</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 }h1, h3, h4, p { margin:0pt 0pt 8pt= }li, table { margin-top:0pt; margin-bottom:8pt }h1 { margin-top:12pt; marg= in-bottom:3pt; text-align:justify; page-break-inside:auto; page-break-after= :avoid; line-height:115%; font-family:Cambria; font-size:16pt; font-weight:= bold; color:#000000 }h3 { margin-top:2pt; margin-bottom:0pt; page-break-ins= ide:avoid; page-break-after:avoid; line-height:108%; font-family:'Calibri L= ight'; font-size:12pt; font-weight:normal; color:#1f4d78 }h4 { margin-top:2= pt; margin-bottom:0pt; page-break-inside:avoid; page-break-after:avoid; lin= e-height:108%; font-family:'Calibri Light'; font-size:11pt; font-weight:nor= mal; font-style:italic; color:#2e74b5 }.BalloonText { margin-bottom:0pt; li= ne-height:normal; font-family:'Segoe UI'; font-size:9pt }.CommentSubject { = margin-bottom:8pt; text-align:left; line-height:normal; font-family:Calibri= ; font-size:10pt; font-weight:bold }.CommentText { margin-bottom:0pt; text-= align:justify; line-height:normal; font-family:'Times New Roman'; font-size= :10pt }.Default { margin-bottom:0pt; line-height:normal; font-family:Arial;= font-size:12pt; color:#000000 }.Footer { margin-bottom:0pt; line-height:no= rmal; font-size:11pt }.Header { margin-bottom:0pt; line-height:normal; font= -size:11pt }.ListParagraph { margin-left:36pt; margin-bottom:8pt; line-heig= ht:108%; font-size:11pt }.NormalWeb { margin-top:5pt; margin-bottom:5pt; li= ne-height:normal; font-family:'Times New Roman'; font-size:12pt }span.Asunt= odelcomentarioCar { font-family:'Times New Roman'; font-size:10pt; font-wei= ght:bold }span.CommentReference { font-size:8pt }span.Emphasis { font-style= :italic }span.FollowedHyperlink { text-decoration:underline; color:#954f72 = }span.Hyperlink { text-decoration:underline; color:#0000ff }span.Mencinsinr= esolver1 { color:#605e5c; background-color:#e1dfdd }span.Strong { font-weig= ht:bold }span.TextocomentarioCar { font-family:'Times New Roman'; font-size= :10pt }span.TextodegloboCar { font-family:'Segoe UI'; font-size:9pt }span.T= tulo1Car { font-family:Cambria; font-size:16pt; font-weight:bold }span.Ttul= o3Car { font-family:'Calibri Light'; font-size:12pt; color:#1f4d78 }span.Tt= ulo4Car { font-family:'Calibri Light'; font-style:italic; color:#2e74b5 }sp= an.UnresolvedMention { color:#605e5c; background-color:#e1dfdd }</style></h= ead><body><div class=3D"Section_1"><div style=3D"clear:both"><img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYA= BgAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFhwXExQaFRERGCEYG= h0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eHh4e= Hh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCARkAzMDASIAAhEBAxEB/8QAHQABAQA= CAwEBAQAAAAAAAAAAAAECBgMHCAQFCf/EAFQQAQABAwMABAgLAwkGBAMJAAABAgMEBQYRBxIhMR= MWF0FRVaHRCBUiU1RWYXGRkpMUMoEjN0J0dbGywfAzNDZScrMkYqLhGCbSJzVERWVzgpTC/8QAG= wEBAQADAQEBAAAAAAAAAAAAAAECAwQFBgf/xAA0EQEAAgIBAwQCAQIEBAcAAAAAAQIDEQQUIVIF= EhNRMUGRIjJCYXGhNDWBwRUzsdHh8PH/2gAMAwEAAhEDEQA/ANAlFlH6XD4qAAABAAF/QALAAKk= osoJIALAiohOv2C0U1VzEUU1VT6Ihy/suVx/u179OUm0RPeWUVmf04RyXLN21HN21coifPVTMOP= tWJiU1O/8AQSVSVRAAJRZQAE7RY/G/pUlUkVAAAASUWUUAECUWUIAAkEnuVJ7gQBQARUk+8laYm= qqKY75WEmf25sS14SvrTHyYfewtURboimP4s1hx5L7kAViAJKpKLKIAABISLCACAAyAAAAgAFSp= Ce8YyzjsAIyRjVLKeyGFXawvLZWESYXuOeWDZtDzLwRHagRHECyjKGOwBJWDhFJFROFDRtiKgDi= uzzLkrnilwyxtKxCANbLZKKSaXaLRHMo5bdPFPatY3KTPZnAcDb7YYOeUWUdMOeAAABAAF/QALA= ebl9ekabn6tn28HTsW5k5FyeKaKI5mXb+2/g9a/m40XtY1PH06qqnmm3RRN2qJ80Vd3Htcufl4c= H/mW034uPky/wBkOlJ728bT6Lt07k23la7gYvFizTNVqiuJirI47+pHnbTqPQ5q20tZw9V1CxGt= aJZuxVlRjzxc6npmmfN3ed6V2xm6Rn6LjX9ErtTheDiLdNuOIpjjumPNMPL5/q/srE4e/wDn/wB= ndxfT/dafk7PBmRZu496uxet1W7tEzTVTVHExPocb1P059EtjcNi5rugWqbWq0RzctRHFN+P8qn= l3Kx72LkV4+TartXrdU010VxxMTD0OFzqcum4/P7hycjjWwW1P4cTKxarv5Fuxbjmu5VFFMemZn= iGLYejTHoyt/aNYuRzRVlU8x93b/k68t/ZSbR9NNKxe8Q9PdE/RZoO2tCx8jPwMfN1S7biu7cvW= 4q8HMxz1aee7ju7H7eVuzo8xcivHvapotNy32TEV0TwdMuoZGl9G2sZOLXNFzwE0U1U9kx1uzs/= F4lqqqqqqrqmaqp7ZmfPL5Xg8O/Pm2S95h7fI5FeLqlavR/TbruydYp2zYwc3Tsm1Tq9urJptTT= P8nxMTzx5mu9PuP0c2tuYc7Zt4NGoTfnj9ljjmns563HZ93Lq7o8ppr3zotNVMVU1Z1qJiY55+V= D0h8JTSLeVs/BxMLFs0X7+dbt09WiI5mZ+x13rXh5sWPcz+f200tPJx3tqHlKmJq7IiZmfsZ12L= 8RMzZuRERzMzRPY9l6BtbanR1tGMi9gxeqtURN+94Dwly7V9kPwNW6U9l16bk0Rt7V4mbVUczpc= RHd97bHrFr21jx7hrn0+Kxu9tS8pU2L1VMVU2bkx6YplK7V2iOa7ddPPdzTMPaPRPY07yV6Nm3c= OxNMYfhKpqtRM8czLDaG9Nh7yzrumaXas3b1NuaqqLmNTHNPdLCfW7d9Y+0f5//DL/AMNrOo935= eLimmqvsppmZ9Edr0Dujop0zM6csXS8S1+z6Xk4/wC137dHZFPEzE0x6OeP73aevansDo7wMXEz= 8fEw7dcTFm3TZiqqYjzt2T1iuqxjr7pn9NdfT57++dRDxtp1m1RqGPOo2rlOJ4Wnw09Wf3ee3ud= 39NGP0Z2+j+ivb1rTadR8Nb6k41MRXx1Z554833v2OkLpF2NuXRsXSdFo5zLmfj1UxOPTTzTFcT= Pb9zYvhGYeJY6KK7trFs0VRetdtNuInulzZOXfJlxTes1nf423049aUtFZiXk6LF+YiYs3Jie75= EsLluujsroqpn0TD1JtDpU2Pa21puL8S6lkXcfFtWrtVrTqa4mqmmInt59MS3TbWp7S33g5lixo= tyi3biKbtGXhxamYnnjj2t2T1jJjmffi7R/m114FbxHts8SDb+mHbdjam/8AUNIxeYx6Zi5apn+= jRV2xH4NQeziyRkpF6/iXn5KTS01kAbGCSiyigAgSiyhAAEgk9ypPcCAKACKkvrwrXZ4SY7fM4L= NublyIh+jERTTFMR2QsNGW+uygLDnAFABJVJRZRAAAJCRYQAQAGQAAAECSrEllAAxlQEqnzJtlH= dJ70kGmW/XZEZJwEJ2rBCkEykosoy0gAiwEhIqAAAxrns4SVhx1zzLCYln3I1SyYDKYTgNEJUsE= xyKtuOZ5cpTHFPYNsRphsAFc8oso6Yc0AAACAAL+h9ejabl6vquPpuBaqu5ORXFFumnzzL5HcPw= UtNx8vfWTmXqaaq8TH/k4mPPVM9v8OHPy83wYrXj9Q3cbF8uSK/bu7on6PNN2RolETatXtUuUx+= 05MxzMz6KfRD8TpF6atB2vn16bhWZ1PMtzxci3XxRbn0TPpcvwjN45W19o0Y+n1VUZmoV+BiuP6= FPEzM+zj+LyRcrruV1V11TVXVPNUzPMzL530/gTzZnPnns9jlcnp4jHierOjXpq0fdefGkanjU6= dl3ey11qubd37O3z/Y/S1rR9Q2Nqt7ce2ceu/pN6rr6jptHbFP8AzXLceafPMfe8gW667V2m5bq= qprpnmmYniYn0u/OjTp0tYW3L2DuqK7+TjWv/AA92mOZvdnZTP2/a28z0ucU+/BG4/cMOPzYyf0= 5J7x+3fe3tYwNe0mzqem36b1i7HZMT3T54n0S6y6ceiezujHua3olqmzq9FPWropjiMiP/AKvt8= 7qHYPSlnaNv7I1HqU2tL1HI5yMSj923E900x5peuce9byLFF+zXFdq5TFVNUd0xPneblxZvTssX= rP5/+6dlMmPl0mr+fmVYvYuTcxsi3Vbu2qpprpqjiYmPS+/aGf8AFe6NNz5niLOTRVM+iOeJ9ju= L4U+y7Gn5ljdOn2abdGVV1MqIj+n5qv4xxH8HREvq+Nmry8EW+3hZsc8fLqf093bn0zH3bs3J0+= i7EWs/F/krnfEdanmmfbEvLWZ0Jb/sZVy1b0y3eopnimum7TxVHpff0Y9NerbU0+jStRxY1LCt/= wCynr8V249EemG/R8I/RvUWd9vbT73h4cHO4VprjjcS9O+TjciItedS6w0rYW5tpbu29ma5gxjW= b2pWrVFXXirmrrc8ex6B6bsqzhYWg5eRMRZtatZqrmfRzDp/pG6ZdO3Pd0KvH0rKs/Fmo0ZdcVz= T8uIiYmI4nv7XydMXS7ib32/Y0rB0u/jTTei5Vcu1RHHHdxxMtuTj8rk5KXyV1+dsaZsOCtorL0= 9r2oXtN0i5n4+Bfz5tUxV4Gz+/MfZHndW7r6VZv7a1KxXs7XbNNeNcpm5cszFNHNM9szx2Q0Lo/= wCnvO0bSbWm65p9eo02aYpov0VRFcxHpie/7372r/CG0fI03JsWdv5XhLlqqmjrzTFPMxxHPb3O= KnpmbHfU4/d/ntvtzKXr2tp2L0Y1TV0J6ZVxxE6ZVPsqdHfBU/nGvf1Wt+vtfpx0vSdjY+37uj5= dd61i1WZrpmnq8zz9vPndd9EO87WyN1fG2RiV5Nmq1Vbqpt1fKjnumOe/tdfH4WeuLNWa97fhz5= ORjnJjmJ7Q9OZeVZs9OGJj3JiK72lT1OZ9FVXZ7XX3wo9n7k1zVtK1DRtNzNRtW7VVuujHtzXNu= ZmJ7o808OvOkjpSva/vPTtx6JYvYF3BtU00TXMdaZiZntiJ7u1vui/CQtU4dFOraDcnIiOKqrFc= TTV9vbxw1Y+DyuPamWldzH6bb8nDmi2O06h1NpW0N06PrWnZ2q7e1PBxacy1TN2/jVUUxM1RxHM= w9LdP2PTl9HGPi1zxRezLFFX3TzDq3pF6ctN3Lt6nT8TSMq1doyrN+JuTHVnqVRVx2T9j5Ok7pp= w907Rt6Pg6Xk42RTet3PCV1RxHVie2OJ9PDflx8vk5Md701MTLXitgw1tWttu/MmnTNgbQpq0zR= Lt+1jUUW/A4dnm5X3RzPEfxmU2Hu+d03MumdC1HTP2aKJ5yrc09frc93Z5uPa6d2x8ImnH0izja= 3o16/kWrcUVXbNUTFziO/ieO1+pT8I/Q6e7QM6OfRNHvedf07kd4tTc/e3XXlYY1MW063+FDz5X= c3n6NY/wQ6vbb0tbrsbz3pf13GxruPbuWrdEUXOOYmmnjzNSfU8LHbHgrW35iHh8i0WyTMADraU= lFlFABAlFlCAAJBJ7lSe4EAUDvH0Ydrr19ae6EJn2xuX0Y1vwdHPnnvcoK4rTudgCwgAoAJKpKL= KIAABISLCACAAyAAASQglARkAAT3MO9lVPmYtdmysADDTZsANLsAZMfykoymEmBUASWUBISioAM= UnshxzPPazrnzMGNpbKpKLKMFCYAlU4Z2487HjmYcsRxHDKsJaRJVJZtYAMnPKLKOiHPAAAAgAC= nb5nb/RDpu6NjZGLvbM06uNDyObWRx+/TRPH8pNPojt9rVeheNqzvfFjdf+7cx4Hrf7Pwv9Hr/Z= z/AO72bNrGv4fgOpbrx66OIpiImmaeP7uHger8+ccxhmvafy9X0/ixePk33hpHSltDA6SdnW/2L= Ko8PTEX8K/TPNFU8d0/ZMT/AHPIevaRn6Hqt/TNTx6sfJsVdWuiqmf4T9sS9WZGPn9GedVk4Fm7= l7Sv3Ob+PRHWqwJn+nRH/J6Yj/J+H8IyjZWq7Isa3kZVqdQm3zpt6zMTXdjvimf/AC8+nu7XH6Z= y74LxjjvW3+zp5uCMse+e1oeX5+xFn+7vT3Pq9/TwphzYdqu/l2bVqmaq664ppiPPPL3jtLDvaf= tjTMLI/wBrYxbduuPtimIl58+Dl0Z5GZn2d2azjzbw7M84tq5Hbcq/5uPRD0v/ABfI+t8uuXJGO= v6e/wCm4LY6Te37dZfCZotVdFWZNyIni9bmn7+XkDzvSXwtNyWrek4W2bNyJu3qvD3qY81MT8nn= +MS82zHb2vV9DpanH3P7lw+pXic3Z2j0TdElzfehXtTp1mnD8Hem11Js9bns5555blPwbL31no/= /AK0//U2T4JX/AADmf1yf8MNY6VumDd+2996ho+nXcaMXHr4oiuzTM8fe4cnI5mXlXxYbfh1Vw8= emGt7w/I3R8HzXtOwLmVpWqWdRqt0zVNrwU0VT93bPLrbZ20NW3RuSdAwKKLeZTTXVVF2rqxHV7= 4eq+hDftzfW27uRmWqLefi3PB34o/dq57YmP4NM1HbmXp/wjKa9AyrWn3M/Tq8ia5tRVTE9sTHE= 9nmhcPqWfH78WWf6ojtKX4eK3tvT8S6R6Q9ia1sbIw7GszYmvLoqrt+Cr63ZTMRPP4tUl3X8JXT= NxV69t7D1DOp1TJv27lOPTasRRMfKp7OIjt8zm0b4O2tZWnWMjUNWxsW/cmmarMRNU0U89sTPHf= w9LD6jSuCt89o3LkvxLWyzXHH4dGt06POjbcG+MLKy9Hqxot41yLdfhbnVnmY5/udq/wDw3W/rH= Vx/+1Dn6Bdv7h0+dzaXo2uWcW3hanNmua8eK/CTTHET2x2dkNPI9VpOOZwWjcfbPDwrRePkjtLp= jH2ZmR0kWdk51+3ZyqsqnGuXaPlU0zMRPP297ZelzomubB0HF1SrWKM2L+TFjqRZ6nHyaqueeZ/= 5XYWz9gZ+rdM2rbk1HV7dd7StStzV1LfV8NVFFM93HERxMOyOl3Y0b+0HF0yrOnDixkxf60U888= U1U8f+pyZvVLVzY4i3bUbb6cKJx2nXf9PEvnlXb+3+hinVN86/tydZm3TpPg4i71O2vr0xV3fxb= TPwbaOJ43HVz5v5N6dvVeNWdTZyV4OWd6h57xrfh8i3ZierNdcUxPo5njl21vfoUu7b2Xc3F8e0= X4ot01zZ8BMc8xzxzy/B3/0a61sPV8G5mV2srDvX6YtZFrnjnrdlMxPbE8fwehOm/wDmTyv6tb/= wubl8+3yYvht2tLfg4se2/vjvDxyA9t5oACSiyigAgSiyhAAEgk9ypPcCAedRaKZqqiI879O1RF= uiKY/i4MK1MR16v4PpHNmv7p0gA1ACwACgAkqkosogAAEhIsIAIADIAAAFhOEZCKxJWWFUpMlYS= QGtugAF2ACAAsAApMJwoLEsSWXDE0uxJ7FmGFfoYz2IhhPbIvBw1y2IipJpEFWiOZNKtEedkvCN= kNciSqSskACK55RZR0Q0QAAAIAApzPPPa706COl6vTblnbe58ia8OrinGyqp7bU/8tXpp/u+10W= sfZ2OXlcSnJx+y7fx89sNvdV/QO5FjKx5oqii9Zu08T3TTVE/3vPPTL0M6jOTVqu1IuZON21VYM= 1TM25nv6nm4+x+Z0G9L1Wh02tvbku1XdN56tjIqnmbH2TP/L/c9MYeTYzMa3k416i9Zu0xVRXRP= MVR6Yl8laOR6Zl3/wDkvoKzi5mPbw5Z2Tuy/l041vQc6q7M8cdTzu4+inoJu2sm1qu8OpMUfKow= qJ57f/PP+T0LEdi9n3tvJ9az5ae2OzXi9Nx0t7p7uOxZtY9iizYopt2qKerTTTHERD8PfW6tM2l= oF/VNQuxE0UzFq3z8q5V5oh8nSFvrQtmafN/UsimciqmfA49M811/w9H2vJHSPvbVd7a1VnahXN= FmjssY9M/Itx93p+1r9P8ATb8q/ut2qz5XMphjUd5fm7u1/O3LuDK1jULnWu36+YjzU0+aI/g/H= 87Jj6X2dKVpSK1j8PnLWm07l6n+CX/wDmf1yf8ADDpXp/8A51tY/wCuHdPwTJjxCzI57f2yf7ob= pr3RlsvXNVu6nqekxfy70811+GrjmfuieHykcuvF5172jcPd+Cc/GrWJdb/BBxb9Giaxl12pizc= vU00VzH73EdvDbdTuUVfCL0q3FyrrRotyZp57IjrVe1tl/I2zsTbkUV1Y2mYGPTM0UcxHPn7I88= y6P6K90V7v+ELf1iYmmxVi3aLFM/0aIjs/zn+LRb3cm+TkRGo02dsFa497l2Zu/AsZvTRtSu/TF= U42Fk3qIn/m61Ef/wCpa58JreuubYxtMw9By7mDdyKpruX6OOZiPNHP3Mum3c1G1OlDZ+rXpn9m= ps36L/H/ACTVTH9/Etx3RtraXSdoWNcu36cqzRPXs5GPc7aee+OY/ulMesfxZMsbrr/vLK+7++l= J1L8P4N+4NZ3HsvIzNb1C7nX6cqqiLlzjmI4js7IOgz/79336Pjyv/NtnR9s7TNlaPXpml13q7N= dybkzcq5nmWpdBkx8e777f/wA8uf5tOa9L2yWpHaWdKzEUi35dbXNW1LB+FHkYWJm3rOPl6raoy= LdM/JuU9Snslv8A8KHW9W0LZmnZOkZ17Cu16hTRXVamImafB1zx+MQ6l3bqONpHwm7+pZdfUx8f= VLdy5PoiKKeZeiekLZ+j9Ie3sbDzcq5Tj0XYyLN2xVE8z1ZjmPNMcVS7uT7cd8GS0dtRtzYvdeu= SsT32899C+396b11fUdYx9yZGm0VTTRlZcU9au7VERxTx2ebjtdy6P0d7nwczHyb3SHqORVaqia= qZsRFNf2THL5uhmNE2trm4diY+ZzexMum5a8LMRXdpqtUTz9s8zMfwfp5nRnORrlWqRvPc1qJve= F8BRm1Rbjt56vHPc1crlzkyTqdV/XZswYorSNd5/fdwfCNx7dzo3u3q6ea7OZjTRPomb1ET7JY9= OH8yeV/Vrf8Ahc3wiKqZ6MMrif8A8Xi/9+hwdN8//Yplcdv/AIa3/hc/G3vHv7/9m3J/j/0eOgH= 3b5oABJRZRQAQJRZQgACQSe5UnuBHJj25uXIjzd7Dv/yfoYtrwdvt75VryW1DliIiOI7oJVJHJM= 7lABQBYABQASVSUWUQAACQkWEAEABkAAABAAjNKmMwsjCWUQx4RnwnCKxF4JFlAFIAEUAIUARYE= lUnuFSruYLMo1zLNJRlKIyYyLKTAhLOmOIY0U9va5GVYSZElUlkxRJUBA4EVzyiyjohogAAAQAB= f0ACweb7m47H6SN07RmLenZ03MXntx73yqOPs9EtOGrLix5a+28bhspe1J3E6d9WPhI51NiIv7Y= sV3I75py5iJ/9L8PcvT/uvUrNVrTMXG0umqOOtTVNyuPuniOHUE96OOvpXFpPu9rotzs1o1t9Wp= 6hm6nl15eflXMm/XPM13KuZfKDviIiNQ5ZmZnciedUlkj6MXPzsWiaMfLvWaZnmYormHN8c6t6x= yv1ZfCMJpWf0z99o7bc+TmZeTz+0ZN27/11zLDGv38a74WxdrtV8cdaieJ+3tcYyisa1EJuZ7v0= tOm9q+t4OLnZV25RcvUWpqqq5mmmqqInv7npWx0HbTs0xFrX9QtxzzEU5ER/m8s01VUVRXTVNNV= M8xMeaX2zrWs88fG2f6f94r97g5fEyZpj47+2HVx+RTHv3RuXsnR7W3ejjad+3c1jr2KJqvTXkX= utXVMx3R5/M8ga7uDMztwanqWLkX8ajNy7l/qU1zHHWqmYifu54fnZWfnZdMU5WZk36Y7Yi7dmr= j8ZfMw4Xp0ce02vO5llyeZ80RFY1EM7927euVXbtdVdyrtqqqnmZlzWdRz7PZZzcijiOIiLkx2f= i+ae5HoTSsxqY/Dk90w5pysqcicmci7N6e3r9aetP8XPTq+qU0xTTqGVxHdHhJfEE0rb8wVtaO0= S+rI1LUMi1Nu9mX7luZj5NVc8diZGoZ9+x4G9mX7lvs+TXXMw+ZJWMdYnel99vtAGTHt+gAElFl= FABAlFlCAAJBJ7lWmiquqKYjnkJnXdzYVrrV9ee6H3MbdEUW4ojzd7JXHktuRJVJGtABkALAAKA= CSqSiyiAAASEiwgAgAMgAAAIElWKSygAYaZwAGlRJUNLLEWYThdJAAml2AIoAkqMa57GUuOrv5S= ZZVhAGDMlFlEWBJjlWVMLEbSSI4UGetIJKpKiAAAA5pR906TqX0K7+B8Ual9Du/gx6rD5QxjBk8= ZfCPu+KNT+h3fwPijU/od38DqsPlB8GTxl8I+74o1P6Fd/A+KNT+hXfwTqsPlB8GTxl8I+74o1L= 6Hd/A+KNS+h3fwOqw+UL8GTxfCPu+KNT+hXfwPijU/od38DqsPlBGDJ9S+Efd8Uan9Cu/gfFGp/= Qrv4L1WHyhl8GT6fBKPvnSNT+hXfwPijUvoV38E6rD5Qk4Mn0+Aff8AFGpfQrv4HxPqf0K7+C9V= h8oIwZPp8CS/QnR9T+hXfwY/E+p/Qrv4J1WHyhfgyfT4R93xPqf0K7+B8T6n9Cu/gdVh8oPgyfT= 4R93xPqf0K7+B8T6n9Cu/gdVh8oPgyfUvhSX3/E+p/Qrv4JOj6pz/ALld/A6rD5QfBk+nwD7/AI= m1T6Fd/A+JtU+hXfwOqw+ULGDJ9PglH6E6Nqn0K7+CfE2qfQrv4HVYfKD4cn0+Aff8Tap9Cu/gf= E2qfQrv4L1WHygjDk+nwJL9D4m1T6Fd/BJ0bVPoV38E6rD5QvwZPp+ePv8AibVPoN78D4m1T6Fe= /A6rD5QfBk+nwD7/AIm1T6Fe/A+JtU+hXvwOqw+UHwZPp+fKP0Z0XVfoN78E+JdV+g3vwXqsPlB= 8OT6fnj9D4l1X6De/A+JdV+g3vwTqsPlB8OT6fnyj9H4l1X6De/BPiXVfoN78FjlYfKD4cn0/PH= 6HxLqv0G9+D79G2XurWa7lGl6Hl5dVuImvwdPPCTy8PlB8OT6l+A+3CtdWOvMds9zaLXRZ0gTcj= rbU1KI/6I97746NN9xHHivqHZ/5I96dZx/OGrLhy67VlqEjbp6NN+fVbUfyR708mm/fqtqP5I95= 1nH84/lz9Nm1/bLUkbd5M9+/VbUfyR7zyZ79+q2o/kj3nWcfzj+U6bN4y1Abd5M9+/VbUfyR7zy= Z79+q2o/kj3nWcfzj+V6bL4y1Ebd5M9+/VbUfyR7zyZ79+q2o/kj3r1vH84/k6bN4y1Ebd5M9+/= VbUfyR7zyZ79+q2o/kj3r1vH84/k6bN4y1Ebd5M9+/VbUfyR7zyZ79+q2o/kj3p1vH84/llHGy+= MtQlG3z0Z79+q2o/kj3nkz379VtR/JHvTrOP5x/KdNl8ZagNv8AJnv36raj+SPeeTPfv1W1H8ke= 86zj+cfyvTZfGWoDb/Jnv36raj+SPeeTPfv1W1H8ke86zj+cfydNl8ZaeNu8mW/vqrqP5I955Mt= /fVXUfyR7zrOP5x/J02XxlqI27yZb++quo/kj3nky399VdR/JHvOs4/nH8r0+XxlqI27yZb++qu= o/kj3nky399VdR/JHvOs4/nH8nT5fGWojbvJlv76q6j+SPeT0Z7+iP+FdR/JHvOt4/nCxx8vjLU= JRt3kz399VtR/JHvPJnv36raj+SPedZx/OGccfJ4y1CVhts9Ge/fqtqP5I96x0ab9+q2o/kj3p1= mDzg6fL4y1Ebd5NN+/VbUfyR7zyab9+q2o/kj3p1mDzhfgyeMtQ4G3+TTfv1W1H8ke9J6M9+/Vb= UfyR7zrMHnC/Bk8ZaiNu8me/fqtqP5I96eTPfv1W1H8ke86vB5wnwZPGWozCcNv8AJpv36q6j+S= Pevkz379VtR/JHvOsweUMunyeMtPG3T0Z79+q2o/kj3nk0359V9R/JHvOrwT/ihPgyeMtRG2+TT= fn1X1H8ke9KujbfdMcztfUOP+iPek8rB5QyjBk8ZajVLGe5tnk43z9WdQ/JHvTycb5+rOf+SPex= nk4fKGcYcn01MbX5ON8/VjUPyR7zycb5+rOofkj3p1OHyhl8N/qWqHDa/Jxvn6s6h+SPeeTjfP1= Z1D8ke86nD5QfDf6lqcR2s6extlPRpvyY58V9Q/JHvXyab8+q+o/kj3rHKwR/ihjOHJ9S1NJht3= k0359V9R/JHvPJrvz6r6h+SPevVYPKE+HJ9S1FJbfPRpvz6r6h+SPexno1359VtQ/JHvOqweUL8= OT6lqI23yab8+q2ofkj3r5NN+fVbUfyR7zqsHlC/Dk+mojbvJpvz6raj+SPeHVYfKE+HJ9NiAfA= 7l9Vo/13AG5NB/ruA3Jo/wBdx/ruA3If67j/AF3AbkP9dwBuTQAbkADcgAbk0AG5NABuTQAbk0A= G5A/13Abk0f67j/XcBuQ/13AG5AA3IAG5AA3IAG5AA3Izs2q71+3ZtUzVcuVRTRER2zMzxEPSnR= ptujbe3LViuiP2u9/KZFXf8qfNz6Ijzfe636Ddqxn5869mW5mxjzMWKZjsrr7uf4f3u8I557l7i= 8QnEehQTRxHoSIhQXRxHoOI9ACaTiDiFA1BxHoOI9ABo4g4j0AGjiPQcR6AF0cR6DiPQAaOI9Bx= HoANHEeg4j0AGjiPQcR6ADRxHoOI9ABo4j0HEegA0cR6HFc7Z47OHJXPEOINMeBeDg2aYzEJNLI= BjER6BlMJwbE4j0Jx9jINjEWYQ2aThOPsZBuTTHhJhlwG5GExw+TIudarqx3Q+q/V1aPtl8U0m5= GExEsZjtZzHCG5GCTDOYSYNymmHDOxb69fpiE877bFuKKOPPJuV0y47OE4Z8IbkYjKYRdyMZg/1= 3KcG5NMZhGfCSbkYi8BuTTysAwAAAAAAA83L93Y2bRh7jx6Lv8AscmJxrscdnFyOrz/AA55bx8U= 41didj0xa/aaaP23wkcfv9aeaef+mKQdV8T6DieeOHaVE4m6c7U9LomiLGnZNN/G7u2zbnqzH4T= z/BlmZGHk4V7eOPTbpqxLFzDimOOPCczFur8Oquh1XxPPHEo7Q06/jxp2JvXIi3cqt437LXTPHb= diY7fy9d8e6tIrxcG3pWl24v39ayf2q3TFUf7Oe2mO37eDQ68iJnujlz2LOPXj3672VNq7REdS3= 4OZ6/b3c+Zueh29R0/Z2RVo1mY1ejLqt5Xg45vW7cRHV447eOet3M5q1S9tzcV3WbFNvLnCsz1p= ppiuqPC2+Jq4nv8Av7TQ0KImY7p/AiJnuiXbs3KcW3pVrSZ1acKqxTM0YePbqs3KuPlRXVNcefm= O3h+Lk6j8VbW1jJ0e3OJ1tVot2pnqzXaiaa57JpmY83mk0OvJie7j+Dkx7dFd+ii/cmzbqniqvq= TV1Y+7zuyLcYubq+iZ+bRYrzb+l3LlE3eIpu36ZriiZ83PMUvz8XK3Xkajj0a1YuTjRlU9uRRHy= J7eyjnt4+40NGv0UUX7lFq54WimqYpr6vHWiO6eJ7mHE88cTy7FwLGVYytd1DHzMuxHxhVbmjBs= Rcv/AL09vbMcU/xfpahjWKN1eHs2qK9Sr0mL2NF+mmma73NUczHMx1uyPOg0DRdJtZ2kavmXa7t= FeDjxdoiOOKpmumnief8AqfnZtnHtVW4x8r9oiqiKqv5OaerV547e92BiX9yZGydxV65bvTRGPT= Fu5kU8XOfCUdkc9vH/ALOWzas1bhxaqbdivMo0mmrDou8dWq71OY7+znnjvUdZzE+iX6eLpFWdk= UWNMvxk3PAVXrkVUzR1OrTNVUdvfxES3PByNy5O2dxTrli7NujEnq3L9HFdM9aOynnzPv0fNy8b= WtNxsXIuWou6LVMUUzx1q4sT1f488cGh1VNNUTMcTzH2P29qadjah8ZftNMz4DEqu0cTxxVFUR/= m2bQbetRgZmq5WdqVvIuZXgrtOLj9fK5iIn5XMxxT2v0dUsUWtxapXTRVTXd0Smu5NVMRNVUzTz= MxTMxz90mh1Z9nasxMd8S2nZmkVWdc0vJ1bGt04mVE1Y03qo6lyqJmIifRHWjjtfv6de1/KydUx= 9zWqo0umzXNXhqYiiif6Pg//Y0Ot+J9EnE+iW9ajqeRiaHtnBpvTYxcm1P7VVR2TXR4SYmJ+zh+= tRf3PTvOzh4eNVVpETTFu3RTH7PNvj97nu59qDq4fq7vjjdOqRH0q5/il+UAAAAAAA/S21pGRrm= tY+m41MzXdq7Z7+rT55l+b/rsd8dCO140zSPjnKt8ZeXHyImOJot/+/8Ako3rQdMxtH0mxp2JRF= FqzTFMfbPnn75733ECgAAAAAAAAAAAAAAAAAAAAAAAADGvu4BKuKmCqDEWYQE4JhQGIsnAJwigI= i8HHAJwjIBiTxxzPmXhw36+I6sA4btXWr583mcfDI4BhNMMJpcvCA4pjhHLNLDqTM8QDPHtdavr= eaH1Jbp6tEQyBEleAGPAySYBjwksgGJMLMIBwADyoAxAAAAAAFpmaZiaZmJjumPM5f2rK8P4f9p= veF7vCdeet+Pe4QHJavXrM1VWrty3NUcVTTVMcx6CL16LM2Yu1xaqnrTRFU9WZ9PDjAcnhr3gPA= eFueC563U609Xn08Mv2rK69uv9pvda3HFFXXnmmPRHocIDms5eVZuVXLOTet11fvVU3JiZ++S5l= ZVybk3Mm9XNzsr61cz1vv8AS4QH0Wc7Ns2vBWczIt2/+Sm7MR+HLi8Ld8FNrwlfg5nmaOtPHPp4= YAOSq9eq6nWu1z4Pso5qn5Pn7PQ5b2fnXur4XNybnUnmnrXap4+7tfMA+izm5lmquqzl5Fuquea= 5ouTE1ffx3sasrJqu03asi9Vco/drmuZmPulwgPpvahn3qKqL2bk3KKo4mKrtUxMfxl9Wi5GFOo= UVaxdy6rMU9Wmuzc+Vb7OyY557vQ/MOI9EA2/I1nTsLQ87ExdUz9TysymLc1X6Zoot2+eZ4iZnm= eyGq05ORTcouU37sV0RxRVFc80x6InzOLzdoD6qNR1CiuuujOyqa6/3qou1RNX39va45ysqapqn= JvTM09SZmueZp9H3OEByVX79VFFFV65VTb/ciap4p+70OS/nZt+14K9mZFy3/wAtd2qY/CZfOA5= PC1V1W6b9dyu3RxEU9btinnt457m34Gp7ewsy1m2dY1eqzapiqnBqieJq9HW544/g0wnt88g+jU= cqvOz7+Zd4iu/cquVcemZ5fOAAAAAAOXFsXcnJt49miarlyqKaYj0yDauizbNW4tx25u0T+xY1U= XL0+aeO2Kf4vR9q3Rbt00UUxTTTHERHmhrvR7tyztvbtnEimP2iuOvfr89VU+7u/g2RkAAAAAAA= AAAAAAAAAAAAAAAAAAADGe9lKAw4JhlwnAMReAE4RkkggswgJwjIBiLwgJwKcAxqniOZfLXPWqm= XNfn+jDhBjMdiTDI7wYHDJJBjMOXHo/pSxopmqrjh9MRxHEAkwxlmcAwFmEBJgUBicLwAxOGSTA= JwHaA6N8lO7fmsX9WfceSndvzWL+rPuehQHnryU7t+axf1Z9x5Kd2/NYv6s+56FAeevJTu35rF/= Vn3Hkp3b81i/qz7noUB568lO7fmsX9WfceSndvzWL+rPuehQHnryU7t+axf1Z9x5Kd2/NYv6s+5= 6FAeevJTu35rF/Vn3Hkp3b81i/qz7noUB568lO7fmsX9WfceSndvzWL+rPuehQHnryU7t+axf1Z= 9x5Kd2/NYv6s+56FAeevJTu35rF/Vn3Hkp3b81i/qz7noUB568lO7fmsX9WfceSndvzWL+rPueh= QHnryU7t+axf1Z9x5Kd2/NYv6s+56FAeevJTu35rF/Vn3Hkp3b81i/qz7noUB568lO7fmsX9Wfc= eSndvzWL+rPuehQHnryU7t+axf1Z9x5Kd2/NYv6s+56FAeevJTu35rF/Vn3Hkp3b81i/qz7noUB= 568lO7fmsX9WfceSndvzWL+rPuehQHnryU7t+axf1Z9x5Kd2/NYv6s+56FAeevJTu35rF/Vn3Hk= p3b81i/qz7noUB568lO7fmsX9WfceSndvzWL+rPuehQHnryU7t+axP1Z9zbui/o6zNJ1irU9bot= TXZj/w9NNXWjremez/AFy7XAAAAAAAAAAAAAAAAAAAAAAAAAAAAJgEAAABOE4ZAm2EwcMuEFQnt= JhATgZJxyCBMcAJMMap6tMyzcF6etIOPnntThlx2IDGYYuROAYHDKYW3TM19oM7VHEc+eWfCgMV= XhAQmIAGMwjNJgGIswgJwKAx5F6oD9EAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAABJhQEFSYAADQigmkmEZIKxRlwcAiTCzCeYGFc8Q42VU9aWPAMZhO= JZAOOYGcwnAMXLRTxH2sbdPbzLlBjIySYBAA0nBwoIxF4BUSYUBjMIzlJgGIvAD7wAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEUBBZhJAAAThQR= OHHcnjsckzxHLhntnkVijKYAYpLKYSYBiccsuFojziLEcRxAoKgSAhMKAxFSQAATgUEYi8IKByA= +0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AADhFAQXhjV2QDC5PPYw44ZT2gMUmGXCAgpwCRTyqxCgxF4QAmABOBTjkECQE4OFAYi8cpIALEc= zx6QY8R6B9NNFMRETADMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAACeQGFfazlhIMeEZpMAxCYATgjvVlERwDEWYQAAEmEZAMReEASYUBBS= YBAASXLZo/pSwpjmeH0RHEcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAASCSAIkwjJA2jGYZ8IKwVZgkBOABJgZckxyDEJjgAOOQBJhG= STAILwgCcKyojmoGdmniOfSzAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAACUWUAAAADQnCgJwjJOwGMwcMphAYi8JIKnEACTHAy+9JgEC= QBJ4UBi5qKerDGiOZ5cgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAJwKcAgSgKAAAAkwoIxFOBWMwjKQGKnCAqTAAhHMyyWinieQZ= UxxHCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAcACcCpwAAAAAAGhJhQRiSpwKxRkAlMcy5OEpjiFAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAASYUB= BU4AAAAAAEQiO1VgIABQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABOFAYqqTAmwAUiFAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAACYIgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJl= OQZDTcLpM2dk6vf0mdXt2MyzfrsVW70dXmqmZieJ7uOYbZjZFnKtRdx71u7bnuqoqiqJ/jDO+O9= P7o010y0v/AGztzDHmXX24OmTY2iajd0/I1C9evWqppueAt9aKZjviZmYYNjsMdfbc6X9l67l3s= fGy8izNmzVfrrv2urTFMTET2xM+mG0bW3Poe58a7k6FqFrOtWa/B3KqInimrjnjtj0A/ZCE5BQh= AUfgbh3jtvb2o4+n6zq1nEycmmKrNuuJ5qiZ480el+7TXFdMVUzzTVETEgyAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARTg= HX3T3uDVttbCu6no2V+zZVN+3TTX1KauyaoieyYmGodBPSpru7tw3NC1i1j1zTjVXov0U9WqerN= McTEdn9J+58KL+a6/8A1i1/ih1J8Fb+c27/AGdd/wAVt7XHwY7cC2SY/qh4PJz5ac6tIns0Hf3H= jzr0/wD6lkf92p6R+CnXXc6NL3hK6qupqN2mnmeeI6lHZH2PN2/v+Otf/tLI/wC5U9H/AAT/AOb= TI/tK7/gtvR9ViOhpP+jg9JmeutH+rcOmHVL+i9Gutali3Krd61ZimiqmeJiaq6aeYn/+ToT4PP= R9o+9Y1PU9xU3sui1d6lNPhaqetXMRM1TMTzPe9B9KGj3NwbB1jSbMc3L2PzRHpmmYqiP49V5l6= H+kS70bZuo6fqmm3rtm7VHXtR8mu3cjsnv7+6Hyj613XrnRvsraO2dX1nS9F5vU4dVE03Mm7NNV= MzHMT8r7I7nXvRX0h6bs7ox1jVLWjWLN65qMWbGPbuVzFyvwcTzM1TM9kej0P38zpi0zem39a0X= H0vLxrk4FdyK7k08dlVMeaftdM4el5mZ0SZOdjW67trE1eJvdWJ+TTNqI59oO2dM6VOlfWKbGZp= 2yZvYV2qIpu2cS7VRMc9s88uDVemXfvjjqOg6PoWPmXcbJuWqLVuzXXXxTVMd0T9jrHbeNtKq3h= V5W59Vxsjr0zVZoxYmmmee6J6/c37oxroufCX1e5RV1qas3LmJ9Mc1doNt6OemrLztQ1LTd26dR= gX8PHuZEzRTVTNNNEc1RVE90vxLXTbvzXsrJ8Vdo05eParjtt2bl2umO3jrcTx2tMytNydW6XN2= YGHRNd+7h5cW6I/pT4OOx+l0JdKOkbB0nP0nXNLzq7tV6KqZsUUzVHfzFXWmOAcvSJuPUM/Xdp5= e7drWKNSuWvlUXvDWqqIi/VEfJiqPNHLd90746VdP3BlYWibLvZem2qopx71OHcriujqx29aO91= /0zbowd37s2lren2cizYvWIimm/ERV2X6o7omY83pfgby1HI1TpBzsfdOr5+BjW+yjwdE1dTiI6= sRTzHZ3g7p6KOlrV9d3fVtXc+k28HPqiqLcU01UVRVTEzNNUVfZEu5YeP+gyjDt9OWlUYGVcyse= JvdS7do6tVf8AJV9sxzL2BHcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEuq/hRfzXX/6xa/xQ6k+Ct/Obd/s67/jodt/Ci= /muv/1i1/ih1J8Fb+c27/Z13/HQ9/if8tu+b5n/ADGjQd/f8c69/aWR/wByp6P+Cf8AzaZH9pXf= 8Ft5w39/xzr39pZH/cqej/gn/wA2mR/aV3/Bbdnqv/A1/wCn/o5fSv8Aj7f9Xbs88ur90bj6IK9= Xv2danS7mbZq6l2ZojnrefmY45do+d4+03buFurp0ztF1Cq5Tj3sq7NU0TxPZ6Hyj653ltXWOiC= 9qVWPo1Wk28m/RNrqzHbXTPfT2z9kNptWNmbb40WmjTcGM+Yq/ZquOL0z8mOye/wBDzj06dGWHs= S3p+o6Pl3q8e7XNNcVz8qmuO2mYn8U3NuLH1m7sDP1HAjMyJx6Lc3Kr1VM82780dvHf+7zyD0dO= wtmzd8LO3sHrTPPMUcdr9DB27oOBqd7VMTTMWzmXpmbl6mn5U8zzP3Ort/8ATbj7d1inQtC0r40= y7VumLnbMUxVMfuRx2zP3PxNC6c9a1fXbehahtjGxaciiumuJuVxVEdWZ7pj7AdtaRRsq/ruZq2= l/F1zUrMT+03rU810c9k8+ju4/g/J0Sz0a73y8rIwcHTc+9ZmPDTTRxMTPp4+50bsDc9ehWN452= ibe8Nf61u3Vbi7XXzTVcriZ4+x+d0Hbz1nbOrZFnS9Cq1KnPvW6L0xTV/Ix1uOfkx9s9/oB6hp2= ZtaJxZjQ8P8A8J/u/wAn9z5XW7P4zMuDd+ibOjEyNb3DpeFVbxrfWu366OJimPTw6t1vpo3ng6x= nYdnYlV61j37lqi71L3y6aapiJ/d47eOWGT0oW9+dFW7sXIwbeBnY2F1qrcXY+XEz/RiZ608cdv= Z2cwDsfYWD0f6j1db2phYFVdiqaYvWonrUTMTE+f0ct2h0p8Ef/gnUP63/AJS7rAAAAAAAB82o5= uLp+LXl5t6izZoj5VdU9kA+ka7477W9c4/tPHfa3rnH9oNiGu+O+1vXOP7Tx32t65x/aDYhrvjv= tb1zj+08d9reucf2g2Ia7477W9c4/tPHfa3rnH9oNiGu+O+1vXOP7Tx32t65x/aDYhrvjvtb1zj= +08d9reucf2g2Ia7477W9c4/tPHfa3rnH9oNiGu+O+1vXOP7Tx32t65x/aDYhrvjvtb1zj+08d9= reucf2g2Ia7477W9c4/tPHfa3rnH9oNiGu+O+1vXOP7Tx32t65x/aDYhrvjvtb1zj+08d9reucf= 2g2Ia7477W9c4/tPHfa3rnH9oNiGu+O+1vXOP7Tx32t65x/aDYhrvjvtb1zj+08d9reucf2g2Ia= 7477W9c4/tPHfa3rnH9oNiGu+O+1vXOP7Tx32t65x/aDYhrvjvtb1zj+08d9reucf2g2Ia7477W= 9c4/tPHfa3rnH9oNiGu+O+1vXOP7Tx32t65x/aDYhrvjvtb1zj+08d9reucf2g2Ia7477W9c4/t= PHfa3rnH9oNiGu+O+1vXOP7Tx32t65x/aDYhrvjvtb1zj+08d9reucf2g2Ia7477W9c4/tPHfa3= rnH9oNiGu+O+1vXOP7Tx32t65x/aDYhrvjvtb1zj+08d9reucf2g2Ia7477W9c4/tPHfa3rnH9o= NiGu+O+1vXOP7Tx32t65x/aDYhrvjvtb1zj+08d9reucf2g2Ia7477W9c4/tPHfa3rnH9oNiGu+= O+1vXOP7Tx32t65x/aDYhrvjvtb1zj+08d9reucf2g2Ia7477W9c4/tPHfa3rnH9oNiGu+O+1vX= OP7Tx32t65x/aDYhrvjvtb1zj+08d9reucf2g2Ia7477W9c4/tAbEAAAAiokjqv4UX811/+sWv8= UOpfgq/znXf7Ou/4qHdnT9oep7h6P72n6TjVZOTN+3VFume2YiqJl1D0TbX3zsfdVWtXdrZOXRV= j12JooriJ+VNM8/+l7/EvWeBfHvu+e5mO0c6uTXZ1nv3/jrX/wC0sj/u1PRvwUKqfJtk08xz8ZX= JmOe3jqW2h6/sfTdU1TJ1DN2vu/TruVkV3q5sWfDx1qpmZ7IieI5l8+l6Dm7XyqsrbO7NQ0nwXy= q7WqYlyxbq+/rRFE/xdXKy4+Txoxb1MacnEx5ONyZy63E7eo4eQdJ3Fp+1enfO1rVIvTi2cq7FU= WaOtV293ZzDunafSfmWqaLW7sOzZsz2RquHXF3EmeezrV08xTM/bMQ/Qy+iPo51rKuavc0yrIry= 6vCzdozbvVr588cVccfc+by4bYp/qfTYc1csbh0t08dJmm77tafpmgY+VNi3XNdU3qIpqqrnsiI= iJn0y/N3lo1/QMnYGnZFE0XYx6btdM/0ZrvzXx/6norbvRTsTQs2jMwNDo8Nbnmiq9dru8T91Uz= D9DdWwtsbn1bE1XWcCu/l4cRFium/XR1YirrR2UzET2+lrbnm/aeo4OzOm7Jyt1Waos8VU9aq31= oiaopmmvt83e5Nf1rStf6ebep6NcpuYdy31aaop6vbFmeez720dOuo5N3dlzTL/AEeWNWsWLVNN= nL6l6m5VT28R16JjmO9rnRNsfV9V6RsXUbm2cjRNKsxNddFcXOrxNEx8mquZmeefSD9X4N9EXNb= 3rR1evM2I4jjz9et+f8Hfdeh7YzNZt6vfps3smqmmxTVTz1qo57Px4d8aJtLaGwqNT1vT8WcKm7= b6+ZduX6646sTM/wBKZ475aTGgdD+q2s7d0abct/sNVORemqu7Z6szPNE9TmI4mY7OxlXHe3esN= dstK9rS6gz9067r+7tUjUt2Ro9Fu9XFEV0fJ4iqY6scefiH421I4yt1xTk05MfE1/8AlaY4iv5d= vtd22MXoY3xq93KuabXbuTbm/fvzVcx7dMxHNUVTExHPHbMti0fo26McbUtR03B029F6vCinI5y= r001Wbs8xxVNXHb1PN3fxW2K9Z1aNJXPjtG6z2fifBH/4J1D+t/5S7q4ab0VYG1dO0nNsbUxL2N= i0Zdy1d69ddcVV0VTTMxNUzzHZ5m5R2wwmJie7ZExMdlgIBQAACQJ7ux0b047pnO1CNBxLnOPjz= ze4n96v0fw7fxdk9Je5qdtbduX6Jj9rvfIsU+fn0/w73mu9crvXa7tyqaq6561UzPbMpIwAQAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAewAGQA= AAAnBx2digMer297C5j2LkcXLVuuPPFVMS5QSYiXwRoulxeuXf2Gx17lHUrnqR20+jhho2i4WkU= 3Len012rNdXWiz1uaKJnv6seb0v0hfdKeyv0RHACMmFVqiqeaqaap+2FiiI7oj8GQDRumfS9c1j= aFen6NRduRduU05VuzMRcuWv6VMczEdseaZhpFvohzdf0y3GZqNWlWqevTbxpxKetRRMxxExFcx= z2eme53dMdvKw6cXLyYq6r2cmXh48tvdbu6b0ToOp029XXVujIv0VWqqJojGijrcxxHM9aeY80x= 547Hz2+gi5Tan/wCcMrwvE0xM43MRTPm/f8zuzt5Vsn1DkTO5t/tDCPTuPH4r/vL8LY+3adsbdx= 9IpzLmZNqZmq9XTxNczPMzw/diOAclrTaZtP5l2UpFIisfiABiyAAGF+7bsWq712qKaKKZqqme6= Ihm6v6dN0fsWnU6DiXOL+THN6Yntpo7+PvmeAdb9JO5bu49xXrsVTGJYqm3j0eiI75/jPLVwQAE= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHsA= BkAAAAAAAAAAAAAAJPesAwj8qAM0AAAAAAY3OyiqY80cvK+78zIzty5+Rk3JuXKr1XbPmjnuj7A= JH5IDEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAf/2Q=3D=3D" width=3D"819" height=3D"1124" alt=3D"Imagen que contiene I= nterfaz de usuario gr=C3=A1fica Descripci=C3=B3n generada autom=C3= =A1ticamente" style=3D"margin-top:-37.07pt; margin-left:-87.55pt; position:= absolute" /><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhE= UgAAAYEAAABcCAYAAACIjglhAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwA= AD1tJREFUeJzt3X+s1fV9x/HXt7MmLr1bs243cXF1Ja1b2IqLho2kcVlcDTGsMY0rswQnm4lRY9= u1iwWNij87sXa2DH/iDybaGaNlDYpaZ6uiYkuhprWCglh+CEIR0CvcKwjP/dH34X743O853+859= 8DlltcjIeee7+fn93vI93PO5/v9ft6SmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZkdOYClHGgg= tp8OLAN2AruAZ4GLgLuy8k3zAVcl9e4CzsrK3pu1PbdGf08DlgP9QB+wsEm+XuAW4FVgB/BkkvY= o8F70+fFO6s/KTANejvreB9YBM7M8rdqsU34dQ11e1Tczs5aAHuA/4qSyBBgT218FfgWcC0wCvg= NsAe7JylfmizSA14GerPyZwDbgjJr9fbXkZDgvy/N54I1I+yXwbWB8pP1vbJ8D3Bl/L2yn/qytE= 4C3gT3AZcDZwLsxiJxW1WbN8ueV9GlzneNlZlYJOCNOLN9Ltu0GbsnynQ/cnW2rzBeDwC/im/CC= kvZX1uzn14EngVOA6+NbM2l54KQYhPYCt2fle+PbNsBxwPjkV0pvnfpL+nRJ5OlrDHDxy4j4JVT= VZsvy8f4p4Bt1jpGZWduaDAIrgPXAFyrKVuaLQeAFYFYMGl/N0usOAhOz9z+Jfi9Ptj0b254rKT= 890j5ItjVcWqf+kjrPSep4PLa9FgPeKTXarCrfA7wTx20L8DxwXp3jZWZWS5NB4DMxNz4APA6c0= qRsZb7GIBB/PwFsBsYm6Suz/POBrcAJFf1uXM+YE+/HRz8ANsU3+a3ATZF+d6TtSerYF9vurqq/= RT+WJyfyDbF/F9Vts6L8jQy1J782Y2bWsbJBIEmbGd/0dwIPtKijab5sEOiJawOLk/RavwRK2tw= KvJG8vz45UZ4D3BF/74659gcb75MyjRPyg1X1t+jH+Bh00pP0zZFW2War8hqc4voS8DCwPcnT8l= eamVktrQaBJM+9Mc/+REVdQ/Klg4AGL9y+C9ygDgeBuMjaB0xOts2P/dibbHsntj2Q3I2UnpAb8= gveQ+pv0Zevxbf5C5OT+W5gcp02W5UvaWs8sCb9JWFmNixNpoPKvhkvjimWnnby5YNAbPtG3Lo5= sd1BIO5C2gpMz7bPTU6wE2Pb+nj/KHBF41u0Bn+VNFxSo/5lHGh37NtuYFlStj/Sv1vVZlX5Jvv= /5Ui/pSzdzOxDXahjfMmc/NZ4PaaDfAcoiuJSSS9I+lY7nQJ6Jd0g6baiKGbFHTcPAdMkPSWJRr= +yomsk3SepX9JRcU3iU5HWL2l+Vf1FUZxcHOhoSZ+V9GFJvxP79aik9VHvezXarCpf5mlJA5Lub= +fYmZmVAq6Lb5YvAONiW1/M3c+IOelrYgpnSVa2Mh8wO+54GZeV7QFWtXPPO/BDhtqVpP84ti2P= 6wIDcVdN4/mHhZF+K3B741dC3fpL+nNxTH/timmdi+K6yHbg76rarCof1zkG4jjNAiYAjwG31T1= mZmZNtXhi+ME4Aa2Ji5A74n71sVn5lvmAl7L689swPweszrb9T0zHjM+2z6Xc60meMcCP4hbL3c= Ar2XWDHuAHcdLdBTzSTv1NjuEcYGO0tzOe/v3XOm1WlQemxiD7fvxbDVxZ79M1MxsFGk/GmpmZm= ZmZmZmZmZmZmZmZmZmZmZlZVyQLkjUsytJ3Jmn31qjvtHiY6Z0O+tL1SGRmZtZCEh6SeKBpTJY+= LR68mgccV6O+BfHQ2AdVeVvU0bVIZGZmViGClwykcXiTtLHAj9usb34XBoFhRyIzMztStbWAXFE= UiyUtlfQ3+S8BSf8uqeXy0SUG2sxfpk/SzZIm5ZHIzMysy2Kxtb15xKomYRonxhRSf6xn8wowJU= mf24VfAu1EImvZnzbavRZYGdNiL8RaPm8D36yTbmY2qsXCZRuS91/O17SPxdDWAS/G2vfTY45+S= +OaQZcHgZaRyOr0p412d8W1iDWxuufno+3+WOiuZXqn+2tmdlgALo+T3BXx/smSlTxnRZ5JybbZ= sa0R67drg4AqIpHV6U+bbW/PoqJdkN6JVJVuZnY46CioTFEU10jaIOkf4+S/tyiKpVm2T8br7mT= bwng9trPuVvZrgaQ5ks7Ll6I+CP1J61FRFLdK2ivpYzXTzcxG3HAiiy2S9BeSrpZUFnO4EfXqzG= TbR+L1oN210yIS2cHoz1GNP4AzI+rXG22km5mNTkBvTHm81iL9rQjgfmVEv3oRWJvkeQTYB0zts= A+1I5HV6U+bbW+O6wnnxTMUL0f9vXXSzcxGvXjga3aL9LOAFXF3TH+EcmwEdn8ge6r33Lhz52c1= 2+4kElnT/mgwQPzP4u/xceF4LTChpP3NwE+BX8ezE7+Mb/t102vvq5mZdaAbkciA59Owk8n2zem= F33bTzczsMBa/BO4E/rMk7bS4C2lp2e2lVelmZjZKxQNnqVXtpJuZmZmZmZmZmZmZmZmZmZmZHX= 5iFczU3njg6g3g2i62c2M8YJXHKzis1QmX2WrfgMnAM8DGOvnb6FftOsr2YbR+HmbWZbEUQyN27= xxgDDAz1snfA5w/0n0cScMNlxkPpX0AvN393tXuw7BDfprZb7FkCek5ybbbY9tjI9Cf8cCjh7rd= ZvJwme32LwLjjNggoC6E/DSz0eWoGnmqHBOve7tQV20RWP4uSbsOZbsV9ofL7LB/3Qi3OVyHQx/= M7BDpeCnpWBlzbizNvEfSQ1n65Fg5c1csofD9WHW04f80+O2XSJsIPJ7NST+WXHu4Azg3khZL+n= TEOyaCxjwebe2Nxd9ubNH/r8UidD+N6a1t0dc7gC8Bb8bUyPLIvy/aeUaD0dUA3mzSRN6/B0v27= ZRYSG4A2C7pj5O0do5FY8G85cDOyPMT4Py0jnbDXuZ9AGYAv4jVV/87jvV76XFu9hkAXwd+HuVX= xT5f3+zzMbPDUDIddMCyCMCMLF9vbJ8ZUyKNKaN74qS/Lgkx2QPcq8GlpffPSccyzG8DU4CpMW+= envhWAS9q8ITVD1wHnBQn141DdmKw7Nro04ZYkvrUGBTeAx6KKGXfjjwz46Lp9mQQGBsDwZtJnX= Oz6aC0f4/k8+2xounrMWBOB3Y0poPaORbAccBGYHEskT0nTrKrszoqw16m+1DSh01RfhNwS7S1C= lhX9RnEMtrEwnppTAczGy2SQeCW+Oa9r3ECz/JdVzJYEN8gJ8aa/uM0eOI4Pyk7PznpnBEnrgVl= K4KmJ9lk24XRzkDV/HrEIngpeT8X2JO8702vgQDrG4NAvP9h3UGgZN8ax/K8JP2AawJ1jwVwU5x= 8yxazy69TVIXFzPchL/8rYGnyfhGwtc5nEANOHoHOzEZQp9NB+4qimC7pGUn/BFyQpX9c0sZiqA= lFUTwh6VVJF0fevyqK4rak7P456aIovi9phqQxkhYCS4CTmnUKeErSNRG9a3GzfInd2fu9koqk/= S016mhHOt9+YrwuapKuNo7Fn0gaKIpiQ0Wb6iDsZV5+T/Z+X3rMKj6DvKyZjbDhhJeUpHMlvS3p= iiy61yZJvcCUNHMSZH2+pFPj7/xEfICiKGYXRXGipLNjcMnDRjbqvkHS30qaWhTFFw/iBeP8mH2= 