfm37qu/q9HziX35L82/dV= 39XpWVKNPe9qce/ldHiM/xJpNUXsI9v9T/AN/zc+Fjhy+3P8idNPw/XzSb5xL78l+bfuq7+r0fO= Jffkvzb91Xf1elb7m8c8px8dU+Iz/EmjVF7CP8Amfw/1/N/dY4cvtz/ACJ0tf8AofM4Sb5xL78l= +bfuq7+r0fOJffkvzb91Xf1elaRzXe5UXjX1XInvXj69GqL2Ef8AM/h/r+b+6xw5fbna32E/0/D= 9fNJPnEvvyX5t+6rv6vR84l9+S/Nv3Vd/V6VlXtRFXn3fmXR4jOEXuT10a4vYx9/1n5bb/X+b+6= xw5fbt0+wnh8D5nCTfOJffkvzb91Xf1ej5xL78l+bfuq7+r0rnKcc/Vxz/AJap728c8pxo1Rexj= /mf+/rb9T4WOHL7dun2E8PgfM4SX5xL78l+bfuq7+r0fOJffkvzb91Xf1ela72qvHcnPv1Vo1Re= wj/mf+/wP6+Fjhy+3bp9hPD4HzOEj+cS+/Jfm37qu/q9HziX35L82/dV39XpXNGl1Rewj85P7/m= 58LHDl9u3T7CeHwPmcJH84l9+S/Nv3Vd/V6PnEvvyX5t+6rv6vSuaPdpNUXsI/wCZ/wC/5ufCxw= 5fbt0+wnh8D5nCR/OJffkvzb91Xf1ej5xL78l+bfuq7+r0rPiM93cnPw1jJ19R1ho0eyuKyvPNf= 4cME2dGillE5RPDjjOUbzv5VE7Ro53r7tdLoc6Up1c77LxGO3PYMTt17rnwsjB0Gp6nSLgXZY1F= zawubC5sbDrfzTn5xL78l+bfuq7+r0fOJffkvzb91Xf1elZQjF4VHIqL7lT15/RqpVRPfrnVF7G= P+Z/Aff79vz91lEcvtyeX2E8P62Pn5pJ84l9+S/Nv3Vd/V6PnEvvyX5t+6rv6vSua+KqJ79GuH2= Mf8z+H+v5v7rHDl9u3T7CeHwPmcJJ84l9+S/Nv3Vd/V6PnEvvyX5t+6rv6vStdzfj/AMdVaNUXs= I/5n8P9fzf3WOHL7dun2E8PgfM4SP5xL78l+bfuq7+r0fOJffkvzb91Xf1elc0aXVF7CPzk/v8A= m58LHDl9u3T7CeHwPmcJH84l9+S/Nv3Vd/V6oJuLkCInbthmqLz9Yq/j/PiX7vrX9Glf0aS8XsE= /JpAf/wBvm58LLw5R/wC+Ty5ovh3e4+ePKAjyBERwlY57GvVj2/TYrkRVY7hVTubz2rwqpyi8Ku= jXq0aa0jx8z8fAeWHsGqCf3Hfo1Xq0dvcEreVTuY5vKe9OU45T86c6ViQrFRcgEgcrkDYX8Ttgx= Gxv57QTDdqN0Ma2bohQ7jNcml2cCvERxDhJMqK41rOjeHFIjxOFDAV/iG+i8jVGNO7lVcBsX1Bs= 3SRa+6qw0V4hCtFGYfls1QI1x/DARfMAcNrkVUeitcnq1fRU1z7T+hHMen32hlp1OZVlIMpqG57= nmaU9dY0R/wAIJkDOMddRMqWZYSwNFWBjzlWXUx2VTHRTPKhe/lrtTJ7C2ttudndJdwcZkUtHis= iTLk3ZiNKezcWIyGKPLksjhbJlPXkp3sajURG8savrr8+cm+mPtbN9ONJkUP0hV2dVk+cfunNPo= xbspU0dLQwNmTxzTw1r0olpUyrLGE71k07xVbwPMZhHNHT4+i8y7EZND2BbMF7NU9LTpQpXU/bH= 9+RTTVMopVcQNRLNolasqv4SwRQh4FlClS0byYkhT3J+hNUF5QblT3onPp+lP9f8NJlutunR7TY= 8DILuNaWK2NxV45R0tHEHNub3ILkrx11VWgNIix3HOgjmcSTKjxgR45jGMxrF5SyL1d7IJHQWS5= auC34fLjuMQzKBNrcmoDyAOltBcQI4po4zWwBFsXS2SDQG1jHWiyvk9rpKfoPYnoTty5/P9MfOR= dRzYC/I3Hh8cJZ1gdW19022e2tHRbZZHuBJ3FJkAVmY9CPYvoPkZKrtNLiiag1HJWyXhx5McbfB= dy5UVUTYOmvdO63HyazJkOXUZrX8Hw2DsCDYwUyKgjlnRmJMtaKMcpoDO97YykKrmKQjWNcqu02= brD3Iqt6h4HiO0m/uFYrTT7jM6DMLQ0ycxZJKwVS04IZIteQ8mDCccopVhHkgqFkmjx3WLpLhC0= i3SPgHR10T5PkO6OPb0T9zdyNz6nHMUm1tE2xsgTg5Hk9OtWaorpX0WoWxPWSDHfZdrKybHneGk= SbDIbHZt9GC5l2jyPt7UfSDnyjK5mek7B0FdUU2TtIkL0y1OaU0VM0dUTrklSKaoCG8bhQVAxLX= 6SKWan/6Ey/6LJMvno4XTOfpLra2Opjzt55vTYKfK6OomSWhFHBLT0M0tHDKkzwScRkYscTZZqR= 4cQycwyvAUNBcFEcb1GQJBV0l4yjenqx43ta9rvqciLqCqF7Ti0xml2+2zkBgyCgpbhubbgWV/w= CNOdFqntrytAZGNbEyEs2whKJJDCoFrGqqlcRVbPi8TJsYgJI2EEZrxFG9vLCDeitex7V5RzXNV= WuRfRUXhUVPehOdbQbOU2J5TkEjAcNipV01ncSZy4vVy3gSvhklklrHeDiQQbI/f4bl/tXMajuV= 4XWsmVmhlVXEbNG6q7AlUJUgMwG9lO5t0GOKcE1EAEbSkzRARL9aQl1/hrsfWf6o2O55HliGPcH= 2n+QS9ope3lZilhVZLkWw+bbl4xuMuZgNNbU4RbjppR5UiNBjsTKp01PGroAlVJA2OCqOI/uRWI= 3XRvHnNdsNb41Xi2zptx8Hr7amn5oein1V9dAxmDlwq/LiMIW0xxt9WhtKyFI8aAabYwZbQNQii= YrW+lvfmb1gbhbhYRRY9Q4zcYfU5DfbYR7bAcPnQcso6tJoUhsBCVgahTz5EU5odgE0chDNO5zy= Ne1qPdS1L1kTuoraHbLGNuL3IqCmxrCbDOseh4jHxrC9wrEeX0sy8xAljAjRaKQOhqcjcOZYxlF= GjhSQN6eXGUeqn94xRZfDPHqq1LRUxamVtTTraOR9J9ZVVkJY/wCxGPU8s+jHP07cVHZrPTlvZa= tpcrnz6cdopqRqJcv4SVUMXF1mmeepWVIIl1fw5i3EMZik0dQe2uWrnm3+HZm6Eevfk2O1N0SFI= AWKaKSxhBkvA+MdzjB8N5HIjCqpEaiI5VX1XH2O62FVeWiwqRaGNkTyQgnhwa2zsBVxLJeK4drM= hRDwqsk1FR4GzjBeolaZUaF7CLteNRvKY/TRg1bKYIKuCFlO1Rr8mNFHGxte1QueFUiIiARRPcP= 6H0XObwum0bgdPGS5RkGWGoc3djmPZ5kFPk+RoCHNbktbc1VLCx50jHLqFZRBBDMqa6GNYllFsI= 8WU0kuMMZCu1qMqp6CeSSPM6pqVRTXjlVXKtNqiBDaUkYhYzI4j0gyuoUOl9/G81lqYpNWXUysj= 1jhoyRI0NMWbSFYSKjkHQrOWbSupgGANnXCkx3+rTDXtf2ORCNVUJ7+xURfouT3q1fpfm51jJOU= UkC3raWVYxg2Ns2Y6BGe/l5kgR1ky+FRO1vghTxH+I5v0fdyvppi2DdP+4GDzL+DJm3FwCxlQog= LCGIIIZkAyapMvltmZGWSTKpa2SJYThgDHI+vEoqxv0Vcj7+jTdjP7rKS3GRHwWNCkygU9iqlnT= Mv8xLsXmmXiwrtxHikxJAAyTBdVSDDYwbI4VF4js/lrZzUR9pJK7LI8tXKosvlyXXmVHUt2h9IY= CrSGOKQvRtSArqWVSzXJCqqk4s80TL6bOMly3LszGYUNdXQwZlmooKqOHKqX+CZ6poWGucRq8pQ= I41GPYnUAJZ3ka8bVa5H9yc8tVOFReFRUX0RUVP8tMx6t9yd5sbxsOKbC4wTI9wLsBTFlCNCV+P= VDU8N1gyLJkBUsgpv7MD0R7BdrnuRF7eHM4FjUnEMQxzGZElZxqOpi1xZiOlOSQ8DO1xGrNkS5S= tVV4b48o5O1OHEcumjdQ5cfwbdPFtzc0zC1xKhFUHq4Uipr500ki0H4ypGkujCeMcbwytO4ZuPH= 7OxvojufOvpeznPMo7Iwy5RTzI2Y5zk+U5zX0uY02WVGQ5FmFSIc1zmOuq45IIny+BiwZo2vrAS= zlHXSdlKvIMoz9s0zp8tq8uyWKtrqeDN6aolyzNKmkVjQ0tZT08kU3BqpdGqPjaBsJS8WpWZJO9= mfmOd9UG3HUfa9Sm6FLiSUNbku4G1MfMLAfnNwYIYxWxq6SCb5WHjUyT4hrOvYF68jUACtAZzUe= R0o7w70Duz7V9RVSOnyKwZaz9t7ibOrG2GX09UVxZ8dIMaYWRLLXQSxpazxh8F0ZXeK9CdiLp9V= 06bgSi1VhWdULo822x49vUwn4pRulS48mhl1zrd9VYmPIlRaudbRbgPIlb8oxobLQktr3DIgG1+= 31HvR7QHAOojbndi9zKv252/tcc3Bxq2qLasqsdsWY0fGIRcQYcXkIdbe2JjzZlKhVIEwzyQkKN= z2i927JZPBnGW10lTmE0eXZN2enq0zMUstatVWxUn/llLU1MI0U7ZpMihKiQiNmJAGpkGM79Jv7= QOc1NH2Y7NZlQdme0mY5vmeSdluztPJJQ5VmWQZHS18lXmldky0vAmzSTL6OuvXx1K1E8tHHSvI= 3DhQiUvfzdpdktrci3H+Sx3CUa1jVhGkeVCRLGziV/iFP2u8McfzPjP9OVaNycouozW+1Qz42Ky= NyInTDlUzaSMZzCbix7GudALDY8oyXsOiWwTIpmOtUJSNtQ1y+NHG+XGjniIkhV09rVmtrtv7Pz= qHzqow2/3AsMXxivuBYdi8WXLv73yl7WvLDq48GHPkkkuF3uYgoZl5b6sVPVOTvDOt7bDH+m6Dl= MfYXqCTeCqxgNLC89jW5hKBBDw6NhzHWG3RNvy2b7plPChsJWQZzqIlwCRYQ7qujWEmLrPi9hvb= kOW9ha3O/Ty/LEEjm3eNgN/WuN+Xhbbn346O5HtdJiWMONWbPRLepmx7uXFs42VRWSbSDjMeFLy= Wzx+lIvn72rx+NYQz206M4Y4zC8jQ/Y9EwtR7ZSHeSbQ1XtTGl41RiDKtb5L0zCQauVaspIuRGq= jRBm/BiVbEFDj3A5JPGccBmxfLPUzeQ+m69t5IG2NNuLTdK28VVUYUHKsPqNu5dbkqbjWFffV9P= T5XIrQLtLNm0tdmcGuhumiDbhjsUUlkQgXOJ4lOUdau587a3ENx7Xov3CvsXqUh11JtDGiXz8/x= 2rFaPswUsx67Txr1tCGwAGS2KK0nJ4Qo8YzxxRsCvJ1g2uT42Hz+X58schW66jtfawBb8zz8v8A= fHX7B9sM+RbRIcvZh9dX2PgurZ8m5OM0gcmOkuISTEJCGOIKcFRsAQEywdGlS4EO0FXyZsYRZvY= 5/MRgnRFapQCNwvC9vijaRE/Pxzxr83CF1mb1hstlb+26VN08jqNxL/FMZqsaiPvrK/27i27KmF= EmZfHHtfBsWw6RZiLKFLs1WZY0IZls8xYtbM1+kRWqq1dermq1ywIqua7nuaqxxqrXcoi8ovovK= IvKe7XYvYX59b46QHmb8hsehsO7u8f+MJRM3xwqFZEqzS5ayGfIqjeKEr48kd/aXtPWHjl8RPFA= adjlqxSI1qIMQytV4itcqXUXWds3f1eN2sOfctFl+TNxDGo5awCyri+JWxbUEGGkafJjFKeJLE9= GpJ7wk7xSmR3sXWw1+zeLjucfmZLjEqzssQhOpcdvYsuT5OXSgPYnqBXNayQJh59M2zmNiSJEeS= gZB5EwBAEkva37A6fdq5T2167bwaynqTjk1nc4oSDto9ZHoGWVcOPIVIZW1EGMBZjVZKP4YCK5H= scqreIEKwfW1ytidJ06dVyLW2tbkefO1x0RISSpXSLXv08rczfri7fdUO1mNwi2NzZ2UWFHlCiS= ZDawpBgIa9LjjXlRhHOaFtmF7CFRO0Yf7Z3DeeMtjnUHhGT5hCw6qbeElWUQEmDbGrWMo5JJEAV= mKEKe2URyzHQDMkoNYyCcxV7TOVONeh3TltER2QeZxUM0eTTBzraNNlS5cUhhvKXsjxzmeKJHIc= 5ZJo8Zowlkvcd7FIvdr343sLtjiORQsooMfSDa1tbFqa9UmTCQoUSFCFXR/LQCHdEFIZBAKKslo= kO4I2scRU13/DC2AbUOVyCOY/PvthFD39ZgR4Dfp5deX+5wqssjGKivc1qJwqI5yN5X1445X1X1= 935vzrpp83q2wSBu4HaiVj+ZhEXLo23i58+nazB2Z/NqflqJifyi+S2U+aaE3w2SmQ3wfPK2D5h= DORERj2km2G9u6uA4BR7I18ufdQcqvrS1bHsZFYIcaPgWTtqiGPFs6sySW3zq1Kl6mLHDbLCNLC= +MMiJGxd7AdWz85p81nbZ7iZnnOJ39HubjOQWdlUjrzw8ZnxbeqqrF7MnbGZcvxQBcLlYz+D5mF= y2UuSuvlCzxEzmY5lWQVDQ09HM4jaFjKI3kSZJAt4kCoSGU31Wve9iU9Un3DsD9HnZLO8pjzXP+= 1uT0suZU+aU8WVvXwUVdlNVTzLT0dfVieoiSWnlID6SQyRkSrT1QDKnR+E4GN+kUbe53De57UVV= T04T19VT9evR44f8AtGfUn95Pr44/Xymub2Hsf1mY6/E8C3dwbczcYWP1W7d1j2UYDlqnisz3dD= G9v7fG5llbT76mnRPwW3Bi56/vKKTGpYNjGBCGaKgWtlEZh26lOfb9+QVl1Z5JGxvCfwvyKg8nP= DOySvqY8a9sVDYC7EMazGcyhF2gUSBc3hSEasmkzKWoB4lDPT6QgZZAwZW0jWLFALI+pV3s6rru= oKg0faX6O8uyBqdabtpkWdic1WiXLZYZYJIYGbgVEbrWSylZ4gjyJLDHLDJIsSpMQ7I/Cys41bB= lT5JwgjRAkOYxiNYJgxtVzle5yojUVE4TlfeqJ9emi33UBMFZAe+0pMaiS3OHAhkcC2l2MQo3kF= ZCR7YzwyGcMYkN3IGq9VOT0RVXo+P20zC7Wtn2su5lWkJ6iJbRIUM0dpRjckd4q6OITSCVHK1yt= K5huPVzWpqKHcTYjK7TccmTVeS5bGFMhpWSotFfgrrEMgzjJGSbNJWTY005Wtcr4o4secZ4+5q9= ycLrslpKaqSreUK00aaoYGaKPin1Do4st4UIBZtTgrdeGLMwOPMxHEaoQSVSwwXYPVCGWVVstwR= EAkrBmstrAgm5AAtiUjbbciRkz0qLcEaPbR4MaV5yKVfI2yFRfGWGwrRkQgFRrpAWeMwSEZwVWq= iaWdHov+a+n5/hqMef1FbbdOx9ty7rPsq2uHR3MVmUgZY5EMJI0WuZJZZVsCAOyFYSSo1rDCr5D= nJz5hA9yPXNJ7Uro6PkePY3V7h21sbIn9gLODg+ZpTwnqJ7xCnzJdJGUJDGYkVqMCRGGKPxHMGr= iNbqstnE5NNTStEy3uiM6AhypsU1KLgagDYjfbniinz3J6SZ6aqzSihnjdVaKaeOKQB7FDokKsQ= QRuARc2viR5XsReFciKmjvb8f+P3ajeD7UnpARyss89saYzaQNs8EzEcrkGSer7Js3Gmjr6iWpb= 2tZXePJGNXQiimRUiTJBHEYzNj9pX0mSLSvgxNwTyqmzSWAGTRcZySRWtuor6pPwedCDVPvvlOS= y0GQC/JCRHuCcCyUOzwljGgrxzo5xsTfhyW2t/o8f692Gh2m7PnT/51llywW3pcNyxIAAGu/Pa/= IbXxIN3NX6/+X/HSN717v4zsdt9kO4OTm4h00KQeNDa5GnsprBqsaBHRV9SSDeGLn17Uf3cKica= SzazrX6c95MuiYDt/nzrXLpwbKRGopOL5dTzHx6pS+cO91xRwowRtaFxGeMdhCDc1Wj7nNbpqft= eKzIBdMAs6q402ZR4Dldda50KCKRIJCw+YiRbK+fEjo40iPRGZGmS2jY97InjlQbuxUWurxUwU1= QUjZKhYXaJHFm1Bdtjz3tbYd+L3J6nL8zqqXh1UE9G9THFNPBKksaAyKsisyEhWCk9duowsG3dV= 1H7q0cLcXKc3Fhsi9EO3psQgvkRaqor5bUPXw5I4pBHnykA8fmZUsrvEIrvCYxqcaXXbzc+3ddz= dutxY0OszKrJFbDlxDPNWZLBlilGiz4BDKpPFcyDKacLnOcwo3eq8pqI3pq2i2k6i9uqvLYHU7k= lJaXra+bLow22PxoYHhcUr3Y7IKJAW9e5JCGqbOGQ0qvI1jVcE4XDTZdmcRxjbjqi296btqtz8i= 3hyKjyKTunuhcWdpFvZGAYLWVF9FjwsjsYLXArZ2Z5dewPwfopBWz1rae1mujijKNq5CCOvWqyu= ppZ6tlmmUV0U1XHPTyU8kT8QtTlNVPLHLw5I2RwbjhvqDbeg5nS5DHQ5jF+8IJ6mAIaOnhyaoo2= SQOupRWszRTRGMMj8RTxb8SMqy7y49QOa3e3my2e5njRIAb6hx6RKqpFkHzFfEnFKGICXLjq4fj= R4hJCSSCc9jCNF2PcjXKuov99YOH4zn8SPuDm91uZkVrRvv4WSS8tnwK+dentZIVxTGqrFGlrca= SqhDglhwnsiea86kt8x6gOrJH+qjGLHMenTd/GquqlXE6zwe3YKpgOVs+zZGG2bIrq9UVqrYTY8= Y0aC1rmq+WULWuZ3dyRpbn9E/Sfk5dr9wsNnxUoM8sa24tbe8zfJipeYw5sAR4uNsXJITay6CEn= hyEfGR8aW5YsoYyuMxl3mP7weWOKkjpzEYwXaapenCtq2ACxSg3XYg2I2tq5YymVtRrqeoSrmcN= ZKeloxVNMrJuxvPC44RGshSTpUkkWw+nY63yPF9zYm1rtxH7g4bYbYWedU6XEuDcZPicuBkOK1X= 4PzckgvV91CGy+loI09rpTPKiG0rhsVFeLMaUgntARBlcNfDere5Gu9Varm/WiL728pynPHrxqP= fp02P2w2m6h76u2cg2TMcw/aM+MZbIm3lheir8nyTKsfv6miSZPlTF+Ug1NTYTrGKwziQgy6x0h= EbNjK6RL/AHf/AGf+WpuXmoNODUokcmpwVjlMyAKQFKyMkZbUNz6ux2viFViETt6O8jxEKVaWIQ= udQBOqNXkClTcD1ybDfCSzc7lUkkdbfQRw55HuSKVXqOvuBN/+r5RVQY5bUTlYUlzXvVOBvdyms= 4TOsYix4EmfbAgJYgJJiClq8RiCErGmIgu1XdonKiPeqdqKqeqJxq3mlQ/LK0tECLGK0zu00+S1= CDgfUpIzfRSS0Tnwla5Gjd9Jyqqduk5yzZyXdrjK19sBiY9RzKVUtY86S6SyWsZVOr4NhXkaVvg= f3XqRio5OU9PWh7SzdpMvo563s7SQ5rVj0VIstmIS5aoiWonSXjU5CpTmRmiZ2DsFK6dw0rLY8u= nmSLMZ3pYiJS1SgLH1YmMSMulgdc2ldR3UXY3NiFnbk9I9KtG21eq3jVWnTzIubJrReO5Yicopk= QPD/oc8IqKvvTnwlzPGR2a0ZLqA2zacMR8TxU8Vkw6DeGK/hFawxWlErBOcjnIRion02IqNm2Ql= SotW0uWWMWZjtPU1lASFEjjDCJUuDKZNeMrTPUkixCwkhBEEpobBxCKrUc5b8vaK4lZa7Ix3ECK= M97U3cpI0GwHMM+vSvSQFVZZpXkdMZA8u4xoJCNjlRquc9jSJnJM9+kIRxMnY+nV2rKFXHptPIf= Q3p29PayVSCOWKqjHALmxgmjv6yyWnLQ5Dqa+buQIZytoJEHFWRDALtDZg8LMWC7q6PvYqCrcLM= can2T6mFdQ5VgI54pIwSOI5kmK5zZAHOa3saQDmPaRnfyx7VaqIvpqrcOxyqowPM7XBqyHdZnW4= xeT8Vp7EhBQbTIIlbJPU18sgVQrI8ycMEcrhqj0aRVaqLwuk2wvbS4w/I7ayHZVkusubu6tThJX= z0sRNtpp5yBDIfZPhDcExkYpGQkeQbFR3LlV2lqtbCFUVk60sTtiwK6KaXMkva9zARo7FIYz0G1= 71aMbXPd2tVUairx6a13ZuszytoZJc/wAvjy2tFVOi00RLoKdXtA4l4sgkLxgMxASzErp2u1XXx= UUMyrQ1DVMPCQmRtjxCoLqV0IVKnY31DkQxuQID+kn27+xWZdHO6u+HWDf4TsHvX035FlOF79bN= utGxMgiZRQTTR66Ph+PW8lLy4DkTWiFWKIZ0cbveQjBKiph/Z/8A/SJulzrQ3Eyra3cbE8j6Rsv= i1L8w27BvtOi4zWbnYArSmFklBa28eniI/wAoNst0TvMwscniRZBmsfwlPU17Mf2L/Vx1PQerHc= NLmyy2RNiWeWUGDGzCNge515RP8eMbLcfpKsvn7QPgjbKTsiNni8FkpTsI3uU3rl6GPZLe0dodp= q7dkNzhuQbeQoeNbf5JttVZhheTVGMKzwR4xNmVlC+AXHlFEONjpqkiQ/Am+BKC8UlWaHELDmvZ= ue0izv2he9fWHZYdgVFG6PNmM/rNs9jd4Iz7BLXdfIamOdmeWIkM9a+TRRJiRHVsuCxvDJKxzOe= YT+2YQn9x36NMi6McN6V+njbvH+k7parolDiG0tOgA0kSDaDd2ElkbLt5ltaRwEyCda2CyJMy5A= aeOXJcdyylc1WtdhmGfYTgkSHKzTK8fxWNZzG19ee/toVUKZNcxxPLx3zTBQr2CY8xezloQseYy= sExz0LFjpUFmINlUXY7HkBcnYHocGIresjeXqD3M6sNtOgbpmzgGztzke2FtvZvNvQleG0yDEtu= IF0PHKqowmFKVYaZDf3biAdOkDK2DHY0rWKjntWP/q16ed3+nbI8CBuNu/ne/kLce+xrbXa/c3c= HJiV+QYpuHkNyJIMY8SiDEiOARyIsWR5deOXDM/t45k36y+kvejLd59sesXpCzTFMT6kNsMXtsD= m0ueR5Mrb3dvbC8lMspWF5QWA5JlesOxYlpTW8FHmiSSkd2KqjIJvEDY/qu6jt8dqtzPaF5fsJt= Ztt06ZJXbiYjshtNkE+zDfZ8iHj49lec5FkhY8ocCAUZiVNWEXgSZDSK5yqJdezdiu0y9mRluYZ= Y+R+iw5TUxZvQT07yZ1PmhklcGB4o1zB+PItGkBgqY6JKcy09Wg1TLLle02Q0naCi9Brqipp0FR= FPHNTypEvqavVYyBo2HDZyVZSyuBIhDKGEye3VTdUOEYhS5JP+VL2qx2ogW9kqq7zthEgADLkqr= vpP8Qw3u73cK/nuX1Vdajuz1EbLbHPp2btbl4lgbsgKUdKHIbMcQ89Aq1JBwgRCG8pG72+amvGy= JFRyKc40XnW1Uu5GAZBNj1NDmeM3NlLjukxoNbcwJks0ZiKjjDAA7yOG1GO7nI3hvaqr6aazuL0= vS9y+qN262SBpLHb93TxfbSJXTo7J1nFvMgvJkqZZwYsuOaHHYlacTPMI5TPKNrHDVjE58yy+mo= anNKl+0UlRl9NwKyudIY0gnmnPrRUtOskTJGZJHsv8NkVVZQL2xfxMgp4kpHSdIhHAH4gkAEYVC= XdSSzAC7HmTudzhSKDrK6X8oPk0bHd9ttrkuHU03I8j8jksIwa6grmo+xuvMtekeZVwGq1Zs2CS= VGi8ohyDVeF2jcHqW2J2s+QGbjbuYDh5snECVRgu8ir4Z7CFIajhWIgvMpR1atc1X2p2DrhI5PF= lM5TUYvUZ7MCzu9tdoNstgZeP0tXtnsN1C7RSbDIGpCtr0u5+EwaXGD2cyrgok0Ma5hukWClang= sIw4Bve1Wuu4P7PHqKh7kb155Y76YvjcTcE+CU9BVSdsMH3NPCw/E9rsPxI9S6yzminyKuEbIKy= +mDqaxw4TmzPOER0mSfjX/APT30eS0610Ha2phi4NZIcurYSte0kWZQ0FLFxaWhqlieopXkzQoa= WUQwx+jGRpDxsJxqkEqYA3KzoTp+rqJs1ifujrq2NrYkW3K6uum/aOVjELcLd/DsdlZpSyMkxQT= pp7JcgoIhYseRc1bqiPYtlVgzTYg1mjcsdXSQo0jvEbyo21W822O9lCXKNqc3oM6x+PPPVSrGhm= JJZCs4wxGPXTguQcmFNEI4CviywAMgjDIjOx7XLDn08+y73VxDLqMG7u5fyli2K4J1J4LS5Fgs4= 2NZTDrNzupOh3ZwOLQihRAxsYra3EaclLOrKtwokFp/kqvY2AjeH1dF/StfdK+R9RNQ6/NkuA7i= 7lVO4OD2V3ONb5qp5WH1lJlA8rt5ARmnEbOp4fyU8hZCigr4COY0fbqJnuR9iMuoaxMp7R1Oa5r= SLDLDKsYTLcxR8zelcQRmnWeCVKMw1oSaZrrxbhbBR1FJUOyl4lSMmxU34inQGuehGq689rHa/N= +mjRo1gsSsGjRo0YMGjRo0YMGqCIqsVE/0mq19EVfhrykmRgoilMMSKqoike1iKqeqoiuVOVRPV= U0YCQNybDvOMBbYzR34mBu6iBaCb/dZPiBksavxRDMfx7vT6vgnv16q+nr6eOOLVwYsGMNU7ARA= DAJqc+vDBtY1E/Sip6enrrIfKlf/wD3kb4/+fF7k96/39C2len/ANMjL/8A9Af/ANfpqEmV0KVb= ZgmX0a17oI5axaWIVTxg7I1QE4xUdAXtc8t8dmomaEUxqJDTo2tYDM5iV9vWERYxgnc3CDn5aRu= Ztjim6+ONxnLRWCxA2Nfc102os51Lc093UlU1dcU9vWnjTq6whvc9BSIx2OUZSif3DK9qt+P0Nb= ASKqwqy1WVPJcWLrO5uXZpkz8huDysYXDrYdndks32MuNe4+8kK5jlO4c5SvORPHVCI7hLOAv/A= NLjf5HEv/4tC2denvmRk/ScSf8A49TxqHK/kfD/AIwxaI7nQb78xysOX9b/AO2GVzfZ49NE8kp8= jHsiVszI0yaQFmYZEMLpo/CUAmsHYNQceOoRoxB9hnC745TEjEeFdqhdEHT3XZbEzWFi02PdQQY= WKOo7y2SG0uAix2Pj0x0PzXgPmCi4pRxZZnMVZgYjkOj3SJDiuuHPiFVWiOIqp70GRj1T4c9rl4= 5+rn3/AFauLIEn+8ifpXj3+7Sam5Em/d5f8b/HAI05jSRseQI2I3v03H5YuMYjG9qKqpzz6/V+b= Xjs4USyr5ldOAOVCnRzQ5kYzEeKRGkieE4Ssd6OGUT3Me1UVFa5UVFTQ20r3GfGbMjOkDQavA04= lMxDd/gq8SO72+L4ZPD5b9Psf289q8ejzAV/3k9f0ev26Q25HqOR7j7+huPPDisQQyMQykEMpsV= YG4II3BBFweYIwzbp66D+mfpdzLMs82a29HjGT50Yi3NiS2trVQxynfKJAqQ2cyUGqr3He8rosA= YAqqpyio1ER3LoACyBneAbjD7/AAiqNvij70ahOx6ormd6MZ3cKiO7W93PaipkVML05X3e7lPd+= jX1phu9zk/N+f8AR8dNRQwwIIoY0jQEsEQAKGJ1FgO8k3J7z7sWWbZzm+eVj5jnOaV+aV8kcUT1= uY1c9XUtDAixQxNPM7yNHFGojRCxVVAUWx9Y1BojE5X3ryvw9fh+fn4e/VfCfBPj7vr+OqFKxF4= 5/P8A5aqR7XLwi+vw9NO3HfisAt/i2+w/U/1tirXxeE4549Pd6e7/AFxoVUT3rxrAZRcjx6itbw= 0SZODU18uwLErgtkz5LIgHneCFGc8fjyiNGrQh8RqkIrWIvK6Ljfflz8Mcu6xqzMQFVWYk7ABRc= +QxnUIxy9qORV+tPevr8U+/WjZ9gGK7kY9MxfLaoFxUTmqhI5kc14n8KjDxzMVpI8garywwnNei= 8+vCqixEbQe0Zbk3Uray591fXuzm8Z6PCNkdu6/ELBM7xrN8bKeLnsrLqsowrR10YisdKnS5x4x= VG98NHIx/M04Steo15XlWovHpx6/UvvTn19ePq9y8ahzwUWZ009LUww1lJUI0VRTzxrNDJG6lXR= 0cFWDLe4IO29t8VtBmmX5zFOKaSOoSNzFKlg6kEBkYixVo5UIkS9iUZdSgm2I0r32eEq138od94= fUNuvUWWMNhQqChiOo1r6rHYQ0B+C8bxK1wnUkqN3gmAkx5BZSFKWQUh3KVXubTbN4BszRmo8Fo= hVQZpyTrOUquNPtJ5nq4suwmFVxjkVyr2McvhiZwwTWMRGorTntGnLl4TVpJQHf3SNd7vc5q+/3= e5dO5dAmVU1TQ5e0lLSV0sU1TSRTTCCeWnVkhZ4jIUYRKxEa6SEvcb74ocn+j/sjkOaVed5dk8E= ea1lXVV0tfUTVNbUJU1yQR1stM9bNP6GapKeGOcUYgSSOONHVlRAKTxQyxKKQMZhOb2vEUbCjen= Puex6Oa5PRPRUVNeBMeo0RE+SKr0/8A8dE/layzSNf/AHV59OdV6fxs8Yb8HqP66eq/+7oaf/kr= o/B6j+qnqv8A7uhr/wDkprM6NGDGFXHaTlrkqaxrmORzXNr4jVRUXlFRUFyioqIqKnCousyicIi= fBET9WvurEiSCIIh5JWAAEbzGMVzRiEIbVeQhCOVGsYxjVc97lRrWoqqqIi6RmVQWYhVAuSTYAd= 5PQYMX9GtVg5zhtnKr4VdlFDPmW0F1nVxYltBkSLGua5WunQQiO4kuG1zXNdIA14WuRUV6KnGtm= QjV93P2ffpmGqpqkFqeeGdVOlmhkSRVaytpZkJAOllaxINmU8iMICDuCCPAg9L9PAg+44uaNJFu= hvbt5tATD2Z5kAaP8OsnhYjjiEjSpLpd1ORVGwiRQm8pDE1EdKsZXhQoiOYsg40e3nZIOe0Vnl1= 9g8KSQmRY3XVdrbRnRjsCCFctI6vKyS5iBOpUE9XjER7hon0+3lOejKgJUOlwbEG9wbXt+Y3/AC= 8lxu7mIv8An7/TnnQjUT6kX86prStus/xzc/EqvN8SmEn49dMKSulliSYJCsAYkciujSxikDVCi= e1EINqqiI5E4VFXc3FYzlXLwie9V44T3+q+vonovqunAQQGBBBAIIOxvyse49MGPvY1eeURfXn9= Hu+7/XGvqsav1fXzrw/K1asgcRJsVZRmEKKMhxKcoxK1CkGJH+I9g1c3xHNaqM7k7lTnXsQrF9U= X7U+/SkEcxb37eH9dsICDyIPuIPd3e8eYx9exHtVi+5fenH/LWq2eHY9an8ewrIskqMRiEIJquV= rXdzXLwiJ3sdyo3/3xqqq1zVVedqR7V9y/an36qRUcnKfHjSC4JKu6356Gtfy78LjWUxylQIYr6= qCSPHajACLECZgk9Oe3xWO47uE7lT1Xj15X11SzF8cY5qtoalqt/uubWw049UVFT/Z0444T1Tjj= 3prZXFY1e1V4X/L/AJrr6hGqnPP+v+H2/p13rYfbb3ljue877k/rhpoo2OopGW5ksikm3Um19vf= boeeNYfiuOPcquoahVVeefk2Grl459efA4RfVfeqKnK+/n18UTCMSr3SXwMYooj5kt0+U6PUwRO= POewbHzCuYBO+Q9ohNeV3JFQbUV3DWprc0I1V4RfX1X9SKv1c/DVxFRfVNJra59dtxyubdP+OZx= z6PCbEwwk3vqEag28CBfxvfoPy12PQ1EQ3mYtXAjSuHIkgMMAjIjk+lwUYkIndx6ojk5RVTj3av= 21PV31TOo7uBGtai1hyK+zrp0ccqFOhShPBJiS4x2vGcEgRHDKMjXNc1zkVOPdm+E9/Hr8dGkO9= r7gCwBN9rW636X25bnbDixqmyKFB3NgFOrbe6gd3v25nEGOdewW6VrjMrPJtqdzuo7pzqMgnnsL= /Bdl90plBhc40p7iSvK1FjCtlqBnV7kdHrDxYrGqqAjjX11Iv0m9FnT/0X4fMxLY7ECVJLqQyfl= mVXdlOyLNMztWNVvynk+TWxpVpaSPpOUQyHbFjNc4cSOAfDUdvo0ysESFmRFRmNyQo59/vPfiQ8= 80ihHldlAAALG1ha3v5df9zi0QSGajX+ievKJ9fPpwv1KnH1Lz+tNNXyLpVw+xubC0xTLdxdso1= 9YSbHK6DAMjbWY/kcqc9CTpbqubCsQ47ZWL077C6w9cdu5hFUkixIRGvR1uqHPYP+96c/bpxkVw= A6hwOh+dscJI8ZJjdkJFrqf69+NLwDbvEdssfBjWGVAaeqEQskjGkNJlTZ0pyFmWVnYSyHnWdlN= LyWZYT5EiZKKqkMZ7l51ur2o9FavuX/AF6/m0gu5PUttDtfbBxm/wAmNZ5pKAkmHt/hNHe7gbgS= 4znKxssWFYXW3mSNgueisWwNXCrxuRfFksRFXSeN6pMwmOcSl6S+pi3ruxXgsS12z2Leabxy3tp= 863hxbI4xHJx/YT6WGdqr2vE1/LdKAAANthYWFgBtta57sc95uSSbknck4d0MLRc9voi/UiIn+f= pq7wnw0z//AK42JUSNfurttvXsnGVW+Lc7g7cT5uJQWuXt8S3z3b6VnGCUYEX+9IuMkgganCuI1= FRVdBj2VY5llNX5DjF5VZFRWkYcuuuaWfFs6yfGK1HDPEmwymjnE9qorXiI5qp7l0uDGwcJ8E0a= E9URfjq28rB8d68c+5V440YMXFRF96Iv6dWJUWPNjSIcoI5EWUEseSAzGkEcBmKMwSjciteMg3O= Y9jkVrmuVFRUXjVsc+GVysFICR7fRWMINzk+r1a1yqnC+irxwi+i+ur7zDYvDl4+Hu4X9C86MGE= bJ067GFRqE2nwB6MSQjO7Fqf6CS2jZJRnEVEah2BE0qIn02jYjuUaiJkIGxe0FWw467bfC4TJTk= dIbFxyrChnNCaOik8OM3vVASDiTu54YUjU9Hu5VLzAv8SJ+nhP+eqfNAVVahGq5OUVEc1VTj3+i= L9X1/DRgxo+NbXbe4XYWFvieHY7jtnacfKU6mqIVfKneqKnmjRwsIZEVEVEe5yIqeiaTnerYuJu= 8Wimtye5xS1pKbMcXSfUw6OySXjGfxaiLlVYWFkNZbQAyZLaGqNAt48cdnVmjPSLI8tMmx5Lg2k= a5Fc31ROPX9Pw1Sphp/vfp/N+b/Xp+fSo8kUiyxNokQNpawYjUCpsGupupYG4OxwXHW354i/xz2= btVWpWGt9692pbq02RC+Sam8bWUB6m5nGJGikh+EQsmcGrcCmsLWceVPtK4LIkozhij+Er8volw= ufGYKZme4Ml6jhwzulW8c7TU9UUBainUL4SiFFqljsbEIBg5KMcRrjOQjuXwtMxyo1F5VdXdW47= QZyr8RK+RHAZSUjhT1WcuVOlAfrENe4NwCLELaDV5dR10aw1dOk0SNrCPqsHGwNgRva43uLEggj= DWds+mXHdsM7LmWOX16gpQHxpFNPZXS4z2Kx7WOWeaE61c9ikcqPfNc97ewb3OYNrUdNo0agVdb= V10vHrJ3qJQixiR9OsogsoYgDUR3m5PU47o6GloIjDRwrBEXL8NL6QzcyASbXsLgbYNfOE93Ccf= DjX3VLnoz1X69RsS8VcJ8NGrKnE1eHO4X4Lx9+vnmQ+v009Pf7vT7dG3n+p2HwHlgxf0aseZD6/= TT09V9U9P0+uvvji/xaMHPli9o1baVj3drV5X60+H6dXNGDBo0aNGDFL/AO679HHr+f0/NqNfr8= o8fvvmyj5BRgyRkKJudbVFLIom5Skq/r8BtzVSxsYfcUY7+cM3KxK59nE8Yq9rTMdw9JKHpy1U1= E57VDpP3u6pcL2lqtlK6ssbbDs0tLq4HZ3sCgQdfNxe2qRvDInkEM5ElzAdwWKrvD73oiccpZZM= sD5rRrUVEdJEWcNUyj+HDdDZm3AsSAtr3JO3XFdmvE9Bn4ULTyaVtCv1nu6AgczcAkja22+IU8a= xXbi16U95rXIqfGA7jMyTe6TDxZ2P2OP7oObRrj7KIuMMFlJx4tCxh8ks2zoPMW6rDdIaFxWMcR= Mpju2/TefKGgzWRKp4/wA7WwNXRhx1rbYNm+62ti2V1SXHmshrkg49aWjnyreWDzT2S+FWM5znc= YiR7HjrnKiudg2FOeviuVfw4w4TvHkjQMw/jMN4n+0DREe13cjl+k7uVEXX0fseeuhDoRcEwRwW= AAg2LmuGqRsmOxoRyFKplVSDE3sY/juRPrT1TXrHEyQ8Yr2ppo+NI7kJKgKK4hCqup/qKI9r3f1= 2GoWAx5/wszAivk1S2hQtyjsG0ljqYBB6xD22FrKNr3ONSwHZ/FMHoqDevcGDU0ezdnvPt/U29h= l2d09+lhHBm+WpkNhW1UaYW3xjEXUI6uFOg2nY2Q+M0rWqi86W/KI3SvkOeZBgeI2G3sK7v+sum= u8UdGKyQGN06ytp5V4a7jjcZQlwGLKa2xkIq+UdKCgnr3uVipi32NnXM5WvNg+Ek5GjSxX5xh5o= KvYR5mPHDKdQMXxSOVy9iKrOG+qJwtuJ7GbriEhCHwbCXSpIGDOYGb4eJwlSMOM9sNzjPfHF2AC= rQtejEVTKqf2rue2fIZJONL2opeMFZEMMyiOzGMRF0kmcyPHobiEkKwYBbAbcRx5pHaNMmqQjEM= 5dXLahfXZgo0qwYBR0F774fd7FuFhFDvT1KYTh19Cy0mI7c7RRMmzjHdwJeeYTnV3Ju86lDybGF= mwoJMebIglDFtaB4TrX2AChZKIxGoyTvq9uczs7bbrbHDb2djbr41nkttZ0dhOqr58fF3wyV8CF= NSG6mfBsJ8sUe4iWM+C88JzkC9zUIrWbeyi6Gt/OkrNN6L7d/HMaoYGcYft7Q0baC5pLR8qdjdt= l86zNLFTOc0SIG6hNEWQ1ryqj2dzkHqV/czbcmaJSWMMzY91jsshYbpJZzq6RBnsbFuYkqvjygR= pppVepRQSTGnHBlqOU1ncxecNmNfQU/a966GeOupo4YhFUuEmiap/d8aJK4ZWQolSQTGAyoFABY= JYzM7yTNM47DVGUQ+kUNTUywmojpZHgqjRpXxTVVPFOjxyJJNSJJGrhwzE21KX1Bnl3tPmWN0Ev= LMlyCruRyY0Q0awhMx2ku8Om14rENdLxErKEbQT4rLSWCASys7Va1OxzxS3ulNLrW0m+ee7nUGE= GnT8lfhWM3Wdbd5vk23ldkV1dFyfFnigYxIvZNxhtdZFSfBVk22tKmiSmLfq8A5T4XCLrO6/RXv= 1nkfN4eBbqzcBpbSobNxXBchDIyrH67Mp6W5rCTeWcy+s3yqQtk6smzaupqw8DQ4ID4yHe4bxel= 3pxj7C7EYntVcWM3IruP495mNy+5vZ8eyzK5Kk/IZtSa3lmsoNOSxcV1ZWKZoYMbtAIbWpxqHWV= FGaYTTT0lRVSSxxiGmgEfBhETBpCoUQ6whVQIroZEDE3uzTsjy+po4VpaRMxSmjjklMmbVcs80s= 8jxSGPjSq1SI2l1ueNqcK7oulAsYbo/efqexzIrevq8BusmxgdjKrKq0yTHbosoYG31xHjZBOPT= VMAroRK6NUNfXgriS44575yOlDE4a3KTczqWw6uybJ7DEb3L5dxu5kNHSUiwLqZFrMMBlc94LB8= MNHVyoNauN+WZQ3KnsGzFY18+M1/L3P8ZgdAF/ijjS0cj0IirZ2Llc/0XlyLKVF93HDkVF9yp66= ofgWPEa5j4UlWPVvcxbGwVq9v1IzzSNa1fd2tRG8eiImq81tAdvRgFIQPaA3fSQfbeqTbcrp52t= i19Ezr6waPUCxjvWMQusC9rUguNhbVqI574Y/8+3UxJusMsgbbpDpLuplByuml4hlKmwW3dnW3F= PNLY2HLG3n4OYvdZfeRlq0jw8oj1qkgFAKLIM1wPT3uDvDuATKJW6GDwMFjVRMbh0sAYLZs2yLP= w6gvLqx8xYMEB8KNd2dlRijhEsiKaqMKc5klpBMWB+C4+ju5YstVRGtRUsrBOe0TAtVUbKRHOYM= bUR7kV/Kd3cruF1n6mojVARxIInhijV7kaQxjqivVVcqPO8j15VV9O705VeE551FnnpJItMUCiS= ygMYihUa9RIOtrkAlTcbjrc2xNpYcxWoDVTLwtIJC1BlJcKq2KGnjCrezGz7HoN8ZcnHCfH6v+e= mJ9euUXkbZubhOMVsHIchziQGoZj34XmwnI5lc96JMlYjdBT6N9A5aeJHevBnN7eH89un1lT0T6= +OeE+vn83/dpmu9Q8MvtyKKjvM2xckypiCtzYDe+XSY3uV6QrurkPQZYklHje1qqdrC9vaiO/u6= yXaKszOjoC+V0LV9RJUU0DRgqOFBNMiVFSwLoWSCJmciMvID6yxSgaDz2homzHJswy9K2TL2raa= SlFZCYRPAJl0F4ePFNEZAGuA8ThuRUiwwwLdHZW5j9PON0tLJ3JyTJMSr6W1dAj5HAxrMswkQSj= lrRZlmQI7CirY/fIW7lh8MssEXl5Gu7XNlX6esyLm+1uHXE1aFtolNDhXEPG7Ul3U1dnEAwEqtj= 2xkR89Yb2qEslU/tSMe/lefVvAJFZa2bYk41VOqrFCV5mMsYpwGEcBAmCV0c6qxr+/w38q1fpK1= F5404HYnE1w2mn06X1XZRxzCOg1FNGjRK3H4Tl5DBCILWkeTj1McqucUnc5XOX6Swf3nPB2ioMs= poYZqWpo6j94SpPBxaKogWGWlEsTTRyWnhkZQsUM7sRrYQorOc72ayJ6LM5MxjrKkwNldHlj0Li= H0cvRlnjrFJi45nYOYiBNwUQHTEHZ3Ks5arm4zfvY9wyDpLV4yMcrXseyCZzHsc1Uc1zXIjmuaq= OaqIqKipzrnu6XwbhU3V3jba3Lc2sdrF6TsEzPcShtsyybJC2eVZnh6WESXSV9laz5grY2QC8/4= 9aMAYEMMoL3CAdojdDOQwzWFJawI/b402tnxBK7+4hJMUoRq5UReG9z05X4c6YLN6RMkpcG2Tyv= bmTj+LdRe0+J4hjc3KXgcSpzGnpKaFVWuJZEUQklzqOU2I10LhwXRSsYZFXlzdSM5o556/K6uKO= Z0y6YVbpA7RyTBJIgYVb6rMwZm0NYMsZXUC2L/ADejnqZKWSEP/wBswmYISDIFdQ0YAZQzMpvZj= ZtNtueFa2/6h8Hx7BqeXujmtNi8kp51VFlZNbxIs6zkVxGuktIJ7kewsUR4zH+J/bPa5hXtRX+r= X91OvDKKbcS2rNt7fZa/27DVwj1GQTMniGtpdotfblnwzxEyWsYMLbANRHCZ4xNaOSdyuJ29w3m= 2uyDraC5keyFQTZeR2mRWTo1PBtASSWMB0FIrGzm9wBDVAzHKFzHPlD4Vys9V0xemS05jcbiz08= CU05v/AJKY6nmxthpGcAqKByMY8yebcoexyl+gitYq6tsxmzE1cz0EMBpnKtGrqdY1qpYEiZBZW= LW9QbWHTDsX7ziijjAjk0Kil2Ql2sALv/GX1gLX9Xa1rnnhi5vaFb3ecr2R6nYxa56p8pTS5tVN= lDRxZDVbFgLmLVc8LGxlVSHQJkIR7CNa1OfBC9oh1Avunxp2OdP4qdLvHAMmh3DryGWkl20KPkE= tWrkiKkqBVElzQtQajQwmh/t1Re+QovTlKIslWZkYKSFYrFbi9E7yyNbHa5gmuGvo5wXv5erlRT= P9VRETVETptlxhymFzaRJdIjzRNMXGKBDRySioQZgowPhq6I1FGFr2Kio5XOVeEbqGZc8vtDSEd= +lhb/8AI369PLDmvNL/AFILb/Ya4ta1/wCP1939DhQcR6jNks2uION4tubh9/kFg0nlKisuYkqa= dwAPkSGhCN7nk8IQyEf2ovDGKvuTSr3FZX39bYU9nEbOrLWDLrLGGVHKGVBngJGlxjI3hVGeOUg= n8Ki9rncKmkIwHY2Zhd1Bt5OVnvVhrOVzJFBUQXm821zGclhCa8fl2uVWoNGo9XOR30URGuLG3t= 59OOePT1+pPf6/HU2nFRPA8dfHFqcsrRqh4bR2AIZWeQOGuQwJtpNiDyMynNQyH0lEV7kWS9ive= QWbc9bEjEDHUltrl/TJ1lbAbnbY4FLJtHWYmLD68UKLeT8fxmxa/JY5gXpoA7CfEhHfeCsySisM= 4vMp6IRwlbpZ+nD2oCbj7/2nTlvDgcHbbOEtpNHSSq+5NaVVjaxVcrIRHyosMrFsRI09ZIYjxSm= FEidqkTUu8kbXO7nJ3cJwiKiKnqiL7l/R+dF9y65K+qnaPe1nthcatcS26yl9Hf55t5k1ZkFZWS= XVEiBCjVobeyNYCH5UDYpIchstDkarOxHORWvbz5rF2HzDstmMtZ2PrpKahzPPxmmaZJ6NB6AY5= qaCnqFhAXiQxxpTR+jpCEWIXQAqqgYrtBNXdnHpa3L5JpoK7OaaKoolhWRVjnQRuQwUuqKY10kk= WLWvyxMv1G4bkm5+8mSxL3dLaDbahq9vG4bhNPuJXJkdtOsMmK+Za5tVRIOeYuaklRDxINbXSJs= aS6Qxp1aPsaqPyuJX+9Ozl7VZrm22tjn9xuFt1ieDEdiV9iQpEnN8NSdCAZwr3JK9pa/LK1oLmL= KhSJzoriShy2jQKPdoPUBgO6d/vR1MW2DYVtrlNcm0u2UOcPOsZLdXRoixcoZbuwx74ZIZrOvrz= Flx4RJcZDThAYpGPc1dJ7uBj2426ocMpNpNtM23Gxrp821xk23mVPvMexIgt4DRYNo2xmQ8mta2= VI+T6mAGgkjiMlNgeftIjXq93C7V2KyysElEnE2K6mLWYoTpNwyhAxBUbAqCdwcbwG4Bta4vbuv= 0xJt0xbf321uxmAYRkrQMyCoqV+WARTNkgiz5sg82RFFIZ9A6RXn8BSsVWPcxXMVWqiq3TdDejc= zIeofeXplxilrZ8KF0yU+4GOGAaVAvC5TkGVz8bKOVYMnAZ8kR4bGSnx4zATjIA4QSkKcXa73Z3= Nl3G21xDNCQpNZKvqWFMn1kwLwSq6yUSMsIJxPRqtJGmNMJeE7VRqOaqoqLpmnUF0kZ5ne/Zt8d= tc/zLAMgnbeVm3thMxK7pYD5dVUWNjdxxSo9zS2g3tfOmMY1wlY5HDa96tZ3c7vsyuWcWSOukgg= Q5e4opqpZXjgrUkp5IHcRAyXKJIhKg/XOx54ps7Fd6PA1Ek0pWrjNTFA8aSyUrRyRyKrS2TZmR/= WIF1vfDX+nzcbaXaHfzKse3Cpbyu3Eg7hRdt42YPDZQayluci2nZuHaY3ctBkUjGkobdYMuRh8W= DTREjOHDbM81d+esSYHPvaZZldbiyYe2WU7T7Y7ct2Zhbp0FlvRjuTmuMsNIyK7pWwIQqG3A2MG= bHqWT68jgFcaIdh1Ve9GNXfLOhe43Cot06XKoVv8pbvZntpm13mMbK65mQ0GQbbYzU4lCuqYgYc= YSTbStrpL7VGMAwqWcsIGsYqNTfca6Ri41kk/L4e39U81rsnQ7DFxqVewD1VfiGMPetdMhOJBJz= aSRGew73fQQjO53/nHKm/Wt7G8YV9YsmZVhoKekFPNJA1JHLFBRmWWnFRxFjEkslXFFG0TcFaYP= YvVq0eMFJ2pEIo6UrRUvpMlRxo43WdkeWcJHM0eksYkjgZnRrStMF2WE6tRxv2lmH1W3W2Ftufi= V9Gz/K9u4+4uW0GGQmWMHFsaNYHrwXpyT5saQsGxQKTIUACTbVwHORI5PDV6yT4tk9Xl2KUeW0E= hZdPkVXBuauSjHsU8GxjClRieG9EINXCKxzhvRr2O5a9EVFTUTEv2dsyNGwyNjtVPq5GG4mTb19= uW1w65mZDh4LqVbV0eQHIKC1jVkuM6acYZ1c2PKEB3hqr144lkxGmdQYjQUSR/LrU1FfXJH7xEU= aQogo6NcUAwhe5EGncQQhsc7lzWNRURMn2kh7NItPLkJcPLUVbTxtIGWKFnvBGsdmKIq24X8V2M= dhKA4xpez8mfM8kWbheFDT06wyaLPJKFCzM7jTqYsCW1IAWuyWU7M3uesDZu4iX1pC3SsaeFQui= KkceBZYk2zbNv2YtELRsLBYfJREyAjK5S0kWcBp3ta9VR3K/T9WlCCTj+HWGQOora+DSSB5HcYV= m1THgVuS3knG8cJexbChBHxuxvLuDKra1t7JhRZZ2jdEUzjiFpGJ/s14w8avqWjzpWy8lgY2yzk= XYL6fGFaY3uKmdjkU/hXgZdBBtBoyss4NHIr2OeEc4LmG50oU/o1z63lQ40zcTHa/GbTG9r8ZzW= qrseu582dX7U7gWee0rKO2vb+dPhPsJEwFfPkWUiwkIERCiVz3o1uR0C5Op9/wDUfn/jbGuE5AU= GOFtNtJaMXBAtckWLX6h9Sm+4xveM9Vm00TKKbEzbpHu5VwWkAwpMNyRlVHkZPkWQ4lj0eblCRn= 09XJucqx20p62PZmjPmyIagjtVxQKRc4u/G2MizkVLsthQpcdkdyrZNNWxiukxIM4Q40qaMEeSV= IllCMUQCEIFhuSI3td2sSgeznnwdwccy5m4MN0KnmbeWEhq1Nyluw23u6WdbmRhVwQ3oMdKy3Jm= SU0s11UWhYUeG+VX+BKIN43YSengctY7JH4LyWQokFsKRKx4xZ3nwQINfMlS5A7ACnbLjwI4vBV= EYIYhtTlEejugALAA8iSSSbnbe57+7y22xwzawzsRr1ABVVUXQQd9KgC4IA5f1wpId7ttFdW+Nl= 9WEVuk5a2Scyghy215jglKyUVEj/2RIxm+pE7vDVW8pwq5Fu8u1rm96Z5i/honKvS5hdqerU47v= F47kVzeW88pz6ppHz7AWMyPBgTS4keBXNKyIF9FZvc0cqQeRNGZ5Ll75bJSnI4jJLyNV7vVF4RU= on9OMeYIMVIuJChgY5BQ3U9kWM0quVfG7WWYnqR6IxHlIUpGoitYqNVUVccYV5+8+1rmdwc/xZ6= +K8KIy3huc4rFa1RMahuXEV7msRqIque5GIiu4TV9N4NsxiYSRm+OARzCOXxrWKN39k4bCp2PIj= uWPKNqoqcork5+tNI6fp8nlkQpnjYZ5iAiujEXFZTnhe0wyMYwiW6K5nc1X8lY9WvVHsaju5VsS= +nI55qzASsajKJS+TU1HPmviNkEK6SKKMlqyPHjEYRWJHaBWj5crXe5dGDDmaPJKLJYxJlBawbe= IKSaGWTXyBSQjlR1ahwPIJzmoUfc1XMVeURzV44VF03/AKxNwMr2u6cd1s5wpipktFi0stdO8BJ= LaPzLxw5GRkjq5iHFjsaQa5KJV7Xjgva76KrpUttMEBgFOaqACuD5mwlWJ/kuPJixiHksAPxHCl= SZT0Ko442PVhGj+g3tY315TbdDqF2CxCyttvN0Mup4EuTAHHtKO6iSCRZtddRyNSOVFASPJBKjK= ZpWdzm9iPaRE9ymDHKR0A9XHVzmPUduTsPuTg4brYHcLNcdxiLIrMJs6XJsqPlI7FJt3kG4YnCy= 2fcQXVs40nJbO+mjkkqyRqWtqqkIokOdZ/S5uVV5fAkvwnCQur7aRKx69m9RO+l1aILvcrDRMYl= EcwhBiFHfLitlpEYQhuxTIrn60OlyTYzYbMy33TpuhtDMfciisi4NulQ2ka5r64hiPr4OObl1FR= PyIFCN9qdtTW3NfZsjeekDHaiiPULMZuX1y5hkM3EsnxXEcUg3eD5NIoZ2Q1u5OGWFBMdeQZMSX= Vjj3NpSWPjNWMWTHbNjRk8QHBlGiqi8sSBcDUdtuXvwo3O5t449m5FdlOx9BIzHNdob/cKTIuY9= ft5ge1e8e99zkuabhSrAbqem+Rrc0KlrMdkz0+UMhlWRGU9NVCO6T5kbUYRxu2NNl2027WzDZld= jeJZTv5jeZXW8202DeOmFY7d0gKWyh5TSQ3leKNYV5bUuOZPdxgQAZbLLDsHwmSxHKVo+O77bo5= mWbOmbyYZiVWR7pdnOyq8g39hWEjykjz5tbR4BTTYkiGyQNrCRZWTwGoomoSa5qoqvD2r3X6Xtv= FLuHk2+odws+zCp4nbi5EhAEPR1UqWBavGqgAViY5jkaaCSjK+H4h5J+01hMnynIfSKzNfUmnuu= Qeg7vnpgIA5EH3A7bDv5/piR1vuT9Cf8NRhe0E3dv6e9292XpLCfVwsyopl/esrbudi0rK5tjuJ= txtVg+EycrqSCusZxGXke4Rcp3Eu6E0e/DiWJSquokxpV02QKRrEstx3OKCtyfFLWLd0NtHbJrr= OE/wASNKCqq3vG7hFVEcioqKiKioqKiKiojKevTpEvep3DaO023yCvxLePb5JcnCri3Gd9FaBLc= Y1lC45kKxWEkjryZPheKXUeUERSAlVHlXM8jZWDX94THPnm24dttDh2TdTGw8TNsQHgW4EPEoeb= 1GJbaYLiuY2x8ap8yjXBtusZtPnbstq76ovK8gck3Lmbil8jPdezKlBBJbw5NOo7euTvLsH0i9S= xczrKCuyHace72SdPpt68w2NuM6Hb4tV2UuTheZYZZQZNxkeHzjGSkx28kLj1044UlEGV4ipouz= XST1wbjbei2b6j+nPps2olQ8Oj7TWfUjiuagzfO7zbCvpm4pGWixaJVNjRc1Nho2438v3cqIUEN= 5Co/wAJVrNTaYrsttpjGA4FtpFwugk4ftnQY/jeF1FvVQbYNJXYzXRqqoWIlhHkeFKixIgGtlD7= Tq9qkV/c7nRgxDvZ9X+e7j7Ub4Xz8jxnEajD4OOUOG9OmW0+TRt5cgpTDwexh5veZjVZ9SZApJY= riQ4rKWpeCQkAzzW52lO1zb8p3Z3dx3G95h7e5BMxjMIkHrcyaszIzsvvp+GkxnJNvD18eFTfhV= W05BOrLKc6HIuI0+ZAGFkivkiGktknpFPg2GybN11JxbHpNy6G2vdbyKWtNZugMcj2QnTyRXS3R= GPRHtjKZQNciOQaKiLq+3DsVYSYVmOUbCWDZTJ5G1Nc185s4bAzWzHJG5ktmCGMcpplekgbGMKj= 2taiGDGmbK2Nhb7SYDZ22W1ud2c7EqKTYZfUQGVldkEwtdHfIsosAdndMisOVXOULbSb2v7v7Zy= rwjaN6LnfK+yu0DtvuCPA8ZxSPIW9hQ4mMlya1ZWlrCTTVxsqqrSthyTjs1bXsnsBFmRoylaQay= ByEezWU9VQ1gKmkroVTVwgtBCrayJHgwYYGejAxIcQYY8cTU/ujCNjG/Uia1G728obyxdcHHLjW= RAMCSVAMkchWiXkak5GRryMRGsa5Wqva1rV/uNXVJnld2my+nin7LZbkua1zTLDU0mdzSU8AoZf= VmnpZlhnRa2A6HhWWPQ4DLriJEgEp6eepo2qqipggpqqKqYUx3n4Wr/t51Fi9PIGIkUEXsCR6uG= kbQ9Qe6W4GIbYhjUtDEy21x3NpGVzstBbUcGfPwOTjde+ZVgiRSKGNfLeslvO0ZYsGQKRFA2QwS= ObnanrHrZIJ75OD5RYyKsEuTcBxsUOaCmDWSaiqnkNKnzK/wCUREt7YI64laEzpcFWzPCGPv7F8= m7LbeW0PH6+fjpPLYtEmV9MkK2uqgkaHYujPsY5S09hAdLDYEiRzSwy1OI5hIQg3OVV1mAbQbax= VmLFxGqjJPgDq5bI4yBGavClegovhDI0YxMSqru1oms48oL/ANbusaI1ZpYDXiEVpijNX6OCIPS= GQNKIAwB4KOSkZPNVBst7CZmM1JUV9bPQU7UlFNVTSUtKz8RqeF3LRxF7ktpUjc8gQN7XLfZ3Wh= t5VWcmmtKnJYdvUo9mSVbx1JZ9BM7JBI8E8QFq81kWSyO57DUbbKIJr2LJOHuXtyb+rHHhFroM7= EsspbOzHEO2NdfIUIUKHZ1se0qZsqY668oXz8SUIg62EeTbtXvG+A0rVbpYJux+10+2kXcjFg/K= Mwhyzygn2sQNmSSxWFfaQ4k4MOzVGqrReeBIQCKqAQaKvNy62T2xyIwT2+MClOCOtCo22NtGiyQ= 1AQx6wM6HEngiWIYIo4GxxTgSBsUTH9qvRXLKxDwi5OrPHYNFFyGdi2WSKidZfg5WW9ZDhng3eW= jlDhHx6sjGsBWjJDJSnGyXOhxa4nlZHZMd2Irtloeo2lv8zqsBJjOSUt/PLNizRXbqOIGqnwjWY= 3V/ifLBPlqW8VYst7cdS2ZGiTYEiU4A5YlXdh7B7SimtnDw+KhGECcMdZto6tjSwHjyWT4lS+a6= si2LjxQENYR4g5h1Y5DmIhTITLSNpMBLkcTLloO6/hWDraPJSwtWxW2iiMFLItUyc2pkTxikHGC= WeCQ4GkcgSDVGqiHz3HL3j34Q7g+7Ef8A1/bgZrhG8Hs7IGL5Ze41V5x1e02M5pDp7OTBjZJjZc= KyqYeluwxyMHYVZJMWNIJDkteFxQCerUVjVSOXKJHVLb5pvltRjHUheTcm3S6gMa3s6eMihZhIF= Rbh7P4vfyI+ebNYfYsktiUWRYkNBx7fGIr4p7IcfukMIF5HpM51MdLj+oPNOmfLHZO/Hk6ed6IW= 7rYfkPOJkaxMeuqL5GUnjC8ij/ldDrJRpVTwOzw+HKqMUovZMWtPT7VVfz4WTi7bdXeV9TwrIVS= Vk0MHJJZJTsEoiOl91fDIrkdPMrvAkFIZ/l1VXK65pZ6ZIEDOgkCMpDxat+K7qb+AAG/MN+ePXO= y+d9mqLKKBKuroqaugpZY5kqco9OJqBmmZZlSzGXhObJw6GnmiBtNTVbxgpJDGyKbtPA3Ab1c9S= +Wxdzc1zHZbKNt4oKXHLK/v5lNt/uXi9xV1mWUlTCjuOWlknjFjTwjggSSQMiQUbVY70cfjlVkO= UyiCqLGSJzVA+QGwzHcetekZzlGRwRTq0SGP9FXIxHorfouc9EVF1idhuk/L9mc16lruRuUuU4n= v3mrs6qMTmU5ozcJtDwo0GeIM0U5CTATxxhkMg/Kr4jGORU49Vtq9n5tTew7yHMgBPFOArl7Lor= iNY3sK1rD3ZIze8aq1iuARrV9Va5fXVfUkNICjoyLHGoIUqTpRRa1gLjkT1IJ5csN2iqKetzBXp= qqlnggoMupo5ooHpuKIKKFCHi4Kfx421QyyEWmeMy6jr1FUMYxCHjjiHj2V9MLJAIZw2t3NtgMe= xVc58ds55HiVXOVFc1ydzEaipw1E1uOrA2qnarkXuROFX6vd8ONX9R8ZwX6/Pu/5waNGjRhcGhf= RFX4aNYLJ7sWN49d3xxPMKmqZ9qULFRryjgRSyniY5eURz0ErUVU4RV9dKFZiFUXZiFUd7E2A/M= 4QmwJPIAnyxm0ci8/m+OhXIn18/o4XXKTG/wCki7CEkz1yWZuvj9lMuZIo9BTYNjtpAoorDJDjw= mWpp4TWb3qNZRpZQjd3yFCxiME1ddCfTPufc7nVF7a2Nwa5r3Bxa2oJUqvjVs1tVk2PRb0A5kaK= rhtkMHKY16I5yNcjmoqpq3zfs7nmRcE5tl81EtRq4JmTSJCoUuFNySV1bkAi5xHgrKap/wDQlWS= w30323tY3see3Ln7sOl185RPTn193GhVREVV9yabpvT1T7FdP9vi1PuzuLRYXY5kG7PQRraS0RZ= gMerT2lmbw/V7Bsjx3CA5ycypZBRI6EM/tSvpaSqrp0paKmnq6lwzJBTxSTSsEUu5Ecas5CorMx= CnSqljsMJWVtJl8DVVdU09JTIUVp6mVIY1aRgiKZJGVAWZgqgm5YgDDjNGkx2r3dwDePD6rN9vs= lr8lobiJCnR5MA4jFjsnxAzQRp4BvcSFNaAzFNFOjTCcqte3lF1s9zmmJY7LrIF/kdLSzbl5RVE= W1s4dee0KFGKUNeOUYT5hmNIxzgx0IRGuRe3j11y9PURTPTSwyx1ETMksDRusqOgu6tGRrUqASw= IuoBvaxwsdXTS06VcdRC9LKqPFULKhhdJCoRlkDFCrswCkNYllA3Ixs+jWsVGaYpfSHRKXIKm0l= sipNfEhTo8iUOG4zo7JRIwyKYcd52uEMr2NYR7VRjnca2HzAv8AF9mmnVo20yKUYc1cFWH5NY4e= SSORQ8bo6nkyMGU25gEEi46jpi9o1Y8yH/GievHr6evw9fr198wJP99v7TV/4LpMKXQGxZQRzBY= A+ROL2jVjzQP+1b8Pen+k/wA+OPr1880Bf/SN/Wn36Wx7j5HCcSP76fzL8cfZDHPYqMVUdwvCon= PC+nC/92m37kdLG1e7GQmynNKufPuTwa+uKeNPLCa+NVnfJgtVgfrAcjyIvdw5y/SaqJpx/m4/P= HisX/2m/fo80DnjxGc+/wDvN+/1/wAtcsoIsR0v+W2+/TkMNyrTTrol4UiXB0sVI1Dltfnv+uG2= 4J0o7O7brIXEsYSC6VEdDkeIc0hhRuV7leoyvUaHc8jiOM1iEV6o5FTjjSt4zgVRiTjOoxEiEkD= GExHKpVcIKvcJnDnf7qvd9JeXLz6rwiIm7+bjr/6Vn7Tfq9/1+/8AN79fPNx0/wDSt/aT1/R6+v= 8AlqtGUZZ6auYmipjXKSVqzBGKgMUWO/F0678NRHz+r6vPBGtPEoWIQoq7AJpHcOm3QD/OL7Oe1= O5VVePVV9FVfjxqrVvxWI3u5Xjjnn/4a+eMz4r7kX3fUvu1Z8+Xzy+I8xh4kC1yBe9r9bc7e7r3= Yu6NW0KxUVeeOOfRU9fT7/q0eK1V49eU/N/36LHuwXHePMYuaNWvGYnv5/Vo8ZnHPK8Jz9Xw9/8= Ar7tGC47xvy3xd0atIZi+5VX/AC19QrV5459Pf6fZoO3Pb34LjvGPhGd/KcL7vRfqX/h8V+v6te= J0JikQiia4jUVEKrWq9Ecicoj1RVRF9yo1eF+vnXnn5HQ1T2CtLisrSFTuGOfPiw3kbyiK4bJBh= ueiKqIqtRURVRPeqatnynG4zXvk31PGYNwmEfIsoQWDecfigaRxDtQbjD/tBNerVIxFcxFanOgG= x2IuD39e7/jHTQuFWRkcRuSUdkIViLXKOQASOukm18ZMcUXL3uGiPI1rXu4TuejUVERzuOXIie5= FVeOVT611cDGCBjhhG0bHLyrWNaxFVfevDWtTlfrVU5X46wZcvxYAASjZFSCiylckaSS1gsjyFZ= /fQBnSEGZWf76Dc7t+vjWbDLjyRMPHKw4SNR4zCc0giMcnLXsI1VY9jk9Uc1VaqeqLrnSBztY3s= CBtewuPL56pt/QfN+pxWIIwNVgmoxvPPaiIiIq+/hERETnV3SVbn757O7KVsO43e3PwPbKqsZse= ur5+dZXS4vGmzpZmgjxYhLiZESQYhXtZ2h7+3nuf2t5VN5hZLQWNKPJIFzVzceLBWzFexLCJJpy= 1qCU62A7IJnQ3wkAimWU0yhQSKRXoxOdKNhz5c+Q/xgxnNGsTDvaawjDmwLODOhmYhBS4koEmKU= bkarSDkBI8T2ORzVR7Xq1Uc1UXhU160nRHNVzTjVqJ3K5HtVqNRFXu7kXjt4avrzx6L66Xngx69= GvNEmRJ4GyoUkEuM9xGsPHKwwXOERwitaQbnMcoyseN6I5VYRjmO4c1UT06MGDRqhSNbzzz6emq= fGH8V/V/r4LowYu6NUtcj07m+qaq0YMGjRo0YMGjVvxW88eq/oTn82jxWe71554/z/XpLgC9xbb= f38v6jBi5rVbfBsNv5Hm73FcduZXZ4fmLWkrLE6j7mu8NSzIpnqxFa1UYru1FY1eOWpraO9v1Lz= 7/ALPq9fr1om4+XEwjFZmSDZWvSGesYRtvZJUQUFOs4kEryz1jykC8Y5DnhaoH+KZrA/R8TuQuD= yIODHpdtxgDniI7CsUcSO1rAEXHadSBY1GtawT1hKo2NRjERrFaiI1qIiI1EShdtNvHDOF2DYgo= ZJkkyBLjVKojyE7uDmH5LtKb6b/7V6OJ9N30vpO5QvcHebcDBWS7mbVbc1GGBIaQHJsuzuJjkVa= taFkyLJMWyfDjDIS7QkIrXGY1kJ4ZDeCd7ETPbnrPxzd22vqrbDcHp6z+RVT2w4kTEt4savLOWj= fDbISRX11lJkxDjepEQaMOxexE8RVXlFwYeKDbvA4qEbFwzFYrTc+M2Pj9QFpUXjlCNHDaj0XhO= e5F54Tn3asP2x26IgWlwXECNjI9IyExqlekdCEeYiAR0FUEhCveV6DRqOI971RXOcq3MLtcnsKh= ZGY1kKnt0mTBLDgSHyoyxBSHMhyWGJ9JVkgRpHNX+65Vanonrt3mQr7nc/n49PX0T193+ejrbr3= dfnceeDHjqaaqoYYq6lroNVXgRyAg10SPBhhR7le5AxYoxAEjnuc9yMY1Fc5zl5VVXWT15/Mi5V= FXjj3fnRfs+7R5kPHPcvv493vX82i478Jcd4/zy/qPPHo0aseZCvPDuePfx6+7/X/H4Lo8yFV4R= /r92kuO8eY939dsLi/o1Y8wL393p7ufq/X/AM/do8yL1TuXlPenC/V6/q/P7vz6W47/AJ+SPPBi= /o1YSSJfcqr68cpx+b8/59V+Kzjnn/X+fv8A8uU0lx3jzwXHf8/JGLmjVnxx/wCL/Sf56++ONfc= vu0XG2435ePu78GLujVnxx8c8/V7vT4c8e/8AOnu540eYHx6rx8fzaW4te+3O/S3fhLjvHni9o1= ZbIE9yNa7ly+5Pt/R7v9c6vaS4va+/d8+/C4NGqUciqrfXlFVP1euqtFxe19+759+DBo1bUrE+t= f1ap8caeiqqfpT/AF/r9C6W47x54MXtGqGka5eE5VfX9Hp7/XVei4PI3wYNGjRowY+KvCc60zcG= smXuE5bTVrGkn2uN3VbCGR6DY+XMrpMeO1xF5RjXFIxHPXlGoqqvu1uT1VGuVPeiaip6mN/+qIu= 6+X4Z0z4ZuBej2t2su8inwo2A1tXU5jujMusRhYjjLcw3JHTY9c482iuL67sA4hdR5Xj0pI8y2i= KxsaRJo6eaoqFELwxGMcUyVDaIV0MunW/2bsVUEggk7kAXw3K4RSSC19rKLk322G+OMrKP+j7+0= 7BY2d+Tbnb8FZEmy7Y8qXuVWRo4YITvllPIKSH2AEMDVeV717Rsa5zlRE13V9CWAZFiGyOLXOV2= tDOvMpxbCPMwsVtomQ43UjxzGIGPjj1eRwwRx3rD+RfILOaNo/FKoRJ2i73sQ3R6pfadyBWO1eJ= dJ9XWZnmFzV4zjeYzWV+U4pjWNzMVNJtMpy+cHKamhPZS7ZHRS1te41fQuaSOMWSNdHNJQrpe3W= 9o9tLtc/bOXtsR+IYvuRGwT8PpG2fjZRh9fOmXVjlOSxMOk5FjAs8gkuSt+RZtPEj0ldAnxW+Fa= sjHcno3abNs+7X0MDZpV5BFJRShqaOmnBaSGYIJJCRJOL3VVjWwaQhtN7AGoo4aWhkIgjqCHWzF= 0PqnVcA3CgWBN7X28OfSARyOY5OF9UVPq+/3r9X59cdH/SFdsMvpOqXp+3ds7OdJ27yujrsVhsk= lcysoLeht3GuIjHr2hCljCsATyveqPN3yPVWD9OtzbmTfTMOoj5MWfJvHV8fz8u0g1dVPnHRiK6= ZJq6aTMra4khfprDjSTDjoqM7u5FRGX+0m6I4/Xb0+N2nFOh0eU1OZYxlGMZHMH4jKhY09kHIPR= iKR/mManWnhga4bTzRQmkIxqd7a36Ne0MPZntdBVV1S1HQVdJmWR19fAhaagps1pJKNsxpbHWs1= HI8dSjIyy6Y2QAF9sz9JfZ6ftJ2Wlp6KlWurqCty3O6GgmYLT5hUZVWQ1Yy+p13QxVsayU7LIrJ= dwxFlN4IPZmb95djdjk2G7e5FIk0NnheQX9TitWQ0sky4jICRVsCkfvP5yGBl6wLAqjyRY6NVHd= jOJAetXPc03UrMKwndHGMbx+omZndWuNWMukvAzK5lDnTsPrbiTZBSRcxBRK5X3dgSgbAkSUsKU= Y5IYJZJ1eh0p+zH6cOlEWO2WJUNhc5pQBB2Zfb2EnzrpTI5AFIKHFKCCwL0MVEAUJ0RpHcuc5Vc= r0872pwHc6tBT57iNPk9dDOkuEG0iMO+FKajkSRDP9E0Uyo5WuIEjHORy8rrD5ZltJ2V+kCbtJS= dte2HbHLm4hD5+IaasmqhBFSU9apSeckwQwhhxQjTyyvPKplJJ2OfZhW9sfo/i7OT9iex/YfMdM= SiLs+Z6iihphUNWT0hDQQLGJ55Td4tYgjiSngIgAQQB9JOZ5Ns3lFzabcgJkM7L6OJkWVMtqTLb= a5tLopiRA4YRHIy0rxUqhYWrlzghjAdbkDNcaRHXskITqG6gsuyqPRJgc/E4EPP8fiSyRKa6Wwj= U5LV8WbFsJJ45a6bFlw/9qfMhkG0LEajmqnLtPf292O2r2rWwft/gGOYqe2IhrOXV14hzbAje1W= vmzHI6TJc3tThSlf29qK1U9OFO8o1HKqBYiqvKqjWpyqL6L6Iqqvv454RPimsp20yXNu0/ajNc8= o+12d5fQZnVU1UcseOGQQiCip6VoFmaQtHCXi4irCIluzMULkNjUdis1yzsz2VyfIqzsjktfmGV= 0k9L+81eZeK0tdUVS1LxmMLLOEm4TtPxmsqqrqgZSje9uLbeZLhU0251atniONxrHKrUXiSGODH= oq2TOkSWpEIEhXCijM5okdw9VRETnjUU8DqI9lZMAQoiHAUNdX2IYh4OSoc47NhCMjgUcw0d0wI= xFLKiukMIMYyvH4qDIjJety9v7DcKjSiiZpk2DsU6vlT8YDjciZOglCUEqqliyehyGuLBljKrDs= 8k0r04a0zGqqObfC6HcLhoNWZjkD1GFscbn4ds61wwJ2ogWKDbQSNGiMYnYicJx6Jxr0nI6jKIa= aZM0qMyV9Y4CUNS9OEF9TGQGjqFfUCqqVZGW3rAkDHmmf0eZzVcb0GUUFaojCyy1cNLI7k2CrG0= tVTsgjFydQZSfqkcsRjXG+fSHS3hq2PcbUFrYdUTIC2boO5basIEMcAIprZR+TjyZp4Z4sYpSrF= OeRWKN3bNChdiTfzozSpgPj5rsZBvUqSWFkKXZbgpDUstO+qNEcSA1xxGeOUCZGC8xYsyO+J4rj= I5jZLidGmJFc9y5bep3jeNzfwS2nc1zCTflIjXI7b13c0tgiTXoqqiyv7b+8iKmFF0KbYR7SwvW= WU5La0g1lZYS3Ylta50uHTinRoIHsdgKiY0EexlhTwhsV4yowqvYxnbFOX9l9M2rtB29Mkiiwjz= 2ExqeLE7iMS5QGi9VZEVrvpVlG92JyrZL2iLtbs7lzK5I/iLQbA2I0WzE2tp5MpFiffht97i9MH= DL8dTJ2eqMlPRMlYxPBb5KOD56fXxbSlNKLMDObGjzIRCHIV4ZCeXVpRi/szI1vNBS9Rka0ypfw= 36apVcUl5Z4xX2NjkD5kJpyEJj9TJsGUcIK18UKIOZOeA8iY5qPjOD3q10s4+niIr2OkZzk8srW= DZ4p6bAFf2BEyOFvLMOYitCAbBDTjho2tY1O1qJr2P6eqkwwjk5NdyUCqeH41NhCqNEb28NRMVR= qNVqIioic8cJ9WszQZh2tyaGoo6efs/nVNJUNJHL2goqyur1hVlCIZxUwoDoUX0oo1lmXTfaXN2= blqDEx7PNBwxb+BPl0Rckfb01HS57xcC4OGPbDW0iBfZJB6jLjbL5Mg0OOS6OZh0e5jx51zaqYl= qyMZxSlPWQUWNFiLJBHmG5Id41Hw/TzcWhdPeWzI8bFJ9PdS3KcoY8CxmHI1YbguOr0Qn9moXGF= 3tJ2LyRqcKq8Jnn7CVRUGhsity+E1oxqSnw1VGNi8tYzjGOGtRfpInHovu492sjU7MQKKYywqru= 0hzU5a6TGrMWjGex6tUjXEj0Inq0vY1Hoip7kVPVqarpZe0lbmPHqqfs/BSsyCSGiop6cqFVAXi= 1Vci63sWbUm5J2HIW9FlMtLojbs3TSxKyniSnL3nsWB+uZybpf1fV5LYb3xnN0760xPAbS7onsH= PrnVbY6KAcpXMkW0CIUYwHcwbzvjnK0CPeieKrFc5E9dI/jW+WRThUta/HXXdtKZPsZr45Y9aSN= QMy+ZjcN82MYvhxruLFjPmXsBhFZAONkZERZQXNctY0lfcV7qu4hR7OCbwXGjTgDkAMSORpQveJ= 7exzmFYwrF7Pova1yIip6YUmC4mWWKa/Gqbzopj5o5PkAIZksjAjLJQiMRyFIwAWPfz3PQTEcvL= U1pI3jC6XW5Bve23TYWse8dfeLWxa5hlucTVyVOX5kKSn9FigalZNV5BMJJJ7MssKuE0xD1CSNQ= 1BbYQuL1A2M6RErouIEPcl8/Il1iThxywotfHqjGEQkkQQlkObahMA8QkiEeIxZYy9j1Y30M34l= SpM2JV0kGeQGTUtKCS2wkR4p4l2k/wpjHEgoQhY7q8rHsE14TK5qhOrU5VaV2/w9AxgNxakQMOS= s2MNK6MjASvDaHxwp4aIMqiGwavbwvhta33IiJ8i7fYbDK88TFKKOV8oc5ShrYzHrME8pBSVVGI= vjiIYr2ERUc1xHqiorl56LRE7INrDc+A69evutsN8Qxl3akaQ2d0xQteQrTBW4egBFS8TeuXuzs= xIIAKKoLAovc7p5eSvx7IqmDVCr5kqyMkFbNhVnwoESWQ4ZpUiPfDkDfFVw0E5U7l7C+5dXKrdq= wu1Nens4mN0sG0pq75KLAWwlTEs4LZTzSpDU8WMIr3r5OQFjANCxHlRyqqItKYFiLFKrMYpkUxy= yS/7ABEJIONwjmd/Z8KQg3vG9yp3PY5Wu5RV19/ATE1LEOuMUymgiGGGR1fGV8YQmuaFgV7EVjR= Nc5o0aqI1rlanoq6UPEBuvI9LEEbHkb+Z63tvjsZX2gExk/e0bAhGeB+KsbTLCsetREI3RNYMrR= KwVgQr3IZ2QN2/tgQrXwaivPXwLi6j2pxHmvfNqazFEykUmpGaLHISUeOqiaN4lGQjE8J7mv5ar= +2+ZWmaVUuzsaEtGJCRFrnulhlDsYcyvjTmSQuE5zh+A85Ir0IjfEcFTDRBkRrcvF28wyEg0i4l= RRvDlDnMQNbGGjJohPAOS1GsTgzAkeJhP7zRuViL2rxrOU+P1NBGJDpaqHVRSFcZ0eCAccLivRE= eVRiRGqReE5XjlUROPdpuRoyp0JYnqdyACLi1+ovbYc+7EnLKHPoapZMwzSKohAkLwRRaFLFUSO= 2qMsES2tgJNTONRYhiMQh9XWx+GdSHtA7XbXce6JSY9D6GrG/pL6RaHgwcJyQm5NrAZmDGulxYY= 5ddHcjlNJcg1GJEI9GM5SF/qSrMcxrfLdDAs2s8j3W2uxPqv6KaG9h1lnKlGzjEqbp/vksGwBRL= EQJCX4ISTPBDJYCUYrXqR3KP10s9VPs+w9Sm5htza7ezcPaW2ttpZmy2UwsOh4tNh5Ng066l3Uu= BL/CGmtDRCmkTDMdIryxjeGjEa5qsVVR+L7H/AGjj5zDzYm4m4Mp8TcfY7cZ1RJZjhYMqXsdgEj= b6oqZL3U/mH197WySS7l3iJJWXx5Q0cKqPTEH8OadmjHr6SJAwOoakIUgctNmF+dumPoPtz2oy/= Oewf0fZPl/aapq3yXLoKWs7LPl08MGUVkEdQtVmCZhMixytXtNEDT0byRnhcafTNYGBDpZ6b8W3= /wA66X9sd2YFtj+y+6G3XWjuntbWX2TPKHFMMtLWC/b3IpSxLs8OJJxqOMj2RZc53yeWKQZ/D4d= rrd6ZsFp9kemja7b+tzl+5lJtzt/Ap4ufDkgs35VX08YrmWzJMM8wExTiZwx8eQdpFa1Gvcvqka= mQexdoy1+FQtveqbfPa0uBV28WK47MxyBtxZFh7d7z2hrTIMBaLI8NtwNpq90mVFqpIhjsY8U6s= WSr2De2TfZ7YKs2R6cMS6eMWtZ9zVYNt1+ANPdZSgpk6xGKukQhTrxkFleGQ4xTqWWKIyK14+4Y= vC5RyOSMDaxNuZW2nYG5GpRsel+64tjx1VI1baSeTbNY2FjpOxt3HY2t3453urWjx/r33Xn3O4m= zW6NECsxe8xrC22lDc3GMOlY/i26SQbSAIMBGiu7TJ77CpqgCAqt/B0X9r4jka55fRZuetVtJux= 0pQNlN2RY5WYRvZf4amRMsa6fcRbawuZ0PbevfIi80x4dbcApKQvmXqxISOVjScNakcj2Je7kqP= tqUXUJhWPz9u76hvAwsX25vqzH7SXibsWk19hYQj55MlluMol454WaWAJcV0+CYIYLIRoyyTO/2= N9nFnm3+9eQbyZxuPhdlYZ5hHUbj2aAwTC7TFZIrvfjK8CugW+MTLHKb9a8eKVmDviRBzx2Mgky= /sjjkgjo2M+3mr8peGdYskSB5II44ZRmFTIKeVCpaoSNlAZpLesr6hubAWxVx0WaJJCZM3aaKOV= 3liNFAhqImO0LyBhpCjkVsdt73OElFieJxZDEuulrqsBdjPNHbNpsinzqYsyzJRvsyCRkxIhYLT= SJJgIFHAFISX5VXMc48dQdu8IoJc6FWg2N6kcbxvJcbs6u8PkeRWZJMCLbNjDBYEEgiFcWC+DJh= gjCljlBj2c2eSGpJXarnv+pFNZcFt4/Ul1FAcWCGuWP+HIyD8qB0womPeSueQyjPPlEEp3GaNDm= a1iK5rmqztDsBfbVZhZ3BN2s8zfGZmNxaaFjOZWBLb5MsBzI0iTbR5ykGNPFFG8EMUcELYySpiN= K4RBiDTb9efX34ufn53P8AU+/CHbddQNrgmJU2BYt0x73ig46I8StFMhOUJq5pjy3zi289nilkS= HGU3gnGskpJDGuchEkNA53ZXde+3Xr7u0uNucs24FWWra6DBzACRbK0GgleWcKO1jUZFaREGx3L= vEXlfRETlbPAGnrwvr6e/wD5e7X1oRsXlqcfo9P16MGIofa3ZcGZ05XmzmOW+TwNzMyk45kNBGx= ijs7GWenxzJq89sVJIoZKZzQtY0kqrtZsNljDYcHiM8Vj9c5WSFiY2HGrDJYO4GO2OVZDfWUmfj= lTNFEiR8Tq8dsw1pZs28pq3HZ8egCawbWY+ZZlpKrstlx5kw8ZUZ2V78bEYP1DYDZbc58y7ZR2c= qvlll43dT8cuwFrJg5sfylzVljzo4yFEg5IWF8KVHeQB2PERzVj3i+xZ6M4FiSzhxN1gHkRCwJY= o+6eWxYs+FIcrpMebGjzwhkJIY40Z5XsU/lJUyM0rQyjsJJjqIIluKYtKF0s0r6otQcEukYiU2K= DTpZ23LG9uXWpQtggLGwu9mUbg302HcRz62vvhP8ArH62Op/pCxbp0Jk9nsfUBt8czfJ+oHMW1Z= ssPi1Zjs/E4eOy6PbUu4eGZZY4rMFd2QstynHnZJNo7OLWiBjzg2bfD9uR+1TJJoW5tT4YKkwGu= 6haXaqPZwsyxnJM6yyrq92pm12ZntNsHViXuCRpNjVzD0pJcuZPk10iCdCwpUkQ9SrZlsttRuW7= HD7j7dYdnErEZLZmNSMqx+tvDUkxiickqsLYRjviGVwAuV4VYrniY5eVaip4w7AbIx7q4yMG1OA= ivsguK3Iby4Hi1Oywtr2nkJLq7efKbEQsqwr5SJJiyyucYJ/7Vj0fy7TDtrdn0qmti2hBpRdRJ0= qtzpUXsBcgCwGOee9gL9ALAeAHQdw6Yh9xL21pNw8Yxy5wLpXzi+s8skWEyhr5mZCx2rlYrA27y= DcotuW8u8Oh9trEo8clgsqSJWzARp54g41xOER5WbEX20WGvwLLd1YOz1gXA8cZjFRE85uFRx86= sc1yispLEFUbb2DTWmQQ8XifLkYJsxAywERRFKOqVis7pYKPYDZLGRqHHtqcCpRLOtbPw6zF6iG= z5RvIR625mo0EVjUkWdfJkQpxURHSIpigKrhvc1ceXpr6fzHsJJdmttySLaiBi9mZ2IUavn47FG= 0Uaklu8nyesAJjBiiE7gsY1rWtRGpxzgxHVt57Q3K96xDySoBhuwWNY9S0V1kNTu7AubfIsrWzu= lqpbMKaGXiUiXThdxGiXCU5JB5z+w1fHaxzHZ679pMsjILnGcE2+r72bT5ltrUsuZ2USK/HrfGM= 4zWbhZ7gE2bQV/yfLBNgEUTFWyhDWQxxZZlC8JJCE2L2fbFxuAzbDCWwMOYweKRExurQGPMG/wA= QY6cXlkZBYN/D2tAg0R30kTn119TY7aNq3Kt20wvnInhJeqmOVjflZ8eYtiB8/wD2fmSoZ7nTRe= J3KOSqmZwRe7V1BW5KI4xU5ZNLJFEqkpIiRGVWQSSuUCSzFlViOI40liijSoOJ0c1EqgPTM7BQB= Zgg1bXY23N97Ann03w33py6x6rqGz3McMqsFyCgh43Ht5UTIZrpBoU9KHJ5GK2EWc0tVBFW2T58= d8iDEBKs0kwmSHFLGNFKDSx9SZih2fyUgpAIr+6jYpZN+DGA9hL2tG8br2RCsB16lY5RNKkQhXO= egwqMr2EYomP7f4bitjb2+OYrR0VrfkYW7saqsiQZVqQXd4b55wDGSU9nc7tUquXlyrzy5VXTN/= SzI+2VyevEQ00MijIAY595WKrmXleqq+ZjceVcjA1qKsgcILnnAhAvcMT3kZWVT0slSz0VM9LAY= 0AikkMragqhmLm4JJuTy6bCxGI07RNITBGYo7KAhcuQQBcknvN72/xzQe2v2rw/erqNxDE81yrO= 6imxLoF3x33iVuJ3wYlXZXO11xjD6uLZRJcOUCXDnhvprZZ0EOS5gQeCQX00dEbkPQLsHshXRs8= wrM92Ku5r/Z9Yb1rNdBvKWt78yurnFoxMcIWupIpn48xtxKc1VJ8odwh8zHJ3o6cT2tRGxOpqky= Bm2u+m4Lsh6Ed6diCrtXtZZZfXU9pvBbY4SotLG2lW1QFBQhY9OdKrg+ZnoMwHleF5ER8bu5GbP= z3Glx2N029YtcQ3s+MS6Mny5WwbyAZkWP2uMTi5c5g8tcT5DKOkktZEY105qmEq88OTTGGsdVG6= OYJj/QzT5imTBxYi7WbXWLcjtLsFKKI+aLFTyDS7qZNrhBaWOSSyQ982O+QwhRNf3kaixlZV1h4= 7I2qfjLeo7EXXUSlbBjSavezCgT4+SMyS7JYkrbR2UNlGrR1xsZPRyLAhZS1VfbQpY0lPRDy402= zm2HUL0mYNtHuhjEzJNvMh2twWousct2XWLz5AqmkqxIGaKJJr7eqlClQkUoGyRlERisV72J3Oa= CnsN/Zlt4VOnJ3c17iNX5yt1FRHuVqucvOaKqq5Woq8p68eqfGXTTxxC0i6rPqFlBJAtYG5UfJ8= MVNbRTzyF4pCmqPh216VuTckgAkk9CDtbzSzEupXYr5a22Nf9Ve39rRH3SvfPqPe3HXrX4Om1Nq= wUe1QeQ8rBNulKJNqo7VkyIkQ1WF4xBidglrg9ZPTy2ugTo3VFtGc4qeBW3lZK3bxNGS40q/uy/= KMQyXT0Ba1MZ0KQhO5o5lY90V6ud4TwYYXsN/ZmRgijg6cfCBHN5gIx7k7qMYMqO70I1qZpwju9= Efzwn0kRfq1Q32Gvsx0J4qdN7Wk7RBR6bk7qI9BRnOfHGjkzVF7Aue9RIiojO9Ub71TULMKWkzB= 1eSWph4SSrHwAgJMjRsGb1rXXQQOYKsysLG2J+UVdflMcix09JUtNJA8hnZ3VTEhBRNgQjavW3U= hgpBBVSPpusbp4dVx5Fd1TbVsIy4sh30cu7OJyEkRW5+sqrPHG3IGqjQY8pRyEEQSuiKkd7VexG= s2ux6z+mdswp6/qT2ufWzKk8IovnUxWOUF3HgyVg2EQT74jhw3vJ5eSLxlI4/glVOBKi6iz2GXs= xka4Tem5Gjc5yvam5W6jWOV7kc5VRM0/wB5zUci8cIv+evQnsOPZmc+vTl6Iio3ncrdVe1F5T0/= +WqKno5yenrwvu4T0qxkVEgIStzAgrFcsELXjUC4BdlGq7GQKo1HckG4F0O0eZuSZMvy6+qUlVa= QKeKVchtgx4ZVeESSUUaSpsMZYvWbsIGGw9L1R7NyyHh14Z0Cfu1iXi1drDqEVLCM9109ix5Env= FNCThqm7Toj0ReXN9Pm/8AtHu/aXVZtzuThWczKynppdsLHs3qMoswHON45JZ0OsspyQ4/mRkGK= R2DHIVFRvPb6NOb7Dj2ZjFL29OXb46N8VU3K3W+n2tRqK5VzTlyo1ERFXnjhPX09HL9M/s9ukzo= 9vsjyfp52rTArvLayHUX878KswyB06vrzFNDAoslvrYIPCIYjkeAYiORUa9zmtaiOwZVS00omiq= 61yoXTFLoaPUAdZJa7R6ixuEax5XC+rhmbOK6qiEE1Dl8SsLNNCZBNpumkEABHKqgUFlFhcnU51= YjR60N6N26bqk3Sw2h6m5eymP4xhuK2mO0ciWUFffWkzFpNnKgRHDIxsaSeXEEx0gqqFS2Amv7V= Vnc2929O8IZ8eET2hBjNkPPGYeNNcohnj4pPv3FKUs9ggQy2cB2NhKQjXksJMN7WeCdF1Oruz0N= dNG9+YzM+3N25FkeVT40KLKtH3mQQFKCvjDiRWLHrrSJEb4UcQx9zQI5yM5crncu0mqey96JV5R= dnArzwn/zoy719F4RFS99/r/l6eqKia84zDsp2qqMxrqmnqqGWGermlgaXP8AtFSusEkmuKJqam= DU0RiX1AIvVNuR54+Eu1n0I/TXmnantDmeWZtkEuW5jnuZV2XPWfSH9JOWTxZbU1sk1JSSZblMY= y2lNPA6whaU6LILa9ziDa36m9/KPculxkPWTkWUYeXGxZFeZTWXLoIIBVFMU1Cj+2w/29JQI0Vr= kjF/tJo3sE8TVK6qD1AdVsu2bV/9anKhh8nNkvvHXAH0y+HZyIEYcczJbzGd4QhzpXiCAgI0kb3= qJvD3Tlf+S96Kk/8A6OBX1RyquU5h9Lj3IqfLvC+9V5VF4+r19dff/JgdF3u+Z5iIiKicZXmKej= l5VP8A+PenP18L68/o4qIuwvbXiTGXNIOE9S08ccfaPPwIo2REFOrtTs+iPhhlYEMHkkPUAYqL9= nD9oPj1Ek/a/KjTSZjLWw0sH0mfSIgpaaSOBBliTy5dNPJTxGDiRySSccPLNdjqW0KJ9/uo/wCR= oEv/AK2OZQJaMc2cyTYNkvkOeeOyPNACLKIgKxwiEaGQcwvFcjXEVnKt1gl6leo4qkSv6ss0mIP= sarDTQR5RHuinmNBBE2zeKQY6BSKxpVaxJBBtT19FnM/8mB0W9qou0LUTjhF/CzMuVT3onPy97v= gi+74apT2X3RV9FzdnRo7nnlMqzFPX6l5+XVVOOPXj1/z06/YntkXBSvpVW2lj/wBRZ+WIsALf9= uFBFrkqljuTuTiZJ+zv9PzSq0fajKY0Eehx/wCJf0il2soQEXoeCGC+sx4V3f1idVzhtvsyOoTc= jNdtd+cr3bzHJc2TAL8hIpLojT2cWthUAZ8mKFniOEwj3IR3hIVWoR3o9U1IATqYxyLPqK2woMj= gS7KLU2MmOYcAkiqrL6a+FTzZMePMKU7ZaDWYUURDliREcQyI5qsT37T9K+yOymOZTiG3OFjoce= zRSOyaAtrcT0slNDSvL3nsZ8qQJHxEQXACCTjlyfT+kqiTdp8FsLepuZNInn6SNXwoZRS50cZYd= SVD1cacEEgYLINebk0Rk8choSuc9nCucq+ndmqCtyzJaCgzOo9MraaN0nqRLLMJCZXdSJZ1WV9K= Mi3cA3WxHXH2F9EnZntH2P8Ao97N9nO1uajO+0OWU08WY5mtZV5gtVJJWVE8ZFZXRxVc4jgliiD= zxq9o7WsBhqdF1SkxaRXDz+lywk7PtyM3oqaVIdQwcbo67GsjZQx4iWkidFhCkKhwDHXGkrY2cm= JZHiMK0TEJfTr62ia/MCyImShqsXBkBIlw2JDkRL82N260c+JDaGW4lec9ijmVyW6Q2zQsIZisa= zhV9yXp42nyxtSK8xd0yNS29ldRIbba5BBPOtroeRT1socaeKNaxz3QhWCxLEcmMw42dgmtb26x= gemDZMC5YiYRHJHzQVkG7rzT7Y9X23E35StHVlYWa+FSln2H+3SS1AYRCy0Q6u8RO7V96nUG/wD= Tly35bdd8ejG99rW/5+HLDTrjrcqpOfbTTIYcjrKG5nZjjVzhpIkM1lfZOGtCXHYtZLAd9fMYYx= 2EFKDNZHG5hmHcxwlRbG4Mrq6P1PYiXFIl7H2vMxSmAhahRR6ovya+6AV6VpqtpQOV7IrLd8q0M= jZS1sqPw3l2helvZA1ZV1szCmWQqh1k+Ae0truxsAGtWCHMkrZTLE04kpwwiaCSWQ88VBM8sQSt= RUXCurAVowxo6GQYI4Y43HkHkk8KONoxI4sgpCPJ2NTvI9ziEdy573uVV1Py3Mhls88ooqSsFRS= VFKyVkfGjjM6aONGtxpmjBujHb3HnUZxlRzWKni9NraLgVdPVa6KThPIIGDcKQ2N4n31LvtsBj2= xmPajVe1UXt9eePr9/u9Ph7tevXxE4Tjnn8+vuq0C3mT54t1BAAPQAe+wH++DRo0aXC4+OTlqp8= U14CV8N6Oc+MNznp2vVzGOVzV45RVXlVRVa33qvuT4IqZDVLv7q/wCvr0hHiR02PPkd+/cA25XG= A269N9+njhknXb1P1XRX075N1BSttj7nNxm3xqpBiFbbRsesbSZkdxGporQWx6q5YBwiyWK1qQS= uKv8AZtViuRyRkWftjN4KSqZd3Hs77CpheLNRj5fUhhiSHFg0jMgMoI4NuzGllfBKrY4YY5Mgso= UoHhNWMdzF/wDbtSJMb2dW48iFHNKmBzvak0WNHWU2RIOzOKpwQx1glBNSQV6NYFYhwyEI5qgKw= iNcnNfkNzjU7A5E+bG6nMTSlx3cCNPh45me5FrBh28rHBSI9hNbkWe2yxYmNSyypV1CkHBMcGa4= Aq6WqdzdFllDTVNMsksIlczyxsS8lwirEVUKsqWGotvYj/fzztJneY0OZSU9NVmCJKCCdUCQ2Lu= 8wkJeWCYkkKtlDKdibna3Zp0m9TdL1J9MOBdTBcaNt3R5niZ8um0FhaCvCY7BiMkFmtkWcatrGz= EjhjEK8gq4KqjVRBqqJzv1R1LbEZBVEuKjdTDpFeOTNhOlkuIsYbJVc7smDekp4XN8BfVz3NQaj= VpWucJzXqwP2TdfNu/ZTbB1NYZJFjb7NWdfAkyuWMNNnxbKPFPIUzXq1hDFGQqla/hHO72u9efP= l/TlvrjgSXe2cLN1JZW7iX+3tdn+HYlhk+DJqpQZzg1WOVyQ5KPbGBDX5QCORNU0dko7+THFSVK= LHU1EaCyRzSIgveyq5C/oB7+fhja5ZM9Tl1DUStqlnpKeWRrAankiVmNlAHMm1hh9eadUWze1mJ= bvbibt5vQ7Y7c7KXVRT5jnmZ3FdU4yxbrD8MzCvlRZxJCoUcsGb1NVDiqxJ863aSLCjSPFjOMhG= A+1N6A90dsNzN4cG6mtv7nAtm4cay3RslJa19lhFZNeg4Fnf4za1kLJ4VZYPciV9i+n8lO9VinK= iKqMj69ekbeXqM25uibQY3j+ZZz07ddPTR1MV2zGdWgKfDd9K3aXYjaiJcbcWl5MASoCs0kuVIq= 7CxjSKdmQUYRTBjX+1jss3+9n/wBZXtGc46ot9st2Fx7oumZP0Q5D0u7c7cX2cYlleVbr5nZZjT= 5vFyLcSywI83HqrFsfNRCpMc8zKmWbPlI81GBjI+OFnE7HRhc9VPT/AI7m+Obc326OMUuZZZttb= 7wUNPaSyQXTttKEUY9zmCzJIRwI1PXBmRiSTSpQHMYVrlZ7+GwYX7Xf2cW4fzhLhvVftnej2ux6= zy3MTRpNqMETF6aSOJa5DVGk1YBZNTQJBRjk2WMut4g+9rlL2qi6hl3A6EOuv2hF9kGRbubLxOj= t2A9B2U9LGIgv9yMXzyVuHuHksjHyzrUS4NMmpU4E4ePeAkixIGykhnK0kJiMdyteXbf9dW+3Qx= uv0fW/s6MW2TvKLpZNtFjm4kbdraq1rspy2oBS1kKu28rqVvynDxnIx15bWVJyGXQeUc9opEeSf= l6mDHRhjGT0eY43SZdjdiG3x3JKuDd0lpGR3l7Cqsow5kGYDxGjf4UmMUZR97GO7Xpy1F1lvOxk= 55I1O3nnlzfRU59/0vT3L6r6ei+ukc6dsSu8H2A2bwnIorYOQ4ptphWPXcNphHbEtafH4EGeBDg= e8JUFJARiEER438dzHOaqKrbsh6Osnt5eRzYm446t96XOWlitrpsutlw8um5nYQRzYJLMbBWWNy= 8lhPrLmE4UlI0OfBKN4JsRa4wYfkthETlfGZwidyr3N44RVRV/ve7lrk5+KKnvRdN16iOqPbHpx= oqiyzU9tZ3GTzH1+I4di9c+7yvJ57EYpAU9SB3inYJSCaYy8MY8wQsQkgwgkQQfRbkDcgyy3Pn0= I9dl+IkxY1CtfOFAxhJEW0gyrDFFbOfJrZbWz23EIsSTCaHInTbAgnsPHFEbD1I7OZZt5n+ymaZ= S6Fe4njOzjto7bOwVlkGhxXIj5LCkzMuuYMKwZKog5ZQNm01pcgsReVm2xyEmChue9kWtkmigZ4= LCTUihmFwgZgC9iVB0i5sSBtv3Y0vZLLstzXOoaTNHkFLwKucwxSrBLVywQmSGkSZ1cRmd7BmVJ= JSissKNKyAvk2C6xsL3tuGY+bEs326v5QZMilr83qUhR8gFFGppgKe1A4kCVZwAIsifUeKyxiAa= QxAeEMj2u++UIv8A2ifrb9Xv+v6ufX4fXqOjpu28rcsx/NosPJIDjrSMpKS5iWFbf34Z8pp3zc2= ZZxhxpixpsjsbjo7hjL2uhJNhJLSASImtlyTpAy7IYMqEmfVNB5qqx6Aw1FUWUctfMx8KBk2le5= 9u/tPlaKrskZIQvmfCjo8kvsIpFpDK0KmV9bHk2kKSLD6wBO97921hba5j9o4cup81qIctppKSB= BHeB5XnCyMoZtDyokwFipKya2D6gHIsA/JLCIvuMxeOP99nHr7vXu45X6k966q89G/7Rvr7kVU5= X3+714+pfT3+i6jeP0HXcaul1FLuiaJElS8NnNmToZbKzAbF6yTGljEfxYrwAuJ0hZBmRTx2Ro7= UbEGCaxk9M9cdF2WWYyeV3XLWeYtR3AwtgWUxtRL8pk8aaKknHumWUaqtC30eXLqiSXMAePMdCk= x2yQMiScUWJA/PRvf4jf2m/Xzx/venuX3/AAX4a9HeisR7eVRzUc3jhfRycovv4+v/AOOmTXXSx= kF1Iv3fL2MU1fkVZVDNAx6rs60tbcU8fLK8FhWTPlAgxOnRMpWTNeSAQS2EFPHhWEKWWKx1+I0d= hjmI4vj1jZMt7Gjx6np51sKGGtZZy6ytjQpE8dfHVwILJZQPkNiBXwI6EQQ+GMaiGDCc7rdQG2+= yIm2G5l6/HaX5Itrklw+KeaAQaksERIaQ69sq2lWMlZ7HQYUCumGktCdrUR7WMfnNnd5sL3zw6L= nu37shkYpPMUVZZZFiWS4ca0YHtR0yDV5XWU9uavc5ysDOdAHGkOY/wCERjlRi243QlsPmG8Unc= rIFy+fnUu7pBxb8u8+7FdbUKyjSiyiUlfXZvFroTJJSQgDg1sWFAGIavSFwjhmKjc/eV49yNx63= dbGqfFdp90LzbGDtTlVZFMPJsfxCkriONIywjiZPI3AvpElxqx7XJXFY0Y5EGSUz5LXSiFV0MSx= 5kg6RuO4XJtfr3dN8RuLIHOoAIDYAWudtzckAAHpuT3jEnyuRPj+r7+NfEei/FP0//HULmcdTPU= Ttvtti2dn3Nq8zkbz7R5NnUCnhYZVBNtlc1gqyyhBx5kMxj31eyJYLVFjXzJcw9oFTsksaTyLNJ= ndXPUXGpp2Oxspzzzy7mbKY7GtL7aOoxrdp1TuBil7dXrarDLMAKm0rXTK4CUt4SriteJkkKsku= H5hyiByLgjnzAO+4vz99v6cxhTUINiGBttcbcgeY9/v/ANp2u5F5459E515VnxUVUUrU4555c1P= cvCp6u9/Ppx7+fTjSVbHlySRt9VSMruMuu7mR5op5WcUNLjWSMa6SVBgn1NAEFdHUTEawThs7iC= Rj3qrlVVRvJeijabKLi6uJczP4Dr6TfS59dU5vYQKvzuRZHDyqdNixWDe+HIBbwo7oSxzDHGgNP= UoN9VMmQpLJ2JHdh9TcA94B8xh262MREVVM3hFRF+k33qqIif3vX1Xj0+vlPei6FsYiIiqZvC+i= L3N496J7+7j3qic+7n01HduH0pdNm1FPPzvOsy3HoKVttRHl2LsrMSLFsY+TMtqNQxYlOVkUfys= YADBABkawZ3PtRy5MqZJkJximKdFdU2go6ncTO7FsMTq6vrrmVY2zbFGXzpTGnSwxchZBY9vSK0= RAkE4TWeCiqEzEchvbYXNx/UX6HkNzhTt8/P67Ykejbv7YzLlmPRM5xmTektJFIyoBcQSWK28UP= mJNb5Rp1P52OD+2NH7PFGLgj2oxUVd8SfGX3ERf82//AKtR+RZPT87Msu3kjbi+NjeSDnUZKWup= DoldlceskQbzIIM4EYtgkolMF0YnbG8sLyyEQjl5aushtekWtBOk/OBnjxya2HT2Et8/L3DR1fH= kSYxnuBWDjw7VsZSF8QDAOKgWOcNyt5WHRPXOs3p0UULrPIkIibWHgUnhys2trM4sStlt79sPTC= EMnAd3UxKzmRQrCUgFkAG2lTf1rm+23PElSToyqiIRv0vd6t9fXj/F8fT8y+i6+tmx3uRrXo5yr= wiIrVXn4cI7n3ev6PXTS8U6fNns0rKjO8atsrsKy9C+6prJL6QjHxLe8gZS4go0uKva0lhAjKxZ= AFlBjI+M0jEculax7ZDCcauKy+r4s51tVHZIBMkzyFIYrMcgYsj5nag0mKtVWxv/AN5QnbMR8sf= YR3pNwzhXnnGN3a5eFXj4cev+eqHSwt97v1Ki/H8/5lX4cIq/UuoyvaP2maVcTa12HWOUVzzysn= bPdjUy1iOK1gKby6S/kwg1e1quKovGVUbyRWIi9y6QTYXHN3M4westl3EyTHbCkzC/DImZLcZhK= V9fMpqpquDVBAVJsmKrDPgHl2cSNAKQhFiT2FKLXmcP0jRy/SPUfR6MlrVkgpPSv3yXvRt/2cVW= IgnCuXIl4f8A6n11ItirGZg5o2W8CQFYxIZzfhm6hgBt3G3PmLdRiaMd7UFnSKwVhEJZQwgkS4D= JAXTY0eSr2xzyIqEUwQnURECQjGsKo3oxXK13HtWWFPeq/qT79RYz9k9ybaDTgq9yzUnlxYrEua= +mzHcMy2RKgFk2dPdlFvSz7IRJcqbHtkjkhGiqZiwyK0SNKvpLstuHWyfMR93LG68xZxpWQUlll= 244Yt8OHaGkihEsYQnSaQTYBxMKakiRByDA8IwPCdy30z34tPnfEovmw88dy+nv9E9Pt18WbHTn= l3HHHPu9Ofdz6+nOo28L2tz2osMslX+5c6/He2q+Rhz8lzD5KUclZ4oBWR1pAnqpNa6ZHYFA2Uy= NPbCE8jYxGIRVDHhNhBlAkPz+ynTUyCRLsAyT38eCsbsnrBGFXwZiEmDbMa44uwQ3jjgGEo1G0j= s1mOb5xS1jU9H2eqK+nURk1kdTFEgDlFOlHRmkZCzakUFgqMxsNJaFNU1CSFI6N5UFv4gdVB2HI= Eb73+dy+NkoT/7qqv8Al/mn1/WnqnxTV5r0cnKenP1Lwi/q500rAMX3OrKexrsdy+BbtZaREFZX= hLckyNEjY1HCCv7bCAfzAkszDlllo9hpUCP2csmyiyAq5hdJulAs/M5jk1Va1z4fh/J8KE0RAye= 4nBPNNixVMqDaBpXKwYyFdIIMAmOEINvl1TVVdHDUVdG+XzyKxko5HWSSFlYrZpE9RwwGtSotpZ= etwJELvJGrSRtE5G8bEEqRtzG3u7xvbHvz/eLbXa0cIuf5ZW4uOxIQMF9k4jGySib3EYNRjInc1= v0uF45T3evHO2UWU0WTVEC+obAVnUWkdkuBPjcuBKjk57CjVyNXtdwvHciL+bUYHVPjOTUO61jm= WVV8zONs70kCPX7cxstsqBZtpGx61hiyLxokiPGalFOlRzrXzJAEJylhDHJmwwiVxHSfg+fY5g9= 7Oy67fefhPDppWPWBraZZPZEDXzAJFcWwRk5qwEJGgLKliFInLFWaRHOKqrrqrKaaHKIMwjqw80= nDJQtGY5GktrhiVf4iy09yZi91Ybx6rOI8xRZ9XVOf1OVyUISmiMqq+iUSxiL6s8zm8RhqOUAQB= 734gUaC7zHTY7W97nojOeO5Vaic+7393x9NfUmx3L2o/lfT09PrTlPr+tPVPzeuoCNzenHrK3E6= XNsdniRxxsz2v3rl3lvZxt7oZpG4+DHTJSCMWcLIKKSJY57SvGlJc2w3NSIj2I7whsXOu6S+r+L= 1R49u5Qb3CjbM2e723d7mm1VjuFNeCNieC7CycQZZ4oQM6YCtnlze0sw5TQkdNgXYQ0F6xvm60x= ZOfxrMTtpLA7ntd3cKqL29q8KnvReHLxxq0+VDI1/e5jmj/v8AKtVGcf4vpeip7+F93v1EF0GbO= dSHTnj26eObhS6+5qM13DqkxfI8j3Zdm2d0dTIxu+He5dkdnItZePZF4V9HoItPHpaLDrq4HLsL= C/pwGiMeRrVN0S9W8raTcrBA5rEwrLMh2RxzbrJspk9QOZ58Lfjd+LuJjt9bb/eSk3lbL27inx2= ryUJKKpscds7MWXOx94YdfjlTK0YMdEKkgoqEVB/SRGNe5WKioq8o1Fc7j0VPcnu4X6tensB2q7= wxdvCqq9jOOOOfh8Nc6mTdE/WbB2n2exenzyn3AyLCDbsQZ1Pd7yZ3Q4vj2UZFudHvcL3ArWV2e= 1WS3WM0uFw5dDW4rd5pbXWJ/LT3RW3RoDGOn8ohWbsIgQ7OREn3gcZjQrWTWPOSFKuRVowWBIL5= TySnRyTmlWOskpJCjc3xnuJ3OVRuQCbAkb93jhGJAJAue7GfW2qQuYPzcYbyo5RNUwmKVrPR6jR= Xp3tZwvcrUVG8L3cauvtq8ScllBGnZ4nJCjYnZw5e9Fc9EVnDHqjk9FRjl54avEVWNbY2lPVXlf= uJstleYZnb4dYwNt8kFj77gOGq+BkYDVrrLuRMSkkmSWSSK98Z1m2SJWPO5UY1Fd0un/cHCIFBW= ut8yzSwy/CazHaGBcDLPLWHr8T3VUGFwa5knvtTVkebDWcQj2zLI0piyCjUw0bdRZXTSSCI14Um= 2lxErRydXZGWY2RBcHXpJINrgHFLJmlSiGQUetRYMA7K8ZJUAOGTcsSSAt7C1+8zdrd1SMGVZ8X= wioqiJ5gPhlRq9qqN/idr+F9F7VXhdULf0yLx8pQ//eQfq/8AOfV9fw4X4Lpj9Ri92DarbqBV7f= zJEmFXW8aXArsVlbRArjOmM4e/DCLbFiJJR8t6qSU/xiIycxiqdvhWq/FMoY6xNJ25yZj1kRCQo= 4sjIRkkSigrMaVhYLRQUjuGYYQp47ZrwM7iAjypSPaXL4irMZzs7qLcK7BX0g6GlVxqBBAZVO+3= I4STNKhZAixRWKo1247WDKDuUjZbhrjmOnXD5fwgpv8A6yh/+8g+v/7T/X+aa+/L9MnHNlDT149= ZIE493xInp6+9OU0y6diduOfGJV4Tk5gvHGfNeW5mASIWVGeSdHBHWveErIcpw2h7F7Shc56Eao= /CJ8Skym5JVsu9t7yCIfkgSzU144bghitQSncxlaF0kxPR52I5oyp38t7uWPVcvhIB4zabEn/0Q= wsRyTi3O1+t9xthv97VN9PDpwbgA/8AclelyWEQAt4nfmOVsPS+Xqbjn5Shf+9A5/UpE1cFcVsh= yDBLjneqcowZRkcqJxyvDHOXhOU+r600x+Ti2URpc2LW7eXM2vU0lAzbC7k+ZUas7QuEz5Oc4Ln= 9zuW8p4CtRyd/9zSkbWRMoh5L5a3wiTTVkSLLBBtz2D5bzNe4JUfJC6BGUZyvV42q4pXDGNvCr3= rpuagjSNnSYuVXVpJiUkG3QSE6rm2m+rrYDfDkGZzyTJFIkADMFunHuT4aowtvG53O18Nx60Paa= 7Y9Kef49sHjuH5TvP1PZ5j0jIMG2cxp8LH4UivHFuJYbTK89yF0fHcaqztorJscYnWt5PLFWPW0= ss5BtdHTsx7cbcbAoZsi6/Nhce262utnbW3FTvRsJf2Gd4zg8DfGhvMv29xfcrEL5kDM/liHj1F= PJkGQ4ZGyGviEiqaZTVsU4ZDsf7SSttKPrMyncx+I5muG0W0W1Rsm3LpqZuTYzic3CbbLs2xt9v= Cro5L+hua+xE4tRasclLkcK2t8Os3wy2UWaGJHZ7fPAOsvbvcam2M223jv7DFYVhgs7BpGIVVjf= vx+y2qDt3+FlVYIWwxGgHEwbFLjFSZFlZosbb6LnWTzhgsbqfjsSRXtO0M0cCZLU1lJpohXV6xT= ycBqskIy1MbCGnDSLpjSRZdRUidUBUn2rI+zXZGsyOKXM85FPnFdT1ktKoqI1jpHpXBC1EekkiS= MWZS4ca1dVYjhN2u23UZs3QAo5Fvm0GGDJaeiv6MxI1i8dhU5MCXIoJIHjiPbzbDgyfIx3qyQcr= GhYJTFEx+rO6xOnFjgNfuZVj8yNpI7iwLkQyteyaRiMI+uRikc2vmdolchVWORqM7kRFY8k3BaT= /q92G7EfHJW2o+mPamHfw7CJOmT/OFoJB62SR0ErECkBYci1jy5LP7CBV5CaG9pWEVFDl5d7Oqy= FBnTIuLIJkOtHDe6FlUNGQrJkgFeVQjUKKOc2xlxfMlG50lZMiOYj1V7UmCnisP4dVISTdoRGyL= 61gpNtmsCSN9rcseZHYkXBsSLi9jY8xcAgEb23tyuTfDsonVVsJNGhI24dU9VmAgIBY9mOW6RIM= scKthEgtlujuKjmrLaBYrO17nma1jlT1531O7GbaWw6LONwaihty1wLYcAw5siQ6rlOG2PPRsOL= I/2Uriia0yr2dxGIqork51bD+n7pjyWoo8pxHA8bsawcgkyjtYcq1e1hIsg0UqAKth3qEMkBgrF= eqxmq17fB4VecTuv05YluHmQskt9xM1x7wK6NCjY1TXcCBSBWMJBRpbYB4Rnve3w0IrXPcIru5j= xqNzmaYQ0jTBD6QkYB169AfVtZQFVrcze4v0sOZTHprOuLpbujni1G7FTZSooXSJEaDW30qQEDP= F7zECGreRoxqErSPVvaNzFa9Wr6a+p1w9LCmdG+d/HkltkuhuhqG0bNbJYgEcFYboKSUehZII3C= i9ZhWQm8y3IHSXReifFGzBTSb57zzfDVH+AuUUAWKio9UZ5qNjo7IDXOMQjmxpwGuc9UaxglcN2= crekXCYtC6jdufuHZL/beXtZ15USJ4BGJXPc0L3Vfb3CSHJZHe5qq1txZiIhI0lQI+wy0C6vUkn= SLW5crm/BFx3iw8D3GHDYJvvtVube5BjmC5hByK5xYESTfwYQZiPr4880kEIxSHjBE4cokSSgHB= IRCoF7mK5qK7SuNcj2o5Pcqcpz7/8APTGh9JVQByFhb77yVVi6Qpp1pTZTT1k20L4sg8IdgoqZw= DBhvnH4isCMMprYfm2GdGa5z0aGvdVUtTVvnTLR9dXRILrKxeMlhYOiAYBZs8gRiESbKUfjynjE= IbzvI5gxtVGJElEaspidmUgCzIwa9huSQBYm9hbr+eDGW0aNGm8GDRo0aMGDRo0aMGMdNtYNbGN= NnyQQ4cYbiyJUow48cAmf3imMZzBiG1PVz3ua1E9VVNayu5G36p/898RRV/8A9jp/d/75/l/z00= 32kJCx+hfqkNHKQBhbPZa4RQvcMrHpXuVFYRio5rk9eHIqKn1LyvOuFDbrbbcjculvb6hydkSFj= k6qr7B91kcysG0tysgcBBHeR7HENJA2MwKIjnkKz1RrXKnsX0b/AEVU/bzJs0zmr7SxZBT5ZmEF= A/FofSlkaeBJkfX6TDoJZxGqaWLEXBF9/HfpE+lOp7D5xluT0vZ9s5lzDL5a4MtZ6OYxFM0TIF4= EuvZS2q6925x3VdaWzW1vWVsNkGxVzvTU4FDvLbHLkeU0Fvjtha1k7GbeNcQSxo0yzBHerpEYaK= rycNROUR3u1EsP2Km2QJdtLi9fMuIa8j2obPyeB7OxRSjXlYtTcTnxwWAwpY2UNXMmTmi8c5XuO= 9zjKhGwGR+ljqLkDM9kuMxYsxtbLZIzF8Z0W1ekR7KsynIxnnnjmAI0Q3varHc9/KKmvBN6b97Y= NclqTI64kJbV1IySHL5BIZbdvisWsFLb9B8/zQiQ0i9qf7Q3tV6N9dei0/0H5NTDgU/0qZZZn+q= uVRyFXYIN71zkFja24vzFzy8vr/pgqq+Vaut+jOqkkRFjEjZpNGeGuogWSCMMqhnG6tYXHPn3Bd= MG1G0vTH004N000e8FVkFJg+JGxOLlMjIKCpvJQDCOJZzGQ7A4oU0fjqQBAvIgSsYROVTjWUx7b= 7bigkKZeofLLULRnCGFabpUMiKEZo86MzhGAHII8QZrlaQkh7/GDHOieIJF1wOj2+3qIKQdsHJ3= gijlEPJDZnkAH5NquKx740wyoZVTsYHt8V73NajPVVSnD8D3izm0WloAZEay+TpNqOLJs5kMxYc= WVDhEcwciQ1/csufEjja5rfEKdrWqvqqS3/ZqoGWeok+kfLyqXlqJWy+MBNVrvIf3kAASSATsTY= Xw7B+0TWwLT0kPYKpRQiw08Qr5DdUXSqJ/2ZLEBbAC527hjvhHt3tkNqC/6wuXvGpSmL4m6tGvj= EMJWuc56RkKNEM552NE8bRkciN/smMG3IMwfbFoZ4S785DKZPlQZCIfdClTybYEiPJGGEoBgUIT= OA5khr1I4wpBxvVzVYg+D642K6gaGwgVlpDuIsmxgW9pHc/ICeXSBQNjEu5JzpJ7QjqxyhEmud6= CZ3uRXI1V1SbZLfMEM88pTsjRfEdLIuUF/wBkGEtqI5ZP+0cBEBaS1eV7l4aKEd6co1EWKP2cco= 0o3/iVlhWQXRhlyEMAxUkEZlYjUGF+Vx5S/wD4hc5BZT9H9WrJbUrZg4K7K24NEDyJPutju2Zt3= tiNz3t6hMu5eURER261I7wxhEMTIo+4K9oHIxXlVeTke9znmXlGpdtsD20tJzZydQOV1z2vUng1= 26dIKM4jo6RnKoCgOzjtb4vaieH4zlIjUVU44KYu1m+E22raQEPIVsbiNBm1gnW8lrJkOykSYsK= SErpHa8MgsQ/huTnlrWv/ALr282822y3q28hHscujX1ZXx2V73TluJJY70tHvZDQJRyXNe8qjdy= xOCDRE8RjVVNOr+zXljyxQJ9I2XNPOBwYly+MvKWIChF/eVySbhRzO23c0f2jMyWOSZuwdSIoiR= JIcxZVQ2v6xNEbC25Ntsfo0UFpSLQxmVmQRrmDAAOK65SyiWDTOjtaxz5c6M5I7pCrwplTs+m7+= 43lE1rk6N52sq4YNw0hyINwCzkWAZNW41jFEUryVUgRCOY2JIGXwnvYrTM8Mb2uVUcjuZfp1tb5= PYQdUVhX391WXTZ2Tgh3sCzmxbivcfMsYiqaFPAccqOVgyvRrhGY7tVzUVEcqaZ4D2Tlgfby4zB= /XJ1SVx4uFXGU0Szsltm1OSlqKORZFDXyx5QqsY+TGeMYzNac0RWSwtex/0fnntF2fg7PZ9m+ST= 5kjnK80qcsSoaEx+lvA+kMkYd9LOtzw9bkb2Jtj3/s92gmz/IcqzuKgZBmOXQ5g8CSiT0dJQDpZ= yqFtP3tIBuBzx2gsNBbdSrV+VxSRz1kKAOqdPheSAeLJmHNYM7TeI48sckEcrV+i1kNit9Xv41c= 1Ow9BjVPI3CCc9NPgSrixM6oITKYkRS+arLOOR6gHFsmkaySoU7kaNEYicrx+ZTlQdxMdjOMPqS= 6hpD3dKtF1ACY/Pb9qJfXl/UUo8eIqZEqrVA+V2GdMbzLJ4KsQfDk1rfULV9SGw+K7K5PJ3/3pt= A7l4jIkZEKRnOcwfwU3GqHwp2R4MqluG+ZJTUGR4hMNJRUR8uymR2cpEVVjpkRcqPTEtIdK3icB= mtcAg9dj3WI68sT2zYpdvRmBSzFg63WxAB7wQTa4332tj9P6joMbxu7srKivaKqrLGAOM3HqwNF= X10WaMjnutGeTQBCyzNd2GQ/e1zWt7exUcr8iAbEq6yBLz0cuXAs2Tz2SSa+OewjslFOtfJEMqj= YBwyNjdw+HeEIa/Sf3Od+Tk7fffJMObO+endzzSZGyOp/nKzTxFjrWySKLn5a47O9rX8cc8tTj4= amj6OMLl5BsnVZBuXunu3lUnPn4vPlyJG5mbwpuPwLG5nVSx6iYC/Rw0koBCOIQbnI9v0fT3+d/= Sp2oy76JuyFT2wzmOqr6Ckr8voZKbLo0arZswqoqVXjE0kUT8MycRkMisyiy3ONV2Ny2u7c56Mm= pGSnqJKOurfSax3aIrQ0zVDiRkR3GsLpViCL8zYY787AgJob0IM2BAfbCjihmBJrnPqHBEgyFiI= QitKslfpkQqJwqr2KnCKnidG5TFUbuHx+D6u+UlWTVc5KjoyB7bBEcih7SNSQx0ZW8P5aqORV1+= c3h2W5viHUhv5sbIut288HjmZyxY8KfvBlsNK6jhFa2PFdMl5AB5Dmc5iDcqtY9XPQq8K1NXEzm= 3tbGCeQPe6NXzLs2OtUO+2UiHCmVgbo82uP4GQkQ1hIHRTGRZAu8auILvb3NYj9bkccHaDJspz2= gqGNDnOW0Wa0ZkiQSGlr6eKpg1qJyA/ClXWL2DXAJAuc/VVb0dVU0c8IE9LUTU0oDnSJYJGikAJ= jU21I1iVtYjfH6Njndz8mVc6jIO7j+DVjaatauOESvWF48JyG7pDnGRk5zZKORJPejXIN6MZsUS= 5qwxYwZF7XSjhAIZZCzIY/MFYNrHmUaHcjFI5qu7Uc7t545XX5lu4+KdRN5TQl2sy3d+rso9vcH= szyuoC8nRGU8ahgHjQGK/IGGfL89WZJKaV42Oe1r4/CeArtI5Vbc9c1uOC+BvDnshbGQQQmfPZk= zFDHFULdvsDOdc9rYDa9FI+QqoiE4CiK9eEtxkYI3rIxvyaNr9OeksO8jcn/eJ+9ze3o7Hus1xb= bwG/Py623/AEdsl6ZrjL92pe4Fb1LZ1VUsyXAnnwKqrMCnCjurpSSUZWX56g1vEinVWxzNlNnkZ= F4AAwXIwjVgm9POyC5o7cmzw6ufk75grOTOmWVmypl3MeKkMV9Nx5Z7MYlXzIrUElwepdYINrUb= IRBj7OLX/o0e5e5+V9eu4eP5xuLnWXQIGxWXPWtyTL8hv64U6JlWKg8yGLa2EmOhmclYM7RtIjH= uRFRHKmuofqf3CyOyvnY5HNIjU0q0s6dzhT317IUOqrZM2fLUnhoMsgvhuE0LyDcUbk8F7SN+lW= VtO9FPwDLr0op1KCtwwWwItfrtv064nUksdTFxRGFuxFib8rA8+o6i39cOnx/pj6coY781JgtPL= BksEtfOb8sXNvCDVyprbKRXUgZdtMi49WyZzElGh0A66MV6cPGrfTWwZt03bKbiPfIyzCQWEkg8= cGsuNbX9NPF+CI5YsdfHn0trXzIxqsU+WKOeOcRlEd4yvIxURI9OnrNDbd3lNhlJko7SviUdfZD= iusyTilrDz3QzAN6ECjwOKr2ohiH5aqO7Gt40vV1f9RkCVuAWgyWtsI1DnEWTg8ubKqiVd9jtyB= 1pKxy+RnaStLTIJ1CCwI5hByyMOURGIuq2epMAUsJH1Ei63JBVQ2/5de+w67XuWZOczeSOOpo6X= h8Mn0tmjRuJLHCNLKjfVd1LAAkJqfSURrPZwbCsa25oQY1isawj1EcpjCFY3l5kMpCSSKUrn2WQ= 2NpZkar1XsYSY8Ym8ME1jERutx8w36k9eePf9fr+j/v+r6+I9dv8r6obrJq0uSxi1FBbTXUU2tl= jrQ2FO1uK4zkiX0R4yP8AOtHZtyTG5Y2ovZIk15ms8Jjn6SmZmfWRXVmC2U0tjGNKwuBU5GjayB= MC7N7qLm8ZLDy3KPWLXW7sJSSaG8ohMOwQGF8w9UifvFNIfgVBU334ZvYGMEkc+cg6cwcXo7H1J= laD97ZIJAsRAFYWBMqTsEUqhDMrQMjFbqC0ZBZXDYlTmxKyzCobKDEnx3K1VDMjjkhVzVRzVURm= EYrmuRFRe3lqovC+/nGJjGJJzxjVEnfz3cVMD6XqR/r/AGCd30ilX15+kQjv99yrGsDcDrGbkNQ= GVTkjtg2KQywTx69ay2GGs2hnSUkzXEbI8N4Z+5Zo5OwcpqwkeQKeCNXbVU7i9UdvmeKV76+OBI= VrOg5J5NldIxyxiyMzx+XCkebQzzgUGD2NlEarEQhbOsOZGO5ain7xS4XgzhrqLtGQLsVG9tgQS= SRe9ht34R+x9YiNJ+88lZVhaY6K4NsFdhYBNT6tAQFFKh5FUm4bS9bMrbaTbnGrTJ86JhWH4nWN= SdbXGQMqaqoioxFY2RKkSmCA1yI5WMc5VeqOVrOeVRfbjMnbPOMfrcixMeI5NjNtFDNqrWnFV2V= VOiEGjgHiSIzCxyjUbvoKxVREXj0541zae0vwzKY29v4S9YeaM302j+XPObO9JeLZKLbPEz4yEQ= xlyXcOzmdrMotI1i4g/IHeSOjEE8ImOb3azXszsW3TwjqmTDtj7272Y2Ht8Qr918r6Zs9yKDuji= zcMyc02FR5DsxmFUcvyCjbiMaJZ0clQhjtGiMAvKO0qVxepeBY1YRtocCReOh9Uh2huSIiGBDFg= 1iDotuZFV2ONJ2fo86nzEwtXwtU0Zky+rjymrVVLPRUucOghmzSMKxenWE09g0YqjODEOmBpayo= iI1jItbAjsaiNagokSOz3NaiIjBCai+iNRET3Iic8Jq+CyhyhtNFOGSF/90oCsKNf/bYqt+39Wt= NzqBEsqmFW2EdkmLNu6sEiMXlRmE469wyInCqxeE9OefTlF5TUdHW9v9tX0GUOHZNOyPJsVXO7y= RT11ZD8zaUZARfJ/LJUHIQgYUmHCsEmxWqdCGeB3gjJ4b2o1nWbU+RZZU5rVQ11RBSKjSQ5bl9X= mlbIHkSK0FDQxT1U7AuGZYo2KorO1kVmGToqSevqYaSnUPPOwSNCyrqYi9tTEKDttuATsOYxJzO= mVSnEGYaC05HdoAySg8R7uEXgYyO5VV4+pPVfTlV9E9A40ZjfoxhNbz3KjRta3n3c9qIjefz8cq= nHw017F8ewjKdq8f3bpyXF4/K8coMro7jIZE35QDDugwrCGVkMyi8k98aW1VCQPcPnjhqpwi8bg= ZCbGcQvbiIPvkxIJXxWuXhrpL0QYe5fqahHJ3L68ce7nUhWgkgWuEbKJIVn9eIwzaGQOFlSVEmj= fQdLxyBXjN0ZQQVxCnZadZZJAP4IkZiLMbIpL6SL32U2sbHpzxdt81wjHSNBeXNTWGVfojlSGDf= 7uf7qcqi8J68onKJ9ac6y1PbY7eAbKppEGfHcvchojxvby717l7eFRXe9FciKvx9PRmRdtFAOly= HJ7qTINd1qWFnJe6IMAbGXyUIiy56EaonoRkYIBMGqP9e7hURMpS115t0bG8vdKcAF1eLTTqUYm= hC+FKkNFXq5jHqF8hrXtepxrwrURGp700x6dKtiyRFV0tIiMTLHExARzuQ177iwIsTvbFCma1ok= 1T00MdP6hIVnM0UTlVWSS50GzMLqANtQUkjDznx4b2dj4wiNR7X9itRze9rke13CoqctciORePR= yIqLynpV4cVVVVAxV4X/dReU49fevC+icevpx7vRdWld2j+pXe/4L+b9P1/H6/r9zE63rIJO6gF= 2aPiTa6M63kY+2dMsQhn+fjeK9ZDhO5jrHMMaujiY9TlVw2tRXO7dWyIHWV2npIEhQyE1VXBS69= 1ASITunFkZmVVjj1OxYWGLSprkpXpI2grZ3rJhBEKOhqqzSxBYvMaaKUQRIqs7yS6UVVJJFjh+4= WCRO8Y0Zz8PTn0+v9a+/V/UdGb+0JwnCd1tydopWFZHLyfCLDFMfxwXn6uGm4OS5dke2GKVsClS= U5oolcO+3Yx6BNuZkhQQViWpJYQNAHx9fz/2kmIbbGdT5Jtll4Msr20CZNSCtKOVFxkt1kGf0Rv= P3EI0uM+PBXb2xnrJEJyGiWVU57I/jGcHgEEkA7jE6xsCRa/z/AL4kudHaru7hq+vP1oq/Hn1VP= vRONXPCY5qNc1FT60+r9SemomZ/tatmKsebTJmG5ktTic+LWwLiKeskV2RzpVxSVAosaY5wIUE5= m3Y7OKM8orpNZElyh8NHwqh23tGMIg4lnG5UDBMkudr8TFYAq81h3FAwWVXVbGo5cisr6cklbSO= IgMggPizyAKE6IVUY1GIrl8/Mny7vywmkXJtuetgD7rgctuuH9lwPDjK9xMcq1eQjTPIkZrCqVp= EKhPFYrSI5HojuUcir7l9FVFqXDsRI4jHY5Uu8XlSq6EFVfyjUVXKreVcqNajnc8qiIiqqJrSNr= 9xzbo7aUW4MGnNSEyOoWzg00+WKSSO57HrHFIlhEFio97W97kE1Wtd/d9OdRnZj1I7+Yhc5jluR= LDr2Y7HtwU9TAsQSwTpFWKwmeNLgDa6OKlmCg+GJzTkkke5pXlE/kKmFxLMDCcPDw0ONU4kR7Cp= 2Qgp/aDd3scvDEVVa9O5OVXhyqvvVefq4JhjiIVcZpleiI1HeRAnCJyiIiI3tRE5XhET05XSNS9= 2p9Xg1fn560lhKuMR2vLDoIshgBGyPcHJGY3XR2yZCdkeO+2uK4UiSXlAxBPKrVVnC/cb6ltuZI= RRMsuIuIZQEOTOuqCwO47Kp2J5BmGOWhCWgRLAdHNNwPKD1z1KwkuFWmK0fLVRTBhYy4FhpvF8T= G6pynVVK/wAs1r3Kq8qviN4e1efVFa5qp9SprZgRgRRNBHE0QmMQbGN5RrWtRERPVVVeERPVeVX= 3qqqq6RKt6kdmrmTWwazNa6VLt4R5sELGSWq8QCTQOYYjwNFGO89fMCEEh4ymIFzRtdy3lOMZ6t= cCvKuBkFp4uM0chuSumzbUw+YLqOeCPDG4QO95XXMGbAs4TBtc9QSxsVO5F0YMOvWP689qce93C= qiL+fj388e9fj9uLk1NRNmwLCbVwJc+qWQ+smSIgTS650pjRynwpBGOLFWQNjBnUL2KRjWterkR= EXVsV3a29zeaSrxXJq+6nhgAsTRYTyPKGDJTiPKK1Rt7BGVFQTnKniK1yM57V4iC9o31TdWWxu7= 9PQbKMlpiU7A416V4MSJeiWwAfIR2bllsY/t8Hwalr4/95FMzsb/a86r8xr4ssp/SpY55EDqhFO= hkkGshb6VZTpAve35899j2E7D5l9IXaGHs1lNXlVFWTUtVVrPnNYKKi0UaCR0aYxyniMtuGoQkl= diLYm3ao1VOEVPVE44Tj4+v18L9f1c88aueAq+qcfFPRP0p9f59Rcx+ozqRqML27nTsa8xPstm8= LyLJp0ugKNgMzuae3m2sd4xdxASgmgx3jr1GkcYEmqYjCMAMm0J1Jb4tymbSw6CLd17W4iGJMj0= sprnPtYu1ppsxzhCRngSC5bk4GFV3giJTNaNF8KQrXopVdFcBwHVXAaOxAdUcAgi4IBsdr3Bvfr= mq2hloK2qoZHhkko6qekkkhl1Qu9PMYWaJ/VMkRKExuAAylSAL7SPLHd6rwz19/HPr+tP+Pw0IB= U9U9P1ffqP0HUru/NySkbWYb8p4hZPpYMu0FU2IZMGbOBtxHmyHBMIbnxYd5kWRVsrlqLH8mh07= wxDP1IU9eGOd7uE5Xn6vjz7v89PIQ97dLDdV7h0IPd4d3LEQqRbVbwsx7gTyPz0x5/AX4J+pPv0= LHX3+ir8OP9fZz6/pXTaMq3itpN0WrxC8wWgg1RjusbnM58gYbJ0RVQ0CpHFGo3KpEURSvMphK1= UEBzvRb5+pHGanZrPt2bcb/KbfVljKtokRpUSfNixvEgwap8hjSkJcySRYkFhRtN40sLCjRy9uu= 7W3vbv2Ucu/b53vjmw8dvEnf8zj2bhbIWtzlEzcjbzLDYfnc2mh0VxFsYQr7CMxqa10p0GtyjHz= +HITwmzJAQWVROhyAsM5ZQLIYxx0afsD0Y7hYdiud4LeJtxsrg2a7l7m5pktDsRAYK8zePnmYXl= 46JZ5TZVUL5CqRVdoKoDCgVcuyHXiYCLYUrgiaiiYz7QrZW+xSkypsTLWw5+FV2X27wVDJIcbl2= kOVLhYnakdJjkZkkh0M8UcMcdw2SuwcgweXqPWL/2l+yVMAE1aTPEj1uTQ8ezwsykBCDt+pcoyn= GJR8gd54quKI+E5VJixq9sx0sNSva4bjj4eWrkWMxK/qto5jcaCdNtgPVudNwQu2mwwtrfPn4b7= X23sO7Dvp+wu1FzApa25wipsYePUdZjNSGU6UVkaipgeWrK96JJRJQYcd5wCWV4xEDKmBV6imSm= GwjOlrp+HGHEbtXiyxxIjBidHkuYwTPC8MLe6S5UAFQjdHBz4MdyK8DBuc5XNkq/aYbE5FBr5mN= UG6l/54wIhgVuFHearmzpxYFVEs2lmCQJLUg0LDcJSjeF6Pc9rmvamx4R7QjZLMbWjqoTclRl/Z= 10CPcpVNdSQUyA09uMvtZj5LCQyXUesmyBDZHN4DQqwzmuVE00JmXZZpFG2yuy77b+rax/UX2tg= w9bGcVoMNp4tBjFXEpKaE4rotbBY4cUCnK85kExzndqEMQhXIi8K8jnccqvNdhjNJanSTYV4JR0= a1jSkR/cjGqqtby0jfROV49NMBP7TXYGdTZDNxSLm+U2NDbT6slVCx10QsgdapvM3ApE6RHjrTs= SOZ3mkI4nDE/sOVTTodleobAN8YqlwyXKOcNJTXk6NJC0b4YbthljBK5r3p47HRzNeNe1eEa9Po= uTXAYXvqJY/aJOo8rb8yfHn47YMKoLDscARpA1YBva4b0cxxk5cJ6PYqp4vDu1zUVO5FT0TlFT0= 1U7D8ce5XOq47lXs5VVKq8D47E5Uvp2oiJ6JwvCcoqaaVuNvPv78+uY7WbOYVt1kMHb/AG0xDcG= 6bl19d091fEyq2yiAykoCQYcisjSGCxt3hSrQgweYlDQqtE17kSTIPaO4DW5N05wIEGE/Gt28fw= 3K9ybm1v62rnbS0O6VkHEdrzTaw52mtDZFnhi1M5sVrmVdRXWF0ZyRxjV/d2++/wDO3h4+HztYx= IS/DsZa5zlqQL393KI4zfVysVe3gvoqq1vq3j0ThOE9NbKJ7EaxjE7Wona1PgifV7vq93r/AJ+v= OopKPrt3Qy7djcza7DsR2zym6ocw6hcFxnHKzJLt2VY5Z7LNyJlDkG6wPJOgUOLZ/Nxx1ZVy4R3= ymz7qpEMJhrKeJFen72tt1uBtvuJkG5+0sbEc9o5tZFwDFKa1lyYuWpbZFDwsSWEyeEb6dYmUT4= YpRXo8RK2Q2ZHUnCNWwiyzMKrLcxzeGPi0OT+jtmUxlTVTR1D8OKR42YScFnGkyIpRWIDldV8Rm= qoUrKShJb0muLrSoFY8V0sTGpAsZCDdUvcgGwOJzNGoz+i/r0kdSmXT8HyTHaKrt1qbK8obbFJd= rJpZ8aolx4dnXzA3ceNYRbGP5oUgJWjfElx2kcN7Ht7Vkw1S0VbSZjSw1tDUR1VLULrhnhYPHIo= JUlWGxFwQet7jFpXUFbllZUUGY001HW0r8OopahGjmhfSraJEaxVrMDY9CDg0aNGpWImDRo0aMG= Gb9e+H5Pn/AEd9ReFYbTTMhyrJtrsmqaGkr2MfMs7GVCcOPEjNI8bHFK5yI1HPair9aa4tqjoV9= oTQ1s+nptiN1a6rtJUCbPhxo9ewMqXVFU9eczPlDhz4hXKQC+na719eETX6A7wuJx3Inp7/AF96= IqL7vd9Sfq+Kc6udjvh9qffr1HsB9K+b/R9l+YZbQZRlOZ0+Y1sNdL+8455CksEUcKBBFNEo06A= 4cgsG3Vl3OPLO3X0WZb29zGhzOtzXMsumoKR6OIUPBAkjklaYs5kViT65TT9Xa5Bxwi2/Tx7Ui4= jQ4sjZ/dMAIYXD7IVfUR1lle8D3TZyrOIsif3RxKkt3BkRiIjkRONatF6SfaYw4T62PtDvEKvfK= lzvJoKtcBJk57ySpSDfNc1JBSPeRTpwVj3OcNzFVV13x9jvh9qffr54a/4U+zWzj/aIzeKPhx9i= uxkaFw+laCpHrgghz/3O7KSSCdwLj3Y+T9n3LJWDSdr+08hClAWmg9VCACoGi2kgWIO1gByvf8+= 6N0F+0EhBUUPYrd2KN0h8pWRXhA1ZBV5Id7RWrEIR/r3Pfyqqvrx7tZXHuij2jWK25r+g2V3frb= mRDfXlsgpDfLdEJIjynA8U1k9zR+YhxjIjeOCCG5OO1Nd/vY74fan36Ox3w+1Pv1Mk/aZ7Tyo8c= nZbss6SC0iNTVbI63vpdTVWdQT9VgV2G3O0Zf2cMhVo3HaftDriYNG2qlDIw6oRGNB57ppPLfbf= g1ldNPtR5y8zdrN5ZTvCPHa6QCpKrY8pGtlgapJbuAzGsaksacMko1rTte1qImGjdJPtL4bJbI+= zu7zR2BHmnCfHqyCkvfIs5b/GGSY4ZGPNc2jnDVvYqTjsVFY/tTvj7HfD7U+/R2O+H2p9+ow/aM= zsCw7GdjlBN7ChqQBdi+w9JsoDMSALAednz+z1lLMrt2t7TMyiwZpoC3IKdypvdQQb32NumOBxn= SV7TIcvz49ot42zEiJBbJRlchQxGuG5keOvnv8AZxjUQ1C0HhoHtXw+3ud3Ya26KvaN5BTMx+72= U3fs6Yb2EZXzfJyI6EGZxmP4LZOVXsK9xEcrlXlff79d/nY74fan36pUSqiojUTn9H6vf9+nF/a= R7QJIkqdkeySSxlHR0o6pXV0FkYMKoEMAzWNwRc8iBbhv2dslcMj9qu0jI99aGWn0sCFBUqYyCD= pFwQeQ5735ven7pP6hk9jl1DdPMjbi2o95czlZMuL4ffFi10qcU2TUNlDcp0OUARHDDM9j3kReG= ccIqppl0zB/bhzsDNgRejfZZ1SbDXYUOQtxHdJj1qUy0gZMdVs/DFYAjL4gpLWoRpkV3PDntd2I= JHXlFVqc+iL8OPhx/wA+fT3cLr6oe1FX3IiL9aIn+v1a8RzzPm7QZxX51mGWUElTX5rNm/DZJXj= pKuYkk02qa6hQxCsSzD7xx7TkWR/9P5Pl+TUFfVpBQZdHlvEBjSSop4wNp7IQ1zzUWXa9t9vz4o= /spvayrj1DTWPS5hFvOosMo9tXXs3IKlbC026oMuh5jBxKxG2UkcsdZ9fEgSJyNSWamElc53hqq= 68G4Xsnva/7oYPk+DZpsNU3ULId2LHd6LZTMtrJNpjl9bRZEGyrMfOaW9K+inxTjZLrxNQJlgVi= uaiwQcdmntC9893enzZWDn20UVprT8LYVLayi1VZaQ66LaVNuyrlWi20uDArKYmRip4VlbmkJ5I= UtFY1xCtREywHq93rHsRtLn+Q7aW+WZFn+J7x5TKjjp4lNYR4WCDdJxaZIr4lmysDX3gFaUb4ku= SewryRZdex7juVscZ/IH0eiU+sWkHqvYbkAgmbmNxzBt0Bxct2UmXKo84NaTSTVTUQQzIZzKAZS= zxcLZCqEKb8+guL8UK+wX9p8uPtpPmDD3Jbss/H/C2j47WxCxvB7VLyqqpEd3c+5FTj3akKwP2f= XtQcG2vqtvIXSYMpKukw6rBaJn9ENGmxi4l2p5KBQiKiTlleEjOVUas5VV5105ZX1uZnTx8rHUb= UWU+bAosAscQkpBtZcLLp9rZUlbuDXwgMLCc02KScjqxQhPnhJMcK0eV3hQnPd76/rC3QJWTyy9= qVkWrMLrM0pItdFvmwrxltAJEjYuKXKYxIuVQ8tYyntq47vEhgK4iCIgCGdnu2GW5R28yaTs/2o= yilzLKpamjrHpjJVQA1FDUR1VM+uCpR7RzRI5W+l7aWUg2w7kUuYdm645lk+YzUlYaaopDLwqeX= +BVwmCdQJImALIzAMBcbEY5FdxPZN+0vzfqgyjqGZ0rshQsnsJFnIxJdwKhrPNmrVijU0mPIF44= wzGBmIIjVY5w0RU7kRdbLc+yu9oXkQgpa9FVa00SLC8osDcaBDCy3iMpor70gQyRtdYSYNbLYdW= o1CntJpHqrSu56m5XXVnpbmWOt2ucKkDtiTK1n20C/AyPmMbGn2svETSBv7XyxWseXAFFWHFLJi= iQ4ZjjqoEdzsFuxkO7NTksu7pokBtJawINfeVQp4qPJYs6jr7Y0mqZYuKdFqpU01LPc2TJC+dBO= 4JEYqNbZZPLDkGTZVkOV0UFPluT0NLltBAXqJWgo6SJIIIjNLO8knDiRVDOzMQNziBU0ctZU1NZ= U1crz1M0tRO+iBQ8sra3bSsQAuxJG46ct78OGZ+x99ohdYjNxzFej6LiljKr6kDMlDuPEkWg5sR= 1ellLRzp3Y1LUEeeIrGN5Gy1nsRe2UVFb2L2FntZQNRodqrYTfDQKtHuDEY3wfDUfh8NnonhoNV= H4fCt7FVqJ2rxp6lZ7QPrszPeDe3GGdVO6lHVYLXbi5TVxa+8gRRlBiduwQKfzFojYcIJY5/DZJ= M9ow+G1Hco7VnNur32qGO5xkOM0PUfuva09bNu3U91dXtZi5rfH6WPeT5OQJDuLCOjKwUHGr05L= ETyVpB1hTgkOjyITz6lKiuAAK0KtpVvWWY7OAdwCRsDzvvzJ5YpDHTNvrrGF9NwIR9WwNrdBuNu= e3dh6HsHPZg9ZXRp1eZhul1C7bDxLELfZ/IsXi2qXtfZkPe2F9js4EdwoxXl5KCBKI4rvTlvCry= 5OegvqP6YrDcSdItaafbiBNHOU8OonvhkQ86M4RHmA5fAlg70GVGuVpWlRe13byi8juWdZPtPaX= Ki1dX1L7r22NRwYjJLkB7+thtauS4tRZEZjENJYIqRiWsqDCkBVwLItbL8o8jwSWCsZn1i+1Uxz= I8qqoHUPujY1WO2EsYp8rJKqDMk1QpjosW1JWFmMlijSGo0qlQCgEJfFe9gvprWVVDU1k/GeWmD= Mqj1eIF9S2w1b+/lc8vCdTVkFJEsKR1DgEm7hdV2sbG23l3d+OqTp06M52AT6uVaS7MkesAIBS2= 0tDGlNAVTtQEdvKC8Yj+47yPVXK30Tn1XZgdEF35vcSUfcueg80yWZewooVmsBTNNc3FxGdHa4q= oOXEfZijscNqifFi+A5nYVeORa19oD7QyPRbQyajqu3VnX26Ui+h/JzreKkaFKproNMwUSQjmMk= +aIXvGQh2D9O1pFRyP1tmXdX3tTaWXPJj3UruPd0dVUV9jb2kjNMarnVJ5MeM+TEsgSLcT4TxyZ= QgRmyEY+Yr2eXQqquoM/Z95zGZpIbpq0eu6jeyuTpIB7t+g54vMr7XVeUCpFBxIvSvRxOWhgkLe= jycWEfxFbSFdiTptqHO4Av131vTBuJTZdHySFumacFsq3tCRrZs8p41vf4vGxqykVpxma0EcfkY= tlBjuYrAzVO9U/tE1ZldIVzNw+Jjsnca3LZ4RIyGVtXepMswyKZ1rkhclrA5MwchG5DEp5UXHgi= CX++OhjOVUc57XcdX/Xb9rQohGXfncpjZCEWG0ma0AjT/AAsei5W5K2M+0bIsnLj02JZsZBFIeQ= MgTGNcZ6C0+P2SvXP1n7u+0D282d3u3wzTMcXk0e5T73Fre4FYVpp1NgN7awEP4DyBeWDOjAMiN= eqhkC7X9pBq1Iz9nFjjlkLxuio8jKJJWFiEYlQzWBui6TzUoCN8WK9vc2lmgKuI5FaFY3FJSIf4= SyhAxSMFgUqZ0cEESJK6yagRjo7yTpVym+tcosV3Osoz8gyGBnNedHzCS8bzSvqcgomSatVMgVp= T1MrHIEmoMxQnj00hr0V0x79eKn6TcmpsdxatibgeWvcOyMuSwMgissBHupb8iPkIoWSAWR2T6+= I+Uavjh47kgijCcvDXN1d67eqGV0tbQFy2miR52XZDaMxrEgzxHLWhtTwZk5JVh4DHK2OIUErGP= KrANklAshyB8RUgs6cfbIbsXm6wq7L8lrc0xQ99DiXVU2lHEkwoMwq17Vx41ZHeea9tg6K9kg4o= TBhmhU0F0cRTNzVRPQU07q0FUxjSNp5Y+K0dOkzgoznV6oJGq4BbSNxoG2kgzvP5qeniOY0MPpE= hNBSzU9KstU9LT+jMsOmA/wAMRSGEq5SNpHsFeZwTKH7VvB8nu8D22u8PwnIctvIV7ZV85+H4dH= yy8DBlV7Xx2lEQgCgrmymK9XKVUQit/s1d66Sb2ZO1ea0XUBu5uk3bTcnCMEyrajbjHbiw3dqgU= 9zY7j49MtPlCJt9VJOsJFNgkWqNFeaGixIhbghpAI6q571kiueqba/Hc2kYNfzp1VMjQsblOnTA= jQEh+WucOiDAgCMW6sGyzN8u+XCrDQYslzQyJA3O5TOy+pjYyFYAqJW5FDGtJFrKo2V5nyxy2W0= M4I8iHIE+MhIhByJUUHfKQInlkAYMjlKzunotJHUSVSkiWRBE5L2QqmnfTy1bC7W3t5x6jMO0dV= kGXdm5aR3y2iqZMxpOHRs9QXqUIYNUKGZoQralj9VUJB2B3RjrXxHqcyvIOn6Z095i/E6TGc9He= bsRRyDBLkGMR7/CnrXCEOOcMoq0YstYMEtWAUh2IvBXCIOO+d06deG5INgoW7OSw8oqMM3Oy/J9= 0qzNJYsyg5NVyct28fiZKmul07YQo9djsDNhLTyGo2KOc5sY6zJEU0eTbCetPY7J8dfkdxllZiE= YpSuiQruWXz5YSSI8aIU4BReI0+asyMUNQjzTnAkgkCaUBmFXY63qj25yLOZuFYseTkboNfhkw9= zXNIlUhcxzK7wkUFhpAheLLqbWimJajEpFikR0Q3hSwmE2Us8chCqVYvcABgS1xuLDfcX/ACxSP= R5plrPUmGso2o/4pqVWWEw6CoLLMumzDUBdWvufHEakzbn2ii7G1eKU+YZDX5mDG59fetn5mKW+= 1yZl906ST2mO2seiEzHcfsa7GN9UxuldFK/G4WT1tejytK10aYmBj0/INpqTHcmfIddTMLp4dye= VKWbLbdNqIrJpjzVYNZchs9CENKUY/HL3G7Gq7tbgrbe3a2iDRSLbMauIHJI1PLpCv82Rs+HkAb= WRTyxqGMTwo08FHbGHIP4QmDgmcZ4kRvd5Bb9bSFCY7c3qkEE1zHehGzQFQuPQ1sLdrAFiskEbD= hJ5hSjE8Rxq3y5DOc1FdaN5UZTA7I4KsADuDdTa43587+N9sUktRRuHhlqITqXS6tMlyHAB1Ete= 7BtydyTvucN83Nw7KM3weFtxmRC1iVNjCPGsqmaeBJOKrK14HqQkY8KZHmC4G4SuGULmq5EVyIu= lNpqDJs3nYnX2IQR8SxFYclicyCFkSIARhiDdKkDC+WfuE0pSsEwTVVUG5/K8bazfnZ2cyrePNK= uW23Uq1zWRLOQ8nlwzJB1MNsB74KAHXzXGWc2MgvLvQitd2ouE3o6haLaDpq3O6jqTHrzcel2/w= K3ziBjmMwZjbnJgVkZxxRKyMaH5piSHIjnG8kTw4qFksERjU7qKLs/Sw5hPmZi0VlXT0tHVVOh1= mqKaiaRqSCVixQiJpZCLIDvuTa2KqHLqaSVrVvpAZYdcauGaSOAgxLIQ5uouCSANVxfa2HL+A9z= f93heP8vqXlPr+Gm2J0q7ND3OdusTHVJlXm0sU8aWckAdqhfFSzHEc9WJMR3a5Hova1U5a1PqhO= 299vrLyfpdybfGdsNiOT55P3S232b2Z282h3to80iZ9uBuq1q4/jOSzJlRUX+31rRvQwsmHfY8w= LHgX5OLIY9SD1zrA6yt/Ms6YscP1j9JW6/TPmGJddXSXg9WPbPfAcfG87FnWVsdWXmP5xTQRWNv= Q1D3eWyzGLGrjilG8BgpiEYqxptfk+WZr6P+8qGmrfRJ0qqYVEKSiGpjIKTRhwwWRSAQd9wDzAO= NbQZpmWV+kHLq6roTVwPS1Po07xGankFngkZCpaNhcML7gkHYkGfC96X9hcuyHJstyLa/F7jIsv= rSVGQ2s2KUkqdEJKpJhux3jNbCkml41j0ok6AyNMfIpKw6yFLECRuNk9IPTjLpWUMjaLEywGiih= ejo5/NHHDnW9iFJVgkhJ8tyzL+6MZ8mQV0j5UmDOpBGczXPHtZ7Ynqr2g6iPbDZJ1c7Ntrumnoh= q8CvKyHj+bVlpaYNYXtHWQNt8IrI6VYC3srfEtqHJZ1xJOyNiEtjK4oDsJ3o9n2ZXtlRddu+eUb= AZhtliODZpD2tr95MUtds9zPnVxGfi8uyBV2OM5JbJj2PrQ57jxZsF9jVtZLhyBEMWJI7BN77IC= wsOQ2GIOJb/wDq7bIOooOLl2pwY2OVtiW3g0R8frz1MezNCdXkmtgmESO4/k3LHE943eCzt8LsV= rXJpP8A1P8Apn8WwV2zeGIKzrHU8yKyCVkF8Bw44XCHCYdsWMR4osYTpMYIpThxwscbgbEa6HWs= ZHYSaunsZ8KP5yXGjFLGiq5G+YO1qqwSLzzy53uRF7lX6LfVU1FrauKgpKmsn4hhpYJaiURRPNK= Y4I2kcRxRK8kj6VOmNFZ3PqqCSMdxxtK6RrbU7Ii6mCLd2CjU7WVVBa5Y7AXJxjKDCsYxLFo+G4= tWDpMfiRCwYlfGLJe2LFM17HsCaQY8hFRHKrHOK5zV4VqoqejFtxuh/Ic+squgDm1ZVbc+WPFu5= YqruziXUrKbKBQQ5yu8pGiPISUsqR2KU6F7yckV2nBV9vuZuTRRzw5ULB7CFbIOdGeyQ6cYIXtc= rXiK5qhRzPVGKjkK1Oe7t04sE4MaNHZKlBcVEZHeV5RDQshrUaRERzk+mr0VVZ6uRV44X01kex3= ben7arNV5blGc02Teh0FXQZvmdKlDFmfpgmMsMFHJJ+8KeaiaIR1CVtNTnU68MMLkWOZZW+VlYp= 6qkkqxLPFPS08hman4JUI7yqvAdZwxaMwySCym5B2wmNps/TW2NLhcgssOPAxzEaatLEmEj21fL= wy2W6orONNaiuFMrbKLVz4xkRVSTF5cit9FR9vR3hUvILmXfWl5d45Z4rBo30Mq1kubYW5bDdKx= yLJrwvp5+1tJO6NxICf6Kx5Dyl7V/s0R2hLOEIjAlkAGUiIoxkOJj3o5eGqxrnI5yOX0b2ovKpw= nrxzWywjEeQYyjIQLlYVjCMe4bkVU7SNaqqxeU9zkRfza3GKvDdg9Le3A6hKkwraUiiqRFnksni= sJHyLZWFpBIaQBg1eVp7KSwhPR5RK1j3KjU1h5PR7swtbKqoNDKp4MjyxAR62zliFAmRGRRinwm= EeVBS+2FFQhOVQiAYit4TTpPOA7WP8AEH2kd2Md4jeHv5VO1q88Odyipw1VXlFTjlF4QbqbvMhp= Nk85scTqswuchZWiBVV2B20iiyo8uXLBFGtXcRYNiauIJS+KSWyFIUIGkeo1Rq66VS7qgtd2Cgk= gAE9STYAd5xxI/DRnIJCgkgc9v1/TGUwXY3Ddvsjssrx8Usd7c1FdR2so0t5GTa+pRyVoXx2sYF= qxO8nhKxqceI9PXnnWQ3GwrJcrZVpjWSRMbPDfJSaSRTQ7VJwTkhuaFVksc4DRIA6f2SohFOivR= fDbxz8G3I656zcLGsfy+36gcdxGPkGQxDVa225F7YVgo1nBZXsutwMHwOwblgJ8Z5pVaY8WNDBF= c6PJksIx7WuSyLNuuBJWTYHBnbmBibGWlDNHnkavnEkbzVe426eGDxiGCV5dprR2G7dpfJlnaLv= BJnOdLYN0dypLagb1Bx4CHF7k+rpLKlzc2PrMo7wSPfiuTNCCzrTVSMjMospDFgusgAC4OgMd7G= 1xtiUN+3G7b1M1m6gWsfXQIwGfg9Dc2PLjHpHyZiI/lCJJBDtovhP+iNtp4jeHiXn6LbbeBsdI5= d2hKqSrAnmY+NwQHWLIQvkQLw3s/wD2f/YoJyJ68vcv0ms4hR2W3b61qzbXJt07iRvtmWf7V2mJ= 5nke1tyLcc58+xb5dt6HMcUqKHJsUpsfbYiqbcGQV0bHLa1c+VQxWovg9riY3Ldx/aTt21sIeby= tz8fyPZvINqcJye7wqDkcVm6bt2t0oudZDlFQfFau5uy1W2e0qU2D2M+rrZZYdpPyFvguNH4b1+= 7pAxQVFNZXVD627EgXKgbkC6XI2GoWvY45OaAKrei1J1oXF0LCwF/WYXA1AMRyJKkWvidmgwXc6= usqk9puNHtK+HIaSyg/IkYDrIS+SV6IZqd0ZVcCS5EEna50t7nfSG1dLoRvex7OOe5qtVPii+i/= ZqAyDuF1Wy8i2ak4kDqBBWVtptTBzjPMgy7M7XC3QMnzTLG3T7TbbJMJrsjydsaoqWVVxakSFIp= 1taOYYA6+O2Ws+rfcn6E/4ajSwNDp1SI+q/1SDpK2uDblcEGx3HXEymqVqNdopIwmmxdSA4Kj6t= 9jptZiOu3TZucvppwcs69NDdPg1uSMlutsf8dk2lWbM5UtrXQprDtqrLuVSJKguE9Sdr19WppR6= bazCqjEY2E/IMGbj8c0SS+HYjSek6bCkgmgn2Dj9yzJrZsYMtTn73KcbH+9qIijaNM4lYRuV0+b= LTJ8iykbZ4eSZKh2sCSZaiOxDxLwss9qIwmMaEnnCzpj3vcNSDWSZAvGhHIuIB0vdP0d1U4e0uE= otKsl1b3U4TIF8uZLsJJCtL3tllLNsJ8pSzEkFQ0+a9r2rLkeIvejRgwkVBsLs7i8KPXY/t1itX= Ciujujgi1QWoJ0SbJsYrke7uIqx5syTICrnuUZDP7VRvCJindNexSS62ePavDWTKcI49YYVQACw= xCcrwtE0XYzkDnPUD3tc8HiEQTmIR6OXLRowYbJO6S9lZo5cZMGx2PXy7kuQPgBqorY7Lg3/nJr= URqO7iKrlIJXeA9Xu7hLyulA212XwTak95Jw2grqeRkcgEm4NBiBiumFjtVgnEaFEajRscqMGxG= jYir2sTleVb0aMGGlbn9KcHcXcq63Jhbnbk4FNynDqPA8trsJvG04Mgx2hn3E+EAspony4J+6+s= gkkw3sK4JUajmuYi616P0CdM/yLm1Hbba0WRBzavjUkidexhWFpSY9WYzCxOgosbsDMdJpq7Haq= CF1MOIRjoVk+TaCck2SUznraNGDDC8b6ANqsJZkFjh95mePZtmFTuFT5ruFXXHh5ZmsbcSZY200= 2UT0Gi206ivbOVdY3MkcmqZRTMA7wDOGmI259nBsXt/gud4O9l3koc8i1EOVd20xrL2lBQHWdS/= g9MjsR1Uevs0FZjkB/tXzYsQpFd5YfEhejUuOvrYaOry+Kqmioq8wmtpUcrDVGnYvDx0G0giYlk= DXCkkgX3wy0ELzw1LRqZ6cPwJSLvDxAA5jP2GYAAsLEja9tsM96cejPbXpyubXJsfk3eQZLZwiV= TbrIZASlrqk0hkyRBrI0YQo8XzsoIZFidjfGmmEx5HIidunhaNGoEMMVPGsMEaQxILJHGipGg7l= RQFUX3soAv0xKmmmqJHmnlknmkOqSWZ2kkdrW1PI5ZmNgBdiTYYNGjRpzDeDRo0aMGDRqypkT/d= VPTn1/wC7n7ePr+C6q8T/ANX7f+7SXHeOn68v64Ljv+fkjzxc0ao71+CftJo71+CftJouO/52+I= wlx3j5/wAjzxXo1R3r8E/aTR3r8E/aTRcd/wA7fEYLjvHz/keeK9GqO9fgn7SaO9fgn7SaLjv+d= viMFx3j5/yPPFejVHevwT9pNHevwT9pNFx3/O3xGC47x8/5HnivXxycoqfH46p71+CftJo71+Cf= tJouD17uVx3fEeeC47x8/wCR54wt1j9TkVZNpbyrg29TYx3xZ9dYxxTIMyOROHhkxZDHiMNyeit= e1UX4LwmvREqoUUIIooUYcWKBI0cDAjaGPHazw2gANGo0YUYiMQbERiMRrUTtRE1ku9fgn7SaO9= fgn7SaXULdCdt7b9AO7vHngudIXWdIOoLe66jpu1uWpgFBI57X6YRzcHb3L8nkAdimZiw2M2qlw= TDDU+cMk01lWzo9nFeyZFEEwQwZEIjSBM0gZpVRWPY12kVrenzfmDUyK83UtazJJzRyMsT4lCdI= jjHFLHMAHNj/AGTTGIk7xGK0rZYmOVzmq5qvN71+CftJo71+CftJpLjv+dviMFx3j5/yPPCUbZ7= e3mH1kyHluWHzyZKlNOywsYQY6xhNjsD5cQEeZOx72kM9znucryuTlW8IimuDGiB7QAGFic9rAj= YNqcovPDWo1qc+/wBETn69ervX4J+0mqXK13CPaip8OUX7P1aNQG4ubWNgCT06D3j5GA2IIvzHS= 1/9+/8AXHEAL2QftF6Pdrc/L67ZClt8dzg+aVRoybq7ZQC2eOZPZOkOEVZ8618AUgDBOMF0UZ+e= 1qvGrXIu+ZL7M/2meSLFlzthIM64iU17jYbi23t2qsrEGOZHXWlXa0EeWQIpAqQkK5so0SnQq1t= eGbLbCihcVrx9oPDfREY1P8/T831pxr7x+Zv7X/i1YHNqg6bxwbKoBZJNW2kWO+42sf8AnFaMsi= W4EkoBN7altzXkCPyJ5/pfjDL7NP2mNlANVX+wFdd1JFrhBrJ29G0ciPFh0kWNBohRlkwzkjnqI= cKKyJIjvCgy+bMwbHTZHfhc19mF7T3KbqyyOJsfW193Pxe2xf5RPvJtTImkiXXIZfyhMgtqpVkA= MQsoUKNJM5kZ5mOa5RiQT+1bj8zf2v8AxaOPzN/a/wDFo/e1Re/Cp+4epJyup5XtzsfLvwn7tiI= 08SWxIP1l7lHce89e7nffhXrPZF+1fqq/FK2LtRgjg4Q6Q/Fiycv2gmTKYkqaOxkEiTZU8stpCz= BDM4jiq9Vaic9vprNF9lb7Xw5LQpNv8TV115JbdPw32lRlktdLiTYLpjEsFbIWNIgxXCUiO7WiR= ifRVyL3Hf5N/a/8Wj/Jv7X/AItL++Kk2vFTHl9iSx+rtzHPwt07xYGWQ+0l5g31L002/Lfx/Pa/= D8z2WPtaZt7ilxke2WPWrMLuI2R4+Cv3J2rpSRburq4NbTFWTEnIRYMUdTTx5MJqNbIroLYLHg7= mlG632WXsu+tvpt65sE313y29p6PDK6s3JbfXcXPMQvZSWOUYZfVcJUram2lTjLJtbELCPEFzRN= I4xVaNjlTrU/yb+1/4tfFai+9rF493qi/8VX7OF/Prl81nkR4zFTqsiGNtCOCFa19JYkDff+lr7= dJl8SMjh5CyMHFypuRbY99+XPu36lpHVz00UvVLtbP29tLCTTTgzgXFBcR3SWeStIwyiRkjyho0= okCbGPIhTRgkxzeBIeQBhHGIiRBbAexayDCtyouUbhZRi4MfFZhurUWEvuWW2QWcazFMG0xHxKw= MSEcQB+YEd1giSpE+SxilkNIPo04aq+rU9P8A1k4+1Of1L+rVXDU9zGp/7aaz8+W0tVLxZOICwR= JER3jSZYyDHxkQhZdBPqFwSAxH1dsaCDMZYI4kWOnkaB5XpZpYo5JqNpwFlNPI3rRmQW1AXF7G1= wDhqGddKu1+42S1+V5RDyCVbUzYDaB4L+3iAx51eQbxFpo8Y4xQyP8ADRhVY1WvZynajlVVTaB7= P/YGtlSJkWtzDzEqwk2hSmzDIZD1nS7WuuJBkceUVyKSdVQiORHcdo1Z6Ne9Ffzyn+Fv7TdHKf4= W/tN0+aWBjdlVt77rvc2vue+488OxZ1msKCKHMaqOMKqhEmYLpU6lXSDawJvbkSb9d2GJ0CdPqR= Y0L5ByLy0SRVTwC/Ca87W21M6qSDcK1ZKtdZii00CAspU73whvA/lpi96hYb0qbW4Jkl1k+PwL4= My7mxZ5Ycm/uJdVALDzK33AGyprjnfHrgkyy+t7QwYzRic+cYXagEYJrseU/wALf2m6OU/wt/ab= rpKeKMhowqMCCpVQCuwG3dzHmcNz5rmNVDJT1NdUTwyqVkilmZ0dSQSCrEi17EAWsTtz3aZP6Ud= r7Wsx6ptY2R2cXGI9VBqHzL+2LJj1dIDJYlXVrIUyGdDhxMtuY4md3iNEYLUJzHC5nkkdHmyMjz= HdislvmJVjNVRWdoNASblILLskVGnakd10KtiBtPDRqTBMeM3c0pe533Kf4W/tN0cp/hb+03UoT= TgACoksOX5kH8uY5WxRnL6Akk0tOxIAJMakkC1hfnbl17vDDWIfS7tdWSMfk1NZbVZMacdanyVr= YCbGFIFZAfGRviKnl0FbTWsZ/uI9iNciDYjc3ddPOKZBsfmWwsS5zPFMcy6jtqUuQYvktjVZlUL= cK95bOlyBHPlQbAJXeMF7e4KcKMgXhIRjnGcp/hb+03Xz6PPPa3n49ya5LyPYSTO4BBAPK+1jy8= R54dipqaBtUMMUbadN0UKdJ07bdPVXyGIGca/6P/01w9vd5sYzndvfHcXP94Mo28zNN67K8xnHd= xMDyfaVz37d3+GGxHGKSlhXdEQpyybebUz51u+QZbEp0VnYocf2LW3lvtZPwDdfqd6od7sluuoH= ZjqEvNztz86qsgyeZf7FWCzcJxuDXvoB43SYz2L5a0DVU8WwnMRjn2CPGFRTS96/BP2k0d6/BP2= k0XHf87fEYfuO8fP+R54iX3B9j5097m7z9Yu6GVZfunJxLrr2roNuOoXZMOSQw7Z5Hb4hAp6nDt= y6+G2r+WarOsVr6YSUc4FusKFLkypY4PjE7kTTan2Ye9PRpUZpnvS71KZJvP1B2uMYrtthE/rHn= y8i2yw3bOiuRTZVQDGtq4mDSZt6aE1wW5LYGmWhyDCw50A+Qw02fevwT9pNCu597Wr+lzdFx3/O= 3xGC47x8/wCR54YR0twfaSxs5tH9YWR9JNvt8tEZKaPsNi259HlDMjWQHwSWEnNcpu619SkTzCP= CCMyT46ic0qMRzVp69tqM93W2+xiLt5jF1mN/jeTuvIuPwrDEWUU6SOEQUMWXUeZ2FPXXtCshWe= YbBuqy5q0V0+rMSSxolfwioi8o1P20+/VPDP8AA39pNJsbG52Nxa452H/9Dz9+FuO8fofnmPMYb= bhWJ5HCi4jYZbiFYmQuxfGYdnGoLFqVWN20GGNlhHi+ZkrIkwwma5AFY+URzGoJXvYiEcwPdLpS= 343HJSUwaDD5da/qq35z2yduOhMpxWPt/llffgxG1lUNHlVBZyyJJmwyVkEFgKTWSVGaVGE0bkS= Yjw/Vf7vKr8fT83P3cpx+fnV1GtRE5Y1V+te5PX/h9WqHJchosjmzSSjuq5tXy5hMhhpk0VE7l5= bSw08M0ys7koap5pI1siOqALiTUVklUsCyFT6PEsKMGkN0QKqgh3ZVIAAtGqKSSSCTfEMVr0rbr= 4f1KbEWU7Fcl3swTbzZnYzBT5+aq2yuSsyjCc2zObkdzNHnGbVOSY275Ns6KwdY4zDvbEwQtEx8= uZXgGTN4H09bvQN+rPI4G0dtglqHqb323ByffCVl+MJX7gbN5bZZfIxPB4lHTZBZZDbrOj2mPNZ= FyinpoeNrXLKAV8qLGC+YPtZ/2bfT3fST00drP8Df2k1f3Hf87fEYi3HePn/I88Qm7h9OnWlmG3= uwmFYZFpcaJsxHyzcmdZZHm8qEW53OJm19JwmqjLjrrNbSNU0ct9nKj3DgU5ZMqtA+Q90eQIcie= 8cfdzOOnC6j4fCk4ru1d4XAKWki28SLOr7eRHiGv6GuvwGJDjTlRZ1dXWozqFhnBkNKNqqRjnu0= fC/2bP1p/wAPr1YWOjk5VEVUX0VVT0+HHKJxx6cablVZYpIizKJUKFktqUMANSk7Ai4tseflIo6= pqKspKtEilelqIalYp1EkMjQyJIscsepdcb2s63Gpbi42vCpnWwe4md7V4XjmyGyW4O3t1D3Lh2= 2bVW/mYybatvxRcXniJOm2eNbl2FxNqDWnlweJDs4Z1lPZMdXEE16Kn2cbA9UsiP0tDlYlnmWx8= RwCfUbhRytqchdX5MmURpIgujyN4sOeWHHrmFFU3JLfIDtr2BbJjPMrm6ns8DlV/uIip8U5+v8A= 7k/X6a+eB7kb2+novKonvX1VHIifq49frVeedUz5JTPcmedCRCv8PhxoRDJFIto40AF+GoYbX1E= 2vfHoNL9J+cUoiVMuyyZIpq2ZDVLU1M+vMKaellLVc9W8zmNKktEzEshih3cIoxENnuz+99h1MZ= Ff4ngO4EOznbk7IXOG7tAzSrq9v8Z25x+lxMO59Bd4+mUPs7ZbgUHJqwdGmOzATLGzjTHTRMD5p= mz7m9OW5W4WzW79Rc0d9Y5iTqutMx2+YPJnQpS7bW+4uGunyYskFqAQK0uEx75jaySURgxkMIcR= hyjY+VLwePdxyvv55VF/1wnrx6cfXqpBt59eOE45ROPf8fd9f/wXT4yuD+MGkmZZ2lLA6So4w5A= Ki3KFrozXc6VUmwGK7/r/ADRWyySGloIJcrjy+OGaP0gzMMvMBQNJJUuVinEIWop4THATLUtHGj= TucRH9SGyG5cbfHaG62d28zHLK3Dcfw+hoYU2wqTbaUzKnJDyLKTLsXZvjWYYjdDqiNWVdRoOTx= rqGOLANWEcB7SS8CRUYncnDuE5T6vRPq+Pv9+vN4KdzXIjfRfr5/wCXCcfmVPj7uedevu4+pP2k= 1LpqZKeSodXcido20MF0ppXSAlt9wyg37hba+KLNM+qM3pMrpaiGBTlUM0EdQhcz1CTSLIfSC0j= KxRwxQqiteR9TNdQlejVHevwT9pNHevwT9pNS7jv+dviMUlx3j5/yPPFejVHevwT9pNHevwT9pN= Fx3/O3xGC47x8/5HnivRqjvX4J+0mjvX4J+0mi47/nb4jBcd4+f8jzxXo1R3r8E/aTR3r8E/aTR= cd/zt8RguO8fP8AkeeK9GqO9fgn7SaO9fgn7SaLjv8Anb4jBcd4+f8AI88V6NUd6/BP2k0d6/BP= 2k0XHf8AO3xGC47x8/5HnivRqjvX4J+0mjvX4J+0mi47/nb4jBcd4+f8jzxXo1R38fUn7SL/AMN= UqVE97f1L/wB3+udGod/zt8RguCbAi/d1xd0at+J8E/X6f8tGi47/AJ2+IwXHePPCZz9sRWM6ZO= JmWfxXTJDzrFr8qlxYUfxHdyiix2iVoAsVVQY2r2sbw1PRNeX5pY6f/wA9bl/55lNX/iHRo04JJ= AANRsBYX32Hvv3YZMMRYkoCSb3Nz9wd/jg+aWP+PW5X8YzP5Oj5pY/49blfxjM/k6NGl4sn3v0X= 4YQRRbeovTp+Hg+aWP8Aj1uV/GMz+To+aWP+PW5X8YzP5OjRo4sn3v0X4YBFFt6i9On4eD5pY/4= 9blfxjM/k6Pmlj/j1uV/GMz+To0aOLJ979F+GARRbeovTp+Hg+aWP+PW5X8YzP5Oj5pY/49blfx= jM/k6NGjiyfe/RfhgEUW3qL06fh4Pmlj/j1uV/GMz+To+aWP8Aj1uV/GMz+To0aOLJ979F+GARR= beovTp+Hg+aWP8Aj1uV/GMz+To+aWP+PW5X8YzP5OjRo4sn3v0X4YBFFt6i9On4eD5pY/49blfx= jM/k6Pmlj/j1uV/GMz+To0aOLJ979F+GARRbeovTp+Hg+aWP+PW5X8YzP5Oj5pY/49blfxjM/k6= NGjiyfe/RfhgEUW3qL06fh4Pmlj/j1uV/GMz+To+aWP8Aj1uV/GMz+To0aOLJ979F+GARRbeovT= p+Hg+aWP8Aj1uV/GMz+To+aWP+PW5X8YzP5OjRo4sn3v0X4YBFFt6i9On4eD5pY/49blfxjM/k6= Pmlj/j1uV/GMz+To0aOLJ979F+GARRbeovTp+Hg+aWP+PW5X8YzP5Oj5pY/49blfxjM/k6NGjiy= fe/RfhgEUW3qL06fh4Pmlj/j1uV/GMz+To+aWP8Aj1uV/GMz+To0aOLJ979F+GARRbeovTp+Hg+= aWP8Aj1uV/GMz+To+aWP+PW5X8YzP5OjRo4sn3v0X4YBFFt6i9On4eD5pY/49blfxjM/k6Pmlj/= j1uV/GMz+To0aOLJ979F+GARRbeovTp+Hg+aWP+PW5X8YzP5Oj5pY/49blfxjM/k6NGjiyfe/Rf= hgEUW3qL06fh4Pmlj/j1uV/GMz+To+aWP8Aj1uV/GMz+To0aOLJ979F+GARRbeovTp+Hg+aWP8A= j1uV/GMz+To+aWP+PW5X8YzP5OjRo4sn3v0X4YBFFt6i9On4eD5pY/49blfxjM/k6Pmlj/j1uV/= GMz+To0aOLJ979F+GARRbeovTp+Hg+aWP+PW5X8YzP5Oj5pY/49blfxjM/k6NGjiyfe/RfhgEUW= 3qL06fh4Pmlj/j1uV/GMz+To+aWP8Aj1uV/GMz+To0aOLJ979F+GARRbeovTp+Hg+aWP8Aj1uV/= GMz+To+aWP+PW5X8YzP5OjRo4sn3v0X4YBFFt6i9On4eD5pY/49blfxjM/k6Pmlj/j1uV/GMz+T= o0aOLJ979F+GARRbeovTp+Hg+aWP+PW5X8YzP5Oj5pY/49blfxjM/k6NGjiyfe/RfhgEUW3qL06= fh4Pmlj/j1uV/GMz+To+aWP8Aj1uV/GMz+To0aOLJ979F+GARRbeovTp+Hg+aWP8Aj1uV/GMz+T= o+aWP+PW5X8YzP5OjRo4sn3v0X4YBFFt6i9On4eD5pY/49blfxjM/k6Pmlj/j1uV/GMz+To0aOL= J979F+GARRbeovTp+Hg+aWP+PW5X8YzP5Oj5pY/49blfxjM/k6NGjiyfe/RfhgEUW3qL06fh4Pm= lj/j1uV/GMz+To+aWP8Aj1uV/GMz+To0aOLJ979F+GARRbeovTp+Hg+aWP8Aj1uV/GMz+To+aWP= +PW5X8YzP5OjRo4sn3v0X4YBFFt6i9On4eD5pY/49blfxjM/k6Pmlj/j1uV/GMz+To0aOLJ979F= +GARRbeovTp+Hg+aWP+PW5X8YzP5Oj5pY/49blfxjM/k6NGjiyfe/RfhgEUW3qL06fh4Pmlj/j1= uV/GMz+To+aWP8Aj1uV/GMz+To0aOLJ979F+GARRbeovTp+Hg+aWP8Aj1uV/GMz+Tql+0gVREbn= W5KLynKrmM33fX7g/wDd8dGjRxZPvfovwwCGI7FF5dNuidRY4VcAvACIPe8nhDaPxCO7yP7U47y= PVEVz3ccudwnLlVdGjRpvEgCwsOQ2GP/Z" width=3D"563" height=3D"182" alt=3D"" st= yle=3D"margin-left:84.05pt; position:absolute" /><img src=3D"data:imag= e/png;base64,iVBORw0KGgoAAAANSUhEUgAAAOAAAAA6CAYAAACpiFWoAAAABHNCSVQICAgIfA= hkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAIABJREFUeJztXXd8XMW1/mZu2a7eZctVxlhgg7HpJ= DaQ8AsvEFKsQN4jdBsSik1IADsJG5KY8oixQ8ARBAglQGQILSEBDA4djI1tXHFXL7srafutM++P= LVpJK3nVbPHi7+crybfMOXfunJkzp8wQjClwAj5KRRMAIKNV+iGxbNmyb6tR9V7GzKmUUDizXd9= yu92vHA7aS5cu/aMSiV5ps1rVguKis5YsWbL5cNBNYMWKFbaurq4ro2HlN4QQe2lpySOCJPzkxh= tvVA8nH2MR4pEiXFOzQcrNPYlVVxMTAC5f/dFEb/j9cWwVpaNBj6zgvDXwVthBRV0kRiTHKUVmF= sph9/+cGhgNeqn4w/Ll+dsP1n0lGAiMMwwDAFAQLfqJ2+1+2+12h0abfltLixAOhojdZoNktYw2= uR7gnJPrF11/bCDkX8AZE202x+pwNPTrBx988D9e+IAjJIA1rzbbt7XVnWPzf7IJQCMANHcGbqr= rNK81OLHGh6sRBQEgCgC1IUI43xsJaPsCGt9x1q/e/FTgbN8pM/Ib7qme4x9xwgC21ddXREKh2b= puWCkl4JwjGPTPzs7POQfAy6NBc6zgV7/6lUWySzNJGGpWdvbqwtLi37vdbt+R5musYORbega46= o8fXdDSpd6WLYsLn735zO0AcNadb95f5zeuNRm1jhZXnPPEHwAASjhybILGGf/QZcUnkwtcHx03= uejDpedXekaK5oIFC2SBCP9DmHkvJyTfYpF3aKo2jXOOsvJxLx4zY/o1ixYt8gPAypUrv7Jh/fq= Zuq4LYD3LyXK5IpLd+q+HHnqoYeHChZJM6Rkej29W7EWAxP1UpCwvN7exvKLi3V2f7oIhRL4mSP= KNuq6fLIuSAYH+Xo2qe0UBH/1lzZptbrebUEqP9bW3n9ra1uZMlOPMciqu7OxtOTk5G91ut1JTU= 5Pd2Nh4we4du/KTTCXoptBPnBcojc6sOvGT23552+cLFy4s8Xf4T6OUH1NeUbHP6XT+6/PPP3dI= RKhOloPuMuwOZ3jW7FnvLV68+IuR+g5jFYd9BFz87KaJG3Z7bw1pvCi71H64ycdAAHCAgaIjwmQ= A80IaP0vj0YbWUMOrl9d8+Eg4t3HHmupqc7iksrKySg1VO1+JmnmCILTZXa5VnIVv17TohK6uzp= MCHYG5ANYCAOf824STawmHlffqhBRFiVBBqn3iiSduOXDggOptbf0uIbieIzazTdzPGWfhcKS+q= aHpoaIpRZtam5pv1XXjBHACTdcFGOSnVKAeQqVfuN3uL5qb2+cZmrIEzDwDHC4SL0dV1Kip+7Zp= Ye0vK1aseBgqCggjt4LgOHAOEALw7rpM7TQJBxhDpKG57uNHHnnk+jfeeKNNJPQMxvjNnLEPAaw= XgXIQrEzcn/guHICmqaG9e/a8uWrVqltvuummPcP9BmMZh1UA39zQkf3ge9vvbAoYp2RZhIOAdj= jJg8RbF09tMCTWgnROhNaAMbEzgisVVZ+e35X7S7fbvd7tdrP+yjsU3G63GPR2nehTfGcCIE6Xa= 1d+fv5bsmSd39rUOFFXtWKfz3PBunXrPp4/f36IxCkRSvWy0tK3XS5XZ0RRhPa2tmOVSHQ6iYYv= bmlpqQXwpiAIT1MibAQACABMYNKUyXObGxuro9HoBIvFcmlJ4aRmLRh1B6PhJdFI5EzZYtGzXFl= 3Gyb7QoDwmaIoZyqR4C+0qHK6JMtmYVHRiyKh70ZVZXI0Gv2OoqhzdcOs0KNRES7HS4hXGyd4Sy= D0JQgkRDiZa5jGj2RZjpaVjdsEoL6zq/P4YCAwzd/ZOa+9ufVSAPfFno1LGACd8z0WgisohBj/A= CRJcjhsjss7Oztnd3Z0fqPL59sI4LdDrf8vA0bF4NEf/vj+tgu2NYcu0hg5YsafGAhSu2yS8n9V= 5466LvPshgB/dFfu/FOHQ8Xn89kVQ/26qqmFgiBEGfBme7vYQgX8UbLIUcPQ7R6PZ+77778/Psk= JAThjamfAf1fVzOOvLSsvW2i1yCtFgfoMXbcygx3rdruNVQ8+uF6H+ZQO8yndjP2eNfuEWzVD+w= UAEolECvbt2yfmlRa+SijdC865SAWjqDD/7yXlJbUTp01s8nk8Xzc1bRYAmpWT87Azy3XVsTOPe= 7B0XPlSp9OxnFLaYhh6cWND09WuAldRQkfkwK6oodXqpvmUQOi74ByUkEBObs7jkysnX1tUmP8z= WZJbTcaoPxCc2KfqAbz44ovtJtDNv2k+ZbHZHi4uL10uyZJi6rrY2tY2xe12H9Y2erhx2F7utmc= 3n1jfpd2sGHCOnq8hMxCSOEhsVEz8BuJqEBE8YWNGU0Bfc9fLe6cOlc7UCVMrVUW5kHNOBVHQrb= J8fE5W6Kc2i+UbkiiGOEBUValsbWg+OfU5DiAUCoWqq6v9S5Ys6ers7Gw0TBbl4ACFWFtbK9z9q= 998c/y48TtysnOM7KxsIzsr23jjX68HRVFaDQDMZERRFLjdbkYIT2q0TBDM2DlSIAriLFDqEkVB= NVTjz3fffXfnokWLdLfbHSopL//IYpF9BAScYLqiKBVJ/jjhAMw1a9aYlFIWr0zOTD2yaNEiv66= wOiqQhJUz7Yz+tddeK5w1c9YbBXkFSf5Nw9QO7j/wN13T7IRSYrXaii677LKsodb/lwGHZSR64I= 36srXb6m7piJhVDCBDkXvOOQh4XHQztNL0J+eJxxNzGSTU07iKGqez16uXrd/f+o/H3qv7xpVnT= dg/WJ6379p6ajgSKY/Na7QsT3vb9xNTpiSLnOcZzPjasmXL3uYDsJwEA+p37x7X6mm/p7W1ZRql= VBFEMUwoZQDATdMCQvo0Wp7yEwCCwSBnjBlgnIMSJtpEIfV+Xdc1EJgAB2PMoJQag33/vojRt1g= s9MMPPrx/7+7dZwMwRVEICoKog3EwcJFznnNErINHAKMugEtqG2yvf773/H0e9UxFh0wIHZaRk4= Bwl1UIEsY6ehsqYtfjnzmlJXPEBJiDWgAUKLopMc7Be1kQYrJIYiopARjn2NQQmKbodYsuf3zdH= X++Yr6SKZ/33HOPa//u3ddyZoISGqaCUA/wULfsE0oFOkHX1ALd0E+LRqMnAlwYsFAQUFA4snOn= B/ftryCU8rz8gnfO+MqZj0+cONUnisCrL786b/cXu5b1FGUaex/GCNe5EwDKysr83rb2BkKJYpq= mzSZZzn788ce3XHHFFUptba2wdfPWEw3DzAfnAMdOwzAa+ucqc3M64UBhYWHBgb17Z3DOYZEtHS= fMPuGeuWecscUqitiyZcuU99b9+35N0+QjY6M/vBhVAVxQWyt0dLTM9UZwdVgn4xNNfqjgILCKR= D+tMv+dfIv5aKK1ppoq050DgGjEhCek50cYP605oM72R9ixqsGsjMengP1Q1E2grkO9pCjb9RaA= NzLl1dT1i6KR6HSAcIvFtrWiYsIvpxwzZYctft0f0OS99XuXNNbX/1hT1PGmbp4DIC+Tsg1DUSm= ITji4Eo0633vnnbJ1a9dZBUFAJBLMS7hZEsjJzVEjoSDXdF1u97RddvNNN5c3NDR87shyfRoKhf= 7L0PXxXZ0d12/fulX95dKlO99/5x2XoqqXmYZRJFssRkFB0d/MiOkbyRmLJEomOAfnXDxYV1e2a= +dOryAI4AxFJmP/AaIXw6gKoOyvKN3vjVze6ldPMNhADX0QIIRl2a377rt4xpAc2I+vO/DMpwc9= xx/wRC6t69T+uytq5hFwxP/F5oMp93NKENLN0sYO9cqFz3zx2cM/OMZ7KBqPPvqoa9uWrT9UVU2= URDlidzg+oTL96LLLLktGvbjdbipZpFdsdvvFoWCgMBKNnKPrejhmhumtqHaDMYatO3duEkThr1= QQfhgKBc8QVekMSikIIWBmX6NtxYSK1yKRyEUdXm+5v6vzalVTv6Xoyi+mTZv2khqNloZF6ZZgM= FCmG8Y9Fou1TVEU2TSNQtliaS8rL/v7+EnjV7MocyLOlVWWLa7cQqm7ktJ8WJ6YLvTlx9PY2M4J= VjqcjgcioUiut81zsyiJIISAMw5TN8AJTNMwFJvNph+qvr/MGDUBXFizQVIJLvWGtIs0E5aYs2f= oEpj0GoCk+aSZ44r5kxQAny5+akOjVVYjWxqDSxQTcnqaMQONwZjYHlTnFvnavgrghUPRKCmZ7A= gFQl8U5OV7QaiPc177c/fPe4Scud1u9sjKR7Zmu7If0lTtGKvdouRl5zfMqKraZXLGGGcda9asA= QDMmj27BQyvEqAwJzvnk4d/+XBgyZIl9+bk5mxz2p0nEUqsiUpK1hOlXZIgHACArKyst/ML8q8s= yM/7mmyxjKOE+EHp7sWLF7ctX768plPybi4vL7+guaU5PxwJE7vVxi2O7L0CET+eNGXKZ9dcc03= bQw89pBUXF/zZYjl+DhWk9UQgUQCoOm5mvWZoz1FK2+2unM8BoKCswJOd73oewASnw7HW7nJqVk= naxBies9ksH9pdrs52v/9vdpstNHnSlPMpRRZixp7EawCEmDaH46Pi4uKM1f4vI0ZNADvDwQl7v= MrlQRW5IBwcNGHvGDISj4+EIrTy0jkt97y25w+csPmfHAieDCKAgIP0MczEev2wzsubA+zsJbXb= 191fXdUxUNl2O7zjJ0y/UxAUEg6HzWAwmDbEramryTNr1qyVlFILAAiCoGXnZ0sAkJubm6RRWVm= 5y2az3ckYE6Q6qQsAv//++/fX1tY+6gT+qlssfapEVVVWWFgYBIArrrhCAfDmiy++uJ5SalFVlQ= EIAcDSpUt9AP75tyf+9omn0ycRTSWS3crHjR8fVRQleM011zAAuO6667peeeWVh8dNmPA0gMiFF= 14Yuu2221B1QtVmXdcXm6Zp5Obm+gEgHA57Z8yY8b8Wi0VSVTV8w+LF4VdeeeVlAG/Ci8iFV14Y= IoRwt9v96qxpJ37AHCzt3FdVVYUQMuxgiLGMUdG1Dxzg1h+/8N6znzcFL2Q8EVwd655JXMXLt5K= 9M8rsFz17fYahaDw2f7RIgvLN2eV/XHXxjCUjwetvX942/6XPmtY2+RlNqp+9eoq4BZbnWMj7lQ= WOJS/dctbGkaB9FEcx8iMg5+TKX79+4QE/v4CBJoe9sTqrXvat49ZdWfPJ2tYu39cNQkB6x1UBA= CHgHERjOCak67PWcb5lPiH9muXdbrf8xcYvsgyrMazXFkWRG4aduVxcDwaDRlVVle52uzN2ByxY= sECQJClL1/U+39nlcimPPfZYCBl4PkYT8+bNsxYWFrp6n4+9u9G5Zs2aPiPgueeem52bm9tn2lD= uKNdX/nll12jxOlQsWLBABpCd7tqIOuLdnNPv3v/mSS1BdpdqQohFdnQ7u4etg44SiEDuz7ILKg= GL2Wl7NckE15rBs71BdeqqlS85BypPCYQvIFazjnK0D+dghumRxagPJt+c48p5NBQIXXHllVcec= 8MNN2TknK6srDyWMLzeu1xZkNqtsvX3v/3tb4uGVGEjhAULFghlhSX/LaR5d7vVduD4448/Id1z= ubl5z6SrL9Wi/vNwv0MmECB8Ox2/IqHtIzoCNj+8cVJzgNwR0OkEmmjMXwLkynmfZcn+z7uibG7= MEJDeYGQwboEgnsBIYTGA/nvaWNcT692GWQXMMBA1jMngmBwMdF1isdqaQnrguZtvvvn5iRMnbj= pUUmvMRxd/n7iRhpKxpJFQEMIA3rN/Hoi/2DslpgtIdphkjHbwEAQQk/V8Jx7/FiNFw/3igZzd7= Z2XtoXMM0EI5YRiLH3mgeA1GwL5WbYtlHD09qGlghECw0SlP2IceuQYjHc6EySzFKLlihK9KdDl= X9FQ1/Cd2pratKpNEmM9klJIuH9GorAjG+I4FIzI59m+ncuNnZ5vd+q4VGXIBjiJqZ4jUfroY+L= EeYbVIm63i4fuNBTddEoCKXRzPuS64wMIeeo9iSOBhDrPORfDweBcr9dz+7ub3j03PsdIXw6Qoo= mMdK8wgsigTr7M6FPr8RMjIoC/e2fDpO0Nge93hs0J/Muid6ZiHpjTYq2XZSFEknpNehCQfG6ok= 7Bmx5DU94RApQpYuiODcsRoJHKspkV/On3q1FPSZg1oAGeJMLxUmhg7g4XJksI3mPf//4JhzwHd= Lx7IWX+w+WJvyDjTNLkQM+X3MuMnvjbvVtnNMSSndwD8JrvYKVKEOLhzoLmEYphSY6diffq9ukG= +QHejKh83fp/VZhsw0dQ0TUQi4ZxIJHJ8KBh0JBppqmbBORdD4fBJjmj0qmyL5QsA7allyE65va= ik6BmY/IPUrlYUBLic2etLxJLI4N5hZFG1Zg0P3XTTNsawkgE9hgOrZAlbLJaWTMv6sorssARw3= TouPle/6VxfIHpDWOeO2CQ/Jb05gZToaA4CAZxLkmA4LMJwglpGDIQQftLPX6tXVOYFxJJ+bDAg= nICBQDEopL6XM6NFKQqLCv5629Klyw51L+ecPPXUU1Xbt2z9SVNjw3cM03RxHlPvY3wDnDHR2+7= 5pqbrzwP4e+rzbre7HYhlnY9FuAGGVas+AfDJoB5kPJk9n9rZfxmFcFgC+NzBzZN2NXVd19Sl5Y= P0P7+IedfiYx/nkCSqnliR9e7lF85p/NM1w+Fg5FCUZYEvbMLvNwd0l3AQOJxWR3aek+4dCqFBq= FeEEA5g289+9rMbc/Lyg12dHVcbhmHrfZ+haflMM3/odrv/leonrKmpkTz1nhJOFGuPBywWuFyu= QFlZmbc6w2U37r///py6ujqbUxStFqt1SO3GFMXg9u3bPam+PbfbnSUYQjGQasy1QHSI5pQpUxr= XrFljVlVV5QuGkDQ2bf9imx08Td/NmPXXP/91Ze+yDEFSW1r2tzz88MN6nKbscrmKI52d1r6FDM= g/j0ajmmmaSnl5uVZeXh7MtP76w5AF0F27Xd7lDSxpCejzWe+pZO9IkpS/BQBT8qxbSl3SnWcWk= uBQ6Y80sqxWRA0dwEChh7E+d2ZF0SkzJxfYPwKiQ6E12GH/3nvvDa5evXrF1k1bTvJ1+E7v3T1w= AIFg4CsTrJVVALYkzvvb2yv8Uf9dzGTHI8W+JCoqwNiLnTbbCgD9Bpdv2LBBeuONNyrbmpun1h+= sP1ONRqcwSSqXGBvY8poOHGCMv1FWVrYcQBsQ8wOGA+Gvcc5+w1PnJ4jAYlqDTU1Nl1VUVHjCwf= ANnJvfS5hLZVkap6lqjyRqAFBVdVpXsOsV0J5lEZA9Vqv1egD1ACDL8sRAZ9f/hsKRaRnPhOKR5= ZqieFRNa2Ca0V5/sH7jXXfetfPC7164vaqqakjrqwzVkECueuSziz6v9383qHOSWZpDLM4y3yl6= z5yev+qObx/XNBTaowaLBSR6CNEgADiHTIlTMpVD5O6NLK677rqDt//s9j8FQ8HTDb1vggAzjeJ= OT+v3kCKAXdGoraW5eaJh6NMBJDtGURSRnZ1TSkWx33e47777CmqfffYbkWj0UiUSPScUCnX3sk= M0bzPwbbxXm2tqbsrhpjE92UnH/3C6nCGrzWoPBoNSNBwt0zV1ekJGEyGNqSAAIuGwPRKOTO9Ou= I794AQGKE3OGvx+vy3U2TXN19k5PWPme2kuAb8fNpvD1DV949NPPP2XG2644c8PPPDAoNeYHZIV= dNUbB0/e1x74jV/lSX9Yj4iXPoiZ3ZwWimnFjkcqchwvDoXuaEJVVZiGkYGlnsPjj+zx+slhX1i= 2cnrlOw6ns09ibNw1Aa/P+9Wampq0S82RXsdAcLvvGXdw/8Eft7e1/9rn8XYLX/wb9y4rkwMABk= rFTt6bpgmlXhuI+YSBqsf9A2BQ70BIjwMAopGw4PW0ndza2vzrcDB806WXXuoYmGJfDFoAf//0n= qy1WxsX1XUqlTyuEvQTO91tUuYx1bPYKb5X4HCtjqcEjSkE/H6EowPLVMJh/EVL156/7qg/7ALo= dDrrcnNzNvYx1XcvdzorHA5PGg6N5cv/kN/pa17k7+q6TlGUCs44JYSAE4KE9yL1ux4WywdDT1o= 8HjCRKW2GntPCRHGD4D2dmyhWJwTRSCQrGon8mFLxv2tra/v1yabDoARwHefi5qhn0V5P6AKNxb= qqQwwWSDidipxi27g8+8qi+hfGluoZR67L6TAMWNK9ULddNxZeRphqiL7oYTe6VVdXm05n1lqQn= p8twUgkEslqaGgpH2r5NTU1UnPjjnM7O3xX65pahJTeNVktKa2WJwUhzTGiYMmfnHOwhC+zF5IC= gu6OAkA/rXz4brDuUZmAmWYRDH3h1k1bTxlMGYOaAz5as75qy8Hgd0IayT9U3B0BB4+vuGoToI8= rsD1/4tTC93/646GvszlacHNOw8/vqTjoqy+EoseCJVOQ+j+JcGTLDMUTgSFZQYeJUETZJssSND= WlS08amDl8bW19rKSZYs/WreMMXf+JpqolyaK7nY7JehAlCeXjxqG4pASC0LN1h0Ih7N+7F+FQe= ERiM8vKytra2tpuEUXxjsQ5j8fzBDfMsxOxrUBM4PLy8j4TLPK3epcRjUZ1v9+fNDbZbLY2XdFX= 22zRosEMQYIoFlOQ7wT8/ryYPY6n9lBE07RJBw7unbtgwYIP02VxpEPGArj4qQ2lmw923BAy2In= s0GNfvAcikKjJynPkjcW5wlM/PW9qewYP9XMt7ogeBZ1n+xoQ6unMi+g8feNNqj8cVqscmVSS2/= X1009jRyL0ftK48RFPa3NEU9U0cz2OmSfOvhjPPDno5Trcbrfo83guCAVDc4G44MXfm8dbmyCKQ= bvN+bwrN/+ee/73rt3pyvn+RRdNIaL0Zw6cCc6HLYTxhZE74wcAoHpBtZJc5DclGJtTqj3wwAON= GZTZCuD3Q+CF5uXlPbp/z95729raTuesO5GYABAFMS8rO+e0KdOm/nXNmjUZaXoZCeDl7nXWPe2= hi7wKLlAMYiEZ7vJFCZDvtAVmTsxd94MzZvgva45OAABNbW2bP6nnPDDXJrRrpnDQAO/HN8NBOY= Ek0qiN8ENW8uCwQzBNY0ZUNyz9ztzj31vV9ZbdzZ1bX5hDjshaJQWlBdpASwT6vG1DKldV1VxV0= 3+Y2L2pNwRRVAsLC/9x3Kzj77z66qvr+i0HgIzRjzhNZ48ZbZput5vV1tZ+6m3z3h8KhUvDoWCP= NWN1Q4fP56G+9R0Zj6uHFEC3m9Mv8j46pbk99EN/xCjEILIcCACLJDKVkdOefn/nsRwUBAzFLtt= zAP6aeu9NF82uZVz6XCDpeUqM50QUVJdi+fTujDjIDCWabN2lGHM1s1dOTBw80ctyjiyrFChziZ= GtI0h/MLDbc0B7qX3JQYBzKNGhRZcZhjFNjUSmkRS9jqeMLrIk7y8rLV89kPAdSRyuwMbq6mrzJ= z/5yWemybYSQqYm55nxurJarK7S8eP6JBj3h0MK4KdFW7MDPvXqrqgxx+SJ4IwExYHBOFDvC+c1= +ELzkoFD3MS3Zo8T0UsAz6nM2QdgX6aMjyQoixzr9WuzOGhsoxOkN2GLBLCJws78HHFgVXoUEYl= 0gadZ+SzhirDZhrbhTTQcnaVpeqzhpAnFy8nLfXfuaXM/HVLhYxjr1q2z1tU1V+3duzO/q6uLDO= zcjV01VKOQEhSmu8OVlT1xwoQJEwHsyIT+IQVQULsubvYr/6WaRExsZJJxf5PoSUGT4aCHyjY4E= tAMdVGXoucjzmd/3MkCDckC21Y8MeuI7W/X3t4umczs9d14csMZSZbrh1KuSOkszlOTRrv/opQi= Jzvn4/nzM1uYeBAt5Ihh3bp11vXr15/2wpoXLomGIyfqhu4wTYPQgeasPGaJJYDImVmcLmuDUmL= jvB9bQhoMKIB3vbznxKc+2rdYMVhuwvRNMjSD9P6Q3UmXY+vT/PhPH0z45EDXuVEzZlaKZfL3Ur= PjL2yThaZ8p/z5fV+fecSyCPZ9sc+ma1q/MYwen+ezoZQrSlK/e2BIsgxuahnv1Te2vnBf1NTUS= H9/+e/f9Ae67giHQpXMNGUStyua/Qlg71CdOHobmXhG0tGNfieL7g3N9rU7mu7zq2wqI7S7UaZu= ZDIQxvg6MADweit3tEf56tagXi52zzLTNiCJEJOCbRK4vhmZWqFGAcXlxWdpmtbPdyMQBGFIozM= n8bVRU6wbCT+XJIqwWJz/LxbI5ZyTnTt3nuz3d94ZDgZncMYsJB7eM2CUT7I5942IGQ7Sj4BuNz= 2wof72ve3hs1l8XkTA+sQCde84Gz/R22mL7suxjVUIOI8tfXSkcbl7nfXR5/695LMm9RxGBMp5b= MlfTrrXL+XxiHvCAVGkXjsl/15z8zlHLJDA7XbTxvr6WUDPnjdRmxartT0/P//gUMpWFXU/gDN7= no1HIHMOk6ljtydF5kExv/vd7/IlUbo1FAgeC8TrkcT8Laka5UAClhoNM1wh7COAbjenn2W/d9q= GAx0/0CHGfNIZ0KCEcEoB2o8fLyV+ApT0venVDc12OafUKWSwd4vTAcABIAyEwvFzRbFTCcgMZt= AF/xyScBdwUruvM2vt2v32/W2dBQ2SeVVDs3ZZ1IBMQOMadu+BhQCcAYSwfIe4a/70gg8+OhRzo= 4jxReMrmxub5vW5kLBUivKeCRMmDMlFY5rmrthffQVbVVWAiJUANgyl7FHHIGTA7/dXetvaTya9= gi04BwgljFKhTbZYvA673Uw/HyQwOZPCoWC5qqg5w2M8jQDuL3h/aqtX+ZVfpxUZTac5IFLwbCv= b6ZTIZjCmgCWsdN2bh6d+1iypO2I/gbV7fBdE9I6LAHKIHC0GUQQIBUy9228vywCh3QKk62bk84= O+z8bf/A8fAIj0H8LTr+Wf0OVXJ/sibHpYNydq5qG3aiIgsIlCYHy29a+//f7MHcsvHvj+0UJtb= a3w9tq3zwsFgkXpPguhlOUV5b8eXwV70BCosFmUJN00jD65xqZhIBgOXlhTU/PyokWLjmgW/XDR= WFdXoWpacarWFgt5DTyBAAAJlElEQVQrJXDYHQedzqwl519w/lvnnXdeuL8yli1bVq4qykqN6N/= j6fISB4EeAriwZkP27vbOBd6gfpLJBbG/tskTKikoAA5ZgLfEJT9w3BTbE/dXn37IHLkP05z7bE= /zqXWdxkUmP5QAAom+mcR/JuuSpF4FCPCDxF2aAWzc1xFLDCYUAAUnCbtnyosByUWMSNy0WGjF2= 8cUWF4ihAy5thNW4KFaKDZ9uunMSCRyDTPNtGqPKIjtnPNnhspfQXbBnmDQX2fo+tSYrawnjdbm= 5jkuh/1rGzZseG3OnDn9zgctODzx2X3mPQAMw5Bqa2vl6urqfnPzKqfNOHnL5o1pMzMqKia+c8e= dd7yy6g+rBiYdweCTOvtBcshw126X20ORc71R/gOV0exDthPOATAIlBlOCRsK7eJbmQjfQKwQQs= EJBafCwAeJHSx+JM4zxA4ePxho8kg8kxrIHHOqdBuK4jMBEJix+SA4JubZWmeU5a5YfumcjNcnG= Um8+uqr9uW/Xv5Nj9fzK11Vj0mnFRFCUFRc9P7cuXMPDpXO9n3b601mvtDfd9dUraKxqfnm119/= /ex169YNaD0f7QUpLZb0fbSuaZMOHDgwe6BnC4sKT+rvGk3JGTxcEIGYZWjhI59WtgT1HwZUc1p= K3mNaEDAwQkE4h00Wu6YU29Y6rbaDw2WGE4Ck2+qqDwP9h4sd4kQGSAgjQYFD8E7Mk3503dw56x= 8dQklpeeFAS3PLGQuvvvoXya6Ait1dYVyxEEHBGJNeffGlSl03TlY1dTznXOxhfImP2K6sLE9Jc= dkzw1keoaqqylBCobVt7Z4ropFIUeoiUBwcnDPZ39V1qqYq9zU1NPx96dKlb8894QRPQWlpjwFv= /fr14zdv2OjQ0yQNjxSmHTMN27f0nMUQDiiKkrt39977Vq9e/cvrrrvu7XTP7ty18yUAX03XNOr= rD55z209vu+Qr87/yt/PPP/8Q6WYjk4slAsCihzdmNQa1al9UP9cwuZgYG/rLdU9YNQWBsopcae= 9p08e9dst5k/5fmKmBmPAV27m3zCn8qNKrvjpnTv/7QAwKBADn8La3nwbO5yRP97Bo9pqcADLnX= Op9XwKUUkWW5D+F1fA7w2HN7Xaz5cuXb4pGo8/omrY4NSY0EWXDGJOjkegMJRyd3OnruKpu334z= wVGCa8a5wJiZHQu6GJ1xsLGx4Y8Azu99npuMBPyBUz98/4O/3HT99XXFxSVB2WKBy5H1kdVpXXX= ZZZf5CvPyWwKdHQiHuneLI/HvEgoGSiKRyIMvrHn+rh9dey1P75Ii6Ij4BN008kZi+URxQW2toP= v511r90ZsiKrf3yTVLQ4SDgILBSsyOPKtw3y3nTdo1bE6SZQ8i0XKISBhhOYllbMQMvSY4EblAu= Dk+R9w3KZfepBd717qHuehOkmbyDwJwLgPdexKm/5Dd50g8GZYlykmOTtRwOFz/lO3Wx9xu94Bb= pmWCpUuX+n5x662PKao6N+APnMo4EzjnoIQmfWQAKCewA7Azln4iRAkdVR30pJNObf304w9DIX9= XbI+OuKU+xiMXDE0raW9rL2lvawfnHFOnTSspKil+AoAvGAm+a7VaPggFAqeDkPgKc0mXA2GmmR= sJhXIjof7pjySotXNy+Y4m/4/agkZ2jBXevzMyfsQMFxTTSp0bv/e1WetGghFGU4wfo3JwJPf/Q= 6J5x4LkCGFcliQl10obZo93vXje8aU/vOj6+WvXjJDwjRRShU8QRSU3N++9adOO+cOKFSsOjBSN= 4086aYfd7vqNxWr9RCCCTjgZcwvlLlx4xaeuLNdDVBSiMfU488V8ZVn2FRQUPOTMymohhPAjvRC= w6BLMO1Qd87KsYmwOhsw6L6vIvXOnlz5WXZU97J4XALIsFNnW2ELJo4FEFVMQzglUQohmmKZfoj= RoE3hnUbZ185Ri2z/PPm7KB98+MXdktrgahtUzfaMgoIIAq2xpc2ZlrS0dV7bqlttu2UAyiMzJl= JXq6mrT7Xa/QUSiBzq6blFV5Sxd1x29+ekTgtVPI85UDU3ui5qhLOQV5P1e09VxgS7/hZqqOhM8= pJsjp8Ltdmt/+tOf/gUIJQ31B69UFGWaaZrScB3rA7Jtmon83RhIN68i4UZraY68arB6n1Ni+5o= b/SO2uFJZlu0dgRi6GZ/vjDxiFSsLlBOBhqwCCeuq0jSxKKftlJlT6qtnZX0BAA+MACWn04nsnF= wwxoaninEOQikzdN1nGqaHCqLXapPr83Ly3z92ZtWrl1xySfPtt9/e7+OyLBtZ2dnMNI0eDUsUR= TizXHA40q8hFE+Cfevuu+9ub21sXqAoylcN05gsUFqWDINL11Bj80RompbRqOLxeMjMqpmCpqno= zqqN/bLb7aZDcvTbHS9btqx55cqVv2lraanzenynCQKdQSktAOc0lTLnHBaLNSiZUlKbufrqqzv= cbvdDhUWFO8KhyA/C4dBxsixPBSGuQfQBfcAB2Oz2KOW8hy+2uLhYUtRoj13aOTgEKkB88JozDr= lC8+HAo4tOfwnAS0eaj5FArqtgi1Kk/wxsOAsfx8yhokC4ouo+U1c9OQUF3lNOOaXu3HPPzSje0= 2q1tuTnF6zgMEtTo3yoSOFwOHbYbLYB12W97bbbtm7YsGHXxx9//FJLY+Mkxlh5OBQhbAAnmKYZ= RbquX8I5n9TjQpoheN68eYxS+ommaIt7l2OxWBRnXt8V4BKIj/o7n3zyyd/u37+/EqY5AwwFjPM= +zlqH3XGQyazH+qdut1vhnL/+5JNPbt2xY8cUi2SpBGNOYHguPqvd6qWS1MNEWzqudFMoEFjcM9= KKgVJxzAeuH8WXDPfdd9/3dny+9d5wODwpNZ6Sc0AQhecFOXvxk0/+cUwuzHUkMNZ3jzuKLxEef= PCx8QcP1H9T1bTS1POx+Q4gy7Je7HSNKcPWkcbI7xF/FF9q1NTUSGVlZdksZcGhQyEcDmPnlp0l= mzZ8eHskHL6QMdNKE3G5cW+aKIqK0+FsnH7S9H5jLP8TcVQAj6IH3nr9rZOpgKcJMDHTZxLr0ST= +k7rqQdzdwwmlBxjDv6+66qoxsx/IWMBRATyKYSNd8HY3OCwWS6SwqHBd5fTp6w8jW18KHBXAox= gdxAOaREnSsnNy11ZMmvTwokWL+t2J6T8VRwXwKIaNPj6/uPDZnQ5fbnbOE6Xjyx+/8cYbtx0R5= sY4jgrgUfRAUVERCOUDqJRp0L3He5Qx5uWM7Zetti0M7I1jKo79ZNEtR0e+oziKoxiD+D+x2J6c= /01EGQAAAABJRU5ErkJggg=3D=3D" width=3D"224" height=3D"58" alt=3D"" style=3D= "margin-left:326.05pt; position:absolute" /><img src=3D"data:image/jpe= g;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBA= QEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAAR= CAB1AO4DASIAAhEBAxEB/8QAHwABAAIBBAMBAAAAAAAAAAAAAAkKCAIDBgsEBQcB/8QAPxAAAAY= CAgECBQIDBQQLAQAAAQIDBAUGAAcIEQkSIQoTFDFBFSIXUYEWYXGRsTI6drcYIyhXZ3eGodTh8P= H/xAAdAQEAAQQDAQAAAAAAAAAAAAAABwMEBQYCCAkB/8QAMxEAAQQCAQMCBAQEBwAAAAAAAQACA= wQFEQYHEiETMRQiQVEIYYHwIzJxoRUkUpGxwdH/2gAMAwEAAhEDEQA/AL/GMYwiYxjCJjGaTnKQ= PUYeg7AO+hH3H7fYBwi1Yzb+amAAb1h0PXX3/P29uuw/qGawEB+wgOEX7jGMImMZoMoUo9D6vt3= 7AI+3t/L/ABx7e6LXjNr5yfYh6vt/MBAP9P8A+ZugICHYe4DhNj7/AL/ZCYxjCJjGbYKpiIh6g7= DvsPcOuv8AEMItzGaCqEOIgU3Yh9w6EP8AUAzXhExjGETGMYRMYxhExjGETGMYRMYxhExjGETPm= W49VwO7NbWjV9nk7dDwNtaIMZKSolunaHbGqKDxu+KeFttZeMJyFcGVappqOI54gsdudZAx/lqn= AfpuMIuuC8wzja/BPzTcNOPXHrk7y3gtTXBnoO0WSpWPk9ue4MJWTsW1Z6FmCPCz1vclcsHsdFN= G67BcijY5AVA5DAqcB7HhEOkk+/v6C9/kfsH5zrmviTP94R4H/wDCPGn/AJ1W/OxmIYATJ2IB+w= o/06D36wi3MZ6xaaiGy5WzmUj27g3QEbrPG6S5hH7ACR1Cn9/x0A9/jPJcPG7ZA7lVVIiCZBUVW= UVKmkmkUPUZU6hv2lTIUBMYwiAAUO/thF+OXzRoo3ScuEUVXagotU1FUyHcrAQygpIEOYpllATI= dQSJgYwEKY4h6SiIcN2ROyVZpFuscOxPJykJWZqWjo8gCczx4wjnDlu3BMv7jioqmUoFL+43YlL= 2I5Vg3J5VaLyp+IC4NcK9BW9pbtYcd5HZ09tW1wL4ryvWLckjRZqOJXIp63UFtKsqDDmXaSD1uZ= VmpYpWQYoKHNDnUPbNckKoUSG9IlMn6RAQ7D0mKIGAQH2EB7HsB7D79hlvbjkmq2IoZnV5ZIZY4= 52judDI9jmslA2NmNxDwNjfbpVYJGRTwyyxiaKKaKSSFxLRNGx7XPiLgQWiRoLC4ewO9FVAJfyn= cl9NLX/eNivSVmj6vFT9jlda2ICsYIrSLTWXThu0kiKx670EismS7Yx1SOFETehfoUzWwtL7Hjt= w6h1ftqIaPGEVs/X9P2DGsJFMUn7Fhca/H2FmzepiAeh01bSCaLgADr5pD9e3WR28hfD5wt5O7E= YbA2jXLcu2QkI+Vmdd124SNc1pbn0cuRwgpaqpGFIlKJKrplUetRcJNXnpD5yQiPqGUuHjo+Fio= 6Ii2zZjGRTJvHRzFokm3aMmLJIrdo0bIJgVNFu2bppoopEKBE0yFKUAAADI96YcSzvD8Lcoch5F= NyO/Zylu78VK+eQQwyem2OJjrL3yjfYZHt/lD3ODSQNqQ+p/MOPczzlLIcb4zBxehVxVWi6nDFW= jMs8IJfLL8LHHE9wDmxNeQJHxsY57Wk6Hs8Z453bVM5UzuESHP7EIdQpTmHvropREBN7+3sA++b= 