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:595.3pt 841.9pt; margin:12= 7.6pt 85.05pt 70.9pt }div.Section_1 { page:Section_1 }body { line-height:10= 8%; font-family:Calibri; font-size:11pt }p { margin:0pt 0pt 8pt }li, table = { margin-top:0pt; margin-bottom:8pt }.BalloonText { margin-bottom:0pt; line= -height:normal; font-family:'Segoe UI'; font-size:9pt }.Bibliography { marg= in-left:36pt; margin-bottom:0pt; text-indent:-36pt; line-height:200%; font-= size:11pt }.CommentSubject { margin-bottom:8pt; line-height:normal; font-si= ze:10pt; font-weight:bold }.CommentText { margin-bottom:8pt; line-height:no= rmal; font-size:10pt }.Default { margin-bottom:0pt; line-height:normal; fon= t-family:'Times New Roman'; font-size:12pt; color:#000000 }.EndnoteText { m= argin-bottom:0pt; line-height:normal; font-size:10pt }.Footer { margin-bott= om:0pt; line-height:normal; font-size:11pt }.FootnoteText { margin-bottom:0= pt; text-align:justify; line-height:normal; font-family:Arial; font-size:10= pt }.Header { margin-bottom:0pt; line-height:normal; font-size:11pt }.ListP= aragraph { margin-left:36pt; margin-bottom:8pt; line-height:108%; font-size= :11pt }.NoSpacing { margin-bottom:0pt; line-height:normal; font-size:11pt }= .Title { margin-bottom:0pt; text-align:center; line-height:normal; font-fam= ily:Verdana; font-size:14pt }.paragraph { margin-top:5pt; margin-bottom:5pt= ; line-height:normal; font-family:'Times New Roman'; font-size:12pt }span.A= suntodelcomentarioCar { font-size:10pt; font-weight:bold }span.CommentRefer= ence { font-size:8pt }span.Emphasis { font-style:italic }span.EndnoteRefere= nce { vertical-align:super }span.FollowedHyperlink { text-decoration:underl= ine; color:#954f72 }span.FootnoteReference { vertical-align:super }span.Hyp= erlink { text-decoration:underline; color:#0563c1 }span.Mencinsinresolver1 = { color:#605e5c; background-color:#e1dfdd }span.Mencinsinresolver2 { color:= #605e5c; background-color:#e1dfdd }span.PlaceholderText { color:#666666 }sp= an.Strong { font-weight:bold }span.TextocomentarioCar { font-size:10pt }spa= n.TextodegloboCar { font-family:'Segoe UI'; font-size:9pt }span.Textonotaal= finalCar { font-size:10pt }span.TextonotapieCar { font-family:Arial; font-s= ize:10pt }span.TtuloCar0 { font-family:Verdana; font-size:14pt }span.Unreso= lvedMention { color:#605e5c; background-color:#e1dfdd }</style></head><body= ><div class=3D"Section_1"><div style=3D"clear:both"><p style=3D"margin-bott= om:0pt; line-height:108%; font-size:12pt"><span style=3D"height:0pt; displa= y:block; position:absolute; z-index:-65537"><img src=3D"data:image/jpeg;bas= e64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8= SEhEPERETFhwXExQaFRERGCEYGh0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh= 4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCARfA= zMDASIAAhEBAxEB/8QAHQABAQACAwEBAQAAAAAAAAAAAAECCAUGBwMECf/EAFQQAQABAwIDAwUM= BAkJBgcAAAABAgMEBREGByESFzETQVFVkQgUFSJUVmFxkpTR0jeBobIWIzI2UnR1scEkMzRCYnK= Cs+EYQ0RGZKIlJzU4ZZPi/8QAGwEBAQADAQEBAAAAAAAAAAAAAAECAwQFBgf/xAA0EQEAAQQBBA= EDAAcIAwAAAAAAAQIDBBFSBRIUITETQVEiMjRhcYGRFSU1QqGxwdEz4fD/2gAMAwEAAhEDEQA/A= OgSiyj9Lh8VAAAAgAC/YAFgAFSUWUEkAFgRUQnX3BaKK65imimqqfREPt7zzNv9Ev8A/wCuUmqI= n3LKKZn7PgPpdsXrMRVes3bcT03qoml89pWKok1P9BJVJVigAEosoACRv5xY+N/hUlUkVAAAASU= WUUAECUWUIAAkEnwVJ8AQBQARUk+slaaZqqimPGVhJn7vtiWvKV7zHxYfvYWqIt0RTH62aw47le= 5AFYgCSqSiyiAAASEiwgAgAMgAAAIABUqQnxGMs49ACMkY1SynpDCrqwrlsphEmF8Dfdg2bQXYi= OqBEbQLKMoY7AElYNkUkVE2UNG2IqAPldneX0rnal8ZY1SsQgDWy2Sikml2i0RvP0I+tunanqtM= blJn0zgNht7YYPvKLKOmHPAAAAgAC/YA8+wsB5t37NG0vUNY1C3gaZiXcrIuTtTRRH7foh7Hw37= njWsvGi9rOrWMCuqneLdqiblVM+aJ8I9m7lyMyzY/8lWm+1j3Lv6kPD58XeuEuVfFPEvDWTruDj= xTYtUzVZoriYqyNvHsO2anyZ1XhLV8TVsqzGuaLYuxVlW7E7XexHnmmfN9Utj+F8/SNS0XGyNFu= WqsPsRFumiNuxER/JmPNMeGzys7q/ZTE2ff7/8Ah3YvT+6qfq+mhuTYu41+uxft1W7tuqaaqao2= mJjzPm2q548psfiTHua5oVqm1q1Eb124jam/H+FTVvLxsjEybmNlWa7N63VNNdFcbTEx5no4WdR= l0bj5+8OTJxqrFWp+HxZ49mvIybdi3G9dyuKKY9MzO0MHYuWePRlcfaNZuRvRVlU7x9XX/B13a+= yiao/DTRTFVcRLaDlPyv0LhjQce9m4OPmapdtxXeu37cVzbmY37NO/ht4dHKZfGvLnFyK8e9q2j= U3Lc9mYiqidvofTnNn5Gm8tdYyMauaLnkJoiqnpMdrp/i0lqqmqqaqp7Uz1mfTL5XBw6s+arldU= vbyMiMXVFNLY3nXxHwPrUcM2MDO07JtUavbryqbU0z/F7TE77eZ1/n7HLmOHMP8AgzbwaNQm/O0= 4tO3xem/a26fVu8u5eU01cdaLFURMTnWomJjff40Nk/dK6VTmcH4OFh49qm9fzrdunaiI6zP0Ou= 5RTh3rVvcz8/dpoqnJt11ahqfTE1TEREzM+HTxfSvGyKYmqqzciIjeZmmejczQeGuGOXPCPl/g+= b9VmiJvXaLHlLt2r6odf1bmrwzVpmTR/BXXqZm1VHaq0yIiOn1tlPWKq6tW7e4/i1z0+mmN11al= qlTj36qYqps3Ko9MU+KXLN23G9dqunfw7VOzdLlNRhRyq0bMu4trsxhzcqmbcb7bzL5cGcecE8Z= 593S9MtU13qbc1VUXceI7VPhLGet1z3TFv1H7/wD0y/s6mdR3fLS4opqrnaimZn0R1bCcUcq9Kz= eeWLpuLajH0vIxvfeRao6RG0zE0x6N9v73qPEWtcCcucDExM6zj4dFyJizaosxVMxEeP8Ah+tur= 6xT+jFunumY+Gunp8+++dRDTXT7Fu3n49WpWblOJ5Wny3xZ/k79fB7fzojln3f0fwetabTqPlrf= YnHpiK9uzO++3+Ll+YHMvgvijSMXSNGt1++7mfj1U9qxFMbRXEz1+p2T3R2Nj2uU9dyjHt01Ret= daaIifCXNcy67l21NdM0zvWt/wb6MemiiqKZiWp0Y2RMRMWLkxPhPZlhct3Lc7V0VUz9MNouDub= HCdHDWm4lvh/WMq5j4tq1crs4FNdM1U0xTPWJ9MO8cMavw3x1g5linQsmzbtxFNy3m4fkpmJ322= 9PnbrnV7lqZ77XqP3tdOBTXEdtXtpCO4c4+G8fhXmBqGkYkTGPTMXLVM/6tNXWI/VDp72bVyLtE= V0/EvPuUTRVNMgDYwSUWUUAECUWUIAAkEnwVJ8AQBQARUl+vCtbR5SY6+Z8LNublyIhyMREUxTE= dIWGi7Xr0oCw5gBVAElUlFlEAAAkJFhABAAZAAAAQJKsSWUADGVASqfMm2UJPikg0y369IjJNgh= OqwQpBMpKLKMtIAIsBISKgAgDGuemySyh8653n6GExLOeiNUsmAymEmA0QlSwTG/gKtuN53fUpj= anoNsRphsAFfeUWUdMOaAAABAAF+w/boemZes6tj6ZgWpu5ORXFFFMeeZfiexe5R0/HyuOcrMvU= 01XMXH/i4mPPVvvP7HNl3vo2aq4+0N+Na+rcin8vcOVfL/TOCNCt24tWrupV075OVMdap9EeiId= c5i87tE4az69N03H+FMu3O1yaa9qKJ9G/nl9/dH8YZfDPCNGLp1dVvK1CvyPlInbsUbTMz+zb9b= UqqqqqqaqpmapneZmfGXz/AE7AnNmb9+dw9fLypx4i1abU8tOdulcUahGk6vi0adlXelqrtb27n= 0dfCXL67ouocF6td4m4VsVX9Ouz29R0ynwmPPct+ifPMNPqKqqLkV0TNNVM7xMTtt9L3flpz1+D= OHb2BxPTdysjGtf5LdpjebvTpTV+LbmdLm1PfjxuPvDXj5sXP0bk+4+73/hzWtP1/SrWpabepu2= bkfrpnzxMeaXnHO/lRj8V4tzWNHt02NYt071UxHTIj0T/ALX0vGeBeaOo6Nx/kat2YtadqORvk4= lEbUUxPSJpjzS28xb9rJx7eRYriu1cpiqmqPPE+d5l6ze6ddiumfn/AO07bd23l0TS/n9mY1/Dy= ruLk26rV61VNNdFXjEw/dwln/BfE+nahvtFnIoqmfRG/X9j2X3VPBmPhZOPxXgWaLcZNXk8rsx4= 1+ar65jaP1PBZ/Y+rxr9OXYir8+nhXrc493X4b3cR6di8XcG5GDTdiLOoYv8Xcjr2e1T8Wf2xLV= /M5G8e2cq5btYVi9bpqmKa4uxtVHpfXlnzo1rhLT6NKzLEalg0f5uKqpiu3HoifQ75HukdP8Am/= lfbp/F4dnHzsKqabcbiXp13cbIiKq51LznTeX/ABLwhxbw7ma3iW7Fm9qVq1RVTX2t6t99v2Pf+= d+XZwcHQczImItWdWs11zPoiYeN8w+cuLxRd0OuzpF+xOmahRlzFdUfHiImJiOvj1fk5vc3bXG+= gWdKxdKuYvZuxcqruVxv08NtpbbmNlZNyiu5TrW9sKL1mxTVFM/htFr2oX9P0e5nYmBd1Cq3TFX= kbVW1VUfR47vLuKuaGXf4b1KxXwPrVmmvGuUzcrp6Ub0z1no885f8+dU0LSbWm6xgzqVuzTFNF7= tbXNo807+Ln9W90Vh5GnZNizoF+Lly1VTRNdcbRMx032nwcVHTL1uvU0d379uirMt10+qtPSeWN= U1ck9Mq2mN9Mqn9lTw73Kn6Rr39VqclwzzywtJ4Jx+H7mi37ly1jVWZuRVTtMzv18d/O8+5S8Z0= 8EcUfC9zDqyrdVuq3VRTO0xv54dePg36bV6mafdXw57mTbm5bmJ9Q2ezMuzY54YmPdmIrv6VMUT= M+eKqun7XQfdQcF8Sa/q2l6homn5OoW7dqq3XRZo7U0TMxPh6OjzXmPzQyeIeMNP4i0ixd069g2= 6aaJmqJqmYqmfN026u96N7pC5Rh0UaroM3MiIiKq7FcbVfT1lqt4OVj1UXaI3MfZsrybN6KrdU6= h5fpnBXFmiaxp2oatw/qGFi05lqmq7etTFMTNUbRu2T5+49GXy5x8a5O1F3MsUVfVO8PKOYXPLF= 4m0CnTsfRb9m7Rk2r8VV1R2Z7FUVbdJ8+z8vMvnTZ4q4To0bE0m9i3qb1u55WqqNo7MT1jafS6L= trLybluuunUxMtdquxZpqppq22CzIwOBOEaZ0nQ7uTbxqKLdNjEt/Hr8I3mf27sOA+Lb/ABPcy6= L3D+oaV73ppmJyY28p2t/DpHht+14xwx7om/iaTZxtY0evJyLVEUTetVx8fbpvMTPi5SPdJadH/= l7K+3T+Lzq+m5Ebiqjc/nbspy7MamKtPPPdQ/pdzd/k1j9yHl7tfNfiu1xpxlf16zi141Fy1bo8= nXMTMdmnbzOqPqcK3VbsU01fMQ8O/VFVyZgAdTSkosooAIEosoQABIJPgqT4AgCgePgP0Ydrt1d= qfCEKp7Y3L9GNb8nRHpnxfVFVxTO52ALCACgAkqkosogAAEhIsIAIADIAABJCCUBGQAGyfBh4sq= p8zFrqbKYAGGmzYAaXYAyY/KSjKYSYFQBJZQEhKKgAxSekPnM79Wdc+ZgxqlspSUWUYKEwBKpsz= tx55Y7bzD6xG0bMqYSqRJVJZtYAMn3lFlHRDngAAAQAPoFIiZnaImZew8p9F4t4FvYvHGTp0zo9= 7e1kW4mfKxbnb+Mmnbwj63U+TGRwrj8bYtziujfFidrNVU/xdNzzTX9G/wD1bnU04+RiRRTTbuW= LlEbRERNNVMx/ds8Dq+dVamLU0+p+f3vV6di01x379w6TzJ4U0rmZwbb96ZdE3Ijy+Dk09ae1t4= T9ExMx9Hj9DUPiPRdS4f1e/peq49VjJs1bVU1U9JjzVRPniW1ebhahy31C7qWkWbmXwvfr7WXh0= 7zOHM/95bj+j6Y8HAe6Iy+CNX4DxtVv5Fq5n3bfa0y9YmO3X/sz/s7+Po6+Dj6Zl12K4tx+lRV/= o6s2xTcjvmdVQ1hlFnx+pPP+p9X/AAeDMPthWbmTmWbFqiaq7lcU0xHjMzLfHhPDvadwzpuDf/z= uPi27df1xTEPBPc5csMi7mWeLtbsTbx6PjYdmuP5c/wBOY9HobH/rfI9ay6b1yKKfen0HTceq3R= NVXzLzL3TFNqeVWZN2Ina9bmn692oHn33bH+604ltU6dhcMWbkTduVeXv0x5oifi7/AK4lrhPj4= PV6JbmjH3P3lwdSriq96er8oeUdvjvQL2p3NZqwpt35t9iLHb36b779qHdf+zZj/Oi590//ALc3= 7kr+YOZP/rJ/dh1Hm1za4z4e4+1HSdMzrVvFsV7UU1WaJ2j65jdw13su9l12rNWtOum1Yt2aa66= X5+Kfc86rg4FzJ0XWKM+5bp38jcs+Tmr6p3neXmPBnBuq8UcUVcO4nk8fMoprqqi/M0xT2fGPBt= JyK49v8c8N3ruoW6Kc/EueTvTR0pr36xMR9TqWrcN5OL7oyi5oebGmXM7Tq79V2m1TVHa6xMbTE= x4RBZ6jftzXauz+lEepSvEtV9tdHxLxLmRwFq/AmThWNWvY1yrLoqro8jVMxEUzETvvH0uoy9t9= 0jo3ENfEPDuBmalXq+VkW7lOPEWaaJj41PTamI3/AOj9mje5z1C/p9i9qWtW8fJrmma7VFG/Zp3= 6xv6dnpWeo0U2Ka79Ubn8OOvErquzTbj4eCu8ct+Weucd4OVl6TkYlujGuxari9XMTvMb9No9D1= j/ALN2B84cmY/3KfwXkRw3rmFXxPpmj8Q1YVrC1ObFX+T0V+U7MbRVPapnbpDVkdVoqtzNir3H5= bLODVFcfUj1LxrG4KyKOZtngjPyaLd+rLoxrl63Happ3iJ3iOm/i7Pzj5TWuAeH8XVLesVZs38m= LE0TY7G29NVW++8/0XoHBvL7I1TnHq/EepazN7I0nUrcz2bcUzeqiimeu0bRG0xHR6RzY4Gs8fa= FjaZfzbmJTYyYvxVRETM7U1U7df8Aecd7qdVN63qr1ERtvowt26vXv7NIt+sq9l4d5MYuqcecQc= OVavet29K8l2bkUx2q+3TFXo+l2ufc3YG07cQ5O/8AuU/g9OrquNTOpqcdODdneoa541vy2Tbs9= rszXXFO/o3nbf6XsHHfJS1w3wRd4jo16q/Vbt01+RnG233jfbftOA5icsdX4D1TBv371GZg3sim= m3fopmNp7XSmY9Oz3/nf+hPK/q1v91zZedM3LU2avUy6LGLHbXFce4acgPceYAAkosooAIEosoQ= ABIJPgqT4AgHnUZUUzXVER53JW6It0RTH63wwrUxHbq/U/SOW9X3TpABrAFgAFABJVJRZRAAAJC= RYQAQAGQAAALCSjIRWJKywqlJkphAGtugAF2ACSAGlgAFJTZQWJYkstmJpdiT0XZhX6GMkQwnxF= 2NmHy2IipKaRAZURvJpVojzsl2RshrkSVSVkgARX3lFlHRDRAAAAgAC/Y3nfd7XyK5u3dEu2eHe= I79VzTap7NjIq6zYn0T/ALP9363ihH0dHNlYtGTb7K26xeqtVd1L+gkVWMrHiqmq3esXaekxMVU= 1RP8AfDwHnFyUycjJuaxwjT5SKt6rmDNW20+eaN+n6ujrfI/m5d4aqt6Hr9dd/Sap2tXZnerHn/= Gn6PM2e07NxNRw7eZhZFF+xdpiqiuid4mHyNdOR0y7uPj/AEl9BRVazLftpRY5eca38unGo4dzZ= uTPZ6xERv8AXM7PZOVnImnCv2dV4uqtXrlE9ujDo600z/tT5/qe90x06r02bMjrORdp7Y9MbXTr= Vuru+WFq3btWqbVummiimNqaYjpEOu8wuL9M4O4evalnXafKRTMWLO/xrtfmiH4eY3MTQODMKa8= y/TezKqZ8ljW6t6qp+n0Q1K4+4w1bjLWq9R1O78XfazZpn4lqPREMen9Mrya+6r1T/uuVmUWY1H= uX4OKdczuItdytX1C5Nd/Ir3/3Y80R+pxXnVPS+zopiimKYj4fOzVNU7ltP7kv+YOZ/XJ/dh4r7= oD9K2sf78f3PZfcoZFi1wJmUXL9u3VOZM7VVRE+EO+avwXwJq+oXNQ1LTcDIyrs713Kr07zP6qn= ynlRi51dcxuHu/R+vjU07ea+5Cwsm3oWrZtyzMWL1+mm3XMfyto67T6N3atTu26vdGaVaprqmuN= FuTMb9I+NV+12jUNa4T4J0DarIxMHDs0z2LNuqOv0RHnmXh3Kniqrin3QN/W79UWrNeNdos01Vb= RTRERtHX2/raKorya7mRrUabN02aabcTuXqnFuFYy+dHCld6mJnHwsm7b3/pdqiP7pl1b3T/GGu= 8O4+l4eh5t/Aqv1TXcv2atqpj+jv+o53cV2uGeZnCGsU3KbmPbtX6L8UVRPxJmmP+v6nddc0/gf= mVoWPXlZGPl2Int2rtF2Ka6Jnxj/AKMbcfS+lduU7p1/zLKufqd9FE6lwXuadb1fXuCcjK1jUcj= Pv05VVMXL1c1TEbR0+pnyN/8Ar3Hcf/nK/wDF27gPhfROE9Ir0/Q6qqseq5NczVXFXX64dM5JX7= NrX+Oou3rduZ1yvbtVRHpab1dNyq5VRHqWdFM0xREvN72o5+H7qe9i4uXes2cnVbVF+iiram5T2= Kek+nxl3/3U+rano/BWnX9Lzr+Hdr1CmiqqzX2Zmnydc7fsh5LxdquJpPulb+rZFyJxsbU7d2uq= J3jaKad5bE8b6BwvzA0HHxNRzoqxqbkZFquxepid9pjfrv5pl35Orddi5VHrUbc1rddNymJ97a/= 8kOFOJ+NtR1DWZ4jzdOs9qm3kZNFUzcvVRETFP1RGz2fSOWepYGXj5NXHmtX67VUVTFXhX9Exu4= /lDl8N8LcQ8Q8D4ubFEY2XRcx5vXI3u01WqJnrG0TO+7lMvlzw9la1Vqs8T61Rcqu+V8nRqMRbi= d99ttvBpysqq5cn3qn7emyxappojXufv7Ye6Ms26+Wt67XTvVay8aaJ9G96iGHO/wDQnlf1a3+6= vuhcrFucscqm3kWqp99YvSK4n/v6Hw52ZOPXyWyqKL9qqv3tb2piuJn+S58aJ3b3+f8AptuTH6f= 8Gn4D7t80AAkosooAIEosoQABIJPgqT4Aj649ublyI26Q+cdZ29jkMa35O39M+KtdyrUPrHSNo8= IJVJHHvcoAMgBYABQASVSUWUQAACQkWEAEABkAAABAAjNKmMwsjCWUMdkZ7JsisRdiRZQBSABFA= CFAEWBJVKvAVKvBgsyjXMs0mEZSiMmMiykwIM6Y2hjRT16voyphJElUlkxRJUBA2EV95RZR0Q0Q= AAAIAAv2ABYHaOCuPeJuEbn/AMI1G5TYmd6rFfxrc/8ADPTf6XVxruW6LlPbVG4bKa6qZ3EvcLH= ujdeosxTe0HAu3I8avKVRv+pwfE3PfjPVrNVnDnH0uiqNp8hG9X6qp6w8qnxRyUdLxaJ7u1vqzL= 1Uamp9s3KyM3Krycu/cv3q53qruVTVVM/XL4g7oiIj05dzM7kSfFUlRnbvXrdMxbu10bzvMRVsz= 99ZXyi79uXxGPbH4Zd9UMrlddyZmuqqqfTVO5brrt1dqiqaZ223pliLqE3Mv36PbjUNbwcXLvVz= au36LdczV1imaoierZmnkly7p2mM27TPjvGX/wBWq8TMTExMxMTvEvvObm7/AOmZHp/zk/i4cvE= uXpjsr7YdWPkU2991O5blafc4P5Y8JX7VvVLNGPRVVd2uX+3crqmPCI3mZ8PM1A4g1i/qmv6jqd= FVyz78yrl+aIqnp2qpnb9W+z8F7Iv3Y2u3rlcR1iK65nZ8mGF06Meqaqp3MssjLm9EREaiFrqqr= maqqpmZ6zM9d1t3blure3XVRP0TsxR6HbTMamPhybmGVVddVfbqrma/HeZ67s6cnIppimm9ciI8= I7XR8gmIn5haZmPUS+lzIv3KezXdrqp9E1dEuXr1dHYru11UxMdKp3YJPgvbETs7qvykgKnr7AA= JKLKKACBKLKEAASCT4KtFFVdcUx13CZ17fbCtdqrtz4Q/cxooiiiKI8zJXHcq7pElUGtABkALAA= KACSqSiyiAAASEiwgAgAMgAAAIElWKSygAYaZwAGlRJUNLLEXZNl0gAml2AIuwBJUY1z02ZT4Pn= V47pMsqYQBgzJRZRFgTbdWVMLEbSSI2hQZ60mxJVJUQAAAH2lHJzoeq/JZ+3T+KfAWq/JZ+3T+L= XGZY5QkY13i40cl8Bap8ln7dP4nwFqvyWft0/ieZY5QeNd4uNHJfAWqfJf8A30/ifAWqfJf/AH0= /inmWOUL413i40cl8Bap8ln7dP4nwHqnyWft0/ivmWOUL413i40cl8Bar8ln7dP4nwFqnyWft0/= ieZY5QRj3eLjRyXwFqnyWft0/ifAeqfJZ+3T+J5ljlDLx7vFxko5OdC1T5JP26fxPgLVPkk/bp/= E8yxyhjOPd4uMHJ/AWqfJJ+3T+J8Bap8k/99P4nmWOSxj3eLjElyk6FqvySft0/inwDqvySft0/= ieZY5QvjXOLjByfwDqvySft0/ifAOq/JJ+3T+KeZY5QePc4uMHJ/AOq/JJ+3T+J8A6r8kn7dP4n= mWOUHj3eMuMSXKfAOq/JJ+3T+KToOq7/6JP26fxPMscoPGu8XFjlPgDVvkk/bp/E+ANW+ST9un8= V8yxyg8e5xcXKOUnQdW+ST9un8U+ANW+ST9un8TzLHKDx7vFxg5P4A1b5JP26fxPgDVvkk/bp/E= 8yxygjHucXGJLlPgDVvkk/bp/EnQNW+ST9un8TzLHKF8e5xcUOU+ANX+Rz9un8T4A1f5HP26fxP= MscoPHucXFjlPgDV/kc/bp/E+ANX+Rz9un8TzLHKDx7n4cVKOV/g/q8/+Dn7dP4n8HtY+Rz9un8= TzLHKDx7nFxQ5X+D2sfI5+3T+J/B7WPkc/bp/E8yxyg8e5xcUjlv4Pav8in7dP4p/B7V/kc/bp/= E8yxyg8e5xcUOV/g9q+/8Aoc/bp/FynD/L3jDX67tOk6LcyZtRHbmLtFMRv9MzCTm2OUHj3OLqz= 92Fa7NPbq8Z8HdrXJfmR5SO3w1ciP6zZ/O/b3Qcw46fwcufeLX5kjPxucNV3Hva9Uy6HI75PKDm= JP8A5cufebX507oOYvzcufebP5jz8bnDn8S/r9WXREd87oOYvzcr+82vzHdBzF+blf3mz+c8/G5= weJf4y6EO+dz/ADF+blf3mz+c7n+Yvzcr+82fznn43OF8S9xl0Md87n+Yvzcr+82fznc/zF+blz= 7zZ/OsZ+Nzg8O/xl0Md87n+YvzcufebP5zuf5i/Nyv7zZ/Ov8AaGNzg8S/xl0Md87n+Yvzcr+82= fznc/zF+blz7zZ/Onn43OFjEvcZdClHfZ5P8xfm5c+82fznc/zG+blf3mz+dPPxucHiXuMuhDvv= c/zG+blf3mz+c7n+Y3zcufebP5zz8bnC+Je4y6EO+9z/ADG+bdz7zZ/Odz/Mb5t3PvNn855+Nzg= 8S9xl0Ed9nk9zG+bdf3mz+dO57mN827n3mz+c8/G5weJe4y6GO+dz3Mb5t3PvNn869z3Mb5t3Pv= Nn855+NzhfFvcZdCHfO57mN827n3mz+de57mN827n3mz+c8/G5weLe4y6EO+9z3Mb5t3PvNn86V= cn+Y0R14bufebP5zz8bnB4l7jLoUo753P8AMb5uXPvNn853P8xvm5X95s/nPPxucM4xbvGXQpWH= e55Qcxfm5c+82fzndBzF+blf3mz+dPOx+cL4t3jLog753Qcxfm5X95s/nO6DmL83Ln3mz+dPOxu= cL413jLoWw753Qcxfm5X95s/nJ5QcxPm5X95s/nXzsfnB413jLoY733P8xfm5c+82fzndBzF+bl= z7zZ/OnnY3ODxrvF0PZNnfe6DmL83K/vNn853Qcxfm5X95s/nPOx+cL413jLoQ75PKDmL83Ln3m= z+dO6DmJ83bn3mz+c87Hn/PB413jLog733Q8xPm7c+82fzpVyi5h0xvPDte39ZtfmSc3H5QsY13= i6HVLGfB3meU3MH5vV/eLX5k7peYPzer+8WvzMZy7HKGcY9zi6MO8d03MH5vV/eLX5jum5gfN6v= 7xa/Mnl2OUMvoXOMujju/dNzA+b1f3i1+Ze6bmB836/vFr8x5djlB9C5xdGiOrOno71HKHmHMb/= wdr6/+otfmXuh5h/Ny595s/nZRmY8f5oYzYucZdFTZ3vuh5ifNy595s/nO6LmH83a/vNn86+Zj8= oTx7vGXREl3zui5h/N2v7za/OxnlFzE+btf3mz+ZPMx+UL49zi6IO990PMT5u1/ebX5jui5ifNy= v7za/MeZj8oXx7nF0Qd77ouYnzcr+82vzB5ljlB49zi5UB8G+oAAAAADcgAbkADcgAbkAOvok3I= AG5AA3IAG5AA3Ie09oG5AA3IAG5AA3IAG5AAAAAA3IAA+uLYu5OTaxrNM13LtcUURHnmZ6NmOXn= Dtrhvhyxh9mn3zXHlMiuI/lVT/ANNnnPIrhWMnIniPMtb27UzTjRVHSavCZ/V1e0Rvuou0G0AAb= AAABsbAAABsbAAAAAAAAAAAAAAAA+Vyd5+hnXO0PmDEZJsCbQxmGQDGFWU2BNkZAMRZhATZGQDE= mF2AYTGz8eRX2qto8IfryKuzR08ZfimkGExEsZjqzmEBgSymEmA0w2fTHt9qvfzQx8+3nfus0RR= Rt6fEGW3RJZTCAxGUxCGxJhFDYxmEZ7JJsYi7BsarAMQAAAAABnatXbszFq3XcmmJmezTM7RHnX= yN7yPlvJV+S37Pb7M9nf0buW4Jz40/iPGrrn+JvT73u+iaa/iz+yXffemFcuVcC+VtdmLfvqLu8= RHlYqnpv/u9kHl13GybVFNd3Hu0U1fyZqomIn6icXJi9Fmce95SY3ijsT2pj6npeHl4fFGpatgX= LlFGLiZFOViRM9It2527Mf8ADMrl6liZmkZPF1qq3RlYtq5g0UxP+tMz2KtvoiafYo8z965Plos= +973lZjeKOxPamPqYeSu9iqvyVfYonaqrsztTP0vS9Nz7FrRMTjC7XRXlWbHvKaap6zXvExVt/u= xW/PxTptMY+No+kXLNVzWsj351riIimrrFMz5tpB59j42Rk1TTj2Lt6qOsxbomqf2P02sO3Tj5f= vujMtX7VMTTRFjenrMR8eZmOzHX0S7do2PqFHCGTp2i1xTq9rMqjKps1fxtVvaOz2Z8dt+14Mpp= 1S1w5xFa1q9TXlRhWY2mae3H8bb2iraN9/rB0mzg5t615W1h5Fy3H+vTamY9sJYxMq/G9jGvXY3= 2+Jbmrr6Oj1f4t63pWRpFrVLmHbs0x/kuTbt2Kaoj43biaJ8+/jLgtR1ScbhPWb+lTTiU39Vopp= i1cirs0zTXPxao+qOsA6Fdx79q75G5ZuUXfDsVUzE7/U/Tb0+/byLUZ2Lm2LVdW01RYmZ2+iJ23= l3+xk4tzUdBy825Z9+XtKuRbvXtpjy0VV025q+npT4vwYtjizG1GxVrN+5TjVZVPS/VE9qevWnf= rt9WwOmVYV27mXrWFYyr9NFcxH8TPb2jwmYjfafofKcfIpv+QqsXIvb7eT7M9rf6vF6DgYN2/l6= 7k42RqNyv3/VTVj4FdNFzbtT8aapiejk9R8hb4ooixXbt6je0mPe1y/VTVPlu1XHWdojtdIjfbz= IOj6ToXb0bWcrPxsmzdxMaLlntUzRvPbpp6xMdeky4vPxbNF2zbw/fdya6ImYu2exPanximImd4= +l3vEx+I8bgjiKNduXIoqx6fJ0ZFW9yZ8pR1jfrs+tm7Zp4hxYi7Zt5lWk004ldzaaabvY+L49N= 99tt1Hnd3AzrNM1XcLJtxEbzNVqqNo9Pg5TB4evapft2dKpya5jGm9dm/YmmmJijtTFMxvvvt08= N+jteBj8T2OF+Ivhuq95GcSezF+d65ntR1pmfM/TpeXdt69pWPZyq6PK6LVTTTTcmIqrmxPZj69= 9tgeb04GdVfrsU4eRVdo/lURamZj642cvwpptrIr1S3nY89uxh1XKaa42mmqKqY8P1uxaDpWqe8= My9lX9YuZcZXYvY2Lcim9G0RMVVVzEzt18Poclq1NujiHUaon41eiUTVVNUVTVV8XfeYiImfp2N= DyyImZimImZ9EPvewc2zb8rew8i3R/SrtTEe2Ydl4Q06NN1nSdR1ScWnGy4qmxNdUVRFUTMR2o8= 3WHOada1/FydUv8TXqqtLqtVxV5aqJouT/q+T/wCgPPacLMqteVpxL9VvbtduLczG3p3ZU6fn1W= ou04WTVbnwqi1VtP69nbdW1K7Y0XhfFnJrow6rc1ZFNFW3ap8pMTE7ebbzObt2OKLvGljKwb01a= TM0+Srpqj3vFvbw28N/2oPMK6aqK5orpmmqmdpiY2mJYuV4w/nVqnX/AMVc/elxQAAAAAADl+Ed= Fv6/r2Pp1imfj1b3Ko/1afPMuI2326b+hsByZ4YjRtDjUMq3tm5kRVPajaaKPNCju2kYGPpmnWc= HFtxRZs0RRTH1ed+ogUAAAAAAAAAAAAAAAAAAAAAAAAAY1z02BKtqpYKoMRlMQxATZQGIylNgTZ= JhQERdjYE2TzsgGKTttvPmZbPjfr2jswD4XKu1Xv5mDI2BhMMZpfTZAfKY2R9Zphj2O1O0Azxrf= aq7c+EP0lFMU0xEKCJK7EgmyMkBJhjMMgGJKzCAbAA1UAYgAAAAAAu8oAAAebbzLvPpQAABd59K= AC7ybygCxMx5zdAF3n6Zh+3Rr+n2c2KtTxasrHmJiqmivs1U7x4x9MPwgOyV6vo2Do+bh6PYzar= +ZEUXb2T2Y7NH9GIiZ+j2OtgC7z6ZTzbAATIAyoqiLlM109qmJiZp38Y+t2fE1PhXEz7epY+BqM= X7VMTTj1TT5Lt+nfffb9TqwD7Z2TdzMy9lXp3uXq5rr+uZ3l8QAAAAAB+jT8S9nZtnDx6Jru3q4= ppiPpB2/lDwvOvcQU5ORb3wcSqK7noqqjrFP9zYiimKaYpiIiIjaHB8E6BY4d4fx9PtU73Ip7V6= vz1Vz1mXOsgAAAAAAAAAAAAAAAAAAAAAAAAAAYyylAY7JMMtk2BiLsAmyKs9QYizCAmwoDEXZAJ= hFAY1T2aZl+Wqe1VMvrfneezD5TAMdkmGR4gwJhkkgx2fbHo6dqWFumaqtn6YjaNgSYYzDMBgMp= hiBMIoCIuwDEZJMAgbSA8f7nNb9YYnsk7nNb9YYnsl7nsbA8M7nNb9YYnsk7nNb9YYnsl7nsbA8= M7nNb9YYnsk7nNb9YYnsl7nsbA8M7nNb9YYnsk7nNb9YYnsl7nsbA8M7nNb9YYnsk7nNb9YYnsl= 7nsbA8M7nNb9YYnsk7nNb9YYnsl7nsbA8M7nNb9YYnsk7nNb9YYnsl7nsbA8M7nNb9YYnsk7nNb= 9YYnsl7nsbA8M7nNb9YYnsk7nNb9YYnsl7nsbA8M7nNb9YYnsk7nNb9YYnsl7nsbA8M7nNb9YYn= sk7nNb9YYnsl7nsbA8M7nNb9YYnsk7nNb9YYnsl7nsbA8M7nNb9YYnsk7nNb9YYnsl7nsbA8M7n= Nb9YYnsk7nNb9YYnsl7nsbA8M7nNb9YYnsk7nNb9YYnsl7nsbA8M7nNb9YYnsk7nNb9YYnsl7ns= bA8M7nNb9YYnsk7nNb9YYnsl7nsbA8M7nNb9YYnsk7nNb9YYnsl7nsbA8M7nNb9YYnsk7nNb9YY= nsl7nsbA8M7m9b9YYnsl2vlty5r4e1SvUdSu2si9RG1jsx0o38Z+v8XpGxsAAAAAAAAAAAAAAAA= AAAAAAAAAAABMAgAAAJsksgTbCYJhlMIKgTCAbIyTbcECY2ASYY1z2aZZvhdmapB8/HxRlt0TYG= MwjNPEGBtv5mUwyt071byDO1R2ad/OymFAYjLZNgQ2gAYzCMyY3BgLMSgJsKAx3F2AciAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAkwoCCpMAAAACaS= YRkCsJhGe3oQGJKzCT0gGFydofNlVO89WOwJMMdpZoDDZGcwm2wMfHo+1NO0bedhap876gxmBkk= wCAAbJMKCMRlMJsKhMQAMZhGaTAMRdpAfvAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAATZQEF2SYAAARQRNnzuTt0fSqdofGeorFNmUwAxSWWxMA= wNt2UsqI2A22joKAgTACGygMRSYBAANkUEYi7AqBuA/aAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAmygILsxr6QDCud+jHZQGJMLsAxFNgS= I3VYhQYi7AITAAmwoCBMAIbKAxGW26TAIC0x2p2jzgm30SP000xERGwDIAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACYAYVdWUpMAwmEZpM= AxFmEBNiI6qyjbYGIsx6EAABJhGQDEXZNgCYAEFJgEABJfWzRtHalhRT2p28z9EdIAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJAkAR= JhGSBtEmGWyCsRlMJMAIAEwjI6SDEWY2QA23AEmEZEgxF2QBNlZ243ncGVqnan6ZZgAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABKLKAA= AAAAAmyMkESYTZlsgrEZbJMAHSUAJjZGW5MAxCYAElQE26vtRG0MLcb9X0AAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA2RQECYQFA= AAARQRjsMk2F2xmBlMIDEXZAVJgATYpiZnZkyop26gyiNoAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJgU2BAAAAAAEmFBG= IyTYVjMCgFMbyzSmNoUAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAkAQU2BAAAAABAiOooQACgAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAB= sAJIqTAmwAUiFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAADY2AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEAmTdwfGvE+m8I6LVq+rTdjGprponydHaneqdo6Py8I8c= 8M8VTVRo2o0Xr1NPaqsz0riPTMM4tVzT3RHprm9RFXbM+3Zt4O1DUbVuZ3GfD3HWsWsPVq7mNa1= HIiMe9TFVExFyqIj07R9EtgeS3GGbxtwfOrZ+PZs36MiuxXFreKZmmKZ3iJmf6TsyenXce3FyZj= UuPG6jbyLk24idw7xvC7uK4p1ixw/w9m6zlUTXaxLc1zTE7b+aI3+mZhq3pmpczuZuvZ1/Q9Qyb= dq3VNUURe8nRapmelO8R1nZwPQbc7m7XrhXhfmrw1VqWq6xrVFqxRg1xRcuZnbpormqnaZiY2jw= nq7dyH4j1TL4V1bUeKuI8TUIx8mIpv03KZotUdiJ2maYjz9QerwOlV80+Aqb1NqOJcGuqZiI7Ne= /X0Ms7mhwNhZl7EyuIMS3es1zbuUzV4VRO0wDuZu4Thnizh7iSi7Vouq4+Z5L/ADkW695p+txuq= cyOCNNybmNmcR4NF63V2arflImYkHbImN9l3eF8zuN9Ty+JuH73CHF+DiaZlWo8pTXdojys+Vmm= ZjemfRs9BzuZPBulZVen6lr2LazLG1N6iausVbdQdzHBcMcW8O8S+UjRNWxs2q3G9dNureafrc6= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAigPK/dRfouv/1i1+9DyT3K0/8AzNu/2dd/eoet+6i/Rdf/AKxa/eh5J7lb9Jt3+= zrv79D38Wf7trfN5cf3jQ6Dx9/PnX/7SyP+bU2P9yf+jTI/tK7+5ba4cffz61/+0sj/AJlTY/3J= /wCjTI/tK7+5bdnVf2Gn+Tl6T+31fzdm58WLuRyl161ZiZrmzRO0eiLlEz+yHl/uRtW02xi6xp2= RkWbOVN2m9EXKop7VMxEdN/HrEtgM/FsZuHew8mjylm9bm3XTPnpmNpeA677nfJjU7t/QNfixj1= zNVNuuiYqtx6N4nr+x8o+uesczcrFv8vtbt2MmxcqjFmdqK4mdt49DUuznZNnlLfwrVVVFjJ1mP= KxHSKtrUTEe2N3tPCHJLXNMyM6c/iGi5ayMKuxERFVW1UzTMTMTP0P3cOcj6LfAeo8N6zqNFV2/= lRkY+Rap38lVFMR4T4+APFOGMKJsYU3eXGdqEzXTPvuKsmKa438Yin4uzsXD3DGkcS8/dZ0XVLN= yvCnOyfi03JomNqqtusfU7jg8lOM8Cu1axOMIpx7VUdmiIqp6RPo3l2rg3lZn6NzRz+L8rVbV23= fvXblFumj40zXM+M+bxB4hgVXOE+P+KMPQ7l2xbx8DKpt/HmeztR0mZ8+ztHufuXHC/Gmi6hn67= 5XJv2r0URbovTR2InfrO0+fZ6FpvKK5a5l6nxDnZtnI07Ot3bddjs7VTFdMRMOqZ/ufNWx8+9Oh= 8TTaxa6t4pmKqaojzRO09frBwHPPh3S+FuM+E9I0i3XaxLViJoprrmqYmb9Uz1n6Zfg5gajwvqX= G+bZ0zgnJ1nN7UVXq4yb29yqKYiaoponpHh5nfMnkhrOVPD3vjXrVdWm0zTerqpmqat71VfTefR= L6cT8jdSucT39Y4c4gjCi/G9VNVMxVTPniJjxjoDzvkPdvYvO7BsUYN3S6LvlqbmJXNe9MRbqmK= Z7XXpMR4+ht3Hg8P5dcndc4e4/wuJtS1qxl+QmubkRE9qrtUVU/3y9wAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAeWe6i/= Rdf8A6xa/eh5J7lb9Jt3+zrv79D1r3UX6Lr/9YtfvQ8l9yt15nXf7Ou/vUPfxf8NrfN5f+I0Og8= ffz61/+0sj/mVNj/cn/o0yP7Su/uW2uHH38+tf/tLI/wCZU2P9yf05aZH9pXf3Lbs6r+w0/wAv9= nL0n9vq/m9d2jdqjrvGPMjVOZGo6HoWr5NdyMmuizZoppiIpjzR0bXQ1Y5df/crkf1m8+UfXPzZ= vHPNjgTWMWeIb+R2L29UWci3TNN2mNt9p2+mPB6JxfzK1yrV+FMjQM/TcfB1OxauX7ORcoiZmbm= 1URv16dY6Pxe68yMP4E0rFqronLm9NUU7/Gijbr+2YeT6hbvWsXl/Tf37U26pjf8AozlVTH7Ngb= eapxBo+kY1q9rGqYeDFdO+967FMT9W/mcZZ494Qy65x9O4n0fJy6qaptW6cqme1MRvt0nwa5abp= t3mfzmv6drWfet2KLc9mInfs0UbbUU+jxmXy1HhnC4S54WdDwK7lzHtUdqmbnjPatTIPUOAOY2r= X73Et3ijXdJt4uHERjVUXbe1FU1VRETt9UeLivc/8yLuVl6pY4t4lsUzVcojEpya6aJqmZmNqfD= fzOm8n+HMDii7xppuoeUizFNF6OxO09qm5XMJ7nzgfReKNQ1DJ1Wq9T8G3Ldy12K9vCZnr7AbF5= HMDgjGyLuPf4r0e1dt1TRXRVlUxNNUTtMTG7j+YHE2Pc5X65rXDerWL9dnGmq1fx7kVxTVvH6mu= 3GF3l/e4s1SjB0TW8+v3zcqu3LdzpNU1TM7RE+G+7iuBNSv4+l8Y6RaiacTJ0m5cqpu0fHiaK6e= z9X8qQbA+5r4j1niThHLyNazq8u7ayezRVVERMRtM7dIeqvFPcj/AMydQ/rf+EvatwUIAAAAAE3= 6+Kz4Ohc3eMK+HtOt4eBdinUMid4n+hRHn/uB30a2d43F3rWv2HeNxd61r9ibGyY1s7xuLvWtfs= O8bi71rX7DY2TGtneNxd61r9h3jcXeta/YbGyY1s7xuLvWtfsO8bi71rX7DY2TGtneNxd61r9h3= jcXeta/YbGyY1s7xuLvWtfsO8bi71rX7DY2TGtneNxd61r9h3jcXeta/YbGyY1s7xuLvWtfsO8b= i71rX7DY2TGtneNxd61r9h3jcXeta/YbGyY1s7xuLvWtfsO8bi71rX7DY2TGtneNxd61r9h3jcX= eta/YbGyY1s7xuLvWtfsO8bi71rX7DY2TGtneNxd61r9h3jcXeta/YbGyY1s7xuLvWtfsO8bi71= rX7DY2TGtneNxd61r9h3jcXeta/YbGyY1s7xuLvWtfsO8bi71rX7DY2TGtneNxd61r9h3jcXeta= /YbGyY1s7xuLvWtfsO8bi71rX7DY2TGtneNxd61r9h3jcXeta/YbGyY1s7xuLvWtfsO8bi71rX7= DY2TGtneNxd61r9h3jcXeta/YbGyY1s7xuLvWtfsO8bi71rX7DY2TGtneNxd61r9h3jcXeta/Yb= GyY1s7xuLvWtfsO8bi71rX7DY2TGtneNxd61r9h3jcXeta/YbGyY1s7xuLvWtfsO8bi71rX7DY2= TGtneNxd61r9h3jcXeta/YbGyY1s7xuLvWtfsO8bi71rX7DY2TGtneNxd61r9h3jcXeta/YbGyY= 1s7xuLvWtfsO8bi71rX7DY2TGtneNxd61r9h3jcXeta/YbGyY1s7xuLvWtfsO8bi71rX7DY2TGt= neNxd61r9h3jcXeta/YbGyY1s7xuLvWtfsO8bi71rX7DY2TGtneNxd61r9h3jcXeta/YbGyY1s7= xuLvWtfsO8bi71rX7DY2TGtneNxd61r9gbGyYCgAAnnVCR5X7qL9F1/8ArNn9+Hj3uYsvGwuZVy= 5lX7diidPu0xVXVtG/ao6Npdf0XTddwKsDVcS3lY1UxVNFcbxvHg65PK7gaY68PYn6qHqY2bbox= qrFUT7eRk4Ny5k03qfs1v434A4qyeK9WzsLTJzLGRnXrtuqxXFW9NVczE+Pol23lJxxnct9Oq0D= iPhzOtYt3IqvTfpp3miZimJ6bdfCPPD1zuq4MoqicbT8jDnfffGyrlrr/wAMw+lXL6zat3KMHXd= YtRXG3Zv5NWTRH/DcmYdFzqVu7ai1cjcf0/7c9vplyzc+rROp/q53hjibROJMOMrR9QtZNHnimf= jUz6Jhr7xPyW4+y+L9Q1fTbuDZov36rlquMyaK4ifqjo9Qs8rox9Tq1HC1KMHOpo/i8zEtRZqmd= 4nau3TEW6qZ+mHduH6tapxpsa1bs1X7c7RkWpjs3Y9PZ8Yn0vJu0UR+pO4evZrr1q5HtrzpHIXj= HUtTsXOJ9Ws+96Ko7dUX6r1cx6I38N3ceaHKrWNX4k4bvcO28SjTtKsW7VUXb3Zq2pr36Rt16ft= e1UrLS6GsHNjhXTNI44r1PQOMtN0nUuzTVexr96bdVu5t1mKojwnp02dQ4Qt6pqfNvBt5WpWdXz= LkzTOTZuduir+Lq8+0eDYvjLlFwpxTrt3WNRt5MZN2mIrmi7VETt9G79vBXLHhLhLUJz9JwKqcr= sdmLt25VXNPTrtvPTf6DY6lyW5ca9wrrPEGRrnvX3vqNEUWvI3e3P8AKqnr0jbpMOoaZyh5icP6= 7dq0PV8S3p12/E3q4vdiqu3v13jaeu0y9e5wcRX+HuDr9eDTdq1DL/yfEm3403KukVfqeSXNe43= wOHMvSNLsaxqV7IibVzIrsX7ldmumY7XYmYmYid+u/h02ddnDqvU929OK/m02au3W3yzeTfHml8= RZubwtquD5LKuVVRVXXFNUUVVTMRMTE77b+L58P8meO8e7rd7UKtNru5+nXcemqMjfe5VVRMb/A= BekdJYcAZXMXBz7tdWBxHN6MWum3XmW7k0WoimfNX8Wdp+NEeM+EdXO4nMDmRbzsjU6uDtRrpu2= KbU2qse/NEVUTO1dNMR07Xanf6oba+nV0zMRVE/zaaOpU1REzTMT/B3XkFwdq/BnDWXgazONN67= kdunyFztxtt6doek+Z03lLa1P+C3vvVrWZZzM3Ju5FdrI33t9uqaopiJ/kxG/g7jEdHDco7app/= D0LdffTFX5WAGLMAAAkH5NY1HG0rTb2fl1xRZs0zVM+n6Gr/FWs5Gva5kajkz1uVT2Kd+lNPmiH= f8AnnxVTl5UcOYdc+SsTFWTMeFVXjEfTt0eVpIAIAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAANwAGQAAAAAAAAAAAAAA/BrOlafrGHVhanh2srH= qneaLkdN4Z6VpuDpeJRiYGNbx7FHSmimOkP1yQRVOtbY9sb3o2jwmOhERttsoMtAAAAAADrPMfi= S3w1w5dyoqj31c/i8emfPVPn/VG8uyVTtEz6I3a4c1eI7uv8TXqY7VOLi1Tbs0+naf5X1ySOqZF= 65kX7l+7V2rlyqa66p88z4vmDEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAf/Z" width=3D"819" height=3D"1119" alt=3D"Imagen q= ue contiene Interfaz de usuario gr=C3=A1fica Descripci=C3=B3n gene= rada autom=C3=A1ticamente" style=3D"margin-top:-35.18pt; margin-left:-84pt;= position:absolute" /></span><span style=3D"height:0pt; display:block; posi= tion:absolute; z-index:-65536"><img src=3D"data:image/png;base64,iVBORw0KGg= oAAAANSUhEUgAAAUIAAABPCAYAAACeRMz2AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAAD= sQBlSsOGwAADrlJREFUeJztnX+sV/V5x9+nP8zcdrdm7Ui6uJqSlSY21YWNzKRxWdwMMcYY48o6= Qlc2M6KNq1kXBbuprdYOWjsnRarir4l2jNZag6jMabV0astgprMtiqICVVEQ2BW4XMTX/nieL/d= zP9/zPT++98KF8bwScr/n8+P5POccvs/3nM/nnOctBUEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBE= EQBEEQBEEQBNUAaxjNkJefCawFdgN7gB8AFwG3Zv17tgO+lNjdA3wq63tnNvaSBv6eAawD9gKDw= Ioe7SYBi4FngZ3Aw0ndSuAt9/mhfuxnfWYDz7i9fcAm4MqsTdWYTfpvopvL63wLgqABwADwj/7F= ehKY7OXPAi8B5wNnAdcDrwO3Z/1r23kdwAvAQNb/POBN4JyG/j5bEhDuyNqcC7zodT8F/hmY5nX= f8/JFwC3+eUUb+9lYU4DtwH7gH4BPA/+LBdIz6sZs2H9OiU9bmxyvIAgaApzjX67vJmXDwOKs3Q= XAbVlZbTsPhP+DXRHdWzL++oZ+Xgo8DJwGzMeunkj7A1OxQHwAuCnrPwm76gI4AZjmn/d4Xa39E= p8u8zaDeJDHrpDBrojrxqzs79uPAF9pcoyCIOiTHoHw58Bm4JM1fWvbeSB8AljggfNvs/qmgXB6= tv1j93tdUvYDL/thSf+5Xvd2UtbhC03sl9j8TGLjIS97Dgv6pzUYs67/ALDLj9vrwH8Cc5ocryA= IWtAjEH4CmysbAh4CTuvRt7ZdJxD651XAVuCkpH591n4psA2YUuN3Z35zkW9Pcz8AXsWu6LYB13= n9bV63P7HxjpfdVme/wo91STDb4vt3UdMxa/pfSzf7yeZqgyAYI2WBMKm7Ervi2w0sq7DRs10WC= AewucLVSX2jK8KSMbcBLybb85Ng8RngZv88jM29Le9sJ306QWl5nf0KP6ZhgTcNVDd4Xe2YVf29= firwN8A9wI6kTeXVehAELagKhEmbO7F5t1U1trrapYHQt8/FFgS+6tutAyG28DAIzEjKlvp+HEj= KdnnZMkZWqdOg1CFfBOqyX+HL57Grus8mAW0YmNFkzKr+JWNNAzZ6m66r2CAI+qQsEFJ+hbQau9= 0caNMuD4Re9hXssZbpbQMhtjq9DZiblS9Jgsx0L9vs2yuBK/zzfq8bSNpf1sD+WkYz7Ps2DKxN+= u71+m/VjVnXv8f+f87rF5fVB0FgvGscbEyje45um/89vo92oyiK4guSnpD09TZOAZMkfVXSjUVR= LMBWYr8DzJb0iCQ6fmVdN0q6S9JeSe/B5ig/4nV7JS2ts18Uxe8VozlO0p9Ieq+kd/t+rZS02e2= +1WDMuv5lPCZpSNLdjQ5aEAT1ANf4FcYTwMleNojN5c3D5qiuxm5nn8z61rYDFmIroSdnfQeADb= R4Jg54lG72JPU/8rJ12DzhELba2nk+coXXfxO4yT+vbGq/xJ9LsKmAPdgt7kXYPOkO4I/qxqzrj= 817DvlxWgCcCjwI3Nj0mAVBUAO93yxZ7l/CjdjE/E7sebaTsv6V7YCnM/v5IypnA89nZf+K3ZpO= y8qXUM4LSZvJwPexx0+GgZ8xeh5xAPh3Dzx7gPvb2O9xDBcBr/h4u7G3RP6qyZh1/YFZ2A/NPv/= 3PPDFKn+CIDgKwd+gCIIgCIIgCIIgCIIgCIIgCIIgCIIgCIIgCIIgCIIgCIIgOKwwktapwwNZ/e= 6k7s4G9s7AXgHb1Ycv465xcjjBUmVVvoUyBtvXAm/grwq27DsDeBx4pR97VW3LbPfrF/AYcHNbO= 0EwZhgRX8JfA5uc1c/GXle7Azihgb17sVft3q5rW2Fj3DRODhdYPsZdwDcm2pccLKv128D2I8l2= 3heTeNhK8u53EBw2sJTwQyRKb0ndScCPWtpbOg6BcMwaJ4cLLHXWIJ5f8UgEyww+7oFwrLbzvsA= n/bxfN34eBscqrdJwFUWxWtIaSX9Qcvvzd5Iqk7GWMNSyfRmDkm6QdBaZxskRyDxJ24qiuHSiHa= lgPM7JobA9qm9RFN+W9KCkWVhKtCDom37yEd4i6Vck/X1W/tGiKK5IC7BkqmuxBKL7sAwvM/t1t= hdFUcyV9H1J88iy3iS+dNLeP+7bz/j2L3z781gGnP/Csry8ic0/3uxzer/wW/meAk1V+A/H70t6= Oin7MrDepxqewLLKbAe+lrSZ4b7uwdKW3efllwI/8SviDX6l/m+YHsyupH/lOfCr/LXef4ek38r= 65vbOxlKX7XabPwZO7tG2p22vf8j36YAf72ub9nVWSvqApIvbnY0gGAf8i7kl2f4cWZZkLKXUJu= ApvyWc6//ZX8fnELF0VmO9NW6kcYItzuxIAuFJvh+dQPiyB8YtWF7E0z0wvoUlXD0X0z2GTFS9o= a8dOc40yO3xso1YvsFzfR/2esCZ5EHuSiz1fidH4fXAa/55K3Ce27ufZN614Tn4uY85w+t3MjIX= l9s7AUsDthrLgbjIA9X8vG0D29N9P6/B8lOuZfQiTc++2XHdBzzS9nwEwZgBLvcv4RW+/TDdOQE= XeJuzkrKFXtZRkxu3QOjblRonWDr+x5PtR/FA6NvPAekV2xJGq8pNSv1v6euN3ndeVr6D0botF3= q7JYwkws15ytu+AKzJ7B2cd607B8l5nJPU53Nxqb3rPHiVLoZlbWtte9lnsUA9xEiQbNQ3OX7/X= X7Ug6AZfaXqL4riaklbJP2pB8ADRVGsyZr9jv8dTspW+N8P9jNuA7/ulbRI0hyyxK4NGc62D0gq= Evuvj8G9TsAfyMpHjVkUxTd93PdL+pCkV4puTvXm+9VNOpdWdw5O8c/po1D5PF66/duShoqi2KJ= y0ra1trEruaslvShpdVLVxK+DZjQ+khPBMcxY/gM9IOljkq6SVKZq19HTOC8p+1X/e8hWcxtonO= T7/N5D5UvGJv9bNrH/ns4H7Db33bLg8KqkSWTzqjR/LrLuHAz657/o5U/Ga5J+HdN9qaPStl+1/= 6GkWUVR/LmkPU37ZvySpDcb+BME44/fJu4Anquofw17Zu6L2JzSU8DLSZv7sUWMWX360ErjBFuY= 2ILNF84HXvJbsJ3YnOEWbL5uitu4z/2b6f07t63fo+VKpdvbTXf6/a3YnN0c7FnNZ/y4TXKf3sD= m5S7DFhAewPRKpmILOE9n9jrHdGbdOcDm6Xa7D5dg84g/8X3c6/1Te1OxOcbNfkt7KnbLf13J2H= W2l2GLJPOw5wLXY48WDTTxy8eb6WX/1OZcBMG4gj0UvbCi/lPYpPew/wdex4h85jJGcz42Yd5ov= of+NE6u8S/bICaC/ggWSK9iZLEETDN4VWZ/UbZ9dxt/ffxHgZeysq3YSvUb2DzZT/HFD6+f7T7u= w/RZvp706wSGF73su/kxqToH3mcu9gOwH9M5eQz7MfhaD3sXev0wFhTvqRi7yvYn/JgPAU9iP2p= 78WdUq/omvi/HfoxrH+APgmMWjjCNE2wlehdwU1K2lWSxJGgGdnW8E7hhon0JgqAl2PN/u7DnE8= /AVrnXxFVNc7C7hy2UvOEUBMFRAvDX/kVO2TDRfh0tYAkYbp9oP4IgCIIgCIIgCIIgCIIgCIIgC= IIgCIIgOKbAMp2kHPA3AV4EvjyO4/StuTGR0ECDpWrfGKNeSD9jNtmHo/V8BMEhAXsHtCOKtAiY= jOXJ2+6vQV0w0T5OJIxRg4VDqBfSwocx68gEwf97GMkTtygp6yQLfXAC/JnGESTgQ6bB0tY/DqF= eSAsfxqQjEwRHI73SLbXheP97YBxsNQZTrbtVo9M3TTQHc+b16d+h1AtpypHgQxAcVvrOR4iljF= oiy3W3X9J3svourQ1GayP/h7frZHnZQbnuxYPJXOTNwPletVrSx2VCUmDZmHtqYJT430qjhBrNk= xJy/5aX7FtbvZBex6KTbSfXErkgtUEDjZTsGE3P+s/DNFKeAv7Fj/VbjNYaKT0HlGuszO91foLg= iIWRW+OUDXSnn++ltXE7Fvg2MaKZMYALwtOtkTHHv6gzgVnYPFr65d/ASNr6Sg2Mkn1ppVFCjea= Jl42SHsj8a6vp0fhY0FtL5PnMRqVGSr4PJT686v1fBRb7WBuATXXngBKNlSA4KmEkEC7GrsDe6Q= SxrF1PrQ3/suzCk6n69gVJ31T34hz/8t5LSUqtNNAkZV0aGBX700qjhHrNk56BsGTf2uqF9DwWV= GiJ0D1v2VMjpcc+5P1fItFJwRLFbsvGLD0HlGisBMGRQL+3xu+4hObjkv4MuDCr76m1URTFKknP= SrrE2/5uURQ3Jn0PzlEVRXGfTAt4sqQVWALPqb2corcGRi8OpUZJGa00PdT8WFRpieQ2qzRS6ny= WunVS3lFyzGrOQZnGShBMOGMVvTlf0nZJVzA6XX6d1sZSSaf75zwYjaIoioVFUZwi6dOyAFuqRU= K1BsZ4Ml6aJ231QqqORRstkVFjMFojZUwcxnMQBONK41VjbBV0im+eCEwqimIjcJWkhZJWAXdJu= kfSHZL+UtK1wImSfijpMvnVT1EU3wAuxnLKXZ4N9UFJ7/Ig+iFJZ0u6S6aaNyjpuKTtAUnvBy6R= dKYsSJ3iY35U0nHAQFEUg8rAhODfJ2kYmCIL3gfHLoriW8mV7gmYTsZuSR/2W9M/ll2d/Sawsyi= K9yX9ZxVFcVfm3weyfVsmaYaki/12/GeSPizp14C9kk5scSxukzRT0tXAL0taJ2m2pL35Pnn7j/= st+WZJX5K0VdKC7Ph39iH14RmZCh/YA9ZvyK4kjwdOlwlTlZ4DSR/xvrEqHRy90P1mydak7u68n= B5aG0mf64EHsrJc9+JWbOL/BWyFcz1wZtL+Fp8bW0uNBkbJ/vSjUVKleVKmwZL611bTo+2x6NIS= 6TFmT42Ukn1Ym21vSz6/nNUPUXEOKNFYCYIgmBAIjZQg6CKEsY8hsFv64yX9BqGREgTBsYbfFqe= ERkoQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBEEQBE= EQBEEQBEFwzPJ/mFD7KUN7Uq0AAAAASUVORK5CYII=3D" width=3D"322" height=3D"79" a= lt=3D"" style=3D"margin-top:-17.45pt; margin-left:239.7pt; position:absolut= e" /></span><span style=3D"font-family:'Times New Roman'; color:#ffffff">&#= xa0;</span></p><p class=3D"Header"><span> </span></p><p class=3D"Heade= r"><span> </span></p></div><p style=3D"line-height:115%; font-size:12p= t"><span style=3D"font-family:'Times New Roman'; font-weight:bold"> </= span></p><p style=3D"text-align:center; line-height:108%; font-size:18pt"><= a id=3D"_Hlk165901642"><span style=3D"font-family:'Times New Roman'; font-w= eight:bold; color:#050505">Aprendizaje basado en problemas para el proceso = de ense=C3=B1anza mediante la plataforma Chamilo</span></a></p><p style=3D"= text-align:center; line-height:108%; border-bottom:0.75pt solid #5b9bd5; pa= dding-bottom:1pt; font-size:14pt"><span style=3D"font-family:'Times New Rom= an'; font-weight:bold"> </span></p><p style=3D"text-align:center; line= -height:108%; font-size:14pt"><span style=3D"height:0pt; text-align:left; d= isplay:block; position:absolute; z-index:6"><img src=3D"data:image/jpeg;bas= e64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQE= BAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAAxA= DADASIAAhEBAxEB/8QAHQAAAQQDAQEAAAAAAAAAAAAACAAFBgcCAwkKBP/EADQQAAEFAAECBAQE= AwkAAAAAAAMBAgQFBgcAEQgSITEJExQiFUGhwTVRcRYyQmF0dbO04f/EABwBAAEEAwEAAAAAAAA= AAAAAAAgBAgMHAAQGBf/EADARAAICAQIEBAQFBQAAAAAAAAECAwQFBhEAEiFBBxQxURMicbEIFR= ZhgWJyssHh/9oADAMBAAIRAxEAPwD3P8bVdXbcf4m1tRfXWVplM9Y2E2TIOSRLmzaqLJlSTPUvd= xDHK8jl9E8zlRqInZEkd3ExWeqbG8ukrqyoqYh7CysJsokeJDhxRuMeQcxDtYMY2MVznKvt7d1V= Oqw4vuPl8bYEaOX7MbmWJ6r6I2mhNT09O3t+/f36oTxXw5fJOezfFYbmZTxdZdwnWEiK5FQ4Y0y= M2NGlj8zVNEWQVJLxI5vmJHC7zfZ5V5/UeqsDpDGjNajsT1MSt/F0J5q9Z7c6yZbJVMXWEdaI/E= mJs3IgVQEhSzbEKRxL5DNZFLlbT9KLIZgUb9mjTnsJTgsS06k1rklsy7JFGRCeZyQB2I3BAn80f= E646ydoeuwGNqpsEL3jDeamdOiuskY5zfnwKSI5ZyRX+ijLJIErkVEfHE5ey/Bw/wDFBwWmtwQN= 3h6kVcUg2ntspYWBZVcNzkYsiRSWD2yTRh+ZFI4BVKjUVGCKRUGvLf4l+ay2G8RsLE5WNGr6yi4= 0xwIsEasQzxolh8ydI8qIppMw3zTypCtVxTuer/VyJ1H/AIdOco9d4q8VnNJXR7WitqDfQ7KDKY= wgSANibxjXIi91YUJlEaOZnYgDsGYT2PG17efk8U6y6zGmk01QfDjKJi/N+at/mxVpUiNxZRL5Y= SAtz+WNYoSBGXXcODMofgDuXfwtt47yeNuq4vEQ+H1rX4wCYTTreH8UtXHzZNdNtjjV/O3rsIhR= bLHNCzuxtrUJ2rceufMrg9dR1ukzz6+2pbiKObXWESSUgJMcqI5r2K03oqL3aRjuzxkRzHojmqn= WrX0lLEyujlw4zY0uLR2siNIDIkDMA4IJyCKIjTI4ZBka1zHtVHNciKioqdc7/BXfWeD13NnAsu= wPOqMHolsswQ5Fe4NfNmSo0obfVWDYXyQJaCZ9qSDy39kc93c59hcq/JadquX7qC4aiovui18hP= b/P9f16svJV1oXJK6v8SPZJIZNti8M0aSwsR2JSRQR0+YEbewGaQzz6kwVLKTV/K22exUyNRWMi= VshQsyU7sSOQOaMTwO0RPUxGMt8xIFNcd2qswOKYrm/ZlM+339u1VFT19kT2/T+fUM5bbLKKj00= DsSVnJzZDmonm8glKEzCuaiL3YI4Bo/v7MI5yq1EcvUdxVq4eOyrPMqIzPUzfz9PLXx0X8/X/AM= X2XpgrOceLtDPLSVfIGPtrFZ7qV9ZFvq2TJJYuFZFdXJHZIc4pnCp7ZVG1H+ZK2enr9IdGVf4ha= Ph19pDNaWltvQbIV4Xp5GJQ8mNydGzDexl+NCRztTv1q85QMvOkbJzLzcwsDT+ZOAzFPKpAthKs= jrPXfcJZqzxvXs12IBC/FryypzbfKWB5WA24D3lvwN53xb+JyJztudi6v4+rMnmaluQoZDwaa3t= KtZpJsWznuY1tRUo4wx+eL8+ZPGpEG+I3yndIMp4M8t4avEHQc68f33fDVddq2T8TZHWRexJVnn= rGHAj5yW7v+KgNLMEHyJzxSIrHNKWXIY0j2E/Ny1Z9QSXVWZqZ/fzkQJWqIaPX0VOxRPExy+qIr= 1b2+1rUT0RtranOWEidKmaVL91PKNEsGfVjcOFKiiEeRGnOQxiDKIJglIJ7xOYMg3ETyvb1R9SD= xfquKcnhLpm5qkZCK5Lr5tZQRabs245EIy0mKSP9QxQuBzyYeCFFLEothTtKpIr48Z+LT8unavi= lmamh5NGWtEfoRMAsgjwduk9OSAFycbLlFEhePOyS+aVx13g3rsx+E2o0J7rlPmLWVxqiy5Fv3s= rq+Wx45EashSpRyuVpGtd8l0g4ooVVrXESApU+wjVUt9VbKuY0SK5vrSWrff8AnBOn7+qdv26qP= P7TPX1NX2+Zt6q0oZsVkissKmZHlVsqEqqwZ4ciMR4DRl8vYZQucJyJ9rlTrPQ26vz912J3a6ps= OytXuio6IVE7L37Knr379/6L0Vdi7bvtHZuiulpoKyTJVEi1Y3igjiZKwlZpFhBQ/DEjM/LtzMT= ueA505g6mm8ZDiac1izFHNbne1aEYs2rFy1LbnsTiELEJZZZnZhGqovyqoCqOKXz9owuTqITjPG= 0lDCjOcNyNIxr4AxK5jk7q1zUVVav+FyIv5d+gVm8JVsaq4/x/JvKfFj8nw1ErKumrX5yHS2tlQ= 0nH+6qYMzY2U28KX8TdVTG30sUNkamd/Zy3tGxESSqVhL1N7HiVcCJIkMAeLEjxjAKQQyhKATRk= EUb1Qgyie1wyDe1Hse1zHIjkVEF/mzgCg5amai7jbu3o7e9zljWBrWkojZxbmRithhoN1OaapPc= qsKp2dm76SLZhiGkCilKB/kI0uspCk9up7EgenTbb6djt29j7q9Dt7ncdCR1IAHQEfx/ziqzcb0= eVjUlnd+JrHbFb61wlHXQbZbK5iclz0uaDKDp9hAq9R9Vd0kC8Ix1ecbpL6QjxnnObDjWYZ9w8X= wOMcDtNW6z55xOuByfgdFGk0hisLR0sTMRMzW30qhmyby1DXVskc8RtLW3E+dYWzW00hs4g6eW8= rLN8MWGnS5NhI5H2S2Fzoc5ptXMC7EAJpbTI6WHp8454xZdA0Aa6bBCF7MuOmWfGRfrnnkOcdWK= L4Q+NwQ5UU3IeynPmDnskSpTsWpzPmswZGFKg8ywBSR7LjfL2jlIFyT5ArANmkyJZSY6vDKehZu= u2+yj9iOnKe537dD07DhxIB6kdR7H03H9P0P7/AMjfVlvDbm5iZ7C0HOmLsotfncwd0OiQ6ae/z= dZWYmDIopg4WoLHTCySUEq/gBBF+oDbXySXyXtZKLa9K59hGg5uZXw2sjw4tPIhxY4mtYMEcMN4= ghG1P7rBja1jE9kaiIidvToIOPeC8JxvsqvZ0eotfq66nk1kiAMGSqINweYFAyLC5/AKCqk2D0V= FkRokg74cSU9TRxMRoxsIew0UU8CYEckTyFinGxjTDc57iDc1rGtRfM5zlVGta1PMqr2RFXphIL= DYdOnbbqSv7dunXv09+E3U+xPr6H2Hcj6d/uNzt0P8ZuP9ymf9knTH0ul1MfRvq33Xhqeh+v8Ao= cZu9mf0/ZOsOl0usT0P1X78SH1/hfsOF04VX8Shf6qP/wAzOl0ulHqf7j/knCcf/9k=3D" widt= h=3D"48" height=3D"49" alt=3D"Interfaz de usuario gr=C3=A1fica, Aplicaci=C3= =B3n Descripci=C3=B3n generada autom=C3=A1ticamente con confianza = media" style=3D"margin-top:88pt; margin-left:403.5pt; position:absolute" />= </span><span style=3D"font-family:'Times New Roman'; font-style:italic; col= or:#050505">Problem-based learning for teaching process through the Chamilo= platform</span></p><p style=3D"text-align:center; line-height:108%; font-s= ize:10pt"><span style=3D"font-family:'Times New Roman'">Josimar Emir Qui=C3= =B1=C3=B3nez Barrezueta., Edgar Orlando Pozo Hurtado., Sof=C3=ADa Haydee J= =C3=A1come Encalada., & Alejandro Reigosa Lara.</span></p><table style= =3D"width:396.3pt; margin-bottom:0pt; border:0.75pt solid #000000; padding:= 0pt; border-collapse:collapse"><tr><td style=3D"width:3.25pt; border-right:= 0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.03p= t; vertical-align:top"><p style=3D"margin-bottom:0pt; text-align:center; li= ne-height:150%; font-size:10pt"><span style=3D"line-height:150%; font-famil= y:'Times New Roman'; font-size:6.67pt; font-weight:bold; vertical-align:sup= er">1</span></p></td><td style=3D"width:171.95pt; border-right:0.75pt solid= #000000; border-left:0.75pt solid #000000; border-bottom:0.75pt solid #000= 000; padding:0pt 5.03pt; vertical-align:top"><p style=3D"margin-left:7.1pt;= margin-bottom:0pt; text-indent:-7.1pt; text-align:justify; line-height:nor= mal; font-size:10pt"><a id=3D"_Hlk165912150"><span style=3D"font-family:'Ti= mes New Roman'">Josimar Emir Qui=C3=B1=C3=B3nez Barrezueta</span></a></p></= td><td style=3D"width:10.5pt; border-right:0.75pt solid #000000; border-lef= t:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.0= 3pt; vertical-align:top"><p style=3D"margin-bottom:0pt; text-align:center; = line-height:150%; font-size:10pt"><span style=3D"height:0pt; text-align:lef= t; display:block; position:absolute; z-index:1"><img src=3D"data:image/png;= base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAA= AAlwSFlzAAAOxAAADsQBlSsOGwAAA2lJREFUOI21lEtoXVUUhr+197n3nNzbJN6omdTWRmwbikV= q4iMxk0ZU2oGgA1FnQcQiUhUnFqo4cGIRQUGd+KDY+Jp25ouiGCOxElqjhba0URPzsPQmuY9zzj= 1nLwcnuU1iQ0f+mzXZe///Wv/aiy1cBV/83NNOPr/VWHunqO5OVNuNlQVjmZCGjCVhcPHR3q8Xr= saVNUITu/KSlu7LFeSpNNZ+57RTjDTvqFM1IvNiGXWJvD/9x8yXB/efizYU/Hy8/0W/aA/Xq43r= 1P3nOCNIFsW2XLleTd648Z/863v3nkjWCL59dp/fWSsfzOXNkShKacvfgnMRlXjqqqIrwr5vkih= yhxbT+K2ne082AAzADZXyPj+wL8ehQ1NH700v0N35OAroutW0rxDF6rUUvddaJfdwM9HwqYFSa0= GO1SrpfucUVUXEZCQcqQtZ0VEU1QTPtmAkDygiEBTsTxq6hx65fWTOy7l0exjKgGrGcjTo2/oKS= 9EUZ2aPcf/Oo1iTI9UGqFJrzDF5+Sv+Wvg+y+IEVXaGibsbOO5hGBSkbUUQdRT9zaQuBhE6Ct2M= T7/D9OIIVnw6Ct3csfk52oNtTMwcBbE0YteeC7we4LinSI9Z03dBNUVxTdu1eI7FcBIjHvPVU1T= jv7nn5sNMXv6WSjyFiIg17AAwqpRW9fqayNkiM0tjqDrag67mDCi0ARiB6gaTsSEEg4htusj2qG= eCIr9dW0JR3PKrR2zreIDURZTrZ7NTBYdeBPAU+cY59zxCkFlXjHiI2GY1pZbtRMkC1gZcX9hFV= +lBTs98SDWexYjFGqkldT0J4EkY/ZovBb+klbQ/G1zDYvQntXgWFC5VJ9hSGmRLaRCnCZeqE3x3= 4SXK9XMY8bK+BvZ8JUzGAEQV+Wy87xm/xbwZ1lwewGmCIIhYnCZXjKvDaQNrfIzkAKXYZl11wR1= 6omfkyHIP0RB/2CV8GrRkNldbNmKbYU2enC0uV6bkfUNUd8P1ury3ktQADO05UV6azx1IE/dRUL= DomjGSVXEFhVbrXMoncTV99smBH5ZW327igzP3trY2ONCyyQ6FtbRLUw2yZ8p+FwARifyCvRDV0= 48rcfXdoT3j5fXp1+BVxdx2um+HGnuX9egX4dY01U0iVK2R80nMaELy42O7R39fz/1f8C/hZ5Yv= jpSKGwAAAABJRU5ErkJggg=3D=3D" width=3D"20" height=3D"20" alt=3D"" style=3D"= margin-top:0.45pt; margin-left:-0.3pt; position:absolute" /></span><span st= yle=3D"font-family:'Times New Roman'"> </span></p></td><td style=3D"wi= dth:166.65pt; border-left:0.75pt solid #000000; border-bottom:0.75pt solid = #000000; padding:0pt 5.03pt; vertical-align:top"><p style=3D"margin-bottom:= 0pt; line-height:150%"><a href=3D"https://orcid.org/0009-0001-9277-5676" st= yle=3D"text-decoration:none"><span class=3D"Hyperlink" style=3D"line-height= :150%; font-family:'Times New Roman'; font-size:10pt">https://orcid.org/000= 9-0001-9277-5676</span></a></p></td></tr><tr><td style=3D"width:3.25pt; bor= der-top:0.75pt solid #000000; border-right:0.75pt solid #000000; border-bot= tom:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top"><p style= =3D"margin-bottom:0pt; text-align:center; line-height:150%; font-size:14pt"= ><span style=3D"font-family:'Times New Roman'"> </span></p></td><td co= lspan=3D"3" style=3D"width:370.7pt; border-top:0.75pt solid #000000; border= -left:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt= 5.03pt; vertical-align:middle"><p style=3D"margin-bottom:0pt; line-height:= normal; font-size:10pt"><span style=3D"font-family:'Times New Roman'">Unive= rsidad Bolivariana del Ecuador (UBE), Dur=C3=A1n, Ecuador.</span></p><p sty= le=3D"margin-bottom:0pt; line-height:normal; font-size:10pt"><span style=3D= "font-family:'Times New Roman'">Maestr=C3=ADa en Educaci=C3=B3n con Menci= =C3=B3n en Pedagog=C3=ADa en Entornos Digitales.</span></p><p style=3D"marg= in-left:7.1pt; margin-bottom:0pt; text-indent:-7.1pt; line-height:normal"><= a href=3D"mailto:jequinonezb@ube.edu.ec" style=3D"text-decoration:none"><sp= an class=3D"Hyperlink" style=3D"font-family:'Times New Roman'; font-size:10= pt">jequinonezb@ube.edu.ec</span></a><span style=3D"font-family:'Times New = Roman'; font-size:10pt"> </span></p><p style=3D"margin-left:7.1pt; margin-b= ottom:0pt; text-indent:-7.1pt; line-height:normal; font-size:10pt"><span st= yle=3D"font-family:'Times New Roman'"> </span></p></td></tr><tr><td st= yle=3D"width:3.25pt; border-top:0.75pt solid #000000; border-right:0.75pt s= olid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.03pt; verti= cal-align:top"><p style=3D"margin-bottom:0pt; text-align:center; line-heigh= t:150%; font-size:10pt"><span style=3D"line-height:150%; font-family:'Times= New Roman'; font-size:6.67pt; font-weight:bold; vertical-align:super">2</s= pan></p></td><td style=3D"width:171.95pt; border:0.75pt solid #000000; padd= ing:0pt 5.03pt; vertical-align:middle"><p style=3D"margin-left:7.1pt; margi= n-bottom:0pt; text-indent:-7.1pt; line-height:normal; font-size:10pt"><span= style=3D"font-family:'Times New Roman'">Edgar Orlando Pozo Hurtado</span><= /p></td><td style=3D"width:10.5pt; border:0.75pt solid #000000; padding:0pt= 5.03pt; vertical-align:middle"><p style=3D"margin-bottom:0pt; line-height:= 150%; font-size:10pt"><span style=3D"height:0pt; display:block; position:ab= solute; z-index:2"><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUg= AAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAA= 2lJREFUOI21lEtoXVUUhr+197n3nNzbJN6omdTWRmwbikVq4iMxk0ZU2oGgA1FnQcQiUhUnFqo4= cGIRQUGd+KDY+Jp25ouiGCOxElqjhba0URPzsPQmuY9zzj1nLwcnuU1iQ0f+mzXZe///Wv/aiy1= cBV/83NNOPr/VWHunqO5OVNuNlQVjmZCGjCVhcPHR3q8XrsaVNUITu/KSlu7LFeSpNNZ+57RTjD= TvqFM1IvNiGXWJvD/9x8yXB/efizYU/Hy8/0W/aA/Xq43r1P3nOCNIFsW2XLleTd648Z/863v3n= kjWCL59dp/fWSsfzOXNkShKacvfgnMRlXjqqqIrwr5vkihyhxbT+K2ne082AAzADZXyPj+wL8eh= Q1NH700v0N35OAroutW0rxDF6rUUvddaJfdwM9HwqYFSa0GO1SrpfucUVUXEZCQcqQtZ0VEU1QT= PtmAkDygiEBTsTxq6hx65fWTOy7l0exjKgGrGcjTo2/oKS9EUZ2aPcf/Oo1iTI9UGqFJrzDF5+S= v+Wvg+y+IEVXaGibsbOO5hGBSkbUUQdRT9zaQuBhE6Ct2MT7/D9OIIVnw6Ct3csfk52oNtTMwcB= bE0YteeC7we4LinSI9Z03dBNUVxTdu1eI7FcBIjHvPVU1Tjv7nn5sNMXv6WSjyFiIg17AAwqpRW= 9fqayNkiM0tjqDrag67mDCi0ARiB6gaTsSEEg4htusj2qGeCIr9dW0JR3PKrR2zreIDURZTrZ7N= TBYdeBPAU+cY59zxCkFlXjHiI2GY1pZbtRMkC1gZcX9hFV+lBTs98SDWexYjFGqkldT0J4EkY/Z= ovBb+klbQ/G1zDYvQntXgWFC5VJ9hSGmRLaRCnCZeqE3x34SXK9XMY8bK+BvZ8JUzGAEQV+Wy87= xm/xbwZ1lwewGmCIIhYnCZXjKvDaQNrfIzkAKXYZl11wR16omfkyHIP0RB/2CV8GrRkNldbNmKb= YU2enC0uV6bkfUNUd8P1ury3ktQADO05UV6azx1IE/dRULDomjGSVXEFhVbrXMoncTV99smBH5Z= W327igzP3trY2ONCyyQ6FtbRLUw2yZ8p+FwARifyCvRDV048rcfXdoT3j5fXp1+BVxdx2um+HGn= uX9egX4dY01U0iVK2R80nMaELy42O7R39fz/1f8C/hZ5YvjpSKGwAAAABJRU5ErkJggg=3D=3D"= width=3D"20" height=3D"20" alt=3D"" style=3D"margin-top:0.45pt; margin-lef= t:-0.3pt; position:absolute" /></span><span style=3D"font-family:'Times New= Roman'"> </span></p></td><td style=3D"width:166.65pt; border-top:0.75= pt solid #000000; border-left:0.75pt solid #000000; border-bottom:0.75pt so= lid #000000; padding:0pt 5.03pt; vertical-align:middle"><p style=3D"margin-= bottom:0pt; line-height:150%"><a href=3D"https://orcid.org/0009-0009-4983-7= 577" style=3D"text-decoration:none"><span class=3D"Hyperlink" style=3D"line= -height:150%; font-family:'Times New Roman'; font-size:10pt">https://orcid.= org/0009-0009-4983-7577</span></a></p></td></tr><tr><td style=3D"width:3.25= pt; border-top:0.75pt solid #000000; border-right:0.75pt solid #000000; bor= der-bottom:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top"><p= style=3D"margin-bottom:0pt; text-align:center; line-height:150%; font-size= :14pt"><span style=3D"font-family:'Times New Roman'"> </span></p></td>= <td colspan=3D"3" style=3D"width:370.7pt; border-top:0.75pt solid #000000; = border-left:0.75pt solid #000000; border-bottom:0.75pt solid #000000; paddi= ng:0pt 5.03pt; vertical-align:middle"><p style=3D"margin-bottom:0pt; line-h= eight:normal; font-size:10pt"><span style=3D"font-family:'Times New Roman'"= >Universidad Bolivariana del Ecuador (UBE), Dur=C3=A1n, Ecuador. </span></p= ><p style=3D"margin-bottom:0pt; line-height:normal; font-size:10pt"><span s= tyle=3D"font-family:'Times New Roman'">Maestr=C3=ADa en Educaci=C3=B3n con = Menci=C3=B3n en Pedagog=C3=ADa en Entornos Digitales</span></p><p style=3D"= margin-left:7.1pt; margin-bottom:0pt; text-indent:-7.1pt; line-height:norma= l"><a href=3D"mailto:natalia.naranjoo@ug.edu.ec" style=3D"text-decoration:n= one"><span style=3D"font-family:'Times New Roman'; font-size:10pt; color:#0= 00000"> </span><span class=3D"Hyperlink" style=3D"font-family:'Times N= ew Roman'; font-size:10pt">eopozoh@ube.edu.ec</span></a><span class=3D"Hype= rlink" style=3D"font-family:'Times New Roman'; font-size:10pt"> </span></p>= <p style=3D"margin-left:7.1pt; margin-bottom:0pt; text-indent:-7.1pt; line-= height:normal; font-size:10pt"><span style=3D"font-family:'Times New Roman'= "> </span></p></td></tr><tr><td style=3D"width:3.25pt; border-top:0.75= pt solid #000000; border-right:0.75pt solid #000000; border-bottom:0.75pt s= olid #000000; padding:0pt 5.03pt; vertical-align:top"><p style=3D"margin-bo= ttom:0pt; text-align:center; line-height:150%; font-size:10pt"><span style= =3D"line-height:150%; font-family:'Times New Roman'; font-size:6.67pt; font= -weight:bold; vertical-align:super">3</span></p></td><td style=3D"width:171= .95pt; border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:midd= le"><p style=3D"margin-left:7.1pt; margin-bottom:0pt; text-indent:-7.1pt; l= ine-height:normal; font-size:10pt"><a id=3D"_Hlk165912215"><span style=3D"f= ont-family:'Times New Roman'">Sof=C3=ADa Haydee J=C3=A1come Encalada</span>= </a></p></td><td style=3D"width:10.5pt; border:0.75pt solid #000000; paddin= g:0pt 5.03pt; vertical-align:middle"><p style=3D"margin-bottom:0pt; line-he= ight:150%; font-size:10pt"><span style=3D"height:0pt; display:block; positi= on:absolute; z-index:3"><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANS= UhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsO= GwAAA2lJREFUOI21lEtoXVUUhr+197n3nNzbJN6omdTWRmwbikVq4iMxk0ZU2oGgA1FnQcQiUhU= nFqo4cGIRQUGd+KDY+Jp25ouiGCOxElqjhba0URPzsPQmuY9zzj1nLwcnuU1iQ0f+mzXZe///Wv= /aiy1cBV/83NNOPr/VWHunqO5OVNuNlQVjmZCGjCVhcPHR3q8XrsaVNUITu/KSlu7LFeSpNNZ+5= 7RTjDTvqFM1IvNiGXWJvD/9x8yXB/efizYU/Hy8/0W/aA/Xq43r1P3nOCNIFsW2XLleTd648Z/8= 63v3nkjWCL59dp/fWSsfzOXNkShKacvfgnMRlXjqqqIrwr5vkihyhxbT+K2ne082AAzADZXyPj+= wL8ehQ1NH700v0N35OAroutW0rxDF6rUUvddaJfdwM9HwqYFSa0GO1SrpfucUVUXEZCQcqQtZ0V= EU1QTPtmAkDygiEBTsTxq6hx65fWTOy7l0exjKgGrGcjTo2/oKS9EUZ2aPcf/Oo1iTI9UGqFJrz= DF5+Sv+Wvg+y+IEVXaGibsbOO5hGBSkbUUQdRT9zaQuBhE6Ct2MT7/D9OIIVnw6Ct3csfk52oNt= TMwcBbE0YteeC7we4LinSI9Z03dBNUVxTdu1eI7FcBIjHvPVU1Tjv7nn5sNMXv6WSjyFiIg17AA= wqpRW9fqayNkiM0tjqDrag67mDCi0ARiB6gaTsSEEg4htusj2qGeCIr9dW0JR3PKrR2zreIDURZ= TrZ7NTBYdeBPAU+cY59zxCkFlXjHiI2GY1pZbtRMkC1gZcX9hFV+lBTs98SDWexYjFGqkldT0J4= EkY/ZovBb+klbQ/G1zDYvQntXgWFC5VJ9hSGmRLaRCnCZeqE3x34SXK9XMY8bK+BvZ8JUzGAEQV= +Wy87xm/xbwZ1lwewGmCIIhYnCZXjKvDaQNrfIzkAKXYZl11wR16omfkyHIP0RB/2CV8GrRkNld= bNmKbYU2enC0uV6bkfUNUd8P1ury3ktQADO05UV6azx1IE/dRULDomjGSVXEFhVbrXMoncTV99s= mBH5ZW327igzP3trY2ONCyyQ6FtbRLUw2yZ8p+FwARifyCvRDV048rcfXdoT3j5fXp1+BVxdx2u= m+HGnuX9egX4dY01U0iVK2R80nMaELy42O7R39fz/1f8C/hZ5YvjpSKGwAAAABJRU5ErkJggg= =3D=3D" width=3D"20" height=3D"20" alt=3D"" style=3D"margin-top:0.45pt; mar= gin-left:-0.3pt; position:absolute" /></span><span style=3D"font-family:'Ti= mes New Roman'"> </span></p></td><td style=3D"width:166.65pt; border-t= op:0.75pt solid #000000; border-left:0.75pt solid #000000; border-bottom:0.= 75pt solid #000000; padding:0pt 5.03pt; vertical-align:middle"><p style=3D"= margin-bottom:0pt; line-height:150%"><a href=3D"https://orcid.org/0000-0002= -5664-8151" style=3D"text-decoration:none"><span class=3D"Hyperlink" style= =3D"line-height:150%; font-family:'Times New Roman'; font-size:10pt">https:= //orcid.org/0000-0002-5664-8151</span></a></p></td></tr><tr style=3D"height= :47.8pt"><td style=3D"width:3.25pt; border-top:0.75pt solid #000000; border= -right:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0p= t 5.03pt; vertical-align:top"><p style=3D"margin-bottom:0pt; text-align:cen= ter; line-height:150%; font-size:14pt"><span style=3D"font-family:'Times Ne= w Roman'"> </span></p></td><td colspan=3D"3" style=3D"width:370.7pt; b= order-top:0.75pt solid #000000; border-left:0.75pt solid #000000; border-bo= ttom:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:middle"><p st= yle=3D"margin-bottom:0pt; line-height:normal; font-size:10pt"><span style= =3D"font-family:'Times New Roman'">Universidad de Guayaquil, Guayaquil, Ecu= ador.</span></p><p style=3D"margin-bottom:0pt; line-height:normal; font-siz= e:10pt"><span style=3D"font-family:'Times New Roman'">Universidad Bolivaria= na del Ecuador (UBE), Dur=C3=A1n, Ecuador.</span></p><p style=3D"margin-bot= tom:0pt; line-height:normal"><a href=3D"mailto:shjacomee@ube.edu.ec" style= =3D"text-decoration:none"><span class=3D"Hyperlink" style=3D"font-family:'T= imes New Roman'; font-size:10pt">shjacomee@ube.edu.ec</span></a><span style= =3D"font-family:'Times New Roman'; font-size:10pt"> , </span><a href=3D"mai= lto:sofia.jacomee@ug.edu.ec" style=3D"text-decoration:none"><span class=3D"= Hyperlink" style=3D"font-family:'Times New Roman'; font-size:10pt">sofia.ja= comee@ug.edu.ec</span></a></p><p style=3D"margin-bottom:0pt; line-height:no= rmal; font-size:10pt"><span style=3D"font-family:'Times New Roman'"> <= /span></p></td></tr><tr><td style=3D"width:3.25pt; border-top:0.75pt solid = #000000; border-right:0.75pt solid #000000; border-bottom:0.75pt solid #000= 000; padding:0pt 5.03pt; vertical-align:top"><p style=3D"margin-bottom:0pt;= text-align:center; line-height:150%; font-size:10pt"><span style=3D"line-h= eight:150%; font-family:'Times New Roman'; font-size:6.67pt; font-weight:bo= ld; vertical-align:super">4</span></p></td><td style=3D"width:171.95pt; bor= der:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:middle"><p sty= le=3D"margin-left:7.1pt; margin-bottom:0pt; text-indent:-7.1pt; line-height= :normal; font-size:10pt"><span style=3D"font-family:'Times New Roman'">Alej= andro Reigosa Lara</span></p></td><td style=3D"width:10.5pt; border:0.75pt = solid #000000; padding:0pt 5.03pt; vertical-align:middle"><p style=3D"margi= n-bottom:0pt; line-height:150%; font-size:10pt"><span style=3D"height:0pt; = display:block; position:absolute; z-index:0"><img src=3D"data:image/png;bas= e64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAl= wSFlzAAAOxAAADsQBlSsOGwAAA2lJREFUOI21lEtoXVUUhr+197n3nNzbJN6omdTWRmwbikVq4i= Mxk0ZU2oGgA1FnQcQiUhUnFqo4cGIRQUGd+KDY+Jp25ouiGCOxElqjhba0URPzsPQmuY9zzj1nL= wcnuU1iQ0f+mzXZe///Wv/aiy1cBV/83NNOPr/VWHunqO5OVNuNlQVjmZCGjCVhcPHR3q8XrsaV= NUITu/KSlu7LFeSpNNZ+57RTjDTvqFM1IvNiGXWJvD/9x8yXB/efizYU/Hy8/0W/aA/Xq43r1P3= nOCNIFsW2XLleTd648Z/863v3nkjWCL59dp/fWSsfzOXNkShKacvfgnMRlXjqqqIrwr5vkihyhx= bT+K2ne082AAzADZXyPj+wL8ehQ1NH700v0N35OAroutW0rxDF6rUUvddaJfdwM9HwqYFSa0GO1= SrpfucUVUXEZCQcqQtZ0VEU1QTPtmAkDygiEBTsTxq6hx65fWTOy7l0exjKgGrGcjTo2/oKS9EU= Z2aPcf/Oo1iTI9UGqFJrzDF5+Sv+Wvg+y+IEVXaGibsbOO5hGBSkbUUQdRT9zaQuBhE6Ct2MT7/= D9OIIVnw6Ct3csfk52oNtTMwcBbE0YteeC7we4LinSI9Z03dBNUVxTdu1eI7FcBIjHvPVU1Tjv7= nn5sNMXv6WSjyFiIg17AAwqpRW9fqayNkiM0tjqDrag67mDCi0ARiB6gaTsSEEg4htusj2qGeCI= r9dW0JR3PKrR2zreIDURZTrZ7NTBYdeBPAU+cY59zxCkFlXjHiI2GY1pZbtRMkC1gZcX9hFV+lB= Ts98SDWexYjFGqkldT0J4EkY/ZovBb+klbQ/G1zDYvQntXgWFC5VJ9hSGmRLaRCnCZeqE3x34SX= K9XMY8bK+BvZ8JUzGAEQV+Wy87xm/xbwZ1lwewGmCIIhYnCZXjKvDaQNrfIzkAKXYZl11wR16om= fkyHIP0RB/2CV8GrRkNldbNmKbYU2enC0uV6bkfUNUd8P1ury3ktQADO05UV6azx1IE/dRULDom= jGSVXEFhVbrXMoncTV99smBH5ZW327igzP3trY2ONCyyQ6FtbRLUw2yZ8p+FwARifyCvRDV048r= cfXdoT3j5fXp1+BVxdx2um+HGnuX9egX4dY01U0iVK2R80nMaELy42O7R39fz/1f8C/hZ5YvjpS= KGwAAAABJRU5ErkJggg=3D=3D" width=3D"20" height=3D"20" alt=3D"" style=3D"mar= gin-top:0.45pt; margin-left:-0.3pt; position:absolute" /></span><span style= =3D"font-family:'Times New Roman'"> </span></p></td><td style=3D"width= :166.65pt; border-top:0.75pt solid #000000; border-left:0.75pt solid #00000= 0; border-bottom:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:m= iddle"><p style=3D"margin-bottom:0pt; line-height:150%"><a href=3D"https://= orcid.org/0000-0002-4323-6668" style=3D"text-decoration:none"><span class= =3D"Hyperlink" style=3D"line-height:150%; font-family:'Times New Roman'; fo= nt-size:10pt">https://orcid.org/0000-0002-4323-6668</span></a></p></td></tr= ><tr style=3D"height:36.1pt"><td style=3D"width:3.25pt; border-top:0.75pt s= olid #000000; border-right:0.75pt solid #000000; padding:0pt 5.03pt; vertic= al-align:top"><p style=3D"margin-bottom:0pt; text-align:center; line-height= :150%; font-size:14pt"><span style=3D"font-family:'Times New Roman'"> = </span></p></td><td colspan=3D"3" style=3D"width:370.7pt; border-top:0.75pt= solid #000000; border-left:0.75pt solid #000000; padding:0pt 5.03pt; verti= cal-align:middle"><p style=3D"margin-bottom:0pt; line-height:normal; font-s= ize:10pt"><span style=3D"font-family:'Times New Roman'">Universidad Bolivar= iana del Ecuador (UBE), Dur=C3=A1n, Ecuador.