4w3r64vWfs+1NL9a3OBZvSfp9YFrNtg9K2MtD+BmYWZfUvjso7nY5Id4eD/QWRbEGuFrSbElPAP= dJeljSPEn/IulG4HhJz0m6pPGttyiK/wK+Atwj6fKsqWMlfSgGkI9L+pyk+yKwfZ+ko5O8eyV9D= LhY0ulxgj4x2vwzSUcDPUVR9GVtCBgr6aOSdgMnxMC1v+2iKL6b/MI5LsJC7pT0iZiO+fv4Vv5H= wI6iKD6alJ9aFMV9Wf/+MNu3ByRNlvSVmIJ6RdInJP0e0C/p+DaOxd2Spki6BvhdScslTZPUn+9= T5P90TEOtl3SVpM2SZmXHv7EPaR9eltTzm8PHGEm/jl8QxwCnSupt9hlI+lSU9d1HZqNRyRPDaf= ze+/PtwLSYc38f2Ap8K6vvO8CibNv3sjbuioucr8edLCuB05P8d8Zc+DLgM3GxdyCmSmZH2pNN9= mdt0s6m5C6lhjnZ+/vjWkdf/HsYeCr28eom4TLT/uX7NjEuBm+Ii6+rgafjou03OzgWF0TZ3XFX= zsNN2mwa9rJkH5Zl77cmf6/N0gdafQbRLo27m7r839PMzOpw2EszSw33moCNIjGNdYykP3DYSzO= zI4jDXpqZmZmZmZmZmZmZmZmZmZmZmZlZTcBS4Kxh1tGVGLZ1YvweTO3uR5fiB4/oPpvZESyCmO= wBfjDSfdERGh/3SNxnMztMxDryeyKKVO2nTw9mXOAjMT7ukbjPZtY9HS0bESf9kyUtiJUhL6tZr= hF3t9na9cN1JK5QeSTus5l1SadrB10m6TVJ18aa8WVRv4bElJW0ukbc3bJYueM6iPHbWCphWdTz= PvBKHuOgnTLN4uQ2iQd8ZqzQORBhIa/M2uhK7F4zs0MulixuxLf9UZyML8jylMaUbRV3t0Ws3Ov= bjfEbsYvXxYl1UizbvA3Y0mz6qqpMi30qix+8KpZ9nghcFUs8E4NKN2P3zvV0kJkdMsC/ASuS9+= fEt/Qh4RzLYspWxN1tGitXbcb4jRjIAJOS9NmxbU6T+ivLNIuTWxKL9900XkLs9zMt8ncUu9eDg= JkNRyfTQV+U9OeNpSgjilgh6eSS+L91Ysqmc9qtYuW265PxmoavXBivxw6jTLN9yufmn5M0Hjg7= wj72xjLOzfIPJ3avmVlH2hoEgImS/lTSX6fR4yXdFCe4rw6zP3Vi5daN8bs+Xs9Mtn0kXld2sUw= zN0t6V9Kt8W+dpJlt1iE5dq+ZHQ5ijnxlhCzsydJOitCDfcAlMbd+EvAm8FKWd2VMjVwc0y+PxH= TSlCizLaZ9LgQmALcBNyVlN8T1getjCgVghwbn5vcBU4HemMN/B7gy5tlfBNa22MeWZZrtU9Z24= yLyz4F5LdpK93tctPsaMCaO3xJgF3AqMC8uCM8Azo/j0Bf59u9zZ5+smVkNcWJsyGMDb+JA9zeL= KVsj7u6QWLlJ2XZj/J4FrIi6+uOuo4kV+9m0TIt9KtuPZxlqG3BpSf5OY/e+ldVzbtc/eDMza09= 8m386wjk2to2LW0yfH9nemZkNOmqkO/Bbapakv5T02d9cO9daSRMk/YOkw2KZDTMzO0jigbclwA= 7gg5jbXwFcMtJ9MzMzMzMzMzMzMzMzMzMzMzMzMzMzMzMzMzMzMzMzMzMzMzMzM7PR6/8Byd7pM= vPUwqoAAAAASUVORK5CYII=3D" width=3D"385" height=3D"92" alt=3D"" style=3D"ma= rgin-top:-24.2pt; margin-left:247.2pt; position:absolute" /> = </div>La gesti=C3=B3n educativa digital = como estrategia para fortalecer la innovaci=C3=B3n pedag=C3=B3gica en la Es= cuela Sixto Dur=C3=A1n Ball=C3=A9n<img sr= c=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAkQAAAACCAYAAAC5fsMCAAAA= BHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAAC1JREFUWIXtzjENACAMADCmB0m= 7UcWNJPQwGZDQKmjk3KcBAHxojR63DwAATyi2JwQCXrA5hwAAAABJRU5ErkJggg=3D=3D" widt= h=3D"580" height=3D"2" alt=3D"" style=3D"margin-top:18.93pt; margin-left:-5= .2pt; position:absolute" /> Digital educational management as a = strategy to strengthen pedagogical innovation at the Sixto Dur=C3=A1n Ball= =C3=A9n School <table style=3D"width:426.2pt; margin-bottom:0pt; padd= ing:0pt; border-collapse:collapse"><tr style=3D"height:3.5pt"><td style=3D"= width:5.1pt; border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-alig= n:top">1</td><td style= =3D"width:185.3pt; border:0.75pt solid #000000; padding:0pt 5.03pt; vertica= l-align:top">Rosa Alexandra Elizalde Panta= </td><td style=3D"width:12.05pt; border:0.75pt solid #000000; padding:0pt 5= .03pt; vertical-align:top"><img src=3D"data:image/= png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhk= iAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAA2pJREFUOI2tlEtoXVUUhr+197n3nNzbJN6omdTWRmw= bikVq4iMxk0ZU2oGgA1FnQcQiUhUnFqo4cGIRQUGd+KDY+Jp25ouiGCOxElqjhba0URPzsPQmuY= 9zzj1nLwcnuU1qQif+mzXZe69/rX/tny2sgy9+7mknn99qrL1TVHcnqu3GyoKxTEhDxpIwuPho7= 9cL6+XKGqKJXXlJS/flCvJUGmu/c9opRpp31KkakXmxjLpE3p/+Y+bLg/vPRRsSfj7e/6JftIfr= 1cZ16v5znCVIFsW2XLleTd648Z/863v3nkjWEL59dp/fWSsfzOXNkShKacvfgnMRlXhqXdIVYt8= 3SRS5Q4tp/NbTvScbAAbghkp5nx/Yl+PQoamj96YX6O58HAX0qtWUrxDF6rUUvddaJfdws9DwqY= FSa0GO1SrpfucUVUXEZEk4UheywqMoqgmebcFIHlBEICjYnzR0Dz1y+8icl3Pp9jCUAdUsy9Ggb= +srLEVTnJk9xv07j2JNjlQboEqtMcfk5a/4a+H7rIoTVNkZJu5u4LiHYVCQthVC1FH0N5O6GETo= KHQzPv0O04sjWPHpKHRzx+bnaA+2MTFzFMTSiF17LvB6gOOeIj1mzdwF1RTFNWXX4jkWw0mMeMx= XT1GN/+aemw8zeflbKvEUIiLWsAPAqFJaNetrImeLzCyNoepoD7qaHlBoAzAC1Q2csSEEg4htqs= j2qGeEIr9dm0JR3PKrR2zreIDURZTrZ7NTBYdeBPAU+cY59zxCkElXjHiI2GY3pZbtRMkC1gZcX= 9hFV+lBTs98SDWexYjFGqkldT0J4EkY/ZovBb+klbQ/M65hMfqTWjwLCpeqE2wpDbKlNIjThEvV= Cb678BLl+jmMeNlcA3u+EiZjAKKKfDbe94zfYt4May4P4DRBEEQsTpMrwtXhtIE1PkZygFJss66= 64A490TNyZHmGaIg/7BI+DVoymaslG7HNsCZPzhaXO1PyviGqu+F6Xd5bKWoAhvacKC/N5w6kif= soKFh0jY1kVVxBodU6l/JJXE2ffXLgh6XVt5v44My9ra0NDrRsskNhLe3SVIPsmbLfBUBEIr9gL= 0T19ONKXH13aM94+erya/CqYm473bdDjb3LevSLcGua6iYRqtbI+SRmNCH58bHdo79f227/A/4F= 4WeWL1XZmjwAAAAASUVORK5CYII=3D" width=3D"20" height=3D"20" alt=3D"" style= =3D"margin-top:0.45pt; margin-left:-0.3pt; position:absolute" /><spa= n style=3D"font-family:'Times New Roman'"> </td><td style= =3D"width:179.45pt; border:0.75pt solid #000000; padding:0pt 5.03pt; vertic= al-align:top"><a href=3D"https://orcid.org/0009-0009-3301-332X" style=3D"text-= decoration:none">https://orcid.org/0009-0009-3301-332X</a></p= ></td><td style=3D"border-bottom:0.75pt solid #000000; padding:0pt; vertica= l-align:top"></td></tr><tr style=3D"height:17.05pt"><td style=3D"width:5.1p= t; border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top"> </td= ><td colspan=3D"4" style=3D"width:398.75pt; border:0.75pt solid #000000; pa= dding:0pt 5.03pt; vertical-align:top">Universidad Bolivariana del Ecuador (UBE), Dur=C3=A1n= , Ecuador.Maestr=C3=ADa en= Gesti=C3=B3n Educativa <a href=3D"mailto:raelizaldep@ube.edu.ec" s= tyle=3D"text-decoration:none">raelizaldep@ube.edu.ec</a><span= style=3D"font-family:'Times New Roman'; font-size:10pt"> </td><= /tr><tr style=3D"height:20.5pt"><td style=3D"width:5.1pt; border:0.75pt sol= id #000000; padding:0pt 5.03pt; vertical-align:top">2</td><td style=3D"width:185.3pt; border:0.75p= t solid #000000; padding:0pt 5.03pt; vertical-align:top">Segundo Daniel Land=C3=A1zuri Ram=C3=ADrez</td><td style=3D"= width:12.05pt; border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-al= ign:top"><img src=3D"data:image/png;base64,iVBORw0= KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxA= AADsQBlSsOGwAAA2pJREFUOI2tlEtoXVUUhr+197n3nNzbJN6omdTWRmwbikVq4iMxk0ZU2oGgA= 1FnQcQiUhUnFqo4cGIRQUGd+KDY+Jp25ouiGCOxElqjhba0URPzsPQmuY9zzj1nLwcnuU1qQif+= mzXZe69/rX/tny2sgy9+7mknn99qrL1TVHcnqu3GyoKxTEhDxpIwuPho79cL6+XKGqKJXXlJS/f= lCvJUGmu/c9opRpp31KkakXmxjLpE3p/+Y+bLg/vPRRsSfj7e/6JftIfr1cZ16v5znCVIFsW2XL= leTd648Z/863v3nkjWEL59dp/fWSsfzOXNkShKacvfgnMRlXhqXdIVYt83SRS5Q4tp/NbTvScbA= Abghkp5nx/Yl+PQoamj96YX6O58HAX0qtWUrxDF6rUUvddaJfdws9DwqYFSa0GO1SrpfucUVUXE= ZEk4UheywqMoqgmebcFIHlBEICjYnzR0Dz1y+8icl3Pp9jCUAdUsy9Ggb+srLEVTnJk9xv07j2J= NjlQboEqtMcfk5a/4a+H7rIoTVNkZJu5u4LiHYVCQthVC1FH0N5O6GEToKHQzPv0O04sjWPHpKH= Rzx+bnaA+2MTFzFMTSiF17LvB6gOOeIj1mzdwF1RTFNWXX4jkWw0mMeMxXT1GN/+aemw8zeflbK= vEUIiLWsAPAqFJaNetrImeLzCyNoepoD7qaHlBoAzAC1Q2csSEEg4htqsj2qGeEIr9dm0JR3PKr= R2zreIDURZTrZ7NTBYdeBPAU+cY59zxCkElXjHiI2GY3pZbtRMkC1gZcX9hFV+lBTs98SDWexYj= FGqkldT0J4EkY/ZovBb+klbQ/M65hMfqTWjwLCpeqE2wpDbKlNIjThEvVCb678BLl+jmMeNlcA3= u+EiZjAKKKfDbe94zfYt4May4P4DRBEEQsTpMrwtXhtIE1PkZygFJss6664A490TNyZHmGaIg/7= BI+DVoymaslG7HNsCZPzhaXO1PyviGqu+F6Xd5bKWoAhvacKC/N5w6kifsoKFh0jY1kVVxBodU6= l/JJXE2ffXLgh6XVt5v44My9ra0NDrRsskNhLe3SVIPsmbLfBUBEIr9gL0T19ONKXH13aM94+er= ya/CqYm473bdDjb3LevSLcGua6iYRqtbI+SRmNCH58bHdo79f227/A/4F4WeWL1XZmjwAAAAASU= VORK5CYII=3D" width=3D"20" height=3D"20" alt=3D"" style=3D"margin-top:0.45p= t; margin-left:-0.3pt; position:absolute" /> </td><td style=3D"width:179.45pt; bo= rder:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top"><a href=3D"= https://orcid.org/0009-0001-5773-5257" style=3D"text-decoration:none"><span= class=3D"Hyperlink" style=3D"font-family:'Times New Roman'; font-size:10pt= ">https://orcid.org/0009-0001-5773-5257</a> </td><td style=3D"border-t= op:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt; v= ertical-align:top"></td></tr><tr style=3D"height:23.8pt"><td style=3D"width= :5.1pt; border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top= "> </p= ></td><td colspan=3D"4" style=3D"width:398.75pt; border:0.75pt solid #00000= 0; padding:0pt 5.03pt; vertical-align:top">Universidad Bolivariana del Ecuador (UBE), Dur= =C3=A1n, Ecuador.Maestr=C3= =ADa en Gesti=C3=B3n Educativa <a href=3D"mailto:sdlandazurir@ube.e= du.ec" style=3D"text-decoration:none">sdlandazurir@ube.edu.ec= </a> <= /p></td></tr><tr style=3D"height:3.5pt"><td style=3D"width:5.1pt; border:0.= 75pt solid #000000; padding:0pt 5.03pt; vertical-align:top"><spa= n style=3D"font-family:'Times New Roman'; font-size:6.67pt; font-weight:bol= d; vertical-align:super">3</td><td style=3D"width:185.3pt; borde= r:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top">Lilian Susana Molina Benavides</td><td style=3D"width= :12.05pt; border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:t= op"><img src=3D"data:image/png;base64,iVBORw0KGgoA= AAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQ= BlSsOGwAAA2pJREFUOI2tlEtoXVUUhr+197n3nNzbJN6omdTWRmwbikVq4iMxk0ZU2oGgA1FnQc= QiUhUnFqo4cGIRQUGd+KDY+Jp25ouiGCOxElqjhba0URPzsPQmuY9zzj1nLwcnuU1qQif+mzXZe= 69/rX/tny2sgy9+7mknn99qrL1TVHcnqu3GyoKxTEhDxpIwuPho79cL6+XKGqKJXXlJS/flCvJU= Gmu/c9opRpp31KkakXmxjLpE3p/+Y+bLg/vPRRsSfj7e/6JftIfr1cZ16v5znCVIFsW2XLleTd6= 48Z/863v3nkjWEL59dp/fWSsfzOXNkShKacvfgnMRlXhqXdIVYt83SRS5Q4tp/NbTvScbAAbghk= p5nx/Yl+PQoamj96YX6O58HAX0qtWUrxDF6rUUvddaJfdws9DwqYFSa0GO1SrpfucUVUXEZEk4U= heywqMoqgmebcFIHlBEICjYnzR0Dz1y+8icl3Pp9jCUAdUsy9Ggb+srLEVTnJk9xv07j2JNjlQb= oEqtMcfk5a/4a+H7rIoTVNkZJu5u4LiHYVCQthVC1FH0N5O6GEToKHQzPv0O04sjWPHpKHRzx+b= naA+2MTFzFMTSiF17LvB6gOOeIj1mzdwF1RTFNWXX4jkWw0mMeMxXT1GN/+aemw8zeflbKvEUIi= LWsAPAqFJaNetrImeLzCyNoepoD7qaHlBoAzAC1Q2csSEEg4htqsj2qGeEIr9dm0JR3PKrR2zre= IDURZTrZ7NTBYdeBPAU+cY59zxCkElXjHiI2GY3pZbtRMkC1gZcX9hFV+lBTs98SDWexYjFGqkl= dT0J4EkY/ZovBb+klbQ/M65hMfqTWjwLCpeqE2wpDbKlNIjThEvVCb678BLl+jmMeNlcA3u+EiZ= jAKKKfDbe94zfYt4May4P4DRBEEQsTpMrwtXhtIE1PkZygFJss6664A490TNyZHmGaIg/7BI+DV= oymaslG7HNsCZPzhaXO1PyviGqu+F6Xd5bKWoAhvacKC/N5w6kifsoKFh0jY1kVVxBodU6l/JJX= E2ffXLgh6XVt5v44My9ra0NDrRsskNhLe3SVIPsmbLfBUBEIr9gL0T19ONKXH13aM94+erya/Cq= Ym473bdDjb3LevSLcGua6iYRqtbI+SRmNCH58bHdo79f227/A/4F4WeWL1XZmjwAAAAASUVORK5= CYII=3D" width=3D"20" height=3D"20" alt=3D"" style=3D"margin-top:0.45pt; ma= rgin-left:-0.3pt; position:absolute" /> </td><td style=3D"width:179.45pt; border:= 0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top"><a href=3D"https= ://orcid.org/0000-0001-7849-9444" style=3D"text-decoration:none">htt= ps://orcid.org/0000-0001-7849-9444</a> </td><td style=3D"border-top:0.= 75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt; vertic= al-align:top"></td></tr><tr style=3D"height:9.05pt"><td style=3D"width:5.1p= t; border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top"> </td= ><td colspan=3D"4" style=3D"width:398.75pt; border:0.75pt solid #000000; pa= dding:0pt 5.03pt; vertical-align:top">Universidad Bolivariana del Ecuador (UBE), Dur=C3=A1n= , Ecuador.<a href=3D"mailto:ismolinab@ube.edu.ec" style=3D"text-dec= oration:none">ismolinab@ube.edu.ec</a> </td></tr><tr styl= e=3D"height:3.5pt"><td style=3D"width:5.1pt; border:0.75pt solid #000000; p= adding:0pt 5.03pt; vertical-align:top">4</td><td style=3D"width:185.3pt; border:0.75pt solid #00000= 0; padding:0pt 5.03pt; vertical-align:top">Esther Car= l=C3=ADn Ch=C3=A1vez</td><td style=3D"width:12.05pt; border:0.75= pt solid #000000; padding:0pt 5.03pt; vertical-align:top"><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUC= AYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAA2pJREFUOI2t= lEtoXVUUhr+197n3nNzbJN6omdTWRmwbikVq4iMxk0ZU2oGgA1FnQcQiUhUnFqo4cGIRQUGd+KD= Y+Jp25ouiGCOxElqjhba0URPzsPQmuY9zzj1nLwcnuU1qQif+mzXZe69/rX/tny2sgy9+7mknn9= 9qrL1TVHcnqu3GyoKxTEhDxpIwuPho79cL6+XKGqKJXXlJS/flCvJUGmu/c9opRpp31KkakXmxj= LpE3p/+Y+bLg/vPRRsSfj7e/6JftIfr1cZ16v5znCVIFsW2XLleTd648Z/863v3nkjWEL59dp/f= WSsfzOXNkShKacvfgnMRlXhqXdIVYt83SRS5Q4tp/NbTvScbAAbghkp5nx/Yl+PQoamj96YX6O5= 8HAX0qtWUrxDF6rUUvddaJfdws9DwqYFSa0GO1SrpfucUVUXEZEk4UheywqMoqgmebcFIHlBEIC= jYnzR0Dz1y+8icl3Pp9jCUAdUsy9Ggb+srLEVTnJk9xv07j2JNjlQboEqtMcfk5a/4a+H7rIoTV= NkZJu5u4LiHYVCQthVC1FH0N5O6GEToKHQzPv0O04sjWPHpKHRzx+bnaA+2MTFzFMTSiF17LvB6= gOOeIj1mzdwF1RTFNWXX4jkWw0mMeMxXT1GN/+aemw8zeflbKvEUIiLWsAPAqFJaNetrImeLzCy= NoepoD7qaHlBoAzAC1Q2csSEEg4htqsj2qGeEIr9dm0JR3PKrR2zreIDURZTrZ7NTBYdeBPAU+c= Y59zxCkElXjHiI2GY3pZbtRMkC1gZcX9hFV+lBTs98SDWexYjFGqkldT0J4EkY/ZovBb+klbQ/M= 65hMfqTWjwLCpeqE2wpDbKlNIjThEvVCb678BLl+jmMeNlcA3u+EiZjAKKKfDbe94zfYt4May4P= 4DRBEEQsTpMrwtXhtIE1PkZygFJss6664A490TNyZHmGaIg/7BI+DVoymaslG7HNsCZPzhaXO1P= yviGqu+F6Xd5bKWoAhvacKC/N5w6kifsoKFh0jY1kVVxBodU6l/JJXE2ffXLgh6XVt5v44My9ra= 0NDrRsskNhLe3SVIPsmbLfBUBEIr9gL0T19ONKXH13aM94+erya/CqYm473bdDjb3LevSLcGua6= iYRqtbI+SRmNCH58bHdo79f227/A/4F4WeWL1XZmjwAAAAASUVORK5CYII=3D" width=3D"20"= height=3D"20" alt=3D"" style=3D"margin-top:0.45pt; margin-left:-0.3pt; pos= ition:absolute" /> = 0;</td><td style=3D"width:179.45pt; border:0.75pt solid #000000;= padding:0pt 5.03pt; vertical-align:top"><a href=3D"https:= //orcid.org/0000-0002-5262-1533" style=3D"text-decoration:none">http= s://orcid.org/0000-0002-5262-1533</a> </td><td= style=3D"border-top:0.75pt solid #000000; border-bottom:0.75pt solid #0000= 00; padding:0pt; vertical-align:top"></td></tr><tr style=3D"height:3.5pt"><= td style=3D"width:5.1pt; border:0.75pt solid #000000; padding:0pt 5.03pt; v= ertical-align:top"> </td><td colspan=3D"4" style=3D"width:398.75pt; border:0.= 75pt solid #000000; padding:0pt 5.03pt; vertical-align:top"><s= pan style=3D"font-family:'Times New Roman'">Universidad Bolivariana del Ecu= ador (UBE), Dur=C3=A1n, Ecuador.<a href=3D"mailto:elcarlinc@ube.edu= .ec" style=3D"text-decoration:none">elcarlinc@ube.edu.ec</a><= span style=3D"font-family:'Times New Roman'; font-size:10pt"> <= /span></td></tr><tr style=3D"height:0pt"><td style=3D"width:15.9pt"></t= d><td style=3D"width:196.1pt"></td><td style=3D"width:22.85pt"></td><td sty= le=3D"width:190.25pt"></td><td style=3D"width:0.35pt"></td></tr></table> <table style=3D"width:4= 36.35pt; margin-bottom:0pt; padding:0pt; border-collapse:collapse"><tr><td = colspan=3D"7" style=3D"width:161.75pt; padding:0pt 5.4pt; vertical-align:to= p">&= #xa0;&#x= a0;</td><td colspan=3D"3" style=3D"width:253pt; border-top:0.75p= t solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; ver= tical-align:top">Art=C3=ADculo de Investigaci=C3=B3n Cient=C3=ADfica y Tecno= l=C3=B3gicaEnviado: Revisado: Aceptado: Publicado:DOI: </td></tr><tr style=3D"= height:3.5pt"><td colspan=3D"7" style=3D"width:161.75pt; padding:0pt 5.4pt;= vertical-align:top">&= #xa0;</td><td colspan=3D"3" style=3D"width:253pt; border-top:0.7= 5pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; v= ertical-align:top"> </td></tr><tr><td style=3D"width:50.5p= t; border-top:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">= <p= style=3D"margin-bottom:0pt; text-align:justify; line-height:normal; font-s= ize:12pt">C=C3=ADtese: </span= ></td><td style=3D"width:4.35pt; border-top:0.75pt solid #000000; paddi= ng:0pt 5.4pt; vertical-align:top"> </td><td colspan=3D"6" = style=3D"width:343.3pt; border-top:0.75pt solid #000000; padding:0pt 5.4pt;= vertical-align:top"> </td><td style=3D"border-top:0.75pt = solid #000000; padding:0pt; vertical-align:top"></td><td style=3D"border-to= p:0.75pt solid #000000; padding:0pt; vertical-align:top"></td></tr><tr><td = style=3D"width:50.5pt; padding:0pt 5.4pt; vertical-align:top"><s= pan style=3D"height:0pt; text-align:left; display:block; position:absolute;= z-index:5"><img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/= 2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQE= BAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAAzACsDASIAAhEBAxEB/8QAGwAAAgIDAQAAA= AAAAAAAAAAAAAoBCQYHCAX/xAAtEAABBAIBAwIEBwEBAAAAAAADAQIEBQYHCAAREgkhEzFBUQoU= FSJhgaGR0f/EABcBAQEBAQAAAAAAAAAAAAAAAAcABgP/xAAlEQACAwABBAICAwEAAAAAAAACAwE= EBQYABxESExQhIggjMWH/2gAMAwEAAhEDEQA/AH+OjoVURO6+yJ1rraG1te6dwq72Ds3LKbC8Nx= +Msq2v72U2LDjjRWsYISIj5EybJK9kaFXwwyJ06WUUSJHPJKMT+iktsNWhCmPe4xWlKgJjWsOYE= FrWEEZmRTAiIjJTMxERMz1zc5NdTHvatKVATGtaYrWtYR5IzM5gREY/JEUxER/s9bE8m/dPf+U6= jzZ37ebe/wBvJPqvZPr9+qUKv13+EVtnKYgr9o09MeYsGLsm7w2MDCHueqMBMkx4N7YZrCrDEVq= LKPh7Tx2K48uLHCx5G1PZ96nPNTjlzXuM72saJfa3u2wkr9b4/bvstUZNqaYd8igybWN8xv5SdL= lwCLMiZcMayZk1TV11FEwDqyEn4vZznOvYtU3Zh415eYejRqbEHSdrSBAM1M+DDwywMFEtEvWET= IQ70g4Lo02e7nDclNayq/GtWZfGjdsZfrZXmQQ+fsXfEwQKmfwuRgpbMH8UHK5jpxJFRfdF7p90= 6OtFce+QusOSusqDamq8hBe43egarxIrR2dHZMYxZtFfQPNxa63ryuUUqOXu1yIyRHIeKYJyb0R= UVO6e6L0Z2a1mlYdUuIbVtVmGmxXcEg1LlzImtgFESJCUTExMf9/zpHq2612um3VeqxWsLByHKM= TW1ZxBCYFE+CGYn8THUPXs1y/ZP8+vy7r8v46U551zds+oj6kdfwkoclPiustaWwoc/wBnkgQ0g= 0UW+zTOp1cxRstLaNEm/oeOxpJECwyhG08MdlPKjF/LDlDgnEjS+Tbkz+PZT66nYOHV01QAhp9/= kE5HiqaUBfhPjwEnSkYM1jOUcOEFXnK56sQb1Uwcjsj2nuhfUU4wUtbRchMGGSbyE47lkybYOS4= gGGypm5thr3jBY32NTceFGr8yhQwpc4vYxA5CBpoz1mMbOzePqJLa5XXzhH4cy7kcd3bqwLNzuU= Wlh9Nj5ZBQv+uTSFti5rV7FlAuMPmGehru7sZjYx+NPvlPy6NPS3ciqZDdu8eQZxaWrx4+QvaIb= NUC+ZyksIAn448sTUvpXcJKjTpdPJpfHLKFJq1hTM3swNPsaRYOCjHX7cvRjLGHaIXvKGOA+LWh= IvwBQWRO4FqRqPSu31OzLMOHWyYg824zV9Re5jonkZJkADk2obqS8jq2lgxXtIa0DbzmDh5lgLn= RaiXH8smp7OqmtG017nD3lnrvmRqCp2rr5JcDyIlVlONWTVWyxTJo4QlsKaSZBjFOEL4zSwrGOi= BmxCCMoox1NEB09PkQ62JKsJ8kEWFDjmlTJUkjAgjRo4nFPIkGK5BjCETHEIR7msYxqvVUa1V6y= dbnnPOMXtfPu27b9Irsy4NY32bebsob+ujSMmiyvcHyap9CKvZQZrsJeghidK/g3COSUcq/TrVq= +euqMLZmQmtWv5bQ/eldCFejq8+BZ5YIvrtWJrYpsTMIt6F3vvz0pOWGR4FlCkmUFNksWi2zgwp= RT0WVY4RwXxsox74rRtjWaVMkdxQWKjEZ7XsgWTFCQ4mPG4dllLm+KY5mON2ILLH8ppa6/pZ4Xe= Q5lZaxRTYUhip5exAGY5U7r2VVTv7dIR+pTv3GeSPMLaexMJeOTiApVZieO2AhNalzCxeEKpdcs= VO7jgspgZEiCUni98F8ZVaxF8Ec84NYrkuL8PuOFDkX5mNc12pMQHOiymvHJivNWjkiimY5nkwk= YBhAcx3ZzFH4uRFRU6Wu/GOixgcE5hoVkZvKdyipW7XUuETYZFGq+XNTE/htcylUlI+0C0FEUwo= Igy7Kazq+5zPitGy7R43k2zdjuaRM+Bf3WphSznz/AFvD+z1/AyaiMBH5C66Wz7X+H7LxG+wfO8= frMpxPJa2TVXlDcRhy4FhBljUZhFERq9n+LvIRmKwwSowwSjKxr0TH538C9u+nHtqs3loe6yRuq= W5AywwrN69z5FzruzOVfg4tlhUG4MuAXyfChz7AJIF9Cd+m2wTSCEbLdsVO6dl+v9f6nv1iebYR= iew8WvMLzXHqrKcWySvkVV5QXcQc+ss6+WxRHiyox2vY9j2u/a5EaQb0aQT2Ea1yEXbzuJpcC0W= EC40cHQH4NvCeUTVv1i/UiETiQXZWElC2ePEjMqZBLKfVV59wGhzagESc0dqjPy5OunyL6romCh= ZkMiR1zKIkw8+Rn91+CifZfDhz61vFPFdTwcY2rgD9J5fUMky7eJrTCEkYFllzNO+VZ3VLX0Dfz= NNYXMwhps6BYxmxwyDO+DZyBr4C4C9Q71jcy5Q0djqLR1Xdaw09YsUOT2tiYIM4z2IqJ51c1K6Q= aNj+NmevhJrIsyVMt2NRk+WGGc9Y7tfff4e6lushsbvjluKPhdNPOSRGwbYtfYXUSkUxSPJGrcr= q3FtD1wGKwcOPaVM6eNg1SVbS3uUiZlxz/D/a1w69rsl5F7KkbWHXEjykwPE4MzFsVmSBK5Xiu7= kksmQ2ta9VYqxK8eOkKo1YeQUBCAVzztX+OmNdLmyHal/Uk5u1ePXE3LP070+DgFJakaxMW3z8b= bV+xXUQwSy8wEwL3czvzq0l8PcmhSzhAadjZqMq1gs1B8LmTepsvhZjMSQ1qiXnH6tHzJjNZHpQ= +nJfcodj0e39mUsqt4+4HcAs3JNA8SbKvqqQw0THa5DNahqAEwTX5JOGjxmAIlMBXSJciRAddjR= xx44QAa0IQjaIQhtRjBjGngwbGtVGtaxqI1rWoiIiIie3XiYximOYfRVeMYtR1eO47RQo9ZTUlL= CBW1dZAijYKPDhQYgxR4wADY1gxiGxjUan7e/yyPxT+f8Aq/8AvQR3H7hancXdnUuD9ajWEq+Vn= CXsFOtJ+0yZRAiyy+YgrDoGPeRARiFgIw19vuB5/AsWM+qf2L1khfqX5ARK1ZgYGBAZ9pCun9hU= v2nx5Iy8mZT1PR2Rfmnfo6Oj/re9R2RfmiL/AF0dkT5Iif10dHV1dT2RPknbo6Ojq6uv/9k=3D"= width=3D"43" height=3D"51" alt=3D"" style=3D"margin-top:4.23pt; margin-lef= t:12.84pt; position:absolute" /><img src=3D"data:image= /jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBA= QEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/= wAARCAAiAEEDASIAAhEBAxEB/8QAHAAAAgMBAQEBAAAAAAAAAAAAAAcGCAkFBAEC/8QAPhAAAAc= AAQMBBAUFEQAAAAAAAQIDBAUGBwgACRESExQhMQoVQVGRFxpSgZUmNjlWV1hhZnGSk5ex0dLT1v= /EABsBAAEFAQEAAAAAAAAAAAAAAAgAAQIEBgMF/8QANREAAgAEBAIGCAcBAAAAAAAAAQIDBAURA= AYSIRMxIkFRYXF0BzIzgaGxw9EkNDVScrKz8P/aAAwDAQACEQMRAD8A2orXcQ0nmj28eb0zaazF= 0K4ZPRoYrSfo8nKsyPlppc66b9okqqL6EeMVooTpKN5JcwiuX0GTFH1qtjsP7rsOxZvssVquh2f= QG1DsVVZVVxa5FSZlI1nLR0s4etjTT4Vph8gdZuiZJKRfOwbFICbUEUxEg5RcC/4OzufD99Jo4/= iabH8QAetBvo6ofuG5KeQH99lF8fd5+qZ0fj+r5fZ0TOdsu0Oi5Y9KMpTadLQIVLzjQ4FPOniRJ= SHGlIDRkgxYpeKgd2iBgH5MV9UgAZsl1+r1jM/o5m6hUI8aNP5aqzznT0JMtBmJpYXGRQqxCgVN= JYE6lDet0sT7mrUbNzI7oGY8LrRqN9oGFVzDJHVZ+Dok64r761TguHxCGOqUFmbxygsnEe7Kv2L= 0saxazAs00XDtRYOtp2K5z2677weoWe3Pd5muahyjkJSfczOvvWiIGZV2uoLNrKxjoVBtbquVo2= BUK7I+wQBwdyt70ArmAtiO4Bw5zLS9Xy3kchyta8N9ypjN3Wa5pLqfrsUjYYMhHiq0R7nYp2vpO= 3LROYfIrC1drJOYuUdMZVi6bKoGQgVJ4USOzmw+3XzntG8pE+Pe4vdRNYmsdT5RovFuoGFjXFFd= PaxZnjGJS8xziRF8594W8SBimagRMpjjZqBVOlYWsy6SQeotfkb+O2w8CZwtcy7x142ScsElTM9= wSNoUe002ThoOy8g62hucvE59XLFOovvyTNE1ZpM0qSCBdRsmRYWkao4kE1XbNsDlXp5X3c9fB7= iNg5Dcdq7Q8l5CZ5pt/wA5ulMvwWeSWaZdW1bPNJSsAuwauGPtWhUGyRVVE1BXdoGSBYhHPsO5m= faAd5hJTrbOOQVdLlU620RpGQctgeXzt4jorQYCchFGiGxFRRuqiMeWaExDMnzEjpmkpHAVu1dK= lBnuu2TSj1rhrQrfrab6E4n59rtPmI88O3i3OiV3UqyjXZR6ZUZsytaTimjZdUXCQSZDmEwmVa+= yE/SYQL7KLb6jZiQLdg5MTtzNuVzfCwmZnmry73Tifqm4TPG2Oy3jnPY3f7dV73XduGN1cY1jHO= xrr6MQjYkX0E7mF0CGbyiSPtWKKhXaaCqYpmUhtp7nOscdssyX6srnHuy1tLjnj1/SaapyrgIrd= 7ChMZ3CTMoRxWJVALBYJxV4d82ZSJ2QPLS4SF83aGUdkRFwZX29dLdYdYcXpXP5zpXFmy0C+Z3T= 6q1o9JskfDRc39ZRzAW98hphV7MhUZEyiYNEXzduKjM8aBGSCJW6Cb1ns9ViAcHnz8rqVm7G75d= kmH2VxqGS5lakpeYotBi83i16JOXuQB9S5ayR8Ok7bx9ZfIzRZIxjtpFyZqz90YCDexIALbWD3s= NIF72325AEb+AwsL785ByP+QW9/taF/wC/o6Wf5tvBfztF/wDK5t/7Po66/he1/j9v+ue6yxU/g= YPjt2dzwv8AUmj/AB/bX2fZ8utBfo65wLR+SgD/ABsonyH4AH1ROgPn7vmA/q8fPx1FOG/b/wCU= 2O4bydwfZ8MsrmA5Fw1eiC2PNNGxmSmK2nEGfA4UUjbPdoVmsdYHpTpKJulwJ7ESGbj6wMR/cSe= HvIzgi9tsljco+m6lcZOJWsOa7bnyaD6QLGAKKLmO0PD7Rq5Yd2Rs6epou3VUcRJTiUZNm3SArs= CIz1mnLtUlfSXS5GqSkeLXsyUmq0mPDi8WUmYEnLS6xhx4QicJyysqrGWGCbXYAXwM2S8u16lTu= QanN0mchS9GpFRkKlCeCyTEtEmo0w0I8OIUMUWiIxaEXAUnYkEY7HeWpFX0vWe21n9zjCS9Ru3J= 5CrWiLUcOGhZKCnX1OjZRkZyzWbu25XLJwsl7Zs4QXT9frRVTOBThQDkLlmc8GeflhzLjXBFjcy= 07gzvMnqOXuZyfmq7JFi8u1uwJIzSi8upMoNFX9Mr7sPd5dm/bFUce4vWqMir7TbLkTxPznuIV7= Mm+uOtcxmz5dLSFliGVYlYeOk0JaTRaNFX0bZRj5djKMUTRyTmPcRykdMMvWkMzGw74/uKUbxzt= DcbMfb648Rsmp3267BmloyiX0TQrO2sNrgajb4s8TNJVxY8aixav12opEK/dsnq6aaINSiDNd03= XHNTw10OekodCgswJLbHUCV2BvcXFxsSDuS0OIsVFiISUcXW4Km3LcNYg7bggEHawtijmFcw+Wm= hnx/jJxFhcHzxnmHDLOdjvMppMfcpWOAJeHglGtbqLNpKOpIWzJvNRqKKsi6kFj+h2o9lfbEQSd= JbNuTe1cotqwO8q1/H4zer7wa5DPG+gPIW3jHwxavpmuVoIhvCM7Z9XmiXcRCKqKisxcSQyTxRY= kgm2BNqk8+YXCC0US1ZTFcbOPHKW5TdCwKBy0d2xLkNRchkZuBiTvY1hTbvHzMUc0u4YtmMbIPZ= GPbsG71u8bMzFEI5EqD34ZcAoHjVkuIbvyKlJqvahiWBalSrjW2slHy9ViqdeLXeb3NoygRrB69= lLDFMbY6ZOXENJrsV3KHs2SbsPQstIWKjSoZ3OlVUaojMQbDSCSdZsAAAb2t2YdmVFZ3YKiglmY= gKoHMknYAdZOwxTfhlum58Ze2LRdFm91wfNaTPXp5WccNasx0a7zST5xoWmrXiGmoqkuHsnYZaa= kGiL2tHiGCDeKi2b4kmC6qiKhUfq3O7TOWeazGeaU8pFpVxrmdxDd1zQKNULtn7CzQtzlLGqdB7= Tb+g1skU8jHUSZMVXbZuV0C6nu5F2ibV+8uU74hcFq1TYvHEOQHI13BWG5QGq5jFx90bnWwiwQ0= 7JGaSdOKtGN06mhZy6A+mlXbhF6lPRMGFkavFDR7V47l8PwY4UtjW1y85M7JqdsumpYjb5mSsNx= gLJd5a7ZTLzLCn18VXVdQdrqpGkHTKejnZivWUbHNhI4Yt2ignsNLxkAiNLRgHZih4LKp0xFTY2= 5XBG9tyT24prU6e7MqzkuWXTqXiKCNSCIBYkEkoQ1hcgcwDfG2voJ+iX+6H+3R17fcC/oPf8Iv/= AA6OqOhuz4j74tcWH+8fHu7u8YlfgPSHw+fp8/0/EOvyHxIbz8fn8/j9gdHR1yHrt4fbDjl70+S= 48qoB4IPgPIHDwPj4h5AfPgfs8+R+X39dUvyD+wP9Ojo6n1L/ABX+oxJeQ8B8sfeqrcyQA2FzJD= ABiKXHK0lCCHkqiamoU4iiZyj8DEOQRKchgEpiiJTAICIdHR1cp/56U8xC/uMefV/0uoeUj/5th= NoZ9QpORi30lSKhIPW8XDFQePq1DO3SBW5myjcqLhdkosmVA6ih0QIcoJHUOYnpE5hGYxmf0Nvp= qc23pNRQmT2hw7PLI1uGSkzOiERAjkz8jIrozgoHMBVhVFQoGMAGDyPk6OtA3sG8n9FMYuD7dPO= r/qcXT8B9wfgHR0dHWXHV7vp43I6vd9PH/9k=3D" width=3D"65" height=3D"34" alt=3D"= editorial1.png" style=3D"margin-top:41.99pt; margin-left:-0.15pt; position:= absolute" /> </td><td style=3D"width:4.35pt; padding:0pt 5.4pt;= vertical-align:top"> </td><td colspan=3D"6" style=3D"width= :343.3pt; padding:0pt 5.4pt; vertical-align:top"><div style=3D"border-top:0= .75pt solid #000000; border-bottom:0.75pt solid #000000; clear:both"> CIENCIA DIGITAL, es una revista multidisciplinaria, = trimestral, que se publicar=C3=A1 en soporte electr=C3=B3nico tiene como mi= si=C3=B3n contribuir a la formaci=C3=B3n de profesionales competentes con visi=C3=B3= n human=C3=ADstica y cr=C3=ADtica que sean capaces de exponer sus resultado= s investigativos y cient=C3=ADficos en la misma medida que se promueva medi= ante su intervenci=C3=B3n cambios positivos en la sociedad. <a href=3D= "https://cienciadigital.org" style=3D"text-decoration:none">https://cienciadigital.org</a> La = revista es editada por la Editorial Ciencia Digital (Editorial de prestigio= registrada en la C=C3=A1mara Ecuatoriana de Libro con No de Afiliaci=C3=B3= n 663) <a href=3D"http://www.celibro.org.ec" style=3D"text-decoratio= n:none">www.celibro.org.ec</a> = 0;</div></td><td style=3D"padding:0pt; vertical-align:top"></td>= <td style=3D"padding:0pt; vertical-align:top"></td></tr><tr style=3D"height= :23.65pt"><td style=3D"width:50.5pt; border-bottom:0.75pt solid #000000; pa= dding:0pt 5.4pt; vertical-align:top"><img src=3D"= data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAE0AAAAcCAYAAAAk2zLiAAAABHNCS= VQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAEy9JREFUaIHVmWl0VFW2x3/n1q0hqaSS= ykASggmQBIKMTgFBmcQgEWVwAFyQbnCKiKLg0GlYikRabWlUXstkg8qMSGPLIIgoqCGSEMUOEAk= EiSQVw5BQSVVqvud9qKRIGHT1h7fe6v2l1rr3nnP2/p89/Pcu4fV6ZXVNNQFNQwgQAkDQTmTwRw= iBlDL0WLT9TkgkV4qUMrRncK0gdIIQIIPrROs5gsv2ka2ftTm39WzRVr1LLy9X/Coi5KUPZXsz2= tkjkSAlWkCjS+euKDoFUVtbLR97Io9Ro+9Gol0VrFZLBCL0SLRuKAhaJK7E+gqRbQyVEk1KpNQA= gaooVzdcXGZ4G52kJtE0iSYkiqIghGivhuDqwElAKiAlAakF70qAIpRL1yBEEDgpUYTCF7u/4C8= Fr5GenobqcDaTmtqZ+Pj4K0FrNS4g8Xp9uN1uPF4vfr8fRVFQVR3mcDN6gx69qkMov4OaBCkFXq= +XhoYGLjbacTQ5EEJgsViIjo7GYrFgNOiDFgvgMp00TcPv99PQYKexsRG73Y6UEovFQpQliqjoK= IwmU4su8grQhBAEAhoN9Rex2+00NjXh9XoJDw/DEhWFNTqasLAwVFUNnS0QdE1L49Spn4OgISVC= 6EIbtgVLSvC4vNSeqaGsrIyTJys5f/48TqcTo9FIlMVCp+s60bt3LzqndyHaGo2iU1v2usw5JEh= N4/z583x3oIgfD/+I3+fHZDKhaRoul4tISyT9BwygT78+REVHo+hEu5SgaRK73c6/f/g3Rd8W4X= A4CAsLR6dT8Hg8KIpC3xv6MfC2QcTGxYDSEgAiGCkSidvl5vjRn9j7xZecP3+OsLBw9Ho9bpebg= AyQkZ7OkKFD6JTSCaFXg54uW8HXEEKgQmtYiFD+aXmN/aKdvZ/v4ZuvvsbtdhMTE0NiYiJms7nF= W+opKT7EgcIDdO7amXH3j6dbZncUnQhGrBAgBUIG9z5fd4H3V67C5XYzZsy93DniTgwGA4qiYLf= b+ec/t/Dlnr2cOHmSsePHYo2zoopLYVtfX8+nWz/ldOVpBg0cyIQJE4iNjUWv13P27Fn279/Pv/= 71CceOHOWP0/5IYnJiKFY1wOlw8c1X+9mz63OysrJ44fkXSE5Oxmw2U19fT1lZGWvWrGHZkmVMz= p1Ct+szUQy6lhtv460nTpyQi9/9O4OHDW4Jz2Ac2+1NrFq+kiNlZXRO7cykSZMYM2YMVqsVo9FI= IBDA5XJRXl7O0qVLKfz2WxRV4Y+PTOOmW25CUQSCVsDA4XTw1puLkJrkgw8+ICMjA4fDwcsvv0y= 3bt145plnaGpq4ptvvmHu3Ll0Se/M+AfGE242A+Byudj68Sec/KmC+fMLGDZsGBEREVy4cIEDBw= 4wevRo3G43J06c4NFHH8Pj9TD7T7MwR5gRQuDz+Sj8upCtm7cye/Zz5OZOwWw209TUhN/vJyIiA= lVVOXfuHPl/yqewqJAZT8+gS3pXEFBcdJDhg4czcuRILl2jFKEU4HG5+eC99/nh+x8YkNWfzZs3= 88wzz5CZmUlSUhKxsbF06NCBlJQUhg8fzqqVK5k3bx5CEyxfsozyI+VI2eqxEolk/779VFVVsWr= VKnr37k14eDhOp5Nvv/2WL7/8EiklUVFRZGdnM3vWsxz+/jC2MzWhNGGrtvH1l/vJybmb2267jc= jISM6dO8eGDRtYuHAhxcXFSCnp1asX77+/irN1dXy+a3co5dTZ6ti2dRtTp04jLy+PsLAw1q1bx= 3333cddd93Fww8/zIEDB+jYsSML/7aQ1JRUdmzbgdPhIGRMi7u1K1kSgQzAns/2cKi4hL59+rB2= 3ToyMjIICwsLVaigIcEN9Ho91pgYHs/LY+Giv+FxeVixdDkX6+3Be1Cg2eVi2yef8tijj9G3b19= 0Oh1Op5Nz587xyCOPMGHCBEpLSwEwGAzcO2YsfXr3Ydsn2/B6AwQCkk8/+RSHw8Hy5cvJzc1l79= 69ZGdnM3/+fGpqasjLy+Onn35CVVV69OjBww8/zO6dn+N2edA0SUnJISwWC0/k5WE0Gti+fTvPP= vssNpuNpKQkDh48yIQJE/j+++9JSEjgpZde4tSpU9hqbG0i83LQWopVXV0dO7bvJDIyks2bNxMX= F4eUEr/fj9/vR9O0NoVCEggE0DQNRVGYOHEi06dPp/5CPV/s/hwCAbRAAJutBq/fy7SHp6HTBYv= OmTNnyM3N5bnnnmPq1KmMGzeuJacGK+mQIUOpra0LnhsI8MvPVeTn51NQUMDp06d58MEHqaioYN= q0aezZs4etW7fSt2/foFGKwkMPPYTb7cFWa6O52cmpylPcOWIE0VFReDweli5ditVqZcOGDezcu= ZONGzcCkJ+fD0BaWhqxsbFU11S3UK1L0LXxNIkUUFR0AKermZkzZ9KpUyc0TePs2bOUlpZSUlJC= dXU1gUAAj8dDZWUlRUVFHDlyBLvdjhCCF154gSiLhYNF39HYYEcIcDW7UBWVzqmdg1yqxVs1TQu= B33oZrUZnZGTg9XrRtACBgB+vz0dWVhZ5eXns27ePhQsXMmjQINavX8+ECRPYs2cPlZWVNDU1Ia= Wke/fuSClpamzC7fVit9u5vmdPVL2Kz+fDYDDQu3dvkpOTAejWrRsmk4nDhw/j9XoxGg2oqorL5= UZqsg37k6htOAY+r5efjpajCoUpU6agaRo1NTXMmjWLY8eOodfrSUhIYMWKFZSWljJ//vyQd+Tk= 5DBnzhzi4uIYNGgQ+77ex69n67DEWVv4WdArW6mNwWDAYrGg0+mQUtKxY8fL6E5wX0UoQdIpRIg= fxsfHM3XqVHJycigpKWH16tXMmTOHDh06MGbMGB544AE6derU0k0ooYsKBAIIITCbzSxYsAC/30= 9sbCyKohAIBNp1O5p2iePJdnxbtg9Pp8OB3W4nuVMn4uPj8fl8vPvuuxQWFpKXl8c777xDYmIiz= c3N5Ofn43K5ePvtt3nyySexWq2hrW4fPBiv18vZc+dAQlRUFJqmcezosRAgiYmJzJgxA7PZjE6n= Y8WKFaGkrWka5eXlmMJMKIqCTtURYTZz5MiR1pigsbGR9evXY7Vayc3NxWg0oqoqu3btIjc3lye= eeAJFUULV3hpj5VDJITweL0IIli1bxssvv0x5eTn19fWUlpbicrm49dZbMRgMuN1u3G43kZGRKE= K0CU7RxtOQuFzNuFxu0romoygKfr+fkpISLBYLd9xxB5mZmdx44414vV6qqqrIyclh8ODBDBgwA= CEERqMRRVHo2bMngYCGo7EJpKRDQgciIiNYsWIFi3svxmg0EhERQXJyMnq9HpfLRd++fUNhe/bs= Wb766iuuu+46DHo9UkDnLl1CgCQmJlJfX8/27dv58MMP8Xg8pKWl8eqrrxIfH89HH33E2++8TaQ= lkvgOcegNerp378Y3+77m7NmzdO6SSlZWFtu3b2fq1KlkZGRQXFxMbGwsc+bMwefz8eOPP+J0Ok= lJSWlD+hVAtHpaEEedTkFRFNxudyiMjEYjXq8Xj8dDIBCgsrISn8+HTqfD4XDg8/lwOBzU1dXh9= XqRUuJ0OoPMWa+iIDCFGbnvwfvYtHkTu3btaldMaNOJtK7duHEjFSdOcPe996JTdSiKYPSYe/jl= zC+sXbMGp9NJcnIyq1evZt68eXTp0oV169bRv39/0tPTufmWmwloGqPH3oPRaECniOAzJPML5uN= yuZk4cSKvvPIKVquViooKhg4dysqVK7npppuorq7mlVdeIS0jnYTExFBv2ipqKDaB8HAzEWYzNp= sNv9+PXq9nypQpzJgxg9mzZ5OWlsYXX3zB4sWLGTp0KMXFxeTl5VFXV4fT6WTr1q0YDAYOHjyIq= qpER0WHpgRZWVkc/fEIM2fORAhBdnY2ycnJTJo0CY/HA4DD4WDt2rW8/c5bDBk2lMTkDiAkioCE= pARG3HUnS5YtwRRmYurUaXTs2JHhw4eTkpJCx44d8Xg87Nq9m2dnPUu/G25g2LChQX9QBNb4GCY= 8NJEVS5Yzc+ZMXn/9df7whz8wceJEAoEAqqpiMpmoqKjg0Ucfxe1xM278OAwmY7spCIDuqadnzC= suKaZzl86oqo4fSn/g1M8/k5OTQ0pKCmlpaXTs2JHCwkJsNhuPP/44EyZMYNSoUVRUVHD48GHMZ= jOLFi0iNTUVgIKCAhouNjDq7lFER0cjhECv6Ljhhhs5eeIky5Yt41DpIXr17s2dI0aQ1T+L0kOl= PPrII2z6eBND7hjKqNGjMJiMLV4o0OkUOqUkowUCrFi2nO07dpCYmITJZMJgNFFWVsaLf8pn8f8= sJiMjgyfy8lANehSdaB1hENchnuuSr+P9999nw/r1mCMiiLRY8Pn91Nps/PXNvzJr1iz8fj8vvv= gicR1iEEpw8lFTXUOX1FTS0zMQJ04cl4vf/Tu3Dx+KlBolhQdZ/u4yho+4gw0bNmAwGADw+XzQQ= j4vVRgtFKqqqqJpGiUlJQwbPoyu6V3505x8wsJNl1KoVPB5vJQUl7B79+fU2mwoihLsHAJ+0jMy= uPueu8nI7IZq0LdwR9FuUuH3+jjxUwU7Pt3BiRMnUPV6kAJNC5CUlMQd2SPIysrCaDSi6VppjEA= KDSlBJxVqz9SydctWyo8dw+f3IRQFv89HTFwsAwb0Z2R2NhGWSAJCQwrQScHBAwcZPmQoI0eOCo= anlBKpSSSCHj2vJ7FjErt27WLLli2MHz8eo9GIwWBoNwUJ5kBdiKxqmkZdXR2zZ89GVVVyRt+Nw= RTWZggZzAJ6o4FbbxtI3xv7cdFux+VyIYSCKcyENSYGg0Ft6VvbTgcvAafXq/Ts3YvUrmk4HA6a= m5vRNI1wcziWiEjCwkzolGCTrci28z8RaoWSOiXx2JOP09jURFNTEz6fD1VVibFaiY6yBPFAIgC= lZYO2dERtTb7n6urQ6/WEhYUzZWouby18i+eff56EhAT69+9PREREcCCnKCEO1bqR3++nqqqKWb= NmcejQIQbeNpBevXrRePEiWsDfUm1aABAiNIU1GUyEGUwhQNxNDtxXmYGFPDX0RgAKBkXFEGFpH= YfidbnxuNxtvtfarRaI4D3IEIxYwiNCu/q9Ps6fuxC8ZClDfYAEnA5nyGlEeXm5HHTbICItkag6= lXvGjuHGm2+mpLiYdavXYA4LZ8aMGYwfP57k5OR2HqdpGna7nZKSEl577S98/8P3ZPbowbRHphH= QNP7x3nvYG+xXDF/bw9Aq1x5N//7a/3T9f7ZWAg6Hk9UffsjIkSODnlZ/oZ76C/UAbN70EZ1SUu= g/sD9hYSbWfbCaN954nY8//pjbb7+d3r17ExcXh9PppLq6msLCQkpLS7nYeJFBg29n3PhxhIWF8= +EHH3Cs7Cg+r7+dAnq9ntjYWIAQNZFS0tzcTHh4OJqm4XQ6r2mA0WjEaDTS3NwcGmB6vV5iYmIQ= QlBfXx/Kv1eFSwhMJhMJCQk0NjZy8eJFdDodkZGRNDY24vf7r7m2VdTLH/xaW8vSd5fw7Oxn6Nu= vLwnPzWbvnr18910R5eXH0OuDPZmUMsjLgKSkJB6fPInu12cSZjSxYe16vissugIwCHYHGzdupK= amBp/Px5o1a5g8eTJPPfUUS5YsYd68eVRWVl5T4a5du7JgwQJmz57N8OHDOX/+PAaDgSlTphAIB= Fi1ahWfffbZbxr/5ptvomkaVquVuXPnYrFYeOONN3j66aeprKxsl78uF3k10AL+AKdPnWLBq68y= ffp00tPTeSj3IXLuzcFms3G6qora2lpUVaV790xSUlOIi40lzBSO1+PhH8veo7CwEK/bc9VD9Xo= 9RqORLVu2cP/991NVVYXJZGLVqlXU1NRw5syZayoMEB4eTlpaGgUFBRw/fhydTsfYsWPJz8+nub= mZhIQElLZ/0lxFhgwZwtq1a9m2bRsej4cxY8Zw9OhRJk2axIIFC34TNHE10ILA+amtrmVBwV/Iv= msk2XfdSVxCPPFJCfS96cYQ4lIL/pvkcbk5VFzCpg0bsdlsv3kogKqqREREEBkZiaqqFBQUcPDg= QTIzM0NN/TWVFoKKigoMBgMDBgxg27ZtoYGky+XCarX+5vmKojB9+nSGDBnC3LlzWblyJX369OH= nFm762muvtZu4XFX/qz6Vwerhbm5m+yf/4pt9++nWrRvpGel0SEggIiICn89L/YUGzvzyC+XHjm= GrseH1en/zMFpKt9/vJy4uLgRQVVUV9fX1/Prrr78Lmt/vp7m5mcWLF/PRRx+xadMmduzYwUsvv= YQQgpKSEsrKyq6Z13Q6HX/+85/ZuXMnx48fJzMzk4aGBo4cOUKPHj245ZZbKCoq+k0dxLFjx+T1= 11//u8YKIVB0CqpORa/XhxJwq5G/512tYjabGThwIEIIbDYbJ0+exO/3M3jwYPbt2/e7txwXF0d= MTAxnzpyhT58+2Gw2HA4H/fr1Q9M0ysrKaGhouKY+iqKQmppKz549uXDhAg0NDfh8Pk6fPk1GRg= Zut5vTp09fde3OnTvJzs5GVFVVycmTJ19BXP8vpJXf/TeKlJJFixbRr1+//29V/jvlfwEFa9S64= BEn+gAAAABJRU5ErkJggg=3D=3D" width=3D"77" height=3D"28" alt=3D"" style=3D"m= argin-top:0.15pt; margin-left:0pt; position:absolute" /> </td>= <td style=3D"width:4.35pt; border-bottom:0.75pt solid #000000; padding:0pt = 5.4pt; vertical-align:top"> </td><td colspan=3D"6" style=3D= "width:343.3pt; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vert= ical-align:top">Esta revista est=C3=A1 protegida bajo una licencia Creativ= e Commons Atribuci=C3=B3n-NoComercial-CompartirIgual 4.0 International. Cop= ia de la licencia: <a href=3D"https://creativecommons.org/licenses/b= y-nc-sa/4.0/deed.es" style=3D"text-decoration:none">https://creativecommons.org/licenses/by-nc-sa/4.0/d= eed.es</a></td><td style=3D"border-bottom:0.75pt solid #000000; = padding:0pt; vertical-align:top"></td><td style=3D"padding:0pt; vertical-al= ign:top"></td></tr><tr><td colspan=3D"4" style=3D"width:93.7pt; padding:0pt= 5.4pt; vertical-align:top">Palabras claves: Gesti=C3=B3n educativa digital, innovaci=C3=B3n pedag=C3=B3gica, transfor= maci=C3=B3n digital, liderazgo educativo, competencias digitales.