3rKICPqDoPvklKN1qyu78QPxIdyvBTlDyy07unkNpHfemKAbZkZNaw37tqn1ycjKcuxWnYKWpkN= bW1YAj6tEk02y7CMYuCyRWjlVRYwH9VhJ7Kxkan86RkGTBER6BZ46SbJCP8vmLmTJ3/AHerIvvN= U9Zv/EX5C3LF03eIH4p7ZFNdsqRdI3dccgApqpiYhgHvrsph/lhFDh8IDuzcm8+EW/bHunbOydv= T8ZyIcxUbObNvFmvcvHxZaTXHBY5lJWiTlHjZiC6yq4NUVk0AVUUU+WBzGEbcGUzPgrFkjcDORq= IHAVEuSi51C+/7QUodZ9AiPXX7vSPXv37ZctUcIIlE6qqaZC/cxzAQod+3uJugD3wi3sxS5B8ye= PfFqf1pAb0vrahKbZk5iIqcpKNXRoQryGSYquxmZJuRVOFaCMi0RTkXxUo8iypSuXTcggccqCLJ= Kl9aRyqFEOymKICUwfjowewgP4EO+8rM+XLhPyj8g/LbWOv9Q1lpF6y1PrlQ09s25PVYekxljuc= wd7JM2p00HcpYJVOJh4UTtIGLf/S/NSI/XZFVKfMZl7dqnSdLRrG3bMkTIYAHO7y94DthvkNazZ= LtgN9ydKRulfGeL8s5hVxfNOQM4xxhlDKXcrmnTwQPqsq0ZnVRCbEcrJZpbrq0bK4jfJP3FjBsk= ix9EW2szsI3scNPRUtAPGpXrWbjpFm9inDM6fzSukX7ddRsdAUxA/zSqiT09G766EcbNfc5eMe0= t/TPGzXWz4i57Qrtce2SbYwAqSEIxbxz5qyeR4WNEoxD6abHdpquYyOcvF2iCa5nn06iYpjCPRv= BdyfqOoZvU8d5ErTXKpZCJGmKXW6VOGqBjlAwmbJgvfGz8jVQwiC4MCRSTxPv6pqp36Qweg/Hpz= J8Se+6Tyyi4dnyH1PRXj9S6vtUrPULKWpyLFdjMJztRm0kHrUiiC5lyO4x1YI5sokmtIO2RP3ji= Z8vmYvhJJcK+Ct6jPj5fWjsOhj3p5jji27tHhxe5vhjXfKD5Eq4LpH0hzTeV0Md1lpZnkTKlxvB= cU3F3uPxZnIsaH1IL13N1oahmsPaasVWrOA+SRsotOG66urgcoj0A/1/GfvYD9hAf65A9rT4hXg= VbxSa3ENu6kdiIJrjcKGM2xTWEQA4Eca+lLi8MmU3ZQOtHN1Pbs6RRDrJvKnZYe4wEJaq+4F5B2= OIYTUQ8M2dMzuo2TbJPGTgzR8g2eNhWbKpqCg7bIOEvV6FkyKAJAzlTIUrwcaduG12a7zE8OLd7= 0HN92nwRogeQfsoR5TwLmnB5K8XL+MZjjzrZe2o7JU5YIbZiDTJ8LYLfQsemHtL/Rkf2hwJ0CuT= YxjL1akmMYwiYxjCJjGMImMYwi65X4kz/eEeB/8Awjxp/wCdVvyzB8R55JNo+NjgSxu2j0F2m3N= 0bBjtO1C5A0K7ba/JIV+csU5afSqRRsMsjFQSzGATcAKQSbxJ2YipWRkzVpviQkQc/EM8CUBMJA= WqvGZMTgAGEvq3Xbw9QAIgAiH36Eehy235oOVXj84vcT1ZnyAUCq7uqM5LkR1zombhI6xTmzr9E= NxcMWdbi5EDIslGBHJTyVjW+WyhWjkTOFFBcJtXBFjX4vuHHC3mF4+tJcgrBXNtbStu86EM7cto= 7o2HfF9uubiZy8i7O+ay7WzJoQDdrPs35q6FaBpGosE2SzIgEEAyAzgRvPZ188oHLHwR8od3bz2= 5xZPsDbUJq+YHa9wr+0qmXWyz+Wiq6rsaHkWtqk6pO1kh42chH0isiu8btnZPQUXCS0yXFe/eeb= kRqCh23jpoTx2eO3jI7gmJ9P6n2s32xf8AaMbRDkKeDWkIqmM4+rx6LpiYjlq0NHVd4VJUhlY/9= 4Oj1ivFIfaKnxVNxLu2cq1l20juHk+02FPUeMkIanytpZVqztJR7WoqVXdSUdCrOETGj2j5yu5R= b/LIsoc4COEXDOOnB7SWvvihLZwr18vsWiaXpex7PAVo9R2Pa4G+RceTUkZYjFQvzCQRsvzl5J+= 6M5XF98xdFUUFDGT/AG5dw3n4zuPmoNPbT2i/5H83YJvRKPZbj+rL8vNxPk4s8BFuZJuqRnIWFd= m7L9QikmDR2ksg59QIKlMVQwDVS1H/AL53tb/zitgf5aHgQyy18SpyXLx48Zl5h2T36Wx74u1B0= zDEIqCa6zWfn2j+wimUP3HBOEjXXzAD2FM5gN7d5b2iRVsaJB9CXRBIIJY4AgggjX5FXNMB1yqH= AFpswAg6IIMrQQQfGte+/Cj18cKGyeXW5JKg7U3xyAGmjAPXia1U27cqnNi+QL9SyOSYiJJBymA= pFMLhIogRTv0mL0IAEAPF3m35bkPL3yN4d8U93bJ3VY1Nnb/0LrRrvS+z1so2pavAbAewSe3bMz= fneoya2v61EGcFWdou1nT1YnpbSDxZNm4sm+FuHPD7Qp75UPQtOw1nen7D0j9MkxI1bAb2/cAlQ= MqHfsIKAIfcRyCzwelAfih+ZoD7h/EHm/10P3D+KzsQH/QQH+uQb+HrK2svxDMT2bU9swcsy9OO= SeaSd3p14qbQGvkc53Z3F5a3eh3HQG/M5/iLxdfE84xsFatDVZLxTD2nRQQxwN9Sd9xznOZG1re= 8hrQ5xHce0bJ0FOZvH4cfdOxNQ2G5uPKpzhsfMxOBeWFnsKQ2NIQeo5W8t2aj1KJb66gFkHlaqb= yQIVk2UYWB1JRiChHagyIomZq4MeDjz+bLrHCznUhz0ssxtCw8CaUhdICxv3RV7xeI1/JPKfF67= kphUolkJda8IxUFGTr0FVEW0sCz0y6LQTFvUOwD6RwX8fIUD+noEM6ZHU0mEdxy8zaQqKE/VFtT= xpQIIh8wynJxV16FOvumJWgmEB9vUUo/jJ6UBq074ddZbI+IX2hyS5keQPcm1ZTUNEurSk6y4y6= z2Xbtf61gXEizNNFB02rMpGuXrCEjFWbFuK6n1cs9F0/k1lhMRIv13zd8P9t+KHhjvTYHDvY+zr= lwy3vSZ3j9yL427dvlj2FDayHaDBWu0nbeq56xu5KcgQjLK5YRsxCmcrMFvrGaPpKg6UUZ+6+Cd= 6/6IPLDsR9t+wnQd/n+xEf10H+ff92S5fE5rFQ8JvMswmIQVGOpEQE4EHsVd3a5IBS+oB6OICIF= Ev7g9/T/ADAiryfDU80NdeP3wx+QHlds0RdQOsN2fVRcCioVJ9cLjK0qrxFNqEaY/wDsOrDYnrB= gZcQMRk0UcyCxRQaKiEinh40ttjzH61s3kQ8gm7tx2OBv9/tUHpTjbrnZdw1hpvXtRrsgLAzlxE= 0uXh3tlfrOgXbNzzLxdMjdsR4sms/cGUSpVRthscZ8P7aIOMVXSr1k8ndZTs/yjGBJf9K4/Tj+F= bOSgIFOmZ6CjpMp/Yq7JI4fuKXLh/go8ULPdvjK41bbbc5+e+pE7rD2CWda705uuGp2uod0axyT= dYYSEUpUm8aA4FAHC4nkljKuTnUOIFEE8Ivpvk7uu4vAbatJ8oNH7G2ptLgdt/Yf8F+Q3GbZd9n= 7sehvp6HkJeHummrxY3shZ6lJLxUNYASZHkVo9vJRbBAqR2kkcjPBrzqaq5L6X4p6E8kfjQ5ccq= 5PjRYoqIf7grLremwLSpHQlzBrKUvYDZzJy7p+yhQXVc1K2NGzkSxL1zCOUCgkd+4SnB3V8O3x/= wCRlK/h3yF5keQXc9ELNsLGlV9hcgI2chkJyLRet4+UTYnpCSAPmqMg9TQcCQVE03K5CiBVDAMk= WruCvHrSnB1vwUBOYtXHeE1pPa5eI7FlW0zKr02UQf8A1xZeVO0ZtTfRJO1lW7kGqBGfyEVCgX5= Xqx/f8j5H6j2P6p/15H9fuo3/ABsc0OIdm8Scty+e7b2W2ojmoya/IRa+7cud5vFC2XDwLOBtFR= rUzOyjuehnr94LRepx0OuiL1aYj3zABUdfNzhPjY4A7O3NWLZyp5RbV5Y1GvbjtzW3ceeMT7kVs= 5VDUml2BiDVU9jPF5w72z3TYDUEp+0wkssvFQ7Fy0hk2ibg8iknRt0fe6J44vIlEah2VZb5t3xY= znLUbWiDb9ZhdZbfb6rnZuq1TYqTZ+2IwuLTWU5KIHn2zRRSOmlYVAFVlE0o9UnbVUuy1a502u2= ukyUdNVGxw0bMVuViFUlo2QhJBki5jXTFVARSO1VaKJHRFMfQBBAodAGNA+CAfp5A1o+4O/ofqD= 4TyD3N2HDRBB0QR7EH6EfdU9fLD44de6Q5Z6H2rUCxVL0VvrZEBA31q7UTZQFHtico1dSzgFTAR= BlD2aFBy8KmYSpNpBm/6EqTlEidw+nJw7auQTeBWbOYZtDRreKXYqJrNFY9Foik0UbqJGMkdE6B= SGTMmIlEoh6REPcYWPiBY6Ic8Aph0/KmD6N2ZQnEOc4B80jxV26bK/JEQE3qO0VXIYC9CJRN2PW= YufD87u5gXem2KiXeAfWfjfUmwNqTsqzO10JKClyH7PT68o4QUPaof0GFRUorELXzgCabs5VyMi= abUkrYnktzHRVnAZOKK4JIWlwiewOY9j2NbpsJcC/vaNB7vm/mC7acpo8m6o/h04l1AyvI673dM= sjluKTU8tOyCfLU7ElGapZpWp3g3MlXhkgpvrO3JYr13yROMkZa+zqBgN3137fzz9zx0BN0IGEB= HoB7AQ/09x/P5Efx9s8jNy/fjyupYO/KYxjCJjGMImMYwiZxi53Or68q05drrOR1aqlaYLys9PS= zgrSNiY1sX1uHr1wf9iLdEv7lDm9ih75yfPEfMWcm1WYyDVs+ZOSCk5aPEEnTVwkYOjJLt1inSW= TMH+0RQhim/IDhF1tXnw27q7cfnS4Nbl1PdonYWsKvWePyVsvdWOtMVevOoHclskJVCTl2aCjVo= dhFKtX7sqygCgg4Iobopux5R8WTZFt/7m4pcrOP11h998dtLVVao3oKC/WsUJrbYL26ntLc9xTZ= kVQhm+w4OPbsIyUeFTRdnqj1kZUDot01OxADWOt/+7+kj/6Vgv8A4Gbb3V+uZCIlK+7odNXgZxE= qE1CrViGUi5ZEnr9CckwFn9M9In8xT5ZXCSgE9ZxJ0Jh7Iq82kviTvHJceOGt/wCHFmt955CSNL= rVdgOLVPodlf7Ol9hpQ7aMRqMazSjRjSx4yqIJDYRefozWOEXyjj5ROhqy8K4LYPCr4myIuXPCW= rGoLJsl9f8AcVinZ+RThKUwe751y/t7KEa2SV+kjXJICXsKtLeSKapWKk3DvUkjFIBSh2LmteHX= FbTdkc3DVHHbS2ubU8EwurFTda1KvTKwnEBOJpKMi2zsPWIdm9KoCP5Ec5lsbj9pDbzuPf7T1Lr= fYj6J9P6W8ulKr1ldR4FN6wK0cS7B2qgQD/vAiZylA37gDv3wi66Kd3drjj18VopywvtmZRfG/b= +1xl6Rul8m5Z69sNdsesoqjOrJB2VwinFzEDD3CPk4F5MR668cRyxVU+oFESqGyZ+Lf5ga831N8= GNbaN2NB7MoNU2BZLHfZ6hvxslPZXB0pWmFXiHFoiyuK4vNFh1J17+lN5Fd+3bqFXXRRTMQT3tL= 5xo4/bRiYGC2RpbVl6hqumRGtxdqoVZm2ECiQAAqMO1kI5wjGolAP2pNCJJl+4FAc8SZ4x8d5qn= xuvZfR+p5OiwrxGRiqi91/V165Gv24ACL5lEHixZNnaQAAA5RSIsAAH7uvbKUzDJDLGDoyRvYD9= u9pbv9N7/RVYJBDPDMW9wimilLd62I5GvI39PAVQvUMrZbVFVfXmn+QdY4usrJXGVRuvIy3rMYZ= LXlDfMEW1u/sXJTruNh0tly0YReKrDp0qq3iZJ2Micp1WqJTw8+FHaen9PfEb8obXdts06C10W1= cuImF2PcblBMYGwJOdgqFhH/APap47aw8g4nmiJXyLpuv8p+Kh124CmYM7H93xu0BJsP0mS05rG= QiO0zfpj6k111HdpdGSEWazFRERIIAKYin2T2EB7989IHD/ieHX/Zx0WJi/8AhdSv6e36P7D1/P= v+n2yMuknT6bptxu3gZr8WRdYzV/KieON8ehdEPySNkc4l7TGfLT2netDSkzq51Fi6m8mq8gix0= mMbBhKGKNeSSOUuNH1f4rXxNYOxwl0GuHcNe5348278qONtErlesV23zqCpQF6h1Zikzdi2NUoi= Kt0T8gioSdZfvZZFrOMBTWSODuNVcICVVMQOPrL31fXhy0joPlzOeXXjhuDcmuNQsd26sdfwtvd= /tsFW4NpsSC2xK2miyzd1Lv2ackyQmGsaaWQYqKuVIJ29+SX1qENnaAz2vOOErMU3Vdl1/q2YkY= utSDqiUyXqNckSQ1Vh1mLN8NfjXMcsjFxTRVywbHTZpoIAc6KYFEQAAxq2fqiho7e1hqrVvC3Qd= ur86Z1Nbj2BaqjXYKva7pTYxEmiUO2ZVORUtl2nnvzUYqD+fHMmrdstISUggiCZFZSUXKnt8M3y= xofiy2rye4Ic9Z1nx5tF8s8Be9aWm8LpxuubeeNjFol0tBXdTqBkIufjSR8xVpxu9UiZ5isJmTs= 6oeg2cnxG3kh1ny24Y7g4RcGpFvyatB4qP3ByOvGtlEbDrnSWk9QSCWw5R/Zbm3MaBRnpuWr0Uz= jIxF+q6UbkdJkSO6cs0jzPc0ovRlh5Z8KOIm+OGvGfe2peR62yazW5i+ViPmp7W6eptcvLgVuyr= 0tVH8K4jHhGbeKYtWUqwBg3E63oUBMiBpE9TcRuLuiKdMa90zoPT2r6PYUFG1gqVI17WK9AzbZV= MUlG8xGx0cg1kkFEu0zIvE1kxKIl9I9jhF1xniR456T5w+D/AJscQbNuPVOvN/TnJOv7L46xF7u= 1drcpMbMqtRg0q7GMY+UftX7hpc0nMxRRdNEFyN1p4HAJrHaCiawv8Nbz01tpjjC88b3LawRXHL= lDxeuVrgzULcEmxojqx1KTmF5FhJ19zZHEezkgYOV3TFyg0cKnOQrZ62BZs7SONm9Hi3xqbvY+R= baI062kIp2hIRr5vriooO2L5qoRVu8aOE4oqqDlBUhVElkjlUTUIU5DAYvece3dww4lck1kHO/e= Ouk9vum/QN3mwtcVS0PUeuwD5b2WjnLoo9D6QEFewL+0Og66IsNubHlB09qylzGseOFtqvIXlve= 45xA6m1FrKfjrg4jZqTSO0Tvmx5Gvrv4+i63phVBnbRZZ90xboNGn0iHzXrtsieI698q9a2apaA= 8QmuOaVAeOJKksLf5AeYr/AG7AJtoWhSkiZ5cNZ63s7+c9MptHc1ikXtejUIx26CjUlN88VQIs4= ZGY2R9L8ROLnG+Nk4rQmgtP6iYTCZ0Zdrr6g1qrllElCehRKQPFMG6jtM5P2nTXOchij0JR9srV= b58gNM4Kc1ds6ruvHTUu7tEP51OwVNdCmVCHvtHF2oZvNxETLKwqzCci4qeZSbZvFSqTZ02UTAr= aaRalI1zH5DJVcZHHNceY4ZJREZAC4Mc4EtLwPIaT4JAOtg6IW9cD6dcn6k3sliuJVYshlsfjZM= o3HPnZXmuwQyxRzRVJJiyB9ljZfWbDJLGZIo5fTLntDHZheZ3xd8R+Qfi0X1TFm1fpRrx1qjSwc= Zdhyb6HrlcqMw1Zt0GFeXsbpRu2PCbHQ+VDShV3QhJyTyPlRMo/aoK5BL8L75u4PXcJP+OTmnsq= CrETQRk3/Hba1zsrNpBs4xiuoWxamm7DIOgj/pI9VM01Qn5nIJKNFpWE+YVFvCpDPmp56PHxdqK= 4Z22kbFdwySLMj6ozOsG0/DoqEMUzBm6EqjyAIKaiAfSAqqUoHSKZEOyAbI2dz+U+l8nbNXeOnB= /iRrqiWXZ88wpzXaF0oVJf2WPTlnBWqzut1iNiVmMa4bt1FXQysnJPVGyRDClHJLkI5RsZ+S4aK= IPbdisPfpscFcmWaRz9BrWsaDruJDe52mg+5AW7Yf8ADn1fytueGzw7IYGjRD5Mrmc+IsZi8XVh= YZbFmzPNJ3SNhga6UxVmTzvaPkjdsL7X5oucGlds7V408XIWbith6zY7BqGwd1SVcnE3MM+ipRw= 2ZQFdbTMYsdBU4REg/nX526xwQTXjCFUKodQE7P8Aq6l0eiUarVTXVeiKzS4iDYoV+FhWqDOOZx= 4oEOiVFJAhSGMchwOqsYDKLKGMqoYxzmMNaas/DU112slL7C5ZW2Tk3RyPH39mdaxUQom8P6VVQ= I7k7VOAb5SvZCKfSEL0BTFSIAAQLN9ArA0mm1Wn/qj2b/sxXYivhMSRECP5QIlggxK/eFbJpIA6= dFbgsuCKZEgUMYCFAPSGUsLFkzcyV3JVoq5tOhFZrZGSSRRQgs9IlhdoDXcTsAucTrRCynWHK9N= I+G9NuH9OOT5DPt41FmHcjdNRyOOo3ctkZK1l2UhgtwwRvc54nqxHsdJHTgrse7fcTzEpSl+wAA= /n/wDe2asYzY117TGMYRMYxhExjGETGMYRMYxhExjGETOJX20s6PSLfdZEiisdUKvP2eQSRKJll= WUBFO5Z0miAe4qnQaKFTAO+ziAdDnLc9dLxbGbipKGk2qT6NlmDuNkGS4epB2xfN1GrtssUfYyS= 7dVRJQo+wkOIfnCKDHj9unnDvvgzrDyBa7t05edk7QnCbGZ8T2cJrWO1appx9siQryOu4KTWqKF= +St8Tr5BCxGuMpsByo/uDd6VRkhX3CEE2xp528+ORmioHyJ7ER3KNetfHF3rqV43UbVUZFbGpcf= XRja25skJyUaloMuzr1mtco/lGTphOXZhKx8QrHuKw0gVUyykjK3oLhnszjdpeC4q632vEM+PdT= nLGSpP3ME9NtmvazsNolrSbV7aYSkCQyposZp5W4m9iilMNK4RoUsT+stiS+YSXrwt3a107nBoi= L5XO4HjRzY2NdtzWSpn1kyldoVbYtyFq/Mwb7Lc2dMknQGFgj4yQ/RFq8jMOI9glCJTrJsq7Wck= XAKLAXPYnmgo16JvbdNebX7x41HcKlTZSGu5OswiE3e4F0819Bxlk1tOJxFOfB6P1NzHC3u75YB= XUuQKFRFL4hy38i/Izj1ReRu4lNwIvtmam5q1GgUXXmtYyMv2gXWg5C+1usHoOy5xGg/SV7ZUpA= SElIzxi3811r9kBu1arQ7Iow7iVGncAttU3kJpvkhG76qwXShcbmHGS4xp9WuVoGfpkNKw8pES9= dQPdwdw1gQGMXRcLSTuYZODvfqBZARsm0PhbYvBvsCwccdv8Pz8v3CPHm17rm+QWt4s+qGK+woH= YEvfEL+3Y7EvA2wo36qRUqRwRNmhFwEvIqrpPH8ucjJJici+086XwJeTTw6ySpTFInZuWL45Q7M= IEJx8lVxD7e/sHQfzzH6H5qcntweNbkh5MqLtmUqM7rSy7fvus9NmrVAfate6o0faV2itFuaD+q= Obq/k73WISVUl7CwucZMw82/ZKwCzFiyUYvZAtzcLd27b5B8Pt/O9qa6TluJyuxXyEQelTjVhdH= 2zKU9pEugsVKwvVYZhFRzoi0b6XEg5crpCLsxCqiVP42v4srfFcfd3cKaNuaIqvEffF1tFjnokK= o5d7SpVR2LY29j2brClzoyycAMFZD/qsTCzklGDI1WKm3KabCWXatVSkWHujOW3Kvyq7p5HIaG5= K3DhxqHjbqbTT+pxtAompbfZb7ubbGt2+yVHuyH+2KJeBW19V0XbSFJWaonWHk6RRy5XnGyqSRi= 4FcFefXka3PyJ4s1TZPKtOSg+eOydr67tEPC69psa50HIcNmlzW2r/BlvJV2WrzdnttdlV49rI2= QlvexrU868TYt5IIt4054ttDSHGzndzgYaX5w8YfHtGBWtccaL9qzesNJXOwWVzrigxjCr71o0S= tO1FjCy7CszH9n4wV39jip1RgD6eYGXBNIkn+kfHDxksHH3g9cuDm9K9PWfh3dLTsXT3IFq7jNk= 17Zc5sZhIQ+7IzZKMHJNE5FhshOTeKSZImSjpWrSqbFdn8wGi7N2Rfb+PXJvY8H5AeWPBfZ1tkN= iQ+sNQa35Fap2BPx1dYWhtS7ksrB2el2pxVoWvQ0mNenk2jiAmDRKEo5jHrhCTXeLNCOlKbfJ/k= LRdj7l2jYrZQ179PsNxbTfVVZ9ZXcZTlK5Oz6btmynWEOk2sUulGybaUeM20fY6+mcswr89y5ST= K2NbT5BazT4Wa/wCd3kF2rb4a1citzasrOtm7mCjl4eq1OAgGatd1/Qqgzfu3Uk7B3YZs85YJd4= qi4k3RW5ismqEen6qHiqyrg67hYxjrOFFVlTmHsx1FTCdQ5h/JjHMYRH8iORvz7IGM0acZaXFss= 0jXNa8BpIYwlrgR3Eh+ifbQLdEL0U/AlwSLJR835beitMrxWMZhMdYgsWKchsRxT28iG2K0sUoY= Y7NZkjWua17JA1x+VfdGG69uvzSDmGkY9jXK7FqP3VHiq/CMaAnDLv2Ea4avaahHhByiCyr1mk7= cSrV7IOfSm6cvVnaRHAfYNDb/ANZak2hUtw1uqS1O2HGWWsJqRsc8K/ocXHLTrBW1WCvryDlSwQ= 7hzBJPYhGBeqzKDUZBZ60mkipIMEfW8OdbH2gfkpCItTOnUXxc2PZ2RSEMocj2vS9TkUDEIX7m7= THoDB0PQ+/YF6xBMxfAQwnYuwAAETGFssUPSAfkfQAB0HfYiIAAB980Js1ms2pa7zJ6rnviMu5P= SfE9rS6EuJczwQAGEN8kdp0Nd6J8LxjkNrlHFfh/gG4+vRqXm0JXVfj6mXpunEWRijd2XY3PE7f= 8z6j3APcyQBxXao06fjrVW6/ZYpwm6jp+Hjpdi5RMU6S7WRZpO0FUzl9jEMmqAgYB6EOvcR985V= 0H8gyvn4JOesVvHRjDjbepcqW29JRZI+FI7XKDm365ROCUM+aiob5jh7XSKEh5NIoCcGqUc8H1/= OXFOwMkoBx9hH2D3Ae/7h7/ACH2EAyd8bdhyFKvbhcC2aNpcN7LZNASMO/ILX7GvqNH6rw26hcK= y3TzmOe4lmYHw2sTfmhie4aZbpOcX0rsLvZ8Nqs6OVjgTouLD87HBb2MYy+WmJjGMImMYwiYxjC= JjGMImMYwiYxjCJjGMImMYwiYxjCJn4b7D/gP+mfuMIqnNy1P4+Ljze5i3HzBaCr83ttTYLavcc= Zm9aUu07ry0cdGsDGlqg0aU19VXsPdrn+qKyaU+4sq8teI54CMZGHaRaTdvkjvhk4sV3jFr7ks6= 1bQLfp/jvuDkXYNjcetSXVKwR8xUddrQMHDkdhX7SqtYK0ws8xHv52LhJkEZJlGuWpXjdusYUCT= UdAP3AB/pnpJ075KOkVotsk8kUmTlRgzWV+Qi5elRMLZFZf0n+Umor6CHU9BxIURN6TdAUX9/uP= uPy/P7ff2QAktA15c0fM4NaO4gbc4ghrRvZcfAA2SBtVPfiOuVhX77WnEetSJTJRy6ez9looKgI= fW/TuGFLhnQEN3/wBS3cycysgcPSJ1otYAAyZRCquBui9fkfx/L2/yH3/HX88tqW7wPcguUO6r3= vLkvv2r1yV2BZHs07hKTGSVmexTBRYQjohrJSpYpmKUbHlRZI+lqCYfKExQD1dD7Tkp8Pfqamca= LtK6Jsd9tO86w0LY4layPmQxlkbRCDheVrreFZM0iNXcm19RmC/1S5ivEWyA9JKqZEmYwOey927= knVhDE0bgimlHqGvC0drI427Pc4dzgNsHdIdnwvVjo5116EdJuGcN6d1+TOyWWnlgObyWOxlt2M= izeYlhddtXL1hldjqtWWRlYTR+qWVqzX9paDuNnwTa/LsTffImDUQKsg+4pbHhD+sOyFUsUlXox= Eo+w9Acxuug9xEvt9g6iLY6ss1j2eXVdXaBL26QuC1PiIVoRyo8dyv6opGoNSpg3EQH1k9Rzm9i= JgY5h9JRELGfw1lEepbW5WWmTYrNloCm0ukLJOkTJqoPpafnJCQZLJqFAxFkhrqBVUxD1kHspgA= RDuQXx++LIdTcvuRHKXasIkU6e07yw0FCO0QMLKEkJR2q8vqiRy+kir9u6GOr4FDsjYrx97fUNR= J8pcfmyuIwIY17Q63e+Jk1r0q5maHHz9Q2MsaPq8j+q58s694fpl1X662rliOxPFxfgx45jwWOG= TzcWP7IYG78CFoyrLNl7PLKsUrgXO7Qo1tG+CznxpK8UvcGs916wpl6rLhpLxyqTidOdsqchDuo= mSTKy+nfsnKZjspFocDt3CZjlEP9k4W2tRn2Qej10NtoV5DYScYmjaAqjl06rq0mib5aruKO9TS= dptnYFKuVuuT5jYxzI+o4EAw/RU0PSIAPfQe32EOuvt79/f8AHf5+/vm+UnpH2H26666/v7+/Y5= I2Mw1PECRtL1mRyHudG+Z72F3+prHEta4+SdaGjryR589OpXV7l/VizTu8x/we1doNfHWvUsTVo= XG13nu+ElsQfxJ6zH7fHHM54jf3OYWl7u7XjGMyyi9MYxhExjGETGMYRMYxhExjGETGMYRMYxhE= xjGETGMYRMYxhEzQZMph7Hv/AD9vb/X+ua8YRbQIkAfbv+4Ow6D/ANs2ToeoDB17CIgICAekwCA= h7h19uvwI9fgf7vLxnzQ/f1/r90/93+oIP/IH+yxa0bxV1hx8vG8rtryL/SHG+rjGXW1MESJJMW= ktHRYx5yxqaRSCg1duVn8ooh7kI9kHQpgVMwFDKAqRQEDAIj+Q7/8Arr/LrNfoL33179dfn7f4d= 9ZqzjHFHEzsjaGMBLg1o00Oce5xA9htxJOvc+fdXd+/dylp13I2p7tt8deJ1ixI6WZ0dWvDVrsd= I8l7hFXgiiaXEkMY1u9DSYxjOatExjGETGMYRMYxhExjGETGMYRMYxhExjGETGMYRMYxhExjGET= GMYRMYxhExjGETGMYRMYxhExjGETGMYRf/9k=3D" width=3D"238" height=3D"117" alt= =3D"" style=3D"margin-left:97.9pt; position:absolute" /><img src=3D"d= ata:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBA= QEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEB= AQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQE= BAQEBAQH/wAARCABWAKMDASIAAhEBAxEB/8QAHwAAAgIBBQEBAAAAAAAAAAAAAAoICQcCAwUGCw= QB/8QAVhAAAAYBAwICAwsFCggPAQAAAQIDBAUGBwAIEQkSEyEUFTEKFiIyOEFRYXF3gRlCobG2F= xgjKHJ2kbXB8CUzNDlSVtHhJCcpN0hXWGZndXiWpKa0w//EAB0BAAEDBQEAAAAAAAAAAAAAAAAB= AgMEBQYHCAn/xABAEQACAQIEAgYFCQcEAwAAAAABAgMEEQAFEiEGMQcTIkFRYTJxgZHwCBQVNjd= 1drO0FiMkQmJmsVOhwdFygrL/2gAMAwEAAhEDEQA/AH7EH7N2kRdq5QcoqlA6SyCyaqShBABAxF= EzGIcogPICURAQ8w8ta1TAokYCmDnz44MAj5Bz/f8AWGvNzxluDzrhd4m+xXle+0ZRFQqotoGyy= TSLWOQQMX0uHFdSJfFAQ803bJdMQEQMUQEQ0+JsFypdM2bRsJ5OyFIIy9wtNWVczsmk1SZlfu2s= nIx5XRm6AEQSWVRaJHWBIhEzKicxCEAQKG4+k/oczPo1pqKvqM3os0oK+rajheGGamqVlWMygyQ= uzoFKKwukzkG1xbGoujvpZoekCprMvjyqpy2to6UVUoeWOeB42fqiIpFCNqViCbqNjtvhWSxdV7= etgzP2WIWLyYS5VGAyneY2Pql6iWM0xbxbKzyTZswbSCKbKaQRbt0yItQ9YqkRIUgFTMBe0bz+n= V1XIvejbV8TWPHTql5NYVp5ZFHEY7LI1WUYxi7Ns9O3OsCb9guVR8gZNBdNcihRP2qlEgdyie5H= 5RGdPvbyJ+i2yurQegxz+/fkRD5sOXLn7PWdbER/RrofpH6M+Cn6MKniOnyOloc5oOH6KuhrKEG= laSfqafWZ44SsM/WF2ZjJGz6ibOBYDQvAvH/F0XSDS5G2c1VZlddn01LLS1jCpRIZJnGmnaQGSE= oqhV0OFsPRJ3w6GiHBfr+j+n/b+jW28cJNGyzpc5E0W6ZllVFBApE0kyiZRQ5hEAApCAJjCPkAA= IjrdT+f8P7dRr3m3F9j7aduKukWcyUlW8PX2Tj1SfGSepV1+VqqX601zpnDz9pdcKIL6R42tYcr= 8gAPDHa42FvDx5+3Cq3UN61Gerjle3Y32w3NbF+LqlLSEAFrr7dme03V3HODs3cmSYeIOTRUUZw= kp6vSiit3R0u1dV4bvAhYLwm4Lqx2WNbzdfyFvenIeQIC7GVhP3XJGLepH5EqrR6wZrM3CI/mHQ= UOnx8UdcL0s8O13Pe+zBNHurNKXrfruZts5HPEyLt5VOoQUnZUWTxJQqhFmzyRj2qTpM5TAqidQ= o8CbkPQ5aM2zNui2bIpoN0Uk0UUESESRRSSIBE0kUkylImmQgAUhCgBSFAClACgAarXdYLRrGpO= kFmI57jv9m3I+vBhXrpJZO34vnO7GUz9JbjZteuYRJMY2aZkjL65ZHt7Z5IKpkr7S0tU030kqVJ= BNZqwA7lZESkEolENZ86Ve8LqBZ83C2mn7pqVY65j6Px1MTMU9lsPTlAbK2FtNQzZkgWYkmLZu4= VFi5fGKzKoKihSCqBRBERC73OMi/gsOZTnYd4vHy0Pj+2SUY+bmAqzN8yhHrhq5REwGAFUV0yKE= EQEO4ocgPAaWO6Ju8zcvnHdNf6xmvNtwvlRhcQWKwoxdldM1mDF8ysFdRJIl8Jq2MRRBqu5IBzK= CUqah+Q9mofTEr9Wl+xewsVvZRp57Ejcdxtvc4MNiicge0xQ+0wB/br97i/6Qf0hpMzd31fN3+f= dwcthXZs8mKtWUbS5ptNZ0eDay1+vb5g5VaqSazx42kAaN3jhJVVs1YotitGZCKuXZhFQxeSgce= e6ERk4heQWzqEYaRjlHoL3/EQADEXKRnILIe+UFygDfxAOkKYKh5k7AP8AB0hhYKCWRSeSsbG23= /Bvz9+DDkPcUfYYB/ENfgmKHmJigH0iIB/bpOzq570N32EN4aWOMW5wv1Hhi4qxc7WrcE8ZEbDY= 5WIP61X7DM1+908fF/hjEVMmZT4vwdRiyNmjrZYSqBMnZJs25WpUloqxVUs87GRrqAQ9NMQWJpA= 4Rzxsi2dmMQiZnpE0FTHKkBhOcCiohJCnWg12sCSCb6duW57XIXwYexAxR9hgHj28CA8a/AOQfY= co/YYB/t1Rb05OqQ/zFs9zJlrcH6EW1bbWSzi5zcU2SYJW2IWYOHkC4SZAYW7SbfLthiFk0exsu= 8O3XTRSBUyZaNLX1QuplvLy49gNuT27wSTld46ruNML11KRfR8IicfDczcspHPn6xkUhTB7JOnL= FgCxgAqaYCQBasTFmUlVCGzMTZbkAjzsb7eW/LBh5pYAMmYO7tAfzuf9+lwqVvS6jMr1JSYOmqR= ZUts/74G0U4bApheeaxf7n0fJTCMW/wDfwdgWO9HVbtWZizIuRQXA4KFOIKhqPeytPrOBunwobc= IhuOJhgLd/xgmtjeNLXSwnqmS4CWFJMFAbi+FoHwB7vEEgewRDXS8b70t1Er1iS4MkM5Xd3iP99= ZdqcFCUdsxggq8fL2FFlDeADMFgZtkmzciRPG7wKkTkwjzpQlmbeN7R6gTuF5agDt2vL4Bhvchi= 9oAByiIFAB8w58g48wAfLWoTFDzEwAH0iIaW66i9L6vs1udsL3Z+plMuFTV2tkigq1xx1DxPrcj= VQJjw2VinGEmRUVxJ4plG5Uzm4FMxg9lWmZMp9b/anBsMl5pt2badU0pZnHknJeUoNtrxJFyYws= 2UunBrT7dmR+ZM6KPrMjZN0flFBQywlLpEiLqpDoWaxCk9re2xAA33PtHswYeQAxRDkDFEPpAQE= NGlYsPe6ClksaVJHKtCZymQW8eq2s0nFKHj2Ei9bPnaCL5FkAKFbC7ZJtXCyJDiQrhRUEwKTtKB= pDFICRo5G17jy8/M+7Bhasw8FH7P1+Wn4Olf8gbboH/dB8P4BYJoP7Q0g8ceCGH6A5/Tp+HpXj/= EH25/XT3wf/YZgf7Ndw/Kp+qvDf38/wCilxxh8nG44oznwbJWv/61UFv/AKwkPuQ+URnT73Mi/t= dLatE6CwCO9+T+5q6B+IyNc41V3uQ+URnT73Mi/tdLatF6Cvy35L7nLl/WNd1sPpB+xbN/wpRfl= UmMG4J26V8oP9ySfmzYdATHnu+oeP16j5u4o7vJe2DPtBYF739txNeoRgTz+G+eV5+RmTy8/huf= CL5fTqQSP5/8rQ4RK4SOicCmIoAlOUwdxTEEBAxRD5wMAiAgPkICOvNgHSQQL6SCB6jj0HG4B8Q= MedD05M5wm2DevhfJl4VGLrUHY5Ss3By4KcgQ8XZoqSq0i/ckKUTlJEqSBXjkAKJuxqcOOdehXC= ZLx7YYtjMwt3qcnFSLVB4wkGNhiXLN41cJgoiu3cIvDpKpKEEDFMUwgICGlceob0K8o2bJlpzDt= GNXbDFXKWeTc9iiXlmlYmIiYkVlXL5xVpOUM3rz2KcuDqLnZSMnEumSinhtQfEMIJVjIdHjqcNS= Cght4sKaZB+CmjkvFxEg/kFLfyl4H2+wOfr1VuIpbP1ioxFtJIvzAsble88/PvthcPC55sEJKYL= zQjGS0bJKpYwup1SMHzV4ZMhq/IFKdQEFjiQoiAgAmAA5AQ0mx0Tk36udNy6UWCgyKm0/KhGQJC= IKmdGdwoIgmIefeKnaBePMTcasU6V+wzePt/a7vEc3Ypl6sOSsDrVCjkfXCmTnreyHXkzAwRCFt= EuVicxF0hFxICybCU48LjwYC7XRn6fm7TbNufvN4z1h51RqbN4nn6yzlHlnpE2k7lXs/AO0mIs6= 5ZZh6QF2bR0p4q7ZNuBUzEOoCglIaNdKpKocNcJYg+lYq1h38wdwPV4YML07XYjcrMbgI6J2suX= rHObhSwIQRmNhqNYlTCVNx63QZSl0koqKK7UbFWKKJHYPVw7025FDCYo3d0DD3ughteqW5trzKw= 1NG2V5az+PlzBa7cYBKWaHmPGbtrqdyskMeVwCiTZJRdUnJEiGUEoa2t6XRG3L1LOEzmvZQ7a2O= EmrG6tcZWWVqY0e/Y/mnTgXa5IiSmX0VEyUUVyoopHuG0y2k0SH9EWj1CJFdL47gtuXX0by0ML5= bNvq1GSjhegpmbGahAYpukjOQUL79znUJ4AHA5QA5zFDgCmMPGpXZXUFWitYbOBrHIEXO/wbX54= MYf64YnHqPN/E58UMf4aBXuEBHxitzgpyJREBHvAeRARDu54HTIfVJSS/Ji5iMJCib9zyojyIc8= CEhB8CHPPAh83HHn5+3VQHVA6dm9LcPvFiMq4tw2/uVQSx/iaKkLCW3UKMAZmAYlTn0jtJu0Rsk= oo0XE3iKkZmSXNyLc6wCAjebv8AMPZHzFsPyTiHHFbVseQ5+l16Kiq6nIRMeo7fsXsUo6bg/lXz= GKTFIjVYwqLPk0zdnBDmES8xlx/Di6koRqAOym6nc8hsBcnbBhTjaGjIq9MzqMljCqiYj7DyrwE= QNyEeSYXF13AUP8WIdneHs4AAHy1Pz3N2/piFo3GR7xWPJeHUZUVopNYyJZJavouHwPwagfhZRA= j07YzkiQCBREhlA8i6k30junpmXGGHt1eJd2eK3FNr+Z2MFCtmLqeqs4eVi/VcwzkXDZStTc0Rm= 5YKumy7Y7oUVCrgkqkU3YbtrOyl0VOoJt4yk9nNrTxzkCvkcOhrF2ol+h8e3NjFOlDeHGWKOnZ2= tqJPE0uxN0MQ+lYx3wVYFETKC0QcXRzJGWClipDE9nZVFvDu3N9r+8w7CYqZijwADyID8/t5Dz4= H9eka8UFD8vEUA8v45+QvZ9U5aP1AHHH4amZsm2v9YKmbqcJ2fPBMxlxDDW4XV89fZqq1gh/Uox= Mkl/hCGZXyTdyCAPFGo+A3YOlO8CH8MQIJg+rHnTt3jQfVtLuUksMvW2Fw3P3O++/QbZRFEfejK= ys+5YzHqhGzK2DsXRet1CtPVXpxAUAqjVMwHArYwIzJeVGvHYFe8m2w5i9hex3F/Vgxizf51J96= GR96ti2x7ULbYao0rd8Liuq1+nFimc9dbki5KweqPJSVICSKSksKzRqCrhmybtm3pTlYEhOoWNG= 7bGPWYg8EXCY3aL5DcYKZngD3AlgyRiOwRpTq2CNRgjLxVatUjNODFn1Y7whZM1hRWEqq3YgRQ5= ZmdQrpG7uFN11k3JbQ4r31srraS5ATJA3CCqdxod1UVK4fuG57FKwiThs4flNIM3kY9XXSUXVRc= NkgTIdSNF/2WdcrK1UkaNkavZYudPlzNBlK7O5cxc8jH/oLtB+z9JbnvIAoDd42buUufirIkN59= upIjGFjKtCllFy3p6rC5FzYEnbkL93jgxRbwQfMePPz8x49vn9OjVoH5GfqTf9miV/DIOKA/Ve9= GqjrYv9Ve7+ZP6f6vP4uLGILqfEN9mn4Olf8AIH25/wA0H/7QTOkH1PiG+zT8HSv+QPtz/mg//a= CZ12h8qn6q8N/fz/opccY/Jx+s+c/csn6qlwkRuQ+URnT73Mi/tdLatF6Cvy35L7nLl/WNd1V1u= Q+URnT73Mi/tdLatF6Cvy35L7nLl/WNd1sPpB+xbN/wpRflUmMF4J+1fKfxJL+bNhz9H8/+Vre9= mtlH8/8Ala3RDn6fbz5a82Meg68h6h/jEY8wbytse3+ytahmrNdCxvY38WlNMYazy5Y9+6ilnC7= VKQRSOQ3c2O4auESn8v4RE4efHOsTj1QdgAAIhutw/wAgH+syY/8A8g0tR7ooD+OLjvjy4wdCgH= 1c2q0/7A10XAPQm3B7hsL0HNVZzFh2Fhch1xnY4uInSXUsoybvAOKbZ8aPrbxqCwdnChkFlkw55= L3B5alEMelXZ9Je3cbWOmwsPLne+/lhcN3Yn3j7Xs5SIw+J88YuvUwXjmHgbdEuZcQHngxIozkj= 85R4EAMRuYBEB4EfLmQ0lMxEMyVk5iTj4qOR7QWfyTxuxZJdxgIXxXTlRJBPuOIFL3HDkwgAcj5= a83zcftp3AdP/ADfH1G8rlrV3iiNLTTbpTJN4pFzEcV0om1m69Kmbx7sSEdN1G7lu5atnTdYh0H= bcnJQM0orlRXqG9HVWYuWUKTiezSIRtNvmQb+/dRdUjLTSrTGpunsi7jW7l02NPtCR7xAhED/w8= mRMQ7f4QVeBVWNlkBRiouB6N7G+177mxF/edyYvkhLRW7KRdSuT8NPJNTlTcqw0myk0kFDl7yJr= KMl1ypHMUBMUiglMYoCIAIa53VIHRPwFD4BxxnCKh9wuI9wadgu1ZkV5jEk3KzTCuHaQDhqWOmF= JZgwOg8dkN6U3TSKoUyJTGMYohxq0PJe6Xbphp6lGZUzTjmhyapQOSOsloi45+JRHgDGZKuAcJl= N7SiomUDB5hyHnqIrZtAu9tr6SL2AJNjv6v+MGM+a4KatFarZEVLDYIWCTcHMmgpMyjKMIuoUO4= xETvV0CqHKX4QlIJhAPMQ41E78onsb8/wCNNhjy+i6xI/0cLef4arm6u+Mse7wML4DsNe3SYQxN= T17JK2Gt3bIFkkmdcubN3EqNSp11/CMZAHp0RTUWP3FImBCmEphMHboC7gHsgmxNuR8x8HBi8tv= ZIJ7Eqz0dMxcjCooOnCkqweoPmAIsvE9LUB00UWRMVv4SgLdhzCmZM5TABiiGo34o3ubV8528lC= xDnLH2QLgZm6kPe9XJgr6TBixEgPHXglKXhJsKhPFMAiBe4OdQa2fWLC2zbp4Uam5G3JYessU8R= y5G13JMFZVC063ycpZLXKnjYB/MosnL13GmeerXaQoFEjtqsQncUpR0t50X8uY0w7vaLdMp3auU= SqBQ7oxCfs0ihGRYO3irEWrf0pcxUxVXAhxTJzyYAHgB09YtSyMNR0jslb9o3FhvyBHO2/8AvYw= +po1Hou7HbafGpsxlzTj4cWEmBr576FhZe9gs2HbzFjK+J6ODwBOUBR7u8BMAceesbflE9jYf9K= bC/wD72iR/UtqLTe+xNjY3BNjttv7OWDEzRHgBEPPgBHj7A1E20759p1HyMriG353x3X8npTMbX= zUiRmyIzoTUyZqSLjRaiQR9KfGetStydwd5l0w58/LMGNc24jzLFLTWKci1HIEUgfwXD2qTbKYR= bqiHkRx6IqodEw/mgoUvdwPbzwOkl99XBusrK8gA9u4fCvH1cPaVp8UetmQkgBdS7n3HytuLYMP= aFOqJQESF5+fju49v1ho1rKQBAB8/7j9mjTLDz95/7wY8xBT4hvs0/B0r/kD7c/5oP/2gmdIPqf= EN9mn4Olf8gfbn/NB/+0EzruX5VP1V4b+/n/RS44x+Tj9Z85+5ZP1VLhIjch8ojOn3uZF/a6W1a= H0Fvlvyf3NXT+sa5qrzch5biM6c8f8AO5kX5w/1tltWg9BY4fv35Ln/AKnLmHl588SVb8vtEPm+= fz1sLpCNuhXNz/alH+TS4wXgj7V8o/Ezg+2eUb+029e2HRUwAO7j5xAfx89bmtlMwD7B9vH+4P0= /o41vcgPsHnXmupBA33t7bjnj0Iwln7oo894uPPuPhP2qtWmWOmIADsL2xgPmH7lsD5fgtpaf3R= R5bxceD/4Hwn7VWrU3tmPWr2eYH2tYZxFdi5KG20KkRkDNhFU8X0eZ+0BXxCtXgv0gWSHkO04kK= H08aqmV2hjCqW9DceVhf2jw9RwePxbcY6x7pVhYcIfalOgigSdGVyhEeOUpQcLRAM6e9MgYwfDM= g3edpyF8ykUcqCAAKgjqD+3N+/X6He85guZUzCPz5XRYlN3CmmZ40xyo7Inz8EAMZNE5wDzExuR= +NqNPVM6gbffpl+ry9Sg5at4sxrDPYOkxc4ZuEzJPpl2g6n7HJNmiq6DNeSFjHM2rIi7gyDOPRM= oqKy6pE7PEcFTWDugDe/fNGqRdiyjZ47KT9m4TMm6bsp211iMr6TghwKcih4GGYOxTMAGTM6MUQ= 5AQCQDRHCjc2kQhdtrNf/Fj5ePdgxjzpLZzf7bunfv/AMxQwpFnqpP1o1eOsHckSekaq7j4pU5O= Q8TwHjpNcExHgxkylEBKIgNfOyXZJmPqiZmyFIzWThgUodJGyZDyXZY97bZE7+ddOCsI9hGes4v= 0168URdKpoKyrJs2at1TeIIESRNLHYHjqbyh0p+oxWa61WfS6NkpdgbM2xDKLuS1yDUl10k0ygJ= jmM3aqD2gAiIF8vMNcb0SN9WG9ol2y9Uc5S5qnWMntay7jbUo0cumUXO1dSVROylQbJqrtmz1rK= KGTX8I5UnLYqZ+PF5Ku69e6WLhyPEhdt7cr7nu/2wYjt1LOmwXp5usWNiZiPlj90pGyLGOeiBSv= Uw148WQCgULdagf+l+se7uEWfgeAAACveIklRv7IX8kz0x/IPOJff1bJ65Prrbtdvu6OQ2+q4Ky= RDZBTqTW8EsJ4kj0gRx5RWBFiCwO2zf8AygGjjs7O7/Fjzx5c8dv7/wA0z0x//KXv9WyehWZxTl= x2tT8xvsO/bmB/344MTD20bDILfN0jNt0NNZElsekxlZc5XJs4ioBnPHlli3e6JegLpvJGOK1SE= Cc+OmdU/I8eGPGqNOnxs4h97W4kuDZq8yNBZ+9qwzw2GMhGs668SEO3KRv6A7kI5LtceOPccHIC= TtDgpuR02V0dE1FulXjtBIhlFVmWckkiFARMdRW/XchCAH0mMIAAfOI6Wj6QuecX7ct7TG55jsz= WlVR1V7lXVZ6TTX9AYSb87czUkgdFNQ7ZJQWyifiGTECKGIU/b3aZG7gVAX+ViVsL7ki/r9XLxG= +DDIE50p8a0rYJLbQ7PuIfwNHY5GVylKZXmq1BRhmA9yRjsHUc7sSMYi0KKRQB0pKFOImKBURHg= pqbn3S26b6IOESdU+loPUvFTAq8DUFEkXBQMUvjFSuZBVIU/HeRNZMTB8RUo8GCWXXY3QQGW9sO= FXeB8hs7dii65JscbaJurPHAxMpJ1eKaOW0M+VEqHilaqPxcmbKFFMygpm4MJQEKv9qWzjp45Ww= 3XLpnffWviXJEmtJhNUBCGiEArpGr5VuyQOvJoPFpAXbRNN96STwEgByVEqXciY50j16DIXdSzm= 4VA5uLDtWUkX9W2DHFdM3Iln2y9SbH+OqTfmNwployi4w9Y5KuOllKlfq5LPXURG2JkiKqiYkK7= BhORixxVWbCQUBVUIZTv7ZvqD/llJUfLz3D4W+3/LqV7dYI2nVej0nqkYPqONLca/UCvbnqtF1G= 5nIiQ1mgmtjQTYTBityJoFF6iAK9qRCkDnyAA8tZ131f55aW/wDUNhf/APdSR1Ugfvg3eYTq1Ai= 9xbcEC3uG3lzMPdE+KH4/rHRoJ8UPx/WOjVtwY8w05i9o+ft/Afb9fs/HjT1vSuyLQj7Htv8AXE= 7tU1LDH1Z4hIQZbFEDLM1zWCXOVB3HA89MbqGTOU5U1USmOQxTAUQMHIl0aOnOkXgdvPjGAPjK5= WzQcwj9PnkQClEfP2AAc+wA1tKdGjp6CAi0wbJxag+YKx2XcypHTH5hICuQFkw4+YAT4+kB4DXT= XSn0u8F9JmVUGVmDiTJ/o+vatjqPmGX1ayloWh0NF9KQMoAbVfUdwNsc29HXRfxn0f5nU5khyHM= /ndIaWSE11ZTGMdbHLrVxQzaiTGAAFFr3LeFN2cuhhuZuWR8jZAqOQMUy7O43O1WphGqv5lg9Rb= Ts09lGzVdVxGi08dNJyVNQxFTpCcoiUwlEB1G6nbBeqRsvvaGV8Q0l8lZIVBw1GXokjXLai/iFz= pHeR0jDPvFRfRz30dIXDRRoofuImdIU1yJqEY0h+lRgGnqlWxzkPc5jNUg/wR6PuHyBHFR/0SlS= ePpFIxC/6KqagCHIG5ARActxG1rM9O7S0nehnFdsmXtLG5Sh8Y5SZK+XwfSH0hTYa0HAvsMKVkQ= VUKI96hjCBgt0XTjnseXjKJszyfPso+bJRSZfn/DU1KktIkaxCCU5fU1IcGNQpLX2tcm18VcnQ3= lr1v0lFlmcZPmXXtVLW5PxBBUvFUs/WdbEKyCldbOS1lZTucVubfesy6hpGLxzvlxJZcEXJQyTE= LsevTTGpyrgpiJGcvoyQQ9NhvFP3HUUZqyceTjkqyRTFTLehTbxVL7X420UuxxFnr0u3I6jZiEf= NpCPdonKBgMk5bnUTEQDyMQRA5BDtOUDAIajBP4xzzMRDuv5Gi9uufK87SFF7H2WlydQWetzB2n= KqweqZBhXC6pfzTCxRKYREok8g1gigbOnWKbTIWnbOFo2wzzvtfT+NjyiF/263M/cAKtVqq5fGc= 1h+oI/8GlKgrBLsEQApWy6BlWaur87k4UzcyVmXUX7N1jXJp6erkzHJZWuCerWoSHMsuBJ2Xq6y= EWABiUE42Pkp4rygJTV9Q/EFICqCaqpky/N4VGkDU0bzUNfZebGanlaxPbYhT07fd0lKBvyyvBZ= UtuWrdQZCBpzOnoRcBAw8ozctWclJSRXii8g5SVIuc8komZMpRTAiRDAPImDUJB9zZ4YABH98nk= wfqCnVnkf/n6v2pN6n3Rk4TIVe96lrITwxIzXNI1uZUTADKua/MgkiKpDAPf6BIItJFMgHMDdUi= SipcuFHuKUfpANYVqmhYprFltpK6GUrsey127J3Hhz9WM8ilWZA63F+asCrKe8MpsQR4HFFW33o= FbScPXSNu93nr1mx9DO0H0VBW00TD09J62UBVB1IwkM19KmDIqlIcjR9LGi1BLw6j3JQDizHdlt= drm6jb1advUnOyFLgLMnDI+toGPYunUYhCSLSQbItGC4t2fhD6IRuCfJAIkPwA5KAalNo0ws7FW= Z2JUgg35EG9x4eobYkxXDsM6fdG2A0XJ1Rhb9OX+HyFMMLHMurVERcYVglERDmNVbFRZKuEV2qz= ZVRRwK/AgACXgSiOqh9xOwTo/5av03c6hu7rmDpOXkXLqerVZtlbmKmWVUXOZ84joWZTB5CHVcC= c67FpKjGIn5IyYNCB4Ys/zkYMxEycV4ooBJRzxgKwFA4pA8bKtxUAgmL3iQFe4CiYoG447g550s= /Le5tqvLSspKH3TzyBpKQevxRDGEcoVEXjlVyKYHNbwE4EFUSdxgATAADwHsCSJhqdmkaMsb6lX= VquRquLW9h7+WDFFW/bbnte252GiwG3LcaO4X17Fysla3qDaJTZ1oyC7ZCKag6ilVkFnD8DPFVE= THBRJNBMwgHiF7mX6r02Yfep05tjOOsj3iy40cY8xzDWdM0HDMJJ04UscWq4RaPEpJdAqHhs36K= g9gCYFOSiHGsd4b9zq4Nol5h7VkzMVqyzCwj5tIp00tZjqjFyzhosVdJvNvEJaYduow5yFByyb+= iGcJgKR3AJCYhmI4xg1io9lGsmyLNmwbIs2jRsQqbds1bJlRbt0EyABE0kUSETTIUAKUhQKAcBp= 8ktxGEZiyEkyEWJ1W2ty2FwTbvPO2DEZdnW2OD2f7fqnt7gLNKXGGqDmzuW0/NMmsfIvhs1klbG= uRdoyUWbplbKyh2yfYce9JIpzABjGAKps3e599tWU8lWrINTyVkHFjS2TD2de1GJYQk/Ax0nJOD= u3/AKkGRBs/Yx67tZVdKPVcPE2YqnQanSaEQbpWob0M9utt23fJGVYYsQ6tUHDHSqEVMOE0Upiy= Plk2kazRbGWRXkliqL+lermhhdO0250kgATdwRSwnu5sUdjvHF5tN7kc8QWRY+JrqUvHVeCqs44= zlLP0CvMf1WtMYGtCWuw7RZ2dzKzQyCrJtHKOnk48OKhQuFJkuaVNB9K06Xgkq3o0ADapKlIknd= R2dIAie6s7rrYOEvpbTYqviLLqPMTls0hWZKVauZzbq4YpJepTUblizMCSqqSigM3pC/yVLpKbf= YjaA72c3qes1/qg3CXvMJdDpMK7cazY5NNqknIQirQj9iko1I1Eh0nSDpm9QVOi7aHL2CWCR/c3= WDzKHFvuRycih3GFNNWp1ddRNMRESEOqVyiChgDyE4JJ9w+YEL7AyVb9+WYlMq5av1PtidaokdX= JdjSsd2WsK3Ik9J0N4lVTJxraKsUQ1YzFzyhMKVSPkmsg9LIN4NRRBFZNDuGSWDt0uQqtjVKDtt= 3jcwZNppGjK1leNmVVaSU0SxxhckNouxLzEqvYEsaNZKUYmfN4eMi1TwSzd05TBBZyndKvhTOaG= nhqHlgczGD9zG0jOjzR63WVighQwMY45LSspd7Kdja10fG2U1lRLAi1CJF1xM7rGI2WFwodFWRp= mEg1MoMSkKtz6QxHnA/QRxNgPNGMM0w2fL/YZPGdzhbmxhZCrV9oxk3UI7I8RZunDd4ddFBc5AI= ookUyhSiIlAR9mU8zdGjGuZd17rdjKZnusJYXV7qN6GpMa7CuYgHdRViFmzAH67orv0d2MQmVZQ= U/ETBU/YAiUvOWoTqMUy0WSsy8EM0pWZuqVlKNx4NYRVulnvmRrG5j6NGxkmEsmyaeLDxL+detX= LcU04Jy3mVnaLcgFP8AJI7r5HcjlLCmLcPyVnx6lGZYlbBl6XXWYtVFKdi96EWvVG7xk4dNpBhe= ru6a1kwIHMDxvHyfaJkk1AGjHD2dhmaop5KeKKJnqp5hpjgjRGk/eG5JLBLLoV9Tsq89sVX7W5O= 6j5tULUySSpDTwxG71DyPGg6vawAMl2D6WVQWIAxaqRURIUe4A5D2eQfP9A+f9OjWlIp/DL5D7P= nARHjny5HnzH+/I+3RrHb+Pl3f+Pn5/Ft8m9n+PLz+Leq/16NGjTsLg0aNGjBjQYvdyAgXgfq8/= wC/P6NbfggAiIAHz+36P6Px+0R0aNIQDzGDx8+e/P4tjQdokoXg5CH+EBvhEKbgxRASm5MUfMog= Bijx5G8w8wAQ+godpQD6NGjSAWv5Gw9w7sGNWjRo07Bg0aNGjBg0CPACP0Bzo0aMGKcuo8ycwWY= Nr2TrDMSZsd1yZt8A5hIL0NaxRVws8UVjXb3AMppsvXH0rWuVTtCzBkyNjqAsgChyAUZDVHA1Rz= RXKrNK2fJTOMo1oVmaK/kbg8m7Yk6dVlauWRxKyVgLPigadQfuFSNo5yJIZwPpcI4j1j9qZo1mm= YVM9Pw5wzNBK0Ui0laoZDp2+kKu9wOySRI4ZiCzKxViQABr2ipKaq4m4khqIUmjerp9SyDUT/Dw= gDUe0FAjQhAwUEagAxJPCQXTLwRXU6wVjM31RSo+8b1Wu5mo46gFoDqTdwoKAnCJE7jrSjly7UI= Up1JP/DZBTmlXEgtlGrbKcVVTGN+xPFu7ENcvUNea6m5cPWakzU6/f3ko/m4mtSRI5NZFIHky8W= SdyPrGRXAG6T927TQIXRo1YHz3OKlUWfMaqVRIkgVpDpDxsSjBRYAoSdNgLAkciQcmh4fyWAu8O= W0sbGNkLLHuVlUCQE3v27C/fsMdJjunZheFmYmzQkzeImfg7Q3tMVKs5aMIsxdkpo0J01atzQh2= KDN1Xh8FuRJsRWEWI3PX1YtJukiXvWCtlOJ9v88SxVBzZJN63hGEE2LY5FnIJNUo1WWVQeoAjGN= FQkDFm5IizhRZQFlHbp4omL904dKGjTZ88ziphmgqMxqpYpVVJEeQkOiDUit3lVZmIBNgWYjdjd= YOH8lppY54MtpYponWWN0jsUkYjU672DGwubX2HhiZBSj2hxxxxwHIAI+Xl5jwOjRo1bLfFz8d3= xc4vdh4fHwB7sf/2Q=3D=3D" width=3D"163" height=3D"86" alt=3D"" style=3D"marg= in-left:226.1pt; position:absolute" />ISSN: 2697-3391Vol. <sp= an class=3D"awspan" style=3D"color:#ffffff">8 No. 2.1, pp= . 19 <span= class=3D"awspan" style=3D"color:#ffffff">=E2=80=93 33, abril - mayo= </sp= an>2025 Revista en ciencias = m=C3=A9dicas, salud p=C3=BAblica Art=C3=ADculo de revisi=C3=B3n bibliogr=C3= =A1fica.El<span= class=3D"awspan" style=3D"letter-spacing:4pt"> art=C3=ADculo= que se publica</= span> es = de exclusiva res= ponsabilidad </s= pan>de los autores</span= > y </spa= n>no necesariamente reflejan el pensamiento de la </= span>Revista Anatom=C3=AD= a Digital.<span= class=3D"awspan">El art=C3=ADculo queda<= /span> en propiedad de<s= pan class=3D"awspan" style=3D"letter-spacing:-0.15pt"> la revista y, por </span= >tanto, su publica= ci=C3=B3n </s= pan>parcial y/o = total en otro medio tiene que ser autorizado por el director de la <= span class=3D"awspan" style=3D"font-weight:bold">Revista Anatom=C3=ADa Digi= tal.Esta revista est=C3=A1<spa= n class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spacin= g:-0.2pt"> protegida bajo <spa= n class=3D"awspan" style=3D"font-size:8pt; font-style:italic">una<sp= an class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spaci= ng:-0.2pt"> licencia Creative = Commons</= span> en la <sp= an class=3D"awspan" style=3D"font-size:8pt; font-style:italic">4.0<s= pan class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spac= ing:2pt"> International. Copia de la licencia: <a hr= ef=3D"http://creativecommons.org/licenses/by-nc-sa/4.0/" style=3D"text-deco= ration:none"></a><a href=3D"= http://creativecommons.org/licenses/by-nc-sa/4.0/" style=3D"text-decoration= :none">http://creativecommons.org/lice= nses/by-nc-sa/4.0/</a>D i</span= > a g </s= pan>n =C3=B3 <spa= n class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#fff= fff">s t<span= class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-spac= ing:0.4pt; color:#ffffff"> i c <s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#f= fffff">o M</sp= an> =C3=A9 d i c o<s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#f= fffff">P =C3=A1</span= > g i </s= pan>n a = 33 | 33<img src=3D"data:image/jpeg;base64,/= 9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEB= AQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAAbAE0DAS= IAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAABwUGCAkKAgT/xAApEAABBAMAAQQCAgIDAAAAA= AAFAwQGBwECCAkREhMUABUKFiEiGCUy/8QAFwEAAwEAAAAAAAAAAAAAAAAAAAECA//EACkRAQAC= AAYBAwMFAQAAAAAAAAECEQASITFBUQNxkfATImEygaHB8dH/2gAMAwEAAhEDEQA/ALAbx6gFUHC= ruua3rKsFMMDvK/BjZu2mcwdmDZDW+LBBRGGRYS3M6bOyDrRuPBR8MxTTQatUEUk9Go5nvujzW3= N/m+6DizK0o6FqbmeLnGqRiK1tedm26ftJ0HdJ4cMNZg3jZduPhxR033S3cDFMvXg7ffZF4gi4T= UQ1DjUFHp95X/HtX1jtGj+vMdg+QCyRAYpjTcPIbgrE/dUprRB6grn4FnkcMMk5QE13122/asEN= E9d9lM6ZcD3yLdzI0R2hNAl83CT7Urt/ZDeV8go8yOCkS5trYN0fXsL2s8JJW8FS+6+iVIF5XN4= 43LyCQNp+mOeGmjF21EKI75QhG5S1Va1V6/c29TGEPGOaaqynLmVVZ0n5DeivTHcTv/oqsb6R5H= 7biswo6/zAR/JqzMArSmcgqO9I6I2/7l9WUpWKtt1ioVPbRcvGSCSRhmh7190fj11yoSWJnproe= 4bApHmWTvI8ypSLBZX0HfVjy+ekINWmZQyfFYrBQQNjJWDmY2KcCMFpAuLw/Yj4+Eci3pV3osWH= N1mF5GZrA7Y8aNMXvGulpv1VN6i8idFo863tPapzVUrLE5OeZx2YQmOqpxeHpS6OrRAhJ3hMoNE= 5HkHUc0YPfsPY5ndB78/T6q4QO8jXAnQBpKuMd1OJVcHPFklXbIKIs0zJaNhVYyylxUkKbIimti= RArWwwuCjT9ym5PBZfs5EJqrNXSP4EIxnu/cLlWyzLw+51V+k/SieWm0lBlWaVWINFrrduv8Xgf= tJJ1jV1HVv1jM7KK3NyzOZElFJjJGidg1PbVEE3koViI0xY0FdziRMlYo8K/RWXfJP2bwWFLhzL= htuye/Lp4Zl0nI5b0Xjk+sOi67qGaBq2dW9Zln37c8hDRWBwJogs9xkPH1pgJfTGSKjGrs45HNX= rVsGjzfcyTX0bKoZ3APKsIiPEfgmeePSS5Jp9w972bcZUnz2SeiSk4rlmYsJhVyNlyEKIcO14pX= ounKlhk+SOG9m6T82a2RGLrOHCLNKQEAhXKzqy+v8AmbsOrqIlqnW4qt57yjL+icaAa4K27X1QD= KoJVgpZSOiJuEyfdyAFycQmDKMCxYWXL6CcPXbdZv8AhljnC6qN5RDkD8/7d4bCB5IRuhtY5mmq= 4sdSzfbCGPuO44dSy/W4XqSOdh8fxmfK17c9h1i9sWBz2jHO0n/q7SdyOJuZiabG63cOXIo8qTa= KtSDWEGB0ty2WH7OstyXOLWuKVTKa11T1hsYKIp6t07h6S6LuGxZ3pU9BVw51eKBnBFgOkCL+Uy= 6TpCyboJH2jlsjoOYOHzt1jZRk2dxFuvPcPOXJ9wcqZ6Fqo4968aTzmioPHdI5Nv0TYcBqGVR4h= Uhu3x12JZZy6PxCFi/t2XGSVgJEhI6JtI4D2cInd8M2xUBs4PXAHsnjW3Fa70U7RgNGlucZbesh= MwqoLJtujGIRq7o2cT8SQFbxM0fzFhRuItXxRFscWIk09ESe7RYU/piZxXcdO6y+9b/5gfH4zyR= jdXGX25nVMtCK8Mni67MeOM9GWI3gkxvSuevYx2vR1Rrx9XohjBGVzUzdlHxOULKIjLWVgM2O4c= S2tNMprOnZVog2zqIbuSLN07+i7R10HeLWVGpMn0u1eSo/IwY6wK9fRz9wfJyBJk2PVXHXbvIpw= YdPlWrIhugi+2bNlE2m7lRd5hHDh04VVoL6GmthjrX6E6Cv2CVXTF59F8AN/HFzHxTVNsxa47Cs= wkdlw6SnbqmOYcq5YgK6r9qL1RZHjCnwiophdu9eNyWGg97dz4co+tE490FFnK/2nEbNUkBXc+u= 2cOFxFKxwestrnbGNs6qqN9t9c5xjOdc49cev4yo+SKB+mWxVbb12aGnBi4wgebxxrRjNYqpplR= pdxd8YfLn8j7Cddx9D8v29KRnOz6hO4b8kfLPUcc0dfs6pt6HdDT4jGy01TWV2bLRQ5ursHkGc4= SHJs1vcV1wOwuu31HVX51OrYRChQK+vHVP7qm2g9m3Y2/ypOIJKams7OqOmjWTN9Cb5uTiTQtrj= V2okRw4bMsLb6Jb7I667Zx8d28w0aZ7f7IMEoP8AYIleqehCRBxiSy9D7D19bcudOl/hbn0kEsq= uFVFPjRSTS093tT000xrrgZxSFMYAJ3AweR2dEAm+m+mREbuO2gw3Gu+ce/2MR81QbJ529c+uya= eu2fXP+fxhW2h13t3eKp3jVNNN6e3Zv+e8XG+VDyg2VLJXAL769GQytlqaIPpVyF4+4zLh01Oa2= a7HOBjG8egzwPfA9vvFxzp6lHGDVPVBsu9dNhqi7h0R11hBzj5KeufJO9sWn1Kh5OKB4dCmE7NC= rXjsvPAiiT2ewyuhDFiPFi5KvkqtI5yFxo6UZoIMmmrt2q8SwjjXeAZfmelz5B0XOxUiaKvVdln= hMtN58RIO1tv/AEq5ePJQs4XU29Meu6qm22fT/Ofwl0/AYzRBY6cqJEvBS0kCpRw29ESmU7KkAy= RoVI27RXD0y7T02ZyAAENMXSOiTxgUFMXzNwg5bpqajEUUFNn5898GSK5pBKXb1pxtxg82F3r0B= 4843AZZG6E4fizS/GDyRQzepB7/AAamMIDNxjF9MCmG6LMkOBDZ3tKaq3YSDdkUTsOs7FD6CsJR= vd85enP3ks7b8kGLCqePUFyzPUYtHBUmMwuxGBR63PjnskGR5XUGLeakUipQQkRWPOWaOmj79KL= KOGOrhyho2VhXMaSrifN4k0mYkxJW8Fj5CLRBMtNJu6wAjxWay6xiQphtvI/fo1fTmeTGUOdd9t= 91S8iJudt85X9NV2rawiNMF8yKqdJJADuXgF/+3jE6nQx/h5GTjORgXGrlCSYV1UFnB7Mk1zrtj= 2uW+mdsba+7XM5IXeUvv56YX0vHd5I2c1rx/wAMSGsLvK7PHu2RUjlJ8PRGeHcif7fC6wikxHTA= GIkYnSSwwgfOLR8WDKDpJHV2RtmzDyQquLSetUCrNg9wogi4OffK71p5AJHKqKWqrlR8xRhD+Yv= 4/ZwaSn2EqQHHY6CRj0aiTBnITEvlaz6SsyDYIEDviqQQaeON0FEwy+uY6WHG2VsRYDCbHISqYx= WNkHhIMGNTeZuG7R883Wyo4331P6OHe6WrhdFlh6s51GtllGo/Vq23yllCqisIZSZ97J6sYk4ab= JiVQBJ4NlEqW1IB1iA0v9B60fmnjJ0igYDhzLLK7ZTdgZECy7HduRHM3KLyR00NNTDfHBczEs0H= n5pg6T7ubp3x5x+qLAZ8gcm1mn0FGjhYUQhMLNBjaGI0WQYkYrJ13TMWSYlUGD2OSNQFsptq2ES= EGq8SbPt1WrfXr/Fu67nvbvPHWd12GHj8dkX/ACIARHZhGk3Wo3LIDUkNWar41drKrYXUySVwr/= v7c4109uMemfXFvacXZ3SNbjLaMTexB7A44kg9nLbGsA0gNNvhYwG+IDU3kmUwOVfCw4tq+0ZfA= i8+g2WcpKuEtVfzZ5/FUraF1lyF0YLhAbIRiR6Ry/eIYJFiXzO8VjBm+FflLP36yfoiknp8aSmi= X+vu9nvzttkyR3ovDIRi5gpqr5r+sf/Z" width=3D"77" height=3D"27" alt=3D"" style= =3D"margin-left:441.05pt; position:absolute" /> </= p></div></div></body></html>

MIME-Version: 1.0 Content-Disposition: inline; filename="document.html" Content-Type: text/html; charset="utf-8" Content-Transfer-Encoding: quoted-printable Content-Location: document.html </title= ><style type=3D"text/css">@page Section_1 { size:612pt 792pt; margin:70.85p= t }div.Section_1 { page:Section_1 }body { font-family:'Times New Roman'; fo= nt-size:12pt }h1, h2, h3, h4, h5, h6, p { margin:0pt }h1 { margin-top:12pt;= margin-bottom:0pt; page-break-inside:avoid; page-break-after:avoid; font-f= amily:'Times New Roman'; font-size:24pt; font-weight:bold; font-style:norma= l; color:#2f5496 }h2 { margin-top:2pt; margin-bottom:0pt; page-break-inside= :avoid; page-break-after:avoid; font-family:'Times New Roman'; font-size:18= pt; font-weight:bold; font-style:normal; color:#2f5496 }h3 { margin-top:2pt= ; margin-bottom:0pt; page-break-inside:avoid; page-break-after:avoid; font-= family:'Times New Roman'; font-size:14pt; font-weight:bold; font-style:norm= al; color:#1f3763 }h4 { margin-top:2pt; margin-bottom:0pt; page-break-insid= e:avoid; page-break-after:avoid; font-family:'Times New Roman'; font-size:1= 2pt; font-weight:bold; font-style:normal; color:#2f5496 }h5 { margin-top:2p= t; margin-bottom:0pt; page-break-inside:avoid; page-break-after:avoid; font= -family:'Times New Roman'; font-size:10pt; font-weight:bold; font-style:nor= mal; color:#2f5496 }h6 { margin-top:2pt; margin-bottom:0pt; page-break-insi= de:avoid; page-break-after:avoid; font-family:'Times New Roman'; font-size:= 8pt; font-weight:bold; font-style:normal; color:#1f3763 }.awdiv { font-size= :12pt }span.Heading1Char { font-family:'Calibri Light'; font-size:16pt; col= or:#2f5496 }span.Heading2Char { font-family:'Calibri Light'; font-size:13pt= ; color:#2f5496 }span.Heading3Char { font-family:'Calibri Light'; font-size= :12pt; color:#1f3763 }span.Heading4Char { font-family:'Calibri Light'; font= -style:italic; color:#2f5496 }span.Heading5Char { font-family:'Calibri Ligh= t'; color:#2f5496 }span.Heading6Char { font-family:'Calibri Light'; color:#= 1f3763 }span.awspan { font-size:12pt; color:#000000 }</style></head><body><= div class=3D"Section_1"><div style=3D"margin-bottom:10pt; border:1pt solid = #000000; clear:both"><img src=3D"data:image/png;base64,iVBO= Rw0KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAA= OxAAADsQBlSsOGwAAA25JREFUOI21lE9oHVUUxn/n3nnz3rwkbULSiolF0FBaW0KoxDQo1oilax= daRGstSjelghRXbqKgiBtx5R8IiESoblwoimibTdW0WGooNoRqscXYmDR9jXnvzcybufe6mGTym= qTu/C534M6c893zfecwwgb4/MehQLfLVhQDztBvUteptCyKlikr8QSmPvP0rkvVjXKl+TAyjvdA= 59DDflm9YBJ5whjbrZSolSBrHaJkXism4sR8HN6Y/frI8B/RHQlPXhg6WmrRb0Zh2mkNsubzapJ= A62ZvqV5LP6wu3nzjxUeml24jHB9/zJvtiF7yS/r9ODKU1BYEqCfzywTriZ2DoKzSJDFvTy1MvD= 4yTAqgAGY6wsdLJe+tRmixxrKn5zj9PcdyAa5pNSOOrFfwvVe3twweyiv88ucHy2ZTMBpH5mCaO= AFH0WvPEtJFjItZ4XE4nEvRqohWPs6B1uAH+kq9kux7bu/ZP72ap++R2B4wBhERjE3YsfUZHI6L= 1z9i+L73CApdOAzOOaqNGa5WvmNm8QyCwhpBCd3iqwPAqCdK71dCh8nVOFqLPbm8rtY+frvxBdc= qp9HKpyPope/uo3SVdzH51wcgmqhuin5RDQCjnrUMak+gyR+HxTmXn6rxDDfrl1BSYG7pPLfCKw= z3vsvVyiluRZdxeFLw5N6VpmxZ4/X6MUGypwhaFZmv/UJianS17s5jLLQBKBGp/TfdevrVfRsaG= SFMbzBmd0RqQzrLO/G9NhZql7KXmcK/ATyEb41xJ4Diag0KZNWHsn8X7cH9aOXTHvSyvesppmbH= qNSnEdEUCioNq+lFAC8K01/bNvuTJjUPZX0QwmQBsAAshr+zrX0f3ZuGcDjCxhxTc59yrfI9Igo= RwQ/UP1Gcns4NOXlh8GU/8N4Ja9bPFCRZneJhXZJX6pzF2AZa+SjJBLW0KVer2rFn9/z0PGRddn= HDjVnLV8VAIQKCh6CX5et8K/HxvTa0ysgKvpAk7kwamFdWLlUAhwfPLSxVG8cE91mxlMlY+SFks= lQuL/e1RTml5AcTp8cP7zy3sOp/Ez6Z7GspqpbXyq3ekTi0nUnDFvIuLkdqLaZY1ktJw3wTzscn= Dj16/nozx7qBGRlB7Xhyb7+I2u+XZABkm7OuLCKRVjIbRWbSiTl1cPfZ8bW5/wv+BaGMamvHib7= XAAAAAElFTkSuQmCC" width=3D"20" height=3D"20" alt=3D"" style=3D"margin-left= :285.95pt; position:absolute" /><img src=3D"data:image/png;base64,iVBOR= w0KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAO= xAAADsQBlSsOGwAAA25JREFUOI21lE9oHVUUxn/n3nnz3rwkbULSiolF0FBaW0KoxDQo1oilaxd= aRGstSjelghRXbqKgiBtx5R8IiESoblwoimibTdW0WGooNoRqscXYmDR9jXnvzcybufe6mGTymq= Tu/C534M6c893zfecwwgb4/MehQLfLVhQDztBvUteptCyKlikr8QSmPvP0rkvVjXKl+TAyjvdA5= 9DDflm9YBJ5whjbrZSolSBrHaJkXism4sR8HN6Y/frI8B/RHQlPXhg6WmrRb0Zh2mkNsubzapJA= 62ZvqV5LP6wu3nzjxUeml24jHB9/zJvtiF7yS/r9ODKU1BYEqCfzywTriZ2DoKzSJDFvTy1MvD4= yTAqgAGY6wsdLJe+tRmixxrKn5zj9PcdyAa5pNSOOrFfwvVe3twweyiv88ucHy2ZTMBpH5mCaOA= FH0WvPEtJFjItZ4XE4nEvRqohWPs6B1uAH+kq9kux7bu/ZP72ap++R2B4wBhERjE3YsfUZHI6L1= z9i+L73CApdOAzOOaqNGa5WvmNm8QyCwhpBCd3iqwPAqCdK71dCh8nVOFqLPbm8rtY+frvxBdcq= p9HKpyPope/uo3SVdzH51wcgmqhuin5RDQCjnrUMak+gyR+HxTmXn6rxDDfrl1BSYG7pPLfCKwz= 3vsvVyiluRZdxeFLw5N6VpmxZ4/X6MUGypwhaFZmv/UJianS17s5jLLQBKBGp/TfdevrVfRsaGS= FMbzBmd0RqQzrLO/G9NhZql7KXmcK/ATyEb41xJ4Diag0KZNWHsn8X7cH9aOXTHvSyvesppmbHq= NSnEdEUCioNq+lFAC8K01/bNvuTJjUPZX0QwmQBsAAshr+zrX0f3ZuGcDjCxhxTc59yrfI9IgoR= wQ/UP1Gcns4NOXlh8GU/8N4Ja9bPFCRZneJhXZJX6pzF2AZa+SjJBLW0KVer2rFn9/z0PGRddnH= DjVnLV8VAIQKCh6CX5et8K/HxvTa0ysgKvpAk7kwamFdWLlUAhwfPLSxVG8cE91mxlMlY+SFksl= QuL/e1RTml5AcTp8cP7zy3sOp/Ez6Z7GspqpbXyq3ekTi0nUnDFvIuLkdqLaZY1ktJw3wTzscnD= j16/nozx7qBGRlB7Xhyb7+I2u+XZABkm7OuLCKRVjIbRWbSiTl1cPfZ8bW5/wv+BaGMamvHib7X= AAAAAElFTkSuQmCC" width=3D"20" height=3D"20" alt=3D"" style=3D"margin-left:= 285.95pt; position:absolute" /><img src=3D"data:image/png;base64,iVBORw= 0KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOx= AAADsQBlSsOGwAAA25JREFUOI21lE9oHVUUxn/n3nnz3rwkbULSiolF0FBaW0KoxDQo1oilaxda= RGstSjelghRXbqKgiBtx5R8IiESoblwoimibTdW0WGooNoRqscXYmDR9jXnvzcybufe6mGTymqT= u/C534M6c893zfecwwgb4/MehQLfLVhQDztBvUteptCyKlikr8QSmPvP0rkvVjXKl+TAyjvdA59= DDflm9YBJ5whjbrZSolSBrHaJkXism4sR8HN6Y/frI8B/RHQlPXhg6WmrRb0Zh2mkNsubzapJA6= 2ZvqV5LP6wu3nzjxUeml24jHB9/zJvtiF7yS/r9ODKU1BYEqCfzywTriZ2DoKzSJDFvTy1MvD4y= TAqgAGY6wsdLJe+tRmixxrKn5zj9PcdyAa5pNSOOrFfwvVe3twweyiv88ucHy2ZTMBpH5mCaOAF= H0WvPEtJFjItZ4XE4nEvRqohWPs6B1uAH+kq9kux7bu/ZP72ap++R2B4wBhERjE3YsfUZHI6L1z= 9i+L73CApdOAzOOaqNGa5WvmNm8QyCwhpBCd3iqwPAqCdK71dCh8nVOFqLPbm8rtY+frvxBdcqp= 9HKpyPope/uo3SVdzH51wcgmqhuin5RDQCjnrUMak+gyR+HxTmXn6rxDDfrl1BSYG7pPLfCKwz3= vsvVyiluRZdxeFLw5N6VpmxZ4/X6MUGypwhaFZmv/UJianS17s5jLLQBKBGp/TfdevrVfRsaGSF= MbzBmd0RqQzrLO/G9NhZql7KXmcK/ATyEb41xJ4Diag0KZNWHsn8X7cH9aOXTHvSyvesppmbHqN= SnEdEUCioNq+lFAC8K01/bNvuTJjUPZX0QwmQBsAAshr+zrX0f3ZuGcDjCxhxTc59yrfI9IgoRw= Q/UP1Gcns4NOXlh8GU/8N4Ja9bPFCRZneJhXZJX6pzF2AZa+SjJBLW0KVer2rFn9/z0PGRddnHD= jVnLV8VAIQKCh6CX5et8K/HxvTa0ysgKvpAk7kwamFdWLlUAhwfPLSxVG8cE91mxlMlY+SFkslQ= uL/e1RTml5AcTp8cP7zy3sOp/Ez6Z7GspqpbXyq3ekTi0nUnDFvIuLkdqLaZY1ktJw3wTzscnDj= 16/nozx7qBGRlB7Xhyb7+I2u+XZABkm7OuLCKRVjIbRWbSiTl1cPfZ8bW5/wv+BaGMamvHib7XA= AAAAElFTkSuQmCC" width=3D"20" height=3D"20" alt=3D"" style=3D"margin-left:2= 85.95pt; position:absolute" /><img src=3D"data:image/png;base64,iVBORw0= KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxA= AADsQBlSsOGwAAA25JREFUOI21lE9oHVUUxn/n3nnz3rwkbULSiolF0FBaW0KoxDQo1oilaxdaR= GstSjelghRXbqKgiBtx5R8IiESoblwoimibTdW0WGooNoRqscXYmDR9jXnvzcybufe6mGTymqTu= /C534M6c893zfecwwgb4/MehQLfLVhQDztBvUteptCyKlikr8QSmPvP0rkvVjXKl+TAyjvdA59D= Dflm9YBJ5whjbrZSolSBrHaJkXism4sR8HN6Y/frI8B/RHQlPXhg6WmrRb0Zh2mkNsubzapJA62= ZvqV5LP6wu3nzjxUeml24jHB9/zJvtiF7yS/r9ODKU1BYEqCfzywTriZ2DoKzSJDFvTy1MvD4yT= AqgAGY6wsdLJe+tRmixxrKn5zj9PcdyAa5pNSOOrFfwvVe3twweyiv88ucHy2ZTMBpH5mCaOAFH= 0WvPEtJFjItZ4XE4nEvRqohWPs6B1uAH+kq9kux7bu/ZP72ap++R2B4wBhERjE3YsfUZHI6L1z9= i+L73CApdOAzOOaqNGa5WvmNm8QyCwhpBCd3iqwPAqCdK71dCh8nVOFqLPbm8rtY+frvxBdcqp9= HKpyPope/uo3SVdzH51wcgmqhuin5RDQCjnrUMak+gyR+HxTmXn6rxDDfrl1BSYG7pPLfCKwz3v= svVyiluRZdxeFLw5N6VpmxZ4/X6MUGypwhaFZmv/UJianS17s5jLLQBKBGp/TfdevrVfRsaGSFM= bzBmd0RqQzrLO/G9NhZql7KXmcK/ATyEb41xJ4Diag0KZNWHsn8X7cH9aOXTHvSyvesppmbHqNS= nEdEUCioNq+lFAC8K01/bNvuTJjUPZX0QwmQBsAAshr+zrX0f3ZuGcDjCxhxTc59yrfI9IgoRwQ= /UP1Gcns4NOXlh8GU/8N4Ja9bPFCRZneJhXZJX6pzF2AZa+SjJBLW0KVer2rFn9/z0PGRddnHDj= VnLV8VAIQKCh6CX5et8K/HxvTa0ysgKvpAk7kwamFdWLlUAhwfPLSxVG8cE91mxlMlY+SFkslQu= L/e1RTml5AcTp8cP7zy3sOp/Ez6Z7GspqpbXyq3ekTi0nUnDFvIuLkdqLaZY1ktJw3wTzscnDj1= 6/nozx7qBGRlB7Xhyb7+I2u+XZABkm7OuLCKRVjIbRWbSiTl1cPfZ8bW5/wv+BaGMamvHib7XAA= AAAElFTkSuQmCC" width=3D"20" height=3D"20" alt=3D"" style=3D"margin-left:28= 5.95pt; position:absolute" /><img src=3D"data:image/jpeg;base64,/9j/4AA= QSkZJRgABAQEAYABgAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFh= wXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4eHh4eH= h4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCARhAxkDASIAAhEB= AxEB/8QAHAABAQACAwEBAAAAAAAAAAAAAAECCAMGBwQF/8QAWBABAAEDAwAECAsDBgsGAwkAAAE= CAwQFBhEHEiExExQXQVFVlNIIFiJUVmFxgZKT0TI3dBWRobGysyM1NkJSc3WChMHTGCQnM6LDJW= JyJkNFRmOjwuHw/8QAGwEBAQEBAQEBAQAAAAAAAAAAAAECAwQFBgf/xAA1EQEAAQMCBQMBBgUEA= wAAAAAAAQIDEQRSBRMUMZESIUFxMzVRYYHwFSJCodEGIzKxNMHh/9oADAMBAAIRAxEAPwDpoD+l= PxQANEosoAAECSqSLKAKgAkkJPeE94pIACT3Is9yAABAkqkiysBAIkosoKkrHckrHcqACCSEiwA= CglXmVKvMCEhIIAKAJJAAQsJKLKKSACD9HDteCt8z+1V2y+XCtde51qo+TT/W/RYmWK5+BjPeyY= z3sswANKAAJKpIAAADIAKgAqsZCQPgAlCEqnsYkiNQkosoKMZ7e1ap8zGGKpy1TAksuWNTDeQFp= jsIgmQWYRqUhJ7wnvAAASUVBRJUnu5QYVT5mE9yzPM8pPc5z7ukIkwqpgliLKfZ2osLTT1qo9Dk= +5KY6sfWy5daacQ5VVe76AHocAAaJRZQAAIElUkhZQBUB9uBpebm4OdnY9masbAt03Mi5PZFMVV= RTTH2zM931T6Hb+jros17fGi3tV0vO02xZs5E4805FdcVTVFNNUzHVpmOPlR/S897VWrNM1VziO= zrbs13JxTDoU96PY5+DxvD1tof5t3/AKZ/2eN3+ttD/Nu/9N5f4tpN7t0N/a8cOXreV8H/AHxZp= mbWTo2R6KaMiuJn8VEQ6JuzZe59rXONc0jIxrfPEXojr2pnzcV08xz9XPLva12nvTiiuJlzr012= 3GaqXX57kWe5HrcAAIElUkVYAESUWU5gWElY7klY7lQAQSQkWAAUEq8ypV5gQkJBABQBJIACFhJ= RZRSRaYmqqKYjmZ7kfZgWv/vao+qlJnDMziH02aIt24pjzd7MHNyGM97JjPeLAA0oAAkqkgAAAM= gAqACqxkJA+BJWUSSElJhkiNMZRlLCe/hJnCwkx28oyYzDm3EiSqSKR3s0pjiFVBOFFGEwMp704= BAQCUVEX4GFc89jKZ4hxpVKwhCjnhtAEBaKeZ59COWmOIappzOSZSUZVMeJdXPD6QHVxABolFlA= AAgSVSSFlHPp2HlajqGPgYVmq/k5FyLdq3T31VTPEQ4GxXwZ9gzh4kby1SzHh8imY0+irvotz2T= c+qau6Pq+15Nfq6dLamue/wAO+msTfuRTD6N57OxdlfB71LTbc03MqvwNzLvRH/mXJuUc9v8Aox= 3R/wD3L7fgm/u6zv8Aa1z+6tP3/hDTHkk1iP8AVf3tL8D4Jv7us7/a1z+6tPy1Vyq5oaqqu81f+= n26aIo1VNMfg9T1vVcDRdMvanqeTTjYlmIm5dqiZinmYiO765h1WOljo9nj/wC02L+Cv3XF0/8A= 7pNc/wBXb/vaGnTpwzhlGstzVVMxiWdbra7FcU0w3m0Ddm29fqmjR9bwc2umOardq9E1xHpmnv4= +5+nnYuNnYl3GzLFvIx7tM03LdymKqao9ExPe0MxMnIw8q3lYl65Yv2qoqt3LdXVqpmO6Yluf0S= 7hvbo6P9L1fJqpqyq7c28iYjjm5RVNMzx5ueOfvcuI8MnR4rpnMNaTWRqM01R7tcOnfYNGy9ft3= 9Opq/kjP5qsRM8zarj9qiZ9HbEx9U/VMvN23PwktMtZ/RVnXqrcVXMK7ayLc+emetFM/wDpqlqf= pUzTqeLNNm1fmL1HFu9zNFfyo7KuO3ifPw/QcJ1VV/TZq7x7Pl66zFu9iO0vedP6O8Kvoyo29Xo= VVWu5GlVanGp+Kz1aLvXiqjH8Jx2VdXsmOfNM+d0jb3Rxo2dtjb+rapum9p97XMivGxrNOnzdiL= kXJoiJqiuO/iPNHe9Kubc6b691U6/Tq2k0RExP8n05t6MTiKerx4P0T39/f2vl1HY3ShmWtIteK= bUsW9J1CvPxrdm7dinwlVybk0zz/m8zMREcdnnfJt6qujMc2Pec9/r7f9PbVYpn+ifb2dH0Dojr= z8/VsHLz9Qt3NPz6sTwuPp/hbVcRETFXWmunie3mae3jsfp6T0c7Z0zTd9YW48+u5l6NNiLeXas= VT4CiunrU3IoiviqaueJpnu6vf2ubeWsdJG0IzLm5Ns6Jm6fnZ3jkVXLNV6xavcRT8maa4mn7Kv= r4878nae6N+7n3BuTU9I21pesRqduxTqWHctc2OKKerbmIqrie6mrzz5/q49M16u7RNfrj0+3aY= /JyxZomKfT7vjwejrQ6NO0S/rW6b2De1+5VTptu3gzcjq9aIoruT1o463NPZ5ut9U8fTp3RRh0x= kU63uSvBu29bjR7UWcKbsXblUUzRVz1o4iet9z5r2+Nz7UvWdC1vbeiXcrSrs3cOnMx+vXhTX8u= IommrjiOYmO/js9Ecfi0dIm4PFqbV+nEya41mjWartyietXfpiOIniYjqdndERPomHoijX1xmmr= 2+sf2/RxmrTU94di3H0V4Gn2cy5p25pz69O1CxhZ1m5gzamibtVMRMT1pir9qP1fqal0c0a/u/W= sOa68K1pVy3i0fyZpEeBqiaIq5nm5z1uZ7eZqn6+50zL6SNcyKtXm5i6fH8rZtnMv8AFuv5NdqY= mmKfldkT1Y555+52La28d87o1DW7OnbY0fXIzr1Gbk4l6zM27VcUxRFVPNcT3RHfM/c5XLeuop9= VVXb5zHzhuivTVTiI7uldI21ruzt15GhXcujL8FTRXRepo6nWpqjmPk8zxP3y69Hc7V0sZu4s/e= V+/ujTLGnal4K3TVYsxxTTTFPyZ/aq831v1dS6JN1afs+rdF+5p04NONTkzFN6qa+pVETHZ1e/t= jzvqWtTTRao51UZn+7x12Zqrq9Ee0OgAPY86SEuy9H+ydY3vn5OFo1eLTdx7UXa/D3Jpjjnjs4i= WLl2i1TNVc4iG6KKq5imnu60P2d6ba1HaWv3dF1WbE5NqimqqbNc1U8VRzHbMR6X4zVFdNymKqZ= zEs1UzTOJEq8ypV5m0QkJBABQBJIACFhJRZRRnZom7ciiPv8AsfqUxFNMUx2RHY4cK14O11pj5V= TnYqlyqnMgDLIxnvZMZ7xYAGlAAElUkAAABkAFQAVWMhJIfCSIqSsAIglUsOGVU9qcszLpEIKkw= ipwcKSQSACZABUnvRZ70CA4AVEmGTGqeIQYVT2sPOySYYlqEARUAjtngwZZW457XIkRxHBzx3uk= RhMkosoqPoAdXAAGiUWUAACBJV9eiaXm61q+LpWnWpu5WTci3bpj0z559ER2zM+aIZqqimJqntD= URMziHcOhLYte9N00+M0VRpOFMXMuru6/+jbifTV/VE/U2+tWrdm1TatUxRboiKaaaY4imI7oh1= /o72rh7P2xjaNh/Kmj5d+757tyf2qv+UeiIiHYrlNU0TFM8Tx2TL8NxHWzqr2fiOz9NpNPFi3j5= +XgXwot60xTRsvAuc1VdW9n1R5o76Lf/wDKf93637/wTv3dZ/8Ata5/dWnUel3oks6Lt/Vt3X9w= 5efmeEi7cpuWaaYrqrriJ7Yns/adu+Cb+7rP/wBrXP7q09t+bP8ADoi1Off3+rzWuZ1ea/wdl6f= /AN0euf8A0W/72hpy3F6f/wB0muR/8lv+9oadPof6f+xq+rycV+0j6Daj4LMV+TOvr89X+ULvU+= zq0f8APlq/p+Hl6jm2sLAx7uTk3qurbtW6Zqqqn7Ibo9Fm3Lm1th6Zo1+KPGLVua780zzHhKqpq= q7fPxM8c/Ucfu08mKPnJwqieZNXw+bpr6kdFm4ev3eKTx9vMcf08NN9I/xrh/6+j+1Da34Smq2s= DoszMeqvi7nXbdi3T56vlRXP9FMtUtI/xrh/6+j+1DHA6ZjTVz++zXEpib9MN1OkvW8vbexdT1v= AptV5OLaiq3F2JmiZmqI7YiY9PpeCYPwhN228u3XmabpF/HiqPCUUW66Kpjz8VdaeJ+viXtHTt+= 6XX4//AEKf7dLTXlw4No7OotVTcpz7uuv1Fy1ciKJbx41ek732Xbu1Wqb+nariczRVxPEVR2xPo= qpn+aYeC9COl720ncm6tJ2xe0SL+Feox8urUKbkxV1a7kUzR1Psq7/qeudAGNkYnRHodvJoqorq= ouXaaZ/0a7tdVM/fExP3ut9C1dFzpV6SKqOOPHqI++K70T/S8NqqbVF63T7xH+Xprp9dVuqe/wD= 8eI9MFjX73SZnY+s04l/V7k2aaqcCmubdUzbp6sUxV288cfe7BonQPvjUcSnIvzpunTV3Wsm9V1= +PTMUU1RH8/L0fRNLx874UOu5d+iK5wMK3dtRPmrm3bpif5pqfJ8InpF3HtjXMLRNAyacPrY0ZF= 69FumqqrmqqIpjrRMRHyZ83n/n+nTrtRXy9PYxE4h4p01qn1XbucZdSn4PG8PWuh/m3f+mw6GdG= 3noe/twaNt6/ok5+Ha8Fk15nhJtVRFcfsdWOe/08PSfg37p17dOjatf13UK825YyKKLc1UU09WJ= p54+TEPzeiT9/e/Ptq/vIcLur1E03bV6Yn0x+H5w60WLUTRXbzGXQt3bN3fvbpfztH1HK0W3q9v= BoyLldqblNiaIiiIiOYmrn5Uebh7zuHbObqPRZc2pZvY9OZVp1vFi5XM+D61NNMTPMRzx2eh4T0= 66/rG3OmnUM/RM65hZNWHZtTXRETM0zTTMx2x6Yj+Z7VurV9SxOhS5rePmXLeoxpVq9F+IiauvN= NMzV6O+ZcdVzposTGMe2Pq3Y9EVXInv8tcd49GGubW1nRtLz83Trt7V73gbFVmuuaaautTTzVzT= HZzVHdy7THweN4T/+LaH+bd/6bote4t57x3BpVq5n5Oo6nZvx4hHVp5ormYnmOIjz0xPb2dj3HE= 2f0212KK8jf+HYuT30RHW6v1c+DfT1Wo1Onppiq5TE/P7w8di1ZuzMxRMw803J0Gb20fTq8614h= qdNuOa7eJdqm5EeeYiqmOfsjmfqfvfBE/ys1r+Bp/tw9v6PdO3XpmlXsXdusY2rZHhetZvWqJpm= KOI+TV2R5+f53mvQvYtY3TnvqxZoii3TVc4pjujm7y8FXELmo0923cmJx8x9XqjS0WrtFdPtl5v= 8Jj97Wd/D2P7EPNHpfwmP3s538PY/sQ80foeG/wDi2/o+Vq/tqvqJV5lSrzPc86EhIIAKAJJAAQ= sJLmwrPhLvWq/Zp73DxM1RER2y/Ux7cWrUU+fzkzhmqcOSUWUc3IAAYz3smM94sADSgACSqSAAA= AyACoAKrGSe4knuRWKopCQMap4VjPektQhMAy2ncvIiC8dqSpKiAAAIMZ7xZ70FiQAUcVc81M65= 4jhxyzKgDOCEk4UGssWVuOO1IjmeHJDVMM1SANJCTCLKA+gB1cQAaJRZQAAIGy/wbtgxo+lRunV= LURqGbb/7tTVzzasz5+PTV3/Zx6Za36bk04efYy6sazkxarivwN6Jmivjt4q4mJmPveqf9oHedN= MU0adoNMRHZxj3ez/9x8rilrU36OXZj2nu92juWrVXruNit367iba25m61mz/gsW1NXHnrq7qaY= +uZ4j72ts9Pe+pqmYp0uI57I8WmeP8A1PwukDpQ3JvXTLOm6pRg2Ma1d8L1cW3XR16oiYjrc1Tz= Ecy6O8/D+D00UTOopiZddVxCqur/AGpxDv8Au3pc3ZubQcjRdSjA8VyOr1/B2Jpq7KoqjiefTEP= YPgm/u7z/APatz+6stYHfOjzpS1/ZGi3dK0rD02/Zu5FWRVVkW65q600008fJqiOOKY8ztr+HxV= p+Xp6Yj3y56XVYveu7Pw251XTsHVcC7gali2srFu8eEtXaYqpq4nmOY+2Idfjo62LHExtTSPvxq= XhX/aF3l6r0L8m7/wBRJ+ELvH1ZoX5N3/qPiUcJ11PtT7fq+lVr9NV3/wCmxmj7f0LR5qnStIwc= GqqOKqrFimiZj0TMQ+nU8/D0zAu5ufk2sbGs09a5cu1RFNMfa1e1Hp731lWposRpWFP+lYxpmr/= 11VR/Q6JubdW4ty3Yua5q+Vm9Xtporq4opn6qY4iP5nW3wLUXKs3Zx/dividqmP5Idn6cN/fHbc= NNOF16dJweaMaKo4m5M/tXJ+3iOI80fXMujaR/jXD/ANfR/ah889yUzNNUTTMxMTzEv01rT02bX= Ko7PjV3ZuXPXU3t3TomHuPQMrRc+q5GLlURTcm1VxVxExPZPb6Hn2J0DbEsZNu7XGpZFNE8zbuZ= PyavqniIn+lrHGu63651H2mv9Sdd1uY4nWNQ4/ia/wBXw7fBtTaiaaLuIn6vpVcQs1zmqjLb/pF= 3pomw9uVVVXLEZFNnweFhUTHWrmI4piI81MdnM+aPuh5f8EnIu5Oqbqyci5VcvXfF67ldU9tVUz= dmZn75eBXbly7XNy7cruVz31VTzLlw87NwpqnDzMjH6/HW8Fdmjnju547/ADvRRwaKNPVbir+ar= 5c6tfM3YrmPaPh7vqu7MXaPwmdTzNQueDwcqzaxr9fHMURVbtzFX3TTHP1TLvnST0caH0kU4eqW= tUnHyLdrqWsnH6t23ctzPMcxz2988TE+fztWtAxLu491abp2XmXfCZ+Vax6r9czXVT1qop57Z7e= Oe76nvWJ0A3sSmacTfWfj0z5reP1f6rjx6yxb0tVExc9NcR+Dvp7tV6mqPRmmZd66Jdg29g6fm4= lvU69Q8bu03Jqqs+D6vEcccczy6Z0Sfv6359tX95DuWz9DwujXbOdd1jct/Ntzcm9cycuvq9WIp= 4iimJmfRPd2zMtUtzbiydR3dq2t6ffycOM7KuXaYouTTV1JqmaYnifRw4aPT16uq7HqzmO/6uuo= u02Io9u3w7d8Jqf/ABZzf4ez/Yh77oWPg726GcLTreX1LWbpdvHruW+KptVxTETHHpiqO76mnWV= kZGVem9k37t+5PfXcrmqr+eXLhZ2dhRPieZkY/Pf4K7VTz/NL69/hdVyxboirFVLwWtbFFyqqY9= qntej7PwuiXpT21k6rrlrLx87w9vw04/gqbNXU6tMz8qrvmqI57OHq/SVtHWt114VzRt45uhU2K= aorpsRM03eeOJnq1U9scT6e/wA3n09zc7NzerOZmZGTNHPV8Lcmvjn0cy5cfV9Wx7cWrGp5tq3T= 3U0ZFVMR90S5XuF3rlVNya/5o/JujW26ImmKfafzbj9Ge1tX2thZljV9z5OvV37kV27l+Kom3ER= xxHWqqdB6If39b8/+qv8AvYa8TruueudR9qr/AFcFnUdQsZFzIs5+VbvXf/MuUXqoqq+2YnmWKO= DXMV+quM1R+DVXEKc04p7PQvhMfvazv4ex/Yh5o5MnJyMq9N7Kv3b92Y4mu5XNVU/fLjfa0tmbF= mm3M5w+deucy5NX4iVeZUq8z0OaEhIIAKAJJADK1RNy5FEechX0YFrmrwtUdkdz7UopimmKYjiI= ZMTOXGZzKSiyiIAAMZ72TGe8WABpQABJVJAAAAZABUASVVCQkVioiJCVSxWe1GZagFRFyEKiqEg= ggvCSNZABMJPeiygAJVJKsKu2eUZJLm2nCKAgcLTHM/UBTHHayU4dGEAFhJRZQR9ADo5AA0Siyg= AAQJKpJCygCoAEkJPeE94EiKAk9yLPcgAAQJPcqSKytV127lNy3XVRXTMTTVTPExMeeJfb/LOr+= tc72iv9XwwMzRTV3giqY7ObMzMvLmmcrKv3+r3eFuTVx/O+dZRYpiOyzMz3SVjuSVjuaZAEEkJF= gkAUEq8ypV5gQkJBABQBJIR+hhWupb69UfKq/oh8uJa8Ld7f2Y7ZfpMzLFU/CgMsJKLKAAAMZ72= TGe8WABpQABJVJAAAAZABUEmFFViSSSCMap8ysZ70lYQBGl8yLPciILxKMlViMphEVAAJRU4RYE= 4UBjPYwZ1T5mPDMtQgJwirwxXkMCM6Y4hKI5llMLTBKcqxOWmMrKEgpKcKCOYc3imX82ufhk8Uy= /m9z8Ms9Ra3R5OTc2y4RzeKZXze5+E8Uyvm9z8J1FrdHlrk3NsuGUc84mV82ufhTxPK+bXPwnUW= t0eU5NzbLhHN4nlfNrn4TxPK+bXPwnUWt0eVizc2y4Ulz+J5Xza5+FJw8v5td/CRqLW6PK8m5tl= wDn8Ty/m1z8MniWX82u/hleotbo8pybm1wDn8Ty/m138MnieX83u/hlOotbo8kWbm2Xzz3jmnCy= /m138MnieX82u/hleotbo8nJubZcI5vE8v5td/DJ4nl/Nrv4ZOotbo8nJubXBPcjnnDy/m138Mn= iWX82u/gk6i1ujycm5tlwDn8Syvm138EniWX82u/gk6i1ujyRZubXAkvo8Syvm138EpOFl/Nrv4= JOotbo8rybm1wwOfxLK+bXfwSeJZXza7+CTqLW6PKcm5tl88o+icLL+bXfwSeJZfza7+CTqLW6P= K8m5tfNKx3ObxLL+a3fwSsYWX82u/gleptbo8pybm1wD6PEsv5td/BKeJZfza7+GU6m1ujycm5t= l88jnnCzPm178EniWZ81vfglY1NrdHlZs3NsuAc/iWX82vfhk8Sy/m178Er1FndHlOTc2y4EnzP= o8Sy/m178Ek4OZ82vfgk6izujycm5tl8w+jxHM+bXvwSTg5nza9+CTqLW6PJybm2XzD6PEcz5re= /BKeI5nzW9+CTqLO6PK8m5tl869szxEczL9vTNobq1PG8Z07buqZdjrTT4S1jV1U8x3xzEP0sLo= +3rFc117U1mOO7nDr/RidXYj+uPJybmP+Mvxce1Fq3FPn88uV2H4i70+iuseyV/ovxE3p9FtY9k= r/AEY6uxvjy5ci7tl10di+Iu9PotrHslf6HxE3p9FtY9kr/ROrsb48nIu7ZdclHY52JvT6Lax7J= X+ifETen0V1j2Sv9Dq7G+PJyLu2XXR2L4ib0+iuseyV/ofETen0V1j2Sv8AQ6uxvjyci5tl11j5= 3ZfiJvT6K6z7JX+jH4h71+ius+yV/odXY3x5WLFzbLrg7H8RN6/RXWfZK/0PiJvX6K6z7JX+jXV= 2N8eV5FzbLrg7H8RN6/RXWfZK/wBD4ib1+ius+yV/onV2N8eTkXNsuuI7J8RN6/RXWfZK/wBE+I= e9forrPslf6L1djfHk5FzbLrg7H8Q96/RXWfY6/wBD4h71+ius+x1/onV2N8eTkXNsuuJy7J8Q9= 6/RXWfY6/0PiHvX6K6z7HX+h1djfHk5FzbLrg7H8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHlORc= 2y64Ox/EPev0V1n2Ov8AQ+Ie9forrPslf6L1djfHk5FzbLrQ7J8Q96/RXWfY6/0Sdh71+ius+yV= /onV2N8eWuRc2y61PenDsnxD3r9FdY9kr/Q+Ie9forrHslf6HV2N8eTkXNsutTHZ2I7N8Qt6fRX= WPZK/0Sdh71+iuseyV/odVY3x5Xk3Nsut98I7J8Q96/RXWfZK/0T4hb1+ius+yV/odVY3x5OTc2= y64yh2H4hb1+ius+yV/ofEPev0V1j2Sv9DqrG+PJybm2XXkl2P4ib0+iuseyV/oTsTen0V1j2Sv= 9DqrG+PJybm2XWx2P4h70+ius+yV/ofEPekf/lbWPZK/0Oqs748rybm2XXB2L4ib0+i2seyV/of= ETen0V1j2Sv8AROqs748rFq5tl1ye9JniHZJ2JvT6K6x7JX+jjq2PvLnj4r6v7JX+h1VndHleTc= 2y66OwfEfeP0Y1f2Sv9D4j7x+jGr+yV/ox1FrdHleTc2y6+xdi+JG8foxq/slf6J8R94/RjV/ZK= /0Ootbo8nKubXXk4dh+JG8foxq/slf6M6NibzqjrRtbV5j+Er/Q6i1ujycq5tl1+I4jgl2P4ib0= +i2seyV/ok7E3p9FtY9kr/RrqbO6PJyrm2XW+xOHZPiJvX6K6x7JX+h8RN6fRXWPZK/0XqbO6PK= cm5tl1yCYdj+Im9PorrHslf6HxE3p9FtY9kr/AEOps7o8nJubZdbHY6tib0+iuseyV/onxF3p9F= dY9kr/AEOps7o8pybm2X6PAD8C/WgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD79v6Vla5= rWLpOHTzfybkUUzPdTHnqn6ojmZ+x8D3n4P20/ENKr3Hm25jJzKerjxPfTa/wBL7ap/oiPSg9G2= 5pGJoeiYulYVHVs49EUx6ap89U/XM8z979EiOBAAAAAAAAAAAAAAAAAAAAAAAAAcVc8yzrniOzv= cYJwjIBiLwgJMCgIkxyvADHjhO9mkwDHhGRwDDgZcJPcDivVdSjmO/wAz4/O5r1XXrmfNHZDjmB= WExDGaWcwA4+IThyTDGY4US3RNdcUx53300xTEUxHEQ48S31aetMdsudFYpLLhBEJXhBMJwjJOB= UlOIZSgNRAGkAAAAAADl+1tbFx9Qp1PT68eLmVcw6rmHVH7VNy3MVzEfbRFcfbw7PG29OqysKIx= aJtaPdm1rU01TPhOra8NVM+jmabtv/dp88g8+OXctH0zS8/B03WrmNTRj4l3I/lK1RMxE00R4W3= H1daJ8H/ux5zWNP0rS8bUNWoxaLuPlZdidNtXJnjwVVMXq/t4iaKJ+2QdNHoVe2NPs39QsXMejj= VbtVGi1TVPyafBeGpmPTz17VH31eh1nc2HaxKMLDx8Oqi9i4VurOucT23bny+30cRVRT9sA/Dct= +xXZtWrlVdqqLtPWpii7TVMRzMcVRE80z2d08T53bNcr0jQ8qNCo23j5seL26qsu7cuReu1V24q= 69E01dWKYmeyOrPZHa59O0HTM7L2xau0UWreRpt7JyO2qJvVW670xE9WJntiimPkxzx3RyDo47n= uCjbuVoGVkY06RayseqjwP8m2sziqJniabk3aer3czE8xPZL9CbG36922tq29vYtFrJot0VZc3L= k3qLldqKutT8rqxETPdxPPH1oPPHLTYrnFqyYrtdSmuKJpm5TFfMxM9lPPMx2d/HDsmLGnaNtfT= 9Tu6NjapkZ927FVWVNfg7NNuYp6sRRVHyp55mZn0cQ4rmLh5e2NSzsbTYxrs6pYt2bfXmubdFVF= yepEz2zHMR39vZCjrZ//ALveh5ek6VXpuqadXjaFZzcDDru8Yd3IuZFuu3x1uvXMTant5iY5757= H5moXNK0W7i6RG2cbUPCY1m5cyrly5F6/NyiKubU01RTTETV1Y7J/Z7fOg/A1XSbun6jn4dV6xX= OFX1a6puRTNfbx8mmZ5n7I5fnO77ixMa/rO9712x1rmNMVWZrj5VEzfopn7+JmHz6jc0rRqsTSP= i1j5/hcazcuZNdy7F69NyiKubUxPFMRNXEfJnu7QdVosV141zIiq1FFuaYmJuUxVPPPdTM8zHZ2= zEdjG7buWa+pdt126+Inq1RxPExzH88TEu5a1p+nadc3Jes6faqjT9VsUWbV6KpiKObnNE8TzxP= ViJ7eezvfRr1yjWt5YuJRomk26LOLZyL1XhLlqmq3GNRXPhKpqniimO7jieI75lR0S1T4S7Tbie= OtVFPP2vs3Bptej65naXcu03q8W/VamumniKppnjnh2jcmHpdzRcPVcG3pVF2jUIxq503w8Wqom= nrcT4aP2o476eztfl9I1q7O+NfvRbrm1TqF2ma+rPViZqniOfT2T/Mg66cw7xqEaNo+uWNufFrH= z7dUWabmTcruRfvTcppnrUTTVFMR8rsjie6OUu4Gk7ewtduXtOx9WvYOrxh49V+qqKOrxc5mqKZ= jn9mOznv+xR0gdy1W5pOheJafO3MTUJycW1k3ci7cuxXXN2mKuLXVqiKYp56sTxPbHa/I3zh42n= 7sz8PDsVY9i1XEUW6u+mOrE8T9YPxAAAAAAAIiapiKYmap7ojzg7P0Z7Xubq3RZwqomMO1/hcqv= juoif2ftqns/p8zaaxat2LVFq1RTRbopimimmOIpiO6Ih1Dom2rG19sW7d+iIz8ri7lT54njso/= 3Y/pmXcmQAAAAAAAAAAAAAAAAAAAAAAAAJEq5nsBhM8zyizCAnHApwCBMAJMIyAYizCAgpwCJwo= DFxX6urTxHfLmmYiOZfLXM1VTIsOLhJhnwgrCYSYZzCcA42Vqjr1xHm86zD6LNHVo+ue2RJZ+bg= AQAFSYRkTAMeEZIIgvCA1CAaAAAAAAH06ZnZemahY1DBvTZybFcV264iJ4n7J7J+9z2Na1Wzb1C= 3azblNOpRxlxxE+Fjnrdv3893pmPPL88B9mJqediadmafj5E28bNiiMi31Ynr9Weae3jmOJ57jN= 1PPzcHCwsrIm5j4VNVGPRMRHUiqeZjsjme30vjAfoX9b1a9Vp1VzNuVTptNNOHzEf4KInrRx6e3= 0+iI7ohlk65q2RVqU3s2uqNTqivMjiIi7MVdaOeI7OJ9HH8z80B+zjbp3Bj4EYVnUq6bVNE26Jm= imblumf82muY61Mds9kTD469W1KqcGrxuumrAo6mLVRxTVajrTV2THE99Uzz39r4gH6usbh1nVr= MWc7M69qKuvNFFui3FVX+lVFMR1qvrnmXDTrGpU6zb1inJ4zrc0zRd6lPZNMRTT2ccd0R5nwAP0= 9H1/V9Js12MHL6lmuetVauW6blHW7ut1a4mIn64jlx5WsanlWsi1k5ly9Tk36ci9NfE1V3KYmIq= 63fHEVT2cvgAfuZO7dw5Niuxe1GaqLlubd3i1RE3aZiYnrzFPNc8T31czHmYYO6NfwsGjDxtRqp= tW4mLczbpqrtR6KK5iaqP92YfjAPvv6zqd+5n3LuT1q9Q48amaKf8ACcVRVHm7O2Ins4dq0TOro= 0nEt0b6x8TGooiK7d7EqnJx/wDSptVRRVMR38cVU/ZHa6MA/Y1/XcjUNQ1auxVVbxNQy/GJtVUx= M9k1dTme/mIqnuSNya3FWDXTm9W5gUdTHri3RFVNPHV6s1cc1Rx2cVcxx2PyAH6up7h1jUrUWsz= Liu1Tcpu026bVFFFFVPPE000xER+1PZHf5+XHn65q2dby7eVmVXKMzJjKv09WmIruxEx1uIjs75= 7uIfnAP2sPde4cTDpxMfUq6bdFPUt1TbpquW6fRRXMdamPqiYfmxnZcadc0+Lv/drl2m9XRxHbX= ETETz391U9j5wHd9v51y3o+Nas73xcKxRH+Es5OJVVex557fAzFFX2xxVT2+h1zdmpWtY3JnalY= puU2b92arcXP2urxERz9fEdr8sAAAAAAAel9A2051fXp1vMtz4np9UTb5jsuXu+I/wB3v+3h5/o= +n5WrapjabhW5uZGRciiiIj0+efqjvmfREtr9paJjbd0HE0nEj5Fijiqvjia6v86qftlJH60RxA= CAAAAAAAAAAAAAAAAAAAAAAAABLGFn0AITCgjCYRmkwKxOFnsQEFJgESYUBOEZJwCJwqVTERMyD= hvzPHVj73C5J5meZ70mIkWGEpMMpiUFY8Jwz4SY8wFmjrV8z3Q+hLdPVpiPP52QyicLMAMRknAI= AAnCgqIyOAa3+TPfHqK5+db948me+PUVz8637zaAXKNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq= /5M98eorn51v3jyZ749RXPzrfvNoAyNX/ACZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+d= b948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8= 637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav8Akz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8= me+PUVz8637x5M98eorn51v3m0AZGr/kz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8AJnvj1Fc/Ot+= 8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db= 95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/wCTP= fHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948m= e9/UVz8637zaAMjyroT2Hl6FdydY1zGiznTzax7c1RVNFP8AnVdnZzPd9kT6XqpxHogQAAAAAAA= AAAAAAAAAAAAAAAAAAAEmFBEADIAGE4SYZAZYIzmEmBWKcMkBBU4AcN6fldWO5yV1cRy4e8GKTD= LhBWKTHLNOAYcSzs08zz6CI5nhzU08RxAJwKCMTheAGIpwDHhJZAMRZhAAAfoAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgpwJ7oEwAAAnDGYZgME= ZTDC52QK4655q+qGEwzlAYDKYSYBjMehGREczwC2qe3nj7HIccAInDIBiLwnAJwjIBicLwgIKkw= CcHCgPuAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAOAEwkwKSCAgo4qp608s657OHHwJhJSWRwKx4RlwnAMeGVuniOfSRHayAOABBU4AABJhGQDE= XhASUZJMAnBwqA+0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAABJ445VjX2iYYTzyjJOBWPBwoDEmF4POBTCgCcIyAYi8IAnCgIKnACKAnCMk= QQ4ZU0zVVEQ5vB0ehRmAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAABMseFnvBGMwkwzSYDLBJhnMJwKxWIAE4FAQJAE4UBOEZJwCC8IBwigIk= spgopmqrjzA5LNPEcz3y5OfqAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAABJVJAAAAEwJMKAxmE4ZpwKwFmAEOABOOBTgEAASYUBiMkmARzW6= eI+1x245q+qHNAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAgnHCn3ggqcCgAAAgnCgMOEZpMCsRZhACYAEFSYABlbjmeQZ0xxCgAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AJg4SVAQAXIAGAATCJMMgMsOEZ8JMCsRZQDjlyUxxHEJRHnZAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACJMCgIHCCqAAAI= nCcdrIgFAFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAO04ARBUDIAKR2qQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHHaAmAAUAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAmU5fkbu3Hpe19LjU9Y= vV2cTwlNublNE19WZ7uYjt4YbZ3PoW5sa5f0LU7ObTa4i5FHMVUc88cxMRMd09/oa5dfp9WPZib= lMVenPu/a5OWq1vpe3roOu5+PGfb1DGt5VyKbWXR1uIiueyKo4q7vrbI7M1ivX9radrNePGPVmY= 9N2bcVdaKZnzc+d6dVobumiKqu0vNptbb1EzTT3h+z5uSJ5dO6Yd31bI2Hm63Zooryommzi0V/s= zdqniOfTERzPHn4eDbL0bpw6QdMr3HibvvYWLeuTFqq/m3LNN3iZiZoot0zEUxMTHdH1PI9jark= eG5WD0j7J6MLtOq9IGlYesXdXpqt6hm3671qLE2uPBc3LVUxVNVMzx1fv8z07B3Fp+kbJ0nVNzb= g06nwuHZm7m1XIotZFybcTNVHMRzFU8zEREdnmgHZB1XTekXY+pVZFOBuXAyJxsevJvRRXM9S1R= HNVc9ndEPmp6VejqqqKY3fpfMzx23Jj/kDuY+LK1fS8XSf5WydRxLWn+Di541Xdpi11Z7qutzxx= PMPwNN6SNi6nqFjTsDc+n5GXfri3atUVzM11T3RHYDtg8p6LN1alas7l1DeG/ND1jBwq7c0V4nE= RiUzVXExc4tUds/Jj/O7pdlsdKXR5evUWqN36V1q54jrXurH889kA7iJTVTXTFVMxVTMcxMd0qA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAADy/wCE5+7G5/F2v+bqXwR+7c3/AA3/ALrtvwnP3Y3P4u1/XLqXwRv2dzf8L/7r7Vr7s= q+v+HxLv3jT9Hie5P8AKHUv4u7/AG5be9EP7sdv/wADR/U1C3J/lFqX8Xd/ty296If3Zbf/AIGj= +p6uNfYW/wB/Dz8H+3ufv5dD+GBjX7/Rfi3bVM1UY+qWrl3jzUzbuUxP4qoj73Yvg46jg53RFot= vEv267mLbqs37dNUTVbriursqjzc9/wBku5bm0TT9x6Fl6LqtiL2Hl25ouU88THniYnzTE8TE+m= HgWb8GOvxu7Vp28PB48zzRTew5muI9EzFcRP28R9kPzb9G7V8MCf8Awtxv9q2v7u68d6UMvJzNf= 2Fpl/TsnVMTH29p82sC1VVE5M1URNUR1YmeZ4insjn5L1ijoLyqejC9s6rc1mq7c1enUIyZxZ4i= ItdTqdXrffzz9z9je3Q1i7k0Lb1q1rN7Tta0TBs4lrOtW+YrptxHHNPWiY7YmYmKuznzivP9sY2= NOi7xrp6KMzaVdvbGfNObeuZExXPUiPB/4SIjmYmZ9PyX42wdibY1b4PmvbozdPmvV8SMmbORF2= uJp6lFM09kTxPb9T1HQeineGLa1bH1jpFzNWxtQ0vJwabN6m5VTRVdo6sXOJrmJ47X6u0+jK/oX= RJquxatYt37mfF+IyosTTFHhKYj9nrdvHHpEa769m5eR0NbD0i7l3KMK/qGb4Tmrsjq3KIp/m8J= Xx9rZTbnQ/sHRM7C1LT9GqpzMOqm5avVZFyqrrR3VTHW45+516joP0/J6LsTZ+p6rNzKwsi7kY2= fZs9WaJrntiaJmeae7mOY7o7YfPszoh3hoGv6Zm3ekjPzMDCvUVThzF2mi5RT/mcTcmIjj6uAea= dE2p6JpG0OkrL3Fg1ahp/hseivFprmnw1U3LvVp5ieYjrcdvoj7nXN3VafnbOu52n9EWZodiuKL= lrVqb+RctUUzVEd9VPVmKu7v75h7hoHQZbxNu7o0XUtc8Yt65ctXbdyzj9SrHrt1VVUzxNU9btq= j0d0+l+Fe6BN23dH/kW50l5NemRTFEYlVi5NrqxMTEdXwnHETEcfYD0noAy8jN6H9u5GVdqu3Ix= qrfWq7+rRcqopj7qaYj7ne3XOjPbde0Nkadty5l05dWFTXTN6mjqRX1q6qu7meP2uHYwAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAeX/Cc/djc/i7X9cupfBH/AGdzf8L/AO67b8Jz92Nz+Ltf1y6l8Ef9nc3/AA3/ALr7Vr7sq+v+= HxL33lT9Hie5P8otS/i7v9uW3vRD+7Hb/wDA0f1NQtyf5Q6l/F3f7ctvOiGf/DHb38DR/U9XGvs= Lf7+Hn4P9vc/fy7NnV1W8DIuUTxVTaqmJ9ExDVLYm6OnPe3js7d12rIjCqoi914x7fV6/W6v7VM= c/sy2r1P8AxZlf6mv+zLX34Fn/AJW7P9Zi/wBV5+bfo4fNsTpR37t3pKs7Q6RqvC05N2ixVNy3R= Fdmqv8AYrpqojiqiZmOe/7uJeoba1nduT0raxpeoZej16FZornFtWL9qrJpmJp469EVdaI7Z74j= zPFfhN128zp10jGwZivJoxsWzXFM9sXJvVzEfbxVT/PD7sXUcnSOnLpL1PDq6uTi6TmXbVXHPFc= Rb4nj6pBsVnbk2/p+TVjZ+u6Xi3qe+3ey6KKo+2Jnl1rpG3RmfE69n7G1nQr+ZayLdFV29mWvA0= xPPMTVNUUxPojl4r0KdFW3977JzN0biy9QyM25lXojwd+Kf2YieapmJmapmZnnn0OmaHER8H/c9= Md0a3iR/wCmoHs/TdvzXdv9F+3snA17Dxdx5FePVmU4tdq51qarNc11Ux2xNE1xHFUdnd2vS9qb= q0jM2liajka7p1ybWJYqzbvjNHFquumP25ieKZmrmO3jta9dN+29Lt9C+yN1027n8qXMPAwaq+v= PV8F4tXXx1e7nmO93bL2z0d7G6FcnM1TEzq8PW8bCqy7Nq/M3L92ni5RTRM9lPbNUz9UT9gPXMf= de2Mm/RYxtxaReu1zxTRRmW6qqp9ERE9rzLpX3duLSOmnZ+habqdzH03Pmz4zYiimYuda9NM8zM= cx2dnZLwLeU7Mu7fjJ27s3cek3+vTVby8nIm5Zqp9Hd5+Y4mJ9DvWtZuVqO/uh/Nzb1V/Iu4GFN= y5VPNVc+GmOZnzzPpBtTAQAAAAAAAD8PfG4MbbW28rVL/wAqqinq2aP9O5P7Mf8AOfqiXgHlU33= zP/xqI+rxWz7gNmxrJ5VN9+u49ks+4eVTffruPZLPuLgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMD= ZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZL= PuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7= hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx= 7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/Xcey= WfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTff= ruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367= j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyq= b79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+= /XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsay= eVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHl= U3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbN= jWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9= w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcM= DZsayeVTffruPZLPuHlU3367j2Sz7hgbNgIAAAAPL/hOfuxufxdr+uXSfgp52FiVbioyszHsVXZ= xvBxduxTNXHheeOe/vh7zq+mafq2L4pqeFj5mP1oqm3eoiqnmO6eJfkVbE2ZMdu19In/AISj9Hv= t6ymnTTYmO85y+dd0lVWpi9E9vhrruLok31d1LNzsTSrWXYu37lymbWVb5mmapmOyZh6F0e9It3= auiYW3t57c1TR7WHbps282rHrm3VEeers7Pu5ek2NlbYxuZw9IsYcz3zi1VWZ/nomJc8bdtW4mn= G1LU7duqOKrdzInIoqj0cXet2fZw6XuIc+iKLsZiP0Ys6CbNc125xMvtsZeJrGj13tOy7GTZv2q= ot3bdcVUzzHHfDWvTPg/9JGmzd/k3dmmYXhJia/F8zIt9bjnjnq0RzxzP873jE2dj6ZkXM3Rb9O= m5NUzM02LfVsXezs8Ja56sz/81PVn63Z8abk2om7TTTc4+VFM8xz9T51WM+z6VE1Y93h3RZ0E39= A3RZ3LurWLWpZuPc8LZs2Yqqo8J5q6q6+2qY74jiO2Inme5+3onRdnWeljc259Uv4ORpGtY17H8= Woqr8L1bnU5ir5MRHZTPdPnetJMcstNVq9nZ+1bmda2X0y6BjaZc5uV2bupRbrniJ7Jpp60TPHZ= zHHPofN0PbM1Pe/Q9uLR9Ov41i7d1excpu5E1RRPUo5qj5MTPPyo8z2SvoG6Na7lVyrRsiaqp5n= /AL7e7/xO97b0DSNt6Ta0nRMG1hYdrnq26OZ5nzzMz2zP1zMyK6HvXozydzdD2jbNuZ9jH1DS7O= NNF6Imq1VdtWptzE9kT1Ziqrt457ux1ux0R7y1Xo+z9r7t3VjZUW6sevSK7XWuU4824rpmmrmmm= ZiYqpjvmY4+rt7rujU83P3nZ0rCuX7GNptrwmfNNVdEVTdpmLcxNMTz1erNXFUxEzMejs65rd/e= utZ1i9GHrODHgZt0049FVvwXhOrz1p5+XVT16O2eI5t3PNPLtRYmr5eeq/jtDquq9EfTBqm3adu= 5+9tIyNLt00UU49ddziIo46kcxa57OI879+50Sa/Xruws/wAf0zwe3MbHs5Udevm5Nu5NUzR8nt= jifPw7Bcyt5YOhYFjBwL1zxm1NNyK4u1XLHWimmOZqmaoqpmvv7qot1TERzD6NG1HdOu61gWNS0= vK0/CouU5VdUW6rfbFuKvBVVTPyoiq5THPEczbq7OJ7HJnGcrzo7YeiUqlKuLsAAAAJVPCuidM2= 7I25tmbGLd6uo5vNux1Z4qt0/wCdX90dkfXMegHlXTduyNwbknT8S51sDT5mimY7q7ndVV/RxH2= c+d5+faKACgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAADdABkAAAADgAODgAOCIiO4AAAAAfLXp2Bczac65hY9WVTTFNN6bUTXERPPEVd/D6erT6FBMJ= 1Y9BFMQoKAAAAATPAOLMyLGLi3cnIuU27Vqia66qp7KaYjmZaqdIG5L26dzZGp1zVFjnqY1uf8A= Mtx3R9s98/XL0/4Qe6/A41G18K5/hL0RczJj/No76aPv75+qI9LxBYABQAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABugAyAAAAAAAAAAAAAAAAAAA= AAADG5+yANXemD94+sf62n+xS6mCgAoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAA//9k=3D" width=3D"793" height=3D"1121" alt=3D"" s= tyle=3D"margin-left:-1pt; position:absolute" /><svg font-famil= y=3D"Times New Roman" font-size=3D"16" height=3D"41.33" version=3D"1.1" wid= th=3D"209.31" xmlns=3D"http://www.w3.org/2000/svg" style=3D"width:209.31px;= height:41.33px; font-family:'Times New Roman'; font-size:16px" xmlns:xlink= =3D"http://www.w3.org/1999/xlink"><defs /><g><g><path d=3D"M0,0 L209,0 L209= ,0 L209,41 L209,41 L0,41 Z" fill=3D"#7c7c7c" fill-rule=3D"evenodd" /></g></= g></svg><a href=3D"http://www.anatomiadigital= .org/" style=3D"text-decoration:none">www.anatomiadigital.org</a>1Ar= iana Nicole</span= > <= /span>Sari Y=C3=A1nez</s= pan>https://orcid.org/009-0008-= 7576-8002Universidad T=C3=A9cnica de Ambato, Ambato, Ecuador.<a href=3D"mailto:asari4346@uta.ed= u.ec" style=3D"text-decoration:none"></a><a href=3D"mailto:asari4346@uta.edu.ec" style=3D"text-decorat= ion:none">asari4346@uta.edu.ec= </a>2</span= >Nicole Estefan=C3=ADa Malliquinga Salazarhttps://orcid.org/0009-0009-7264-4490Universidad T=C3=A9cnica de= Ambato,<s= pan class=3D"awspan" style=3D"font-size:10pt; letter-spacing:-0.3pt"> </spa= n>Ambato, Ecuador.</= span><a href=3D"mailto:nmalliquinga2892@uta.edu.ec" style=3D"text-decoratio= n:none"></a><a href=3D"mail= to:nmalliquinga2892@uta.edu.ec" style=3D"text-decoration:none">nmalliquinga2892@uta.edu.ec</a>3Sara Ab= igail Paredes</sp= an> = Pilcohttps://orcid.o= rg/0009-0007-4226-9912Universidad<spa= n class=3D"awspan" style=3D"font-size:10pt; letter-spacing:-0.3pt"> = T=C3=A9cnica <sp= an class=3D"awspan" style=3D"font-size:10pt">de Ambato, Ambato, Ecuador.<a href=3D"mailto:spa= redes6408@uta.edu.ec" style=3D"text-decoration:none"></a><a href=3D"mailto:sparedes6408@uta.edu.ec" st= yle=3D"text-decoration:none">sparedes= 6408@uta.edu.ec</a>= 4<spa= n class=3D"awspan" style=3D"font-size:10pt">Dr. V=C3=ADctor Pe=C3=B1afiel Gaibor, PhDhttps://orcid.org/0000-0002-0187-4143Docente Investigador U= niversidad T=C3= =A9cnica de</spa= n> = Ambato, <s= pan class=3D"awspan" style=3D"font-size:10pt">Ambato, Ecuador.</span= ><a href=3D"mailto:vi.penafiel@uta.edu.ec" style=3D"text-decoration:none"><= /a><a href=3D"mailto:vi.pen= afiel@uta.edu.ec" style=3D"text-decoration:none">vi.penafiel@uta.edu.ec</a><= svg font-family=3D"Times New Roman" font-size=3D"16" height=3D"16" version= =3D"1.1" width=3D"571.93" xmlns=3D"http://www.w3.org/2000/svg" style=3D"wid= th:571.93px; height:16px; font-family:'Times New Roman'; font-size:16px" xm= lns:xlink=3D"http://www.w3.org/1999/xlink"><defs /><g transform=3D"translat= e(0.02,0)"><g><path d=3D"M570.96,0 L0,0 L0,0 L0,0.64 L0,0.64 L570.96,0.64 L= 570.96,0.64 L570.96,0 Z" fill=3D"#5b9bd4" fill-rule=3D"evenodd" /></g></g><= /svg><img src=3D"data:image/jpeg;base64,/9j/4AAQ= SkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAAyADEDASIAAhEBA= xEB/8QAHAAAAQUBAQEAAAAAAAAAAAAAAAUGBwgJCgEE/8QAPRAAAQQBAwEEBQgIBwAAAAAAAgED= BAUGAAcREggTITEWQVFWoQkUFSJhltHUF1JicpGSlbEkM0JxgdPh/8QAGwEAAQUBAQAAAAAAAAA= AAAAAAgEDBAYIBwX/xAA1EQABAwIEAwYEBAcAAAAAAAABAgMEBREABiExEhNhByJBUZHwCBQV0R= ZCobIXUmJxcoGx/9oADAMBAAIRAxEAPwDuP2yx2jt9v8Mt7aN8/srXFqGysJ0mTKcflzp1bHky5= Dziv8k49IdNw18E5LgUQUREct3R4FRVU+4tWK+vrayK7Nnzpkx9mLEiRwV1999030FtttsSUiVf= V4eOo52uuFb21wJpCJEDDsbDz54QaiIPK+KJxwnt5+zz1BfavZnZ/ilPtjCtpdQGXW0ZmbIiqnL= sdqQ0LceQnKKcY3nBcdbRU61bBFXw414GYs0UPKVNNazBJdi0pqTBjSH2GFyXkKnzGILAbYR33F= LfkISAkE7mxthz5CsVFEqPQoaJ9WESW/CiPPpjtPuxmFvBDr6zZtvhRdSjqUggakYqJvV8pJtfh= 1lIrcBw2rsobDrjQXmRzZ8VuegKoq9BrGHCmlHJUVQckdBEKipACkiabG1Pym+CZDbMQs0wKlcr= 3HBF6ZjVhYJPiNqXSTy1s90CkNgi8mjbglwnCKiqiazi+UzxDE9ut9cTwTFI0aDXU21eNttsgja= SZjnzy1SRZzFFEJ+XMfQ3pDxIqqZdCdICApGPYHpajIu1PtnR3tfGtKazdvYVjXy2hdjyIkjH7J= t0DAk4ReC5Ax4NtxAcBUIUVK9J7UozOcBltnL0NylJqDVOMtyTJ+prS4psCUlwL5SF2WFhrkrAs= ElXEQRszL3wDTK58MX8c5XbJmeHn13JM/ObVBjUejOZMivQ4smS3Q3YrjaqjIYWqOGVzhNbe4VK= cS2CA3jrtwddsc+xutyvF1r7ijuGBkQJ0WRJUHAXlDbdBXkNiQwaE0+w6IOsuCQOChIvLml4Ziq= xJCt1rQr3Lq9QvykJOAJeUXv0US9hJworwqeKJrNDslzpm0u9O82wQT5MrGKiX6RYu2851rGjSl= YdAfYBnBlxQkIKD1vMqfSnPGtE5N0Sxn/rrwrLyeK8f6C/v6/L2a6ZUoyIMnlIWVtONtvMKOpLL= yAtsqIvcgEgnYkX87YJyjXX8xUVubJjpi1BiTKp1SjIUpbbM6BIXGkhtaiVKaUpHG0pRuULTcmx= OM1/0lbge+mQf1OR/wBmjUcd6v2/zL+GjUDmJ6+h6ff9D5YtfLHmffs+xrevbuyUMAwseUXoxWh= Ffrfq1kVPj/v8dM3dwZT0amyGEnVIx2aEohFeVFrrB0XFROFUQdaHrX1Iq88cKqN7B7UwwzFQQ1= Tox6nDj92CwKePr44Tx9nGvlh7q4DdTp1JBzTE7WyiT1pLCqiZDUTpsazVH0WqlQ2ZbjzU4kjyR= KE62L3+HfBW07o0Hn/aDlFvPWUazllyUqE5UGGzDnJSFmBUIjyJcCWEWusMTGWHCm47qFW309nL= 9X+hVeJU0M81EdwpeYUVcL8ZxBaksq8UlbSyEqvodxsRRnfzsSt9sntJ47u5f5cmPbc0OFUVRPr= qh5EymwtYc6xkTIAEqdFfF7t9ofnhI6romvdNr4qi9j3Yax7s/doHDd6dv8gUcDon7N64xy4fR+= 1gd/UzI7Q1MpUFbFHXnAAGHUF8OtF6yFFJLYy8QZalLMorKTUmaqSNtG4gAi+PSBtmjiAqr4ApE= Pq5VPNPiY/FuJskbTJTvHKqQEabEbmK+5CkEy1KGLLFXnHIrpx3mH0ZIG3CYdadRFBwCXhERXan= CCoUnsjp9Tzb860+vOSczxG8tSpDKkpbqTrKkfVYzKgA67TWmLrJWlKwopUnTEft4zFEoacv0/t= Nl0/IycqTMpfgtVFU8sUqeypuQ0tsj5WTPBcUWak47zGyEWIRxpLP7NLF/lm627W+N/VS6ZrIJ7= lHRwpzRsSRhxXG2+FA0FS7iLGisuuChAT/AHnQvCLxeKRar3L5KqJw04i8L+wSfZ7efFfL+GoNx= 7JaKxqmH8Ysqyxp2yfiR5NNMjTa/vIb7kWSy3JiOOsG7HktOsSURwnAkNuA7w4JIiq/bmjD31y8= GnPBP3C/t8P4a1c5Pnz24r9RRGZmiHFZkNQi4YjbrUdCXUxi6eaWA4lXL5nf4LcVzqcY5doUPLk= JynRJMmYHZ86e7LloabkSHp0hUhx15DN0JcUVAKCDwjhFhilvel9n8w/ho0md6ft+K/jo0fCn+r= w8f8fsf08tLBiaMfs+8w+ohpIcYVzH4kYXmSUXWVOADSOtkhIouN8oYEnHBCiovhqiQ9ne5dx/b= nDsotttqeq2qjU1VHv6JywocxyaBUVV1FatLa8hya+yrJFgchu1mxGJbgSbBLCYck0JU1aChthb= pKkFJeW6+GHl59MdtPHz9fnx5f8AGqo7+dnuw3Xm5RcU+XBXO3mNpX/QkysB+LItYWP5PRVrzs8= nOtiF3WSyDlsJGd70mWxRUFSTUVJA0BtcmxsSADYC4O59fugsL3OpUT42sbAbDrrhoLt3uVisCr= usv7SETIIUtvb+hfBzPslZi55KgRsXxuZjbi1VgciOEy/jSZDlvS93Pees3FtXCB2USzLtHiz23= O58yzyfeChu4Wc0hVg4emU2sv5jaY5iGM093PhWMuydm2k4W6l1uxm3z71pHhpHeB9qQclSiyd2= TIM+xdt3surmZ1jkVTf2LUTDa1utgHR2uO2cJvE69X1axp2SWOxxs5EZXFmG/JcMEUkTTZg9iiu= Yr5sKXuAclybDKGctnGo0J0EKpbrXHmAjygbgrNKNGenx64YkR1spUVlllp4ehzueK77Xsm1zdJ= Bta19QAdwDvvhbgG1+l7G2pHTzthdxns15zSYji+A4fvZBrm4+BQKyBNoc5ydiUsZutmRLhulqI= 9wURyusreV9OJftNFYxJTYsMPtgICOmVY/CoaOHS15PjAqq5qBEGVNm2EhI8VhGmkkTrCRKnTHU= AURyVLkPvvFy488ZkRLnvt12aKvbzNsZzSvyUllUzNn9JR2q6USWjtnMtppMi5ZWlmkSGw9auG3= 3DQS0cE1CQLUh1pbeO3A9y6vWX+WfPKcJx0rz6kXy8dASLixNvE2IvoANLb6jp6jAjhJ213vb+3= iR1GI+739r4f8AmjSZ1L+ovx/DRqVdP8w9FdOnUYLGoV7gWCleXJlheJkZ2cwzIscp1IzN0jMyJ= YaqRGZEZEqqpESkqqqqukv0BwT3KxL7uU/5PRo0wd/9J/4MEnf0/cnB6A4J7lYl93Kf8no9AcE9= ysS+7lP+T0aNJhxW49/mTg9AcE9ysS+7lP8Ak9eBgGBkXBYTiJJ18cLjdMqccp4cLC44+zRo0Sd= /T9ycNq2Hv8qcWa9GMa93qP8ApMD8vo0aNTsRcf/Z" width=3D"49" height=3D"50" alt= =3D"" style=3D"margin-left:481.95pt; position:absolute" />ISSN: 2697-3391</s= pan>V= ol. 8 <spa= n class=3D"awspan" style=3D"color:#ffffff">No. 2.1, pp. 1= 9 =E2=80=93<= span class=3D"awspan" style=3D"letter-spacing:-0.2pt; color:#ffffff"> </spa= n>33, abril - mayo 2025 Rev= ista en ciencias m=C3=A9dicas, salud p=C3=BAblica Art=C3=ADculo de revisi= =C3=B3n bibliogr=C3=A1fica.Ev= aluaci=C3=B3n Integral de la Hipoacusia por trauma craneal: Fisiopatolog=C3=ADa, Diagn=C3=B3stico y TratamientoA Comprehensive= = Evaluation of Hearing<span= class=3D"awspan" style=3D"font-size:14pt; font-style:italic; letter-spacin= g:-0.2pt"> Loss due <spa= n class=3D"awspan" style=3D"font-size:14pt; font-style:italic">to<sp= an class=3D"awspan" style=3D"font-size:14pt; font-style:italic; letter-spac= ing:-0.2pt"> Head Trauma: Pathophysiology, Diagnosis a= nd TreatmentArt=C3=ADculo</sp= an> de Investigaci=C3=B3n Cient=C3=ADfica y <span= class=3D"awspan" style=3D"font-size:10pt; font-weight:bold; letter-spacing= :-0.1pt">Tecnol=C3=B3gicaEnviado: <sp= an class=3D"awspan" style=3D"font-size:10pt">17/01/2024 Revisado:<sp= an class=3D"awspan" style=3D"font-size:10pt; letter-spacing:2.95pt"> </span= >15/02/2025 Aceptado:</span= > </= span>27/03/2025 Publicado:<= /span> 08/04/2025<sp= an class=3D"awspan" style=3D"font-size:10pt">DOI: <a href=3D"http= s://doi.org/10.33262/anatomiadigital.v8i2.1.3389" style=3D"text-decoration:= none"></a><a href=3D"https:= //doi.org/10.33262/anatomiadigital.v8i2.1.3389" style=3D"text-decoration:no= ne">https://doi.org= /10.33262/anatomiadigital.v8i2.1.3389</a>C=C3=ADtese:Sari <spa= n class=3D"awspan" style=3D"font-size:10pt">Y=C3=A1nez, A. N., Malliquinga Salazar, N.</= span>= F., Paredes Pilco, S. A., &<= /span> Pe=C3=B1afiel Gaib= or, V.<spa= n class=3D"awspan" style=3D"font-size:10pt; letter-spacing:3.35pt"> = (2025). Evaluaci=C3=B3n Integral de la Hipoacusia = por trauma= </s= pan>craneal: Fisiopatolog= =C3=ADa, Diagn=C3= =B3stico y= </s= pan>Tratamiento.<spa= n class=3D"awspan" style=3D"font-size:10pt; letter-spacing:4.85pt"> = Anatom=C3=ADa <sp= an class=3D"awspan" style=3D"font-size:10pt">Digital, 8(2.1), 19-33. <a href=3D"https://doi.org/10.332= 62/anatomiadigital.v8i2.1.3389" style=3D"text-decoration:none"></a><a href=3D"https://doi.org/10.33262= /anatomiadigital.v8i2.1.3389" style=3D"text-decoration:none">https://doi.org/10.33262/anatomiadigital.v8i2.1.338= 9</a>ANATOM=C3=8DA DIGITAL, es = una Revista<= span class=3D"awspan" style=3D"font-size:8pt; letter-spacing:0.45pt"> </spa= n>Electr=C3=B3nica,<s= pan class=3D"awspan" style=3D"font-size:8pt; letter-spacing:0.45pt"> </span= >Trimestral, que se publicar=C3=A1 en soporte</s= pan> = electr=C3=B3nico</spa= n> </spa= n>tiene como misi=C3=B3n contribuir a la</= span> = formaci=C3=B3n= </s= pan>de profesionales competentes con visi=C3=B3n human=C3=ADstica y cr=C3=ADtic= a= que sean capaces de ex= poner sus<sp= an class=3D"awspan" style=3D"font-size:8pt; letter-spacing:1.55pt"> = resultados investigativos y cient=C3=ADficos en la misma<= span class=3D"awspan" style=3D"font-size:8pt; letter-spacing:1.55pt"> </spa= n>medida que se promueva mediante su intervenci=C3=B3n cambios positivos en la socieda= d. <a href=3D"https://anatomiadigital.org/" style=3D"text-decoration= :none"></a><a href=3D"https:= //anatomiadigital.org/" style=3D"text-decoration:none">https:= //anatomiadigital.org</a>La revista es editada por</= span> = la Editorial Ciencia Digital (Editorial de</s= pan> <= /span>prestigio <spa= n class=3D"awspan" style=3D"font-size:8pt">registrada en la C=C3=A1mara Ecuato= riana de Libro con No de Afiliaci=C3=B3n 663) <a href=3D"http://www.= celibro.org.ec/" style=3D"text-decoration:none"></a><a href=3D"http://www.celibro.org.ec/" style=3D"tex= t-decoration:none">www.celibro.org.ec</a>Esta revista= est=C3=A1<s= pan class=3D"awspan" style=3D"font-size:8pt; letter-spacing:-0.45pt"> </spa= n>protegida bajo una licencia Creative Comm= ons Atribuci=C3=B3n= -NoComercial-CompartirIgual4.0 International. Copia de la licencia: <a h= ref=3D"https://creativecommons.org/licenses/by-nc-sa/4.0/deed.es" style=3D"= text-decoration:none"></a><a= href=3D"https://creativecommons.org/licenses/by-nc-sa/4.0/deed.es" style= =3D"text-decoration:none">https://crea= tivecommons.org/licenses/by-nc-sa/4.0/deed.es</a>Esta revista </s= pan>est= =C3=A1 protegida bajo una licencia Creative<span= class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spacing= :-0.2pt"> Commons en la 4.0 International. Copia de la licencia:<span= class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spacing= :2pt"> <a href=3D"http://creativecommons.org/licenses/by-nc-sa/4.0/"= style=3D"text-decoration:none"></a><a href=3D"http://creativecommons.org/licenses/by-nc-sa/4.0/" style= =3D"text-decoration:none">http://creat= ivecommons.org/licenses/by-nc-sa/4.0/</a>D </sp= an>i a</spa= n> g n =C3=B3 s <= span class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#= ffffff">t i<sp= an class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-sp= acing:0.45pt; color:#ffffff"> c o = M = =C3=A9 d i = c oP </spa= n>=C3=A1 g<= /span> i n a 19 | </span= >33<img src=3D"= data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEB= AQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQH/wAARCAAbAEwDASIAAhEBAxEB/8QAHQAAAQQCAwAAAAAAAAAAAAAABwQGCAoDCQECC= //EACsQAAEEAwABBAIBAwUAAAAAAAQDBQYHAQIICRESExQAFRYhMUEKFxhRYf/EABcBAAMBAAAA= AAAAAAAAAAAAAAABAgP/xAApEQEAAgEDAwMEAgMAAAAAAAABAhEhABIxA0FRE3GhYYGR8CKxMsH= R/9oADAMBAAIRAxEAPwCfl6dRttBwy5rftexbEVDAvq92BmawJlMDX+Uvqt82EwQqBQ5lGedVDn= U/AwDFH2UBLVAIIdPGugrYAqogvrrlzzh3rExLQbE6U5qZXwVJ4jFT3LYtyyezf1RKeFwR5sTG3= wVribwQhsnsW2paORLcopsgWkkSiohoDW9lj018tXj9hljBAuMFF6k8jVjxNmeMp7MkgvSunW6p= BV6BqS2cIbuDA5j4kcd9+MqZehBkkNd1Fc6bOHPdnbGlE9Fyoa/enVev4++SgW6uehuY3ZxgHMd= aBdTV9CnOfQuUYrfQFd+jNGOckkcObE5DKVZ0AM7yRAAvLFlFXOEIjKWVust8V35/DrDp9Md021= ZzKtrCVVNJ45xR20rg1/dEwG9SuSO04fNqK6J2YCZbBDGa0JlIamvOGgL5FcZLVMq3dkcmrta2P= a9Rs3RN8acZ1UMFRxtprkhNx/TfQc+uGG0HPlK8rznBiBdL6viwpHPZI1tD+6sOJQ11tAosJLmT= SRzJWOrBuzmsc7BtzQk6tAqvymH6o6NLveWQiw+NuJbgi962r0XNYd5I41EaWuS4arOqifSSJSX= BjPPo8zCHxGEmSyECxHdxVxKUWL6D2S1KJKrKFMW+RcEJfKr/AOPflM8bl4PekFf+uhLTvDnSTO= Ti3x0a4XCX1fGAC6wjkjeFB2jM5is6goACEZKK0OcY6+Cnt+qmuhmBpIRj1K7SGVK1YxOH65x3+= 2pOlA6u1tGG6tzQiFGbp5q/jSESadR1LVdC9I2bOZDaXKV/uMai/wDuc3qTus7FoSaTM/Vmh7Xe= dfkTiRBNbLIZIsFFNn0F0SyySN4YgnQNJNzSU/Gg79UuVjX9afP0F6xqznZtoCDAzu8bkvy33/X= VuScddyEorWlf7Thkc5w9NAWqRUuc0i8Nka3c2htISXcT00Pwb05iHUZ4R+c/FG1alvvZHR0kZp= jcFcBObRJV+b4+Be7RZ88sOz3JgKcGuHtYsfhje2wZsNcP3kglkiaE2gQtEc9YQyVlEeZJFG+tu= GunKt5+PuCyrvmHUnHdhdKLOEMriwhLGa4eLKYZG7hjyOsoiFnV0+xYxExjbnEVzOYnaIvDYC7N= 4Z+wzSPqBdNWA1njj2/vTYdP1Ym7t/hueRinCNpffgPppUxWjdcNrulOhSeggOneRr2lrLWQFz1= +4WHAJdUFqv5CTayw23YSZMnsYP7shVTijgWEWhvH5OsI3uI+6BSRecs/uyzngq5XOPXqz870Fz= TtGgL96duKS2VKGZsnE00CUidT1rBY/Ihnabz1ySdGvcgYZVTI6zs1AhhOBhW6aMZrOS7Ej1F13= xVJ+wK6uh26UtWHTCZcpt6yd1S3jaiItYMOtMR0dOjACBj1ZTHdo5vFylZgm5fy17dcCxo45IIt= 2INza7tbZHro5Oe2Cjy7qx2ZW/enLjT0nKnCvaq6CRj28eWltdtNjJEhM7TaMNLazUo+zSPJQCo= RbWSoAs3ZOOa6Q35eRx5quTvpbOmdUhdXBU3OW4gUr2vBWH767Ra/rHY45HrgB6Waeq+WXmy2ml= JnbUEVtuo7I56tiS/W1h7HdlTTR9/bNMflhZgDWFIcIgbCOTszaqBkBuSRWtj7xkvr9IucnvaQP= z2/KtF43SyNpT46nPRwzQJNDFw27VwdVzDtwwti1kgkFCN0wxvjEG1SFQRRTrLXa7yaTvPaEfsD= erW/rbyd23ya4Y5oo2x2q52jmSiuVTC3F9uG6LFiiOIg3SKUaHLtow4pChr+9LxsZlTdNE3lVps= q+LDHpzjLcf1zjHQt4Yx6/wB/T+W7+nr/AO5/vn8cXb1P4hTDPgzGgrizWsIQ9bbWPTlLaqgk4U= grTl/vvrz7bj8jIE47q6U5bv2VBUc30n2/f0h5W6Zh4BKchpS44Z0LPnGKP8v9CtsOMUeFF1WiQ= baaIjoira/f1TB2WcG2znUvni7Rh0DAj1u+PAjpSXigDiNV58u3jWylTWfhJHGgkmObpHog7wXV= yTxoSagRg9AVXZfRBBFLGumumTrXxs8VzLq3pyXSOmP2MhlHQlzyJ9cMWLa4X3nl7seSubmZ9Rv= nQoIv2TiVl/rhjDioe/4x0EUdNE9R2zcD8uRcDZpjcMmrC1qa+zduaL1v1uBzrvtn3a/VFs9JHG= NvXPr6aY9fXP8A3n8YBxj/AH+b+NVTzGgaaTj2DyfOs3kz8qdtHzqN9J9QulWNl116m6CckcK1r= KEbCjFKGPyWQXq37zmDfsKK+zrLPuQ1tYgKaIo+i2UGzKaShqYsXOX++e5PJKFYcM3ZuQfoQlSG= opsdr1tMZADJJJNyJANGWloQYm6U5CLIJjpaCjiciGOhuQLphbfZbOuDOX4weHHEhU0+lSTjCd8= qkFl2pc5JK6u3p7lFl1rE3VV32/zvvtttn/OfwjVvw5zPT+z5mr4VJ4JtJhxBX1SNXDdLYo5JNu= 5C7dlZVCw9VNVm9ckhYElLZMkRVZRQdVPbfOcjEW0FOP398aWyK3IJS8p7Y+Na+bR8mHVnDTbXI= 0SYeK9Q7nhYFoMolPQpyQUVhbxohtGnuT4zhr3CNeNtnBNBlOU3d21RrM1cBRfeh8pQ5y758gfk= cjFsNTNB+R5I1VNrCXJ/itlQ5zNVdB5aW/oJuEbbtsuqR5EeEjbm7PCSeyB6TSisQCmVlFVLWQj= 542OL5Hlqy/VEe75Y2YGPM/37Wucj9axt+VtwWoP5LDz8AImxC+yA+nomnlVTOuMe7P45YHwZy5= WGxi1dwSTwpVxLAXPVjdyXc0qFrNSZqLaqRuJYyeym4SLw6JD7bZznTQ8rXH9FdsZWyF3tLx8aP= Thd7I35rP5+2oQ3P5FOseAdxIpHWDjkZ+Kdj4/YkaqupZ5HtodNWdqY3cyPO769sEZj8yyMJIBk= NHuGvMmZtjBTtETcibAGuLioTyMdveQCKW+0kRrk13Cq1gCkP8Jn1Zy2Xuk0cTW+TuILdEo6wAy= c1YpNGKnJuDn9VJFq3Na1CttASCzAZizzhjmW0m+MNliwqUzQCHgbARkWQ3JdjkizC76ojbJiak= WLtnXbYYEIbZbfO6+RgxR8qZRHR005rnhnmWot3resYTJ4NvIxUw3zaOXDdTbs4oDaFfWwvsjYe= M/KLgsvUYlPOhI+pROqKumpC2NzZHGDHGj04Xu2xvzRfb/hqAV3+RnuLx2SGKV6vUHK8M3seuYn= aYm9d104NQBQclQXwu1OS2+zUuU+xV3DcY8/Je0kUN4ALREKIRxhXe9n/pxbumHSvi7r28pzo1h= S2xLdvx3fBmQXcVqTLHs99atfpjqrLKJJ5Hb0M512V3z8md9vXGM4xip/O+A+VbMUBJsKAyaaEN= ijnu3LyW5bveFgf3bgu7u2giptjrboJHOa6xy6KW2qOSVVFddNdt9vW5f4VKjr2ivHzV1c1XH8x= aGNcqtI0Fmw7Pj38BLrYL+eer+wkTm7uqv2C1lFfYscoml7vjR1TS110wEYmQPuXx73qoxjFuIC= lWYa8fvfOv/Z" width=3D"76" height=3D"27" alt=3D"" style=3D"margin-left:-1pt= ; position:absolute" /><img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJR= gABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEB= AQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAAiAEADASIAAhEBAxEB/8= QAHQAAAQQDAQEAAAAAAAAAAAAACQAGBwgCAwUBBP/EADgQAAEEAgEDAgQCBgsBAAAAAAMCBAUGA= QcIAAkREhMUFTFBIZEKI1FhscEWFxgnKTJxcoGhpvD/xAAcAQACAgIDAAAAAAAAAAAAAAAACAIE= AwUBBgf/xAAzEQACAQIFAQMKBwEAAAAAAAABAhEDBAAFBhIhMSJBcwcyNFFhcZGxssITM0JyobP= B8P/aAAwDAQACEQMRAD8AMgw7guzeZXbh5o2G1wUXR7drCArjZnNUl9KMfiyv5eIdpkAZWdTqMd= gILPtqbO85x68eFYynz1YPsR7o2vt/TW0w7PvljvmaVd4qGrTqzPyy0jHRTmAE6KyzJu/ckHYcO= FZWP4xydYvOUIUkeMJwIPhRj/DS7kmft8qpWPv9fj47x/34/PH7+iY/o7eP7nd+5/Hz/WTCY/8A= Mg+v/wB/Lpjda6eyTJ9NeUm1y6xtqFLLNaZVbWB2h6ltQqWaO9KlVfdURHYncA/aHxwtWis+zfN= 9T6Buswvq9epf6azGpdFnKrcVEuKyo1RF2q7gAQ0dRMScauWFKnOb3dWZ8Pb5su90rR2stIp2Cq= tUmfcQBbNPvAxrsrs+Uets6eoLNNRicOWzrLONjDjaJCty4Xl+XzWmsu2/tHh1RaTZdvzFJnr9v= LY1iLM7Kky5IqB1xAOHjWYimjZqxs0ehlCDzFxsklImT8zhyNeVuM+Jx56cQNMXnctB5FO+Va+H= u7IuHfViIvLexVuD/pZCsc/rWqm1gdscPnUYCT+EORsYifgnbcDsK0Jbelp6/wCHVM2m31bcr7z= g/tOR2kLfs2ZlbM7e1N+FzAbIpcPUHdTkZOFkitohlGoj3ki3dK9RSHkzJz4SNPS7SpFMhoUCCg= VvYC27oCZ494EYZXEPa37xmzto1PYWyIaoccI2r1mgbOvkNr9zunEjvErCjM3xY5U1RGDVa2beR= K1CV4rJgFAxcIdoDgZAqW66R3bduVhMLMck9GVWqVG/cZLXyW1rK69tzmcdzELWoRE4GDmWckBv= 8qfyoCIaDzlRENnS0YUsw1ZVhya87Q2KXTrfRaXyMevNRXWkX2qQ8S61nr13OsIbYTN77ThN/aN= G1hlQR65DDpqhT1IHYkCErOAenGJEtfbp05Io1HA7D26ksDojiNcNA2OHcYiYtzK0mbqi4KRvcg= 5I8UuBxEgHmTQ5yIjFsYKVlNhKM+RhRnhRtmDwxIHHMRwZ6wSesYMV93byt5gbE4NbU3jtXS1a1= PqCd17SbdRJXXe4JphtMy57Z+vm8AFy7i2frgAyEJIvXbxw1dKMQKcRxgIG9MlGO6O6ZtDjMMTZ= bPi9aanVaxRX5as739hW/pGHkoKFOfJ6YRr7hrEkTpblTcp8uXKEKcrGpZMozLFS7ctuvPHKzaS= Hzhtm1tA3KhQdWoLNVeqMpGVyPr92qtohJWLnIoyMzXwjSrmghYy5w3+HkCkT4W3EnEO7n7Quvm= 8ncGDjlY21rB8gJWEinUBbKVr6Xlp22NoVuxzH1CyT/t2Bs4ehjVuwREK7S4EnBfT7iEqX1ELR3= clR2ieyGnb2YPJPMSfV/GDAruFCsY7aXckT+2LpOcf8P43Pj9v28fs/f9PJLP0d8uEaf3/nP32T= CeMefw/Gst/v+f2+349M/iZ25OS2otE8h+P24NZ5mKxyAFBNnVg1xsujAna83iSCITIm1lQqPKU= hAIykmffxhHrRkOFKSVM+cX+F3Ijg28njaFtMjNUqzyzaStGrty0uIdfMiNQIaicxexNZT8qeHk= ktUqEN2atuorPhGXcVjxguGA1vqzT2aW3lCyuwv6VVs81LYZvllym57S4trW3SlUAqjtI87goqI= oJHLCcLdozTefZVe6IzK9y24p0coye9sb6jsP49u9es705pGC4UOCzK5gGIJGNndqolM2fyj7Zl= Dv0QxnKZadq7MibHESK8oZv45w0oOTN3KkEGrAlenHqzgiM+cfXHnoaHJama94ic1OReueNELDD= 1hYeF0tZdha8w5NOUxjOhxImQCRjVO1owjCIyCk0MzmyQBJMix5GN2gfR6t+8PdR8/wBjrM2+WO= 29bWXVpJ2RgWdOtcfAuGz2yjhwybgE9iEmBSrZPyRr8EVpmPcgxk3xIUrX7YuTrbtF8R9Y0/bVX= h2+xpuS3TVz025X+23FNgvya24I2KSNhZhzEoYRaFEagUQo4ghz4GgbkhhDEhHgSsaahWMlV2lA= AUJ3Bg27dzHdAMgR3zhjqbrURai+a4DCQQYPSQeQfWMD8g+XXNC9/H6v4yWLTep6dxe4V6U2ncT= W+pO56QtUhLaSrd6cQ9XjcYKCNi2TV2iIjceUhDhrgxnJkmQIFd4Pe28OTLTY9wW/1zA7Suna7v= F5tN6NSBHePoaOuMwztNZbhbOwDagmKlHPIyNUlOURss4byuUmyBQV2k508DbFK2qPhdCcW9t2l= 7DaDqWqGW56RySgdYjsLStV0lTr0NsaqO6w8Ta0V+Oj4rMk6CWI+cNF5YpK1EIfs2R4/wDCDV3E= /QVY2Rvt1Ku79A8W3uhtpRMfJCf1N1VrFMPpqUrsRFgj8SEhOGdS2IEDltIkRIEz6WzX9cheJAg= wAm52YBFQAsST0IkliT0ELzz0nA9RKSNUqMERRLM3AUDvJ7v+GKQ6X3nvjjT29OLb5/yp13QHez= n7ZpqGDBx9sOzrCamsYl/8wqOYSuvDPpiXaS520qex5GAIWpER/sqKdCsRcDlztHldjignbzyFn= bJqPuZ1uhtLXDVOToibPCF11Ly0e9f06XSh9AyAlnciM1OgRMCwFJR+8kpCWdfcR+3jDMqfo/F3= 5HZJXLgG40KwNtkGRMapl5Zm4jHVdr0uuHQGFi3bOMC4cMTMJDJjKZnZvUvSqyuV9V8SuBtakKd= AUrY23rraWHI6D3XEDnLowmrJMbMjINFYK5lHR6szU9gY+OkimnWhFhfDO3WfDtOEpEXO1vVRQ5= oVFDSytsHCMSJMchSoHsBB9s1EzOwdiq3dEsH2bd4kvtDbQP1NBBIWT19WDg5/y4/3fzT1n4x7f= 0x+X7+l0utWe/8Aav24t0/NHuX6Fx8J8YwsXjGMeFY8eMYx485/H+Ofz67Sfpj/AEx/DpdLrKvQ= e4fLHK9Ph9K496p3zMCI+tKmI4hmGvc+phrGVCSIWM1vZBKhSF4ylSChIQRE5xlKxrWhWMpUrGV= 0urVn6Vb+KnzxQzX0G48Jvtw6K/rnXpmkPMGolNLLOW8G7cShaxCEkXDoQwOBuTPlscuSuBuEpO= gxCqIg2MFSrC8YV054LXtBirG2l4uj1CNlgGdGBKMK1Cs5EJnWT4clE9bshuRkcYITByILhRsLX= gmVerPldLrZv+TU8P8A1cddt/SKXjp/XTx//9k=3D" width=3D"64" height=3D"34" alt= =3D"" style=3D"margin-left:-1pt; position:absolute" /><img src=3D"data:= image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADcAAAAnCAYAAACrDdDdAAAABHNCSVQICA= gIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAACExJREFUaIHtWHtsU9cZ/333+l47seMkTlLSv= EgKYRplqCIUmJZSGFUnEKwCCejGVqAqMDaxaes/458pmrZu0zpagVoNOlE2jYmlk4YGZVuFCn3w= bGmhIxUBCgECeZDEju1r+77Otz/8wPEjJCbsn/Gzjn197j3f+X73fK9zCPcRx65EJ9uy5VYLGMs= MNiNSYP50d0+h81OhA3Nh3Sufli1trVzkJPm9ZbNrBlp/fviADnVeQcIYiBpmcDgc6a/wOK1Kr+= usR5E+iNjaR6Fbw70nXlkVvZsIR0ET58CW7ZecF6O9y890OZfWeIs/ATBwcyhSZkh2ZaEymbkSk= vJIv2bjthZuLVLkDYokOlzusr/M/817hyY19V18a9UqO994qdCJM9SgG9w7oy+kr+sNGrWxiREK= IkpegElCxGTnsE6zBmLiF4Fg7LWrn5Q80bLzYyXf+Akht+zloxW3/OaKQMxqsZjliZCZBCU+ACH= 5Y9twDUbs+X4TP4tdvfXEgra2nBZ4z+RWtneoDOUbgaj5LcNm991EMgPMDBYi+SdPE/HnEh+AR8= oByTGmr5pC/bFS9ORjyBE/7tnnej7vqdMEbY6YYjIS73h0xJWc3uA9eeFGYF++pyQiaqj0NCmEB= d0BrTFqCK9ILh0AgMAMl27jyeEof3vdm6e796yf05su457ItTFL7/zyyIsDQ8YcZpLGE3rdTld7= t0W/z3e/MdRHvke9ik9yV5S55a9f6tO2BKLmTMGQ4iZKADNMGx5Nt5/p7Y8ebWM+2EYkJoTc2W1= Hlt8Y1NfagAIiEN99TBIsKIodS/R897sAdO1BDECImf/4vTfPaSeuDr00GDYfYSBuugBAoJBuNw= 1G7EWdvzt6HMBAUkbBPrdm98npN4N41Qa7Acp0iQkFEdlqtXt/lRt/U2WEAY4baCKaWgwK69bCS= 8NWffq4gsi1/vRgeefV4NabQb0uKWJCq4Ec2LGkWZ9aU/aW04Fr4NS6gSju55phN2imOa1l485U= ahg3ud/+6ZzbUBxr+jXxdEo4JXzgPmNeffl5n1s5SxKyErfNKFUk6fGSmmnOZN+4yLUzy6cD4QU= RizbZQOX9X6+RWL+wKVZR4jwNwMq8xwAE87yhsL842Tcucv/afWzq9UBsXcjgZmZI9D9YrUyEg9= oZmUUWOQAIGyivqX14/OR+dfCz8muDYvWQZi+0BKeWnplHNBsQE1V+5cKshoqYzzNyn5FM8UUut= XZylXdKsn9M5Fa2t8vHLwTn9Q0bqyOG8DHnTtaKTDF/MPTuYMTvvxcCo6F11hT4PM6sfgLBMAzX= 5190eZJ9Y8pz18/6KoNWaIVm03SOS0oLIIR4aGZ4FOlIVDP2vLq8NXDvNHKjsrQYqkNGur9TQgf= BpJoWxh5QVrZ3qMVeda0usMYSadERyTzKAIjdqtxfV1H09+Ut9V0TSycbnOHrcbNkELMgYaUy7l= 3J6d3+mT3+6AsxC0U5pgHAkCGiRQ46WO6S3v7hkua8VcdEoGdgGLqRGU8YAEGWJavUW5Kaf1RyL= 7xxclJfMLo1bHJz3AyzPY0YdpGC8z63vHvfltZbE0FgNLxz6gKGQlHkKokUVQlPaaxOuURen1u8= /ZDzYp+2oS9sLxGctnHMFCgjUFks7WWDTmXe83lVmBjp/Mzx0smtUs5wfjcM2I6HAhGL0teFQGA= wYjGjp7NnsCvZn5McM9N33zj3zOXu3g2GDddo2axYdVi+EtcUW+DFtbs+uvxwjfPdXy+d6QeAls= bqP1vk+HDkiHjR7itRTxdCTjfteYJISV84TnxXup1DeoRTZys5yX1n56kvd3SHNkdMro335KenG= ey70Kc/xywQsfDPYrfzUwB+AHhqbs3ecldVzp254zq0l8dJbPPrH5Qfv6nNYgF5pEoMCYAp7Pdj= ihnJS25Z24Hiiz3aen/EbGGWJBAn3DUbBMAUQjGFKGMGYha7DSGn7GXVow+Fx6n/qLgyqM8NxsQ= Mgey9o0K4LQt8XKqpuQMKM8vOCt/qoG49azKVgEBEUl5/A6Ul8/tcib3+4e0vxRTlJ4JRj4wynQ= CUFMmdHkV0Hm1bmPLlESu3bNuRGdf89rOawTWZ2jIziAEmWBI4Kxgk9r+GbIs73rCyTZ1aPadg2= pcB1Oi2PLXeWbv78NkfDITtuSZDJkrkusR5i+pARGZxEAh2p49PkVv00uGKawPGipBBc0VaUcx8= R1dZhuWU7BOWaX1mM8yRqghIQjkPVR9O9jRVf+WbBpm1YyEiAYhbdOqUAHUAVIfs6x22n4raeMw= GilP1SEIvIrKLHHSmyqMc/ffWlRq1ZZBbvP2QMxSkp3VBzxm2KM3am3HcDjxO+cpkn3dbfYn69q= 5NszPIAdcBnBihsfQjm5TWbHlpoS5eOcGm5KWc1s2IMcU3OJQs8+4oRSB2OajH45L3NVZ4/0M08= qBDAjOVKlXTwzpvjJjckL3pjFchqixFvS758KQix8lcxHKCZDBJ2U2S7zS68ytIBhKNSQaTAyAp= 5duUuI4XfMROmYarS9T99T7PP3Ztmh3JnF56fnen59rt4PPBmP01wSylMn/y/BAAEXGRIl30eZQ= Djd9/vH9MxNI5Mo+5pZ9dUiLhJ193fFsl4i/bgWCDz7W3eVLJazO3zM1ZGTmu9t5a3BeyVscske= dYmqA4KFrhcbxfV1dzIv3o7H4i3b6SJkrMcCmy7nXKHd5i+kNdhXv/no0tvaDc524O0xTLLdO8L= DF9kS+suWX55rTa0r/uWjVlOM8jOUGwOmQhF3x8GDc/Gy4HMLnKg2KX65Rh2sccKk41SdV9OzY1= 69hUqPQHeIAHeIAH+D/AfwGHvNIQr2XQvwAAAABJRU5ErkJggg=3D=3D" width=3D"55" heig= ht=3D"39" alt=3D"" style=3D"margin-left:-1pt; position:absolute" /><= span><svg font-family=3D"Times New Roman" font-size=3D"16" height=3D"16" ve= rsion=3D"1.1" width=3D"367.95" xmlns=3D"http://www.w3.org/2000/svg" style= =3D"width:367.95px; height:16px; font-family:'Times New Roman'; font-size:1= 6px" xmlns:xlink=3D"http://www.w3.org/1999/xlink"><defs /><g><g><path d=3D"= M367.0399,0 L0,0 L0,0 L0,0.64 L0,0.64 L367.0399,0.64 L367.0399,0.64 L367.03= 99,0 Z" fill=3D"#000000" fill-rule=3D"evenodd" /></g></g></svg><= p class=3D"awdiv"><svg font-family=3D"Times New Roman" font-size=3D"1= 6" height=3D"16" version=3D"1.1" width=3D"367.95" xmlns=3D"http://www.w3.or= g/2000/svg" style=3D"width:367.95px; height:16px; font-family:'Times New Ro= man'; font-size:16px" xmlns:xlink=3D"http://www.w3.org/1999/xlink"><defs />= <g><g><path d=3D"M367.0399,0 L0,0 L0,0 L0,0.64 L0,0.64 L367.0399,0.64 L367.