</span></p><p style=3D"margin-l= eft:7.1pt; margin-bottom:0pt; text-indent:-7.1pt; line-height:normal"><a hr= ef=3D"mailto:areigosal@ube.edu.ec" style=3D"text-decoration:none"><span cla= ss=3D"Hyperlink" style=3D"font-family:'Times New Roman'; font-size:10pt">ar= eigosal@ube.edu.ec</span></a><span style=3D"font-family:'Times New Roman'; = font-size:10pt"> </span></p><p style=3D"margin-bottom:0pt; line-height:norm= al; font-size:10pt"><span style=3D"font-family:'Times New Roman'"> </s= pan></p></td></tr></table><p class=3D"Default" style=3D"text-indent:36pt; t= ext-align:center; line-height:115%; font-size:14pt"><span style=3D"font-sty= le:italic"> </span></p><p class=3D"Default" style=3D"text-indent:36pt;= text-align:center; line-height:115%; font-size:14pt"><span style=3D"font-s= tyle:italic"> </span></p><table style=3D"width:436.35pt; margin-left:0= .25pt; margin-bottom:0pt; padding:0pt; border-collapse:collapse"><tr><td co= lspan=3D"3" style=3D"width:156.4pt; padding:0pt 5.4pt; vertical-align:top">= <p style=3D"margin-bottom:0pt; text-align:right; line-height:normal; font-s= ize:10pt"><a id=3D"_Hlk92186133"><span class=3D"Hyperlink" style=3D"font-fa= mily:'Times New Roman'; text-decoration:none; color:#0000ff"> </span><= /a></p><p style=3D"margin-bottom:0pt; text-align:right; line-height:normal;= font-size:10pt"><span style=3D"font-family:'Times New Roman'"> </span= ></p></td><td colspan=3D"2" style=3D"width:258.35pt; border-top:0.75pt soli= d #000000; padding:0pt 5.4pt; vertical-align:top"><p style=3D"margin-bottom= :0pt; text-align:right; line-height:normal; font-size:10pt"><span style=3D"= font-family:'Times New Roman'; font-weight:bold">Art=C3=ADculo de Investiga= ci=C3=B3n Cient=C3=ADfica y Tecnol=C3=B3gica</span></p><p style=3D"margin-b= ottom:0pt; text-align:right; line-height:normal; font-size:10pt"><span styl= e=3D"font-family:'Times New Roman'; background-color:#ffff00">Enviado: 23-1= 2-2024</span><span style=3D"font-family:'Times New Roman'; background-color= :#ffff00">  </span><span style=3D"font-family:'Times New Roman'; backg= round-color:#ffff00"> </span></p><p style=3D"margin-bottom:0pt; text-a= lign:right; line-height:normal; font-size:10pt"><span style=3D"font-family:= 'Times New Roman'; background-color:#ffff00">Revisado: 06-01- 2025 </span><= /p><p style=3D"margin-bottom:0pt; text-align:right; line-height:normal; fon= t-size:10pt"><span style=3D"font-family:'Times New Roman'; background-color= :#ffff00">Aceptado: 14-01-2025</span><span style=3D"font-family:'Times New = Roman'; background-color:#ffff00">  </span><span style=3D"font-family:= 'Times New Roman'; background-color:#ffff00"> </span><span style=3D"fo= nt-family:'Times New Roman'; background-color:#ffff00"> </span></p><p style= =3D"margin-bottom:0pt; text-align:right; line-height:normal; font-size:10pt= "><span style=3D"font-family:'Times New Roman'; background-color:#ffff00">P= ublicado:</span></p><p style=3D"margin-bottom:0pt; text-align:right; line-h= eight:normal; font-size:10pt"><span class=3D"label" style=3D"font-family:'T= imes New Roman'; background-color:#ffffff">DOI:</span><span class=3D"label"= style=3D"font-family:'Times New Roman'; background-color:#ffffff"> </= span></p></td></tr><tr style=3D"height:6.55pt"><td colspan=3D"3" style=3D"w= idth:156.4pt; padding:0pt 5.4pt; vertical-align:top"><p style=3D"margin-bot= tom:0pt; text-align:right; line-height:normal; font-size:6pt"><span class= =3D"Hyperlink" style=3D"font-family:'Times New Roman'; text-decoration:none= ; color:#0000ff"> </span></p><p style=3D"margin-bottom:0pt; text-align= :right; line-height:normal; font-size:6pt"><span class=3D"Hyperlink" style= =3D"font-family:'Times New Roman'; text-decoration:none; color:#0000ff">&#x= a0;</span></p></td><td colspan=3D"2" style=3D"width:258.35pt; border-bottom= :0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top"><p style=3D"m= argin-bottom:0pt; text-align:right; line-height:normal; font-size:6pt"><spa= n style=3D"font-family:'Times New Roman'; font-weight:bold"> </span></= p></td></tr><tr><td style=3D"width:37.8pt; padding:0pt 5.4pt; vertical-alig= n:top"><p style=3D"margin-bottom:0pt; text-align:justify; line-height:150%;= font-size:12pt"><span style=3D"font-family:'Times New Roman'; font-weight:= bold"> </span></p><p style=3D"margin-bottom:0pt; text-align:justify; l= ine-height:150%; font-size:12pt"><span style=3D"font-family:'Times New Roma= n'; font-weight:bold">C=C3=ADtese:</span><span style=3D"font-family:'Times = New Roman'"> </span></p></td><td style=3D"width:1.55pt; padding:0pt 5.4pt; = vertical-align:top"><p style=3D"margin-bottom:0pt; text-align:justify; line= -height:150%; font-size:12pt"><span style=3D"font-family:'Times New Roman';= font-weight:bold"> </span></p></td><td colspan=3D"2" style=3D"width:3= 58.55pt; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-al= ign:top"><p style=3D"margin-bottom:0pt; text-align:justify; line-height:nor= mal; font-size:10pt"><span style=3D"font-family:'Times New Roman'"> </= span></p><p style=3D"margin-bottom:0pt; text-align:justify; line-height:nor= mal; font-size:10pt"><span style=3D"font-family:'Times New Roman'">DATOS RE= VISTA</span></p><p style=3D"margin-bottom:0pt; text-align:justify; line-hei= ght:normal; font-size:10pt"><span style=3D"font-family:'Times New Roman'">D= ATOS REVISTA</span></p><p style=3D"margin-bottom:0pt; text-align:justify; l= ine-height:normal; font-size:10pt"><span style=3D"font-family:'Times New Ro= man'">DATOS REVISTA</span></p></td><td style=3D"border-top:0.75pt solid #00= 0000; padding:0pt; vertical-align:top"></td></tr><tr style=3D"height:0pt"><= td style=3D"width:48.6pt"></td><td style=3D"width:12.35pt"></td><td style= =3D"width:106.25pt"></td><td style=3D"width:263.1pt"></td><td style=3D"widt= h:6.05pt"></td></tr></table><p class=3D"Default" style=3D"line-height:115%"= ><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAjcAAACMCAYAAACA= uogxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAIABJREFUeJzsnXd4VFX= e+D93ZpKZZNIrIRB6TQhdEOngUgSkClIUEGUJUlR4URcVVBTQVRBFRBSR3gOhJjQDIQXSJ5n0Rn= qfJJM6M/f3R8hds7q7rovu6/ubz/PAA7ecc+655575nm87giiKImbMmDFjxowZM/9HkP23G2DGj= BkzZsyYMfMoMQs3ZsyYMWPGjJn/U5iFGzNmzJgxY8bM/ynMwo0ZM2bMmDFj5v8UZuHGjBkzZsyY= MfN/CsVvX4XY6l8CSH8jiiCA2HJUFBGFh8dbjgnCj27+23EzZsyYMWPGjJmf4/fR3IjQLLVI/wH= AJDT/U0QEUcQkCpgQQBAwic3XiaKx+fzf3WvGjBkzZsyYMfNz/A7CjYCkhREFQIYoglEEEwKiIC= BDRMCEIEBWSRXHbyeTW1GLIAiYBBETBhCamssRzZobM2bMmDFjxsw/5vfR3AgiYKJZTWNqPoSID= CMCpocCi0BOWQ2f+sew9aSGHefiyCmvQxDlCKK8+VbRhOl3abAZM2bMmDFj5o+K8HtkKBZFEwIi= iILkXyMKzcYmuWhCFOSkFlex7dQ9QlL0NIlKFDQwqqc962YPopurGkE0AgImQY7MrLwxY8aMGTN= mzPwDfnvNjanZHCWKzT42gkwAmYBMEJALzQapvHI9Hxy7zY1kHSYskMlEDDJLbiXq2Hr6HukV+o= d6H6FZ0/N/kMbGRnx8fHB1dWXSpEns2rWLVatW4erqiqurKyNHjuTTTz+V/v/jP7t372bAgAG4u= rpy8OBBAMrKyhg5ciS9evWioKAAgHv37jF06FBcXV3p27cvAQEBjB49WirHz8+P2traVu1av349= NTU1rY6dP3/+J2146623pPPu7u7S8TNnzkjHP/zwQ+n4qFGj+O6775g0aZJ0bMOGDYSHh/+kbA8= PDz755JNWbQgMDJTK/uCDD6RrV6xY8eheyn+J2tpaXn75ZbRa7e9e98yZM8nJyWl17Ny5c+zevR= uT6W/fnlarxc3NDYCTJ0/y1Vdf/aLytVotH3zwASUlJT97PiwsjO3bt1NdXU1UVBQvvfTSr3yS5= nZv3br1V9//90ybNu0XP+ejprGxURrnAQEB/5U2/FqamprYtWsXly9fbnX81q1bvPnmmwBcvXqV= Tz75hPr6+l9VR0ZGBhMnTiQ2NvY/bu//Nmpqali0aBGFhYWPpLzvvvuOZcuWYTQa/+E1p0+fZsO= GDf9RPSaTiW+++Yb9+/f/R+X8asTfGpMoGkyiWFnfKGqLq8QToWniZwGx4q4LceK5+9liVoVeLK= isFTcfCxN7rz4ldll1Sey6+rLYdc0lscvqi2K31f7iy/tui5kl1aLRZBKNRqNoMpl+82b/XtTV1= YnfffedqFKpxLfeeksURVFMSkoS27VrJ0ZHR4sTJ04Un3vuOVEURbGoqEh8+umnxTfffFO6/8iR= I2JMTIxYUFAgdu/eXRw/frxYUlIimkwmMSwsTIyIiBAbGxvFb7/9VrS3txf3798vGgwGMT09XZw= zZ45479490cXFRZwxY0ardjU1NYknTpwQPT09xcrKyp+0+5133hGffPJJMTs7W7xy5Yro7Owsvv= LKK2JDQ4OYnJws2tjYiF9++aXU7nHjxok+Pj5iQkKCKIqiePPmTXHFihViUVGRCIizZ88WRVEUT= 506JYaHh4vPPPOMuGzZMlGn04mXL18Wo6KipLrT09PFxx9/XNyzZ48oiqJYXl4uPvHEE+LatWtF= vV7/qF7N/0qKiorEzz777Dcpe+3ataK3t7eYkZEhhoSEiEePHv2H1y5cuFB81NNHbW2tuHDhQnH= 58uWiTqd7pGX/EnJycsSDBw/+wzG0ZMkS8eDBg4+kLpPJJIaHh4shISG/+J7Q0FCxR48e4smTJx= 9JG34vbt++LXp7e4v+/v7SsYKCAnH+/PniwoULH0kdGo1GTE9PfyRl/VbExcWJu3bt+rfvO3nyp= GhnZyfm5eX9ousLCgrEffv2iQ0NDT85V11dLUZERPxm35fRaBT37dsnZmdn/ybl/zs8slBwybYl= ij8K+RZpNIlo83UERGRxN6GA/JJa6kwWiAhYKcDbS8WMIZ147k99sFQqOBqcR61B0ew7LAOTScm= N2HLkxLHmaV86OKubQ8VFEwjCw4qao6z+iEl7rl27xhtvvMGLL77Iu+++C0CPHj347LPPUCgUFB= YWMnPmTAAKCwvJzMxkwYIF1NfXEx4ezrPPPgtATEwML7zwAp988gl37txh8uTJNDU10aVLF4KCg= vDz82PDhg08++yzyOVy2rRpw5tvvklVVRUGg4EJEya0aldKSgonTpygpqbmb+H4P0Kr1eLp6YmD= gwMTJkxgyZIlhIaG8uDBA+Li4nBxcaF3794ALFu2jKysLL7//nvpWJ8+fXBzcyMvLw+FQsGIESM= AGDduHBYWFiQkJLBkyRKsra2ZOHGiVG9xcTEHDhwgMTERS0tLAOrr60lPT2fVqlVYW1v/yz6vqK= jg4MGDWFtbs3DhQgICAlCr1fTs2ZMOHTogl8spLi4mMDCQ7t274+LiwoULF5g2bRpKpZLw8HDs7= OzQaDS8/PLLVFdXc+XKFYqKiujTpw9jxoyR6jKZTJw8eRJRFGnTpg3Dhw9n9+7dqFQqZs2aRXBw= MIWFhYwaNQpBELh16xYTJkwgOzub/v37o1QqOXz4MN26daNjx47s3LmT4OBgvL296d69u6S9evL= JJ+nVq1er96PX6ykrK6OkpITBgwfzww8/YG1tzZgxY7h27RqDBg1CJpMRHBzMpEmT+PTTTxk/fj= xpaWns3r0bW1tb2rZti5OTE6Io4uPjQ0lJCf7+/owYMYLDhw9LY8/CwoLevXtz4cIFrK2tcXNzo= 0+fPmi1WoKCgrCxsWHp0qUUFRWRkZHBgAEDiI+Pp6KigtzcXGxsbJgzZw7Lly/n2rVrAGRlZZGT= k8PIkSP5/vvvefLJJzl58iSDBg1iyJAhaDQa6ZmeffZZDAYDAQEBmEwm+vfvjyAIGI1G+vbty/H= jxykqKqJDhw6MGzcOGxubn4yLnTt3EhoairOzMyUlJTQ2NtKlSxcyMzPp1KkT/fr1o2vXrly9ep= Xk5GS6d+9OdnY23bt3x9bWloiICEaMGEGfPn0wGAyt3rMoihw5cgSA8ePHU1lZybvvvourqyuOj= o4EBQXRpk0b7OzsSEtLY9myZZw5c4bS0lJsbW1ZsmTJvxzXAMHBwcTGxkpa4PT0dCoqKpgxYwbn= z5+nU6dODBs2DK1Wy/Xr1+nYsSNTpkxBJvvb7Hnw4EHUajUDBgzAw8OD7Oxsrly5gpeXF+PHj5f= 6rr6+Hn9/f/r160dgYCADBw7EwsKCe/fuMWnSJFJSUsjPz2fRokU899xzpKamsnfvXuzs7Jg3bx= 6LFy/mwoULQPN8o9PpGDhwIJmZmVy8eBFnZ2dmzJiByWTi6NGj1NXVMXr0aHr06EF0dDQpKSmYT= CamTZvGxYsXkclkzJ49m44dO7bqk5MnT1JQUMC4cePo3bs3t2/fxsLCgqSkJDp06MDYsWNbXX/g= wAHatWtH9+7dad++PaGhody7d08aw+Xl5SQnJ5Obm0tRUREjR47E19eX+/fvc/fuXezs7Bg/fjz= t2rXj4MGD2NnZkZ2dzdWrV1Gr1fTp04dOnTpx9epVTCYTTz/9NG3atJHqLysrIygoiOLiYqZOnc= qECROkOcVgMBAWFkZUVBS9evXiySefJC8vj2vXrqHT6Rg3bhznzp3j9u3bAEydOpXr169TX1/P0= KFDEQSB69evExoayqJFi1CpVERHR2NlZcXt27fp0aMHEyZMIDo6GlEUGTBgANHR0dy9exeAxYsX= I5fLpbHZvn17Jk+ejFKpRBRFoqOj2bt3L2lpaSxdupSamhqsra3p0aMH8fHx3Lx5k65duzJu3Dj= S0tIoKSmhrKyMqqoqlixZgk6nIygoiPz8fMaOHYuPj88vGvc/xyOSB5pDtE3NazlanIeNgsANbR= Fbjt7jcHABacUW1GGLKLdGVFhSjSX3s5r45Hwqp0PSeG6iL4vHdMJGYQKxuXEmQUY9SgJjivjwW= DhpxTWIgoCIiAkRURRAbHZQ/qOh1+u5evUqBoOBTZs2tTo3Y8YM8vPzKSgooF+/fgCUlpaSn5/P= p59+yrx587h+/bp0vUajYdGiRUybNo033niDxsZGqqurcXV1ZevWrTg6OrJgwQKUSiUA1tbW9Ov= Xj/j4eOrr6xk+fLhUVnFxMadOnWLIkCG4uLj8rHCj0Wjo0KEDarUaAKPRSH19PU1NTZw/fx4nJy= e6du1KfHw8AQEBjBkzhsGDB0v3Ozs707t3byIiIpDL5QwZMgQABwcHCgoKqKiowMvLC4Xib/J3V= VUVX331FVOmTMHFxQWVSgVAcnIy1tbWeHh4/Ms+LykpYdWqVTg4OHD58mViYmLQaDRERERw7Ngx= SVVraWlJbGws169fRxAELl++zN27d1m0aBGvvvoqMTEx+Pv7k5iYSHh4ODdv3sTGxoYXXnihVX3= vvvsuGzdupKCgAEdHR1avXg1Abm4u3377LY6OjoSFhdHQ0IBaraampoYffviBtWvXUlxczMWLF6= XnTklJoU2bNqjVapycnPj6668pLCykoqKCS5cu0dDQAEB2djZvv/02zz//PMnJyQQGBrJx40YcH= BzYuXMnubm5hISEEBERAcCVK1dISUmR2mxtbY2NjQ3Ozs7U1tayYcMGbty4AcCXX36JwWCQTFfZ= 2dls2LCB4OBgioqKCA8PJyQkhJMnT9LU1MQHH3yAs7Mzhw4dIjg4mO3bt/Pdd98REhLC888/z1/= /+lesrKzYunUrYWFhUhtKS0tZuHAhZ86c4ciRI6xevZqVK1fS0NDApUuXqK2t5f3330ehUBAUFE= RUVBR+fn58+umnGI1GCgoKWLZsGbdv3yYpKYn9+/fj7OzM9evXSU1N/dmx0aZNG2xsbHB0dKSqq= oqXX36ZvXv38tFHH5Gfn8/mzZu5fPkyer2eNWvW8NFHH3Hnzh1WrFjB9evXOX/+PIcOHaKuro73= 3nuPO3fuoNVqOXnyJAEBAdy9e5fc3Fy0Wi1ZWVn88MMPODs7o1arCQkJYcWKFRw/fpxNmzYRGBj= IZ599RkJCAq+//jppaWn/cmxHRkZy48YN2rRpQ3BwMEePHqWxsZGPPvoIhUJBUlISV65coaCggE= 2bNuHl5cWJEye4deuWVIZGoyE9PZ20tDS+/vprkpOTWbduHV5eXty4cYOrV69K1x47dowVK1Zw9= OhRBEHgm2++oaamhu+//57MzEyqqqr44osvANDpdMTFxeHo6MiHH34ojT1o/q5XrlxJUFAQRUVF= rF69Gi8vL06fPk1YWBg3b94kMjKS+vp6du/ezcWLF1m8eDFpaWm0bduWc+fOUVRURHl5uWSWb+G= 7774jISEBuVzOjh07OHXqFEuXLuWLL76gtLSUt99+u9X1d+7cIT8/H39/f65fv05hYSHnz5/Hy8= uLe/fu8d5777F3714WL15MZmYmAFu2bOH+/fsEBwfj5eVFaWkpe/bsYfv27axdu5aYmBi8vLywt= 7fH0dERo9HI4cOHUalU6PV6/vrXv1JXVwdAQ0MD/v7+FBUVYWVlxZo1a6iqqpLaFx8fz7Fjx/Dy= 8mLbtm3cunWL06dPU19fT35+Pjt37sTe3h57e3s8PDzw8/Pj888/Ry6Xo1ar2bNnDz179qSqqop= 58+YRGBjIkiVL+Pzzz/Hy8mL79u3cv3+f9evXc+PGDTIyMjh37hwODg5cunSJwMBAzp07R0NDA5= 6enly+fFkSUAHUajVqtZo2bdpQUFDA8uXLuX//Punp6bz//vvSmDt58iSLFi3irbfekgT9/Px8z= p07R1ZWFl5eXrzyyiuSS8Wv4RFpboTmgG/hYWCUKNIkyLimKWDLgTBK6ixBZoEoN2BEQGaoRSGK= CCYRUW5BaYOMvYFZNDQZWTLBB4PRxIHrmTRiiVwQMcnlNIlW3EyuhlNRvDFvEO2cLDEhR4GA/KE= 3zh+NpqYmdDodHTt2xMnJqdU5URR58OCB9EGYTCbS0tJwdnbmq6++wtXVldDQUOn6xMREFi5cyO= LFizl37hz79u2jW7duKBQKHjx4gEqlomvXrj9pQ3p6Ok1NTa1W/XPmzCEsLAyFQoG9vf1P7snOz= qasrAxfX1/kcjkA4eHhtGvXDgcHByIiInB3d8fDw4OkpCQEQcDb2xsLCws+//xzNm7cCMCmTZvI= zs5GJpPh5eUllZ+ZmYm9vf1PVmBffPEF27Zt4+OPP0b8kR98UlISHh4eeHp6/ss+37BhA8uXL6e= goABXV1d69+7NtGnT2LRpE0uWLJG0QQ4ODnTp0oXKykpcXV3p3Lkz9vb2bNiwgS+++IKXX36ZuL= g44uPjmT17Nm5ubixfvlya8Fp49dVXuX//PjNnzsTS0pKvvvoKtVqN0Wikf//+vPLKK6Snp2Mym= aisrGT27NlYWVlx584doFnIOnHiBDt27GDQoEHY2toSGxtLv3796N69O8XFxfj4+PD8889jMBhQ= KpW0a9eO8ePH07t3b5YsWUJubi7e3t7MmTOHU6dOoVAo8PLyQiaT4eHh0arvAdq2bUunTp3o3r0= 7f/rTn0hJScHCwoKsrCyuX7/OzZs3iY+P54MPPpDqsrCwwMXFhbNnz+Ln58fSpUsJDw/H09OT+f= PnM2PGDCwsLIBm/4o+ffowZ84cnJ2deeaZZ6isrOTcuXM89dRTADg5ObFmzRpCQkKYOXMmb7/9N= u+//z41NTUcOHCAxsZGvv76a/bv38+5c+eYO3cu//M//8OWLVuYNWsWarWaxMREALp27crp06d5= +eWXuXPnDnPnzv3ZsTFq1ChSU1Px9fXFZDJhb2/PrFmz2Lt3L1ZWVpIPQrdu3QCYOHEiCoWCU6d= OsXr1atLS0njw4AHp6el88MEHyOVyZDIZgwYNYseOHfj5+bF161amTZtGZWUlcrmcgQMH4uXlRY= 8ePcjMzGTdunXs3LkTlUqFp6cna9asoaSkhKSkJFxcXP7huG5qaiIoKIgePXowZ84cvv/+eyIiI= ujTpw8KhQK1Wk23bt3IzMzk7t27nD17lqCgIOrq6vD29pa0F46OjuzYsYN33nmHv/zlL1y4cIFL= ly4RHBxMQ0MDzs7OzJo1C4AJEybQoUMHXn/9dYxGIxqNBltbW1xdXbGwsKBbt27S4sfW1pZp06Y= xa9YsKioquHHjBgMHDpTOzZ8/n4KCAu7fv0/v3r2ZPn06EyZMQKFQIIoijo6O0qJk8+bNTJs2ja= eeeoohQ4bQ0NBAYGAga9asYfTo0a36Zffu3ZJwU1dXx7Zt2/jTn/7E9OnT8fDw+Ilw4+7uzjfff= MPHH3/MpEmT2L17Nz4+PkyfPp1Jkybh6OjI3bt3KS0t5dlnn8XV1ZW0tDT279/PyJEjmT59OiUl= JezcuZMpU6Zw8OBBZs2ahY+PD/Hx8Tg6OuLg4MDx48fJzMzEZDIxbNgwqqqqsLKyora2lhMnThA= SEoJcLsfW1pbi4mKpfcHBwXz99dccOnSImpoaRowYQVNTE2vWrMHBwYHGxkbCw8MpKSmRtGwHDh= xg1qxZJCQkYDKZmD59OlOmTOH27dtYW1vz1FNPMXfuXIYMGcK7776Ls7Mz48ePB5rnYgsLC+bPn= 8/MmTOprq5mz549zJ07lx49euDu7k54eDh6vR61Wk379u3x8vJi7NixdOvWjRkzZgBw+/ZtTp8+= zdWrV6mrq6Nv374sXboUnU7H4sWLef/990lKSuLy5csEBASgUCiwsrIiLy/vFy1af45HasmRiSZ= AoEmUcU2Tx+b9IRTXKxAVckTBiAID/T1krJ3amV1+g/ngOV+GdVZhJa+lCTlHAzM5FpTAtJHdeG= ZkOyzFRmRGEzLRAIIJBBXB2ip2+EeTW16PHJAhgmhs1uI8yof5HWgZvE1NTej1eqDZcTAtLQ2Dw= UBMTAw+Pj44ODhgMBhISEjA19eXtm3b0qZNG0aPHk1eXh6VlZWShmPYsGEsXryYzZs3S8fc3d0x= Go1UV1dLdSckJFBcXExSUhKTJk1CJpNRU1PD3r17+eabb6ivr+e9995rJUS0EBISgkqlwsPDg5q= aGrZv305ubi4vvPACdXV1pKamMnr0aARBwMvLC1tbW5KTk6mvr2f58uXY2dmxYMEC/Pz8uHPnDv= 369Ws1gIOCgnB3d5eEG5PJxM2bN+nbty8VFRVoNJpW7QoKCsLT01NS7WZkZFBQUEBiYiKVlZXSd= S2akDVr1hAWFsa6desQBIGIiAhp9diygmqhqakJo9FIY2MjhYWFWFtbY2FhIQlBoihy8+ZN3nzz= TXbu3PmTvrK2tpZ+5BQKBTY2NqSnp6PX6zl9+jQKhYKuXbsSFRXFgwcP6NSpExYWFpIgMHToUL7= 55hu2b9/OoUOHWpW9YcMGli1bhr+/f6v+k8vlKJVKVCqVNAaUSiWCILQyPzQ1NWEymaitraWoqK= iVw3ALMplM0vZZWFhQX19PXV0dTU1NQLOptKVso9FIQEAAlZWVzJ8/H6VSSVZWFg0NDVhbW1NRU= YFKpZL6QqlUYjQakclk1NXVtTIVyWQyycTYck/LeVEUaWxsZOrUqcjlclatWiX9gMtkMmQyGXK5= HCsrK6DZbDZw4EDmzJnD/Pnzf/KM/whBELC0tMTW1raVBrEFCwsLSavZ0keiKCKXy7GwsGDFihV= UV1dz5MgRPD09CQ4OJiAggG+//fZny2t5b3Z2diQlJbFixQqeeuopHBwcfvJu8vPzpW+qpa2CIF= BdXY3JZJLGJzTPKaIo0tDQIDmltggTNTU1rbSN9vb2JCcno1QqWb58OWVlZcycOZOCggJ0Oh1r1= qyRrlUqlcjlckwmEyaTCYVCIT2XwWCgsbGR+vp6cnNzkclkUn9VV1fToUOHVv3cooW1tLQkJSWF= hoYGLCws0Ov1HD58mF27dvHWW2/h5OSEpaWlVDfA9u3buXTpEu+8844kTLWgUqk4efIkVVVVkvZ= UqVSiVCqRyWQ/6VcXFxcCAwO5ceMG77//PpaWlqSmpmI0GjGZTDg4OEjvuuV7amxsxMrKStJ+iq= KISqWSxmNLO3/8nseOHUtCQgI6nY4TJ05Ii1tBEOjTpw+BgYFUVlai0Who3759q/fz1ltvUVxcT= G1tLU8//TQ6nY7Kykrp+/wxarUauVyOIAgolUrS09Opq6tDoVBgMplQq9XSXPHj9rWMnxYTfU1N= DSqVivr6esrLyyWBSy6XS/Pb3yOXy1u91yVLllBYWCiZoKysrLC0tGzVP127duXs2bNUVFSQmpo= quTH8GuSb/t4e8isRaRZsTCJE55Sy83QcWRWWIJchiiYcVCbmPNGOtdP7Mr5PO7q629OrvRP9ur= ehtq6erIIqarEiOb8UpUJg+ohuWMpEUh6U02QUEQU5CAJG5OQUV1NaWU3vzq7YqRQtbjcP0wX+c= TQ4SqUSNzc3bty4QWJiIlqtlvDwcDQaDeHh4Zw9exZRFBk2bBhHjhzh6tWrNDY2UlVVRUREBP7+= /kRHR3Px4kUKCwsZO3YsVlZW9OrVi6tXr7J06VJcXFzw9vYmMjKSyMhIUlNTCQ0NJSwsjNjYWIK= CgrC3t8fLy4udO3fS0NDA1KlT0Wq17N69m8zMTAYOHEiPHj0A8Pf359ChQ2RnZ2Nra0tAQABxcX= GsWrUKX19fvvzyS8LCwvDx8aFv37507NgRZ2dngoKCSEtLIzQ0lEuXLvHcc89x7949Ll68iLu7O= /3798fKyoqjR4+yb98+GhsbGTt2LB4eHmzbto3Lly8zdepUZDIZ27dvJyIiAnt7e9LT0yUfgZqa= GkJDQ9myZQvt27dn/fr12Nvb07dvX6B50rlx4wazZ8/GxsaGsrIy6uvr+eyzz1Cr1ahUKkaNGiU= JFoWFhRw6dIiKigpCQkKoq6sjJSWFhIQEnJ2duXz5MsXFxahUKkpLS2lsbCQoKIjHHntMWt2fPn= 2as2fP4u3tTd++fTGZTOzbt4+8vDwSExMZOnQooihy5coVPDw86NmzJ7GxsRw8eBArKyvu3buHR= qPBaDTSu3dv2rVrx9dff03btm25dOkSQ4cOJS4ujsTERAYMGICbmxulpaUcP36cmJgY2rVrx7Fj= x6ipqaG+vp6zZ8/i7u6OWq3m4sWLFBQUcPfuXWxtbdHpdJw+fZru3buj0+kIDw+nurqa8PBwEhM= TmTlzJnfu3CE0NJSUlBRCQ0Px8fEhPDycpKQkevbsyXvvvYerqysGg0ESvKKiooiPj6empgaNRs= ONGzfo168f6enp3L17l/z8fKKionj55Ze5du0aP/zwA7169eLYsWOSJiwgIAClUkllZaUk/F67d= g1fX18iIiLIz88nJSWFsLAwRo0aBTRr+nQ6HVZWVpSXl6NQKLh//z5yuZzk5GSys7Pp2bOn9D0W= Fxdz9OhR7OzsuHv3Lrdv38bHx4eBAwcSExPDvn37cHd3R6/XExgYiIuLCzqdjqioKNq2bcuVK1c= oLi5m3rx5QHNUoV6vJzc3l/DwcLRaLdXV1fj4+EjPp9frGThwIF9++SXZ2dmMHj2aTp06sX//fs= LCwrCyskKj0WBnZ4eNjQ3+/v7Y2NgQHR3Nxo0bGTJkiKSFq6+v58iRI2RnZxMdHY1cLmfixIlSp= FtwcDBpaWm88MIL3Lp1i3v37hEeHo5SqaRz584A3L17l7179wJIviNBQUHEx8cTFRWFIAh06dIF= gLq6Og4ePEh9fb1kYhs/frw0f2VkZHDv3j369euHnZ0d4eHhxMfHk5aWxpw5cwgKCuL27dv07Nk= Tf39/NBoNCxcu5OrVqyQkJBAWFoaNjQ1JSUno9XoqKyuJiIhAr9dz9+5dHBwc6Nu3L+fOncPCwo= Lc3FxiY2MZPHiwFMnn7OzMzp07KS0tJTg4GJVusl1QAAAgAElEQVRKxcGDB1EqlSQnJ3P9+nUGD= BhA9+7dpXfWUp6rqytTp07l+PHjpKamEh0dzcKFC3FxcSEgIEDqZ0EQWLRokWRSiY2NpVevXpSU= lHD8+HE6dOhA3759iY2NlfqpvLycO3fuoNFoyMnJoXv37pLAlZOTw8WLF0lJSSEyMhKj0cixY8d= QKBSMGTOG06dPEx8fT3BwMB4eHpSXlxMcHCz9hnh6enLlyhWysrKIj48nNDSUsWPH4u3tzY0bNw= gNDUWj0eDl5UWHDh04dOgQtra2xMfHc+HCBTw8PAgPDyclJYUxY8YQFRVFZGQksbGxGI1G2rZtK= 32bOTk5DB8+vJWWvcUnTaFQSH6bU6dO5dy5cyQkJHDv3j1qamo4f/485eXlNDY24u/vj4ODA507= d5aePTw8nK5du/6s9eCX8Mjy3IgP/WzK9QY+9o/CP7wUA1aYhEZclU28OLE3c4Z1xFb50FlYBBk= mjKKM/Kp6vrwQw/HQAoxyFY5KI8+O8GLReG8O30ji0M1Mqg2WCLJmzxqZwYicRsb3d+EvzwzG3d= oCQdZimvrjCDctJCQkSJO4Wq3mscce4+bNm9L5lg/j71Gr1bRt25acnBxJCGpZ3UZFReHj4yNJ4= ElJSa3s9uPHj5d+vAA6d+5MRkYGnp6e+Pr6UlBQQExMDABeXl74+voCzeHkRUVFrdrRv39/PD09= yc/PR6PR0NjYKPn0tKxIfnyfIAj4+PiQk5ODTqeTzFZubm5ERERIoefe3t506tSJCxcuYGtrK/k= etTjLWVpaYjAYfrL6srKywsfHh7Vr17J+/XoGDBggnWvpB0dHR/r27YvBYCAxMZHy8nJ69uxJly= 5dpNV4TU0Nt2/fllaWXbp0IT4+HrlcjoODAzqdTgrh12g00srG09OT/v37A0gq4i5dukgC4qVLl= wDw9fXFy8uLpqYm4uPj8fT0xM3NjZycHOLj43FycsLV1ZWCggKqqqoYPXo0FhYWBAUF4eHhgUql= IjMzU1ot9+3bFw8PD6qqqoiNjUWn09GlSxfS09NRKpXY2tpSWlpKmzZtaN++PdHR0UCzWaBHjx5= kZWVRWFiIl5cXNjY2aLVabGxsMJlM6PV6Ro8eTVlZGfHx8Tg4OFBZWcnIkSOJjIxEr9fz+OOPo9= VqqayspHv37nTv3p2MjAzJPDR69GgSExMpLi6mb9++HD58mKqqKoYNG0bnzp3p0aMH9+/fp6Skh= N69e5OYmCitKqurq5HJZLi5uZGfn0/Xrl2pqKigrKwMpVIpaSdaxqNarebOnTvY2trStWtXSUBs= MbXW1dURFhbG66+/Lo2NqqoqwsLCcHBwQK/Xo9fradeuHd7e3uTk5KDVanFwcACgsrISlUqFUql= Ep9NhbW0tpVF44oknsLCwkHxZRowYQUlJibTiHTlyJGq1WnrWIUOGEB4eDjQ72nfo0IHs7Gzi4+= NxdnZGp9Mhl8vx8vIiNTUVKysrXF1dOXToEFOnTpWc8RsaGoiOjqa0tJSbN2/S0NDA559/zu3bt= 6mursbKygpPT0+6desmCQIAkyZNklbPZWVlpKenU1xcTMeOHenVqxdFRUVERUVhYWHBkCFDpD4o= Ly/nySefZPfu3ZSXl+Pt7Y2Xlxe5ubnExMRgY2ODIAiMGjWKqqoqYmJiqKqqYtCgQdjb2xMXF0d= JSYnkmN3Q0MCYMWMoKSlBo9EAMHbsWHQ6HZGRkT95zy1zVXZ2tjRWGhsb8fX1baXtCAkJoaKigv= bt20vj2tnZmYaGBmpqavDw8JBMZPn5+WRkZFBZWSnNa8nJyaSmpuLg4MDw4cPRarXs3buXxx57D= Ht7e4YMGYKzszNpaWkkJSVJc1VOTg7Z2dm4uroycOBACgoKiI2NpW3bttL3ZzAY6NGjhyQwAlRX= VxMTE4NOp6N9+/Y4OjoSFxeHlZUVo0ePJiUlhfT0dACmTJlCUVERcXFxNDQ00LNnT1xdXYmJiaG= 6ulqakx577DHc3NwoLCzk/v37AEyePJkHDx4QHx+Pu7s7NTU16PV6nJycqKurk5yQS0pKSEtLQy= aTMWTIEOzs7AgNDaWqqgp3d/dWvpTwt9+zTp06kZmZia2tLY899hjFxcXEx8djaWlJnz59iIyMx= MbGBktLS0mrO3DgQGk+dnFxYejQofxaHo1wIz78SzARkl7O+q9DKamzQBRMWAgGlo7uyJ8n9sba= EkRBjpxmKxMIGIVm21iVwcR7h+5w/l4xRrk1KlMNy8d1YsGk/nx9OY6DP2RRJ9gie2iAEhBQGWp= 4aWJXXpzYB5VMjvDHlG3MPGIaGhrYtWsXHTp0YPbs2T/rEG3mv0+Lo/vy5ct/97oXLFjAk08+ye= LFi3/3uh8F+/fvR6fTsXr16p81CRw6dIiwsDA+//zz36wNLcJNZGTkb1bH/0a0Wi2HDh1i5cqVt= G3b9r/dHDP/gEfjUCy0rJzlRKWXUqE3gUyGzGhkYGcbnhnRFZuHgo2sxfn3oSQiF0yYkGGrkPOX= RSOwsIzg0r18nG1UdG7vioNKwZI/eVNaVce5+2UIcgUmmQJBNNEo2HDpXgGP9/BkYFdXyTRl5v9= vlEol69at+283w8w/ISwsjLNnz9K5c2dGjRrVyjz0e9ASxv5H5Z+FhhcWFrJr1y7UajWhoaE8/v= jjv0kbTpw4gUKhYO7cuRw/fvw3qeN/GyaTiTNnznDt2jW6dOnC0qVL/9tNMvMPeHTbL4giCALrv= w/jTHgRgkKFzFjNOwv6M29oJ+SIiKIM4eHel80mpOawcRMyBFNz9uHsqnrO3U6gSztXxvdrj4Uo= IAgiySW1vPZlMEllAsjlyDFgMilQ0sDike1YOcUXa+UjS9tjxowZM2bMmPmD8kiipUT+tlm3wSg= +NFPJsBSN9OnohFwEk2jCKDTvLSU8zE3TcpPQnKgGEGlvr2TJk30Z5+uBpdjYLAKJAt3dbJg4tA= OiqaHZAiaKCIJIvSjnbnIxRdXNUS6PSlb7/42tW7dKOSn+nlmzZrVamW3evBk/P79W0Ve/JyaTi= XPnznHp0iVKSkpYuHDhL7rvxIkTBAYG/up6P/300/8ovfuWLVuYNGlSq60qfktaHK9b2Lp1689G= dP0z6urq2LVr129qerh48SIzZ85kzpw5raLbfo7Q0FCOHz9OY2Pjf1Tn7NmzKS0t/Y/KMPPPKSw= sbOXT9GPS0tL4/vvvpRwucXFxbNy4kbKysn9Zrk6n45tvvvnJNiG/JWfPnv2XW3lkZGTg5+f3O7= Xob9TW1rJx40auXLnS6vidO3fYvXv3796e/y08EuHmoVwCgIejFQqZiAkTiAaMJhFREEBQIAoiC= H+/n4UgCTdGmRyQY21pgaXcAkFQgiDDJMgQEHjCpx3OKhkyUcQkyh4m75OTXd5IXvmv25PETDOx= sbGS4+ffc/36dTIyMgAoKioiMjKSHTt2YGtr+5u3a9u2bT85JpPJmDJlipS588dJyP4Zs2bNYty= 4cb+qHWfOnGHr1q2/aPL9OQICAjAajRw/fpzIyEiSk5N/VTn/Dq+++iqDBg0CmiOBunTpwsqVK/= +tMjQaDa+88spvJgikpaVx584d/vrXv1JbW0twcPA/vX7IkCHMnj27Vajzv8vq1avx9/f/1fsY/= R7U1dVx4cKFnzjv/zNCQkKIior6DVv17+Hu7s577733s+e6dOnC/PnzsbW1xWg00tDQwKJFi36S= 7+vn2LZtG/v27ZPSZ/zW6HQ6XFxcfnafs6amJvbs2QNAp06d2LFjx+/Sph+TnJzM/PnzpWzFLVn= Lhw0b9h/tzfZH55GFgjcLKCL1JhmhCbnUGWUYAEcrgb6d3VDKZMgEIwLG5rBuQBAebtQgCg+dPk= VpRwVBkDUfE0QERGRAXZOcS+G5VDeIIGuOulIgYDKZeKybC73b2T8s94/jeVNbW4tGoyErKwsLC= wtsbGzIzMxEq9VKqdctLS0JDw9HoVAQFxeHSqWioKCArKwsKU9BYWEhcXFxFBYW4uLi0iqPRmRk= JLm5udTU1EgJ2fLz88nMzMTGxga9Xk+XLl0YN24cSqWS6OhocnJyaGhooLq6mqeffpohQ4bg6Oh= IbGwsw4cPp7KyEicnJ7KyskhKSqKuro709HTq6+t/MkFVVVURGRlJSUkJ9vb2UrbU1NRUamtrcX= FxoaamhsLCQoqKikhNTUUul3P9+nWOHz9Oz549sbCwICcnh8zMTARBQK/X09TUxNy5c/n666+ZM= WMGWq0We3t7CgsLycnJQaVSodFoKCwsxMPDg5ycHARBQC6Xk5aWRk5OjhQd0EJERATZ2dnU1dVh= b28vOWv26tWLpKQk+vbt2yqCoiUL9D+jqqqK06dPU1VVhZubG2vWrKG0tJS0tDT0ej0uLi4UFRV= RWFhISkoKBoMBnU5HTU0NCQkJiKJIcXExycnJuLm5YTQaSU5OJi0tDZ1Oh5ubG3V1dcTExPDgwQ= NkMhm2trYkJCRI0QgajQZra2vKyspwcnKiqamJxMREZDIZsbGxqNVqKS9MCzExMdTU1GAwGPD19= aVr164kJSWRkpKCQqFoJdzW1tYSHx9PbW0tSUlJODg4YGlpSXx8PIWFhVJ/tmzRoVQqsbKy4tat= W0RGRuLu7s6GDRtQq9VotVqMRiP29vbk5uZSWFhIdXU1jo6OlJaWotPpsLW1pby8XHrmltDf3Nx= cqqqqSEpKoqGhAScnJ3Jzc0lISKCwsBAbGxtmzJjBp59+ip+fHyqVisTERNLT05HJZNjZ2aHVai= kpKcFkMkk5dqA5C3dGRgZJSUnSe6+oqCAhIYGsrCypT5KTk7GwsECj0aDX62lsbJSif+zt7dFqt= ZhMJinCxd7eHpPJRGRkJNnZ2bi4uBASEsKOHTvo3bs3bdu2RavVShErtra2ZGVlUV1dTUZGhhTm= v3PnTqqqqujZsycNDQ1ERUVRXl6Oq6srDQ0NxMfHYzAYpJwnLTQ0NBAREUFBQQG2trYolUoyMjL= QarVUVFTg7u5ObW0t+fn5lJSUkJycjJWVlZSHSBRFIiMjKSoqwsHBgZycHPLy8rC0tCQvL08KfU= 5KSsJgMKBSqaitraW0tBQbGxuampqk3FXW1tZYWVmRn59PVVUVKSkpFBQUtHLc9fX1JS8vD1dXV= 4qLizGZTNK17u7uJCQkUFZWhr29vZQzLDU1Fb1eL/W7IAjY2dlJc215eTn29vbU19eTkZGBTqcj= KSmJ9u3bYzAYaGhokFIcxMXFUV9fjyiK7N+/nytXrkgpHfLy8qQUAS1h3tbW1giCQGxsLFlZWdT= V1eHs7CyNqZZ36+rqik6nIzk5GRsbG+kdNTU1SfNNY2OjlCursLCQ3NxcXFxcMJlMNDY2snnzZp= qamvDx8ZHmEDs7O3JyckhMTKSsrAxHR0f0ej3R0dHk5eVJY+rHaDQaKbq2vr6etLQ0KioqUCqVx= MbGSnmlWso1GAw4Ojq2KiMqKgqdTodCocDS0lKK6qqtrZUiEiMjI6VktS1h8BUVFdI39HPbpPxS= HomTiig2xy9V6Ovp6eXAKN+2nLtfTKPMmkv3HtCljT2T+nfEyqI57Z4AzVqch3FPICCIIBNajog= gCj/yzWkWVgorqqmqa0QULJAhIgogmkSMQNXf7Wb9R6C+vp7Tp0+j0WikUNfVq1dz+vRpKa+Dt7= c3arWal156idWrV5Oeno61tTU9e/YkMjJSivr47LPPkMlkZGZmMmrUqFYS+969ezl48CAzZ84kL= i6Ojh074uvry/nz59m4cSPe3t7MmzePUaNGMWvWLD766CP69++PSqVi8ODBLF68mBdeeIGXX36Z= N954g8cff5zQ0FDWrl1LSUkJK1euZNy4ccjlcgwGA1euXJF+EGpqali3bh1ubm5oNBqWL19Ou3b= tOHr0KDKZDK1Wy7p167h79y4XLlxg2LBhJCUlSZNFQUEBFy5coKysjNTUVAYOHMjAgQM5ePAg8+= bNY/jw4ej1eo4ePUpERATDhg2jZ8+eHDx4kPXr13P06FEuXLjA1atXWblyJX5+flRUVLB3714GD= x7MyJEjpczNycnJvPbaawwaNIj6+npef/31VsnGWkhPT+e9997Dy8sLf39/KaTxH1FRUYFWq0Wn= 03H58mWMRiOXLl2SJryVK1dy5swZiouL6dOnD7W1tdy/f58RI0ZQXFxMVlYWjz/+OOfPn+fjjz/= Gzs6OPXv24OrqSnBwMGfOnOH8+fNkZmZSX18v7bfz0ksvceLECezt7bl8+TKNjY3k5+czbNgw9H= o927dvZ9WqVYSFhTF79mwWLlwovbcffviBw4cP4+TkJG1XEB4eLjni1tbW8vXXXyMIgpQr6OOPP= +bVV18lLCyMiRMnYmdnx4cffsikSZMYPXo0d+/e5d69e9KPxQcffEBcXBxpaWlcu3YNFxcXDh8+= jK2tLRqNho8++kgyh0ZFRUnvtFevXrz22mvStgJpaWkMHjyYwYMH88477+Dj44MgCKSkpHDq1Ck= +/vhjLC0tpVxQLRFSRqORq1evEhwcjFKppKioCD8/P86cOYOlpSX5+fls2bJFEn7j4uL4/vvvUa= vVkomzJWcINIeHP/XUU7z99tsMHDgQS0tLsrOzGTBgAIWFhTQ1NbFs2TL+/Oc/88QTT6BQKCgoK= OCTTz7h5s2bREREUF5ezsiRIykqKiIvL4+YmBj0ej0BAQFSIrxp06bxl7/8hR49emBra0t6ejrv= vvsuKSkpVFVVMWXKFClXTUFBAS+++KK0H1BNTQ0LFixotZ/Spk2bqK2tJTc3l5kzZzJy5Ei++eY= bBEEgOTmZpUuXkpaWxqlTpxg2bBjJycmMHj1a2krEZDJx6NAhysvL+eijj4iLiyMqKgq1Ws3t27= c5f/48V65cISoqiszMTLZu3cqpU6coKSlh06ZNUr6uhoYGKdvuunXrcHFxoVOnTpw9e5bg4OBWi= 5D8/HwCAgKorq5GEASmT5/Oli1buHz5MhcvXiQiIoIlS5awceNG+vfvj62tLRkZGQwfPlwKT37j= jTd47rnneOKJJ0hNTWXlypWcOHGC0NBQZs2axYkTJ7h8+TJpaWns3LmTLVu2EBMTQ1RUFMXFxTz= //POEh4e32s4kLy+PAwcOcOzYMbKyssjNzaVHjx4MGTKE7777Dg8PD0pLS/n0009xdHSkqamJS5= cuceXKFQ4ePEhhYSHffvstGzZswNbWVkpgGhgYiEqlIiQkhD//+c988MEHPPXUU9jY2NDY2EhFR= QXTp08nJSWFsrIy7t+/zxdffMHjjz/O3Llz+e677zAYDGi1WtasWUNsbCyRkZGoVCratm3L66+/= LglT9+7d48CBA1Ly2I4dO5KSkkJqaiq7du3i9ddf59lnn2Xs2LHs3LkTOzs7EhMT2bVrl5QlPj0= 9nT179qBWq+nevTsTJkzg448/xsnJiezsbNauXUtUVBTXr1+nrq6OZ555BoDPP/+cJ554ggcPHt= CrV6+fbEv07/CrhJsWkUQUH+adAdKLa/ji3F3GDe3NvDHdySvWEZJRy4MqGV9d0mJpIWdS/47Nv= jIyEZnYrLERZS3amebNL5uNVOJDv5rmwkXAJAhEJOdQ1dSEoLAETIjIMMoEFKJJSrz2R6K0tJSs= rCxWrFiBq6srSUlJBAYG4u3tzbRp00hKSuLgwYMMHz4cuVzOU089RVFREcePH2fp0qWo1WqKi4u= 5fv06NjY2vPnmmxQWFjJx4sRWws2UKVM4evQoTz75JIIgEBQUxNatW7lz5w6pqanMmDFDSsFva2= tLWVkZlpaWrFq1SsqW29TUhL+/PzU1NWzevJnVq1dz6tQpVqxYgUwmw9fXl3bt2rFr165Wz5iQk= EBRURF79+6V8q288847LF++nMceewx/f3++/PJLJk+ejKenJ88995y0Mdzzzz9PdHQ0b7/9Nnv2= 7EGhUPDGG29gMBha5QGysrJi6dKlzJo1S0o0FxISglqtZsGCBVy4cAEHBwecnZ2lrMkdOnTAz89= PSt4FzSn/9+3bx44dO0hNTUWn0/3se2vbti1+fn4cOXKE1NRUqqqq/qlw06FDByZPnkx1dTUrVq= zg448/Zs6cOfTr1w9/f3/8/f1xd3enTZs2bNq0iR9++IG8vDymTJmCQqFgzZo1PP/889IK7plnn= mHVqlVs27aN/Px8tFotqamprF+/XtIctOzxYjAYuHXrFgMGDJCSMx44cIAuXbpgbW3NzJkzpVxJ= LdmC9Xo9O3fu5JNPPsHOzo7c3FygeeIJDw/H3d2d2NhYNm/ejKenJwqFgs6dO2NlZcULL7zA5Mm= Teeedd9i4cSNt2rThxRdfxNnZmcmTJ3Pnzh2MRiMbNmwgJiaGmTNnYjQaWbNmDYcOHeLMmTP06N= GDsLAwoqOjpazNr7zyChYWFpKwGRoaSk1NDZ9//jmlpaVMnTqVQYMG0a5dO0aPHk3//v2ZMGECd= XV1LFu2DK1Wy4cffthqC5IWoSEiIgIXFxdycnIYMWIEaWlpjBgxggkTJrRa0UZFRTF48GDmz5/P= mDFjKC0tJS8vj9deew0HBwe2b99OTk4OdnZ29OnTh/Hjx/P+++8zcuRIfHx8mD9/Pvb29tja2jJ= kyBDmzZvHG2+8QWxsLOvWraNDhw4YjUbi4uK4ceMGaWlpzJ07lxUrVki5WVJTU3nmmWdwd3dn6N= ChDB06lKlTp9K7d2/GjRsn5XT66quvGDRokKQ5+dOf/kR+fj7z5s2TklpC81YqwcHB3LhxQ0pEe= eDAAQYPHsz06dMJDw9n9erVvPHGG7Rt25YFCxYQHx8v7TUGzZlo/fz8uHXrFkqlEicnJ1577TVu= 3bpFREQEJpOJ/Px8GhsbeeGFF2jbti2enp7odDpKSkr49ttvCQwMxGAwsHbtWrRaLV5eXnTt2pW= 1a9dy9epVsrKyWgk3arWaGTNmoFKpWLFiBe+//z6dOnUCmvflS0hIwM3NDQcHBwYMGMDIkSNZv3= 49kyZNkvrHaDSyefNmcnNzpY05e/fuTUZGBi+++CLJyclERkbSuXNnSSuh0+nIz89n/vz5DB48G= JlMxpEjR5g9ezaVlZXk5eWRm5tLWVkZr776KjKZjLy8PJycnNi2bRsLFy7E0tJS0qCoVCr8/Px4= 8OABBoMBmUzGiy++KOXpqa+vR6PRMHXqVEaNGsXt27eRyWS4uLiwbNky2rdvz7Fjx9BoNDz++OO= MHz+enj178thjjxEQEAA0mys7dOgg7YfVkiepJRWCyWSivr4epVKJXq/H39+fWbNmMXr0aDZt2o= QoikyePJmdO3fSsWNHKa/NpUuXOHPmDD179iQiIoLo6GhJuGlqaiIqKoqXXnqJMWPGEB4ezpEjR= xg0aBBJSUkMGzaMsWPH4ubmxpYtW9BqtUyYMAF3d3dmzpxJcXEx+/bt+4dz6i/h3/O5EaUtMpt3= 5X64fWVWRS1bT4ZxMaaWvx6NRldVx4ZnB9PTxYRoNJFRBlsPR/BDUj6CTCbFSImCCUEUH+pymhs= j7VHV8g+xec/vgppGAsOzQKaSzFmi6WHqcxn/j73zDo+qTPv/58wkk5n03kM6IXRC74ggKogga0= XhpyjosthW1rUgiii6r7CAiHVpiqKIiEqXAKGkJ6SQ3id10jOTMplyfn+Eeda8uvuuu66+7pvvd= Xldkjkz55kzp9zPfd/P94OPm9OvDr9gNpvp6upClmWcnJwYO3YsXV1d4qHq6uqKk5MTw4cPx87O= TiyX9fPzw9fXV5SeWlpaRHOvv7//D9ai7e3tReperVYLTo3ZbO7XhD1x4kQBg3zppZdEX4LVahW= zJEBcCDZYo5+fnyh3fVe28hH01dmDg4Opq6sTmIPw8HDa29uJiIggPDxcjNH2uYBAFHh6eorUv8= 1R1fZ6QEAAXl5ef7Nm7+XlhZ+fH5IkERUVhY+PTz/LcegjE0+YMEGU4f6WbAygBx988HvW6v+TZ= FkWxGno4xTJskxwcDD+/v4oFAqCgoIICwsTAae7uzve3t5iZpWbm8uDDz7Iq6++iq+vLyaTie7u= bmRZRqPRMHr0aKKjo3FxcUGWZRoaGujq6kKSJDw8PHBxcSE8PBwXFxdxTtl+I+g7J9ra2vD19cX= e3l484FtbW9mxYwfnzp2jtbVV3Mjs7OyIjY1Fo9Hg5+eHh4cHvb29jBo1SpzDRqNRkNw1Go0wG/= yujEYj69at4+TJk7S3t3P77bfz9ttvo9FomD9/PiqVSjg/NzU1iXPeVob18PAQx02pVCLLMnq9n= meeeYbc3FzWrl3bb39WqxU/Pz927tzJyZMnKSgo4L777mP//v309PTw0EMP9TufDQaDAKva6PXN= zc1YLBYkSSIwMBAPDw88PT2Ji4tDpVLh6OhISEiIKPkFBQXh4eFBTEwMDg4OuLm50dnZicVi4au= vviI1NZXs7Ox+42xra2PPnj2cP3+e2tpaJk+eTEhICKGhoWg0mu8hQ9rb25k+fTrx8fEUFhayff= t2brnlFl5++WVef/118dCDvuvTVm4ICgoiPDxcnC/QZ+DZ0tJCREQEoaGh+Pn5id/quwoODsZgM= KDT6WhsbMTd3V2Mz97ent///vcsXLiQhx56iNzcXMLDw4XBXGFhoThWtvJTVFQUERERqFQqZFnu= d35CX3nPz88PhULxvbHYFBQUhLe3NzExMWg0GhwcHBg8eLDIgKlUKm655Raqqqr4zW9+g4ODA2P= HjsXLy0vgTHp6esT9FuCRRx7h+eef56WXXuoX4Gk0GmHSaTKZxH3dy8uLkSNHcvnyZcaMGcMXX3= zR794FfzVujY+PJykpqV/waTPQtBmVTp8+ncjISPz8/HBzc8Pe3p5BgwZ9r6RsY+PZvoPtPh4ZG= UlgYCAff/wxixYt4s033+wXwJvNZnp6esRk7e/1tnV2dvLss89y8uRJWltbBRcOYMiQIVy4cIH8= /Hz+9Kc/UV9fz6pVqzh58iSVlS5tlvQAACAASURBVJU8/PDDfPjhh+zbt4/ly5fj6OhIdHQ0ISE= hBAYGCsftf0U/KnMjSxZAiUJWXMuuWClv7mT711lcKuoCO2dqDRY2f57BE78Zw59WXc+rHyWRqe= 1BZ9Tw7K7LPH9XHHNGDEJtJ9lilx/aU1/aRlYCEp1mOJBwlaImKwp7FRK9yLICpdw3Bg9XBX4eD= mJx+a9FtlrpwYMHmThxIo2NjURFRQnLbp1OR3R0NA0NDWJGV1NTI6zmS0pKcHBw4J577uHdd9/l= yJEjAKxZs6bffkpKSjCZTJSVlaHX64WTqW0W0tDQQEdHB+3t7WzduhUPDw9Wr17NuXPnBNSxs7O= TqVOnCsv00tJS5s2bh8ViQZZl6uvr8fLywmq1UlxcLC70UaNGUVFRwZ49e/Dx8cHOzo577rlHlD= Ryc3N5/PHHqayspLKykoqKCgoLC0VvhV6vJyEhgZycHCorK2lvb0etVlNWVobZbAb6bsAJCQmkp= KSwYsUKcWFcvHgRnU5Hc3Mz7733HjqdjtzcXJycnKipqaGhoYGQkBARsGVkZPDoo49iMpmor6+n= pqaGESNGIEkSjY2NNDc3k5WVha+vL5MmTaKzsxO1Wk1+fv7fNfNqb2+ntLSUjo4OMSs9fPgwPT0= 9FBQUiBmy7Teoq6tDq9UKp9eWlhZyc3Opqamho6ODnp4ebrrpJrRarbiRKhQKdu3axcSJE+no6C= AoKAiDwSBKeQcPHsTT05POzk68vLzo7e3FYDCQk5ODVqulsrJSQELd3NyEw/OCBQsoKCjggw8+4= J577mHTpk2o1WqysrJYsmRJv+9dU1PD0aNHKS4uZuHCheTm5orsxvjx41m4cCEvv/wyM2fOpKKi= gj/84Q8cOnSIqqoqMjIymDFjBps2bcLHxweDwYCHhwfx8fHcdNNNLFiwgOzsbEpLS6mrq+P2229= ny5YtfPzxx3h4eDBz5kxUKpXo99BqtXR3d3P58mUGDRrElClTSE9Pp76+XljaV1RUEBAQwN69ez= EajeI66OzsFKWktrY2kS0aMmQI+/fvx8vLi46ODtzd3TEYDBw7doywsDC6urqIiYmhra2NrKwse= nt7qauro7y8nNLSUtra2gTb6fjx4+Kcmjx5Mvfddx8bN27kzjvvJCEhgVWrVtHZ2Ul2djZ33HEH= a9euZePGjWRkZDB37lxqa2sFt8vmcG27npYtW0Z3dzfbtm1j3LhxJCcni76bZcuW9QvYhg4dipu= bG1u2bGHcuHHU1tayaNEi/vSnPxEcHExlZSUbNmygoqICrVZLRUWF6FHR6XTioe/o6EhwcDC7d+= /m3nvvxWw2o9Vq0el05OXlcezYMcLDw7nvvvuoqqqit7eXyspKHB0dmT17Nq+99hpTpkyhqqqKN= WvW8Nxzz6FUKsnJyUGv11NVVUVcXBz29vZotVpxzlZXV9Pd3U1dXR16vZ6LFy9SUVHBqVOnGD9+= PE1NTRQWFmK1Wmlububq1asUFxdTU1PDmTNnGDVqFFOmTGHXrl1kZ2fj4OBAa2srOTk5ok8oKip= KfPedO3cye/Zs7rjjDoxGoyh35uTkUFhYKBYc1NbWcvLkSYKCgmhpaSExMZHnnnuO5ORkmpubqa= urIyIiQpSBFyxYwB133CEySzZpNBoCAwM5fPiw+A5Wq5XGxkaBb6murqayshKdTockSeTl5VFUV= ER5eTmyLDN+/HjeffddYmJiRCB45coV3n77bXJycmhoaBA9ShqNBm9vb/bs2SMm2p6enri7u5OT= k8OpU6fIy8sTGJ7169fj7+9PV1cXgwYNYsaMGeL8Tk5OZurUqeTn5zNp0iTWrFnDJ598glqtxsX= FhdTUVJYtW0ZJSQm1tbUkJSVRU1NDeXk5BQUFdHR0UFNT8w8BkX9IP6qhWEJGkm02fBJWSeIvx7= I4nNSASeGIrJCwKKCp00yRtoWRYW7MHBNCbWMLtS0m9CY1RVU1BHk6EOrrgUJxrd/mew3A1/psJ= BmzbOV8YR1/OVGA3tTXmKUAkKxYkJBkExMiXVk4MQxH+75Y7dfSUKxSqRg8eDBFRUUUFhYSFBTE= 4sWLcXZ25uLFiyiVSm6++WZSU1PFiens7CyAY21tbbi5uTF79mymTJlCQkICVquV5cuX92sYTE5= OZsyYMTg6OhIeHs7QoUPR6/WEhYUREBAgZkBDhgxh8ODBeHl5kZeXJ8CEwcHBREREMHfuXPz8/L= hy5QqjR4/mvvvuo7S0lMGDBwu6dExMDGq1WpR7HB0dmTFjBomJidTW1nLDDTcwdepUjEYjaWlpD= Bs2jOuvv56srCxkWcbd3Z36+nrCw8NFqSMvLw+TyYSbmxtDhw5FlmUKCgrw8PBgwoQJjB8/nlOn= ThEYGMidd96JRqMRjaKhoaFMmTKFG264gfb2drq6ulCr1eJ7DRo0SJwvAQEB5OfnU1dXh5+fH+7= u7mKmZ2sy1uv1zJs3j5qaGoqLi5k/fz7d3d0Ct/BDsjUD29vbY7VaWbJkCU1NTWRmZjJs2DDi4u= JEWjo2Npb6+nrRaJ2fn09UVBRmsxmVSoWTkxOTJk0SN95Jkyah0WhYsmSJQEsEBATg4OCAo6MjF= ouF2267DehrLDeZTCxdupTs7GyCg4MxmUwCEBkTEyMyX+PGjaOkpITm5mZGjRrFww8/zMyZMwXv= atCgQUyePFkcO51OJx7yNmO3xMRE3N3dBQR10aJFnD9/nvLyclauXIm7uzuJiYnY29vT0dHBkiV= L8PLyIj09HavVyl133SWaqkeOHMm0adPIysrCwcGBWbNmMWvWLBISEmhra+Pxxx9Hq9XS3NyMj4= 8PRUVFjBo1iuDgYAICAsjKysLZ2RkvLy8aGhoE5+vee++lvb2d7OxsVCoV8+fPR6/Xk5qaSkRER= L+HTUBAAAqFgitXrtDU1MSDDz5IVFQUV65coaioSGxryxi5u7sjSRIuLi5kZmYyePBggoODuXDh= AqGhoVRXV3PTTTcxfPhwrrvuOoqLiyksLGTu3LkMGjQIvV5Pc3Mz9957L2q1mszMTCIjI7G3t8d= gMODm5iZYVSaTidGjR1NcXExAQAB33XUXqamplJeX88ADD6BWq6mqqqKpqYmVK1f2K6POmzePpK= QkysvLmTZtGlOmTMHT05NLly7h6+vL3XffTWZmJrIs4+bmRl1dHVFRUQQGBorgBvqyo1VVVdxyy= y0YjUYKCgoEQDIgIICSkhIsFovI3litViIjI1m2bBkJCQmUl5fz6KOPYrFYBO6gra2NwMBA3N3d= iY6OFs3xXV1deHh4oNVqGTVqlODT2fpI7rnnHkJDQ7Gzs0OpVIrMnsViQafT4e7uzpQpU7BarVR= XVxMQEEBnZyddXV1ER0fT1dWFl5cXZrNZ4AhcXV0ZNmwYOp2O7u5uFi1ahI+PDzU1NYL5FxISIo= wpbT1Gw4YNE9iGqqoqwsPD8fLyIjQ0VGR+1Wo16enprFy5EldXV3FMFQoF4eHhtLW1iYbwwYMHi= wzikCFDKC4uxmw2ExISQlBQEKWlpeIc8fHxYerUqfj5+Qm0zcyZM4mJieHixYt0dnYSGBgosnJK= pZKYmBgRlKalpTFkyBBuvfVW2traaG5uZvDgwTz55JPExcXh5+dHWloaZrNZMNUAAUgtKipi1qx= ZTJ48mXHjxpGUlERnZycLFy4kIiKCzMxMsZjBdt+1tUYMHjwYb29vgoOD/+Fn6nf140z8rm1plf= r6XSQrnM7V8vqhHCpaZBQKCYUkI8tKrLJMiKuRP9w+Fh93DVsOZpBc2kmot8wf74hjduwg+mKR7= 1fGZLmvqViWrOTWd7LpkzQyy3r6lopLMsgKZIWMCXBR9LJ2QTR3zojBXqFA8euIawY0oP8o5eTk= sGTJEkFGHtDf1i233MJzzz33L3FzBvSfJVvp8fHHH/+lhyIkyzKvvvoqnp6ePPLII7/0cH60flz= PjdQX3UhIKGRQyDKzhwfxxOLhBDj3lScUVjskqxJJUlLdpuKNTzLo6jLz7NLxxAUaeeK2McwePg= g7xd8GQcnIyJKFlh6ZHYeySCvpwSzZYVXIfYGVZAWrEkm2EuXjxOTYQFTKa306AxrQgH5Wtba2s= nLlSkpLS3nmmWd+6eH8r9Z7773HhQsXuPnmm3+Uh82A/jPV3d3NmjVrGDJkiMiw/m/RhQsXeOGF= F9i6dSv5+fm/9HB+tH5U5kbGiiQrQJKRhcOwlV4ZjqZVsOVIDnV6JZLCro8jJZuQrCYG+znw5JJ= RDA/1xF2tQoWMVQRKiu+VkcxWmZJGPVsPZXD2ajtWpQZJIV8LehTIshWFFRwlA0/eNoK7pg9GJV= mRpB/X3DmgAQ1oQAMa0ID+8/SjMjcSCmFHLEtgVQCSFZUEN48N5fe/GUOol4RkNSJhxiopsSjtK= WjoYcuhbHIrW68thVIAsi0RJKDiyDI9ZiuJhfVsOpDCmbwWzHZq4XcjXfPDQVYgWXqYO8qfG8cN= wk4hIzEQ2AxoQAMa0IAGNKB/2qG4L9BQcK15V5awU0iE+bvh7+lIcVkjbV19y7UVEkiSHS16K1c= KK3BxVRHq64aDXd+KK6sEMhIKSaK118qBC4W8fbyIq7UmFJIdSNcWikt9SAdZlpEsZsaGqXnmnk= kEujmIwGcACf7TaN26dXR3d/fzgBnQ31diYiLffvvt320s/u965plnsLOzIyws7Eft6+LFi5w9e= 5ahQ4f+6KXo/4gqKyt55513mDBhwo/+fIPBwDvvvCOWr//cys7O5ptvviE2NvZHe1+ZTCbef/99= 0tLSiIuL4+rVq9x222189dVXVFdXCyfvn1t33nknM2bM+JfcWhsbG9m3bx8BAQH9GlZ/Sf3lL3+= hrKyMqKgoPv74Y7q7u/s1j7799ttUV1cTGxv7C47y/642b95MTU0NISEhPPLII9x6662/9JB+lH= 4CtpSEpOgLcBwwc+MIXx5dPBJ/Jysylj7TPuyRFHZo9Uo2fpLBKwdSSatox2hVYLJK1Hf08HlyB= au2nuK/vsilpBWsOCBLqmtuxiYsmMEqozCbiPKS+f1d4wj1dABZgUKWrgVJA/pX9fXXX7N161Z0= Ot0vPZRfjWpqatiwYQPJyckAFBQUcOzYsb/7niNHjrB79+5/itk0bdo0li9f/i/xlf67ZFnmySe= fBPpMB//4xz/+w58vyzKbN28GwNnZmUcffVRYAfzcGjlyJCtWrPie78ffkizL7Ny5E6PRSHNzM7= GxsTz88MMoFApef/11du7cSW9vLxMnTmTu3Ln/5tF/X+vWrePLL7/8m14u/6h8fHx45JFH/umVJ= z+1rly5wvbt26msrESlUnHffff1a7BOTU1lx44dwkByQD+vzp49yx//+Efq6upwdXVl165dP+r9= H3zwAZWVlf+m0f1j+knYUjZjP4UkAQpC/FzxcFeRV9qA3gggIUsKrEqZHquaq9V6zqZXcTqzmiP= JWj6OL+Xr5Gq0HRKynRqlBJJCxtr3VmQUfQ3MVgtRPnY8ettIJkf6oZT6CON9hn/Wa6iGX5dsy0= 4LCgqwt7fH0dGR5ORk8vLyhJFaRUUFLS0tZGdno9PphD/Ot99+S2lpKU5OTri4uFBXV8fly5cpL= S0lKiqK3t5esrKyhCmYq6srWVlZwgDtu4Z3ZrOZvLw8LBYLjY2NxMTEMGLECDIyMsjJycFkMvVj= KJlMJq5evcqVK1dQKBQYDAaSkpIwGo1otVqKiopwcnIS/KLLly8L1g/AqVOnKC0tRa1W4+rqKnx= nbMypoKAgZFkmMTGRwsJCJEnC2dmZy5cvC98LLy8v7OzsMJvNZGRkYDAYMBgMaLVaqqqqcHBwID= k5maamJry9vYWVvY2LZZNWq6WgoECwZKqqqkhJSaGnpwdvb29qamooLCzEYDCgVCpJTEwU1vpXr= lwhKioKf39/9Ho9gwYN4uWXX6a3t5cRI0ZQXl5ORkYGTU1NYrxXr15FoVBQWFjI2LFjiY6OJjc3= l6ysLLFUtKOjg6SkJFQqFe3t7f1m23V1dcIoLTk5WbiB2tnZ0d3dzaVLlzCZTHh6enLmzBmsVit= Wq5WkpCS0Wi2enp6YzWYuXLgA9DUEf/HFFxw5coTY2FgcHR3FdgaDgUuXLlFUVERpaSkWiwWTyU= RqaipFRUU4ODiQkZHBtm3bCA0Nxd3dnerqanHsy8rK0Gg0NDY2kpaWhre3N6WlpWRmZlJZWUlwc= DC9vb0kJSUJPyXbd9VqteLvHh4enD59GrPZLDJCVquVkpIS0tLShKlgU1MT9fX1uLm50dXVxdmz= Z6muriYoKEgwcmpra8nOzkaj0Qi7fldXV6KiooS/zrlz5zhw4ABRUVH88Y9/pLOzUxjNpaamkpu= bK/bZ3NzMhQsXBB/Ozc2NsrIyioqKsFqtODg49GO9ZWRkkJ2djcFgwN/fn/T0dFQqFSkpKYJ1Zv= M/mT17Nnv37mX58uUolUrS09PJy8ujp6en3zLszs5OCgoKqKmpITs7Gzc3N8HT8vPzw2g0UlZWh= rOzM83NzWRkZCDLskBA1NfXC68pLy8v4uPjMZlMYun8pUuXqKqqwtPTs5/5ZVZWlmDf2TyYUlJS= kGUZT09P9Ho9586do7a2FhcXFzQaDSUlJeh0OvR6Pf7+/owbN46ysjIkSUKj0VBcXExzczNtbW0= EBQUxevRoMjIyyM3Npbu7WxgJ2lRRUUFycrJYflxZWUlNTQ0ODg4kJibS3t4ulqKnpaXR0NCAv7= +/yEra2FZ6vR6dToePjw+lpaWkpqZSV1fXD8EiyzJXr14Vx9nOzg6NRkNpaangP/n7+5OZmUlub= q74jauqqgT/qrKyEkmSyMjIoKGhAUdHR1JSUlCr1YKX5uLigqOjIwkJCRQUFODk5ERbWxtJSUl0= dXWh0Wi4dOkSFouF1tZWUlNTKS0tJTg4uN+5VlBQIPhnBoOB3t5eEhMT8fDwwNHRkdbWVhISEqi= uriYsLEw8B9ra2nBycsLb25uRI0eSnZ1NYGAgra2tJCYmUlRUhIuLC/b29pSWltLV1UVycrKYJK= xatYro6Gj8/Pyoq6sTDKnvZqnNZrPwMWpubqa2tlYwAW1+QH/PP+x/0k8S3AgzYQlAgZ0EEQEuB= Hs5U1jZRGu3uc8tUJKQFEokpYJui0x9Ry/17SY6jGBVqpCUdtfAmXJfwCQpUWBFYQGL1UKEt8Sa= W0cyc1gwauU13x3owzdIf3v11f9WdXd38+mnn5KZmUl+fj5nzpzBy8uLt99+G5PJJG66L730Eke= OHEGWZT799FMGDRokjNXKysrQarWMGTOGbdu2UVFRwfvvv8/w4cMpLCzk6NGjtLe3s3//fnx8fI= Qx365du/r5EmRkZLBv3z5aWlqIj49n6tSptLe3c+jQIfR6PUeOHGHEiBEiKEhKSuLTTz9Fr9ezd= etWQkNDef311wU1vK6ujpaWFtasWUNbWxuVlZUcP36cuLg4Dh8+TFZWFmVlZRw5coQpU6awYsUK= vvrqKxQKBVu2bOG6664jISGBM2fO0NzczNmzZyksLOS3v/0t/v7+WCwW4XtRVVXF7t27yc7OprC= wELPZzK5duxgxYgQfffQRBw4cIC4ujpMnT1JUVMThw4dFilWr1fLggw9y6dIl4XS8efNmenp6+P= TTTxk5ciT79++nqqqKAwcOMHXqVF577TUUCgVms5lbbrmFO++8k46ODmprawkICODrr78WsMlly= 5bh6urKoUOHGDFiBLW1tezZs0fcVK677jokSeLgwYO0tLRw8OBBNBoN5eXlpKenk5GRQWlpqZjV= GgwG1qxZQ2NjI9XV1axYsYK2tjbS09MpLy8nIiKCbdu2ARAXF8dbb72Fk5MT8fHxVFVVCThjVVU= V+fn5pKSkCO5VRkYGISEhJCYm8sUXX7BgwQK++uorvvnmG6qqqnjppZeYOXMmZ8+eFUGvDbp56t= Qp/P390el0vPHGG0ycOJGUlBQ++OADJk2aREdHB59//jm+vr4cO3aMxsZGTpw4QUtLCx0dHSQnJ= wsm0cyZM4E+88k///nPKBQKxowZw9NPP01sbKyw2S8tLWX79u10dXWxceNGZs+ezc6dO8nIyGDa= tGlilceFCxcE8+zll1+mp6eHo0ePCm+StLQ0nJ2daWho4MMPP2T8+PGcO3eOxMRE4aT88MMPM37= 8eOrr68V5v3//fsaMGcPhw4cFnDM5OZnRo0ezceNGWltbOX/+PMOHD8fNrQ/qm5yczKeffkpLSw= unT5+mqamJp556iry8PKqqqkhNTWXSpEkCSgmwfft2li9fLvhaPT09bN26lTvvvFNk155//nk2b= dqEQqFg//79ZGZmUltby+7du1m8eDH79u3j448/ZurUqezcuZOGhgYRwLz44oscO3aMnp4edu7c= SWVlJYWFhVy+fJlJkybxzDPPoNVqOXv2LG5ubiIrl56ezgMPPEBGRoY4LnV1deTn53PixAlmzpz= J66+/TltbGxkZGSLgePPNN+ns7CQlJYXo6GisVivr168X/jLbt28Xk6WhQ4fi6urKyy+/THd3N9= u3b2fFihXi2Gi1WjZt2oTRaOTixYuUlJRgMBg4cOAAw4cP5/333+fYsWOMHz+ejz76CJ1Ox+nTp= 3FychIojurqavbv309xcTGfffYZkyZN4r333qO+vp4DBw70cwv/4osveOyxx2htbRX3URcXF9au= XUtnZyednZ3IssyZM2doamriww8/RKPR8NZbb3HgwAEsFgsHDx4kKysLvV7P+vXruf7669m0aRM= eHh5i+XVYWBjp6emcOHGC0tJSrl69ipeXF++++y5Go5HY2Fj27NmDq6srX3/9NUVFRRw4cIDo6G= gRQFy6dIlVq1ZRXFxMZWUlW7dupbu7m6+//hqr1cqYMWN44403KCoqIj4+HqVSKc5rvV4vUEAVF= RU8++yzrFq1isOHD3PkyBHy8vLIzc3FbDbz2GOPUV9fj06n4/PPPyckJITDhw8zaNAg1Go1R48e= pa6uTmBmbONrb2/nzTffpKysjPj4eBwcHNi9ezfDhw/nww8/5LPPPmPZsmX/9PP1JwFn9km+Rof= qg0FpFBLzRgdjp1Sy+VAWZa3mPuClbEYBmBV2SAoz0FcXl2QzCllClpXIkgIJGaXc50ArW42MGa= Rh7R3jGDPIAztFH5JBskrIir4gx3oN4vBrCm9sTpX333+/yNB4e3vz+uuvs3r1anQ6HUqlksjIS= FQqFU8//TR79+4lOTmZpUuXsmrVKl599VV6e3spKyujpaWFLVu28MADD6BUKtm2bRtHjhzBx8dH= cHOysrKYM2cOL730Ur+xfPnll0ybNo1bbrmFc+fO0dPTw8mTJzl8+DC+vr40NTWRm5sreg6+/vp= rPvvsMwIDA0lJSeH5559n8+bNPPPMM8ydO5c1a9ag1+vZvn07N910E1OnTuW5557jwoULvPnmm6= SmpmK1Wlm3bh0pKSnExcXR3d3NE088weXLl8nMzOTEiROkpaXh4uKCyWTioYcewtnZmQcffLAfg= dbOzk6A8ubMmYNKpeLixYt4eHhw4403UlBQgMViISUlhaVLl7Jw4ULxXg8PD0aPHo2XlxdPPfUU= u3fv5sCBA8TExFBUVMTChQtpbGzEzs6OJ554gtDQUKZPnw7A/Pnzv7fSb+LEiUybNo1x48YRFRX= FW2+9RVpaGpcuXaKzs5O3336b22+/nRtuuIFz586JcU2ZMoWbbrqJoqIiXnvtNSZNmsSpU6d47b= XX+s0cHRwcGDlyJLIsExcXh4eHB4sXL6a7u5t9+/YRGxvLbbfdhkajwc7Ojptvvhk3Nzc2btwI9= M3whw8fzqxZszh69Cjr168nNjaWsrIy0tLSePjhhzl+/LgoB9TX1zN16lTGjh3L+++/z7x58xgx= YgRpaWmsW7eOkSNHsnr1aiIjI3n66afJy8vj3LlzAMJl10bw3rhxI9988w0xMTHccccdaLVaXnn= lFTQaDWfOnGHt2rX9yllxcXGsXLlScK/mzp3bD/hoMxhbvXq14NIMHjwYrVZLfX09r732GhEREX= R0dNDc3MyaNWtIS0vjgQce4NixY5SWlrJ06VKqq6t56qmnyMzMFMH7U089xbfffsv999+PWq3Gz= 8+P3t5ekpOTWbhwIddddx0lJSXCNdrWp/b8889TUVFBeXk5VquVp59+ul+m4ciRIxw6dAgfHx+a= m5sZOnQo3t7ezJ49mzFjxrBjx46/aTs/duxYPDw8WL9+PZWVlXR1deHk5AQgDA5XrlyJ0Wikq6u= LVatWkZKSgsViYdiwYeTk5AB9uJb8/HyeffZZAgICuHjxIpIk8cADD3DmzBkmT55MbGws77//Pp= 2dnTz66KOUl5fz+OOPM2vWLDGe0NBQfH19mTVrFtOnT+eVV15hzpw5DB8+nNtvv53CwkIOHjwoK= NkjRowgKyuLCRMm8P/+3/+jubkZhUJBSEiIYCl98MEHjBs3jnvvvZfa2lokSSIkJIQnnniC3bt3= k5aW1u+YfPLJJ0RERPCHP/yBF198EbPZzKxZs8jKysLLy4v58+eLe+b+/fvx8PCgoaGBwMBA5s2= bB/RlEK5cucLixYtZvHgxaWlp7N69m6CgIKqrqzlx4gRTp04FYPTo0YSGhnLXXXcxevRo5s2bR0= dHB1FRUSxfvpyYmBg2b97MbbfdxvDhw/nmm284fvw44eHhBAYGsmrVKpGxsvHpnJ2dGT58OAqFg= uHDhwskii0D7ODggNFo5Le//S2PPPKIyA7Nnj2bG264gZEjR7Jnzx7KysqoqKgQxyYyMpKoqCjm= zJlDbGwsb731FocOHSIyMpLa2lpqamrYsmULYWFhtLa2Chf6SZMmcfvtt5OamopSqSQ6OlpkU6+= 77jrUajVvvPEGTU1N3HXXXURFRbFgwQJGjx7NokWLGD9+PD4+Pjz44INkZmbywQcfEBAQQGNjI8= eOHRPnkNlsJjMzibOFrwAAIABJREFUk7vvvpt77rkHjUbD5cuX8fT05KabbhLA3n9WP0HPTZ+sf= yVD9a2GkuxQSjB7RCCPLRlOsLsVq9UMsoRkdUBhtbv2nxJJBitgRoFFkjBLElZJgWw1obR2MXuE= B6+vmMakcC9UCgklfauj+kz9+vYnyb+uwAb6qMR6vR6TySTYJNnZ2cyYMYM//elPTJkyBVdXV/z= 8/ITrrKurKyaTia+++orNmzezYsUKPDw86O7uprm5GaVSKUBvXl5e7Nixg6SkJKqrq1m1ahX79+= +nurqaJUuW9Our0ev1ODo6Csy80WjEwcGBnTt3kpycTElJCQsWLBDbOzs7s2XLFhITEzGbzcyYM= QO1Ws2UKVN48cUXaWhowNfXF2dnZwYNGoRKpUKtVtPV1UVBQQEKhUJA9kwmk7j4bb0SRqMRV1dX= Pv/8c1JTU8nIyOD222/HwcGhX2ADfSDLI0eO8O233/L000/3e81WkhkxYgSHDh3i2LFjLFmyRPC= 0nJ2dCQ8Px9nZGYVCIQKsxMREcfG+8cYbTJs2jUWLFgmGk+2zAcGJ+u9SKpVMnz4do9EoPCxaWl= pwdHREpVKJm1Zzc7Pggfn6+iLLMkuWLOHs2bM89NBDbNq0SezTxpIBiIiIwMnJiZCQEBQKBb29v= UiSxNChQ6mvrycvLw8fHx/MZjM33ngj586dIy8vjwMHDvDQQw9x/vx5Xn31Vf7rv/5LjNnOzg5/= f39RerDRfCdMmCCyHVu3buXbb7/lnXfe+d539vLyEr+PQqFg6NChpKWl0d7ejrOzM21tbbS1tYm= yhUqlYvbs2Zw6dYpt27bxhz/8QXxXSZIYNmwYDQ0N7Nu3r9/5B31kchvDZ9SoUbi4uBAQECBAr0= FBQaSlpVFWVsbhw4eJiIjA19cXT09PJEn63u8WEBDwg027Nrdqq9VKU1OTcIeNjIxEoVDQ1NSEL= Muo1WrUajVWq1XABxcuXNiv98BoNPLnP/+ZlJQUiouLefTRR3F2diYmJgZ7e/vvsd6+q/Pnz7N2= 7Vr27dv3vdeGDBmCl5cX7u7u4jxydXUV5a3v8q02b97Mhg0bWLp0KQUFBQQHBwtnWICYmBgUCgV= 2dnbIsszatWs5cuQITzzxRD/nc29vb9zc3ETzti0ItG3T29vL+PHjuXTpEvn5+XzyyScolUpcXV= 2xs7NDrVaL0peXlxfQZ2bn6uoqPs9kMtHQ0MAjjzzCkiVLvtek3traKh68KpXqe5MN2/Xf3d3N6= tWrSUxMpKKigg0bNohtwsPDOXToEJcvX2bBggUYjUYefPBBUlJSqK+vZ/369WLb0NBQ8b01Gg3O= zs7ivNNoNMiyTEtLi2BzBQUFoVQqRcbCyckJhUIhuG3f7Wv77n3FbDYLtEd2djZXr17Fx8eH6Oh= odDodJ0+e5Prrr6etrY1HH30UPz8/Qda2yd/fXzw7bM31Nldk2/1i2LBhpKWlUVFRwcGDB+np6R= HXvg2n4+/vL77b/v37OXLkCI899pg4BwICAkRwKsuyuD6gL4CxZcbLy8t59dVX+50/J06cID09n= eXLl/c7BhaLRRyHf1Y/Weam75RSin/0lYv6MjDXjwjBTe3Ae8eukFVtorPXjEK2RSPWa/411wjh= 1j5elEphIsxLYv6kGBZNjSLARYVVlgViU0a6VsKSvrP/X5dswL9PPvmEMWPGoNfrKS8v5+677yY= vL4+amhoqKiowmUwkJSUxePBgEhISWLZsGbt27WLu3LnU1dVRWVmJg4MDSqWSnTt3Eh4eTmtrK5= GRkXz66ad0dXXR0dGBwWDAaDQKhkx7e7uo20dHR7Nnzx4sFguZmZnCItvG3bFYLHh5eYmoe9SoU= SLN2tzcjL+/PxcuXOCBBx7Azs6OG2+8kX379okbfUBAALIsM3/+fDIyMnj++eeZNm0atbW1PPXU= U/z+97+nt7eXK1euoNPpaGlpISwsjNdee427774bvV4vbhqXLl0SMynoa07cu3cvN998M19++SV= KpZLu7m6OHz9Obm4u5eXlbNiwAVdXV5YsWYLFYqG+vp6AgABha+7s7ExHRwdz5sxh9erVBAUFCe= vzDz/8kPnz53PLLbdQUlKCk5MTFy9eFFC/t956i3HjxlFUVERtbS2yLJOamookSYwaNYrIyEgSE= hLIyMjghhtuYNu2bbS3t1NcXMw777zD6tWrOX36NJIk0dPTw7x589i7dy+enp6sX7+e5ORkuru7= cXR0pLe3l7y8PKqrq0lOTqa9vZ3MzEzq6upoaGigqKiIyMhI/vKXv9DW1sbatWupq6sTpbugoCD= BKbPNNmtqakSQ9e2331JfXy94SImJiaxcuZLw8HD0er3ASAwePJisrCwaGxtpaGigt7eXo0eP4u= TkRFlZGYWFhQwdOpTQ0FDee+89fvOb36BQKIiLi+Ptt9/Gzc0NBwcHYmJiOHXqFCaTiRUrVpCSk= kJra6vIoISEhODk5MSZM2d46KGH+l0/Y8eO5eWXX+bjjz/GZDIRFRUleh80Gg2TJk3iueeeY8aM= GeTk5BAZGUlVVRV5eXkUFBRQX18v+E7Hjx/HycmJkpISqqqqKCgooLGxkfT0dNGLUVZWxrhx4/j= oo48wGo0YjUacnJzQ6XTs2rULT09PwsLCCAsLY9q0aWzYsIEZM2b0C6LmzJnD9u3bsbe3p6WlBZ= VKRWtrK8nJyYSHh6PVasnPzxeNv4WFhXR3dwvMxKxZs0hJSUGSJAoKCkQfXHJyMrW1tYLBZusNa= mxs5OLFi9jZ2VFeXk51dTXLli3jySef5De/+Y3oN7O3tyczM5OWlhbOnz9PYGAgJSUlZGdnk5WV= xWOPPcbx48dRqVR0dXXh6OhIdXU1TU1NJCYmMmLECKqqqigsLBRMMXt7e5RKJS+88AJxcXEYjUb= GjBnDK6+8gkqlIiMjg4qKCiZOnEhxcTFRUVFMmzaNTZs2oVQquXLlCseOHcPDw4OJEyfS1dUl+r= NsZdpp06bx7LPPEhISIvqLbDiP48ePk5KSQlFREb29vcTHxxMaGkpPTw8uLi4iWL569Sp79+5l0= aJFXL16ldDQUA4fPswHH3xAUFAQra2t3HvvveI3bG5uFg/lnp4ewsPD+eSTTygsLBSA0S+++ILG= xkaqqqqYP38+8fHxGAwGSkpKBBPw/PnztLe3U1BQgKurKxcuXMBkMnH58mVUKhUrVqzgiSeeEKW= lFStW4OnpKXAeM2fOpLOzE3d3d1xcXNDpdBQVFdHe3o6bmxvl5eVUVFRQVFSEVqvFarWSkJAg+n= 6WLVtGZGQkGzZsYMKECVy5cgU/Pz8+//xzzGYziYmJos+qsbFRXJujRo0S3LCLFy9SVlZGQUEBV= quVlpYWqqqqUKlUnDt3Dl9fXwoKCjhw4ACurq709vaKIEyn0/H0009z++23k5OTI3oGjx8/Ljhy= Fy9e7Jct/DH6SXpu4DvBxQ9EGUpkQrycmRDrj7erEpOxm57OLkxmC2arBYvVgixbUGHEQ2VhaIA= jt0wI4oF5Q7lhVAgeGjskWRIBkSQprgU2PzSAX49sbKn6+npqa2sJDQ1lzpw54oERHR2Nr68vWq= 0WBwcHzGYz06dPZ/LkyURGRlJWVoaTk5NgJE2ePJmSkhKamppYtGgRI0eORKlUUlFRgUql4tZbb= xWNhWPGjBHlFYDY2FhMJhNarZYlS5awdOlS5syZI26KSqWSG2+8UTSrhYaG4uzsLMYwfvx4Wltb= GTt2LDqdjmHDhuHt7U18fDwTJkygpaWFOXPmMGzYMObPn092djZNTU0sW7YMd3d3CgoK+s1y/P3= 9ufXWW7FarWi1Wry8vPD19SUqKgqLxcKIESPE2JVKJZ2dneh0Ou677z4GDRqEi4sL1dXVjBw5kh= tuuIElS5bQ3t5ORUUFc+bMYfTo0UDfzK+6uprQ0FDCw8MJDQ0lNjaWoqIiFAoFt956Kw4ODmi1W= gYPHsz1119PYGAg9fX1ODk5MXnyZB5++GE6OjrQaDSEhoYSEBCATqdj4sSJqFQqkba2t7fn4Ycf= Rq/X09HRwfTp03nssceYPHmyaMxzdHRk6dKleHp6UlhYSHt7O4sXLxYPO9vvZ3v4Dx48GI1Gg6O= jI6GhoXh6ehIRESFm8ZGRkbi4uDBy5EiKioro6OggLi6O4cOHU1tbi16vZ+7cucTExCDLsrgxur= q64uvrS2NjIzqdjvb2dpqamjAYDIwdO5bKykqcnZ2JiooiNDSUoKAgKioq8PDwQK1W4+XlxZAhQ= 3BychKZFWdnZ5EhKCkpoauri9/97nei36W+vp65c+cK8rdNHR0dxMbGinS9TV5eXqL5s7u7m4UL= F1JTU4NGoyEqKopFixZRXFxMU1OTeJDbwKCSJBEdHU1kZCRubm5otVpBXg8JCSEnJ4fhw4eLbIA= t4zNv3jwkSRLX1Ny5c5k2bRoZGRn09PRw3XXXERoaipeXF6WlpYwdO5Zx48aJGXp0dDROTk4UFx= fj4uIiZtfw10yIh4eHsGEoKCggLCwMSZKYM2eOAN3OnTsXR0dH0TeSnJxMWFgYzs7OODk5iYb80= NBQLBYLTk5OODk5ERoayuTJk8nJySEkJISRI0fS2dkpsn9hYWH09vaKhtPBgwczc+ZMwSxzdXVl= 5MiRqNVqtFqtmNH7+PgIdldZWZkI6u+44w6Ki4tpa2tj/PjxLFiwADs7O5qbm0VJ00YHDwwM5NZ= bbxWB3+jRo/nd737HpEmTBCR2ypQpAAwbNkyc/x4eHqJHLSgoiBtuuEEEX3Fxcdx4443cd999hI= aGkpubC/QFRbY+KLVajcFgoKKigrvvvpsZM2YIRpPt3LH1QFmtVo4cOYK3tze9vb288MIL6PV6Q= QAfMmQIMTExGAwGysvLGTVqFCNGjKC9vR0HBwd8fHyQZZmAgABaW1sZNmwYHh4eTJ8+XYCCb775= ZhYtWsTChQsxGAzU1NQwatQooqKicHBwENeXjb1nb29PZWUlQ4YMwd3dnaioKJycnERp1NfXF6P= RKJh+Li4uIls4Z84ccY3ce++9jB49GovFQnV1NYsWLeLWW29FrVbj4+ODvb09EydOpKKiAhcXF6= KjozGbzQQEBODp6UlDQwOxsbEEBwczcuRIGhsbGTVqFGPGjKG4uJjOzk7mzZsnMoRKpZKuri6qq= qpYvnw5UVFRODs7i/v2vHnz+pHGf6x+HFvqn1AfPbyv7iRLEr2yFV17D8W6DvKrOyirrKOzx4yz= Rs3gQb5EBzoT7uOCr5sGlZ0CBfR55SAhy33cb+n/GEBq06ZNODo6ilTgr0mzZs1i165dRERE/NJ= DGdA/oZtvvpmPPvoIT09PampqOHfuHEuXLv1Zx/DZZ58xderUf5oOPKD/G3rllVcAeO655/5t+z= CbzaxcuZK1a9cO+O/8L9dP2FD8w5KwXnMzViIBDpKSQZ6OhHg6cf2QAKC/H4ZMX/9NX3OyDHLfM= nIZUEjy/zkzm4SEBPbu3Ut7ezsTJkxg8uTJv/SQ/mG9++67FBQUMHbsWFpbW3/p4Qzon9B1110n= VieFh4dz5cqVn23f6enpzJ49m3Xr1rF48eKfbb8D+vXp8uXLHDx4kPLyciZOnMicOXP+LftZu3Y= thw4dws3NjZdffvlfMlYc0L9X//bMTV9PzTUH4Wu76lsy3sel4toqp79u3ScFgGylL5r5aw1KfN= aABjSgAQ1oQAMa0A/oZyhL/bUdRr6Wl5FkCeRrC7WuLbAS29lG892/XQt5rNcWd/1kS7wGNKABD= WhAAxrQf5z+7XFCH+jy2v9fI1LJkgKrQkZW9GVxruVzrq2akq+9yfqd/IyiD7OAjOI/rC6VkZHR= bynu/xYVFxcL7w6A/Px87r//frRa7c+y/6KiInbs2EFLS0u/v2/YsIH4+PifZQw2rVq1ipqamn5= /++yzzzh48ODfXLb771Rrayvr16+nrq7u3/L5ycnJvPPOO//jMsw9e/awZcuWv7uNDU3xXf+N7+= pcQRtvnNDSbbL+4Ov/qjIqDeTX9i3LTSzt4HJJx/e2OXW1lf/3QeG/vJ/VH/7PvhybT1bz/vk6e= kxW1n9ZwcWi9h/cztBjYf3hCpJKvz/e/66l7+ZzNr/tR495QAP6j5b8C8n6S+34V6YTJ07Iqamp= v/Qw5KNHj8otLS0/y76MRqO8atUqefHixbJOp/tZ9vmP6OTJk3JCQsIvOgaz2Szv3LlTDgoKkis= qKn6xceTl5cnOzs7yU0899Te3sVqt8ptvvikPGzZMLigo+N7r+m6zHPFUkvzkJyVyp9Es/l5Q1y= U//VmpLMuyHJ/fKh/Pbv6nxmi1yvLZ/FY5s1Ivy7Isb/zqlztesizLiSXtcsTaJHnjV5U/6n1dR= ov80J7CH3zt9aNVssvDF+TD6Y0/xRAHNKD/GP1kS8F/rAa6ZvpUW1tLdXU13t7e5Ofn09DQQFpa= Gk1NTdjZ2bFu3Tqam5sJCwvDZDJx5swZcnNzhVFbVlYWV65coaWlheTkZLHs8+jRoyiVSgwGA+f= Pn6e0tJTAwECam5spLS0VHh7u7u44OTmRnZ3NhQsX6OzsFDb6paWl+Pv709zcTHJyMvX19Xh4eO= Di4iLGavNY+a6LLkBeXh7nz5+nra2NkJAQdDodx48fJy8vDz8/P8xmM8XFxYKHJUkSpaWlJCUlM= WLECEJCQmhsbMRisZCfn49arcbDw4OLFy/i7OyMvb09aWlpJCYmUlZWJvwrTp8+LRhFNkMzq9VK= YWEh1dXVpKSkUF5eTkhICBaLhWPHjpGTk0NnZyd+fn60tbUJW3rbsksb02jdunVYLBYCAwNpbGw= Uy8/Pnj0rnESPHj2Kvb09BoOBhIQEcnNzcXV1xdXVlaSkJK5evYqjoyN2dnbCWKu3t5e0tDSSkp= Iwm814eXmRnp6OUqnkxIkTtLa2EhAQIMy3wsLCqKioYObMmWg0Gs6ePUtmZqZY9vldffnllxgMB= sEty8nJ4cKFC9TW1gozwLy8PBISEqisrCQ6Opqamhrq6+vx9PSktbWVo0ePUl5eTlRUFFarldzc= XAoKCoiKisJkMjFt2jTOnz8vGFqhoaF0d3dz5MgRoG+FybRp075nwKayUxDuo6GooRtZhqL6viz= h+wl1ZGk7Udsr+DhJR1WzkRBPNeVNPVS1GMmo1NNkMDHIS01lcw/JZR20d5lxsFNQ1thDeVMP/m= 4qWjrNZFQamBLlRmOHiYqmHiZEuJJRoSepVI+2xYi/m4rq1l4K6rsI8XSgqtlIQlE7V2u6CPRQ0= WwwUdzQTWWzkSytAY1KiZvGjsTSDlLL+8bh46KiptVIUX03QR4OpF/7/MrmHlw1SpwclFwu6aC1= y0xrpxkfFxVTol1JKzegslPg5KDki/Qm8uu6yK/roslgIsDNgfQKAzq9iWc+L6O2rZfYQEfauy1= cKm6nqKEbjb2Sm0d5cjijiemD3RgS8Fdkg6HHwsncVq7WdGGVZbyc7cmp7vv8K1UG1PYK8mo6Sa= swkF/XRVVLD97O9qjtB4r+A/rP0C8W3Ayoz61206ZNZGVl4erqyqpVqygqKsJoNLJx40buuusuD= h06hJOTE7GxsRw+fJiGhgYuXrxIXV0dn332GYcPH8bb2xuNRsOXX34pmCkHDx7E2dmZ+Ph49Ho9= aWlpXLlyhdOnT/PnP/8ZjUbD6dOncXd3x2g08t5772Eymfjoo49YsGAB999/PxUVFdx00008++y= zuLu7C06Ph4cHq1atIicnB7PZzAsvvMDjjz8uvldpaSlbt25FoVDw7rvvMn/+fL788kuSkpLIy8= tDp9ORk5PDiy++SG9vL8XFxezZswc7Ozt27NjB5MmTkSSJTz/9FIVCgVar5eTJkwCsXr2amTNn0= tzcLIKO+Ph44Q1UUVFBWloaBQUFTJs2Degzi7r77rvJzs7G3d2dDz/8ED8/P+FA2tLSwjfffMOg= QYM4cOAAXV1dHDt2jICAAD788EO2bNnCrFmzOHXqFO7u7ri5ubF+/Xrc3d3x8PBg7969aDQaIiM= jOXDgAAEBAaSnp9PQ0EBXVxcff/wxwcHBnD59mtbWVo4cOcLYsWNxdXVFlmUSEhJEMPr222+jUq= l49NFHycvLQ61W8/XXXwu3auhz5v3222+ZOXMmpaWlvPXWW4I7duedd4rf4cKFC8THx5Oenk5vb= y9OTk7s378fSZI4efIkBoMBLy8vtm3bhlKpZNOmTYwZM4a33nqLsrIypk+fzmuvvUZrayuXLl0S= RoLvvvsuSqWSU6dOCVfpgwcP4ujoyGeffcb06dPZsWOHMMi7evUqN9988/eCG4DC+m4+SmwgyN2= Bd8/X4eygpLa9l9rWXsK81RTUdQES1a1GXv2mivzaLkwWmW3f1jAi2JnTV1tJLdfz/vk6Jke5YT= RZ6ei2EOatprC+i/YuM2PDXNh8spo7J/hS1tjDBxfqUdspeO98HTLwl4R6zhW2c/1QD946U0NLp= 4mTua3kaDs5W9DGtm9r6DRauFTcgcUqo++x8OdT1dgrFXya0kigu4pnPi8nt7qT8RGurP20jAB3= FV9mNKG2V1DX3svO+FrslRIJhe0MCXCkoqmHTUerGBniRFpF3/jtlBJ7LtYT7achs8rAfx3XEui= uIremi45uC9F+jnycqEMG4vPbaNSbmBrtxvvn674X3Lx7ro7ihm4a9SZ2nKnB11XFEx+XkFfbha= +LChl4++z/Z++8w6uq0rb/O/3kpPdeSUICIQkthdClyAwtgEiTzsD42kBHUQRHHQsjI44ooigoA= VSQjoICgUBoIaGXBNJI7+UkOTl9f3+EbM2Ajo44M+/75b6uc13J2WuvtXZb59lPue8y7NQy/vpN= MRYBBoQ7YquS3fd1rhOd+E/gNy8F78SPo51crbCwkPDwcOLi4ujfvz+JiYmsXLkSOzs7YmJiGDp= 0KOHh4YwcORJXV1d0Oh25ubksWrQIR0dHFixYgK2tLRaLBYvFgpOTE/3790ej0bBp0yYsFgstLS= 307duX4cOHU1tby9y5c1m/fj3FxcVkZmYyYMAAJk6cSGlpKXZ2dowePZrr16+TlZVFc3Mz//M//= 0Nrayt//OMfkcvlxMfHExsby7Bhw3j11VepqqoSvQYHDx6kZ8+ezJs3j4kTJ+Lg4MD48ePRaDS8= 9tpr2NnZ8fDDD9O7d2+mT59OaWkpV65cYdGiReTn54uq5kFBQcyZMwd7e3uWL1+Og4MD3t7emM1= mrl27Ro8ePRg9ejT5+fmsWbMGpVLJ5s2bWblypUjy1X6eExISCAsLY9GiRfj4+LB582bc3d156a= WXcHBwYOvWrVy5cgVBENi3bx+vvvoqUVFReHl58cUXX9C9e3fCwsIYP348iYmJpKWlAW1aM1OmT= EGr1eLh4UG/fv1EUrqnnnoKtVrNm2++yc2bNzl27BhJSUk888wzInGbxWIhNTWVTz/9FFdXV0pL= S5k4cSIRERFMmTKFpKQknnzySWpra+/J8xIZGckTTzzBW2+9JRKUtUMQBA4dOsSLL77I4MGDWbt= 2Lb169WLChAnk5OQwZ84ckfTvySefZNy4cbi4uBAbG0tdXR2lpaWsXr0aHx8fmpqaqK6uprm5mc= jISBYuXEhVVRUmk4nevXsTGxvLgAED0Gg0oocqJSWFgoKCDvID90JsgB0LBnlzKk+L0SLQM8AOi= 1Vg4WAfGnRmvByVjOvpRlZhEyOinJk30JviOgP7L9ag1Vuo0pp4b0YYUX62HTwPGflNDOra5r1r= 1rcZPN9eLSMpzJFp8R6M6+WGXCahpslEZmETFY1GtpyuRK2Q0qS3UNloZFZ/L6q0JpaNDuS9w6V= UaU1kl9fyQKQzfxjsTUWjEXu1jCERTlwrbcHdXsGaGaF8ml7BmXwtQ7s5sSurhmHdnJnd35PCmj= bdqAHhjuy9UAvAtdIW/FzUPBznQWZBEwPCnTCYrRy4XEe4l4YefnrKG42M7+VGYqgD289Vc+JmA= z5OyrtP5h1sPl3JsedikUmhtN7A2bwmevjbMbybE9MSPLlS0oJCJmFKvAf7LtYS7KbG3V7xk9ep= E53434ROH+R/EAqFAldXV+RyOQ4ODri7u4v/C4LQIaFTEAT69u3L6dOnKS0t5dChQ3h4eGBra4t= MJhMF5urr6zl27BgxMTEIgsCECRM4d+4cRUVFbN26FX9/f5ydncWQjcViwWw2U1VVhVwuFyXm20= MWRqORkpISzGYzarUalUqFra0t7u7uojYQ0GGuJpOJ2tpacU4Aq1ev5ty5cyIRoYuLC25ubuI8b= GxsRM2Zdtjb22NjYyPq0bTr4wiCIIohCoKAg4MDMpmMBx54gJMnT/LOO+/w/PPPi9pPCoVC1LmS= SCTY2NhgsVhEz4pUKhX5Kv74xz+ybt06HnvsMQ4fPnxP8sF2htB2BAUFUVlZyb59+5g4cSJWq5X= a2loMBgMSiURknd2zZw/du3dn+vTp3Lx5U9zfycmJ1atXi7T1ycnJODo6itegXR/nXsjMzGTp0q= XMnTv3Ls9Inz59OHDgALt37+a9996jqalJTIxuZwltbW0VOYhCQkJQqVTiPWi1WkXBxfLycj7//= HP0ej0yWdvbva2tLQaDge+++05kvY2KisJoNIqaRu2htHatnXvBSSNHIW8LVFt+JEHb3V6BnVqO= rUqGRilFKZegUcl486EQknu7Me7dq+y7WCu2N1kE6lpMdPfVkHqjgbiQNq+XVYD8qlYsVgEfJyU= uGjkutnLaJYkSujjw3TMxlK5O5Nuno3G1leOokeFmL2+r9RTAahUobzSikEnwcFBgr5bhfcfQKK= 03Mun9axjNAo8kthmwepMVuVSCTCpBIZPQbLDg6ahErWw7R8886M+pW42MXHWZxFAHfJyUeDko7= woR1baYeGzzLfKqWlkywv9HzydAo87C7Vq9GPZSyCW42MpxsGk7Vm8nJQqZlPhXzqNWSFky0u8n= ++uSkU8eAAAgAElEQVREJ/63oTMs9R9ES0sLBw8e5MKFCwQHB7N7926Rfnrfvn0kJSVRXl4uUsN= XVFSQlZVFdXU1Bw4coKqqikuXLolU4ra2tuzbt4+mpiZGjBiBQqFg+/bton7JhQsXyM3N5eLFi0= RFRbFr1y6qq6uZNGkS77zzDra2tqSlpeHr68tXX31Fbm4uY8eOJTU1leLiYm7fvo2NjQ3du3dn6= 9atqFQqampq2LVrF3FxcaK3xNnZmXXr1ok6MM7OzqSlpREYGEhJSQk3btzAarWSlZVFcHAwx44d= 4/LlywQFBfHtt99iMBiIjY0lOztbzMlRKBRERESQkpKCo6Mj0dHR7Nu3j4aGBpEa/urVq2RmZtK= 9e3cEQaB3796ikGG70rhOp+PYsWPMnTsXg8HA119/jVarpaSkhKSkJP785z8jlUpxc3MTldp37N= jBwIEDycnJobKyEkEQOHLkCNXV1YwaNQq1Ws2pU6fQarUkJiYilUo5efIkt2/fprCwEIPBgJeXl= 6hKbGNjQ3h4OD4+PkgkEpqamtixYwcNDQ2cOXOG8vJyDh8+jJ2dHWazmd27d9OlSxfCw8ORSqXc= uHGDbdu24eXlRUVFBVarVcy9iYuLE6UaPv74YzIzM0Va/8GDB7Nu3TqUSiVXrlxhxIgR9OzZky+= //JKamhry8vIoKCggJyeHK1euMGrUKHJyckhPT6euro4jR44QGhrKnj17aGpq4uDBg5SUlNDa2k= p0dDS1tbWcPHmSkJAQsrOzyc3NJT8/n4MHD+Lq6opUKqWsrEz0QJksAp+fqeRamY5AVzW7smpQK= 2SolVKuFLdgq5KhNwlcLm7GzV5BWk4DNU0mDGaBQ9fqefQBH1YdKMZWJcNsFejmq8FqhbxqPecK= mnCzV9Ddx5aDV+uY2McdlVyKxSrwZUY1VgEuFjVzpbSF7HId18t09At14EppC6X1BioaTWw5U4n= OaOVCUTPdfGzZfb6GxlYzA7s68eHRMjwclOy/VIetUsbXl+sorNHjYqugoEbPiChnzuQ10Wq00t= 3Plo/SylEppHx9qY7sch2xAXbsOl+Dr5OKby7XEeCqZt5Ab1ztFFiBgho9ey/U4ueioklv4XJxC= zKphLwqPQO7OnK5uJnyRiNOGjm7z9fgaq/Aw17B1VIdfi4qimr1nMlrollv4XpZC1PiPdiVVYPF= CgPDHSmpM5BZ2MSiIT70DLCjvNFIiLvNf2op7EQn7js6jZv/IAwGAy0tLaIXxMHBQdR2GTZsGC4= uLsTHx6PX6/Hw8GDUqFE0Njai0+n4/e9/L+p6hIeH4+DgIKqGBwQE4OvrK+rAlJWVYbVaiY2NRa= PR4O/vj4eHh/j37373O8LCwkThuXbtoKioKCIiIhg/fjxFRUVIJBLGjRsnemmCg4OxWCw88MADO= Do6ito/bm5uBAYGUlVVhb29PUOHDsXDw4P6+nr8/PxEjZSwsDB8fHwwGo3ExcUhl8sJDg7Gzc2N= +Ph4PD09KS8vx87Ojnnz5lFTU4OPjw8ODg4MGzYMNzc3ampqUCqVzJgxAycnJ5qbmzEajQwfPlx= Mcm43biQSCQ4ODsTGxvLAAw/Qu3dvGhoa0Ol0xMbG0rdvX7y9vWlsbMTd3Z0hQ4aQm5tL37598f= HxoWfPnrS2tqJSqfDy8sLNzY1evXqhVquxtbUlICAAHx8f7O3tCQkJoaqqitbWVsaMGYOvry82N= jZUVFTQrVs3+vXr18Hj5uLiQl1dHTY2NiQlJWFraysmIvv6+hIYGIifnx8ymYy6ujox32fIkCE0= Njai0WiIj48X7yFo86xIJBIsFgsjRowgJiaG8PBwioqK8PPzY9SoUTg6OuLv709NTQ0Gg4Hhw4d= jNBpxc3MjLCxM1DozGAxMmjSJyMhInJycaGhoYPjw4YwdO5YHH3wQvV5PS0sLvXv3pkuXLowePZ= q6ujocHR0ZO3Yso0ePpqysDJPJ9P11EaC80Uiohw2OGjkh7jZ09bahu68tvs4qLFaBoZFOGM0Cd= mo5WYVNeDgocLSRMy3Bgxh/O2xVMkwWgWA3NdMTPSmuN9BisOBsK6dPsD0apQyVXIqXkxKZVIKf= iwp3ewW1zSZUChk9/GzRqGR089HQxcOGB7o5o221oDNa6B/uiJ1aRoibDc4aOU4aOeGeNozs4UK= Et4b6FjO+ziq6eNigN1rpFWRPDz9bgt3UaPUWIrw1BLiomRLvgb1ahlIuJT7EnvkDvdGbrfg7qw= hwa0uKDve0wWC2YjBbOZWrJdTDBn8XFQGuanoG2OFiK8fLUUnPADtaDBZCPGzo6qVBIoFeQfZ4O= ylx0rQdVxcPNUlhjmj1FlqNFh6O9yDAVYUggKejkig/W5oMFi7cbsbRRo7BbCXrdjPhnhocNZ2Z= Cp34v4F/A0NxJzrxn4XJZGLVqlUEBgYybdq0//R0OnEHzXoL8a+e/9ntyxuM2KpkONj830p6rWs= x42L7vVFR22zG1e63NTJMFgGDyYqduu1cBrmp2flYd1Sd1VKd+D+CX2/cCAIWaxvxnlRiuSNuKa= deb+DbjCz8/ELw9HDC20aBRmrBLJUjQ4rih5IKgnCHDE1CbW0dV65cpay07I5ag4CAFW9vT4YMG= UpdXR0SiRRnZyfk8vZF7oc8yHdNkHaZh45tO7Zvm4MFo9FCk7YZq2DB1dUNmaxtP0ln7fr/WhQW= FtK/f3/c3d05fPhwh3yZTvzvwNvflrDmcCmRPhpWPdyFbj6af77T/xK8e6iU1d+VAODrrOLLP0b= i66z6TcfMLtfx0PvXaTZYAFg5OYTJfd1/0zE70Yl/J+6D50bAIliRCFIECVgEC4JESlWTjsfe+J= DaVnu8Pb2Ij/QmqYcnPYK8USFHLpWIBkP7FAoLi/hw3cfk5+dhNJrE/q1WC7GxMTz9zBKWL1+Bn= Z0dS5Y89Q8JlD/FcCrQZtxI7vx9LwNHQBCs3LyZy4cffkRzczOrVv0Ve3sHQEDSwbrptHQ60YlO= dKITnfhvxa/2feqMZm7Xa/F1dkCtlANSrIIEq0SCDDWtBiXZpXpult3i5JXLrHlqCl52HUsOJRI= Jer2BlJQt5OTkoFarCAsLvGO8CFitVoKCA5HJZISGhqLR2IgEaD/oRfxLEO5ljPwMg+ROJU2XLl= 3Q61vv5ER07PvHx+hEJzrRiU50ohP/DfjVAdaSmiaeXPsdf/rwWz4+cIHq+hZUEgkCYJTaYZbZI= JFJMSOjrkGPYLK2GQz/YBfk5eVx9cpV5HI5PaKjeGrx4zz2+CIee/yPPPHk/5CcPA6ZTEZQUCD+= /v7I5QoEARoaGkhPP8XevfvZvXsf33zzLUVFxZw4kc7OnXvYvXsvu3fvY+/er7l27QYWi/VOuEt= CQUEh3313iD2797F7915SjxxFAgQFhRAS0gWQcuHCpTt97GXXrr3s33+A7Oyc+6IplJWVRc+ePQ= kJCWHBggW/ur+fgk6nY82aNZw6deo3HefnwGKxsGLFCk6cOEFlZWUHTpqfg/fee48PPvjgN5rd9= 9iyZQvr1q37yTZZWVmEhIR0+AwePJisrCyxjVar5emnn+bChQuYTCaWLl1KXl7eL57P8OHD79K4= asfKlSs5dOjQXd/X1tYydepUQkJCmDZtGtevXyc9PZ2srCz+8Ic//OI5/CMmTJhAY+O99ZEAzp0= 7R2xsbIfzM2zYMJH7pqGhgeXLl5Ofn3/P/evq6li6dCklJSX/dC4vv/wyx48fv+e28ePH89BDD9= 11rV577bUO7dLT01mxYgVms5mDBw+yatWqfzruPyI9Pf1Hz21xcTHTp0//0X2vXLnChAkTfvGYv= xYXL15k+fLl6PX6e24/e/Ysr776KgaD4b6PbTAYWLt2LceOHbsv/dXV1fHyyy93eAbvF1asWME3= 33zzs9quXbuWkJAQ4uLi2L59O1u3bhW3vfjii7zxxhv3fX4/xIULF+663/v3709GRsZvOm47rFY= rmzZtYvPmzf+W8e7Cr9VvuF5cL/R4dJsQtegLoeuc94R3tn0nmARBKNC2CL9f9qkQ9diXQrcndg= kRj+8QBiz5ULhd1ySYhbu1pQ59lyqMHTNRmDF9jvDtt98JFotFsFotgtVqFgTBIgiCIDQ0NAizZ= s0RHnvsCaGyslIoK6sQnn12mTB+3CRh/LhJQvL4ScKM6bOEw4eOCi88v1wYMyZZSE6eJCQnTxLG= jZ0oTHl4hpCaekwwmUzC118fEKZOmSGMGztBSB4/WRg/boLw+ONPCsePnxTmzV0oPDRpqlBdVSt= 8sPYjYfz4SUJy8kNC8vhJwrhxE4Rp06YL6eknf+2pEwRBEPbs2SO88sor96WvfxV6vV544YUX/m= 3j7dy5U+jatavw7bffit9ZrVZh8+bNQkFBwU/ue+XKFcHDw0N4/fXXf9M5Xrp0SYiPjxdeffXVf= 9r2xIkTwuOPPy7odDpBEAThwoULQmZmprg9LS1NsLW1FU6dOtVhv5ycHGH16tW/eq7p6elCeHi4= 8NVXX3X4vqWlRYiIiBA2btwozqtHjx7CwYMHf/WYvwS7du0S73GdTic888wzQkBAgNDY2PiL+ik= vLxc++uije25LSUkRAgIC7jq2yspKYdKkScKlS5eE6upqYdmyZcKFCxcEQRCEsrIy4ZtvvhHb1t= fXC3/4wx+EcePGCUajUfzebDYLM2fO/EVzvRd0Op2wePFiITg4+J7bW1pahEWLFv3o9vuN48ePC= 0ePHhWs1v9epT+dTicsXbr0F+2zbds2ISIiQjh58v6s0e3YvXu34OjoKHz55Zc/2c5sNgsvvvii= MGHCBEEQBKGurk5YsGCB8PTTTwuCIAjFxcVCZmZmh3vst0JmZqawYMECoaWlRRCEtnXtzJkz/3J= /VVVVwo4dO4Ta2n9N7+3fiV8dlhKQYJGpkWNEotSgFyQYAAuABARBgRUlEoxIaVMB/95pY6U9ZG= QwGJBKpcgVChwdnZBIpPxjrotEIkGhUCCXy5FIJOzauZubOTfp2rUrvfv0QqlQIFfICQoKQiaTo= 1Iq6d27F2HhYWRlnicn5yaZmefx8PBg5849mM0WomOi6d6tO3KFFEdHB+zsNCgUCpQqOTK5lITE= eLx9PAEJgtXKrdxcsjLP8/nWL0lK6vdrT9+PwmQysWXLFgCSkpIICwsTt7W0tLBz5048PT1xdnY= mICCAAwcO4ODgQP/+/Tlx4gStra0kJCRgMBg4f/48o0ePprCwED8/PzQaDbt37yYkJARPT08+//= xz9u7dywMPPIC/vz9nz54FoG/fvnTt2lUc12g0kpqaSkVFBZGRkcTHx5Oenk5lZSV9+vTB1dVVJ= MOzWCxkZWVx/fp1fH19GT58OM3NzRw5coT6+nqGDh0KtL1lHT9+nNDQUD766CNu3brFrFmzaGpq= 4vz5tkqa2bNnYzabOX36NHl5ecydOxdo84h8++23tLS0EBISwsCBA8W5NjU1ce3aNaxWK7du3SI= qKorevXtTVFREamoqCoWCQYMG4efnx+nTp6mvr8dsNjNq1CgUCgXR0dHMnj2bhoYGTCYTWVlZZG= dni/P5MTQ1NeHo6EhwcDAAO3bsoKmpSTxei8VCWloa3t7evPHGG5jNZk6dOkVwcDDHjx9Hr9cTG= xtLTEwMp06dwmq1iuc3MzOTiRMnUl5ezokTJ9DpdCQmJpKUlMT48eNFcr12rF+/nsDAQHG+sbGx= 7Nmzh+rqaoqKiigrKyMhIYHy8nJOnjxJc3MzY8eORa/XU1VVhV6vp7CwkH79+hEQEMDZs2e5ceM= GAQEBJCYmYjabSU9PZ9SoUWRmZnL16lXs7e0ZMGDAXRpX7bCxseGll17i5s2bvPHGGyxfvlzUSl= Or1aSmplJWVga0kSWOGTOGq1ev4u3tzdtvv012dja9evXC1dWVY8eOoVAo6N+/PzNmzLjrjdRsN= nPgwAHGjx9P9+7dRbLCdrTzFEGbRMc333xzZ+1oO4+5ublotVpycnLYvHkz48ePZ/DgwVy5coX8= /HycnJwYPHgwSqWSbdu2iSSTLi4uNDY20rt3bzIyMrh58yZyuZyJEyfy2GOPcfHixbvOi16vZ9u= 2bURHR5OZmQnQ4To/9NBD2Nraiu1v377NrVu30Ol01NXVMXv2bPLz8yksLKS0tJSEhATMZjNnz5= 7Fzs6OSZMmkZuby6VLl0SCz/fffx+NRiOSetbU1NC7d28KCgpEBm6AUaNG0dLSglarJTY2lvz8f= I4fP45SqRRZ09tRV1fH0aNHUSgU+Pn54e7uzpEjR3BycmLAgAG4urpy8OBBKioqgDa6guTkZK5c= uYKPjw9yuZyDBw/SrVs3VCoVmzZtIj09naNHj6JWq7FYLBQXF9OzZ0/y8/OpqqrCx8eHESNG0Nr= ayq5du2hubhbXgurqar7++msAcX37IXbt2kVjYyPR0dH06tWLQ4cO4evry40bN/D29qZfv+/X+H= Hjxolet+bmZg4fPkxDQwN+fn4MGzZMbJeXl8fVq1dFz4yzszNvv/02hw4dwmQyceHCBUpKSmhub= mbAgAFcv34dq9VKdnY2EomEuLg40tPT6dWrF5GRkdy8eVP0uI8ZMwaz2Ux+fj65ubkEBwdjZ2cn= 3lOTJ09Go7l3sn1zczO2trZER0d3OPaIiAgkEgk3btxg5MiRZGdn09LSIrLUtz9XM2fO5PPPPxe= PY9KkSaSmplJaWkpQUBCDBw+mrKyM69evU11dLY5jY2NDSEiIeN0DAwNJSkri9u3b1NbW0tDQQF= NTEw899BClpaWkp6fT2tpKv379CA8Pv+ex/Bzch7o/CSapHLNcAlIBpBIkgEwAqSCIabwSLEgR7= uwBkntUOAmC0Pa90J7022HrD0JBEgwGEzk5OSLLr1qtRi6Xo1bbYGtni0Ta1ndUjygmTkxm0KCB= CIKAXq+noKAQXYsOBwcHpk+bykOTJzJxYjIPPDAUlUolji2VSvH3b+OLkctkKJRK7O0dUChVVFf= X8lvi66+/5tixY+Tk5HRwZ0KbS/PRRx8lLy+PlpYWnn32WaRSKZcuXeKLL77AZDLxxhtvIJFIaG= 