</p= ></td><td colspan=3D"2" style=3D"width:0.9pt; padding:0pt 5.4pt; vertical-a= lign:top"> </td><td colspan=3D"3" style=3D"width:305.6pt; bo= rder-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:= 0pt 5.4pt; vertical-align:top">ResumenIntroducci=C3=B3n: </spa= n>la gesti=C3=B3n educativa digital se posiciona como un eje estrat= =C3=A9gico que articula el uso de las tecnolog=C3=ADas de la informaci=C3= =B3n y la comunicaci=C3=B3n con los procesos organizativos y de ense=C3=B1a= nza-aprendizaje, permitiendo responder a las demandas de la sociedad del co= nocimiento. Objetivos: <span= >la investigaci=C3=B3n analiza la gesti=C3=B3n educativa digital como estra= tegia para fortalecer la innovaci=C3=B3n pedag=C3=B3gica en la <span= style=3D"text-decoration:underline">Escuela Sixto Dur=C3=A1n Ball=C3=A9n</= span>, en el contexto de la transformaci=C3=B3n digital del sistema e= ducativo ecuatoriano. Metodolog=C3= =ADa: este estudio se desarroll=C3=B3 bajo un enfoque mixto, c= on un dise=C3=B1o no experimental de alcance descriptivo correlacional. La = poblaci=C3=B3n estuvo conformada por 3 directivos y 20 docentes, a quienes = se aplicaron encuestas y entrevistas semiestructuradas. Resultados: los resultados evidencian av= ances en la incorporaci=C3=B3n de herramientas digitales y en el liderazgo = institucional; sin embargo, se identifican limitaciones en la formaci=C3=B3= n docente, la infraestructura tecnol=C3=B3gica y la articulaci=C3=B3n entre= la gesti=C3=B3n administrativa y la pr=C3=A1ctica pedag=C3=B3gica. Asimism= o, se observa una d=C3=A9bil implementaci=C3=B3n de metodolog=C3=ADas activ= as mediadas por tecnolog=C3=ADa y ausencia de mecanismos sistem=C3=A1ticos = de evaluaci=C3=B3n del impacto digital en el aprendizaje. Conclusiones: se concluye que la gesti= =C3=B3n educativa digital requiere ser fortalecida con un plan estrat=C3=A9= gico e integral que permita consolidar una cultura institucional orientada = a la innovaci=C3=B3n, se proponen lineamientos para la implementaci=C3=B3n = que contribuyan al mejoramiento de los procesos educativos. =C3=81rea de estudio general: Educaci= =C3=B3n. =C3=81rea de estudio espec= =C3=ADfica: Gesti=C3=B3n educativa digital e innovaci=C3=B3n p= edag=C3=B3gica. Tipo de art=C3=ADcu= lo: Art= =C3=ADculo Original. </= span></td><td style=3D"padding:0pt; vertical-align:top"></td></tr><tr><= td colspan=3D"3" style=3D"width:91.45pt; padding:0pt 5.4pt; vertical-align:= top">Keywords: <= /p>Digital educational management, peda= gogical innovation, digital = transformation, educational leadership, digital competencies.</td><td colspan=3D"2" style=3D= "width:0.85pt; padding:0pt 5.4pt; vertical-align:top"> </td>= <td colspan=3D"4" style=3D"width:307.9pt; border-top:0.75pt solid #000000; = border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">= AbstractIntroduction: digital educational manage= ment is positioned as a strategic axis that articulates the use of informat= ion and communication technologies with organizational and teaching-learnin= g processes, allowing to respond to the demands of the knowledge society. <= /span>Objectives: the researc= h analyzes digital educational management as a strategy to strengthen pedag= ogical innovation in the S= ixto Dur=C3=A1n Ball=C3=A9n School, in the context of the digi= tal transformation of the Ecuadorian educational system. Methodology: this study was developed un= der a mixed approach, with a non-experimental design of correlational descr= iptive scope. The population was made up of 3 principals and 20 teachers, t= o whom surveys and semi-structured interviews were applied. Results: the results show progress in= the incorporation of digital tools and in institutional leadership; howeve= r, limitations are identified in teacher training, technological infrastruc= ture, and the articulation between administrative management and pedagogica= l practice. Likewise, there is a weak implementation of active methodologie= s mediated by technology and the absence of systematic mechanisms for evalu= ating the digital impact on learning. Conclusions: it is concluded that digital educational manag= ement needs to be strengthened with a strategic and comprehensive plan that= allows consolidating an institutional culture oriented to innovation, guid= elines for implementation that contribute to the improvement of educational= processes are proposed. General ar= ea of study: Education. Specific area of study: Digital educational management and p= edagogical innovation. Item Type: <= /span>Original Item.&#= xa0;</td><td style=3D"padding:0pt; vertical-align:top"></td></tr= ><tr style=3D"height:0pt"><td style=3D"width:61.3pt"></td><td style=3D"widt= h:15.15pt"></td><td style=3D"width:25.8pt"></td><td style=3D"width:2.25pt">= </td><td style=3D"width:9.4pt"></td><td style=3D"width:2.3pt"></td><td styl= e=3D"width:56.35pt"></td><td style=3D"width:258pt"></td><td style=3D"width:= 2.05pt"></td><td style=3D"width:3.75pt"></td></tr></table>1. = ; In= troducci=C3=B3n En la actualidad, los sistemas educativos se desarrollan en un ento= rno caracterizado por la constante transformaci=C3=B3n tecnol=C3=B3gica, lo= que exige a las instituciones escolares replantear sus modelos de gesti=C3= =B3n y sus pr=C3=A1cticas pedag=C3=B3gicas, en este contexto, la gesti=C3= =B3n educativa digital se posiciona como un eje estrat=C3=A9gico que articu= la el uso de las tecnolog=C3=ADas de la informaci=C3=B3n y la comunicaci=C3= =B3n con los procesos organizativos y de ense=C3=B1anza-aprendizaje, permit= iendo responder a las demandas de la sociedad del conocimiento, seg=C3=BAn = Alonzo et = al. (2023) el liderazgo directivo cumple funciones vitales dentro del desar= rollo educativo, por lo que su capacidad, visi=C3=B3n positiva, proactiva y= transformadora, repercutir=C3=A1 en los resultados educativos.<= p class=3D"NormalWeb" style=3D"margin-top:0pt; margin-bottom:0pt; text-alig= n:justify; line-height:115%">Diversos estudios realizados en la Organ= izaci=C3=B3n de las Naciones Unidas para la Educaci=C3=B3n, la Ciencia y la= Cultura (UNESCO, 2024) coinciden en que la incorporaci=C3=B3n efectiva de = las tecnolog=C3=ADas en la educaci=C3=B3n no depende =C3=BAnicamente de su = disponibilidad, sino de la capacidad institucional para integrarlas de mane= ra planificada, coherente y orientada a la innovaci=C3=B3n pedag=C3=B3gica,= desde el punto de vista te=C3=B3rico, la gesti=C3=B3n educativa digital se= comprende como un proceso integral que trasciende la digitalizaci=C3=B3n d= e tareas administrativas y se orienta a la transformaci=C3=B3n de la cultur= a institucional, el liderazgo directivo y las pr=C3=A1cticas docentes. </sp= an>Autores como Salinas et al. (202= 5) sostienen que la gesti=C3=B3n digital reorganiza la din=C3=A1mica escola= r mediante el uso de plataformas, sistemas de informaci=C3=B3n y entornos c= olaborativos, mientras que organismos internacionales como UNESCO (2024) de= stacan que la transformaci=C3=B3n digital educativa depende de la articulac= i=C3=B3n entre infraestructura tecnol=C3=B3gica, formaci=C3=B3n docente y l= iderazgo institucional. En este sentido, la innovaci=C3=B3n pedag=C3=B3gica= se configura como un elemento clave para impulsar cambios innovadores.</sp= an>En el contexto latinoamericano y= ecuatoriano, la literatura evidencia avances en la formulaci=C3=B3n de pol= =C3=ADticas p=C3=BAblicas orientadas a la digitalizaci=C3=B3n educativa as= =C3=AD como lo demuestra la Asamblea Nacional del Ecuador (2011) al estable= cer la incorporaci=C3=B3n de tecnolog=C3=ADas de la informaci=C3=B3n y comu= nicaci=C3=B3n en el proceso educativo; sin embargo, persisten brechas signi= ficativas en su implementaci=C3=B3n, una investigaci=C3=B3n reciente Lleren= a & Mu=C3=B1oz (2025) se=C3=B1alan que factores como la limitada capaci= taci=C3=B3n docente, la insuficiente infraestructura tecnol=C3=B3gica y la = d=C3=A9bil articulaci=C3=B3n entre gesti=C3=B3n institucional y pr=C3=A1cti= ca pedag=C3=B3gica dificultan la consolidaci=C3=B3n de procesos de innovaci= =C3=B3n educativa. Esta problem=C3=A1tica r= efleja una desconexi=C3=B3n entre el discurso de transformaci=C3=B3n digita= l y las pr=C3=A1cticas reales en las instituciones escolares, donde la tecn= olog=C3=ADa contin=C3=BAa siendo utilizada de manera instrumental y no como= un componente estrat=C3=A9gico del aprendizaje, en la Escuela Sixto Dur=C3=A1n Ball=C3=A9n<= span>, esta situaci=C3=B3n se manifiesta en la limitada integraci=C3=B3n de= herramientas digitales en las pr=C3=A1cticas pedag=C3=B3gicas innovadoras,= Concha et al. (2023) se=C3=B1alan que el uso de herramientas digitales fav= orece la inclusi=C3=B3n educativa al facilitar el acceso al aprendizaje, at= ender la diversidad y fortalecer la participaci=C3=B3n de los estudiantes.<= /span>Esta prob= lem=C3=A1tica adquiere relevancia en el marco de la educaci=C3=B3n ecuatori= ana, y as=C3=AD como lo se=C3=B1ala Cort=C3=A9s (2022) los educadores no de= ben permanecer ajenos a la historia reciente y al impacto de la digitalizac= i=C3=B3n en la organizaci=C3=B3n de la ense=C3=B1anza ya que compromete la = calidad del proceso educativo y la posibilidad de desarrollar aprendizajes = significativos acordes con las exigencias del siglo XXI, en este sentido, l= a presente investigaci=C3=B3n tiene como objetivo analizar c=C3=B3mo la inn= ovaci=C3=B3n pedag=C3=B3gica contribuye al fortalecimiento de las pr=C3=A1c= ticas educativas en la Escuela Sixto Dur=C3=A1n Ball=C3=A9n<spa= n style=3D"font-family:'Times New Roman'">, a partir de la identificaci=C3= =B3n de sus pr=C3=A1cticas actuales.Mart=C3=ADnez & Rogero (2021) se=C3=B1alan = que la innovaci=C3=B3n educativa est=C3=A1 estrechamente vinculada al conte= xto en el que se desarrolla, por lo que las propuestas de cambio deben resp= onder a las necesidades y caracter=C3=ADsticas de cada comunidad educativa,= en el contexto contempor=C3=A1neo, caracterizado por la acelerada evoluci= =C3=B3n tecnol=C3=B3gica, los sistemas educativos enfrentan el reto de tran= sformar sus modelos tradicionales hacia enfoques m=C3=A1s din=C3=A1micos, f= lexibles e innovadores, en este escenario, la innovaci=C3=B3n pedag=C3=B3gi= ca emerge como un componente estrat=C3=A9gico que permite no solo optimizar= los procesos administrativos, sino tambi=C3=A9n potenciar el aprendizaje m= ediante el uso intencional de las tecnolog=C3=ADas de la informaci=C3=B3n y= la comunicaci=C3=B3n.En Ec= uador, si bien se desarroll=C3=B3 pol=C3=ADticas orientadas a la innovaci= =C3=B3n digital, como lo demuestra el Ministerio de Educaci=C3=B3n del Ecua= dor (2021) en su agenda educativa digital , persisten limitaciones relacion= adas con la formaci=C3=B3n docente, la infraestructura tecnol=C3=B3gica y, = especialmente, la articulaci=C3=B3n entre gesti=C3=B3n institucional y pr= =C3=A1ctica pedag=C3=B3gica. Esta situaci=C3=B3n evidencia una brecha entre= el discurso de modernizaci=C3=B3n y la realidad educativa, donde la tecnol= og=C3=ADa a=C3=BAn es utilizada de manera instrumental y no como eje articu= lador del aprendizaje.2.= Metodolog=C3=ADa <= /p>La investigaci=C3=B3n se desarroll= =C3=B3 bajo un e= nfoque mixto, al integ= rar procedimientos cuantitativos y cualitativos con el prop=C3=B3sito de ob= tener una comprensi=C3=B3n hol=C3=ADstica de la relaci=C3=B3n entre la gest= i=C3=B3n educativa digital y la innovaci=C3=B3n pedag=C3=B3gica, permiti=C3= =B3 combinar el an=C3=A1lisis de datos estad=C3=ADsticos derivados de la ap= licaci=C3=B3n de instrumentos estructurados con la interpretaci=C3=B3n de p= ercepciones, experiencias y valoraciones de los actores educativos, favorec= iendo la triangulaci=C3=B3n de la informaci=C3=B3n y el fortalecimiento de = la validez interna del estudio.<sp= an>El dise=C3=B1o de la investigaci=C3=B3n fue no experimental, dado que las v= ariables no fueron manipuladas deliberadamente, sino observadas en su conte= xto natural. Seg=C3=BAn Hern=C3=A1ndez-Sampieri & Mendoza (2018) este t= ipo de dise=C3=B1o se caracteriza por estudiar los fen=C3=B3menos =E2=80=9C= tal como se dan en su contexto natural, para analizarlos posteriormente=E2= =80=9D (p.152). Asimismo, el estudio adopt=C3=B3 un alcance descriptivo=E2=80=93correlacion= al, ya que permiti=C3= =B3 caracterizar las pr=C3=A1cticas de gesti=C3=B3n educativa digital y exa= minar su relaci=C3=B3n con la innovaci=C3=B3n pedag=C3=B3gica.<p= class=3D"NormalWeb" style=3D"margin-top:0pt; margin-bottom:0pt; text-align= :justify; line-height:115%">El tipo de investigaci=C3=B3n fue = de campo y documental</= span>, de campo porque la inf= ormaci=C3=B3n se recolect=C3=B3 directamente en el escenario donde ocurre e= l fen=C3=B3meno, mientras que el car=C3=A1cter documental se sustent=C3=B3 = en la revisi=C3=B3n de fuentes te=C3=B3ricas y normativas. Tal como se=C3= =B1ala Arias & Beltr=C3=A1n (2023) la investigaci=C3=B3n de campo =E2= =80=9Cconsiste en la recolecci=C3=B3n de datos directamente de la realidad = donde ocurren los hechos=E2=80=9D (p. 31), as=C3=AD su poblaci=C3=B3n estuv= o constituida por la totalidad del personal directivo (3 autoridades) y doc= entes (20 profesores) de la instituci=C3=B3n, garantizando la cobertura tot= al de los sujetos de estudio.<span= >Para la recolecci=C3=B3n de datos se utilizaron t=C3=A9cnicas e instrument= os de naturaleza cuantitativa y cualitativa. En el componente cuantitativo,= se aplic=C3=B3 una encuesta estructurada al personal docente, dise=C3=B1ada b= ajo escala tipo Likert de cuatro niveles de respuesta, orientada a medir pe= rcepciones sobre la gesti=C3=B3n institucional, el uso de herramientas digi= tales y su relaci=C3=B3n con la innovaci=C3=B3n pedag=C3=B3gica. En el comp= onente cualitativo, se emple=C3=B3 una entrevista semiestructurada dirigida a= l personal directivo, con el objetivo de profundizar en la visi=C3=B3n estr= at=C3=A9gica, el liderazgo digital y los factores que inciden en la transfo= rmaci=C3=B3n educativa.Los m= =C3=A9todos de investigaci=C3=B3n utilizados incluyeron, en el plano te=C3= =B3rico, el m=C3= =A9todo anal=C3=ADtico=E2=80=93sint=C3=A9tico, que permiti=C3=B3 descomponer el fen=C3=B3meno en = sus componentes y posteriormente integrarlos en una interpretaci=C3=B3n glo= bal; y el m=C3= =A9todo inductivo=E2=80=93deductivo, que facilit=C3=B3 la cons= trucci=C3=B3n de inferencias a partir de los datos emp=C3=ADricos y su cont= raste con los referentes te=C3=B3ricos. En el plano emp=C3=ADrico, se emple= aron la observac= i=C3=B3n cient=C3=ADfica, <s= pan>la encuesta y la entrevista como fuentes primarias de informaci=C3=B3n.= El procesamiento de los dato= s cuantitativos se realiz=C3=B3 mediante estad=C3=ADstica descriptiva, utilizando frecuencias y porcentajes para = la organizaci=C3=B3n y an=C3=A1lisis de la informaci=C3=B3n, as=C3=AD como = su representaci=C3=B3n en tablas de tabulaci=C3=B3n. En cuanto al an=C3=A1l= isis cualitativo, se aplic=C3=B3 un proceso de interpretaci=C3=B3n tem=C3=A1tica<spa= n style=3D"font-weight:bold">, identificando patrones y relaci= ones en los discursos de los participantes identificando categor=C3=ADas em= ergentes relacionadas con liderazgo digital, cultura institucional, limitac= iones estructurales y estrategias de mejora.Finalmente, se garantiz=C3=B3 la validez y confiabilidad del e= studio mediante la coherencia entre los objetivos, los instrumentos aplicad= os y el an=C3=A1lisis de resultados, as=C3=AD como a trav=C3=A9s de la tria= ngulaci=C3=B3n metodol=C3=B3gica. Seg=C3=BAn Denzin (2009) la triangulaci= =C3=B3n permite contrastar diferentes fuentes y m=C3=A9todos para fortalece= r la credibilidad de la investigaci=C3=B3n que permiti=C3=B3 contrastar la = informaci=C3=B3n obtenida desde diferentes fuentes y perspectivas.</= p><spa= n style=3D"font-weight:bold">3. = ; Resultados Los resultados obtenidos para esta investiga= ci=C3=B3n se derivaron de la aplicaci=C3=B3n de una encuesta al total del p= ersonal docente y de una entrevista al personal directivo de la <spa= n style=3D"text-decoration:underline">Escuela Sixto Dur=C3=A1n Ball=C3=A9n<= /span>, dicha informaci=C3=B3n se organiz=C3=B3 en funci=C3=B3n de la= s dimensiones de gesti=C3=B3n educativa digital e innovaci=C3=B3n pedag=C3= =B3gica resaltando porcentajes y en la cual se obtuvo los siguientes result= ados: En relaci=C3=B3n con l= a integraci=C3=B3n de herramientas digitales en la planificaci=C3=B3n curri= cular, se evidenci=C3=B3 que 19 de los encuestados que representan el 95% d= e los docentes manifest=C3=B3 estar de acuerdo o totalmente de acuerdo con = su incorporaci=C3=B3n en el proceso de ense=C3=B1anza-aprendizaje, mientras= que un docente que representa el 5% expres=C3=B3 desacuerdo, de ello se pu= ede decir que la mayor=C3=ADa de docentes integran las herramientas digital= es para potenciar el aprendizaje.<= span>Respecto al liderazgo directivo orientado a la transformaci=C3=B3n dig= ital representado en la Figura 1</s= pan>, 18 de los encuestados que representa el 90% de los docentes ind= ic=C3=B3 una percepci=C3=B3n favorable, y 2 de ellos que representan el 10%= indico que el directivo no fomenta una cultura de transformaci=C3=B3n digi= tal, lo que evidenci=C3=B3 la existencia de iniciativas institucionales enf= ocadas en la modernizaci=C3=B3n educativa en la instituci=C3=B3n. </= p>Figura 1</= span>La = planificaci=C3=B3n curricular institucional integra de forma transversal el= uso de herramientas digitales para potenciar el aprendizaje significativo<= /span><img src=3D"data:image/png;base64,i= VBORw0KGgoAAAANSUhEUgAAAdIAAACuCAYAAACC94w4AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz= AAAOxAAADsQBlSsOGwAAG1hJREFUeJzt3Xl4U1XeB/Dvzdo1TfeySal0EFD2RcRXwREEUQd0cB1= lRp13dHDF5Z3RcRR3AUEQkcUNEHV0HHhGQFTEBVmUfamy1kJbSvc0adNmve8fbUOXpE17k97c5P= t5nuNjkrv8cnK5355zswh5BSUiiIiIqMMye6YJGgDo3SNV7lqIiIgU5VRhKQBAJXchRERESsYgJ= SIikoBBSkREJAGDlIiISAIGKRERkQQMUiIiIgkYpERERBIwSImIiCRgkBIREUnAICUiIpKAQUpE= RCSBRu4CiKi1devWAQC+sw4EACy4NVvmiojIFwYpURdrDEl/NP4000MfHPdr+dcYuERdjkFKFGR= r165t8/GKqmps3p4Dp9OFCWMvRGqSAQBQZ3Mgb9s62Ksr0Gv0tYhKOPcrTRW5+5HYZxAEofnVmQ= fXnAvchbcxVIm6AoOUKMCq5t2ILeff4teybreIzdtzcNnIC6BRq/D1jhxMnzQKKpUKufkliE3rj= ZR+I1F2fA96jJgEAKguOY2Y1F6AoEJbPyb8QJNQXcRQJQoaBilRgFTNm97hdc6WmaDTapCRkgAA= iIuNwpkSE3pmJEEU62PSLQKiKEIE4HLY4Kg1IzbtvDZDtKX71zSfGn6dwUoUMAxSIgmq5v7e6/1= XnFiDr8+/td31K0zVSIiP9oRmYnwMqixW9EhPRFavVOzamouK3H3oPnIKRBEw5x+BoddAiB1JUS= /ue78+WBf/gYFKJBWDlKgTqubeEJDt2BxOROm1ntsqlQq1NjsAIEqvQ89Lzu3HWnkWuoR0CBpNh= 0ajbZnZEKhvMFCJOo1BStQBgQrQRlE6LWrr7J7bDqcLMdE6z+3GwHQ7nagzFcPYZzBs5gqc2b0e= 2mgDMkZMhlqrl1zHXxsCdQkDlajD+IUMRH4wz70e5rnXQ4Dod7vy5Pv11zbbaEZDDMpN1Z7bleY= aJCXENlkG9VO6BUcQ16M/RBGozN2HtIvGIzq1NyyFxzzLBKLdu/o47l3t30dtiKgeg5SoHeY50z= qfTO1ITzbAWmtHSbkZpRVmVNfUIS3Z4HlcBGCzlEMTbYBKq4MIQIQIURDqH3e7Gu4LbLuHYUrkN= 07tEvlgnjM16PtQqVS44uIB2LzjMDRqNSaMvRAatdrzuFt0w1p6CglZwzzTvAlZQ1G8eyNUGj0y= Rl0TsOulLf2lIUyX3c7pXqK2CHkFJWLvHql+LEoUOcxzfhewbX2ZdXvn17UODlgdUiy/g2FK1NK= pwlJk9kwTOCIlasL8SuACNBCCNdrsqD+vqh+drmCgErXCa6REDcyvXBeEq43SojAY1Uhpd6/itV= OilhikRADMr1wbtPiZeHJlu+/e9dVkT04v7e6VDFOiphikFPHMr1zTBQnUOf5/2KZr210rTwT0N= SBSMl4jpYhmfnmKrPt3u0V8+uUuVJqtiI7S4ZYpF8PpdGHLj7+gymJFzPAe0BnSPMtbft2HuMzB= rX71RQ53rjyBd2b0lbsMItnxXbsUsbo6RDdlzWh1X25+KVKT4hEfG+W570huERxOF1KT4rH5aB2= Sh04GANSVnYZaHwttfHKX1u2Pd//IQKXI0/iuXfn/rCWSgeXlq7t8QrQll8uNA0fzUVBc2exrAh= u/wF4U6/8jNvzqi7PWDE18styXSL22P77HqV6KXAxSijiWlyYH7jv1OtBavpFIpRJw9WUXISZKh= 6+256Ciqv6rAvv0TMHponJ8+9MviM0aDlEErIVHEN3tgoCX5XaJMP38Pc58uRSlP62Fo7a6xeNu= FH+3CoUbFqBo83K4nE6IIuC01aH0p7U4u+Ud2KtKmn2J07rPv4Xb7ZbzJSbqUpzapYhieWmSrPv= fmPUnr/dXWWqxbd9xXH3ZoGb3b7AOh91UBADQGbsFvB5b2WlArYE2PgXmI99DdDqQOGSy5/HaM8= egM6ZDHZPQbD3r6UNwu5zQJaSh5vRBzzoPj3AhKdGA3j0DXytRqOHULkUcy0tXhcAkqHcJ8dHQq= FVwuZqP5NwuJ+xVJdAau8FhKUfJ9ytRvmsdXA5bQKrRpZwHXWJ3CBod4s4fBVvxSc9jbpcL1b/u= QW3ZKTht1hbr1j8Xd+Nou2H6+fm1vzBEKeIwSCki1Ieo/Nr6zKharWq1jLXwCKK61f/qS3XePhg= GXAFdcm/UFgX2V19EERC0sRC0+nPft69SI3Hk9VDp42Haux4OS7nnMX16Nmwluag6+AWi+9RPP9= cWHkFUtwvwh3d4vZQiCz/+QpHBj19ikYPbLUIQgLzCcnRLNUKlEjyPVZproI5OhdDwqy8AIAoNb= 1tyOyV8OtU7R00FonsPbbZdQauHPq0P1DFGmH/egsRR9b/HKuiiYRx17rdZ7aYiqBPSAHX9j47f= 9s4JrLmT7+SlyMARKYU9y4sTQmBKt75NyX3bU1dZpQWffXsAG78/iFqbHf0yMzyPiaKIwuJKaFN= 6e9aOzhwKS84W2M4egz6jX8Crs5XkIuq8wV4fU8clQlBr4Ha1/tk2t8sJR5Pp57KtK2HatQ411l= qZXnGirsURKYU1y4tXyl1CK40fb0k2xuG68YO9PgYAA/v2wEnrucfUsclIvPSOJssGriZb8Qnoe= wyAoNb63q5KAxGqVpd6awuPQN8w/Ww9tQ/xA66Aw1yG2+ZuwrqnpwWuSKIQxREphS3Li7+VfQTa= kTccedMV1djK86FJyIAqKh4umxWO6vJzo023CLfoRl3RcWiSewEqodm6jupyqKLjz00/i4CIhh8= ddzlx89u8XkrhjyNSCltCAEdsgXRt7lv4LOtuv5YN9lOwFf6MmkNfNLlHgHHcnyECcFadRU3ONx= A0augy+kHfc1CzekTRDUfZKURlnvvRcX3mUNTs3wBBo0fc0GshArjp7RP41128Xkrhi0FKYan6h= SvkLqFNop/zssF+j5Su+wDoug/wul+1IQOGMbe0UY8K+t7Dmt2njk2GYWxwpp+JQhWndinsVL8w= PgSmbwMzvSt3lYFq09/iFC+FLwYphR8Zvv6vo+263OVy9xIRBQiDlMJK9fOXh8D4y7/W2R/7Vmr= 7/Qr+IDiFJ14jJZKJP9dJ/b2WSkTy4YiUwkb185fJPsrsSJuaF3nTuzcsPyZ3CUQBxxEphQ8Fjt= 7aG3FyREoU+jgipbBQ/dylso8wg3GdNBxdv+yo3CUQBRSDlMKE/KHYmXb9qWVtP6sQeJNQMBpRO= OHULilezbNjIfixXKhqK1jCNXSmvvkL1t3bX+4yiAKCQUphQNlhE65hSRQpOLVLYUD+KVopbfpp= 39O7ck/BcnqXqH0MUlK0mmcvlj0IA9HkDjU52nVv5Mh9+BAFBKd2SdnCZGTDERqRcnFEShQCbsr= 3Pr0r96iR07tE7WOQksLJPy0bzOndcHft4sNyl0AkGad2SbFqZo+Uu4Sgi4QwJVI6BikpV5iFzM= 35b+LDnvc0u49BShT6OLVLiiVADLsWaVO7ADBl0UG5SyCShCNSUiTrM8PlLqFLREqYEikZR6SkT= KIYlu22gjcjbkRKpHQckZJChW/INA1QhilR6GOQkkJFRsAwSIlCH6d2SaHk/9xnsNrtZ5ZwapdI= QTgiJWUK84xpDFGGKVHoY5CSQjFgiCg0cGqXFEr+KdhgthlFS/z+vtpwaBNf3SP3AUXUaRyRkjJ= FwJQnr5MSKQODlBSn9qmBEOQugoioAYOUKETdeXYJ1hpGyV0GEbWDQUoKFDnTnZzaJQp9DFJSng= gKl/XmGXKX0IV+kbsAok5hkJICRU6QElHo48dfiIiIJOCIlBQngmZ2iUgBOCIlxYl54YjsX5jAF= oxGpEwMUiIiIgkYpEQku5gXjspdAlGn8RopKRI/X0lEoYIjUiIiIgkYpERERBJwapcUiTO7RBQq= GKSkUExSIgoNnNolRYp76bjcJRARAQxSIpIb/ygipePULikWPwJDRKGAI1IiIiIJGKSkWPEvn5C= 7BCIiTu2SsnF2V9kMr/CPIVI+BikpHJOUiOTFqV1SNMMrJ+UugYgiHEekpHic3lWmhDn8I4jCA0= ekREREEjBISfHqRzYim+IaUXhgkBJRl0uYkyt3CUQBw2ukFBYS5uTC9FiW3GUQUQRikFIY4XShE= hjn/ip3CUQBxaldChs8QRORHDgipbDCj8KEtsR5/GOHwg9HpBRWeKImoq7GESmFIQ5LQ1HivDy5= SyAKCgYphZ3EeXmoeCRT7jKoiaRXGaIUvji1S0REJAGDlMJS/QhI7m/uYQNEjkYp7DFIiYiIJOA= 1UgpbSa+eQvms3nKXEdGS55+SuwSioOOIlMIaT+TyYd9TpOCIlMJe8vxTKJ91Xqv7baIKMwsnoF= rUee6723gAV8afBgAUOmKxuHwYbKIa9yfvRR+dGQBQ7dLi9YphKHLGYlbybmQ23A8AmyyZmBiXB= 5XQJU8tZCXPPy13CURdhkFKESF5/mmUPdw8TE/ZDHg2fSsy1DUQBAHvmwYgUV0HUQRcooBF5cNx= l/EgtCo3llYMwYtp30MlAD9au2GwvgRT46uw3pyFmcn7AQCH65IxUF8GIcK/YSllAUOUIgundil= itDzBZ+tN6KaxQhAEiKKIA3WpGKAvAwActxsRKziQrTchU2tGkroWv9iSgSZf9yCKgLvhn1CtW4= 0yVzR6aqu7+FkRkdwYpBRhvH9EI99pQLa+ElEqV/1tRzwytNWex3toLCh2xgAQMTrmDPbWpWNp5= WBMiT8BQMQP1h64JLpQ9o+ayN04GqVIxKldiigpC/JR9nCvVvfn2JIxKqrIc9vq1iBOZffcVkOE= 2V1/LTVO5cCTqTs8j52wG5GprYJO5Q56/aEsZUG+3CUQyYIjUoo4KQvyIYpo1g7VpeICfbnndqz= ggMOt9tyuEzWIElyt1rO5VMi1G9FXZ0KBPQ6Pnh2HV0pHo8alabVsODeGKEUyBilFpNTXzp34q1= w6JKtroRdcnvt6ai3Id8R7bp9xxqGX1txqO9tqe2JsVAEAYFNNFv5kPISL9CXYWds96M8hVDTtS= 6JIxCCliFUfACJ+tiVjZNSZZtf6snUVMLmjcNKegFy7AeXOaGTrypstU+CIRYq6BjFqBwARoihC= aHgrkkNUyX69sisaQ5SIQUoRLvW1AuRf/Cj66cqbTVUKAO4x7sWSymFYUTkEDyTthgai53GXGzh= Ul4YL9WWe+ybFnsS7povwY213jI4qlH26Ndgt9bUCuV8+opAg5BWUiL17pMpdB5HsSh7sKXcJip= C2kAFKBACnCkuR2TNN4IiUqAEDon3sI6LW+PEXoibSFhag+IEecpcRktIXFcpdAlFI4oiUqAUGR= mvsEyLfGKREXqQvKmR4NGA/ELWNU7tEbWgMkeIHIudzoY3SF52RuwQiRWCQEvkhfdEZnL0/MsI0= 43UGKFFHMEiJ/NQYMOEaqAxQos5hkBJ1ULgFKgOUSBoGKVEnNQZQ0X3d5C6lU7otLvJjKSJqD4O= USKKmgRTqocrwJAo8BilRAIViqDI8iYKLQUoUJC0DrOi+jC7c99ku2xdRpGOQEnURX+F2ZmbnA7= b7GwxMIrkxSIlkxjAkUjZ+RSAREZEEDFIiIiIJGKREREQSMEiJiIgkYJASERFJwCAlIiKSgEFKR= EQkAYOUiIhIAgYpERGRBAxSIiIiCRikREREEjBIiYiIJJDtS+tXf7IRqz7e0Or+2JhorFs5L2Db= XzbvCWT17iF5e4GwcPmHWP/VD1jz5vNIS0mUuxyvuqrGx59dhH2HjgIA1GoVkowGDOiXhWlXj8f= AfllB228gdOXr+PScZdi+62Cr+5+adTcuGzO0Q9tSwvHXVFfUG4nnoc7i8dOGvIISUQ7rPv9WrK= isEkVRFGfc/4x4PPe0WGezi6s+3uDX+lt37mt3mb89v1g8mVcguVapdTT1l0dfFItLK4JWTyB0V= Y0LV3wkfrj2C7HOZheLisvEZav+I06YPlM8kHM86PuWqitfx+Wr14r//uxrz+2yCpO4c/ehTm1L= CcdfU8GuN1zOQ/7WIhWPn+byCkpEBGtE+uCa417vX3hbtuf/Lx8zDMaE+GaP63VaTJ08Dm63CJV= K8Ln96pparPl0Ey4dPaTNOnTa4A64/a2jKb1OG9SaAiEQNVbNvcHr/QmPfdrsdnxsDPQ6LTLSkv= G/t0+D2VKDt9esw8IXHpVcQzAFoo/Wrl3r9f5p06a1uV5yYgKShyd0ap9KOP6aklTvjt/6fmzM1= 0CYnIc6UotUEXX8dEBQXuFaV/vLtDx4G8XHxXj+/7vte/HWmnXQaNS448YpGD92BADg9bc+wolf= 8zFh+ky8s/CfSE0y4tWla7BrXw4uyO6DJx78Ewzxsc22++CT83AyrwCvzn4YLy58F/2zM3HXbVP= x3KsrUGez4/m//xVpKYn48tudWP3JRiQmxOOJh+5ERloyZv5tDkpKy/GPWXdhzuJVGD64P2bdc1= urOnp1T/e6/vZdB/HGO5/g/MwecLndnpq8Lduors7m9Tl9s2033vtoPQRBwGMzb8fAflmYdPP9y= EhLwXuLnvZMBa59bx7iYqO97uOex17C2ZJyTLt6HLbvOog35/wdO/cc8lqjr9egPSpHlV/LtTTp= ijF4+Kn5qDJXI8EQ12Y/+eojAK366ZGnF/jsI2/7eGbucr/7qLP95HL58Q+lBafThW0/HcDllww= DAJ/HZlO+jj9vzzvBEIdnX30LLpcLN/5uAkYM7q/gfi5utz9D9Tzkra+em/+2z9fan3PRwZ+P+7= 29pqQeP+jA+Sy0jh//BeXNRrUuwWvriNMFZ/Hp+q/x+kuP4x8P34UFSz/AybwCAMCjM2+H0RCHr= z55A726p+PX/CIYDXH4YOkLSDDE4fCRk622N2/2Q3CLImx2Oxa/9DhyjuZi1/4cvPzU/Rg0IBv7= Dh1FXn4RiksrsGL+P3Dl5aPx3kefAQDmPv0AbHYHRBFYOvcJ7Nh1EGZLTas6vK1fWm7Cex99hoU= vPIIZN13jeQ6+9tXI23M6mVeAzd/9hCWv/B9umTYRm7/7EQCwfN6TnvUev2+G5yTgax+vPf8I7A= 4Hrho/BsvmPYHyyiqvNbb1GrRH5TB7be1JTqwfadVYa9vtJ1+vu7d+8tVHvvbhbx9J6SeXy+W1e= bN05aeYMH0mJt/yALb9dMBzv69js5Gv48/X895/+Bj+Z/QQPDXrLpwuKFJ4P5e00fwjx3nIV1+1= 9Vq3dy5a/PbHHdpeII8fX8dQ6B8//gvKiLSu439ot/LTvhyMGTkIRkMcjIY4TP7tWOw/fAznZ/Z= stWz/7EykpSTiw/98gR27DmLsyMGtltFqNFAJAgYNqJ9ezs46D/3O742Y6Cj06JYKp9OJnCMnse= rjDZ43HzSe1LVaDfQ6LYZc+BsAQFpqMhwOJ6Kj9c324W39nXsO4crLRiElyYiUJCOy+/TyuWx7z= 2n/4WO48vJRiI2JxlXjx+Cq8WMAAElN1o2NiYIhPq7Nfei0Gui0Ws/IzleNHXkNWvInNL0pr6xq= 9pza6idfr7u3fqquqfXaR7724W8fSeknp9Ppd7/cM+MG3HDNFXA4nfjhx/2e+30dm43aqtvb875= 9+tVY+a/1AIBJV1yi6H4WUeqzP/39s16O85CvvmrvtW6q5fqx0VH4ce/hDm8vEMePr74J9eOnI4= ISpHa7XfI2RAAVledOxkmJBqjV3gfQv54+g9ff+hfuuHEKRFH0a/uCgFbLutxuzH78L7hk5KBO1= ext/Q/XfgF3k+kFQRD82pe35+R2u2Gptkqqx5vqGqvXGjvyGrTk6xiIbme9TVu2Y9TQgYjS69p9= Dr5e90D0k7vFlJCvPoKEfurMvxOtRtOh6ai26vbVty89OROfb9mOR55+DQuem4Wi4jJF9nNdG93= b3nHYmX0G6jwEH33l6MAfXi3X/+8X3yMlydjh7QXi+InS64J2PuuKf6f+CMrUrt1u99o6YthF/b= Dpmx345XgeLNVW7Nr3M0YOGQAAECCgts6GOlv9Nnfty8GgAX3Rt08vlFWYYHc44HS6UGkyo8pcD= QAwVVngdLlQY62D2+1GpcmCSpMFbreISpMFFSYz+mdn4v1/b0TBmRLUWOvw7bY9AIAqczVq62yo= rbPBbnfAUl0Dk9nSqo4Bv+nTav1+5/fGZ19sRV5+EUxVFlRZauB0Or0u25S35zSgXxY++e9m5J8= pbraORqNGWXklyipM+OXYr7DW1rW5j0qTpdk/Il81tvUatMfhcHhtLdVYa+FwOFFSVoG33l+Hb7= btwZ23Xud5vK1+8tZHALz2k68+8rUPf/uovWO1LR35d1Jns3n+v8pcjff//TlEUfR5bPpTt7fn/= eOewyg8W4qpk8chLSURJWUViu3nOofv5i85zkOiKHrtq7Ze6/bORVZrbYe2F8jjx1ffhPrx0xHq= h2Y99ozREOvHov579/vTXq/9zBjb/HNUbrcbE2+8D5bqGmz46gdkZ52HXt3TAQBJRgOMCXFYsPQ= DfPntTtx6/VW4sH9fAIBKpcKRE3nYuHkbxo4ajLi4GKxYvQ5lFSb0y87EDz/tR1FxGb7eugtfff= cjpk4eh9nzVuBsSTn2HjqKouIyfPPDbny9dRfSUxOxfPVaHMg5jisvH43UlCTMW7IaO3cfxJSJl= yLBEIfHZi9CSVkFDh85icNHTuJAznF8s20Pbr1hUrM6uqWnQASard+vb2/U2exY/PbHcDicMFWZ= 