= 0399,0.64 L367.0399,0 Z" fill=3D"#000000" fill-rule=3D"evenodd" /></g></g><= /svg><svg font-family=3D"Times New Roma= n" font-size=3D"16" height=3D"16" version=3D"1.1" width=3D"454.61" xmlns=3D= "http://www.w3.org/2000/svg" style=3D"width:454.61px; height:16px; font-fam= ily:'Times New Roman'; font-size:16px" xmlns:xlink=3D"http://www.w3.org/199= 9/xlink"><defs /><g><g><path d=3D"M454.4,0 L0,0 L0,0 L0,0.639895 L0,0.63989= 5 L454.4,0.639895 L454.4,0.639895 L454.4,0 Z" fill=3D"#000000" fill-rule=3D= "evenodd" /></g></g></svg><svg font-fam= ily=3D"Times New Roman" font-size=3D"16" height=3D"16" version=3D"1.1" widt= h=3D"454.61" xmlns=3D"http://www.w3.org/2000/svg" style=3D"width:454.61px; = height:16px; font-family:'Times New Roman'; font-size:16px" xmlns:xlink=3D"= http://www.w3.org/1999/xlink"><defs /><g><g><path d=3D"M454.4,0 L0,0 L0,0 L= 0,0.64 L0,0.64 L454.4,0.64 L454.4,0.64 L454.4,0 Z" fill=3D"#000000" fill-ru= le=3D"evenodd" /></g></g></svg><img src=3D"data= :image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwI= BwcHBw8LCwkMEQ8SEhEPERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQc= GBw4ICA4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh= 4eHh7/wAARCARhAxkDASIAAhEBAxEB/8QAHAABAQACAwEBAAAAAAAAAAAAAAECCAMGBwQF/8QAW= BABAAEDAwAECAsDBgsGAwkAAAECAwQFBhEHEiExExQXQVFVlNIIFiJUVmFxgZKT0TI3dBWRobGy= syM1NkJSc3WChMHTGCQnM6LDJWJyJkNFRmOjwuHw/8QAGwEBAQEBAQEBAQAAAAAAAAAAAAECAwQ= FBgf/xAA1EQEAAQMCBQMBBgUEAwAAAAAAAQIDEQRSBRMUMZESIUFxMzVRYYHwFSJCodEGIzKxNM= Hh/9oADAMBAAIRAxEAPwDpoD+lPxQANEosoAAECSqSLKAKgAkkJPeE94pIACT3Is9yAABAkqkiy= sBAIkosoKkrHckrHcqACCSEiwACglXmVKvMCEhIIAKAJJAAQsJKLKKSACD9HDteCt8z+1V2y+XC= tde51qo+TT/W/RYmWK5+BjPeyYz3sswANKAAJKpIAAADIAKgAqsZCQPgAlCEqnsYkiNQkosoKMZ= 7e1ap8zGGKpy1TAksuWNTDeQFpjsIgmQWYRqUhJ7wnvAAASUVBRJUnu5QYVT5mE9yzPM8pPc5z7= ukIkwqpgliLKfZ2osLTT1qo9Dk+5KY6sfWy5daacQ5VVe76AHocAAaJRZQAAIElUkhZQBUB9uBp= ebm4OdnY9masbAt03Mi5PZFMVVRTTH2zM931T6Hb+jros17fGi3tV0vO02xZs5E4805FdcVTVFN= NUzHVpmOPlR/S897VWrNM1VziOzrbs13JxTDoU96PY5+DxvD1tof5t3/AKZ/2eN3+ttD/Nu/9N5= f4tpN7t0N/a8cOXreV8H/AHxZpmbWTo2R6KaMiuJn8VEQ6JuzZe59rXONc0jIxrfPEXojr2pnzc= V08xz9XPLva12nvTiiuJlzr0123GaqXX57kWe5HrcAAIElUkVYAESUWU5gWElY7klY7lQAQSQkW= AAUEq8ypV5gQkJBABQBJIACFhJRZRSRaYmqqKYjmZ7kfZgWv/vao+qlJnDMziH02aIt24pjzd7M= HNyGM97JjPeLAA0oAAkqkgAAAMgAqACqxkJA+BJWUSSElJhkiNMZRlLCe/hJnCwkx28oyYzDm3E= iSqSKR3s0pjiFVBOFFGEwMp704BAQCUVEX4GFc89jKZ4hxpVKwhCjnhtAEBaKeZ59COWmOIappz= OSZSUZVMeJdXPD6QHVxABolFlAAAgSVSSFlHPp2HlajqGPgYVmq/k5FyLdq3T31VTPEQ4GxXwZ9= gzh4kby1SzHh8imY0+irvotz2Tc+qau6Pq+15Nfq6dLamue/wAO+msTfuRTD6N57OxdlfB71LTb= c03MqvwNzLvRH/mXJuUc9v8Aox3R/wD3L7fgm/u6zv8Aa1z+6tP3/hDTHkk1iP8AVf3tL8D4Jv7= us7/a1z+6tPy1Vyq5oaqqu81f+n26aIo1VNMfg9T1vVcDRdMvanqeTTjYlmIm5dqiZinmYiO765= h1WOljo9nj/wC02L+Cv3XF0/8A7pNc/wBXb/vaGnTpwzhlGstzVVMxiWdbra7FcU0w3m0Ddm29f= qmjR9bwc2umOardq9E1xHpmnv4+5+nnYuNnYl3GzLFvIx7tM03LdymKqao9ExPe0MxMnIw8q3lY= l65Yv2qoqt3LdXVqpmO6Yluf0S7hvbo6P9L1fJqpqyq7c28iYjjm5RVNMzx5ueOfvcuI8MnR4rp= nMNaTWRqM01R7tcOnfYNGy9ft39Opq/kjP5qsRM8zarj9qiZ9HbEx9U/VMvN23PwktMtZ/RVnXq= rcVXMK7ayLc+emetFM/wDpqlqfpUzTqeLNNm1fmL1HFu9zNFfyo7KuO3ifPw/QcJ1VV/TZq7x7P= l66zFu9iO0vedP6O8Kvoyo29XoVVWu5GlVanGp+Kz1aLvXiqjH8Jx2VdXsmOfNM+d0jb3Rxo2dt= jb+rapum9p97XMivGxrNOnzdiLkXJoiJqiuO/iPNHe9Kubc6b691U6/Tq2k0RExP8n05t6MTiKe= rx4P0T39/f2vl1HY3ShmWtIteKbUsW9J1CvPxrdm7dinwlVybk0zz/m8zMREcdnnfJt6qujMc2P= ec9/r7f9PbVYpn+ifb2dH0Dojrz8/VsHLz9Qt3NPz6sTwuPp/hbVcRETFXWmunie3mae3jsfp6T= 0c7Z0zTd9YW48+u5l6NNiLeXasVT4CiunrU3IoiviqaueJpnu6vf2ubeWsdJG0IzLm5Ns6Jm6fn= Z3jkVXLNV6xavcRT8maa4mn7Kvr4878nae6N+7n3BuTU9I21pesRqduxTqWHctc2OKKerbmIqri= e6mrzz5/q49M16u7RNfrj0+3aY/JyxZomKfT7vjwejrQ6NO0S/rW6b2De1+5VTptu3gzcjq9aIo= ruT1o463NPZ5ut9U8fTp3RRh0xkU63uSvBu29bjR7UWcKbsXblUUzRVz1o4iet9z5r2+Nz7UvWd= C1vbeiXcrSrs3cOnMx+vXhTX8uIommrjiOYmO/js9Ecfi0dIm4PFqbV+nEya41mjWartyietXfp= iOIniYjqdndERPomHoijX1xmmr2+sf2/RxmrTU94di3H0V4Gn2cy5p25pz69O1CxhZ1m5gzamib= tVMRMT1pir9qP1fqal0c0a/u/WsOa68K1pVy3i0fyZpEeBqiaIq5nm5z1uZ7eZqn6+50zL6SNcy= KtXm5i6fH8rZtnMv8AFuv5NdqYmmKfldkT1Y555+52La28d87o1DW7OnbY0fXIzr1Gbk4l6zM27= VcUxRFVPNcT3RHfM/c5XLeuop9VVXb5zHzhuivTVTiI7uldI21ruzt15GhXcujL8FTRXRepo6nW= pqjmPk8zxP3y69Hc7V0sZu4s/eV+/ujTLGnal4K3TVYsxxTTTFPyZ/aq831v1dS6JN1afs+rdF+= 5p04NONTkzFN6qa+pVETHZ1e/tjzvqWtTTRao51UZn+7x12Zqrq9Ee0OgAPY86SEuy9H+ydY3vn= 5OFo1eLTdx7UXa/D3Jpjjnjs4iWLl2i1TNVc4iG6KKq5imnu60P2d6ba1HaWv3dF1WbE5Nqimqq= bNc1U8VRzHbMR6X4zVFdNymKqZzEs1UzTOJEq8ypV5m0QkJBABQBJIACFhJRZRRnZom7ciiPv8A= sfqUxFNMUx2RHY4cK14O11pj5VTnYqlyqnMgDLIxnvZMZ7xYAGlAAElUkAAABkAFQAVWMhJIfCS= IqSsAIglUsOGVU9qcszLpEIKkwipwcKSQSACZABUnvRZ70CA4AVEmGTGqeIQYVT2sPOySYYlqEA= RUAjtngwZZW457XIkRxHBzx3ukRhMkosoqPoAdXAAGiUWUAACBJV9eiaXm61q+LpWnWpu5WTci3= bpj0z559ER2zM+aIZqqimJqntDURMziHcOhLYte9N00+M0VRpOFMXMuru6/+jbifTV/VE/U2+tW= rdm1TatUxRboiKaaaY4imI7oh1/o72rh7P2xjaNh/Kmj5d+757tyf2qv+UeiIiHYrlNU0TFM8Tx= 2TL8NxHWzqr2fiOz9NpNPFi3j5+XgXwot60xTRsvAuc1VdW9n1R5o76Lf/wDKf93637/wTv3dZ/= 8Ata5/dWnUel3oks6Lt/Vt3X9w5efmeEi7cpuWaaYrqrriJ7Yns/adu+Cb+7rP/wBrXP7q09t+b= P8ADoi1Off3+rzWuZ1ea/wdl6f/AN0euf8A0W/72hpy3F6f/wB0muR/8lv+9oadPof6f+xq+ryc= V+0j6Daj4LMV+TOvr89X+ULvU+zq0f8APlq/p+Hl6jm2sLAx7uTk3qurbtW6Zqqqn7Ibo9Fm3Lm= 1th6Zo1+KPGLVua780zzHhKqpqq7fPxM8c/Ucfu08mKPnJwqieZNXw+bpr6kdFm4ev3eKTx9vMc= f08NN9I/xrh/6+j+1Da34Smq2sDoszMeqvi7nXbdi3T56vlRXP9FMtUtI/xrh/6+j+1DHA6ZjTV= z++zXEpib9MN1OkvW8vbexdT1vAptV5OLaiq3F2JmiZmqI7YiY9PpeCYPwhN228u3XmabpF/Hiq= PCUUW66Kpjz8VdaeJ+viXtHTt+6XX4//AEKf7dLTXlw4No7OotVTcpz7uuv1Fy1ciKJbx41ek73= 2Xbu1Wqb+nariczRVxPEVR2xPoqpn+aYeC9COl720ncm6tJ2xe0SL+Feox8urUKbkxV1a7kUzR1= Psq7/qeudAGNkYnRHodvJoqorqouXaaZ/0a7tdVM/fExP3ut9C1dFzpV6SKqOOPHqI++K70T/S8= NqqbVF63T7xH+Xprp9dVuqe/wD8eI9MFjX73SZnY+s04l/V7k2aaqcCmubdUzbp6sUxV288cfe7= BonQPvjUcSnIvzpunTV3Wsm9V1+PTMUU1RH8/L0fRNLx874UOu5d+iK5wMK3dtRPmrm3bpif5pq= fJ8InpF3HtjXMLRNAyacPrY0ZF69FumqqrmqqIpjrRMRHyZ83n/n+nTrtRXy9PYxE4h4p01qn1X= bucZdSn4PG8PWuh/m3f+mw6GdG3noe/twaNt6/ok5+Ha8Fk15nhJtVRFcfsdWOe/08PSfg37p17= dOjatf13UK825YyKKLc1UU09WJp54+TEPzeiT9/e/Ptq/vIcLur1E03bV6Yn0x+H5w60WLUTRXb= zGXQt3bN3fvbpfztH1HK0W3q9vBoyLldqblNiaIiiIiOYmrn5Uebh7zuHbObqPRZc2pZvY9OZVp= 1vFi5XM+D61NNMTPMRzx2eh4T066/rG3OmnUM/RM65hZNWHZtTXRETM0zTTMx2x6Yj+Z7VurV9S= xOhS5rePmXLeoxpVq9F+IiauvNNMzV6O+ZcdVzposTGMe2Pq3Y9EVXInv8tcd49GGubW1nRtLz8= 3Trt7V73gbFVmuuaaautTTzVzTHZzVHdy7THweN4T/+LaH+bd/6bote4t57x3BpVq5n5Oo6nZvx= 4hHVp5ormYnmOIjz0xPb2dj3HE2f0212KK8jf+HYuT30RHW6v1c+DfT1Wo1Onppiq5TE/P7w8di= 1ZuzMxRMw803J0Gb20fTq8614hqdNuOa7eJdqm5EeeYiqmOfsjmfqfvfBE/ys1r+Bp/tw9v6PdO= 3XpmlXsXdusY2rZHhetZvWqJpmKOI+TV2R5+f53mvQvYtY3TnvqxZoii3TVc4pjujm7y8FXELmo= 0923cmJx8x9XqjS0WrtFdPtl5v8Jj97Wd/D2P7EPNHpfwmP3s538PY/sQ80foeG/wDi2/o+Vq/t= qvqJV5lSrzPc86EhIIAKAJJAAQsJLmwrPhLvWq/Zp73DxM1RER2y/Ux7cWrUU+fzkzhmqcOSUWU= c3IAAYz3smM94sADSgACSqSAAAAyACoAKrGSe4knuRWKopCQMap4VjPektQhMAy2ncvIiC8dqSp= KiAAAIMZ7xZ70FiQAUcVc81M654jhxyzKgDOCEk4UGssWVuOO1IjmeHJDVMM1SANJCTCLKA+gB1= cQAaJRZQAAIGy/wbtgxo+lRunVLURqGbb/7tTVzzasz5+PTV3/Zx6Za36bk04efYy6sazkxariv= wN6Jmivjt4q4mJmPveqf9oHedNMU0adoNMRHZxj3ez/9x8rilrU36OXZj2nu92juWrVXruNit36= 7iba25m61mz/gsW1NXHnrq7qaY+uZ4j72ts9Pe+pqmYp0uI57I8WmeP8A1PwukDpQ3JvXTLOm6p= Rg2Ma1d8L1cW3XR16oiYjrc1TzEcy6O8/D+D00UTOopiZddVxCqur/AGpxDv8Au3pc3ZubQcjRd= SjA8VyOr1/B2Jpq7KoqjiefTEPYPgm/u7z/APatz+6stYHfOjzpS1/ZGi3dK0rD02/Zu5FWRVVk= W65q600008fJqiOOKY8ztr+HxVp+Xp6Yj3y56XVYveu7Pw251XTsHVcC7gali2srFu8eEtXaYqp= q4nmOY+2Idfjo62LHExtTSPvxqXhX/aF3l6r0L8m7/wBRJ+ELvH1ZoX5N3/qPiUcJ11PtT7fq+l= Vr9NV3/wCmxmj7f0LR5qnStIwcGqqOKqrFimiZj0TMQ+nU8/D0zAu5ufk2sbGs09a5cu1RFNMfa= 1e1Hp731lWposRpWFP+lYxpmr/11VR/Q6JubdW4ty3Yua5q+Vm9Xtporq4opn6qY4iP5nW3wLUX= Ks3Zx/dividqmP5Idn6cN/fHbcNNOF16dJweaMaKo4m5M/tXJ+3iOI80fXMujaR/jXD/ANfR/ah= 889yUzNNUTTMxMTzEv01rT02bXKo7PjV3ZuXPXU3t3TomHuPQMrRc+q5GLlURTcm1VxVxExPZPb= 6Hn2J0DbEsZNu7XGpZFNE8zbuZPyavqniIn+lrHGu63651H2mv9Sdd1uY4nWNQ4/ia/wBXw7fBt= TaiaaLuIn6vpVcQs1zmqjLb/pF3pomw9uVVVXLEZFNnweFhUTHWrmI4piI81MdnM+aPuh5f8EnI= u5Oqbqyci5VcvXfF67ldU9tVUzdmZn75eBXbly7XNy7cruVz31VTzLlw87NwpqnDzMjH6/HW8Fd= mjnju547/ADvRRwaKNPVbir+ar5c6tfM3YrmPaPh7vqu7MXaPwmdTzNQueDwcqzaxr9fHMURVbt= zFX3TTHP1TLvnST0caH0kU4eqWtUnHyLdrqWsnH6t23ctzPMcxz2988TE+fztWtAxLu491abp2X= mXfCZ+Vax6r9czXVT1qop57Z7eOe76nvWJ0A3sSmacTfWfj0z5reP1f6rjx6yxb0tVExc9NcR+D= vp7tV6mqPRmmZd66Jdg29g6fm4lvU69Q8bu03Jqqs+D6vEcccczy6Z0Sfv6359tX95DuWz9Dwuj= XbOdd1jct/Ntzcm9cycuvq9WIp4iimJmfRPd2zMtUtzbiydR3dq2t6ffycOM7KuXaYouTTV1Jqm= aYnifRw4aPT16uq7HqzmO/6uuou02Io9u3w7d8Jqf/ABZzf4ez/Yh77oWPg726GcLTreX1LWbpd= vHruW+KptVxTETHHpiqO76mnWVkZGVem9k37t+5PfXcrmqr+eXLhZ2dhRPieZkY/Pf4K7VTz/NL= 69/hdVyxboirFVLwWtbFFyqqY9qntej7PwuiXpT21k6rrlrLx87w9vw04/gqbNXU6tMz8qrvmqI= 57OHq/SVtHWt114VzRt45uhU2KaorpsRM03eeOJnq1U9scT6e/wA3n09zc7NzerOZmZGTNHPV8L= cmvjn0cy5cfV9Wx7cWrGp5tq3T3U0ZFVMR90S5XuF3rlVNya/5o/JujW26ImmKfafzbj9Ge1tX2= thZljV9z5OvV37kV27l+Kom3ERxxHWqqdB6If39b8/+qv8AvYa8TruueudR9qr/AFcFnUdQsZFz= Is5+VbvXf/MuUXqoqq+2YnmWKODXMV+quM1R+DVXEKc04p7PQvhMfvazv4ex/Yh5o5MnJyMq9N7= Kv3b92Y4mu5XNVU/fLjfa0tmbFmm3M5w+deucy5NX4iVeZUq8z0OaEhIIAKAJJADK1RNy5FEech= X0YFrmrwtUdkdz7UopimmKYjiIZMTOXGZzKSiyiIAAMZ72TGe8WABpQABJVJAAAAZABUASVVCQk= VioiJCVSxWe1GZagFRFyEKiqEgggvCSNZABMJPeiygAJVJKsKu2eUZJLm2nCKAgcLTHM/UBTHHa= yU4dGEAFhJRZQR9ADo5AA0SiygAAQJKpJCygCoAEkJPeE94EiKAk9yLPcgAAQJPcqSKytV127lN= y3XVRXTMTTVTPExMeeJfb/LOr+tc72iv9XwwMzRTV3giqY7ObMzMvLmmcrKv3+r3eFuTVx/O+dZ= RYpiOyzMz3SVjuSVjuaZAEEkJFgkAUEq8ypV5gQkJBABQBJIR+hhWupb69UfKq/oh8uJa8Ld7f2= Y7ZfpMzLFU/CgMsJKLKAAAMZ72TGe8WABpQABJVJAAAAZABUEmFFViSSSCMap8ysZ70lYQBGl8y= LPciILxKMlViMphEVAAJRU4RYE4UBjPYwZ1T5mPDMtQgJwirwxXkMCM6Y4hKI5llMLTBKcqxOWm= MrKEgpKcKCOYc3imX82ufhk8Uy/m9z8Ms9Ra3R5OTc2y4RzeKZXze5+E8Uyvm9z8J1FrdHlrk3N= suGUc84mV82ufhTxPK+bXPwnUWt0eU5NzbLhHN4nlfNrn4TxPK+bXPwnUWt0eVizc2y4Ulz+J5X= za5+FJw8v5td/CRqLW6PK8m5tlwDn8Ty/m1z8MniWX82u/hleotbo8pybm1wDn8Ty/m138MnieX= 83u/hlOotbo8kWbm2Xzz3jmnCy/m138MnieX82u/hleotbo8nJubZcI5vE8v5td/DJ4nl/Nrv4Z= Ootbo8nJubXBPcjnnDy/m138MniWX82u/gk6i1ujycm5tlwDn8Syvm138EniWX82u/gk6i1ujyR= ZubXAkvo8Syvm138EpOFl/Nrv4JOotbo8rybm1wwOfxLK+bXfwSeJZXza7+CTqLW6PKcm5tl88o= +icLL+bXfwSeJZfza7+CTqLW6PK8m5tfNKx3ObxLL+a3fwSsYWX82u/gleptbo8pybm1wD6PEsv= 5td/BKeJZfza7+GU6m1ujycm5tl88jnnCzPm178EniWZ81vfglY1NrdHlZs3NsuAc/iWX82vfhk= 8Sy/m178Er1FndHlOTc2y4EnzPo8Sy/m178Ek4OZ82vfgk6izujycm5tl8w+jxHM+bXvwSTg5nz= a9+CTqLW6PJybm2XzD6PEcz5re/BKeI5nzW9+CTqLO6PK8m5tl869szxEczL9vTNobq1PG8Z07b= uqZdjrTT4S1jV1U8x3xzEP0sLo+3rFc117U1mOO7nDr/RidXYj+uPJybmP+Mvxce1Fq3FPn88uV= 2H4i70+iuseyV/ovxE3p9FtY9kr/AEY6uxvjy5ci7tl10di+Iu9PotrHslf6HxE3p9FtY9kr/RO= rsb48nIu7ZdclHY52JvT6Lax7JX+ifETen0V1j2Sv9Dq7G+PJyLu2XXR2L4ib0+iuseyV/ofETe= n0V1j2Sv8AQ6uxvjyci5tl11j53ZfiJvT6K6z7JX+jH4h71+ius+yV/odXY3x5WLFzbLrg7H8RN= 6/RXWfZK/0PiJvX6K6z7JX+jXV2N8eV5FzbLrg7H8RN6/RXWfZK/wBD4ib1+ius+yV/onV2N8eT= kXNsuuI7J8RN6/RXWfZK/wBE+Ie9forrPslf6L1djfHk5FzbLrg7H8Q96/RXWfY6/wBD4h71+iu= s+x1/onV2N8eTkXNsuuJy7J8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHk5FzbLrg7H8Q96/RXWfY= 6/0PiHvX6K6z7HX+h1djfHlORc2y64Ox/EPev0V1n2Ov8AQ+Ie9forrPslf6L1djfHk5FzbLrQ7= J8Q96/RXWfY6/0Sdh71+ius+yV/onV2N8eWuRc2y61PenDsnxD3r9FdY9kr/Q+Ie9forrHslf6H= V2N8eTkXNsutTHZ2I7N8Qt6fRXWPZK/0Sdh71+iuseyV/odVY3x5Xk3Nsut98I7J8Q96/RXWfZK= /0T4hb1+ius+yV/odVY3x5OTc2y64yh2H4hb1+ius+yV/ofEPev0V1j2Sv9DqrG+PJybm2XXkl2= P4ib0+iuseyV/oTsTen0V1j2Sv9DqrG+PJybm2XWx2P4h70+ius+yV/ofEPekf/lbWPZK/0Oqs7= 48rybm2XXB2L4ib0+i2seyV/ofETen0V1j2Sv8AROqs748rFq5tl1ye9JniHZJ2JvT6K6x7JX+j= jq2PvLnj4r6v7JX+h1VndHleTc2y66OwfEfeP0Y1f2Sv9D4j7x+jGr+yV/ox1FrdHleTc2y6+xd= i+JG8foxq/slf6J8R94/RjV/ZK/0Ootbo8nKubXXk4dh+JG8foxq/slf6M6NibzqjrRtbV5j+Er= /Q6i1ujycq5tl1+I4jgl2P4ib0+i2seyV/ok7E3p9FtY9kr/RrqbO6PJyrm2XW+xOHZPiJvX6K6= x7JX+h8RN6fRXWPZK/0XqbO6PKcm5tl1yCYdj+Im9PorrHslf6HxE3p9FtY9kr/AEOps7o8nJub= ZdbHY6tib0+iuseyV/onxF3p9FdY9kr/AEOps7o8pybm2X6PAD8C/WgAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAD79v6Vla5rWLpOHTzfybkUUzPdTHnqn6ojmZ+x8D3n4P20/ENKr3Hm25jJ= zKerjxPfTa/wBL7ap/oiPSg9G25pGJoeiYulYVHVs49EUx6ap89U/XM8z979EiOBAAAAAAAAAAA= AAAAAAAAAAAAAAcVc8yzrniOzvcYJwjIBiLwgJMCgIkxyvADHjhO9mkwDHhGRwDDgZcJPcDivVd= SjmO/wAz4/O5r1XXrmfNHZDjmBWExDGaWcwA4+IThyTDGY4US3RNdcUx53300xTEUxHEQ48S31a= etMdsudFYpLLhBEJXhBMJwjJOBUlOIZSgNRAGkAAAAAADl+1tbFx9Qp1PT68eLmVcw6rmHVH7VN= y3MVzEfbRFcfbw7PG29OqysKIxaJtaPdm1rU01TPhOra8NVM+jmabtv/dp88g8+OXctH0zS8/B0= 3WrmNTRj4l3I/lK1RMxE00R4W3H1daJ8H/ux5zWNP0rS8bUNWoxaLuPlZdidNtXJnjwVVMXq/t4= iaKJ+2QdNHoVe2NPs39QsXMejjVbtVGi1TVPyafBeGpmPTz17VH31eh1nc2HaxKMLDx8Oqi9i4V= urOucT23bny+30cRVRT9sA/Dct+xXZtWrlVdqqLtPWpii7TVMRzMcVRE80z2d08T53bNcr0jQ8q= NCo23j5seL26qsu7cuReu1V24q69E01dWKYmeyOrPZHa59O0HTM7L2xau0UWreRpt7JyO2qJvVW= 670xE9WJntiimPkxzx3RyDo47nuCjbuVoGVkY06RayseqjwP8m2sziqJniabk3aer3czE8xPZL9= CbG36922tq29vYtFrJot0VZc3Lk3qLldqKutT8rqxETPdxPPH1oPPHLTYrnFqyYrtdSmuKJpm5T= FfMxM9lPPMx2d/HDsmLGnaNtfT9Tu6NjapkZ927FVWVNfg7NNuYp6sRRVHyp55mZn0cQ4rmLh5e= 2NSzsbTYxrs6pYt2bfXmubdFVFyepEz2zHMR39vZCjrZ//ALveh5ek6VXpuqadXjaFZzcDDru8Y= d3IuZFuu3x1uvXMTant5iY5757H5moXNK0W7i6RG2cbUPCY1m5cyrly5F6/NyiKubU01RTTETV1= Y7J/Z7fOg/A1XSbun6jn4dV6xXOFX1a6puRTNfbx8mmZ5n7I5fnO77ixMa/rO9712x1rmNMVWZr= j5VEzfopn7+JmHz6jc0rRqsTSPi1j5/hcazcuZNdy7F69NyiKubUxPFMRNXEfJnu7QdVosV141z= Iiq1FFuaYmJuUxVPPPdTM8zHZ2zEdjG7buWa+pdt126+Inq1RxPExzH88TEu5a1p+nadc3Jes6f= aqjT9VsUWbV6KpiKObnNE8TzxPViJ7eezvfRr1yjWt5YuJRomk26LOLZyL1XhLlqmq3GNRXPhKp= qniimO7jieI75lR0S1T4S7TbieOtVFPP2vs3Bptej65naXcu03q8W/VamumniKppnjnh2jcmHpd= zRcPVcG3pVF2jUIxq503w8WqomnrcT4aP2o476eztfl9I1q7O+NfvRbrm1TqF2ma+rPViZqniOf= T2T/Mg66cw7xqEaNo+uWNufFrHz7dUWabmTcruRfvTcppnrUTTVFMR8rsjie6OUu4Gk7ewtduXt= Ox9WvYOrxh49V+qqKOrxc5mqKZjn9mOznv+xR0gdy1W5pOheJafO3MTUJycW1k3ci7cuxXXN2mK= uLXVqiKYp56sTxPbHa/I3zh42n7sz8PDsVY9i1XEUW6u+mOrE8T9YPxAAAAAAAIiapiKYmap7oj= zg7P0Z7Xubq3RZwqomMO1/hcqvjuoif2ftqns/p8zaaxat2LVFq1RTRbopimimmOIpiO6Ih1Dom= 2rG19sW7d+iIz8ri7lT54njso/3Y/pmXcmQAAAAAAAAAAAAAAAAAAAAAAAAJEq5nsBhM8zyizCA= nHApwCBMAJMIyAYizCAgpwCJwoDFxX6urTxHfLmmYiOZfLXM1VTIsOLhJhnwgrCYSYZzCcA42Vq= jr1xHm86zD6LNHVo+ue2RJZ+bgAQAFSYRkTAMeEZIIgvCA1CAaAAAAAAH06ZnZemahY1DBvTZyb= FcV264iJ4n7J7J+9z2Na1Wzb1C3azblNOpRxlxxE+Fjnrdv3893pmPPL88B9mJqediadmafj5E2= 8bNiiMi31Ynr9Weae3jmOJ57jN1PPzcHCwsrIm5j4VNVGPRMRHUiqeZjsjme30vjAfoX9b1a9Vp= 1VzNuVTptNNOHzEf4KInrRx6e30+iI7ohlk65q2RVqU3s2uqNTqivMjiIi7MVdaOeI7OJ9HH8z8= 0B+zjbp3Bj4EYVnUq6bVNE26Jmimblumf82muY61Mds9kTD469W1KqcGrxuumrAo6mLVRxTVajr= TV2THE99Uzz39r4gH6usbh1nVrMWc7M69qKuvNFFui3FVX+lVFMR1qvrnmXDTrGpU6zb1inJ4zr= c0zRd6lPZNMRTT2ccd0R5nwAP09H1/V9Js12MHL6lmuetVauW6blHW7ut1a4mIn64jlx5WsanlW= si1k5ly9Tk36ci9NfE1V3KYmIq63fHEVT2cvgAfuZO7dw5Niuxe1GaqLlubd3i1RE3aZiYnrzFP= Nc8T31czHmYYO6NfwsGjDxtRqptW4mLczbpqrtR6KK5iaqP92YfjAPvv6zqd+5n3LuT1q9Q48am= aKf8ACcVRVHm7O2Ins4dq0TOro0nEt0b6x8TGooiK7d7EqnJx/wDSptVRRVMR38cVU/ZHa6MA/Y= 1/XcjUNQ1auxVVbxNQy/GJtVUxM9k1dTme/mIqnuSNya3FWDXTm9W5gUdTHri3RFVNPHV6s1cc1= Rx2cVcxx2PyAH6up7h1jUrUWszLiu1Tcpu026bVFFFFVPPE000xER+1PZHf5+XHn65q2dby7eVm= VXKMzJjKv09WmIruxEx1uIjs757uIfnAP2sPde4cTDpxMfUq6bdFPUt1TbpquW6fRRXMdamPqiY= fmxnZcadc0+Lv/drl2m9XRxHbXETETz391U9j5wHd9v51y3o+Nas73xcKxRH+Es5OJVVex557fA= zFFX2xxVT2+h1zdmpWtY3JnalYpuU2b92arcXP2urxERz9fEdr8sAAAAAAAel9A2051fXp1vMtz= 4np9UTb5jsuXu+I/wB3v+3h5/o+n5WrapjabhW5uZGRciiiIj0+efqjvmfREtr9paJjbd0HE0nE= j5Fijiqvjia6v86qftlJH60RxACAAAAAAAAAAAAAAAAAAAAAAAABLGFn0AITCgjCYRmkwKxOFns= QEFJgESYUBOEZJwCJwqVTERMyDhvzPHVj73C5J5meZ70mIkWGEpMMpiUFY8Jwz4SY8wFmjrV8z3= Q+hLdPVpiPP52QyicLMAMRknAIAAnCgqIyOAa3+TPfHqK5+db948me+PUVz8637zaAXKNX/Jnvj= 1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/ACZ749RXPzrfvHkz= 3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQ= Bkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav8Akz3x6i= ufnW/ePJnvj1Fc/Ot+82gDI1f8me+PUVz8637x5M98eorn51v3m0AZGr/kz3x6iufnW/ePJnvj1= Fc/Ot+82gDI1f8AJnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAy= NX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/O= t+8eTPfHqK5+db95tAGRq/wCTPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iu= fnW/ebQBkav+TPfHqK5+db948me9/UVz8637zaAMjyroT2Hl6FdydY1zGiznTzax7c1RVNFP8An= VdnZzPd9kT6XqpxHogQAAAAAAAAAAAAAAAAAAAAAAAAAAEmFBEADIAGE4SYZAZYIzmEmBWKcMkB= BU4AcN6fldWO5yV1cRy4e8GKTDLhBWKTHLNOAYcSzs08zz6CI5nhzU08RxAJwKCMTheAGIpwDHh= JZAMRZhAAAfoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAgpwJ7oEwAAAnDGYZgMEZTDC52QK4655q+qGEwzlAYDKYSYBjMehGREczwC2qe3nj7HIc= cAInDIBiLwnAJwjIBicLwgIKkwCcHCgPuAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOAEwkwKSCAgo4qp608s657OHHwJhJSWRwKx4RlwnAMeGV= uniOfSRHayAOABBU4AABJhGQDEXhASUZJMAnBwqA+0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJ445VjX2iYYTzyjJOBWPBwoDEmF4POBT= CgCcIyAYi8IAnCgIKnACKAnCMkQQ4ZU0zVVEQ5vB0ehRmAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABMseFnvBGMwkwzSYDLBJhnMJwKxWIA= E4FAQJAE4UBOEZJwCC8IBwigIkspgopmqrjzA5LNPEcz3y5OfqAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJVJAAAAEwJMKAxmE4ZpwKwFm= AEOABOOBTgEAASYUBiMkmARzW6eI+1x245q+qHNAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgnHCn3ggqcCgAAAgnCgMOEZpMCsRZhAC= YAEFSYABlbjmeQZ0xxCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAJg4SVAQAXIAGAATCJMMgMsOEZ8JMCsRZQDjlyUxxHEJRHnZA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAACJMCgIHCCqAAAInCcdrIgFAFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAO04ARBUDIAKR2qQAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAHHaAmAAUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAmU5fkbu3Hpe19LjU9YvV2cTwlNublNE19WZ7uYjt4YbZ3PoW5sa5f0LU7ObTa4i5FHM= VUc88cxMRMd09/oa5dfp9WPZiblMVenPu/a5OWq1vpe3roOu5+PGfb1DGt5VyKbWXR1uIiueyKo= 4q7vrbI7M1ivX9radrNePGPVmY9N2bcVdaKZnzc+d6dVobumiKqu0vNptbb1EzTT3h+z5uSJ5dO= 6Yd31bI2Hm63Zooryommzi0V/szdqniOfTERzPHn4eDbL0bpw6QdMr3HibvvYWLeuTFqq/m3LNN= 3iZiZoot0zEUxMTHdH1PI9jarkeG5WD0j7J6MLtOq9IGlYesXdXpqt6hm3671qLE2uPBc3LVUxV= NVMzx1fv8z07B3Fp+kbJ0nVNzbg06nwuHZm7m1XIotZFybcTNVHMRzFU8zEREdnmgHZB1XTekXY= +pVZFOBuXAyJxsevJvRRXM9S1RHNVc9ndEPmp6VejqqqKY3fpfMzx23Jj/kDuY+LK1fS8XSf5Wy= dRxLWn+Di541Xdpi11Z7qutzxxPMPwNN6SNi6nqFjTsDc+n5GXfri3atUVzM11T3RHYDtg8p6LN= 1alas7l1DeG/ND1jBwq7c0V4nERiUzVXExc4tUds/Jj/O7pdlsdKXR5evUWqN36V1q54jrXurH8= 89kA7iJTVTXTFVMxVTMcxMd0qAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADy/wCE5+7G5/F2v+bqXwR+7c3/AA3/ALrtvwnP3Y3= P4u1/XLqXwRv2dzf8L/7r7Vr7sq+v+HxLv3jT9Hie5P8AKHUv4u7/AG5be9EP7sdv/wADR/U1C3= J/lFqX8Xd/ty296If3Zbf/AIGj+p6uNfYW/wB/Dz8H+3ufv5dD+GBjX7/Rfi3bVM1UY+qWrl3jz= UzbuUxP4qoj73Yvg46jg53RFotvEv267mLbqs37dNUTVbriursqjzc9/wBku5bm0TT9x6Fl6Lqt= iL2Hl25ouU88THniYnzTE8TE+mHgWb8GOvxu7Vp28PB48zzRTew5muI9EzFcRP28R9kPzb9G7V8= MCf8Awtxv9q2v7u68d6UMvJzNf2Fpl/TsnVMTH29p82sC1VVE5M1URNUR1YmeZ4insjn5L1ijoL= yqejC9s6rc1mq7c1enUIyZxZ4iItdTqdXrffzz9z9je3Q1i7k0Lb1q1rN7Tta0TBs4lrOtW+Yrp= txHHNPWiY7YmYmKuznzivP9sY2NOi7xrp6KMzaVdvbGfNObeuZExXPUiPB/4SIjmYmZ9PyX42wd= ibY1b4PmvbozdPmvV8SMmbORF2uJp6lFM09kTxPb9T1HQeineGLa1bH1jpFzNWxtQ0vJwabN6m5= VTRVdo6sXOJrmJ47X6u0+jK/oXRJquxatYt37mfF+IyosTTFHhKYj9nrdvHHpEa769m5eR0NbD0= i7l3KMK/qGb4Tmrsjq3KIp/m8JXx9rZTbnQ/sHRM7C1LT9GqpzMOqm5avVZFyqrrR3VTHW45+51= 6joP0/J6LsTZ+p6rNzKwsi7kY2fZs9WaJrntiaJmeae7mOY7o7YfPszoh3hoGv6Zm3ekjPzMDCv= UVThzF2mi5RT/mcTcmIjj6uAeadE2p6JpG0OkrL3Fg1ahp/hseivFprmnw1U3LvVp5ieYjrcdvo= j7nXN3VafnbOu52n9EWZodiuKLlrVqb+RctUUzVEd9VPVmKu7v75h7hoHQZbxNu7o0XUtc8Yt65= ctXbdyzj9SrHrt1VVUzxNU9btqj0d0+l+Fe6BN23dH/kW50l5NemRTFEYlVi5NrqxMTEdXwnHET= EcfYD0noAy8jN6H9u5GVdqu3IxqrfWq7+rRcqopj7qaYj7ne3XOjPbde0Nkadty5l05dWFTXTN6= mjqRX1q6qu7meP2uHYwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAeX/Cc/djc/i7X9cupfBH/AGdzf8L/AO67b8Jz92Nz+Ltf1y= 6l8Ef9nc3/AA3/ALr7Vr7sq+v+HxL33lT9Hie5P8otS/i7v9uW3vRD+7Hb/wDA0f1NQtyf5Q6l/= F3f7ctvOiGf/DHb38DR/U9XGvsLf7+Hn4P9vc/fy7NnV1W8DIuUTxVTaqmJ9ExDVLYm6OnPe3js= 7d12rIjCqoi914x7fV6/W6v7VMc/sy2r1P8AxZlf6mv+zLX34Fn/AJW7P9Zi/wBV5+bfo4fNsTp= R37t3pKs7Q6RqvC05N2ixVNy3RFdmqv8AYrpqojiqiZmOe/7uJeoba1nduT0raxpeoZej16FZor= nFtWL9qrJpmJp469EVdaI7Z74jzPFfhN128zp10jGwZivJoxsWzXFM9sXJvVzEfbxVT/PD7sXUc= nSOnLpL1PDq6uTi6TmXbVXHPFcRb4nj6pBsVnbk2/p+TVjZ+u6Xi3qe+3ey6KKo+2Jnl1rpG3Rm= fE69n7G1nQr+ZayLdFV29mWvA0xPPMTVNUUxPojl4r0KdFW3977JzN0biy9QyM25lXojwd+Kf2Y= ieapmJmapmZnnn0OmaHER8H/c9Md0a3iR/wCmoHs/TdvzXdv9F+3snA17Dxdx5FePVmU4tdq51q= arNc11Ux2xNE1xHFUdnd2vS9qbq0jM2liajka7p1ybWJYqzbvjNHFquumP25ieKZmrmO3jta9dN= +29Lt9C+yN1027n8qXMPAwaq+vPV8F4tXXx1e7nmO93bL2z0d7G6FcnM1TEzq8PW8bCqy7Nq/M3= L92ni5RTRM9lPbNUz9UT9gPXMfde2Mm/RYxtxaReu1zxTRRmW6qqp9ERE9rzLpX3duLSOmnZ+ha= bqdzH03Pmz4zYiimYuda9NM8zMcx2dnZLwLeU7Mu7fjJ27s3cek3+vTVby8nIm5Zqp9Hd5+Y4mJ= 9DvWtZuVqO/uh/Nzb1V/Iu4GFNy5VPNVc+GmOZnzzPpBtTAQAAAAAAAD8PfG4MbbW28rVL/wAqq= inq2aP9O5P7Mf8AOfqiXgHlU33zP/xqI+rxWz7gNmxrJ5VN9+u49ks+4eVTffruPZLPuLgbNjWT= yqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8q= m+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZs= ayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPu= HlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hg= bNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7J= Z9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWf= cMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffru= PZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2= Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb7= 9dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/X= ceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeV= TffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3= 367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjW= Tyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNgIAAAAPL/hOfuxuf= xdr+uXSfgp52FiVbioyszHsVXZxvBxduxTNXHheeOe/vh7zq+mafq2L4pqeFj5mP1oqm3eoiqnm= O6eJfkVbE2ZMdu19In/AISj9Hvt6ymnTTYmO85y+dd0lVWpi9E9vhrruLok31d1LNzsTSrWXYu3= 7lymbWVb5mmapmOyZh6F0e9It3auiYW3t57c1TR7WHbps282rHrm3VEeers7Pu5ek2NlbYxuZw9= IsYcz3zi1VWZ/nomJc8bdtW4mnG1LU7duqOKrdzInIoqj0cXet2fZw6XuIc+iKLsZiP0Ys6CbNc= 125xMvtsZeJrGj13tOy7GTZv2qot3bdcVUzzHHfDWvTPg/9JGmzd/k3dmmYXhJia/F8zIt9bjnj= nq0RzxzP873jE2dj6ZkXM3Rb9Om5NUzM02LfVsXezs8Ja56sz/81PVn63Z8abk2om7TTTc4+VFM= 8xz9T51WM+z6VE1Y93h3RZ0E39A3RZ3LurWLWpZuPc8LZs2Yqqo8J5q6q6+2qY74jiO2Inme5+3= onRdnWeljc259Uv4ORpGtY17H8Woqr8L1bnU5ir5MRHZTPdPnetJMcstNVq9nZ+1bmda2X0y6Bj= aZc5uV2bupRbrniJ7Jpp60TPHZzHHPofN0PbM1Pe/Q9uLR9Ov41i7d1excpu5E1RRPUo5qj5MTP= Pyo8z2SvoG6Na7lVyrRsiaqp5n/AL7e7/xO97b0DSNt6Ta0nRMG1hYdrnq26OZ5nzzMz2zP1zMy= K6HvXozydzdD2jbNuZ9jH1DS7ONNF6Imq1VdtWptzE9kT1Ziqrt457ux1ux0R7y1Xo+z9r7t3Vj= ZUW6sevSK7XWuU4824rpmmrmmmZiYqpjvmY4+rt7rujU83P3nZ0rCuX7GNptrwmfNNVdEVTdpmL= cxNMTz1erNXFUxEzMejs65rd/eutZ1i9GHrODHgZt0049FVvwXhOrz1p5+XVT16O2eI5t3PNPLt= RYmr5eeq/jtDquq9EfTBqm3adu5+9tIyNLt00UU49ddziIo46kcxa57OI879+50Sa/Xruws/wAf= 0zwe3MbHs5Udevm5Nu5NUzR8ntjifPw7Bcyt5YOhYFjBwL1zxm1NNyK4u1XLHWimmOZqmaoqpmv= v7qot1TERzD6NG1HdOu61gWNS0vK0/CouU5VdUW6rfbFuKvBVVTPyoiq5THPEczbq7OJ7HJnGcr= zo7YeiUqlKuLsAAAAJVPCuidM27I25tmbGLd6uo5vNux1Z4qt0/wCdX90dkfXMegHlXTduyNwbk= nT8S51sDT5mimY7q7ndVV/RxH2c+d5+faKACgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAADdABkAAAADgAODgAOCIiO4AAAAAfLXp2Bczac65hY9WVTT= FNN6bUTXERPPEVd/D6erT6FBMJ1Y9BFMQoKAAAAATPAOLMyLGLi3cnIuU27Vqia66qp7KaYjmZa= qdIG5L26dzZGp1zVFjnqY1uf8AMtx3R9s98/XL0/4Qe6/A41G18K5/hL0RczJj/No76aPv75+qI= 9LxBYABQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AABugAyAAAAAAAAAAAAAAAAAAAAAADG5+yANXemD94+sf62n+xS6mCgAoAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//9k=3D" width=3D"793" = height=3D"1121" alt=3D"" style=3D"margin-left:-1pt; position:absolute" /></= span><img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBA= QEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEB= AQEBAQEBAQEBAQEBAQEBAQH/wAARCAAbAE0DASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAA= ABwUGCAkKAgT/xAApEAABBAMAAQQCAgIDAAAAAAAFAwQGBwECCAkREhMUABUKFiEiGCUy/8QAFw= EAAwEAAAAAAAAAAAAAAAAAAAECA//EACkRAQACAAYBAwMFAQAAAAAAAAECEQASITFBUQNxkfATI= mEygaHB8dH/2gAMAwEAAhEDEQA/ALAbx6gFUHCruua3rKsFMMDvK/BjZu2mcwdmDZDW+LBBRGGR= YS3M6bOyDrRuPBR8MxTTQatUEUk9Go5nvujzW3N/m+6DizK0o6FqbmeLnGqRiK1tedm26ftJ0Hd= J4cMNZg3jZduPhxR033S3cDFMvXg7ffZF4gi4TUQ1DjUFHp95X/HtX1jtGj+vMdg+QCyRAYpjTc= PIbgrE/dUprRB6grn4FnkcMMk5QE13122/asENE9d9lM6ZcD3yLdzI0R2hNAl83CT7Urt/ZDeV8= go8yOCkS5trYN0fXsL2s8JJW8FS+6+iVIF5XN443LyCQNp+mOeGmjF21EKI75QhG5S1Va1V6/c2= 9TGEPGOaaqynLmVVZ0n5DeivTHcTv/oqsb6R5H7biswo6/zAR/JqzMArSmcgqO9I6I2/7l9WUpW= Ktt1ioVPbRcvGSCSRhmh7190fj11yoSWJnproe4bApHmWTvI8ypSLBZX0HfVjy+ekINWmZQyfFY= rBQQNjJWDmY2KcCMFpAuLw/Yj4+Eci3pV3osWHN1mF5GZrA7Y8aNMXvGulpv1VN6i8idFo863tP= apzVUrLE5OeZx2YQmOqpxeHpS6OrRAhJ3hMoNE5HkHUc0YPfsPY5ndB78/T6q4QO8jXAnQBpKuM= d1OJVcHPFklXbIKIs0zJaNhVYyylxUkKbIimtiRArWwwuCjT9ym5PBZfs5EJqrNXSP4EIxnu/cL= lWyzLw+51V+k/SieWm0lBlWaVWINFrrduv8XgftJJ1jV1HVv1jM7KK3NyzOZElFJjJGidg1PbVE= E3koViI0xY0FdziRMlYo8K/RWXfJP2bwWFLhzLhtuye/Lp4Zl0nI5b0Xjk+sOi67qGaBq2dW9Zl= n37c8hDRWBwJogs9xkPH1pgJfTGSKjGrs45HNXrVsGjzfcyTX0bKoZ3APKsIiPEfgmeePSS5Jp9= w972bcZUnz2SeiSk4rlmYsJhVyNlyEKIcO14pXounKlhk+SOG9m6T82a2RGLrOHCLNKQEAhXKzq= y+v8AmbsOrqIlqnW4qt57yjL+icaAa4K27X1QDKoJVgpZSOiJuEyfdyAFycQmDKMCxYWXL6CcPX= bdZv8AhljnC6qN5RDkD8/7d4bCB5IRuhtY5mmq4sdSzfbCGPuO44dSy/W4XqSOdh8fxmfK17c9h= 1i9sWBz2jHO0n/q7SdyOJuZiabG63cOXIo8qTaKtSDWEGB0ty2WH7OstyXOLWuKVTKa11T1hsYK= Ip6t07h6S6LuGxZ3pU9BVw51eKBnBFgOkCL+Uy6TpCyboJH2jlsjoOYOHzt1jZRk2dxFuvPcPOX= J9wcqZ6Fqo4968aTzmioPHdI5Nv0TYcBqGVR4hUhu3x12JZZy6PxCFi/t2XGSVgJEhI6JtI4D2c= Ind8M2xUBs4PXAHsnjW3Fa70U7RgNGlucZbeshMwqoLJtujGIRq7o2cT8SQFbxM0fzFhRuItXxR= FscWIk09ESe7RYU/piZxXcdO6y+9b/5gfH4zyRjdXGX25nVMtCK8Mni67MeOM9GWI3gkxvSuevY= x2vR1Rrx9XohjBGVzUzdlHxOULKIjLWVgM2O4cS2tNMprOnZVog2zqIbuSLN07+i7R10HeLWVGp= Mn0u1eSo/IwY6wK9fRz9wfJyBJk2PVXHXbvIpwYdPlWrIhugi+2bNlE2m7lRd5hHDh04VVoL6Gm= thjrX6E6Cv2CVXTF59F8AN/HFzHxTVNsxa47Cswkdlw6SnbqmOYcq5YgK6r9qL1RZHjCnwiophd= u9eNyWGg97dz4co+tE490FFnK/2nEbNUkBXc+u2cOFxFKxwestrnbGNs6qqN9t9c5xjOdc49cev= 4yo+SKB+mWxVbb12aGnBi4wgebxxrRjNYqpplRpdxd8YfLn8j7Cddx9D8v29KRnOz6hO4b8kfLP= Ucc0dfs6pt6HdDT4jGy01TWV2bLRQ5ursHkGc4SHJs1vcV1wOwuu31HVX51OrYRChQK+vHVP7qm= 2g9m3Y2/ypOIJKams7OqOmjWTN9Cb5uTiTQtrjV2okRw4bMsLb6Jb7I667Zx8d28w0aZ7f7IMEo= P8AYIleqehCRBxiSy9D7D19bcudOl/hbn0kEsquFVFPjRSTS093tT000xrrgZxSFMYAJ3AweR2d= EAm+m+mREbuO2gw3Gu+ce/2MR81QbJ529c+uyaeu2fXP+fxhW2h13t3eKp3jVNNN6e3Zv+e8XG+= VDyg2VLJXAL769GQytlqaIPpVyF4+4zLh01Oa2a7HOBjG8egzwPfA9vvFxzp6lHGDVPVBsu9dNh= qi7h0R11hBzj5KeufJO9sWn1Kh5OKB4dCmE7NCrXjsvPAiiT2ewyuhDFiPFi5KvkqtI5yFxo6UZ= oIMmmrt2q8SwjjXeAZfmelz5B0XOxUiaKvVdlnhMtN58RIO1tv/AEq5ePJQs4XU29Meu6qm22fT= /Ofwl0/AYzRBY6cqJEvBS0kCpRw29ESmU7KkAyRoVI27RXD0y7T02ZyAAENMXSOiTxgUFMXzNwg= 5bpqajEUUFNn5898GSK5pBKXb1pxtxg82F3r0B4843AZZG6E4fizS/GDyRQzepB7/AAamMIDNxj= F9MCmG6LMkOBDZ3tKaq3YSDdkUTsOs7FD6CsJRvd85enP3ks7b8kGLCqePUFyzPUYtHBUmMwuxG= BR63PjnskGR5XUGLeakUipQQkRWPOWaOmj79KLKOGOrhyho2VhXMaSrifN4k0mYkxJW8Fj5CLRB= MtNJu6wAjxWay6xiQphtvI/fo1fTmeTGUOdd9t91S8iJudt85X9NV2rawiNMF8yKqdJJADuXgF/= +3jE6nQx/h5GTjORgXGrlCSYV1UFnB7Mk1zrtj2uW+mdsba+7XM5IXeUvv56YX0vHd5I2c1rx/w= AMSGsLvK7PHu2RUjlJ8PRGeHcif7fC6wikxHTAGIkYnSSwwgfOLR8WDKDpJHV2RtmzDyQquLSet= UCrNg9wogi4OffK71p5AJHKqKWqrlR8xRhD+Yv4/ZwaSn2EqQHHY6CRj0aiTBnITEvlaz6SsyDY= IEDviqQQaeON0FEwy+uY6WHG2VsRYDCbHISqYxWNkHhIMGNTeZuG7R883Wyo4331P6OHe6WrhdF= lh6s51GtllGo/Vq23yllCqisIZSZ97J6sYk4abJiVQBJ4NlEqW1IB1iA0v9B60fmnjJ0igYDhzL= LK7ZTdgZECy7HduRHM3KLyR00NNTDfHBczEs0Hn5pg6T7ubp3x5x+qLAZ8gcm1mn0FGjhYUQhML= NBjaGI0WQYkYrJ13TMWSYlUGD2OSNQFsptq2ESEGq8SbPt1WrfXr/Fu67nvbvPHWd12GHj8dkX/= ACIARHZhGk3Wo3LIDUkNWar41drKrYXUySVwr/v7c4109uMemfXFvacXZ3SNbjLaMTexB7A44kg= 9nLbGsA0gNNvhYwG+IDU3kmUwOVfCw4tq+0ZfAi8+g2WcpKuEtVfzZ5/FUraF1lyF0YLhAbIRiR= 6Ry/eIYJFiXzO8VjBm+FflLP36yfoiknp8aSmiX+vu9nvzttkyR3ovDIRi5gpqr5r+sf/Z" wid= th=3D"77" height=3D"27" alt=3D"" style=3D"margin-left:441.05pt; position:ab= solute" /><svg font-family=3D"Times New Roman" font-size=3D"16= " height=3D"41.33" version=3D"1.1" width=3D"209.31" xmlns=3D"http://www.w3.= org/2000/svg" style=3D"width:209.31px; height:41.33px; font-family:'Times N= ew Roman'; font-size:16px" xmlns:xlink=3D"http://www.w3.org/1999/xlink"><de= fs /><g><g><path d=3D"M0,0 L209,0 L209,0 L209,41 L209,41 L0,41 Z" fill=3D"#= 7c7c7c" fill-rule=3D"evenodd" /></g></g></svg><a href=3D"http://www.anatomiadigital.org/" style=3D"text-decoration:none"= >www.anatomiadigi= tal.org</a>ISSN: 2697-3391Vol. 8 No. 2.1, pp.= </sp= an>19 =E2=80=93 33, abril -= mayo <spa= n class=3D"awspan" style=3D"color:#ffffff">2025 Revista en ciencias m=C3=A9= dicas, salud p=C3=BAblica Art=C3=ADculo de revisi=C3=B3n bibliogr=C3=A1fica= .Palabras claves: Hipoacusia,<spa= n class=3D"awspan" style=3D"letter-spacing:-0.75pt"> Trauma craneal, Audici=C3=B3n, Ruido, Tinnitus.ResumenIntroducci=C3=B3n. La capacidad del ser </span= >humano para percibi= r <span= class=3D"awspan">e interpretar el sonid= o <sp= an class=3D"awspan">se da por<span= class=3D"awspan" style=3D"letter-spacing:-0.3pt"> un </s= pan>conjunto de = estructuras <= /span>como el o=C3=ADdo,<span= class=3D"awspan" style=3D"letter-spacing:0.6pt"> el </span= >tronco encef=C3=A1lico y <= span class=3D"awspan">el cerebro. La= p=C3=A9rdida auditiva posterior a <s= pan class=3D"awspan">un trauma craneoence= f=C3=A1lico, = con el o=C3= =ADdo = medio o la c=C3= =B3clea </span= >siendo los m=C3=A1s= afectados, suele pasar</sp= an> desapercibida; el d=C3=A9ficit audiol=C3=B3gico primario no<spa= n class=3D"awspan" style=3D"letter-spacing:-0.6pt"> solo <= /span>aparece como resultado </= span>de un traumatismo directo </s= pan>en el o=C3=ADdo<= /span> interno o medio,<spa= n class=3D"awspan" style=3D"letter-spacing:2.8pt"> como ocurre en fracturas= de la base del </span= >cr=C3=A1neo o desgarros <= /span>de las v= =C3=ADas neuronales centrales. En<sp= an class=3D"awspan" style=3D"letter-spacing:4.2pt"> el </sp= an>caso de la= lesi=C3=B3n secundaria temprana, existe </spa= n>un aumento de</spa= n> la= presi=C3=B3n intracraneal</s= pan> en respuesta a hematomas,</= span> hemorragias o degeneraci= =C3=B3n </spa= n>axonal difusa. La incidencia = de la hipoa= cusia <= span class=3D"awspan">post-trauma se prese= nta en </span= >aproximadamente el 5-10% </sp= an>de los casos</s= pan> de p=C3=A9rdida auditiva, = el <sp= an class=3D"awspan">grupo etario m=C3=A1s= <span= class=3D"awspan">afectado son los= j=C3=B3venes, especialmente aquellos<s= pan class=3D"awspan" style=3D"letter-spacing:0.35pt"> que = practican deportes<s= pan class=3D"awspan" style=3D"letter-spacing:0.35pt"> o </= span>participan en actividades</s= pan> de riesgo, adem=C3=A1s,</s= pan> los trabajadores expuestos= <span= class=3D"awspan">a ruidos muy fuertes</spa= n> y = lesiones f=C3=ADsicas.</spa= n> Objetivo. Analizar el impacto del<sp= an class=3D"awspan" style=3D"letter-spacing:-0.35pt"> trauma craneal en el </s= pan>sistema auditivo y </spa= n>su relaci=C3=B3n con<span= class=3D"awspan" style=3D"letter-spacing:2.45pt"> la </sp= an>p=C3=A9rdida auditiva<s= pan class=3D"awspan" style=3D"letter-spacing:2.45pt"> determinado medios diagn=C3=B3st= icos <= span class=3D"awspan">e intervenci=C3=B3n temprana.= Metodolog=C3=ADa. <span= class=3D"awspan">Se incluyen estudios or= iginales, </s= pan>investigaciones cl=C3=ADnicas,<= /span> metaan=C3=A1lisis publicados durante</spa= n> los cinco a=C3=B1os<= span class=3D"awspan" style=3D"letter-spacing:5.75pt"> (2020-2024) con =C3=A9nfasis<= /span> en el diagn=C3=B3stico = y <spa= n class=3D"awspan">manejo de la<sp= an class=3D"awspan" style=3D"letter-spacing:2.45pt"> hipoacusia por trauma<spa= n class=3D"awspan" style=3D"letter-spacing:2.45pt"> craneal. Re= sultados. El trauma</span= > craneoencef=C3=A1lico (TCE) t= iene <s= pan class=3D"awspan">efectos significativos en<span= class=3D"awspan" style=3D"letter-spacing:2.15pt"> la </sp= an>audici=C3=B3n, lo que </span= >se evidencia en</= span> varios estudios. Por un</= span> lado, en ratones<s= pan class=3D"awspan" style=3D"letter-spacing:2.15pt"> muestra que el = TCE <s= pan class=3D"awspan">leve repetitivo puede = causar = un da=C3=B1o neurona= l <span= class=3D"awspan">temprano que, aunque no</= span> afecta directamente a= las c=C3=A9lulas ciliadas,</spa= n> provoca una degeneraci=C3=B3n del <= span class=3D"awspan">ganglio espiral. = La <sp= an class=3D"awspan">evaluaci=C3=B3n precisa de la </spa= n>p=C3=A9rdida auditiva y <= span class=3D"awspan">el entendimiento de</= span> los antecedentes de exposici= =C3=B3n </spa= n>son esenciales = para <= span class=3D"awspan">el tratamiento efec= tivo <= span class=3D"awspan">de la hipoacusia t= ras <sp= an class=3D"awspan">un TCE. Estudios= coinciden en que una intervenci=C3=B3n temprana es</span= > vital para evitar<spa= n class=3D"awspan" style=3D"letter-spacing:3.15pt"> la </s= pan>progresi=C3=B3n a sordera</span= > cr=C3=B3nica. A medida<s= pan class=3D"awspan" style=3D"letter-spacing:0.7pt"> que </= span>se avanza en</s= pan> la investigaci=C3=B3n, la i= ntegraci=C3=B3n de m=C3=A9todos<span= class=3D"awspan" style=3D"letter-spacing:1.4pt"> de </span= >diagn=C3=B3stico objetivos,<= span class=3D"awspan" style=3D"letter-spacing:1.4pt"> como = la DpOAE, junto con </span= >una comprensi=C3=B3n del <= span class=3D"awspan">contexto del trauma, = puede <= /span>mejorar significativamen= te </sp= an>los resultados deltratamiento en = pacientes </= span>con hipoacusia post-TCE.<= /span>Esta </spa= n>revista= est=C3=A1 protegida bajo una licencia Creative Commons <span= class=3D"awspan" style=3D"font-size:8pt; font-style:italic">en<span= class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spacing= :-0.2pt"> la 4.0 International. Copia de l= a licencia: <a href=3D"http://creativecommons.org/= licenses/by-nc-sa/4.0/" style=3D"text-decoration:none"></a><a href=3D"http://creativecommons.org/licens= es/by-nc-sa/4.0/" style=3D"text-decoration:none">http://creativecommons.org/licenses/by-nc-sa/4.0/</a>= D i= a g<= /span> n =C3=B3<= span class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-= spacing:0.45pt; color:#ffffff"> s t </spa= n>i c</span= > o M =C3=A9 <= span class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-= spacing:0.5pt; color:#ffffff">d i c </spa= n>oP =C3=A1 g i n a<sp= an class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-sp= acing:2.85pt; color:#ffffff"> 20 | 33<img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2w= BDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFhwXExQaFRERGCEYGh0dHx8fE= xciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4e= Hh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCARhAxkDASIAAhEBAxEB/8QAHAABAQACAwEBAAA= AAAAAAAAAAAECCAMGBwQF/8QAWBABAAEDAwAECAsDBgsGAwkAAAECAwQFBhEHEiExExQXQVFVlN= IIFiJUVmFxgZKT0TI3dBWRobGysyM1NkJSc3WChMHTGCQnM6LDJWJyJkNFRmOjwuHw/8QAGwEBA= QEBAQEBAQAAAAAAAAAAAAECAwQFBgf/xAA1EQEAAQMCBQMBBgUEAwAAAAAAAQIDEQRSBRMUMZES= IUFxMzVRYYHwFSJCodEGIzKxNMHh/9oADAMBAAIRAxEAPwDpoD+lPxQANEosoAAECSqSLKAKgAk= kJPeE94pIACT3Is9yAABAkqkiysBAIkosoKkrHckrHcqACCSEiwACglXmVKvMCEhIIAKAJJAAQs= JKLKKSACD9HDteCt8z+1V2y+XCtde51qo+TT/W/RYmWK5+BjPeyYz3sswANKAAJKpIAAADIAKgA= qsZCQPgAlCEqnsYkiNQkosoKMZ7e1ap8zGGKpy1TAksuWNTDeQFpjsIgmQWYRqUhJ7wnvAAASUV= BRJUnu5QYVT5mE9yzPM8pPc5z7ukIkwqpgliLKfZ2osLTT1qo9Dk+5KY6sfWy5daacQ5VVe76AH= ocAAaJRZQAAIElUkhZQBUB9uBpebm4OdnY9masbAt03Mi5PZFMVVRTTH2zM931T6Hb+jros17fG= i3tV0vO02xZs5E4805FdcVTVFNNUzHVpmOPlR/S897VWrNM1VziOzrbs13JxTDoU96PY5+DxvD1= tof5t3/AKZ/2eN3+ttD/Nu/9N5f4tpN7t0N/a8cOXreV8H/AHxZpmbWTo2R6KaMiuJn8VEQ6Juz= Ze59rXONc0jIxrfPEXojr2pnzcV08xz9XPLva12nvTiiuJlzr0123GaqXX57kWe5HrcAAIElUkV= YAESUWU5gWElY7klY7lQAQSQkWAAUEq8ypV5gQkJBABQBJIACFhJRZRSRaYmqqKYjmZ7kfZgWv/= vao+qlJnDMziH02aIt24pjzd7MHNyGM97JjPeLAA0oAAkqkgAAAMgAqACqxkJA+BJWUSSElJhki= NMZRlLCe/hJnCwkx28oyYzDm3EiSqSKR3s0pjiFVBOFFGEwMp704BAQCUVEX4GFc89jKZ4hxpVK= whCjnhtAEBaKeZ59COWmOIappzOSZSUZVMeJdXPD6QHVxABolFlAAAgSVSSFlHPp2HlajqGPgYV= mq/k5FyLdq3T31VTPEQ4GxXwZ9gzh4kby1SzHh8imY0+irvotz2Tc+qau6Pq+15Nfq6dLamue/w= AO+msTfuRTD6N57OxdlfB71LTbc03MqvwNzLvRH/mXJuUc9v8Aox3R/wD3L7fgm/u6zv8Aa1z+6= tP3/hDTHkk1iP8AVf3tL8D4Jv7us7/a1z+6tPy1Vyq5oaqqu81f+n26aIo1VNMfg9T1vVcDRdMv= anqeTTjYlmIm5dqiZinmYiO765h1WOljo9nj/wC02L+Cv3XF0/8A7pNc/wBXb/vaGnTpwzhlGst= zVVMxiWdbra7FcU0w3m0Ddm29fqmjR9bwc2umOardq9E1xHpmnv4+5+nnYuNnYl3GzLFvIx7tM0= 3LdymKqao9ExPe0MxMnIw8q3lYl65Yv2qoqt3LdXVqpmO6Yluf0S7hvbo6P9L1fJqpqyq7c28iY= jjm5RVNMzx5ueOfvcuI8MnR4rpnMNaTWRqM01R7tcOnfYNGy9ft39Opq/kjP5qsRM8zarj9qiZ9= HbEx9U/VMvN23PwktMtZ/RVnXqrcVXMK7ayLc+emetFM/wDpqlqfpUzTqeLNNm1fmL1HFu9zNFf= yo7KuO3ifPw/QcJ1VV/TZq7x7Pl66zFu9iO0vedP6O8Kvoyo29XoVVWu5GlVanGp+Kz1aLvXiqj= H8Jx2VdXsmOfNM+d0jb3Rxo2dtjb+rapum9p97XMivGxrNOnzdiLkXJoiJqiuO/iPNHe9Kubc6b= 691U6/Tq2k0RExP8n05t6MTiKerx4P0T39/f2vl1HY3ShmWtIteKbUsW9J1CvPxrdm7dinwlVyb= k0zz/m8zMREcdnnfJt6qujMc2Pec9/r7f9PbVYpn+ifb2dH0Dojrz8/VsHLz9Qt3NPz6sTwuPp/= hbVcRETFXWmunie3mae3jsfp6T0c7Z0zTd9YW48+u5l6NNiLeXasVT4CiunrU3IoiviqaueJpnu= 6vf2ubeWsdJG0IzLm5Ns6Jm6fnZ3jkVXLNV6xavcRT8maa4mn7Kvr4878nae6N+7n3BuTU9I21p= esRqduxTqWHctc2OKKerbmIqrie6mrzz5/q49M16u7RNfrj0+3aY/JyxZomKfT7vjwejrQ6NO0S= /rW6b2De1+5VTptu3gzcjq9aIoruT1o463NPZ5ut9U8fTp3RRh0xkU63uSvBu29bjR7UWcKbsXb= lUUzRVz1o4iet9z5r2+Nz7UvWdC1vbeiXcrSrs3cOnMx+vXhTX8uIommrjiOYmO/js9Ecfi0dIm= 4PFqbV+nEya41mjWartyietXfpiOIniYjqdndERPomHoijX1xmmr2+sf2/RxmrTU94di3H0V4Gn= 2cy5p25pz69O1CxhZ1m5gzamibtVMRMT1pir9qP1fqal0c0a/u/WsOa68K1pVy3i0fyZpEeBqia= Iq5nm5z1uZ7eZqn6+50zL6SNcyKtXm5i6fH8rZtnMv8AFuv5NdqYmmKfldkT1Y555+52La28d87= o1DW7OnbY0fXIzr1Gbk4l6zM27VcUxRFVPNcT3RHfM/c5XLeuop9VVXb5zHzhuivTVTiI7uldI2= 1ruzt15GhXcujL8FTRXRepo6nWpqjmPk8zxP3y69Hc7V0sZu4s/eV+/ujTLGnal4K3TVYsxxTTT= FPyZ/aq831v1dS6JN1afs+rdF+5p04NONTkzFN6qa+pVETHZ1e/tjzvqWtTTRao51UZn+7x12Zq= rq9Ee0OgAPY86SEuy9H+ydY3vn5OFo1eLTdx7UXa/D3Jpjjnjs4iWLl2i1TNVc4iG6KKq5imnu6= 0P2d6ba1HaWv3dF1WbE5NqimqqbNc1U8VRzHbMR6X4zVFdNymKqZzEs1UzTOJEq8ypV5m0QkJBA= BQBJIACFhJRZRRnZom7ciiPv8AsfqUxFNMUx2RHY4cK14O11pj5VTnYqlyqnMgDLIxnvZMZ7xYA= GlAAElUkAAABkAFQAVWMhJIfCSIqSsAIglUsOGVU9qcszLpEIKkwipwcKSQSACZABUnvRZ70CA4= AVEmGTGqeIQYVT2sPOySYYlqEARUAjtngwZZW457XIkRxHBzx3ukRhMkosoqPoAdXAAGiUWUAAC= BJV9eiaXm61q+LpWnWpu5WTci3bpj0z559ER2zM+aIZqqimJqntDURMziHcOhLYte9N00+M0VRp= OFMXMuru6/+jbifTV/VE/U2+tWrdm1TatUxRboiKaaaY4imI7oh1/o72rh7P2xjaNh/Kmj5d+75= 7tyf2qv+UeiIiHYrlNU0TFM8Tx2TL8NxHWzqr2fiOz9NpNPFi3j5+XgXwot60xTRsvAuc1VdW9n= 1R5o76Lf/wDKf93637/wTv3dZ/8Ata5/dWnUel3oks6Lt/Vt3X9w5efmeEi7cpuWaaYrqrriJ7Y= ns/adu+Cb+7rP/wBrXP7q09t+bP8ADoi1Off3+rzWuZ1ea/wdl6f/AN0euf8A0W/72hpy3F6f/w= B0muR/8lv+9oadPof6f+xq+rycV+0j6Daj4LMV+TOvr89X+ULvU+zq0f8APlq/p+Hl6jm2sLAx7= uTk3qurbtW6Zqqqn7Ibo9Fm3Lm1th6Zo1+KPGLVua780zzHhKqpqq7fPxM8c/Ucfu08mKPnJwqi= eZNXw+bpr6kdFm4ev3eKTx9vMcf08NN9I/xrh/6+j+1Da34Smq2sDoszMeqvi7nXbdi3T56vlRX= P9FMtUtI/xrh/6+j+1DHA6ZjTVz++zXEpib9MN1OkvW8vbexdT1vAptV5OLaiq3F2JmiZmqI7Yi= Y9PpeCYPwhN228u3XmabpF/HiqPCUUW66Kpjz8VdaeJ+viXtHTt+6XX4//AEKf7dLTXlw4No7Oo= tVTcpz7uuv1Fy1ciKJbx41ek732Xbu1Wqb+nariczRVxPEVR2xPoqpn+aYeC9COl720ncm6tJ2x= e0SL+Feox8urUKbkxV1a7kUzR1Psq7/qeudAGNkYnRHodvJoqorqouXaaZ/0a7tdVM/fExP3ut9= C1dFzpV6SKqOOPHqI++K70T/S8NqqbVF63T7xH+Xprp9dVuqe/wD8eI9MFjX73SZnY+s04l/V7k= 2aaqcCmubdUzbp6sUxV288cfe7BonQPvjUcSnIvzpunTV3Wsm9V1+PTMUU1RH8/L0fRNLx874UO= u5d+iK5wMK3dtRPmrm3bpif5pqfJ8InpF3HtjXMLRNAyacPrY0ZF69FumqqrmqqIpjrRMRHyZ83= n/n+nTrtRXy9PYxE4h4p01qn1XbucZdSn4PG8PWuh/m3f+mw6GdG3noe/twaNt6/ok5+Ha8Fk15= nhJtVRFcfsdWOe/08PSfg37p17dOjatf13UK825YyKKLc1UU09WJp54+TEPzeiT9/e/Ptq/vIcL= ur1E03bV6Yn0x+H5w60WLUTRXbzGXQt3bN3fvbpfztH1HK0W3q9vBoyLldqblNiaIiiIiOYmrn5= Uebh7zuHbObqPRZc2pZvY9OZVp1vFi5XM+D61NNMTPMRzx2eh4T066/rG3OmnUM/RM65hZNWHZt= TXRETM0zTTMx2x6Yj+Z7VurV9SxOhS5rePmXLeoxpVq9F+IiauvNNMzV6O+ZcdVzposTGMe2Pq3= Y9EVXInv8tcd49GGubW1nRtLz83Trt7V73gbFVmuuaaautTTzVzTHZzVHdy7THweN4T/+LaH+bd= /6bote4t57x3BpVq5n5Oo6nZvx4hHVp5ormYnmOIjz0xPb2dj3HE2f0212KK8jf+HYuT30RHW6v= 1c+DfT1Wo1Onppiq5TE/P7w8di1ZuzMxRMw803J0Gb20fTq8614hqdNuOa7eJdqm5EeeYiqmOfs= jmfqfvfBE/ys1r+Bp/tw9v6PdO3XpmlXsXdusY2rZHhetZvWqJpmKOI+TV2R5+f53mvQvYtY3Tn= vqxZoii3TVc4pjujm7y8FXELmo0923cmJx8x9XqjS0WrtFdPtl5v8Jj97Wd/D2P7EPNHpfwmP3s= 538PY/sQ80foeG/wDi2/o+Vq/tqvqJV5lSrzPc86EhIIAKAJJAAQsJLmwrPhLvWq/Zp73DxM1RE= R2y/Ux7cWrUU+fzkzhmqcOSUWUc3IAAYz3smM94sADSgACSqSAAAAyACoAKrGSe4knuRWKopCQM= ap4VjPektQhMAy2ncvIiC8dqSpKiAAAIMZ7xZ70FiQAUcVc81M654jhxyzKgDOCEk4UGssWVuOO= 1IjmeHJDVMM1SANJCTCLKA+gB1cQAaJRZQAAIGy/wbtgxo+lRunVLURqGbb/7tTVzzasz5+PTV3= /Zx6Za36bk04efYy6sazkxarivwN6Jmivjt4q4mJmPveqf9oHedNMU0adoNMRHZxj3ez/9x8ril= rU36OXZj2nu92juWrVXruNit367iba25m61mz/gsW1NXHnrq7qaY+uZ4j72ts9Pe+pqmYp0uI57= I8WmeP8A1PwukDpQ3JvXTLOm6pRg2Ma1d8L1cW3XR16oiYjrc1TzEcy6O8/D+D00UTOopiZddVx= Cqur/AGpxDv8Au3pc3ZubQcjRdSjA8VyOr1/B2Jpq7KoqjiefTEPYPgm/u7z/APatz+6stYHfOj= zpS1/ZGi3dK0rD02/Zu5FWRVVkW65q600008fJqiOOKY8ztr+HxVp+Xp6Yj3y56XVYveu7Pw251= XTsHVcC7gali2srFu8eEtXaYqpq4nmOY+2Idfjo62LHExtTSPvxqXhX/aF3l6r0L8m7/wBRJ+EL= vH1ZoX5N3/qPiUcJ11PtT7fq+lVr9NV3/wCmxmj7f0LR5qnStIwcGqqOKqrFimiZj0TMQ+nU8/D= 0zAu5ufk2sbGs09a5cu1RFNMfa1e1Hp731lWposRpWFP+lYxpmr/11VR/Q6JubdW4ty3Yua5q+V= m9Xtporq4opn6qY4iP5nW3wLUXKs3Zx/dividqmP5Idn6cN/fHbcNNOF16dJweaMaKo4m5M/tXJ= +3iOI80fXMujaR/jXD/ANfR/ah889yUzNNUTTMxMTzEv01rT02bXKo7PjV3ZuXPXU3t3TomHuPQ= MrRc+q5GLlURTcm1VxVxExPZPb6Hn2J0DbEsZNu7XGpZFNE8zbuZPyavqniIn+lrHGu63651H2m= v9Sdd1uY4nWNQ4/ia/wBXw7fBtTaiaaLuIn6vpVcQs1zmqjLb/pF3pomw9uVVVXLEZFNnweFhUT= HWrmI4piI81MdnM+aPuh5f8EnIu5Oqbqyci5VcvXfF67ldU9tVUzdmZn75eBXbly7XNy7cruVz3= 1VTzLlw87NwpqnDzMjH6/HW8Fdmjnju547/ADvRRwaKNPVbir+ar5c6tfM3YrmPaPh7vqu7MXaP= wmdTzNQueDwcqzaxr9fHMURVbtzFX3TTHP1TLvnST0caH0kU4eqWtUnHyLdrqWsnH6t23ctzPMc= xz2988TE+fztWtAxLu491abp2XmXfCZ+Vax6r9czXVT1qop57Z7eOe76nvWJ0A3sSmacTfWfj0z= 5reP1f6rjx6yxb0tVExc9NcR+Dvp7tV6mqPRmmZd66Jdg29g6fm4lvU69Q8bu03Jqqs+D6vEccc= czy6Z0Sfv6359tX95DuWz9DwujXbOdd1jct/Ntzcm9cycuvq9WIp4iimJmfRPd2zMtUtzbiydR3= dq2t6ffycOM7KuXaYouTTV1JqmaYnifRw4aPT16uq7HqzmO/6uuou02Io9u3w7d8Jqf/ABZzf4e= z/Yh77oWPg726GcLTreX1LWbpdvHruW+KptVxTETHHpiqO76mnWVkZGVem9k37t+5PfXcrmqr+e= XLhZ2dhRPieZkY/Pf4K7VTz/NL69/hdVyxboirFVLwWtbFFyqqY9qntej7PwuiXpT21k6rrlrLx= 87w9vw04/gqbNXU6tMz8qrvmqI57OHq/SVtHWt114VzRt45uhU2KaorpsRM03eeOJnq1U9scT6e= /wA3n09zc7NzerOZmZGTNHPV8Lcmvjn0cy5cfV9Wx7cWrGp5tq3T3U0ZFVMR90S5XuF3rlVNya/= 5o/JujW26ImmKfafzbj9Ge1tX2thZljV9z5OvV37kV27l+Kom3ERxxHWqqdB6If39b8/+qv8AvY= a8TruueudR9qr/AFcFnUdQsZFzIs5+VbvXf/MuUXqoqq+2YnmWKODXMV+quM1R+DVXEKc04p7PQ= vhMfvazv4ex/Yh5o5MnJyMq9N7Kv3b92Y4mu5XNVU/fLjfa0tmbFmm3M5w+deucy5NX4iVeZUq8= z0OaEhIIAKAJJADK1RNy5FEechX0YFrmrwtUdkdz7UopimmKYjiIZMTOXGZzKSiyiIAAMZ72TGe= 8WABpQABJVJAAAAZABUASVVCQkVioiJCVSxWe1GZagFRFyEKiqEgggvCSNZABMJPeiygAJVJKsK= u2eUZJLm2nCKAgcLTHM/UBTHHayU4dGEAFhJRZQR9ADo5AA0SiygAAQJKpJCygCoAEkJPeE94Ei= KAk9yLPcgAAQJPcqSKytV127lNy3XVRXTMTTVTPExMeeJfb/LOr+tc72iv9XwwMzRTV3giqY7Ob= MzMvLmmcrKv3+r3eFuTVx/O+dZRYpiOyzMz3SVjuSVjuaZAEEkJFgkAUEq8ypV5gQkJBABQBJIR= +hhWupb69UfKq/oh8uJa8Ld7f2Y7ZfpMzLFU/CgMsJKLKAAAMZ72TGe8WABpQABJVJAAAAZABUE= mFFViSSSCMap8ysZ70lYQBGl8yLPciILxKMlViMphEVAAJRU4RYE4UBjPYwZ1T5mPDMtQgJwirw= xXkMCM6Y4hKI5llMLTBKcqxOWmMrKEgpKcKCOYc3imX82ufhk8Uy/m9z8Ms9Ra3R5OTc2y4RzeK= ZXze5+E8Uyvm9z8J1FrdHlrk3NsuGUc84mV82ufhTxPK+bXPwnUWt0eU5NzbLhHN4nlfNrn4TxP= K+bXPwnUWt0eVizc2y4Ulz+J5Xza5+FJw8v5td/CRqLW6PK8m5tlwDn8Ty/m1z8MniWX82u/hle= otbo8pybm1wDn8Ty/m138MnieX83u/hlOotbo8kWbm2Xzz3jmnCy/m138MnieX82u/hleotbo8n= JubZcI5vE8v5td/DJ4nl/Nrv4ZOotbo8nJubXBPcjnnDy/m138MniWX82u/gk6i1ujycm5tlwDn= 8Syvm138EniWX82u/gk6i1ujyRZubXAkvo8Syvm138EpOFl/Nrv4JOotbo8rybm1wwOfxLK+bXf= wSeJZXza7+CTqLW6PKcm5tl88o+icLL+bXfwSeJZfza7+CTqLW6PK8m5tfNKx3ObxLL+a3fwSsY= WX82u/gleptbo8pybm1wD6PEsv5td/BKeJZfza7+GU6m1ujycm5tl88jnnCzPm178EniWZ81vfg= lY1NrdHlZs3NsuAc/iWX82vfhk8Sy/m178Er1FndHlOTc2y4EnzPo8Sy/m178Ek4OZ82vfgk6iz= ujycm5tl8w+jxHM+bXvwSTg5nza9+CTqLW6PJybm2XzD6PEcz5re/BKeI5nzW9+CTqLO6PK8m5t= l869szxEczL9vTNobq1PG8Z07buqZdjrTT4S1jV1U8x3xzEP0sLo+3rFc117U1mOO7nDr/RidXY= j+uPJybmP+Mvxce1Fq3FPn88uV2H4i70+iuseyV/ovxE3p9FtY9kr/AEY6uxvjy5ci7tl10di+I= u9PotrHslf6HxE3p9FtY9kr/ROrsb48nIu7ZdclHY52JvT6Lax7JX+ifETen0V1j2Sv9Dq7G+PJ= yLu2XXR2L4ib0+iuseyV/ofETen0V1j2Sv8AQ6uxvjyci5tl11j53ZfiJvT6K6z7JX+jH4h71+i= us+yV/odXY3x5WLFzbLrg7H8RN6/RXWfZK/0PiJvX6K6z7JX+jXV2N8eV5FzbLrg7H8RN6/RXWf= ZK/wBD4ib1+ius+yV/onV2N8eTkXNsuuI7J8RN6/RXWfZK/wBE+Ie9forrPslf6L1djfHk5FzbL= rg7H8Q96/RXWfY6/wBD4h71+ius+x1/onV2N8eTkXNsuuJy7J8Q96/RXWfY6/0PiHvX6K6z7HX+= h1djfHk5FzbLrg7H8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHlORc2y64Ox/EPev0V1n2Ov8AQ+I= e9forrPslf6L1djfHk5FzbLrQ7J8Q96/RXWfY6/0Sdh71+ius+yV/onV2N8eWuRc2y61PenDsnx= D3r9FdY9kr/Q+Ie9forrHslf6HV2N8eTkXNsutTHZ2I7N8Qt6fRXWPZK/0Sdh71+iuseyV/odVY= 3x5Xk3Nsut98I7J8Q96/RXWfZK/0T4hb1+ius+yV/odVY3x5OTc2y64yh2H4hb1+ius+yV/ofEP= ev0V1j2Sv9DqrG+PJybm2XXkl2P4ib0+iuseyV/oTsTen0V1j2Sv9DqrG+PJybm2XWx2P4h70+i= us+yV/ofEPekf/lbWPZK/0Oqs748rybm2XXB2L4ib0+i2seyV/ofETen0V1j2Sv8AROqs748rFq= 5tl1ye9JniHZJ2JvT6K6x7JX+jjq2PvLnj4r6v7JX+h1VndHleTc2y66OwfEfeP0Y1f2Sv9D4j7= x+jGr+yV/ox1FrdHleTc2y6+xdi+JG8foxq/slf6J8R94/RjV/ZK/0Ootbo8nKubXXk4dh+JG8f= oxq/slf6M6NibzqjrRtbV5j+Er/Q6i1ujycq5tl1+I4jgl2P4ib0+i2seyV/ok7E3p9FtY9kr/R= rqbO6PJyrm2XW+xOHZPiJvX6K6x7JX+h8RN6fRXWPZK/0XqbO6PKcm5tl1yCYdj+Im9PorrHslf= 6HxE3p9FtY9kr/AEOps7o8nJubZdbHY6tib0+iuseyV/onxF3p9FdY9kr/AEOps7o8pybm2X6PA= D8C/WgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD79v6Vla5rWLpOHTzfybkUUzPdTHnqn6= ojmZ+x8D3n4P20/ENKr3Hm25jJzKerjxPfTa/wBL7ap/oiPSg9G25pGJoeiYulYVHVs49EUx6ap= 89U/XM8z979EiOBAAAAAAAAAAAAAAAAAAAAAAAAAcVc8yzrniOzvcYJwjIBiLwgJMCgIkxyvADH= jhO9mkwDHhGRwDDgZcJPcDivVdSjmO/wAz4/O5r1XXrmfNHZDjmBWExDGaWcwA4+IThyTDGY4US= 3RNdcUx53300xTEUxHEQ48S31aetMdsudFYpLLhBEJXhBMJwjJOBUlOIZSgNRAGkAAAAAADl+1t= bFx9Qp1PT68eLmVcw6rmHVH7VNy3MVzEfbRFcfbw7PG29OqysKIxaJtaPdm1rU01TPhOra8NVM+= jmabtv/dp88g8+OXctH0zS8/B03WrmNTRj4l3I/lK1RMxE00R4W3H1daJ8H/ux5zWNP0rS8bUNW= oxaLuPlZdidNtXJnjwVVMXq/t4iaKJ+2QdNHoVe2NPs39QsXMejjVbtVGi1TVPyafBeGpmPTz17= VH31eh1nc2HaxKMLDx8Oqi9i4VurOucT23bny+30cRVRT9sA/Dct+xXZtWrlVdqqLtPWpii7TVM= RzMcVRE80z2d08T53bNcr0jQ8qNCo23j5seL26qsu7cuReu1V24q69E01dWKYmeyOrPZHa59O0H= TM7L2xau0UWreRpt7JyO2qJvVW670xE9WJntiimPkxzx3RyDo47nuCjbuVoGVkY06RayseqjwP8= m2sziqJniabk3aer3czE8xPZL9CbG36922tq29vYtFrJot0VZc3Lk3qLldqKutT8rqxETPdxPPH= 1oPPHLTYrnFqyYrtdSmuKJpm5TFfMxM9lPPMx2d/HDsmLGnaNtfT9Tu6NjapkZ927FVWVNfg7NN= uYp6sRRVHyp55mZn0cQ4rmLh5e2NSzsbTYxrs6pYt2bfXmubdFVFyepEz2zHMR39vZCjrZ//ALv= eh5ek6VXpuqadXjaFZzcDDru8Yd3IuZFuu3x1uvXMTant5iY5757H5moXNK0W7i6RG2cbUPCY1m= 5cyrly5F6/NyiKubU01RTTETV1Y7J/Z7fOg/A1XSbun6jn4dV6xXOFX1a6puRTNfbx8mmZ5n7I5= fnO77ixMa/rO9712x1rmNMVWZrj5VEzfopn7+JmHz6jc0rRqsTSPi1j5/hcazcuZNdy7F69NyiK= ubUxPFMRNXEfJnu7QdVosV141zIiq1FFuaYmJuUxVPPPdTM8zHZ2zEdjG7buWa+pdt126+Inq1R= xPExzH88TEu5a1p+nadc3Jes6faqjT9VsUWbV6KpiKObnNE8TzxPViJ7eezvfRr1yjWt5YuJRom= k26LOLZyL1XhLlqmq3GNRXPhKpqniimO7jieI75lR0S1T4S7TbieOtVFPP2vs3Bptej65naXcu0= 3q8W/VamumniKppnjnh2jcmHpdzRcPVcG3pVF2jUIxq503w8WqomnrcT4aP2o476eztfl9I1q7O= +NfvRbrm1TqF2ma+rPViZqniOfT2T/Mg66cw7xqEaNo+uWNufFrHz7dUWabmTcruRfvTcppnrUT= TVFMR8rsjie6OUu4Gk7ewtduXtOx9WvYOrxh49V+qqKOrxc5mqKZjn9mOznv+xR0gdy1W5pOheJ= afO3MTUJycW1k3ci7cuxXXN2mKuLXVqiKYp56sTxPbHa/I3zh42n7sz8PDsVY9i1XEUW6u+mOrE= 8T9YPxAAAAAAAIiapiKYmap7ojzg7P0Z7Xubq3RZwqomMO1/hcqvjuoif2ftqns/p8zaaxat2LV= Fq1RTRbopimimmOIpiO6Ih1Dom2rG19sW7d+iIz8ri7lT54njso/3Y/pmXcmQAAAAAAAAAAAAAA= AAAAAAAAAAJEq5nsBhM8zyizCAnHApwCBMAJMIyAYizCAgpwCJwoDFxX6urTxHfLmmYiOZfLXM1= VTIsOLhJhnwgrCYSYZzCcA42Vqjr1xHm86zD6LNHVo+ue2RJZ+bgAQAFSYRkTAMeEZIIgvCA1CA= aAAAAAAH06ZnZemahY1DBvTZybFcV264iJ4n7J7J+9z2Na1Wzb1C3azblNOpRxlxxE+Fjnrdv38= 93pmPPL88B9mJqediadmafj5E28bNiiMi31Ynr9Weae3jmOJ57jN1PPzcHCwsrIm5j4VNVGPRMR= HUiqeZjsjme30vjAfoX9b1a9Vp1VzNuVTptNNOHzEf4KInrRx6e30+iI7ohlk65q2RVqU3s2uqN= TqivMjiIi7MVdaOeI7OJ9HH8z80B+zjbp3Bj4EYVnUq6bVNE26Jmimblumf82muY61Mds9kTD46= 9W1KqcGrxuumrAo6mLVRxTVajrTV2THE99Uzz39r4gH6usbh1nVrMWc7M69qKuvNFFui3FVX+lV= FMR1qvrnmXDTrGpU6zb1inJ4zrc0zRd6lPZNMRTT2ccd0R5nwAP09H1/V9Js12MHL6lmuetVauW= 6blHW7ut1a4mIn64jlx5WsanlWsi1k5ly9Tk36ci9NfE1V3KYmIq63fHEVT2cvgAfuZO7dw5Niu= xe1GaqLlubd3i1RE3aZiYnrzFPNc8T31czHmYYO6NfwsGjDxtRqptW4mLczbpqrtR6KK5iaqP92= YfjAPvv6zqd+5n3LuT1q9Q48amaKf8ACcVRVHm7O2Ins4dq0TOro0nEt0b6x8TGooiK7d7EqnJx= /wDSptVRRVMR38cVU/ZHa6MA/Y1/XcjUNQ1auxVVbxNQy/GJtVUxM9k1dTme/mIqnuSNya3FWDX= Tm9W5gUdTHri3RFVNPHV6s1cc1Rx2cVcxx2PyAH6up7h1jUrUWszLiu1Tcpu026bVFFFFVPPE00= 0xER+1PZHf5+XHn65q2dby7eVmVXKMzJjKv09WmIruxEx1uIjs757uIfnAP2sPde4cTDpxMfUq6= bdFPUt1TbpquW6fRRXMdamPqiYfmxnZcadc0+Lv/drl2m9XRxHbXETETz391U9j5wHd9v51y3o+= Nas73xcKxRH+Es5OJVVex557fAzFFX2xxVT2+h1zdmpWtY3JnalYpuU2b92arcXP2urxERz9fEd= r8sAAAAAAAel9A2051fXp1vMtz4np9UTb5jsuXu+I/wB3v+3h5/o+n5WrapjabhW5uZGRciiiIj= 0+efqjvmfREtr9paJjbd0HE0nEj5Fijiqvjia6v86qftlJH60RxACAAAAAAAAAAAAAAAAAAAAAA= AABLGFn0AITCgjCYRmkwKxOFnsQEFJgESYUBOEZJwCJwqVTERMyDhvzPHVj73C5J5meZ70mIkWG= EpMMpiUFY8Jwz4SY8wFmjrV8z3Q+hLdPVpiPP52QyicLMAMRknAIAAnCgqIyOAa3+TPfHqK5+db= 948me+PUVz8637zaAXKNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPz= rfvNoAyNX/ACZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/y= Z749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvH= kz3x6iufnW/ebQBkav8Akz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8me+PUVz8637x5M98eorn51v= 3m0AZGr/kz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8AJnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M9= 8eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ= 749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/wCTPfHqK5+db948me+PUVz8637z= aAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me9/UVz8637zaAMjyroT2Hl6= FdydY1zGiznTzax7c1RVNFP8AnVdnZzPd9kT6XqpxHogQAAAAAAAAAAAAAAAAAAAAAAAAAAEmFB= EADIAGE4SYZAZYIzmEmBWKcMkBBU4AcN6fldWO5yV1cRy4e8GKTDLhBWKTHLNOAYcSzs08zz6CI= 5nhzU08RxAJwKCMTheAGIpwDHhJZAMRZhAAAfoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgpwJ7oEwAAAnDGYZgMEZTDC52QK4655q+qGEwzlAYD= KYSYBjMehGREczwC2qe3nj7HIccAInDIBiLwnAJwjIBicLwgIKkwCcHCgPuAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOAEwkwKSCAgo4qp608s= 657OHHwJhJSWRwKx4RlwnAMeGVuniOfSRHayAOABBU4AABJhGQDEXhASUZJMAnBwqA+0AAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJ445Vj= X2iYYTzyjJOBWPBwoDEmF4POBTCgCcIyAYi8IAnCgIKnACKAnCMkQQ4ZU0zVVEQ5vB0ehRmAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABMse= FnvBGMwkwzSYDLBJhnMJwKxWIAE4FAQJAE4UBOEZJwCC8IBwigIkspgopmqrjzA5LNPEcz3y5Of= qAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= ABJVJAAAAEwJMKAxmE4ZpwKwFmAEOABOOBTgEAASYUBiMkmARzW6eI+1x245q+qHNAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgnHCn3= ggqcCgAAAgnCgMOEZpMCsRZhACYAEFSYABlbjmeQZ0xxCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJg4SVAQAXIAGAATCJMMgMs= OEZ8JMCsRZQDjlyUxxHEJRHnZAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACJMCgIHCCqAAAInCcdrIgFAFAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAO04ARBUDIAKR2qQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHHaAmAAUAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAmU5fkbu3Hpe19LjU9YvV2cTwlNublNE19WZ7uYjt4= YbZ3PoW5sa5f0LU7ObTa4i5FHMVUc88cxMRMd09/oa5dfp9WPZiblMVenPu/a5OWq1vpe3roOu5= +PGfb1DGt5VyKbWXR1uIiueyKo4q7vrbI7M1ivX9radrNePGPVmY9N2bcVdaKZnzc+d6dVobumi= Kqu0vNptbb1EzTT3h+z5uSJ5dO6Yd31bI2Hm63Zooryommzi0V/szdqniOfTERzPHn4eDbL0bpw= 6QdMr3HibvvYWLeuTFqq/m3LNN3iZiZoot0zEUxMTHdH1PI9jarkeG5WD0j7J6MLtOq9IGlYesX= dXpqt6hm3671qLE2uPBc3LVUxVNVMzx1fv8z07B3Fp+kbJ0nVNzbg06nwuHZm7m1XIotZFybcTN= VHMRzFU8zEREdnmgHZB1XTekXY+pVZFOBuXAyJxsevJvRRXM9S1RHNVc9ndEPmp6VejqqqKY3fp= fMzx23Jj/kDuY+LK1fS8XSf5WydRxLWn+Di541Xdpi11Z7qutzxxPMPwNN6SNi6nqFjTsDc+n5G= Xfri3atUVzM11T3RHYDtg8p6LN1alas7l1DeG/ND1jBwq7c0V4nERiUzVXExc4tUds/Jj/O7pdl= sdKXR5evUWqN36V1q54jrXurH889kA7iJTVTXTFVMxVTMcxMd0qAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADy/wCE5+7G5/F2v= +bqXwR+7c3/AA3/ALrtvwnP3Y3P4u1/XLqXwRv2dzf8L/7r7Vr7sq+v+HxLv3jT9Hie5P8AKHUv= 4u7/AG5be9EP7sdv/wADR/U1C3J/lFqX8Xd/ty296If3Zbf/AIGj+p6uNfYW/wB/Dz8H+3ufv5d= D+GBjX7/Rfi3bVM1UY+qWrl3jzUzbuUxP4qoj73Yvg46jg53RFotvEv267mLbqs37dNUTVbriur= sqjzc9/wBku5bm0TT9x6Fl6LqtiL2Hl25ouU88THniYnzTE8TE+mHgWb8GOvxu7Vp28PB48zzRT= ew5muI9EzFcRP28R9kPzb9G7V8MCf8Awtxv9q2v7u68d6UMvJzNf2Fpl/TsnVMTH29p82sC1VVE= 5M1URNUR1YmeZ4insjn5L1ijoLyqejC9s6rc1mq7c1enUIyZxZ4iItdTqdXrffzz9z9je3Q1i7k= 0Lb1q1rN7Tta0TBs4lrOtW+YrptxHHNPWiY7YmYmKuznzivP9sY2NOi7xrp6KMzaVdvbGfNObeu= ZExXPUiPB/4SIjmYmZ9PyX42wdibY1b4PmvbozdPmvV8SMmbORF2uJp6lFM09kTxPb9T1HQeine= GLa1bH1jpFzNWxtQ0vJwabN6m5VTRVdo6sXOJrmJ47X6u0+jK/oXRJquxatYt37mfF+IyosTTFH= hKYj9nrdvHHpEa769m5eR0NbD0i7l3KMK/qGb4Tmrsjq3KIp/m8JXx9rZTbnQ/sHRM7C1LT9Gqp= zMOqm5avVZFyqrrR3VTHW45+516joP0/J6LsTZ+p6rNzKwsi7kY2fZs9WaJrntiaJmeae7mOY7o= 7YfPszoh3hoGv6Zm3ekjPzMDCvUVThzF2mi5RT/mcTcmIjj6uAeadE2p6JpG0OkrL3Fg1ahp/hs= eivFprmnw1U3LvVp5ieYjrcdvoj7nXN3VafnbOu52n9EWZodiuKLlrVqb+RctUUzVEd9VPVmKu7= v75h7hoHQZbxNu7o0XUtc8Yt65ctXbdyzj9SrHrt1VVUzxNU9btqj0d0+l+Fe6BN23dH/kW50l5= NemRTFEYlVi5NrqxMTEdXwnHETEcfYD0noAy8jN6H9u5GVdqu3IxqrfWq7+rRcqopj7qaYj7ne3= XOjPbde0Nkadty5l05dWFTXTN6mjqRX1q6qu7meP2uHYwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAeX/Cc/djc/i7X9cupfBH/= AGdzf8L/AO67b8Jz92Nz+Ltf1y6l8Ef9nc3/AA3/ALr7Vr7sq+v+HxL33lT9Hie5P8otS/i7v9u= W3vRD+7Hb/wDA0f1NQtyf5Q6l/F3f7ctvOiGf/DHb38DR/U9XGvsLf7+Hn4P9vc/fy7NnV1W8DI= uUTxVTaqmJ9ExDVLYm6OnPe3js7d12rIjCqoi914x7fV6/W6v7VMc/sy2r1P8AxZlf6mv+zLX34= Fn/AJW7P9Zi/wBV5+bfo4fNsTpR37t3pKs7Q6RqvC05N2ixVNy3RFdmqv8AYrpqojiqiZmOe/7u= Jeoba1nduT0raxpeoZej16FZornFtWL9qrJpmJp469EVdaI7Z74jzPFfhN128zp10jGwZivJoxs= WzXFM9sXJvVzEfbxVT/PD7sXUcnSOnLpL1PDq6uTi6TmXbVXHPFcRb4nj6pBsVnbk2/p+TVjZ+u= 6Xi3qe+3ey6KKo+2Jnl1rpG3RmfE69n7G1nQr+ZayLdFV29mWvA0xPPMTVNUUxPojl4r0KdFW39= 77JzN0biy9QyM25lXojwd+Kf2YieapmJmapmZnnn0OmaHER8H/c9Md0a3iR/wCmoHs/TdvzXdv9= F+3snA17Dxdx5FePVmU4tdq51qarNc11Ux2xNE1xHFUdnd2vS9qbq0jM2liajka7p1ybWJYqzbv= jNHFquumP25ieKZmrmO3jta9dN+29Lt9C+yN1027n8qXMPAwaq+vPV8F4tXXx1e7nmO93bL2z0d= 7G6FcnM1TEzq8PW8bCqy7Nq/M3L92ni5RTRM9lPbNUz9UT9gPXMfde2Mm/RYxtxaReu1zxTRRmW= 6qqp9ERE9rzLpX3duLSOmnZ+habqdzH03Pmz4zYiimYuda9NM8zMcx2dnZLwLeU7Mu7fjJ27s3c= ek3+vTVby8nIm5Zqp9Hd5+Y4mJ9DvWtZuVqO/uh/Nzb1V/Iu4GFNy5VPNVc+GmOZnzzPpBtTAQA= AAAAAAD8PfG4MbbW28rVL/wAqqinq2aP9O5P7Mf8AOfqiXgHlU33zP/xqI+rxWz7gNmxrJ5VN9+= u49ks+4eVTffruPZLPuLgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367= j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyq= b79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+= /XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsay= eVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHl= U3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbN= jWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9= w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcM= DZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZ= LPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz= 7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79d= x7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/Xce= yWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTf= fruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU336= 7j2Sz7hgbNgIAAAAPL/hOfuxufxdr+uXSfgp52FiVbioyszHsVXZxvBxduxTNXHheeOe/vh7zq+= mafq2L4pqeFj5mP1oqm3eoiqnmO6eJfkVbE2ZMdu19In/AISj9Hvt6ymnTTYmO85y+dd0lVWpi9= E9vhrruLok31d1LNzsTSrWXYu37lymbWVb5mmapmOyZh6F0e9It3auiYW3t57c1TR7WHbps282r= Hrm3VEeers7Pu5ek2NlbYxuZw9IsYcz3zi1VWZ/nomJc8bdtW4mnG1LU7duqOKrdzInIoqj0cXe= t2fZw6XuIc+iKLsZiP0Ys6CbNc125xMvtsZeJrGj13tOy7GTZv2qot3bdcVUzzHHfDWvTPg/9JG= mzd/k3dmmYXhJia/F8zIt9bjnjnq0RzxzP873jE2dj6ZkXM3Rb9Om5NUzM02LfVsXezs8Ja56sz= /81PVn63Z8abk2om7TTTc4+VFM8xz9T51WM+z6VE1Y93h3RZ0E39A3RZ3LurWLWpZuPc8LZs2Yq= qo8J5q6q6+2qY74jiO2Inme5+3onRdnWeljc259Uv4ORpGtY17H8Woqr8L1bnU5ir5MRHZTPdPn= etJMcstNVq9nZ+1bmda2X0y6BjaZc5uV2bupRbrniJ7Jpp60TPHZzHHPofN0PbM1Pe/Q9uLR9Ov= 41i7d1excpu5E1RRPUo5qj5MTPPyo8z2SvoG6Na7lVyrRsiaqp5n/AL7e7/xO97b0DSNt6Ta0nR= MG1hYdrnq26OZ5nzzMz2zP1zMyK6HvXozydzdD2jbNuZ9jH1DS7ONNF6Imq1VdtWptzE9kT1Ziq= rt457ux1ux0R7y1Xo+z9r7t3VjZUW6sevSK7XWuU4824rpmmrmmmZiYqpjvmY4+rt7rujU83P3n= Z0rCuX7GNptrwmfNNVdEVTdpmLcxNMTz1erNXFUxEzMejs65rd/eutZ1i9GHrODHgZt0049FVvw= XhOrz1p5+XVT16O2eI5t3PNPLtRYmr5eeq/jtDquq9EfTBqm3adu5+9tIyNLt00UU49ddziIo46= kcxa57OI879+50Sa/Xruws/wAf0zwe3MbHs5Udevm5Nu5NUzR8ntjifPw7Bcyt5YOhYFjBwL1zx= m1NNyK4u1XLHWimmOZqmaoqpmvv7qot1TERzD6NG1HdOu61gWNS0vK0/CouU5VdUW6rfbFuKvBV= VTPyoiq5THPEczbq7OJ7HJnGcrzo7YeiUqlKuLsAAAAJVPCuidM27I25tmbGLd6uo5vNux1Z4qt= 0/wCdX90dkfXMegHlXTduyNwbknT8S51sDT5mimY7q7ndVV/RxH2c+d5+faKACgAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADdABkAAAADgAODgAOCIi= O4AAAAAfLXp2Bczac65hY9WVTTFNN6bUTXERPPEVd/D6erT6FBMJ1Y9BFMQoKAAAAATPAOLMyLG= Li3cnIuU27Vqia66qp7KaYjmZaqdIG5L26dzZGp1zVFjnqY1uf8AMtx3R9s98/XL0/4Qe6/A41G= 18K5/hL0RczJj/No76aPv75+qI9LxBYABQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAABugAyAAAAAAAAAAAAAAAAAAAAAADG5+yANXemD94+sf62n+= xS6mCgAoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAA//9k=3D" width=3D"793" height=3D"1121" alt=3D"" style=3D"margin-left:-1p= t; position:absolute" /><img src=3D"data:image/jpeg;base64,/9j/4AAQSkZ= JRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBA= QEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAAbAE0DASIAAhEBAxEB= /8QAGwAAAQUBAQAAAAAAAAAAAAAABwUGCAkKAgT/xAApEAABBAMAAQQCAgIDAAAAAAAFAwQGBwE= CCAkREhMUABUKFiEiGCUy/8QAFwEAAwEAAAAAAAAAAAAAAAAAAAECA//EACkRAQACAAYBAwMFAQ= AAAAAAAAECEQASITFBUQNxkfATImEygaHB8dH/2gAMAwEAAhEDEQA/ALAbx6gFUHCruua3rKsFM= MDvK/BjZu2mcwdmDZDW+LBBRGGRYS3M6bOyDrRuPBR8MxTTQatUEUk9Go5nvujzW3N/m+6DizK0= o6FqbmeLnGqRiK1tedm26ftJ0HdJ4cMNZg3jZduPhxR033S3cDFMvXg7ffZF4gi4TUQ1DjUFHp9= 5X/HtX1jtGj+vMdg+QCyRAYpjTcPIbgrE/dUprRB6grn4FnkcMMk5QE13122/asENE9d9lM6ZcD= 3yLdzI0R2hNAl83CT7Urt/ZDeV8go8yOCkS5trYN0fXsL2s8JJW8FS+6+iVIF5XN443LyCQNp+m= OeGmjF21EKI75QhG5S1Va1V6/c29TGEPGOaaqynLmVVZ0n5DeivTHcTv/oqsb6R5H7biswo6/zA= R/JqzMArSmcgqO9I6I2/7l9WUpWKtt1ioVPbRcvGSCSRhmh7190fj11yoSWJnproe4bApHmWTvI= 8ypSLBZX0HfVjy+ekINWmZQyfFYrBQQNjJWDmY2KcCMFpAuLw/Yj4+Eci3pV3osWHN1mF5GZrA7= Y8aNMXvGulpv1VN6i8idFo863tPapzVUrLE5OeZx2YQmOqpxeHpS6OrRAhJ3hMoNE5HkHUc0YPf= sPY5ndB78/T6q4QO8jXAnQBpKuMd1OJVcHPFklXbIKIs0zJaNhVYyylxUkKbIimtiRArWwwuCjT= 9ym5PBZfs5EJqrNXSP4EIxnu/cLlWyzLw+51V+k/SieWm0lBlWaVWINFrrduv8XgftJJ1jV1HVv= 1jM7KK3NyzOZElFJjJGidg1PbVEE3koViI0xY0FdziRMlYo8K/RWXfJP2bwWFLhzLhtuye/Lp4Z= l0nI5b0Xjk+sOi67qGaBq2dW9Zln37c8hDRWBwJogs9xkPH1pgJfTGSKjGrs45HNXrVsGjzfcyT= X0bKoZ3APKsIiPEfgmeePSS5Jp9w972bcZUnz2SeiSk4rlmYsJhVyNlyEKIcO14pXounKlhk+SO= G9m6T82a2RGLrOHCLNKQEAhXKzqy+v8AmbsOrqIlqnW4qt57yjL+icaAa4K27X1QDKoJVgpZSOi= JuEyfdyAFycQmDKMCxYWXL6CcPXbdZv8AhljnC6qN5RDkD8/7d4bCB5IRuhtY5mmq4sdSzfbCGP= uO44dSy/W4XqSOdh8fxmfK17c9h1i9sWBz2jHO0n/q7SdyOJuZiabG63cOXIo8qTaKtSDWEGB0t= y2WH7OstyXOLWuKVTKa11T1hsYKIp6t07h6S6LuGxZ3pU9BVw51eKBnBFgOkCL+Uy6TpCyboJH2= jlsjoOYOHzt1jZRk2dxFuvPcPOXJ9wcqZ6Fqo4968aTzmioPHdI5Nv0TYcBqGVR4hUhu3x12JZZ= y6PxCFi/t2XGSVgJEhI6JtI4D2cInd8M2xUBs4PXAHsnjW3Fa70U7RgNGlucZbeshMwqoLJtujG= IRq7o2cT8SQFbxM0fzFhRuItXxRFscWIk09ESe7RYU/piZxXcdO6y+9b/5gfH4zyRjdXGX25nVM= tCK8Mni67MeOM9GWI3gkxvSuevYx2vR1Rrx9XohjBGVzUzdlHxOULKIjLWVgM2O4cS2tNMprOnZ= Vog2zqIbuSLN07+i7R10HeLWVGpMn0u1eSo/IwY6wK9fRz9wfJyBJk2PVXHXbvIpwYdPlWrIhug= i+2bNlE2m7lRd5hHDh04VVoL6GmthjrX6E6Cv2CVXTF59F8AN/HFzHxTVNsxa47Cswkdlw6Snbq= mOYcq5YgK6r9qL1RZHjCnwiophdu9eNyWGg97dz4co+tE490FFnK/2nEbNUkBXc+u2cOFxFKxwe= strnbGNs6qqN9t9c5xjOdc49cev4yo+SKB+mWxVbb12aGnBi4wgebxxrRjNYqpplRpdxd8YfLn8= j7Cddx9D8v29KRnOz6hO4b8kfLPUcc0dfs6pt6HdDT4jGy01TWV2bLRQ5ursHkGc4SHJs1vcV1w= Owuu31HVX51OrYRChQK+vHVP7qm2g9m3Y2/ypOIJKams7OqOmjWTN9Cb5uTiTQtrjV2okRw4bMs= Lb6Jb7I667Zx8d28w0aZ7f7IMEoP8AYIleqehCRBxiSy9D7D19bcudOl/hbn0kEsquFVFPjRSTS= 093tT000xrrgZxSFMYAJ3AweR2dEAm+m+mREbuO2gw3Gu+ce/2MR81QbJ529c+uyaeu2fXP+fxh= W2h13t3eKp3jVNNN6e3Zv+e8XG+VDyg2VLJXAL769GQytlqaIPpVyF4+4zLh01Oa2a7HOBjG8eg= zwPfA9vvFxzp6lHGDVPVBsu9dNhqi7h0R11hBzj5KeufJO9sWn1Kh5OKB4dCmE7NCrXjsvPAiiT= 2ewyuhDFiPFi5KvkqtI5yFxo6UZoIMmmrt2q8SwjjXeAZfmelz5B0XOxUiaKvVdlnhMtN58RIO1= tv/AEq5ePJQs4XU29Meu6qm22fT/Ofwl0/AYzRBY6cqJEvBS0kCpRw29ESmU7KkAyRoVI27RXD0= y7T02ZyAAENMXSOiTxgUFMXzNwg5bpqajEUUFNn5898GSK5pBKXb1pxtxg82F3r0B4843AZZG6E= 4fizS/GDyRQzepB7/AAamMIDNxjF9MCmG6LMkOBDZ3tKaq3YSDdkUTsOs7FD6CsJRvd85enP3ks= 7b8kGLCqePUFyzPUYtHBUmMwuxGBR63PjnskGR5XUGLeakUipQQkRWPOWaOmj79KLKOGOrhyho2= VhXMaSrifN4k0mYkxJW8Fj5CLRBMtNJu6wAjxWay6xiQphtvI/fo1fTmeTGUOdd9t91S8iJudt8= 5X9NV2rawiNMF8yKqdJJADuXgF/+3jE6nQx/h5GTjORgXGrlCSYV1UFnB7Mk1zrtj2uW+mdsba+= 7XM5IXeUvv56YX0vHd5I2c1rx/wAMSGsLvK7PHu2RUjlJ8PRGeHcif7fC6wikxHTAGIkYnSSwwg= fOLR8WDKDpJHV2RtmzDyQquLSetUCrNg9wogi4OffK71p5AJHKqKWqrlR8xRhD+Yv4/ZwaSn2Eq= QHHY6CRj0aiTBnITEvlaz6SsyDYIEDviqQQaeON0FEwy+uY6WHG2VsRYDCbHISqYxWNkHhIMGNT= eZuG7R883Wyo4331P6OHe6WrhdFlh6s51GtllGo/Vq23yllCqisIZSZ97J6sYk4abJiVQBJ4NlE= qW1IB1iA0v9B60fmnjJ0igYDhzLLK7ZTdgZECy7HduRHM3KLyR00NNTDfHBczEs0Hn5pg6T7ubp= 3x5x+qLAZ8gcm1mn0FGjhYUQhMLNBjaGI0WQYkYrJ13TMWSYlUGD2OSNQFsptq2ESEGq8SbPt1W= rfXr/Fu67nvbvPHWd12GHj8dkX/ACIARHZhGk3Wo3LIDUkNWar41drKrYXUySVwr/v7c4109uMe= mfXFvacXZ3SNbjLaMTexB7A44kg9nLbGsA0gNNvhYwG+IDU3kmUwOVfCw4tq+0ZfAi8+g2WcpKu= EtVfzZ5/FUraF1lyF0YLhAbIRiR6Ry/eIYJFiXzO8VjBm+FflLP36yfoiknp8aSmiX+vu9nvztt= kyR3ovDIRi5gpqr5r+sf/Z" width=3D"77" height=3D"27" alt=3D"" style=3D"margin= -left:441.05pt; position:absolute" /><svg font-family=3D"Times= New Roman" font-size=3D"16" height=3D"16" version=3D"1.1" width=3D"415.95"= xmlns=3D"http://www.w3.org/2000/svg" style=3D"width:415.95px; height:16px;= font-family:'Times New Roman'; font-size:16px" xmlns:xlink=3D"http://www.w= 3.org/1999/xlink"><defs /><g transform=3D"translate(0.1,0)"><g><path d=3D"M= 414.8,0 L3.28,0 L3.28,0 L2.64,0 L2.64,0 L0,0 L0,0 L0,0.64 L0,0.64 L2.64,0.6= 4 L2.64,0.64 L3.28,0.64 L3.28,0.64 L414.8,0.64 L414.8,0.64 L414.8,0 Z" fill= =3D"#000000" fill-rule=3D"evenodd" /></g></g></svg><svg font-family=3D"Times New Roman" font-size=3D"16" height=3D= "16" version=3D"1.1" width=3D"415.95" xmlns=3D"http://www.w3.org/2000/svg" = style=3D"width:415.95px; height:16px; font-family:'Times New Roman'; font-s= ize:16px" xmlns:xlink=3D"http://www.w3.org/1999/xlink"><defs /><g transform= =3D"translate(0.12,0)"><g><path d=3D"M415.7586,0 L0,0 L0,0 L0,0.6412598 L0,= 0.6412598 L415.7586,0.6412598 L415.7586,0.6412598 L415.7586,0 Z" fill=3D"#0= 00000" fill-rule=3D"evenodd" /></g></g></svg>= <svg font-family=3D"Times New Roman" font-size=3D"16" height=3D"41.33= " version=3D"1.1" width=3D"209.31" xmlns=3D"http://www.w3.org/2000/svg" sty= le=3D"width:209.31px; height:41.33px; font-family:'Times New Roman'; font-s= ize:16px" xmlns:xlink=3D"http://www.w3.org/1999/xlink"><defs /><g><g><path = d=3D"M0,0 L209,0 L209,0 L209,41 L209,41 L0,41 Z" fill=3D"#7c7c7c" fill-rule= =3D"evenodd" /></g></g></svg><a href=3D"http:= //www.anatomiadigital.org/" style=3D"text-decoration:none">www.anatomiadigital.org</a= >ISSN= : 2697-3391Vol. 8 No. 2.1,<s= pan class=3D"awspan" style=3D"letter-spacing:-0.2pt; color:#ffffff"> </span= >pp. 19 =E2=80=93 33, abril= - mayo 2025 Revista en ciencias m=C3=A9dicas, salud p=C3= =BAblica Art=C3=ADculo de revisi=C3=B3n bibliogr=C3=A1fica.Conclusi=C3= =B3n. Se evidencia= da=C3=B1o de los nervios </sp= an>ciliados que genera una </spa= n>p=C3=A9rdida auditiva<span= class=3D"awspan" style=3D"letter-spacing:3.25pt"> neurosensorial demostrado en roedor= es <spa= n class=3D"awspan">como en humanos,<= span class=3D"awspan" style=3D"letter-spacing:3.3pt"> se </= span>resalta la impo= rtancia </span= >de determinar los tipos </span= >de facturas del</= span> hueso temporal que genere= n <spa= n class=3D"awspan">peor pron=C3=B3stico = que <s= pan class=3D"awspan">permita ampliar el</= span> panorama en el momento de la intervenci=C3= =B3n.=C3=81rea de estudio general: Medic= ina Humana =C3=81r= ea de= = estudio<spa= n class=3D"awspan" style=3D"font-weight:bold; letter-spacing:-0.45pt"> </sp= an>espec=C3=ADfica:</span= >= Otorrinolaringolog=C3=ADa Tipo de estudio:</spa= n> Revisi= =C3=B3n Bibliogr=C3=A1ficaKeywords:<= p class=3D"awdiv">AbstractHearing loss, HeadIntroduction. The </spa= n>human capability to <s= pan class=3D"awspan">perceive and interprettrauma, Hearing,sound= is given by a = set of structures</= span> such as the ear, </span= >theNoise, Tinnitus.brainstem and the brain. </sp= an>Hearing loss = following </= span>craniocerebral<= /span>trauma, with </sp= an>the middle ear= <span= class=3D"awspan">or cochlea being</spa= n> the most affected,often </span= >goes unnoticed; = primary </span= >audiological deficit does = notonly appear<sp= an class=3D"awspan" style=3D"letter-spacing:0.45pt"> as </s= pan>a result of</spa= n> direct trauma to the <= span class=3D"awspan">inner or middleear, </sp= an>as occurs in<s= pan class=3D"awspan" style=3D"letter-spacing:1.95pt"> skull base fractures = or tears of the centralneural pathways. In the = case of early secondary injury,<= span class=3D"awspan" style=3D"letter-spacing:-0.05pt"> there is</sp= an>an increa= se <sp= an class=3D"awspan">in intracranial press= ure <s= pan class=3D"awspan">in response to= hematomas,hemorrhages or<sp= an class=3D"awspan" style=3D"letter-spacing:0.2pt"> diffuse axonal degeneration.</sp= an> The incidence ofp= ost-traumatic= hearing loss occurs <= /span>in approximately 5-10% </s= pan>of<p= class=3D"awdiv">cases of<sp= an class=3D"awspan" style=3D"letter-spacing:1.1pt"> hearing loss, the = age <sp= an class=3D"awspan">group most affected</span= > are young</span= >people, esp= ecially </spa= n>those who practic= e <spa= n class=3D"awspan">sports or participate</= span> inrisky activities, in <= span class=3D"awspan">addition, workers exposed= <span= class=3D"awspan">to very loudnoi= ses <s= pan class=3D"awspan">and physical injur= ies. <= span class=3D"awspan" style=3D"font-weight:bold">Objective. <sp= an class=3D"awspan">To analyze the</span= > impactof cranial = trauma = on the auditory</sp= an> system and its relationshipwith hearing los= s <span= class=3D"awspan">determined by diagnosti= c <span= class=3D"awspan">tools and earlyintervention.Methodology.<spa= n class=3D"awspan" style=3D"letter-spacing:-0.1pt">Originalstudies,clinical= investigations,= meta-analyses published during<= /span> the five years(= 2020-2024) </= span>with emphasis o= n <span= class=3D"awspan">the diagnosis and<= span class=3D"awspan" style=3D"letter-spacing:0.35pt"> managementof hearing loss </span= >due to head<= span class=3D"awspan" style=3D"letter-spacing:2.85pt"> trauma are included.<s= pan class=3D"awspan" style=3D"letter-spacing:2.9pt"> Results.</= p>Cranioencephalic = trauma<s= pan class=3D"awspan" style=3D"letter-spacing:2.9pt"> <sp= an class=3D"awspan">(TBI) has significant= effects <= /p>on= hearing, which</= span> is evidenced in<s= pan class=3D"awspan" style=3D"letter-spacing:-0.3pt"> several studies. On<spa= n class=3D"awspan" style=3D"letter-spacing:-0.25pt"> one = hand, inmice </sp= an>it shows that</= span> repetitive mild TBI</spa= n> can cause early<spa= n class=3D"awspan" style=3D"letter-spacing:-0.4pt"> neuronaldamage<span= class=3D"awspan" style=3D"letter-spacing:-0.35pt"> although it = does <= span class=3D"awspan" style=3D"letter-spacing:-0.1pt">not directly affect hai= r <sp= an class=3D"awspan" style=3D"letter-spacing:-0.1pt">cells, but causesdege= neration </sp= an>of the spiral</s= pan> ganglion. An accurate</span= > evaluation of<= /span>hearing loss = and exposure histo= ry <sp= an class=3D"awspan">are essential for</sp= an> successfultreatment of<span= class=3D"awspan" style=3D"letter-spacing:1.65pt"> hearing= loss after = TBI. <= span class=3D"awspan">Studies agree that</s= pan> earlyintervention is vital <= /span>to prevent = progression <= /span>to chronic deafness.Esta revista <spa= n class=3D"awspan" style=3D"font-size:8pt; font-style:italic">est=C3=A1</sp= an> protegida bajo </sp= an>una</s= pan> licencia Creative = Co= mmons en la </s= pan>4.0</= span> International. Copia de la licencia: </spa= n><a href=3D"http://creativecommons.org/licenses/by-nc-sa/4.0/" style=3D"te= xt-decoration:none"></a><a h= ref=3D"http://creativecommons.org/licenses/by-nc-sa/4.0/" style=3D"text-dec= oration:none">http://creativecommons.o= rg/licenses/by-nc-sa/4.0/</a>D = i a g n =C3=B3 </s= pan>s t</sp= an> i c <= /span>o M =C3=A9<s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-s= pacing:0.45pt; color:#ffffff"> d</spa= n> i c</spa= n> o<= /span>P = =C3=A1 g i n a </sp= an>21 | 33<svg font-famil= y=3D"Times New Roman" font-size=3D"16" height=3D"16" version=3D"1.1" width= =3D"411.95" xmlns=3D"http://www.w3.org/2000/svg" style=3D"width:411.95px; h= eight:16px; font-family:'Times New Roman'; font-size:16px" xmlns:xlink=3D"h= ttp://www.w3.org/1999/xlink"><defs /><g><g><path d=3D"M412.1587,0 L0,0 L0,0= L0,0.6412598 L0,0.6412598 L412.1587,0.6412598 L412.1587,0.6412598 L412.158= 7,0 Z" fill=3D"#000000" fill-rule=3D"evenodd" /></g></g></svg><p= class=3D"awdiv"><img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgA= AD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFhwXExQaFRERGCEYGh0d= Hx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4= eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCARhAxkDASIAAhEBAxEB/8QAHAABAQACAw= EBAAAAAAAAAAAAAAECCAMGBwQF/8QAWBABAAEDAwAECAsDBgsGAwkAAAECAwQFBhEHEiExExQXQ= VFVlNIIFiJUVmFxgZKT0TI3dBWRobGysyM1NkJSc3WChMHTGCQnM6LDJWJyJkNFRmOjwuHw/8QA= GwEBAQEBAQEBAQAAAAAAAAAAAAECAwQFBgf/xAA1EQEAAQMCBQMBBgUEAwAAAAAAAQIDEQRSBRM= UMZESIUFxMzVRYYHwFSJCodEGIzKxNMHh/9oADAMBAAIRAxEAPwDpoD+lPxQANEosoAAECSqSLK= AKgAkkJPeE94pIACT3Is9yAABAkqkiysBAIkosoKkrHckrHcqACCSEiwACglXmVKvMCEhIIAKAJ= JAAQsJKLKKSACD9HDteCt8z+1V2y+XCtde51qo+TT/W/RYmWK5+BjPeyYz3sswANKAAJKpIAAAD= IAKgAqsZCQPgAlCEqnsYkiNQkosoKMZ7e1ap8zGGKpy1TAksuWNTDeQFpjsIgmQWYRqUhJ7wnvA= AASUVBRJUnu5QYVT5mE9yzPM8pPc5z7ukIkwqpgliLKfZ2osLTT1qo9Dk+5KY6sfWy5daacQ5VV= e76AHocAAaJRZQAAIElUkhZQBUB9uBpebm4OdnY9masbAt03Mi5PZFMVVRTTH2zM931T6Hb+jro= s17fGi3tV0vO02xZs5E4805FdcVTVFNNUzHVpmOPlR/S897VWrNM1VziOzrbs13JxTDoU96PY5+= DxvD1tof5t3/AKZ/2eN3+ttD/Nu/9N5f4tpN7t0N/a8cOXreV8H/AHxZpmbWTo2R6KaMiuJn8VE= Q6JuzZe59rXONc0jIxrfPEXojr2pnzcV08xz9XPLva12nvTiiuJlzr0123GaqXX57kWe5HrcAAI= ElUkVYAESUWU5gWElY7klY7lQAQSQkWAAUEq8ypV5gQkJBABQBJIACFhJRZRSRaYmqqKYjmZ7kf= ZgWv/vao+qlJnDMziH02aIt24pjzd7MHNyGM97JjPeLAA0oAAkqkgAAAMgAqACqxkJA+BJWUSSE= lJhkiNMZRlLCe/hJnCwkx28oyYzDm3EiSqSKR3s0pjiFVBOFFGEwMp704BAQCUVEX4GFc89jKZ4= hxpVKwhCjnhtAEBaKeZ59COWmOIappzOSZSUZVMeJdXPD6QHVxABolFlAAAgSVSSFlHPp2Hlajq= GPgYVmq/k5FyLdq3T31VTPEQ4GxXwZ9gzh4kby1SzHh8imY0+irvotz2Tc+qau6Pq+15Nfq6dLa= mue/wAO+msTfuRTD6N57OxdlfB71LTbc03MqvwNzLvRH/mXJuUc9v8Aox3R/wD3L7fgm/u6zv8A= a1z+6tP3/hDTHkk1iP8AVf3tL8D4Jv7us7/a1z+6tPy1Vyq5oaqqu81f+n26aIo1VNMfg9T1vVc= DRdMvanqeTTjYlmIm5dqiZinmYiO765h1WOljo9nj/wC02L+Cv3XF0/8A7pNc/wBXb/vaGnTpwz= hlGstzVVMxiWdbra7FcU0w3m0Ddm29fqmjR9bwc2umOardq9E1xHpmnv4+5+nnYuNnYl3GzLFvI= x7tM03LdymKqao9ExPe0MxMnIw8q3lYl65Yv2qoqt3LdXVqpmO6Yluf0S7hvbo6P9L1fJqpqyq7= c28iYjjm5RVNMzx5ueOfvcuI8MnR4rpnMNaTWRqM01R7tcOnfYNGy9ft39Opq/kjP5qsRM8zarj= 9qiZ9HbEx9U/VMvN23PwktMtZ/RVnXqrcVXMK7ayLc+emetFM/wDpqlqfpUzTqeLNNm1fmL1HFu= 9zNFfyo7KuO3ifPw/QcJ1VV/TZq7x7Pl66zFu9iO0vedP6O8Kvoyo29XoVVWu5GlVanGp+Kz1aL= vXiqjH8Jx2VdXsmOfNM+d0jb3Rxo2dtjb+rapum9p97XMivGxrNOnzdiLkXJoiJqiuO/iPNHe9K= ubc6b691U6/Tq2k0RExP8n05t6MTiKerx4P0T39/f2vl1HY3ShmWtIteKbUsW9J1CvPxrdm7din= wlVybk0zz/m8zMREcdnnfJt6qujMc2Pec9/r7f9PbVYpn+ifb2dH0Dojrz8/VsHLz9Qt3NPz6sT= wuPp/hbVcRETFXWmunie3mae3jsfp6T0c7Z0zTd9YW48+u5l6NNiLeXasVT4CiunrU3Ioiviqau= eJpnu6vf2ubeWsdJG0IzLm5Ns6Jm6fnZ3jkVXLNV6xavcRT8maa4mn7Kvr4878nae6N+7n3BuTU= 9I21pesRqduxTqWHctc2OKKerbmIqrie6mrzz5/q49M16u7RNfrj0+3aY/JyxZomKfT7vjwejrQ= 6NO0S/rW6b2De1+5VTptu3gzcjq9aIoruT1o463NPZ5ut9U8fTp3RRh0xkU63uSvBu29bjR7UWc= KbsXblUUzRVz1o4iet9z5r2+Nz7UvWdC1vbeiXcrSrs3cOnMx+vXhTX8uIommrjiOYmO/js9Ecf= i0dIm4PFqbV+nEya41mjWartyietXfpiOIniYjqdndERPomHoijX1xmmr2+sf2/RxmrTU94di3H= 0V4Gn2cy5p25pz69O1CxhZ1m5gzamibtVMRMT1pir9qP1fqal0c0a/u/WsOa68K1pVy3i0fyZpE= eBqiaIq5nm5z1uZ7eZqn6+50zL6SNcyKtXm5i6fH8rZtnMv8AFuv5NdqYmmKfldkT1Y555+52La= 28d87o1DW7OnbY0fXIzr1Gbk4l6zM27VcUxRFVPNcT3RHfM/c5XLeuop9VVXb5zHzhuivTVTiI7= uldI21ruzt15GhXcujL8FTRXRepo6nWpqjmPk8zxP3y69Hc7V0sZu4s/eV+/ujTLGnal4K3TVYs= xxTTTFPyZ/aq831v1dS6JN1afs+rdF+5p04NONTkzFN6qa+pVETHZ1e/tjzvqWtTTRao51UZn+7= x12Zqrq9Ee0OgAPY86SEuy9H+ydY3vn5OFo1eLTdx7UXa/D3Jpjjnjs4iWLl2i1TNVc4iG6KKq5= imnu60P2d6ba1HaWv3dF1WbE5NqimqqbNc1U8VRzHbMR6X4zVFdNymKqZzEs1UzTOJEq8ypV5m0= QkJBABQBJIACFhJRZRRnZom7ciiPv8AsfqUxFNMUx2RHY4cK14O11pj5VTnYqlyqnMgDLIxnvZM= Z7xYAGlAAElUkAAABkAFQAVWMhJIfCSIqSsAIglUsOGVU9qcszLpEIKkwipwcKSQSACZABUnvRZ= 70CA4AVEmGTGqeIQYVT2sPOySYYlqEARUAjtngwZZW457XIkRxHBzx3ukRhMkosoqPoAdXAAGiU= WUAACBJV9eiaXm61q+LpWnWpu5WTci3bpj0z559ER2zM+aIZqqimJqntDURMziHcOhLYte9N00+= M0VRpOFMXMuru6/+jbifTV/VE/U2+tWrdm1TatUxRboiKaaaY4imI7oh1/o72rh7P2xjaNh/Kmj= 5d+757tyf2qv+UeiIiHYrlNU0TFM8Tx2TL8NxHWzqr2fiOz9NpNPFi3j5+XgXwot60xTRsvAuc1= VdW9n1R5o76Lf/wDKf93637/wTv3dZ/8Ata5/dWnUel3oks6Lt/Vt3X9w5efmeEi7cpuWaaYrqr= riJ7Yns/adu+Cb+7rP/wBrXP7q09t+bP8ADoi1Off3+rzWuZ1ea/wdl6f/AN0euf8A0W/72hpy3= F6f/wB0muR/8lv+9oadPof6f+xq+rycV+0j6Daj4LMV+TOvr89X+ULvU+zq0f8APlq/p+Hl6jm2= sLAx7uTk3qurbtW6Zqqqn7Ibo9Fm3Lm1th6Zo1+KPGLVua780zzHhKqpqq7fPxM8c/Ucfu08mKP= nJwqieZNXw+bpr6kdFm4ev3eKTx9vMcf08NN9I/xrh/6+j+1Da34Smq2sDoszMeqvi7nXbdi3T5= 6vlRXP9FMtUtI/xrh/6+j+1DHA6ZjTVz++zXEpib9MN1OkvW8vbexdT1vAptV5OLaiq3F2JmiZm= qI7YiY9PpeCYPwhN228u3XmabpF/HiqPCUUW66Kpjz8VdaeJ+viXtHTt+6XX4//AEKf7dLTXlw4= No7OotVTcpz7uuv1Fy1ciKJbx41ek732Xbu1Wqb+nariczRVxPEVR2xPoqpn+aYeC9COl720ncm= 6tJ2xe0SL+Feox8urUKbkxV1a7kUzR1Psq7/qeudAGNkYnRHodvJoqorqouXaaZ/0a7tdVM/fEx= P3ut9C1dFzpV6SKqOOPHqI++K70T/S8NqqbVF63T7xH+Xprp9dVuqe/wD8eI9MFjX73SZnY+s04= l/V7k2aaqcCmubdUzbp6sUxV288cfe7BonQPvjUcSnIvzpunTV3Wsm9V1+PTMUU1RH8/L0fRNLx= 874UOu5d+iK5wMK3dtRPmrm3bpif5pqfJ8InpF3HtjXMLRNAyacPrY0ZF69FumqqrmqqIpjrRMR= HyZ83n/n+nTrtRXy9PYxE4h4p01qn1XbucZdSn4PG8PWuh/m3f+mw6GdG3noe/twaNt6/ok5+Ha= 8Fk15nhJtVRFcfsdWOe/08PSfg37p17dOjatf13UK825YyKKLc1UU09WJp54+TEPzeiT9/e/Ptq= /vIcLur1E03bV6Yn0x+H5w60WLUTRXbzGXQt3bN3fvbpfztH1HK0W3q9vBoyLldqblNiaIiiIiO= Ymrn5Uebh7zuHbObqPRZc2pZvY9OZVp1vFi5XM+D61NNMTPMRzx2eh4T066/rG3OmnUM/RM65hZ= NWHZtTXRETM0zTTMx2x6Yj+Z7VurV9SxOhS5rePmXLeoxpVq9F+IiauvNNMzV6O+ZcdVzposTGM= e2Pq3Y9EVXInv8tcd49GGubW1nRtLz83Trt7V73gbFVmuuaaautTTzVzTHZzVHdy7THweN4T/+L= aH+bd/6bote4t57x3BpVq5n5Oo6nZvx4hHVp5ormYnmOIjz0xPb2dj3HE2f0212KK8jf+HYuT30= RHW6v1c+DfT1Wo1Onppiq5TE/P7w8di1ZuzMxRMw803J0Gb20fTq8614hqdNuOa7eJdqm5EeeYi= qmOfsjmfqfvfBE/ys1r+Bp/tw9v6PdO3XpmlXsXdusY2rZHhetZvWqJpmKOI+TV2R5+f53mvQvY= tY3TnvqxZoii3TVc4pjujm7y8FXELmo0923cmJx8x9XqjS0WrtFdPtl5v8Jj97Wd/D2P7EPNHpf= wmP3s538PY/sQ80foeG/wDi2/o+Vq/tqvqJV5lSrzPc86EhIIAKAJJAAQsJLmwrPhLvWq/Zp73D= xM1RER2y/Ux7cWrUU+fzkzhmqcOSUWUc3IAAYz3smM94sADSgACSqSAAAAyACoAKrGSe4knuRWK= opCQMap4VjPektQhMAy2ncvIiC8dqSpKiAAAIMZ7xZ70FiQAUcVc81M654jhxyzKgDOCEk4UGss= WVuOO1IjmeHJDVMM1SANJCTCLKA+gB1cQAaJRZQAAIGy/wbtgxo+lRunVLURqGbb/7tTVzzasz5= +PTV3/Zx6Za36bk04efYy6sazkxarivwN6Jmivjt4q4mJmPveqf9oHedNMU0adoNMRHZxj3ez/9= x8rilrU36OXZj2nu92juWrVXruNit367iba25m61mz/gsW1NXHnrq7qaY+uZ4j72ts9Pe+pqmYp= 0uI57I8WmeP8A1PwukDpQ3JvXTLOm6pRg2Ma1d8L1cW3XR16oiYjrc1TzEcy6O8/D+D00UTOopi= ZddVxCqur/AGpxDv8Au3pc3ZubQcjRdSjA8VyOr1/B2Jpq7KoqjiefTEPYPgm/u7z/APatz+6st= YHfOjzpS1/ZGi3dK0rD02/Zu5FWRVVkW65q600008fJqiOOKY8ztr+HxVp+Xp6Yj3y56XVYveu7= Pw251XTsHVcC7gali2srFu8eEtXaYqpq4nmOY+2Idfjo62LHExtTSPvxqXhX/aF3l6r0L8m7/wB= RJ+ELvH1ZoX5N3/qPiUcJ11PtT7fq+lVr9NV3/wCmxmj7f0LR5qnStIwcGqqOKqrFimiZj0TMQ+= nU8/D0zAu5ufk2sbGs09a5cu1RFNMfa1e1Hp731lWposRpWFP+lYxpmr/11VR/Q6JubdW4ty3Yu= a5q+Vm9Xtporq4opn6qY4iP5nW3wLUXKs3Zx/dividqmP5Idn6cN/fHbcNNOF16dJweaMaKo4m5= M/tXJ+3iOI80fXMujaR/jXD/ANfR/ah889yUzNNUTTMxMTzEv01rT02bXKo7PjV3ZuXPXU3t3To= mHuPQMrRc+q5GLlURTcm1VxVxExPZPb6Hn2J0DbEsZNu7XGpZFNE8zbuZPyavqniIn+lrHGu636= 51H2mv9Sdd1uY4nWNQ4/ia/wBXw7fBtTaiaaLuIn6vpVcQs1zmqjLb/pF3pomw9uVVVXLEZFNnw= eFhUTHWrmI4piI81MdnM+aPuh5f8EnIu5Oqbqyci5VcvXfF67ldU9tVUzdmZn75eBXbly7XNy7c= ruVz31VTzLlw87NwpqnDzMjH6/HW8Fdmjnju547/ADvRRwaKNPVbir+ar5c6tfM3YrmPaPh7vqu= 7MXaPwmdTzNQueDwcqzaxr9fHMURVbtzFX3TTHP1TLvnST0caH0kU4eqWtUnHyLdrqWsnH6t23c= tzPMcxz2988TE+fztWtAxLu491abp2XmXfCZ+Vax6r9czXVT1qop57Z7eOe76nvWJ0A3sSmacTf= Wfj0z5reP1f6rjx6yxb0tVExc9NcR+Dvp7tV6mqPRmmZd66Jdg29g6fm4lvU69Q8bu03Jqqs+D6= vEcccczy6Z0Sfv6359tX95DuWz9DwujXbOdd1jct/Ntzcm9cycuvq9WIp4iimJmfRPd2zMtUtzb= iydR3dq2t6ffycOM7KuXaYouTTV1JqmaYnifRw4aPT16uq7HqzmO/6uuou02Io9u3w7d8Jqf/AB= Zzf4ez/Yh77oWPg726GcLTreX1LWbpdvHruW+KptVxTETHHpiqO76mnWVkZGVem9k37t+5PfXcr= mqr+eXLhZ2dhRPieZkY/Pf4K7VTz/NL69/hdVyxboirFVLwWtbFFyqqY9qntej7PwuiXpT21k6r= rlrLx87w9vw04/gqbNXU6tMz8qrvmqI57OHq/SVtHWt114VzRt45uhU2KaorpsRM03eeOJnq1U9= scT6e/wA3n09zc7NzerOZmZGTNHPV8Lcmvjn0cy5cfV9Wx7cWrGp5tq3T3U0ZFVMR90S5XuF3rl= VNya/5o/JujW26ImmKfafzbj9Ge1tX2thZljV9z5OvV37kV27l+Kom3ERxxHWqqdB6If39b8/+q= v8AvYa8TruueudR9qr/AFcFnUdQsZFzIs5+VbvXf/MuUXqoqq+2YnmWKODXMV+quM1R+DVXEKc0= 4p7PQvhMfvazv4ex/Yh5o5MnJyMq9N7Kv3b92Y4mu5XNVU/fLjfa0tmbFmm3M5w+deucy5NX4iV= eZUq8z0OaEhIIAKAJJADK1RNy5FEechX0YFrmrwtUdkdz7UopimmKYjiIZMTOXGZzKSiyiIAAMZ= 72TGe8WABpQABJVJAAAAZABUASVVCQkVioiJCVSxWe1GZagFRFyEKiqEgggvCSNZABMJPeiygAJ= VJKsKu2eUZJLm2nCKAgcLTHM/UBTHHayU4dGEAFhJRZQR9ADo5AA0SiygAAQJKpJCygCoAEkJPe= E94EiKAk9yLPcgAAQJPcqSKytV127lNy3XVRXTMTTVTPExMeeJfb/LOr+tc72iv9XwwMzRTV3gi= qY7ObMzMvLmmcrKv3+r3eFuTVx/O+dZRYpiOyzMz3SVjuSVjuaZAEEkJFgkAUEq8ypV5gQkJBAB= QBJIR+hhWupb69UfKq/oh8uJa8Ld7f2Y7ZfpMzLFU/CgMsJKLKAAAMZ72TGe8WABpQABJVJAAAA= ZABUEmFFViSSSCMap8ysZ70lYQBGl8yLPciILxKMlViMphEVAAJRU4RYE4UBjPYwZ1T5mPDMtQg= JwirwxXkMCM6Y4hKI5llMLTBKcqxOWmMrKEgpKcKCOYc3imX82ufhk8Uy/m9z8Ms9Ra3R5OTc2y= 4RzeKZXze5+E8Uyvm9z8J1FrdHlrk3NsuGUc84mV82ufhTxPK+bXPwnUWt0eU5NzbLhHN4nlfNr= n4TxPK+bXPwnUWt0eVizc2y4Ulz+J5Xza5+FJw8v5td/CRqLW6PK8m5tlwDn8Ty/m1z8MniWX82= u/hleotbo8pybm1wDn8Ty/m138MnieX83u/hlOotbo8kWbm2Xzz3jmnCy/m138MnieX82u/hleo= tbo8nJubZcI5vE8v5td/DJ4nl/Nrv4ZOotbo8nJubXBPcjnnDy/m138MniWX82u/gk6i1ujycm5= tlwDn8Syvm138EniWX82u/gk6i1ujyRZubXAkvo8Syvm138EpOFl/Nrv4JOotbo8rybm1wwOfxL= K+bXfwSeJZXza7+CTqLW6PKcm5tl88o+icLL+bXfwSeJZfza7+CTqLW6PK8m5tfNKx3ObxLL+a3= fwSsYWX82u/gleptbo8pybm1wD6PEsv5td/BKeJZfza7+GU6m1ujycm5tl88jnnCzPm178EniWZ= 81vfglY1NrdHlZs3NsuAc/iWX82vfhk8Sy/m178Er1FndHlOTc2y4EnzPo8Sy/m178Ek4OZ82vf= gk6izujycm5tl8w+jxHM+bXvwSTg5nza9+CTqLW6PJybm2XzD6PEcz5re/BKeI5nzW9+CTqLO6P= K8m5tl869szxEczL9vTNobq1PG8Z07buqZdjrTT4S1jV1U8x3xzEP0sLo+3rFc117U1mOO7nDr/= RidXYj+uPJybmP+Mvxce1Fq3FPn88uV2H4i70+iuseyV/ovxE3p9FtY9kr/AEY6uxvjy5ci7tl1= 0di+Iu9PotrHslf6HxE3p9FtY9kr/ROrsb48nIu7ZdclHY52JvT6Lax7JX+ifETen0V1j2Sv9Dq= 7G+PJyLu2XXR2L4ib0+iuseyV/ofETen0V1j2Sv8AQ6uxvjyci5tl11j53ZfiJvT6K6z7JX+jH4= h71+ius+yV/odXY3x5WLFzbLrg7H8RN6/RXWfZK/0PiJvX6K6z7JX+jXV2N8eV5FzbLrg7H8RN6= /RXWfZK/wBD4ib1+ius+yV/onV2N8eTkXNsuuI7J8RN6/RXWfZK/wBE+Ie9forrPslf6L1djfHk= 5FzbLrg7H8Q96/RXWfY6/wBD4h71+ius+x1/onV2N8eTkXNsuuJy7J8Q96/RXWfY6/0PiHvX6K6= z7HX+h1djfHk5FzbLrg7H8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHlORc2y64Ox/EPev0V1n2Ov= 8AQ+Ie9forrPslf6L1djfHk5FzbLrQ7J8Q96/RXWfY6/0Sdh71+ius+yV/onV2N8eWuRc2y61Pe= nDsnxD3r9FdY9kr/Q+Ie9forrHslf6HV2N8eTkXNsutTHZ2I7N8Qt6fRXWPZK/0Sdh71+iuseyV= /odVY3x5Xk3Nsut98I7J8Q96/RXWfZK/0T4hb1+ius+yV/odVY3x5OTc2y64yh2H4hb1+ius+yV= /ofEPev0V1j2Sv9DqrG+PJybm2XXkl2P4ib0+iuseyV/oTsTen0V1j2Sv9DqrG+PJybm2XWx2P4= h70+ius+yV/ofEPekf/lbWPZK/0Oqs748rybm2XXB2L4ib0+i2seyV/ofETen0V1j2Sv8AROqs7= 48rFq5tl1ye9JniHZJ2JvT6K6x7JX+jjq2PvLnj4r6v7JX+h1VndHleTc2y66OwfEfeP0Y1f2Sv= 9D4j7x+jGr+yV/ox1FrdHleTc2y6+xdi+JG8foxq/slf6J8R94/RjV/ZK/0Ootbo8nKubXXk4dh= +JG8foxq/slf6M6NibzqjrRtbV5j+Er/Q6i1ujycq5tl1+I4jgl2P4ib0+i2seyV/ok7E3p9FtY= 9kr/RrqbO6PJyrm2XW+xOHZPiJvX6K6x7JX+h8RN6fRXWPZK/0XqbO6PKcm5tl1yCYdj+Im9Por= rHslf6HxE3p9FtY9kr/AEOps7o8nJubZdbHY6tib0+iuseyV/onxF3p9FdY9kr/AEOps7o8pybm= 2X6PAD8C/WgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD79v6Vla5rWLpOHTzfybkUUzPdT= Hnqn6ojmZ+x8D3n4P20/ENKr3Hm25jJzKerjxPfTa/wBL7ap/oiPSg9G25pGJoeiYulYVHVs49E= Ux6ap89U/XM8z979EiOBAAAAAAAAAAAAAAAAAAAAAAAAAcVc8yzrniOzvcYJwjIBiLwgJMCgIkx= yvADHjhO9mkwDHhGRwDDgZcJPcDivVdSjmO/wAz4/O5r1XXrmfNHZDjmBWExDGaWcwA4+IThyTD= GY4US3RNdcUx53300xTEUxHEQ48S31aetMdsudFYpLLhBEJXhBMJwjJOBUlOIZSgNRAGkAAAAAA= Dl+1tbFx9Qp1PT68eLmVcw6rmHVH7VNy3MVzEfbRFcfbw7PG29OqysKIxaJtaPdm1rU01TPhOra= 8NVM+jmabtv/dp88g8+OXctH0zS8/B03WrmNTRj4l3I/lK1RMxE00R4W3H1daJ8H/ux5zWNP0rS= 8bUNWoxaLuPlZdidNtXJnjwVVMXq/t4iaKJ+2QdNHoVe2NPs39QsXMejjVbtVGi1TVPyafBeGpm= PTz17VH31eh1nc2HaxKMLDx8Oqi9i4VurOucT23bny+30cRVRT9sA/Dct+xXZtWrlVdqqLtPWpi= i7TVMRzMcVRE80z2d08T53bNcr0jQ8qNCo23j5seL26qsu7cuReu1V24q69E01dWKYmeyOrPZHa= 59O0HTM7L2xau0UWreRpt7JyO2qJvVW670xE9WJntiimPkxzx3RyDo47nuCjbuVoGVkY06Rayse= qjwP8m2sziqJniabk3aer3czE8xPZL9CbG36922tq29vYtFrJot0VZc3Lk3qLldqKutT8rqxETP= dxPPH1oPPHLTYrnFqyYrtdSmuKJpm5TFfMxM9lPPMx2d/HDsmLGnaNtfT9Tu6NjapkZ927FVWVN= fg7NNuYp6sRRVHyp55mZn0cQ4rmLh5e2NSzsbTYxrs6pYt2bfXmubdFVFyepEz2zHMR39vZCjrZ= //ALveh5ek6VXpuqadXjaFZzcDDru8Yd3IuZFuu3x1uvXMTant5iY5757H5moXNK0W7i6RG2cbU= PCY1m5cyrly5F6/NyiKubU01RTTETV1Y7J/Z7fOg/A1XSbun6jn4dV6xXOFX1a6puRTNfbx8mmZ= 5n7I5fnO77ixMa/rO9712x1rmNMVWZrj5VEzfopn7+JmHz6jc0rRqsTSPi1j5/hcazcuZNdy7F6= 9NyiKubUxPFMRNXEfJnu7QdVosV141zIiq1FFuaYmJuUxVPPPdTM8zHZ2zEdjG7buWa+pdt126+= Inq1RxPExzH88TEu5a1p+nadc3Jes6faqjT9VsUWbV6KpiKObnNE8TzxPViJ7eezvfRr1yjWt5Y= uJRomk26LOLZyL1XhLlqmq3GNRXPhKpqniimO7jieI75lR0S1T4S7TbieOtVFPP2vs3Bptej65n= aXcu03q8W/VamumniKppnjnh2jcmHpdzRcPVcG3pVF2jUIxq503w8WqomnrcT4aP2o476eztfl9= I1q7O+NfvRbrm1TqF2ma+rPViZqniOfT2T/Mg66cw7xqEaNo+uWNufFrHz7dUWabmTcruRfvTcp= pnrUTTVFMR8rsjie6OUu4Gk7ewtduXtOx9WvYOrxh49V+qqKOrxc5mqKZjn9mOznv+xR0gdy1W5= pOheJafO3MTUJycW1k3ci7cuxXXN2mKuLXVqiKYp56sTxPbHa/I3zh42n7sz8PDsVY9i1XEUW6u= +mOrE8T9YPxAAAAAAAIiapiKYmap7ojzg7P0Z7Xubq3RZwqomMO1/hcqvjuoif2ftqns/p8zaax= at2LVFq1RTRbopimimmOIpiO6Ih1Dom2rG19sW7d+iIz8ri7lT54njso/3Y/pmXcmQAAAAAAAAA= AAAAAAAAAAAAAAAJEq5nsBhM8zyizCAnHApwCBMAJMIyAYizCAgpwCJwoDFxX6urTxHfLmmYiOZ= fLXM1VTIsOLhJhnwgrCYSYZzCcA42Vqjr1xHm86zD6LNHVo+ue2RJZ+bgAQAFSYRkTAMeEZIIgv= CA1CAaAAAAAAH06ZnZemahY1DBvTZybFcV264iJ4n7J7J+9z2Na1Wzb1C3azblNOpRxlxxE+Fjn= rdv3893pmPPL88B9mJqediadmafj5E28bNiiMi31Ynr9Weae3jmOJ57jN1PPzcHCwsrIm5j4VNV= GPRMRHUiqeZjsjme30vjAfoX9b1a9Vp1VzNuVTptNNOHzEf4KInrRx6e30+iI7ohlk65q2RVqU3= s2uqNTqivMjiIi7MVdaOeI7OJ9HH8z80B+zjbp3Bj4EYVnUq6bVNE26Jmimblumf82muY61Mds9= kTD469W1KqcGrxuumrAo6mLVRxTVajrTV2THE99Uzz39r4gH6usbh1nVrMWc7M69qKuvNFFui3F= VX+lVFMR1qvrnmXDTrGpU6zb1inJ4zrc0zRd6lPZNMRTT2ccd0R5nwAP09H1/V9Js12MHL6lmue= tVauW6blHW7ut1a4mIn64jlx5WsanlWsi1k5ly9Tk36ci9NfE1V3KYmIq63fHEVT2cvgAfuZO7d= w5Niuxe1GaqLlubd3i1RE3aZiYnrzFPNc8T31czHmYYO6NfwsGjDxtRqptW4mLczbpqrtR6KK5i= aqP92YfjAPvv6zqd+5n3LuT1q9Q48amaKf8ACcVRVHm7O2Ins4dq0TOro0nEt0b6x8TGooiK7d7= EqnJx/wDSptVRRVMR38cVU/ZHa6MA/Y1/XcjUNQ1auxVVbxNQy/GJtVUxM9k1dTme/mIqnuSNya= 3FWDXTm9W5gUdTHri3RFVNPHV6s1cc1Rx2cVcxx2PyAH6up7h1jUrUWszLiu1Tcpu026bVFFFFV= PPE000xER+1PZHf5+XHn65q2dby7eVmVXKMzJjKv09WmIruxEx1uIjs757uIfnAP2sPde4cTDpx= MfUq6bdFPUt1TbpquW6fRRXMdamPqiYfmxnZcadc0+Lv/drl2m9XRxHbXETETz391U9j5wHd9v5= 1y3o+Nas73xcKxRH+Es5OJVVex557fAzFFX2xxVT2+h1zdmpWtY3JnalYpuU2b92arcXP2urxER= z9fEdr8sAAAAAAAel9A2051fXp1vMtz4np9UTb5jsuXu+I/wB3v+3h5/o+n5WrapjabhW5uZGRc= iiiIj0+efqjvmfREtr9paJjbd0HE0nEj5Fijiqvjia6v86qftlJH60RxACAAAAAAAAAAAAAAAAA= AAAAAAABLGFn0AITCgjCYRmkwKxOFnsQEFJgESYUBOEZJwCJwqVTERMyDhvzPHVj73C5J5meZ70= mIkWGEpMMpiUFY8Jwz4SY8wFmjrV8z3Q+hLdPVpiPP52QyicLMAMRknAIAAnCgqIyOAa3+TPfHq= K5+db948me+PUVz8637zaAXKNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ74= 9RXPzrfvNoAyNX/ACZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaA= MjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXP= zrfvHkz3x6iufnW/ebQBkav8Akz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8me+PUVz8637x5M98eo= rn51v3m0AZGr/kz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8AJnvj1Fc/Ot+8eTPfHqK5+db95tAGR= q/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51= v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/wCTPfHqK5+db948me+PUVz= 8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me9/UVz8637zaAMjyro= T2Hl6FdydY1zGiznTzax7c1RVNFP8AnVdnZzPd9kT6XqpxHogQAAAAAAAAAAAAAAAAAAAAAAAAA= AEmFBEADIAGE4SYZAZYIzmEmBWKcMkBBU4AcN6fldWO5yV1cRy4e8GKTDLhBWKTHLNOAYcSzs08= zz6CI5nhzU08RxAJwKCMTheAGIpwDHhJZAMRZhAAAfoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgpwJ7oEwAAAnDGYZgMEZTDC52QK4655q+qGEw= zlAYDKYSYBjMehGREczwC2qe3nj7HIccAInDIBiLwnAJwjIBicLwgIKkwCcHCgPuAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOAEwkwKSCAgo4q= p608s657OHHwJhJSWRwKx4RlwnAMeGVuniOfSRHayAOABBU4AABJhGQDEXhASUZJMAnBwqA+0AA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJ= 445VjX2iYYTzyjJOBWPBwoDEmF4POBTCgCcIyAYi8IAnCgIKnACKAnCMkQQ4ZU0zVVEQ5vB0ehR= mAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= ABMseFnvBGMwkwzSYDLBJhnMJwKxWIAE4FAQJAE4UBOEZJwCC8IBwigIkspgopmqrjzA5LNPEcz= 3y5OfqAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAABJVJAAAAEwJMKAxmE4ZpwKwFmAEOABOOBTgEAASYUBiMkmARzW6eI+1x245q+qHNAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAg= nHCn3ggqcCgAAAgnCgMOEZpMCsRZhACYAEFSYABlbjmeQZ0xxCgAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJg4SVAQAXIAGAATCJ= MMgMsOEZ8JMCsRZQDjlyUxxHEJRHnZAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACJMCgIHCCqAAAInCcdrIgFAFAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAO04ARBUDIAKR2qQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHHaAmAAUAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAmU5fkbu3Hpe19LjU9YvV2cTwlNublNE19WZ7= uYjt4YbZ3PoW5sa5f0LU7ObTa4i5FHMVUc88cxMRMd09/oa5dfp9WPZiblMVenPu/a5OWq1vpe3= roOu5+PGfb1DGt5VyKbWXR1uIiueyKo4q7vrbI7M1ivX9radrNePGPVmY9N2bcVdaKZnzc+d6dV= obumiKqu0vNptbb1EzTT3h+z5uSJ5dO6Yd31bI2Hm63Zooryommzi0V/szdqniOfTERzPHn4eDb= L0bpw6QdMr3HibvvYWLeuTFqq/m3LNN3iZiZoot0zEUxMTHdH1PI9jarkeG5WD0j7J6MLtOq9IG= lYesXdXpqt6hm3671qLE2uPBc3LVUxVNVMzx1fv8z07B3Fp+kbJ0nVNzbg06nwuHZm7m1XIotZF= ybcTNVHMRzFU8zEREdnmgHZB1XTekXY+pVZFOBuXAyJxsevJvRRXM9S1RHNVc9ndEPmp6Vejqqq= KY3fpfMzx23Jj/kDuY+LK1fS8XSf5WydRxLWn+Di541Xdpi11Z7qutzxxPMPwNN6SNi6nqFjTsD= c+n5GXfri3atUVzM11T3RHYDtg8p6LN1alas7l1DeG/ND1jBwq7c0V4nERiUzVXExc4tUds/Jj/= O7pdlsdKXR5evUWqN36V1q54jrXurH889kA7iJTVTXTFVMxVTMcxMd0qAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADy/wCE5+7G= 5/F2v+bqXwR+7c3/AA3/ALrtvwnP3Y3P4u1/XLqXwRv2dzf8L/7r7Vr7sq+v+HxLv3jT9Hie5P8= AKHUv4u7/AG5be9EP7sdv/wADR/U1C3J/lFqX8Xd/ty296If3Zbf/AIGj+p6uNfYW/wB/Dz8H+3= ufv5dD+GBjX7/Rfi3bVM1UY+qWrl3jzUzbuUxP4qoj73Yvg46jg53RFotvEv267mLbqs37dNUTV= briursqjzc9/wBku5bm0TT9x6Fl6LqtiL2Hl25ouU88THniYnzTE8TE+mHgWb8GOvxu7Vp28PB4= 8zzRTew5muI9EzFcRP28R9kPzb9G7V8MCf8Awtxv9q2v7u68d6UMvJzNf2Fpl/TsnVMTH29p82s= C1VVE5M1URNUR1YmeZ4insjn5L1ijoLyqejC9s6rc1mq7c1enUIyZxZ4iItdTqdXrffzz9z9je3= Q1i7k0Lb1q1rN7Tta0TBs4lrOtW+YrptxHHNPWiY7YmYmKuznzivP9sY2NOi7xrp6KMzaVdvbGf= NObeuZExXPUiPB/4SIjmYmZ9PyX42wdibY1b4PmvbozdPmvV8SMmbORF2uJp6lFM09kTxPb9T1H= QeineGLa1bH1jpFzNWxtQ0vJwabN6m5VTRVdo6sXOJrmJ47X6u0+jK/oXRJquxatYt37mfF+Iyo= sTTFHhKYj9nrdvHHpEa769m5eR0NbD0i7l3KMK/qGb4Tmrsjq3KIp/m8JXx9rZTbnQ/sHRM7C1L= T9GqpzMOqm5avVZFyqrrR3VTHW45+516joP0/J6LsTZ+p6rNzKwsi7kY2fZs9WaJrntiaJmeae7= mOY7o7YfPszoh3hoGv6Zm3ekjPzMDCvUVThzF2mi5RT/mcTcmIjj6uAeadE2p6JpG0OkrL3Fg1a= hp/hseivFprmnw1U3LvVp5ieYjrcdvoj7nXN3VafnbOu52n9EWZodiuKLlrVqb+RctUUzVEd9VP= VmKu7v75h7hoHQZbxNu7o0XUtc8Yt65ctXbdyzj9SrHrt1VVUzxNU9btqj0d0+l+Fe6BN23dH/k= W50l5NemRTFEYlVi5NrqxMTEdXwnHETEcfYD0noAy8jN6H9u5GVdqu3IxqrfWq7+rRcqopj7qaY= j7ne3XOjPbde0Nkadty5l05dWFTXTN6mjqRX1q6qu7meP2uHYwAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAeX/Cc/djc/i7X9cu= pfBH/AGdzf8L/AO67b8Jz92Nz+Ltf1y6l8Ef9nc3/AA3/ALr7Vr7sq+v+HxL33lT9Hie5P8otS/= i7v9uW3vRD+7Hb/wDA0f1NQtyf5Q6l/F3f7ctvOiGf/DHb38DR/U9XGvsLf7+Hn4P9vc/fy7NnV= 1W8DIuUTxVTaqmJ9ExDVLYm6OnPe3js7d12rIjCqoi914x7fV6/W6v7VMc/sy2r1P8AxZlf6mv+= zLX34Fn/AJW7P9Zi/wBV5+bfo4fNsTpR37t3pKs7Q6RqvC05N2ixVNy3RFdmqv8AYrpqojiqiZm= Oe/7uJeoba1nduT0raxpeoZej16FZornFtWL9qrJpmJp469EVdaI7Z74jzPFfhN128zp10jGwZi= vJoxsWzXFM9sXJvVzEfbxVT/PD7sXUcnSOnLpL1PDq6uTi6TmXbVXHPFcRb4nj6pBsVnbk2/p+T= VjZ+u6Xi3qe+3ey6KKo+2Jnl1rpG3RmfE69n7G1nQr+ZayLdFV29mWvA0xPPMTVNUUxPojl4r0K= dFW3977JzN0biy9QyM25lXojwd+Kf2YieapmJmapmZnnn0OmaHER8H/c9Md0a3iR/wCmoHs/Tdv= zXdv9F+3snA17Dxdx5FePVmU4tdq51qarNc11Ux2xNE1xHFUdnd2vS9qbq0jM2liajka7p1ybWJ= YqzbvjNHFquumP25ieKZmrmO3jta9dN+29Lt9C+yN1027n8qXMPAwaq+vPV8F4tXXx1e7nmO93b= L2z0d7G6FcnM1TEzq8PW8bCqy7Nq/M3L92ni5RTRM9lPbNUz9UT9gPXMfde2Mm/RYxtxaReu1zx= TRRmW6qqp9ERE9rzLpX3duLSOmnZ+habqdzH03Pmz4zYiimYuda9NM8zMcx2dnZLwLeU7Mu7fjJ= 27s3cek3+vTVby8nIm5Zqp9Hd5+Y4mJ9DvWtZuVqO/uh/Nzb1V/Iu4GFNy5VPNVc+GmOZnzzPpB= tTAQAAAAAAAD8PfG4MbbW28rVL/wAqqinq2aP9O5P7Mf8AOfqiXgHlU33zP/xqI+rxWz7gNmxrJ= 5VN9+u49ks+4eVTffruPZLPuLgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHl= U3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbN= jWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9= w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcM= DZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZ= LPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz= 7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79d= x7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/Xce= yWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTf= fruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU336= 7j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTy= qb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm= +/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsa= yeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuH= lU3367j2Sz7hgbNgIAAAAPL/hOfuxufxdr+uXSfgp52FiVbioyszHsVXZxvBxduxTNXHheeOe/v= h7zq+mafq2L4pqeFj5mP1oqm3eoiqnmO6eJfkVbE2ZMdu19In/AISj9Hvt6ymnTTYmO85y+dd0l= VWpi9E9vhrruLok31d1LNzsTSrWXYu37lymbWVb5mmapmOyZh6F0e9It3auiYW3t57c1TR7WHbp= s282rHrm3VEeers7Pu5ek2NlbYxuZw9IsYcz3zi1VWZ/nomJc8bdtW4mnG1LU7duqOKrdzInIoq= j0cXet2fZw6XuIc+iKLsZiP0Ys6CbNc125xMvtsZeJrGj13tOy7GTZv2qot3bdcVUzzHHfDWvTP= g/9JGmzd/k3dmmYXhJia/F8zIt9bjnjnq0RzxzP873jE2dj6ZkXM3Rb9Om5NUzM02LfVsXezs8J= a56sz/81PVn63Z8abk2om7TTTc4+VFM8xz9T51WM+z6VE1Y93h3RZ0E39A3RZ3LurWLWpZuPc8L= Zs2Yqqo8J5q6q6+2qY74jiO2Inme5+3onRdnWeljc259Uv4ORpGtY17H8Woqr8L1bnU5ir5MRHZ= TPdPnetJMcstNVq9nZ+1bmda2X0y6BjaZc5uV2bupRbrniJ7Jpp60TPHZzHHPofN0PbM1Pe/Q9u= LR9Ov41i7d1excpu5E1RRPUo5qj5MTPPyo8z2SvoG6Na7lVyrRsiaqp5n/AL7e7/xO97b0DSNt6= Ta0nRMG1hYdrnq26OZ5nzzMz2zP1zMyK6HvXozydzdD2jbNuZ9jH1DS7ONNF6Imq1VdtWptzE9k= T1Ziqrt457ux1ux0R7y1Xo+z9r7t3VjZUW6sevSK7XWuU4824rpmmrmmmZiYqpjvmY4+rt7rujU= 83P3nZ0rCuX7GNptrwmfNNVdEVTdpmLcxNMTz1erNXFUxEzMejs65rd/eutZ1i9GHrODHgZt004= 9FVvwXhOrz1p5+XVT16O2eI5t3PNPLtRYmr5eeq/jtDquq9EfTBqm3adu5+9tIyNLt00UU49ddz= iIo46kcxa57OI879+50Sa/Xruws/wAf0zwe3MbHs5Udevm5Nu5NUzR8ntjifPw7Bcyt5YOhYFjB= wL1zxm1NNyK4u1XLHWimmOZqmaoqpmvv7qot1TERzD6NG1HdOu61gWNS0vK0/CouU5VdUW6rfbF= uKvBVVTPyoiq5THPEczbq7OJ7HJnGcrzo7YeiUqlKuLsAAAAJVPCuidM27I25tmbGLd6uo5vNux= 1Z4qt0/wCdX90dkfXMegHlXTduyNwbknT8S51sDT5mimY7q7ndVV/RxH2c+d5+faKACgAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADdABkAAAADgAODg= AOCIiO4AAAAAfLXp2Bczac65hY9WVTTFNN6bUTXERPPEVd/D6erT6FBMJ1Y9BFMQoKAAAAATPAO= LMyLGLi3cnIuU27Vqia66qp7KaYjmZaqdIG5L26dzZGp1zVFjnqY1uf8AMtx3R9s98/XL0/4Qe6= /A41G18K5/hL0RczJj/No76aPv75+qI9LxBYABQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABugAyAAAAAAAAAAAAAAAAAAAAAADG5+yANXemD94+s= f62n+xS6mCgAoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAA//9k=3D" width=3D"793" height=3D"1121" alt=3D"" style=3D"margin-lef= t:-1pt; position:absolute" /><img src=3D"data:image/jpeg;base64,/9j/4A= AQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBA= QEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEB= AQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAAbAE0DASIAAhE= BAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAABwUGCAkKAgT/xAApEAABBAMAAQQCAgIDAAAAAAAFAw= QGBwECCAkREhMUABUKFiEiGCUy/8QAFwEAAwEAAAAAAAAAAAAAAAAAAAECA//EACkRAQACAAYBA= wMFAQAAAAAAAAECEQASITFBUQNxkfATImEygaHB8dH/2gAMAwEAAhEDEQA/ALAbx6gFUHCruua3= rKsFMMDvK/BjZu2mcwdmDZDW+LBBRGGRYS3M6bOyDrRuPBR8MxTTQatUEUk9Go5nvujzW3N/m+6= DizK0o6FqbmeLnGqRiK1tedm26ftJ0HdJ4cMNZg3jZduPhxR033S3cDFMvXg7ffZF4gi4TUQ1Dj= UFHp95X/HtX1jtGj+vMdg+QCyRAYpjTcPIbgrE/dUprRB6grn4FnkcMMk5QE13122/asENE9d9l= M6ZcD3yLdzI0R2hNAl83CT7Urt/ZDeV8go8yOCkS5trYN0fXsL2s8JJW8FS+6+iVIF5XN443LyC= QNp+mOeGmjF21EKI75QhG5S1Va1V6/c29TGEPGOaaqynLmVVZ0n5DeivTHcTv/oqsb6R5H7bisw= o6/zAR/JqzMArSmcgqO9I6I2/7l9WUpWKtt1ioVPbRcvGSCSRhmh7190fj11yoSWJnproe4bApH= mWTvI8ypSLBZX0HfVjy+ekINWmZQyfFYrBQQNjJWDmY2KcCMFpAuLw/Yj4+Eci3pV3osWHN1mF5= GZrA7Y8aNMXvGulpv1VN6i8idFo863tPapzVUrLE5OeZx2YQmOqpxeHpS6OrRAhJ3hMoNE5HkHU= c0YPfsPY5ndB78/T6q4QO8jXAnQBpKuMd1OJVcHPFklXbIKIs0zJaNhVYyylxUkKbIimtiRArWw= wuCjT9ym5PBZfs5EJqrNXSP4EIxnu/cLlWyzLw+51V+k/SieWm0lBlWaVWINFrrduv8XgftJJ1j= V1HVv1jM7KK3NyzOZElFJjJGidg1PbVEE3koViI0xY0FdziRMlYo8K/RWXfJP2bwWFLhzLhtuye= /Lp4Zl0nI5b0Xjk+sOi67qGaBq2dW9Zln37c8hDRWBwJogs9xkPH1pgJfTGSKjGrs45HNXrVsGj= zfcyTX0bKoZ3APKsIiPEfgmeePSS5Jp9w972bcZUnz2SeiSk4rlmYsJhVyNlyEKIcO14pXounKl= hk+SOG9m6T82a2RGLrOHCLNKQEAhXKzqy+v8AmbsOrqIlqnW4qt57yjL+icaAa4K27X1QDKoJVg= pZSOiJuEyfdyAFycQmDKMCxYWXL6CcPXbdZv8AhljnC6qN5RDkD8/7d4bCB5IRuhtY5mmq4sdSz= fbCGPuO44dSy/W4XqSOdh8fxmfK17c9h1i9sWBz2jHO0n/q7SdyOJuZiabG63cOXIo8qTaKtSDW= EGB0ty2WH7OstyXOLWuKVTKa11T1hsYKIp6t07h6S6LuGxZ3pU9BVw51eKBnBFgOkCL+Uy6TpCy= boJH2jlsjoOYOHzt1jZRk2dxFuvPcPOXJ9wcqZ6Fqo4968aTzmioPHdI5Nv0TYcBqGVR4hUhu3x= 12JZZy6PxCFi/t2XGSVgJEhI6JtI4D2cInd8M2xUBs4PXAHsnjW3Fa70U7RgNGlucZbeshMwqoL= JtujGIRq7o2cT8SQFbxM0fzFhRuItXxRFscWIk09ESe7RYU/piZxXcdO6y+9b/5gfH4zyRjdXGX= 25nVMtCK8Mni67MeOM9GWI3gkxvSuevYx2vR1Rrx9XohjBGVzUzdlHxOULKIjLWVgM2O4cS2tNM= prOnZVog2zqIbuSLN07+i7R10HeLWVGpMn0u1eSo/IwY6wK9fRz9wfJyBJk2PVXHXbvIpwYdPlW= rIhugi+2bNlE2m7lRd5hHDh04VVoL6GmthjrX6E6Cv2CVXTF59F8AN/HFzHxTVNsxa47Cswkdlw= 6SnbqmOYcq5YgK6r9qL1RZHjCnwiophdu9eNyWGg97dz4co+tE490FFnK/2nEbNUkBXc+u2cOFx= FKxwestrnbGNs6qqN9t9c5xjOdc49cev4yo+SKB+mWxVbb12aGnBi4wgebxxrRjNYqpplRpdxd8= YfLn8j7Cddx9D8v29KRnOz6hO4b8kfLPUcc0dfs6pt6HdDT4jGy01TWV2bLRQ5ursHkGc4SHJs1= vcV1wOwuu31HVX51OrYRChQK+vHVP7qm2g9m3Y2/ypOIJKams7OqOmjWTN9Cb5uTiTQtrjV2okR= w4bMsLb6Jb7I667Zx8d28w0aZ7f7IMEoP8AYIleqehCRBxiSy9D7D19bcudOl/hbn0kEsquFVFP= jRSTS093tT000xrrgZxSFMYAJ3AweR2dEAm+m+mREbuO2gw3Gu+ce/2MR81QbJ529c+uyaeu2fX= P+fxhW2h13t3eKp3jVNNN6e3Zv+e8XG+VDyg2VLJXAL769GQytlqaIPpVyF4+4zLh01Oa2a7HOB= jG8egzwPfA9vvFxzp6lHGDVPVBsu9dNhqi7h0R11hBzj5KeufJO9sWn1Kh5OKB4dCmE7NCrXjsv= PAiiT2ewyuhDFiPFi5KvkqtI5yFxo6UZoIMmmrt2q8SwjjXeAZfmelz5B0XOxUiaKvVdlnhMtN5= 8RIO1tv/AEq5ePJQs4XU29Meu6qm22fT/Ofwl0/AYzRBY6cqJEvBS0kCpRw29ESmU7KkAyRoVI2= 7RXD0y7T02ZyAAENMXSOiTxgUFMXzNwg5bpqajEUUFNn5898GSK5pBKXb1pxtxg82F3r0B4843A= ZZG6E4fizS/GDyRQzepB7/AAamMIDNxjF9MCmG6LMkOBDZ3tKaq3YSDdkUTsOs7FD6CsJRvd85e= nP3ks7b8kGLCqePUFyzPUYtHBUmMwuxGBR63PjnskGR5XUGLeakUipQQkRWPOWaOmj79KLKOGOr= hyho2VhXMaSrifN4k0mYkxJW8Fj5CLRBMtNJu6wAjxWay6xiQphtvI/fo1fTmeTGUOdd9t91S8i= Judt85X9NV2rawiNMF8yKqdJJADuXgF/+3jE6nQx/h5GTjORgXGrlCSYV1UFnB7Mk1zrtj2uW+m= dsba+7XM5IXeUvv56YX0vHd5I2c1rx/wAMSGsLvK7PHu2RUjlJ8PRGeHcif7fC6wikxHTAGIkYn= SSwwgfOLR8WDKDpJHV2RtmzDyQquLSetUCrNg9wogi4OffK71p5AJHKqKWqrlR8xRhD+Yv4/Zwa= Sn2EqQHHY6CRj0aiTBnITEvlaz6SsyDYIEDviqQQaeON0FEwy+uY6WHG2VsRYDCbHISqYxWNkHh= IMGNTeZuG7R883Wyo4331P6OHe6WrhdFlh6s51GtllGo/Vq23yllCqisIZSZ97J6sYk4abJiVQB= J4NlEqW1IB1iA0v9B60fmnjJ0igYDhzLLK7ZTdgZECy7HduRHM3KLyR00NNTDfHBczEs0Hn5pg6= T7ubp3x5x+qLAZ8gcm1mn0FGjhYUQhMLNBjaGI0WQYkYrJ13TMWSYlUGD2OSNQFsptq2ESEGq8S= bPt1WrfXr/Fu67nvbvPHWd12GHj8dkX/ACIARHZhGk3Wo3LIDUkNWar41drKrYXUySVwr/v7c41= 09uMemfXFvacXZ3SNbjLaMTexB7A44kg9nLbGsA0gNNvhYwG+IDU3kmUwOVfCw4tq+0ZfAi8+g2= WcpKuEtVfzZ5/FUraF1lyF0YLhAbIRiR6Ry/eIYJFiXzO8VjBm+FflLP36yfoiknp8aSmiX+vu9= nvzttkyR3ovDIRi5gpqr5r+sf/Z" width=3D"77" height=3D"27" alt=3D"" style=3D"m= argin-left:441.05pt; position:absolute" /><svg font-family=3D"= Times New Roman" font-size=3D"16" height=3D"41.33" version=3D"1.1" width=3D= "209.31" xmlns=3D"http://www.w3.org/2000/svg" style=3D"width:209.31px; heig= ht:41.33px; font-family:'Times New Roman'; font-size:16px" xmlns:xlink=3D"h= ttp://www.w3.org/1999/xlink"><defs /><g><g><path d=3D"M0,0 L209,0 L209,0 L2= 09,41 L209,41 L0,41 Z" fill=3D"#7c7c7c" fill-rule=3D"evenodd" /></g></g></s= vg><a href=3D"http://www.anatomiadigital.org/= " style=3D"text-decoration:none">www.anatomiadigital.org</a><s= pan><svg font-family=3D"Times New Roman" font-size=3D"16" height=3D"16" ver= sion=3D"1.1" width=3D"415.95" xmlns=3D"http://www.w3.org/2000/svg" style=3D= "width:415.95px; height:16px; font-family:'Times New Roman'; font-size:16px= " xmlns:xlink=3D"http://www.w3.org/1999/xlink"><defs /><g transform=3D"tran= slate(0.1,0)"><g><path d=3D"M414.7986,0 L0,0 L0,0 L0,0.6412598 L0,0.6412598= L414.7986,0.6412598 L414.7986,0.6412598 L414.7986,0 Z" fill=3D"#000000" fi= ll-rule=3D"evenodd" /></g></g></svg><sv= g font-family=3D"Times New Roman" font-size=3D"16" height=3D"16" version=3D= "1.1" width=3D"415.95" xmlns=3D"http://www.w3.org/2000/svg" style=3D"width:= 415.95px; height:16px; font-family:'Times New Roman'; font-size:16px" xmlns= :xlink=3D"http://www.w3.org/1999/xlink"><defs /><g transform=3D"translate(0= .12,0)"><g><path d=3D"M415.7586,0 L0,0 L0,0 L0,0.6412598 L0,0.6412598 L415.= 7586,0.6412598 L415.7586,0.6412598 L415.7586,0 Z" fill=3D"#000000" fill-rul= e=3D"evenodd" /></g></g></svg>ISSN: 2697-3391<= /p>Vol.</= span>= 8 No. 2.1, pp. 19</s= pan> = =E2=80=93<span= class=3D"awspan" style=3D"letter-spacing:-0.2pt; color:#ffffff"> <s= pan class=3D"awspan" style=3D"color:#ffffff">33, abril - mayo 2025 Revista= en ciencias m=C3=A9dicas, salud p=C3=BAblica Art=C3=ADculo de revisi=C3=B3= n bibliogr=C3=A1fica.A= s <span= class=3D"awspan">research progresses, the<= /span> integration of objective</s= pan> diagnostic methods, such as</= span> DpOAE, along with<spa= n class=3D"awspan" style=3D"letter-spacing:0.4pt"> an </spa= n>understanding of the context = of trauma, = may <s= pan class=3D"awspan">significantly improve treatment outcomes in patients<s= pan class=3D"awspan" style=3D"letter-spacing:0.65pt"> with= post-TBI hearing<sp= an class=3D"awspan" style=3D"letter-spacing:0.65pt"> loss.= Conclusion. </spa= n>Cranioencephalic trauma<spa= n class=3D"awspan" style=3D"letter-spacing:4.6pt"> (TBI) </= span>has significant effects </spa= n>on hearing, which is = evidenced in seve= ral <= span class=3D"awspan">studies. On one</s= pan> hand, in mice it<s= pan class=3D"awspan" style=3D"letter-spacing:-0.3pt"> shows that repetitive<sp= an class=3D"awspan" style=3D"letter-spacing:-0.3pt"> mild= TBI can cause </span= >early neuronal damage<span= class=3D"awspan" style=3D"letter-spacing:-0.7pt"> although it does = not <s= pan class=3D"awspan">directly affect hair= <span= class=3D"awspan">cells, but causes degen= eration </span= >of the spiral</span= > ganglion. An accurate<sp= an class=3D"awspan" style=3D"letter-spacing:0.5pt"> evaluation of hearing loss<sp= an class=3D"awspan" style=3D"letter-spacing:1.1pt"> and </s= pan>exposure history are <s= pan class=3D"awspan">essential for successf= ul treatment <= /span>of hearing l= oss <sp= an class=3D"awspan">after TBI. Studies</spa= n> agree that early intervention= <spa= n class=3D"awspan">is vital to<sp= an class=3D"awspan" style=3D"letter-spacing:-0.2pt"> prevent progression to<spa= n class=3D"awspan" style=3D"letter-spacing:-0.25pt"> chronic deafness. As research</spa= n> progresses, the integration</sp= an> of objective diagnostic method= s, <spa= n class=3D"awspan">such as DpOAE,<sp= an class=3D"awspan" style=3D"letter-spacing:0.4pt"> along <= /span>with an unders= tanding </span= >of the context of<= /span> trauma, may significantl= y <spa= n class=3D"awspan">improve treatment outcomes in patients = with post-TBI hearing loss.General Area of Study: Human Medicine Specific area o= f study:</sp= an> Otorhinolaryngology. Type of study: <sp= an class=3D"awspan" style=3D"color:#333333">Bibliography Review<= p class=3D"awdiv"><a id=3D"_._Introducci=C3=B3n"></a>1.Introducci= =C3=B3nLa capacidad = del ser human= o <span= class=3D"awspan">para percibir e<sp= an class=3D"awspan" style=3D"letter-spacing:0.5pt"> interpretar el sonido se <s= pan class=3D"awspan">da por un conjunto de estructuras como<spa= n class=3D"awspan" style=3D"letter-spacing:2.6pt"> el </spa= n>o=C3=ADdo, el tron= co <spa= n class=3D"awspan">encef=C3=A1lico y el</sp= an> cerebro. La p=C3=A9rdida</span= > auditiva posterior a un<= span class=3D"awspan" style=3D"letter-spacing:0.6pt"> trauma craneoencef=C3=A1lico suele= pasar desapercibida, el</s= pan> d=C3=A9ficit audiol=C3=B3gico primario= no solo aparece como </sp= an>resultado de = un <sp= an class=3D"awspan">traumatismo directo = en <sp= an class=3D"awspan">el o=C3=ADdo interno<= /span> o medio, como ocurre en f= racturas </spa= n>de la base<= span class=3D"awspan" style=3D"letter-spacing:0.1pt"> del <= /span>cr=C3=A1neo o = desgarros </sp= an>de las v=C3=ADas= neuronales centrales. Por otro = lado, en el<s= pan class=3D"awspan" style=3D"letter-spacing:0.6pt"> caso <= /span>de la lesi=C3= =B3n <s= pan class=3D"awspan">secundaria temprana, e= xiste <= span class=3D"awspan">un aumento de la</sp= an> presi=C3=B3n intracraneal en respuesta = a hematomas, hemorragias= o degeneraci=C3=B3n<= span class=3D"awspan" style=3D"letter-spacing:0.05pt"> axonal difusa. La afectaci=C3= =B3n <= span class=3D"awspan">auditiva suele mani= festarse </sp= an>en frecuencias = muy <s= pan class=3D"awspan">altas, como 4.000 Hz= . (1,2).La<span= class=3D"awspan" style=3D"letter-spacing:1.8pt"> incidencia de la hipoa= cusia <= span class=3D"awspan">post-trauma var=C3=ADa seg=C3=BAn <= /span>la poblaci=C3=B3n y <= span class=3D"awspan">el entorno, se presen= ta <sp= an class=3D"awspan">en aproximadamente = el <sp= an class=3D"awspan">5-10% de los<s= pan class=3D"awspan" style=3D"letter-spacing:0.35pt"> casos de p=C3=A9rdida<spa= n class=3D"awspan" style=3D"letter-spacing:0.35pt"> auditiva, el grupo etario m=C3=A1s afectado son<s= pan class=3D"awspan" style=3D"letter-spacing:-0.15pt"> los j=C3=B3venes, especialm= ente = aquellos que pra= ctican </spa= n>deportes o par= ticipan en </s= pan>actividades de riesgo, </spa= n>adem=C3=A1s, los t= rabajadores </= span>expuestos a r= uidos <= span class=3D"awspan">muy fuertes y lesione= s f=C3=ADsicas tienden a ser los m=C3=A1s afectados. (3,4).Esta revista est=C3=A1 protegida </span= >bajo</sp= an> una licencia </span= >Creative= Commons en </s= pan>la</s= pan> 4.0 International. Copia de la licencia:<= /span> <a href=3D"http://creativecommons.org/licenses/by-= nc-sa/4.0/" style=3D"text-decoration:none"></a><a href=3D"http://creativecommons.org/licenses/by-nc-sa/= 4.0/" style=3D"text-decoration:none">h= ttp://creativecommons.org/licenses/by-nc-sa/4.0/</a>D i <spa= n class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#fff= fff">a g n<s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-s= pacing:-0.05pt; color:#ffffff"> =C3=B3 s= t i<= /span> c o M = =C3=A9 d i c oP =C3=A1 = g i<= span class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-= spacing:0.45pt; color:#ffffff"> n</sp= an> a 22 | 33= <img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAUDBAQE= AwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBw= eHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh= 4eHh4eHh4eHh4eHh4eHh7/wAARCARhAxkDASIAAhEBAxEB/8QAHAABAQACAwEBAAAAAAAAAAAAA= AECCAMGBwQF/8QAWBABAAEDAwAECAsDBgsGAwkAAAECAwQFBhEHEiExExQXQVFVlNIIFiJUVmFx= gZKT0TI3dBWRobGysyM1NkJSc3WChMHTGCQnM6LDJWJyJkNFRmOjwuHw/8QAGwEBAQEBAQEBAQA= AAAAAAAAAAAECAwQFBgf/xAA1EQEAAQMCBQMBBgUEAwAAAAAAAQIDEQRSBRMUMZESIUFxMzVRYY= HwFSJCodEGIzKxNMHh/9oADAMBAAIRAxEAPwDpoD+lPxQANEosoAAECSqSLKAKgAkkJPeE94pIA= CT3Is9yAABAkqkiysBAIkosoKkrHckrHcqACCSEiwACglXmVKvMCEhIIAKAJJAAQsJKLKKSACD9= HDteCt8z+1V2y+XCtde51qo+TT/W/RYmWK5+BjPeyYz3sswANKAAJKpIAAADIAKgAqsZCQPgAlC= EqnsYkiNQkosoKMZ7e1ap8zGGKpy1TAksuWNTDeQFpjsIgmQWYRqUhJ7wnvAAASUVBRJUnu5QYV= T5mE9yzPM8pPc5z7ukIkwqpgliLKfZ2osLTT1qo9Dk+5KY6sfWy5daacQ5VVe76AHocAAaJRZQA= AIElUkhZQBUB9uBpebm4OdnY9masbAt03Mi5PZFMVVRTTH2zM931T6Hb+jros17fGi3tV0vO02x= Zs5E4805FdcVTVFNNUzHVpmOPlR/S897VWrNM1VziOzrbs13JxTDoU96PY5+DxvD1tof5t3/AKZ= /2eN3+ttD/Nu/9N5f4tpN7t0N/a8cOXreV8H/AHxZpmbWTo2R6KaMiuJn8VEQ6JuzZe59rXONc0= jIxrfPEXojr2pnzcV08xz9XPLva12nvTiiuJlzr0123GaqXX57kWe5HrcAAIElUkVYAESUWU5gW= ElY7klY7lQAQSQkWAAUEq8ypV5gQkJBABQBJIACFhJRZRSRaYmqqKYjmZ7kfZgWv/vao+qlJnDM= ziH02aIt24pjzd7MHNyGM97JjPeLAA0oAAkqkgAAAMgAqACqxkJA+BJWUSSElJhkiNMZRlLCe/h= JnCwkx28oyYzDm3EiSqSKR3s0pjiFVBOFFGEwMp704BAQCUVEX4GFc89jKZ4hxpVKwhCjnhtAEB= aKeZ59COWmOIappzOSZSUZVMeJdXPD6QHVxABolFlAAAgSVSSFlHPp2HlajqGPgYVmq/k5FyLdq= 3T31VTPEQ4GxXwZ9gzh4kby1SzHh8imY0+irvotz2Tc+qau6Pq+15Nfq6dLamue/wAO+msTfuRT= D6N57OxdlfB71LTbc03MqvwNzLvRH/mXJuUc9v8Aox3R/wD3L7fgm/u6zv8Aa1z+6tP3/hDTHkk= 1iP8AVf3tL8D4Jv7us7/a1z+6tPy1Vyq5oaqqu81f+n26aIo1VNMfg9T1vVcDRdMvanqeTTjYlm= Im5dqiZinmYiO765h1WOljo9nj/wC02L+Cv3XF0/8A7pNc/wBXb/vaGnTpwzhlGstzVVMxiWdbr= a7FcU0w3m0Ddm29fqmjR9bwc2umOardq9E1xHpmnv4+5+nnYuNnYl3GzLFvIx7tM03LdymKqao9= ExPe0MxMnIw8q3lYl65Yv2qoqt3LdXVqpmO6Yluf0S7hvbo6P9L1fJqpqyq7c28iYjjm5RVNMzx= 5ueOfvcuI8MnR4rpnMNaTWRqM01R7tcOnfYNGy9ft39Opq/kjP5qsRM8zarj9qiZ9HbEx9U/VMv= N23PwktMtZ/RVnXqrcVXMK7ayLc+emetFM/wDpqlqfpUzTqeLNNm1fmL1HFu9zNFfyo7KuO3ifP= w/QcJ1VV/TZq7x7Pl66zFu9iO0vedP6O8Kvoyo29XoVVWu5GlVanGp+Kz1aLvXiqjH8Jx2VdXsm= OfNM+d0jb3Rxo2dtjb+rapum9p97XMivGxrNOnzdiLkXJoiJqiuO/iPNHe9Kubc6b691U6/Tq2k= 0RExP8n05t6MTiKerx4P0T39/f2vl1HY3ShmWtIteKbUsW9J1CvPxrdm7dinwlVybk0zz/m8zMR= EcdnnfJt6qujMc2Pec9/r7f9PbVYpn+ifb2dH0Dojrz8/VsHLz9Qt3NPz6sTwuPp/hbVcRETFXW= munie3mae3jsfp6T0c7Z0zTd9YW48+u5l6NNiLeXasVT4CiunrU3IoiviqaueJpnu6vf2ubeWsd= JG0IzLm5Ns6Jm6fnZ3jkVXLNV6xavcRT8maa4mn7Kvr4878nae6N+7n3BuTU9I21pesRqduxTqW= Hctc2OKKerbmIqrie6mrzz5/q49M16u7RNfrj0+3aY/JyxZomKfT7vjwejrQ6NO0S/rW6b2De1+= 5VTptu3gzcjq9aIoruT1o463NPZ5ut9U8fTp3RRh0xkU63uSvBu29bjR7UWcKbsXblUUzRVz1o4= iet9z5r2+Nz7UvWdC1vbeiXcrSrs3cOnMx+vXhTX8uIommrjiOYmO/js9Ecfi0dIm4PFqbV+nEy= a41mjWartyietXfpiOIniYjqdndERPomHoijX1xmmr2+sf2/RxmrTU94di3H0V4Gn2cy5p25pz6= 9O1CxhZ1m5gzamibtVMRMT1pir9qP1fqal0c0a/u/WsOa68K1pVy3i0fyZpEeBqiaIq5nm5z1uZ= 7eZqn6+50zL6SNcyKtXm5i6fH8rZtnMv8AFuv5NdqYmmKfldkT1Y555+52La28d87o1DW7OnbY0= fXIzr1Gbk4l6zM27VcUxRFVPNcT3RHfM/c5XLeuop9VVXb5zHzhuivTVTiI7uldI21ruzt15GhX= cujL8FTRXRepo6nWpqjmPk8zxP3y69Hc7V0sZu4s/eV+/ujTLGnal4K3TVYsxxTTTFPyZ/aq831= v1dS6JN1afs+rdF+5p04NONTkzFN6qa+pVETHZ1e/tjzvqWtTTRao51UZn+7x12Zqrq9Ee0OgAP= Y86SEuy9H+ydY3vn5OFo1eLTdx7UXa/D3Jpjjnjs4iWLl2i1TNVc4iG6KKq5imnu60P2d6ba1Ha= Wv3dF1WbE5NqimqqbNc1U8VRzHbMR6X4zVFdNymKqZzEs1UzTOJEq8ypV5m0QkJBABQBJIACFhJ= RZRRnZom7ciiPv8AsfqUxFNMUx2RHY4cK14O11pj5VTnYqlyqnMgDLIxnvZMZ7xYAGlAAElUkAA= ABkAFQAVWMhJIfCSIqSsAIglUsOGVU9qcszLpEIKkwipwcKSQSACZABUnvRZ70CA4AVEmGTGqeI= QYVT2sPOySYYlqEARUAjtngwZZW457XIkRxHBzx3ukRhMkosoqPoAdXAAGiUWUAACBJV9eiaXm6= 1q+LpWnWpu5WTci3bpj0z559ER2zM+aIZqqimJqntDURMziHcOhLYte9N00+M0VRpOFMXMuru6/= +jbifTV/VE/U2+tWrdm1TatUxRboiKaaaY4imI7oh1/o72rh7P2xjaNh/Kmj5d+757tyf2qv+Ue= iIiHYrlNU0TFM8Tx2TL8NxHWzqr2fiOz9NpNPFi3j5+XgXwot60xTRsvAuc1VdW9n1R5o76Lf/w= DKf93637/wTv3dZ/8Ata5/dWnUel3oks6Lt/Vt3X9w5efmeEi7cpuWaaYrqrriJ7Yns/adu+Cb+= 7rP/wBrXP7q09t+bP8ADoi1Off3+rzWuZ1ea/wdl6f/AN0euf8A0W/72hpy3F6f/wB0muR/8lv+= 9oadPof6f+xq+rycV+0j6Daj4LMV+TOvr89X+ULvU+zq0f8APlq/p+Hl6jm2sLAx7uTk3qurbtW= 6Zqqqn7Ibo9Fm3Lm1th6Zo1+KPGLVua780zzHhKqpqq7fPxM8c/Ucfu08mKPnJwqieZNXw+bpr6= kdFm4ev3eKTx9vMcf08NN9I/xrh/6+j+1Da34Smq2sDoszMeqvi7nXbdi3T56vlRXP9FMtUtI/x= rh/6+j+1DHA6ZjTVz++zXEpib9MN1OkvW8vbexdT1vAptV5OLaiq3F2JmiZmqI7YiY9PpeCYPwh= N228u3XmabpF/HiqPCUUW66Kpjz8VdaeJ+viXtHTt+6XX4//AEKf7dLTXlw4No7OotVTcpz7uuv= 1Fy1ciKJbx41ek732Xbu1Wqb+nariczRVxPEVR2xPoqpn+aYeC9COl720ncm6tJ2xe0SL+Feox8= urUKbkxV1a7kUzR1Psq7/qeudAGNkYnRHodvJoqorqouXaaZ/0a7tdVM/fExP3ut9C1dFzpV6SK= qOOPHqI++K70T/S8NqqbVF63T7xH+Xprp9dVuqe/wD8eI9MFjX73SZnY+s04l/V7k2aaqcCmubd= Uzbp6sUxV288cfe7BonQPvjUcSnIvzpunTV3Wsm9V1+PTMUU1RH8/L0fRNLx874UOu5d+iK5wMK= 3dtRPmrm3bpif5pqfJ8InpF3HtjXMLRNAyacPrY0ZF69FumqqrmqqIpjrRMRHyZ83n/n+nTrtRX= y9PYxE4h4p01qn1XbucZdSn4PG8PWuh/m3f+mw6GdG3noe/twaNt6/ok5+Ha8Fk15nhJtVRFcfs= dWOe/08PSfg37p17dOjatf13UK825YyKKLc1UU09WJp54+TEPzeiT9/e/Ptq/vIcLur1E03bV6Y= n0x+H5w60WLUTRXbzGXQt3bN3fvbpfztH1HK0W3q9vBoyLldqblNiaIiiIiOYmrn5Uebh7zuHbO= bqPRZc2pZvY9OZVp1vFi5XM+D61NNMTPMRzx2eh4T066/rG3OmnUM/RM65hZNWHZtTXRETM0zTT= Mx2x6Yj+Z7VurV9SxOhS5rePmXLeoxpVq9F+IiauvNNMzV6O+ZcdVzposTGMe2Pq3Y9EVXInv8t= cd49GGubW1nRtLz83Trt7V73gbFVmuuaaautTTzVzTHZzVHdy7THweN4T/+LaH+bd/6bote4t57= x3BpVq5n5Oo6nZvx4hHVp5ormYnmOIjz0xPb2dj3HE2f0212KK8jf+HYuT30RHW6v1c+DfT1Wo1= Onppiq5TE/P7w8di1ZuzMxRMw803J0Gb20fTq8614hqdNuOa7eJdqm5EeeYiqmOfsjmfqfvfBE/= ys1r+Bp/tw9v6PdO3XpmlXsXdusY2rZHhetZvWqJpmKOI+TV2R5+f53mvQvYtY3TnvqxZoii3TV= c4pjujm7y8FXELmo0923cmJx8x9XqjS0WrtFdPtl5v8Jj97Wd/D2P7EPNHpfwmP3s538PY/sQ80= foeG/wDi2/o+Vq/tqvqJV5lSrzPc86EhIIAKAJJAAQsJLmwrPhLvWq/Zp73DxM1RER2y/Ux7cWr= UU+fzkzhmqcOSUWUc3IAAYz3smM94sADSgACSqSAAAAyACoAKrGSe4knuRWKopCQMap4VjPektQ= hMAy2ncvIiC8dqSpKiAAAIMZ7xZ70FiQAUcVc81M654jhxyzKgDOCEk4UGssWVuOO1IjmeHJDVM= M1SANJCTCLKA+gB1cQAaJRZQAAIGy/wbtgxo+lRunVLURqGbb/7tTVzzasz5+PTV3/Zx6Za36bk= 04efYy6sazkxarivwN6Jmivjt4q4mJmPveqf9oHedNMU0adoNMRHZxj3ez/9x8rilrU36OXZj2n= u92juWrVXruNit367iba25m61mz/gsW1NXHnrq7qaY+uZ4j72ts9Pe+pqmYp0uI57I8WmeP8A1P= wukDpQ3JvXTLOm6pRg2Ma1d8L1cW3XR16oiYjrc1TzEcy6O8/D+D00UTOopiZddVxCqur/AGpxD= v8Au3pc3ZubQcjRdSjA8VyOr1/B2Jpq7KoqjiefTEPYPgm/u7z/APatz+6stYHfOjzpS1/ZGi3d= K0rD02/Zu5FWRVVkW65q600008fJqiOOKY8ztr+HxVp+Xp6Yj3y56XVYveu7Pw251XTsHVcC7ga= li2srFu8eEtXaYqpq4nmOY+2Idfjo62LHExtTSPvxqXhX/aF3l6r0L8m7/wBRJ+ELvH1ZoX5N3/= qPiUcJ11PtT7fq+lVr9NV3/wCmxmj7f0LR5qnStIwcGqqOKqrFimiZj0TMQ+nU8/D0zAu5ufk2s= bGs09a5cu1RFNMfa1e1Hp731lWposRpWFP+lYxpmr/11VR/Q6JubdW4ty3Yua5q+Vm9Xtporq4o= pn6qY4iP5nW3wLUXKs3Zx/dividqmP5Idn6cN/fHbcNNOF16dJweaMaKo4m5M/tXJ+3iOI80fXM= ujaR/jXD/ANfR/ah889yUzNNUTTMxMTzEv01rT02bXKo7PjV3ZuXPXU3t3TomHuPQMrRc+q5GLl= URTcm1VxVxExPZPb6Hn2J0DbEsZNu7XGpZFNE8zbuZPyavqniIn+lrHGu63651H2mv9Sdd1uY4n= WNQ4/ia/wBXw7fBtTaiaaLuIn6vpVcQs1zmqjLb/pF3pomw9uVVVXLEZFNnweFhUTHWrmI4piI8= 1MdnM+aPuh5f8EnIu5Oqbqyci5VcvXfF67ldU9tVUzdmZn75eBXbly7XNy7cruVz31VTzLlw87N= wpqnDzMjH6/HW8Fdmjnju547/ADvRRwaKNPVbir+ar5c6tfM3YrmPaPh7vqu7MXaPwmdTzNQueD= wcqzaxr9fHMURVbtzFX3TTHP1TLvnST0caH0kU4eqWtUnHyLdrqWsnH6t23ctzPMcxz2988TE+f= ztWtAxLu491abp2XmXfCZ+Vax6r9czXVT1qop57Z7eOe76nvWJ0A3sSmacTfWfj0z5reP1f6rjx= 6yxb0tVExc9NcR+Dvp7tV6mqPRmmZd66Jdg29g6fm4lvU69Q8bu03Jqqs+D6vEcccczy6Z0Sfv6= 359tX95DuWz9DwujXbOdd1jct/Ntzcm9cycuvq9WIp4iimJmfRPd2zMtUtzbiydR3dq2t6ffycO= M7KuXaYouTTV1JqmaYnifRw4aPT16uq7HqzmO/6uuou02Io9u3w7d8Jqf/ABZzf4ez/Yh77oWPg= 726GcLTreX1LWbpdvHruW+KptVxTETHHpiqO76mnWVkZGVem9k37t+5PfXcrmqr+eXLhZ2dhRPi= eZkY/Pf4K7VTz/NL69/hdVyxboirFVLwWtbFFyqqY9qntej7PwuiXpT21k6rrlrLx87w9vw04/g= qbNXU6tMz8qrvmqI57OHq/SVtHWt114VzRt45uhU2KaorpsRM03eeOJnq1U9scT6e/wA3n09zc7= NzerOZmZGTNHPV8Lcmvjn0cy5cfV9Wx7cWrGp5tq3T3U0ZFVMR90S5XuF3rlVNya/5o/JujW26I= mmKfafzbj9Ge1tX2thZljV9z5OvV37kV27l+Kom3ERxxHWqqdB6If39b8/+qv8AvYa8TruueudR= 9qr/AFcFnUdQsZFzIs5+VbvXf/MuUXqoqq+2YnmWKODXMV+quM1R+DVXEKc04p7PQvhMfvazv4e= x/Yh5o5MnJyMq9N7Kv3b92Y4mu5XNVU/fLjfa0tmbFmm3M5w+deucy5NX4iVeZUq8z0OaEhIIAK= AJJADK1RNy5FEechX0YFrmrwtUdkdz7UopimmKYjiIZMTOXGZzKSiyiIAAMZ72TGe8WABpQABJV= JAAAAZABUASVVCQkVioiJCVSxWe1GZagFRFyEKiqEgggvCSNZABMJPeiygAJVJKsKu2eUZJLm2n= CKAgcLTHM/UBTHHayU4dGEAFhJRZQR9ADo5AA0SiygAAQJKpJCygCoAEkJPeE94EiKAk9yLPcgA= AQJPcqSKytV127lNy3XVRXTMTTVTPExMeeJfb/LOr+tc72iv9XwwMzRTV3giqY7ObMzMvLmmcrK= v3+r3eFuTVx/O+dZRYpiOyzMz3SVjuSVjuaZAEEkJFgkAUEq8ypV5gQkJBABQBJIR+hhWupb69U= fKq/oh8uJa8Ld7f2Y7ZfpMzLFU/CgMsJKLKAAAMZ72TGe8WABpQABJVJAAAAZABUEmFFViSSSCM= ap8ysZ70lYQBGl8yLPciILxKMlViMphEVAAJRU4RYE4UBjPYwZ1T5mPDMtQgJwirwxXkMCM6Y4h= KI5llMLTBKcqxOWmMrKEgpKcKCOYc3imX82ufhk8Uy/m9z8Ms9Ra3R5OTc2y4RzeKZXze5+E8Uy= vm9z8J1FrdHlrk3NsuGUc84mV82ufhTxPK+bXPwnUWt0eU5NzbLhHN4nlfNrn4TxPK+bXPwnUWt= 0eVizc2y4Ulz+J5Xza5+FJw8v5td/CRqLW6PK8m5tlwDn8Ty/m1z8MniWX82u/hleotbo8pybm1= wDn8Ty/m138MnieX83u/hlOotbo8kWbm2Xzz3jmnCy/m138MnieX82u/hleotbo8nJubZcI5vE8= v5td/DJ4nl/Nrv4ZOotbo8nJubXBPcjnnDy/m138MniWX82u/gk6i1ujycm5tlwDn8Syvm138En= iWX82u/gk6i1ujyRZubXAkvo8Syvm138EpOFl/Nrv4JOotbo8rybm1wwOfxLK+bXfwSeJZXza7+= CTqLW6PKcm5tl88o+icLL+bXfwSeJZfza7+CTqLW6PK8m5tfNKx3ObxLL+a3fwSsYWX82u/glep= tbo8pybm1wD6PEsv5td/BKeJZfza7+GU6m1ujycm5tl88jnnCzPm178EniWZ81vfglY1NrdHlZs= 3NsuAc/iWX82vfhk8Sy/m178Er1FndHlOTc2y4EnzPo8Sy/m178Ek4OZ82vfgk6izujycm5tl8w= +jxHM+bXvwSTg5nza9+CTqLW6PJybm2XzD6PEcz5re/BKeI5nzW9+CTqLO6PK8m5tl869szxEcz= L9vTNobq1PG8Z07buqZdjrTT4S1jV1U8x3xzEP0sLo+3rFc117U1mOO7nDr/RidXYj+uPJybmP+= Mvxce1Fq3FPn88uV2H4i70+iuseyV/ovxE3p9FtY9kr/AEY6uxvjy5ci7tl10di+Iu9PotrHslf= 6HxE3p9FtY9kr/ROrsb48nIu7ZdclHY52JvT6Lax7JX+ifETen0V1j2Sv9Dq7G+PJyLu2XXR2L4= ib0+iuseyV/ofETen0V1j2Sv8AQ6uxvjyci5tl11j53ZfiJvT6K6z7JX+jH4h71+ius+yV/odXY= 3x5WLFzbLrg7H8RN6/RXWfZK/0PiJvX6K6z7JX+jXV2N8eV5FzbLrg7H8RN6/RXWfZK/wBD4ib1= +ius+yV/onV2N8eTkXNsuuI7J8RN6/RXWfZK/wBE+Ie9forrPslf6L1djfHk5FzbLrg7H8Q96/R= XWfY6/wBD4h71+ius+x1/onV2N8eTkXNsuuJy7J8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHk5Fz= bLrg7H8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHlORc2y64Ox/EPev0V1n2Ov8AQ+Ie9forrPslf= 6L1djfHk5FzbLrQ7J8Q96/RXWfY6/0Sdh71+ius+yV/onV2N8eWuRc2y61PenDsnxD3r9FdY9kr= /Q+Ie9forrHslf6HV2N8eTkXNsutTHZ2I7N8Qt6fRXWPZK/0Sdh71+iuseyV/odVY3x5Xk3Nsut= 98I7J8Q96/RXWfZK/0T4hb1+ius+yV/odVY3x5OTc2y64yh2H4hb1+ius+yV/ofEPev0V1j2Sv9= DqrG+PJybm2XXkl2P4ib0+iuseyV/oTsTen0V1j2Sv9DqrG+PJybm2XWx2P4h70+ius+yV/ofEP= ekf/lbWPZK/0Oqs748rybm2XXB2L4ib0+i2seyV/ofETen0V1j2Sv8AROqs748rFq5tl1ye9Jni= HZJ2JvT6K6x7JX+jjq2PvLnj4r6v7JX+h1VndHleTc2y66OwfEfeP0Y1f2Sv9D4j7x+jGr+yV/o= x1FrdHleTc2y6+xdi+JG8foxq/slf6J8R94/RjV/ZK/0Ootbo8nKubXXk4dh+JG8foxq/slf6M6= NibzqjrRtbV5j+Er/Q6i1ujycq5tl1+I4jgl2P4ib0+i2seyV/ok7E3p9FtY9kr/RrqbO6PJyrm= 2XW+xOHZPiJvX6K6x7JX+h8RN6fRXWPZK/0XqbO6PKcm5tl1yCYdj+Im9PorrHslf6HxE3p9FtY= 9kr/AEOps7o8nJubZdbHY6tib0+iuseyV/onxF3p9FdY9kr/AEOps7o8pybm2X6PAD8C/WgAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD79v6Vla5rWLpOHTzfybkUUzPdTHnqn6ojmZ+x8D3n= 