5uFnWYnn/+eQoKCti+fTsVFRV8+umnnD17FolEgkQiQSqV8v7774s/fB9//HEHN/TBgwc5ceIEE= omEtWvXkpqaSkZGBjU1Nbz44ovU1n5/TnJyctiyZQsWi4W3336bEydOkJKSQl5eHhKJhIsXL9Lc= 3Mzy5ct58cUXO8zBZDLx6aefUlVVRUpKCpmZmZw7d449e/YgCIL4oB86dIi0tDR0Oh0pKSlUV1c= DbYbhjh07mD17NqmpqTQ0NPDOO++QnZ3N2rVrkUql5Obm8t5777F3717mz5/P3r17kUql98yjqq= ys5Msvv0Sr1fLuu+9y7dq1u9ocOnSIBQsWMGvWLNE4/Pzzzzl37lwHZuC33nqLv/zlLzQ0NIjHq= 9PpOHToEI2NjZhMJtasWcNnn33GY489xgcffIBUKmXTpk3MmTNHDJdkZmZSVFR0V1jlh/jmm29I= SEjo8F1wcDCBgYG88sorbNiwgaamJnbu3ElpaSn5+fk89dRTrF69mtmzZ3Py5ElOnz7NgQMHyMj= IICUlhZaWFjZt2kRubi5z5sxh5cqV1NbWsnr1aqRSKcePHyc1NfUn7207OzsSEhI4fvw4+/bt44= UXXqC6uprLly+zZcsWpFIpy5YtEwkily1bJp6v9s+bb77J7du3ycrK4ptvvunAkN2OlpYW8vPzO= xgsJSUlLF++nFmzZvHSSy8B0NjYyB/+8AdRx6y2tpbq6moWLFjAt99+K94TUqmUy5cvk5WVhVQq= 5ezZs2zYsIEXX3yR+fPnk5OTQ2lpKc899xxbt26ltLSUnTt30tTUxJYtW0Sj5V5YsWIFlZWV5OX= lodPp0Ol0fPnll5SWlnL58uUO17m2tpbZs2fzyiuvUFFRwUcffcSGDRtYtmwZq1atwmg0UlVVxW= effYZOp2Pbtm188cUXnD17lqKiIhYuXCjyVrXf87Nnz+arr74CYP78+Wi1WjIyMsRQ5+zZs9mzZ= w8NDQ28/fbb4rn4+9//Ls6r/XleuHAhFRUV1NTUsHLlSqRSKRcuXBDPwQcffIDJZGL9+vVUVFSQ= mprKc889x61bt/jkk08wmUxs3LiRzMxMcX7Xr1/nqaee4uOPP0YqlZKRkcHBgwcRBIE33niDqqo= qce1qbW3l1q1bAKxZs4Zr165x/vx5Dhw4gMViEee7Y8cOzp49S2NjIykpKaxfv565c+eyYsUKrl= 69yieffPKj1+vEiRMcOXIEq9XKxo0bKS8vF7e1G+ftL3rtfycnJ1NQUMCGDRuwWq08++yz5ObmM= nv2bJYtW4ZWq+VPf/oT7733HufOnePdd99Fp9Oxa9cuCgsLOXr0KFu2bGHNmjU8+eSTtLa2otVq= 2b59O1VVVWzbto0TJ07cNddjx46Ja9Pp06cB+Oqrrzh79iw1NTWkpKRQWVkphn9zc3NZt24dVqu= VTz75hIqKCr744gsyMjKQSqXi58yZM5w/fx6pVMrf//539u3bx4oVK3j99ddpbGzk9u3bLFq0iN= OnT1NYWMhf/vIXWlpaxGs7a9Ysli5dSn5+Ps8++ywVFRV8/fXXXLx4kcLCQv7617/+6Pn/ObgvZ= AoCEqzIkAttpowEkCIgESwIEivCnXJsqcQKku8NlB/CxkYNCBgMJqprarBarXcWlfYKpztj3Unk= 1bcaaG1tRRAEzpw5y8mTpwABd3d3nnjicSRI7pSlt0Fto0YqaeurVafDarWgVCrx8HRHIhHu0Nv= faX9njkaDkd2793DkSCoGgxEBAalEilyu+M2TiYcOHYqrqytPPfXUXdbrzJkz2bx5M3PnzuXGjR= scOXKEo0eP0traytChQ/nwww9F0jq5XM7cuXNpbm4WLXBbW1tWr17N3//+d+Li4rh69SrHjx9n8= ODB9OjRg9zcXMaPH8+DDz6I2WxGpVKh0+lITU0lJSVFfIMcPHgwR44coVu3brz11lsdqtdOnDjB= xo0bcXR0pLa2lpiYGADmzZsneik0Gg2TJk3i+PHjBAcHExYWxujRowkLC+PFF1/k7bffJiMjg7y= 8PEpKSkhMTGTChAniwjVy5EhGjhxJREQE4eHhNDU14e7ujlwup0+fPsTHx/PII4/g7OxMdXU1mz= dvxs7OjpkzZ2IwGJg5cyYLFy4kMTGRsWPH8rvf/e6e18LLy4uXXnqJxx57jOzsbMrKyu7KE0pIS= OCFF16gqqqK4uJiGhsbWbt2Ld9++y2tra2iQTZjxgxOnz6Nv7+/+Hbq4+PDpUuXmDNnDo6Ojlit= VkwmE1FRUYwcOZLk5GSio6P55JNPkMlkTJo0ifT0dJYsWXJPMcp2ODs73/N7V1dXBg0axJkzZ6i= trWXDhg2UlZUhCAKurq4888wzWCwW5s+fz7Zt2ygoKKCiooLf//73jBw5kmnTpqHRaFi8eDHLli= 3DycmJd955h+3bt/PVV1918Pb9FFxdXenZs6folbRYLOJ1WblyJQkJCdja2nLixAlcXV0ZOnQoM= pmMXr168corr3Dz5k2Sk5P54x//2OFHqx16vR6DwYCLi4v4naenJ1OnTqVbt2589NFHAKIY7MyZ= M3F1dWXv3r24uLgwduxYrFYrgwYNEgks33zzTeLi4hg6dCi3bt1i+/btjBw5kjVr1jBv3jykUin= V1dXk5OTg4+PD8uXLWbx4MRkZGVRXV99TH+zq1ascO3aMkydPkpGRwYkTJ2hpaeHdd9+ltbUVs9= mMvb09r7/+OtAm1zFt2jRu3LjBnDlzCA0N5a233mL8+PHU1NTwyCOPcOLECd5//30cHR3RarUiW= eONGzf46KOPCAgI4MKFCzg7O9OjRw+mTZsm5j0VFRUxdOhQ3N3duXr1Kh4eHkyePJna2lpSU1Px= 8vJi5syZtLa2MmLECPE4NBoNEydO5OjRo8yZM4fTp0+zf/9+9u7dK5JZdu/enaqqKqZNm8bx48f= p3r07UVFR4vrQvjZt2LCByMhIjhw5QmlpKfPmzePatWsMGjSIhx9+GJ1Ox4ABA0hOTqapqYkrV6= 6I3kCz2cz169cBeOKJJ7h9+zYPPvgg8+bN65AruWnTJk6ePIlKpUIikbBhwwbCwsKYOnUqoaGhP= Pfccz967w4cOJABAwYQGRmJj48PjY2NeHt7A6BUKlGr1ffcLygoiJdffpnXX3+d8+fP4+Pjw8iR= IwkODmbOnDm8//77jBgxAo1Gw9tvv41arWbRokV8+umnrFu3jqCgIPr160drayvTp09HrVbTr18= /3nzzTU6dOsXkyZPvGrNPnz689NJL1NTUiNf4s88+Y/Pmzdja2tLU1IS9vT329vao1WrxvLe/ZH= zwwQecOnWK4uJiEhISqKio4IEHHuDRRx/l+eefJyYmhsDAQNatW8eECRPIyspixowZohEK4OPjQ= 0pKCqtWrSItLY3ly5eTnJxMS0sL8+fP56233qK0tJQpU6Zw/PhxFi9eLJJ9/qu4z4xNEjrm2d7L= A3Nv+Ae0uXSNRgOnT5+hIP82TU3NaLVNaLVN6HR6RJ+Ptc3VZWOjQSaTMXToUBYvfpIlS55iwYJ= 5eHl7ImAFifUfxm9767PRaJBI2jwEtTX1mM0WLBb4Xr6n7Tjq6xu4cOESCoWSmTNn8vSSp5k0ad= KPuv3uB1pbW9HpdGzatIlVq1bxpz/9SRRZbIe7exsfRftD2adPH27cuEFlZSWffPIJDg4OTJgwg= YMHD2I2m5HL5dja2orzHjp0KAcOHGDNmjV8/PHH4luv2Wxm+fLlvPfee6IK9w/h6OjIxo0buX37= Nvn5+YwfP56tW7cyZMgQxo0bx+XLl8W2NjY2oqdIp9Mxffp0zGYzJlNbib/VaqW5uRlHR8e7xtH= r9UyfPp2QkBBmzJiBIAiYTCbxB6zdI5WSkkLfvn25dOkSkZGR4v4SiQRbW1uUSiU2Np8NDqgAAC= AASURBVG2U8u1swHl5eeI5UalU2Nvbi21/DEVFRYwfP5758+d3cD//EPb29vj5+ZGUlERycjKNj= Y0YDAaMRqPobaipqcHd3f2u8JEgCFRUVIjJnGq1Gjs7OzQajXjNHB0dkclkmM1m1q9fz44dO3j/= /fd/dM7Q5sLeunUrdXV14nfnzp1jy5YtODg4iAZ6v379SE9Pp6KigtOnT+Pr64ujoyMajQZBEMQ= Xjby8PKRSqaj31b6Y19TUMGnSJBQKhegN+TEIgsDNmzdJSUlhwoQJ2Nraiteoa9euODg4EBYWxo= wZM+jTpw+2trZ3vKnfw2Kx8Pjjj7N27VrWrVvXIVzzz6BQKPD09MTf35+XX34ZrVaLTqcTNdYkE= gk6nY7W1tZ7GoeCIFBQUACAXC5HoVDg5uaGRCJBpVKhUChE9faCggIefvhhpkyZwtSpU390ThaL= Rby/pVIpZrOZ2tpaEhMTOX36NNXV1Zw7d05sL5PJRDmL9vtarVbj4OCAWq0W77epU6eSl5eHVqv= lzTff5KmnnuKJJ55g2LBhHDx4sMMcfhhaWr16NcnJyaxfv54ZM2YgkUjE7YIgkJOTg9lsRqFQdL= g2UqlU1CVTKNpeAEeMGMHNmzepqKhgzZo19OvXj9jYWGJjY/Hz8yMuLq7D2vTQQw9x6NAh/vSnP= /H555+LxoharUaj0Yjact999x1z584lNTUVHx8fUTS4/RpaLBYaGxtZunQpK1as4MMPP7yL30oi= kbBr1y5KS0u5efMmgwcPRq1W4+TkhEwmu6fB3I79+/eTmJhIbm4uPXr06LDN19eXurq6Dh7euro= 6nn76acrKypg9ezazZs3C398fpVKJk5OTqI/XrqPXrrHX3NzMc889h8lk4vnnn0cqlWJvby/q5N= XW1jJv3jy6d+8uhuv/EXZ2dvj5+dGvXz8mT55MQ0MD0OZdl8vl4vPXfi+azWZ0Oh21tbU88sgjO= Dk5MW/evLv6NZvNYqJ/u+6go6Oj+LukUCjE9b2goICBAwcycOBAhg0bhlKpxMXFpcPa255Yvn//= fvHF49fgt6XB/AXOjaCgQPrG9eXUyVPcupnL2397B2cXZ0DAYrESFhbGxInJd/xCoFTJiYiIoKS= khNLSEvwDfFEq5BhNRpqbmu88FIJobAlCGx0gAncWbwfq6urYvHkrkZFdQSrBydERDw9PECRIkC= KRSEXXrcViQafTodcbEATrfamWqqysJC0tjby8PNavXw+0xdLbF4SuXbty5coVbty4wdWrV4mKi= gLawkMGg4FTp04RHR2Np6cnzz77LJGRkTg7O5OcnExUVBTr168nIiIClUrF9evXuXDhAoGBgWzf= vp3AwEC6desmLoglJSV89dVXVFdXM2DAAHbv3k1RURGlpaWEh4ej0WiIi4vj008/paysDJlMhlw= u5/bt2/j4+NCvX78OoYG+ffuyf/9+3n77bZydndFoNMjlcnFOly5dwtvbm5s3b9LQ0MClS5dQKp= Xs2rULo9EoGj/FxcWcPHmSyMhI9u7dS3V1NWfPnsXBwYHKykrGjx/P5s2bKSgoIDs7m8DAQNF4q= K6uJiUlRczTmjhxougRcnBwYMiQIRQVFXHt2jUCAwNJTEwUfyirq6u5du0aZWVl9OzZE3d3d65d= u0Z9fT1nzpwhMTFRVP/et28f165dY+PGjSgUCurr6/Hy8mLAgAEsWLCApKQkcnNzSU1NRRAECgs= LuX79OiqVitOnT+Pj44NMJmPTpk3ij1ZAQICY2zBkyBAyMzPFEJJer8fNzU0MCR44cIDc3Fyam5= sZNmyY6A6fPn06586d44knnmDQoEFAWx7H/PnzWb9+PdevX6e2thYHBwfWr19Ply5dqK+vF3OML= l26RHp6Olqtlvnz5/Pyyy+jUqnQarUkJyezbds2qqqqSEtLE/Ws2t3U9fX1ODs7U1FRQVpaGgUF= Baxfvx6j0cipU6cYNmwYs2bNIi0tjStXrpCRkUFkZCR6vZ5nn30WgMOHDyMIAteuXRNzRy5fvsx= 3331Hbm4uixYtIi0tjerqalGJvN3AbDcO7e3tRePuu+++4+LFi0ilUs6dO4fBYECr1dK3b1+uXr= 3K6tWrKSws5OLFi2RkZJCWltZB9POLL76gW7du7Ny5E6vVil6vJyIigsuXL2O1WklLS6NHjx6cP= 3+eGzducOnSJXx9fbl58ybFxcVkZWWh1WopKyvj8OHDoqEcEBCAu7s7f/7zn7FaraKGXHBwMO++= +y6RkZHU1NTw/PPPi8+X1WrlwoULrF+/noyMDBYuXEhqaiqFhYXU1tYSFRWF2Wzmtddew9/fn9b= WVlGA9cEHH8RoNIr3X1hYGIcPH6asrIyKigr++te/itcgPT2diIgIjh49SkNDA2PHjqW8vFzUon= vkkUfEORkMBo4dO0Z9fT1ZWVlERkZiMpl4+eWX8fX1xdvbGy8vLxoaGsT+MzIycHFx4fz583h7e= 5OSkkJ0dDRJSUkolUqUSiW3bt1i/fr1XLlyBb1ez+DBg6mqqiI6OpodO3bQ3NzM7du3USqVrFy5= El9fXy5fvkyXLl24cOGC6A2orKykrKxMFKSdPXs2zz//PLNmzaK5uZnQ0FBKSko4ceIEfn5+lJa= WcvDgQR588EGgLQfr+vXrODo6olAoGDFiBBs3bqS4uJhr167RpUsXFAoFgYGBPPHEE7zxxhsUFR= UBbaGqefPmkZeXR1BQEIWFhbS0tLBhwwYyMjKoq6vD3t6empoasWqssLCQ06dPiy81ubm5lJWV0= dLSwo0bN7h16xbOzs7Y2tpSW1tLUVERJpOJMWPG4OrqSlVVFbt27SI7O5uNGzeiVCppbGzEycmJ= GTNmsHTpUqZOnYrVamX06NGidp/VaiUnJ4eMjAz0ej0Wi4WCggIMBgNubm4UFRWxY8cOZs2axda= tWykrK0Or1fLoo4/y3Xffcf78eSoqKrCzs+PMmTMEBASgVquJioqiqqqKgoICPv/8c7Kzs5HL5e= zfv5+Wlha++eYbBEHAxcWFM2fOUFVV1eF375fiV2tLVWsNfHGqGCkWpBY90cGOJHQPptVg4sDJq= 9Qb1FglCsCEg6yFcYNicVQrO9g9VqsVqVRCly7B1NXWU1NTi1bbRE1NDfX19VRXV6PR2BCfEMeh= Q4dQqVQMGNCf0LAulJaWkZeXz+XLl7l06Qo52Tfx9w/g9u3b1FTXEhMbQ9euYRQWFpFx9hxe3p4= MHjwQF2dn8vILKC0pJftGDjeuX6e6ppawLmFcuXIVg9HIuHFjaG5uIS83l2vXrnH58mXy8vIwmU= 1IJBIeeujXlWy2trZisViIiIgQH2Q/Pz8SExOJiYnBbDbj7+9PTEwMvr6+YgiioqKC4cOH4+npS= VBQEElJSRiNRmxsbEhISMDT0xOFQkFAQABBQUGi5pKrqyuhoaHExsZiZ2cniin6+fnh4eGBl5cX= CQkJWCwW3N3diY+PJzg4WHwTDQ4Oxt3dHbPZjKenJ4MHD8bNzQ2dTkdUVBSJiYmiYeHi4kJoaCg= mkwmVSiWGVuRyOTKZjClTpjBs2DDkcjkDBgzA19eXnj17AhAYGEivXr2wWCwkJCSICXu+vr5YrV= Z+97vfMXbsWIYNG4YgCGg0Gvr27UtAQACenp5IpVIaGhq4du0aQUFBuLu7M2rUKMLCwkhKSqK+v= h4XFxeGDh2K1WrF09OTsLAw/Pz8RP4kg8GAWq0mJCSE6OhogoODEQSBIUOG4OfnR1BQEEqlktbW= VlpaWkSNKaVSKRo27cfn4uLCkCFDmD59Og0NDURHRxMUFESPHj2ws7PDx8eH0aNHo9frkcvlJCY= m4ubmhre3N/7+/oSGhqLT6YiLi8PFxYV+/fphtVrx8fERRVO7du2Kt7c3kZGRHTigBg4ciJ2dHV= arFaVSydy5c8XtERERhIWFMWDAAFHFOy4uDi8vL1HLyt7enp49e5KUlETPnj3R6/UEBgbStWtXq= qqqGDJkCN26dSMkJASLxUJkZCTh4eEEBQWhVqvR6XQIgiDe4zY2NgwZMoQ5c+Ygl8tpbW3F29ub= gIAAbG1tKSsrw9vbG6VSSVZWFvHx8fj6+uLn50dUVBT29vb4+/szfPhwWltbCQ4OJjIyEnd3dwI= DAwkPD8fPzw+lUolCoaC8vJy6ujoxHNKlSxfc3NzEufTu3Zt+/foRHx+P0WikW7duTJ06ld69e2= M2m4mOjiYiIoKYmBg0Gg39+vUjODgYnU6Hn58fQ4YMQavVMnLkSNzc3HB3d0cqlRIVFUV0dDSBg= YFYrVYSEhIICgrCxcVFTL5v/5G1sbERE7S7du3KmDFjmDhxIt27dxc9M8OHD+/gecjJyaGoqIie= PXsSFxdH//79EQSB4OBgwsPDcXd3JzIyEqPRiFKpZMyYMXh4eGC1WvH19WXMmDF4e3uj0Whwc3P= Dzs6Onj17EhwczPXr1wkNDUWpVFJVVYW7uzsqlYqYmBhiYmJ48MEHaWhowN3dnZEjR4ohGKvVil= arZeDAgXh7exMcHEx8fDw6nQ57e3v69OmDxWKhvr4eT09PUcC1V69e4nrRniPm7e3NwIEDCQwMx= MXFBaVSSWxsrBjODQgI6OAdCg4O5sEHH0QikeDk5MS4ceMYNWoUgwcPxmAwEBwcTEREBCEhIaLx= HxERgaenJ1arlcjISDw8PIiIiCAwMBAvLy969eqFs7OzqNWm1Wrx8PCga9euJCUliS9sCQkJBAQ= E4O3tLT5H4eHhdO/enaamJpRKJYMHD6Zbt274+vqKcxwxYgRKpZLIyEi6du2KjY0N8fHxovZf79= 69CQwMJDo6GovFQrdu3ejatSteXl706NGD4OBgfHx88PT0xGKx0LdvX0JCQggKCsLGxkbMyenTp= w82NjYolUrc3d0ZNGgQ/fr1Ez2NoaGhhIaG0rdvXyQSCREREUyYMIFhw4YRFBQk9u3r60tMTAye= np6oVCrGjBmDm5sbBoOBPn36iNp7oaGhhIWFoVKpkMvbnBDtLxyOjo707dsXe3t7unTpQkxMDGq= 1mkGDBuHv709SUhISiQRfX1+SkpLw8fH5ydD7T+FXMxRfL9EybtUp5IIBubGB6UP9efKhodRoW3= j8r5+T1+iEWWoDgg5fZTWfLJ9JgKNdR25goT3nBVpb9ZSWlFFVVY3FakYiafO6ODk5EhkZSWZmJ= jKZjNiYGFRqFY2NWopul1DfUI9gFZDL5YR0CaGyopJGbSNduoTg7+9LeXkV2dnZOLs4EdE1HIVC= Tnl5NaUlZej1rUBbzNg/wJ+C/ALMFhNxcX0wGo3k5eXT0KBFKpEiYKWd12/gwAG/5tR14jdEQUE= Bf/vb33jppZfEMF4n/rvxyCOPsGjRIpKSkgB44YUXxDyTfxUGg4H58+fzzDPPiHkd/xewa9cuMj= Iy7jtXyr59+zh06BDvvvsuAB988AFz5869KzT4r2LKlCksXryY+Ph4AF577TWWLVt2X/ruRCd+i= PsclvrxHJt/FqGSSCQIgoCtrYauEWF0jQi7q40gWElK6tchJOTo6Eh0zN15Gz4+nnf2aauy8vLy= wNvb486+bYaUn583fn7eHebf1taNtrwb4c4bw/+dRfH/BxiNRvbs2cORI0ewtbVl5cqV/+kpdeJ= nYOnSpUyaNEn8/8iRI7+6T5VKRUpKCpMnT2bbtm2/ur//BpSXl/PCCy/g6enJmTNn7qqI+zUYM2= YM69atE3PYFi1adN8MG2irCps4caL4//79++9b353oxA9xnzw3J5FjQm6oYcYDATwxaRjVTS08s= XIruY3OWKU2SKw6PFXVbFw+E/87npt2g6fd4BAEyZ08l38c5XthzbZqKb7f+yc0M9u9Pm37SGnX= jxIEAan0h6Kb4h4dxvzBDBEEKxKJ7AfzRXRBdqITnehEJzrRif8e3J9f53YbQGLhJ6ujftR98z2= Hzdmz59ixYxc7d+5m5462z65d+zh9OgOttulOhYdAQ0Mj5eUVNDU1t3X9Aw6M9k97dZTZbKaysp= LKyiqMRhOCAGlpx9m5cxfZ2TlYrW2Jxx335wf9gEQi5dixNHbv3ivyGNxPWCwWPv744w4VR/+Iw= sJCnnnmGSZPnsz8+fM7bGsnAcvJyeH8+fOsWbPmvs/xl+Ctt95i8uTJYlVGY2Mjq1atYvLkybz5= 5ps/u5+LFy+ydOnSn93+8OHD96zYuXjxIgsXLmTy5Ml8/PHHnDx5Emjj9KitraW8vJyPPvroR+n= n/xG3bt1i06ZNYjg1JyeHxx9//GfPsx2TJ09mxYoVYtKrwWDg9ddfZ8WKFdTX16PVapk8eTJLli= yhtrYWrVbLZ5999ovH+XehQWfmvSOl5Fe3YrEK/P1QCZeLW9h7oZa/H7q3dEQnOtGJTtxv/Je4H= r43iE6dPM3WLV/yxefb+eKLts/nW7/kndXv8dpf3qS0tAyQsmPHV7zwwoscPvzThGEAdXX1vPXW= 33j11dfIz28r4zx8+DBffLGN69ezf8b82jxKhw6lsu3Lrygvr7jvPDc7duxg5cqVVFZW/mgbPz8= /kaHyH0MtKpWK0aNHI5FImD59+r9NP+THsHDhQoKDg3nooYeAtlLpyZMnk5SUxKOPPvqz+qirq2= PBggUcPnz4Z4/75Zdf8sknn3TQKmpsbGTv3r1MnjxZLHXs06cPL7zwAp999hmtra14eHgwbdq0n= +2CDw4OZuLEiaL3rra29hdpNV29epW+ffsyatQolixZgpOTE9DGg6HX61myZAmOjo4sXryYtWvX= olAo2LFjByqViry8vP+cXss/wbZz1by2r4j6FjMyqYS5A7ypaTbx3PZ8zuRr/9PT60QnOvH/CX7= bUvCfibaQUZugpVQqRUJb3byNjQoBMBlNtLbqycvLZ9u27SxcuKCtVBvJHYLANrQH2O5td0hA+O= G2tnLvNgbMe4XC7u5Eeqcs/Ody9/wcmEwmCgsLCQ8PZ/jw4eL3V69eRSKR4OPjI/JtyOVy7O3tU= alUd3E2tFcqBAQE8NZbb7F161YKCgrQ6/WEhoYiCAK3b99GEASxWqSwsBCALl26dOA6gLa4fm1t= LU5OTvj6+mI0GsnPz8diseDr64uTkxOVlZWoVCrKyspQqVQEBweL1VIODg4MHDiQxsZGBgwYwP7= 9+7Gzs8POzg4HBwcMBgPFxcXo9XpcXV1FzpR2tJfMLlmyhL/97W9AmwFRWVmJRCIhLCxM5IJox+= XLl5kwYYIo8xASEgK0lXAWFhYSExNDSkqKyAT8+uuv8/HHHwNteTrNzc1oNBqxtBQgNDQUtVpNT= U2NSBkfFRWFXq9Hp9Nha2uLXq9HqVRiNBqprq7G3d2dyspK1Go1xcXF2NjYiNUd0CYWuWbNGubM= mUNcXJzIbbJgwQIWL17M6NGjgbZn4dVXX8XJyYnevXsTGRmJSqVi0aJFrF+/npKSErEEu6rJRE2= TEXu1HEGAJr0ZL0clggCVWiMAMqkEL0clpfUGbFUyAlzV3ChrEc9foJuakjoDEsDfVUVlowkBCH= H/npCsrMFIfYsJG6WMEHc1BpOVojoDRrMVX2cVY2JcSb/ZJqQpCFDXYiKhiwNzB3iRdbuJW5WtW= AWBIDc1Jsv/Y++846Mq0/59nZlJL6SQQghJIIU2CSGhBem9iLCAgIj6CoooIE0UOyBiBBTFhktZ= EJAmvUMIhBQCAUICARICBNJ7L5Mpz++PSQbz4q7uyu76+juXn+DMmXOecur33M/93Lcgu0SDJEk= 42qhQSpBbbmyrn5sVFqqm714ZRXVUa/RYminwbm6JEHC/uA69QWBjocTOUklWycOI2i525rjaP5= w5llmioaJWRzMrFS0dLajXG8goqkOnF7RwsMDJ5g9xO5SRkXkM/Eev5obIM7/4m9Gh2PjZIAx07= RrCuPFjMRgM5ObksX37TjIzM7mTfpesrGxCQ0NxcXHD398PkKiv15H54AFlZWVNarC1tcHd3Y3h= w4ai0+mxt2/GrVupVFVWAxLZWblcunQJPz9fDAbR8MB/6Gtjb2+Pt5cXFpYWpnY2xr/5veh0Og4= dOkRUVBQGg8EkNo4cOcLmzZuxsbGhbdu2zJo1q0ko718iOjqatWvXmmJhpKWlsWHDBmJiYli0aB= EpKSls3ryZQYMG8Ze//IXz58+TlZVFXl4efn5+TWal3Llzhy+//JLq6mpKSkrYtm0bJ06cICIiA= o1Gg06nY968ebzxxhu0adMGS0tLbt68yfr1603TWxtZsGABb7/9NsuXL2fmzJnGvdqQQuHw4cNo= tVoyMzNZuXIlfn5+gFHwrV271hQsDIxxZzZt2sSDBw948OAB06dPZ+TIkU3qSktLM+Vw2rNnD1O= mTMHKyopTp06RlJREfX09CoWCb7/9lnnz5pmiq2o0Gnbs2MG5c+f45ptv2Lp1K6dOnaK0tJT58+= fTs2dP1qxZQ35+PqdOnWL37t1ERESYwsufPXuW48ePYzAYuH//Pu+//z7Lli3D0dERW1tbMjMzC= Q8Pp127doBRbDXGqoiMjKR9+/YMGzaM3Nxc/Pz8WLx4MW3btmXRokW4uLiwc+dOzp07Z4r86+Hh= Ycon0yhuEu9XMe/HdMZ1dcHRWsXG6DxWTWyD3gAbzuVSXa+ntt7A6md8eWv3XTp72fLxuNbM234= HDwdzLt6tZNdrHVh7JoekrGq+fc6fz05kEdzKhrlDjHWk5taw/MgDzJUKbuZWs+u1jpy5WcrpG2= WU1+qwt1SxfHxr0/E4dLWYz05kEv50g8jMr+XzE1ncKajlpb4tiE4r53hyCcOCnBjVyZn9V4qwM= FNwO7+GAe0cmT/M01TWtaxqVh3PxMnGjHtFtbzQ0538inq+jsimp38z+rRtxu38WpIzq6mt15NR= VMcXk/0YFmiMTnz1QRUrjmVia6GkqErLyom+xN4uJyKllJwyDUGetnz+jO8/vMZkZGT+7/AHfVU= R2Nja4OHRAiEELVq4k37nDvfu3qO6ppaiomJu3rzJuagYRo8eha9fG44dPcHp05FUVFSY/HeUSi= X+/n6Mf3osR48epbZOg6WVBadPR5KbmwdIxMbGERsby5y5s9HrDaz97nvTzC1JAgcHR/4ydgx9+= /aiaX6r309RURHnz59nxowZ+Pr6MmnSJCorK1m1ahXm5uaoVCrS09OZOHHir4obW1vbJiG/nZyc= mD9/PqGhoezcuZP+/fvTqlUrFi1aREVFBYmJiWzfvp2SkhLGjx/P3bt3TZaO3bt307lzZ5555hk= uXryImZkZ69atY/fu3SiVSmbPns3Fixexs7PD29ubRYsW8eyzzzYJkPVz1q5dy2uvvca+ffuwtb= VFr9cTERHBjBkz8Pf3Z/Xq1Rw4cIAFCxYARgtMYx6o7du3k5KSwvXr19m+fTseHh7k5OSwe/fuJ= uKmvLycc+fOsXnzZrRaLYWFhaboodOmTaO0tJQXXnjBFOn05ygUCmxtbU2WlSeeeAInJydWr15N= cnIy9vb2KBQKvv76ay5duoS9vT22tramRIx79uxhyZIleHh4sGDBAqKiorC1tcXZ2ZkVK1YwZ84= csrOzTeKmpKQEe3t7li1bRmVlJW+88QZOTk706NGDadOmUVZWxurVqykuLsbDwwMfHx8OHDjAl1= 9+ycaNGwFjSoi0tDRTH4aqHRmsdkQhQd+2zTh+rQR7KxVVdXrmDvGkWqMn/MgD2rWwpmtrexpSr= zFU7cT0fi2YtjEVjV7w6gAP5m2/gyRBi2bmJmEDsP1CAZ6OFrw3ypuLdyuwUEl8fzYXnV5gppQ4= klTMqwM8TOs726pQKR6+BNhZqlj6Fx8OJBZx+Goxvq5W+LpasvQvPly6V0lOmYb9r6vJKtUw6ds= bPBXijJ+r0aK49kwOfQIcmNbHnZ8uFbIpNo/nwtxwtTfn9cEtUbe0YcyaFJ4Nc6VKo+fH+AKTsA= H4W0we59MrCPS0IeFeJXG3y9kal8+KCW1oZqUi82cWHxkZmf/7PBZxIwmpwSzzS9aMf14M/G/9o= FAocHVxBUmBtl5LWWk5tTW1VFRWoKmvJ/XWLQ4cOEBFRZUptHpFRQVpaanU1tWh1xuoqqqmpqYG= CwsLevToQX5eAWVlFfj7B+Dr1xp3d3f0eoMpEJSkkLidZsyie/z4CcLCuj3Srt9LY9C2xnDV7u7= u1NfXm6I1Nvb914QNYArc1YibmxtOTk54eHjQrFkz09CQtbW1KRsrGEWQm5ubKSQ3GId/WrRoga= WlpSm7bmZmpilPT4cOHUxDQ6GhoSgUClM+pF+iefPmLFiwgLlz59KrVy/AGIiwMbx5cHAwZ86cM= a1fUlJiys/SOFyl0WgYNmwYs2fPxsrKqkmgOjBGAJ0yZQoBAQHU1NTw4YcfkpSU9Eho9DZt2pis= HY2YmZnh6+vbJOFlcXExo0aNQqlUUlZWRm1tLWZmZoSFhQFw9+5dioqKAMjOzjZZmLp27UpeXh6= +vr506NABeBjSvJHGkOuNYfQbhxorKyvx8PDAYDCYAu+pVCqT2Proo4+atPt/Oz8/092Vt3bdZZ= jaCWdbM7bHF+Bqb8bbTxoF53t77hGXXoHOILhbUMuP8YX4ulpiZ6mkk5ctJ66VYGWuwNnWjKwSD= XVaQ5PyS6t12FopsTJX0Led0UfI1lLJ7EEtCfM1Bnqs1jwMWd+tjT02Fg9TTbg7mONiZ4aTjRm2= Fkp6+tlzLasKR2sVGcV1aHTGC8zT0QJLMwWl1Q/3WWGlltqG9ng4WFBXb6CHnz3bzudjZWasY9k= 4H3p9fBUQXF4c2qTt5bU6poS5smCYMSu0lbmCb05nozdAaxdLWrv8ci4gGRmZ/5s8lqzgCqFEIS= QQSh5GkWmsQCAkgUHRkB+8USAIA6A35oAyLmgorXGqt/G7EMbflUrFw6ndDf81rvMgM4vaWmNI+= kVvv8mitxcw/um/oNPpkRpmTCEpQJKwtbVh2LDBuLq6AIKQkE48//xk1Xf7ngAAIABJREFUvL1b= 4enpQZ++TxDaJZjQ0GD69uuNjY011VXGdA7SY576bWdnR0FBAQcPHiQxMZFTp04RGxtL165dmTV= rFvfu3WPfvn0mJ+Pa2lru379PaWkpiYmJJCYmcujQIdatW0d+fj4FBQUUFRWZxFBiYiI//fQTo0= aNIj09nbKyMsrKyujataspU3FiYiKSJBESEmJq1/Dhw/nmm29ITExkx44dZGRk8MQTT/DDDz+Qm= JhISkoKffr0oaCggPv375OZmUlZWRkFBQVNhpHu3r1rSnLZvXt3Jk6c2BCNWoG3tzd79uwhMTGR= y5cvM2bMGFP93t7epKamsn//fs6cOcOdO3dITEzk5s2bXL58mZs3b5oyGIMxjUVMTAxVVVXY29v= j5uZmStdw7do17t27R35+Punp6eTl5VFYWGgKA67X60lLSzMtKygoIDk5maeeegqtVktubi6enp= 5kZmZy+PBh0z4pKCggLy+P0tJSgoKC2LlzJ4mJiVy5coX+/ftTWFhIRkYG+fn5FBUVUVBQYBJ//= v7+1NbWcvbsWY4ePYqFhQXPPvssKSkpHD16lJiYGFq1aoW9vb3pOMfExDSJAVNXV2eKnNpID197= qjV6jl0r4dkerqRkV6NQSKga/nq3bcaWuHz6BDSjmZWKs7dKGRNijP7ZrY0d+68UoTcIxndxYWN= 0Hn3bNkNnEGQU1ZFTVs8QtRORN8o4fq2E9VG5HL5aTOvmlkSklJJRVMdbu+9y9UE1pdU67hdruF= dUR0WdnsIKLU42Kuq1Bq4+qCI6rZzBakfuFNRRWaunuEpLnwAHHhTXseFcHsevldC2hTUh3rbcz= q+ltFrHwA4ObI/P5+qDKi7dq2R0SHPuFtRRXquntNo4A/LTo5lsfaUdZxcFU1lnLPdeYR355fUM= 6uDI4aQSYtMr2BKXz7HkEjp52fLTpUKuPqhi7o/pj+uylpGR+QPwGNIv1LOzIf2CZKglsE0zunV= oQ3W9luOx1ymtM8egUGIArJX1jO2txtbKHKSGzOFIYJCMukdAfEICD+4/oG2Af0M4fmO8mcQrV7= l6NbkhBHp3CgryuXv3Hu3btUejqeXGzVt4e3kyctQIlAoFeXm5nIs6h5ubG4FBgZw/H4+2XkuvX= j1p3tyFs1FRFBWVEBikpl27ACRJ4nTEGdav30hERATR0dFcuZxIbW0ddnZ2DB4ykOjoWMpKSwkL= 64GHh8ev7Jlfx9raGj8/Py5fvszVq1cZN24c48eP58UXXyQmJobk5GQCAgLo1KkTSqWSwsJCoqK= isLKyIjk5meTkZDIyMhg/fjx37twhNzcXZ2dnBg0ahFar5fjx44SFhTFkyBB27tyJvb09bdq0wc= PDg759+3Lw4EGSk5P57LPPmswSat26NRYWFpw8eRKAQYMG0b17d6Kiorh06RJz5szB0tLS5Mei1= WrRaDQ4ODgQEBCAhYUFiYmJnD9/nuLiYvr16wcYEyO6uLjg5eVFu3btuHnzJjExMQwYMMBkEQFj= 1mNnZ2eioqLw9vamd+/eLFy4kFatWnH69GlSU1MZNmwYrq6uACQlJXHu3DmcnZ0JCAhAq9WSkpK= CTqejsrKS7Oxs6urqKC4uxtzcnPz8fOzs7MjKyqJly5bk5+djY2NDaWkpDg4OBAUFcfbsWSwsLN= DpdKbUDpGRkSQnJzNy5Eju3LlDeXk53t7eDB48mMuXLxMfH8+zzz6Lo6MjN2/epKysDEdHR/Lz8= 3FwcKBt27amBIeOjo6cPn2arKwslixZgr29PV27dmX37t0YDAYmTZqEhYUFX331lSlPzqhRo0wp= C06cOEH//v1N+6AReysVPs0tGRXsTGmNjl7+zWjlZDy2LZqZU1ajY0xIc9wdzHGwVtHZyyiEfV2= seFCsYXBHJwLcrdBoDTzTw416nYET10spq9YxspMzKqXEhbuV1GoNTO/rQaiPHXcK64i/U0mIty= 0eDuYUV+mo1xkoqtRirlTgYK3i6a4uFFVpib1dQYi3LU8GO7P3chGeTha42ZvTqZUNwV52xNwuJ= 7esnkUjvVAqJfZcKsLWUsmoYGcMAs7eKsfFzoznn3Dj0NVi7CxVtHAwx8fFkiNJxRRW6LiWVc21= rGoyijXkltdTpzMwKtgZO0slF+5UYqaSeK6nGz187bmcUUni/WrC/Ozp2PK3J+CUkZH5Y/NYgvi= NXRmHknoU9SVMHtSKWeMGUlRZzZxPd3K3rBkoVAi0OFmWsfndSXg2BPFTocdkpJEEBoOCr774jq= jos4wcOZyp06ai0+nIy81n7fd/JS01DWdnJ2a/PpPIyEhOnz7DhAkTsLKyYMeOnbRs2ZIlSz7Ez= s6OxMREli75mKCgICY/+wyfffYFNdXVvLXoDdq3b8+HHy4hLfUOkydPZMxfRqHV6nj/vcU8eJBJ= 7969aN3Gm4rySo4cOYa9vT0rVy1n+ccruHP3DvPnz6FLl9B/vGNkZP4NGAwG9uzZQ1FREdOmTTN= l1P0qIpvIm2W/svWfm7S8GgLcrf/u919j3+yO/45mycjI/Bd4LD43BkmgaJyG3TDTSAIU6FAJDf= oGGSMJHWBAL0AlDCAkhKTAIOkADRJmKIQehaTk/PkEbt++g15voLy8gvLyckCihYc7LVs+tJpIS= Li6umCmMiMnJ5fNm3+gY4eOZNzPRKFQ0RjVGBqGs4Txk0KSEMJASsoNXN1c8PbyQqOpb/CDcMLV= 1RWV0rxhanPjENljdrqRkfknKS4uJj4+nvDw8CZ+R9P7tuDF3u7/xZb99xmzJoUjSUZfsv7tHbj= wQcivbCEjI/Nn5THNljIKGiFAGB5aYySDHoWoR4sKAwo0OjMyi6txsrLATNUwFGVQYpAUGCQzzF= Cib3DNqagop6yszBQpWKlU0dzFmdGjn8LBwQFJklA0RCsODAwkJDSUhIRLnD1zjtMRZ5EkhSkOi= hCGBl8e4/oqlYqQ0BBSb93m6tWrXLqSwMIF81GrO3Dq1Gl++mkPkkKAMDrK2tgaZ2xICmGMrNOQ= wuFxB/KTkfk1XFxcTHF/fo6FmYLHlwHo/yYRC4P+202QkZH5g/DYE2dKkoQCMFNIuDe3oF4pqNL= pqK6uQ1tXxVdbTtI/qA1hwQEEeDtjqdChQAkoMQjo2LEDFpaWKBVGjxyjlUWBc3NnOgUF0rqND0= IIOnRoj4SCNr6tsbOz48UXXyAoSE1mZhbCIMgvKOTypcsYhAErK0t69XoCTX09jk4OCGGgb98+G= HRQWFyIwaDF1c2Fdu3b4+jkSFFRIUgNuawMYG9vi0KhIDS0M15enjg7O8viRkZGRkZG5g/K7/a5= uZlVzriV51AILVJ9MaN6evD6pKHYKhXkFxRSrTVQqhHkFJZSXFHBnfs5FOSVIukNdA30YmTvzrR= 2a44CPQaDQKf7peEfCTMzlSn6rRACrVaLXm9ApVIiSRJZWTloNPXodXokSeLChYscOHCQ0NAQZs= 1+FStLCwyAZKbCHANICnR6YyA9gQGluTkqSYlep0VvMDxM7CkASUJpZoZeV48wCFQqMxQKBUrlH= yR7hYyMjIyMjIyJ3225kQz1WNVmoJQUqCQt8ReSyLqbjpONNQ72dni2bIG3pxv+LZvRO8QPK/Pu= 1Gq03M/KJ/7iZb7dvIe+YaEM7N4ZKzMVKpUChYJ/aBWRJMnkSAlQUVHFF6u/5N69DBQNU74RAoV= SgVqtxs7+YdAyvTAgGcCgVKJHwkyhQEJPTlklDva2aA16zCQF5uYKzFAhCQMGFIAeMzOJyho9Or= RYW8hxMWRkZGRkZP6I/G7LTXW9luTsAsxQYI4C0FGvrafeYHT21Wvrqa2upq62GoVSgUKpwtbWG= lsrcxwdnanVGki9excleoL9/Wjh5ISywRrzW6mtrWXnjl0UFBaZEhlKksDPz5/BgwdhbWWJAeOM= c4VBT2ZJGUdjrxDUwRcvB3tsrGxYt/8kDg6umJtBW68WuDlYY2lmTr3OOM3Z08UZrUFPfPIN/Fq= 1xLtFC8xVyn/cMBkZGRkZGZn/OL9b3AgEBhqC5SHRGMJPNMQHlAQYI9qAXgh0Bj21dbVUVNeg1w= NCYGNnjdDrqCwtwcG2GQ4OzVCpVCah8qttEAKdTofBYDCJIklSYGamahjiEhgkAwahAGEg4nIqM= ZdvMXZYd8oKCimuqiM1rxjnZo7o6jV4t3DCzdGW23dzUFqZYa5S4mBpTnFpMUpzG/qGqHGwscbs= MQf1k5GRkZGRkfn9/P5hKUASxnTbBkAyxiRGgR6EoiElg9H5ViVJqJQqLG3scLSxQysZ0As9Cj2= Yo8LdzoE6XT0GYczh9FuddiVJeiQc/89+NE7/FkqQ4EFhOWnZBfi0csJMaCitqeFBYQVo66mvq6= S+Tk9FWSktXR0prtJQVVyBUqHH0cGB4oJiQto5YWVhdHiWkZGRkZGR+ePxu8WNQMIgmaEQDbaaB= jFiQDJ+NImTxjQLEpKQkBCYG0BIEigkozgSxrw7CMPPklc+jhlJEgphnKqek1eKUlIQqvbGztwM= n1aeuLsaUOh1WDezQKcDGzMVrT1ckXQCpZkSbb2GeoMSywBvPBxssTRTmgSdjIyMjIyMzB+Lx2K= 5UYmGjFKSAVA2WG8UCAEShsYwOE1oyLiAhNEBWA8mp1+DaBxaejziQZIMGAfKlPi3cqOwqARRY8= DcypJgX2cUCAzC6KfTWLcSQYi/NwKDsY3GCDdIkjEQYMNMcRkZGRkZGZk/GL/b50ZGRkZGRkZG5= o+E7DgiIyMjIyMj86dCFjcyMjIyMjIyfyoec/oFmd9KZGTkf7sJMjIyMjIyf3h69erVJHDvb0EW= N/8lYmNj/9tNkJGRkZGR+cPTrVu3f1rcyA7FMjIyMjIyMn8qZJ8bGRkZGRkZmT8VsriRkZGRkZG= R+VMhixsZGRkZGRmZPxWyuJGRkZGRkZH5UyGLGxkZGRkZGZk/FbK4kZGRkZGRkflTIYsbGRkZGR= kZmT8VsriRkZGRkZGR+VMhixsZGRkZGRmZPxWyuJGRkZGRkZH5U/HYcksJIaivrwdAkgCkpr//b= MnP8z00Xevvlg5ICNOWkunfpkseLR8EUpNtQfqNtf4+GuqTJMxUZiD9p+qVkZGRkZH5/5vHIm50= Oi37D+wnOy8XKxsr+IV0VZJoeLSLnwkS6WfyRIBB8StprgSYZMzPlJIESD8r1yA1/Cz9UnkSkmj= 4SQIDP2/PL1b4aD9+tu3DUnnYP0kY/4REVXklw4cOp0OHDv+4bzIyMjIyMjKPhccibiorK7lw4T= xBoSFYWlsixMPHvoRR6wgUCAGSQkIhSUb9I4Ew6JEkMBgEikbdIj0qK0y2GiEhhASSwIBAq9MhI= WGmUjVsKFDAQ0tNg8AxaSEBkqRAIKHT6dDr9aiUZihVShBGqSMhISTR1N7TKKwkYz8MBj16IRDC= gEqpQqGQEEIgSRIKhOlzdlY2CQkJ/1Dc1NXVUVNT02SZvb09KtX/P0nbG/tvZWXVIHr/ONTX11N= dXY2dnd2vHpPq6mp0Oh22trYolcr/UAt/O1VVVQghsLGxQaH4749KCyGorq6mvr4eSZKwt7dHCP= GHOPc1Gg3V1dUAODk5UVdXh6Wl5X+5Vb9OTU0N1tbW/9K2Op2OiooKrK2t/2N9NRgMlJWVYWVlh= ZWVFUIIamtrTfv7X+1L43ULD+8rFhYWj7Pp/xZ0Oh3V1dVYWFg0OQaN/bGysjItr6ioQKfTYWNj= 86t9Ky0t5ed5sv/szxjl4sWLF//eQurqarmYcAmPli1RqhRISEhSwx8SkqSgvraOnMwsbqbc4Er= CFZISE0m7mUp+bh71mnoszS2wtLZ8uN3/+kMyWn6EAfLycok9F8OZiEhio6K5eD6eG9dTKC0qxs= 7WruHGrURSNN0eJKqrq0m5lsLpkxGcizxLzLkYkhITuZt+BwkJh2YOmJmZG3XM/24HErlZOcRER= RMZEUF0VDSXzl/g5vUUSouLsbe1w9bGFkmhQEigVCgoKynFxtqOzp2D/+7+O3LkCCNGjCA6OpqT= J0/yzjvvMGjQIFq0aNFkPZ1OR25uLhYWFv+WkzI3N5fU1FRcXV0fefDpdDoKCgpQqVSPpe7Kykr= KysqwtbVFq9WyZMkSsrOz6dix42PtW0pKCq6urr9pXY1Gw9GjR3Fzc2tyU4mLi+OFF14gODiYli= 1b/sMyvv32W959912GDh1Ks2bN/u56GRkZ3LlzBw8Pj9/WkcfEBx98wMaNG+nduzdRUVGP9PX3k= p6eTlZWFs2bN/9V8aTX6zl48CDfffcdO3fu5MSJE5SVlaHVamnVqtW/VH9xcTEajQYhBBEREXh4= eGBubv5PlxMXF8e6devYtGkThw4dQqFQEBMTQ9euXf+ldv2nyMjIIDw8nKFDhwLGczojIwMnJyd= KS0upqan5xReIEydO4OLiwr179+jUqRMBAQF07NjxH9aVm5uLQqFAo9EQFxeHu7s7ZmZm/3Sby8= vLGTNmDFlZWfTo0QODwcB3333Hu+++i42NDZ06dfqny0xPT2f9+vWsW7eOY8eOkZqayt27dwkKC= vqvv3SUlpaSnJyMs7PzL+6vW7duMW7cOFxdXZu8FF+5coUZM2aQmZlJr169UCgUvP322yxZsgQ/= Pz/atGnzD18MJ02axAcffEBiYiIbN24kJyeH4ODg33T9l5eXc+zYMVq3bv2b7886nY4HDx7g4OD= AyZMnsbKyws7O7jdt+zh47E/In49INdpv7qTd5syp09y6eYvS0jKT8tTpdNTUGBVq6zat6d2vN8= GhnbGwtDRaPhq2l4Txk0IouHAhnuNHj+HQzIGwsDC8vb3R6/VkZGQQFxfHhbh4ho8aSefQzkgKU= DQcbEmC4uIS9v+0jwf3HtClSxe6hnTB2dmZoqIiUlJS+PGHbXQM7MiTo57EwdnBZO4xGpkUXIyP= 5/jhYzg7NyckJARvb28MBgP3M+4Tdz6O+JjzPPnUKDqFdkZSSRgAgzAg/eLw2ENGjx5NeHg433/= /PUIIvvjiC3x9fR9Z7+7duyQkJDB69Oh/yxuIRqOhrKysibpvJCcnhxMnTjB58uTfXY8QgosXL6= LX6xkyZAiSJDFgwAAGDx78u8v+ORkZGRw4cOBXb9KN6PV68vPz0Wq1TZa3atWK8ePH06ZNm18to= 1OnTtTV1f3qw7mmpoby8vLf1K7HSUhICG5ubjg6OpKXl/dIX38v1dXVVFVV/aZ1jx49ytdff81n= n31Gp06dqKqqYvny5QwYMOBfqlur1RIdHU3Lli1p164dBQUF6HS6f7qcxMREnn/+ecLDw1m+fDk= AL730ElOmTPmX2vWfoqKigq1btzYRc0ePHsXS0hIfHx/OnTuHi4sLYWFhj2xbWFhoEpWBgYGMHD= nyH9ZVWVlJREQEffv2xc7OjuLiYvR6/b/UbgcHB8LDw/nss88oLS3Fw8ODfv36ERQURP/+/f/p8= oqLi1m5ciU+Pj5s27YNgE2bNtGiRYs/hKVCq9VSWlr6d/eXk5MTPXr0oFevXk2Wd+3alenTp3P2= 7Fny8vLw9PTk5ZdfpmfPniYx+4+YP38+hw4dYtWqVWRnZzNlyhTc3d15+eWXf1Ob8/LyMBgMv7p= uI7du3SI+Pp6XXnqJoqIi6urqfvO2j4PHbJd+qBqFEKiUZlxOuMLar7/jXFQ07dq154svvuDAgQ= McP36co0ePsnHj3xg9egypt9L4/pu/snPbTmqqah6WJAAhoZRUJCcns33rjwwZPITNmzfz/vvv4= +3tTdu2bfnwww/Zvn07ffv0Zee27dy6cQOl8mH36mo1bPzrBgrzClm1ciVffvkl8+bNY8SIEcye= PZvvvvuO1atX8+DeA3bv2m26KRpFlkTC+Qts+dsWBg8eyoYNG/joo4947bXXmDlzJss+XsauXbv= o17c/27dt5+b1GyhQ/mb34fPnzzNo0CDKy8tJSkri/fffx9LSkldffRW1Wk14eDgxMTEMGzaMHT= t2UF1dTXl5OX379uWFF1545GYVFRVFSEgIy5YtY/78+eTn51NUVMSYMWNQq9Xs3LmT4OBg1qxZQ= 3FxMb179yY9PZ0NGzYQERGBwWBgypQpqNVqVq5cybFjxxgwYAD79++npKQEALVazfjx43nmmWd+= 8QE5YMAA1Go1CQkJCCFQq9Wo1WpOnDjB9OnT+Z//+R/i4+Opr6/nyJEjzJ49mylTprB27dom5ez= fv58uXbqwdOlSevTowaZNm4z7ul8/vvvuO5555hkAIiMj6d69O2q1mtzcXE6dOsWoUaNYs2YNAM= ePH6dbt26o1WrTPurXr5+pXcuXL+eHH37gm2++MV3As2bNQq1Wc/LkSQwGA05OTnzyySeEhYXxz= DPPsGvXrkeE4Pfff8+NGzcYMWIE6enpANy8eZNhw4Yxd+5cQkJCOHv2LPPmzQOMJvkNGzagVqt/= 8eFZWVnJuHHj2LlzJwDh4eGsW7eOgQMHcuzYMbZv386ECRO4ffs2AIsWLWLAgAGMHz+es2fPPlL= e6dOnGTx4MFu2bDH1NSMjg4kTJ6JWq4mNjQVgx44ddOrUiaeeeoro6GjGjh3LkiVLSExMpGfPnl= y9ehWA119/HbVazbFjxzAYDMydO5fr16+jVCrRarWo1WomT57M008//UhbZs2axaxZs0xv5jY2N= rz99tscPnyY4OBgzp07x5w5c8jMzCQqKgq1Ws3TTz9NWloaANu2bUOtVjNt2jTWrVvH1KlTmTVr= FomJiSxevJiNGzeydOlSxo0bR1VVFQcPHjSJla1bt6JWq3n11VcpKCho0q6VK1fy0ksvMX78eNO= yzz//nB49epCens7o0aNRq9Vs2bKFK1euMHToUJYtW8aXX37JwoULuXDhAsHBwfz000+8+eabDB= w4kLS0NIYMGcKFCxcYN26c6fifP3+evn370rVrV86cOUNcXBy9e/dm27Zt/PDDD4wZM4bCwkK++= OIL1Go1U6dO/bui+NKlS5SWltK2bVvq6upYsWIFM2bMIDIykjfffJPXXnuN3bt3ExoayrRp01i2= bBnnzp0jPDyc3bt3U19fT3R0NO3ataN79+589dVXAIwYMYI333wTgFWrVnH58mVGjBjBW2+9RX5= +Pm+++SaHDh1CCEFcXBxqtZohQ4YQHx9PbGwsnTt3ZteuXXzyyScMGjTokXZrNBpqa2vx8/MjJy= cHvV5PZWUlLi4uKJVK0zV68OBBwHjvWbx4Mfv27aNLly7cuHGjSXlnzpyhurqa6dOnY2ZmhpmZG= ZMnT2bQoEFIksS8efNQq9WsXr0ag8HAnDlzmDp1Khs3biQwMJD4+Hjmz5/P119/zYYNGxgwYAAb= N27kySef5NixY2zevJkZM2aYBOFrr72GWq1mz549rF27lqFDh7JmzRrmzZuHwWBgx44dqNVq3nj= jDXQ6HXv27GHHjh1oNBpqampYuHAhvXv3Ztq0aZw5c4bU1FT8/Pywt7d/ZF8VFxfTqVMn7t+/D8= DFixfp0aMHV65coWvXrvTq1YuTJ0/+4vmxYcMG/vKXvwDQsmVLhgwZQlRUFADHjh1DrVYzevRod= u3axdChQ/noo49YvXo1x44dY/ny5axdu5ZPPvmEZ599lpycHA4ePEjjwE9sbCxqtdrU97lz5/Lk= k08SERHB7t27+frrr9m7dy/9+vUjOjqalJQUBg4cCEB0dDQ9e/akd+/eXLt2jf3795v60ng/+ld= 4TOJGevh/YRQECoWCa0nJfPfVN2CAr776iuPHjzNt2jTCwsLo0KEDwcHBjB07lrVr13Lw4EH8fH= 2JOBnBgb0HqNdoG6xAxiGhktJivv36O4YNG8b777+Pj48PBoOBpUuXsmbNGjQaDT4+PnzwwQf06= 9OXLZs2U1tVbRpOOrz/IOmp6Sxbtoyhw4ZhZ2dHXl4eS5cuJTk5GVtbW0aMGMEnn3xCelo6MTEx= KBQKFJJEbnY2679fx6hRT/HRR0vx8PDg9OnTzJ49m3feeYf4+Hjc3d1ZvGQxA/oP4Kedu9HX1xs= dl4Ffckz+OadPn+avf/0r48ePR6/X4+Liglarpbi4mKSkJBYtWkSXLl2YPn06y5Yto6ysjMDAQD= Zs2MDkyZPp2bNnk/L8/PwYNWoU9+7dIycnB41Gw9ixY3n77bd5/fXXcXV15csvvyQ+Ph5zc3MmT= ZqEr68vfn5+dOzYkby8PGpqakhKSmLhwoUMHz6c0aNH8+mnn5Kfn0+LFi2IiIjg5ZdfpmPHjk2G= H2pqanBycuLLL79k/vz5lJeXs3//fqZNm8b169cZOnQoX3zxBZ07d+bdd99lxYoV7N27l5s3b9K= iRYtHLB5PPvkk5eXlFBYWEh4ezvXr1wkKCiIsLIz4+HiEENy5c4fw8HB27drFihUreOutt+jWrR= v9+vXj6tWrXLt2jU2bNvHTTz/RqVMnrly5wpEjR1i3bh2XL19GqVTyzjvv0LNnT/z9/bGysmL27= Nl0796d5ORkTp8+TdeuXXnllVewtrbmxIkTtG7dGk9PzyZm4Pv373P8+HGmT59Ot27duHr1KqWl= pUydOpU1a9YwfPhw2rRpQ5cuXRg6dCheXl6sXbuW06dPc/36dRwdHdm7d2+T/m/ZsgUvLy8qKiq= or69n7dq1JiFy+/ZtUlJSCAsLIz8/n4EDB9KhQwd+/PFH7OzsaN++fZOy0tLSyMnJQa1WExYWRk= BAAAAffvghM2fOJDw8HI1Gw65du7h58ybR0dH07t0blUpFaGgoYWFhvPfee4wcOZKioiKGDx9Ox= 44dWb16NQ4ODkiSxNixY2ndujXnz5/H09OTyMhIxo8fT0hISJO2nDhxgqqqKsaMGfPwLiJJ2NnZ= MWnSJNM51KxZM06ePMmGDRs4f/48Q4cOpbi4mEWLFhEfH8+1a9fQ6/UEBgby3nvvMXr0aKZPn86= YMWPo2LEjb775JuXl5VRXV9OjRw+6devGt99+S3JyMieWgGhoAAAgAElEQVRPniQoKMjklwFGIZ= qamsrcuXObtNfe3p78/Hw++OADPvjgA65fv85PP/2Ei4sLffv2NR3/8vJy1qxZw+uvv05paSkTJ= kwgMDCQDz/8kH79+rFgwQJefvllLl68SEJCAt988w1bt27l6NGjrF69Gnd3d7y9vbG2tubKlSt4= e3tTV1fHkSNHOHnyJBs3bvzF4c7bt28THx9Pq1atUKlUWFpaMmDAAN58800++ugjXnrpJZ577jn= mzp3LvHnzkCSJ2NhYlEolY8aMwcrKCnd3d/bt24eDgwO7du0iJyeHZcuWMWnSJAoLCyksLCQ+Pp= 7Q0FDmzJnD4sWL6dq1K+PHjzcd88Z98/bbb3P06FFcXV3p2rUrd+/excHBgbKyskfa3uhjMnjwY= I4dO4ZGo6G+vh5LS0sCAgLYunUrO3bsIDY2luvXr7Ns2TKKioooKCigS5cu5OTkPHJu9e7dG2dn= Z9MyGxsbVCoVo0aNwtfXl7i4OA4cOIBWq+Wll15CkiQqKytxdXVl27ZtWFtbo9FomDp1Ku3ateP= evXt4enqyf/9+EhIS8Pb2pqysjHHjxjF06FBWrFiBRqNhwIABeHt7c+XKFcD4crZnzx6OHDmCi4= sLKpWKgIAAQkJCUKlUTJw4kdDQUPbs2UNUVBS9evUiJSUFLy8vrKysmvTrzp07tG7dGgcHB27du= kV9fT1CCLKzs/nggw84ffo069ev5+DBg6aX0Ea0Wi3Xr1/niSeeaLLcw8ODQ4cOERERwaVLlxg+= fDiOjo488cQT5ObmkpSUhIWFBQMHDmTw4MHMnDkTCwsLioqKGDRoEJ06dWL79u188803XL9+nVd= eeYWysjKWL19uEna9e/fGxsaGOXPmMHDgQG7cuEG7du2YMGECsbGx7N27l7179zJlyhQKCgo4du= wYu3btIiYm5pH2/jP8GzwKFUgouJd+j+/WfIOLc3M+XfEpzz//PJIkPfKm2+h426tXL/bt20f/f= v05G3mGhPiLqJQqhMLoOHzq1CksLS1ZuHAhzZo1QwhBeno6ffv2JTg42HSCOzs7M3PWTAxaQXRU= DEqlGbk5eUSfjUalUrFlyxYOHDjAzp07eeaZZ4iPjzcJFEmS6N2nN6NHj+bowaPUVtdiMAjOnY3= GycmZ999/H0mS+Pzzz3n22WeJj4/n1KlTvPDCC6xcuRJra2umvzLdNOyiUBodl/8RZWVlJCQkkJ= eXx9/+9jcsLS0pKCjA0tKSF198kfPnz6PT6UwPeA8PD1atWsWePXvw8fEhJSXFdHNtxMrKioiIC= CZOnMiOHTtYu3Ytbdu25erVq6YbQuvWrbG3t+fSpUt4e3tTVVVFZmYmPj4+eHt7M2XKFGJiYtDp= dBQXF5OTk4O3tzebN2/mxIkTNG/enPv379O+ffsm4mbJkiU899xzXLhwgYKCAtRqNWPGjEGlUpk= sGfv27ePpp5/m8uXLZGVlsXnzZgoLC00X/s+Jjo4mKCiIZcuWUVlZiZOTE0qlktTUVBYuXMiOHT= tYvXo1CxYswNvbm/Lycpo3b86DBw9o164ddnZ2vP322wQFBbF161b69OmDm5sbNTU1xMXF8e677= 5qsP8ePH+fJJ5/k0qVLNGvWjAkTJpCdnY2lpSX5+fn4+/sza9YsysvLsbCweMRfZs+ePRw9epTu= 3btja2uLh4cHL7/8Mp9//jkBAQGcP3+eCRMmkJGRgbm5OWZmZmzZsoUVK1ZQX19PfX09jo6OTcp= 87rnnkCSJLl26sGrVKiZNmkReXh7V1dUIIZg2bRq5ubnExcUxduxYnn/+ebKzs/H19X3EEfPHH3= 9k9OjRgPEBMGLECG7evIm/vz99+vThySefpEOHDpw9exY7Ozu+//57lEolnTp14vTp05w7d8607= MGDB/j4+PDKK68wePBgwsLCEEIQExODh4cH69at49y5czg4OJCRkUFw8KM+Zz9/+PycpKQk3N3d= +fTTT5k1axZnzpyhW7dubNq0ifLyctO18NVXX5GdnY2DgwO+vr4m8QPGYYiRI0fi5uaGh4cH6en= pxMXFodPpOHPmDB07duSHH37A1taW1q1bN6nf3t7+F30Xrl+/jlqtJjAwkMLCQmxtbRFCEBsbi0= ajYeDAgRQVFfHhhx+yZcsWhg8fTnR0NPn5+YSHhxMXF8ecOXOIj49n9uzZxMfH8+STT9KqVStyc= 3Np0aIF9fX13Lp1i5ycHCZPnoy3tzeOjo6sWLGC2NjYJkKskZKSEnbs2EFycjLfffcd7u7uGAwG= bt++jZ+fH+bm5qSmphIYGIibmxtbtmwhJCSEY8eO8cQTT7B582bTuRAYGEh4eDhCCJo3b878+fP= Ztm0bzzzzDBEREXTo0AEhBPfv36d79+4ArFu3ju7duxMdHc17771nchJv1qwZdnZ2bNmyBR8fH/= z8/JpYwxrJzc3F2dmZbt26ER8fz4MHD6ivr+fw4cN88MEHBAcHo9FosLCwwMvLi61bt+Lp6Unfv= n1JTEx8xBqkVCqxsbF5pJ6YmBgsLS2ZNWsWWq3WJBKvXbtGTU0NvXr1IjU1lZ49e+Ls7ExQUBBF= RUXEx8fTo0cPCgsLcXNzY8KECVhaWhIZGYlOp6O0tJTY2Fh69+6NEIKioiIWLlzI8uXL+f777/n= iiy/w9vbmrbfeQqvVcuPGDVxcXNi4cSO9evVi0qRJ3Lp1i5EjR1JVVUV2djZ+fn6PtD8hIYEuXb= oQEhJCRkYGZ8+epXXr1ly4cIHnn38eW1tbysvLsbe3f8TPbN++fUycONH0vaCggJ9++ong4GBOn= DiBm5sb69ato6CggG7dupGamkqXLl3YtGkTAwYMYNeuXYwfPx4nJydsbGwoKytj+/btuLm5cfXq= VZYvX45WqyU7O5ugoCDOnDnDzJkzAaP/Wr9+/TAzM6Ndu3YUFxdz+PBh2rdvz5EjR7C2tmbv3r0= ma84bb7zBiRMnHhFo/yyPVdwYp19L1NVqOHr4GCXFJcydO5ennnoKMzOzh869DRgMhibLWnl58d= 577+Ht5c3B/QepKCtHQqKqpoqrV64yZvRo00HX6/UsWLCAAwcOsHv3bj7++GNTOYGBQXTt1o2EC= 5eoq9OQmpqGSmXGhx9+iE6n45133mH+/PlkZmYye/ZsFi5ciL+/PwCWlpaMGDGCkuIS7j+4T3VN= DbdvpzNp4iQ8PVty/fp1duzYgY+PD5s2bWLjxo2EhoayatUqLl26ZDKhxsbE/qZhqZiYGJPfibe= 3N3FxcaSnp7N3717atm1LQkICJSUlREZG4uPjQ35+Pubm5oSEhHDkyBFOnz79yIMjKiqKcePG0b= t3b8BoMnRxccHW1tYkDM3NzSksLOT48eMMGDCAsrIyamtradGiBZGRkfTo0cMkUHbs2EH//v25c= +cObm5utGvXjiNHjhAZGUlAQECTY3r58mWaN2+OUqmkZcuWpKSkcPfuXcLCwjhw4AB1dXWsWrWK= gQMHcuHCBYYPH45Op2PFihUoFArc3d2b9GXfvn28/vrrVFRUkJCQwMiRI4mJiWHChAkmIXTx4kX= atm1LSkoKGzZsYOrUqVy7dg0HBwcsLS05f/48FhYW+Pn5odfrcXBwoEOHDuTk5ODv78+iRYsoLy= 8nKyuLwYMHc+3aNZ544glu3LjBK6+8gpeXFw8ePCA0NBSlUmky0f/c4bukpISsrCx69uzJhQsXK= C4uxmAwkJ+fT5cuXdi+fTsnTpxg2LBhpKWlYWVlRVFRESqVCk9PT44cOUJ5eTldunRp0v+8vDyq= qqrIyclhy5YtzJgxg9u3b2Ntbc2LL75ITEwMXl5epKen89RTT1FUVMSSJUto1apVE3FTWVlJdHQ= 0Tk5OZGdnm/qampqKp6cnFRUVfPTRR1RVVVFYWIheryc4OBitVktKSgpBQUE899xz3LlzB4VCQX= FxMYGBgVRWVnLixAkKCgq4dOkSLVu2pLq6mtatWxMQEMC+fftISEigbdu2TfrVoUMHampq+PHHH= 03LLl68SFJSEleuXOGVV17Bz8+P4uJiJEmirq4OT09PnJyciIiIYMqUKVRUVBAeHo6bmxt2dnZs= 3bqVHj16kJ+fT05Ojkn0e3l58emnn6JQKLC0tMTMzIzKykqTs2ZjfK7GY2pnZ8eSJUtMy9LS0jh= 58iT37t0ziYWXX36Zzp07k5WVRVhYGAsWLCA5OZmXXnqJ+/fv4+/vj52dHeXl5SxcuJDMzEzatm= 1Lt27duHXrFgMHDqS8vBwvLy9KS0tZtGgRQ4YMITk5mX79+jF27FjTsTl9+jRt27alsLCQlJSUJ= vuxsrKStWvXMn78eHbs2METTzxBmzZtTA/Jli1bolAoOHToEF27diUtLQ0fHx9eeOEFwOinExUV= xciRI0lKSjK9rPzwww/4+vpSVlZGdnY2rVq14scff6R79+4UFhZy48YNfH19ycrKoqCggICAAIQ= QeHp6otFo+OGHHwgMDCQiIsJkrT9//jz9+vXjfxMdHU3nzp2xs7Nj2LBhvPPOO6YXtw4dOlBdXc= 3+/fvx9fWloKCA2tpaRo4cycWLF3nppZceKS8oKIgjR46QlZUFGB14z5w5w6VLl+jbty8ajYYtW= 7bQtWtXVCoV169f5/XXXyc2NpaFCxcSGhqKRqPB39+fLVu2MGvWLKytrQkICGDBggWkpKQQEBDA= zZs38fT0RKlU4uzsjMFgYPfu3UydOpWOHTtSXFxMamoqLVu25PDhw6SmpqLRaCgqKiIkJIRt27Y= xc+ZMkpKSWLJkCePHjyc3N5f79++j0+ma+LdUVlai0+lwdnbGy8sLrVbLtm3b8Pf3p7KyEm9vbx= QKBStXrqRTp07Y2tqatq2trSUyMpJJkyYBcOPGDRYuXEj//v1Rq9VUVlaarncLCwvi4uIIDQ1l6= tSpAGRnZwPQo0cPzM3NcXFxYcWKFXh6eqLT6XBxccHNzY0vv/zStO369euZMGECGo2GpKQkhgwZ= Ahj9q6KiosjOziYwMJDc3FyUSiXt2rXDxsaGpKQkzMzMUCqVHDhw4JFj+08hHgMlJSXi3ffeFTv= 27BY/HdonPl75iWjh0UL06t1LVFZWCiGEqKurE9euXRNXrlwR5eXlwmAwCCGEyMrKEpcuXRK5ub= lCCCFqa2vF0qVLhY2NjZj1+kyx78he8f3f/ipatvIUG/+20VRnXV2d8PLyEjR45XTp0kUIIUzlL= l26VLi6u4lNP/4gJk6ZJLp06SI0Go0oLi4WERER4oUXXhAuLi6iffv24p133hG3bt0ylX3//n3h= 5OQk5r45T3y94VvRxt9XHNi3XxgMBnH27FmhVqvF4sWLhU6nE3q9XqxevVoolUqxevVqIYQQr77= 6qvBq4y12H9gjPvrkI7Hxbxt+cb/t379fuLu7ixYtWoiAgADh5+cn+vTpIw4fPiwcHR1FmzZtxH= vvvSeqq6vFqFGjRPfu3cX+/ftFSEiI6NChg5g2bZoICwsTH3/8cZNyu3XrJtLS0kzfN2/eLLy9v= UXPnj3F3r17hVarFfn5+WLRokUiOTlZGAwGERkZKRwdHcXixYuFj4+P8PX1FfPnzxcajUb07NlT= hISEiJ07d4ohQ4aIgIAAMXv2bBEWFibCw8OFXq831fX999+LNm3aiLCwMLF7927x+eefi1atWol= OnTqJzZs3ixs3bghJksTkyZPF+vXrRVBQkFCr1eL9998XTk5O4tq1a6ayHjx4INq3by/atGkjBg= 8eLKKiooROpxMBAQEiMzPTtN769etF69atRb9+/URCQoKorq4Wc+bMER4eHiInJ0e8+uqrwtfXV= 0ycOFHcunVLFBQUiDFjxohu3bqJsrIyIYQQSUlJolu3bmLRokViz549wtPTU8ycOVNMmTJFhIWF= iffee0/4+/uLgIAAsXTpUhESEiJSUlJMbdBqteLFF18UAQEBYsyYMaKgoEDU1tYKGxsbERgYKGb= MmCHatWsnFi9eLFatWiViYmJEXV2dmDJliggICBDTpk0T6enpj5wjmzdvFg4ODuK1114Tnp6eok= uXLuLrr78WkZGRQgghRowYIZ566ikxadIkERAQILp37y5mzJgh+vfvL0pKSkzlJCQkCBcXF7F+/= Xpx5coV0b17d/HWW2+Jy5cvi3bt2onu3buLlJQUUVpaKmbNmiXatGkj+vTpI+7fvy9Wr14tDh06= JIQQIjw8XISGhor9+/cLV1dXERYWJvb8v/beOzqqcu3fv6ZlMi29k4SWhIQaOlJCkCJFhKOIHAX= EgoJiQQUUeQUB9auIiiIqICKKKKEIBAQTwNBbQgstCYSQkIT0ZDKZvp/fHwOjCFjOQd/zO+9ca8= 1aSXaeMnvvNfue576fz2ftWmG1WsXkyZNFp06dREpKiujRo4eIj48XTz/9tOjcubP48MMPb3hvJ= 0+eFDExMSIuLk7ExcWJGTNmiBMnToiXX35ZXL58WQghhNVqdV+/rl27iuzsbPHZZ5+JhIQE0bVr= V/Hss8+K4OBgsW3bNqFSqcTzzz8v1q1bJ8LCwsTChQuFEEK88cYbYtmyZe77ftiwYSI2NlYMHDh= QlJSUXHf/CiFESUmJSEhIcM9r7Nixory8XBw8eFB07dpVxMXFiW+++UaYTCbxxhtviPT0dGG328= XQoUOF1WoV06ZNExEREeKzzz4T77zzjqipqREPPvigOHLkiNi1a5eIiYkRb731lvj+++/d93dGR= oaorq4WL730kjh9+rSor68Xjz76qEhOThaNGjUSsbGxYsSIEeLSpUvueZ49e1YMHTpUGAwGYTab= xdtvvy0MBoNo3ry5OHTokOjWrZsYM2aMyM3NFVqtVkyaNEmMHz/efS2FEGLfvn1Cr9eLuXPnitT= UVNGlSxcRFxcn0tLShMViEevWrRM6nU707dtXDBs2THTu3FmsXbtW+Pj4iE8++USkpKQIHx8fsX= z5crFo0SLRpk0b0bp1a5Geni6sVqtISkoSRqNRFBcXi2HDhol7773XPXZBQYHo06ePaNq0qft+z= s3NFf/4xz+Ew+EQ27ZtE+3atRPt2rUTn376qTCZTOLNN98Uq1atEkIIMW7cOBEZGel+dlyjurpa= vPDCC6Jx48YiLi5O9OrVS+zdu1dUVFSI6OhoERMTI1566SVRU1MjCgsLxQMPPCAqKirEgw8+KIx= Gozhy5Iho3ry5+OKLL4S/v7/7Om/fvl3Y7XaRnJwsJk6cKDZs2CAiIiJE27ZtxUcffSQuXrwoIi= MjhdVqdX8mjBw5UsTFxYlZs2aJmpoaUVZWJvz9/cWHH34o7r//fhEXFydGjhwp+vbtK3r06CGWL= FkiunTpIo4dO+Z+lmVmZoq+ffuKiIgI93tNSUkRixYtEk6nU6xevVq0b99exMXFidTUVGGxWNzn= ory8XDz22GPCYDC4P7+6desmNm7cKEwmkzAajeKFF14QzZo1E3FxcSInJ0dMmTLFfT2EEGLLli0= iLi5OLFvmev6+/fbbYunSpUIIIY4ePSp69eolYmNjxcqVK4VOpxNz5swRMTExonPnzuL48eNiyJ= AhYsSIEUIIIXbu3ClmzZolqqqqhNVqFW+//bZo0qSJiIuLE6dPnxavv/66iI6OFo0aNbruWfCvc= NuDm5Tv14qnnn1a6HRa8fnnrod6cXGxePzxx4Wfn58IDg4WQ4YMEWfPnhVff/21iI6OFoGBgaJ5= 8+Zi9erVwul0ip9++klER0WJzt06iTWpa8VnyxeLRpGNxBdffOEe02KxiPj4eCGTyYRcLhe9evU= SQvwc3MyZM0eEhoWIFd9+LUaN/qfo1KmTsFis7uNOp1OcOHFCTJgwQQQEBAg/Pz8xadIkkZmZKX= Jzc0VAQIB4bsrz4uPPPxHNYpqLjRs2CEmShMlkEvv37xc1NTXuvhYsWCCUSqV45513hBBCTHxqg= ohuGi1SNqwVs9+8dXDj4bfZsmWLeO+99257v3PmzBHHjh0T5eXlIj4+XsyZM+e2j/FrbDabMBqN= orq6WowePVrU1tb+5WN68ODBw/9Vbuu+OBngdDooLS7By8uLTp06YbfbWbt2LWvXrmXq1KkkJCR= w6NAhsrOzee6552jbti3PPfcce/fupaamBkmSiIqKwj8ggLLSMszmBtRqb/R6PVlZWYwZMwa5XI= 5KpeLtt99m3Lhx6HQ6pk2b5p7HtaX0iIhI1zJaSDB7M3ZTUuKqG3E4HPz4448UFxczaNAgsrOzK= Skp4dixYzz00EM0a9YMm91GcHAwGo03Or2eQ4cOc/fQoRQUFPDRRx8RGBjI1KlTMZvN7Nq1y50q= amhooLqqmrDwMBRy+R/1l/DwC8TVeqply5bRtm3b297/tVx1dnY2L774IkFBQbd9jF+Tl5fHokW= L0Ov1DBs27KY7ITx48ODBw+3htgY3EhIICaOxDp1OT3h4OFarlXPnziFJEo8++ijBwcEMGjSIXb= t2UVlZSY8ePbjnnnvo378/Xl5eyOVy/P39CQgIoKikCJvZiq+fP+06tGPjxo1MnDiR+Ph45HI5H= Tt2RK1Wo9FoaNWqlbtY+eTJkxw8eJB+A/qhVquJjY3FZnewatUqpk2bhsPhIDs7m2+++Qa73Y6/= vz/vvvsubdq04ccff+S9994jMCiQxo2j8VJ7EdciltUpqxn/xHhCQ0Px8/Nj+fLl7or106dPM37= 8eLp168bJkyc5ceIEA+8ejFwuvyqQ7Ilw/ixOp5OBAwfetDDw3+XNN9/k5MmTgKt49Jc7dv4qoq= Ki6NOnD0II7rvvvr98PA8ePHj4v8ztM87kqtWCHBRKpVsqWq/Xo9VqcTgclJeXYzAYyMnJwWw2A= z9LQufl5SGTyUhISMBut2OxWFB7eaFQKJDLoF+/vmTszODdd99l3rx5BAQE4HA43C9xdddVeVk5= Hy74EIVKSc/k3jiddsIjwunb/04+Xvgx3bp2I7lPMk899RSDBw/mo48+4sEHH6RHjx7IFXKaNmu= KJEkMHjoErV6LkAS9k5PYmb6DuXPnMn/+fF5//XViY2PZtGkTBoOB9957j2HDhmG1Wlm8eDEypZ= wOnTthlxwIT1zzp5HJZMTHxxMfH/+X9N+lSxe6dOnyl/R9K/R6Pffee+/fOqYHDx48/F/ltov4y= WVyQkNCMJlM5OTkuPUWoqKiuPfee7n//vsZNWoUFouFgQMHsmbNGoYMGcLdd9/N+++/jxCCkpIS= Kioq8PPzQ+2txik5CQgM4OlJT7F161ZmzZpFQUEBBr2BKVOm8Nxzz6HRaCgsLGTmzJns+Gk7Yx8= Zi86gRcLlknn3sHuIbhbNCy9O5ocftiBJEs2bN2f69Om0b98ek8nExo2bePHFF4mLb0FSchJOux= NJSERENeLJpyeyfv16Xn31VYxGIxMnTmTbtm2sX7+e++67j9raWl5++WXS0tMYNWoUarUX0u/4g= P6avLw8vv766+u0ICRJIj09ncjISIYMGcKFCxeua7N7925iYmKIjIxk9erVN+3X4XD8YdXYP4q4= 6v9yzYumoqLi3+7zq6++Ijg42K0R8WssFgtFRUWEh4fTpEkTXnnlFV544YU/NUZNTQ2VlZV/qs2= xY8cICAi4pTgWuOTJ+/Xrd9Mtz78mPT0dX19fsrKyqK2t/be3PP4au91OWVnZH1aMdUqC77MqiJ= 126IZjdWYnNofrRq4w/nE1Y7NdYsp3rnt1++katp++Ud/kX8Fil7DYXbtIpq/N58u9pbel3/8W1= mZWsC27mjGLz7AkowSAgfNPkH66+m+fy4+nqkk5XE7M1IP8dPb2XP9/FYtd4umvcpnwpUsA0ikJ= Pt5RjMMpkASsz6pgwpc5N3xmV9bbGfDuCeJfOcSOMz+/h8P5Rr47VP53vgUPf5LbsnLjspcUyGQ= gVyiJaNQILy8vl25Nnz706dOHBQsWkJqa6tbmuOuuu+jRowfLly+nsLCQfv36MXbsWORyOcePH6= eqqoqk5CTUam+cTidCCFq1asXYsWPYtGkTR44cITk5maioKCQh8f7777Njx3asdisPPTyaFi1b4= HQ6XCadCFTeKh594lHWp6zjxRdfpFOnzu4tc9XVNRw5coRjx4/Spm1bht4zFIVc4Q79HJKT9p3b= 8+gTj7N5YypZR7PondSb0LAwEMKlOZDxEw6HgzFjxxDXIg5JOF3+VlfP0O9RU1PD3Llz6dq1K35= +fu6/Hzt2jPfee4+jR4+Snp7Ojh07rrMB6NWrFwMHDmTAgAHcc889N+178+bNKJXK35VU/zNUVV= WRlpbmFsq7cOECTz311L/VZ2JiIoMGDbpB8A1cKqZLly5l69at7N27l2bNmpGamvqntwumpaVRX= 1/PI4888ofbhIeHM2PGDLdcwM3w9fXljjvucCsg/xaNGjVi8uTJREREuNOz48aN+8Pz+T2uXLnC= d999x+OPP/6b/lbXMFqcZJyrxeG8UVr91bX5PNIrDH+tkmdW5pH6/O+/P4ANWRXc2zEIm0NQbbL= Tpfm/X2NkcwhWHiijSZCavgn+vHlf099v9H8Is12ixuRABpwqbiCphetzZOuLt79u7fewOSSqTQ= 7OljRQb/3XbBluJxfKLZwpaSA21CWMd7bETISfF3I5lBttbDxaidl24zwf/fwcw9oH0a+VH9PX5= NMmUkewQUVxjZWuzf4+nyQPf57bEtxce4BLwhXgNG7ahEYREaSkpPDQQw/Ro0cP+vfvT3Jysltj= BX6WW7fZbHh5eSGTySgtLSU1NRWH00H3pJ4u520ZIJMhCejQpRPhkREcP3GC3fv2uG0SvLy8SOz= cgbbt2hISHnLVKPOav5UMIUn4+vsx8sEHOHf6HCeOn2TdhvVug8zg4GAeGvMQcS1aoNFqkGSSOy= SRyVzu3526diAiIpzjx46zZ/9e7HY7QhJ4azR0uaMLbdu2JSQkBEnBVZOtX75uTXV1NdOnT0cIc= Z0eiM1mY/Xq1YwcOZKgoCC3TPkvMRqNlKxIR7MAAB9cSURBVJWV0b17d+bNm0dQUBB33HEH77//= PsOGDePs2bMsWrSImTNnYrFYWLx4MVlZWXTv3p3w8HDWrl3La6+9xqeffkqPHj1Yv349CxcuZMW= KFQghePjhh9Hr9UyePBm9Xk9DQwOPPvooM2bMQKFQ0KpVK1JSUtxCWikpKWzevJno6Giee+450t= PT+eGHH5g6dSrbt2/H19eXsWPHUlxczGeffYZSqcRsNvP0009z8OBBBg8efNNzlJOTw549e5g9e= 7Y7uOvXrx+xsbFIkkRaWhqrVq0iMDCQ+fPns2fPHpYuXcqYMWP45ptvGDRoED179iQjI8M919zc= XObPn49CoaB3794kJSVdp7OzfPlyMjIyuOuuuzAajTRq1IgPPviAY8eOceeddzJq1Cj3vXxN6PC= aBs769evZsGEDffr0wWazuf1bhBDk5+cTHByMXC5n/fr1DB06FIAVK1awY8cOOnbsyDPPPAPASy= +9REVFBWPHjuXixYtu87zNmzfTtGlTt8rnkiVLaNGiBVOnTuX48eNUV1ejUCiwWCx888037Nq1i= 549exIXF4ePjw+HDx9m7NixqNVq/LRK7kkMZPPxSr7ad4WfztbwXP9IvjlwhbVHyimsslBncXK2= uIGZ6y/SoYkBk9XJ9tPV+GqVPNwjFLlMxoIfi3j+rkhaN9JxudrKqK4hXKyw4KWUE6RXcbq4gfl= bC/FWyXnl7mhqGxx8vqsUL6WMHrG+6LwUrDxwhcgANc/1j0SlkDF9zQUabBL9WvlTbXLwYVoRzU= I0tIvU892hMpqHaDhT0kB2kYm7EwMJ9/Vi+Z5S3r6/GZtPVLH9dDUtI7Q83bcRdWYn834opMpkZ= /QdofRJ8OPH7Gq+O+SyX3i2fyRBeiUr95fRrbkPX+4tZUi7QMrrbBzKN/JoUjjBehWbT1QSE6Ih= 9VglIzoHk3nRyPkyM88PiKRVIx3LdpeyN7eWAJ2KcT1DadVIx8QVudyTGMiaI+UM7xDEXa39Wbi= 9GIO3y8RxfO/rTXInf5NHncVJYmM9j/YM42ypmW8PXHHd960CqG6wk5b982rM03c2QqGQER2opk= +CH9uyf14NfHZlHi8NisLHW8GnO4vJvWKmdSMdk++KZMeZGlYdKMNXq+CxpHBqGxykn64mMkDNo= QtGJg+IJDZUw4urztMk2Js2kTp6t/Djw/TLnCisJ6mFH2O6h5JyuJy8Kw3461Q8dWcERdU2tF5y= pg6OYuW+K+w6V8tX+65wZ4I/FrvEvrxaBrQOoGNjPe/8UMjANgHc2/Hnwv7Mi0bOlpg5W2KipsH= JY0lhJEbrmb2hgIJKC4nResb1DHOfP4CMczWcLDKhkMvIKTXzZHI48eFavtp/hf25dXir5Mivlg= kU11hpEaZFLpOx82wtOrUCxa/yGJerrWScq2HGPY1pEabF5pDYl1dH9xgfbA6B3vt/14DTw29zm= 1ZuwJWSkqGQKwgKCSG5Xx8WfbSI1157jaVLl9K0aVO3kN8vuSasJVzb0lmxYgVbtmyhd5/eNG3W= DCEkFDIFMhnIkIFCRnSTxkQ2juauwU6ckhMEKFQKFHIl8murSLeYq6+PD526dqFDl844nRKSJCF= XuOatkLkczUFw7ScXClcEJ5MR1bQxkU2ikZwSTsmJkARKhQKVUuEKqIQAIZDJZSCXIZcrr+vpZk= ybNo0ZM2Ywf/786wwzrzkcd+vWDYfDQUFBAY0bN76ubWZmJv3798fX1xdvb28uXbrE/v373TLej= Rs3ZuTIkW7bg4CAAGbPns0jjzzCW2+9RXh4OA8//DByuZwRI0YQFhbGG2+8QWRkJGVlZZw/f55/= /vOfLFiwAEmS2LBhA1FRUSQkJNClSxdiY2MRQqDX61mxYgVZWVm8/vrrrF+/nnXr1pGUlMTLL79= Mz549qampoaioCLvdzqRJkxg/fjze3t4888wzTJ48mcuXL1+nonkNSZLcFhe/VDD29vamRYsWbN= 26leXLlzNz5kyWLl3KypUr6dixI+Xl5aSkpDB+/HhWrVpF//79KS4uJigoiEOHDvHJJ58wZcoUS= ktL+frrrxk4cCDgCiqvWXrMnDmT+fPn06NHD2bMmEFMTAzjx4/n8OHDmM1md3CTlZVFYmIiBoOB= L774guzsbF599VXef/99t5IruAqlz549S5cuXQgMDHSfu4ULF1JQUMDLL7/sNvsbMGAAzz33HGa= zmYKCAjp06MAHH3xAq1atkCSJgwcP0qxZM9577z1effVV5s+fj1wuR6vVotVqkclkvPbaa4SGhj= J79mySkpJIS0sjMjKSqKioG1RMK4x2jhXWExem4fusCp7u24jtp2t4MjmC8+UWvjSXMqC1Py98e= 568K2ayXu/IB9sus2x3KTOGNmbm8CYEG1QcOF+Hwdv10VLT4EASAq2XnKEfnGTpIy3YerKKz3aW= sGx3Cf46Fe8+0Aw/rZKHl54lfUo7FvxYxEfpl9Gq5agUcnrH+/DV3it8PCaWjHM1/KNDEMt2l/J= BWhFvjWjK6DtCGfjuCd77Z3OKqqw83COMjHO1rNhbypJHWjDlu/N8e7CcfXm1dG5qoMqk5P9tuU= STIG8yztXw/IBIMs7WMP6Lc7SL0vPtwTK6NPPhxYGRPLUih0n9GuGUBJ9sL8ZLKWPNkXIGtwvkv= o5BPPTZGZY/Hk9GTi2bjldSXGPjQrmFWcObsDunljmbLlFvdpB2upqaBgedmhj44UQVyfF+FFdb= CTKoOHCh7rrg5rX1F2kZoaNLMwOzNhSgksuYvaGAcD8v3nmgOV2aGugyO4vF4+JYn1mBU0BChJY= 9ua6HtFL+8+fN9DX5LM0o4bGkcNKyq7A5Bf9zT2NGLjqNUilnb04tc+9rwsajlUz97gJX6mycLm= 5gUr8IfDUKdp6pYVt2NUE+Ko5dqqey3s6JIhPnShsY3zuc5785T3y4loPn62jfWM+CH4t46s4Iq= k2uFKZGJcfmkCissnBnS39e//4iO6e141B+HWqljKhANV5KGX1b/rxaXVlvZ+KKXPLKzMx/oDk7= z9Zw4HwdGedqMVqdPHVnBG+kXqJzUwPdrq4IniwyMWPtRU4U1TOhTwQWu0TuFTM5pWZSDpUzc1g= TJq/KQ5Kg2uTgQrmFpsHeV9vW0yPWh+2/St3VNDgx2yUSo12CeGqlHKPZQUmNDblcRqDuzzuge/= j7uE0rNzKMdXXs27cPL6WKsPBwevTqxYX8fH5K38n06dPdtuxyufyGAEeSJOrq6liyZDFz586lS= dMmDB12DxXl5eTl5KC45uyNDEnmCj5Ahvy6at2rqyNXV3pkt1gtcdlgyrh+B5MrIBLIrhYAi6u+= UMLd5pf/L7uhLUgy4T4mE+Jqqk5GUeFlgpNuvtXY4XAwbdo0BgwYwLlz5ygrKyMkJMR93GQy0ah= RIwICArDb7RQVFbmVHsH1oNyxYwd33XUXkiThdDopKChg3rx5vPLKK0yYMIG0tDTuv/9+6urqOH= XqFFOmTGHkyJG89dZb1NfXc/ToUTZs2EBAQAA7duygoqKCwYMHExUVxXfffce6deuYO3cu/fr1Y= /PmzSQmJrrVjZOTk92rD88//7zbAbZx48aEhoZSXV3NhQsX6NGjBwqFgvDwcPz9/ZkxYwbDhw9n= 0KBBrF27luHDh7sN824lyX9NLv3XD2SHw8Enn3zCrFmzSEhIICQkBJvNRn5+vttvqKioCIVCQVl= ZGcePHycxMZH58+czevRoWrZsyfnz54mPj3dvzz5z5gyXL19m5syZeHt74+XlhRAChUJBcnIyH3= /8MUlJSe6Uz7XgKyEhgfr6en744QcWLFhAYGAgubm51/kUWSwW9u3bx4MPPojD4SA1NZVJkyZhN= Brdqao5c+awYsUKd63awoULGT9+PPn5+bRv356goCBMJhMDBgxg8eLF/M///A+JiYmsXLnS7bXl= 6+vL7t27KSgo4J133iE/P58mTZq4U2u/9q0BCDKomP9Acxb/VEJmgZEwXy+8lDJCfb2oMTvcKyw= T+0RwvNBEdIA3Y3uE8kHaZcw2iehAl1N9udFOv1b+SAIuVliIDvRmy4kqGvm7VhX6JLgeZEktfP= nsp2IGtglgya4SSmtt9J93AoBBbQN4fkBjdp6pYfbGAuQyGf46JTq1gmAfFaO6hnD4ohG5TEawQ= UVcuJYThSb03gp8NAo2HqvkyMV6d3+dm/lw6rKJqYOjiAnRMG1wNN8cKMNLIaNNpI42kToO5htp= E6Ujv9zA5hdac+pyA4nReu7rFIzdKbhUaeXBbiGUGe18OyGBn87WkNzCj05NDDQL8sZqFxwtqKd= pkDdRAWq6NDOwO7eWN+5tQsdZmcwc1pj95+vYm2dDJoMTRSaGtAtg4UPXpzvXZVaQOasDaqWcEZ= 2C2JdXx6KxsWw6Vknfq+cuSK/iSq3rIeslB0kIahoc7gf2Nd4c0ZRlu0uoMtk5XdzAPe2DaBLkz= aHXOrDhaCUfFRgZ8v5JZMhIjvelXyt/Vh8q4/+NaMabqZfIr7Bwf+dgnliew4Q+4QxrH8QTX+Zw= IK+OHVfrqC5XWTFZnew8U8PiR1rglASXqqzuuahVch66I5TkeD9W7Cnl4Hkj93YMYm9uHVovBZ2= a+qBWyrlUacUhSWi9FLw8JJpd52q4v3Mw+/Jqqax3kFdmZsbQaJqHaFg3qRUWu8TFCguSEIQYVI= zpHsqPp1TMHNaE19blc7q4gWOX6uke40PHJnq6NvOh3uqgzuIg1EdFTIiGoQuyWfBgc7aerMZoc= XK52kpUgOs+VillKOQy7E6BSiHDKblWaxySIFCnRPbb31k9/C9zW4IbuVzOpYJCNm/eDAiax8Ty= 5NMT+efo0YCMrdu2UlRUxNixY+ncuTMhISF4e7tqaaqrqzlx4gQpKSmsX7+elm1aMeqfo9DqdXz= y8SccOXBjkaOLa/uzbgNC8Gfu1Jt5ZN0KuVxOxw4db3qstraWiIgItm3b5patzs/Pd8vCK5VKDA= YDCoWCbdu2IZfLrytYLSwsRKVSERMTg8ViISsri/vuuw+j0UheXh7h4eFUVVURERHBnj17OHnyJ= B999BFz5swhJCSE/fv3M27cOPz8/HA4HOTn52MwGBg8eDDvvvsurVu35tSpUwwcOJAzZ86wevVq= HnvsMQ4cOIDBYMDPz4+0tDTGjh2LUql0BzAXLlxg48aNvPLKKyxbtgytVsvw4cNZuHAhiYmJPPn= kk1RUVHD48GEWLFjAsmXLOHPmDFarFZXq5t+GQkJCyMjIoKioiGbNmrm1jLy9vbl48SLt27cnOz= ub1NRUvvjiC3bs2OF2S1+4cCHDhw8nOzubiRMnUllZSUNDAx06dGDHjh0sX76cGTNmuMc6deoUi= YmJWCwW5s+fT2FhIfHx8Rw4cIDy8nKGDh16Xd1TeXm5WzL822+/pW/fvnh7e7No0SK3bPs19u7d= S6NGjXA6naSlpTFu3Di3q7rBYODEiRP4+vpy5MgRcnNzKSoq4r777iM0NJSFCxcSHBxMr169yMz= MpG3btjz++ON8+OGHbrsJf39/amtrSUpKYu7cubz11lsUFhYyb968P1Vn9HvUml3p4DKjHR+Nwr= 1Eb7Q4sTsF3io5khBcrrYyvEMQJ4tM5JdbuFBuoVmwN8cLry9wD9Z70TxYw7pnWhGoV3G2pIF3t= hRSUGnlieQI1hz+7eLN8b3DWbj9Ms/2jyQ0yJsgvYruMT4sfaQFkhBcqbOxMauCM8UNxIRoOHih= Dj+tkosVFqpMDgJ0Smx2iQg/9b91XrRqOZkXjTyWFIbdIfBWyvFS3rhvw0sh57VhjSmqsnL3gmy= Ovf7zZ4S/TsnqQ+WM6R5KvVUiMuDGOXWP8SH9dDVBBhXTBkdjsjpxSIKYkBuDVnCtOngp5Zy6bK= JnrA9mu8SVOhvx4Vo+HhNLoF5JfrmVAxfqbmgrl8F7o5qTerySl9dcIFivYmSXYN68rynFNTaEc= AXGRouDx5adY+WTCZTW2vhHh+u/1F2utgLQvokehUzGpmOVrNhXytdPJJB7xcwXe0qpqrfTOlJ3= 0+tg8FawNrOCqYOiuFJn43yZhZTD5ZhtThKj9VgdN9aMabzkXKywAFBndpB7xczp4gZ0atf92jh= QzTtbCsmvsFBUZeWrfVeYfnc0AHGhGjo2NrD2SDm9W/hhdQiGJgby2U8l/LNbyA1jefjPQjHrmm= f5v4HVamX9+vWcPXsWSZKoramhrr6e9p060Lp1a3QaLZmZmWzcuJGMjAzS09NJS0tj3bp1rFy5k= lWrVpGXl0evO5MYOWokoWFhbPx+IzvTtrs9Nq69fH19GTFiBHfdNZD4+HiEELRs2dKd0jAajVRU= VFzX5tpLLpfTvXt3QkNDqa2tZfjw4Vy5coV7772XYcOGYTabKSwsvGlbSZJQq9UMHDiQYcOG4eX= l5fZMatmyJbm5uTdtA670wrUH7S/RarV0796de+65h08++YSVK1ei0+mYNWsWAwYMQK1Wu2tHLl= 26xNSpUwkNDQUgPz+fp59+mszMTDp06EBdXR2lpaWMHz+elStXcuTIEdRqNdu3b8dut9O5c2f27= dvnTg2GhYWRlZXFgAEDCAoKorq6mt27dzN69GjCwsIYN24cISEhXLhwgU2bNnH27Fny8vLQaDTs= 2LGD/Px84uPj2bBhA4cPH6Z///5kZWXx1VdfkZaWxhNPPEFUVBRpaWksWbKE/Px8li5dir+/P1l= ZWRw8eJDc3FyOHTuGRqMhJyeHy5cv069fP5555hk6derkXkmRyWSEh4eTk5PDl19+SWpqKqmpqW= 636szMTNatW8fJkyeZNGkSTZs2Zf78+ezfv59NmzYxYsQIBg0axMKFC9m/fz99+vRhzZo1bN26F= Y1Gw5IlS2jTpg0dO7oeMOXl5bz//vtcunSJS5cuUV1dTYcOHSgsLEQIgcPhoE2bNgQHBwNw4cIF= t9O5j48Pn376KefOnSM7O5vCwkJ69erl/t/Zs2dTW1tL7969+fzzzzlz5gzJycns3LmT1atXY7f= bad26NWazmfPnz7vvE41Gw4EDB1i8eDEnT55k5cqVREVFUVtby5o1a6iqqqJdu3Y4HA7mzp1LVF= QUpaWlbNmyhZycHPbt28f58+fp06cPy5Yto1WrVqjVrgdITYODT3YWc+B8HWa7xE9na8m6VE/rR= jp+OFlFXpkFP62SzccruVJnx2SVOFpQz86zNezPq2Nk5xBkwLSUC8iu1sZ1bGJgf14dDTbXsn6o= jxc5pWY+31XCzqu7Tj7fVUpOqZm2UTq6NvfhTHEDy3aXsi27ihbhWi5X2zh2yUhRlZVTl02oVXI= Kq6yknaqmpMbGpmOV2B2Czk0NJEbr+SCtiDAfL/ok+BHpryb9dA1rjpTzY3Y13Zr7EhOq4cP0y/= x0pobTJQ080iuMIxeNLNtVytaTVSQn+FFtcrDhWAV1ZleR9d7cOix2ic3Hq7hUaeVihYXMi0Zkw= JrD5WReqqfB5uSHE1VUNdi5q1UAB/PrSD1WycF8I31b+rP9dA07z9ZQb3VytsTMkXwjOrWcBT9e= psJoRymXMbxDEG+mXkKvVpAc78ecjQXsyanFZJMY1zOMGesukltqplMTPY381bz03XmC9CrqzE6= 2nKgi2OCqWYwP17rTfiark+wiE7tyapHLYGhiIIszSkg/Xc3e3Dq6Nfehst7O8j1XSD9dTUGllf= 15dZwsMuFwCjYfr+TUZRNGq5MtJ1wptzaROh7uEcaqA2X8cKKaHWdq6NvSn1nfXyTvihmbUxBs8= MJbJaddlCudY7Q4Wbn/CttOVvPPO0Lo3cIPX62S7MsNNNgl7m4XSKBeRd+W/tydGEh8uI63Ui9x= 8HwdCoUrDVjT4GB4xyA+3VnMvtw69p2vo3uMLw/3COXuxEACDSq+2F1K5sV6VEoZKYcryCk18/K= QaD7fVcq+vDpOFZvQeCmw2CVGdglB4yVncNtA7k4MROslx+KQeHtkcy6Um1mQdpnYUA09Yn35MP= 0yP5yo5IFuIWhUcs6Xm+ndwo9Lly7x/PPP/y06WR7+PDLxR5cgfoPa2lrGjh3Lpk2b3CsaCqWCt= h0SmThxIkGBAZQWl3Lw0EEOHzxERWUV9fX1KOQKQsNCSWiZQM+ePWka0xy73cba1Sls3byVhoaG= G8aKjY11u4Y+8sgjfP/993To0IHc3FwGDRrEqFGjqK6++bZHtVrN9OnT6dy5M9OmTWPevHl8//3= 3REZGcvToUfr27ctrr712y23NzZs3Z/bs2Wzbto2EhATeffddZs2aRfPmzbn//vtv6tirUCiYN2= 8ekydP/s1zeM0V2Ol0UllZ6U5P1dfXYzQa0el016na2u12ystd32b9/f2Ry+XY7Xb0ej1GoxGTy= YRWq8VsNqNWq/Hx8aGystKd3vH29qa+vh69Xo9CoUCSJBoaGtBoNCgUCoqLi9FoNDidTmw2GxqN= BiEEcrkcSZLc/VgsFsxmM0FBQZjNZurr61EqlYSEhOBwOGhoaMDHxwe73U51dTUajca9hVyn02G= z2VxaRledxX18fCgrKyMoKAil8vqFRbPZTG1trTtQ9fX1RaPRYDQaMRqNaDQafH19KSoqYvr06b= zzzjsAbvfu6upqzGYzwcHB1NXVYbVaCQgIoKqqCp1O504zXTu311JSDQ0NGAwG6uvr3ef419eis= rISf39/ZDIZFRUVbtfvhoYGAgMDrys8vnbNampqsFqtBAYGYjKZMJvN+Pr6otPpsFqtbsVuX19f= VCoVZrMZHx8f9zG9Xo8kSRiNRgwGg/v3iooKtFotQgjq6+vdNW1Wq5WQkBCMRiO+vr7uc+6UXCk= Nm0OgUsqQJIFTAl+tEpPViSQEOi8FRqsTpVzG91kVHCs08erd0agUMvy0SiQhqKp3YNC4aj68VX= IabBIymavuAqDBJlHb4Frx8dUqqW1wIJOBj0aJ1kuOyeqkzuzasRJsUGF1SNSZna5SNsBbJQfh2= tarVsmw2l3pAl+tEpVCRpXJgZdC5l5FqjM7MFkl5DII9vFCEoIKox0hXN/o/a6+v2tjBupVmO1O= GqwSKoUrKe1wus6J3eHaLCGTgSS55mJzSEgCvJQybA6BQu56X2abhNkmobw6t3qLE6tdQiGXIZO= 5+tR6ybE6BU6nwNtLjq9GSZXJjl6twFsl50qdDUlyzdNXo6S01pXK8tMq8VbJmfLdeV64KwqA1O= OVBOpVDGkbgFr183lUKlwJdLtToFTI8NcqqWlwuH8P0Cmx2CXqLE5kuMayOQQOp8BL6UrHCOFaj= br2dx+NAp1aQZXJgdXueo/BBhWV9XbsToFCLkOnVlx33a0Oiap617UO0qtQKlyr5IszSkhu4Udc= 2PWrTa7r5MApCTRecsw217nz0yqoaXDglFwpIz+N0t2X3em6hx1Xz6fF5vpiGerrRWW9HYdToFD= IUCtdZQk+muuLga9JDPhpldidgtoGB35aV//lRjtOSRCoVyEE2J0SOrUCu91ORUXFdQa6Hv5z+M= uCm6t1uTSJacrIBx6gbbs2aPVanA4nJlMDDWYzMpkMXz8/1Cov7DYbpYUlrFu7lv3797uX6n9NT= EwMs2fPprCwkK5duzJ9+nRiYmJ46623eOCBB9izZ88t56lWq3nxxRe58847OXLkCO3bt+f48eOk= paWRnp5OWFgYVVVVWK3Wm7YPCAjg2WefJTExkX379pGens6TTz7pdkTduXPnDW3+aHDj4fZQUVH= B0qVL0el0TJgw4ZZpLg/X8+zKvOt0PG6FzSFRXGPD5pAI8/XCR3NbRc49/EHOl5lxXhVlCdApCT= J4/U6L/xxqGhyU1dkI8fHCT/v/3/vnmycTaBt1+xXUPdwe/ro7S7jSCRfz8ln04ce0btuaVq1bE= RkVicHgg5dajSQ5OX8ll9KSK5w7c4ajmVl/SGDNZDKRnZ1NSEgI8fHxHDlyhJMnT7J3797frIeR= yWQ4HA5SUlLo378/3t7e5Ofn061bNwwGAz179uSNN964ZXCjVqupqqoiIyOD4cOHo1Kp0Ol0VFV= V8dBDD7Fnz55bBmUe/h72799PQUEBsbGx1NXV3bJA2cP1fPhQzB/6v9JaG0sySrhSZ2P0HaHu3S= oe/l5eSbmA8ap+TN+W/jfUt/wnk3GulpTDZTzQJYRecb+vw+TBw7/CbVu5GT16NJs3b/7NQlu1W= o3Bx4BGo0GlUuF0SljMZupNJhpMpj9UpOvn58egQYMwGAzU1taSkZGB0+mkT58+t1TovYZSqaRz= 585UVlai1+tp1aoVaWlpJCUlER4ezv79+8nMzLylsqtWq+XOO+8kIiKC/Px8lEolhYWF1NbW0r9= /f1auXHlDYCSXy5k3b96fVtL14MGDBw8ePPxr3Jbgxmg08uSTT17dLXWLgf7EDqM/y7V+f73F/N= fj//J/f/3z77W/dvyaHs+t+v81CoWCN998kwkTJvxm3x48ePDgwYOH28NtCW6cTifl5eVYLJZbD= /QXBje3i79ijjKZjICAAHQ6nbuA04MHDx48ePDw13FbghsPHjx48ODBg4f/FDxLCR48ePDgwYOH= /yo8wY0HDx48ePDg4b+KP7UVPDs72+3C7cGDBw8ePHjw8L+BRqOhRYsWtzz+p4Kb77777qYqvB4= 8ePDgwYMHD38X4eHhTJky5ZbHPQXFHjx48ODBg4f/Kjw1Nx48ePDgwYOH/yo8wY0HDx48ePDg4b= 8KT3DjwYMHDx48ePiv4v8DkrKy3KIORuIAAAAASUVORK5CYII=3D" width=3D"567" height= =3D"140" alt=3D"" /></p><p class=3D"Default" style=3D"margin-bottom:10pt; l= ine-height:115%"><span style=3D"font-weight:bold; color:#a5a5a5"> </sp= an></p><table style=3D"width:437.1pt; margin-left:0.25pt; margin-bottom:0pt= ; padding:0pt; border-collapse:collapse"><tr><td style=3D"width:74pt; borde= r:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top"><p style=3D= "margin-bottom:0pt; text-align:justify; line-height:115%; font-size:12pt"><= span style=3D"font-family:'Times New Roman'; font-weight:bold; color:#76717= 1">Palabras claves:</span><span style=3D"font-family:'Times New Roman'; col= or:#767171"> </span></p><p style=3D"margin-bottom:0pt; text-align:justify; = line-height:normal; font-size:12pt"><span style=3D"font-family:'Times New R= oman'">ABP, ense=C3=B1anza, aprendizaje, plataforma virtual, Chamilo</span>= </p></td><td colspan=3D"2" style=3D"width:4.15pt; border:0.75pt solid #0000= 00; padding:0pt 5.03pt; vertical-align:top"><p class=3D"Title" style=3D"mar= gin-top:6pt; margin-bottom:12pt; text-align:justify; line-height:115%; font= -size:12pt"><span style=3D"font-family:'Times New Roman'; font-weight:bold"= > </span></p></td><td style=3D"width:321.8pt; border:0.75pt solid #000= 000; padding:0pt 5.03pt; vertical-align:top"><p style=3D"margin-bottom:0pt;= text-align:justify; line-height:115%; font-size:12pt"><span style=3D"font-= family:'Times New Roman'; font-weight:bold; color:#808080">Resumen </span><= /p><p style=3D"margin-bottom:0pt; text-align:justify; line-height:115%; fon= t-size:12pt"><span style=3D"font-family:'Times New Roman'; font-weight:bold= ">Introducci=C3=B3n: </span><span style=3D"font-family:'Times New Roman'">E= l estudio Aborda la implementaci=C3=B3n del aprendizaje basado en problemas= (ABP) mediado por la plataforma Chamilo para mejorar los procesos de ense= =C3=B1anza-aprendizaje. Basado en teor=C3=ADas como el constructivismo y el= aprendizaje significativo, el ABP promueve habilidades de investigaci=C3= =B3n, trabajo en equipo y resoluci=C3=B3n de problemas. Chamilo, como plata= forma educativa de c=C3=B3digo abierto facilita la creaci=C3=B3n de materia= les, la interacci=C3=B3n y el monitoreo del aprendizaje. La propuesta busca= dise=C3=B1ar una gu=C3=ADa did=C3=A1ctica que integre ABP y Chamilo, fomen= tando un aprendizaje activo, colaborativo y significativo. </span><span sty= le=3D"font-family:'Times New Roman'; font-weight:bold">Objetivo: </span><sp= an style=3D"font-family:'Times New Roman'">Elaborar una gu=C3=ADa did=C3=A1= ctica de la metodolog=C3=ADa de aprendizaje basado en problemas, mediante e= l uso de la plataforma antes mencionada en l=C3=ADnea, para el mejoramiento= del proceso de ense=C3=B1anza aprendizaje. </span><span style=3D"font-fami= ly:'Times New Roman'; font-weight:bold">Metodolog=C3=ADa:</span><span style= =3D"font-family:'Times New Roman'"> Se aplic=C3=B3 una metodolog=C3=ADa mix= ta debido a la necesidad de fundamentar la investigaci=C3=B3n tanto con dat= os num=C3=A9ricos, como a trav=C3=A9s del an=C3=A1lisis cr=C3=ADtico de la = informaci=C3=B3n recabada. </span><span style=3D"font-family:'Times New Rom= an'; font-weight:bold">Resultados:</span><span style=3D"font-family:'Times = New Roman'"> Dentro de los resultados iniciales generados a trav=C3=A9s del= diagn=C3=B3stico se pudo conocer que los docentes tienen un escaso conocim= iento de los beneficios del Aprendizaje Basado en Problemas y su mediaci=C3= =B3n con plataformas virtuales. </span><span style=3D"font-family:'Times Ne= w Roman'; font-weight:bold">Conclusi=C3=B3n: </span><span style=3D"font-fam= ily:'Times New Roman'">El art=C3=ADculo concluye que el uso de la metodolog= =C3=ADa Aprendizaje Basado en Problemas a trav=C3=A9s de la plataforma, mej= ora significativamente el proceso de ense=C3=B1anza aprendizaje. </span><sp= an style=3D"font-family:'Times New Roman'; font-weight:bold">=C3=81rea de e= studio general: </span><span style=3D"font-family:'Times New Roman'">Educac= i=C3=B3n. </span><span style=3D"font-family:'Times New Roman'; font-weight:= bold">=C3=81rea de estudio espec=C3=ADfica: </span><span style=3D"font-fami= ly:'Times New Roman'">Tecnolog=C3=ADa educativa y metodolog=C3=ADa activas.= </span><span style=3D"font-family:'Times New Roman'; font-weight:bold; col= or:#333333; background-color:#ffffff">Tipo de estudio:</span><span style=3D= "font-family:'Times New Roman'; color:#333333; background-color:#ffffff">&#= xa0; </span><span style=3D"font-family:'Times New Roman'; color:#333333; ba= ckground-color:#ffffff">Articulo Original.</span></p></td></tr><tr><td cols= pan=3D"2" style=3D"width:77.2pt; border-top:0.75pt solid #000000; border-ri= ght:0.75pt solid #5b9bd5; border-left:0.75pt solid #5b9bd5; border-bottom:0= .75pt solid #5b9bd5; padding:0pt 5.03pt; vertical-align:top"><p class=3D"Ti= tle" style=3D"margin-top:6pt; margin-bottom:12pt; text-align:justify; line-= height:115%; font-size:12pt"><span style=3D"font-family:'Times New Roman'; = font-weight:bold; color:#767171">Keywords:</span><span style=3D"font-family= :'Times New Roman'; color:#767171"> </span></p><p class=3D"Title" style=3D"= margin-top:6pt; margin-bottom:12pt; text-align:justify; line-height:115%; f= ont-size:12pt"><span style=3D"font-family:'Times New Roman'">PBL, teaching,= learning, virtual platforms, Chamilo</span><span style=3D"font-family:'Tim= es New Roman'; font-weight:bold"> </span></p></td><td style=3D"width:0.95pt= ; border-top:0.75pt solid #000000; border-right:0.75pt solid #5b9bd5; borde= r-left:0.75pt solid #5b9bd5; border-bottom:0.75pt solid #5b9bd5; padding:0p= t 5.03pt; vertical-align:top"><p class=3D"Title" style=3D"margin-top:6pt; m= argin-bottom:12pt; text-align:justify; line-height:115%; font-size:12pt"><s= pan style=3D"font-family:'Times New Roman'; font-weight:bold"> </span>= </p></td><td style=3D"width:321.8pt; border-top:0.75pt solid #000000; borde= r-right:0.75pt solid #5b9bd5; border-left:0.75pt solid #5b9bd5; border-bott= om:0.75pt solid #5b9bd5; padding:0pt 5.03pt; vertical-align:top"><p style= =3D"margin-bottom:0pt; text-align:justify; line-height:normal; font-size:12= pt"><span style=3D"font-family:'Times New Roman'; color:#808080">Abstract</= span></p><p style=3D"margin-bottom:0pt; text-align:justify; line-height:115= %; font-size:12pt"><span style=3D"font-family:'Times New Roman'; font-weigh= t:bold">Introduction:</span><span style=3D"font-family:'Times New Roman'"> = The study Addresses the implementation of problem-based learning (PBL) medi= ated by the Chamilo platform to improve teaching-learning processes. Based = on theories such as constructivism and meaningful learning, PBL promotes re= search skills, teamwork and problem solving. Chamilo, as an open-source edu= cational platform, facilitates the creation of materials, interaction, and = monitoring of learning. The proposal seeks to design a didactic guide that = integrates PBL and Chamilo, promoting active, collaborative, and meaningful= learning. </span><span style=3D"font-family:'Times New Roman'; font-weight= :bold">Objective:</span><span style=3D"font-family:'Times New Roman'"> To e= laborate a didactic guide of the problem-based learning methodology, using = the online platform, for the improvement of teaching and learning processes= . </span><span style=3D"font-family:'Times New Roman'; font-weight:bold">Me= thodology:</span><span style=3D"font-family:'Times New Roman'"> A mixed met= hodology was applied due to the need to support the research both with nume= rical data and through the critical analysis of the information collected. = </span><span style=3D"font-family:'Times New Roman'; font-weight:bold">Resu= lts:</span><span style=3D"font-family:'Times New Roman'"> Among the initial= results generated through the diagnosis, it was found that teachers have l= ittle knowledge of the benefits of Problem-Based Learning and its mediation= with virtual platforms. </span><span style=3D"font-family:'Times New Roman= '; font-weight:bold">Conclusion:</span><span style=3D"font-family:'Times Ne= w Roman'"> The article concludes that the use of the Problem Based Learning= methodology through the platform significantly improves the teaching-learn= ing process. </span><span style=3D"font-family:'Times New Roman'; font-weig= ht:bold">General area of study:</span><span style=3D"font-family:'Times New= Roman'"> Education. </span></p><p style=3D"margin-bottom:0pt; text-align:j= ustify; line-height:115%; font-size:12pt"><span style=3D"font-family:'Times= New Roman'; font-weight:bold">Specific area of study:</span><span style=3D= "font-family:'Times New Roman'"> Educational technology and active methodol= ogy. </span><span style=3D"font-family:'Times New Roman'; font-weight:bold"= >Type of study:</span><span style=3D"font-family:'Times New Roman'"> Origin= al Article.