8cF/NuHeP/4egNBqX420Om2r5zR18jioBAHzl67BgZxjuG7S5YiLjYZGo0aVpRrLV63F8CH9se/= QUWzY/APuvm1qq3oSDHGY9c8FKCs34WReAcaPHYGMtGSfNRoT4r2+Bu0xfTYHLpe7VYufUv9u3M= efXYTvtu/F3oNHsObTTdiydRcSDHF49K+3N5tqSUpM8PocfPXRJSMHo3t6Ctxud7N+MhrivPbR9= VPGe93H7Hkr/Oqjm6ZORFJigs9jtS07duzw+u9k9OjRnmWenrMMm7bswP7Dx7D6k41Y/clGfPzf= zRgxuD8u6t/X57F587SJANBm3clenrdarcLZ4nI8+eISDLnwNxg3dgR0emX2c+WR2XC64LXFZz8= TsuehYYMuwAXZma366vkF7/h8rVvW0vJcdNO0iTDEx/m9vUaBOH4EQfD7fBZKx48/qixWvDZ/7m= whr6BE7N0jVdLGiIiIIs2pwlJk9kwT+BWBREREEjBIiYiIJGCQEhERScAgJSIikoBBSkREJAGDl= IiISAIGKRERkQQMUiIiIgkYpERERBIwSImIiCRgkBIREUnAICUiIpKAQUpERCQBg5SIiEgCBikR= EZEEDFIiIiIJGKREREQSMEiJiIgkYJASERFJoAGAU4WlctdBRESkSP8PQCUGaQPVAL8AAAAASUV= ORK5CYII=3D" width=3D"466" height=3D"174" alt=3D"" />En cuanto a la formaci=C3=B3n docente en competencias di= gitales representado en la Figura 2= , se identific=C3=B3 que 12 de los encuestados que representa = el 60% de los docentes consider=C3=B3 que la instituci=C3=B3n s=C3=AD propo= rciona capacitaciones, mientras que 8 de ellos que representa un 40% manife= st=C3=B3 que estas capacitaciones resultan insuficientes, lo que evidenci= =C3=B3 una percepci=C3=B3n heterog=C3=A9nea en este =C3=A1mbito seg=C3=BAn = los encuestados.Figura 2El liderazgo directivo fomenta una cultura organizac= ional orientada a la transformaci=C3=B3n digital y la experimentaci=C3=B3n = pedag=C3=B3gica<img src=3D"data:im= age/png;base64,iVBORw0KGgoAAAANSUhEUgAAAX4AAACmCAYAAADdwOQKAAAABHNCSVQICAgI= fAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAHLFJREFUeJzt3Xl8VNWhB/DfnS3bZDLZNyGARAS= VVeABbQGLCOizUIpWfaiFvmpFq2j1tS5VqhWLEURQEVBZhCqLxA1FEEU2MewQ9iVAQkLIMmuS2e= 59f0wyZJkJEzIr8/t+PufzyczdzuTM/O7JuTdzhKLicglERBQxFACQk50a7HoQEVEAnCm5CFmwK= 0FERIHF4CciijAMfiKiCMPgJyKKMAx+IqIIw+AnIoowDH4iogjD4CciijAMfiKiCMPgJyKKMAx+= IqIIw+AnIoowDH4iogjD4CciijAMfiKiCMPgJyKKMAx+IqIIw+AnIoowDH4iogjD4CciijAMfiK= iCMPgJyKKMAx+IqIIw+AnIoowDH4iogjD4CciijAMfiKiCMPgJyKKMAx+IqIIw+AnIoowDH4iog= jD4CciijAMfiKiCMPgJyKKMAx+IqIIw+AnIoowDH4iogjD4Ceql5+fj6nLjwe7GkR+pwh2BYgCJ= T8//7LrSACe8CL837w310e1Igo8Bj9dldasWeNxWZXehA3bCmG3O3DrkBuRmqQBANRZbCjamg+r= qQodBv43ohNSL21zai8SO/eEIDj/SH582aWTw+z7eBKg8CIUFZdLOdmpXqxKFNpaC/sGoihh1bq= f8av+10Mhl+G77YWYMGoAZDIZDp0owaGaNEQnpkF3+gCybh4FADCXn4UiJg5R8cle1WMOTwQUws= 6UXGSPn8Lfp59+6vW6ZRU6qJQKpCc7e/nquGicL9chOz0RkiRBAiCJcP4sAQ6bBbYaA2JTO0KSv= DvGox85/xqY+z88AVBoYvBT2GpL4Deo0pmQEB/jepwYHwu9sQbZ6Yno0iEVBZtPofrUHmT2vx0S= AEPxEWg63AAvM7+JKfUngLd5AqAQw+CnsHMlgd/AYrMjOkrpeiyTyVBrsQIAoqNUyB483rWspro= MqoR0CArFFQV/g0fqTwDv8ARAIYLBT2Fj9erV7d5HlFKBmloLpPpxG6vNjpjoGNfjhuEc0W5HXf= UFaDv3gsVQhdKdX0IZo0F6v9GQK6Ou6Nh/Xuo8Abw7kScACi7ex09hwRehDwCJCXGo0ptdj3XGG= iRr1a7HUn0xlhyB+prukABUn9qD1JuGIyY1B8bzx1zrXGl5eOlxPLyU/y9AwcMeP4W0VatW+XR/= aUnxqKm14kKFHoIAmMx1SE2Kb9LjtxorIY/RQKZQOf8CkCRIEJzDPQ6H1xd5L+ehJcfx3v3s/VP= gscdPIUufN8Hn+5TJZBg+sDs27jiETQVHMWLwDVDI5a7lDklEzcUziE7tCBGACCC+Sx9UHPge5v= PHEZt1net5X5T/XcKePwUe7+OnkKR//Xeun7/tdHfAjruupnfAjtXcwgfY+yf/O1NykT1+Cj361= 8c3GRUfWfRxwI7d3vH79pTJi9n7p8Bg8FNIMbz+Wwj1I+qNS6C0PHJgy6TFJwL2WilyMfgpJBhm= jINhxjjn1VU35bbTy+v/m9bfxWMVAlb+sIjhT/7F4KegM8wY69VgyKii5X6vSzCHehqXBxn+5Ec= Mfgoqw4zftCkSRxUt82uPX5QQMuX+Dxn+5B8Mfgoaw7/vvLKxED/yZa9dFCXoD/+IsvXzUFmwBv= Y6k2uZ1VSJi1uWoXzTYlj15a7n7dY6VBasQfn3H8BqKMfERuGf//UPEEXRr6+fIgODn4LoyiJ1d= NFHIVYj98VSdQ5RGV2RMnwSZDHxMB7ZXH9CEKHf+zXib7wFCX1GQ7//W4iS6Nym7DhUKZ2g6XUb= zKd2QQLwPx+ewJ4DR9Hnpm6QyfiRpfbju4iCwvDaHe26Ajr69NKQv7irSu4IpTYLglyFuC4DUHf= hpPM/g6tLISiioUzIhCI+DbIYNayVJfXb1ddBvFQfh82Clz89jJxrMoPdbHSVYPBTwBleu91HfW= rf89fFWkEVB5kyyjmcY6yALE7rWiaPTYK9RgcJgCojF9aLp2A4sA4xnftBAlBXcgRRWdf75fVSZ= GLwU8D56q7324uWhHSPv3Gxm6oQndMHkgSIdisEZfSlSxaCHKKlBpIECMoYJPQfj6Shk6HQpMOq= K4VckwbIFLjnfV7sJd9g8FNAGaeP9mmi3lG0xLVvi9WGPYfPovBESYvj6ow1+GzjXqz+dhcqdSb= X83UWG9ZtLcTKdTtRqTM16aXXnNnjGntv93h/+SlEdejl7P0rogCH/dJFYIcVUKhaXhx22GHTl0= OhzYTdVImqLYsx5s95MNfUBqy96OrE4KeAMU4f5ZeBlDuKFkOSJBw/U47DJ8/D4RCb9OIdDhE//= HwU/9WrC4YN6IYfdx6DKDrXKSqpQHaaFr/sl4sDx4pdt1JaKs5CkdQREmTtvi2zruwEVNk9ALkS= ogQI6mTYjJWu5Q5zNWTqlJbbnT8CZUZ3iBJQU7QHsd1vgSI5B5u27w52U1KY49cyUwD591bEG7p= mQaWUo85ia/J8eZUBKqUCaUnxAIC42CiUVRiQmZrgWsd5l6jzyyFEuwWOWgMUyR3bfSXBVnkO8o= QMCNFqOCw1kGy1UGgzIVnMsOnKAAEQa42QazObHMthqoQQHQ9BeekvgYb6zdt0HmN+3c6KUURjj= 58CwvjqrX79noP/LvrQ9Z36AJr0+Kv1ZsTHRbkeJ8RFw2CqhSRJyMlKwrmyKmzedQw9umZCkiRY= Sw5DmdGt3dcLLCWFMO9cBcOmBdCtmwX9D/MBRRQkCIi58TaYD36DmsINiO01BhDkl7YVHbBVFDl= PPPXPRXXsjZrDG2G7cAyKtOvwuwX8Qje6cuzxk98ZXx0RkOPceeZDzBRub/G81e7wOM9ulEqJ24= bc4FpmLy2DXJMOQd7+j4YqqwdUWT3cLlMkpEEz5AH3GwoyROX0bfKUXJ2M+MET210nIrDHT4Hhr= 5skW5Y+FT+26HlHKRWw2x2uxza7A0qFvMV6NpsdDv0FyBPSYTdWwrB1Ccy78iHa6vz6NRFXWsbP= PxbshqUwxR4/+ZXpX7dACOgRLwVjA406GqdLKlzP6U216JiZ2GQdADhVXAF5el/nMM3ZPYi+fhg= cxgpYy45BlX1jQF8FkT+xx09+FrjefsMl0Bt1BU16xqmJatTW2XCxyoiKaiPMNRakJKqbXgcwmB= EXo4KgUDpPCJJUv0sJksMe9N69pzJu3pFgNzCFIfb4yb/8/KVqjW2oTMDbxdkAgPt3fgax352uZ= YN7d8HWvSchl8nwy35dIRMEV49fkiSUXtTj+s4ZQP0t8sqOvWE58DWgiEJMzzEBew1EgcDgJ78x= vTI0oMcbkazDiGSd6/HqRsuStXG4c1hPt9sJguAM/fqTAADIYhMRM/Be1zrNh4WIwhmHesiPAj3= M07SMP/d+0IdiAlF+886hYDc0hRn2+MkvTC//MthVAAD87tz7WHnNJK/XZ8+eIgF7/OQnwe3tNy= 4Tir3v+Yej5VUPBbsKFGbY4ye/ENr9ZQfBES7h/3F107A3vzwEcS9sDVp9KLww+MnnzP8cHOwqt= HB38UJ8nD35suuFcvB/Us2ePfkGg5/8IDTD8/clC/GfrMuHf6j4pPpPwa4CXaUY/OQHoRn8AHDP= +YVYnuk5/IPd41+hY9iT/zH4yfdCeLgElwn3YAT/Sh+FvXnaQMS9uMMn+6KrG4Of/CC0g/++0oV= YlvlHt8sCFfyr9OzZU/Aw+MmnzC/1D3YVvHLf+QX4yEP4+8sq3f8G9HhEnjD4ycdCu7ffmLveva= 97/Kv1DHsKPQx+8qlwun///rIFWJzetNfvi+BfY2DYU2hj8JNvhfiF3eYeKFuARY3C/0qDP59hT= 2GEwU8+5t8J1f3hwQvzsSi97Rdb8w3h8z8BRI0x+MnHwqvH36Dxd/O35jMjw57CH4OffCvMhnoa= /OHCe/gg7U9ug/9zhj1dZRj85GPhGfwAMKn8PaxRDwAAfGFi2NPVi8FPvhWmPf4GXxi9/+5+onD= F4CefCqfbOYkiFSdiIR8L/sQrkVxqX+gR7DcAhQH2+Mm3wnyohygSMPjJxxj8wRTzypFgV4HCAI= d6iIgiDHv85FPBnsiEiC6PPX4iogjDHj/5VOy/jsL8bLdgV4OIWsHgJz/gcA9RKONQD9FVIu7VY= 8GuAoUJ9vjJ53iBlyi0scdPRBRhGPzkc+rpx4NdBSJqBYd6yC843BNY8a+dCHYVKIywx09EFGHY= 4ye/iH/tBAz/1zXY1SAiNxj85Ecc7gkEzb9PBrsKFGY41EN+w0AiCk3s8ZNf8RqvfyXM4MmV2o7= BT37G5CcKNQx+8quEGaege7pLsKtBRI0w+CkA2Ov3B+3rp4NdBQpTvLhLfseA8j3+Tqk92OOngO= BFXqLQwR4/BURi3un6IR+W9hbn75LoyjH4KWAS84qCXQUi4lAPBRqHfNon6Q2ePKn92OOngHIGV= /CHS8KxMPTJVxj8FHBJb5yBJIGljYXIVxj8FBTJM88Euwphhb8v8iWO8VMQsRvrjeSZZ4NdBbrK= sMdPQZM882zQh09CvTD0yR8Y/BRUKbPOBv2iaagW5++GyPc41ENBlzLrHC4+0cGrdS2SHI+V3gq= TpHI9NzlhL36tdoZkiS0Ob1f3g1WU49GkXeikMgAATA4l5lb3RZldjanJBchRGlzbrzN1xq1xpy= ETfP7Srljqm+eCXQW6iglFxeVSTnZqsOtB5FX4H7doES+3IV1ugiAIWKbvge5RFegbXQ6HJOD5i= 7/CJO0+qAQR71b1watpmyATgI3mjrCIcnRR6fGdOQePJO0BABysS4ZWbsE1SlMAXqF3GPrkT2dK= LnKoh0KHM/BaH/7IjapGhsIEQQAkScS+ujT0UF0EIOGENQFxghW5qmrkKPVIVtTisCUZgOS6HVI= EIEIAIKFWlKHCEYNrlMagD+s0FIY+BQKDn0JK6pvFSH2z2KsLn+dsCeiqqkKUIEKSgLNWDdIVJt= fyLLkRF+xxkCRgQMx57LZkYF51b4xWn4AkAVvM12BQdEnQL+A2lNQ3i4P966cIwTF+Cklps4tR/= vg1ra5TaEnBgOhS1+MaSYl4mdX1WA4RetF5LUAts+HZ5G2uZSesWuSoDFDJRL/Uvy3SZjPwKbDY= 46eQlTa7GJIkeSwHLCnopqpwPY4TrLBKctfjOkmBGMHWYjuLQ8ApqxZdlVUotsbh6fLhmFExEGa= HvNXj+aMw9CkYGPwU0tLfKkH6WyUtnjc4VEiW1yJKcLiey1YYcc6mcT0udcSjg8LQYttttddgSI= xzLH1dzbX4g2Yfbooqx466LL+9juY8vS6iQGDwU1hoHpKHLKno32iYBwByVVXQOaJx0qrFKWsCK= u0x6KqqarJOsV2NFEUtYmV2APXfgVN/G6dNkvv7ZQBuXgtRoF3Vt3MuXbkWS1Z81eL5uNgY5C/O= 89n+38t7Fl1ystu9P1+YPf8/+HL9Fix79xWkpSQGuzputbeOZY9lYanhJvw+/iCUQtOvfTht1eJ= dfT+oBAce0u5u0uMXJeDbmmsxKu6k67kSuxpzqwcgVmbD49od0Mit8JeZqX/DngNHAQByuQxJWg= 16dOuCcWOG44ZuoT0hfTi8r8g7Z0ouXt0XdzXxcVixYDoStRo8+JdpeH7qJHTIzsCKz9Z7tf2WH= Xvxi4G9PS6fOGEMDh3z/2xIl6tHY4//6R4cPh7aX9/b3jpmzDmPp+tPAM11VukwI/U7t9vJBDQJ= fQDIVpgwPXXjFdfFGxlzzgMAZgB4a+EnSEtJxLgxw1GtM+DzdT9i6gszkffSE+jZo6tf69Ee4fC= +Iu9d1UM9Qwf1RaJW0+S5KJUSY0cPgyi2/gVhJnMtlq3+5rLHUCn9e+70th6NRamUfquPr/iijh= lzzrtKsO+/d1cu1a2p+LhYRKmUyEhLxp8mjsPIYf+F95flt/v34W/h8L4i74Rtj//PS497XPbux= FwAgDYh3u3yeHWs6+dN23Zj4bJ8KBRy3H/X7Rg+5GYAwJyFH+PE6XO4dcIUfDD7H0hN0uKNectQ= sKcQ1+d2xrOP/wGa+Lgm+338uTycLCrGG9Om4tXZH6J7bidMvm8sXn5jAeosVrzy90eQlpKIb3/= 4CUtXrkViQjyefWISMtKSMeVvM1B+sRLPPzkZM+YuQb9e3fHkw/e1qEeHrHS3228r2I+3P1iJaz= tlwyFeukXR3boN6uosbl/T91t3YtHHX0IQBDw9ZSJu6NYFo37/GDLSUrDorRfx4oz3sK1gP9Ysy= oM6LsbtMR5+ejrKyisxbswwbCvYj3dn/B0/7Trgto6e2qAtMuY4x/tLH81s87a+or6mT5PHxtfG= AADi/7a21e1G3TIIU1+YCb3BhASNGmil3Ty1GYAW7fbUi7M8tpm7Y7z0+nyv2ww+ajcKjrDt8dc= 6BI/FW2eLy7D6y+8wZ/ozeH7qZMyatxwni5y31/11ykRoNWqsX/k2OmSl4/S5Umg1aiyf9y8kaN= Q4eORki/3lTXsCoiTBYrVi7vRnUHj0FAr2FuK1Fx5Dzx652HPgKIrOleLCxSosmPk8RgwdiEUff= wEAeP3Fv8BitUGSgHmvP4vtBfthMJpb1MPd9hcrdVj08ReY/a+n8MDdd7heg6djNXD3mk4WFWPD= pp/xzr//D/eMG4kNm3YAAObnPefa7plHH3CdPD0d481XnoLVZsNtwwfhvbxnUVmtd1vH1trgSmT= OLXWVQMqcWwqZTe+2XE5yYgIAwFxTC1ym3Ty9D921m6c283QMb9sMfmg3Cqyw7fHXOrxY6TJ+3l= OIQf17QqtRQ6tRY/Svh2DvwWO4tlPLfxzqntsJaSmJ+M+n67C9YD+G9O/VYh2lQgGZIKBnD+dfH= LldOqLbtTmIjYlGdmYq7HY7Co+cxJIVX7kuOjd86JVKBaJUSvS+8ToAQFpqMmw2O2Jiopocw932= P+06gBG/GoCUJC1SkrTI7dzB47qXe017Dx7DiKEDEBcbg9uGD8JtwwcBAJIabRsXGw1NvLrVY6i= UCqiUSldP1VMd29IGbeUu/M9PyWj3frPeLnP7vGC9fMi7U1nt3K7hd9xau3l6H7prN5O51rVd4z= bzdAxv2wx+bjfyv7ANfqvN3u59SACqqi/d9ZGUqIFc7v6PoNNnz2POwk9w/123Q/JyHjzn98k0X= dchipj2zEMY3L/nFdXZ3fb/WbMOYqM/wwVB8OpY7l6TKIowmmraVR93TOYat3VsSxv4gqfQ9gWH= re6Ktvtm4zYM6HMDoqOc/2Xc2u/U0/vQF+0mNhvK8dRmCEK7kW+FbUtZrVaPxVt9b+qGb77fjsP= Hi2A01aBgzyH0790DACBAQG2dBXUW5/4K9hSiZ4+u6Nq5AyqqdLDabLDbHajWGaA3OL/ZUac3wu= 5wwFxTB1EUUa0zolpnhChKqNYZUaUzoHtuJ3y0ai2Kz5fDXFOHH7buAgDoDSbU1llQW2eB1WqD0= WSGzmBsUY8e13VusX23a3PwxbrNKDpXCp3eCL3RDLvd7nbdxty9ph7dumDl5xtw7vyFJtsoFHJU= VFajokqHw8dOo6a2rtVjVOuMsNkvnZw91bG1Ngg3NpvNbWnOXFMLm82O8ooqLPwoH99v3YVJ997= pWt5au7lrMwBu281Tm3k6hrdthst8dij0yZ948umXtJo4L1YNLYs2n4PD4XBb7h986TY/URQx8q= 5HYTSZ8dX6Lcjt0hEdstIBAElaDbQJasyatxzf/vAT7v3tbbixu/OWOplMhiMnirB2w1YMGdALa= nUsFizNR0WVDt1yO2HLz3tReqEC320uwPpNOzB29DBMy1uAsvJK7D5wFKUXKvD9lp34bnMB0lMT= MX/pGuwrPI4RQwciNSUJee8sxU879+P2kb9AgkaNp6e9hfKKKhw8chIHj5zEvsLj+H7rLtw7flS= TemSmp0ACmmzfrWsO6ixWzH1/BWw2O3R6A5Z/+g3+/ODvAAgtjtVAqVK2eE1jRw+DTBAwc94y7C= s8hjtHDYU6LgYKhRx6ownzl6xBv97dsefAUXy1YQv+eN/YFvVJ0Kjx5D9moaJSh5NFxRg+5GZkp= CV7rKM2Id5tG4Qb/Zevw+EQWxT1mKcAAM/88y1s2rYbu/cfwbLV32Dj5gIkaNT46yMTmwyRJCUm= uP2dwkObDe7fC1npKRBFsUm7aTVqt23229uHuz3GtLwFXrXZ3WNHIikxweNnh0Kb3lhzdf8DFxE= RNcXv4yciikAMfiKiCMPgJyKKMAx+IqIIw+AnIoowDH4iogjD4CciijAMfiKiCMPgJyKKMAx+Iq= IIw+AnIoowYfu1zN5omHWouRee/CN+NaiP2208CbfJpsOtvpFg6cq1ru+/bywuNgb5i/N8tv/38= p5Fl5zsdu8vmMLt/Rtu9b2qg3/aMw9hwUf5SNJqMP6OW4D6SS9OnDrX5n2F22TT4VbfSKCJj8OK= BdORqNXgwb9Mw/NTJ6FDdgZWfLbeq+237NiLXwzs7XH5xAljcOjYaR/W+Mrr0l7h9v4Nt/qGbfD= n53uenHrs2LEelyUnJiC5X4LH5a0Jt8mmw62+YW/7CPfPD9oAABg6qG+LeaCjVEqMHT0MoihBJv= M8bajJXItlq7+5bNiqlP7/SHtbl/YKt/dvONU3bIPfbm/7DFx2uwNbf96HoYP7AoDHCc4b8zSJO= dxMVp2gUeOfbyyEw+HAXb+5FTf36g60YVJzTo4d7i60urR56DdoPBeupzaas/BjnDh9DrdOmIIP= Zv8DqUlaj5OuN3j8uTycLCrGG9Om4tXZH6J7bidMvm8sXn5jAeosVrzy90dcwxLN31svz3zf42e= jeV06ZKW32H7/oeNe768xft4CI2wv7nqahMXhaDkZ77zFq3HrhCkYfc9fsPXnfa7nPU1w3sDTJO= bwMFn13oPH8MuBvfHCk5NxtvjSfK/eTmrOybHDXbmH4p3W2uivUyZCq1Fj/cq30SEr3eOk643lT= XsCoiTBYrVi7vRnUHj0FAr2FuK1Fx5Dzx652HPgKODhvdXaZ6N5XZpvP/f9FW3aXwN+3gInbHv8= 7gLek4cfGI/xd9wCm92OLTv2up73NMF5g9Ymm3Y3WfXECWOw+JMvAQCjbhnsWtfbSc05OXa48z7= k3WlLG3madL0xpUIBmSCgZ49cAEBul47odm0OYmOikZ2Z6vqr2d1763Kfjcaabx8XE40duw+2eX= /8vAVO2AZ/W+bWbaBUKNr051Zrk017mhB7+nNT8PXGbXjqxTcx6+UnER2l8tuk5pwcO7TUenhLx= ni5fVvayNOk660RBLhd1917y9aGodTm23++7kekJGnbvD9+3gIndGrSRhaLxWNprq7Rc3qDCR+t= +hqSJHmc4LxBa5NNu5useseugygpu4ixo4chLSUR5RVVQBsmNefk2OGtzua+eKu1NhIgoLbOgjq= L8+zi7j1ltztQrTNAbzABAHR6I+wOB8w1dRBFEdU6I6p1RoiihGqdEVU6AyRJcvveau2z0bwuzb= evqalt0/4a8PMWOGE72fr27ds9jvEPHDgQqL+P/5uN27H34DEsXbkWS1euxYrPN+DmXt1xU/euH= ic4//24kQDQ6mTTyW4mq5bLZSi7UInnXn0HvW+8DsOG3AxBELye1JyTY4c33ZFpsDvQosTnvuRa= RxRFjLzrURhNZny1fgtyu3REh6x0AECSVuOxjWQyGY6cKMLaDVsxZEAvqNWxLd5TpRcq8N3mAqz= ftANjRw/DtLwFKCuvxO4DR1F6oQLfb9mJ7zYXID01EfOXrsG+wuPo2/N6XJ/bqcV765VZH3j8bD= SvS2Z6SpPt7x43Epp4tdf7a8DPW2BwsnUiogjDydaJiCIQg5+IKMIw+ImIIgyDn4gowihQP9hPR= ESR4f8BwjSTDE3Js8oAAAAASUVORK5CYII=3D" width=3D"382" height=3D"166" alt=3D"= " />En relaci=C3=B3n con la articu= laci=C3=B3n entre la gesti=C3=B3n administrativa digital y las pr=C3=A1ctic= as pedag=C3=B3gicas representado en la Figura 3, 13 de los encuestados que representa al 65% de l= os docentes expres=C3=B3 acuerdo, mientras que 3 de los mismos que represen= ta un 35% indic=C3=B3 desacuerdo, lo que reflej=C3=B3 una integraci=C3=B3n = parcial de los procesos institucionales.Figura 3La instituci=C3=B3n provee pr= ogramas de formaci=C3=B3n continua en competencias digitales avanzadas y ge= sti=C3=B3n del conocimiento<img sr= c=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAbgAAACyCAYAAAAwJtphAAAA= BHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAH59JREFUeJzt3Xl8E2X+B/BP2vR= O0/uilLtggQWUS8BdQBFE/K2gAiqirrgKgqKo7Iq6ihcKFURQORXBIlA5PGBVUGTlrshZBNpKoQ= fQM22aNPf8/qANtE16Jp1k8nm/XsMrnc7xnZk8/fA8mSSy7NwCAURERBIjB4D28VFi10FEROQwF= /IK4SV2EURERM7AgCMiIkliwBERkSQx4IiISJIYcEREJEkMOCIikiQGHBERSRIDjoiIJIkBR0RE= ksSAIyIiSWLAERGRJMnFLoBIqrZt21Zn3h5tDyx6MFGUeog8DQOOqIVsBZk9AoBn12c0uNwHDEG= iFpNl5xYI/DYBoqapL9SycwvxS9ofiIsKxfCB3eHrI4e2Uo/vfjkGjSwYbW++G3IfXwCApjAH8o= Bg+ClC693f4kkMPKKmuJBXyIAjaoytW7c2ajltpR7bfjqCu2/ri/O5hdDpDejXsxOOn7kIpSIAR= 4qV8AkIhrJtV5gNemgKLkDZtmuTavmQYUfUoAt5hRyiJKpPY4OtWs7lEnRoE4mgAD8kto/Fhu0H= 0K9nJwCAxWKBBTKYBQEWASjLO4eQ9j1gaeJXDs/44toQ59KHGHZE9jDgiGxoarBVK6+oRFCgPwD= Az1cOo8kEo9GELu1isON/x1CBYsQPvBuaohwERLYFZF5oYr7VML0q7D5i0BHVwYAjuk5zg62aTC= aDt/e1d9+YLQIEAEGBfhh/x0Ds1PSE2aiHSaeFf3hbXD62C9qiPMT1HwP/kMhm7/epLzLwMUOOq= AYGHBGALVu2OGQ7ikA/lJZpIAgCdHoDAvx8IPf2giBc7acJAqDOOwdlQg/o1cUQBCC232iozh9D= TO8RLdr3tHVXe3OfTGbQEYEBR57OUcFWLSEuAkfSs/GXbgn4M6cA3Tq2gUwms/5eW5QH//C2gNe= 10AMAWMx1hiqLTu9F2Z9H0faWifALjQYAmPWVuLBzNQSLCWHdbkZ4t5th0mlw6fA38PKSI3bg3Z= haFXRTbxQQFRmG+FjeREaeiQFHHsvR4QYAgf6+GNCrEzb99xDiY8IwbECS9Xd6gwlGXQX8I+IhC= ICPIhIymRcuH/4W0X3HQKiVcBFJt0AwmSBU9fwAQH0pEx3umAaZtzdwXY8wLHEAjBoVtFeyoYi/= eofmgm8vQBHfFcsfZsCRZ2LAkcdxRrBdr0u7GHRpF1Nnvp+vHIr4btd6al4yRPS6FRFVP9q62US= 4brKYDCjPPg7BZIQioTu8ff2rFhIgCAIEyGDB1df8KvLPIbh9DwgAnlibgRUPc9iSPA8/i5I8ir= PDrSFCE6fr15HJfRE7aDy8A5W4cvgbmPRaCAAC23SFKuMwtJcyERDVAZVFOfC/7g5NAcA/1zb86= SlEUsMeHHmMzZs3i11CnWHIBpev+qd6PS8fPwTGdoGXjx8qcv6AsnNfePsrEPfXBwEAlqo7NH3D= 2qLw+C7oi/MQ2XcM/JSRePzzDKx6hD058hwMOJI8Vwi2agJkjViq7jq115MHR0FXnFdnviY/A0E= JPWCoKAEEIPKmO6HOPg7fXlfv0JzyeSYAYPUjXVp0HETugEOUJGmuFG6o6sE1ZYKNeWaTCerzx+= Ef1bnG/MqiXPiGVw1NXve2BMFirrONx9Zkin0qiJyOAUeS5WrhBgCWJkyqs/tRceEYruxNgUFbh= sqSfBSkfY3Cw1sgD42BPDTauqzRaIBJXwFvRRgsALwVkYDMC0VHvkFQ+942t/8oQ44kjh+2TJLk= iuEGAN+oe4tdQh2fP8rhSpKeC3mF7MGRNAnVt8673NT0YUpnTw9/xp4cSRMDjiTnq6++ErsEu5r= 6NoHWmiYz5EiCGHAkKa4cbnCBIKtveoghRxLDtwmQZLh6uKEZ74MjouZjD44kITU11QVeX2vE5A= I9tfqmBz9lL46kgwFHbi81NVXsEhpN7BtKGpo+KXkJZcnjxT5NRA7BIUqiVuSqI5TLS/4tdglED= sceHLk1d+q9wQWGIG1Ny0v+VWdu2YJ7xT5VRC3GHhxRK3K1m0xWlbwodglETsOAI7e1adMmsUto= MlfJt9UlLzS4TPn8sVDO3tYq9RA5A4coiVqR6HdxCgJWlzzf6AHM8vl3i33KiJqNPThyS+7Ye0N= VwInls9KGe21EUsIeHLkddw03MX1W2vheW51e3Hv/J3b5RM3CHhxRKxKjB7em9PlW3yeRK2DAkd= sRc5ivpVqz9s9Vjgu28nfHQPnv7Q7bHlFrYMCRW9m4caPYJbRIawXcujL22ogYcEQSs071nNglE= LkEBhy5jY0bN8JiEbBzfzoG39gFwUH+uJhfjL1HMxATocRf+3aFr48c2ko9ftx/GnJvL9w+uAf8= fK8+zfMLVAgK9EOIIkC0Y3BmD+6LMucGm3reKAS/9INT90HkSAw4chuCIOBCfhF0eiMAQKPV4dD= JP3H3rTfiQn4x0jPz0OeGdsjKKUSfGxJQXlGJ3Msl6JQQBb3BhEqdAXFRIaK+huesfac4OdyI3B= EDjtxGhVYHH7k3Avx9AAB5BSq0iw1HoL8vOrWNwpadR9DnhnZA9RuqAViqAuV8biG6dYwVtX5nS= Cl7VuwSiFwW3wdHbmH9+i+Rd0WF+Jgw6zy1RofAAD8AgJ+vHCazGUajCZ3aRuHYmYu4mF+MhNhw= XCpUIS4qBDKZTMQjuMqRn0iSUjaz1T+aWf3OCLFPIVGjsQdHbiHncgnaxYXXmCeTyeDtfe3/aCa= zBQKAwABfjL3tJgCAwWhCpc6ImIgQ7P09A5cKy3DbzUkIDwlq9WOAA4coN5Sz50bUEAYcuYWT53= Jxpbjc+vPFS4dxc+/OqNDoAAB6gxEBfj7wkXvXWO98bhES28dApdZCEIBbB96A01n5uOWmxFY/B= kfYUD5T7BKI3AYDjtzCmKG9rI93HTiNm3t3hre3F7bvOYGkznG4kF+MLu1igOt6SZcKyxAToYRM= Vj3v6tCe2WwR7UaTlux3o9o1wq3i7eFQvLxb7DKIGsSAI5f35Zdf2pwf4OeDm7q3w7afjiIuKqR= Gr0xvMEGr0yMuKgQAEBocCC+ZDD8d/APDB9zQarXX1tyA26R+xuG1EEkdA47czohB3a2PO7WNQq= e2UXWW8fOVo3NCtPVnLy8ZBt/YpdVqtKepAZdawWAjai4GHJGLSlU/LXYJRG6NAUcuz50/XLm2x= hzLVxUMNiJHYMARtaKGAm6LhuFG5CgMOCIXsaVihtglEEkKA46oFdnqwW3VuF+wad4YhKD/HBC7= DKJ6MeDIpaWkpIhdgkPVDrhtmumi1UIkdQw4IpFs0zwldglEksaAI5cmpTsoUXU8X2sZbEStgQF= H1Iq+1kwTuwQij8GAI2ol92QuErsEIo/C74Mjl/bQQw859DvUxJruyVgICIK0JiIXxx4cUatgIB= C1NgYcuTx3v9HkvqyFYpdA5JEYcEROdF9mstglOEXgGyfELoGoQQw4Iie5L3OB2CUQeTQGHLk8t= x2idNe6iSSCAUfkBBMy54tdApHHY8CRy3O3HtzELIYbkStgwBE50MTM98QugYiq8I3e5PIeffRR= sUtoAsFDJiLXxx4cuQV3GKacmPmuR/zpD3z7rNglEDUKe3BEDjAx812xSyCiWtiDI7fgDj04InI= t7MGRW3jsscfELsGuiZnviv5hzq01cXiS3AkDjqgFODRJ5Lo4REluw9WGKSdmvucRN5UQuSsGHF= GzMd6IXBmHKMltTJkyRfTXoKonTxyaVMzLELsEoiZhD46oiTzl/W5E7o49OHIrjz/+OHtuIgh+N= 1PsEoiajD04oiZwsftciKge7MGR2/nnP/8pyn6v9t7E/gzI1p+U77H3Ru6JPThyS639lgG+JYDI= /bAHR27piSeeaOU9it+TEmMKmZ/VyueZyHHYgyO31Vq9uPuz+B1vRO6IPThyW08++aTT9zEx8z0= IAlx+MluAdy71RYHB3zqv3OSDSedvx33nR2NTSWeUGn3xr7xBeDV/ICpMcutyJ7XhyDcE1tlmyP= w/nX5+iZyJAUduzZkh5043lfymjYba4ltj3gFtLD5rtwupHXZgfFgm9mnicG9oFvoHXsZxXSQAA= RqzHOUWX8T5aGxsl8i9cYiS3J6zhird5S0BRSZ/+MlMCPXWAVW9L53FCz+Wt4Pe4oVhQblQeJtg= AWC2CBAgg7lquf2aWNyqyKlzrGHJ58U6HCKHYQ+O3N7UqVMdvk136b1ZBAHHKyPRK6Coxnx/LzN= ejzmIKG8t3ivoh3KzHIMD87G1vAvSNNG40b8Q6bow9PAvgpes5jYZbiQVDDiShKlTp3rkp5UcqY= xB/8DLNn8X5G3EwKAruD/sLPZUtEW4XI934/bhjbiDkMkElJn8ECPXYnlxT8zMG4qLBgXCkrNb/= RiInIUBR5Ixbdq0Fm/DXW4qqZ6+KeuEx3NHYsKFMUirjMNT+beh2OhXY5kEuRqVgrzGvP2aOAwI= vIwcQzAsgheejfwdP/eY45DrQOQq+BocUQ1u8sJblTdi91sfLyjsi3+EpSNcrrPOM1i88IO6Pfo= GXLEe22ldOJL8iuEts+DqK3IWAAKMRpMox0DkLOzBkaRMmzat2UOTEzLeFb1H1pIJ1z0+owvDew= X98U7BQHT0LUNH3zIIAqAxyVFi9kOcXANBANrK1fCGgPdNY3H3HUPFvnxEDiXLzi0Q2sdHiV0Hk= UN9/PHHTVrenV53c7SIhRfFLoHI4S7kFbIHR9L01FNPNbEHJ34PTIyJ4UZSxoAjyZo+fXqjlpuY= 6ZkfxRW5iOFG0saAI0mbPn16I94SIP772Vp7YriRJ2DAkeTNmDHD5nx3e0uAo6bIRTmtfg2IxMC= 3CZBHqA65pUuXXjfXvd4S4AhRH+SKXQJRq+FdlORxlixZ4nGvu0UvZrCRZ+FdlOSRnn76abFLaF= UMN/JUHKIkj1T9R79gZrzYpThV9OI8sUsgEg0Djjxa9OI8XHlGeiEX8yGDjYgBRx6vOgykEHQMN= qJrGHBEVarD4fLTbcQupVlil+SLXQKRS2HAEdVSHRTuEHQMNSL7GHBEdlSHx6UZcWKXUkfc0kti= l0Dk8hhwRA24PkzEDDuGGlHTMOCImqB2yDgz8BhoRC3DgCNqAVshlD89tknbaPPRZQdWRETVGHB= EDsbAInIN/KguIiKSJAYcERFJEgOOiIgkiQFHRESSxIAjIiJJYsAREZEkMeCIiEiSGHBERCRJDD= giIpIkBhwREUkSA46IiCSJAUdERJLEgCMiIkliwBERkSQx4IiISJIYcEREJEkMOCIikiR+o7dI1= qXuwNpN2+vMDwoMwLbPkx22/eXJc9CpfXyLt9dSi1d8ie927kXKJ28hOjJM7HJscsUaZ7/xIY6e= PAsA8Pb2QnioEt27dcK4O4ejR7dOYpdnlyueS/I87MGJRBkchE0r52Fn6keIj4vGJ/P/je9SPsC= 9d93a4Lp7Dx1rcJnJ4+9Evz7dHVRty2oBgJlPPIDOHdo6vZ6WcMUa5//nGfzfqL9hyqS78fXahV= j4xixER4bjuVcX4sTpTLHLs8sVzyV5HvbgnGBmSobN+YsnJVofDx10E0JDgmv83s/XB2NHD4PFI= sDLS2ZzGxWaSqRs/h63DOzTYB2+Ps69vE2pBVXH5+pas8ayBffanB/y4uY684KDAuHn64PY6Ag8= MXkcytUarE7ZhsVvv9AKlTaPO1xvkjYGnBNUmhtepna4VQtWBFof79n/O1albINc7o2HJ4zB8CH= 9sGTVBmSez8Ht46fj08X/QVR4KN5floK0o+m4IbEj5sz8B5TBQXW2O/PlZGRl5+L9uc/hncWfIS= mxA6ZMGos3318Jnd6At156CtGRYfjxl4NYl7oDYSHBmPPsY3hz4WoUFBbjlVlTMH/pWvTtnYRZU= ycBQJ1aEtrE1Fn/zwt5+OjTVHTuEA+zxVKjptrLxkZHWH+n0+ltHtfufb9hzYbvIJPJ8OL0yXj+= tUWIjY7Emg9fw2vzl2N/2glsXZMMRVCAzX28vmAFLhcUY9ydw7A/7QQ+mf8SDh45abdGW9fAUby= M5c1e945bB+G5VxeirLwCIUqFx59LIls4ROkElWaZzakpLuZexubvfsKSebPxynNTsGjZemRl5+= KF6ZMRqlRgZ+pHSGgTg/M5lxCqVGD9srcRolTg1Jksm9tLnvssLIIAvcGApfNmI/3sn0g7lo53X= 30avbon4ujJs8jOuYQrhSVYufAVjBg6EGs2fIsFrz0DvcEIQQCWLZiDA2knUK7WAECdWmqvv+zz= zViz4Vssfvt5PDLxLmRl51rrsbWv69k6rqzsXOzacxgfv/cvPDBuJHbtOYQVyS9b15k945Ea/0G= wtY8P3noeBqMRo4YPwvLkOSguLbNbo71r4ChexjKbU2NEhIUAADTaSp5LIjvYg3MCXSN6cA05fD= Qdg/r3QqhSgVClAqNvG4Jjp86hXdvYGsslJXZAdGQYvtzyAw6kncCQ/r1tbs9HLoeXTIZe3a8Ok= yZ2aodundsjMMAf8XFRMJlMSD+ThbWbtltvfokIC4GPjxx+vj7o07MrACA6KgJGo8nmPmqvHxjg= j0n33oHI8FBEhocisWOC3WWr/2DXd1zHTp3DiKEDEBQYgFHDB2HU8EGo0FRa1wkK9IcyWFHvPnx= 95PD18bH2cA4eOYkRfxtgs0Z718BRry21pAdXXHo1CMPDQvDT/w57/LkksoUB5wQGg6HF2xAAlJ= Re+wMYHqaEt3fdDvf5i/lYsmojHp4wBoIgNHr7MhnqLG+2WDB39pMY3L+XdZ7RZDvMbKm9/pdbf= 6ixvkwms7tsY47LYrFAXaFtdj3V27hehUZbY971NTb2GjSXwWC0OT+gEet+//N+DLixB/z9fHku= iezgM8wJDAaDzakpbvpLN3y/+wD+yMiGukKLtKOn0b9Pd8ggQ6VOD53+6vbSjqajV/cu6NIxAUU= lKhiMV/9omkxmlKrKUVZeAQBQlalhMpuh0epgsVhQqlKjVKWGxSKgVKVGiaocSYkd8MVXO5CbXw= CNVodf9h1BWXkFKnV6VOr0MBiMUFdooCpXA0CdWrp37VhjfV2lHt/+8Cuycy5BVaZGmVoDU1Xg1= V72l31Hahy/rePq3q0TUr/ZhZz8K9Z15HJvFBWXoqhEhT/OnYe2UlfvPkpV6hqh261ze7s12rsG= jmI0GmxOtmi0lTAaTSgoKsGqL7Zh974jeOzBv/NcEtXD+9lZL74eqqx7UwI132f/uwiz2VxnemR= IzfejWSwWjJwwA+oKDbbv3IvETu2Q0CYGABAeqkRoiAKLlq3Hj78cxIP3jELPpC7w8vLCmcxs7N= i1D0MG9IZCEYiV67ahqESFbokdsPfwMQzu3xubt/+MnXsOYeeeQxg7ehjmJq/E5YJi/H7yLC5dK= cLuvb/hp1/TEBMVhhXrtuJ4egZGDB2IqMhwJH+8Dgd/O4ExI2/BW4s+RUFRCU6dycKpM1k4np6B= 3fuO4P5xI+vUEhcTCQGwrj/pvtHw8/XF0tWbYDSaoCorx/ot32Pi2JGICAupseyYkbcgRHltSMz= H16fOcY0dPQxeMhkWLkvB8fRz+PsdQxGqVKBMXYEVa7eib58kHD15Ftt37cU9Y4Yj3MY+5iavRF= GxClnZuRg+pB9ioyOg0xts1hgeFmLzGjiK6tv5MJstdabgMdfujJz9xofYs/93/H7iDFI2f4+ff= 01DiFKBF56abB3es3WcnnYuiWorU2shy84tENrHR4ldCxERkcNcyCvkECUREUkTA46IiCSJAUdE= RJLEgCMiIkliwBERkSQx4IiISJIYcEREJEkMOCIikiQGHBERSRIDjoiIJIkBR0REksSvyxFJ9Tc= m1/bqrMfxt0E3Nmlbi1d8ie927kXKJ28hOjLMgVU6h7vVK6Z1qTus38F2vaDAAGz7PNlh21+ePA= ed2sc3Yg3X5W7PK3er1x0x4EQyd/aTWPnFNoSHKnHvXbcCVV9imflnTpO3NfOJB/BHRrYTqnQOd= 6tXTMrgIGxaOQ9hoUo8+sxcvPLcY0iIj8Wmr3c2uO7eQ8dwy8A+9S4zefydOH3uvAMrbn4tLeVu= zyt3q9cdcYjShUSEhWBg357NWtfP18fh9TiTu9UrlqGDbkJYqLLGPD9fH4wdPQwWi/0vuK3QVCJ= l8/eN2oevj3P/n9uUWlrK3Z5X7lavu2EPzgm2bt1qc/64cePsrmMymbHv8HEMHXwTAGD6v+ejoL= AYr8yagvlL16Jv7yTMmjqpxjr7007go09T0blDPMy1vl35x18OYl3qDoSFBGPOs48hRKnAG++vg= tlsxoS7b0e/3knQ6fR4f1kK0o6m44bEjpgz8x9QBl/9bsDd+37Dmg3fQSaT4cXpk/H8a4sQGx2J= NR++Zh1e3bomGYqgAJv7e33BClwuKMa4O4dhf9oJfDL/JRw8ctJuvXv2/45VKdsgl3vj4QljMHx= Iv2aefTdyYKjt+YP2WB+GhgTbXCRYEWh9bOvcLVm1AZnnc3D7+On4dPF/EBUeavdaX2/my8nIys= 7F+3OfwzuLP0NSYgdMmTQWb76/Ejq9AW+99BSiI8PqXO83F662+3ytXUtCm5g66584nVHj59joi= Ea1AdTTDmrvIzY6ApU6faPbQe020KNbJ9xx/9N224Gt/U19cV6j24FHtgEnYw/OCWx92anZbLa5= 7LLPN+P28dMx+oFnsO/wcev8Ba89A73BCEEAli2YgwNpJ1Cu1lh/X1iswpoN32Lx28/jkYl3ISs= 71/q77JxLuFJYgpULX8GIoQOxZsO3OHbqHP46sA9enTUFF3MvAQDO51xCqFKB9cveRohSgVNnsg= AAWdm52LXnMD5+7194YNxI7NpzCCuSX7Zuf/aMR2r8gbW1vw/eeh4GoxGjhg/C8uQ5KC4ts1vvx= dzL2PzdT1gybzZeeW4KFi1bX+P30nXFztR49s7dC9MnI1SpwM7Uj5DQJsbuta4tee6zsAgC9AYD= ls6bjfSzfyLtWDreffVp9OqeiKMnz9q83vU9X2vXUnv9pas31dkeGtEGUE87sFUjgEa3A1ttAID= ddmBvf41tB57bBpyLPTgnMJlMjV526iP34t67boXRZMLeQ8es83185PDz9UGfnl0BANFRETAar2= 334JGTGPG3AYgMD0VkeCgSOyZYf5d+JgtrN2233pwQERaCyePvxOcbvwMA3HHrYABAUmIHREeG4= cstP+BA2gkM6d8bqPojMGLoAAQFBmDU8EEYNXwQKjSV1u0HBfpDGayod3++PnL4+vggNjqiwXoP= H03HoP69EKpUIFSpwOjbhuDYqXPWb6yWroIWb8HeuWvXNrbGcvaudW0+cjm8ZDL06p4IAEjs1A7= dOrdHYIA/4uOiYDKZbF7vhp6v16u9flCAPw79fqrG9tCINoB6nle2agSAdvExjWoHttoAqr49vd= r17cDe/hrbDjy3DTgXA84JmhJw1Xzk8iYNSVRotLBcN7whk8msj80WC+bOfhKD+/eqsc68l6fjv= z/vx/OvfYBFb87CpStFWLJqIx6eMAaCcO31HIvFAnWFttG12NqfpdYQZH31CgBKSsutP4eHKeHt= Lf3BBYtQanN+U468sefu/MV8m9e6ITIZ6ixv63obm/Ccr73+Nz/8D5HhoXWer41h73llrw3Ex0U= 3qh04og00pV5PbQPOxjPoBAaDweZki06vtz4uK6/AF1/9F4IgoKy8ApU6PSp1ehgMRqgrNFCVq6= 3LduvcHt/+8Cuycy5BVaZGmVpjDdbuXTvii692IDe/ABqtDr/sO4JDR04h73Ihxo4ehujIMBQUl= SDtaDp6de+CLh0TUFSigsFovLp+t05I/WYXcvKvWNeXy71RVFyKohIV/jh3HtpKXb37K1Wpa/zR= q6/em/7SDd/vPoA/MrKhrtAi7ehp9O/T3UlXx3VUGmxPTWHv3MkgQ6VOD53+6gbtXWuTyYxSVTn= KyisAAKoyNUxmMzRaHSwWC0pVapSq1LBYBJSq1ChRlSMpsUOd613f87V2LbWfL1ptZZ3toao91N= cGUM/zytZzEkCj24GtNgDAbjuwt7/GtgNPbQPO5v3srBdfD1XWfbGZmu/QoUM2X4Pr1+9aD+21+= cvx/c8HcOzUOaxL3YF1qTuw6Ztd6Nc7CX9J6oIX536IgqISnDqThVNnsnA8PQO79x3B/eNGAgBi= oyOg0xuwdPUmGI0mqMrKsX7L95g4diQiwkIgAEj+eB0O/nYCY0beAm9vL1y+UoyX3/kYfXp2xbA= h/eDr54OV67ahqESFbokdsPfwMQzu3xttYiJhsViwcFkKjqefw9/vGIpQpQJl6gqsWLsVffsk4e= jJs9i+ay/uGTMc4Tb2Nzd5JYqKVcjKzsXwIf3qrTc8LAShIQosWrYeP/5yEA/eMwo9k7qIeAVbh= zpjLkwW1JkCO79eYzmLxYKRE2ZAXaHB9p17kdipHRLaxAAAwkOVNs+dl5cXzmRmY8eufRgyoDcU= ikCb13rz9p+xc88h7NxzCGNHD8Pc5JW4XFCM30+exaUrRdi99zf89GsaYqLCsGLdVhxPz8CIoQM= RFRle43q/tehTu8/X2rXExUTWeL5MHDcSymBFje2FKBUNtgHU0w6mPXofAFmdbVZotY1qB2NHD4= OXTFajDSiCAiCXe9tsB49PGlunDYQoFZj1n0WNagfTHr0PoSHBHtcGnKlMrYUsO7dAaB8fJXYtR= EREDnMhr5BDlEREJE0MOCIikiQGHBERSRIDjoiIJIkBR0REksSAIyIiSWLAERGRJDHgiIhIkhhw= REQkSQw4IiKSJAYcERFJEgOOiIgkSY6qD6UkIiKSkv8H1594tgI1NEEAAAAASUVORK5CYII=3D"= width=3D"440" height=3D"178" alt=3D"" />En cuanto a las entrevistas realizadas al personal directivo repre= sentado en la Figura 4= , se evidenci=C3=B3 que el 100% de los participantes afirm=C3=B3 que la ges= ti=C3=B3n digital se articula principalmente a trav=C3=A9s de procesos admi= nistrativos automatizados, asimismo, se identificaron limitaciones organiza= cionales, t=C3=A9cnicas y presupuestarias, entre las que destacaron la resi= stencia al cambio, la conectividad inestable y la falta de financiamiento p= ara la innovaci=C3=B3n.Figura 4<span= style=3D"font-style:italic">Existe una alineaci=C3=B3n efectiva entre las = plataformas de gesti=C3=B3n administrativa y las estrategias de innovaci=C3= =B3n did=C3=A1ctica en el aula<img= src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAADGCAYAAAD8H9aSA= AAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAIABJREFUeJzt3Xl4U2XePvD7= ZOuWpklXoC0UsCLIJgKKOAozDIo6M6CvK+L+ExVEROV9xx11xhmsILghoINCEUGEUWBwQBFlr8j= WagUKBVq6t2nTJc12fn/QRtomJT1NerLcn+t6LtqTs3zDc07uPs9pEyG/oFQEERFRB6SlJAoqAO= iVnCB3LUREFCBOFZYBABRyF0JERIGJAUJERJIwQIiISBIGCBERScIAISIiSRggREQkCQOEiIgkY= YAQEZEkDBAiIpKEAUJERJIwQIiISBKV3AUQ+Zv169cDALbXXwoAmH9XuswVEfknBgiFlOZw8ETz= 21TPXHnMo/XfYtBQiGGAUFC7UGBUVtdiy85s2O0O/HH0QCTE6gAA5kYr8neth8VUiZ5X/gnhMb+= 9Y3VF3kHE9hkMQWg5A3x+0DBMKBQwQCiorFu3zuN1HQ4RW3Zm45oRl0ClVOCb3Tm49fqRUCgUyD= tdAm1CL0RcPALlR/cjZfj1AIDa0tOISkiFAMVvQxQXZma2HLW8NZmBQsGHAUIBryOhcb7iciM0a= hW6xccAALRR4ThbakRKt1iI4rl0EEVAFEWIAOzWRlgaahCV2LO97HDpifMCZQHDhIIEA4QCltTg= aFZprIVeF+n83hAdiZraBgBA356J+PH7E6g8cQApI28EAFSfyYW+56WdrJphQsGDAUIBp7PB0cx= isyNM89sloFAo0NBoAQCEh2nQc/Qtzsfqq4oRpk+CoFJ1ePTRnhmZx7CQIUIBigFCAcNbwdEsTK= 1CfUOj83urzY7ICE2b9Rw2GxqMJYjtPQSNNZUoyNoAdaQOycMnQKkO63QdM5pGJAwSCjQMEPJ7X= 3zxhU/2a4iJwvHTJc77HVU1deidEv/b/Y+m9aoLcqFL6Q8RQMWJA+g2ZCzMxnJUFx6FIW2Q1+p5= vClI3maQUIBggJDf8lVwNEuK06G+wYLSihoAImrrzEhquqHerNFUAXWkDkp108hEFAEI57522H1= SF4OEAgUDhPySr8MDTfc8/jDqUmzdnQ2lQoHxVw+CSql0Pu5wOFBXcgqGvsPQNCiBoe9lOJu1CU= p1GHqMuMm53BemrzgXJO/czSAh/yTkF5SKvZITPFiVyPe6Ijg89W2996anOoshQv7kVGEZ0lISB= b6ZIvkNfwoPNN0D8Zc2bYVnb6dC1JU4hUWyW7t2rdwlBITmEHmXoxHyExyBkKwYHh3H0Qj5CwYI= ycbfw0Puaav22mMMEfIDDBCShb+HB+AHKXGB9thyhgjJi/dAqMt9/vnncpfgER/+hq7XPNoUIu9= P4X0R6nocgVCXCpTwCDSPcjRCMmCAUJcJtPDwg1mqDrVHGCLUxRgg1CUCLTyI6MIYIORzgRoeco= 8opLSpHIVQF2KAkE+tWbPm3Cf6BWCTPQ0ktqmfMESoazBAiNzwgyyQ3B5miFAXYICQz6xZs0buE= kIaQ4R8jQFCPsHwIAp+DBDyumAJD7mnobzR/h9HIeRDDBDyqtWrV8t+89trN9GDBEOEfIUBQuSG= KAZPe+hjhgh5HwOEvGb16tVyl0BEXYgBQl4RjOEh9/0Lb7cHOQohL+O78RK5JchdAJFf4wiEOu2= zzz6T/Ya3T5ofjBq83R74+LjcpwsFEY5AqFO2fr8PmV/thl4XibFX9EdkuAYA4HCIWLd1P6pq6h= ERrsHtE0ZCpVTA3GjFtn25qKltwLhRAxCn1zr3lXO8EAP69oAg8Cd/okAg5BeUir2SE+SugwJQS= VklzhaXIefwfuw5mAedNgJDLkkFAJw4U4aE2GhER4W32Cb3RBFsdgfiDVrknijCmJGXAAAKS6oQ= GaGBQRcly3NxZXPD5XKX4DP/uu8iuUugAHaqsAxpKYkCp7BIsoQ4A47+fBBqlRJJ8Tpoo8IAAHa= 7A4ePFqCgpAoNZovLbZt/vRQALFYbauvNfhUeRHRhDBCSTKEQIIoiyqtMKKmoQe+mkaxSqcAN1w= xCVEQYtu7+GVU1dc5teqfE43RRBbZn5WLgxckAgLzTpeibmijb83BH7vsVvmz3LeO9EOo83gMhy= VatWoXq2gas/+YAACA2JgoD+vYAAKhVSqR2M0AXFY5dB49jwu8GAQA0apXzawAoqahGrF4LpVIR= VH/9TRQKOAKhTonRRuDuP12JkYN641DumbaPR0dApVTAbne0ecxms6O8qhaJsdEw1tRj7Zb9+Hp= HNixWWxdVH9o4CqHOYoCQJKtWrXJ+HaZRY2B6MiLC1S7XVSoVLn+zKu9MmXPqKvt4Ia4a2hfJSQ= acKCjzYeWek3uaqSsaUWcwQKjTHA4RZ0uN6NUjvsUyURRxsqAc3RP0UChaBkhVTR20kWEI07SdR= XU1WpGF3K/uXdDu/RdHISQd74FQhzWPPgpKqvDN7p+hUauQ3isJlw3oCQAorzJh54E8qJQCeqck= 4JLe3VtsL4oiCkuqMDA9xbns0ot6YNveXGjUKvzhyv5d/Ixc40/oRO1jgFCHNd/sTk7U456/XNX= msTi9Fn8eO8TlNs0uvSi5xTJ9dCQmjRvmdn0i8j8MECI3GGFE7eM9EKIQN4X3QUgijkCoQz799F= O5S+gyHIEQtY8BQuQOE4SoXQwQ6pBQurkdOs8UmPzRcWQ+wDdYpI7hPRAiIpKEAUIeW7lypdwlE= JEf4RQWeSyUpq8QYlNYRFJwBEJERJIwQIjcaP7Qq1Bpd37IvwehjuEUFnks1KawiKh9DBDyyIoV= K+QuocsxLonaxwAhj3D0QUStMUCI3GBkErWPN9GJiEgSjkDII6E4hRV6z5ioYxggRO4wQYjaxSk= sIiKShCMQ8ginsIioNY5AiFyYWLZB7hKI/B5HIOSRUBqBTCr7Cgix50wkBQOEqMnNpf92fv2AYa= 6stXhCdDhQuycTjtoKCGFRiL76fghKldvHRLsN9Uc2Q6yvROTQP0EZneDcV+PpgwhLHSzjs6FAx= AAhAnBz6Xq5S+gwW+lxRF32ZygiYjx6zFr0C9TxvaDUjUDjyf2IHHz9ueUVp6GKTQUEzmhTxzBA= yCPBOp1zS+k6uUuQRLTbYc7fD03KQKgT+kIRFnnBx5q78Ny/575x2BohmmugjOspy/OgwMYfOSh= k3VL6RdMLact2vyEDoij6dYNCgajLJ0HQaFF3aANspvILPqZO6gtr2Qk0ZH8Nda/LIIoirGd/gS= qp32/bEnUAA4Q8cv/998v+ounNdkvJ54DocN0ChKAKgzohDREDxsH86/cXfExQRyDq8psR/bv7o= dIlwVZdDIUuyXnfhKijeOZQSLm19HO5S/A6ZZQBglIJ0W6HoFR69Jhot8FRUwpN6mDYaytRf3gj= lOE61NVPR1RkhAzPggIRRyAUMm4tWe1+1NHU7jXMl310JKkpVBAhePyYpSgXyqapq8bTBxB+yRg= o4npi++6f5O4mCiAcgZDHAnmO/LbSz+QuwetEhwhBEGEtPQGVIRWCQvDoMXtdBRTh0VCoNc1ro/= lRi8Xaxc+CAhkDhILabSWr5C7BJ+w1JTDnfgdBqYIqKR3qHoM8egyiA/aK09D0vMy5SNPzMpgPb= 0L/FD3GXHVDVz8VCmBCfkGp2Cs5wYNVKdQtXbpU7hI65PaSTzu0/r3x7/mslkDwxdR+cpdAAeJU= YRnSUhIFjkAo6NxRslLSdoE8RUckBwYIBZU7ilfIXQJRyOBvYZHHHnroIfl/26iddkfxcpd/GOh= JmxK/SO7/Xlmte+QSuUugAMQRCAW8O4s/6fQ+OH1F1HEMEOoQf3uhvavkY7lLIApZnMKiDnn44Y= flLsFpcvEyCKLY6XZ3fGD9dhmRv+AIhALO5OKPvLo/fxtVdbV/PzZA7hIoQDFAqMPkfMG928vhQ= UTScQqLOmzq1Kldfsy7i5fi7uKlABxebXcl/KvLnwtRsOAIhPze3UVL5C4haHH6ijqDAUKSTJ06= FYsW+f5vJ+4pWuzT/Yf6/Q+izmCAkF+6p8j34XRHYqbPj0EUzBggJJmvfnq/twvCg4Avp10qdwk= U4HgTnSR79NFHvb7Pe4ve8/qNcndN7rdekbsRdRZHIOQX7jv7bpce77ak4PycEE99NX2g3CVQEO= AIhDrl0Ucf7fRPwvedfbvLRh2/tdDF8CBv4QiEZHP/2YVyl0BEncARCHXaY4891uFRh5zhcWvSG= tnvP8jVOPogb2KAkFdMmzbN43XvP7uQN4+JggCnsKjL3Fd4btTBl3B5bHh8kNwlUJDhCIS8Ztq0= ae5vlBcukPxpgd5uck8jceRFwYIjEPK5+woX+M2o4/bua+UuQRYbZwyWuwQKQhyBkFdNnz69xaj= j3MiD5MTwIF/hCIR8wp9GHefjVA6R93AEQl73+OOPy12CS6E4fbXpiSFyl0BBjAFCPhH9j+Pt3t= A12ZRYXdkHG4ypbR470xiBp89cicdPjUaeWQtRFFFjU+KVs8Pw6Knf4UTTsua20ZgKu4M3kVtje= JCvMUDIZ3T/zIMowmXbZkrGf6p7wupQtFhucwiYXzoUD8X9jCeTDuHd0kGwO4A9td0wNKIc0xOO= 4EtjmnP9w3WxGBheAQGuj3N+CyUMD+oKvAdCPhUzNw/Vs/u0WX5TTD6iFBbU2DUt/jLkaGMMohR= WXBxuBADEqRvws9kAselXcB0i4DgXF6h3KFFmD8egyIoL1nFHjy9CJkX+M3Oo3CVQiOAIhHwuZu= 4J1yMCF8tONUaju6rO+X2yqg5F1khcGVmM/fWJeLdsIG7SnYQoAt+bemB05NkLjjxCJDeIuhxHI= NQl9G+cgPGZ3m4e/e0Vvl5UQau0OJcp4UCNXQ2t0ooXu+1zrnesMQa9w2qgUYT2O+u2xtEHdSUG= CHWZ1jeyxfP+MryZVrCg2qFxLjM7lNCrzC3WsTgUyGuMwXXRp3CmUYs3y4chUdmAJxIOIFJha3P= cO5PXhcQwZPOTl8ldAoUYTmFRlzFk5F9wCitZZcIpS7Tz+0KbFqkqU4t1fqhNxtURhRBFYJMpDQ= 8asjE4vAy76rqF7PQVw4PkwBEIdanYN/MBAJVP9Tpv6uq3V/mLw6pgtIfjeKMOAkSU28JxcVilc= 