4P20/ENKr3Hm25jJzKerjxPfTa/wBL7ap/oiPSg9G25pGJoeiYulYVHVs49EUx6ap89U/XM8z97= 9EiOBAAAAAAAAAAAAAAAAAAAAAAAAAcVc8yzrniOzvcYJwjIBiLwgJMCgIkxyvADHjhO9mkwDHh= GRwDDgZcJPcDivVdSjmO/wAz4/O5r1XXrmfNHZDjmBWExDGaWcwA4+IThyTDGY4US3RNdcUx533= 00xTEUxHEQ48S31aetMdsudFYpLLhBEJXhBMJwjJOBUlOIZSgNRAGkAAAAAADl+1tbFx9Qp1PT6= 8eLmVcw6rmHVH7VNy3MVzEfbRFcfbw7PG29OqysKIxaJtaPdm1rU01TPhOra8NVM+jmabtv/dp8= 8g8+OXctH0zS8/B03WrmNTRj4l3I/lK1RMxE00R4W3H1daJ8H/ux5zWNP0rS8bUNWoxaLuPlZdi= dNtXJnjwVVMXq/t4iaKJ+2QdNHoVe2NPs39QsXMejjVbtVGi1TVPyafBeGpmPTz17VH31eh1nc2= HaxKMLDx8Oqi9i4VurOucT23bny+30cRVRT9sA/Dct+xXZtWrlVdqqLtPWpii7TVMRzMcVRE80z= 2d08T53bNcr0jQ8qNCo23j5seL26qsu7cuReu1V24q69E01dWKYmeyOrPZHa59O0HTM7L2xau0U= WreRpt7JyO2qJvVW670xE9WJntiimPkxzx3RyDo47nuCjbuVoGVkY06RayseqjwP8m2sziqJnia= bk3aer3czE8xPZL9CbG36922tq29vYtFrJot0VZc3Lk3qLldqKutT8rqxETPdxPPH1oPPHLTYrn= FqyYrtdSmuKJpm5TFfMxM9lPPMx2d/HDsmLGnaNtfT9Tu6NjapkZ927FVWVNfg7NNuYp6sRRVHy= p55mZn0cQ4rmLh5e2NSzsbTYxrs6pYt2bfXmubdFVFyepEz2zHMR39vZCjrZ//ALveh5ek6VXpu= qadXjaFZzcDDru8Yd3IuZFuu3x1uvXMTant5iY5757H5moXNK0W7i6RG2cbUPCY1m5cyrly5F6/= NyiKubU01RTTETV1Y7J/Z7fOg/A1XSbun6jn4dV6xXOFX1a6puRTNfbx8mmZ5n7I5fnO77ixMa/= rO9712x1rmNMVWZrj5VEzfopn7+JmHz6jc0rRqsTSPi1j5/hcazcuZNdy7F69NyiKubUxPFMRNX= EfJnu7QdVosV141zIiq1FFuaYmJuUxVPPPdTM8zHZ2zEdjG7buWa+pdt126+Inq1RxPExzH88TE= u5a1p+nadc3Jes6faqjT9VsUWbV6KpiKObnNE8TzxPViJ7eezvfRr1yjWt5YuJRomk26LOLZyL1= XhLlqmq3GNRXPhKpqniimO7jieI75lR0S1T4S7TbieOtVFPP2vs3Bptej65naXcu03q8W/Vamum= niKppnjnh2jcmHpdzRcPVcG3pVF2jUIxq503w8WqomnrcT4aP2o476eztfl9I1q7O+NfvRbrm1T= qF2ma+rPViZqniOfT2T/Mg66cw7xqEaNo+uWNufFrHz7dUWabmTcruRfvTcppnrUTTVFMR8rsji= e6OUu4Gk7ewtduXtOx9WvYOrxh49V+qqKOrxc5mqKZjn9mOznv+xR0gdy1W5pOheJafO3MTUJyc= W1k3ci7cuxXXN2mKuLXVqiKYp56sTxPbHa/I3zh42n7sz8PDsVY9i1XEUW6u+mOrE8T9YPxAAAA= AAAIiapiKYmap7ojzg7P0Z7Xubq3RZwqomMO1/hcqvjuoif2ftqns/p8zaaxat2LVFq1RTRbopi= mimmOIpiO6Ih1Dom2rG19sW7d+iIz8ri7lT54njso/3Y/pmXcmQAAAAAAAAAAAAAAAAAAAAAAAA= JEq5nsBhM8zyizCAnHApwCBMAJMIyAYizCAgpwCJwoDFxX6urTxHfLmmYiOZfLXM1VTIsOLhJhn= wgrCYSYZzCcA42Vqjr1xHm86zD6LNHVo+ue2RJZ+bgAQAFSYRkTAMeEZIIgvCA1CAaAAAAAAH06= ZnZemahY1DBvTZybFcV264iJ4n7J7J+9z2Na1Wzb1C3azblNOpRxlxxE+Fjnrdv3893pmPPL88B= 9mJqediadmafj5E28bNiiMi31Ynr9Weae3jmOJ57jN1PPzcHCwsrIm5j4VNVGPRMRHUiqeZjsjm= e30vjAfoX9b1a9Vp1VzNuVTptNNOHzEf4KInrRx6e30+iI7ohlk65q2RVqU3s2uqNTqivMjiIi7= MVdaOeI7OJ9HH8z80B+zjbp3Bj4EYVnUq6bVNE26Jmimblumf82muY61Mds9kTD469W1KqcGrxu= umrAo6mLVRxTVajrTV2THE99Uzz39r4gH6usbh1nVrMWc7M69qKuvNFFui3FVX+lVFMR1qvrnmX= DTrGpU6zb1inJ4zrc0zRd6lPZNMRTT2ccd0R5nwAP09H1/V9Js12MHL6lmuetVauW6blHW7ut1a= 4mIn64jlx5WsanlWsi1k5ly9Tk36ci9NfE1V3KYmIq63fHEVT2cvgAfuZO7dw5Niuxe1GaqLlub= d3i1RE3aZiYnrzFPNc8T31czHmYYO6NfwsGjDxtRqptW4mLczbpqrtR6KK5iaqP92YfjAPvv6zq= d+5n3LuT1q9Q48amaKf8ACcVRVHm7O2Ins4dq0TOro0nEt0b6x8TGooiK7d7EqnJx/wDSptVRRV= MR38cVU/ZHa6MA/Y1/XcjUNQ1auxVVbxNQy/GJtVUxM9k1dTme/mIqnuSNya3FWDXTm9W5gUdTH= ri3RFVNPHV6s1cc1Rx2cVcxx2PyAH6up7h1jUrUWszLiu1Tcpu026bVFFFFVPPE000xER+1PZHf= 5+XHn65q2dby7eVmVXKMzJjKv09WmIruxEx1uIjs757uIfnAP2sPde4cTDpxMfUq6bdFPUt1Tbp= quW6fRRXMdamPqiYfmxnZcadc0+Lv/drl2m9XRxHbXETETz391U9j5wHd9v51y3o+Nas73xcKxR= H+Es5OJVVex557fAzFFX2xxVT2+h1zdmpWtY3JnalYpuU2b92arcXP2urxERz9fEdr8sAAAAAAA= el9A2051fXp1vMtz4np9UTb5jsuXu+I/wB3v+3h5/o+n5WrapjabhW5uZGRciiiIj0+efqjvmfR= Etr9paJjbd0HE0nEj5Fijiqvjia6v86qftlJH60RxACAAAAAAAAAAAAAAAAAAAAAAAABLGFn0AI= TCgjCYRmkwKxOFnsQEFJgESYUBOEZJwCJwqVTERMyDhvzPHVj73C5J5meZ70mIkWGEpMMpiUFY8= Jwz4SY8wFmjrV8z3Q+hLdPVpiPP52QyicLMAMRknAIAAnCgqIyOAa3+TPfHqK5+db948me+PUVz= 8637zaAXKNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/= ACZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrf= vHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW= /ebQBkav8Akz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8me+PUVz8637x5M98eorn51v3m0AZGr/kz= 3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8AJnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3j= yZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfv= NoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/wCTPfHqK5+db948me+PUVz8637zaAMjV/yZ74= 9RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me9/UVz8637zaAMjyroT2Hl6FdydY1zGiz= nTzax7c1RVNFP8AnVdnZzPd9kT6XqpxHogQAAAAAAAAAAAAAAAAAAAAAAAAAAEmFBEADIAGE4SY= ZAZYIzmEmBWKcMkBBU4AcN6fldWO5yV1cRy4e8GKTDLhBWKTHLNOAYcSzs08zz6CI5nhzU08RxA= JwKCMTheAGIpwDHhJZAMRZhAAAfoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAgpwJ7oEwAAAnDGYZgMEZTDC52QK4655q+qGEwzlAYDKYSYBjMehG= REczwC2qe3nj7HIccAInDIBiLwnAJwjIBicLwgIKkwCcHCgPuAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOAEwkwKSCAgo4qp608s657OHHwJhJ= SWRwKx4RlwnAMeGVuniOfSRHayAOABBU4AABJhGQDEXhASUZJMAnBwqA+0AAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJ445VjX2iYYTzyjJ= OBWPBwoDEmF4POBTCgCcIyAYi8IAnCgIKnACKAnCMkQQ4ZU0zVVEQ5vB0ehRmAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABMseFnvBGMwkwz= SYDLBJhnMJwKxWIAE4FAQJAE4UBOEZJwCC8IBwigIkspgopmqrjzA5LNPEcz3y5OfqAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJVJAAAAE= wJMKAxmE4ZpwKwFmAEOABOOBTgEAASYUBiMkmARzW6eI+1x245q+qHNAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgnHCn3ggqcCgAAAg= nCgMOEZpMCsRZhACYAEFSYABlbjmeQZ0xxCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJg4SVAQAXIAGAATCJMMgMsOEZ8JMCsRZ= QDjlyUxxHEJRHnZAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAACJMCgIHCCqAAAInCcdrIgFAFAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAO04ARBUD= IAKR2qQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAHHaAmAAUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAmU5fkbu3Hpe19LjU9YvV2cTwlNublNE19WZ7uYjt4YbZ3PoW5sa= 5f0LU7ObTa4i5FHMVUc88cxMRMd09/oa5dfp9WPZiblMVenPu/a5OWq1vpe3roOu5+PGfb1DGt5= VyKbWXR1uIiueyKo4q7vrbI7M1ivX9radrNePGPVmY9N2bcVdaKZnzc+d6dVobumiKqu0vNptbb= 1EzTT3h+z5uSJ5dO6Yd31bI2Hm63Zooryommzi0V/szdqniOfTERzPHn4eDbL0bpw6QdMr3Hibv= vYWLeuTFqq/m3LNN3iZiZoot0zEUxMTHdH1PI9jarkeG5WD0j7J6MLtOq9IGlYesXdXpqt6hm36= 71qLE2uPBc3LVUxVNVMzx1fv8z07B3Fp+kbJ0nVNzbg06nwuHZm7m1XIotZFybcTNVHMRzFU8zE= REdnmgHZB1XTekXY+pVZFOBuXAyJxsevJvRRXM9S1RHNVc9ndEPmp6VejqqqKY3fpfMzx23Jj/k= DuY+LK1fS8XSf5WydRxLWn+Di541Xdpi11Z7qutzxxPMPwNN6SNi6nqFjTsDc+n5GXfri3atUVz= M11T3RHYDtg8p6LN1alas7l1DeG/ND1jBwq7c0V4nERiUzVXExc4tUds/Jj/O7pdlsdKXR5evUW= qN36V1q54jrXurH889kA7iJTVTXTFVMxVTMcxMd0qAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADy/wCE5+7G5/F2v+bqXwR+7c3= /AA3/ALrtvwnP3Y3P4u1/XLqXwRv2dzf8L/7r7Vr7sq+v+HxLv3jT9Hie5P8AKHUv4u7/AG5be9= EP7sdv/wADR/U1C3J/lFqX8Xd/ty296If3Zbf/AIGj+p6uNfYW/wB/Dz8H+3ufv5dD+GBjX7/Rf= i3bVM1UY+qWrl3jzUzbuUxP4qoj73Yvg46jg53RFotvEv267mLbqs37dNUTVbriursqjzc9/wBk= u5bm0TT9x6Fl6LqtiL2Hl25ouU88THniYnzTE8TE+mHgWb8GOvxu7Vp28PB48zzRTew5muI9EzF= cRP28R9kPzb9G7V8MCf8Awtxv9q2v7u68d6UMvJzNf2Fpl/TsnVMTH29p82sC1VVE5M1URNUR1Y= meZ4insjn5L1ijoLyqejC9s6rc1mq7c1enUIyZxZ4iItdTqdXrffzz9z9je3Q1i7k0Lb1q1rN7T= ta0TBs4lrOtW+YrptxHHNPWiY7YmYmKuznzivP9sY2NOi7xrp6KMzaVdvbGfNObeuZExXPUiPB/= 4SIjmYmZ9PyX42wdibY1b4PmvbozdPmvV8SMmbORF2uJp6lFM09kTxPb9T1HQeineGLa1bH1jpF= zNWxtQ0vJwabN6m5VTRVdo6sXOJrmJ47X6u0+jK/oXRJquxatYt37mfF+IyosTTFHhKYj9nrdvH= HpEa769m5eR0NbD0i7l3KMK/qGb4Tmrsjq3KIp/m8JXx9rZTbnQ/sHRM7C1LT9GqpzMOqm5avVZ= FyqrrR3VTHW45+516joP0/J6LsTZ+p6rNzKwsi7kY2fZs9WaJrntiaJmeae7mOY7o7YfPszoh3h= oGv6Zm3ekjPzMDCvUVThzF2mi5RT/mcTcmIjj6uAeadE2p6JpG0OkrL3Fg1ahp/hseivFprmnw1= U3LvVp5ieYjrcdvoj7nXN3VafnbOu52n9EWZodiuKLlrVqb+RctUUzVEd9VPVmKu7v75h7hoHQZ= bxNu7o0XUtc8Yt65ctXbdyzj9SrHrt1VVUzxNU9btqj0d0+l+Fe6BN23dH/kW50l5NemRTFEYlV= i5NrqxMTEdXwnHETEcfYD0noAy8jN6H9u5GVdqu3IxqrfWq7+rRcqopj7qaYj7ne3XOjPbde0Nk= adty5l05dWFTXTN6mjqRX1q6qu7meP2uHYwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAeX/Cc/djc/i7X9cupfBH/AGdzf8L/AO= 67b8Jz92Nz+Ltf1y6l8Ef9nc3/AA3/ALr7Vr7sq+v+HxL33lT9Hie5P8otS/i7v9uW3vRD+7Hb/= wDA0f1NQtyf5Q6l/F3f7ctvOiGf/DHb38DR/U9XGvsLf7+Hn4P9vc/fy7NnV1W8DIuUTxVTaqmJ= 9ExDVLYm6OnPe3js7d12rIjCqoi914x7fV6/W6v7VMc/sy2r1P8AxZlf6mv+zLX34Fn/AJW7P9Z= i/wBV5+bfo4fNsTpR37t3pKs7Q6RqvC05N2ixVNy3RFdmqv8AYrpqojiqiZmOe/7uJeoba1nduT= 0raxpeoZej16FZornFtWL9qrJpmJp469EVdaI7Z74jzPFfhN128zp10jGwZivJoxsWzXFM9sXJv= VzEfbxVT/PD7sXUcnSOnLpL1PDq6uTi6TmXbVXHPFcRb4nj6pBsVnbk2/p+TVjZ+u6Xi3qe+3ey= 6KKo+2Jnl1rpG3RmfE69n7G1nQr+ZayLdFV29mWvA0xPPMTVNUUxPojl4r0KdFW3977JzN0biy9= QyM25lXojwd+Kf2YieapmJmapmZnnn0OmaHER8H/c9Md0a3iR/wCmoHs/TdvzXdv9F+3snA17Dx= dx5FePVmU4tdq51qarNc11Ux2xNE1xHFUdnd2vS9qbq0jM2liajka7p1ybWJYqzbvjNHFquumP2= 5ieKZmrmO3jta9dN+29Lt9C+yN1027n8qXMPAwaq+vPV8F4tXXx1e7nmO93bL2z0d7G6FcnM1TE= zq8PW8bCqy7Nq/M3L92ni5RTRM9lPbNUz9UT9gPXMfde2Mm/RYxtxaReu1zxTRRmW6qqp9ERE9r= zLpX3duLSOmnZ+habqdzH03Pmz4zYiimYuda9NM8zMcx2dnZLwLeU7Mu7fjJ27s3cek3+vTVby8= nIm5Zqp9Hd5+Y4mJ9DvWtZuVqO/uh/Nzb1V/Iu4GFNy5VPNVc+GmOZnzzPpBtTAQAAAAAAAD8Pf= G4MbbW28rVL/wAqqinq2aP9O5P7Mf8AOfqiXgHlU33zP/xqI+rxWz7gNmxrJ5VN9+u49ks+4eVT= ffruPZLPuLgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNj= WTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w= 8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMD= ZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZL= PuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7= hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx= 7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/Xcey= WfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTff= ruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367= j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyq= b79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+= /XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsay= eVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHl= U3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbN= gIAAAAPL/hOfuxufxdr+uXSfgp52FiVbioyszHsVXZxvBxduxTNXHheeOe/vh7zq+mafq2L4pqe= Fj5mP1oqm3eoiqnmO6eJfkVbE2ZMdu19In/AISj9Hvt6ymnTTYmO85y+dd0lVWpi9E9vhrruLok= 31d1LNzsTSrWXYu37lymbWVb5mmapmOyZh6F0e9It3auiYW3t57c1TR7WHbps282rHrm3VEeers= 7Pu5ek2NlbYxuZw9IsYcz3zi1VWZ/nomJc8bdtW4mnG1LU7duqOKrdzInIoqj0cXet2fZw6XuIc= +iKLsZiP0Ys6CbNc125xMvtsZeJrGj13tOy7GTZv2qot3bdcVUzzHHfDWvTPg/9JGmzd/k3dmmY= XhJia/F8zIt9bjnjnq0RzxzP873jE2dj6ZkXM3Rb9Om5NUzM02LfVsXezs8Ja56sz/81PVn63Z8= abk2om7TTTc4+VFM8xz9T51WM+z6VE1Y93h3RZ0E39A3RZ3LurWLWpZuPc8LZs2Yqqo8J5q6q6+= 2qY74jiO2Inme5+3onRdnWeljc259Uv4ORpGtY17H8Woqr8L1bnU5ir5MRHZTPdPnetJMcstNVq= 9nZ+1bmda2X0y6BjaZc5uV2bupRbrniJ7Jpp60TPHZzHHPofN0PbM1Pe/Q9uLR9Ov41i7d1excp= u5E1RRPUo5qj5MTPPyo8z2SvoG6Na7lVyrRsiaqp5n/AL7e7/xO97b0DSNt6Ta0nRMG1hYdrnq2= 6OZ5nzzMz2zP1zMyK6HvXozydzdD2jbNuZ9jH1DS7ONNF6Imq1VdtWptzE9kT1Ziqrt457ux1ux= 0R7y1Xo+z9r7t3VjZUW6sevSK7XWuU4824rpmmrmmmZiYqpjvmY4+rt7rujU83P3nZ0rCuX7GNp= trwmfNNVdEVTdpmLcxNMTz1erNXFUxEzMejs65rd/eutZ1i9GHrODHgZt0049FVvwXhOrz1p5+X= VT16O2eI5t3PNPLtRYmr5eeq/jtDquq9EfTBqm3adu5+9tIyNLt00UU49ddziIo46kcxa57OI87= 9+50Sa/Xruws/wAf0zwe3MbHs5Udevm5Nu5NUzR8ntjifPw7Bcyt5YOhYFjBwL1zxm1NNyK4u1X= LHWimmOZqmaoqpmvv7qot1TERzD6NG1HdOu61gWNS0vK0/CouU5VdUW6rfbFuKvBVVTPyoiq5TH= PEczbq7OJ7HJnGcrzo7YeiUqlKuLsAAAAJVPCuidM27I25tmbGLd6uo5vNux1Z4qt0/wCdX90dk= fXMegHlXTduyNwbknT8S51sDT5mimY7q7ndVV/RxH2c+d5+faKACgAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADdABkAAAADgAODgAOCIiO4AAAAAfLX= p2Bczac65hY9WVTTFNN6bUTXERPPEVd/D6erT6FBMJ1Y9BFMQoKAAAAATPAOLMyLGLi3cnIuU27= Vqia66qp7KaYjmZaqdIG5L26dzZGp1zVFjnqY1uf8AMtx3R9s98/XL0/4Qe6/A41G18K5/hL0Rc= zJj/No76aPv75+qI9LxBYABQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAABugAyAAAAAAAAAAAAAAAAAAAAAADG5+yANXemD94+sf62n+xS6mCgAoAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//9k=3D= " width=3D"793" height=3D"1121" alt=3D"" style=3D"margin-left:-1pt; positio= n:absolute" /><img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAY= ABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEB= AQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAAbAE0DASIAAhEBAxEB/8QAGwAAAQ= UBAQAAAAAAAAAAAAAABwUGCAkKAgT/xAApEAABBAMAAQQCAgIDAAAAAAAFAwQGBwECCAkREhMUA= BUKFiEiGCUy/8QAFwEAAwEAAAAAAAAAAAAAAAAAAAECA//EACkRAQACAAYBAwMFAQAAAAAAAAEC= EQASITFBUQNxkfATImEygaHB8dH/2gAMAwEAAhEDEQA/ALAbx6gFUHCruua3rKsFMMDvK/BjZu2= mcwdmDZDW+LBBRGGRYS3M6bOyDrRuPBR8MxTTQatUEUk9Go5nvujzW3N/m+6DizK0o6FqbmeLnG= qRiK1tedm26ftJ0HdJ4cMNZg3jZduPhxR033S3cDFMvXg7ffZF4gi4TUQ1DjUFHp95X/HtX1jtG= j+vMdg+QCyRAYpjTcPIbgrE/dUprRB6grn4FnkcMMk5QE13122/asENE9d9lM6ZcD3yLdzI0R2h= NAl83CT7Urt/ZDeV8go8yOCkS5trYN0fXsL2s8JJW8FS+6+iVIF5XN443LyCQNp+mOeGmjF21EK= I75QhG5S1Va1V6/c29TGEPGOaaqynLmVVZ0n5DeivTHcTv/oqsb6R5H7biswo6/zAR/JqzMArSm= cgqO9I6I2/7l9WUpWKtt1ioVPbRcvGSCSRhmh7190fj11yoSWJnproe4bApHmWTvI8ypSLBZX0H= fVjy+ekINWmZQyfFYrBQQNjJWDmY2KcCMFpAuLw/Yj4+Eci3pV3osWHN1mF5GZrA7Y8aNMXvGul= pv1VN6i8idFo863tPapzVUrLE5OeZx2YQmOqpxeHpS6OrRAhJ3hMoNE5HkHUc0YPfsPY5ndB78/= T6q4QO8jXAnQBpKuMd1OJVcHPFklXbIKIs0zJaNhVYyylxUkKbIimtiRArWwwuCjT9ym5PBZfs5= EJqrNXSP4EIxnu/cLlWyzLw+51V+k/SieWm0lBlWaVWINFrrduv8XgftJJ1jV1HVv1jM7KK3Nyz= OZElFJjJGidg1PbVEE3koViI0xY0FdziRMlYo8K/RWXfJP2bwWFLhzLhtuye/Lp4Zl0nI5b0Xjk= +sOi67qGaBq2dW9Zln37c8hDRWBwJogs9xkPH1pgJfTGSKjGrs45HNXrVsGjzfcyTX0bKoZ3APK= sIiPEfgmeePSS5Jp9w972bcZUnz2SeiSk4rlmYsJhVyNlyEKIcO14pXounKlhk+SOG9m6T82a2R= GLrOHCLNKQEAhXKzqy+v8AmbsOrqIlqnW4qt57yjL+icaAa4K27X1QDKoJVgpZSOiJuEyfdyAFy= cQmDKMCxYWXL6CcPXbdZv8AhljnC6qN5RDkD8/7d4bCB5IRuhtY5mmq4sdSzfbCGPuO44dSy/W4= XqSOdh8fxmfK17c9h1i9sWBz2jHO0n/q7SdyOJuZiabG63cOXIo8qTaKtSDWEGB0ty2WH7OstyX= OLWuKVTKa11T1hsYKIp6t07h6S6LuGxZ3pU9BVw51eKBnBFgOkCL+Uy6TpCyboJH2jlsjoOYOHz= t1jZRk2dxFuvPcPOXJ9wcqZ6Fqo4968aTzmioPHdI5Nv0TYcBqGVR4hUhu3x12JZZy6PxCFi/t2= XGSVgJEhI6JtI4D2cInd8M2xUBs4PXAHsnjW3Fa70U7RgNGlucZbeshMwqoLJtujGIRq7o2cT8S= QFbxM0fzFhRuItXxRFscWIk09ESe7RYU/piZxXcdO6y+9b/5gfH4zyRjdXGX25nVMtCK8Mni67M= eOM9GWI3gkxvSuevYx2vR1Rrx9XohjBGVzUzdlHxOULKIjLWVgM2O4cS2tNMprOnZVog2zqIbuS= LN07+i7R10HeLWVGpMn0u1eSo/IwY6wK9fRz9wfJyBJk2PVXHXbvIpwYdPlWrIhugi+2bNlE2m7= lRd5hHDh04VVoL6GmthjrX6E6Cv2CVXTF59F8AN/HFzHxTVNsxa47Cswkdlw6SnbqmOYcq5YgK6= r9qL1RZHjCnwiophdu9eNyWGg97dz4co+tE490FFnK/2nEbNUkBXc+u2cOFxFKxwestrnbGNs6q= qN9t9c5xjOdc49cev4yo+SKB+mWxVbb12aGnBi4wgebxxrRjNYqpplRpdxd8YfLn8j7Cddx9D8v= 29KRnOz6hO4b8kfLPUcc0dfs6pt6HdDT4jGy01TWV2bLRQ5ursHkGc4SHJs1vcV1wOwuu31HVX5= 1OrYRChQK+vHVP7qm2g9m3Y2/ypOIJKams7OqOmjWTN9Cb5uTiTQtrjV2okRw4bMsLb6Jb7I667= Zx8d28w0aZ7f7IMEoP8AYIleqehCRBxiSy9D7D19bcudOl/hbn0kEsquFVFPjRSTS093tT000xr= rgZxSFMYAJ3AweR2dEAm+m+mREbuO2gw3Gu+ce/2MR81QbJ529c+uyaeu2fXP+fxhW2h13t3eKp= 3jVNNN6e3Zv+e8XG+VDyg2VLJXAL769GQytlqaIPpVyF4+4zLh01Oa2a7HOBjG8egzwPfA9vvFx= zp6lHGDVPVBsu9dNhqi7h0R11hBzj5KeufJO9sWn1Kh5OKB4dCmE7NCrXjsvPAiiT2ewyuhDFiP= Fi5KvkqtI5yFxo6UZoIMmmrt2q8SwjjXeAZfmelz5B0XOxUiaKvVdlnhMtN58RIO1tv/AEq5ePJ= Qs4XU29Meu6qm22fT/Ofwl0/AYzRBY6cqJEvBS0kCpRw29ESmU7KkAyRoVI27RXD0y7T02ZyAAE= NMXSOiTxgUFMXzNwg5bpqajEUUFNn5898GSK5pBKXb1pxtxg82F3r0B4843AZZG6E4fizS/GDyR= QzepB7/AAamMIDNxjF9MCmG6LMkOBDZ3tKaq3YSDdkUTsOs7FD6CsJRvd85enP3ks7b8kGLCqeP= UFyzPUYtHBUmMwuxGBR63PjnskGR5XUGLeakUipQQkRWPOWaOmj79KLKOGOrhyho2VhXMaSrifN= 4k0mYkxJW8Fj5CLRBMtNJu6wAjxWay6xiQphtvI/fo1fTmeTGUOdd9t91S8iJudt85X9NV2rawi= NMF8yKqdJJADuXgF/+3jE6nQx/h5GTjORgXGrlCSYV1UFnB7Mk1zrtj2uW+mdsba+7XM5IXeUvv= 56YX0vHd5I2c1rx/wAMSGsLvK7PHu2RUjlJ8PRGeHcif7fC6wikxHTAGIkYnSSwwgfOLR8WDKDp= JHV2RtmzDyQquLSetUCrNg9wogi4OffK71p5AJHKqKWqrlR8xRhD+Yv4/ZwaSn2EqQHHY6CRj0a= iTBnITEvlaz6SsyDYIEDviqQQaeON0FEwy+uY6WHG2VsRYDCbHISqYxWNkHhIMGNTeZuG7R883W= yo4331P6OHe6WrhdFlh6s51GtllGo/Vq23yllCqisIZSZ97J6sYk4abJiVQBJ4NlEqW1IB1iA0v= 9B60fmnjJ0igYDhzLLK7ZTdgZECy7HduRHM3KLyR00NNTDfHBczEs0Hn5pg6T7ubp3x5x+qLAZ8= gcm1mn0FGjhYUQhMLNBjaGI0WQYkYrJ13TMWSYlUGD2OSNQFsptq2ESEGq8SbPt1WrfXr/Fu67n= vbvPHWd12GHj8dkX/ACIARHZhGk3Wo3LIDUkNWar41drKrYXUySVwr/v7c4109uMemfXFvacXZ3= SNbjLaMTexB7A44kg9nLbGsA0gNNvhYwG+IDU3kmUwOVfCw4tq+0ZfAi8+g2WcpKuEtVfzZ5/FU= raF1lyF0YLhAbIRiR6Ry/eIYJFiXzO8VjBm+FflLP36yfoiknp8aSmiX+vu9nvzttkyR3ovDIRi= 5gpqr5r+sf/Z" width=3D"77" height=3D"27" alt=3D"" style=3D"margin-left:441.= 05pt; position:absolute" /><svg font-family=3D"Times New Roman= " font-size=3D"16" height=3D"41.33" version=3D"1.1" width=3D"209.31" xmlns= =3D"http://www.w3.org/2000/svg" style=3D"width:209.31px; height:41.33px; fo= nt-family:'Times New Roman'; font-size:16px" xmlns:xlink=3D"http://www.w3.o= rg/1999/xlink"><defs /><g><g><path d=3D"M0,0 L209,0 L209,0 L209,41 L209,41 = L0,41 Z" fill=3D"#7c7c7c" fill-rule=3D"evenodd" /></g></g></svg>= <a href=3D"http://www.anatomiadigital.org/" style=3D"tex= t-decoration:none">www.anatomiadigital.org</a>ISSN: 2697-3391</= p>Vol.</s= pan> = 8 No. 2.1, pp. 19</s= pan> = =E2=80=93<span= class=3D"awspan" style=3D"letter-spacing:-0.2pt; color:#ffffff"> <s= pan class=3D"awspan" style=3D"color:#ffffff">33, abril - mayo 2025 Revista= en ciencias m=C3=A9dicas, salud p=C3=BAblica Art=C3=ADculo de revisi=C3=B3= n bibliogr=C3=A1fica.L= as <spa= n class=3D"awspan">causas de hipoacusia</sp= an> tras una lesi=C3=B3n<sp= an class=3D"awspan" style=3D"letter-spacing:1.3pt"> en </sp= an>la cabeza se</spa= n> clasifican en dos tipos: </sp= an>da=C3=B1o mec=C3=A1nico y</span= > da=C3=B1o neurol=C3=B3gico; el <= span class=3D"awspan">da=C3=B1o mec=C3=A1nico<span= class=3D"awspan" style=3D"letter-spacing:-0.5pt"> ocurre = cuando el o=C3=ADdo <= /span>no logra = transmitir el = sonido al c= erebro, </span= >interfiriendo con l= a <span= class=3D"awspan">capacidad del o=C3=ADdo</= span> para convertir las<sp= an class=3D"awspan" style=3D"letter-spacing:1.8pt"> ondas sonoras en se=C3=B1ales</span= > que el cerebro = pueda <= span class=3D"awspan">interpretar. Por otro= lado, el da=C3=B1o<= span class=3D"awspan" style=3D"letter-spacing:0.9pt"> neurol=C3=B3gico afecta directamente la </spa= n>capacidad del = cerebro </spa= n>para procesar = el <sp= an class=3D"awspan">sonido, incluso en</s= pan> pacientes cuyos o=C3=ADdos est=C3=A1n <= /span>sanos y func= ionales, </sp= an>en este caso,</= span> aunque las estructuras</s= pan> del o=C3=ADdo no est=C3=A9= n <spa= n class=3D"awspan">da=C3=B1adas, el cereb= ro <s= pan class=3D"awspan">no puede interpretar= <spa= n class=3D"awspan">las se=C3=B1ales audit= ivas, = lo que tambi=C3=A9= n <sp= an class=3D"awspan">resulta en una p=C3=A9rdida de la audici=C3=B3n. (3=E2= =80=935).Mec=C3=A1nica= mente, = la p=C3=A9rdida audi= tiva <s= pan class=3D"awspan">depende de la<s= pan class=3D"awspan" style=3D"letter-spacing:1.1pt"> fuerza= externa que causa </span= >el trauma, cuando el <= span class=3D"awspan">trauma afecta dir= ectamente </= span>el o=C3=ADdo interno, <= /span>como en el<= /span> <span= class=3D"awspan">caso de una<spa= n class=3D"awspan" style=3D"letter-spacing:-0.15pt"> fractura del hueso temporal,</span= > puede provocar p=C3=A9rdida</sp= an> auditiva debido al<span= class=3D"awspan" style=3D"letter-spacing:0.6pt"> da=C3=B1o= en estructuras que = van desde el canal auditivo= externo hasta la c=C3=B3clea= ; el = sonido viaja a tr= av=C3=A9s del canal auditivo externo, h= aciendo </span= >vibrar la membrana<= /span> timp=C3=A1nica, cuya vibrac= i=C3=B3n </spa= n>es transmitida p= or <spa= n class=3D"awspan">los huesos de la cadena osicular hasta<= /span> la ventana oval. En</sp= an> este punto, la energ=C3=ADa mec=C3=A1nica<= /span> de la vibraci=C3=B3n induc= ida <sp= an class=3D"awspan">por el sonido<sp= an class=3D"awspan" style=3D"letter-spacing:0.8pt"> se </sp= an>convierte en una<= /span> onda de compresi=C3=B3n</s= pan> del flujo a trav=C3=A9s</spa= n> de= la c=C3=B3clea, esta </spa= n>variaci=C3=B3n en el <sp= an class=3D"awspan">flujo activa las= c=C3=A9lulas ciliadas cocleares= , <span= class=3D"awspan">que inducen sinapsis en</= span> las neuronas cocleares</span= > que forman el octavo </span= >nervio craneal. Posteriormente,</sp= an> la se=C3=B1al es transmitida= desde este n= ervio <= span class=3D"awspan">al n=C3=BAcleo coclea= r <span= class=3D"awspan">del tronco encef=C3=A1lico y finalmente l= lega a la corteza auditiva en el l=C3=B3bulo temporal. (6,7).Uno de<span= class=3D"awspan" style=3D"letter-spacing:-0.25pt"> los <= /span>efectos m=C3=A1s significativos de la hipoacusia es la dificultad= en la com= unicaci=C3=B3n con otros individuos,</span= > obstaculizando las interaccione= s <spa= n class=3D"awspan">sociales de quien</spa= n> la= padece, como consecuencia,= se puede afectar<sp= an class=3D"awspan" style=3D"letter-spacing:3.8pt"> la </sp= an>productividad en el <sp= an class=3D"awspan">entorno laboral, famili= ar <spa= n class=3D"awspan">o emocional desatando = efectos </spa= n>emocionales profundos,<spa= n class=3D"awspan" style=3D"letter-spacing:3.15pt"> como <= /span>aislamiento, ansiedad<= span class=3D"awspan" style=3D"letter-spacing:3.15pt"> y frustraci=C3=B3n. (6,8).A lo largo = de <spa= n class=3D"awspan">la vida se han = identificado factores de <s= pan class=3D"awspan">riesgo y factores</spa= n> protectores que influyen en</s= pan> la salud auditiva,<= span class=3D"awspan" style=3D"letter-spacing:1.45pt"> entre los factores<s= pan class=3D"awspan" style=3D"letter-spacing:1.45pt"> de <= /span>riesgo se = incluye: </sp= an>predisposiciones gen=C3=A9ticas, = problemas </sp= an>de salud perinata= les, <s= pan class=3D"awspan">infecciones del sistem= a <span= class=3D"awspan">nervioso central y= del o=C3=ADdo en la<sp= an class=3D"awspan" style=3D"letter-spacing:1.85pt"> infancia, exposici=C3=B3n laboral= <span= class=3D"awspan">a sustancias qu=C3=ADmi= cas <s= pan class=3D"awspan">y ruidos, traumas</s= pan> en la cabeza o<span= class=3D"awspan" style=3D"letter-spacing:0.15pt"> el </spa= n>o=C3=ADdo, tabaquismo,<spa= n class=3D"awspan" style=3D"letter-spacing:0.15pt"> uso </= span>de medicamentos otot=C3=B3xicos y deficiencia<sp= an class=3D"awspan" style=3D"letter-spacing:0.15pt"> nutricional, en adultos mayores= <spa= n class=3D"awspan">se destacan tambi=C3= =A9n = la otosclerosis y <sp= an class=3D"awspan">la degeneraci=C3=B3n neurosensorial. Entre los factores</span= > protectores se encuentran</sp= an> la nutrici=C3=B3n adecuada,= <span= class=3D"awspan">la lactancia materna, p= r=C3=A1cticas= adecuadas de higiene </= span>del o=C3=ADdo, la <= span class=3D"awspan">protecci=C3=B3n frente a = ruidos y traumatis= mos craneoencef=C3=A1licos, la vacunaci= =C3=B3n </spa= n>y un estilo</spa= n> de vida saludable.<sp= an class=3D"awspan" style=3D"letter-spacing:1.05pt"> Fomentar estos h=C3=A1bitos ayud= a <spa= n class=3D"awspan">a disminuir el<= span class=3D"awspan" style=3D"letter-spacing:1.35pt"> impacto de los factores = de riesgo, = promoviendo <= /span>una mejor = salud auditiva a lo largo del tiempo. (9=E2=80=9311).La base del = diagn=C3=B3stico es la </spa= n>elaboraci=C3=B3n de una </= span>buena historia cl=C3=ADnica, es as=C3=AD<s= pan class=3D"awspan" style=3D"letter-spacing:-0.55pt"> que, durante el interrogatori= o <spa= n class=3D"awspan">se debe recopilar</spa= n> datos como el tiempo </s= pan>de evoluci=C3=B3n e = instauraci=C3=B3n, adem=C3=A1s, es</= span> necesario preguntar si</sp= an> el paciente experimenta</span= > s=C3=ADntomas = complementariosEsta<spa= n class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spacin= g:-0.2pt"> revista est=C3=A1 </span= >protegid= a bajo una </spa= n>licenci= a Creative Commons en la 4.0 </span= >Internat= ional. Copia de la licencia: <a href=3D"http://cre= ativecommons.org/licenses/by-nc-sa/4.0/" style=3D"text-decoration:none"></a= ><a href=3D"http://creativec= ommons.org/licenses/by-nc-sa/4.0/" style=3D"text-decoration:none">http://creativecommons.org/licenses/by-nc-sa/4.= 0/</a>D</sp= an> i a <= /span>g n =C3=B3 s<s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-s= pacing:0.45pt; color:#ffffff"> t i </span= >c o= M =C3=A9 d i<s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-s= pacing:0.45pt; color:#ffffff"> c oP</span= > =C3=A1 g i n <= span class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#= ffffff">a 23 |</span= > 3= 3<img src=3D"data:image/jpeg;base64,/9j/4AAQSkZ= JRgABAQEAYABgAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFhwXEx= QaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh4eH= h4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCARhAxkDASIAAhEBAxEB= /8QAHAABAQACAwEBAAAAAAAAAAAAAAECCAMGBwQF/8QAWBABAAEDAwAECAsDBgsGAwkAAAECAwQ= FBhEHEiExExQXQVFVlNIIFiJUVmFxgZKT0TI3dBWRobGysyM1NkJSc3WChMHTGCQnM6LDJWJyJk= NFRmOjwuHw/8QAGwEBAQEBAQEBAQAAAAAAAAAAAAECAwQFBgf/xAA1EQEAAQMCBQMBBgUEAwAAA= AAAAQIDEQRSBRMUMZESIUFxMzVRYYHwFSJCodEGIzKxNMHh/9oADAMBAAIRAxEAPwDpoD+lPxQA= NEosoAAECSqSLKAKgAkkJPeE94pIACT3Is9yAABAkqkiysBAIkosoKkrHckrHcqACCSEiwACglX= mVKvMCEhIIAKAJJAAQsJKLKKSACD9HDteCt8z+1V2y+XCtde51qo+TT/W/RYmWK5+BjPeyYz3ss= wANKAAJKpIAAADIAKgAqsZCQPgAlCEqnsYkiNQkosoKMZ7e1ap8zGGKpy1TAksuWNTDeQFpjsIg= mQWYRqUhJ7wnvAAASUVBRJUnu5QYVT5mE9yzPM8pPc5z7ukIkwqpgliLKfZ2osLTT1qo9Dk+5KY= 6sfWy5daacQ5VVe76AHocAAaJRZQAAIElUkhZQBUB9uBpebm4OdnY9masbAt03Mi5PZFMVVRTTH= 2zM931T6Hb+jros17fGi3tV0vO02xZs5E4805FdcVTVFNNUzHVpmOPlR/S897VWrNM1VziOzrbs= 13JxTDoU96PY5+DxvD1tof5t3/AKZ/2eN3+ttD/Nu/9N5f4tpN7t0N/a8cOXreV8H/AHxZpmbWT= o2R6KaMiuJn8VEQ6JuzZe59rXONc0jIxrfPEXojr2pnzcV08xz9XPLva12nvTiiuJlzr0123Gaq= XX57kWe5HrcAAIElUkVYAESUWU5gWElY7klY7lQAQSQkWAAUEq8ypV5gQkJBABQBJIACFhJRZRS= RaYmqqKYjmZ7kfZgWv/vao+qlJnDMziH02aIt24pjzd7MHNyGM97JjPeLAA0oAAkqkgAAAMgAqA= CqxkJA+BJWUSSElJhkiNMZRlLCe/hJnCwkx28oyYzDm3EiSqSKR3s0pjiFVBOFFGEwMp704BAQC= UVEX4GFc89jKZ4hxpVKwhCjnhtAEBaKeZ59COWmOIappzOSZSUZVMeJdXPD6QHVxABolFlAAAgS= VSSFlHPp2HlajqGPgYVmq/k5FyLdq3T31VTPEQ4GxXwZ9gzh4kby1SzHh8imY0+irvotz2Tc+qa= u6Pq+15Nfq6dLamue/wAO+msTfuRTD6N57OxdlfB71LTbc03MqvwNzLvRH/mXJuUc9v8Aox3R/w= D3L7fgm/u6zv8Aa1z+6tP3/hDTHkk1iP8AVf3tL8D4Jv7us7/a1z+6tPy1Vyq5oaqqu81f+n26a= Io1VNMfg9T1vVcDRdMvanqeTTjYlmIm5dqiZinmYiO765h1WOljo9nj/wC02L+Cv3XF0/8A7pNc= /wBXb/vaGnTpwzhlGstzVVMxiWdbra7FcU0w3m0Ddm29fqmjR9bwc2umOardq9E1xHpmnv4+5+n= nYuNnYl3GzLFvIx7tM03LdymKqao9ExPe0MxMnIw8q3lYl65Yv2qoqt3LdXVqpmO6Yluf0S7hvb= o6P9L1fJqpqyq7c28iYjjm5RVNMzx5ueOfvcuI8MnR4rpnMNaTWRqM01R7tcOnfYNGy9ft39Opq= /kjP5qsRM8zarj9qiZ9HbEx9U/VMvN23PwktMtZ/RVnXqrcVXMK7ayLc+emetFM/wDpqlqfpUzT= qeLNNm1fmL1HFu9zNFfyo7KuO3ifPw/QcJ1VV/TZq7x7Pl66zFu9iO0vedP6O8Kvoyo29XoVVWu= 5GlVanGp+Kz1aLvXiqjH8Jx2VdXsmOfNM+d0jb3Rxo2dtjb+rapum9p97XMivGxrNOnzdiLkXJo= iJqiuO/iPNHe9Kubc6b691U6/Tq2k0RExP8n05t6MTiKerx4P0T39/f2vl1HY3ShmWtIteKbUsW= 9J1CvPxrdm7dinwlVybk0zz/m8zMREcdnnfJt6qujMc2Pec9/r7f9PbVYpn+ifb2dH0Dojrz8/V= sHLz9Qt3NPz6sTwuPp/hbVcRETFXWmunie3mae3jsfp6T0c7Z0zTd9YW48+u5l6NNiLeXasVT4C= iunrU3IoiviqaueJpnu6vf2ubeWsdJG0IzLm5Ns6Jm6fnZ3jkVXLNV6xavcRT8maa4mn7Kvr487= 8nae6N+7n3BuTU9I21pesRqduxTqWHctc2OKKerbmIqrie6mrzz5/q49M16u7RNfrj0+3aY/Jyx= ZomKfT7vjwejrQ6NO0S/rW6b2De1+5VTptu3gzcjq9aIoruT1o463NPZ5ut9U8fTp3RRh0xkU63= uSvBu29bjR7UWcKbsXblUUzRVz1o4iet9z5r2+Nz7UvWdC1vbeiXcrSrs3cOnMx+vXhTX8uIomm= rjiOYmO/js9Ecfi0dIm4PFqbV+nEya41mjWartyietXfpiOIniYjqdndERPomHoijX1xmmr2+sf= 2/RxmrTU94di3H0V4Gn2cy5p25pz69O1CxhZ1m5gzamibtVMRMT1pir9qP1fqal0c0a/u/WsOa6= 8K1pVy3i0fyZpEeBqiaIq5nm5z1uZ7eZqn6+50zL6SNcyKtXm5i6fH8rZtnMv8AFuv5NdqYmmKf= ldkT1Y555+52La28d87o1DW7OnbY0fXIzr1Gbk4l6zM27VcUxRFVPNcT3RHfM/c5XLeuop9VVXb= 5zHzhuivTVTiI7uldI21ruzt15GhXcujL8FTRXRepo6nWpqjmPk8zxP3y69Hc7V0sZu4s/eV+/u= jTLGnal4K3TVYsxxTTTFPyZ/aq831v1dS6JN1afs+rdF+5p04NONTkzFN6qa+pVETHZ1e/tjzvq= WtTTRao51UZn+7x12Zqrq9Ee0OgAPY86SEuy9H+ydY3vn5OFo1eLTdx7UXa/D3Jpjjnjs4iWLl2= i1TNVc4iG6KKq5imnu60P2d6ba1HaWv3dF1WbE5NqimqqbNc1U8VRzHbMR6X4zVFdNymKqZzEs1= UzTOJEq8ypV5m0QkJBABQBJIACFhJRZRRnZom7ciiPv8AsfqUxFNMUx2RHY4cK14O11pj5VTnYq= lyqnMgDLIxnvZMZ7xYAGlAAElUkAAABkAFQAVWMhJIfCSIqSsAIglUsOGVU9qcszLpEIKkwipwc= KSQSACZABUnvRZ70CA4AVEmGTGqeIQYVT2sPOySYYlqEARUAjtngwZZW457XIkRxHBzx3ukRhMk= osoqPoAdXAAGiUWUAACBJV9eiaXm61q+LpWnWpu5WTci3bpj0z559ER2zM+aIZqqimJqntDURMz= iHcOhLYte9N00+M0VRpOFMXMuru6/+jbifTV/VE/U2+tWrdm1TatUxRboiKaaaY4imI7oh1/o72= rh7P2xjaNh/Kmj5d+757tyf2qv+UeiIiHYrlNU0TFM8Tx2TL8NxHWzqr2fiOz9NpNPFi3j5+XgX= wot60xTRsvAuc1VdW9n1R5o76Lf/wDKf93637/wTv3dZ/8Ata5/dWnUel3oks6Lt/Vt3X9w5efm= eEi7cpuWaaYrqrriJ7Yns/adu+Cb+7rP/wBrXP7q09t+bP8ADoi1Off3+rzWuZ1ea/wdl6f/AN0= euf8A0W/72hpy3F6f/wB0muR/8lv+9oadPof6f+xq+rycV+0j6Daj4LMV+TOvr89X+ULvU+zq0f= 8APlq/p+Hl6jm2sLAx7uTk3qurbtW6Zqqqn7Ibo9Fm3Lm1th6Zo1+KPGLVua780zzHhKqpqq7fP= xM8c/Ucfu08mKPnJwqieZNXw+bpr6kdFm4ev3eKTx9vMcf08NN9I/xrh/6+j+1Da34Smq2sDosz= Meqvi7nXbdi3T56vlRXP9FMtUtI/xrh/6+j+1DHA6ZjTVz++zXEpib9MN1OkvW8vbexdT1vAptV= 5OLaiq3F2JmiZmqI7YiY9PpeCYPwhN228u3XmabpF/HiqPCUUW66Kpjz8VdaeJ+viXtHTt+6XX4= //AEKf7dLTXlw4No7OotVTcpz7uuv1Fy1ciKJbx41ek732Xbu1Wqb+nariczRVxPEVR2xPoqpn+= aYeC9COl720ncm6tJ2xe0SL+Feox8urUKbkxV1a7kUzR1Psq7/qeudAGNkYnRHodvJoqorqouXa= aZ/0a7tdVM/fExP3ut9C1dFzpV6SKqOOPHqI++K70T/S8NqqbVF63T7xH+Xprp9dVuqe/wD8eI9= MFjX73SZnY+s04l/V7k2aaqcCmubdUzbp6sUxV288cfe7BonQPvjUcSnIvzpunTV3Wsm9V1+PTM= UU1RH8/L0fRNLx874UOu5d+iK5wMK3dtRPmrm3bpif5pqfJ8InpF3HtjXMLRNAyacPrY0ZF69Fu= mqqrmqqIpjrRMRHyZ83n/n+nTrtRXy9PYxE4h4p01qn1XbucZdSn4PG8PWuh/m3f+mw6GdG3noe= /twaNt6/ok5+Ha8Fk15nhJtVRFcfsdWOe/08PSfg37p17dOjatf13UK825YyKKLc1UU09WJp54+= TEPzeiT9/e/Ptq/vIcLur1E03bV6Yn0x+H5w60WLUTRXbzGXQt3bN3fvbpfztH1HK0W3q9vBoyL= ldqblNiaIiiIiOYmrn5Uebh7zuHbObqPRZc2pZvY9OZVp1vFi5XM+D61NNMTPMRzx2eh4T066/r= G3OmnUM/RM65hZNWHZtTXRETM0zTTMx2x6Yj+Z7VurV9SxOhS5rePmXLeoxpVq9F+IiauvNNMzV= 6O+ZcdVzposTGMe2Pq3Y9EVXInv8tcd49GGubW1nRtLz83Trt7V73gbFVmuuaaautTTzVzTHZzV= Hdy7THweN4T/+LaH+bd/6bote4t57x3BpVq5n5Oo6nZvx4hHVp5ormYnmOIjz0xPb2dj3HE2f02= 12KK8jf+HYuT30RHW6v1c+DfT1Wo1Onppiq5TE/P7w8di1ZuzMxRMw803J0Gb20fTq8614hqdNu= Oa7eJdqm5EeeYiqmOfsjmfqfvfBE/ys1r+Bp/tw9v6PdO3XpmlXsXdusY2rZHhetZvWqJpmKOI+= TV2R5+f53mvQvYtY3TnvqxZoii3TVc4pjujm7y8FXELmo0923cmJx8x9XqjS0WrtFdPtl5v8Jj9= 7Wd/D2P7EPNHpfwmP3s538PY/sQ80foeG/wDi2/o+Vq/tqvqJV5lSrzPc86EhIIAKAJJAAQsJLm= wrPhLvWq/Zp73DxM1RER2y/Ux7cWrUU+fzkzhmqcOSUWUc3IAAYz3smM94sADSgACSqSAAAAyAC= oAKrGSe4knuRWKopCQMap4VjPektQhMAy2ncvIiC8dqSpKiAAAIMZ7xZ70FiQAUcVc81M654jhx= yzKgDOCEk4UGssWVuOO1IjmeHJDVMM1SANJCTCLKA+gB1cQAaJRZQAAIGy/wbtgxo+lRunVLURq= Gbb/7tTVzzasz5+PTV3/Zx6Za36bk04efYy6sazkxarivwN6Jmivjt4q4mJmPveqf9oHedNMU0a= doNMRHZxj3ez/9x8rilrU36OXZj2nu92juWrVXruNit367iba25m61mz/gsW1NXHnrq7qaY+uZ4= j72ts9Pe+pqmYp0uI57I8WmeP8A1PwukDpQ3JvXTLOm6pRg2Ma1d8L1cW3XR16oiYjrc1TzEcy6= O8/D+D00UTOopiZddVxCqur/AGpxDv8Au3pc3ZubQcjRdSjA8VyOr1/B2Jpq7KoqjiefTEPYPgm= /u7z/APatz+6stYHfOjzpS1/ZGi3dK0rD02/Zu5FWRVVkW65q600008fJqiOOKY8ztr+HxVp+Xp= 6Yj3y56XVYveu7Pw251XTsHVcC7gali2srFu8eEtXaYqpq4nmOY+2Idfjo62LHExtTSPvxqXhX/= aF3l6r0L8m7/wBRJ+ELvH1ZoX5N3/qPiUcJ11PtT7fq+lVr9NV3/wCmxmj7f0LR5qnStIwcGqqO= KqrFimiZj0TMQ+nU8/D0zAu5ufk2sbGs09a5cu1RFNMfa1e1Hp731lWposRpWFP+lYxpmr/11VR= /Q6JubdW4ty3Yua5q+Vm9Xtporq4opn6qY4iP5nW3wLUXKs3Zx/dividqmP5Idn6cN/fHbcNNOF= 16dJweaMaKo4m5M/tXJ+3iOI80fXMujaR/jXD/ANfR/ah889yUzNNUTTMxMTzEv01rT02bXKo7P= jV3ZuXPXU3t3TomHuPQMrRc+q5GLlURTcm1VxVxExPZPb6Hn2J0DbEsZNu7XGpZFNE8zbuZPyav= qniIn+lrHGu63651H2mv9Sdd1uY4nWNQ4/ia/wBXw7fBtTaiaaLuIn6vpVcQs1zmqjLb/pF3pom= w9uVVVXLEZFNnweFhUTHWrmI4piI81MdnM+aPuh5f8EnIu5Oqbqyci5VcvXfF67ldU9tVUzdmZn= 75eBXbly7XNy7cruVz31VTzLlw87NwpqnDzMjH6/HW8Fdmjnju547/ADvRRwaKNPVbir+ar5c6t= fM3YrmPaPh7vqu7MXaPwmdTzNQueDwcqzaxr9fHMURVbtzFX3TTHP1TLvnST0caH0kU4eqWtUnH= yLdrqWsnH6t23ctzPMcxz2988TE+fztWtAxLu491abp2XmXfCZ+Vax6r9czXVT1qop57Z7eOe76= nvWJ0A3sSmacTfWfj0z5reP1f6rjx6yxb0tVExc9NcR+Dvp7tV6mqPRmmZd66Jdg29g6fm4lvU6= 9Q8bu03Jqqs+D6vEcccczy6Z0Sfv6359tX95DuWz9DwujXbOdd1jct/Ntzcm9cycuvq9WIp4iim= JmfRPd2zMtUtzbiydR3dq2t6ffycOM7KuXaYouTTV1JqmaYnifRw4aPT16uq7HqzmO/6uuou02I= o9u3w7d8Jqf/ABZzf4ez/Yh77oWPg726GcLTreX1LWbpdvHruW+KptVxTETHHpiqO76mnWVkZGV= em9k37t+5PfXcrmqr+eXLhZ2dhRPieZkY/Pf4K7VTz/NL69/hdVyxboirFVLwWtbFFyqqY9qnte= j7PwuiXpT21k6rrlrLx87w9vw04/gqbNXU6tMz8qrvmqI57OHq/SVtHWt114VzRt45uhU2Kaorp= sRM03eeOJnq1U9scT6e/wA3n09zc7NzerOZmZGTNHPV8Lcmvjn0cy5cfV9Wx7cWrGp5tq3T3U0Z= FVMR90S5XuF3rlVNya/5o/JujW26ImmKfafzbj9Ge1tX2thZljV9z5OvV37kV27l+Kom3ERxxHW= qqdB6If39b8/+qv8AvYa8TruueudR9qr/AFcFnUdQsZFzIs5+VbvXf/MuUXqoqq+2YnmWKODXMV= +quM1R+DVXEKc04p7PQvhMfvazv4ex/Yh5o5MnJyMq9N7Kv3b92Y4mu5XNVU/fLjfa0tmbFmm3M= 5w+deucy5NX4iVeZUq8z0OaEhIIAKAJJADK1RNy5FEechX0YFrmrwtUdkdz7UopimmKYjiIZMTO= XGZzKSiyiIAAMZ72TGe8WABpQABJVJAAAAZABUASVVCQkVioiJCVSxWe1GZagFRFyEKiqEgggvC= SNZABMJPeiygAJVJKsKu2eUZJLm2nCKAgcLTHM/UBTHHayU4dGEAFhJRZQR9ADo5AA0SiygAAQJ= KpJCygCoAEkJPeE94EiKAk9yLPcgAAQJPcqSKytV127lNy3XVRXTMTTVTPExMeeJfb/LOr+tc72= iv9XwwMzRTV3giqY7ObMzMvLmmcrKv3+r3eFuTVx/O+dZRYpiOyzMz3SVjuSVjuaZAEEkJFgkAU= Eq8ypV5gQkJBABQBJIR+hhWupb69UfKq/oh8uJa8Ld7f2Y7ZfpMzLFU/CgMsJKLKAAAMZ72TGe8= WABpQABJVJAAAAZABUEmFFViSSSCMap8ysZ70lYQBGl8yLPciILxKMlViMphEVAAJRU4RYE4UBj= PYwZ1T5mPDMtQgJwirwxXkMCM6Y4hKI5llMLTBKcqxOWmMrKEgpKcKCOYc3imX82ufhk8Uy/m9z= 8Ms9Ra3R5OTc2y4RzeKZXze5+E8Uyvm9z8J1FrdHlrk3NsuGUc84mV82ufhTxPK+bXPwnUWt0eU= 5NzbLhHN4nlfNrn4TxPK+bXPwnUWt0eVizc2y4Ulz+J5Xza5+FJw8v5td/CRqLW6PK8m5tlwDn8= Ty/m1z8MniWX82u/hleotbo8pybm1wDn8Ty/m138MnieX83u/hlOotbo8kWbm2Xzz3jmnCy/m13= 8MnieX82u/hleotbo8nJubZcI5vE8v5td/DJ4nl/Nrv4ZOotbo8nJubXBPcjnnDy/m138MniWX8= 2u/gk6i1ujycm5tlwDn8Syvm138EniWX82u/gk6i1ujyRZubXAkvo8Syvm138EpOFl/Nrv4JOot= bo8rybm1wwOfxLK+bXfwSeJZXza7+CTqLW6PKcm5tl88o+icLL+bXfwSeJZfza7+CTqLW6PK8m5= tfNKx3ObxLL+a3fwSsYWX82u/gleptbo8pybm1wD6PEsv5td/BKeJZfza7+GU6m1ujycm5tl88j= nnCzPm178EniWZ81vfglY1NrdHlZs3NsuAc/iWX82vfhk8Sy/m178Er1FndHlOTc2y4EnzPo8Sy= /m178Ek4OZ82vfgk6izujycm5tl8w+jxHM+bXvwSTg5nza9+CTqLW6PJybm2XzD6PEcz5re/BKe= I5nzW9+CTqLO6PK8m5tl869szxEczL9vTNobq1PG8Z07buqZdjrTT4S1jV1U8x3xzEP0sLo+3rF= c117U1mOO7nDr/RidXYj+uPJybmP+Mvxce1Fq3FPn88uV2H4i70+iuseyV/ovxE3p9FtY9kr/AE= Y6uxvjy5ci7tl10di+Iu9PotrHslf6HxE3p9FtY9kr/ROrsb48nIu7ZdclHY52JvT6Lax7JX+if= ETen0V1j2Sv9Dq7G+PJyLu2XXR2L4ib0+iuseyV/ofETen0V1j2Sv8AQ6uxvjyci5tl11j53Zfi= JvT6K6z7JX+jH4h71+ius+yV/odXY3x5WLFzbLrg7H8RN6/RXWfZK/0PiJvX6K6z7JX+jXV2N8e= V5FzbLrg7H8RN6/RXWfZK/wBD4ib1+ius+yV/onV2N8eTkXNsuuI7J8RN6/RXWfZK/wBE+Ie9fo= rrPslf6L1djfHk5FzbLrg7H8Q96/RXWfY6/wBD4h71+ius+x1/onV2N8eTkXNsuuJy7J8Q96/RX= WfY6/0PiHvX6K6z7HX+h1djfHk5FzbLrg7H8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHlORc2y64= Ox/EPev0V1n2Ov8AQ+Ie9forrPslf6L1djfHk5FzbLrQ7J8Q96/RXWfY6/0Sdh71+ius+yV/onV= 2N8eWuRc2y61PenDsnxD3r9FdY9kr/Q+Ie9forrHslf6HV2N8eTkXNsutTHZ2I7N8Qt6fRXWPZK= /0Sdh71+iuseyV/odVY3x5Xk3Nsut98I7J8Q96/RXWfZK/0T4hb1+ius+yV/odVY3x5OTc2y64y= h2H4hb1+ius+yV/ofEPev0V1j2Sv9DqrG+PJybm2XXkl2P4ib0+iuseyV/oTsTen0V1j2Sv9Dqr= G+PJybm2XWx2P4h70+ius+yV/ofEPekf/lbWPZK/0Oqs748rybm2XXB2L4ib0+i2seyV/ofETen= 0V1j2Sv8AROqs748rFq5tl1ye9JniHZJ2JvT6K6x7JX+jjq2PvLnj4r6v7JX+h1VndHleTc2y66= OwfEfeP0Y1f2Sv9D4j7x+jGr+yV/ox1FrdHleTc2y6+xdi+JG8foxq/slf6J8R94/RjV/ZK/0Oo= tbo8nKubXXk4dh+JG8foxq/slf6M6NibzqjrRtbV5j+Er/Q6i1ujycq5tl1+I4jgl2P4ib0+i2s= eyV/ok7E3p9FtY9kr/RrqbO6PJyrm2XW+xOHZPiJvX6K6x7JX+h8RN6fRXWPZK/0XqbO6PKcm5t= l1yCYdj+Im9PorrHslf6HxE3p9FtY9kr/AEOps7o8nJubZdbHY6tib0+iuseyV/onxF3p9FdY9k= r/AEOps7o8pybm2X6PAD8C/WgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD79v6Vla5rWLp= OHTzfybkUUzPdTHnqn6ojmZ+x8D3n4P20/ENKr3Hm25jJzKerjxPfTa/wBL7ap/oiPSg9G25pGJ= oeiYulYVHVs49EUx6ap89U/XM8z979EiOBAAAAAAAAAAAAAAAAAAAAAAAAAcVc8yzrniOzvcYJw= jIBiLwgJMCgIkxyvADHjhO9mkwDHhGRwDDgZcJPcDivVdSjmO/wAz4/O5r1XXrmfNHZDjmBWExD= GaWcwA4+IThyTDGY4US3RNdcUx53300xTEUxHEQ48S31aetMdsudFYpLLhBEJXhBMJwjJOBUlOI= ZSgNRAGkAAAAAADl+1tbFx9Qp1PT68eLmVcw6rmHVH7VNy3MVzEfbRFcfbw7PG29OqysKIxaJta= Pdm1rU01TPhOra8NVM+jmabtv/dp88g8+OXctH0zS8/B03WrmNTRj4l3I/lK1RMxE00R4W3H1da= J8H/ux5zWNP0rS8bUNWoxaLuPlZdidNtXJnjwVVMXq/t4iaKJ+2QdNHoVe2NPs39QsXMejjVbtV= Gi1TVPyafBeGpmPTz17VH31eh1nc2HaxKMLDx8Oqi9i4VurOucT23bny+30cRVRT9sA/Dct+xXZ= tWrlVdqqLtPWpii7TVMRzMcVRE80z2d08T53bNcr0jQ8qNCo23j5seL26qsu7cuReu1V24q69E0= 1dWKYmeyOrPZHa59O0HTM7L2xau0UWreRpt7JyO2qJvVW670xE9WJntiimPkxzx3RyDo47nuCjb= uVoGVkY06RayseqjwP8m2sziqJniabk3aer3czE8xPZL9CbG36922tq29vYtFrJot0VZc3Lk3qL= ldqKutT8rqxETPdxPPH1oPPHLTYrnFqyYrtdSmuKJpm5TFfMxM9lPPMx2d/HDsmLGnaNtfT9Tu6= NjapkZ927FVWVNfg7NNuYp6sRRVHyp55mZn0cQ4rmLh5e2NSzsbTYxrs6pYt2bfXmubdFVFyepE= z2zHMR39vZCjrZ//ALveh5ek6VXpuqadXjaFZzcDDru8Yd3IuZFuu3x1uvXMTant5iY5757H5mo= XNK0W7i6RG2cbUPCY1m5cyrly5F6/NyiKubU01RTTETV1Y7J/Z7fOg/A1XSbun6jn4dV6xXOFX1= a6puRTNfbx8mmZ5n7I5fnO77ixMa/rO9712x1rmNMVWZrj5VEzfopn7+JmHz6jc0rRqsTSPi1j5= /hcazcuZNdy7F69NyiKubUxPFMRNXEfJnu7QdVosV141zIiq1FFuaYmJuUxVPPPdTM8zHZ2zEdj= G7buWa+pdt126+Inq1RxPExzH88TEu5a1p+nadc3Jes6faqjT9VsUWbV6KpiKObnNE8TzxPViJ7= eezvfRr1yjWt5YuJRomk26LOLZyL1XhLlqmq3GNRXPhKpqniimO7jieI75lR0S1T4S7TbieOtVF= PP2vs3Bptej65naXcu03q8W/VamumniKppnjnh2jcmHpdzRcPVcG3pVF2jUIxq503w8WqomnrcT= 4aP2o476eztfl9I1q7O+NfvRbrm1TqF2ma+rPViZqniOfT2T/Mg66cw7xqEaNo+uWNufFrHz7dU= WabmTcruRfvTcppnrUTTVFMR8rsjie6OUu4Gk7ewtduXtOx9WvYOrxh49V+qqKOrxc5mqKZjn9m= Oznv+xR0gdy1W5pOheJafO3MTUJycW1k3ci7cuxXXN2mKuLXVqiKYp56sTxPbHa/I3zh42n7sz8= PDsVY9i1XEUW6u+mOrE8T9YPxAAAAAAAIiapiKYmap7ojzg7P0Z7Xubq3RZwqomMO1/hcqvjuoi= f2ftqns/p8zaaxat2LVFq1RTRbopimimmOIpiO6Ih1Dom2rG19sW7d+iIz8ri7lT54njso/3Y/p= mXcmQAAAAAAAAAAAAAAAAAAAAAAAAJEq5nsBhM8zyizCAnHApwCBMAJMIyAYizCAgpwCJwoDFxX= 6urTxHfLmmYiOZfLXM1VTIsOLhJhnwgrCYSYZzCcA42Vqjr1xHm86zD6LNHVo+ue2RJZ+bgAQAF= SYRkTAMeEZIIgvCA1CAaAAAAAAH06ZnZemahY1DBvTZybFcV264iJ4n7J7J+9z2Na1Wzb1C3azb= lNOpRxlxxE+Fjnrdv3893pmPPL88B9mJqediadmafj5E28bNiiMi31Ynr9Weae3jmOJ57jN1PPz= cHCwsrIm5j4VNVGPRMRHUiqeZjsjme30vjAfoX9b1a9Vp1VzNuVTptNNOHzEf4KInrRx6e30+iI= 7ohlk65q2RVqU3s2uqNTqivMjiIi7MVdaOeI7OJ9HH8z80B+zjbp3Bj4EYVnUq6bVNE26Jmimbl= umf82muY61Mds9kTD469W1KqcGrxuumrAo6mLVRxTVajrTV2THE99Uzz39r4gH6usbh1nVrMWc7= M69qKuvNFFui3FVX+lVFMR1qvrnmXDTrGpU6zb1inJ4zrc0zRd6lPZNMRTT2ccd0R5nwAP09H1/= V9Js12MHL6lmuetVauW6blHW7ut1a4mIn64jlx5WsanlWsi1k5ly9Tk36ci9NfE1V3KYmIq63fH= EVT2cvgAfuZO7dw5Niuxe1GaqLlubd3i1RE3aZiYnrzFPNc8T31czHmYYO6NfwsGjDxtRqptW4m= LczbpqrtR6KK5iaqP92YfjAPvv6zqd+5n3LuT1q9Q48amaKf8ACcVRVHm7O2Ins4dq0TOro0nEt= 0b6x8TGooiK7d7EqnJx/wDSptVRRVMR38cVU/ZHa6MA/Y1/XcjUNQ1auxVVbxNQy/GJtVUxM9k1= dTme/mIqnuSNya3FWDXTm9W5gUdTHri3RFVNPHV6s1cc1Rx2cVcxx2PyAH6up7h1jUrUWszLiu1= Tcpu026bVFFFFVPPE000xER+1PZHf5+XHn65q2dby7eVmVXKMzJjKv09WmIruxEx1uIjs757uIf= nAP2sPde4cTDpxMfUq6bdFPUt1TbpquW6fRRXMdamPqiYfmxnZcadc0+Lv/drl2m9XRxHbXETET= z391U9j5wHd9v51y3o+Nas73xcKxRH+Es5OJVVex557fAzFFX2xxVT2+h1zdmpWtY3JnalYpuU2= b92arcXP2urxERz9fEdr8sAAAAAAAel9A2051fXp1vMtz4np9UTb5jsuXu+I/wB3v+3h5/o+n5W= rapjabhW5uZGRciiiIj0+efqjvmfREtr9paJjbd0HE0nEj5Fijiqvjia6v86qftlJH60RxACAAA= AAAAAAAAAAAAAAAAAAAAABLGFn0AITCgjCYRmkwKxOFnsQEFJgESYUBOEZJwCJwqVTERMyDhvzP= HVj73C5J5meZ70mIkWGEpMMpiUFY8Jwz4SY8wFmjrV8z3Q+hLdPVpiPP52QyicLMAMRknAIAAnC= gqIyOAa3+TPfHqK5+db948me+PUVz8637zaAXKNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M9= 8eorn51v3jyZ749RXPzrfvNoAyNX/ACZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948= me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637z= aAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav8Akz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8me+P= UVz8637x5M98eorn51v3m0AZGr/kz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8AJnvj1Fc/Ot+8eTP= fHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tA= GRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/wCTPfHqK= 5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me9/U= Vz8637zaAMjyroT2Hl6FdydY1zGiznTzax7c1RVNFP8AnVdnZzPd9kT6XqpxHogQAAAAAAAAAAA= AAAAAAAAAAAAAAAEmFBEADIAGE4SYZAZYIzmEmBWKcMkBBU4AcN6fldWO5yV1cRy4e8GKTDLhBW= KTHLNOAYcSzs08zz6CI5nhzU08RxAJwKCMTheAGIpwDHhJZAMRZhAAAfoAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgpwJ7oEwAAAnDGYZgMEZTDC= 52QK4655q+qGEwzlAYDKYSYBjMehGREczwC2qe3nj7HIccAInDIBiLwnAJwjIBicLwgIKkwCcHC= gPuAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= OAEwkwKSCAgo4qp608s657OHHwJhJSWRwKx4RlwnAMeGVuniOfSRHayAOABBU4AABJhGQDEXhAS= UZJMAnBwqA+0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAABJ445VjX2iYYTzyjJOBWPBwoDEmF4POBTCgCcIyAYi8IAnCgIKnACKAnCMkQQ4Z= U0zVVEQ5vB0ehRmAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAABMseFnvBGMwkwzSYDLBJhnMJwKxWIAE4FAQJAE4UBOEZJwCC8IBwigIkspgo= pmqrjzA5LNPEcz3y5OfqAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAABJVJAAAAEwJMKAxmE4ZpwKwFmAEOABOOBTgEAASYUBiMkmARzW6eI+1= x245q+qHNAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAgnHCn3ggqcCgAAAgnCgMOEZpMCsRZhACYAEFSYABlbjmeQZ0xxCgAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJg4= SVAQAXIAGAATCJMMgMsOEZ8JMCsRZQDjlyUxxHEJRHnZAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACJMCgIHCCqAAAInCcd= rIgFAFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAO04ARBUDIAKR2qQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHHaAmAAUAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAmU5fkbu3Hpe19LjU9YvV2c= TwlNublNE19WZ7uYjt4YbZ3PoW5sa5f0LU7ObTa4i5FHMVUc88cxMRMd09/oa5dfp9WPZiblMVe= nPu/a5OWq1vpe3roOu5+PGfb1DGt5VyKbWXR1uIiueyKo4q7vrbI7M1ivX9radrNePGPVmY9N2b= cVdaKZnzc+d6dVobumiKqu0vNptbb1EzTT3h+z5uSJ5dO6Yd31bI2Hm63Zooryommzi0V/szdqn= iOfTERzPHn4eDbL0bpw6QdMr3HibvvYWLeuTFqq/m3LNN3iZiZoot0zEUxMTHdH1PI9jarkeG5W= D0j7J6MLtOq9IGlYesXdXpqt6hm3671qLE2uPBc3LVUxVNVMzx1fv8z07B3Fp+kbJ0nVNzbg06n= wuHZm7m1XIotZFybcTNVHMRzFU8zEREdnmgHZB1XTekXY+pVZFOBuXAyJxsevJvRRXM9S1RHNVc= 9ndEPmp6VejqqqKY3fpfMzx23Jj/kDuY+LK1fS8XSf5WydRxLWn+Di541Xdpi11Z7qutzxxPMPw= NN6SNi6nqFjTsDc+n5GXfri3atUVzM11T3RHYDtg8p6LN1alas7l1DeG/ND1jBwq7c0V4nERiUz= VXExc4tUds/Jj/O7pdlsdKXR5evUWqN36V1q54jrXurH889kA7iJTVTXTFVMxVTMcxMd0qAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAADy/wCE5+7G5/F2v+bqXwR+7c3/AA3/ALrtvwnP3Y3P4u1/XLqXwRv2dzf8L/7r7Vr7sq+v+= HxLv3jT9Hie5P8AKHUv4u7/AG5be9EP7sdv/wADR/U1C3J/lFqX8Xd/ty296If3Zbf/AIGj+p6u= NfYW/wB/Dz8H+3ufv5dD+GBjX7/Rfi3bVM1UY+qWrl3jzUzbuUxP4qoj73Yvg46jg53RFotvEv2= 67mLbqs37dNUTVbriursqjzc9/wBku5bm0TT9x6Fl6LqtiL2Hl25ouU88THniYnzTE8TE+mHgWb= 8GOvxu7Vp28PB48zzRTew5muI9EzFcRP28R9kPzb9G7V8MCf8Awtxv9q2v7u68d6UMvJzNf2Fpl= /TsnVMTH29p82sC1VVE5M1URNUR1YmeZ4insjn5L1ijoLyqejC9s6rc1mq7c1enUIyZxZ4iItdT= qdXrffzz9z9je3Q1i7k0Lb1q1rN7Tta0TBs4lrOtW+YrptxHHNPWiY7YmYmKuznzivP9sY2NOi7= xrp6KMzaVdvbGfNObeuZExXPUiPB/4SIjmYmZ9PyX42wdibY1b4PmvbozdPmvV8SMmbORF2uJp6= lFM09kTxPb9T1HQeineGLa1bH1jpFzNWxtQ0vJwabN6m5VTRVdo6sXOJrmJ47X6u0+jK/oXRJqu= xatYt37mfF+IyosTTFHhKYj9nrdvHHpEa769m5eR0NbD0i7l3KMK/qGb4Tmrsjq3KIp/m8JXx9r= ZTbnQ/sHRM7C1LT9GqpzMOqm5avVZFyqrrR3VTHW45+516joP0/J6LsTZ+p6rNzKwsi7kY2fZs9= WaJrntiaJmeae7mOY7o7YfPszoh3hoGv6Zm3ekjPzMDCvUVThzF2mi5RT/mcTcmIjj6uAeadE2p= 6JpG0OkrL3Fg1ahp/hseivFprmnw1U3LvVp5ieYjrcdvoj7nXN3VafnbOu52n9EWZodiuKLlrVq= b+RctUUzVEd9VPVmKu7v75h7hoHQZbxNu7o0XUtc8Yt65ctXbdyzj9SrHrt1VVUzxNU9btqj0d0= +l+Fe6BN23dH/kW50l5NemRTFEYlVi5NrqxMTEdXwnHETEcfYD0noAy8jN6H9u5GVdqu3IxqrfW= q7+rRcqopj7qaYj7ne3XOjPbde0Nkadty5l05dWFTXTN6mjqRX1q6qu7meP2uHYwAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAeX= /Cc/djc/i7X9cupfBH/AGdzf8L/AO67b8Jz92Nz+Ltf1y6l8Ef9nc3/AA3/ALr7Vr7sq+v+HxL3= 3lT9Hie5P8otS/i7v9uW3vRD+7Hb/wDA0f1NQtyf5Q6l/F3f7ctvOiGf/DHb38DR/U9XGvsLf7+= Hn4P9vc/fy7NnV1W8DIuUTxVTaqmJ9ExDVLYm6OnPe3js7d12rIjCqoi914x7fV6/W6v7VMc/sy= 2r1P8AxZlf6mv+zLX34Fn/AJW7P9Zi/wBV5+bfo4fNsTpR37t3pKs7Q6RqvC05N2ixVNy3RFdmq= v8AYrpqojiqiZmOe/7uJeoba1nduT0raxpeoZej16FZornFtWL9qrJpmJp469EVdaI7Z74jzPFf= hN128zp10jGwZivJoxsWzXFM9sXJvVzEfbxVT/PD7sXUcnSOnLpL1PDq6uTi6TmXbVXHPFcRb4n= j6pBsVnbk2/p+TVjZ+u6Xi3qe+3ey6KKo+2Jnl1rpG3RmfE69n7G1nQr+ZayLdFV29mWvA0xPPM= TVNUUxPojl4r0KdFW3977JzN0biy9QyM25lXojwd+Kf2YieapmJmapmZnnn0OmaHER8H/c9Md0a= 3iR/wCmoHs/TdvzXdv9F+3snA17Dxdx5FePVmU4tdq51qarNc11Ux2xNE1xHFUdnd2vS9qbq0jM= 2liajka7p1ybWJYqzbvjNHFquumP25ieKZmrmO3jta9dN+29Lt9C+yN1027n8qXMPAwaq+vPV8F= 4tXXx1e7nmO93bL2z0d7G6FcnM1TEzq8PW8bCqy7Nq/M3L92ni5RTRM9lPbNUz9UT9gPXMfde2M= m/RYxtxaReu1zxTRRmW6qqp9ERE9rzLpX3duLSOmnZ+habqdzH03Pmz4zYiimYuda9NM8zMcx2d= nZLwLeU7Mu7fjJ27s3cek3+vTVby8nIm5Zqp9Hd5+Y4mJ9DvWtZuVqO/uh/Nzb1V/Iu4GFNy5VP= NVc+GmOZnzzPpBtTAQAAAAAAAD8PfG4MbbW28rVL/wAqqinq2aP9O5P7Mf8AOfqiXgHlU33zP/x= qI+rxWz7gNmxrJ5VN9+u49ks+4eVTffruPZLPuLgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsay= eVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHl= U3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbN= jWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9= w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcM= DZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZ= LPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz= 7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79d= x7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/Xce= yWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTf= fruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU336= 7j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTy= qb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm= +/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsa= yeVTffruPZLPuHlU3367j2Sz7hgbNgIAAAAPL/hOfuxufxdr+uXSfgp52FiVbioyszHsVXZxvBx= duxTNXHheeOe/vh7zq+mafq2L4pqeFj5mP1oqm3eoiqnmO6eJfkVbE2ZMdu19In/AISj9Hvt6ym= nTTYmO85y+dd0lVWpi9E9vhrruLok31d1LNzsTSrWXYu37lymbWVb5mmapmOyZh6F0e9It3auiY= W3t57c1TR7WHbps282rHrm3VEeers7Pu5ek2NlbYxuZw9IsYcz3zi1VWZ/nomJc8bdtW4mnG1LU= 7duqOKrdzInIoqj0cXet2fZw6XuIc+iKLsZiP0Ys6CbNc125xMvtsZeJrGj13tOy7GTZv2qot3b= dcVUzzHHfDWvTPg/9JGmzd/k3dmmYXhJia/F8zIt9bjnjnq0RzxzP873jE2dj6ZkXM3Rb9Om5NU= zM02LfVsXezs8Ja56sz/81PVn63Z8abk2om7TTTc4+VFM8xz9T51WM+z6VE1Y93h3RZ0E39A3RZ= 3LurWLWpZuPc8LZs2Yqqo8J5q6q6+2qY74jiO2Inme5+3onRdnWeljc259Uv4ORpGtY17H8Woqr= 8L1bnU5ir5MRHZTPdPnetJMcstNVq9nZ+1bmda2X0y6BjaZc5uV2bupRbrniJ7Jpp60TPHZzHHP= ofN0PbM1Pe/Q9uLR9Ov41i7d1excpu5E1RRPUo5qj5MTPPyo8z2SvoG6Na7lVyrRsiaqp5n/AL7= e7/xO97b0DSNt6Ta0nRMG1hYdrnq26OZ5nzzMz2zP1zMyK6HvXozydzdD2jbNuZ9jH1DS7ONNF6= Imq1VdtWptzE9kT1Ziqrt457ux1ux0R7y1Xo+z9r7t3VjZUW6sevSK7XWuU4824rpmmrmmmZiYq= pjvmY4+rt7rujU83P3nZ0rCuX7GNptrwmfNNVdEVTdpmLcxNMTz1erNXFUxEzMejs65rd/eutZ1= i9GHrODHgZt0049FVvwXhOrz1p5+XVT16O2eI5t3PNPLtRYmr5eeq/jtDquq9EfTBqm3adu5+9t= IyNLt00UU49ddziIo46kcxa57OI879+50Sa/Xruws/wAf0zwe3MbHs5Udevm5Nu5NUzR8ntjifP= w7Bcyt5YOhYFjBwL1zxm1NNyK4u1XLHWimmOZqmaoqpmvv7qot1TERzD6NG1HdOu61gWNS0vK0/= CouU5VdUW6rfbFuKvBVVTPyoiq5THPEczbq7OJ7HJnGcrzo7YeiUqlKuLsAAAAJVPCuidM27I25= tmbGLd6uo5vNux1Z4qt0/wCdX90dkfXMegHlXTduyNwbknT8S51sDT5mimY7q7ndVV/RxH2c+d5= +faKACgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD= dABkAAAADgAODgAOCIiO4AAAAAfLXp2Bczac65hY9WVTTFNN6bUTXERPPEVd/D6erT6FBMJ1Y9B= FMQoKAAAAATPAOLMyLGLi3cnIuU27Vqia66qp7KaYjmZaqdIG5L26dzZGp1zVFjnqY1uf8AMtx3= R9s98/XL0/4Qe6/A41G18K5/hL0RczJj/No76aPv75+qI9LxBYABQAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABugAyAAAAAAAAAAAAAAAAAAAAAAD= G5+yANXemD94+sf62n+xS6mCgAoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAA//9k=3D" width=3D"793" height=3D"1121" alt=3D"" style= =3D"margin-left:-1pt; position:absolute" /><img src=3D"data:image/jpeg= ;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARC= AAbAE0DASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAABwUGCAkKAgT/xAApEAABBAMAAQQC= AgIDAAAAAAAFAwQGBwECCAkREhMUABUKFiEiGCUy/8QAFwEAAwEAAAAAAAAAAAAAAAAAAAECA//= EACkRAQACAAYBAwMFAQAAAAAAAAECEQASITFBUQNxkfATImEygaHB8dH/2gAMAwEAAhEDEQA/AL= Abx6gFUHCruua3rKsFMMDvK/BjZu2mcwdmDZDW+LBBRGGRYS3M6bOyDrRuPBR8MxTTQatUEUk9G= o5nvujzW3N/m+6DizK0o6FqbmeLnGqRiK1tedm26ftJ0HdJ4cMNZg3jZduPhxR033S3cDFMvXg7= ffZF4gi4TUQ1DjUFHp95X/HtX1jtGj+vMdg+QCyRAYpjTcPIbgrE/dUprRB6grn4FnkcMMk5QE1= 3122/asENE9d9lM6ZcD3yLdzI0R2hNAl83CT7Urt/ZDeV8go8yOCkS5trYN0fXsL2s8JJW8FS+6= +iVIF5XN443LyCQNp+mOeGmjF21EKI75QhG5S1Va1V6/c29TGEPGOaaqynLmVVZ0n5DeivTHcTv= /oqsb6R5H7biswo6/zAR/JqzMArSmcgqO9I6I2/7l9WUpWKtt1ioVPbRcvGSCSRhmh7190fj11y= oSWJnproe4bApHmWTvI8ypSLBZX0HfVjy+ekINWmZQyfFYrBQQNjJWDmY2KcCMFpAuLw/Yj4+Ec= i3pV3osWHN1mF5GZrA7Y8aNMXvGulpv1VN6i8idFo863tPapzVUrLE5OeZx2YQmOqpxeHpS6OrR= AhJ3hMoNE5HkHUc0YPfsPY5ndB78/T6q4QO8jXAnQBpKuMd1OJVcHPFklXbIKIs0zJaNhVYyylx= UkKbIimtiRArWwwuCjT9ym5PBZfs5EJqrNXSP4EIxnu/cLlWyzLw+51V+k/SieWm0lBlWaVWINF= rrduv8XgftJJ1jV1HVv1jM7KK3NyzOZElFJjJGidg1PbVEE3koViI0xY0FdziRMlYo8K/RWXfJP= 2bwWFLhzLhtuye/Lp4Zl0nI5b0Xjk+sOi67qGaBq2dW9Zln37c8hDRWBwJogs9xkPH1pgJfTGSK= jGrs45HNXrVsGjzfcyTX0bKoZ3APKsIiPEfgmeePSS5Jp9w972bcZUnz2SeiSk4rlmYsJhVyNly= EKIcO14pXounKlhk+SOG9m6T82a2RGLrOHCLNKQEAhXKzqy+v8AmbsOrqIlqnW4qt57yjL+icaA= a4K27X1QDKoJVgpZSOiJuEyfdyAFycQmDKMCxYWXL6CcPXbdZv8AhljnC6qN5RDkD8/7d4bCB5I= RuhtY5mmq4sdSzfbCGPuO44dSy/W4XqSOdh8fxmfK17c9h1i9sWBz2jHO0n/q7SdyOJuZiabG63= cOXIo8qTaKtSDWEGB0ty2WH7OstyXOLWuKVTKa11T1hsYKIp6t07h6S6LuGxZ3pU9BVw51eKBnB= FgOkCL+Uy6TpCyboJH2jlsjoOYOHzt1jZRk2dxFuvPcPOXJ9wcqZ6Fqo4968aTzmioPHdI5Nv0T= YcBqGVR4hUhu3x12JZZy6PxCFi/t2XGSVgJEhI6JtI4D2cInd8M2xUBs4PXAHsnjW3Fa70U7RgN= GlucZbeshMwqoLJtujGIRq7o2cT8SQFbxM0fzFhRuItXxRFscWIk09ESe7RYU/piZxXcdO6y+9b= /5gfH4zyRjdXGX25nVMtCK8Mni67MeOM9GWI3gkxvSuevYx2vR1Rrx9XohjBGVzUzdlHxOULKIj= LWVgM2O4cS2tNMprOnZVog2zqIbuSLN07+i7R10HeLWVGpMn0u1eSo/IwY6wK9fRz9wfJyBJk2P= VXHXbvIpwYdPlWrIhugi+2bNlE2m7lRd5hHDh04VVoL6GmthjrX6E6Cv2CVXTF59F8AN/HFzHxT= VNsxa47Cswkdlw6SnbqmOYcq5YgK6r9qL1RZHjCnwiophdu9eNyWGg97dz4co+tE490FFnK/2nE= bNUkBXc+u2cOFxFKxwestrnbGNs6qqN9t9c5xjOdc49cev4yo+SKB+mWxVbb12aGnBi4wgebxxr= RjNYqpplRpdxd8YfLn8j7Cddx9D8v29KRnOz6hO4b8kfLPUcc0dfs6pt6HdDT4jGy01TWV2bLRQ= 5ursHkGc4SHJs1vcV1wOwuu31HVX51OrYRChQK+vHVP7qm2g9m3Y2/ypOIJKams7OqOmjWTN9Cb= 5uTiTQtrjV2okRw4bMsLb6Jb7I667Zx8d28w0aZ7f7IMEoP8AYIleqehCRBxiSy9D7D19bcudOl= /hbn0kEsquFVFPjRSTS093tT000xrrgZxSFMYAJ3AweR2dEAm+m+mREbuO2gw3Gu+ce/2MR81Qb= J529c+uyaeu2fXP+fxhW2h13t3eKp3jVNNN6e3Zv+e8XG+VDyg2VLJXAL769GQytlqaIPpVyF4+= 4zLh01Oa2a7HOBjG8egzwPfA9vvFxzp6lHGDVPVBsu9dNhqi7h0R11hBzj5KeufJO9sWn1Kh5OK= B4dCmE7NCrXjsvPAiiT2ewyuhDFiPFi5KvkqtI5yFxo6UZoIMmmrt2q8SwjjXeAZfmelz5B0XOx= UiaKvVdlnhMtN58RIO1tv/AEq5ePJQs4XU29Meu6qm22fT/Ofwl0/AYzRBY6cqJEvBS0kCpRw29= ESmU7KkAyRoVI27RXD0y7T02ZyAAENMXSOiTxgUFMXzNwg5bpqajEUUFNn5898GSK5pBKXb1pxt= xg82F3r0B4843AZZG6E4fizS/GDyRQzepB7/AAamMIDNxjF9MCmG6LMkOBDZ3tKaq3YSDdkUTsO= s7FD6CsJRvd85enP3ks7b8kGLCqePUFyzPUYtHBUmMwuxGBR63PjnskGR5XUGLeakUipQQkRWPO= WaOmj79KLKOGOrhyho2VhXMaSrifN4k0mYkxJW8Fj5CLRBMtNJu6wAjxWay6xiQphtvI/fo1fTm= eTGUOdd9t91S8iJudt85X9NV2rawiNMF8yKqdJJADuXgF/+3jE6nQx/h5GTjORgXGrlCSYV1UFn= B7Mk1zrtj2uW+mdsba+7XM5IXeUvv56YX0vHd5I2c1rx/wAMSGsLvK7PHu2RUjlJ8PRGeHcif7f= C6wikxHTAGIkYnSSwwgfOLR8WDKDpJHV2RtmzDyQquLSetUCrNg9wogi4OffK71p5AJHKqKWqrl= R8xRhD+Yv4/ZwaSn2EqQHHY6CRj0aiTBnITEvlaz6SsyDYIEDviqQQaeON0FEwy+uY6WHG2VsRY= DCbHISqYxWNkHhIMGNTeZuG7R883Wyo4331P6OHe6WrhdFlh6s51GtllGo/Vq23yllCqisIZSZ9= 7J6sYk4abJiVQBJ4NlEqW1IB1iA0v9B60fmnjJ0igYDhzLLK7ZTdgZECy7HduRHM3KLyR00NNTD= fHBczEs0Hn5pg6T7ubp3x5x+qLAZ8gcm1mn0FGjhYUQhMLNBjaGI0WQYkYrJ13TMWSYlUGD2OSN= QFsptq2ESEGq8SbPt1WrfXr/Fu67nvbvPHWd12GHj8dkX/ACIARHZhGk3Wo3LIDUkNWar41drKr= YXUySVwr/v7c4109uMemfXFvacXZ3SNbjLaMTexB7A44kg9nLbGsA0gNNvhYwG+IDU3kmUwOVfC= w4tq+0ZfAi8+g2WcpKuEtVfzZ5/FUraF1lyF0YLhAbIRiR6Ry/eIYJFiXzO8VjBm+FflLP36yfo= iknp8aSmiX+vu9nvzttkyR3ovDIRi5gpqr5r+sf/Z" width=3D"77" height=3D"27" alt= =3D"" style=3D"margin-left:441.05pt; position:absolute" /><svg= font-family=3D"Times New Roman" font-size=3D"16" height=3D"41.33" version= =3D"1.1" width=3D"209.31" xmlns=3D"http://www.w3.org/2000/svg" style=3D"wid= th:209.31px; height:41.33px; font-family:'Times New Roman'; font-size:16px"= xmlns:xlink=3D"http://www.w3.org/1999/xlink"><defs /><g><g><path d=3D"M0,0= L209,0 L209,0 L209,41 L209,41 L0,41 Z" fill=3D"#7c7c7c" fill-rule=3D"eveno= dd" /></g></g></svg><a href=3D"http://www.ana= tomiadigital.org/" style=3D"text-decoration:none">www.anatomiadigital.org</a>ISSN:<= span class=3D"awspan" style=3D"letter-spacing:-0.15pt; color:#ffffff"> </sp= an>2697-</= span>3391Vol. 8 No.</sp= an> <= /span>2.1, pp. 19 =E2=80=93 3= 3, abril<spa= n class=3D"awspan" style=3D"letter-spacing:-0.2pt; color:#ffffff"> <= span class=3D"awspan" style=3D"color:#ffffff">- mayo 2025 Revista en ciencias m=C3=A9dicas, salud p=C3=BAblica Ar= t=C3=ADculo de revisi=C3=B3n bibliogr=C3=A1fica.como plenitud = =C3=B3tica, </= span>ac=C3=BAfenos o v=C3=A9rtigo.= En la explor= aci=C3=B3n </s= pan>f=C3=ADsica, es fundamental <= /span>incluir una otoscopia,= pruebas con diapasones= y= una exploraci=C3=B3n= vestibular completa, as=C3=AD= <span= class=3D"awspan">como pruebas cerebelosas. (12).Aunque el diagn= =C3=B3stico </= span>inicial suele e= stablecerse </= span>mediante una a= udiometr=C3=ADa, es indispensable realizar<= /span> un protocolo de<span= class=3D"awspan" style=3D"letter-spacing:2.4pt"> estudios = adicionales para descartar = patolog=C3=ADas asociadas q= ue <spa= n class=3D"awspan">podr=C3=ADan influir e= n <span= class=3D"awspan">el tratamiento y<s= pan class=3D"awspan" style=3D"letter-spacing:0.7pt"> seguimiento. El diagn=C3=B3stico</= span> definitivo se establece desp= u=C3=A9s </spa= n>de los primeros</s= pan> 30 d=C3=ADas desde<spa= n class=3D"awspan" style=3D"letter-spacing:2.3pt"> el </spa= n>inicio del cuadro,= mediate la evaluaci=C3=B3n de <sp= an class=3D"awspan">estudios como: pruebas<= /span> vestibulares t=C3=A9rmicas, electronistagmograf=C3=ADa, potenciales provocados= auditivos de tallo<spa= n class=3D"awspan" style=3D"letter-spacing:2.55pt"> cerebral, tomograf=C3=ADa computad= a <spa= n class=3D"awspan">del hueso temporal con= <span= class=3D"awspan">y sin contraste,= resonancia magn=C3=A9tica de<= /span> cr=C3=A1neo en la= fosa posterior con<spa= n class=3D"awspan" style=3D"letter-spacing:0.55pt"> y sin <= /span>contraste, y = biometr=C3=ADa= hem=C3=A1tica. Se<spa= n class=3D"awspan" style=3D"letter-spacing:0.7pt"> recomienda complementar esta<s= pan class=3D"awspan" style=3D"letter-spacing:0.7pt"> serie = de pruebas con serolog=C3=ADas virales, perfil= tiroideo e inmunol=C3=B3gico= . <spa= n class=3D"awspan">Se debe tomar<s= pan class=3D"awspan" style=3D"letter-spacing:0.05pt"> en <= /span>cuenta que = estos estudios no son = prioritarios = para el manejo </spa= n>urgente y pueden= <spa= n class=3D"awspan">realizarse despu=C3=A9s de <= span class=3D"awspan">un mes de la instauraci=C3=B3n del = cuadro. <= span class=3D"awspan">(12,13).El </s= pan>tratamiento se compone </spa= n>de medidas farmaco= l=C3=B3gicas <= /span>como la admini= straci=C3=B3n = de esteroides, adem=C3=A1s,<= /span> se suele utilizar= Cinarizina y Pentoxifilina</s= pan> si el cuadro se </span= >acompa=C3=B1a de disfunci=C3=B3n</= span> vestibular, v=C3=A9rtigo = o <spa= n class=3D"awspan">tinnitus. Por otro</sp= an> lado, el tratamiento</span= > no farmacol=C3=B3gico incluye el <s= pan class=3D"awspan">reposo relativo, en<= /span> posici=C3=B3n inclinaci=C3=B3n<spa= n class=3D"awspan" style=3D"letter-spacing:-0.2pt"> de </s= pan>35=C2=B0 a 45= =C2=B0, </spa= n>para evitar el</= span> aumento de la presi=C3=B3= n <sp= an class=3D"awspan">en el o=C3=ADdo</spa= n> interno, adem=C3=A1s, es</s= pan> importante reducir los</s= pan> episodios de estr=C3=A9= s <spa= n class=3D"awspan">y evitar el consumo</= span> de sustancias t=C3=B3xica= s, <sp= an class=3D"awspan">como alcohol y= tabaco, se sugiere<sp= an class=3D"awspan" style=3D"letter-spacing:1.65pt"> la </= span>aplicaci=C3=B3n de ejercicios<= /span> de rehabilitaci=C3=B3n = vestibular, <= /span>que contribuyan a = mejorar el equilib= rio <s= pan class=3D"awspan">y disminuir los s=C3=ADntomas de form= a efectiva. (6,12,14).<a id=3D"Objetivo_Gener= al"></a>Objetivo<s= pan class=3D"awspan" style=3D"font-weight:bold; letter-spacing:-0.15pt"> </= span>GeneralAnalizar</sp= an> el impacto del trauma <= /span>craneoencef=C3=A1lico en</span= > el sistema auditivo,<= span class=3D"awspan" style=3D"letter-spacing:0.25pt"> identificando su influencia = en <sp= an class=3D"awspan">la hipoacusia, evalua= ndo <s= pan class=3D"awspan">m=C3=A9todos diagn=C3=B3sticos= y= opciones de tratamiento adecuadas seg=C3=BAn la<= /span> <span= class=3D"awspan">severidad de la</span= > p=C3=A9rdida auditiva, pro= poniendo </s= pan>estrategias preventivas y de= intervenci=C3=B3n temprana para mejorar la calidad de vida de los paciente= s.<a id=3D"Objetivos_Espec=C3=ADficos"></a><s= pan class=3D"awspan" style=3D"font-weight:bold">Objetivos <spa= n class=3D"awspan" style=3D"font-weight:bold; letter-spacing:-0.1pt">Espec= =C3=ADficos=EF=82=B7Describir</= span> c=C3=B3mo el trauma afecta <= span class=3D"awspan">el o=C3=ADdo interno,</sp= an> nervios auditivos o = =C3=A1reas </spa= n>cerebrales, causando distintos grados de hipoacusi= a.=EF=82=B7Se=C3=B1alar<= span class=3D"awspan" style=3D"letter-spacing:2pt"> los </spa= n>m=C3=A9todos diagn=C3=B3sticos</span= > m=C3=A1s eficaces y las= opciones de tratamiento seg=C3= =BAn la severidad de la p=C3=A9rdida auditiva.=EF=82=B7</span= >Proponer medidas para </span= >prevenir el det= erioro </span= >auditivo, mejorar la <= span class=3D"awspan">comunicaci=C3=B3n y brindar apoyo = mediante intervenci=C3=B3n temprana y el uso de tecnolog=C3=ADa auditiva.</= span>Esta </span= >revista<= /span> est=C3=A1 protegida bajo una licencia Creative Commons en la 4.0 International. Copia de la l= icencia: <a href=3D"http://creativecommons.org/lic= enses/by-nc-sa/4.0/" style=3D"text-decoration:none"></a><a href=3D"http://creativecommons.org/licenses/= by-nc-sa/4.0/" style=3D"text-decoration:none">http://creativecommons.org/licenses/by-nc-sa/4.0/</a><p= class=3D"awdiv" style=3D"font-size:11pt">D i <= /span>a g<= /span> n =C3=B3<= span class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-= spacing:0.45pt; color:#ffffff"> s t </spa= n>i c</span= > o M =C3=A9 <= span class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-= spacing:0.5pt; color:#ffffff">d i c </spa= n>oP =C3=A1 g i n a<sp= an class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-sp= acing:2.85pt; color:#ffffff"> 24 | 33<img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2w= BDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFhwXExQaFRERGCEYGh0dHx8fE= xciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4e= Hh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCARhAxkDASIAAhEBAxEB/8QAHAABAQACAwEBAAA= AAAAAAAAAAAECCAMGBwQF/8QAWBABAAEDAwAECAsDBgsGAwkAAAECAwQFBhEHEiExExQXQVFVlN= IIFiJUVmFxgZKT0TI3dBWRobGysyM1NkJSc3WChMHTGCQnM6LDJWJyJkNFRmOjwuHw/8QAGwEBA= QEBAQEBAQAAAAAAAAAAAAECAwQFBgf/xAA1EQEAAQMCBQMBBgUEAwAAAAAAAQIDEQRSBRMUMZES= IUFxMzVRYYHwFSJCodEGIzKxNMHh/9oADAMBAAIRAxEAPwDpoD+lPxQANEosoAAECSqSLKAKgAk= kJPeE94pIACT3Is9yAABAkqkiysBAIkosoKkrHckrHcqACCSEiwACglXmVKvMCEhIIAKAJJAAQs= JKLKKSACD9HDteCt8z+1V2y+XCtde51qo+TT/W/RYmWK5+BjPeyYz3sswANKAAJKpIAAADIAKgA= qsZCQPgAlCEqnsYkiNQkosoKMZ7e1ap8zGGKpy1TAksuWNTDeQFpjsIgmQWYRqUhJ7wnvAAASUV= BRJUnu5QYVT5mE9yzPM8pPc5z7ukIkwqpgliLKfZ2osLTT1qo9Dk+5KY6sfWy5daacQ5VVe76AH= ocAAaJRZQAAIElUkhZQBUB9uBpebm4OdnY9masbAt03Mi5PZFMVVRTTH2zM931T6Hb+jros17fG= i3tV0vO02xZs5E4805FdcVTVFNNUzHVpmOPlR/S897VWrNM1VziOzrbs13JxTDoU96PY5+DxvD1= tof5t3/AKZ/2eN3+ttD/Nu/9N5f4tpN7t0N/a8cOXreV8H/AHxZpmbWTo2R6KaMiuJn8VEQ6Juz= Ze59rXONc0jIxrfPEXojr2pnzcV08xz9XPLva12nvTiiuJlzr0123GaqXX57kWe5HrcAAIElUkV= YAESUWU5gWElY7klY7lQAQSQkWAAUEq8ypV5gQkJBABQBJIACFhJRZRSRaYmqqKYjmZ7kfZgWv/= vao+qlJnDMziH02aIt24pjzd7MHNyGM97JjPeLAA0oAAkqkgAAAMgAqACqxkJA+BJWUSSElJhki= NMZRlLCe/hJnCwkx28oyYzDm3EiSqSKR3s0pjiFVBOFFGEwMp704BAQCUVEX4GFc89jKZ4hxpVK= whCjnhtAEBaKeZ59COWmOIappzOSZSUZVMeJdXPD6QHVxABolFlAAAgSVSSFlHPp2HlajqGPgYV= mq/k5FyLdq3T31VTPEQ4GxXwZ9gzh4kby1SzHh8imY0+irvotz2Tc+qau6Pq+15Nfq6dLamue/w= AO+msTfuRTD6N57OxdlfB71LTbc03MqvwNzLvRH/mXJuUc9v8Aox3R/wD3L7fgm/u6zv8Aa1z+6= tP3/hDTHkk1iP8AVf3tL8D4Jv7us7/a1z+6tPy1Vyq5oaqqu81f+n26aIo1VNMfg9T1vVcDRdMv= anqeTTjYlmIm5dqiZinmYiO765h1WOljo9nj/wC02L+Cv3XF0/8A7pNc/wBXb/vaGnTpwzhlGst= zVVMxiWdbra7FcU0w3m0Ddm29fqmjR9bwc2umOardq9E1xHpmnv4+5+nnYuNnYl3GzLFvIx7tM0= 3LdymKqao9ExPe0MxMnIw8q3lYl65Yv2qoqt3LdXVqpmO6Yluf0S7hvbo6P9L1fJqpqyq7c28iY= jjm5RVNMzx5ueOfvcuI8MnR4rpnMNaTWRqM01R7tcOnfYNGy9ft39Opq/kjP5qsRM8zarj9qiZ9= HbEx9U/VMvN23PwktMtZ/RVnXqrcVXMK7ayLc+emetFM/wDpqlqfpUzTqeLNNm1fmL1HFu9zNFf= yo7KuO3ifPw/QcJ1VV/TZq7x7Pl66zFu9iO0vedP6O8Kvoyo29XoVVWu5GlVanGp+Kz1aLvXiqj= H8Jx2VdXsmOfNM+d0jb3Rxo2dtjb+rapum9p97XMivGxrNOnzdiLkXJoiJqiuO/iPNHe9Kubc6b= 691U6/Tq2k0RExP8n05t6MTiKerx4P0T39/f2vl1HY3ShmWtIteKbUsW9J1CvPxrdm7dinwlVyb= k0zz/m8zMREcdnnfJt6qujMc2Pec9/r7f9PbVYpn+ifb2dH0Dojrz8/VsHLz9Qt3NPz6sTwuPp/= hbVcRETFXWmunie3mae3jsfp6T0c7Z0zTd9YW48+u5l6NNiLeXasVT4CiunrU3IoiviqaueJpnu= 6vf2ubeWsdJG0IzLm5Ns6Jm6fnZ3jkVXLNV6xavcRT8maa4mn7Kvr4878nae6N+7n3BuTU9I21p= esRqduxTqWHctc2OKKerbmIqrie6mrzz5/q49M16u7RNfrj0+3aY/JyxZomKfT7vjwejrQ6NO0S= /rW6b2De1+5VTptu3gzcjq9aIoruT1o463NPZ5ut9U8fTp3RRh0xkU63uSvBu29bjR7UWcKbsXb= lUUzRVz1o4iet9z5r2+Nz7UvWdC1vbeiXcrSrs3cOnMx+vXhTX8uIommrjiOYmO/js9Ecfi0dIm= 4PFqbV+nEya41mjWartyietXfpiOIniYjqdndERPomHoijX1xmmr2+sf2/RxmrTU94di3H0V4Gn= 2cy5p25pz69O1CxhZ1m5gzamibtVMRMT1pir9qP1fqal0c0a/u/WsOa68K1pVy3i0fyZpEeBqia= Iq5nm5z1uZ7eZqn6+50zL6SNcyKtXm5i6fH8rZtnMv8AFuv5NdqYmmKfldkT1Y555+52La28d87= o1DW7OnbY0fXIzr1Gbk4l6zM27VcUxRFVPNcT3RHfM/c5XLeuop9VVXb5zHzhuivTVTiI7uldI2= 1ruzt15GhXcujL8FTRXRepo6nWpqjmPk8zxP3y69Hc7V0sZu4s/eV+/ujTLGnal4K3TVYsxxTTT= FPyZ/aq831v1dS6JN1afs+rdF+5p04NONTkzFN6qa+pVETHZ1e/tjzvqWtTTRao51UZn+7x12Zq= rq9Ee0OgAPY86SEuy9H+ydY3vn5OFo1eLTdx7UXa/D3Jpjjnjs4iWLl2i1TNVc4iG6KKq5imnu6= 0P2d6ba1HaWv3dF1WbE5NqimqqbNc1U8VRzHbMR6X4zVFdNymKqZzEs1UzTOJEq8ypV5m0QkJBA= BQBJIACFhJRZRRnZom7ciiPv8AsfqUxFNMUx2RHY4cK14O11pj5VTnYqlyqnMgDLIxnvZMZ7xYA= GlAAElUkAAABkAFQAVWMhJIfCSIqSsAIglUsOGVU9qcszLpEIKkwipwcKSQSACZABUnvRZ70CA4= AVEmGTGqeIQYVT2sPOySYYlqEARUAjtngwZZW457XIkRxHBzx3ukRhMkosoqPoAdXAAGiUWUAAC= BJV9eiaXm61q+LpWnWpu5WTci3bpj0z559ER2zM+aIZqqimJqntDURMziHcOhLYte9N00+M0VRp= OFMXMuru6/+jbifTV/VE/U2+tWrdm1TatUxRboiKaaaY4imI7oh1/o72rh7P2xjaNh/Kmj5d+75= 7tyf2qv+UeiIiHYrlNU0TFM8Tx2TL8NxHWzqr2fiOz9NpNPFi3j5+XgXwot60xTRsvAuc1VdW9n= 1R5o76Lf/wDKf93637/wTv3dZ/8Ata5/dWnUel3oks6Lt/Vt3X9w5efmeEi7cpuWaaYrqrriJ7Y= ns/adu+Cb+7rP/wBrXP7q09t+bP8ADoi1Off3+rzWuZ1ea/wdl6f/AN0euf8A0W/72hpy3F6f/w= B0muR/8lv+9oadPof6f+xq+rycV+0j6Daj4LMV+TOvr89X+ULvU+zq0f8APlq/p+Hl6jm2sLAx7= uTk3qurbtW6Zqqqn7Ibo9Fm3Lm1th6Zo1+KPGLVua780zzHhKqpqq7fPxM8c/Ucfu08mKPnJwqi= eZNXw+bpr6kdFm4ev3eKTx9vMcf08NN9I/xrh/6+j+1Da34Smq2sDoszMeqvi7nXbdi3T56vlRX= P9FMtUtI/xrh/6+j+1DHA6ZjTVz++zXEpib9MN1OkvW8vbexdT1vAptV5OLaiq3F2JmiZmqI7Yi= Y9PpeCYPwhN228u3XmabpF/HiqPCUUW66Kpjz8VdaeJ+viXtHTt+6XX4//AEKf7dLTXlw4No7Oo= tVTcpz7uuv1Fy1ciKJbx41ek732Xbu1Wqb+nariczRVxPEVR2xPoqpn+aYeC9COl720ncm6tJ2x= e0SL+Feox8urUKbkxV1a7kUzR1Psq7/qeudAGNkYnRHodvJoqorqouXaaZ/0a7tdVM/fExP3ut9= C1dFzpV6SKqOOPHqI++K70T/S8NqqbVF63T7xH+Xprp9dVuqe/wD8eI9MFjX73SZnY+s04l/V7k= 2aaqcCmubdUzbp6sUxV288cfe7BonQPvjUcSnIvzpunTV3Wsm9V1+PTMUU1RH8/L0fRNLx874UO= u5d+iK5wMK3dtRPmrm3bpif5pqfJ8InpF3HtjXMLRNAyacPrY0ZF69FumqqrmqqIpjrRMRHyZ83= n/n+nTrtRXy9PYxE4h4p01qn1XbucZdSn4PG8PWuh/m3f+mw6GdG3noe/twaNt6/ok5+Ha8Fk15= nhJtVRFcfsdWOe/08PSfg37p17dOjatf13UK825YyKKLc1UU09WJp54+TEPzeiT9/e/Ptq/vIcL= ur1E03bV6Yn0x+H5w60WLUTRXbzGXQt3bN3fvbpfztH1HK0W3q9vBoyLldqblNiaIiiIiOYmrn5= Uebh7zuHbObqPRZc2pZvY9OZVp1vFi5XM+D61NNMTPMRzx2eh4T066/rG3OmnUM/RM65hZNWHZt= TXRETM0zTTMx2x6Yj+Z7VurV9SxOhS5rePmXLeoxpVq9F+IiauvNNMzV6O+ZcdVzposTGMe2Pq3= Y9EVXInv8tcd49GGubW1nRtLz83Trt7V73gbFVmuuaaautTTzVzTHZzVHdy7THweN4T/+LaH+bd= /6bote4t57x3BpVq5n5Oo6nZvx4hHVp5ormYnmOIjz0xPb2dj3HE2f0212KK8jf+HYuT30RHW6v= 1c+DfT1Wo1Onppiq5TE/P7w8di1ZuzMxRMw803J0Gb20fTq8614hqdNuOa7eJdqm5EeeYiqmOfs= jmfqfvfBE/ys1r+Bp/tw9v6PdO3XpmlXsXdusY2rZHhetZvWqJpmKOI+TV2R5+f53mvQvYtY3Tn= vqxZoii3TVc4pjujm7y8FXELmo0923cmJx8x9XqjS0WrtFdPtl5v8Jj97Wd/D2P7EPNHpfwmP3s= 538PY/sQ80foeG/wDi2/o+Vq/tqvqJV5lSrzPc86EhIIAKAJJAAQsJLmwrPhLvWq/Zp73DxM1RE= R2y/Ux7cWrUU+fzkzhmqcOSUWUc3IAAYz3smM94sADSgACSqSAAAAyACoAKrGSe4knuRWKopCQM= ap4VjPektQhMAy2ncvIiC8dqSpKiAAAIMZ7xZ70FiQAUcVc81M654jhxyzKgDOCEk4UGssWVuOO= 1IjmeHJDVMM1SANJCTCLKA+gB1cQAaJRZQAAIGy/wbtgxo+lRunVLURqGbb/7tTVzzasz5+PTV3= /Zx6Za36bk04efYy6sazkxarivwN6Jmivjt4q4mJmPveqf9oHedNMU0adoNMRHZxj3ez/9x8ril= rU36OXZj2nu92juWrVXruNit367iba25m61mz/gsW1NXHnrq7qaY+uZ4j72ts9Pe+pqmYp0uI57= I8WmeP8A1PwukDpQ3JvXTLOm6pRg2Ma1d8L1cW3XR16oiYjrc1TzEcy6O8/D+D00UTOopiZddVx= Cqur/AGpxDv8Au3pc3ZubQcjRdSjA8VyOr1/B2Jpq7KoqjiefTEPYPgm/u7z/APatz+6stYHfOj= zpS1/ZGi3dK0rD02/Zu5FWRVVkW65q600008fJqiOOKY8ztr+HxVp+Xp6Yj3y56XVYveu7Pw251= XTsHVcC7gali2srFu8eEtXaYqpq4nmOY+2Idfjo62LHExtTSPvxqXhX/aF3l6r0L8m7/wBRJ+EL= vH1ZoX5N3/qPiUcJ11PtT7fq+lVr9NV3/wCmxmj7f0LR5qnStIwcGqqOKqrFimiZj0TMQ+nU8/D= 0zAu5ufk2sbGs09a5cu1RFNMfa1e1Hp731lWposRpWFP+lYxpmr/11VR/Q6JubdW4ty3Yua5q+V= m9Xtporq4opn6qY4iP5nW3wLUXKs3Zx/dividqmP5Idn6cN/fHbcNNOF16dJweaMaKo4m5M/tXJ= +3iOI80fXMujaR/jXD/ANfR/ah889yUzNNUTTMxMTzEv01rT02bXKo7PjV3ZuXPXU3t3TomHuPQ= MrRc+q5GLlURTcm1VxVxExPZPb6Hn2J0DbEsZNu7XGpZFNE8zbuZPyavqniIn+lrHGu63651H2m= v9Sdd1uY4nWNQ4/ia/wBXw7fBtTaiaaLuIn6vpVcQs1zmqjLb/pF3pomw9uVVVXLEZFNnweFhUT= HWrmI4piI81MdnM+aPuh5f8EnIu5Oqbqyci5VcvXfF67ldU9tVUzdmZn75eBXbly7XNy7cruVz3= 1VTzLlw87NwpqnDzMjH6/HW8Fdmjnju547/ADvRRwaKNPVbir+ar5c6tfM3YrmPaPh7vqu7MXaP= wmdTzNQueDwcqzaxr9fHMURVbtzFX3TTHP1TLvnST0caH0kU4eqWtUnHyLdrqWsnH6t23ctzPMc= xz2988TE+fztWtAxLu491abp2XmXfCZ+Vax6r9czXVT1qop57Z7eOe76nvWJ0A3sSmacTfWfj0z= 5reP1f6rjx6yxb0tVExc9NcR+Dvp7tV6mqPRmmZd66Jdg29g6fm4lvU69Q8bu03Jqqs+D6vEccc= czy6Z0Sfv6359tX95DuWz9DwujXbOdd1jct/Ntzcm9cycuvq9WIp4iimJmfRPd2zMtUtzbiydR3= dq2t6ffycOM7KuXaYouTTV1JqmaYnifRw4aPT16uq7HqzmO/6uuou02Io9u3w7d8Jqf/ABZzf4e= z/Yh77oWPg726GcLTreX1LWbpdvHruW+KptVxTETHHpiqO76mnWVkZGVem9k37t+5PfXcrmqr+e= XLhZ2dhRPieZkY/Pf4K7VTz/NL69/hdVyxboirFVLwWtbFFyqqY9qntej7PwuiXpT21k6rrlrLx= 87w9vw04/gqbNXU6tMz8qrvmqI57OHq/SVtHWt114VzRt45uhU2KaorpsRM03eeOJnq1U9scT6e= /wA3n09zc7NzerOZmZGTNHPV8Lcmvjn0cy5cfV9Wx7cWrGp5tq3T3U0ZFVMR90S5XuF3rlVNya/= 5o/JujW26ImmKfafzbj9Ge1tX2thZljV9z5OvV37kV27l+Kom3ERxxHWqqdB6If39b8/+qv8AvY= a8TruueudR9qr/AFcFnUdQsZFzIs5+VbvXf/MuUXqoqq+2YnmWKODXMV+quM1R+DVXEKc04p7PQ= vhMfvazv4ex/Yh5o5MnJyMq9N7Kv3b92Y4mu5XNVU/fLjfa0tmbFmm3M5w+deucy5NX4iVeZUq8= z0OaEhIIAKAJJADK1RNy5FEechX0YFrmrwtUdkdz7UopimmKYjiIZMTOXGZzKSiyiIAAMZ72TGe= 8WABpQABJVJAAAAZABUASVVCQkVioiJCVSxWe1GZagFRFyEKiqEgggvCSNZABMJPeiygAJVJKsK= u2eUZJLm2nCKAgcLTHM/UBTHHayU4dGEAFhJRZQR9ADo5AA0SiygAAQJKpJCygCoAEkJPeE94Ei= KAk9yLPcgAAQJPcqSKytV127lNy3XVRXTMTTVTPExMeeJfb/LOr+tc72iv9XwwMzRTV3giqY7Ob= MzMvLmmcrKv3+r3eFuTVx/O+dZRYpiOyzMz3SVjuSVjuaZAEEkJFgkAUEq8ypV5gQkJBABQBJIR= +hhWupb69UfKq/oh8uJa8Ld7f2Y7ZfpMzLFU/CgMsJKLKAAAMZ72TGe8WABpQABJVJAAAAZABUE= mFFViSSSCMap8ysZ70lYQBGl8yLPciILxKMlViMphEVAAJRU4RYE4UBjPYwZ1T5mPDMtQgJwirw= xXkMCM6Y4hKI5llMLTBKcqxOWmMrKEgpKcKCOYc3imX82ufhk8Uy/m9z8Ms9Ra3R5OTc2y4RzeK= ZXze5+E8Uyvm9z8J1FrdHlrk3NsuGUc84mV82ufhTxPK+bXPwnUWt0eU5NzbLhHN4nlfNrn4TxP= K+bXPwnUWt0eVizc2y4Ulz+J5Xza5+FJw8v5td/CRqLW6PK8m5tlwDn8Ty/m1z8MniWX82u/hle= otbo8pybm1wDn8Ty/m138MnieX83u/hlOotbo8kWbm2Xzz3jmnCy/m138MnieX82u/hleotbo8n= JubZcI5vE8v5td/DJ4nl/Nrv4ZOotbo8nJubXBPcjnnDy/m138MniWX82u/gk6i1ujycm5tlwDn= 8Syvm138EniWX82u/gk6i1ujyRZubXAkvo8Syvm138EpOFl/Nrv4JOotbo8rybm1wwOfxLK+bXf= wSeJZXza7+CTqLW6PKcm5tl88o+icLL+bXfwSeJZfza7+CTqLW6PK8m5tfNKx3ObxLL+a3fwSsY= WX82u/gleptbo8pybm1wD6PEsv5td/BKeJZfza7+GU6m1ujycm5tl88jnnCzPm178EniWZ81vfg= lY1NrdHlZs3NsuAc/iWX82vfhk8Sy/m178Er1FndHlOTc2y4EnzPo8Sy/m178Ek4OZ82vfgk6iz= ujycm5tl8w+jxHM+bXvwSTg5nza9+CTqLW6PJybm2XzD6PEcz5re/BKeI5nzW9+CTqLO6PK8m5t= l869szxEczL9vTNobq1PG8Z07buqZdjrTT4S1jV1U8x3xzEP0sLo+3rFc117U1mOO7nDr/RidXY= j+uPJybmP+Mvxce1Fq3FPn88uV2H4i70+iuseyV/ovxE3p9FtY9kr/AEY6uxvjy5ci7tl10di+I= u9PotrHslf6HxE3p9FtY9kr/ROrsb48nIu7ZdclHY52JvT6Lax7JX+ifETen0V1j2Sv9Dq7G+PJ= yLu2XXR2L4ib0+iuseyV/ofETen0V1j2Sv8AQ6uxvjyci5tl11j53ZfiJvT6K6z7JX+jH4h71+i= us+yV/odXY3x5WLFzbLrg7H8RN6/RXWfZK/0PiJvX6K6z7JX+jXV2N8eV5FzbLrg7H8RN6/RXWf= ZK/wBD4ib1+ius+yV/onV2N8eTkXNsuuI7J8RN6/RXWfZK/wBE+Ie9forrPslf6L1djfHk5FzbL= rg7H8Q96/RXWfY6/wBD4h71+ius+x1/onV2N8eTkXNsuuJy7J8Q96/RXWfY6/0PiHvX6K6z7HX+= h1djfHk5FzbLrg7H8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHlORc2y64Ox/EPev0V1n2Ov8AQ+I= e9forrPslf6L1djfHk5FzbLrQ7J8Q96/RXWfY6/0Sdh71+ius+yV/onV2N8eWuRc2y61PenDsnx= D3r9FdY9kr/Q+Ie9forrHslf6HV2N8eTkXNsutTHZ2I7N8Qt6fRXWPZK/0Sdh71+iuseyV/odVY= 3x5Xk3Nsut98I7J8Q96/RXWfZK/0T4hb1+ius+yV/odVY3x5OTc2y64yh2H4hb1+ius+yV/ofEP= ev0V1j2Sv9DqrG+PJybm2XXkl2P4ib0+iuseyV/oTsTen0V1j2Sv9DqrG+PJybm2XWx2P4h70+i= us+yV/ofEPekf/lbWPZK/0Oqs748rybm2XXB2L4ib0+i2seyV/ofETen0V1j2Sv8AROqs748rFq= 5tl1ye9JniHZJ2JvT6K6x7JX+jjq2PvLnj4r6v7JX+h1VndHleTc2y66OwfEfeP0Y1f2Sv9D4j7= x+jGr+yV/ox1FrdHleTc2y6+xdi+JG8foxq/slf6J8R94/RjV/ZK/0Ootbo8nKubXXk4dh+JG8f= oxq/slf6M6NibzqjrRtbV5j+Er/Q6i1ujycq5tl1+I4jgl2P4ib0+i2seyV/ok7E3p9FtY9kr/R= rqbO6PJyrm2XW+xOHZPiJvX6K6x7JX+h8RN6fRXWPZK/0XqbO6PKcm5tl1yCYdj+Im9PorrHslf= 6HxE3p9FtY9kr/AEOps7o8nJubZdbHY6tib0+iuseyV/onxF3p9FdY9kr/AEOps7o8pybm2X6PA= D8C/WgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD79v6Vla5rWLpOHTzfybkUUzPdTHnqn6= ojmZ+x8D3n4P20/ENKr3Hm25jJzKerjxPfTa/wBL7ap/oiPSg9G25pGJoeiYulYVHVs49EUx6ap= 89U/XM8z979EiOBAAAAAAAAAAAAAAAAAAAAAAAAAcVc8yzrniOzvcYJwjIBiLwgJMCgIkxyvADH= jhO9mkwDHhGRwDDgZcJPcDivVdSjmO/wAz4/O5r1XXrmfNHZDjmBWExDGaWcwA4+IThyTDGY4US= 3RNdcUx53300xTEUxHEQ48S31aetMdsudFYpLLhBEJXhBMJwjJOBUlOIZSgNRAGkAAAAAADl+1t= bFx9Qp1PT68eLmVcw6rmHVH7VNy3MVzEfbRFcfbw7PG29OqysKIxaJtaPdm1rU01TPhOra8NVM+= jmabtv/dp88g8+OXctH0zS8/B03WrmNTRj4l3I/lK1RMxE00R4W3H1daJ8H/ux5zWNP0rS8bUNW= oxaLuPlZdidNtXJnjwVVMXq/t4iaKJ+2QdNHoVe2NPs39QsXMejjVbtVGi1TVPyafBeGpmPTz17= VH31eh1nc2HaxKMLDx8Oqi9i4VurOucT23bny+30cRVRT9sA/Dct+xXZtWrlVdqqLtPWpii7TVM= RzMcVRE80z2d08T53bNcr0jQ8qNCo23j5seL26qsu7cuReu1V24q69E01dWKYmeyOrPZHa59O0H= TM7L2xau0UWreRpt7JyO2qJvVW670xE9WJntiimPkxzx3RyDo47nuCjbuVoGVkY06RayseqjwP8= m2sziqJniabk3aer3czE8xPZL9CbG36922tq29vYtFrJot0VZc3Lk3qLldqKutT8rqxETPdxPPH= 1oPPHLTYrnFqyYrtdSmuKJpm5TFfMxM9lPPMx2d/HDsmLGnaNtfT9Tu6NjapkZ927FVWVNfg7NN= uYp6sRRVHyp55mZn0cQ4rmLh5e2NSzsbTYxrs6pYt2bfXmubdFVFyepEz2zHMR39vZCjrZ//ALv= eh5ek6VXpuqadXjaFZzcDDru8Yd3IuZFuu3x1uvXMTant5iY5757H5moXNK0W7i6RG2cbUPCY1m= 5cyrly5F6/NyiKubU01RTTETV1Y7J/Z7fOg/A1XSbun6jn4dV6xXOFX1a6puRTNfbx8mmZ5n7I5= fnO77ixMa/rO9712x1rmNMVWZrj5VEzfopn7+JmHz6jc0rRqsTSPi1j5/hcazcuZNdy7F69NyiK= ubUxPFMRNXEfJnu7QdVosV141zIiq1FFuaYmJuUxVPPPdTM8zHZ2zEdjG7buWa+pdt126+Inq1R= xPExzH88TEu5a1p+nadc3Jes6faqjT9VsUWbV6KpiKObnNE8TzxPViJ7eezvfRr1yjWt5YuJRom= k26LOLZyL1XhLlqmq3GNRXPhKpqniimO7jieI75lR0S1T4S7TbieOtVFPP2vs3Bptej65naXcu0= 3q8W/VamumniKppnjnh2jcmHpdzRcPVcG3pVF2jUIxq503w8WqomnrcT4aP2o476eztfl9I1q7O= +NfvRbrm1TqF2ma+rPViZqniOfT2T/Mg66cw7xqEaNo+uWNufFrHz7dUWabmTcruRfvTcppnrUT= TVFMR8rsjie6OUu4Gk7ewtduXtOx9WvYOrxh49V+qqKOrxc5mqKZjn9mOznv+xR0gdy1W5pOheJ= afO3MTUJycW1k3ci7cuxXXN2mKuLXVqiKYp56sTxPbHa/I3zh42n7sz8PDsVY9i1XEUW6u+mOrE= 8T9YPxAAAAAAAIiapiKYmap7ojzg7P0Z7Xubq3RZwqomMO1/hcqvjuoif2ftqns/p8zaaxat2LV= Fq1RTRbopimimmOIpiO6Ih1Dom2rG19sW7d+iIz8ri7lT54njso/3Y/pmXcmQAAAAAAAAAAAAAA= AAAAAAAAAAJEq5nsBhM8zyizCAnHApwCBMAJMIyAYizCAgpwCJwoDFxX6urTxHfLmmYiOZfLXM1= VTIsOLhJhnwgrCYSYZzCcA42Vqjr1xHm86zD6LNHVo+ue2RJZ+bgAQAFSYRkTAMeEZIIgvCA1CA= aAAAAAAH06ZnZemahY1DBvTZybFcV264iJ4n7J7J+9z2Na1Wzb1C3azblNOpRxlxxE+Fjnrdv38= 93pmPPL88B9mJqediadmafj5E28bNiiMi31Ynr9Weae3jmOJ57jN1PPzcHCwsrIm5j4VNVGPRMR= HUiqeZjsjme30vjAfoX9b1a9Vp1VzNuVTptNNOHzEf4KInrRx6e30+iI7ohlk65q2RVqU3s2uqN= TqivMjiIi7MVdaOeI7OJ9HH8z80B+zjbp3Bj4EYVnUq6bVNE26Jmimblumf82muY61Mds9kTD46= 9W1KqcGrxuumrAo6mLVRxTVajrTV2THE99Uzz39r4gH6usbh1nVrMWc7M69qKuvNFFui3FVX+lV= FMR1qvrnmXDTrGpU6zb1inJ4zrc0zRd6lPZNMRTT2ccd0R5nwAP09H1/V9Js12MHL6lmuetVauW= 6blHW7ut1a4mIn64jlx5WsanlWsi1k5ly9Tk36ci9NfE1V3KYmIq63fHEVT2cvgAfuZO7dw5Niu= xe1GaqLlubd3i1RE3aZiYnrzFPNc8T31czHmYYO6NfwsGjDxtRqptW4mLczbpqrtR6KK5iaqP92= YfjAPvv6zqd+5n3LuT1q9Q48amaKf8ACcVRVHm7O2Ins4dq0TOro0nEt0b6x8TGooiK7d7EqnJx= /wDSptVRRVMR38cVU/ZHa6MA/Y1/XcjUNQ1auxVVbxNQy/GJtVUxM9k1dTme/mIqnuSNya3FWDX= Tm9W5gUdTHri3RFVNPHV6s1cc1Rx2cVcxx2PyAH6up7h1jUrUWszLiu1Tcpu026bVFFFFVPPE00= 0xER+1PZHf5+XHn65q2dby7eVmVXKMzJjKv09WmIruxEx1uIjs757uIfnAP2sPde4cTDpxMfUq6= bdFPUt1TbpquW6fRRXMdamPqiYfmxnZcadc0+Lv/drl2m9XRxHbXETETz391U9j5wHd9v51y3o+= Nas73xcKxRH+Es5OJVVex557fAzFFX2xxVT2+h1zdmpWtY3JnalYpuU2b92arcXP2urxERz9fEd= r8sAAAAAAAel9A2051fXp1vMtz4np9UTb5jsuXu+I/wB3v+3h5/o+n5WrapjabhW5uZGRciiiIj= 0+efqjvmfREtr9paJjbd0HE0nEj5Fijiqvjia6v86qftlJH60RxACAAAAAAAAAAAAAAAAAAAAAA= AABLGFn0AITCgjCYRmkwKxOFnsQEFJgESYUBOEZJwCJwqVTERMyDhvzPHVj73C5J5meZ70mIkWG= EpMMpiUFY8Jwz4SY8wFmjrV8z3Q+hLdPVpiPP52QyicLMAMRknAIAAnCgqIyOAa3+TPfHqK5+db= 948me+PUVz8637zaAXKNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPz= rfvNoAyNX/ACZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/y= Z749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvH= kz3x6iufnW/ebQBkav8Akz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8me+PUVz8637x5M98eorn51v= 3m0AZGr/kz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8AJnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M9= 8eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ= 749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/wCTPfHqK5+db948me+PUVz8637z= aAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me9/UVz8637zaAMjyroT2Hl6= FdydY1zGiznTzax7c1RVNFP8AnVdnZzPd9kT6XqpxHogQAAAAAAAAAAAAAAAAAAAAAAAAAAEmFB= EADIAGE4SYZAZYIzmEmBWKcMkBBU4AcN6fldWO5yV1cRy4e8GKTDLhBWKTHLNOAYcSzs08zz6CI= 5nhzU08RxAJwKCMTheAGIpwDHhJZAMRZhAAAfoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgpwJ7oEwAAAnDGYZgMEZTDC52QK4655q+qGEwzlAYD= KYSYBjMehGREczwC2qe3nj7HIccAInDIBiLwnAJwjIBicLwgIKkwCcHCgPuAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOAEwkwKSCAgo4qp608s= 657OHHwJhJSWRwKx4RlwnAMeGVuniOfSRHayAOABBU4AABJhGQDEXhASUZJMAnBwqA+0AAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJ445Vj= X2iYYTzyjJOBWPBwoDEmF4POBTCgCcIyAYi8IAnCgIKnACKAnCMkQQ4ZU0zVVEQ5vB0ehRmAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABMse= FnvBGMwkwzSYDLBJhnMJwKxWIAE4FAQJAE4UBOEZJwCC8IBwigIkspgopmqrjzA5LNPEcz3y5Of= qAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= ABJVJAAAAEwJMKAxmE4ZpwKwFmAEOABOOBTgEAASYUBiMkmARzW6eI+1x245q+qHNAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgnHCn3= ggqcCgAAAgnCgMOEZpMCsRZhACYAEFSYABlbjmeQZ0xxCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJg4SVAQAXIAGAATCJMMgMs= OEZ8JMCsRZQDjlyUxxHEJRHnZAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACJMCgIHCCqAAAInCcdrIgFAFAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAO04ARBUDIAKR2qQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHHaAmAAUAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAmU5fkbu3Hpe19LjU9YvV2cTwlNublNE19WZ7uYjt4= YbZ3PoW5sa5f0LU7ObTa4i5FHMVUc88cxMRMd09/oa5dfp9WPZiblMVenPu/a5OWq1vpe3roOu5= +PGfb1DGt5VyKbWXR1uIiueyKo4q7vrbI7M1ivX9radrNePGPVmY9N2bcVdaKZnzc+d6dVobumi= Kqu0vNptbb1EzTT3h+z5uSJ5dO6Yd31bI2Hm63Zooryommzi0V/szdqniOfTERzPHn4eDbL0bpw= 6QdMr3HibvvYWLeuTFqq/m3LNN3iZiZoot0zEUxMTHdH1PI9jarkeG5WD0j7J6MLtOq9IGlYesX= dXpqt6hm3671qLE2uPBc3LVUxVNVMzx1fv8z07B3Fp+kbJ0nVNzbg06nwuHZm7m1XIotZFybcTN= VHMRzFU8zEREdnmgHZB1XTekXY+pVZFOBuXAyJxsevJvRRXM9S1RHNVc9ndEPmp6VejqqqKY3fp= fMzx23Jj/kDuY+LK1fS8XSf5WydRxLWn+Di541Xdpi11Z7qutzxxPMPwNN6SNi6nqFjTsDc+n5G= Xfri3atUVzM11T3RHYDtg8p6LN1alas7l1DeG/ND1jBwq7c0V4nERiUzVXExc4tUds/Jj/O7pdl= sdKXR5evUWqN36V1q54jrXurH889kA7iJTVTXTFVMxVTMcxMd0qAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADy/wCE5+7G5/F2v= +bqXwR+7c3/AA3/ALrtvwnP3Y3P4u1/XLqXwRv2dzf8L/7r7Vr7sq+v+HxLv3jT9Hie5P8AKHUv= 4u7/AG5be9EP7sdv/wADR/U1C3J/lFqX8Xd/ty296If3Zbf/AIGj+p6uNfYW/wB/Dz8H+3ufv5d= D+GBjX7/Rfi3bVM1UY+qWrl3jzUzbuUxP4qoj73Yvg46jg53RFotvEv267mLbqs37dNUTVbriur= sqjzc9/wBku5bm0TT9x6Fl6LqtiL2Hl25ouU88THniYnzTE8TE+mHgWb8GOvxu7Vp28PB48zzRT= ew5muI9EzFcRP28R9kPzb9G7V8MCf8Awtxv9q2v7u68d6UMvJzNf2Fpl/TsnVMTH29p82sC1VVE= 5M1URNUR1YmeZ4insjn5L1ijoLyqejC9s6rc1mq7c1enUIyZxZ4iItdTqdXrffzz9z9je3Q1i7k= 0Lb1q1rN7Tta0TBs4lrOtW+YrptxHHNPWiY7YmYmKuznzivP9sY2NOi7xrp6KMzaVdvbGfNObeu= ZExXPUiPB/4SIjmYmZ9PyX42wdibY1b4PmvbozdPmvV8SMmbORF2uJp6lFM09kTxPb9T1HQeine= GLa1bH1jpFzNWxtQ0vJwabN6m5VTRVdo6sXOJrmJ47X6u0+jK/oXRJquxatYt37mfF+IyosTTFH= hKYj9nrdvHHpEa769m5eR0NbD0i7l3KMK/qGb4Tmrsjq3KIp/m8JXx9rZTbnQ/sHRM7C1LT9Gqp= zMOqm5avVZFyqrrR3VTHW45+516joP0/J6LsTZ+p6rNzKwsi7kY2fZs9WaJrntiaJmeae7mOY7o= 7YfPszoh3hoGv6Zm3ekjPzMDCvUVThzF2mi5RT/mcTcmIjj6uAeadE2p6JpG0OkrL3Fg1ahp/hs= eivFprmnw1U3LvVp5ieYjrcdvoj7nXN3VafnbOu52n9EWZodiuKLlrVqb+RctUUzVEd9VPVmKu7= v75h7hoHQZbxNu7o0XUtc8Yt65ctXbdyzj9SrHrt1VVUzxNU9btqj0d0+l+Fe6BN23dH/kW50l5= NemRTFEYlVi5NrqxMTEdXwnHETEcfYD0noAy8jN6H9u5GVdqu3IxqrfWq7+rRcqopj7qaYj7ne3= XOjPbde0Nkadty5l05dWFTXTN6mjqRX1q6qu7meP2uHYwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAeX/Cc/djc/i7X9cupfBH/= AGdzf8L/AO67b8Jz92Nz+Ltf1y6l8Ef9nc3/AA3/ALr7Vr7sq+v+HxL33lT9Hie5P8otS/i7v9u= W3vRD+7Hb/wDA0f1NQtyf5Q6l/F3f7ctvOiGf/DHb38DR/U9XGvsLf7+Hn4P9vc/fy7NnV1W8DI= uUTxVTaqmJ9ExDVLYm6OnPe3js7d12rIjCqoi914x7fV6/W6v7VMc/sy2r1P8AxZlf6mv+zLX34= Fn/AJW7P9Zi/wBV5+bfo4fNsTpR37t3pKs7Q6RqvC05N2ixVNy3RFdmqv8AYrpqojiqiZmOe/7u= Jeoba1nduT0raxpeoZej16FZornFtWL9qrJpmJp469EVdaI7Z74jzPFfhN128zp10jGwZivJoxs= WzXFM9sXJvVzEfbxVT/PD7sXUcnSOnLpL1PDq6uTi6TmXbVXHPFcRb4nj6pBsVnbk2/p+TVjZ+u= 6Xi3qe+3ey6KKo+2Jnl1rpG3RmfE69n7G1nQr+ZayLdFV29mWvA0xPPMTVNUUxPojl4r0KdFW39= 77JzN0biy9QyM25lXojwd+Kf2YieapmJmapmZnnn0OmaHER8H/c9Md0a3iR/wCmoHs/TdvzXdv9= F+3snA17Dxdx5FePVmU4tdq51qarNc11Ux2xNE1xHFUdnd2vS9qbq0jM2liajka7p1ybWJYqzbv= jNHFquumP25ieKZmrmO3jta9dN+29Lt9C+yN1027n8qXMPAwaq+vPV8F4tXXx1e7nmO93bL2z0d= 7G6FcnM1TEzq8PW8bCqy7Nq/M3L92ni5RTRM9lPbNUz9UT9gPXMfde2Mm/RYxtxaReu1zxTRRmW= 6qqp9ERE9rzLpX3duLSOmnZ+habqdzH03Pmz4zYiimYuda9NM8zMcx2dnZLwLeU7Mu7fjJ27s3c= ek3+vTVby8nIm5Zqp9Hd5+Y4mJ9DvWtZuVqO/uh/Nzb1V/Iu4GFNy5VPNVc+GmOZnzzPpBtTAQA= AAAAAAD8PfG4MbbW28rVL/wAqqinq2aP9O5P7Mf8AOfqiXgHlU33zP/xqI+rxWz7gNmxrJ5VN9+= u49ks+4eVTffruPZLPuLgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367= j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyq= b79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+= /XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsay= eVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHl= U3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbN= jWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9= w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcM= DZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZ= LPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz= 7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79d= x7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/Xce= yWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTf= fruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU336= 7j2Sz7hgbNgIAAAAPL/hOfuxufxdr+uXSfgp52FiVbioyszHsVXZxvBxduxTNXHheeOe/vh7zq+= mafq2L4pqeFj5mP1oqm3eoiqnmO6eJfkVbE2ZMdu19In/AISj9Hvt6ymnTTYmO85y+dd0lVWpi9= E9vhrruLok31d1LNzsTSrWXYu37lymbWVb5mmapmOyZh6F0e9It3auiYW3t57c1TR7WHbps282r= Hrm3VEeers7Pu5ek2NlbYxuZw9IsYcz3zi1VWZ/nomJc8bdtW4mnG1LU7duqOKrdzInIoqj0cXe= t2fZw6XuIc+iKLsZiP0Ys6CbNc125xMvtsZeJrGj13tOy7GTZv2qot3bdcVUzzHHfDWvTPg/9JG= mzd/k3dmmYXhJia/F8zIt9bjnjnq0RzxzP873jE2dj6ZkXM3Rb9Om5NUzM02LfVsXezs8Ja56sz= /81PVn63Z8abk2om7TTTc4+VFM8xz9T51WM+z6VE1Y93h3RZ0E39A3RZ3LurWLWpZuPc8LZs2Yq= qo8J5q6q6+2qY74jiO2Inme5+3onRdnWeljc259Uv4ORpGtY17H8Woqr8L1bnU5ir5MRHZTPdPn= etJMcstNVq9nZ+1bmda2X0y6BjaZc5uV2bupRbrniJ7Jpp60TPHZzHHPofN0PbM1Pe/Q9uLR9Ov= 41i7d1excpu5E1RRPUo5qj5MTPPyo8z2SvoG6Na7lVyrRsiaqp5n/AL7e7/xO97b0DSNt6Ta0nR= MG1hYdrnq26OZ5nzzMz2zP1zMyK6HvXozydzdD2jbNuZ9jH1DS7ONNF6Imq1VdtWptzE9kT1Ziq= rt457ux1ux0R7y1Xo+z9r7t3VjZUW6sevSK7XWuU4824rpmmrmmmZiYqpjvmY4+rt7rujU83P3n= Z0rCuX7GNptrwmfNNVdEVTdpmLcxNMTz1erNXFUxEzMejs65rd/eutZ1i9GHrODHgZt0049FVvw= XhOrz1p5+XVT16O2eI5t3PNPLtRYmr5eeq/jtDquq9EfTBqm3adu5+9tIyNLt00UU49ddziIo46= kcxa57OI879+50Sa/Xruws/wAf0zwe3MbHs5Udevm5Nu5NUzR8ntjifPw7Bcyt5YOhYFjBwL1zx= m1NNyK4u1XLHWimmOZqmaoqpmvv7qot1TERzD6NG1HdOu61gWNS0vK0/CouU5VdUW6rfbFuKvBV= VTPyoiq5THPEczbq7OJ7HJnGcrzo7YeiUqlKuLsAAAAJVPCuidM27I25tmbGLd6uo5vNux1Z4qt= 0/wCdX90dkfXMegHlXTduyNwbknT8S51sDT5mimY7q7ndVV/RxH2c+d5+faKACgAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADdABkAAAADgAODgAOCIi= O4AAAAAfLXp2Bczac65hY9WVTTFNN6bUTXERPPEVd/D6erT6FBMJ1Y9BFMQoKAAAAATPAOLMyLG= Li3cnIuU27Vqia66qp7KaYjmZaqdIG5L26dzZGp1zVFjnqY1uf8AMtx3R9s98/XL0/4Qe6/A41G= 18K5/hL0RczJj/No76aPv75+qI9LxBYABQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAABugAyAAAAAAAAAAAAAAAAAAAAAADG5+yANXemD94+sf62n+= xS6mCgAoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAA//9k=3D" width=3D"793" height=3D"1121" alt=3D"" style=3D"margin-left:-1p= t; position:absolute" /><img src=3D"data:image/jpeg;base64,/9j/4AAQSkZ= JRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBA= QEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAAbAE0DASIAAhEBAxEB= /8QAGwAAAQUBAQAAAAAAAAAAAAAABwUGCAkKAgT/xAApEAABBAMAAQQCAgIDAAAAAAAFAwQGBwE= CCAkREhMUABUKFiEiGCUy/8QAFwEAAwEAAAAAAAAAAAAAAAAAAAECA//EACkRAQACAAYBAwMFAQ= AAAAAAAAECEQASITFBUQNxkfATImEygaHB8dH/2gAMAwEAAhEDEQA/ALAbx6gFUHCruua3rKsFM= MDvK/BjZu2mcwdmDZDW+LBBRGGRYS3M6bOyDrRuPBR8MxTTQatUEUk9Go5nvujzW3N/m+6DizK0= o6FqbmeLnGqRiK1tedm26ftJ0HdJ4cMNZg3jZduPhxR033S3cDFMvXg7ffZF4gi4TUQ1DjUFHp9= 5X/HtX1jtGj+vMdg+QCyRAYpjTcPIbgrE/dUprRB6grn4FnkcMMk5QE13122/asENE9d9lM6ZcD= 3yLdzI0R2hNAl83CT7Urt/ZDeV8go8yOCkS5trYN0fXsL2s8JJW8FS+6+iVIF5XN443LyCQNp+m= OeGmjF21EKI75QhG5S1Va1V6/c29TGEPGOaaqynLmVVZ0n5DeivTHcTv/oqsb6R5H7biswo6/zA= R/JqzMArSmcgqO9I6I2/7l9WUpWKtt1ioVPbRcvGSCSRhmh7190fj11yoSWJnproe4bApHmWTvI= 8ypSLBZX0HfVjy+ekINWmZQyfFYrBQQNjJWDmY2KcCMFpAuLw/Yj4+Eci3pV3osWHN1mF5GZrA7= Y8aNMXvGulpv1VN6i8idFo863tPapzVUrLE5OeZx2YQmOqpxeHpS6OrRAhJ3hMoNE5HkHUc0YPf= sPY5ndB78/T6q4QO8jXAnQBpKuMd1OJVcHPFklXbIKIs0zJaNhVYyylxUkKbIimtiRArWwwuCjT= 9ym5PBZfs5EJqrNXSP4EIxnu/cLlWyzLw+51V+k/SieWm0lBlWaVWINFrrduv8XgftJJ1jV1HVv= 1jM7KK3NyzOZElFJjJGidg1PbVEE3koViI0xY0FdziRMlYo8K/RWXfJP2bwWFLhzLhtuye/Lp4Z= l0nI5b0Xjk+sOi67qGaBq2dW9Zln37c8hDRWBwJogs9xkPH1pgJfTGSKjGrs45HNXrVsGjzfcyT= X0bKoZ3APKsIiPEfgmeePSS5Jp9w972bcZUnz2SeiSk4rlmYsJhVyNlyEKIcO14pXounKlhk+SO= G9m6T82a2RGLrOHCLNKQEAhXKzqy+v8AmbsOrqIlqnW4qt57yjL+icaAa4K27X1QDKoJVgpZSOi= JuEyfdyAFycQmDKMCxYWXL6CcPXbdZv8AhljnC6qN5RDkD8/7d4bCB5IRuhtY5mmq4sdSzfbCGP= uO44dSy/W4XqSOdh8fxmfK17c9h1i9sWBz2jHO0n/q7SdyOJuZiabG63cOXIo8qTaKtSDWEGB0t= y2WH7OstyXOLWuKVTKa11T1hsYKIp6t07h6S6LuGxZ3pU9BVw51eKBnBFgOkCL+Uy6TpCyboJH2= jlsjoOYOHzt1jZRk2dxFuvPcPOXJ9wcqZ6Fqo4968aTzmioPHdI5Nv0TYcBqGVR4hUhu3x12JZZ= y6PxCFi/t2XGSVgJEhI6JtI4D2cInd8M2xUBs4PXAHsnjW3Fa70U7RgNGlucZbeshMwqoLJtujG= IRq7o2cT8SQFbxM0fzFhRuItXxRFscWIk09ESe7RYU/piZxXcdO6y+9b/5gfH4zyRjdXGX25nVM= tCK8Mni67MeOM9GWI3gkxvSuevYx2vR1Rrx9XohjBGVzUzdlHxOULKIjLWVgM2O4cS2tNMprOnZ= Vog2zqIbuSLN07+i7R10HeLWVGpMn0u1eSo/IwY6wK9fRz9wfJyBJk2PVXHXbvIpwYdPlWrIhug= i+2bNlE2m7lRd5hHDh04VVoL6GmthjrX6E6Cv2CVXTF59F8AN/HFzHxTVNsxa47Cswkdlw6Snbq= mOYcq5YgK6r9qL1RZHjCnwiophdu9eNyWGg97dz4co+tE490FFnK/2nEbNUkBXc+u2cOFxFKxwe= strnbGNs6qqN9t9c5xjOdc49cev4yo+SKB+mWxVbb12aGnBi4wgebxxrRjNYqpplRpdxd8YfLn8= j7Cddx9D8v29KRnOz6hO4b8kfLPUcc0dfs6pt6HdDT4jGy01TWV2bLRQ5ursHkGc4SHJs1vcV1w= Owuu31HVX51OrYRChQK+vHVP7qm2g9m3Y2/ypOIJKams7OqOmjWTN9Cb5uTiTQtrjV2okRw4bMs= Lb6Jb7I667Zx8d28w0aZ7f7IMEoP8AYIleqehCRBxiSy9D7D19bcudOl/hbn0kEsquFVFPjRSTS= 093tT000xrrgZxSFMYAJ3AweR2dEAm+m+mREbuO2gw3Gu+ce/2MR81QbJ529c+uyaeu2fXP+fxh= W2h13t3eKp3jVNNN6e3Zv+e8XG+VDyg2VLJXAL769GQytlqaIPpVyF4+4zLh01Oa2a7HOBjG8eg= zwPfA9vvFxzp6lHGDVPVBsu9dNhqi7h0R11hBzj5KeufJO9sWn1Kh5OKB4dCmE7NCrXjsvPAiiT= 2ewyuhDFiPFi5KvkqtI5yFxo6UZoIMmmrt2q8SwjjXeAZfmelz5B0XOxUiaKvVdlnhMtN58RIO1= tv/AEq5ePJQs4XU29Meu6qm22fT/Ofwl0/AYzRBY6cqJEvBS0kCpRw29ESmU7KkAyRoVI27RXD0= y7T02ZyAAENMXSOiTxgUFMXzNwg5bpqajEUUFNn5898GSK5pBKXb1pxtxg82F3r0B4843AZZG6E= 4fizS/GDyRQzepB7/AAamMIDNxjF9MCmG6LMkOBDZ3tKaq3YSDdkUTsOs7FD6CsJRvd85enP3ks= 7b8kGLCqePUFyzPUYtHBUmMwuxGBR63PjnskGR5XUGLeakUipQQkRWPOWaOmj79KLKOGOrhyho2= VhXMaSrifN4k0mYkxJW8Fj5CLRBMtNJu6wAjxWay6xiQphtvI/fo1fTmeTGUOdd9t91S8iJudt8= 5X9NV2rawiNMF8yKqdJJADuXgF/+3jE6nQx/h5GTjORgXGrlCSYV1UFnB7Mk1zrtj2uW+mdsba+= 7XM5IXeUvv56YX0vHd5I2c1rx/wAMSGsLvK7PHu2RUjlJ8PRGeHcif7fC6wikxHTAGIkYnSSwwg= fOLR8WDKDpJHV2RtmzDyQquLSetUCrNg9wogi4OffK71p5AJHKqKWqrlR8xRhD+Yv4/ZwaSn2Eq= QHHY6CRj0aiTBnITEvlaz6SsyDYIEDviqQQaeON0FEwy+uY6WHG2VsRYDCbHISqYxWNkHhIMGNT= eZuG7R883Wyo4331P6OHe6WrhdFlh6s51GtllGo/Vq23yllCqisIZSZ97J6sYk4abJiVQBJ4NlE= qW1IB1iA0v9B60fmnjJ0igYDhzLLK7ZTdgZECy7HduRHM3KLyR00NNTDfHBczEs0Hn5pg6T7ubp= 3x5x+qLAZ8gcm1mn0FGjhYUQhMLNBjaGI0WQYkYrJ13TMWSYlUGD2OSNQFsptq2ESEGq8SbPt1W= rfXr/Fu67nvbvPHWd12GHj8dkX/ACIARHZhGk3Wo3LIDUkNWar41drKrYXUySVwr/v7c4109uMe= mfXFvacXZ3SNbjLaMTexB7A44kg9nLbGsA0gNNvhYwG+IDU3kmUwOVfCw4tq+0ZfAi8+g2WcpKu= EtVfzZ5/FUraF1lyF0YLhAbIRiR6Ry/eIYJFiXzO8VjBm+FflLP36yfoiknp8aSmiX+vu9nvztt= kyR3ovDIRi5gpqr5r+sf/Z" width=3D"77" height=3D"27" alt=3D"" style=3D"margin= -left:441.05pt; position:absolute" /><svg font-family=3D"Times= New Roman" font-size=3D"16" height=3D"41.33" version=3D"1.1" width=3D"209.= 31" xmlns=3D"http://www.w3.org/2000/svg" style=3D"width:209.31px; height:41= .33px; font-family:'Times New Roman'; font-size:16px" xmlns:xlink=3D"http:/= /www.w3.org/1999/xlink"><defs /><g><g><path d=3D"M0,0 L209,0 L209,0 L209,41= L209,41 L0,41 Z" fill=3D"#7c7c7c" fill-rule=3D"evenodd" /></g></g></svg></= span><a href=3D"http://www.anatomiadigital.org/" sty= le=3D"text-decoration:none">www.anatomiadigital.org</a>ISSN: 2697-3391= Vol. 8<spa= n class=3D"awspan" style=3D"letter-spacing:-0.2pt; color:#ffffff"> <= span class=3D"awspan" style=3D"color:#ffffff">No. 2.1, pp. 19 =E2=80=93</s= pan> = 33, abril - mayo 2025 = Revista en ciencias m=C3=A9dicas, salud p=C3=BAblica Art=C3=ADculo de revis= i=C3=B3n bibliogr=C3=A1fica.<a id=3D"_._Metod= olog=C3=ADa"></a>2.Metodolog=C3=ADa= Se llev=C3=B3 a</s= pan> cabo una revisi=C3=B3n</sp= an> bibliogr=C3=A1fica, fundamentada<span= class=3D"awspan" style=3D"letter-spacing:3.85pt"> en </sp= an>art=C3=ADculos y estudios cient=C3=ADficos publicados en</span= > revistas de alto impacto= en el =C3=A1mbito = de la salud humana. Se realiz=C3=B3 una b=C3=BAsqueda</sp= an> de art=C3=ADculos en= bases de datos como </spa= n>Google Acad=C3=A9mico<span= class=3D"awspan" style=3D"letter-spacing:-0.1pt"> y </spa= n>PubMed, as=C3=AD como<span= class=3D"awspan" style=3D"letter-spacing:1.25pt"> en </sp= an>otras como SCie= lo <sp= an class=3D"awspan">y Springer. Para</spa= n> ello, se emplearon<= span class=3D"awspan" style=3D"letter-spacing:1.25pt"> combinaciones de t=C3=A9rminos con <s= pan class=3D"awspan">el operador booleano</= span> AND, incluyendo =E2=80=9CHip= oacusia=E2=80=9D, =E2=80=9Ctrauma craneal= =E2=80=9D, =E2=80=9Ctraumatismo craneoencef=C3=A1lico=E2=80= =9D, <s= pan class=3D"awspan">=E2=80=9Ccomplicaciones=E2=80=9D, =E2= =80=9Cdiagn=C3=B3stico=E2=80=9D y =E2=80=9C= tratamiento=E2=80=9D. La b=C3=BAsqueda se</= span> centr=C3=B3 en revistas</spa= n> m=C3=A9dicas y se limit=C3=B3= a ensayos c= ontrolados </s= pan>aleatorios (ECA), estudios</span= > e = investigaciones originales,</= span> metaan=C3=A1lisis y revision= es <spa= n class=3D"awspan">sistem=C3=A1ticas dedicadas al<sp= an class=3D"awspan" style=3D"letter-spacing:1.4pt"> estudio= de la hipoac= usia <s= pan class=3D"awspan">y el trauma<spa= n class=3D"awspan" style=3D"letter-spacing:1.4pt"> craneal,= especialmente aquellos</span= > que trataban el diagn=C3=B3stico y el manejo de la hipoacusia p= or trauma craneal.Se</= span> incluyeron estudios original= es, <sp= an class=3D"awspan">investigaciones cl=C3=ADnicas,<s= pan class=3D"awspan" style=3D"letter-spacing:2.6pt"> metaan=C3=A1lisis y revisiones sist= em=C3=A1ticas = publicadas entre 2021 </spa= n>y 2025, que= se= centraron en el <sp= an class=3D"awspan">diagn=C3=B3stico y tratamiento<s= pan class=3D"awspan" style=3D"letter-spacing:2.15pt"> de <= /span>la hipoacusia causada </s= pan>por trauma cra= neal. = Se excluyeron art= =C3=ADculos <= /span>en idiomas diferentes al</sp= an> espa=C3=B1ol e ingl=C3=A9s,= <span= class=3D"awspan">aquellos sin acceso</sp= an> al texto completo<s= pan class=3D"awspan" style=3D"letter-spacing:0.05pt"> y </= span>los que no abordaban el tema p= ropuesto. Finalmente se seleccionaron 19 documentos<a id=3D"_._Resultados"></a>3.ResultadosPenn et al. </span= >(15) realizaron = un <sp= an class=3D"awspan">estudio con un= modelo de trauma<spa= n class=3D"awspan" style=3D"letter-spacing:0.45pt"> craneoencef=C3=A1lico (TCE) leve c= on <spa= n class=3D"awspan">el prop=C3=B3sito de</sp= an> establecer la cronolog=C3=ADa<= /span> de la patolog=C3=ADa= auditiva posterior a m=C3=BAlti= ples <s= pan class=3D"awspan">lesiones leves. Los</s= pan> ratones fueron sometidos</spa= n> a = un impacto c= ortical </span= >controlado en la = l=C3=ADnea </= span>media del cr= =C3=A1neo, </= span>con un interv= alo <s= pan class=3D"awspan">de 48 horas<s= pan class=3D"awspan" style=3D"letter-spacing:0.85pt"> entre cada impacto, para </s= pan>un total de 5</s= pan> impactos, la funci=C3=B3n</sp= an> auditiva fue evaluada<s= pan class=3D"awspan" style=3D"letter-spacing:0.7pt"> mediante la respuesta auditiva </= span>del tronco encef=C3=A1lico<= /span> <span= class=3D"awspan">(ABR). Adem=C3=A1s, se= <spa= n class=3D"awspan">recogieron muestras de <= span class=3D"awspan">cerebro y c=C3=B3cl= ea <sp= an class=3D"awspan">para trazar una crono= log=C3=ADa </s= pan>de la patolog=C3= =ADa <s= pan class=3D"awspan">celular. Observaron u= n <span= class=3D"awspan">aumento en los<spa= n class=3D"awspan" style=3D"letter-spacing:2.3pt"> umbrales= del potencial evocado</span= > auditivo del tronco<sp= an class=3D"awspan" style=3D"letter-spacing:0.15pt"> cerebral (ABR) y una = reducci=C3=B3n en = las <s= pan class=3D"awspan">amplitudes de la onda </span= >P1 (ABR) en</sp= an> los animales con<= span class=3D"awspan" style=3D"letter-spacing:-0.65pt"> traumatismo craneoencef=C3=A1lico<span= class=3D"awspan" style=3D"letter-spacing:-0.65pt"> (TCE)= recurrente, en comparaci=C3= =B3n <= span class=3D"awspan">con los animales</s= pan> control. El procesamiento<= /span> temporal auditivo mostr= =C3=B3 alteraciones a partir de <s= pan class=3D"awspan">los 30 despu=C3=A9s</s= pan> del impacto (dpi),<spa= n class=3D"awspan" style=3D"letter-spacing:1.3pt"> adem=C3=A1s, la degeneraci=C3=B3n</sp= an> del ganglio espiral fue</spa= n> evidente desde los<sp= an class=3D"awspan" style=3D"letter-spacing:0.55pt"> 14 </= span>dpi, no se</s= pan> observ=C3=B3 p=C3=A9rdida = de <sp= an class=3D"awspan">c=C3=A9lulas ciliadas. (15).En un art= =C3=ADculo </= span>original publicado<span= class=3D"awspan" style=3D"letter-spacing:1.75pt"> por </s= pan>Bansal et al.