</span></p></td></tr><tr style=3D"height:0pt"><td style=3D"width= :85.55pt"></td><td style=3D"width:3.25pt"></td><td style=3D"width:11.85pt">= </td><td style=3D"width:335.7pt"></td></tr></table><p class=3D"Default" sty= le=3D"margin-bottom:10pt; line-height:115%"><span style=3D"font-weight:bold= ; color:#a5a5a5"> </span></p><p class=3D"ListParagraph" style=3D"text-= indent:-18pt; text-align:justify; line-height:108%; font-size:12pt"><span s= tyle=3D"font-family:'Times New Roman'; font-weight:bold; color:#767171"><sp= an>1.</span></span><span style=3D"width:9pt; font:7pt 'Times New Roman'; di= splay:inline-block">      </span><span style=3D"fo= nt-family:'Times New Roman'; font-weight:bold; color:#767171">Introducci=C3= =B3n</span></p><p style=3D"text-align:justify; line-height:108%; font-size:= 12pt"><span style=3D"font-family:'Times New Roman'">En la actualidad, la ed= ucaci=C3=B3n est=C3=A1 determinada en elevar su calidad a trav=C3=A9s de en= foques que posibiliten la transformaci=C3=B3n de m=C3=A9todos convencionale= s (</span><span style=3D"font-family:'Times New Roman'; background-color:#f= fff00">Ante</span><span style=3D"font-family:'Times New Roman'">, 2023); Es= con este criterio, que metodolog=C3=ADas como </span><span style=3D"font-f= amily:'Times New Roman'; text-decoration:underline">Aprendizaje Basado en P= roblemas (ABP</span><span style=3D"font-family:'Times New Roman'">) han cre= cido ampliamente en popularidad y su adopci=C3=B3n ha aumentado notablement= e, el aprendizaje basado en problemas es una metodolog=C3=ADa educativa cen= trada en el estudiante, han mostrado efectos positivos en el =C3=A9xito aca= d=C3=A9mico</span><span style=3D"font-family:'Times New Roman'">  </sp= an><span style=3D"font-family:'Times New Roman'">como lo revela en su estud= io</span><span style=3D"font-family:'Times New Roman'">  </span><span = style=3D"font-family:'Times New Roman'; background-color:#00ffff">(Carbajal= Leandro, 2024)</span><span style=3D"font-family:'Times New Roman'">  = </span><span style=3D"font-family:'Times New Roman'">debido a que se la rec= onoce como una metodolog=C3=ADa altamente eficaz para llevar a cabo activid= ades de aprendizaje con estudiantes de todos los niveles de forma =C3=B3pti= ma (</span><span style=3D"font-family:'Times New Roman'; background-color:#= ffff00">Mera & Timana, 2024).</span><span style=3D"font-family:'Times N= ew Roman'"> Motivo que, ha despertado el inter=C3=A9s para desarrollar el p= resente estudio, el cual tiene como tema de investigaci=C3=B3n: =E2=80=9CAp= rendizaje basado en problemas para los procesos de ense=C3=B1anza mediante = Chamilo=E2=80=9D. El ABP surge en la d=C3=A9cada de los 60 y 70 gracias a l= os profesores de medicina de la universidad de McMaster en Canad=C3=A1, qui= enes exploraron la aplicaci=C3=B3n de este nuevo m=C3=A9todo con el objetiv= o de sustituir el enfoque tradicional (</span><span style=3D"font-family:'T= imes New Roman'; background-color:#ffff00">Ante</span><span style=3D"font-f= amily:'Times New Roman'">, 2023). Adem=C3=A1s, </span><span style=3D"font-f= amily:'Times New Roman'; background-color:#ffff00">Mera & Timana (2024<= /span><span style=3D"font-family:'Times New Roman'">), afirman que su carac= ter=C3=ADstica b=C3=A1sica es facilitar la participaci=C3=B3n efectiva de l= os estudiantes en el proceso de formaci=C3=B3n, llevando a potenciar sus ha= bilidades de investigaci=C3=B3n, trabajo en equipo, desarrollo de la creati= vidad, el aprendizaje aut=C3=B3nomo, el pensamiento cr=C3=ADtico, el aprend= izaje significativo y la resoluci=C3=B3n de problemas, permitiendo poner en= pr=C3=A1ctica sus conocimientos y habilidades en situaciones reales, const= atando la adquisici=C3=B3n de competencias que promueven un desarrollo de e= sta metodolog=C3=ADa </span><span style=3D"font-family:'Times New Roman'; b= ackground-color:#ffff00">(Gil-Galv=C3=A1n, 2018).</span></p><p style=3D"tex= t-align:justify; line-height:108%; font-size:12pt"><span style=3D"font-fami= ly:'Times New Roman'"> </span><span style=3D"font-family:'Times New Ro= man'"> </span><span style=3D"font-family:'Times New Roman'; background-colo= r:#ffff00">(Hern=C3=A1ndez-Sampieri & Mendoza, 2018)</span><span style= =3D"font-family:'Times New Roman'"> </span><span style=3D"font-family:'Time= s New Roman'"> </span><span style=3D"font-family:'Times New Roman'"> e= s uno de los autores m=C3=A1s reconocido en el campo de la investigaci=C3= =B3n, especialmente en el contexto de la metodolog=C3=ADa de investigaci=C3= =B3n cient=C3=ADfica, describe diversas metodolog=C3=ADas y enfoques para l= a investigaci=C3=B3n, como la metodolog=C3=ADa mixta que es la combinaci=C3= =B3n de m=C3=A9todos cualitativos y cuantitativos en una sola investigaci= =C3=B3n, esto permite aprovechar las fortalezas de ambos enfoques para obte= ner una perspectiva m=C3=A1s completa del Aprendizaje basado en problemas p= ara el proceso de ense=C3=B1anza mediante la plataforma Chamilo.</span></p>= <p style=3D"text-align:justify; line-height:108%; font-size:12pt"><span sty= le=3D"font-family:'Times New Roman'">Dentro de los enfoques te=C3=B3ricos e= n el que se basa el ABP se encuentra el constructivismo, debido a que esta = teor=C3=ADa posibilita la aplicaci=C3=B3n de t=C3=A1cticas de ense=C3=B1anz= a y aprendizaje eficaces, al poner =C3=A9nfasis en el estudiante, considera= ndo sus destrezas, intereses y requerimientos individuales para la adquisic= i=C3=B3n de competencias en la cual su participaci=C3=B3n es permanente dur= ante las actividades de aprendizaje (</span><span style=3D"font-family:'Tim= es New Roman'; background-color:#ffff00">Baloco</span><span style=3D"font-f= amily:'Times New Roman'"> & L=C3=B3pez, 2022; </span><span style=3D"fon= t-family:'Times New Roman'; background-color:#ffff00">Fl=C3=B3rez-Nisperuza= & Gonz=C3=A1lez-Rivas</span><span style=3D"font-family:'Times New Roma= n'">, 2021). Durante el ABP el estudiante construye su aprendizaje ya que t= odo el trabajo se centra en =C3=A9l, y no en el docente.</span><span style= =3D"font-family:'Times New Roman'">  </span><span style=3D"font-family= :'Times New Roman'">Adem=C3=A1s del constructivismo, otra teor=C3=ADa de ap= rendizaje en la que se enfoca el ABP es el aprendizaje significativo al fun= damentar sus acciones en los conocimientos previos que traen los educandos = (</span><span style=3D"font-family:'Times New Roman'; background-color:#fff= f00">Henao</span><span style=3D"font-family:'Times New Roman'">, 2018). Ade= m=C3=A1s, el ABP incorpora elementos del aprendizaje colaborativo, promovie= ndo el crecimiento de conocimientos y habilidades a trav=C3=A9s de interacc= iones educativas integradoras. Facilitando la interdependencia positiva ent= re los estudiantes organizados en un equipo de trabajo (</span><span style= =3D"font-family:'Times New Roman'; background-color:#ffff00">L=C3=B3pez</sp= an><span style=3D"font-family:'Times New Roman'">, 2021). </span></p><p sty= le=3D"text-align:justify; line-height:108%; font-size:12pt"><span style=3D"= font-family:'Times New Roman'">Como se puede observar en el tema expuesto a= l inicio de esta introducci=C3=B3n, este estudio no solo pretende utilizar = las bondades del </span><span style=3D"font-family:'Times New Roman'; text-= decoration:underline">Aprendizaje Basado en Problemas</span><span style=3D"= font-family:'Times New Roman'">; sino tambi=C3=A9n, mediar esta metodolog= =C3=ADa con la plataforma en l=C3=ADnea. Entendi=C3=A9ndose que el uso de h= erramientas tecnol=C3=B3gicas genera un plus motivacional para los estudian= tes durante el proceso de ense=C3=B1anza aprendizaje,</span><span style=3D"= font-family:'Times New Roman'; font-weight:bold"> </span><span style=3D"fon= t-family:'Times New Roman'">ya que</span><span style=3D"font-family:'Times = New Roman'; font-weight:bold"> </span><span style=3D"font-family:'Times New= Roman'">la manera en que las personas viven, aprenden, estudian y se comun= ican ha experimentado cambios debido a la adopci=C3=B3n de las </span><span= style=3D"font-family:'Times New Roman'; text-decoration:underline">Tecnolo= g=C3=ADas de la Informaci=C3=B3n y la Comunicaci=C3=B3n (TIC</span><span st= yle=3D"font-family:'Times New Roman'">) (</span><span style=3D"font-family:= 'Times New Roman'; background-color:#ffff00">Fuentes</span><span style=3D"f= ont-family:'Times New Roman'">, 2019). Sin embargo, existe un nivel interme= dio en la gesti=C3=B3n del conocimiento o aplicaci=C3=B3n de las herramient= as tecnol=C3=B3gicas en las practicas docentes (J=C3=A1come, 2022). Lo ante= riormente mencionado, exige a los educadores a fortalecer esta competencia = en su ejercicio profesional, porque un docente que tiene pr=C3=A1cticas s= =C3=B3lidas en el uso de la tecnolog=C3=ADa y en la organizaci=C3=B3n del c= onocimiento est=C3=A1 capacitado para originar material digital de manera a= ut=C3=A9ntica.</span></p><p style=3D"text-align:justify; line-height:108%; = font-size:12pt"><span style=3D"font-family:'Times New Roman'">=C2=BFDe qu= =C3=A9 se trata Chamilo? la plataforma es un software de c=C3=B3digo abiert= o distribuido bajo la licencia p=C3=BAblica general de GNU, que asegura a l= os usuarios la libertad de emplear, duplicar, alterar y distribuir el softw= are. El proyecto fue iniciado por Yannick Warnier, y establecido como asoci= aci=C3=B3n en B=C3=A9lgica en 2010 (</span><span style=3D"font-family:'Time= s New Roman'; background-color:#ffff00">Rodr=C3=ADguez</span><span style=3D= "font-family:'Times New Roman'">, 2016). Seg=C3=BAn </span><span style=3D"f= ont-family:'Times New Roman'; background-color:#ffff00">Campuzano (2017</sp= an><span style=3D"font-family:'Times New Roman'">), entre sus ventajas se e= ncuentran la facilidad para elaborar materiales educativos, una instalaci= =C3=B3n sencilla de plataformas de alojamiento web, seguimiento de los prog= resos de los usuarios para mejorar la ense=C3=B1anza, interfaz intuitiva qu= e facilita la concentraci=C3=B3n en el aprendizaje, disponibilidad de canal= es de comunicaci=C3=B3n tanto sincr=C3=B3nicos como asincr=C3=B3nicos, dive= rsidad de herramientas adecuada para distintos estilos de aprendizaje (visu= al, auditivo, pr=C3=A1ctico) y gesti=C3=B3n amplia de documentos. Para cump= lir con las ventajas antes referidas cuenta con las siguientes funcionalida= des: herramientas para elaborar y administrar contenidos, herramientas de c= omunicaci=C3=B3n, interacci=C3=B3n y colaboraci=C3=B3n, herramientas de adm= inistraci=C3=B3n, herramientas para evaluar y monitorear y, </span><span st= yle=3D"font-family:'Times New Roman'"> </span><span style=3D"font-fami= ly:'Times New Roman'">herramientas de soporte t=C3=A9cnico virtual (</span>= <span style=3D"font-family:'Times New Roman'; background-color:#ffff00">Rod= r=C3=ADguez</span><span style=3D"font-family:'Times New Roman'">, 2016; </s= pan><span style=3D"font-family:'Times New Roman'; background-color:#ffff00"= >Mart=C3=ADnez & Sinning, 2020</span><span style=3D"font-family:'Times = New Roman'">). </span></p><p style=3D"text-align:justify; line-height:108%;= font-size:12pt"><span style=3D"font-family:'Times New Roman'">Dentro de la= s estrategias que se podr=C3=ADan considerar para integrar el ABP mediado c= on la plataforma en l=C3=ADnea se puede tomar en cuenta las definidas por <= /span><span style=3D"font-family:'Times New Roman'; background-color:#ffff0= 0">Menj=C3=ADvar (2019</span><span style=3D"font-family:'Times New Roman'">= ), definir las necesidades educativas identificadas en el diagn=C3=B3stico,= elaborar un plan de clases para entornos virtuales utilizando la metodolog= =C3=ADa ABP, crear materiales visuales y audiovisuales para el trabajo en e= l entorno virtual, configurar la plataforma adapt=C3=A1ndola a las necesida= des de los estudiantes y docentes, llevar a cabo la implementaci=C3=B3n y e= jecuci=C3=B3n de las estrategias definidas anteriormente. Para poder realiz= ar la integraci=C3=B3n entre el ABP y Chamilo, se debe plantear un problema= relevante que tenga conexi=C3=B3n con la vida real de los estudiantes y es= t=C3=A9 alineado con los temas del plan de estudio</span><span style=3D"fon= t-family:'Times New Roman'; font-weight:bold"> (</span><span style=3D"font-= family:'Times New Roman'; background-color:#ffff00">Pinheiro</span><span st= yle=3D"font-family:'Times New Roman'"> et al., 2023). Es crucial realizar u= n an=C3=A1lisis de los conocimientos previos, los mismos que pueden adjunta= r informaci=C3=B3n al respecto en la plataforma para que sirva como punto d= e partida en el proceso de resoluci=C3=B3n del problema. Despu=C3=A9s de es= to, los participantes desarrollan un plan de trabajo donde se especifiquen = responsables, actividades de trabajo y logros esperados (</span><span style= =3D"font-family:'Times New Roman'; background-color:#ffff00">Chong-Baque &a= mp; Marcillo-Garc=C3=ADa</span><span style=3D"font-family:'Times New Roman'= ">, 2020).</span><span style=3D"font-family:'Times New Roman'">  </spa= n></p><p style=3D"text-align:justify; line-height:108%; font-size:12pt"><sp= an style=3D"font-family:'Times New Roman'">Bas=C3=A1ndose en lo anteriormen= te expuesto, el tema de estudio se justifica en raz=C3=B3n de que al emplea= r la metodolog=C3=ADa del </span><span style=3D"font-family:'Times New Roma= n'; text-decoration:underline">Aprendizaje Basado en Problema</span><span s= tyle=3D"font-family:'Times New Roman'">s mediado con la plataforma; los est= udiantes podr=C3=ADan ser estimulados a involucrarse de forma m=C3=A1s efic= iente en el proceso de aprendizaje, </span><span style=3D"font-family:'Time= s New Roman'; background-color:#ffff00">(Velazquez et al., 2021)</span><spa= n style=3D"font-family:'Times New Roman'"> lo que permitir=C3=ADa que const= ruyan sus propios conocimientos a trav=C3=A9s de la interacci=C3=B3n social= con el resto de sus compa=C3=B1eros, generando un entorno educativo que se= ajusta a la teor=C3=ADa del constructivismo y preparando al educando para = enfrentar desaf=C3=ADos reales (</span><span style=3D"font-family:'Times Ne= w Roman'; background-color:#ffff00">L=C3=B3pez, 2021</span><span style=3D"f= ont-family:'Times New Roman'">). Adem=C3=A1s, el partir de los conocimiento= s previos de los estudiantes facilita un aprendizaje significativo; sumado = a esto, el trabajo colaborativo adecuadamente gestionado por parte del doce= nte y el fomento del pensamiento cr=C3=ADtico a trav=C3=A9s de ejercicios d= e resoluci=C3=B3n de problemas de acuerdo con el entorno estudiantil favore= ce el proceso de ense=C3=B1anza-aprendizaje. Dentro de otros beneficios en = la aplicaci=C3=B3n de la propuesta tenemos: fomentar la participaci=C3=B3n = efectiva de los estudiantes durante las clases, mejora la eficacia y satisf= acci=C3=B3n del proceso de ense=C3=B1anza por parte del docente y elevar el= rendimiento acad=C3=A9mico de los alumnos (</span><span style=3D"font-fami= ly:'Times New Roman'; background-color:#ffff00">Mart=C3=ADnez & Romero,= 2016</span><span style=3D"font-family:'Times New Roman'">).</span></p><p s= tyle=3D"text-align:justify; line-height:108%; font-size:12pt"><span style= =3D"font-family:'Times New Roman'">Para esta investigaci=C3=B3n, el objeti<= /span><a id=3D"_Hlk166419812"><span style=3D"font-family:'Times New Roman'"= >vo general que se plante=C3=B3 fue: elaborar una gu=C3=ADa did=C3=A1ctica = sobre metodolog=C3=ADa del ABP, haciendo uso de la plataforma en l=C3=ADnea= como espacio virtual con el prop=C3=B3sito de mejorar los procesos de ense= =C3=B1anza - aprendizaje</span></a><span style=3D"font-family:'Times New Ro= man'">.</span><span style=3D"font-family:'Times New Roman'">  </span><= span style=3D"font-family:'Times New Roman'">Para el cumplimiento del prop= =C3=B3sito principal se ha formulado los siguientes objetivos espec=C3=ADfi= cos de esta propuesta investigativa, los cuales se pueden leer a continuaci= =C3=B3n:</span><span style=3D"font-family:'Times New Roman'; font-weight:bo= ld"> r</span><span style=3D"font-family:'Times New Roman'">evisar diversas = fuentes bibliogr=C3=A1ficas a trav=C3=A9s de buscadores acad=C3=A9micos con= el fin de investigar la influencia de la metodolog=C3=ADa Aprendizaje Basa= do en Problemas en la mejora del proceso de ense=C3=B1anza de los docentes;= examinar el conocimiento que los docentes poseen sobre el </span><span sty= le=3D"font-family:'Times New Roman'; text-decoration:underline">Aprendizaje= Basado en Problemas</span><span style=3D"font-family:'Times New Roman'"> m= ediante una encuesta semiestructurada, con el prop=C3=B3sito de identificar= los beneficios, necesidades y desaf=C3=ADos asociados con su implementaci= =C3=B3n en el proceso de ense=C3=B1anza-aprendizaje y el =C3=BAltimo,</span= ><span style=3D"font-family:'Times New Roman'; font-weight:bold"> </span><s= pan style=3D"font-family:'Times New Roman'">validar las ventajas del uso de= plataformas virtuales y herramientas tecnol=C3=B3gicas mediante una entrev= ista a expertos, con el fin de facilitar la integraci=C3=B3n efectiva de es= tos recursos en los procesos de ense=C3=B1anza-aprendizaje. </span></p><p s= tyle=3D"text-align:justify; line-height:108%; font-size:12pt"><span style= =3D"font-family:'Times New Roman'">Las preguntas de investigaci=C3=B3n que = se desprendieron del tema fueron: =C2=BFCu=C3=A1nto favorece el contar con = una gu=C3=ADa did=C3=A1ctica con metodolog=C3=ADa de aprendizaje basado en = problemas mediante el uso de la plataforma en l=C3=ADnea</span><span style= =3D"font-family:'Times New Roman'">  </span><span style=3D"font-family= :'Times New Roman'">Chamilo, para el mejoramiento de los procesos de ense= =C3=B1anza aprendizaje de docentes y estudiantes?, =C2=BFEn qu=C3=A9 medida= influye la utilizaci=C3=B3n de la metodolog=C3=ADa aprendizaje basado en p= roblemas en la mejora de los procesos de ense=C3=B1anza?, =C2=BFC=C3=B3mo c= ontribuye el nivel de conocimiento de los docentes sobre Aprendizaje Basado= en Problemas para la correcta ejecuci=C3=B3n de esta metodolog=C3=ADa en e= l aula?, y, =C2=BFCu=C3=A1les son las ventajas percibidas del uso plataform= as virtuales y herramientas tecnol=C3=B3gicas, y como pueden estas ventajas= facilitar la integraci=C3=B3n efectiva en los procesos de ense=C3=B1anza a= prendizaje?.</span></p><p class=3D"ListParagraph" style=3D"text-indent:-18p= t; text-align:justify; line-height:108%; font-size:12pt"><span style=3D"fon= t-family:'Times New Roman'; font-weight:bold; color:#767171"><span>2.</span= ></span><span style=3D"width:9pt; font:7pt 'Times New Roman'; display:inlin= e-block">      </span><span style=3D"font-family:'= Times New Roman'; font-weight:bold; color:#767171">Metodolog=C3=ADa </span>= </p><p style=3D"text-align:justify; line-height:108%; font-size:12pt"><span= style=3D"font-family:'Times New Roman'">Para este estudio, se emple=C3=B3 = una metodolog=C3=ADa mixta que combin=C3=B3 enfoques cualitativos y cuantit= ativos a trav=C3=A9s de la aplicaci=C3=B3n de t=C3=A9cnicas c=C3=B3mo la en= trevista realizada a expertos en diferentes funciones y una encuesta semies= tructurada, realizada a docente de diferentes subniveles de la </span><span= style=3D"font-family:'Times New Roman'; text-decoration:underline">Unidad = Educativa =E2=80=9CCrist=C3=B3bal Col=C3=B3n</span><span style=3D"font-fami= ly:'Times New Roman'">=E2=80=9D. A fin de lograr una mayor comprensi=C3=B3n= del contexto. Durante la investigaci=C3=B3n documentada, se realiz=C3=B3 u= na exhaustiva revisi=C3=B3n biogr=C3=A1fica de fuentes de amplia propiedad = acad=C3=A9mica como Google acad=C3=A9mico, Scielo, Redalyc, SCOPUS, etc.</s= pan></p><p style=3D"text-align:justify; line-height:108%; font-size:12pt"><= span style=3D"font-family:'Times New Roman'">En el desarrollo de la investi= gaci=C3=B3n de campo se llev=C3=B3 a cabo siguiendo una serie de pasos; emp= ezando con la obtenci=C3=B3n del permiso correspondiente de la autoridad in= stitucional para proceder a la aplicaci=C3=B3n de la encuesta a los docente= s y las entrevista a los expertos; para lo cual, desarrollada a trav=C3=A9s= de la herramienta de Google formulario de manera organizada, manteniendo l= os principios =C3=A9ticos de confidencialidad.</span></p><p style=3D"text-a= lign:justify; line-height:108%; font-size:12pt"><span style=3D"font-family:= 'Times New Roman'">Para poder tener una visi=C3=B3n general de los conocimi= entos del ABP por parte de los docentes de la unidad educativa, fue necesar= io dise=C3=B1ar una encuesta donde se pueda explorar y recopilar la informa= ci=C3=B3n necesaria referente a las opiniones, beneficios, necesidades, y e= xperiencia en cuanto a la metodolog=C3=ADa del </span><span style=3D"font-f= amily:'Times New Roman'; text-decoration:underline">Aprendizaje Basado en P= roblemas (ABP) </span><span style=3D"font-family:'Times New Roman'">y la pl= ataforma en l=C3=ADnea Chamilo en las aulas de los 43 docentes de la </span= ><span style=3D"font-family:'Times New Roman'; text-decoration:underline">U= nidad Educativa =E2=80=9CCrist=C3=B3bal Col=C3=B3n=E2=80=9D</span><span sty= le=3D"font-family:'Times New Roman'"> de la provincia del Carchi, Cant=C3= =B3n Tulc=C3=A1n. Luego de aplicar la mencionada encuesta, se recopil=C3=B3= la informaci=C3=B3n por medio de las mismas herramientas de Google formula= rio. En lo que concierne a las entrevistas, se efectuaron mediante una sele= cci=C3=B3n rigurosa a cuatro expertos con t=C3=ADtulo de cuarto nivel y con= amplio conocimiento de metodolog=C3=ADas para el aprendizaje activo como e= l ABP y un manejo eficiente de las herramientas tecnol=C3=B3gicas y platafo= rmas para recopilar informaci=C3=B3n relevante y de calidad lo que permite = ver cu=C3=A1l es la articulaci=C3=B3n con las metodolog=C3=ADas que se util= izan con los estudiantes. </span></p><p class=3D"ListParagraph" style=3D"te= xt-indent:-18pt; text-align:justify; line-height:108%; font-size:12pt"><spa= n style=3D"font-family:'Times New Roman'; font-weight:bold; color:#767171">= <span>3.</span></span><span style=3D"width:9pt; font:7pt 'Times New Roman';= display:inline-block">      </span><span style=3D= "font-family:'Times New Roman'; font-weight:bold; color:#767171">Resultados= </span></p><p style=3D"text-align:justify; line-height:108%; font-size:12pt= "><span style=3D"font-family:'Times New Roman'">Durante el proceso de recop= ilaci=C3=B3n de datos, a trav=C3=A9s del desarrollo de la encuesta a docent= es y las entrevistas a expertos, se procedi=C3=B3 a realizar la tabulaci=C3= =B3n de la informaci=C3=B3n para lo cual se utiliz=C3=B3 la herramienta off= ice Excel de Microsoft, la cual mediante estad=C3=ADstica descriptiva incor= porada en dicha aplicaci=C3=B3n se obtuvo de la media, moda y mediana. En c= uanto a la entrevista su an=C3=A1lisis se ejecut=C3=B3 por medio de las car= acter=C3=ADsticas de las respuestas generadas por los docentes y expertos.<= /span><span style=3D"font-family:'Times New Roman'">  </span></p><p cl= ass=3D"ListParagraph" style=3D"text-indent:-18pt; text-align:justify; line-= height:108%; font-size:12pt"><span style=3D"font-family:'Times New Roman'; = font-style:italic"><span>3.1.</span></span><span style=3D"font-family:'Time= s New Roman'; font-style:italic"> Encuesta a docentes</span></p><p style=3D= "text-align:justify; line-height:108%; font-size:12pt"><span style=3D"font-= family:'Times New Roman'">Diagn=C3=B3stico sobre la implementaci=C3=B3n del= ABP y el uso de la plataforma Chamilo seg=C3=BAn encuesta aplicada a docen= tes.</span></p><p style=3D"text-align:justify; line-height:108%; font-size:= 12pt"><span style=3D"font-family:'Times New Roman'">Este estudio empleo com= o t=C3=A9cnica principal una encuesta, administrada a un grupo de 43 educad= ores de la instituci=C3=B3n educativa fiscal Crist=C3=B3bal Col=C3=B3n, ubi= cada en el cant=C3=B3n Tulc=C3=A1n, abarcando todos los niveles educativos = desde inicial hasta bachillerato, en el turno matutino. </span></p><p style= =3D"text-align:justify; line-height:108%; font-size:12pt"><span style=3D"fo= nt-family:'Times New Roman'">Los datos recabados ofrecieron una perspectiva= integral sobre la percepci=C3=B3n y aplicaci=C3=B3n del ABP por parte de l= os docentes, as=C3=AD como la eficacia de Chamilo como herramienta de apoyo= en el proceso educativo. Este enfoque permiti=C3=B3 no s=C3=B3lo evaluar e= l estado actual de la implementaci=C3=B3n de estas metodolog=C3=ADas y tecn= olog=C3=ADas, si no tambi=C3=A9n identificar sus puntos fuertes y aspectos = susceptibles de mejora.</span></p><p style=3D"text-align:justify; line-heig= ht:108%; font-size:12pt"><span style=3D"font-family:'Times New Roman'">La i= nformaci=C3=B3n obtenida ser=C3=A1 fundamental para el dise=C3=B1o de futur= as estrategias pedag=C3=B3gicas y formativas en la instituci=C3=B3n, buscan= do optimizar tanto el uso de ABP como la integraci=C3=B3n de plataformas vi= rtuales en la pr=C3=A1ctica docente. Este diagn=C3=B3stico sienta las bases= para una evaluaci=C3=B3n informada y efectiva de los m=C3=A9todos de ense= =C3=B1anza- aprendizaje en el establecimiento educativo.</span></p><p style= =3D"text-align:justify; line-height:108%; font-size:12pt"><span style=3D"fo= nt-family:'Times New Roman'">Finalmente, a partir de las encuestas y entrev= istas, se propone la creaci=C3=B3n de una gu=C3=ADa did=C3=A1ctica virtual = dirigida a los docentes, enfocada en la implementaci=C3=B3n del ABP y el us= o efectivo de las plataformas virtuales y herramientas digitales, con el ob= jetivo de fortalecer la ense=C3=B1anza y el aprendizaje en entornos educati= vos actuales. </span></p><p style=3D"text-align:justify; line-height:108%; = font-size:12pt"><span style=3D"font-family:'Times New Roman'">Los resultado= s y su interpretaci=C3=B3n se detallan a continuaci=C3=B3n:</span></p><p st= yle=3D"margin-left:46.4pt; text-indent:-18pt; text-align:justify; line-heig= ht:108%; font-size:12pt"><span style=3D"font-family:'Times New Roman'; font= -style:italic"><span>a)</span></span><span style=3D"width:8pt; font:7pt 'Ti= mes New Roman'; display:inline-block">     </span><span= style=3D"font-family:'Times New Roman'; font-style:italic">Dimensi=C3=B3n:= conocimiento sobre el ABP</span></p><p style=3D"text-align:justify; line-h= eight:108%; font-size:12pt"><span style=3D"font-family:'Times New Roman'">D= e acuerdo con la figura 1, en relaci=C3=B3n con la interrogante: selecciona= r los beneficios que se obtienen para el proceso de ense=C3=B1anza aprendiz= aje cu=C3=A1ndo se aplica la metodolog=C3=ADa ABP, se puede visualizar, que= el 27% de los encuestados, tienen una idea clara de la metodolog=C3=ADa ap= rendizaje basado en problemas debido a que seleccionaron que todos los bene= ficios presentados corresponden al ABP, el resto tiene una idea difusa al r= especto de esta que deber=C3=ADa ser profundizar=C3=A1 o aclarada.</span></= p><p style=3D"text-align:center; line-height:108%; font-size:12pt"><span st= yle=3D"font-family:'Times New Roman'; font-weight:bold">Figura 1</span><br = /><span style=3D"font-family:'Times New Roman'; font-style:italic">Conocimi= ento sobre el ABP, por parte de los docentes</span></p><p style=3D"text-ali= gn:center; line-height:108%; font-size:12pt"><img src=3D"data:image/png;bas= e64,iVBORw0KGgoAAAANSUhEUgAAAeEAAAEhCAYAAABIohi6AAAABHNCSVQICAgIfAhkiAAAAAl= wSFlzAAAOxAAADsQBlSsOGwAAIABJREFUeJzsnXl8FPX9/18zs7s5CJcUEPAIliJgCCqScAuNqG= hFkRokcqO/2lArfAWkULVfoUXBGuVQihEUgn5rS0UUOQIKlVAugYRAFE0FFFCDBAJJls3u7O+PM= MPs7GeOva/38+G6O+fnMxNmXvM+Pu/hPv30UzeIuMXt9u/P6892ym04jvN5uR6+ru/vNgRBEOHE= AgCDBg2KcDeIYGFGPIO1jtZ6brfbSwA5jmOua1YojdYzsx8SZYIgoolt27Y1ijARuxiJpd5y9TK= tdfXmK4VNOc3atzRPaxsttATcaLl6v4E8BBAEQYQCEuEYIlDr1Jdpo/akZZKIKqeVsARSLbyiKI= LneU1BZom33v61HgSMXORa6xAEQYQKEuEox1/XsXKenuCatYaVy9SiKIqipvBJKJezhNPlchlat= CyRNmNJS/swE5MOJG5NEAThKyTCUYg/wqs1bXa+ep7ecqUIq3+rvyWU85WizVpPT2i1LG09F7dW= X9T70TsfJMgEQYQCEuEowtf4rpZomhFao23NTCvFVPotiqLuMUgoRVi5b9Z89TbK32rBZ1nNRta= yGVEmQSYIIhSQCEcBZhOizFi1Zi1gX7YxalNrGy0XsNIaZlmtym8lLOtZyxqX+hIMUSZBJggiVJ= AIRxBfE6iMhNPMPGWWstZyM+0r56lFSy+RSmu+WfFl7UO9XE+sfc3ENivIJMYEQfgDiXCYMWNB+= iOseuv4KsRGfTK7XAuzomq0TE981d+seLVWHFgvXq0luiTGBEH4A4lwmPDX6tX71hJfX9Zh7Vuv= P0b9ZG2vFiae5+XlUiIWKx6sJcZaQuyLKGsJsl6GtpYL3MwxEwRBsCARDjG+WJD+CK/WMjP70vt= Wo0y4MiPWeqIl7UvLwpVEWokvAit9G4kva55R7FhPpFnnhMSYIAg9SIRDQKAuZ18E1cjdbGa5Uf= +02jY6VjPxV+VvdaY1ax3Wt3p7PQE2EmstITZrNZMYEwThCyTCQcas5WvWyjWab9YVzfqtNa3VV= 6Pfdz67zuO4swbe4TH95yFNNBOd1AJoNg6s3Ja1nCW+viwzgxnrmMSYIAgWJMJBQk98/bV6WSLs= i9D66s5W9/WOP67193QwmV1c6/M28+5qKv/2JxbMElxfBJllBWtZ+WbixiTGBEEoIREOEH8sX39= E19dtjH4DQM7s94N1GkLGHzZdYM7/y51pptzPWr99mafeh4QZcSYxJghCDxJhPwmV+PoqzL5Yyc= G2bCPJrM0XveZJVrMZF7NaePXmq93kZqxiNSTGBEGwIBH2A7UAh1p8/RXqeBJdM6itZj1RNiO8R= suVmLGGpfmsdcyKOUEQ8QWJsA/4Kr7St1mBZS0XRdH0trHgXg4nLFEOVHj1rGQtIVXPJ6uYIAgJ= EmET6Lme/RFfSVh9tXxJeANDKcpmBdnsR40Zy1ZPjEmICSIxIBE2QMv61bKCzQivkdVr9Ek0N3M= oYAmy2hLmeZ5pHSvns8RYy/WsJa4sK5qsYoJIDEiENQg07mtk+ZoVXOlDFm/o0BJkSRiNkrRY4q= zGjACTVUwQiQeJMAMj69es+Gp9WALMmkfCG36UgvzC3c18dknribaEnrCSVUwQiQWJsAKz1m8gs= Vyl2GpZwyS+0cHMjTXyb6Uga7mjJfFkLddCKbhKa1iCxJgg4hsS4cv4Y/2qM5fVbmc9wVVP/3LW= v8JynIR/SIL8wt3NvNzRatEFjJO99DDKuCYXNUHEDyTC0K+HLH0bWb9agqwlxNJvsnpjC6UYKy1= gpRCrp5ViLaEUcvU8wJxVTEJMELFPwouwngDrWb++uJtZVjCJb2yjFmOlqPI8z3RNq8VZiZao6l= nF5J4miNgnYUXYjPtZz/plWb5GAkziG38YWcYs4VVbx0YuZ3JPE0T8kpAibNb97GuyldY3xXzjH= 7UYA/BJlJWwRJXc0wQRnyScCGuJrvrbF5ezXvyXxDexUIqxlisaMPcyCRZG7mkSYoKILRJKhI0E= WO8DwNDiVQoyiW9iI4nxi0ObewmuliArE7fU6CVtUZyYIGIX7as+zghEgJUC63K5dL9FUSQBJmS= e3nBe/nfhz4eV2Kf+t6x2U0vzCYKIfuLeEtZLwDIjwizXs5YlTOJLsGC5qCVrWCteLFnFoijqVt= cCPP+Nk3uaIGKLuBZhIwFWT4uiCIBdZEMtvsrfJL6EGdQuagCaMWLlPJabWhJYdbUuihMTRGwRt= +5oMwJsZN2qXdAslzQJMOErvrio1f8WtcapA+w3fLGmCYKIHuLSEmbdhILheibrlwgWSqtYnajF= 87yHG1ptDWu5qMkiJojYI+4sYVbSip4AG1kd6g9Zv0QwYVnFas+LkRVslNUvoZXERRBE5IgrS9j= XDGhWOUk9USbxJUKB0ioGwIwNA54WstZwJrU1rNxegqxigoge4sYS1hJgPevXyPKlYUdEONGKFR= t5bIziwyzrlyxigogO4kKEtVzQrOxnvcxnl8vFTMIiASbCha9JW1rJhAAJMUHEAjHvjmYJsHK+V= tKVlgtaeUMb/Ic1ETkmIrFRu6cBtktamq+eBzQmbylfDkGuaYKITmLaEjYjwCyrgTXUSGkBu1wu= EmAi4pixilm5DayHTYAsYoKIRmJWhPUE2CjxSu2CVrujyf1MRAtm4sR6QqwVmiEIIjqISRE2soA= B76pXZpOx6H2/RLThixAbiTHAFmISZoKIDDEXEzbrgmYlregJMLmfiWhGihPPv6eFRwxXigdLv4= Er8WAttGLEiRQfbmhoiHQXiATAarUarhNTlrDW07o0Xy9rVPpmZUCTABOxwoyPzwUUJyaLmCCii= 5gRYdbNQisWrGcBq+PBJMBErKGXsMX6t68lwBIkxAQROWJChM0IsNH4X/XNihKwiFhGKcSsvAet= 5ERpHqCdT8GaJq5QWlqK8vJyj3knTpxAXl4eTp8+Lc8rKSnBE088Ee7u+UxZWRn27NkDACgvL5d= /Gy1XzpdYvnw57Ha7YZta67HaDxes4wHMH5O/xGRMWE+AWclYane0KFIFLCL2eXrDeXkssTI2LK= EXI1aPK070lz5MePsrr3krxv2CuW7Xrl1RVFSEjIwMeZ7T6cTgwYOxc+dOjBgxAgBw8OBBdOzYM= TQdDiKZmZnyb+l+aWa5cr6Ey+Uy9QCntR6rfX+pqqpCSUkJHnjgAVPrs44HMH9M/hL1ljArEUvP= Ba31oRKURDxidiwxyyUtQRaxPp9//jmGDBmCMWPGoKysDDabDdXV1V5ikZ6ejmPHjsHlcuHYsWP= o3Lmz/BCj3seyZctw8eJFuFwuLFmyBDU1NZg3bx4efvhhvPHGG/K+y8vL8eKLL2LSpEma/amurs= azzz6Lu+66C1u3bvWarqmpwdy5czFq1CisW7cOR48exYQJEzBhwgS5DaUFuHXrVowaNQqvvPIKX= C6XpnUqzT937hxmzZqF/Px8HD16VLOfrPXU66hhHYvWeSooKMC4cePwxhtvAAAKCgqwZMkSvPba= a17ngLW+8jhZfdVqO1CiWoTNCDDL/aYnxCTARLwhCbGWB8goUQsgIdajZ8+eKC4uxvz583HgwAE= AQNOmTXHhwgWvdW+77TYcPnwYO3bsQFZWluY+srOzsX//flRUVODmm2/Gjh07kJOTg1WrViE1NR= WVlZUAGi3DjIwMvP7665r7KikpwbBhw7Bx40bk5OQwp7dv344zZ86gsLAQ1dXVuO+++7Bo0SK5D= aWg9OrVCytXrkTLli1x/PhxTetUmr9r1y4MHz4cL7/8Mtq1a6fZT9Z6rHOrRH0seuepdevWWLp0= KaqqqmC32zFlyhQ8/vjjyM/P9zoHTqfTa33lcbL6qtV2oEStCGsNRVJOq28yeokqZAET8YxSiPX= CMVpeJAktIU5kKioqkJ+fj/Hjx8PlcgHQPj89e/bE5s2bUV9fj+bNm2vuIyMjAwcOHMC+fftw66= 23oqGhQbaa3W43BEGQt23VqhVsNpvmvpxOp0e4QT0tiiLmzp2LzZs3Y926dcjOzkbv3r2xePFi1= NfXex2Dsh96Q93U7anX1eqncj3WuWXtW0LvPHXq1AkpKSno0KEDXC4XOI5DbW0tGhoavM4Bz/Ne= 6xsdk17bgRCVIqwlwFpP8loJKhQDJhIJvWQt1igBM5nTEoksynV1dTh79iz69+8vi2FNTQ3S0tL= kdTiOA8dxSEtLQ2pqKvr27QsA8o1avQ9BEJCeng6O45CSkoJ+/frhgw8+wJgxYyCKohxLZombel= 99+/bFu+++izvvvBObNm3ymu7Tpw82bNiAoUOHYvr06SgqKsLEiRMBNI5jVbbB8zwOHDiAvLw81= NfX4/rrr/darv6dnZ2N1atXY/r06R6iru4naz31OurjVR+LmfMk/S2aNWuGvXv3oqioyOscsNZX= zmP1VavtQOE+/fRT96BBg4Kys2Cg9VSuJb7kgo5esgbeEekuJCQvDm0u31CUH+WNRvot3YDUHwA= evyXiJVErkGIdDocDhYWFyM/PD6gP27dvx1VXXYXu3bsHtB8iejEq1rFt27bosoRJgAkicPTKXB= rFh7Xc01rTiUhFRYVs6QZCeXk5OnXqFIQeEbFMVImwhJEAmxFiEmAikTEq6KElxhJG7ulEpkePH= rj55psD3s/kyZORkpIShB4RsUzUiLDesAnltFEMmJKwCKKRpzec101c1LOKJVhCTKJMEMEjKkTY= yP3Fsn71xJhKURJEI1KtaT1Pkl7yozRPDQkxQQSHiIuwL3FgM25oEmCC8ETrpQ9mY8QSFB8miOA= TcRFWY0Z8WUIs/SYIwhu9ty8ZCTDFhwkidERUhLVivup1WPFg5Rhg6ZMz+/1wHwJBxAxGgqvlnp= YgtzRBBJ+IibC/cWCtWDAlYhGEPjM31ugO6TMKA0mQW5oggkfUuKPNxIEpE5ogAkNdVcvogVfPR= U0QROBERIS13NBmLWASYILwH2nokp41DGhnSpt1VRMEYUzEY8K+xIDVbmjKhCYI/5jx8TlmeIf1= ACxB8WGCCD6WcDeodfHqPYGzsqEpE5ogAkO6hniel68tjuO8LF3WNat8m0y81JMmiEgQVkvYrBt= aS3SV8ygTmiACgxUfNkrSUkLWMEEETsRiwmYEWV1aj+LABBFcWPFhowdko2xpgiDMEzZ3tJ4bWv= lbLybsdrspDkwQQUbphpauOQme5yGKovzaQy3XtNItTS5qgjBP2C1ho2xLvUQsigMTRPBRjx/Wy= 4o2a/WSdUwQ5giLCGslePgSF3a73eSGJogQoX7jkp4LWm8+QRC+EXIR9lV4tZKxyA1NEKGFNWzJ= TKKWloVMokwQxoTNHa0lxupprWQsgiBCj57gahX0UELCSxC+EVIR1rOC1dMsNxi5oQkivCiHLWm= 90MEXtzSJMkHoE7aYsN6Fy0rAIjc0QUQGpVvazIcgCP8J2RAlo6diliizXNEEQYQfadiSdA0qhy= EpxZc1bImGLBGEecJqCZvJhFZOkxuaICKDMlua5aEySsoiCMIcIbGE9YYssC5grbJ5BEFEDrUVr= BZlybo1Yw0TBMEmLEOUjBKyWGJMVjBBRBZlSUvWdcxK3JKgrGmCMEfQRdhfK5heUUgQ0Yd67LBe= chZLkEl8CUKfoIow6+lX70JlxYEpGYsgogsjASZrmCD8JyTuaDNWsNaQJHJDE0R0oTVkCdAf+y9= B4kv4y/79+3HgwIFIdyOkBE2EjaxgsxnSBEFEH2Zc0vFqDZeXl2PPnj0e80pLS1FeXu4x78SJE8= jLy8Pp06fleSUlJXjiiSeY+z127Bg+/fTToPct0pSVlfndJ/W2FRUVuPnmm4PVNb8J5XkOena0l= hgrf9N7ggkitpjx8TksuLell+CqM6fVmdKxkh19YU6217ymz+wGAGaYrGvXrigqKkJGRoY8z+l0= YvDgwdi5cydGjBgBADh48CA6duzIbDM9PR3p6ekB9TsaQ3iZmZlB2/aRRx4JtDuoqqpCSUkJHnj= gAb/3EcrzHBQR1rOCldPqZXpP0ARBRBfKh2h10Q71dawWX0mgY5WtW7fi1VdfRXZ2Np544gnYbD= ZUV1fL71qWSE9PR1lZGVwuF7799lt07txZtphramqwcOFCHD58GKNGjUJmZia+/vprZGVlYcmSJ= SgtLUVOTg4mTZoEnudRXl6O9evXo7S0FFVVVbj66qsxffp0TZH7/PPPMXPmTK/1qqurUVBQgN27= d2PGjBno1auXV3tHjhxBcXEx9u7di8GDB6OqqgqVlZV47rnncN1116G0tBROpxM9e/bE8uXLkZe= Xh+TkZJSXl6O4uBgHDx5E//798dhjj6G8vBx1dXXIysryartFixYefbz22ms9lrdt2xZ1dXXo0q= WL5jlRtjdy5EiPc3rDDTd49aegoAB79+7FqVOnMHDgQKxfvx4VFRXo1KmTvN2wYcM8zqX6bxXow= 5IeIU3MUs5juZ6V32QFE0R0o5UpDRjXhVcSiw/cvXr1wsqVK9GyZUscP34cANC0aVNcuHDBa93b= brsNhw8fxo4dO5CVlSXPLykpwfbt23HmzBkUFhbC6XTC7XZjx44dyMnJwapVq5CamorKykoAjdZ= XRkYG3nrrLRQXF2P+/Pm68dGePXsy1yspKcGwYcOwceNG5OTkMNsTRRFt2rRBYWEhKisrkZeXhy= lTpqCsrAzAlTweAHC5XPLfUBRFtG7dGkuXLkVVVRXsdruH1ahuW91H9XJpW71zomxv27ZtXudU3= Z8pU6bg8ccfR35+vnxOR4wY4bGd2spV/61C6W0I2BLWu8CUF6T0zYopRZs7JbS4Pb7CBif/jyD8= Rs+LFc/WsLIEp2T5aj1M9OzZE0uXLkXz5s3RvHlzeb4oipg7dy6ysrLAcRz++9//AgAaGho89i8= IgrxNq1atUFlZiUWLFqGyshIjR47U7GNFRQVzPafT6WGta7X385//HKmpqWjfvj3S09Nx8uRJWf= wEQcDJkyfhcDhw8eJFj3Y7deqElJQUdOjQAS6Xy2OZum11H9XLjfqobs/pdHqc07KyMq/+cByH2= tpaNDQ0yOf0p59+8thOjfpvJT2MhIKQJGYZXaCJaAV3OrMR15/+EO1PvI/2J95Hp5824frvP0L7= b99H+29DP+0WXXC7RSAGrRAiejDKlNb6jkXrV4LneRw4cAB5eXmor6/H9ddfD6DRZZmWliavx3E= cOI5DWloaUlNT0bdvXwCQBaRPnz7YsGEDhg4diunTp8vb9evXDx988AHGjBkDURTlGDLP8+B5Hn= V1dTh79iz69+8Pm83m1TdJxLTW69u3L959913ceeed2LRpE7M95X6U39Lvjh074rPPPsPUqVM9r= H/lOtLxK+ep21b3Ub1c2tbonEjtZWdne5xTVn+aNWuGvXv3oqioSF6u9beQUC9X7jfYcJ9++ql7= 0KBBfu9AK+6rlXzlcrngcrnk34lSnKP9icYHjaSkJDidTvmJMVzTx1oPAc9bAF5ofPLjOITaMs4= aeEdI909Ehvn3tADP8xAEQb45CYLgcQOWfks3QukDwOs7EkhWkb84HA4UFhYiPz/f730cOnQIZ8= 6cweDBgwPqCxG9WK1W3eXbtm0LzBLWigFrPQmzXNGJIMBKpBtXuKdFRz1EpwNuVwPcIlnEhP9I1= rC65jsQf7FgLSoqKmRL1x9+/PFHvPTSS+jcuXMQe0XEIkHLjtZzR7M+ifaSBskirauri8i0eKkO= cIvg3EngLQA4KzjOjYSJE0fq31qcxuKNYsPKeJ5ErMaDWfTo0SOg7du0aYO33347SL0hYpmgjhP= Ws4JZ1nAiWcGCIMgu+EhMuxrqAY4DD8DN8eA4HuD4eNQHD87+axpEUYTdbgcApKamhnW6/ahX5X= MdTyJkdtwwoJ2gFcuJWgQRLPwWYbXYqpeZ+SQSkbKApWl3gwMibwHHC3ALjUlaHOLfEpbOg8Vii= ci081I9eIsNvCBcFmL+cjw+9jGTKa0UWy1RJohEJijpXnpZkCTCnihjts888wzWrFmDTZs24Z13= 3sGQIUM8lj/88MP46KOPsGXLFkydOhUAMGzYMKxZswbFxcV47bXX5PUnTJiATZs24YEHHmDGhN2= iExBdcIsuIAGzpG02myyM4ZxuqL8A56U6uBocEF2XM9TDPj4tNGgJr3q59JsgCG9CNkRJ+tb6JM= KwJCVJSUkQBAF1dXVoaGjA//t//w9t27bFnDlzUFFRgfbt2yM3N1denpSUhBEjRuDHH38Ex3FIS= UmBIAi4/fbbUVdXh7///e/o1q0bsrKy0K9fP+Tm5qKkpAR///vf5e2V7SUqFosFFosFdXV1sNvt= YZ++dPG8LMSi0wG3KMbN84/0vmEzYqwkkcV5+fLlsNvtAdVXDgZGtZClfhKhxy8RNnJFS99kBV9= BnbVcVFSEqVOnYvfu3Th69CgAIDk5WV7+9NNPIzU1Vb5QpCEfkrUlxXp5nkd+fj6+/fZbzJs3T7= O9RCVSFrCEo64GDfUXL1vDlyCKzrjyQuhd2yxhjsdrv6qqCmvXrjW1rlRtKjMz06OaVjDbMINRL= WRlVaxgEexjiBeCUjFL60lYS5ATKSFLQi9me+ONNwIAKisrkZSUhIyMDPTt2xf//ve/5QvF6XSi= oaEBJSUlyM3NRV5eHg4ePIiHHnoIPM/jz3/+s2wBs2LCcEbgoKOAyMeE68BbrOAFKwRLEtwuF2C= JHyFSJ2gp60ork7RiOQ6sriPcpUsX+YF3xYoVHrWJ+/Xr51Vj2W63Y/78+Th37hyaNGkCAB71ld= U1n3me161/PHr0aI/+KOseL1u2DHl5eUhJScHSpUsxefJk5jGwaiGfO3fOq581NTVeNZzPnz/vV= YvaqH4zAPkYvvnmG9TW1mrWbU40gm4qaVm+6lqziYraQh03bhy6deuGM2fOYMmSJRAEARMmTIDd= bsdrr73mdfNas2YNHnzwQQwZMgQ//vgjbrjhBvz73//GwoULUVxcjJdeekl33HCiorRQn3nmGax= duxYbN26UY/E2mw3PP/88tm3bhm3btmHLli3YsmULPv30U/ziF7/A8OHDPWLx0v6kWPyIESOYFr= HL2QDR2QDR5YR4uWpZvF0DZjxeescc7edDXUe4uroa9913HxYtWgQAHrWJpXsdcMWa3LVrF4YPH= 46XX34Z7dq1A+BpiarrKbPqMSvb0KtrnJ2djf3793u9AtBMLWRWP1k1nNX1nlk1sdX9V56nLl26= hK0ucywQcHa01jxyRXvCslCHDh2KESNGoK6uDsuWLcPZs2fhcrnws5/9DC1atPBw3QwdOhQ1NTV= 4/fXXAQBjx47F4MGD8d5776FXr16oqanBpk2b8NBDD6FLly44evSoR3uJitpCfeyxx+RY/OjRo9= G9e3fk5uaiuLgYs2bNktfv2rUr/vrXv6KmpgbffPMNnnzySdTW1mLdunUYM2aM7EpUxuJZ7SUKR= mEoVpY0EBuZ0uo6wgBw6tQpLF68GE8++aRHbWJWjWWpPrLWwzCr5rNe/WNWfyQyMjKwePFiNG/e= 3KN+tJlayKx+smo4q+s9s/bNqictHYPVatWt25xo+GwiGWU/6rmhEzEhS0JtkQ4aNAiPPvooRFH= E0qVLsWPHDo+s6HvuuQdDhgzBe++9BwAoLi5GYWEhAKB3794YOXIk9u7dizfeeEOuTat8AicLuB= F1jHb16tWYNm2aRyw+JSXFa/3c3FzYbDYcOHBATrYCrpxjZSx+/vz5mu0lAsp60oBxrkisoa4jX= FRUhIkTJwJoLEuorE3MqrGcnZ2N1atXY/r06aivrwegX/PZqP6xXt1jQRCQnp4uJ3NqHQProYDV= T1YNZ3W9Z719K8uVSsfw3Xff6dZtTjR8rh2tJ7CSi0VZJ1pdLzoR48GAd+3oWbNmIScnx2MdURT= xxBNP4IsvvpCfHh9//HGMHDkS69atQ0FBAZKSkvDGG2/A4XDg0UcfRVJSEh555BE8+OCDSEpKQl= lZGWbMmOFVO7rCeT2EpCbgbSmN39Zk8NakxoIdISIaakd/V9RY21eO0Tqd8vQrr7yCjIwMbNu2D= XPnzpWXt2jRAqtWrYLVasWjjz6K7777Do888ggefvhhJCcn4/Dhw7DZbGjbti3+53/+B8ePH2fu= HwAudboXSU2aw5baDLYmzWFLbQpLUip4Ib6Eev49LbxqSUu/lbWkjepJh4t4HjGwfft2XHXVVej= evXuku5LwmKkdHbQ7gVFWpHqdREWqZDVnzhzMmTMHqampaGhokG8Kqamp4HleFtGVK1fizTfflJ= cLgoBJkyZ5TK9atQrLly9nbi+1l+jYbDaIoiiL5MSJEz1i8crlEyZMQNOmTXHw4EF89913AID33= 38fa9asgd1ux6xZs3D77bdjw4YNWLhwIVJTU/HFF19g+vTp8v6l/V2K2BGHF6PkTOV6SsFVu6qJ= wCkvL5ctdSL6CWiIEms+uaLZqMfthns6UWGN4x0+fLgci1+6dCmqq6s9lvfp0weiKGL9+vVe248= ePRqDBw/GP//5T3Tr1g3nz5/H2rVrkZGRgV/84hde6ycK6jHDSrRCVvRQHhomT57s4YomohufRJ= h1cfnySWQi9fakREcdo5WGWUix+J07d3osHz16NNq0aYNvv/0WxcXFHtv37t0bo0aNwr59++RYP= MdxHrH4RIwJS5i5/hP9PkAQavy+SxtZw74MUUgEImUBS9OJirqSVVZWFtLS0pCSkoJp06bh448/= xscff4wuXbrIy91utyzOyu3z8/Nx+vRp/OEPf4DFYkFJSQlatmyJBx98EJ9//jmOHj3q1V4iYcY= Vrfw2mk8QiYBPiVlarma9hCzpe9DMf4bwMKIfKTGLFQMOx/Rhx7UJnZgV7rcnSdO16XclRGKWxI= J7W8qJWerkLHVilvQbQNgTtBI5REOEj6AmZuk9xZoZnpToRPp9wuC4y2/v4a5MJwCRqpSVaOOEl= ei5opWPJuGYAAAgAElEQVQJWNJ8SsgiEhm/HseN3M1awpzIfNNmKERXA0RHPcQGO1yX6iDCDlG8= 1PhWI/U9O4jTHM+Du/wqvStinBios6LDPZ1osESWNV9LeClLmkg0gl47miXAiZwVfQUOHCeAE6z= g3W64RRHgOHAcj8bX24WwZY4Dx1vACRZwPI94f4ewkkjXjnYF/5CiGmUtaUA/R4Q1VIkgEg1TIm= zWkqWsaB04NIru5Vgg73aD43mIvKXREg5p241izwkWcIK1UYiVrukEIFIWcaKME1ZjZpwwuaMJw= kdLmOVy1hqCQOKrplEIwQvg0OgSdrss4AQnwvGSd47jAE5odE3zlsa+JACRjgknor7ojQtWx4Wl= 5WQVE4mKz+5oPeuWdfElaplKJhwHDgLcPA+e4+HmBUDQz54LdvuSVdwYHw5f05Gibe4rcDVcgqP= +AhrqL8BRW4OG+gtw2esgupxQ58gGc7oxS9gKjr/88JMg3gczOSEktATRSEAxYb04MLmiNeC4Ru= vILYADDzcfznPESf/hsn88jG1HCI4DLwiwWJPgFl1wi5ff6MILEF2hHabCcTx4ixWC1dYoxByfE= Jbx0xvOe7xjGPC+L1CpSoJoxFCEjaxe9TzKijaDpIRcQtyUIwkHwH1ZDC3uZMDtlsXR7QpxBjPH= gxcE8BYbBGuSnKGeKMJj5vo3mzVNEPGKX+OEzWQ+EkRUwHHgeB68YJVd8bxggWBLbsxQD3XzPA+= eF8AJFgiWRos4ETwQevkjrHVJfIlExe/ELK3l5I4mog2O4wBBAC+LsBWC6AzLv08OHMBfzk7nBf= C8kAgarHsfoOQsgriC3zFhvcxHaT6NDyaig8vvruU5uHkeECzg3TYgHA+JnPw/OTErEcRFGRcGt= MNXAA1RIozZv38/OI7DLbfcEumuBB3dcSpmLF9/tiOIiMApLFLBAt5iDf1HsDa2JVjkLOmEMIUV= +JK0GQv3jtLSUpSXl3vNdzgcGDNmDL799tsI9Mqb8vJy7NmzJyT7Lisr09y33jJ/911RUYGbb77= Z9D6WL19u+CrRUJ4fX/C7bKV6Wmu8MEEQiYlW/ghrPSCyFvE//vEPr3kPPfQQc92uXbuiqKgIGR= kZHvPLy8sxcOBAfP7557j22mtD0k+JqqoqlJSU4IEHHtBcR3qhTrjbzczMDKgN1vaPPPKIT/twu= VyGGhSK8+MPflfMIrElCMIMsX6PqK6uRkFBAXbv3o0ZM2YgJycH1dXVEEXR453de/bsQV5eHl5+= +WXcf//9KCsrg9PpRM+ePbF8+XLk5eXh66+/RnFxMfbu3YvBgwejqqoKlZWVeO6553DdddehpqY= GCxcuxOHDhzFq1CjccMMNKC4uxsGDB9G/f3889thjAICCggLs3bsXBw8eRElJCa6++mpMnz6dKW= Cff/45Zs6cyVynvLwcn3zyCfbs2YOePXvi97//PQ4ePOixPs/zWL9+PY4ePYq2bdti7969OHToE= O666y5kZWV5nZ+2bduirq4OWVlZpvZ/7bXXam5fU1ODJUuWoLS0VH4X+JEjR5jn5Ny5c5g/fz7O= nTuHJk2aAIDX+Rw2bJjX+WG1wfM8jh49innz5gEAVqxYEbx/UCpMl00yyoKm4UkEQSjR8ozpJWx= FIyUlJRg2bBg2btyInJwcAEDTpk1x4cIFeZ36+no4HA40a9YMnTt3xvHjx+F2u2VLS7LMRFFEmz= ZtUFhYiMrKSuTl5WHKlCkoKyuT29q+fTvOnDmDwsJCOJ1OtG7dGkuXLkVVVZXsYp0yZQoef/xx/= OlPf0JxcTHmz5+PAwcOMPvfs2dPzXVEUcSNN96IFStWoFWrVjh+/LjX+qIoIiMjA6+//rrc7v33= 3y8fm/r8KC1MM/vX237Hjh3IycnBqlWrkJqaisrKSoiiyDwnu3btwvDhw/Hyyy+jXbt2zPPJsnx= ZbQCNon7fffdh0aJFvv6T8Qm/ahfqXTzSb0rKIojE5ukN5wGwhzdKRKvwKnE6nR4WL+Dd77KyMn= z44YcYMmQIVqxYgb1790IQBPz4449wOBy4ePGivO7Pf/5zpKamon379khPT8dVV10l1xwXRRFz5= 87F5s2bsW7dOvA8j06dOiElJQUdOnSAy3W52AzHoba2FocOHUJ+fj7Gjx8vL1NTUVGhu450bJJl= z1q/VatWsNlscrvKt4Sxzo8v+9fbvqGhwWMcuSAIAMA8J9J+lPtinU+zbWRlZaF3795YvHgx6uv= rNY8vUAIqIKz3pEsQBKFnCavX0dsmkvTt2xfvvvsu7rzzTmzatAlAowszLS1NXmffvn149913UV= xcjA8//BBlZWVIT0/HZ599hqlTp8pWs1IklN/S7z59+mDDhg0YOnSo7AqWlnHclcz6Zs2aYe/ev= fjwww9x9uxZ9O/fHzabzaPf0rZ1dXWa6wCN1uLo0aNRX1+P66+/3mt9ZR+kdrds2SLPU58ftRAa= 7V9v+379+uGDDz7AmDFjIIoiOnbsqHlOsrOzsXr1akyfPl0WTfX5ZJ0fVhsAUFRUhIkTJwIArNb= QlRfmPv30U/egQYOYC7WyGiV3gfLjcrngcrnkN8lQzWgia+Adke4CEWEW3Nvycg1tQb7pKX/zl2= tqcxwn/wbg9R1sGhr8L1nqcDhQWFiI/Pz8IPYoMpSVlaGurg69e/eOyf1HO0bivW3bNm1L2JenU= LKCCYJg4e8wx2imoqICffv2jXQ3goLaao21/ccDAVfMoupYBEEYEU8P6j169Ih0F4KGephVrO0/= HvD5EUUvyUIURRJkgiA80BviaDSPIOKdoGVHK+dRZjRBEAAw4+Nz8m+thKx4spIJwld8Gies/Fb= PB6gGLEEQbGK5TGUwkcopBlraMRxES1lHLcyUpowFTIuwMhVcQm/YAUEQBGDsOYt1qqqqsHbtWl= PrSkU7MjMzkZWVFZI2gkW0lHXUwkxpyljAMDFLr0KWUpRZIk0QBCHBEmNlkQTW/SMaXmmoLn3Yp= UsXj3KGUgnJU6dOoV+/fl6lKu12u1c5xfLycrk0o7qsJM/zXmUZlW2MHj1atz9a/dYqgam1fnp6= ute5YJWhrKiokMtaFhQUeJWAPH/+vEdZyl69eun2X6uMJOB/acpoxtASVl4k0rR0YVByBUEQvhC= L9wd16cPq6mqPcoZSKcf8/HxmqUpWOUWllckqE6kuy6hsw6g/Wv3WKoGptT7LCmaVoVSWtWSVgF= SXpTTqv1YZScD/0pTRjM9vUVLHhpXfsXbwBEGEBzPJV2Ys40gglT7MysqS+3Tq1CksXrwYTz75p= FzKsaGhAYIg4OTJkx6lKlnlFJVUVFRg0aJFqKysxMiRIwF4l2VUtmHUn5SUFGa/y8rKmOUetY5T= qmetRl2GErhS1pJVAlJdltKo/1plJLXOJWt/sYSpmLCZpCyCIAgWeveJWIgPq0sfqssZSqUci4q= K0LFjR69Slaxyikoh0SsTKYX5lG0Y9Uer31rlHs2sr0RdhtKozKS6LKVR/7XKSGqdS73SlLGAZt= lK5YUhjf9VfkslKtVlK10uF5WsJABQ2Uqikfn3tJBLVaq/pXKVyt/hKF0ZSNnKRCbRy1D6SkBlK= 9WxYL04MEEQhBmi7eUMhG9QGcrg43NMmISYIIhgwIr7KhNAieiDylAGH9MxYUl8KSOaIAhfoXsE= QbDRtYRZF45yiBLLKn5p9yTc+4B/nVm/9h7/NiQIgiCIGMSUO5rjOK+XMxi9mNsf7n3g44D3oYa= EnSAIgohWNEWYlUChdElrVbeJNkjYCSKyzPj4HF761VWR7kbUIlXWSk5ORllZGex2u2FJy2PHju= Gbb77B4MGDw9RLIlT4lZiltIwTERJ2giCChbIGcmZmpqlt0tPTmWUlidjDr4pZrASteK8dfervz= fHDDz8AaDzWNm3aBHV6aP56cBwAjkOwTiMJO0EEDqu2s1H9ZKOazawayMCVmtJVVVV45ZVXAADr= 16/HoUOHPPrQrFkzfP3117jjjjtivnZyosMUYXWdaMn9rCxLqX55Q7wjCSbP8xBFMejTjnonBAs= P3sKB47nLDzWB9ZksdiLaMHOviLb7iVTb+fTp09i8eTNuueUW3Hjjjfjtb3+Ld99916N+8tSpU7= F161Zs374dAFBYWIjnn39ertlcUFAAu90u10Du3r07XnvtNbktqfjRvffeiy5dumDfvn2w2Wxef= RgwYIB8n5ZqJ0vt/epXv6KxvDGEaUtYOUxJmRWtFud4huM4tG7d2sOCDda0o84Ji42HJUkAL/Dg= BQB88KziYGFG2MtLngEA3JN6EHd/8ZI8//fXFYWsXwQRKli1nfXqJ5up2WxUT/rYsWP4z3/+g7y= 8PM0+SMR67eREx6+YsCiKXhW14p1QWcDSdH2NA9ZkATaXG5YkARabAOGyezoWkIRXzcYu02QhXn= hitO4+SKTjl1ioEa2FurYz0Gh9FhYWYtCgQbj++utx+PBhWVD79OmDhQsX4rnnnkP37t0xbtw4r= 5rN2dnZmDdvHlwuF9q0aSO3JQnz3r178fbbb+Ptt9/GO++8w+yDhLq9BQsWhOnMEMGAWTtaPfRI= OTxJ+i3VjlZ/v7hzfHiPIEyEOibccsAFWJMFJKdZYU22wJZqgcXGQ7BEr1tJS3gBYELP4x7TSov= YX0ikY5eXfnWVXC9aqh0tCIJX7WhpGoje2tHRUD/50KFDOHPmDGVHRzlmakf7ZAkbPcnG6pOuGU= IeE65zAgAEKw+O52Cx8XBbossK1hNdIzZ2mQYgMDHWs6RJoGMHPVGNBXdqpOsn//jjj3jppZfwl= 7/8JWJ9IIKH6WIdZgpzxMIFFAihjAk7HSJ4iwhXgwiXRYTocsMdBaH2QISXhdI9HUzI1R39qOsL= qKdj5f4R6frJbdq0wdtvvx3RPhDBw7QlrHWBKF1G8WwJqy3Ym266CYsWLfJ4Ii4pKcHs2bNx//3= 3Y8KECWjSpAm++uor5Ofng+d5jBs3Dg8//DCWLl2KDz74wGN/0USwhVdNqIRYDxLpyPHi0Ob09i= SC0MDn7Gg9OI7DtOw38dLuSQF3LNpQW7AdOnQAz/NYt24dCgoKPGK8Q4YMwaVLl/DBBx9g3LhxG= DRoEJo3b47c3Fzs2LEDa9eu9YoJR5pgCq86HswiGO7pYEIiHTqU9w7lt15tgWi4JggiHPicHQ14= FuZIlCdbdQy3uroawBUPgHK5xWKBy+WCw+GQ5z3yyCM4fvw4/vznP3utH4khXqG2ds0SCavYH0i= kA0NtCSuzpZX3EhJfIprYt28frFYrevToEbI2/BJhJUpBjvcLSBnDtdvtAIBf/epXuOeee3D27F= msXbsWW7Zswfbt25GXl4fx48fjyJEj+PWvfw2e5/HCCy/oxohDTbQIr5pYEWI9KGlMG9b9gWUJs= +4f0XZPkeo8f/nllxAEwSM+fOLECUyaNAkpKSl4+OGH5TG+oUaqspWVlWW69rSv+w0X0VZH+8sv= vwz53zEgEY6FiyZYqGPChw8fxpQpU1BdXY0hQ4Zg1KhReOihh7B69Wq8++67+Pvf/w5RFDFr1iw= MHDgQ69evx6uvvorU1FQcOXIEU6dODUtMOFqFV020uaeDCVnRnqjzSKThSZHEutPmNa+hr8Nrnl= TnuWvXrigqKvIQYafTialTp+KOO+7AokWLcPr0abRr1y6k/QauVNkCzNee9nW/4SLa6mg/8sgjI= dmvEp8Ss7TeL5wIsCzYgwcPAgDefPNNDBs2DKmpqR7Lc3JyMHjwYPzjH/9Anz59cP78eWzcuBG5= ubkYMGCAXGoumOcw0qJrJh6sRzxYxb6SCCLNqrYnCTArZhxNsOo822w2VFdXe1TMkpBqKdhsNq+= 6zjfccINcY/rpp5/GvHnzAAArVqxATU0NlixZgtLSUuTk5GDSpEk4cuSIV91pdS1rJUrrdf369b= r1p3mel/vy5ptvevWVJWyxWkf76NGjXudauV6XLl2wYMECHDt2DG3btsX06dPhdDrRs2dPD+u8v= Lzcq/+BErTBbtF48QQTZQxXGdO96qqr8Oijj6JJkyY4ffq0vLxjx47Iy8vDnj17sGzZMvmJ0uVy= AQCqqqo89hcI5SXPyJ94YGOXabJlTDSKtN4n2tES2FhJypLqPL/88sselm3Tpk1x4cIFj3ULCgo= wceJEdOnSBa1atZLrOp85cwaFhYVwOp3IyMjA66+/jnPnzuG+++7DokWLAAA7duxATk4OVq1ahd= TUVFRWVkIURbnudFVVFex2u1xHev78+Thw4IBH+0rr9d5778XSpUvx6KOPetSflraT6l2//vrrA= ODVV5YVzNrHjTfeiBUrVqBVq1YedbRff/115vGrj0fr/CrraBsdh7qOtvoY1Odavd5PP/2Eixcv= 4pprrsEzzzwjF6YCPK1z1t8jUPxOzNKajrYLKJgoY7gzZ87E3XffDQCw2+3473//i8LCQnl5fn4= +fvjhByxcuBAA8Nlnn+Ghhx5Cbm4u9u3bhyNHjgQUE44XwdUjEa1if4glS1oZC1YnZgHsTOpIo1= XnmfXwPHXqVNxzz5WXnLDqSEs1prOysnDNNddg8eLFePLJJ9HQ0OCRpCYIAgB41Z3WqyOtxEz9a= akvWn1VE6t1tNXnWr3e2rVrsWTJElx1VeN7rw8dOoSTJ0/C4XDg4sWLHm2o+x8oTBHWcz3rWW3R= ctGEAnVMeP78+XjhhRe8lkuMHz/eY3rlypV46623NPdnhmgX3kBd0SxIiAMn0kljWsORzFrGkUa= rznNNTQ3S0tLkadYx6tWRLioqQlFREQYNGgSr1Yp+/frhlVdewV//+lfcc8896Nixo0dNamn/6j= rSSgFT/jaqP60WPr2+SsRqHW31uVavd++992LUqFFo3bo1Ro0ahdtvvx2rV6/Gxx9/jLZt23r1S= evv7Q/M2tGA91AC5UdyE0j1opXTLpcL8/8zIeCORRuhrh2d1P0n2FItSGlmhS3FgpRmNnxdOhuC= NSXch+o3oRBhJeEW47H728PpdMoup7S0tKBPv3XLKUTzezqCIdIL7m3pUS9aqiEtfStrRodrtEU= gtaMBwOFwoLCwEPn5+UHqUWwSL3W0i4qKcNddd8FiseDVV1/Fn/70p6D0Lei1o80QrU+zgRLq2t= ES/y0bD0tSE1hTWsDinbCZ0ITbKrbb7R6en1BM250iLDwHgQN4LvpeXRlsV7fa9Sy5n9Xzo/19u= BUVFejbt2+kuxFx4qWO9rXXXosnn3wSSUlJ+M1vfhOk3pkj4CFKwTLJY4FQ1o7+7qv7YbGlIoYM= 34gQTiF2OhtfqhEKC1iarnWISLZwsAocBB4QwIGPocvJjEiz3M6xfu8IZfGGWCJe6mjffvvtuP3= 224PQI9/x+xFGb4zwtOw3/e9RlKLOig72dKwTale0knBnT9vtdg/3ZTCnq+udqLnkQn2DiAaXG6= LbjXgqQvfi0OYAILubJZQegVgVYoIIBn5nR6vdSOqasPFG98ctaLC7UH+hAY56J+yXvxvsLpi5Z= 578apjuco63ABwPjuMBcIi/Mxh8Qm0Vh9IClqar60/DKbohugE3AJ7jwQvx8/dn3R+UBTq0qmkR= RKJg2hLWuzCibUhBKOB4DryVhzVZgC3FAlvqlU+SxueH46Pkj8XWxOCTAsGSBI63gOOF6M3UiTJ= CaRGH0gKWpi9ccqHWIaKuQcQlp/uyIMeRKQzvsBVrWrlutFFeXo49e/ZEuhsoKyvz6sfy5ctNjV= U1u55eW0b71ttGa5kv/YqWv0OwMbSEWcXV9SpnxaslDA7gBQ4W6+UxcS43eJ6DYPF8jvnvobHyb= 0uyD7vnBfC8AN5iA3/ZKiYhNkeoSl6GIyZc1yDCJnBIsnBosPBwiogrdzRLeJXjhKNdgIHIlG9k= wSrjqCwkoYfZ9fTaMtq33jZay3zpV7T8HYKN34lZrOSKeLaIOTRmrgo2HtzlzBmLjcc3R34HKBz= StlR/988DPA+et4ATrI3fwStoFlLCGQ/WI1TuaWVW84svvoiMjAwkJyfj4sWL2Lx5M/72t7/hvv= vuw7hx4+R3SD/xxBMAgAkTJuDhhx/GsmXLsGbNGq/9ie5GV7TkjjYV24gh1A/lsf6Qri7bmJyc7= FEOEYBmaUN1qcQBAwagoKAAu3fvxowZM9CrVy+vUorKfUtlHDt37sws86ju23XXXee1Hqtco7r/= 0jFI5S9Zx8MqNancZunSpRg7diySkpKwdOlS3H777fIy1ralpaVeZSIPHz6sWZ7T7HHEApp3eTP= uZ9a8WL7AdOEuu6QtPL7Y90d8XTob/y3/A6zJzWBNbh7wx5LcFNakphBsTRrd0oK10RomfCKY7u= m0tDQkJyfD6XTC5XIhPz8f2dnZKC0txVNPPQWXy4WhQ4fC6XQiJycHdrsd7733Hrp164YBAwbg7= rvvlt8hvWbNGq/9KQs9xCP1v/kQgLbwsrxs0Y66ZKK6HCKgXdpQXSpxx44dGDZsGDZu3IicnByv= 5dXV1R77lixBrTKP6r6x1jNqQ3kMktXJOh7WvpXbZGVl4cCBA6ioqMDNN9/ssYy1LatMpF55TrP= HEQsEdZywUoin916OBbsmBnP3EeVKtSo3eB5wczwgWMELQXSPXL4PSclZ5I72j2C5p9XjeqXqPF= arFQ6HA1arFZcuXQIAWCwWuN1u+YbL8zwmTpyI48ePY86cOcz92e12wIeQRazBsoJZ86N9TLASd= clEdTnElJTGMYas0oasUonKY2eVXDx16pS8bwmtMo/qvrHWM2pD6r8aX0tNdu/eHa+99hpatGiB= 3NxcfPXVV7r9FwTBq0ykr+UpzRxHNBI0d3Ssj/tTo10ikrusj411XclYjV4CdU+rY8JvvfUWbrr= pJvTq1QuZmZlwuVxYuXIl0tLSUFJSgtzcXIwdOxaHDh3CQw89BJ7nMW/ePMMYcbyjVwUrFgRYKR= jqkonqcojq9ZXHri6VOH36dCxYsABPP/00pk2b5rW8R48eHvuW9qtV5lHdN9Z6Rm2wjpl1PKx9K= 9ezWq1o164d7HY7UlJSPJaxtu3YsaNXmUi9MptmjyMW0CxbCXiWrpS+pTdWKH+rS1g6nU6Iohhz= 5SujvTZzNBIt8WA9/BXiB//dDMAVKzczMxPTpk1Dq1atUF1djXbt2qG8vBxTpkyB2+2WLZ7Zs2d= jwIAB+OijjzBkyBCkpqaioqICv//97z3253K5MPZnx9Ei2YIWKQJapljQPElAExsPqxD7D7OXfr= segiDAYrHIN1Dpoy5ZGe68kkDLVhKEGcyUrTT1GKqVwaiVcBFLFnG8vQaQ8Mbf4h7qGO64cePQo= UMHvPXWWxg1ahS++eYbZGRk4O6775ZjvGPHjsWgQYOwZs0a3HzzzaipqcG//vUvdO/eHdnZ2QkV= E5ZEVkks3RsIIhwEVKxD+q0ccqCcF62Q4CYmvrqn1TFc6XerVq1w4403ynW/T548CaCxlOHIkSO= xe/duvPHGG+jTpw/cbrfs1q6rq/MaJxyvMWH74x9BUM0zCllF8z2DIEJFQDFhwNNVrb7IZvRZER= UuaRJdQsIXIVbHhFevXo0WLVrg/vvvx4MPPogLFy5g3bp1+Oqrr5CcnIzf/OY3OH36NF544QUkJ= yfj3//+N379619j5MiR2L9/Pw4dOuSxv3iOCau9Ymqr2NfRFwQRr+iKsNK61ZqnlZQV6QuJhDf0= xEI8mIWv2dOSRbxv3z5MmDDBI6YLXInxjh071mP6rbfewltvvSVPq/cXz7CEV5pPEMQVfLKElVV= uWOKsV44uHJDwEr5gZBWHo3Z0vGN0XyBRJhId0yLMsoDVy9Xfob7ASHSJQNGzisPxPuF4jQkbPY= xH8mGdIKIJvxOzAM+XcitjwsoX1Qc7LkzCS4QCllUcjtrR8YrWQzklZRGEJ6Ze4KC2gLWyoJUXn= DSoOhgFt0l4o49YjQfroeWeDrVFHG848j8GD+0xvyS4BHGFgMpWKocmacWL/b3gSHiJSKB0T4cj= JsxzjS8Gka+SONEnM7FgvXrSBJEoBDRESWnlBlrGkkSXiCY2dpmGt9wvweEScdEh4sIlF87bv0e= N3YWLDhENLoUlq86vMjnNc4DNwsHKcxD4xndmcUDMC7FeBaxoG0VBEJEm4OxooyddjuPwdN+38O= LO8V77I+GNTeLRFc1iU5encMeRl5AkcHBZebguP3NaeA4NYuDuZI4DrDyHZAsPK8+B5xv1N5Zl6= dJv10PQeSAn65cgPPHZElYLsLJYByvOpb7AElV4W377Ks6ePSsn+7Rp0yZs05Zbngc4Dhy9mckn= OI5DcdfGVxbefuRlcAAsPJBs4eEMhggD4PlGSzjJwsEm8OD52P77mM16JjEmiEZMiTBrXLCEulK= W8q0oSrFOVPGV+PHHHwFcOZfhnHY66sALFnC8BRzHg+N4EmOTSP+mt3f7HwyuKIBF4JDicsMVhL= wqyeoVeA4CB1gFDpYY/9Ow4sBasWESXYKAuRc4aGHmYpM+K6fdEHhv44DWrVvDYrGEddp56SJcj= nqILgfcohNutwuI4+zcYCKJsCAI2H7TU2hiFdA0SUDzIHyaJTXuq4mNR6qNh83Cw8Jf9ljEIJd+= u17zfkDCSxBsAsqOltCKFUvfags5EYmEBSxNN1jPQ7QmwyKmwm1NhmBJAngO0juRfSFR4sFKlCL= yyU2N2dN3ffHX4Lah+BGrMmUU/9XKHVHPI4hEwrQyGmU0spYr3xea6ETCApamG+zn0WCvgdNRd9= kiboDbHfj47URE+ve8ues08ByC9uGkT6QPMADIFU0o2b9/Pw4cOBDpbkQ9fpunZtxOkgUs/V41/= efB6XUM8uOPP8LpdMrnJ5zTTkcdXA31jR/npUYRFl0AyCUdCP68ozhekVzRehnR8SK8paWlKC8v= 95h34sQJ5OXl4fTp0/K8kpISPPHEE+Hunkx5eTn27Nljen6glJWVeey3oqICN998c9DbiWL7Z9Q= AACAASURBVDd8EmEt95J6Wnnhxco7hsNFJCxi0Wm/LL4OuF2ORgEmSzgobOwyjcQY2vkhyuV620= aae2bu8fpo0bVrVy8RczqdGDx4MHbu3CnPO3jwIDp27BiyPhshiiKzYqHW/EDJzMxEVlaWPP3II= 48E7W9bVVWFtWvXBmVf0UbAgVqWEBs9ESciLAu1RYsWmD17NoqLi/Hss896LL/77rvx9ttvY9Wq= Vdi0aRMWL16M+++/H8uWLcOGDRvw2muvyeuPGTMGmzZtwvDhw5kWcbBIxHiwWRJdiLUEWE+cY+V= +UFNTg7lz52LUqFFYt24dbDYbqqurvYQsPT0dx44dg8vlwrFjx9C5c2f5GD///HMMGTIEY8aMQV= lZGZYtW4aLFy/C5XJhyZIlqKmpwbx58/Dwww/jjTfekPddXl6OF198EZMmTZLbqa6uxrPPPou77= roLW7du1dxWQt02AGzduhWjRo3CK6+8Ir+Sk7UfZfvq/aj7IVnYesdSUFCAcePG4Y033mCeW9Y6= AFBQUIAlS5Zgzpw5cn/U28YqPouwVjxY64Lied7jvaJFMzr52mRcoLZQf/7zn2PJkiXo0aMHOI5= DamqqvDwlJQX5+flo2rQpFi1ahClTpmDnzp248847UVdXh3feeQfdunXDL3/5SwwaNAi5ubnYu3= cvPvzwQ832iNCTqELsyP84rl3RJSUl2L59O86cOYPCwkKIooimTZviwoULXuvedtttOHz4MHbs2= OFhFfbs2RPFxcWYP38+Dhw4gOzsbOzfv1922e7YsQM5OTlYtWoVUlNTUVlZCaDRas3IyMDrr7/u= 0Z9hw4Zh48aNyMnJ0dxWq20A6NWrF1auXImWLVvi+PHGh2vWfpTtq/ej7odkYesdS+vWrbF06VJ= UVVXBbrd7nVun0+m1DgBMmTIFjz/+OO6//365P6y/SyzilyWsdUGp3U9604mG2kJNS0tD8+bNsX= v3bgCNRf2l5aNHj0azZs2wfft2rF+/HocOHcI777wDQWjMZnY4HPJ+8/Pzcfz4cfzxj3/UjRET4= SFR3dPq/A+jZKxY+ncpiiLmzp2LzZs3Y926deB5XrNuQs+ePbF582bU19ejefPm8vyKigrk5+dj= /PjxcLlcyMjIwIEDB7Bv3z7ceuutaGho8AjhSdc6ALRq1Qo2m02edjqdHqNN9LZltQ3AY31pX1r= 7kdpX70fdDzP96dSpE1JSUtChQwe4XC7muVWvI/W3trYWTqdT7g9r21gk4MQsrx0qrF69YQqJim= ShHjx4EJMnT0ZVVZXX8uuuuw4AMHDgQGzZsgUbNmzA888/j+3bt6NZs2YYP348Dh48iF//+tewW= CxYsGCB1/6V00T4SSQh1gs5GVnEsXA/6NOnDzZs2IChQ4di+vTpABrdqGlpV4qCS8eYlpaG1NRU= 9O3bFwBkAaqrq8PZs2fRv39/2Gw2CIKA9PR0cByHlJQU9OvXDx988AHGjBkDURTlWLLkSVTSt29= fvPvuu7jzzjuxadMmw23VbfM8jwMHDiAvLw/19fW4/vrrAYC5H2X76v2o+yGta+ZYpPOlPresdQ= CgWbNm2Lt3L7Zs2SIvZ/1dYhHu008/dQ8aNMjnDaUnQckFIJWtdLvdEEVR/lZ/pKefMQsq9XYfd= zj3/5H5Ssj8/Hzk5uZi+/bteO655wAA8+bNQ58+fbB161a89957mD17Nq699lrMnj1bTvyYNWsW= Bg4ciI8++ghDhgxBamoqjhw5gieffNJj/wBwJqU/BFsT2FKaw2JrAmtKC1hsqRBsKTA7KIbiwf7= BejViPOHI/xiCIMgFTaSbqPJj1joOJw0NDX5v63A4UFhYiPz8/ID6sH37dlx11VXo3r17QPshoh= er1aq7fNu2bYEnZqkvMiVaWZKx8PQbbIyymJOSkuTpuro6AMBPP/2EL7/8EqdPnwbHcWjXrh0AI= C8vD7/85S/x/vvvIzMzE+fPn8fGjRuRmZkpX9AUE44O4t09rZWIpXfdx/r1X1FRIVu6gVBeXo5O= nRIzR4a4QlCd6NKFxnr6VT8ZJ9qYYa1xvBLKmLA0BjEjIwO33norrr/+etTW1mLnzp3o06cP8vL= ysGvXLvztb3+T3V01NTUArngmKCYcXcSjEKsTslgP5HoP3bH6b7NHjx5BGf86efJkpKSkBKFHRC= wTNFNJcn+y3E00XOkKrVu3xtmzZ3H11Vdj5cqVcnxj0KBB2LJlC/Ly8vDhhx+iR48eyMrKwvz58= 3H27FkUFRXh9OnTeOmll/DDDz/gj3/8I4DGqjT33HMPcnNzsW/fPlRVVcFiscgC37p1a1R5J3FG= lHfeeQd1dXXyA0NaWlrYph977DEAkREASYjjxUWtd22zLGHlN0EQjfgtwsqYo9F6JMLetZ1Pnjy= JX/7yl17LJf73f//XK4YMNA6AV66/ZMkSLFmyxGt7j/ZSOgfU92DHg9X/bsI57XA45NhlpP4dbu= wyLeaF2Oi9wQA7HCWRaNc/QWgRspxuvSxI6cJMJJd0JGtHRxu1tbUQRRFpaWngeT6s0/X19bh06= RKcTqecJBgJYt09bfRwTSJLEOYIighrPfmacU0nCpGsHR2tRMIirq2tRV1dHS5duoSGhoaQlfAz= Q6wmbV367XrZk6D+BoxfYxjN/yZDzfLly2G3273qLIerXSL6CLklrPfEzPN8QlnDQGQs4mgjEha= wNH3hwgVcvHhRFmKn02kqrBJKYk2IjWK/iSayvtQ1drlccLvdXnWWg9mGXrvBIppqOUdTX/whIH= +lUVxYuhilhK1EdlupY8JhnfaICft2vkMxPjiSMWFJmKWEOIvFAkEQvKoMhZtYihNrZUObcU/H4= vVeU1ODhQsX4vDhwxg1ahS6dOmCefPmAQBWrFiBgoIC7N27F6dOnUK/fv3gdDrRs2dPLF++HHl5= ebDb7Zg/fz7OnTuHJk2aAGgcnlRXV4esrCx8/vnnmDlzJq6++mq5YEVxcTEOHjyI/v3747HHHvN= oY/To0br9kTh37pxXu6WlpV79S05ORnl5OdavX4/S0lJUVVXp9gWA3J9vvvkGtbW1cl+GDRsmt1= 9eXo5PPvkEe/bsQc+ePfH73/8egiDIbVVUVODGG29EaWkpcnJyMGnSJPA8j2XLliEvLw8pKSlYu= nQpxowZ43G8AwYMQEFBAXbv3o0ZM2Zg69atcl/sdrvX/o4ePco8P+p2Jk+eHMJ/RdoI48eP/1N6= enrAO9K6yMw8fT3QpwXe31kdcB+iGa7tQLh/1hvOpplwpHVDvTUddZbrUMu3R53lupB+OMECXrB= BsCSDt9ggWBu/ecECI1G+pf35oJ+LXbt2we12Iy0tDU6nEw6HI2zTTZs2BdAovjzPw2q1yiIcaY= H4+md98fXP+qLTmZ3GK0cIZXEOrU8siLAvIYhPPvkE//d//4e6ujocOnQIvXr1Qrt27fDEE0/AZ= rOhe/fuaNOmDcaNG4fvv/8eLpcLHTp0wL59+5CZmYmSkhLceuutGDt2LL744gv06tULP/30ExwO= B6655hq0b98eY8eORZ8+fVBSUoKrr74aFy9elAWmV69euOWWW+Q2jPojsW3bNq92z5w549U/q9W= K77//HsnJyXjqqacwYcIE3b5YLBb5mNu1a+fRl5EjR8p/4++//x5JSUmYOnUqKisr0bx5c7Rs2V= Juq0uXLsjMzER+fj6OHj2K1NRUtGrVChaLBceOHUNtbS1atmyJr7/+2qON1q1b47bbbsOMGTNww= w03yH25+uqrkZGR4bW/yspK5vlRtyNVKgwmRg/3x44dC94QJS2U1nJCZ0pzPDjBCsGaDDfcEEVn= 