50CqxYJqnpEKq3nthQBoWkkYxWVIflWjQwPkgsDhGSx78ZP8d77mc7v/6Q7AQAQADwWexBvVwxF= mGDHzPifoIIIUQQcInCoIR43ROc7RxY3RJ/AW+WXI1Jhw6z4H9uMOCanru/S59WVGBwkNyG/oFT= slZwgdx0Uoipm9fTp/u9KCc4A+XrWMLlLoBB2qrAMaSmJAu+BkKzi5p326NdwpbZgxPAgf8EAId= nFzz/tk8/9CMbpK4YH+RPeAyG/ED//DACgbGaq1/YZbO9/9d+nLpe7BKIWGCDkVxLeOoPSJ1LkL= sOvMDjIX3EKi/xO4oICJC4o6NQ+7u75b6/VIyeGB/kzjkDIbyUuKEDJjGRJ2wb69NWWp4fLXQLR= BTFAyK8lLSwEAJTM6CF3KV2CwUGBhAFCASFp4VkAQPHjFw6SKb2+7IKKvIvBQYGIAUIBpdvb54K= kaHp3uUvxCgYHBTIGCAWk7u8UOb9uHSaBcP9j6zMj5C6BqNMYIBTwmsPk7LRuuCftK7nLcYuhQc= GGAUJBo8e7xdh63vfj3siSsRoGBgU/BggFrdYv4H+Yu8/tut7yzeyRPj8Gkb9ggFDIaO/F3dNwY= UAQ/YYBQsRgIJKEb2VCRESSMECIiEgSBggREUnCACEiIkkYIEREJAkDhIiIJGGAEBGRJAwQIiKS= JKj+kHD5mk34ZPXGNsujIiOw/uMMr+3/g4xn0aeXtE/K87YFiz/Fhi07kPn+a0iMN8hdjkuBUKM= /mf3KQhw48isAQKlUIFavw4B+fTDphrG4tF8fuctzi/0ceoJqBKKLjsLqJa9jy5p3kdw9Ee/P/T= 9syHwLt9z0e4+237H3YLuPT7n1BgwfOsBL1XaulmZPPHwn+qal+LyezgiEGv3J3Bdn4E/XXYMHJ= /8F//5kHua9MguJ8bF48oV5OPzzcbnLc4v9HHqCKkCuHTUMBr2uxbIwjRoTJ4yBw9H+Z0TU1jUg= c+3mCx5Do/b9oM3TWpqFadQ+rccbAqFGfxMdFYkwjRrdEuPw8JRJGD/mSnyYuV7ustrFfg4tATO= FNSPzmNvHFk5OBwDoY6JdPh6tjXR+vX3XT1iauR4qlRL33HYjxo4+94lwby9dheMnz+CPt07DRw= teREKsHm8uykTWgRxckt4bzz5xP3TRUS32+8RzGcjLL8Cbc57E3xf8C/3T0/Dg5Il49c0lMDda8= NpfH3MO5f/73R4sX7MJhphoPDvzAbw670OUllXg+VkPYu47n+DyIf0x65HJLmtJ7ZHUZvsTpwrx= 7kdr0DctGXaHo0VdrdftlhgHADCbG90+p207f8SyVRsgCAKemTYFT700H90S47Fs4Ut4ae4H2JV= 1GOuWZUAbFeHyGC+/sRjFpRWYdMMY7Mo6jPfn/hV79h9xW6O7fgh2NXMnuVyum73ugtte//tReP= KFeaiuqUWMTuu2n9FOX7OfyZsCZgTSYHffPHW6oBhrN3yDt1+fjeeffBDzF61EXn4BAODpaVOg1= 2mxZc27SO2RhJNniqDXabFy0d8Qo9MiOzevzf4y5syEQxTRaLHgnddnI+fXE8g6mIN/vPA4Bg9I= d85j558pQklZJZbMex7jrr0Cy1Z9hTdemoFGixWiCCx641nszjqMGlOdy1pab7/o47VYtuorLPj= bU7j39pucz8HdsZq5e055+QXYun0f3vvn/+LOSeOxdfteLM54zrnd7On3tghhV8d467WnYLFacd= 3YUfgg41lUVFW7rbG9fgh2Cmu1y+aJOEMMAKCuvqHdfoabvmY/k7cFzAikwS50eh/7DuRg1IjB0= Ou00Ou0mPCH0TiYfdTlvG3/9DQkxhvw6RdfY3fWYYweMaTNOmqVCgpBwOAB50ZA6X16ol/fXoiM= CEdy9wTYbDYAQE5uHj5ZvdF5gz/OEAO1WoUwjRpDB14MAEhMiIPVanNZd+vtIyPCMfmW6xEfq0d= 8rB7pvVPdrtv8otPeczqYfRTjrh2JqMgIXDd2FK4bOwq1dQ3O7aIiw6GL1rZ7DI1aBY1a7fwpeM= /+Ixh3zUiXNXakH4KNYK2RvG1F1bmgiTXE4Jvv97ntZ7jpa/YzeVvABIjZ1vnPuRYBVFb9dgHHG= nRQKl0Pwk6ePou3l36Ge2670ePP2BYE15/HbXc4MGf2VFw1YrBzmdXmOixcab39p+u+brG9IAhu= 1/XkOTkcDphq6yXX07yP89XW1bdYdn6NHemHYCNYTZK33fztLoy87FKEh2na7We46Wv2M3lbwPS= mxWJx2zw1bFA/bN62G78cy4epth5ZB37GiKbfqhIgoMHcCHPjuf1lHcjB4AEX4aLeqSivNMJitc= Jms6PKWIPqmloAgLHaBJvdjrp6MxwOB6qMJlQZTXA4RFQZTag01kAURQy4uDdWfL4JBWdLUVdvx= nc796O6phYN5kY0mBthsVhhqq2DscbkspbW25sbGvHV1z8g/0wRjNUmVJvqnKMdV8dq5uo5AcCA= fn2w5sutOHO2xLmNSqVEeUUVyiuN+OXoSdQ3mNs9RpXR1CLU+vXt5bbG9voh2FksVpfNlbr6Bli= tNpSWV2LpivXYtnM/Hrjrz8AF+hlu+pr9TN6mnDnrmZf1uigPVpXXxzsLYbfbXba7R3V3rudwOD= D+tukw1dZh45YdSO/TE6k9kgAAsXod9DFazF+0Ev/9bg/uuvk6DOx/EQBAoVAg93g+Nm3didEjh= 0CrjcSS5etRXmlEv/Q07Nh3EEUl5fjmhyxs2b4XEyeMwZyMJSgurcBPR35FUUk5tu34Ed/8kIWk= BAMWL1+HQznHMGzwJbgkPQ0igIz3lmPPj4dx4/ir8dr8j1BaXons3Dxk5+bhUM4xbNu5H3dMGt+= mlu5J8S22n/w/ExCm0eCdD1fDarXBWF2DlV9sxu0TxyPOENPmWDG6c9MSao26zXO6asQQ9EiKh8= PhwLxFmTiUcxR/vv5a6HVaVJtqsfiTdbh8aH8cOPIrNm7dgZtvHItYF8eYk7EE5RVG5OUXYOzo4= eiWGAdzo8VljbGGGLf9EOxMmzLgcDjatKjrZznXmf3KQmzf9RN+OpyLzLWb8e0PWYjRafH0Y1Oc= 0z+u+qC5n+GmrydOGAOFILCfqdOqTfV4a94bc4T8glKxV3KC3PUQEVGAOFVYhrSURCFgprCIiMi= /MECIiEgSBggREUnCACEiIkkYIEREJAkDhIiIJGGAEBGRJAwQIiKShAFCRESSMECIiEgSBggREU= nCACEiIkkYIEREJAkDhIiIJGGAEBGRJAHzkbaeeGnuB9iVdbjN8hdmPYRrRl3W4f0tWPwpNmzZg= cz3X0NivMFLVfpOoNVLri1fs8n5OeTni4qMwPqPM7y2/w8ynkWfXsmd3p9cAu18D7R6PRFUATJn= 9lQsWbEesXodbrnp9wCAiqpqHD9xRtL+nnj4TvxyLN/LVfpOoNVLrumio7B6yesw6HW4b8YcPP/= kA0hN7obV/95ywW137D2Iq68Y2u46U269AT8fPenFiqXX0hmBdr4HWr2eCPoprDhDDK64fKDk7c= M0aq/W42uBVi+1de2oYTDodS2WhWnUmDhhDBwO0e12tXUNyFy72aNjaNS+/dmxI7V0RqCd74FW7= 4UEzAhk3bp1bh+bNGmSy+U2mx079x3CtVcNAwBM+7+5KC2rwPOzHsTcdz7B5UP6Y9Yjk9tstyvr= MN79aA36piXD7nA4l//3uz1YvmYTDDHReHbmA+iWGIcGcyNeeXMp7HY7bvvLHzF8SH+YzY14c1E= msg7k4JL03nj2ifuhi47Ctp0/YtmqDRAEAc9Mm4JL+/XB9Xc8jm6J8Vi28CXnFNy6ZRnQRkW4PN= 4jz7yO4tIKTLphDHZlHcb7c/+KPfuPuKx3+66fsDRzPVQqJe657UaMHT28k71AnbZ7rOvlo7Y5v= 9THRLtcJVob6fzaVd++vXQVjp88gz/eOg0fLXgRCbF6l+dha088l4G8/AK8OedJ/H3Bv9A/PQ0P= Tp6IV99cAnOjBa/99TEkxhvanI+vzvvQ7fXUupbUHklttj/88zGP93c+d9cnXFyjMTptm+sTgMf= X6FMvzXd7fbo63stvLPb4+nTXj4EkYEYgdrvdbWtt0cdr8cdbp2HCnTOwc98h5/I3XpqBRosVog= gseuNZ7M46jBpTXYttyyqMWLbqKyz421O49/abkJdfAADIP1OEkrJKLJn3PMZdewWWrfoKAHAw+= yh+d8VQvDDrQZwuKAIAnDxTBL1Oi5WL/oYYnRbZuXnIyy/A1u378N4//xd3ThqPrdv3AgAWZzzn= PPbs6fc6XyTcHe+t156CxWrFdWNH4YOMZ1FRVe2y3tMFxVi74Ru8/fpsPP/kg5i/aKXzMZJTiZv= mOXd9+/S0KdDrtNiy5l2k9khyeR66kjFnJhyiiEaLBe+8Phs5v55A1sEc/OOFxzF4QDoOHPnV5f= nY3vXUupbW27/z4eoO7a+Zu+sTbq4ZV9cnOnCNurs+3R3P0+uzvX4MJAEzAnEVFO48cu8tuOWm3= 8Nqs2HH3oPO5Wq1CmEaNYYOvBgAkJgQB6vV1mLbPfuPYNw1IxEfq0d8rB7pvVMBADm5efhk9Ubn= zc04QwwAoGdyEj7+bAMA4PrfXwUA6J+ehsR4Az794mvszjqM0SOG4GD2UYy7diSiIiNw3dhRuG7= sKABAbNN+ACAqMhy6aG27x9OoVdCo1eiWGNduvfsO5GDUiMHQ67TQ67SY8IfROJh9FH3TUjr4P0= /eVdrpPbjr254p3Vqs5+o8dEWtUkEhCBg8IB0AkN6nJ/r17YXIiHAkd0+AzWZzeT56cj01a719V= EQ49v6U3eH9uTvfXR0jzhCDKbfe0Ob6dPd/4+oara1rcG5z/vXp7nieXp/t9WMgXaMBEyA2m+sT= sz1qlarDQ8Launo4zhtmCoIAALA7HJgzeyquGjG4xfrJ3RPx+nPT8J9vd+Gpl97C/FdnoaikHG8= v/Qz33HYjRPHcnLXD4YCptt7jOtwdz9N6RQCVVTXO5bEGHZTKgBlwBi1RrHC5XOjIPjzs25Onz7= Y5Dz0hCGizvqvz0dqBa7L19l9+/T3iY/Ud3p+7891djQDaXJ/hYRqX/zfeuEYdraao2qs3GK7Rg= KnWYrG4ba2ZGxudX1fX1GLF5/+BKIqorqlFg7kRDeZGWCxWmGrrYKwxtdi2X99e+OrrH5B/pgjG= ahOqTXWw2WwYcHFvrPh8EwrOlqKu3ozvdu4HAOzdn43C4jJMnDAGifEGlJZXIutADgYPuAgX9U5= FeaURFqsVA/r1wZovt+LM2ZIW26tUSpRXVKG80ohfjp5EfYO53eNVGU0tLjR39Q4b1A+bt+3GL8= fyYaqtR9aBnzFi6ACf9Q95psHqunWEu74VIKDB3Ahz47lrwtV5iKZ7g1XGGlTX1AIAjNUm2Ox21= NWb4XA4UGU0ocpogsMhospoQqWxBv3T09qcj+1dT61raX0+19c3dGh/zdyd766O8d3O/S6vT3f/= N66uUXfXp7vjeXp9ttePgUQ5c9YzL+t1bW+s+Zt9+/a5vQcyfPi5UcZLcz/A5m9342D2USxfswn= L12zC6i+3YviQ/hjU/yI8M2chSssrkZ2bh+zcPBzKOYZtO/fjjknjncfplhgHc6MF73y4GlarDc= bqGqz8YjMeve9/AAjIeG859vx4GDeOvxoxOi1q6+tRXFKB5/7+HoYOvBhjRg+HJkyNJcvXo7zSi= H7padix7yAmThgDhSBg3qJMHMo5ij9ffy20URFQqZSoNtVi8SfrcPnQ/jhw5Fds3LoDD02eCBFo= c7xZL85HeYURefkFGDt6eLv16mOiMX/RSvz3uz246+brMLD/RTL2IAGA6dgc2Oxo0yL6vtxiPYf= DgfG3TYeptg4bt+xAep+eSO2RBACI1evZ521RAAABNklEQVSgj9G26VuFQoHc4/nYtHUnRo8cAq= 02ss15eNWIIVi78Vts2b4XW7bvxcQJYzAnYwmKSyvw05FfUVRSjm07fsQ3P2QhKcGAxcvX4VDOM= Yy79gokxMe2OB9fm/+R2+updS3dk+JbnM+3TxoPXbTW4/01c3e+3z5xPOIMMW2uGaVS0eb6FAQB= ao1n16hep3V5fd5841jEujjenIwlHl2ft08cj1hDjMt+DATVpnq8Ne+NOUJ+QanYKzlB7nqIiCh= AnCosQ1pKohAwU1hERORfGCBERCQJA4SIiCRhgBARkSQMECIikoQBQkREkjBAiIhIEgYIERFJwg= AhIiJJGCBERCQJA4SIiCRhgBARkSQMECIikoQBQkREkjBAiIhIEgYIERFJwgAhIiJJVGj6dCkiI= qKO+P8b+gE9xmCloQAAAABJRU5ErkJggg=3D=3D" width=3D"400" height=3D"198" alt= =3D"" />3.1. Propuesta d= e la investigaci=C3=B3n Nombre de la propuesta: Plan estrat=C3=A9gico de fortalecimient= o de la gesti=C3=B3n educativa digital para la innovaci=C3=B3n pedag=C3=B3g= ica.Objetivo general: de esta propuesta es fortalecer la gesti=C3=B3n educativa digital= en la Escuela Sixto Dur=C3=A1n Ball=C3=A9n mediante la implementaci=C3=B3n= de estrategias integrales que promuevan la innovaci=C3=B3n pedag=C3=B3gica= y el uso significativo de las tecnolog=C3=ADas en el proceso educativo.</s= pan>Just= ificaci=C3=B3n espec=C3=ADfica<spa= n>La propuesta est=C3=A1 dirigida a la comunidad educativa de la <sp= an class=3D"whitespace-normal">Escuela Sixto Dur=C3=A1n Ball=C3=A9n<= span>, conformada por: 3 directivos institucionales, 20 docentes, Estudiant= es de educaci=C3=B3n b=C3=A1sica, comunidad educativa en general, surge com= o respuesta a la necesidad de superar la brecha identificada entre la gesti= =C3=B3n educativa digital y su aplicaci=C3=B3n efectiva en la innovaci=C3= =B3n pedag=C3=B3gica. En este sentido, se plantea un plan estrat=C3=A9gico = integral que permita consolidar la gesti=C3=B3n educativa digital como un e= je articulador del proceso ense=C3=B1anza-aprendizaje, promoviendo una tran= sformaci=C3=B3n real en la cultura institucional.<span= style=3D"font-family:'Times New Roman'">Para llevar a cabo esta propuesta = se realizar=C3=A1 diferentes estrategias, una de estas l=C3=ADneas estrat= =C3=A9gicas es el fortalecimiento de competencias digitales docentes donde = se dise=C3=B1ar=C3=A1 e implementar=C3=A1 un programa permanente de capacit= aci=C3=B3n docente enfocado no solo en el uso t=C3=A9cnico de herramientas = digitales, sino en su aplicaci=C3=B3n pedag=C3=B3gica (metodolog=C3=ADas ac= tivas como aprendizaje basado en proyectos, aula invertida y gamificaci=C3= =B3n).La siguiente l=C3=ADne= a estrat=C3=A9gica es la integraci=C3=B3n curricular de las tecnolog=C3=ADa= s digitales ya que es necesario reestructurar la planificaci=C3=B3n curricu= lar para que la tecnolog=C3=ADa no sea un complemento, sino un recurso did= =C3=A1ctico integrado, para ello, se sugiere dise=C3=B1ar gu=C3=ADas pedag= =C3=B3gicas que orienten el uso de herramientas digitales en funci=C3=B3n d= e objetivos de aprendizaje claros, esta acci=C3=B3n permitir=C3=A1 que la i= nnovaci=C3=B3n pedag=C3=B3gica se consolide en el aula, reduciendo la brech= a entre la planificaci=C3=B3n y la pr=C3=A1ctica educativa.El fortalecimiento del liderazgo digital ins= titucionales una l=C3=ADnea estrat=C3=A9gica importante ya que el equipo di= rectivo debe asumir un rol activo como l=C3=ADder del proceso de transforma= ci=C3=B3n digital, promoviendo una visi=C3=B3n compartida y una cultura ins= titucional orientada a la innovaci=C3=B3n, se recomienda establecer un plan= de gesti=C3=B3n digital institucional que incluya objetivos, indicadores d= e seguimiento y evaluaci=C3=B3n, as=C3=AD como espacios de acompa=C3=B1amie= nto pedag=C3=B3gico para los docentes.La mejora de la infraestructura tecnol=C3=B3gica y conectividad t= ambi=C3=A9n es otra l=C3=ADnea estrat=C3=A9gica que plantea gestionar recur= sos institucionales y alianzas estrat=C3=A9gicas que permitan mejorar el ac= ceso a dispositivos tecnol=C3=B3gicos, asimismo, es importante optimizar el= uso de los recursos existentes mediante una adecuada planificaci=C3=B3n y = organizaci=C3=B3n institucional de igual forma la articulaci=C3=B3n entre g= esti=C3=B3n administrativa y pr=C3=A1ctica = pedag=C3=B3gica propone integrar los sistemas administrativos digitales con= los procesos pedag=C3=B3gicos, de manera que la informaci=C3=B3n generada = contribuya a la toma de decisiones educativas.3.2. <s= pan style=3D"font-style:italic">Validaci=C3=B3n de la propuesta = La propuesta de for= talecimiento de la gesti=C3=B3n educativa digital orientada a la innovaci= =C3=B3n pedag=C3=B3gica en la Escuela Sixto Dur=C3=A1n Ball=C3=A9n</sp= an> se valid=C3=B3 por docent= es pares en funci=C3=B3n de su pertinencia, coherencia y viabilidad frente = a la problem=C3=A1tica identificada en el estudio y utilizando la r=C3=BAbr= ica respectiva, de lo antes mencionado se desprenden aseveraciones apegadas= a la realidad actual de la instituci=C3=B3n como las que se detallan a con= tinuaci=C3=B3n.En primer lug= ar, presenta una alta pertinencia, ya que responde directamente a las neces= idades detectadas, como la limitada articulaci=C3=B3n entre la gesti=C3=B3n= institucional y la pr=C3=A1ctica pedag=C3=B3gica, la insuficiente formaci= =C3=B3n docente en competencias digitales y las debilidades en infraestruct= ura tecnol=C3=B3gica, es decir, no es general, sino contextualizada a la re= alidad institucional, Rossi & Barajas (2018) sostienen en su art=C3=ADc= ulo que la competencia digital del profesorado constituye un elemento funda= mental para impulsar la innovaci=C3=B3n pedag=C3=B3gica, siempre que est=C3= =A9 acompa=C3=B1ada de procesos de formaci=C3=B3n continua y reflexi=C3=B3n= sobre la pr=C3=A1ctica docente.En cuanto a su coherencia, la propuesta mantiene un= a relaci=C3=B3n l=C3=B3gica entre los objetivos planteados, las l=C3=ADneas= estrat=C3=A9gicas y los resultados esperados. Cada acci=C3=B3n propuesta c= omo la capacitaci=C3=B3n docente, la integraci=C3=B3n curricular de las TIC= , el fortalecimiento del liderazgo digital y la mejora de la infraestructur= a se vincula directamente con los hallazgos obtenidos en la investigaci=C3= =B3n, lo que garantiza consistencia entre el diagn=C3=B3stico y la soluci= =C3=B3n planteada.Respecto a su viabilidad, la propuesta se considera factible de i= mplementar, ya que contempla estrategias progresivas y adaptables al contex= to institucional. Asimismo, promueve el uso optimizado de los recursos exis= tentes y la posibilidad de gestionar alianzas estrat=C3=A9gicas, lo que per= mite superar las limitaciones presupuestarias identificadas, adem=C3=A1s, e= l enfoque en el desarrollo profesional docente continuo y en el liderazgo i= nstitucional favorece la sostenibilidad de la propuesta en el tiempo.</span= >La propuesta s= e valida tambi=C3=A9n desde el enfoque te=C3=B3rico, al estar alineada con = los planteamientos de organismos internacionales como la UNESCO (2024) que = destacan la importancia de integrar liderazgo, formaci=C3=B3n docente, infr= aestructura y gesti=C3=B3n institucional para lograr una transformaci=C3=B3= n digital efectiva en educaci=C3=B3n, en este sentido, la propuesta no solo= es pertinente y viable, sino que se sustenta en fundamentos te=C3=B3ricos = s=C3=B3lidos que respaldan su implementaci=C3=B3n.4. <= span style=3D"font-weight:bold">Discusi=C3=B3n Los resultados evidenciaron que la gesti=C3=B3n educativ= a digital presenta avances en la incorporaci=C3=B3n de herramientas tecnol= =C3=B3gicas y en el impulso del liderazgo directivo; sin embargo, estos pro= gresos no se traducen de manera homog=C3=A9nea en pr=C3=A1cticas pedag=C3= =B3gicas innovadoras, la alta valoraci=C3=B3n de la integraci=C3=B3n digita= l en la planificaci=C3=B3n curricular contrasta con las limitaciones identi= ficadas en el ecosistema digital y en la aplicaci=C3=B3n de metodolog=C3=AD= as activas, lo que sugiere una brecha entre la intenci=C3=B3n institucional= y la pr=C3=A1ctica educativa.<spa= n>Asimismo, la percepci=C3=B3n dividida en torno a la formaci=C3=B3n docent= e y la evaluaci=C3=B3n del uso de las tecnolog=C3=ADas refleja debilidades = en los procesos de capacitaci=C3=B3n y seguimiento, Jerez (2025) sostiene q= ue las Tecnolog=C3=ADas de= Informaci=C3=B3n, Comunicaci=C3=B3n, Conocimiento y Aprendizaje Digital (T= ICCAD) favorecen la innovaci=C3=B3n pedag=C3=B3gica al transfo= rmar las estrategias de ense=C3=B1anza, fortalecer el aprendizaje activo y = promover el desarrollo de competencias digitales no solo en estudiantes tam= bi=C3=A9n en docentes, lo que incide directamente en la consolidaci=C3=B3n = de una cultura de innovaci=C3=B3n, a esto se suman las limitaciones en infr= aestructura y recursos, las cuales condicionan el desarrollo de estrategias= pedag=C3=B3gicas mediadas por tecnolog=C3=ADa y que son fundamentales para= el proceso ense=C3=B1anza aprendizaje.Estos hallazgos coinciden con lo planteado por la UNESCO (2024)= al se=C3=B1alar que la transformaci=C3=B3n digital educativa depende de la= articulaci=C3=B3n efectiva entre liderazgo, formaci=C3=B3n docente, infrae= structura y gesti=C3=B3n institucional, as=C3=AD los resultados permiten ev= idenciar que la gesti=C3=B3n educativa digital requiere fortalecerse, orien= tada no solo a la digitalizaci=C3=B3n de procesos, sino a la transformaci= =C3=B3n de las pr=C3=A1cticas pedag=C3=B3gicas y la cultura institucional, = de igual forma menciona Narv=C3=A1ez (2023) la problem=C3=A1tica es la care= ncia de empleo de m=C3=A9todos y estrategias de ense=C3=B1anza y de aprendi= zaje, el cual debe estar actualizado.= 5. Conclusi=C3=B3n <ul style=3D"margin:0pt; pad= ding-left:0pt"><li class=3D"NormalWeb" style=3D"margin-top:0pt; margin-left= :14.2pt; margin-bottom:0pt; text-align:justify; line-height:115%; font-fami= ly:serif">Los resultados del = estudio permitieron evidenciar que la gesti=C3=B3n educativa digital en la = Escuela Sixto Dur=C3=A1n Ball=C3=A9n se encuentra en un nivel de desarrollo= incipiente-intermedio, caracterizado por avances en la incorporaci=C3=B3n = de herramientas tecnol=C3=B3gicas y en la promoci=C3=B3n del liderazgo dire= ctivo, pero con limitaciones en su articulaci=C3=B3n efectiva con la innova= ci=C3=B3n pedag=C3=B3gica, por ello, se requiere una gesti=C3=B3n m=C3=A1s = coherente y estructurada.</li><li class=3D"NormalWeb" style=3D"margi= n-top:0pt; margin-left:14.2pt; margin-bottom:0pt; text-align:justify; line-= height:115%; font-family:serif">Se constat=C3=B3 que, aunque existe una alta aceptaci=C3=B3n del uso de = tecnolog=C3=ADas digitales en la planificaci=C3=B3n curricular, su aplicaci= =C3=B3n en el aula no siempre se traduce en pr=C3=A1cticas pedag=C3=B3gicas= innovadoras, esta situaci=C3=B3n revela una brecha entre el dise=C3=B1o in= stitucional y la implementaci=C3=B3n did=C3=A1ctica, lo que limita el impac= to real de la transformaci=C3=B3n digital en los procesos de ense=C3=B1anza= -aprendizaje.</li><li class=3D"NormalWeb" style=3D"margin-top:0pt; m= argin-left:14.2pt; margin-bottom:0pt; text-align:justify; line-height:115%;= font-family:serif">Asimismo,= se identific=C3=B3 que la formaci=C3=B3n docente en competencias digitales= es de suma importancia y constituye un factor determinante para la consoli= daci=C3=B3n de la innovaci=C3=B3n pedag=C3=B3gica, la percepci=C3=B3n de in= suficiencia en los procesos de capacitaci=C3=B3n evidencia la necesidad de = fortalecer estrategias de desarrollo profesional continuo, orientadas al us= o actualizado pedag=C3=B3gico de las tecnolog=C3=ADas.</li><li class= =3D"NormalWeb" style=3D"margin-top:0pt; margin-left:14.2pt; margin-bottom:0= pt; text-align:justify; line-height:115%; font-family:serif">En relaci=C3=B3n con la gesti=C3=B3n instit= ucional, se determin=C3=B3 que la articulaci=C3=B3n entre los procesos admi= nistrativos digitales y las pr=C3=A1cticas pedag=C3=B3gicas es parcial, lo = que refleja una fragmentaci=C3=B3n en la gesti=C3=B3n educativa, esta situa= ci=C3=B3n impide que la tecnolog=C3=ADa funcione como un eje integrador del= quehacer institucional, las limitaciones en infraestructura tecnol=C3=B3gi= ca, conectividad y financiamiento se posicionan como factores estructurales= que condicionan la implementaci=C3=B3n de procesos de innovaci=C3=B3n.</sp= an></li><li class=3D"NormalWeb" style=3D"margin-top:0pt; margin-left:14.2pt= ; margin-bottom:0pt; text-align:justify; line-height:115%; font-family:seri= f">Se concluye que la gesti= =C3=B3n educativa digital solo puede constituirse en una estrategia efectiv= a para fortalecer la innovaci=C3=B3n pedag=C3=B3gica cuando se concibe desd= e un enfoque sist=C3=A9mico, que integre liderazgo, formaci=C3=B3n docente,= recursos tecnol=C3=B3gicos y cultura institucional orientada al cambio, y = para ello es necesario implementar estrategias activas innovadoras en un pl= an estrat=C3=A9gico e innovador que promueva el cambio.</li></ul>6. = ; Conflicto de intereses= Los autores declaran que no existe con= flicto de intereses en relaci=C3=B3n con el art=C3=ADculo presentado.</span= ><sp= an>7. = 0; Derechos de autor (copyrig= th)Los autores son los titu= lares de los derechos de autor </sp= an>(patrimoniales y/o de explotaci=C3=B3n) de los contenidos de la re= vista (copyright).</s= pan>= 8. &= #xa0; Declaraci=C3=B3n de con= tribuci=C3=B3n de los autoresLos autores declaran haber participado de manera equit= ativa y sustancial en la realizaci=C3=B3n de esta investigaci=C3=B3n, bajo = las responsabilidades seg=C3=BAn la <a href=3D"https://credit.niso.o= rg/" style=3D"text-decoration:none">Taxonom=C3=ADa CRediT</a>= para describ= ir las contribuciones individuales de cada autor al trabajo. Los autores declaran h= aber participado en la realizaci=C3=B3n de esta investigaci=C3=B3n de la si= guiente manera: Rosa Alexand= ra Elizalde Panta: conceptualizaci=C3=B3n, curaci=C3=B3n de datos, an=C3=A1= lisis formal, investigaci=C3=B3n, metodolog=C3=ADa, escritura-revisi=C3=B3n= y edici=C3=B3n, discusi=C3=B3n de los resultados y conclusiones, aprobaci= =C3=B3n del trabajo final.Se= gundo Daniel Land=C3=A1zuri Ram=C3=ADrez: a= dministraci=C3=B3n del proyecto, escritura - borrador original, escritura -= revisi=C3=B3n y edici=C3=B3n, discusi=C3=B3n de los resultados y conclusio= nes, aprobaci=C3=B3n del trabajo final.Lilian Susana Molina Benavides: escritura-revisi=C3=B3n, discusi=C3=B3n de los resulta= dos y conclusiones, aprobaci=C3=B3n del trabajo final.Esther= Carl=C3=ADn Ch=C3=A1vez: escritura-revisi=C3=B3n, discusi=C3=B3n de los resultados y conclusiones, aprobaci=C3=B3n = del trabajo final.Declaraci=C3=B3n presentada por: Rosa Alexandra Elizalde Panta.= Divulgaci=C3=B3n de la delegaci=C3=B3n a la Inteligencia Artific= ial GenerativaLos autores declaran el uso de herramientas de inteligencia artificia= l generativa (IAG) durante el proceso de investigaci=C3=B3n y redacci=C3=B3= n del manuscrito. De acuerdo con la taxonom=C3=ADa GAIDeT (2025), las sigui= entes tareas fueron delegadas a herramientas de IAG bajo la supervisi=C3=B3= n y el control permanente de los autores: generaci=C3=B3n de ideas, b=C3=BA= squeda y sistematizaci=C3=B3n de la literatura cient=C3=ADfica, correcci=C3= =B3n y edici=C3=B3n del manuscrito, las herramientas de IAG utilizadas fuer= on: ChatGPT-1 y DeepSeek. La responsabilidad sobre el contenido final del m= anuscrito recae exclusivamente en los autores. Las herramientas de IAG no f= iguran como autoras ni asumen responsabilidad alguna por los resultados fin= ales. Declaraci=C3=B3n presentada por: Rosa Alexandra Elizalde Panta.</span= ><s= pan style=3D"font-weight:bold">9. &#x= a0; Costos de financiamiento = La presente investigaci=C3= =B3n fue financiada en su totalidad con fondos propios de los autores.</spa= n><= span style=3D"font-weight:bold">10. <span= style=3D"font-weight:bold">Referencias bibliogr=C3=A1ficasAlonzo Yaranga, L., L= e=C3=B3n Quispe, K., & Avenda=C3=B1o Cruz, C. E. (2023). El liderazgo d= irectivo en el proceso educativo. = Horizontes Revista de Investigaci=C3=B3n en Ciencias de la Educaci=C3=B3n</= span>, 7(28), 6= 98=E2=80=93711. <a href=3D"https://doi.org/10.33996/revistahorizonte= s.v7i28.548" style=3D"text-decoration:none">https= ://doi.org/10.33996/revistahorizontes.v7i28.548</a>Arias Pincha, J. P., & Beltr=C3=A1n Esp=C3=ADn, E.= L. (2023). El uso de la tecnolog=C3=ADa en la educaci=C3=B3n contin= ua [Trabajo = de pregrado, Universidad T=C3=A9cnica de Cotopaxi, Pujil=C3=AD, Ecuador]. <= /span><a href=3D"https://repositorio.utc.edu.ec/items/bb349ff1-62fb-45fd-b3= 88-71d3b4e0f5b7" style=3D"text-decoration:none">h= ttps://repositorio.utc.edu.ec/items/bb349ff1-62fb-45fd-b388-71d3b4e0f5b7</s= pan></a> Asamblea Nacional del Ecuador. (2011). Ley Org=C3=A1nica de Educaci=C3=B3n Intercultural (LOEI).</s= pan> Segundo Suplemento del Registro Oficial No.417 (31 de Marzo 2011= ). Normativa: Vigente. =C3=9Altima Reforma: Suplemento del Registro Oficial= 434 (19-IV-2021). <a href=3D"https://www.igualdad.gob.ec/wp-content= /uploads/downloads/2021/04/ley_org%C3%A1nica_educacion_intercutural_abril20= 21.pdf" style=3D"text-decoration:none">https://ww= w.igualdad.gob.ec/wp-content/uploads/downloads/2021/04/ley_org%C3%A1nica_ed= ucacion_intercutural_abril2021.pdf</a> Concha Abarca, J., Quispe Ch= oque, M. E., & Quispe Choque, M. (2023). Importancia del uso de las her= ramientas digitales en la inclusi=C3=B3n educativa. Horizontes, 7(29), 1374=E2=80=931386. <a href= =3D"https://doi.org/10.33996/revistahorizontes.v7i29.598" style=3D"text-dec= oration:none">https://doi.org/10.33996/revistahor= izontes.v7i29.598</a> Cort=C3=A9s Castrillo, D. M. (2022). Liderazgo pedag= =C3=B3gico y gesti=C3=B3n educativa en el marco de la digitalidad: una mira= da cr=C3=ADtico-humanista. CIEG, Revista Ar= bitrada del Centro de Investigaci=C3=B3n y Estudios Gerenciales<span= >, 54, 95=E2=80=93105. </s= pan><a href=3D"https://revista.grupocieg.org/wp-content/uploads/2022/02/Ed.= 5495-105-Cortes.pdf" style=3D"text-decoration:none">https://revista.grupocieg.org/wp-content/uploads/2022/02/Ed.5495-105-Cor= tes.pdf</a> Denzin, N. K. (2009). The research act: a theoretical introduction to sociological method= s (1st ed.). Routledge. <a href=3D"https://doi.org/10.4= 324/9781315134543" style=3D"text-decoration:none">https://doi.org/10.4324/9781315134543</a>Hern=C3=A1ndez-Sampieri, R., & Men= doza Torres, C. P. (2018). Metodolog=C3=ADa= de la investigaci=C3=B3n: Las rutas cuantitativa, cualitativa y mixta (6ta= edici=C3=B3n). McGraw-Hill. <a href=3D"https://artes.u= pn.edu.co/wp-content/uploads/2024/11/METODOLOGIA-DE-LA-INVESTIGACION-Sampie= ri-Mendoza-2018.pdf" style=3D"text-decoration:none">https://artes.upn.edu.co/wp-content/uploads/2024/11/METODOLOGIA-DE-LA-IN= VESTIGACION-Sampieri-Mendoza-2018.pdf</a> &#x= a0; Jerez Disla, J. M. (2025). P= edagogical innovation as a product of information, communication, knowledge= and digital learning technologies. MENTOR Revista de investigaci=C3=B3n Educativa y Deportiva , <span= >4(10), 243=E2=80=93274. <a href=3D"https://doi.org/10.56200/mried.v= 4i10.9350" style=3D"text-decoration:none">https:/= /doi.org/10.56200/mried.v4i10.9350</a>Llerena Ramos, M. A., & Mu=C3=B1oz Bur= bano, A. L. (2025). Gesti=C3=B3n digital y su influencia en la ciber gerenc= iabilidad de directivos escolares en tiempos disruptivos. Revista Cient=C3=ADfica Multidisciplinar SAGA, = 2(1), 261=E2=80=93275. = 0; <a href=3D"https://revistasaga.org/index.php/sa= ga/article/view/45" style=3D"text-decoration:none">https://revistasaga.org/index.php/saga/article/view/45</a> Mart=C3=ADnez Bonaf=C3=A9, J., & Roger= o Anaya, J. (2021). El entorno y la innovaci=C3=B3n educativa. <span= style=3D"font-style:italic">REICE. Revista Iberoamericana Sobre Calidad, E= ficacia y Cambio en Educaci=C3=B3n, 19(4). <a href=3D"https://doi.org/10.153= 66/reice2021.19.4.004" style=3D"text-decoration:none">https://doi.org/10.15366/reice2021.19.4.004</a>Ministerio de Educaci=C3=B3n= del Ecuador. (2021). Agenda educativa digi= tal 2021-2025. <a href=3D"https://recursos.educacion.gob.ec/wp-conte= nt/uploads/2022/02/Agenda-Educativa-Digital-2021-2025.pdf" style=3D"text-de= coration:none">https://recursos.educacion.gob.ec/= wp-content/uploads/2022/02/Agenda-Educativa-Digital-2021-2025.pdf</a= >Narv=C3=A1e= z Vinueza, J. (2023). M=C3=A9todos y estrategias de ense=C3=B1anza orientad= as a la innovaci=C3=B3n pedag=C3=B3gica. LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades</sp= an>, 4(6), 649 = =E2=80=93 657. <a href=3D"https://doi.org/10.56712/latam.v4i6.1475" = style=3D"text-decoration:none">https://doi.org/10= .56712/latam.v4i6.1475</a>Organizaci=C3=B3n de las Naciones Unidas para la Educa= ci=C3=B3n, la Ciencia y la Cultura [UNESCO]. (2024). Transformar el panorama digital de la educaci=C3=B3n superior en = Am=C3=A9rica Latina y el Caribe. = ; <a href=3D"https://unesd= oc.unesco.org/ark:/48223/pf0000388361_spa" style=3D"text-decoration:none"><= span class=3D"Hyperlink">https://unesdoc.unesco.org/ark:/48223/pf0000388361= _spa</a> Rossi Cordero, A. S., & Barajas Frutos, M. (2018). Com= petencia digital e innovaci=C3=B3n pedag=C3=B3gica: desaf=C3=ADos y oportun= idades. Profesorado. Revista de Curr=C3=ADc= ulum y Formaci=C3=B3n de Profesorado, 22(3), 317=E2=80=93339.<= /span> </= span><a href=3D"https://revistaseug.ugr.es/index.php/profesorado/article/vi= ew/8004" style=3D"text-decoration:none">https://r= evistaseug.ugr.es/index.php/profesorado/article/view/8004</a>Salinas, J. M., Pal= acios Urrueta, J., Villa, W., Fonseca, Y., & Pati=C3=B1o, Y.