<= /span> (1) se realiz=C3=B3</spa= n> un estudio con 380 pacientes de 18 a= 60 a=C3=B1os, los<s= pan class=3D"awspan" style=3D"letter-spacing:5.6pt"> cuales= ten=C3=ADan un diagn=C3=B3stico de traumatismo craneo= encef=C3=A1lico leve, 267 eran </sp= an>hombres y 113</= span> mujeres. Con respecto</sp= an> a las pruebas audiol=C3=B3g= icas, <= span class=3D"awspan">se realiz=C3=B3 el</s= pan> umbral tonal medio<spa= n class=3D"awspan" style=3D"letter-spacing:1.7pt"> (pure </= span>tone average P= TA) <sp= an class=3D"awspan">en todos los pacientes = (n <sp= an class=3D"awspan">=3D 380) en la evalu= aci=C3=B3n <= /span>inicial, de estos,<sp= an class=3D"awspan" style=3D"letter-spacing:-0.05pt"> 269= pacientes (70,7 %) acudiero= n <sp= an class=3D"awspan">a un segundo control<= /span> a los 3 meses </spa= n>y, 195 pacientes= <span= class=3D"awspan">(51,3 %) regresaron</sp= an> para un tercer control</s= pan> a los 6 mese= s <span= class=3D"awspan">despu=C3=A9s de la= lesi=C3=B3n. As=C3=AD mismo,</= span> se realizaron otoemisionesEsta revista est=C3=A1<spa= n class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spacin= g:-0.2pt"> protegida bajo <spa= n class=3D"awspan" style=3D"font-size:8pt; font-style:italic">una<sp= an class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spaci= ng:-0.2pt"> licencia Creative = Commons</= span> en la <sp= an class=3D"awspan" style=3D"font-size:8pt; font-style:italic">4.0<s= pan class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spac= ing:2pt"> International. Copia de la licencia: <a hr= ef=3D"http://creativecommons.org/licenses/by-nc-sa/4.0/" style=3D"text-deco= ration:none"></a><a href=3D"= http://creativecommons.org/licenses/by-nc-sa/4.0/" style=3D"text-decoration= :none">http://creativecommons.org/lice= nses/by-nc-sa/4.0/</a>D i</span= > a g </s= pan>n =C3=B3 <spa= n class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#fff= fff">s t<span= class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-spac= ing:0.4pt; color:#ffffff"> i c <s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#f= fffff">o M</sp= an> =C3=A9 d i c o<s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#f= fffff">P =C3=A1</span= > g i </s= pan>n a = 25 | 33<img src=3D"data:image/jpeg;base64,/= 9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEP= ERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4= eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCARhAxkDAS= IAAhEBAxEB/8QAHAABAQACAwEBAAAAAAAAAAAAAAECCAMGBwQF/8QAWBABAAEDAwAECAsDBgsGA= wkAAAECAwQFBhEHEiExExQXQVFVlNIIFiJUVmFxgZKT0TI3dBWRobGysyM1NkJSc3WChMHTGCQn= M6LDJWJyJkNFRmOjwuHw/8QAGwEBAQEBAQEBAQAAAAAAAAAAAAECAwQFBgf/xAA1EQEAAQMCBQM= BBgUEAwAAAAAAAQIDEQRSBRMUMZESIUFxMzVRYYHwFSJCodEGIzKxNMHh/9oADAMBAAIRAxEAPw= DpoD+lPxQANEosoAAECSqSLKAKgAkkJPeE94pIACT3Is9yAABAkqkiysBAIkosoKkrHckrHcqAC= CSEiwACglXmVKvMCEhIIAKAJJAAQsJKLKKSACD9HDteCt8z+1V2y+XCtde51qo+TT/W/RYmWK5+= BjPeyYz3sswANKAAJKpIAAADIAKgAqsZCQPgAlCEqnsYkiNQkosoKMZ7e1ap8zGGKpy1TAksuWN= TDeQFpjsIgmQWYRqUhJ7wnvAAASUVBRJUnu5QYVT5mE9yzPM8pPc5z7ukIkwqpgliLKfZ2osLTT= 1qo9Dk+5KY6sfWy5daacQ5VVe76AHocAAaJRZQAAIElUkhZQBUB9uBpebm4OdnY9masbAt03Mi5= PZFMVVRTTH2zM931T6Hb+jros17fGi3tV0vO02xZs5E4805FdcVTVFNNUzHVpmOPlR/S897VWrN= M1VziOzrbs13JxTDoU96PY5+DxvD1tof5t3/AKZ/2eN3+ttD/Nu/9N5f4tpN7t0N/a8cOXreV8H= /AHxZpmbWTo2R6KaMiuJn8VEQ6JuzZe59rXONc0jIxrfPEXojr2pnzcV08xz9XPLva12nvTiiuJ= lzr0123GaqXX57kWe5HrcAAIElUkVYAESUWU5gWElY7klY7lQAQSQkWAAUEq8ypV5gQkJBABQBJ= IACFhJRZRSRaYmqqKYjmZ7kfZgWv/vao+qlJnDMziH02aIt24pjzd7MHNyGM97JjPeLAA0oAAkq= kgAAAMgAqACqxkJA+BJWUSSElJhkiNMZRlLCe/hJnCwkx28oyYzDm3EiSqSKR3s0pjiFVBOFFGE= wMp704BAQCUVEX4GFc89jKZ4hxpVKwhCjnhtAEBaKeZ59COWmOIappzOSZSUZVMeJdXPD6QHVxA= BolFlAAAgSVSSFlHPp2HlajqGPgYVmq/k5FyLdq3T31VTPEQ4GxXwZ9gzh4kby1SzHh8imY0+ir= votz2Tc+qau6Pq+15Nfq6dLamue/wAO+msTfuRTD6N57OxdlfB71LTbc03MqvwNzLvRH/mXJuUc= 9v8Aox3R/wD3L7fgm/u6zv8Aa1z+6tP3/hDTHkk1iP8AVf3tL8D4Jv7us7/a1z+6tPy1Vyq5oaq= qu81f+n26aIo1VNMfg9T1vVcDRdMvanqeTTjYlmIm5dqiZinmYiO765h1WOljo9nj/wC02L+Cv3= XF0/8A7pNc/wBXb/vaGnTpwzhlGstzVVMxiWdbra7FcU0w3m0Ddm29fqmjR9bwc2umOardq9E1x= Hpmnv4+5+nnYuNnYl3GzLFvIx7tM03LdymKqao9ExPe0MxMnIw8q3lYl65Yv2qoqt3LdXVqpmO6= Yluf0S7hvbo6P9L1fJqpqyq7c28iYjjm5RVNMzx5ueOfvcuI8MnR4rpnMNaTWRqM01R7tcOnfYN= Gy9ft39Opq/kjP5qsRM8zarj9qiZ9HbEx9U/VMvN23PwktMtZ/RVnXqrcVXMK7ayLc+emetFM/w= DpqlqfpUzTqeLNNm1fmL1HFu9zNFfyo7KuO3ifPw/QcJ1VV/TZq7x7Pl66zFu9iO0vedP6O8Kvo= yo29XoVVWu5GlVanGp+Kz1aLvXiqjH8Jx2VdXsmOfNM+d0jb3Rxo2dtjb+rapum9p97XMivGxrN= OnzdiLkXJoiJqiuO/iPNHe9Kubc6b691U6/Tq2k0RExP8n05t6MTiKerx4P0T39/f2vl1HY3Shm= WtIteKbUsW9J1CvPxrdm7dinwlVybk0zz/m8zMREcdnnfJt6qujMc2Pec9/r7f9PbVYpn+ifb2d= H0Dojrz8/VsHLz9Qt3NPz6sTwuPp/hbVcRETFXWmunie3mae3jsfp6T0c7Z0zTd9YW48+u5l6NN= iLeXasVT4CiunrU3IoiviqaueJpnu6vf2ubeWsdJG0IzLm5Ns6Jm6fnZ3jkVXLNV6xavcRT8maa= 4mn7Kvr4878nae6N+7n3BuTU9I21pesRqduxTqWHctc2OKKerbmIqrie6mrzz5/q49M16u7RNfr= j0+3aY/JyxZomKfT7vjwejrQ6NO0S/rW6b2De1+5VTptu3gzcjq9aIoruT1o463NPZ5ut9U8fTp= 3RRh0xkU63uSvBu29bjR7UWcKbsXblUUzRVz1o4iet9z5r2+Nz7UvWdC1vbeiXcrSrs3cOnMx+v= XhTX8uIommrjiOYmO/js9Ecfi0dIm4PFqbV+nEya41mjWartyietXfpiOIniYjqdndERPomHoij= X1xmmr2+sf2/RxmrTU94di3H0V4Gn2cy5p25pz69O1CxhZ1m5gzamibtVMRMT1pir9qP1fqal0c= 0a/u/WsOa68K1pVy3i0fyZpEeBqiaIq5nm5z1uZ7eZqn6+50zL6SNcyKtXm5i6fH8rZtnMv8AFu= v5NdqYmmKfldkT1Y555+52La28d87o1DW7OnbY0fXIzr1Gbk4l6zM27VcUxRFVPNcT3RHfM/c5X= Leuop9VVXb5zHzhuivTVTiI7uldI21ruzt15GhXcujL8FTRXRepo6nWpqjmPk8zxP3y69Hc7V0s= Zu4s/eV+/ujTLGnal4K3TVYsxxTTTFPyZ/aq831v1dS6JN1afs+rdF+5p04NONTkzFN6qa+pVET= HZ1e/tjzvqWtTTRao51UZn+7x12Zqrq9Ee0OgAPY86SEuy9H+ydY3vn5OFo1eLTdx7UXa/D3Jpj= jnjs4iWLl2i1TNVc4iG6KKq5imnu60P2d6ba1HaWv3dF1WbE5NqimqqbNc1U8VRzHbMR6X4zVFd= NymKqZzEs1UzTOJEq8ypV5m0QkJBABQBJIACFhJRZRRnZom7ciiPv8AsfqUxFNMUx2RHY4cK14O= 11pj5VTnYqlyqnMgDLIxnvZMZ7xYAGlAAElUkAAABkAFQAVWMhJIfCSIqSsAIglUsOGVU9qcszL= pEIKkwipwcKSQSACZABUnvRZ70CA4AVEmGTGqeIQYVT2sPOySYYlqEARUAjtngwZZW457XIkRxH= Bzx3ukRhMkosoqPoAdXAAGiUWUAACBJV9eiaXm61q+LpWnWpu5WTci3bpj0z559ER2zM+aIZqqi= mJqntDURMziHcOhLYte9N00+M0VRpOFMXMuru6/+jbifTV/VE/U2+tWrdm1TatUxRboiKaaaY4i= mI7oh1/o72rh7P2xjaNh/Kmj5d+757tyf2qv+UeiIiHYrlNU0TFM8Tx2TL8NxHWzqr2fiOz9NpN= PFi3j5+XgXwot60xTRsvAuc1VdW9n1R5o76Lf/wDKf93637/wTv3dZ/8Ata5/dWnUel3oks6Lt/= Vt3X9w5efmeEi7cpuWaaYrqrriJ7Yns/adu+Cb+7rP/wBrXP7q09t+bP8ADoi1Off3+rzWuZ1ea= /wdl6f/AN0euf8A0W/72hpy3F6f/wB0muR/8lv+9oadPof6f+xq+rycV+0j6Daj4LMV+TOvr89X= +ULvU+zq0f8APlq/p+Hl6jm2sLAx7uTk3qurbtW6Zqqqn7Ibo9Fm3Lm1th6Zo1+KPGLVua780zz= HhKqpqq7fPxM8c/Ucfu08mKPnJwqieZNXw+bpr6kdFm4ev3eKTx9vMcf08NN9I/xrh/6+j+1Da3= 4Smq2sDoszMeqvi7nXbdi3T56vlRXP9FMtUtI/xrh/6+j+1DHA6ZjTVz++zXEpib9MN1OkvW8vb= exdT1vAptV5OLaiq3F2JmiZmqI7YiY9PpeCYPwhN228u3XmabpF/HiqPCUUW66Kpjz8VdaeJ+vi= XtHTt+6XX4//AEKf7dLTXlw4No7OotVTcpz7uuv1Fy1ciKJbx41ek732Xbu1Wqb+nariczRVxPE= VR2xPoqpn+aYeC9COl720ncm6tJ2xe0SL+Feox8urUKbkxV1a7kUzR1Psq7/qeudAGNkYnRHodv= JoqorqouXaaZ/0a7tdVM/fExP3ut9C1dFzpV6SKqOOPHqI++K70T/S8NqqbVF63T7xH+Xprp9dV= uqe/wD8eI9MFjX73SZnY+s04l/V7k2aaqcCmubdUzbp6sUxV288cfe7BonQPvjUcSnIvzpunTV3= Wsm9V1+PTMUU1RH8/L0fRNLx874UOu5d+iK5wMK3dtRPmrm3bpif5pqfJ8InpF3HtjXMLRNAyac= PrY0ZF69FumqqrmqqIpjrRMRHyZ83n/n+nTrtRXy9PYxE4h4p01qn1XbucZdSn4PG8PWuh/m3f+= mw6GdG3noe/twaNt6/ok5+Ha8Fk15nhJtVRFcfsdWOe/08PSfg37p17dOjatf13UK825YyKKLc1= UU09WJp54+TEPzeiT9/e/Ptq/vIcLur1E03bV6Yn0x+H5w60WLUTRXbzGXQt3bN3fvbpfztH1HK= 0W3q9vBoyLldqblNiaIiiIiOYmrn5Uebh7zuHbObqPRZc2pZvY9OZVp1vFi5XM+D61NNMTPMRzx= 2eh4T066/rG3OmnUM/RM65hZNWHZtTXRETM0zTTMx2x6Yj+Z7VurV9SxOhS5rePmXLeoxpVq9F+= IiauvNNMzV6O+ZcdVzposTGMe2Pq3Y9EVXInv8tcd49GGubW1nRtLz83Trt7V73gbFVmuuaaaut= TTzVzTHZzVHdy7THweN4T/+LaH+bd/6bote4t57x3BpVq5n5Oo6nZvx4hHVp5ormYnmOIjz0xPb= 2dj3HE2f0212KK8jf+HYuT30RHW6v1c+DfT1Wo1Onppiq5TE/P7w8di1ZuzMxRMw803J0Gb20fT= q8614hqdNuOa7eJdqm5EeeYiqmOfsjmfqfvfBE/ys1r+Bp/tw9v6PdO3XpmlXsXdusY2rZHhetZ= vWqJpmKOI+TV2R5+f53mvQvYtY3TnvqxZoii3TVc4pjujm7y8FXELmo0923cmJx8x9XqjS0WrtF= dPtl5v8Jj97Wd/D2P7EPNHpfwmP3s538PY/sQ80foeG/wDi2/o+Vq/tqvqJV5lSrzPc86EhIIAK= AJJAAQsJLmwrPhLvWq/Zp73DxM1RER2y/Ux7cWrUU+fzkzhmqcOSUWUc3IAAYz3smM94sADSgAC= SqSAAAAyACoAKrGSe4knuRWKopCQMap4VjPektQhMAy2ncvIiC8dqSpKiAAAIMZ7xZ70FiQAUcV= c81M654jhxyzKgDOCEk4UGssWVuOO1IjmeHJDVMM1SANJCTCLKA+gB1cQAaJRZQAAIGy/wbtgxo= +lRunVLURqGbb/7tTVzzasz5+PTV3/Zx6Za36bk04efYy6sazkxarivwN6Jmivjt4q4mJmPveqf= 9oHedNMU0adoNMRHZxj3ez/9x8rilrU36OXZj2nu92juWrVXruNit367iba25m61mz/gsW1NXHn= rq7qaY+uZ4j72ts9Pe+pqmYp0uI57I8WmeP8A1PwukDpQ3JvXTLOm6pRg2Ma1d8L1cW3XR16oiY= jrc1TzEcy6O8/D+D00UTOopiZddVxCqur/AGpxDv8Au3pc3ZubQcjRdSjA8VyOr1/B2Jpq7Koqj= iefTEPYPgm/u7z/APatz+6stYHfOjzpS1/ZGi3dK0rD02/Zu5FWRVVkW65q600008fJqiOOKY8z= tr+HxVp+Xp6Yj3y56XVYveu7Pw251XTsHVcC7gali2srFu8eEtXaYqpq4nmOY+2Idfjo62LHExt= TSPvxqXhX/aF3l6r0L8m7/wBRJ+ELvH1ZoX5N3/qPiUcJ11PtT7fq+lVr9NV3/wCmxmj7f0LR5q= nStIwcGqqOKqrFimiZj0TMQ+nU8/D0zAu5ufk2sbGs09a5cu1RFNMfa1e1Hp731lWposRpWFP+l= Yxpmr/11VR/Q6JubdW4ty3Yua5q+Vm9Xtporq4opn6qY4iP5nW3wLUXKs3Zx/dividqmP5Idn6c= N/fHbcNNOF16dJweaMaKo4m5M/tXJ+3iOI80fXMujaR/jXD/ANfR/ah889yUzNNUTTMxMTzEv01= rT02bXKo7PjV3ZuXPXU3t3TomHuPQMrRc+q5GLlURTcm1VxVxExPZPb6Hn2J0DbEsZNu7XGpZFN= E8zbuZPyavqniIn+lrHGu63651H2mv9Sdd1uY4nWNQ4/ia/wBXw7fBtTaiaaLuIn6vpVcQs1zmq= jLb/pF3pomw9uVVVXLEZFNnweFhUTHWrmI4piI81MdnM+aPuh5f8EnIu5Oqbqyci5VcvXfF67ld= U9tVUzdmZn75eBXbly7XNy7cruVz31VTzLlw87NwpqnDzMjH6/HW8Fdmjnju547/ADvRRwaKNPV= bir+ar5c6tfM3YrmPaPh7vqu7MXaPwmdTzNQueDwcqzaxr9fHMURVbtzFX3TTHP1TLvnST0caH0= kU4eqWtUnHyLdrqWsnH6t23ctzPMcxz2988TE+fztWtAxLu491abp2XmXfCZ+Vax6r9czXVT1qo= p57Z7eOe76nvWJ0A3sSmacTfWfj0z5reP1f6rjx6yxb0tVExc9NcR+Dvp7tV6mqPRmmZd66Jdg2= 9g6fm4lvU69Q8bu03Jqqs+D6vEcccczy6Z0Sfv6359tX95DuWz9DwujXbOdd1jct/Ntzcm9cycu= vq9WIp4iimJmfRPd2zMtUtzbiydR3dq2t6ffycOM7KuXaYouTTV1JqmaYnifRw4aPT16uq7Hqzm= O/6uuou02Io9u3w7d8Jqf/ABZzf4ez/Yh77oWPg726GcLTreX1LWbpdvHruW+KptVxTETHHpiqO= 76mnWVkZGVem9k37t+5PfXcrmqr+eXLhZ2dhRPieZkY/Pf4K7VTz/NL69/hdVyxboirFVLwWtbF= FyqqY9qntej7PwuiXpT21k6rrlrLx87w9vw04/gqbNXU6tMz8qrvmqI57OHq/SVtHWt114VzRt4= 5uhU2KaorpsRM03eeOJnq1U9scT6e/wA3n09zc7NzerOZmZGTNHPV8Lcmvjn0cy5cfV9Wx7cWrG= p5tq3T3U0ZFVMR90S5XuF3rlVNya/5o/JujW26ImmKfafzbj9Ge1tX2thZljV9z5OvV37kV27l+= Kom3ERxxHWqqdB6If39b8/+qv8AvYa8TruueudR9qr/AFcFnUdQsZFzIs5+VbvXf/MuUXqoqq+2= YnmWKODXMV+quM1R+DVXEKc04p7PQvhMfvazv4ex/Yh5o5MnJyMq9N7Kv3b92Y4mu5XNVU/fLjf= a0tmbFmm3M5w+deucy5NX4iVeZUq8z0OaEhIIAKAJJADK1RNy5FEechX0YFrmrwtUdkdz7Uopim= mKYjiIZMTOXGZzKSiyiIAAMZ72TGe8WABpQABJVJAAAAZABUASVVCQkVioiJCVSxWe1GZagFRFy= EKiqEgggvCSNZABMJPeiygAJVJKsKu2eUZJLm2nCKAgcLTHM/UBTHHayU4dGEAFhJRZQR9ADo5A= A0SiygAAQJKpJCygCoAEkJPeE94EiKAk9yLPcgAAQJPcqSKytV127lNy3XVRXTMTTVTPExMeeJf= b/LOr+tc72iv9XwwMzRTV3giqY7ObMzMvLmmcrKv3+r3eFuTVx/O+dZRYpiOyzMz3SVjuSVjuaZ= AEEkJFgkAUEq8ypV5gQkJBABQBJIR+hhWupb69UfKq/oh8uJa8Ld7f2Y7ZfpMzLFU/CgMsJKLKA= AAMZ72TGe8WABpQABJVJAAAAZABUEmFFViSSSCMap8ysZ70lYQBGl8yLPciILxKMlViMphEVAAJ= RU4RYE4UBjPYwZ1T5mPDMtQgJwirwxXkMCM6Y4hKI5llMLTBKcqxOWmMrKEgpKcKCOYc3imX82u= fhk8Uy/m9z8Ms9Ra3R5OTc2y4RzeKZXze5+E8Uyvm9z8J1FrdHlrk3NsuGUc84mV82ufhTxPK+b= XPwnUWt0eU5NzbLhHN4nlfNrn4TxPK+bXPwnUWt0eVizc2y4Ulz+J5Xza5+FJw8v5td/CRqLW6P= K8m5tlwDn8Ty/m1z8MniWX82u/hleotbo8pybm1wDn8Ty/m138MnieX83u/hlOotbo8kWbm2Xzz= 3jmnCy/m138MnieX82u/hleotbo8nJubZcI5vE8v5td/DJ4nl/Nrv4ZOotbo8nJubXBPcjnnDy/= m138MniWX82u/gk6i1ujycm5tlwDn8Syvm138EniWX82u/gk6i1ujyRZubXAkvo8Syvm138EpOF= l/Nrv4JOotbo8rybm1wwOfxLK+bXfwSeJZXza7+CTqLW6PKcm5tl88o+icLL+bXfwSeJZfza7+C= TqLW6PK8m5tfNKx3ObxLL+a3fwSsYWX82u/gleptbo8pybm1wD6PEsv5td/BKeJZfza7+GU6m1u= jycm5tl88jnnCzPm178EniWZ81vfglY1NrdHlZs3NsuAc/iWX82vfhk8Sy/m178Er1FndHlOTc2= y4EnzPo8Sy/m178Ek4OZ82vfgk6izujycm5tl8w+jxHM+bXvwSTg5nza9+CTqLW6PJybm2XzD6P= Ecz5re/BKeI5nzW9+CTqLO6PK8m5tl869szxEczL9vTNobq1PG8Z07buqZdjrTT4S1jV1U8x3xz= EP0sLo+3rFc117U1mOO7nDr/RidXYj+uPJybmP+Mvxce1Fq3FPn88uV2H4i70+iuseyV/ovxE3p= 9FtY9kr/AEY6uxvjy5ci7tl10di+Iu9PotrHslf6HxE3p9FtY9kr/ROrsb48nIu7ZdclHY52JvT= 6Lax7JX+ifETen0V1j2Sv9Dq7G+PJyLu2XXR2L4ib0+iuseyV/ofETen0V1j2Sv8AQ6uxvjyci5= tl11j53ZfiJvT6K6z7JX+jH4h71+ius+yV/odXY3x5WLFzbLrg7H8RN6/RXWfZK/0PiJvX6K6z7= JX+jXV2N8eV5FzbLrg7H8RN6/RXWfZK/wBD4ib1+ius+yV/onV2N8eTkXNsuuI7J8RN6/RXWfZK= /wBE+Ie9forrPslf6L1djfHk5FzbLrg7H8Q96/RXWfY6/wBD4h71+ius+x1/onV2N8eTkXNsuuJ= y7J8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHk5FzbLrg7H8Q96/RXWfY6/0PiHvX6K6z7HX+h1dj= fHlORc2y64Ox/EPev0V1n2Ov8AQ+Ie9forrPslf6L1djfHk5FzbLrQ7J8Q96/RXWfY6/0Sdh71+= ius+yV/onV2N8eWuRc2y61PenDsnxD3r9FdY9kr/Q+Ie9forrHslf6HV2N8eTkXNsutTHZ2I7N8= Qt6fRXWPZK/0Sdh71+iuseyV/odVY3x5Xk3Nsut98I7J8Q96/RXWfZK/0T4hb1+ius+yV/odVY3= x5OTc2y64yh2H4hb1+ius+yV/ofEPev0V1j2Sv9DqrG+PJybm2XXkl2P4ib0+iuseyV/oTsTen0= V1j2Sv9DqrG+PJybm2XWx2P4h70+ius+yV/ofEPekf/lbWPZK/0Oqs748rybm2XXB2L4ib0+i2s= eyV/ofETen0V1j2Sv8AROqs748rFq5tl1ye9JniHZJ2JvT6K6x7JX+jjq2PvLnj4r6v7JX+h1Vn= dHleTc2y66OwfEfeP0Y1f2Sv9D4j7x+jGr+yV/ox1FrdHleTc2y6+xdi+JG8foxq/slf6J8R94/= RjV/ZK/0Ootbo8nKubXXk4dh+JG8foxq/slf6M6NibzqjrRtbV5j+Er/Q6i1ujycq5tl1+I4jgl= 2P4ib0+i2seyV/ok7E3p9FtY9kr/RrqbO6PJyrm2XW+xOHZPiJvX6K6x7JX+h8RN6fRXWPZK/0X= qbO6PKcm5tl1yCYdj+Im9PorrHslf6HxE3p9FtY9kr/AEOps7o8nJubZdbHY6tib0+iuseyV/on= xF3p9FdY9kr/AEOps7o8pybm2X6PAD8C/WgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD79= v6Vla5rWLpOHTzfybkUUzPdTHnqn6ojmZ+x8D3n4P20/ENKr3Hm25jJzKerjxPfTa/wBL7ap/oi= PSg9G25pGJoeiYulYVHVs49EUx6ap89U/XM8z979EiOBAAAAAAAAAAAAAAAAAAAAAAAAAcVc8yz= rniOzvcYJwjIBiLwgJMCgIkxyvADHjhO9mkwDHhGRwDDgZcJPcDivVdSjmO/wAz4/O5r1XXrmfN= HZDjmBWExDGaWcwA4+IThyTDGY4US3RNdcUx53300xTEUxHEQ48S31aetMdsudFYpLLhBEJXhBM= JwjJOBUlOIZSgNRAGkAAAAAADl+1tbFx9Qp1PT68eLmVcw6rmHVH7VNy3MVzEfbRFcfbw7PG29O= qysKIxaJtaPdm1rU01TPhOra8NVM+jmabtv/dp88g8+OXctH0zS8/B03WrmNTRj4l3I/lK1RMxE= 00R4W3H1daJ8H/ux5zWNP0rS8bUNWoxaLuPlZdidNtXJnjwVVMXq/t4iaKJ+2QdNHoVe2NPs39Q= sXMejjVbtVGi1TVPyafBeGpmPTz17VH31eh1nc2HaxKMLDx8Oqi9i4VurOucT23bny+30cRVRT9= sA/Dct+xXZtWrlVdqqLtPWpii7TVMRzMcVRE80z2d08T53bNcr0jQ8qNCo23j5seL26qsu7cuRe= u1V24q69E01dWKYmeyOrPZHa59O0HTM7L2xau0UWreRpt7JyO2qJvVW670xE9WJntiimPkxzx3R= yDo47nuCjbuVoGVkY06RayseqjwP8m2sziqJniabk3aer3czE8xPZL9CbG36922tq29vYtFrJot= 0VZc3Lk3qLldqKutT8rqxETPdxPPH1oPPHLTYrnFqyYrtdSmuKJpm5TFfMxM9lPPMx2d/HDsmLG= naNtfT9Tu6NjapkZ927FVWVNfg7NNuYp6sRRVHyp55mZn0cQ4rmLh5e2NSzsbTYxrs6pYt2bfXm= ubdFVFyepEz2zHMR39vZCjrZ//ALveh5ek6VXpuqadXjaFZzcDDru8Yd3IuZFuu3x1uvXMTant5= iY5757H5moXNK0W7i6RG2cbUPCY1m5cyrly5F6/NyiKubU01RTTETV1Y7J/Z7fOg/A1XSbun6jn= 4dV6xXOFX1a6puRTNfbx8mmZ5n7I5fnO77ixMa/rO9712x1rmNMVWZrj5VEzfopn7+JmHz6jc0r= RqsTSPi1j5/hcazcuZNdy7F69NyiKubUxPFMRNXEfJnu7QdVosV141zIiq1FFuaYmJuUxVPPPdT= M8zHZ2zEdjG7buWa+pdt126+Inq1RxPExzH88TEu5a1p+nadc3Jes6faqjT9VsUWbV6KpiKObnN= E8TzxPViJ7eezvfRr1yjWt5YuJRomk26LOLZyL1XhLlqmq3GNRXPhKpqniimO7jieI75lR0S1T4= S7TbieOtVFPP2vs3Bptej65naXcu03q8W/VamumniKppnjnh2jcmHpdzRcPVcG3pVF2jUIxq503= w8WqomnrcT4aP2o476eztfl9I1q7O+NfvRbrm1TqF2ma+rPViZqniOfT2T/Mg66cw7xqEaNo+uW= NufFrHz7dUWabmTcruRfvTcppnrUTTVFMR8rsjie6OUu4Gk7ewtduXtOx9WvYOrxh49V+qqKOrx= c5mqKZjn9mOznv+xR0gdy1W5pOheJafO3MTUJycW1k3ci7cuxXXN2mKuLXVqiKYp56sTxPbHa/I= 3zh42n7sz8PDsVY9i1XEUW6u+mOrE8T9YPxAAAAAAAIiapiKYmap7ojzg7P0Z7Xubq3RZwqomMO= 1/hcqvjuoif2ftqns/p8zaaxat2LVFq1RTRbopimimmOIpiO6Ih1Dom2rG19sW7d+iIz8ri7lT5= 4njso/3Y/pmXcmQAAAAAAAAAAAAAAAAAAAAAAAAJEq5nsBhM8zyizCAnHApwCBMAJMIyAYizCAg= pwCJwoDFxX6urTxHfLmmYiOZfLXM1VTIsOLhJhnwgrCYSYZzCcA42Vqjr1xHm86zD6LNHVo+ue2= RJZ+bgAQAFSYRkTAMeEZIIgvCA1CAaAAAAAAH06ZnZemahY1DBvTZybFcV264iJ4n7J7J+9z2Na= 1Wzb1C3azblNOpRxlxxE+Fjnrdv3893pmPPL88B9mJqediadmafj5E28bNiiMi31Ynr9Weae3jm= OJ57jN1PPzcHCwsrIm5j4VNVGPRMRHUiqeZjsjme30vjAfoX9b1a9Vp1VzNuVTptNNOHzEf4KIn= rRx6e30+iI7ohlk65q2RVqU3s2uqNTqivMjiIi7MVdaOeI7OJ9HH8z80B+zjbp3Bj4EYVnUq6bV= NE26Jmimblumf82muY61Mds9kTD469W1KqcGrxuumrAo6mLVRxTVajrTV2THE99Uzz39r4gH6us= bh1nVrMWc7M69qKuvNFFui3FVX+lVFMR1qvrnmXDTrGpU6zb1inJ4zrc0zRd6lPZNMRTT2ccd0R= 5nwAP09H1/V9Js12MHL6lmuetVauW6blHW7ut1a4mIn64jlx5WsanlWsi1k5ly9Tk36ci9NfE1V= 3KYmIq63fHEVT2cvgAfuZO7dw5Niuxe1GaqLlubd3i1RE3aZiYnrzFPNc8T31czHmYYO6NfwsGj= DxtRqptW4mLczbpqrtR6KK5iaqP92YfjAPvv6zqd+5n3LuT1q9Q48amaKf8ACcVRVHm7O2Ins4d= q0TOro0nEt0b6x8TGooiK7d7EqnJx/wDSptVRRVMR38cVU/ZHa6MA/Y1/XcjUNQ1auxVVbxNQy/= GJtVUxM9k1dTme/mIqnuSNya3FWDXTm9W5gUdTHri3RFVNPHV6s1cc1Rx2cVcxx2PyAH6up7h1j= UrUWszLiu1Tcpu026bVFFFFVPPE000xER+1PZHf5+XHn65q2dby7eVmVXKMzJjKv09WmIruxEx1= uIjs757uIfnAP2sPde4cTDpxMfUq6bdFPUt1TbpquW6fRRXMdamPqiYfmxnZcadc0+Lv/drl2m9= XRxHbXETETz391U9j5wHd9v51y3o+Nas73xcKxRH+Es5OJVVex557fAzFFX2xxVT2+h1zdmpWtY= 3JnalYpuU2b92arcXP2urxERz9fEdr8sAAAAAAAel9A2051fXp1vMtz4np9UTb5jsuXu+I/wB3v= +3h5/o+n5WrapjabhW5uZGRciiiIj0+efqjvmfREtr9paJjbd0HE0nEj5Fijiqvjia6v86qftlJ= H60RxACAAAAAAAAAAAAAAAAAAAAAAAABLGFn0AITCgjCYRmkwKxOFnsQEFJgESYUBOEZJwCJwqV= TERMyDhvzPHVj73C5J5meZ70mIkWGEpMMpiUFY8Jwz4SY8wFmjrV8z3Q+hLdPVpiPP52QyicLMA= MRknAIAAnCgqIyOAa3+TPfHqK5+db948me+PUVz8637zaAXKNX/Jnvj1Fc/Ot+8eTPfHqK5+db9= 5tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/ACZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPf= HqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me= +PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav8Akz3x6iufnW/ePJnvj1Fc/Ot+82= gDI1f8me+PUVz8637x5M98eorn51v3m0AZGr/kz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8AJnvj1= Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfH= qK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGR= q/wCTPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+= db948me9/UVz8637zaAMjyroT2Hl6FdydY1zGiznTzax7c1RVNFP8AnVdnZzPd9kT6XqpxHogQA= AAAAAAAAAAAAAAAAAAAAAAAAAEmFBEADIAGE4SYZAZYIzmEmBWKcMkBBU4AcN6fldWO5yV1cRy4= e8GKTDLhBWKTHLNOAYcSzs08zz6CI5nhzU08RxAJwKCMTheAGIpwDHhJZAMRZhAAAfoAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgpwJ7oEwAAAnD= GYZgMEZTDC52QK4655q+qGEwzlAYDKYSYBjMehGREczwC2qe3nj7HIccAInDIBiLwnAJwjIBicL= wgIKkwCcHCgPuAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAOAEwkwKSCAgo4qp608s657OHHwJhJSWRwKx4RlwnAMeGVuniOfSRHayAOABBU4AAB= JhGQDEXhASUZJMAnBwqA+0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAABJ445VjX2iYYTzyjJOBWPBwoDEmF4POBTCgCcIyAYi8IAnCgIKnAC= KAnCMkQQ4ZU0zVVEQ5vB0ehRmAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAABMseFnvBGMwkwzSYDLBJhnMJwKxWIAE4FAQJAE4UBOEZJwCC8I= BwigIkspgopmqrjzA5LNPEcz3y5OfqAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJVJAAAAEwJMKAxmE4ZpwKwFmAEOABOOBTgEAASYUBiMk= mARzW6eI+1x245q+qHNAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAgnHCn3ggqcCgAAAgnCgMOEZpMCsRZhACYAEFSYABlbjmeQZ0xxCg= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAJg4SVAQAXIAGAATCJMMgMsOEZ8JMCsRZQDjlyUxxHEJRHnZAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACJMCgIHC= CqAAAInCcdrIgFAFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAO04ARBUDIAKR2qQAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHHaAmAA= UAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAmU5fkbu3Hpe1= 9LjU9YvV2cTwlNublNE19WZ7uYjt4YbZ3PoW5sa5f0LU7ObTa4i5FHMVUc88cxMRMd09/oa5dfp= 9WPZiblMVenPu/a5OWq1vpe3roOu5+PGfb1DGt5VyKbWXR1uIiueyKo4q7vrbI7M1ivX9radrNe= PGPVmY9N2bcVdaKZnzc+d6dVobumiKqu0vNptbb1EzTT3h+z5uSJ5dO6Yd31bI2Hm63Zooryomm= zi0V/szdqniOfTERzPHn4eDbL0bpw6QdMr3HibvvYWLeuTFqq/m3LNN3iZiZoot0zEUxMTHdH1P= I9jarkeG5WD0j7J6MLtOq9IGlYesXdXpqt6hm3671qLE2uPBc3LVUxVNVMzx1fv8z07B3Fp+kbJ= 0nVNzbg06nwuHZm7m1XIotZFybcTNVHMRzFU8zEREdnmgHZB1XTekXY+pVZFOBuXAyJxsevJvRR= XM9S1RHNVc9ndEPmp6VejqqqKY3fpfMzx23Jj/kDuY+LK1fS8XSf5WydRxLWn+Di541Xdpi11Z7= qutzxxPMPwNN6SNi6nqFjTsDc+n5GXfri3atUVzM11T3RHYDtg8p6LN1alas7l1DeG/ND1jBwq7= c0V4nERiUzVXExc4tUds/Jj/O7pdlsdKXR5evUWqN36V1q54jrXurH889kA7iJTVTXTFVMxVTMc= xMd0qAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAADy/wCE5+7G5/F2v+bqXwR+7c3/AA3/ALrtvwnP3Y3P4u1/XLqXwRv2dzf8L/7= r7Vr7sq+v+HxLv3jT9Hie5P8AKHUv4u7/AG5be9EP7sdv/wADR/U1C3J/lFqX8Xd/ty296If3Zb= f/AIGj+p6uNfYW/wB/Dz8H+3ufv5dD+GBjX7/Rfi3bVM1UY+qWrl3jzUzbuUxP4qoj73Yvg46jg= 53RFotvEv267mLbqs37dNUTVbriursqjzc9/wBku5bm0TT9x6Fl6LqtiL2Hl25ouU88THniYnzT= E8TE+mHgWb8GOvxu7Vp28PB48zzRTew5muI9EzFcRP28R9kPzb9G7V8MCf8Awtxv9q2v7u68d6U= MvJzNf2Fpl/TsnVMTH29p82sC1VVE5M1URNUR1YmeZ4insjn5L1ijoLyqejC9s6rc1mq7c1enUI= yZxZ4iItdTqdXrffzz9z9je3Q1i7k0Lb1q1rN7Tta0TBs4lrOtW+YrptxHHNPWiY7YmYmKuznzi= vP9sY2NOi7xrp6KMzaVdvbGfNObeuZExXPUiPB/4SIjmYmZ9PyX42wdibY1b4PmvbozdPmvV8SM= mbORF2uJp6lFM09kTxPb9T1HQeineGLa1bH1jpFzNWxtQ0vJwabN6m5VTRVdo6sXOJrmJ47X6u0= +jK/oXRJquxatYt37mfF+IyosTTFHhKYj9nrdvHHpEa769m5eR0NbD0i7l3KMK/qGb4Tmrsjq3K= Ip/m8JXx9rZTbnQ/sHRM7C1LT9GqpzMOqm5avVZFyqrrR3VTHW45+516joP0/J6LsTZ+p6rNzKw= si7kY2fZs9WaJrntiaJmeae7mOY7o7YfPszoh3hoGv6Zm3ekjPzMDCvUVThzF2mi5RT/mcTcmIj= j6uAeadE2p6JpG0OkrL3Fg1ahp/hseivFprmnw1U3LvVp5ieYjrcdvoj7nXN3VafnbOu52n9EWZ= odiuKLlrVqb+RctUUzVEd9VPVmKu7v75h7hoHQZbxNu7o0XUtc8Yt65ctXbdyzj9SrHrt1VVUzx= NU9btqj0d0+l+Fe6BN23dH/kW50l5NemRTFEYlVi5NrqxMTEdXwnHETEcfYD0noAy8jN6H9u5GV= dqu3IxqrfWq7+rRcqopj7qaYj7ne3XOjPbde0Nkadty5l05dWFTXTN6mjqRX1q6qu7meP2uHYwA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAeX/Cc/djc/i7X9cupfBH/AGdzf8L/AO67b8Jz92Nz+Ltf1y6l8Ef9nc3/AA3/ALr7Vr= 7sq+v+HxL33lT9Hie5P8otS/i7v9uW3vRD+7Hb/wDA0f1NQtyf5Q6l/F3f7ctvOiGf/DHb38DR/= U9XGvsLf7+Hn4P9vc/fy7NnV1W8DIuUTxVTaqmJ9ExDVLYm6OnPe3js7d12rIjCqoi914x7fV6/= W6v7VMc/sy2r1P8AxZlf6mv+zLX34Fn/AJW7P9Zi/wBV5+bfo4fNsTpR37t3pKs7Q6RqvC05N2i= xVNy3RFdmqv8AYrpqojiqiZmOe/7uJeoba1nduT0raxpeoZej16FZornFtWL9qrJpmJp469EVda= I7Z74jzPFfhN128zp10jGwZivJoxsWzXFM9sXJvVzEfbxVT/PD7sXUcnSOnLpL1PDq6uTi6TmXb= VXHPFcRb4nj6pBsVnbk2/p+TVjZ+u6Xi3qe+3ey6KKo+2Jnl1rpG3RmfE69n7G1nQr+ZayLdFV2= 9mWvA0xPPMTVNUUxPojl4r0KdFW3977JzN0biy9QyM25lXojwd+Kf2YieapmJmapmZnnn0OmaHE= R8H/c9Md0a3iR/wCmoHs/TdvzXdv9F+3snA17Dxdx5FePVmU4tdq51qarNc11Ux2xNE1xHFUdnd= 2vS9qbq0jM2liajka7p1ybWJYqzbvjNHFquumP25ieKZmrmO3jta9dN+29Lt9C+yN1027n8qXMP= Awaq+vPV8F4tXXx1e7nmO93bL2z0d7G6FcnM1TEzq8PW8bCqy7Nq/M3L92ni5RTRM9lPbNUz9UT= 9gPXMfde2Mm/RYxtxaReu1zxTRRmW6qqp9ERE9rzLpX3duLSOmnZ+habqdzH03Pmz4zYiimYuda= 9NM8zMcx2dnZLwLeU7Mu7fjJ27s3cek3+vTVby8nIm5Zqp9Hd5+Y4mJ9DvWtZuVqO/uh/Nzb1V/= Iu4GFNy5VPNVc+GmOZnzzPpBtTAQAAAAAAAD8PfG4MbbW28rVL/wAqqinq2aP9O5P7Mf8AOfqiX= gHlU33zP/xqI+rxWz7gNmxrJ5VN9+u49ks+4eVTffruPZLPuLgbNjWTyqb79dx7JZ9w8qm+/Xce= yWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTf= fruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU336= 7j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTy= qb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm= +/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsa= yeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuH= lU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgb= NjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ= 9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfc= MDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruP= ZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2S= z7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79= dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/Xc= eyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNgIAAAAPL/hOfuxufxdr+uXSfgp52FiVbioys= zHsVXZxvBxduxTNXHheeOe/vh7zq+mafq2L4pqeFj5mP1oqm3eoiqnmO6eJfkVbE2ZMdu19In/A= ISj9Hvt6ymnTTYmO85y+dd0lVWpi9E9vhrruLok31d1LNzsTSrWXYu37lymbWVb5mmapmOyZh6F= 0e9It3auiYW3t57c1TR7WHbps282rHrm3VEeers7Pu5ek2NlbYxuZw9IsYcz3zi1VWZ/nomJc8b= dtW4mnG1LU7duqOKrdzInIoqj0cXet2fZw6XuIc+iKLsZiP0Ys6CbNc125xMvtsZeJrGj13tOy7= GTZv2qot3bdcVUzzHHfDWvTPg/9JGmzd/k3dmmYXhJia/F8zIt9bjnjnq0RzxzP873jE2dj6ZkX= M3Rb9Om5NUzM02LfVsXezs8Ja56sz/81PVn63Z8abk2om7TTTc4+VFM8xz9T51WM+z6VE1Y93h3= RZ0E39A3RZ3LurWLWpZuPc8LZs2Yqqo8J5q6q6+2qY74jiO2Inme5+3onRdnWeljc259Uv4ORpG= tY17H8Woqr8L1bnU5ir5MRHZTPdPnetJMcstNVq9nZ+1bmda2X0y6BjaZc5uV2bupRbrniJ7Jpp= 60TPHZzHHPofN0PbM1Pe/Q9uLR9Ov41i7d1excpu5E1RRPUo5qj5MTPPyo8z2SvoG6Na7lVyrRs= iaqp5n/AL7e7/xO97b0DSNt6Ta0nRMG1hYdrnq26OZ5nzzMz2zP1zMyK6HvXozydzdD2jbNuZ9j= H1DS7ONNF6Imq1VdtWptzE9kT1Ziqrt457ux1ux0R7y1Xo+z9r7t3VjZUW6sevSK7XWuU4824rp= mmrmmmZiYqpjvmY4+rt7rujU83P3nZ0rCuX7GNptrwmfNNVdEVTdpmLcxNMTz1erNXFUxEzMejs= 65rd/eutZ1i9GHrODHgZt0049FVvwXhOrz1p5+XVT16O2eI5t3PNPLtRYmr5eeq/jtDquq9EfTB= qm3adu5+9tIyNLt00UU49ddziIo46kcxa57OI879+50Sa/Xruws/wAf0zwe3MbHs5Udevm5Nu5N= UzR8ntjifPw7Bcyt5YOhYFjBwL1zxm1NNyK4u1XLHWimmOZqmaoqpmvv7qot1TERzD6NG1HdOu6= 1gWNS0vK0/CouU5VdUW6rfbFuKvBVVTPyoiq5THPEczbq7OJ7HJnGcrzo7YeiUqlKuLsAAAAJVP= CuidM27I25tmbGLd6uo5vNux1Z4qt0/wCdX90dkfXMegHlXTduyNwbknT8S51sDT5mimY7q7ndV= V/RxH2c+d5+faKACgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAADdABkAAAADgAODgAOCIiO4AAAAAfLXp2Bczac65hY9WVTTFNN6bUTXERPPEVd/D6er= T6FBMJ1Y9BFMQoKAAAAATPAOLMyLGLi3cnIuU27Vqia66qp7KaYjmZaqdIG5L26dzZGp1zVFjnq= Y1uf8AMtx3R9s98/XL0/4Qe6/A41G18K5/hL0RczJj/No76aPv75+qI9LxBYABQAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABugAyAAAAAAAAAAAAA= AAAAAAAAADG5+yANXemD94+sf62n+xS6mCgAoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//9k=3D" width=3D"793" height=3D"1121" alt= =3D"" style=3D"margin-left:-1pt; position:absolute" /><img src=3D"data= :image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEB= AQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQH/wAARCAAbAE0DASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAABwUGCAkKAgT/xAApE= AABBAMAAQQCAgIDAAAAAAAFAwQGBwECCAkREhMUABUKFiEiGCUy/8QAFwEAAwEAAAAAAAAAAAAA= AAAAAAECA//EACkRAQACAAYBAwMFAQAAAAAAAAECEQASITFBUQNxkfATImEygaHB8dH/2gAMAwE= AAhEDEQA/ALAbx6gFUHCruua3rKsFMMDvK/BjZu2mcwdmDZDW+LBBRGGRYS3M6bOyDrRuPBR8Mx= TTQatUEUk9Go5nvujzW3N/m+6DizK0o6FqbmeLnGqRiK1tedm26ftJ0HdJ4cMNZg3jZduPhxR03= 3S3cDFMvXg7ffZF4gi4TUQ1DjUFHp95X/HtX1jtGj+vMdg+QCyRAYpjTcPIbgrE/dUprRB6grn4= FnkcMMk5QE13122/asENE9d9lM6ZcD3yLdzI0R2hNAl83CT7Urt/ZDeV8go8yOCkS5trYN0fXsL= 2s8JJW8FS+6+iVIF5XN443LyCQNp+mOeGmjF21EKI75QhG5S1Va1V6/c29TGEPGOaaqynLmVVZ0= n5DeivTHcTv/oqsb6R5H7biswo6/zAR/JqzMArSmcgqO9I6I2/7l9WUpWKtt1ioVPbRcvGSCSRh= mh7190fj11yoSWJnproe4bApHmWTvI8ypSLBZX0HfVjy+ekINWmZQyfFYrBQQNjJWDmY2KcCMFp= AuLw/Yj4+Eci3pV3osWHN1mF5GZrA7Y8aNMXvGulpv1VN6i8idFo863tPapzVUrLE5OeZx2YQmO= qpxeHpS6OrRAhJ3hMoNE5HkHUc0YPfsPY5ndB78/T6q4QO8jXAnQBpKuMd1OJVcHPFklXbIKIs0= zJaNhVYyylxUkKbIimtiRArWwwuCjT9ym5PBZfs5EJqrNXSP4EIxnu/cLlWyzLw+51V+k/SieWm= 0lBlWaVWINFrrduv8XgftJJ1jV1HVv1jM7KK3NyzOZElFJjJGidg1PbVEE3koViI0xY0FdziRMl= Yo8K/RWXfJP2bwWFLhzLhtuye/Lp4Zl0nI5b0Xjk+sOi67qGaBq2dW9Zln37c8hDRWBwJogs9xk= PH1pgJfTGSKjGrs45HNXrVsGjzfcyTX0bKoZ3APKsIiPEfgmeePSS5Jp9w972bcZUnz2SeiSk4r= lmYsJhVyNlyEKIcO14pXounKlhk+SOG9m6T82a2RGLrOHCLNKQEAhXKzqy+v8AmbsOrqIlqnW4q= t57yjL+icaAa4K27X1QDKoJVgpZSOiJuEyfdyAFycQmDKMCxYWXL6CcPXbdZv8AhljnC6qN5RDk= D8/7d4bCB5IRuhtY5mmq4sdSzfbCGPuO44dSy/W4XqSOdh8fxmfK17c9h1i9sWBz2jHO0n/q7Sd= yOJuZiabG63cOXIo8qTaKtSDWEGB0ty2WH7OstyXOLWuKVTKa11T1hsYKIp6t07h6S6LuGxZ3pU= 9BVw51eKBnBFgOkCL+Uy6TpCyboJH2jlsjoOYOHzt1jZRk2dxFuvPcPOXJ9wcqZ6Fqo4968aTzm= ioPHdI5Nv0TYcBqGVR4hUhu3x12JZZy6PxCFi/t2XGSVgJEhI6JtI4D2cInd8M2xUBs4PXAHsnj= W3Fa70U7RgNGlucZbeshMwqoLJtujGIRq7o2cT8SQFbxM0fzFhRuItXxRFscWIk09ESe7RYU/pi= ZxXcdO6y+9b/5gfH4zyRjdXGX25nVMtCK8Mni67MeOM9GWI3gkxvSuevYx2vR1Rrx9XohjBGVzU= zdlHxOULKIjLWVgM2O4cS2tNMprOnZVog2zqIbuSLN07+i7R10HeLWVGpMn0u1eSo/IwY6wK9fR= z9wfJyBJk2PVXHXbvIpwYdPlWrIhugi+2bNlE2m7lRd5hHDh04VVoL6GmthjrX6E6Cv2CVXTF59= F8AN/HFzHxTVNsxa47Cswkdlw6SnbqmOYcq5YgK6r9qL1RZHjCnwiophdu9eNyWGg97dz4co+tE= 490FFnK/2nEbNUkBXc+u2cOFxFKxwestrnbGNs6qqN9t9c5xjOdc49cev4yo+SKB+mWxVbb12aG= nBi4wgebxxrRjNYqpplRpdxd8YfLn8j7Cddx9D8v29KRnOz6hO4b8kfLPUcc0dfs6pt6HdDT4jG= y01TWV2bLRQ5ursHkGc4SHJs1vcV1wOwuu31HVX51OrYRChQK+vHVP7qm2g9m3Y2/ypOIJKams7= OqOmjWTN9Cb5uTiTQtrjV2okRw4bMsLb6Jb7I667Zx8d28w0aZ7f7IMEoP8AYIleqehCRBxiSy9= D7D19bcudOl/hbn0kEsquFVFPjRSTS093tT000xrrgZxSFMYAJ3AweR2dEAm+m+mREbuO2gw3Gu= +ce/2MR81QbJ529c+uyaeu2fXP+fxhW2h13t3eKp3jVNNN6e3Zv+e8XG+VDyg2VLJXAL769GQyt= lqaIPpVyF4+4zLh01Oa2a7HOBjG8egzwPfA9vvFxzp6lHGDVPVBsu9dNhqi7h0R11hBzj5KeufJ= O9sWn1Kh5OKB4dCmE7NCrXjsvPAiiT2ewyuhDFiPFi5KvkqtI5yFxo6UZoIMmmrt2q8SwjjXeAZ= fmelz5B0XOxUiaKvVdlnhMtN58RIO1tv/AEq5ePJQs4XU29Meu6qm22fT/Ofwl0/AYzRBY6cqJE= vBS0kCpRw29ESmU7KkAyRoVI27RXD0y7T02ZyAAENMXSOiTxgUFMXzNwg5bpqajEUUFNn5898GS= K5pBKXb1pxtxg82F3r0B4843AZZG6E4fizS/GDyRQzepB7/AAamMIDNxjF9MCmG6LMkOBDZ3tKa= q3YSDdkUTsOs7FD6CsJRvd85enP3ks7b8kGLCqePUFyzPUYtHBUmMwuxGBR63PjnskGR5XUGLea= kUipQQkRWPOWaOmj79KLKOGOrhyho2VhXMaSrifN4k0mYkxJW8Fj5CLRBMtNJu6wAjxWay6xiQp= htvI/fo1fTmeTGUOdd9t91S8iJudt85X9NV2rawiNMF8yKqdJJADuXgF/+3jE6nQx/h5GTjORgX= GrlCSYV1UFnB7Mk1zrtj2uW+mdsba+7XM5IXeUvv56YX0vHd5I2c1rx/wAMSGsLvK7PHu2RUjlJ= 8PRGeHcif7fC6wikxHTAGIkYnSSwwgfOLR8WDKDpJHV2RtmzDyQquLSetUCrNg9wogi4OffK71p= 5AJHKqKWqrlR8xRhD+Yv4/ZwaSn2EqQHHY6CRj0aiTBnITEvlaz6SsyDYIEDviqQQaeON0FEwy+= uY6WHG2VsRYDCbHISqYxWNkHhIMGNTeZuG7R883Wyo4331P6OHe6WrhdFlh6s51GtllGo/Vq23y= llCqisIZSZ97J6sYk4abJiVQBJ4NlEqW1IB1iA0v9B60fmnjJ0igYDhzLLK7ZTdgZECy7HduRHM= 3KLyR00NNTDfHBczEs0Hn5pg6T7ubp3x5x+qLAZ8gcm1mn0FGjhYUQhMLNBjaGI0WQYkYrJ13TM= WSYlUGD2OSNQFsptq2ESEGq8SbPt1WrfXr/Fu67nvbvPHWd12GHj8dkX/ACIARHZhGk3Wo3LIDU= kNWar41drKrYXUySVwr/v7c4109uMemfXFvacXZ3SNbjLaMTexB7A44kg9nLbGsA0gNNvhYwG+I= DU3kmUwOVfCw4tq+0ZfAi8+g2WcpKuEtVfzZ5/FUraF1lyF0YLhAbIRiR6Ry/eIYJFiXzO8VjBm= +FflLP36yfoiknp8aSmiX+vu9nvzttkyR3ovDIRi5gpqr5r+sf/Z" width=3D"77" height= =3D"27" alt=3D"" style=3D"margin-left:441.05pt; position:absolute" /></span= ><svg font-family=3D"Times New Roman" font-size=3D"16" height=3D"41.3= 3" version=3D"1.1" width=3D"209.31" xmlns=3D"http://www.w3.org/2000/svg" st= yle=3D"width:209.31px; height:41.33px; font-family:'Times New Roman'; font-= size:16px" xmlns:xlink=3D"http://www.w3.org/1999/xlink"><defs /><g><g><path= d=3D"M0,0 L209,0 L209,0 L209,41 L209,41 L0,41 Z" fill=3D"#7c7c7c" fill-rul= e=3D"evenodd" /></g></g></svg><a href=3D"http= ://www.anatomiadigital.org/" style=3D"text-decoration:none">www.anatomiadigital.org</= a>ISS= N: 2697-3391Vol. 8 No. 2.1,</span= > </s= pan>pp. 19 =E2=80=93 33, ab= ril - <spa= n class=3D"awspan" style=3D"color:#ffffff">mayo 2025 Revista en ciencias m=C3=A9dicas, salud p= =C3=BAblica Art=C3=ADculo de revisi=C3=B3n bibliogr=C3=A1fica.<p= class=3D"awdiv">ac=C3=BAsticas po= r <sp= an class=3D"awspan">productos de distor= si=C3=B3n </= span>(DpOAE) en los = 380 pacientes du= rante </span= >la evaluaci=C3=B3n inicial,</span= > encontr=C3=A1ndose resultados normales </s= pan>en 369 pacient= es <sp= an class=3D"awspan">(97%) para el<= span class=3D"awspan" style=3D"letter-spacing:0.45pt"> o=C3=ADdo derecho y en= 362 pacientes (95,2%)<= span class=3D"awspan" style=3D"letter-spacing:0.25pt"> para el o=C3=ADdo<span= class=3D"awspan" style=3D"letter-spacing:0.25pt"> izquierdo. Se remiti=C3=B3<s= pan class=3D"awspan" style=3D"letter-spacing:0.25pt"> a </= span>11 pacientes = (2,8%) </span= >con alteraciones en el = o=C3=ADdo derecho = y <spa= n class=3D"awspan">a 18 pacientes<= span class=3D"awspan" style=3D"letter-spacing:2.15pt"> (4,7%) con alteraciones</spa= n> en el o=C3=ADdo izquierdo. (= 1).Clifford<spa= n class=3D"awspan" style=3D"letter-spacing:-0.45pt"> y </= span>Ryan (16), en <s= pan class=3D"awspan">su art=C3=ADculo de <= span class=3D"awspan">investigaci=C3=B3n realizado= en el a=C3=B1o 2022, = recopilaron varios datos</sp= an> de una muestra de </spa= n>758.005 veteranos pertenecientes al Programa Million Veteran durante los<s= pan class=3D"awspan" style=3D"letter-spacing:1.35pt"> a=C3=B1os 2011 =E2=80=93<= span class=3D"awspan" style=3D"letter-spacing:1.35pt"> 2020; los datos<span= class=3D"awspan" style=3D"letter-spacing:1.35pt"> fueron = estratificados en:<sp= an class=3D"awspan" style=3D"letter-spacing:1.35pt"> registros de salud, cuestionarios,= audiogramas y datos= militares; posteriormente, se</= span> calcularon los riesgos relat= ivos <s= pan class=3D"awspan">acordes al sexo,</span= > p=C3=A9rdida auditiva y<= span class=3D"awspan" style=3D"letter-spacing:0.9pt"> exposiciones militares, entre</spa= n> ellas: combate, explosi=C3=B3n y </span= >era militar; a<= /span> <span= class=3D"awspan">continuaci=C3=B3n, se compararon = los datos del = audiograma, el cual, fue </span= >estratificado acorde al </span= >sexo para aquello= s <spa= n class=3D"awspan">pacientes con y= sin presencia de tinnitus;</s= pan> finalmente, se evalu=C3=B3</s= pan> un modelo de riesgos </spa= n>para determinar e= l <span= class=3D"awspan">lapso de tiempo entre la = aparici=C3=B3n del tinnitus y la hipoacusia. (16).El tinnitus = estuvo </span= >presente en el</s= pan> 37,5% de la muestra, <= /span>con una edad= <span= class=3D"awspan">media de aparici=C3=B3n= de <s= pan class=3D"awspan">61,5; las mujeres</s= pan> (0,64 a 0,65)<span= class=3D"awspan" style=3D"letter-spacing:0.95pt"> y, </sp= an>aquellos veteranos de </span= >ascendencia africana ten=C3=ADan menos probabilidades de= <spa= n class=3D"awspan">manifestar tinnitus = (0,60 = a 0,61). Por</sp= an> otro lado, el<span= class=3D"awspan" style=3D"letter-spacing:-0.5pt"> riesgo = relativo m=C3=A1s alto</span= > fue la lesi=C3=B3n<s= pan class=3D"awspan" style=3D"letter-spacing:-0.15pt"> cerebral traum=C3=A1tica (1= ,71 <s= pan class=3D"awspan">a 1,73), seguida</sp= an> de la exposici=C3=B3n</span= > diaria al ruido en<spa= n class=3D"awspan" style=3D"letter-spacing:1.35pt"> el </s= pan>campo de batal= la <sp= an class=3D"awspan">(1,14 a 1,17).= La tasa de = p=C3=A9rdida = auditiva posterior<= span class=3D"awspan" style=3D"letter-spacing:1.35pt"> a= un cuadro de tinnitus <= /span>fue cercana = al <sp= an class=3D"awspan">100%, sin embargo,</s= pan> solo el 50% de </span= >las personas que = tuvieron </spa= n>una p=C3=A9rdida a= uditiva </span= >inicial ten=C3=ADan riesgo </span= >de sufrir un= cuadro de sordera m=C3=A1s adelante. (16).El </span= >art=C3=ADculo original publicado = por Kumar e= t <span= class=3D"awspan">al. (17) comenz=C3=B3</sp= an> con 83 pacientes, pero termino con 79 p= or <spa= n class=3D"awspan">criterios de inclusi=C3= =B3n <s= pan class=3D"awspan">y exclusi=C3=B3n, los<= /span> pacientes eran j=C3=B3venes= , revelando </= span>la prevalencia de <s= pan class=3D"awspan">fracturas del hueso</= span> temporal en este<span= class=3D"awspan" style=3D"letter-spacing:0.1pt"> rango </s= pan>de edad. De</sp= an> estos pacientes 55 recibiero= n <spa= n class=3D"awspan">tratamiento conservador, lo = que indica la</spa= n> preferencia de manejo no</sp= an> quir=C3=BArgicos. Se realiz=C3= =B3 <sp= an class=3D"awspan">una valoraci=C3=B3n c= on <spa= n class=3D"awspan">audiometr=C3=ADa con u= na <spa= n class=3D"awspan">media de 32,5<sp= an class=3D"awspan" style=3D"letter-spacing:0.2pt"> a=C3=B1os y una mediana<sp= an class=3D"awspan" style=3D"letter-spacing:-0.15pt"> de <= /span>31 a=C3=B1os. Hubo </spa= n>asociaci=C3=B3n entre<span= class=3D"awspan" style=3D"letter-spacing:-0.15pt"> la </= span>fuente del trauma </spa= n>y el tipo</span= > de fractura, en los<sp= an class=3D"awspan" style=3D"letter-spacing:1.05pt"> accidentes de tr=C3=A1nsito</sp= an> (ATR) existi=C3=B3 un</span= > aumento de fracturas<= span class=3D"awspan" style=3D"letter-spacing:1.05pt"> longitudinales (63 casos, p</= span> < 0,001). Las<s= pan class=3D"awspan" style=3D"letter-spacing:-0.1pt"> ca=C3=ADdas ocasionaron fractura= s <spa= n class=3D"awspan">longitudinales y mixt= as, <s= pan class=3D"awspan">mientras que las agresiones presenta= ron incidencias variadas. (17).Los = resultados audiom=C3=A9trico= s <sp= an class=3D"awspan">seg=C3=BAn el tipo</= span> de fractura se<= span class=3D"awspan" style=3D"letter-spacing:-0.45pt"> van a correlacionar,<= span class=3D"awspan" style=3D"letter-spacing:-0.4pt"> de tal forma que<spa= n class=3D"awspan" style=3D"letter-spacing:2.85pt"> aquellos pacientes con<span= class=3D"awspan" style=3D"letter-spacing:2.85pt"> fracturas transversales presentaron= <span= class=3D"awspan">p=C3=A9rdida auditiva = m=C3=A1s grave, y aproximadamente<sp= an class=3D"awspan" style=3D"letter-spacing:0.5pt"> la </sp= an>mitad tuvo p=C3= =A9rdida </spa= n>auditiva grave. E= n <span= class=3D"awspan">el caso de fracturas longitudinales se observ=C3=B3<= /span> un deterioro moderado</span= > de= la audici=C3=B3n.<spa= n class=3D"awspan" style=3D"letter-spacing:2.5pt"> Los </sp= an>resultados del tratamiento= para la p=C3=A9rdida auditiva= conductiva <= /span>se centraron en un aumento s= ustancial en el umbral auditivo<sp= an class=3D"awspan" style=3D"letter-spacing:0.2pt"> medio <= /span>y la brecha</s= pan> entre la conducci=C3=B3n</s= pan> =C3=B3sea y a=C3=A9rea.</span= > De= tal forma q= ue el <= span class=3D"awspan">umbral auditivo prom= edio <s= pan class=3D"awspan">disminuy=C3=B3 de 50<= /span> dB (SD =C2=B1<spa= n class=3D"awspan" style=3D"letter-spacing:1.2pt"> 15) </s= pan>a 25 dB<= span class=3D"awspan" style=3D"letter-spacing:1.1pt"> (SD = =C2=B1 10), y <sp= an class=3D"awspan" style=3D"letter-spacing:-0.25pt">laEsta revista est=C3=A1 protegida bajo<spa= n class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spacin= g:-0.2pt"> una licencia Creative= Commons en <sp= an class=3D"awspan" style=3D"font-size:8pt; font-style:italic">la<sp= an class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spaci= ng:-0.2pt"> 4.0 International. Copia de la licencia:<s= pan class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spac= ing:2pt"> <a href=3D"http://creativecommons.org/licenses/by-nc-sa/4.= 0/" style=3D"text-decoration:none"></a><a href=3D"http://creativecommons.org/licenses/by-nc-sa/4.0/" st= yle=3D"text-decoration:none">http://cr= eativecommons.org/licenses/by-nc-sa/4.0/</a>D <= /span>i a<= /span> g n =C3=B3 s </sp= an>t i</span= > c o&#x= a0; M =C3=A9 d i </spa= n>c oP </s= pan>=C3=A1 g= i n a 26 | </span= >33<img src=3D= "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAUDBAQEAwUEBAQFBQU= GBwwIBwcHBw8LCwkMEQ8SEhEPERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQ= UFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eH= h4eHh4eHh7/wAARCARhAxkDASIAAhEBAxEB/8QAHAABAQACAwEBAAAAAAAAAAAAAAECCAMGBwQF= /8QAWBABAAEDAwAECAsDBgsGAwkAAAECAwQFBhEHEiExExQXQVFVlNIIFiJUVmFxgZKT0TI3dBW= RobGysyM1NkJSc3WChMHTGCQnM6LDJWJyJkNFRmOjwuHw/8QAGwEBAQEBAQEBAQAAAAAAAAAAAA= ECAwQFBgf/xAA1EQEAAQMCBQMBBgUEAwAAAAAAAQIDEQRSBRMUMZESIUFxMzVRYYHwFSJCodEGI= zKxNMHh/9oADAMBAAIRAxEAPwDpoD+lPxQANEosoAAECSqSLKAKgAkkJPeE94pIACT3Is9yAABA= kqkiysBAIkosoKkrHckrHcqACCSEiwACglXmVKvMCEhIIAKAJJAAQsJKLKKSACD9HDteCt8z+1V= 2y+XCtde51qo+TT/W/RYmWK5+BjPeyYz3sswANKAAJKpIAAADIAKgAqsZCQPgAlCEqnsYkiNQko= soKMZ7e1ap8zGGKpy1TAksuWNTDeQFpjsIgmQWYRqUhJ7wnvAAASUVBRJUnu5QYVT5mE9yzPM8p= Pc5z7ukIkwqpgliLKfZ2osLTT1qo9Dk+5KY6sfWy5daacQ5VVe76AHocAAaJRZQAAIElUkhZQBU= B9uBpebm4OdnY9masbAt03Mi5PZFMVVRTTH2zM931T6Hb+jros17fGi3tV0vO02xZs5E4805Fdc= VTVFNNUzHVpmOPlR/S897VWrNM1VziOzrbs13JxTDoU96PY5+DxvD1tof5t3/AKZ/2eN3+ttD/N= u/9N5f4tpN7t0N/a8cOXreV8H/AHxZpmbWTo2R6KaMiuJn8VEQ6JuzZe59rXONc0jIxrfPEXojr= 2pnzcV08xz9XPLva12nvTiiuJlzr0123GaqXX57kWe5HrcAAIElUkVYAESUWU5gWElY7klY7lQA= QSQkWAAUEq8ypV5gQkJBABQBJIACFhJRZRSRaYmqqKYjmZ7kfZgWv/vao+qlJnDMziH02aIt24p= jzd7MHNyGM97JjPeLAA0oAAkqkgAAAMgAqACqxkJA+BJWUSSElJhkiNMZRlLCe/hJnCwkx28oyY= zDm3EiSqSKR3s0pjiFVBOFFGEwMp704BAQCUVEX4GFc89jKZ4hxpVKwhCjnhtAEBaKeZ59COWmO= IappzOSZSUZVMeJdXPD6QHVxABolFlAAAgSVSSFlHPp2HlajqGPgYVmq/k5FyLdq3T31VTPEQ4G= xXwZ9gzh4kby1SzHh8imY0+irvotz2Tc+qau6Pq+15Nfq6dLamue/wAO+msTfuRTD6N57OxdlfB= 71LTbc03MqvwNzLvRH/mXJuUc9v8Aox3R/wD3L7fgm/u6zv8Aa1z+6tP3/hDTHkk1iP8AVf3tL8= D4Jv7us7/a1z+6tPy1Vyq5oaqqu81f+n26aIo1VNMfg9T1vVcDRdMvanqeTTjYlmIm5dqiZinmY= iO765h1WOljo9nj/wC02L+Cv3XF0/8A7pNc/wBXb/vaGnTpwzhlGstzVVMxiWdbra7FcU0w3m0D= dm29fqmjR9bwc2umOardq9E1xHpmnv4+5+nnYuNnYl3GzLFvIx7tM03LdymKqao9ExPe0MxMnIw= 8q3lYl65Yv2qoqt3LdXVqpmO6Yluf0S7hvbo6P9L1fJqpqyq7c28iYjjm5RVNMzx5ueOfvcuI8M= nR4rpnMNaTWRqM01R7tcOnfYNGy9ft39Opq/kjP5qsRM8zarj9qiZ9HbEx9U/VMvN23PwktMtZ/= RVnXqrcVXMK7ayLc+emetFM/wDpqlqfpUzTqeLNNm1fmL1HFu9zNFfyo7KuO3ifPw/QcJ1VV/TZ= q7x7Pl66zFu9iO0vedP6O8Kvoyo29XoVVWu5GlVanGp+Kz1aLvXiqjH8Jx2VdXsmOfNM+d0jb3R= xo2dtjb+rapum9p97XMivGxrNOnzdiLkXJoiJqiuO/iPNHe9Kubc6b691U6/Tq2k0RExP8n05t6= MTiKerx4P0T39/f2vl1HY3ShmWtIteKbUsW9J1CvPxrdm7dinwlVybk0zz/m8zMREcdnnfJt6qu= jMc2Pec9/r7f9PbVYpn+ifb2dH0Dojrz8/VsHLz9Qt3NPz6sTwuPp/hbVcRETFXWmunie3mae3j= sfp6T0c7Z0zTd9YW48+u5l6NNiLeXasVT4CiunrU3IoiviqaueJpnu6vf2ubeWsdJG0IzLm5Ns6= Jm6fnZ3jkVXLNV6xavcRT8maa4mn7Kvr4878nae6N+7n3BuTU9I21pesRqduxTqWHctc2OKKerb= mIqrie6mrzz5/q49M16u7RNfrj0+3aY/JyxZomKfT7vjwejrQ6NO0S/rW6b2De1+5VTptu3gzcj= q9aIoruT1o463NPZ5ut9U8fTp3RRh0xkU63uSvBu29bjR7UWcKbsXblUUzRVz1o4iet9z5r2+Nz= 7UvWdC1vbeiXcrSrs3cOnMx+vXhTX8uIommrjiOYmO/js9Ecfi0dIm4PFqbV+nEya41mjWartyi= etXfpiOIniYjqdndERPomHoijX1xmmr2+sf2/RxmrTU94di3H0V4Gn2cy5p25pz69O1CxhZ1m5g= zamibtVMRMT1pir9qP1fqal0c0a/u/WsOa68K1pVy3i0fyZpEeBqiaIq5nm5z1uZ7eZqn6+50zL= 6SNcyKtXm5i6fH8rZtnMv8AFuv5NdqYmmKfldkT1Y555+52La28d87o1DW7OnbY0fXIzr1Gbk4l= 6zM27VcUxRFVPNcT3RHfM/c5XLeuop9VVXb5zHzhuivTVTiI7uldI21ruzt15GhXcujL8FTRXRe= po6nWpqjmPk8zxP3y69Hc7V0sZu4s/eV+/ujTLGnal4K3TVYsxxTTTFPyZ/aq831v1dS6JN1afs= +rdF+5p04NONTkzFN6qa+pVETHZ1e/tjzvqWtTTRao51UZn+7x12Zqrq9Ee0OgAPY86SEuy9H+y= dY3vn5OFo1eLTdx7UXa/D3Jpjjnjs4iWLl2i1TNVc4iG6KKq5imnu60P2d6ba1HaWv3dF1WbE5N= qimqqbNc1U8VRzHbMR6X4zVFdNymKqZzEs1UzTOJEq8ypV5m0QkJBABQBJIACFhJRZRRnZom7ci= iPv8AsfqUxFNMUx2RHY4cK14O11pj5VTnYqlyqnMgDLIxnvZMZ7xYAGlAAElUkAAABkAFQAVWMh= JIfCSIqSsAIglUsOGVU9qcszLpEIKkwipwcKSQSACZABUnvRZ70CA4AVEmGTGqeIQYVT2sPOySY= YlqEARUAjtngwZZW457XIkRxHBzx3ukRhMkosoqPoAdXAAGiUWUAACBJV9eiaXm61q+LpWnWpu5= WTci3bpj0z559ER2zM+aIZqqimJqntDURMziHcOhLYte9N00+M0VRpOFMXMuru6/+jbifTV/VE/= U2+tWrdm1TatUxRboiKaaaY4imI7oh1/o72rh7P2xjaNh/Kmj5d+757tyf2qv+UeiIiHYrlNU0T= FM8Tx2TL8NxHWzqr2fiOz9NpNPFi3j5+XgXwot60xTRsvAuc1VdW9n1R5o76Lf/wDKf93637/wT= v3dZ/8Ata5/dWnUel3oks6Lt/Vt3X9w5efmeEi7cpuWaaYrqrriJ7Yns/adu+Cb+7rP/wBrXP7q= 09t+bP8ADoi1Off3+rzWuZ1ea/wdl6f/AN0euf8A0W/72hpy3F6f/wB0muR/8lv+9oadPof6f+x= q+rycV+0j6Daj4LMV+TOvr89X+ULvU+zq0f8APlq/p+Hl6jm2sLAx7uTk3qurbtW6Zqqqn7Ibo9= Fm3Lm1th6Zo1+KPGLVua780zzHhKqpqq7fPxM8c/Ucfu08mKPnJwqieZNXw+bpr6kdFm4ev3eKT= x9vMcf08NN9I/xrh/6+j+1Da34Smq2sDoszMeqvi7nXbdi3T56vlRXP9FMtUtI/xrh/6+j+1DHA= 6ZjTVz++zXEpib9MN1OkvW8vbexdT1vAptV5OLaiq3F2JmiZmqI7YiY9PpeCYPwhN228u3Xmabp= F/HiqPCUUW66Kpjz8VdaeJ+viXtHTt+6XX4//AEKf7dLTXlw4No7OotVTcpz7uuv1Fy1ciKJbx4= 1ek732Xbu1Wqb+nariczRVxPEVR2xPoqpn+aYeC9COl720ncm6tJ2xe0SL+Feox8urUKbkxV1a7= kUzR1Psq7/qeudAGNkYnRHodvJoqorqouXaaZ/0a7tdVM/fExP3ut9C1dFzpV6SKqOOPHqI++K7= 0T/S8NqqbVF63T7xH+Xprp9dVuqe/wD8eI9MFjX73SZnY+s04l/V7k2aaqcCmubdUzbp6sUxV28= 8cfe7BonQPvjUcSnIvzpunTV3Wsm9V1+PTMUU1RH8/L0fRNLx874UOu5d+iK5wMK3dtRPmrm3bp= if5pqfJ8InpF3HtjXMLRNAyacPrY0ZF69FumqqrmqqIpjrRMRHyZ83n/n+nTrtRXy9PYxE4h4p0= 1qn1XbucZdSn4PG8PWuh/m3f+mw6GdG3noe/twaNt6/ok5+Ha8Fk15nhJtVRFcfsdWOe/08PSfg= 37p17dOjatf13UK825YyKKLc1UU09WJp54+TEPzeiT9/e/Ptq/vIcLur1E03bV6Yn0x+H5w60WL= UTRXbzGXQt3bN3fvbpfztH1HK0W3q9vBoyLldqblNiaIiiIiOYmrn5Uebh7zuHbObqPRZc2pZvY= 9OZVp1vFi5XM+D61NNMTPMRzx2eh4T066/rG3OmnUM/RM65hZNWHZtTXRETM0zTTMx2x6Yj+Z7V= urV9SxOhS5rePmXLeoxpVq9F+IiauvNNMzV6O+ZcdVzposTGMe2Pq3Y9EVXInv8tcd49GGubW1n= RtLz83Trt7V73gbFVmuuaaautTTzVzTHZzVHdy7THweN4T/+LaH+bd/6bote4t57x3BpVq5n5Oo= 6nZvx4hHVp5ormYnmOIjz0xPb2dj3HE2f0212KK8jf+HYuT30RHW6v1c+DfT1Wo1Onppiq5TE/P= 7w8di1ZuzMxRMw803J0Gb20fTq8614hqdNuOa7eJdqm5EeeYiqmOfsjmfqfvfBE/ys1r+Bp/tw9= v6PdO3XpmlXsXdusY2rZHhetZvWqJpmKOI+TV2R5+f53mvQvYtY3TnvqxZoii3TVc4pjujm7y8F= XELmo0923cmJx8x9XqjS0WrtFdPtl5v8Jj97Wd/D2P7EPNHpfwmP3s538PY/sQ80foeG/wDi2/o= +Vq/tqvqJV5lSrzPc86EhIIAKAJJAAQsJLmwrPhLvWq/Zp73DxM1RER2y/Ux7cWrUU+fzkzhmqc= OSUWUc3IAAYz3smM94sADSgACSqSAAAAyACoAKrGSe4knuRWKopCQMap4VjPektQhMAy2ncvIiC= 8dqSpKiAAAIMZ7xZ70FiQAUcVc81M654jhxyzKgDOCEk4UGssWVuOO1IjmeHJDVMM1SANJCTCLK= A+gB1cQAaJRZQAAIGy/wbtgxo+lRunVLURqGbb/7tTVzzasz5+PTV3/Zx6Za36bk04efYy6sazk= xarivwN6Jmivjt4q4mJmPveqf9oHedNMU0adoNMRHZxj3ez/9x8rilrU36OXZj2nu92juWrVXru= Nit367iba25m61mz/gsW1NXHnrq7qaY+uZ4j72ts9Pe+pqmYp0uI57I8WmeP8A1PwukDpQ3JvXT= LOm6pRg2Ma1d8L1cW3XR16oiYjrc1TzEcy6O8/D+D00UTOopiZddVxCqur/AGpxDv8Au3pc3Zub= QcjRdSjA8VyOr1/B2Jpq7KoqjiefTEPYPgm/u7z/APatz+6stYHfOjzpS1/ZGi3dK0rD02/Zu5F= WRVVkW65q600008fJqiOOKY8ztr+HxVp+Xp6Yj3y56XVYveu7Pw251XTsHVcC7gali2srFu8eEt= XaYqpq4nmOY+2Idfjo62LHExtTSPvxqXhX/aF3l6r0L8m7/wBRJ+ELvH1ZoX5N3/qPiUcJ11PtT= 7fq+lVr9NV3/wCmxmj7f0LR5qnStIwcGqqOKqrFimiZj0TMQ+nU8/D0zAu5ufk2sbGs09a5cu1R= FNMfa1e1Hp731lWposRpWFP+lYxpmr/11VR/Q6JubdW4ty3Yua5q+Vm9Xtporq4opn6qY4iP5nW= 3wLUXKs3Zx/dividqmP5Idn6cN/fHbcNNOF16dJweaMaKo4m5M/tXJ+3iOI80fXMujaR/jXD/AN= fR/ah889yUzNNUTTMxMTzEv01rT02bXKo7PjV3ZuXPXU3t3TomHuPQMrRc+q5GLlURTcm1VxVxE= xPZPb6Hn2J0DbEsZNu7XGpZFNE8zbuZPyavqniIn+lrHGu63651H2mv9Sdd1uY4nWNQ4/ia/wBX= w7fBtTaiaaLuIn6vpVcQs1zmqjLb/pF3pomw9uVVVXLEZFNnweFhUTHWrmI4piI81MdnM+aPuh5= f8EnIu5Oqbqyci5VcvXfF67ldU9tVUzdmZn75eBXbly7XNy7cruVz31VTzLlw87NwpqnDzMjH6/= HW8Fdmjnju547/ADvRRwaKNPVbir+ar5c6tfM3YrmPaPh7vqu7MXaPwmdTzNQueDwcqzaxr9fHM= URVbtzFX3TTHP1TLvnST0caH0kU4eqWtUnHyLdrqWsnH6t23ctzPMcxz2988TE+fztWtAxLu491= abp2XmXfCZ+Vax6r9czXVT1qop57Z7eOe76nvWJ0A3sSmacTfWfj0z5reP1f6rjx6yxb0tVExc9= NcR+Dvp7tV6mqPRmmZd66Jdg29g6fm4lvU69Q8bu03Jqqs+D6vEcccczy6Z0Sfv6359tX95DuWz= 9DwujXbOdd1jct/Ntzcm9cycuvq9WIp4iimJmfRPd2zMtUtzbiydR3dq2t6ffycOM7KuXaYouTT= V1JqmaYnifRw4aPT16uq7HqzmO/6uuou02Io9u3w7d8Jqf/ABZzf4ez/Yh77oWPg726GcLTreX1= LWbpdvHruW+KptVxTETHHpiqO76mnWVkZGVem9k37t+5PfXcrmqr+eXLhZ2dhRPieZkY/Pf4K7V= Tz/NL69/hdVyxboirFVLwWtbFFyqqY9qntej7PwuiXpT21k6rrlrLx87w9vw04/gqbNXU6tMz8q= rvmqI57OHq/SVtHWt114VzRt45uhU2KaorpsRM03eeOJnq1U9scT6e/wA3n09zc7NzerOZmZGTN= HPV8Lcmvjn0cy5cfV9Wx7cWrGp5tq3T3U0ZFVMR90S5XuF3rlVNya/5o/JujW26ImmKfafzbj9G= e1tX2thZljV9z5OvV37kV27l+Kom3ERxxHWqqdB6If39b8/+qv8AvYa8TruueudR9qr/AFcFnUd= QsZFzIs5+VbvXf/MuUXqoqq+2YnmWKODXMV+quM1R+DVXEKc04p7PQvhMfvazv4ex/Yh5o5MnJy= Mq9N7Kv3b92Y4mu5XNVU/fLjfa0tmbFmm3M5w+deucy5NX4iVeZUq8z0OaEhIIAKAJJADK1RNy5= FEechX0YFrmrwtUdkdz7UopimmKYjiIZMTOXGZzKSiyiIAAMZ72TGe8WABpQABJVJAAAAZABUAS= VVCQkVioiJCVSxWe1GZagFRFyEKiqEgggvCSNZABMJPeiygAJVJKsKu2eUZJLm2nCKAgcLTHM/U= BTHHayU4dGEAFhJRZQR9ADo5AA0SiygAAQJKpJCygCoAEkJPeE94EiKAk9yLPcgAAQJPcqSKytV= 127lNy3XVRXTMTTVTPExMeeJfb/LOr+tc72iv9XwwMzRTV3giqY7ObMzMvLmmcrKv3+r3eFuTVx= /O+dZRYpiOyzMz3SVjuSVjuaZAEEkJFgkAUEq8ypV5gQkJBABQBJIR+hhWupb69UfKq/oh8uJa8= Ld7f2Y7ZfpMzLFU/CgMsJKLKAAAMZ72TGe8WABpQABJVJAAAAZABUEmFFViSSSCMap8ysZ70lYQ= BGl8yLPciILxKMlViMphEVAAJRU4RYE4UBjPYwZ1T5mPDMtQgJwirwxXkMCM6Y4hKI5llMLTBKc= qxOWmMrKEgpKcKCOYc3imX82ufhk8Uy/m9z8Ms9Ra3R5OTc2y4RzeKZXze5+E8Uyvm9z8J1FrdH= lrk3NsuGUc84mV82ufhTxPK+bXPwnUWt0eU5NzbLhHN4nlfNrn4TxPK+bXPwnUWt0eVizc2y4Ul= z+J5Xza5+FJw8v5td/CRqLW6PK8m5tlwDn8Ty/m1z8MniWX82u/hleotbo8pybm1wDn8Ty/m138= MnieX83u/hlOotbo8kWbm2Xzz3jmnCy/m138MnieX82u/hleotbo8nJubZcI5vE8v5td/DJ4nl/= Nrv4ZOotbo8nJubXBPcjnnDy/m138MniWX82u/gk6i1ujycm5tlwDn8Syvm138EniWX82u/gk6i= 1ujyRZubXAkvo8Syvm138EpOFl/Nrv4JOotbo8rybm1wwOfxLK+bXfwSeJZXza7+CTqLW6PKcm5= tl88o+icLL+bXfwSeJZfza7+CTqLW6PK8m5tfNKx3ObxLL+a3fwSsYWX82u/gleptbo8pybm1wD= 6PEsv5td/BKeJZfza7+GU6m1ujycm5tl88jnnCzPm178EniWZ81vfglY1NrdHlZs3NsuAc/iWX8= 2vfhk8Sy/m178Er1FndHlOTc2y4EnzPo8Sy/m178Ek4OZ82vfgk6izujycm5tl8w+jxHM+bXvwS= Tg5nza9+CTqLW6PJybm2XzD6PEcz5re/BKeI5nzW9+CTqLO6PK8m5tl869szxEczL9vTNobq1PG= 8Z07buqZdjrTT4S1jV1U8x3xzEP0sLo+3rFc117U1mOO7nDr/RidXYj+uPJybmP+Mvxce1Fq3FP= n88uV2H4i70+iuseyV/ovxE3p9FtY9kr/AEY6uxvjy5ci7tl10di+Iu9PotrHslf6HxE3p9FtY9= kr/ROrsb48nIu7ZdclHY52JvT6Lax7JX+ifETen0V1j2Sv9Dq7G+PJyLu2XXR2L4ib0+iuseyV/= ofETen0V1j2Sv8AQ6uxvjyci5tl11j53ZfiJvT6K6z7JX+jH4h71+ius+yV/odXY3x5WLFzbLrg= 7H8RN6/RXWfZK/0PiJvX6K6z7JX+jXV2N8eV5FzbLrg7H8RN6/RXWfZK/wBD4ib1+ius+yV/onV= 2N8eTkXNsuuI7J8RN6/RXWfZK/wBE+Ie9forrPslf6L1djfHk5FzbLrg7H8Q96/RXWfY6/wBD4h= 71+ius+x1/onV2N8eTkXNsuuJy7J8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHk5FzbLrg7H8Q96/= RXWfY6/0PiHvX6K6z7HX+h1djfHlORc2y64Ox/EPev0V1n2Ov8AQ+Ie9forrPslf6L1djfHk5Fz= bLrQ7J8Q96/RXWfY6/0Sdh71+ius+yV/onV2N8eWuRc2y61PenDsnxD3r9FdY9kr/Q+Ie9forrH= slf6HV2N8eTkXNsutTHZ2I7N8Qt6fRXWPZK/0Sdh71+iuseyV/odVY3x5Xk3Nsut98I7J8Q96/R= XWfZK/0T4hb1+ius+yV/odVY3x5OTc2y64yh2H4hb1+ius+yV/ofEPev0V1j2Sv9DqrG+PJybm2= XXkl2P4ib0+iuseyV/oTsTen0V1j2Sv9DqrG+PJybm2XWx2P4h70+ius+yV/ofEPekf/lbWPZK/= 0Oqs748rybm2XXB2L4ib0+i2seyV/ofETen0V1j2Sv8AROqs748rFq5tl1ye9JniHZJ2JvT6K6x= 7JX+jjq2PvLnj4r6v7JX+h1VndHleTc2y66OwfEfeP0Y1f2Sv9D4j7x+jGr+yV/ox1FrdHleTc2= y6+xdi+JG8foxq/slf6J8R94/RjV/ZK/0Ootbo8nKubXXk4dh+JG8foxq/slf6M6NibzqjrRtbV= 5j+Er/Q6i1ujycq5tl1+I4jgl2P4ib0+i2seyV/ok7E3p9FtY9kr/RrqbO6PJyrm2XW+xOHZPiJ= vX6K6x7JX+h8RN6fRXWPZK/0XqbO6PKcm5tl1yCYdj+Im9PorrHslf6HxE3p9FtY9kr/AEOps7o= 8nJubZdbHY6tib0+iuseyV/onxF3p9FdY9kr/AEOps7o8pybm2X6PAD8C/WgAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAD79v6Vla5rWLpOHTzfybkUUzPdTHnqn6ojmZ+x8D3n4P20/ENKr3H= m25jJzKerjxPfTa/wBL7ap/oiPSg9G25pGJoeiYulYVHVs49EUx6ap89U/XM8z979EiOBAAAAAA= AAAAAAAAAAAAAAAAAAAcVc8yzrniOzvcYJwjIBiLwgJMCgIkxyvADHjhO9mkwDHhGRwDDgZcJPc= DivVdSjmO/wAz4/O5r1XXrmfNHZDjmBWExDGaWcwA4+IThyTDGY4US3RNdcUx53300xTEUxHEQ4= 8S31aetMdsudFYpLLhBEJXhBMJwjJOBUlOIZSgNRAGkAAAAAADl+1tbFx9Qp1PT68eLmVcw6rmH= VH7VNy3MVzEfbRFcfbw7PG29OqysKIxaJtaPdm1rU01TPhOra8NVM+jmabtv/dp88g8+OXctH0z= S8/B03WrmNTRj4l3I/lK1RMxE00R4W3H1daJ8H/ux5zWNP0rS8bUNWoxaLuPlZdidNtXJnjwVVM= Xq/t4iaKJ+2QdNHoVe2NPs39QsXMejjVbtVGi1TVPyafBeGpmPTz17VH31eh1nc2HaxKMLDx8Oq= i9i4VurOucT23bny+30cRVRT9sA/Dct+xXZtWrlVdqqLtPWpii7TVMRzMcVRE80z2d08T53bNcr= 0jQ8qNCo23j5seL26qsu7cuReu1V24q69E01dWKYmeyOrPZHa59O0HTM7L2xau0UWreRpt7JyO2= qJvVW670xE9WJntiimPkxzx3RyDo47nuCjbuVoGVkY06RayseqjwP8m2sziqJniabk3aer3czE8= xPZL9CbG36922tq29vYtFrJot0VZc3Lk3qLldqKutT8rqxETPdxPPH1oPPHLTYrnFqyYrtdSmuK= Jpm5TFfMxM9lPPMx2d/HDsmLGnaNtfT9Tu6NjapkZ927FVWVNfg7NNuYp6sRRVHyp55mZn0cQ4r= mLh5e2NSzsbTYxrs6pYt2bfXmubdFVFyepEz2zHMR39vZCjrZ//ALveh5ek6VXpuqadXjaFZzcD= Dru8Yd3IuZFuu3x1uvXMTant5iY5757H5moXNK0W7i6RG2cbUPCY1m5cyrly5F6/NyiKubU01RT= TETV1Y7J/Z7fOg/A1XSbun6jn4dV6xXOFX1a6puRTNfbx8mmZ5n7I5fnO77ixMa/rO9712x1rmN= MVWZrj5VEzfopn7+JmHz6jc0rRqsTSPi1j5/hcazcuZNdy7F69NyiKubUxPFMRNXEfJnu7QdVos= V141zIiq1FFuaYmJuUxVPPPdTM8zHZ2zEdjG7buWa+pdt126+Inq1RxPExzH88TEu5a1p+nadc3= Jes6faqjT9VsUWbV6KpiKObnNE8TzxPViJ7eezvfRr1yjWt5YuJRomk26LOLZyL1XhLlqmq3GNR= XPhKpqniimO7jieI75lR0S1T4S7TbieOtVFPP2vs3Bptej65naXcu03q8W/VamumniKppnjnh2j= cmHpdzRcPVcG3pVF2jUIxq503w8WqomnrcT4aP2o476eztfl9I1q7O+NfvRbrm1TqF2ma+rPViZ= qniOfT2T/Mg66cw7xqEaNo+uWNufFrHz7dUWabmTcruRfvTcppnrUTTVFMR8rsjie6OUu4Gk7ew= tduXtOx9WvYOrxh49V+qqKOrxc5mqKZjn9mOznv+xR0gdy1W5pOheJafO3MTUJycW1k3ci7cuxX= XN2mKuLXVqiKYp56sTxPbHa/I3zh42n7sz8PDsVY9i1XEUW6u+mOrE8T9YPxAAAAAAAIiapiKYm= ap7ojzg7P0Z7Xubq3RZwqomMO1/hcqvjuoif2ftqns/p8zaaxat2LVFq1RTRbopimimmOIpiO6I= h1Dom2rG19sW7d+iIz8ri7lT54njso/3Y/pmXcmQAAAAAAAAAAAAAAAAAAAAAAAAJEq5nsBhM8z= yizCAnHApwCBMAJMIyAYizCAgpwCJwoDFxX6urTxHfLmmYiOZfLXM1VTIsOLhJhnwgrCYSYZzCc= A42Vqjr1xHm86zD6LNHVo+ue2RJZ+bgAQAFSYRkTAMeEZIIgvCA1CAaAAAAAAH06ZnZemahY1DB= vTZybFcV264iJ4n7J7J+9z2Na1Wzb1C3azblNOpRxlxxE+Fjnrdv3893pmPPL88B9mJqediadma= fj5E28bNiiMi31Ynr9Weae3jmOJ57jN1PPzcHCwsrIm5j4VNVGPRMRHUiqeZjsjme30vjAfoX9b= 1a9Vp1VzNuVTptNNOHzEf4KInrRx6e30+iI7ohlk65q2RVqU3s2uqNTqivMjiIi7MVdaOeI7OJ9= HH8z80B+zjbp3Bj4EYVnUq6bVNE26Jmimblumf82muY61Mds9kTD469W1KqcGrxuumrAo6mLVRx= TVajrTV2THE99Uzz39r4gH6usbh1nVrMWc7M69qKuvNFFui3FVX+lVFMR1qvrnmXDTrGpU6zb1i= nJ4zrc0zRd6lPZNMRTT2ccd0R5nwAP09H1/V9Js12MHL6lmuetVauW6blHW7ut1a4mIn64jlx5W= sanlWsi1k5ly9Tk36ci9NfE1V3KYmIq63fHEVT2cvgAfuZO7dw5Niuxe1GaqLlubd3i1RE3aZiY= nrzFPNc8T31czHmYYO6NfwsGjDxtRqptW4mLczbpqrtR6KK5iaqP92YfjAPvv6zqd+5n3LuT1q9= Q48amaKf8ACcVRVHm7O2Ins4dq0TOro0nEt0b6x8TGooiK7d7EqnJx/wDSptVRRVMR38cVU/ZHa= 6MA/Y1/XcjUNQ1auxVVbxNQy/GJtVUxM9k1dTme/mIqnuSNya3FWDXTm9W5gUdTHri3RFVNPHV6= s1cc1Rx2cVcxx2PyAH6up7h1jUrUWszLiu1Tcpu026bVFFFFVPPE000xER+1PZHf5+XHn65q2db= y7eVmVXKMzJjKv09WmIruxEx1uIjs757uIfnAP2sPde4cTDpxMfUq6bdFPUt1TbpquW6fRRXMda= mPqiYfmxnZcadc0+Lv/drl2m9XRxHbXETETz391U9j5wHd9v51y3o+Nas73xcKxRH+Es5OJVVex= 557fAzFFX2xxVT2+h1zdmpWtY3JnalYpuU2b92arcXP2urxERz9fEdr8sAAAAAAAel9A2051fXp= 1vMtz4np9UTb5jsuXu+I/wB3v+3h5/o+n5WrapjabhW5uZGRciiiIj0+efqjvmfREtr9paJjbd0= HE0nEj5Fijiqvjia6v86qftlJH60RxACAAAAAAAAAAAAAAAAAAAAAAAABLGFn0AITCgjCYRmkwK= xOFnsQEFJgESYUBOEZJwCJwqVTERMyDhvzPHVj73C5J5meZ70mIkWGEpMMpiUFY8Jwz4SY8wFmj= rV8z3Q+hLdPVpiPP52QyicLMAMRknAIAAnCgqIyOAa3+TPfHqK5+db948me+PUVz8637zaAXKNX= /Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/ACZ749RXPzr= fvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufn= W/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav8Ak= z3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8me+PUVz8637x5M98eorn51v3m0AZGr/kz3x6iufnW/eP= Jnvj1Fc/Ot+82gDI1f8AJnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrf= vNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj= 1Fc/Ot+8eTPfHqK5+db95tAGRq/wCTPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz= 3x6iufnW/ebQBkav+TPfHqK5+db948me9/UVz8637zaAMjyroT2Hl6FdydY1zGiznTzax7c1RVN= FP8AnVdnZzPd9kT6XqpxHogQAAAAAAAAAAAAAAAAAAAAAAAAAAEmFBEADIAGE4SYZAZYIzmEmBW= KcMkBBU4AcN6fldWO5yV1cRy4e8GKTDLhBWKTHLNOAYcSzs08zz6CI5nhzU08RxAJwKCMTheAGI= pwDHhJZAMRZhAAAfoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAgpwJ7oEwAAAnDGYZgMEZTDC52QK4655q+qGEwzlAYDKYSYBjMehGREczwC2qe3n= j7HIccAInDIBiLwnAJwjIBicLwgIKkwCcHCgPuAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOAEwkwKSCAgo4qp608s657OHHwJhJSWRwKx4Rlwn= AMeGVuniOfSRHayAOABBU4AABJhGQDEXhASUZJMAnBwqA+0AAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJ445VjX2iYYTzyjJOBWPBwoDEmF= 4POBTCgCcIyAYi8IAnCgIKnACKAnCMkQQ4ZU0zVVEQ5vB0ehRmAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABMseFnvBGMwkwzSYDLBJhnMJw= KxWIAE4FAQJAE4UBOEZJwCC8IBwigIkspgopmqrjzA5LNPEcz3y5OfqAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJVJAAAAEwJMKAxmE4Zp= wKwFmAEOABOOBTgEAASYUBiMkmARzW6eI+1x245q+qHNAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgnHCn3ggqcCgAAAgnCgMOEZpMCs= RZhACYAEFSYABlbjmeQZ0xxCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJg4SVAQAXIAGAATCJMMgMsOEZ8JMCsRZQDjlyUxxHEJ= RHnZAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAACJMCgIHCCqAAAInCcdrIgFAFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAO04ARBUDIAKR2qQAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAHHaAmAAUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAmU5fkbu3Hpe19LjU9YvV2cTwlNublNE19WZ7uYjt4YbZ3PoW5sa5f0LU7ObTa4= i5FHMVUc88cxMRMd09/oa5dfp9WPZiblMVenPu/a5OWq1vpe3roOu5+PGfb1DGt5VyKbWXR1uIi= ueyKo4q7vrbI7M1ivX9radrNePGPVmY9N2bcVdaKZnzc+d6dVobumiKqu0vNptbb1EzTT3h+z5u= SJ5dO6Yd31bI2Hm63Zooryommzi0V/szdqniOfTERzPHn4eDbL0bpw6QdMr3HibvvYWLeuTFqq/= m3LNN3iZiZoot0zEUxMTHdH1PI9jarkeG5WD0j7J6MLtOq9IGlYesXdXpqt6hm3671qLE2uPBc3= LVUxVNVMzx1fv8z07B3Fp+kbJ0nVNzbg06nwuHZm7m1XIotZFybcTNVHMRzFU8zEREdnmgHZB1X= TekXY+pVZFOBuXAyJxsevJvRRXM9S1RHNVc9ndEPmp6VejqqqKY3fpfMzx23Jj/kDuY+LK1fS8X= Sf5WydRxLWn+Di541Xdpi11Z7qutzxxPMPwNN6SNi6nqFjTsDc+n5GXfri3atUVzM11T3RHYDtg= 8p6LN1alas7l1DeG/ND1jBwq7c0V4nERiUzVXExc4tUds/Jj/O7pdlsdKXR5evUWqN36V1q54jr= XurH889kA7iJTVTXTFVMxVTMcxMd0qAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADy/wCE5+7G5/F2v+bqXwR+7c3/AA3/ALrtvw= nP3Y3P4u1/XLqXwRv2dzf8L/7r7Vr7sq+v+HxLv3jT9Hie5P8AKHUv4u7/AG5be9EP7sdv/wADR= /U1C3J/lFqX8Xd/ty296If3Zbf/AIGj+p6uNfYW/wB/Dz8H+3ufv5dD+GBjX7/Rfi3bVM1UY+qW= rl3jzUzbuUxP4qoj73Yvg46jg53RFotvEv267mLbqs37dNUTVbriursqjzc9/wBku5bm0TT9x6F= l6LqtiL2Hl25ouU88THniYnzTE8TE+mHgWb8GOvxu7Vp28PB48zzRTew5muI9EzFcRP28R9kPzb= 9G7V8MCf8Awtxv9q2v7u68d6UMvJzNf2Fpl/TsnVMTH29p82sC1VVE5M1URNUR1YmeZ4insjn5L= 1ijoLyqejC9s6rc1mq7c1enUIyZxZ4iItdTqdXrffzz9z9je3Q1i7k0Lb1q1rN7Tta0TBs4lrOt= W+YrptxHHNPWiY7YmYmKuznzivP9sY2NOi7xrp6KMzaVdvbGfNObeuZExXPUiPB/4SIjmYmZ9Py= X42wdibY1b4PmvbozdPmvV8SMmbORF2uJp6lFM09kTxPb9T1HQeineGLa1bH1jpFzNWxtQ0vJwa= bN6m5VTRVdo6sXOJrmJ47X6u0+jK/oXRJquxatYt37mfF+IyosTTFHhKYj9nrdvHHpEa769m5eR= 0NbD0i7l3KMK/qGb4Tmrsjq3KIp/m8JXx9rZTbnQ/sHRM7C1LT9GqpzMOqm5avVZFyqrrR3VTHW= 45+516joP0/J6LsTZ+p6rNzKwsi7kY2fZs9WaJrntiaJmeae7mOY7o7YfPszoh3hoGv6Zm3ekjP= zMDCvUVThzF2mi5RT/mcTcmIjj6uAeadE2p6JpG0OkrL3Fg1ahp/hseivFprmnw1U3LvVp5ieYj= rcdvoj7nXN3VafnbOu52n9EWZodiuKLlrVqb+RctUUzVEd9VPVmKu7v75h7hoHQZbxNu7o0XUtc= 8Yt65ctXbdyzj9SrHrt1VVUzxNU9btqj0d0+l+Fe6BN23dH/kW50l5NemRTFEYlVi5NrqxMTEdX= wnHETEcfYD0noAy8jN6H9u5GVdqu3IxqrfWq7+rRcqopj7qaYj7ne3XOjPbde0Nkadty5l05dWF= TXTN6mjqRX1q6qu7meP2uHYwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAeX/Cc/djc/i7X9cupfBH/AGdzf8L/AO67b8Jz92Nz+= Ltf1y6l8Ef9nc3/AA3/ALr7Vr7sq+v+HxL33lT9Hie5P8otS/i7v9uW3vRD+7Hb/wDA0f1NQtyf= 5Q6l/F3f7ctvOiGf/DHb38DR/U9XGvsLf7+Hn4P9vc/fy7NnV1W8DIuUTxVTaqmJ9ExDVLYm6On= Pe3js7d12rIjCqoi914x7fV6/W6v7VMc/sy2r1P8AxZlf6mv+zLX34Fn/AJW7P9Zi/wBV5+bfo4= fNsTpR37t3pKs7Q6RqvC05N2ixVNy3RFdmqv8AYrpqojiqiZmOe/7uJeoba1nduT0raxpeoZej1= 6FZornFtWL9qrJpmJp469EVdaI7Z74jzPFfhN128zp10jGwZivJoxsWzXFM9sXJvVzEfbxVT/PD= 7sXUcnSOnLpL1PDq6uTi6TmXbVXHPFcRb4nj6pBsVnbk2/p+TVjZ+u6Xi3qe+3ey6KKo+2Jnl1r= pG3RmfE69n7G1nQr+ZayLdFV29mWvA0xPPMTVNUUxPojl4r0KdFW3977JzN0biy9QyM25lXojwd= +Kf2YieapmJmapmZnnn0OmaHER8H/c9Md0a3iR/wCmoHs/TdvzXdv9F+3snA17Dxdx5FePVmU4t= dq51qarNc11Ux2xNE1xHFUdnd2vS9qbq0jM2liajka7p1ybWJYqzbvjNHFquumP25ieKZmrmO3j= ta9dN+29Lt9C+yN1027n8qXMPAwaq+vPV8F4tXXx1e7nmO93bL2z0d7G6FcnM1TEzq8PW8bCqy7= Nq/M3L92ni5RTRM9lPbNUz9UT9gPXMfde2Mm/RYxtxaReu1zxTRRmW6qqp9ERE9rzLpX3duLSOm= nZ+habqdzH03Pmz4zYiimYuda9NM8zMcx2dnZLwLeU7Mu7fjJ27s3cek3+vTVby8nIm5Zqp9Hd5= +Y4mJ9DvWtZuVqO/uh/Nzb1V/Iu4GFNy5VPNVc+GmOZnzzPpBtTAQAAAAAAAD8PfG4MbbW28rVL= /wAqqinq2aP9O5P7Mf8AOfqiXgHlU33zP/xqI+rxWz7gNmxrJ5VN9+u49ks+4eVTffruPZLPuLg= bNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7J= Z9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWf= cMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffru= PZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2= Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb7= 9dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/X= ceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeV= TffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3= 367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjW= Tyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8= qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZ= sayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLP= uHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7h= gbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNgIAAAAPL/hO= fuxufxdr+uXSfgp52FiVbioyszHsVXZxvBxduxTNXHheeOe/vh7zq+mafq2L4pqeFj5mP1oqm3e= oiqnmO6eJfkVbE2ZMdu19In/AISj9Hvt6ymnTTYmO85y+dd0lVWpi9E9vhrruLok31d1LNzsTSr= WXYu37lymbWVb5mmapmOyZh6F0e9It3auiYW3t57c1TR7WHbps282rHrm3VEeers7Pu5ek2NlbY= xuZw9IsYcz3zi1VWZ/nomJc8bdtW4mnG1LU7duqOKrdzInIoqj0cXet2fZw6XuIc+iKLsZiP0Ys= 6CbNc125xMvtsZeJrGj13tOy7GTZv2qot3bdcVUzzHHfDWvTPg/9JGmzd/k3dmmYXhJia/F8zIt= 9bjnjnq0RzxzP873jE2dj6ZkXM3Rb9Om5NUzM02LfVsXezs8Ja56sz/81PVn63Z8abk2om7TTTc= 4+VFM8xz9T51WM+z6VE1Y93h3RZ0E39A3RZ3LurWLWpZuPc8LZs2Yqqo8J5q6q6+2qY74jiO2In= me5+3onRdnWeljc259Uv4ORpGtY17H8Woqr8L1bnU5ir5MRHZTPdPnetJMcstNVq9nZ+1bmda2X= 0y6BjaZc5uV2bupRbrniJ7Jpp60TPHZzHHPofN0PbM1Pe/Q9uLR9Ov41i7d1excpu5E1RRPUo5q= j5MTPPyo8z2SvoG6Na7lVyrRsiaqp5n/AL7e7/xO97b0DSNt6Ta0nRMG1hYdrnq26OZ5nzzMz2z= P1zMyK6HvXozydzdD2jbNuZ9jH1DS7ONNF6Imq1VdtWptzE9kT1Ziqrt457ux1ux0R7y1Xo+z9r= 7t3VjZUW6sevSK7XWuU4824rpmmrmmmZiYqpjvmY4+rt7rujU83P3nZ0rCuX7GNptrwmfNNVdEV= TdpmLcxNMTz1erNXFUxEzMejs65rd/eutZ1i9GHrODHgZt0049FVvwXhOrz1p5+XVT16O2eI5t3= PNPLtRYmr5eeq/jtDquq9EfTBqm3adu5+9tIyNLt00UU49ddziIo46kcxa57OI879+50Sa/Xruw= s/wAf0zwe3MbHs5Udevm5Nu5NUzR8ntjifPw7Bcyt5YOhYFjBwL1zxm1NNyK4u1XLHWimmOZqma= oqpmvv7qot1TERzD6NG1HdOu61gWNS0vK0/CouU5VdUW6rfbFuKvBVVTPyoiq5THPEczbq7OJ7H= JnGcrzo7YeiUqlKuLsAAAAJVPCuidM27I25tmbGLd6uo5vNux1Z4qt0/wCdX90dkfXMegHlXTdu= yNwbknT8S51sDT5mimY7q7ndVV/RxH2c+d5+faKACgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADdABkAAAADgAODgAOCIiO4AAAAAfLXp2Bczac65hY= 9WVTTFNN6bUTXERPPEVd/D6erT6FBMJ1Y9BFMQoKAAAAATPAOLMyLGLi3cnIuU27Vqia66qp7Ka= YjmZaqdIG5L26dzZGp1zVFjnqY1uf8AMtx3R9s98/XL0/4Qe6/A41G18K5/hL0RczJj/No76aPv= 75+qI9LxBYABQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAABugAyAAAAAAAAAAAAAAAAAAAAAADG5+yANXemD94+sf62n+xS6mCgAoAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//9k=3D" width=3D"= 793" height=3D"1121" alt=3D"" style=3D"margin-left:-1pt; position:absolute"= /><img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBD= AAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQE= BAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAAbAE0DASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAA= AAAAAAABwUGCAkKAgT/xAApEAABBAMAAQQCAgIDAAAAAAAFAwQGBwECCAkREhMUABUKFiEiGCUy= /8QAFwEAAwEAAAAAAAAAAAAAAAAAAAECA//EACkRAQACAAYBAwMFAQAAAAAAAAECEQASITFBUQN= xkfATImEygaHB8dH/2gAMAwEAAhEDEQA/ALAbx6gFUHCruua3rKsFMMDvK/BjZu2mcwdmDZDW+L= BBRGGRYS3M6bOyDrRuPBR8MxTTQatUEUk9Go5nvujzW3N/m+6DizK0o6FqbmeLnGqRiK1tedm26= ftJ0HdJ4cMNZg3jZduPhxR033S3cDFMvXg7ffZF4gi4TUQ1DjUFHp95X/HtX1jtGj+vMdg+QCyR= AYpjTcPIbgrE/dUprRB6grn4FnkcMMk5QE13122/asENE9d9lM6ZcD3yLdzI0R2hNAl83CT7Urt= /ZDeV8go8yOCkS5trYN0fXsL2s8JJW8FS+6+iVIF5XN443LyCQNp+mOeGmjF21EKI75QhG5S1Va= 1V6/c29TGEPGOaaqynLmVVZ0n5DeivTHcTv/oqsb6R5H7biswo6/zAR/JqzMArSmcgqO9I6I2/7= l9WUpWKtt1ioVPbRcvGSCSRhmh7190fj11yoSWJnproe4bApHmWTvI8ypSLBZX0HfVjy+ekINWm= ZQyfFYrBQQNjJWDmY2KcCMFpAuLw/Yj4+Eci3pV3osWHN1mF5GZrA7Y8aNMXvGulpv1VN6i8idF= o863tPapzVUrLE5OeZx2YQmOqpxeHpS6OrRAhJ3hMoNE5HkHUc0YPfsPY5ndB78/T6q4QO8jXAn= QBpKuMd1OJVcHPFklXbIKIs0zJaNhVYyylxUkKbIimtiRArWwwuCjT9ym5PBZfs5EJqrNXSP4EI= xnu/cLlWyzLw+51V+k/SieWm0lBlWaVWINFrrduv8XgftJJ1jV1HVv1jM7KK3NyzOZElFJjJGid= g1PbVEE3koViI0xY0FdziRMlYo8K/RWXfJP2bwWFLhzLhtuye/Lp4Zl0nI5b0Xjk+sOi67qGaBq= 2dW9Zln37c8hDRWBwJogs9xkPH1pgJfTGSKjGrs45HNXrVsGjzfcyTX0bKoZ3APKsIiPEfgmeeP= SS5Jp9w972bcZUnz2SeiSk4rlmYsJhVyNlyEKIcO14pXounKlhk+SOG9m6T82a2RGLrOHCLNKQE= AhXKzqy+v8AmbsOrqIlqnW4qt57yjL+icaAa4K27X1QDKoJVgpZSOiJuEyfdyAFycQmDKMCxYWX= L6CcPXbdZv8AhljnC6qN5RDkD8/7d4bCB5IRuhtY5mmq4sdSzfbCGPuO44dSy/W4XqSOdh8fxmf= K17c9h1i9sWBz2jHO0n/q7SdyOJuZiabG63cOXIo8qTaKtSDWEGB0ty2WH7OstyXOLWuKVTKa11= T1hsYKIp6t07h6S6LuGxZ3pU9BVw51eKBnBFgOkCL+Uy6TpCyboJH2jlsjoOYOHzt1jZRk2dxFu= vPcPOXJ9wcqZ6Fqo4968aTzmioPHdI5Nv0TYcBqGVR4hUhu3x12JZZy6PxCFi/t2XGSVgJEhI6J= tI4D2cInd8M2xUBs4PXAHsnjW3Fa70U7RgNGlucZbeshMwqoLJtujGIRq7o2cT8SQFbxM0fzFhR= uItXxRFscWIk09ESe7RYU/piZxXcdO6y+9b/5gfH4zyRjdXGX25nVMtCK8Mni67MeOM9GWI3gkx= vSuevYx2vR1Rrx9XohjBGVzUzdlHxOULKIjLWVgM2O4cS2tNMprOnZVog2zqIbuSLN07+i7R10H= eLWVGpMn0u1eSo/IwY6wK9fRz9wfJyBJk2PVXHXbvIpwYdPlWrIhugi+2bNlE2m7lRd5hHDh04V= VoL6GmthjrX6E6Cv2CVXTF59F8AN/HFzHxTVNsxa47Cswkdlw6SnbqmOYcq5YgK6r9qL1RZHjCn= wiophdu9eNyWGg97dz4co+tE490FFnK/2nEbNUkBXc+u2cOFxFKxwestrnbGNs6qqN9t9c5xjOd= c49cev4yo+SKB+mWxVbb12aGnBi4wgebxxrRjNYqpplRpdxd8YfLn8j7Cddx9D8v29KRnOz6hO4= b8kfLPUcc0dfs6pt6HdDT4jGy01TWV2bLRQ5ursHkGc4SHJs1vcV1wOwuu31HVX51OrYRChQK+v= HVP7qm2g9m3Y2/ypOIJKams7OqOmjWTN9Cb5uTiTQtrjV2okRw4bMsLb6Jb7I667Zx8d28w0aZ7= f7IMEoP8AYIleqehCRBxiSy9D7D19bcudOl/hbn0kEsquFVFPjRSTS093tT000xrrgZxSFMYAJ3= AweR2dEAm+m+mREbuO2gw3Gu+ce/2MR81QbJ529c+uyaeu2fXP+fxhW2h13t3eKp3jVNNN6e3Zv= +e8XG+VDyg2VLJXAL769GQytlqaIPpVyF4+4zLh01Oa2a7HOBjG8egzwPfA9vvFxzp6lHGDVPVB= su9dNhqi7h0R11hBzj5KeufJO9sWn1Kh5OKB4dCmE7NCrXjsvPAiiT2ewyuhDFiPFi5KvkqtI5y= Fxo6UZoIMmmrt2q8SwjjXeAZfmelz5B0XOxUiaKvVdlnhMtN58RIO1tv/AEq5ePJQs4XU29Meu6= qm22fT/Ofwl0/AYzRBY6cqJEvBS0kCpRw29ESmU7KkAyRoVI27RXD0y7T02ZyAAENMXSOiTxgUF= MXzNwg5bpqajEUUFNn5898GSK5pBKXb1pxtxg82F3r0B4843AZZG6E4fizS/GDyRQzepB7/AAam= MIDNxjF9MCmG6LMkOBDZ3tKaq3YSDdkUTsOs7FD6CsJRvd85enP3ks7b8kGLCqePUFyzPUYtHBU= mMwuxGBR63PjnskGR5XUGLeakUipQQkRWPOWaOmj79KLKOGOrhyho2VhXMaSrifN4k0mYkxJW8F= j5CLRBMtNJu6wAjxWay6xiQphtvI/fo1fTmeTGUOdd9t91S8iJudt85X9NV2rawiNMF8yKqdJJA= DuXgF/+3jE6nQx/h5GTjORgXGrlCSYV1UFnB7Mk1zrtj2uW+mdsba+7XM5IXeUvv56YX0vHd5I2= c1rx/wAMSGsLvK7PHu2RUjlJ8PRGeHcif7fC6wikxHTAGIkYnSSwwgfOLR8WDKDpJHV2RtmzDyQ= quLSetUCrNg9wogi4OffK71p5AJHKqKWqrlR8xRhD+Yv4/ZwaSn2EqQHHY6CRj0aiTBnITEvlaz= 6SsyDYIEDviqQQaeON0FEwy+uY6WHG2VsRYDCbHISqYxWNkHhIMGNTeZuG7R883Wyo4331P6OHe= 6WrhdFlh6s51GtllGo/Vq23yllCqisIZSZ97J6sYk4abJiVQBJ4NlEqW1IB1iA0v9B60fmnjJ0i= gYDhzLLK7ZTdgZECy7HduRHM3KLyR00NNTDfHBczEs0Hn5pg6T7ubp3x5x+qLAZ8gcm1mn0FGjh= YUQhMLNBjaGI0WQYkYrJ13TMWSYlUGD2OSNQFsptq2ESEGq8SbPt1WrfXr/Fu67nvbvPHWd12GH= j8dkX/ACIARHZhGk3Wo3LIDUkNWar41drKrYXUySVwr/v7c4109uMemfXFvacXZ3SNbjLaMTexB= 7A44kg9nLbGsA0gNNvhYwG+IDU3kmUwOVfCw4tq+0ZfAi8+g2WcpKuEtVfzZ5/FUraF1lyF0YLh= AbIRiR6Ry/eIYJFiXzO8VjBm+FflLP36yfoiknp8aSmiX+vu9nvzttkyR3ovDIRi5gpqr5r+sf/= Z" width=3D"77" height=3D"27" alt=3D"" style=3D"margin-left:441.05pt; posit= ion:absolute" /><svg font-family=3D"Times New Roman" font-size= =3D"16" height=3D"41.33" version=3D"1.1" width=3D"209.31" xmlns=3D"http://w= ww.w3.org/2000/svg" style=3D"width:209.31px; height:41.33px; font-family:'T= imes New Roman'; font-size:16px" xmlns:xlink=3D"http://www.w3.org/1999/xlin= k"><defs /><g><g><path d=3D"M0,0 L209,0 L209,0 L209,41 L209,41 L0,41 Z" fil= l=3D"#7c7c7c" fill-rule=3D"evenodd" /></g></g></svg><a href=3D"http://www.anatomiadigital.org/" style=3D"text-decoration= :none">www.anatom= iadigital.org</a>ISSN: 2697-3391Vol. <sp= an class=3D"awspan" style=3D"color:#ffffff">8 No. 2.1, pp= . 19 <span= class=3D"awspan" style=3D"color:#ffffff">=E2=80=93 33, abril - mayo= </sp= an>2025 Revista en ciencias = m=C3=A9dicas, salud p=C3=BAblica Art=C3=ADculo de revisi=C3=B3n bibliogr=C3= =A1fica.brecha<= span class=3D"awspan" style=3D"letter-spacing:0.1pt"> entre el aire y= el hueso tambi=C3=A9n</sp= an> disminuyo de 30 dB <= span class=3D"awspan">(SD =C2=B1 10)</span= > a = 10 dB (SD</s= pan> =C2=B1 5), ambos resultados= <span= class=3D"awspan">fueron estad=C3=ADsticamente<span= class=3D"awspan" style=3D"letter-spacing:2.95pt"> significativos (p < 0,001). = Estos cambios sustentan la e= ficacia de las intervenciones terap=C3=A9uticas. (17)Los principales<span= class=3D"awspan" style=3D"letter-spacing:-0.3pt"> predictores de intervenciones</span= > quir=C3=BArgicas fueron, en<= /span> <span= class=3D"awspan">primer lugar, la</span= > edad avanzada, que limita</sp= an> la posibilidad de<sp= an class=3D"awspan" style=3D"letter-spacing:1.05pt"> someterse a una = intervenci=C3=B3n quir=C3=BArgica, y</spa= n> cada a=C3=B1o adicional aume= nta <s= pan class=3D"awspan">en un factor<= span class=3D"awspan" style=3D"letter-spacing:0.45pt"> de 1,03 (OR = 1,03 <= span class=3D"awspan">por a=C3=B1o, p</sp= an> =3D 0,01). Un total </s= pan>de 24 pacientes recibieron </= span>una intervenci=C3=B3n<sp= an class=3D"awspan" style=3D"letter-spacing:0.4pt"> quir=C3=BArgica, que incluyeron</spa= n> timpanoplastia, cirug=C3=ADa facial,<spa= n class=3D"awspan" style=3D"letter-spacing:0.4pt"> descompresi=C3=B3n nerviosa y<= span class=3D"awspan" style=3D"letter-spacing:0.4pt"> timpanismo. En relaci=C3=B3n</spa= n> con los tipos d= e <span= class=3D"awspan">fracturas, los pacientes con fracturas mixtas ten=C3=ADan 2,1<= /span> <span= class=3D"awspan">veces y los pacientes con fracturas trasversales, 3,5 veces m=C3=A1s probabilidades de requerir = cirug=C3=ADa. (17)Suli= gavi, <= span class=3D"awspan">et al (18),<sp= an class=3D"awspan" style=3D"letter-spacing:0.5pt"> mencionan la correlaci=C3=B3n= de= las fracturas del <= span class=3D"awspan">hueso temporal con</s= pan> la p=C3=A9rdida auditiva. = Clasificaron = las fracturas en = 2 tipos: la= tradicional, que engloba</spa= n> la longitudinal, trasversal = y <spa= n class=3D"awspan">mixta; el segundo</spa= n> grupo fue el sparing, <= /span>que comprend=C3=ADa<sp= an class=3D"awspan" style=3D"letter-spacing:2.05pt"> la conservaci=C3=B3n o violaci=C3= =B3n <= span class=3D"awspan">de la capsula</span= > =C3=B3tica. Se realice un</sp= an> estudio de 35 pacientes de los cuales el = 77,1% eran hombres</= span> y el 22,9% m= ujeres, </span= >el 94% de<sp= an class=3D"awspan" style=3D"letter-spacing:0.2pt"> los </s= pan>pacientes cursaron con sangrado de o=C3=ADdos. Adem=C3=A1s de los 35</= span> casos, 30 presentaron= fracturas longitudinales con un= <span= class=3D"awspan">porcentaje de 85,7%,</s= pan> 4 tuvieron fracturas</span= > trasversales y solo<sp= an class=3D"awspan" style=3D"letter-spacing:0.35pt"> 1 </s= pan>paciente tuvo = fractura mixta= con un porce= ntaje <= span class=3D"awspan">de. En el<span= class=3D"awspan" style=3D"letter-spacing:0.8pt"> estudio <= /span>se realiz=C3=B3 un <s= pan class=3D"awspan">nuevo sistema de</span= > clasificaci=C3=B3n, donde 27 c= asos <s= pan class=3D"awspan">(77%) ten=C3=ADan cons= ervaci=C3=B3n = de la c=C3=A1= psula <= span class=3D"awspan">=C3=B3tica (OCS) y</s= pan> 8 casos (23%) presentaron</sp= an> afectaci=C3=B3n de la</span= > misma (OCV). El 34% </spa= n>de los pacientes= <span= class=3D"awspan">tienen p=C3=A9rdida auditiva<span= class=3D"awspan" style=3D"letter-spacing:0.1pt"> leve </sp= an>y el 28<s= pan class=3D"awspan" style=3D"letter-spacing:0.1pt"> % </s= pan>tienen audici=C3=B3n<span= class=3D"awspan" style=3D"letter-spacing:0.1pt"> normal </= span>y el 3% presen= t=C3=B3 </span= >p=C3=A9rdida auditiva severa. (= 18).Deshmukh<sp= an class=3D"awspan" style=3D"letter-spacing:0.8pt"> et </sp= an>al. (19) presenta= n <span= class=3D"awspan">un art=C3=ADculo donde</s= pan> indican que las fracturas <= /span>en el hueso te= mporal </span= >son m=C3=A1s frec= uentes </span= >en los varones,</= span> adem=C3=A1s, dentro de</= span> los 50 pacientes<= span class=3D"awspan" style=3D"letter-spacing:-0.5pt"> evaluados se determin=C3=B3 q= ue <spa= n class=3D"awspan">34 padec=C3=ADan p=C3=A9= rdida <= span class=3D"awspan">auditiva conductiva (= CHL) <s= pan class=3D"awspan">y 16 p=C3=A9rdida</spa= n> auditiva neurosensorial (SNHL); adem=C3=A1s, 33 ten=C3=ADan<spa= n class=3D"awspan" style=3D"letter-spacing:4.95pt"> una </= span>fractura de = tipo <= span class=3D"awspan">fracturas como preservaci=C3=B3n de = la c=C3=A1psula =C3=B3ptica (OCS) y 17 ten=C3=ADan fracturas violatorias (O= CV). (19)<a id=3D"_._Discusi=C3=B3n"></a><spa= n class=3D"awspan" style=3D"font-weight:bold; color:#767070">4.<span= class=3D"awspan" style=3D"font-weight:bold; letter-spacing:-0.1pt; color:#= 767070">Discusi=C3=B3n= La <sp= an class=3D"awspan">p=C3=A9rdida auditiva tras = un TCE depende</sp= an> de la intensidad<spa= n class=3D"awspan" style=3D"letter-spacing:0.35pt"> y </sp= an>ubicaci=C3=B3n del impacto, = si se afecta el </span= >o=C3=ADdo interno, se </span= >puede interrumpir la = transmisi=C3=B3n del sonido, un trauma que </span= >da=C3=B1a las c=C3=A9lulas ciliadas o <= span class=3D"awspan">la v=C3=ADa auditiv= a genera </sp= an>p=C3=A9rdida auditiva neurosensorial,<span= class=3D"awspan" style=3D"letter-spacing:0.05pt"> mientras que una fractura<s= pan class=3D"awspan" style=3D"letter-spacing:2.25pt"> o </= span>acumulaci=C3=B3n de<spa= n class=3D"awspan" style=3D"letter-spacing:2.25pt"> l=C3=ADquido causa p=C3=A9rdida</s= pan> auditiva conductiva. El</s= pan> trauma craneoencef=C3=A1lico (TCE)<= span class=3D"awspan" style=3D"letter-spacing:-0.25pt"> tiene efectos significativo= s <spa= n class=3D"awspan">en la audici=C3=B3n,<= /span> lo que se evidencia en varios estudios.= Por un lado, el estudio de Penn et al. </spa= n>(15) en ratone= s <spa= n class=3D"awspan">muestra que el TCE leve repetitivo</spa= n> puede causar un da=C3=B1o neuronal temprano<s= pan class=3D"awspan" style=3D"letter-spacing:4.45pt"> que,= aunque no = afecta directamente a las c= =C3=A9lulas </= span>ciliadas, provoca una = degeneraci=C3=B3n del ganglio </sp= an>espiral, esto sugiere<span= class=3D"awspan" style=3D"letter-spacing:0.8pt"> que </spa= n>los mecanismos d= e <span= class=3D"awspan">da=C3=B1o auditivo son</= span> m=C3=A1s complejos de</spa= n> lo que se pensabaEsta revista est=C3=A1<s= pan class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spac= ing:-0.2pt"> protegida bajo <s= pan class=3D"awspan" style=3D"font-size:8pt; font-style:italic">una<= span class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spa= cing:-0.2pt"> licencia Creative </spa= n>Commons= en la <= span class=3D"awspan" style=3D"font-size:8pt; font-style:italic">4.0= International. Copia de la licencia: <a = href=3D"http://creativecommons.org/licenses/by-nc-sa/4.0/" style=3D"text-de= coration:none"></a><a href= =3D"http://creativecommons.org/licenses/by-nc-sa/4.0/" style=3D"text-decora= tion:none">http://creativecommons.org/= licenses/by-nc-sa/4.0/</a>D i<= /span> a g n =C3=B3 </s= pan>s t</sp= an> i c <= /span>o M =C3=A9<s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-s= pacing:0.45pt; color:#ffffff"> d</spa= n> i c</spa= n> o<= /span>P = =C3=A1 g i n a </sp= an>27 | 33<img src=3D"data:image/= jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8= LCwkMEQ8SEhEPERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA= 4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/w= AARCARhAxkDASIAAhEBAxEB/8QAHAABAQACAwEBAAAAAAAAAAAAAAECCAMGBwQF/8QAWBABAAED= AwAECAsDBgsGAwkAAAECAwQFBhEHEiExExQXQVFVlNIIFiJUVmFxgZKT0TI3dBWRobGysyM1NkJ= Sc3WChMHTGCQnM6LDJWJyJkNFRmOjwuHw/8QAGwEBAQEBAQEBAQAAAAAAAAAAAAECAwQFBgf/xA= A1EQEAAQMCBQMBBgUEAwAAAAAAAQIDEQRSBRMUMZESIUFxMzVRYYHwFSJCodEGIzKxNMHh/9oAD= AMBAAIRAxEAPwDpoD+lPxQANEosoAAECSqSLKAKgAkkJPeE94pIACT3Is9yAABAkqkiysBAIkos= oKkrHckrHcqACCSEiwACglXmVKvMCEhIIAKAJJAAQsJKLKKSACD9HDteCt8z+1V2y+XCtde51qo= +TT/W/RYmWK5+BjPeyYz3sswANKAAJKpIAAADIAKgAqsZCQPgAlCEqnsYkiNQkosoKMZ7e1ap8z= GGKpy1TAksuWNTDeQFpjsIgmQWYRqUhJ7wnvAAASUVBRJUnu5QYVT5mE9yzPM8pPc5z7ukIkwqp= gliLKfZ2osLTT1qo9Dk+5KY6sfWy5daacQ5VVe76AHocAAaJRZQAAIElUkhZQBUB9uBpebm4Odn= Y9masbAt03Mi5PZFMVVRTTH2zM931T6Hb+jros17fGi3tV0vO02xZs5E4805FdcVTVFNNUzHVpm= OPlR/S897VWrNM1VziOzrbs13JxTDoU96PY5+DxvD1tof5t3/AKZ/2eN3+ttD/Nu/9N5f4tpN7t= 0N/a8cOXreV8H/AHxZpmbWTo2R6KaMiuJn8VEQ6JuzZe59rXONc0jIxrfPEXojr2pnzcV08xz9X= PLva12nvTiiuJlzr0123GaqXX57kWe5HrcAAIElUkVYAESUWU5gWElY7klY7lQAQSQkWAAUEq8y= pV5gQkJBABQBJIACFhJRZRSRaYmqqKYjmZ7kfZgWv/vao+qlJnDMziH02aIt24pjzd7MHNyGM97= JjPeLAA0oAAkqkgAAAMgAqACqxkJA+BJWUSSElJhkiNMZRlLCe/hJnCwkx28oyYzDm3EiSqSKR3= s0pjiFVBOFFGEwMp704BAQCUVEX4GFc89jKZ4hxpVKwhCjnhtAEBaKeZ59COWmOIappzOSZSUZV= MeJdXPD6QHVxABolFlAAAgSVSSFlHPp2HlajqGPgYVmq/k5FyLdq3T31VTPEQ4GxXwZ9gzh4kby= 1SzHh8imY0+irvotz2Tc+qau6Pq+15Nfq6dLamue/wAO+msTfuRTD6N57OxdlfB71LTbc03Mqvw= NzLvRH/mXJuUc9v8Aox3R/wD3L7fgm/u6zv8Aa1z+6tP3/hDTHkk1iP8AVf3tL8D4Jv7us7/a1z= +6tPy1Vyq5oaqqu81f+n26aIo1VNMfg9T1vVcDRdMvanqeTTjYlmIm5dqiZinmYiO765h1WOljo= 9nj/wC02L+Cv3XF0/8A7pNc/wBXb/vaGnTpwzhlGstzVVMxiWdbra7FcU0w3m0Ddm29fqmjR9bw= c2umOardq9E1xHpmnv4+5+nnYuNnYl3GzLFvIx7tM03LdymKqao9ExPe0MxMnIw8q3lYl65Yv2q= oqt3LdXVqpmO6Yluf0S7hvbo6P9L1fJqpqyq7c28iYjjm5RVNMzx5ueOfvcuI8MnR4rpnMNaTWR= qM01R7tcOnfYNGy9ft39Opq/kjP5qsRM8zarj9qiZ9HbEx9U/VMvN23PwktMtZ/RVnXqrcVXMK7= ayLc+emetFM/wDpqlqfpUzTqeLNNm1fmL1HFu9zNFfyo7KuO3ifPw/QcJ1VV/TZq7x7Pl66zFu9= iO0vedP6O8Kvoyo29XoVVWu5GlVanGp+Kz1aLvXiqjH8Jx2VdXsmOfNM+d0jb3Rxo2dtjb+rapu= m9p97XMivGxrNOnzdiLkXJoiJqiuO/iPNHe9Kubc6b691U6/Tq2k0RExP8n05t6MTiKerx4P0T3= 9/f2vl1HY3ShmWtIteKbUsW9J1CvPxrdm7dinwlVybk0zz/m8zMREcdnnfJt6qujMc2Pec9/r7f= 9PbVYpn+ifb2dH0Dojrz8/VsHLz9Qt3NPz6sTwuPp/hbVcRETFXWmunie3mae3jsfp6T0c7Z0zT= d9YW48+u5l6NNiLeXasVT4CiunrU3IoiviqaueJpnu6vf2ubeWsdJG0IzLm5Ns6Jm6fnZ3jkVXL= NV6xavcRT8maa4mn7Kvr4878nae6N+7n3BuTU9I21pesRqduxTqWHctc2OKKerbmIqrie6mrzz5= /q49M16u7RNfrj0+3aY/JyxZomKfT7vjwejrQ6NO0S/rW6b2De1+5VTptu3gzcjq9aIoruT1o46= 3NPZ5ut9U8fTp3RRh0xkU63uSvBu29bjR7UWcKbsXblUUzRVz1o4iet9z5r2+Nz7UvWdC1vbeiX= crSrs3cOnMx+vXhTX8uIommrjiOYmO/js9Ecfi0dIm4PFqbV+nEya41mjWartyietXfpiOIniYj= qdndERPomHoijX1xmmr2+sf2/RxmrTU94di3H0V4Gn2cy5p25pz69O1CxhZ1m5gzamibtVMRMT1= pir9qP1fqal0c0a/u/WsOa68K1pVy3i0fyZpEeBqiaIq5nm5z1uZ7eZqn6+50zL6SNcyKtXm5i6= fH8rZtnMv8AFuv5NdqYmmKfldkT1Y555+52La28d87o1DW7OnbY0fXIzr1Gbk4l6zM27VcUxRFV= PNcT3RHfM/c5XLeuop9VVXb5zHzhuivTVTiI7uldI21ruzt15GhXcujL8FTRXRepo6nWpqjmPk8= zxP3y69Hc7V0sZu4s/eV+/ujTLGnal4K3TVYsxxTTTFPyZ/aq831v1dS6JN1afs+rdF+5p04NON= TkzFN6qa+pVETHZ1e/tjzvqWtTTRao51UZn+7x12Zqrq9Ee0OgAPY86SEuy9H+ydY3vn5OFo1eL= Tdx7UXa/D3Jpjjnjs4iWLl2i1TNVc4iG6KKq5imnu60P2d6ba1HaWv3dF1WbE5NqimqqbNc1U8V= RzHbMR6X4zVFdNymKqZzEs1UzTOJEq8ypV5m0QkJBABQBJIACFhJRZRRnZom7ciiPv8AsfqUxFN= MUx2RHY4cK14O11pj5VTnYqlyqnMgDLIxnvZMZ7xYAGlAAElUkAAABkAFQAVWMhJIfCSIqSsAIg= lUsOGVU9qcszLpEIKkwipwcKSQSACZABUnvRZ70CA4AVEmGTGqeIQYVT2sPOySYYlqEARUAjtng= wZZW457XIkRxHBzx3ukRhMkosoqPoAdXAAGiUWUAACBJV9eiaXm61q+LpWnWpu5WTci3bpj0z55= 9ER2zM+aIZqqimJqntDURMziHcOhLYte9N00+M0VRpOFMXMuru6/+jbifTV/VE/U2+tWrdm1Tat= UxRboiKaaaY4imI7oh1/o72rh7P2xjaNh/Kmj5d+757tyf2qv+UeiIiHYrlNU0TFM8Tx2TL8NxH= Wzqr2fiOz9NpNPFi3j5+XgXwot60xTRsvAuc1VdW9n1R5o76Lf/wDKf93637/wTv3dZ/8Ata5/d= WnUel3oks6Lt/Vt3X9w5efmeEi7cpuWaaYrqrriJ7Yns/adu+Cb+7rP/wBrXP7q09t+bP8ADoi1= Off3+rzWuZ1ea/wdl6f/AN0euf8A0W/72hpy3F6f/wB0muR/8lv+9oadPof6f+xq+rycV+0j6Da= j4LMV+TOvr89X+ULvU+zq0f8APlq/p+Hl6jm2sLAx7uTk3qurbtW6Zqqqn7Ibo9Fm3Lm1th6Zo1= +KPGLVua780zzHhKqpqq7fPxM8c/Ucfu08mKPnJwqieZNXw+bpr6kdFm4ev3eKTx9vMcf08NN9I= /xrh/6+j+1Da34Smq2sDoszMeqvi7nXbdi3T56vlRXP9FMtUtI/xrh/6+j+1DHA6ZjTVz++zXEp= ib9MN1OkvW8vbexdT1vAptV5OLaiq3F2JmiZmqI7YiY9PpeCYPwhN228u3XmabpF/HiqPCUUW66= Kpjz8VdaeJ+viXtHTt+6XX4//AEKf7dLTXlw4No7OotVTcpz7uuv1Fy1ciKJbx41ek732Xbu1Wq= b+nariczRVxPEVR2xPoqpn+aYeC9COl720ncm6tJ2xe0SL+Feox8urUKbkxV1a7kUzR1Psq7/qe= udAGNkYnRHodvJoqorqouXaaZ/0a7tdVM/fExP3ut9C1dFzpV6SKqOOPHqI++K70T/S8NqqbVF6= 3T7xH+Xprp9dVuqe/wD8eI9MFjX73SZnY+s04l/V7k2aaqcCmubdUzbp6sUxV288cfe7BonQPvj= UcSnIvzpunTV3Wsm9V1+PTMUU1RH8/L0fRNLx874UOu5d+iK5wMK3dtRPmrm3bpif5pqfJ8InpF= 3HtjXMLRNAyacPrY0ZF69FumqqrmqqIpjrRMRHyZ83n/n+nTrtRXy9PYxE4h4p01qn1XbucZdSn= 4PG8PWuh/m3f+mw6GdG3noe/twaNt6/ok5+Ha8Fk15nhJtVRFcfsdWOe/08PSfg37p17dOjatf1= 3UK825YyKKLc1UU09WJp54+TEPzeiT9/e/Ptq/vIcLur1E03bV6Yn0x+H5w60WLUTRXbzGXQt3b= N3fvbpfztH1HK0W3q9vBoyLldqblNiaIiiIiOYmrn5Uebh7zuHbObqPRZc2pZvY9OZVp1vFi5XM= +D61NNMTPMRzx2eh4T066/rG3OmnUM/RM65hZNWHZtTXRETM0zTTMx2x6Yj+Z7VurV9SxOhS5re= PmXLeoxpVq9F+IiauvNNMzV6O+ZcdVzposTGMe2Pq3Y9EVXInv8tcd49GGubW1nRtLz83Trt7V7= 3gbFVmuuaaautTTzVzTHZzVHdy7THweN4T/+LaH+bd/6bote4t57x3BpVq5n5Oo6nZvx4hHVp5o= rmYnmOIjz0xPb2dj3HE2f0212KK8jf+HYuT30RHW6v1c+DfT1Wo1Onppiq5TE/P7w8di1ZuzMxR= Mw803J0Gb20fTq8614hqdNuOa7eJdqm5EeeYiqmOfsjmfqfvfBE/ys1r+Bp/tw9v6PdO3XpmlXs= XdusY2rZHhetZvWqJpmKOI+TV2R5+f53mvQvYtY3TnvqxZoii3TVc4pjujm7y8FXELmo0923cmJ= x8x9XqjS0WrtFdPtl5v8Jj97Wd/D2P7EPNHpfwmP3s538PY/sQ80foeG/wDi2/o+Vq/tqvqJV5l= SrzPc86EhIIAKAJJAAQsJLmwrPhLvWq/Zp73DxM1RER2y/Ux7cWrUU+fzkzhmqcOSUWUc3IAAYz= 3smM94sADSgACSqSAAAAyACoAKrGSe4knuRWKopCQMap4VjPektQhMAy2ncvIiC8dqSpKiAAAIM= Z7xZ70FiQAUcVc81M654jhxyzKgDOCEk4UGssWVuOO1IjmeHJDVMM1SANJCTCLKA+gB1cQAaJRZ= QAAIGy/wbtgxo+lRunVLURqGbb/7tTVzzasz5+PTV3/Zx6Za36bk04efYy6sazkxarivwN6Jmiv= jt4q4mJmPveqf9oHedNMU0adoNMRHZxj3ez/9x8rilrU36OXZj2nu92juWrVXruNit367iba25m= 61mz/gsW1NXHnrq7qaY+uZ4j72ts9Pe+pqmYp0uI57I8WmeP8A1PwukDpQ3JvXTLOm6pRg2Ma1d= 8L1cW3XR16oiYjrc1TzEcy6O8/D+D00UTOopiZddVxCqur/AGpxDv8Au3pc3ZubQcjRdSjA8VyO= r1/B2Jpq7KoqjiefTEPYPgm/u7z/APatz+6stYHfOjzpS1/ZGi3dK0rD02/Zu5FWRVVkW65q600= 008fJqiOOKY8ztr+HxVp+Xp6Yj3y56XVYveu7Pw251XTsHVcC7gali2srFu8eEtXaYqpq4nmOY+= 2Idfjo62LHExtTSPvxqXhX/aF3l6r0L8m7/wBRJ+ELvH1ZoX5N3/qPiUcJ11PtT7fq+lVr9NV3/= wCmxmj7f0LR5qnStIwcGqqOKqrFimiZj0TMQ+nU8/D0zAu5ufk2sbGs09a5cu1RFNMfa1e1Hp73= 1lWposRpWFP+lYxpmr/11VR/Q6JubdW4ty3Yua5q+Vm9Xtporq4opn6qY4iP5nW3wLUXKs3Zx/d= ividqmP5Idn6cN/fHbcNNOF16dJweaMaKo4m5M/tXJ+3iOI80fXMujaR/jXD/ANfR/ah889yUzN= NUTTMxMTzEv01rT02bXKo7PjV3ZuXPXU3t3TomHuPQMrRc+q5GLlURTcm1VxVxExPZPb6Hn2J0D= bEsZNu7XGpZFNE8zbuZPyavqniIn+lrHGu63651H2mv9Sdd1uY4nWNQ4/ia/wBXw7fBtTaiaaLu= In6vpVcQs1zmqjLb/pF3pomw9uVVVXLEZFNnweFhUTHWrmI4piI81MdnM+aPuh5f8EnIu5Oqbqy= ci5VcvXfF67ldU9tVUzdmZn75eBXbly7XNy7cruVz31VTzLlw87NwpqnDzMjH6/HW8Fdmjnju54= 7/ADvRRwaKNPVbir+ar5c6tfM3YrmPaPh7vqu7MXaPwmdTzNQueDwcqzaxr9fHMURVbtzFX3TTH= P1TLvnST0caH0kU4eqWtUnHyLdrqWsnH6t23ctzPMcxz2988TE+fztWtAxLu491abp2XmXfCZ+V= ax6r9czXVT1qop57Z7eOe76nvWJ0A3sSmacTfWfj0z5reP1f6rjx6yxb0tVExc9NcR+Dvp7tV6m= qPRmmZd66Jdg29g6fm4lvU69Q8bu03Jqqs+D6vEcccczy6Z0Sfv6359tX95DuWz9DwujXbOdd1j= ct/Ntzcm9cycuvq9WIp4iimJmfRPd2zMtUtzbiydR3dq2t6ffycOM7KuXaYouTTV1JqmaYnifRw= 4aPT16uq7HqzmO/6uuou02Io9u3w7d8Jqf/ABZzf4ez/Yh77oWPg726GcLTreX1LWbpdvHruW+K= ptVxTETHHpiqO76mnWVkZGVem9k37t+5PfXcrmqr+eXLhZ2dhRPieZkY/Pf4K7VTz/NL69/hdVy= xboirFVLwWtbFFyqqY9qntej7PwuiXpT21k6rrlrLx87w9vw04/gqbNXU6tMz8qrvmqI57OHq/S= VtHWt114VzRt45uhU2KaorpsRM03eeOJnq1U9scT6e/wA3n09zc7NzerOZmZGTNHPV8Lcmvjn0c= y5cfV9Wx7cWrGp5tq3T3U0ZFVMR90S5XuF3rlVNya/5o/JujW26ImmKfafzbj9Ge1tX2thZljV9= z5OvV37kV27l+Kom3ERxxHWqqdB6If39b8/+qv8AvYa8TruueudR9qr/AFcFnUdQsZFzIs5+Vbv= Xf/MuUXqoqq+2YnmWKODXMV+quM1R+DVXEKc04p7PQvhMfvazv4ex/Yh5o5MnJyMq9N7Kv3b92Y= 4mu5XNVU/fLjfa0tmbFmm3M5w+deucy5NX4iVeZUq8z0OaEhIIAKAJJADK1RNy5FEechX0YFrmr= wtUdkdz7UopimmKYjiIZMTOXGZzKSiyiIAAMZ72TGe8WABpQABJVJAAAAZABUASVVCQkVioiJCV= SxWe1GZagFRFyEKiqEgggvCSNZABMJPeiygAJVJKsKu2eUZJLm2nCKAgcLTHM/UBTHHayU4dGEA= FhJRZQR9ADo5AA0SiygAAQJKpJCygCoAEkJPeE94EiKAk9yLPcgAAQJPcqSKytV127lNy3XVRXT= MTTVTPExMeeJfb/LOr+tc72iv9XwwMzRTV3giqY7ObMzMvLmmcrKv3+r3eFuTVx/O+dZRYpiOyz= Mz3SVjuSVjuaZAEEkJFgkAUEq8ypV5gQkJBABQBJIR+hhWupb69UfKq/oh8uJa8Ld7f2Y7ZfpMz= LFU/CgMsJKLKAAAMZ72TGe8WABpQABJVJAAAAZABUEmFFViSSSCMap8ysZ70lYQBGl8yLPciILx= KMlViMphEVAAJRU4RYE4UBjPYwZ1T5mPDMtQgJwirwxXkMCM6Y4hKI5llMLTBKcqxOWmMrKEgpK= cKCOYc3imX82ufhk8Uy/m9z8Ms9Ra3R5OTc2y4RzeKZXze5+E8Uyvm9z8J1FrdHlrk3NsuGUc84= mV82ufhTxPK+bXPwnUWt0eU5NzbLhHN4nlfNrn4TxPK+bXPwnUWt0eVizc2y4Ulz+J5Xza5+FJw= 8v5td/CRqLW6PK8m5tlwDn8Ty/m1z8MniWX82u/hleotbo8pybm1wDn8Ty/m138MnieX83u/hlO= otbo8kWbm2Xzz3jmnCy/m138MnieX82u/hleotbo8nJubZcI5vE8v5td/DJ4nl/Nrv4ZOotbo8n= JubXBPcjnnDy/m138MniWX82u/gk6i1ujycm5tlwDn8Syvm138EniWX82u/gk6i1ujyRZubXAkv= o8Syvm138EpOFl/Nrv4JOotbo8rybm1wwOfxLK+bXfwSeJZXza7+CTqLW6PKcm5tl88o+icLL+b= XfwSeJZfza7+CTqLW6PK8m5tfNKx3ObxLL+a3fwSsYWX82u/gleptbo8pybm1wD6PEsv5td/BKe= JZfza7+GU6m1ujycm5tl88jnnCzPm178EniWZ81vfglY1NrdHlZs3NsuAc/iWX82vfhk8Sy/m17= 8Er1FndHlOTc2y4EnzPo8Sy/m178Ek4OZ82vfgk6izujycm5tl8w+jxHM+bXvwSTg5nza9+CTqL= W6PJybm2XzD6PEcz5re/BKeI5nzW9+CTqLO6PK8m5tl869szxEczL9vTNobq1PG8Z07buqZdjrT= T4S1jV1U8x3xzEP0sLo+3rFc117U1mOO7nDr/RidXYj+uPJybmP+Mvxce1Fq3FPn88uV2H4i70+= iuseyV/ovxE3p9FtY9kr/AEY6uxvjy5ci7tl10di+Iu9PotrHslf6HxE3p9FtY9kr/ROrsb48nI= u7ZdclHY52JvT6Lax7JX+ifETen0V1j2Sv9Dq7G+PJyLu2XXR2L4ib0+iuseyV/ofETen0V1j2S= v8AQ6uxvjyci5tl11j53ZfiJvT6K6z7JX+jH4h71+ius+yV/odXY3x5WLFzbLrg7H8RN6/RXWfZ= K/0PiJvX6K6z7JX+jXV2N8eV5FzbLrg7H8RN6/RXWfZK/wBD4ib1+ius+yV/onV2N8eTkXNsuuI= 7J8RN6/RXWfZK/wBE+Ie9forrPslf6L1djfHk5FzbLrg7H8Q96/RXWfY6/wBD4h71+ius+x1/on= V2N8eTkXNsuuJy7J8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHk5FzbLrg7H8Q96/RXWfY6/0PiHv= X6K6z7HX+h1djfHlORc2y64Ox/EPev0V1n2Ov8AQ+Ie9forrPslf6L1djfHk5FzbLrQ7J8Q96/R= XWfY6/0Sdh71+ius+yV/onV2N8eWuRc2y61PenDsnxD3r9FdY9kr/Q+Ie9forrHslf6HV2N8eTk= XNsutTHZ2I7N8Qt6fRXWPZK/0Sdh71+iuseyV/odVY3x5Xk3Nsut98I7J8Q96/RXWfZK/0T4hb1= +ius+yV/odVY3x5OTc2y64yh2H4hb1+ius+yV/ofEPev0V1j2Sv9DqrG+PJybm2XXkl2P4ib0+i= useyV/oTsTen0V1j2Sv9DqrG+PJybm2XWx2P4h70+ius+yV/ofEPekf/lbWPZK/0Oqs748rybm2= XXB2L4ib0+i2seyV/ofETen0V1j2Sv8AROqs748rFq5tl1ye9JniHZJ2JvT6K6x7JX+jjq2PvLn= j4r6v7JX+h1VndHleTc2y66OwfEfeP0Y1f2Sv9D4j7x+jGr+yV/ox1FrdHleTc2y6+xdi+JG8fo= xq/slf6J8R94/RjV/ZK/0Ootbo8nKubXXk4dh+JG8foxq/slf6M6NibzqjrRtbV5j+Er/Q6i1uj= ycq5tl1+I4jgl2P4ib0+i2seyV/ok7E3p9FtY9kr/RrqbO6PJyrm2XW+xOHZPiJvX6K6x7JX+h8= RN6fRXWPZK/0XqbO6PKcm5tl1yCYdj+Im9PorrHslf6HxE3p9FtY9kr/AEOps7o8nJubZdbHY6t= ib0+iuseyV/onxF3p9FdY9kr/AEOps7o8pybm2X6PAD8C/WgAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAD79v6Vla5rWLpOHTzfybkUUzPdTHnqn6ojmZ+x8D3n4P20/ENKr3Hm25jJzKerjxP= fTa/wBL7ap/oiPSg9G25pGJoeiYulYVHVs49EUx6ap89U/XM8z979EiOBAAAAAAAAAAAAAAAAAA= AAAAAAAcVc8yzrniOzvcYJwjIBiLwgJMCgIkxyvADHjhO9mkwDHhGRwDDgZcJPcDivVdSjmO/wA= z4/O5r1XXrmfNHZDjmBWExDGaWcwA4+IThyTDGY4US3RNdcUx53300xTEUxHEQ48S31aetMdsud= FYpLLhBEJXhBMJwjJOBUlOIZSgNRAGkAAAAAADl+1tbFx9Qp1PT68eLmVcw6rmHVH7VNy3MVzEf= bRFcfbw7PG29OqysKIxaJtaPdm1rU01TPhOra8NVM+jmabtv/dp88g8+OXctH0zS8/B03WrmNTR= j4l3I/lK1RMxE00R4W3H1daJ8H/ux5zWNP0rS8bUNWoxaLuPlZdidNtXJnjwVVMXq/t4iaKJ+2Q= dNHoVe2NPs39QsXMejjVbtVGi1TVPyafBeGpmPTz17VH31eh1nc2HaxKMLDx8Oqi9i4VurOucT2= 3bny+30cRVRT9sA/Dct+xXZtWrlVdqqLtPWpii7TVMRzMcVRE80z2d08T53bNcr0jQ8qNCo23j5= seL26qsu7cuReu1V24q69E01dWKYmeyOrPZHa59O0HTM7L2xau0UWreRpt7JyO2qJvVW670xE9W= JntiimPkxzx3RyDo47nuCjbuVoGVkY06RayseqjwP8m2sziqJniabk3aer3czE8xPZL9CbG3692= 2tq29vYtFrJot0VZc3Lk3qLldqKutT8rqxETPdxPPH1oPPHLTYrnFqyYrtdSmuKJpm5TFfMxM9l= PPMx2d/HDsmLGnaNtfT9Tu6NjapkZ927FVWVNfg7NNuYp6sRRVHyp55mZn0cQ4rmLh5e2NSzsbT= Yxrs6pYt2bfXmubdFVFyepEz2zHMR39vZCjrZ//ALveh5ek6VXpuqadXjaFZzcDDru8Yd3IuZFu= u3x1uvXMTant5iY5757H5moXNK0W7i6RG2cbUPCY1m5cyrly5F6/NyiKubU01RTTETV1Y7J/Z7f= Og/A1XSbun6jn4dV6xXOFX1a6puRTNfbx8mmZ5n7I5fnO77ixMa/rO9712x1rmNMVWZrj5VEzfo= pn7+JmHz6jc0rRqsTSPi1j5/hcazcuZNdy7F69NyiKubUxPFMRNXEfJnu7QdVosV141zIiq1FFu= aYmJuUxVPPPdTM8zHZ2zEdjG7buWa+pdt126+Inq1RxPExzH88TEu5a1p+nadc3Jes6faqjT9Vs= UWbV6KpiKObnNE8TzxPViJ7eezvfRr1yjWt5YuJRomk26LOLZyL1XhLlqmq3GNRXPhKpqniimO7= jieI75lR0S1T4S7TbieOtVFPP2vs3Bptej65naXcu03q8W/VamumniKppnjnh2jcmHpdzRcPVcG= 3pVF2jUIxq503w8WqomnrcT4aP2o476eztfl9I1q7O+NfvRbrm1TqF2ma+rPViZqniOfT2T/Mg6= 6cw7xqEaNo+uWNufFrHz7dUWabmTcruRfvTcppnrUTTVFMR8rsjie6OUu4Gk7ewtduXtOx9WvYO= rxh49V+qqKOrxc5mqKZjn9mOznv+xR0gdy1W5pOheJafO3MTUJycW1k3ci7cuxXXN2mKuLXVqiK= Yp56sTxPbHa/I3zh42n7sz8PDsVY9i1XEUW6u+mOrE8T9YPxAAAAAAAIiapiKYmap7ojzg7P0Z7= Xubq3RZwqomMO1/hcqvjuoif2ftqns/p8zaaxat2LVFq1RTRbopimimmOIpiO6Ih1Dom2rG19sW= 7d+iIz8ri7lT54njso/3Y/pmXcmQAAAAAAAAAAAAAAAAAAAAAAAAJEq5nsBhM8zyizCAnHApwCB= MAJMIyAYizCAgpwCJwoDFxX6urTxHfLmmYiOZfLXM1VTIsOLhJhnwgrCYSYZzCcA42Vqjr1xHm8= 6zD6LNHVo+ue2RJZ+bgAQAFSYRkTAMeEZIIgvCA1CAaAAAAAAH06ZnZemahY1DBvTZybFcV264i= J4n7J7J+9z2Na1Wzb1C3azblNOpRxlxxE+Fjnrdv3893pmPPL88B9mJqediadmafj5E28bNiiMi= 31Ynr9Weae3jmOJ57jN1PPzcHCwsrIm5j4VNVGPRMRHUiqeZjsjme30vjAfoX9b1a9Vp1VzNuVT= ptNNOHzEf4KInrRx6e30+iI7ohlk65q2RVqU3s2uqNTqivMjiIi7MVdaOeI7OJ9HH8z80B+zjbp= 3Bj4EYVnUq6bVNE26Jmimblumf82muY61Mds9kTD469W1KqcGrxuumrAo6mLVRxTVajrTV2THE9= 9Uzz39r4gH6usbh1nVrMWc7M69qKuvNFFui3FVX+lVFMR1qvrnmXDTrGpU6zb1inJ4zrc0zRd6l= PZNMRTT2ccd0R5nwAP09H1/V9Js12MHL6lmuetVauW6blHW7ut1a4mIn64jlx5WsanlWsi1k5ly= 9Tk36ci9NfE1V3KYmIq63fHEVT2cvgAfuZO7dw5Niuxe1GaqLlubd3i1RE3aZiYnrzFPNc8T31c= zHmYYO6NfwsGjDxtRqptW4mLczbpqrtR6KK5iaqP92YfjAPvv6zqd+5n3LuT1q9Q48amaKf8ACc= VRVHm7O2Ins4dq0TOro0nEt0b6x8TGooiK7d7EqnJx/wDSptVRRVMR38cVU/ZHa6MA/Y1/XcjUN= Q1auxVVbxNQy/GJtVUxM9k1dTme/mIqnuSNya3FWDXTm9W5gUdTHri3RFVNPHV6s1cc1Rx2cVcx= x2PyAH6up7h1jUrUWszLiu1Tcpu026bVFFFFVPPE000xER+1PZHf5+XHn65q2dby7eVmVXKMzJj= Kv09WmIruxEx1uIjs757uIfnAP2sPde4cTDpxMfUq6bdFPUt1TbpquW6fRRXMdamPqiYfmxnZca= dc0+Lv/drl2m9XRxHbXETETz391U9j5wHd9v51y3o+Nas73xcKxRH+Es5OJVVex557fAzFFX2xx= VT2+h1zdmpWtY3JnalYpuU2b92arcXP2urxERz9fEdr8sAAAAAAAel9A2051fXp1vMtz4np9UTb= 5jsuXu+I/wB3v+3h5/o+n5WrapjabhW5uZGRciiiIj0+efqjvmfREtr9paJjbd0HE0nEj5Fijiq= vjia6v86qftlJH60RxACAAAAAAAAAAAAAAAAAAAAAAAABLGFn0AITCgjCYRmkwKxOFnsQEFJgES= YUBOEZJwCJwqVTERMyDhvzPHVj73C5J5meZ70mIkWGEpMMpiUFY8Jwz4SY8wFmjrV8z3Q+hLdPV= piPP52QyicLMAMRknAIAAnCgqIyOAa3+TPfHqK5+db948me+PUVz8637zaAXKNX/Jnvj1Fc/Ot+= 8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/ACZ749RXPzrfvHkz3x6iufn= W/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TP= fHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav8Akz3x6iufnW/eP= Jnvj1Fc/Ot+82gDI1f8me+PUVz8637x5M98eorn51v3m0AZGr/kz3x6iufnW/ePJnvj1Fc/Ot+8= 2gDI1f8AJnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj= 1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPf= HqK5+db95tAGRq/wCTPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQ= Bkav+TPfHqK5+db948me9/UVz8637zaAMjyroT2Hl6FdydY1zGiznTzax7c1RVNFP8AnVdnZzPd= 9kT6XqpxHogQAAAAAAAAAAAAAAAAAAAAAAAAAAEmFBEADIAGE4SYZAZYIzmEmBWKcMkBBU4AcN6= fldWO5yV1cRy4e8GKTDLhBWKTHLNOAYcSzs08zz6CI5nhzU08RxAJwKCMTheAGIpwDHhJZAMRZh= AAAfoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= gpwJ7oEwAAAnDGYZgMEZTDC52QK4655q+qGEwzlAYDKYSYBjMehGREczwC2qe3nj7HIccAInDIB= iLwnAJwjIBicLwgIKkwCcHCgPuAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAOAEwkwKSCAgo4qp608s657OHHwJhJSWRwKx4RlwnAMeGVuniOfSR= HayAOABBU4AABJhGQDEXhASUZJMAnBwqA+0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJ445VjX2iYYTzyjJOBWPBwoDEmF4POBTCgCcIyA= Yi8IAnCgIKnACKAnCMkQQ4ZU0zVVEQ5vB0ehRmAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABMseFnvBGMwkwzSYDLBJhnMJwKxWIAE4FAQJA= E4UBOEZJwCC8IBwigIkspgopmqrjzA5LNPEcz3y5OfqAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJVJAAAAEwJMKAxmE4ZpwKwFmAEOABOO= BTgEAASYUBiMkmARzW6eI+1x245q+qHNAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgnHCn3ggqcCgAAAgnCgMOEZpMCsRZhACYAEFSYA= BlbjmeQZ0xxCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAJg4SVAQAXIAGAATCJMMgMsOEZ8JMCsRZQDjlyUxxHEJRHnZAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAACJMCgIHCCqAAAInCcdrIgFAFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAO04ARBUDIAKR2qQAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAHHaAmAAUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AmU5fkbu3Hpe19LjU9YvV2cTwlNublNE19WZ7uYjt4YbZ3PoW5sa5f0LU7ObTa4i5FHMVUc88cx= MRMd09/oa5dfp9WPZiblMVenPu/a5OWq1vpe3roOu5+PGfb1DGt5VyKbWXR1uIiueyKo4q7vrbI= 7M1ivX9radrNePGPVmY9N2bcVdaKZnzc+d6dVobumiKqu0vNptbb1EzTT3h+z5uSJ5dO6Yd31bI= 2Hm63Zooryommzi0V/szdqniOfTERzPHn4eDbL0bpw6QdMr3HibvvYWLeuTFqq/m3LNN3iZiZoo= t0zEUxMTHdH1PI9jarkeG5WD0j7J6MLtOq9IGlYesXdXpqt6hm3671qLE2uPBc3LVUxVNVMzx1f= v8z07B3Fp+kbJ0nVNzbg06nwuHZm7m1XIotZFybcTNVHMRzFU8zEREdnmgHZB1XTekXY+pVZFOB= uXAyJxsevJvRRXM9S1RHNVc9ndEPmp6VejqqqKY3fpfMzx23Jj/kDuY+LK1fS8XSf5WydRxLWn+= Di541Xdpi11Z7qutzxxPMPwNN6SNi6nqFjTsDc+n5GXfri3atUVzM11T3RHYDtg8p6LN1alas7l= 1DeG/ND1jBwq7c0V4nERiUzVXExc4tUds/Jj/O7pdlsdKXR5evUWqN36V1q54jrXurH889kA7iJ= TVTXTFVMxVTMcxMd0qAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAADy/wCE5+7G5/F2v+bqXwR+7c3/AA3/ALrtvwnP3Y3P4u1/XL= qXwRv2dzf8L/7r7Vr7sq+v+HxLv3jT9Hie5P8AKHUv4u7/AG5be9EP7sdv/wADR/U1C3J/lFqX8= Xd/ty296If3Zbf/AIGj+p6uNfYW/wB/Dz8H+3ufv5dD+GBjX7/Rfi3bVM1UY+qWrl3jzUzbuUxP= 4qoj73Yvg46jg53RFotvEv267mLbqs37dNUTVbriursqjzc9/wBku5bm0TT9x6Fl6LqtiL2Hl25= ouU88THniYnzTE8TE+mHgWb8GOvxu7Vp28PB48zzRTew5muI9EzFcRP28R9kPzb9G7V8MCf8Awt= xv9q2v7u68d6UMvJzNf2Fpl/TsnVMTH29p82sC1VVE5M1URNUR1YmeZ4insjn5L1ijoLyqejC9s= 6rc1mq7c1enUIyZxZ4iItdTqdXrffzz9z9je3Q1i7k0Lb1q1rN7Tta0TBs4lrOtW+YrptxHHNPW= iY7YmYmKuznzivP9sY2NOi7xrp6KMzaVdvbGfNObeuZExXPUiPB/4SIjmYmZ9PyX42wdibY1b4P= mvbozdPmvV8SMmbORF2uJp6lFM09kTxPb9T1HQeineGLa1bH1jpFzNWxtQ0vJwabN6m5VTRVdo6= sXOJrmJ47X6u0+jK/oXRJquxatYt37mfF+IyosTTFHhKYj9nrdvHHpEa769m5eR0NbD0i7l3KMK= /qGb4Tmrsjq3KIp/m8JXx9rZTbnQ/sHRM7C1LT9GqpzMOqm5avVZFyqrrR3VTHW45+516joP0/J= 6LsTZ+p6rNzKwsi7kY2fZs9WaJrntiaJmeae7mOY7o7YfPszoh3hoGv6Zm3ekjPzMDCvUVThzF2= mi5RT/mcTcmIjj6uAeadE2p6JpG0OkrL3Fg1ahp/hseivFprmnw1U3LvVp5ieYjrcdvoj7nXN3V= afnbOu52n9EWZodiuKLlrVqb+RctUUzVEd9VPVmKu7v75h7hoHQZbxNu7o0XUtc8Yt65ctXbdyz= j9SrHrt1VVUzxNU9btqj0d0+l+Fe6BN23dH/kW50l5NemRTFEYlVi5NrqxMTEdXwnHETEcfYD0n= oAy8jN6H9u5GVdqu3IxqrfWq7+rRcqopj7qaYj7ne3XOjPbde0Nkadty5l05dWFTXTN6mjqRX1q= 6qu7meP2uHYwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAeX/Cc/djc/i7X9cupfBH/AGdzf8L/AO67b8Jz92Nz+Ltf1y6l8Ef9n= c3/AA3/ALr7Vr7sq+v+HxL33lT9Hie5P8otS/i7v9uW3vRD+7Hb/wDA0f1NQtyf5Q6l/F3f7ctv= OiGf/DHb38DR/U9XGvsLf7+Hn4P9vc/fy7NnV1W8DIuUTxVTaqmJ9ExDVLYm6OnPe3js7d12rIj= Cqoi914x7fV6/W6v7VMc/sy2r1P8AxZlf6mv+zLX34Fn/AJW7P9Zi/wBV5+bfo4fNsTpR37t3pK= s7Q6RqvC05N2ixVNy3RFdmqv8AYrpqojiqiZmOe/7uJeoba1nduT0raxpeoZej16FZornFtWL9q= rJpmJp469EVdaI7Z74jzPFfhN128zp10jGwZivJoxsWzXFM9sXJvVzEfbxVT/PD7sXUcnSOnLpL= 1PDq6uTi6TmXbVXHPFcRb4nj6pBsVnbk2/p+TVjZ+u6Xi3qe+3ey6KKo+2Jnl1rpG3RmfE69n7G= 1nQr+ZayLdFV29mWvA0xPPMTVNUUxPojl4r0KdFW3977JzN0biy9QyM25lXojwd+Kf2YieapmJm= apmZnnn0OmaHER8H/c9Md0a3iR/wCmoHs/TdvzXdv9F+3snA17Dxdx5FePVmU4tdq51qarNc11U= x2xNE1xHFUdnd2vS9qbq0jM2liajka7p1ybWJYqzbvjNHFquumP25ieKZmrmO3jta9dN+29Lt9C= +yN1027n8qXMPAwaq+vPV8F4tXXx1e7nmO93bL2z0d7G6FcnM1TEzq8PW8bCqy7Nq/M3L92ni5R= TRM9lPbNUz9UT9gPXMfde2Mm/RYxtxaReu1zxTRRmW6qqp9ERE9rzLpX3duLSOmnZ+habqdzH03= Pmz4zYiimYuda9NM8zMcx2dnZLwLeU7Mu7fjJ27s3cek3+vTVby8nIm5Zqp9Hd5+Y4mJ9DvWtZu= VqO/uh/Nzb1V/Iu4GFNy5VPNVc+GmOZnzzPpBtTAQAAAAAAAD8PfG4MbbW28rVL/wAqqinq2aP9= O5P7Mf8AOfqiXgHlU33zP/xqI+rxWz7gNmxrJ5VN9+u49ks+4eVTffruPZLPuLgbNjWTyqb79dx= 7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/Xcey= WfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTff= ruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367= j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyq= b79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+= /XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsay= eVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHl= U3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbN= jWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9= w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcM= DZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZ= LPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz= 7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79d= x7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNgIAAAAPL/hOfuxufxdr+uXS= fgp52FiVbioyszHsVXZxvBxduxTNXHheeOe/vh7zq+mafq2L4pqeFj5mP1oqm3eoiqnmO6eJfkV= bE2ZMdu19In/AISj9Hvt6ymnTTYmO85y+dd0lVWpi9E9vhrruLok31d1LNzsTSrWXYu37lymbWV= b5mmapmOyZh6F0e9It3auiYW3t57c1TR7WHbps282rHrm3VEeers7Pu5ek2NlbYxuZw9IsYcz3z= i1VWZ/nomJc8bdtW4mnG1LU7duqOKrdzInIoqj0cXet2fZw6XuIc+iKLsZiP0Ys6CbNc125xMvt= sZeJrGj13tOy7GTZv2qot3bdcVUzzHHfDWvTPg/9JGmzd/k3dmmYXhJia/F8zIt9bjnjnq0Rzxz= P873jE2dj6ZkXM3Rb9Om5NUzM02LfVsXezs8Ja56sz/81PVn63Z8abk2om7TTTc4+VFM8xz9T51= WM+z6VE1Y93h3RZ0E39A3RZ3LurWLWpZuPc8LZs2Yqqo8J5q6q6+2qY74jiO2Inme5+3onRdnWe= ljc259Uv4ORpGtY17H8Woqr8L1bnU5ir5MRHZTPdPnetJMcstNVq9nZ+1bmda2X0y6BjaZc5uV2= bupRbrniJ7Jpp60TPHZzHHPofN0PbM1Pe/Q9uLR9Ov41i7d1excpu5E1RRPUo5qj5MTPPyo8z2S= voG6Na7lVyrRsiaqp5n/AL7e7/xO97b0DSNt6Ta0nRMG1hYdrnq26OZ5nzzMz2zP1zMyK6HvXoz= ydzdD2jbNuZ9jH1DS7ONNF6Imq1VdtWptzE9kT1Ziqrt457ux1ux0R7y1Xo+z9r7t3VjZUW6sev= SK7XWuU4824rpmmrmmmZiYqpjvmY4+rt7rujU83P3nZ0rCuX7GNptrwmfNNVdEVTdpmLcxNMTz1= erNXFUxEzMejs65rd/eutZ1i9GHrODHgZt0049FVvwXhOrz1p5+XVT16O2eI5t3PNPLtRYmr5ee= q/jtDquq9EfTBqm3adu5+9tIyNLt00UU49ddziIo46kcxa57OI879+50Sa/Xruws/wAf0zwe3Mb= Hs5Udevm5Nu5NUzR8ntjifPw7Bcyt5YOhYFjBwL1zxm1NNyK4u1XLHWimmOZqmaoqpmvv7qot1T= ERzD6NG1HdOu61gWNS0vK0/CouU5VdUW6rfbFuKvBVVTPyoiq5THPEczbq7OJ7HJnGcrzo7YeiU= qlKuLsAAAAJVPCuidM27I25tmbGLd6uo5vNux1Z4qt0/wCdX90dkfXMegHlXTduyNwbknT8S51s= DT5mimY7q7ndVV/RxH2c+d5+faKACgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAADdABkAAAADgAODgAOCIiO4AAAAAfLXp2Bczac65hY9WVTTFNN6bUT= XERPPEVd/D6erT6FBMJ1Y9BFMQoKAAAAATPAOLMyLGLi3cnIuU27Vqia66qp7KaYjmZaqdIG5L2= 6dzZGp1zVFjnqY1uf8AMtx3R9s98/XL0/4Qe6/A41G18K5/hL0RczJj/No76aPv75+qI9LxBYAB= QAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABugAy= AAAAAAAAAAAAAAAAAAAAAADG5+yANXemD94+sf62n+xS6mCgAoAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//9k=3D" width=3D"793" height= =3D"1121" alt=3D"" style=3D"margin-left:-1pt; position:absolute" /><= span style=3D"height:0pt; display:block; position:absolute; z-index:25"><im= g src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= H/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBA= QEBAQEBAQEBAQEBAQH/wAARCAAbAE0DASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAABwUG= CAkKAgT/xAApEAABBAMAAQQCAgIDAAAAAAAFAwQGBwECCAkREhMUABUKFiEiGCUy/8QAFwEAAwE= AAAAAAAAAAAAAAAAAAAECA//EACkRAQACAAYBAwMFAQAAAAAAAAECEQASITFBUQNxkfATImEyga= HB8dH/2gAMAwEAAhEDEQA/ALAbx6gFUHCruua3rKsFMMDvK/BjZu2mcwdmDZDW+LBBRGGRYS3M6= bOyDrRuPBR8MxTTQatUEUk9Go5nvujzW3N/m+6DizK0o6FqbmeLnGqRiK1tedm26ftJ0HdJ4cMN= Zg3jZduPhxR033S3cDFMvXg7ffZF4gi4TUQ1DjUFHp95X/HtX1jtGj+vMdg+QCyRAYpjTcPIbgr= E/dUprRB6grn4FnkcMMk5QE13122/asENE9d9lM6ZcD3yLdzI0R2hNAl83CT7Urt/ZDeV8go8yO= CkS5trYN0fXsL2s8JJW8FS+6+iVIF5XN443LyCQNp+mOeGmjF21EKI75QhG5S1Va1V6/c29TGEP= GOaaqynLmVVZ0n5DeivTHcTv/oqsb6R5H7biswo6/zAR/JqzMArSmcgqO9I6I2/7l9WUpWKtt1i= oVPbRcvGSCSRhmh7190fj11yoSWJnproe4bApHmWTvI8ypSLBZX0HfVjy+ekINWmZQyfFYrBQQN= jJWDmY2KcCMFpAuLw/Yj4+Eci3pV3osWHN1mF5GZrA7Y8aNMXvGulpv1VN6i8idFo863tPapzVU= rLE5OeZx2YQmOqpxeHpS6OrRAhJ3hMoNE5HkHUc0YPfsPY5ndB78/T6q4QO8jXAnQBpKuMd1OJV= cHPFklXbIKIs0zJaNhVYyylxUkKbIimtiRArWwwuCjT9ym5PBZfs5EJqrNXSP4EIxnu/cLlWyzL= w+51V+k/SieWm0lBlWaVWINFrrduv8XgftJJ1jV1HVv1jM7KK3NyzOZElFJjJGidg1PbVEE3koV= iI0xY0FdziRMlYo8K/RWXfJP2bwWFLhzLhtuye/Lp4Zl0nI5b0Xjk+sOi67qGaBq2dW9Zln37c8= hDRWBwJogs9xkPH1pgJfTGSKjGrs45HNXrVsGjzfcyTX0bKoZ3APKsIiPEfgmeePSS5Jp9w972b= cZUnz2SeiSk4rlmYsJhVyNlyEKIcO14pXounKlhk+SOG9m6T82a2RGLrOHCLNKQEAhXKzqy+v8A= mbsOrqIlqnW4qt57yjL+icaAa4K27X1QDKoJVgpZSOiJuEyfdyAFycQmDKMCxYWXL6CcPXbdZv8= AhljnC6qN5RDkD8/7d4bCB5IRuhtY5mmq4sdSzfbCGPuO44dSy/W4XqSOdh8fxmfK17c9h1i9sW= Bz2jHO0n/q7SdyOJuZiabG63cOXIo8qTaKtSDWEGB0ty2WH7OstyXOLWuKVTKa11T1hsYKIp6t0= 7h6S6LuGxZ3pU9BVw51eKBnBFgOkCL+Uy6TpCyboJH2jlsjoOYOHzt1jZRk2dxFuvPcPOXJ9wcq= Z6Fqo4968aTzmioPHdI5Nv0TYcBqGVR4hUhu3x12JZZy6PxCFi/t2XGSVgJEhI6JtI4D2cInd8M= 2xUBs4PXAHsnjW3Fa70U7RgNGlucZbeshMwqoLJtujGIRq7o2cT8SQFbxM0fzFhRuItXxRFscWI= k09ESe7RYU/piZxXcdO6y+9b/5gfH4zyRjdXGX25nVMtCK8Mni67MeOM9GWI3gkxvSuevYx2vR1= Rrx9XohjBGVzUzdlHxOULKIjLWVgM2O4cS2tNMprOnZVog2zqIbuSLN07+i7R10HeLWVGpMn0u1= eSo/IwY6wK9fRz9wfJyBJk2PVXHXbvIpwYdPlWrIhugi+2bNlE2m7lRd5hHDh04VVoL6GmthjrX= 6E6Cv2CVXTF59F8AN/HFzHxTVNsxa47Cswkdlw6SnbqmOYcq5YgK6r9qL1RZHjCnwiophdu9eNy= WGg97dz4co+tE490FFnK/2nEbNUkBXc+u2cOFxFKxwestrnbGNs6qqN9t9c5xjOdc49cev4yo+S= KB+mWxVbb12aGnBi4wgebxxrRjNYqpplRpdxd8YfLn8j7Cddx9D8v29KRnOz6hO4b8kfLPUcc0d= fs6pt6HdDT4jGy01TWV2bLRQ5ursHkGc4SHJs1vcV1wOwuu31HVX51OrYRChQK+vHVP7qm2g9m3= Y2/ypOIJKams7OqOmjWTN9Cb5uTiTQtrjV2okRw4bMsLb6Jb7I667Zx8d28w0aZ7f7IMEoP8AYI= leqehCRBxiSy9D7D19bcudOl/hbn0kEsquFVFPjRSTS093tT000xrrgZxSFMYAJ3AweR2dEAm+m= +mREbuO2gw3Gu+ce/2MR81QbJ529c+uyaeu2fXP+fxhW2h13t3eKp3jVNNN6e3Zv+e8XG+VDyg2= VLJXAL769GQytlqaIPpVyF4+4zLh01Oa2a7HOBjG8egzwPfA9vvFxzp6lHGDVPVBsu9dNhqi7h0= R11hBzj5KeufJO9sWn1Kh5OKB4dCmE7NCrXjsvPAiiT2ewyuhDFiPFi5KvkqtI5yFxo6UZoIMmm= rt2q8SwjjXeAZfmelz5B0XOxUiaKvVdlnhMtN58RIO1tv/AEq5ePJQs4XU29Meu6qm22fT/Ofwl= 0/AYzRBY6cqJEvBS0kCpRw29ESmU7KkAyRoVI27RXD0y7T02ZyAAENMXSOiTxgUFMXzNwg5bpqa= jEUUFNn5898GSK5pBKXb1pxtxg82F3r0B4843AZZG6E4fizS/GDyRQzepB7/AAamMIDNxjF9MCm= G6LMkOBDZ3tKaq3YSDdkUTsOs7FD6CsJRvd85enP3ks7b8kGLCqePUFyzPUYtHBUmMwuxGBR63P= jnskGR5XUGLeakUipQQkRWPOWaOmj79KLKOGOrhyho2VhXMaSrifN4k0mYkxJW8Fj5CLRBMtNJu= 6wAjxWay6xiQphtvI/fo1fTmeTGUOdd9t91S8iJudt85X9NV2rawiNMF8yKqdJJADuXgF/+3jE6= nQx/h5GTjORgXGrlCSYV1UFnB7Mk1zrtj2uW+mdsba+7XM5IXeUvv56YX0vHd5I2c1rx/wAMSGs= LvK7PHu2RUjlJ8PRGeHcif7fC6wikxHTAGIkYnSSwwgfOLR8WDKDpJHV2RtmzDyQquLSetUCrNg= 9wogi4OffK71p5AJHKqKWqrlR8xRhD+Yv4/ZwaSn2EqQHHY6CRj0aiTBnITEvlaz6SsyDYIEDvi= qQQaeON0FEwy+uY6WHG2VsRYDCbHISqYxWNkHhIMGNTeZuG7R883Wyo4331P6OHe6WrhdFlh6s5= 1GtllGo/Vq23yllCqisIZSZ97J6sYk4abJiVQBJ4NlEqW1IB1iA0v9B60fmnjJ0igYDhzLLK7ZT= dgZECy7HduRHM3KLyR00NNTDfHBczEs0Hn5pg6T7ubp3x5x+qLAZ8gcm1mn0FGjhYUQhMLNBjaG= I0WQYkYrJ13TMWSYlUGD2OSNQFsptq2ESEGq8SbPt1WrfXr/Fu67nvbvPHWd12GHj8dkX/ACIAR= HZhGk3Wo3LIDUkNWar41drKrYXUySVwr/v7c4109uMemfXFvacXZ3SNbjLaMTexB7A44kg9nLbG= sA0gNNvhYwG+IDU3kmUwOVfCw4tq+0ZfAi8+g2WcpKuEtVfzZ5/FUraF1lyF0YLhAbIRiR6Ry/e= IYJFiXzO8VjBm+FflLP36yfoiknp8aSmiX+vu9nvzttkyR3ovDIRi5gpqr5r+sf/Z" width=3D= "77" height=3D"27" alt=3D"" style=3D"margin-left:441.05pt; position:absolut= e" /><svg font-family=3D"Times New Roman" font-size=3D"16" hei= ght=3D"41.33" version=3D"1.1" width=3D"209.31" xmlns=3D"http://www.w3.org/2= 000/svg" style=3D"width:209.31px; height:41.33px; font-family:'Times New Ro= man'; font-size:16px" xmlns:xlink=3D"http://www.w3.org/1999/xlink"><defs />= <g><g><path d=3D"M0,0 L209,0 L209,0 L209,41 L209,41 L0,41 Z" fill=3D"#7c7c7= c" fill-rule=3D"evenodd" /></g></g></svg><a h= ref=3D"http://www.anatomiadigital.org/" style=3D"text-decoration:none"><spa= n class=3D"awspan" style=3D"font-family:Ebrima; font-size:11pt; text-decora= tion:underline; letter-spacing:-0.1pt; color:#ffffff">www.anatomiadigital.o= rg</a>ISSN: 2697-3391<s= pan class=3D"awspan" style=3D"color:#ffffff">Vol. 8 No. 2= .1, pp.<span= class=3D"awspan" style=3D"letter-spacing:-0.2pt; color:#ffffff"> <s= pan class=3D"awspan" style=3D"color:#ffffff">19 =E2=80=93 33, abril -</spa= n> </= span>mayo 2025 Revista en ciencias m=C3=A9dica= s, salud p=C3=BAblica Art=C3=ADculo de revisi=C3=B3n bibliogr=C3=A1fica.</s= pan>inicialmente.<span= class=3D"awspan" style=3D"letter-spacing:-0.6pt"> En </sp= an>contraste, Bansal et = al. (1), demuest= ran <s= pan class=3D"awspan">que, a pesar<= span class=3D"awspan" style=3D"letter-spacing:-0.6pt"> de que una gran </span= >parte de los paci= entes = presenta resultados normales </= span>en pruebas = de <sp= an class=3D"awspan">otoemisiones ac=C3=BAsticas,<sp= an class=3D"awspan" style=3D"letter-spacing:0.75pt"> un grupo significativo desarrolla p=C3=A9rdida auditiva leve o mode= rada tras un TCE. (1,15).Mientras <= /span>que Penn et<= /span> al. (15) se centran = en los meca= nismos </span= >celulares del da= =C3=B1o </spa= n>auditivo, Bansal et al. </spa= n>(1) destacan que= <span= class=3D"awspan">muchos pacientes con</s= pan> TCE leve presentan<= span class=3D"awspan" style=3D"letter-spacing:2.95pt"> p=C3=A9rdidas auditivas recuperables.<s= pan class=3D"awspan" style=3D"letter-spacing:0.95pt"> Esto= indica que, aunque </sp= an>el da=C3=B1o = neuronal </sp= an>sea un aspecto<= /span> clave, tambi=C3=A9n es crucial </s= pan>considerar el potencial = de recuperaci=C3=B3n= en los pacientes.<sp= an class=3D"awspan" style=3D"letter-spacing:-0.25pt"> Por= otro lado, Clifford= y= Ryan (16) = vinculan </sp= an>al TCE con</spa= n> una alta incidencia= de tinnitus y p=C3=A9rdida auditiva, un aspecto</span= > no abordado por Penn </sp= an>et al. lo</span= > que a=C3=B1ade otra<sp= an class=3D"awspan" style=3D"letter-spacing:2.15pt"> dimensi=C3=B3n a las complicacion= es auditivas post-TCE.(1,15,16).La= evaluaci=C3=B3n y<spa= n class=3D"awspan" style=3D"letter-spacing:0.7pt"> diagn=C3=B3stico de la hipoacusia <= /span>en pacientes c= on <spa= n class=3D"awspan">trauma craneoencef=C3=A1lico (TCE)</span= > es= crucial para abordar </= span>adecuadamente las complicaciones auditivas. Por<s= pan class=3D"awspan" style=3D"letter-spacing:0.15pt"> un </= span>lado, el estudio de <s= pan class=3D"awspan">Bansal et al.<s= pan class=3D"awspan" style=3D"letter-spacing:0.2pt"> (1) </= span>destaca la util= idad <s= pan class=3D"awspan">de la audiometr=C3=ADa= de tonos puros<span= class=3D"awspan" style=3D"letter-spacing:0.2pt"> (PTA) como herramienta inicial</span= > en la evaluaci=C3=B3n<= span class=3D"awspan" style=3D"letter-spacing:2.25pt"> de la hipoacusia,<span= class=3D"awspan" style=3D"letter-spacing:2.25pt"> aunque = subraya que las otoemisiones ac=C3=BAsticas por</spa= n> productos de distorsi=C3=B3n= <span= class=3D"awspan">(DpOAE) son m=C3=A1s</s= pan> confiables en el seguimien= to, <s= pan class=3D"awspan">especialmente para = p=C3=A9rdidas= auditivas superiores= a= 30 Db, est= o <spa= n class=3D"awspan">es especialmente relevante en <= span class=3D"awspan">pacientes poco cooper= ativos = o inconscientes, y= a <span= class=3D"awspan">que la DpOAE reduce la cantidad de falsos= positivos y negativos. (1).En </sp= an>contraste, la = investigaci=C3=B3n de Clifford<s= pan class=3D"awspan" style=3D"letter-spacing:1.85pt"> y </= span>Ryan (16) enf= atiza = la importancia de<= /span> los antecedentes de expo= sici=C3=B3n, = como el rui= do <sp= an class=3D"awspan">en combate y<s= pan class=3D"awspan" style=3D"letter-spacing:4.15pt"> las = lesiones cerebrales traum= =C3=A1ticas, = como factores iniciales = para determinar la </spa= n>presencia de tin= nitus = y p=C3=A9rdida auditiva<span= class=3D"awspan" style=3D"letter-spacing:0.15pt"> a </span= >largo plazo. Al</s= pan> igual que Bansal<spa= n class=3D"awspan" style=3D"letter-spacing:0.15pt"> et </sp= an>al. (1) utilizan= el audiograma como</span= > prueba complementaria para = estratificar = la p=C3=A9rdida auditiva, pero enfatizan<span= class=3D"awspan" style=3D"letter-spacing:0.25pt"> que </s= pan>la evaluaci=C3=B3n de antecedentes debe ser prioritaria antes de realizar pruebas diagn=C3= =B3sticas. (1,16).La</= span> hipoacusia relacionada con</= span> el trauma craneoencef=C3=A1= lico <= span class=3D"awspan">(TCE) requiere un</sp= an> enfoque de tratamiento que</s= pan> integre diagn=C3=B3sticos = precisos </sp= an>y estrategias = de <sp= an class=3D"awspan">intervenci=C3=B3n adecuadas.<sp= an class=3D"awspan" style=3D"letter-spacing:-0.6pt"> Por un lado, el = estudio </spa= n>de Bansal et</sp= an> al. (1) sugiere<sp= an class=3D"awspan" style=3D"letter-spacing:0.45pt"> que <= /span>la rehabilitaci=C3=B3n= temprana es crucial, especial= mente = para aquellos paci= entes = que presentan una<= /span> p=C3=A9rdida auditiva = superior </sp= an>a 30 dB. Este<= /span> <span= class=3D"awspan">umbral se asocia= con la necesidad<span= class=3D"awspan" style=3D"letter-spacing:-0.15pt"> de </s= pan>intervenciones m=C3=A1s<= span class=3D"awspan" style=3D"letter-spacing:-0.2pt"> intensivas para mitigar comp= licaciones </s= pan>a largo plazo.