4zyOhzvE7/XlOAG8xQpesIDjBPhqDYcK5QNaixYtMHfuXNx000345JNPMGfOHHn5X/7yF2RmZiI= lJQU//fQTioqKwHEcJk6ciNTUVHz11VfIz8+H2+3G+PHjMXLkSCxduhSbN2/2ak9KxlJ+Iu2OVh= PNVrGRFaxeV/kdq0g1irOysuRjOXXqFBYvXownn3wSHNdY17ihoQGCIODkyZNwOBy4ePEigCu1n= rVqG1dUVGDRokWorKzEyJEjAXjXWFa2YdQfaewxq11W/yQkwTLqC3CllrPVavXqixKpbaX3SWrr= hx9+8PCWSoKVkZGBxYsXo3nz5hg5ciQ++eQTjzbWrl3rsS+pL8p/g8r9ZWVl4ZprrvE6P+p2IkV= QX2Wol6CV6LFhDtxlMWy0RC22JrAkpcGa3CwMn6aw2JqAF5LACRZwHA8zQhyqUpXqmG2HDh2wZM= kSZGRkgOM4JCUlyct/97vfoW/fvti3bx/+8pe/oGnTphg9ejSGDBmC2tpa+Y1SgwcPRq9evfDQQ= w9h165d+OCDD5gx4VghGuPEjvyPTbugWTfkWBVjdY3ioqIiTJw4EUBjWUKprnFRURE6duyIzz77= DFOnTpXfspSdnY3Vq1dj+vTpqK+vB+BZR5lV21ldP1nZhlF/JFjtsvqn7I+ZvgBXajl/9913uvW= bS0pKMHr0aI8a1UY1ptV1tdXHq65ZLfXl9OnTzP1pnR91O5HC79rRSpSWhPRbWUtaWU9ar6b06P= lfB9SP6MYNtyjCLTohik6IDXa4XA6IzksIsSEMcBw4jgcvWMHxFgjWJPCCDbzFBj0xDpUIr169G= vX19bJLsHfv3njmmWdQXl6O7Oxs7NixA88++yxEUcSrr76KHj164LnnnsP27duxfPlypKen4/jx= 40hKSsL69evx2GOPYc6cOfjNb36Ds2fP4qmnnvLYf5MmTeTprl27IiUlBU2bNvX4TkpKilqRiBa= r2Pm7jaZrRCtv3BLRdH4DqR1NmKOsrAx1dXXo3bu3z9uGq652qNsJS+1owNgaNvOJf2u4UQg5/n= J81pYKqy0N1uTmsKaE+HPZGhZsqRCsyeB4K2DSGg4Fagt1165dyM/Px6lTpwA0utGk5ZL12qtXL= /Tv31+2ko8ePerxRqkRI0ZAEAS8+OKLulnSsUg0WMUNkzf4dD2riSYBJsKDngveiHDV1Y6G+t1h= q+ZgJjYcq++DNM1li5Rz83BzPCBYwYsiQm8KN7bdCN/4k4v8uVZ6UKQXi6uX/+Mf/8C1116Lu++= +Gzk5OXI5zn/+859YuHAh6uvrMXPmTAwcOBCbNm3Cq6++ipSUFBw5cgSzZs3SbC/WiHScWLo+Ey= kWTARGRkaG39uGK1M5UhnRSoJeO1r5W+vilH6zPkUzOsW5W5pr/I9rTBqIAi1kEspXF0q1nCUrV= 5qWXIRS5nJtbS0OHDiA3/72t3Lt59WrVwMAKisrIYqi/Eap9957D7fddhvOnTuHLVu2YPjw4bjh= hhtw6NAhr/ZilUjVnpbc0KyHZrKCCSIwwioBWslaeq9DJOIPo3G9SrKzs3HvvffixhtvxNNPP43= 27dujrKwMQGMsOS8vD/v27UNhYaGcDSlZy1ImZyxbwCwi4Z5WXqusZB1WMiZBEMaEvWKWeh7rab= poBr1jM55Rx2xbtmyJLVu2IDc3FwDQv39/bN68GWlpaejUqRPGjx+PxYsXY8CAAfjPf/6D2bNnQ= xRF/O53v8MPP/yAmTNnQhRF7N69G61atcLw4cOxb98+nDhxIi5iwizCJcQNkzfojgE2ElsSY4LQ= JyjZ0RJaFo6UFQ1AzpJmZUurx3COWVAZlH4RvhNKd/SyZcsAeGYth2v6uuuui7nsaCNC5Z5WCjA= rI1rLixWtGdFKfMmOrqqqQklJCR544IEQ9oiIR8xkRwc1MUsZF1ZPq+PE0reypKUyMSveXIixRC= gFGNCOCYdrOt4IVdKWOhmLZQ0bbR8PKEtGZmdne5WYlEowdurUSS6t2KFDB4/1kpOTmaUTCSIs2= dFmxJiV9BH/SVqJSSRrR8crwRZiKRlLzw2dKLHgKVOm4LPPPsOIESMAAMXFxTh9+jQ2b96MW265= BRkZGejWrRsWLlwIACgsLMTatWs91uvatSvuu+8+3HnnnZE8FCIKCXpM2CgjWvo2+4nvscOJSST= fJxzPBOvViNKYYGXylZ4QS8SjAANXyiI2NDSgoqIC+fn5GD9+vJz416pVK/A8j7lz52Lz5s1Yt2= 4dvvzyS4/1srKy0Lt3byxevFiuXkUQQIgSs4yGKWglaWld7ER8QhZxaAhUiNUCbJSMFe/DkpQlI= 7XKOqpLK6rX0yqdSBBBTcxSwiplKf1mfZQJW+pylpSkFT5CHQ8GgHfeeUce9wtcidmGY7pbt25I= Tk5G06ZNkZqairS0tJhPzNLCH/d0w+QNchIWx3EeCVnStBlLONrPJZWtJMJB2BOzlLDiwKx1AHj= FiNWWMRFfjBw5Eg6HA3V1daivr8fFixdht9tht9tDbq0KgiAXA4l3T4uvxT2kbGgtj5ReUlYsCT= BBRBNhK1spobxAlSKtXM76UJJW/MDzPCwWC2w2m/x6QcnaCrUIS21L7xFOhLCH2aQtVja0WoC1t= mP9JgjCmJCKsJ41rHdBSzdj6VuZpEVu6fiA53nZVeN2u2VhDIcIS20rhTjeMbKKGyZvgKAzFEnt= qZJ+K0mE80gQwSbsljCg7Z6WlgGNN0v1i6CJ0BKOeDBw5UZusVjk31arFUlJSSEXYak9QRDkTyK= JB8sqduR/LAuw2v2sfnm6WoDjeWgSQYSDkIuwljVsdNGSWzq+USb5SJapNOQjHG1rCU0ioBZiVk= EOpfuZZQ0rvwmC8J+w3318EV/WjSH+3zucGCj/xpIrOikpKWwfm80Gq9UqJ2klGtKYYuUbkoyKc= gDxPxyJhSiKmDt3LhYsWIDS0lKUl5d7LD9x4gQmTJiAmpoaAMDbb78Nh8OBsrIy7NmzJxJdxvLl= y2G32zWXl5eXR6xvkTwv0UjYK2ap56tRxoCBK25ptThTfDg+IKsqcuTk5Hg95CqHJ5mxgOPl7zb= jw/u85s2/70MAwPnz59G+fXuMGTMGbrcbRUVFHu/KdTqdyMrKwoYNGzBy5EjZo5OZmRmezjNwuV= y6oR1pCGiwMVNnO5LnJRoJW0zYlyQt9ZAllqWSKIUXwkW44sFE9KCVAW3WEo4XATaioKAA//nPf= 5CWlobc3FxUV1d75at07twZX375JX766Sd5Xnl5Oerq6pD1/9s7n9Corj2OfycxMdFaRBEriYuI= lpQX7CIwUg2k7USkUNu6KBJf3DQVfVkYs8izFIQuCuVFMGgMusizC5O3dzF0EaxKTRFENPFPSt4= L9dEqQiQZYrTBJHfeIu9Mz5w5595z50/mzsz3A5e599xzzz03jvc7vz/nnHAYDx48wPDwMO7du4= empiYcOXIEExMTOH36NB4/fozNmzeju7sbi4uLaGxsxKVLl3Do0CFUVVVpr71z507S3NQ7d+5EL= BZDT08PYrEY1q5dCwCYnZ3FuXPnEnNaf/LJJynPp7ZlmudarVdWVpbSL3me7ba2tqR7b9u2DdFo= FPfv38fx48cRDocxOzuL/v5+jI6OIhKJoL29HY8ePUI0GsXExAR6e3uT2qivry+6Objz5oezybB= 0ezGIuaUJIf5paWlJmYjDZPWWsgADwPHjx9He3p5YanPdunV48eJFSr1PP/0U0Wg0cSxbm47jYN= OmTbh48SKmpqYwPz+P6elpzM3Noba2FqdOnUpMVgQkW7K6axsbGzE8PIyenh7cvXsXAHDr1i0cO= HAAZ86cwZYtWwAAIyMjuHHjBp4/f46BgQGt9au2FYvFsH//fvT19bnW0/XrxIkTOHbsGDo6OlLu= vbi4iIaGBnR1dSX6cfPmTUQiEVy+fBlr1qzB5OQkHMdBQ0MDLly4kNLGzMyMtm+FzIpmR9u4pWU= rWLacTXE7JmoR4o+WlpYU4VWnqRT7glIVYB0mL1xNTQ0WFxfx22+/ac9v374d1dXVqKmpwdLSEp= 49e4b+/n5s2LABAHD//n08efIEr1+/xtzcnOu14+Pj6Ovrw+TkJA4ePAhg2S2uJhqKeHY4HDb+u= 6lthcNh1NbW4vz58+js7ER1dbW2nq5fodCf82yr9x4bG8PGjRtRUVGRmLFsYWEh6X1fXl4OYHk+= 7srKSm3/nz59mtK3QiaviVk6K9hmU11oTNTKDLqiSwcRB1azw71WSwKSBbqUUIVtdnY2aTEQ+Uf= Mxx9/jF9++SUl817eF3/H9evXo7W1FW1tbYhGo6irq8NPP/2Erq6uJEtbd606NzUA7Nq1C0NDQ+= ju7k4sEqHOaa1r03aea9O82XK/5Hm21Xur3zUA2LNnD65cuYLDhw/DcRzU1dUlnVfbKMY5uHM2d= 7Qbpon15U91XmkAxvmlxcZErfSgCJcGH374YVLylS4RS86UFshJksVCunNHv379GgMDA+jo6Mi4= D4ODg9i3bx9WrVqFs2fP4ptvvsm4TRIs8jp3tBtubmldwpYolzOldS8EZkwTokcIsM4aEaiWr1x= GlhkfH8fu3buz0tbWrVvR2dmJ1atX4+jRo1lpkxQeeRFhwG4SD7VMxIvVYUvy9JaEkFRUl7M6Bl= 8nwACHkKm8++67WWurubkZzc3NWWuPFCaB8S/5jQ/rXirMmPYPXdHFj0jE8hP7BYrL/UxIUMnr/= zKvX922SVrqRiEmZBl1Qg5dgiPAJUQJyRd5/5+WrhADSEkooRAT8idiLLCaiCUfe7mjAbqiCckl= eRdhN7wEWZSZxJhCTEoV2QK2HfonMO0TQrJPIETYZA3L+14xY1PSCYXYDOPBxUkkEnFdGcnW4qU= AE5J7AiHCgLcQ224UYlLKyAKsE1/bpCwKMCErQ2BEGPD+Je5HgFVLgEJMih03AbZZnIEQsvIESo= SBzDOmVSGWk1AoxKRY0QmwrfUroBVMyMoTOBF2Ix0hVmPGFOJlGA8uHkwC7DYmWEDhJSS/BFKEb= RK1xL6tRUwhJsWIyQVtOy5Y7AsoxoSsLIEUYcAuUUvet40RU4hJseAnBkwBJiSYBFaEgewLsSrI= FGJSqOimovRKwgIowIQEjUCLMJB7i3jo5I4VfZ4gwHhwYZMNAZahABOSP/K2ipIfQqHUJQ5NKyy= ZKCsrS6xFLM+LG4/HMXRyB9cjJoFHtxyhVwIWE7IICTaBt4QF2bCImbBFChWbBCwvURZQgAkJDg= UjwkDuhJhxYhJkhACrCy+Ych78xoMJIfmjoEQYyK4Qm7ZiFmLGgwsL1QLWrYBksnqZhEVI8Ck4E= Qayl6xl2srLy0syYYsEC7EUoe04YAowIYVHQSRm6bBJ1rK5tqysLJGsJcrE8dDJHYjH42jr+U+O= noKQVORlCN1cz27JVxRgQgqDgrSEBV4WsfjUxYNtrGJhhRSLe5qu6OBjiv96Wb8UYEIKk4K1hAV= eFrE6dMlmKFMoFILjOEntcBgTyTXy+F9T0hXgHmYRUIAJKQwKXoQB/0Jsg85NDQCDf99O9zTJKs= L6lb0yqtfGK/mKAkxIYVLQ7miZdFzTOpe0m5tauAiZtEWyhZx8la4LmgJMSOFSFJawQGcRA3+6o= G0sYmH5yptsEQtXdaElbTEeHCzkoUc2Vq+f+K/umBASTIrGEhboXj6mRBU3q9jNSqZVTDLBZuiR= lzUMuH+vCSGFQVFZwgLVIpbLVOtYRzweT7KIHcdJuk5swir+11dvw3GcgrGKSX7I1PoFUkWW7md= CCpuiFGHAXYjlfbcXlxBZIciqMANIclMXmouarAzyuF+3T/FdFMdAauIVBTj/jI6Oory8HA0NDY= myL7/8Ev/9758hn/7+frz99tuu7Vy6dAmHDh1CVVWV1X0fPHiAV69eIRwOp9fxDBgbG8P8/Hxe7= l3sFK0IA2YhBuzixKrw6sRXtpSDGi9mPDg/CPH1El5by5fx39zxl/YLKWUP//k3bd133nkHg4OD= SSI8MDCAJ0+e4Oeff8bnn39udc+lpaWU95MbjuMk3j/ZZGpqCiMjI/jss8+MdXbu3Jn1+5Jlilq= EgWTRVctN7mlZvFWR1iVuye3L54dO7sBf//Hv3D4gCSQtLS2uLme/U056WcIkd0xMTOD06dN4/P= gxNm/ejMHBQczMzKQsiyozOzuL/v5+jI6OIhKJoL29HWVlZYjFYujp6UEsFsPatWsBAHfu3MFXX= 32Ft956C93d3aiqqsJ3330HAPj+++9T2ratr9YrKyvD8PAw7t27h6amJhw5cgQA0Nvbi9u3b+PX= X3/Fy5cv8fDhQ7S2tmLbtm2IRqOYmJhAV1dXwgrXPdujR48SdXt7e3Hu3LlEO/X19a7PU+oUXWK= WCbeELXlf5wZUE7R00wmatqGTO4pmxi3iTUtLC/bu3Zsy5Ei3AlI6m4ACvHJMT09jbm4OtbW1OH= XqFABg3bp1ePHihfGamzdvIhKJ4PLly1izZg0mJ5cn+bl16xYOHDiAM2fOYMuWLQCAxsZGDA8Po= 6enB3fv3kUsFsP+/fvR19enbdu2vlrPcRxs2rQJFy9exNTUFObn5wEAJ06cwLFjx1BfX48bN27g= +fPnGBgYwOLiIhoaGnDhwoUkK1z3bI7jJOqOjIwktTMzM+P6PKVO0VvCMjbuab/oLGPZTV1eXp6= wioPkoibZRZ5ww0/SFWCO+9L9HAyePXuG/v5+bNiwIVHm5UZeWFhIereUl5cDABYXFxM/xATj4+= Po6+vD5OQkDh48iHA4jNraWpw/fx6dnZ2orq5Oatu2vloPALZv347q6mrU1NRgaWkJwPL36eXLl= 6ioqMC3336LcDiMUCiEsbExbNy4EZWVlVbPJuo6jpPUDgA8ffrU+DylTslYwgLVopDL1X23F6bN= cBL55SsPaVpJy5jx4NwiLF+T1eu19KCNQAtM312SW9avX4/W1la0tbUhGo0CWHY3v/HGG0n1ZHH= ds2cPrly5gsOHD8NxHNTV1QEAdu3ahaGhIXR3d+OPP/4AALx69QrT09NoampCZWUlBgcH8cUXXw= AAKioqUtq3ra/Wk/snf5fefPNN3L59G7///jt++OEHfPTRRwn3tajv9WzyQpTa7AAABNZJREFU+= ffeey+pHVP/yDKha9euxd9///189yMv6H7NqmVyzFc+p8aDhatGtoJNFrK85doypgjnBhHzdRNT= NevZTWRp/a4sCwsL1nUHBwexb98+rFq1CmfPnsXXX3+NgYEBdHR05LCHpBjw+tFx/fr10nJHq3i= 5p+U68ktQ57oWvwJ12dO6TbQjJvvg4hDBR8529rJkvYYZ2SZcUXzzz9atW9HZ2YnVq1fj6NGjGB= 8fx+7du/PdLVIklLQIA+7Z06Lc9CLUibiX+KpCLGLGoRDHGQcVdZxvOslUJuF1E1wKcDBobm5Gc= 3NzvrtBipSSF2GBTlDVcvWlaBrWJPb9iLF8jbCOMx3eRFd0Zqgu53QFGLAfdqQ7JoQULxRhCRur= WD62ac/GJW0qE9NhxuNxuqpXCJ3L2WtTk138xHspwISUNhRhDTZWsXysvlRNE4PYiLBqGQsYO84= d6QivztVssnzFse5TPU8IKS0owgb8WsXpirGXQMvtqLFjWsjpowov4L6ylo342oiwuq87JoSUDh= RhDzJ1UduIsVom2rWxmuUxx3JCF+PBqfgVXt15U5lAraM7ZzomhJQeFGFLbF3Uosy2nk5k1X150= nYRIxZ15LrCQgaAq1cpwsBychVgHibkJchu14p9ga3layojhJQeFGEf2FrFarlaprqZ1TL1vA5V= sAEkTRgixEduw3EcXLt2zf6BCwxh6QKpQuklqF71dfvyp4DiSwjxA0U4DbIhxvI5XbKXaCcejye= yb9V9VbDFmGP5vNyfUCiUJM6i/Mcff/T7J8g7quCqn6aydETa7VPd1x2bygghhCKcAX5c1HK5/E= IWxzaxY1nk3cTW7ZyunhBmuezq1avWf4dcIost4C2KfixYG6GWP01l6jmvMkIIEVCEMyRdq1gVY= 7WObL06jpMi3H6EVxVgnSCr9ffu3Ws874VJwCORiPZZbY79CrFa38alrLvOdG+3PpvKCCFEhSKc= JbLpolYRU2Gq15tiyzoRVs+pfbKxmFVM5ULA3bAVNi9RNgmlH4vZpj1T392eixBCvKAIZxkb0VV= jwJncS3VTqzFl9Z6qoLvVddvPBl4WpB+rNBNx9RJ8t/66lRNCiBcU4RxhEmP5nHre5KoWLmn5WL= V+dfdULWHdPU3WrpcV7HXORLru3HRF2M+1bvfVQfElhGQKRTjHuImxfF6uo77cdfFjnRCrn/KKT= nI7+RJhP4JmK4x+xdmrPa++UngJIdmEIrxCmCxRmzoixukmeqpr2ivOqhNw+d66HwI6VHe42zO5= kakIq8fpuJYpvISQlYYinAe8rGO5jls9nfDaur9Nrm/T/bIdD9b1za3cr4hmGs+l8BJCVgKKcB6= xEVq5nk5k1TI38dG5o01tqv2yFaV0ssD9xl39xJAzvRchhOQSinBAMAmAl+jK17qNPXazmL1c3X= 7QJYp51fdzLhcWLcWXEJIvKMIBx02IbIdBmdqxbTObCVg2593qZKNtP/UIISSXUIQLGDeB9HJ16= 0TIZEnbJmm59TNX9Sm6hJBChiJc4PjNulZJZ+IQm/ayJXrptkPRJYQUAhThIsI20ct0jR/SEfxs= 3DdX7RBCSD6gCBcpttZvLtrPFRRcki0qKiry3QVCAPxfhK9fv57nbhBCCCGlxQcffBD6H/UEMs6= P6NYnAAAAAElFTkSuQmCC" width=3D"481" height=3D"289" alt=3D"" /></p><p style= =3D"margin-left:46.4pt; text-indent:-18pt; text-align:justify; line-height:= 108%; font-size:12pt"><span style=3D"font-family:'Times New Roman'"><span>b= )</span></span><span style=3D"width:8pt; font:7pt 'Times New Roman'; displa= y:inline-block">     </span><span style=3D"font-family:= 'Times New Roman'">Conocimiento sobre la plataforma Chamilo</span></p><p st= yle=3D"text-align:justify; line-height:108%; font-size:12pt"><span style=3D= "font-family:'Times New Roman'">Referente a la interrogante relacionada con= las ventajas que se obtiene al mediar las clases con plataformas virtuales= como Chamilo, en la figura 2 se observa que solo el 18% de los encuestados= acert=C3=B3 en su respuesta de que todas las anteriores corresponden a dic= ha ventaja, lo que deja claro que es escaso el n=C3=BAmero de docentes que = ha gestionado el trabajo con esta plataforma. </span></p><p style=3D"margin= -bottom:0pt; text-align:center; line-height:normal; font-size:12pt"><span s= tyle=3D"font-family:'Times New Roman'; font-weight:bold">Figura 2</span></p= ><p style=3D"margin-bottom:0pt; text-align:center; line-height:normal; font= -size:12pt"><span style=3D"font-family:'Times New Roman'; font-style:italic= ">Conocimiento sobre la plataforma Chamilo</span></p><p style=3D"text-align= :center; line-height:108%; font-size:12pt"><img src=3D"data:image/png;base6= 4,iVBORw0KGgoAAAANSUhEUgAAAaoAAAD0CAYAAADKfGLFAAAABHNCSVQICAgIfAhkiAAAAAlwS= FlzAAAOxAAADsQBlSsOGwAAIABJREFUeJztnXt8FNXd/z+zu9kkSxKQiIiBCmgFfAJoKSECKhAi= lUcQEaIJd5GqeRRIf0ZRa73RUoM1FYii5IHn0aDWPhawhlvqhUosFyEkBGKjWKNyqVESctmEze7= s74/lDLOzZy672cvM7nm/XsvO5cyZM0tmPvP9nu/5Hu6jjz5yg6F73G7//pv8LS8+huM41XJqZQ= hay3X3GAaDEb1YAGDChAkRbgZDihahUSrjj1BJyxKhkBMurYKmRXBCKXgMBsP4fPzxxx6hYkSe7= giTv9vVyoi3cRwHnucVj+2O1SQnkmptYjAYsQMTqgiiJiTS/VoFSa0cx3Fwu90+Ljzpfmk5JQuL= Jh7+Cpn4HOJtcvUqlWEwGNEDE6ow011xUlpXs47E28h2qQjRRIkmaGqiIieA0jrE5Wn1+StcTLQ= YjOiDCVWY8Kc/SasYaVmWO5dYPKSuPZ7nhQc+WaZZYEqiQBMPJQtLuk+LcAXDimMwGPqHCVWI0S= pQcuKkJkb+iJV0v1ik5Cwp8bI/VpRSGZoo0dqqZHGptYVZWQxG9MCEKkRo6U8KRIS07JM7P60cW= ZdaVnLuPsDXHSgWDZPJ5HNeWjma+Enr1RoGH6woRQaDoU+YUAUZLf1EWgTI329/l7VE+0nLiF2C= YpT6nsT7adYXTfxoYiUnWnKWlhYrjcFgGAMmVEFCi6tNuk9ObGj7uiNg/rZHiprrTrysJlLSY+T= 2qwmYXDtp18BcggyGsWFC1U38EQSamKhtoy3LHUs7h9x5aQ91pf40JWtGSYxo22nfctukIqXkkl= SDuQQZDGPChCoA/Ol/0ipO4n1aRMufb1qbaA988q1mvdCESEmw1Fx+5FtJsGhipbX/iibMgYodg= 8EIP0yo/ESrBeWvpaR1H62MdBvt/OIy0oe29AFOgiq0POT9We6OSEnXxWKl1TUobo+cUDPBYjD0= BxMqjQQiUEoWkxZx8tfion3LtU+6zHEcsp7Y4nVMxk2TheXf3ZKkyc0nty8QsaLtUxMuNWjiywS= LwdA3TKhU6K5AKYmUmjj5s5/2DcBHfALl8d1tfpVfNSVZU1+VP1ZUKIVL3AaACRaDoSeYUCngj1= Xir0CpiZWaFSVeD5YYBZPHdrVSt4sFTMl6kluW+9DK0NyDcigJFhMrBiOyMKGiICdQ4mU1gRJnf= ND6USov3qdHYdKKVMBWTUkGoCxKtG1a9wPeYqNVsJh1xWDoByZUEtSsKC0WFM/zqgKkRcjI/kmP= /yXEVx05aMLVHdHqjmCx/isGQ58wobpAIFYUzXqSilSgFlU0i5MSUuH6/S9SuiVQNMHSCnMHMhj= 6gAkV5CPhtFhRtE+gYhWr4qTEip0tALwtLZpwmUymbouWnAAxdyCDEVliXqi0iJQWcZITKjXRYu= KkDbGlJRUtaeBEIAImh9QdKC3LrCsGI/TErFD52xflr0gxgQodYtEirkG5j9vtVhQrk8nkJXI0x= C5A8TYCEysGI7TEpFB1x4qSEyCtVhQTqOAidg3KCRIREul+k8nkkxFeSbSUrCvmCmQwQkfMCZWS= SGm1oqRCpGRF8TzPxCkMECtLLFgAvMRJal0B8oOHxYhFSWpdMVcggxF6Ykqo5Kwn8q3ViqJZT7Q= yTKDCj1iwaGJE1sXWlNjCkkITHnGIu3Sb3DEMBiNwYkKotPRHdceCkgoXE6jIQwRL2ocldd0pWV= w0C4uUAdRdgUysGIzgEPVCFSyRUvt2u92Y+Ni7Yb8+hjKkD0sqWACo4kS2y1lYgPdMx0quQNZvx= WAEh6gWKiWRogmVXB8T+VYSKyOnNYoFpIIlFijA1x1Icw0qBVkA8sLErCsGo3tErVCpiZRUrJT6= nZS+mZvPWIgFC/C2qsTiJV6Ws6zEMLFiMEJHVAqVlqAJpX4oLVYUc/MZmxU7W7zcgYD69CNaBYu= JFYMRXKJOqPwVKS0CJV5mAhU9KFlXNKEi3zTREouQWr8VEysGwz+iSqi0ipRcX5RUnKTrzM0XnR= DBev7Wnj7CJB0UrNR/JYZFBDIYwUPdl2EQ5ERKToyk28jH5XJR15lIRT+P7jin+vcg96JD+wD0y= TZp6wwGQ56osKiURIosK42FYq4+BkHcdwX4WlbibWph7KQMs6wYjO5heKGSipT0DVYtq4T0w1x9= DJorEPDtryICxfM8EysGI4QYWqgCFSm5/ijyYVYUA/C4AkmgBeArVGRZOv6KBhMrBiNwDNtH5Y9= IyQmTy+Xy6YNgIsUQs2Jni6LVLWelsz4rBiN4GNKi8leklFx94gcLEykGDbErkCDnElRzBzLLis= HwH8NZVHJvot0RKWZJMbRAiwpUighklhWDERwMJVShEikWNMHQChErOZey1vB1gIkVg6EVQ7r+A= FBvetpHSaAmrPi/CF8Fw4iQIAuxa08cvk6WSf5AOZTcgAwG4yKGsaho/VJy46SUIvqYSDGCAS3I= Qi7gQsnCAugWFLOqGIyLGEKo1ERKKQRdGtXHRIoRLKRiRRMnLe5AwDsoiMDEisHwoHuh0iJStIc= CESnpw4OJFCOYaLWstIgVwPqrGAwauu6jkgtDF6/LiRRtnYkUIxSQ8PWiqb2EfinytwfAq69KTX= hY2DqD4YtuLSq5t0ylSCrWJ8WIJI9sb/arn4qGVkFjMGIJXVpUNJGSEyYtwRNMpBjhglhRBDkLC= 6CLkVwkILOqGLGMbi0qQD4TOk2saEETTKQY4Uapz0rub5dFAjIYyuhOqGidyTSR0hKOzkSKEQmI= WClZ+UoubBZcwWB4oyuhUrtB1fqkxNuYSDEiiVisxH+X0mUtgsXEiRHr6EqoCGpuPtoDQHzzM5F= i6AFxbkA5d590XYycWDHhYsQauhEqLRaUeDvtAUA+DIZeoOUGlHMBAr5jBeVgYsWIJXQR9Sd9W5= QTLTW/P8+zLOgM/UH+ZsURgFKryp+8gAxGrKEbiwrQNl5Kye3HRIqhR7Rkr1ALqGAuQEYsE3Gh0= uLy02JNMZFi6JkVO1uogUByL2EAPRuLFCZWjFggokKl9NaoxZoi3yx4gmEE5IIrpNsA+T5aso/B= iCUiblEByumSlG5ssp3BMAo0sVL7EJgLkBGrREyotLr8lASKufwYRuTRHeeo1pSadcVgxCoRt6j= k3hq19FMxkWIYFbXxVGpucLKPwISMEc1ERKjkOoVpNyftrdPtZoN6GcaGNumimuuPwYhVIh5Mof= T2qJSChsEwOsQFKGdRaem7YlYVIxYI+4Bf2g1G1rVE+DGXHyOakP7NSxEPBJYO9nW72QBgRmwQ0= cwUWnzyzOXHiGYe3XEOz9/aU1gnGSjUrCdSlmzX67xVXV1dkW4CwwDExcUp7g+r60/uhiPbtLo7= GIxoIlA3H7snGLFCRMPTlawpFkDBiBXEWSv8na+KwPqqGNFM2IVK7ibS4gZkMKIVcZZ1teAKArs= 3GIFy+PBhVFVVRboZmglbH5XSzUTrlyIfMsW80a2pIU0VaG1tBQAkJSWB47iwrZ8aMAMAB+io74= LhC+0+EPdZiZcB5eAKvfVV+UN1dTXMZjPS09O9tn/zzTdYsWIF/vCHP6Bfv34AgMrKSrz99ttYu= 3atar01NTXo7OxERkZGQO2qra2F3W4P+HgllNrW3XbTjq+rq0NeXp7mOjZu3Ii8vDwkJCTIlgnl= 7xORYAo5F5/cm6TRRQputyAaANDW1ua1O9TrvNMBzmQGOLPn4WXQB1i0s2JnixBYQURJKlaA/Eu= fnoVp0f9+4bNt04KfUssOGzYMZWVlPkLldDoxceJEfPrpp7jzzjsBAEeOHMGgQYNkz9vY2IjKyk= rMmDEDI0aM6MYVICTz3YnbJ0d32007fs6cOX7V4XK5VC33UM4HGFahorn0xPvIOi2NTDQQbkuKr= PNdneAsVnAmN2AygYOZiZVOobn6xGKlNi+VES2pQ4cOYcWKFbj88stRWFiIESNGoKmpSZinS8zA= gQNRU1MDl8uFb7/9Ftdccw1qa2sBAC0tLSgpKUF1dTWysrKwePFiFBcX4+DBgzh16hRuuukm2O1= 2HD58GPPnz0d8fDzWr1+PzMxMr/ObTCaUl5ejvr4e//3f/625zYDHqvjwww9x4MABjBo1CkuXLs= WRI0dk6+/bty8OHjyIo0ePYsqUKcjIyEBTUxOKi4uxf/9+PPLII+jbt69gqWipf8CAAbLH036j4= 8ePo6KiAkeOHMH48eOxZMkSAEBzczOKiorQ3NyMHj16CL/xmjVrcOzYMeTm5mL69Ok+vw3tHCaT= CfX19Vi1ahUAYNOmTX79jYQ96k8qPFJXH1HkqLGmAACea25ra/OxrMKx7jpvB+/ogNt5Hm6XC24= 3D0TRC0A0QQIrAk1aK8YoL3mjRo1CRUUFioqKhH6T5ORkr79lMT//+c9x7Ngx7N2718vNtHfvXm= RlZeGNN96AzWbDiRMnsHz5ctx///3Iz88Xni8ZGRmoqqpCXV0drrvuOp/z8zyP9PR0vPLKK361G= fC8ZA8ZMgSbNm1CamoqGhoaFOsn7bv99tuFZ19lZSWmT5+OnTt3Iisry+u5qKV+peNpvxHP8+jT= pw/Wr1+PxsZGdHZ2AgD27duHO+64Ay+++KKXq3XPnj344YcfUFpaSrWgaOcAPMI3bdo0TW5aKWE= RKrkbRpr9XPwGqXScEUlOThaWk5KSwrrOO9rBOzrAd52H29UF8C4Q8YwMbs/HHcZPRK/XP8QZK/= wJVRevG4m6ujrk5+dj4cKFcLlcAJSvYdSoUdi9ezc6OjrQs+fFMWhdXV1efXRms8fV3d7e7jWea= /jw4fjss89w6NAh/OxnP6OePzU1FVar1a82E4gVSCxCpfpJ+5xOp3C80+n0sST9qV/peNpvBABX= X301EhMTkZaWJrSR1COui+d5rFy5Ert378Z7771HPY/cOTIyMpCZmYl169aho6ND9vpohMX1J2d= FkWXaDeh2u3Hzo38OR/PCQkT7qLrOe/qnTGa4zRa43RbAHX7vn337r3Hu3DnhRujdu3fY1q+4+y= VwJhPAcRduIn27x6QuP7W+KiMHUdjtdpw9exbjx48XxKGlpQVJSUle5bgL/3dJSUmw2WwYO3YsA= AgPwnHjxuGPf/wj/vCHP2Dq1KkYNGgQHA4HDh48CJfLhdGjR8NkMiEuLg79+vVDZ2cnEhMTfc4v= fTgTxNtpbSZUVlaitLQUEyZMwJVXXonDhw/L1p+SkoKDBw/izJkzmDBhAgBg7NixWL16NR599FE= 8/PDDSEtL82qPWv1Kx9N+o2PHjgn7OeH+AMaMGYNVq1bB5XLhsssuAwDccMMNWLNmDZ566ikMHz= 4cq1ev9vl9aOcAgLKyMpSVlWHChAmqA3ylcB999JGb/EChQixK0rFRbrcbTqfTx/3ncrmiR6jcP= K74dmvE+qg+O3cpzPE2mK02mOJtMFkTYbLEewIsFMi4aXJQf4bvyvIBABaLxatzNhzrl9z2LEyW= OJgsceA4EziTCRwX8ckDFCma2gtms1l4AIiXTSYTOI4TvqUfAD7fkSCQzBQOhwOlpaXIz88PQYt= CS01NDex2OzIzMw1Zf6RQEq6PP/449K4/sQ+TZjXRLCue56NHpERI+5AsFgtWrlyJjz76CE8++a= Sw//nnn0d5eTm2bduGsrIy/Nd//RcACH7fiooKvPzyy0L5RYsWYdeuXcjOzlbss9ILKSkpXm+I4= Vh32FvQ1dkOl+M8eFcX3AaYdFP6QifXb0U7zsjU1dUJ1pLRkLPGjFK/XgnpFdP85rTIPzk3YDQh= 7UPq378/SkpKMHLkSHAcJ4xPWLJkCcaMGYNjx47h//2//wen04lbb70VycnJyM7Oht1ux//93//= h2muvxYQJEzBhwgTk5ORg37592LJli1C/+Hx6wWKxgOM4nD17Fi6XK6zr59ua4Gg/h67ONrgcne= BdTsCt7yz8Wvuqok24Ro4cieuuuy7SzQiI9PT0kIwjClf9eiVswRS0m0u6j3yi0ZqSWjqXXnope= vbsif379wO46CJJTEwE4HHXOBwOWK1WnD9/Hq2trbBYLMLxgOftKj8/Hw0NDXjqqae86meWlPe6= o/2cx6rqaIPzvB280wGe9+4E1yNaIv7khMhoAsVgyBEyoaJZUORbakmJO4mjea4psaVz5MgRFBY= W4vTp0177//KXv+CLL77A6NGjUVxcDIvFgtdffx2AJ1w0JSUFCxcuxJEjR5CTkwOLxSKMTVCL/o= s0kbCkyHpXpx3OTjtcjk6P+8/ZBXfEox/VUbOqtEQBMhhGJyRCRYvyo01fQPaJgyii0ZoiSC2du= ro6OBwOr/19+vSBzWZDZ2cnfvzxRyQmJiI7OxsA8D//8z+47bbbkJ2dje+//x4DBw7Ehx9+iDVr= 1qCiogK//e1vWR+VzLqr6zxczvNwOR0X+6h4Xu86BUDZqiL7xeVimY0bNwrjgGpqanDgwIEIt4g= RDELeRyUOm5XeSLSpuKMVNUuHRL3MnTsXaWlpeOutt5CXl4cvv/wS6enpmDVrllB24cKFmDRpEt= 59912MGDECra2teP/99zFixAgMHz5cd5YUgWbp/OY3v8Hrr7+OXbt24a233sItt9wi7P/tb3+L7= du3489//jPeeustzJgxAzNmzMDGjRuxc+dOvPzyy0J98+fPx65duzBz5kyqZWVklIIo1Pqm1NyD= RqCxsRFbt27VVFYc7TlixAi/+nP8OQ8jvAR9HJUWl5/c2+D8F77ClX1GAQAaGg8Fu2kRRWkcFXC= xj4oIe1JSEoYMGSKEWpPR3ZmZmZg1axb27duHDRs2IDMzEzzPw263A/DcqLT69UBKSorXOKf777= 8fl112GZ577jnMnTsXw4cPx+zZs7F7924sWbIEl156KZ577jlMmjQJ2dnZuO2223D+/HnY7XZs2= 7YNCxYswMSJE8HzPHJycnDgwAFs27ZN9nxGZcXOFhRN7SUrUuKXQTFGGU8lTcszdOhQr1Q74jRI= 48aNg9PpxKhRo4REqZ2dnT6pfoCLSVLNZrNPCiNayiBynn/9619ob2+XbQ8j/IQ9MwVNrKQZKgD= gyj6jBNGKFsSWTv/+/fHhhx8iJycHADBhwgT87W9/w5YtW/Cvf/0Lt99+O15++WVccskl+Otf/4= qqqiokJSXhwQcfxJkzZ/DrX/8aSUlJOHDgAHr37o2cnBxUVVXh22+/pZ5PD0gtnXXr1uHBBx/Eo= UOHUF9fDwCIj4+HxWJBaWkp7rvvPvz73/9Gr169AACnT58Wsg2Ix+eQgJInn3xSto/K6EjvG5qV= pXSsnpGm5WlqavJKtSNOgyTuxybWEy3VD3DRY0NLYURLGUTOM3ToUMX2MMJPUO9gf6wocd+U+Bg= p0WRhiS2d7777DpMmTaKW++STT2SPnzt3rtf6q6++ildffVXlfJcG1uAQIbV0UlJSMGTIEADAV1= 99JezfsGEDBg8eDMDjlnn//fcxePBgzJkzBwsWLMCRI0cwa9YsWCwWFBUVKdZvD/M1BptHd5zD6= v+8RDWwQsmKUtsfKUhanoyMDKF9p06dwrp167Bs2TKvNEhmsxknT56Ew+EQ/r5pqX7E1NXVYe3a= tThx4gTuuusuAPSUQeQ8cXFxiu0hkbmM8BHR7Oni7fNf+ErxWLF1ZUTREifZDHeGCr1A3Jikz4i= sz5gxA9deey1+/PFHvPzyy8L+X/7ylxg8eDByc3MxceJEFBYWYvbs2XjrrbcAAE888QRuvPFGvP= /++yguLobNZsPx48exbNky3/P1isw1BxOlgArxfqkrUI/iJEaalmfkyJFeqXZImiGXy4XZs2dj8= +bN2L59O/r27QuAnuoHuDg4VilFkjiTBznPsGHDcPjwYdn2MMJPUFMoyVlS4rRJ0gkRXS4XXC6X= qlDRMIxgXUihFCn+yQ/SRQolWq6/m266CQ888AC6urrw2muvoby8nJqrr6KiAmazGdOnT0dbWxv= y8vJwzz334M9//jNGjRqFhIQEVFVVYfr06Vi6dCmOHj3qdbxj8BTEJfZAfNIlsCYmIT6pNywJNs= TF2wwz5cnzt/b0SackTaskl1IpUumUAkmhxIg9wpZCScvgQzkBCxSj9WOFO2u63vuoRowYgXvvv= Rc8z2P9+vV47733vKIBCwoKMHz4cPzqV79CXFwczpw5g7a2NowbNw5z5szBvn378Oqrr/oMhAYQ= dX1UgLYxVWr3k977qxgMGiEbRyX3EYejk7KBWFNiiGDpXbQiNR+V3hKFk3FON954I5KSkpCYmIi= HH34YH3/8MT788ENcd911eOutt5CamoqioiL84he/wFdffYXXXnsNAPDAAw8IASUAcPDgQaSmpi= InJwefffYZTp486TOOKlrQ2v8rdxyDYUSC5vqj3UA0l5/U7cfzfLeFioau3IJuHryryzMnlKMDL= of94vxQIU7jw3EmcJY4mKyJMFsTYbLaYLYmgouA6+/M20vDnjWdrEeD64+w+j8vMYz7j7n+GFpQ= c/0FxSdCc/tJ3+CUxk+FAn1FC3LgODM4cxw4Cw+T+0JGBI4LvVCBA0wWcCYLwJEp6CPzYKZF44V= zPVqQs6K0Rv8xGEaj20IlJ0hK5cU32II//Ku7TVBEF9GCHDwT9pksMFl4IWs3ZzKFXKg8EwWawZ= kt4ExmzxxMEXqISaP9wrl+MVGV8ZETKPF+mliRbUzIAufw4cPgOA7XX399pJsSU4R8wK9aX1U4i= Vw/Fndhsj4zOIv1ghvOBnN8EswJIf7EJ12M9IuLB2eO8whVBB9Ukcj1F01IgyoIaut6pba2lpqT= r7q6GrW1tcJ6Q0MDsrOzkZ2djcLCwoDr1QotV2BdXZ2mKUjCkWewu9dnJEIWDkV725OOpo8UEXE= Lch4LCm4OHDi4TaYLSVHDIdbcBcvKBJhMHgsrDGeVEglLiqxzlxCXp/6nodeCUsQfzcsRaQuq9b= kxPtuSn/RMcSP30jps2DCUlZUhPT0dgCcTRUFBAaZOnarpnN19GR4xYoTPtjlz5gR8rJjGxkZUV= lZixowZAbUN6P71GYluCZVcn5Sca4J06JL9oXb7qRFet+AFsYAbMHOA2wzO5EZ40ndzoi8uYhbV= ZbNfhNPRAUfbOXR1tuN8ezPcnW3o6rQDcEPa7R7MdZM57oLrk1y//gfCakUqUuJ7TDz4V3y9ehA= vMR988AFeeukljBkzBg899BDMZjOsViuamprA87xgIRcXF6O4uBhLly7FyZMnMX/+fMTHx2P9+v= XIzMz0yuknprq62idH4LFjx7zKDxgwAMXFxdi/fz8eeeQR9O3bF3a7HRkZGWhpaUFJSQmqq6uRl= ZWFxYsX4/jx49ScgcDFPIMZGRmora31KSfOXzh37lyfXIerV6/G119/jb59+2LFihUoLy9HdXU1= GhsbqdcX7QQ9hZKWcVRkXU+Ezcq6EMygo2dE2OA4E8zmOFjiEwG4wbu6Lry8mOEOsWBzJjPMFit= MlrgL0Y7G/g94ZHszXritN9V6UkJvAkUYPXo0HnnkEbz55ptoaGgQUmeRjC49e/YEAC+L6vDhw6= iqqkLPnj1x3XXXCTn9Tp8+jd27d3v1I5HuBuBijkBp+W+++QbTp0/HM888A47jUFNTIxyzd+9eZ= GVl4eGHH8Y777yDEydOeOUMLC4uRmdnpzBTt9jaoZVbvnw5PvnkE9x5553YsWMH9uzZAwAoLS3F= Y489hra2NvTv3x8rVqzA+fPnkZ6ejoKCAlitVur1RTthdf2R7XpGX9GCUQbHeQQjzgrADZ53wWS= 2wGSOQ6gtS09AiRnmuASYLXGeN/QLlpVRoUXQiud9M1LghNjyE/cvKj0vhg8fjpdffhm9evVCTk= 4ONacfgZYjUFqe5Ayk0dXV5dVGs9kztIOWM5CGtJw4f6E01+HWrVtRUlKC3r17A/D0d6WmpuLEi= ROy1xfthCV7OuArXKEYOxVMjDKI2EhwF/rpTBYrzNZEWBOTYe3RE/HJlyA+uXdoP0m9EN+jJ6yJ= SZ7xZJY4T5+dgZVKy0Bfsk/PmEwmVFVVIS8vDx0dHbjyyiuFfS0tLUhKSgLgEZvi4mJkZ2fjwQc= fRFxcHPr16weO45CYmKiY02/QoEH45JNPUFBQIAyKl5YfO3asMCfarl27vI4fN24ctm3bhnnz5o= HneQwaNEg2ZyC5JrKPVo7kFSwrK8MNN9yAHTt24NZbb0VhYSF69eqF3NxczJ07F+Xl5ZpyFkY7A= Q/4lQtLFwdMiAf4kg9Z17tQ0Yg1KyvYA36BC383bh5uNw/e5YTb5QTvCtOU8JzpQvQlB5PJAs5s= vmDNGZOiqb28BvuazWZhGhTp4F/aAzUcllZ3Bvw6HA6UlpYiPz8/iC3SP2VlZZgyZQosFgteeuk= lPP3005FuUsgJ64Bf6TaxcCmVNQrMLdh9PMEMJsBtgpkzw22OgzkskY/AxaAS7mJQhcGhDfugvW= UbxQUopq6uDmPHjo10M8LOgAEDsGzZMsTHx+O+++6LdHN0QVAH/MqFywL6CU3XivXz34HneXR0d= AAAevToIaxfIVmX7te6/kXvWy5G4sUUF4JJOA5c+LzPUQcJqAB8rSOlLBVG6b8aOXJkpJsQEW6+= +WbcfPPNkW6Grgh5WmlxtI2RILN+hnKdd3WBM5ku9pXo+KHB0CdyL4bSMnoWJAZDjZDP8CvdbxS= LikTwBMNyklt3d3UC5jjAbPH0nyBy6Y0YxkXOq0ErwwSLYUSCJlRiq4kWjSS+cRa++HWwThtyQm= lZuRx2zwSGbqsntZEJTKwYfiENSaeJlnSgb6xEijGih6AHU0hvHPF2o1hTQGgtKbLuOm+Hm+dhc= rthAkQd/EyoGN1D6T4TZ4lhMIxAt1+ttKRRou3XO52dnXA4HCFd57s6wDvPw+10wO3qgpt3Geo3= YkSeR7Y3K+b2U3MFMhhGIGiuP7n8ftJtRiEsfVRuB9wmi+fDx8Ht5pktxQgIWsSt1M0nF/3HYOi= doCXtfDHKAAAgAElEQVSlFQ8iVIryM1oEIOlTuvbaa7Fu3TqvG7+yshK/+c1vMH36dCxYsMATcv= 7FF3jooYcAAIsWLcLdd9+N1157De+++65XfQBwafIgnO0848lz53ZfGPNqHDFn6AM1rwYAajg6E= ymGUQjZDL/ifeLti4obgnHKkCO1hFJTU2EymfDee+/hxRdfFPa7XC5kZWWhs7MT5eXlmDNnDm68= 8UbEx8cjJycHe/fuxbvvvku1rM4CuKzXTxGXkILv243xuzD0hzS/H3AxaMIoY6YYDCUCFiq5UHS= a648WXKF3pNF64v4l6X6LxQK32y1sM5lMWLx4MRoaGvDcc89R6+vs7AQSL66n9U6HJSEZ5rhEfH= u2JpiXwohylMZPyQ36JfuZeDGMQFDjVOUsKqO5+wAIuQl79OghJLwEgGnTpuGDDz7A22+/jbvuu= gs9evTAp59+iqSkJMyfPx9Hjx5FTk4OTCYTVq1aJRwvrU8p0zJLhsvwh0e2N3uti18QxdF94pdJ= JlAMI9FtoRJP0gbQB/mSbyNZVAQSrXf06FEsX74cixcvxttvv43evXsjJycHnZ2d2Lx5M6ZNm4b= s7GycOXMGAwcOxMcff4w1a9Zg69ateP75533q0wITLIZW5CL7aMNEGAyjEZDrj7yREUuJLCu5IE= i5iunjAQDZ7+0N5NRhg9an9M9//hMdHR346quvcNttt3nGQomiA2fNmoUJEybgnXfewZgxY9DS0= oKdO3ciJycHGRkZOHr0qE8flRbCOxMxw0is+WYuAMCB7QCYEDGik6CmUBJbV2pjN4hgKRFJMZPL= KNGrVy/Mnj0bycnJ+Pbbb4X9I0eORE5ODvbv348NGzbghhtugNvthtPpBOCZ+0Y6jkrcR6UVlsE= 9diAipAW14SCsn4phZIKSPZ32CQaRFDPpOKply5bhF7/4BQDg/PnzOHHiBEpLS4X9999/P06fPo= 1Vq1YhMTERf//73zFr1izcddddOHz4MGpra73qI5ZVoDDBMjb+iJA/yN170rB0JlAMI+H3xIly0= X3SCRPFkySKl9O+7B+iS5EnEDHrOvQEAAhTThPhCub62aRJsCQkIy4hBXHxyULUX6CT+QVbtEIx= cWIsECoRUuL8A+XgOE6YPJF8pJMnhnsCxe5MnKh3Dh8+DI7jcP3110e6KYYnLBMnAt4h6DT3XyS= DKQKxzMKR609rH5VWYtHKav3rY+jq6hKiMnv27Bn09aT/XAlwHNZ8O1/3mUOIAGlNUku2h9q6+v= Of/+yzbfbs2dSy1dXVMJvNSE9PF7Z98803WLx4MRITE3H33XcjLy8vZG2lUVNTg87OTmRkZAjb6= urqwt4OGrW1tbDb7V5tCxUbN25EXl4eEhISQn4uMUEb8Ct3UxgFqZhlHZnktR6SLOoB9FFpIZYE= 69y5cwAuviiFYn3Nibmwmjm4TBxMnGfSR70JljhdknhZ7OYziqtv2LBhKCsr8xIqp9OJgoICTJ4= 8GWvXrsXp06fRr1+/sLVpxIgRPtvmzJkTtvMrwfN82IYAuVyRyUfql1DJhb8SpJGA0uP6nxgQcE= PDTThy/YWaWIoWTElJ8bKEgrne6uCRaDEh3gJYTIDFxOl2JhbaAHw5kdJLP1VTUxOKi4uxf/9+P= PLII8jKykJTUxN4nveZkoR0MVitVtTW1qK8vBz19fUoLi7GmjVrcOzYMeTm5mLw4MH48MMPceDA= AYwaNQpLly7FkSNHsGLFClx++eUoLCyEyWQSjs/Pz/faN2DAAK829e3bV7BaWlpaUFJSgurqamR= lZWHx4sU4fvw4KioqcOTIEYwfPx5LlizxandtbW232iMWypaWFq9rHThwoM9vWltbi4qKChw8eB= ATJ05EY2MjTpw4gaeeego/+clPUF1dDafTiVGjRglW0pdffkm9hubmZhQVFaG5uRk9evQQ2iD9D= UI5fUy3aqb9kdPSuQDGDZsNdRb1cBGtY7LI39i5c+dgt9tDst5kd6LlvAvtDh4Olxsu3g29/jnT= +p2kYx31RmVlJaZPn46dO3ciKysLAJCcnIzW1lavcsXFxbjnnnswdOhQpKamgud5pKen45VXXkF= lZSX27NmDH374AaWlpXA6nRgyZAg2bdqE1NRUNDQ0YNSoUaioqEBRURGqqqq8jpfuk7ZJbLXs3b= sXWVlZeOONN2Cz2XDixAnwPI8+ffpg/fr1aGxs9PGg8DzfrfZIfy/xtdKsKZ7ncdlll6G0tBQnT= pxAXl4eli9fjpoaT9YbcSIGYiXJXcO+fftwxx134MUXXxSsWNpvEEpCMsOvHt7Suks4+qj+a/RT= 6JUEXJJ84ZMEJNkAqyV00YxGcgtqCUpYlDIgZJYUWW/qOAmX+4IFAsDMmWAyAWadOQBp+f7It57= vSafT6fM2ThPWgoICTJ061WtbamoqrFYreJ7HypUrkZGRAY7jUFNTI9RJLLO6ujqsXbsWJ06cwF= 133eV1vHQfrU2Erq4ur9+YBEhdffXVSExMRFpaGjXzTHfaI4Z2rTSuuuoq2Gw2XHHFFRg4cCBOn= jwpCIrZbMbJkyfhcDjQ1tYmHEO7BvJbiH8Pud8gVHRbqKR5/OSW9Xyj0Phr4XY4uoC2DqClHWhu= B5rbgDY7cD4IgUwmExAf5xElixkwSeZL1BIAAgQuaJF2CwYrMi4cfVRtiS5YTECcCYgzc4jnOcS= 59ddRJQ2kMMpMvmPHjsXq1avx6KOP4uGHH8aUKVPQ0tKCpKQkoQzNfSl+eN5www1Ys2YNnnrqKQ= wfPhzz5s1DZWUlSktLMWHCBFx55ZU4fPgwzp49i/Hjx8NqtXodb7fbvfZJ25SWliaUHTduHP74x= z/iD3/4A6ZOnYpBgwbh2LFj1IhKMd1pjxjptS5YsMDn/1pcl/ibLA8aNAibN2/G9u3b0bdvX5/9= 4msYM2YMVq1aBZfLhcsuu0z2NwglfoWn04IlyEdsPpKPNDT9ii/SQnQZwcftBpwuoNMBtHcCrXa= gxe5ZdgRDqDiPQCXEAz0SgGQbkGLzLMcF1c7VLmZSwQo0PD2c4dkz/54CIDTRfmR9/qUN6JVgQa= 9EMy5JsKBnghk9rCbEmfWjVOcfKBceNBaLRVgWf0iIOi00PVQvkoGEpzscDpSWliI/Pz/g89bU1= MButyMzMzPgOoKJ3tqjN0ISnk4zy+X84NLEmIaB81g9cRbAFu+ZId5iBhKtQJczCNVzgPlC/dY4= j3VlNiEknfRaw/O1uAUjMUZICakl9B//8R9Yu3atz7xhTzzxBG6//XYsWrRImDcsPz8fHMdh4cK= FuPvuu7F+/Xps3brVx7IyEmrt1bsbEPCEfY8dO7ZbdUhdVZFGb+0xGkFPoUQweiJMDhetHo6Ilh= lIjAdcQYoEJWJFBMtijpw3iSZmb57cDAD4xecvhLs5mpH2KfXp08dr3jBiGQFAdnY2Ojs7sX37d= uTl5WHChAmw2WzCvGFbtmzxsaxSUlIidm3+QOubMiojR47sdh3i0HY9oLf2GI2AhIrWL0UrI839= ZzSIkJhE1k+CC+CDdCnchXMQITRxAKejl668tDl48+Rm7Bz6sM8+vYiXtE+pvb1dWJfut1gs4Hl= eKGMymbBw4UI0NDRg5cqV1PrOnTsHXBrWSwoIrVaS3q0pBoNGwK4/6fgppRxjhnT9XYAICQePWL= mD3H8EeFtRRvmZaOIFRE7AiGVFQmpvu+02TJ06FWfPnsWWLVtQXl6Of/zjH5g1axYWLlyI2tpar= 3nD1KL/ogGW449hVIIWTEEG4onz/Elz/vWrvyJEl8EIJcQFGCihFK87P+np89I0cuRINDU1ITs7= G7m5uWhtbcWMGTOE/W63G48//jhuuukmlJeXY/LkybDZbDh+/DiWL1/uU9+81K8NEUxBcvuJc/w= ZMZhCiXCmC2KEj7Dl+iMY0cXHCC2hdB3SLKH6+nrY7XaUlpZi2rRpwmh6sn/GjBmYOHEi3nnnHW= RmZnrNG5aZmYnq6mrD9VFpIRosqXCmC2Loh6ALldTNFw03R6xD+qqCSbBch3LjoC655BLMmjULS= UlJ+O6774T9w4YNw+zZs3HgwAFs2LABmZmZwvAKUh/JSGGkPiox4rRJSq53vdybSqmQ0tLSvFIJ= MWKTEPS4MBiBE6j1RSyrpUuXes0b9tVXX6G0tFTYn5+fjzNnzqCoqAg2mw2ffPIJZs2ahZycHFR= VVeH48eNe9Rmlj0rswpMGO+kdkjqooKAAH3zwAfbs2QMAKC0txdatW1FRUYHTp09j9+7dbEqNGC= UkfVRy/VSX/zN82Y4ZwSfYVlV3+cXnL1D7qIK9boQ+Kkf+dp/+KWlflZKVFck+KvFg2PLyclx66= aVCeiBpKqGf//znbOBsFKLWRxWyYGjaH/7Jq78L1ekYMcjOoQ8jJSUFNptN2BaKdSPiT0LoSLsA= pamQduzYgVtvvRWFhYU+qYTYwNnYxC/Xn1oYujT0NdI3ACO4hKKvqruEI9efEfqolPqjyLUQq0p= viAfD9u7dG08//bTX/rfffjvMLWLojZC/mtBCYRnGJS9NH5PFSQm1ZWUEaC+S4nvPqAmiGYygp1= CSG1DIbg5GKAipJQXj/d3SgiporjL28sgwEiGL+mM3QPSiJxfg4sWL4XA4YLfbYbfb0d7ejvb2d= nR2dlLnBPIXk8kE8/cNnvRWwIW8V92uNuhIXe60Ab3snmQYlZCGp4dr9DsjduE4DmazGVarVZhW= hlgRTmf309xzHIfjg2cjISEBiYmJsNlsSExMREJCAv7zi+IgXEH3ceRvhwm+ARTSLBQAuwcZxiT= k46jYjRGd6MmqInMwxcfHC65ns9kcFIuKpB2Ki4sT5nkif9N6StYrtZykoiXOrM7uSYbRCFioaH= /s0hHx4rLM9cAIBeTvymKxCOtiCytY9ZvNZlgsFsTFxcFsNsv+LUdCvOQsJrlxU3r2cGzcuBF5e= XlISEhAdXU1zGazEBXY0NCAe++9F71798bPf/5zzJ8/X5idNhSI8woGkmNQfC1azuFvmZqaGnR2= dsJmswn7yTZpWS1t0VImUoTF9Sfm5NXfIe3L/qE8LSNM6MWqEls9ZKCr1WoNamYGaYJXfwhHpnm= pEImzU4iDnCIlTnGfWn22dY11+GwjrlsAGDZsGMrKygShcrlcKCgowOTJk3H06FG89tprePLJJ0= PWZnFewUByDIqvRcs5/C0zYsQIAB7BIvvJtkDaoqVMpAhJ1B9ZVvpmMIKF+MFMrJ9QJC5Vy53nL= 8G2vpQ8GXq+75qbm1FUVITm5mavBMJWqxVNTU3ged7r5cBqtWLUqFH46KOP8P333+O1114TcgMO= HToUq1atAgBs2rQJhw4d8soVaDKZhLyCBQUFXjkGS0pKUF1djaysLCxevJja1paWFp9y4rbJXUt= LS4tXDsPp06cL+/bs2YNXXnkF48ePx5IlS3zaDAAffPABXnrpJYwZMwYPPfQQzGazYGmJLSCx9U= Vri7Tun/zkJz5lpG2V/qaRICTjqJhIxQ56GldFLCuz2Yy4uLigfywWi5CWKFR/yzuHPuzzCQS5g= b96ZN++fbjjjjvw4osvol8/7zRrycnJaG1tlT12//792LNnD3744QeUlpaiqakJ06ZNw9q1awEA= o0aNQkVFBYqKilBVVSXkFXzllVe8lvfu3YusrCy88cYbsNlsOHHiBPV8auXkrqWystKrneIXqbS= 0NKxfvx6NjY3o7Oz0aTMAjB49Gq+//jouueQSNDQ0AKBbWuJttLZI66aVkbZV+ptGAr8tKqXsFL= T9TKyiH724AKMVNdehXGi6Enq6D51Op6xLlfas6erqwueffw6HwwGTyYSVK1cKuQEB4NSpU1i3b= h2WLVuGr7/+2itXIACkpqbCarV6LXd1dXkFnJjNZmpb1crJXQvP8z7tJFx99dVITExEWloaXC6X= T35DAF7n1Op6prVFWjetDK2t4t80MTFR0/mDSViSZjGRYjCCD7G4lELQaZkp9MaYMWOwefNmFBY= WoqOjw2tfS0sLkpKSAABmsxnFxcWYN28edu3ahXvvvdcnN2BZWRnuueceAJ5Ep0q5AsXL48aNw7= Zt2zBv3jzwPI9BgwZRy9LKabkWaTsJ4nOQ/0dam6uqqpCXl4eOjg5ceeWVXsfKXROtLdK6aWXUf= tNI4Ff2dAL5gxdPJSCXRV06yy/Loh69dNeqevvtt9HS0gLAc9MmJyeHbX3JkiXCdiMxadIkmM1m= r9l9ST+ddFZfAF4PxXDQnRl+HQ4HSktLkZ+fH8QWMfRIyLOna/GDM4uKoQXpAN1wrjscDuFFSq+= Wh1aiZYBvXV0dxo4dG+lmMHRASKf5kHNBnPrpyVCdlhFBuhtYQWbWTUlJgdvtDut6R0cHzp8/D6= fTKQiWERBbS0qDfsX7jcLIkSNx3XXXRboZDB3QrfB0Ob+3NExdbsAhg0EjEpZVe3s74uPjwfO8E= OGn97BugD6oV+6eZDCMSkAWVaB/9Ea48RndI1Cryu12R8SSIuutra1oa2sTLCsjWFWTJk0C4DvY= VxzBxe45RjQQFNefnNWktJ25/6KXQMUqkn1UdrtdECmHwwGn06n7viqlsHQjCVRNTQ0OHDigm7p= D2R5GYIQkhRLN9SdeNtJNxAgfxNIh0XjhXD9//jzMZjMcDoeQ2ULvFhUgL0hat+kBubQ/gdLY2I= jKykrMmDHDr7rFxzH0RdCj/sTbaW94TKRig+4EVogtnV69euG3v/0tPvroIyGvm3j/3XffjXfff= RcfffQRCgoKcPvtt+ONN95ARUUFXn75ZaH8okWLsGvXLtxxxx1Uy4pMEUKi/sRDL/SKXL+v2pgp= vd1/tbW1ggVTW1uL4uJiLFiwABs2bAAArF+/Hna7HS6XCyUlJWhpacHKlSuRm5uL9957D/X19Vi= 0aBEWLVoEAEI6pJdfftmr7vr6eixZsgTZ2dmYO3cuDh06hOzsbMybNw81NTXCcc8995xwjPTc0m= Ok52aEhqBZVNI/flowhbis3m4WRuRJSUnxsnT69++P3//+90hLSwMAJCQkePUxJScnY+bMmfj++= ++RlpaGpKQkTJ48Ge3t7di6dSsWLFiAm2++GQCQk5OD/fv34y9/+QsA+FhWRmPSpEnUaL9wj5MK= BtLkr3369MH69etRXFwsZAKvqqpCz549cd111wkpfgCgtLQUTzzxBKZNm4ZbbrkFALB8+XJ88sk= nuPPOO70Stp49exZtbW3o378/VqxYgSFDhqCiogKnT5/G7t27heN++tOfCn8T0nOTFETkmGHDhn= mdmxEaAraotNwItPBY8U11+ppTgZ6eYQD8taqkls4VV1yBnj17Yv/+/QB80+ksX74cNptNePvle= V6Y7oMMNDWZTMjPz0dDQwN+//vfK57PSIgH8Cp5KowkWARpSqHhw4fjs88+w6FDh/Czn/1MSPGz= e/duvPfeexgzZgwyMzOxbt06dHR0gOM4tLe3+ww2PnPmDEpKSrBp0yYMGTIEdXV1yM/Px8KFC+F= yuYTjxH8X0nNLj8nIyPA6NyM0hHQcFflm4ekMLUij8fbv348HH3wQp0+fBuARFrL/uuuuw9ixY/= Hpp58Kf09OpxN///vfkZKSggULFuDIkSOYNWsWLBYLVq1apRj9ZzSk0X3SfbRvvSKXAog8M+Li4= tCvXz9wHIfExETVFD8pKSk4ePAgysrKvOrr1asXcnNzMXfuXJSXl/ukEyLH/e1vfxOOkZ5beowe= 0gvFAgGlUCKI33Clfn1pGiXph6VTih20pFZyu93YsGGD1wMB8DysHnroIcycORMff/wxnnnmGSQ= mJuL555/HgAEDsGjRIsybNw8zZ87Ejh07UFRUJBz/+OOP46abbsLOnTsxceJE2Gw2HD9+HI899p= hX/YmJiRg4cCBsNhuSk5OF7/j4eMTHx4f0twkEkjaJpEyS5nwjIib3ghhO4epOCqVgU1ZWhilTp= sBiseCll17C008/HekmMS6glkIp6PNRAfT+Kbkw9dPXnEK/+iuC2QyGQZH2UZE+JOKKiYuLEyyh= Pn36oFevXtiyZYtw/K233opz585h/fr1mDNnDiZNmoQ//elPGD16NM6dO4cPP/wQM2bMwFVXXYX= a2lrD9lGpeSiixQUYbAYMGIBly5YhPj4e9913X6Sbw/CDkM7wS5ATrFgLqnAL/4QZDojkr6x1Gh= C1cU9iCz43N1ewnPLz85GTk4OKigqsX78emZmZyMvLw8GDB7FhwwZkZmYCuPh2T6aoN2oflfRlT= 7osXtciYrHCzTffLATXMIxF0FIoyYXE0rbHmkhNe+E2dHV1obOzE4BnMrhwrv/tN3vAcYCJAyL1= k2sRK6kl1bt3b7z//vtCf8H48ePxt7/9DTNnzvSyvMjfGFkn/VqPPfYYOI7DgQMHMG3aNNxxxx3= 47LPP8N133/lEDxoFaTYKOU8FgxFNBN2iknM7KN1Y0Q6ZodRsNsPtdod9vb0TsMYBFhNgNnnESs= 8/O7F0vvvuO2RlZfn0WUknbtu0aRNKSkqE/b/85S+93HlvvPEGXn31VdnjjWRZifufaPti4X5ix= B5hmTgRUE6zdGbI6XA1I6LYbDZhZtFwrre0A/ZO4HwX0OUC+AiNY1ULV49krj+jIBdNS3P90Y5h= MIxIty0qOZefeJ/URRhr/VSRsqTI+o8tQJcT6JEI2OIRcTegHJHM9WcEyCBfNYFiwsQINYcPHwb= Hcbj++uvDcr6QWFQ0q0mps5dE/0UrkbKkCE2tQIsdaOvwWFVOFxCp7EBKVlUk56MyAkovd3p/4Z= u64oDPR47q6mrU1tb6bG9oaEB2djays7OxZs2aUDbXbzZu3Cj0CcshTufUHZTqCdY5xNCS9NbV1= YV1rrCgh6crWVexGv0X6T6qtg7AagEsZiDBCsTHAW4dj01klhUdOde5FqvKSPfXsGHDUFZWhvT0= dK/tLpcLBQUFmDp1akjPH0hyWpfLpZobMliJjpXqCUUyZVpi3zlzujdJqr+EtI9KiyUlvpGi2ao= CImdZdTo8lpTD6bGmXHzkLCpA3qqKZB+VeIAsQU8P96ysLE0ve3pqs1akSWatViuampqoD9zi4m= JkZ2fjT3/6E1paWrBq1Srcfffd2LBhA3ieF5La5uXlYcOGDfjd736HxYsX45tvvqGei5YEV5zUl= nYOQnNzMx5//HHk5+ejvr5e9npoSJPbEpqamvCb3/wGU6ZMwQcffKB4frl6PvjgA+Tm5uKPf/wj= XC6X7O/0/PPPY/HixT51SNsgttKUfnPxbxhsgmJR0Swp6Ta5N0GybjKZdJ+tOlBols6zzz6L66+= /HvHx8fjxxx+xefNmbNu2Dddeey3WrVvnlR7n008/xa9//WtMmjQJixYtQo8ePfDFF18gPz8fAH= DPPffgrrvuwvr167Flyxaf8xkBjuMwa9YsOBwOtLe3o6OjA+3t7ejs7MT58+dDfn6LxeKV5UFv+= CNORrOipElmb7vtNiQnJ6O1tRU9e/b0Kiu2qLZv346srCw8/PDDeOedd3DixAnwPI/LLrsMpaWl= ePbZZ3H//fejtbUVNTU1+MlPfuJzrmeffdYnCa44qS3tHD/96U8BAPv27cMdd9yB4cOHC5n65a5= H+jclTW5LrJbKykpMnz4dzzzzDDiOo55fqZ7rr78eo0ePxiOPPII333wTDQ0N+Pzzz6m/U3p6Og= oKCmC1Wr3q+Oabb7zaIE7su3fvXmpd0t8wISEhKH8bhJCEp4sDJwjSoApxeXHQRTRmqrDZbF7jm= u6//3707t0bzzzzDCZPnozs7GxMnToV27ZtQ48ePWAymVBeXo7Vq1cD8IyLslqtyM7Oht1ux44d= O5CbmwuS+mr27Nn49NNPhSwN0vPpEdq4KpISyGq1Cim4yLZQQl6UyBT0cuHfkUIpiELu5U+Mnq6= FBkkym5GRIbRVy0trV1eXV3nyd3LVVVfBZrPhiiuuwMCBA3Hy5EnhAS89V01NjU8SXI67mNRW7h= yAx2VMe7GhXY+Uuro6rF27FidOnMBdd93lU6faNSrVIy5vMplk60hNTYXVavWpQ9oGLb+59DcMN= hELT48m14Uara2t6OzsFN7YS0pK8MADD+Ds2bPCG+P3338Ps9ksXL/L5RLKk+NJZvC2tjYAHiuA= ZAZ/5plnfMqTdb0idQFyHCcIVUJCAmw2G3r06IHk5OSQfpKSkpCUlASbzYb4+HjExcXpSqzk8vc= ZzXKSQ5pkFvC4mJKSkrzKkd+AMG7cOGzbtg3z5s0Dz/MYNGiQT4Jb8k2WpeeiJcEVJ7WlnYMwZs= wYbN68GYWFhV6Z02nXI22HNLktYezYsXjrrbdwyy23YNeuXarXKK3HZDKhqqoKeXl56OjowJVXX= ul3HdI2iMuq1RWqZ3i3ktJKkSaplX6TSemUktXyPI++n18elPbohQlPedK2iDNGbNy4EYMHDwbg= 6bx94YUXcPz4cQwZMgQvvPCC8Ds1NTXhL3/5C958800sXLgQd955JxISEnDs2DEkJCSgT58++NW= vfoWGhgbZDBWLb9iF1BSgVzKQmgL07AEkJXqCKyKN1KoSJy3u6uqC0+kMS7ADeQgSCy4uLg5ms1= l4OYgUSgloxW2WE69Ii1ggSWkdDgdKS0sF1zYj+lFLShtyoSLL5KNVrKIpq3rWs5OEawYu9lldd= dVVyMvLw8SJE/HDDz9g1qxZAICf/exnaGpqQlZWFnJzc9Ha2oqZM2d6Hf/oo4/ipptuwvvvv49b= brkFiYmJOH78OJYtWybUT8r/18Q9uhUqwFuspH8r4ZwSXvywFwtCJMnKyvISKLIsJ1LRIFTV1dV= wu91hDX9mRJawZ09X8y2L+6Nixf0n7TMi61988QWeeeYZ3HjjjejduzcSExPR0dGBL774Al1dXU= JHbI8ePTzRexeOnz9/PiZOnIh33nkHo0ePRktLCyoqKjBz5kwMHz4cX3/9te77qOQQ94EKsBAAA= BPPSURBVFlGKsBGL39/4r4pOVHSs0gFysiRIyPdBIbOCJlfgxb1J11WuuHODDkdNVaVdFzT8uXL= YbVasWXLFtx8882wWCw4deoUHA6H0MfUq1cvLFiwACkpKfj222+FPqeMjAzceeed2L9/PzZu3Ij= MzEzwPC+IEs/zPufTO7TACqM/bIOBWJwA5WzpDEY0E1IHvNh6kopWrFlVwEVLavPmzXj44Yfx/P= PPg+d5fPXVV3j99ddhs9mwdOlSZGdnAwDOnz+Pr776ShibYLPZkJ+fjzNnzuDXv/41kpOT8Y9//= AMzZsxATk4Ojhw54hW+Ss7HMB5arClAfm6qaLx/GLFLUPuoCHJBFWSZ9FPFSl+VXB9VuNb13kdF= 0DJnVawg7puSC6Iwgtsvml6UNm7ciLy8PNTX16OzsxMZGRmRblLUoNZHFfKeYjW3RSxYVZHO9cc= wFpMmTVIUJLW+qWilsbERW7dujVidJE3SiBEj/BKpULQ71giJ609rUIX4BiPRVVKXYDT0VUU615= 9R0DoTcLTT3XFTRhOslpYWrFmzBseOHUNubi4GDx6MiooKHDlyBOPHj8eSJUsAeFIbHTx4EEePH= oXVakV9fT2Ki4u9jp0+fbpi3UOHDsWqVasAeOYxI3WeOnUK48aNg9PpxKhRowTrqbOzE0VFRWhu= bkaPHj0AeBK/2u12ZGRk4NChQ1ixYgUuv/xyYVyWtO3ic8ydO1exPQw6YYm9VfKn0wRLfINGOjw= 4mDDLSh21OauiHZLTT6slFQ3WFEk59MMPP6C0tBROp1NIydPY2CgECi1fvhz3338/br/9dqSnp+= OVV17xOVY6lEG6v6mpCdOmTcPatWu96szPz/dylxPriaRJevHFF9Gvn+eFWTxkgqQwKioqQlVVl= Vc6IdJ28TnU2sOgE9nRjBegiZc4NPnfQ88YehBwpOej4jgAHGDcR1nsoEWk1I43GlrSGgGea2tv= b4fT6RTS/6ilK6LtP3XqFNatW4dly5YJdXZ1dcFsNuPkyZNwOBxC9he5NEkEWgojpZRMau2Rzj7= N8BDW8HTi1pMrT77FYsXzvOFdgLue+BAd54HmNuBcu2d+qHNtQGuHJ5t5KLGYPR/zhYkSOehvwk= QpseoCzMrKUhQpQH6mbCNzww03YM2aNXjqqacwfPhwLFiwgJqSh6Q2OnPmjJDnUnosyY8pV/fIk= SNRVlaGCRMmIC4uTqjT5XJh9uzZ2Lx5M7Zv346+ffsC8KRJWrVqFVwuFy677DIAyqmQlFIyuVwu= 3H777YrtYdAJSdSfGKUIQNonGlMr8W7A0eWZuLCtwyNYLXagzR56oTKbAGsckJwIJNmAXklAsg3= okaC/qD8xsSZUcqmSlMLTpRaWHgUrmqL+GKEjrJkp1FCzqtTGVhnVquLgEYz4OI9o8TxgMnkmMw= xBomEvTCaPIMXHeT4Wsz6noZcSa1aVXACFFoFiMKKdkAuVWgQgueHEAhZtQRTgLghTnEcgTJxn2= RbvmcQwlJi4i2JltXjOazaz/io9QVx+3QmgYMLFiGbCHkwhtapoc1fJ+eM5jjNkYAUHj2AQa4a4= 42zxHgsr5Oe/IFbmC22wmGAIpYoVq0qLi4/BiGXCIlRKVpX0JpRaVlI3CABDugCJJUUsnDgLwMc= B4RjlRH5hjhN9wnBehjqTJ0/2cfFpifpj1hQjlgibRSUWK7FVRZvxF7goWGIXIIkANKpbkLvwj5= k8V3QczKAXotmqUnL5yQ32BZhIMWKPiD/xtfrkaS5ARmwQjYOApWmSlBLPEtTWjQoZW7R69WpUV= 1ejtrbWa/8333yDRYsWoaWlBQDwv//7v3A4HACAmpoaHDhwIOxt3rhxo+o0OrW1tRFpGxC53yVU= RCTqT7pM1gnSyECp649gxP4qBgMIPMrPqOL0yF+n+WwrmvZXAMC5c+dwxRVXYN68eXC73SgrK0N= 6erpQzul0IiMjAzt27MBdd90lDAAGgBEjRoS+8RRI5golQjHpZ2NjIyorKzFjxgzFcpH6XUKFbj= JTqImWePBvNISsM/wjmlyAkydP1pwJPRZcfsXFxfjHP/6BpKQk5OTkoKmpCTzPe72YXnPNNfjnP= /+JH3/80etYknfPZrNR8wPW19dj9erV+Prrr9G3b18UFhb65PP78ssvfY6V5vAbMWIEmpubffL+= SXMJSnMNAvCpKyEhgZrfr7t5AwcPHozy8nLU19ejoKAAdrsdQ4cORUlJCaqrq5GVlYXFixfDZDK= htrYW5eXlqKurw9VXX6373INhd/0p3XhaP2JXiVH7qxixiViktIgVEL0uP8LSpUuxePFi5OTkAA= CSk5OF9F9ibr/9dpSXl3ttEycEoOUHPHv2LNra2tC/f388+eST1Hx+tGOlOfwAUPP+qeUaBHzzA= TY3N1Pz+3U3b6DT6RRyIJLfZO/evcjKysIbb7wBm80mzFfH8zzS09Nx5513GiL3YMQtKn9dgDTL= irkAY4NosKpoL1xqL2bkuFhBzqWWlpYGp9OJb7/9lrqflh/wzJkzKCkpQe/evQEAR48e9cnnRzu= WlsOPlvdPLdcg4JsPMCMjA/379/fJ79fdvIE1NTVCDkRCV1eXV4Ca2Xwxgis1NRU//vijIXIPRs= QckfsPpb05arWqWHAFQ+9kZ2crBk7EapSf9OHf0tKCpKQkYV3cP33bbbfh888/F34HmndF/Pv16= tULubm5mDt3LsrLyzFo0CB88sknKCgoEKw22rHSHH6AJ+/f5s2bUVhYiI6ODgCeXII7duzArbfe= isLCQup1SesqKyvDPffcA8A7dZA/eQPLysp8zi0uT5bHjRuHbdu2Yd68eeB5HoMGDfLaL61Drm2= RJuS5/pSg5QEky3J5AKXf5EPWmWUV/RjRqhK7/Gi5/LRYU0YUKX9z/TkcDpSWliI/Pz8o5y8rK8= OUKVNgsVjw0ksv4emnnw5KvYzgoqtcf0oouQABbzcgcf/RxlgxGHpD2i+ltS8WMLZIBUJdXR3Gj= h0btPoGDBiAZcuWIT4+Hvfdd1/Q6mWEl4haVIA2qwqAYDXJWVjiz2V1fcN+HYzwYhSrimSeEFtR= WqwpIDpcfix7OkMLahZVxEPmtEQBStfV+qu+H/bvsF8HI7wYYRCwdLZerVYVEB0ixWAEi4gLlRR= /AyrkRIsFVzAiiTg9ktY0STSYSDEYOhEqmjhJv9U+0ocBE6voR69WFU2k1KwpgP53z2AwdCJUQH= DEiuYGZGLFCDdaRUoMEycGQx7dCBWgPr5KTbRofQGszyq60ZtVJR0rFeigXiZYDMZFdCVUUmg3r= lofFhMrRqRQEil/ks0ykWIwvNGdUMm5RMiyVveftN+KiVX0ogeriiZSWv5WASZSDIYauhnwK4bj= fAf/0qasV0I6KJgsfz/s32ycFSNoyAVOSF+YmEgxGIGjO4uKoGRZkXVmWTEIkbCquitSYphIMRj= y6FaolPAnEpCJVewQTrEKhkixSD8GQxu6Fiq1/iry7a9YsQALRncIVKTEMJFiMLSja6ECQiNWYt= H6fti/2VirKCLUVtXkyZOpefvUIvwANqCXwQgU3QsVoE2syLKaWEk/5KHDxIqhhtxUHTT3MhMpB= iN4GEKoAG1h6+JlrYIlXmdiFR2EwqqSGyPlT2QfEykGIzB0GZ4uB8cFHrbOcRx4nvfaRkLXxXWw= 8HWGGGl/FC0wR+6FCGAiFQjV1dUwm81IT0/32n7vvfeioaFBWC8pKcE111wjW8/GjRuRl5eHhIQ= ETeetra2F3W5HRkZGYA3vBjU1Nejs7IzIuY2AoYQKUBcr8QSLUkwmk898VmQb4D3Wyu12s9mCDU= xe2pxuz1mVlZUFs9msGD3KREob/7H4FZ9tx/77AWrZYcOGoayszEeoSktLcfLkSXz66aeYPXu26= jldLpfXs0INMp9dsGlsbERlZSVmzJghW2bEiBFBP280YTihAgITK9o2sXCRY8lMwTzP499DzzCx= ilFos/LKCRSxzGkRfkyk1Kmvr8fq1avx9ddfo2/fvigrK0NTU5PPLN5SWlpaUFJSgurqamRlZWH= x4sVoaWlBUVERmpub0aNHDwDAoUOHsGLFClx++eUoLCxEQkICVq1aBQDYtGkTtW6tx0jLmUwmVF= RU4MiRIxg/fjyWLFmC4uJiHDx4EKdOncLcuXOxZs0aHDt2DLm5uRg8eDDKy8tx9OhRLF26FBkZG= dTrOn78OMrLy1FfX4/i4mKvOoYOHap6PUbHMH1UUoIVDajUb2U2m1kIu4EJpK8qKyvLR6SUUiMp= haEzkdLG2bNn0dbWhv79++PJJ58EACQnJ6O1tVXxuL179yIrKwtvvPEGbDYbTpw4gX379uGOO+7= Aiy++iH79+gEARo0ahYqKChQVFaGqqgrNzc2YNm0a1q5dK1u31mOk5XieR58+fbB+/Xo0Njais7= MTy5cvx/3334/8/HxUVlZiz549+OGHH1BaWgqn04n09HQUFBQI1hztunieR3p6Ol555RWfOpqam= lSvx+gYVqgA/8RKzk0jffjQHkyN137PAi0Mij9iRULPyUcuaEK6DaAH9JBlhjJnzpxBSUkJNm3a= hCFDhgCAJpddV1eX8Pu63W6YzWY4nU7h/4ZQV1eH/Px8LFy4EC6XCxkZGcjMzMS6devQ0dFBrVv= rMdJyAHD11VcjMTERaWlpcLlc4DgO7e3t6OrqAs/zWLlyJXbv3o333nsPJpMJqampXlOx064LAF= JTU2G1Wn3qGDNmjOr1GB1DCxWgPYmtdF3JoqI9pJh1Fb0oWVG0MHQt/VLSZYY8vXr1Qm5uLubOn= Yvy8nIAHrdeUlKST1mxCI0bNw7btm3DvHnzwPM8Bg0ahDFjxmDz5s0oLCwUHtp2ux1nz57F+PHj= YbVaUVZWhnvuuQcAvARCXLfWY6TlxHWQv4uUlBQcPHgQZWVluOGGG7Bjxw7ceuutgqtQ/JG7LvF= +aR1ybYsmuI8++sg9YcKESLej29DewMTbyLI4mELcP0XbTgIupMs8z7O+K4MhF1gxefJkqnWtJW= BCKViCiZSHrq4u1TJlZWWYMmUKLBYLXnrpJTz++OMoLS1Ffn5+GFrI0ANKAvvxxx8bM5iChjTAQ= rpNLSJQegzxF0sDLkgdLDLQ2GRlZQliQ4vsU+p/UuqPki4z1BkwYACWLVuG+Ph43Hfffairq8PY= sWMj3SyGjogai4rgr2UlXvbHuhKvs3FXxuDNk5sxadIk2T5Jtf5MWh8UWactM7RZVAxGzFhUhGB= ZVuKyciLGcZ4w9sZrv2eCZQDI4F05q0m8DYBisIT4m8BEisEIDVEnVEDgYkU7Tox0wLBYrNxuNx= qv/Z71X+mMM0NOA/D835kVxkEpWVKA8uBdJlAMRmiJSqECLj48pAODyTbasvR42qBimjtQLGAcx= zHB0gFnhpz29D9RxIf0SUnFCoDPt5owMZFiMEJP1AoVwR/rSs0lSBMrgN6nRQSLuQTDCxEokySK= DwDVYpK6/ghaLCcmUgxGeIh6oQLkxQqQt6jE28UCJS0rzRVIEy0mWKFH7OKj9TuRfXJCBfg3nQy= DwQgfMSFUAN0VSLZrzcBOO078ofVhiUWMCBYLaw8e/x56xiM48BUipeg96aBMNWtKuo/BYISPmB= Eqgpp1JV7Xcqx4O02cpC5GZmUFB0GgZERIHAghXRdvF68TmEAxGPoi5oQKUBccsqzleNoy+ZjNZ= tkxWVLBAsBESwUiTgBkBQqAomipRfQxkWIw9EdMChWg7AoUbxc/pJSCLeQESy5akNTHREse0u8k= iA5FYNRcfFpFSrpMW2cwGJEhZoWKoMW6IusEfwVLvKwWLUi2N177vbAcS6JFovZIv1MgAqQmTEr= /dwwGQ3/EvFABgVlXcvXIhb2TepSESrxNvCwWLSD6rC0yhQrHcTDLCI10nfYhv7eSOIn/D2kBFA= wGQ38woRIRCsGibZdzC4rPoSReUuEyUhShWJTIt9hygsyy3Dbxuj8pj5RcfgwGQ18woaIQiDtQq= R7acUpWlng7bZlWTipeQOQtLyVRkm7v7rKca4+2LoaJVGiJ1vmRGOGFCZUMWq0r8Ta1+tSsLHG9= auIkV0a8TMSLdh3Sda0WGW2mY7mHv5kiEGoipbRP7RiaIDGRYjCMDxMqFfwRLPF2pfrkrCxxfVq= FSumb1j65dbGoKUF6ddQe+kpC4c+3P8Kmtk1uncFg6BsmVBoJVLDkLCnxPloZqXtQ6VttG619cm= 3yFy0CJV3vjlAplVdaVtrGYDD0DRMqP9FqSSm5BtWEiXZOsaCJv8m5aBaZ+Ly0ugMVK7mHvZIw+= Cs0WkWKdl4mUAxGdMGEKkDkBEtpP01YlFyA4n00cSL4uywmmGKlxYoSL/tjZSktK21T2s5gMIwB= E6puoma10PZLt9FES81qUlumtae7YqWl/01u3R+riIkTg8EQw4QqiGi1ssRl5ESL7JMKF21Zeqy= WusWEQ6jE61oFTe6cTJwYjNiCCVUIUOqvopWhCQvZrkW4xMfSBElJpOTaJ0ewxErreqDbGQxG9M= CEKgwEYmlJt5N9csKltk1aj9J+rSgdp9USClSAmEAxGLEDE6owotafJS0jLafVUlKKINTaDrV2+= Vtey/HBKsNgMKILJlQRQot7kFZOXFaLRaMmRMF88Guty59zMmFiMBhMqHSCVuGilVU6JpIP+kDO= zYSJwWBIYUKlU5QsKX+O8Rd/LLvuwkSJwWBogQmVgQhW5F6g59BTnQwGI3awAMDHH38c4WYwGAw= Gg8FgMBgMhgH5/+OntmJmatRQAAAAAElFTkSuQmCC" width=3D"426" height=3D"244" alt= =3D"" /></p><p style=3D"margin-left:46.4pt; text-indent:-18pt; text-align:j= ustify; line-height:108%; font-size:12pt"><span style=3D"font-family:'Times= New Roman'; font-style:italic"><span>c)</span></span><span style=3D"width:= 8.68pt; font:7pt 'Times New Roman'; display:inline-block">   = ;   </span><span style=3D"font-family:'Times New Roman'; font-sty= le:italic">Dimensiones del ABP mediado con Chamilo</span></p><p style=3D"te= xt-align:justify; line-height:108%; font-size:12pt"><span style=3D"font-fam= ily:'Times New Roman'">Dentro de la dimensi=C3=B3n de ABP mediado con Chami= lo, tenemos las necesidades que han observado los docentes durante la artic= ulaci=C3=B3n de metodolog=C3=ADas activas mediadas con plataformas virtuale= s, ellos han manifestado que las necesidades m=C3=A1s relevantes se encuent= ran: la falta de recursos educativos y herramientas digitales 35%, el escas= o acceso que se cuenta a internet 28% la capacitaci=C3=B3n t=C3=A9cnica 14%= , como se muestra en la figura 3. </span></p><p style=3D"margin-bottom:0pt;= text-align:center; line-height:normal; font-size:12pt"><span style=3D"font= -family:'Times New Roman'; font-weight:bold">Figura 3</span></p><p style=3D= "margin-bottom:0pt; text-align:center; line-height:normal; font-size:12pt">= <span style=3D"font-family:'Times New Roman'; font-style:italic">El ABP med= iado con Chamilo</span></p><p style=3D"text-align:center; line-height:108%;= font-size:12pt"><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAA= AdwAAAEeCAYAAAAgg6RKAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAIAB= JREFUeJzsvXt8FPW9//+amd3NjZvcryrIUaqIWo5BJGI0BkoV1FZuAZSLVIynBX5fo5y2Vs+Blo= qtOXIRHiUHegoULdVyiwFToVRigcgtBlE0KioXCdeQbJbs7uzvj81nmZ2d2ya7OzO77+fjsezc5= zNLZl7zen/en8+H27lzZwAEoUMg0LI/k5bsx/bhOK5V26iRqH0IgiCkOAAgNzfX5GIQVsKoSBrZ= LhrBlW/LcVzYMqnoqS03gt72Ro5HAkwQRLQ4zC4AYQ30hFFtfUv3M7KdXFRFUQybZ+ujcbtyETe= 6Xn5sI9sQBEFIIcFNUWIpsPJlLRVn6XZMvNh0IBAImwYiBU4URfA8H7a/WhmU1iuJrbQcSsuVjq= 22niCI1IYEN4WIVmSjFdeWCK1cANm83M2ydfKwslwk/X6/pnDK99VCy+3qiasRgSYIIrUgwU1yW= iuyaoIazX56y6QOVmudfJohF2s2r1Tnq1UPrCb+8nPphaSVaE2SF0EQyQEJbhISK5E1IrYtFWS2= TC62SmFj+bSS8OqJK0MvlKwmvGouO1oBprAzQaQuJLhJhJHQrdK80nRrlumdT7pMnvwkTY6SJ0r= JYeu1hNXIOj1xl5ZNa1op1KwlsOR6CSK1IMFNAozWnbZEMOWhXvl+esdUK5/StlKBVapjVUpgUh= NdtXk1EdRzuUbEuKXiS66XIFIDElwbY0Roo3WqWgIrX651Hq2yyYVLLl7ydQwtMVISPKVt5NPyZ= VqCLD+P0kuB9DqNiC+5XoJIHUhwbYiWY1SaV3Ol8rrTaNbJt1E7p1bZpKIkDSOrba/lYtmxlIRQ= b1rt28g28nPqCaaek9a7ZoIg7AsJrk1orZvVE9JopqXniCa0rHQcuTgquUYtgdJytVrzRoRU71v= JVStdi1p4XOn3IeEliOSFBNfCqImsfJ1aODcasY1WcLXOozUt3VdLdJT21wrjqrlY+bKWuNdo1m= k5X7UXC6XfgYSXIJIPElwLEq3QxkpYoxFrI+FmpXKrud4HfrlR9Zqzhz8Qmv7NiDah6WgcrXw+W= ierNK23Xk18jYSb1a6BhJcg7AsJrsWIJnQcbWjY6DK9aa1lSteQ94u/teCXUObn79ZHvc/CkW1D= 07FwuEaXqwmtmkuXlsuI8JLoEoS9IMG1CC0VWj2Blc9rrdM6jl44OZaiGmv+c/tl1XVMjPVEVy7= URoRXTYDlIqwVJpeH3uVhafkygiCsCwmuyegJrZrgGhHIaEVWbxv2bWVxjRYlMV44sm3UoeNoBV= dpX6m4agmwtFxsP/kygiCsBwmuiajVc6pNRxsmNiq6ei43mQTWCHIRZgJsNIwsX2dUhOViS8JLE= MkFCa4JaAmtdD4aF8vWSXtqkk7rCbB021QTWD2MCLCSoErDxmwZz/O6oizdVz4tRUt4SXQJwnqQ= 4CYQpfBxtHW0sfrIj0kiaxypABsVX7164FgIL7ldgrA2JLgJIprwsV7YWBTFmIguiWzrURNfNfG= Uu16jwquG0cQq+XKCIBIPCW6caU09rTw8rCWe0vVsXxLZxKIkvjzPAzDmaFsrvuw8ak6YQs0EYS= 4kuHFEr25WvkwvfKwkokbc7v0/fztBV0wwmPhqud5YiK+eiMrXUaiZIMyDBDdO6DlZNm20jlYur= GpCK11ObtZ8pK73tz9oF1GvK3XALKFK7cO2ZRip0yW3SxDWgQQ3xhhxtWze6EdPbOXzJLTWZN62= OgBB4QXChZHnefj9fk3hZftEE2KWouR2SXQJInGQ4MaQWLharbAxCW1ywIRXGm6WC6+S6AKRgst= cb0vdLoWYCSJxkODGiGjENhpHqye2VD9rX5TqeYGg+LGEOanwBgKBCCFm28szk6Xz0gxm6TIp5H= YJIv6Q4LaSliRGtcTRypeR0CYP0nrel0e1DxNUURRVBZbn+Yj1WqFmI26XRJcg4gcJbiswKrbSM= LLR+lg1sSWhTW6eL7sEIFJ41RytVmIVc8RSIZW7XQoxE0Ti4PU3IZTQqpeVLlMTU6WP3+8P+5Yv= I7FNHZ4vuxT2d6D29yLdRv63pRZBYcjnpagtJwii5ZDDbQFqdbTSZXLhVXKsWo5WupySoVITFmp= Wak6kFFZWWqeFntslCCK2kOBGiZbYGk2GUhNXCh8TSkibE8kTp4CrIitdp1a/KxdhrXpdqtMliN= hCghsFepnI0WYcq4ntff/5VsKvjbA+87bVYeHItgAi63GZkCq5XanISkWYQaJLEImBBNcgagIrX= dYSoaXsYyIa5GFmABHuVi7EUpFVCzOT6BJE/CHBNYBaPa38Wy/jWEtwydUS0SANM8vH2FWq15U7= YCXh1arTpexlgmg9lKWsg1YTH6162GgykElsiZYyb1ud6t+a0kctMU/tb1sOZS8TRMshh6uBVhj= ZSFKUWuiYXC0RS5jblbbdBa66USOOV163K3W71EEGQcQGcrgKKLVXlH/LhVavja3ceZDYErHm+b= JLmn9/Si9+Su10yekSRHwgwZWh1NRH/h2t0MpFlxKjiHihFGI2El42Irpq9wZBEMagkLKEaMVWT= 3gphEyYgTSTmaEWXo4mmYoymAmidZDDbaYlYmskfEchZMIstBKqlJL9tNwuoD22M0EQ+pDDRcvF= Vk10pctJaAkzmbetLqLNLoO5XbZcOrauEuR0CaJ1kODKUBNbIyFkElvCisizmKWoZTRTBxkEEXt= SPqRsJBtZKcGEnC1hN7SymNWasUUbXiYIQp2UFlyt5g56YquUIMWGSyOxJayKVhZzS0VXCgkwQa= iT0oIrRasZRDTOlpr8EFZHKrpamfVG2ukClERFEEZJWcFVe2DIHypKdbdqzpbElrALRkRXL3NZz= +0SBBFOyidNqYXFjDT/IWdL2BmWwQwEk6XY37N03u/3hxKo1EYcCgQCoe2tljTl9XrNLgJBAACc= TmdqCq6SyCq1R1QLq0nF9t7nN5hwBQQRG6SiC1zNVmZ/60r9MMvvH6Vl8uMRBJHCIWUAiuEzpXk= AYaFj1oEAiS2RDMzbVhf2t6309y8fgUirThegLGaCUCKlHK7eQ0Cvja10ee68vyay6AQRV1h3kC= +Paq+YQCgNOUtHFZLDwso0li5BRJIyDletrlbrrV3J+fr9fhJbIml5vuxS2N+6kaQqNYdL2csEE= U5KOFyljGSWHMKWaT1UpA8fElsi2ZHW2TIEQQj1QMXW+/1+CIKguJ+0Lph6oyKIIEnvcNXevI00= /yGxJVKR/9x+WTdT3+/3R9wrSqFoNi2FnC6RqiS14Gq1rwWg6GjlySHS9QSRKshFVyqwei+sSmJ= LoksQSSy4WmFkow8MqeBSd41EqsE6x2D3g1KmslbWsvR+k34zSHTN48CBAzh48GCL99++fTu++e= abGJYoNUjKOlwlsZWHutTEVS601IMUkcr85/bLWDiybaiulokoq8PleT4sg1nebpfV2cq/GXat0= 532f59FLFv9xL+Fpt977z28+eab6Nq1K+bMmYPOnTvH5LxVVVXweDzIzs5u1T5Hjx5FQUGB7r5P= Pvkkjh8/HppftmwZbrjhBpw7dw59+vSJW5mTFW7nzp2B3Nxcs8sRM7TEViqobF4urvLwMjlb88k= e/oDZRUh5Fo5sGxJXjuMgCEJomuf5sHkAIYFmy+TJVFKRjafgxqunKS3B/eKLL/CXv/wFhYWFuH= jxIo4fP4577rkn5mWora1FRUUFHnnkkZgfW8qJEyfwwQcfYOzYsXE9T7LjdDohTJ069aXrr7/e7= LLEDT1nq5YcEggESGwtQq/r+pldhJTnvZom5N3gAqAsltLeptTEVEl4lbaLJdLWCLFk0+HzEcse= ub0TAGDv3r3493//d/Tp0wft27fHddddBwDYv38/nnjiCZSXl6N///6ora3FG2+8gSVLluD48eP= Izs7GwYMHw7ZxuVxYuHAhfvvb36Jnz55wu9346quv0KtXL/z617/Gxo0b8cUXX+DXv/61oX3q6u= rw6quvYtmyZbhw4QLuuOMOHDlyBOvWrcOKFStw9uxZDB48OOy6Ll++jG+++Qa33HIL6urq8Morr= 2D58uVwuVzo2rVrxLnkx6qurg6d/8KFC2HbX7hwIex6u3XrFpf/LysgCEJyhZSVkqSk01p1tPKE= KRJbggjnP7dfxm9/0C5MxJiISkPGUuGVLpfukyyhZSX8fr/itQwePBjl5eU4deoU3n33Xdxxxx2= 46aab8PTTT2P9+vU4fvx4xDZff/01xowZg//6r/8Cx3GoqqoK/f5z5szB+++/jx//+McAYGif3b= t3Iy8vD88++yz+8pe/oKamBqIookuXLlixYgWKi4vh8XiQnp6ueG0VFRXYtWsXAKCkpAQcx0WcS= 34s9kxl+0u3BxB2vYMGDYrtf4bFSJqkKaVQMps2Krhsv6mvfpXo4hOELcj8wxjFe0cteQrQfhFO= Rvr164eysjLU19fjm2++CQnU0aNHUVhYiKlTp8Lv9wNAaCAIVv8t38bn80UMFsHgOA4NDQ346KO= PDO/j9XrD6tdZ6L9///7IyMhAr169QmVTQhRFLFiwAO+++y42b94cNrgFQ+tY8rIp/SbJTFIIrl= q9rZ7IKs0//rsvAADXdRmseC6CSEUWfz0Zi7+eDCA8219PcOXLGUpimywC/L3vfQ833HADnnnmG= ZSUlODmm28GALjdbpw/fx45OTlwuYLh+YqKCkyePBmNjY247rrrIra5++67sX79eowYMQLbt28P= 1aMDQLt27VBZWYktW7YY3mfYsGHYtGkTpkyZAlEU0bdv37D1St12StcPHToUZWVlGDVqFIqKijT= PJR1dii2Tb6/0myQzSZE0ZdTRsraE0jaF8qYOSu72eO3+BF4NIYeSpsyFCa2UhpmbQslS0oeq/M= PWsYev/APEtz7XysPzVVVVwe1246677jK7KEQCcDqd9ne4amKrtEwvnKwWSia3S6QqSmILAFkrH= 45wr9F0ipEKoWU9pM6PSA2S5n9bqVG9VhayXGyf+P2Xmscn0SVSDTWxZUhFV97UTktopSRzaFmP= gQMHUtvUFMPWgqsnslpNfuTTRiDRJVIFPbFlKNXVaomudB+9Ol2CSDZsK7hG6231wsiiKGJa8XG= NM4VDokskM9LkKCMwlyu9vwAoiq3Wh+3DIAEmkhHbCi5Dq85W7U1bKrrRiC3jui6DSXiJpCMaoZ= WStfJhzcxkvbCyGiS6RLJhS8FVq/fRE175g6C17W1JdIlkoaViy8j8wxjdAUDUwsqUQEWkCrYUX= IbaDaz1di3v5KK1kOgSdqe1YsvQerk14nRJbIlkx3aCq1ffo/Z2LR8wuyWhZDVIdAm7EiuxBSJD= y9F+GFSXSyQrthNcKXoJUvLpeIgtg0SXsBPRJkcZRdr1o1J9rlJomX1HU79LEHbEVoKrVs9jRHi= lGZTxgpKpCDsQD6GVopWoqFblI4dcLpGM2EpwpaiFotTEln3Hw93KIdElrEq8xRZofWiZEqiIZM= U2w/NF627NElvGdV0GW7oP5kHuf+Ls2bMAAIfDgQ4dOiRs/kTvR8BxQPM/Mb+2htJf4MKFCwAAl= 8uFrKyshM33mrgEYP0EW2y4uUSILSPzD2PQ+NQWXWFVGqpPCSPbEITVsYXgaoksm1fr1IJ9mzHk= npVFl4kfz/Pw+XwJnQ/4riDAC+B4QSJMMXqYBgK4cOFCqHP8pqYmNDU1JWzee8UNweEEJzjAcbx= lhDeRYstgVTgcx4VNG3WzRsWYIOyCrULKRoRXzemahZXDyw6HAx07dkz4vL+pMSi6fh8Cor/5/y= e2/0dOpxPt27dP+Ly38TJ8V9wQfU0Q/T4EAiJg4t9fvJKjjMBCy3q9T7F1elCImbA7tnC4UtRuV= K0sZbMHlGeiax23GzDF2bJ5MasBATENvFMEL7jAgQN4PiZOMNB8rkQ7Wzaf2XARoi8LDtEPwZUO= cGngBS54jQnGLKGVIr0feZ4PTcudLttWDrlcIpmwjcNVc7fSaa0EDCtgJbdrhrNl+JvcEJvcEL1= XIPqaJC43FgRMcbaMpoZLaHLXwedpgL/J0+zi45sdr4QVxBYIT6ACWn+vWul+JohosbzD1WoyIH= 17Vhp+z+/3m+5u5VilXtfMOlzR6wkmFvEOBDgeAcEJjhdidm2m1uF6GsBxAvjmelzBmQZecMbs2= oxgFbFlsAQqLZcLRHbPyiB3SyQLtnG4gHL3jXqDW1sRqzhds+pwA34vAj4vAmKwDhcBEclSh+v3= XoG/2bmLoTrqxDlcq4ktw2gzILX71sr3M0EYxRaCa+QGVRpY3mruVorZoqvkPNu0aYMXXngBO3f= uxK9+9auI9Y899hjWr1+PnTt3Yu7cuXjwwQdRUlKC8vJyvP7666Htp02bhu3bt2P06NGqTjfe19= bU1BRyujzPIzMzEy+99FLo2qTrCwoKUFpairfffhtz584Fz/MYNWoUVq9eHbo2tj27tgcffDDs+= Gy9WZiZHGUE1gOVWp5FNKFmEl/CrlhecNVuOHkvNmy59NvqmNkzldx5Xn/99Vi2bBluu+02cByH= jIyMsPUdO3bEj3/8Y5w5cwYcx6Fdu3bIz8+H2+3GG2+8gZtvvhm5ubnIzc3FuHHjUFlZib/97W9= h+ycKufO89tprw64tPT09bL30ujIyMtC+ffvQtb355psR17Zv377QtcmdrhlYWWilkMslUh1LC6= 7SDSbtnlFeh2sXdyvHDNGVO8927dqhffv22Lt3LwDgypUrYet/8pOfIDMzE5WVlQAAj8cDh8MRm= mbbFhYW4vjx4/jlL38Ztr/0fPFG7jw7dOiADh06hK6N1bnyPI9nn30W6enpoevy+/24cOFC6Noa= GxsBAIIghK7thRdeiHC2bD7R2EVsAWMuF1DvRY4g7I5lBVfeflbthpTfsGa3u20pZoiu1HkeOnQ= Is2fPxpkzZyLW33HHHRg+fDj+9a9/QRCuJje9//77aNeuHaZOnYpDhw7hscceg8PhwMKFCyOOrz= QfT6TOk13b6dOnw9bn5ORg+PDhqKiogM/nC9t/9+7dmtemV6ebCOwktgyj4WM1x2u3KBZBSLGs4= EoxWufD1ieyC8dYkkjRVXKeNTU1IUfHcVxo/fTp0+HxeLB06dKw9evWrcNDDz2E/Px8nDlzBv36= 9cOOHTuwePFilJeX4/e//71l6nA///zzkGtn2cVjx46Fx+PBihUrwnpC4nkea9euxUMPPYQRI0b= gzJkz6Nu3L3bs2IElS5agvLwcr7zyiql1uHYUW0DZ5RqtuyUIu2NJwZWHjeXfSnW48mG/7EqiRF= fPebpcrtB0ly5d0KFDB2zcuBHjxo0DAPzgBz/ArFmzAACTJ0/G/fffj7feeguDBg3CpUuXUFZWh= kGDBuHWW281vQ5X7jydzmAzHXZdb7/9dth1/fSnPw1tq3Rt77zzTujaEu1srZ4cZQQjyVNq28qP= QxB2wnKCqxU+UhNd6TK7ulspiUimUnOerM2jtA53woQJoaShDRs2AADKysqwYsUKDB06FBMmTMC= ePXuwcuXKUMj58uXLAIIvT2bX4Urb5QJX63ALCgpC1/WXv/wldF2vvfYaOI7D0KFDMX78eOzZsw= clJSUQBAGBQAD19fWha0tkHa7dhZbRWpdLQkvYFcsJLsOIs1ValkzEW3SlzrN3797YsWMHxo4dC= wDIzc3F3//+9wgnzESnqakJDocD//Ef/4HTp0/jl7/8JRwOB/bv34+OHTti3Lhx2L9/P7777jvF= 88UbqfPs3bs33nvvvbBrKy8vD3Omfr8/dF1s/2eeeSZ0bU6nEx9++GHo2g4cOICTJ08qni8eJIv= YMrRcrNH6XIKwG9zOnTsDubm5ZpcDwNUbS97MRykLmfUk5ff7LdurVKyIfc9UAfT+dlNY6J7n+Y= TNf+q/FrwzA0J6VvA7LQu8Mw2cSo9M2cMfMH5lARGn1v8srE5WPlpNPOd9Nz4IV0Y7pLVpD2dmO= 6RltYcjLROCM83wNchJNrFlND61BYIQHDFKEATwPB8xzyIH7HeWfhhaPVF5vd5EXApB6OJ0Oq3j= cKVvrqzLN7ZcydGyj3SbZCUeTtfMvpTjjZl9KceaZBVbQL3lgdI6tf3M4vL8IREfKU1NTZgyZQq= ++eYbk0oYpKqqCvv27TO1DK2lurra9tfAsIzgMoyEmqTbJVPdrRaxFl0z+1KON2p1uImYjxXJkB= ylh9G6XEC5ba6Vqa6uxvDhw7F/v7n9pg8aNAjZ2dmq62tra7Fx48aYnCuWx5IiNVd2xxKCq5Ycx= abVbkK50012Yp1MZVZfyonArL6UY0GyC62U1jQPsrL47tu3D+PHj8ehQ4dC5bxw4QJ+9atfYeTI= kXjvvfci5uvq6rBgwQJMnDgRmzdvxrFjxzBt2jRMmzYNAFBXV4eFCxdiwoQJWLlyZdhzb//+/cj= Pz8eUKVNQVVUVWi51h9XV1SguLsYTTzyBlStXAgCKi4uxbNkyvP766xHnr66uxssvv4wZM2Yo7i= vfXnosKUrHlR9La/tkwhKCq4RS8wCGXGR71/RB+ZgclI/JSWgZzSIWomvmeLgAh3gOD2uGs73aD= pddW8suMJXEFjCWMKXXJMhqwtvY2Iimpia0a9cON954I44fD0bfKioqMGbMGGzbtg15eXmK87t2= 7cLZs2dRUlKCCxcuYPTo0ViyZAmAYGcseXl5WLNmDTIzM1FTUxM65+DBg1FeXo5Fixbh4MGDoeX= SZ6UoiujSpQtWrFiB2tpaeDwezJkzB7NmzUJhYWHE+X0+HwYOHIjly5cr7ivf/mc/+1noWFKUji= s/ltb2yWSoTB+eTy1ErHbzSX98JXcrFd38zbvjXXzTaO0wf9/0eBCi90rz2LQeiE0NEP1XIPqbY= ljKSDhw4AQewXc9LiaDzsvP0O2x38HraQiOTdtYj6aGS/BfaYDfeyXG55KdmWNJP3xw+EFwQOij= T6qJLXB16D61uluWECUXXSsP2VdVVYUtW7Zgy5YtAILRj+uvvx4+ny+s2kE+L4oiFixYgOzs7ND= 1nTx5EkuXLsXs2bPh9XrDfg9pr29Hjx7FkiVLUFNTg/Hjx6uWrX///sjIyECvXr3g9/vBcRwaGh= rg9Xojzl9VVYVOnTqF2uTL95VvX1tbGzoWa+uudF1VVVURx5KitH2yYCmHqxU6aklToGR3vS13u= hzA8eAEB3iHC7wzDbwzHbwrHbwzI86fdHCONPCCAxwfzEiNpehyQPM4tC440jPhTM+CM6MNXBlt= 4/5xpreBw5UJwelqvj7ekN6mQn2tFi0NKbN9rcaHH36I9evXo7y8HFu2bEFVVRUCgQDuvvturF+= /HiNGjMD27dsj5ocOHYqysjKMGjUKRUVFWLt2LaZPnw4gKNrDhg3Dpk2bMGXKFIiiiL59+4bO6X= a7cf78eeTk5IR1WsPzfEjUpdMs07tdu3aorKzE2rVrI86vt698e+mxpGgdV55xrre93TG9WZCas= 5X3JMXeqKTNgfx+P3p93juq8yWj622R0w2ICIh+iL4mBPzeoMv1B6fjS3OzDt4BzuEEJ7iCYu9w= gROUAy7RNAsCgIDoh9/nhb/JA19TI7yN9fA3eeD3xde9Axx4Pjj4vOBKhyMtA870LDhcwetTIpW= FluH+yebQQ5V9WLMg+UfeTAhAxLcUahZEWAWn02luSFkt7V++jZIQtxTmeJNJeJnTjU54gy6XF5= wIsBCo34mA36e/a2vhOHAcHxRdQWh2gjEMEXI8eEEAnGngeB4cL0B0pUP0xfnhG7ouAbwjGD3ge= AHglN/OSWyDyMPKgHIOBwsx2yW0TBByTK/DZRjNVpQKb2sq0+0nvPovGdd1+T6O1x4wdjiOAwce= AT4oEjzHIyD4gUQlKDSLEzguKEoxzKLiOA7gBfAOLiS4AWcaRNGvv3Mszs3xzcLLB0PLCqJAYhu= OXtIUCSuRDFhGcOWw3nvU2t4CQJ8vrm31eayYZJX26UKIogi32w0AaNOmjeH5nga3/7RDXrMoAA= gIAM+DCziARNaJsWzeUIJRDA/N8eB4DoFm0QuIIgKBRLxMcM1mvfm6mgVYColtJJl/GAPPrK2G6= 3OVBJiEmbA6pgmuVjhZq1kAE+F4pIpbxfWyzvFZokA85gNtmgDB0ezGoCgMtocJOYdmF20uJLTa= aDUFlC6ThpXZNAktYQcs8YTVa38XTWZyLLBKdnNmZibS09PjMi96PcGEKdGHgCgm1tmmICS2+hh= 5DiQ7St0YRtO1YTRdOSZDt492w5IhZaVkCflQfL1r+sS9HGaFm+PpbNm8/0oDeNEH3pEGOFwA52= h2g+QUYg2JrTGiCStL26NK3a0d3G5tbS0qKirwyCOPRKxTyk2JJl9l0KBBhssRzbaAdrkJY5giu= HrhZPYtDR+Z/ZabyHBzZmZmWJ1rPOb9Te6Qq+VZoo/Q3BkFETNIbKPDSFiZLbeq0NbV1WHx4sU4= cuQIJk6ciAEDBmDhwoUAgNWrV6O4uBiVlZU4efIkhgwZgnnz5qF79+4oKioCALz33nt47bXXMGT= IEPz0pz/VPPY999yD4uJi7N27F8899xy6desGt9uN7OxsVFdXo7y8HJWVlbjvvvtQW1uLmpoavP= jii7j22mtRXV0Nt9uNAQMGhB2zX79+KC8vx6FDh5CTk4OZM2cCQKjcX375JTweDw4fPoy8vDzMm= DEjadrJxhtL/EpGw0hmiy5wNdwcz5BzfX093G53qO1hPOYD3isQfVcg+rzBpkCiPyVCdomExDZ6= 5M8A6bTac8Jq6HXRKO1OUalLxjvvvBN/+tOfcM0114S6hVQ79u7du8O6h5R35di1a1eUlJSgpqY= GBQUFmDNnTqjnJrat0a4XWblvuukm1S4mCW1MDylr3TBqopuIcLIR4u164+l0Rb832O5W9CHQLL= acgaZHhD4ktC2HhZUB6wqqHnpdNEq7U/z8888jumSUhsvlzlF+7I1nW0ZvAAAgAElEQVQbN2q6y= xtuuAGZmZno2bMnrr/+epw4cSJCII12vcjKLe10JBAI72KS0CbhDlfvBrJj0kSsHa/cmd5yyy3Y= sWMHtm7dinfeeQf/+Mc/8Jvf/Ab19fXIz8/Hxo0bQ2/JzMlOnz4db731FkaOHKnodIn4QGIbG/Q= crlJzQem+ZqLXRaO0C0R5l4w8z+PgwYMoKChAY2MjrrvuurCuDeXHlncPqdYdo9oynucNd73Iyn= 3q1CnVLiYJbRLetaNSm1ppUpR0yD1pN47S7h2t4nC1aI3rlbfDHT58OP77v/8bmzdvxquvvhrWr= nbp0qXo3LkzduzYgYKCArz00ktIT0/H7Nmz8cEHH2D+/PmK7XC/RjbOe06DT8uE4MoE78oE73SB= 400PekQQbdeOZkFiGxsan9qi2MWjvLtHI908UteOhFWwRNeOWs5V6S3XDmILtC7cLM8ubmxsBID= QA0a63uFwQBRFNDQ0AAAEQcD06dNx/Phx/PrXv47YPnT8NkDXDv+Gs40nWnGVBIPENnaoPROUMp= WtlCxFEHpYKrZoNGRkJ1oTbmbtZlnSwkMPPYTy8nJs2LABBQUFyMzMxL/+9S+0bdsWU6dOxUcff= YSxY8eC53ksXLhQt10uAPS45nstvzgCAIltrMn8wxgAytVLSli5uokgpCQ0pKyWcawUUpaGkaVh= Zbs4XC30XK//4AsAEMo25Hket912G86fP4/8/HxMnDgRly9fDrWHY8513rx5GD58OEpLS5Gfn4+= MjAx8/PHHmDt3bsTxzmbmwpHeFs70dnCmtcWp+i8opBwlJLTxo/GpLaEQstrIQdLQsvTD4DiOQs= qEZXA6ndZ1uNJ56fpkQM/1KjnTTz/9FMePH0dJSQnq6+uRlZUVtn7KlCm477778NZbb+G2227Dp= UuX8Pbbb2PQoEG48847I44np0/n23Bt5+/H6AqTHxLb+GOk+Y9eKweCsBKmdXyhFj6WbiPfPhaD= FVgJtZ6s1HqI6tixIx577DG0adMG3377bWj9wIEDMXbsWOzbtw//+7//i7vuuguBQCCUzn/58uW= w7GRWh6vEdV0Gt2x83RSCxDb+6HWOo1aPS3W6hJWxVPxQq0lQsqOUZMXazf7sZz/DD37wAwDAlS= tX8MUXX6CkpCS0vrCwEKdPn8bChQuRnp6O999/H4899hjGjRuHgwcP4uOPPw47HstWVoNEVx0S2= 8Qgb4/LvklQCTuTsDrcaOpvlZoD+f3+pKi/NcL9/3UfgPA611jPy+twHeltITgzwAvOUDmsIrpW= qcMlsU0snllbw+pw1epy5XW4UkH2+XwmXgFBXMX0ZkFS1FxtqjhcKYnoS9kI5HSDkNCag1qbfaX= mQQRhBxIuuHp1tUbXJTOJGA9XrQ5XznVdBgOwjttNNCS25qGX5yHdjkSXsAOmZCm3pMOLZEuYMk= I8x8ONFia8qQSJrblk/mGMoeQppeUEYUUsEVJWe4tNxXAykJjxcFtCKoWYSWytiVoomVwuYQdMF= 1wjb66pJrrlL+yEpwm41ABcvAxcrAcu1AP1bqBJJQfk5QO/NHx8juPB8w5wHC8bdF7/gZUKokti= ax2iyecg0SWsjumCC1BoSA7PAU4ByHABvgzALwJiABB44IpKxzm/vmdBaPrFfb/VPD7HceB4B3g= h2LMUx0U38Hyyii4JrXUx+iwg0SWsTEIENxrhTHV3y+B5wOUEMtODYstxgNMBeA20clj6wDwAwN= zdrytvwHHgOAG84ATvcILjhebmFMbLl2zJVCS21kUrW5nNk8gSdiChDlcrC1k+n8qiy3FXXS7Sm= qcdQEYaEE2zwrUPFgIApu/4s+wEADgeHC+ADzldAdG4XEYyuF0SW+uilTTFlpPYEnbB9JCyEdFN= xQxljgMcQrP48s2C6wq63WjZ9GhBaPqxbVvZGYKiy3FBh8sLiMriSrCz6JLYWh8jL9+UREUwDhw= 4AI7jcMcdd5hdlAhMa4erlY2cyu6WwXFXPwIfdLtpTqC1P8f2Rx8CAPywdCc7U/DBxCGYQNVC7C= i6JLbWR62LRylq4hrPZ8eGDRsilo0dOxYA8OSTT+L48eOh5XPmzEGXLl2QnZ0dt/LEg+rqarjdb= kuXu6qqCh6PJ6yMR48eRUFBgcZe5mHa4AV6y1NVaOUw0eUBQIjdcd97NNh9pN5QgdFgF9ElobUf= WvW4VnOyJSUlOHHiBD744IOQCNsR1s2ulRk0aFDEskmTJplQEmOYHlLWgkQ3/qiNWNRSrJ5MRWK= bvFhRfIFwp1hXV4fFixfjyJEjmDhxIvr164fy8nJUVlbivvvuQ21tLWpqavDiiy/i2muvRXV1NX= bs2IF9+/Zh8ODB+NnPfoaGhgYsW7YMhw8fRl5eHmbMmBFqW6+0/aFDhzBv3jx0794dRUVF4Hkep= aWlOHbsGAoLC8PWKQkYAOzfv19xO6XzHT16NHT84uLiiOttTfn69OmD4uJi7N27F8899xy6desW= 