<spa= n> (2025). Gesti=C3=B3n = digital y liderazgo educativo en contextos de transformaci=C3=B3n escolar</= span>. En: Reina Zambrano, J. (2025).Rupturas epistemol=C3=B3gicas y = pedag=C3=B3gicas desde y para las innovaciones sociales en educaci=C3=B3n (= 1ra edici=C3=B3n). Editorial Uniminuto. <a href=3D"https://repositor= y.uniminuto.edu/server/api/core/bitstreams/3b38c3ba-4f19-45e1-8501-f829c31f= 6e52/content#page=3D211" style=3D"text-decoration:none">https://repository.uniminuto.edu/server/api/core/bitstreams/3b38c3ba= -4f19-45e1-8501-f829c31f6e52/content#page=3D211</a> </p= > </s= pan> = El art=C3=ADculo que se publica es de exclusiva responsabili= dad de los autores y no necesariamente reflejan el pensamiento de la </span= >Revista Ci= encia Digital. <img src=3D"data:image/jpeg;base64= ,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBA= QEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCABhAN4D= ASIAAhEBAxEB/8QAHwAAAgICAwEBAQAAAAAAAAAAAAoICQUHAgMGAQsE/8QAUhAAAAYBAwIDBAU= HBQgTAAAAAQIDBAUGBwAIEQkSExQhChUxURYiQXGBGDI5YZGhsRd3eLbwIzNWs8XR1vEaJCYoNT= Y4QlJVWGd0lpe0wcbh/8QAHQEBAAEFAQEBAAAAAAAAAAAAAAMBAgYHCAQJBf/EADcRAAIBAwMCB= AMHBAAHAAAAAAECAwQFEQAGIRIxBxNBUSJhcRQVMoGRsfAII6HBFkJDYnLh8f/aAAwDAQACEQMR= AD8Af40aNGmmjRo0aaaNGjXwTAH+r5Bz/AdNP5+vbX3RroFygUwFE4AYeeC8CIj2jwbgAD1Ao+g= iHoA+gjrv55+f4gIfx0/1yfkD2OqZGcZGckYzzkYyPryOO/OjRo0aaro0aNQv3pb68HbGaE0uWW= 5J88lZ5ZZlTKFW02ju325+3KU7n3e1eO2TVtGMCKJKSku/dN2bIiiSZBcvXDVkvUAngAk+wGdNT= Q0aVLkfaVpUXrj3TtQYEjgUMDUZLK7g70yfI9or+VoxECm445AnId3d68caztE9oxslzvFOp5tr= 0HHltVngq8Z8XJr9wZmWZk2scZyVAaciCx0AciqVMyqZTiTtMcoDzqQQyEZxgYzyQPb07+o9NNN= L6NVdbx+rJt42PZRi8R5cqOYp6yzFPjbu0e0CuUyVhSRErKTMQ2QXcz+QKw9K/I6gniiyRI5RAq= CjYxHKihlE0rJ6tPtbVWoCzsU3CTGxQ0bNsk3ZEknSbSVaIvmxHKaKq6Ka5UVyAsRJdYhFAMUqq= gABxjIIxkEZGRkYyPce401ntGjRqmmjRo0aaaNGjRppo0axc3KJQkPJzLgiqjeKYPJFwREpDrGQ= ZNlXKwJEUVRIZQU0jeGUypCmP2lMchRExawtn3Vy2572crq4dxTTMzwVob1WWt6zq+12kxUL7th= nMa0doEdwGQrO7M+MpJoigmMeVuoBFBO6S4KB64JBIBwO5xwPqfTTVqOjRo1TTRo0aNNNGjRo00= 0a+CIB+/5fZ94hrrWVKiQTnEpSgBhMY5u0pSlKJhMIj6AAAHIiIgAAAiIgACILydQ7rVxuJ5SZw= 5tVSh7Xf41VeOs+UJBJOWqNVekE6K8fW2PeVCyTrQ5R8d85MpARywppC3mVyO27PJ9p7O3Dve6x= 2fbtC1XVMA8sjkx0lHBnDVFZUFWWGFOcnDOx+GNWcgHGt0busWzrc1yvtYtLCW6IIVHmVVZLxiG= kgBDSyMSFzkRoTmR1UE6YbFYgD288j+r1+f8Ab/8APXWpM5Zvx1t6xjZctZPnU6/Tqu0M5evBTF= d26cmASMouLZEEFX8rJOO1owZJ9p11zlATpkKdQiCtp3wbvrvOObDO7jsvryjhyLkDR11m4Vm2O= btESMIuGdMYxgj6D2t2bRBFLuEU0yCPIzx2wdVy3eScYJ3vpn3B7crwiWAsruytgkrpVGbo5Ewl= 28kmUH8+zjzD5w6DpVSwMjpJPICVbuWqTFzu2v8A6ad02iniuD3CgvcVJJHPc7TankjuktEjK1S= La1XBHDNP5QcwLIIzIcBVdyqtpuk/qD2/dJZqGOiq7Q9Sjw2653LypKBKp1KwNXJTuZYYhIV81k= eTy8Et0p1OvkMv9YDcxdtzsPnehzK9Lp1MdumVNxUuso6r7+pulU/Psbu3RVRQmJOwIoIqSTshS= qxS4I+5HDc7FBwdrfZXvUxfvRxezvVIeEjrMwTatb7Q3blJSap82cgCogsmHhqOod4ciikNLkRI= i/bcgcqL1u9atk8t9OxhztreRGUsUzR8m7WslnRk8aZKYHLIpxyEpy4bVi0PmgeGEm1SBQrOROi= 1SmEUDiCDeQTdskYzbb9yOVNrGUoPK2J7AvEzUaqmjKRiplVoK0wZ1SHf16xRxTAR/GPiFDkOCu= mjgiD2PXbPW6K5Ntbj8Jdl+IuyLZXbCigtlxtVGaegZo1jkkeAlZ7TflAEkdckpZXmqVE8dQzpK= ejCjWG3PFDdOxd3V9JvKeorqK5VPm3FS/mxxiYDyrnZiC6y0rIBgRs0UsYAVi6Nj9HQpwMPAc8/= r4+XPrwI8fL79c9Qr2Ub1cXb0MYNLxR3KUZZoxJq0v1DduyKTVPm1UTCZFYvaQ72JenSWVhphNM= qD9uUxTAg+QeM200SnA/qHw45Aefj/b564euVur7PX1VrulLLRXCileCqpZlKSRyIcE4PdWGGVg= SrKwKkqQT2VbbjRXahprlbqmKsoauJJaephZXSRHUHuv4WU9SspAKspBAIIHIeeB4+PA8ff9mkB= uspnKYzPv5zCxdyDhxW8QSKGJKqwOcopRyVVQRSswpJABCAq+uCs85OcwnVOl5RudQxG6QEf5N8= B+Aeg+o/D4fbz6cfPnX5um/po4jt8u7dKQTED/lJZgeiCo+h2j+/zcizMYRAOUzMnKHAgAd6fAl= EAMA6gpR1SS57IgKfX4erPv3H8GvdpojZX0PtqsfgTH9j3EUyRyRlO61eGtdkK/sthhI2rOJ5ih= JpViKjq9JRqRghm7lJk+fPVHjh7IJOl0joNTotUZlQvR36e1dmoiwQ2BWzOWgpNjMRjsLtf1DNp= CNdJPGS5U1rIokfw3CKZxKomdMwF7TkOURKNiVImoqxU2pz0Gui5hputQctErtzFMitGSMY1dsF= UTF+qKSjVZE5BLyUSGKICICAj6jUZdiSeo8/M4/nb9Bppabq8Zu2KY33NViB3M7SLPna/OcSVyS= jbjDZMk6g1ZVlxZbghHwR4to4RSVXZyDaUeHeCAnVI/IkJxBEoBeLZtwGGdv23aCzDkebb48xhD= 0usu24vjrP3TZs9iWYw1fj0G5Vn01MHTUQZNWrRJZy8VKJwDtBQ5FOPaIf+W/RP6PVK/rtkXW0O= vJk2b+guxzDjd65QrpcPkyRLsE1VCtZKWcx1frUEu6S9E1DxDVhPg057hJ74dG+pz9eRYwwhBYj= q6wScnAXGMD9/fTUy7P7SJt9YTDtrUMAZeskMisom3lZqYp9XcOiAbgi5Ixs8s4JJKAAimCr0qw= E7TKJJnMZFKW+0Pq8Uvd7Bbgp2v4ctVLR2/YvfZPlkJizxEmpYmTFnMPDRUeZlHtytHJyQ6pSru= ROkB1U+SgUDiC/uzfdh0oMDYartczPtNvuaswPEVZC+3ax0vHtnjFZZdysZONqaFgvaQxcBEtfB= YN/Cj2LmUVQXln6Sbl4Zuhcvtl3C7I9we3je9KbRNuB8EvatgK6sLo5XptIqbiwtJajXRxFIEUq= U1MneosFmDpU6TwzcqRlgOiChjG7b3jQLxHIOQOskFTyo/zz9CQCNP5+utIk9pQxNx67YsjCPP8= Ah5WfQPiAc+5/UQDjkeA5Hn0+0dqYe9oe2zX68RFUyHjDIuI4madN49C6PZCDtcBFunKxE0lrEl= GjGykfFgJuF37FhLmb9wKuEEWhFnCVNHQ328YX3I7l8k0/OGP4PItZiMMyFhjoieTXO1aTKNuqU= elIJeXXbqFXIzfvEA5UEgkcH5IIgUQ9711do+A9rmTMGL4IojTHjG/1C1qWKDiHTxSFXe1uVikW= Ui3ZvV3RmbtVtLKN3PllUm6xG6Khm/mDLLKXeXEWEXSwcgYbqyBnGDj/ADj5/LVSCDg6cUyTmvG= GIsaTGYMhW6KruN4KHSnH1qcuCKx5mDkiRmJmIthVWk3EmZdujFtI9Jy6knDhBBmisqsmQ1D1y9= o826xE68Y0nBmXLlCt1jpIzsrI1aomfAmbtBw1ixcz7lNoqBe9Hzws33YYBcNW6omRJXr1SMvWg= Onj0wMWlk3akXd8XLXy2FOsoBpF9RqtRoGqg5VARO4TbI2ydV8uc3hisVosYDHSSAk+ukz0stp1= 82g4+zZm3G8dlS+5X99zxz2N5JqQ9cgWk7Iw0LDQsWzft2JTKMoxKTkJFwgpIKPX67VNZNk3QT1= Z5aonW+eWYDHrj6Z+ffVNSv2X9WvH2/K05NxxFYYttISp+L5y7yjiatERKIS0W1WaxruJQTjmDR= Zu5cFkOSODKGIQpDBwAm51CbpL5y2F5G3Svq/ts2h2nBuRC40tL9W6TGTZK2s1oBCTrycjDDGO3= SyZFXq67JcjoqfemDQyYGKCpubnqdsr2u7bonItvwfhyqY6sUvj+yQclKwKT0jp5EqMDuzsVjOX= jggomdNGy49pCn70E/rdocCqr7Pp6b8ZIP8AuSvfr905Tw/fqiKrLM3xKoVOOrIz1KCT74zkemf= T001cpuf66+OtsGe8lYGmsA3a1yeOJprDu7DGXKCYMZJRzER0sC7Vk7ilnDchU5EiQkVVUMJ0zG= 7hKIa03B+0j4LeSrJvY9vGVoKGVWIR9KxdjqdgetETGKArJxTgYFJyBAEwnKMkibtDkoiYADXpN= 529fpGYoznca3lXbNB55y6hJeFkWyVjGNEsKjOwNkEWqsbN2S0ysEMhNMEEUWjxFkZ8Vgoj5Fws= k7QVbp097592HTFz1hh7Xtum1G2YVzJHTMFI1W2MqdQqnCKMiSCKNiirIar2+RcSDN5CLPTsCHi= nKjeZbsDkWbIGdGUuSNGVcxyDI/HnC+nOMcjvwOeRpp1DB2b8b7icZVfLeJ7CjZqTbWIu4yRTTM= 3XSURVO2ex0kyV4cR8pHPElmb9k4IVRBygqT6xQKc229Ltezgz0m+2vZtgHblReOgM4ndRSKhxM= Vn78o1WUfIIB8E0FF48jnsKAB467hUfrqnEWJded1KuV7gDv8//AGDpo18MPAc/d+8ePx/aGvuu= JwASiAjx6h6/Hj1DVD9M/IY/2QP86cepwPU+2qIOtfvsmcC45iNvmMpRaKyZl2MdP7FPMVhSkKj= jkq60asZkoQwKN5a2vEncYzdE/urOMZTDhA7d4aPcprXbLtm+SN6mWkaBS+Y2Cjgbyd/vDpBRaM= qUEuudPzSwFFMHkvIGRXQhosFUlpBwmsoZVFmyeOUJWdbQbAO/3IITXmvIlqGPSVjx/E8AIItZa= GP5TvEQ8AZxSZ7/AAw8MXYOh/vvjcsKdFHGVOpWxag2iAaNjz+T5az265S5CkF0+lmlhlayxZLK= lKBwQhoeEZMkWwnMRNcz1yBSqvnBlOzaO8U/hB4GWS9WGGKbcW7xTn7yaJJEiratKibz5DzmOhp= qcJS0r9Uf2pjKxyMnkKotk/in4x3O2XieSGz7badRRq7Ixo6T7PEaeLkEPW1FQXqagAOYVVMYOB= JrbLsC2xbX6kygqHjSBfT5GoN5q/2eOYz11sS50iA6cPZl81UMybOD8iWIh046GbB6NmCQifmA/= Ul6R9CzzW5HJe3WsV+hZthknD5zCRDRrB1zJzcpRXXj37ZqRvGxtoHgwxk74CYPluGE0odJVB8w= vQ44/t/b9muJiFN+cHPwH7fiHwH8Ncv2rfW7LPuCPc1Le66S7iYTTy1VTPUQ1YLdUsNTTySNFLB= KMoY2UhFIKYZF10dc9i7Xuljfb89ooorf5fRCKWnhp5qZ1GIpoJkQOksZwxcHqkwQxIZgUVdmu8= l/tjkrjtX3V0qQuO224yT+r5MxjaGLg81jqYVdHbyE7Bx7vsdsXDB0l5qTjWpmzoq7VKXg12003= RUd+U33bEH+2Z5BZUxbJLZG2t5RK3lcZ5HaD50kc1lkRfR9csrlBMqaT/ywiEbIKEbozCDdUwFI= /SdNEmu9xXTJ2z7mM2UfN99riyFhrL1NW1xsQZFlGZQj2KQhER11IRMq7ske4TbAd03UScyEUia= DfKKsfLg2mJkvC2Oco4ps2HbXWYt5QrHWla0vAFaoox7FgRuVKPGMbJEIjHLQ6iTZ1ELNCJHjXT= RquzFFRukYu9B48Wm37itO5bFaqqhlvEQTxCtC9KWqqmR0i+1W+PhvvIRxmoNejRGpjeKKo8xst= HpZfBW7V9iu9hvdypa1LY/Vsu6YY3JIWTzTS3BviAo2ciFqaQTGKWN5ISqsS/57u3DcXk7a3lSC= yziqcXi5uKVBGSjjqKDD2eDUUTPIVywMSnIR9FPipAJkjcLNXRUn7E7eQbt103zdnG6mi7wcLV/= LlIORqdyBom21tRUFZCpW1kk3NJwT8eCmOCYLJO490KaZJCMds3xCkFY6SSCed8XPsJ5mydiSRX= F05x7drBVRdGL2meN4p+s3ZuzFD0KZ00Kg4MX4FFQSAIgHraZ0OdxEvijdgGJl36hKbnmIXg3bA= 6hRbpXCvN30xVpVNM4CAOTo+9YU/hiUVk5RMVe7yqXbtnx02Jad6bR/43tESi8W22xXaOpjUhrl= ZniE8kVSoXLvHTuKimkYlgQ0bYVsjW3g3vS4bR3RHtS4Ofum4VklsmpmbP3fc1m8mOWNiwVE89D= DPEmQwfqGWHTp0w3IlNwHI8DwHPHI8egciA8c/PgePkOkrOvLs9tmMtxz7c3Awj13jPNKEKeflW= DU52NYyJFRbaDeMpNREpytErIxi2MuxcOfDK+kl5hEBMdAPGdRIIiHqPPHHr+r+3+vWDs9Uq92g= pOsXKuwlrrU2zVj5mvWSLZTcHLMViiVZnJRMki5YPmyhREDoOW6qZvtLrgeKToYOuCGHP8A3KQP= 9Aa7hHP8/n5aSe2k9dbPm2TElaw5Y8aVLMVepEajB0yYl5yXrNliq+2Avu6EfvWjWXZy0fEtexl= DmNHs3bVgmk2UdOkkUSpzToHtGOQbpeqbUFtr1QYJWm1V+uqPU8kzKyjNOZlWseq7IieqJlWO3T= XMqRETkBQ5SlMcheR1cRNdIXpxz0i5lHm1ynt3DtQVVUYexZAr8cQ4/Y2iYG2x0WyTAPQiDJm3Q= IXgpUgAC8EF0h+nbW5mKsELtthGExCSLKWi3pLvlJYzSQjnKbxm5Kk4vCqChkHCKagEWSUSP29q= hDEExRlLwkk+Sckk/jIAyR2GO3fA+YHz00uR7RAPdvfogByI/k9UoPQB+P02yL9vHH79Ss64m2+= 3XLbhtL3GVWGdS0ZjDHMdS8hmZJLLrxEDY4euSNcnHCCSZuyLZy7eVj37wwgVsvLxwG4SOscl9G= fun9tE3Q3RjkPOuG42/XKNgWdZZTbuy3eHVQg497ISLRiDWuWaIYHKi8lH6wLKtFHJxXEiixkyJ= EJKdCp1xGtoU8Ydk4rDeHRgCwj5IJGPVhW7QrBONdoP/MFetRZEK2VTeAuC6XcVfxO43dRZAvlY= GeguSD2PVjj6fPuNNJI7Ot6fTWpeGK9S91eySAumSaskrFnyJWKZWpg11iyrHWjZKeLJy8Ou2sD= dmolGyBiEdEkjsiyx3HmHy7dC4fa/uU2JZqwVvfrmzbAbzCT2F253iavCi1Wg643n2q1Ot7GITA= YiZlRdLM1PPCALlQBIjgwpmOJhAJ32fpI9Om2y7ucldrVHbPnqp1nCddlLpUYvxDjyYUIOp2eFh= GYCP/MaR6BQDgAKABxraOHun/tFwEyyFG4jw8wpzHKtVcUq/N21nvEkWw1l0i8brRa5pyzSarMh= 0ZB2UHEYoydl8YTFcFMVMxbnkiK8eb1ZB5YdHdSR0An2OOc9jp/P00sX7OQA/ld5bHj0/kAk/X7= P+PVH/t+A/Idbn9pT9cgbVwD4/Q/Jg8fbx75qgc8fHjn7fhphbb9sL2m7WbZKXfAuIY7H1om4Na= tysq0sl1mFHUI4es5FViLayWSZZJlO+j2S4rJNyOAFEClVKmdQh8tuJ2T7Y92EhWZPcBixhkV7T= mkkyraz2ft0KMY2l1mq8ikmWsz8KRcHKrJscwugXMQUgBISAYwDaZR5qyDqAAX2zwMe+O/z00t3= 1Bdt1ryh0pOn9nCoxL2aWwPi5ghb2Ec3UcuW1JvlbrKjywrJIlOoZjAy1SiknZilEzVtLqvjCRq= 0dnL4fp0dbqsbT9vsBgDMuLLdcouiO5gtHtNEdQoyCkJMS7yaVhZ2LnX8UiKkVJSD9KPkmL1UFY= 4zVkuwQUY+ZeN20nG1Ix3Qq7jCn19rE0OqQLWsQNcMq6kGbKAZtwaN4wyko4eu3jcjcPCOL5w6U= WJz4yigiIjCm5dKHp53uce2Ge2u0NGSkFDLuxrb620pgqucxjnU9y02xQUKkY5jCY5kY9MxjmMc= wiYedBKpUq6s4BJUdXSFyfYA899NaP2s9V/D2/F/ljGuOcdZIqElWcTWe3vH11TrZGSzNEiUULZ= uaFnpRbzJlpFNQAURTSBJM4mVA3YU9APs+wh+XlJgPPH8iV9+wf8Aryn/AA9PX9XHPy+3TWODen= 7tE22TVgsWEsOR1EmrTXHdRnnrSzXiWNIV58si4cxp0rDZpduiRRdBFTxmyKLkok4IuUpjAbqwN= 09dn22S7q5HwfhiMod1XhX1eVnWlnvMuspDyazVw+ZC1sNmlo8pHCzFqoZQjQq5RRKCapCicpiy= KqSqFI606V56sHg5JOPUegOmkfKjL44wZv6tUlvUxhMZTqdTylk9LJtGUEyz2bmnalhQjpdZq/f= Ryc2yRnHcdYyNXT9JrJMypOTGcoHBBxM3eXu06WOUNvN2pO2faY5xfmSXc1g9Wup6JWoUkQ3j7X= CSE6Q0jH2KQeN/eMA0kWAAg0UFUV/BUFNJVRQrYGdun9s73K2RG5ZowPUbhbk0UWylnI4nq3Pvm= 7cgJt0JaVqctBvZhNumAJtglV3gt0wAiAplAA1owejd02xHuHbHBiPzG+ZYH/75q8TJxlXyAMnr= JBIUAnpyAMnJ7n6aar79m3EB287hhD4fy0RQfcIUWF5KP6w5DkB9fnpj3UedvG1TAe1KBn6xgHH= rTHkFZ5dOenY9nNWWaJIS6LNKPSeHWsszMuETEZoJIFTbqpJdhAESCbkwyG1C7BmLDODjv34AGm= vhvgP3D+r7Pn9mtHbgc/Yz214vsOVcr2JCv1iAQASdyhTyU1JqAbyEBX2IHKtKTcmsTwWrNDngo= KuXJkWTd24R3gf1Ifjn803wDkfgPwABARH5eoeulUOu/g3c27tkFmh7MyNz25xTVrFx0LEtVkGe= KpxyQqDt1Yo9v3JuEbI4AoM7auXtTVEsC6MyEIwsjmnh3ta27x3bbLFdrvBZ6KrkAklmJEtUUdW= ShoyytEKypJ6IGmIjHxEh2CRSYVv/AHHcNrbZr7xbLbNc6umTKRRgNFTK3wvWVIz1mCnX+5IEDM= QuD0Llx3blUca9Y/ER8y7fGB63urwQxlGljw9NPmJrDc8cKu13jAkU5TKkjLqNHJjuoZ22ASNZG= Rkq9Jgko/h3Ros9LvqSzezG1OsE5oSky4RnLK4F+Dps7JM4ntK65WUnJkYnIV2eGcO0f90kMCQu= GjhNWUZpi88+2fVWYfzBkLA+RK5lHGFieVq31d4Dli9bHHwV0TfVdxkk25BJ/FP0e5u/j3IHbuk= TCRUhg41c7k7GGKuqxiuZ3B7eYyKom8yjRSbrN2Dm6iTVDJqKDfsG11NA/aR08dgQwtXhAEy7kA= g50ycgaNlHfZN62jbtq2htl7kjluPhddJxFabw7NJXbHuc0gaGOulw8jWxqiR3obmQ700klRQ1D= CCVBrku1bouG4bou6rDJBQ+Iltj82vtyjyqPdtDHGEmelUno+8Fp0VK6iJMtRFHT1NOeqOVdN11= ywQ9qg4ux1+UYzMHNsm0nES0Y6Sex0lHPUE3LR8weIGOi6ZuW6qayDhI5k1UjlOUeB4DOaoH6Gl= M3d1fFtlDLRX0NgQzxy2xfVLk0fEuLKaQfKJzzuDReGScQtL8wRwiDF+kYHkoB3MS2ZNk3Sry/c= vwD/NxxyPw/DXEO7LFDtncN0scF0o7xDb6gxR19ExaKVCqsqueVWpi6vKqUR5ESZGCyOOddkbVv= c24rDbrvU22qtE9ZCWloKxeiaGRHaNyBgHynZeqEsFYoRlBgEnaX/oh+wNY2ZlGMLFyUtJukWMb= GMHcg/euFSooNGbRBRdy4WVMJSppoopnUOcxgApSiYRDjnWRMchQ+sYoAPp6iAc/ZwHIh68+n36= Wp6zfUhYREHObQ8KTqLqwzSQx+aLVFORUTgYVUAFXH8a6QP2mmZcDJhZ1CnEjCJ74cwKupB0Vj6= NlbOuu+L/RWG0QMxqG66ypC/2aGijI+0VczcALGhPQpYGSQpGCCwOvPvDdls2bY6y83GVQIUZaa= nDf3aurYf2oI1AJJYkM7YIRAWOeAV5t1WUWeatyGbMqRvcMXdsj2eZiTGKYhlIhSRWRi1RIYAEo= rMEW6ogIegn1tfpyR8lJb5NsiESVQXaeU4N2YUu7kjRmDhy/UOJPUEyMk1xOI/VAvPd6c6hT+P3= fH0Dn4fHn9X8edX3dBbbZK3vO9p3ESscsSpYhh3EFXnyyCpW8nfbU1O2UQaKCQUnAwVYUdupACm= 7mys3BqAURXEE/ovv2toNneF98RyqQUW2hY6JJSC8001ELTRU4GPiLMB1HgAAkA544M2XRVm5vE= Cz9KPJPVXuK71bIAVjijq1raucgdPlr1ByE5PUwBPxcOAE44DgOPQOfQQ/iAfs+zVd3U+3W5D2Z= 7YXmasZR1blrM2u9UrJGVqavXsQLKdGT82qZuwfR6wuEwZp+AbzHYURP3ENyHFh6ZeO7kBDnj+J= h/wDn9nH2+o0p9fj9H/KfztY5/wAva+X0Sg+WCOMrxjp9vTnH059tfRsZxz3/AGz6fl2z66pb/w= BkSbzv8BcG/wDlyzf6V6ykN7RZu5ayLZebxlhWXjSKFF0waxlnil10eQ8QqT4LE88BXt58M5myx= Sj6mTNrY/s/+3nBudI7cqpmPFNFyWeuvsdFgjXOuxs8MSWRb2cXxWPn0FvLg6Fm3Fbw+3xPCJ3c= 9heLSOof0qdrV620ZNn8TYgqeL8qUGoT10p0zQolKCLJPa1HLzK9emIxgLdhJM51mycRZFl0DOo= 9w4bu26hioHbLewtTiQRtEQDj4gxOCQO4wOBnk/8A011KPp9dRDF2/nHstN1ZmvUMh01Zk1yBjq= TeJvH0GaSKr7smIx8RNAJityxmrxNnIkRbrN3LVdm9bIKg3O5iblzrNQmKN6LjZ0vguXmZBvk2l= Y3+nKV3Zs2hlbmeABKV9yqV5dUE2ATxRO195dy/ljAVVMFA7F0eixliVxh1BcQsGj1RvDZQQsOM= rI0L3ClJM5uHdv4dBQA5L3trTFQD5M5w7iFbqETMXx1AG2HcPvixFTupe7whKbH8CW22pZvxhVj= Ztm2omvqkjOmqPlLQdUkYoPvaE94oDHmK6EQ93tQBUvxLG8aq7r0lgIyV5Iw3BDfPB/5dNNGB8A= 9efQPX5+nx/HX3UCt9PUExBsLx9GWXICD+03C0KO2dEx1Artm01ZnLBJMzx25eOvEQhIGPOu2Tk= 5ldByKB3KKTNlIOjlbDQy/9pSyOd2v7q2vUlJn4pyooPb9Ou3aZO7lMqy6EKySUUEglE3Y1REB5= 5TLyAajWKRgGCkqex4AP0yedNNt6o+zn1nIXC28h7tHXwTLTzxnfabRvpqjeWbFqdS3EhDkkPcp= 68uqQjEJkO5AZARX8uPCqXifVjps166mRt0W5vEuA5bAdLqkdkidkIh3YI61zkg+iyMq9MTYLN2= bhmmiuoc8WVASKHIUCqmN3AJQ14HdLviw9RupBI4Zm9kGArzbEsrY3r5sx2BoJryq+mk60ZpPqq= +61hLIwvm24R5vNGEAYNgA6YD9UEZXKuhI6OrIbkcjuPYDOe/7aaug6j25S8bSdpGQc7Y6YwMnb= KpIUtpHsrK2du4ZVOxXGDgHhnTdk8YODmTaSKx0BI5IBVgIJgMUDFHQvST3wZX32YhyXkDK8TUY= WWpuSi0+ObU5jIsGK8aNXhZoVXScjJSSh3fmpJYniEVTJ4JEy+H3AJhqi64XUJtwyuZdg/wDJpC= fRcyWLZocijKyYTHcVKsX8W4RngjHiAPCAwE4rc+WHxO3xhDmuDp79Ve7bBMdXbHtYxBXsjNbrd= yXJeRmJyWinDBwEFGwYsUko9sukskYkaksBzmIqB1Tl7Tk4Et6xMYDIQo5HqOBgHvx76afg0apU= 31dVK8bRMP7WcmQmIK5c3u4SnBZpSKkp2VYNa2v9GqpOi1YuWTdZR2l4tiXbgdyRMwptUz/nqHI= SsgfaTMtEKJ1dr1DKmXgTmG62QoAXn19RjRABH4AYeCgPx+Oo1jdxlVJGcZ47/wAOmm4Tc9puPj= wPH38enw9f2aWotXV+3IwXUhT2hNazjFTHJ9x9VxGMstDTRrT9HJuxw0S6dA8LPFY+8yN36xkVv= IeAVQCCZuYAEBnn05Oqzjvf0vZKYrT3GLsu1SLLOvag5lyz0XYK2DpBi4na1MAzjVlAj3rtshKx= j1im4ZecZKouHyCyiqK2ORP05zb+nLjv+vNX1JHHl5UkQjoi6ufckAfQ4z78HTT2JOe0vI8jx6j= rlriT80Px/iOuWoO2mjXn7TWYK4QEvWbLEMJ6BnmDiKmIeTbovI+SjniYoumjtq4AyC6CyRjFUT= UKJTB6cfDXoNGqqzIyujMjowZXRmR1ZSCrK6kMrKQCGUggjIIOo5I0lRo5FV0ZWV0ZVZHVhhlZW= BVlI4KsCCCQQRpKnqg9LuxbU5+Qy7iKOfT23qdfidwgmJ3spi2Tdq/UiZfgVF3FYcqHAsLPnE4N= z8xUudFwRi8lqrcR5cyDgzINfyfjCxPKxca27I7YSDQ5gTWJ3B48fIt/70/i3yYCg/YOCnQcoGO= moQwCHH6RNnrMHcIKUrNkiY+bgZxk5jZeJlGyTxhIx7xFRByzdtl01El0F0lDJqpnIIGIYwfHgQ= TS6nnSysu16flcv4YjJCybfplyd29YtyLvpfFT5woJlY2V9DLOqooocfcs6ICZmQAipkwOkmj6V= 7Z8HPGel3PSpsTfjwS1c0AobfcK1Y3p7zAyFBQ1wlzF9sIxHGWQrV8KR5pAfkDxW8JarbtY+8tm= pNFRQzCrqqKjDie1Th1cVdGEBZ6UOeqRPiMRyGDRFgL3tjXVjwBubq8RB3qwweH80IIIt56nWWQ= bxkJNPiFKkeTpM09VI0kGL8xRXCIcOE5uMUOq1VQfN0UpV3Ylc8+YTx3CL2O8ZVoNXg26QLKSMz= aYZk3MQQ5L4QquymXOYBDsTRKc5xEAKURENfm1fAQMHPICAgIcgICA8gID6ccfH5/D7tf0LunTo= CA5cuHAJl7CAusqqBCiXt7SgoYwFDt9AAOAAPQNT3n+lqxVt4lqbRuKqtdsmmMjWx6SOtkp1Zsy= RU1U1TGwhjyUh89JnUdKuzkZMNo/qPvdJakpa+y0dzr6eKOFa8VMlMJiqhFmqYEicNLgdUwiaJS= clQPRlTqBdbok9GzGJtnDx+i0fJuY+eza+ZLRjszZcpk12uPIx4mm9aidNQyR7NLNWrtIAVCJYp= rGbTCa1bp06fOXD165XePXi6rp27drKOHLpyuoZVdw4XVMZVZZZQx1FFVDCc5zCYwiIiOv5/v+Y= iPH6/t/WPz+epG7Z9quaN2V9a0PD9VdyyxVUDT1kdorN6rUo9VQCHkrFLCQUWqRC9xkmaYqyL4S= imxauFB7dbl2ztPZvhZYqwUhprbSwRme53e4PB9tqengS1lQyo3QD8MVOgjhy/SiF2B1qW/bm3Z= 4i3uE1b1FdWTOY6C1UccgpKcN0/DT0Y6lUYCmSeQGQjDPJ+HGE26bfMi7nss1jEOMolaRnZ94l5= 594Sgxlag01UwlLHOOSkORnFxjcxlVFFPruFfBZtSLvHLdBR/ja7t2pG1vDFMw5QmpU4qtRwe8Z= I6ZCPbHYXnhrzdjkzFE/iPZV6CixgE5it0AbsW4JtGjdJPTGxjYli/ZLjlOuVRJGdvU+i2c5CyE= 8aJpytmlESDw3bAPepGV2POdQkVDpKiRIBO5cqOHyzhwpOspRKP2cccen4enHoAAHH2a4o8ZvFq= bxDui0Fs86m2vapXNJFIGR7lVYMZuE6ZwoVCyU0TA9CM0hJkfCdd+EXhkuyKBrjclim3FcoUFSy= 4dLfT8OKOByuSzk9U7jHUQEGAuW56pP6/H6P8AlP52sc/5e1dhqk/r8fo/5T+drHP+XtaST8a/+= Q/fW6NQa9mp/wCC913/AI/Fv/t7hpiXctbIii7fc1XGdWTbxFaxZfJl+oqJAILdjWpFU6fJxKUV= Fg/uSJO4DKLHImTuMcCmQW2YdRHPexNC+N8KMcevSZFVg17AN6r0tOmTPXySKbAI0YyxwINiCWT= cC4BYrkVTeH2CkCZvE2Hun6tW8Xd3QVsV5EsdTreP5Fw1XsFbxxW3FcStHknCbtm1nXr+YnJZ0x= QeIoOQjkZBvHLropKO2bg6KBkfQ8EnmdWVAPSeSB7cd+/p9fX0014fpbwj2w9QXa0zYpHOuhlKM= mlQSATCmwgW7ucfrGAohwmkzj1TGHngCFOJgEAHUp94v6bqR9OP99Hgz/GY79fx+OptdBDYbeGm= QXW8rKNakK3XIauyMBhphNsl2MlYJiyoFZzN1btlwSXJBxteO+ho5dUgoS7meXdNe5OJ8RSEu8X= 9N1I/0o8Gf4zHery4aViCCqx9x2AyCc/nn9vbTXd17LpN2rqDWCqvFze7sfY6xrWoJE4mBui3mo= YtxeuAARAnetI2dwDhTgDim3SIJjFSTAjYGCNgO0/D2KqbQY/CGMbGrAwEW1krTZqRX52w2WYTZ= JBJz8rKSrF46WeSb3xnpkyrFbNCrFatEUGyKSRF9/aCNoN7HLFf3bU2uyE3SJ2mRFMyW5im6z1S= tWGsLvkYmcl00SGM1iJiBdR8Um8Eot272EFJ2okd8yKt47BntEGWcaYvqFCyJgaBypYKpDR8Ae9= o5Ekag9n2MU1SYMXszEqVK0onnFWjdI8rINnzdvIvTLOyx7QVTEGHpkeKEI3Cj8I4YEYPJJxjPf= 1Gf0ajZs4jo+H63sPExLJpGxcZurzzHxscwbpNGLBgz/lMbtGTNogRNBs1at000G7dFMiSKRCJp= lKUoBrs34/ppZn+f/Cf+IpGvA9Oi/Hyt1csSZQUiywZ8jZzybejwpHZpAkQe2wV9njxZZAzdmZ8= VgZ+LUrwzRqZyVIFjNkBOKZffb8PXrSTP8/+FP3I0gNTjiaQE8mAjnHJIAA+pPGmmFOuLSqf+QB= mm3/RWu/SwJjFqf0n9yxv0g8Mci1RmKYzPlvePh+U/wBq9nme3y4ihx4QiXUNPZ38eUK47b85Pb= ZSqnZnjXNybVq7n67ETDps2+gdXV8ug4kGbhVFHxVFFPCTOUniKHP29xhEbHusjSLJkDp4Z6hqp= FvJiVYNafaTsGCIrujxVUvFcnpxZNIoCdTyUOyevTkTAxxTbH7QEQ4FXnpodVpz0/ajkahSWHxy= lXL1ZWFuaqsbkFOlIWabRSMM9SVMtW7ChJMX7JowEhAKxWZOGpzgdyRyJEYo+aZkBBbK/DkA90/= XsedNMx9STfrtw2PwlKhL5iaGzJfptk4WoeMhZ11u0iK8y8Fm4mJCUloiaTrEIZdJOPZeQhX679= Voqg3agiwWUbUnTvXXwlZYeQgpzpnYlkYiXZuY+QZLZAroJOmjpIyDhI/h4KKoTvTOIFOQ5VCCI= HTOBgKbWueu/CXS/ZL227ohrsoyxvlrbfQmzBcwjJMa5ZDO564Pa06kkkUEivQi7fHrILKtmRZU= EXyjdEoNFiI7Kx31u9uFNo1Qqrzp0UBd1XK3DwjleKstPQjnTqNYINHL5qg9xS7dIpvlkTOgRcO= nSyPi+Gq7dnKZwpcsS9Ct5bu3qQ4AHIOAAw7c84J9/bTUQOiVKCTqa4hNEIKREZOMMytjxfnDu/= ChzYwussyi13YJIC/BmvHxxxWUbNwWcMknApJj2lLnsifpzm39OXHf9eavrEdGqWQn+qhiSdasS= RbWad5yl20YQ5VCRzeQxTkd4kyKoRJAigNSLlQKdNu3TEEw7EUiAUhcvkT165rYfnvlx1/Xir6l= IAmmwOlTTqBk5+IEDGSfz9frpp7En5ofj/EdctcSfmh+P8R1y1+fpo0aNGmmjWPk4thMsnUbKM2= shHPmy7N6xfN0nbR21cE8NZu4brlOisiqQTEVSVIcihDCUwCURAcho1UEgggkEEEEEggg5BBGCC= CNWsqupVgGVgVZWGVZTwVYHgqRwQcggkEEHVCu6voTYNyvMyNwwNZHGDbHIqKu3tXLGnncbO3Sn= iqCaNifNN5OqeKsce5GLeO4Vsl/cmEA2AqYFrNc9ALdum/Fu2v2FnLHvEpX55q1NzdnxA52hqoZ= QphDgRKBzAAiId3IacaEoCPI/Lj+P+fXHwi88/W9f18fw1tyx+OvibYaSO3024GrKSFemFbrTQV= 8kIHSAqVEytMVAGAJC+FGA44B1bePBnYN6q5K2e0NSTTENILdVy0cTsOOowIrwoeSSI0QE8nnS1= eBPZ8KtGyLCa3F5ifWhsgdNVzSsbsFIGPemTVAwtn1rmCryijBYgCRwlGQ0S+HuBRpLtTlIcWAc= RYQxbginsKHiWlQNHqscBfAjINkDfxlikIQ7yRdnUVey0iuBCi4kZJy6fODABl3Chg51tTwy/s9= fs/za56xHdG/t3b0ZTuO9VNdDG3XDRDop6CBu2YqOnEdP1gf9VozIQSCxydZLtjYm1toK33FZ6W= jlfPVVHqqK1urHWGqp+qUKxAyqMqnn4RrgBOB55+f2fP937tc9GjWIe3yAA4xwO2suAA4Hz/zyS= fc/M6NeJv2Ncf5UgTVbJdKql/rCjps+Urtyr8VZYQ71mJxauzxky1eMjOWwqHFBYyAqJCYwpmKJ= h59to0x2+RyPqNV1Fn8h3Zp/wBlTbv/AOjWPP8AR3WTh9nG02uyTWYr+2nA0JLMVSLspOLxJQ2M= gzXTHuTXau20CkugsmYO4iiZymKPqHqACEk9GqlmPck/Uk6a6ioppoggiRNFIpAImmmQpU0ygAA= UpSF7SgUADgChwAB6BxrRsxte252C5myPOYKxDMZDNKMZw15lMcVF9bTTMYZuaNlDWFzEqS5pBg= LRr5R4LzzDcGyHgqE8JPt3vo1aAFzjIyMHknjtjk+2mq/d+O/jEuxWsUeSy3TLbc4zIsnMQDJlU= mUG/FM0UxRduTSTadk4xuLVdFfsIBDOBE5TFOn2CBhpLlurN0lZFR9Iuun60lJVcqy513+E8EeK= 7dGA5wM6dHeLKmOsqPKq3hqqcmMfsMPBdMaZ42rbf9zjGBjM840hslMKu9eSMA1m3Ms3JFvZBFN= u8XbmiZCOUEy6CSSRirHVIBSFEpQNyYY1D0k+nQI8jtYoo/fJ3Lj8Q+k3A/jqZGiAHUr9XqVYAY= yMeh9M/njTSv3R+x9M7g+pxG5iq1NbVLHtEsOTstT0dCNE0K7TGFli7XH0+oRwoooMUyFmbBHsI= 9ggREDw0VIrNkCIMzgRyCe2u7crRcVciWXBOIJ+/ryDKVWu0zjioyVrVk40qJY+QPPvIpaUM8YF= boAyci68Zr4CAonIKKYlz2IMD4bwDWwqOGMbVDGtdFYXS0ZU4VnFEeuxICYvZNyikD2WfCmAJi+= k3Lt2KYFIKwlAADbWrXYM2VyBgAZPPHvjA76a61Ek1UjoqkIqkoQU1E1CgcihDB2mKchuQMUwCI= GKbkBARAdRokdlu0SXduZGV2w4AkZF4sq4dvnuIKC4dOV1lDKqrOF1IEyyqqihzHOoZTvMYRMI8= iI6k3o1ZprxE3jXH9lp6WP7DSqnOUdBi0jEqhL1yIkqwnGx6REI+PJAvGi0YRkyRSRSatitipIJ= opkRKmBC9ukPyHdmn27VNu4j8xw1jwRH9fI14R/aIj+vUptGqgkdiR9CRprQNM2q7accWSPuOPc= BYbo1tiQdFi7NUsaU2vT8cV+0Xj35WUvEw7R82K9j3Tli6KkuUq7RwsgqB0lTlHtcbXNuLq6hkp= zgnEC+RSzrezkvi2OKirbyWJm4SdtJwLEpEmmPezZygiujIedB0mqkmcipRIXjfOjTJ55PIweTy= NNfCgIAACPIgHHPw5/DkePu5190aNUAwMe3GmjRo0aaaNGjRppo0aNGmmjRo0aaaNGjRppo0aNG= mmjRo0aaaNGjRppo0aNGmmjRo0aaaNGjRppo0aNGmmjRo0aaaNGjRppr/9k=3D" width=3D"22= 2" height=3D"97" alt=3D"Logo_cicncia_digital CON ISS1.jpg" style=3D"margin-= top:3.3pt; margin-left:211.45pt; position:absolute" /><img src=3D"da= ta:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBA= QEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEB= AQEBAQH/wAARCABVAKIDASIAAhEBAxEB/8QAHwAAAgICAgMBAAAAAAAAAAAACQoACAYHAQIDBAs= F/8QATxAAAAYBAwIDAgoECAoLAAAAAQIDBAUGBwAIEQkSEyExFHEKFSJBUWF3gbG2Mjc4ORYXGB= kjdpG1JTZSV3OSocHR8CQ1QkZmeIKXstXh/8QAHQEAAQMFAQAAAAAAAAAAAAAAAAMGCAECBAcJB= f/EAEMRAAIBAgQDBQIKBgoDAAAAAAECAwQRAAUSIQYxQQcTUWFxIpEIFDY3doGhsbTBIzJykrXR= FRckJTNCUmJ1s4Lh8P/aAAwDAQACEQMRAD8AfnYy0bJoJuo980etlSgdJw0coOUFCGDkpyKoqHI= chg8wMUwgIeYCIa8j0wGZuBIoAGBI5wMUQMIdoCbkPX6OOQ9OefL1182/G+ccyYefkksXZRvVCc= lOkcwVmyysW0XBE/emV3HoOPYXiRDefhOmq6Q+gpiAiAvk7EMmXPMWzjDGScgyoTlytNPdO52X9= mbtDyDltJyscRyqg1TRbkWUbM0fGFFJMp1AOp2FE4hrcnaj2N5n2aU1DX1GbUWbZfmNa9DC0UEt= POsqxd9+kimMilDGG9oE3II087ae7O+1ui7QZ6/L0yqpyutoqIVbl50ngkRmEf6N0VHUhyBY77j= cc8KvSPVj3u4Nzhk6HjcoFu9Sg8m3uPZVTIMSwn2Kca1s0k2bMUpUiLSxtkWrdFNJomlMgk3ImQ= hUjJl7BPR04uqnG727JLYtsONnNHyXX6orbHbuLkE5WpS0UwkYuKfKtzOARlIt4DuXZGRYrpv0T= oCsqEgUUgIonxuB/Xzmj7Vsifm2V0W7oBlAu8m+CH+Yeyhz9Y3GhCH+wB/s1IjtO7MuCT2YVvEk= GR0lDnWXZJQ1UVbQKaNpZQKSJjUxwFIZzICWZmj1Fmve4BGiuz3j7i5eP6HIpc6q6vKswzqqppa= Ktf41FHG1RUgfF2mDSw6ABYLJp2tYC4LkhPT1Afd83kAcD9Ycca9CWlGcJGPpeRcIM46MaOH8g8= cqAi3aMWaKjh26XVN8kiTdBM6qhzCBSkKYwiAAI695MBAvn85jD93OqMdTO5PqHsO3PT8aqog+N= i6chEF0jdiiP8JgSrqqpDgICU6aMmoYolHkBABDj1CCUYDBLC2vSSB0L2J9xJ9cTVBJ57H+W2FZ= 98fWt3I5jyTaK5t0vExhvDUXJvIqtu6oCTC7W9o2XUbo2KTsRkDysUMn2i6ZRUMrHiyarItnir1= dPxjVlj8xdXaYYtZOJue/qTjXyKbhnIRp85PWTxuqUDpLtXbZuqguioQwGTVRUOQ5RAxTCAgOs4= 6K2GqzmPffQUbfHM5eGx/AWPIxYt6imu0dTEEi2awSiqChTkUCPlpJrJpEMUQ8dmkBuS8gL75EU= 0wECF4AfmDyAPcAeQB9QeWsyRlitGqD2eu+9wp+/wD+5YrhY/pvZQ37w+1bfhdMrrbiZ3K9Oo7S= bwk0zNB36elXNhY1q2PCNqrB3Jmo4mTLyLeOI7j4tuuLlQrdJVMTGIUbbdInczvn3A2HN7XeHWL= TXWFXh6UvRhsWJX2MyOnkm9sKc4DZV7DxnxsZFBlGCdJMyvsZVCnMUvtBREim+Cy2CjbPtzNzqE= zIV21VnCmQ5yvz0W4M2kYiXjKzIOmEgyXL8pFy0cJprIqAA9qhCm4EQAdAq6Gm7vM2SD7trNuFz= Fcr9XMZ0WkWVBa4TKsmlX2Kat1eTztn4/BURWZxiArjz8sG6Yc/J40gTdHbQSb81BJFytgABbff= w6+eDDP3iEH0OQfLn9IPTjnn19OPP3aneT/LL/rB/wAdJFZN6nnUQ3y57d4+2mP7jU4eRk5ElFx= 5jJKMZTq0FHmMBZi02l6CZk1jt+HUk5cScdCMDKlRJ2lKVRSzOBsKddyOzXiaRyk7zWONmWRKi6= vhZPM+LZCPGpITrI8+D6OZXx09etBjCuQXatWrhddLuIiiocxSjeYCouzxqbX0swDWIBF723seX= TBhtzvIPoco/wDqD/jqCcgeYnKAeY+Zg9ADkR9fmABEfq0kTv23fb3Y3qD5swthfOmWo9srlCPq= NDo1bsSrNqV3Jx0IhHREW2OKTdEHT94JU/EUIiKi3eKgFN3DrPK2aesxtRSrd8zJdtwtGhnUum0= iZO3yMdPVh7KJpGdkjH5Cqy8QZRw3SVVKxkgTM5QSWMkQ5UlBJUU7EITJGC6qwXULnUAdvft4+m= +DD4fcUQ5AQEPp5Dj+301x3kHng5R49flB5enr5+XqH9ofToIGOOrKiHTGdbycgQUe7yPX3rnGS= tXZHFhG3DKyaybOKMyAxjqM4qSarpWaVQQ8VWPjm0sg1E5myJjAGq28Dq9b27jY5HClsy/PGilA= cyELiJkzrVSq7d4dUzNkq7KRk0SESAdNoWWlXMi5TSMoJ1jFOfSaxMw1GyrexLbAEWv7r7+hwYe= Vt7x4yq9hfRX9JKsoOXdxiaaXtKij9vHuFWhE24AYy5zOCJlKkUpjKCPhgUe7jQAOmHu56i+ctz= ktSt1VRuMDi1pj+0zDB9PYSksesT2RhM15tEolsDqDjUV1lGTyRORh7QczkpDLFIbwBMXXfTmr/= VUq2Y8gTG8BXOTfF7fAuSTRLi+2KNlIZG9pKQDivqt0GMo9WTlE2aEwdouKIEImVwBjh3gBtC9F= DdpuWzdvSsdKy5m3IWQak1xJepdvA2eecSMajKMbDU2zJ6RuoAFBw3QduUklPUhFlA54MOhl0JL= Yq5VQbqdQ5qeY93vvgw3B3k/yy/6wf8dcCoQOBE5AAfIOTAHIgAiIByPn5AI+4B0pNnzCnXZk84= ZckcVu81Fxq/yRc3dBLGZoxdGxxagvPv1K6DCPfXxq8YtPikzQW7V02broJCQiqKZwEoUuyZuR6= xGw640+azxdspV486dd1CxeQZus5CpdpQjjojIxi7iEkbBFiqQi6JXjRvKR8wg2ckXRO38RJYbh= CSAQ8ZJAOnUNQvbmOYtffBh6319NTQI6T12tusrTKjKWqLlIe0SVYgH9kiGR012cXPPIpo4mI5o= uoYh1mzGQUcNkFTlKdRJIhzFAREAmrO7k/wBD/un+WDCdRvQfcP4afg6YP7v7bwP/AIGk/wAwT4= f7w0g+b0H3D+Gn4emF+7828f1HkvzFO6nL8K3fhXhcePET/wAPnxC34Om3Eue/7siYH/xq6cj7z= hHvcD+vnNH2rZE/NsrouHQE/bHvn2E2T830XQj9wP6+c0fatkT82yui4dAT9se+fYTZPzfRdbB7= TPmTzz6OUX/bR4ZfAHzrZF9Iqj8RVYciJ+iH3/iOqZ9Q/Hj/ACpsm3KUqJbqu5aQxZZH8U0QTFV= Z1IwDUZ9m2STL8o6i68aRJMoeZjnKX5+dXMJ+iH3/AIjrouim4SUQWIRRJUhk1CHKByHIcokOUx= TfJEDFEQEDAICAiAh565qxmyoRzAUj6gMdBsfPk6TW5GpbYN6WPrtkKSRg6NY4+boNonHfyW0G2= sjYgR8m+OACKDBrNtI34xc9va1ZmXcHECJG0+gwzbh2UaIP4/KePHjJ0kmu1doXStqIOEVSgdNV= FQskJVEzlMAlMURAQHSwu+noI5El8mWXJGz93WXlStsm9m3mKbFJkgH9WlJBZR0+bVWVdECJe15= VyoodhHSDmPdRCJk2SSr5BMFEx9F6IXUjIXtLieGKAB5FLk+jgHuAAnQANZZEcx1NKqGwve+/Ib= eYF+nutgw3LvsuNVtWxrd+FZscHYAZYAyaV2eElo+VI3MtUJUyRVjMHLgEhOBTdgKdom7TdvPab= hWLpRNZV7td6qrWEIspJrbaY0jZNuBhXU/wbkUyxEwJ8oTGQBUAAvmPpwPPAkf2LdOndrhXaBv7= xLkqjMIy8Z2xwNcxtHJXCuSyErKHq1sjARcP2Mk5aRhPbJRkmKr5VBPsVMcDCVM3Gy+jF0+twu1= SS3ItdyNEi4KByhVqXBRKKFkgLEnLJRzm1FnGjlGFkHotkjM5huTlwJAXKsqmAD2GAbV0qjjUGG= oEb8wNJHUHmT4bmx6YMLM7Jahu5vGVZOt7MZ6Vg8quaq9Xekgr7XMfTElWGr+PPINGkjY5eFRkE= 0nYsHbmMZulHJk0QeGbnQaKqonb2tbcet3XdxGHZ3OFmye5xDFXyDe5DbyudqJPRy1XQcgeTSew= 0fcnr2SQOj8k7Ru0cKKgIEBM3prTe4noU7qcW5gkb9svtLSaqa0w6l6ikhdDUPItFB6oqp8UGkn= SrFo+bsSKmaM5dhLpu3TUOx8yRUAyyuTYC2Q9Z+s5uxLYMk3bKDnH0JkOoSt1bO9xbaYaOKyxm2= TmbSdRJbasaSbKMU1yrMASWFykJkPCVE3aZeSVXBKtHYgD2lBOwAI3NxuPDl5HBioW4ECj1znPA= B2ju8xePAh9MnTRHnn1HkfMfPkeR5HnkTifCEyELsdrwlKUB/jspocgHmAfEdqHyH5vMOeQ4HnV= N8udMreDa+qatuchcexTjDxtxFEvxLAa5VhF2Nag3tbWkXgwq0knKgdFOOdCVv7J7QqJC+GiPeU= NFK6wm2HMm7La3C4ywhW2tmt7XJtcsy7B5NRUEkSJjYqebOlgeTDlm2Mciz9sUqIKeKYDGMBOCD= pF3XvIiCLKqAkb2KqBy9R4YMLEzDeRU6KNOcNgVFg33tS4yZidwph41CdpshW48gDxu8hBNwHcY= AAe4wBo4nwdubpq2069wMe6jgucdlyae2dkRVEJMWL+FhSwTxyjyDgzJRFu4btVhKKQqtXKZRAy= amsy2U9NOzn6ceSdoG7CuEqctdL3ZLBHLwsxET72vODIQbmrWqNeRq7pl7dHS0cKp2Rlv+lNSOG= LkQbPVOQ1THRL6k2FrjKkwnLRk/GKqKt2dzoeTUqC5lozvMZv8axUnIQci0X7AKZZl4j5s3cckS= ePCEBwe4OsiNGzBPaLhjsCTba23W/kOZNsGHPMj9o4+u3AB8qpWMAEPrhnvA8/8jpLLoPTDaub2= sj2B+Y3sUFt8ytMOxTATKA1jJypPXHYHA8n8JA3aHA8m4Djz0SHpv7Keo7h/Nd6sG5h1aHtBmcF= 5DqcW2mMvMrqzUuM05rgwpfihKwSPgKC2aSYEkDokI2KJ0zLpeOBtYt0oemVup21bobffM948io= PHllxHfKQo6bW+tTh3LuyytdUSZqM4eSduyJuWDJ93rmSBNMSgUxwOoQBTsixyrqDOVAWxuDexI= +r157eODA5w3qdTzf9uQtNW255BvEa8cHnZqs43olthqHB1ynxDlNuQV5CTfwzN44RRXZg8eyUk= s9ePHBhSACCVFPRW/DEXUkxvV6O/wB8crdJSryE9IM6SNoydVb8ilOEYpqyAtWsDZJteOVMyAoK= LLot01SFAgHOYvGrr5L6Ke/zCebLHZNqcuSSrS8lKrU27VTJDbHtuZQEmudYkNOpvJKHeJvG6ag= NHgMXDuMeAkDgpx8QiSGAZB6VvWDy0zYR+UW9iyGxi3Kj2OZ3PO1fsjVg8WT8JVyyQlrS6Tarqp= ABFFESEOoX5JzCAFAqylLKQUGwBtYHkBvvt05jc/YYBuAcBwHoHkGpouf8xz1Gv80EB/7k0T/7z= U0uJUsLuL2HX0/mPfgwOM3oPuH8NPw9ML935t4/qPJfmKd0g8b0H3D+Gn4emF+7828f1HkvzFO6= mp8Kz5LcL/SJ/wCHz4hb8HT5S53/AMG/4umwj3uB/Xzmj7Vsifm2V0XDoCftj3z7CbJ+b6LoR+4= H9fOaPtWyJ+bZXRcOgJ+2PfPsJsn5voutg9pnzJ559HKL/to8MvgD51si+kVR+IqsORE/RD7/AM= R1211J+iH3/iOu2uaifqL+yv3DHQbFJc89RHaLtlvf8WubctMqTcxhmFgLDL1+0yShoiTVdIsXn= tEPDP2YFXOyclBP2jxSikPeQoCUTaW/nlunN824mL++n34A/wBlZEf9g6W6+EDft7kD6MKY+APq= /wAJ2zW5cOfB97tmLDmNMuR+46rwyeSMf1S+NYJ1RZZ0eNJaYFlNoxi7xGbTBczUHhWyrhNEoKd= hlCELyBQyRDEERmYr3ihreWwP5/Z54MM14G327TNzEkaDwxnCmW+xlIqqFXBw7hbOuigkZZddlA= WBrFysi3QSKY7hxHtHSKAAPjHJqxtwvdJx7Eknr7b6zSoNR2kwTmLZOxlejDvnCayqDMj6WctGx= nSybddRJuCoqqERVMQggQwh85jcPt9zh0/9xSdMsUmMDkClOYi30y81B28bNpGPFczmGsMC+ORs= +STFdqs0XQXIVRB21dtFyqlTMJ2dN0t6x1v56UmBMh5nzZXdvLSy3env566ztbmbFFr32sRl1rc= vCNYquAo+RNLv0JWTZqj2pNmzfwlQ5OUBteFU02b2HAJK3JBNriwH3XwYPpUL1SsgxZ5yh2+s3W= FI6VZHl6pOxlhiyvUCkMs0M/iXLtqDlEqiZlUBV8VMqiYnIUDlEcq0J/o645xlifaW/rGK83wWf= 6v/ABp26TPfK9XZussSyTqPrxHcGaPnyJPRcRyaDdU6/aCJyPEwKIiQw6sRlHqN7IMM2V5Tci7k= MdQtojVztZSDYv3lmkIl2mACozlkKqymjRb1PkPFZP8A2d0nyHiIl50lov7I1NblswJ9Rs3v5jB= i7GtcXPMWJccPGsfkLJ+P6K+fIGdMmdxuNfrLp42IfwzuGiE1IMlHKBFP6MyqJTplOAkEwGAQ1S= Qerx05Q5D+U/UuQ+mv3wvPuMeqFKP18D5eo+g6GJ1lMMbcM9ZLwjccmbw6Xt/Kri5Veqxljot0t= KlpgZSWNKN55mrX25iMm5gclRFs8Ik5Exe4SF8wAEQ1Kp1pq2Bs5va3kT+R688GGF7hlnH9HxnO= ZinrNGkxrXaw4ucnbo5Q0zFFq7RmMgtNNFogr00kyFiAOUFI4rr2lMSmQBQDF50xtw3sbbd2j20= sMBZGa31xS0IxzZSNoewRXxajMnepxpzDORccC/tKke7KANxVEnhCKnYBidw09024LbZgfpfs9v= Etm2AlrPetlrau4gcpw1iZlyewToTWBhZyJQNGLEjEJ1VJFdu2mHLRVArghVh4ATaEH0Kd2u3ja= xZdw7rPuTIrHLe5Q1ARrasmwnH5ZNWGd2hWSTTCEi5MyQtU5BmY4uCpFN4xQTMYfLSgiBVnN9S7= DnY2seW3ien54MOq6mqjZC33bTcVUPGuTsg5kg6zRMvsV5PG9heRdlXbWpg2bMna7lk3Ywjp8gm= m2kWSpvbmrQwA4IXt7hEoaVL1eenIYwFDdDUAERAOTQF7IUOR45Ex6qUCgHziYQAA8xEA0mEJOo= Kx8wCR4dNsGCPqnBJM6g+hCiYfcHmI/cHI/dqjuIuo/s9ztktnh/FeXmNpyK/NKlbV1Ku2xgqqM= IksvJcO5OFZMSi2SQUMbvcl7+0QT7xENWTx3mLF2bKQS9YjvlYyJUZBNyi2n6pLNJePB0ilyuzc= qNlDnZv2wnIV0weEQetjmAi6CZuQBKDo7AH86LUg48gWyyIe/wCKJfSkaCTvAbjQp8iGBA/PyOD= D2QeYB7tTXBfQPcH4amk8GPmHm9B9w/hp+Hphfu/NvH9R5L8xTukHjeg+4fw0/F0wOB6f23gOf+= 48mA/fYZ3/AJDU6PhWfJbhf6RP/D58Qt+Dp8ps76f3G/4umwj1uB/Xzmj7Vsifm2V0XDoCftj3z= 7CbJ+b6LoSG4EQ/j4zT9q2Qfd/jZLfPotvQFOBd5N55+fBVkEB+YeLfRQHz+oRAB+jkPp1sHtLs= exTPBcfJujbmOQeka/Mbadx5b4ZPADD+tbJNxtxJUjmN7VFTc/by/nhyQn6Iff8AiOu2vEkYvaP= mH6RvnD3/AIeevLrmon6qDroU26j2RfbyJsfPHQdTqF//AHywjt8IH/b3L9imP/7ytmm5Nj4B/I= 22sBwHH8n3EIccfMFDguA+7Sjnwgb9vgv2K4//ALytmr6YB6/+33EGBMRYpl8JZklZ7G+L6XR5B= 9HK0okTIydXrUdCuHLJVxYyOSsXTlkdRI6rYqxUDlMZED/I1mNG7wwaVvpUoR6WIP138+V977Vx= pz4SPHxSWZ9usigmiWYc44s7V8chSgsdg0sSB44qogAGFMirqQBEDCIAJlO3jkdVutTh4r0FaCm= 5MoKLfeSoixAwmEpWoxF2WMVPkeAILpRwcShwUDiI8ciI6o/vq3i3PftuCNkx/WTwDL2CPpuPqK= ydKy7qKhUHLlZqzM8TaojIzElIPHDl0sgxQTOssRskmRugQwGg374Bl9tfRH25YwsjQGVqa5co9= htTUU/DWaWC2w2SLG/j3XHkZzF/GCUYsYe4RUaGApuwpebzZFhjb/ELBhbcgEeW4IIPMeh54Ma5= 23bgrVtw6F+U7VRZVeCuFt3AWXG8BMM1DIPotW1MKsWTfMF0xIs3fN4FnLGZOUVCLNHHY5SEFEi= mCrnTA6Vqu/8AiMgZJveRZeiY+qliTqjV1Cx7SWsdmti0ehNyoePKKC2aM4plIRKrhdRF0u+Xku= woIezqrL7mxniiwZV6C2RxrTFzJyOO9y8xkpZizTFVwrEwLGsx04uVMvJjpR8TNPJJyAFHsbs1V= BMXtAqnv9Gjqf4R2dUbI2GM/nn4GsWK5myFV7hCQD6yINpN9CRcFMwczHRBXEskCiUDGO4t40YP= Ee871F6ZqAt1FqMxVZNOz6135tbSOXPb3bGx8zFD+p7sqqexDO9ZxJTLnYrvFTeN4q7LSdlbRzR= 8i9kZ6wxJ2iaUYmm3FsmlDIqkMYoqCosryPHbxdPrrFKE1snECgAjtcroCIAACIAdpwAj9AfN9G= q79ZDddhTd/uSp+R8E2J/ZanD4mham+fSNem62unNsrNa5Nw3KxnmTB2omVpKsjlcJomQOZQ5Cn= EyRwCxPXX/652Tf+V2u/wDzaaqAzGEliDc3HM7BdyPP8jgxfHdBsTxznvplYO3K2W0WyJtu37YX= WJCsQsOMUWCl1YzH8dPIpzRXbFw9Mmd0n4SvsjlA3gDwUSn5MIoOkt088W7+5zNEdky23SqJ41j= qa8iFaapEJqPD2JxYUHZX3xpHPgMVEsUiKApAmICor393JeGSbAydyHRCXaskFHDk3T5YqJoplM= Y5xb4cauTgUoByIgmicwgHnwHqHrpf3oi73dvuzy85ySz/AGp7SYjIldp5YGwErlgsUeD2tP51V= 2xeIViNmJJus5SmUVGigsTNRBu4Iu4RUBIiqQLNA5tqINgAN+ngD925vvgwc/e9sP2ahtk2+0Tc= fn6axJjHbZGu6tT7U+ma1GytlVkY2MZi0dIPot0aYlxawJXKMfXo4zpUAdKFbHITggNsg7VOjAn= TLMtj3f8A3JS7N4WRc1hCaptndQ7ybbtVVY9lIJNsXMFDN3rkhGp1SPUQRBbxxE/hgGsl6+OYCZ= gy3tqtFOn387hOzYEaXjH732WUjouRdWO1TqUtLIRsq2Yu0X68ZHQSTgrxmg7RbptU1U0+8e/EK= rhrofOsURUrZN0ebEMpK0lF5IQi1dtyCCVzGIFZWMMDPEr6ORakmBFqmKMw4bg3Ao+2mLysN0aM= EVtUoNxdVNgLkAi2k8ut+fhywYzv4Pbk+0QG6LIuJmcsuvR7xi6cn5KJ7jixGwVN7FliZpBE/BU= HQsZOSZKqEKBnDZVAixjCgmBdK9HX96JU/wDTZb/umX1k/QOIinvslCtzd7cMOZF8Aw93Io+1wX= hCYDFKIG8Pt7g7S+fIiUphMUMY6Ov70Sp/6bLf90zGlXGg1DC51KnPzAJJIAvuLHYeuDD2JfQPc= H4amoX0D3B+GprAwY+YcYfIQAflCAgAfWIeXu+/TtfTK3QbdIzZhgnH0vm/GENdoarPI6ZrUtco= KNmY12rOTCxUHLB89brEVFFUixSCXuEhiiPADq4xOn/smTIBA2qYDNwHHJ8YVM5h95zxZzj7xMI= 69B9079kD8gpq7VsGJgbyMZpj2vMVA4AQASrMWLdYDAPAAYFCmL6lEB1JDtN7ZOGe0zLcuyutyf= P8pTL65q6OppnyysZpDTtCEkglkiUpZyx0uWBsLEC2I7cAdkvFXAOY1eY0+ZZDmRq6Q0ckMozCn= shkjlLJIkblW1IBc8geQNiAWZJ6GznK9wvF+xlu5xtPK2+zWK0oxDqqnBq1POyzuUBieYg7jOnV= TQ9q9nF0nFCZQC+KDcvPYFf4zpK9TTa1Z0skYJsNSlbPFlOijIYsv3xfKOGBlCLKtHsfdI2rISL= B0dBA68UoL9BcyZAOgr2EMDEn82BslRXB1FYTZVt0UREjiqXHINWVRN/2ToGgLTH+GJQ7gKQoAQ= vPIF5AOMqj9kdUq6hFsdZn3L48UTSMmihFZxtlriEufQ38HMoGv9cW7O0oE9oilewvIE7QEQHzq= ftw4hp6X+jmz5M3ysQRUhoOJOE8vmp3pY40iWB3y6taYroUAloWIIubgEjNn7G8omqjWjJGy+ue= Z6hq3IuJK6KoiqHcytNGlfRrGCZGJtHUqQpO1xbAxcJdVbcFhV5H0LqKbeb1QCJnRYpZsgadJpQ= qgFBJH2mzwzdN1GKl7vEWdzNTklkVB7CNq0nwcwHIxnlbHmXqvG3PGlygLtV5RIqzOYr8g2kGhg= OXuBFUUDmO2dJ89qzVwRJwioBk1UiHKYNaTWw9nuNZKxiecK5laFWKKTyJzniWuybl62EvYZsWc= xo6xxHtTqE/ozunlPmwDuE3spuDEPpyA2asa9Z3l5xVDobWsnGMDl5J4dnRn8R3fw+Cgzu2L5eN= rcRIlcD8tyswgoSfRARMwuKLsPFNrjPKvhbOnkq6Sgg4cr5CXZMrmqKjIpnJuf7DWrHXZcSTZfi= zVcIPsiNFuwf2SU3FGSgU9TVzZ/RJYK2ZQwU+cQodIstdS6qSu0KCwWdaeRgukyvIVxhu7TpL7a= d6GWBzJlmcyqxtIVuJqxUKdY4KJiQi4deQXZiLSQq8u4F13yLgFlfaxIoUE+1MnaIjWQfg8Wxvg= eLRuAAeB4EbvUxAB+bkP4B6MXSLNcewsLkaFZRtkRJ4XxvXV3L2oz/hcFO8i1HgEkYhZcf6ZWEl= yncMhOdq1kppFqeRU2xplHvIyYy4YLazIdSH9lhs1rC5ttexw+opBKgcKy35qwswPUEdPTpywL3= bV0g9le2K2ML5VqJKXS7RDgjuDs+S5v8AhQ7gnaZQFJ3ERqbKNgGjxBQPEbvwiTP2yo+I3dJCGr= K7wdoGMN6uKWOH8sPbYwqzG3RNySXp0oxipgZSHYS8e0IZ5JRkwgLQyUy5Msl7J4hzkSEqpAKIG= tbqat1Ne9zcdb77YUxSjb/tkwXsE28W6hQEpYVsSxC1uyHan9+dNLC7QZuolqNjO5+KYZgm4jU4= 2JKb2JOOWWMALByuKhEygRyvi34PtlC0vbU1znLY0cSa6rp/FY3eW6MgFXK5xVUWbQ83RbC0iyi= Yw8NYoGTNMvySNSj5g0Vk+gReVceXfGs66fsoS+1SeqEu8ilW6Mo1jrDGOYp44jlXTV61TeJN3S= h253LRygVUCCq3VIAkMDMvwcjZoAeeVtynP0ltOMyh/YOKB8/r93kHGlE0bl3ZTcWIF/f4+/BhY= nePQNrETneHoexy23XKFAfQdcYfHVo7nL+Wv0xIvUV46D4r1dcOGKbdeGakKeKAykgZ4VBwumUB= I5luH6V2Bt4UThiQzdM5IYT2LcXQVDYlo8/DQzNVBqzaHdHdoydcmVVVwdpnAhyKogCXBDJGMAn= HE9snRU2b7YshxeUYZHIOTLhXnRH9WeZUsEJLx9ZkUy9qcnGQtbq1VjV5BEeFGrmXQlDMVykdMQ= bOkk1il147ScAAAAF4AADgA4DjgA+YA+YPo0SS+0ojL2QbMebGwBv53Fxy574Maox/ieo49w7Vc= HM0HExR6lQovG7RnYzNpFxJ1eJgka8RtNHRatWr47yNSFF+YrRFFyKig+zpEP4RRGWjoBbELHPy= cwzUy/UW0k9cPCwNau8cEJHi4UMp7PHpzlXmX6DVMwiCKC0i6FMggQFOAKAWZ6ku4S7YmxvU6Vh= 6clWeV8l3aAiFW1LiVbPkqHxeg5VdZEuNRrTRlJrOH0LEoFRSdqsFUmyjzvbh7cVAxPymu5uXwo= 3YRR2VpvlZtNIeZOobTINinIu+03F1AqTRfItqy7L3iKGYj3C1iUasK7EvSSsnJTEsCCryOYEUL= G+1T8PZpLl1JmMLRD49LVpS0hLLPIlGYQ87atMaRt3rmMs3trTzWP6t21UcU5bT5lV5dIXU0MVM= 1TUgF4UlqhKY4gIwzuVKIjlVJV5owRa+M5yd01dquYcA4w285Brs1N13DUC2r2PLb8cFY5Br7Rq= 2RaHVRsDBki2XUepN24yDVzFrRTk6SKpo4qhEhTpOHwejYxyPNqz/AOfmABdqr5eY+X+IXP1eYi= PlqsqWfc2WKHyizdZ0yNjiwZduUWZSAZJVBzVadH31jI5AyI4XmLBDSlpiBwlgyMhRl0KzJVZBj= Z5mKT9pGSdO1HRAWW86yUTEzO+V9var9F1txVzWCvZKXj218maVZqsQMdrV9zUKrBwMTZbdPzFT= OLSXRsh3TSRcN1JBF/HyKUf6WYcHZpQdwI6qGrkqJhEkcaVCDW0cD276VFiIaSVoUKF0aSCUagL= HHmZfx1l1aJ2lgmpY6eETySs0Ug7sySrfukYyCyRrI4YAhZkP+VsZptP6S22fZtlI+XcTTmVH9l= VrUvVTt7jZYKUiRjZk7U7w4No+rRDgHJRZJeCp7WBCAJ+5M/Idv523PpGbYNsOc4/cDjyeyw7vM= cewmQaWazQEhACNlQctX/eyZ1WMdn7COTi27X4eGcCifxQAQHHoXqHR5bRk6faNbPa4czq0SkLW= ZaRq8FVqfjLC0HHxuQciR1ibRSspJsLJfnsjWIRrIDJjMz8M4RiXTCMTWWLnm3/MM9ul3KMMh+D= OUalYuw5GQw0RzJmVF3ljIrGt3C5MZYrIrdq+Vx1XXNShVju25RazU1IIJIt1yOkS+fLw5nFNTV= NVWR/F6anpe8ldmBbvQAFpljJ13eUiISaQqG7Nfkc+HizLKuakpqKQ1FRVzrEkYUqO6LXepLn2Q= scYZjHcuxsBa+xQS/ol9wfhqa4KHBSh5eRQDy9PT5ueB4+jU03AWsPZH71/Drbf18vS7ov5H6xb= w5+HPf0Phjtqampq7FcTU1NTRgxNde3gREB9fpDn/eGpqaoQDzAPqAfvwY6CiUfXj15Dy/8A3zH= 6/f8ATry6mpoAA5bDw3sPQchfrYC/XB1v42+zE1NTU1XBiampqaMGJrg3oPuH8NTU0YMBM3KwUB= B9Q+ru7UzkrhCZjwSlWV4NGek6upXEqFc21oOkylolRRw8gLWsimxtVaVQQZTTEzhnJLvWDpdke= 58Ftcwrmyk1+xXqpi4NLU+0VZvHRM3Y4Fgxx9cJtGwhRjtoaYYtn0RCvWUY4iwXbkTYv49F7FtY= wO1snNTT0zupqKfJ+GauCeaGpOWLF3sUjxsI4ameCMLpICFYgF1qA7WDMxYXxr/Jaannzziekng= imp1zR5RFLGsgLyU9NIxJcFmXXuEZiibhFUbY/dHYhthM8Veq45Scqr/wuB0R3P2h0g9JemjRpa= U3yK82cjwkoLJu8UBwCngyJTyDbwXiqqx9gK7XMPLY6h8XOq+6eVGCmICwMW7ucsDmTPMVdZstC= PX8+vKqTkkdkRk0aJkfyLhMWLdFiJBaJJoEmppsyZtmkrI0uY1sjQyI8RkqZn7t1tpZNTnSQWY7= cySTck4dqZPlUSyLFl9JEsq93IscEaB0Yi6sFUAg+eNaOdhG15eOaxP8Xijdi1rUhUhSZWm4Mxe= 1t/MoWIIeUUbT6akqzjppo3kIYkiZyeHcJmPHnbiqt37uxTgjGuGUp0uPYEIQLNNP7DMiZ/LSaj= mUlHSr6QVItLyMgq3Qcv3Dh8ZogdNuDt06cAn4rhUxpqaJ8zzKqiMNTX1s8JFjFNUzSRn2tW6u5= W+oA3tfYdAMKQZVllLKs9PQUcMyX0yxU8SSC4INnVQ24J69cbl1NTU1g4z8f//Z" width=3D"1= 62" height=3D"85" alt=3D"editorial1.png" style=3D"margin-right:9pt; margin-= left:9pt; float:left; position:relative" /> </sp= an>El art=C3=ADculo queda en propiedad de la revista y, por tanto, su pub= licaci=C3=B3n parcial y/o total en otro medio tiene que ser autorizado por = el director de la Revista Ciencia Digital.