= Adem=C3=A1s, destacan la</= span> importancia de utilizar</sp= an> la otoemisi=C3=B3n ac=C3=BAstica por </span= >productos de distor= si=C3=B3n </sp= an>(DpOAE) como una<= /span> herramienta confiable en</s= pan> el seguimiento, lo que permite ajustar el tratamiento basado = en datos objetivos. (1).En <= span class=3D"awspan">contraste, Clifford & </span= >Ryan (16) enfati= zan <s= pan class=3D"awspan">la relevancia de</= span> analizar los anteceden= tes <= span class=3D"awspan">de exposici=C3=B3n a = factores </spa= n>como el ruido</spa= n> en= combate y = lesiones </spa= n>traum=C3=A1ticas. Aunque<sp= an class=3D"awspan" style=3D"letter-spacing:2.4pt"> no proponen un tratamiento<sp= an class=3D"awspan" style=3D"letter-spacing:3.6pt"> espec=C3=ADfico, su investigaci=C3= =B3n <s= pan class=3D"awspan">indica que comprender<= /span> estos antecedentes es fundament= al para predecir la evoluci=C3=B3n = de la hipoacusia<= /span> y = el riesgo de desa= rrollar </span= >tinnitus. Esto = implica </spa= n>que, antes de</sp= an> iniciar un tratamiento,</spa= n> se deben evaluar<s= pan class=3D"awspan" style=3D"font-size:8pt; font-style:italic">Esta= revista est=C3=A1 </sp= an>proteg= ida bajo una </s= pan>licen= cia Creative Commons en la 4.0 </spa= n>Interna= tional. Copia de la licencia: <a href=3D"http://cr= eativecommons.org/licenses/by-nc-sa/4.0/" style=3D"text-decoration:none"></= a><a href=3D"http://creative= commons.org/licenses/by-nc-sa/4.0/" style=3D"text-decoration:none">http://creativecommons.org/licenses/by-nc-sa/4= .0/</a>D<= /span> i a g n <s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#f= fffff">=C3=B3 s</spa= n> t i </= span>c o<= /span> M =C3=A9 d i</sp= an> c oP<= /span> =C3=A1 g i <sp= an class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-sp= acing:0.5pt; color:#ffffff">n </spa= n>a 28 |</s= pan> 33<img src=3D"data:image/jpeg;base64,/9j/4AAQ= SkZJRgABAQEAYABgAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFhw= XExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh= 4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCARhAxkDASIAAhEBA= xEB/8QAHAABAQACAwEBAAAAAAAAAAAAAAECCAMGBwQF/8QAWBABAAEDAwAECAsDBgsGAwkAAAEC= AwQFBhEHEiExExQXQVFVlNIIFiJUVmFxgZKT0TI3dBWRobGysyM1NkJSc3WChMHTGCQnM6LDJWJ= yJkNFRmOjwuHw/8QAGwEBAQEBAQEBAQAAAAAAAAAAAAECAwQFBgf/xAA1EQEAAQMCBQMBBgUEAw= AAAAAAAQIDEQRSBRMUMZESIUFxMzVRYYHwFSJCodEGIzKxNMHh/9oADAMBAAIRAxEAPwDpoD+lP= xQANEosoAAECSqSLKAKgAkkJPeE94pIACT3Is9yAABAkqkiysBAIkosoKkrHckrHcqACCSEiwAC= glXmVKvMCEhIIAKAJJAAQsJKLKKSACD9HDteCt8z+1V2y+XCtde51qo+TT/W/RYmWK5+BjPeyYz= 3sswANKAAJKpIAAADIAKgAqsZCQPgAlCEqnsYkiNQkosoKMZ7e1ap8zGGKpy1TAksuWNTDeQFpj= sIgmQWYRqUhJ7wnvAAASUVBRJUnu5QYVT5mE9yzPM8pPc5z7ukIkwqpgliLKfZ2osLTT1qo9Dk+= 5KY6sfWy5daacQ5VVe76AHocAAaJRZQAAIElUkhZQBUB9uBpebm4OdnY9masbAt03Mi5PZFMVVR= TTH2zM931T6Hb+jros17fGi3tV0vO02xZs5E4805FdcVTVFNNUzHVpmOPlR/S897VWrNM1VziOz= rbs13JxTDoU96PY5+DxvD1tof5t3/AKZ/2eN3+ttD/Nu/9N5f4tpN7t0N/a8cOXreV8H/AHxZpm= bWTo2R6KaMiuJn8VEQ6JuzZe59rXONc0jIxrfPEXojr2pnzcV08xz9XPLva12nvTiiuJlzr0123= GaqXX57kWe5HrcAAIElUkVYAESUWU5gWElY7klY7lQAQSQkWAAUEq8ypV5gQkJBABQBJIACFhJR= ZRSRaYmqqKYjmZ7kfZgWv/vao+qlJnDMziH02aIt24pjzd7MHNyGM97JjPeLAA0oAAkqkgAAAMg= AqACqxkJA+BJWUSSElJhkiNMZRlLCe/hJnCwkx28oyYzDm3EiSqSKR3s0pjiFVBOFFGEwMp704B= AQCUVEX4GFc89jKZ4hxpVKwhCjnhtAEBaKeZ59COWmOIappzOSZSUZVMeJdXPD6QHVxABolFlAA= AgSVSSFlHPp2HlajqGPgYVmq/k5FyLdq3T31VTPEQ4GxXwZ9gzh4kby1SzHh8imY0+irvotz2Tc= +qau6Pq+15Nfq6dLamue/wAO+msTfuRTD6N57OxdlfB71LTbc03MqvwNzLvRH/mXJuUc9v8Aox3= R/wD3L7fgm/u6zv8Aa1z+6tP3/hDTHkk1iP8AVf3tL8D4Jv7us7/a1z+6tPy1Vyq5oaqqu81f+n= 26aIo1VNMfg9T1vVcDRdMvanqeTTjYlmIm5dqiZinmYiO765h1WOljo9nj/wC02L+Cv3XF0/8A7= pNc/wBXb/vaGnTpwzhlGstzVVMxiWdbra7FcU0w3m0Ddm29fqmjR9bwc2umOardq9E1xHpmnv4+= 5+nnYuNnYl3GzLFvIx7tM03LdymKqao9ExPe0MxMnIw8q3lYl65Yv2qoqt3LdXVqpmO6Yluf0S7= hvbo6P9L1fJqpqyq7c28iYjjm5RVNMzx5ueOfvcuI8MnR4rpnMNaTWRqM01R7tcOnfYNGy9ft39= Opq/kjP5qsRM8zarj9qiZ9HbEx9U/VMvN23PwktMtZ/RVnXqrcVXMK7ayLc+emetFM/wDpqlqfp= UzTqeLNNm1fmL1HFu9zNFfyo7KuO3ifPw/QcJ1VV/TZq7x7Pl66zFu9iO0vedP6O8Kvoyo29XoV= VWu5GlVanGp+Kz1aLvXiqjH8Jx2VdXsmOfNM+d0jb3Rxo2dtjb+rapum9p97XMivGxrNOnzdiLk= XJoiJqiuO/iPNHe9Kubc6b691U6/Tq2k0RExP8n05t6MTiKerx4P0T39/f2vl1HY3ShmWtIteKb= UsW9J1CvPxrdm7dinwlVybk0zz/m8zMREcdnnfJt6qujMc2Pec9/r7f9PbVYpn+ifb2dH0Dojrz= 8/VsHLz9Qt3NPz6sTwuPp/hbVcRETFXWmunie3mae3jsfp6T0c7Z0zTd9YW48+u5l6NNiLeXasV= T4CiunrU3IoiviqaueJpnu6vf2ubeWsdJG0IzLm5Ns6Jm6fnZ3jkVXLNV6xavcRT8maa4mn7Kvr= 4878nae6N+7n3BuTU9I21pesRqduxTqWHctc2OKKerbmIqrie6mrzz5/q49M16u7RNfrj0+3aY/= JyxZomKfT7vjwejrQ6NO0S/rW6b2De1+5VTptu3gzcjq9aIoruT1o463NPZ5ut9U8fTp3RRh0xk= U63uSvBu29bjR7UWcKbsXblUUzRVz1o4iet9z5r2+Nz7UvWdC1vbeiXcrSrs3cOnMx+vXhTX8uI= ommrjiOYmO/js9Ecfi0dIm4PFqbV+nEya41mjWartyietXfpiOIniYjqdndERPomHoijX1xmmr2= +sf2/RxmrTU94di3H0V4Gn2cy5p25pz69O1CxhZ1m5gzamibtVMRMT1pir9qP1fqal0c0a/u/Ws= Oa68K1pVy3i0fyZpEeBqiaIq5nm5z1uZ7eZqn6+50zL6SNcyKtXm5i6fH8rZtnMv8AFuv5NdqYm= mKfldkT1Y555+52La28d87o1DW7OnbY0fXIzr1Gbk4l6zM27VcUxRFVPNcT3RHfM/c5XLeuop9V= VXb5zHzhuivTVTiI7uldI21ruzt15GhXcujL8FTRXRepo6nWpqjmPk8zxP3y69Hc7V0sZu4s/eV= +/ujTLGnal4K3TVYsxxTTTFPyZ/aq831v1dS6JN1afs+rdF+5p04NONTkzFN6qa+pVETHZ1e/tj= zvqWtTTRao51UZn+7x12Zqrq9Ee0OgAPY86SEuy9H+ydY3vn5OFo1eLTdx7UXa/D3Jpjjnjs4iW= Ll2i1TNVc4iG6KKq5imnu60P2d6ba1HaWv3dF1WbE5NqimqqbNc1U8VRzHbMR6X4zVFdNymKqZz= Es1UzTOJEq8ypV5m0QkJBABQBJIACFhJRZRRnZom7ciiPv8AsfqUxFNMUx2RHY4cK14O11pj5VT= nYqlyqnMgDLIxnvZMZ7xYAGlAAElUkAAABkAFQAVWMhJIfCSIqSsAIglUsOGVU9qcszLpEIKkwi= pwcKSQSACZABUnvRZ70CA4AVEmGTGqeIQYVT2sPOySYYlqEARUAjtngwZZW457XIkRxHBzx3ukR= hMkosoqPoAdXAAGiUWUAACBJV9eiaXm61q+LpWnWpu5WTci3bpj0z559ER2zM+aIZqqimJqntDU= RMziHcOhLYte9N00+M0VRpOFMXMuru6/+jbifTV/VE/U2+tWrdm1TatUxRboiKaaaY4imI7oh1/= o72rh7P2xjaNh/Kmj5d+757tyf2qv+UeiIiHYrlNU0TFM8Tx2TL8NxHWzqr2fiOz9NpNPFi3j5+= XgXwot60xTRsvAuc1VdW9n1R5o76Lf/wDKf93637/wTv3dZ/8Ata5/dWnUel3oks6Lt/Vt3X9w5= efmeEi7cpuWaaYrqrriJ7Yns/adu+Cb+7rP/wBrXP7q09t+bP8ADoi1Off3+rzWuZ1ea/wdl6f/= AN0euf8A0W/72hpy3F6f/wB0muR/8lv+9oadPof6f+xq+rycV+0j6Daj4LMV+TOvr89X+ULvU+z= q0f8APlq/p+Hl6jm2sLAx7uTk3qurbtW6Zqqqn7Ibo9Fm3Lm1th6Zo1+KPGLVua780zzHhKqpqq= 7fPxM8c/Ucfu08mKPnJwqieZNXw+bpr6kdFm4ev3eKTx9vMcf08NN9I/xrh/6+j+1Da34Smq2sD= oszMeqvi7nXbdi3T56vlRXP9FMtUtI/xrh/6+j+1DHA6ZjTVz++zXEpib9MN1OkvW8vbexdT1vA= ptV5OLaiq3F2JmiZmqI7YiY9PpeCYPwhN228u3XmabpF/HiqPCUUW66Kpjz8VdaeJ+viXtHTt+6= XX4//AEKf7dLTXlw4No7OotVTcpz7uuv1Fy1ciKJbx41ek732Xbu1Wqb+nariczRVxPEVR2xPoq= pn+aYeC9COl720ncm6tJ2xe0SL+Feox8urUKbkxV1a7kUzR1Psq7/qeudAGNkYnRHodvJoqorqo= uXaaZ/0a7tdVM/fExP3ut9C1dFzpV6SKqOOPHqI++K70T/S8NqqbVF63T7xH+Xprp9dVuqe/wD8= eI9MFjX73SZnY+s04l/V7k2aaqcCmubdUzbp6sUxV288cfe7BonQPvjUcSnIvzpunTV3Wsm9V1+= PTMUU1RH8/L0fRNLx874UOu5d+iK5wMK3dtRPmrm3bpif5pqfJ8InpF3HtjXMLRNAyacPrY0ZF6= 9FumqqrmqqIpjrRMRHyZ83n/n+nTrtRXy9PYxE4h4p01qn1XbucZdSn4PG8PWuh/m3f+mw6GdG3= noe/twaNt6/ok5+Ha8Fk15nhJtVRFcfsdWOe/08PSfg37p17dOjatf13UK825YyKKLc1UU09WJp= 54+TEPzeiT9/e/Ptq/vIcLur1E03bV6Yn0x+H5w60WLUTRXbzGXQt3bN3fvbpfztH1HK0W3q9vB= oyLldqblNiaIiiIiOYmrn5Uebh7zuHbObqPRZc2pZvY9OZVp1vFi5XM+D61NNMTPMRzx2eh4T06= 6/rG3OmnUM/RM65hZNWHZtTXRETM0zTTMx2x6Yj+Z7VurV9SxOhS5rePmXLeoxpVq9F+IiauvNN= MzV6O+ZcdVzposTGMe2Pq3Y9EVXInv8tcd49GGubW1nRtLz83Trt7V73gbFVmuuaaautTTzVzTH= ZzVHdy7THweN4T/+LaH+bd/6bote4t57x3BpVq5n5Oo6nZvx4hHVp5ormYnmOIjz0xPb2dj3HE2= f0212KK8jf+HYuT30RHW6v1c+DfT1Wo1Onppiq5TE/P7w8di1ZuzMxRMw803J0Gb20fTq8614hq= dNuOa7eJdqm5EeeYiqmOfsjmfqfvfBE/ys1r+Bp/tw9v6PdO3XpmlXsXdusY2rZHhetZvWqJpmK= OI+TV2R5+f53mvQvYtY3TnvqxZoii3TVc4pjujm7y8FXELmo0923cmJx8x9XqjS0WrtFdPtl5v8= Jj97Wd/D2P7EPNHpfwmP3s538PY/sQ80foeG/wDi2/o+Vq/tqvqJV5lSrzPc86EhIIAKAJJAAQs= JLmwrPhLvWq/Zp73DxM1RER2y/Ux7cWrUU+fzkzhmqcOSUWUc3IAAYz3smM94sADSgACSqSAAAA= yACoAKrGSe4knuRWKopCQMap4VjPektQhMAy2ncvIiC8dqSpKiAAAIMZ7xZ70FiQAUcVc81M654= jhxyzKgDOCEk4UGssWVuOO1IjmeHJDVMM1SANJCTCLKA+gB1cQAaJRZQAAIGy/wbtgxo+lRunVL= URqGbb/7tTVzzasz5+PTV3/Zx6Za36bk04efYy6sazkxarivwN6Jmivjt4q4mJmPveqf9oHedNM= U0adoNMRHZxj3ez/9x8rilrU36OXZj2nu92juWrVXruNit367iba25m61mz/gsW1NXHnrq7qaY+= uZ4j72ts9Pe+pqmYp0uI57I8WmeP8A1PwukDpQ3JvXTLOm6pRg2Ma1d8L1cW3XR16oiYjrc1TzE= cy6O8/D+D00UTOopiZddVxCqur/AGpxDv8Au3pc3ZubQcjRdSjA8VyOr1/B2Jpq7KoqjiefTEPY= Pgm/u7z/APatz+6stYHfOjzpS1/ZGi3dK0rD02/Zu5FWRVVkW65q600008fJqiOOKY8ztr+HxVp= +Xp6Yj3y56XVYveu7Pw251XTsHVcC7gali2srFu8eEtXaYqpq4nmOY+2Idfjo62LHExtTSPvxqX= hX/aF3l6r0L8m7/wBRJ+ELvH1ZoX5N3/qPiUcJ11PtT7fq+lVr9NV3/wCmxmj7f0LR5qnStIwcG= qqOKqrFimiZj0TMQ+nU8/D0zAu5ufk2sbGs09a5cu1RFNMfa1e1Hp731lWposRpWFP+lYxpmr/1= 1VR/Q6JubdW4ty3Yua5q+Vm9Xtporq4opn6qY4iP5nW3wLUXKs3Zx/dividqmP5Idn6cN/fHbcN= NOF16dJweaMaKo4m5M/tXJ+3iOI80fXMujaR/jXD/ANfR/ah889yUzNNUTTMxMTzEv01rT02bXK= o7PjV3ZuXPXU3t3TomHuPQMrRc+q5GLlURTcm1VxVxExPZPb6Hn2J0DbEsZNu7XGpZFNE8zbuZP= yavqniIn+lrHGu63651H2mv9Sdd1uY4nWNQ4/ia/wBXw7fBtTaiaaLuIn6vpVcQs1zmqjLb/pF3= pomw9uVVVXLEZFNnweFhUTHWrmI4piI81MdnM+aPuh5f8EnIu5Oqbqyci5VcvXfF67ldU9tVUzd= mZn75eBXbly7XNy7cruVz31VTzLlw87NwpqnDzMjH6/HW8Fdmjnju547/ADvRRwaKNPVbir+ar5= c6tfM3YrmPaPh7vqu7MXaPwmdTzNQueDwcqzaxr9fHMURVbtzFX3TTHP1TLvnST0caH0kU4eqWt= UnHyLdrqWsnH6t23ctzPMcxz2988TE+fztWtAxLu491abp2XmXfCZ+Vax6r9czXVT1qop57Z7eO= e76nvWJ0A3sSmacTfWfj0z5reP1f6rjx6yxb0tVExc9NcR+Dvp7tV6mqPRmmZd66Jdg29g6fm4l= vU69Q8bu03Jqqs+D6vEcccczy6Z0Sfv6359tX95DuWz9DwujXbOdd1jct/Ntzcm9cycuvq9WIp4= iimJmfRPd2zMtUtzbiydR3dq2t6ffycOM7KuXaYouTTV1JqmaYnifRw4aPT16uq7HqzmO/6uuou= 02Io9u3w7d8Jqf/ABZzf4ez/Yh77oWPg726GcLTreX1LWbpdvHruW+KptVxTETHHpiqO76mnWVk= ZGVem9k37t+5PfXcrmqr+eXLhZ2dhRPieZkY/Pf4K7VTz/NL69/hdVyxboirFVLwWtbFFyqqY9q= ntej7PwuiXpT21k6rrlrLx87w9vw04/gqbNXU6tMz8qrvmqI57OHq/SVtHWt114VzRt45uhU2Ka= orpsRM03eeOJnq1U9scT6e/wA3n09zc7NzerOZmZGTNHPV8Lcmvjn0cy5cfV9Wx7cWrGp5tq3T3= U0ZFVMR90S5XuF3rlVNya/5o/JujW26ImmKfafzbj9Ge1tX2thZljV9z5OvV37kV27l+Kom3ERx= xHWqqdB6If39b8/+qv8AvYa8TruueudR9qr/AFcFnUdQsZFzIs5+VbvXf/MuUXqoqq+2YnmWKOD= XMV+quM1R+DVXEKc04p7PQvhMfvazv4ex/Yh5o5MnJyMq9N7Kv3b92Y4mu5XNVU/fLjfa0tmbFm= m3M5w+deucy5NX4iVeZUq8z0OaEhIIAKAJJADK1RNy5FEechX0YFrmrwtUdkdz7UopimmKYjiIZ= MTOXGZzKSiyiIAAMZ72TGe8WABpQABJVJAAAAZABUASVVCQkVioiJCVSxWe1GZagFRFyEKiqEgg= gvCSNZABMJPeiygAJVJKsKu2eUZJLm2nCKAgcLTHM/UBTHHayU4dGEAFhJRZQR9ADo5AA0SiygA= AQJKpJCygCoAEkJPeE94EiKAk9yLPcgAAQJPcqSKytV127lNy3XVRXTMTTVTPExMeeJfb/LOr+t= c72iv9XwwMzRTV3giqY7ObMzMvLmmcrKv3+r3eFuTVx/O+dZRYpiOyzMz3SVjuSVjuaZAEEkJFg= kAUEq8ypV5gQkJBABQBJIR+hhWupb69UfKq/oh8uJa8Ld7f2Y7ZfpMzLFU/CgMsJKLKAAAMZ72T= Ge8WABpQABJVJAAAAZABUEmFFViSSSCMap8ysZ70lYQBGl8yLPciILxKMlViMphEVAAJRU4RYE4= UBjPYwZ1T5mPDMtQgJwirwxXkMCM6Y4hKI5llMLTBKcqxOWmMrKEgpKcKCOYc3imX82ufhk8Uy/= m9z8Ms9Ra3R5OTc2y4RzeKZXze5+E8Uyvm9z8J1FrdHlrk3NsuGUc84mV82ufhTxPK+bXPwnUWt= 0eU5NzbLhHN4nlfNrn4TxPK+bXPwnUWt0eVizc2y4Ulz+J5Xza5+FJw8v5td/CRqLW6PK8m5tlw= Dn8Ty/m1z8MniWX82u/hleotbo8pybm1wDn8Ty/m138MnieX83u/hlOotbo8kWbm2Xzz3jmnCy/= m138MnieX82u/hleotbo8nJubZcI5vE8v5td/DJ4nl/Nrv4ZOotbo8nJubXBPcjnnDy/m138Mni= WX82u/gk6i1ujycm5tlwDn8Syvm138EniWX82u/gk6i1ujyRZubXAkvo8Syvm138EpOFl/Nrv4J= Ootbo8rybm1wwOfxLK+bXfwSeJZXza7+CTqLW6PKcm5tl88o+icLL+bXfwSeJZfza7+CTqLW6PK= 8m5tfNKx3ObxLL+a3fwSsYWX82u/gleptbo8pybm1wD6PEsv5td/BKeJZfza7+GU6m1ujycm5tl= 88jnnCzPm178EniWZ81vfglY1NrdHlZs3NsuAc/iWX82vfhk8Sy/m178Er1FndHlOTc2y4EnzPo= 8Sy/m178Ek4OZ82vfgk6izujycm5tl8w+jxHM+bXvwSTg5nza9+CTqLW6PJybm2XzD6PEcz5re/= BKeI5nzW9+CTqLO6PK8m5tl869szxEczL9vTNobq1PG8Z07buqZdjrTT4S1jV1U8x3xzEP0sLo+= 3rFc117U1mOO7nDr/RidXYj+uPJybmP+Mvxce1Fq3FPn88uV2H4i70+iuseyV/ovxE3p9FtY9kr= /AEY6uxvjy5ci7tl10di+Iu9PotrHslf6HxE3p9FtY9kr/ROrsb48nIu7ZdclHY52JvT6Lax7JX= +ifETen0V1j2Sv9Dq7G+PJyLu2XXR2L4ib0+iuseyV/ofETen0V1j2Sv8AQ6uxvjyci5tl11j53= ZfiJvT6K6z7JX+jH4h71+ius+yV/odXY3x5WLFzbLrg7H8RN6/RXWfZK/0PiJvX6K6z7JX+jXV2= N8eV5FzbLrg7H8RN6/RXWfZK/wBD4ib1+ius+yV/onV2N8eTkXNsuuI7J8RN6/RXWfZK/wBE+Ie= 9forrPslf6L1djfHk5FzbLrg7H8Q96/RXWfY6/wBD4h71+ius+x1/onV2N8eTkXNsuuJy7J8Q96= /RXWfY6/0PiHvX6K6z7HX+h1djfHk5FzbLrg7H8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHlORc2= y64Ox/EPev0V1n2Ov8AQ+Ie9forrPslf6L1djfHk5FzbLrQ7J8Q96/RXWfY6/0Sdh71+ius+yV/= onV2N8eWuRc2y61PenDsnxD3r9FdY9kr/Q+Ie9forrHslf6HV2N8eTkXNsutTHZ2I7N8Qt6fRXW= PZK/0Sdh71+iuseyV/odVY3x5Xk3Nsut98I7J8Q96/RXWfZK/0T4hb1+ius+yV/odVY3x5OTc2y= 64yh2H4hb1+ius+yV/ofEPev0V1j2Sv9DqrG+PJybm2XXkl2P4ib0+iuseyV/oTsTen0V1j2Sv9= DqrG+PJybm2XWx2P4h70+ius+yV/ofEPekf/lbWPZK/0Oqs748rybm2XXB2L4ib0+i2seyV/ofE= Ten0V1j2Sv8AROqs748rFq5tl1ye9JniHZJ2JvT6K6x7JX+jjq2PvLnj4r6v7JX+h1VndHleTc2= y66OwfEfeP0Y1f2Sv9D4j7x+jGr+yV/ox1FrdHleTc2y6+xdi+JG8foxq/slf6J8R94/RjV/ZK/= 0Ootbo8nKubXXk4dh+JG8foxq/slf6M6NibzqjrRtbV5j+Er/Q6i1ujycq5tl1+I4jgl2P4ib0+= i2seyV/ok7E3p9FtY9kr/RrqbO6PJyrm2XW+xOHZPiJvX6K6x7JX+h8RN6fRXWPZK/0XqbO6PKc= m5tl1yCYdj+Im9PorrHslf6HxE3p9FtY9kr/AEOps7o8nJubZdbHY6tib0+iuseyV/onxF3p9Fd= Y9kr/AEOps7o8pybm2X6PAD8C/WgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD79v6Vla5r= WLpOHTzfybkUUzPdTHnqn6ojmZ+x8D3n4P20/ENKr3Hm25jJzKerjxPfTa/wBL7ap/oiPSg9G25= pGJoeiYulYVHVs49EUx6ap89U/XM8z979EiOBAAAAAAAAAAAAAAAAAAAAAAAAAcVc8yzrniOzvc= YJwjIBiLwgJMCgIkxyvADHjhO9mkwDHhGRwDDgZcJPcDivVdSjmO/wAz4/O5r1XXrmfNHZDjmBW= ExDGaWcwA4+IThyTDGY4US3RNdcUx53300xTEUxHEQ48S31aetMdsudFYpLLhBEJXhBMJwjJOBU= lOIZSgNRAGkAAAAAADl+1tbFx9Qp1PT68eLmVcw6rmHVH7VNy3MVzEfbRFcfbw7PG29OqysKIxa= JtaPdm1rU01TPhOra8NVM+jmabtv/dp88g8+OXctH0zS8/B03WrmNTRj4l3I/lK1RMxE00R4W3H= 1daJ8H/ux5zWNP0rS8bUNWoxaLuPlZdidNtXJnjwVVMXq/t4iaKJ+2QdNHoVe2NPs39QsXMejjV= btVGi1TVPyafBeGpmPTz17VH31eh1nc2HaxKMLDx8Oqi9i4VurOucT23bny+30cRVRT9sA/Dct+= xXZtWrlVdqqLtPWpii7TVMRzMcVRE80z2d08T53bNcr0jQ8qNCo23j5seL26qsu7cuReu1V24q6= 9E01dWKYmeyOrPZHa59O0HTM7L2xau0UWreRpt7JyO2qJvVW670xE9WJntiimPkxzx3RyDo47nu= CjbuVoGVkY06RayseqjwP8m2sziqJniabk3aer3czE8xPZL9CbG36922tq29vYtFrJot0VZc3Lk= 3qLldqKutT8rqxETPdxPPH1oPPHLTYrnFqyYrtdSmuKJpm5TFfMxM9lPPMx2d/HDsmLGnaNtfT9= Tu6NjapkZ927FVWVNfg7NNuYp6sRRVHyp55mZn0cQ4rmLh5e2NSzsbTYxrs6pYt2bfXmubdFVFy= epEz2zHMR39vZCjrZ//ALveh5ek6VXpuqadXjaFZzcDDru8Yd3IuZFuu3x1uvXMTant5iY5757H= 5moXNK0W7i6RG2cbUPCY1m5cyrly5F6/NyiKubU01RTTETV1Y7J/Z7fOg/A1XSbun6jn4dV6xXO= FX1a6puRTNfbx8mmZ5n7I5fnO77ixMa/rO9712x1rmNMVWZrj5VEzfopn7+JmHz6jc0rRqsTSPi= 1j5/hcazcuZNdy7F69NyiKubUxPFMRNXEfJnu7QdVosV141zIiq1FFuaYmJuUxVPPPdTM8zHZ2z= EdjG7buWa+pdt126+Inq1RxPExzH88TEu5a1p+nadc3Jes6faqjT9VsUWbV6KpiKObnNE8TzxPV= iJ7eezvfRr1yjWt5YuJRomk26LOLZyL1XhLlqmq3GNRXPhKpqniimO7jieI75lR0S1T4S7TbieO= tVFPP2vs3Bptej65naXcu03q8W/VamumniKppnjnh2jcmHpdzRcPVcG3pVF2jUIxq503w8Wqomn= rcT4aP2o476eztfl9I1q7O+NfvRbrm1TqF2ma+rPViZqniOfT2T/Mg66cw7xqEaNo+uWNufFrHz= 7dUWabmTcruRfvTcppnrUTTVFMR8rsjie6OUu4Gk7ewtduXtOx9WvYOrxh49V+qqKOrxc5mqKZj= n9mOznv+xR0gdy1W5pOheJafO3MTUJycW1k3ci7cuxXXN2mKuLXVqiKYp56sTxPbHa/I3zh42n7= sz8PDsVY9i1XEUW6u+mOrE8T9YPxAAAAAAAIiapiKYmap7ojzg7P0Z7Xubq3RZwqomMO1/hcqvj= uoif2ftqns/p8zaaxat2LVFq1RTRbopimimmOIpiO6Ih1Dom2rG19sW7d+iIz8ri7lT54njso/3= Y/pmXcmQAAAAAAAAAAAAAAAAAAAAAAAAJEq5nsBhM8zyizCAnHApwCBMAJMIyAYizCAgpwCJwoD= FxX6urTxHfLmmYiOZfLXM1VTIsOLhJhnwgrCYSYZzCcA42Vqjr1xHm86zD6LNHVo+ue2RJZ+bgA= QAFSYRkTAMeEZIIgvCA1CAaAAAAAAH06ZnZemahY1DBvTZybFcV264iJ4n7J7J+9z2Na1Wzb1C3= azblNOpRxlxxE+Fjnrdv3893pmPPL88B9mJqediadmafj5E28bNiiMi31Ynr9Weae3jmOJ57jN1= PPzcHCwsrIm5j4VNVGPRMRHUiqeZjsjme30vjAfoX9b1a9Vp1VzNuVTptNNOHzEf4KInrRx6e30= +iI7ohlk65q2RVqU3s2uqNTqivMjiIi7MVdaOeI7OJ9HH8z80B+zjbp3Bj4EYVnUq6bVNE26Jmi= mblumf82muY61Mds9kTD469W1KqcGrxuumrAo6mLVRxTVajrTV2THE99Uzz39r4gH6usbh1nVrM= Wc7M69qKuvNFFui3FVX+lVFMR1qvrnmXDTrGpU6zb1inJ4zrc0zRd6lPZNMRTT2ccd0R5nwAP09= H1/V9Js12MHL6lmuetVauW6blHW7ut1a4mIn64jlx5WsanlWsi1k5ly9Tk36ci9NfE1V3KYmIq6= 3fHEVT2cvgAfuZO7dw5Niuxe1GaqLlubd3i1RE3aZiYnrzFPNc8T31czHmYYO6NfwsGjDxtRqpt= W4mLczbpqrtR6KK5iaqP92YfjAPvv6zqd+5n3LuT1q9Q48amaKf8ACcVRVHm7O2Ins4dq0TOro0= nEt0b6x8TGooiK7d7EqnJx/wDSptVRRVMR38cVU/ZHa6MA/Y1/XcjUNQ1auxVVbxNQy/GJtVUxM= 9k1dTme/mIqnuSNya3FWDXTm9W5gUdTHri3RFVNPHV6s1cc1Rx2cVcxx2PyAH6up7h1jUrUWszL= iu1Tcpu026bVFFFFVPPE000xER+1PZHf5+XHn65q2dby7eVmVXKMzJjKv09WmIruxEx1uIjs757= uIfnAP2sPde4cTDpxMfUq6bdFPUt1TbpquW6fRRXMdamPqiYfmxnZcadc0+Lv/drl2m9XRxHbXE= TETz391U9j5wHd9v51y3o+Nas73xcKxRH+Es5OJVVex557fAzFFX2xxVT2+h1zdmpWtY3JnalYp= uU2b92arcXP2urxERz9fEdr8sAAAAAAAel9A2051fXp1vMtz4np9UTb5jsuXu+I/wB3v+3h5/o+= n5WrapjabhW5uZGRciiiIj0+efqjvmfREtr9paJjbd0HE0nEj5Fijiqvjia6v86qftlJH60RxAC= AAAAAAAAAAAAAAAAAAAAAAAABLGFn0AITCgjCYRmkwKxOFnsQEFJgESYUBOEZJwCJwqVTERMyDh= vzPHVj73C5J5meZ70mIkWGEpMMpiUFY8Jwz4SY8wFmjrV8z3Q+hLdPVpiPP52QyicLMAMRknAIA= AnCgqIyOAa3+TPfHqK5+db948me+PUVz8637zaAXKNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/= 5M98eorn51v3jyZ749RXPzrfvNoAyNX/ACZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db= 948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz86= 37zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav8Akz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8m= e+PUVz8637x5M98eorn51v3m0AZGr/kz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8AJnvj1Fc/Ot+8= eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db9= 5tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/wCTPf= HqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me= 9/UVz8637zaAMjyroT2Hl6FdydY1zGiznTzax7c1RVNFP8AnVdnZzPd9kT6XqpxHogQAAAAAAAA= AAAAAAAAAAAAAAAAAAEmFBEADIAGE4SYZAZYIzmEmBWKcMkBBU4AcN6fldWO5yV1cRy4e8GKTDL= hBWKTHLNOAYcSzs08zz6CI5nhzU08RxAJwKCMTheAGIpwDHhJZAMRZhAAAfoAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgpwJ7oEwAAAnDGYZgMEZ= TDC52QK4655q+qGEwzlAYDKYSYBjMehGREczwC2qe3nj7HIccAInDIBiLwnAJwjIBicLwgIKkwC= cHCgPuAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAOAEwkwKSCAgo4qp608s657OHHwJhJSWRwKx4RlwnAMeGVuniOfSRHayAOABBU4AABJhGQDEX= hASUZJMAnBwqA+0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAABJ445VjX2iYYTzyjJOBWPBwoDEmF4POBTCgCcIyAYi8IAnCgIKnACKAnCMkQ= Q4ZU0zVVEQ5vB0ehRmAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAABMseFnvBGMwkwzSYDLBJhnMJwKxWIAE4FAQJAE4UBOEZJwCC8IBwigIks= pgopmqrjzA5LNPEcz3y5OfqAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAABJVJAAAAEwJMKAxmE4ZpwKwFmAEOABOOBTgEAASYUBiMkmARzW6e= I+1x245q+qHNAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAgnHCn3ggqcCgAAAgnCgMOEZpMCsRZhACYAEFSYABlbjmeQZ0xxCgAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= Jg4SVAQAXIAGAATCJMMgMsOEZ8JMCsRZQDjlyUxxHEJRHnZAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACJMCgIHCCqAAAIn= CcdrIgFAFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAO04ARBUDIAKR2qQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHHaAmAAUAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAmU5fkbu3Hpe19LjU9Yv= V2cTwlNublNE19WZ7uYjt4YbZ3PoW5sa5f0LU7ObTa4i5FHMVUc88cxMRMd09/oa5dfp9WPZibl= MVenPu/a5OWq1vpe3roOu5+PGfb1DGt5VyKbWXR1uIiueyKo4q7vrbI7M1ivX9radrNePGPVmY9= N2bcVdaKZnzc+d6dVobumiKqu0vNptbb1EzTT3h+z5uSJ5dO6Yd31bI2Hm63Zooryommzi0V/sz= dqniOfTERzPHn4eDbL0bpw6QdMr3HibvvYWLeuTFqq/m3LNN3iZiZoot0zEUxMTHdH1PI9jarke= G5WD0j7J6MLtOq9IGlYesXdXpqt6hm3671qLE2uPBc3LVUxVNVMzx1fv8z07B3Fp+kbJ0nVNzbg= 06nwuHZm7m1XIotZFybcTNVHMRzFU8zEREdnmgHZB1XTekXY+pVZFOBuXAyJxsevJvRRXM9S1RH= NVc9ndEPmp6VejqqqKY3fpfMzx23Jj/kDuY+LK1fS8XSf5WydRxLWn+Di541Xdpi11Z7qutzxxP= MPwNN6SNi6nqFjTsDc+n5GXfri3atUVzM11T3RHYDtg8p6LN1alas7l1DeG/ND1jBwq7c0V4nER= iUzVXExc4tUds/Jj/O7pdlsdKXR5evUWqN36V1q54jrXurH889kA7iJTVTXTFVMxVTMcxMd0qAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAADy/wCE5+7G5/F2v+bqXwR+7c3/AA3/ALrtvwnP3Y3P4u1/XLqXwRv2dzf8L/7r7Vr7sq= +v+HxLv3jT9Hie5P8AKHUv4u7/AG5be9EP7sdv/wADR/U1C3J/lFqX8Xd/ty296If3Zbf/AIGj+= p6uNfYW/wB/Dz8H+3ufv5dD+GBjX7/Rfi3bVM1UY+qWrl3jzUzbuUxP4qoj73Yvg46jg53RFotv= Ev267mLbqs37dNUTVbriursqjzc9/wBku5bm0TT9x6Fl6LqtiL2Hl25ouU88THniYnzTE8TE+mH= gWb8GOvxu7Vp28PB48zzRTew5muI9EzFcRP28R9kPzb9G7V8MCf8Awtxv9q2v7u68d6UMvJzNf2= Fpl/TsnVMTH29p82sC1VVE5M1URNUR1YmeZ4insjn5L1ijoLyqejC9s6rc1mq7c1enUIyZxZ4iI= tdTqdXrffzz9z9je3Q1i7k0Lb1q1rN7Tta0TBs4lrOtW+YrptxHHNPWiY7YmYmKuznzivP9sY2N= Oi7xrp6KMzaVdvbGfNObeuZExXPUiPB/4SIjmYmZ9PyX42wdibY1b4PmvbozdPmvV8SMmbORF2u= Jp6lFM09kTxPb9T1HQeineGLa1bH1jpFzNWxtQ0vJwabN6m5VTRVdo6sXOJrmJ47X6u0+jK/oXR= JquxatYt37mfF+IyosTTFHhKYj9nrdvHHpEa769m5eR0NbD0i7l3KMK/qGb4Tmrsjq3KIp/m8JX= x9rZTbnQ/sHRM7C1LT9GqpzMOqm5avVZFyqrrR3VTHW45+516joP0/J6LsTZ+p6rNzKwsi7kY2f= Zs9WaJrntiaJmeae7mOY7o7YfPszoh3hoGv6Zm3ekjPzMDCvUVThzF2mi5RT/mcTcmIjj6uAead= E2p6JpG0OkrL3Fg1ahp/hseivFprmnw1U3LvVp5ieYjrcdvoj7nXN3VafnbOu52n9EWZodiuKLl= rVqb+RctUUzVEd9VPVmKu7v75h7hoHQZbxNu7o0XUtc8Yt65ctXbdyzj9SrHrt1VVUzxNU9btqj= 0d0+l+Fe6BN23dH/kW50l5NemRTFEYlVi5NrqxMTEdXwnHETEcfYD0noAy8jN6H9u5GVdqu3Ixq= rfWq7+rRcqopj7qaYj7ne3XOjPbde0Nkadty5l05dWFTXTN6mjqRX1q6qu7meP2uHYwAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AeX/Cc/djc/i7X9cupfBH/AGdzf8L/AO67b8Jz92Nz+Ltf1y6l8Ef9nc3/AA3/ALr7Vr7sq+v+H= xL33lT9Hie5P8otS/i7v9uW3vRD+7Hb/wDA0f1NQtyf5Q6l/F3f7ctvOiGf/DHb38DR/U9XGvsL= f7+Hn4P9vc/fy7NnV1W8DIuUTxVTaqmJ9ExDVLYm6OnPe3js7d12rIjCqoi914x7fV6/W6v7VMc= /sy2r1P8AxZlf6mv+zLX34Fn/AJW7P9Zi/wBV5+bfo4fNsTpR37t3pKs7Q6RqvC05N2ixVNy3RF= dmqv8AYrpqojiqiZmOe/7uJeoba1nduT0raxpeoZej16FZornFtWL9qrJpmJp469EVdaI7Z74jz= PFfhN128zp10jGwZivJoxsWzXFM9sXJvVzEfbxVT/PD7sXUcnSOnLpL1PDq6uTi6TmXbVXHPFcR= b4nj6pBsVnbk2/p+TVjZ+u6Xi3qe+3ey6KKo+2Jnl1rpG3RmfE69n7G1nQr+ZayLdFV29mWvA0x= PPMTVNUUxPojl4r0KdFW3977JzN0biy9QyM25lXojwd+Kf2YieapmJmapmZnnn0OmaHER8H/c9M= d0a3iR/wCmoHs/TdvzXdv9F+3snA17Dxdx5FePVmU4tdq51qarNc11Ux2xNE1xHFUdnd2vS9qbq= 0jM2liajka7p1ybWJYqzbvjNHFquumP25ieKZmrmO3jta9dN+29Lt9C+yN1027n8qXMPAwaq+vP= V8F4tXXx1e7nmO93bL2z0d7G6FcnM1TEzq8PW8bCqy7Nq/M3L92ni5RTRM9lPbNUz9UT9gPXMfd= e2Mm/RYxtxaReu1zxTRRmW6qqp9ERE9rzLpX3duLSOmnZ+habqdzH03Pmz4zYiimYuda9NM8zMc= x2dnZLwLeU7Mu7fjJ27s3cek3+vTVby8nIm5Zqp9Hd5+Y4mJ9DvWtZuVqO/uh/Nzb1V/Iu4GFNy= 5VPNVc+GmOZnzzPpBtTAQAAAAAAAD8PfG4MbbW28rVL/wAqqinq2aP9O5P7Mf8AOfqiXgHlU33z= P/xqI+rxWz7gNmxrJ5VN9+u49ks+4eVTffruPZLPuLgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZ= sayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLP= uHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7h= gbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7= JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyW= fcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffr= uPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j= 2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb= 79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/= XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsaye= VTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU= 3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNj= WTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w= 8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMD= ZsayeVTffruPZLPuHlU3367j2Sz7hgbNgIAAAAPL/hOfuxufxdr+uXSfgp52FiVbioyszHsVXZx= vBxduxTNXHheeOe/vh7zq+mafq2L4pqeFj5mP1oqm3eoiqnmO6eJfkVbE2ZMdu19In/AISj9Hvt= 6ymnTTYmO85y+dd0lVWpi9E9vhrruLok31d1LNzsTSrWXYu37lymbWVb5mmapmOyZh6F0e9It3a= uiYW3t57c1TR7WHbps282rHrm3VEeers7Pu5ek2NlbYxuZw9IsYcz3zi1VWZ/nomJc8bdtW4mnG= 1LU7duqOKrdzInIoqj0cXet2fZw6XuIc+iKLsZiP0Ys6CbNc125xMvtsZeJrGj13tOy7GTZv2qo= t3bdcVUzzHHfDWvTPg/9JGmzd/k3dmmYXhJia/F8zIt9bjnjnq0RzxzP873jE2dj6ZkXM3Rb9Om= 5NUzM02LfVsXezs8Ja56sz/81PVn63Z8abk2om7TTTc4+VFM8xz9T51WM+z6VE1Y93h3RZ0E39A= 3RZ3LurWLWpZuPc8LZs2Yqqo8J5q6q6+2qY74jiO2Inme5+3onRdnWeljc259Uv4ORpGtY17H8W= oqr8L1bnU5ir5MRHZTPdPnetJMcstNVq9nZ+1bmda2X0y6BjaZc5uV2bupRbrniJ7Jpp60TPHZz= HHPofN0PbM1Pe/Q9uLR9Ov41i7d1excpu5E1RRPUo5qj5MTPPyo8z2SvoG6Na7lVyrRsiaqp5n/= AL7e7/xO97b0DSNt6Ta0nRMG1hYdrnq26OZ5nzzMz2zP1zMyK6HvXozydzdD2jbNuZ9jH1DS7ON= NF6Imq1VdtWptzE9kT1Ziqrt457ux1ux0R7y1Xo+z9r7t3VjZUW6sevSK7XWuU4824rpmmrmmmZ= iYqpjvmY4+rt7rujU83P3nZ0rCuX7GNptrwmfNNVdEVTdpmLcxNMTz1erNXFUxEzMejs65rd/eu= tZ1i9GHrODHgZt0049FVvwXhOrz1p5+XVT16O2eI5t3PNPLtRYmr5eeq/jtDquq9EfTBqm3adu5= +9tIyNLt00UU49ddziIo46kcxa57OI879+50Sa/Xruws/wAf0zwe3MbHs5Udevm5Nu5NUzR8ntj= ifPw7Bcyt5YOhYFjBwL1zxm1NNyK4u1XLHWimmOZqmaoqpmvv7qot1TERzD6NG1HdOu61gWNS0v= K0/CouU5VdUW6rfbFuKvBVVTPyoiq5THPEczbq7OJ7HJnGcrzo7YeiUqlKuLsAAAAJVPCuidM27= I25tmbGLd6uo5vNux1Z4qt0/wCdX90dkfXMegHlXTduyNwbknT8S51sDT5mimY7q7ndVV/RxH2c= +d5+faKACgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AADdABkAAAADgAODgAOCIiO4AAAAAfLXp2Bczac65hY9WVTTFNN6bUTXERPPEVd/D6erT6FBMJ1= Y9BFMQoKAAAAATPAOLMyLGLi3cnIuU27Vqia66qp7KaYjmZaqdIG5L26dzZGp1zVFjnqY1uf8AM= tx3R9s98/XL0/4Qe6/A41G18K5/hL0RczJj/No76aPv75+qI9LxBYABQAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABugAyAAAAAAAAAAAAAAAAAAAA= AADG5+yANXemD94+sf62n+xS6mCgAoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAA//9k=3D" width=3D"793" height=3D"1121" alt=3D"" st= yle=3D"margin-left:-1pt; position:absolute" /><img src=3D"data:image/j= peg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEB= AQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wA= ARCAAbAE0DASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAABwUGCAkKAgT/xAApEAABBAMAA= QQCAgIDAAAAAAAFAwQGBwECCAkREhMUABUKFiEiGCUy/8QAFwEAAwEAAAAAAAAAAAAAAAAAAAEC= A//EACkRAQACAAYBAwMFAQAAAAAAAAECEQASITFBUQNxkfATImEygaHB8dH/2gAMAwEAAhEDEQA= /ALAbx6gFUHCruua3rKsFMMDvK/BjZu2mcwdmDZDW+LBBRGGRYS3M6bOyDrRuPBR8MxTTQatUEU= k9Go5nvujzW3N/m+6DizK0o6FqbmeLnGqRiK1tedm26ftJ0HdJ4cMNZg3jZduPhxR033S3cDFMv= Xg7ffZF4gi4TUQ1DjUFHp95X/HtX1jtGj+vMdg+QCyRAYpjTcPIbgrE/dUprRB6grn4FnkcMMk5= QE13122/asENE9d9lM6ZcD3yLdzI0R2hNAl83CT7Urt/ZDeV8go8yOCkS5trYN0fXsL2s8JJW8F= S+6+iVIF5XN443LyCQNp+mOeGmjF21EKI75QhG5S1Va1V6/c29TGEPGOaaqynLmVVZ0n5DeivTH= cTv/oqsb6R5H7biswo6/zAR/JqzMArSmcgqO9I6I2/7l9WUpWKtt1ioVPbRcvGSCSRhmh7190fj= 11yoSWJnproe4bApHmWTvI8ypSLBZX0HfVjy+ekINWmZQyfFYrBQQNjJWDmY2KcCMFpAuLw/Yj4= +Eci3pV3osWHN1mF5GZrA7Y8aNMXvGulpv1VN6i8idFo863tPapzVUrLE5OeZx2YQmOqpxeHpS6= OrRAhJ3hMoNE5HkHUc0YPfsPY5ndB78/T6q4QO8jXAnQBpKuMd1OJVcHPFklXbIKIs0zJaNhVYy= ylxUkKbIimtiRArWwwuCjT9ym5PBZfs5EJqrNXSP4EIxnu/cLlWyzLw+51V+k/SieWm0lBlWaVW= INFrrduv8XgftJJ1jV1HVv1jM7KK3NyzOZElFJjJGidg1PbVEE3koViI0xY0FdziRMlYo8K/RWX= fJP2bwWFLhzLhtuye/Lp4Zl0nI5b0Xjk+sOi67qGaBq2dW9Zln37c8hDRWBwJogs9xkPH1pgJfT= GSKjGrs45HNXrVsGjzfcyTX0bKoZ3APKsIiPEfgmeePSS5Jp9w972bcZUnz2SeiSk4rlmYsJhVy= NlyEKIcO14pXounKlhk+SOG9m6T82a2RGLrOHCLNKQEAhXKzqy+v8AmbsOrqIlqnW4qt57yjL+i= caAa4K27X1QDKoJVgpZSOiJuEyfdyAFycQmDKMCxYWXL6CcPXbdZv8AhljnC6qN5RDkD8/7d4bC= B5IRuhtY5mmq4sdSzfbCGPuO44dSy/W4XqSOdh8fxmfK17c9h1i9sWBz2jHO0n/q7SdyOJuZiab= G63cOXIo8qTaKtSDWEGB0ty2WH7OstyXOLWuKVTKa11T1hsYKIp6t07h6S6LuGxZ3pU9BVw51eK= BnBFgOkCL+Uy6TpCyboJH2jlsjoOYOHzt1jZRk2dxFuvPcPOXJ9wcqZ6Fqo4968aTzmioPHdI5N= v0TYcBqGVR4hUhu3x12JZZy6PxCFi/t2XGSVgJEhI6JtI4D2cInd8M2xUBs4PXAHsnjW3Fa70U7= RgNGlucZbeshMwqoLJtujGIRq7o2cT8SQFbxM0fzFhRuItXxRFscWIk09ESe7RYU/piZxXcdO6y= +9b/5gfH4zyRjdXGX25nVMtCK8Mni67MeOM9GWI3gkxvSuevYx2vR1Rrx9XohjBGVzUzdlHxOUL= KIjLWVgM2O4cS2tNMprOnZVog2zqIbuSLN07+i7R10HeLWVGpMn0u1eSo/IwY6wK9fRz9wfJyBJ= k2PVXHXbvIpwYdPlWrIhugi+2bNlE2m7lRd5hHDh04VVoL6GmthjrX6E6Cv2CVXTF59F8AN/HFz= HxTVNsxa47Cswkdlw6SnbqmOYcq5YgK6r9qL1RZHjCnwiophdu9eNyWGg97dz4co+tE490FFnK/= 2nEbNUkBXc+u2cOFxFKxwestrnbGNs6qqN9t9c5xjOdc49cev4yo+SKB+mWxVbb12aGnBi4wgeb= xxrRjNYqpplRpdxd8YfLn8j7Cddx9D8v29KRnOz6hO4b8kfLPUcc0dfs6pt6HdDT4jGy01TWV2b= LRQ5ursHkGc4SHJs1vcV1wOwuu31HVX51OrYRChQK+vHVP7qm2g9m3Y2/ypOIJKams7OqOmjWTN= 9Cb5uTiTQtrjV2okRw4bMsLb6Jb7I667Zx8d28w0aZ7f7IMEoP8AYIleqehCRBxiSy9D7D19bcu= dOl/hbn0kEsquFVFPjRSTS093tT000xrrgZxSFMYAJ3AweR2dEAm+m+mREbuO2gw3Gu+ce/2MR8= 1QbJ529c+uyaeu2fXP+fxhW2h13t3eKp3jVNNN6e3Zv+e8XG+VDyg2VLJXAL769GQytlqaIPpVy= F4+4zLh01Oa2a7HOBjG8egzwPfA9vvFxzp6lHGDVPVBsu9dNhqi7h0R11hBzj5KeufJO9sWn1Kh= 5OKB4dCmE7NCrXjsvPAiiT2ewyuhDFiPFi5KvkqtI5yFxo6UZoIMmmrt2q8SwjjXeAZfmelz5B0= XOxUiaKvVdlnhMtN58RIO1tv/AEq5ePJQs4XU29Meu6qm22fT/Ofwl0/AYzRBY6cqJEvBS0kCpR= w29ESmU7KkAyRoVI27RXD0y7T02ZyAAENMXSOiTxgUFMXzNwg5bpqajEUUFNn5898GSK5pBKXb1= pxtxg82F3r0B4843AZZG6E4fizS/GDyRQzepB7/AAamMIDNxjF9MCmG6LMkOBDZ3tKaq3YSDdkU= TsOs7FD6CsJRvd85enP3ks7b8kGLCqePUFyzPUYtHBUmMwuxGBR63PjnskGR5XUGLeakUipQQkR= WPOWaOmj79KLKOGOrhyho2VhXMaSrifN4k0mYkxJW8Fj5CLRBMtNJu6wAjxWay6xiQphtvI/fo1= fTmeTGUOdd9t91S8iJudt85X9NV2rawiNMF8yKqdJJADuXgF/+3jE6nQx/h5GTjORgXGrlCSYV1= UFnB7Mk1zrtj2uW+mdsba+7XM5IXeUvv56YX0vHd5I2c1rx/wAMSGsLvK7PHu2RUjlJ8PRGeHci= f7fC6wikxHTAGIkYnSSwwgfOLR8WDKDpJHV2RtmzDyQquLSetUCrNg9wogi4OffK71p5AJHKqKW= qrlR8xRhD+Yv4/ZwaSn2EqQHHY6CRj0aiTBnITEvlaz6SsyDYIEDviqQQaeON0FEwy+uY6WHG2V= sRYDCbHISqYxWNkHhIMGNTeZuG7R883Wyo4331P6OHe6WrhdFlh6s51GtllGo/Vq23yllCqisIZ= SZ97J6sYk4abJiVQBJ4NlEqW1IB1iA0v9B60fmnjJ0igYDhzLLK7ZTdgZECy7HduRHM3KLyR00N= NTDfHBczEs0Hn5pg6T7ubp3x5x+qLAZ8gcm1mn0FGjhYUQhMLNBjaGI0WQYkYrJ13TMWSYlUGD2= OSNQFsptq2ESEGq8SbPt1WrfXr/Fu67nvbvPHWd12GHj8dkX/ACIARHZhGk3Wo3LIDUkNWar41d= rKrYXUySVwr/v7c4109uMemfXFvacXZ3SNbjLaMTexB7A44kg9nLbGsA0gNNvhYwG+IDU3kmUwO= VfCw4tq+0ZfAi8+g2WcpKuEtVfzZ5/FUraF1lyF0YLhAbIRiR6Ry/eIYJFiXzO8VjBm+FflLP36= yfoiknp8aSmiX+vu9nvzttkyR3ovDIRi5gpqr5r+sf/Z" width=3D"77" height=3D"27" al= t=3D"" style=3D"margin-left:441.05pt; position:absolute" /><sv= g font-family=3D"Times New Roman" font-size=3D"16" height=3D"41.33" version= =3D"1.1" width=3D"209.31" xmlns=3D"http://www.w3.org/2000/svg" style=3D"wid= th:209.31px; height:41.33px; font-family:'Times New Roman'; font-size:16px"= xmlns:xlink=3D"http://www.w3.org/1999/xlink"><defs /><g><g><path d=3D"M0,0= L209,0 L209,0 L209,41 L209,41 L0,41 Z" fill=3D"#7c7c7c" fill-rule=3D"eveno= dd" /></g></g></svg><a href=3D"http://www.ana= tomiadigital.org/" style=3D"text-decoration:none">www.anatomiadigital.org</a>ISSN:<= span class=3D"awspan" style=3D"letter-spacing:-0.15pt; color:#ffffff"> </sp= an>2697-</= span>3391Vol. 8 No.</sp= an> <= /span>2.1, pp. 19 =E2=80=93 3= 3, abril<spa= n class=3D"awspan" style=3D"letter-spacing:-0.2pt; color:#ffffff"> <= span class=3D"awspan" style=3D"color:#ffffff">- mayo 2025 Revista en ciencias m=C3=A9dicas, salud p=C3=BAblica Ar= t=C3=ADculo de revisi=C3=B3n bibliogr=C3=A1fica.cuidadosamente las circunstancias del TCE para </sp= an>adaptar las int= ervenciones <= /span>de manera m=C3=A1s efectiva. = (16).Adem=C3=A1s,</spa= n> los estudios de Suligavi= et al. (18= ), <sp= an class=3D"awspan">Kumar et al.<s= pan class=3D"awspan" style=3D"letter-spacing:0.75pt"> (17)= & Deshmukh et </spa= n>al. (19) corroboran que </sp= an>las fracturas = del <s= pan class=3D"awspan">hueso temporal est=C3=A1n<span= class=3D"awspan" style=3D"letter-spacing:0.05pt"> asociadas con diferentes<spa= n class=3D"awspan" style=3D"letter-spacing:0.05pt"> grados= de p=C3=A9rdida auditiva,</= span> lo que subraya<sp= an class=3D"awspan" style=3D"letter-spacing:0.05pt"> la </s= pan>necesidad de = una <sp= an class=3D"awspan">clasificaci=C3=B3n adecuada<sp= an class=3D"awspan" style=3D"letter-spacing:0.1pt"> para </= span>guiar el tratamiento.<sp= an class=3D"awspan" style=3D"letter-spacing:-0.05pt"> Las <= /span>fracturas transversales,</sp= an> por ejemplo, tienden<s= pan class=3D"awspan" style=3D"letter-spacing:-0.05pt"> a = causar p=C3=A9rdidas<s= pan class=3D"awspan" style=3D"letter-spacing:0.1pt"> auditivas m=C3=A1s severas, lo que podr=C3=ADa requerir enfoques de= rehabilitaci=C3=B3n m=C3=A1s agresivos. (17=E2=80=9319).<a id=3D"_._Conclusiones"></a>5.Conclusiones</= p>En conclusi=C3= =B3n, = en la hipoacusia</= span> asociada a trauma<= span class=3D"awspan" style=3D"letter-spacing:2.15pt"> craneal se evidencia<= span class=3D"awspan" style=3D"letter-spacing:2.15pt"> da=C3=B1o de los nervios</spa= n> ciliados, lo cual, genera </s= pan>una p=C3=A9rdida auditiva </sp= an>neurosensorial, este hecho </sp= an>fue demostrado tanto<span= class=3D"awspan" style=3D"letter-spacing:-0.1pt"> en </sp= an>roedores como en <s= pan class=3D"awspan">humanos; adem=C3=A1s, se = destaca la relevan= cia <s= pan class=3D"awspan">de una evaluaci=C3=B3n integral </s= pan>que incluya tant= o <span= class=3D"awspan">las pruebas diagn=C3=B3st= icas <s= pan class=3D"awspan">como la revisi=C3=B3n<= /span> de antecedentes de exposi= ci=C3=B3n. </= span>La DpOAE se</= span> presenta como una<= span class=3D"awspan" style=3D"letter-spacing:2.45pt"> herramienta eficaz y objetiva= <span= class=3D"awspan">para la detecci=C3=B3n<= /span> y seguimiento de<= span class=3D"awspan" style=3D"letter-spacing:0.25pt"> la hipoacusia, mientras</span= > que la evaluaci=C3=B3n= de antecedentes ayuda a predecir el riesgo de tinnitus y p=C3= =A9rdida auditiva.<a id=3D"_._Conflicto_de_in= tereses"></a>6.Conflicto de intereses</p= >Los autores</spa= n> declaran que no existe </span= >conflicto de intere= ses <sp= an class=3D"awspan">en relaci=C3=B3n con</s= pan> el art=C3=ADculo presentado.= <a id=3D"_._Declaraci=C3=B3n_de_contribuci=C3=B3n_de_los_au"></a>7.Declaraci=C3=B3n</= span> de contribuci=C3=B3n = de<= /span> los autoresTodos autores = contribuyeron= significativamente en</span= > la elaboraci=C3=B3n del</span= > art=C3=ADculo.</sp= an><a id=3D"_._Costos_de_financiamiento"></a>8.Costos<s= pan class=3D"awspan" style=3D"font-weight:bold; letter-spacing:-0.05pt; col= or:#767070"> de financiamiento= La = presente<span= class=3D"awspan" style=3D"letter-spacing:-0.2pt"> investigaci=C3=B3n fue financiada en</= span> su totalidad con fondos</sp= an> propios de los </= span>autores.= <a id=3D"_._Referencias_Bibliogr=C3=A1ficas"></a><sp= an class=3D"awspan" style=3D"font-weight:bold; color:#767070">9.Referencias= Bibliogr=C3=A1ficas1.Bansal S, Preetam C, Patnaik A, Sa= hu RN. Assessment of Hearing Loss in Minor Head Injury:</s= pan> A Prospective Study.</span= > Asian Journal of Neurosurgery [Internet]. 2022 [cited= 2025 March 22]; 17(4): 595=E2=80=93599. Available from: <a href=3D"= https://pubmed.ncbi.nlm.nih.gov/36570745/" style=3D"text-decoration:none"><= /a><a href=3D"https://pubmed.ncbi.nlm.nih.gov/365707= 45/" style=3D"text-decoration:none">https://pubmed.ncbi.nlm.nih.gov/= 36570745/</a>2.Hwang</= span> PH, Nelson LD,<s= pan class=3D"awspan" style=3D"letter-spacing:-0.15pt"> Sharon JD, McCrea<sp= an class=3D"awspan" style=3D"letter-spacing:-0.15pt"> MA,= Dikmen SS, Markowitz = AJ, et al. Association Betw= een TBI-Related Hearing Impairment and Cognition: A TRACK-TBI Study. The Jo= urnal of head trauma rehabilitation [Internet]. 2022 [cited 2025 March 22].= 37(5): e327=E2=80=93e335. Available from: <a href=3D"https://pubmed= .ncbi.nlm.nih.gov/34698685/" style=3D"text-decoration:none"></a><a href=3D"https://pubmed.ncbi.nlm.nih.gov/34698685/" style=3D"= text-decoration:none">https://pubmed.ncbi.nlm.nih.gov/34698685/</spa= n></a>Esta </spa= n>revista= est=C3=A1 protegida bajo una licencia Creative Commons <span= class=3D"awspan" style=3D"font-size:8pt; font-style:italic">en<span= class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spacing= :-0.2pt"> la 4.0 International. Copia de l= a licencia: <a href=3D"http://creativecommons.org/= licenses/by-nc-sa/4.0/" style=3D"text-decoration:none"></a><a href=3D"http://creativecommons.org/licens= es/by-nc-sa/4.0/" style=3D"text-decoration:none">http://creativecommons.org/licenses/by-nc-sa/4.0/</a>= D i= a g<= /span> n =C3=B3<= span class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-= spacing:0.45pt; color:#ffffff"> s t </spa= n>i c</span= > o M =C3=A9 <= span class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-= spacing:0.5pt; color:#ffffff">d i c </spa= n>oP =C3=A1 g i n a<sp= an class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-sp= acing:2.85pt; color:#ffffff"> 29 | 33<img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2w= BDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFhwXExQaFRERGCEYGh0dHx8fE= xciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4e= Hh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCARhAxkDASIAAhEBAxEB/8QAHAABAQACAwEBAAA= AAAAAAAAAAAECCAMGBwQF/8QAWBABAAEDAwAECAsDBgsGAwkAAAECAwQFBhEHEiExExQXQVFVlN= IIFiJUVmFxgZKT0TI3dBWRobGysyM1NkJSc3WChMHTGCQnM6LDJWJyJkNFRmOjwuHw/8QAGwEBA= QEBAQEBAQAAAAAAAAAAAAECAwQFBgf/xAA1EQEAAQMCBQMBBgUEAwAAAAAAAQIDEQRSBRMUMZES= IUFxMzVRYYHwFSJCodEGIzKxNMHh/9oADAMBAAIRAxEAPwDpoD+lPxQANEosoAAECSqSLKAKgAk= kJPeE94pIACT3Is9yAABAkqkiysBAIkosoKkrHckrHcqACCSEiwACglXmVKvMCEhIIAKAJJAAQs= JKLKKSACD9HDteCt8z+1V2y+XCtde51qo+TT/W/RYmWK5+BjPeyYz3sswANKAAJKpIAAADIAKgA= qsZCQPgAlCEqnsYkiNQkosoKMZ7e1ap8zGGKpy1TAksuWNTDeQFpjsIgmQWYRqUhJ7wnvAAASUV= BRJUnu5QYVT5mE9yzPM8pPc5z7ukIkwqpgliLKfZ2osLTT1qo9Dk+5KY6sfWy5daacQ5VVe76AH= ocAAaJRZQAAIElUkhZQBUB9uBpebm4OdnY9masbAt03Mi5PZFMVVRTTH2zM931T6Hb+jros17fG= i3tV0vO02xZs5E4805FdcVTVFNNUzHVpmOPlR/S897VWrNM1VziOzrbs13JxTDoU96PY5+DxvD1= tof5t3/AKZ/2eN3+ttD/Nu/9N5f4tpN7t0N/a8cOXreV8H/AHxZpmbWTo2R6KaMiuJn8VEQ6Juz= Ze59rXONc0jIxrfPEXojr2pnzcV08xz9XPLva12nvTiiuJlzr0123GaqXX57kWe5HrcAAIElUkV= YAESUWU5gWElY7klY7lQAQSQkWAAUEq8ypV5gQkJBABQBJIACFhJRZRSRaYmqqKYjmZ7kfZgWv/= vao+qlJnDMziH02aIt24pjzd7MHNyGM97JjPeLAA0oAAkqkgAAAMgAqACqxkJA+BJWUSSElJhki= NMZRlLCe/hJnCwkx28oyYzDm3EiSqSKR3s0pjiFVBOFFGEwMp704BAQCUVEX4GFc89jKZ4hxpVK= whCjnhtAEBaKeZ59COWmOIappzOSZSUZVMeJdXPD6QHVxABolFlAAAgSVSSFlHPp2HlajqGPgYV= mq/k5FyLdq3T31VTPEQ4GxXwZ9gzh4kby1SzHh8imY0+irvotz2Tc+qau6Pq+15Nfq6dLamue/w= AO+msTfuRTD6N57OxdlfB71LTbc03MqvwNzLvRH/mXJuUc9v8Aox3R/wD3L7fgm/u6zv8Aa1z+6= tP3/hDTHkk1iP8AVf3tL8D4Jv7us7/a1z+6tPy1Vyq5oaqqu81f+n26aIo1VNMfg9T1vVcDRdMv= anqeTTjYlmIm5dqiZinmYiO765h1WOljo9nj/wC02L+Cv3XF0/8A7pNc/wBXb/vaGnTpwzhlGst= zVVMxiWdbra7FcU0w3m0Ddm29fqmjR9bwc2umOardq9E1xHpmnv4+5+nnYuNnYl3GzLFvIx7tM0= 3LdymKqao9ExPe0MxMnIw8q3lYl65Yv2qoqt3LdXVqpmO6Yluf0S7hvbo6P9L1fJqpqyq7c28iY= jjm5RVNMzx5ueOfvcuI8MnR4rpnMNaTWRqM01R7tcOnfYNGy9ft39Opq/kjP5qsRM8zarj9qiZ9= HbEx9U/VMvN23PwktMtZ/RVnXqrcVXMK7ayLc+emetFM/wDpqlqfpUzTqeLNNm1fmL1HFu9zNFf= yo7KuO3ifPw/QcJ1VV/TZq7x7Pl66zFu9iO0vedP6O8Kvoyo29XoVVWu5GlVanGp+Kz1aLvXiqj= H8Jx2VdXsmOfNM+d0jb3Rxo2dtjb+rapum9p97XMivGxrNOnzdiLkXJoiJqiuO/iPNHe9Kubc6b= 691U6/Tq2k0RExP8n05t6MTiKerx4P0T39/f2vl1HY3ShmWtIteKbUsW9J1CvPxrdm7dinwlVyb= k0zz/m8zMREcdnnfJt6qujMc2Pec9/r7f9PbVYpn+ifb2dH0Dojrz8/VsHLz9Qt3NPz6sTwuPp/= hbVcRETFXWmunie3mae3jsfp6T0c7Z0zTd9YW48+u5l6NNiLeXasVT4CiunrU3IoiviqaueJpnu= 6vf2ubeWsdJG0IzLm5Ns6Jm6fnZ3jkVXLNV6xavcRT8maa4mn7Kvr4878nae6N+7n3BuTU9I21p= esRqduxTqWHctc2OKKerbmIqrie6mrzz5/q49M16u7RNfrj0+3aY/JyxZomKfT7vjwejrQ6NO0S= /rW6b2De1+5VTptu3gzcjq9aIoruT1o463NPZ5ut9U8fTp3RRh0xkU63uSvBu29bjR7UWcKbsXb= lUUzRVz1o4iet9z5r2+Nz7UvWdC1vbeiXcrSrs3cOnMx+vXhTX8uIommrjiOYmO/js9Ecfi0dIm= 4PFqbV+nEya41mjWartyietXfpiOIniYjqdndERPomHoijX1xmmr2+sf2/RxmrTU94di3H0V4Gn= 2cy5p25pz69O1CxhZ1m5gzamibtVMRMT1pir9qP1fqal0c0a/u/WsOa68K1pVy3i0fyZpEeBqia= Iq5nm5z1uZ7eZqn6+50zL6SNcyKtXm5i6fH8rZtnMv8AFuv5NdqYmmKfldkT1Y555+52La28d87= o1DW7OnbY0fXIzr1Gbk4l6zM27VcUxRFVPNcT3RHfM/c5XLeuop9VVXb5zHzhuivTVTiI7uldI2= 1ruzt15GhXcujL8FTRXRepo6nWpqjmPk8zxP3y69Hc7V0sZu4s/eV+/ujTLGnal4K3TVYsxxTTT= FPyZ/aq831v1dS6JN1afs+rdF+5p04NONTkzFN6qa+pVETHZ1e/tjzvqWtTTRao51UZn+7x12Zq= rq9Ee0OgAPY86SEuy9H+ydY3vn5OFo1eLTdx7UXa/D3Jpjjnjs4iWLl2i1TNVc4iG6KKq5imnu6= 0P2d6ba1HaWv3dF1WbE5NqimqqbNc1U8VRzHbMR6X4zVFdNymKqZzEs1UzTOJEq8ypV5m0QkJBA= BQBJIACFhJRZRRnZom7ciiPv8AsfqUxFNMUx2RHY4cK14O11pj5VTnYqlyqnMgDLIxnvZMZ7xYA= GlAAElUkAAABkAFQAVWMhJIfCSIqSsAIglUsOGVU9qcszLpEIKkwipwcKSQSACZABUnvRZ70CA4= AVEmGTGqeIQYVT2sPOySYYlqEARUAjtngwZZW457XIkRxHBzx3ukRhMkosoqPoAdXAAGiUWUAAC= BJV9eiaXm61q+LpWnWpu5WTci3bpj0z559ER2zM+aIZqqimJqntDURMziHcOhLYte9N00+M0VRp= OFMXMuru6/+jbifTV/VE/U2+tWrdm1TatUxRboiKaaaY4imI7oh1/o72rh7P2xjaNh/Kmj5d+75= 7tyf2qv+UeiIiHYrlNU0TFM8Tx2TL8NxHWzqr2fiOz9NpNPFi3j5+XgXwot60xTRsvAuc1VdW9n= 1R5o76Lf/wDKf93637/wTv3dZ/8Ata5/dWnUel3oks6Lt/Vt3X9w5efmeEi7cpuWaaYrqrriJ7Y= ns/adu+Cb+7rP/wBrXP7q09t+bP8ADoi1Off3+rzWuZ1ea/wdl6f/AN0euf8A0W/72hpy3F6f/w= B0muR/8lv+9oadPof6f+xq+rycV+0j6Daj4LMV+TOvr89X+ULvU+zq0f8APlq/p+Hl6jm2sLAx7= uTk3qurbtW6Zqqqn7Ibo9Fm3Lm1th6Zo1+KPGLVua780zzHhKqpqq7fPxM8c/Ucfu08mKPnJwqi= eZNXw+bpr6kdFm4ev3eKTx9vMcf08NN9I/xrh/6+j+1Da34Smq2sDoszMeqvi7nXbdi3T56vlRX= P9FMtUtI/xrh/6+j+1DHA6ZjTVz++zXEpib9MN1OkvW8vbexdT1vAptV5OLaiq3F2JmiZmqI7Yi= Y9PpeCYPwhN228u3XmabpF/HiqPCUUW66Kpjz8VdaeJ+viXtHTt+6XX4//AEKf7dLTXlw4No7Oo= tVTcpz7uuv1Fy1ciKJbx41ek732Xbu1Wqb+nariczRVxPEVR2xPoqpn+aYeC9COl720ncm6tJ2x= e0SL+Feox8urUKbkxV1a7kUzR1Psq7/qeudAGNkYnRHodvJoqorqouXaaZ/0a7tdVM/fExP3ut9= C1dFzpV6SKqOOPHqI++K70T/S8NqqbVF63T7xH+Xprp9dVuqe/wD8eI9MFjX73SZnY+s04l/V7k= 2aaqcCmubdUzbp6sUxV288cfe7BonQPvjUcSnIvzpunTV3Wsm9V1+PTMUU1RH8/L0fRNLx874UO= u5d+iK5wMK3dtRPmrm3bpif5pqfJ8InpF3HtjXMLRNAyacPrY0ZF69FumqqrmqqIpjrRMRHyZ83= n/n+nTrtRXy9PYxE4h4p01qn1XbucZdSn4PG8PWuh/m3f+mw6GdG3noe/twaNt6/ok5+Ha8Fk15= nhJtVRFcfsdWOe/08PSfg37p17dOjatf13UK825YyKKLc1UU09WJp54+TEPzeiT9/e/Ptq/vIcL= ur1E03bV6Yn0x+H5w60WLUTRXbzGXQt3bN3fvbpfztH1HK0W3q9vBoyLldqblNiaIiiIiOYmrn5= Uebh7zuHbObqPRZc2pZvY9OZVp1vFi5XM+D61NNMTPMRzx2eh4T066/rG3OmnUM/RM65hZNWHZt= TXRETM0zTTMx2x6Yj+Z7VurV9SxOhS5rePmXLeoxpVq9F+IiauvNNMzV6O+ZcdVzposTGMe2Pq3= Y9EVXInv8tcd49GGubW1nRtLz83Trt7V73gbFVmuuaaautTTzVzTHZzVHdy7THweN4T/+LaH+bd= /6bote4t57x3BpVq5n5Oo6nZvx4hHVp5ormYnmOIjz0xPb2dj3HE2f0212KK8jf+HYuT30RHW6v= 1c+DfT1Wo1Onppiq5TE/P7w8di1ZuzMxRMw803J0Gb20fTq8614hqdNuOa7eJdqm5EeeYiqmOfs= jmfqfvfBE/ys1r+Bp/tw9v6PdO3XpmlXsXdusY2rZHhetZvWqJpmKOI+TV2R5+f53mvQvYtY3Tn= vqxZoii3TVc4pjujm7y8FXELmo0923cmJx8x9XqjS0WrtFdPtl5v8Jj97Wd/D2P7EPNHpfwmP3s= 538PY/sQ80foeG/wDi2/o+Vq/tqvqJV5lSrzPc86EhIIAKAJJAAQsJLmwrPhLvWq/Zp73DxM1RE= R2y/Ux7cWrUU+fzkzhmqcOSUWUc3IAAYz3smM94sADSgACSqSAAAAyACoAKrGSe4knuRWKopCQM= ap4VjPektQhMAy2ncvIiC8dqSpKiAAAIMZ7xZ70FiQAUcVc81M654jhxyzKgDOCEk4UGssWVuOO= 1IjmeHJDVMM1SANJCTCLKA+gB1cQAaJRZQAAIGy/wbtgxo+lRunVLURqGbb/7tTVzzasz5+PTV3= /Zx6Za36bk04efYy6sazkxarivwN6Jmivjt4q4mJmPveqf9oHedNMU0adoNMRHZxj3ez/9x8ril= rU36OXZj2nu92juWrVXruNit367iba25m61mz/gsW1NXHnrq7qaY+uZ4j72ts9Pe+pqmYp0uI57= I8WmeP8A1PwukDpQ3JvXTLOm6pRg2Ma1d8L1cW3XR16oiYjrc1TzEcy6O8/D+D00UTOopiZddVx= Cqur/AGpxDv8Au3pc3ZubQcjRdSjA8VyOr1/B2Jpq7KoqjiefTEPYPgm/u7z/APatz+6stYHfOj= zpS1/ZGi3dK0rD02/Zu5FWRVVkW65q600008fJqiOOKY8ztr+HxVp+Xp6Yj3y56XVYveu7Pw251= XTsHVcC7gali2srFu8eEtXaYqpq4nmOY+2Idfjo62LHExtTSPvxqXhX/aF3l6r0L8m7/wBRJ+EL= vH1ZoX5N3/qPiUcJ11PtT7fq+lVr9NV3/wCmxmj7f0LR5qnStIwcGqqOKqrFimiZj0TMQ+nU8/D= 0zAu5ufk2sbGs09a5cu1RFNMfa1e1Hp731lWposRpWFP+lYxpmr/11VR/Q6JubdW4ty3Yua5q+V= m9Xtporq4opn6qY4iP5nW3wLUXKs3Zx/dividqmP5Idn6cN/fHbcNNOF16dJweaMaKo4m5M/tXJ= +3iOI80fXMujaR/jXD/ANfR/ah889yUzNNUTTMxMTzEv01rT02bXKo7PjV3ZuXPXU3t3TomHuPQ= MrRc+q5GLlURTcm1VxVxExPZPb6Hn2J0DbEsZNu7XGpZFNE8zbuZPyavqniIn+lrHGu63651H2m= v9Sdd1uY4nWNQ4/ia/wBXw7fBtTaiaaLuIn6vpVcQs1zmqjLb/pF3pomw9uVVVXLEZFNnweFhUT= HWrmI4piI81MdnM+aPuh5f8EnIu5Oqbqyci5VcvXfF67ldU9tVUzdmZn75eBXbly7XNy7cruVz3= 1VTzLlw87NwpqnDzMjH6/HW8Fdmjnju547/ADvRRwaKNPVbir+ar5c6tfM3YrmPaPh7vqu7MXaP= wmdTzNQueDwcqzaxr9fHMURVbtzFX3TTHP1TLvnST0caH0kU4eqWtUnHyLdrqWsnH6t23ctzPMc= xz2988TE+fztWtAxLu491abp2XmXfCZ+Vax6r9czXVT1qop57Z7eOe76nvWJ0A3sSmacTfWfj0z= 5reP1f6rjx6yxb0tVExc9NcR+Dvp7tV6mqPRmmZd66Jdg29g6fm4lvU69Q8bu03Jqqs+D6vEccc= czy6Z0Sfv6359tX95DuWz9DwujXbOdd1jct/Ntzcm9cycuvq9WIp4iimJmfRPd2zMtUtzbiydR3= dq2t6ffycOM7KuXaYouTTV1JqmaYnifRw4aPT16uq7HqzmO/6uuou02Io9u3w7d8Jqf/ABZzf4e= z/Yh77oWPg726GcLTreX1LWbpdvHruW+KptVxTETHHpiqO76mnWVkZGVem9k37t+5PfXcrmqr+e= XLhZ2dhRPieZkY/Pf4K7VTz/NL69/hdVyxboirFVLwWtbFFyqqY9qntej7PwuiXpT21k6rrlrLx= 87w9vw04/gqbNXU6tMz8qrvmqI57OHq/SVtHWt114VzRt45uhU2KaorpsRM03eeOJnq1U9scT6e= /wA3n09zc7NzerOZmZGTNHPV8Lcmvjn0cy5cfV9Wx7cWrGp5tq3T3U0ZFVMR90S5XuF3rlVNya/= 5o/JujW26ImmKfafzbj9Ge1tX2thZljV9z5OvV37kV27l+Kom3ERxxHWqqdB6If39b8/+qv8AvY= a8TruueudR9qr/AFcFnUdQsZFzIs5+VbvXf/MuUXqoqq+2YnmWKODXMV+quM1R+DVXEKc04p7PQ= vhMfvazv4ex/Yh5o5MnJyMq9N7Kv3b92Y4mu5XNVU/fLjfa0tmbFmm3M5w+deucy5NX4iVeZUq8= z0OaEhIIAKAJJADK1RNy5FEechX0YFrmrwtUdkdz7UopimmKYjiIZMTOXGZzKSiyiIAAMZ72TGe= 8WABpQABJVJAAAAZABUASVVCQkVioiJCVSxWe1GZagFRFyEKiqEgggvCSNZABMJPeiygAJVJKsK= u2eUZJLm2nCKAgcLTHM/UBTHHayU4dGEAFhJRZQR9ADo5AA0SiygAAQJKpJCygCoAEkJPeE94Ei= KAk9yLPcgAAQJPcqSKytV127lNy3XVRXTMTTVTPExMeeJfb/LOr+tc72iv9XwwMzRTV3giqY7Ob= MzMvLmmcrKv3+r3eFuTVx/O+dZRYpiOyzMz3SVjuSVjuaZAEEkJFgkAUEq8ypV5gQkJBABQBJIR= +hhWupb69UfKq/oh8uJa8Ld7f2Y7ZfpMzLFU/CgMsJKLKAAAMZ72TGe8WABpQABJVJAAAAZABUE= mFFViSSSCMap8ysZ70lYQBGl8yLPciILxKMlViMphEVAAJRU4RYE4UBjPYwZ1T5mPDMtQgJwirw= xXkMCM6Y4hKI5llMLTBKcqxOWmMrKEgpKcKCOYc3imX82ufhk8Uy/m9z8Ms9Ra3R5OTc2y4RzeK= ZXze5+E8Uyvm9z8J1FrdHlrk3NsuGUc84mV82ufhTxPK+bXPwnUWt0eU5NzbLhHN4nlfNrn4TxP= K+bXPwnUWt0eVizc2y4Ulz+J5Xza5+FJw8v5td/CRqLW6PK8m5tlwDn8Ty/m1z8MniWX82u/hle= otbo8pybm1wDn8Ty/m138MnieX83u/hlOotbo8kWbm2Xzz3jmnCy/m138MnieX82u/hleotbo8n= JubZcI5vE8v5td/DJ4nl/Nrv4ZOotbo8nJubXBPcjnnDy/m138MniWX82u/gk6i1ujycm5tlwDn= 8Syvm138EniWX82u/gk6i1ujyRZubXAkvo8Syvm138EpOFl/Nrv4JOotbo8rybm1wwOfxLK+bXf= wSeJZXza7+CTqLW6PKcm5tl88o+icLL+bXfwSeJZfza7+CTqLW6PK8m5tfNKx3ObxLL+a3fwSsY= WX82u/gleptbo8pybm1wD6PEsv5td/BKeJZfza7+GU6m1ujycm5tl88jnnCzPm178EniWZ81vfg= lY1NrdHlZs3NsuAc/iWX82vfhk8Sy/m178Er1FndHlOTc2y4EnzPo8Sy/m178Ek4OZ82vfgk6iz= ujycm5tl8w+jxHM+bXvwSTg5nza9+CTqLW6PJybm2XzD6PEcz5re/BKeI5nzW9+CTqLO6PK8m5t= l869szxEczL9vTNobq1PG8Z07buqZdjrTT4S1jV1U8x3xzEP0sLo+3rFc117U1mOO7nDr/RidXY= j+uPJybmP+Mvxce1Fq3FPn88uV2H4i70+iuseyV/ovxE3p9FtY9kr/AEY6uxvjy5ci7tl10di+I= u9PotrHslf6HxE3p9FtY9kr/ROrsb48nIu7ZdclHY52JvT6Lax7JX+ifETen0V1j2Sv9Dq7G+PJ= yLu2XXR2L4ib0+iuseyV/ofETen0V1j2Sv8AQ6uxvjyci5tl11j53ZfiJvT6K6z7JX+jH4h71+i= us+yV/odXY3x5WLFzbLrg7H8RN6/RXWfZK/0PiJvX6K6z7JX+jXV2N8eV5FzbLrg7H8RN6/RXWf= ZK/wBD4ib1+ius+yV/onV2N8eTkXNsuuI7J8RN6/RXWfZK/wBE+Ie9forrPslf6L1djfHk5FzbL= rg7H8Q96/RXWfY6/wBD4h71+ius+x1/onV2N8eTkXNsuuJy7J8Q96/RXWfY6/0PiHvX6K6z7HX+= h1djfHk5FzbLrg7H8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHlORc2y64Ox/EPev0V1n2Ov8AQ+I= e9forrPslf6L1djfHk5FzbLrQ7J8Q96/RXWfY6/0Sdh71+ius+yV/onV2N8eWuRc2y61PenDsnx= D3r9FdY9kr/Q+Ie9forrHslf6HV2N8eTkXNsutTHZ2I7N8Qt6fRXWPZK/0Sdh71+iuseyV/odVY= 3x5Xk3Nsut98I7J8Q96/RXWfZK/0T4hb1+ius+yV/odVY3x5OTc2y64yh2H4hb1+ius+yV/ofEP= ev0V1j2Sv9DqrG+PJybm2XXkl2P4ib0+iuseyV/oTsTen0V1j2Sv9DqrG+PJybm2XWx2P4h70+i= us+yV/ofEPekf/lbWPZK/0Oqs748rybm2XXB2L4ib0+i2seyV/ofETen0V1j2Sv8AROqs748rFq= 5tl1ye9JniHZJ2JvT6K6x7JX+jjq2PvLnj4r6v7JX+h1VndHleTc2y66OwfEfeP0Y1f2Sv9D4j7= x+jGr+yV/ox1FrdHleTc2y6+xdi+JG8foxq/slf6J8R94/RjV/ZK/0Ootbo8nKubXXk4dh+JG8f= oxq/slf6M6NibzqjrRtbV5j+Er/Q6i1ujycq5tl1+I4jgl2P4ib0+i2seyV/ok7E3p9FtY9kr/R= rqbO6PJyrm2XW+xOHZPiJvX6K6x7JX+h8RN6fRXWPZK/0XqbO6PKcm5tl1yCYdj+Im9PorrHslf= 6HxE3p9FtY9kr/AEOps7o8nJubZdbHY6tib0+iuseyV/onxF3p9FdY9kr/AEOps7o8pybm2X6PA= D8C/WgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD79v6Vla5rWLpOHTzfybkUUzPdTHnqn6= ojmZ+x8D3n4P20/ENKr3Hm25jJzKerjxPfTa/wBL7ap/oiPSg9G25pGJoeiYulYVHVs49EUx6ap= 89U/XM8z979EiOBAAAAAAAAAAAAAAAAAAAAAAAAAcVc8yzrniOzvcYJwjIBiLwgJMCgIkxyvADH= jhO9mkwDHhGRwDDgZcJPcDivVdSjmO/wAz4/O5r1XXrmfNHZDjmBWExDGaWcwA4+IThyTDGY4US= 3RNdcUx53300xTEUxHEQ48S31aetMdsudFYpLLhBEJXhBMJwjJOBUlOIZSgNRAGkAAAAAADl+1t= bFx9Qp1PT68eLmVcw6rmHVH7VNy3MVzEfbRFcfbw7PG29OqysKIxaJtaPdm1rU01TPhOra8NVM+= jmabtv/dp88g8+OXctH0zS8/B03WrmNTRj4l3I/lK1RMxE00R4W3H1daJ8H/ux5zWNP0rS8bUNW= oxaLuPlZdidNtXJnjwVVMXq/t4iaKJ+2QdNHoVe2NPs39QsXMejjVbtVGi1TVPyafBeGpmPTz17= VH31eh1nc2HaxKMLDx8Oqi9i4VurOucT23bny+30cRVRT9sA/Dct+xXZtWrlVdqqLtPWpii7TVM= RzMcVRE80z2d08T53bNcr0jQ8qNCo23j5seL26qsu7cuReu1V24q69E01dWKYmeyOrPZHa59O0H= TM7L2xau0UWreRpt7JyO2qJvVW670xE9WJntiimPkxzx3RyDo47nuCjbuVoGVkY06RayseqjwP8= m2sziqJniabk3aer3czE8xPZL9CbG36922tq29vYtFrJot0VZc3Lk3qLldqKutT8rqxETPdxPPH= 1oPPHLTYrnFqyYrtdSmuKJpm5TFfMxM9lPPMx2d/HDsmLGnaNtfT9Tu6NjapkZ927FVWVNfg7NN= uYp6sRRVHyp55mZn0cQ4rmLh5e2NSzsbTYxrs6pYt2bfXmubdFVFyepEz2zHMR39vZCjrZ//ALv= eh5ek6VXpuqadXjaFZzcDDru8Yd3IuZFuu3x1uvXMTant5iY5757H5moXNK0W7i6RG2cbUPCY1m= 5cyrly5F6/NyiKubU01RTTETV1Y7J/Z7fOg/A1XSbun6jn4dV6xXOFX1a6puRTNfbx8mmZ5n7I5= fnO77ixMa/rO9712x1rmNMVWZrj5VEzfopn7+JmHz6jc0rRqsTSPi1j5/hcazcuZNdy7F69NyiK= ubUxPFMRNXEfJnu7QdVosV141zIiq1FFuaYmJuUxVPPPdTM8zHZ2zEdjG7buWa+pdt126+Inq1R= xPExzH88TEu5a1p+nadc3Jes6faqjT9VsUWbV6KpiKObnNE8TzxPViJ7eezvfRr1yjWt5YuJRom= k26LOLZyL1XhLlqmq3GNRXPhKpqniimO7jieI75lR0S1T4S7TbieOtVFPP2vs3Bptej65naXcu0= 3q8W/VamumniKppnjnh2jcmHpdzRcPVcG3pVF2jUIxq503w8WqomnrcT4aP2o476eztfl9I1q7O= +NfvRbrm1TqF2ma+rPViZqniOfT2T/Mg66cw7xqEaNo+uWNufFrHz7dUWabmTcruRfvTcppnrUT= TVFMR8rsjie6OUu4Gk7ewtduXtOx9WvYOrxh49V+qqKOrxc5mqKZjn9mOznv+xR0gdy1W5pOheJ= afO3MTUJycW1k3ci7cuxXXN2mKuLXVqiKYp56sTxPbHa/I3zh42n7sz8PDsVY9i1XEUW6u+mOrE= 8T9YPxAAAAAAAIiapiKYmap7ojzg7P0Z7Xubq3RZwqomMO1/hcqvjuoif2ftqns/p8zaaxat2LV= Fq1RTRbopimimmOIpiO6Ih1Dom2rG19sW7d+iIz8ri7lT54njso/3Y/pmXcmQAAAAAAAAAAAAAA= AAAAAAAAAAJEq5nsBhM8zyizCAnHApwCBMAJMIyAYizCAgpwCJwoDFxX6urTxHfLmmYiOZfLXM1= VTIsOLhJhnwgrCYSYZzCcA42Vqjr1xHm86zD6LNHVo+ue2RJZ+bgAQAFSYRkTAMeEZIIgvCA1CA= aAAAAAAH06ZnZemahY1DBvTZybFcV264iJ4n7J7J+9z2Na1Wzb1C3azblNOpRxlxxE+Fjnrdv38= 93pmPPL88B9mJqediadmafj5E28bNiiMi31Ynr9Weae3jmOJ57jN1PPzcHCwsrIm5j4VNVGPRMR= HUiqeZjsjme30vjAfoX9b1a9Vp1VzNuVTptNNOHzEf4KInrRx6e30+iI7ohlk65q2RVqU3s2uqN= TqivMjiIi7MVdaOeI7OJ9HH8z80B+zjbp3Bj4EYVnUq6bVNE26Jmimblumf82muY61Mds9kTD46= 9W1KqcGrxuumrAo6mLVRxTVajrTV2THE99Uzz39r4gH6usbh1nVrMWc7M69qKuvNFFui3FVX+lV= FMR1qvrnmXDTrGpU6zb1inJ4zrc0zRd6lPZNMRTT2ccd0R5nwAP09H1/V9Js12MHL6lmuetVauW= 6blHW7ut1a4mIn64jlx5WsanlWsi1k5ly9Tk36ci9NfE1V3KYmIq63fHEVT2cvgAfuZO7dw5Niu= xe1GaqLlubd3i1RE3aZiYnrzFPNc8T31czHmYYO6NfwsGjDxtRqptW4mLczbpqrtR6KK5iaqP92= YfjAPvv6zqd+5n3LuT1q9Q48amaKf8ACcVRVHm7O2Ins4dq0TOro0nEt0b6x8TGooiK7d7EqnJx= /wDSptVRRVMR38cVU/ZHa6MA/Y1/XcjUNQ1auxVVbxNQy/GJtVUxM9k1dTme/mIqnuSNya3FWDX= Tm9W5gUdTHri3RFVNPHV6s1cc1Rx2cVcxx2PyAH6up7h1jUrUWszLiu1Tcpu026bVFFFFVPPE00= 0xER+1PZHf5+XHn65q2dby7eVmVXKMzJjKv09WmIruxEx1uIjs757uIfnAP2sPde4cTDpxMfUq6= bdFPUt1TbpquW6fRRXMdamPqiYfmxnZcadc0+Lv/drl2m9XRxHbXETETz391U9j5wHd9v51y3o+= Nas73xcKxRH+Es5OJVVex557fAzFFX2xxVT2+h1zdmpWtY3JnalYpuU2b92arcXP2urxERz9fEd= r8sAAAAAAAel9A2051fXp1vMtz4np9UTb5jsuXu+I/wB3v+3h5/o+n5WrapjabhW5uZGRciiiIj= 0+efqjvmfREtr9paJjbd0HE0nEj5Fijiqvjia6v86qftlJH60RxACAAAAAAAAAAAAAAAAAAAAAA= AABLGFn0AITCgjCYRmkwKxOFnsQEFJgESYUBOEZJwCJwqVTERMyDhvzPHVj73C5J5meZ70mIkWG= EpMMpiUFY8Jwz4SY8wFmjrV8z3Q+hLdPVpiPP52QyicLMAMRknAIAAnCgqIyOAa3+TPfHqK5+db= 948me+PUVz8637zaAXKNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPz= rfvNoAyNX/ACZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/y= Z749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvH= kz3x6iufnW/ebQBkav8Akz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8me+PUVz8637x5M98eorn51v= 3m0AZGr/kz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8AJnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M9= 8eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ= 749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/wCTPfHqK5+db948me+PUVz8637z= aAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me9/UVz8637zaAMjyroT2Hl6= FdydY1zGiznTzax7c1RVNFP8AnVdnZzPd9kT6XqpxHogQAAAAAAAAAAAAAAAAAAAAAAAAAAEmFB= EADIAGE4SYZAZYIzmEmBWKcMkBBU4AcN6fldWO5yV1cRy4e8GKTDLhBWKTHLNOAYcSzs08zz6CI= 5nhzU08RxAJwKCMTheAGIpwDHhJZAMRZhAAAfoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgpwJ7oEwAAAnDGYZgMEZTDC52QK4655q+qGEwzlAYD= KYSYBjMehGREczwC2qe3nj7HIccAInDIBiLwnAJwjIBicLwgIKkwCcHCgPuAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOAEwkwKSCAgo4qp608s= 657OHHwJhJSWRwKx4RlwnAMeGVuniOfSRHayAOABBU4AABJhGQDEXhASUZJMAnBwqA+0AAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJ445Vj= X2iYYTzyjJOBWPBwoDEmF4POBTCgCcIyAYi8IAnCgIKnACKAnCMkQQ4ZU0zVVEQ5vB0ehRmAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABMse= FnvBGMwkwzSYDLBJhnMJwKxWIAE4FAQJAE4UBOEZJwCC8IBwigIkspgopmqrjzA5LNPEcz3y5Of= qAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= ABJVJAAAAEwJMKAxmE4ZpwKwFmAEOABOOBTgEAASYUBiMkmARzW6eI+1x245q+qHNAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgnHCn3= ggqcCgAAAgnCgMOEZpMCsRZhACYAEFSYABlbjmeQZ0xxCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJg4SVAQAXIAGAATCJMMgMs= OEZ8JMCsRZQDjlyUxxHEJRHnZAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACJMCgIHCCqAAAInCcdrIgFAFAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAO04ARBUDIAKR2qQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHHaAmAAUAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAmU5fkbu3Hpe19LjU9YvV2cTwlNublNE19WZ7uYjt4= YbZ3PoW5sa5f0LU7ObTa4i5FHMVUc88cxMRMd09/oa5dfp9WPZiblMVenPu/a5OWq1vpe3roOu5= +PGfb1DGt5VyKbWXR1uIiueyKo4q7vrbI7M1ivX9radrNePGPVmY9N2bcVdaKZnzc+d6dVobumi= Kqu0vNptbb1EzTT3h+z5uSJ5dO6Yd31bI2Hm63Zooryommzi0V/szdqniOfTERzPHn4eDbL0bpw= 6QdMr3HibvvYWLeuTFqq/m3LNN3iZiZoot0zEUxMTHdH1PI9jarkeG5WD0j7J6MLtOq9IGlYesX= dXpqt6hm3671qLE2uPBc3LVUxVNVMzx1fv8z07B3Fp+kbJ0nVNzbg06nwuHZm7m1XIotZFybcTN= VHMRzFU8zEREdnmgHZB1XTekXY+pVZFOBuXAyJxsevJvRRXM9S1RHNVc9ndEPmp6VejqqqKY3fp= fMzx23Jj/kDuY+LK1fS8XSf5WydRxLWn+Di541Xdpi11Z7qutzxxPMPwNN6SNi6nqFjTsDc+n5G= Xfri3atUVzM11T3RHYDtg8p6LN1alas7l1DeG/ND1jBwq7c0V4nERiUzVXExc4tUds/Jj/O7pdl= sdKXR5evUWqN36V1q54jrXurH889kA7iJTVTXTFVMxVTMcxMd0qAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADy/wCE5+7G5/F2v= +bqXwR+7c3/AA3/ALrtvwnP3Y3P4u1/XLqXwRv2dzf8L/7r7Vr7sq+v+HxLv3jT9Hie5P8AKHUv= 4u7/AG5be9EP7sdv/wADR/U1C3J/lFqX8Xd/ty296If3Zbf/AIGj+p6uNfYW/wB/Dz8H+3ufv5d= D+GBjX7/Rfi3bVM1UY+qWrl3jzUzbuUxP4qoj73Yvg46jg53RFotvEv267mLbqs37dNUTVbriur= sqjzc9/wBku5bm0TT9x6Fl6LqtiL2Hl25ouU88THniYnzTE8TE+mHgWb8GOvxu7Vp28PB48zzRT= ew5muI9EzFcRP28R9kPzb9G7V8MCf8Awtxv9q2v7u68d6UMvJzNf2Fpl/TsnVMTH29p82sC1VVE= 5M1URNUR1YmeZ4insjn5L1ijoLyqejC9s6rc1mq7c1enUIyZxZ4iItdTqdXrffzz9z9je3Q1i7k= 0Lb1q1rN7Tta0TBs4lrOtW+YrptxHHNPWiY7YmYmKuznzivP9sY2NOi7xrp6KMzaVdvbGfNObeu= ZExXPUiPB/4SIjmYmZ9PyX42wdibY1b4PmvbozdPmvV8SMmbORF2uJp6lFM09kTxPb9T1HQeine= GLa1bH1jpFzNWxtQ0vJwabN6m5VTRVdo6sXOJrmJ47X6u0+jK/oXRJquxatYt37mfF+IyosTTFH= hKYj9nrdvHHpEa769m5eR0NbD0i7l3KMK/qGb4Tmrsjq3KIp/m8JXx9rZTbnQ/sHRM7C1LT9Gqp= zMOqm5avVZFyqrrR3VTHW45+516joP0/J6LsTZ+p6rNzKwsi7kY2fZs9WaJrntiaJmeae7mOY7o= 7YfPszoh3hoGv6Zm3ekjPzMDCvUVThzF2mi5RT/mcTcmIjj6uAeadE2p6JpG0OkrL3Fg1ahp/hs= eivFprmnw1U3LvVp5ieYjrcdvoj7nXN3VafnbOu52n9EWZodiuKLlrVqb+RctUUzVEd9VPVmKu7= v75h7hoHQZbxNu7o0XUtc8Yt65ctXbdyzj9SrHrt1VVUzxNU9btqj0d0+l+Fe6BN23dH/kW50l5= NemRTFEYlVi5NrqxMTEdXwnHETEcfYD0noAy8jN6H9u5GVdqu3IxqrfWq7+rRcqopj7qaYj7ne3= XOjPbde0Nkadty5l05dWFTXTN6mjqRX1q6qu7meP2uHYwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAeX/Cc/djc/i7X9cupfBH/= AGdzf8L/AO67b8Jz92Nz+Ltf1y6l8Ef9nc3/AA3/ALr7Vr7sq+v+HxL33lT9Hie5P8otS/i7v9u= W3vRD+7Hb/wDA0f1NQtyf5Q6l/F3f7ctvOiGf/DHb38DR/U9XGvsLf7+Hn4P9vc/fy7NnV1W8DI= uUTxVTaqmJ9ExDVLYm6OnPe3js7d12rIjCqoi914x7fV6/W6v7VMc/sy2r1P8AxZlf6mv+zLX34= Fn/AJW7P9Zi/wBV5+bfo4fNsTpR37t3pKs7Q6RqvC05N2ixVNy3RFdmqv8AYrpqojiqiZmOe/7u= Jeoba1nduT0raxpeoZej16FZornFtWL9qrJpmJp469EVdaI7Z74jzPFfhN128zp10jGwZivJoxs= WzXFM9sXJvVzEfbxVT/PD7sXUcnSOnLpL1PDq6uTi6TmXbVXHPFcRb4nj6pBsVnbk2/p+TVjZ+u= 6Xi3qe+3ey6KKo+2Jnl1rpG3RmfE69n7G1nQr+ZayLdFV29mWvA0xPPMTVNUUxPojl4r0KdFW39= 77JzN0biy9QyM25lXojwd+Kf2YieapmJmapmZnnn0OmaHER8H/c9Md0a3iR/wCmoHs/TdvzXdv9= F+3snA17Dxdx5FePVmU4tdq51qarNc11Ux2xNE1xHFUdnd2vS9qbq0jM2liajka7p1ybWJYqzbv= jNHFquumP25ieKZmrmO3jta9dN+29Lt9C+yN1027n8qXMPAwaq+vPV8F4tXXx1e7nmO93bL2z0d= 7G6FcnM1TEzq8PW8bCqy7Nq/M3L92ni5RTRM9lPbNUz9UT9gPXMfde2Mm/RYxtxaReu1zxTRRmW= 6qqp9ERE9rzLpX3duLSOmnZ+habqdzH03Pmz4zYiimYuda9NM8zMcx2dnZLwLeU7Mu7fjJ27s3c= ek3+vTVby8nIm5Zqp9Hd5+Y4mJ9DvWtZuVqO/uh/Nzb1V/Iu4GFNy5VPNVc+GmOZnzzPpBtTAQA= AAAAAAD8PfG4MbbW28rVL/wAqqinq2aP9O5P7Mf8AOfqiXgHlU33zP/xqI+rxWz7gNmxrJ5VN9+= u49ks+4eVTffruPZLPuLgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367= j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyq= b79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+= /XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsay= eVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHl= U3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbN= jWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9= w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcM= DZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZ= LPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz= 7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79d= x7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/Xce= yWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTf= fruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU336= 7j2Sz7hgbNgIAAAAPL/hOfuxufxdr+uXSfgp52FiVbioyszHsVXZxvBxduxTNXHheeOe/vh7zq+= mafq2L4pqeFj5mP1oqm3eoiqnmO6eJfkVbE2ZMdu19In/AISj9Hvt6ymnTTYmO85y+dd0lVWpi9= E9vhrruLok31d1LNzsTSrWXYu37lymbWVb5mmapmOyZh6F0e9It3auiYW3t57c1TR7WHbps282r= Hrm3VEeers7Pu5ek2NlbYxuZw9IsYcz3zi1VWZ/nomJc8bdtW4mnG1LU7duqOKrdzInIoqj0cXe= t2fZw6XuIc+iKLsZiP0Ys6CbNc125xMvtsZeJrGj13tOy7GTZv2qot3bdcVUzzHHfDWvTPg/9JG= mzd/k3dmmYXhJia/F8zIt9bjnjnq0RzxzP873jE2dj6ZkXM3Rb9Om5NUzM02LfVsXezs8Ja56sz= /81PVn63Z8abk2om7TTTc4+VFM8xz9T51WM+z6VE1Y93h3RZ0E39A3RZ3LurWLWpZuPc8LZs2Yq= qo8J5q6q6+2qY74jiO2Inme5+3onRdnWeljc259Uv4ORpGtY17H8Woqr8L1bnU5ir5MRHZTPdPn= etJMcstNVq9nZ+1bmda2X0y6BjaZc5uV2bupRbrniJ7Jpp60TPHZzHHPofN0PbM1Pe/Q9uLR9Ov= 41i7d1excpu5E1RRPUo5qj5MTPPyo8z2SvoG6Na7lVyrRsiaqp5n/AL7e7/xO97b0DSNt6Ta0nR= MG1hYdrnq26OZ5nzzMz2zP1zMyK6HvXozydzdD2jbNuZ9jH1DS7ONNF6Imq1VdtWptzE9kT1Ziq= rt457ux1ux0R7y1Xo+z9r7t3VjZUW6sevSK7XWuU4824rpmmrmmmZiYqpjvmY4+rt7rujU83P3n= Z0rCuX7GNptrwmfNNVdEVTdpmLcxNMTz1erNXFUxEzMejs65rd/eutZ1i9GHrODHgZt0049FVvw= XhOrz1p5+XVT16O2eI5t3PNPLtRYmr5eeq/jtDquq9EfTBqm3adu5+9tIyNLt00UU49ddziIo46= kcxa57OI879+50Sa/Xruws/wAf0zwe3MbHs5Udevm5Nu5NUzR8ntjifPw7Bcyt5YOhYFjBwL1zx= m1NNyK4u1XLHWimmOZqmaoqpmvv7qot1TERzD6NG1HdOu61gWNS0vK0/CouU5VdUW6rfbFuKvBV= VTPyoiq5THPEczbq7OJ7HJnGcrzo7YeiUqlKuLsAAAAJVPCuidM27I25tmbGLd6uo5vNux1Z4qt= 0/wCdX90dkfXMegHlXTduyNwbknT8S51sDT5mimY7q7ndVV/RxH2c+d5+faKACgAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADdABkAAAADgAODgAOCIi= O4AAAAAfLXp2Bczac65hY9WVTTFNN6bUTXERPPEVd/D6erT6FBMJ1Y9BFMQoKAAAAATPAOLMyLG= Li3cnIuU27Vqia66qp7KaYjmZaqdIG5L26dzZGp1zVFjnqY1uf8AMtx3R9s98/XL0/4Qe6/A41G= 18K5/hL0RczJj/No76aPv75+qI9LxBYABQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAABugAyAAAAAAAAAAAAAAAAAAAAAADG5+yANXemD94+sf62n+= xS6mCgAoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAA//9k=3D" width=3D"793" height=3D"1121" alt=3D"" style=3D"margin-left:-1p= t; position:absolute" /><img src=3D"data:image/jpeg;base64,/9j/4AAQSkZ= JRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBA= QEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAAbAE0DASIAAhEBAxEB= /8QAGwAAAQUBAQAAAAAAAAAAAAAABwUGCAkKAgT/xAApEAABBAMAAQQCAgIDAAAAAAAFAwQGBwE= CCAkREhMUABUKFiEiGCUy/8QAFwEAAwEAAAAAAAAAAAAAAAAAAAECA//EACkRAQACAAYBAwMFAQ= AAAAAAAAECEQASITFBUQNxkfATImEygaHB8dH/2gAMAwEAAhEDEQA/ALAbx6gFUHCruua3rKsFM= MDvK/BjZu2mcwdmDZDW+LBBRGGRYS3M6bOyDrRuPBR8MxTTQatUEUk9Go5nvujzW3N/m+6DizK0= o6FqbmeLnGqRiK1tedm26ftJ0HdJ4cMNZg3jZduPhxR033S3cDFMvXg7ffZF4gi4TUQ1DjUFHp9= 5X/HtX1jtGj+vMdg+QCyRAYpjTcPIbgrE/dUprRB6grn4FnkcMMk5QE13122/asENE9d9lM6ZcD= 3yLdzI0R2hNAl83CT7Urt/ZDeV8go8yOCkS5trYN0fXsL2s8JJW8FS+6+iVIF5XN443LyCQNp+m= OeGmjF21EKI75QhG5S1Va1V6/c29TGEPGOaaqynLmVVZ0n5DeivTHcTv/oqsb6R5H7biswo6/zA= R/JqzMArSmcgqO9I6I2/7l9WUpWKtt1ioVPbRcvGSCSRhmh7190fj11yoSWJnproe4bApHmWTvI= 8ypSLBZX0HfVjy+ekINWmZQyfFYrBQQNjJWDmY2KcCMFpAuLw/Yj4+Eci3pV3osWHN1mF5GZrA7= Y8aNMXvGulpv1VN6i8idFo863tPapzVUrLE5OeZx2YQmOqpxeHpS6OrRAhJ3hMoNE5HkHUc0YPf= sPY5ndB78/T6q4QO8jXAnQBpKuMd1OJVcHPFklXbIKIs0zJaNhVYyylxUkKbIimtiRArWwwuCjT= 9ym5PBZfs5EJqrNXSP4EIxnu/cLlWyzLw+51V+k/SieWm0lBlWaVWINFrrduv8XgftJJ1jV1HVv= 1jM7KK3NyzOZElFJjJGidg1PbVEE3koViI0xY0FdziRMlYo8K/RWXfJP2bwWFLhzLhtuye/Lp4Z= l0nI5b0Xjk+sOi67qGaBq2dW9Zln37c8hDRWBwJogs9xkPH1pgJfTGSKjGrs45HNXrVsGjzfcyT= X0bKoZ3APKsIiPEfgmeePSS5Jp9w972bcZUnz2SeiSk4rlmYsJhVyNlyEKIcO14pXounKlhk+SO= G9m6T82a2RGLrOHCLNKQEAhXKzqy+v8AmbsOrqIlqnW4qt57yjL+icaAa4K27X1QDKoJVgpZSOi= JuEyfdyAFycQmDKMCxYWXL6CcPXbdZv8AhljnC6qN5RDkD8/7d4bCB5IRuhtY5mmq4sdSzfbCGP= uO44dSy/W4XqSOdh8fxmfK17c9h1i9sWBz2jHO0n/q7SdyOJuZiabG63cOXIo8qTaKtSDWEGB0t= y2WH7OstyXOLWuKVTKa11T1hsYKIp6t07h6S6LuGxZ3pU9BVw51eKBnBFgOkCL+Uy6TpCyboJH2= jlsjoOYOHzt1jZRk2dxFuvPcPOXJ9wcqZ6Fqo4968aTzmioPHdI5Nv0TYcBqGVR4hUhu3x12JZZ= y6PxCFi/t2XGSVgJEhI6JtI4D2cInd8M2xUBs4PXAHsnjW3Fa70U7RgNGlucZbeshMwqoLJtujG= IRq7o2cT8SQFbxM0fzFhRuItXxRFscWIk09ESe7RYU/piZxXcdO6y+9b/5gfH4zyRjdXGX25nVM= tCK8Mni67MeOM9GWI3gkxvSuevYx2vR1Rrx9XohjBGVzUzdlHxOULKIjLWVgM2O4cS2tNMprOnZ= Vog2zqIbuSLN07+i7R10HeLWVGpMn0u1eSo/IwY6wK9fRz9wfJyBJk2PVXHXbvIpwYdPlWrIhug= i+2bNlE2m7lRd5hHDh04VVoL6GmthjrX6E6Cv2CVXTF59F8AN/HFzHxTVNsxa47Cswkdlw6Snbq= mOYcq5YgK6r9qL1RZHjCnwiophdu9eNyWGg97dz4co+tE490FFnK/2nEbNUkBXc+u2cOFxFKxwe= strnbGNs6qqN9t9c5xjOdc49cev4yo+SKB+mWxVbb12aGnBi4wgebxxrRjNYqpplRpdxd8YfLn8= j7Cddx9D8v29KRnOz6hO4b8kfLPUcc0dfs6pt6HdDT4jGy01TWV2bLRQ5ursHkGc4SHJs1vcV1w= Owuu31HVX51OrYRChQK+vHVP7qm2g9m3Y2/ypOIJKams7OqOmjWTN9Cb5uTiTQtrjV2okRw4bMs= Lb6Jb7I667Zx8d28w0aZ7f7IMEoP8AYIleqehCRBxiSy9D7D19bcudOl/hbn0kEsquFVFPjRSTS= 093tT000xrrgZxSFMYAJ3AweR2dEAm+m+mREbuO2gw3Gu+ce/2MR81QbJ529c+uyaeu2fXP+fxh= W2h13t3eKp3jVNNN6e3Zv+e8XG+VDyg2VLJXAL769GQytlqaIPpVyF4+4zLh01Oa2a7HOBjG8eg= zwPfA9vvFxzp6lHGDVPVBsu9dNhqi7h0R11hBzj5KeufJO9sWn1Kh5OKB4dCmE7NCrXjsvPAiiT= 2ewyuhDFiPFi5KvkqtI5yFxo6UZoIMmmrt2q8SwjjXeAZfmelz5B0XOxUiaKvVdlnhMtN58RIO1= tv/AEq5ePJQs4XU29Meu6qm22fT/Ofwl0/AYzRBY6cqJEvBS0kCpRw29ESmU7KkAyRoVI27RXD0= y7T02ZyAAENMXSOiTxgUFMXzNwg5bpqajEUUFNn5898GSK5pBKXb1pxtxg82F3r0B4843AZZG6E= 4fizS/GDyRQzepB7/AAamMIDNxjF9MCmG6LMkOBDZ3tKaq3YSDdkUTsOs7FD6CsJRvd85enP3ks= 7b8kGLCqePUFyzPUYtHBUmMwuxGBR63PjnskGR5XUGLeakUipQQkRWPOWaOmj79KLKOGOrhyho2= VhXMaSrifN4k0mYkxJW8Fj5CLRBMtNJu6wAjxWay6xiQphtvI/fo1fTmeTGUOdd9t91S8iJudt8= 5X9NV2rawiNMF8yKqdJJADuXgF/+3jE6nQx/h5GTjORgXGrlCSYV1UFnB7Mk1zrtj2uW+mdsba+= 7XM5IXeUvv56YX0vHd5I2c1rx/wAMSGsLvK7PHu2RUjlJ8PRGeHcif7fC6wikxHTAGIkYnSSwwg= fOLR8WDKDpJHV2RtmzDyQquLSetUCrNg9wogi4OffK71p5AJHKqKWqrlR8xRhD+Yv4/ZwaSn2Eq= QHHY6CRj0aiTBnITEvlaz6SsyDYIEDviqQQaeON0FEwy+uY6WHG2VsRYDCbHISqYxWNkHhIMGNT= eZuG7R883Wyo4331P6OHe6WrhdFlh6s51GtllGo/Vq23yllCqisIZSZ97J6sYk4abJiVQBJ4NlE= qW1IB1iA0v9B60fmnjJ0igYDhzLLK7ZTdgZECy7HduRHM3KLyR00NNTDfHBczEs0Hn5pg6T7ubp= 3x5x+qLAZ8gcm1mn0FGjhYUQhMLNBjaGI0WQYkYrJ13TMWSYlUGD2OSNQFsptq2ESEGq8SbPt1W= rfXr/Fu67nvbvPHWd12GHj8dkX/ACIARHZhGk3Wo3LIDUkNWar41drKrYXUySVwr/v7c4109uMe= mfXFvacXZ3SNbjLaMTexB7A44kg9nLbGsA0gNNvhYwG+IDU3kmUwOVfCw4tq+0ZfAi8+g2WcpKu= EtVfzZ5/FUraF1lyF0YLhAbIRiR6Ry/eIYJFiXzO8VjBm+FflLP36yfoiknp8aSmiX+vu9nvztt= kyR3ovDIRi5gpqr5r+sf/Z" width=3D"77" height=3D"27" alt=3D"" style=3D"margin= -left:441.05pt; position:absolute" /><svg font-family=3D"Times= New Roman" font-size=3D"16" height=3D"41.33" version=3D"1.1" width=3D"209.= 31" xmlns=3D"http://www.w3.org/2000/svg" style=3D"width:209.31px; height:41= .33px; font-family:'Times New Roman'; font-size:16px" xmlns:xlink=3D"http:/= /www.w3.org/1999/xlink"><defs /><g><g><path d=3D"M0,0 L209,0 L209,0 L209,41= L209,41 L0,41 Z" fill=3D"#7c7c7c" fill-rule=3D"evenodd" /></g></g></svg></= span><a href=3D"http://www.anatomiadigital.org/" sty= le=3D"text-decoration:none">www.anatomiadigital.org</a>ISSN: 2697-3391= Vol. 8<spa= n class=3D"awspan" style=3D"letter-spacing:-0.2pt; color:#ffffff"> <= span class=3D"awspan" style=3D"color:#ffffff">No. 2.1, pp. 19 =E2=80=93</s= pan> = 33, abril - mayo 2025 = Revista en ciencias m=C3=A9dicas, salud p=C3=BAblica Art=C3=ADculo de revis= i=C3=B3n bibliogr=C3=A1fica.3.Ehrenfeld E. Effects of </spa= n>traumatic brain = injury </span= >can include heari= ng <sp= an class=3D"awspan">loss or tinnitus. Health= y Hearing [Internet]. 2021= [cited <= /span>2025 March 22].</s= pan> Available from: <a href=3D"https://www.healthyhearing.com/report/53276= -Hearing-loss-traumatic-brain-injury-concussion-tinnitus" style=3D"text-dec= oration:none"></a><a href=3D"https://www.healthyhear= ing.com/report/53276-Hearing-loss-traumatic-brain-injury-concussion-tinnitu= s" style=3D"text-decoration:none">https://www.healthyhearing.com/report/53276-Hearing-loss-= traumatic-</a> <a href=3D"= https://www.healthyhearing.com/report/53276-Hearing-loss-traumatic-brain-in= jury-concussion-tinnitus" style=3D"text-decoration:none"></a><a href=3D"https://www.healthyhearing.com/report/53276-Hearing-l= oss-traumatic-brain-injury-concussion-tinnitus" style=3D"text-decoration:no= ne">brain-injury-concussion-tinnitus</a>4.Molina-Delgado JR.<span= class=3D"awspan" style=3D"letter-spacing:-0.15pt"> Hipoacusia neurosensorial laboral= <spa= n class=3D"awspan">por exposici=C3=B3n al <= span class=3D"awspan">ruido. Revista Multidisciplinaria</s= pan> Perspectivas Investigativas [Internet]. 2023 [citado el 22 de</sp= an> marzo del 2025];<= span class=3D"awspan" style=3D"letter-spacing:12.65pt"> 3(2): 20=E2=80=9325. Dispon= ible = en: <a href=3D"https://doi.org/10.5281/zenodo= .10049358" style=3D"text-decoration:none"></a><a hre= f=3D"https://doi.org/10.5281/zenodo.10049358" style=3D"text-decoration:none= ">https://doi.org/10.5281/zenodo.10049358</a>5.Uma=C3=B1a Conejo<s= pan class=3D"awspan" style=3D"letter-spacing:0.05pt"> D, <= /span>Montero Madrigal D, </spa= n>Rodr=C3=ADguez Villalobos= G. P=C3=A9rdida de<spa= n class=3D"awspan" style=3D"letter-spacing:0.05pt"> la audici=C3=B3n en el<span= class=3D"awspan" style=3D"letter-spacing:0.35pt"> adulto:= Revisi=C3=B3n de<spa= n class=3D"awspan" style=3D"letter-spacing:0.35pt"> tema. = Revista Ciencia Y </span= >Salud Integrando Conocimientos</sp= an> [Internet]. 2021 [citado</= span> el 22 de marzo </s= pan>del 2025]; = 5(4): </span= >47-52. Disponible en: <a href=3D"https://doi= .org/10.34192/cienciaysalud.v5i4.300" style=3D"text-decoration:none"></a></= p><a href=3D"https://doi.org/10.34192/cienciaysalud.v5i4= .300" style=3D"text-decoration:none">https://doi.org/10.34192/cienciaysalud.v5i4.300= </a>6.Pomponio MK, </sp= an>Roehm PC. Aud= itory </span= >Dysfunction After Head </sp= an>Trauma: Causes, Evaluation,</sp= an> and Treatment. Current<= span class=3D"awspan" style=3D"letter-spacing:2.7pt"> Physical Medicine and Rehabilitation Reports [Internet]. 2024= [cited 2025 March<s= pan class=3D"awspan" style=3D"letter-spacing:1.4pt"> 22]; <= /span>12(3): 353=E2=80=93358.= Available from: <a href=3D"https://doi.org/10.1007/s4014= 1-024-00460-8" style=3D"text-decoration:none"></a><a= href=3D"https://doi.org/10.1007/s40141-024-00460-8" style=3D"text-decorati= on:none">https:/= /doi.org/10.1007/s40141-024-00460-8</a>7.Mata J. Manual<sp= an class=3D"awspan" style=3D"letter-spacing:0.9pt"> de </sp= an>audiolog=C3=ADa laboral<sp= an class=3D"awspan" style=3D"letter-spacing:0.9pt"> [Handbook of occupational<spa= n class=3D"awspan" style=3D"letter-spacing:0.9pt"> audiology]. Getxo, Biscay: Lettera Publicaciones, S.L. 525 pp. ISBN: = 978-84-121623-5-6.</sp= an> Auditio [Internet]. 2024</span= > [citado el 22 = de marzo del 2025];<spa= n class=3D"awspan" style=3D"letter-spacing:3.25pt"> 8: </span= >e111. Disponible en: <a href=3D"https://jour= nal.auditio.com/auditio/article/view/111" style=3D"text-decoration:none"></= a><a href=3D"https://journal.auditio.com/auditio/art= icle/view/111" style=3D"text-decoration:none">https://journal.auditio.com/auditio/article/= view/111</a>8.Garcia-R= ey <spa= n class=3D"awspan">T. Detecci=C3=B3n y</spa= n> prevenci=C3=B3n de la<sp= an class=3D"awspan" style=3D"letter-spacing:0.4pt"> hipoacusia. Acta Otorrinolaringol C= ir <spa= n class=3D"awspan">Cabeza Cuello [Internet]= . <span= class=3D"awspan">2022 [citado el<sp= an class=3D"awspan" style=3D"letter-spacing:0.9pt"> 22 </sp= an>de marzo del</spa= n> 2025]; 49(1): 25=E2=80=9326.Disponibleen:<a href=3D"https://www.me= digraphic.com/cgi-bin/new/resumen.cgi?IDARTICULO=3D107505" style=3D"text-de= coration:none"></a><a href=3D"https://www.medigraphi= c.com/cgi-bin/new/resumen.cgi?IDARTICULO=3D107505" style=3D"text-decoration= :none">https://www.medigraphic.com/cgi-</a> <a href=3D"https:/= /www.medigraphic.com/cgi-bin/new/resumen.cgi?IDARTICULO=3D107505" style=3D"= text-decoration:none"></a><a href=3D"https://www.med= igraphic.com/cgi-bin/new/resumen.cgi?IDARTICULO=3D107505" style=3D"text-dec= oration:none">bin/new/resumen.cgi?IDARTICULO=3D107505</a>= 9.Morros-Gonz=C3=A1lez<spa= n class=3D"awspan" style=3D"letter-spacing:4pt"> E, <s= pan class=3D"awspan">Morsch P, Hommes<sp= an class=3D"awspan" style=3D"letter-spacing:4pt"> C, <= span class=3D"awspan">Vega E, Cano-Guti=C3=A9rr= ez C. Retomando los sonido= s: Prevenci=C3=B3n de la hipoacusia= y rehabilitaci=C3=B3n auditiva en<spa= n class=3D"awspan" style=3D"letter-spacing:2.8pt"> las </sp= an>personas mayores. Revista </spa= n>Panam=C3=A1 Salud = P=C3=BAblica <= /span>[Internet]. 2022 [citado</span= > el= 22 de marzo<= /span> del 2025]; 46: e86. </spa= n>Disponible en: <a href=3D"h= ttps://iris.paho.org/handle/10665.2/56140" style=3D"text-decoration:none"><= /a><a href=3D"https://iris.paho.org/handle/10665.2/5= 6140" style=3D"text-decoration:none">https://iris.paho.org/handle/10= 665.2/56140</a>10.Corr= edor <= span class=3D"awspan">Rojas GF, Ordo=C3= =B1ez = Ordo=C3=B1ez LE, = Franco </span= >Aristiz=C3=A1bal CF, Tolosa </= span>CM. Gu=C3=ADa para<span= class=3D"awspan" style=3D"letter-spacing:-0.5pt"> el </s= pan>diagn=C3=B3stico y<span= class=3D"awspan" style=3D"letter-spacing:-0.5pt"> tratamiento de hipoacusia<sp= an class=3D"awspan" style=3D"letter-spacing:-0.5pt"> neurosensorial en adultos y</span= > ni=C3=B1os. Acta otorrinolari= ngol <= span class=3D"awspan">cir cabeza cuello</= span> [Internet]. 2024 [citado<= /span> el 22 de marzo<sp= an class=3D"awspan" style=3D"letter-spacing:20.9pt"> del <= /span>2025]; 52(3):266=E2=80=93282.= <span= class=3D"awspan">Disponible en: <a href=3D"https:/= /revista.acorl.org.co/index.php/acorl/article/view/817" style=3D"text-decor= ation:none"></a><a href=3D"https://revista.acorl.org= .co/index.php/acorl/article/view/817" style=3D"text-decoration:none">https://revista.acorl.org.co/index.php/acorl/article/view/817</a></= p>11.Corriols Noval P.<spa= n class=3D"awspan" style=3D"letter-spacing:-0.05pt"> Impacto cl=C3=ADnico del diagn= =C3=B3stico = gen=C3=A9tico en<spa= n class=3D"awspan" style=3D"letter-spacing:-0.05pt"> la hipoacusia del adulto [Tesis = de <sp= an class=3D"awspan">doctorado, Universidad = de <sp= an class=3D"awspan">Cantabria, Santander, = Espa=C3=B1a];Esta revista est=C3=A1 <sp= an class=3D"awspan" style=3D"font-size:8pt; font-style:italic">protegida</s= pan> bajo una <s= pan class=3D"awspan" style=3D"font-size:8pt; font-style:italic">licencia</s= pan> Creative Commons = en= la 4.0 <spa= n class=3D"awspan" style=3D"font-size:8pt; font-style:italic">International= . Copia de la licencia: <a href=3D"http://creative= commons.org/licenses/by-nc-sa/4.0/" style=3D"text-decoration:none"></a>= <a href=3D"http://creativecommon= s.org/licenses/by-nc-sa/4.0/" style=3D"text-decoration:none">http://creativecommons.org/licenses/by-nc-sa/4.0/</s= pan></a>D<s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-s= pacing:0.45pt; color:#ffffff"> i a </span= >g n = =C3=B3 s<span= class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-spac= ing:0.45pt; color:#ffffff"> t i <s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#f= fffff">c o<sp= an class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-sp= acing:1.65pt; color:#ffffff"> M =C3=A9 d i c oP<sp= an class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-sp= acing:0.4pt; color:#ffffff"> =C3=A1 g </s= pan>i n = a 30 | 33= <img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQE= AYABgAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFhwXExQaFRERGC= EYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eH= h4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCARhAxkDASIAAhEBAxEB/8QAHAAB= AQACAwEBAAAAAAAAAAAAAAECCAMGBwQF/8QAWBABAAEDAwAECAsDBgsGAwkAAAECAwQFBhEHEiE= xExQXQVFVlNIIFiJUVmFxgZKT0TI3dBWRobGysyM1NkJSc3WChMHTGCQnM6LDJWJyJkNFRmOjwu= Hw/8QAGwEBAQEBAQEBAQAAAAAAAAAAAAECAwQFBgf/xAA1EQEAAQMCBQMBBgUEAwAAAAAAAQIDE= QRSBRMUMZESIUFxMzVRYYHwFSJCodEGIzKxNMHh/9oADAMBAAIRAxEAPwDpoD+lPxQANEosoAAE= CSqSLKAKgAkkJPeE94pIACT3Is9yAABAkqkiysBAIkosoKkrHckrHcqACCSEiwACglXmVKvMCEh= IIAKAJJAAQsJKLKKSACD9HDteCt8z+1V2y+XCtde51qo+TT/W/RYmWK5+BjPeyYz3sswANKAAJK= pIAAADIAKgAqsZCQPgAlCEqnsYkiNQkosoKMZ7e1ap8zGGKpy1TAksuWNTDeQFpjsIgmQWYRqUh= J7wnvAAASUVBRJUnu5QYVT5mE9yzPM8pPc5z7ukIkwqpgliLKfZ2osLTT1qo9Dk+5KY6sfWy5da= acQ5VVe76AHocAAaJRZQAAIElUkhZQBUB9uBpebm4OdnY9masbAt03Mi5PZFMVVRTTH2zM931T6= Hb+jros17fGi3tV0vO02xZs5E4805FdcVTVFNNUzHVpmOPlR/S897VWrNM1VziOzrbs13JxTDoU= 96PY5+DxvD1tof5t3/AKZ/2eN3+ttD/Nu/9N5f4tpN7t0N/a8cOXreV8H/AHxZpmbWTo2R6KaMi= uJn8VEQ6JuzZe59rXONc0jIxrfPEXojr2pnzcV08xz9XPLva12nvTiiuJlzr0123GaqXX57kWe5= HrcAAIElUkVYAESUWU5gWElY7klY7lQAQSQkWAAUEq8ypV5gQkJBABQBJIACFhJRZRSRaYmqqKY= jmZ7kfZgWv/vao+qlJnDMziH02aIt24pjzd7MHNyGM97JjPeLAA0oAAkqkgAAAMgAqACqxkJA+B= JWUSSElJhkiNMZRlLCe/hJnCwkx28oyYzDm3EiSqSKR3s0pjiFVBOFFGEwMp704BAQCUVEX4GFc= 89jKZ4hxpVKwhCjnhtAEBaKeZ59COWmOIappzOSZSUZVMeJdXPD6QHVxABolFlAAAgSVSSFlHPp= 2HlajqGPgYVmq/k5FyLdq3T31VTPEQ4GxXwZ9gzh4kby1SzHh8imY0+irvotz2Tc+qau6Pq+15N= fq6dLamue/wAO+msTfuRTD6N57OxdlfB71LTbc03MqvwNzLvRH/mXJuUc9v8Aox3R/wD3L7fgm/= u6zv8Aa1z+6tP3/hDTHkk1iP8AVf3tL8D4Jv7us7/a1z+6tPy1Vyq5oaqqu81f+n26aIo1VNMfg= 9T1vVcDRdMvanqeTTjYlmIm5dqiZinmYiO765h1WOljo9nj/wC02L+Cv3XF0/8A7pNc/wBXb/va= GnTpwzhlGstzVVMxiWdbra7FcU0w3m0Ddm29fqmjR9bwc2umOardq9E1xHpmnv4+5+nnYuNnYl3= GzLFvIx7tM03LdymKqao9ExPe0MxMnIw8q3lYl65Yv2qoqt3LdXVqpmO6Yluf0S7hvbo6P9L1fJ= qpqyq7c28iYjjm5RVNMzx5ueOfvcuI8MnR4rpnMNaTWRqM01R7tcOnfYNGy9ft39Opq/kjP5qsR= M8zarj9qiZ9HbEx9U/VMvN23PwktMtZ/RVnXqrcVXMK7ayLc+emetFM/wDpqlqfpUzTqeLNNm1f= mL1HFu9zNFfyo7KuO3ifPw/QcJ1VV/TZq7x7Pl66zFu9iO0vedP6O8Kvoyo29XoVVWu5GlVanGp= +Kz1aLvXiqjH8Jx2VdXsmOfNM+d0jb3Rxo2dtjb+rapum9p97XMivGxrNOnzdiLkXJoiJqiuO/i= PNHe9Kubc6b691U6/Tq2k0RExP8n05t6MTiKerx4P0T39/f2vl1HY3ShmWtIteKbUsW9J1CvPxr= dm7dinwlVybk0zz/m8zMREcdnnfJt6qujMc2Pec9/r7f9PbVYpn+ifb2dH0Dojrz8/VsHLz9Qt3= NPz6sTwuPp/hbVcRETFXWmunie3mae3jsfp6T0c7Z0zTd9YW48+u5l6NNiLeXasVT4CiunrU3Io= iviqaueJpnu6vf2ubeWsdJG0IzLm5Ns6Jm6fnZ3jkVXLNV6xavcRT8maa4mn7Kvr4878nae6N+7= n3BuTU9I21pesRqduxTqWHctc2OKKerbmIqrie6mrzz5/q49M16u7RNfrj0+3aY/JyxZomKfT7v= jwejrQ6NO0S/rW6b2De1+5VTptu3gzcjq9aIoruT1o463NPZ5ut9U8fTp3RRh0xkU63uSvBu29b= jR7UWcKbsXblUUzRVz1o4iet9z5r2+Nz7UvWdC1vbeiXcrSrs3cOnMx+vXhTX8uIommrjiOYmO/= js9Ecfi0dIm4PFqbV+nEya41mjWartyietXfpiOIniYjqdndERPomHoijX1xmmr2+sf2/RxmrTU= 94di3H0V4Gn2cy5p25pz69O1CxhZ1m5gzamibtVMRMT1pir9qP1fqal0c0a/u/WsOa68K1pVy3i= 0fyZpEeBqiaIq5nm5z1uZ7eZqn6+50zL6SNcyKtXm5i6fH8rZtnMv8AFuv5NdqYmmKfldkT1Y55= 5+52La28d87o1DW7OnbY0fXIzr1Gbk4l6zM27VcUxRFVPNcT3RHfM/c5XLeuop9VVXb5zHzhuiv= TVTiI7uldI21ruzt15GhXcujL8FTRXRepo6nWpqjmPk8zxP3y69Hc7V0sZu4s/eV+/ujTLGnal4= K3TVYsxxTTTFPyZ/aq831v1dS6JN1afs+rdF+5p04NONTkzFN6qa+pVETHZ1e/tjzvqWtTTRao5= 1UZn+7x12Zqrq9Ee0OgAPY86SEuy9H+ydY3vn5OFo1eLTdx7UXa/D3Jpjjnjs4iWLl2i1TNVc4i= G6KKq5imnu60P2d6ba1HaWv3dF1WbE5NqimqqbNc1U8VRzHbMR6X4zVFdNymKqZzEs1UzTOJEq8= ypV5m0QkJBABQBJIACFhJRZRRnZom7ciiPv8AsfqUxFNMUx2RHY4cK14O11pj5VTnYqlyqnMgDL= IxnvZMZ7xYAGlAAElUkAAABkAFQAVWMhJIfCSIqSsAIglUsOGVU9qcszLpEIKkwipwcKSQSACZA= BUnvRZ70CA4AVEmGTGqeIQYVT2sPOySYYlqEARUAjtngwZZW457XIkRxHBzx3ukRhMkosoqPoAd= XAAGiUWUAACBJV9eiaXm61q+LpWnWpu5WTci3bpj0z559ER2zM+aIZqqimJqntDURMziHcOhLYt= e9N00+M0VRpOFMXMuru6/+jbifTV/VE/U2+tWrdm1TatUxRboiKaaaY4imI7oh1/o72rh7P2xja= Nh/Kmj5d+757tyf2qv+UeiIiHYrlNU0TFM8Tx2TL8NxHWzqr2fiOz9NpNPFi3j5+XgXwot60xTR= svAuc1VdW9n1R5o76Lf/wDKf93637/wTv3dZ/8Ata5/dWnUel3oks6Lt/Vt3X9w5efmeEi7cpuW= aaYrqrriJ7Yns/adu+Cb+7rP/wBrXP7q09t+bP8ADoi1Off3+rzWuZ1ea/wdl6f/AN0euf8A0W/= 72hpy3F6f/wB0muR/8lv+9oadPof6f+xq+rycV+0j6Daj4LMV+TOvr89X+ULvU+zq0f8APlq/p+= Hl6jm2sLAx7uTk3qurbtW6Zqqqn7Ibo9Fm3Lm1th6Zo1+KPGLVua780zzHhKqpqq7fPxM8c/Ucf= u08mKPnJwqieZNXw+bpr6kdFm4ev3eKTx9vMcf08NN9I/xrh/6+j+1Da34Smq2sDoszMeqvi7nX= bdi3T56vlRXP9FMtUtI/xrh/6+j+1DHA6ZjTVz++zXEpib9MN1OkvW8vbexdT1vAptV5OLaiq3F= 2JmiZmqI7YiY9PpeCYPwhN228u3XmabpF/HiqPCUUW66Kpjz8VdaeJ+viXtHTt+6XX4//AEKf7d= LTXlw4No7OotVTcpz7uuv1Fy1ciKJbx41ek732Xbu1Wqb+nariczRVxPEVR2xPoqpn+aYeC9COl= 720ncm6tJ2xe0SL+Feox8urUKbkxV1a7kUzR1Psq7/qeudAGNkYnRHodvJoqorqouXaaZ/0a7td= VM/fExP3ut9C1dFzpV6SKqOOPHqI++K70T/S8NqqbVF63T7xH+Xprp9dVuqe/wD8eI9MFjX73SZ= nY+s04l/V7k2aaqcCmubdUzbp6sUxV288cfe7BonQPvjUcSnIvzpunTV3Wsm9V1+PTMUU1RH8/L= 0fRNLx874UOu5d+iK5wMK3dtRPmrm3bpif5pqfJ8InpF3HtjXMLRNAyacPrY0ZF69FumqqrmqqI= pjrRMRHyZ83n/n+nTrtRXy9PYxE4h4p01qn1XbucZdSn4PG8PWuh/m3f+mw6GdG3noe/twaNt6/= ok5+Ha8Fk15nhJtVRFcfsdWOe/08PSfg37p17dOjatf13UK825YyKKLc1UU09WJp54+TEPzeiT9= /e/Ptq/vIcLur1E03bV6Yn0x+H5w60WLUTRXbzGXQt3bN3fvbpfztH1HK0W3q9vBoyLldqblNia= IiiIiOYmrn5Uebh7zuHbObqPRZc2pZvY9OZVp1vFi5XM+D61NNMTPMRzx2eh4T066/rG3OmnUM/= RM65hZNWHZtTXRETM0zTTMx2x6Yj+Z7VurV9SxOhS5rePmXLeoxpVq9F+IiauvNNMzV6O+ZcdVz= posTGMe2Pq3Y9EVXInv8tcd49GGubW1nRtLz83Trt7V73gbFVmuuaaautTTzVzTHZzVHdy7THwe= N4T/+LaH+bd/6bote4t57x3BpVq5n5Oo6nZvx4hHVp5ormYnmOIjz0xPb2dj3HE2f0212KK8jf+= HYuT30RHW6v1c+DfT1Wo1Onppiq5TE/P7w8di1ZuzMxRMw803J0Gb20fTq8614hqdNuOa7eJdqm= 5EeeYiqmOfsjmfqfvfBE/ys1r+Bp/tw9v6PdO3XpmlXsXdusY2rZHhetZvWqJpmKOI+TV2R5+f5= 3mvQvYtY3TnvqxZoii3TVc4pjujm7y8FXELmo0923cmJx8x9XqjS0WrtFdPtl5v8Jj97Wd/D2P7= EPNHpfwmP3s538PY/sQ80foeG/wDi2/o+Vq/tqvqJV5lSrzPc86EhIIAKAJJAAQsJLmwrPhLvWq= /Zp73DxM1RER2y/Ux7cWrUU+fzkzhmqcOSUWUc3IAAYz3smM94sADSgACSqSAAAAyACoAKrGSe4= knuRWKopCQMap4VjPektQhMAy2ncvIiC8dqSpKiAAAIMZ7xZ70FiQAUcVc81M654jhxyzKgDOCE= k4UGssWVuOO1IjmeHJDVMM1SANJCTCLKA+gB1cQAaJRZQAAIGy/wbtgxo+lRunVLURqGbb/7tTV= zzasz5+PTV3/Zx6Za36bk04efYy6sazkxarivwN6Jmivjt4q4mJmPveqf9oHedNMU0adoNMRHZx= j3ez/9x8rilrU36OXZj2nu92juWrVXruNit367iba25m61mz/gsW1NXHnrq7qaY+uZ4j72ts9Pe= +pqmYp0uI57I8WmeP8A1PwukDpQ3JvXTLOm6pRg2Ma1d8L1cW3XR16oiYjrc1TzEcy6O8/D+D00= UTOopiZddVxCqur/AGpxDv8Au3pc3ZubQcjRdSjA8VyOr1/B2Jpq7KoqjiefTEPYPgm/u7z/APa= tz+6stYHfOjzpS1/ZGi3dK0rD02/Zu5FWRVVkW65q600008fJqiOOKY8ztr+HxVp+Xp6Yj3y56X= VYveu7Pw251XTsHVcC7gali2srFu8eEtXaYqpq4nmOY+2Idfjo62LHExtTSPvxqXhX/aF3l6r0L= 8m7/wBRJ+ELvH1ZoX5N3/qPiUcJ11PtT7fq+lVr9NV3/wCmxmj7f0LR5qnStIwcGqqOKqrFimiZ= j0TMQ+nU8/D0zAu5ufk2sbGs09a5cu1RFNMfa1e1Hp731lWposRpWFP+lYxpmr/11VR/Q6JubdW= 4ty3Yua5q+Vm9Xtporq4opn6qY4iP5nW3wLUXKs3Zx/dividqmP5Idn6cN/fHbcNNOF16dJweaM= aKo4m5M/tXJ+3iOI80fXMujaR/jXD/ANfR/ah889yUzNNUTTMxMTzEv01rT02bXKo7PjV3ZuXPX= U3t3TomHuPQMrRc+q5GLlURTcm1VxVxExPZPb6Hn2J0DbEsZNu7XGpZFNE8zbuZPyavqniIn+lr= HGu63651H2mv9Sdd1uY4nWNQ4/ia/wBXw7fBtTaiaaLuIn6vpVcQs1zmqjLb/pF3pomw9uVVVXL= EZFNnweFhUTHWrmI4piI81MdnM+aPuh5f8EnIu5Oqbqyci5VcvXfF67ldU9tVUzdmZn75eBXbly= 7XNy7cruVz31VTzLlw87NwpqnDzMjH6/HW8Fdmjnju547/ADvRRwaKNPVbir+ar5c6tfM3YrmPa= Ph7vqu7MXaPwmdTzNQueDwcqzaxr9fHMURVbtzFX3TTHP1TLvnST0caH0kU4eqWtUnHyLdrqWsn= H6t23ctzPMcxz2988TE+fztWtAxLu491abp2XmXfCZ+Vax6r9czXVT1qop57Z7eOe76nvWJ0A3s= SmacTfWfj0z5reP1f6rjx6yxb0tVExc9NcR+Dvp7tV6mqPRmmZd66Jdg29g6fm4lvU69Q8bu03J= qqs+D6vEcccczy6Z0Sfv6359tX95DuWz9DwujXbOdd1jct/Ntzcm9cycuvq9WIp4iimJmfRPd2z= MtUtzbiydR3dq2t6ffycOM7KuXaYouTTV1JqmaYnifRw4aPT16uq7HqzmO/6uuou02Io9u3w7d8= Jqf/ABZzf4ez/Yh77oWPg726GcLTreX1LWbpdvHruW+KptVxTETHHpiqO76mnWVkZGVem9k37t+= 5PfXcrmqr+eXLhZ2dhRPieZkY/Pf4K7VTz/NL69/hdVyxboirFVLwWtbFFyqqY9qntej7PwuiXp= T21k6rrlrLx87w9vw04/gqbNXU6tMz8qrvmqI57OHq/SVtHWt114VzRt45uhU2KaorpsRM03eeO= Jnq1U9scT6e/wA3n09zc7NzerOZmZGTNHPV8Lcmvjn0cy5cfV9Wx7cWrGp5tq3T3U0ZFVMR90S5= XuF3rlVNya/5o/JujW26ImmKfafzbj9Ge1tX2thZljV9z5OvV37kV27l+Kom3ERxxHWqqdB6If3= 9b8/+qv8AvYa8TruueudR9qr/AFcFnUdQsZFzIs5+VbvXf/MuUXqoqq+2YnmWKODXMV+quM1R+D= VXEKc04p7PQvhMfvazv4ex/Yh5o5MnJyMq9N7Kv3b92Y4mu5XNVU/fLjfa0tmbFmm3M5w+deucy= 5NX4iVeZUq8z0OaEhIIAKAJJADK1RNy5FEechX0YFrmrwtUdkdz7UopimmKYjiIZMTOXGZzKSiy= iIAAMZ72TGe8WABpQABJVJAAAAZABUASVVCQkVioiJCVSxWe1GZagFRFyEKiqEgggvCSNZABMJP= eiygAJVJKsKu2eUZJLm2nCKAgcLTHM/UBTHHayU4dGEAFhJRZQR9ADo5AA0SiygAAQJKpJCygCo= AEkJPeE94EiKAk9yLPcgAAQJPcqSKytV127lNy3XVRXTMTTVTPExMeeJfb/LOr+tc72iv9XwwMz= RTV3giqY7ObMzMvLmmcrKv3+r3eFuTVx/O+dZRYpiOyzMz3SVjuSVjuaZAEEkJFgkAUEq8ypV5g= QkJBABQBJIR+hhWupb69UfKq/oh8uJa8Ld7f2Y7ZfpMzLFU/CgMsJKLKAAAMZ72TGe8WABpQABJ= VJAAAAZABUEmFFViSSSCMap8ysZ70lYQBGl8yLPciILxKMlViMphEVAAJRU4RYE4UBjPYwZ1T5m= PDMtQgJwirwxXkMCM6Y4hKI5llMLTBKcqxOWmMrKEgpKcKCOYc3imX82ufhk8Uy/m9z8Ms9Ra3R= 5OTc2y4RzeKZXze5+E8Uyvm9z8J1FrdHlrk3NsuGUc84mV82ufhTxPK+bXPwnUWt0eU5NzbLhHN= 4nlfNrn4TxPK+bXPwnUWt0eVizc2y4Ulz+J5Xza5+FJw8v5td/CRqLW6PK8m5tlwDn8Ty/m1z8M= niWX82u/hleotbo8pybm1wDn8Ty/m138MnieX83u/hlOotbo8kWbm2Xzz3jmnCy/m138MnieX82= u/hleotbo8nJubZcI5vE8v5td/DJ4nl/Nrv4ZOotbo8nJubXBPcjnnDy/m138MniWX82u/gk6i1= ujycm5tlwDn8Syvm138EniWX82u/gk6i1ujyRZubXAkvo8Syvm138EpOFl/Nrv4JOotbo8rybm1= wwOfxLK+bXfwSeJZXza7+CTqLW6PKcm5tl88o+icLL+bXfwSeJZfza7+CTqLW6PK8m5tfNKx3Ob= xLL+a3fwSsYWX82u/gleptbo8pybm1wD6PEsv5td/BKeJZfza7+GU6m1ujycm5tl88jnnCzPm17= 8EniWZ81vfglY1NrdHlZs3NsuAc/iWX82vfhk8Sy/m178Er1FndHlOTc2y4EnzPo8Sy/m178Ek4= OZ82vfgk6izujycm5tl8w+jxHM+bXvwSTg5nza9+CTqLW6PJybm2XzD6PEcz5re/BKeI5nzW9+C= TqLO6PK8m5tl869szxEczL9vTNobq1PG8Z07buqZdjrTT4S1jV1U8x3xzEP0sLo+3rFc117U1mO= O7nDr/RidXYj+uPJybmP+Mvxce1Fq3FPn88uV2H4i70+iuseyV/ovxE3p9FtY9kr/AEY6uxvjy5= ci7tl10di+Iu9PotrHslf6HxE3p9FtY9kr/ROrsb48nIu7ZdclHY52JvT6Lax7JX+ifETen0V1j= 2Sv9Dq7G+PJyLu2XXR2L4ib0+iuseyV/ofETen0V1j2Sv8AQ6uxvjyci5tl11j53ZfiJvT6K6z7= JX+jH4h71+ius+yV/odXY3x5WLFzbLrg7H8RN6/RXWfZK/0PiJvX6K6z7JX+jXV2N8eV5FzbLrg= 7H8RN6/RXWfZK/wBD4ib1+ius+yV/onV2N8eTkXNsuuI7J8RN6/RXWfZK/wBE+Ie9forrPslf6L= 1djfHk5FzbLrg7H8Q96/RXWfY6/wBD4h71+ius+x1/onV2N8eTkXNsuuJy7J8Q96/RXWfY6/0Pi= HvX6K6z7HX+h1djfHk5FzbLrg7H8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHlORc2y64Ox/EPev0= V1n2Ov8AQ+Ie9forrPslf6L1djfHk5FzbLrQ7J8Q96/RXWfY6/0Sdh71+ius+yV/onV2N8eWuRc= 2y61PenDsnxD3r9FdY9kr/Q+Ie9forrHslf6HV2N8eTkXNsutTHZ2I7N8Qt6fRXWPZK/0Sdh71+= iuseyV/odVY3x5Xk3Nsut98I7J8Q96/RXWfZK/0T4hb1+ius+yV/odVY3x5OTc2y64yh2H4hb1+= ius+yV/ofEPev0V1j2Sv9DqrG+PJybm2XXkl2P4ib0+iuseyV/oTsTen0V1j2Sv9DqrG+PJybm2= XWx2P4h70+ius+yV/ofEPekf/lbWPZK/0Oqs748rybm2XXB2L4ib0+i2seyV/ofETen0V1j2Sv8= AROqs748rFq5tl1ye9JniHZJ2JvT6K6x7JX+jjq2PvLnj4r6v7JX+h1VndHleTc2y66OwfEfeP0= Y1f2Sv9D4j7x+jGr+yV/ox1FrdHleTc2y6+xdi+JG8foxq/slf6J8R94/RjV/ZK/0Ootbo8nKub= XXk4dh+JG8foxq/slf6M6NibzqjrRtbV5j+Er/Q6i1ujycq5tl1+I4jgl2P4ib0+i2seyV/ok7E= 3p9FtY9kr/RrqbO6PJyrm2XW+xOHZPiJvX6K6x7JX+h8RN6fRXWPZK/0XqbO6PKcm5tl1yCYdj+= Im9PorrHslf6HxE3p9FtY9kr/AEOps7o8nJubZdbHY6tib0+iuseyV/onxF3p9FdY9kr/AEOps7= o8pybm2X6PAD8C/WgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD79v6Vla5rWLpOHTzfybk= UUzPdTHnqn6ojmZ+x8D3n4P20/ENKr3Hm25jJzKerjxPfTa/wBL7ap/oiPSg9G25pGJoeiYulYV= HVs49EUx6ap89U/XM8z979EiOBAAAAAAAAAAAAAAAAAAAAAAAAAcVc8yzrniOzvcYJwjIBiLwgJ= MCgIkxyvADHjhO9mkwDHhGRwDDgZcJPcDivVdSjmO/wAz4/O5r1XXrmfNHZDjmBWExDGaWcwA4+= IThyTDGY4US3RNdcUx53300xTEUxHEQ48S31aetMdsudFYpLLhBEJXhBMJwjJOBUlOIZSgNRAGk= AAAAAADl+1tbFx9Qp1PT68eLmVcw6rmHVH7VNy3MVzEfbRFcfbw7PG29OqysKIxaJtaPdm1rU01= TPhOra8NVM+jmabtv/dp88g8+OXctH0zS8/B03WrmNTRj4l3I/lK1RMxE00R4W3H1daJ8H/ux5z= WNP0rS8bUNWoxaLuPlZdidNtXJnjwVVMXq/t4iaKJ+2QdNHoVe2NPs39QsXMejjVbtVGi1TVPya= fBeGpmPTz17VH31eh1nc2HaxKMLDx8Oqi9i4VurOucT23bny+30cRVRT9sA/Dct+xXZtWrlVdqq= LtPWpii7TVMRzMcVRE80z2d08T53bNcr0jQ8qNCo23j5seL26qsu7cuReu1V24q69E01dWKYmey= OrPZHa59O0HTM7L2xau0UWreRpt7JyO2qJvVW670xE9WJntiimPkxzx3RyDo47nuCjbuVoGVkY0= 6RayseqjwP8m2sziqJniabk3aer3czE8xPZL9CbG36922tq29vYtFrJot0VZc3Lk3qLldqKutT8= rqxETPdxPPH1oPPHLTYrnFqyYrtdSmuKJpm5TFfMxM9lPPMx2d/HDsmLGnaNtfT9Tu6NjapkZ92= 7FVWVNfg7NNuYp6sRRVHyp55mZn0cQ4rmLh5e2NSzsbTYxrs6pYt2bfXmubdFVFyepEz2zHMR39= vZCjrZ//ALveh5ek6VXpuqadXjaFZzcDDru8Yd3IuZFuu3x1uvXMTant5iY5757H5moXNK0W7i6= RG2cbUPCY1m5cyrly5F6/NyiKubU01RTTETV1Y7J/Z7fOg/A1XSbun6jn4dV6xXOFX1a6puRTNf= bx8mmZ5n7I5fnO77ixMa/rO9712x1rmNMVWZrj5VEzfopn7+JmHz6jc0rRqsTSPi1j5/hcazcuZ= Ndy7F69NyiKubUxPFMRNXEfJnu7QdVosV141zIiq1FFuaYmJuUxVPPPdTM8zHZ2zEdjG7buWa+p= dt126+Inq1RxPExzH88TEu5a1p+nadc3Jes6faqjT9VsUWbV6KpiKObnNE8TzxPViJ7eezvfRr1= yjWt5YuJRomk26LOLZyL1XhLlqmq3GNRXPhKpqniimO7jieI75lR0S1T4S7TbieOtVFPP2vs3Bp= tej65naXcu03q8W/VamumniKppnjnh2jcmHpdzRcPVcG3pVF2jUIxq503w8WqomnrcT4aP2o476= eztfl9I1q7O+NfvRbrm1TqF2ma+rPViZqniOfT2T/Mg66cw7xqEaNo+uWNufFrHz7dUWabmTcru= RfvTcppnrUTTVFMR8rsjie6OUu4Gk7ewtduXtOx9WvYOrxh49V+qqKOrxc5mqKZjn9mOznv+xR0= gdy1W5pOheJafO3MTUJycW1k3ci7cuxXXN2mKuLXVqiKYp56sTxPbHa/I3zh42n7sz8PDsVY9i1= XEUW6u+mOrE8T9YPxAAAAAAAIiapiKYmap7ojzg7P0Z7Xubq3RZwqomMO1/hcqvjuoif2ftqns/= p8zaaxat2LVFq1RTRbopimimmOIpiO6Ih1Dom2rG19sW7d+iIz8ri7lT54njso/3Y/pmXcmQAAA= AAAAAAAAAAAAAAAAAAAAAJEq5nsBhM8zyizCAnHApwCBMAJMIyAYizCAgpwCJwoDFxX6urTxHfL= mmYiOZfLXM1VTIsOLhJhnwgrCYSYZzCcA42Vqjr1xHm86zD6LNHVo+ue2RJZ+bgAQAFSYRkTAMe= EZIIgvCA1CAaAAAAAAH06ZnZemahY1DBvTZybFcV264iJ4n7J7J+9z2Na1Wzb1C3azblNOpRxlx= xE+Fjnrdv3893pmPPL88B9mJqediadmafj5E28bNiiMi31Ynr9Weae3jmOJ57jN1PPzcHCwsrIm= 5j4VNVGPRMRHUiqeZjsjme30vjAfoX9b1a9Vp1VzNuVTptNNOHzEf4KInrRx6e30+iI7ohlk65q= 2RVqU3s2uqNTqivMjiIi7MVdaOeI7OJ9HH8z80B+zjbp3Bj4EYVnUq6bVNE26Jmimblumf82muY= 61Mds9kTD469W1KqcGrxuumrAo6mLVRxTVajrTV2THE99Uzz39r4gH6usbh1nVrMWc7M69qKuvN= FFui3FVX+lVFMR1qvrnmXDTrGpU6zb1inJ4zrc0zRd6lPZNMRTT2ccd0R5nwAP09H1/V9Js12MH= L6lmuetVauW6blHW7ut1a4mIn64jlx5WsanlWsi1k5ly9Tk36ci9NfE1V3KYmIq63fHEVT2cvgA= fuZO7dw5Niuxe1GaqLlubd3i1RE3aZiYnrzFPNc8T31czHmYYO6NfwsGjDxtRqptW4mLczbpqrt= R6KK5iaqP92YfjAPvv6zqd+5n3LuT1q9Q48amaKf8ACcVRVHm7O2Ins4dq0TOro0nEt0b6x8TGo= oiK7d7EqnJx/wDSptVRRVMR38cVU/ZHa6MA/Y1/XcjUNQ1auxVVbxNQy/GJtVUxM9k1dTme/mIq= nuSNya3FWDXTm9W5gUdTHri3RFVNPHV6s1cc1Rx2cVcxx2PyAH6up7h1jUrUWszLiu1Tcpu026b= VFFFFVPPE000xER+1PZHf5+XHn65q2dby7eVmVXKMzJjKv09WmIruxEx1uIjs757uIfnAP2sPde= 4cTDpxMfUq6bdFPUt1TbpquW6fRRXMdamPqiYfmxnZcadc0+Lv/drl2m9XRxHbXETETz391U9j5= wHd9v51y3o+Nas73xcKxRH+Es5OJVVex557fAzFFX2xxVT2+h1zdmpWtY3JnalYpuU2b92arcXP= 2urxERz9fEdr8sAAAAAAAel9A2051fXp1vMtz4np9UTb5jsuXu+I/wB3v+3h5/o+n5WrapjabhW= 5uZGRciiiIj0+efqjvmfREtr9paJjbd0HE0nEj5Fijiqvjia6v86qftlJH60RxACAAAAAAAAAAA= AAAAAAAAAAAAABLGFn0AITCgjCYRmkwKxOFnsQEFJgESYUBOEZJwCJwqVTERMyDhvzPHVj73C5J= 5meZ70mIkWGEpMMpiUFY8Jwz4SY8wFmjrV8z3Q+hLdPVpiPP52QyicLMAMRknAIAAnCgqIyOAa3= +TPfHqK5+db948me+PUVz8637zaAXKNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v= 3jyZ749RXPzrfvNoAyNX/ACZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8= 637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ= 749RXPzrfvHkz3x6iufnW/ebQBkav8Akz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8me+PUVz8637x= 5M98eorn51v3m0AZGr/kz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8AJnvj1Fc/Ot+8eTPfHqK5+db= 95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98= eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/wCTPfHqK5+db948m= e+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me9/UVz8637za= AMjyroT2Hl6FdydY1zGiznTzax7c1RVNFP8AnVdnZzPd9kT6XqpxHogQAAAAAAAAAAAAAAAAAAA= AAAAAAAEmFBEADIAGE4SYZAZYIzmEmBWKcMkBBU4AcN6fldWO5yV1cRy4e8GKTDLhBWKTHLNOAY= cSzs08zz6CI5nhzU08RxAJwKCMTheAGIpwDHhJZAMRZhAAAfoAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgpwJ7oEwAAAnDGYZgMEZTDC52QK4655= q+qGEwzlAYDKYSYBjMehGREczwC2qe3nj7HIccAInDIBiLwnAJwjIBicLwgIKkwCcHCgPuAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOAEwkwKS= CAgo4qp608s657OHHwJhJSWRwKx4RlwnAMeGVuniOfSRHayAOABBU4AABJhGQDEXhASUZJMAnBw= qA+0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAABJ445VjX2iYYTzyjJOBWPBwoDEmF4POBTCgCcIyAYi8IAnCgIKnACKAnCMkQQ4ZU0zVVEQ5= vB0ehRmAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAABMseFnvBGMwkwzSYDLBJhnMJwKxWIAE4FAQJAE4UBOEZJwCC8IBwigIkspgopmqrjzA5= LNPEcz3y5OfqAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAABJVJAAAAEwJMKAxmE4ZpwKwFmAEOABOOBTgEAASYUBiMkmARzW6eI+1x245q+qH= NAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAgnHCn3ggqcCgAAAgnCgMOEZpMCsRZhACYAEFSYABlbjmeQZ0xxCgAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJg4SVAQAXIA= GAATCJMMgMsOEZ8JMCsRZQDjlyUxxHEJRHnZAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACJMCgIHCCqAAAInCcdrIgFAFAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAO04ARBUDIAKR2qQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHHaAmAAUAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAmU5fkbu3Hpe19LjU9YvV2cTwlNublN= E19WZ7uYjt4YbZ3PoW5sa5f0LU7ObTa4i5FHMVUc88cxMRMd09/oa5dfp9WPZiblMVenPu/a5OW= q1vpe3roOu5+PGfb1DGt5VyKbWXR1uIiueyKo4q7vrbI7M1ivX9radrNePGPVmY9N2bcVdaKZnz= c+d6dVobumiKqu0vNptbb1EzTT3h+z5uSJ5dO6Yd31bI2Hm63Zooryommzi0V/szdqniOfTERzP= Hn4eDbL0bpw6QdMr3HibvvYWLeuTFqq/m3LNN3iZiZoot0zEUxMTHdH1PI9jarkeG5WD0j7J6ML= tOq9IGlYesXdXpqt6hm3671qLE2uPBc3LVUxVNVMzx1fv8z07B3Fp+kbJ0nVNzbg06nwuHZm7m1= XIotZFybcTNVHMRzFU8zEREdnmgHZB1XTekXY+pVZFOBuXAyJxsevJvRRXM9S1RHNVc9ndEPmp6= VejqqqKY3fpfMzx23Jj/kDuY+LK1fS8XSf5WydRxLWn+Di541Xdpi11Z7qutzxxPMPwNN6SNi6n= qFjTsDc+n5GXfri3atUVzM11T3RHYDtg8p6LN1alas7l1DeG/ND1jBwq7c0V4nERiUzVXExc4tU= ds/Jj/O7pdlsdKXR5evUWqN36V1q54jrXurH889kA7iJTVTXTFVMxVTMcxMd0qAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADy/w= CE5+7G5/F2v+bqXwR+7c3/AA3/ALrtvwnP3Y3P4u1/XLqXwRv2dzf8L/7r7Vr7sq+v+HxLv3jT9= Hie5P8AKHUv4u7/AG5be9EP7sdv/wADR/U1C3J/lFqX8Xd/ty296If3Zbf/AIGj+p6uNfYW/wB/= Dz8H+3ufv5dD+GBjX7/Rfi3bVM1UY+qWrl3jzUzbuUxP4qoj73Yvg46jg53RFotvEv267mLbqs3= 7dNUTVbriursqjzc9/wBku5bm0TT9x6Fl6LqtiL2Hl25ouU88THniYnzTE8TE+mHgWb8GOvxu7V= p28PB48zzRTew5muI9EzFcRP28R9kPzb9G7V8MCf8Awtxv9q2v7u68d6UMvJzNf2Fpl/TsnVMTH= 29p82sC1VVE5M1URNUR1YmeZ4insjn5L1ijoLyqejC9s6rc1mq7c1enUIyZxZ4iItdTqdXrffzz= 9z9je3Q1i7k0Lb1q1rN7Tta0TBs4lrOtW+YrptxHHNPWiY7YmYmKuznzivP9sY2NOi7xrp6KMza= VdvbGfNObeuZExXPUiPB/4SIjmYmZ9PyX42wdibY1b4PmvbozdPmvV8SMmbORF2uJp6lFM09kTx= Pb9T1HQeineGLa1bH1jpFzNWxtQ0vJwabN6m5VTRVdo6sXOJrmJ47X6u0+jK/oXRJquxatYt37m= fF+IyosTTFHhKYj9nrdvHHpEa769m5eR0NbD0i7l3KMK/qGb4Tmrsjq3KIp/m8JXx9rZTbnQ/sH= RM7C1LT9GqpzMOqm5avVZFyqrrR3VTHW45+516joP0/J6LsTZ+p6rNzKwsi7kY2fZs9WaJrntia= Jmeae7mOY7o7YfPszoh3hoGv6Zm3ekjPzMDCvUVThzF2mi5RT/mcTcmIjj6uAeadE2p6JpG0Okr= L3Fg1ahp/hseivFprmnw1U3LvVp5ieYjrcdvoj7nXN3VafnbOu52n9EWZodiuKLlrVqb+RctUUz= VEd9VPVmKu7v75h7hoHQZbxNu7o0XUtc8Yt65ctXbdyzj9SrHrt1VVUzxNU9btqj0d0+l+Fe6BN= 23dH/kW50l5NemRTFEYlVi5NrqxMTEdXwnHETEcfYD0noAy8jN6H9u5GVdqu3IxqrfWq7+rRcqo= pj7qaYj7ne3XOjPbde0Nkadty5l05dWFTXTN6mjqRX1q6qu7meP2uHYwAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAeX/Cc/djc/= i7X9cupfBH/AGdzf8L/AO67b8Jz92Nz+Ltf1y6l8Ef9nc3/AA3/ALr7Vr7sq+v+HxL33lT9Hie5= P8otS/i7v9uW3vRD+7Hb/wDA0f1NQtyf5Q6l/F3f7ctvOiGf/DHb38DR/U9XGvsLf7+Hn4P9vc/= fy7NnV1W8DIuUTxVTaqmJ9ExDVLYm6OnPe3js7d12rIjCqoi914x7fV6/W6v7VMc/sy2r1P8AxZ= lf6mv+zLX34Fn/AJW7P9Zi/wBV5+bfo4fNsTpR37t3pKs7Q6RqvC05N2ixVNy3RFdmqv8AYrpqo= jiqiZmOe/7uJeoba1nduT0raxpeoZej16FZornFtWL9qrJpmJp469EVdaI7Z74jzPFfhN128zp1= 0jGwZivJoxsWzXFM9sXJvVzEfbxVT/PD7sXUcnSOnLpL1PDq6uTi6TmXbVXHPFcRb4nj6pBsVnb= k2/p+TVjZ+u6Xi3qe+3ey6KKo+2Jnl1rpG3RmfE69n7G1nQr+ZayLdFV29mWvA0xPPMTVNUUxPo= jl4r0KdFW3977JzN0biy9QyM25lXojwd+Kf2YieapmJmapmZnnn0OmaHER8H/c9Md0a3iR/wCmo= Hs/TdvzXdv9F+3snA17Dxdx5FePVmU4tdq51qarNc11Ux2xNE1xHFUdnd2vS9qbq0jM2liajka7= p1ybWJYqzbvjNHFquumP25ieKZmrmO3jta9dN+29Lt9C+yN1027n8qXMPAwaq+vPV8F4tXXx1e7= nmO93bL2z0d7G6FcnM1TEzq8PW8bCqy7Nq/M3L92ni5RTRM9lPbNUz9UT9gPXMfde2Mm/RYxtxa= Reu1zxTRRmW6qqp9ERE9rzLpX3duLSOmnZ+habqdzH03Pmz4zYiimYuda9NM8zMcx2dnZLwLeU7= Mu7fjJ27s3cek3+vTVby8nIm5Zqp9Hd5+Y4mJ9DvWtZuVqO/uh/Nzb1V/Iu4GFNy5VPNVc+GmOZ= nzzPpBtTAQAAAAAAAD8PfG4MbbW28rVL/wAqqinq2aP9O5P7Mf8AOfqiXgHlU33zP/xqI+rxWz7= gNmxrJ5VN9+u49ks+4eVTffruPZLPuLgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruP= ZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2S= z7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79= dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/Xc= eyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVT= ffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU33= 67j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWT= yqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8q= m+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZs= ayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPu= HlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hg= bNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7J= Z9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWf= cMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffru= PZLPuHlU3367j2Sz7hgbNgIAAAAPL/hOfuxufxdr+uXSfgp52FiVbioyszHsVXZxvBxduxTNXHh= eeOe/vh7zq+mafq2L4pqeFj5mP1oqm3eoiqnmO6eJfkVbE2ZMdu19In/AISj9Hvt6ymnTTYmO85= y+dd0lVWpi9E9vhrruLok31d1LNzsTSrWXYu37lymbWVb5mmapmOyZh6F0e9It3auiYW3t57c1T= R7WHbps282rHrm3VEeers7Pu5ek2NlbYxuZw9IsYcz3zi1VWZ/nomJc8bdtW4mnG1LU7duqOKrd= zInIoqj0cXet2fZw6XuIc+iKLsZiP0Ys6CbNc125xMvtsZeJrGj13tOy7GTZv2qot3bdcVUzzHH= fDWvTPg/9JGmzd/k3dmmYXhJia/F8zIt9bjnjnq0RzxzP873jE2dj6ZkXM3Rb9Om5NUzM02LfVs= Xezs8Ja56sz/81PVn63Z8abk2om7TTTc4+VFM8xz9T51WM+z6VE1Y93h3RZ0E39A3RZ3LurWLWp= ZuPc8LZs2Yqqo8J5q6q6+2qY74jiO2Inme5+3onRdnWeljc259Uv4ORpGtY17H8Woqr8L1bnU5i= r5MRHZTPdPnetJMcstNVq9nZ+1bmda2X0y6BjaZc5uV2bupRbrniJ7Jpp60TPHZzHHPofN0PbM1= Pe/Q9uLR9Ov41i7d1excpu5E1RRPUo5qj5MTPPyo8z2SvoG6Na7lVyrRsiaqp5n/AL7e7/xO97b= 0DSNt6Ta0nRMG1hYdrnq26OZ5nzzMz2zP1zMyK6HvXozydzdD2jbNuZ9jH1DS7ONNF6Imq1VdtW= ptzE9kT1Ziqrt457ux1ux0R7y1Xo+z9r7t3VjZUW6sevSK7XWuU4824rpmmrmmmZiYqpjvmY4+r= t7rujU83P3nZ0rCuX7GNptrwmfNNVdEVTdpmLcxNMTz1erNXFUxEzMejs65rd/eutZ1i9GHrODH= gZt0049FVvwXhOrz1p5+XVT16O2eI5t3PNPLtRYmr5eeq/jtDquq9EfTBqm3adu5+9tIyNLt00U= U49ddziIo46kcxa57OI879+50Sa/Xruws/wAf0zwe3MbHs5Udevm5Nu5NUzR8ntjifPw7Bcyt5Y= OhYFjBwL1zxm1NNyK4u1XLHWimmOZqmaoqpmvv7qot1TERzD6NG1HdOu61gWNS0vK0/CouU5VdU= W6rfbFuKvBVVTPyoiq5THPEczbq7OJ7HJnGcrzo7YeiUqlKuLsAAAAJVPCuidM27I25tmbGLd6u= o5vNux1Z4qt0/wCdX90dkfXMegHlXTduyNwbknT8S51sDT5mimY7q7ndVV/RxH2c+d5+faKACgA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADdABkAAAA= DgAODgAOCIiO4AAAAAfLXp2Bczac65hY9WVTTFNN6bUTXERPPEVd/D6erT6FBMJ1Y9BFMQoKAAA= AATPAOLMyLGLi3cnIuU27Vqia66qp7KaYjmZaqdIG5L26dzZGp1zVFjnqY1uf8AMtx3R9s98/XL= 0/4Qe6/A41G18K5/hL0RczJj/No76aPv75+qI9LxBYABQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABugAyAAAAAAAAAAAAAAAAAAAAAADG5+yANXe= mD94+sf62n+xS6mCgAoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAA//9k=3D" width=3D"793" height=3D"1121" alt=3D"" style=3D"marg= in-left:-1pt; position:absolute" /><img src=3D"data:image/jpeg;base64,= /9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAAbAE0DA= SIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAABwUGCAkKAgT/xAApEAABBAMAAQQCAgIDAAAA= AAAFAwQGBwECCAkREhMUABUKFiEiGCUy/8QAFwEAAwEAAAAAAAAAAAAAAAAAAAECA//EACkRAQA= CAAYBAwMFAQAAAAAAAAECEQASITFBUQNxkfATImEygaHB8dH/2gAMAwEAAhEDEQA/ALAbx6gFUH= Cruua3rKsFMMDvK/BjZu2mcwdmDZDW+LBBRGGRYS3M6bOyDrRuPBR8MxTTQatUEUk9Go5nvujzW= 3N/m+6DizK0o6FqbmeLnGqRiK1tedm26ftJ0HdJ4cMNZg3jZduPhxR033S3cDFMvXg7ffZF4gi4= TUQ1DjUFHp95X/HtX1jtGj+vMdg+QCyRAYpjTcPIbgrE/dUprRB6grn4FnkcMMk5QE13122/asE= NE9d9lM6ZcD3yLdzI0R2hNAl83CT7Urt/ZDeV8go8yOCkS5trYN0fXsL2s8JJW8FS+6+iVIF5XN= 443LyCQNp+mOeGmjF21EKI75QhG5S1Va1V6/c29TGEPGOaaqynLmVVZ0n5DeivTHcTv/oqsb6R5= H7biswo6/zAR/JqzMArSmcgqO9I6I2/7l9WUpWKtt1ioVPbRcvGSCSRhmh7190fj11yoSWJnpro= e4bApHmWTvI8ypSLBZX0HfVjy+ekINWmZQyfFYrBQQNjJWDmY2KcCMFpAuLw/Yj4+Eci3pV3osW= HN1mF5GZrA7Y8aNMXvGulpv1VN6i8idFo863tPapzVUrLE5OeZx2YQmOqpxeHpS6OrRAhJ3hMoN= E5HkHUc0YPfsPY5ndB78/T6q4QO8jXAnQBpKuMd1OJVcHPFklXbIKIs0zJaNhVYyylxUkKbIimt= iRArWwwuCjT9ym5PBZfs5EJqrNXSP4EIxnu/cLlWyzLw+51V+k/SieWm0lBlWaVWINFrrduv8Xg= ftJJ1jV1HVv1jM7KK3NyzOZElFJjJGidg1PbVEE3koViI0xY0FdziRMlYo8K/RWXfJP2bwWFLhz= Lhtuye/Lp4Zl0nI5b0Xjk+sOi67qGaBq2dW9Zln37c8hDRWBwJogs9xkPH1pgJfTGSKjGrs45HN= XrVsGjzfcyTX0bKoZ3APKsIiPEfgmeePSS5Jp9w972bcZUnz2SeiSk4rlmYsJhVyNlyEKIcO14p= XounKlhk+SOG9m6T82a2RGLrOHCLNKQEAhXKzqy+v8AmbsOrqIlqnW4qt57yjL+icaAa4K27X1Q= DKoJVgpZSOiJuEyfdyAFycQmDKMCxYWXL6CcPXbdZv8AhljnC6qN5RDkD8/7d4bCB5IRuhtY5mm= q4sdSzfbCGPuO44dSy/W4XqSOdh8fxmfK17c9h1i9sWBz2jHO0n/q7SdyOJuZiabG63cOXIo8qT= aKtSDWEGB0ty2WH7OstyXOLWuKVTKa11T1hsYKIp6t07h6S6LuGxZ3pU9BVw51eKBnBFgOkCL+U= y6TpCyboJH2jlsjoOYOHzt1jZRk2dxFuvPcPOXJ9wcqZ6Fqo4968aTzmioPHdI5Nv0TYcBqGVR4= hUhu3x12JZZy6PxCFi/t2XGSVgJEhI6JtI4D2cInd8M2xUBs4PXAHsnjW3Fa70U7RgNGlucZbes= hMwqoLJtujGIRq7o2cT8SQFbxM0fzFhRuItXxRFscWIk09ESe7RYU/piZxXcdO6y+9b/5gfH4zy= RjdXGX25nVMtCK8Mni67MeOM9GWI3gkxvSuevYx2vR1Rrx9XohjBGVzUzdlHxOULKIjLWVgM2O4= cS2tNMprOnZVog2zqIbuSLN07+i7R10HeLWVGpMn0u1eSo/IwY6wK9fRz9wfJyBJk2PVXHXbvIp= wYdPlWrIhugi+2bNlE2m7lRd5hHDh04VVoL6GmthjrX6E6Cv2CVXTF59F8AN/HFzHxTVNsxa47C= swkdlw6SnbqmOYcq5YgK6r9qL1RZHjCnwiophdu9eNyWGg97dz4co+tE490FFnK/2nEbNUkBXc+= u2cOFxFKxwestrnbGNs6qqN9t9c5xjOdc49cev4yo+SKB+mWxVbb12aGnBi4wgebxxrRjNYqppl= Rpdxd8YfLn8j7Cddx9D8v29KRnOz6hO4b8kfLPUcc0dfs6pt6HdDT4jGy01TWV2bLRQ5ursHkGc= 4SHJs1vcV1wOwuu31HVX51OrYRChQK+vHVP7qm2g9m3Y2/ypOIJKams7OqOmjWTN9Cb5uTiTQtr= jV2okRw4bMsLb6Jb7I667Zx8d28w0aZ7f7IMEoP8AYIleqehCRBxiSy9D7D19bcudOl/hbn0kEs= quFVFPjRSTS093tT000xrrgZxSFMYAJ3AweR2dEAm+m+mREbuO2gw3Gu+ce/2MR81QbJ529c+uy= aeu2fXP+fxhW2h13t3eKp3jVNNN6e3Zv+e8XG+VDyg2VLJXAL769GQytlqaIPpVyF4+4zLh01Oa= 2a7HOBjG8egzwPfA9vvFxzp6lHGDVPVBsu9dNhqi7h0R11hBzj5KeufJO9sWn1Kh5OKB4dCmE7N= CrXjsvPAiiT2ewyuhDFiPFi5KvkqtI5yFxo6UZoIMmmrt2q8SwjjXeAZfmelz5B0XOxUiaKvVdl= nhMtN58RIO1tv/AEq5ePJQs4XU29Meu6qm22fT/Ofwl0/AYzRBY6cqJEvBS0kCpRw29ESmU7KkA= yRoVI27RXD0y7T02ZyAAENMXSOiTxgUFMXzNwg5bpqajEUUFNn5898GSK5pBKXb1pxtxg82F3r0= B4843AZZG6E4fizS/GDyRQzepB7/AAamMIDNxjF9MCmG6LMkOBDZ3tKaq3YSDdkUTsOs7FD6CsJ= Rvd85enP3ks7b8kGLCqePUFyzPUYtHBUmMwuxGBR63PjnskGR5XUGLeakUipQQkRWPOWaOmj79K= LKOGOrhyho2VhXMaSrifN4k0mYkxJW8Fj5CLRBMtNJu6wAjxWay6xiQphtvI/fo1fTmeTGUOdd9= t91S8iJudt85X9NV2rawiNMF8yKqdJJADuXgF/+3jE6nQx/h5GTjORgXGrlCSYV1UFnB7Mk1zrt= j2uW+mdsba+7XM5IXeUvv56YX0vHd5I2c1rx/wAMSGsLvK7PHu2RUjlJ8PRGeHcif7fC6wikxHT= AGIkYnSSwwgfOLR8WDKDpJHV2RtmzDyQquLSetUCrNg9wogi4OffK71p5AJHKqKWqrlR8xRhD+Y= v4/ZwaSn2EqQHHY6CRj0aiTBnITEvlaz6SsyDYIEDviqQQaeON0FEwy+uY6WHG2VsRYDCbHISqY= xWNkHhIMGNTeZuG7R883Wyo4331P6OHe6WrhdFlh6s51GtllGo/Vq23yllCqisIZSZ97J6sYk4a= bJiVQBJ4NlEqW1IB1iA0v9B60fmnjJ0igYDhzLLK7ZTdgZECy7HduRHM3KLyR00NNTDfHBczEs0= Hn5pg6T7ubp3x5x+qLAZ8gcm1mn0FGjhYUQhMLNBjaGI0WQYkYrJ13TMWSYlUGD2OSNQFsptq2E= SEGq8SbPt1WrfXr/Fu67nvbvPHWd12GHj8dkX/ACIARHZhGk3Wo3LIDUkNWar41drKrYXUySVwr= /v7c4109uMemfXFvacXZ3SNbjLaMTexB7A44kg9nLbGsA0gNNvhYwG+IDU3kmUwOVfCw4tq+0Zf= Ai8+g2WcpKuEtVfzZ5/FUraF1lyF0YLhAbIRiR6Ry/eIYJFiXzO8VjBm+FflLP36yfoiknp8aSm= iX+vu9nvzttkyR3ovDIRi5gpqr5r+sf/Z" width=3D"77" height=3D"27" alt=3D"" styl= e=3D"margin-left:441.05pt; position:absolute" /><svg font-fami= ly=3D"Times New Roman" font-size=3D"16" height=3D"41.33" version=3D"1.1" wi= dth=3D"209.31" xmlns=3D"http://www.w3.org/2000/svg" style=3D"width:209.31px= ; height:41.33px; font-family:'Times New Roman'; font-size:16px" xmlns:xlin= k=3D"http://www.w3.org/1999/xlink"><defs /><g><g><path d=3D"M0,0 L209,0 L20= 9,0 L209,41 L209,41 L0,41 Z" fill=3D"#7c7c7c" fill-rule=3D"evenodd" /></g><= /g></svg><a href=3D"http://www.anatomiadigita= l.org/" style=3D"text-decoration:none">www.anatomiadigital.org</a>ISSN: 2697-<span= class=3D"awspan" style=3D"font-weight:bold; letter-spacing:-0.2pt; color:#= ffffff">3391Vol. = 8 No. <spa= n class=3D"awspan" style=3D"color:#ffffff">2.1, pp. 19 = =E2=80=93 33,</span= > </s= pan>abril - mayo 2025 Revista en ciencias m=C3=A9dicas, salud p=C3=BAblica Art=C3=AD= culo de revisi=C3=B3n bibliogr=C3=A1fica.<spa= n class=3D"awspan" style=3D"letter-spacing:-0.2pt">2024[citadoel22demarzode2025].Disponibleen: <a href=3D"https://repositorio.unican.es/xmlui/ha= ndle/10902/32729" style=3D"text-decoration:none"></a><a href=3D"https://repositorio.unican.es/xmlui/handle/10902/32729" style= =3D"text-decoration:none">https://repositorio.unican.es/xmlui/handle= /10902/32729</a>12.Ins= tituto = Mexicano del Seguro<= /span> Social. Diagn=C3=B3stico y= Tratamiento de la Hipoacus= ia Sensorineural S=C3=BAbita Idi= op=C3=A1tica </s= pan>[Internet]. 2010 [= citado <s= pan class=3D"awspan">el 22 de marzode2025].Disponibleen: <a href=3D"https://www.imss.gob.mx= /sites/all/statics/guiasclinicas/416GRR.pdf" style=3D"text-decoration:none"= ></a><a href=3D"https://www.imss.gob.mx/sites/all/st= atics/guiasclinicas/416GRR.pdf" style=3D"text-decoration:none">http= s://www.imss.gob.mx/sites/all/statics/guiasclinicas/416GRR.pdf</a></= p>13.Jim=C3=A9nez-Vargas<s= pan class=3D"awspan" style=3D"letter-spacing:5.2pt"> NA, </= span>Trujillo-Bracamontes MR,= Rodr=C3=ADguez-Mauricio AF, Franco-Cendejas</sp= an> R, Mart=C3=ADnez-Wbaldo M</spa= n> del C, Jim=C3=A9nez-Vargas</spa= n> NA, et al. Hipoacusia<sp= an class=3D"awspan" style=3D"letter-spacing:4.5pt"> en </sp= an>pacientes con y= sin COVID-19 antes<= span class=3D"awspan" style=3D"letter-spacing:4.5pt"> y </s= pan>despu=C3=A9s de la recuperaci=C3=B3n de los casos positivos. Revista ORL [Internet]. 2022 = [citado el22demarzodel2025];1= 3(1):9=E2=80=9318.Disponibleen: <a href=3D"https://scielo.isciii.es/scielo.php?sc= ript=3Dsci_abstract&pid=3DS2444-79862022000100002&lng=3Des&nrm= =3Diso&tlng=3Den" style=3D"text-decoration:none"></a><a href=3D"https://scielo.isciii.es/scielo.php?script=3Dsci_abstract&a= mp;pid=3DS2444-79862022000100002&lng=3Des&nrm=3Diso&tlng=3Den" = style=3D"text-decoration:none">https://scielo.isciii.es/scielo.php?s= cript=3Dsci_abstract&pid=3DS2444-</a> <a href=3D"https://scielo.i= sciii.es/scielo.php?script=3Dsci_abstract&pid=3DS2444-79862022000100002= &lng=3Des&nrm=3Diso&tlng=3Den" style=3D"text-decoration:none"><= /a><a href=3D"https://scielo.isciii.es/scielo.php?sc= ript=3Dsci_abstract&pid=3DS2444-79862022000100002&lng=3Des&nrm= =3Diso&tlng=3Den" style=3D"text-decoration:none">798620220001000= 02&lng=3Des&nrm=3Diso&tlng=3Den</a>14.Guam=C3=A1n Pulgar=C3=ADn</spa= n> ET. Comparaci=C3=B3n entre</sp= an> tratamiento convencional y</s= pan> el uso de la dexametasona = intratimp=C3=A1nica en= pacientes con hipoacusia= s=C3=BAbita [Tesis de pregrado,= <span= class=3D"awspan">Universidad Cat=C3=B3lica de = Cuenca, Cuenca, = Ecuador]; </s= pan>2022 [citado = el22demarzode</s= pan>2025].Disponible= en: <a= href=3D"https://dspace.ucacue.edu.ec/handle/ucacue/13118" style=3D"text-de= coration:none"></a><a href=3D"https://dspace.ucacue.= edu.ec/handle/ucacue/13118" style=3D"text-decoration:none">https://d= space.ucacue.edu.ec/handle/ucacue/13118</a><s= pan class=3D"awspan">15.Penn C, Mayilsamy</= span> K, Zhu XX, B= auer <s= pan class=3D"awspan">MA, Mohapatra SS,</spa= n> Frisina RD, et al. A = mouse model of</span= > repeated traumatic brain= injury-induced hearing impairment: Early <= /span>cochlear neurodegeneration</= span> in the absence<= span class=3D"awspan" style=3D"letter-spacing:-0.15pt"> of hair cell loss. Hearing Research [Internet].</span= > 2023 [cited 2025 March </spa= n>22]; 436:108832. Availablefrom:<a href=3D"https://www.sciencedirect.com/science/article/pii/= S0378595523001442" style=3D"text-decoration:none">https://www.scienc= edirect.com/science/article/pii/S0378595523001442</a>16.Clifford RE,<span= class=3D"awspan" style=3D"letter-spacing:3.65pt"> Ryan </= span>AF, on behalf= <span= class=3D"awspan">of VA Million<sp= an class=3D"awspan" style=3D"letter-spacing:3.65pt"> Veteran Program. The Interrelatio= nship = of Tinnitus and</s= pan> Hearing Loss Secondary</sp= an> to Age, Noise Exposure,</= span> and Traumatic Brain</span= > Injury. Ear and Hearing= [Internet]. 2022<spa= n class=3D"awspan" style=3D"letter-spacing:-0.45pt"> [cited 2025 March 22]; 43(4): = 1114=E2=80=931124. Available<s= pan class=3D"awspan" style=3D"letter-spacing:20pt"> from: <a href=3D"https://journals.lww.com/10.1097/AUD.0000000= 000001222" style=3D"text-decoration:none"></a><a hre= f=3D"https://journals.lww.com/10.1097/AUD.0000000000001222" style=3D"text-d= ecoration:none">https://journals.lww.com/10.1097/AUD.000000000000122= 2</a>17.Kumar<s= pan class=3D"awspan" style=3D"letter-spacing:0.85pt"> S, <= /span>Dutta A, Mar= lapudi </span= >SK. Temporal Bone= <span= class=3D"awspan">Fractures after Trauma:= <span= class=3D"awspan">A Prospective Analysis = of <sp= an class=3D"awspan">Presentation, Management, and </sp= an>Outcomes. Indian journal<= span class=3D"awspan" style=3D"letter-spacing:0.7pt"> of </= span>otolaryngology and head </spa= n>and neck surgery:<= /span> official publication of the= Association of Otolaryngol= ogists = of India [Internet].= 2024 [cited 2025 <s= pan class=3D"awspan" style=3D"letter-spacing:-0.1pt">March22];76(3):2367=E2=80=932372.Availablefrom: = <a href=3D"https://pubmed.ncbi.nlm.nih.gov/38883469/" style=3D"text-= decoration:none"></a><a href=3D"https://pubmed.ncbi.