9tvKf5ePP/4Y5eXlOHToEHJycjBz5syE/b8rYep4uEqOVi+xiogfeuP0RoMVe6YisbUneolTStt= aCalTrKiowK5du3D27FmUlJTA5/Oha9euKCkpQU1NDQoKCjBnzhxUVVWF9r3pppuwevVqdOrUCc= ePH8fu3buRl5eHNWvWIDMzEzU1NWHnkm8/ePBglJeXY9GiRTh48CBEUcTAgQOxfPnyiHVqqG2nd= D7p8ZWutzXlq6iowJgxY7Bt2zbk5eWF/bZKv4soiujSpQtWrFiB2tpaeDyeePwXG8b0Aejl6f3y= ZUTiYcLbWvG1kuiS2NqbaKqbrPzsEEURCxYswLvvvovNmzeD53nccMMNyMzMRM+ePXH99dejY8e= OYaMcSUf74nkeXq83bPxfQQiva5Jvf/ToURQWFmLq1KmhMbI7deoEl8uluE4Jre3k55MeX+l6W1= M+n8+n2lOe2u/Sv39/ZGRkoFevXprXmAhMF1w9UmVIPqvSWuG1guiS2NobtUiYlXM+pMIinR46d= CjKysowatSoUPhUup18eyDoiidPnozGxkZcd911GDZsGDZt2oQpU6ZAFEX07ds37Nzy7d1uN86f= P4+cnBy4XK6w48vXqV2D1nby82ldb2vLd/fdd2P9+vUYMWIEtm/fHrat0u8iXS8futEM4j4erlI= 2ciCgPAaufCxcv9+Pnp/1ilvZiOhpaT1va+p0WzoeLgltcuD+yWYIgqA7Lq58bFwApjua1lJVVQ= W324277rorLtu3FquXz0pYajxchtXeVIlwWppklehkKhJbIhmQu91Yb99arF4+q2GKw2XuVsnhM= mfLpsnhWp9oXW+0ohutwyWxTT6uPF0acrep5HCJ5MHpdFovS5mwH9HW88azXpfENjmhhEoiGUhY= SNlIaj/dSPYmmnBzPDrJILFNbazaDpcgGKYOXsCW0dB8yQcTXy3hjZXoktCmHvR8IOyI5ZKmiOR= Cz/W2NpmKxJbQglwvYSVMrcPVuhE4jqO32CRDq663JfW6JLYEg54VhB0wPT9bTXTpBkpe1IQ3Gt= ElsSUY9Kwg7IKpIWXKOExtlMLNRup1SWxTE3pWEHaH6nAJSyBNslITXRJagiDsDAkuYSnkrpcJL= 4ktQclPhN0hwSUsCxPf8+/dYXJJCCujl3xJEFbB9KQpNawwsgNBEPaAnhWEHTDd4ZKwEnpsG/As= fvDJ78wuRov5ycf9cPbsWQDB/lTbt2+fsPkN91wCBw4cByT7XUbPEcLqWNbhEgSjoNckbBvwrNn= FaBEBAOfOnQvNe73ehM67m0Q0+UX4xQDEQLA8BEGYgymCK30TlTYNojdUIhkJBAJwOp3o3Llzwu= frrojNohuATwxAFAO2Fl16RhB2JuGCK79h5MNpEYQatnS5zeqWaGfL5s+7fbjo8aP+ih8enwh/A= KDmrARhDhRSJog4Y4azZfMXGpsFt0lEo1eE1x+AaEPFVXpRJwi7kTDBVbpB1G4aupkINezocs2s= w73cJKKhyQ+3V4THF4C3uS6XIIjEYzmHKxVbEl6CUdBrktlFaDFm1uE2ekV4vAF4fNLkKVJcgjA= D05sFEUS02LGZkNx5zps3D0OGDEF6ejrOnDmD1atX4+9//ztefvllDBw4EOnp6aivr8e7776LZc= uW4Yc//CGmTZuGrKwsfPbZZygsLMS5c+cwbdo0TJgwAStWrMDGjRsjz3dNeDnsLLXsBZxexAm7k= lCHq3ejkLsljGKn0LLcef70pz9F165dMX/+fHzyySfo2bMnxo4diyeffBJDhgzB0aNH8f/+3/+D= z+fDqFGj0LlzZ+Tn58PtduONN97AzTffjNzcXNx7770YN24cKisr8be//U3R6SYzlGxJ2A3THC6= Nd0ukCvI61qVLl4b+9rOzs0OONiMjA0BQKJuamuByuXDlyhWcO3cODkfwVvV4PAAAnucxa9YsHD= 9+HC+88ELY8aXnSzbUckGk7pdEmLAqcXe4Rlyt2g3DcRxO9P823kUkbIK8HtcuLlerjvXGG28EA= Hz55ZfYunUrPvvsM9x5550oLi6Gw+HAn/70JwQCAezevRvt2rXD1KlTcejQIYwdOxYOhwMLFy7U= rdNNBoyIKmUyE1bHcklTDLpZiGRCKZt4zJgxuOWWW3D27FksXboUHTp0QGZmJjweD86dO4eMjAz= k5+cDANauXYvRo0cjPz8fZ86cQd++fbFz504sXrwY5eXl+N3vfqeZrWxnGp/aEvU+9PwgrIipgm= ukWRDdOIQWdnC5Ss7z4Ycfxvjx49HY2Ig1a9agtrYWkyZNQq9evbBhwwYUFBTg888/x8CBAzFhw= oTQ/lOmTMH999+Pt956C7feeisuXbqEsrIyDBo0CAMHDkzKOlx6BhDJgmUdLkEkC3Lneeutt2Lm= zJkQRRHLly/H5s2bAVwVlvT0dNx0001wOBzw+/04duwYAOCuu+7C+PHjsXfvXqxcuRKCIAAA6uv= rAQB+vz+pnK0UeYaytCqKBJmwC5YSXPnNQzcSYQSru1x5nWpOTg7atGmDjIwMPPvss9i5cyd27N= iBDz/8EF9++SUefvhhvP766+jYsSO2bNmCAwcOhLKbT58+jV/84hdwOp3Yv38/OnbsiLFjx2L//= v04c+aM4vnsjpHmQIl+Vjg/cEV8GMePH0d+fj7GjBmDP//5zwktV7SsWrUqlIjXWqqqqrBv376Y= HAsIL5vasY2es7q6OqZlaymWaIfLhFYaAqM2d4QSBb0m4c8n1pldjKiROs/58+dj/vz5in/z0ge= 0dL3X68XkyZPD5pcvX47XX389bPuI88na4SYDVn8m+P1+zJ07Fw888ABeeeUVnD171rIvP36/v1= VVD7W1taioqMAjjzyCQYMGxbBk4WVTO7Z0ubQsckRRhCiKMS1fS0io4LIHCLth2LT8P5zElogWK= 3eG0blzZ5w9ezbkPNl4tYmYTxa0QsrybaxCIBCAIAhIS0sDANTV1WHx4sU4cuQIJk6ciHvuuQfF= xcXYu3cvnnvuOXTu3Bk+nw+DBw/GqlWrQvX4paWlOHbsGJ5//nksXLgQALB69WrU1dVh2bJlOHz= 4MPLy8jBjxgx8/vnnYdsonXf48OFYtGgRLl68iKysrFB5Dx8+HHH+xsbGsDJ26NAB8+bNQ/fu3V= FUVIQ33ngDlZWVOHnyJIYPHw63240DBw7g8ccfR1paGlasWIEpU6ZElJPneRw7diyirBcvXlQsW= 3V1NdxuNzp06IBXXnkFX331Fbp164Z58+bB7XYjOzsbxcXFobIMGTIkrJwM+W8xYMCAiDLEE8uF= lJWmqWkQYQSrhpbN7EvZ7kgzlNVexOVNhqxAcXExHnroIdx+++1o27YtAKCiogK7du3C2bNnUVJ= Sgt27d2PMmDHYtm0b8vLyEAgEQi6MuTtRFDFw4EAsX74cFy9exOjRo7FkyRIAwO7du5GXl4c1a9= YgMzMTNTU1Edsonfdf//oXHn30Ubz66qvo0aNHaDul81dUVISVcfDgwSgvL8eiRYtw8OBBzJkzB= 7NmzUJhYWHIRWZnZ+PgwYM4evQobr/9dsVyAlAs6549exTLxo59/vx51NfXo3fv3njhhRfCnKu0= LPJyqv0WFy5ciChDPDF1eD6laau/tRJEtJjZl3IyYMfnwdy5c7F+/XpUVlbC7/cDCIrGggUL8O6= 772Lz5s3w+/3g+auPYEEQcObMGTQ1NYUS4QCgU6dOcLlcyM7Oxl133YWlS5eisbERXq83LFooCE= LENlrnlZ5b7fw+ny9su6NHj6KwsBBTp06F3+8Hx3FoaGiA1+sNbXPrrbfiww8/xP79+/H9739fs= ZwAFMvKzicvG+P06dNYtmwZVq9ejZtuuilsnbQs8nIy5L/FkCFDIsoQTyzhcI30HkMQDK2BDKzq= cs0aD9fuqGUia2Uom/28YOXq3Lkzhg8fjv379wMAhg4dirKyMowaNQpFRUW4++67sX79eowYMQL= bt29H37598f7772Pu3Lm4fPkyAISJz9q1azF9+nQAgNPpxLBhw7Bp0yZMmTIFoiiib9++EdsonX= fIkCFYt24dioqKwkRG6fzyMrrdbpw/fx45OTlwuVxo164dKisrsXbt2lBZnU4nevToAY7jkJGRo= VhOpesBoFo2duwOHTpg4sSJmDx5MkpLS8N+H2lZ5OVk28l/C6UyxBNu586dgdzc3LifiNUnBQKB= iA8LCwQCAfj9/tC83+8Pzff8rFfcy0jYB63EKSvV5QYCwBW/iMtXRFxo9KHuih8XGtmA8PGtY+U= 4IE3g0DZNwDUZDrRPF3BNhoAsF490hyXetXXxzNoKQRDA8zwEQQhNyz9qzYR8Pp+JpSdizdq1az= Fy5Eg4HA689tpreOmll8wukmGcTqc1spSByIQqtoza2RHRYqkEKg4QeA5pDg5ZLh5iAPCJAfAc4= PTGN2uSA+AQgud28gBvw9uI+kgmpPTp0wezZ89GWloannrqKbOLEzWWGLxArUmQfJog7AaHYL2N= k+eQ7ggKrhgQ4OA5pMXZZXIABB5wCTxcDh4OngPPARzsdU9phZPp+ZBa3Hvvvbj33nvNLkaLMUV= wpW5WLrT0RkvEAiu5XI7j4OCBDAcPnuMgcBzSHSKa/PFvtsNzgIPn4BKCHwfPwU63lVYzIKXtCM= LKJFxwlURWLr5KYeWT/3aC6nGJEEY6wLCK6PJc8B+OA3gecPA80p0cfHFuh8/uIp4DBI4DzwNOg= bNNaNkzayt4GE+qJNElrI5l6nAB/SZDBGFXWCiXFzg4+ADSAoCYwI4pODSHkzmAt9H9pNbhhXy9= 0jw9NwirkTDBVepRSmmdUliZwstES7GKywWCYhc0u+xvmf6mtWiNg6XnBWFFLNM2IJp2dgRBpAb= yl26ll3B6RhB2wTTBVbtx1PpIpZuKkKPVAYYUq3aGQajjmbXVkKjSc4GwE5ZxuErIRffkv50wsT= TmEUCwAwUzPgRhFnov5FRfS9gNU5sFKS3TcrepeFM9/OoYXLp0CUCwp5LMzMyEzb/7wi4IHMDxV= +sf7YqV6nIJfVrSRDAVnw+EvbCUw9UKI6fizRQIAJcuXQLP83A4HPB6vQmdr28EPF7A5wNEv/0d= L4WW7YcRd6u2D0FYjYQKrpHEKKP1uqmEIAhhY0Mmav5SPUKi2+QH/KL9RZewPo1PbTFcf5uqzwT= CnljG4eo1bmfzqVSPGwBMcbZs/lwdcOEycNkNeK4APj8gWkxwjSZOMcjlWh+9zGSKfhF2xdQsZb= Vl5HKvYoazZZy/jJDLbbwCeH3WE1wi+WjJ/Z5qzwXCnpjucPUat6d6mztT63DdQIMHcHua63L9g= Bjn7ggTAblca6OXmaz1LEi15wNhL0zvS1m6TJ6prHaDpVq/yoIghGUPL1iwAHfccQdcLhfOnTuH= 9evX49tvv8XLL78cGowZACoqKvCLX/wCjzzyCJ544glkZmbis88+w+zZs5GZmYkf/ehHmDBhAla= uXIny8vLQ8dn5rniBK96gs/X5qA6XiD+eWVshGIhwpeoLOGFvTHe4cpQcLvtOxbCy3Hn+5Cc/Qf= v27fHSSy9h586d6Nq1K0aOHAkA4HkeW7duRW5uLnJzc/HCCy/A4XDg/vvvR0NDA9avX4+bb74Zw= 4YNwx133IFx48ahoqICf/3rXxWdrl2Ith4XIJdrVYw0B0ql+59ILkwVXCPiKp9PNcGV17G++eab= eOaZZ1BbW4v27dsDAGpra0PbOByOsO2zsrJCy3w+H4CgMBcWFuLrr7/Ga6+9FrE9QZhFNMlS0n0= Iwg5YwuGqhYqM1tskM0rOc9WqVVi1ahXuvPNO1NbWorS0NCSmI0eOxHvvvYcNGzZg7NixuHTpEv= 75z3+ibdu2mDJlCg4dOoTHHnsMgiDgN7/5jWYdbrJDLtdaSLtz1AsnK4lvqj0bCPthiuBGc2Oo3= WinbjwZr+JZDrnzfOqppzB37lzs3LkTXbp0wbPPPosvvvgCc+bMwdSpU/Hmm2+iY8eOGDduHABg= w4YNmDx5MvLz83HmzBn069cPH3zwARYvXozy8nL8z//8j2a2cjJDomsd1MLJ1ASISBZMd7ha7W/= lN1oqhpXVsokPHjyI+fPnw+v14pprrkFTUxOqqqpw4sQJ/OEPf8Dly5dD4WS2/6RJk3Dffffhrb= fewk033YRLly5h48aNuPXWW3Httdfatg6XSA70MpK17vlUeR4Q9sZ0wWWovc1q3Xyp0AmG3Hm++= OKLmD9/Pm6//XbMmTMHTqcT3333HRobGyEIAnr27ImZM2eibdu2OHXqVGj/u+66CwUFBThw4ABW= rlwJQRAAXP29/X6/rZ1tSxKnGORyzael4WQSWsJOWKqiTt48SLo8VetzmbPleR5erxerV69GUVE= RXnnlFYiiiC+++AJr1qzBz3/+c4wYMQIA4PF48OWXX2LlypWh/QsLC3Hq1Ck8//zz4HkeFRUV+N= GPfoSHH34Y+/fvx7Fjx+Dz+cLORxCJQiucnEr3O5HccDt37gzk5uaacnImqtJv+UcURYiiiEAgA= L/fH5pn090/7WFK2ROBGADuf+nehI8SxOYn3LYZHdoAndoBHdoAHdsBbTKAdFdCfwbD/PnEulbt= T6MJmYNn1lbwPA9BECAIQuiFT/7RqlZSE2Ov15uoyyAITZxOpzVCylrZhnrNg5I9ecrMvpQJIhE= YaQqklb9BzpewC5YQXIZeWMlou7xkwsy+lO1Ga+pxAarLNQu9uttkv8eJ1MFSgquEEdFN5uQpM/= tSTkVIdBOLPFnKqNCSCBNGOHDgAA4ePGh2MUJYpqcptTCyfJ3SNsl+85k1Hq5dUcoFiO4D7Y/ZF= 5hEyAVWWlertN4q4eQfztsX8WF89dVX2LZtW2j+97//fdzKUVVVhX379ulvGGNWrVoFj8cT02NW= V1e36lqUfoujR4/i9ttvb23RYoblbIw0Q5ndTGoDGrAbVD4YQjIhd54sWzkR83bkjTfeQF1dHYC= rLw7Rzq+sa6e6fu2Q8xB4gOc4cACS/F0vrnhmbQ3+jipJUHYNJ7PETkY8E7cGDRoU1fa1tbWoqK= jAI4880qrz+v3+mD935b9btCj9FpMmta6aKdZYTnCVMBJWPnXjSfQ41tPkksaeLc+9h8tu4EJ9c= GzaC5eBy43BAeHjCccDLgcgCADPXxUWqz/+6urqwPM8XC4XPB5PzOcvN/mRJnBwCXxQeMGBt/qP= YlHUnK2eu7VDZKu4uBjFxcUArgpBXV0dFi9ejCNHjmDixIno168fSktL8dFHH+HWW2/FsWPHUFh= YiHnz5qF79+4oKioCz/MoLy9HZWUl7rvvPtTW1qKmpgYvvvgirr32WlRXV8PtdiM7O1vx+OXl5T= h06BBycnIwc+ZMFBcXo7KyEidPnsSQIUPCzpWeno6FCxcCAFavXh1xTRcvXsSiRYtw8eLFsAiY/= LxjxoxRXH7y5Ek8/vjjSEtLw4oVK3DXXXeFnV/K4cOH4fP5MHjwYKxatQoFBQU4cuRI2PZ9+vRB= cXEx9u7di+eeew7dunUL+y2WLVuGw4cPIy8vDzNmzMDHH38c8XskGtPrcPXCyqmcPMUBcAjBZjh= Z6UDbTKBdFtA+C2jfJs6frGAToAwX4BQAgYmuDX5mjuPgcrniMn/J48flKyIafSKa/AH4xQANWd= gCWN2tWnMfu9/Tc+fORXl5OcrLy9GlSxcAweEyd+3ahbNnz6KkpAQ+nw8DBw7E3LlzMXDgQCxfv= hyDBw9GeXk5Fi1ahIMHD0IURXTt2hUlJSWoqalBQUEB5syZg6qqKgDhrlDp+F26dMGKFStQW1sL= j8eDOXPmYNasWSgsLIw418WLFzF69GgsWbJE8Zr27NmDRx99FK+++ip69LjaHFN+XrXy3HnnnTh= 48GAozCs/vxTWJBS46qbl21dUVGDMmDHYtm0b8vLywn6L3bt3Iy8vD2vWrEFmZiZqamogimLE75= FoLOlwpWFl+TItIU66cXK5oLt0OoDMtKv1hy5HcJzaeJ/bwQMuZ1DwnY5m0Y3zaVtDAEB6enpcn= C2bP+/2IcvFQwwIyHDy4Jw8eA4QbCwOZqD38qxWV2tnERZFEQsWLEB2djY4jkNVVRU6deoEp9OJ= Tp06weVy4ejRo1iyZAlqamowfvx4AMANN9yAzMxM9OzZE9dffz1OnDiBmpoaQ8fv378/MjIy0Kt= XL/j9fnAch4aGBni9Xnz++edh58rOzkbv3r2xdOlSzJ49GxkZGWHH9/l8ip3iyM+rttzr9eL111= 9Hhw4dMG7cOMVrZQiCgBMnTqCpqQn19fUAELE9K48SXq83rEqS9awn/z0SjekOF1C/iYw4XOkbc= rL1jsTqCB0CkJ4WdLjXtAE6tQc6d4jvp0v7qx1etMkEMtKC5bD68y5ezpbNX/T4Uefxo75JhNsr= wusPwE8ON2q0wslK97vS/lZF/ixiGf9Dhw5FWVkZRp5+PgYAABdcSURBVI0aFQoXSz8A4Ha7cf7= 8eeTk5MDlcoWtk34rTasdn5WJ4zi0a9cOlZWVWLt2bcS51q5di+nTpwMIdtIgZ8iQIVi3bh2Kio= rQ2NgYWi4/r9pyp9OJHj16gOM4ZGRkaF5r37598f7772Pu3Lm4fPmy4m9z9913Y/369RgxYgS2b= 98etv+wYcOwadMmTJkyBaIoom/fvoq/R6IxtacpKVJHa7TnKWmPU9IeqJLK5QIQxWCvU34R8PoA= nx9IyMsZB/DNLlvgg4LrFIL1ulYkAOC+F+8Nc6YAYjr/eOfjaJsmoGOGA23TBFyTISDLxSPdkVw= ve/HEM2trRK9S0mmtF+lonS71NEVYBafTac2QshylbGW2nGUpJ6vLBZqTlgLBbwcfFF8xAa6Ka/= 6HOW2uWYCtDnOmTDA5jsOECRMwadIkOBwObNmyBSdPnsSECROQlZWFzz77DPPmzYPH48G0adMwY= cIE/PGPf8T69esjjtfkD8DrD8AnBj+J+r9IJuSO1mg9bjKElYnUxjKCK6231ZqWLpPesNL5pKvL= RbPgAYAAWNRgWgK1OtwHH3wQtbW16NmzJ5xOJ3JycuB2u1FaWopJkybh+9//PjiOw7hx47B7926= sX79esQ6XaB2eWVsh6IirksgSRDJg6SeIVt2u1lsxPRhTF6U62J///OfIzMwMaxTvcDjAcVwoq5= HneTz99NP49ttvMX/+/LD9pccjWoc8ZEzulkglbKNMWjei0ieZu3sk1GFOND09HX6/HzfccAOGD= x+OPXv2oKmpCUDwb6aiogJt2rTBhAkTcPjwYYwdOxY8z2PBggVh+8uPR7QceTeOam1vCSJZsZTg= qr3RqmUpyhMrkjljmTCO1JlOnz4dHo8Hf/zjH8PWb9q0CaNHj0Z+fj7OnDmDfv364R//+AcWL16= M7du343e/+53i8YiWI3W1es5WSYRJjAm7YytVMuJypTdzsg/dR0Qid6Zdu3ZFhw4dsGbNGowbNw= 4AMHLkSBQUFIDneTz++OPIzc3FX//6VwwaNAh1dXV4++23ccstt+C2226LOB7RMvQ6ugBIUInkx= 3JPkGhdrtbNSzdw6iGvc505cyZyc3ORm5uLDRs2AADKyspCXcuNHz8ee/fuxcqVK0P1uj6fD0Cw= hxuqw209bIB5o/W2JMJEsmI5wdVCS1jJ5RJAZB2udL6pqQmBQABerxfp6emYNWsWTp06hV/96ld= IT0/HP//5z1AvOAcOHEB1dXXE8ap6/NDsS7QdeklSbBul/ZSmCcKuWKbjCzlGO8KQd4ih9On2SX= ezLoNIIKzji5aOEmRk/uabb0ZmZibyz29B2zQBnTIdyHLxyHTa6t01YTB3K+/oQv7RE+GWCi51f= EFYBafTaS+Hy4gmW5lcbmqhll0cq3kiOtQSGuXj3irtpzRNEHbGsk8Qo3W5RuqCeJ4n0U0R4t2X= MmPPdQUxL3uyIa+7NVp/K4XElkgmLCu4WhgRWKVQFZH8xMvZUjvc6NHqwhGIfJGmRCki2bG04Kq= 5XOkyvbCyVHzJ5aYG8XC2Su1wd/edGuOSJw9Xni5VHJRATXyVIOElkg1LC64a0dTfym9y6oEquY= l3HS7VLerDQsl6YWOj2coEkSxYZvACNThOeSADNi+FDWDA1qmJLpGccAA2F21HQyNw/jJw2Q2cq= wPe+fb/C40c1Krjc1xYti3Hcdj5b4UYfXxF6wufRCj1l2ykiodeZohkx/KCq4ZcfNky6TQTVybE= bFShUzeeRI9jPRNaXiIxCDzgcgJZ6UAgEBw/ODMzMyYvWuxvyOl0hkQXAMpvmoMxXyxu9fGTgSt= Pl0LQafKjlyhFEMmKLQRXzeUaqf+RCq8oiuRwkxwOgEMA0purXAMBICsrC06nMybHZ/WSTqcTDo= cjIsycynhmbYUQZW9SarkZBJGM2EJw5eiJrpHQ8umbTqH7pz0SWm4i/nBc0OWmu4LfPA+0adMmZ= h0gMDFhoWXWHeS2Ac/iB5/8Tv8ASUxLQ8lSSGyJZMY2gqsUQtbaVjqt5mpJdJMPJrgcFxRbQQAe= v+GnePPbP8TwHFfFQxAEEgkATYXv6PYeZcTdEkQyYxvBBVofWlb6UH1u8sFxwfR7Xmiu03UAaWl= pMTy+8rBxqepyrzxdCl6SlBhNnS2FkolUwlaCK6elWcsseYoSNpIX9t8qNH87HLb+U7csnllbwX= Ph3TUaCSXrzRNEMmK7DCK1G1WtmYE8eUrpoXD6plPxLziREmwb8KzZRUgoRgYi0Aslk9gSqYLtB= BfQDyEb+cgfDtQLVXJT0GtSws6VKqLLepPSc7ZUb0sQQWwpuHKU3piNCi11/UgQ0cPEVumektfl= yqF6WyJVsa3gGg0tG3G60ocGQcSCZHa5UmfbEnfLILElUg1bK4zaDasUvlKal7cb5DiO6nMJQge= 5wFITIIIwhq0FV0407lYtrExJVESsSEaXy9rbGhFdQD18TMJLpCK2F9xoQsvsWyukzOZJdJOPRC= ZOJSNKoWStelu9e9HOPLdldMSH8fXXX2PatGmoq6sDAPzf//0fmpqaWnW+qqoq7Nu3r1XHSORxE= 4nSNaxatcrQgCVGt4sVthdcoGWhZbWQMsdd7T2IRJdoLcnicuViG01IGUitJkA+nw/Z2dkoKysD= APj9/lYfc9CgQcjOzlZcV1tbi40bN8b8uHZB6Rr8fr+hngmNbhcrkrI3AI7T7hBDCs/zEEUxJLz= A1UEORFGknqiIlMeI2KqJLpAaIivnxhtvxKeffopz586FLa+rq8OyZctw+PBh5OXlYcaMGeB5Hn= V1dVi8eDGOHDmCiRMnIj09Hd27d4fX64XX60WbNm3gdruRnZ2NY8eOYeHChQCA1atXo7i4GJWVl= Th58iQmT54cdpwxY8aEzl1dXY3y8nIcOnQIOTk5mDlzJqqrq0PHVVp/7NgxvPLKK/jqq6/QrVs3= FBUVwefzYfDgwVi1ahUKCgrw+eefR+wHAPv378e8efPQvXt3FBUVged5xe3k137PPfeguLgYe/f= uxXPPPYc777wzbP2AAQPCrp9dw4033ohFixbh4sWLyMrKCl23vBzXXnut4naJICkcLqAfWjaara= xUN0XNhYjWYGeXqxZGNpIoBaR2ve3DDz+M0tLSsGW7d+9GXl4e1qxZg8zMTNTU1AAAKioqsGvXL= pw9exYlJSW477778Pe//x379+/HkCFDIIoiRFEEAFy8eBGjR4/GkiVLAABz5szBrFmzUFhYGHEc= tg8QNBJdunTBihUrUFtbC4/HE3ZcpfXnz59HfX09evfujRdeeAGBQCC0PXOHSvsBwODBg1FeXo5= Fixbh4MGDqtvJy7x7926MGTMG27ZtQ15eXsT6CxcuhF0/u4Y9e/bg0UcfxauvvooePa72kS8vh9= p2iSCpHK6Ss2VdOEq7eZQi7/5RyfECIKebJBT0moQ/n1iX8PPasZ9lLWer52rlpJrYAkCvXr3g8= /nwzTffhJZ5vd7QbxEIBCAIAoCgaCxYsADZ2dngOA5NTU1wuVxwu91hogkA2dnZ6N27N5YuXYrZ= s2eD4zg0NDTA6/VGHEdO//79kZGRgV69eimGuuXrT58+jWXLlqFjx44AgI8++ggnTpxAU1MT6uv= rNY979OhRLFmyBDU1NRg/frzqdvIyb9y4MezZq3RNJ0+eDF0/w+fzKTbvlJdDbbtEkDQOl6F3w2= s5XqWG/OR0iVREL4xspJ/kVA0pS1/WH3roIXzyySeh32DYsGHYtGkTpkyZAlEU0bdvXwDA0KFDU= VZWhlGjRqGoqAilpaV46KGHMGzYMPzzn/8ME4i1a9di+vTpAACn04l27dqhsrISa9eujTiOFOkx= 5NE8tfUdOnTAxIkTMXnyZJSWlqJv3754//33MXfuXFy+fFl1PwBwu904f/48cnJy4HK5VLeTl/n= uu+/G+vXrMWLECGzfvj1ivfz62XGHDBmCdevWoaioCI2NjaHrlpdDbbtEwO3cuTOQm5ub0JPGG3= kluHQ+EAjofliIgk1Ll3X7pHuiL4eIMWY4XIYdXK5n1lYIgtAid2u1UHKsxkFOVdauXYuRI0fC4= XDgtddew0svvWR2kWyL0+lMrpAyQy20LJ3XQil5ij1kvhtwmkSXSGpamiBlNbElWk+fPn0we/Zs= pKWl4amnnjK7OLYnKR0uQ83pSr+jcbrSaRJd+2KmwwWs63I9s7aGhFXucLWa0VlZbMnhElbB6XQ= mXx2ulFhkLqv1qvPdgNMJvx4iNlAHGJEwsRUEQVNsydkSRMtJasHVwqjoKr3Zk+gSrcFqzYSkzl= YvhKwkvHJIbAlCmaQXXDWXK52OVmzlokvZy0S0WEV0rzxdGnK1es5WS2xTNSOZIKIh6QUXMCa6b= Doah0tNhgg7E00722iaAREEoUxKCC6gL7p6blftIUSia0+sUI9rpsttrdiqfRMEoU7KCC4QG9GV= N/qXP6xowAPC6pDYEoQ5pJTgAq0XXSXhlTelINEljJJol6tVZ6v0MkliSxCxI+UEF4id6GrV65L= oElajqfAdQz1IyYWXxJYgYkNKCi4Qe9FVcrvUbIgwQrxdrmfWVjQVvtPiHqQAEluCiAUpK7hA7M= PLSp/vBpwmt2tRrJA4xYiX6BoJISs5WhJbgog9KS24SrQ0e1ktvEz1uoRZtMbV6okuQRDRk/KCK= 32oSJfJ1xtxuUqOV7qMOskgtIiVy73ydGlIbOWuls0bEVsGiS1BxIaUF1w11B44am//cuFVc7rk= dol4IhVa9jcn/dtT+jtVEl8GiS1BxA4S3GaMOF3pdmoPKi2hpRCz9bBSPS7QOpcrd7VqOQZKy4H= Ie4DEliBiS1KOhxtLOO7qWLpsOtoHEM/zobF12f4cx+G7AacRCATQ/dMe8Sg6kSI0Fb4TFFGOgy= AIijkFeiFkQFlgSWwJInaQw5XRUqerlbksX8bmmROh5kOElGhcrrxtrVKEhcSWIKwBOVwVpM6Wz= QMIOVQtpytfx5wt+7Bt2HaiKOLM976DKIrkdglDeJ8pA8dxECRiCkDR4bYkA5nEliBiDzlcDZQe= OmoPJyP1umoOWN5ulyDUXG5T4Tvw/cc2xb8dvXa2au1tARJbgkgEJLg66Imu0RCzntBKH5hnvvc= dCW8CsVriFEMuut5nygyLqlF3C5DYEkSioJCyAeThZfmyliZTMaQhZ+BquJmSqggA8P3HNgCAoB= M5kc8DUMxAVss+JrEliPhCgmsQI6JrZD82HwgEIIpi2Lxa/S4Jb2qSl5cHf34+OEC1nlZJbIHwi= AubV/qWTxMEET9IcKNAmjiltkzL7crFlzlb+X6iKEaILjne1CEvLy8koEC4S5WGi9k6rWQoPYEl= sSWIxEGC2wKicbtaoWYldwtoZzWT8MaHgl6T8OcT60wtAxNao0l4AMK+9dwshZAJwlxIcFuImug= CUBTelhxb6nKlYWgS3uTjgQceUBRTqViyUDKbl9fPGg0bk9AShDmQ4LYCpRAzW67ndrXqdrWWy0= POTHi7fdI9btdJxI/8/HwAVwVUycWquVs1oZVOk6tNPE8++SSOHz8eml+2bBluvPFGzX1WrVqFg= oICpKenGzpHdXU13G43srOzW1XWllBVVQWPx2PKue0OCW4MaK3bVcp4louvdLmS6J753nehaXK8= 1kapjlYtlAxAdZl0HYNcbWK4ZcbyiGVH/vdpAEBJSQlOnDiBDz74AGPHjjV0PL/fH/EM0UIURYi= iaHh7o9TW1qKiogKPPPKI6jaDBg2K+XlTBRLcGBGt21Var7RcTXil55KHmynUbE3y8vLC2mQDUB= VXubAqjeYjF1vp9nrLiMRRV1eHZcuW4fDhw8jLy8OMGTPA8zwuXryIRYsW4eLFi8jKygIA7N+/H= /PmzUP37t1RVFSE9PR0LFy4EACwevVqxeMb2Ue+Dc/zKC8vx6FDh5CTk4OZM2cCAIqLi1FZWYkv= v/wSDQ0NOHLkCCZOnIh+/fqhtLQUx44dw9y5c0PuWunaPv7449C2xcXFWLx4ceg4AwYM0L2eZIY= 6vogxag88rXCfVnKMNDNVr7cqNiQb+7AONGhkImPEqwOMBx54ACNGjIgYLk/eB7J0SD3p34O8ba= 2a0BpZRiSe3bt3Iy8vD2vWrEFmZiZqamoAAHv27MGjjz6KV199FT16BF+OBw8ejPLycixatAgHD= x7ExYsXMXr0aCxZskT1+Eb2kW8jiiK6dOmCFStWoLa2Fh6PBwAwZ84czJo1CwMGDMCuXbtw9uxZ= lJSUwOfzYeDAgVi+fHmYu1a6NlEUQ9tWVFSEHefChQu615PMkMONA1puly2PNsTMpuVtd9nx9D4= Uck4s0iQouTPV6l5Ra5kc5oKVIKG1Dl6vN+zeFwQBAODz+cKGRwSAo0ePYsmSJaipqcH48eORnZ= 2N3r17Y+nSpZg9ezYyMjIijm9kH/k2ANC/f39kZGSgV69e8Pv9AIJ/Nw0NDXA6nViwYAGys7PBc= RyqqqrQqVMnuFwuQ9fGthVFMew4AHDy5EnN60lmyOHGEbWHntztqn3kjlbJ2Wo5XrU+dr8bcJq6= jowDDzzwAB544AHk5+cb/r8w2u2ndBtpyFkOuVprIBXSYcOGYdOmTZgyZQpEUUTfvn0BAEOGDMG= 6detQVFSExsZGAIDb7cb58+eRk5MDl8uFtWvXYvr06QAAp9OpeHwj+8i3ke4v/Ztp164dKisr8e= 2336KsrAyjRo0KhaClOQda1yZdP3To0LDjqF1PqsDt3LkzkJuba3Y5kh61hAj5crlrlS5Xq7tVc= rtK67X2oyznING2xb3//vt1k5+U3C2Lcmi5WSMJUSSu2ni9XrOLQBAAgi8YFFJOEP9/e+eSpDYM= BNAuyCWSdeYg5uScI+tMrkEWU041Tf/EOIM/722Q1LIskypeWhJMdThK17NYdCjLfmdXZEy4LDl= /0PkBjMvl8rDyIPL4u8WRdL1DUp6E7XaC7g8A2wPhfiGdvV3dFu31RiK2WbGNzfeoMuNZvnP7kQ= UsIjJNU3vftbMfa+NRXeRxnxbZAmwXhPsCuuKNDlnpTCgS79zPG2t0SdoK+Ha7yfdfP5Z6O1bHN= E2trFXHO3+VpxKwfrVlrw4A2wLhvpBR8eq4PcWctWlZRkvOuu6Vbdt86ErHtibh95+/3R+SOEks= 2qjNE64dNxOxfs3KALBdEO4KyPZ3Rfy/TtQdyxNs1L8r2yjmSVhEXi7iP2/vInL/3p1OJznfbg/= Cncsjy8bzePp6G8+kSlYLcAwQ7kqIst0oFi03zzErPd1eidNKu7omexWRu68g2XEzPFHP8tTvgc= Z7X86O2ETk33cGK0Fme60ikkrbzsuTbPUsALAPEO7KeFa8I2Pa/Vwbz5ahbTyq23na56nqIuJ+V= /icPJ+ue6d7dbyzvFu1eeVszGiu1fMAwD5AuCulI14b97I7b4lZX2ev8fZ57asnYDuXTjl6vs/g= PffIsm5Hqp1MNit79agNAPYDwl05kVyzuG2LPsijjNnKV/fJ5BrJ1Jv3Z8Tb2ceex8zkaNtGst1= svGie1b8DAOwbhLshsqxXx3Wf7EM+y46tbCPxRm1Rnyi+BN2lZf18tmzHimRrY9EcorasHQD2Cc= LdIFXWq/tE+73RsnMlWxu397BLz9U8q9gIkfzss4rcnyqODj15r969kCwAdEC4G+eZrNdrtwKxA= tbl6FovE/bubduXktCIcKNy1dapV/MCgGOCcHeC/VB/5rCVjnUE7MW86z2pVkvez1CJ0BNvJFU9= RtWnMxcAAIS7U0YOW9k+IwKO6nrMarylyZZ4vWepytGY3XsDAIgg3EMwsufr9esI00pXXxe1eyy= Z+UbijeSbXdNpAwDIQLgHo7P07PXTfUdlU+0zV/cdJRujm9EuOR8AABGEe3i6Avb62v5rkNNSS7= 9reBYA2BenugsciWez1/8x9ijIFgDWDBkuPDCS9Xr9s2u/UmZr+s8AAMA3EZHr9friaQAAAOybv= 0VZXfkmaHUDAAAAAElFTkSuQmCC" width=3D"476" height=3D"286" alt=3D"" /></p><p= style=3D"text-align:justify; line-height:108%; font-size:12pt"><span style= =3D"font-family:'Times New Roman'"> </span></p><p style=3D"text-align:= justify; line-height:108%; font-size:12pt"><span style=3D"font-family:'Time= s New Roman'">En esta dimensi=C3=B3n de necesidades docentes para articular= el ABP con Chamilo, tenemos la figura 4, en la cual se observa algunas sug= erencias de estrategias dadas por los docentes para incorporarlas durante l= a utilizaci=C3=B3n de metodolog=C3=ADas de ABP mediada por plataformas digi= tales como Chamilo. La respuesta que dieron los educadores existe una gran = mayor=C3=ADa que representa al 65.1% que expresaron que se debe integrar he= rramientas digitales en dichas actividades, 20.9% ha manifestado que es imp= ortante realizar el seguimiento y evaluaci=C3=B3n continua este proceso, y = qu=C3=A9 durante esta articulaci=C3=B3n se debe compartir a los estudiantes= documentos, recursos, gu=C3=ADas, y m=C3=A1s para la buena gesti=C3=B3n de= estos procesos. </span></p><p style=3D"margin-bottom:0pt; text-align:cente= r; line-height:normal; font-size:12pt"><span style=3D"font-family:'Times Ne= w Roman'; font-weight:bold">Figura 4</span></p><p style=3D"margin-bottom:0p= t; text-align:center; line-height:normal; font-size:12pt"><span style=3D"fo= nt-family:'Times New Roman'; font-style:italic">Sugerencias</span></p><p st= yle=3D"text-align:center; line-height:108%; font-size:12pt"><img src=3D"dat= a:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAi8AAAEhCAYAAAC3NkCpAAAABHNCSVQI= CAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAIABJREFUeJzs3XtclGX+//EXR4GQgyKgmGe= QVCQPRbFmg4hamVbGSua26rfULdNt18XUjc3qaylGWuKKdlJ/ZqYWVq7WSrIe1wOCixqVCogoBi= iH4cwwvz/4MuvM3DMMAsLo5/l49Nhl5r6u631d933LxT333JeNVqvVIoQQQghhJWzbOoAQQgghR= FPI5EUIIYQQVkUmL0IIIYSwKjJ5EUIIIYRVkcmLEEIIIayKTF6EEEIIYVVk8iKEEEIIqyKTFyGE= EEJYFZm8CCGEEMKqyORFCCGEEFZFJi9CCCGEsCoyeRFCCCGEVZHJixBCCCGsikxehBBCCGFVZPI= ihBBCCKsikxchhBBCWBWZvAghhBDCqsjkRQghhBBWRSYvQgghhLAqMnkRQgghhFWRyYsQQgghrI= pMXoQQQghhVWTyIoQQQgirIpMXIYQQQlgVmbwIIYQQwqrI5EUIIYQQVkUmL0IIIYSwKjJ5EUIII= YRVkcmLEEIIIayKTF6EEEIIYVVk8iKEEEIIqyKTFyGEEEJYFZm8CCGEEMKqyORFCCGEEFZFJi9C= CCGEsCoyeRFCCCGEVZHJixBCCCGsikxehBBCCGFVZPIihBBCCKsikxchhBBCWBWZvAghhBDCqsj= kRQghhBBWRSYvQgghhLAqMnkRQgghhFWRyYsQQgghrIpMXoQQQghhVWTyIoQQQgirIpMXIYQQQl= gVmbwIIYQQwqrI5EUIIYQQVkUmL0IIIYSwKjJ5EUIIIYRVkcmLEEIIIayKTF6EEEIIYVVk8iKEE= EIIqyKTFyGEEEJYFZm8CCGEEMKqyORFCCGEEFZFJi9CCCGEsCoyeRFCCCGEVZHJixBCCCGsikxe= hBBCCGFVZPIihLhlVCoVKpWqrWPoycrKausIOu0pC0iexkge81ozj0xehBB3NBsbm7aOoNOesoD= kaYzkMa8188jkRQghhBBWRSYvQgghhLAqMnkRQtzR2tOl9vaUBSRPYySPefKxkRBCCCHE/7G3ZC= OtVsvTTz9N7969WbFihdH727ZtIz4+no0bN9KjR48WDyn+KyEhgS1btrB9+3a8vLxavP7G9rUp6= 9atY/z48XTr1q3FM1mDdevWMWHCBHx9fZtVT0ufS1qtlh07dvD5558zcuRIXnrpJezs7Jpdb3Md= OP91W0fQqdNoyD6f1tYxgNbJ8lDfCS1anxDtgW7ycvToUUJCQhQ3srGx4e9//zvLly9XfD8yMpI= ff/yxdRIKPbNmzeLs2bNNKmNu3xpqbF+bMnPmzCZtf7tpqf639Ln0888/U1ZWxocffkhsbCzFxc= V06tSpxeq/WQfO72zrCDo1NTU4ODi0dQygdbLI5EXcjmwBysrK+Pzzz81uaG9v/iJNhw4dWi6VM= MvJycnibS3Zt4Ya29eidbXkuXTp0iW6du2Kh4cH//u//9suJi5CCNFctlB/yTs1NRWVSkVubi6V= lZXExcXx1FNPsWTJEkpLS3UFdu3aRWRkJP/v//0/tFqtyYqTk5OZMWMG0dHR/PrrrwAcPHiQmTN= nMmvWLH766SeT286bN49JkyaxdetW5s6dS11dnVFZpW0OHz7MjBkzmD17NgcPHtTVP3/+fKKioj= h79izTpk1jzZo1uvdMlQHYs2cPzz77rO7BWg1XIwzbLi8vNxqvBQsWMH78eM6fP8/MmTNZtWoVh= YWFREdH8/LLL1NQUGBynCsqKnjjjTeIiYnh1KlTABw/fpzp06fz9ttvo9FoGh3rBob71pLs5va1= Uubt27ejUqnIzMxsdFwnT57MvHnzSEpKIjIykvXr15utuyl5zbWtdLyY2r9KOcwdQ9u2bdPr/7F= jx3R1qlQqJkyYQEFBgWJupVw3UsqidHwo2blzJ2+++SZLly5l3rx5TTrelI4rS9sVQojWZgswZ8= 4cfH19SU5Oxs/Pj5ycHNzd3dm8eTPu7u5kZGQAUFRUxLBhw1i7di1Hjx4lPT1dsdKcnBzy8/NZu= 3Yt4eHhbNmyhezsbPbt28fKlSuJiooiOTnZ5LaxsbGUl5cTFhbG+++/T05OjlFZw22uXLlCYmIi= K1euZOHChaxYsYLs7GwA3nzzTSorK9FqtaxevZr9+/dTWlpKbm6uyTLXrl3jiy++YM2aNcTHx9O= vXz+io6MBjNrOzc01Gq+33noLjUZDVVUVcXFxpKenk5aWxpIlSwgODub06dMmx/nMmTOEhoYSHR= 1NTk4OhYWFbNy4kXfffZeoqCi9cVcavxsZ7ltLspvb10qZn376aSIiInRtmhvX1atXU1paSkBAA= AkJCRw9epS0tDSTdVuat7G2DespKioyuX+Vcpg6hqD+o55Ro0bpMjg4OLBr1y6Sk5N54YUXiImJ= 4fr164q5DXPZ2urfQ6+UxfD4MGXixIlER0ezePFiVq1aZfHxZuq4srRda9OevqHRnrKA5GmM5DG= vNfMofj7g7++Pl5cXX375JcnJybr7JTw8PHQ3JI4fP57MzEwGDx5sVD4jI4P4+Hji4+MB6N69O3= 379mXUqFG4uLgQFhZGWFiYyW3nzJmDi4sL3t7eAKSnpxuV1Wg0etucPHmSBx54ADc3N9zc3Hjii= SdIT0+nZ8+e2Nvb4+TkxMCBA3Vt1NTUmC3j6uqKj48PlZWVeHh4oFar0Wq12NjYYGdnp9e20ng5= ODhgZ2fHgAEDAOjfvz99+vTB2dmZbt26UVNTY3Kcu3fvzqZNmwAIDw/nwIEDjB49mk6dOtGpUye= Cg4PNjrU5lmQ3t69NbX/jRx3mxtXR0ZGOHTty99136+rOyspiyJAhinVbmrextrt3765Xj7n9q9= SGqWOowY39HzJkCFB/BcjZ2Znhw4cDKOY27J8hpSy9e/fWOz4sZenxBsrH1eTJk2+qXSGEaGn2V= VVVRn/tXbx4kYSEBKZMmWLyoyGNRkPHjh0V36urqyM2Npb77rtP99rOnTtRq9UWbWv4sYhGo1Es= eyOtVktRUZHuZ09Pz0a/VWGujKOjI2PHjiU2NpaSkhIWLFhgchZpyXgplTVVztfXlyVLlvDDDz+= waNEiHnzwQb19dGNdSuPXFE3d15Zs35R94eDgoLvHxpK6G9vG0rbN7V9LcjTm4sWLnDhxgjlz5j= SrTqVyhsfHO++8Y9F9MpYeb++8847J4+pm2r3dONo58WTwbHp26g9AzvVzbEl5F4BBXR9kQtD/A= A3nqJZPjy7lcvEFvTru7zmG+3qOpmMHD+q0Gv71y1cczf4egEnBL9K3SxC2NnbklWTzRer7BHV9= kN/0HY+9rSNnrhxl15lPcLRzYsaDMRRXFLAlJe5WdV+IdsG2oKAAW1tb1Go11dXVAKSmphIUFES= vXr0oLCykpqYGe3t7CgoKuHr1KoWFhfzwww/ce++9QP0vt8LCQoqLiwEICAhgy5YtXL58mfLycg= 4fPkxgYCDbtm0jNzeXiooKDh8+bHLb4uJiKisrdSGVyhpuM3jwYBITE/nll19Qq9WcOHFC9xdwa= WkparWaiooKqqurKSoqorS01GyZmpoa0tLSWLFiBevWrdO9Dhi1rTRexcXFVFdXU1FRgUaj4fr1= 6xQXF+t+uRYVFXHy5EmjcgApKSnk5eXxyCOP4Ovri5eXF4mJieTk5FBcXExRURG1tbUmx09vBxv= sW0uym9vXStsbMjeuAJmZmWRlZVFcXExSUhKDBg0yO46N5bWkbcN6zO1fpTZMHUPw3+O/pKREd7= xt3ryZ559/HhsbG1JSUkhJSVHMbZjL8FxSymJ4fBQUFBjtA6ifyBUWFvLrr7+i1WpNjp1SfUrHl= aXt3u5U/k/VfwU9bQ2VNeX07jyAB3qNA8DRvgNgw54fN7H0+/9h6ffPG01cvO7qykN9J1BVU862= 1A/YdfpTcorOAfBQvwn09xnGmSvHOHThW7q59yE84LcM6Ho/18vzOZ//H/p61Z8vTwyehaNdB77= 7cfMt7b8Q7YHdihUrXre1tSU7O5vvv/+ekJAQXF1dSUhIoKSkBH9/f44cOcLIkSPx8/PjrbfeIi= 0tjRdeeEF36T8xMZEvv/yS3bt3M2nSJHx8fLCxsWHFihWkpKQwduxYevfujY2NDXFxcWRkZDBu3= DjuuusuPD09jbZdunQpOTk5XL16lREjRuDl5WVU9s0339TbxsPDA29vb+Li4khKSiIqKorAwEAA= XnvtNbKyssjKyiIjI4NDhw5x4MABZs2aZbKMVqvls88+Y/ny5Xz66ad8/fXXBAYG4uvry6uvvqr= XtqOjo9F4/fDDD2RnZ/PTTz9RUFDAzp072bNnDz169OC9997j+PHjRERE8MUXX+iVCwkJoaqqiq= tXr7J48WKGDh3KhAkTqKur44MPPgDq70fZtGkTv/3tbxXHz83NTbeDDfdtTExMo9nN7Wul7UNCQ= jh27BgDBgzA09PT7L6oqqoiNTWVvLw8Pv74Y5555hmCgoJM1r1r1y4uXbpkNm/DxzqAybYN95m5= /avUxnfffUd2drbRMTR58mR27NhBYmIie/bsYcqUKWzYsIGdO3eyefNmNmzYQHJyMs8//7xi7r/= +9a96uQzPJaVzMSgoiIKCAt3xMWLECMUre7t372b16tWcPHmS0tJSHnroIcUMhsfbiBEjFI8rOz= s7o+2a+pn2p59+CkDfh9rPt57q6uqMrj6bc74gnTN5R7le/iv9fYbh5tSJvJKLZF07S1f3XvTrE= sy5gv9wpSRLsfyIvhPo4RlA8rkv+fHqCfLVuZRWXQfg4X5P4ObkyfbU1fySf4qQXmOxs7UHtICW= ytpyOnbwxNGuA0F+D7Lvly/JLDxjNu9DfSda3DdDJSUluLu733T5liZ5zLuT8thob/a6+G2upKS= Ec+fOMXToUADKy8tJTk7m0UcfbeNk7VNsbCy/+93vGn1IW3FxMTExMaxateoWJVMm+7dtqFQqAM= Ys6tu2QW5QW1t7048HmKuKw9nhLjYdW8bl4gvc230kjw74fX29ddXkqy+zPXW1bnIC8Nsh8+jXZ= TDqqiJcHDtSXl3Kv84lcir3AP/zwN/odJcPsUkvAvBH1UqqNBWcvvxvQnqNwdbGlrN5xwnwHsLP= v6by7emPG824aMxHN9U3qL9xu+EPl/ZA8ph3J+WRB3qYsHfvXuzs7AgICKBDhw5kZWXRtWvXto7= VLtXV1VFWVmbRM0RKSkooKSmhuroaR0fHW5BOmexf0VxPBf8BV0d3fv41VffRUNql/VwtuYhWW4= cq4Gn6dB5IWMAkvk7/UFfOzrb+HqyTOckUVeTz2KDpDL37YU7lHjC6kqVFi1ar5cD5nboH+z0fu= oTiikLcnDqxICKBimo135z+iMzCpj280hJ30rdXbobkMU/WNmoDoaGhZGRkMHXqVObMmUNeXp7e= fRGi3nvvvceMGTN4/PHHG52MVFdX87vf/Y7MzExiY2NvUUJlsn9Fc4zs9wT9vYdSUHZZb2ICcKU= ki7zSi/zya/0jAJwdXPXer9HU33+WV3qR01f+TVVtJQ529Q+erNZUYWdrT8cOngA42DlSVVuuKz= sx6AXcnDw5cH4nvToF8q9fvsLO1p6BXR9otb4K0R7JlRcTfH19WbBgQVvHaPdeeeUVi7d1dHTUP= d+nrcn+FTcrqFsoIT3HUlpVROKpBKo1lUbbdHLxIcC7fjJ8pSSL+3pGEB4Qyekr/yavJJsA7yEE= dX0QD2cvnO1dyP2/G3avFGfR3aMfI/qOp6y6FEc7J3Ku17837O5R9PcZxsHz31BeXQrYUKfVoAX= q6jRGGYS4ncnkRQghmiDQZxgOdo442HXi+dAlAOQWnWfDsaU8GTybe3zuo+Hm2rN5x9h/LpH7e/= 73IY4HL3zD3Z4B+HsH4+8dzJWSLPb9vB2ApIxt+Lr1YLDfCNDChcIz7P2pfnmP3/R5jAsFpzmcu= au+zeLzjAqIRF1VRFrugVs7CEK0MblhtxksWeH5dl1xuyX6Xl1dze7du5k40fjbEDExMezfv1/3= s6+vLyNHjmTq1Km4ubnpve/q6kpwcDDTpk3D39+/hXooWsPtdsNuS2uNLM25YTc3Nxc/P78WTNM= 8kse8OymP3PPSDLNmzdJ72q0Sw0fHt0dHjx5tcpmW6Pt//vMfduzYoXtmzY3eeOMNnn32Wf785z= /zz3/+k1WrVnHt2jXWrVun9350dDTbtm0jKCiIRYsWUVFR0eS+CCGEsC4yeWkmS1Z4bs9PIb2ZV= acbNLfvZWVlDBkyhDNnTD+nwsnJCQcHB3x8fJg4caLRRMvBwQFnZ2ciIiLIz88nPz/f8g4IIYSw= SjJ5uQk3u8LzjUytrtyU1bKfe+45VCoVW7duBWDx4sVERUWZzWK4OrfhqtNgfqVtU323tN8N8vP= z6dGjB2PHjtX7eMhQbW0tWq2WkpIS9u7dS2hoqNH7NTU1HDlyBA8PD5MfYQkhhLh9yOSliZqzwv= ONTK2u3JTVsuPj4xk4cKBuReewsDASEhJMZlFa2dtw1WlzK0Kb6ntT+t3g0qVL9O7dm3vuuYcLF= y6YXLtq2bJlhIWFMWHCBNLT05k6dare+/v27eP3v/89u3fv5m9/+xsuLi6Nti2EEMK6tY+71KxI= SkpKi6zwbGp15cGDB1u8WnbHjh15/PHHOXToEI8//jhlZWW6RzFburK34dpA5toz1femrmyt0Wi= Ij4/n3LlzeuP68MMPG227aNEiRo8eTXFxMd9++y2LFy9m1apVODs7AxAREaGbvAkhhLgzyOSlid= RqNXV1dbqfW2qF5xtXV75RY6skh4aG8pe//IWhQ4fqPSG2KSt7W9qeqb43td8ZGRksXLiQvn3rv= 3Fy8uRJvvrqK8XJi42NDba2tnh6evLkk0/y0UcfkZmZyYABAyxqS7RPzVlvp6U1dW2j1tSessCd= 9cTWmyF5zGvNPDJ5aSJ/f3+WLVtGSEgIbm5uRis8f/DBB/j5+eHh4UFaWhohISF6qwTfqGF1ZU9= PT5KSkvjzn/+suFr23Llzeeihh+jatSsnTpzgpZde0r3v5uZGcHAwH374IdHR0brXlbIEBgYSGx= vLoEGD6NSpE6mpqYSEhOhWnXZ0dDTbnqm+K7UVGhpqtEIy1E+AkpOTmT17tu61AQMGsHTpUtLS0= ggKCtKbnJWXl1NTU0NVVRXfffcdjo6O+Pj4tMCeFG3pob4T2jqCzuXLl+nWrVtbxwDaVxYh2jO7= 119//fW2DmFNvL29m7TCc1JSkt4qwQ3fvjG1urLh6sfmVmhu4ObmRm5uLiNGjNC9ppRFaWVvV1d= XvVWnvb29TbZnqu+zZs3C1tbWaGVrwxWSO3TowOzZszl06BBOTk661aQ///xzDh48yJ49e+jcuT= OBgYHExMTw7bff8u9//5tNmzbx9ddfU1VVxZ/+9Cf69Omje//AgQPY29szePBgoP7ZMQsWLEClU= ulNgkT70LCq9LRp09o0x41KS0vp2LFjW8cA2lcWkDyNkTzmtWYeeUhdG2nJ1ZVzc3O5cuUKw4cP= b4FkQrSehofUtZdlIqB9Xe1oT1lA8jRG8pjXmnnaz4erd5gbV1duDq1Wy6FDhxg0aFALJRNCCCH= aN5m8tIGWWl05KSmJ6dOn4+/vb9ED44QQQojbgdyw2wZaanXl8PBwwsPDmx9IiDtYe/qGRnvKAp= KnMZLHvNbMI1dehBBCCGFVZPIihBBCCKsikxchhBBCWBWZvAghhBDCqsjkRQghhBBWRSYvQgghh= LAqepOXbdu2oVKpuHjxou61devWkZeX12oBlNpsKzfT19Yen1ultfaD0vhkZmby1ltvGa1ofau1= 9r5LSEhApVJRUFBgcpv2dPzfqVxdXds6gk57yiJEe6b3nJfIyEh+/PFHvQ1mzpzZqgGU2mwrN9P= X5o7P0aNHCQkJaVYdLaG19oPS+Fy5coVXXnkFBweHFm/PHMOxbu1je9asWZw9e9bsNu3p+L+Vln= 7/P20dQae2tlZxRfe2YJhl0ZiP2jCNEO2X0cdGDQsH3kpt0WZ7UFZWxueff97WMXRu1X4IDQ3lr= rvuuiVtNWirsbbkycd36vEv2r876aFnN0PymNeqD6l76qmnWLJkCaWlpUZvNlzSzszMBODYsWOo= VCrdfxMmTKCgoIC4uDgM65k3bx6TJk1i69atzJ07l7q6OqB+QbYZM2YQHR3Nr7/+anHQiooK3nj= jDWJiYjh16pTudaX69uzZw7PPPqvLuXz5cgDGjBnDrFmzAFi2bBkqlYqysjLFvi5YsIDx48dz/v= x5Zs6cyapVqygsLCQ6OpqXX36ZgoICozJKeebPn09UVBRnz55l2rRprFmzRrftunXrSE1NRaVSk= ZubC8Dhw4eZMWMGs2fPJjIyEpVKxdatWwFYvHgxUVFRRmOjNAYzZsxApVKxYcMG3f6YNWsWlZWV= ivvLkKmxMlf+4MGDzJw5k1mzZvHTTz8pjs+N/Tt48KDudVPjZFinuXqaMtaG2cyVbepYHD9+nOn= Tp/P222+j0WjM7iclkydPZt68eSQlJREZGcn69etpWD9V6bwyNaagfC4o1aGUzdQ5Z649IYS4FW= w3b96Mu7s7GRkZRm9GRkYyatQo3c8ODg7s2rWL5ORkXnjhBWJiYrh+/Tru7u4Y1hMbG0t5eTlhY= WG8//772NrakpOTQ35+PmvXriU8PJwtW7ZYHPTMmTOEhoYSHR1NTk4OgGJ9165d44svvmDNmjXE= x8fTr18/oqOjAfjkk0909c2dOxcvLy+TfX3rrbfQaDRUVVURFxdHeno6aWlpLFmyhODgYE6fPm1= URinPm2++SWVlJVqtltWrV7N//37dL7k5c+bg6+tLcnIyfn5+5ObmkpiYyMqVK1m4cCFVVVX069= ePiIgIAMLCwkhISNAbF1Nj+s4779C5c2cmTZoEwPTp04mJiSEnJ0dxfxkyNVamymdnZ7Nv3z5Wr= lxJVFQUycnJRuNj2L8VK1aQnZ0NoDhOZ8+eNarTXD1NGWvDbObKNmUsCgsL2bhxI++++y5RUVGk= p6eb3U9KVq9eTWlpKQEBASQkJHD06FHS0tIA4/PqypUrJsfU1LlgWEdubq5iNqVzztw+FEKIW8X= +yy+/JDk52eR9Fzde0h4yZAhQ/5eXs7Mzw4cPB8DLywvDeuzs7HBxccHb21tXPiMjg/j4eOLj4w= Ho3r27xUG7d+/Opk2bAHTr+SjV94c//AEfHx8qKyvx8PBArVaj1WqxsbHBw8NDV5+zszOdO3c22= VcHBwfs7OwYMGAAAP3796dPnz44OzvTrVs33c2mN5ZRyvPiiy/i5OTEwIEDda+ZulH15MmTPPDA= A7i5ueHm5sZTTz1FXl4ehw4d4vHHH6esrAx3d3e9MqbG1Nvbm8jISDIyMhg+fDharRY/Pz9AeX8= ZMjVW/v7+iuXT09MZNWoULi4uhIWFERYWZjQ+hv174oknSE9Pp2fPntjb2xuNk6k6TdUzduxYi8= faMJtS+w1lmzIWKSkpjB49mk6dOtGpUyeCg4PN7icljo6OdOzYkbvvvhuA8ePHk5WVxZAhQ4zOK= 3Nj6urqqnguGNZhKpvSOWeuPSGEuFXs7733Xt0laUtcvHiREydOMGfOHN3PCQkJTJkypdF66urq= iI2N5b777mtyUF9fX5YsWcIPP/zAokWLeOedd0zWN3bsWGJjYykpKWHBggUt8rmbJXUo5WnKN2q= 0Wi1FRUW6nz09PXFzc+Pbb79l6NChdO3a1aI2G4SHh7N27VoCAgJ0v4Cbsr+UmCqv0WhQq9VN7p= +dnZ3J7U3V2dR6WovSWKjVat1HpPDf46Y5x76Dg4PJG0rNjYWjo6NF54KpbErnXHsZeyHEnc22V= 69eFBYWUlNTg0ajobCwkOLiYgDdzyUlJQCUlpayefNmnn/+eWxsbEhJSSElJYWgoCBurAeguLiY= yspKvcYCAgLYsmULly9fpry8nMOHDxu1aUpKSgp5eXk88sgj+Pr6UlBQoFhfTU0NaWlprFixgnX= r1umuFkH9X9e5ublcu3aNn3/+GbVaTW1trWJfi4uLqa6upqKiAo1Gw/Xr1ykuLtb9411UVERtba= 1eGaU8paWlqNVqKioqqK6upqioSPdxhK2tLWq1murqagAGDx5MYmIiv/zyC2q1mhMnThAaGkpwc= DAffvghQUFBRuOi1GaDLl264O7uzv79++nduzcAqampivvLcD+YGitT5QMDA9m2bRu5ublUVFTo= 7duG8VHqX8P+URqnbt26GdVprp6mjLXSsW2qbFPGwt/fn8TERHJyciguLtYdJ6b2k6njPzMzk6y= sLIqLi0lKSmLQoEG64/LG88rcmJo6FwzrMJVN6Zwz1541cLRzYvLQPxI9+u9Ej/47zwz7s977k4= JfJHr033k1Yh3TQhbj4tjRqPzU+xbwl/A1LBidwHP3L8TRzsls+ZCeY/jTqPeJHr2WxwZO19Uze= 8RSnhn2p9bvtBC3IbuePXu+7u/vz5EjR7h69SqJiYns3r2bSZMm8c0335CYmMiePXuYMmUKGzZs= YOfOnWzevJkNGzaQnJzM888/T0JCAiUlJTTUExISwl//+ldycnK4evUqI0aMAOr/SrOxsWHFihW= kpKQwduxYkpKS+PLLL3VtmvrmRXl5OVevXmXx4sUMHTqUESNGKNbn6urKZ599xvLly/n000/5+u= uvCQwMxNfXF3t7e6qqqli/fj3Dhw/n1KlT/OMf/2DixIns2LFDr69Lly4lKyuLn376iYKCAnbu3= MmePXvo0aMH7733HsePH6e8vJx//vOfujJeXl5GeWJjY8nKyiIrK4uMjAwOHTrEgQMHmDx5Mra2= tmRnZ/P9998TEhKCt7c33t7exMXFkZSURFRUFIGBgbi5uZGbm6sbxxspjYGbm5ve+1qtVvcRhKO= jo+L++uabb/T2g4uLi+JYRUZGKpb38fHBxsaGuLg4MjIyGDduHLt379Yb086dOyv2D+C1114zGq= f09HSioqL06rzrrrvw8PAfK0uyAAAgAElEQVRQrEepDlNjbXhsv/766ybLmjpulMZi/Pjx2NjY8= MEHHwBQVFTEpk2bmDVrFra2tkb7KTEx0ej4r6qqIjU1lby8PD7++GOeeeYZ3cT11Vdf1TuvTI0F= 1F+VUToXVq5cqVeHqWPI1Dlnqj1LfPrppwD0faiTxWVaUnj/3+Jk70LSz1/Qp/NAfDreTY2mmtz= i8/ymz3iG9RhF+uUjnMs/xaCuD3KXoxs//5qqK//IwOcI8B7C4cx/cL3iKv29h9LBwZnzBekmy/= fsHEhlTTl5xVn07BTI0ezvmXTvS7g7d+arU2upqCnT1V9XV4et7X+/BPpQ34m3dHwMqdXqdvXsG= clj3p2Ux0Z7M58dtGMlJSWcO3eOoUOHAvWTnuTkZB599NE2TnbzcnNzuXLliu4eI3F7Ky4uJiYm= hlWrVjWrnvZ4LqhUKgDGLOrbZhkaPHf/Qrp79OPQhV3869yXTL0vmu4e/Yjfv4DSquvMD4/nenk= +Hx15XVfm9yGL8OnYg+V7Z+Pi2JF5D8dxqegcm44vM1leq9WgRUtxRSF+7n1JvfQvQvs8yj8ztp= J6KVkvU3t7zkteXh6+vr5tmuFGkse8OynPbbc8wN69e8nJyUGtVlNTU0NWVpbivSLWQqvVcujQI= d3HBuL2V1JSQklJie4jrpt1u50LLc3DpQsabS0ZeSkAdLB3QVNXS2nVdQBqNTU42utfCa6urcTe= 1p7hPcIJ9BmGFi0Odh3Mlv8l/z90vqsr/boMJvPaWe7vNYazeceNJi5CCMvddpOX0NBQMjIymDp= 1KnPmzCEvL8+qPpO/UVJSEtOnT8ff39+ih50J61ddXc3vfvc7MjMziY2NbVZdt9O50NKeCv4Dro= 7unM9PJ7foPGB8U74WrdFN7Sk5+yiuvMbo/pMZ2e9JADTaWrPlD5zfyYqkl1i+9w/4uvWkuKIQN= 6dOLIhIYO7D79K784DW6qYQt6328UzsFuTr68uCBQvaOkaLCA8P131FVdwZHB0ddc+zaa7b6Vxo= SSP7PUF/76EUlF3m6/QPda/X1FZhZ2tPxw6elFZdx8HOkZLKQr2yP/+aqrsH5m4Pf6bev4CSims= WlZ8Y9AJuTp58e/oTnr73JX74eTsP9n6EgV0fILPQ/DISQgh9t93kRQghTAnqFkpIz7GUVhWReC= qBas1/v3WVV5qNn0dfRvQdT1l1KY52TuRcP8d9PSMID4jk9JV/k5F3AicHF0qrilD5P4Wmrpb0y= 4fNlgcYdvco+vsM4+D5byivLgVsqNNq0AJ1dRqFpEIIc2TyYqUSEhLYsmUL27dv13tS8I22bdtG= fHw8GzdupEePHorbVFdXs3v3biZO1P9WQ0xMDPv379f97Ovry8iRI5k6dSpubm5677u6uhIcHMy= 0adPw9/dvoR4K0fICfYbhYOeIg10nng9dAsClonNsPPY2+37egbdrdwb7jQAtXCg8w96fPuf+nh= G68t08+vBAr7HY2thRVl3CkczdnCv4D4DJ8gC/6fMYFwpOczhzFwC5xecZFRCJuqqItNwDt3gUh= LB+t923je4k8+bN47XXXjM5eQF44403mDZtmsnJy4kTJ3j//ff5+OOPjR6Etn79enx9fRk3bhzX= rl1j/fr1ODk5MX/+fN37fn5+hIWFsXPnTnbs2MHGjRtxdnZuuU6K20p7+rZRA1lV2rQ76dsrN0P= ymCffNhKKWmLF4rKyMoYMGcKZM2dMtuHg4ICPjw8TJ07k6NGjeu87ODjg7OxMREQE+fn55OfnW9= 4BIYQQ4ia0jz83hMWOHz/OmjVrCAgI0FuxGOpXLd64cSNeXl7Mnz9fb10pJfn5+fTo0YMuXbqQl= JSkW4fnRrW1tWi1WkpLS9m7dy+hoaFG79fU1HDkyBE8PDzMXgUSQgghWoJcebEiplYshqatWtzg= 0qVL9O7dm3vuuYcLFy4oriO0bNkywsLCmDBhAunp6UydOlXv/X379vH73/+e3bt387e//Q0XF5f= md1QI0S60xLpwLUnymHcn5ZErL1bE1IrF0PQVuzUaDfHx8Zw7d06v/ocfflhvu0WLFjF69GiKi4= v59ttvWbx4MatWrdLd1xIREUFERARCCCHErSKTFytiasViaPqqxRkZGSxcuJC+fetvnDx58iRff= fWV0eTFxsYGW1tbPD09efLJJ/noo4/IzMxkwAB5sJYQQoi2IZMXK+Lv78+yZcsICQnBzc1Nt2Ix= 1K8M/MEHH+Dn54eHhwdpaWmEhIQorlisVqtJTk5m9uzZutcGDBjA0qVLSUtLIygoCDs7O6B+PZy= amhqqqqr47rvvcHR0xMfH59Z1WtyW2vpbNDdqT4vZtacsQrRnMnmxIoMGDWLixIksWLCAxx57DH= d3d1588UV27NhB7969GTduHNHR0XTr1o158+axc+dOjh07xrFjx/jmm2/o2LEjAHPnzuXChQt4e= noyZcoUALZv305BQQF//OMfeeWVV0hJSdE9x+W9997D1dWVe+65h2XLltG5c2e957xcvXrV6F4Y= IaxFWVlZu5kwtKcsQrRn8pwXIcQt0/Ccl5ZaAqElXL16td1cTWxPWUDyNEbymNeaeeTbRkIIIYS= wKjJ5EUIIIYRVkcmLEEIIIayKTF6EEEIIYVVk8iKEuKO1p+8stKcsIHkaI3nMa808MnkRQgghhF= WRyYsQQgghrIpMXoQQQghhVWTyIoQQQgirIpMXIYQQQliVFl/b6JVXXuHixYvs2LGjpau+KevWr= WPChAn4+vq2SfsJCQls2bKF7du34+Xl1aQ8Tc2+bds24uPj2bhxIz169Ghu9FbVEuNgOLaNaer2= zWHJvriVeRpjmLe1j6UD579u8TpvVl1dHb+UtY+/49pTFpA8jbmd8zzUd0KL1NNaWnzysmzZMp5= 55pmWrvamzZw5s1nljx49SkhIyE2XnzVrFmfPnr2pPIbbNpYlMjKSH3/8sekhbwHD7M0ZhwaGY9= uYpm7fHJbsi1uZpzGGeVv7WDpwfmer1d1UtbW12Nu3jzVq21MWkDyNuZ3ztPfJS4tPGe3s7Fq6y= jZTVlbG559/3ux6nJycblmWDh06NLutltZS46ikqWPbEvvCUpbsi1uZpzGGedvjsSSEEAC2e/bs= 4dlnn0WlUqFSqVi+fDkA8+bNY9KkSWzdupW5c+dSXl5OXFwcTz31FEuWLKG0tNRom7q6Ol3FGRk= ZPPfcc6xdu1avweTkZGbMmEF0dDS//vqrUR2WtLtgwQLGjx/P+fPnmTlzJqtWraKwsJDo6Ghefv= llCgoKgPpL4SqViszMTJPtz58/n6ioKM6ePcu0adNYs2aNbtt169aRmpqKSqUiNzeXyspKoywVF= RW88cYbxMTEcOrUKV3Z48ePM336dN5++200Go3JPKbG33BbS7IoMewvYJRZaRtz49LAVIaDBw8y= c+ZMZs2axU8//WSU3bBvM2bMQKVSsWHDBt2xN2vWLJNjpjS25vKY2l5pfAzH5rnnnkOlUrF161Y= AFi9eTFRUlEXjbEpz8pjra2PnUl1dHYcPH2bGjBnMnj2bgwcPms1pqDllhRCiJdl+8cUXrFmzhv= j4ePr160d0dDQAsbGxlJeXExYWxvvvv09ubi7u7u5s3rwZd3d3MjIyjLaxta2/kFNVVQXA6tWrS= U5ORq1WA5CTk0N+fj5r164lPDycLVu2GNVhSbtvvfUWGo2Gqqoq4uLiSE9PJy0tjSVLlhAcHMzp= 06eB+kvfo0aN0nVWqf0333yTyspKtFotq1evZv/+/bpfenPmzMHX15fk5GT8/PzIyckxynLmzBl= CQ0OJjo4mJycHgMLCQjZu3Mi7775LVFQU6enpinmuXbuGqfE33NaSLIaU+gvoZT516pTiNubG5c= b6DTNkZ2ezb98+Vq5cSVRUFMnJyUbZDfv2zjvv0LlzZyZNmgTA9OnTiYmJURwHU2NrKk9j2xv23= XB/xsfHM3DgQCIiIgAICwsjISHBonFW0tw85vra2Ll05coVEhMTWblyJQsXLmTFihVkZ2ebzHqj= 3Nzcmy4rhBAtzd7Hx4fKyko8PDxQq9VotVpsbGyws7PDxcUFb29vAPz9/fHy8uLLL78kOTmZkJA= Qo20adOjQgcDAQAC6detGTU0NUH81Jj4+nvj4eAC6d+/OnDlz9OqwpF0HBwfs7OwYMGAAAP3796= dPnz44OzvrtdeQpYFS+y+++CJOTk4MHDhQ99qN5W+klKV3795s2rQJgPDwcABSUlIYPXo0nTp1o= lOnTgQHByvmcXV1xdT4G25rSRZDSv1t+N+GzJ07dyY2NtZoG3t7+0bHRSlDeno6o0aNwsXFhbCw= MMLCwhTH88a+eXt7ExkZSUZGBsOHD0er1eLn56e4rbmxVcpjbnul8Zk8ebLe/nR2dubxxx/n0KF= DPP7445SVleHu7m7ROCtpbh5zfTU8dwx/PnnyJA888ABubm64ubnxxBNPkJ6eTs+ePU3mbdCcsk= II0dLsx44dS2xsLCUlJSxYsED3i9PQxYsXSUhIYMqUKU1ar8DW1la3fV1dHbGxsdx333269w0vm= 99Mu6YyG1Jq39RExdIsvr6+LFmyhB9++IFFixbxzjvvoFar9T5CM5XP0dERS8ffkiyGlPprmDkx= MZGlS5cSGhpqUbuNZdBoNLorbU0RHh7O2rVrCQgIwMPDw+R25sZWKY+57U2Nj+H+DA0N5S9/+Qt= Dhw6la9euRplM1dPU/Jbm6dChw02dj1qtlqKiIt3Pnp6eFt+j1pyyQgjR0mzT0tJYsWIF69atY8= iQIbo3iouLqays1P2cmppKUFAQvXr1orCwkJqaGqNtGsqVl5dTXl5OdXU1RUVFuo8bAgIC2LJlC= 5cvX6a8vJzDhw8b1WFpu9XV1VRUVKDRaLh+/TrFxcW6f2CLiorQarVoNBoKCwspKSkx2X5paSlq= tZqKigqjvLa2tqjVaqqrq01mSUlJIS8vj0ceeQRfX18KCgrw9/cnMTGRnJwciouLKSoqora21ih= PTU0NpsbfcFtLsjSUKS4uNtlfQC9zjx492Lx5s9E25sbF3L4JDAxk27Zt5ObmUlFRweHDh42yG/= YNoEuXLri7u7N//3569+5tchxMja2pPOa2Vxofpf3p5uZGcHAwH374IUFBQUYnkVI9hvuiQUvkM= XdemDuXBg8eTGJiIr/88gtqtZoTJ07ojjnDvIY/mysrhLDM/T3H8NLI5bwasY7o0X8npOcYAAZ1= fZBFYz5k0ZiP/u+/D+nm3seo/Mh+TzBXFceiMR/Sw7O/3nuTgl9k0bj1vBqxjmkhi3Fx7EhIzzH= 8adT7RI9ey2MDpwPgaOfE7BFLeWbYn1q/w63Irl+/fq8vX76cTz/9lK+//prAwEB8fX159dVXyc= nJ4erVq4wYMQJHR0cSEhIoKSnB39+fI0eOsGvXLi5duqTbBuC1117j4sWLZGVlcebMGY4cOcLJk= yd58skn8fT0xMbGhhUrVpCSksLYsWNZunSpXjuWtPvDDz+QnZ3NTz/9REFBATt37mTPnj306NGD= 9957j+PHj/Pggw/yr3/9i8TERPbs2cOUKVPw8vIyaj82NpasrCyysrLIyMjg0KFDHDhwgMmTJ2N= ra0t2djbff/89ISEhuLq6GmUJCgqioKCAxYsXM3ToUEaMGIG3tzd1dXV88MEHABQVFbFp0ybs7O= z08tja2vLZZ5+hNP47duzQ29bBwaHRLFevXiUxMZHdu3czadIkfHx8jPrr5uZGeXk5V69eZfHix= TzwwAMMGzaMd999V2+b1157zeS4NFDaN48++igODg7ExcWRkZHBuHHjcHV11cv+zTff6PWt4S94= T09PtFotd999t64Nw3Ho2rWr4tj+9re/Vcwzfvx4bGxsFLdXOh7t7Ox0Y9OwP21sbHBzcyM3N1d= 3nN9IqZ6kpCS+/PJL3b5o+OjL1LHR1DyWnI+G55KHhwfe3t7ExcWRlJREVFSU7uPdxMREvbz/+M= c/9H728fExWbYpPv30UwD6PtSpyWVbS11dne5+vbbWnrKA5GlMU/J43dWVCUEvUFZVzK4zn5JZc= Iar6kuUVl2nu2c/+nUJZs+Pm/gi9X0OnP+a0qrreuXv8bmP3/QdT0nFNTo6eXI27yjXK/IB+E2f= 8QzrMYr/5B7iXMF/GNT1Qe5ydKNn50Aqa8rJK86iZ6dAjmZ/z6R7X8LduTNfnVpLRU2ZybwP9Z1= 48wPzf9RqNa6urs2uR4lNSkqKdujQoQCUl5eTnJzMo48+2iqNCX0lJSWcO3cOGf/2Lzc3lytXrj= B8+PC2jmLVVCoVAGMW9W3bIDdoT8/qaE9ZQPI0pil5xgROYXiPcHad+YRTufrf1ht6t4px9/yOP= T9u4mROssk6Onbw5NGBv6evVxCfp8RxofAMAFPvi6a7Rz9W7fszFbWlzA+P53p5PlqtBi1aiisK= 8XPvS+qlfxHa51H+mbGV1Eum2wFYNOYji/plTl5eXqs9INY2JycHtVpNTU0NWVlZip/pi9axd+9= eZPzbP61Wy6FDhxg0aFBbRxFCWCkP5y4APNzvSV6NWMfch98l2O8hAOq09ffBjbvnd0SP/jvTH3= iNjh08jeowvBrToIO9C5q6Wkor69+v1dTgaN+BX/L/Q+e7utKvy2Ayr53l/l5jOJt3vNGJizWwz= cjIYOrUqcyZM4e8vDz5HPsWCg0NRca/fUtKSmL69On4+/u3qwfKCSGsi51t/cfjJ3OS+fb0xzg7= ujL07ocBSLu0n0/+/SYfH1nCxeu/0NWtF2EBkyyu2/CLHlq0aLVaDpzfyYqkl1i+9w/4uvWkuKI= QN6dOLIhIYO7D79K784CW66CCpny5p6nsFyxY0GqVC/N8fX2R8W/fwsPD9b6iLIQQN6NGU/+Fhb= zSi5zLP8XowGdwsPvvH0RXSrIA+OXXNPp0Hoizg+X3itTUVmFna09HJ08qaktxsHOkpLJQ9/7Eo= Bdwc/Lk29Of8PS9L/HDz9t5sPcjDOz6AJmF7WOJkqZqPx8eCiGEELepvJJsAryHENT1QTycvXC2= dyG36JzeNp1cfAjwrr/6fqUki/t6RhAeEMnpK//m29Mfm667NBs/j76M7DeRilo1jnZO5Fyvr3v= Y3aPo7zOMg+e/oby6FLChTqtBC9TVmX9USXsmkxcrYckKxJasBFxdXc3u3buZOFH/TvKYmBj279= +v+9nX15eRI0cydepU3Nzc9N53dXUlODiYadOm4e/v30I9FEKI29fBC99wt2cA/t7B+HsHc6Uki= 30/bwfgyeDZ3ONzH6Clsracs3nH2H8ukft7RujK9/MazG+HztP9HDXsT2QWnmFLShz7ft6Bt2t3= 7u1efw/NhcIz7P2pfj253/R5jAsFpzmcuQuA3OLzjAqIRF1VRFrugVvU+5Zno23ND6VEi5o3bx6= vvfaayckLwBtvvMG0adNMTl5OnDjB+++/z8cff2x0l/z69evx9fVl3LhxXLt2jfXr1+Pk5MT8+f= N17/v5+REWFsbOnTvZsWMHGzduxNnZueU6KW5r8m0j89pTFpA8jbmd87TEt42uXLnSal9CaT9fm= BeNsuSG0cZWAi4rK2PIkCGcOXPGZBsODg74+PgwceJEjh49qve+g4MDzs7OREREkJ+fT35+vuUd= EEIIIVpA+5kyCkXHjx9nzZo1BAQEKK5AvHHjRry8vJg/f77RGlOG8vPz6dGjB126dCEpKUlvXZ0= GtbW1aLVaSktL2bt3r9GyAbW1tdTU1HDkyBE8PDzMXgUSQgghWoNceWnHmroCcWMuXbpE7969ue= eee7hw4YLiGkTLli0jLCyMCRMmkJ6eztSpU/Xe37dvH7///e/ZvXs3f/vb33BxcWl+R4UQQogmk= Csv7VhTVyA2R6PREB8fz7lz/727PSUlhYcfflhvu0WLFjF69GiKi4v59ttvWbx4MatWrdLd1xIR= EUFERARCCCFEW5HJSzt2MysQm5KRkcHChQvp27f+RsmTJ0/y1VdfGU1ebGxssLW1xdPTkyeffJK= PPvqIzMxMBgxo3YcZiTtLS6yb0lLa03o57SkLSJ7GSB7zWvUhda1Ws2g2f39/li1bRkhICG5ubk= YrEH/wwQf4+fnh4eFBWloaISEhiisZq9VqkpOTmT17tu61AQMGsHTpUtLS0ggKCtItjlheXk5NT= Q1VVVV89913ODo64uPjc+s6Le4ID/Wd0NYRdC5fvky3bt3aOgbQvrKA5GmM5Gk7MnlpxwYNGsTE= iRNZsGABjz32GO7u7rz44ovs2LGD3r17M27cOKKjo+nWrRvz5s1j586dHDt2jGPHjvHNN9/QsWN= HAObOncuFCxfw9PRkypQpAGzfvp2CggL++Mc/8sorr5CSkqJ7jst7772Hq6sr99xzD8uWLaNz58= 56z3m5evWq0b0wQgghxK0iz3kRQtwyDc95SU5ObtMcN2pPf622pywgeRojecxrzTzt58MxIYQQQ= ggLyORFCCGEEFZFJi9CiDtae/rkvD1lAcnTGMljXmvmkcmLEEIIIayKTF6EEEIIYVVk8iKEEEII= qyKTFyGEEEJYFZm8CCHuaO3pJsf2lAUkT2Mkj3lyw64QQgghxP+RyYsQ4o7m5ubW1hGEEE0kaxs= JIW65pd//T1tH0KmtrcXevun/FC4a81ErpBFCWEKuvAghhBDCqsjkRQgh2ok76YbLmyF5zLuT8s= jkRQghhBBWRSYvQgghhLAqMnkRQgghhFVpkcmLVqslKSmJOXPmMH78eJYsWUJmZmZLVG2RdevWk= ZeXd8vaa0mtlb01x2Tbtm2oVCouXrzYKvXfjPaYyZBSxvZ+7Crly8zM5K233qKmpqaNUikb2e8J= 5qriWDTmQ3p49jd6f0LQCywc8yHzw+N1r4X0HEN0xBqiR6/lsYHTAXC0c2L2iKU8M+xPtyy7EKJ= pWuSr0l988QU//vgjf/3rX/Hw8OD06dMsXLiQt99+m969e7dEE2bNnDmz1dtoLa2VvbF6jx49Sk= hIyE3VHRkZyY8//nhTZVtLa2VqzjgZUsp4K47d5vRBKd+VK1d45ZVXcHBwaG60FnOPz33c230kJ= RXXcHV0x95W/5+2bu59CPC+l5KKQlw7eOheH9D1fq6V/0pp5TX6eg0C4InBs3C068B3P26+pX0Q= Qliu2Vderly5wrp165g9eza+vr44OTkxfPhwnn76aT7++OOWyChaWFlZGZ9//nmz6ujQoUMLpWk= 5LZ2pJcbJ0K0et9boQ2hoKHfddVeL1tlcP149zidH3qSiRq34/sh+T1BaWURp1XW9122wAa0WLV= q0Wi0j+jxOr86BHDj/DdfKr96K6HrupG+L3AzJY96dlKfZk5f09HQCAgLw9fXVez0oKIgDBw5QU= lLCvHnzmDRpElu3bmXu3LnU1dWxZ88enn32WVQqFSqViuXLlwNQWVlJXFwcTz31FEuWLKG0tJT5= 8+cTFRXF2bNnmTZtGmvWrNG103ApvuFjqmPHjunqVKlUTJgwgYKCAqM6lTIBJCcnM2PGDKKjo/n= 111+pqKjgjTfeICYmhlOnTgEwefJk5s2bR1JSEpGRkaxfv163k5TyAxw8eJCZM2cya9YsfvrpJ8= XsAIcPH2bGjBnMnj2bgwcPAihmmDFjBiqVig0bNgAwb948Zs2apVivYV8TEhJITU1FpVKRm5vLm= DFjdGWXLVuGSqWirKzMZF+UNDZuTR0zw8zl5eUWZzG3Hxoo7X/DPqxbt05vnJTKKO0vS9pX2k8L= Fixg/PjxnD9/npkzZ7Jq1SoKCwuJjo7m5ZdfpqCgQHGsAZPniGEfzOUyPEYtPT7NtX8rGU5MGgR= 4D6Fnp/785/Iho/d+yf8PXq7d6NdlMJnXznJ/rzGczTtO6qXkVk4rhGiOZk9eSkpK6NKli9Hr7u= 7uQP1ffrGxsZSXlxMWFsb7779PUVERX3zxBWvWrCE+Pp5+/foRHR0NQE5ODu7u7mzevBl3d3cyM= jJ48803qaysRKvVsnr1avbv36/7RzcyMpJRo0bp2nVwcGDXrl0kJyfzwgsvEBMTw/Xr143qNMxk= a2tLTk4O+fn5rF27lvDwcLZs2cKZM2cIDQ0lOjqanJwcAFavXk1paSkBAQEkJCRw9OhR0tLSTOb= Pzs5m3759rFy5kqioKJKTkxWz5+bmkpiYyMqVK1m4cCErVqwgOztbMcM777xD586dmTRpEgDTp0= 8nJiZGsV7Dvr788sv4+vqSnJyMn58fn3zyiW7buXPn4uXlZbIvSiwZt6aOmWHm3Nxci7LcmMnc9= kr1G/Zhzpw5euNkWObKlSuK+8vSsTPcT2+99RYajYaqqiri4uJIT08nLS2NJUuWEBwczOnTpxXH= GjB5jhj2wVQupWPU0uPTXPvtwYO9HqGovIAjmf8weu/A+Z28/d1Mlu/9A75uPSmuKMTNqRMLIhK= Y+/C79O48oA0SCyEa0+x7Xtzc3Lh8+bLR62VlZQB07NgROzs7XFxc8Pb2BsDV1RUfHx8qKyvx8P= BArVaj1WqxsbHB398fLy8vvvzyS5KTkwkJCcHe3h4nJycGDhwIQPfu3fVuFrzxUvyQIUOA+r8Qn= Z2dGT58OIBRnYaZADIyMoiPjyc+Pl7XzuTJk9m0aRMA4eHhADg6OtKxY0fuvvtuAMaPH09WVhZD= hgxRzJ+ens6oUaNwcXEhLCyMsLAwxewnT57kgQcewM3NDTc3N5544gnS09MZPny4UQZvb28iIyP= JyMhg+PDhaLVa/Pz8FOtV6uuNPDz+ew+As7MznTt3BlDsixJLxq26urpJY2aY2dIsDRrb3rB+pT= 4YMixjan/17NnT4rw37icHBwfs7OwYMKD+F2b//v3p06cPzs7OdOvWjZqaGpM5TZ0jTk5OFo2Lq= WPUkuOzZ8+ejZ6jbamjkyduTp30Huc/9+F3ef9ff9b9PDHoBdycPPn29Cc8fe9L/PDzdh7s/QgD= uz5AZuHZtpBhxzEAACAASURBVIgthDCj2ZOXgQMHcu7cOXJycnS/mADOnDmDSqXC1dUVjUajV8b= R0ZGxY8cSGxtLSUkJCxYswMbGBoCLFy+SkJDAlClTbvrzsosXL3LixAnmzJnTpDrr6uqIjY3lvv= vu03t9yZIl/PDDDyxatIh33nnHqJyDg4NubRSltjQaDWq18mfxN9JqtRQVFel+9vT0xM7ODl9fX= 6MMHTp0IDw8nLVr1xIQEKA3AWkpLTluCxcu1HuvsTG72Sw3u71SHxr75Wtqf91M+0oazonGcjaF= qVyWHKPm+tuerd7/F93/f+7+V+nq1ltv4nJ/r9H09xnGwfPfUF5dCthQp9WgBerqNMYVCiHaXLM= /NvLz82P69On8/e9/5/Lly1RWVnLs2DG2bt3K9On1Xz0sLi6msrJSV6ampoa0tDRWrFjBunXrdF= dLAFJTUwkKCqJXr14UFhZSU1NDaWkparWaiooKqqurKSoq0l2S1mg0FBYWUlJSAkBpaSmbN2/m+= eefx8bGhpSUFFJSUozqNMwEEBAQwJYtW7h8+TLl5eUcPnyYlJQU8vLyeOSRR/D19dXdd5CZmUlW= VhbFxcUkJSUxaNAgk/kDAwPZtm0bubm5VFRUcPjwYcXsgwcPJjExkV9++QW1Ws2JEycYMmSIyQx= dunTB3d2d/fv3632ry7Bew77a2tqiVquprq4G6v9qz83N5dq1a/z888+o1Wpqa2sV+3Jj/cXFxR= aP27Vr15o0ZoaZTWUx7HNDpsa2N6xfqQ+G42RYxtT+MtW+YUal/VRdXU1FRQUajYbr169TXFysm= zQUFRXh7+9vlLPhuFc6Rwz7YGpclI5RS49Pc+3fKv28BrNozEf09QoCIGrYnxS/6qyp01Cn1Z+Q= jOj7OBcKTnM4cxeXis6RW3yeUQGR1GqqSMs9cEvyCyGaxu71119/vbmVBAUFUVNTQ0JCAh999BF= VVVW88sor9OrVC4BXX32VnJwcrl69yogRI9BqtXz22WcsX76cTz/9lK+//prAwEB8fX1xdHQkIS= GBkpIS/P39OXLkCN999x3Z2dlkZWWRkZHBoUOHOHDgAJMnT2bHjh0kJiayZ88epkyZwoYNG9i5c= yebN29mw4YNJCcn8/zzzxvVuWvXLi5duqTLBPV/SdrY2LBixQpSUlIYO3YsdnZ2XL16lcWLFzN0= 6FBGjBhBVVUVqamp5OXl8fHHH/PMM88QFFT/j6ZS/kcffRQHBwfi4uLIyMhg3Lhx3HXXXUbZO3f= ujLe3N3FxcSQlJREVFUVgYCDl5eVGGRr+Kvf09ESr1epd9TKsd/HixXrjb2trS3Z2Nt9//z0hIS= G4uLhQVVXF/2/v/uOiqvI/jr/4KRIMCIVDZP4KZdfQFMsiq1HK1EgtJS1/JG6p2yrYSpi6mdRuS= bCuZqSopZuVqWVYpq5JUSqGZmpkoqlAiKICwjj8/nG/fyjzZWBmQBRmiM/z8fDxcObee+77nHuH= OXPunTmrVq2if//+HDlyhG3bthESElKvLgMGDODLL79k8+bNbN++ndGjR9OxY8cG2y0gIOCa2qz= u8TG2Ts0lRYCEhASDTC4uLmbXr3tOGjv2bm5uBu20YMECg23c3d2NHi9TdTp//jwJCQn6jF9++a= XBcXrjjTfIyMjg+PHj5ObmsmXLFnbs2MHtt9/Of/7zHw4cOMCwYcO45ZZbDHKqVCpeeeUVMjIy6= r1Gxo0bZ1AHU+1Scwxrn6Pbt29v1PkJmNz/2LFjDf5WrF27FoDuD3hc758dA/nF59l96guDf7+c= 21dvvdSzySSnf2Xw3N6TX3H84kH94yPZu9lz+kv2Z35t8iZggAe6j7xxFbiqoKCgWUZRm0rymCd= 5zGvOPDaKBb5bpdVqOXnyJP369QOguLiYpKQkhg8f3tJRmqSwsJAFCxawdOlSS0dpNaTNBIBGow= FgyLzulg1SS0VFRZN+s6b2PTQ3SmZmJp07d77h5TaV5DFP8pjXnHksMj3Arl27yMrKQqfTUVFRQ= UZGBt7e3paI0iRarRatVqsfihcNkzYTQghxo1ik8xIYGEhaWhoTJkxgxowZ5OTkGNz3Ys3Ky8uZ= OHEi6enpxMTEWDpOqyBtJkTjtKUfGWsKyWNeW8pzQ6YHuFZqtZo5c+ZYYtfXzdHRUf87LaJxpM2= EEELcSDKrtBBCCCFaFYuMvAgh2rbmuNm1qS5dukSHDh0sHQNoW8P+TSF5zGtLeWTkRQjRptX+4T= 0hROsgnRchhBBCtCrSeRFCCCFEqyKdFyFEm2ZN9wlYUxaQPA2RPObJPS9CCCGEEFdJ50UIIYQQr= Yp0XoQQbZo1DbVbUxaQPA2RPObJZSMhhBBCiKuk8yKEEEKIVkU6L0KINs2ahtqtKQtInoZIHvPk= spEQQgghxFXSeRFCtGnW9GnVmrKA5GmI5DGvOfPUm5hx3759bN68mfT0dB555BGGDBmCoih069a= t2UI01cqVKxkxYgRqtdrsevHx8axfv55PP/2Um2++uYXSidZo8+bNODs7M3ToUEtHsYjGvqau1+= 5TXzRr+deiSqki59QxS8cA6md5oPsIC6YRwnoZdF62bdvGjh07mDVrFp06dSIvL4+1a9cSHBxsq= XwGUlJSGDBggP7x1KlTG7XdtGnT+PXXX5srVrOoW1fRMlxcXBgyZIilY1hMY19T12v3qS0tsp/G= KC8vx9HR0dIxgPpZpPMihHH6y0YFBQUsWbKEiIgIunXrhoODA2q1mrCwMKsYiioqKuKTTz5p8vZ= OTk43ME3zut66iqZryx0XIYRoLfSdl9TUVLp168btt99usIKzszP+/v4AJCcnM2XKFKZPn86ePX= sAmDNnDsHBwZw6dYqpU6eydOlS8vLyiIyMZObMmeTm5gIwduxYwsPDSUxMJCQkhFWrVqEoCqWlp= SxevJgnn3ySqKgoLl++DEB4eDijR49mw4YNhIWFER8fz6FDh9BoNGRnZ7Np0yY0Gg3p6elG16+u= rubAgQOEhoby5ptvUlVVZVAvY3UB2LNnD1OnTmXatGkcP34cuPKGNm3aNACio6PRaDQUFRU1uu4= ASUlJTJkyhcjISC5cuEBERATjxo3j119/ZfLkybz77rv6dVeuXGlQV1N5S0pKeO2111iwYAFHjh= wxeZCNtU3dPNda97plFhUVmcxyPdlrTJo0CY1Gw4YNGwCYP38+48aNM7vNjh07GD9+PBqNBo1Gw= 1tvvWW2TjXn1O+//w5g8txsTHZj7WvumJtStxxj+zb12jJXB2PHuu5rCm7MsROtlzV8cK1N8pjX= lvLoOy/5+fl4e3ubXDE7O5uEhASWLFnC3LlziY2NJTMzk3/+859UVVVRVlbG4sWLSU1N5fDhw0R= FRdGnTx9++eUXAN555x0uX75Mjx49iI+PJyUlhcOHD5OVlYWbmxsfffQRbm5upKWlARATE0NxcT= GDBg3i7bffZubMmajVapKSkvDx8SEkJITBgwfr89Vd/9KlS3zwwQf8+9//Zty4caSmpjZYl8zMT= L799luWLFnCuHHjSEpKAmDNmjX6bcPCwvT3zTS27llZWVy8eJEVK1YQFBTE+vXref311yktLUVR= FN555x2+//57/RvLjBkzDOpqKu/Ro0cJDAwkMjKSrKwsk8eubttkZ2fXy3Otda9b5rFjx4xmud7= sNeLi4ujVqxePPPIIAIMGDSI+Pt7k+vn5+WzcuJF3332XuLg47rjjDiIjI83Wqe45ZercbCi7se= MNmD3mxhgrx9i+Tb22TNXB1LGuW/8bdeyEEOJG09/zolKpKCgoMLniTz/9xL333otKpUKlUjFq1= ChSU1Pp3LkzdnZ2/PnPfwagZ8+edOvWjfbt23PrrbdSUVEBgKOjI66urnTq1AmA4OBgMjIyeOKJ= J7j55pvZvHkzSUlJ+vs87OzscHZ2xsvLy2Smdu3a6f9fd/2DBw/y8MMP4+HhgYeHB3369GmwLgC= DBw/G2dmZQYMGMWjQIADc3d3127Zv3x5PT08AHBwcGlX3tLQ04uLiiIuLA+C2227jhRdewMnJiV= 69eumfq1m/sW3fv39/1q1bB0BQUJDJdqrbNsbydO/e/ZrqXrfM2267zWiW681ew9XVlccff5y9e= /fy+OOPU1RUhJubm8n1XVxc6NixI6Wlpbi7u6PT6VAUBRsbG5N1AsNzytfX1+i5aaquNYy1L4C9= vX2jj7mpcsaOHVtv36ZeW3379jVah9TUVKPHum79b9SxE0KIG00/8uLn58eRI0fIyckxWKGsrIy= MjAwURTHo3HTo0AE7O7t6BdrY2DRqxw4ODjg7O/P7778TGxvLXXfdxZgxY5paj3p0Op3BG0PtXK= bqUlVVhU6na/I+TdW9urqamJgYkpKSSEpK4sMPP7ymck3lVavVREVFodVqmTdvHmVlZY0qz1ie6= 627qSw3MntgYCBbt24lOzvb7CghXHlDf/TRR4mJiSEqKoo5c+Y0+tysYercbCj79R5vc+U0pt1q= Xlum6tDYY32jzzvR+rSlyxBNIXnMa5HLRt7e3kyYMIHo6GhOnjxJRUUFubm57Nixg9tvv53evXu= TkJDAb7/9hk6n48cff6Rv374UFhZSXl5OSUkJVVVVXLp0icLCQv0fvoKCAn0F0tPTycjIoLCwkM= TERO68804OHTqEv78/Xbp0IS8vT9/hKCwspLS09P+D2tqi0+koLy8HrvwBzsvLQ6vVGl3f19eXh= IQEsrKyKCwspKCggMrKSgCTdfHz82PTpk1kZ2dTUlJCcnIycOUTc3Z2Nvn5+Zw4cQKdTkdlZWWj= 696jRw/Wr1/P2bNnKS4uJjk5mcuXL6PT6SgpKaG8vJyCggL9JYS6dTWV9+DBg+Tk5DBs2DDUarX= BPTa11W0bY3maUvfaZZrKcr3Za1OpVPTp04fVq1fr78MypaKigsOHDxMbG8vKlSvp27evfpmpOt= WcUzVv2KbOzYayG2tfwOwxN8ZYOab2bey1ZaoOpo513dfUjTx21sLRzomx/WYR+fByIh9eztMBs= w2Wj+7zApEPL+flR1YyecB8nB1d620/4e45vBT0LnMejmfSPXNxtHMyu/2AzkP4++C3iXx4BY/1= CtWXM33gGzwd8Pfmr7QQf0B2CxcuXFjzwN/fn4qKCtauXcu6desoKipi1KhRODk54e7ujpeXF4s= XLyYxMZFx48bh5+fH66+/TkZGBsePHyc3N5ctW7boOzz/+c9/OHDgAPfddx+urq4cOnSInJwc3n= //fZ5++mn8/f1xdHQkPj4erVaLr68v+/btY8CAAfzjH/8gKyuL8+fPM3DgQGxtbcnMzGTnzp0MG= DCAL7/8koSEBHbs2MEzzzzD/PnzDdb38vKiurqaZcuWAVe+TbVu3TqeeuopOnToYLQuN998MzY2= NixevJi0tDSGDh3KTTfdhL29PWVlZaxatYr+/ftz5MgRtm3bxs8//9youvv6+mJjY0NsbCwHDx7= UjwhkZGSQkZFBWloae/fuZffu3YwdO7ZeXb28vIzmLS4u5vz588yfP59+/frRtWtX5s6dS0BAAC= 4uLvqD/PLLLxu0TYcOHerl6dq16zXVfd++fQZl1s0ycOBA/SWaxmSvWT87O9toHWqoVCqys7MZO= HCg2RNbURQ+/vhj3nrrLdauXcsXX3yBn58farXaZJ0qKytJSEhg+/btPPPMM7Rv397ouVlWVmY0= ew1j7atSqXjllVdMHnNjjJVjZ2dXb99lZWVGX1uA0dfX8OHDcXBwqHesP/vsM4PXlKen5zUdu8Z= Yu3YtAN0f8GjU+jdaUM+ncLJ3JvHERrp59qKjaycqqso5qz3N/d2CCbh9MKln93Hy4hHu9L6Pmx= xVnLhwSL/9sF6T6OHVl+T0bVwqOU9Pr360c2jPqdxUk9t39vSjtKKYnMIMOnv4kZK5k9F3/Q239= p58fmQFJRVF+vKrqqoMRrQf6D6yRdunrtzcXKv6bSzJY15bymOjtNA4U2FhIQsWLGDp0qUtsbs2= Kzs7m4KCAv19Fa2RuTpkZ2dz7tw5+vfvb7YMrVbLyZMn6devHwDFxcUkJSUxfPjwZslsSa3ptaX= RaAAYMq+7ZYMAk+6Zy23ud7D31Fa+O/U5E+6O5Db3O4j7fg6Xyy4RERTHpeKLvLdvoX6bZwfMo6= Pr7by1azrOjq6EP7SYMwUnWXcg2uT2ilKFgkJhSR4+bt05dOY7ArsN5+u0DRw6k2SQqe7vvMwb8= l4LtYZxaWlp+Pn5WTRDbZLHvLaUp8WmB9BqtWi1Wv2lEHHjabVasrOz9TcQt0bm6qAoCnv37tVf= EjFn165dZGVl6e99ysjIaPA+mdZKXltN4+58C1VKJcfO/QhAO3tnqqoruVx2CYDKqgoc7dsZbFN= eWYq9rT39bw/Cr2MACgoOdu3Mbv/bxZ/xvMmbO27pTXr+r9zTZQi/5hyo13ERQjRei3ReysvLmT= hxIunp6cTExLTELtsklUrFPffcc803ploTU3VITEwkNDQUX1/fRv3gYGBgIGlpaUyYMIEZM2aQk= 5NjcN/LH4W8tprmyT5/xcXRjVMXUzlTcAqof8O9glLvhsODWd9SWJrPwz3H8uAdTwBQpVSa3X73= qS3EJv6Nt3b9FbWqM4UleaicPJjzSDxhD/2brp7W+2GjLd0A2hSSx7wWnduoOTg6Oup/S0KIpgg= KCrqmr+Wq1WrmzJnTjImsg7y2rt2Dd4yip1c/covO8kXqav3zFZVl2Nna49quA5fLLuFg54i2NM= 9g2xMXDunvgenk7suEe+agLclv1PYj/Z9H5dSBrb+sYcxdf+ObE59yX9dh9PK+l/S81jV9iRCW1= iKdFyGEsAb+twYyoPOjXC4rIOFIPOVV//+NuZzLmfi4d2dg92CKyi/jaOdE1qWT3N35EYJ6hPDL= uR9Iy/kRJwdnLpcVoPF9kqrqSlLPJpvdHiCg02B6dgxgz6kvKS6/DNhQrVShANXVVUaSWoe29Em= +KSSPea1+5EW0nE2bNhEXF8cHH3xQb6qHGoqiMGbMGLp27UpsbGyzZ2qpmYqFaIhfxwAc7BxxsP= PgucAoALIu/ca6A4v49sRneLncRm+fgaDA6byj7Dr+Cfd0fkS//a3u3bi3y6PY2thRVK5lX/p2T= ub+DGBye4D7uz3G6dxfSE7/CoDswlMM7hGCrqyAw9m7W7gVhGj9pPPyBxMSEsKxY8fMrmNjY8Py= 5cv1c/3caE2d/VuI5rbp0LJ6z5WVldGuXTvKq0pZdyC63vL9mV+zP/Nr/ePvTyYYLdvU9gBvf2f= 4ezL/TXnD6Hpt6ZNzU0ge89pSnhb7tpFoObV/4t0Ue/vm6bfKjNhCCCGam3ReWgFjMwCD6Zmxaz= M1q3CNr776ipCQED788EN9L9lUuXVnki4uLq5Xdt0ZsevOVDxlyhQ0Gg3//e9/9WXWzPBsbt8yk= 7EQQoga0nmxcqZmADY1429dpmZGhiu/OhwQEMCKFStISUkhNTXVbLnGZqeuW3bdGbHrzlS8aNEi= PD09GT16NAChoaEsWLCgwTrJTMZCCCFqyD0vVs7UDMDmZvmuzdTMyHBlxuiam2iDg4NJT08nMzP= T7OzhtWeSNld2bbUvY3l5eRESEkJaWhr9+/dHURR8fHwarFNDMzkLIW68tnQPRVNIHvPk20ZtmK= kZgBs7y/fvv/9OfHw8zzzzjNkTqaqqCldXV3Q6XaPKvZay6woKCmLFihX06NEDd3f3RtWpZibjb= 775hnnz5rFo0aJG3dsjrJOl5+ypraqyErtmugfsWllTFmhbb4ZNIXnMk85LG+bn50dMTAx33nkn= Hh4eHDp0iMDAQHr37k1YWBgPPPAA3t7e/Pjjj/ztb3/TzwxcWFgIGM4qvGvXLv3Xp+3t7cnNzeX= 8+fPY29vrOwVardZouVB/dmpjZdeeEdvR0bHeTMUAt9xyC25ubnz//fcEBwfrnzdVJ7gyk/NNN9= 3EsGHD+O2338jNzdWP2IjW54HuIywdQS81NRX/nuZnKW8p1pRFCGsm97xYuZ49ezJy5Eheeuklo= qOj8fX1BaBLly6Eh4fz6quvMmvWLB577DHUajVbtmxh//79zJw5k8uXL+Pv78/WrVv56KOP+NOf= /sTu3bspKytDpVIxbdo0Zs+ezZtvvsnzzz+Ph4eHyXIBoqKiKCoqIjr6ytdBjZVdWVnJ/fffz8K= FC9HpdGzevJn9+/cTHh5uMPfO0KFD8fAwnFnY3L7d3Ny4ePEioaGheHt7c+utt7ZE8wshhLBCLT= artBBC1MwqbU1TGvz888/07t3b0jEA68oCkqchkse85swjIy9CiDbNmj6/WVMWkDwNkTzmyY/UC= SGEEEJcJZ0XIYQQQrQq0nkRQrRp1jTUbk1ZQPI0RPKYJ5eNhBBCCCGuks6LEKJNs6ZPq9aUBSRP= QySPeTLyIoQQQghxlXRehBBCCNGqSOdFCNGmVVdXWzqCnjVlAcnTEMljXnPmkc6LEEIIIVoV6bw= IIYQQolWRzosQok2zpm9oWFMWkDwNkTzmybeNhBBCCCGuks6LEKJNs6ZPq9aUBSRPQySPeTLyIo= QQQghxlXRehBBCCNGq2Fs6gBDNSVEUvvnmGz7//HMyMjK4++67mTRpEl27dm3W/UZHR7N9+/Z6z= 7/55pvcd999zbpvgJUrVzJixAjUajVwpR0+++wzPvnkEx588EHatWvHyJEj9cvbMhsbG0tH0GtL= w/5NIXnMa0t5pPMi/tA2btzIsWPH+Mc//oG7uzu//PILc+fO5c033zTowKSkpDBgwIAbtt85c+b= g4+ODu7s7wcHBAFy6dInTp0/fsH2YM3XqVIPHJ06coKioiNWrVxMTE8Ps2bPx8PBokSzW7o477r= B0BL229ObTFJLHvLaURy4biT+sc+fOsXLlSqZPn45arcbJyYn+/fszZswY3n//ff16RUVFfPLJJ= 82ep0OHDgQEBDT7fow5c+YM3t7euLu7869//Us6LrWoVCpLRxBCXCPpvIg/rNTUVHr06FHv0oi/= vz+7d+9Gq9UCVy6xHDp0CI1GQ3Z2NuHh4YwePZoNGzYQFhZGdXU1ycnJTJkyhenTp7Nnz55rzlJ= VVUVycrL+cUlJCa+99hoLFizgyJEj+ufHjh1LeHg4iYmJhISEsGrVKv2nl6SkJKZMmUJkZCQXLl= zQb7Nnzx6mTp3KtGnTOH78OJs2bUKj0ZCeng7Ali1beP3113njjTcIDw+vt7ymrV588UVeeuklt= m3bRn5+PgBDhgxh2rRpwJVLYRqNhqKiIrN5YmNjOXv27DW3kaXU1FUI0XpI50X8YWm1Wm655ZZ6= z7u5uQHo34RnzJiBWq0mKSkJHx8fYmJiKC4uZtCgQbz99tucO3eOhIQElixZwty5c4mNjSUzM7N= RGWJjY9FoNAQFBZGSkqJ//ujRowQGBhIZGUlWVpb++XfeeYfLly/To0cP4uPjSUlJ4fDhw2RlZX= Hx4kVWrFhBUFAQ69evByAzM5Nvv/2WJUuWMG7cOJKSkggJCWHw4MH6MkeOHElkZCTz589n6dKl9= ZZfuHCBdevW8corrzB79mxWrFihX7ZmzRr9/8PCwrj55psBTOYBiIiI4NZbb21U+1gDR0dHS0fQ= a0vD/k0hecxrS3nknhfxh6VSqYyOANR0WlxdXY1uZ2dnh7OzM15eXgD89NNP3HvvvahUKlQqFaN= GjSI1NZXOnTs3mCEiIoLg4GAqKyv54Ycf9M/fdtttrFu3DoCgoCD9846Ojri6utKpUycAgoODyc= jIIDc3l7i4OOLi4vTbw5URk8GDB+Ps7MygQYMYNGgQAO3atTObq/byw4cP8+ijj+ovJfXo0UO/z= N3dXf//9u3b4+npCUBaWprRPK2RXDYSovWRzov4w+rVqxcnT54kKytL3xmAK6MeGo0GFxeXRpWj= KAoFBQX6xx06dMDOzu6astjb2zNw4ED9Y7VaTVRUFN988w3z5s1j0aJFRjscDg4O2NvbU11dTUx= MDHfffbfB8qqqKnQ63TVlqUun0+lHoxrLVB5xfdrSJ+emkDzmtaU8ctlI/GH5+PgQGhrK8uXLOX= v2LKWlpezfv58NGzYQGhqqX8/W1hadTkd5eTkAhYWFlJaW6pf37t2bhIQEfvvtN3Q6HT/++CN9+= /ZtVIba5Wi1WjZt2oSiKBw8eJCcnByGDRuGWq0mNzdXv156ejoZGRkUFhaSmJjInXfeSY8ePVi/= fj1nz56luLhYf/+Mn58fmzZtIjs7m5KSEpKTk6mqqiIvL09/T4+iKOTl5XHhwgUURam3vEuXLmz= dupW8vDxyc3MNOmr29vZkZ2eTn5/PiRMn0Ol0VFZWmszTGl1v508I0fKk8yL+0CZMmMDAgQOJio= pizJgx7Ny5k3/9618Gl3zs7Oy4//77WbhwITqdjqioKIqKioiOjgauvLmHh4fz6quvMmvWLB577= DHUajXl5eVEREToOz21RUdHs3r1at555x00Gg0ajYYRI0Zgb2+PjY0Nbm5uXLx4kdDQULy9vQ3u= EenSpQuff/45M2fOZOTIkfj4+NC1a1eGDh1KZGQkCxcu1Ofv2bMnI0eO5KWXXiI6OhpfX182b97= M/v37CQ8Pp7y8nO3bt/Pee++xatUqli1bVm/5XXfdRe/evQkPD+enn34yuFTUrl07Ro8ezezZsy= kpKcHFxYUXX3zRZJ6aup87d+6GH8vmkpqaaukIQohrZKNY2ziTEG1YYWEhCxYsYOnSpRbLEBERw= bx585rl69QajQa48k0la5GcnExgYKClYwDWlQUkT0Mkj3nNmUdGXoSwIlqtFq1Wa3Q0pyVUVFSQ= n58vl1KEEFZNOi9CWIny8nImTpxIeno6MTExFsmwfPlyTp8+zaRJkyyyf0uwpsFna8oCkqchksc= 8+aq0EG2Ao6OjxS+nhIWFERYWZtEMLc2a/uBbUxaQPA2RPObJt42EEEIIIa6SzosQok2zpk+rgB= T9PAAABrNJREFU1pQFJE9DJI95MvIihBBCCHGVdF6EEG2aNX1ataYsIHkaInnMk5EXIYQQQoirp= PMihGjTrOnTqjVlAcnTEMljnoy8CCGEEEJcJZ0XIUSbZk2fVq0pC0iehkge85ozj8xtJIQQQohW= RUZehBBCCNGqSOdFCCGEEK2KdF6EEEII0apI50UIIYQQrYp0XoQQQgjRqkjnRQghhBCtinRehBB= CCNGqSOdFCCGEEK2KdF6EEEII0apI50UI0SQHDx7kueeeY/To0WzYsMHoT4GbW8fUsvz8fCIiIn= juuefIzMwErvzMeFxcHBcuXDAov6SkhLVr1/Lyyy+3SD5z2c6dO8enn37KuHHjeOGFFzhy5IjF8= 2zcuJGxY8cyZcoU9u7da9E8NcdOp9MRGhrKBx98YNE858+fZ8SIEWg0GjQaDS+++KLF26egoIC3= 336bkJAQpk+fTl5ensXy7Ny5U982Nf+2b99u0fYxoAghxDXKy8tTnn32WeXMmTNKQUGBMmvWLOX= YsWONXsfcsq1btyrJycnKsWPHlDVr1iiKoijfffedsnPnzno5Fi1apOzdu1eZPXt2i+Qzl+3cuX= PKxo0bleLiYuWHH35Qxo4dq1RXV1tFnp9//ll56qmnLNo+Nd5//31l7dq1ysqVKy2ap7KyUgkLC= 6t3TlmyfV577TVl165dSnFxsZKfn6+UlpZa/HjV+Oc//6kcP37cavLYLVy4cGG97pIQQphx4MAB= vLy8CAwMxMnJCUVROHfuHH/6058atY65ZcePH8fFxYX27duTk5ODWq1mx44djB8/HhsbG4McNdv= v3buXIUOGNHs+W1tbk9lcXV3p1asXDg4OqFQq3nvvPSZOnIitra1F89jY2HDixAkqKip44IEHLN= Y+NjY2pKenk5qaSmBgIGfOnCEgIMBieRRF4X//+x/Dhg1rsfPbXJ7z58+zb98+nnvuORwcHGjfv= j329vYWPV41srOzSUxM5Omnn8bGxsbieUAuGwkhmuDSpUt4enrqH3t4eFBYWNjodcwtu+eee1i7= di2LFy/mwQcfZM2aNUyePLneHy8AW1vjf8KaK19js/36668MHz4cOzs7i+bZsGEDDz/8MPHx8Tz= xxBMWbZ/q6mrWrVvH+PHjqcsSeWxtbTl27BiPPvoof/3rX0lMTLRonpycHLRaLX//+98ZNWoUsb= GxFBcXWyxPbV9//TUjR47UP2/pPAD29Z4RQogGVFdXGzyueTNo7DrmlnXs2JHly5cD8MUXXzB48= GC+++47Pv74Yx5//HEmTZpksXyNyabT6fj444+ZO3euVeQZPXo0R48eZf78+axevZoOHTpYJI+/= vz/9+/fH09OTs2fPNnpfzdk+X331Fba2tmRlZfHyyy/j5+eHj4+PRfL069cPT09PZs6cibOzMyt= XrmTPnj0MGTLE4ufzrl27WLVqVaP21dx5asjIixDimqlUKvLz8/WP8/Ly8PDwaPQ6jdk+PT2d8+= fP06dPH1JSUvjwww85ffo0Wq3W4vlMZcvNzWXZsmU8++yzeHt7WzyPVqvF3t6ePn364Ofnx5kzZ= yyW58SJE7z11ltoNBpmzpzJRx99xIoVKyzaPiUlJdjZ2dGlSxcCAgL0ZVgiz4ULF3B0dMTDwwMn= Jyf8/f31IxWWPH92797NsGHDaN++faP21dx5akjnRQhxzfz8/Ni5cycXL16koKCA7du3c9dddzV= 6nYa2Lysr4+OPP2b8+PFUV1djY2Oj/2fqUlFL5TOVrbq6mvj4eB566CH9vRyWzFNQUMC+ffsoLS= 3l9OnTpKWl4ePjY7E8vr6+bN26laSkJJYtW8b48eOZPn26xfLUnEvV1dWcOnWK1NRUOnXqZLE8L= i4uHDhwgKysLHQ6Hd999x2+vr4WbR9FUfjss88YNGiQxc/neq/9erfwCiFEI/zvf/9T/vKXvyjP= PPOMkpSUpH++vLxcef7555WSkhKT65jbXlEUZf369UpaWpr+8Ycffqg8+eSTyvr16w3Wmzx5svL= QQw/p/yUnJ5stv3a2hjKYWmYq25IlSwyyPPTQQ0pKSorF8rz//vtKTEyM8vjjjyszZsxQ9u/f32= B5zZmn9rE7evSo8t5771k0z9KlS5W//OUvytChQ5WIiAglNTXV4u2ze/duZeLEicrkyZOVhIQE/= bfVLJXn0KFDyqJFixRjLHn+KIqi2CiKkS9nCyGEEEJYKblsJIQQQohWRTovQgghhGhVpPMihBBC= iFZFOi9CCCGEaFWk8yKEEEKIVkU6L0IIIYRoNWxsbGz+D7mCNN0nf3rPAAAAAElFTkSuQmCC" w= idth=3D"559" height=3D"289" alt=3D"" /></p><p style=3D"text-align:justify; = line-height:108%; font-size:12pt"><span style=3D"font-family:'Times New Rom= an'; font-weight:bold"> </span></p><p class=3D"ListParagraph" style=3D= "text-indent:-18pt; text-align:justify; line-height:108%; font-size:12pt"><= span style=3D"font-family:'Times New Roman'; font-style:italic"><span>3.2.