<img src=3D"data:image/png;base64,iVBORw0K= GgoAAAANSUhEUgAAAm8AAACFCAYAAAANdh9FAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAA= ADsQBlSsOGwAAIABJREFUeJzsvXmcHVWZ//8+p6ru7S29pLPvCQECkkT2RRFEJSwuuKAwgUFxG/= 3BT2f8hkXRcQYc5su4oKDgoIyyigKCQoAMi2EngZCACdkgCVlIOt3ppLe7VJ3zfP+opW93OiHIk= gTP+8UNt+vWrTp1qm6dTz3Pc54HHA6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDgc= DofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwOBw= Oh8PhcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HA= 6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDgcD= ofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwOBwO= xx6EEhHZ3Y1wOPY2lFJqd7fB4XA4HH+f6N3dAIfD4XA4HA7HruPEm8PhcDgcDsdehBNvDofD4XA= 4HHsRTrw5HA6Hw+Fw7EU48eZwOBwOh8OxF+HEm8PhcDgcDsdehBNvbxuSvBwOh8PhcDjeOpx4e1= txqcAcDofD4XC8tTjx9rbhhJvD4XA4HI63nr1avIkIrkCEw+FwOByOvyf83d2A12NXxJmIsCdUK= 0rbqhRUNnt3tS1tj4igtd5ueSV7Qv85HA6Hw+F4ffZY8VYpPFL6C4xesbSnCQ9JBJzsduNmZT8q= pbbr1z2v7xwOh8PhcOyMPVa8kQiMnp4eyuUy7EBo1NXV4fu7/zAykSkRYk0801R5KCWAt1ti4MI= wpKurC/r1XSrkgiCgpqbGCTiHw+FwOPYidr/q2QlhGHLrrbfy2GOPYa1FRAjDkCiKEBHy+TyXXX= YZ++yzzztkSZI4+0eyjzgZSLpfQaIitn0dpc2vYqVMUD+C3JCxkKtH6QBBoZRCZWlE3h6rXNoX6= 9at46qrrqKrq4uOjg7CMEQphbUWpRRHHnkk//zP/0wQBG9ibxZBJ1lR4uOyCkChUShJekilq6hE= 0JL1nhKFQmEBlKDdZA+Hw+FwOHbIHi3elFKMHj2aadOmISKUy2Vmz57N008/jYhQU1PDrFmz+qz= /Nreoz18iksgPAdtD6dVn2fCXO+hcu4LIlsk3j6H5sFNpPuiD+LWDAQ+lVbwZUW+7MW7IkCGcc8= 45rFixgj/84Q/MmTOHQqGQWd601lhr39Q+BE2qxeKeUCibHqIAyfZFxZ8hYAWUkMk0MZngU6LdR= F2Hw+FwOHbCHi3efN/nwx/+MCeccAIAURSxefNmnnrqqWym6UDuwLeVys2LoJUg1iDtr7H+kdvp= XPIEpa5OtBZM5xZWdGoe/etGTvnsWdTVDyZTOokl6u1sbV1dHdOmTeM973kP06dPp6WlhUcffXS= 7OLg3g5LtUxGr1BqZ/ivxe60sVmmsEjyx8ZqiEh1rUZK4l514czgcDodjh+zRqULSuKxcLkcul8= P3/e3i2yrdpW+HcEtFYvzq3z4BERSGwsZV9KxfjunpojHnMbQmRw5DWOzg4Qcf4Ibf/jZu6zuY2= STtD8/zGD9+PO973/u2c5G+FX0mqtdrqkTARGAjsAorCqsUVmlAoy1oAYtGYUASC5wFjGCVS//i= cDgcDsfO2GPFWyrGUvde+uqP1vptt7btWMD17jcsdVPo7sRiCGoCvJwmDDxCP4cX5Lnp5psJw/B= tbWfWqoq+S1++7zNhwgSqqqoGXP9vJfX+ptY2wpAVsx/k1fsforRxE1IoYKzFiCCWJG5Qg2iMUd= iwjNmwkTWz7+fVR+ZCqfwmjtzhcDgcjnc/e7TbdE/BWkupVKKqqgqldIVoS+O4NNWDR1LTOJxyx= yY6CwaLplRVTUGq2diygS1b2imWyuSrqt7xmqepOBs0aBBBELzlYjcVbhagVGbV7P+l9fmFjD30= YCafdAKDD51OMGQIBHlEwCpBRxHRlnbaFy5h2d13s+m5+dRPncbog98L+cGwB+XvczgcDodjT8K= Jt9dBRHjttde4++67+eIXv5hZrrKy80oheOSG78PQ6cexpbuFro5tFGwVPf5QlrUUeWnFKiYfMJ= WqfFUiSNItvDPCJBVBqcv5rRVF8YQESWLbws5ueta8Su2WVtoffoj5C5+n6dBD2O/Tn2Dw1APw6= xpQhSJbVyxl+d33sGnufGTzZnKmQOHlV+lcs56mwU2ZTdiSuGJJw+Eq2i3xfFUn8BwOh8Px94QT= bzug0lX6pz/9ifvvv59zzjkn+1xVvlMKUzWYIe/7DH59E5sfuY+X17bw1+VbeeiFl/CrG/jGN75= JEPi9Qfx9ZcjbRips3tY4MtEIFiVQaGkjbG2lzhqwlmhTK1vn/IUnn3+B5mMP58APfpDWZa+w7M= /3IBs2EhTLaGuIPI+wbQsb5s+n8aD9kFweAYyyaARPNBbQ2F5fbaJ/RbLsLQ6Hw+FwvOtx4m0ni= AjFYpEbbriBpqam7QRQZcUCBTBoGIOPOI3xtfvy+K2/Y+OWNRx9/BQ+9ZnTOe64495Ra9s7gVQc= kUJQYul4ZSVeqYBnNUaBVqDKJfRrG2n50320PvgXVDHEK5RA2cyB7FmF7SnR8txCJp92Cv6wYWi= r0amVUvXuiSRDnFWqd9/von51OBwOh2NnOPE2AJUi7dFHH+WFF17gAx/4wIDuubSOqcJi0UhQz+= jpR/N/DjqSMCwTeB6e56G0t0fKi4FSruwqFUlaYhVnDJtfXobYEhZFOYDI04jOYYMAqqqQfJ4oV= 0ZXl5FiCT805ENLYCKUNmxZuYytq16meUgDkIfY7oaSxJOqEsObgJdIR9kTO9bhcDgcjreJd7V4= qxQl/d9TYTkbyLUoIrS1tfGjH/2oT3muHYkcpTS6whLl+R6Bl8THqbiCgHqDMzt3VVT1r1ta+Z4= 3uM+Btr2jbUhmN4vztdmeIltXrAaBUsNg9MghjJx2ICPfO5XBkybiN9Tj5fLYsEzUU6B7w0ZaFi= 9j/XMLCFetQbq2IZtbWfP7uyi3tDFo1Hj85ka82iq8qgCdC8DzUFqjlA/ai/f+7jJoOhwOh8OxU= 97V4o0BBNlAn1WKn7R8VHd3NzfeeCNPPPHELm2buBgUCoktQ6rXxderewZWGP3F10D7eD0BtivH= 2R9jzHbf21mMXP+2VBb6EoRCZxft27qpnT6NiR8+kTFHHU1+zDC86iqU8hANJLFxRmkGTT2QkSc= cy5T2dtpfWMyyOQ+x5dkFvPq/j/DqI0+gamrxGhuoGTGMxlEjqB85grrRo9BjRzJs6nvQXmUMoc= PhcDgcfx+8q8VbfzGyI2tUpXAyxtDR0cFdd93Fj3/8Y0qlUvb5wCIoWZ648pQY0HFQvRIdJ6e16= f76RtYPJJYGsqL1X5cdCLTKV5ofb2eir1QqYYwZsN8GEpTbxfwloskSp/8oRSGTPnYy+x0xnfzY= sXi5qvh4EyErSQksEJQorB+7lPPDhzPihCEMfu90Wp+axwu/u43uxUsJNrfA5k30rFhJQfts8H1= MTQ32kPdw2g8vg6AqjntTLubN4XA4HH8/vOvEW6XIEhE6Ozt5+eWXWbNmDVu3bgWgvr6eMWPGMG= nSJBobG/E8DxHBGMMrr7zCr3/9a2655RY2btzYRzRFUTRAot10fxbPRtgwxHpp9jcNQQ5ULpYsF= e691AWbbr9cLtPe3s6GDRvo6elBKcWIESMYOXJkkl9uYEFHIjg3bNjA4sWLWb16Ndu2baO2tpYp= U6Ywbdo0hg0btlNLWuV7ay0iklkfN2/ezJYtWyiXyzQ0NDB69Gjq6+vjPkPi+qVWoUxE3dBmDvz= YKXhVAWgfk1ZcSEqCaRWLydiNbLBGiBLXq2jwmhsZ9qHjOHrcWJ6/7rdsefRxqooFPAxiBIlKmL= DIiCGD8XK5bOqCctNNHQ6Hw/F3xLtOvFlrUUphjOHFF1/kO9/5DsuWLWP48OEcdNBBVFVVsXTpU= lasWEFzczOf+9znOOecc2hubuY3v/kNP/nJT1izZg2lUinbloiwcOFCPve5z+F53nb7VEpR4wmn= HjyBRhWidIRRGqvzvNLl0VLyiQBrDB3bOoiiiBEjRnDJJZdQV1fH6tWrueaaa3jggQdobW0lDEO= UUjQ0NHDcccfxrW99i/322w/f9/tYAUWE9vZ2fvWrX3H99dfT0tJCGIZZJQrf95k4cSLf/e53mT= FjxoACrlJEpp+3trZy2223cdttt7F+/XqstVRVVWGMYdiwYXzmM5/hzDPPZNiwYVhrufHGG3l07= txY+CXnIBXElVUevnjuFzn22GNRwLLlK/n5z3+eCWoRmzqdGdrUxLe+cC5LbUTH3MfIR4klEIXx= fcYePBWlAwSFYPfcMiEOh8PhcLwNvOvEm1KKMAy5++67+cY3vkEQBPzrv/4rp512Gg0NDQD09PR= w66238t3vfpdLLrmE+++/n1/96ld0dnby0Y9+FGstXV1d/O53v6OzsxOSIu8HHHAAuVyO7u7uzJ= 1aX1+PiSLWvrSIzS/NoybXjW9CjFb4TUPJV09BqQZaN7fyh9//niiMAJg0aRJf+9rXuPfee/n2t= 79NS0sL1dXV5PN5RISuri62bt3KDTfcwFNPPcXPfvYzjjvuuKw2qbWW9evXc8EFF3D33XcThiET= Jkzg9NNP54gjjqBcLvPnP/+ZBx98kK985St8//vfZ9CgQQP2WaXVbdGiRXz961/nhRdeYOTIkcy= cOZPTTz+d5uZm1q1bx7XXXssVV1zBLbfcwtVXX83BBx/MuHHj2H/KFDo7O7nvvvtYvHgxxhi01h= xxxBGceOKJVFdX0zykOZ7kIHF/HnLIIWzYsIFrr72W7u5uzjnnHIY2NzO4eTD5iSM57pL/w32bN= 1N+cRl5sVgE21BH85T9QSmUsohKaqO+Q9eXw+FwOBy7HdmLKJVK8q1vfUuUUgJITU2NLFiwoM86= URTJww8/LKNHj5aqqiq56qqrpKenR6IoEmutWGvFGCNbt26V888/X3zfF8/z5KSTTpLW1lYpl8t= SLpdl6dKlMmbMGAFEay0nnniitLe3Z5+XSiUplUoShqGUikXZvHqp/P5fTpHfnzlJbj9zstw+c4= I89a8fka6Xn5Cw1CMtLS3S1NQk8eRTJaNGjZILLrhAGhsbZcyYMXL++efLAw88IM8//7zMmTNHz= jvvPBk2bJgopURrLdOnT5fFixdLGIYSRZGsXbtWvvCFL0h1dbVoreXAAw+Up59+WorFohhjxBgj= XV1d8sgjj8jRRx8to0ePltNPP10aGhqyNsyYMUO6urrEGCPlclnmzp0r+++/vwRBIIcddpg8/PD= D0tPTk20viiJpa2uTH/3oRzJs2DAZP3683H777dLd3S1RFEm5XJY///nP0tzcLEopUUrJIYccIg= sXLpQwDLPtWGsliiLp7OyUq6++Wpqbm+XSSy+Vrq4uicJQoqgsoQ3FlIrSOvcJ+f37PyJ3TzpI7= trnPfKn086QqGWLWGPF2FCMRGJ3w7W4u3+3DofD4fg7ZjeMe38zuyLe2tra5JRTThHP8ySfz8t/= /ud/ytatW8UYk62TCpHbbrtNGhoaRCklQRDInXfemYmL5cuXy9ixY/uIt46ODrG2Vyr0isFIOl5= 7WW7/1ily25n7yO/+YR/54zkT5YX/e6oU1jwh1pSku7tbRo0alQmnIAiktrZW9t9/f7nzzjtl27= ZtUi6Xs7Z1dHTIlVdeKXV1ddn6l1xyiURRJNu2bZPLL79cGhsbRSkl+XxebrzxRimXy1mbUpEah= qE89dRTss8++0hVVZV4nredeIuiSFauXClHHXWUaK2lsbFRrr/+eikUCll/pK9UwJ199tkSBIGM= Hz9e7r33XimVSmKMkfb2dpk5c2afc/S9730v67tUwBWLRbnnnntk0qRJcs4550hbW1vv5zaSyEZ= iQith+zZ57vL/kt8feKj8Yd+p8tRF35OoqyjG2Fi4WePEm8PhcDj+rnjXhQutW7eOF154AWst5X= KZa6+9lmeeeWa7maZKKQYPHkxNTQ0iQhRFPPzww33WqWRnKTsUig3r1rF1azeIjyeWagU1XgB4S= JJFViudbSuKIoYOHcpPf/pTTj31VOrq6rJ4OqUUNTU1fPrTn2bfffdFRAjDkPvuu48oili7di3X= X38927ZtQ0Robm7m+OOP7/P99P9aa6ZNm8aXv/xlSCY39KdUKnH99dezcOHCbHvHHnts5qKtjFt= LY/HOPPNM8vk869at43vf+x6rV6+GxL08a9YsxowZg9aaQqHAb3/7W1566SWiKMomQyxdupQrrr= iC8ePH8+///u80NDQkEyCSFCRKsAp0TS37fORDVI0aBZ7PiH3GI77FpGWykpqq8naXAHM4HA6HY= w/hXSfeyuVylr9MRNi6dSuvvvoqDJAuxPO8PgH7a9euHXC9lIEEXTpLddGCBXR1dSCAFqjNBeQ8= UGLj5LxCWsoegOrqai688EKOP/74bCJC+tJao7Vm0KBBTJgwIVu+evVqCoUCTz/9NKtXr84mBNT= X11NXV7ddW9NXVVUVJ554ImPGjBmwz1avXs0f//hHSqUSAEOGDKG5uXnApMTpsoMPPpiamhqstS= xbtow//vGP2WSJAw44gIsuuoh8Pg+JoL7sssvo6upCRNiyZQtXXXUV27Zt49JLL2XUqFHxdlHoJ= HecFkFri/ia6rFjGXLwdASfFX95jNKKl/GMiWfvikGwyVTe7VOmOByOd55QRCIRsclLrBWxkYgJ= RWwkVqxEIhJmn+/mV2U7IisSGpHIxO9N74dWQonEbP91k35eFivl+Hizz228QrIdW9E3yRf3Qnq= PT0z8srYsVnpEbHyscV8VRSTM+unNH63JerSyJVZssl+T7M/0Oa873O8uXhu7suo7Ce+GCQv9c5= KNHTuWcePGsWnTJkSEIUOGcOihh/YRafSzpKXv08kJldtOGbg0lsrqn8579jkGlwrYWosnwqCaA= KVNYhzaXkTU19dz0kknkcvldlgZQWtNXV1dtqxQKNDT08OTTz6ZpSwREcrlcjYzdqBccGnakUmT= JvHyyy/36QNrLY8++ijr1q3L+nHw4MFUVVVt1weVNDc3Z1bL7u5u7r33Xv7hH/6B0aNH4/s+Z55= 5JrNnz2b27NlYa3nooYe45557OP3007njjjuYM2cOF154IQcffHA2OzZubCxxtVEoLGWtUPV1DD= 9kOhsfnEvncy/w6KX/xQe+dzFV+09C0vpkeoApC0rtkdVk3zfz30XwEHRWr1X3ZlRJZtF6yQK7S= 9sUpRAVxXVebRVgEWUQFEiAUmUUFmU9tIpAFIJGkv5GScWjhQbxkoeO+BqWftdw+qeStLpscizK= xKlb4k+Tttlkm/E6mghRFqttkuBZo0WjRCXbs3F7lMQpE/Hi85zsV2Gz9NBCkksRi6ioz/OoEvA= kbhmisMpD8LAq/W7aRovCVjxc6WRdncxmNhX7jM+PVXEex/i7JMm5DYJBCBByKMp4IvFtVjSiIo= Qg6bsI8Craa5JONVlJOMRDY5JlDPCsbfveW96iOnFP3nLhm96Qqvjdqcqlag/8QVbQm2A9uXMo1= a+9A3leKhcnk6eSa0xlV43ewXHvwZ2xq1Skv+p7japsKllFj76dTYDkXtN/P++CXt6OvV680S+B= bXNzM9dddx2/+MUvMMbw+c9/ngMPPBCS2ZSVFIvFrPQV/cTOzkph9aetrY1ly1/h6EEWlEYrYVC= 1hzYhYsLEHWipHP601vi+v33VggEsXZXvRYQNGzb0WSfNzdafSjGYz+dpbGzcbp1CocAzzzxDd3= d3tmzlypVcdNFF2wneyvaICIVCIft7/fr1vPbaa4wePRqAQYMGcdFFF7Fo0aIsd93ll19OfX09l= 19+Occccwyf+cxnyOVyfY5dYrmBaI0SiycWCTwGTRiHaqjF39ZOuGARD3/nXzn+375DzZR9wcvv= VSWyRGKLJIkbPRY7kgkkQZKb0K6TCh+FJMV2bSK8NFAGFaKSdCsWnRTl1UneaBv/P9k7mUtaI8r= rzaWXCLG4r9O/JRnxDKLi9URplO0nNJQBFWWl1GJRGYtH3Ud0VKhYLDapypGKw9itLts9DwkaJU= HSJrLvGw1W0oOzWGUzazjoRIDF73Vy7LHYtMmVmIjKflJEo5M2aLQk1yy5RMAlwlxpIBWzBoiyo= Sy+0g0KkwxqifVYmex44u8n+01FbX8Blx7sAA+Iu5OBXToVVWf6Cbzd/dtNH5NUWhFH7cgp1f9K= qPxDofAqtibJMt37XKDSRx0bL9/dB/6Wkoo3lfyn0rv5wNfu30T/baQJ2lW/B91dlItvoPv3tDO= 114u3gSoSHHjggfz85z/PYssKhQKbN2+mo6ODQqFAuVxGKcVLL71EsVjMtvVGBFsla9asYd36Db= B/gLKWXE6oygUggliTbbs/b3R/qZVx+0TBr78ta22fY03p6OhgzZo1ffpv69atzJkzBxHB8zx8v= +9l4nkeQRAwceJEJkyYAImrtTJGTmvN1KlTOeuss7jqqqvo6elh2bJlfOUrX6GxsZELLriAIUOG= DOyaTWPYFMmNT6gaMgSvsQGzdh2+iSi/tIy5//6fHPXP59FwyHshn4/Lk+0VyXp9+nrRe60+klq= F0oIcu3zLSNfTveN4apVEZfGBNivblooDyRIpZ6Is2blkw1lKPytPhWCI102tSSRCrvLrqTAiXi= eNV+zzSCN93sUCxvYOANL7WWZolfjBKLXqkQhZyXSNrRBzglUKL9l62j4lcXtiYaqSttukeToTs= pXH22t5TJfEQjAWszo5b/2+AyAWhZdUX0mXS2ItsCjxEktoRe3g/uI221p2kexx7MA+1Qe9a8Pr= O4ZKelwqH5grPk8ttSo7Z6rv5budmpN+v5n0I9P7/T3m6P82VOXlmIm37NNEoNq3ULxVIn1/D9k= 9IdmPsom4e9dFh8HeLt601plgSEkHb2stmzdvZt68eTz88MMsWrQoqxQAEAQBXV1dFAqFN9WGKI= pYvGQJbW1tCMNQYqnL+/haiLIb9s6findVcPyt4pIKF2l/C12aT65SvJ177rnMnDkzE2FBEPSxu= KVWw0p836epqalPW+vq6pg5cyZz585l3rx5WGtpbW1lypQpjBw5sq+7tE9j09E5Hjg1Cr+2mqAm= T0Q8mAWhIVy8jOd++ksOPu/LDD7iEFS+qv9B75GVF+LB2fYVAIrEGqUSAZBeO7vW/l6rXWo0qLy= RahA/cX8GfRyGsdaIB6SsfFmFphJl+hh1+hh4pDdhdTzwxW5JlbRZtO1tv3iZxanymFJxmj6j9x= 0PFYiP6rOXVAbaCneVoDC99+7EbZK6q7Ln8cSaKYmNDaUSrdpr7VPpeUisJennaY9VCsFY6JG4o= EF00rpUcCYntjcPodc7pCfbtIl1LT4XusJ6Gnd2X3duKi96bT+isrO+Z8mAfq7z9Lz2OqbjdeJz= 2FfI7B4bYtrXYJIHEN3nU/r1cXpV9e11m6wVH5Lq81ur3JaQuvP3Tv0mFRbUdAnpkuyHWFEa8S0= 6zMqrai/tureMvVq8pcH4/ZdFUcT8+fP5r//6L+bNm0exWGTMmDEccMABjB8/nubmZhoaGli4cC= G/+c1viKLob25DT08Pzy9YQLFQABE0hsbaWnwlhFm8w86P4Y2STix4KwjDsI/rWCnFuHHjOOigg= 7JlA9VVHajd/euzKqWYPHky5557Li+99BLbtm3DWstf//pX7rzzTr7whS9kpb+y/fd/Xk0EmNIK= 5XlgwRdNpCxBGLFt6QoWzr6f46YeiK4Qb1kb3rKeeuuwOkRnVp/0Jt83VktlbrtdOQJJZufaJFY= ttgL1HfiTihSiUCrKhpnewT/beyIofMDG8XEVVj0k6VPp5/IRD6W87DhERbFATePnJLnViEGpMB= nUeuPgktkn/Y5Lo6zfK9kSwROLH41VkrgsU8Fks+OWLP5GxW5ZJSibuiv9xAJpEzdlHBsoqve4t= MSRZ5ngy2ID6TeEkLimSeLWkhg1ifp+Jiqz8KEiRIcYpTFKx4X0bPyQokSyGMRUpiY9ikVn8qGv= Pa+/y2hPIG2PzgZvU+GaBEErC2KStVVitVW7J+W2JJbj5LqRint3Kj22Fwt9l0jFv+k3023RJ3R= OV9zpbMU53EtROxNSlcf2NsmtSk9Dn+33t+y/u9jrxVt/6025XObBBx/kwgsvZMWKFTQ0NPD1r3= +ds88+myFDhpDP57OC7bfeeis33XTTmxJD7e3tLFy0KJ4wAHhKqK/OJTd+neaweMtmPqbVFwZav= iNRlTJQDJvv+9tZ0fqjtd5pqpQdtXNH+966dSvXXHMNBx98MEcccUTfeL9MzKSxYMmt3grWKBQ+= IrHbONKa2n0ncfDHTsWvqu5zb3gzVsq3n8Skk423iavRWjxPo0yEp+J4NaO8gW8/qdVOx32qiWJ= XXDrMKwVi8LUgNo610irASBKAL5IJFZs8IBsbx6vpxJKkEmGRdWyFxUxrARPiaRBrUEphrYeoHJ= EI2tcYidAaTGgJlEAU4fsGKMfVMvCxBHEMnIAVi5/WzBVBK8GnBNagFGjtUTYGvABDGuOXCvxUK= EkSE6dRSuJ4N4Gc1miJ0DbC4GE8PxFtFqtiq6FF4ek4Bs/D4lmbTESgd7pCKjJFkvPmY9CxmCTE= I96PmAjf97FWekUsivQMlSPQfmypjEWsxZPYoS4SyxzRJGI77p/e37f0eTixImit+txnBvqtv6N= kcYa9wscmAs5HUBKBlIEkBESlIj+x5r7hyRdvZqBWicvforSHVn5q1+0nzXqX9dEL6W+xwnqXPp= BJhajL7m+ZPI0Skb4Xx769XrNFgdIVNvNd+dIONrXdrrOOT6IqYvHWe9tPrf7bW4F3tM1OpuNEA= AAgAElEQVT+bNfSnX2h38pv7mhfn71avPXHWstjjz3G17/+ddatW0c+n+c73/kOX/rSl/pYeNKb= 2uuJltdDRGhpaeHllSsT878iF2iqA42XzRAbyKLw5vb5Rly96bEaY7I8a5Xbqqqqorq6ervvVH5= 3oOXp93c0OKSfvfjii1x11VUccMABeJ7H448/joiwfPlyfvKTn3D11VczdOjQbF8q+5knkU4SB8= lHhSK2sxtURBhASXtUH/Qe3nfhP1M/7T0QBHvP7U/8JGi+91ndWkMQeEhUYJ8Jo6ivUmitED3AN= ar63pAiY2hp28b6TdvIBTkisXhaY6OQKt8yckQ9zQ31GDEEQYCYKLGIJZaBZEwpRobunhItbdso= lQ2FUojyA6xVeJ6fWMvSOJIyDfU5Rg1rorbGR9Bs6yiyem07WuUpRiWCvE9Yjsh5VQTKMGxIHSO= G1SJSxiqPDZs62NTWjfbzGBOLRWstaGIxEhWZMKaRpkHVBEFAd0+Zlq1dbG7vQSRAlB9PwpDYFR= oheFJhM5HYYdnUWMeYkUNoqPLI6Qjl+0RGiKzBKp8ly1fR0RMCCh8YOriWAyaNwTNllBisimMFb= eqEFfA9n1Bgy9Yyi5evxuLjKUuAYcq+42iuzyUu19QaoFBWozEY0XQWFS8sXUloNVYseV+z77jh= DB6UozrnE0mIQWP9alpau1mz5tV4HomkLtLK+0riZq94YElDJHbbA0y/WZppL/gIvg1RpgBhN0g= RPIkfNoyfxWFmsZoDWmv6f5YKIDvA8l38rtKgPPCrUV6uwqWZWl93bh3LtComeeNnP1Ol4msyMu= BplZyruFdE7J4Y2bFLVApbSR5q+nhosr/je7uVCE97b0qspmND30dam1wuujfENzGaaA0iBqW2r= 0neZ7sVvxUrFk8lwru/12kAB/ruYq8Qb7vy9JgKqR//+MesX78eEWHMmDGcddZZVFdXD5hC4408= lQ60bhRFPP3U03Rs66DRB6ylqSaHl8wsTZ/Tosiybeu2N3260wspzZ+2s7b1/8xau52FMY1LGzF= iRJ/l/SdxDNSG9H06gWLjxo00NTX1qZ/62muvccUVV+D7Pr/4xS+IoohPfepTrFu3jjAMmT17Nr= feeiv/9E//lM06TWcvxg/t8VNUaAxhWxvS1YGHUPZ8Bh12OO+76F+o3X8f8HvjrCrv17t18NoJS= oLETZO8lEJ7FmNKTBw7lIv+ZSajmqvwJXYL9o+YUZkgiM+tsYolqzbzf6+8jc3thXjAMZa8jjho= 37H8y3ln0FhXjU4sUb6usKIlIWhWYqtIKRQWLPwrD/3laRYtXkPB5OMhV2KREY/JITnfMvOMU/n= Q+99D3ou/21UIufLqO5n3/EqCXJ5SGN+srS0zelQzl1xwNsMGVxF4UDawakMX3/m3a+gqmmTw1I= iJYjukCBPGjeTb//JZRg2txxpQnvDkgle46pe3sa0nQpRGsskBHlpUktLDoMTGNhAldHVto6F+N= Gd88ngmjW5AV4T1LXu5jX/7z5V4RiVpZyJGNFXz/3/5o9TnNclYi1W9EkFJ3F8hcM2v72L5yi7K= 5GNLoClz5PQJfO4Tx5JlSElu+loUGqEYwf/cPJfFfy1j8AkCD890c+A+jXzx7FMJlEJpKAu88HI= bN/3+sWSmfGIpTdICSXL+dGJtsMbucNb6O02vK7nX+e8lFjcV9vDy4w/RuXwhtRQIpQieh4p8tN= JYHfULrtwZA4m1N/ZdQVHWVejB45j20c8mLnjdG6GoJBuuKwP0Uye+SiYGiY1QXq9wqMj9E8+JV= H2FhbUW7e2lVjebxG2KyXJ0kpztLI5VKYyJHyRTi5i1Zsexzq+D6vP/dFZbfFLifcW3kVJkCTyN= UhCFFs/fkZDfHiE+L56n++QOHfD3tJtjqvcK8fZ65v9URCxZsiSrrgAwZcqUrBh9/20ZY+js7Ow= T71W5vYGC+/u7JkulEg8+9CDWxgOFVtBcn0cnMUgilig0PPvU08x99Im/Wa33n017wAEH8OKLL2= bLisUixWJxO9dmZXuttQNWVxg0aBBTp07l/vvvp1QqZalIrLWZe7lymwOlLlm1ahWzZs3ioosu4= phjjoEkBcl1113HSy+9xH/8x3+w//77o5Ti4osv5oILLqCzs5NCocAVV1zBYYcdxlFHHRW7Z5PZ= QV5qtRBBG0vnqtVEW7uIaqppev/RHP2Nb5DfZwLWSwKLkyf9ymPf3QPYjuh1vqjE9RYPAzlfM3p= EM6OHVFGFxdO9EU/9v135XnswfmwzQxrr2NzeFfegVihrOejAfRnaUEWAJPFrFiQ/YBiKMVCVg+= MOP4gjpx3AZT+8gWeXbgKtCUVAe1gxifiJOPrw/akLwIunkRBUeew3aSSLXlxFj+nNO6iVZcq+4= xjSmKfaL+OLJvB9xgyvYeyoYfx15QZQGqtBq9TtYThg/0mMHVZLoCIsQmR9xo2op6baZ1sx7LWz= pMegExWaWqeUAq0IreGZ+QvoaNvA9y74Ko3VQs6DUDzCQoiNIqz4iPIJPEtHeys5JVRpk6R+qMj= IkXSblfi6W7F0FZ5XR1TSBF5A3q+ie0sBylCdzKWSisEfFKIty5cuIfBzlMoaE0Lga3q6OtFWyO= ViN2n7th5uuvFulqzajLWCtRHGWPL5fHyPk957lFjw/GD3W9wSet2Oyf8ljXErg+2hsGoxsvgpp= LQFE3UQ5HPokh8fVy7OAfjOoSj69XQPmwonfxIlZXTOj0/yDj0nktyrKiyhisQlmjwIYJM523EM= qkcc4icarBI8nTx07qH3qddFBKUkiVtUoH2MpJGLqce0925nrMUbyJPwBkjDBKw18b1Ckrun9tB= JeIHSSShIRCzCsFgboXVu54eTSE9PeyBgIoPnefG+Ui/dHhRH/a6YQ5uKkzVr1rBt2zZIBu+B3K= KpoOnq6uLZZ5/tI2hkgJiRSirzxIkIpVKJJUuWZKZUrYVBVdXEabMUVoSF859l1v+ZRXdPz8CJZ= P+GY/3Upz5FTU1Ntqy7u5uWlpad9k17ezubNm3q81k6a/SEE05gyJAh2XEtX748E7WvZ50sl8vc= cccdhGHIuHHjsvQss2fP5rbbbuPLX/4yxx13HEEQ4Ps+Z5xxBqeeemqWnHjjxo1ceOGFbNiwId6= XpLEjgkncFdLVzaaFL1AqFmg+6nCOueAbVE8eC77GE41Scd6y/sJyT0URoQiTCKDeBKxiLR6WQI= FvDSqJVdvRq88sZgUhJcQTIs9Sshbr5VBBHiNxzCBGITaONsu+qSSxAhqUivCVJaeFmrzHV774a= UYOr0ekiFJRkv8MRCy+9sjp+OnPiyJ8MWggp8BaydK2SBzMho8iryAnBk+KeNaQVyBRmcD3EZ0c= lQJjDZ7SBJ6HtgrPKnLKI+8lT/XSewO1SuJZrSqKB12iOLGtsliE0AhGAkTlWblqPbff+UAcX2c= iNBBGIWUTYTxNiKIEWK0rhus0xi314ds4xg8wEeAF9JQFcjWESlOMDDrwyAXJoCJJ2hEkiVuDSC= Co8SjZMvg++DlCI0RWkhiqeMXly9by6poN2Rn3PI9cLpfds7RSeJ7G9z201tnyPeHaH1D2SJzrj= qiHfNRJTXEL1YWNNOtt1JU3UR+1MNi20Ri20VR+516N5Vbqww4GeSZuo5cki84ebNK0ORUHV3lk= YsGUY2uaxBMUlDVYE2WuQ6XBhr2ixgLG2Kx04l6FpJOq0iTGsYizJMnCTQRiCSPicAMTjyOe9t6= UkTE1qiRBCNlEJaU0xsb3jfQhzhCLuCxn6+uIxsx6KHHqJGti4aZEUDr2OtidSPndwV4n3vrHZ1= UKrvSpM/176dKldHR0bLcNay1Llizhscce22HcW1qyKt1HmtC3cvttbW20bt6cZLMRBlX55FQZj= 7h0U2dngeuu/TWTJk5i5llnvekn4vS7xxxzDEceeWRmfu7p6WH58uU7/F46+zYt/1XZD0opDjro= IA4//PAsafDy5ct7xdQASEX5qcWLF3PHHXfwiU98gmHDhmGtZf78+Xz/+9/n5JNP5swzz6Suri7= 7EQ0aNIhLLrmEqVOnZu2fP38+P/zhD+nq6sqe1C0Wz4IylsL6DWx6/kWwIY3jxpMfMQqUl+Xisu= lz8N5SEkuF8WOhMrHwIBm00XgqiN1tNhau2sbCQYxgbPIysfsz1kWCEaGjYNlW6CZKcpkRBBiVZ= OqHROD6KJUnBEoiFEQoIBSBsqgk1swiRAQ+jBxRx0EHjsTTIVpbTFRG6/ga1qhEWIHWAQqfAJW4= 7uKbXVpr1/M9rLEEmiznktaCGGJXrrVoNFib3JTjOaFaKzw0mHhWqpJ4MoGIxlid/J4sSgv5wNB= UYxhcKzTVQl3eUBUkbkTtE4qHIWD+80vZ3NqNVrm4L7UG30/6LZmYoPz4mspinpK4JxXPTlXaxq= nqNJRFIPAphkWsjrABhES9lVW0SVJ+xKa6NGY9khDjW4wHZWsQL54Bmw7socD61zqIbDyRRcSgx= JDXwphhjew7bhiTxgxm/PBBjGzOM7TBp6FaGFwXMKjGT6wQfeO03kmZ4FXUj1BUPnUIBArJCaF0= o3IhRvdQpAOpKmO8MgqDZ+Ude/lW0DYkLHYCIaJVXIVDq8RSHWWWtgFHbpWYYZWOy/uJxUrsQgW= FFUU5jP1cKjbqYEycQ3OHuYD3eFKXYTwx6PkFz/Cr637NipWrEU9ike7Fgk7rxIjwJmVPPGkpna= joxULblFm2fBm/uv43/PhHP+ZnP/0pL61cG4s3lWoCFU8c2tnR2N4ylkrFHqeOti3cctPN3Dd7N= pG1FRG/FSJuN2rvPdZt2n8QToXGjsSW1pqJEyfS2NiYVQtYs2YNf/rTnzjjjDOyXGVpUfTvf//7= TJ48mYaGBp5//nno526sqqpi0KBB2bItW7bQ0dHB4MGDs7atX7+eMAyz8xfk8oi2RALdoWJjWwe= HHXkUH/vadxg2asx2x5W6bwdyRe6oT5RSDB06lK997WssXbqU1157DRHh9ttv55RTTqGmpqZP0L= JSihUrVnDVVVdlFREqt2+tpbGxkW9+85vMmzeP9evXs2HDBu69916++tWvxgHuO2jPpk2b+Pa3v= 83w4cP5+Mc/ju/7rF27losvvphRo0Yxa9asPjVS0/ZPmjSJ888/n1mzZtHa2koURdx8880ceeSR= fPazn8PzdJxM1Qi20MOaB/9Cac168qGldeVqJDSQVxht4xqocc/1OYd7NMnTuSSDupbkJqPjvOu= eAvwgsdYoOnrKPPrUEoqRh/I1VbkkFktBJIZyBPfMeZpNrSEiPr4ojLWxsJEIX/U+pVml2Lq1h/= vnvkhnMSKiiNIBo4c0cfTUCYxqrkUrDzDkNRw+dT/+8thLhCbA9xRKkjJbyXiFBouHSsSPeIpIG= TQ+EhqU0pSsQfwoiRPKgQ4wolA6cVRI7Far9gOK5RLK95I4PANa4vUSl4in4hmB4KGtxVOCryxn= f+pkPnTEfngqdnOUTMhjz/2VG3//BEUbx8uVjNBd1rRv62bciPo4pjD5DfhK8CRCJ6otnhTYm9I= hzWOXWgcRwUOhPB9lhVovNsBYpVEqKS2W5NGPB4XemCdPICCPsQp0OXH/aJQNYkumioi0T3uhHK= cb0hZtDT6WgyZP4MJvnE1DTRL+YSE0lkI5wpQijPJ5+KnF3HjHI1j8xMIbm5C0CFbppLTX2+uW7= Ju8Nbn2iCcFpH3uBT6e0XSbMn5VQGywsQR658HlbwceiuoqP07jYiOsL7F2e70cnem/ygMbgWfp= 7u7hgTlzuOPOO2hpaaG2tokPHPchPvvZMxg5qhlPge/FF0Mk4O8Ft6ztyMZKi9gyr65awWOPP86= 4ydOYPH4YL69cynf/45ecOOMTnH36yeRygsKjFEXkff9v1DxpFRIvcXFaFi2Yx1W/vJHFL6+lIa= 8pRxEvrNrIT678D6xV+Dpuq+d5OzWZpYaE3lncikJPD3956CHGTJrIB2eciPKENAGTTizfu5M9V= rylVMZt9Rc69LO2TZ06lSOPPJK77747s5bNmjWLhQsXZpahhx9+mJ/85CcMGjSIG264gSuvvJIX= X3yRMAwplUqUy+VM6DU2Nmaio6WlhUWLFjFu3LhMBK5cuTKewZlcSlu6C7SXB+NHlnWvtaIaRzP= z3LNpmjieUigVs296j22gCQH9jz1dll5gQRDwkY98hM9//vNceeWVFAoF7rnnHi699FIuvvhi6u= vrsza++OKLfOlLX2LlypVMnz6dFStWxBauihJgWmuOOOIILr30Us477zy6u7u59tprOfTQQzOLX= KX4MsbQ2trKueeey5IlS7jjjjsYMWIEnZ2dfPvb32bVqlX87//+LyNGjNhOuIkIuVyOk08+mfvu= u4877rgDYwzt7e384Ac/4JCDD2H/KfvHublMRGHFCpb98W5yxSIKoePVV5GuDqSuOpnQIHtp3Eg= aLE2fWaeVwVUSl5igq1Di1jvuZUuXJRSJZ04ZlViALJHVRDaeVKC0hzEhWiczMfvdsSyKzu4e5j= z8NOvburFeSBQJg3yNOvNkTjvxsKR4goenhCFN9XhJqRudpg2RdGbfAMdTGcidTB+gYpYWKIyJU= DqI42WUYJOg/siE+IFHOSoTeCqp6ykV3032YuMbsk6qQwS+R2N9jhFDq/ESU0aIcEzwXm774zMU= y5rICp6qpr3L0Nld7LM9khYqiYV05WnI/sjUiE7K3VV8VlmuS6VrZVvN/s1yFkpSBUJVfJbm4Ou= NoKIcRhh8Igs5AW0NE8aMpL4Ocp5CxUlKEOvRWJVH6yrKItRWkaShyCR7b/LkxLLXmy74nUJlNX= Mhj5Y8pqDAKGqrBiFWY7ogH1RhbbnPOX8niCd09cRW0kRNRSYWcEoLvVd132smm5GCAhWyZcNyf= nvzXdx8z2PsN2k8nzj1cF5d9TL33nMHDz+9iMsu/QHTx9ehA4vRtdlEmL3t7oU1WLEQeCgsxZ4O= Oju70VqhPUXgQRRBkKshl1OAwVgh8PO7sPGdIUl4gAeFHp76y0N0d3dz1VU/4+ADJ+F5PltsbMX= 2vPhhwBi7Q6NP/35XWlcIdk2pWIoFakW9me2Mpbvp5O3R4k1EeOGFF/jzn/9MqVTCWsu8efOoqa= nJAup/9rOf0dTUlFnLZs6cycaNG1mwYAFhGNLW1sbVV1/Ntddem7lxJk2axDXXXMOUKVN4//vfz= +zZs2lra2P58uX86le/YuzYsTz55JNMnz6d1atXs3HjxkxcdHd3M2TIEB588EEef/xxGpuaaG/b= glJCOfJ5adVmBnnCkMGDqBpaz2urVrKyI0+kfFTFBIBisci9997LhAkTaGhoYL/99qOxsZHVq1e= zevVqrLX09PSwatWqrN3WWp577jmam5sREU477TTK5TI33XQTra2tXH311SxatIgZM2ZQXV3NM8= 88wz333IOIcN555zFt2jRmzZqVpRrZsmULjzzyCLlcDt/3+fjHP06pVOKyyy5j1apVfPWrX+Wb3= /wmxxxzDHV1dYgIbW1tPP7449x8880UCgWuueYagiDgoYceYu7cuTz4vw9y+mdPZ+3ataxYsYKR= I0cyderUzIInIqxdu5Ynn3qSYcOGUVNTQ09PDwCrV6/m29+5mDPOPIMhDU0cMWEyz/zoF+iNG2J= 3BB52Szudq9fQMGQYEngV5vt3HypNs6sUkWhKViiJn9TV1HgIJioBAWiFsslMxGTCggzkKhAoRR= DhEdocSudQWlGKCix7eQ2RHB53p43dlk1NTXHS2yQoWVRcrN1WVBtQb/D+5Xse1oLnJdY1FeeKM= zbCQ+FrFedkk+0n2FAZn0KSH06liZwrSnIJ1NfXksv5qDCehibEVqrym0jK/VbQNzFyRc+l8y0S= y5XnCRqNVgEWg9XQWQwpmNi97cfZ7sDGKSjitBMKkTCum6oskpX5SjpF1FsRertrbLef2MKYHrr= 2PDzRmEhhyhFVuTqU1VgVAGGSTJreckf9rjXJpG//pcm7iv3rZOSVPqI1fW/RWvB9L+sjpTXaIx= HAXu+QnXxFVRZdUnGUg5SKLHryCR5+6BHO/vw/8YWZn6M+KIKKeHreAi67/Dp+f9NN7H/xP1GjN= GLKlMsGnfMRY4kiC1qjgwDPi9NNpXnjxHqE5QhjDaIVXi6H1kk9XmuIyiZOQ6LjmGMrCu3n8HwP= T6ksKXh25BJhomLsvvWrMCb+/YkO8IOAQFXkokMQK5Qjk0RzJFV3/ADEoLHkcgFeLk+IxpqICRP= H8z//cyX4eSILvoZAG0wUUgotIh6e58cTQ5RCoggThuhcDuV5SY9bTCkitBby8fF6CJ5W2KjE1v= Y22rZsZeLk/cnX1hGmYQJhGWU9QmUJPIsNFWFk0YEmCkOsgPJ8vCA2SsQZHkMwhnKosFH8cGisI= DpPRA6LT0AckyxGCCOLsQatPbwgT6AVSIg1lnJZ0DmfKA72Ixfkkhm3O/hZ/I3sseIttdLk83lG= jx6dpa8YPXo0n/zkJ/usl1JVVcX06dP57//+b2666SYef/xxWlpaKBQKeJ7H4MGDOeaYY/jCF77= A1KlT8TyPj370o7S1tXHfffexbds2brrpJsaMGcNJJ53Exz/+cT7ykY/wy1/+kldffZViscg111= zDiBEjOOyww7juuut49NFHufG3N6AKnQweN5nBwxXDGmqpqfLoIccf75rDC1seIFKafSfvyz4TJ= 2Xtvuuuu/B9n0GDBnHhhRfS1NTE448/zpw5czDGICI0NzczY8aM7Du33HIL1lrK5TIzZsxg1qxZ= HHPMMdx0000sWrSI5557jvnz52c1SSdMmMBZZ53FP/7jP7JixQo+8IEPZJM6fN/nhhtuoFgsUlN= Tww9+8APOOeccJk+ezC233MKCBQu4/PLLqauro76+Hq01HR0d5HI5jj32WM4991wmTJzAb/7ntz= z71JOUyhEf/uAJ9PR0c8ttvwNrOfSQQ5my35S4jJlSWDG8tmE99z9wP1EYMeOkGYnIkKRNHvfdf= Te1nT10DR6NzF9ElU2zy4MqlGhbspzGQw7LpuBbJbsnK/vbTK9dTrASJ5T1PC/LW2GtxfM1Joor= K8Szubw4AYm1+DsKqPFUPEVV+Zgodtf6eHQXS1gVD0q+Fwca19XUxGJKSTw5wBInH1W9g6V6o0H= XSfyaRBBoyHlxwfjAj2sBK63xMfgSDXhW4+S78aQGreN8dSK9wkABgVIEWqip9mnr6iH7QKm+we= e7gUo7osqC39NaXL1SpK46hy+G0PpY7VFUOZ5ZvJz6O6v41IlHM7wxjxWN1iSJlmP1p4jQWrBGk= tJfifVTDdyKt4WKffXaMXpFltUW40eEiWAPtI+VMqLiBMpiIafDeIIIufh3YIXA84nCMB7IfY9C= OSSXryEK08OMsqoYNgkt8GyaBU5nZczjhsW1czUWUSaJyYofjHTmGfT6lD6vfNNr1Ra0F7KxdTO= PPbGQ/fZ/Lx/50HHkc0m8KsKRRx7CSYcfwP0PPMCaL53F2HFDWbVwLnfd/nuOnfFRVr28jmUvrs= CrG8oxH/4gRx95EA3VHj4FwnKZtStbuW/2Q6zf9CoFhJM+fQbTph9AQ1XAhldeZvZtdzF67EhqB= tcyb/48tmwrcNDRx/PBD53A2KYGciiMWPAkDvAvdbFg7v08++wiph52PIuXLWbFKytoHLUfH5ox= g4On7Eut7wMR5XIXK19axt33PsDmjgJeVSPHn3gyR7x3P5rrqpJzJERoyhL/vjauXMaVN/6F988= 4nRPety+eWLa1beDF+fOYM/cpwijP+Inv4agPH8f4SaNZMX8eD86+lw988lO8573vpcZXVJmIJ+= +5n4eemcfHvv5lJk6YQLXyqLZlXl36PH++4w88u2gxXV4Da378Mz526oeZ8cHj+OEV/820A6fw2= c98gM4trdxw3e+orRvEvlP35y+PPkprawf7HHgYHzr5w4wfM5S8NmjbRevaVdx1xyO8smojgxoa= OWDqeynYHKHKx5VQpEyxp53FC5cw99GnaGlvo3HEcE6c8Smm7jeRvO1h7eJl/Py3d3HoB97HK+u= WUiyW+MwnP8v++07OUh/q9CeZed4q70e6z29mZ3fWPVa8pW62fffdl8mTJ2fLdxTT1N+1eMkll9= DW1saWLVvo6enB8zyam5sZPnw4tbW12XaGDRvG+eefz8yZM7NYufr6epqamvB9n1NPPZWjjjqKt= rY2rI2n6dfX11NfX08+n2efffbhlJNPodjdzfB6RV0QonUQh9yL8P99rI6S5LPBrjKuLkVrncXX= ffKTn+Tkk0/e7nj7B+NHUURNTQ319fV87GMf4/3vfz+rVq1izZo1dHR0EAQBw4cPZ8KECYwdO5a= qqiqmTp3KT3/60+1cs1EUoZSiubmZIAg4/vjjOfTQQ9m4cSMbNmygpaWFrq4utNYMHz6ciRMnMn= bsWGpraxER/vHss/jIoYdRatvKyAP3Q+pr4qdVZckF+TgvnVIYFT+1HXLIofz0x1cmYi7Nrykoa= yCKKKxcxXPX/Q/FefOpNiUi5aNF4QtoK6x+cQmTTTm7fN99si1GKTBRRE4rhjfX4nlFQhE8JXgE= yWzKEINPRyEpiK412Fj478j15CmLKRfxiGILHUkwfJBDJAn1imffY0Sy+BIlaR4xFcft/U0dL2B= DlPbIBZrPnHY8rR3xzE+PKEnmCb4W9hkzNBk2dyw0eou7k8yYtVlNRWXip3A/Se2hROEr3bdW62= 6y2qaGMLJctonrPK2mJdDcVIdW5aRQi0Ipny1bQ+6+dwFz7nuW9x9xEJ/82OGMGtFEzvcIlE4OP= aiwuqrsISeeGGN3PYXaW3GcO1ggSrA6rm7h2UzSxRknEgEQ2QitAkQ8lNL/j703j5OjuO/+31XV= 3TOz9yWtjpVWq9UtdCEOgbAIhw3GBmPA2NiO4wM/Tn42j3M8jn+xQ+LEzsobkigAACAASURBVGX= Hdn4mBkOCE3wKG+MjBgwYMCDEKQkhdIEOdGtXq13tMTsz3V1Vzx9VPbvicMKRBPJzvV56rXZ2pm= e6prvqe3wOpHTVHyUd0D9NY6wSJCJBCl/R1Xpcaz8L6l0C5DgI2tnIjROKNeNtlexYnO++H+Gbz= PY4kIN79pgtmrUVhoeL7No3xPyT5tM5dRJWp6QCkAEKw8kLZ/LQXXeycdNWJkyfwGh/D/f/8hes= 3byH9knTmNrYyq5nNrHx6Q0MvP8K3nHhW6gLDI89+Cu+9vXVBPkWlpwwi/69O/nbv/xzrvid93P= Fu97J8PAQ6x59hAceKFM/qYW2iU0US0PceONNHBuN+NClb6Y5nyMIJEmaQABGl+k9tIvbbvs59z= y2kykdk8hHAesevZ8n1j3BH/7vP+T0k5cSmZj7b/85f/O1G+iYOYeZM2eyb/8Brv3y37D17HP4y= AffT3Otcg44BqQSCKEpDvXz+BNPMHnOibxtVTfFoWPccP1NPPDQQ8yeO4+GGsUD99zB2vXreP//= +hDt+ZDndm1D/+pBps+eQ74OjLZ8/0c/pygkkydNRo6Z75GkFWwao6whRTKqLUkaM1oaZfPmbZB= q3nPZGcRJiccffpSjgyUa1q5lwsR60rjCT39yK4f6y1z54UvobM/Ts/s5Pnf1X3CsFDFpaidq9B= i3rP4OB3pHmDGvG0gpjQxxxw9v4fY77qWuuZ36lgJPb9rA/Q8+yV/+6Z9yyqLJ9PXu5f6HHuXhL= duZMCli/ry5JNqSGIi8BmBWWXfdQ/GKG0ev2+AtG+O1xhhXkXsx0d3x/y8UCnR0dNDRMUYUeDH5= D4BcLsfkyZOPeyx7H6UU7e3tTJw48QV/y95nRleXQxNl1jlVGxRLM8IDrF98jMeCWWupq6s7Tuj= 2+c8dr+M0HmTZ2NjI4sWLWbp0afUzZs/JPms+n3+B08R4+ZPxjzc2NtLQ0MDs2bNfIKEipRx3XE= FNTYHWujp+9S/fQeyez8y3n0+ufTKEAUZmFGyqxAIVRjQ2ho6jm22+aYIeGqFnw0Y2fev7xE8/T= ZiU0YEklQFKSIwKMGGOvsFBTBIjCnmvw/U/NXyzKAVtTTX89Z990kHm1RhNX/tJ3bl/mL/+6nc4= 0DNSbRtK+RK1SOG03xtrJCPDZdcVkoJIWOZ3TycQ1sHshcHagMHBEVJtPJt3vLH7K51zAcotO9J= YVi6fR2Ih9BkpwomnVJmK1ZZfNiW2+sMKTxJQrrWskVgr3LViBaVyhWKxhBCOVCCBKJSEgRp3uE= ye4+WdhQuOxFgw+7zjGfvrlYGsNc9bi8YnZ4JQwpzuKbS3NXDgaNG1miRIFVHWhlgbfvnoU6xd9= ySLF8zixMWzOWPFEmprBdqGQOBaXBlz0vrq3OscYSWsAV0iDBUxebRVGBugkL4FHDqMpE0QSrkE= w8QEyknSSO+XK4x0jFt/vRphXWtMOAFgU103PEP0VQXxrvVaSlKGdZ6G5okECm+z5a2hbMzkiQ3= kggqDA0fJWZC6ggpC3nTepXz0Yx+iEcO+7eu4/pqv8Oj997B48SI66lJ+vHo1k2Z28fv/758yva= UBklH+/OrPctePvsc5Z59B6jF3M7rncuXvX8Ws2RM4NnCEz37hJh5ds453vfU0mutC0JJQhKS6D= DYhTcrkG1q48N0f4D2Xv50akfDwmtu57oZvcM/999I9ZyY1Q7380zduYO6y0/n8F79IUwClY4e5= 5Ts3cs9Dv+SRRYt585sWEliL8AEc1oC02DAkiEKELrN981P8fO1WLnnPx/nob7+Dgi2xbeMGvn7= jzTy57knef9Gb6J7dwcantzF0rMi0+hr6Du5jc+8w517wNlrzEWBQ3m5r9qJlTJ88kfSarzNQP5= tLP/w7zJ1YA+UiBkVQaHI+yiZFBTlaJk3g43/8h5y4tIN05DD/eO2PeXj9JvoOrWD6hCn8/Cf3c= OBgwh/+7V9y2opl5JNBtq57mj/+86+ibAp2lK1bNnP//Y+y4vRzefcH3kdLa47tO7by6T+7hn/7= 2W0sn38FQQSJClh52io+9cnfpq2lEStU1VVPikxD3YkXi1eRSb3ug7cXC7j+vd/HP/584dqXet6= ve/2L/f0FjwmBsdKzB70fomed/Uc+1/NZoC8muGuMYfXq1fT09HDxxRfT1dVFuVzm3/7t3+jr62= N4eJi3v/3tLFiw4AXHfrH3ttYeF9xlIwsK/9058wGZEYK6Ca00CNh643fY8/DjzLvoAqauOI2ot= clZVwmJlaCF20SkBWE1Ik0xxSKDW7ay/d/u5MCaRzEDg9ROn0Jt51RqGlvItTSTa2mk0NJM0NCI= bG+D2ryPkf0u/vrdj17VcGV2TWPO238JgxNOCrDSooWge2oTLU21HOorIYVEZ+KtLzIn0sKktmY= ++f98gDiVaF1BKEVDTZ7JLXkCK7C+RWtswJGBEWQYucqoxPmn2ldgPTluWCRWW6Q1hEiEgVBYpN= DVNpX1mrtZgjD2Wt8uVs7kXesElc8zXLIMJSC1QKeWShJz16+eoGIjUitAQVqpkG+IqKnJjx3Pb= 3z25YajIpNjy6ReZNV/lIxUIf8jeEyPnfLSFMIHhkJA59Q2Ln/nW/inb91CoBTlVFCJK8gwcixT= EXKsnPLopoM8/uRe7r3/Cd516YUkpgA2IgrzxGnxeddB1p59fWpUKEAJ5ZinMgAZEEjlS6cBiQg= xQE5KhClisA5/pQ1JWq6KqTqSgavsZaQCiUFYpwHoJFlCT+p5GYYOLzUsJIlB65QwF46rCMuxzE= BatImxSerP01DIF5g1dzEycPf5zK5JnHzSCdx673YO9w4wuHsffYcOcsL8k9m7ZwdH9ofkRMq87= m42btnMrl3P0ZSrI8zVMnP2PDo6Z4AoUldfQ31dLb19w2AMUhoPX7MEkUILiKKQmsYmOubMcjwS= DcuXLmLBrGls3PEsg8UiTz+6kdGRlP995UchkqRpSn1DgRWnL+PuBx9nw+btrFqxwBGHZOaLbLF= SUEk1RidAhcfWPICI6ll19nkoCcIIurpn8PYL3sJgyRDlBScsWcgDT93H3h09zJvUwf0P3Meg1q= w852yUFd5wzP+TygsAa5Ik9jJDxgX1xrjkyrPFAxUyubOTWfPnYBghn5c01eUJTYzSoyTFETZsf= o5JnYtZsmSBa2LKlJYpLUxsqKcgDCYtsmvPTo70D5Ev1LJ/3wH2HRhFkzCpdSLPbt2CTYuUTAmV= y7Fi5ZtobWl2YEiZSZD4VimvDe70dRu8vdJ2xn80sHu5x/t3j5OpTfuWkhDe064qZvjrP+f4IPG= lpDl27NjB5z73Oa666qqqpVUYhpx77rk88sgjfOITn2DevHnV4O2lPvfz3+eVz7XXLJISVVfLhJ= mdDD3wEOVHHuexp54imt5BxyknMv3Uk6mfPo2woREZRIjUEJfKVI4eZf+GjRx46BFGtm5GDg+ij= MW0TeD0T/0BjctPdCKmocAKVS1lCJHtPWNYnv+RsVu25ku3+ZjjZFEy4VdTbS0K8bxr5yU0qWpy= AXO7WlyLNEOAWUGY4bG9IX0lNjy9dSejFQ0ywqTaQeW8K4QzdLdVFuN//LQ0QjkeamoEYSB91dp= 