= nlm.nih.gov/38883469/" style=3D"text-decoration:none">https://pubmed= .ncbi.nlm.nih.gov/38883469/</a>Esta revista est=C3=A1 protegida bajo una<span= class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spacing= :-0.2pt"> licencia Creative = Commons</= span> en la <sp= an class=3D"awspan" style=3D"font-size:8pt; font-style:italic">4.0<s= pan class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spac= ing:2pt"> International. Copia de la licencia: <a hr= ef=3D"http://creativecommons.org/licenses/by-nc-sa/4.0/" style=3D"text-deco= ration:none"></a><a href=3D"= http://creativecommons.org/licenses/by-nc-sa/4.0/" style=3D"text-decoration= :none">http://creativecommons.org/lice= nses/by-nc-sa/4.0/</a>D i</span= > a g </s= pan>n =C3=B3 <spa= n class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#fff= fff">s t<span= class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-spac= ing:0.4pt; color:#ffffff"> i c <s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#f= fffff">o M</sp= an> =C3=A9 d i c o<s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#f= fffff">P =C3=A1</span= > g i </s= pan>n a = 31 | 33<img src=3D"data:image/jpeg;base64,/= 9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEP= ERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4= eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCARhAxkDAS= IAAhEBAxEB/8QAHAABAQACAwEBAAAAAAAAAAAAAAECCAMGBwQF/8QAWBABAAEDAwAECAsDBgsGA= wkAAAECAwQFBhEHEiExExQXQVFVlNIIFiJUVmFxgZKT0TI3dBWRobGysyM1NkJSc3WChMHTGCQn= M6LDJWJyJkNFRmOjwuHw/8QAGwEBAQEBAQEBAQAAAAAAAAAAAAECAwQFBgf/xAA1EQEAAQMCBQM= BBgUEAwAAAAAAAQIDEQRSBRMUMZESIUFxMzVRYYHwFSJCodEGIzKxNMHh/9oADAMBAAIRAxEAPw= DpoD+lPxQANEosoAAECSqSLKAKgAkkJPeE94pIACT3Is9yAABAkqkiysBAIkosoKkrHckrHcqAC= CSEiwACglXmVKvMCEhIIAKAJJAAQsJKLKKSACD9HDteCt8z+1V2y+XCtde51qo+TT/W/RYmWK5+= BjPeyYz3sswANKAAJKpIAAADIAKgAqsZCQPgAlCEqnsYkiNQkosoKMZ7e1ap8zGGKpy1TAksuWN= TDeQFpjsIgmQWYRqUhJ7wnvAAASUVBRJUnu5QYVT5mE9yzPM8pPc5z7ukIkwqpgliLKfZ2osLTT= 1qo9Dk+5KY6sfWy5daacQ5VVe76AHocAAaJRZQAAIElUkhZQBUB9uBpebm4OdnY9masbAt03Mi5= PZFMVVRTTH2zM931T6Hb+jros17fGi3tV0vO02xZs5E4805FdcVTVFNNUzHVpmOPlR/S897VWrN= M1VziOzrbs13JxTDoU96PY5+DxvD1tof5t3/AKZ/2eN3+ttD/Nu/9N5f4tpN7t0N/a8cOXreV8H= /AHxZpmbWTo2R6KaMiuJn8VEQ6JuzZe59rXONc0jIxrfPEXojr2pnzcV08xz9XPLva12nvTiiuJ= lzr0123GaqXX57kWe5HrcAAIElUkVYAESUWU5gWElY7klY7lQAQSQkWAAUEq8ypV5gQkJBABQBJ= IACFhJRZRSRaYmqqKYjmZ7kfZgWv/vao+qlJnDMziH02aIt24pjzd7MHNyGM97JjPeLAA0oAAkq= kgAAAMgAqACqxkJA+BJWUSSElJhkiNMZRlLCe/hJnCwkx28oyYzDm3EiSqSKR3s0pjiFVBOFFGE= wMp704BAQCUVEX4GFc89jKZ4hxpVKwhCjnhtAEBaKeZ59COWmOIappzOSZSUZVMeJdXPD6QHVxA= BolFlAAAgSVSSFlHPp2HlajqGPgYVmq/k5FyLdq3T31VTPEQ4GxXwZ9gzh4kby1SzHh8imY0+ir= votz2Tc+qau6Pq+15Nfq6dLamue/wAO+msTfuRTD6N57OxdlfB71LTbc03MqvwNzLvRH/mXJuUc= 9v8Aox3R/wD3L7fgm/u6zv8Aa1z+6tP3/hDTHkk1iP8AVf3tL8D4Jv7us7/a1z+6tPy1Vyq5oaq= qu81f+n26aIo1VNMfg9T1vVcDRdMvanqeTTjYlmIm5dqiZinmYiO765h1WOljo9nj/wC02L+Cv3= XF0/8A7pNc/wBXb/vaGnTpwzhlGstzVVMxiWdbra7FcU0w3m0Ddm29fqmjR9bwc2umOardq9E1x= Hpmnv4+5+nnYuNnYl3GzLFvIx7tM03LdymKqao9ExPe0MxMnIw8q3lYl65Yv2qoqt3LdXVqpmO6= Yluf0S7hvbo6P9L1fJqpqyq7c28iYjjm5RVNMzx5ueOfvcuI8MnR4rpnMNaTWRqM01R7tcOnfYN= Gy9ft39Opq/kjP5qsRM8zarj9qiZ9HbEx9U/VMvN23PwktMtZ/RVnXqrcVXMK7ayLc+emetFM/w= DpqlqfpUzTqeLNNm1fmL1HFu9zNFfyo7KuO3ifPw/QcJ1VV/TZq7x7Pl66zFu9iO0vedP6O8Kvo= yo29XoVVWu5GlVanGp+Kz1aLvXiqjH8Jx2VdXsmOfNM+d0jb3Rxo2dtjb+rapum9p97XMivGxrN= OnzdiLkXJoiJqiuO/iPNHe9Kubc6b691U6/Tq2k0RExP8n05t6MTiKerx4P0T39/f2vl1HY3Shm= WtIteKbUsW9J1CvPxrdm7dinwlVybk0zz/m8zMREcdnnfJt6qujMc2Pec9/r7f9PbVYpn+ifb2d= H0Dojrz8/VsHLz9Qt3NPz6sTwuPp/hbVcRETFXWmunie3mae3jsfp6T0c7Z0zTd9YW48+u5l6NN= iLeXasVT4CiunrU3IoiviqaueJpnu6vf2ubeWsdJG0IzLm5Ns6Jm6fnZ3jkVXLNV6xavcRT8maa= 4mn7Kvr4878nae6N+7n3BuTU9I21pesRqduxTqWHctc2OKKerbmIqrie6mrzz5/q49M16u7RNfr= j0+3aY/JyxZomKfT7vjwejrQ6NO0S/rW6b2De1+5VTptu3gzcjq9aIoruT1o463NPZ5ut9U8fTp= 3RRh0xkU63uSvBu29bjR7UWcKbsXblUUzRVz1o4iet9z5r2+Nz7UvWdC1vbeiXcrSrs3cOnMx+v= XhTX8uIommrjiOYmO/js9Ecfi0dIm4PFqbV+nEya41mjWartyietXfpiOIniYjqdndERPomHoij= X1xmmr2+sf2/RxmrTU94di3H0V4Gn2cy5p25pz69O1CxhZ1m5gzamibtVMRMT1pir9qP1fqal0c= 0a/u/WsOa68K1pVy3i0fyZpEeBqiaIq5nm5z1uZ7eZqn6+50zL6SNcyKtXm5i6fH8rZtnMv8AFu= v5NdqYmmKfldkT1Y555+52La28d87o1DW7OnbY0fXIzr1Gbk4l6zM27VcUxRFVPNcT3RHfM/c5X= Leuop9VVXb5zHzhuivTVTiI7uldI21ruzt15GhXcujL8FTRXRepo6nWpqjmPk8zxP3y69Hc7V0s= Zu4s/eV+/ujTLGnal4K3TVYsxxTTTFPyZ/aq831v1dS6JN1afs+rdF+5p04NONTkzFN6qa+pVET= HZ1e/tjzvqWtTTRao51UZn+7x12Zqrq9Ee0OgAPY86SEuy9H+ydY3vn5OFo1eLTdx7UXa/D3Jpj= jnjs4iWLl2i1TNVc4iG6KKq5imnu60P2d6ba1HaWv3dF1WbE5NqimqqbNc1U8VRzHbMR6X4zVFd= NymKqZzEs1UzTOJEq8ypV5m0QkJBABQBJIACFhJRZRRnZom7ciiPv8AsfqUxFNMUx2RHY4cK14O= 11pj5VTnYqlyqnMgDLIxnvZMZ7xYAGlAAElUkAAABkAFQAVWMhJIfCSIqSsAIglUsOGVU9qcszL= pEIKkwipwcKSQSACZABUnvRZ70CA4AVEmGTGqeIQYVT2sPOySYYlqEARUAjtngwZZW457XIkRxH= Bzx3ukRhMkosoqPoAdXAAGiUWUAACBJV9eiaXm61q+LpWnWpu5WTci3bpj0z559ER2zM+aIZqqi= mJqntDURMziHcOhLYte9N00+M0VRpOFMXMuru6/+jbifTV/VE/U2+tWrdm1TatUxRboiKaaaY4i= mI7oh1/o72rh7P2xjaNh/Kmj5d+757tyf2qv+UeiIiHYrlNU0TFM8Tx2TL8NxHWzqr2fiOz9NpN= PFi3j5+XgXwot60xTRsvAuc1VdW9n1R5o76Lf/wDKf93637/wTv3dZ/8Ata5/dWnUel3oks6Lt/= Vt3X9w5efmeEi7cpuWaaYrqrriJ7Yns/adu+Cb+7rP/wBrXP7q09t+bP8ADoi1Off3+rzWuZ1ea= /wdl6f/AN0euf8A0W/72hpy3F6f/wB0muR/8lv+9oadPof6f+xq+rycV+0j6Daj4LMV+TOvr89X= +ULvU+zq0f8APlq/p+Hl6jm2sLAx7uTk3qurbtW6Zqqqn7Ibo9Fm3Lm1th6Zo1+KPGLVua780zz= HhKqpqq7fPxM8c/Ucfu08mKPnJwqieZNXw+bpr6kdFm4ev3eKTx9vMcf08NN9I/xrh/6+j+1Da3= 4Smq2sDoszMeqvi7nXbdi3T56vlRXP9FMtUtI/xrh/6+j+1DHA6ZjTVz++zXEpib9MN1OkvW8vb= exdT1vAptV5OLaiq3F2JmiZmqI7YiY9PpeCYPwhN228u3XmabpF/HiqPCUUW66Kpjz8VdaeJ+vi= XtHTt+6XX4//AEKf7dLTXlw4No7OotVTcpz7uuv1Fy1ciKJbx41ek732Xbu1Wqb+nariczRVxPE= VR2xPoqpn+aYeC9COl720ncm6tJ2xe0SL+Feox8urUKbkxV1a7kUzR1Psq7/qeudAGNkYnRHodv= JoqorqouXaaZ/0a7tdVM/fExP3ut9C1dFzpV6SKqOOPHqI++K70T/S8NqqbVF63T7xH+Xprp9dV= uqe/wD8eI9MFjX73SZnY+s04l/V7k2aaqcCmubdUzbp6sUxV288cfe7BonQPvjUcSnIvzpunTV3= Wsm9V1+PTMUU1RH8/L0fRNLx874UOu5d+iK5wMK3dtRPmrm3bpif5pqfJ8InpF3HtjXMLRNAyac= PrY0ZF69FumqqrmqqIpjrRMRHyZ83n/n+nTrtRXy9PYxE4h4p01qn1XbucZdSn4PG8PWuh/m3f+= mw6GdG3noe/twaNt6/ok5+Ha8Fk15nhJtVRFcfsdWOe/08PSfg37p17dOjatf13UK825YyKKLc1= UU09WJp54+TEPzeiT9/e/Ptq/vIcLur1E03bV6Yn0x+H5w60WLUTRXbzGXQt3bN3fvbpfztH1HK= 0W3q9vBoyLldqblNiaIiiIiOYmrn5Uebh7zuHbObqPRZc2pZvY9OZVp1vFi5XM+D61NNMTPMRzx= 2eh4T066/rG3OmnUM/RM65hZNWHZtTXRETM0zTTMx2x6Yj+Z7VurV9SxOhS5rePmXLeoxpVq9F+= IiauvNNMzV6O+ZcdVzposTGMe2Pq3Y9EVXInv8tcd49GGubW1nRtLz83Trt7V73gbFVmuuaaaut= TTzVzTHZzVHdy7THweN4T/+LaH+bd/6bote4t57x3BpVq5n5Oo6nZvx4hHVp5ormYnmOIjz0xPb= 2dj3HE2f0212KK8jf+HYuT30RHW6v1c+DfT1Wo1Onppiq5TE/P7w8di1ZuzMxRMw803J0Gb20fT= q8614hqdNuOa7eJdqm5EeeYiqmOfsjmfqfvfBE/ys1r+Bp/tw9v6PdO3XpmlXsXdusY2rZHhetZ= vWqJpmKOI+TV2R5+f53mvQvYtY3TnvqxZoii3TVc4pjujm7y8FXELmo0923cmJx8x9XqjS0WrtF= dPtl5v8Jj97Wd/D2P7EPNHpfwmP3s538PY/sQ80foeG/wDi2/o+Vq/tqvqJV5lSrzPc86EhIIAK= AJJAAQsJLmwrPhLvWq/Zp73DxM1RER2y/Ux7cWrUU+fzkzhmqcOSUWUc3IAAYz3smM94sADSgAC= SqSAAAAyACoAKrGSe4knuRWKopCQMap4VjPektQhMAy2ncvIiC8dqSpKiAAAIMZ7xZ70FiQAUcV= c81M654jhxyzKgDOCEk4UGssWVuOO1IjmeHJDVMM1SANJCTCLKA+gB1cQAaJRZQAAIGy/wbtgxo= +lRunVLURqGbb/7tTVzzasz5+PTV3/Zx6Za36bk04efYy6sazkxarivwN6Jmivjt4q4mJmPveqf= 9oHedNMU0adoNMRHZxj3ez/9x8rilrU36OXZj2nu92juWrVXruNit367iba25m61mz/gsW1NXHn= rq7qaY+uZ4j72ts9Pe+pqmYp0uI57I8WmeP8A1PwukDpQ3JvXTLOm6pRg2Ma1d8L1cW3XR16oiY= jrc1TzEcy6O8/D+D00UTOopiZddVxCqur/AGpxDv8Au3pc3ZubQcjRdSjA8VyOr1/B2Jpq7Koqj= iefTEPYPgm/u7z/APatz+6stYHfOjzpS1/ZGi3dK0rD02/Zu5FWRVVkW65q600008fJqiOOKY8z= tr+HxVp+Xp6Yj3y56XVYveu7Pw251XTsHVcC7gali2srFu8eEtXaYqpq4nmOY+2Idfjo62LHExt= TSPvxqXhX/aF3l6r0L8m7/wBRJ+ELvH1ZoX5N3/qPiUcJ11PtT7fq+lVr9NV3/wCmxmj7f0LR5q= nStIwcGqqOKqrFimiZj0TMQ+nU8/D0zAu5ufk2sbGs09a5cu1RFNMfa1e1Hp731lWposRpWFP+l= Yxpmr/11VR/Q6JubdW4ty3Yua5q+Vm9Xtporq4opn6qY4iP5nW3wLUXKs3Zx/dividqmP5Idn6c= N/fHbcNNOF16dJweaMaKo4m5M/tXJ+3iOI80fXMujaR/jXD/ANfR/ah889yUzNNUTTMxMTzEv01= rT02bXKo7PjV3ZuXPXU3t3TomHuPQMrRc+q5GLlURTcm1VxVxExPZPb6Hn2J0DbEsZNu7XGpZFN= E8zbuZPyavqniIn+lrHGu63651H2mv9Sdd1uY4nWNQ4/ia/wBXw7fBtTaiaaLuIn6vpVcQs1zmq= jLb/pF3pomw9uVVVXLEZFNnweFhUTHWrmI4piI81MdnM+aPuh5f8EnIu5Oqbqyci5VcvXfF67ld= U9tVUzdmZn75eBXbly7XNy7cruVz31VTzLlw87NwpqnDzMjH6/HW8Fdmjnju547/ADvRRwaKNPV= bir+ar5c6tfM3YrmPaPh7vqu7MXaPwmdTzNQueDwcqzaxr9fHMURVbtzFX3TTHP1TLvnST0caH0= kU4eqWtUnHyLdrqWsnH6t23ctzPMcxz2988TE+fztWtAxLu491abp2XmXfCZ+Vax6r9czXVT1qo= p57Z7eOe76nvWJ0A3sSmacTfWfj0z5reP1f6rjx6yxb0tVExc9NcR+Dvp7tV6mqPRmmZd66Jdg2= 9g6fm4lvU69Q8bu03Jqqs+D6vEcccczy6Z0Sfv6359tX95DuWz9DwujXbOdd1jct/Ntzcm9cycu= vq9WIp4iimJmfRPd2zMtUtzbiydR3dq2t6ffycOM7KuXaYouTTV1JqmaYnifRw4aPT16uq7Hqzm= O/6uuou02Io9u3w7d8Jqf/ABZzf4ez/Yh77oWPg726GcLTreX1LWbpdvHruW+KptVxTETHHpiqO= 76mnWVkZGVem9k37t+5PfXcrmqr+eXLhZ2dhRPieZkY/Pf4K7VTz/NL69/hdVyxboirFVLwWtbF= FyqqY9qntej7PwuiXpT21k6rrlrLx87w9vw04/gqbNXU6tMz8qrvmqI57OHq/SVtHWt114VzRt4= 5uhU2KaorpsRM03eeOJnq1U9scT6e/wA3n09zc7NzerOZmZGTNHPV8Lcmvjn0cy5cfV9Wx7cWrG= p5tq3T3U0ZFVMR90S5XuF3rlVNya/5o/JujW26ImmKfafzbj9Ge1tX2thZljV9z5OvV37kV27l+= Kom3ERxxHWqqdB6If39b8/+qv8AvYa8TruueudR9qr/AFcFnUdQsZFzIs5+VbvXf/MuUXqoqq+2= YnmWKODXMV+quM1R+DVXEKc04p7PQvhMfvazv4ex/Yh5o5MnJyMq9N7Kv3b92Y4mu5XNVU/fLjf= a0tmbFmm3M5w+deucy5NX4iVeZUq8z0OaEhIIAKAJJADK1RNy5FEechX0YFrmrwtUdkdz7Uopim= mKYjiIZMTOXGZzKSiyiIAAMZ72TGe8WABpQABJVJAAAAZABUASVVCQkVioiJCVSxWe1GZagFRFy= EKiqEgggvCSNZABMJPeiygAJVJKsKu2eUZJLm2nCKAgcLTHM/UBTHHayU4dGEAFhJRZQR9ADo5A= A0SiygAAQJKpJCygCoAEkJPeE94EiKAk9yLPcgAAQJPcqSKytV127lNy3XVRXTMTTVTPExMeeJf= b/LOr+tc72iv9XwwMzRTV3giqY7ObMzMvLmmcrKv3+r3eFuTVx/O+dZRYpiOyzMz3SVjuSVjuaZ= AEEkJFgkAUEq8ypV5gQkJBABQBJIR+hhWupb69UfKq/oh8uJa8Ld7f2Y7ZfpMzLFU/CgMsJKLKA= AAMZ72TGe8WABpQABJVJAAAAZABUEmFFViSSSCMap8ysZ70lYQBGl8yLPciILxKMlViMphEVAAJ= RU4RYE4UBjPYwZ1T5mPDMtQgJwirwxXkMCM6Y4hKI5llMLTBKcqxOWmMrKEgpKcKCOYc3imX82u= fhk8Uy/m9z8Ms9Ra3R5OTc2y4RzeKZXze5+E8Uyvm9z8J1FrdHlrk3NsuGUc84mV82ufhTxPK+b= XPwnUWt0eU5NzbLhHN4nlfNrn4TxPK+bXPwnUWt0eVizc2y4Ulz+J5Xza5+FJw8v5td/CRqLW6P= K8m5tlwDn8Ty/m1z8MniWX82u/hleotbo8pybm1wDn8Ty/m138MnieX83u/hlOotbo8kWbm2Xzz= 3jmnCy/m138MnieX82u/hleotbo8nJubZcI5vE8v5td/DJ4nl/Nrv4ZOotbo8nJubXBPcjnnDy/= m138MniWX82u/gk6i1ujycm5tlwDn8Syvm138EniWX82u/gk6i1ujyRZubXAkvo8Syvm138EpOF= l/Nrv4JOotbo8rybm1wwOfxLK+bXfwSeJZXza7+CTqLW6PKcm5tl88o+icLL+bXfwSeJZfza7+C= TqLW6PK8m5tfNKx3ObxLL+a3fwSsYWX82u/gleptbo8pybm1wD6PEsv5td/BKeJZfza7+GU6m1u= jycm5tl88jnnCzPm178EniWZ81vfglY1NrdHlZs3NsuAc/iWX82vfhk8Sy/m178Er1FndHlOTc2= y4EnzPo8Sy/m178Ek4OZ82vfgk6izujycm5tl8w+jxHM+bXvwSTg5nza9+CTqLW6PJybm2XzD6P= Ecz5re/BKeI5nzW9+CTqLO6PK8m5tl869szxEczL9vTNobq1PG8Z07buqZdjrTT4S1jV1U8x3xz= EP0sLo+3rFc117U1mOO7nDr/RidXYj+uPJybmP+Mvxce1Fq3FPn88uV2H4i70+iuseyV/ovxE3p= 9FtY9kr/AEY6uxvjy5ci7tl10di+Iu9PotrHslf6HxE3p9FtY9kr/ROrsb48nIu7ZdclHY52JvT= 6Lax7JX+ifETen0V1j2Sv9Dq7G+PJyLu2XXR2L4ib0+iuseyV/ofETen0V1j2Sv8AQ6uxvjyci5= tl11j53ZfiJvT6K6z7JX+jH4h71+ius+yV/odXY3x5WLFzbLrg7H8RN6/RXWfZK/0PiJvX6K6z7= JX+jXV2N8eV5FzbLrg7H8RN6/RXWfZK/wBD4ib1+ius+yV/onV2N8eTkXNsuuI7J8RN6/RXWfZK= /wBE+Ie9forrPslf6L1djfHk5FzbLrg7H8Q96/RXWfY6/wBD4h71+ius+x1/onV2N8eTkXNsuuJ= y7J8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHk5FzbLrg7H8Q96/RXWfY6/0PiHvX6K6z7HX+h1dj= fHlORc2y64Ox/EPev0V1n2Ov8AQ+Ie9forrPslf6L1djfHk5FzbLrQ7J8Q96/RXWfY6/0Sdh71+= ius+yV/onV2N8eWuRc2y61PenDsnxD3r9FdY9kr/Q+Ie9forrHslf6HV2N8eTkXNsutTHZ2I7N8= Qt6fRXWPZK/0Sdh71+iuseyV/odVY3x5Xk3Nsut98I7J8Q96/RXWfZK/0T4hb1+ius+yV/odVY3= x5OTc2y64yh2H4hb1+ius+yV/ofEPev0V1j2Sv9DqrG+PJybm2XXkl2P4ib0+iuseyV/oTsTen0= V1j2Sv9DqrG+PJybm2XWx2P4h70+ius+yV/ofEPekf/lbWPZK/0Oqs748rybm2XXB2L4ib0+i2s= eyV/ofETen0V1j2Sv8AROqs748rFq5tl1ye9JniHZJ2JvT6K6x7JX+jjq2PvLnj4r6v7JX+h1Vn= dHleTc2y66OwfEfeP0Y1f2Sv9D4j7x+jGr+yV/ox1FrdHleTc2y6+xdi+JG8foxq/slf6J8R94/= RjV/ZK/0Ootbo8nKubXXk4dh+JG8foxq/slf6M6NibzqjrRtbV5j+Er/Q6i1ujycq5tl1+I4jgl= 2P4ib0+i2seyV/ok7E3p9FtY9kr/RrqbO6PJyrm2XW+xOHZPiJvX6K6x7JX+h8RN6fRXWPZK/0X= qbO6PKcm5tl1yCYdj+Im9PorrHslf6HxE3p9FtY9kr/AEOps7o8nJubZdbHY6tib0+iuseyV/on= xF3p9FdY9kr/AEOps7o8pybm2X6PAD8C/WgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD79= v6Vla5rWLpOHTzfybkUUzPdTHnqn6ojmZ+x8D3n4P20/ENKr3Hm25jJzKerjxPfTa/wBL7ap/oi= PSg9G25pGJoeiYulYVHVs49EUx6ap89U/XM8z979EiOBAAAAAAAAAAAAAAAAAAAAAAAAAcVc8yz= rniOzvcYJwjIBiLwgJMCgIkxyvADHjhO9mkwDHhGRwDDgZcJPcDivVdSjmO/wAz4/O5r1XXrmfN= HZDjmBWExDGaWcwA4+IThyTDGY4US3RNdcUx53300xTEUxHEQ48S31aetMdsudFYpLLhBEJXhBM= JwjJOBUlOIZSgNRAGkAAAAAADl+1tbFx9Qp1PT68eLmVcw6rmHVH7VNy3MVzEfbRFcfbw7PG29O= qysKIxaJtaPdm1rU01TPhOra8NVM+jmabtv/dp88g8+OXctH0zS8/B03WrmNTRj4l3I/lK1RMxE= 00R4W3H1daJ8H/ux5zWNP0rS8bUNWoxaLuPlZdidNtXJnjwVVMXq/t4iaKJ+2QdNHoVe2NPs39Q= sXMejjVbtVGi1TVPyafBeGpmPTz17VH31eh1nc2HaxKMLDx8Oqi9i4VurOucT23bny+30cRVRT9= sA/Dct+xXZtWrlVdqqLtPWpii7TVMRzMcVRE80z2d08T53bNcr0jQ8qNCo23j5seL26qsu7cuRe= u1V24q69E01dWKYmeyOrPZHa59O0HTM7L2xau0UWreRpt7JyO2qJvVW670xE9WJntiimPkxzx3R= yDo47nuCjbuVoGVkY06RayseqjwP8m2sziqJniabk3aer3czE8xPZL9CbG36922tq29vYtFrJot= 0VZc3Lk3qLldqKutT8rqxETPdxPPH1oPPHLTYrnFqyYrtdSmuKJpm5TFfMxM9lPPMx2d/HDsmLG= naNtfT9Tu6NjapkZ927FVWVNfg7NNuYp6sRRVHyp55mZn0cQ4rmLh5e2NSzsbTYxrs6pYt2bfXm= ubdFVFyepEz2zHMR39vZCjrZ//ALveh5ek6VXpuqadXjaFZzcDDru8Yd3IuZFuu3x1uvXMTant5= iY5757H5moXNK0W7i6RG2cbUPCY1m5cyrly5F6/NyiKubU01RTTETV1Y7J/Z7fOg/A1XSbun6jn= 4dV6xXOFX1a6puRTNfbx8mmZ5n7I5fnO77ixMa/rO9712x1rmNMVWZrj5VEzfopn7+JmHz6jc0r= RqsTSPi1j5/hcazcuZNdy7F69NyiKubUxPFMRNXEfJnu7QdVosV141zIiq1FFuaYmJuUxVPPPdT= M8zHZ2zEdjG7buWa+pdt126+Inq1RxPExzH88TEu5a1p+nadc3Jes6faqjT9VsUWbV6KpiKObnN= E8TzxPViJ7eezvfRr1yjWt5YuJRomk26LOLZyL1XhLlqmq3GNRXPhKpqniimO7jieI75lR0S1T4= S7TbieOtVFPP2vs3Bptej65naXcu03q8W/VamumniKppnjnh2jcmHpdzRcPVcG3pVF2jUIxq503= w8WqomnrcT4aP2o476eztfl9I1q7O+NfvRbrm1TqF2ma+rPViZqniOfT2T/Mg66cw7xqEaNo+uW= NufFrHz7dUWabmTcruRfvTcppnrUTTVFMR8rsjie6OUu4Gk7ewtduXtOx9WvYOrxh49V+qqKOrx= c5mqKZjn9mOznv+xR0gdy1W5pOheJafO3MTUJycW1k3ci7cuxXXN2mKuLXVqiKYp56sTxPbHa/I= 3zh42n7sz8PDsVY9i1XEUW6u+mOrE8T9YPxAAAAAAAIiapiKYmap7ojzg7P0Z7Xubq3RZwqomMO= 1/hcqvjuoif2ftqns/p8zaaxat2LVFq1RTRbopimimmOIpiO6Ih1Dom2rG19sW7d+iIz8ri7lT5= 4njso/3Y/pmXcmQAAAAAAAAAAAAAAAAAAAAAAAAJEq5nsBhM8zyizCAnHApwCBMAJMIyAYizCAg= pwCJwoDFxX6urTxHfLmmYiOZfLXM1VTIsOLhJhnwgrCYSYZzCcA42Vqjr1xHm86zD6LNHVo+ue2= RJZ+bgAQAFSYRkTAMeEZIIgvCA1CAaAAAAAAH06ZnZemahY1DBvTZybFcV264iJ4n7J7J+9z2Na= 1Wzb1C3azblNOpRxlxxE+Fjnrdv3893pmPPL88B9mJqediadmafj5E28bNiiMi31Ynr9Weae3jm= OJ57jN1PPzcHCwsrIm5j4VNVGPRMRHUiqeZjsjme30vjAfoX9b1a9Vp1VzNuVTptNNOHzEf4KIn= rRx6e30+iI7ohlk65q2RVqU3s2uqNTqivMjiIi7MVdaOeI7OJ9HH8z80B+zjbp3Bj4EYVnUq6bV= NE26Jmimblumf82muY61Mds9kTD469W1KqcGrxuumrAo6mLVRxTVajrTV2THE99Uzz39r4gH6us= bh1nVrMWc7M69qKuvNFFui3FVX+lVFMR1qvrnmXDTrGpU6zb1inJ4zrc0zRd6lPZNMRTT2ccd0R= 5nwAP09H1/V9Js12MHL6lmuetVauW6blHW7ut1a4mIn64jlx5WsanlWsi1k5ly9Tk36ci9NfE1V= 3KYmIq63fHEVT2cvgAfuZO7dw5Niuxe1GaqLlubd3i1RE3aZiYnrzFPNc8T31czHmYYO6NfwsGj= DxtRqptW4mLczbpqrtR6KK5iaqP92YfjAPvv6zqd+5n3LuT1q9Q48amaKf8ACcVRVHm7O2Ins4d= q0TOro0nEt0b6x8TGooiK7d7EqnJx/wDSptVRRVMR38cVU/ZHa6MA/Y1/XcjUNQ1auxVVbxNQy/= GJtVUxM9k1dTme/mIqnuSNya3FWDXTm9W5gUdTHri3RFVNPHV6s1cc1Rx2cVcxx2PyAH6up7h1j= UrUWszLiu1Tcpu026bVFFFFVPPE000xER+1PZHf5+XHn65q2dby7eVmVXKMzJjKv09WmIruxEx1= uIjs757uIfnAP2sPde4cTDpxMfUq6bdFPUt1TbpquW6fRRXMdamPqiYfmxnZcadc0+Lv/drl2m9= XRxHbXETETz391U9j5wHd9v51y3o+Nas73xcKxRH+Es5OJVVex557fAzFFX2xxVT2+h1zdmpWtY= 3JnalYpuU2b92arcXP2urxERz9fEdr8sAAAAAAAel9A2051fXp1vMtz4np9UTb5jsuXu+I/wB3v= +3h5/o+n5WrapjabhW5uZGRciiiIj0+efqjvmfREtr9paJjbd0HE0nEj5Fijiqvjia6v86qftlJ= H60RxACAAAAAAAAAAAAAAAAAAAAAAAABLGFn0AITCgjCYRmkwKxOFnsQEFJgESYUBOEZJwCJwqV= TERMyDhvzPHVj73C5J5meZ70mIkWGEpMMpiUFY8Jwz4SY8wFmjrV8z3Q+hLdPVpiPP52QyicLMA= MRknAIAAnCgqIyOAa3+TPfHqK5+db948me+PUVz8637zaAXKNX/Jnvj1Fc/Ot+8eTPfHqK5+db9= 5tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/ACZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPf= HqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me= +PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav8Akz3x6iufnW/ePJnvj1Fc/Ot+82= gDI1f8me+PUVz8637x5M98eorn51v3m0AZGr/kz3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8AJnvj1= Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfH= qK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGR= q/wCTPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav+TPfHqK5+= db948me9/UVz8637zaAMjyroT2Hl6FdydY1zGiznTzax7c1RVNFP8AnVdnZzPd9kT6XqpxHogQA= AAAAAAAAAAAAAAAAAAAAAAAAAEmFBEADIAGE4SYZAZYIzmEmBWKcMkBBU4AcN6fldWO5yV1cRy4= e8GKTDLhBWKTHLNOAYcSzs08zz6CI5nhzU08RxAJwKCMTheAGIpwDHhJZAMRZhAAAfoAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgpwJ7oEwAAAnD= GYZgMEZTDC52QK4655q+qGEwzlAYDKYSYBjMehGREczwC2qe3nj7HIccAInDIBiLwnAJwjIBicL= wgIKkwCcHCgPuAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAOAEwkwKSCAgo4qp608s657OHHwJhJSWRwKx4RlwnAMeGVuniOfSRHayAOABBU4AAB= JhGQDEXhASUZJMAnBwqA+0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAABJ445VjX2iYYTzyjJOBWPBwoDEmF4POBTCgCcIyAYi8IAnCgIKnAC= KAnCMkQQ4ZU0zVVEQ5vB0ehRmAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAABMseFnvBGMwkwzSYDLBJhnMJwKxWIAE4FAQJAE4UBOEZJwCC8I= BwigIkspgopmqrjzA5LNPEcz3y5OfqAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJVJAAAAEwJMKAxmE4ZpwKwFmAEOABOOBTgEAASYUBiMk= mARzW6eI+1x245q+qHNAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAgnHCn3ggqcCgAAAgnCgMOEZpMCsRZhACYAEFSYABlbjmeQZ0xxCg= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAJg4SVAQAXIAGAATCJMMgMsOEZ8JMCsRZQDjlyUxxHEJRHnZAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACJMCgIHC= CqAAAInCcdrIgFAFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAO04ARBUDIAKR2qQAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHHaAmAA= UAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAmU5fkbu3Hpe1= 9LjU9YvV2cTwlNublNE19WZ7uYjt4YbZ3PoW5sa5f0LU7ObTa4i5FHMVUc88cxMRMd09/oa5dfp= 9WPZiblMVenPu/a5OWq1vpe3roOu5+PGfb1DGt5VyKbWXR1uIiueyKo4q7vrbI7M1ivX9radrNe= PGPVmY9N2bcVdaKZnzc+d6dVobumiKqu0vNptbb1EzTT3h+z5uSJ5dO6Yd31bI2Hm63Zooryomm= zi0V/szdqniOfTERzPHn4eDbL0bpw6QdMr3HibvvYWLeuTFqq/m3LNN3iZiZoot0zEUxMTHdH1P= I9jarkeG5WD0j7J6MLtOq9IGlYesXdXpqt6hm3671qLE2uPBc3LVUxVNVMzx1fv8z07B3Fp+kbJ= 0nVNzbg06nwuHZm7m1XIotZFybcTNVHMRzFU8zEREdnmgHZB1XTekXY+pVZFOBuXAyJxsevJvRR= XM9S1RHNVc9ndEPmp6VejqqqKY3fpfMzx23Jj/kDuY+LK1fS8XSf5WydRxLWn+Di541Xdpi11Z7= qutzxxPMPwNN6SNi6nqFjTsDc+n5GXfri3atUVzM11T3RHYDtg8p6LN1alas7l1DeG/ND1jBwq7= c0V4nERiUzVXExc4tUds/Jj/O7pdlsdKXR5evUWqN36V1q54jrXurH889kA7iJTVTXTFVMxVTMc= xMd0qAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAADy/wCE5+7G5/F2v+bqXwR+7c3/AA3/ALrtvwnP3Y3P4u1/XLqXwRv2dzf8L/7= r7Vr7sq+v+HxLv3jT9Hie5P8AKHUv4u7/AG5be9EP7sdv/wADR/U1C3J/lFqX8Xd/ty296If3Zb= f/AIGj+p6uNfYW/wB/Dz8H+3ufv5dD+GBjX7/Rfi3bVM1UY+qWrl3jzUzbuUxP4qoj73Yvg46jg= 53RFotvEv267mLbqs37dNUTVbriursqjzc9/wBku5bm0TT9x6Fl6LqtiL2Hl25ouU88THniYnzT= E8TE+mHgWb8GOvxu7Vp28PB48zzRTew5muI9EzFcRP28R9kPzb9G7V8MCf8Awtxv9q2v7u68d6U= MvJzNf2Fpl/TsnVMTH29p82sC1VVE5M1URNUR1YmeZ4insjn5L1ijoLyqejC9s6rc1mq7c1enUI= yZxZ4iItdTqdXrffzz9z9je3Q1i7k0Lb1q1rN7Tta0TBs4lrOtW+YrptxHHNPWiY7YmYmKuznzi= vP9sY2NOi7xrp6KMzaVdvbGfNObeuZExXPUiPB/4SIjmYmZ9PyX42wdibY1b4PmvbozdPmvV8SM= mbORF2uJp6lFM09kTxPb9T1HQeineGLa1bH1jpFzNWxtQ0vJwabN6m5VTRVdo6sXOJrmJ47X6u0= +jK/oXRJquxatYt37mfF+IyosTTFHhKYj9nrdvHHpEa769m5eR0NbD0i7l3KMK/qGb4Tmrsjq3K= Ip/m8JXx9rZTbnQ/sHRM7C1LT9GqpzMOqm5avVZFyqrrR3VTHW45+516joP0/J6LsTZ+p6rNzKw= si7kY2fZs9WaJrntiaJmeae7mOY7o7YfPszoh3hoGv6Zm3ekjPzMDCvUVThzF2mi5RT/mcTcmIj= j6uAeadE2p6JpG0OkrL3Fg1ahp/hseivFprmnw1U3LvVp5ieYjrcdvoj7nXN3VafnbOu52n9EWZ= odiuKLlrVqb+RctUUzVEd9VPVmKu7v75h7hoHQZbxNu7o0XUtc8Yt65ctXbdyzj9SrHrt1VVUzx= NU9btqj0d0+l+Fe6BN23dH/kW50l5NemRTFEYlVi5NrqxMTEdXwnHETEcfYD0noAy8jN6H9u5GV= dqu3IxqrfWq7+rRcqopj7qaYj7ne3XOjPbde0Nkadty5l05dWFTXTN6mjqRX1q6qu7meP2uHYwA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAeX/Cc/djc/i7X9cupfBH/AGdzf8L/AO67b8Jz92Nz+Ltf1y6l8Ef9nc3/AA3/ALr7Vr= 7sq+v+HxL33lT9Hie5P8otS/i7v9uW3vRD+7Hb/wDA0f1NQtyf5Q6l/F3f7ctvOiGf/DHb38DR/= U9XGvsLf7+Hn4P9vc/fy7NnV1W8DIuUTxVTaqmJ9ExDVLYm6OnPe3js7d12rIjCqoi914x7fV6/= W6v7VMc/sy2r1P8AxZlf6mv+zLX34Fn/AJW7P9Zi/wBV5+bfo4fNsTpR37t3pKs7Q6RqvC05N2i= xVNy3RFdmqv8AYrpqojiqiZmOe/7uJeoba1nduT0raxpeoZej16FZornFtWL9qrJpmJp469EVda= I7Z74jzPFfhN128zp10jGwZivJoxsWzXFM9sXJvVzEfbxVT/PD7sXUcnSOnLpL1PDq6uTi6TmXb= VXHPFcRb4nj6pBsVnbk2/p+TVjZ+u6Xi3qe+3ey6KKo+2Jnl1rpG3RmfE69n7G1nQr+ZayLdFV2= 9mWvA0xPPMTVNUUxPojl4r0KdFW3977JzN0biy9QyM25lXojwd+Kf2YieapmJmapmZnnn0OmaHE= R8H/c9Md0a3iR/wCmoHs/TdvzXdv9F+3snA17Dxdx5FePVmU4tdq51qarNc11Ux2xNE1xHFUdnd= 2vS9qbq0jM2liajka7p1ybWJYqzbvjNHFquumP25ieKZmrmO3jta9dN+29Lt9C+yN1027n8qXMP= Awaq+vPV8F4tXXx1e7nmO93bL2z0d7G6FcnM1TEzq8PW8bCqy7Nq/M3L92ni5RTRM9lPbNUz9UT= 9gPXMfde2Mm/RYxtxaReu1zxTRRmW6qqp9ERE9rzLpX3duLSOmnZ+habqdzH03Pmz4zYiimYuda= 9NM8zMcx2dnZLwLeU7Mu7fjJ27s3cek3+vTVby8nIm5Zqp9Hd5+Y4mJ9DvWtZuVqO/uh/Nzb1V/= Iu4GFNy5VPNVc+GmOZnzzPpBtTAQAAAAAAAD8PfG4MbbW28rVL/wAqqinq2aP9O5P7Mf8AOfqiX= gHlU33zP/xqI+rxWz7gNmxrJ5VN9+u49ks+4eVTffruPZLPuLgbNjWTyqb79dx7JZ9w8qm+/Xce= yWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTf= fruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU336= 7j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTy= qb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm= +/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsa= yeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuH= lU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgb= NjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ= 9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfc= MDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruP= ZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2S= z7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79= dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/Xc= eyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNgIAAAAPL/hOfuxufxdr+uXSfgp52FiVbioys= zHsVXZxvBxduxTNXHheeOe/vh7zq+mafq2L4pqeFj5mP1oqm3eoiqnmO6eJfkVbE2ZMdu19In/A= ISj9Hvt6ymnTTYmO85y+dd0lVWpi9E9vhrruLok31d1LNzsTSrWXYu37lymbWVb5mmapmOyZh6F= 0e9It3auiYW3t57c1TR7WHbps282rHrm3VEeers7Pu5ek2NlbYxuZw9IsYcz3zi1VWZ/nomJc8b= dtW4mnG1LU7duqOKrdzInIoqj0cXet2fZw6XuIc+iKLsZiP0Ys6CbNc125xMvtsZeJrGj13tOy7= GTZv2qot3bdcVUzzHHfDWvTPg/9JGmzd/k3dmmYXhJia/F8zIt9bjnjnq0RzxzP873jE2dj6ZkX= M3Rb9Om5NUzM02LfVsXezs8Ja56sz/81PVn63Z8abk2om7TTTc4+VFM8xz9T51WM+z6VE1Y93h3= RZ0E39A3RZ3LurWLWpZuPc8LZs2Yqqo8J5q6q6+2qY74jiO2Inme5+3onRdnWeljc259Uv4ORpG= tY17H8Woqr8L1bnU5ir5MRHZTPdPnetJMcstNVq9nZ+1bmda2X0y6BjaZc5uV2bupRbrniJ7Jpp= 60TPHZzHHPofN0PbM1Pe/Q9uLR9Ov41i7d1excpu5E1RRPUo5qj5MTPPyo8z2SvoG6Na7lVyrRs= iaqp5n/AL7e7/xO97b0DSNt6Ta0nRMG1hYdrnq26OZ5nzzMz2zP1zMyK6HvXozydzdD2jbNuZ9j= H1DS7ONNF6Imq1VdtWptzE9kT1Ziqrt457ux1ux0R7y1Xo+z9r7t3VjZUW6sevSK7XWuU4824rp= mmrmmmZiYqpjvmY4+rt7rujU83P3nZ0rCuX7GNptrwmfNNVdEVTdpmLcxNMTz1erNXFUxEzMejs= 65rd/eutZ1i9GHrODHgZt0049FVvwXhOrz1p5+XVT16O2eI5t3PNPLtRYmr5eeq/jtDquq9EfTB= qm3adu5+9tIyNLt00UU49ddziIo46kcxa57OI879+50Sa/Xruws/wAf0zwe3MbHs5Udevm5Nu5N= UzR8ntjifPw7Bcyt5YOhYFjBwL1zxm1NNyK4u1XLHWimmOZqmaoqpmvv7qot1TERzD6NG1HdOu6= 1gWNS0vK0/CouU5VdUW6rfbFuKvBVVTPyoiq5THPEczbq7OJ7HJnGcrzo7YeiUqlKuLsAAAAJVP= CuidM27I25tmbGLd6uo5vNux1Z4qt0/wCdX90dkfXMegHlXTduyNwbknT8S51sDT5mimY7q7ndV= V/RxH2c+d5+faKACgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAADdABkAAAADgAODgAOCIiO4AAAAAfLXp2Bczac65hY9WVTTFNN6bUTXERPPEVd/D6er= T6FBMJ1Y9BFMQoKAAAAATPAOLMyLGLi3cnIuU27Vqia66qp7KaYjmZaqdIG5L26dzZGp1zVFjnq= Y1uf8AMtx3R9s98/XL0/4Qe6/A41G18K5/hL0RczJj/No76aPv75+qI9LxBYABQAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABugAyAAAAAAAAAAAAA= AAAAAAAAADG5+yANXemD94+sf62n+xS6mCgAoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//9k=3D" width=3D"793" height=3D"1121" alt= =3D"" style=3D"margin-left:-1pt; position:absolute" /><img src=3D"data= :image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEB= AQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQH/wAARCAAbAE0DASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAABwUGCAkKAgT/xAApE= AABBAMAAQQCAgIDAAAAAAAFAwQGBwECCAkREhMUABUKFiEiGCUy/8QAFwEAAwEAAAAAAAAAAAAA= AAAAAAECA//EACkRAQACAAYBAwMFAQAAAAAAAAECEQASITFBUQNxkfATImEygaHB8dH/2gAMAwE= AAhEDEQA/ALAbx6gFUHCruua3rKsFMMDvK/BjZu2mcwdmDZDW+LBBRGGRYS3M6bOyDrRuPBR8Mx= TTQatUEUk9Go5nvujzW3N/m+6DizK0o6FqbmeLnGqRiK1tedm26ftJ0HdJ4cMNZg3jZduPhxR03= 3S3cDFMvXg7ffZF4gi4TUQ1DjUFHp95X/HtX1jtGj+vMdg+QCyRAYpjTcPIbgrE/dUprRB6grn4= FnkcMMk5QE13122/asENE9d9lM6ZcD3yLdzI0R2hNAl83CT7Urt/ZDeV8go8yOCkS5trYN0fXsL= 2s8JJW8FS+6+iVIF5XN443LyCQNp+mOeGmjF21EKI75QhG5S1Va1V6/c29TGEPGOaaqynLmVVZ0= n5DeivTHcTv/oqsb6R5H7biswo6/zAR/JqzMArSmcgqO9I6I2/7l9WUpWKtt1ioVPbRcvGSCSRh= mh7190fj11yoSWJnproe4bApHmWTvI8ypSLBZX0HfVjy+ekINWmZQyfFYrBQQNjJWDmY2KcCMFp= AuLw/Yj4+Eci3pV3osWHN1mF5GZrA7Y8aNMXvGulpv1VN6i8idFo863tPapzVUrLE5OeZx2YQmO= qpxeHpS6OrRAhJ3hMoNE5HkHUc0YPfsPY5ndB78/T6q4QO8jXAnQBpKuMd1OJVcHPFklXbIKIs0= zJaNhVYyylxUkKbIimtiRArWwwuCjT9ym5PBZfs5EJqrNXSP4EIxnu/cLlWyzLw+51V+k/SieWm= 0lBlWaVWINFrrduv8XgftJJ1jV1HVv1jM7KK3NyzOZElFJjJGidg1PbVEE3koViI0xY0FdziRMl= Yo8K/RWXfJP2bwWFLhzLhtuye/Lp4Zl0nI5b0Xjk+sOi67qGaBq2dW9Zln37c8hDRWBwJogs9xk= PH1pgJfTGSKjGrs45HNXrVsGjzfcyTX0bKoZ3APKsIiPEfgmeePSS5Jp9w972bcZUnz2SeiSk4r= lmYsJhVyNlyEKIcO14pXounKlhk+SOG9m6T82a2RGLrOHCLNKQEAhXKzqy+v8AmbsOrqIlqnW4q= t57yjL+icaAa4K27X1QDKoJVgpZSOiJuEyfdyAFycQmDKMCxYWXL6CcPXbdZv8AhljnC6qN5RDk= D8/7d4bCB5IRuhtY5mmq4sdSzfbCGPuO44dSy/W4XqSOdh8fxmfK17c9h1i9sWBz2jHO0n/q7Sd= yOJuZiabG63cOXIo8qTaKtSDWEGB0ty2WH7OstyXOLWuKVTKa11T1hsYKIp6t07h6S6LuGxZ3pU= 9BVw51eKBnBFgOkCL+Uy6TpCyboJH2jlsjoOYOHzt1jZRk2dxFuvPcPOXJ9wcqZ6Fqo4968aTzm= ioPHdI5Nv0TYcBqGVR4hUhu3x12JZZy6PxCFi/t2XGSVgJEhI6JtI4D2cInd8M2xUBs4PXAHsnj= W3Fa70U7RgNGlucZbeshMwqoLJtujGIRq7o2cT8SQFbxM0fzFhRuItXxRFscWIk09ESe7RYU/pi= ZxXcdO6y+9b/5gfH4zyRjdXGX25nVMtCK8Mni67MeOM9GWI3gkxvSuevYx2vR1Rrx9XohjBGVzU= zdlHxOULKIjLWVgM2O4cS2tNMprOnZVog2zqIbuSLN07+i7R10HeLWVGpMn0u1eSo/IwY6wK9fR= z9wfJyBJk2PVXHXbvIpwYdPlWrIhugi+2bNlE2m7lRd5hHDh04VVoL6GmthjrX6E6Cv2CVXTF59= F8AN/HFzHxTVNsxa47Cswkdlw6SnbqmOYcq5YgK6r9qL1RZHjCnwiophdu9eNyWGg97dz4co+tE= 490FFnK/2nEbNUkBXc+u2cOFxFKxwestrnbGNs6qqN9t9c5xjOdc49cev4yo+SKB+mWxVbb12aG= nBi4wgebxxrRjNYqpplRpdxd8YfLn8j7Cddx9D8v29KRnOz6hO4b8kfLPUcc0dfs6pt6HdDT4jG= y01TWV2bLRQ5ursHkGc4SHJs1vcV1wOwuu31HVX51OrYRChQK+vHVP7qm2g9m3Y2/ypOIJKams7= OqOmjWTN9Cb5uTiTQtrjV2okRw4bMsLb6Jb7I667Zx8d28w0aZ7f7IMEoP8AYIleqehCRBxiSy9= D7D19bcudOl/hbn0kEsquFVFPjRSTS093tT000xrrgZxSFMYAJ3AweR2dEAm+m+mREbuO2gw3Gu= +ce/2MR81QbJ529c+uyaeu2fXP+fxhW2h13t3eKp3jVNNN6e3Zv+e8XG+VDyg2VLJXAL769GQyt= lqaIPpVyF4+4zLh01Oa2a7HOBjG8egzwPfA9vvFxzp6lHGDVPVBsu9dNhqi7h0R11hBzj5KeufJ= O9sWn1Kh5OKB4dCmE7NCrXjsvPAiiT2ewyuhDFiPFi5KvkqtI5yFxo6UZoIMmmrt2q8SwjjXeAZ= fmelz5B0XOxUiaKvVdlnhMtN58RIO1tv/AEq5ePJQs4XU29Meu6qm22fT/Ofwl0/AYzRBY6cqJE= vBS0kCpRw29ESmU7KkAyRoVI27RXD0y7T02ZyAAENMXSOiTxgUFMXzNwg5bpqajEUUFNn5898GS= K5pBKXb1pxtxg82F3r0B4843AZZG6E4fizS/GDyRQzepB7/AAamMIDNxjF9MCmG6LMkOBDZ3tKa= q3YSDdkUTsOs7FD6CsJRvd85enP3ks7b8kGLCqePUFyzPUYtHBUmMwuxGBR63PjnskGR5XUGLea= kUipQQkRWPOWaOmj79KLKOGOrhyho2VhXMaSrifN4k0mYkxJW8Fj5CLRBMtNJu6wAjxWay6xiQp= htvI/fo1fTmeTGUOdd9t91S8iJudt85X9NV2rawiNMF8yKqdJJADuXgF/+3jE6nQx/h5GTjORgX= GrlCSYV1UFnB7Mk1zrtj2uW+mdsba+7XM5IXeUvv56YX0vHd5I2c1rx/wAMSGsLvK7PHu2RUjlJ= 8PRGeHcif7fC6wikxHTAGIkYnSSwwgfOLR8WDKDpJHV2RtmzDyQquLSetUCrNg9wogi4OffK71p= 5AJHKqKWqrlR8xRhD+Yv4/ZwaSn2EqQHHY6CRj0aiTBnITEvlaz6SsyDYIEDviqQQaeON0FEwy+= uY6WHG2VsRYDCbHISqYxWNkHhIMGNTeZuG7R883Wyo4331P6OHe6WrhdFlh6s51GtllGo/Vq23y= llCqisIZSZ97J6sYk4abJiVQBJ4NlEqW1IB1iA0v9B60fmnjJ0igYDhzLLK7ZTdgZECy7HduRHM= 3KLyR00NNTDfHBczEs0Hn5pg6T7ubp3x5x+qLAZ8gcm1mn0FGjhYUQhMLNBjaGI0WQYkYrJ13TM= WSYlUGD2OSNQFsptq2ESEGq8SbPt1WrfXr/Fu67nvbvPHWd12GHj8dkX/ACIARHZhGk3Wo3LIDU= kNWar41drKrYXUySVwr/v7c4109uMemfXFvacXZ3SNbjLaMTexB7A44kg9nLbGsA0gNNvhYwG+I= DU3kmUwOVfCw4tq+0ZfAi8+g2WcpKuEtVfzZ5/FUraF1lyF0YLhAbIRiR6Ry/eIYJFiXzO8VjBm= +FflLP36yfoiknp8aSmiX+vu9nvzttkyR3ovDIRi5gpqr5r+sf/Z" width=3D"77" height= =3D"27" alt=3D"" style=3D"margin-left:441.05pt; position:absolute" /></span= ><svg font-family=3D"Times New Roman" font-size=3D"16" height=3D"41.3= 3" version=3D"1.1" width=3D"209.31" xmlns=3D"http://www.w3.org/2000/svg" st= yle=3D"width:209.31px; height:41.33px; font-family:'Times New Roman'; font-= size:16px" xmlns:xlink=3D"http://www.w3.org/1999/xlink"><defs /><g><g><path= d=3D"M0,0 L209,0 L209,0 L209,41 L209,41 L0,41 Z" fill=3D"#7c7c7c" fill-rul= e=3D"evenodd" /></g></g></svg><a href=3D"http= ://www.anatomiadigital.org/" style=3D"text-decoration:none">www.anatomiadigital.org</= a><img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABA= QEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEB= AQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCABAAHgDASIAAhEBAxEB/8QAHg= AAAgICAwEBAAAAAAAAAAAACQoGCAAHAgQFAQP/xABLEAAABgECBAMDBQoJDQAAAAABAgMEBQYHC= BEACRIhExQxFUFRCiJhtvAWJSYyNzh2d4G1FxgZGnGRsbfRIyQzNjlGR1ViZIKh4f/EABwBAAIC= AwEBAAAAAAAAAAAAAAAHAggBAwUGBP/EADwRAAIBAgQEBAMEBgsAAAAAAAECAwQRAAUSIQYHMUE= TIlFhCBRxMjOhsyQnNjeBwVJUZGZ1dpGjseHx/9oADAMBAAIRAxEAPwBw7CPMc0a6hZFpBY0zjV= V7I+VTbsqrZgkaRZJBwqIFK2jIm3M4deYcmEekEYjzxjCG5R278D855OdMxYGpOna1YayNaceTT= y+Wxs/dVyRVaJSjVvAMV0W8sxN4rCVbIrbqJN5Jq5QTOc5iEAxxEVWdORd9Q+BO4gP8NGLe/cP9= +II24fTuHr8A9++3DKfyiAvTifTaHwyDcvXv61uPH4/T9Pw4tbJypyTgbm/wDlEM8uc5ZnRrJ5a= XNYKaVVWKnqYzDIFjWKdGsH80KsCot1BFXo+ZOc8ZcruM8yqYIcrr8pahiiqMtlqISzTT0smsB3= MkTi5WyOwt5rg4i/K15qeojP2ca5p8zO3rdwQnIacfM7u2jiQtgbHg48zwEnzaP6Y1+VyKZiGUT= ZtDEExTBv3AWYUN9hEQEBHb19/b3e/YPTv+zhHDkrhtr/xv796zex3H3feBYP7OHkEu5e3bsAf1= bhwvefvDmS8Nce/J5Fl9PllJUZTR1klNTKUg+YledJHSMkrGGCL5UsoAsAMe95HZ3mue8HPU5vX= T5hUQ5lUU0dRUsHm8BIoWRGkABfSXazNdrHcnC8/O65jWTtMSlMwJgWZPVsg3mDWtNsuzVBFxK1= 6rqOl4uLjK/wCOVVJnMyztq9XXkDN1VmTRBqLMSLuvGQHFjPQdzs8v0uByQyz7kStMLjHt7BHR9= w1N3uGnjR0mkR0ydvImNeySMb5xuqRdNmsqi6RTEpV2jY4imEW555VWPMlqb6e6iwJ6biZymdbf= y4xbWUWLJiHVsTwwWSdAt07l3A3UIjuHDndJexEhUau8gjoqQ7uuwzqLO36fAPHLR7Y7IyPQIl8= MW5k+gC/NAuwB24TpPhRxlVUlwWYsobfawF/S/T39zhyYXgsdB5jmlzRLj2nTWrnFuMs6uc23ST= n8gZpzhBOo2cpD+FjRhK9G27K0TJ+ceM3rZ46NEtEUzNEVBWIoJFDl4OZjW/NKpp9xfbsxZHpAP= SY0oz255FXs8A0pczOuKzFqTNhY2QykbBOIiXkBdP49+1BsxdNF0l2qabc5ClCH8pC2/i54MEPX= +FeVAfj/AKsq/wCG3v8AfwJDmd5hlp1voQwfZ5uxR2IKlpS072mZia6mi5dO3ljp8UErMtIx29j= 2EhNtIdDycUR+8btyKCYortyrLHPhY/FEZvbWXYkADZbW32+gBte/rgw4vBaw9KNpmo2t1jUtgS= xWKZepR0RBQmXKFKy8pIODARuxjo1jPrvHrtc4gRJu2RWVUMOxCjx0n+tTSDFPn0XK6pNPMbJxj= pwxkY59mTHrN6wetFToOmjxq4sKazdw3WTOksisRNRJQhiHKUxRAFddFNg5Sc3qYwHXcV4R1bR2= Vl71X0qlabrP177nELK2OCrWSn2cZfHhfJCukKjhFpFKph1dKbcC/NDUWhTRPiTW/rf1Z0XLq1m= Sh6pK3izxpqxLJxLo0ipkZaNMVwso1dAoh4DlQQTApNlAA3V6gMTGoLXLKEXUdSi5FwNgCcGHP8= f5cxdleMVmsYZGomRYZuqKDiWo1sgbXHILgAiKCz2CkH7dFcA7iiooVQAEBEoAIDxErzqb06Yxl= fYWSM8YboU30gp7HuOTKZWpUqY+iho6YmWb0pB2EAUMgBBHsA8KUaMHspob138wPHGN52Zk6Zhf= BepScioyYcEVNNPMTsW83THcwm2TQauJBicTNlHaDZuKhV3JiJplW8MvW5V3LmofMajs3Z61IXu= 8yz1lfy15JrBy7ZlJy0++im1km5+aknbV85URFOWj2sa0b+WTIJHfiCchECJhiUaiWOhQp6HVdh= fp/HpscGD0a9M/Wy76eoe4aItXenWjybTJ7GvTuSpzLeM29IMknBupB5Uvujl07HAlsRk3kTKey= AKlKAwOm6DobqFFS0eN9Q2P8W4HwI41LahsLxl8tGLabIStwmMk0mIr+QZ8lciTWOz1CTcPIeLn= oSQklzvWkjCtiR6rV42VQSRSWTJwAzmv6M8VaIuXpB4zxEtZF67Z9UMbepA1okySr8sy9x+tX1w= RcEbtikZiyrrESodAiVUVj9Q9ewezqgtXLwiNG/LsQ1jweVbxc2el3GCtHp+I5MrKXQhpCi1Qsj= KTAup+vRyDJR02SQaGXeKOVlE1CNm5iEVOWOgMsenUwLt2BewAIJPcXPQiwv8AQgwxFTdVembIk= 2hWaDqEwldrG7EQaQFUylSLBNOukBMYW0XFTjp84ApQMYwotz9IAIm2DjOEENSV60bM7DjW3aHK= ln/Fs7W5RzIz4ZTlIlwTzbBaOeVyTrEnFWmfkmz9Bwk9TkElDN23g+VUQEVfFAc42imJAIJAP9J= bHtvsSLb+vY4MR3TkAjqGwIPwzNi367wgBwyl8oi/JRpu/WBcPqzHcLX6cvzhcC/rmxZ9d4ThlD= 5RF+SjTd+sC4fVmO4vrx9+/DlP7Q5n+VUn+eKM8FEnlFzKJ/rOU/i1Kf54FRyWPz/8bfoxe/3Av= w8ej+L9viPCOHJY/P8A8bfoxe/3Avw8ej+L9viPCH+Jr940P+X6D86qw7fh3/YWb/Gav8ilwEnn= Acsqf1tQ1RyViJ7Ess0Y6YPIb2VMrGZx13qTlU79KIGQADkj5iJkjrOYtdZPyzlF+9aulCCVmdM= QdGwlz+cWVyNoVFlsvRVUrbcsdBxre10aVZx7BEelJowdTB3jwGKZQKVq3FYEkEigRIhCbEK0Nr= U1SxOjbANpz5OVSRucXVZKsxy8BFvkIx48NZp+PgETpPHSDhEgNVZAjg5RSN1ppnIAlMIDwEv+c= m4q2N06a7127DtdoHcv9P3o393vAN/UeEBG0pXSsSyKDsWBO9xsPUdP/Bh841TqS0ocyXUvoExL= Tsu1S2ZH1B13P94nZpGalauSTaURzXY1pXlTOGa7KMO2B0L5NMhBM5A4qCqUpRIBdja5OVfn3Lu= LtIWXsJIsGudsLYJxHQLvRJR6xaOlpClV2JFs+iHy4LxrmThJZJ2wdM3KgN3SCaJ26hxBYpyLaG= +bnp71t2ZxjqGi5zG2UE2bmSYU22KtHJLBHMw6ni9fmmRSNnzlon/l3Mesg2dEb7rpFXSTWOnu+= l8w7At61bWTRfCt7qGYat7cGTO7r7ZvVRCvxKM1IC2mglVVlv8AM3CXg7xyYKKiYgiQA6uMa5UI= 8mkpdtNiPK1r376bjqO2/tgwJ7Tk/wCcK2zBiZllnTXhqHx2la4NrebfH4yxzGWBnXyrFTlJZtI= wksio0figB1fHj2JBKoYTItw7E4l3Kw0cajNP+tTVPlDLGOX1To+QWdpJUptw/i3SUqZ/kEJloC= aLJ4u4SFaO3cB46SewfNHY3zeGI/m7BuAB8AHYPt9PHUfO0GDN09WDdJo3WcqAQAMcU0EzKn6Q3= Dc3SQdg3Dcdg3D14g0hbV5UXWNLab3IBB7+pvv1Hr6GFzMJ6EM3K80vV5lTJuNHrTTzm6s54qbW= 0qSUcZvMw+RDRLBFAjZs9NJIjIRnnvDFRBMSCQOvpHpAab450Xc37l633Idd0imZXDH1skSLmft= UKVOQ862YGXThZZ/A25Hx4OwN2SnlXp41RLxyj4DhV4gi08BhTSHzDsDa3BvyeFW90A+OkY1WfC= 219tB9QS3nQagwFGUkfM92C4K9RURT+aIgO49OuNDnMmrGtnKOa8YwONJujusLAmEjKS04xlG02= ZSwysAHlEGjNso1AFIszgfFOr81YpA2MQTDMyOpa6KQFTWrXt5QNLG19yNv4gH0JgVepXB3M91g= 6CQqGfcce3s9RGptGWhYOKZ0uuATFTPHjBFvIqEh3KMWqJbTITqJlFT+eMXoIJRRTTMMH1cctXV= /NQegzM+GKYws+ScGafsGUa447mzwT8K/csXR8ZINjLRUuopB2GKUlCumMwxVVWbOCNSpGTWbuB= Nw2IHT/wBPp9H7eOJxACGEALvsO32ABHt6+nEVlZbWVLDUQBexDWuLXtbbYbfjsYSv1P6U+bjq2= jadFZO0t0WHa0l9KyESfHNao1JcruJhuybOSSizCdVF+gQjJMzdNQCgiodQ5fx9gzhhHC3MtrOY= 9bOSdFbDGU9DWDG6FwXd3dzNsnUTJhUHES3XIhGItE3SHmxlSmTFRycEwQMA9RjE4zifzEigAKi= i17WPQ9+p6j39B9DCWmnL84XAv65sWfXeE4ZQ+URfko03frAuH1ZjuFrdOe38YjAod+2aMXe8fT= 7toIQD19w9+GUPlEQgGKNN24/8Qbjvv6B+DbDbv8Ng4vvx9tzx5T+8GaH/AEiqBijHBG/KLmUP7= RlRHvZqYfQfZ9emBVclj8//ABt+jF7/AHAvw8ej+L9viPCNnJZVKXX/AI23ENvuZvRdxEADcYBc= QAN/URD0D37duHkUTBsPftuAB+wNh/8Af+PCI+JofrFhP938vH+9Vd8O74eLDgacXFxnNXt3+4p= d7YEXz0f9nBlz9KMU/wB49b4rRyYdKunDLegenWjJeEcaXizSNzyWweT9lqURKTDlo0s7xq0bqS= Tlsd4JGrcCottlgFBMpSpCUA4svz0BAeXBlzYd/wAKMU/3j1vgTnLH5uWl3SFpDreF8oNsiOLrC= Wa9zS6darSUhHKt56ecSUcmi/WkWpPHOgoQqniEImmoJgMfYBHivyqzRHQDfxFG3odN+nb1w+cU= w1JYwgtBXOApLHDxVoSnxeVMOXiuwyDhYBiq7enMOSzVVJXxDKGjB83YItokoY5gh3LZBYVRIYx= yzYX1Ky7nnRZixNI0PEMZXqw2yW9WvEbjqCYZJXbw1DZShzyN3RT9ruwU6jpvfEObzTRNNA/zSg= HAiqlbLZzSubNUMjQ1WfsKtIZKodgXiXBgcDVcTYpNDGKabeIdTdJ/LR8EZRymQ5kvb02ozaKKI= +Gfi5mNoJ1ZeejqqrbBQyT6dp+dYdkoTfqI7ksStGjcxR333BVYnfcB+nfvxskvsCbsIAGN7n7Q= tfv0/wCsGJnN83vmCapM23akaC8NxU1UKc4dmaiNYRs027gm7tRi1sNik5V+zhYdKXVRUVjmRBR= OKRiodbldNUxZ7oo5kOu/JGtpbSrqcZVCCWiK9dzW+rIU6Ij5aPmIermmWDVd6weukTJmBZuqsm= ksomqkp0CcNxAKacnHWbhjQTddS+LtTp5SiSdlkqmg3mzwUhIGaS9BcWyNl6/KotEVXrYVRm0Xr= BQUhbH8JyBzFUURFSU6Wcq0jN3O/wAm5XxvKjOUa6sslS1clTNXDIXrEmNmTIyotXaaThHZw0WJ= 0qplMIFA22whxh1ADqIwUWO6vpNySQCSdWm29hcdevrgxsHQBqg1X5TwNrAk9MuIcJx+cKoviUl= RiMfY0ptKbzTCUtzltazzgKO4mOkzMK0nJrsReuyGbqgczYDuDlIeg3LjunMKrWa88PNIVFiLVe= 5R0xLmxlIt6msjDomtkuqYzQs9NxbYghMnlUvvcq6ECJl3AE+g5iRfJwigdfVwAk6hFnRugNtxE= xl7OBen6REQAPiPFfOU9quwjpJ1c6xEc+2c9ESusu/g4N28jJB23PNQWR7Ao8jXPkm7hRq5MnIJ= nR8VICHBJcPEAxAAZXA8ZQgYgIVBFzuApBtuQL3A7YMFn1fZR5x1cy+ox0tYsq9jxQFNpLgkpJt= MeqLjbHNfaq3Br1zlqjX4ptJ0XaKQC28ApCAVBRVIAUNWHTnzT9cOP9ZeOdKmu7HFbg18qTNerU= crFxcZFzEFI3JweLqUs2dQMnKwk3DSE6KEU+KRfxWoqqqguVVmq1VH3rmzRas48yTJuN8x6qblp= vwpV3hIynT0ZHWSWh4OuI1yPlIBw2qUJOV8Xji4C89qrybp4Q/U+A5lRbkbt0q21KrY5qfMa0bx= +MdTUpqpglc3YCcOMgy9amKs5jpA2VokitcKwm7HZnSyTRIiLsrkj5NMReGICBRA5zYjiuoDBSW= j1XCuLGwt5tZsfw6i2DBU9Cu/8vJqk3/5fmz95U/7d/fv7tuM4+6GNv5ebVKP/YZt2/o9p1D3en= GcaJDcr6iOMG2wuEW9sGBpYs0D656LkzHF8eaUMwPGFLvlRtr1mhAJpOXbSt2COmHDZuC7ggFXX= RZHSRE4ATxDlER2AdmC9U5sba46xTK1qI0n698fJ0qVkJmIc0zGHtZJB7JMUWDoz9zFt7CLhuVF= Eopppx6JurqMJzAPQJ0hSD+r3AAAI/R6/YeOIpFENugf/Lo/tARH/wCb8N3ijnHnPFea5Znlbl1= JQZrk0c0eW1uT1VfRT04mILkM89SrG11BMdwD3ucKHh/lJl/DeX5jlNJmdRWZbmxjbMKPMqSkqo= ZjDbQSAkLLY7kBhe3tbCmbzlm6ZICQb23FGq3O+ni2wygPYmTzPiy9Y2CGdJ7GKuN0f1+mtmgk3= ADKtnwhsHSIiUQASXYDzFrrxVENRvDnHWu/ELECNS5RwDYoB7k9m2TANlJGvNl2kVbFmzfpMcjJ= wFge7F6vPOVDKGM0Zqmf8ZMghsIbGABDv29PX7DxAZbEmOpp4Mm/pdeNL9+mbax6EfOpCIiImbz= seVtLtjbiIgZB4mbuO4iAiHHCzfmPmvEUApuI40z2JV0Qy5nFTVFbTKbH9HzGnp6KvjIO+8roCL= tG+4PVyzl3R5FP8xkE7ZPIzBpFy96mCkmIt9/l801TSSe5EavpBQOuNJzUZp0104imaLcoxO+UF= /JxadyocyrY6jYoOfhHzSZYxVsiG7qBtVbmY56i0cmYPDNDLkBM4A5ZLkMpXUOTVy2RLuGmeHAR= D1C+ZUEP2fhz33D4DxfVxjGtHkGM40ZHj7JGtiMW1jZrqJzSrFMBAjCTfCoZWZjy9ZzFZyxnqJF= TC6SIm7Aq4bDbJnSRIRQ3UcoABjdvnCAAHVsAiAb7b7B2DhfyNHrPy5njjO4jdtRTcWHiABX26E= KDYWYXvdhU4qBGFqDG0igAvGNKvt1CG5T3FyB2NulesDaStOumGLfROB8UVTHKEooVSUeRDRd1O= Sok/wBGSUscs5kJ+RRR3EUG7uSVQbiJhRSTExt49X9Fumyn55m9Udfxo1YZ1nxkxmL0WetS7l8E= 0wSiZLxId1PL11PzDBJNA3gRCQplTAyQpnExhtbxxOQpyiUwblH1Dfb37+of0cQ3PU3Pcnuff/m= 303xvwn7rI138ve458yHGZo5fCl/u9MtEzU5O7RNrc097Y1IR6qx8/JL1R5CLyp1SolBFWXO8dI= oETRKqUhALx5fJzwfIZd13XPUxjnDExiTTPAxtyY1qLeqzj6HZlsTBODY1SJssyou5sMg2Q8w/m= FW79yZmdQwHVRKq3TM4Z7PY+vlG+/vMKKQmH6TGEgiI/SI7/Hj9U2yKQbJplIHoAFAAAod+xQAN= gDv6AHGwTeRkCOLjTqZy1tgCVW4ABttsff2MVVwHo40z6RRtshgjHLDHJbcmzPbFkp+zyyUilFe= ZWaqLGs89MJsyNAcuT9bXy4bGEVBMUpQLWaX0K8s/U3Y5/Ni2Kce3mck3hp2ftlatNshmMg6A6x= wnlkKxZYiIeFfHauFgmkmijeVFBdUHToE1Tcbk5gd5tVKwI5a1xNFnHX+21PGF8uDpBVwxxzjm+= yBoG43x6VIB8JCGinKiJXqweUjV3yMk82atVR4qVF6Vst2XGNHr2LbvArwUbjqXo03YFLvYWas+= RqlCN8cJs5+uVZilaKtRK/N5JjGqZGsczkbBKxk45JJJomI37NDlUMtJDW1leKMVVY1PEWJZFhp= 40aaWQrYK4Z0WNCVYh1YAi2PNZhnVXT5hLRUVC1YYKRJ5lRtMjTTMwgRL21IFjZpGFwLFW3AGJN= kjHnKh1bWOiushtcL367uIc9erihLdKVy6DD15mgqjE2E9fnoKbN5Fk4R9lNbaJnHhOSJxgH8YS= qTarcsPlv4tvuPLbXMJ1er32JtEbY8ePVch5AO/PaqounY2DmKjpO7LtpVzFHjySajYzR2h4Dc5= 3KJ2wKBxp7HGhLUhUp+su395qETHRSIQhT1SZm0X0PX5Z3MWqxhDmVr7TrO6uL2HQVYnVZoyFaq= tZj1XKBWL5N/JX2jLU40vMxIVrJMXH0FzeHUm2qje5WyHUUqcvOwqtlaM1GcK7Rq0tZIphKvZBe= C6fKSNhm0IxVDx2btn91RlWS/MNHSZ9GsCxM+uoZ3Mj6iEjBSFQraSjEHULA2YY+GlzriL5dZKr= IJnlMoXw4CqGNAqkufEma4PmBK2IY9CL4svUNNukLGWquSyRUaMxhtTWSatcrZK2FCZuL97MVg0= vW420yLmPczDyrRyLiVkYJuQCx7NVZQVQjyCRB4Jc483SHpzyvieZtFwzNaYu2WybhYuvMHTGbn= bIEdDNnjybWiW0jY2TV+2YN5uUkPKtymWFy0KzO9VOs0RBPOOBXQQU1QYaepWsREQNUpq0SyFbu= U1ANpBOkXHUEjYjHosuqKyqpxPU0zUbyO+imk0+JFGraUEmkkFiAWJBsVItvj/2Q=3D=3D" wid= th=3D"120" height=3D"64" alt=3D"" style=3D"margin-left:417.75pt; position:a= bsolute" />ISSN:</spa= n> <= /span>2697= -3391Vol. 8 No.<= /span> 2.1, <span= class=3D"awspan" style=3D"color:#ffffff">pp. 19 =E2=80=93 33, abril<= span class=3D"awspan" style=3D"letter-spacing:-0.2pt; color:#ffffff"> </spa= n>- mayo 2025 Revista en ciencias m=C3=A9dicas, salud p=C3=BAblic= a Art=C3=ADculo de revisi=C3=B3n bibliogr=C3=A1fica.18.Suligavi SS, Saiyad </sp= an>SN, Doddamani S= S, <spa= n class=3D"awspan">Mathri A. Early<s= pan class=3D"awspan" style=3D"letter-spacing:0.3pt"> Diagnosis of Hidden Hearing<= span class=3D"awspan" style=3D"letter-spacing:5.25pt"> Loss Following Temporal</span= > Bone Fractures. Indian= Journal of Otolaryngology and= <span= class=3D"awspan">Head & Neck= Surgery [Internet]. 2022</sp= an> [cited 2025 March <= span class=3D"awspan" style=3D"letter-spacing:-0.2pt">22];74(Suppl3):4336=E2=80=934340.Availablefrom: <a hr= ef=3D"https://doi.org/10.1007/s12070-021-02933-x" style=3D"text-decoration:= none"></a><a href=3D"https://doi.org/10.1007/s12070-= 021-02933-x" style=3D"text-decoration:none">https://doi.org/10.1007/= s12070-021-02933-x</a>= 19.Deshmukh KA, Fatima U, Siddiqui A, Tegnoor MS. Evaluation and Outcomes o= f Hearing Loss in Temporal Bone Fractures: A Prospective Study. Coreus [Int= ernet]. 2023 [cited 2025 March 22]; 15(10): e46331. Available from: <= /span><a href=3D"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618031/" st= yle=3D"text-decoration:none"></a><a href=3D"https://= www.ncbi.nlm.nih.gov/pmc/articles/PMC10618031/" style=3D"text-decoration:no= ne">https://www.= ncbi.nlm.nih.gov/pmc/articles/PMC10618031/</a>Esta revista </span= >est=C3= =A1 protegida bajo una licencia Creative<span= class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spacing= :-0.2pt"> Commons en la 4.0 International. Copia de la licencia:<span= class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spacing= :2pt"> <a href=3D"http://creativecommons.org/licenses/by-nc-sa/4.0/"= style=3D"text-decoration:none"></a><a href=3D"http://creativecommons.org/licenses/by-nc-sa/4.0/" style= =3D"text-decoration:none">http://creat= ivecommons.org/licenses/by-nc-sa/4.0/</a>D </sp= an>i a</spa= n> g n =C3=B3 s <= span class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#= ffffff">t i<sp= an class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-sp= acing:0.45pt; color:#ffffff"> c o = M = =C3=A9 d i = c oP </spa= n>=C3=A1 g<= /span> i n a 32 | </span= >33<img src=3D= "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAUDBAQEAwUEBAQFBQU= GBwwIBwcHBw8LCwkMEQ8SEhEPERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQ= UFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eH= h4eHh4eHh7/wAARCARhAxkDASIAAhEBAxEB/8QAHAABAQACAwEBAAAAAAAAAAAAAAECCAMGBwQF= /8QAWBABAAEDAwAECAsDBgsGAwkAAAECAwQFBhEHEiExExQXQVFVlNIIFiJUVmFxgZKT0TI3dBW= RobGysyM1NkJSc3WChMHTGCQnM6LDJWJyJkNFRmOjwuHw/8QAGwEBAQEBAQEBAQAAAAAAAAAAAA= ECAwQFBgf/xAA1EQEAAQMCBQMBBgUEAwAAAAAAAQIDEQRSBRMUMZESIUFxMzVRYYHwFSJCodEGI= zKxNMHh/9oADAMBAAIRAxEAPwDpoD+lPxQANEosoAAECSqSLKAKgAkkJPeE94pIACT3Is9yAABA= kqkiysBAIkosoKkrHckrHcqACCSEiwACglXmVKvMCEhIIAKAJJAAQsJKLKKSACD9HDteCt8z+1V= 2y+XCtde51qo+TT/W/RYmWK5+BjPeyYz3sswANKAAJKpIAAADIAKgAqsZCQPgAlCEqnsYkiNQko= soKMZ7e1ap8zGGKpy1TAksuWNTDeQFpjsIgmQWYRqUhJ7wnvAAASUVBRJUnu5QYVT5mE9yzPM8p= Pc5z7ukIkwqpgliLKfZ2osLTT1qo9Dk+5KY6sfWy5daacQ5VVe76AHocAAaJRZQAAIElUkhZQBU= B9uBpebm4OdnY9masbAt03Mi5PZFMVVRTTH2zM931T6Hb+jros17fGi3tV0vO02xZs5E4805Fdc= VTVFNNUzHVpmOPlR/S897VWrNM1VziOzrbs13JxTDoU96PY5+DxvD1tof5t3/AKZ/2eN3+ttD/N= u/9N5f4tpN7t0N/a8cOXreV8H/AHxZpmbWTo2R6KaMiuJn8VEQ6JuzZe59rXONc0jIxrfPEXojr= 2pnzcV08xz9XPLva12nvTiiuJlzr0123GaqXX57kWe5HrcAAIElUkVYAESUWU5gWElY7klY7lQA= QSQkWAAUEq8ypV5gQkJBABQBJIACFhJRZRSRaYmqqKYjmZ7kfZgWv/vao+qlJnDMziH02aIt24p= jzd7MHNyGM97JjPeLAA0oAAkqkgAAAMgAqACqxkJA+BJWUSSElJhkiNMZRlLCe/hJnCwkx28oyY= zDm3EiSqSKR3s0pjiFVBOFFGEwMp704BAQCUVEX4GFc89jKZ4hxpVKwhCjnhtAEBaKeZ59COWmO= IappzOSZSUZVMeJdXPD6QHVxABolFlAAAgSVSSFlHPp2HlajqGPgYVmq/k5FyLdq3T31VTPEQ4G= xXwZ9gzh4kby1SzHh8imY0+irvotz2Tc+qau6Pq+15Nfq6dLamue/wAO+msTfuRTD6N57OxdlfB= 71LTbc03MqvwNzLvRH/mXJuUc9v8Aox3R/wD3L7fgm/u6zv8Aa1z+6tP3/hDTHkk1iP8AVf3tL8= D4Jv7us7/a1z+6tPy1Vyq5oaqqu81f+n26aIo1VNMfg9T1vVcDRdMvanqeTTjYlmIm5dqiZinmY= iO765h1WOljo9nj/wC02L+Cv3XF0/8A7pNc/wBXb/vaGnTpwzhlGstzVVMxiWdbra7FcU0w3m0D= dm29fqmjR9bwc2umOardq9E1xHpmnv4+5+nnYuNnYl3GzLFvIx7tM03LdymKqao9ExPe0MxMnIw= 8q3lYl65Yv2qoqt3LdXVqpmO6Yluf0S7hvbo6P9L1fJqpqyq7c28iYjjm5RVNMzx5ueOfvcuI8M= nR4rpnMNaTWRqM01R7tcOnfYNGy9ft39Opq/kjP5qsRM8zarj9qiZ9HbEx9U/VMvN23PwktMtZ/= RVnXqrcVXMK7ayLc+emetFM/wDpqlqfpUzTqeLNNm1fmL1HFu9zNFfyo7KuO3ifPw/QcJ1VV/TZ= q7x7Pl66zFu9iO0vedP6O8Kvoyo29XoVVWu5GlVanGp+Kz1aLvXiqjH8Jx2VdXsmOfNM+d0jb3R= xo2dtjb+rapum9p97XMivGxrNOnzdiLkXJoiJqiuO/iPNHe9Kubc6b691U6/Tq2k0RExP8n05t6= MTiKerx4P0T39/f2vl1HY3ShmWtIteKbUsW9J1CvPxrdm7dinwlVybk0zz/m8zMREcdnnfJt6qu= jMc2Pec9/r7f9PbVYpn+ifb2dH0Dojrz8/VsHLz9Qt3NPz6sTwuPp/hbVcRETFXWmunie3mae3j= sfp6T0c7Z0zTd9YW48+u5l6NNiLeXasVT4CiunrU3IoiviqaueJpnu6vf2ubeWsdJG0IzLm5Ns6= Jm6fnZ3jkVXLNV6xavcRT8maa4mn7Kvr4878nae6N+7n3BuTU9I21pesRqduxTqWHctc2OKKerb= mIqrie6mrzz5/q49M16u7RNfrj0+3aY/JyxZomKfT7vjwejrQ6NO0S/rW6b2De1+5VTptu3gzcj= q9aIoruT1o463NPZ5ut9U8fTp3RRh0xkU63uSvBu29bjR7UWcKbsXblUUzRVz1o4iet9z5r2+Nz= 7UvWdC1vbeiXcrSrs3cOnMx+vXhTX8uIommrjiOYmO/js9Ecfi0dIm4PFqbV+nEya41mjWartyi= etXfpiOIniYjqdndERPomHoijX1xmmr2+sf2/RxmrTU94di3H0V4Gn2cy5p25pz69O1CxhZ1m5g= zamibtVMRMT1pir9qP1fqal0c0a/u/WsOa68K1pVy3i0fyZpEeBqiaIq5nm5z1uZ7eZqn6+50zL= 6SNcyKtXm5i6fH8rZtnMv8AFuv5NdqYmmKfldkT1Y555+52La28d87o1DW7OnbY0fXIzr1Gbk4l= 6zM27VcUxRFVPNcT3RHfM/c5XLeuop9VVXb5zHzhuivTVTiI7uldI21ruzt15GhXcujL8FTRXRe= po6nWpqjmPk8zxP3y69Hc7V0sZu4s/eV+/ujTLGnal4K3TVYsxxTTTFPyZ/aq831v1dS6JN1afs= +rdF+5p04NONTkzFN6qa+pVETHZ1e/tjzvqWtTTRao51UZn+7x12Zqrq9Ee0OgAPY86SEuy9H+y= dY3vn5OFo1eLTdx7UXa/D3Jpjjnjs4iWLl2i1TNVc4iG6KKq5imnu60P2d6ba1HaWv3dF1WbE5N= qimqqbNc1U8VRzHbMR6X4zVFdNymKqZzEs1UzTOJEq8ypV5m0QkJBABQBJIACFhJRZRRnZom7ci= iPv8AsfqUxFNMUx2RHY4cK14O11pj5VTnYqlyqnMgDLIxnvZMZ7xYAGlAAElUkAAABkAFQAVWMh= JIfCSIqSsAIglUsOGVU9qcszLpEIKkwipwcKSQSACZABUnvRZ70CA4AVEmGTGqeIQYVT2sPOySY= YlqEARUAjtngwZZW457XIkRxHBzx3ukRhMkosoqPoAdXAAGiUWUAACBJV9eiaXm61q+LpWnWpu5= WTci3bpj0z559ER2zM+aIZqqimJqntDURMziHcOhLYte9N00+M0VRpOFMXMuru6/+jbifTV/VE/= U2+tWrdm1TatUxRboiKaaaY4imI7oh1/o72rh7P2xjaNh/Kmj5d+757tyf2qv+UeiIiHYrlNU0T= FM8Tx2TL8NxHWzqr2fiOz9NpNPFi3j5+XgXwot60xTRsvAuc1VdW9n1R5o76Lf/wDKf93637/wT= v3dZ/8Ata5/dWnUel3oks6Lt/Vt3X9w5efmeEi7cpuWaaYrqrriJ7Yns/adu+Cb+7rP/wBrXP7q= 09t+bP8ADoi1Off3+rzWuZ1ea/wdl6f/AN0euf8A0W/72hpy3F6f/wB0muR/8lv+9oadPof6f+x= q+rycV+0j6Daj4LMV+TOvr89X+ULvU+zq0f8APlq/p+Hl6jm2sLAx7uTk3qurbtW6Zqqqn7Ibo9= Fm3Lm1th6Zo1+KPGLVua780zzHhKqpqq7fPxM8c/Ucfu08mKPnJwqieZNXw+bpr6kdFm4ev3eKT= x9vMcf08NN9I/xrh/6+j+1Da34Smq2sDoszMeqvi7nXbdi3T56vlRXP9FMtUtI/xrh/6+j+1DHA= 6ZjTVz++zXEpib9MN1OkvW8vbexdT1vAptV5OLaiq3F2JmiZmqI7YiY9PpeCYPwhN228u3Xmabp= F/HiqPCUUW66Kpjz8VdaeJ+viXtHTt+6XX4//AEKf7dLTXlw4No7OotVTcpz7uuv1Fy1ciKJbx4= 1ek732Xbu1Wqb+nariczRVxPEVR2xPoqpn+aYeC9COl720ncm6tJ2xe0SL+Feox8urUKbkxV1a7= kUzR1Psq7/qeudAGNkYnRHodvJoqorqouXaaZ/0a7tdVM/fExP3ut9C1dFzpV6SKqOOPHqI++K7= 0T/S8NqqbVF63T7xH+Xprp9dVuqe/wD8eI9MFjX73SZnY+s04l/V7k2aaqcCmubdUzbp6sUxV28= 8cfe7BonQPvjUcSnIvzpunTV3Wsm9V1+PTMUU1RH8/L0fRNLx874UOu5d+iK5wMK3dtRPmrm3bp= if5pqfJ8InpF3HtjXMLRNAyacPrY0ZF69FumqqrmqqIpjrRMRHyZ83n/n+nTrtRXy9PYxE4h4p0= 1qn1XbucZdSn4PG8PWuh/m3f+mw6GdG3noe/twaNt6/ok5+Ha8Fk15nhJtVRFcfsdWOe/08PSfg= 37p17dOjatf13UK825YyKKLc1UU09WJp54+TEPzeiT9/e/Ptq/vIcLur1E03bV6Yn0x+H5w60WL= UTRXbzGXQt3bN3fvbpfztH1HK0W3q9vBoyLldqblNiaIiiIiOYmrn5Uebh7zuHbObqPRZc2pZvY= 9OZVp1vFi5XM+D61NNMTPMRzx2eh4T066/rG3OmnUM/RM65hZNWHZtTXRETM0zTTMx2x6Yj+Z7V= urV9SxOhS5rePmXLeoxpVq9F+IiauvNNMzV6O+ZcdVzposTGMe2Pq3Y9EVXInv8tcd49GGubW1n= RtLz83Trt7V73gbFVmuuaaautTTzVzTHZzVHdy7THweN4T/+LaH+bd/6bote4t57x3BpVq5n5Oo= 6nZvx4hHVp5ormYnmOIjz0xPb2dj3HE2f0212KK8jf+HYuT30RHW6v1c+DfT1Wo1Onppiq5TE/P= 7w8di1ZuzMxRMw803J0Gb20fTq8614hqdNuOa7eJdqm5EeeYiqmOfsjmfqfvfBE/ys1r+Bp/tw9= v6PdO3XpmlXsXdusY2rZHhetZvWqJpmKOI+TV2R5+f53mvQvYtY3TnvqxZoii3TVc4pjujm7y8F= XELmo0923cmJx8x9XqjS0WrtFdPtl5v8Jj97Wd/D2P7EPNHpfwmP3s538PY/sQ80foeG/wDi2/o= +Vq/tqvqJV5lSrzPc86EhIIAKAJJAAQsJLmwrPhLvWq/Zp73DxM1RER2y/Ux7cWrUU+fzkzhmqc= OSUWUc3IAAYz3smM94sADSgACSqSAAAAyACoAKrGSe4knuRWKopCQMap4VjPektQhMAy2ncvIiC= 8dqSpKiAAAIMZ7xZ70FiQAUcVc81M654jhxyzKgDOCEk4UGssWVuOO1IjmeHJDVMM1SANJCTCLK= A+gB1cQAaJRZQAAIGy/wbtgxo+lRunVLURqGbb/7tTVzzasz5+PTV3/Zx6Za36bk04efYy6sazk= xarivwN6Jmivjt4q4mJmPveqf9oHedNMU0adoNMRHZxj3ez/9x8rilrU36OXZj2nu92juWrVXru= Nit367iba25m61mz/gsW1NXHnrq7qaY+uZ4j72ts9Pe+pqmYp0uI57I8WmeP8A1PwukDpQ3JvXT= LOm6pRg2Ma1d8L1cW3XR16oiYjrc1TzEcy6O8/D+D00UTOopiZddVxCqur/AGpxDv8Au3pc3Zub= QcjRdSjA8VyOr1/B2Jpq7KoqjiefTEPYPgm/u7z/APatz+6stYHfOjzpS1/ZGi3dK0rD02/Zu5F= WRVVkW65q600008fJqiOOKY8ztr+HxVp+Xp6Yj3y56XVYveu7Pw251XTsHVcC7gali2srFu8eEt= XaYqpq4nmOY+2Idfjo62LHExtTSPvxqXhX/aF3l6r0L8m7/wBRJ+ELvH1ZoX5N3/qPiUcJ11PtT= 7fq+lVr9NV3/wCmxmj7f0LR5qnStIwcGqqOKqrFimiZj0TMQ+nU8/D0zAu5ufk2sbGs09a5cu1R= FNMfa1e1Hp731lWposRpWFP+lYxpmr/11VR/Q6JubdW4ty3Yua5q+Vm9Xtporq4opn6qY4iP5nW= 3wLUXKs3Zx/dividqmP5Idn6cN/fHbcNNOF16dJweaMaKo4m5M/tXJ+3iOI80fXMujaR/jXD/AN= fR/ah889yUzNNUTTMxMTzEv01rT02bXKo7PjV3ZuXPXU3t3TomHuPQMrRc+q5GLlURTcm1VxVxE= xPZPb6Hn2J0DbEsZNu7XGpZFNE8zbuZPyavqniIn+lrHGu63651H2mv9Sdd1uY4nWNQ4/ia/wBX= w7fBtTaiaaLuIn6vpVcQs1zmqjLb/pF3pomw9uVVVXLEZFNnweFhUTHWrmI4piI81MdnM+aPuh5= f8EnIu5Oqbqyci5VcvXfF67ldU9tVUzdmZn75eBXbly7XNy7cruVz31VTzLlw87NwpqnDzMjH6/= HW8Fdmjnju547/ADvRRwaKNPVbir+ar5c6tfM3YrmPaPh7vqu7MXaPwmdTzNQueDwcqzaxr9fHM= URVbtzFX3TTHP1TLvnST0caH0kU4eqWtUnHyLdrqWsnH6t23ctzPMcxz2988TE+fztWtAxLu491= abp2XmXfCZ+Vax6r9czXVT1qop57Z7eOe76nvWJ0A3sSmacTfWfj0z5reP1f6rjx6yxb0tVExc9= NcR+Dvp7tV6mqPRmmZd66Jdg29g6fm4lvU69Q8bu03Jqqs+D6vEcccczy6Z0Sfv6359tX95DuWz= 9DwujXbOdd1jct/Ntzcm9cycuvq9WIp4iimJmfRPd2zMtUtzbiydR3dq2t6ffycOM7KuXaYouTT= V1JqmaYnifRw4aPT16uq7HqzmO/6uuou02Io9u3w7d8Jqf/ABZzf4ez/Yh77oWPg726GcLTreX1= LWbpdvHruW+KptVxTETHHpiqO76mnWVkZGVem9k37t+5PfXcrmqr+eXLhZ2dhRPieZkY/Pf4K7V= Tz/NL69/hdVyxboirFVLwWtbFFyqqY9qntej7PwuiXpT21k6rrlrLx87w9vw04/gqbNXU6tMz8q= rvmqI57OHq/SVtHWt114VzRt45uhU2KaorpsRM03eeOJnq1U9scT6e/wA3n09zc7NzerOZmZGTN= HPV8Lcmvjn0cy5cfV9Wx7cWrGp5tq3T3U0ZFVMR90S5XuF3rlVNya/5o/JujW26ImmKfafzbj9G= e1tX2thZljV9z5OvV37kV27l+Kom3ERxxHWqqdB6If39b8/+qv8AvYa8TruueudR9qr/AFcFnUd= QsZFzIs5+VbvXf/MuUXqoqq+2YnmWKODXMV+quM1R+DVXEKc04p7PQvhMfvazv4ex/Yh5o5MnJy= Mq9N7Kv3b92Y4mu5XNVU/fLjfa0tmbFmm3M5w+deucy5NX4iVeZUq8z0OaEhIIAKAJJADK1RNy5= FEechX0YFrmrwtUdkdz7UopimmKYjiIZMTOXGZzKSiyiIAAMZ72TGe8WABpQABJVJAAAAZABUAS= VVCQkVioiJCVSxWe1GZagFRFyEKiqEgggvCSNZABMJPeiygAJVJKsKu2eUZJLm2nCKAgcLTHM/U= BTHHayU4dGEAFhJRZQR9ADo5AA0SiygAAQJKpJCygCoAEkJPeE94EiKAk9yLPcgAAQJPcqSKytV= 127lNy3XVRXTMTTVTPExMeeJfb/LOr+tc72iv9XwwMzRTV3giqY7ObMzMvLmmcrKv3+r3eFuTVx= /O+dZRYpiOyzMz3SVjuSVjuaZAEEkJFgkAUEq8ypV5gQkJBABQBJIR+hhWupb69UfKq/oh8uJa8= Ld7f2Y7ZfpMzLFU/CgMsJKLKAAAMZ72TGe8WABpQABJVJAAAAZABUEmFFViSSSCMap8ysZ70lYQ= BGl8yLPciILxKMlViMphEVAAJRU4RYE4UBjPYwZ1T5mPDMtQgJwirwxXkMCM6Y4hKI5llMLTBKc= qxOWmMrKEgpKcKCOYc3imX82ufhk8Uy/m9z8Ms9Ra3R5OTc2y4RzeKZXze5+E8Uyvm9z8J1FrdH= lrk3NsuGUc84mV82ufhTxPK+bXPwnUWt0eU5NzbLhHN4nlfNrn4TxPK+bXPwnUWt0eVizc2y4Ul= z+J5Xza5+FJw8v5td/CRqLW6PK8m5tlwDn8Ty/m1z8MniWX82u/hleotbo8pybm1wDn8Ty/m138= MnieX83u/hlOotbo8kWbm2Xzz3jmnCy/m138MnieX82u/hleotbo8nJubZcI5vE8v5td/DJ4nl/= Nrv4ZOotbo8nJubXBPcjnnDy/m138MniWX82u/gk6i1ujycm5tlwDn8Syvm138EniWX82u/gk6i= 1ujyRZubXAkvo8Syvm138EpOFl/Nrv4JOotbo8rybm1wwOfxLK+bXfwSeJZXza7+CTqLW6PKcm5= tl88o+icLL+bXfwSeJZfza7+CTqLW6PK8m5tfNKx3ObxLL+a3fwSsYWX82u/gleptbo8pybm1wD= 6PEsv5td/BKeJZfza7+GU6m1ujycm5tl88jnnCzPm178EniWZ81vfglY1NrdHlZs3NsuAc/iWX8= 2vfhk8Sy/m178Er1FndHlOTc2y4EnzPo8Sy/m178Ek4OZ82vfgk6izujycm5tl8w+jxHM+bXvwS= Tg5nza9+CTqLW6PJybm2XzD6PEcz5re/BKeI5nzW9+CTqLO6PK8m5tl869szxEczL9vTNobq1PG= 8Z07buqZdjrTT4S1jV1U8x3xzEP0sLo+3rFc117U1mOO7nDr/RidXYj+uPJybmP+Mvxce1Fq3FP= n88uV2H4i70+iuseyV/ovxE3p9FtY9kr/AEY6uxvjy5ci7tl10di+Iu9PotrHslf6HxE3p9FtY9= kr/ROrsb48nIu7ZdclHY52JvT6Lax7JX+ifETen0V1j2Sv9Dq7G+PJyLu2XXR2L4ib0+iuseyV/= ofETen0V1j2Sv8AQ6uxvjyci5tl11j53ZfiJvT6K6z7JX+jH4h71+ius+yV/odXY3x5WLFzbLrg= 7H8RN6/RXWfZK/0PiJvX6K6z7JX+jXV2N8eV5FzbLrg7H8RN6/RXWfZK/wBD4ib1+ius+yV/onV= 2N8eTkXNsuuI7J8RN6/RXWfZK/wBE+Ie9forrPslf6L1djfHk5FzbLrg7H8Q96/RXWfY6/wBD4h= 71+ius+x1/onV2N8eTkXNsuuJy7J8Q96/RXWfY6/0PiHvX6K6z7HX+h1djfHk5FzbLrg7H8Q96/= RXWfY6/0PiHvX6K6z7HX+h1djfHlORc2y64Ox/EPev0V1n2Ov8AQ+Ie9forrPslf6L1djfHk5Fz= bLrQ7J8Q96/RXWfY6/0Sdh71+ius+yV/onV2N8eWuRc2y61PenDsnxD3r9FdY9kr/Q+Ie9forrH= slf6HV2N8eTkXNsutTHZ2I7N8Qt6fRXWPZK/0Sdh71+iuseyV/odVY3x5Xk3Nsut98I7J8Q96/R= XWfZK/0T4hb1+ius+yV/odVY3x5OTc2y64yh2H4hb1+ius+yV/ofEPev0V1j2Sv9DqrG+PJybm2= XXkl2P4ib0+iuseyV/oTsTen0V1j2Sv9DqrG+PJybm2XWx2P4h70+ius+yV/ofEPekf/lbWPZK/= 0Oqs748rybm2XXB2L4ib0+i2seyV/ofETen0V1j2Sv8AROqs748rFq5tl1ye9JniHZJ2JvT6K6x= 7JX+jjq2PvLnj4r6v7JX+h1VndHleTc2y66OwfEfeP0Y1f2Sv9D4j7x+jGr+yV/ox1FrdHleTc2= y6+xdi+JG8foxq/slf6J8R94/RjV/ZK/0Ootbo8nKubXXk4dh+JG8foxq/slf6M6NibzqjrRtbV= 5j+Er/Q6i1ujycq5tl1+I4jgl2P4ib0+i2seyV/ok7E3p9FtY9kr/RrqbO6PJyrm2XW+xOHZPiJ= vX6K6x7JX+h8RN6fRXWPZK/0XqbO6PKcm5tl1yCYdj+Im9PorrHslf6HxE3p9FtY9kr/AEOps7o= 8nJubZdbHY6tib0+iuseyV/onxF3p9FdY9kr/AEOps7o8pybm2X6PAD8C/WgAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAD79v6Vla5rWLpOHTzfybkUUzPdTHnqn6ojmZ+x8D3n4P20/ENKr3H= m25jJzKerjxPfTa/wBL7ap/oiPSg9G25pGJoeiYulYVHVs49EUx6ap89U/XM8z979EiOBAAAAAA= AAAAAAAAAAAAAAAAAAAcVc8yzrniOzvcYJwjIBiLwgJMCgIkxyvADHjhO9mkwDHhGRwDDgZcJPc= DivVdSjmO/wAz4/O5r1XXrmfNHZDjmBWExDGaWcwA4+IThyTDGY4US3RNdcUx53300xTEUxHEQ4= 8S31aetMdsudFYpLLhBEJXhBMJwjJOBUlOIZSgNRAGkAAAAAADl+1tbFx9Qp1PT68eLmVcw6rmH= VH7VNy3MVzEfbRFcfbw7PG29OqysKIxaJtaPdm1rU01TPhOra8NVM+jmabtv/dp88g8+OXctH0z= S8/B03WrmNTRj4l3I/lK1RMxE00R4W3H1daJ8H/ux5zWNP0rS8bUNWoxaLuPlZdidNtXJnjwVVM= Xq/t4iaKJ+2QdNHoVe2NPs39QsXMejjVbtVGi1TVPyafBeGpmPTz17VH31eh1nc2HaxKMLDx8Oq= i9i4VurOucT23bny+30cRVRT9sA/Dct+xXZtWrlVdqqLtPWpii7TVMRzMcVRE80z2d08T53bNcr= 0jQ8qNCo23j5seL26qsu7cuReu1V24q69E01dWKYmeyOrPZHa59O0HTM7L2xau0UWreRpt7JyO2= qJvVW670xE9WJntiimPkxzx3RyDo47nuCjbuVoGVkY06RayseqjwP8m2sziqJniabk3aer3czE8= xPZL9CbG36922tq29vYtFrJot0VZc3Lk3qLldqKutT8rqxETPdxPPH1oPPHLTYrnFqyYrtdSmuK= Jpm5TFfMxM9lPPMx2d/HDsmLGnaNtfT9Tu6NjapkZ927FVWVNfg7NNuYp6sRRVHyp55mZn0cQ4r= mLh5e2NSzsbTYxrs6pYt2bfXmubdFVFyepEz2zHMR39vZCjrZ//ALveh5ek6VXpuqadXjaFZzcD= Dru8Yd3IuZFuu3x1uvXMTant5iY5757H5moXNK0W7i6RG2cbUPCY1m5cyrly5F6/NyiKubU01RT= TETV1Y7J/Z7fOg/A1XSbun6jn4dV6xXOFX1a6puRTNfbx8mmZ5n7I5fnO77ixMa/rO9712x1rmN= MVWZrj5VEzfopn7+JmHz6jc0rRqsTSPi1j5/hcazcuZNdy7F69NyiKubUxPFMRNXEfJnu7QdVos= V141zIiq1FFuaYmJuUxVPPPdTM8zHZ2zEdjG7buWa+pdt126+Inq1RxPExzH88TEu5a1p+nadc3= Jes6faqjT9VsUWbV6KpiKObnNE8TzxPViJ7eezvfRr1yjWt5YuJRomk26LOLZyL1XhLlqmq3GNR= XPhKpqniimO7jieI75lR0S1T4S7TbieOtVFPP2vs3Bptej65naXcu03q8W/VamumniKppnjnh2j= cmHpdzRcPVcG3pVF2jUIxq503w8WqomnrcT4aP2o476eztfl9I1q7O+NfvRbrm1TqF2ma+rPViZ= qniOfT2T/Mg66cw7xqEaNo+uWNufFrHz7dUWabmTcruRfvTcppnrUTTVFMR8rsjie6OUu4Gk7ew= tduXtOx9WvYOrxh49V+qqKOrxc5mqKZjn9mOznv+xR0gdy1W5pOheJafO3MTUJycW1k3ci7cuxX= XN2mKuLXVqiKYp56sTxPbHa/I3zh42n7sz8PDsVY9i1XEUW6u+mOrE8T9YPxAAAAAAAIiapiKYm= ap7ojzg7P0Z7Xubq3RZwqomMO1/hcqvjuoif2ftqns/p8zaaxat2LVFq1RTRbopimimmOIpiO6I= h1Dom2rG19sW7d+iIz8ri7lT54njso/3Y/pmXcmQAAAAAAAAAAAAAAAAAAAAAAAAJEq5nsBhM8z= yizCAnHApwCBMAJMIyAYizCAgpwCJwoDFxX6urTxHfLmmYiOZfLXM1VTIsOLhJhnwgrCYSYZzCc= A42Vqjr1xHm86zD6LNHVo+ue2RJZ+bgAQAFSYRkTAMeEZIIgvCA1CAaAAAAAAH06ZnZemahY1DB= vTZybFcV264iJ4n7J7J+9z2Na1Wzb1C3azblNOpRxlxxE+Fjnrdv3893pmPPL88B9mJqediadma= fj5E28bNiiMi31Ynr9Weae3jmOJ57jN1PPzcHCwsrIm5j4VNVGPRMRHUiqeZjsjme30vjAfoX9b= 1a9Vp1VzNuVTptNNOHzEf4KInrRx6e30+iI7ohlk65q2RVqU3s2uqNTqivMjiIi7MVdaOeI7OJ9= HH8z80B+zjbp3Bj4EYVnUq6bVNE26Jmimblumf82muY61Mds9kTD469W1KqcGrxuumrAo6mLVRx= TVajrTV2THE99Uzz39r4gH6usbh1nVrMWc7M69qKuvNFFui3FVX+lVFMR1qvrnmXDTrGpU6zb1i= nJ4zrc0zRd6lPZNMRTT2ccd0R5nwAP09H1/V9Js12MHL6lmuetVauW6blHW7ut1a4mIn64jlx5W= sanlWsi1k5ly9Tk36ci9NfE1V3KYmIq63fHEVT2cvgAfuZO7dw5Niuxe1GaqLlubd3i1RE3aZiY= nrzFPNc8T31czHmYYO6NfwsGjDxtRqptW4mLczbpqrtR6KK5iaqP92YfjAPvv6zqd+5n3LuT1q9= Q48amaKf8ACcVRVHm7O2Ins4dq0TOro0nEt0b6x8TGooiK7d7EqnJx/wDSptVRRVMR38cVU/ZHa= 6MA/Y1/XcjUNQ1auxVVbxNQy/GJtVUxM9k1dTme/mIqnuSNya3FWDXTm9W5gUdTHri3RFVNPHV6= s1cc1Rx2cVcxx2PyAH6up7h1jUrUWszLiu1Tcpu026bVFFFFVPPE000xER+1PZHf5+XHn65q2db= y7eVmVXKMzJjKv09WmIruxEx1uIjs757uIfnAP2sPde4cTDpxMfUq6bdFPUt1TbpquW6fRRXMda= mPqiYfmxnZcadc0+Lv/drl2m9XRxHbXETETz391U9j5wHd9v51y3o+Nas73xcKxRH+Es5OJVVex= 557fAzFFX2xxVT2+h1zdmpWtY3JnalYpuU2b92arcXP2urxERz9fEdr8sAAAAAAAel9A2051fXp= 1vMtz4np9UTb5jsuXu+I/wB3v+3h5/o+n5WrapjabhW5uZGRciiiIj0+efqjvmfREtr9paJjbd0= HE0nEj5Fijiqvjia6v86qftlJH60RxACAAAAAAAAAAAAAAAAAAAAAAAABLGFn0AITCgjCYRmkwK= xOFnsQEFJgESYUBOEZJwCJwqVTERMyDhvzPHVj73C5J5meZ70mIkWGEpMMpiUFY8Jwz4SY8wFmj= rV8z3Q+hLdPVpiPP52QyicLMAMRknAIAAnCgqIyOAa3+TPfHqK5+db948me+PUVz8637zaAXKNX= /Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/ACZ749RXPzr= fvHkz3x6iufnW/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufn= W/ebQBkav+TPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz3x6iufnW/ebQBkav8Ak= z3x6iufnW/ePJnvj1Fc/Ot+82gDI1f8me+PUVz8637x5M98eorn51v3m0AZGr/kz3x6iufnW/eP= Jnvj1Fc/Ot+82gDI1f8AJnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrf= vNoAyNX/Jnvj1Fc/Ot+8eTPfHqK5+db95tAGRq/5M98eorn51v3jyZ749RXPzrfvNoAyNX/Jnvj= 1Fc/Ot+8eTPfHqK5+db95tAGRq/wCTPfHqK5+db948me+PUVz8637zaAMjV/yZ749RXPzrfvHkz= 3x6iufnW/ebQBkav+TPfHqK5+db948me9/UVz8637zaAMjyroT2Hl6FdydY1zGiznTzax7c1RVN= FP8AnVdnZzPd9kT6XqpxHogQAAAAAAAAAAAAAAAAAAAAAAAAAAEmFBEADIAGE4SYZAZYIzmEmBW= KcMkBBU4AcN6fldWO5yV1cRy4e8GKTDLhBWKTHLNOAYcSzs08zz6CI5nhzU08RxAJwKCMTheAGI= pwDHhJZAMRZhAAAfoAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAgpwJ7oEwAAAnDGYZgMEZTDC52QK4655q+qGEwzlAYDKYSYBjMehGREczwC2qe3n= j7HIccAInDIBiLwnAJwjIBicLwgIKkwCcHCgPuAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAOAEwkwKSCAgo4qp608s657OHHwJhJSWRwKx4Rlwn= AMeGVuniOfSRHayAOABBU4AABJhGQDEXhASUZJMAnBwqA+0AAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJ445VjX2iYYTzyjJOBWPBwoDEmF= 4POBTCgCcIyAYi8IAnCgIKnACKAnCMkQQ4ZU0zVVEQ5vB0ehRmAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABMseFnvBGMwkwzSYDLBJhnMJw= KxWIAE4FAQJAE4UBOEZJwCC8IBwigIkspgopmqrjzA5LNPEcz3y5OfqAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJVJAAAAEwJMKAxmE4Zp= wKwFmAEOABOOBTgEAASYUBiMkmARzW6eI+1x245q+qHNAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAgnHCn3ggqcCgAAAgnCgMOEZpMCs= RZhACYAEFSYABlbjmeQZ0xxCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAJg4SVAQAXIAGAATCJMMgMsOEZ8JMCsRZQDjlyUxxHEJ= RHnZAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAACJMCgIHCCqAAAInCcdrIgFAFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAO04ARBUDIAKR2qQAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAHHaAmAAUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAmU5fkbu3Hpe19LjU9YvV2cTwlNublNE19WZ7uYjt4YbZ3PoW5sa5f0LU7ObTa4= i5FHMVUc88cxMRMd09/oa5dfp9WPZiblMVenPu/a5OWq1vpe3roOu5+PGfb1DGt5VyKbWXR1uIi= ueyKo4q7vrbI7M1ivX9radrNePGPVmY9N2bcVdaKZnzc+d6dVobumiKqu0vNptbb1EzTT3h+z5u= SJ5dO6Yd31bI2Hm63Zooryommzi0V/szdqniOfTERzPHn4eDbL0bpw6QdMr3HibvvYWLeuTFqq/= m3LNN3iZiZoot0zEUxMTHdH1PI9jarkeG5WD0j7J6MLtOq9IGlYesXdXpqt6hm3671qLE2uPBc3= LVUxVNVMzx1fv8z07B3Fp+kbJ0nVNzbg06nwuHZm7m1XIotZFybcTNVHMRzFU8zEREdnmgHZB1X= TekXY+pVZFOBuXAyJxsevJvRRXM9S1RHNVc9ndEPmp6VejqqqKY3fpfMzx23Jj/kDuY+LK1fS8X= Sf5WydRxLWn+Di541Xdpi11Z7qutzxxPMPwNN6SNi6nqFjTsDc+n5GXfri3atUVzM11T3RHYDtg= 8p6LN1alas7l1DeG/ND1jBwq7c0V4nERiUzVXExc4tUds/Jj/O7pdlsdKXR5evUWqN36V1q54jr= XurH889kA7iJTVTXTFVMxVTMcxMd0qAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADy/wCE5+7G5/F2v+bqXwR+7c3/AA3/ALrtvw= nP3Y3P4u1/XLqXwRv2dzf8L/7r7Vr7sq+v+HxLv3jT9Hie5P8AKHUv4u7/AG5be9EP7sdv/wADR= /U1C3J/lFqX8Xd/ty296If3Zbf/AIGj+p6uNfYW/wB/Dz8H+3ufv5dD+GBjX7/Rfi3bVM1UY+qW= rl3jzUzbuUxP4qoj73Yvg46jg53RFotvEv267mLbqs37dNUTVbriursqjzc9/wBku5bm0TT9x6F= l6LqtiL2Hl25ouU88THniYnzTE8TE+mHgWb8GOvxu7Vp28PB48zzRTew5muI9EzFcRP28R9kPzb= 9G7V8MCf8Awtxv9q2v7u68d6UMvJzNf2Fpl/TsnVMTH29p82sC1VVE5M1URNUR1YmeZ4insjn5L= 1ijoLyqejC9s6rc1mq7c1enUIyZxZ4iItdTqdXrffzz9z9je3Q1i7k0Lb1q1rN7Tta0TBs4lrOt= W+YrptxHHNPWiY7YmYmKuznzivP9sY2NOi7xrp6KMzaVdvbGfNObeuZExXPUiPB/4SIjmYmZ9Py= X42wdibY1b4PmvbozdPmvV8SMmbORF2uJp6lFM09kTxPb9T1HQeineGLa1bH1jpFzNWxtQ0vJwa= bN6m5VTRVdo6sXOJrmJ47X6u0+jK/oXRJquxatYt37mfF+IyosTTFHhKYj9nrdvHHpEa769m5eR= 0NbD0i7l3KMK/qGb4Tmrsjq3KIp/m8JXx9rZTbnQ/sHRM7C1LT9GqpzMOqm5avVZFyqrrR3VTHW= 45+516joP0/J6LsTZ+p6rNzKwsi7kY2fZs9WaJrntiaJmeae7mOY7o7YfPszoh3hoGv6Zm3ekjP= zMDCvUVThzF2mi5RT/mcTcmIjj6uAeadE2p6JpG0OkrL3Fg1ahp/hseivFprmnw1U3LvVp5ieYj= rcdvoj7nXN3VafnbOu52n9EWZodiuKLlrVqb+RctUUzVEd9VPVmKu7v75h7hoHQZbxNu7o0XUtc= 8Yt65ctXbdyzj9SrHrt1VVUzxNU9btqj0d0+l+Fe6BN23dH/kW50l5NemRTFEYlVi5NrqxMTEdX= wnHETEcfYD0noAy8jN6H9u5GVdqu3IxqrfWq7+rRcqopj7qaYj7ne3XOjPbde0Nkadty5l05dWF= TXTN6mjqRX1q6qu7meP2uHYwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAeX/Cc/djc/i7X9cupfBH/AGdzf8L/AO67b8Jz92Nz+= Ltf1y6l8Ef9nc3/AA3/ALr7Vr7sq+v+HxL33lT9Hie5P8otS/i7v9uW3vRD+7Hb/wDA0f1NQtyf= 5Q6l/F3f7ctvOiGf/DHb38DR/U9XGvsLf7+Hn4P9vc/fy7NnV1W8DIuUTxVTaqmJ9ExDVLYm6On= Pe3js7d12rIjCqoi914x7fV6/W6v7VMc/sy2r1P8AxZlf6mv+zLX34Fn/AJW7P9Zi/wBV5+bfo4= fNsTpR37t3pKs7Q6RqvC05N2ixVNy3RFdmqv8AYrpqojiqiZmOe/7uJeoba1nduT0raxpeoZej1= 6FZornFtWL9qrJpmJp469EVdaI7Z74jzPFfhN128zp10jGwZivJoxsWzXFM9sXJvVzEfbxVT/PD= 7sXUcnSOnLpL1PDq6uTi6TmXbVXHPFcRb4nj6pBsVnbk2/p+TVjZ+u6Xi3qe+3ey6KKo+2Jnl1r= pG3RmfE69n7G1nQr+ZayLdFV29mWvA0xPPMTVNUUxPojl4r0KdFW3977JzN0biy9QyM25lXojwd= +Kf2YieapmJmapmZnnn0OmaHER8H/c9Md0a3iR/wCmoHs/TdvzXdv9F+3snA17Dxdx5FePVmU4t= dq51qarNc11Ux2xNE1xHFUdnd2vS9qbq0jM2liajka7p1ybWJYqzbvjNHFquumP25ieKZmrmO3j= ta9dN+29Lt9C+yN1027n8qXMPAwaq+vPV8F4tXXx1e7nmO93bL2z0d7G6FcnM1TEzq8PW8bCqy7= Nq/M3L92ni5RTRM9lPbNUz9UT9gPXMfde2Mm/RYxtxaReu1zxTRRmW6qqp9ERE9rzLpX3duLSOm= nZ+habqdzH03Pmz4zYiimYuda9NM8zMcx2dnZLwLeU7Mu7fjJ27s3cek3+vTVby8nIm5Zqp9Hd5= +Y4mJ9DvWtZuVqO/uh/Nzb1V/Iu4GFNy5VPNVc+GmOZnzzPpBtTAQAAAAAAAD8PfG4MbbW28rVL= /wAqqinq2aP9O5P7Mf8AOfqiXgHlU33zP/xqI+rxWz7gNmxrJ5VN9+u49ks+4eVTffruPZLPuLg= bNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7J= Z9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWf= cMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffru= PZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2= Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb7= 9dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/X= ceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeV= TffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3= 367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjW= Tyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8= qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZ= sayeVTffruPZLPuHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLP= uHlU3367j2Sz7hgbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7h= gbNjWTyqb79dx7JZ9w8qm+/XceyWfcMDZsayeVTffruPZLPuHlU3367j2Sz7hgbNgIAAAAPL/hO= fuxufxdr+uXSfgp52FiVbioyszHsVXZxvBxduxTNXHheeOe/vh7zq+mafq2L4pqeFj5mP1oqm3e= oiqnmO6eJfkVbE2ZMdu19In/AISj9Hvt6ymnTTYmO85y+dd0lVWpi9E9vhrruLok31d1LNzsTSr= WXYu37lymbWVb5mmapmOyZh6F0e9It3auiYW3t57c1TR7WHbps282rHrm3VEeers7Pu5ek2NlbY= xuZw9IsYcz3zi1VWZ/nomJc8bdtW4mnG1LU7duqOKrdzInIoqj0cXet2fZw6XuIc+iKLsZiP0Ys= 6CbNc125xMvtsZeJrGj13tOy7GTZv2qot3bdcVUzzHHfDWvTPg/9JGmzd/k3dmmYXhJia/F8zIt= 9bjnjnq0RzxzP873jE2dj6ZkXM3Rb9Om5NUzM02LfVsXezs8Ja56sz/81PVn63Z8abk2om7TTTc= 4+VFM8xz9T51WM+z6VE1Y93h3RZ0E39A3RZ3LurWLWpZuPc8LZs2Yqqo8J5q6q6+2qY74jiO2In= me5+3onRdnWeljc259Uv4ORpGtY17H8Woqr8L1bnU5ir5MRHZTPdPnetJMcstNVq9nZ+1bmda2X= 0y6BjaZc5uV2bupRbrniJ7Jpp60TPHZzHHPofN0PbM1Pe/Q9uLR9Ov41i7d1excpu5E1RRPUo5q= j5MTPPyo8z2SvoG6Na7lVyrRsiaqp5n/AL7e7/xO97b0DSNt6Ta0nRMG1hYdrnq26OZ5nzzMz2z= P1zMyK6HvXozydzdD2jbNuZ9jH1DS7ONNF6Imq1VdtWptzE9kT1Ziqrt457ux1ux0R7y1Xo+z9r= 7t3VjZUW6sevSK7XWuU4824rpmmrmmmZiYqpjvmY4+rt7rujU83P3nZ0rCuX7GNptrwmfNNVdEV= TdpmLcxNMTz1erNXFUxEzMejs65rd/eutZ1i9GHrODHgZt0049FVvwXhOrz1p5+XVT16O2eI5t3= PNPLtRYmr5eeq/jtDquq9EfTBqm3adu5+9tIyNLt00UU49ddziIo46kcxa57OI879+50Sa/Xruw= s/wAf0zwe3MbHs5Udevm5Nu5NUzR8ntjifPw7Bcyt5YOhYFjBwL1zxm1NNyK4u1XLHWimmOZqma= oqpmvv7qot1TERzD6NG1HdOu61gWNS0vK0/CouU5VdUW6rfbFuKvBVVTPyoiq5THPEczbq7OJ7H= JnGcrzo7YeiUqlKuLsAAAAJVPCuidM27I25tmbGLd6uo5vNux1Z4qt0/wCdX90dkfXMegHlXTdu= yNwbknT8S51sDT5mimY7q7ndVV/RxH2c+d5+faKACgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADdABkAAAADgAODgAOCIiO4AAAAAfLXp2Bczac65hY= 9WVTTFNN6bUTXERPPEVd/D6erT6FBMJ1Y9BFMQoKAAAAATPAOLMyLGLi3cnIuU27Vqia66qp7Ka= YjmZaqdIG5L26dzZGp1zVFjnqY1uf8AMtx3R9s98/XL0/4Qe6/A41G18K5/hL0RczJj/No76aPv= 75+qI9LxBYABQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAABugAyAAAAAAAAAAAAAAAAAAAAAADG5+yANXemD94+sf62n+xS6mCgAoAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//9k=3D" width=3D"= 793" height=3D"1121" alt=3D"" style=3D"margin-left:-1pt; position:absolute"= /><img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBD= AAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQE= BAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAAbAE0DASIAAhEBAxEB/8QAGwAAAQUBAQAAAAAAA= AAAAAAABwUGCAkKAgT/xAApEAABBAMAAQQCAgIDAAAAAAAFAwQGBwECCAkREhMUABUKFiEiGCUy= /8QAFwEAAwEAAAAAAAAAAAAAAAAAAAECA//EACkRAQACAAYBAwMFAQAAAAAAAAECEQASITFBUQN= xkfATImEygaHB8dH/2gAMAwEAAhEDEQA/ALAbx6gFUHCruua3rKsFMMDvK/BjZu2mcwdmDZDW+L= BBRGGRYS3M6bOyDrRuPBR8MxTTQatUEUk9Go5nvujzW3N/m+6DizK0o6FqbmeLnGqRiK1tedm26= ftJ0HdJ4cMNZg3jZduPhxR033S3cDFMvXg7ffZF4gi4TUQ1DjUFHp95X/HtX1jtGj+vMdg+QCyR= AYpjTcPIbgrE/dUprRB6grn4FnkcMMk5QE13122/asENE9d9lM6ZcD3yLdzI0R2hNAl83CT7Urt= /ZDeV8go8yOCkS5trYN0fXsL2s8JJW8FS+6+iVIF5XN443LyCQNp+mOeGmjF21EKI75QhG5S1Va= 1V6/c29TGEPGOaaqynLmVVZ0n5DeivTHcTv/oqsb6R5H7biswo6/zAR/JqzMArSmcgqO9I6I2/7= l9WUpWKtt1ioVPbRcvGSCSRhmh7190fj11yoSWJnproe4bApHmWTvI8ypSLBZX0HfVjy+ekINWm= ZQyfFYrBQQNjJWDmY2KcCMFpAuLw/Yj4+Eci3pV3osWHN1mF5GZrA7Y8aNMXvGulpv1VN6i8idF= o863tPapzVUrLE5OeZx2YQmOqpxeHpS6OrRAhJ3hMoNE5HkHUc0YPfsPY5ndB78/T6q4QO8jXAn= QBpKuMd1OJVcHPFklXbIKIs0zJaNhVYyylxUkKbIimtiRArWwwuCjT9ym5PBZfs5EJqrNXSP4EI= xnu/cLlWyzLw+51V+k/SieWm0lBlWaVWINFrrduv8XgftJJ1jV1HVv1jM7KK3NyzOZElFJjJGid= g1PbVEE3koViI0xY0FdziRMlYo8K/RWXfJP2bwWFLhzLhtuye/Lp4Zl0nI5b0Xjk+sOi67qGaBq= 2dW9Zln37c8hDRWBwJogs9xkPH1pgJfTGSKjGrs45HNXrVsGjzfcyTX0bKoZ3APKsIiPEfgmeeP= SS5Jp9w972bcZUnz2SeiSk4rlmYsJhVyNlyEKIcO14pXounKlhk+SOG9m6T82a2RGLrOHCLNKQE= AhXKzqy+v8AmbsOrqIlqnW4qt57yjL+icaAa4K27X1QDKoJVgpZSOiJuEyfdyAFycQmDKMCxYWX= L6CcPXbdZv8AhljnC6qN5RDkD8/7d4bCB5IRuhtY5mmq4sdSzfbCGPuO44dSy/W4XqSOdh8fxmf= K17c9h1i9sWBz2jHO0n/q7SdyOJuZiabG63cOXIo8qTaKtSDWEGB0ty2WH7OstyXOLWuKVTKa11= T1hsYKIp6t07h6S6LuGxZ3pU9BVw51eKBnBFgOkCL+Uy6TpCyboJH2jlsjoOYOHzt1jZRk2dxFu= vPcPOXJ9wcqZ6Fqo4968aTzmioPHdI5Nv0TYcBqGVR4hUhu3x12JZZy6PxCFi/t2XGSVgJEhI6J= tI4D2cInd8M2xUBs4PXAHsnjW3Fa70U7RgNGlucZbeshMwqoLJtujGIRq7o2cT8SQFbxM0fzFhR= uItXxRFscWIk09ESe7RYU/piZxXcdO6y+9b/5gfH4zyRjdXGX25nVMtCK8Mni67MeOM9GWI3gkx= vSuevYx2vR1Rrx9XohjBGVzUzdlHxOULKIjLWVgM2O4cS2tNMprOnZVog2zqIbuSLN07+i7R10H= eLWVGpMn0u1eSo/IwY6wK9fRz9wfJyBJk2PVXHXbvIpwYdPlWrIhugi+2bNlE2m7lRd5hHDh04V= VoL6GmthjrX6E6Cv2CVXTF59F8AN/HFzHxTVNsxa47Cswkdlw6SnbqmOYcq5YgK6r9qL1RZHjCn= wiophdu9eNyWGg97dz4co+tE490FFnK/2nEbNUkBXc+u2cOFxFKxwestrnbGNs6qqN9t9c5xjOd= c49cev4yo+SKB+mWxVbb12aGnBi4wgebxxrRjNYqpplRpdxd8YfLn8j7Cddx9D8v29KRnOz6hO4= b8kfLPUcc0dfs6pt6HdDT4jGy01TWV2bLRQ5ursHkGc4SHJs1vcV1wOwuu31HVX51OrYRChQK+v= HVP7qm2g9m3Y2/ypOIJKams7OqOmjWTN9Cb5uTiTQtrjV2okRw4bMsLb6Jb7I667Zx8d28w0aZ7= f7IMEoP8AYIleqehCRBxiSy9D7D19bcudOl/hbn0kEsquFVFPjRSTS093tT000xrrgZxSFMYAJ3= AweR2dEAm+m+mREbuO2gw3Gu+ce/2MR81QbJ529c+uyaeu2fXP+fxhW2h13t3eKp3jVNNN6e3Zv= +e8XG+VDyg2VLJXAL769GQytlqaIPpVyF4+4zLh01Oa2a7HOBjG8egzwPfA9vvFxzp6lHGDVPVB= su9dNhqi7h0R11hBzj5KeufJO9sWn1Kh5OKB4dCmE7NCrXjsvPAiiT2ewyuhDFiPFi5KvkqtI5y= Fxo6UZoIMmmrt2q8SwjjXeAZfmelz5B0XOxUiaKvVdlnhMtN58RIO1tv/AEq5ePJQs4XU29Meu6= qm22fT/Ofwl0/AYzRBY6cqJEvBS0kCpRw29ESmU7KkAyRoVI27RXD0y7T02ZyAAENMXSOiTxgUF= MXzNwg5bpqajEUUFNn5898GSK5pBKXb1pxtxg82F3r0B4843AZZG6E4fizS/GDyRQzepB7/AAam= MIDNxjF9MCmG6LMkOBDZ3tKaq3YSDdkUTsOs7FD6CsJRvd85enP3ks7b8kGLCqePUFyzPUYtHBU= mMwuxGBR63PjnskGR5XUGLeakUipQQkRWPOWaOmj79KLKOGOrhyho2VhXMaSrifN4k0mYkxJW8F= j5CLRBMtNJu6wAjxWay6xiQphtvI/fo1fTmeTGUOdd9t91S8iJudt85X9NV2rawiNMF8yKqdJJA= DuXgF/+3jE6nQx/h5GTjORgXGrlCSYV1UFnB7Mk1zrtj2uW+mdsba+7XM5IXeUvv56YX0vHd5I2= c1rx/wAMSGsLvK7PHu2RUjlJ8PRGeHcif7fC6wikxHTAGIkYnSSwwgfOLR8WDKDpJHV2RtmzDyQ= quLSetUCrNg9wogi4OffK71p5AJHKqKWqrlR8xRhD+Yv4/ZwaSn2EqQHHY6CRj0aiTBnITEvlaz= 6SsyDYIEDviqQQaeON0FEwy+uY6WHG2VsRYDCbHISqYxWNkHhIMGNTeZuG7R883Wyo4331P6OHe= 6WrhdFlh6s51GtllGo/Vq23yllCqisIZSZ97J6sYk4abJiVQBJ4NlEqW1IB1iA0v9B60fmnjJ0i= gYDhzLLK7ZTdgZECy7HduRHM3KLyR00NNTDfHBczEs0Hn5pg6T7ubp3x5x+qLAZ8gcm1mn0FGjh= YUQhMLNBjaGI0WQYkYrJ13TMWSYlUGD2OSNQFsptq2ESEGq8SbPt1WrfXr/Fu67nvbvPHWd12GH= j8dkX/ACIARHZhGk3Wo3LIDUkNWar41drKrYXUySVwr/v7c4109uMemfXFvacXZ3SNbjLaMTexB= 7A44kg9nLbGsA0gNNvhYwG+IDU3kmUwOVfCw4tq+0ZfAi8+g2WcpKuEtVfzZ5/FUraF1lyF0YLh= AbIRiR6Ry/eIYJFiXzO8VjBm+FflLP36yfoiknp8aSmiX+vu9nvzttkyR3ovDIRi5gpqr5r+sf/= Z" width=3D"77" height=3D"27" alt=3D"" style=3D"margin-left:441.05pt; posit= ion:absolute" /><svg font-family=3D"Times New Roman" font-size= =3D"16" height=3D"41.33" version=3D"1.1" width=3D"209.31" xmlns=3D"http://w= ww.w3.org/2000/svg" style=3D"width:209.31px; height:41.33px; font-family:'T= imes New Roman'; font-size:16px" xmlns:xlink=3D"http://www.w3.org/1999/xlin= k"><defs /><g><g><path d=3D"M0,0 L209,0 L209,0 L209,41 L209,41 L0,41 Z" fil= l=3D"#7c7c7c" fill-rule=3D"evenodd" /></g></g></svg><a href=3D"http://www.anatomiadigital.org/" style=3D"text-decoration= :none">www.anatom= iadigital.org</a><img src=3D"data:image/jpeg;ba= se64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBA= QEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAC2= AjMDASIAAhEBAxEB/8QAHwAAAQMFAQEBAAAAAAAAAAAAAAcICQIDBQYKBAEL/8QAXBAAAQQBAwI= DAwYLBQQFBwkJAwECBAUGAAcRCBITFCEJMVEVFyJBodEWVldhcZGSk5bT1CMyUoHwJEKxwQoYU+= HiGTNDYoKU8SY2RFWDlcLD0iU0NUZHVGVmhP/EAB0BAAEFAQEBAQAAAAAAAAAAAAABAwQFBgIHC= An/xABHEQACAQIEAwQGBwcDAgQHAAABAgMEEQAFEiETMUEGUWGRFCJTcdHwBzJCUnOBoQgVI5Kx= 0vFiweEWJBclM0MYcoKipLLC/9oADAMBAAIRAxEAPwDv40a+dzfin69CuRF4VfsXRgx90ap72/H= 7F+7R3t+P2L92jBirRqnvb8fsX7tHe34/Yv3aMGKtGqe9vx+xfu0d7fj9i/dowYq0ap72/H7F+7= R3t+P2L92jBirRqnvb8fsX7tHe34/Yv3aMGKtGqe9vx+xfu0d7fj9i/dowYq0ap72/H7F+7R3t+= P2L92jBirRqnvb8fsX7tHe34/Yv3aMGKtGqe9vx+xfu0d7fj9i/dowYq0ap72/H7F+7R3t+P2L9= 2jBirRqnvb8fsX7tHe34/Yv3aMGKtGqe9vx+xfu0d7fj9i/dowYq0ap72/H7F+7R3t+P2L92jBi= rRqnvb8fsX7tHe34/Yv3aMGKtJ5urkM/Edt9wcsqkjraYxhGV5DWtljeaK6fS0M6yhtkhYQTygd= IjDaYbCicQauYhGKqPRQe9vx+xfu1i7auhXMGdVWUUE+ttIUmvsIUobSxpcKYF8aVFkheisKCSA= hAmG5O143K13KKqaBa6kgMoZSyn7Sg+svL7QuOmx59DywJUhTpJBAb7pItfvuOlgTe2GLE6x7Gr= QwrbbNTRHWlhh9LcRMuijdfZnV1eKTyAlVhqRB43QTH5O1jLc9nZEheQkqevcF0cxcTUdZGVxb+= ViNxtPY5BfQ8juwXLcPlWlpW49RRrwNHXrHtYGNWEK5kqdJUg8mzLiYUisYr2Clu8o14kvaXbeb= EJCl4RjUmIYtmcsY9REMAp7mAGptiPE8bmOfYVsYEOU5UVSxwjG5VaxOMEHYHZyOGoDH2zwwYqG= TKl1TG0MHiBKnHFKmmAij58STKEKUdXq7xZQmSXcnahNXIq8iCupyuQswXnM9gwNww/jLpF7eoo= 57l1UaTSmlzf1CK9bqRzjQ3uFBBBia4vc6mJKkEAG4IbZL624oaDJbsGARPGxXJ7TEptdOzuKOV= OsaGNLm3JKaNUY7fWlrDHDAEkCTGqVHJIU7JzqsUCWcdm16yJcrFEzWnw6PW4o+yiQ41lOyaslZ= HMKAMKZcxmYSUEGYgRx5jRxLCLYzXue1XyYEQbxOe56x2G2ctwhjWe2uHTAgGMQmHoYD0YMKSWj= YnIk7mo2ZLa5Hd3iJIMj+/xXot8WyG0gJvnw7d4gOcoYcd0llBAabwYCDbEGjkFyiAaIbGq1Guc= wbGvVzWtRAVWRCzDLKjUXUlTUFl0AICljKLlnDHUbqLlSjbEdGmzZiR6bCFKMLrEVa51BGuY2Hq= Ai4sNVgwK4bVI6w78Uuupo20MeXkFzWJkVVDbuJDZWkxp9RZ24pk+2Hi5/IWzh1MqOSlHCmNGZ8= dyWJAEeYXigdcBLw9w/HNlc4u6itgT0jWkZLJBysgrayLYSKo5ExklUKC58gsWPOgXFxbySgRI+= NFfJjDK6uq2c2to3vfUYFi1c80mVMI+HSwgPdJmxnwpJFcwSL3FiELGc1qozwSPY1rWuVF8ZNi9= oTypU4m2+HElTqr5ElnJQVz3yKvy8eIkQncDhzEjRIoO9U8Xwo0cav7QCRqCqyPcNlktwtg/pDh= TJqNzo4+yhQoADXDBjuCFVTT5sCo9NjsCuocJNwoFrNwQQSwJJtawUbbsb+ze5wd2cFr8xZWCqi= yplvXTKwU81j5CfTWcmslxiGk1tLYCK0sZXFiWlPVWsRzvL2FdElDKFquM/up9X5v89axiuJ45h= lPHo8Xp4FDTRnSHgrq2KKLFGWUYkmSZBiRvcaTIKSQcr0cQxnvKV7nuc5dn72/H7F+7VVKY2mkM= KNHCWJjRiWKqfqrqJJOkC1ySTe9++zgEqxIs7rJKFAkdQFDMOZsORI8rchfFWjVPe34/Yv3aO9v= x+xfu1xh7FWjVPe34/Yv3aO9vx+xfu0YMVaNU97fj9i/do72/H7F+7RgxVo1T3t+P2L92jvb8fs= X7tGDFWjVPe34/Yv3aO9vx+xfu0YMVaNU97fj9i/do72/H7F+7RgxVo1T3t+P2L92jvb8fsX7tG= DFWjVPe34/Yv3aO9vx+xfu0YMVaNU97fj9i/do72/H7F+7RgxVo1T3t+P2L92jvb8fsX7tGDFWj= VPe34/Yv3aO9vx+xfu0YMVaNU97fj9i/do72/H7F+7RgxVo1T3t+P2L92jvb8fsX7tGDFWjVPe3= 4/Yv3aO9vx+xfu0YMVaNU97fj9i/do72/H7F+7RgxVo1T3t+P2L92jRgwls3O7yHOlxB7d5ZPFG= OQA58QUFY8lGOVqHAr5LXqEiIjmK5rXKi/SRPdqwu4l9+THNV/+ygf1Wlb18VUROV9ETXV4+sKe= bj8/rfPnhnhy3vx292hO8eA6C35++6SfOJffkvzb91Xf1ej5xL78l+bfuq7+r0rPiM/xJoQjFXj= lPfx+n9Gl1Rexj/mff8A+/w/U+Fk4co/98/yJ0t8D5nCTfOJffkvzb91Xf1ej5xL78l+bfuq7+r= 0rmhVRPVdLqi9hH5yf3/Nz4WOHL7dun2E8PgfM4SP5xL78l+bfuq7+r0fOJffkvzb91Xf1elZ8R= n+JP8AX/w0IRiqiI5FVfd+fRqi9hH5yf3/ADc+FgRy+3J5fYT/AE/1t+vmk3ziX35L82/dV39Xo= +cS+/Jfm37qu/q9K2qo1OVXhNU+Iz/EmjVF7CPzk/v+bnwscOX27dPsJ4fA+Zwk3ziX35L82/dV= 39Xo+cS+/Jfm37qu/q9Kz4jOOe5OPj9Xw/4qmhSjT3vTRqi9hGfzk35f6/m/uscOX27dPsJ4fA+= Zwk3ziX35L82/dV39Xo+cS+/Jfm37qu/q9KyhGL6o5FT3cp8fhr6rmp9afrTnSaovYR/zP4f6/m= /uscOX27dPsJ4fA+ZwkvziX35L82/dV39Xo+cS+/Jfm37qu/q9K0j2qnPKfoVfX9WhHNVeEX1+H= rpdUXsI/OT+/wCbnwscOX27dPsJ4fA+ZwkvziX35L82/dV39Xo+cS+/Jfm37qu/q9K2qonvXVKk= YnvcicfFdJqi9hH/ADP/AH+B/XwscOX256fYTw/rY+fmk3ziX35L82/dV39Xo+cS+/Jfm37qu/q= 9Kr5qMj0Gpw+IvuZ4je9f0N57l/Vq40jHc9qovaiKvHwX10uqPY8BLHkbyb8v9Xzf3WUxTC15mF= 7EXjUXG2+48D5nCTfOJffkvzb91Xf1ej5xL78l+bfuq7+r0rXc34+78y/dr73Jxzz6J+nRqi9hH= 5yf3/Nz4WThy+3PT7CeH9bHz80k+cS+/Jfm37qu/q9HziX35L82/dV39XpW+U4559P9Jo7k9F59= /u9F+rRqi9hH5yf3/Nz4WOHJ7c931E5i1x+h8zhJPnEvvyX5t+6rv6vR84l9+S/Nv3Vd/V6Vrua= v1/Yv3aq0aovYR+cn9/zc+Fjhy+3bp9hPD4HzOEj+cS+/Jfm37qu/q9HziX35L82/dV39XpXNGj= VF7CPzk/v+bnwscOX27dPsJ4fA+ZwkfziX35L82/dV39Xo+cS+/Jfm37qu/q9K5o0aovYR+cn9/= wA3PhY4cvt26fYTw+B8zhI/nEvvyX5t+6rv6vR84t9+TDNv3Vd/V6VtXNb71RNU+Iz15Xj9P+v+= OjVF7CPzk/v+bnwscOX256fYTw/rY+fmk3zi335MM2/dV39Xo+cS+/Jfm37qu/q9K2jkd7l5419= 0mqL2CfzSeH+vw/U+FgRy+3J5fYTw/rY+fmkfziX35L82/dV39Xo+cS+/Jfm37qu/q9K57tUeIz= /EmgNF0hjP/wBUh7v9fzf3WOHL7dun2E8PgfM4Sb5xL78l+bfuq7+r0fOJffkvzb91Xf1elbRUd= 6oqL+jX3RqiP/sxkf8AzSeHc/hv7/dY4cvt26fYTw+B8zhI/nFvvyYZt+6rv6vR84l9+S/Nv3Vd= /V6VzRpdUfsE/NpOlv8AX4fr7rHDl9u3T7CeHwPmcJH84l9+S/Nv3Vd/V6PnEvvyX5t+6rv6vSu= ap72cqncnKe9P9fo0aovYR+cn9/zc+Fjhy+3bp9hPD4HzOEl+cS+/Jfm37qu/q9HziX35L82/dV= 39XpWVKNPe9qce/ldHiM/xJpNUXsI9v9T/AN/zc+Fjhy+3P8idNPw/XzSb5xL78l+bfuq7+r0fO= Jffkvzb91Xf1elb7m8c8px8dU+Iz/EmjVF7CP8Amfw/1/N/dY4cvtz/ACJ0tf8AofM4Sb5xL78l= +bfuq7+r0fOJffkvzb91Xf1elaRzXe5UXjX1XInvXj69GqL2Ef8AM/h/r+b+6xw5fbna32E/0/D= 9fNJPnEvvyX5t+6rv6vR84l9+S/Nv3Vd/V6VlXtRFXn3fmXR4jOEXuT10a4vYx9/1n5bb/X+b+6= xw5fbt0+wnh8D5nCTfOJffkvzb91Xf1ej5xL78l+bfuq7+r0rnKcc/Vxz/AJap728c8pxo1Rexj= /mf+/rb9T4WOHL7dun2E8PgfM4SX5xL78l+bfuq7+r0fOJffkvzb91Xf1ela72qvHcnPv1Vo1Re= wj/mf+/wP6+Fjhy+3bp9hPD4HzOEj+cS+/Jfm37qu/q9HziX35L82/dV39XpXNGl1Rewj85P7/m= 58LHDl9u3T7CeHwPmcJH84l9+S/Nv3Vd/V6PnEvvyX5t+6rv6vSuaPdpNUXsI/wCZ/wC/5ufCxw= 5fbt0+wnh8D5nCR/OJffkvzb91Xf1ej5xL78l+bfuq7+r0rPiM93cnPw1jJ19R1ho0eyuKyvPNf= 4cME2dGillE5RPDjjOUbzv5VE7Ro53r7tdLoc6Up1c77LxGO3PYMTt17rnwsjB0Gp6nSLgXZY1F= zawubC5sbDrfzTn5xL78l+bfuq7+r0fOJffkvzb91Xf1elZQjF4VHIqL7lT15/RqpVRPfrnVF7G= P+Z/Aff79vz91lEcvtyeX2E8P62Pn5pJ84l9+S/Nv3Vd/V6PnEvvyX5t+6rv6vSua+KqJ79GuH2= Mf8z+H+v5v7rHDl9u3T7CeHwPmcJJ84l9+S/Nv3Vd/V6PnEvvyX5t+6rv6vStdzfj/AMdVaNUXs= I/5n8P9fzf3WOHL7dun2E8PgfM4SP5xL78l+bfuq7+r0fOJffkvzb91Xf1elc0aXVF7CPzk/v8A= m58LHDl9u3T7CeHwPmcJH84l9+S/Nv3Vd/V6oJuLkCInbthmqLz9Yq/j/PiX7vrX9Glf0aS8XsE= /JpAf/wBvm58LLw5R/wC+Ty5ovh3e4+ePKAjyBERwlY57GvVj2/TYrkRVY7hVTubz2rwqpyi8Ku= jXq0aa0jx8z8fAeWHsGqCf3Hfo1Xq0dvcEreVTuY5vKe9OU45T86c6ViQrFRcgEgcrkDYX8Ttgx= Gxv57QTDdqN0Ma2bohQ7jNcml2cCvERxDhJMqK41rOjeHFIjxOFDAV/iG+i8jVGNO7lVcBsX1Bs= 3SRa+6qw0V4hCtFGYfls1QI1x/DARfMAcNrkVUeitcnq1fRU1z7T+hHMen32hlp1OZVlIMpqG57= nmaU9dY0R/wAIJkDOMddRMqWZYSwNFWBjzlWXUx2VTHRTPKhe/lrtTJ7C2ttudndJdwcZkUtHis= iTLk3ZiNKezcWIyGKPLksjhbJlPXkp3sajURG8savrr8+cm+mPtbN9ONJkUP0hV2dVk+cfunNPo= xbspU0dLQwNmTxzTw1r0olpUyrLGE71k07xVbwPMZhHNHT4+i8y7EZND2BbMF7NU9LTpQpXU/bH= 9+RTTVMopVcQNRLNolasqv4SwRQh4FlClS0byYkhT3J+hNUF5QblT3onPp+lP9f8NJlutunR7TY= 8DILuNaWK2NxV45R0tHEHNub3ILkrx11VWgNIix3HOgjmcSTKjxgR45jGMxrF5SyL1d7IJHQWS5= auC34fLjuMQzKBNrcmoDyAOltBcQI4po4zWwBFsXS2SDQG1jHWiyvk9rpKfoPYnoTty5/P9MfOR= dRzYC/I3Hh8cJZ1gdW19022e2tHRbZZHuBJ3FJkAVmY9CPYvoPkZKrtNLiiag1HJWyXhx5McbfB= dy5UVUTYOmvdO63HyazJkOXUZrX8Hw2DsCDYwUyKgjlnRmJMtaKMcpoDO97YykKrmKQjWNcqu02= brD3Iqt6h4HiO0m/uFYrTT7jM6DMLQ0ycxZJKwVS04IZIteQ8mDCccopVhHkgqFkmjx3WLpLhC0= i3SPgHR10T5PkO6OPb0T9zdyNz6nHMUm1tE2xsgTg5Hk9OtWaorpX0WoWxPWSDHfZdrKybHneGk= SbDIbHZt9GC5l2jyPt7UfSDnyjK5mek7B0FdUU2TtIkL0y1OaU0VM0dUTrklSKaoCG8bhQVAxLX= 6SKWan/6Ey/6LJMvno4XTOfpLra2Opjzt55vTYKfK6OomSWhFHBLT0M0tHDKkzwScRkYscTZZqR= 4cQycwyvAUNBcFEcb1GQJBV0l4yjenqx43ta9rvqciLqCqF7Ti0xml2+2zkBgyCgpbhubbgWV/w= CNOdFqntrytAZGNbEyEs2whKJJDCoFrGqqlcRVbPi8TJsYgJI2EEZrxFG9vLCDeitex7V5RzXNV= WuRfRUXhUVPehOdbQbOU2J5TkEjAcNipV01ncSZy4vVy3gSvhklklrHeDiQQbI/f4bl/tXMajuV= 4XWsmVmhlVXEbNG6q7AlUJUgMwG9lO5t0GOKcE1EAEbSkzRARL9aQl1/hrsfWf6o2O55HliGPcH= 2n+QS9ope3lZilhVZLkWw+bbl4xuMuZgNNbU4RbjppR5UiNBjsTKp01PGroAlVJA2OCqOI/uRWI= 3XRvHnNdsNb41Xi2zptx8Hr7amn5oein1V9dAxmDlwq/LiMIW0xxt9WhtKyFI8aAabYwZbQNQii= YrW+lvfmb1gbhbhYRRY9Q4zcYfU5DfbYR7bAcPnQcso6tJoUhsBCVgahTz5EU5odgE0chDNO5zy= Ne1qPdS1L1kTuoraHbLGNuL3IqCmxrCbDOseh4jHxrC9wrEeX0sy8xAljAjRaKQOhqcjcOZYxlF= GjhSQN6eXGUeqn94xRZfDPHqq1LRUxamVtTTraOR9J9ZVVkJY/wCxGPU8s+jHP07cVHZrPTlvZa= tpcrnz6cdopqRqJcv4SVUMXF1mmeepWVIIl1fw5i3EMZik0dQe2uWrnm3+HZm6Eevfk2O1N0SFI= AWKaKSxhBkvA+MdzjB8N5HIjCqpEaiI5VX1XH2O62FVeWiwqRaGNkTyQgnhwa2zsBVxLJeK4drM= hRDwqsk1FR4GzjBeolaZUaF7CLteNRvKY/TRg1bKYIKuCFlO1Rr8mNFHGxte1QueFUiIiARRPcP= 6H0XObwum0bgdPGS5RkGWGoc3djmPZ5kFPk+RoCHNbktbc1VLCx50jHLqFZRBBDMqa6GNYllFsI= 8WU0kuMMZCu1qMqp6CeSSPM6pqVRTXjlVXKtNqiBDaUkYhYzI4j0gyuoUOl9/G81lqYpNWXUysj= 1jhoyRI0NMWbSFYSKjkHQrOWbSupgGANnXCkx3+rTDXtf2ORCNVUJ7+xURfouT3q1fpfm51jJOU= UkC3raWVYxg2Ns2Y6BGe/l5kgR1ky+FRO1vghTxH+I5v0fdyvppi2DdP+4GDzL+DJm3FwCxlQog= LCGIIIZkAyapMvltmZGWSTKpa2SJYThgDHI+vEoqxv0Vcj7+jTdjP7rKS3GRHwWNCkygU9iqlnT= Mv8xLsXmmXiwrtxHikxJAAyTBdVSDDYwbI4VF4js/lrZzUR9pJK7LI8tXKosvlyXXmVHUt2h9IY= CrSGOKQvRtSArqWVSzXJCqqk4s80TL6bOMly3LszGYUNdXQwZlmooKqOHKqX+CZ6poWGucRq8pQ= I41GPYnUAJZ3ka8bVa5H9yc8tVOFReFRUX0RUVP8tMx6t9yd5sbxsOKbC4wTI9wLsBTFlCNCV+P= VDU8N1gyLJkBUsgpv7MD0R7BdrnuRF7eHM4FjUnEMQxzGZElZxqOpi1xZiOlOSQ8DO1xGrNkS5S= tVV4b48o5O1OHEcumjdQ5cfwbdPFtzc0zC1xKhFUHq4Uipr500ki0H4ypGkujCeMcbwytO4ZuPH= 7OxvojufOvpeznPMo7Iwy5RTzI2Y5zk+U5zX0uY02WVGQ5FmFSIc1zmOuq45IIny+BiwZo2vrAS= zlHXSdlKvIMoz9s0zp8tq8uyWKtrqeDN6aolyzNKmkVjQ0tZT08kU3BqpdGqPjaBsJS8WpWZJO9= mfmOd9UG3HUfa9Sm6FLiSUNbku4G1MfMLAfnNwYIYxWxq6SCb5WHjUyT4hrOvYF68jUACtAZzUe= R0o7w70Duz7V9RVSOnyKwZaz9t7ibOrG2GX09UVxZ8dIMaYWRLLXQSxpazxh8F0ZXeK9CdiLp9V= 06bgSi1VhWdULo822x49vUwn4pRulS48mhl1zrd9VYmPIlRaudbRbgPIlb8oxobLQktr3DIgG1+= 31HvR7QHAOojbndi9zKv252/tcc3Bxq2qLasqsdsWY0fGIRcQYcXkIdbe2JjzZlKhVIEwzyQkKN= z2i927JZPBnGW10lTmE0eXZN2enq0zMUstatVWxUn/llLU1MI0U7ZpMihKiQiNmJAGpkGM79Jv7= QOc1NH2Y7NZlQdme0mY5vmeSdluztPJJQ5VmWQZHS18lXmldky0vAmzSTL6OuvXx1K1E8tHHSvI= 3DhQiUvfzdpdktrci3H+Sx3CUa1jVhGkeVCRLGziV/iFP2u8McfzPjP9OVaNycouozW+1Qz42Ky= NyInTDlUzaSMZzCbix7GudALDY8oyXsOiWwTIpmOtUJSNtQ1y+NHG+XGjniIkhV09rVmtrtv7Pz= qHzqow2/3AsMXxivuBYdi8WXLv73yl7WvLDq48GHPkkkuF3uYgoZl5b6sVPVOTvDOt7bDH+m6Dl= MfYXqCTeCqxgNLC89jW5hKBBDw6NhzHWG3RNvy2b7plPChsJWQZzqIlwCRYQ7qujWEmLrPi9hvb= kOW9ha3O/Ty/LEEjm3eNgN/WuN+Xhbbn346O5HtdJiWMONWbPRLepmx7uXFs42VRWSbSDjMeFLy= Wzx+lIvn72rx+NYQz206M4Y4zC8jQ/Y9EwtR7ZSHeSbQ1XtTGl41RiDKtb5L0zCQauVaspIuRGq= jRBm/BiVbEFDj3A5JPGccBmxfLPUzeQ+m69t5IG2NNuLTdK28VVUYUHKsPqNu5dbkqbjWFffV9P= T5XIrQLtLNm0tdmcGuhumiDbhjsUUlkQgXOJ4lOUdau587a3ENx7Xov3CvsXqUh11JtDGiXz8/x= 2rFaPswUsx67Txr1tCGwAGS2KK0nJ4Qo8YzxxRsCvJ1g2uT42Hz+X58schW66jtfawBb8zz8v8A= fHX7B9sM+RbRIcvZh9dX2PgurZ8m5OM0gcmOkuISTEJCGOIKcFRsAQEywdGlS4EO0FXyZsYRZvY= 5/MRgnRFapQCNwvC9vijaRE/Pxzxr83CF1mb1hstlb+26VN08jqNxL/FMZqsaiPvrK/27i27KmF= EmZfHHtfBsWw6RZiLKFLs1WZY0IZls8xYtbM1+kRWqq1dermq1ywIqua7nuaqxxqrXcoi8ovovK= IvKe7XYvYX59b46QHmb8hsehsO7u8f+MJRM3xwqFZEqzS5ayGfIqjeKEr48kd/aXtPWHjl8RPFA= adjlqxSI1qIMQytV4itcqXUXWds3f1eN2sOfctFl+TNxDGo5awCyri+JWxbUEGGkafJjFKeJLE9= GpJ7wk7xSmR3sXWw1+zeLjucfmZLjEqzssQhOpcdvYsuT5OXSgPYnqBXNayQJh59M2zmNiSJEeS= gZB5EwBAEkva37A6fdq5T2167bwaynqTjk1nc4oSDto9ZHoGWVcOPIVIZW1EGMBZjVZKP4YCK5H= scqreIEKwfW1ytidJ06dVyLW2tbkefO1x0RISSpXSLXv08rczfri7fdUO1mNwi2NzZ2UWFHlCiS= ZDawpBgIa9LjjXlRhHOaFtmF7CFRO0Yf7Z3DeeMtjnUHhGT5hCw6qbeElWUQEmDbGrWMo5JJEAV= mKEKe2URyzHQDMkoNYyCcxV7TOVONeh3TltER2QeZxUM0eTTBzraNNlS5cUhhvKXsjxzmeKJHIc= 5ZJo8Zowlkvcd7FIvdr343sLtjiORQsooMfSDa1tbFqa9UmTCQoUSFCFXR/LQCHdEFIZBAKKslo= kO4I2scRU13/DC2AbUOVyCOY/PvthFD39ZgR4Dfp5deX+5wqssjGKivc1qJwqI5yN5X1445X1X1= 935vzrpp83q2wSBu4HaiVj+ZhEXLo23i58+nazB2Z/NqflqJifyi+S2U+aaE3w2SmQ3wfPK2D5h= DORERj2km2G9u6uA4BR7I18ufdQcqvrS1bHsZFYIcaPgWTtqiGPFs6sySW3zq1Kl6mLHDbLCNLC= +MMiJGxd7AdWz85p81nbZ7iZnnOJ39HubjOQWdlUjrzw8ZnxbeqqrF7MnbGZcvxQBcLlYz+D5mF= y2UuSuvlCzxEzmY5lWQVDQ09HM4jaFjKI3kSZJAt4kCoSGU31Wve9iU9Un3DsD9HnZLO8pjzXP+= 1uT0suZU+aU8WVvXwUVdlNVTzLT0dfVieoiSWnlID6SQyRkSrT1QDKnR+E4GN+kUbe53De57UVV= T04T19VT9evR44f8AtGfUn95Pr44/Xymub2Hsf1mY6/E8C3dwbczcYWP1W7d1j2UYDlqnisz3dD= G9v7fG5llbT76mnRPwW3Bi56/vKKTGpYNjGBCGaKgWtlEZh26lOfb9+QVl1Z5JGxvCfwvyKg8nP= DOySvqY8a9sVDYC7EMazGcyhF2gUSBc3hSEasmkzKWoB4lDPT6QgZZAwZW0jWLFALI+pV3s6rru= oKg0faX6O8uyBqdabtpkWdic1WiXLZYZYJIYGbgVEbrWSylZ4gjyJLDHLDJIsSpMQ7I/Cys41bB= lT5JwgjRAkOYxiNYJgxtVzle5yojUVE4TlfeqJ9emi33UBMFZAe+0pMaiS3OHAhkcC2l2MQo3kF= ZCR7YzwyGcMYkN3IGq9VOT0RVXo+P20zC7Wtn2su5lWkJ6iJbRIUM0dpRjckd4q6OITSCVHK1yt= K5huPVzWpqKHcTYjK7TccmTVeS5bGFMhpWSotFfgrrEMgzjJGSbNJWTY005Wtcr4o4secZ4+5q9= ycLrslpKaqSreUK00aaoYGaKPin1Do4st4UIBZtTgrdeGLMwOPMxHEaoQSVSwwXYPVCGWVVstwR= EAkrBmstrAgm5AAtiUjbbciRkz0qLcEaPbR4MaV5yKVfI2yFRfGWGwrRkQgFRrpAWeMwSEZwVWq= iaWdHov+a+n5/hqMef1FbbdOx9ty7rPsq2uHR3MVmUgZY5EMJI0WuZJZZVsCAOyFYSSo1rDCr5D= nJz5hA9yPXNJ7Uro6PkePY3V7h21sbIn9gLODg+ZpTwnqJ7xCnzJdJGUJDGYkVqMCRGGKPxHMGr= iNbqstnE5NNTStEy3uiM6AhypsU1KLgagDYjfbniinz3J6SZ6aqzSihnjdVaKaeOKQB7FDokKsQ= QRuARc2viR5XsReFciKmjvb8f+P3ajeD7UnpARyss89saYzaQNs8EzEcrkGSer7Js3Gmjr6iWpb= 2tZXePJGNXQiimRUiTJBHEYzNj9pX0mSLSvgxNwTyqmzSWAGTRcZySRWtuor6pPwedCDVPvvlOS= y0GQC/JCRHuCcCyUOzwljGgrxzo5xsTfhyW2t/o8f692Gh2m7PnT/51llywW3pcNyxIAAGu/Pa/= IbXxIN3NX6/+X/HSN717v4zsdt9kO4OTm4h00KQeNDa5GnsprBqsaBHRV9SSDeGLn17Uf3cKica= SzazrX6c95MuiYDt/nzrXLpwbKRGopOL5dTzHx6pS+cO91xRwowRtaFxGeMdhCDc1Wj7nNbpqft= eKzIBdMAs6q402ZR4Dldda50KCKRIJCw+YiRbK+fEjo40iPRGZGmS2jY97InjlQbuxUWurxUwU1= QUjZKhYXaJHFm1Bdtjz3tbYd+L3J6nL8zqqXh1UE9G9THFNPBKksaAyKsisyEhWCk9duowsG3dV= 1H7q0cLcXKc3Fhsi9EO3psQgvkRaqor5bUPXw5I4pBHnykA8fmZUsrvEIrvCYxqcaXXbzc+3ddz= dutxY0OszKrJFbDlxDPNWZLBlilGiz4BDKpPFcyDKacLnOcwo3eq8pqI3pq2i2k6i9uqvLYHU7k= lJaXra+bLow22PxoYHhcUr3Y7IKJAW9e5JCGqbOGQ0qvI1jVcE4XDTZdmcRxjbjqi296btqtz8i= 3hyKjyKTunuhcWdpFvZGAYLWVF9FjwsjsYLXArZ2Z5dewPwfopBWz1rae1mujijKNq5CCOvWqyu= ppZ6tlmmUV0U1XHPTyU8kT8QtTlNVPLHLw5I2RwbjhvqDbeg5nS5DHQ5jF+8IJ6mAIaOnhyaoo2= SQOupRWszRTRGMMj8RTxb8SMqy7y49QOa3e3my2e5njRIAb6hx6RKqpFkHzFfEnFKGICXLjq4fj= R4hJCSSCc9jCNF2PcjXKuov99YOH4zn8SPuDm91uZkVrRvv4WSS8tnwK+dentZIVxTGqrFGlrca= SqhDglhwnsiea86kt8x6gOrJH+qjGLHMenTd/GquqlXE6zwe3YKpgOVs+zZGG2bIrq9UVqrYTY8= Y0aC1rmq+WULWuZ3dyRpbn9E/Sfk5dr9wsNnxUoM8sa24tbe8zfJipeYw5sAR4uNsXJITay6CEn= hyEfGR8aW5YsoYyuMxl3mP7weWOKkjpzEYwXaapenCtq2ACxSg3XYg2I2tq5YymVtRrqeoSrmcN= ZKeloxVNMrJuxvPC44RGshSTpUkkWw+nY63yPF9zYm1rtxH7g4bYbYWedU6XEuDcZPicuBkOK1X= 4PzckgvV91CGy+loI09rpTPKiG0rhsVFeLMaUgntARBlcNfDere5Gu9Varm/WiL728pynPHrxqP= fp02P2w2m6h76u2cg2TMcw/aM+MZbIm3lheir8nyTKsfv6miSZPlTF+Ug1NTYTrGKwziQgy6x0h= EbNjK6RL/AHf/AGf+WpuXmoNODUokcmpwVjlMyAKQFKyMkZbUNz6ux2viFViETt6O8jxEKVaWIQ= udQBOqNXkClTcD1ybDfCSzc7lUkkdbfQRw55HuSKVXqOvuBN/+r5RVQY5bUTlYUlzXvVOBvdyms= 4TOsYix4EmfbAgJYgJJiClq8RiCErGmIgu1XdonKiPeqdqKqeqJxq3mlQ/LK0tECLGK0zu00+S1= CDgfUpIzfRSS0Tnwla5Gjd9Jyqqduk5yzZyXdrjK19sBiY9RzKVUtY86S6SyWsZVOr4NhXkaVvg= f3XqRio5OU9PWh7SzdpMvo563s7SQ5rVj0VIstmIS5aoiWonSXjU5CpTmRmiZ2DsFK6dw0rLY8u= nmSLMZ3pYiJS1SgLH1YmMSMulgdc2ldR3UXY3NiFnbk9I9KtG21eq3jVWnTzIubJrReO5Yicopk= QPD/oc8IqKvvTnwlzPGR2a0ZLqA2zacMR8TxU8Vkw6DeGK/hFawxWlErBOcjnIRion02IqNm2Ql= SotW0uWWMWZjtPU1lASFEjjDCJUuDKZNeMrTPUkixCwkhBEEpobBxCKrUc5b8vaK4lZa7Ix3ECK= M97U3cpI0GwHMM+vSvSQFVZZpXkdMZA8u4xoJCNjlRquc9jSJnJM9+kIRxMnY+nV2rKFXHptPIf= Q3p29PayVSCOWKqjHALmxgmjv6yyWnLQ5Dqa+buQIZytoJEHFWRDALtDZg8LMWC7q6PvYqCrcLM= can2T6mFdQ5VgI54pIwSOI5kmK5zZAHOa3saQDmPaRnfyx7VaqIvpqrcOxyqowPM7XBqyHdZnW4= xeT8Vp7EhBQbTIIlbJPU18sgVQrI8ycMEcrhqj0aRVaqLwuk2wvbS4w/I7ayHZVkusubu6tThJX= z0sRNtpp5yBDIfZPhDcExkYpGQkeQbFR3LlV2lqtbCFUVk60sTtiwK6KaXMkva9zARo7FIYz0G1= 71aMbXPd2tVUairx6a13ZuszytoZJc/wAvjy2tFVOi00RLoKdXtA4l4sgkLxgMxASzErp2u1XXx= UUMyrQ1DVMPCQmRtjxCoLqV0IVKnY31DkQxuQID+kn27+xWZdHO6u+HWDf4TsHvX035FlOF79bN= utGxMgiZRQTTR66Ph+PW8lLy4DkTWiFWKIZ0cbveQjBKiph/Z/8A/SJulzrQ3Eyra3cbE8j6Rsv= i1L8w27BvtOi4zWbnYArSmFklBa28eniI/wAoNst0TvMwscniRZBmsfwlPU17Mf2L/Vx1PQerHc= NLmyy2RNiWeWUGDGzCNge515RP8eMbLcfpKsvn7QPgjbKTsiNni8FkpTsI3uU3rl6GPZLe0dodp= q7dkNzhuQbeQoeNbf5JttVZhheTVGMKzwR4xNmVlC+AXHlFEONjpqkiQ/Am+BKC8UlWaHELDmvZ= ue0izv2he9fWHZYdgVFG6PNmM/rNs9jd4Iz7BLXdfIamOdmeWIkM9a+TRRJiRHVsuCxvDJKxzOe= YT+2YQn9x36NMi6McN6V+njbvH+k7parolDiG0tOgA0kSDaDd2ElkbLt5ltaRwEyCda2CyJMy5A= aeOXJcdyylc1WtdhmGfYTgkSHKzTK8fxWNZzG19ee/toVUKZNcxxPLx3zTBQr2CY8xezloQseYy= sExz0LFjpUFmINlUXY7HkBcnYHocGIresjeXqD3M6sNtOgbpmzgGztzke2FtvZvNvQleG0yDEtu= IF0PHKqowmFKVYaZDf3biAdOkDK2DHY0rWKjntWP/q16ed3+nbI8CBuNu/ne/kLce+xrbXa/c3c= HJiV+QYpuHkNyJIMY8SiDEiOARyIsWR5deOXDM/t45k36y+kvejLd59sesXpCzTFMT6kNsMXtsD= m0ueR5Mrb3dvbC8lMspWF5QWA5JlesOxYlpTW8FHmiSSkd2KqjIJvEDY/qu6jt8dqtzPaF5fsJt= Ztt06ZJXbiYjshtNkE+zDfZ8iHj49lec5FkhY8ocCAUZiVNWEXgSZDSK5yqJdezdiu0y9mRluYZ= Y+R+iw5TUxZvQT07yZ1PmhklcGB4o1zB+PItGkBgqY6JKcy09Wg1TLLle02Q0naCi9Brqipp0FR= FPHNTypEvqavVYyBo2HDZyVZSyuBIhDKGEye3VTdUOEYhS5JP+VL2qx2ogW9kqq7zthEgADLkqr= vpP8Qw3u73cK/nuX1Vdajuz1EbLbHPp2btbl4lgbsgKUdKHIbMcQ89Aq1JBwgRCG8pG72+amvGy= JFRyKc40XnW1Uu5GAZBNj1NDmeM3NlLjukxoNbcwJks0ZiKjjDAA7yOG1GO7nI3hvaqr6aazuL0= vS9y+qN262SBpLHb93TxfbSJXTo7J1nFvMgvJkqZZwYsuOaHHYlacTPMI5TPKNrHDVjE58yy+mo= anNKl+0UlRl9NwKyudIY0gnmnPrRUtOskTJGZJHsv8NkVVZQL2xfxMgp4kpHSdIhHAH4gkAEYVC= XdSSzAC7HmTudzhSKDrK6X8oPk0bHd9ttrkuHU03I8j8jksIwa6grmo+xuvMtekeZVwGq1Zs2CS= VGi8ohyDVeF2jcHqW2J2s+QGbjbuYDh5snECVRgu8ir4Z7CFIajhWIgvMpR1atc1X2p2DrhI5PF= lM5TUYvUZ7MCzu9tdoNstgZeP0tXtnsN1C7RSbDIGpCtr0u5+EwaXGD2cyrgok0Ma5hukWClang= sIw4Bve1Wuu4P7PHqKh7kb155Y76YvjcTcE+CU9BVSdsMH3NPCw/E9rsPxI9S6yzminyKuEbIKy= +mDqaxw4TmzPOER0mSfjX/APT30eS0610Ha2phi4NZIcurYSte0kWZQ0FLFxaWhqlieopXkzQoa= WUQwx+jGRpDxsJxqkEqYA3KzoTp+rqJs1ifujrq2NrYkW3K6uum/aOVjELcLd/DsdlZpSyMkxQT= pp7JcgoIhYseRc1bqiPYtlVgzTYg1mjcsdXSQo0jvEbyo21W822O9lCXKNqc3oM6x+PPPVSrGhm= JJZCs4wxGPXTguQcmFNEI4CviywAMgjDIjOx7XLDn08+y73VxDLqMG7u5fyli2K4J1J4LS5Fgs4= 2NZTDrNzupOh3ZwOLQihRAxsYra3EaclLOrKtwokFp/kqvY2AjeH1dF/StfdK+R9RNQ6/NkuA7i= 7lVO4OD2V3ONb5qp5WH1lJlA8rt5ARmnEbOp4fyU8hZCigr4COY0fbqJnuR9iMuoaxMp7R1Oa5r= SLDLDKsYTLcxR8zelcQRmnWeCVKMw1oSaZrrxbhbBR1FJUOyl4lSMmxU34inQGuehGq689rHa/N= +mjRo1gsSsGjRo0YMGjRo0YMGqCIqsVE/0mq19EVfhrykmRgoilMMSKqoike1iKqeqoiuVOVRPV= U0YCQNybDvOMBbYzR34mBu6iBaCb/dZPiBksavxRDMfx7vT6vgnv16q+nr6eOOLVwYsGMNU7ARA= DAJqc+vDBtY1E/Sip6enrrIfKlf/wD3kb4/+fF7k96/39C2len/ANMjL/8A9Af/ANfpqEmV0KVb= ZgmX0a17oI5axaWIVTxg7I1QE4xUdAXtc8t8dmomaEUxqJDTo2tYDM5iV9vWERYxgnc3CDn5aRu= Ztjim6+ONxnLRWCxA2Nfc102os51Lc093UlU1dcU9vWnjTq6whvc9BSIx2OUZSif3DK9qt+P0Nb= ASKqwqy1WVPJcWLrO5uXZpkz8huDysYXDrYdndks32MuNe4+8kK5jlO4c5SvORPHVCI7hLOAv/A= NLjf5HEv/4tC2denvmRk/ScSf8A49TxqHK/kfD/AIwxaI7nQb78xysOX9b/AO2GVzfZ49NE8kp8= jHsiVszI0yaQFmYZEMLpo/CUAmsHYNQceOoRoxB9hnC745TEjEeFdqhdEHT3XZbEzWFi02PdQQY= WKOo7y2SG0uAix2Pj0x0PzXgPmCi4pRxZZnMVZgYjkOj3SJDiuuHPiFVWiOIqp70GRj1T4c9rl4= 5+rn3/AFauLIEn+8ifpXj3+7Sam5Em/d5f8b/HAI05jSRseQI2I3v03H5YuMYjG9qKqpzz6/V+b= Xjs4USyr5ldOAOVCnRzQ5kYzEeKRGkieE4Ssd6OGUT3Me1UVFa5UVFTQ20r3GfGbMjOkDQavA04= lMxDd/gq8SO72+L4ZPD5b9Psf289q8ejzAV/3k9f0ev26Q25HqOR7j7+huPPDisQQyMQykEMpsV= YG4II3BBFweYIwzbp66D+mfpdzLMs82a29HjGT50Yi3NiS2trVQxynfKJAqQ2cyUGqr3He8rosA= YAqqpyio1ER3LoACyBneAbjD7/AAiqNvij70ahOx6ormd6MZ3cKiO7W93PaipkVML05X3e7lPd+= jX1phu9zk/N+f8AR8dNRQwwIIoY0jQEsEQAKGJ1FgO8k3J7z7sWWbZzm+eVj5jnOaV+aV8kcUT1= uY1c9XUtDAixQxNPM7yNHFGojRCxVVAUWx9Y1BojE5X3ryvw9fh+fn4e/VfCfBPj7vr+OqFKxF4= 5/P8A5aqR7XLwi+vw9NO3HfisAt/i2+w/U/1tirXxeE4549Pd6e7/AFxoVUT3rxrAZRcjx6itbw= 0SZODU18uwLErgtkz5LIgHneCFGc8fjyiNGrQh8RqkIrWIvK6Ljfflz8Mcu6xqzMQFVWYk7ABRc= +QxnUIxy9qORV+tPevr8U+/WjZ9gGK7kY9MxfLaoFxUTmqhI5kc14n8KjDxzMVpI8garywwnNei= 8+vCqixEbQe0Zbk3Uray591fXuzm8Z6PCNkdu6/ELBM7xrN8bKeLnsrLqsowrR10YisdKnS5x4x= VG98NHIx/M04Steo15XlWovHpx6/UvvTn19ePq9y8ahzwUWZ009LUww1lJUI0VRTzxrNDJG6lXR= 0cFWDLe4IO29t8VtBmmX5zFOKaSOoSNzFKlg6kEBkYixVo5UIkS9iUZdSgm2I0r32eEq138od94= fUNuvUWWMNhQqChiOo1r6rHYQ0B+C8bxK1wnUkqN3gmAkx5BZSFKWQUh3KVXubTbN4BszRmo8Fo= hVQZpyTrOUquNPtJ5nq4suwmFVxjkVyr2McvhiZwwTWMRGorTntGnLl4TVpJQHf3SNd7vc5q+/3= e5dO5dAmVU1TQ5e0lLSV0sU1TSRTTCCeWnVkhZ4jIUYRKxEa6SEvcb74ocn+j/sjkOaVed5dk8E= ea1lXVV0tfUTVNbUJU1yQR1stM9bNP6GapKeGOcUYgSSOONHVlRAKTxQyxKKQMZhOb2vEUbCjen= Puex6Oa5PRPRUVNeBMeo0RE+SKr0/8A8dE/layzSNf/AHV59OdV6fxs8Yb8HqP66eq/+7oaf/kr= o/B6j+qnqv8A7uhr/wDkprM6NGDGFXHaTlrkqaxrmORzXNr4jVRUXlFRUFyioqIqKnCousyicIi= fBET9WvurEiSCIIh5JWAAEbzGMVzRiEIbVeQhCOVGsYxjVc97lRrWoqqqIi6RmVQWYhVAuSTYAd= 5PQYMX9GtVg5zhtnKr4VdlFDPmW0F1nVxYltBkSLGua5WunQQiO4kuG1zXNdIA14WuRUV6KnGtm= QjV93P2ffpmGqpqkFqeeGdVOlmhkSRVaytpZkJAOllaxINmU8iMICDuCCPAg9L9PAg+44uaNJFu= hvbt5tATD2Z5kAaP8OsnhYjjiEjSpLpd1ORVGwiRQm8pDE1EdKsZXhQoiOYsg40e3nZIOe0Vnl1= 9g8KSQmRY3XVdrbRnRjsCCFctI6vKyS5iBOpUE9XjER7hon0+3lOejKgJUOlwbEG9wbXt+Y3/AC= 8lxu7mIv8An7/TnnQjUT6kX86prStus/xzc/EqvN8SmEn49dMKSulliSYJCsAYkciujSxikDVCi= e1EINqqiI5E4VFXc3FYzlXLwie9V44T3+q+vonovqunAQQGBBBAIIOxvyse49MGPvY1eeURfXn9= Hu+7/XGvqsav1fXzrw/K1asgcRJsVZRmEKKMhxKcoxK1CkGJH+I9g1c3xHNaqM7k7lTnXsQrF9U= X7U+/SkEcxb37eH9dsICDyIPuIPd3e8eYx9exHtVi+5fenH/LWq2eHY9an8ewrIskqMRiEIJquV= rXdzXLwiJ3sdyo3/3xqqq1zVVedqR7V9y/an36qRUcnKfHjSC4JKu6356Gtfy78LjWUxylQIYr6= qCSPHajACLECZgk9Oe3xWO47uE7lT1Xj15X11SzF8cY5qtoalqt/uubWw049UVFT/Z0444T1Tjj= 3prZXFY1e1V4X/L/AJrr6hGqnPP+v+H2/p13rYfbb3ljue877k/rhpoo2OopGW5ksikm3Um19vf= boeeNYfiuOPcquoahVVeefk2Grl459efA4RfVfeqKnK+/n18UTCMSr3SXwMYooj5kt0+U6PUwRO= POewbHzCuYBO+Q9ohNeV3JFQbUV3DWprc0I1V4RfX1X9SKv1c/DVxFRfVNJra59dtxyubdP+OZx= z6PCbEwwk3vqEag28CBfxvfoPy12PQ1EQ3mYtXAjSuHIkgMMAjIjk+lwUYkIndx6ojk5RVTj3av= 21PV31TOo7uBGtai1hyK+zrp0ccqFOhShPBJiS4x2vGcEgRHDKMjXNc1zkVOPdm+E9/Hr8dGkO9= r7gCwBN9rW636X25bnbDixqmyKFB3NgFOrbe6gd3v25nEGOdewW6VrjMrPJtqdzuo7pzqMgnnsL= /Bdl90plBhc40p7iSvK1FjCtlqBnV7kdHrDxYrGqqAjjX11Iv0m9FnT/0X4fMxLY7ECVJLqQyfl= mVXdlOyLNMztWNVvynk+TWxpVpaSPpOUQyHbFjNc4cSOAfDUdvo0ysESFmRFRmNyQo59/vPfiQ8= 80ihHldlAAALG1ha3v5df9zi0QSGajX+ievKJ9fPpwv1KnH1Lz+tNNXyLpVw+xubC0xTLdxdso1= 9YSbHK6DAMjbWY/kcqc9CTpbqubCsQ47ZWL077C6w9cdu5hFUkixIRGvR1uqHPYP+96c/bpxkVw= A6hwOh+dscJI8ZJjdkJFrqf69+NLwDbvEdssfBjWGVAaeqEQskjGkNJlTZ0pyFmWVnYSyHnWdlN= LyWZYT5EiZKKqkMZ7l51ur2o9FavuX/AF6/m0gu5PUttDtfbBxm/wAmNZ5pKAkmHt/hNHe7gbgS= 4znKxssWFYXW3mSNgueisWwNXCrxuRfFksRFXSeN6pMwmOcSl6S+pi3ruxXgsS12z2Leabxy3tp= 863hxbI4xHJx/YT6WGdqr2vE1/LdKAAANthYWFgBtta57sc95uSSbknck4d0MLRc9voi/UiIn+f= pq7wnw0z//AK42JUSNfurttvXsnGVW+Lc7g7cT5uJQWuXt8S3z3b6VnGCUYEX+9IuMkgganCuI1= FRVdBj2VY5llNX5DjF5VZFRWkYcuuuaWfFs6yfGK1HDPEmwymjnE9qorXiI5qp7l0uDGwcJ8E0a= E9URfjq28rB8d68c+5V440YMXFRF96Iv6dWJUWPNjSIcoI5EWUEseSAzGkEcBmKMwSjciteMg3O= Y9jkVrmuVFRUXjVsc+GVysFICR7fRWMINzk+r1a1yqnC+irxwi+i+ur7zDYvDl4+Hu4X9C86MGE= bJ067GFRqE2nwB6MSQjO7Fqf6CS2jZJRnEVEah2BE0qIn02jYjuUaiJkIGxe0FWw467bfC4TJTk= dIbFxyrChnNCaOik8OM3vVASDiTu54YUjU9Hu5VLzAv8SJ+nhP+eqfNAVVahGq5OUVEc1VTj3+i= L9X1/DRgxo+NbXbe4XYWFvieHY7jtnacfKU6mqIVfKneqKnmjRwsIZEVEVEe5yIqeiaTnerYuJu= 8Wimtye5xS1pKbMcXSfUw6OySXjGfxaiLlVYWFkNZbQAyZLaGqNAt48cdnVmjPSLI8tMmx5Lg2k= a5Fc31ROPX9Pw1Sphp/vfp/N+b/Xp+fSo8kUiyxNokQNpawYjUCpsGupupYG4OxwXHW354i/xz2= btVWpWGt9692pbq02RC+Sam8bWUB6m5nGJGikh+EQsmcGrcCmsLWceVPtK4LIkozhij+Er8volw= ufGYKZme4Ml6jhwzulW8c7TU9UUBainUL4SiFFqljsbEIBg5KMcRrjOQjuXwtMxyo1F5VdXdW47= QZyr8RK+RHAZSUjhT1WcuVOlAfrENe4NwCLELaDV5dR10aw1dOk0SNrCPqsHGwNgRva43uLEggj= DWds+mXHdsM7LmWOX16gpQHxpFNPZXS4z2Kx7WOWeaE61c9ikcqPfNc97ewb3OYNrUdNo0agVdb= V10vHrJ3qJQixiR9OsogsoYgDUR3m5PU47o6GloIjDRwrBEXL8NL6QzcyASbXsLgbYNfOE93Ccf= DjX3VLnoz1X69RsS8VcJ8NGrKnE1eHO4X4Lx9+vnmQ+v009Pf7vT7dG3n+p2HwHlgxf0aseZD6/= TT09V9U9P0+uvvji/xaMHPli9o1baVj3drV5X60+H6dXNGDBo0aNGDFL/AO679HHr+f0/NqNfr8= o8fvvmyj5BRgyRkKJudbVFLIom5Skq/r8BtzVSxsYfcUY7+cM3KxK59nE8Yq9rTMdw9JKHpy1U1= E57VDpP3u6pcL2lqtlK6ssbbDs0tLq4HZ3sCgQdfNxe2qRvDInkEM5ElzAdwWKrvD73oiccpZZM= sD5rRrUVEdJEWcNUyj+HDdDZm3AsSAtr3JO3XFdmvE9Bn4ULTyaVtCv1nu6AgczcAkja22+IU8a= xXbi16U95rXIqfGA7jMyTe6TDxZ2P2OP7oObRrj7KIuMMFlJx4tCxh8ks2zoPMW6rDdIaFxWMcR= Mpju2/TefKGgzWRKp4/wA7WwNXRhx1rbYNm+62ti2V1SXHmshrkg49aWjnyreWDzT2S+FWM5znc= YiR7HjrnKiudg2FOeviuVfw4w4TvHkjQMw/jMN4n+0DREe13cjl+k7uVEXX0fseeuhDoRcEwRwW= AAg2LmuGqRsmOxoRyFKplVSDE3sY/juRPrT1TXrHEyQ8Yr2ppo+NI7kJKgKK4hCqup/qKI9r3f1= 2GoWAx5/wszAivk1S2hQtyjsG0ljqYBB6xD22FrKNr3ONSwHZ/FMHoqDevcGDU0ezdnvPt/U29h= l2d09+lhHBm+WpkNhW1UaYW3xjEXUI6uFOg2nY2Q+M0rWqi86W/KI3SvkOeZBgeI2G3sK7v+sum= u8UdGKyQGN06ytp5V4a7jjcZQlwGLKa2xkIq+UdKCgnr3uVipi32NnXM5WvNg+Ek5GjSxX5xh5o= KvYR5mPHDKdQMXxSOVy9iKrOG+qJwtuJ7GbriEhCHwbCXSpIGDOYGb4eJwlSMOM9sNzjPfHF2AC= rQtejEVTKqf2rue2fIZJONL2opeMFZEMMyiOzGMRF0kmcyPHobiEkKwYBbAbcRx5pHaNMmqQjEM= 5dXLahfXZgo0qwYBR0F774fd7FuFhFDvT1KYTh19Cy0mI7c7RRMmzjHdwJeeYTnV3Ju86lDybGF= mwoJMebIglDFtaB4TrX2AChZKIxGoyTvq9uczs7bbrbHDb2djbr41nkttZ0dhOqr58fF3wyV8CF= NSG6mfBsJ8sUe4iWM+C88JzkC9zUIrWbeyi6Gt/OkrNN6L7d/HMaoYGcYft7Q0baC5pLR8qdjdt= l86zNLFTOc0SIG6hNEWQ1ryqj2dzkHqV/czbcmaJSWMMzY91jsshYbpJZzq6RBnsbFuYkqvjygR= pppVepRQSTGnHBlqOU1ncxecNmNfQU/a966GeOupo4YhFUuEmiap/d8aJK4ZWQolSQTGAyoFABY= JYzM7yTNM47DVGUQ+kUNTUywmojpZHgqjRpXxTVVPFOjxyJJNSJJGrhwzE21KX1Bnl3tPmWN0Ev= LMlyCruRyY0Q0awhMx2ku8Om14rENdLxErKEbQT4rLSWCASys7Va1OxzxS3ulNLrW0m+ee7nUGE= GnT8lfhWM3Wdbd5vk23ldkV1dFyfFnigYxIvZNxhtdZFSfBVk22tKmiSmLfq8A5T4XCLrO6/RXv= 1nkfN4eBbqzcBpbSobNxXBchDIyrH67Mp6W5rCTeWcy+s3yqQtk6smzaupqw8DQ4ID4yHe4bxel= 3pxj7C7EYntVcWM3IruP495mNy+5vZ8eyzK5Kk/IZtSa3lmsoNOSxcV1ZWKZoYMbtAIbWpxqHWV= FGaYTTT0lRVSSxxiGmgEfBhETBpCoUQ6whVQIroZEDE3uzTsjy+po4VpaRMxSmjjklMmbVcs80s= 8jxSGPjSq1SI2l1ueNqcK7oulAsYbo/efqexzIrevq8BusmxgdjKrKq0yTHbosoYG31xHjZBOPT= VMAroRK6NUNfXgriS44575yOlDE4a3KTczqWw6uybJ7DEb3L5dxu5kNHSUiwLqZFrMMBlc94LB8= MNHVyoNauN+WZQ3KnsGzFY18+M1/L3P8ZgdAF/ijjS0cj0IirZ2Llc/0XlyLKVF93HDkVF9yp66= ofgWPEa5j4UlWPVvcxbGwVq9v1IzzSNa1fd2tRG8eiImq81tAdvRgFIQPaA3fSQfbeqTbcrp52t= i19Ezr6waPUCxjvWMQusC9rUguNhbVqI574Y/8+3UxJusMsgbbpDpLuplByuml4hlKmwW3dnW3F= PNLY2HLG3n4OYvdZfeRlq0jw8oj1qkgFAKLIM1wPT3uDvDuATKJW6GDwMFjVRMbh0sAYLZs2yLP= w6gvLqx8xYMEB8KNd2dlRijhEsiKaqMKc5klpBMWB+C4+ju5YstVRGtRUsrBOe0TAtVUbKRHOYM= bUR7kV/Kd3cruF1n6mojVARxIInhijV7kaQxjqivVVcqPO8j15VV9O705VeE551FnnpJItMUCiS= ygMYihUa9RIOtrkAlTcbjrc2xNpYcxWoDVTLwtIJC1BlJcKq2KGnjCrezGz7HoN8ZcnHCfH6v+e= mJ9euUXkbZubhOMVsHIchziQGoZj34XmwnI5lc96JMlYjdBT6N9A5aeJHevBnN7eH89un1lT0T6= +OeE+vn83/dpmu9Q8MvtyKKjvM2xckypiCtzYDe+XSY3uV6QrurkPQZYklHje1qqdrC9vaiO/u6= yXaKszOjoC+V0LV9RJUU0DRgqOFBNMiVFSwLoWSCJmciMvID6yxSgaDz2homzHJswy9K2TL2raa= SlFZCYRPAJl0F4ePFNEZAGuA8ThuRUiwwwLdHZW5j9PON0tLJ3JyTJMSr6W1dAj5HAxrMswkQSj= lrRZlmQI7CirY/fIW7lh8MssEXl5Gu7XNlX6esyLm+1uHXE1aFtolNDhXEPG7Ul3U1dnEAwEqtj= 2xkR89Yb2qEslU/tSMe/lefVvAJFZa2bYk41VOqrFCV5mMsYpwGEcBAmCV0c6qxr+/w38q1fpK1= F5404HYnE1w2mn06X1XZRxzCOg1FNGjRK3H4Tl5DBCILWkeTj1McqucUnc5XOX6Swf3nPB2ioMs= poYZqWpo6j94SpPBxaKogWGWlEsTTRyWnhkZQsUM7sRrYQorOc72ayJ6LM5MxjrKkwNldHlj0Li= H0cvRlnjrFJi45nYOYiBNwUQHTEHZ3Ks5arm4zfvY9wyDpLV4yMcrXseyCZzHsc1Uc1zXIjmuaq= OaqIqKipzrnu6XwbhU3V3jba3Lc2sdrF6TsEzPcShtsyybJC2eVZnh6WESXSV9laz5grY2QC8/4= 9aMAYEMMoL3CAdojdDOQwzWFJawI/b402tnxBK7+4hJMUoRq5UReG9z05X4c6YLN6RMkpcG2Tyv= bmTj+LdRe0+J4hjc3KXgcSpzGnpKaFVWuJZEUQklzqOU2I10LhwXRSsYZFXlzdSM5o556/K6uKO= Z0y6YVbpA7RyTBJIgYVb6rMwZm0NYMsZXUC2L/ADejnqZKWSEP/wBswmYISDIFdQ0YAZQzMpvZj= ZtNtueFa2/6h8Hx7BqeXujmtNi8kp51VFlZNbxIs6zkVxGuktIJ7kewsUR4zH+J/bPa5hXtRX+r= X91OvDKKbcS2rNt7fZa/27DVwj1GQTMniGtpdotfblnwzxEyWsYMLbANRHCZ4xNaOSdyuJ29w3m= 2uyDraC5keyFQTZeR2mRWTo1PBtASSWMB0FIrGzm9wBDVAzHKFzHPlD4Vys9V0xemS05jcbiz08= CU05v/AJKY6nmxthpGcAqKByMY8yebcoexyl+gitYq6tsxmzE1cz0EMBpnKtGrqdY1qpYEiZBZW= LW9QbWHTDsX7ziijjAjk0Kil2Ql2sALv/GX1gLX9Xa1rnnhi5vaFb3ecr2R6nYxa56p8pTS5tVN= lDRxZDVbFgLmLVc8LGxlVSHQJkIR7CNa1OfBC9oh1Avunxp2OdP4qdLvHAMmh3DryGWkl20KPkE= tWrkiKkqBVElzQtQajQwmh/t1Re+QovTlKIslWZkYKSFYrFbi9E7yyNbHa5gmuGvo5wXv5erlRT= P9VRETVETptlxhymFzaRJdIjzRNMXGKBDRySioQZgowPhq6I1FGFr2Kio5XOVeEbqGZc8vtDSEd= +lhb/8AI369PLDmvNL/AFILb/Ya4ta1/wCP1939DhQcR6jNks2uION4tubh9/kFg0nlKisuYkqa= dwAPkSGhCN7nk8IQyEf2ovDGKvuTSr3FZX39bYU9nEbOrLWDLrLGGVHKGVBngJGlxjI3hVGeOUg= n8Ki9rncKmkIwHY2Zhd1Bt5OVnvVhrOVzJFBUQXm821zGclhCa8fl2uVWoNGo9XOR30URGuLG3t= 59OOePT1+pPf6/HU2nFRPA8dfHFqcsrRqh4bR2AIZWeQOGuQwJtpNiDyMynNQyH0lEV7kWS9ive= QWbc9bEjEDHUltrl/TJ1lbAbnbY4FLJtHWYmLD68UKLeT8fxmxa/JY5gXpoA7CfEhHfeCsySisM= 4vMp6IRwlbpZ+nD2oCbj7/2nTlvDgcHbbOEtpNHSSq+5NaVVjaxVcrIRHyosMrFsRI09ZIYjxSm= FEidqkTUu8kbXO7nJ3cJwiKiKnqiL7l/R+dF9y65K+qnaPe1nthcatcS26yl9Hf55t5k1ZkFZWS= XVEiBCjVobeyNYCH5UDYpIchstDkarOxHORWvbz5rF2HzDstmMtZ2PrpKahzPPxmmaZJ6NB6AY5= qaCnqFhAXiQxxpTR+jpCEWIXQAqqgYrtBNXdnHpa3L5JpoK7OaaKoolhWRVjnQRuQwUuqKY10kk= WLWvyxMv1G4bkm5+8mSxL3dLaDbahq9vG4bhNPuJXJkdtOsMmK+Za5tVRIOeYuaklRDxINbXSJs= aS6Qxp1aPsaqPyuJX+9Ozl7VZrm22tjn9xuFt1ieDEdiV9iQpEnN8NSdCAZwr3JK9pa/LK1oLmL= KhSJzoriShy2jQKPdoPUBgO6d/vR1MW2DYVtrlNcm0u2UOcPOsZLdXRoixcoZbuwx74ZIZrOvrz= Flx4RJcZDThAYpGPc1dJ7uBj2426ocMpNpNtM23Gxrp821xk23mVPvMexIgt4DRYNo2xmQ8mta2= VI+T6mAGgkjiMlNgeftIjXq93C7V2KyysElEnE2K6mLWYoTpNwyhAxBUbAqCdwcbwG4Bta4vbuv= 0xJt0xbf321uxmAYRkrQMyCoqV+WARTNkgiz5sg82RFFIZ9A6RXn8BSsVWPcxXMVWqiq3TdDejc= zIeofeXplxilrZ8KF0yU+4GOGAaVAvC5TkGVz8bKOVYMnAZ8kR4bGSnx4zATjIA4QSkKcXa73Z3= Nl3G21xDNCQpNZKvqWFMn1kwLwSq6yUSMsIJxPRqtJGmNMJeE7VRqOaqoqLpmnUF0kZ5ne/Zt8d= tc/zLAMgnbeVm3thMxK7pYD5dVUWNjdxxSo9zS2g3tfOmMY1wlY5HDa96tZ3c7vsyuWcWSOukgg= Q5e4opqpZXjgrUkp5IHcRAyXKJIhKg/XOx54ps7Fd6PA1Ek0pWrjNTFA8aSyUrRyRyKrS2TZmR/= WIF1vfDX+nzcbaXaHfzKse3Cpbyu3Eg7hRdt42YPDZQayluci2nZuHaY3ctBkUjGkobdYMuRh8W= DTREjOHDbM81d+esSYHPvaZZldbiyYe2WU7T7Y7ct2Zhbp0FlvRjuTmuMsNIyK7pWwIQqG3A2MG= bHqWT68jgFcaIdh1Ve9GNXfLOhe43Cot06XKoVv8pbvZntpm13mMbK65mQ0GQbbYzU4lCuqYgYc= YSTbStrpL7VGMAwqWcsIGsYqNTfca6Ri41kk/L4e39U81rsnQ7DFxqVewD1VfiGMPetdMhOJBJz= aSRGew73fQQjO53/nHKm/Wt7G8YV9YsmZVhoKekFPNJA1JHLFBRmWWnFRxFjEkslXFFG0TcFaYP= YvVq0eMFJ2pEIo6UrRUvpMlRxo43WdkeWcJHM0eksYkjgZnRrStMF2WE6tRxv2lmH1W3W2Ftufi= V9Gz/K9u4+4uW0GGQmWMHFsaNYHrwXpyT5saQsGxQKTIUACTbVwHORI5PDV6yT4tk9Xl2KUeW0E= hZdPkVXBuauSjHsU8GxjClRieG9EINXCKxzhvRr2O5a9EVFTUTEv2dsyNGwyNjtVPq5GG4mTb19= uW1w65mZDh4LqVbV0eQHIKC1jVkuM6acYZ1c2PKEB3hqr144lkxGmdQYjQUSR/LrU1FfXJH7xEU= aQogo6NcUAwhe5EGncQQhsc7lzWNRURMn2kh7NItPLkJcPLUVbTxtIGWKFnvBGsdmKIq24X8V2M= dhKA4xpez8mfM8kWbheFDT06wyaLPJKFCzM7jTqYsCW1IAWuyWU7M3uesDZu4iX1pC3SsaeFQui= KkceBZYk2zbNv2YtELRsLBYfJREyAjK5S0kWcBp3ta9VR3K/T9WlCCTj+HWGQOora+DSSB5HcYV= m1THgVuS3knG8cJexbChBHxuxvLuDKra1t7JhRZZ2jdEUzjiFpGJ/s14w8avqWjzpWy8lgY2yzk= XYL6fGFaY3uKmdjkU/hXgZdBBtBoyss4NHIr2OeEc4LmG50oU/o1z63lQ40zcTHa/GbTG9r8ZzW= qrseu582dX7U7gWee0rKO2vb+dPhPsJEwFfPkWUiwkIERCiVz3o1uR0C5Op9/wDUfn/jbGuE5AU= GOFtNtJaMXBAtckWLX6h9Sm+4xveM9Vm00TKKbEzbpHu5VwWkAwpMNyRlVHkZPkWQ4lj0eblCRn= 09XJucqx20p62PZmjPmyIagjtVxQKRc4u/G2MizkVLsthQpcdkdyrZNNWxiukxIM4Q40qaMEeSV= IllCMUQCEIFhuSI3td2sSgeznnwdwccy5m4MN0KnmbeWEhq1Nyluw23u6WdbmRhVwQ3oMdKy3Jm= SU0s11UWhYUeG+VX+BKIN43YSengctY7JH4LyWQokFsKRKx4xZ3nwQINfMlS5A7ACnbLjwI4vBV= EYIYhtTlEejugALAA8iSSSbnbe57+7y22xwzawzsRr1ABVVUXQQd9KgC4IA5f1wpId7ttFdW+Nl= 9WEVuk5a2Scyghy215jglKyUVEj/2RIxm+pE7vDVW8pwq5Fu8u1rm96Z5i/honKvS5hdqerU47v= F47kVzeW88pz6ppHz7AWMyPBgTS4keBXNKyIF9FZvc0cqQeRNGZ5Ll75bJSnI4jJLyNV7vVF4RU= on9OMeYIMVIuJChgY5BQ3U9kWM0quVfG7WWYnqR6IxHlIUpGoitYqNVUVccYV5+8+1rmdwc/xZ6= +K8KIy3huc4rFa1RMahuXEV7msRqIque5GIiu4TV9N4NsxiYSRm+OARzCOXxrWKN39k4bCp2PIj= uWPKNqoqcork5+tNI6fp8nlkQpnjYZ5iAiujEXFZTnhe0wyMYwiW6K5nc1X8lY9WvVHsaju5VsS= +nI55qzASsajKJS+TU1HPmviNkEK6SKKMlqyPHjEYRWJHaBWj5crXe5dGDDmaPJKLJYxJlBawbe= IKSaGWTXyBSQjlR1ahwPIJzmoUfc1XMVeURzV44VF03/AKxNwMr2u6cd1s5wpipktFi0stdO8BJ= LaPzLxw5GRkjq5iHFjsaQa5KJV7Xjgva76KrpUttMEBgFOaqACuD5mwlWJ/kuPJixiHksAPxHCl= SZT0Ko442PVhGj+g3tY315TbdDqF2CxCyttvN0Mup4EuTAHHtKO6iSCRZtddRyNSOVFASPJBKjK= ZpWdzm9iPaRE9ymDHKR0A9XHVzmPUduTsPuTg4brYHcLNcdxiLIrMJs6XJsqPlI7FJt3kG4YnCy= 2fcQXVs40nJbO+mjkkqyRqWtqqkIokOdZ/S5uVV5fAkvwnCQur7aRKx69m9RO+l1aILvcrDRMYl= EcwhBiFHfLitlpEYQhuxTIrn60OlyTYzYbMy33TpuhtDMfciisi4NulQ2ka5r64hiPr4OObl1FR= PyIFCN9qdtTW3NfZsjeekDHaiiPULMZuX1y5hkM3EsnxXEcUg3eD5NIoZ2Q1u5OGWFBMdeQZMSX= Vjj3NpSWPjNWMWTHbNjRk8QHBlGiqi8sSBcDUdtuXvwo3O5t449m5FdlOx9BIzHNdob/cKTIuY9= ft5ge1e8e99zkuabhSrAbqem+Rrc0KlrMdkz0+UMhlWRGU9NVCO6T5kbUYRxu2NNl2027WzDZld= jeJZTv5jeZXW8202DeOmFY7d0gKWyh5TSQ3leKNYV5bUuOZPdxgQAZbLLDsHwmSxHKVo+O77bo5= mWbOmbyYZiVWR7pdnOyq8g39hWEjykjz5tbR4BTTYkiGyQNrCRZWTwGoomoSa5qoqvD2r3X6Xtv= FLuHk2+odws+zCp4nbi5EhAEPR1UqWBavGqgAViY5jkaaCSjK+H4h5J+01hMnynIfSKzNfUmnuu= Qeg7vnpgIA5EH3A7bDv5/piR1vuT9Cf8NRhe0E3dv6e9292XpLCfVwsyopl/esrbudi0rK5tjuJ= txtVg+EycrqSCusZxGXke4Rcp3Eu6E0e/DiWJSquokxpV02QKRrEstx3OKCtyfFLWLd0NtHbJrr= OE/wASNKCqq3vG7hFVEcioqKiKioqKiKiojKevTpEvep3DaO023yCvxLePb5JcnCri3Gd9FaBLc= Y1lC45kKxWEkjryZPheKXUeUERSAlVHlXM8jZWDX94THPnm24dttDh2TdTGw8TNsQHgW4EPEoeb= 1GJbaYLiuY2x8ap8yjXBtusZtPnbstq76ovK8gck3Lmbil8jPdezKlBBJbw5NOo7euTvLsH0i9S= xczrKCuyHace72SdPpt68w2NuM6Hb4tV2UuTheZYZZQZNxkeHzjGSkx28kLj1044UlEGV4ipouz= XST1wbjbei2b6j+nPps2olQ8Oj7TWfUjiuagzfO7zbCvpm4pGWixaJVNjRc1Nho2438v3cqIUEN= 5Co/wAJVrNTaYrsttpjGA4FtpFwugk4ftnQY/jeF1FvVQbYNJXYzXRqqoWIlhHkeFKixIgGtlD7= Tq9qkV/c7nRgxDvZ9X+e7j7Ub4Xz8jxnEajD4OOUOG9OmW0+TRt5cgpTDwexh5veZjVZ9SZApJY= riQ4rKWpeCQkAzzW52lO1zb8p3Z3dx3G95h7e5BMxjMIkHrcyaszIzsvvp+GkxnJNvD18eFTfhV= W05BOrLKc6HIuI0+ZAGFkivkiGktknpFPg2GybN11JxbHpNy6G2vdbyKWtNZugMcj2QnTyRXS3R= GPRHtjKZQNciOQaKiLq+3DsVYSYVmOUbCWDZTJ5G1Nc185s4bAzWzHJG5ktmCGMcpplekgbGMKj= 2taiGDGmbK2Nhb7SYDZ22W1ud2c7EqKTYZfUQGVldkEwtdHfIsosAdndMisOVXOULbSb2v7v7Zy= rwjaN6LnfK+yu0DtvuCPA8ZxSPIW9hQ4mMlya1ZWlrCTTVxsqqrSthyTjs1bXsnsBFmRoylaQay= ByEezWU9VQ1gKmkroVTVwgtBCrayJHgwYYGejAxIcQYY8cTU/ujCNjG/Uia1G728obyxdcHHLjW= RAMCSVAMkchWiXkak5GRryMRGsa5Wqva1rV/uNXVJnld2my+nin7LZbkua1zTLDU0mdzSU8AoZf= VmnpZlhnRa2A6HhWWPQ4DLriJEgEp6eepo2qqipggpqqKqYUx3n4Wr/t51Fi9PIGIkUEXsCR6uG= kbQ9Qe6W4GIbYhjUtDEy21x3NpGVzstBbUcGfPwOTjde+ZVgiRSKGNfLeslvO0ZYsGQKRFA2QwS= ObnanrHrZIJ75OD5RYyKsEuTcBxsUOaCmDWSaiqnkNKnzK/wCUREt7YI64laEzpcFWzPCGPv7F8= m7LbeW0PH6+fjpPLYtEmV9MkK2uqgkaHYujPsY5S09hAdLDYEiRzSwy1OI5hIQg3OVV1mAbQbax= VmLFxGqjJPgDq5bI4yBGavClegovhDI0YxMSqru1oms48oL/ANbusaI1ZpYDXiEVpijNX6OCIPS= GQNKIAwB4KOSkZPNVBst7CZmM1JUV9bPQU7UlFNVTSUtKz8RqeF3LRxF7ktpUjc8gQN7XLfZ3Wh= t5VWcmmtKnJYdvUo9mSVbx1JZ9BM7JBI8E8QFq81kWSyO57DUbbKIJr2LJOHuXtyb+rHHhFroM7= EsspbOzHEO2NdfIUIUKHZ1se0qZsqY668oXz8SUIg62EeTbtXvG+A0rVbpYJux+10+2kXcjFg/K= Mwhyzygn2sQNmSSxWFfaQ4k4MOzVGqrReeBIQCKqAQaKvNy62T2xyIwT2+MClOCOtCo22NtGiyQ= 1AQx6wM6HEngiWIYIo4GxxTgSBsUTH9qvRXLKxDwi5OrPHYNFFyGdi2WSKidZfg5WW9ZDhng3eW= jlDhHx6sjGsBWjJDJSnGyXOhxa4nlZHZMd2Irtloeo2lv8zqsBJjOSUt/PLNizRXbqOIGqnwjWY= 3V/ifLBPlqW8VYst7cdS2ZGiTYEiU4A5YlXdh7B7SimtnDw+KhGECcMdZto6tjSwHjyWT4lS+a6= si2LjxQENYR4g5h1Y5DmIhTITLSNpMBLkcTLloO6/hWDraPJSwtWxW2iiMFLItUyc2pkTxikHGC= WeCQ4GkcgSDVGqiHz3HL3j34Q7g+7Ef8A1/bgZrhG8Hs7IGL5Ze41V5x1e02M5pDp7OTBjZJjZc= KyqYeluwxyMHYVZJMWNIJDkteFxQCerUVjVSOXKJHVLb5pvltRjHUheTcm3S6gMa3s6eMihZhIF= Rbh7P4vfyI+ebNYfYsktiUWRYkNBx7fGIr4p7IcfukMIF5HpM51MdLj+oPNOmfLHZO/Hk6ed6IW= 7rYfkPOJkaxMeuqL5GUnjC8ij/ldDrJRpVTwOzw+HKqMUovZMWtPT7VVfz4WTi7bdXeV9TwrIVS= Vk0MHJJZJTsEoiOl91fDIrkdPMrvAkFIZ/l1VXK65pZ6ZIEDOgkCMpDxat+K7qb+AAG/MN+ePXO= y+d9mqLKKBKuroqaugpZY5kqco9OJqBmmZZlSzGXhObJw6GnmiBtNTVbxgpJDGyKbtPA3Ab1c9S= +Wxdzc1zHZbKNt4oKXHLK/v5lNt/uXi9xV1mWUlTCjuOWlknjFjTwjggSSQMiQUbVY70cfjlVkO= UyiCqLGSJzVA+QGwzHcetekZzlGRwRTq0SGP9FXIxHorfouc9EVF1idhuk/L9mc16lruRuUuU4n= v3mrs6qMTmU5ozcJtDwo0GeIM0U5CTATxxhkMg/Kr4jGORU49Vtq9n5tTew7yHMgBPFOArl7Lor= iNY3sK1rD3ZIze8aq1iuARrV9Va5fXVfUkNICjoyLHGoIUqTpRRa1gLjkT1IJ5csN2iqKetzBXp= qqlnggoMupo5ooHpuKIKKFCHi4Kfx421QyyEWmeMy6jr1FUMYxCHjjiHj2V9MLJAIZw2t3NtgMe= xVc58ds55HiVXOVFc1ydzEaipw1E1uOrA2qnarkXuROFX6vd8ONX9R8ZwX6/Pu/5waNGjRhcGhf= RFX4aNYLJ7sWN49d3xxPMKmqZ9qULFRryjgRSyniY5eURz0ErUVU4RV9dKFZiFUXZiFUd7E2A/M= 4QmwJPIAnyxm0ci8/m+OhXIn18/o4XXKTG/wCki7CEkz1yWZuvj9lMuZIo9BTYNjtpAoorDJDjw= mWpp4TWb3qNZRpZQjd3yFCxiME1ddCfTPufc7nVF7a2Nwa5r3Bxa2oJUqvjVs1tVk2PRb0A5kaK= rhtkMHKY16I5yNcjmoqpq3zfs7nmRcE5tl81EtRq4JmTSJCoUuFNySV1bkAi5xHgrKap/wDQlWS= w30323tY3see3Ln7sOl185RPTn193GhVREVV9yabpvT1T7FdP9vi1PuzuLRYXY5kG7PQRraS0RZ= gMerT2lmbw/V7Bsjx3CA5ycypZBRI6EM/tSvpaSqrp0paKmnq6lwzJBTxSTSsEUu5Ecas5CorMx= CnSqljsMJWVtJl8DVVdU09JTIUVp6mVIY1aRgiKZJGVAWZgqgm5YgDDjNGkx2r3dwDePD6rN9vs= lr8lobiJCnR5MA4jFjsnxAzQRp4BvcSFNaAzFNFOjTCcqte3lF1s9zmmJY7LrIF/kdLSzbl5RVE= W1s4dee0KFGKUNeOUYT5hmNIxzgx0IRGuRe3j11y9PURTPTSwyx1ETMksDRusqOgu6tGRrUqASw= IuoBvaxwsdXTS06VcdRC9LKqPFULKhhdJCoRlkDFCrswCkNYllA3Ixs+jWsVGaYpfSHRKXIKm0l= sipNfEhTo8iUOG4zo7JRIwyKYcd52uEMr2NYR7VRjnca2HzAv8AF9mmnVo20yKUYc1cFWH5NY4e= SSORQ8bo6nkyMGU25gEEi46jpi9o1Y8yH/GievHr6evw9fr198wJP99v7TV/4LpMKXQGxZQRzBY= A+ROL2jVjzQP+1b8Pen+k/wA+OPr1880Bf/SN/Wn36Wx7j5HCcSP76fzL8cfZDHPYqMVUdwvCon= PC+nC/92m37kdLG1e7GQmynNKufPuTwa+uKeNPLCa+NVnfJgtVgfrAcjyIvdw5y/SaqJpx/m4/P= HisX/2m/fo80DnjxGc+/wDvN+/1/wAtcsoIsR0v+W2+/TkMNyrTTrol4UiXB0sVI1Dltfnv+uG2= 4J0o7O7brIXEsYSC6VEdDkeIc0hhRuV7leoyvUaHc8jiOM1iEV6o5FTjjSt4zgVRiTjOoxEiEkD= GExHKpVcIKvcJnDnf7qvd9JeXLz6rwiIm7+bjr/6Vn7Tfq9/1+/8AN79fPNx0/wDSt/aT1/R6+v= 8AlqtGUZZ6auYmipjXKSVqzBGKgMUWO/F0678NRHz+r6vPBGtPEoWIQoq7AJpHcOm3QD/OL7Oe1= O5VVePVV9FVfjxqrVvxWI3u5Xjjnn/4a+eMz4r7kX3fUvu1Z8+Xzy+I8xh4kC1yBe9r9bc7e7r3= Yu6NW0KxUVeeOOfRU9fT7/q0eK1V49eU/N/36LHuwXHePMYuaNWvGYnv5/Vo8ZnHPK8Jz9Xw9/8= Ar7tGC47xvy3xd0atIZi+5VX/AC19QrV5459Pf6fZoO3Pb34LjvGPhGd/KcL7vRfqX/h8V+v6te= J0JikQiia4jUVEKrWq9Ecicoj1RVRF9yo1eF+vnXnn5HQ1T2CtLisrSFTuGOfPiw3kbyiK4bJBh= ueiKqIqtRURVRPeqatnynG4zXvk31PGYNwmEfIsoQWDecfigaRxDtQbjD/tBNerVIxFcxFanOgG= x2IuD39e7/jHTQuFWRkcRuSUdkIViLXKOQASOukm18ZMcUXL3uGiPI1rXu4TuejUVERzuOXIie5= FVeOVT611cDGCBjhhG0bHLyrWNaxFVfevDWtTlfrVU5X46wZcvxYAASjZFSCiylckaSS1gsjyFZ= /fQBnSEGZWf76Dc7t+vjWbDLjyRMPHKw4SNR4zCc0giMcnLXsI1VY9jk9Uc1VaqeqLrnSBztY3s= CBtewuPL56pt/QfN+pxWIIwNVgmoxvPPaiIiIq+/hERETnV3SVbn757O7KVsO43e3PwPbKqsZse= ur5+dZXS4vGmzpZmgjxYhLiZESQYhXtZ2h7+3nuf2t5VN5hZLQWNKPJIFzVzceLBWzFexLCJJpy= 1qCU62A7IJnQ3wkAimWU0yhQSKRXoxOdKNhz5c+Q/xgxnNGsTDvaawjDmwLODOhmYhBS4koEmKU= bkarSDkBI8T2ORzVR7Xq1Uc1UXhU160nRHNVzTjVqJ3K5HtVqNRFXu7kXjt4avrzx6L66Xngx69= GvNEmRJ4GyoUkEuM9xGsPHKwwXOERwitaQbnMcoyseN6I5VYRjmO4c1UT06MGDRqhSNbzzz6emq= fGH8V/V/r4LowYu6NUtcj07m+qaq0YMGjRo0YMGjVvxW88eq/oTn82jxWe71554/z/XpLgC9xbb= f38v6jBi5rVbfBsNv5Hm73FcduZXZ4fmLWkrLE6j7mu8NSzIpnqxFa1UYru1FY1eOWpraO9v1Lz= 7/ALPq9fr1om4+XEwjFZmSDZWvSGesYRtvZJUQUFOs4kEryz1jykC8Y5DnhaoH+KZrA/R8TuQuD= yIODHpdtxgDniI7CsUcSO1rAEXHadSBY1GtawT1hKo2NRjERrFaiI1qIiI1EShdtNvHDOF2DYgo= ZJkkyBLjVKojyE7uDmH5LtKb6b/7V6OJ9N30vpO5QvcHebcDBWS7mbVbc1GGBIaQHJsuzuJjkVa= taFkyLJMWyfDjDIS7QkIrXGY1kJ4ZDeCd7ETPbnrPxzd22vqrbDcHp6z+RVT2w4kTEt4savLOWj= fDbISRX11lJkxDjepEQaMOxexE8RVXlFwYeKDbvA4qEbFwzFYrTc+M2Pj9QFpUXjlCNHDaj0XhO= e5F54Tn3asP2x26IgWlwXECNjI9IyExqlekdCEeYiAR0FUEhCveV6DRqOI971RXOcq3MLtcnsKh= ZGY1kKnt0mTBLDgSHyoyxBSHMhyWGJ9JVkgRpHNX+65Vanonrt3mQr7nc/n49PX0T193+ejrbr3= dfnceeDHjqaaqoYYq6lroNVXgRyAg10SPBhhR7le5AxYoxAEjnuc9yMY1Fc5zl5VVXWT15/Mi5V= FXjj3fnRfs+7R5kPHPcvv493vX82i478Jcd4/zy/qPPHo0aseZCvPDuePfx6+7/X/H4Lo8yFV4R= /r92kuO8eY939dsLi/o1Y8wL393p7ufq/X/AM/do8yL1TuXlPenC/V6/q/P7vz6W47/AJ+SPPBi= /o1YSSJfcqr68cpx+b8/59V+Kzjnn/X+fv8A8uU0lx3jzwXHf8/JGLmjVnxx/wCL/Sf56++ONfc= vu0XG2435ePu78GLujVnxx8c8/V7vT4c8e/8AOnu540eYHx6rx8fzaW4te+3O/S3fhLjvHni9o1= ZbIE9yNa7ly+5Pt/R7v9c6vaS4va+/d8+/C4NGqUciqrfXlFVP1euqtFxe19+759+DBo1bUrE+t= f1ap8caeiqqfpT/AF/r9C6W47x54MXtGqGka5eE5VfX9Hp7/XVei4PI3wYNGjRowY+KvCc60zcG= smXuE5bTVrGkn2uN3VbCGR6DY+XMrpMeO1xF5RjXFIxHPXlGoqqvu1uT1VGuVPeiaip6mN/+qIu= 6+X4Z0z4ZuBej2t2su8inwo2A1tXU5jujMusRhYjjLcw3JHTY9c482iuL67sA4hdR5Xj0pI8y2i= KxsaRJo6eaoqFELwxGMcUyVDaIV0MunW/2bsVUEggk7kAXw3K4RSSC19rKLk322G+OMrKP+j7+0= 7BY2d+Tbnb8FZEmy7Y8qXuVWRo4YITvllPIKSH2AEMDVeV717Rsa5zlRE13V9CWAZFiGyOLXOV2= tDOvMpxbCPMwsVtomQ43UjxzGIGPjj1eRwwRx3rD+RfILOaNo/FKoRJ2i73sQ3R6pfadyBWO1eJ= dJ9XWZnmFzV4zjeYzWV+U4pjWNzMVNJtMpy+cHKamhPZS7ZHRS1te41fQuaSOMWSNdHNJQrpe3W= 9o9tLtc/bOXtsR+IYvuRGwT8PpG2fjZRh9fOmXVjlOSxMOk5FjAs8gkuSt+RZtPEj0ldAnxW+Fa= sjHcno3abNs+7X0MDZpV5BFJRShqaOmnBaSGYIJJCRJOL3VVjWwaQhtN7AGoo4aWhkIgjqCHWzF= 