<= /span></span><span style=3D"font-family:'Times New Roman'; font-style:itali= c">  </span><span style=3D"font-family:'Times New Roman'; font-style:i= talic">Entrevista a expertos</span></p><p style=3D"text-align:justify; line= -height:108%; font-size:12pt"><span style=3D"font-family:'Times New Roman'"= >Diagn=C3=B3sticos sobre la implementaci=C3=B3n de la metodolog=C3=ADa de <= /span><span style=3D"font-family:'Times New Roman'; text-decoration:underli= ne">Aprendizaje Basado en Problemas (ABP</span><span style=3D"font-family:'= Times New Roman'">). En primer lugar, los expertos se=C3=B1alaron que el AB= P permite abordar problemas reales desde m=C3=BAltiples perspectivas y disc= iplinas del conocimiento, promoviendo una comprensi=C3=B3n integral en los = alumnos. El trabajo colaborativo es otra de las ventajas m=C3=A1s destacada= s, ya que esta metodolog=C3=ADa sit=C3=BAa a los estudiantes como protagoni= stas activos</span><span style=3D"font-family:'Times New Roman'">  </s= pan><span style=3D"font-family:'Times New Roman'">   </span></p><= p style=3D"text-align:justify; line-height:108%; font-size:12pt"><span styl= e=3D"font-family:'Times New Roman'">De su propio proceso de aprendizaje, in= centivando la curiosidad y la creatividad al buscar soluciones pr=C3=A1ctic= as a los problemas planteados. </span></p><p style=3D"text-align:justify; l= ine-height:108%; font-size:12pt"><span style=3D"font-family:'Times New Roma= n'">El ABP tambi=C3=A9n fomenta el desarrollo de la autonom=C3=ADa investig= ativa y la adquisici=C3=B3n de aprendizajes significativos que pueden ser a= plicadas en contextos reales. Adem=C3=A1s, los expertos subrayan que esta m= etodolog=C3=ADa favorece la retroalimentaci=C3=B3n inmediata y continua, lo= que contribuye al desarrollo del pensamiento cr=C3=ADtico en los estudiant= es. No obstante, reconocen que su implementaci=C3=B3n presenta varios desaf= =C3=ADos, siendo el principal la necesidad de estimular el trabajo en equip= o y la colaboraci=C3=B3n entre los estudiantes. </span></p><p style=3D"text= -align:justify; line-height:108%; font-size:12pt"><span style=3D"font-famil= y:'Times New Roman'">El rol del docente en el ABP cambia significativamente= , pasando de ser la fuente principal de conocimiento a convertirse en un fa= cilitador. Este cambio requiere una mayor preparaci=C3=B3n docente, tanto e= n t=C3=A9rminos de conocimiento cient=C3=ADfico como en competencias did=C3= =A1cticas y tecnol=C3=B3gicas. Es fundamental que los docentes adquieran ha= bilidades para gestionar el aprendizaje basado en la resoluci=C3=B3n de pro= blemas y sean capaces de guiar eficazmente la investigaci=C3=B3n y la b=C3= =BAsqueda de soluciones por parte de los estudiantes.</span><span style=3D"= font-family:'Times New Roman'">  </span></p><p style=3D"text-align:jus= tify; line-height:108%; font-size:12pt"><span style=3D"font-family:'Times N= ew Roman'">En cuanto al uso de plataformas virtuales en el ABP, los experto= s destacan que estas herramientas potencian el proceso educativo al ofrecer= una amplia variedad de recursos atractivos y creativos que captan el inter= =C3=A9s de los estudiantes. Estas plataformas permiten alojar el material g= enerado en el aula, lo que facilita su acceso en cualquier momento y favore= cen la mediaci=C3=B3n continua del docente en el proceso de evaluaci=C3=B3n= . Para aprovechar al m=C3=A1ximo estas plataformas, los docentes deben cont= ar con competencias digitales, socioemocionales, tecno pedag=C3=B3gicas y c= omunicacionales, adem=C3=A1s de dominar metodolog=C3=ADas activas y poseer = habilidades ofim=C3=A1ticas b=C3=A1sicas. </span></p><p style=3D"text-align= :justify; line-height:108%; font-size:12pt"><span style=3D"font-family:'Tim= es New Roman'">Es importante fomentar el uso de las plataformas digitales d= entro de la instituci=C3=B3n educativa, complement=C3=A1ndolo con una prepa= raci=C3=B3n adecuada al personal docente sobre el uso y beneficios de nueva= s formas de ense=C3=B1anza. Adem=C3=A1s, se debe estructurar una planificac= i=C3=B3n que permite desarrollar los temas de estudio de manera fragmentada= , presentando los contenidos en peque=C3=B1as c=C3=A1psulas de f=C3=A1cil a= similaci=C3=B3n. Tambi=C3=A9n es esencial crear material atractivo y variad= o, as=C3=AD como dominar el uso de las plataformas virtuales de aprendizaje= . </span></p><p style=3D"text-align:justify; line-height:108%; font-size:12= pt"><span style=3D"font-family:'Times New Roman'">Con base en los resultado= s obtenidos de las encuestas a docentes y entrevistas con expertos coma se = propone: construir una gu=C3=ADa did=C3=A1ctica virtual para docentes, cent= rada en la metodolog=C3=ADa del ABP y en el uso efectivo de plataformas vir= tuales y herramientas digitales, como se muestra en la figura 5.</span></p>= <p style=3D"text-align:center; line-height:108%; font-size:12pt"><span styl= e=3D"font-family:'Times New Roman'; font-weight:bold">Figure 5</span></p><p= style=3D"text-align:center; line-height:108%; font-size:12pt"><span style= =3D"font-family:'Times New Roman'; font-style:italic">Interfaz gr=C3=A1fica= de Chamilo</span></p><p style=3D"text-align:justify; line-height:108%; fon= t-size:12pt"><span style=3D"height:0pt; text-align:left; display:block; pos= ition:absolute; z-index:5"><img src=3D"data:image/png;base64,iVBORw0KGgoAAA= ANSUhEUgAAAVIAAACvCAYAAACvrlacAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBl= SsOGwAAIABJREFUeJztvWmUXNd13/u7c41dVT3PaKDRE0aCEEhxEEmQFCVaMhlJdGTZfrZlO7Hi= F788y3b8nv3yyWt5JV5JvOLEduThRRmsyLKYONLTTFKiOA+YQcxoNHoeqrprrrrz+9C8hQYIEEM= 33QX0+a3VqxuN7lt1d+/zv/ucs8/eku/7PgKBQCC4JSRJQl7vNyEQCAS3O0JIBQKBYJW8R0iLxS= KWZV32Pd/3cV2X1a4CzM7O4nkelmWxuLj4ntcRCASC2xF15T983+fll19mZGSESCQCLM//FUXh1= KlTbNmyhWg0SjabpaGhAcMwyOfz6LqObdtYlkVLSwu+77O4uEg4HEZVVfL5PA0NDXzve9/jp3/6= p5mZmeGVV17hySefRJIkLMtCkiRaWlqQJGldDCEQCAS3inrlNyYmJuju7uZrX/saiUSCSqXCnj1= 7+M53vsMDDzyAaZqMjY2RSqW4//77ef755xkeHiadTnPmzBk+8YlPYJomr7/+Ovv27aNYLHL27F= n279/PuXPnyGQyPPvss7iuy9jYGM8//zxNTU1MTk7yxS9+kVgsth52EAgEglvmqmukvu9z7tw57= r33XsrlMr7v097eXhNUx3E4d+4c+XyeYrFIf38/lmVRKpU4fvw4zz33HA8++CADAwMcOnSIxx57= jC1btjAxMcHMzAymabJ7924OHDjAhQsXeOyxx1hYWKBUKv19379AIBCsmvdEpMF0PB6Pk0wmaWh= oIBaLYZomo6OjbNu2jVgsxuDgIKFQiNbWViRJ4sSJE/T29qLrOps3b+att96iWq2SSCR47bXXcF= 2XhoYGmpubqVarnDlzhq1btzI2NkYymaSxsVFM6wUCwW2JdGUe6eLiIpFIhEwmQ0tLS209tFgsI= kkS0WiUubk5otEo0WiUcrlMMplkdnaWcDiMLMtEo1FmZmZIJBJomsbCwgItLS0sLi7S0dFBPp+n= XC7T0tJCOp2mra2N+fl5WlpaUNX3aLtAIBDULZIkvVdIBQKBQHDjiIR8gUAgWAOEkAoEAsEqEUI= qEAgEq0QIqUAgEKyS92yR+76/6qOgAoFAsJF4zxFRy7KEkAoEAsFNcNX0JyGkAoFAcGPIsvzeqT= 0gThgJBALBTSA2mwQCgWCVCCEVCASCVSKEVCAQCFaJEFKBQCBYJUJIBQKBYJXURc26D+oQgCRJI= gPhCoSt/34IbCxs/cHyQR4guhk7r7uQep5Xa64XfL0WyLKMoijIsiwcj0sO53lezdZrQdDTS5bl= mq03OoGdA1t/ED4NIk2xnnx6XeuRBs5m2zaSJKGqas1JVoPv+ziOg+M4aJqGqqobWkwDh3McB9u= 20XV9TUQvcGLbtpeTklUVRVE2rJ3hUsfd4COw9Vpd13Gcmp038oNrpYCutMla2CPodKwoSu3j/a= 4rSdL6RaQrB7frukSj0Zs2guM4tafGlQSOZprmho+WAjtXq1Wi0SiKoqzZtQNHK5fLtYfVRrV14= NOu62JZFtFodE1ENCAY0EHX3Y0eHHie955g6Zo/77q4pRLYNlIohBwOI13jbxNE/sViEU3Tbsin= 11VIA+WPRCLXdQjbtikUCpTLZQzDYGxsjPHxcbq6urjnnnuu6rCqqlIul3EcB13XP6hbqXuCwQ3= csoh6vo/jePgeqKqEolyydxCN2ra9piJ9OxJE6Gs1u7oSRVFqAiLLMr7vbzgxXfnAcl2XcDh8TR= v4noc9Ocni176GbGhIIQ0nk0Fq7aTxqafRm5rgKr8rSRKapuG6LqqqXtfO67pGGkRKV3uDruti2= zaLi4tks1neeustSqUSoVCIzs5OBgcH6enp4atf/Srbt28nHo9f9TVWrp9sxCf4ysj/eqs4wf+v= tJFle4xPlfnuj2Ypmj62C65p89C9KfbuaKIhrtV+fi3XA29XAn/TNO2mf3fl8ouqqrVoaCWSJK3= 52uvtSiCk18J3HSpnTlJ++WWaPvsMaioJVhmvmMU8f475//c/0vRzv0ioo+uauhBEvNd7KK6rkA= ZrpFd+z7IsJicnOXjwIHNzcxiGQXt7OwMDA3R2dtLQ0EA8Hmdubo7W1lZGR0fZtWvXVY0hygJes= sG17ODaFrZZwXUsfN9D0XQ0IwKyxnOvLnJgzufxR/pojKtIQKHi8oODRb71pTP8P/9oE8lEDGBN= NwtvR1Zuftzs71WrVYrFIufPn+f1119ncHCQRx55hEgkcs3X2cgEdn4/O5hzU5RffZ7UJz+N0tS= K79jggyTLGN1dpDSFzA++SftP/TxqJHrVa9zo33Ldd+1X4nkemUyGM2fO1DqPdnd3097eTmNjI6= ZpomlaTYBbW1vZtWsXb775JkNDQ4RCofW+hdsOs1JkYfw0hfmLhHQf38pTKpaIduwk1LqTly76x= Le0cC4PofLy75RtBZoSTEV9nv3mUX7pZ++77Jobcbq5khsVOdd1KZVK5HI5jh8/zvj4OO3t7Wze= vJkjR44wMDBAf3//VaMhIabvj+fYlGcuENu5A9nQ8M0yeB64Nnguvu+hNjVinD5OaTFN4hpCCjf= 296wrIXVdl8OHDxOLxXjwwQeJRqMsLCzQ1NSEZVkkEgmAy9afenp6+PGPf8zi4iKdnZ3r+fZvO1= zHZubMW6iyxdCHHkJ2i1CZxsqOcfH8ixwfWyASe5QGHRwPLHd5OUmWoCkE3a1hjh+eXe/buO1wH= Id8Ps/CwgKHDx/Gtm1aWlrYv38/siwzOzvL7t27efXVV+nq6rpqVCp4f1y7Su7CIRLD90C1BI4F= ng+Oie9Y7z6IPMItjSxMjNHQ1buqh39dCWmwhmkYBqZpEo/HaWxsJBQKoSgKlUqltjucSCQIh8O= Ew2F6e3s5d+4c7e3tH8gC/51KKTuPk79Az/Z7kH0HvOWntabKdHUmOPvj71By+unoaKAxrGKoyy= JquTBfcVgcHeOju66/UShYxnVdFhcXmZmZ4eDBg8RiMXp6eujo6CAejyNJEq+//jp9fX0kk0nef= PNNpqamGBgYWO+3ftvh+2D7Dr5r41WLSLICPvieje84uJ6LZ9v4nofj2Kt+vboSUkVR6O3tZXJy= ksHBwdqCu2VZnD9/vrZpVC6XCYfD7NixA0VRGBoa4sUXX2TPnj3X3HQSvJdiZoK2tgYUexH8Krg= m2Dl8pwJ49HTo9C2Ncej1bh68P0LVs1BkiVzB4sChBXYlzvHkE48IIb0OlmWRyWQYHR3lyJEj9P= T0sGvXLpqbm4nFYrVA4Z133qG3t7e2C/3YY4/xve99j76+vlvavNrIKEaIxOC92FYV1bYIPNTDx= /c8PNvCLxUoZgsYwx2s1oPrSkglSSKZTHL8+HEKhQKGYSBJUi19qaOjA0mSOHHiBPl8vrZO1NjY= iOd5zM/PCyG9CXzfRnJy2AULxzfAd/GdCo5ZwjKLVMtLLGQtFOciowcK9LapSJJCY0jhH3+8kf7= NjxOPXXttSbCctvfKK69w9uxZtmzZwsMPP0wymSQajWIYRm2ZKpfLsbi4yODgYC1ftLe3l+eee4= 7z588zPDy83rdyW6EoGrGuQcoHXiKs6ci6jo8PnodvW/jlIvbCAmlHY2t371VToG6GuhJSgFgsh= ud5TE9Pk0qlUBQFwzDYtGkTnueRTqfJZrPEYjGq1SrhcJhIJEJvby+jo6Ns2rQJVa2726pLwolO= cudfxXUVlM7HCYfDAOSteQoz/4vxiTkef7iDkR0jaKqMpi3bVZalax6EELyXo0ePous6U1NTWJa= FaZo0NTURjUaJRqNomsbBgwdrG6aBXUOhEE888QTPPvssv/Vbv4VhGOt8J7cPruczVY3z0txmPl= Y6S2N7DF/VwLGhXMBdWuTUjMaRto/R4eiEV/l6dac44XCYtrY2ZmZm2Lp1a22hPYhML168iOu6T= E9Ps7CwwKOPPoqu63R1dfHGG29QKBRIpVLrfBe3B7Hmbg6+ZdEXKpA98yab73oM13GYPfcWC+Nv= cqzQysNDwyQTIuq8VTRN49FHH2VqaorW1lY8z6NarXLq1CkKhQKVSgVN0+jr6yMWi73ndNi2bdv= 427/9W06fPs2uXbvW+3ZuC3xgIWvzw8MmeqKT3OY2Sm+/gFqcRFEkKkWLqe59HO++m+6UzldfWO= KXP9FM2Lh1Oaw7IZUkiS1btvDcc8+xsLBAb++l3TRd19m7dy8Ap0+f5tChQ1y8eJHBwUHa2tqwb= Zv5+XmSyaRYt7sOlmPxxuibHEmGsF2F8Nz3uPDNb1G1KizIeU4MpJC2D3Pw4hEeTe4XUf4qGBwc= 5Ic//CF9fX0oioKqqvT09NSm9b7vEw6H31OQJMiTfOihh3juuefYtm3bhj85diNYlseXv5vmyXs= TRPUQRdtgbt/PkjXLvDpa5KH7E1iE+GiLxNLsEpu7E3z5mxN84TN9t6wbdTk6GhsbsW2biYkJOj= o6agvtwbl813UxTRPf94lEIvi+TzQapbOzk7Nnz9LX1yemQe+D53ucnT3HfGmWj2x5AFlTOdPSz= b1f/Hf4nse5f/Pz7GvbhF/UGZ+8yNsnDnDvznvEw+kWMQyD/fv3c+rUKXbv3l3bRFVVtVZsI1gX= lSQJ13UpFovMzMzwox/9iFOnTvHggw+u923cNozNVNjSH+fcnMXekQSdmswW1UeW4uwbiJM0JDz= fx/YkQqEEZybKLJoq03NZutpvbTZbl0IaCoXYunUro6OjDA8P09TUhOd5TExMcPHiRarVKqVSiY= GBATo6OmoJsz09PXz/+9/n3nvvpaWlZZ3von6pmBVOzb5DpNGnOZEgpibZ1NCD87ut2KbDTwzeD= ZJPMZojGpF59pv/gx1bthOLxdb7rd+2DA8P8+Mf/5jh4WEikchVRdRxHLLZLGNjY7z11lvMz88z= PDzMb//2b9PV1VU78y14f77x4hS9uzcRCYVIV2TCNhiqhCYv7yllquB4EqYDVVelhEZzdyPf+eF= ZfuVzd5CQSpLEjh07ePnll7l48SKpVKq2Q6/rOslkks7OTuLxOMVikVKpxOLiItPT06TTaWZmZm= hubl7v26hbcpU8x+YOcVfLJhasCcpejpAcQdnbDZ5PwU1juhUqboEFa5y0NMPYxEV2jGxf77d+2= xKslR49epT9+/fXhDSo5hSc6Dty5AiO47Bz506eeeYZ2traNnTBnVthdNJC7QNPVnCLEFJBV0GT= l/OgPf/SAZOKAxVJoyq7XDhTuOVTeXUppADJZJJkMsnJkycZGBggGo3S09NDW1sbpmmSz+e5ePE= iCwsLZDIZMpkM2WyWfD6P4zjr/fbrmrJZYcmaJeeFkaoeYSWGLodQpeUiGY7lYLlVTK9E0U/jR0= zGJseFkK6SoaEhXnvtNZaWlujo6KBSqTA7O8uxY8c4e/Ys8XicD3/4w4yMjJBKpa5bGk5wdcoll= 0VLRq3IlBwwlOUP9d2I1PPB9cDyoOpAxVaYL7kUc5U7T0hVVeWxxx7jr/7qr9izZw+tra1kMhlm= ZmZIp9MsLCyQTqfJ5XK1IqyNjY08+OCDtQ0qMQ26OpIvU6yWSJuTVL0iISWKJhmosgpIuL6D7Zm= YXpmyk2d+MYPfImy5WmRZ5tFHH+Wll15iZGSEgwcPMjU1RW9vL08//TR9fX1Eo1GxsbdKDK/MYt= HDkyGsLYuopixHpEjLp55cD2wPTBsqrsTkVInWiHlnbTYFbN68Gc/zePXVV9E0jbm5OdLpNIVCo= VY4t6uri8HBQUZGRujq6iIajYqp0HVIRhOEzVYuZs6SSmQwlAiaZKDIy9WdXN/F9kwsr0q2WGDx= pMuWxzet99u+I+jq6sIwDF544QU2b97M448/Tnt7+2X5o4LV8ZmPdvHvX5mguqOPcEitCakigcR= yepTrg+2C6UKpaHLqhYP80q/23JlCGux2fuUrX6mVs0omk/T397Nz5062bdtGa2tr7YjdtarkCC= 4nGW3gs7t/lj958Y+Yap2koUUmFFFRa5seLuWSQ3bWYelYiM/ufob+Lf3r/bZvK67ld5qm8dRTT= 1GtVolEIletOSpYHY880MWBwwd4/keL6D1dxFuThCIairqcm+t7PrbtUi2aZCcXKJ86xWc/rHD/= fTtu+TXXXUiDdI+r5ccF542PHDlCKBRiz549jIyM0NTUdEPFVkEI6UqCh5GiKNy/ex/dTX/I91/= 6McffPEmhmsXxbTzfR/FVQnKUfc1dPPype9m75+73LVF4KzU472QCn74WoVDolks+BpuuG7FI+d= VYaY8Aw1D47V/fy8ePTfDt757k3Bsl8paEi4zrgex7qDjEVYc9myN84p8PsHPnwGVdH+BSofK6b= n4XtGQolUrAcqR5rYgyqKIfiO2N3FhQLLdQKNTONW/ExmxBS4ZKpUKpVKKxsbEWBQV/+iA3d6Ur= XNmF9f0I0nY0Taul9mw0O8OyrQOfdhyntmG0ltcPCkCHw+HaTGyj2Tp4cFcqFSqVSq3wy5V2WNk= SO/Bxz/Pf1RL5fZtiBj6tKEpt3fpagdu6Nr+DS4M1SF+6Xu8m277xcleWZVEsFjEMY8O3ZA4eQp= IkkclkiMVi1x3g12vjEOB5HsViEd/3a0VmNjJB/yrTNFlcXFzTBniBSAeDeqPbOvDpbDZbq1lwP= ZZN5r+vfwcV5oJiSTeiHesmpMF5Yk3TMAyDSqVCPp+vTRFvJVAObjZo7RwKhWoVdjaq0wVOENij= XC6TyWRqEeitTkgCewandMR63zJB0zTDMCiXy8zPz9cG7GpsHfwNDcO4zKc3or2D+1YUBV3XcRy= HpaWlWl+y1fp0cN1wOHzDS4jrKqSB08Hym7dte036/gRRga7ra9bD/XYmcLpg+qPreq2261pcV9= M0dF3f8JFSEBwEDy1ZlrFte00a1QWzt8CnN+KUfiWB7wWzoKDj51r7dBAcXM/W67ZGCpc3C1vLz= oiBQ6/82MhOB1zVzmth68C+wcAWKTyXmgAGA3stNuKET7+XlT4dfKylT6/8eD8kSVpfIQ1YOajX= Skiv9nmjs9Z2Bi57Wgs7X0LY+u+HlTZeSzsHn29ox75ehFQgEAhuVyRJQszDBAKBYJUIIRUIBIJ= Vsu4nmwKCZGbHcWq7cbCcO2fbNpFI5D2L9iuTyoN8siAVZ6OmhtwMjudjWi6e7xMxFBRZpmK5ZI= omyYhGWFeX8+6CxZ/g63cLP8iytOrui/WO4zhYloUsy7UdYtM0KZfLGIZxWSL4ylWywDdX/l/wP= cdxahkq0Wj0soLO+Xy+lnpz5e8Gv3+117ny60qlUit6vnIc3GljwvfBdj1Mx0WRJEL68qanabnI= soTjeciShKbISNKKvwvLxZ0Dl57PV2hPhPF8Lvm8BPIN2qtuhDSbzfLCCy/g+z5DQ0Ns2bKFSCT= C6dOnKZVK7NixgwMHDhCLxQiHw5RKJdra2lhYWCAej6MoCjMzM/T393P69GkSiQRbt25d79uqW6= q2y2tnFnjx5DxnZwv86qNbuX+ohXzFZnqpgipLvHJ6gWhIxXZ8bNelIaxTNB06k2HemczxxK4OE= pE7t01wtVrltddeq7W8GRkZIR6Pc+zYMbZs2YJlWZw7dw7DMNA0jYWFhVrrkP7+fs6ePUt3dze2= bTM1NcXWrVsZHx+nUqkQDodpamqiVCqRTCbp7u7m8OHDyLJMU1MTc3Nz9Pb2ks/nKRaLaJpGf38= /09PT5HK5WtAxMjLChQsXMAyDeDzO1NQUfX19vPbaazz00EOMjo7S0dFBsVhElmUGBgbuqHYlJd= PmW4emOHIxS9F0+CePDzDY0cDJqRy9zVHOzhWwHY+FvEl7MsSOngQnp/I0RnXemczR1RihULXRF= RlNkXnx5DxDHQ3M5aroqsx9gy2o8vXFtG6m9qOjoxiGgW3bKIrC4uIilmWRTqcplUqk02lgOQE8= nU5j2zbFYpGhoSEuXLjA/Pw83d3dWJZV69gouDZLJYuy5TCRKWO7HkhQrC4nNE8vlZnLV9nWnSB= dMLmwUGRffxNV26ElrjOXqxDRFS6FqncmExMTxONxcrkckUiEiYmJWkpTEEkGeZ35fJ6RkRGKxS= LxeJxqtUpzczOZTIZ8Pk+pVCKfz9PW1kZ3dzctLS1Uq1UAOjo6ME0TVVVpamqiWCzS2dnJ6dOnm= Z6eZmRkhFwuR7lcJpvN0tTUhKIoNd+fnZ2tzdx6e3tZWlqiqamJTCZDb28v09PTtYT+O2lv2fdh= PldFkiTOzRVQZYkL88un7JCgYjl43nIEH9YVFosWubLN5GKZfNUhV7EZS5fY0Z3EdDxG54vctSn= F6ek8AIYqL7/IDVA3EenQ0BDlcpm+vj40TaO5uRnbtmudRM+dO1dLrm9ubsb3fWKxGJqmkUwmic= fjLC0t0dzcjOM4JBKJ9b6luqYpZjDU0cBHhluQJIm2RIh4WEOWJe4baCasqxwYXSRmaIR1hYiuo= qsK6YJJV2OEk1N5TOfOLlSyadMmzp49y913342mabV2H62trZw6dYr29nYsywIgkUig6zqpVKo2= LZ+ZmaGzs5NsNktDQwPhcJhwOIzruszNzdVat8iyjK7rtSOgyWSSubk5Nm/eTD6f5/z58zQ2NjI= xMUEkEiEUCtHQ0IBhGDQ0NCBJErFYrFZTwjRNDMMglUrVupc6jkO1Wr2jhFSSoCMVob9k8ei2dt= qTIXb2plBkia5UmLdGF2ltCBELaaQLBQY74hy5uISmyJRNh2RUozFqEDEUEhGdrlSYg2OL9LXGK= JsOubKNd4Pmqqv0p0qlUiuUoaoqruvWkmHT6TRnzpxh06ZNtTYiQc+b4Aie4zioqopt27Wji4Jr= 4/k+ZXPZdrGQWvue7y+vDZUtB01ZnqrqqoLlerjvrjnZjkc0pN7wGtLtiuM4tXX7wJ+Clsor6xU= Efus4DrIsUyqVsG2bRCJROwCx0h8DH11ZjMeyLHzfr/l0EEEGs6zgdxRFqa19rkz+v/L6mqbVZn= ie59WOZN9pOK5H2XLRFJmwvmxL1/OpWC6aKuF5y/+OGAqFioOhLWuK4/mosoSuyjiuj6pIlE0XT= ZGwXR9NkdA15br7ALdVHmlQLSpoZysQ1DPBppA46XXnc1sJqUAgENQjIiFfIBAI1gAhpAKBQLBK= hJAKBALBKhFCKhAIBKtECKlAIBCsEiGkAoFAsEqEkAoEAsEqEUIqEAgEq0QIqUAgEKwSIaQCgUC= wSoSQCgQCwSoRQioQCASrRAipQCAQrBIhpAKBQLBKhJAKBALBKqmLCslXdkZcbYnUoFOi6CT6Xl= baeq3sHHwtbH05H4Str/y80bnSvutl53UX0pWtEoKv1wJZlmvtH8QgvzSoAztf2dr6VglaZciyX= LP1Rsf3/ZqNgzYja0Fg46A1yUa3deDTgZ3X0qcDOwdfX/d31rNCfjCwbduudTlcK+cIrqtp2mWC= uhEJnM1xnFpvn7VqgeH7/mV/v8D5NiqBTzuOU+vTtFb2uLLdjvBpr2brwM5rYY+b9WlJktYvIg0= MYds2nucRiUTW1CmCmw86Km7kqDQY3KZpEo1G17yvuSRJVCqV2tcbdYCvfGDZtk00Gr3pB5Zr25= SzWXwgkkyirmhWF1zLsqyaP29EO8Pl+qHr+nWDsODngRuynSzLlMvl2s9fz6frQkivJaKuY1Mt5= nAsE1nVCMUa0PTQDb+GqqqUy2Vc111z8bidCIQU+EDssLLr60ZvTOj7fi1CulkRLWYWOffaa2gX= R8m++QbSE0/yoWeeQTcM4NIyShCJrewmupG4cpnqahFj8DPVapV0Os3i4uJl66iGYdDe3k48Hr/= qrOFKn76endfV6wOnu9obrBaWOPyd/0zvtu3omoOdm+HI6XGGH/88Te09SNKNOWmwVuV53oZ8gq= 90uhtexbny565js8CmjuOg6/qtvM07hkDkbrbtsV2t8v/98Z/ywC/8AlIiTseZF3n+3/9beu65h= 56BgdrPBS2Y13I/4XbFdV1c172qiBaLRc6cOYPnebS3t7N58+Za1Op5HpZlkU6nOX/+PE1NTfT2= 9l41qr3Rh+K6Cum1Nj2sYpapA9/grkd/glC8GSozEJNJhE1OvfQX+Pd/nqb2XqTgdxUVSZavOuB= XhvQblcAG1xp4vuviVkqY6TkqMxPkTx6heO4UruVgdPeRGLmLWO9mjNZ2tHgD8jXW/YLX2IhREl= zaMb5Zf/M9j0Nf/xs+/KmPsJjNUtY3MX/Pr3Ax87fcc5WAQfj0tX3acRwmJydJp9N0d3fT0NBQ2= yOBS9P6UChEPB7HcRymp6d59dVX2blzJ6lU6jLfvdGHVV3Ow8pzp2ltTxDSPLBz4FTBs9F1ldak= w8XXvkWoaw/60tTyU6l9C8bAEGpDAnkDT+FvFt/zsPNZCicOkv7RsxipMg197bTtHqDzwU+ArOF= V8pgLp8m//TrFiQqhrXtoeeARwq3tKDcZdW0ErkzluxHSYxcwc7MoxhZcv4NYBE7nZ6k2d1KuVt= fsde50HMfhwoULlEoltmzZQigUek/mzpUpe7D84CuVSnz961/n05/+NE1NTbX/u1E7152Q+r6Pm= 5/CUJegPAWyCnYZz8pi2xUk26NpZh51JI7avRe1kqc6NUX6628Tf/IfEO3sWrMd6TsZ3/Mw56aZ= /C//hkTvPK0f38eFcgdqZx+x1iS6qgI+pu0yJ3XiNxbpuqeEc+YQE18+RuKJz9B2191CTFeJVal= w6rvfZuRjD3J4tpuG1ibshcMMzf1HJjLtJJNfWO+3eFvgeR7z8/Pk83n6+vrQdf0y8bzasl6lUu= Hs2bNMT0/j+z6pVIpvf/vbPPPMM0QikZt6/bpTHAlAD+OYObzSFF5pArcyg13NUsnn8OZkuj7xO= UL9W5GTjciJFEZvFw3b+pl76QdUi4X1voX6x/exM/PMfe2P6Bg6TPMD9/H2bBTCQ4yOV5idOQP2= BNiTvHP8AHMZiaLdzIXFAqldbWy+e5TCD77C9NFDIipaBb7vM3/qJK2bmzl50cFxswDoAAAdK0l= EQVQyuimWTDInXmZhfIa7f+JpGlua1/tt3haYpsn09DStra2X5X9eGY1KkoTv+xQKBY4cOcLExA= SmaVJ9N/KvVCqMjo7etF/XnZAiSaitQywUChTys1SKC5SLGQr5BZamJ4i1bEKNhKGSB7OEb1vge= agNcQzZpJxZWO87qHs8yyL/5gs0bjlDxDiGtPQtZqbnaWpuJr2Y5eypE/jVM3iVk5w5O00+X6K9= rY3Fi6/AxB8SUp9n071zzP71X5BdWhJieouUMxnGXnmOUMpnonIXti1TXJhEfefLTMY+zN6Hntj= wm3c3Sj6fR1GUyyLRgJX/9n2fTCbD22+/zfz8PJZl4ThOLWVN13WOHj2KZVk39fp1J6S2azPm5P= hflQXOzY8zefEEU2PHGDt/iPGlC3ghDapF/GIWv5TDN8t4nrv8gY9ZrYiBfR3cQhZr7CUioXeQt= EUoPU/YP83rr7/Gn3/pj8lnXoLyX0Ppy+SXTvCv/tXvMz01jqZOgzIFepaQ/CO67hrg5A+fX+/b= uS3xHIfJA28wcFeCsRkPpAaq+TILP/oS2UyZHU/+HI0tLRty0+5WqFQq78mUuNJ2nucxPj7OwYM= HKRQKtV3/IKnfcRxM06RYLN7eQur7PjOFGcbz4+zd9insnZ/k6Bz4X/oO56d1ph+4m5Ks4laKeN= UirlnGcSwcy8LLLrKUK0JobRP770TcYgHVnUKO5CHmQ8RmqPv7qEqe1maf/t7XkeRXkdQDbO56g= bbWBNnF43S1vYEUB2KAvkByi8/SKz8WD65bID89hTl7nLB7hLS9FavskT74P9mx+BWyvR9l+777= bjqFaiMT5JTatl1L9VuZPWJZFidPnuSdd96hWq1ellPqOA6VSoV0Os3MzEztGjdDXW02VewK3zj= xTUa6e9jc2IeuhNn8Uzuofj/L/T/z+3gNGmZ+kvxClkgqhg9gW/iFHEsXp5hQ29jcKNaUroeEjy= RLEJFAA3TYNjhPbPGL7PxnDpt7KqD5SMDDD0zQ3p6hKflj2uIlcFj2GsVDqphUK2UhpDeJY5rMH= H6dzo4lvMxrnD79BFb+v/OU+Zscmkqx75d+llRjowgIboIra3YE//Y8j2q1yuHDh0mn05flVdu2= TaVSoVKpUC6XKZfLOI5zS6lldSWklmvhaQU8tUzWmSVCHEMLo/7lH+ApEhMzFkfmhtjuTrAtfRJ= VcfDNKoW8x7fl/djJFoazLrGYh6LUVbBdV0iROJ7cja8nkUJp0EHOpWh3/yGKIiNPS8sPKd9DdV= 1GJAcvU0Eq/AD60mABWpLS8RLVgSEx4G8G36e0MEd17GUad5zFN0/xUb5ARzjL4ryEee8XGN65S= 2Se3CSSJFEul2loaLjsEE4+n+f111+nUChcttkUTOeDgzqqqtZOMt3KwZ26ElLbtcjZ02RsFadS= JaLG0KUQsqRQWIQL50b48FCUhoa7ODG/jaMTabyIxKbNLXyoUcWplPnB20t8KqLS3tyw3rdTt6j= JFGrvg1QzacJbZpBCJSjJlNp+DS3VQzgUWj42J8t4rotj2ziFCdRzr0AYkGWcwv0c+dZr7P69Px= VCehO4ts2pv/uvDG6ZQ1p6G9+qsjNWpXQBXljcx1Of+3lCoRs/Bi1YRtf12oaR4zjIssz8/DzHj= h2jWq2iadplJ5tc1609rILIVdd1qtUqkUjkppdV6kpIPd9ntjBD3PQoullCSgRN1pFQOXGwg52b= WlDiOuGoys4BlW1be/EBRQLLg4VchI5NEq++fZanP3qXiEqvgawbhHffR+4bB1FS96B3vYHUkyV= 24k+xQ/8HaJ3LRvUlJMdCKs6hn/53yEPz+KqOs7iZsb92yD3wKR4eHhZCehO4tsXisdcpahlUuY= hmSlgLPkfOxOj67D+hd9MmYc9bIBQKEYvFSKfTqKrK5OQk586dw/d9dF2vCaksy7XCMkF0Gvzb9= 30URWHTpk01Yb5R6kpIdUmnOBVmPHmBWCRKWI2gyRoSGpMz/Wzp01gwVaq+RFgF7d1DTI4HVQdy= psKSrXHk7Qwff9giEhZP9msR7urF/ujnmf22T8uAQvjJMUIjr6CP5fGzD4LSDj5Izjxa8UWkwVF= cvZPSkQgXvtXCeMfj7P/cz2/4IiU3S2l+hq07u+nQJCqHwixIKpXFKoeaPsov/ORPCnveIg0NDc= zMzBCJRBgbG+P8+fPouo5hGKiqiqZptZKawfQ92GiSZRnHcbAsi6amJoaGhlAU5fYV0qgR4xfv/= kf85St/ynzbAkYsg6bJSJJCZhEWqipuXiKiQUgF9d2A0/HBdKBsyyyYKrNpB8d2l6ehgqsiyTLx= vq34+57E+uEk4cdD+J6JG3Xwq+/gm6Pg+/iahWN4mAcjZI52cKGwlcSDn+bh+z9CPJFc79u47Rj= /3lcZ7GtDeevrGGMVZifjHGjbyj2/8+s0NTWt99u7bTEMg46ODiYnJ1FVlWKxSCqVqhVoDsQ0qH= 4WrI16nke5XMa2bUKhEPfccw+tra239xqprmncN3IP7fFWDp8+yvjcBKVqCcfxWMjJTCy5FByZi= AqGskJIPbA9KNuQXrKRrDSyLKZH74fv2NjH3sD/H3+JfI9D+u/SLI7HyZY0IlEFmRKeZ+E4HqbW= itP4IeL7drBrcDuplla0dxOfBTdOtVgi4s4QmjmHP50lM6NzJDnI3f/899l1333CnqtAkiSampq= oVCpkMplaneOV0WhQxSmIRINsE8Mw8H2f7du3s2vXrltKO6srIQUIGQbDWwbp79mM9W4+l+f5vH= Eow5deHmVxoIdo1MDQJFTl3fJtro/l+BRzZWbeOsI/2BPFCIkTIe+H7zpkZmeY778Lt6pBspXoR= zaxuaObUDiCa1vLC/KKghoKo4XCaIax4Svgr4bDb09gVyMkzp8iMi1z1G2l55e/wK777xcbTGuA= oih0dXWh6zq2bTM1NUWpVELTNMLhMLqu14qYBDmnsizT0NDA3r17GRoaIhwO35J/152QwvLTRdf= 1y47HfeTeMLZ1nm+/+goTWR/TNfBldbl2pmeh+WWSco6nd8b4zFMPob271iRyHK+OpBu0PvYUTa= 4DkoykKijKpfYVK+0mhPPmuZrfKZEox/p/jYX4brTjf0Lpqcd54mMfx3i3cLNg9aiqSltbGw8//= DAzMzOMj4+TzWaZn5/HMAw0TaulPYVCIQYHB+np6SGVSq3qAMS6C6kkSTiOc93K7dGIzscfHeD+= fV1kcwVKpQqO6wLLpxdCuk5DQ5RUMk44HKqtfwghvURgj+U8ORk1FLqmA9yMeK6swC9Ytt3V7LF= jZxtf+rtDNKgqOz/zT3nyk/tJrijZdiOsPLEjHnC85wQTLFe3j0ajbNmyhZ6eHqrVKpVKpXaiSV= VVwuFwLUq9VpuS4ITUjdh5XYU0cIZisVgrNvB+aJpKU2MDTY0NVxXIKwuyVqvV2qLyRiaws2VZt= cIMa4nrulQqlZpDblR7r7z3crlcq4cZEA7r/NHv7sB1h4lGIrfU7DEosrHRj48GtnZdt5b7eSWy= LGMYBoZhkEgkbur6wbHRG23Ns65CGvRFKRaLLCwsEIvF1mwQmqZJqVSqOfNGHeDBfQdrQ+l0mlg= stmYD0fM8CoXl0oWhUGhD2nglgU8HvYKubDaoKjKqoteKZNwMlmVRKpVqa30b3daBDbLZ7JoGCK= 7r1nq9BY0zr8e6CWlQL1DTNAzDoFwuUywWVz0dD4RDVVVCoRCG2CC5zB6lUonFxcXLCjvc6jWB2= q5o5BYjrDsNSZLQNI1QKES5XGZhYWHVve1X+rRhGJcJ6Ua098rgwDAMHMchm83WduJX69OKotR8= Otjpv56d11VIA+cIh8MoilJLWVgrpws2rDZqe+CAlU4Hy8fp1kJIg+sGtt7ovdaD4CB4aMmyfFk= 1otVcN/BpTdNERMolnw6i0OAk0loK6c08sCR/HXdjgpteWWRgLZp6rayOvbJK9kbmanZe7Z8+cL= Ag6Tn4eqNztUpEq+VKnxa2/mB8GniPdlzPzpIkra+QBqx8iqy2qVcgmCs/b3QRDbjSzis/3worb= SvsfDlraeur2VjYepkrdWOtgoMrv77u79SDkK5kLd6OcLIbQ9j674+1GOCC67Medq5LIRUIBILb= CUmS6qvViEAgENyO1JWQOq5HrmxRtS+dCimbDvO5KrnyzTWjEtwYnu+TK1vkK3ZtWmQ5HpmCyVL= J5Lnjs5f9vA9ULRfXExOZG8V2PLKlS37tej7pvMnsUgXTFifCVoPjOBSLRSqVS00vc7lcrbndzW= BZ1i1vDNbN1D5XtvjS8+coVR0KVZtf/9gQvc0RvnFgigeHWgAYnS8yvVShuzFCLKSiqzJvns+QC= Gv0t8V541yajwy38KMT89zVl2JPX+M631V9U7VdvntkmiNjSxy6mOU3fmKI+wdbODmVQ5VlOlNh= vv7mOK7r8bHdnRwbzyLLMJEps2dTI/u2NiGLtbv3JVM0+U8/GiVXsZnPVfi/ntpOb3OUc7MFZnM= VZAlG50s8MtLKW6NL9DVHODGV4+GRNl46Pc+WlhgTi2XCusJP7u1GWPsSpVKJl19+mUwmw+DgIP= 39/SSTSV588UWGh4dxHIfTp08zODhIpVJhZmaGeDzO9u3bmZycJJvN1g6mZLNZPM+r5Y4GR0mz2= SwPPPDA+55wqqup/dHxLFvbY7x9YZH2ZJiJTAnT9tAUiart8Y0Dk0gS3LUphestP+HLpstQRwOy= BCemsuzrb2KpZNHSYBA11r2MQN0zm60QD6mcnilgqDKeB/myTdX2iIZUoiGVhrDGzz+0hbGFErb= rUbFctrY3sK0nIUT0Oni+z/nZAu3JEAcvLDLQHufUdA5Zkpbta6iYjk+hYlO2XIY7GzgyngUJ5n= IVkhGN45NZEhGNppi+XKBHACxvKs3OzhKNRoHlU3UXL16sVbkPDuIMDAyQy+WYnp7mvvvuo1qtY= ts26XSabDZLtVpF13VSqRRdXV1s3boV13UpFArIskzjDTYhrBu1+dCWJg5eyPAz92+iLRFie0+S= kK7QmYowOl+gMxUhEdFJRnVmshUW8ibxsMbofIHGmEF/WwPn5grs7k1SsVxK5s0dv9uIdKYiVG2= Xpz/UhSJL9DRHSEZ1epuWo6Jc2aI9GUaVZRrCGotFi+7G5X/P56rEDA2hpddGliS2dSfwffjc/Z= tojht8aHMTkgQhTSGsK+QrNt1NUaKGiqbKPDLSynS2QiqqUzQdepujtCVCLORNfBAR6btIkkR3d= ze5XK5W0b6vr2+5gFEoRCaTIZlMomkaruuiqipjY2Mkk0nGx8dJJBKkUqlaBf25uTlaWlqYm5vD= 932am5sJh8Nks9kbygSom6k9LK+RViwXXZUx3u0j4no+xaqDqkiENAVJAtP2amt7tuvTlgihyjK= W46IqMqbtEtIVNNGz6bp4vk/JdJBYjpKkd79XtZbbMSgyaIqC5Xq4rociL3cYlSUJXRX2vRGCSN= 7QFIx3beZ6Pj5gOS741Pzd931Mx0OVJRzPR5UlLNdDk2VC+o0V0NhIBDULgi6gsFxnw/O85QaO7= z7pfd/Htu1aGb1AYOFStXxN07Asq5aAH3z/egWVbvv0p2DDQxHV8AUCwTohSVL9TO1vBSGgAoGg= HhBzM4FAIFglQkgFAoFglQghFQgEglUihFQgEAhWiRBSgUAgWCVCSAUCgWCVCCEVCASCVSKEVCA= QCFaJEFKBQCBYJUJIBQKBYJUIIRUIBIJVIoRUIBAIVokQUoFAIFglQkgFAoFglQghFQgEglVSF/= VIg9rSa11jWpKkG+q3spHwff8DsfPKzwLBRmPdhdT3fTzPw3XdNRvkgYDKsowsy0JQuSSgruvWW= s6u1taBTQM7B7YWCDYa6yqkwcC2bRtZllEUZc0Goud5mKaJpmm1Xi4bdZAHDyvHcXBd97o9aG72= 2rZtL7dbUNU1/RsKBLcL6yakweC2bRvXdTEMo9Z0ai0I+lCbprncxG0DD/DggWWaJtFo9H17dN8= KkiRRqVQumwlsVFsLNiZ1IaSRSKQmor7v8847aebminR1J2hpDtHQYKBpNz/4VVWlXC7juu6aiv= TtRiCkwJqLKCxP7TVNw7btD+T6AkG9s65T+2C6uTJ6WZqfY/zEIf7Df8nSM7yZR+/2OXg4R/9gC= 594ciudnQ03Fe0E66/B9H6jEayNOo7znjXRYrHIwsICmqYRjUZJJpO3FElKklQT69u4Ka1AcMus= +xppsPEBcObiRTJT4xSPfplf2eOjdt7NtoGdjNw1wtG5Vv7wv17g6fsiPPDhXgxDu+HXWJkVsBG= nnIENVopcPp/n2WefJZ1Ok0qlsCyL3bt3MzIygqIoaJqGrus3tVnneV7tdTainQUbl7oK06pmhS= /+1b/mvlSUzz/9UTp6R6jkc7z+rT8i1/frfPzjgxw6M8+Jv36Hn/pkPy3NMWTRkvmWmJqaIpfLE= Q6H0TSNUqnED3/4Q3p7e7Ftm1wuRz6fx3VdNE0jHA4TCoUwDKP2ORqNEo1G1/tWBIJ1p66EtKOl= hb2Dm/jsY49wdqHCgZef5+mBHP/ws0O88tYf8tbR/529+3awlE/wZ1+7wJMfTrF7ZzuhG4xOBZc= wDIO2tjZM0yQWi3H+/HlUVaWhoQFd12ltbcVxHCzLolqtUigUyOVyVCoVbNumUCggSRLPPPPMet= +KQLDu1NUOjKEbbEr10N6g0TvcjNOn8ecvfRcvd5b77r+be1v+koOHjpJMhLj/0UG+d6zK179xh= oV0Cc8Ta3M3QyqVwnVdCoUCJ06cwDRN+vv7UVW1tgSgKAqGYRCLxWhra6O/v5/h4WGGh4dJpVIs= LS2t810IBPVBfQmpptPfN8iXjv2A3zzyJ5iNEuaeYb726neQi4fY96HtPNDynzl5+CUsJPY/sgW= ruYM//cppjp2Yo2ra630Ltw3xeJyhoSEaGhpIpVLcddddPPLII0iSVFvrDDbqgs8rP6rVKpFIZL= 1vQyCoC+pqaq9rGlu3DvG7z/4F002TxCa+y+cHP8GRyhzPH36Fj30E7t67h+jJb/DqkRK5bU+yu= S9FU9LgG2/PsvVcjic+0k1jY0RsdlwHRVFobm7m4x//OJIkoWkahmHURHSlgAafHcfBtm1M06Rc= Lov1UYHgXeoqIpUkiU1t3fz0pk+gFMOcy03wRvpHfOSuT/GSGuHI2bcw5AOMbBvk8f7vsvj2f+f= UvIMfjnLf/b0shZv4s785x/nRjJjqX4cg4gyHwzQ0NBAKhS6LRK+MQoP1UtM0qVarVCoVUqnUet= +GQFAX1JWQAjREovzyI59iv3UPVkXhyNLbjFeO8uE9T/PVcZP5zGF06Q02D+7lqV0/wHzzz7iQs= ZiuaAxtTVFq7+BX/8WrzC9k1vtW6ppAIFeewV85nQ8i0SDX17btmpAGG07JZHK9b0MgqAvqTkgl= SaKruZU/eOaf0TE1SMn0eSPzd9hqloFd+/lPb5kUSsdRnefpGXyCzz10GOnAHzOzVOG7Z0y+dbL= ExMVJyuXyet9KXRNEme8noiun8ytFtFwuY1kWDQ0N630bAkFdUHdCCstHDoc2beZffuz3cC+2Ub= BMDmb/ho7mLsyuAZ49bGFZR5Gr/5PWTfv5uf2nCB3+Q46PpimcvMhnHldpb2tZ79uoawKBDCLSl= euhQRS6UkSD6XypVKJcLuN5nlgjFQjepS6FFJYj0wd27+WXe36H7FQDWXOeI/lvcPfWD/OO0sob= YxKefQKp9N9oah7i6e6/o+2Hf8ATqXf4x7/4JOFwaL1voa4J1jxXbiytjEKDqlwrRbRYLJLL5ah= Wq3ieh2EY630bAkFdULdCCss7y//bxz7Nh8q/RmkxxFz1BBcrb/Ghkf38t3GV87MyvnUBb/TPyW= YK7Nke4f/+zU/S29spdu2vQxBtXm1jKRDRlRtLhUKBxcVF0uk0pVIJSZLQdX29b0MgqAvqWkgBQ= obBb3z6nxI6+ykqZZezxZeoSAvs3PkI/+K7MsdPKpyc0nnh/D4e/smfobu7S1QgugGCaDOIPlfu= zgciGqyJlkolCoVCrcjJ5OQkvb29G7YQjEBwJbfFSGhMJPmNT/4u//K5Sdztr3OY79IpPcGJVIX= f+asOnvnIYzz2008xtG27GNw3iOu6zM3NYds2oVAITdNqNVtXFtwOhDRYCtA0jXvvvZc9e/YIWw= sE73JbjARJktjcsZlf2Pt7/OWp32CuaZLvT36HpXMaDw09yCc/92s0NjWJgX0TJBIJurq6WFpaq= hUnCYpsB/mkgagGdWNDoRD79++nr6+PUCgklk8Egne5bZRH13T2DtzDxMJv8q9f+g/Ycwo/2/dR= vvBTv0BzS8s1CzeL+phXJxaLsW/fvto66cpNpqt99n2f5uZmmsQDSyB4D+s+IiRJwnGcG1rXjIW= jfGLfU3TE+lB8ie1bh2lqbHxfERVCeomVtV8lScIwjMt23q+01ZX2u1YLkZUV+AWCjci6CmlQML= hYLKJp2nXbgUiSRKohwSMfuh/gffsw+b5PpVLB87wNPwUN7Bwk1V8rbelKO92o3VzXpVKpoKqq6= Ngq2JCsq5DKsoyqqrXd4FgsdlO9lWz72tWeghM44XC4JrgbcYAH960oCrIsk06nicVia5a65DgO= pVIJQKybCjYs6yakQbdJTdMIhUKUSiXm5ubWZIoYCHRQyX0jdxAFaq2SDcPAdV2WlpYu62+/mus= qioKu60Sj0VpEKhBsNNZVSIMBHkSNwUmb1a5rBmXhruw7tFEJBC8UCiHLMrqur0mjuuC6gZ1VVd= 3wthZsTCR/nXdjrqx/uRZvZ2Vv9Y08rV/JyvJ4wcdasHLZQIioYCMiSdL6Cym8t9PnWhCIpxjYl= 3O1jqK3ykrbClsLNip1I6QCgUBwuyJJUv2ftRcIBIJ6RwipQCAQrJJ1P9l0LRzXI1M00VWFZETH= 830yRRNFXj7/LSFhuR4LuSqDncuV2i3HoyG8cXvc+75PPp+nXC7T1taGLMsUi8XLNt2CZPxqtYq= qqh/IcU/f9zl+/Dg7d+5c82sLBPVIXQppyXT4xoFJzszkOTmV5/98cpg9fSnOzxao2i6W42E5Hq= mYjufD0YtZ4mGVsK5sWCF1HIdjx45x+vRpVFVl3759dHV1sbCwwNTUFH19faiqysWLF9E0rdb4z= vM8qtUq8XicXC7H3r17WVhY4Pz587S1teE4Dul0muHhYc6dO4dhGPi+T0tLS62c3oULFzAMg76+= PiYmJmhsbCSXyzE6Osrc3Bzt7e3MzMywbds20edJcEdSl1P7+VyVhrDGsYkczXGDhUIVx/WIhzU= q1nLCvul4VG0P03Z5ZzJL1FCw3Y27b1YoFFAUhZmZGQYGBiiVSuTzeVRVpb29nfHxcQqFAolEgl= QqRTwep7m5uZagH4lEiEQitTSp/v5+ZmZmOHXqFAClUonW1lba29vRNI10Os3evXsZGxtDURS2b= t3K4uIijuMwMTFRi0oBLMsiFouJXX3BHUtdRqSdjWFKps3nH96CLEls60oQMVRSMZ2S6RDRVWJh= lULFRpElhjrjFCsuyejGjEZhuSxesVhk586dRCIRYrEYyWQS13VJJpOUy2UaGxuZmppC13USiQS= Li4vouk5bWxvRaJRyuVyr+DQ3N8fmzZtpbW0lFArR2NhIuVzGMAw0TSORSDAxMUFXVxeWZaHrOo= ZhEIlESCQSuK5LR0cHsizT2NjI7OxsLe1KCKrgTqNu058836dquSiyhKEpte8F/eplScLzfXg39= cD1fRRJQpY37iANmtYBaJqGJEm1xHvP85BluXYEV5blWmK+oig1kdN1naWlJXzfJ5FIAMs1DXRd= r0Wrwe87joOu65ddO/gaqJ1WC17rRgrTCAS3GyKPVHBVApcQkaNAcH0kSarPqb1gfRECKhDcHGK= eJRAIBKtECKlAIBCsEiGkAoFAsEqEkAoEAsEqkQCxay8QCAS3jvT/AyX7E0yGWoV/AAAAAElFTk= SuQmCC" width=3D"338" height=3D"175" alt=3D"" style=3D"margin-top:21.8pt; m= argin-left:231.95pt; position:absolute" /></span><span style=3D"height:0pt;= text-align:left; display:block; position:absolute; z-index:4"><img src=3D"= data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAWEAAACvCAYAAAAsam+nAAAABHNCS= VQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAIABJREFUeJzsvXmQHNd95/nJu7KOrur7= Ql8AGgBxESAJnuItaiRah0eW5bFX9sx4vOtxTOxueDfCMbPe2LB2w16tN9aOnZ31xIxn7BmP5bF= lSSN5JVEiKZEU7wsASRD33Y2+u+7KO/PtH9VZ6AZAoEE21SCRn4hCo6ur8vjmL7/vyPfeTxJCCB= ISEhISfqZIkgQgyet9IAkJCQk3M4kJJyQkJKwjl5mwEALP8/A8j/fTU2FZVuu7juPg+/5VPx9FE= fV6nSiKrntf14sQYsW+XNfFcZz3dZ4JCQkJa8EKE46iiMnJSZ5//nmeeeYZ6vU6nufh+z5BEOC6= LkEQtIzadV2iKCKKopbhHj58mOnpaSzL4siRI5w/f54gCFqfD8OwtT/f96nVanzrW9/Csix837/= M/H3fb+1n+d9932/97vs+s7OzVKvVFZ+L/++6buscfvKTn+A4Dp7ncfr0aZ577jnCMGx9Jt52vM= +EhISEDxN1+S+1Wo1nn30WVVUZGRmhVCrx6quv0tXVRT6f58yZMxQKBe655x5ee+015ubmuP322= /F9n0OHDjE8PMzs7CwACwsLPPfcc9x///2oqsrLL7+MLMts2rSJPXv24Ps+Bw4c4MyZM7z44os8= 8MADnDp1inq9zn333UdXVxf1ep0XXniBIAjYuXMnZ8+eZWZmhgceeICTJ0/iOA71ep3x8XGefvp= p+vr6ePjhh9m/fz+e57Fjxw5OnjyJ7/tomsb999/P1NQUs7OzHD16lDNnzmDbNps2bWL//v1ks9= nWdyqVCg899BAdHR3rcmESEhJuDlbUhC3L4ujRozz00EPcfffdyLLMM88806pBnjp1ihdeeIGpq= SlKpRILCwv86Ec/4oUXXqCrq4vh4WHOnDnDqVOn+PGPf8zu3bv57ne/y7lz5/jxj3/M6Ogo3/ve= 93Bdl1KpxBNPPMH4+DgAZ8+e5dvf/jaTk5O8/PLLRFHEkSNHeOmll9i7dy8LCwscOnSITCbDN7/= 5TQ4cOMDU1BSVSoVDhw4RRRG7d+/mxIkTfO9732NmZoYnn3yS1157jVQqxcsvv0yxWGT//v2cPX= uWw4cP09PTA8D3v/990uk0U1NTPP/88zz99NMIIZKacEJCwofOChPOZDLkcjleffVV3n77bRqNB= ul0mh07dmAYBrqus3PnTqrVKk8++SSyLLf6dH3fp16vE4YhkiQRhiGNRgNFURBCkM1m6evrAyAM= Q1RVxbZtXNcFQFEUUqkU3d3djI2NxcM38DyPRqNBEAREUYRt20Czf3fjxo20t7cjhEBRFOr1OpI= koWkavb29jI+Po6oqQ0NDZDIZfN8nDMOWwcZdK5Ik4TgOYRii6zqPP/44+/fvZ2JiIukvTkhI+F= BRfu/3fu/34l90XWf79u1MTExQqVTYsmULuVyObdu2sXXrVur1OqlUit27d6NpGgMDA+zYsYPbb= ruNU6dOkUqlGB0dZfPmzezYsYPp6Wnuv/9+xsbGyOfzjI+Pk0qlGBsbI51O09/fz8zMDDt37mTf= vn10dHTgOA7btm0jm83S29uLoijMzs5y6623ous6nufx+OOP097eztDQEJ2dnfT39zM+Ps7k5CR= 33XUXhUIBy7LYtm0b3d3dbNy4kba2NoaHh8lms+zbtw9FUdB1nfHxcT75yU9y/vx5+vr6uPfeez= l9+jSDg4Ps3buXVCq1jpcnISHh48pXv/pVgK9KyWSNhISEhJ89yWSNhISEhBuAxIQTEhIS1pHEh= BMSEhLWkcSEExISEtYR9dI3kud0CQkJCT87VpiwEIIgCNbrWBISEhJuOpIhagkJCQnrQDJELSEh= IeEGIDHhhISEhHUkMeGEhISEdSQx4YSEhIR1JDHhhISEhHUkMeGEhISEdeSyyRrrhRBixUSRtRg= 5F69JfOnPhIvEOl/684OwXGdJkhLdr8Jax30S86vjRvKbdTfh+OTjXHVxDrq1DEZFUZBlecX7CR= cDMdZ9rYw41liW5UT79yDRfn241G+iKLrMkN8Py/0m1v7Sv73nd9dzska86zAMWy9N01acwAfdf= hAEBEHQ2q4sy0lActEEwjDE931kWUbTtDXTRgiB67pIkoSqqisM4WYn1j4IAnzfbyUYWCuiKMLz= PGRZbmkPiREDrZgPgqCVSWet/AZoZe9RFAVVVa/qN/FkjXWvCcdphoIgIJ1Or/mNGt/8juNgGEb= SPGZl4bfcBNZaF9M0sW2bIAhaut/s2sNFI/A8D8MwUFV11brE1+5qn5dlGVmWsW27lb4rKQBZ0f= IIggDTNK9pwM0C8+LvktT8573UNwyjla19ebxf7XqtqwnHosRGcL2BspqABFDV5mkGQdAqmW52M= 1gejHHhtNZIkoSu61iW1TKGm133S2vBmUzmmppEYUjoebi1GvbiIlEYku7sxGhrQ9F15CuYeFwL= 9jwPRVGSmGel31zaZbCcKBI4bki15lEsu1RqHkEo0HSZfE6j0GbQltVIGQrKFTxLVVUsyyIMw6v= up/X5NTm7D0BsBtfbJIiiCNfzcB2XdNq8ZlM6zpycLJVxkbgL6IqICJCWiv6rISASQASScsXPx9= 1BifZN4prw1bJ5R0FA4Hk45TK1CxeonjrF5FNPMZZOo8syb05OsuGxx2jfvp3s0BCpjg4000TVt= NY1iBPuLo/9m92I45a3pmlX/LvjBJw+X+ONdxY5NVFn/JYuNgxmMTSVih3wxsEiExMlbttW4Nat= 7Qz3ZUmbK7uSJElasZ9r6b7uJrya1PJx7WH5y3E9zs+V8IRKl2XT09l+1Sb1WnS+f5xYrmUL30F= YC+DWEV6VUM0gF0aQjQySiCAKIQoQIoDQB88Crw5ehcC1CHv2YmQLl12D+OFHQpMrar9E4LrU5u= aonD+Pc+ECxTffpBAEDJkm4729KEGA5HkM9vbivvEGM6++yqEwpP2uuzA3byY3Okp+aAgjnQZY8= eDpZjfgmPfym0rV5annLnBo0uK++zp56OFOsikFTW5WEP0Qdo9lKdtt7D/t86ffO8NDu9v5xJ4+= Cm3mZfqu1nPWvTviWkRRRKVao2H7uEGI4wZYjk/DCyjqnRjpFF6jRhQt0tfdmRjx+0SEAZx+EmE= 9DWIOSXOJZgxq+S+R7xtBCqsQNiBsIMI6UlSDYB6iEpLh4M+eZ2Lxdxm/4+Gr6p/Q5EpaiChi6q= 23eOvf/lt6Uyk2Dwww1tGBLgSS54HnNWu5koQiSaQVhTFFYSiKsN98k6mXX+YFy2LDb/wGex977= D33c7NzJU2qVY+vf+sEM1rII48YdLdV8EIbx88QyiqLjQUiESJofnfHiARGiv/vpQkWSjV+/uHN= tOcz7+t41r0mfC3CMGRypsgrZwLeOVOkWLWp1B0i4Be+2MFAQace5pm1q0Sz8/T3dCVp6t8PoU9= 09uso+06AUIAutFwnuYm3kawzSDkTDA00F0mpIMkVkGsg1QELWVygdvwI4d4Hrti3n5jB5Vyqie= +6nHv2OXZaFqJapVKv4+XzpEyTtKahQfOBkCQhWGpaRxF+KkVYKNAzPs7U1BRTs7PsXuqPTLicy= 3T3I554+hxHgyL37fIx9E5UpY+00UZa04iEx2K9SCiaQwmbj+UEfZmIvtHjfP/tXjqyGp/6xCbM= lHHdx3PDmXDclxKGzTF8ru/jC4Xu9hzyuTpnZxawXQ/bCfjzr7/Mo/ffwh07BtBTeebsCtLcPL3= dTSNOml/XgawgvAIovwthO6AitwXIuwNQas2XXAW5DFKl+aIKogFeBUWx0OoTV+1vS7g6gefRmJ= mmfWwjOVkhatTxq1Wmzp9HNdOoKYOcaWIAXhgSDQwghofJPPQQZlcXUiqF/q1vMTwygq7rSYKGV= TI1XeeFU0VOhj/mU6lfIWOOICs6gZBo+BGL5XnKFRtNM4iEjCTJNOwiURSSDT3ONp7kWy9qjI8U= uGVz/3X7zg1lwkII6vU6FxYanJwX1G1B3QoJJY32nMKezQOYpo6v2Dz78iQpXebo8UkGOky6t/S= BXGC6VkbMLtDb04lpXt5Pk/AeKBqROgJuAZQukB2QGyDbIDWAKlAGKstMuAZRFRrzyBqY7iRBrY= ywykSagZwtrO85fUSIooiphSIvHjzCiclFdmZr5Pt7UTq70Lq72bhhA1GthlMucXxigr7HH6frs= cdQ+/qQdB1JVZu1Y99HzM2xEASEd9653qf1kSAIIr7zvVOctM5R1bbzyuwormIwkAMNm7mZY0zP= nSYIfSQkVNXA911qdoN3Th7jqTeeZ7FuMfzAY7x9dIqNQx3X3RK/oUwYQNM0ZCIuVDOcnFWxHR/= Xd+lp9xjtltnQ08HImMk7R0pEYcgn795APtNsyuVMg6itg+lqCeYW6OnuJL30gCLh6kiShGjfhL= BnkLJZoAHUgRpNA66CqF18UYOwCNY8uAJZkukNn0V98cv47iQnK59h7Ct/iGYkXUPXYnqxxK/+w= X9E7t9D721f4es/+hPuOnmSnX09tPf0oBQKyF1dZHt6UXt66P7KV9CyWQBEGOLOzTH7/PMcfuop= Th05wtBv/EZreFTC1anXPUq+RLG6yODeLzJR1yieEfRlJVRrmpMHn4KwgSIr+IFPqVpjZnGeycU= axXIRP/ARkcJc6TivH5F5cN8o/X0fYROWJIlUKsVwfwcPiwUQad6dlNEU6OpSGRnREbUG/TmZf/= r3dzAxW6HN1FBlqNfrpBQJ09AJs21MlT0UeRHDMNZ0RszHGblvG1R/AJkemgbcAFGFqAJRCaJFE= PPAYvP3oAGBAr6BFECmZwo/PYWdNZivFdik3FDhdcNy5OwU5+XbCYs9nPEXOLTvv+EH1iz9599m= 7+uHuDst2NbbTaGzk1BXCVyX0LIovv46x554goP7D1Bsa2Pfl3+Rx3/nd+jt729NGki4OvW6j5z= TmJl7mePffYKhTY+wefsX8MMRdGWY89IY7777LcIwoFI+h4hCkCRkRcXs7GJ06E4Caw4nKjO54F= KpWfT1Xt/zjxvuLomNeKi/k0flRdKqgvAabMxZGBUJVUshyjabTNi+KQW6TDnUaAQSlmVBGOLYN= kN5QS6bS2oD14HS1o2YmEPqr0FUg6AM1ixUz0A4B2oVNBs0H5QQhAmhAoEOrgySQjgTUHML5Dbd= iZqMDV4V8+UqemcvZIaI3D4s16UqFzk7NsTBzY/xzfIEmy8c4OH5CTaZIa9+9atMnDqF29fHhoc= fZtNnPsuGSPDoIw+STiddcNdDEEZ4oYMvFfHEDKdO/iUN5xy7b//vaWsbZviWLzK07bM49iJPfu= 83cOw5kECWoH94NyMje5BEnaH2QSrvVvD99xh3fxVuOBOGphGbpklfV4HbrAkECl29mxGhhLNQJ= KjZOLPzNKp1ot5uenaMslht4Ng+oScxlNfImAb5fB5ZlhMjWC2pLFG1hixqYE/DxGGoFkEXkJJA= T0EoQxCAHALS0u8qlCXYbxKkfBbDYbof3oosy+89GSShxWh/N1rtJJ5WQE6lUdJtaG05Im+AwLG= pGn1sfngvD39ihHDmNLVyibtHRsj39BNKKq8dPsmzzz/J0KY+tmzYSHuuLTHiVaJpMoYkY+QUNF= VCCEHNfptq7TSp9BCSrCCRAr2HXE8fQWkOWVLoaN/GnXf/JqE3jfACxoc2886xN1GU69f9hjThG= M/z0HWD3r4h3GIV//BhMj95EvnCBKXuAWa23k1xwwB+VWG0XSObybemP+u6ntSCrxNJSyEcwK/A= iQMwdwEMA4QBkgGRDKEKSgCyoDlOSgZPhnctJHUQt+ww1387o129iRGskp0bh/jlnaf4waGfMB3= lkbIjSHoHSiqHYubJtYX83F0qm0e7cQa7qDQcpherPP3qSd48dpBDF94mlT3N73//MI/0Pcw/+6= VfWdMFgT7O5LI6US0g19ZGQ5vG0PKM9H+Gof59oCiES/M6ZEmhvXsYKzpMW2aEfbf8OgPtnbx+5= K9ouBfY1rOBgl4nl7l+3W9oE56fn8d2XDzXwTp+FCYvUOkfZX54K9aOe/FzvUgCpLCO63p0dXYk= w6M+CIoKoh1RKyOdPdGcGBC3IoTR7Hbw1WZXhLz0fijDpAO5PHLHPNG7BbKb9mFmsut3Hh8xcmm= T/+4XHmbz8Av87dSPKFZ0ps8VcMrjSKlRXCPFTFHl9eMzvHx0gteO7OfMwiGk9BRdvTp3PDTE/R= v/CfPnbGpnStecgZpwkUxGoyersFXaS70yyWM7f5vO/L1EUhYvgjBqzsqXJJntGx9H1qbYOfQlN= vbsRJEW6CroVOfmmJ+qs2kwQyF//a2QG9qEbdvmBz/4AXfddQ8bNowibdyCHyoYgYQUgIRDWmmg= iQa1aggD/et9yB9tJAmRHoaFd6FRA3WpVBcCwhA0DTQVFAUUgAgWXDhcI3rQxyt1YM2p9G68tbV= oUsLq0FSF+doCu+7oIdWlUK1YTE++ypl3X2DuXI7f/4YEwSxtPfO0DUjs27WR+zf+I27t3UlXup= OsnuHJ0svYI/mkInIdKIrMFz67mclvuNhDM+wZ2Y2utNPwwQ0hiC7WQ/qzt7Fr8GvkjCxZHVKKx= F1D/4TZ4if5ztcP8Su/eivptHndx3BD3ymZTIZiscgLL/yU9vZ36OrupS2fxzBSyLJE6PuEhkY+= n6e7uztp/n5AJEki2vYg/kv/Ad2ogptuTpgXHiJQEClBEIUEQUhYFwQVqB9VKAcd1H+UJzT7ie6= 9nb3Dm5KuoOtEURQ29m3gxOIhejpzdHW30d1TYOsOj2q9QalYZeG0z6P9P88jW++jJ91JSk2hyg= oIsAOXBb/CkRNH+fynPpWMCLoOenuy3DqYxZl/lI6UTVda0PAl3AB8cdGEVVlDVzoxNchqgryho= 0kR3/lmlQdu0bhlfOR9xf0NbcJDQ0PcdtttHDt2jHq9ThiG1Kpl0uk06XSaQqFANpslk8mQSqWS= G38N0IdvoTLx2/jv/C5hrYE36VMMcyzoBerpAbRsP6m2fozOQfRNPZiPdtOZzTOYSWMYJlrKQNO= vf+rmzY4iy9y2cTs/+c4rvHLgOH1703QN5mnPt9Hb1UFPZzsDcsDPDX+S/lyzwuGGHhcqizx78k= 2eeuUVZifm+PyOe5IH0deJosh8/rPbmP+LBhf2B2z/ZIiaU3ECgR+BEBJIoEpgqGCqkNElPNfjj= //8DTL2EX7xH36BXC77viqC65pZI15U3LIsUqnUZRMrhBA4jsOxY8c4fPgw9XodXddJp9NkMhny= +TydnZ309fXR1tb2nqW/EIJKpdIadbGWGSQ+isRLKTqOg+d55PP5FdoFnsfssXdZWFhAb+8k29F= FOpNpaXc969MGQUC5XMY0zdYC5jcz8VrCtm3jui5dXV0rdIyiiOn5ed46eYxvvPIEs9oMo/e10z= NQQFvM8msbfpmUavD82QN8/bkfMH9ikX0bxnlw1x3cvnMnXZ2drfWhPc+jVquRTqdbD6pv5riP1= xKu1WqYpkkmc3HBHSEEnufzt98+yFunfH7u50eYSx8mrRv0Gn0Ewqegt9Fp5NFEmoMnqvy//+5Z= bh2q8E//8ecuu46lUglFUVoLx1+pghhn1rihTRhWLoLtui6e5wHNhZMNw2jOsLtGcCUmvJJrmfB= akpjwSq5lwsuJooi5YpH9Jw7zty/9kIpRwfcVyhM19vSN8ejufezdvoOe7m4Mw7jsRnddl3q9np= jwErEJ1+t1UqnUChOOCYKQY8cm+PO/Psh0IGjbaeN3TOPJFqqfJT23kdmDIV36LH//07u45+49Z= C9ZmF8IQalUQlXVG9+E41xYlmWh6/qqsgwsP9zVBlQURVQqlVbJdD3pZD6OLDdh13XJ5/Mfmjl6= nke1WiWdTiezF7lowrH2HR0dq+pG83yf+VKRYqlEWzpDd2fnVbvg4lakbduYppmYMBdNuNFooGk= a2eyVuw+a2rlMTM5x+OgFpqfLOK6Lokh0dZps2TzAxrFB8vkrt76jKKJUKqFp2qpMeN2rJXGzNs= 4Bdy2DvN4giqII13Xxff+mr4UtJ9Y9vllXk2/reogX67csq7W/hCax9lEU4TjOqp5n6JrGYE8vg= z2919x+XMjatr1ifwkXtXBdt9WSvlSbZos5xZbxYcY3D61ISnCt9Gix38RJRFfDurtSnAvLdV2K= xWKrprpWeJ6HbdutrLNJMF4kLqFrtVor6eRaZlu2bRvP81oJXBPtm0iS1NJ+eVfNWhGbe5zMMkl= 7f5E4+7frui3t17LycSW/uWYOzDXb+/sgzgKrqiq6ruM4DqVSac3S4cTBrut6qymcjKBoEmujaR= pBENBoNKhWq2s20D++rqlUalX99jcL8U0Zx2UYhtRqNcrl8prFfKL9lVmujWEY2LZNsVj8UPxG1= /VV+82614QlSWoNLlcUBd/3iaJoTcwgFlzTtJYoSdPsYo0ont4dX4MgCNYkIONgjAvXuFaQ0CTW= J36YFmu/Fum3lheu8SupeFwk1huafuN53ofiN5qmtbpWr+U36/pgDi4+aIuzwi5PTPhBiUu+5a/= 4/YSLI0/ijNdrWSO4VPuk8FtJrPvyV6L9h0+s8aUxvx5+c0OMjoiJD+HSn2vB8gBMAvFyLg3Atd= L+Us0T7S/nw4r75Zonul+Z5XG/1n4T/7xmDfhGMuHlfBiHkwTitUl0Xz8S7deP9dT+hjXhhISEh= JuB2IR/Zj32QkAYCaJodZ4vxJVLqbgZEW/vvYiWPhNva7X7vVlpXZ81LJOT4v36EUvLNF/rM2t5= nRJW8l73wtX85oOw5qMjhADbDyg3mvmt2jM6KU3B8QImihaGqtCZM9BUGYlmmhA/FGiKtOIkg0j= g+iFpQ0WiuchGGEZ4QYTrhxi6wlzFYbgrQxAKFFlCU2QEAscLmas69LSlUOTmdmcqDht7soSRwA= 8iFFlClpuTFZbvV5IkJCAUAl2VkT9mzToB2G5AqeEhSRIdGR1DV6hYHsW6i6LI9OZTLR0UWWrpJ= clNLS4tTA1Nxg+iZu4tCYJQIEtQrHt05gyEEK0mmljS9WZvLgsBlhdQbngIoCtnYKgyFdvHUGVS= mooXNLOSKIpMEEbIktQyBscPMfXmCmqKLBFEAlmSUGQJL4hQleZnZSRUReYml/uKCCGw/ZCK5RN= Fgs6sgaErNNyAmYpNZ0YnbahL6wnDXNWhP28SCYEiywRRhCpf9K34+mjX6RtrbsK2F/DaqQV++N= Y0thfy6M4+HtvVR9X2mSrZjHRlOHC2iKZIlBs+4/05TszU2DGY59xiA0NVWjdqJGC+5mBqCqPdW= SYWrVZwBaGg4QZEQnBmvkFKVbh7cyd1N2D/2SKWG7Klr7ntjb1ZFmsuG3uyTJUsTs7UaM8aDLSb= nJmrY7khhirjhRGmrtCR0Tm3YLF7uEBP/uOVLbhm+7xyYoEXjs5TbLj84l3D3Lm5i9mKg0Bg2z7= FmkvDDZBlib68yfnFBsOdaVgqMCsNj8W61wq6vaPt7D9TJGdqGJpCueHRXzB5/fQiD97Sw/lFi4= zeHB5oewF3j3ehqzf3kLWa4/PTI7O8cbrIVNnm1x/cxO7hAhOLFl1Zg5wJzx2ZJa2rDHWaTCxaD= HVmuFCy2DbQxmLNY7HuoqsynVmDyaKFqcl05VIcvlBhvC/HhZLNhg6T8b4k3dGVsLyQZ96d4dBk= hTNzDX7t/jFuH+tgrmIzV3FIaQrvTFRw/ZDx/hwzZYfFqkvF9tnQkWayaLGxJ8vBcyV62lJYbkB= KV7hjYye6unq917w7wvZC6k7AQs2j5gRkDIXpkkMkQFNlTL15k75zvkKx4RJFgoYTsFBzUWWZjq= wOEuTTOuWGR8Xy6SuYnJip0pHVKaR1ZsoOCMHGniwnZ+qYmtKsjYURUyWb7lyKbErl1FydmYrDX= MVpNfFeObHI5r4cjhdSrHtcKFrNwB5sa07h9UOOTFUZ7DA5v9D42DWp56sOhiZzbqGB5YVEQuB4= zcLM1FRypsaZ+TqSJJFLqbwzUWK0O4OuyixUXWZKNtNlh4F2E9sPGFjS6dhUlbmqQ8XyGOnKULE= 82jM6ktRsDTXcADcIcfwIP/yYifo+mKs4ZFMqJ2drzXvADXD8iDASBFHEYs3l2FSVmYrN2+fLjH= Znma86bO7NARILNQchIGOoLNRcBtpNpssOb5wuslBvFqLWUiUlSLriLkMIWkZ7cqaGH0RUbR9nK= VFnWlcwVBk3iBjtzjBXdfDDiHMLDc4t1Hn7fImx7izzVZeTszWmy80p4lEksL3guo5lzWvCbabG= toE2vny3QkqTyZkaw11p6k6AH0RcKFrcMpinI2vQntXIZ3TGerIYmkzDbX6mK5cin9bIpzVOzta= w3IBNvTkWai5pQ2WkK0PN8Sk1PLYOtBFFAkkCVZEZaDc5OlVFliTG+3J0t6Xozaeo2c3ukTs2dl= BueGRTKlXLI5NS6cmnyBoqgx1pSg2PfKeG60f05FMfu2bcUGeaqu3zaw+MATDQniZramScYMlEf= e7b2sPJmRply2fHhgLzVZfBDpO6ExBEgg0dJr35FH4Y0Z0zCEPBruECGzrSBJFodkHQbMLpqoLl= OuiqQm8h1ewGWV8JbgiGOtMs1l1+/aFN+KFgpCtDzlTJGiqLNZf2rMEtg20MdWZQZIm641PI6Cz= WXfoLJgPtaRZrLjXHpy+fImfq9LebtJkalhvQ326STam4QfSxi+G1QJJgQ0easuXxlU+M4QYhm3= pzZFNqq4vCDyJ68gYd2aWlQcMIWYJMSmWgYFJ1fLpyBntG2ukvmOiqzGzFQZGvT/APZXREq89Qa= vZXxc3WIGyapby0cExTDIkoEsjyxf6u+CQsN+DkTI0dQ4UV/WHy0ndY2lZM8/8Cf9l+IiFan4n7= h+PtCNHskxaAKsuErVkzzeNTFOlj1ycMzesTLhVcitTsG2+9ByhL/fMSK6/Pxb6vlcNw4j70+PP= xX8Il7WO9JSQEAlVO+ihhZd8664hMAAAgAElEQVS6LEut+Azj+yFaGcfN6L4Y80KI1u/SsnSAYd= R8RiJEszNTkaWk4HsPYj8QS33rinzRq2JdY20FrPAtsRTf8b10Mb5XNz77IzNEbSmOEhISEj5W/= MyHqL1fEgNOSEj4OHPDm3BCQkLCx5nEhBMSEhLWkcSEExISEtaRxIQTEhIS1pHEhBMSEhLWkcSE= ExISEtaRxIQTEhIS1pHEhBMSEhLWkcSEExISEtaRxIQTEhIS1pHEhBMSEhLWkcSEExISEtaRxIQ= TEhIS1pHEhBMSEhLWkTXPrPFB+TCWN07ya62OtdY+0X11JDG/ftwI2t8QJixamS7EZe99EC4VIw= nMy7lU+7UKyjjzQKx5ov3lfJjaX+n/CRcRQtwwfrPuJhyffBRFrddalk6yLLdeMUlgNokDcbnua= 2kEkiShKEpixFfgUu2jVmqtD44kSZfFfaJ9k+UFXhiGa+43sfaKoqx476rfWc/0RnEgCiHwfZ8o= itB1vXUDr8X2oyjC8zw0TUNRFGRZTgISVhiA7/uoqrrCMD/otgE8zwNobXt5QXgzE2sfhiGe56H= r+pppD7RiXpIkNE1rxfzNHvfLK3zX8pvmNQKBaKVYU66RO26536iqiqqqV/WbOL3RDVET9n2fIA= hIp9PveaPGSQ3jZJKrJQ5u27YxDCOplbGyFhYXUJqmrU6TuMxexWdN08S2bXzfbwX6zax7TFwL8= zwPwzDQNK31/gepE8X3TlwDjrWPKyAJFw04DENM07yi30SRYKYScGbepeFGOH5EzpC5Y8ykLaNf= dfux3ziOsyLerxb362rCsRH4vv+eNSUhBA3PouJVcEMXQzLoMjswJBnCAGQFNP2qpqAoCkIIgiC= 4rKlwsxIbQRiGpFKpVZmjX6/iLlxAllW0jj7UTPaa39M0jUajkbRCloiNNgxDfN8nnU63/haGId= VqNf4kgotZkqWV/yyVhRdbkp7n0dvb24ptWZZRVRXP8xLtlxFX+q7WMnP8iL95rUJVStOZUTE1i= WfO2ODO8vBtG66po6IohGG4ar9Z95pwFEUEQbDiQIXnEtbr4DlUPYv/Mv0yylCELwX4jk/bcYUv= pbvRawtIqg633IPUOwK68Z77iQP/Bk8u/TMlNuHV4Ds2537wp3T2LCA8mHbG2fDIlzCybavaz1r= 3vX2UWd4fufyGjn+PW2ye57U0a5qqgqo2WyxxV1J8DcvlMlEUXdYXGe8n3u/NbMRxpS82x/dCki= SkMMQOQzaPGOzsVzm9CPOl+VVpGF+f2G+u9Z11rwkv/wkQ1mtYh9+g/uZPqVYalFTBN3vPMpTvo= CYaWK5Ftb5AqvQYd225BRH4ZJ7/a9J7PkNq621IioJAUHSL1P06A+YAqqyu6UOnjwPL++Ov8UHC= apXK/lfIXPh3aPo2Ij9AOfkMs9l++u96AC2TueomEgNeydW0j7sSJEmiWCyCkAhCn1wmSyRCjFQ= KaD78ic1Vkt67trX8gevNbMAxq4l5Q5X41U+08/XnZjg0pTPaqeJ4AqFeXwyvNubXvSa84kCFwJ= 04hfXCN5AefYRvHxrkloEC91Re4+9e+1NmxTxeI8Qsppnfuhll9FNEYchBq4sdT30DbcM4ZLO8W= zrEd6f+inrd55/v+l9ozxRa+0rMYPVEroN96FWs1/8OOarRfvcvo+TTEHp056aovfmnzB1/BvOu= L5Pfvfeaza5E+4u8VyzGzWUhBH4QIiHwXJ/AbHbbVes1JGRM0yQIfBRVI7XsWceVtpewkmtpIss= SHW06fXmTYzbUXLB9eOucT/h8kbwps33IZKjbQFM/+MPmdTfh5Ygowpk8ScY6BOlHEIbG3ds2sv= tML3sGxjhXPIEppxnKj7FjeDuGnAJZ0De2h7fOH2N4/3McGCxxJPgh9brg05l/TC6VXe/T+sgSl= Is03vp/aHtwA2rhdpSUhSRpIAzUgSHMXRn84gne/OP/gc1f+yY9PT3vua3EDFaHQGBZFo1aHUWW= 8P0ALwgIAh8/8AmDCIgQUYTExWFoF3uPE67FamNRRALbh6oLgazjdG3ifKRSnA35zoESv3qXyr0= 7Oz+wEd9QJowso/QOU5ysMli+QI+W4nxlC0MZkzu79nH3pjtAgr85/le8ffI1fm37r6PKKm0pg/= rmrfyr83/M3i3tLB53+ULut3hk+8NoqpYYwPsk8hwkXULRDPDqSI4NaIBAkjwkSaBlCoSNY9Qql= auacMIqEeD7AZbjgCxwHZ+GVcfQmg/ZHMchlJqP7CIEJiaqqtIcO5SwlohQ4HiCmg+39MqcmNVY= qAn2jhjMFXr5ox+epysns31jxwfq6rmhBm5KkkRqcIyqNkJ45A0eHq3wo7dnCDIRUS1CAhRJoif= Vw0L6Jf7s4J8yVZ7hqbPf5zX1P3Hfg2O89pbNF8x/xif3PIqmaut9Sh9pIs9F9kFpyCiBCdVFqM= 5BdR4qRSjWkIoBhixhl8tJYbcGCCEQUbg0FFNB01RM3UDVVRRNwXVdvIZFpV6hUioxPztLvVajV= CoxOTnJ2bNnmZ+fx3Xd9T6VjxQiioj8gMCy8RsNQscl8gMsDyoO/PSIg/v2c1TfPchTBy3yGZn8= 8Ab++qnzRB8w7m+smjCgt3fS8/l/RO2p32Xk7geI7Als0YdShiinoBqwp3Mfzx78EZu2FPmX7/y= v7N7Sxi6zhxfemKPj7du4/7fvS4ahfVCEILRrKJqP5MwjKWkonQQpLrcFSAJJlsn1G5Tn5tb1cD= 8uSEDKNFFUtTX1OwgDdE1HZATTUzM8/eOnSOcMJCkePy8Io4jAC/Bcj3vuvJ9HH32EbDbpirsWQ= gj8ep2FV96k9MSzlF5/HeH5aL29TPc/SOO2X6DmmtTtiC/u7eOBO0f559+sMV8z6e9QeOvdEMd2= yWTM930MN5wJS7JMauMOJis6HbOnuadf53xtFyNmhkYNVEkipRe4r+PzLHhP8ehtw1StGq8eqHK= H8UsUPrmLN0/Ocd+uYeTkafD7JgoCGudOkJWrSI0QIh1K5yCKmk4hq6DqoKfoHFWYPHPqsiFSCd= ePABzHoVaroigaUdQ01mw2SxD6AEzPTfDr//BLBJFHGAUEkY9lW7x78DjUPRqNemsCSMLVcUtlT= nztX5F57jU6R9vp3bkJOZNB+D77T0xib/GpumC5gBCkdBnh+izWPULZYc6a58zieYbkPrJGFkW+= /vi/4UwYINU7iN13N+6ZA2zd3s8fvTrJb35yG2FVEKYlvEhiW//t/MlL36d2yzmmT6fYoX6Bkf6= 7QFF56UKFW0ZsuvLpa+8s4YqEtk31nVfJD8xDuQJ2CMXJJROWQFFAM8FIk+swcQ8exfc8FPP91w= gSAASyLGMYKWRJJoiaD90kSUJVNfRUioG+DRx97SyCEEHzYZ7vBfiLKsJTyG7MrfdJfCQQUcTMM= y9gvPgifb/49/CLC0z856eJCmmGPvcw5u07cWWNmgeOD74vqDVCyq6HO/8sNekl9F2L/OEBnY2Z= fn7hls+ytWczunb1WXWXckOasJbJ0P3gz3Phyd+i59ZHGU2foeRuwrAUFE8CTUJRc3xi4Iv8ZP8= 3ubfnc2zbuI/T8xFbR9NY9iwnnnmKjs99Fjmpmb0vgkYVqsdR22fBE6CVwXMvzkz0XXAaYGvoRh= ta6Tj1SplUYsIfCCGak1tc10NR5ObMOtdD0TQC30dTVf7eY59pTXl2XRdZlnFdlx2jBp7ns3HjW= NI/vwpEFNE4e55sVx6VCHdhkXndwNqzhdTTPyXYM4idbQ5Rkw2Nl0/BgfPnOWm9yea2d/ilXXdy= vjZFf1sPNa/O7z/1R/z+p/8nNvaOXddx3FAP5mIkSaJz1+3MWX0Y1SPc03eCszNFaFexyiG+kPA= jmdH+vXx5z//Inp2fwEhn6ckbGHJEae445sH/hFsprfepfCSJfB9r4gT59CnUoA56AbQs5MehYw= e03wK5MdA7IBDIjUV6jFNMHz5EGATrffgfceKJHCGRiBACIiGQhECWJFRVwXU9fD9AVTUc1yMIm= qYdhRFRJDCuMnM04SKSotB+zx3MzZeZ+C8/YvKJlyjXFsm8+Q6KCPArFrYnOF+EjoLGfnWcF32D= dM/z/MLuvRwoH+J73/lb3i0d5fbucfx2ifPzk9ddAN6QNWEAs70DaeQxrMkf0t3XxQ+OnWZksI+= gESF1yniBQFazFDqyhBJoKhQKOm+cKtEWTdI/doGJn/6QzZ/7ZaRk9a5VI6KIhTdfpPzdf8Fw9z= RSpge6doPRDmoWFJ3mOCoL7HmoTyDVJ9g0Ms/xH/wBU9kM/Xv3oSZ9ku8LIS6ZyCFBBEsP6EJ8P= 2Bqagpda67+VSmVUVUFy7KIwoB6w16aJbeup/GRQJIk8ls2c3DHONVvP0F/SuO2DV1o2RSKrpOu= LVI+v8iJSYd2r4ifK+DxNrseUhC6y8mTh/i5TY/x8tFDfL1expqo0rHz+oer3bAmLKsqI49+kZP= f+BvGtmbJesdZqO1Fl1J49Yh0XkWRBPWGy8kLJc5OThHUTzKoneZXNs9jRuOcefV1vE99ESNpIq= 8KIQQL7xxg8Zv/LZuGTqOlDEh1gmpCfiNkh5smHHrgVaAxA4oBkkwuCtluvsvhb/wLhP5/Mbjr2= jPoEq5Mc40DAX7YNF7XxTMMXM8lCHw6OtvRVI1cNksUhUhIaLpGJp3BMFJLQ6YSF74WYRBw7odP= 0vPCS4zsGMLMZZk6eprjZy0G0jqf25PDeP13eamtg9/8N/8zc0WPHx9Z4B3DYcafoV6r8Om7H+P= T6mO8eewgY3s/xVjfyMfHhAF6tu/gaLidtPMid/bv4uj0LJs2DjM1V+St10pcmF1g0Jjg3g0zPD= 66QJ9WQrMXoDrFzPEyQd9vourX10l+MyPCkCN//DW2ukcRuQiGOhDtW2HwQRh8CNrGIAohsMCrg= lsEexZqE1A5iVk6zph0mpe/9We0j/4BuUJhvU/pI4cQAlVVSaVMJFmghQJZaS7qIysSVsOip7sH= SZbJpNPoho4iK1SqFTKZbHPFOllOasKrwC6WmPnLv2a7IdGhqRzd/zYHbr+D3J6deH/1N7SV57j= fniXcsIUtY11s36oj5bfz+rEnmHYuEHUFvH3mXT5z56f43878H8ydWcCXfofP7/v0dR3HDW3Ciq= 4z+MCXadT/JWOjWf7uez9k/wtVtnbP8KWxRbaOlcmERZyFCtU3LI7OC2r1LI2gG9HzKHv+wReS2= th14JTL1F5+kXPtAUerKtU3bWocxI7OEhn/mYc+EWJ0dUDosXi2xBtvpVAkibQB+UxAIWuRV2t4= F96kMj9HNp9f71P6SOL7Po5jIcsKCIHn+Rh6c83tIAh5+6230XSNQj7P3Pw8iqJiWRaFQp5G3WJ= gYICkJnxtAsdBK5cxrDpCBJQaDdrv3Yd8/CSa1UAqLiLqNXzbYvrIEQa2b2f74BbSL5ic7jxL20= CW//vAv+Zf//W/R9usE1UkZoqzq16ZMOaGNmGAnl13ceBPPPZ+8fv89r0hjRkXa05QO5zhjbCLS= LkVJT1IqmeE3J5RNgwMkuvqIpvLoS8tbJI8KV4dgedyQdKZmkmjzgXIlEGU0BBIKhSzGfo/8Tih= 41M88BbpwzZhAC4Ss5LElJDxJQ23J8PWSoXB9T6hjyBCCAwjhaoqSJKMEILs0vhr2XFQFJnNmzc= hyTJmKkW+UEACHMcFGdra3GS1tFWiminsrgKNM8fINepslELO//7XSEuCgq4SLkRkPZ9bXnmVtx= //Ao2/+DO2PPwQv7Xvv+Z/f+0PqQ1VMDelCPyIcNrhHuc+Hn/4MVJGCsd2Vn8cH+I5rgnZvg2Mf= v7/5J2DzxNJJkZhgMydGxjt6SPb0YGZzaLrOvLSivZJAL5/0t093Pdv/gNnXnqe2oXTBOVZaJRQ= fBsl9Dg7F3L27440nx4FG5A3KQhZI1BNAjOP1NZFrm+YrbffyeCmzUnCyfdBszuiOV350nhuLnE= pL40Lbi7WHvgBQggc1+H48RMEUcTw8BADA/3reBY3NrGmqUKB3l/7CqdOncCZnCAfhgwKwaKmcV= zTqDQadPo+XUDdrlFbWECWZR7efR+dma/x1KGnOTF1nIyS4c6hu3hkz/30d/ddd8Vv3U04FiReA= PnSm1XVDUbufpjB2z/RTBypXh6c1yJeAFtd+m7CSuKAUTWNW+5/gM133Y1j27iOg2tZ+J5L6PtE= YYQQSwkp42SSqoqqG+imSco0SaVS6IbR6gZansAy0f4icQwvn2UYL+QehuHScOxlhRgSSM2sDcV= iGUWR8X2feq05O852HHp6erAdl/aODgzDuO5m8c1CS3dVZevjn+GYofPWX/4l0vQ0vmGQ2n0rA7= ffxrGf/ITo7FnCbJbO++5j9N57kCQJXdO4fesudm+6Bcd1kSWJ1FLrBVbG/KqOZz0Tfcar3DcaD= YIgoFAorKlRxkN9HMehXq9jLpnEzW7GcYYBx3GwbRtd18lkMlfsP19teFwpUWKcrieKIjKZTCuh= 5c1MrIvjODQaDbLZbCvXWXxdrqa567oEQYhYmj4eRQJJim98iSgKaWtrQ5ZlqtUqkiSRTqfXNIH= uR5VL/Safz6NpGmEQYFWr2PU6sixjtrVhmCauZeHU68iqSnrpvWvpF99Xsd/E1/ZKmTziRJ/rbs= JxQFqWtdQfZqxJmu74tIIgwHVddF1vBeNaZrb9KLI8t59lWTiOg6ZprRt1LbYPzTUQwjAknU5jm= mYr8+/NzPIEq41GA9d1VyT7/KD6x9rbtg1AOp1uVTwS7ZsFoG3bNBoNgHX1mxsi27K01KRVVRVd= 13Ech2q1uiI30wfdtqIoGIbREuNmD8SYWBtd15emybrU6/UV+cjeD3FtK76upmkmBd8yYn3iuIy= iCNu2qdVqa6a9oihomkYqlVqR8j6hqVGsjW3ba+I3sbaX+s1qC74bok84Trcen8BaJeSMRYlTuq= vvoz/540j84ECW5VbtV9M0giC47v6s90JRlFbhGgfjza57TBzruq63rsFaaR8XgHHMJ62PlcSVg= 1QqhaIo+L7/ofmNssrBAuvaHQErkx7GD9DWKhfc8ppBHJzx+wlcUfe1MoLlNeLYgBPdL3Il3dcy= 5i/VPdG+yY3kNzdEn3DMlbIur9VhLQ/AJBAv51Lt11L3+Gei+5X5MLVPYv7qLDfeDyPml/+8xud= vDBNezodxOEkgro611j7RfXUkMb9+rKf2N6wJJyQkJNwMxCb8ke6xj9daXd1nxQdOyJdwdRKN15= 4wEoTRe2sqaN4DieprTyQEQbi6ZUGbS5C+v/2s2+gIxw8p1l0abkh3ziCf0QmCiLmqQ8MN6M2ny= BjNwxOAF0RoiowXRiBgtmLTmTVouAEd2eZKaaoi4/ohsiShqTKuH6GpEkKA7QbUnOZ2g0iQ1lWS= FltzsH/F9ik1PHRVpi+fQlVkHD9kctFisMNEliQcPyJjKAia87jCSBBEAgkwdZWG6+MFzYA19ea= DCU2RaLgBaV1FUz/S5f2aEEaCYt2lavvkTI2OrIEqS5ycqREKwUDBxNSVVrwLIZhYtOjMGbRndC= QgEuB4IWlDIYgEtte8jwbazVZcO36IEJDSFLwgRJabge75EVlTTXIvLuF4IXNVhyASdOcMsqZGF= Akmi41mvOsqVdtjtDtLEAkyRlNbSWrOYIyEQF/ypIrlk0upKLKEIkvomsJqVV6X7gjHCzlwrsgP= D05xftHigW3dfGbPILIk8c5EmdvGOvDDiIWaiyZLIEkcvlCmI21Qc3w2dKZ543SROzZ2ULZ8NFn= CCyMGCian5+pEQnDbWAfvTJQpmDpzNYfOrIHlhlheQJupsaU/R2/+5l5nOBKCmbLDU+9Mc2iijB= dE/Ff3jXLbWAelhsfBcyW29OU4PddAkSGf1vHDiN58ipmKQ7nh0XAD9o11cmS6Qk9bijASVG0fP= 4jobksxV3W4Y2MH7ZmbO9uDEILDFyo8/c4Mx2dq9OZT/IN7Rtjcl+OHB6cY7EgDgvaMQcXyWoVg= V1sKVZHY0JGh3PDoyOkcOl9msMNkoeqRSaks1l3SuoIQ0JHVeXuiTF/eZLgzzYmZGoosUbV9hrs= y3D7WgaokBaLthTzz7gwHz5U4MVPnU7v7eHzPAI4fMV2y6CuYWG7AhZJN1fbJplS6cykmixbjfT= nqTsC7F8qMdGWpOz55UyNtNK9FPq2xfTCPrl59dui6dkd4YUSx7qIoMlXbp7+QZmLRwg8jJFgKK= EHDCSg2fEp1j7aURn+7yYbONJNFi4yh0tOWomb7+KGgty3FbMWhv90kpamcX2ggSxJzVQddkenN= p6jaPrYXMNKVYbbi3PRrrkYC5io27RmdiUWLnrYU02UbL4g4OlXl2FSVg+fKhFHE1oE8p+fqVG2= fqu1TbngMtKdRZJmTczVGu7O0Z3Rqtk9nVsfUFXS1maRyoequ96muO0LAhaKNrsrMVVy6cwaTRQ= shQFUk+gopevMmx6ar2F5IqeHj+CGuH+L4EXWn2Vp553yZNlPj/IKFLMNwVwbLDanYPpv7chy5U= EVTZIY608xUHDRVZrAjza7hAmfnG9hesp4EQMMNkGWJ6bLTHDMP1JwALwiRJAnbCzkz38Bym9dg= vC9HxfLIpVROztSYrdiUGx7FusdYdwZJkpgu2/QXTMoNnyBcvbmsiwlnDZV7xrvZPVzgzk2dbOz= Jsmeknc6cQUfO4C+eP0PNDjgxU2NysUFfIcWFks2FksWBsyVkYNtAG6+fXqSnLYWmSPz/7d1Zcx= zXecbxf/fpbaZ7MCsGXACS4CJBMq3Fpm2Vo5QrrqTkOBeuXCefKh/Ad7lLKqlEiStyKqXQsiU5L= lkKRUsmJUgEQAIYbLP1bL2cXIA9HK6iY1ADkO+vagpTBDCYPsV55szbp8/7wZe7nKrlKeZsyr6D= aymur3coBw6VwMV3LY6XcpyqBrzz+wZnZv1nvhxhmQZLJ4s8d6zAtxYrXFwo8sNvHMM0DTxb8be= vL3KynGMmZ5N3FNVgfyb80Y0mZd9hJmdTK7gsnSjyi0+3+HyzS33G49begJ3uiFRrPrnZwvek1Z= FpGrz+/Cwvzhe5dLbMy6fLvHa+hmlAb5TwD++vMoxS4iTlZCXPynZIyd8vQ8yX87zz+wZRkuK7F= lfWWpyo5BmMUi5/0qDsO5yu+bz525u8dqHGXDFH4FrMV/J0+hE3tkP+Z3mXJNFY6hn/T39bJXD4= 9mJlP4POV/n+87McK3ocL+XY6gz41w9uYimDetHlWCnHz69sMDvj8vFai5Jvs9EaMFvwqAQOM3m= Hgmdzbq7Au59tUyu42H/Apw1ZHSGEEFPwVKyOEEKIo05CWAghpkhCWAghpkhCWAghpkhCWAghpk= hCWAghpkhCWAghpkhCWAghpkhCWAghpkhCWAghpkhCWAghpkhCWAghpkhCWAghpkhCWAghpkhCW= AghpkhCWAghpmhqjT4f5knsMW886y00HoOMuxDTcShCOAsArfVd9/9YhmFgGAZa6/F9cbd7x/yg= xj37OnlfCHG/qYdw9qJP05QkSYjjmCQ5uGaElmVhWRamaWKapoTBhCx0s7GPoujAZsSmaWJZFko= pTHO/6iVjL8T9pt5jTms9Dl+tNbZtP/TFmqaaURQTJykAtqVwbPXIF3eapkRRhFJqHMYSBtwXvo= 7jjMPyIB8/jmNs20YpJZ9GhJiQ9Zib6kx48oUaxzH5fP6+INAa+sOIzd0et7Z7/P7LbdYaXbSGY= 9U8L56tMV8POFbN4zn2fR2Usxd/v9+Xj8cTsrHPAtiyrAMfk2ymHUURhmHIG6AQDzDVmXA2ExsM= BiilyOfzd30/SVI+v9nkrV/fpBVZnJj18V2TWGvQBpYJ3WHKaiMkbwz5yfcXOLdQRt0T5Gma0u1= 2sSwLx3HGwfysmgzg4XBIEAQopZ7I34rjmDAM8TwP27YPdLYtxFF2KGbCcCeI7w2B4SjmP979kl= 981ueVC1X8FM6fCKgFFlGcjGdWjXZMYlpYhubvfnaTP1/a4a9eP4dt3Xm87ORckiRPZBXAUZUkC= WmaPvJnJk/WTZ7onBzHrwrWOI5J01TGXogHmHoIZ7OySaNRzD+9/RkfbRosnasxWwsouZpi3qIc= OAxGMaZhYCkTA03O9tnuaZYWNW9+0qbdvcrf/OVFlDLv+jsSAndk4/GgMclKRIPBgG63i1IK27Y= ZDAaYpkm/3x/PbIfDIXEcUywWyeVyD5ztytgL8XBTrwnfK9WaDz/b5r2VhMWFEi+eKTHj7NeGg7= yDYSo8b3+Wa2BQKpgMox661eLcnE+C4t8+bnCqvswPvnPurrKDhMGjaa3Z29sjDEMqlQqe5+H7P= lprut0uo9GIjY0NPvzwQ3784x/jui6u62JZFqPRiHa7TbPZ5NSpUxSLRRl7IR7DoSvQrW91+OnP= PuPEsSIvLMzgmJog71KeyYGpGKUQpQZRajBKIU4Mdm+1iXsjKgWL+dkcF8/X+Ol/b7PbDKd9OEd= KHMe8+eab1Ot1fN+/q36elXM6nQ6tVmu8nO3eE3xJkvDWW28xGo2mfThCHAmHKoTjJOXTlRalky= epFGxylsazFco00fr2zHnUhzhCa0jilLWVXVrNPi+9ukCQdyh5Bp5t0rOL/Of7y19Z8xR39Hq98= freB9Fao5RiMBiwtrZ2V409C2SlFO12myiKvs6nLsSRdahCeDCM+d1Ki3zO5sV5n9qMSyFnYxrs= 33RK/tpvyH/6DgYpzd0uK8vbXHx1Adu1UJaFn3e5cNKnmyreXw4J+8NpH9aR0e12CYLgvpUjk6U= Ey7I4ceIEv/zlL9nY2LjrhJvWGs/zSJKE4VDGXYjHcahCuNMbcmO7T5KmuApmchaebWKZ7N8sE1= 07jrn8KXuNPd6//Dnf/u5p8r6LYRjkHUXZt5grWJR9RSt2aHX60z6sI2NlZYVyufzAEJ78Ojs7y= 6VLl7h8+TKNRsJkwaoAAAoDSURBVOOu77uui23bdDodqQEL8RgOVQj3BjF7YUSapihDowyNozSW= kTLsDWjcanJ9z+Yfzdf4+3dafO9PTlMt58hZkLfAtzU5lZK3NfWCjVY2g2E87cM6ErTWLC8vUyq= VHvkzsD8bPnPmDEtLS7z77ruE4Z3au23buK5Ls9l84s9ZiKfBoQph0wBlaOI4IWcb+I6Jo4A45s= Nf3+B3v10j7Cbka7Nccm9xas7DsyE3cQtck4JrYisDW2lAZmOPI0kSGo3GQ1c1TM5qDcPAdV0uX= LiAZVlcuXLlrp8pFArs7e3JTFiIxzD1dcKT8p7NsZJDbBoYcHsmbKJyij99/TQYBo6tSDRYexq7= cxMKFyYewWCEBg2DROMR4TmH6hAPrdFoRBRFBEHwwO/fG8Jaa3K5HOfOneO9997j5ZdfxvM8tNY= EQUCr1ZKTokI8hkM1Ew7yDkvzMyjbZLczJBxExHGCYyuKRY/ijEsuZxHkLbx6HbWxior6KBOUCX= GcEA4iNtsxhgkls8dM4E77sI6EXq+HUgrP84D9CzYGgwHtdptWq8VwOMQ0TRzHwXX3xzS75Hl3d= 5fRaDS+os73fZrNpsyEhXgMh2qamHMtnp+f4dOPW/zqWozvWXi2wnMesK+B5cC5b8LN67D4TTAM= +qOYnU7Erz7vYyV9vrXo4edzX/+BHEFhGGKaJp1Ohy+//JLV1VW63S5pmo4vEc9muVEU8cEHH6C= UYm1tjW63y9WrVymXy8zNzaGUotFokCTJQ5e7CSH2HapXiGmanKoHVNNV2szy5UaXuaKL56j9S5= QnT9obBvgFaKyQDroMVY7+MOXGrqadgt28xff+4psopWRG9hj29vbo9/u8/fbb41nw5J4Rtm0TR= RE3btzANE1qtRqu6xKGIeVyebxJUhiGDAYDWq0WYRhSLBanfGRCHG6HKoQBauWAH333DP/86zU+= 3atgXN/lO+craMOgWnCwTIMsUw3LIS4fZ+/adYYnlri+lXCtFdNZW+GvL1WYrZanezBHyK1bt9j= a2qLVao33dx6NRiRJgmma5HI5dnZ2CMMQpRRBEFAoFOj1eqRpyuXLl8eXMBuGQbvdZmdnR0JYiK= 9w6ELYMAzOnqzwZy/0+K+rW6wHJ/iX32zw2nNVtAbPVsQpmObtTd51QMuu8dH1Hh3DYGflBj88q= /nuK0tPbHvGp9HZs2d54403iOOYKIrGQZzdTNOkUCiwu7uLUopcLjeeLWcb5me3bBP3clneBIX4= KocuhAFs2+KV50/i2opfXFnBnqlwdb2NvWlSC1wc00Qpk0gbbPdSwsSnPQrZXV3jjed8vvfqN8Y= nj8TjWVpaYmlpabwXxORm+0mSjC9RnixRZC2jshBWSt3XziiOZZ22EI9yKEMYwHFsLl44wWzZ5/= qNTT6/tUaMouXmcV0PbRr0RxGDfg9GfRZKFm/8YJH54zVs25720z+yDMMYh2l2Uu1RNfXJNcWP2= ij/Wd5EX4hHmWoIT74wsx5zk/+mlOJ4vUylGPDC2R577ZBmq0t/2EdrjeWblE4VqZYWKBV9PPfB= fdKymd2TaOFz1D1qi8mDaAU12bRVxl6I+019JpytLR0MBriui+M443/Pvnqeg+va1Cozt7tB3Pl= IrNTDuyhnAdPv94miSGbIE7JxT9OUMAwJguBAe8BlZY1utzv+e0KI+009hLOtE4fDIdvb23ied2= B9yLTW47P8nuc9873l7pWVHbrdLv1+H8dxDjSEB4MBAL7vS5NPIR5i6uUI0zSxbRvP8+j3+7Tb7= ftOAh3EY08un5IwuFP7dV2XNE3p9/v0er1x+eD/O/bZ2CqlcByHfD4vzVWFeISpdlsGxh0bsqVR= 2dn4P/ZpZWGb9UfLlk9l4fysy97kshUQ2bK0g2jImY1xtlwtWzkhb4BC3JF1Wz4UITzZJucgu/J= mL/rso7B8JL5jcg/gyXE/iLGfrOdPhq+MvRB3HJoQztwbAAcZBtl9CYH73bthu4y7EF+PQxfCQg= jxLMlCWIqjQggxRVNfovaHGG/c85ifbvXtX5KPwwcv+wCVpulDa+3Zpu6Ta5KzDeHvLVNMXg4tx= LPkUITwKElphRFaawo5G89WGAZ80eiSpJrFekCUpAyihFu7fc7M+pimwdXVJi/OFzFNA9PY310t= STWOtb/3bW+U8MnNFhcXSpiGgWc/nSfmsjW5vV6PTqfDwsICSimuXbvG6uoqL7300ngznSwATdM= kjuO7TqKlaTre9ChbqpbtDxHHMZZljVdUrK+vMzc3x40bNzh//vz4sbO9I+I4ZmtrC6UUaZpSrV= ZpNBrMzMzQ6XQoFovkcjmiKKLdbuM4Dt1ul7m5ufHzyPYjltUs4mk29ZrwYJTw7x/e5DfLuyw3u= vzo5RP85NI8gWfx8yvrxInmldNlNlt9qoHL542Q3jDi5dNl3v7dJt9/bpbr6x2SVJNqzamazyhO= GMYptYLL2k6PF04WWW50OVHO8dzxmWke7oHTWrO5uclHH33E+vo6r776KkEQsLi4yNWrVymVSuz= s7DAcDjl27BitVosoiqjX64RhSBiGdDodLl68SL/fZ2NjY9ziqNPp4Hkep06dYmtrizRNGQ6H1O= t19vb27lp6trm5Sa1Wo1QqUSgUWF5eptPpUK/XiaKIKIrodDosLi7S6/VYWVmhVqsRBAHtdhvf9= 0mShE6nw8mTJ8nlcmxublIqlahWq0/lm6d4th2amnA4jFHm/obtvmtR9m36o5i97pCV7ZDd7ogk= 1WgNa7t9XMtkoerz8WqTnGORpJpEay4cL2BbJmfqPs1eRDMccayUox8l/O/KHqM4YTccTvtwn4h= ut4vneeTzedI0Hbebz8oB8/PzlMtlTNOkVCpRLpfHgVsoFCgUCkRRxGAwoNvtopSiUqlQr9cxTZ= O1tTVM02RrawvbtimXy0RRRK/Xo1arsbu7i+d5lEolhsPh+BLxWq2G1prhcIjrutRqNZrNJlEUs= b29TRiG1Ot1giDA8zyGw+H499bW1kiSZHzVnRBPq6nPhLXWbDQHLDc6RInmbD3geDnH+l6fYt4m= TTWruz2SFHxXoUyDZhjh2SZKGftNPaPkdgskg4VqnvVmHzS0+xG2MknSlO4w5sxswHwlP83DfSK= GwyFffPHFeJ/farVKLpej0WiMu170ej0cx6HRaKC1JgxD8vk83W6X2dlZcrkc29vbKKWYmZnBcR= ySJGE0GjEajRgMBjiOM67/Oo6D1ppOp0O1Wh33m0uShHw+z8bGBv1+n0qlMg7TKIrI5/P0ej2iK= KJSqdDr9cZ7E/u+z2AwGJcjBoMB1WqVUqkkM2Hx1JElak+Z7KTX44bV3t7eeE+NQqEgdVchvmYS= wkIIMUWHpiYshBDPMglhIYSYIglhIYSYIglhIYSYIglhIYSYIoPbWywIIYT42hn/B7QaWrWCPZK= eAAAAAElFTkSuQmCC" width=3D"353" height=3D"175" alt=3D"" style=3D"margin-to= p:21.8pt; margin-left:-32.05pt; position:absolute" /></span><span style=3D"= font-family:'Times New Roman'; font-style:italic">Creaci=C3=B3n de contenid= o</span><span style=3D"font-family:'Times New Roman'; font-style:italic">&#= xa0;            = ;            &#= xa0;            = ;            &#= xa0;  </span><span style=3D"font-family:'Times New Roman'; font-style:= italic">Interacci=C3=B3n</span><span style=3D"font-family:'Times New Roman'= ; font-weight:bold; font-style:italic">      =             &#x= a0;            =      </span></p><p style=3D"text-align:justify; line-he= ight:108%; font-size:12pt"><span style=3D"font-family:'Times New Roman'">&#= xa0;</span></p><p style=3D"text-align:justify; line-height:108%; font-size:= 12pt"><span style=3D"font-family:'Times New Roman'"> </span></p><p sty= le=3D"text-align:justify; line-height:108%; font-size:12pt"><span style=3D"= font-family:'Times New Roman'"> </span></p><p style=3D"text-align:just= ify; line-height:108%; font-size:12pt"><span style=3D"font-family:'Times Ne= w Roman'; font-weight:bold"> </span></p><p style=3D"text-align:justify= ; line-height:108%; font-size:12pt"><span style=3D"font-family:'Times New R= oman'; font-weight:bold"> </span></p><p style=3D"text-align:justify; l= ine-height:108%; font-size:12pt"><span style=3D"font-family:'Times New Roma= n'"> </span></p><p style=3D"text-align:justify; line-height:108%; font= -size:12pt"><span style=3D"font-family:'Times New Roman'">Las tecnolog=C3= =ADas de la informaci=C3=B3n y comunicaci=C3=B3n TIC, actualmente</span><sp= an style=3D"font-family:'Times New Roman'">  </span><span style=3D"fon= t-family:'Times New Roman'">juegan un papel fundamental en la educaci=C3=B3= n ya que facilitan la</span><span style=3D"font-family:'Times New Roman'">&= #xa0; </span><span style=3D"font-family:'Times New Roman'">mejora de la ges= ti=C3=B3n del conocimiento, fomentan la colaboraci=C3=B3n en entornos educa= tivos, optimizando los procesos de comunicaci=C3=B3n y colaboraci=C3=B3n , = estas herramientas permiten acceder a una amplia gama de recursos digitales= promoviendo un aprendizaje m=C3=A1s din=C3=A1mico, favoreciendo la integra= ci=C3=B3n de metodolog=C3=ADas innovadoras que fortalecen la experiencia ed= ucativa preparando a estudiantes y docentes para enfrentar los desaf=C3=ADo= s de una sociedad digitalizada.</span><span style=3D"font-family:'Times New= Roman'; background-color:#ffff00">(J=C3=A1come Encalada & S=C3=A1nchez= Vera, 2023). Sin</span><span style=3D"font-family:'Times New Roman'"> emba= rgo aunque las TIC, han transformado los m=C3=A9todos de ense=C3=B1anza, mu= chos estudiantes no las utilizan acertadamente, adem=C3=A1s algunas persona= s enfrentan barreras familiares y socioecon=C3=B3micas limitando su acceso = a estas tecnolog=C3=ADas; en algunos casos los docentes con muchos a=C3=B1o= s de servicio, el acceso es limitado debido a la falta de capacitaci=C3=B3n= o al analfabetismo tecnol=C3=B3gico. </span><span style=3D"font-family:'Ti= mes New Roman'"> </span><span style=3D"font-family:'Times New Roman'; = background-color:#00ffff">(Lara-Freire et al., 2021)</span><span style=3D"f= ont-family:'Times New Roman'">   </span><span style=3D"font-famil= y:'Times New Roman'">El desarrollo de esta gu=C3=ADa se basa en un marco te= =C3=B3rico que resalta la efectividad del aprendizaje basado en problemas A= BP y el uso de plataformas virtuales como Chamilo para fortalecer las compe= tencias pedag=C3=B3gicas en los docentes. Estudios previos han demostrado q= ue la metodolog=C3=ADa ABP no solo mejora el aprendizaje cr=C3=ADtico y las= habilidades de investigaci=C3=B3n, sino que tambi=C3=A9n fomenta el trabaj= o en equipo (</span><span style=3D"font-family:'Times New Roman'; backgroun= d-color:#ffff00">L=C3=B3pez, 2021</span><span style=3D"font-family:'Times N= ew Roman'">), la autonom=C3=ADa en el aprendizaje y la resoluci=C3=B3n de p= roblemas reales (</span><span style=3D"font-family:'Times New Roman'; backg= round-color:#ffff00">Mera & Timana, 2024</span><span style=3D"font-fami= ly:'Times New Roman'">). Estos beneficios se alinean con las habilidades qu= e se espera desarrollar en los docentes a trav=C3=A9s de esta gu=C3=ADa. </= span></p><p class=3D"ListParagraph" style=3D"text-indent:-18pt; text-align:= justify; line-height:108%; font-size:12pt"><span style=3D"font-family:'Time= s New Roman'; font-style:italic"><span>3.3.</span></span><span style=3D"fon= t-family:'Times New Roman'"> </span><span style=3D"font-family:'Times New R= oman'; font-style:italic">Estructura de la gu=C3=ADa did=C3=A1ctica para el= aprendizaje del ABP</span></p><p style=3D"text-align:justify; line-height:= 108%; font-size:12pt"><span style=3D"font-family:'Times New Roman'">La gu= =C3=ADa did=C3=A1ctica est=C3=A1 dise=C3=B1ada para facilitar la implementa= ci=C3=B3n de la metodolog=C3=ADa del aprendizaje basado en problemas ABP ut= ilizando la plataforma virtual Chamilo. Est=C3=A1 dirigida a profesores y e= ducadores que desean integrar esta metodolog=C3=ADa en sus pr=C3=A1cticas e= ducativas. La gu=C3=ADa se estructura en 3 m=C3=B3dulos qu=C3=A9 se desarro= llar=C3=A1n a lo largo de 3 semanas de forma asincr=C3=B3nica con una durac= i=C3=B3n total de 30 horas. </span></p><p style=3D"text-align:justify; line= -height:108%; font-size:12pt"><span style=3D"font-family:'Times New Roman'"= >Cada m=C3=B3dulo incluye actividades te=C3=B3ricas, talleres pr=C3=A1ctico= s y espacios de reflexi=C3=B3n. Los participantes tendr=C3=A1n acceso a rec= ursos multimedia, lecturas complementarias y foros de discusi=C3=B3n para e= nriquecer su aprendizaje. La evaluaci=C3=B3n ser=C3=A1 continua, con retroa= limentaci=C3=B3n despu=C3=A9s de cada actividad y un proyecto final que int= egre todos los conocimientos adquiridos. </span></p><p style=3D"text-align:= justify; line-height:108%; font-size:12pt"><span style=3D"font-family:'Time= s New Roman'">Esta estructura permite a los docentes no s=C3=B3lo comprende= r los fundamentos te=C3=B3ricos de ABP, sino tambi=C3=A9n practicar su impl= ementaci=C3=B3n en un entorno virtual, prepar=C3=A1ndolos para aplicar esta= metodolog=C3=ADa en sus propias clases (tabla 1). </span></p><p style=3D"t= ext-align:center; line-height:108%; font-size:12pt"><span style=3D"font-fam= ily:'Times New Roman'; font-weight:bold">Tabla 1</span></p><p style=3D"text= -align:center; line-height:108%; font-size:12pt"><span style=3D"font-family= :'Times New Roman'; font-style:italic">Estructura de la gu=C3=ADa del ABP y= Chamilo para docentes.</span></p><table style=3D"width:453.35pt; margin-bo= ttom:0pt; padding:0pt; border-collapse:collapse"><tr style=3D"height:15pt">= <td style=3D"width:329.15pt; border-top:0.75pt solid #000000; border-bottom= :0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top"><p style=3D"m= argin-bottom:0pt; text-align:center; line-height:normal; font-size:10pt"><s= pan style=3D"font-family:'Times New Roman'">M=C3=B3dulo</span></p></td><td = style=3D"width:102.6pt; border-top:0.75pt solid #000000; border-bottom:0.75= pt solid #000000; padding:0pt 5.4pt; vertical-align:top"><p style=3D"margin= -bottom:0pt; text-align:center; line-height:normal; font-size:10pt"><span s= tyle=3D"font-family:'Times New Roman'">Duraci=C3=B3n de taller</span></p></= td></tr><tr style=3D"height:9.45pt"><td style=3D"width:329.15pt; border-top= :0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4p= t; vertical-align:top"><p style=3D"margin-bottom:0pt; line-height:normal; f= ont-size:10pt"><span style=3D"font-family:'Times New Roman'">M=C3=B3dulo 1:= Fundamentos del ABP y Chamilo (10 horas)</span></p></td><td style=3D"width= :102.6pt; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #0000= 00; padding:0pt 5.4pt; vertical-align:top"><p style=3D"margin-bottom:0pt; l= ine-height:normal; font-size:10pt"><span style=3D"font-family:'Times New Ro= man'"> </span></p></td></tr><tr style=3D"height:9.45pt"><td colspan=3D= "2" style=3D"width:442.55pt; border-top:0.75pt solid #000000; border-bottom= :0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top"><p style=3D"m= argin-bottom:0pt; line-height:normal; font-size:10pt"><span style=3D"font-f= amily:'Times New Roman'">Objetivo: Proporcionar a los docentes informaci=C3= =B3n detallada de la metodolog=C3=ADa del aprendizaje basado en problemas (= ABP), con el empleo de la plataforma virtual</span></p></td></tr><tr style= =3D"height:15pt"><td style=3D"width:329.15pt; border-top:0.75pt solid #0000= 00; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:t= op"><p style=3D"margin-bottom:0pt; line-height:normal; font-size:10pt"><spa= n style=3D"font-family:'Times New Roman'">Actividad 1: Introducci=C3=B3n al= ABP</span></p></td><td style=3D"width:102.6pt; border-top:0.75pt solid #00= 0000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align= :top"><p style=3D"margin-bottom:0pt; text-align:center; line-height:normal;= font-size:10pt"><span style=3D"font-family:'Times New Roman'">2 horas</spa= n></p></td></tr><tr style=3D"height:15pt"><td style=3D"width:329.15pt; bord= er-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0p= t 5.4pt; vertical-align:top"><p style=3D"margin-bottom:0pt; line-height:nor= mal; font-size:10pt"><span style=3D"font-family:'Times New Roman'">Activida= d 2: Exploraci=C3=B3n de Chamilo</span></p></td><td style=3D"width:102.6pt;= border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; paddi= ng:0pt 5.4pt; vertical-align:top"><p style=3D"margin-bottom:0pt; text-align= :center; line-height:normal; font-size:10pt"><span style=3D"font-family:'Ti= mes New Roman'">2 horas</span></p></td></tr><tr style=3D"height:15pt"><td s= tyle=3D"width:329.15pt; border-top:0.75pt solid #000000; border-bottom:0.75= pt solid #000000; padding:0pt 5.4pt; vertical-align:top"><p style=3D"margin= -bottom:0pt; line-height:normal; font-size:10pt"><span style=3D"font-family= :'Times New Roman'">Taller 1: Dise=C3=B1o de problemas para ABP</span></p><= /td><td style=3D"width:102.6pt; border-top:0.75pt solid #000000; border-bot= tom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top"><p style= =3D"margin-bottom:0pt; text-align:center; line-height:normal; font-size:10p= t"><span style=3D"font-family:'Times New Roman'">3 horas</span></p></td></t= r><tr style=3D"height:15pt"><td style=3D"width:329.15pt; border-top:0.75pt = solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; verti= cal-align:top"><p style=3D"margin-bottom:0pt; line-height:normal; font-size= :10pt"><span style=3D"font-family:'Times New Roman'">Actividad 3: Evaluaci= =C3=B3n en ABP</span></p></td><td style=3D"width:102.6pt; border-top:0.75pt= solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vert= ical-align:top"><p style=3D"margin-bottom:0pt; text-align:center; line-heig= ht:normal; font-size:10pt"><span style=3D"font-family:'Times New Roman'">2 = horas</span></p></td></tr><tr style=3D"height:15pt"><td style=3D"width:329.= 15pt; border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; = padding:0pt 5.4pt; vertical-align:top"><p style=3D"margin-bottom:0pt; line-= height:normal; font-size:10pt"><span style=3D"font-family:'Times New Roman'= ">Foro de discusi=C3=B3n: Reflexiones sobre ABP</span></p></td><td style=3D= "width:102.6pt; border-top:0.75pt solid #000000; border-bottom:0.75pt solid= #000000; padding:0pt 5.4pt; vertical-align:top"><p style=3D"margin-bottom:= 0pt; text-align:center; line-height:normal; font-size:10pt"><span style=3D"= font-family:'Times New Roman'">1 hora</span></p></td></tr><tr style=3D"heig= ht:3.7pt"><td style=3D"width:329.15pt; border-top:0.75pt solid #000000; bor= der-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top"><p = style=3D"margin-bottom:0pt; line-height:normal; font-size:10pt"><span style= =3D"font-family:'Times New Roman'">M=C3=B3dulo 2: Dise=C3=B1o de Proyectos = ABP en Chamilo (10 horas)</span></p></td><td style=3D"width:102.6pt; border= -top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt = 5.4pt; vertical-align:top"><p style=3D"margin-bottom:0pt; text-align:center= ; line-height:normal; font-size:10pt"><span style=3D"font-family:'Times New= Roman'"> </span></p></td></tr><tr style=3D"height:3.7pt"><td colspan= =3D"2" style=3D"width:442.55pt; border-top:0.75pt solid #000000; border-bot= tom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top"><p style= =3D"margin-bottom:0pt; line-height:normal; font-size:10pt"><span style=3D"f= ont-family:'Times New Roman'">Objetivo: Fomentar el uso del ABP en el aula = para promover un aprendizaje activo y significativo en los estudiantes en d= iferentes =C3=A1reas del conocimiento.</span></p></td></tr><tr style=3D"hei= ght:15pt"><td style=3D"width:329.15pt; border-top:0.75pt solid #000000; bor= der-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top"><p = style=3D"margin-bottom:0pt; line-height:normal; font-size:10pt"><span style= =3D"font-family:'Times New Roman'">Actividad 4: Planificaci=C3=B3n de proye= ctos ABP</span></p></td><td style=3D"width:102.6pt; border-top:0.75pt solid= #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-a= lign:top"><p style=3D"margin-bottom:0pt; text-align:center; line-height:nor= mal; font-size:10pt"><span style=3D"font-family:'Times New Roman'">2 horas<= /span></p></td></tr><tr style=3D"height:15pt"><td style=3D"width:329.15pt; = border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; paddin= g:0pt 5.4pt; vertical-align:top"><p style=3D"margin-bottom:0pt; line-height= :normal; font-size:10pt"><span style=3D"font-family:'Times New Roman'">Tall= er 2: Creaci=C3=B3n de recursos digitales para ABP</span></p></td><td style= =3D"width:102.6pt; border-top:0.75pt solid #000000; border-bottom:0.75pt so= lid #000000; padding:0pt 5.4pt; vertical-align:top"><p style=3D"margin-bott= om:0pt; text-align:center; line-height:normal; font-size:10pt"><span style= =3D"font-family:'Times New Roman'">3 horas</span></p></td></tr><tr style=3D= "height:12.15pt"><td style=3D"width:329.15pt; border-top:0.75pt solid #0000= 00; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:t= op"><p style=3D"margin-bottom:0pt; line-height:normal; font-size:10pt"><spa= n style=3D"font-family:'Times New Roman'">Actividad 5: Configuraci=C3=B3n d= e espacios de trabajo en Chamilo</span></p></td><td style=3D"width:102.6pt;= border-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; paddi= ng:0pt 5.4pt; vertical-align:top"><p style=3D"margin-bottom:0pt; text-align= :center; line-height:normal; font-size:10pt"><span style=3D"font-family:'Ti= mes New Roman'">2 horas</span></p></td></tr><tr style=3D"height:15pt"><td s= tyle=3D"width:329.15pt; border-top:0.75pt solid #000000; border-bottom:0.75= pt solid #000000; padding:0pt 5.4pt; vertical-align:top"><p style=3D"margin= -bottom:0pt; line-height:normal; font-size:10pt"><span style=3D"font-family= :'Times New Roman'">Taller 3: Dise=C3=B1o de una unidad ABP completa</span>= </p></td><td style=3D"width:102.6pt; border-top:0.75pt solid #000000; borde= r-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top"><p st= yle=3D"margin-bottom:0pt; text-align:center; line-height:normal; font-size:= 10pt"><span style=3D"font-family:'Times New Roman'">3 horas</span></p></td>= </tr><tr style=3D"height:7.85pt"><td style=3D"width:329.15pt; border-top:0.= 75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; = vertical-align:top"><p style=3D"margin-bottom:0pt; line-height:normal; font= -size:10pt"><span style=3D"font-family:'Times New Roman'">M=C3=B3dulo 3: Im= plementaci=C3=B3n y Evaluaci=C3=B3n de Proyectos ABP (10 horas)</span></p><= /td><td style=3D"width:102.6pt; border-top:0.75pt solid #000000; border-bot= tom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top"><p style= =3D"margin-bottom:0pt; text-align:center; line-height:normal; font-size:10p= t"><span style=3D"font-family:'Times New Roman'"> </span></p></td></tr= ><tr style=3D"height:7.85pt"><td style=3D"width:329.15pt; border-top:0.75pt= solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vert= ical-align:top"><p style=3D"margin-bottom:0pt; line-height:normal; font-siz= e:10pt"><span style=3D"font-family:'Times New Roman'">Objetivo: Desarrollar= habilidades de dise=C3=B1o, implementaci=C3=B3n y evaluaci=C3=B3n de proye= ctos ABP en temas diversos.</span></p></td><td style=3D"width:102.6pt; bord= er-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0p= t 5.4pt; vertical-align:top"><p style=3D"margin-bottom:0pt; text-align:cent= er; line-height:normal; font-size:10pt"><span style=3D"font-family:'Times N= ew Roman'"> </span></p></td></tr><tr style=3D"height:15pt"><td style= =3D"width:329.15pt; border-top:0.75pt solid #000000; border-bottom:0.75pt s= olid #000000; padding:0pt 5.4pt; vertical-align:top"><p style=3D"margin-bot= tom:0pt; line-height:normal; font-size:10pt"><span style=3D"font-family:'Ti= mes New Roman'">Actividad 6: Estrategias de facilitaci=C3=B3n en ABP</span>= </p></td><td style=3D"width:102.6pt; border-top:0.75pt solid #000000; borde= r-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top"><p st= yle=3D"margin-bottom:0pt; text-align:center; line-height:normal; font-size:= 10pt"><span style=3D"font-family:'Times New Roman'">2 horas</span></p></td>= </tr><tr style=3D"height:15pt"><td style=3D"width:329.15pt; border-top:0.75= pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; ve= rtical-align:top"><p style=3D"margin-bottom:0pt; line-height:normal; font-s= ize:10pt"><span style=3D"font-family:'Times New Roman'">Taller 4: Simulaci= =C3=B3n de una clase ABP</span></p></td><td style=3D"width:102.6pt; border-= top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5= .4pt; vertical-align:top"><p style=3D"margin-bottom:0pt; text-align:center;= line-height:normal; font-size:10pt"><span style=3D"font-family:'Times New = Roman'">3 horas</span></p></td></tr><tr style=3D"height:13.4pt"><td style= =3D"width:329.15pt; border-top:0.75pt solid #000000; border-bottom:0.75pt s= olid #000000; padding:0pt 5.4pt; vertical-align:top"><p style=3D"margin-bot= tom:0pt; line-height:normal; font-size:10pt"><span style=3D"font-family:'Ti= mes New Roman'">Actividad 7: Evaluaci=C3=B3n y retroalimentaci=C3=B3n en AB= P</span></p></td><td style=3D"width:102.6pt; border-top:0.75pt solid #00000= 0; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:to= p"><p style=3D"margin-bottom:0pt; text-align:center; line-height:normal; fo= nt-size:10pt"><span style=3D"font-family:'Times New Roman'">2 horas</span><= /p></td></tr><tr style=3D"height:13.65pt"><td style=3D"width:329.15pt; bord= er-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0p= t 5.4pt; vertical-align:top"><p style=3D"margin-bottom:0pt; line-height:nor= mal; font-size:10pt"><span style=3D"font-family:'Times New Roman'">Proyecto= final: Implementaci=C3=B3n de una unidad ABP en Chamilo</span></p></td><td= style=3D"width:102.6pt; border-top:0.75pt solid #000000; border-bottom:0.7= 5pt solid #000000; padding:0pt 5.4pt; vertical-align:top"><p style=3D"margi= n-bottom:0pt; text-align:center; line-height:normal; font-size:10pt"><span = style=3D"font-family:'Times New Roman'">3 horas</span></p></td></tr></table= ><p style=3D"text-align:justify; line-height:108%; font-size:12pt"><span st= yle=3D"font-family:'Times New Roman'"> </span></p><p style=3D"text-ali= gn:justify; line-height:108%; font-size:12pt"><span style=3D"font-family:'T= imes New Roman'">Tras un an=C3=A1lisis te=C3=B3rico de la documentaci=C3=B3= n de </span><span style=3D"font-family:'Times New Roman'; background-color:= #ffff00">Mera & Timana (2024</span><span style=3D"font-family:'Times Ne= w Roman'">) y </span><span style=3D"font-family:'Times New Roman'; backgrou= nd-color:#ffff00">L=C3=B3pez (2021</span><span style=3D"font-family:'Times = New Roman'">), permite reflexionar acerca de las ventajas de la metodolog= =C3=ADa en estudio la misma que con el aporte de los expertos, que recomien= da ciertas acciones como: que el </span><span style=3D"font-family:'Times N= ew Roman'; text-decoration:underline">Aprendizaje Basado en Problemas (ABP)= </span><span style=3D"font-family:'Times New Roman'"> orienta la resoluci= =C3=B3n de problemas reales desde diversas perspectivas y asignaturas, fome= ntando el trabajo colaborativo, la autonom=C3=ADa investigativa, as=C3=AD m= ismo esta implementaci=C3=B3n metodol=C3=B3gica presenta algunos desaf=C3= =ADos como estimular la colaboraci=C3=B3n en equipo, el cambio del rol doce= nte como facilitador lo que implica mayor preparaci=C3=B3n cient=C3=ADfica,= did=C3=A1ctica y tecnol=C3=B3gica para gestionar adecuadamente la resoluci= =C3=B3n de problemas as=C3=AD como tambi=C3=A9n experiencia para guiar la b= =C3=BAsqueda de conocimiento cient=C3=ADfico. La entrevista a los expertos = permiti=C3=B3 afianzar las conclusiones alcanzadas durante esta investigaci= =C3=B3n, combinando la investigaci=C3=B3n cualitativa y cuantitativa seg=C3= =BAn </span><span style=3D"font-family:'Times New Roman'"> </span><spa= n>(</span><span style=3D"font-family:'Times New Roman'; background-color:#f= fff00">Hern=C3=A1ndez-Sampieri & Mendoza, 2018)</span><span style=3D"fo= nt-family:'Times New Roman'">en el cual se lleg=C3=B3 a validar las ventaja= s de las plataformas digitales y las herramientas tecnol=C3=B3gicas como re= curso para potenciar las metodolog=C3=ADas activas c=C3=B3mo el ABP. Dentro= de estas ventajas se determin=C3=B3 que: favorece captar la atenci=C3=B3n = del educando, flexibilidad en cuanto a horarios de acceso a materiales, inc= entiva la colaboraci=C3=B3n por medio de los grupos de trabajo coma mejora = los recursos digitales y f=C3=ADsicos, se elaboran actividades con mayor im= pacto visual para los estudiantes, se mantienen de forma indefinida los dic= hos recursos educativos en plataformas online, se eval=C3=BAa a los estudia= ntes de forma contextualizada. </span></p><p style=3D"text-align:justify; l= ine-height:108%; font-size:12pt"><span style=3D"font-family:'Times New Roma= n'">Adem=C3=A1s, el uso de plataformas virtuales para captar la atenci=C3= =B3n y motivar a los estudiantes ofrece beneficios significativos, como el = acceso continuo a m=C3=BAltiples recursos almacenados. Las actividades crea= tivas que se pueden implementar a trav=C3=A9s de esta plataforma fomentan l= a iniciativa y la creatividad, eliminando la monoton=C3=ADa. Sin embargo, e= sto requiere que los docentes desarrollen competencias socioemocionales, te= cno pedag=C3=B3gicas y comunicacionales, junto con un s=C3=B3lido dominio d= e metodolog=C3=ADa activas, el manejo eficiente de la plataforma digitales,= una educada organizaci=C3=B3n escolar y conocimientos b=C3=A1sicos de ofim= =C3=A1tica. Como estrategias Para el dise=C3=B1o did=C3=A1ctico, se sugiere= la capacitaci=C3=B3n docente permanente, lo que permitir=C3=A1 una estruct= uraci=C3=B3n adecuada de la planificaci=C3=B3n did=C3=A1ctica enfocada en l= a creaci=C3=B3n de c=C3=A1psulas educativas con un enfoque multidisciplinar= io. Estas acciones est=C3=A1n alineadas con los objetivos establecidos en e= sta propuesta. En cuanto a los aprendizajes planificados, se espera que est= =C3=A9n dirigidos al progreso constante de los estudiantes. </span></p><p s= tyle=3D"text-align:justify; line-height:108%; font-size:12pt"><span style= =3D"font-family:'Times New Roman'">Por consiguiente, el dise=C3=B1o, implem= entaci=C3=B3n y evaluaci=C3=B3n de proyectos educativos que emplean herrami= entas digitales dentro de las plataformas virtuales motivan a los docentes = no s=C3=B3lo aplicar los principios de ABP en sus aulas, sino tambi=C3=A9n = promover un aprendizaje m=C3=A1s profundo y significativo entre sus estudia= ntes.</span></p><p style=3D"text-align:justify; line-height:108%; font-size= :12pt"><span style=3D"font-family:'Times New Roman'">Ya que al proporcionar= a los docentes informaci=C3=B3n detallada sobre la metodolog=C3=ADa del (A= BP) tendr=C3=A1n las competencias necesarias para guiar a sus estudiantes e= n la resoluci=C3=B3n de problemas del mundo real (</span><span style=3D"fon= t-family:'Times New Roman'; background-color:#ffff00">Pinheiro</span><span = style=3D"font-family:'Times New Roman'"> et al., 2023), lo que permitir=C3= =A1 enfrentar con =C3=A9xito los desaf=C3=ADos en sus vidas sociales y prof= esionales. As=C3=AD la aplicaci=C3=B3n del ABP, respaldada por el uso efect= ivo de las plataformas virtuales, se consolidar=C3=A1 como una estrategia c= lave para mejorar la calidad educativa y preparar a los estudiantes para un= mundo en constante cambio </span></p><p class=3D"ListParagraph" style=3D"t= ext-indent:-18pt; text-align:justify; line-height:108%; font-size:12pt"><sp= an style=3D"font-family:'Times New Roman'; font-weight:bold; color:#767171"= ><span>4.</span></span><span style=3D"width:9pt; font:7pt 'Times New Roman'= ; display:inline-block">      </span><span style= =3D"font-family:'Times New Roman'; font-weight:bold; color:#767171">Discusi= =C3=B3n </span></p><p style=3D"text-align:justify; line-height:108%; font-s= ize:12pt"><span style=3D"font-family:'Times New Roman'">La revisi=C3=B3n bi= bliogr=C3=A1fica realizada en fuentes acad=C3=A9micas confiables revel=C3= =B3 los beneficios significativos del </span><span style=3D"font-family:'Ti= mes New Roman'; text-decoration:underline">Aprendizaje Basado en Problemas = (ABP</span><span style=3D"font-family:'Times New Roman'">) en el proceso de= ense=C3=B1anza- aprendizaje. Autores como </span><span style=3D"font-famil= y:'Times New Roman'; background-color:#ffff00">Pinheiro</span><span style= =3D"font-family:'Times New Roman'"> et al. (2023), </span><span style=3D"fo= nt-family:'Times New Roman'; background-color:#ffff00">Morales & Landa<= /span><span style=3D"font-family:'Times New Roman'"> (2004) y </span><span = style=3D"font-family:'Times New Roman'; background-color:#ffff00">Cardona-P= uello & Barrios-Salas (2015</span><span style=3D"font-family:'Times New= Roman'">) coinciden en el ABP, Cuando se aplica de manera estructurada, me= jora notablemente el proceso educativo, alej=C3=A1ndose de pr=C3=A1cticas t= radicionales y poco motivadoras.</span><span style=3D"font-family:'Times Ne= w Roman'">  </span></p><p style=3D"text-align:justify; line-height:108= %; font-size:12pt"><span style=3D"font-family:'Times New Roman'">El </span>= <span style=3D"font-family:'Times New Roman'; text-decoration:underline">Ap= rendizaje Basado en Problemas (ABP</span><span style=3D"font-family:'Times = New Roman'">) se presenta como una metodolog=C3=ADa educativa innovadora qu= =C3=A9 transforma el paradigma tradicional de ense=C3=B1anza. Coloca al de = estudiante en el centro del proceso de aprendizaje, fomentando su participa= ci=C3=B3n activa en la resoluci=C3=B3n de problemas reales.</span></p><p st= yle=3D"text-align:justify; line-height:108%; font-size:12pt"><span style=3D= "font-family:'Times New Roman'">Los beneficios del ABP son numerosos e incl= uye una mejora retenci=C3=B3n de conocimientos, el desarrollo de habilidade= s como el pensamiento cr=C3=ADtico, la colaboraci=C3=B3n y la comunicaci=C3= =B3n efectiva. Adem=C3=A1s, proporciona un contexto m=C3=A1s realista para = el aprendizaje, promoviendo la autonom=C3=ADa del estudiante y mejorando la= s habilidades de investigaci=C3=B3n. </span></p><p style=3D"text-align:just= ify; line-height:108%; font-size:12pt"><span style=3D"font-family:'Times Ne= w Roman'">Investigadores como </span><span style=3D"font-family:'Times New = Roman'; background-color:#ffff00">Pinheiro</span><span style=3D"font-family= :'Times New Roman'"> et al. (2023) y </span><span style=3D"font-family:'Tim= es New Roman'; background-color:#ffff00">Morales & Landa (2004</span><s= pan style=3D"font-family:'Times New Roman'">) destacan la relevancia inmedi= ata del aprendizaje y el desarrollo de habilidades de pensamiento de orden = superior que proporciona el ABP. Sin embargo, se ha identificado una brecha= significativa en el conocimiento de los docentes sobre esta metodolog=C3= =ADa. </span></p><p class=3D"ListParagraph" style=3D"text-indent:-18pt; tex= t-align:justify; line-height:108%; font-size:12pt"><span style=3D"font-fami= ly:'Times New Roman'"><span style=3D"font-weight:bold; color:#767171">5.</s= pan></span><span style=3D"width:9pt; font:7pt 'Times New Roman'; display:in= line-block">      </span><span style=3D"font-famil= y:'Times New Roman'; font-weight:bold; color:#767171">Conclusiones</span></= p><p style=3D"text-align:justify; line-height:108%; font-size:12pt"><span s= tyle=3D"font-family:'Times New Roman'">Para abordar esta brecha, se propone= el desarrollo de programas de capacitaci=C3=B3n integrales y pr=C3=A1ctico= s. La gu=C3=ADa did=C3=A1ctica propuesta en esta investigaci=C3=B3n busca a= bordar directamente esta necesidad de capacitaci=C3=B3n a trav=C3=A9s de ac= tividades interactivas y recursos digitales. </span></p><p style=3D"text-al= ign:justify; line-height:108%; font-size:12pt"><span style=3D"font-family:'= Times New Roman'">La implementaci=C3=B3n del ABP, combinada con el uso de p= lataformas virtuales como Chamilo, promueve mejorar significativamente vari= os aspectos del aprendizaje estudiantil. Esto incluye el desarrollo de la a= utonom=C3=ADa, la mejora de habilidades de investigaci=C3=B3n, el fortaleci= miento de la comunicaci=C3=B3n efectiva y el perfeccionamiento de la capaci= dad de resoluci=C3=B3n de problemas pr=C3=A1cticos. </span></p><p style=3D"= text-align:justify; line-height:108%; font-size:12pt"><span style=3D"font-f= amily:'Times New Roman'">La integraci=C3=B3n de plataformas virtuales en el= proceso de ABP a=C3=B1ade beneficios adicionales, facilitando la colaborac= i=C3=B3n en l=C3=ADnea, permitiendo el acceso a una amplia gama de recursos= digitales y ofreciendo herramientas para la gesti=C3=B3n eficiente del apr= endizaje. </span></p><p style=3D"text-align:justify; line-height:108%; font= -size:12pt"><span style=3D"font-family:'Times New Roman'">El ABP fomenta ha= bilidades cruciales para el siglo XXI como la adaptabilidad, la toma de dec= isiones aut=C3=B3noma, la capacidad para enfrentar desaf=C3=ADos en la vida= personal y profesional, el pensamiento cr=C3=ADtico, y la creatividad e in= novaci=C3=B3n. </span></p><p style=3D"text-align:justify; line-height:108%;= font-size:12pt"><span style=3D"font-family:'Times New Roman'">La integraci= =C3=B3n de ABP y las plataformas virtuales en la pr=C3=A1ctica docente repr= esenta un paso significativo hacia la modernizaci=C3=B3n de la educaci=C3= =B3n. Prepara los estudiantes para un mundo en constante evoluci=C3=B3n y l= os equipa con las competencias necesarias para su futuro =C3=A9xito.</span>= </p><p style=3D"text-align:justify; line-height:108%; font-size:12pt"><span= style=3D"font-family:'Times New Roman'">Sin embargo, existen desaf=C3=ADos= para implementar el ABP en plataformas virtuales, como la falta de disposi= tivos y competencias digitales, seg=C3=BAn lo expresado por los docentes en= cuestados y expertos entrevistados.</span></p><p style=3D"text-align:justif= y; line-height:108%; font-size:12pt"><span style=3D"font-family:'Times New = Roman'">En general, esta investigaci=C3=B3n ha logrado relacionar efectivam= ente los conocimientos de la literatura consultada, la experiencia docente = y el juicio de los expertos con nuevas perspectivas y propuestas pr=C3=A1ct= icas para la implementaci=C3=B3n del ABP en contextos educativos cambiantes= .</span></p><p class=3D"ListParagraph" style=3D"text-indent:-18pt; text-ali= gn:justify; line-height:108%; font-size:12pt"><span style=3D"font-family:'T= imes New Roman'; font-weight:bold; color:#767171"><span>6.</span></span><sp= an style=3D"width:9pt; font:7pt 'Times New Roman'; display:inline-block">&#= xa0;     </span><span style=3D"font-family:'Times New R= oman'; font-weight:bold; color:#767171">Conflicto de intereses</span></p><p= style=3D"text-align:justify; line-height:108%; font-size:12pt"><span style= =3D"font-family:'Times New Roman'">Los autores declaran que no existe confl= icto de intereses en relaci=C3=B3n con el art=C3=ADculo presentado.</span><= /p><p class=3D"ListParagraph" style=3D"text-indent:-18pt; text-align:justif= y; line-height:108%; font-size:12pt"><span style=3D"font-family:'Times New = Roman'; font-weight:bold; color:#767171"><span>7.</span></span><span style= =3D"width:9pt; font:7pt 'Times New Roman'; display:inline-block">  = 0;    </span><span style=3D"font-family:'Times New Roman'; f= ont-weight:bold; color:#767171">Declaraci=C3=B3n de contribuci=C3=B3n de lo= s autores</span></p><p style=3D"text-align:justify; line-height:108%; font-= size:12pt"><span style=3D"font-family:'Times New Roman'">Todos autores cont= ribuyeron significativamente en la elaboraci=C3=B3n del art=C3=ADculo.</spa= n></p><p class=3D"ListParagraph" style=3D"text-indent:-18pt; text-align:jus= tify; line-height:108%; font-size:12pt"><span style=3D"font-family:'Times N= ew Roman'; font-weight:bold; color:#767171"><span>8.</span></span><span sty= le=3D"width:9pt; font:7pt 'Times New Roman'; display:inline-block"> &#= xa0;    </span><span style=3D"font-family:'Times New Roman';= font-weight:bold; color:#767171">Costos de financiamiento </span></p><p st= yle=3D"text-align:justify; line-height:108%; font-size:12pt"><span style=3D= "font-family:'Times New Roman'">La presente investigaci=C3=B3n fue financia= da en su totalidad con fondos propios de los autores.</span></p><p class=3D= "ListParagraph" style=3D"text-indent:-18pt; text-align:justify; line-height= :108%; font-size:12pt"><span style=3D"font-family:'Times New Roman'; font-w= eight:bold; color:#767171"><span>9.</span></span><span style=3D"width:9pt; = font:7pt 'Times New Roman'; display:inline-block">    &= #xa0; </span><span style=3D"font-family:'Times New Roman'; font-weight:bold= ; color:#767171">Referencias bibliogr=C3=A1ficas</span></p><p style=3D"marg= in-left:35.45pt; text-indent:-35.45pt; line-height:normal; font-size:12pt">= <span style=3D"font-family:'Times New Roman'; background-color:#ffffff">Ant= e Baltazaca, E. A. (2023). Aprendizaje basado en problemas como estrategia = did=C3=A1ctica en instalaci=C3=B3n el=C3=A9ctricas de interior para bachill= erato t=C3=A9cnico [Tesis de maestr=C3=ADa, Pontificia Universidad Cat=C3= =B3lica del Ecuador, Ambato, Ecuador]. </span><a href=3D"https://repositori= o.puce.edu.ec/server/api/core/bitstreams/650a6e3a-0661-4fb7-b691-7e9a1fc81e= f0/content" style=3D"text-decoration:none"><span class=3D"Hyperlink" style= =3D"font-family:'Times New Roman'; background-color:#ffffff">https://reposi= torio.puce.edu.ec/server/api/core/bitstreams/650a6e3a-0661-4fb7-b691-7e9a1f= c81ef0/content</span></a></p><p style=3D"margin-left:35.45pt; text-indent:-= 35.45pt; line-height:normal; font-size:12pt"><span style=3D"font-family:'Ti= mes New Roman'; background-color:#ffffff">Baloco, C., &</span><span sty= le=3D"font-family:'Times New Roman'; background-color:#ffffff">  </spa= n><span style=3D"font-family:'Times New Roman'; background-color:#ffffff">L= opez-Mendoza, O. (2022). Ambientes virtuales de aprendizaje con metodolog= =C3=ADa de aprendizaje basado en problemas (ABP): una estrategia did=C3=A1c= tica para el fortalecimiento de competencias matem=C3=A1ticas. Praxis, 18(2= ), 1-22. </span><a href=3D"https://dialnet.unirioja.es/servlet/articulo?cod= igo=3D8897819" style=3D"text-decoration:none"><span class=3D"Hyperlink" sty= le=3D"font-family:'Times New Roman'; background-color:#ffffff">https://dial= net.unirioja.es/servlet/articulo?codigo=3D8897819</span></a></p><p style=3D= "margin-left:35.45pt; text-indent:-35.45pt; line-height:normal; font-size:1= 2pt"><span style=3D"font-family:'Times New Roman'; background-color:#ffffff= ">Campuzano Barco, A. P. (2017). Plataforma e-learning chamilo y su influen= cia en el proceso de aprendizaje en los estudiantes de la Unidad Educativa = Rey David del Cant=C3=B3n Babahoyo [Tesis de pregrado, Universidad T=C3=A9c= nica de Babahoyo, Babahoyo, Ecuador]. </span><a href=3D"http://dspace.utb.e= du.ec/handle/49000/3147" style=3D"text-decoration:none"><span class=3D"Hype= rlink" style=3D"font-family:'Times New Roman'; background-color:#ffffff">ht= tp://dspace.utb.edu.ec/handle/49000/3147</span></a></p><p style=3D"margin-l= eft:35.45pt; text-indent:-35.45pt; line-height:normal; font-size:12pt"><spa= n style=3D"font-family:'Times New Roman'; background-color:#ffffff">Cardona= -Puello, S. P., & Barrios-Salas, J. S. (2015). Aprendizaje basado en pr= oblemas (ABP): el =E2=80=9Cproblema=E2=80=9D como parte de la soluci=C3=B3n= . Adelante A-Head, 6(3). </span><a href=3D"http://ies.unicolombo.edu.co/ind= ex.php/adelante-ahead/article/view/92" style=3D"text-decoration:none"><span= class=3D"Hyperlink" style=3D"font-family:'Times New Roman'; background-col= or:#ffffff">http://ies.unicolombo.edu.co/index.php/adelante-ahead/article/v= iew/92</span></a></p><p style=3D"margin-left:35.45pt; text-indent:-35.45pt;= line-height:normal; font-size:12pt"><span style=3D"font-family:'Times New = Roman'; background-color:#ffffff">Carbajal Leandro, A. I. (2024). El aprend= izaje basado en problemas (ABP) como predictor del desempe=C3=B1o acad=C3= =A9mico. Revista Iberoamericana ConCiencia, 9(1), 67-89. </span><a href=3D"= https://doi.org/10.32654/ConCiencia.9-1.4" style=3D"text-decoration:none"><= span class=3D"Hyperlink" style=3D"font-family:'Times New Roman'; background= -color:#ffffff">https://doi.org/10.32654/ConCiencia.9-1.4</span></a></p><p = style=3D"margin-left:35.45pt; text-indent:-35.45pt; line-height:normal; fon= t-size:12pt"><span style=3D"font-family:'Times New Roman'; background-color= :#ffffff">Chong-Baque, P. G., & Marcillo-Garc=C3=ADa, C. E. (2020). Est= rategias pedag=C3=B3gicas innovadoras en entornos virtuales de aprendizaje.= Dominio de las Ciencias, 6(3), 56-77. </span><a href=3D"https://dialnet.un= irioja.es/servlet/articulo?codigo=3D7539680" style=3D"text-decoration:none"= ><span class=3D"Hyperlink" style=3D"font-family:'Times New Roman'; backgrou= nd-color:#ffffff">https://dialnet.unirioja.es/servlet/articulo?codigo=3D753= 9680</span></a></p><p style=3D"margin-left:35.45pt; text-indent:-35.45pt; l= ine-height:normal; font-size:12pt"><span style=3D"font-family:'Times New Ro= man'; background-color:#ffffff">Fl=C3=B3rez-Nisperuza, E-P., & Gonz=C3= =A1lez-Rivas, M-S.</span><span style=3D"font-family:'Times New Roman'; back= ground-color:#ffffff">  </span><span style=3D"font-family:'Times New R= oman'; background-color:#ffffff">(2021). Dise=C3=B1o de unidades did=C3=A1c= ticas mediante el aprendizaje basado en problemas para la ense=C3=B1anza de= las ciencias. Revista Cient=C3=ADfica, 41(2), 134-149. </span><a href=3D"h= ttp://www.scielo.org.co/scielo.php?script=3Dsci_arttext&pid=3DS0124-225= 32021000200134" style=3D"text-decoration:none"><span class=3D"Hyperlink" st= yle=3D"font-family:'Times New Roman'; background-color:#ffffff">http://www.= scielo.org.co/scielo.php?script=3Dsci_arttext&pid=3DS0124-2253202100020= 0134</span></a></p><p style=3D"margin-left:35.45pt; text-indent:-35.45pt; l= ine-height:normal; font-size:12pt"><span style=3D"font-family:'Times New Ro= man'; background-color:#ffffff">Fuentes, F. (2019). Aula invertida y aprend= izaje basado en tareas a trav=C3=A9s de las TIC para el aprendizaje del ing= l=C3=A9s. Revista Vinculando, 17(2). </span><a href=3D"https://vinculando.o= rg/beta/aula-invertida-y-aprendizaje-basado-en-tareas-a-traves-de-las-tic-p= ara-el-aprendizaje-del-ingles.html" style=3D"text-decoration:none"><span cl= ass=3D"Hyperlink" style=3D"font-family:'Times New Roman'; background-color:= #ffffff">https://vinculando.org/beta/aula-invertida-y-aprendizaje-basado-en= -tareas-a-traves-de-las-tic-para-el-aprendizaje-del-ingles.html</span></a><= /p><p style=3D"margin-left:35.45pt; text-indent:-35.45pt; line-height:norma= l; font-size:12pt"><span style=3D"font-family:'Times New Roman'; background= -color:#ffffff">Gil-Galv=C3=A1n, Rosario. (2018). El uso del aprendizaje ba= sado en problemas en la ense=C3=B1anza universitaria. An=C3=A1lisis de las = competencias adquiridas y su impacto. Revista Mexicana de Investigaci=C3=B3= n Educativa, 23(76), 73-93. </span><a href=3D"https://www.scielo.org.mx/sci= elo.php?script=3Dsci_arttext&pid=3DS1405-66662018000100073&lng=3Des= &tlng=3Des" style=3D"text-decoration:none"><span class=3D"Hyperlink" st= yle=3D"font-family:'Times New Roman'; background-color:#ffffff">https://www= .scielo.org.mx/scielo.php?script=3Dsci_arttext&pid=3DS1405-666620180001= 00073&lng=3Des&tlng=3Des</span></a><span style=3D"font-family:'Time= s New Roman'; background-color:#ffffff">  </span><span style=3D"font-f= amily:'Times New Roman'; color:#ff0000; background-color:#ffffff">NO ESTA C= ITADO</span></p><p style=3D"margin-left:35.45pt; text-indent:-35.45pt; line= -height:normal; font-size:12pt"><span style=3D"font-family:'Times New Roman= '; background-color:#ffffff">Henao Ca=C3=B1averal, M. C. (2018). El ABP (Ap= rendizaje Basado en Problemas) en el aprendizaje de los n=C3=BAmeros racion= ales [Tesis de maestr=C3=ADa, Universidad Nacional de Colombia]. Repositori= o Institucional Universidad Nacional de Colombia. </span><a href=3D"https:/= /repositorio.unal.edu.co/handle/unal/68675" style=3D"text-decoration:none">= <span class=3D"Hyperlink" style=3D"font-family:'Times New Roman'; backgroun= d-color:#ffffff">https://repositorio.unal.edu.co/handle/unal/68675</span></= a></p><p style=3D"margin-left:35.45pt; text-indent:-35.45pt; line-height:no= rmal; font-size:12pt"><span style=3D"font-family:'Times New Roman'; backgro= und-color:#ffffff">Hern=C3=A1ndez-Sampieri, R., & Mendoza, C. (2018). M= etodolog=C3=ADa de la investigaci=C3=B3n. Las rutas cuantitativa, cualitati= va y mixta. Revista Universitaria Digital de Ciencias Sociales (RUDICS), 10= (18), 92=E2=80=9395. </span><a href=3D"https://doi.org/10.22201/fesc.200722= 36e.2019.10.18.6" style=3D"text-decoration:none"><span class=3D"Hyperlink" = style=3D"font-family:'Times New Roman'; background-color:#ffffff">https://d= oi.org/10.22201/fesc.20072236e.2019.10.18.6</span></a></p><p style=3D"margi= n-left:35.45pt; text-indent:-35.45pt; line-height:normal; font-size:12pt"><= span style=3D"font-family:'Times New Roman'; background-color:#ffffff">J=C3= =A1come Encalada, S. (2022). Ciberpedagog=C3=ADa: fundamentaciones de innov= aci=C3=B3n educativa (Primera edici=C3=B3n). Grupo CEO Editorial.</span><sp= an style=3D"font-family:'Times New Roman'; background-color:#ffffff"> = </span><a href=3D"https://editorialceo.ceocapacitacionestrategias.com/inde= x.php/editorial/catalog/view/1/2/49" style=3D"text-decoration:none"><span c= lass=3D"Hyperlink" style=3D"font-family:'Times New Roman'; background-color= :#ffffff">https://editorialceo.ceocapacitacionestrategias.com/index.php/edi= torial/catalog/view/1/2/49</span></a></p><p style=3D"margin-left:35.45pt; t= ext-indent:-35.45pt; line-height:normal; font-size:12pt"><span style=3D"fon= t-family:'Times New Roman'; background-color:#ffffff">J=C3=A1come Encalada,= S. H., & S=C3=A1nchez Vera, M. del M. (2023). Autopercepci=C3=B3n de l= a alfabetizaci=C3=B3n digital en la comunicaci=C3=B3n y gesti=C3=B3n del co= nocimiento. Revista Cient=C3=ADfica UISRAEL, 10(3), 73=E2=80=9396. </span><= a href=3D"https://doi.org/10.35290/rcui.v10n3.2023.938" style=3D"text-decor= ation:none"><span class=3D"Hyperlink" style=3D"font-family:'Times New Roman= '; background-color:#ffffff">https://doi.org/10.35290/rcui.v10n3.2023.938</= span></a><span style=3D"font-family:'Times New Roman'; background-color:#ff= ffff"> </span><span style=3D"font-family:'Times New Roman'; color:#ff0000; = background-color:#ffffff">NO ESTA CITADO</span></p><p style=3D"margin-left:= 35.45pt; text-indent:-35.45pt; line-height:normal; font-size:12pt"><span st= yle=3D"font-family:'Times New Roman'; background-color:#ffffff">Lara-Freire= , M. L., Lara-Freire, M. A., Huilcapi-Ruiz, G. M., & L=C3=B3pez-C=C3=A1= rdenas, F. E. (2021). La Ense=C3=B1anza de fracciones utilizando la metodol= og=C3=ADa del aprendizaje basado en problemas. Dominio De Las Ciencias, 7(3= ), 498-512. </span><a href=3D"https://dialnet.unirioja.es/descarga/articulo= /8229708.pdf" style=3D"text-decoration:none"><span class=3D"Hyperlink" styl= e=3D"font-family:'Times New Roman'; background-color:#ffffff">https://dialn= et.unirioja.es/descarga/articulo/8229708.pdf</span></a></p><p style=3D"marg= in-left:35.45pt; text-indent:-35.45pt; line-height:normal; font-size:12pt">= <span style=3D"font-family:'Times New Roman'; background-color:#ffffff">L= =C3=B3pez Bernal, M. (2021). Particularidades del aprendizaje colaborativo = en enfermer=C3=ADa mediante el Aprendizaje basado en Proyectos (ABP). Revis= ta Dilemas Contempor=C3=A1neos: Educaci=C3=B3n, Pol=C3=ADtica y Valores, 8(= SPE4)13. </span><a href=3D"https://doi.org/10.46377/dilemas.v8i.2763" style= =3D"text-decoration:none"><span class=3D"Hyperlink" style=3D"font-family:'T= imes New Roman'; background-color:#ffffff">https://doi.org/10.46377/dilemas= .v8i.2763</span></a></p><p style=3D"margin-left:35.45pt; text-indent:-35.45= pt; line-height:normal; font-size:12pt"><span style=3D"font-family:'Times N= ew Roman'; background-color:#ffffff">Mart=C3=ADnez Garc=C3=ADa, M., & R= omero Faz, D. (2016). Aprendizaje Basado en Problemas mediante un modelo de= Teleense=C3=B1anza. Educaci=C3=B3n en la Sociedad del Conocimiento, 17 (3)= , 49-66.</span><span style=3D"font-family:'Times New Roman'; background-col= or:#ffffff">  </span><a href=3D"https://www.redalyc.org/articulo.oa?id= =3D535554763004" style=3D"text-decoration:none"><span class=3D"Hyperlink" s= tyle=3D"font-family:'Times New Roman'; background-color:#ffffff">https://ww= w.redalyc.org/articulo.oa?id=3D535554763004</span></a></p><p style=3D"margi= n-left:35.45pt; text-indent:-35.45pt; line-height:normal; font-size:12pt"><= span style=3D"font-family:'Times New Roman'; background-color:#ffffff">Mart= =C3=ADnez, M., & Sinning, R. (2020). Evaluaci=C3=B3n de competencias di= gitales en docentes de b=C3=A1sica primaria para el fortalecimiento del pro= ceso de ense=C3=B1anza aprendizaje [Tesis de maestr=C3=ADa, Universidad de = Santander UDES, Bucaramanga, Colombia] </span><a href=3D"https://repositori= o.udes.edu.co/server/api/core/bitstreams/a4478865-d061-451b-af02-0edc2b18e9= d9/content" style=3D"text-decoration:none"><span class=3D"Hyperlink" style= =3D"font-family:'Times New Roman'; background-color:#ffffff">https://reposi= torio.udes.edu.co/server/api/core/bitstreams/a4478865-d061-451b-af02-0edc2b= 18e9d9/content</span></a></p><p style=3D"margin-left:35.45pt; text-indent:-= 35.45pt; line-height:normal; font-size:12pt"><span style=3D"font-family:'Ti= mes New Roman'; background-color:#ffffff">Menj=C3=ADvar Valencia, E. (2019)= . Dise=C3=B1o de ambientes de aprendizaje con el uso de la plataforma Chami= lo LMS. Una experiencia de formaci=C3=B3n docente. Di=C3=A1-logos, 7(22), 5= -26. </span><a href=3D"https://www.revistas.udb.edu.sv/ojs/index.php/dl/art= icle/view/2/258" style=3D"text-decoration:none"><span class=3D"Hyperlink" s= tyle=3D"font-family:'Times New Roman'; background-color:#ffffff">https://ww= w.revistas.udb.edu.sv/ojs/index.php/dl/article/view/2/258</span></a></p><p = style=3D"margin-left:35.45pt; text-indent:-35.45pt; line-height:normal; fon= t-size:12pt"><span style=3D"font-family:'Times New Roman'; background-color= :#ffffff">Mera, G., & Timana, W. (2024). Estrategia did=C3=A1ctica medi= ada por el software GeoGebra con enfoque de aprendizaje basado en problemas= para el fortalecimiento de la comprensi=C3=B3n del concepto de Ecuaci=C3= =B3n Lineal Entera de primer grado en estudiantes de s=C3=A9ptimo grado de = la Instituci=C3=B3n Educativa el Rosario del municipio de Morales Cauca [Te= sis de maestr=C3=ADa, Universidad de Cartagena, Cartagena, Colombia]. </spa= n><a href=3D"https://hdl.handle.net/11227/17488" style=3D"text-decoration:n= one"><span class=3D"Hyperlink" style=3D"font-family:'Times New Roman'; back= ground-color:#ffffff">https://hdl.handle.net/11227/17488</span></a></p><p s= tyle=3D"margin-left:35.45pt; text-indent:-35.45pt; line-height:normal; font= -size:12pt"><span style=3D"font-family:'Times New Roman'; background-color:= #ffffff">Morales, P., & Landa, V. (2004). Aprendizaje basado en problem= as. Theoria, 13(1), 145-157. </span><a href=3D"https://www.redalyc.org/arti= culo.oa?id=3D29901314" style=3D"text-decoration:none"><span class=3D"Hyperl= ink" style=3D"font-family:'Times New Roman'; background-color:#ffffff">http= s://www.redalyc.org/articulo.oa?id=3D29901314</span></a></p><p style=3D"mar= gin-left:35.45pt; text-indent:-35.45pt; line-height:normal; font-size:12pt"= ><span style=3D"font-family:'Times New Roman'; background-color:#ffffff">Pi= nheiro dos Santos, B. R., Moro Cabero, M. M., & Damian, I. P. M. (2023)= . Aprendizaje basado en problemas: una estrategia pedag=C3=B3gica para la e= nse=C3=B1anza en las ciencias de la informaci=C3=B3n y documentaci=C3=B3n. = Palabra Clave (La Plata), 13(1), e197. </span><a href=3D"https://doi.org/10= .24215/18539912e197" style=3D"text-decoration:none"><span class=3D"Hyperlin= k" style=3D"font-family:'Times New Roman'; background-color:#ffffff">https:= //doi.org/10.24215/18539912e197</span></a></p><p style=3D"margin-left:35.45= pt; text-indent:-35.45pt; line-height:normal; font-size:12pt"><span style= =3D"font-family:'Times New Roman'; background-color:#ffffff">Rodr=C3=ADguez= Ram=C3=ADrez, P. C. (2016). Uso pedag=C3=B3gico de la plataforma virtual C= hamilo</span><span style=3D"font-family:'Times New Roman'; background-color= :#ffffff">           </sp= an><span style=3D"font-family:'Times New Roman'; background-color:#ffffff">= para incentivar la producci=C3=B3n escrita en el proceso de ense=C3=B1anza = de ingl=C3=A9s en una universidad privada de Lima [Tesis de maestr=C3=ADa, = Pontificia Universidad Cat=C3=B3lica del Per=C3=BA, Lima, Per=C3=BA]. </spa= n><a href=3D"http://hdl.handle.net/20.500.12404/7205" style=3D"text-decorat= ion:none"><span class=3D"Hyperlink" style=3D"font-family:'Times New Roman';= background-color:#ffffff">http://hdl.handle.net/20.500.12404/7205</span></= a><span style=3D"font-family:'Times New Roman'; background-color:#ffffff">.= </span></p><p style=3D"margin-left:35.45pt; text-indent:-35.45pt; line-heig= ht:normal; font-size:12pt"><span style=3D"font-family:'Times New Roman'; ba= ckground-color:#ffffff">Velazquez, R. V., Maldonado Z=C3=BA=C3=B1iga , K., = Castro Piguave, C., & Batista Garcet , Y. (2021). Metodolog=C3=ADa del = aprendizaje basado en problemas como una herramienta para el logro del proc= eso de ense=C3=B1anza- aprendizaje. Revista Cient=C3=ADfica Sinapsis, 1(19)= . </span><a href=3D"https://dialnet.unirioja.es/descarga/articulo/8474740.p= df" style=3D"text-decoration:none"><span class=3D"Hyperlink" style=3D"font-= family:'Times New Roman'; background-color:#ffffff">https://dialnet.unirioj= a.es/descarga/articulo/8474740.pdf</span></a></p><p style=3D"margin-left:35= .45pt; text-indent:-35.45pt; line-height:normal; font-size:12pt"><span styl= e=3D"font-family:'Times New Roman'"> </span></p><p style=3D"margin-lef= t:35.4pt; line-height:normal"><span style=3D"font-family:'Times New Roman';= color:#ff0000"> </span></p><div style=3D"clear:both"><p style=3D"marg= in-bottom:0pt; line-height:normal; font-size:12pt"><span style=3D"height:0p= t; display:block; position:absolute; z-index:-65534"><img src=3D"data:image= /png;base64,iVBORw0KGgoAAAANSUhEUgAAAuQAAAABCAYAAACWsrt9AAAABHNCSVQICAgIfAh= kiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAABxJREFUSIntwTEBAAAIwKDZP7TG8AGm2gAAgA9zmT= sBAl+AgmQAAAAASUVORK5CYII=3D" width=3D"740" height=3D"1" alt=3D"" style=3D"= margin-top:-37.82pt; margin-left:-63.3pt; position:absolute" /></span><span= style=3D"height:0pt; display:block; position:absolute; z-index:-65535"><im= g src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAiAAAAAsCAYAAABc1ANO= AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAD8ZJREFUeJztnXlsVcUXx78= P5AciW1FEEaUYFhdAFllFkIACQlgEsWoEFVGrCAJBAi4BQUgMi9WSuAEKrqUaQFJZRBZRXAiIYF= VQSwUUpIZSaAst7fn9cTK59907d3u9fW3hfJKbvHff3Jk5c2bmzjvz3v1GiIggCIIgCIIQJyKRS= KRaRVdCEARBEIQLD1mACIIgCIIQd2QBIgiCIAhC3JEFiCAIgiAIceci/0kj5VcLQRAEQbhguTD/= CyIREEEQBEEQ4o7vBcjo0UAkwkf79sDcucDZs/Z0U6boz4fJli3A/v3lW0ZZePVVbqfiYvd0X3z= BtsRCSQnwwgvsi1jzqGrcdpvRB0+d4nNr1vD70aMrtGq+SU0FDh60n3/lFcM287FpE3/ud1z57X= vlVb4XN98MzJhR9nysxFK/oG1lngMTE4ExY4DffgtcVQDhzpPPPGPUa+NGPvfOO0DHjvzZjh3Am= TPR59au5fRNmgB//mnkNWECn3/0UefyYhmHsfbL8uLo0djtF0KEfAMaNw60axfoyBHQoEGg5ctB= RPE/nnwStHChv7Tbt4dbtt/8hg4FFRU5f75lC2jaNNDp07HVIyMDtHYt6LvvQHPmlG97h92GsR7= //gvq0wf0xRfGuaIi0IwZoL//rvj6+Tn27wclJYGOH48+/+mn3Bf++QfUrx+fy8oCbd4c3B9efU= 93BCm/LEdWFmj69PDyK2vfDNpWycmgPXtABQWg+fNBDz0UbvvEas9zz4G2bTP62GOPgfLyQH/+C= Ro1CrR3r/1cYSFo9mzQyJGgM2eMvNLS3MuKdRzG0i/L+4jF/vI5LjyAGLZgatTgVeOQIcCvv4a/= IPLi8GH+9vHuu97fIHJygFWrwis7rPyKi4HFi4FZs4BLLoktj99/B5o2Bbp0AZ59tux1ciLsNiw= LjRoBTzwB/PyzcY4IuOUW4MorK65eQWjZEnjqKWDJkujz/fvb+0JiIvvXTHn5w2/5lYmK7Jtnzw= IFBTwGwyIse2rVAoqKgGrVgObNgenT9ecAoHVroGdP4I03/Od/PoxDRSz2C+EReAFy7hxw4gSwb= RuH3caMASZOBN58E1i0iMNXZ84Ao0ZxOG7VKg67btsGLFvGIcBNm3gLYeFCfj97Nr8fMCA6Px2b= NgHJydxpvv7aOH/ppcDkyZxPJALMmcPH/PlA9+48QFJTgTZtgKQkDp06laerGxCdn+LAAaBfP+C= GGzitH374gbdOatZ0Lm/wYA4Dvv8+3wTMti5ezKHC9u25Tf3Y5uUPJzuUzd262cvwaoPrrgOmTQ= NmzvQuB9DbYWXgQCA9HcjP5/c7dvDE51QPXTuWlnI5HTtyX1J56crX9as+ffj1unXAH3/wgnzjR= v99uksXrk9RkWFX7dr6vlK7dvS4Uv6oUcNer6BtaS3Hq/zWre3+9FMWES+4lN2A8xgDnPuItS1V= WyQmGu2j863Oh2Vpq86dgYQEvhGrG7nOHqd+otozOxsYPhxYsAD46afo+SWWeUVx9dXAsGHAXXc= Bq1cDN94ItGhhP1erFqdPTga+/57nJb+4jUOv9tT5I5b7BeA+T3bsyPlv2QL89RfPt2vW2G1xst= +p34Rxb7O3UYx7eVWdAAETGjcONHo06PrrQZMngw4eBA0ZwuFIFUoaOZJDe3l5oMGDOeS6dy+H/= LKyQLt3g55+msN3n3wCys8HTZwI+uYbUE6OPT/zUVQEeucdI1Q5frzx2eHDoEmT+HVmJofWcnI4= ZErE5b34IofaNmwA9e3LYXBdebq6EUXnZz1yc0EdOoBKS73DjR9+CFq2zL28nBzO4+BBtnXmzOg= 8Xn6ZQ8F+bfPyh5MdymZdGSqN07VZWRyizs3lut50E+jcOX1aJzusZRCBFi/m9iICrVnj7gtdO6= 5fD3rtNe6n06eDdu50Lv/QIXu/IgJNmWLU7fBhdz/q+li/fqDsbHvdzVsg5kONK+UPXX9XaYcOB= a1b568tg5T/6696f3r5bft2Ds/n5/NWz/TpzmPMrT9Z29I8HlX76HwbZlslJ4N+/JHTL13qPWfo= +omq76pVoM8/N87p5hfdONEd5i0Ydfz7L28T3XuvsdVrPae2Gw4d4m313Fz/WxBO49CpP6g5Uee= PWO4Xqs2c5snSUtDDD/O20OnToM8+s9vgZr9Tvwnj3mZvo75UWlpKFxJADBGQqVOBzExetdepAz= RuDFx8sT5tQgJ/O2nalMO7iYnAVVdx+PKPP4ARI/h8Sorxo1K3/LZvBx58kFejPXvySvLYMX/1z= swEOnTgVfDttwOnT/MPqHTlOdVNBxGweTP/sGv3bv4G5kVJSfQ3PqfyLr8caNbMaLOy2ubmDy87= dGXk5Xm3wRVXAPXrA+3acbn5+c5p3cowM2IEb8H9/jt/K1c41cPajvv3c0SnVi3+MXWnTu7tqGP= AAM7n7FnO382Puj72v/8BFwX4E3xQfvnFX1sGxerPggJvv+3axT9crF2b0wHuY8ytP7nND4Czb9= 0I2laRCDB+PPfB//5zt0fXTxSdOgEffgg8/rg+ahR0XlFkZgInT3KEZsoUjkwsW2Y/pyJYAPty0= iRg3jz/5TiNQ7/j2Eos9wvAeZ6MRICxY4EVK4CtW4Fbb3UuO6j9Zb232dvoNPLCGKBVjAr7G+41= 13DHKCjgwTZmjHv63Fzgq6+MmyURTzAffMDnLroIOHSIO7vam4xE+Doi3nv/6COeMLKzucPUrRu= sbub8FOnpwM6dHJru0yd6YeFE8+bA33/H3hZWgtjmhJMdyuYWLexl1Kvnfi3AoeTcXJ5ga9cG1q= 93TquzQ5VhpnFj4KabgI8/Blq18rbBSmIiX2tdXOjKT0iw9ysA6N2bQ7slJbwdAvj3Y2kp59mok= f5zN5Q/qlfX10vh5q+yYPVn3brefmvcmEPfJ08Cx4/zObe28utH3XjU+VY3N5iJpa0SEvhGPm8e= h/ebNtXbo+snissu4xt4cjLw0kvR9sQyryhKS3lu/OcfXvAfOmQsyMznrL/56dsXaNCAy/WD0zj= 06g9e/tAR6xzZvTuwbx/Pt/Xru6e12h9LPf3W1d5GiagXxgCtavgNlzzwAAj8tBT64QcOI915J+= iWW0BLlvD7hQv583Hj+Jf+AJ/r149fp6SAunXj10uX8r83WrcG3XMP/3Lbmp/56N2br1O/vC4sN= OqTlAQqKeFtoWHDOKTVsCFo9WoOq82eDSouBi1axGHje+4BHTjgXF5xsb1u6rzKT4VEt24FtW3L= W0NTpnCZqalGvU6cAE2YEJ1/YSFo+HAjHKcrb+hQziM1lW0BOHxNBHrrLcP2DRs4DO5lm5c/Zsy= w22G2edYsvtZchrJH1wZEHJZMTmZbhw3jEL5TWiK9HU7h38zM6F/hO9VD145paRyqbdsW9Oijxl= aIrnxdv1q7ltN/9FH01orOj7o+tnMnh8GJovtHdrbh1969jfTmcWX2h65equ+NGqVvS11/VIdX+= UlJdn/68VtBAWjqVFCPHtwOdevyNqRujLn1J2tbqrYYONBon6Iiu2+dfBi0rcxz4Lff8hzw0EPG= 2HSyx9pPVHuOHMk2dujAWxjm+WXLFnsbOPlu6tTo+SAz0xh7bduCFizgrQLruaef5mvM/+QpLOS= 28OorbuNQ1x/Mc6LOH716Bb9fELnPk+pYu5btt9Z90iR3+536TRj3NnsbHfBxFz6/AICIeuGNPA= k1TDZv5mjA88/H/k+Yys7Bg7xNNnduRdek8nDgALfHggVAw4YVXZtgiD8vDIqL7dGaqsq5c8Drr= /OWmV8qxv4L70mokUgkUo670IIbffrwvyC+/55fn28UF/NWEwBcey3wyCMVW5/Kwpdf8t+vq9ri= Q/x54XC+LD7ee4+PlJRg150v9lcFAkRABEEQBEEQyk7ACIhswQhVEVlfC4IgVEZEjE4QBEEQhLg= TeAFSFgE1M37FmMziVV7X6D73K35lTuckGBYW8RDsU6SmAvfdx/bs2xdOnkT8BL/nn7d/ZhadCt= NOa14rVwJpaeHkLQiCIMSfQAuQrVt5AdK5c9kLXrDAeBS5G+np/q/RfW6+3m85/fvzI5ZzcvxdG= xS/todBr17AoEHAww/zcwfCIBJhNU0dEyYAQ4fy6zDttOZVsyZw993h5C0IgiDEH98LkDAE1KoK= ToJhVZF27YD77+d/X1xxRUXXJjyGDOGFkCAIglA18b0AsQqo6YTGnASDrEI8SoypsFAvWkQa8Sq= zIJdOcMr8ue56nbiTLp1CJxjmZLcu78JCfoyyEsqKRIC9e4163nmnXkRJl9exY9GiVTr8CrGRh1= CUzj4nUabiYlbi7dKFFzhmUlLc/eUktuXHt9b6uwlSCYIgCJUUv08tswqo6YTGNmxwFgzSidZlZ= OhFi3TiVeoaJ8Ep8+dO1xNFizu5pSPSC4b5FVg7cgQ0diw/TfDttw0RPVXPw4fdxebMeWVkRItW= uR1eQmxewmE6+7Kz7aJMWVn85Mm8PH7KYKdORjso0Skvf1nrS+TtWyfhPee2FARBECobQIAIiFV= ADbALU/3yi7NgkE5EykkESideZcZLcEp3PWnEnbzKcRIM8yOw1qQJix8NGwZ89hnQtas9H52Ikq= 6enTs7i1YpdNfpyvAjFGW1r7BQX2bjxqwF0qYN6x84pdP5y6m+Xr51EozzK9wnCIIgVA58Pweke= fNo9UTAEKY6doxv4q1asQjPiBHuipUKJQLVvTvfSJRokRKv6tLFEK8yowSnWrfWi67prk9P53+C= TJvG9S4pcS/HTTDMavf69fa81Y096D+GdPVUolV79rBo1fLl/q7T0bIlPx3Q2uZu9jVoYBdlqlY= NOHqUz2VlcZo6dfRl6vylq2/16t6+1dU/qPCeIAiCUAnwGy6xCqjphMacRNycROvGjtWLQOnEq0= aPdhecMgt26a5X6c3iTrp0aWl2wbCffwbdfTen9yuwlpcH6to1WjAvL8+oZ7NmehElXV6ZmdGiV= eb6BBViW7nSXThMZ5+TKNPy5aAbb+T0R47w9Up0qkMHd385CY55+VYndKWzc8UKJaQlCIIgVDaA= gGJ0ZgG148fPX2EqnWDY11/zDzRPnfJn9+7dLMfctSt/u8/IAHr2jE2CXYeqz6WXhpOf4vwTHJM= noQqCIFQ2AovRKQG1b74B7riDz52PwlRWwbBjx3gRUa+e8SwNL7vz841/rfTowc/HCGvxoeoT9u= JDBMcEQRCEeBEoAiIIVQ+JgAiCIFQ2AkZAZCIXBEEQBCEcRIxOEARBEIS4IwsQQRAEQRDijixAB= EEQBEGIO7IAEQRBEAQh7sgCRBAEQRCEuCMLEEEQBEEQ4o4sQARBEARBiDuyABEEQRAEIe7IAkQQ= BEEQhLgjCxBBEARBEARBEARBEARBEARBEITQ+T+MWSPj4PMuQQAAAABJRU5ErkJggg=3D=3D" w= idth=3D"544" height=3D"44" alt=3D"" style=3D"margin-top:-35.9pt; margin-lef= t:96.8pt; position:absolute" /></span><span style=3D"letter-spacing:3pt; co= lor:#ffffff">          &#= xa0;      </span><span style=3D"letter-spacing:3pt= ; color:#ffffff">Nombre</span><span style=3D"width:141.26pt; letter-spacing= :3pt; display:inline-block"> </span><span style=3D"width:63.4pt; lette= r-spacing:3pt; display:inline-block"> </span><span style=3D"width:27.7= pt; letter-spacing:3pt; display:inline-block"> </span><span style=3D"w= idth:35.4pt; letter-spacing:3pt; display:inline-block"> </span><span s= tyle=3D"letter-spacing:3pt; color:#ffffff"> </span><span style=3D"width:32.= 69pt; letter-spacing:3pt; display:inline-block"> </span><span style=3D= "color:#ffffff"> </span><span style=3D"color:#ffffff; background-color:#fff= f00">1</span></p><p class=3D"Footer"><span> </span></p></div></div></b= ody></html>