0PqnVcA3CgWBN7X28OfSARyOY5OF9UVPq+/3r9X59cdH/SFdsMvpOqXp+3ds7OdJ27yujrsVhsk= lcysoLeht3GuIjHr2hCljCsATyveqPN3yPVWD9OtzbmTfTMOoj5MWfJvHV8fz8u0g1dVPnHRiK6= ZJq6aTMra4khfprDjSTDjoqM7u5FRGX+0m6I4/Xb0+N2nFOh0eU1OZYxlGMZHMH4jKhY09kHIPR= iKR/mManWnhga4bTzRQmkIxqd7a36Ne0MPZntdBVV1S1HQVdJmWR19fAhaagps1pJKNsxpbHWs1= HI8dSjIyy6Y2QAF9sz9JfZ6ftJ2Wlp6KlWurqCty3O6GgmYLT5hUZVWQ1Yy+p13QxVsayU7LIrJ= dwxFlN4IPZmb95djdjk2G7e5FIk0NnheQX9TitWQ0sky4jICRVsCkfvP5yGBl6wLAqjyRY6NVHd= jOJAetXPc03UrMKwndHGMbx+omZndWuNWMukvAzK5lDnTsPrbiTZBSRcxBRK5X3dgSgbAkSUsKU= Y5IYJZJ1eh0p+zH6cOlEWO2WJUNhc5pQBB2Zfb2EnzrpTI5AFIKHFKCCwL0MVEAUJ0RpHcuc5Vc= r0872pwHc6tBT57iNPk9dDOkuEG0iMO+FKajkSRDP9E0Uyo5WuIEjHORy8rrD5ZltJ2V+kCbtJS= dte2HbHLm4hD5+IaasmqhBFSU9apSeckwQwhhxQjTyyvPKplJJ2OfZhW9sfo/i7OT9iex/YfMdM= SiLs+Z6iihphUNWT0hDQQLGJ55Td4tYgjiSngIgAQQB9JOZ5Ns3lFzabcgJkM7L6OJkWVMtqTLb= a5tLopiRA4YRHIy0rxUqhYWrlzghjAdbkDNcaRHXskITqG6gsuyqPRJgc/E4EPP8fiSyRKa6Wwj= U5LV8WbFsJJ45a6bFlw/9qfMhkG0LEajmqnLtPf292O2r2rWwft/gGOYqe2IhrOXV14hzbAje1W= vmzHI6TJc3tThSlf29qK1U9OFO8o1HKqBYiqvKqjWpyqL6L6Iqqvv454RPimsp20yXNu0/ajNc8= o+12d5fQZnVU1UcseOGQQiCip6VoFmaQtHCXi4irCIluzMULkNjUdis1yzsz2VyfIqzsjktfmGV= 0k9L+81eZeK0tdUVS1LxmMLLOEm4TtPxmsqqrqgZSje9uLbeZLhU0251atniONxrHKrUXiSGODH= oq2TOkSWpEIEhXCijM5okdw9VRETnjUU8DqI9lZMAQoiHAUNdX2IYh4OSoc47NhCMjgUcw0d0wI= xFLKiukMIMYyvH4qDIjJety9v7DcKjSiiZpk2DsU6vlT8YDjciZOglCUEqqliyehyGuLBljKrDs= 8k0r04a0zGqqObfC6HcLhoNWZjkD1GFscbn4ds61wwJ2ogWKDbQSNGiMYnYicJx6Jxr0nI6jKIa= aZM0qMyV9Y4CUNS9OEF9TGQGjqFfUCqqVZGW3rAkDHmmf0eZzVcb0GUUFaojCyy1cNLI7k2CrG0= tVTsgjFydQZSfqkcsRjXG+fSHS3hq2PcbUFrYdUTIC2boO5basIEMcAIprZR+TjyZp4Z4sYpSrF= OeRWKN3bNChdiTfzozSpgPj5rsZBvUqSWFkKXZbgpDUstO+qNEcSA1xxGeOUCZGC8xYsyO+J4rj= I5jZLidGmJFc9y5bep3jeNzfwS2nc1zCTflIjXI7b13c0tgiTXoqqiyv7b+8iKmFF0KbYR7SwvW= WU5La0g1lZYS3Ylta50uHTinRoIHsdgKiY0EexlhTwhsV4yowqvYxnbFOX9l9M2rtB29Mkiiwjz= 2ExqeLE7iMS5QGi9VZEVrvpVlG92JyrZL2iLtbs7lzK5I/iLQbA2I0WzE2tp5MpFiffht97i9MH= DL8dTJ2eqMlPRMlYxPBb5KOD56fXxbSlNKLMDObGjzIRCHIV4ZCeXVpRi/szI1vNBS9Rka0ypfw= 36apVcUl5Z4xX2NjkD5kJpyEJj9TJsGUcIK18UKIOZOeA8iY5qPjOD3q10s4+niIr2OkZzk8srW= DZ4p6bAFf2BEyOFvLMOYitCAbBDTjho2tY1O1qJr2P6eqkwwjk5NdyUCqeH41NhCqNEb28NRMVR= qNVqIioic8cJ9WszQZh2tyaGoo6efs/nVNJUNJHL2goqyur1hVlCIZxUwoDoUX0oo1lmXTfaXN2= blqDEx7PNBwxb+BPl0Rckfb01HS57xcC4OGPbDW0iBfZJB6jLjbL5Mg0OOS6OZh0e5jx51zaqYl= qyMZxSlPWQUWNFiLJBHmG5Id41Hw/TzcWhdPeWzI8bFJ9PdS3KcoY8CxmHI1YbguOr0Qn9moXGF= 3tJ2LyRqcKq8Jnn7CVRUGhsity+E1oxqSnw1VGNi8tYzjGOGtRfpInHovu492sjU7MQKKYywqru= 0hzU5a6TGrMWjGex6tUjXEj0Inq0vY1Hoip7kVPVqarpZe0lbmPHqqfs/BSsyCSGiop6cqFVAXi= 1Vci63sWbUm5J2HIW9FlMtLojbs3TSxKyniSnL3nsWB+uZybpf1fV5LYb3xnN0760xPAbS7onsH= PrnVbY6KAcpXMkW0CIUYwHcwbzvjnK0CPeieKrFc5E9dI/jW+WRThUta/HXXdtKZPsZr45Y9aSN= QMy+ZjcN82MYvhxruLFjPmXsBhFZAONkZERZQXNctY0lfcV7qu4hR7OCbwXGjTgDkAMSORpQveJ= 7exzmFYwrF7Pova1yIip6YUmC4mWWKa/Gqbzopj5o5PkAIZksjAjLJQiMRyFIwAWPfz3PQTEcvL= U1pI3jC6XW5Bve23TYWse8dfeLWxa5hlucTVyVOX5kKSn9FigalZNV5BMJJJ7MssKuE0xD1CSNQ= 1BbYQuL1A2M6RErouIEPcl8/Il1iThxywotfHqjGEQkkQQlkObahMA8QkiEeIxZYy9j1Y30M34l= SpM2JV0kGeQGTUtKCS2wkR4p4l2k/wpjHEgoQhY7q8rHsE14TK5qhOrU5VaV2/w9AxgNxakQMOS= s2MNK6MjASvDaHxwp4aIMqiGwavbwvhta33IiJ8i7fYbDK88TFKKOV8oc5ShrYzHrME8pBSVVGI= vjiIYr2ERUc1xHqiorl56LRE7INrDc+A69evutsN8Qxl3akaQ2d0xQteQrTBW4egBFS8TeuXuzs= xIIAKKoLAovc7p5eSvx7IqmDVCr5kqyMkFbNhVnwoESWQ4ZpUiPfDkDfFVw0E5U7l7C+5dXKrdq= wu1Nens4mN0sG0pq75KLAWwlTEs4LZTzSpDU8WMIr3r5OQFjANCxHlRyqqItKYFiLFKrMYpkUxy= yS/7ABEJIONwjmd/Z8KQg3vG9yp3PY5Wu5RV19/ATE1LEOuMUymgiGGGR1fGV8YQmuaFgV7EVjR= Nc5o0aqI1rlanoq6UPEBuvI9LEEbHkb+Z63tvjsZX2gExk/e0bAhGeB+KsbTLCsetREI3RNYMrR= KwVgQr3IZ2QN2/tgQrXwaivPXwLi6j2pxHmvfNqazFEykUmpGaLHISUeOqiaN4lGQjE8J7mv5ar= +2+ZWmaVUuzsaEtGJCRFrnulhlDsYcyvjTmSQuE5zh+A85Ir0IjfEcFTDRBkRrcvF28wyEg0i4l= RRvDlDnMQNbGGjJohPAOS1GsTgzAkeJhP7zRuViL2rxrOU+P1NBGJDpaqHVRSFcZ0eCAccLivRE= eVRiRGqReE5XjlUROPdpuRoyp0JYnqdyACLi1+ovbYc+7EnLKHPoapZMwzSKohAkLwRRaFLFUSO= 2qMsES2tgJNTONRYhiMQh9XWx+GdSHtA7XbXce6JSY9D6GrG/pL6RaHgwcJyQm5NrAZmDGulxYY= 5ddHcjlNJcg1GJEI9GM5SF/qSrMcxrfLdDAs2s8j3W2uxPqv6KaG9h1lnKlGzjEqbp/vksGwBRL= EQJCX4ISTPBDJYCUYrXqR3KP10s9VPs+w9Sm5htza7ezcPaW2ttpZmy2UwsOh4tNh5Ng066l3Uu= BL/CGmtDRCmkTDMdIryxjeGjEa5qsVVR+L7H/AGjj5zDzYm4m4Mp8TcfY7cZ1RJZjhYMqXsdgEj= b6oqZL3U/mH197WySS7l3iJJWXx5Q0cKqPTEH8OadmjHr6SJAwOoakIUgctNmF+dumPoPtz2oy/= Oewf0fZPl/aapq3yXLoKWs7LPl08MGUVkEdQtVmCZhMixytXtNEDT0byRnhcafTNYGBDpZ6b8W3= /wA66X9sd2YFtj+y+6G3XWjuntbWX2TPKHFMMtLWC/b3IpSxLs8OJJxqOMj2RZc53yeWKQZ/D4d= rrd6ZsFp9kemja7b+tzl+5lJtzt/Ap4ufDkgs35VX08YrmWzJMM8wExTiZwx8eQdpFa1Gvcvqka= mQexdoy1+FQtveqbfPa0uBV28WK47MxyBtxZFh7d7z2hrTIMBaLI8NtwNpq90mVFqpIhjsY8U6s= WSr2De2TfZ7YKs2R6cMS6eMWtZ9zVYNt1+ANPdZSgpk6xGKukQhTrxkFleGQ4xTqWWKIyK14+4Y= vC5RyOSMDaxNuZW2nYG5GpRsel+64tjx1VI1baSeTbNY2FjpOxt3HY2t3453urWjx/r33Xn3O4m= zW6NECsxe8xrC22lDc3GMOlY/i26SQbSAIMBGiu7TJ77CpqgCAqt/B0X9r4jka55fRZuetVtJux= 0pQNlN2RY5WYRvZf4amRMsa6fcRbawuZ0PbevfIi80x4dbcApKQvmXqxISOVjScNakcj2Je7kqP= tqUXUJhWPz9u76hvAwsX25vqzH7SXibsWk19hYQj55MlluMol454WaWAJcV0+CYIYLIRoyyTO/2= N9nFnm3+9eQbyZxuPhdlYZ5hHUbj2aAwTC7TFZIrvfjK8CugW+MTLHKb9a8eKVmDviRBzx2Mgky= /sjjkgjo2M+3mr8peGdYskSB5II44ZRmFTIKeVCpaoSNlAZpLesr6hubAWxVx0WaJJCZM3aaKOV= 3liNFAhqImO0LyBhpCjkVsdt73OElFieJxZDEuulrqsBdjPNHbNpsinzqYsyzJRvsyCRkxIhYLT= SJJgIFHAFISX5VXMc48dQdu8IoJc6FWg2N6kcbxvJcbs6u8PkeRWZJMCLbNjDBYEEgiFcWC+DJh= gjCljlBj2c2eSGpJXarnv+pFNZcFt4/Ul1FAcWCGuWP+HIyD8qB0womPeSueQyjPPlEEp3GaNDm= a1iK5rmqztDsBfbVZhZ3BN2s8zfGZmNxaaFjOZWBLb5MsBzI0iTbR5ykGNPFFG8EMUcELYySpiN= K4RBiDTb9efX34ufn53P8AU+/CHbddQNrgmJU2BYt0x73ig46I8StFMhOUJq5pjy3zi289nilkS= HGU3gnGskpJDGuchEkNA53ZXde+3Xr7u0uNucs24FWWra6DBzACRbK0GgleWcKO1jUZFaREGx3L= vEXlfRETlbPAGnrwvr6e/wD5e7X1oRsXlqcfo9P16MGIofa3ZcGZ05XmzmOW+TwNzMyk45kNBGx= ijs7GWenxzJq89sVJIoZKZzQtY0kqrtZsNljDYcHiM8Vj9c5WSFiY2HGrDJYO4GO2OVZDfWUmfj= lTNFEiR8Tq8dsw1pZs28pq3HZ8egCawbWY+ZZlpKrstlx5kw8ZUZ2V78bEYP1DYDZbc58y7ZR2c= qvlll43dT8cuwFrJg5sfylzVljzo4yFEg5IWF8KVHeQB2PERzVj3i+xZ6M4FiSzhxN1gHkRCwJY= o+6eWxYs+FIcrpMebGjzwhkJIY40Z5XsU/lJUyM0rQyjsJJjqIIluKYtKF0s0r6otQcEukYiU2K= DTpZ23LG9uXWpQtggLGwu9mUbg302HcRz62vvhP8ArH62Op/pCxbp0Jk9nsfUBt8czfJ+oHMW1Z= ssPi1Zjs/E4eOy6PbUu4eGZZY4rMFd2QstynHnZJNo7OLWiBjzg2bfD9uR+1TJJoW5tT4YKkwGu= 6haXaqPZwsyxnJM6yyrq92pm12ZntNsHViXuCRpNjVzD0pJcuZPk10iCdCwpUkQ9SrZlsttRuW7= HD7j7dYdnErEZLZmNSMqx+tvDUkxiickqsLYRjviGVwAuV4VYrniY5eVaip4w7AbIx7q4yMG1OA= ivsguK3Iby4Hi1Oywtr2nkJLq7efKbEQsqwr5SJJiyyucYJ/7Vj0fy7TDtrdn0qmti2hBpRdRJ0= qtzpUXsBcgCwGOee9gL9ALAeAHQdw6Yh9xL21pNw8Yxy5wLpXzi+s8skWEyhr5mZCx2rlYrA27y= DcotuW8u8Oh9trEo8clgsqSJWzARp54g41xOER5WbEX20WGvwLLd1YOz1gXA8cZjFRE85uFRx86= sc1yispLEFUbb2DTWmQQ8XifLkYJsxAywERRFKOqVis7pYKPYDZLGRqHHtqcCpRLOtbPw6zF6iG= z5RvIR625mo0EVjUkWdfJkQpxURHSIpigKrhvc1ceXpr6fzHsJJdmttySLaiBi9mZ2IUavn47FG= 0Uaklu8nyesAJjBiiE7gsY1rWtRGpxzgxHVt57Q3K96xDySoBhuwWNY9S0V1kNTu7AubfIsrWzu= lqpbMKaGXiUiXThdxGiXCU5JB5z+w1fHaxzHZ679pMsjILnGcE2+r72bT5ltrUsuZ2USK/HrfGM= 4zWbhZ7gE2bQV/yfLBNgEUTFWyhDWQxxZZlC8JJCE2L2fbFxuAzbDCWwMOYweKRExurQGPMG/wA= QY6cXlkZBYN/D2tAg0R30kTn119TY7aNq3Kt20wvnInhJeqmOVjflZ8eYtiB8/wD2fmSoZ7nTRe= J3KOSqmZwRe7V1BW5KI4xU5ZNLJFEqkpIiRGVWQSSuUCSzFlViOI40liijSoOJ0c1EqgPTM7BQB= Zgg1bXY23N97Ann03w33py6x6rqGz3McMqsFyCgh43Ht5UTIZrpBoU9KHJ5GK2EWc0tVBFW2T58= d8iDEBKs0kwmSHFLGNFKDSx9SZih2fyUgpAIr+6jYpZN+DGA9hL2tG8br2RCsB16lY5RNKkQhXO= egwqMr2EYomP7f4bitjb2+OYrR0VrfkYW7saqsiQZVqQXd4b55wDGSU9nc7tUquXlyrzy5VXTN/= SzI+2VyevEQ00MijIAY595WKrmXleqq+ZjceVcjA1qKsgcILnnAhAvcMT3kZWVT0slSz0VM9LAY= 0AikkMragqhmLm4JJuTy6bCxGI07RNITBGYo7KAhcuQQBcknvN72/xzQe2v2rw/erqNxDE81yrO= 6imxLoF3x33iVuJ3wYlXZXO11xjD6uLZRJcOUCXDnhvprZZ0EOS5gQeCQX00dEbkPQLsHshXRs8= wrM92Ku5r/Z9Yb1rNdBvKWt78yurnFoxMcIWupIpn48xtxKc1VJ8odwh8zHJ3o6cT2tRGxOpqky= Bm2u+m4Lsh6Ed6diCrtXtZZZfXU9pvBbY4SotLG2lW1QFBQhY9OdKrg+ZnoMwHleF5ER8bu5GbP= z3Glx2N029YtcQ3s+MS6Mny5WwbyAZkWP2uMTi5c5g8tcT5DKOkktZEY105qmEq88OTTGGsdVG6= OYJj/QzT5imTBxYi7WbXWLcjtLsFKKI+aLFTyDS7qZNrhBaWOSSyQ982O+QwhRNf3kaixlZV1h4= 7I2qfjLeo7EXXUSlbBjSavezCgT4+SMyS7JYkrbR2UNlGrR1xsZPRyLAhZS1VfbQpY0lPRDy402= zm2HUL0mYNtHuhjEzJNvMh2twWousct2XWLz5AqmkqxIGaKJJr7eqlClQkUoGyRlERisV72J3Oa= CnsN/Zlt4VOnJ3c17iNX5yt1FRHuVqucvOaKqq5Woq8p68eqfGXTTxxC0i6rPqFlBJAtYG5UfJ8= MVNbRTzyF4pCmqPh216VuTckgAkk9CDtbzSzEupXYr5a22Nf9Ve39rRH3SvfPqPe3HXrX4Om1Nq= wUe1QeQ8rBNulKJNqo7VkyIkQ1WF4xBidglrg9ZPTy2ugTo3VFtGc4qeBW3lZK3bxNGS40q/uy/= KMQyXT0Ba1MZ0KQhO5o5lY90V6ud4TwYYXsN/ZmRgijg6cfCBHN5gIx7k7qMYMqO70I1qZpwju9= Efzwn0kRfq1Q32Gvsx0J4qdN7Wk7RBR6bk7qI9BRnOfHGjkzVF7Aue9RIiojO9Ub71TULMKWkzB= 1eSWph4SSrHwAgJMjRsGb1rXXQQOYKsysLG2J+UVdflMcix09JUtNJA8hnZ3VTEhBRNgQjavW3U= hgpBBVSPpusbp4dVx5Fd1TbVsIy4sh30cu7OJyEkRW5+sqrPHG3IGqjQY8pRyEEQSuiKkd7VexG= s2ux6z+mdswp6/qT2ufWzKk8IovnUxWOUF3HgyVg2EQT74jhw3vJ5eSLxlI4/glVOBKi6iz2GXs= xka4Tem5Gjc5yvam5W6jWOV7kc5VRM0/wB5zUci8cIv+evQnsOPZmc+vTl6Iio3ncrdVe1F5T0/= +WqKno5yenrwvu4T0qxkVEgIStzAgrFcsELXjUC4BdlGq7GQKo1HckG4F0O0eZuSZMvy6+qUlVa= QKeKVchtgx4ZVeESSUUaSpsMZYvWbsIGGw9L1R7NyyHh14Z0Cfu1iXi1drDqEVLCM9109ix5Env= FNCThqm7Toj0ReXN9Pm/8AtHu/aXVZtzuThWczKynppdsLHs3qMoswHON45JZ0OsspyQ4/mRkGK= R2DHIVFRvPb6NOb7Dj2ZjFL29OXb46N8VU3K3W+n2tRqK5VzTlyo1ERFXnjhPX09HL9M/s9ukzo= 9vsjyfp52rTArvLayHUX878KswyB06vrzFNDAoslvrYIPCIYjkeAYiORUa9zmtaiOwZVS00omiq= 61yoXTFLoaPUAdZJa7R6ixuEax5XC+rhmbOK6qiEE1Dl8SsLNNCZBNpumkEABHKqgUFlFhcnU51= YjR60N6N26bqk3Sw2h6m5eymP4xhuK2mO0ciWUFffWkzFpNnKgRHDIxsaSeXEEx0gqqFS2Amv7V= Vnc2929O8IZ8eET2hBjNkPPGYeNNcohnj4pPv3FKUs9ggQy2cB2NhKQjXksJMN7WeCdF1Oruz0N= dNG9+YzM+3N25FkeVT40KLKtH3mQQFKCvjDiRWLHrrSJEb4UcQx9zQI5yM5crncu0mqey96JV5R= dnArzwn/zoy719F4RFS99/r/l6eqKia84zDsp2qqMxrqmnqqGWGermlgaXP8AtFSusEkmuKJqam= DU0RiX1AIvVNuR54+Eu1n0I/TXmnantDmeWZtkEuW5jnuZV2XPWfSH9JOWTxZbU1sk1JSSZblMY= y2lNPA6whaU6LILa9ziDa36m9/KPculxkPWTkWUYeXGxZFeZTWXLoIIBVFMU1Cj+2w/29JQI0Vr= kjF/tJo3sE8TVK6qD1AdVsu2bV/9anKhh8nNkvvHXAH0y+HZyIEYcczJbzGd4QhzpXiCAgI0kb3= qJvD3Tlf+S96Kk/8A6OBX1RyquU5h9Lj3IqfLvC+9V5VF4+r19dff/JgdF3u+Z5iIiKicZXmKej= l5VP8A+PenP18L68/o4qIuwvbXiTGXNIOE9S08ccfaPPwIo2REFOrtTs+iPhhlYEMHkkPUAYqL9= nD9oPj1Ek/a/KjTSZjLWw0sH0mfSIgpaaSOBBliTy5dNPJTxGDiRySSccPLNdjqW0KJ9/uo/wCR= oEv/AK2OZQJaMc2cyTYNkvkOeeOyPNACLKIgKxwiEaGQcwvFcjXEVnKt1gl6leo4qkSv6ss0mIP= sarDTQR5RHuinmNBBE2zeKQY6BSKxpVaxJBBtT19FnM/8mB0W9qou0LUTjhF/CzMuVT3onPy97v= gi+74apT2X3RV9FzdnRo7nnlMqzFPX6l5+XVVOOPXj1/z06/YntkXBSvpVW2lj/wBRZ+WIsALf9= uFBFrkqljuTuTiZJ+zv9PzSq0fajKY0Eehx/wCJf0il2soQEXoeCGC+sx4V3f1idVzhtvsyOoTc= jNdtd+cr3bzHJc2TAL8hIpLojT2cWthUAZ8mKFniOEwj3IR3hIVWoR3o9U1IATqYxyLPqK2woMj= gS7KLU2MmOYcAkiqrL6a+FTzZMePMKU7ZaDWYUURDliREcQyI5qsT37T9K+yOymOZTiG3OFjoce= zRSOyaAtrcT0slNDSvL3nsZ8qQJHxEQXACCTjlyfT+kqiTdp8FsLepuZNInn6SNXwoZRS50cZYd= SVD1cacEEgYLINebk0Rk8choSuc9nCucq+ndmqCtyzJaCgzOo9MraaN0nqRLLMJCZXdSJZ1WV9K= Mi3cA3WxHXH2F9EnZntH2P8Ao97N9nO1uajO+0OWU08WY5mtZV5gtVJJWVE8ZFZXRxVc4jgliiD= zxq9o7WsBhqdF1SkxaRXDz+lywk7PtyM3oqaVIdQwcbo67GsjZQx4iWkidFhCkKhwDHXGkrY2cm= JZHiMK0TEJfTr62ia/MCyImShqsXBkBIlw2JDkRL82N260c+JDaGW4lec9ijmVyW6Q2zQsIZisa= zhV9yXp42nyxtSK8xd0yNS29ldRIbba5BBPOtroeRT1socaeKNaxz3QhWCxLEcmMw42dgmtb26x= gemDZMC5YiYRHJHzQVkG7rzT7Y9X23E35StHVlYWa+FSln2H+3SS1AYRCy0Q6u8RO7V96nUG/wD= Tly35bdd8ejG99rW/5+HLDTrjrcqpOfbTTIYcjrKG5nZjjVzhpIkM1lfZOGtCXHYtZLAd9fMYYx= 2EFKDNZHG5hmHcxwlRbG4Mrq6P1PYiXFIl7H2vMxSmAhahRR6ovya+6AV6VpqtpQOV7IrLd8q0M= jZS1sqPw3l2helvZA1ZV1szCmWQqh1k+Ae0truxsAGtWCHMkrZTLE04kpwwiaCSWQ88VBM8sQSt= RUXCurAVowxo6GQYI4Y43HkHkk8KONoxI4sgpCPJ2NTvI9ziEdy573uVV1Py3Mhls88ooqSsFRS= VFKyVkfGjjM6aONGtxpmjBujHb3HnUZxlRzWKni9NraLgVdPVa6KThPIIGDcKQ2N4n31LvtsBj2= xmPajVe1UXt9eePr9/u9Ph7tevXxE4Tjnn8+vuq0C3mT54t1BAAPQAe+wH++DRo0aXC4+OTlqp8= U14CV8N6Oc+MNznp2vVzGOVzV45RVXlVRVa33qvuT4IqZDVLv7q/wCvr0hHiR02PPkd+/cA25XG= A269N9+njhknXb1P1XRX075N1BSttj7nNxm3xqpBiFbbRsesbSZkdxGporQWx6q5YBwiyWK1qQS= uKv8AZtViuRyRkWftjN4KSqZd3Hs77CpheLNRj5fUhhiSHFg0jMgMoI4NuzGllfBKrY4YY5Mgso= UoHhNWMdzF/wDbtSJMb2dW48iFHNKmBzvak0WNHWU2RIOzOKpwQx1glBNSQV6NYFYhwyEI5qgKw= iNcnNfkNzjU7A5E+bG6nMTSlx3cCNPh45me5FrBh28rHBSI9hNbkWe2yxYmNSyypV1CkHBMcGa4= Aq6WqdzdFllDTVNMsksIlczyxsS8lwirEVUKsqWGotvYj/fzztJneY0OZSU9NVmCJKCCdUCQ2Lu= 8wkJeWCYkkKtlDKdibna3Zp0m9TdL1J9MOBdTBcaNt3R5niZ8um0FhaCvCY7BiMkFmtkWcatrGz= EjhjEK8gq4KqjVRBqqJzv1R1LbEZBVEuKjdTDpFeOTNhOlkuIsYbJVc7smDekp4XN8BfVz3NQaj= VpWucJzXqwP2TdfNu/ZTbB1NYZJFjb7NWdfAkyuWMNNnxbKPFPIUzXq1hDFGQqla/hHO72u9efP= l/TlvrjgSXe2cLN1JZW7iX+3tdn+HYlhk+DJqpQZzg1WOVyQ5KPbGBDX5QCORNU0dko7+THFSVK= LHU1EaCyRzSIgveyq5C/oB7+fhja5ZM9Tl1DUStqlnpKeWRrAankiVmNlAHMm1hh9eadUWze1mJ= bvbibt5vQ7Y7c7KXVRT5jnmZ3FdU4yxbrD8MzCvlRZxJCoUcsGb1NVDiqxJ863aSLCjSPFjOMhG= A+1N6A90dsNzN4cG6mtv7nAtm4cay3RslJa19lhFZNeg4Fnf4za1kLJ4VZYPciV9i+n8lO9VinK= iKqMj69ekbeXqM25uibQY3j+ZZz07ddPTR1MV2zGdWgKfDd9K3aXYjaiJcbcWl5MASoCs0kuVIq= 7CxjSKdmQUYRTBjX+1jss3+9n/wBZXtGc46ot9st2Fx7oumZP0Q5D0u7c7cX2cYlleVbr5nZZjT= 5vFyLcSywI83HqrFsfNRCpMc8zKmWbPlI81GBjI+OFnE7HRhc9VPT/AI7m+Obc326OMUuZZZttb= 7wUNPaSyQXTttKEUY9zmCzJIRwI1PXBmRiSTSpQHMYVrlZ7+GwYX7Xf2cW4fzhLhvVftnej2ux6= zy3MTRpNqMETF6aSOJa5DVGk1YBZNTQJBRjk2WMut4g+9rlL2qi6hl3A6EOuv2hF9kGRbubLxOj= t2A9B2U9LGIgv9yMXzyVuHuHksjHyzrUS4NMmpU4E4ePeAkixIGykhnK0kJiMdyteXbf9dW+3Qx= uv0fW/s6MW2TvKLpZNtFjm4kbdraq1rspy2oBS1kKu28rqVvynDxnIx15bWVJyGXQeUc9opEeSf= l6mDHRhjGT0eY43SZdjdiG3x3JKuDd0lpGR3l7Cqsow5kGYDxGjf4UmMUZR97GO7Xpy1F1lvOxk= 55I1O3nnlzfRU59/0vT3L6r6ei+ukc6dsSu8H2A2bwnIorYOQ4ptphWPXcNphHbEtafH4EGeBDg= e8JUFJARiEER438dzHOaqKrbsh6Osnt5eRzYm446t96XOWlitrpsutlw8um5nYQRzYJLMbBWWNy= 8lhPrLmE4UlI0OfBKN4JsRa4wYfkthETlfGZwidyr3N44RVRV/ve7lrk5+KKnvRdN16iOqPbHpx= oqiyzU9tZ3GTzH1+I4di9c+7yvJ57EYpAU9SB3inYJSCaYy8MY8wQsQkgwgkQQfRbkDcgyy3Pn0= I9dl+IkxY1CtfOFAxhJEW0gyrDFFbOfJrZbWz23EIsSTCaHInTbAgnsPHFEbD1I7OZZt5n+ymaZ= S6Fe4njOzjto7bOwVlkGhxXIj5LCkzMuuYMKwZKog5ZQNm01pcgsReVm2xyEmChue9kWtkmigZ4= LCTUihmFwgZgC9iVB0i5sSBtv3Y0vZLLstzXOoaTNHkFLwKucwxSrBLVywQmSGkSZ1cRmd7BmVJ= JSissKNKyAvk2C6xsL3tuGY+bEs326v5QZMilr83qUhR8gFFGppgKe1A4kCVZwAIsifUeKyxiAa= QxAeEMj2u++UIv8A2ifrb9Xv+v6ufX4fXqOjpu28rcsx/NosPJIDjrSMpKS5iWFbf34Z8pp3zc2= ZZxhxpixpsjsbjo7hjL2uhJNhJLSASImtlyTpAy7IYMqEmfVNB5qqx6Aw1FUWUctfMx8KBk2le5= 9u/tPlaKrskZIQvmfCjo8kvsIpFpDK0KmV9bHk2kKSLD6wBO97921hba5j9o4cup81qIctppKSB= BHeB5XnCyMoZtDyokwFipKya2D6gHIsA/JLCIvuMxeOP99nHr7vXu45X6k966q89G/7Rvr7kVU5= X3+714+pfT3+i6jeP0HXcaul1FLuiaJElS8NnNmToZbKzAbF6yTGljEfxYrwAuJ0hZBmRTx2Ro7= UbEGCaxk9M9cdF2WWYyeV3XLWeYtR3AwtgWUxtRL8pk8aaKknHumWUaqtC30eXLqiSXMAePMdCk= x2yQMiScUWJA/PRvf4jf2m/Xzx/venuX3/AAX4a9HeisR7eVRzUc3jhfRycovv4+v/AOOmTXXSx= kF1Iv3fL2MU1fkVZVDNAx6rs60tbcU8fLK8FhWTPlAgxOnRMpWTNeSAQS2EFPHhWEKWWKx1+I0d= hjmI4vj1jZMt7Gjx6np51sKGGtZZy6ytjQpE8dfHVwILJZQPkNiBXwI6EQQ+GMaiGDCc7rdQG2+= yIm2G5l6/HaX5Itrklw+KeaAQaksERIaQ69sq2lWMlZ7HQYUCumGktCdrUR7WMfnNnd5sL3zw6L= nu37shkYpPMUVZZZFiWS4ca0YHtR0yDV5XWU9uavc5ysDOdAHGkOY/wCERjlRi243QlsPmG8Unc= rIFy+fnUu7pBxb8u8+7FdbUKyjSiyiUlfXZvFroTJJSQgDg1sWFAGIavSFwjhmKjc/eV49yNx63= dbGqfFdp90LzbGDtTlVZFMPJsfxCkriONIywjiZPI3AvpElxqx7XJXFY0Y5EGSUz5LXSiFV0MSx= 5kg6RuO4XJtfr3dN8RuLIHOoAIDYAWudtzckAAHpuT3jEnyuRPj+r7+NfEei/FP0//HULmcdTPU= Ttvtti2dn3Nq8zkbz7R5NnUCnhYZVBNtlc1gqyyhBx5kMxj31eyJYLVFjXzJcw9oFTsksaTyLNJ= ndXPUXGpp2Oxspzzzy7mbKY7GtL7aOoxrdp1TuBil7dXrarDLMAKm0rXTK4CUt4SriteJkkKsku= H5hyiByLgjnzAO+4vz99v6cxhTUINiGBttcbcgeY9/v/ANp2u5F5459E515VnxUVUUrU4555c1P= cvCp6u9/Ppx7+fTjSVbHlySRt9VSMruMuu7mR5op5WcUNLjWSMa6SVBgn1NAEFdHUTEawThs7iC= Rj3qrlVVRvJeijabKLi6uJczP4Dr6TfS59dU5vYQKvzuRZHDyqdNixWDe+HIBbwo7oSxzDHGgNP= UoN9VMmQpLJ2JHdh9TcA94B8xh262MREVVM3hFRF+k33qqIif3vX1Xj0+vlPei6FsYiIiqZvC+i= L3N496J7+7j3qic+7n01HduH0pdNm1FPPzvOsy3HoKVttRHl2LsrMSLFsY+TMtqNQxYlOVkUfys= YADBABkawZ3PtRy5MqZJkJximKdFdU2go6ncTO7FsMTq6vrrmVY2zbFGXzpTGnSwxchZBY9vSK0= RAkE4TWeCiqEzEchvbYXNx/UX6HkNzhTt8/P67Ykejbv7YzLlmPRM5xmTektJFIyoBcQSWK28UP= mJNb5Rp1P52OD+2NH7PFGLgj2oxUVd8SfGX3ERf82//AKtR+RZPT87Msu3kjbi+NjeSDnUZKWup= DoldlceskQbzIIM4EYtgkolMF0YnbG8sLyyEQjl5aushtekWtBOk/OBnjxya2HT2Et8/L3DR1fH= kSYxnuBWDjw7VsZSF8QDAOKgWOcNyt5WHRPXOs3p0UULrPIkIibWHgUnhys2trM4sStlt79sPTC= EMnAd3UxKzmRQrCUgFkAG2lTf1rm+23PElSToyqiIRv0vd6t9fXj/F8fT8y+i6+tmx3uRrXo5yr= wiIrVXn4cI7n3ev6PXTS8U6fNns0rKjO8atsrsKy9C+6prJL6QjHxLe8gZS4go0uKva0lhAjKxZ= AFlBjI+M0jEculax7ZDCcauKy+r4s51tVHZIBMkzyFIYrMcgYsj5nag0mKtVWxv/AN5QnbMR8sf= YR3pNwzhXnnGN3a5eFXj4cev+eqHSwt97v1Ki/H8/5lX4cIq/UuoyvaP2maVcTa12HWOUVzzysn= bPdjUy1iOK1gKby6S/kwg1e1quKovGVUbyRWIi9y6QTYXHN3M4westl3EyTHbCkzC/DImZLcZhK= V9fMpqpquDVBAVJsmKrDPgHl2cSNAKQhFiT2FKLXmcP0jRy/SPUfR6MlrVkgpPSv3yXvRt/2cVW= IgnCuXIl4f8A6n11ItirGZg5o2W8CQFYxIZzfhm6hgBt3G3PmLdRiaMd7UFnSKwVhEJZQwgkS4D= JAXTY0eSr2xzyIqEUwQnURECQjGsKo3oxXK13HtWWFPeq/qT79RYz9k9ybaDTgq9yzUnlxYrEua= +mzHcMy2RKgFk2dPdlFvSz7IRJcqbHtkjkhGiqZiwyK0SNKvpLstuHWyfMR93LG68xZxpWQUlll= 244Yt8OHaGkihEsYQnSaQTYBxMKakiRByDA8IwPCdy30z34tPnfEovmw88dy+nv9E9Pt18WbHTn= l3HHHPu9Ofdz6+nOo28L2tz2osMslX+5c6/He2q+Rhz8lzD5KUclZ4oBWR1pAnqpNa6ZHYFA2Uy= NPbCE8jYxGIRVDHhNhBlAkPz+ynTUyCRLsAyT38eCsbsnrBGFXwZiEmDbMa44uwQ3jjgGEo1G0j= s1mOb5xS1jU9H2eqK+nURk1kdTFEgDlFOlHRmkZCzakUFgqMxsNJaFNU1CSFI6N5UFv4gdVB2HI= Eb73+dy+NkoT/7qqv8Al/mn1/WnqnxTV5r0cnKenP1Lwi/q500rAMX3OrKexrsdy+BbtZaREFZX= hLckyNEjY1HCCv7bCAfzAkszDlllo9hpUCP2csmyiyAq5hdJulAs/M5jk1Va1z4fh/J8KE0RAye= 4nBPNNixVMqDaBpXKwYyFdIIMAmOEINvl1TVVdHDUVdG+XzyKxko5HWSSFlYrZpE9RwwGtSotpZ= etwJELvJGrSRtE5G8bEEqRtzG3u7xvbHvz/eLbXa0cIuf5ZW4uOxIQMF9k4jGySib3EYNRjInc1= v0uF45T3evHO2UWU0WTVEC+obAVnUWkdkuBPjcuBKjk57CjVyNXtdwvHciL+bUYHVPjOTUO61jm= WVV8zONs70kCPX7cxstsqBZtpGx61hiyLxokiPGalFOlRzrXzJAEJylhDHJmwwiVxHSfg+fY5g9= 7Oy67fefhPDppWPWBraZZPZEDXzAJFcWwRk5qwEJGgLKliFInLFWaRHOKqrrqrKaaHKIMwjqw80= nDJQtGY5GktrhiVf4iy09yZi91Ybx6rOI8xRZ9XVOf1OVyUISmiMqq+iUSxiL6s8zm8RhqOUAQB= 734gUaC7zHTY7W97nojOeO5Vaic+7393x9NfUmx3L2o/lfT09PrTlPr+tPVPzeuoCNzenHrK3E6= XNsdniRxxsz2v3rl3lvZxt7oZpG4+DHTJSCMWcLIKKSJY57SvGlJc2w3NSIj2I7whsXOu6S+r+L= 1R49u5Qb3CjbM2e723d7mm1VjuFNeCNieC7CycQZZ4oQM6YCtnlze0sw5TQkdNgXYQ0F6xvm60x= ZOfxrMTtpLA7ntd3cKqL29q8KnvReHLxxq0+VDI1/e5jmj/v8AKtVGcf4vpeip7+F93v1EF0GbO= dSHTnj26eObhS6+5qM13DqkxfI8j3Zdm2d0dTIxu+He5dkdnItZePZF4V9HoItPHpaLDrq4HLsL= C/pwGiMeRrVN0S9W8raTcrBA5rEwrLMh2RxzbrJspk9QOZ58Lfjd+LuJjt9bb/eSk3lbL27inx2= ryUJKKpscds7MWXOx94YdfjlTK0YMdEKkgoqEVB/SRGNe5WKioq8o1Fc7j0VPcnu4X6tensB2q7= wxdvCqq9jOOOOfh8Nc6mTdE/WbB2n2exenzyn3AyLCDbsQZ1Pd7yZ3Q4vj2UZFudHvcL3ArWV2e= 1WS3WM0uFw5dDW4rd5pbXWJ/LT3RW3RoDGOn8ohWbsIgQ7OREn3gcZjQrWTWPOSFKuRVowWBIL5= TySnRyTmlWOskpJCjc3xnuJ3OVRuQCbAkb93jhGJAJAue7GfW2qQuYPzcYbyo5RNUwmKVrPR6jR= Xp3tZwvcrUVG8L3cauvtq8ScllBGnZ4nJCjYnZw5e9Fc9EVnDHqjk9FRjl54avEVWNbY2lPVXlf= uJstleYZnb4dYwNt8kFj77gOGq+BkYDVrrLuRMSkkmSWSSK98Z1m2SJWPO5UY1Fd0un/cHCIFBW= ut8yzSwy/CazHaGBcDLPLWHr8T3VUGFwa5knvtTVkebDWcQj2zLI0piyCjUw0bdRZXTSSCI14Um= 2lxErRydXZGWY2RBcHXpJINrgHFLJmlSiGQUetRYMA7K8ZJUAOGTcsSSAt7C1+8zdrd1SMGVZ8X= wioqiJ5gPhlRq9qqN/idr+F9F7VXhdULf0yLx8pQ//eQfq/8AOfV9fw4X4Lpj9Ri92DarbqBV7f= zJEmFXW8aXArsVlbRArjOmM4e/DCLbFiJJR8t6qSU/xiIycxiqdvhWq/FMoY6xNJ25yZj1kRCQo= 4sjIRkkSigrMaVhYLRQUjuGYYQp47ZrwM7iAjypSPaXL4irMZzs7qLcK7BX0g6GlVxqBBAZVO+3= I4STNKhZAixRWKo1247WDKDuUjZbhrjmOnXD5fwgpv8A6yh/+8g+v/7T/X+aa+/L9MnHNlDT149= ZIE493xInp6+9OU0y6diduOfGJV4Tk5gvHGfNeW5mASIWVGeSdHBHWveErIcpw2h7F7Shc56Eao= /CJ8Skym5JVsu9t7yCIfkgSzU144bghitQSncxlaF0kxPR52I5oyp38t7uWPVcvhIB4zabEn/0Q= wsRyTi3O1+t9xthv97VN9PDpwbgA/8AclelyWEQAt4nfmOVsPS+Xqbjn5Shf+9A5/UpE1cFcVsh= yDBLjneqcowZRkcqJxyvDHOXhOU+r600x+Ti2URpc2LW7eXM2vU0lAzbC7k+ZUas7QuEz5Oc4Ln= 9zuW8p4CtRyd/9zSkbWRMoh5L5a3wiTTVkSLLBBtz2D5bzNe4JUfJC6BGUZyvV42q4pXDGNvCr3= rpuagjSNnSYuVXVpJiUkG3QSE6rm2m+rrYDfDkGZzyTJFIkADMFunHuT4aowtvG53O18Nx60Paa= 7Y9Kef49sHjuH5TvP1PZ5j0jIMG2cxp8LH4UivHFuJYbTK89yF0fHcaqztorJscYnWt5PLFWPW0= ss5BtdHTsx7cbcbAoZsi6/Nhce262utnbW3FTvRsJf2Gd4zg8DfGhvMv29xfcrEL5kDM/liHj1F= PJkGQ4ZGyGviEiqaZTVsU4ZDsf7SSttKPrMyncx+I5muG0W0W1Rsm3LpqZuTYzic3CbbLs2xt9v= Cro5L+hua+xE4tRasclLkcK2t8Os3wy2UWaGJHZ7fPAOsvbvcam2M223jv7DFYVhgs7BpGIVVjf= vx+y2qDt3+FlVYIWwxGgHEwbFLjFSZFlZosbb6LnWTzhgsbqfjsSRXtO0M0cCZLU1lJpohXV6xT= ycBqskIy1MbCGnDSLpjSRZdRUidUBUn2rI+zXZGsyOKXM85FPnFdT1ktKoqI1jpHpXBC1EekkiS= MWZS4ca1dVYjhN2u23UZs3QAo5Fvm0GGDJaeiv6MxI1i8dhU5MCXIoJIHjiPbzbDgyfIx3qyQcr= GhYJTFEx+rO6xOnFjgNfuZVj8yNpI7iwLkQyteyaRiMI+uRikc2vmdolchVWORqM7kRFY8k3BaT= /q92G7EfHJW2o+mPamHfw7CJOmT/OFoJB62SR0ErECkBYci1jy5LP7CBV5CaG9pWEVFDl5d7Oqy= FBnTIuLIJkOtHDe6FlUNGQrJkgFeVQjUKKOc2xlxfMlG50lZMiOYj1V7UmCnisP4dVISTdoRGyL= 61gpNtmsCSN9rcseZHYkXBsSLi9jY8xcAgEb23tyuTfDsonVVsJNGhI24dU9VmAgIBY9mOW6RIM= scKthEgtlujuKjmrLaBYrO17nma1jlT1531O7GbaWw6LONwaihty1wLYcAw5siQ6rlOG2PPRsOL= I/2Uriia0yr2dxGIqork51bD+n7pjyWoo8pxHA8bsawcgkyjtYcq1e1hIsg0UqAKth3qEMkBgrF= eqxmq17fB4VecTuv05YluHmQskt9xM1x7wK6NCjY1TXcCBSBWMJBRpbYB4Rnve3w0IrXPcIru5j= xqNzmaYQ0jTBD6QkYB169AfVtZQFVrcze4v0sOZTHprOuLpbujni1G7FTZSooXSJEaDW30qQEDP= F7zECGreRoxqErSPVvaNzFa9Wr6a+p1w9LCmdG+d/HkltkuhuhqG0bNbJYgEcFYboKSUehZII3C= i9ZhWQm8y3IHSXReifFGzBTSb57zzfDVH+AuUUAWKio9UZ5qNjo7IDXOMQjmxpwGuc9UaxglcN2= crekXCYtC6jdufuHZL/beXtZ15USJ4BGJXPc0L3Vfb3CSHJZHe5qq1txZiIhI0lQI+wy0C6vUkn= SLW5crm/BFx3iw8D3GHDYJvvtVube5BjmC5hByK5xYESTfwYQZiPr4880kEIxSHjBE4cokSSgHB= IRCoF7mK5qK7SuNcj2o5Pcqcpz7/8APTGh9JVQByFhb77yVVi6Qpp1pTZTT1k20L4sg8IdgoqZw= DBhvnH4isCMMprYfm2GdGa5z0aGvdVUtTVvnTLR9dXRILrKxeMlhYOiAYBZs8gRiESbKUfjynjE= IbzvI5gxtVGJElEaspidmUgCzIwa9huSQBYm9hbr+eDGW0aNGm8GDRo0aMGDRo0aMGMdNtYNbGN= NnyQQ4cYbiyJUow48cAmf3imMZzBiG1PVz3ua1E9VVNayu5G36p/898RRV/8A9jp/d/75/l/z00= 32kJCx+hfqkNHKQBhbPZa4RQvcMrHpXuVFYRio5rk9eHIqKn1LyvOuFDbrbbcjculvb6hydkSFj= k6qr7B91kcysG0tysgcBBHeR7HENJA2MwKIjnkKz1RrXKnsX0b/AEVU/bzJs0zmr7SxZBT5ZmEF= A/FofSlkaeBJkfX6TDoJZxGqaWLEXBF9/HfpE+lOp7D5xluT0vZ9s5lzDL5a4MtZ6OYxFM0TIF4= EuvZS2q6925x3VdaWzW1vWVsNkGxVzvTU4FDvLbHLkeU0Fvjtha1k7GbeNcQSxo0yzBHerpEYaK= rycNROUR3u1EsP2Km2QJdtLi9fMuIa8j2obPyeB7OxRSjXlYtTcTnxwWAwpY2UNXMmTmi8c5XuO= 9zjKhGwGR+ljqLkDM9kuMxYsxtbLZIzF8Z0W1ekR7KsynIxnnnjmAI0Q3varHc9/KKmvBN6b97Y= NclqTI64kJbV1IySHL5BIZbdvisWsFLb9B8/zQiQ0i9qf7Q3tV6N9dei0/0H5NTDgU/0qZZZn+q= uVRyFXYIN71zkFja24vzFzy8vr/pgqq+Vaut+jOqkkRFjEjZpNGeGuogWSCMMqhnG6tYXHPn3Bd= MG1G0vTH004N000e8FVkFJg+JGxOLlMjIKCpvJQDCOJZzGQ7A4oU0fjqQBAvIgSsYROVTjWUx7b= 7bigkKZeofLLULRnCGFabpUMiKEZo86MzhGAHII8QZrlaQkh7/GDHOieIJF1wOj2+3qIKQdsHJ3= gijlEPJDZnkAH5NquKx740wyoZVTsYHt8V73NajPVVSnD8D3izm0WloAZEay+TpNqOLJs5kMxYc= WVDhEcwciQ1/csufEjja5rfEKdrWqvqqS3/ZqoGWeok+kfLyqXlqJWy+MBNVrvIf3kAASSATsTY= Xw7B+0TWwLT0kPYKpRQiw08Qr5DdUXSqJ/2ZLEBbAC527hjvhHt3tkNqC/6wuXvGpSmL4m6tGvj= EMJWuc56RkKNEM552NE8bRkciN/smMG3IMwfbFoZ4S785DKZPlQZCIfdClTybYEiPJGGEoBgUIT= OA5khr1I4wpBxvVzVYg+D642K6gaGwgVlpDuIsmxgW9pHc/ICeXSBQNjEu5JzpJ7QjqxyhEmud6= CZ3uRXI1V1SbZLfMEM88pTsjRfEdLIuUF/wBkGEtqI5ZP+0cBEBaS1eV7l4aKEd6co1EWKP2cco= 0o3/iVlhWQXRhlyEMAxUkEZlYjUGF+Vx5S/wD4hc5BZT9H9WrJbUrZg4K7K24NEDyJPutju2Zt3= tiNz3t6hMu5eURER261I7wxhEMTIo+4K9oHIxXlVeTke9znmXlGpdtsD20tJzZydQOV1z2vUng1= 26dIKM4jo6RnKoCgOzjtb4vaieH4zlIjUVU44KYu1m+E22raQEPIVsbiNBm1gnW8lrJkOykSYsK= SErpHa8MgsQ/huTnlrWv/ALr282822y3q28hHscujX1ZXx2V73TluJJY70tHvZDQJRyXNe8qjdy= xOCDRE8RjVVNOr+zXljyxQJ9I2XNPOBwYly+MvKWIChF/eVySbhRzO23c0f2jMyWOSZuwdSIoiR= JIcxZVQ2v6xNEbC25Ntsfo0UFpSLQxmVmQRrmDAAOK65SyiWDTOjtaxz5c6M5I7pCrwplTs+m7+= 43lE1rk6N52sq4YNw0hyINwCzkWAZNW41jFEUryVUgRCOY2JIGXwnvYrTM8Mb2uVUcjuZfp1tb5= PYQdUVhX391WXTZ2Tgh3sCzmxbivcfMsYiqaFPAccqOVgyvRrhGY7tVzUVEcqaZ4D2Tlgfby4zB= /XJ1SVx4uFXGU0Szsltm1OSlqKORZFDXyx5QqsY+TGeMYzNac0RWSwtex/0fnntF2fg7PZ9m+ST= 5kjnK80qcsSoaEx+lvA+kMkYd9LOtzw9bkb2Jtj3/s92gmz/IcqzuKgZBmOXQ5g8CSiT0dJQDpZ= yqFtP3tIBuBzx2gsNBbdSrV+VxSRz1kKAOqdPheSAeLJmHNYM7TeI48sckEcrV+i1kNit9Xv41c= 1Ow9BjVPI3CCc9NPgSrixM6oITKYkRS+arLOOR6gHFsmkaySoU7kaNEYicrx+ZTlQdxMdjOMPqS= 6hpD3dKtF1ACY/Pb9qJfXl/UUo8eIqZEqrVA+V2GdMbzLJ4KsQfDk1rfULV9SGw+K7K5PJ3/3pt= A7l4jIkZEKRnOcwfwU3GqHwp2R4MqluG+ZJTUGR4hMNJRUR8uymR2cpEVVjpkRcqPTEtIdK3icB= mtcAg9dj3WI68sT2zYpdvRmBSzFg63WxAB7wQTa4332tj9P6joMbxu7srKivaKqrLGAOM3HqwNF= X10WaMjnutGeTQBCyzNd2GQ/e1zWt7exUcr8iAbEq6yBLz0cuXAs2Tz2SSa+OewjslFOtfJEMqj= YBwyNjdw+HeEIa/Sf3Od+Tk7fffJMObO+endzzSZGyOp/nKzTxFjrWySKLn5a47O9rX8cc8tTj4= amj6OMLl5BsnVZBuXunu3lUnPn4vPlyJG5mbwpuPwLG5nVSx6iYC/Rw0koBCOIQbnI9v0fT3+d/= Sp2oy76JuyFT2wzmOqr6Ckr8voZKbLo0arZswqoqVXjE0kUT8MycRkMisyiy3ONV2Ny2u7c56Mm= pGSnqJKOurfSax3aIrQ0zVDiRkR3GsLpViCL8zYY787AgJob0IM2BAfbCjihmBJrnPqHBEgyFiI= QitKslfpkQqJwqr2KnCKnidG5TFUbuHx+D6u+UlWTVc5KjoyB7bBEcih7SNSQx0ZW8P5aqORV1+= c3h2W5viHUhv5sbIut288HjmZyxY8KfvBlsNK6jhFa2PFdMl5AB5Dmc5iDcqtY9XPQq8K1NXEzm= 3tbGCeQPe6NXzLs2OtUO+2UiHCmVgbo82uP4GQkQ1hIHRTGRZAu8auILvb3NYj9bkccHaDJspz2= gqGNDnOW0Wa0ZkiQSGlr6eKpg1qJyA/ClXWL2DXAJAuc/VVb0dVU0c8IE9LUTU0oDnSJYJGikAJ= jU21I1iVtYjfH6Njndz8mVc6jIO7j+DVjaatauOESvWF48JyG7pDnGRk5zZKORJPejXIN6MZsUS= 5qwxYwZF7XSjhAIZZCzIY/MFYNrHmUaHcjFI5qu7Uc7t545XX5lu4+KdRN5TQl2sy3d+rso9vcH= szyuoC8nRGU8ahgHjQGK/IGGfL89WZJKaV42Oe1r4/CeArtI5Vbc9c1uOC+BvDnshbGQQQmfPZk= zFDHFULdvsDOdc9rYDa9FI+QqoiE4CiK9eEtxkYI3rIxvyaNr9OeksO8jcn/eJ+9ze3o7Hus1xb= bwG/Py623/AEdsl6ZrjL92pe4Fb1LZ1VUsyXAnnwKqrMCnCjurpSSUZWX56g1vEinVWxzNlNnkZ= F4AAwXIwjVgm9POyC5o7cmzw6ufk75grOTOmWVmypl3MeKkMV9Nx5Z7MYlXzIrUElwepdYINrUb= IRBj7OLX/o0e5e5+V9eu4eP5xuLnWXQIGxWXPWtyTL8hv64U6JlWKg8yGLa2EmOhmclYM7RtIjH= uRFRHKmuofqf3CyOyvnY5HNIjU0q0s6dzhT317IUOqrZM2fLUnhoMsgvhuE0LyDcUbk8F7SN+lW= VtO9FPwDLr0op1KCtwwWwItfrtv064nUksdTFxRGFuxFib8rA8+o6i39cOnx/pj6coY781JgtPL= BksEtfOb8sXNvCDVyprbKRXUgZdtMi49WyZzElGh0A66MV6cPGrfTWwZt03bKbiPfIyzCQWEkg8= cGsuNbX9NPF+CI5YsdfHn0trXzIxqsU+WKOeOcRlEd4yvIxURI9OnrNDbd3lNhlJko7SviUdfZD= iusyTilrDz3QzAN6ECjwOKr2ohiH5aqO7Gt40vV1f9RkCVuAWgyWtsI1DnEWTg8ubKqiVd9jtyB= 1pKxy+RnaStLTIJ1CCwI5hByyMOURGIuq2epMAUsJH1Ei63JBVQ2/5de+w67XuWZOczeSOOpo6X= h8Mn0tmjRuJLHCNLKjfVd1LAAkJqfSURrPZwbCsa25oQY1isawj1EcpjCFY3l5kMpCSSKUrn2WQ= 2NpZkar1XsYSY8Ym8ME1jERutx8w36k9eePf9fr+j/v+r6+I9dv8r6obrJq0uSxi1FBbTXUU2tl= jrQ2FO1uK4zkiX0R4yP8AOtHZtyTG5Y2ovZIk15ms8Jjn6SmZmfWRXVmC2U0tjGNKwuBU5GjayB= MC7N7qLm8ZLDy3KPWLXW7sJSSaG8ohMOwQGF8w9UifvFNIfgVBU334ZvYGMEkc+cg6cwcXo7H1J= laD97ZIJAsRAFYWBMqTsEUqhDMrQMjFbqC0ZBZXDYlTmxKyzCobKDEnx3K1VDMjjkhVzVRzVURm= EYrmuRFRe3lqovC+/nGJjGJJzxjVEnfz3cVMD6XqR/r/AGCd30ilX15+kQjv99yrGsDcDrGbkNQ= GVTkjtg2KQywTx69ay2GGs2hnSUkzXEbI8N4Z+5Zo5OwcpqwkeQKeCNXbVU7i9UdvmeKV76+OBI= VrOg5J5NldIxyxiyMzx+XCkebQzzgUGD2NlEarEQhbOsOZGO5ain7xS4XgzhrqLtGQLsVG9tgQS= SRe9ht34R+x9YiNJ+88lZVhaY6K4NsFdhYBNT6tAQFFKh5FUm4bS9bMrbaTbnGrTJ86JhWH4nWN= SdbXGQMqaqoioxFY2RKkSmCA1yI5WMc5VeqOVrOeVRfbjMnbPOMfrcixMeI5NjNtFDNqrWnFV2V= VOiEGjgHiSIzCxyjUbvoKxVREXj0541zae0vwzKY29v4S9YeaM302j+XPObO9JeLZKLbPEz4yEQ= xlyXcOzmdrMotI1i4g/IHeSOjEE8ImOb3azXszsW3TwjqmTDtj7272Y2Ht8Qr918r6Zs9yKDuji= zcMyc02FR5DsxmFUcvyCjbiMaJZ0clQhjtGiMAvKO0qVxepeBY1YRtocCReOh9Uh2huSIiGBDFg= 1iDotuZFV2ONJ2fo86nzEwtXwtU0Zky+rjymrVVLPRUucOghmzSMKxenWE09g0YqjODEOmBpayo= iI1jItbAjsaiNagokSOz3NaiIjBCai+iNRET3Iic8Jq+CyhyhtNFOGSF/90oCsKNf/bYqt+39Wt= NzqBEsqmFW2EdkmLNu6sEiMXlRmE469wyInCqxeE9OefTlF5TUdHW9v9tX0GUOHZNOyPJsVXO7y= RT11ZD8zaUZARfJ/LJUHIQgYUmHCsEmxWqdCGeB3gjJ4b2o1nWbU+RZZU5rVQ11RBSKjSQ5bl9X= mlbIHkSK0FDQxT1U7AuGZYo2KorO1kVmGToqSevqYaSnUPPOwSNCyrqYi9tTEKDttuATsOYxJzO= mVSnEGYaC05HdoAySg8R7uEXgYyO5VV4+pPVfTlV9E9A40ZjfoxhNbz3KjRta3n3c9qIjefz8cq= nHw017F8ewjKdq8f3bpyXF4/K8coMro7jIZE35QDDugwrCGVkMyi8k98aW1VCQPcPnjhqpwi8bg= ZCbGcQvbiIPvkxIJXxWuXhrpL0QYe5fqahHJ3L68ce7nUhWgkgWuEbKJIVn9eIwzaGQOFlSVEmj= fQdLxyBXjN0ZQQVxCnZadZZJAP4IkZiLMbIpL6SL32U2sbHpzxdt81wjHSNBeXNTWGVfojlSGDf= 7uf7qcqi8J68onKJ9ac6y1PbY7eAbKppEGfHcvchojxvby717l7eFRXe9FciKvx9PRmRdtFAOly= HJ7qTINd1qWFnJe6IMAbGXyUIiy56EaonoRkYIBMGqP9e7hURMpS115t0bG8vdKcAF1eLTTqUYm= hC+FKkNFXq5jHqF8hrXtepxrwrURGp700x6dKtiyRFV0tIiMTLHExARzuQ177iwIsTvbFCma1ok= 1T00MdP6hIVnM0UTlVWSS50GzMLqANtQUkjDznx4b2dj4wiNR7X9itRze9rke13CoqctciORePR= yIqLynpV4cVVVVAxV4X/dReU49fevC+icevpx7vRdWld2j+pXe/4L+b9P1/H6/r9zE63rIJO6gF= 2aPiTa6M63kY+2dMsQhn+fjeK9ZDhO5jrHMMaujiY9TlVw2tRXO7dWyIHWV2npIEhQyE1VXBS69= 1ASITunFkZmVVjj1OxYWGLSprkpXpI2grZ3rJhBEKOhqqzSxBYvMaaKUQRIqs7yS6UVVJJFjh+4= WCRO8Y0Zz8PTn0+v9a+/V/UdGb+0JwnCd1tydopWFZHLyfCLDFMfxwXn6uGm4OS5dke2GKVsClS= U5oolcO+3Yx6BNuZkhQQViWpJYQNAHx9fz/2kmIbbGdT5Jtll4Msr20CZNSCtKOVFxkt1kGf0Rv= P3EI0uM+PBXb2xnrJEJyGiWVU57I/jGcHgEEkA7jE6xsCRa/z/AL4kudHaru7hq+vP1oq/Hn1VP= vRONXPCY5qNc1FT60+r9SemomZ/tatmKsebTJmG5ktTic+LWwLiKeskV2RzpVxSVAosaY5wIUE5= m3Y7OKM8orpNZElyh8NHwqh23tGMIg4lnG5UDBMkudr8TFYAq81h3FAwWVXVbGo5cisr6cklbSO= IgMggPizyAKE6IVUY1GIrl8/Mny7vywmkXJtuetgD7rgctuuH9lwPDjK9xMcq1eQjTPIkZrCqVp= EKhPFYrSI5HojuUcir7l9FVFqXDsRI4jHY5Uu8XlSq6EFVfyjUVXKreVcqNajnc8qiIiqqJrSNr= 9xzbo7aUW4MGnNSEyOoWzg00+WKSSO57HrHFIlhEFio97W97kE1Wtd/d9OdRnZj1I7+Yhc5jluR= LDr2Y7HtwU9TAsQSwTpFWKwmeNLgDa6OKlmCg+GJzTkkke5pXlE/kKmFxLMDCcPDw0ONU4kR7Cp= 2Qgp/aDd3scvDEVVa9O5OVXhyqvvVefq4JhjiIVcZpleiI1HeRAnCJyiIiI3tRE5XhET05XSNS9= 2p9Xg1fn560lhKuMR2vLDoIshgBGyPcHJGY3XR2yZCdkeO+2uK4UiSXlAxBPKrVVnC/cb6ltuZI= RRMsuIuIZQEOTOuqCwO47Kp2J5BmGOWhCWgRLAdHNNwPKD1z1KwkuFWmK0fLVRTBhYy4FhpvF8T= G6pynVVK/wAs1r3Kq8qviN4e1efVFa5qp9SprZgRgRRNBHE0QmMQbGN5RrWtRERPVVVeERPVeVX= 3qqqq6RKt6kdmrmTWwazNa6VLt4R5sELGSWq8QCTQOYYjwNFGO89fMCEEh4ymIFzRtdy3lOMZ6t= cCvKuBkFp4uM0chuSumzbUw+YLqOeCPDG4QO95XXMGbAs4TBtc9QSxsVO5F0YMOvWP689qce93C= qiL+fj388e9fj9uLk1NRNmwLCbVwJc+qWQ+smSIgTS650pjRynwpBGOLFWQNjBnUL2KRjWterkR= EXVsV3a29zeaSrxXJq+6nhgAsTRYTyPKGDJTiPKK1Rt7BGVFQTnKniK1yM57V4iC9o31TdWWxu7= 9PQbKMlpiU7A416V4MSJeiWwAfIR2bllsY/t8Hwalr4/95FMzsb/a86r8xr4ssp/SpY55EDqhFO= hkkGshb6VZTpAve35899j2E7D5l9IXaGHs1lNXlVFWTUtVVrPnNYKKi0UaCR0aYxyniMtuGoQkl= diLYm3ao1VOEVPVE44Tj4+v18L9f1c88aueAq+qcfFPRP0p9f59Rcx+ozqRqML27nTsa8xPstm8= LyLJp0ugKNgMzuae3m2sd4xdxASgmgx3jr1GkcYEmqYjCMAMm0J1Jb4tymbSw6CLd17W4iGJMj0= sprnPtYu1ppsxzhCRngSC5bk4GFV3giJTNaNF8KQrXopVdFcBwHVXAaOxAdUcAgi4IBsdr3Bvfr= mq2hloK2qoZHhkko6qekkkhl1Qu9PMYWaJ/VMkRKExuAAylSAL7SPLHd6rwz19/HPr+tP+Pw0IB= U9U9P1ffqP0HUru/NySkbWYb8p4hZPpYMu0FU2IZMGbOBtxHmyHBMIbnxYd5kWRVsrlqLH8mh07= wxDP1IU9eGOd7uE5Xn6vjz7v89PIQ97dLDdV7h0IPd4d3LEQqRbVbwsx7gTyPz0x5/AX4J+pPv0= LHX3+ir8OP9fZz6/pXTaMq3itpN0WrxC8wWgg1RjusbnM58gYbJ0RVQ0CpHFGo3KpEURSvMphK1= UEBzvRb5+pHGanZrPt2bcb/KbfVljKtokRpUSfNixvEgwap8hjSkJcySRYkFhRtN40sLCjRy9uu= 7W3vbv2Ucu/b53vjmw8dvEnf8zj2bhbIWtzlEzcjbzLDYfnc2mh0VxFsYQr7CMxqa10p0GtyjHz= +HITwmzJAQWVROhyAsM5ZQLIYxx0afsD0Y7hYdiud4LeJtxsrg2a7l7m5pktDsRAYK8zePnmYXl= 46JZ5TZVUL5CqRVdoKoDCgVcuyHXiYCLYUrgiaiiYz7QrZW+xSkypsTLWw5+FV2X27wVDJIcbl2= kOVLhYnakdJjkZkkh0M8UcMcdw2SuwcgweXqPWL/2l+yVMAE1aTPEj1uTQ8ezwsykBCDt+pcoyn= GJR8gd54quKI+E5VJixq9sx0sNSva4bjj4eWrkWMxK/qto5jcaCdNtgPVudNwQu2mwwtrfPn4b7= X23sO7Dvp+wu1FzApa25wipsYePUdZjNSGU6UVkaipgeWrK96JJRJQYcd5wCWV4xEDKmBV6imSm= GwjOlrp+HGHEbtXiyxxIjBidHkuYwTPC8MLe6S5UAFQjdHBz4MdyK8DBuc5XNkq/aYbE5FBr5mN= UG6l/54wIhgVuFHearmzpxYFVEs2lmCQJLUg0LDcJSjeF6Pc9rmvamx4R7QjZLMbWjqoTclRl/Z= 10CPcpVNdSQUyA09uMvtZj5LCQyXUesmyBDZHN4DQqwzmuVE00JmXZZpFG2yuy77b+rax/UX2tg= w9bGcVoMNp4tBjFXEpKaE4rotbBY4cUCnK85kExzndqEMQhXIi8K8jnccqvNdhjNJanSTYV4JR0= a1jSkR/cjGqqtby0jfROV49NMBP7TXYGdTZDNxSLm+U2NDbT6slVCx10QsgdapvM3ApE6RHjrTs= SOZ3mkI4nDE/sOVTTodleobAN8YqlwyXKOcNJTXk6NJC0b4YbthljBK5r3p47HRzNeNe1eEa9Po= uTXAYXvqJY/aJOo8rb8yfHn47YMKoLDscARpA1YBva4b0cxxk5cJ6PYqp4vDu1zUVO5FT0TlFT0= 1U7D8ce5XOq47lXs5VVKq8D47E5Uvp2oiJ6JwvCcoqaaVuNvPv78+uY7WbOYVt1kMHb/AG0xDcG= 6bl19d091fEyq2yiAykoCQYcisjSGCxt3hSrQgweYlDQqtE17kSTIPaO4DW5N05wIEGE/Gt28fw= 3K9ybm1v62rnbS0O6VkHEdrzTaw52mtDZFnhi1M5sVrmVdRXWF0ZyRxjV/d2++/wDO3h4+HztYx= IS/DsZa5zlqQL393KI4zfVysVe3gvoqq1vq3j0ThOE9NbKJ7EaxjE7Wona1PgifV7vq93r/AJ+v= OopKPrt3Qy7djcza7DsR2zym6ocw6hcFxnHKzJLt2VY5Z7LNyJlDkG6wPJOgUOLZ/Nxx1ZVy4R3= ymz7qpEMJhrKeJFen72tt1uBtvuJkG5+0sbEc9o5tZFwDFKa1lyYuWpbZFDwsSWEyeEb6dYmUT4= YpRXo8RK2Q2ZHUnCNWwiyzMKrLcxzeGPi0OT+jtmUxlTVTR1D8OKR42YScFnGkyIpRWIDldV8Rm= qoUrKShJb0muLrSoFY8V0sTGpAsZCDdUvcgGwOJzNGoz+i/r0kdSmXT8HyTHaKrt1qbK8obbFJd= rJpZ8aolx4dnXzA3ceNYRbGP5oUgJWjfElx2kcN7Ht7Vkw1S0VbSZjSw1tDUR1VLULrhnhYPHIo= JUlWGxFwQet7jFpXUFbllZUUGY001HW0r8OopahGjmhfSraJEaxVrMDY9CDg0aNGpWImDRo0aMG= Gb9e+H5Pn/AEd9ReFYbTTMhyrJtrsmqaGkr2MfMs7GVCcOPEjNI8bHFK5yI1HPair9aa4tqjoV9= oTQ1s+nptiN1a6rtJUCbPhxo9ewMqXVFU9eczPlDhz4hXKQC+na719eETX6A7wuJx3Inp7/AF96= IqL7vd9Sfq+Kc6udjvh9qffr1HsB9K+b/R9l+YZbQZRlOZ0+Y1sNdL+8455CksEUcKBBFNEo06A= 4cgsG3Vl3OPLO3X0WZb29zGhzOtzXMsumoKR6OIUPBAkjklaYs5kViT65TT9Xa5Bxwi2/Tx7Ui4= jQ4sjZ/dMAIYXD7IVfUR1lle8D3TZyrOIsif3RxKkt3BkRiIjkRONatF6SfaYw4T62PtDvEKvfK= lzvJoKtcBJk57ySpSDfNc1JBSPeRTpwVj3OcNzFVV13x9jvh9qffr54a/4U+zWzj/aIzeKPhx9i= uxkaFw+laCpHrgghz/3O7KSSCdwLj3Y+T9n3LJWDSdr+08hClAWmg9VCACoGi2kgWIO1gByvf8+= 6N0F+0EhBUUPYrd2KN0h8pWRXhA1ZBV5Id7RWrEIR/r3Pfyqqvrx7tZXHuij2jWK25r+g2V3frb= mRDfXlsgpDfLdEJIjynA8U1k9zR+YhxjIjeOCCG5OO1Nd/vY74fan36Ox3w+1Pv1Mk/aZ7Tyo8c= nZbss6SC0iNTVbI63vpdTVWdQT9VgV2G3O0Zf2cMhVo3HaftDriYNG2qlDIw6oRGNB57ppPLfbf= g1ldNPtR5y8zdrN5ZTvCPHa6QCpKrY8pGtlgapJbuAzGsaksacMko1rTte1qImGjdJPtL4bJbI+= zu7zR2BHmnCfHqyCkvfIs5b/GGSY4ZGPNc2jnDVvYqTjsVFY/tTvj7HfD7U+/R2O+H2p9+ow/aM= zsCw7GdjlBN7ChqQBdi+w9JsoDMSALAednz+z1lLMrt2t7TMyiwZpoC3IKdypvdQQb32NumOBxn= SV7TIcvz49ot42zEiJBbJRlchQxGuG5keOvnv8AZxjUQ1C0HhoHtXw+3ud3Ya26KvaN5BTMx+72= U3fs6Yb2EZXzfJyI6EGZxmP4LZOVXsK9xEcrlXlff79d/nY74fan36pUSqiojUTn9H6vf9+nF/a= R7QJIkqdkeySSxlHR0o6pXV0FkYMKoEMAzWNwRc8iBbhv2dslcMj9qu0jI99aGWn0sCFBUqYyCD= pFwQeQ5735ven7pP6hk9jl1DdPMjbi2o95czlZMuL4ffFi10qcU2TUNlDcp0OUARHDDM9j3kReG= ccIqppl0zB/bhzsDNgRejfZZ1SbDXYUOQtxHdJj1qUy0gZMdVs/DFYAjL4gpLWoRpkV3PDntd2I= JHXlFVqc+iL8OPhx/wA+fT3cLr6oe1FX3IiL9aIn+v1a8RzzPm7QZxX51mGWUElTX5rNm/DZJXj= pKuYkk02qa6hQxCsSzD7xx7TkWR/9P5Pl+TUFfVpBQZdHlvEBjSSop4wNp7IQ1zzUWXa9t9vz4o= /spvayrj1DTWPS5hFvOosMo9tXXs3IKlbC026oMuh5jBxKxG2UkcsdZ9fEgSJyNSWamElc53hqq= 68G4Xsnva/7oYPk+DZpsNU3ULId2LHd6LZTMtrJNpjl9bRZEGyrMfOaW9K+inxTjZLrxNQJlgVi= uaiwQcdmntC9893enzZWDn20UVprT8LYVLayi1VZaQ66LaVNuyrlWi20uDArKYmRip4VlbmkJ5I= UtFY1xCtREywHq93rHsRtLn+Q7aW+WZFn+J7x5TKjjp4lNYR4WCDdJxaZIr4lmysDX3gFaUb4ku= SewryRZdex7juVscZ/IH0eiU+sWkHqvYbkAgmbmNxzBt0Bxct2UmXKo84NaTSTVTUQQzIZzKAZS= zxcLZCqEKb8+guL8UK+wX9p8uPtpPmDD3Jbss/H/C2j47WxCxvB7VLyqqpEd3c+5FTj3akKwP2f= XtQcG2vqtvIXSYMpKukw6rBaJn9ENGmxi4l2p5KBQiKiTlleEjOVUas5VV5105ZX1uZnTx8rHUb= UWU+bAosAscQkpBtZcLLp9rZUlbuDXwgMLCc02KScjqxQhPnhJMcK0eV3hQnPd76/rC3QJWTyy9= qVkWrMLrM0pItdFvmwrxltAJEjYuKXKYxIuVQ8tYyntq47vEhgK4iCIgCGdnu2GW5R28yaTs/2o= yilzLKpamjrHpjJVQA1FDUR1VM+uCpR7RzRI5W+l7aWUg2w7kUuYdm645lk+YzUlYaaopDLwqeX= +BVwmCdQJImALIzAMBcbEY5FdxPZN+0vzfqgyjqGZ0rshQsnsJFnIxJdwKhrPNmrVijU0mPIF44= wzGBmIIjVY5w0RU7kRdbLc+yu9oXkQgpa9FVa00SLC8osDcaBDCy3iMpor70gQyRtdYSYNbLYdW= o1CntJpHqrSu56m5XXVnpbmWOt2ucKkDtiTK1n20C/AyPmMbGn2svETSBv7XyxWseXAFFWHFLJi= iQ4ZjjqoEdzsFuxkO7NTksu7pokBtJawINfeVQp4qPJYs6jr7Y0mqZYuKdFqpU01LPc2TJC+dBO= 4JEYqNbZZPLDkGTZVkOV0UFPluT0NLltBAXqJWgo6SJIIIjNLO8knDiRVDOzMQNziBU0ctZU1NZ= U1crz1M0tRO+iBQ8sra3bSsQAuxJG46ct78OGZ+x99ohdYjNxzFej6LiljKr6kDMlDuPEkWg5sR= 1ellLRzp3Y1LUEeeIrGN5Gy1nsRe2UVFb2L2FntZQNRodqrYTfDQKtHuDEY3wfDUfh8NnonhoNV= H4fCt7FVqJ2rxp6lZ7QPrszPeDe3GGdVO6lHVYLXbi5TVxa+8gRRlBiduwQKfzFojYcIJY5/DZJ= M9ow+G1Hco7VnNur32qGO5xkOM0PUfuva09bNu3U91dXtZi5rfH6WPeT5OQJDuLCOjKwUHGr05L= ETyVpB1hTgkOjyITz6lKiuAAK0KtpVvWWY7OAdwCRsDzvvzJ5YpDHTNvrrGF9NwIR9WwNrdBuNu= e3dh6HsHPZg9ZXRp1eZhul1C7bDxLELfZ/IsXi2qXtfZkPe2F9js4EdwoxXl5KCBKI4rvTlvCry= 5OegvqP6YrDcSdItaafbiBNHOU8OonvhkQ86M4RHmA5fAlg70GVGuVpWlRe13byi8juWdZPtPaX= Ki1dX1L7r22NRwYjJLkB7+thtauS4tRZEZjENJYIqRiWsqDCkBVwLItbL8o8jwSWCsZn1i+1Uxz= I8qqoHUPujY1WO2EsYp8rJKqDMk1QpjosW1JWFmMlijSGo0qlQCgEJfFe9gvprWVVDU1k/GeWmD= Mqj1eIF9S2w1b+/lc8vCdTVkFJEsKR1DgEm7hdV2sbG23l3d+OqTp06M52AT6uVaS7MkesAIBS2= 0tDGlNAVTtQEdvKC8Yj+47yPVXK30Tn1XZgdEF35vcSUfcueg80yWZewooVmsBTNNc3FxGdHa4q= oOXEfZijscNqifFi+A5nYVeORa19oD7QyPRbQyajqu3VnX26Ui+h/JzreKkaFKproNMwUSQjmMk= +aIXvGQh2D9O1pFRyP1tmXdX3tTaWXPJj3UruPd0dVUV9jb2kjNMarnVJ5MeM+TEsgSLcT4TxyZ= QgRmyEY+Yr2eXQqquoM/Z95zGZpIbpq0eu6jeyuTpIB7t+g54vMr7XVeUCpFBxIvSvRxOWhgkLe= jycWEfxFbSFdiTptqHO4Av131vTBuJTZdHySFumacFsq3tCRrZs8p41vf4vGxqykVpxma0EcfkY= tlBjuYrAzVO9U/tE1ZldIVzNw+Jjsnca3LZ4RIyGVtXepMswyKZ1rkhclrA5MwchG5DEp5UXHgi= CX++OhjOVUc57XcdX/Xb9rQohGXfncpjZCEWG0ma0AjT/AAsei5W5K2M+0bIsnLj02JZsZBFIeQ= MgTGNcZ6C0+P2SvXP1n7u+0D282d3u3wzTMcXk0e5T73Fre4FYVpp1NgN7awEP4DyBeWDOjAMiN= eqhkC7X9pBq1Iz9nFjjlkLxuio8jKJJWFiEYlQzWBui6TzUoCN8WK9vc2lmgKuI5FaFY3FJSIf4= SyhAxSMFgUqZ0cEESJK6yagRjo7yTpVym+tcosV3Osoz8gyGBnNedHzCS8bzSvqcgomSatVMgVp= T1MrHIEmoMxQnj00hr0V0x79eKn6TcmpsdxatibgeWvcOyMuSwMgissBHupb8iPkIoWSAWR2T6+= I+Uavjh47kgijCcvDXN1d67eqGV0tbQFy2miR52XZDaMxrEgzxHLWhtTwZk5JVh4DHK2OIUErGP= KrANklAshyB8RUgs6cfbIbsXm6wq7L8lrc0xQ99DiXVU2lHEkwoMwq17Vx41ZHeea9tg6K9kg4o= TBhmhU0F0cRTNzVRPQU07q0FUxjSNp5Y+K0dOkzgoznV6oJGq4BbSNxoG2kgzvP5qeniOY0MPpE= hNBSzU9KstU9LT+jMsOmA/wAMRSGEq5SNpHsFeZwTKH7VvB8nu8D22u8PwnIctvIV7ZV85+H4dH= yy8DBlV7Xx2lEQgCgrmymK9XKVUQit/s1d66Sb2ZO1ea0XUBu5uk3bTcnCMEyrajbjHbiw3dqgU= 9zY7j49MtPlCJt9VJOsJFNgkWqNFeaGixIhbghpAI6q571kiueqba/Hc2kYNfzp1VMjQsblOnTA= jQEh+WucOiDAgCMW6sGyzN8u+XCrDQYslzQyJA3O5TOy+pjYyFYAqJW5FDGtJFrKo2V5nyxy2W0= M4I8iHIE+MhIhByJUUHfKQInlkAYMjlKzunotJHUSVSkiWRBE5L2QqmnfTy1bC7W3t5x6jMO0dV= kGXdm5aR3y2iqZMxpOHRs9QXqUIYNUKGZoQralj9VUJB2B3RjrXxHqcyvIOn6Z095i/E6TGc9He= bsRRyDBLkGMR7/CnrXCEOOcMoq0YstYMEtWAUh2IvBXCIOO+d06deG5INgoW7OSw8oqMM3Oy/J9= 0qzNJYsyg5NVyct28fiZKmul07YQo9djsDNhLTyGo2KOc5sY6zJEU0eTbCetPY7J8dfkdxllZiE= YpSuiQruWXz5YSSI8aIU4BReI0+asyMUNQjzTnAkgkCaUBmFXY63qj25yLOZuFYseTkboNfhkw9= zXNIlUhcxzK7wkUFhpAheLLqbWimJajEpFikR0Q3hSwmE2Us8chCqVYvcABgS1xuLDfcX/ACxSP= R5plrPUmGso2o/4pqVWWEw6CoLLMumzDUBdWvufHEakzbn2ii7G1eKU+YZDX5mDG59fetn5mKW+= 1yZl906ST2mO2seiEzHcfsa7GN9UxuldFK/G4WT1tejytK10aYmBj0/INpqTHcmfIddTMLp4dye= VKWbLbdNqIrJpjzVYNZchs9CENKUY/HL3G7Gq7tbgrbe3a2iDRSLbMauIHJI1PLpCv82Rs+HkAb= WRTyxqGMTwo08FHbGHIP4QmDgmcZ4kRvd5Bb9bSFCY7c3qkEE1zHehGzQFQuPQ1sLdrAFiskEbD= hJ5hSjE8Rxq3y5DOc1FdaN5UZTA7I4KsADuDdTa43587+N9sUktRRuHhlqITqXS6tMlyHAB1Ete= 7BtydyTvucN83Nw7KM3weFtxmRC1iVNjCPGsqmaeBJOKrK14HqQkY8KZHmC4G4SuGULmq5EVyIu= lNpqDJs3nYnX2IQR8SxFYclicyCFkSIARhiDdKkDC+WfuE0pSsEwTVVUG5/K8bazfnZ2cyrePNK= uW23Uq1zWRLOQ8nlwzJB1MNsB74KAHXzXGWc2MgvLvQitd2ouE3o6haLaDpq3O6jqTHrzcel2/w= K3ziBjmMwZjbnJgVkZxxRKyMaH5piSHIjnG8kTw4qFksERjU7qKLs/Sw5hPmZi0VlXT0tHVVOh1= mqKaiaRqSCVixQiJpZCLIDvuTa2KqHLqaSVrVvpAZYdcauGaSOAgxLIQ5uouCSANVxfa2HL+A9z= f93heP8vqXlPr+Gm2J0q7ND3OdusTHVJlXm0sU8aWckAdqhfFSzHEc9WJMR3a5Hova1U5a1PqhO= 299vrLyfpdybfGdsNiOT55P3S232b2Z282h3to80iZ9uBuq1q4/jOSzJlRUX+31rRvQwsmHfY8w= LHgX5OLIY9SD1zrA6yt/Ms6YscP1j9JW6/TPmGJddXSXg9WPbPfAcfG87FnWVsdWXmP5xTQRWNv= Q1D3eWyzGLGrjilG8BgpiEYqxptfk+WZr6P+8qGmrfRJ0qqYVEKSiGpjIKTRhwwWRSAQd9wDzAO= NbQZpmWV+kHLq6roTVwPS1Po07xGankFngkZCpaNhcML7gkHYkGfC96X9hcuyHJstyLa/F7jIsv= rSVGQ2s2KUkqdEJKpJhux3jNbCkml41j0ok6AyNMfIpKw6yFLECRuNk9IPTjLpWUMjaLEywGiih= ejo5/NHHDnW9iFJVgkhJ8tyzL+6MZ8mQV0j5UmDOpBGczXPHtZ7Ynqr2g6iPbDZJ1c7Ntrumnoh= q8CvKyHj+bVlpaYNYXtHWQNt8IrI6VYC3srfEtqHJZ1xJOyNiEtjK4oDsJ3o9n2ZXtlRddu+eUb= AZhtliODZpD2tr95MUtds9zPnVxGfi8uyBV2OM5JbJj2PrQ57jxZsF9jVtZLhyBEMWJI7BN77IC= wsOQ2GIOJb/wDq7bIOooOLl2pwY2OVtiW3g0R8frz1MezNCdXkmtgmESO4/k3LHE943eCzt8LsV= rXJpP8A1P8Apn8WwV2zeGIKzrHU8yKyCVkF8Bw44XCHCYdsWMR4osYTpMYIpThxwscbgbEa6HWs= ZHYSaunsZ8KP5yXGjFLGiq5G+YO1qqwSLzzy53uRF7lX6LfVU1FrauKgpKmsn4hhpYJaiURRPNK= Y4I2kcRxRK8kj6VOmNFZ3PqqCSMdxxtK6RrbU7Ii6mCLd2CjU7WVVBa5Y7AXJxjKDCsYxLFo+G4= tWDpMfiRCwYlfGLJe2LFM17HsCaQY8hFRHKrHOK5zV4VqoqejFtxuh/Ic+squgDm1ZVbc+WPFu5= YqruziXUrKbKBQQ5yu8pGiPISUsqR2KU6F7yckV2nBV9vuZuTRRzw5ULB7CFbIOdGeyQ6cYIXtc= rXiK5qhRzPVGKjkK1Oe7t04sE4MaNHZKlBcVEZHeV5RDQshrUaRERzk+mr0VVZ6uRV44X01kex3= ben7arNV5blGc02Teh0FXQZvmdKlDFmfpgmMsMFHJJ+8KeaiaIR1CVtNTnU68MMLkWOZZW+VlYp= 6qkkqxLPFPS08hman4JUI7yqvAdZwxaMwySCym5B2wmNps/TW2NLhcgssOPAxzEaatLEmEj21fL= wy2W6orONNaiuFMrbKLVz4xkRVSTF5cit9FR9vR3hUvILmXfWl5d45Z4rBo30Mq1kubYW5bDdKx= yLJrwvp5+1tJO6NxICf6Kx5Dyl7V/s0R2hLOEIjAlkAGUiIoxkOJj3o5eGqxrnI5yOX0b2ovKpw= nrxzWywjEeQYyjIQLlYVjCMe4bkVU7SNaqqxeU9zkRfza3GKvDdg9Le3A6hKkwraUiiqRFnksni= sJHyLZWFpBIaQBg1eVp7KSwhPR5RK1j3KjU1h5PR7swtbKqoNDKp4MjyxAR62zliFAmRGRRinwm= EeVBS+2FFQhOVQiAYit4TTpPOA7WP8AEH2kd2Md4jeHv5VO1q88Odyipw1VXlFTjlF4QbqbvMhp= Nk85scTqswuchZWiBVV2B20iiyo8uXLBFGtXcRYNiauIJS+KSWyFIUIGkeo1Rq66VS7qgtd2Cgk= gAE9STYAd5xxI/DRnIJCgkgc9v1/TGUwXY3Ddvsjssrx8Usd7c1FdR2so0t5GTa+pRyVoXx2sYF= qxO8nhKxqceI9PXnnWQ3GwrJcrZVpjWSRMbPDfJSaSRTQ7VJwTkhuaFVksc4DRIA6f2SohFOivR= fDbxz8G3I656zcLGsfy+36gcdxGPkGQxDVa225F7YVgo1nBZXsutwMHwOwblgJ8Z5pVaY8WNDBF= c6PJksIx7WuSyLNuuBJWTYHBnbmBibGWlDNHnkavnEkbzVe426eGDxiGCV5dprR2G7dpfJlnaLv= BJnOdLYN0dypLagb1Bx4CHF7k+rpLKlzc2PrMo7wSPfiuTNCCzrTVSMjMospDFgusgAC4OgMd7G= 1xtiUN+3G7b1M1m6gWsfXQIwGfg9Dc2PLjHpHyZiI/lCJJBDtovhP+iNtp4jeHiXn6LbbeBsdI5= d2hKqSrAnmY+NwQHWLIQvkQLw3s/wD2f/YoJyJ68vcv0ms4hR2W3b61qzbXJt07iRvtmWf7V2mJ= 5nke1tyLcc58+xb5dt6HMcUqKHJsUpsfbYiqbcGQV0bHLa1c+VQxWovg9riY3Ldx/aTt21sIeby= tz8fyPZvINqcJye7wqDkcVm6bt2t0oudZDlFQfFau5uy1W2e0qU2D2M+rrZZYdpPyFvguNH4b1+= 7pAxQVFNZXVD627EgXKgbkC6XI2GoWvY45OaAKrei1J1oXF0LCwF/WYXA1AMRyJKkWvidmgwXc6= usqk9puNHtK+HIaSyg/IkYDrIS+SV6IZqd0ZVcCS5EEna50t7nfSG1dLoRvex7OOe5qtVPii+i/= ZqAyDuF1Wy8i2ak4kDqBBWVtptTBzjPMgy7M7XC3QMnzTLG3T7TbbJMJrsjydsaoqWVVxakSFIp= 1taOYYA6+O2Ws+rfcn6E/4ajSwNDp1SI+q/1SDpK2uDblcEGx3HXEymqVqNdopIwmmxdSA4Kj6t= 9jptZiOu3TZucvppwcs69NDdPg1uSMlutsf8dk2lWbM5UtrXQprDtqrLuVSJKguE9Sdr19WppR6= bazCqjEY2E/IMGbj8c0SS+HYjSek6bCkgmgn2Dj9yzJrZsYMtTn73KcbH+9qIijaNM4lYRuV0+b= LTJ8iykbZ4eSZKh2sCSZaiOxDxLwss9qIwmMaEnnCzpj3vcNSDWSZAvGhHIuIB0vdP0d1U4e0uE= otKsl1b3U4TIF8uZLsJJCtL3tllLNsJ8pSzEkFQ0+a9r2rLkeIvejRgwkVBsLs7i8KPXY/t1itX= Ciujujgi1QWoJ0SbJsYrke7uIqx5syTICrnuUZDP7VRvCJindNexSS62ePavDWTKcI49YYVQACw= xCcrwtE0XYzkDnPUD3tc8HiEQTmIR6OXLRowYbJO6S9lZo5cZMGx2PXy7kuQPgBqorY7Lg3/nJr= URqO7iKrlIJXeA9Xu7hLyulA212XwTak95Jw2grqeRkcgEm4NBiBiumFjtVgnEaFEajRscqMGxG= jYir2sTleVb0aMGGlbn9KcHcXcq63Jhbnbk4FNynDqPA8trsJvG04Mgx2hn3E+EAspony4J+6+s= gkkw3sK4JUajmuYi616P0CdM/yLm1Hbba0WRBzavjUkidexhWFpSY9WYzCxOgosbsDMdJpq7Haq= CF1MOIRjoVk+TaCck2SUznraNGDDC8b6ANqsJZkFjh95mePZtmFTuFT5ruFXXHh5ZmsbcSZY200= 2UT0Gi206ivbOVdY3MkcmqZRTMA7wDOGmI259nBsXt/gud4O9l3koc8i1EOVd20xrL2lBQHWdS/= g9MjsR1Uevs0FZjkB/tXzYsQpFd5YfEhejUuOvrYaOry+Kqmioq8wmtpUcrDVGnYvDx0G0giYlk= DXCkkgX3wy0ELzw1LRqZ6cPwJSLvDxAA5jP2GYAAsLEja9tsM96cejPbXpyubXJsfk3eQZLZwiV= TbrIZASlrqk0hkyRBrI0YQo8XzsoIZFidjfGmmEx5HIidunhaNGoEMMVPGsMEaQxILJHGipGg7l= RQFUX3soAv0xKmmmqJHmnlknmkOqSWZ2kkdrW1PI5ZmNgBdiTYYNGjRpzDeDRo0aMGDRqypkT/d= VPTn1/wC7n7ePr+C6q8T/ANX7f+7SXHeOn68v64Ljv+fkjzxc0ao71+CftJo71+CftJouO/52+I= wlx3j5/wAjzxXo1R3r8E/aTR3r8E/aTRcd/wA7fEYLjvHz/keeK9GqO9fgn7SaO9fgn7SaLjv+d= viMFx3j5/yPPFejVHevwT9pNHevwT9pNFx3/O3xGC47x8/5HnivXxycoqfH46p71+CftJo71+Cf= tJouD17uVx3fEeeC47x8/wCR54wt1j9TkVZNpbyrg29TYx3xZ9dYxxTIMyOROHhkxZDHiMNyeit= e1UX4LwmvREqoUUIIooUYcWKBI0cDAjaGPHazw2gANGo0YUYiMQbERiMRrUTtRE1ku9fgn7SaO9= fgn7SaXULdCdt7b9AO7vHngudIXWdIOoLe66jpu1uWpgFBI57X6YRzcHb3L8nkAdimZiw2M2qlw= TDDU+cMk01lWzo9nFeyZFEEwQwZEIjSBM0gZpVRWPY12kVrenzfmDUyK83UtazJJzRyMsT4lCdI= jjHFLHMAHNj/AGTTGIk7xGK0rZYmOVzmq5qvN71+CftJo71+CftJpLjv+dviMFx3j5/yPPCUbZ7= e3mH1kyHluWHzyZKlNOywsYQY6xhNjsD5cQEeZOx72kM9znucryuTlW8IimuDGiB7QAGFic9rAj= YNqcovPDWo1qc+/wBETn69ervX4J+0mqXK13CPaip8OUX7P1aNQG4ubWNgCT06D3j5GA2IIvzHS= 1/9+/8AXHEAL2QftF6Pdrc/L67ZClt8dzg+aVRoybq7ZQC2eOZPZOkOEVZ8618AUgDBOMF0UZ+e= 1qvGrXIu+ZL7M/2meSLFlzthIM64iU17jYbi23t2qsrEGOZHXWlXa0EeWQIpAqQkK5so0SnQq1t= eGbLbCihcVrx9oPDfREY1P8/T831pxr7x+Zv7X/i1YHNqg6bxwbKoBZJNW2kWO+42sf8AnFaMsi= W4EkoBN7altzXkCPyJ5/pfjDL7NP2mNlANVX+wFdd1JFrhBrJ29G0ciPFh0kWNBohRlkwzkjnqI= cKKyJIjvCgy+bMwbHTZHfhc19mF7T3KbqyyOJsfW193Pxe2xf5RPvJtTImkiXXIZfyhMgtqpVkA= MQsoUKNJM5kZ5mOa5RiQT+1bj8zf2v8AxaOPzN/a/wDFo/e1Re/Cp+4epJyup5XtzsfLvwn7tiI= 08SWxIP1l7lHce89e7nffhXrPZF+1fqq/FK2LtRgjg4Q6Q/Fiycv2gmTKYkqaOxkEiTZU8stpCz= BDM4jiq9Vaic9vprNF9lb7Xw5LQpNv8TV115JbdPw32lRlktdLiTYLpjEsFbIWNIgxXCUiO7WiR= ifRVyL3Hf5N/a/8Wj/Jv7X/AItL++Kk2vFTHl9iSx+rtzHPwt07xYGWQ+0l5g31L002/Lfx/Pa/= D8z2WPtaZt7ilxke2WPWrMLuI2R4+Cv3J2rpSRburq4NbTFWTEnIRYMUdTTx5MJqNbIroLYLHg7= mlG632WXsu+tvpt65sE313y29p6PDK6s3JbfXcXPMQvZSWOUYZfVcJUram2lTjLJtbELCPEFzRN= I4xVaNjlTrU/yb+1/4tfFai+9rF493qi/8VX7OF/Prl81nkR4zFTqsiGNtCOCFa19JYkDff+lr7= dJl8SMjh5CyMHFypuRbY99+XPu36lpHVz00UvVLtbP29tLCTTTgzgXFBcR3SWeStIwyiRkjyho0= okCbGPIhTRgkxzeBIeQBhHGIiRBbAexayDCtyouUbhZRi4MfFZhurUWEvuWW2QWcazFMG0xHxKw= MSEcQB+YEd1giSpE+SxilkNIPo04aq+rU9P8A1k4+1Of1L+rVXDU9zGp/7aaz8+W0tVLxZOICwR= JER3jSZYyDHxkQhZdBPqFwSAxH1dsaCDMZYI4kWOnkaB5XpZpYo5JqNpwFlNPI3rRmQW1AXF7G1= wDhqGddKu1+42S1+V5RDyCVbUzYDaB4L+3iAx51eQbxFpo8Y4xQyP8ADRhVY1WvZynajlVVTaB7= P/YGtlSJkWtzDzEqwk2hSmzDIZD1nS7WuuJBkceUVyKSdVQiORHcdo1Z6Ne9Ffzyn+Fv7TdHKf4= W/tN0+aWBjdlVt77rvc2vue+488OxZ1msKCKHMaqOMKqhEmYLpU6lXSDawJvbkSb9d2GJ0CdPqR= Y0L5ByLy0SRVTwC/Ca87W21M6qSDcK1ZKtdZii00CAspU73whvA/lpi96hYb0qbW4Jkl1k+PwL4= My7mxZ5Ycm/uJdVALDzK33AGyprjnfHrgkyy+t7QwYzRic+cYXagEYJrseU/wALf2m6OU/wt/ab= rpKeKMhowqMCCpVQCuwG3dzHmcNz5rmNVDJT1NdUTwyqVkilmZ0dSQSCrEi17EAWsTtz3aZP6Ud= r7Wsx6ptY2R2cXGI9VBqHzL+2LJj1dIDJYlXVrIUyGdDhxMtuY4md3iNEYLUJzHC5nkkdHmyMjz= HdislvmJVjNVRWdoNASblILLskVGnakd10KtiBtPDRqTBMeM3c0pe533Kf4W/tN0cp/hb+03UoT= TgACoksOX5kH8uY5WxRnL6Akk0tOxIAJMakkC1hfnbl17vDDWIfS7tdWSMfk1NZbVZMacdanyVr= YCbGFIFZAfGRviKnl0FbTWsZ/uI9iNciDYjc3ddPOKZBsfmWwsS5zPFMcy6jtqUuQYvktjVZlUL= cK95bOlyBHPlQbAJXeMF7e4KcKMgXhIRjnGcp/hb+03Xz6PPPa3n49ya5LyPYSTO4BBAPK+1jy8= R54dipqaBtUMMUbadN0UKdJ07bdPVXyGIGca/6P/01w9vd5sYzndvfHcXP94Mo28zNN67K8xnHd= xMDyfaVz37d3+GGxHGKSlhXdEQpyybebUz51u+QZbEp0VnYocf2LW3lvtZPwDdfqd6od7sluuoH= ZjqEvNztz86qsgyeZf7FWCzcJxuDXvoB43SYz2L5a0DVU8WwnMRjn2CPGFRTS96/BP2k0d6/BP2= k0XHf87fEYfuO8fP+R54iX3B9j5097m7z9Yu6GVZfunJxLrr2roNuOoXZMOSQw7Z5Hb4hAp6nDt= y6+G2r+WarOsVr6YSUc4FusKFLkypY4PjE7kTTan2Ye9PRpUZpnvS71KZJvP1B2uMYrtthE/rHn= y8i2yw3bOiuRTZVQDGtq4mDSZt6aE1wW5LYGmWhyDCw50A+Qw02fevwT9pNCu597Wr+lzdFx3/O= 3xGC47x8/wCR54YR0twfaSxs5tH9YWR9JNvt8tEZKaPsNi259HlDMjWQHwSWEnNcpu619SkTzCP= CCMyT46ic0qMRzVp69tqM93W2+xiLt5jF1mN/jeTuvIuPwrDEWUU6SOEQUMWXUeZ2FPXXtCshWe= YbBuqy5q0V0+rMSSxolfwioi8o1P20+/VPDP8AA39pNJsbG52Nxa452H/9Dz9+FuO8fofnmPMYb= bhWJ5HCi4jYZbiFYmQuxfGYdnGoLFqVWN20GGNlhHi+ZkrIkwwma5AFY+URzGoJXvYiEcwPdLpS= 343HJSUwaDD5da/qq35z2yduOhMpxWPt/llffgxG1lUNHlVBZyyJJmwyVkEFgKTWSVGaVGE0bkS= Yjw/Vf7vKr8fT83P3cpx+fnV1GtRE5Y1V+te5PX/h9WqHJchosjmzSSjuq5tXy5hMhhpk0VE7l5= bSw08M0ys7koap5pI1siOqALiTUVklUsCyFT6PEsKMGkN0QKqgh3ZVIAAtGqKSSSCTfEMVr0rbr= 4f1KbEWU7Fcl3swTbzZnYzBT5+aq2yuSsyjCc2zObkdzNHnGbVOSY275Ns6KwdY4zDvbEwQtEx8= uZXgGTN4H09bvQN+rPI4G0dtglqHqb323ByffCVl+MJX7gbN5bZZfIxPB4lHTZBZZDbrOj2mPNZ= FyinpoeNrXLKAV8qLGC+YPtZ/2bfT3fST00drP8Df2k1f3Hf87fEYi3HePn/I88Qm7h9OnWlmG3= uwmFYZFpcaJsxHyzcmdZZHm8qEW53OJm19JwmqjLjrrNbSNU0ct9nKj3DgU5ZMqtA+Q90eQIcie= 8cfdzOOnC6j4fCk4ru1d4XAKWki28SLOr7eRHiGv6GuvwGJDjTlRZ1dXWozqFhnBkNKNqqRjnu0= fC/2bP1p/wAPr1YWOjk5VEVUX0VVT0+HHKJxx6cablVZYpIizKJUKFktqUMANSk7Ai4tseflIo6= pqKspKtEilelqIalYp1EkMjQyJIscsepdcb2s63Gpbi42vCpnWwe4md7V4XjmyGyW4O3t1D3Lh2= 2bVW/mYybatvxRcXniJOm2eNbl2FxNqDWnlweJDs4Z1lPZMdXEE16Kn2cbA9UsiP0tDlYlnmWx8= RwCfUbhRytqchdX5MmURpIgujyN4sOeWHHrmFFU3JLfIDtr2BbJjPMrm6ns8DlV/uIip8U5+v8A= 7k/X6a+eB7kb2+novKonvX1VHIifq49frVeedUz5JTPcmedCRCv8PhxoRDJFIto40AF+GoYbX1E= 2vfHoNL9J+cUoiVMuyyZIpq2ZDVLU1M+vMKaellLVc9W8zmNKktEzEshih3cIoxENnuz+99h1MZ= Ff4ngO4EOznbk7IXOG7tAzSrq9v8Z25x+lxMO59Bd4+mUPs7ZbgUHJqwdGmOzATLGzjTHTRMD5p= mz7m9OW5W4WzW79Rc0d9Y5iTqutMx2+YPJnQpS7bW+4uGunyYskFqAQK0uEx75jaySURgxkMIcR= hyjY+VLwePdxyvv55VF/1wnrx6cfXqpBt59eOE45ROPf8fd9f/wXT4yuD+MGkmZZ2lLA6So4w5A= Ki3KFrozXc6VUmwGK7/r/ADRWyySGloIJcrjy+OGaP0gzMMvMBQNJJUuVinEIWop4THATLUtHGj= TucRH9SGyG5cbfHaG62d28zHLK3Dcfw+hoYU2wqTbaUzKnJDyLKTLsXZvjWYYjdDqiNWVdRoOTx= rqGOLANWEcB7SS8CRUYncnDuE5T6vRPq+Pv9+vN4KdzXIjfRfr5/wCXCcfmVPj7uedevu4+pP2k= 1LpqZKeSodXcido20MF0ppXSAlt9wyg37hba+KLNM+qM3pMrpaiGBTlUM0EdQhcz1CTSLIfSC0j= KxRwxQqiteR9TNdQlejVHevwT9pNHevwT9pNS7jv+dviMUlx3j5/yPPFejVHevwT9pNHevwT9pN= Fx3/O3xGC47x8/5HnivRqjvX4J+0mjvX4J+0mi47/nb4jBcd4+f8jzxXo1R3r8E/aTR3r8E/aTR= cd/zt8RguO8fP8AkeeK9GqO9fgn7SaO9fgn7SaLjv8Anb4jBcd4+f8AI88V6NUd6/BP2k0d6/BP= 2k0XHf8AO3xGC47x8/5HnivRqjvX4J+0mjvX4J+0mi47/nb4jBcd4+f8jzxXo1R38fUn7SL/AMN= UqVE97f1L/wB3+udGod/zt8RguCbAi/d1xd0at+J8E/X6f8tGi47/AJ2+IwXHePPCZz9sRWM6ZO= JmWfxXTJDzrFr8qlxYUfxHdyiix2iVoAsVVQY2r2sbw1PRNeX5pY6f/wA9bl/55lNX/iHRo04JJ= AANRsBYX32Hvv3YZMMRYkoCSb3Nz9wd/jg+aWP+PW5X8YzP5Oj5pY/49blfxjM/k6NGl4sn3v0X= 4YQRRbeovTp+Hg+aWP8Aj1uV/GMz+To+aWP+PW5X8YzP5OjRo4sn3v0X4YBFFt6i9On4eD5pY/4= 9blfxjM/k6Pmlj/j1uV/GMz+To0aOLJ979F+GARRbeovTp+Hg+aWP+PW5X8YzP5Oj5pY/49blfx= jM/k6NGjiyfe/RfhgEUW3qL06fh4Pmlj/j1uV/GMz+To+aWP8Aj1uV/GMz+To0aOLJ979F+GARR= beovTp+Hg+aWP8Aj1uV/GMz+To+aWP+PW5X8YzP5OjRo4sn3v0X4YBFFt6i9On4eD5pY/49blfx= jM/k6Pmlj/j1uV/GMz+To0aOLJ979F+GARRbeovTp+Hg+aWP+PW5X8YzP5Oj5pY/49blfxjM/k6= NGjiyfe/RfhgEUW3qL06fh4Pmlj/j1uV/GMz+To+aWP8Aj1uV/GMz+To0aOLJ979F+GARRbeovT= p+Hg+aWP8Aj1uV/GMz+To+aWP+PW5X8YzP5OjRo4sn3v0X4YBFFt6i9On4eD5pY/49blfxjM/k6= Pmlj/j1uV/GMz+To0aOLJ979F+GARRbeovTp+Hg+aWP+PW5X8YzP5Oj5pY/49blfxjM/k6NGjiy= fe/RfhgEUW3qL06fh4Pmlj/j1uV/GMz+To+aWP8Aj1uV/GMz+To0aOLJ979F+GARRbeovTp+Hg+= aWP8Aj1uV/GMz+To+aWP+PW5X8YzP5OjRo4sn3v0X4YBFFt6i9On4eD5pY/49blfxjM/k6Pmlj/= j1uV/GMz+To0aOLJ979F+GARRbeovTp+Hg+aWP+PW5X8YzP5Oj5pY/49blfxjM/k6NGjiyfe/Rf= hgEUW3qL06fh4Pmlj/j1uV/GMz+To+aWP8Aj1uV/GMz+To0aOLJ979F+GARRbeovTp+Hg+aWP8A= j1uV/GMz+To+aWP+PW5X8YzP5OjRo4sn3v0X4YBFFt6i9On4eD5pY/49blfxjM/k6Pmlj/j1uV/= GMz+To0aOLJ979F+GARRbeovTp+Hg+aWP+PW5X8YzP5Oj5pY/49blfxjM/k6NGjiyfe/RfhgEUW= 3qL06fh4Pmlj/j1uV/GMz+To+aWP8Aj1uV/GMz+To0aOLJ979F+GARRbeovTp+Hg+aWP8Aj1uV/= GMz+To+aWP+PW5X8YzP5OjRo4sn3v0X4YBFFt6i9On4eD5pY/49blfxjM/k6Pmlj/j1uV/GMz+T= o0aOLJ979F+GARRbeovTp+Hg+aWP+PW5X8YzP5Oj5pY/49blfxjM/k6NGjiyfe/RfhgEUW3qL06= fh4Pmlj/j1uV/GMz+To+aWP8Aj1uV/GMz+To0aOLJ979F+GARRbeovTp+Hg+aWP8Aj1uV/GMz+T= o+aWP+PW5X8YzP5OjRo4sn3v0X4YBFFt6i9On4eD5pY/49blfxjM/k6Pmlj/j1uV/GMz+To0aOL= J979F+GARRbeovTp+Hg+aWP+PW5X8YzP5Oj5pY/49blfxjM/k6NGjiyfe/RfhgEUW3qL06fh4Pm= lj/j1uV/GMz+To+aWP8Aj1uV/GMz+To0aOLJ979F+GARRbeovTp+Hg+aWP8Aj1uV/GMz+To+aWP= +PW5X8YzP5OjRo4sn3v0X4YBFFt6i9On4eD5pY/49blfxjM/k6Pmlj/j1uV/GMz+To0aOLJ979F= +GARRbeovTp+Hg+aWP+PW5X8YzP5Oj5pY/49blfxjM/k6NGjiyfe/RfhgEUW3qL06fh4Pmlj/j1= uV/GMz+To+aWP8Aj1uV/GMz+To0aOLJ979F+GARRbeovTp+Hg+aWP8Aj1uV/GMz+Tql+0gVREbn= W5KLynKrmM33fX7g/wDd8dGjRxZPvfovwwCGI7FF5dNuidRY4VcAvACIPe8nhDaPxCO7yP7U47y= PVEVz3ccudwnLlVdGjRpvEgCwsOQ2GP/Z" width=3D"563" height=3D"182" alt=3D"" st= yle=3D"margin-left:84.05pt; position:absolute" /><img src=3D"data:imag= e/png;base64,iVBORw0KGgoAAAANSUhEUgAAAOAAAAA6CAYAAACpiFWoAAAABHNCSVQICAgIfA= hkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAIABJREFUeJztXXd8XMW1/mZu2a7eZctVxlhgg7HpJ= DaQ8AsvEFKsQN4jdBsSik1IADsJG5KY8oixQ8ARBAglQGQILSEBDA4djI1tXHFXL7srafutM++P= LVpJK3nVbPHi7+crybfMOXfunJkzp8wQjClwAj5KRRMAIKNV+iGxbNmyb6tR9V7GzKmUUDizXd9= yu92vHA7aS5cu/aMSiV5ps1rVguKis5YsWbL5cNBNYMWKFbaurq4ro2HlN4QQe2lpySOCJPzkxh= tvVA8nH2MR4pEiXFOzQcrNPYlVVxMTAC5f/dFEb/j9cWwVpaNBj6zgvDXwVthBRV0kRiTHKUVmF= sph9/+cGhgNeqn4w/Ll+dsP1n0lGAiMMwwDAFAQLfqJ2+1+2+12h0abfltLixAOhojdZoNktYw2= uR7gnJPrF11/bCDkX8AZE202x+pwNPTrBx988D9e+IAjJIA1rzbbt7XVnWPzf7IJQCMANHcGbqr= rNK81OLHGh6sRBQEgCgC1IUI43xsJaPsCGt9x1q/e/FTgbN8pM/Ib7qme4x9xwgC21ddXREKh2b= puWCkl4JwjGPTPzs7POQfAy6NBc6zgV7/6lUWySzNJGGpWdvbqwtLi37vdbt+R5musYORbega46= o8fXdDSpd6WLYsLn735zO0AcNadb95f5zeuNRm1jhZXnPPEHwAASjhybILGGf/QZcUnkwtcHx03= uejDpedXekaK5oIFC2SBCP9DmHkvJyTfYpF3aKo2jXOOsvJxLx4zY/o1ixYt8gPAypUrv7Jh/fq= Zuq4LYD3LyXK5IpLd+q+HHnqoYeHChZJM6Rkej29W7EWAxP1UpCwvN7exvKLi3V2f7oIhRL4mSP= KNuq6fLIuSAYH+Xo2qe0UBH/1lzZptbrebUEqP9bW3n9ra1uZMlOPMciqu7OxtOTk5G91ut1JTU= 5Pd2Nh4we4du/KTTCXoptBPnBcojc6sOvGT23552+cLFy4s8Xf4T6OUH1NeUbHP6XT+6/PPP3dI= RKhOloPuMuwOZ3jW7FnvLV68+IuR+g5jFYd9BFz87KaJG3Z7bw1pvCi71H64ycdAAHCAgaIjwmQ= A80IaP0vj0YbWUMOrl9d8+Eg4t3HHmupqc7iksrKySg1VO1+JmnmCILTZXa5VnIVv17TohK6uzp= MCHYG5ANYCAOf824STawmHlffqhBRFiVBBqn3iiSduOXDggOptbf0uIbieIzazTdzPGWfhcKS+q= aHpoaIpRZtam5pv1XXjBHACTdcFGOSnVKAeQqVfuN3uL5qb2+cZmrIEzDwDHC4SL0dV1Kip+7Zp= Ye0vK1aseBgqCggjt4LgOHAOEALw7rpM7TQJBxhDpKG57uNHHnnk+jfeeKNNJPQMxvjNnLEPAaw= XgXIQrEzcn/guHICmqaG9e/a8uWrVqltvuummPcP9BmMZh1UA39zQkf3ge9vvbAoYp2RZhIOAdj= jJg8RbF09tMCTWgnROhNaAMbEzgisVVZ+e35X7S7fbvd7tdrP+yjsU3G63GPR2nehTfGcCIE6Xa= 1d+fv5bsmSd39rUOFFXtWKfz3PBunXrPp4/f36IxCkRSvWy0tK3XS5XZ0RRhPa2tmOVSHQ6iYYv= bmlpqQXwpiAIT1MibAQACABMYNKUyXObGxuro9HoBIvFcmlJ4aRmLRh1B6PhJdFI5EzZYtGzXFl= 3Gyb7QoDwmaIoZyqR4C+0qHK6JMtmYVHRiyKh70ZVZXI0Gv2OoqhzdcOs0KNRES7HS4hXGyd4Sy= D0JQgkRDiZa5jGj2RZjpaVjdsEoL6zq/P4YCAwzd/ZOa+9ufVSAPfFno1LGACd8z0WgisohBj/A= CRJcjhsjss7Oztnd3Z0fqPL59sI4LdDrf8vA0bF4NEf/vj+tgu2NYcu0hg5YsafGAhSu2yS8n9V= 5466LvPshgB/dFfu/FOHQ8Xn89kVQ/26qqmFgiBEGfBme7vYQgX8UbLIUcPQ7R6PZ+77778/Psk= JAThjamfAf1fVzOOvLSsvW2i1yCtFgfoMXbcygx3rdruNVQ8+uF6H+ZQO8yndjP2eNfuEWzVD+w= UAEolECvbt2yfmlRa+SijdC865SAWjqDD/7yXlJbUTp01s8nk8Xzc1bRYAmpWT87Azy3XVsTOPe= 7B0XPlSp9OxnFLaYhh6cWND09WuAldRQkfkwK6oodXqpvmUQOi74ByUkEBObs7jkysnX1tUmP8z= WZJbTcaoPxCc2KfqAbz44ovtJtDNv2k+ZbHZHi4uL10uyZJi6rrY2tY2xe12H9Y2erhx2F7utmc= 3n1jfpd2sGHCOnq8hMxCSOEhsVEz8BuJqEBE8YWNGU0Bfc9fLe6cOlc7UCVMrVUW5kHNOBVHQrb= J8fE5W6Kc2i+UbkiiGOEBUValsbWg+OfU5DiAUCoWqq6v9S5Ys6ers7Gw0TBbl4ACFWFtbK9z9q= 998c/y48TtysnOM7KxsIzsr23jjX68HRVFaDQDMZERRFLjdbkYIT2q0TBDM2DlSIAriLFDqEkVB= NVTjz3fffXfnokWLdLfbHSopL//IYpF9BAScYLqiKBVJ/jjhAMw1a9aYlFIWr0zOTD2yaNEiv66= wOiqQhJUz7Yz+tddeK5w1c9YbBXkFSf5Nw9QO7j/wN13T7IRSYrXaii677LKsodb/lwGHZSR64I= 36srXb6m7piJhVDCBDkXvOOQh4XHQztNL0J+eJxxNzGSTU07iKGqez16uXrd/f+o/H3qv7xpVnT= dg/WJ6379p6ajgSKY/Na7QsT3vb9xNTpiSLnOcZzPjasmXL3uYDsJwEA+p37x7X6mm/p7W1ZRql= VBFEMUwoZQDATdMCQvo0Wp7yEwCCwSBnjBlgnIMSJtpEIfV+Xdc1EJgAB2PMoJQag33/vojRt1g= s9MMPPrx/7+7dZwMwRVEICoKog3EwcJFznnNErINHAKMugEtqG2yvf773/H0e9UxFh0wIHZaRk4= Bwl1UIEsY6ehsqYtfjnzmlJXPEBJiDWgAUKLopMc7Be1kQYrJIYiopARjn2NQQmKbodYsuf3zdH= X++Yr6SKZ/33HOPa//u3ddyZoISGqaCUA/wULfsE0oFOkHX1ALd0E+LRqMnAlwYsFAQUFA4snOn= B/ftryCU8rz8gnfO+MqZj0+cONUnisCrL786b/cXu5b1FGUaex/GCNe5EwDKysr83rb2BkKJYpq= mzSZZzn788ce3XHHFFUptba2wdfPWEw3DzAfnAMdOwzAa+ucqc3M64UBhYWHBgb17Z3DOYZEtHS= fMPuGeuWecscUqitiyZcuU99b9+35N0+QjY6M/vBhVAVxQWyt0dLTM9UZwdVgn4xNNfqjgILCKR= D+tMv+dfIv5aKK1ppoq050DgGjEhCek50cYP605oM72R9ixqsGsjMengP1Q1E2grkO9pCjb9RaA= NzLl1dT1i6KR6HSAcIvFtrWiYsIvpxwzZYctft0f0OS99XuXNNbX/1hT1PGmbp4DIC+Tsg1DUSm= ITji4Eo0633vnnbJ1a9dZBUFAJBLMS7hZEsjJzVEjoSDXdF1u97RddvNNN5c3NDR87shyfRoKhf= 7L0PXxXZ0d12/fulX95dKlO99/5x2XoqqXmYZRJFssRkFB0d/MiOkbyRmLJEomOAfnXDxYV1e2a= +dOryAI4AxFJmP/AaIXw6gKoOyvKN3vjVze6ldPMNhADX0QIIRl2a377rt4xpAc2I+vO/DMpwc9= xx/wRC6t69T+uytq5hFwxP/F5oMp93NKENLN0sYO9cqFz3zx2cM/OMZ7KBqPPvqoa9uWrT9UVU2= URDlidzg+oTL96LLLLktGvbjdbipZpFdsdvvFoWCgMBKNnKPrejhmhumtqHaDMYatO3duEkThr1= QQfhgKBc8QVekMSikIIWBmX6NtxYSK1yKRyEUdXm+5v6vzalVTv6Xoyi+mTZv2khqNloZF6ZZgM= FCmG8Y9Fou1TVEU2TSNQtliaS8rL/v7+EnjV7MocyLOlVWWLa7cQqm7ktJ8WJ6YLvTlx9PY2M4J= VjqcjgcioUiut81zsyiJIISAMw5TN8AJTNMwFJvNph+qvr/MGDUBXFizQVIJLvWGtIs0E5aYs2f= oEpj0GoCk+aSZ44r5kxQAny5+akOjVVYjWxqDSxQTcnqaMQONwZjYHlTnFvnavgrghUPRKCmZ7A= gFQl8U5OV7QaiPc177c/fPe4Scud1u9sjKR7Zmu7If0lTtGKvdouRl5zfMqKraZXLGGGcda9asA= QDMmj27BQyvEqAwJzvnk4d/+XBgyZIl9+bk5mxz2p0nEUqsiUpK1hOlXZIgHACArKyst/ML8q8s= yM/7mmyxjKOE+EHp7sWLF7ctX768plPybi4vL7+guaU5PxwJE7vVxi2O7L0CET+eNGXKZ9dcc03= bQw89pBUXF/zZYjl+DhWk9UQgUQCoOm5mvWZoz1FK2+2unM8BoKCswJOd73oewASnw7HW7nJqVk= naxBies9ksH9pdrs52v/9vdpstNHnSlPMpRRZixp7EawCEmDaH46Pi4uKM1f4vI0ZNADvDwQl7v= MrlQRW5IBwcNGHvGDISj4+EIrTy0jkt97y25w+csPmfHAieDCKAgIP0MczEev2wzsubA+zsJbXb= 191fXdUxUNl2O7zjJ0y/UxAUEg6HzWAwmDbEramryTNr1qyVlFILAAiCoGXnZ0sAkJubm6RRWVm= 5y2az3ckYE6Q6qQsAv//++/fX1tY+6gT+qlssfapEVVVWWFgYBIArrrhCAfDmiy++uJ5SalFVlQ= EIAcDSpUt9AP75tyf+9omn0ycRTSWS3crHjR8fVRQleM011zAAuO6667peeeWVh8dNmPA0gMiFF= 14Yuu2221B1QtVmXdcXm6Zp5Obm+gEgHA57Z8yY8b8Wi0VSVTV8w+LF4VdeeeVlAG/Ci8iFV14Y= IoRwt9v96qxpJ37AHCzt3FdVVYUQMuxgiLGMUdG1Dxzg1h+/8N6znzcFL2Q8EVwd655JXMXLt5K= 9M8rsFz17fYahaDw2f7RIgvLN2eV/XHXxjCUjwetvX942/6XPmtY2+RlNqp+9eoq4BZbnWMj7lQ= WOJS/dctbGkaB9FEcx8iMg5+TKX79+4QE/v4CBJoe9sTqrXvat49ZdWfPJ2tYu39cNQkB6x1UBA= CHgHERjOCak67PWcb5lPiH9muXdbrf8xcYvsgyrMazXFkWRG4aduVxcDwaDRlVVle52uzN2ByxY= sECQJClL1/U+39nlcimPPfZYCBl4PkYT8+bNsxYWFrp6n4+9u9G5Zs2aPiPgueeem52bm9tn2lD= uKNdX/nll12jxOlQsWLBABpCd7tqIOuLdnNPv3v/mSS1BdpdqQohFdnQ7u4etg44SiEDuz7ILKg= GL2Wl7NckE15rBs71BdeqqlS85BypPCYQvIFazjnK0D+dghumRxagPJt+c48p5NBQIXXHllVcec= 8MNN2TknK6srDyWMLzeu1xZkNqtsvX3v/3tb4uGVGEjhAULFghlhSX/LaR5d7vVduD4448/Id1z= ubl5z6SrL9Wi/vNwv0MmECB8Ox2/IqHtIzoCNj+8cVJzgNwR0OkEmmjMXwLkynmfZcn+z7uibG7= MEJDeYGQwboEgnsBIYTGA/nvaWNcT692GWQXMMBA1jMngmBwMdF1isdqaQnrguZtvvvn5iRMnbj= pUUmvMRxd/n7iRhpKxpJFQEMIA3rN/Hoi/2DslpgtIdphkjHbwEAQQk/V8Jx7/FiNFw/3igZzd7= Z2XtoXMM0EI5YRiLH3mgeA1GwL5WbYtlHD09qGlghECw0SlP2IceuQYjHc6EySzFKLlihK9KdDl= X9FQ1/Cd2pratKpNEmM9klJIuH9GorAjG+I4FIzI59m+ncuNnZ5vd+q4VGXIBjiJqZ4jUfroY+L= EeYbVIm63i4fuNBTddEoCKXRzPuS64wMIeeo9iSOBhDrPORfDweBcr9dz+7ub3j03PsdIXw6Qoo= mMdK8wgsigTr7M6FPr8RMjIoC/e2fDpO0Nge93hs0J/Muid6ZiHpjTYq2XZSFEknpNehCQfG6ok= 7Bmx5DU94RApQpYuiODcsRoJHKspkV/On3q1FPSZg1oAGeJMLxUmhg7g4XJksI3mPf//4JhzwHd= Lx7IWX+w+WJvyDjTNLkQM+X3MuMnvjbvVtnNMSSndwD8JrvYKVKEOLhzoLmEYphSY6diffq9ukG= +QHejKh83fp/VZhsw0dQ0TUQi4ZxIJHJ8KBh0JBppqmbBORdD4fBJjmj0qmyL5QsA7allyE65va= ik6BmY/IPUrlYUBLic2etLxJLI4N5hZFG1Zg0P3XTTNsawkgE9hgOrZAlbLJaWTMv6sorssARw3= TouPle/6VxfIHpDWOeO2CQ/Jb05gZToaA4CAZxLkmA4LMJwglpGDIQQftLPX6tXVOYFxJJ+bDAg= nICBQDEopL6XM6NFKQqLCv5629Klyw51L+ecPPXUU1Xbt2z9SVNjw3cM03RxHlPvY3wDnDHR2+7= 5pqbrzwP4e+rzbre7HYhlnY9FuAGGVas+AfDJoB5kPJk9n9rZfxmFcFgC+NzBzZN2NXVd19Sl5Y= P0P7+IedfiYx/nkCSqnliR9e7lF85p/NM1w+Fg5FCUZYEvbMLvNwd0l3AQOJxWR3aek+4dCqFBq= FeEEA5g289+9rMbc/Lyg12dHVcbhmHrfZ+haflMM3/odrv/leonrKmpkTz1nhJOFGuPBywWuFyu= QFlZmbc6w2U37r///py6ujqbUxStFqt1SO3GFMXg9u3bPam+PbfbnSUYQjGQasy1QHSI5pQpUxr= XrFljVlVV5QuGkDQ2bf9imx08Td/NmPXXP/91Ze+yDEFSW1r2tzz88MN6nKbscrmKI52d1r6FDM= g/j0ajmmmaSnl5uVZeXh7MtP76w5AF0F27Xd7lDSxpCejzWe+pZO9IkpS/BQBT8qxbSl3SnWcWk= uBQ6Y80sqxWRA0dwEChh7E+d2ZF0SkzJxfYPwKiQ6E12GH/3nvvDa5evXrF1k1bTvJ1+E7v3T1w= AIFg4CsTrJVVALYkzvvb2yv8Uf9dzGTHI8W+JCoqwNiLnTbbCgD9Bpdv2LBBeuONNyrbmpun1h+= sP1ONRqcwSSqXGBvY8poOHGCMv1FWVrYcQBsQ8wOGA+Gvcc5+w1PnJ4jAYlqDTU1Nl1VUVHjCwf= ANnJvfS5hLZVkap6lqjyRqAFBVdVpXsOsV0J5lEZA9Vqv1egD1ACDL8sRAZ9f/hsKRaRnPhOKR5= ZqieFRNa2Ca0V5/sH7jXXfetfPC7164vaqqakjrqwzVkECueuSziz6v9383qHOSWZpDLM4y3yl6= z5yev+qObx/XNBTaowaLBSR6CNEgADiHTIlTMpVD5O6NLK677rqDt//s9j8FQ8HTDb1vggAzjeJ= OT+v3kCKAXdGoraW5eaJh6NMBJDtGURSRnZ1TSkWx33e47777CmqfffYbkWj0UiUSPScUCnX3sk= M0bzPwbbxXm2tqbsrhpjE92UnH/3C6nCGrzWoPBoNSNBwt0zV1ekJGEyGNqSAAIuGwPRKOTO9Ou= I794AQGKE3OGvx+vy3U2TXN19k5PWPme2kuAb8fNpvD1DV949NPPP2XG2644c8PPPDAoNeYHZIV= dNUbB0/e1x74jV/lSX9Yj4iXPoiZ3ZwWimnFjkcqchwvDoXuaEJVVZiGkYGlnsPjj+zx+slhX1i= 2cnrlOw6ns09ibNw1Aa/P+9Wampq0S82RXsdAcLvvGXdw/8Eft7e1/9rn8XYLX/wb9y4rkwMABk= rFTt6bpgmlXhuI+YSBqsf9A2BQ70BIjwMAopGw4PW0ndza2vzrcDB806WXXuoYmGJfDFoAf//0n= qy1WxsX1XUqlTyuEvQTO91tUuYx1bPYKb5X4HCtjqcEjSkE/H6EowPLVMJh/EVL156/7qg/7ALo= dDrrcnNzNvYx1XcvdzorHA5PGg6N5cv/kN/pa17k7+q6TlGUCs44JYSAE4KE9yL1ux4WywdDT1o= 8HjCRKW2GntPCRHGD4D2dmyhWJwTRSCQrGon8mFLxv2tra/v1yabDoARwHefi5qhn0V5P6AKNxb= qqQwwWSDidipxi27g8+8qi+hfGluoZR67L6TAMWNK9ULddNxZeRphqiL7oYTe6VVdXm05n1lqQn= p8twUgkEslqaGgpH2r5NTU1UnPjjnM7O3xX65pahJTeNVktKa2WJwUhzTGiYMmfnHOwhC+zF5IC= gu6OAkA/rXz4brDuUZmAmWYRDH3h1k1bTxlMGYOaAz5as75qy8Hgd0IayT9U3B0BB4+vuGoToI8= rsD1/4tTC93/646GvszlacHNOw8/vqTjoqy+EoseCJVOQ+j+JcGTLDMUTgSFZQYeJUETZJssSND= WlS08amDl8bW19rKSZYs/WreMMXf+JpqolyaK7nY7JehAlCeXjxqG4pASC0LN1h0Ih7N+7F+FQe= ERiM8vKytra2tpuEUXxjsQ5j8fzBDfMsxOxrUBM4PLy8j4TLPK3epcRjUZ1v9+fNDbZbLY2XdFX= 22zRosEMQYIoFlOQ7wT8/ryYPY6n9lBE07RJBw7unbtgwYIP02VxpEPGArj4qQ2lmw923BAy2In= s0GNfvAcikKjJynPkjcW5wlM/PW9qewYP9XMt7ogeBZ1n+xoQ6unMi+g8feNNqj8cVqscmVSS2/= X1009jRyL0ftK48RFPa3NEU9U0cz2OmSfOvhjPPDno5Trcbrfo83guCAVDc4G44MXfm8dbmyCKQ= bvN+bwrN/+ee/73rt3pyvn+RRdNIaL0Zw6cCc6HLYTxhZE74wcAoHpBtZJc5DclGJtTqj3wwAON= GZTZCuD3Q+CF5uXlPbp/z95729raTuesO5GYABAFMS8rO+e0KdOm/nXNmjUZaXoZCeDl7nXWPe2= hi7wKLlAMYiEZ7vJFCZDvtAVmTsxd94MzZvgva45OAABNbW2bP6nnPDDXJrRrpnDQAO/HN8NBOY= Ek0qiN8ENW8uCwQzBNY0ZUNyz9ztzj31vV9ZbdzZ1bX5hDjshaJQWlBdpASwT6vG1DKldV1VxV0= 3+Y2L2pNwRRVAsLC/9x3Kzj77z66qvr+i0HgIzRjzhNZ48ZbZput5vV1tZ+6m3z3h8KhUvDoWCP= NWN1Q4fP56G+9R0Zj6uHFEC3m9Mv8j46pbk99EN/xCjEILIcCACLJDKVkdOefn/nsRwUBAzFLtt= zAP6aeu9NF82uZVz6XCDpeUqM50QUVJdi+fTujDjIDCWabN2lGHM1s1dOTBw80ctyjiyrFChziZ= GtI0h/MLDbc0B7qX3JQYBzKNGhRZcZhjFNjUSmkRS9jqeMLrIk7y8rLV89kPAdSRyuwMbq6mrzJ= z/5yWemybYSQqYm55nxurJarK7S8eP6JBj3h0MK4KdFW7MDPvXqrqgxx+SJ4IwExYHBOFDvC+c1= +ELzkoFD3MS3Zo8T0UsAz6nM2QdgX6aMjyQoixzr9WuzOGhsoxOkN2GLBLCJws78HHFgVXoUEYl= 0gadZ+SzhirDZhrbhTTQcnaVpeqzhpAnFy8nLfXfuaXM/HVLhYxjr1q2z1tU1V+3duzO/q6uLDO= zcjV01VKOQEhSmu8OVlT1xwoQJEwHsyIT+IQVQULsubvYr/6WaRExsZJJxf5PoSUGT4aCHyjY4E= tAMdVGXoucjzmd/3MkCDckC21Y8MeuI7W/X3t4umczs9d14csMZSZbrh1KuSOkszlOTRrv/opQi= Jzvn4/nzM1uYeBAt5Ihh3bp11vXr15/2wpoXLomGIyfqhu4wTYPQgeasPGaJJYDImVmcLmuDUmL= jvB9bQhoMKIB3vbznxKc+2rdYMVhuwvRNMjSD9P6Q3UmXY+vT/PhPH0z45EDXuVEzZlaKZfL3Ur= PjL2yThaZ8p/z5fV+fecSyCPZ9sc+ma1q/MYwen+ezoZQrSlK/e2BIsgxuahnv1Te2vnBf1NTUS= H9/+e/f9Ae67giHQpXMNGUStyua/Qlg71CdOHobmXhG0tGNfieL7g3N9rU7mu7zq2wqI7S7UaZu= ZDIQxvg6MADweit3tEf56tagXi52zzLTNiCJEJOCbRK4vhmZWqFGAcXlxWdpmtbPdyMQBGFIozM= n8bVRU6wbCT+XJIqwWJz/LxbI5ZyTnTt3nuz3d94ZDgZncMYsJB7eM2CUT7I5942IGQ7Sj4BuNz= 2wof72ve3hs1l8XkTA+sQCde84Gz/R22mL7suxjVUIOI8tfXSkcbl7nfXR5/695LMm9RxGBMp5b= MlfTrrXL+XxiHvCAVGkXjsl/15z8zlHLJDA7XbTxvr6WUDPnjdRmxartT0/P//gUMpWFXU/gDN7= no1HIHMOk6ljtydF5kExv/vd7/IlUbo1FAgeC8TrkcT8Laka5UAClhoNM1wh7COAbjenn2W/d9q= GAx0/0CHGfNIZ0KCEcEoB2o8fLyV+ApT0venVDc12OafUKWSwd4vTAcABIAyEwvFzRbFTCcgMZt= AF/xyScBdwUruvM2vt2v32/W2dBQ2SeVVDs3ZZ1IBMQOMadu+BhQCcAYSwfIe4a/70gg8+OhRzo= 4jxReMrmxub5vW5kLBUivKeCRMmDMlFY5rmrthffQVbVVWAiJUANgyl7FHHIGTA7/dXetvaTya9= gi04BwgljFKhTbZYvA673Uw/HyQwOZPCoWC5qqg5w2M8jQDuL3h/aqtX+ZVfpxUZTac5IFLwbCv= b6ZTIZjCmgCWsdN2bh6d+1iypO2I/gbV7fBdE9I6LAHKIHC0GUQQIBUy9228vywCh3QKk62bk84= O+z8bf/A8fAIj0H8LTr+Wf0OVXJ/sibHpYNydq5qG3aiIgsIlCYHy29a+//f7MHcsvHvj+0UJtb= a3w9tq3zwsFgkXpPguhlOUV5b8eXwV70BCosFmUJN00jD65xqZhIBgOXlhTU/PyokWLjmgW/XDR= WFdXoWpacarWFgt5DTyBAAAJlElEQVQrJXDYHQedzqwl519w/lvnnXdeuL8yli1bVq4qykqN6N/= j6fISB4EeAriwZkP27vbOBd6gfpLJBbG/tskTKikoAA5ZgLfEJT9w3BTbE/dXn37IHLkP05z7bE= /zqXWdxkUmP5QAAom+mcR/JuuSpF4FCPCDxF2aAWzc1xFLDCYUAAUnCbtnyosByUWMSNy0WGjF2= 8cUWF4ihAy5thNW4KFaKDZ9uunMSCRyDTPNtGqPKIjtnPNnhspfQXbBnmDQX2fo+tSYrawnjdbm= 5jkuh/1rGzZseG3OnDn9zgctODzx2X3mPQAMw5Bqa2vl6urqfnPzKqfNOHnL5o1pMzMqKia+c8e= dd7yy6g+rBiYdweCTOvtBcshw126X20ORc71R/gOV0exDthPOATAIlBlOCRsK7eJbmQjfQKwQQs= EJBafCwAeJHSx+JM4zxA4ePxho8kg8kxrIHHOqdBuK4jMBEJix+SA4JubZWmeU5a5YfumcjNcnG= Um8+uqr9uW/Xv5Nj9fzK11Vj0mnFRFCUFRc9P7cuXMPDpXO9n3b601mvtDfd9dUraKxqfnm119/= /ex169YNaD0f7QUpLZb0fbSuaZMOHDgwe6BnC4sKT+rvGk3JGTxcEIGYZWjhI59WtgT1HwZUc1p= K3mNaEDAwQkE4h00Wu6YU29Y6rbaDw2WGE4Ck2+qqDwP9h4sd4kQGSAgjQYFD8E7Mk3503dw56x= 8dQklpeeFAS3PLGQuvvvoXya6Ait1dYVyxEEHBGJNeffGlSl03TlY1dTznXOxhfImP2K6sLE9Jc= dkzw1keoaqqylBCobVt7Z4ropFIUeoiUBwcnDPZ39V1qqYq9zU1NPx96dKlb8894QRPQWlpjwFv= /fr14zdv2OjQ0yQNjxSmHTMN27f0nMUQDiiKkrt39977Vq9e/cvrrrvu7XTP7ty18yUAX03XNOr= rD55z209vu+Qr87/yt/PPP/8Q6WYjk4slAsCihzdmNQa1al9UP9cwuZgYG/rLdU9YNQWBsopcae= 9p08e9dst5k/5fmKmBmPAV27m3zCn8qNKrvjpnTv/7QAwKBADn8La3nwbO5yRP97Bo9pqcADLnX= Op9XwKUUkWW5D+F1fA7w2HN7Xaz5cuXb4pGo8/omrY4NSY0EWXDGJOjkegMJRyd3OnruKpu334z= wVGCa8a5wJiZHQu6GJ1xsLGx4Y8Azu99npuMBPyBUz98/4O/3HT99XXFxSVB2WKBy5H1kdVpXXX= ZZZf5CvPyWwKdHQiHuneLI/HvEgoGSiKRyIMvrHn+rh9dey1P75Ii6Ij4BN008kZi+URxQW2toP= v511r90ZsiKrf3yTVLQ4SDgILBSsyOPKtw3y3nTdo1bE6SZQ8i0XKISBhhOYllbMQMvSY4EblAu= Dk+R9w3KZfepBd717qHuehOkmbyDwJwLgPdexKm/5Dd50g8GZYlykmOTtRwOFz/lO3Wx9xu94Bb= pmWCpUuX+n5x662PKao6N+APnMo4EzjnoIQmfWQAKCewA7Azln4iRAkdVR30pJNObf304w9DIX9= XbI+OuKU+xiMXDE0raW9rL2lvawfnHFOnTSspKil+AoAvGAm+a7VaPggFAqeDkPgKc0mXA2GmmR= sJhXIjof7pjySotXNy+Y4m/4/agkZ2jBXevzMyfsQMFxTTSp0bv/e1WetGghFGU4wfo3JwJPf/Q= 6J5x4LkCGFcliQl10obZo93vXje8aU/vOj6+WvXjJDwjRRShU8QRSU3N++9adOO+cOKFSsOjBSN= 4086aYfd7vqNxWr9RCCCTjgZcwvlLlx4xaeuLNdDVBSiMfU488V8ZVn2FRQUPOTMymohhPAjvRC= w6BLMO1Qd87KsYmwOhsw6L6vIvXOnlz5WXZU97J4XALIsFNnW2ELJo4FEFVMQzglUQohmmKZfoj= RoE3hnUbZ185Ri2z/PPm7KB98+MXdktrgahtUzfaMgoIIAq2xpc2ZlrS0dV7bqlttu2UAyiMzJl= JXq6mrT7Xa/QUSiBzq6blFV5Sxd1x29+ekTgtVPI85UDU3ui5qhLOQV5P1e09VxgS7/hZqqOhM8= pJsjp8Ltdmt/+tOf/gUIJQ31B69UFGWaaZrScB3rA7Jtmon83RhIN68i4UZraY68arB6n1Ni+5o= b/SO2uFJZlu0dgRi6GZ/vjDxiFSsLlBOBhqwCCeuq0jSxKKftlJlT6qtnZX0BAA+MACWn04nsnF= wwxoaninEOQikzdN1nGqaHCqLXapPr83Ly3z92ZtWrl1xySfPtt9/e7+OyLBtZ2dnMNI0eDUsUR= TizXHA40q8hFE+Cfevuu+9ub21sXqAoylcN05gsUFqWDINL11Bj80RompbRqOLxeMjMqpmCpqno= zqqN/bLb7aZDcvTbHS9btqx55cqVv2lraanzenynCQKdQSktAOc0lTLnHBaLNSiZUlKbufrqqzv= cbvdDhUWFO8KhyA/C4dBxsixPBSGuQfQBfcAB2Oz2KOW8hy+2uLhYUtRoj13aOTgEKkB88JozDr= lC8+HAo4tOfwnAS0eaj5FArqtgi1Kk/wxsOAsfx8yhokC4ouo+U1c9OQUF3lNOOaXu3HPPzSje0= 2q1tuTnF6zgMEtTo3yoSOFwOHbYbLYB12W97bbbtm7YsGHXxx9//FJLY+Mkxlh5OBQhbAAnmKYZ= RbquX8I5n9TjQpoheN68eYxS+ommaIt7l2OxWBRnXt8V4BKIj/o7n3zyyd/u37+/EqY5AwwFjPM= +zlqH3XGQyazH+qdut1vhnL/+5JNPbt2xY8cUi2SpBGNOYHguPqvd6qWS1MNEWzqudFMoEFjcM9= KKgVJxzAeuH8WXDPfdd9/3dny+9d5wODwpNZ6Sc0AQhecFOXvxk0/+cUwuzHUkMNZ3jzuKLxEef= PCx8QcP1H9T1bTS1POx+Q4gy7Je7HSNKcPWkcbI7xF/FF9q1NTUSGVlZdksZcGhQyEcDmPnlp0l= mzZ8eHskHL6QMdNKE3G5cW+aKIqK0+FsnH7S9H5jLP8TcVQAj6IH3nr9rZOpgKcJMDHTZxLr0ST= +k7rqQdzdwwmlBxjDv6+66qoxsx/IWMBRATyKYSNd8HY3OCwWS6SwqHBd5fTp6w8jW18KHBXAox= gdxAOaREnSsnNy11ZMmvTwokWL+t2J6T8VRwXwKIaNPj6/uPDZnQ5fbnbOE6Xjyx+/8cYbtx0R5= sY4jgrgUfRAUVERCOUDqJRp0L3He5Qx5uWM7Zetti0M7I1jKo79ZNEtR0e+oziKoxiD+D+x2J6c= /01EGQAAAABJRU5ErkJggg=3D=3D" width=3D"224" height=3D"58" alt=3D"" style=3D= "margin-left:326.05pt; position:absolute" /><img src=3D"data:image/jpe= g;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBA= QEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAAR= CAB1AO4DASIAAhEBAxEB/8QAHwABAAIBBAMBAAAAAAAAAAAAAAkKCAIDBgsEBQcB/8QAPxAAAAY= CAgECBQIDBQQLAQAAAQIDBAUGAAcIEQkSIQoTFDFBFSIXUYEWYXGRsTI6drcYIyhXZ3eGodTh8P= H/xAAdAQEAAQQDAQAAAAAAAAAAAAAABwMEBQYCCAkB/8QAMxEAAQQCAQMCBAQEBwAAAAAAAQACA= wQFEQYHEiETMRQiQVEIYYHwIzJxoRUkUpGxwdH/2gAMAwEAAhEDEQA/AL/GMYwiYxjCJjGaTnKQ= PUYeg7AO+hH3H7fYBwi1Yzb+amAAb1h0PXX3/P29uuw/qGawEB+wgOEX7jGMImMZoMoUo9D6vt3= 7AI+3t/L/ABx7e6LXjNr5yfYh6vt/MBAP9P8A+ZugICHYe4DhNj7/AL/ZCYxjCJjGbYKpiIh6g7= DvsPcOuv8AEMItzGaCqEOIgU3Yh9w6EP8AUAzXhExjGETGMYRMYxhExjGETGMYRMYxhExjGETPm= W49VwO7NbWjV9nk7dDwNtaIMZKSolunaHbGqKDxu+KeFttZeMJyFcGVappqOI54gsdudZAx/lqn= AfpuMIuuC8wzja/BPzTcNOPXHrk7y3gtTXBnoO0WSpWPk9ue4MJWTsW1Z6FmCPCz1vclcsHsdFN= G67BcijY5AVA5DAqcB7HhEOkk+/v6C9/kfsH5zrmviTP94R4H/wDCPGn/AJ1W/OxmIYATJ2IB+w= o/06D36wi3MZ6xaaiGy5WzmUj27g3QEbrPG6S5hH7ACR1Cn9/x0A9/jPJcPG7ZA7lVVIiCZBUVW= UVKmkmkUPUZU6hv2lTIUBMYwiAAUO/thF+OXzRoo3ScuEUVXagotU1FUyHcrAQygpIEOYpllATI= dQSJgYwEKY4h6SiIcN2ROyVZpFuscOxPJykJWZqWjo8gCczx4wjnDlu3BMv7jioqmUoFL+43YlL= 2I5Vg3J5VaLyp+IC4NcK9BW9pbtYcd5HZ09tW1wL4ryvWLckjRZqOJXIp63UFtKsqDDmXaSD1uZ= VmpYpWQYoKHNDnUPbNckKoUSG9IlMn6RAQ7D0mKIGAQH2EB7HsB7D79hlvbjkmq2IoZnV5ZIZY4= 52judDI9jmslA2NmNxDwNjfbpVYJGRTwyyxiaKKaKSSFxLRNGx7XPiLgQWiRoLC4ewO9FVAJfyn= cl9NLX/eNivSVmj6vFT9jlda2ICsYIrSLTWXThu0kiKx670EismS7Yx1SOFETehfoUzWwtL7Hjt= w6h1ftqIaPGEVs/X9P2DGsJFMUn7Fhca/H2FmzepiAeh01bSCaLgADr5pD9e3WR28hfD5wt5O7E= YbA2jXLcu2QkI+Vmdd124SNc1pbn0cuRwgpaqpGFIlKJKrplUetRcJNXnpD5yQiPqGUuHjo+Fio= 6Ii2zZjGRTJvHRzFokm3aMmLJIrdo0bIJgVNFu2bppoopEKBE0yFKUAAADI96YcSzvD8Lcoch5F= NyO/Zylu78VK+eQQwyem2OJjrL3yjfYZHt/lD3ODSQNqQ+p/MOPczzlLIcb4zBxehVxVWi6nDFW= jMs8IJfLL8LHHE9wDmxNeQJHxsY57Wk6Hs8Z453bVM5UzuESHP7EIdQpTmHvropREBN7+3sA++b= 3rKICPqDoPvklKN1qyu78QPxIdyvBTlDyy07unkNpHfemKAbZkZNaw37tqn1ycjKcuxWnYKWpkN= bW1YAj6tEk02y7CMYuCyRWjlVRYwH9VhJ7Kxkan86RkGTBER6BZ46SbJCP8vmLmTJ3/AHerIvvN= U9Zv/EX5C3LF03eIH4p7ZFNdsqRdI3dccgApqpiYhgHvrsph/lhFDh8IDuzcm8+EW/bHunbOydv= T8ZyIcxUbObNvFmvcvHxZaTXHBY5lJWiTlHjZiC6yq4NUVk0AVUUU+WBzGEbcGUzPgrFkjcDORq= IHAVEuSi51C+/7QUodZ9AiPXX7vSPXv37ZctUcIIlE6qqaZC/cxzAQod+3uJugD3wi3sxS5B8ye= PfFqf1pAb0vrahKbZk5iIqcpKNXRoQryGSYquxmZJuRVOFaCMi0RTkXxUo8iypSuXTcggccqCLJ= Kl9aRyqFEOymKICUwfjowewgP4EO+8rM+XLhPyj8g/LbWOv9Q1lpF6y1PrlQ09s25PVYekxljuc= wd7JM2p00HcpYJVOJh4UTtIGLf/S/NSI/XZFVKfMZl7dqnSdLRrG3bMkTIYAHO7y94DthvkNazZ= LtgN9ydKRulfGeL8s5hVxfNOQM4xxhlDKXcrmnTwQPqsq0ZnVRCbEcrJZpbrq0bK4jfJP3FjBsk= ix9EW2szsI3scNPRUtAPGpXrWbjpFm9inDM6fzSukX7ddRsdAUxA/zSqiT09G766EcbNfc5eMe0= t/TPGzXWz4i57Qrtce2SbYwAqSEIxbxz5qyeR4WNEoxD6abHdpquYyOcvF2iCa5nn06iYpjCPRv= BdyfqOoZvU8d5ErTXKpZCJGmKXW6VOGqBjlAwmbJgvfGz8jVQwiC4MCRSTxPv6pqp36Qweg/Hpz= J8Se+6Tyyi4dnyH1PRXj9S6vtUrPULKWpyLFdjMJztRm0kHrUiiC5lyO4x1YI5sokmtIO2RP3ji= Z8vmYvhJJcK+Ct6jPj5fWjsOhj3p5jji27tHhxe5vhjXfKD5Eq4LpH0hzTeV0Md1lpZnkTKlxvB= cU3F3uPxZnIsaH1IL13N1oahmsPaasVWrOA+SRsotOG66urgcoj0A/1/GfvYD9hAf65A9rT4hXg= VbxSa3ENu6kdiIJrjcKGM2xTWEQA4Eca+lLi8MmU3ZQOtHN1Pbs6RRDrJvKnZYe4wEJaq+4F5B2= OIYTUQ8M2dMzuo2TbJPGTgzR8g2eNhWbKpqCg7bIOEvV6FkyKAJAzlTIUrwcaduG12a7zE8OLd7= 0HN92nwRogeQfsoR5TwLmnB5K8XL+MZjjzrZe2o7JU5YIbZiDTJ8LYLfQsemHtL/Rkf2hwJ0CuT= YxjL1akmMYwiYxjCJjGMImMYwi65X4kz/eEeB/8Awjxp/wCdVvyzB8R55JNo+NjgSxu2j0F2m3N= 0bBjtO1C5A0K7ba/JIV+csU5afSqRRsMsjFQSzGATcAKQSbxJ2YipWRkzVpviQkQc/EM8CUBMJA= WqvGZMTgAGEvq3Xbw9QAIgAiH36Eehy235oOVXj84vcT1ZnyAUCq7uqM5LkR1zombhI6xTmzr9E= NxcMWdbi5EDIslGBHJTyVjW+WyhWjkTOFFBcJtXBFjX4vuHHC3mF4+tJcgrBXNtbStu86EM7cto= 7o2HfF9uubiZy8i7O+ay7WzJoQDdrPs35q6FaBpGosE2SzIgEEAyAzgRvPZ188oHLHwR8od3bz2= 5xZPsDbUJq+YHa9wr+0qmXWyz+Wiq6rsaHkWtqk6pO1kh42chH0isiu8btnZPQUXCS0yXFe/eeb= kRqCh23jpoTx2eO3jI7gmJ9P6n2s32xf8AaMbRDkKeDWkIqmM4+rx6LpiYjlq0NHVd4VJUhlY/9= 4Oj1ivFIfaKnxVNxLu2cq1l20juHk+02FPUeMkIanytpZVqztJR7WoqVXdSUdCrOETGj2j5yu5R= b/LIsoc4COEXDOOnB7SWvvihLZwr18vsWiaXpex7PAVo9R2Pa4G+RceTUkZYjFQvzCQRsvzl5J+= 6M5XF98xdFUUFDGT/AG5dw3n4zuPmoNPbT2i/5H83YJvRKPZbj+rL8vNxPk4s8BFuZJuqRnIWFd= m7L9QikmDR2ksg59QIKlMVQwDVS1H/AL53tb/zitgf5aHgQyy18SpyXLx48Zl5h2T36Wx74u1B0= zDEIqCa6zWfn2j+wimUP3HBOEjXXzAD2FM5gN7d5b2iRVsaJB9CXRBIIJY4AgggjX5FXNMB1yqH= AFpswAg6IIMrQQQfGte+/Cj18cKGyeXW5JKg7U3xyAGmjAPXia1U27cqnNi+QL9SyOSYiJJBymA= pFMLhIogRTv0mL0IAEAPF3m35bkPL3yN4d8U93bJ3VY1Nnb/0LrRrvS+z1so2pavAbAewSe3bMz= fneoya2v61EGcFWdou1nT1YnpbSDxZNm4sm+FuHPD7Qp75UPQtOw1nen7D0j9MkxI1bAb2/cAlQ= MqHfsIKAIfcRyCzwelAfih+ZoD7h/EHm/10P3D+KzsQH/QQH+uQb+HrK2svxDMT2bU9swcsy9OO= SeaSd3p14qbQGvkc53Z3F5a3eh3HQG/M5/iLxdfE84xsFatDVZLxTD2nRQQxwN9Sd9xznOZG1re= 8hrQ5xHce0bJ0FOZvH4cfdOxNQ2G5uPKpzhsfMxOBeWFnsKQ2NIQeo5W8t2aj1KJb66gFkHlaqb= yQIVk2UYWB1JRiChHagyIomZq4MeDjz+bLrHCznUhz0ssxtCw8CaUhdICxv3RV7xeI1/JPKfF67= kphUolkJda8IxUFGTr0FVEW0sCz0y6LQTFvUOwD6RwX8fIUD+noEM6ZHU0mEdxy8zaQqKE/VFtT= xpQIIh8wynJxV16FOvumJWgmEB9vUUo/jJ6UBq074ddZbI+IX2hyS5keQPcm1ZTUNEurSk6y4y6= z2Xbtf61gXEizNNFB02rMpGuXrCEjFWbFuK6n1cs9F0/k1lhMRIv13zd8P9t+KHhjvTYHDvY+zr= lwy3vSZ3j9yL427dvlj2FDayHaDBWu0nbeq56xu5KcgQjLK5YRsxCmcrMFvrGaPpKg6UUZ+6+Cd= 6/6IPLDsR9t+wnQd/n+xEf10H+ff92S5fE5rFQ8JvMswmIQVGOpEQE4EHsVd3a5IBS+oB6OICIF= Ev7g9/T/ADAiryfDU80NdeP3wx+QHlds0RdQOsN2fVRcCioVJ9cLjK0qrxFNqEaY/wDsOrDYnrB= gZcQMRk0UcyCxRQaKiEinh40ttjzH61s3kQ8gm7tx2OBv9/tUHpTjbrnZdw1hpvXtRrsgLAzlxE= 0uXh3tlfrOgXbNzzLxdMjdsR4sms/cGUSpVRthscZ8P7aIOMVXSr1k8ndZTs/yjGBJf9K4/Tj+F= bOSgIFOmZ6CjpMp/Yq7JI4fuKXLh/go8ULPdvjK41bbbc5+e+pE7rD2CWda705uuGp2uod0axyT= dYYSEUpUm8aA4FAHC4nkljKuTnUOIFEE8Ivpvk7uu4vAbatJ8oNH7G2ptLgdt/Yf8F+Q3GbZd9n= 7sehvp6HkJeHummrxY3shZ6lJLxUNYASZHkVo9vJRbBAqR2kkcjPBrzqaq5L6X4p6E8kfjQ5ccq= 5PjRYoqIf7grLremwLSpHQlzBrKUvYDZzJy7p+yhQXVc1K2NGzkSxL1zCOUCgkd+4SnB3V8O3x/= wCRlK/h3yF5keQXc9ELNsLGlV9hcgI2chkJyLRet4+UTYnpCSAPmqMg9TQcCQVE03K5CiBVDAMk= WruCvHrSnB1vwUBOYtXHeE1pPa5eI7FlW0zKr02UQf8A1xZeVO0ZtTfRJO1lW7kGqBGfyEVCgX5= Xqx/f8j5H6j2P6p/15H9fuo3/ABsc0OIdm8Scty+e7b2W2ojmoya/IRa+7cud5vFC2XDwLOBtFR= rUzOyjuehnr94LRepx0OuiL1aYj3zABUdfNzhPjY4A7O3NWLZyp5RbV5Y1GvbjtzW3ceeMT7kVs= 5VDUml2BiDVU9jPF5w72z3TYDUEp+0wkssvFQ7Fy0hk2ibg8iknRt0fe6J44vIlEah2VZb5t3xY= znLUbWiDb9ZhdZbfb6rnZuq1TYqTZ+2IwuLTWU5KIHn2zRRSOmlYVAFVlE0o9UnbVUuy1a502u2= ukyUdNVGxw0bMVuViFUlo2QhJBki5jXTFVARSO1VaKJHRFMfQBBAodAGNA+CAfp5A1o+4O/ofqD= 4TyD3N2HDRBB0QR7EH6EfdU9fLD44de6Q5Z6H2rUCxVL0VvrZEBA31q7UTZQFHtico1dSzgFTAR= BlD2aFBy8KmYSpNpBm/6EqTlEidw+nJw7auQTeBWbOYZtDRreKXYqJrNFY9Foik0UbqJGMkdE6B= SGTMmIlEoh6REPcYWPiBY6Ic8Aph0/KmD6N2ZQnEOc4B80jxV26bK/JEQE3qO0VXIYC9CJRN2PW= YufD87u5gXem2KiXeAfWfjfUmwNqTsqzO10JKClyH7PT68o4QUPaof0GFRUorELXzgCabs5VyMi= abUkrYnktzHRVnAZOKK4JIWlwiewOY9j2NbpsJcC/vaNB7vm/mC7acpo8m6o/h04l1AyvI673dM= sjluKTU8tOyCfLU7ElGapZpWp3g3MlXhkgpvrO3JYr13yROMkZa+zqBgN3137fzz9zx0BN0IGEB= HoB7AQ/09x/P5Efx9s8jNy/fjyupYO/KYxjCJjGMImMYwiZxi53Or68q05drrOR1aqlaYLys9PS= zgrSNiY1sX1uHr1wf9iLdEv7lDm9ih75yfPEfMWcm1WYyDVs+ZOSCk5aPEEnTVwkYOjJLt1inSW= TMH+0RQhim/IDhF1tXnw27q7cfnS4Nbl1PdonYWsKvWePyVsvdWOtMVevOoHclskJVCTl2aCjVo= dhFKtX7sqygCgg4Iobopux5R8WTZFt/7m4pcrOP11h998dtLVVao3oKC/WsUJrbYL26ntLc9xTZ= kVQhm+w4OPbsIyUeFTRdnqj1kZUDot01OxADWOt/+7+kj/6Vgv8A4Gbb3V+uZCIlK+7odNXgZxE= qE1CrViGUi5ZEnr9CckwFn9M9In8xT5ZXCSgE9ZxJ0Jh7Iq82kviTvHJceOGt/wCHFmt955CSNL= rVdgOLVPodlf7Ol9hpQ7aMRqMazSjRjSx4yqIJDYRefozWOEXyjj5ROhqy8K4LYPCr4myIuXPCW= rGoLJsl9f8AcVinZ+RThKUwe751y/t7KEa2SV+kjXJICXsKtLeSKapWKk3DvUkjFIBSh2LmteHX= FbTdkc3DVHHbS2ubU8EwurFTda1KvTKwnEBOJpKMi2zsPWIdm9KoCP5Ec5lsbj9pDbzuPf7T1Lr= fYj6J9P6W8ulKr1ldR4FN6wK0cS7B2qgQD/vAiZylA37gDv3wi66Kd3drjj18VopywvtmZRfG/b= +1xl6Rul8m5Z69sNdsesoqjOrJB2VwinFzEDD3CPk4F5MR668cRyxVU+oFESqGyZ+Lf5ga831N8= GNbaN2NB7MoNU2BZLHfZ6hvxslPZXB0pWmFXiHFoiyuK4vNFh1J17+lN5Fd+3bqFXXRRTMQT3tL= 5xo4/bRiYGC2RpbVl6hqumRGtxdqoVZm2ECiQAAqMO1kI5wjGolAP2pNCJJl+4FAc8SZ4x8d5qn= xuvZfR+p5OiwrxGRiqi91/V165Gv24ACL5lEHixZNnaQAAA5RSIsAAH7uvbKUzDJDLGDoyRvYD9= u9pbv9N7/RVYJBDPDMW9wimilLd62I5GvI39PAVQvUMrZbVFVfXmn+QdY4usrJXGVRuvIy3rMYZ= LXlDfMEW1u/sXJTruNh0tly0YReKrDp0qq3iZJ2Micp1WqJTw8+FHaen9PfEb8obXdts06C10W1= cuImF2PcblBMYGwJOdgqFhH/APap47aw8g4nmiJXyLpuv8p+Kh124CmYM7H93xu0BJsP0mS05rG= QiO0zfpj6k111HdpdGSEWazFRERIIAKYin2T2EB7989IHD/ieHX/Zx0WJi/8AhdSv6e36P7D1/P= v+n2yMuknT6bptxu3gZr8WRdYzV/KieON8ehdEPySNkc4l7TGfLT2netDSkzq51Fi6m8mq8gix0= mMbBhKGKNeSSOUuNH1f4rXxNYOxwl0GuHcNe5348278qONtErlesV23zqCpQF6h1Zikzdi2NUoi= Kt0T8gioSdZfvZZFrOMBTWSODuNVcICVVMQOPrL31fXhy0joPlzOeXXjhuDcmuNQsd26sdfwtvd= /tsFW4NpsSC2xK2miyzd1Lv2ackyQmGsaaWQYqKuVIJ29+SX1qENnaAz2vOOErMU3Vdl1/q2YkY= utSDqiUyXqNckSQ1Vh1mLN8NfjXMcsjFxTRVywbHTZpoIAc6KYFEQAAxq2fqiho7e1hqrVvC3Qd= ur86Z1Nbj2BaqjXYKva7pTYxEmiUO2ZVORUtl2nnvzUYqD+fHMmrdstISUggiCZFZSUXKnt8M3y= xofiy2rye4Ic9Z1nx5tF8s8Be9aWm8LpxuubeeNjFol0tBXdTqBkIufjSR8xVpxu9UiZ5isJmTs= 6oeg2cnxG3kh1ny24Y7g4RcGpFvyatB4qP3ByOvGtlEbDrnSWk9QSCWw5R/Zbm3MaBRnpuWr0Uz= jIxF+q6UbkdJkSO6cs0jzPc0ovRlh5Z8KOIm+OGvGfe2peR62yazW5i+ViPmp7W6eptcvLgVuyr= 0tVH8K4jHhGbeKYtWUqwBg3E63oUBMiBpE9TcRuLuiKdMa90zoPT2r6PYUFG1gqVI17WK9AzbZV= MUlG8xGx0cg1kkFEu0zIvE1kxKIl9I9jhF1xniR456T5w+D/AJscQbNuPVOvN/TnJOv7L46xF7u= 1drcpMbMqtRg0q7GMY+UftX7hpc0nMxRRdNEFyN1p4HAJrHaCiawv8Nbz01tpjjC88b3LawRXHL= lDxeuVrgzULcEmxojqx1KTmF5FhJ19zZHEezkgYOV3TFyg0cKnOQrZ62BZs7SONm9Hi3xqbvY+R= baI062kIp2hIRr5vriooO2L5qoRVu8aOE4oqqDlBUhVElkjlUTUIU5DAYvece3dww4lck1kHO/e= Ouk9vum/QN3mwtcVS0PUeuwD5b2WjnLoo9D6QEFewL+0Og66IsNubHlB09qylzGseOFtqvIXlve= 45xA6m1FrKfjrg4jZqTSO0Tvmx5Gvrv4+i63phVBnbRZZ90xboNGn0iHzXrtsieI698q9a2apaA= 8QmuOaVAeOJKksLf5AeYr/AG7AJtoWhSkiZ5cNZ63s7+c9MptHc1ikXtejUIx26CjUlN88VQIs4= ZGY2R9L8ROLnG+Nk4rQmgtP6iYTCZ0Zdrr6g1qrllElCehRKQPFMG6jtM5P2nTXOchij0JR9srV= b58gNM4Kc1ds6ruvHTUu7tEP51OwVNdCmVCHvtHF2oZvNxETLKwqzCci4qeZSbZvFSqTZ02UTAr= aaRalI1zH5DJVcZHHNceY4ZJREZAC4Mc4EtLwPIaT4JAOtg6IW9cD6dcn6k3sliuJVYshlsfjZM= o3HPnZXmuwQyxRzRVJJiyB9ljZfWbDJLGZIo5fTLntDHZheZ3xd8R+Qfi0X1TFm1fpRrx1qjSwc= Zdhyb6HrlcqMw1Zt0GFeXsbpRu2PCbHQ+VDShV3QhJyTyPlRMo/aoK5BL8L75u4PXcJP+OTmnsq= CrETQRk3/Hba1zsrNpBs4xiuoWxamm7DIOgj/pI9VM01Qn5nIJKNFpWE+YVFvCpDPmp56PHxdqK= 4Z22kbFdwySLMj6ozOsG0/DoqEMUzBm6EqjyAIKaiAfSAqqUoHSKZEOyAbI2dz+U+l8nbNXeOnB= /iRrqiWXZ88wpzXaF0oVJf2WPTlnBWqzut1iNiVmMa4bt1FXQysnJPVGyRDClHJLkI5RsZ+S4aK= IPbdisPfpscFcmWaRz9BrWsaDruJDe52mg+5AW7Yf8ADn1fytueGzw7IYGjRD5Mrmc+IsZi8XVh= YZbFmzPNJ3SNhga6UxVmTzvaPkjdsL7X5oucGlds7V408XIWbith6zY7BqGwd1SVcnE3MM+ipRw= 2ZQFdbTMYsdBU4REg/nX526xwQTXjCFUKodQE7P8Aq6l0eiUarVTXVeiKzS4iDYoV+FhWqDOOZx= 4oEOiVFJAhSGMchwOqsYDKLKGMqoYxzmMNaas/DU112slL7C5ZW2Tk3RyPH39mdaxUQom8P6VVQ= I7k7VOAb5SvZCKfSEL0BTFSIAAQLN9ArA0mm1Wn/qj2b/sxXYivhMSRECP5QIlggxK/eFbJpIA6= dFbgsuCKZEgUMYCFAPSGUsLFkzcyV3JVoq5tOhFZrZGSSRRQgs9IlhdoDXcTsAucTrRCynWHK9N= I+G9NuH9OOT5DPt41FmHcjdNRyOOo3ctkZK1l2UhgtwwRvc54nqxHsdJHTgrse7fcTzEpSl+wAA= /n/wDe2asYzY117TGMYRMYxhExjGETGMYRMYxhExjGETOJX20s6PSLfdZEiisdUKvP2eQSRKJll= WUBFO5Z0miAe4qnQaKFTAO+ziAdDnLc9dLxbGbipKGk2qT6NlmDuNkGS4epB2xfN1GrtssUfYyS= 7dVRJQo+wkOIfnCKDHj9unnDvvgzrDyBa7t05edk7QnCbGZ8T2cJrWO1appx9siQryOu4KTWqKF= +St8Tr5BCxGuMpsByo/uDd6VRkhX3CEE2xp528+ORmioHyJ7ER3KNetfHF3rqV43UbVUZFbGpcf= XRja25skJyUaloMuzr1mtco/lGTphOXZhKx8QrHuKw0gVUyykjK3oLhnszjdpeC4q632vEM+PdT= nLGSpP3ME9NtmvazsNolrSbV7aYSkCQyposZp5W4m9iilMNK4RoUsT+stiS+YSXrwt3a107nBoi= L5XO4HjRzY2NdtzWSpn1kyldoVbYtyFq/Mwb7Lc2dMknQGFgj4yQ/RFq8jMOI9glCJTrJsq7Wck= XAKLAXPYnmgo16JvbdNebX7x41HcKlTZSGu5OswiE3e4F0819Bxlk1tOJxFOfB6P1NzHC3u75YB= XUuQKFRFL4hy38i/Izj1ReRu4lNwIvtmam5q1GgUXXmtYyMv2gXWg5C+1usHoOy5xGg/SV7ZUpA= SElIzxi3811r9kBu1arQ7Iow7iVGncAttU3kJpvkhG76qwXShcbmHGS4xp9WuVoGfpkNKw8pES9= dQPdwdw1gQGMXRcLSTuYZODvfqBZARsm0PhbYvBvsCwccdv8Pz8v3CPHm17rm+QWt4s+qGK+woH= YEvfEL+3Y7EvA2wo36qRUqRwRNmhFwEvIqrpPH8ucjJJici+086XwJeTTw6ySpTFInZuWL45Q7M= IEJx8lVxD7e/sHQfzzH6H5qcntweNbkh5MqLtmUqM7rSy7fvus9NmrVAfate6o0faV2itFuaD+q= Obq/k73WISVUl7CwucZMw82/ZKwCzFiyUYvZAtzcLd27b5B8Pt/O9qa6TluJyuxXyEQelTjVhdH= 2zKU9pEugsVKwvVYZhFRzoi0b6XEg5crpCLsxCqiVP42v4srfFcfd3cKaNuaIqvEffF1tFjnokK= o5d7SpVR2LY29j2brClzoyycAMFZD/qsTCzklGDI1WKm3KabCWXatVSkWHujOW3Kvyq7p5HIaG5= K3DhxqHjbqbTT+pxtAompbfZb7ubbGt2+yVHuyH+2KJeBW19V0XbSFJWaonWHk6RRy5XnGyqSRi= 4FcFefXka3PyJ4s1TZPKtOSg+eOydr67tEPC69psa50HIcNmlzW2r/BlvJV2WrzdnttdlV49rI2= QlvexrU868TYt5IIt4054ttDSHGzndzgYaX5w8YfHtGBWtccaL9qzesNJXOwWVzrigxjCr71o0S= tO1FjCy7CszH9n4wV39jip1RgD6eYGXBNIkn+kfHDxksHH3g9cuDm9K9PWfh3dLTsXT3IFq7jNk= 17Zc5sZhIQ+7IzZKMHJNE5FhshOTeKSZImSjpWrSqbFdn8wGi7N2Rfb+PXJvY8H5AeWPBfZ1tkN= iQ+sNQa35Fap2BPx1dYWhtS7ksrB2el2pxVoWvQ0mNenk2jiAmDRKEo5jHrhCTXeLNCOlKbfJ/k= LRdj7l2jYrZQ179PsNxbTfVVZ9ZXcZTlK5Oz6btmynWEOk2sUulGybaUeM20fY6+mcswr89y5ST= K2NbT5BazT4Wa/wCd3kF2rb4a1citzasrOtm7mCjl4eq1OAgGatd1/Qqgzfu3Uk7B3YZs85YJd4= qi4k3RW5ismqEen6qHiqyrg67hYxjrOFFVlTmHsx1FTCdQ5h/JjHMYRH8iORvz7IGM0acZaXFss= 0jXNa8BpIYwlrgR3Eh+ifbQLdEL0U/AlwSLJR835beitMrxWMZhMdYgsWKchsRxT28iG2K0sUoY= Y7NZkjWua17JA1x+VfdGG69uvzSDmGkY9jXK7FqP3VHiq/CMaAnDLv2Ea4avaahHhByiCyr1mk7= cSrV7IOfSm6cvVnaRHAfYNDb/ANZak2hUtw1uqS1O2HGWWsJqRsc8K/ocXHLTrBW1WCvryDlSwQ= 7hzBJPYhGBeqzKDUZBZ60mkipIMEfW8OdbH2gfkpCItTOnUXxc2PZ2RSEMocj2vS9TkUDEIX7m7= THoDB0PQ+/YF6xBMxfAQwnYuwAAETGFssUPSAfkfQAB0HfYiIAAB980Js1ms2pa7zJ6rnviMu5P= SfE9rS6EuJczwQAGEN8kdp0Nd6J8LxjkNrlHFfh/gG4+vRqXm0JXVfj6mXpunEWRijd2XY3PE7f= 8z6j3APcyQBxXao06fjrVW6/ZYpwm6jp+Hjpdi5RMU6S7WRZpO0FUzl9jEMmqAgYB6EOvcR985V= 0H8gyvn4JOesVvHRjDjbepcqW29JRZI+FI7XKDm365ROCUM+aiob5jh7XSKEh5NIoCcGqUc8H1/= OXFOwMkoBx9hH2D3Ae/7h7/ACH2EAyd8bdhyFKvbhcC2aNpcN7LZNASMO/ILX7GvqNH6rw26hcK= y3TzmOe4lmYHw2sTfmhie4aZbpOcX0rsLvZ8Nqs6OVjgTouLD87HBb2MYy+WmJjGMImMYwiYxjC= JjGMImMYwiYxjCJjGMImMYwiYxjCJn4b7D/gP+mfuMIqnNy1P4+Ljze5i3HzBaCr83ttTYLavcc= Zm9aUu07ry0cdGsDGlqg0aU19VXsPdrn+qKyaU+4sq8teI54CMZGHaRaTdvkjvhk4sV3jFr7ks6= 1bQLfp/jvuDkXYNjcetSXVKwR8xUddrQMHDkdhX7SqtYK0ws8xHv52LhJkEZJlGuWpXjdusYUCT= UdAP3AB/pnpJ075KOkVotsk8kUmTlRgzWV+Qi5elRMLZFZf0n+Umor6CHU9BxIURN6TdAUX9/uP= uPy/P7ff2QAktA15c0fM4NaO4gbc4ghrRvZcfAA2SBtVPfiOuVhX77WnEetSJTJRy6ez9looKgI= fW/TuGFLhnQEN3/wBS3cycysgcPSJ1otYAAyZRCquBui9fkfx/L2/yH3/HX88tqW7wPcguUO6r3= vLkvv2r1yV2BZHs07hKTGSVmexTBRYQjohrJSpYpmKUbHlRZI+lqCYfKExQD1dD7Tkp8Pfqamca= LtK6Jsd9tO86w0LY4layPmQxlkbRCDheVrreFZM0iNXcm19RmC/1S5ivEWyA9JKqZEmYwOey927= knVhDE0bgimlHqGvC0drI427Pc4dzgNsHdIdnwvVjo5116EdJuGcN6d1+TOyWWnlgObyWOxlt2M= izeYlhddtXL1hldjqtWWRlYTR+qWVqzX9paDuNnwTa/LsTffImDUQKsg+4pbHhD+sOyFUsUlXox= Eo+w9Acxuug9xEvt9g6iLY6ss1j2eXVdXaBL26QuC1PiIVoRyo8dyv6opGoNSpg3EQH1k9Rzm9i= JgY5h9JRELGfw1lEepbW5WWmTYrNloCm0ukLJOkTJqoPpafnJCQZLJqFAxFkhrqBVUxD1kHspgA= RDuQXx++LIdTcvuRHKXasIkU6e07yw0FCO0QMLKEkJR2q8vqiRy+kir9u6GOr4FDsjYrx97fUNR= J8pcfmyuIwIY17Q63e+Jk1r0q5maHHz9Q2MsaPq8j+q58s694fpl1X662rliOxPFxfgx45jwWOG= TzcWP7IYG78CFoyrLNl7PLKsUrgXO7Qo1tG+CznxpK8UvcGs916wpl6rLhpLxyqTidOdsqchDuo= mSTKy+nfsnKZjspFocDt3CZjlEP9k4W2tRn2Qej10NtoV5DYScYmjaAqjl06rq0mib5aruKO9TS= dptnYFKuVuuT5jYxzI+o4EAw/RU0PSIAPfQe32EOuvt79/f8AHf5+/vm+UnpH2H26666/v7+/Y5= I2Mw1PECRtL1mRyHudG+Z72F3+prHEta4+SdaGjryR589OpXV7l/VizTu8x/we1doNfHWvUsTVo= XG13nu+ElsQfxJ6zH7fHHM54jf3OYWl7u7XjGMyyi9MYxhExjGETGMYRMYxhExjGETGMYRMYxhE= xjGETGMYRMYxhEzQZMph7Hv/AD9vb/X+ua8YRbQIkAfbv+4Ow6D/ANs2ToeoDB17CIgICAekwCA= h7h19uvwI9fgf7vLxnzQ/f1/r90/93+oIP/IH+yxa0bxV1hx8vG8rtryL/SHG+rjGXW1MESJJMW= ktHRYx5yxqaRSCg1duVn8ooh7kI9kHQpgVMwFDKAqRQEDAIj+Q7/8Arr/LrNfoL33179dfn7f4d= 9ZqzjHFHEzsjaGMBLg1o00Oce5xA9htxJOvc+fdXd+/dylp13I2p7tt8deJ1ixI6WZ0dWvDVrsd= I8l7hFXgiiaXEkMY1u9DSYxjOatExjGETGMYRMYxhExjGETGMYRMYxhExjGETGMYRMYxhExjGET= GMYRMYxhExjGETGMYRMYxhExjGETGMYRf/9k=3D" width=3D"238" height=3D"117" alt= =3D"" style=3D"margin-left:97.9pt; position:absolute" /><img src=3D"d= ata:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBA= QEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEB= AQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQE= BAQEBAQH/wAARCABWAKMDASIAAhEBAxEB/8QAHwAAAgIBBQEBAAAAAAAAAAAAAAoICQcCAwUGCw= QB/8QAVhAAAAYBAwICAwsFCggPAQAAAQIDBAUGBwAIEQkSEyEUFTEKFiIyOEFRYXF3gRlCobG2F= xgjKHJ2kbXB8CUzNDlSVtHhJCcpN0hXWGZndXiWpKa0w//EAB0BAAEDBQEAAAAAAAAAAAAAAAAB= AgMEBQYHCAn/xABAEQACAQIEAgYFCQcEAwAAAAABAgMEEQAFEiEGMQcTIkFRYTJxgZHwCBQVNjd= 1drO0FiMkQmJmsVOhwdFygrL/2gAMAwEAAhEDEQA/AH7EH7N2kRdq5QcoqlA6SyCyaqShBABAxF= EzGIcogPICURAQ8w8ta1TAokYCmDnz44MAj5Bz/f8AWGvNzxluDzrhd4m+xXle+0ZRFQqotoGyy= TSLWOQQMX0uHFdSJfFAQ803bJdMQEQMUQEQ0+JsFypdM2bRsJ5OyFIIy9wtNWVczsmk1SZlfu2s= nIx5XRm6AEQSWVRaJHWBIhEzKicxCEAQKG4+k/oczPo1pqKvqM3os0oK+rajheGGamqVlWMygyQ= uzoFKKwukzkG1xbGoujvpZoekCprMvjyqpy2to6UVUoeWOeB42fqiIpFCNqViCbqNjtvhWSxdV7= etgzP2WIWLyYS5VGAyneY2Pql6iWM0xbxbKzyTZswbSCKbKaQRbt0yItQ9YqkRIUgFTMBe0bz+n= V1XIvejbV8TWPHTql5NYVp5ZFHEY7LI1WUYxi7Ns9O3OsCb9guVR8gZNBdNcihRP2qlEgdyie5H= 5RGdPvbyJ+i2yurQegxz+/fkRD5sOXLn7PWdbER/RrofpH6M+Cn6MKniOnyOloc5oOH6KuhrKEG= laSfqafWZ44SsM/WF2ZjJGz6ibOBYDQvAvH/F0XSDS5G2c1VZlddn01LLS1jCpRIZJnGmnaQGSE= oqhV0OFsPRJ3w6GiHBfr+j+n/b+jW28cJNGyzpc5E0W6ZllVFBApE0kyiZRQ5hEAApCAJjCPkAA= IjrdT+f8P7dRr3m3F9j7aduKukWcyUlW8PX2Tj1SfGSepV1+VqqX601zpnDz9pdcKIL6R42tYcr= 8gAPDHa42FvDx5+3Cq3UN61Gerjle3Y32w3NbF+LqlLSEAFrr7dme03V3HODs3cmSYeIOTRUUZw= kp6vSiit3R0u1dV4bvAhYLwm4Lqx2WNbzdfyFvenIeQIC7GVhP3XJGLepH5EqrR6wZrM3CI/mHQ= UOnx8UdcL0s8O13Pe+zBNHurNKXrfruZts5HPEyLt5VOoQUnZUWTxJQqhFmzyRj2qTpM5TAqidQ= o8CbkPQ5aM2zNui2bIpoN0Uk0UUESESRRSSIBE0kUkylImmQgAUhCgBSFAClACgAarXdYLRrGpO= kFmI57jv9m3I+vBhXrpJZO34vnO7GUz9JbjZteuYRJMY2aZkjL65ZHt7Z5IKpkr7S0tU030kqVJ= BNZqwA7lZESkEolENZ86Ve8LqBZ83C2mn7pqVY65j6Px1MTMU9lsPTlAbK2FtNQzZkgWYkmLZu4= VFi5fGKzKoKihSCqBRBERC73OMi/gsOZTnYd4vHy0Pj+2SUY+bmAqzN8yhHrhq5REwGAFUV0yKE= EQEO4ocgPAaWO6Ju8zcvnHdNf6xmvNtwvlRhcQWKwoxdldM1mDF8ysFdRJIl8Jq2MRRBqu5IBzK= CUqah+Q9mofTEr9Wl+xewsVvZRp57Ejcdxtvc4MNiicge0xQ+0wB/br97i/6Qf0hpMzd31fN3+f= dwcthXZs8mKtWUbS5ptNZ0eDay1+vb5g5VaqSazx42kAaN3jhJVVs1YotitGZCKuXZhFQxeSgce= e6ERk4heQWzqEYaRjlHoL3/EQADEXKRnILIe+UFygDfxAOkKYKh5k7AP8AB0hhYKCWRSeSsbG23= /Bvz9+DDkPcUfYYB/ENfgmKHmJigH0iIB/bpOzq570N32EN4aWOMW5wv1Hhi4qxc7WrcE8ZEbDY= 5WIP61X7DM1+908fF/hjEVMmZT4vwdRiyNmjrZYSqBMnZJs25WpUloqxVUs87GRrqAQ9NMQWJpA= 4Rzxsi2dmMQiZnpE0FTHKkBhOcCiohJCnWg12sCSCb6duW57XIXwYexAxR9hgHj28CA8a/AOQfY= co/YYB/t1Rb05OqQ/zFs9zJlrcH6EW1bbWSzi5zcU2SYJW2IWYOHkC4SZAYW7SbfLthiFk0exsu= 8O3XTRSBUyZaNLX1QuplvLy49gNuT27wSTld46ruNML11KRfR8IicfDczcspHPn6xkUhTB7JOnL= FgCxgAqaYCQBasTFmUlVCGzMTZbkAjzsb7eW/LBh5pYAMmYO7tAfzuf9+lwqVvS6jMr1JSYOmqR= ZUts/74G0U4bApheeaxf7n0fJTCMW/wDfwdgWO9HVbtWZizIuRQXA4KFOIKhqPeytPrOBunwobc= IhuOJhgLd/xgmtjeNLXSwnqmS4CWFJMFAbi+FoHwB7vEEgewRDXS8b70t1Er1iS4MkM5Xd3iP99= ZdqcFCUdsxggq8fL2FFlDeADMFgZtkmzciRPG7wKkTkwjzpQlmbeN7R6gTuF5agDt2vL4Bhvchi= 9oAByiIFAB8w58g48wAfLWoTFDzEwAH0iIaW66i9L6vs1udsL3Z+plMuFTV2tkigq1xx1DxPrcj= VQJjw2VinGEmRUVxJ4plG5Uzm4FMxg9lWmZMp9b/anBsMl5pt2badU0pZnHknJeUoNtrxJFyYws= 2UunBrT7dmR+ZM6KPrMjZN0flFBQywlLpEiLqpDoWaxCk9re2xAA33PtHswYeQAxRDkDFEPpAQE= NGlYsPe6ClksaVJHKtCZymQW8eq2s0nFKHj2Ei9bPnaCL5FkAKFbC7ZJtXCyJDiQrhRUEwKTtKB= pDFICRo5G17jy8/M+7Bhasw8FH7P1+Wn4Olf8gbboH/dB8P4BYJoP7Q0g8ceCGH6A5/Tp+HpXj/= EH25/XT3wf/YZgf7Ndw/Kp+qvDf38/wCilxxh8nG44oznwbJWv/61UFv/AKwkPuQ+URnT73Mi/t= dLatE6CwCO9+T+5q6B+IyNc41V3uQ+URnT73Mi/tdLatF6Cvy35L7nLl/WNd1sPpB+xbN/wpRfl= UmMG4J26V8oP9ySfmzYdATHnu+oeP16j5u4o7vJe2DPtBYF739txNeoRgTz+G+eV5+RmTy8/huf= CL5fTqQSP5/8rQ4RK4SOicCmIoAlOUwdxTEEBAxRD5wMAiAgPkICOvNgHSQQL6SCB6jj0HG4B8Q= MedD05M5wm2DevhfJl4VGLrUHY5Ss3By4KcgQ8XZoqSq0i/ckKUTlJEqSBXjkAKJuxqcOOdehXC= ZLx7YYtjMwt3qcnFSLVB4wkGNhiXLN41cJgoiu3cIvDpKpKEEDFMUwgICGlceob0K8o2bJlpzDt= GNXbDFXKWeTc9iiXlmlYmIiYkVlXL5xVpOUM3rz2KcuDqLnZSMnEumSinhtQfEMIJVjIdHjqcNS= Cght4sKaZB+CmjkvFxEg/kFLfyl4H2+wOfr1VuIpbP1ioxFtJIvzAsble88/PvthcPC55sEJKYL= zQjGS0bJKpYwup1SMHzV4ZMhq/IFKdQEFjiQoiAgAmAA5AQ0mx0Tk36udNy6UWCgyKm0/KhGQJC= IKmdGdwoIgmIefeKnaBePMTcasU6V+wzePt/a7vEc3Ypl6sOSsDrVCjkfXCmTnreyHXkzAwRCFt= EuVicxF0hFxICybCU48LjwYC7XRn6fm7TbNufvN4z1h51RqbN4nn6yzlHlnpE2k7lXs/AO0mIs6= 5ZZh6QF2bR0p4q7ZNuBUzEOoCglIaNdKpKocNcJYg+lYq1h38wdwPV4YML07XYjcrMbgI6J2suX= rHObhSwIQRmNhqNYlTCVNx63QZSl0koqKK7UbFWKKJHYPVw7025FDCYo3d0DD3ughteqW5trzKw= 1NG2V5az+PlzBa7cYBKWaHmPGbtrqdyskMeVwCiTZJRdUnJEiGUEoa2t6XRG3L1LOEzmvZQ7a2O= EmrG6tcZWWVqY0e/Y/mnTgXa5IiSmX0VEyUUVyoopHuG0y2k0SH9EWj1CJFdL47gtuXX0by0ML5= bNvq1GSjhegpmbGahAYpukjOQUL79znUJ4AHA5QA5zFDgCmMPGpXZXUFWitYbOBrHIEXO/wbX54= MYf64YnHqPN/E58UMf4aBXuEBHxitzgpyJREBHvAeRARDu54HTIfVJSS/Ji5iMJCib9zyojyIc8= CEhB8CHPPAh83HHn5+3VQHVA6dm9LcPvFiMq4tw2/uVQSx/iaKkLCW3UKMAZmAYlTn0jtJu0Rsk= oo0XE3iKkZmSXNyLc6wCAjebv8AMPZHzFsPyTiHHFbVseQ5+l16Kiq6nIRMeo7fsXsUo6bg/lXz= GKTFIjVYwqLPk0zdnBDmES8xlx/Di6koRqAOym6nc8hsBcnbBhTjaGjIq9MzqMljCqiYj7DyrwE= QNyEeSYXF13AUP8WIdneHs4AAHy1Pz3N2/piFo3GR7xWPJeHUZUVopNYyJZJavouHwPwagfhZRA= j07YzkiQCBREhlA8i6k30junpmXGGHt1eJd2eK3FNr+Z2MFCtmLqeqs4eVi/VcwzkXDZStTc0Rm= 5YKumy7Y7oUVCrgkqkU3YbtrOyl0VOoJt4yk9nNrTxzkCvkcOhrF2ol+h8e3NjFOlDeHGWKOnZ2= tqJPE0uxN0MQ+lYx3wVYFETKC0QcXRzJGWClipDE9nZVFvDu3N9r+8w7CYqZijwADyID8/t5Dz4= H9eka8UFD8vEUA8v45+QvZ9U5aP1AHHH4amZsm2v9YKmbqcJ2fPBMxlxDDW4XV89fZqq1gh/Uox= Mkl/hCGZXyTdyCAPFGo+A3YOlO8CH8MQIJg+rHnTt3jQfVtLuUksMvW2Fw3P3O++/QbZRFEfejK= ys+5YzHqhGzK2DsXRet1CtPVXpxAUAqjVMwHArYwIzJeVGvHYFe8m2w5i9hex3F/Vgxizf51J96= GR96ti2x7ULbYao0rd8Liuq1+nFimc9dbki5KweqPJSVICSKSksKzRqCrhmybtm3pTlYEhOoWNG= 7bGPWYg8EXCY3aL5DcYKZngD3AlgyRiOwRpTq2CNRgjLxVatUjNODFn1Y7whZM1hRWEqq3YgRQ5= ZmdQrpG7uFN11k3JbQ4r31srraS5ATJA3CCqdxod1UVK4fuG57FKwiThs4flNIM3kY9XXSUXVRc= NkgTIdSNF/2WdcrK1UkaNkavZYudPlzNBlK7O5cxc8jH/oLtB+z9JbnvIAoDd42buUufirIkN59= upIjGFjKtCllFy3p6rC5FzYEnbkL93jgxRbwQfMePPz8x49vn9OjVoH5GfqTf9miV/DIOKA/Ve9= GqjrYv9Ve7+ZP6f6vP4uLGILqfEN9mn4Olf8AIH25/wA0H/7QTOkH1PiG+zT8HSv+QPtz/mg//a= CZ12h8qn6q8N/fz/opccY/Jx+s+c/csn6qlwkRuQ+URnT73Mi/tdLatF6Cvy35L7nLl/WNd1V1u= Q+URnT73Mi/tdLatF6Cvy35L7nLl/WNd1sPpB+xbN/wpRflUmMF4J+1fKfxJL+bNhz9H8/+Vre9= mtlH8/8Ala3RDn6fbz5a82Meg68h6h/jEY8wbytse3+ytahmrNdCxvY38WlNMYazy5Y9+6ilnC7= VKQRSOQ3c2O4auESn8v4RE4efHOsTj1QdgAAIhutw/wAgH+syY/8A8g0tR7ooD+OLjvjy4wdCgH= 1c2q0/7A10XAPQm3B7hsL0HNVZzFh2Fhch1xnY4uInSXUsoybvAOKbZ8aPrbxqCwdnChkFlkw55= L3B5alEMelXZ9Je3cbWOmwsPLne+/lhcN3Yn3j7Xs5SIw+J88YuvUwXjmHgbdEuZcQHngxIozkj= 85R4EAMRuYBEB4EfLmQ0lMxEMyVk5iTj4qOR7QWfyTxuxZJdxgIXxXTlRJBPuOIFL3HDkwgAcj5= a83zcftp3AdP/ADfH1G8rlrV3iiNLTTbpTJN4pFzEcV0om1m69Kmbx7sSEdN1G7lu5atnTdYh0H= bcnJQM0orlRXqG9HVWYuWUKTiezSIRtNvmQb+/dRdUjLTSrTGpunsi7jW7l02NPtCR7xAhED/w8= mRMQ7f4QVeBVWNlkBRiouB6N7G+177mxF/edyYvkhLRW7KRdSuT8NPJNTlTcqw0myk0kFDl7yJr= KMl1ypHMUBMUiglMYoCIAIa53VIHRPwFD4BxxnCKh9wuI9wadgu1ZkV5jEk3KzTCuHaQDhqWOmF= JZgwOg8dkN6U3TSKoUyJTGMYohxq0PJe6Xbphp6lGZUzTjmhyapQOSOsloi45+JRHgDGZKuAcJl= N7SiomUDB5hyHnqIrZtAu9tr6SL2AJNjv6v+MGM+a4KatFarZEVLDYIWCTcHMmgpMyjKMIuoUO4= xETvV0CqHKX4QlIJhAPMQ41E78onsb8/wCNNhjy+i6xI/0cLef4arm6u+Mse7wML4DsNe3SYQxN= T17JK2Gt3bIFkkmdcubN3EqNSp11/CMZAHp0RTUWP3FImBCmEphMHboC7gHsgmxNuR8x8HBi8tv= ZIJ7Eqz0dMxcjCooOnCkqweoPmAIsvE9LUB00UWRMVv4SgLdhzCmZM5TABiiGo34o3ubV8528lC= xDnLH2QLgZm6kPe9XJgr6TBixEgPHXglKXhJsKhPFMAiBe4OdQa2fWLC2zbp4Uam5G3JYessU8R= y5G13JMFZVC063ycpZLXKnjYB/MosnL13GmeerXaQoFEjtqsQncUpR0t50X8uY0w7vaLdMp3auU= SqBQ7oxCfs0ihGRYO3irEWrf0pcxUxVXAhxTJzyYAHgB09YtSyMNR0jslb9o3FhvyBHO2/8AvYw= +po1Hou7HbafGpsxlzTj4cWEmBr576FhZe9gs2HbzFjK+J6ODwBOUBR7u8BMAceesbflE9jYf9K= bC/wD72iR/UtqLTe+xNjY3BNjttv7OWDEzRHgBEPPgBHj7A1E20759p1HyMriG353x3X8npTMbX= zUiRmyIzoTUyZqSLjRaiQR9KfGetStydwd5l0w58/LMGNc24jzLFLTWKci1HIEUgfwXD2qTbKYR= bqiHkRx6IqodEw/mgoUvdwPbzwOkl99XBusrK8gA9u4fCvH1cPaVp8UetmQkgBdS7n3HytuLYMP= aFOqJQESF5+fju49v1ho1rKQBAB8/7j9mjTLDz95/7wY8xBT4hvs0/B0r/kD7c/5oP/2gmdIPqf= EN9mn4Olf8gfbn/NB/+0EzruX5VP1V4b+/n/RS44x+Tj9Z85+5ZP1VLhIjch8ojOn3uZF/a6W1a= H0Fvlvyf3NXT+sa5qrzch5biM6c8f8AO5kX5w/1tltWg9BY4fv35Ln/AKnLmHl588SVb8vtEPm+= fz1sLpCNuhXNz/alH+TS4wXgj7V8o/Ezg+2eUb+029e2HRUwAO7j5xAfx89bmtlMwD7B9vH+4P0= /o41vcgPsHnXmupBA33t7bjnj0Iwln7oo894uPPuPhP2qtWmWOmIADsL2xgPmH7lsD5fgtpaf3R= R5bxceD/4Hwn7VWrU3tmPWr2eYH2tYZxFdi5KG20KkRkDNhFU8X0eZ+0BXxCtXgv0gWSHkO04kK= H08aqmV2hjCqW9DceVhf2jw9RwePxbcY6x7pVhYcIfalOgigSdGVyhEeOUpQcLRAM6e9MgYwfDM= g3edpyF8ykUcqCAAKgjqD+3N+/X6He85guZUzCPz5XRYlN3CmmZ40xyo7Inz8EAMZNE5wDzExuR= +NqNPVM6gbffpl+ry9Sg5at4sxrDPYOkxc4ZuEzJPpl2g6n7HJNmiq6DNeSFjHM2rIi7gyDOPRM= oqKy6pE7PEcFTWDugDe/fNGqRdiyjZ47KT9m4TMm6bsp211iMr6TghwKcih4GGYOxTMAGTM6MUQ= 5AQCQDRHCjc2kQhdtrNf/Fj5ePdgxjzpLZzf7bunfv/AMxQwpFnqpP1o1eOsHckSekaq7j4pU5O= Q8TwHjpNcExHgxkylEBKIgNfOyXZJmPqiZmyFIzWThgUodJGyZDyXZY97bZE7+ddOCsI9hGes4v= 0168URdKpoKyrJs2at1TeIIESRNLHYHjqbyh0p+oxWa61WfS6NkpdgbM2xDKLuS1yDUl10k0ygJ= jmM3aqD2gAiIF8vMNcb0SN9WG9ol2y9Uc5S5qnWMntay7jbUo0cumUXO1dSVROylQbJqrtmz1rK= KGTX8I5UnLYqZ+PF5Ku69e6WLhyPEhdt7cr7nu/2wYjt1LOmwXp5usWNiZiPlj90pGyLGOeiBSv= Uw148WQCgULdagf+l+se7uEWfgeAAACveIklRv7IX8kz0x/IPOJff1bJ65Prrbtdvu6OQ2+q4Ky= RDZBTqTW8EsJ4kj0gRx5RWBFiCwO2zf8AygGjjs7O7/Fjzx5c8dv7/wA0z0x//KXv9WyehWZxTl= x2tT8xvsO/bmB/344MTD20bDILfN0jNt0NNZElsekxlZc5XJs4ioBnPHlli3e6JegLpvJGOK1SE= Cc+OmdU/I8eGPGqNOnxs4h97W4kuDZq8yNBZ+9qwzw2GMhGs668SEO3KRv6A7kI5LtceOPccHIC= TtDgpuR02V0dE1FulXjtBIhlFVmWckkiFARMdRW/XchCAH0mMIAAfOI6Wj6QuecX7ct7TG55jsz= WlVR1V7lXVZ6TTX9AYSb87czUkgdFNQ7ZJQWyifiGTECKGIU/b3aZG7gVAX+ViVsL7ki/r9XLxG= +DDIE50p8a0rYJLbQ7PuIfwNHY5GVylKZXmq1BRhmA9yRjsHUc7sSMYi0KKRQB0pKFOImKBURHg= pqbn3S26b6IOESdU+loPUvFTAq8DUFEkXBQMUvjFSuZBVIU/HeRNZMTB8RUo8GCWXXY3QQGW9sO= FXeB8hs7dii65JscbaJurPHAxMpJ1eKaOW0M+VEqHilaqPxcmbKFFMygpm4MJQEKv9qWzjp45Ww= 3XLpnffWviXJEmtJhNUBCGiEArpGr5VuyQOvJoPFpAXbRNN96STwEgByVEqXciY50j16DIXdSzm= 4VA5uLDtWUkX9W2DHFdM3Iln2y9SbH+OqTfmNwployi4w9Y5KuOllKlfq5LPXURG2JkiKqiYkK7= BhORixxVWbCQUBVUIZTv7ZvqD/llJUfLz3D4W+3/LqV7dYI2nVej0nqkYPqONLca/UCvbnqtF1G= 5nIiQ1mgmtjQTYTBityJoFF6iAK9qRCkDnyAA8tZ131f55aW/wDUNhf/APdSR1Ugfvg3eYTq1Ai= 9xbcEC3uG3lzMPdE+KH4/rHRoJ8UPx/WOjVtwY8w05i9o+ft/Afb9fs/HjT1vSuyLQj7Htv8AXE= 7tU1LDH1Z4hIQZbFEDLM1zWCXOVB3HA89MbqGTOU5U1USmOQxTAUQMHIl0aOnOkXgdvPjGAPjK5= WzQcwj9PnkQClEfP2AAc+wA1tKdGjp6CAi0wbJxag+YKx2XcypHTH5hICuQFkw4+YAT4+kB4DXT= XSn0u8F9JmVUGVmDiTJ/o+vatjqPmGX1ayloWh0NF9KQMoAbVfUdwNsc29HXRfxn0f5nU5khyHM= /ndIaWSE11ZTGMdbHLrVxQzaiTGAAFFr3LeFN2cuhhuZuWR8jZAqOQMUy7O43O1WphGqv5lg9Rb= Ts09lGzVdVxGi08dNJyVNQxFTpCcoiUwlEB1G6nbBeqRsvvaGV8Q0l8lZIVBw1GXokjXLai/iFz= pHeR0jDPvFRfRz30dIXDRRoofuImdIU1yJqEY0h+lRgGnqlWxzkPc5jNUg/wR6PuHyBHFR/0SlS= ePpFIxC/6KqagCHIG5ARActxG1rM9O7S0nehnFdsmXtLG5Sh8Y5SZK+XwfSH0hTYa0HAvsMKVkQ= VUKI96hjCBgt0XTjnseXjKJszyfPso+bJRSZfn/DU1KktIkaxCCU5fU1IcGNQpLX2tcm18VcnQ3= lr1v0lFlmcZPmXXtVLW5PxBBUvFUs/WdbEKyCldbOS1lZTucVubfesy6hpGLxzvlxJZcEXJQyTE= LsevTTGpyrgpiJGcvoyQQ9NhvFP3HUUZqyceTjkqyRTFTLehTbxVL7X420UuxxFnr0u3I6jZiEf= NpCPdonKBgMk5bnUTEQDyMQRA5BDtOUDAIajBP4xzzMRDuv5Gi9uufK87SFF7H2WlydQWetzB2n= KqweqZBhXC6pfzTCxRKYREok8g1gigbOnWKbTIWnbOFo2wzzvtfT+NjyiF/263M/cAKtVqq5fGc= 1h+oI/8GlKgrBLsEQApWy6BlWaur87k4UzcyVmXUX7N1jXJp6erkzHJZWuCerWoSHMsuBJ2Xq6y= EWABiUE42Pkp4rygJTV9Q/EFICqCaqpky/N4VGkDU0bzUNfZebGanlaxPbYhT07fd0lKBvyyvBZ= UtuWrdQZCBpzOnoRcBAw8ozctWclJSRXii8g5SVIuc8komZMpRTAiRDAPImDUJB9zZ4YABH98nk= wfqCnVnkf/n6v2pN6n3Rk4TIVe96lrITwxIzXNI1uZUTADKua/MgkiKpDAPf6BIItJFMgHMDdUi= SipcuFHuKUfpANYVqmhYprFltpK6GUrsey127J3Hhz9WM8ilWZA63F+asCrKe8MpsQR4HFFW33o= FbScPXSNu93nr1mx9DO0H0VBW00TD09J62UBVB1IwkM19KmDIqlIcjR9LGi1BLw6j3JQDizHdlt= drm6jb1advUnOyFLgLMnDI+toGPYunUYhCSLSQbItGC4t2fhD6IRuCfJAIkPwA5KAalNo0ws7FW= Z2JUgg35EG9x4eobYkxXDsM6fdG2A0XJ1Rhb9OX+HyFMMLHMurVERcYVglERDmNVbFRZKuEV2qz= ZVRRwK/AgACXgSiOqh9xOwTo/5av03c6hu7rmDpOXkXLqerVZtlbmKmWVUXOZ84joWZTB5CHVcC= c67FpKjGIn5IyYNCB4Ys/zkYMxEycV4ooBJRzxgKwFA4pA8bKtxUAgmL3iQFe4CiYoG447g550s= /Le5tqvLSspKH3TzyBpKQevxRDGEcoVEXjlVyKYHNbwE4EFUSdxgATAADwHsCSJhqdmkaMsb6lX= VquRquLW9h7+WDFFW/bbnte252GiwG3LcaO4X17Fysla3qDaJTZ1oyC7ZCKag6ilVkFnD8DPFVE= THBRJNBMwgHiF7mX6r02Yfep05tjOOsj3iy40cY8xzDWdM0HDMJJ04UscWq4RaPEpJdAqHhs36K= g9gCYFOSiHGsd4b9zq4Nol5h7VkzMVqyzCwj5tIp00tZjqjFyzhosVdJvNvEJaYduow5yFByyb+= iGcJgKR3AJCYhmI4xg1io9lGsmyLNmwbIs2jRsQqbds1bJlRbt0EyABE0kUSETTIUAKUhQKAcBp= 8ktxGEZiyEkyEWJ1W2ty2FwTbvPO2DEZdnW2OD2f7fqnt7gLNKXGGqDmzuW0/NMmsfIvhs1klbG= uRdoyUWbplbKyh2yfYce9JIpzABjGAKps3e599tWU8lWrINTyVkHFjS2TD2de1GJYQk/Ax0nJOD= u3/AKkGRBs/Yx67tZVdKPVcPE2YqnQanSaEQbpWob0M9utt23fJGVYYsQ6tUHDHSqEVMOE0Upiy= Plk2kazRbGWRXkliqL+lermhhdO0250kgATdwRSwnu5sUdjvHF5tN7kc8QWRY+JrqUvHVeCqs44= zlLP0CvMf1WtMYGtCWuw7RZ2dzKzQyCrJtHKOnk48OKhQuFJkuaVNB9K06Xgkq3o0ADapKlIknd= R2dIAie6s7rrYOEvpbTYqviLLqPMTls0hWZKVauZzbq4YpJepTUblizMCSqqSigM3pC/yVLpKbf= YjaA72c3qes1/qg3CXvMJdDpMK7cazY5NNqknIQirQj9iko1I1Eh0nSDpm9QVOi7aHL2CWCR/c3= WDzKHFvuRycih3GFNNWp1ddRNMRESEOqVyiChgDyE4JJ9w+YEL7AyVb9+WYlMq5av1PtidaokdX= JdjSsd2WsK3Ik9J0N4lVTJxraKsUQ1YzFzyhMKVSPkmsg9LIN4NRRBFZNDuGSWDt0uQqtjVKDtt= 3jcwZNppGjK1leNmVVaSU0SxxhckNouxLzEqvYEsaNZKUYmfN4eMi1TwSzd05TBBZyndKvhTOaG= nhqHlgczGD9zG0jOjzR63WVighQwMY45LSspd7Kdja10fG2U1lRLAi1CJF1xM7rGI2WFwodFWRp= mEg1MoMSkKtz6QxHnA/QRxNgPNGMM0w2fL/YZPGdzhbmxhZCrV9oxk3UI7I8RZunDd4ddFBc5AI= ookUyhSiIlAR9mU8zdGjGuZd17rdjKZnusJYXV7qN6GpMa7CuYgHdRViFmzAH67orv0d2MQmVZQ= U/ETBU/YAiUvOWoTqMUy0WSsy8EM0pWZuqVlKNx4NYRVulnvmRrG5j6NGxkmEsmyaeLDxL+detX= LcU04Jy3mVnaLcgFP8AJI7r5HcjlLCmLcPyVnx6lGZYlbBl6XXWYtVFKdi96EWvVG7xk4dNpBhe= ru6a1kwIHMDxvHyfaJkk1AGjHD2dhmaop5KeKKJnqp5hpjgjRGk/eG5JLBLLoV9Tsq89sVX7W5O= 6j5tULUySSpDTwxG71DyPGg6vawAMl2D6WVQWIAxaqRURIUe4A5D2eQfP9A+f9OjWlIp/DL5D7P= nARHjny5HnzH+/I+3RrHb+Pl3f+Pn5/Ft8m9n+PLz+Leq/16NGjTsLg0aNGjBjQYvdyAgXgfq8/= wC/P6NbfggAiIAHz+36P6Px+0R0aNIQDzGDx8+e/P4tjQdokoXg5CH+EBvhEKbgxRASm5MUfMog= Bijx5G8w8wAQ+godpQD6NGjSAWv5Gw9w7sGNWjRo07Bg0aNGjBg0CPACP0Bzo0aMGKcuo8ycwWY= Nr2TrDMSZsd1yZt8A5hIL0NaxRVws8UVjXb3AMppsvXH0rWuVTtCzBkyNjqAsgChyAUZDVHA1Rz= RXKrNK2fJTOMo1oVmaK/kbg8m7Yk6dVlauWRxKyVgLPigadQfuFSNo5yJIZwPpcI4j1j9qZo1mm= YVM9Pw5wzNBK0Ui0laoZDp2+kKu9wOySRI4ZiCzKxViQABr2ipKaq4m4khqIUmjerp9SyDUT/Dw= gDUe0FAjQhAwUEagAxJPCQXTLwRXU6wVjM31RSo+8b1Wu5mo46gFoDqTdwoKAnCJE7jrSjly7UI= Up1JP/DZBTmlXEgtlGrbKcVVTGN+xPFu7ENcvUNea6m5cPWakzU6/f3ko/m4mtSRI5NZFIHky8W= SdyPrGRXAG6T927TQIXRo1YHz3OKlUWfMaqVRIkgVpDpDxsSjBRYAoSdNgLAkciQcmh4fyWAu8O= W0sbGNkLLHuVlUCQE3v27C/fsMdJjunZheFmYmzQkzeImfg7Q3tMVKs5aMIsxdkpo0J01atzQh2= KDN1Xh8FuRJsRWEWI3PX1YtJukiXvWCtlOJ9v88SxVBzZJN63hGEE2LY5FnIJNUo1WWVQeoAjGN= FQkDFm5IizhRZQFlHbp4omL904dKGjTZ88ziphmgqMxqpYpVVJEeQkOiDUit3lVZmIBNgWYjdjd= YOH8lppY54MtpYponWWN0jsUkYjU672DGwubX2HhiZBSj2hxxxxwHIAI+Xl5jwOjRo1bLfFz8d3= xc4vdh4fHwB7sf/2Q=3D=3D" width=3D"163" height=3D"86" alt=3D"" style=3D"marg= in-left:226.1pt; position:absolute" />ISSN: 2697-3391Vol. <sp= an class=3D"awspan" style=3D"color:#ffffff">8 No. 2.1, pp= . 19 <span= class=3D"awspan" style=3D"color:#ffffff">=E2=80=93 33, abril - mayo= </sp= an>2025 Revista en ciencias = m=C3=A9dicas, salud p=C3=BAblica Art=C3=ADculo de revisi=C3=B3n bibliogr=C3= =A1fica.El<span= class=3D"awspan" style=3D"letter-spacing:4pt"> art=C3=ADculo= que se publica</= span> es = de exclusiva res= ponsabilidad </s= pan>de los autores</span= > y </spa= n>no necesariamente reflejan el pensamiento de la </= span>Revista Anatom=C3=AD= a Digital.<span= class=3D"awspan">El art=C3=ADculo queda<= /span> en propiedad de<s= pan class=3D"awspan" style=3D"letter-spacing:-0.15pt"> la revista y, por </span= >tanto, su publica= ci=C3=B3n </s= pan>parcial y/o = total en otro medio tiene que ser autorizado por el director de la <= span class=3D"awspan" style=3D"font-weight:bold">Revista Anatom=C3=ADa Digi= tal.Esta revista est=C3=A1<spa= n class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spacin= g:-0.2pt"> protegida bajo <spa= n class=3D"awspan" style=3D"font-size:8pt; font-style:italic">una<sp= an class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spaci= ng:-0.2pt"> licencia Creative = Commons</= span> en la <sp= an class=3D"awspan" style=3D"font-size:8pt; font-style:italic">4.0<s= pan class=3D"awspan" style=3D"font-size:8pt; font-style:italic; letter-spac= ing:2pt"> International. Copia de la licencia: <a hr= ef=3D"http://creativecommons.org/licenses/by-nc-sa/4.0/" style=3D"text-deco= ration:none"></a><a href=3D"= http://creativecommons.org/licenses/by-nc-sa/4.0/" style=3D"text-decoration= :none">http://creativecommons.org/lice= nses/by-nc-sa/4.0/</a>D i</span= > a g </s= pan>n =C3=B3 <spa= n class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#fff= fff">s t<span= class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; letter-spac= ing:0.4pt; color:#ffffff"> i c <s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#f= fffff">o M</sp= an> =C3=A9 d i c o<s= pan class=3D"awspan" style=3D"font-family:Calibri; font-size:11pt; color:#f= fffff">P =C3=A1</span= > g i </s= pan>n a = 33 | 33<img src=3D"data:image/jpeg;base64,/= 9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEB= AQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAAbAE0DAS= IAAhEBAxEB/8QAGwAAAQUBAQAAAAAAAAAAAAAABwUGCAkKAgT/xAApEAABBAMAAQQCAgIDAAAAA= AAFAwQGBwECCAkREhMUABUKFiEiGCUy/8QAFwEAAwEAAAAAAAAAAAAAAAAAAAECA//EACkRAQAC= AAYBAwMFAQAAAAAAAAECEQASITFBUQNxkfATImEygaHB8dH/2gAMAwEAAhEDEQA/ALAbx6gFUHC= ruua3rKsFMMDvK/BjZu2mcwdmDZDW+LBBRGGRYS3M6bOyDrRuPBR8MxTTQatUEUk9Go5nvujzW3= N/m+6DizK0o6FqbmeLnGqRiK1tedm26ftJ0HdJ4cMNZg3jZduPhxR033S3cDFMvXg7ffZF4gi4T= UQ1DjUFHp95X/HtX1jtGj+vMdg+QCyRAYpjTcPIbgrE/dUprRB6grn4FnkcMMk5QE13122/asEN= E9d9lM6ZcD3yLdzI0R2hNAl83CT7Urt/ZDeV8go8yOCkS5trYN0fXsL2s8JJW8FS+6+iVIF5XN4= 43LyCQNp+mOeGmjF21EKI75QhG5S1Va1V6/c29TGEPGOaaqynLmVVZ0n5DeivTHcTv/oqsb6R5H= 7biswo6/zAR/JqzMArSmcgqO9I6I2/7l9WUpWKtt1ioVPbRcvGSCSRhmh7190fj11yoSWJnproe= 4bApHmWTvI8ypSLBZX0HfVjy+ekINWmZQyfFYrBQQNjJWDmY2KcCMFpAuLw/Yj4+Eci3pV3osWH= N1mF5GZrA7Y8aNMXvGulpv1VN6i8idFo863tPapzVUrLE5OeZx2YQmOqpxeHpS6OrRAhJ3hMoNE= 5HkHUc0YPfsPY5ndB78/T6q4QO8jXAnQBpKuMd1OJVcHPFklXbIKIs0zJaNhVYyylxUkKbIimti= RArWwwuCjT9ym5PBZfs5EJqrNXSP4EIxnu/cLlWyzLw+51V+k/SieWm0lBlWaVWINFrrduv8Xgf= tJJ1jV1HVv1jM7KK3NyzOZElFJjJGidg1PbVEE3koViI0xY0FdziRMlYo8K/RWXfJP2bwWFLhzL= htuye/Lp4Zl0nI5b0Xjk+sOi67qGaBq2dW9Zln37c8hDRWBwJogs9xkPH1pgJfTGSKjGrs45HNX= rVsGjzfcyTX0bKoZ3APKsIiPEfgmeePSS5Jp9w972bcZUnz2SeiSk4rlmYsJhVyNlyEKIcO14pX= ounKlhk+SOG9m6T82a2RGLrOHCLNKQEAhXKzqy+v8AmbsOrqIlqnW4qt57yjL+icaAa4K27X1QD= KoJVgpZSOiJuEyfdyAFycQmDKMCxYWXL6CcPXbdZv8AhljnC6qN5RDkD8/7d4bCB5IRuhtY5mmq= 4sdSzfbCGPuO44dSy/W4XqSOdh8fxmfK17c9h1i9sWBz2jHO0n/q7SdyOJuZiabG63cOXIo8qTa= KtSDWEGB0ty2WH7OstyXOLWuKVTKa11T1hsYKIp6t07h6S6LuGxZ3pU9BVw51eKBnBFgOkCL+Uy= 6TpCyboJH2jlsjoOYOHzt1jZRk2dxFuvPcPOXJ9wcqZ6Fqo4968aTzmioPHdI5Nv0TYcBqGVR4h= Uhu3x12JZZy6PxCFi/t2XGSVgJEhI6JtI4D2cInd8M2xUBs4PXAHsnjW3Fa70U7RgNGlucZbesh= MwqoLJtujGIRq7o2cT8SQFbxM0fzFhRuItXxRFscWIk09ESe7RYU/piZxXcdO6y+9b/5gfH4zyR= jdXGX25nVMtCK8Mni67MeOM9GWI3gkxvSuevYx2vR1Rrx9XohjBGVzUzdlHxOULKIjLWVgM2O4c= S2tNMprOnZVog2zqIbuSLN07+i7R10HeLWVGpMn0u1eSo/IwY6wK9fRz9wfJyBJk2PVXHXbvIpw= YdPlWrIhugi+2bNlE2m7lRd5hHDh04VVoL6GmthjrX6E6Cv2CVXTF59F8AN/HFzHxTVNsxa47Cs= wkdlw6SnbqmOYcq5YgK6r9qL1RZHjCnwiophdu9eNyWGg97dz4co+tE490FFnK/2nEbNUkBXc+u= 2cOFxFKxwestrnbGNs6qqN9t9c5xjOdc49cev4yo+SKB+mWxVbb12aGnBi4wgebxxrRjNYqpplR= pdxd8YfLn8j7Cddx9D8v29KRnOz6hO4b8kfLPUcc0dfs6pt6HdDT4jGy01TWV2bLRQ5ursHkGc4= SHJs1vcV1wOwuu31HVX51OrYRChQK+vHVP7qm2g9m3Y2/ypOIJKams7OqOmjWTN9Cb5uTiTQtrj= V2okRw4bMsLb6Jb7I667Zx8d28w0aZ7f7IMEoP8AYIleqehCRBxiSy9D7D19bcudOl/hbn0kEsq= uFVFPjRSTS093tT000xrrgZxSFMYAJ3AweR2dEAm+m+mREbuO2gw3Gu+ce/2MR81QbJ529c+uya= eu2fXP+fxhW2h13t3eKp3jVNNN6e3Zv+e8XG+VDyg2VLJXAL769GQytlqaIPpVyF4+4zLh01Oa2= a7HOBjG8egzwPfA9vvFxzp6lHGDVPVBsu9dNhqi7h0R11hBzj5KeufJO9sWn1Kh5OKB4dCmE7NC= rXjsvPAiiT2ewyuhDFiPFi5KvkqtI5yFxo6UZoIMmmrt2q8SwjjXeAZfmelz5B0XOxUiaKvVdln= hMtN58RIO1tv/AEq5ePJQs4XU29Meu6qm22fT/Ofwl0/AYzRBY6cqJEvBS0kCpRw29ESmU7KkAy= RoVI27RXD0y7T02ZyAAENMXSOiTxgUFMXzNwg5bpqajEUUFNn5898GSK5pBKXb1pxtxg82F3r0B= 4843AZZG6E4fizS/GDyRQzepB7/AAamMIDNxjF9MCmG6LMkOBDZ3tKaq3YSDdkUTsOs7FD6CsJR= vd85enP3ks7b8kGLCqePUFyzPUYtHBUmMwuxGBR63PjnskGR5XUGLeakUipQQkRWPOWaOmj79KL= KOGOrhyho2VhXMaSrifN4k0mYkxJW8Fj5CLRBMtNJu6wAjxWay6xiQphtvI/fo1fTmeTGUOdd9t= 91S8iJudt85X9NV2rawiNMF8yKqdJJADuXgF/+3jE6nQx/h5GTjORgXGrlCSYV1UFnB7Mk1zrtj= 2uW+mdsba+7XM5IXeUvv56YX0vHd5I2c1rx/wAMSGsLvK7PHu2RUjlJ8PRGeHcif7fC6wikxHTA= GIkYnSSwwgfOLR8WDKDpJHV2RtmzDyQquLSetUCrNg9wogi4OffK71p5AJHKqKWqrlR8xRhD+Yv= 4/ZwaSn2EqQHHY6CRj0aiTBnITEvlaz6SsyDYIEDviqQQaeON0FEwy+uY6WHG2VsRYDCbHISqYx= WNkHhIMGNTeZuG7R883Wyo4331P6OHe6WrhdFlh6s51GtllGo/Vq23yllCqisIZSZ97J6sYk4ab= JiVQBJ4NlEqW1IB1iA0v9B60fmnjJ0igYDhzLLK7ZTdgZECy7HduRHM3KLyR00NNTDfHBczEs0H= n5pg6T7ubp3x5x+qLAZ8gcm1mn0FGjhYUQhMLNBjaGI0WQYkYrJ13TMWSYlUGD2OSNQFsptq2ES= EGq8SbPt1WrfXr/Fu67nvbvPHWd12GHj8dkX/ACIARHZhGk3Wo3LIDUkNWar41drKrYXUySVwr/= v7c4109uMemfXFvacXZ3SNbjLaMTexB7A44kg9nLbGsA0gNNvhYwG+IDU3kmUwOVfCw4tq+0ZfA= i8+g2WcpKuEtVfzZ5/FUraF1lyF0YLhAbIRiR6Ry/eIYJFiXzO8VjBm+FflLP36yfoiknp8aSmi= X+vu9nvzttkyR3ovDIRi5gpqr5r+sf/Z" width=3D"77" height=3D"27" alt=3D"" style= =3D"margin-left:441.05pt; position:absolute" /> </= p></div></div></body></html>