4AkLgwftjCvYZKlLacRVjK4hyOYqlMt9efRs3//DnSBMTSkWcJpSMYDStxUoJJiaKBHW1AS3N9d= VZJOOzvnis+5JDCoc1C8OoeiRRvZdcoPuSgZvI2r1yzK/Uf3fWf9/GujbLuWfMp2PKR7j93sdYv= 3kfA4MJaQWsCcFYrAgZjlNUKNiyu4evfv1f6ejsxqJIKmWEcnOW1df/azmcr2BYXLtbhSS4ioWz= czNE9U3UTZ7J6GiFSu8u8mmMNDEiMVitUKoOLTwvUGRBmrM0UJaqAKu0GYfZBXbSP/7KhwARkA8= VNUFKpTTk2mQSAkNVJ3CwXKFsJU219SgLWqdYIZyumL/KZS6gtqUFKwOK5ZThnj6S0SLr1v6K9V= ufIZABolJBVUoIAiqVFHKKlACpIvD3pFQKiUYxJvSN1J5Z4SrUSWowQqCFgyoYK4jyNTQ3NFOuH= GS0krJvfw9C5Jgw1XWmwsBl4IWGeppaJ3BsOKaiXcKF1gTS4Y+tlAgpCMIAa2L6eg9RX5OjpbEG= hQEhKTS28tYL3uqxh8dYsmwpbT9dx8ZHHuaspW/nwTVrmDazg7nzprp1SbskrKoF6uEAgbSoLJG= XAiUs0vj6vQyPrwYigAApBYFIECZmZGiQ/mJC56yZBFaSA7QSWOWOE5kUXSkxODTIYLHEnXfey0= OPPk4qR9Fo+g6VaaxRWFMmERobSKQKkVa4RKS6vojqIiZfSbn/eeN1G7y98UaVG1g1V3ZCCS/Pu= 25kZIQ0TWlsbDyuSlYqlfjud7/L1VdfzeWXX04ul6u2dZuammhoaICXGZC92sDWeuFFa6Hcf4y6= xmZkbR1q9AjhaAm7dQf7nt3Fnh/+HFVTA7V5CEKkMZhyBT0yiizFqDQlZw3SCCqhYOJJiygs7Mb= U13hJCO0sn+yY7lY2w1WZhv+R0ZvAGDBSMFoxqCDbbpxIbpqClYI9h4fpP1Z02WY1MB+zpnn+sE= Z7g2gnkus2O+dmoI3FyACtLQf7hlnz6GZi1HGZ49i1Xf2YL/OsFMY4rMdwbBFKk1YgUo4RmgpNk= kBtXlAXSG8vNf4ELFJJTGpJEk0YRlQ0VLRFJymBsFihMDLAyhwITaQUQVJmYfdU2lvHYAmvZg0V= HjYhhKuWZUVCrTNpkBefG+HfVx4/i6jQhebGOENtjCAUgvndU5g+9SKOHB3g3gee5JHHt3Hg0Ah= W5UisIZAGrRPKVmLKmqFndpIkIaG3m9PZB7EZW/j1e7sYAamSlII8um0aDdOnEw8NMHi4lwknnE= jLqeeQO9RD770/xPQNo9BIY5DWqyb7tQIURhisyq5V69qnvtomrcQQYIVEC+O9WF/ZrFgkQgTU1= eRob7D0HX6O4ZER2urqEBqsStE2ZceBPsrUMK1jGqEPPlABSDGmTpFqqJSdY4MwREoghWLG3CW0= dM1CWMibhJyFXG09M6Z1Ujw2TOpZoMJmqZxBCocjtsaxRYWjJfvzVM5SygpCqzwMwYJNEKKCVAJ= tBWEogJRKWTPG/XZ+3aVSmcYgcEGn1z3TOnNVcAFhnDi3hZp8RJokVZcR67tUJmtZ24Cp0zpZMn= cam55cw67tC9i2cz9v++h7yOecdZ+0rmJsfLtbKGeJJauJlxPSNkkF4WENxrjQVQaymvBqK0m1w= BrXYs/l8gQ5SHWRwDo1x9SLdQspvBuLRUlJLswxd95spnZOwyiNFS5xaK3PoXIFIlWDFhGJ8WtL= RpaxFiG9CkDWQz3uTnz5195vgrfXaFhE9YJ02Az3ux1XIrXP80Z9/jDG8PDDDxOGIWeeeeZxVZS= enh7OOecczjjjjCoO8KXsoF4KD/iaDy/ZoIxmsLeXcnEUWajFin4nsCsgSixUythSTFJUhIUCul= RGVGJqtMMJus6VdAKnjc3MPOtcwoZGTLbOaN8GEbZK1R/T2Xr9bkSvdlhASMWRYyN85drv0dtfJ= MrnUSpAGIf3SdKYvoERjg7FIJyZZhVD+RJHdX6EGbPRaeVZq7HCbSTl1LD/YD//8p272d9zDGQO= a1KkcNBtbZ8XvL3c8zIWJSSDo5rP//0/sWXXIXJRAdLYLa9SEgXw5lXL+ej73voCXSWpJDpNnAe= ukmhtnCixVARBBAROf9FarEiQNiawFRZ0TeTK919MpESVy1utmr0S3JuF+vo6L982ZhWUJMkY9v= UlXme9JsiY7In1YO+stOzayNYoIinIFRQNU5uZ9q7f4rKLzuQXv1zHo08+y94DfQyXNVIoEhlRM= SVCYREKT95Iq9XA4yU1/nsZty81jIBEQLlQSzRzERPOu4CB3Ts4/MCDlKfMga6F1Na2w+P3kBzW= rhLk2eiKAOWdSYQJ0MqQCgukPinIYUSIsk7cWyCrAa15VThOibWK5qY6Fs/vYO3TW9m+ZRuty09= C+upf3+AQDz25nZoJM+icMcm1cKUiTg3lkpNKEggqI2UGDvVSyCmamwvUMIFCbT3Tuhfz9isupT= 4XUisNJJLh0VEKjXVs2rBprDadeW9ajU5TVNUiygOutGciWQlGQmIQ5djFdAiGB4Y42HOYxqaJN= NZHzJw9FUTMM09tYerklYCDJRzpGWCkHDNlchu5EIzWbo2WrqysZOAEqpVCyIAZnV2kT65j7+7d= TF3ShUAyPHiMhx57ilhGnHbSQtoaC7zppPlsXHMP3/vhj6nIOt608iQXpAgnmi180cBah+kcs8s= CvDVeoKTzJM1sjlWAMZpAuNaqK0eHWBlhZURNQyNT22s5eHAL5XKFQm2EIsKkgsSCVpIoX6C1sZ= n6mgKnnHIS51zwFtcxkHCsXCGSMYqjkCpHGMqSJO/vWg3aLE526QUeqb8J3v4bh/XK7GPMpqzhY= 55HSmAcWSDDnGUaajfffDMXXnjh8Ue2lvb2dqZOnXocSSEb4wO5X+fQMP54v04sOCNFjCeLvGjQ= aR3WR1hLZXCQ/v17qGtpYujQfsLY4f5SpRC1BfLtbUzpmk79hImUBgc5uGULyaFe1wLw0xcHgvo= ZHdRPm45WISpjjWWK9S+WpLyhNd783I5Tqxp72G3q2kBqBTv29tI/CgllsAppFFIajEncYuFvZa= ON4wP4AOu4t/L4rnJqSGJDbSEax0l32X8lNfz4tnv41Zpt7Ds0QioU2ggCqRDeDD3TTDNjh/SMR= qp4ohe0IcdVz5wOpkUGgmIsGE4jhlKJxLV9jLFEgaZsghcA/60XLxbCAc6tJwaFyrUgA2PAVChI= iZUpUlaoq5WcdMIC3v3236Kt3lZFHjKxXesdDsZ/1HG5gd8MM1aYl6Hw1b/GhnqUhCR1m7E1hlI= 5JvE6eSKzxqrOgWNYp74yQQavEJbamrxnn4oqNk0JzzSQDg+WDy35UPLui07h/HNOZOO2Q/zD9T= /gWNklS4EKfDsua8WOc3fIwuDx8iSvw5GiMUpi8zXQOgV7tIi2ivKzTxPXFBjuO4oZ6iOSAVoYK= ghE2Oj07jTkpfXBcUbUCEhFRFk2EIs8ioTQjFLQJfLCBSMyCF6+5M1xQ1LX1MzJq1bx5LMHuPU7= 36N0tJ+lJ8ym79gR7vrVr3hy8y6uuOKDtLQ1IEict265zEMP3MfcmVPoaiqw8ZH1rFm/g5kLl9M= 5dTLNU+qZPms+v7zzFzS2T2DVacsZ1gl3/eJ+jvT3c8V7L3MOKr6CnqUk1lgCIbBaY4VFC4uyEr= Txlg4SZQyD/YdZu/Z+Jk9tpjFvWXPPWrbtGGHVBe9gQkMjU05eyrTuTm797k001iiWLprNnl07+= cFtD1HTOo2Tli0mClybVNsUpEEIhTWKwJPbBAWWn3Y6E+9cy50/+Cat0ftoaaznicce4Qc/u4dl= p5/J6acuBwwLF8+hrbWWBx5/iumLTqJr8iQiNEK6YExl17FQIJ12arbfqqz17MW/ha/QucvdetK= SQAq35xokRuSQUYEzzziRa6+9npu+823eeemlFKhwx0/u5MjAANPETGTQwNzZc5k08X7uuOs2at= paWLJwDn1HernlzvuZ0t7Eb1+4HBuXXd1OmLG10X0jVXKC4MWJky93/CZ4e42H1ikHDx7k6NGj1= NTUMGXKFOrq6qp/LxaL7Nq1i2PHjlFfX8/MmTOpr6+np6eHb37zm9x7770sX76c3bt309jYSHNz= M3Ecs3fvXnp6egjDkM7OTiZNmoRS6kUDtSyAS9OU/fv3MzQ0RBAEtLe309TUVBX91VrT39/Prl2= 7SNOU7u5uJkyYwObNm3n00Uc5++yz6ezspLe3l6NHjyKEoK2tjba2Nue6gKfVGUMyMMixXXvomj= 6TgW3bKQUGWVtDa3cnbbNmEMcVjux+jgNbtlPf2kLnycsp9Q2y/6mNJENHyWkNNfW0zuriwI5nm= TVvFkGoHOhYepzK80DWb9S4zQoH1jdWuf8Lg7TS4TSERfvWqMDbf9ksGZBgw6rivzEgZIjx4pTW= Ck/kjJ2dkrcLSP2NLv3Xte/IID/60T1c+dsX09aY9691c5uTkrwo0NtXpCQiYqnJsPfSeI004Vo= j3n4eSDFCoq3ASF1tc0r/mXXWPxDOd1WRKf1bjHWYH4uvBKA9JUs55wgv1qk8/CAV0hEQhMIEIc= QxOWGYPqmJloYQJTQSyOdD2lqbOWHBfBbO76K5PiKw+Kqjq5SnOCsvK53NlMA65wLr5DSMdRUt4= VuODiToQlYpFImFjsnNQEyqQiQBAYaeo0MMlgytdU6vzn0DuFaeMQyPpoxUwBiBCRxvOFQpE1rq= nBaaxRM3kmqlYLw7i0ATSUFLfcSyxR1MbW9hcHcvgXQOBsIzHFMLQgRYAdKacaLKr9/ADUDK8ZV= RhRUB0hhyQ0dQB5/F9A9gRodIRMiQyFE7ZSrNrTMxiaY03Mux3v0UKCIl6DBkVOSoaZ/JxK4l2E= ITpniU0Z4dVPZtQZSGyAknkvvqhkCqHN0Ll3HZewQ//sndfPdfb+S2tnqGi0WKFc0ll72bc88/m= yAMgRJSG5Q1jI4Mcf03bqReD9Hb00PrpC7OPe8C2lsaKMgaLvvtD1K8+Wf88KZv8dDdt2OF5EDP= Mc6/4HwKhbxPqlKsTT3RyHqGtXYtdZtVJiUoRWpcizPEEErN7r27+PI//ANROkLvoT7mL1jJ2av= eRHNtgaB2Ar/7yd/nhhtv5oavfY3JHS0cG6mQiFre/Z73sHD2NJQdxQrlvFxNiiXAmhCbVBy+TR= Xo6JrFle+/hG/d/CO++pW/p1CooTg0yOy5S3jLOW+ivq4AukhtSxOLT1zKA3vXc9b5F5NTIRHGt= WyzDpZPodya44JE5XnD2liX0NoUrUEEuep1L70Xq8kwujYl9XOzctVp7NvzLKt//iO2PLODBiyl= oSJNLS0gA4yJmNE9m8uvuITv//A2bvin62lrrKNUGmXI1LL8g+9DyAL5fIHAVrBp6bjA7Th1x9d= o4/pN8PYajCyA0lpz6623cu+99/LmN7+ZQ4cOMTAwwMc+9jHa2tooFot8/etfp6mpidNPP53bb7= +djRs38pWvfIW9e/cyNDSE1pp169ZRLpc55ZRTWL58OT/5yU/Ytm0b73jHOzh8+DC/93u/x6c+9= SlWrlz5oheCtZY4jrnpppvYs2cPF1xwAfv27ePaa6/ld3/3d1mwYAFCCDZs2MDVV1/N0NBQtcp2= 5ZVXcu2117J//34OHz7M0qVLufvuu7nkkkuoVCr84z/+I5dddhlnnnmmc00QIFNN3NvH6MEj1J5= 0KmZCG+0zOpm2aC59u/ew6+F1mIEBTKWMMIZiby/PHthP2/wTWH7pJWx5bA3Hnt1FobUZKQQ9Tz= 3FrHPPxtbV+o3GjJNf+Z8zMvReJhorn48lQzivUANhLocdjccySmuc1pXR3i/S++55tX1nj6URd= pwRkq/CaAvP7DzAt1bfxUc+cB61eY0UkfM0lfCWs09id+8gdzz4JBCirXRZu6e3W2tQViKNY42B= k2UIfIAnjdPWckB5gbIKZaT7WxZ/i/FNKlOtcdmqBpdrcShA+SqiMgppIbQCYQwiday9vJRc8rY= zOedN8wjGcSekr2IpLzws5Ph2sXsXZfHm5O41Nk1RNueKE1l1r1oMHYdNEq7W2VzIEaHRqoBJNY= GwHD3SRznVjniBqn7Z1rhAtedID0eP9hMFERVtCFVEYBImt7QijatmU5UTUWQow6rArDW+4u1ss= oyOUdK7KVRruL4Cw/j75vXZKn3+EEKiTXbNaoQuY6VATuxELTyZ+v4jDBzew7DVTD3nndTMW0Y+= KmCtoGAMdQe2kdx7K0cO76VSN4GW5WfRtvS3iJo7ECrCloo0VAZIn17D4Qd+jhg56sutr2yByVx= QpMyRr2vlpFNPp6NzLvsPHmRkdIRcTQ0Nja10ds+mtq6m6pkaCEM+ijhj1SpmzJiMPdZPFIW0T5= /B9KlTKAQKYQPmLlrOx9oms3//QQb7jpIr1NLY1sqMri4aa/Pku7v4P5/5NI2tzYTSEzRkDb/zw= fdRrlgmtjZjraoSZYQAtCEwhpamFs56y3k0tzWjSiPU5XJM75zJhEktSKkRJmDx4pP5oz9q59Dh= IxwbHCBXaGDS5KlMmz6N2lCAVZx+zvlMW7ySyR0zCWREx+zF/P3f/BmTOjqxUiGjRk475wJaZ86= nt3+YJIlprKulc0Y3bRPaCfDWVETk65pobpvIyact8TOcEU5c1V8Ih7HL17dw2QeuRKt6JjQ3YI= gJonqu/synaGhqQsiQ2oZm/ujTf0BYyBMphSBCKsnb3noeK05dyfTuDgSK+vo2Lrv8/SxZcR5H+= 4vU5mqZ2NLi3CQKEbkgJAgbOPHklUyYPJMDvX0UR4vk6+ppamlnzsyZSFGhe+GpfPVvupjW1eXI= fGMrwPOv8l9/D/wHrrvfBG+v0cisuz772c9yxx130NXVRalU4gtf+AJf/epX+Yu/+As2btzID37= wA/7u7/6OhQsXEgQB11xzDbfddhsf+chHEEJwxx13cP7553PJJZdgrWXnzp1cd911XH755SxYsI= ATTjiB6667jhtvvJHFixdXxX3HD2stv/jFL7juuuu4/fbbmThxIkuXLmXz5s381V/9Fddddx1aa= z7+8Y/T1NTETTfdRE1NDVdddRUf//jH+ZM/+RPuvvtuHn74YX74wx9y/fXXs2LFCtI0ZXBwkC9+= 8Yt0dHQwd+5cpJSkcYWj+/Zhi0Xi8jCrLruQnU9u4Ykf/gh5bJQoBSu088hMLSiLOTbAkYfX0rv= jGU4452yiE0+hHCfs3vQkJpdHj5ZQSG8e7jedakvpjT2Er0plCvDOQYFqTum2Xxewaq9rlMQlQg= k6LRGoACUduzSQoDEo6wzirXGVqUCGGB07O6RMQy0LRazBSwVyDgAAIABJREFUiJD7H36axctm8= 6aTZzmWmtEEEhobIj7w3rew58Aetj9zhJKxWBERhgV0WqmyqDMYIsK1LJW1KKNcwGgzZ1PjW3cu= 8Mpisyqgv9o6Ht+odOcvM0W5TNmy+ntKKC2ltEwUKIRNUTalNvDODZlKAI5cl2GBrA96wCAM3oZ= L+aDQzbPBYAgoxRYVuKooviVjcOcaCEckUAJmdU4lQlAqJwgZoI1mcChmw4bdtJw5x4GxjcIThj= Ha8vT2A2gRkKYxgazFVlLq6uqY3Nrmq2d+JkRIYqyzxhJjev5KOHmVVFgqia/MGeOwi/9VF/F/0= hAWlNGgHd7PgYYMWkiS+jaY3EVFK0bDGibPW0zTaeeT2AJbH7qH2lxIW/c8ctNmMmgEaUM7Dae+= mfazLiaob0f39lF87llqauuJOqYQnXAipQfvdK4e4aubOQNoJKGMKNQFdM1qonPmTLR1zE+krH4= 3OkmBFBU4DFfbhIksP3kZtV4sXQQBgQW086e1QciUjqlM65iKqTjlOJlXGKsRWIK6GhYtXoQR2k= MFcggEs2fPGlPst6BJHcHZqiqBRcqQyVOmsHTZCeS0Jq+Eg8S52haIAGs1XV0z6eqcQawtSoWO3= Skt1qYYLWhvn0brZOU8dLWltqGJ004+0REpAKMiwrqIBYubmWcs1qQIaZHCWV5J4wga5eGYh9dv= ZdHSZbQ255ECkjLkc+7es9bZgSkFhHm6Zi9AawWe7GSlYumJizCpW1PCIM/CJQu9KkLWsgyYNn0= a06ZrJ1+FQaoaWid00jqpm3KcIFXOWRAaB+8wwmCtICrU0T17Fl2zukmsILaQV6GTMbEF6tvynD= 5xKlpA6iEfL00QenV72W+Ct9dopGnKN77xDdra2ujq6kJKSaFQ4Oyzz+Yzn/kMH/rQh7DWEgQBg= 4ODJElCFEWEYchzzz33Agzb+J/5fJ7+/n4qlQq5XI5CocCRI0colUovKug7MjLCd7/7XVpaWmhr= a0MIUbUOu+WWW9i0aRM7duxg586dfOlLX6p+3quuuoq7776b7du38/nPf54bbriBffv20d3dDd5= Oa9asWQwMDLBmzRq6u7sJwwBTqlDef5AwrrDtjrvQiSEYLlNrNJ7sU2Xc6EAShREitkTWkPb18f= QtP6O+azpTZnZS3rmPtKGWpO8I4bQOXyWRmBcAPP+nDjvWGLCWAElDIeCtZ53CaAwWRT5ynoZO+= kpSTgybNu/h2T09GBm6Jp0IkDbGSu2xXa4FZ5xbJnEKI4niH2/8Kbncu1m+aAZ5iV+MNa21ik/8= r8u55us3s3XfIBWjqQiBUcJjkjVGWgdJxMtfGEiF8zzV0mBF6gJU4xZOLf1WMh4oh3R4vapjw5h= 4alY7Qnp5A3BSEMpQ1mWCfJ40SUhUilDC61mJcQGMDyCFs7h3ODnXgnfxpvfLFYELpqwlDPIcHo= 659qZ7CUQJbWK00WQIgVyUY9HcTi44axmRFLS11TBpchuD+4ZAKjQBpVRw7b/+gE3bT2b6tDaa6= nOuXTpcZu/+ozy8fjNDZd/SMZCLJIWCoKNjomuZSwexv+f+zax9fCNaKKJ8gZqaWvK5kNDrRhkE= h44Os+vgUYzKeWss690b3ph3i7KGyFjyVnhbrDzIPKlVaEfPRAR5Ypmn0DkHWdPEkWeeY/8Ta2n= VQww9cht1ypD0DxJNX0j7/DcRFBrofeIe+u67DdHfiwgDZsydRWlgP7VxDzYdQUe5V1WZtNaReQ= QKIwVJqlFIQhVirEanZZQKkUKhAgUmILUKgshJbCCQKiDwSYf0ZCVjfbVXCLRJicIcWI3VcVXr0= AiBDpy3sWPdCg83GCeOLkD7Kq40jpObBhEVL90TKShI5zmstdt7lJBYqxGB8z8xWhPlAox13qSZ= TYgMJMZYMNL7dztsbJqCDJSX6rAetO+q94mQjqnpoklKA4e542c/4u4HN7D90CB/+KE3UxdIctY= hRYy/Z13wJTHOgNRjfzOcuZPoMmhkGGAAlU1ohv8UmSWdxhC7xEyEWBMiBMQVTS6XR3tNQCmUY4= wqJ/RsqooSEApFYJ22nVu6PI7dOtawCiTGOnLWfwat7jfB22s0BgcHeeaZZ5g8eXK1BSmlZMGCB= Vx44YVorVm6dCnXXHMNx44d46c//SmHDx+mXC5TKpWOC9jGOyNMnz6dL3/5y/T19VU9T/ft20dD= Q8NLMlePHDnCgQMHaGlpQSlVPWZLSwvGGDZs2MC6desIgoDu7u7qc+bOnUtdXR2bN29m0qRJzh8= zCMjlclWiRF1dHfl8nscff5z3ve99hKEgHR6hcqiHUBsYGCI0ktA6ar5bPxyrVAiLCRUNUyZy9L= n9WAKEEQQkjDz7LM/s3oFKLalJObplC3UnLMSGuTFG4H/xd/qfNYTNWoPH52TjGl0+fnPtwsZ8x= AcvfUu1uaj8AmQzdp6F51aV+IsvfZMDfSOoIEInKUqFjpWKQDqTKBe6WYGMcgzrInFR8s833cnU= T13BpNYGanISx70zdE9u5Xfe+04++7f/RBBElEzizLpJXVA43ujaxwvGI9S0cHpxqRfuNCg0EMj= MnmkcflH4LP84TKOoNpENzkDaWF+PEwFShSSpRRIgA8dsk8JVFavdL+HYYGNz6vSVhLTZ9Prj4z= YSJUgllLThnofXkQtBJ15yJbMK05b1G7Zw5solhHlFoaBYefoinvnBfRgboVSO1DrLsjsfXE+Uc= 9KioQqoVBJSrdEEoHJoa4mkIZBF3nPFZeQKPvAlZTSV/PSOR3hmXw+JyM4lcBLGJkVYgwwUsRFo= EVJJNbnsXG2GGXsD3jH+WrCZibyVWBmBCKtSQTrR5IXAHDyAjUeZsmA2Ey++hGMP38XhnZsoxyW= sloiGdvLdS0kPbqf0xD2Ee5+kLh5CSMGx4W2kOiEyEEYhfXF6/DX5MoZ0fhZIkfnsKldVM6Kq2y= dRpDpGyMA57khFbfMklp+8ko72Ce4YUrgKutauYqvGRJslyuE1TVq9FrJ3N1hSNIH3KLZiLElyL= VJXAtLWsbILgcJEEW2ds1h8UsyElkbncJIV0UWGufVVzzhxa0mYI05jVBB4GQ6NkgHWu/RIqdBe= uFpInF0bmXKWdGSqrEqvBAkOt2usZai/nyfXr+fYcIU/+D+f5dSlc8gLgSB1ouRBDqvxtpOpq2Z= aWYUyCJ9BWi/Joa3DyWqDs0PLSH3j4GdSKFJjMNYQCodBDYPAaU2SeFcP4dq51rXzq9qWSIdT9o= ugydZC4Ri9SrkqPi/lL/0ajN8Eb6/RSJKEOI6dAbsfQggmTZrEpz71KZRSHD58mNWrVwOwYsUKa= mtr0Vr/WoeH0dFR7r77bjZt2sSqVatob2/3UgQvPeI4Jo5joig67tjZ7yMjIwwMDCCldL6jvtWa= VQLjOKZUKlGpVF5gT6YChQoCRkdHHUs2Takc7qV8dIDICr/lZrGJ8epKEFivnaMCps6dS8++Q0R= au5K59oiexDXKgnLM3rUP03nh27Bh6NiA1az4DbghvWCI40K2KksT61pvVqAInKgmIIwhDOTxDM= 5sxRIQCpg6IUdzbcih3jJCQyjziLTiWqbgAyO3cBoriNMYmYuIjeHgkUFu+u69fOJjF5CLQpQCb= TShlCybP5lPfPQ9XPetn6HjMUcCad1GMxYiZNxqjyXzeA9pM8xaVgxyNHmDC4gssRNU9fZHUtiq= FlR1A8ExTG0mrqpd9cxB8yU6TZFC+WRGVifJORW4rFxl1bzjJ9G3gJNqi1anFiFChBDEqUWJglv= gTQoqQEqoJCWSxEJkyCnB6csX8Ks1G9lzaBRjtZNNsBIhIyqJW+xHK4nb6ITyrVvtLIX0KIsWd3= DS0k53L1iDFgYlBccGi2gijHRYRlKJFriN3KSQOI0sIyxh4B5TElQYUalU3pA4US0kFaGJQ0sYp= CBSjHVQgkC6ak9NoKiNhzjwxHpqJrUTnX0p0aJTmTh3Ga19B+i/5ycc3fQENflaEDmGe48QHzlA= TmgHbUtL2LLEyhwVLV0FReVe8WcWaBQx1gSkOgQFgRAYd7uhNGAkgQqx0oVaQlhmn7iSPz3pLKy= M3PO8Hpv0dl6JTVBCooTylSPl7xVDoiUykA6oL8eJWY8LTgRgE41wlgYoBGEQOuhFPsdJ576dE8= +9GEsIqX9ZYEl1BSkD0JZQBigVVAEdMsih0Sg0gXJVciNdRU9Ztxa5FqZB2BRhDNqCChzWzGrfG= teOPCElSKton7WQz331n8EE2FBhpcBQIbFlwjDnWts4VwUlfNhifUVuHM5VCEFitWe8Olk7Kxz5= yHjdRGssBAJtJUKFRFY6DV9Z5VUhZOBW5sBUs2Tr018jpFtXY7+WqIqvlueqCYAwFhloT7UI/91= E6pXsaq9Pj5Q34CgUCtTW1jI6Onrc4xmzc3h4mGuuuYbNmzdz5ZVXcvHFF7N06dJfyzxJ05T77r= uP73//+1xxxRVcfvnlnHXWWdTW1r6oNEj2s7a2lpqaGkZGRpwOjn9usVjEGMOkSZPo7u4mTVP6+= /urrxsaGmJ0dJSWlhaamppobGwkSRLSNK1mLHGcUI4rtE2cgJQKqyV9W7dgR0eq2b4zfsYb0Ttx= RestapCSYEYnNhceV2vKmmUOZwB9Tz5Nae9eJ7Zo8Rkt/vnP25PeYBsU48DnmT2PtU5/qVTWGBz= jNLUSLSRaClLhyJiOHWWw0mKEJrWpe752TK+8EggTo2yCxGCMWz6McOKvGkNqNTZwTVSkITGaxz= duYfWt91NMLCkBCNdGCKVm+eIOprQ2EmgQiUCmIVIHpJUMm5diSbxVmSWwGpmmhNY67E5cwWpNq= jNskCLFYUJi7b0mjdvQjNYoGTr1+FhjrUVr7RdOJ6ljdELgmXKBTYmAKMyTWFeJSqxwFSkkGocb= 1N6hIk0hSSXaSrR1WJpISURcQaUJBSU9U9ex2LROXEAknX2RSZ3Eg/M/dxXQqe2tXPW7V9DdOZl= IaSQJUli0TjFGY40hUAFGO90tdIJIy+SImTdzGh949ztorCl4XKLAGMeICwPlzNZT4z6PcoGf1o= 7IIIQnkWCROkFYzfx581h1xulVxmY2ql3UVwHMf1nDHv/fsXtWVPFWxiq0CIlVjkpYRzGsZ0TVU= ZS1JFEdptDgNLrSMjoexRpXhUnjBGMsNZHiiV/+jPv+9rMcue1H6L6jyMldTLjoPUxaciIlnYJN= qGtoQNU0MZwKdJiDqICReVIKaHLOPeRVLSJjrjoqdMGEycrk3irRCe+pcXAAhSVAygBlrQt6fEs= QhfNiFdJfE8Yxy4VPeJSDS2jjJGeEP5q1Gi38upvld6FyAYRwWEmsRQXSixPnQYQE1mFnXd5jHb= BfOJiMe2PnGCKl9+TEVfOtMdgMjpxdbtqzqMkAjMK1ia3EaP884cTFLcq/3mKsQgQ5ZOSYxYFNi= DAEIqCSxggpMu17rHHMeoR7rGov7F1XpAh9e9XPvzGOXauUf430pB9Fqt06INTYpYmGoGrG5U9K= aocpFXIsYQ08i14KUj8R4yUVs9c7HG0VRXic4mL2b/ymVoWL/DvX5G8qb6/RqK+v59RTT+Wee+4= hSZJqBc4Yw/r165k+fTpr166lsbGRlpaWKtZNa1ddGR+AxXGMMYYkSVi/fj2jo6O0tbWRz+fp6+= ujp6eH6dOnv+B1WSDX2trKnDlzWL9+PcVikfr6erTWHDp0iFwux6mnnsqcOXP4/ve/zyOPPMI55= 5xDEAQ89thjlMtlLrroIiZOnMjixYt56KGH6Os/SnNTM0IKBgb6ScoVVp1+BkGgEOWEQ5u3INJ0= 3OewvjrjL9TMRFwKtFQwqR2Rz2NHS1XsU7XRY11FIu4f4tk77mTJvLlIGXn5Ca+V54kLVf2eN5h= myPFZmNdjs47Cv+9gL3sPDzOxpZ5ACucYIDNz60zzzPpqhMORxHHCzgMD9A1rYhs4X0GtQSnWb9= /BKUfmMrG5ngCn/r9j32GGhkYJhEKnBiEiSmmFex58nOaWRs47cym5fM5LYggGizGpdh5Lgcxhh= aCSGtau286ZK2aRjxTGSvqHS2zdfYiK1oQqJNYpVgpy+QLbdj7H7kMDTG9vcvpWBnbuOUpPbxGr= I0LfFjNWkMZOCmTb9n08d3iI9rY6hIU4tWzdfYhSmpJifAVOkisUKBnF+p0HfFDgWqg6dVul9Ir= vYSgwqc/GAaMsfQMVGpsmUkwHEBiSWKBkSKoNAo0MBdpUMCYhCPIIJWidOIU9h3o4uM+JxCZWUE= Zw1jmnc8cvHuJwTy+VNCVQga8yWlKjvWq9dtY8MmTmjKm87a1nMFKM2bL1kJ9vQ4okAabM6GLfx= q3OXB6DTjUgCMKIRKdgnMOKMZpcFLJowRxWnrGMZ3f0IIQgTRKCIPxvym18G3xcp2oM+eP0CxMr= SUQBcgVmLD2Fw8dG6T2wjzAdxjZMo7VrGZiQdOgoleEjWDETlMaGklJUT752IjUS8uWjHL53NXs= euZsZF/4ObcuWYDpnUdq6k/jIDqLJ7ciZS0iO9DI80ksQ1lDT2IoeScilFYqlXmyh7lXMkwTrcI= 1poNEZ+1rgiTBgFF7iJkASu8aEFE4o2ONChceKalIUCmWdewFeB1B7Go9Ge5kPWZVrCoRrD2qsI= 3rgDaTRjixhJEqASVJkNF6309ncVa2bDCAVyieYOnCiOoEJneOY12h00ZlywZQ6PiDBB45ZhSqz= ZpBk+4BLxBypSbmTV+5pwuJaokZAmiJyEblAVJP/8a3PbA30XnROdgjXoVBZEGW9M49veQrr2pp= CSoQCpWy2AmN0TBA4qy+hpcPC+aBtfOqhjPUMUosNwIoou6rd96k8E80okJq0KtbkXqXAVSXH2W= k6mST3w3p7Lyf8/dJ4ud8Eb6/RCIKAT37yk9x3332sWbOGM844A2MMa9euZceOHZx66qksXryYu= +++mxtvvJFp06bxxBNPMGvWLCqVCj09PRSLRerq6njsscc4//zzeeKJJ5gzZw5DQ0Ncf/31nH/+= +fz4xz9m1apV7Nq1i97eXorFIh0dHVVFeWMMURRx1VVX8eEPf5hbbrmFd7/73QwNDbF27VouvfR= Surq6mDVrFldccQWrV69m3rx5tLW18YUvfIFzzz2Xj3zkI+RyOS655BLuuusuvvWtb/Enf/xptD= Gseeghli1azMoVK5zS/dAg/VufRRmbWWx7mWJ/s9oxNqHBqVXn21oJGxux/ceQVXkDPEjDsanyi= WHzrT9l4bveSdg5wy9yb6wg7aVHJoWRmYRTlYfoPTrEl792E61NTd46J8JYV3lxfp5ZK9B4If4U= q2HLniP0D8ekRqECUEGOcmLYsHU/f/21m5nU3IyyEqs1W57dRZxYTByTkxHWBFgFxyolvn/rXTy= 5/jlyNQFCpmAFfSOaA4ePORyOSIitwErFN1ffzqOPTyUMXCbeX6ywaU8vhpDUCIKgQIqiksTs7x= 3m7/6/1Uxrb3OLjtXs2nOQSsW1c4WU2FS7xVM7zOfeA7186WuraZvgSDlpKtm5bz9DJSeuabz22= XAp5hv/crNTWJfed9U4DFI1Ea4yVp2FkJQWTYIlx2gZtHHtEDLrHuHYvIlwi6zD9miMlezv7ePz= X/o2ESk6TVBhgVQ4L85UG+LUybcYIUjTlDAzSxcCrVOkColTzc69+7n2n39AJANEmmCJPbYvwqi= A2FZIjEHJ0OFPQ1dt0daAdG1it4FJktSwbes2nnnmGeIkxWhHjrJjgKD/+iFMtfHttj4DIgFicg= GgFKZsmdQ5g+CstzEtX0/0xBOkpWEmzT0RteAE9NH9iL3PUGdGCUwFTAVjExIZ0rXybOoXzGdw0= xYOP7MLwnqixokQJ8jhAdKeXfQ9/QhTVpzDjJUX0FdopHfnU+jA0LpyBVOA/d/+Z0QsXnWAazEY= CTHOISJb1ZQY27az9p7QAqRw1+o4/Gs1iKiyqsdNpdcZTISrCkus03czHveV4b2Egwi4AM5V593= d6b+DMKSYFBkarZCrDakJFKGwSAcoc4mP9QQEaUhJnEwHEqMkJU/+iZRC+a7hqNUMl8s0qpCGIE= QKpzFKEHr1NXciqfdfNlaDsYQi9OedeRpbL6Pi2UFB5KqJ1kkICSFQWTBsnb+wNRqMaw2LwOFq0= yRFhcqtD1JW19vqXHs3FGt0Vm4kNcbj3VKfIY+JaStPGZXSd4i8k0psIfEyRK6OmjhssQiciLfV= TtIId86hzKAdGXPWV+us7/9ai81Ys/6q+nV3rrD/qf5J//8Z2TRu2bKF2267rYpNy+fzvPWtb6W= pqYmDBw9y44038txzz9HV1cUHP/hBNmzYwNq1aznllFNYuXIl999/P2vWrGHJkiWcfvrptLe3c+= utt/LII49QX1/Pe9/7XhobG/n2t7/NlClTuPDCC9myZQvbtm3jySefZMGCBSxatIgzzjiDbdu2s= Xr1ampqagjDkMmTJ3PRRRfR1tbG/v37ufrqq9mxYwfNzc0UCgVOOeUUPvzhD9Pc3Fyt4u3evZtv= f/vbxOUKtQ11FGpquPjCC+mc3gmBYOC+B/nVJz9DzWgRYZ0PpfKedW440VODwkhLsamRN3/pr1l= 3wzcpP76eSGtni4XxZt3uRrFCUA5gxrvewbJP/xGits4zmdxxszaHyLKx/+IhXsWbrnjvl21ojW= MvCYu0KYGqoZJqlEjJ2UHyYY6yCUnIYa1GWgeYD1TogMepJggEYSAwaYKWEalxwOlAJihZS6wls= Y5BVKgN89g4RRhLqkIqZpTavILEYmwtZWvQYpSCMoSVAKMUWjigdIIiUGDSMqmwxCJ0cIBKiVop= UIRYY6hYQzlfoFZaQiwjxRJWBeSjHIkuI5UkSISzq5IarQ1p0EjFJARSkJeKSjKKFjmEsETKYlO= LkK79G0Q5ykmMUPUkxhIFkrhcJpKaILRIqSiOlgiD0Ju7iyoxoVoCEg6vZ9GgEh84R47RbC1CO2= BzEEJsRogJCERA4IoDWKVIjAZcSzgKQ8qVMka4VpQ1FiUVRjuyTxiFlEujblMVgjAMSLRBBjnSp= Iwlcdg+6zTwkkQQhvXEqcaIIfK5CF1JiXI5SpUKUkUYC9pKR2oy2inZownRaGNAKbSVJNoglKrC= DURWBufXs1HXfu/Tr/qGskb7G9T4zcg4WWRbglIPO793HfrR+yhURtEN7TSfeR41J60gbG6FfB3= EhnSoSP+GNRy582ZsZZSJp5zBxDPPo3Sknx2/uov25SfSOmcRqmU6RBPAKuxoP/GedYz+/Jv07X= +OqGMuE894B9GcU1FNzRCkEPdTGdxPsulh+u/6Gap0jEEbMTRtGSs+9UWIpkJQqJaT/i977xlky= XWeaT7nnMy8/t7yVV2mu6vaewOgGx5NeEs7IxB0q5VWM4oZhUJBrUbiSDGxuxrN7ESsX81yMbMS= JXKIESlSAkTCNgiCcN2NbrT33eW9d9dm5jlnf2RWockRuCOOVhSDOBEVHR1Vt+rezLx5v/N97/s= +dnVDat/XNK1qcKMRnA6rFI3hyuQsc7UaWgh8G+UUtmXzdDc1kXVdPLOiv7QYG8YbuKg4lyqGmA= sbmYrie2c0Koys2oGKnotrBHHaLkaK2E2twQRII5HCBRWNUoWOyovQhRqWwalxnj18mLvvf5Str= c3krEERYm1krJCxjhJiY4yINgxDs/NcWqhgrMVRguZ8nramZoYW5zh67hQ3dXRx6/p1uMRRNjEi= yyMyMfhERCFhDA4y7shpjLIYIeMAbxmXmhprdCz5kARG40kHNzYRmNhxLVcmO5hIXoKNiAxAJdQ= 4TjKmKwRIERkswGFFjYOIo4zi3ERpQ7QJwfEIbsh4dE3cRRRRe9I3mquTMxgvQWd9PXmlcWPdox= aJiI5i/WiTbl0wzvtjKGkJhYwy91b6caFGKoVZifQW72uH/7o3oxBCfNh5+1tc1lq2bdtGT08P1= WoVIQSpVArXjQTQHR0dfOlLX1o1NnieR0dHBw8++CCO4+A4Dp/61Kd4/PHHcRwHz4vasb/4i7/I= Zz7zmR8yGPze7/0eQghc16WxsZHbb7999XmsOET379/P9u3bqVarSCnJZDK4rovWmi9/+cu0tLT= wB3/wB6RSKRzHIZ1ORzqHG2JKuru7+dJv/w6lmL+XzqRxPSdy7YWaoXeO4lQq0e5h9UBEnWCLjT= 8oBVZYhI2zcnI5sh3tlE6cXJG/vD/nj3mbWEEitAwdfoPOe+6m+e47IT4e0RNc+Vd8oOv27+0Sq= y919b++76OUh7Ehe/ffREN9K6VKldNnz5HP5kilUgwMDiIV3LJvJ++dvEBPdydrO1pxlOLo8XOU= litsWNvGli1d1HxBuaY5+t5xDJZ7794HgaFW1bx+/CLrOzvZu3M9QbXGpWsz9I/PkExluPeubVw= 728fA2CJeMsV99+ymf2iagWvXueXWvVy+1sfEYgltNJmMw8E9O0h6KZRwef2td0gXEjx6aC+Ls4= v4gebo8VPcemAXmUKe5ZLm6vleWhqz9GzooFiqcrVvnJGJIR649x6CchGDz9vHztLQWM/Ne3fjV= yRDg4MMDA1wxx0HqPlljhw7R1dbG9XKEkVTY/uWDazr6KRc8VlYWub8ufPcvG8/uUKeYqnKyVNn= qQUhoTHU57O0d3Ry5eolNm/ZwPZtHbz80jskPY91nZ2cO3eF3bt2kS8k8DIOI1NLXD53lYSS3HH= wIFoJRqYmOX/pCnt272JmcpJi2XDPvfdy+OUfUKtUkcaSdh0OHboT3/eZnJzg2tXL7Ni+hYamJh= KJNKPj05w5d45MGu4+dAeVakC5WOXUqctUqzWU49HV1cGW7rW0NdUzNb3A2bPnQAjWdK7l5Jnzt= DevwXVdJsfHuPXATWQyWYIw5J1jxwmqfiTa/iltzSNYu421YFGMA8IB64CIC2Dj48qQsDjN0CvP= 0jzWT7ZnM7qhBVmrUe67zvSFE6Src0itkcPLwX6FAAAgAElEQVTXqL7rUS1XUbOjjD8/iBgcJNG= zA5FthzAknOpl+eI7qJGrZIMKpcELjBQrFPqukuzZgk272KUJFq6fYfnSe+T9EjYMo2LtJ13CYh= 3LwOgkT3/rWZYqVdqaClirMVqwd8NW2m+7lbq8gzYGGwv9Qy1IuApsiHQiYodvonRpZeOxa3zvr= MWuTWEjM0QgQDgCYaPNrzYSISRKeaudOIDQrGAO466ghYVqkSv9/ewpVyPtadQOixSi8TVjWamK= QoxwuTo3zzPfeZ7Zckgi4WJ0CS9b4J77H6ZqLFdGJ1mfr0cLhbQqBroTUV6kxQpNJEQAVzqRaUB= GrmIfSxgj72w8DrTWYKWK9LHW4ikZG59CrJQRxVQIhLV4wiKMxlondvxG5i/XScR8E4GjXNTKmJ= c4esUawhhV5RAFf6McrJRUiTp3DiIOCI4+p2Scy+mHAW8ff49MYwstN+9FyIhn6luoEZ0jDxUBW= eKkXhNntqzYS7SNNnQ6Pi+eiM3W8SjafGDAb7Q+LN7+ltaNDNBkMkkymfxPfkZKied5q0UZsaEh= lXr/xrFSxN24XNf9IRcrcfbbykqn0x/4vNLp9F/7/aNHj3LgwIFIGxOG+L5PsVgkm82SzWZXXaZ= CCBLJJF4quRq3oOPgUrtYZuitYzg26kSsYkji3YOIOwrRii5ZIy1uNkO2o40x1yE04eoOhNURS+= S6ExZYWOLM1/6MO9euJb2hO77xxZq3n6F67cYlCOL8OxHb8iOGpbUBCUfQtaaDH7xxhLIf4OuQt= Z2dNDc2MjQ0RCIh2LVtLSdOnaO1qYHBK2dobu/kwIG9vHfiFJ/9zGN8+emvs1is8LGPP8LG2TZ6= B2bZsn4j3/r21/nU5z/D8SsDNBZSlJcXOXbqKqVKBPLubGrm5h276MrV8bW/fBXHkbQ1tXHn7bv= 43/+3AbZu3cTYxBzj8+UoOsZoujpa+d7h13nsoftYU58nTCbZt2c3/+O//p8x5LBhkj3bN/H2u+= 9y4coYpia5dW83tWqZt4+dJaiC40BXWzPPP/cWjz/xKOcvDNBUaARtOHrsKDUt0dqyY+tWlkqLn= Dt3hc6WemamK3hOmo8+/gBP/9/PUKwa/DDEUR6da1o5fuJdxhaWqdYMgRFIzyWfTNDT2Up/7wW6= 161he3c3Y1vHmZlZYPPaVi5cvMbadZ2889abVI3hN3/jH/PV+UUmJ2cJhM/JExcpBhqlEmgNn/3= 0Jzhx8giLsxPU/IBQRH9fuB6phODtYyfwq5qEk+Tmg7v4xjeew1Eu/+Sf/hKDg30kpU9bXSN/+c= LLPPXJTzAwMMn41DLaVBkeKVJdnGPrp/4h333hbcrVMhvWtrJ5/TrOn75MazaHm08zOTHEzm09v= PDia0zNL1KphRF4W8dmJWvfB7b+Hb1pfihu4kbttbVACqs8QmnAVkmbKl6tiDm7zPSZN9FWRA5J= LKmwRiLWweqBCyyMXKVmIWUg6yaYP/4KvPcabhhpjnwdkJYaT5djtmwFf/oS5dmrLB2NRn/aahJ= SUKiVSEgwVsYZgD/ZsnFqWKA8yDVzx74NfOzAblIqchcklEPaVVhrmC0V6Z+aIpXJ0d3ehsXiGJ= /lis+SVlTCEAvUZ/PoWg0lDNMLc1QTLg1NrTRIxcT4BEvlIm1tLTRkskhrcSQsVWtMzc8hNLQ1N= UbsYsdjYm4RL5VmanEx6mJLg5RRV3C+4lMKA1qzHkk0pVrAUsknn0uSdCOTQxXLXxw5zpW5JX7n= l3+ZrkKWyek+vvbK93np2Lvsu+VWpEygjWB4Zp5y2aepoZHmZNT10hjKJmBgapZaYGlraKYpnUJ= gWagWKVlJqRohAvOpJDKskUgKRsenMMKjq7MLTwksISEh88UyI7OL2ESCxoZG6lxFWkUjzchMrt= A2pOLXGJ6eZcHXdLW10JxK4sY1aSX0GZ2do+SHNDW30JT0UEowtriI9JJMzc+Rdl1yriKtFLlMG= oOhVC1TrZVw0zn2791POt9AzosaKvM1S9/4CFq6dLS1Ue96JKSDFJEkZXRhHqykpaGBdMJBCYtG= Mb2wyOjMFPX5Al1NLXhy1evxY8emHxZvf0vrRuD8B8Hhf5IJ9X8OaP5vuqSUtLW18ZWvfIXDhw/= jOE6kpwLa2tr47Gc/y8c+9jFSqVQ831+BdxMXYQJCzdTZi9RGxojKyh/NK1tJ4BexNikWLXsuMu= FS6FhDui6Ptxw5KkWsEhGxuNtWfIS1KKOpnDrPpT/7Frt/9b/Baap/Pz5/1bnzY2Os/96t6GnKm= CcaKVyUjI6TMQGuZ9i3bzdjUzP09g+AMbjKwZoQBxFrVAxpz+GmXTtJ1mV55+QVsqkEk2NFFhaX= qYaGwcFeNnZ30d8/S8oTtLU0gnAIahWUybBhXTdLVYcLl3oJqj4b2ls48fbbHNi7m5SrCE1AeWm= eV168xI6tG3CFRmFQItJUJTxFOiW47eAuEp5gYWmefNIhlRTs27+f06cH8cMS6VSSLZs3YL16zr= 93CUdq2to72LVDc+7kBRypqc+lOHjTTqTR6GoVEYasXdPMzu2bOX+1j9AIhPa5eO48tx/Yz+zkB= J4wpOsbOXv6ShR8jYeWAmk1TkKxY8dm1MgE/b1jhIGJbfs+SlmM1SgrOXXqLN3d3ZSWz+MquepK= rflVlqohLzz3PC0NdUxPT9HS0sCOHZu5NjDMxOQMvZevML2jiz3bN/D0H30Ta/NYIo1OaELWtDW= ya88Weq+Nsba5jbnZBSoVDQRcu9pPZ1srM2MDrGlq4O6DeygvFykuzkVFj1RYG6K1j8VQCw3aGo= QK6Fpbx+237aW9qZ6+8ck4qd+yddtmkqNTXLk+gNYruriY2BF3Dm4QoP3/ula076sl0erfjSNbp= AJXEugaCWtJGIEbGDxtEK5LtVxDugrhOGgTjf8UGhOWSEkHYx0IDI60WN8nGWddBMJDWRlFMCFx= bYgTa4q0kGgdaZ6UjUb7hIYAseot/EmXEk4Uc+Io3HSaQjqLF2cyKkJCU+XopWuc7O1nYnYKL51= l7boe7jtwE02Bz9sXT3NseBakw6Y1a+hs6+Dq5ctYXWGuNMuMDWnt7KE5lWN0YIjlhUna2tq488= BdrG9qpjg/z/Gz57g8OoQG1re3csfe3TTU1fPdkyco1gTzUzNs27KWjs4cUoKva1wan2RkZIhHb= t5FVzrJqaFxLgxOc//eTWxoyiGMRkhDubyAl03g5LMEQtHR2MlH77yXa/MlUmGArVU4fvUyvaND= zM+XqM/X8bGP3EFrrkDFWl47coyBkTHKITQ1reGOHZvZ2NbEO9eucGpkHL8i6G5bS1tzHVevnCW= d85iYmKRWNWzfuJWP3HKAtCMYGB7l9MXTTJWKlJRHV2c3d2/bQne+gDKRSQ7hs1he4jvvnqRvap= og1LQ2reGmHTvY3tlBrbzEu5cvcrp/iDCMxr8fObCPxqZGnnnrDayTYmlqma3r1tOYkoTlInfde= SdKGC71X2JydpL1W3ZzYmCY1jZDW66DiakRXjpzkZH5WRwbsKa1nVv23UR3YyOl+VneOXuGS5MT= hNalu62Fe/btpLGQ58S167x36TJLMyPUFRpZ27WNe/btoUm970D+oPVhVMjf0lop2n40bPe/9Ot= v+3cRF5Ff/OIXaWho4MKFC5w5c4aLFy9y8eJFDh8+zJe+9CVee+21952smBtQSJEJQQQBl57/Lo= lahGCKstiiZr2+IUTWCouVkYXbIsFLIB2XRGMjoQC/qjHlKn61il8JqVVrBL6PtTbGLWncUpmBF= 16i94UXsaVyjJOKgn+jUI2fMdmmdaMvVLR/sgJtIjs5MbVgeGyAmZlJbFDDlQJHRs50z3GxOhLC= hn5AqVSiY00HczOzCGvJZRIRMkdGgtnQryGFibLQrOCZr3+LsFZDWYfZqRnGhnoxYQXXqbF3z2Y= ee/gBNm/somfdehLKQdiQvuvX2NC9lmw6idUB0oQkXIlfK6ODkHQqzUKxhh8LpGu+z9BgLyYo4y= qDDnwmpsYZHh2MHHcoFufnGBvtR4oqwmr8ao3udZsYGR7Gr5URhCzOzzE1PoauVbC6hhSWK5eu0= tO9nvr6HEoaCAW5dBIlNb6uIqVBiChsZXRshJmZcYKwiusJBAGh8dHWrEZwzC35LCyXuOvu2zCO= wCqFkKBUJK533SRhoAmDgHJxibHhXiqlWRKuQRKyaUM3lVJAws1EYyI3GeXKCcHi0gJDw4OUKyW= WSiWUk0BbhZIurpQEZR9HKSrlMrcfPEhf/wAmrEWxD6GNhd4G4cQhwYQIxzI7P8XwWB8T0+Noaz= BGIySMjY0xMzMdA7g/4NL7O2q+rXjkrHj/a1WgFM+GTIwrM8YilEOgQ6QjCTFINzaV6CgKJ5Q2o= nYoC1JjpcHEmiwlDFaGhMqihSIUDsJNRHcjbWK5ekS/MMKN7ACx1CISwRMxZX/C13pj5EPVhowt= zHNpeJQrIyNcHRumWF2if7yPb7zxOvOJBHtv2sfa7i6effcEr56/QEkHXJ0c5cTYMOmWZtrXtDG= 5tMCxvqsshAEbN2+joa2J777xMm8NXKO5ex3bd+ziQu91Dp85zVilyvfPnufUQD9NPT00bFjP2/= 2XeKfvHFNBhWNDgxwbHqKtq5XOrk6k5+HbACM1y2GVEwPXuTw6wkIYcrS/nyulCr7jRGYzq/CE4= tBNuzHleb754gu8eORdBqaKbFu3iY/u20uHMuAXKYcB9Ws66NyyjiOXT3BsdJBxa3j+0kVeOHGa= jnUb6Ny0ievlBV46dZzpapELExOcGh0nUZ9nTUcTM0GZ1y+dZ94KNu7YxbpNXbz41qu8fa2fsZr= PyYFRpioBG7btJNvaweuXrnJ5fAbfxm5UYxEi4NzVs3zn3SO0bNjA+q2bGC4u8PK5K4zpgCPXzv= Dm9Qt47W10btnItYkhDp86zoQf8NqVK5wZn6Cru4P2ziaqwuedC2fpX15i0q/wbu8VRhfnqSjBy= cFhzk/NMqd9vvODw1yZnmXz9l1s3biR3qHrvHLyJEPlMq+dPcPZ4SGau3to6l7H0etXONV7jZHi= PP/h+6+xmEmxY+8+cm0t/NXxU1yeWY6jT378R9uHnbefo3VjF6+9vZ277rqLnp4eHnroIdrb21l= eXub555/n8OHDvPLKK9x3331R9+1HbsTSWqrjk0wePUlm5ab3I52vG/twq1mhApyEh3AViYYCIp= smmJjDxUSBqtbEt1kASbgy6kHgzBS58PR/IJMt0P7Ew1gvsToOMvLHawP+/i17wwGLxr9CSqSMH= U6hIZWJAkZLpQqzc/Pcc+gjTMxM0dHVzOjEYqQHEYpzl6+jsgXa1nQxMjiClT7799/E0OQE6zdu= 5ehb72CkpRbC1b5RlrSDMRKLi5fK09TcjHBLhEGRWuDzr/7N/8XOrRvo7Ozi+sAExiaZm6vS2z/= Otsd2ImUKSwK/psmns/i+w/e+/w4PPvoomUITFhfluOTzBVJuiuHhYXwdMD27xPjYAooEfiDJ1G= XI5DOY0GdpcYFSWfPKiy/x2BMP4p64BFLhpdJksjmahcvM9DihtQRa8vLh7/OFz/0D/uTaNYpLS= 3R0tbN7706mlzXGhIwNDxAaTSqbpclCpTzNcrmKcAzScbFKEugAgSCUHm8eeYdt2z7DzHyAdcAQ= sr6nk3VeitvvuoM//eq3cFN5pCOpq6tHpVIMj45x68EDvH3kBMViiSc+9hj/8duvUNM1IEJxLS3= 5jI3NEQYS/Cluz+5l2/ZN6MCnqamF6fkiCWWZXyrzzeee4YmH7+PUxetUSpFLU8eFru8btLFIma= FSTlCtZBgZWiSXakCl06A8Qg35QoEQh0p1HG2DSO/0d9Vq+5G1SvJcFXbG17zQq0GzyoDUEik8t= PAI3GhUqmwYoaasxbU6dqzHHX/hREYUEQuQTNSxt8ZBiCiaRceTYilUnEEYOxqxCBmxcq20+CIy= B4iYb/mTHqfIyBBi0Ph+wJWBfhKVRVwgk/R4cN8OLl6+jLIu9x+8lS11BUIsfbMVjh87xv3dj6K= 8FJvXbeTxO+6gFXj7ylXcQh37du9jX3c3GytTvHfsOLu7N3PvvptJ1qoM9vUyPjHN2NIixwd6ye= ZzNK9dT0iAO3yF3skJtmwKqYg023ft5uO3bSMhLZcnr6AdwHFoyefJZxMMjA7QXpdjdH6W9k3bS= ebSWCEIY6rF/p7t6Afhcu8IZ0+d4uKFs/T09HDz3n1UpMBNeNy2bTv37LsZnyqXTx1nZHKWjZss= 3zlyhEJTE4X2TjLSUhcuMXr9ClOlZYybYNOWrTxy2x10egnevnadVDrLIwfuoCObwQ8XGOvt5dT= lS+zc0s2OLZuo2S7KCPJOmuDSAJMLRcrGkpSChIhc/NZaquUyyVSWDRs2sKFnC0sLJRZLS5zpv4= rvGJo6m0k5KQprOzjVf509t92FTBbYs3sfj+/fScZqRrwa77mWs4N9NLQ001eF2zaspy6dxRpJo= BKMlEuc7r3OE5/9ZfZ3bySrNVtbOxhdKrO4MM/xgeukm5sorO0EHZIaSNE3Nkbnum5sTUOgaVq7= ls31LeQbBqhLriQr2B/bDP6wePs5XEEQ8Ou//uuEYcjTTz9NW1vbKv7q4x//OE899RRLS0ur8SO= rwYMy3jQHPoOvv0licXHVLv5Bt70bd/kWUJ6LUIpEPo9bV0dVDEdp1FiksavUqBUOnTQm0hGhEb= PjnPjDP2S/hY6H70Nkkn9t4fj3folglUMQfy4RhiGOm0QIlzNnL9HU2I5JhUgvxfjMPK+9eQTlJ= hmfXuT6tV4qvuVS7wilZc0bR09SaOig6Fv+9Bsv0dbaQiKb5wfHTjE6Oo22hsNvHqWsE4TCAWkY= HJ/CTacRThIvDbXlKs+99D0WS5ozl4epXwPVQHPy7DVKgce7p66yVDFMzpYIrYdUgoofcOTEBeY= rlh+8fRwpXBbny/zFX7yM5xXAuhgUr71xioHRmcgBZwUXLg/QsFCPlykgSmV84/D9t95jcr7G99= 48QQ2P4clZ8r0jqGQWR0tqRvHyD45S0ZLekUm+8ZcvMFcKKRVD/uxb36G5tYVkIkmxuITWgtNnL= lPIZ0l5GVxnCUmIsJr5hTJnz1zBaI9zF3opaSgWLd/69mEc18OvGU6fvkxrcwE/lHz9m99lfHYB= 4Uh6h6bxkhk85RHaSfqGppgavYZQLiXjACGuo9BhSK1W48y5y7HLTFKtBRx+5VVy9a0IR/Hnz32= XhWKFpAdvvnuaydk5Xn3zOBoV6cWcyFVcrcAbb5wk1KBDw+JiyNGjF7HaY2R0EpJJAt/hzTfPks= 15pJNJXM+FahC9p2O34t/9ujFRO75JyBvzsgTCKpSJEEOhlYQqirdQWq/+aBT0oKNcL6GirZ0Q8= fYnjAgDNs47s5FYSNgoEc2isTISytuVzDEbrE4FQiRIFYVZCx1nSf5kr9USdfgSrsva1hZu2b4Z= AXjKIZ1Ls7S8TGtTKw2uSzYOCtra3smrF87gmxBCKMgEdUCayCLteglSyiEL1Buo8w2NJEgDaSx= eGIVXL4U+036Z5XnNe++dxpgytlKl0NwC0kU5WfLpAikBKUKkDQkshCg6Czk2tjUyNT7GqYFBfG= NYW58m7QhCbVAqypZTIsGtO/axb/0WesfGuDQ5yjvXrzHuJNi+bSMikaQgHRqtJRCGnNFUSjV8C= 5NLiwgsR0+ewuoaJb3Emvq6OBYHUm6COsclD0g/ION4FISijuicdNbVcWp2mQDLxMwU5y6cJtvW= Si2Rx69UCYwgAEIBbnxyd2zZxeP3wYVz5zl7+iz1mTx33Xo72q+xWCkzW1rm4oUzEApqpQq5fC5= ybweW5myBDJATIe2FDF3tLVweHqROJqgmm+no2ETGgmsjyctcLaRoDF2tTdHjlGJPVzcbreHk2C= Az1RJ6ylA9eQo3rEGlQq5pDXXJLE8+8ijvXbrI8y+9ANJl24Yd1G/bHF/fP57n/WHx9nO4pqene= eWVV/j93/992tvbVzmqxOzSHTt2RDEHrhvfKOMCzkRp1cHsDL2vvw5+dSUq9wMLuBj+FEVdCHCS= CYQjcTJZEo0NVFScBSeIRiHCYEWELbHJBEGcCC+Idswslzn+R1+lag0bH78flUq/j4r6WVkiAOt= E3YP4yCUTaaqBxnMdBgbGGOibIlSRI0pal3MXL4OMRk1WSFAuY5OzuBLKy2Xml4epacv43CLTU9= P4notvLEnpYU2JK32DBDYRx40YZhbmmX1vHuEoqjqIAM7a4OKyWA6Y7etDKUXv8BC4CcphjfdOn= 8PaTKRD0jUcJRgcHSfEZXRsAkyAkA5HjlyKgmTDqKo+f3lsFZMmCBkcnmBwaoayrZJ0NKEvGByZ= xJLgSt8YoZR4Nc2xE6ewysVYibaCS9cGsUikVZy92IcUFmkMw+MTjE7OYXDRQRVXQX//UGTGsQF= aJ1BSYU2AH1jGRqcBh6GxSbSUKJFkYGgBhEQhGB4dZ2h4AiEcAl1DeElCbTl3qQ8TaHAktRAGRi= YwtQDHE5w+dxGrDbU4wsXiMzo2ihYChEdNh0xNFhken0cogZIWbT3KWnF9cAQpDNcGh6NAUQuBC= LAIghB6e/sJMSQ8xfzCEsuLZRxXUKwsElTLaO1x9dogjqxipKGmBVpEqfZC/pSVMZb3mbWG+CPH= xeJihIqKKhPiGYOyYtW8ZEQELFM2jNyDcayOFjGmKe7Suya+t8TBy64lAopTA6Hjx0SbCGkk0oC= yEdFWx5EYVoRxN/AnLd5EhH0CEgrWNzVyS8+GVU2SS4lUOsH8UpGyidDmEphcmsXNpEnKJMJE0g= ne39YhjUXZOCfOGKTVSPU+S9WVCuMkCEWUQrCtdQ137dyLazVKaHLZDCqVJvTLCBuSBJKAYyTSK= ISV1LkemxobuXztOhfPXmdz+3o2NzaSsgYpfYQIWfY1/+7Z17jt4O3ctK6VPZt6WLe2mWUUb48t= k1trCaQXBxPHRAFbJakiqUc2maStsZ6HbtlPwmiEtNQlXTLpBAmhCIVHBH0DITUhASEWH4mLQ7V= awXMzTC4VeeNSPz0N7dyxYw/TVnD56gCBCPFXzkQYcV+lcLn94B1snZmjOj/HkcvX+Kt33+O+u3= bjKUVPaye37TlIAYlnDdZLkk6lIh2kDuPzIEmnC6xf183J46dZCJO0FurobKzHrSwgiQJ4HUfiK= pdipYZJR5luk0vzjBar1KQkmUywvr2LO3fuJWUMSSzZTI5UIsX6dT00NzYQzE4xVJznz4+coaF5= DR/t6fr/7Ed8qHn7OVzpdJpMJkNvb+8qo3RlpHr16lXOnz/PAw88EEWcRKyEaOwQg5GnT5/D7x1= EGf1DyI8PXHZFTyLxUklwHWQ6Ra6jAyedRCRchOchki4q4WFSKdIH97H1t/4p237ni2z7nf+Wbb= /zW2z/nd9m1z/7Irv/q08j6vOEoYnzgX7WVG9y1VkbLYEf1JBSYK1h/fp1JJIeEsPBW/ZRKGRQW= LrXrsV1o3yvvXt24zgSbQyH7rqTbMpBxiOgu2+/mYSjoiBIo7n95j14yQRIiSsFu7ZvpLW1gBKW= LT2baG1qAq3Y2LONdDZDS1s7Dz74ER5+6G4eevAQe/ftRDma/TdvJ5mwONLnzjv28dCDd7J7z1Y= QGtfRPHT/ndx3zz0kUzl8IwmFQitJgIPVDio07Nm+nqam+qjTKCRdazq45eabo6PiSNZ2rUMJyY= aeHh584H7uuuN2splkpOMSUYimsRZrozFZZ1cTDz/0ALt378KaEE/Buq5OHnroYQ7dey/ZdBJHC= oTRNNVlOHTvIR586H5a1jQhPNi1bR35XBorEkjhcPuBPTQ05tFSYrVl9+7N5LJJrDExiDsFJomj= kmgdkEwk2bN7Jw/cf4iu9k6kULhKcsv+3TzyyAPcd//dJFMOjlJs2rQFrENTQxP3HbqbRx65l7X= r1uG6DjfdtJMtm3vAGLo6mmmo93ClQamQfTdt49EnHuDggb24niBfn+be+2/j/gfvpqOrBSF9Gp= uz3PfAR7j11ltxXRW51ZRahYbD353T9IcvdRmNN+Ng1CgXzYnQSCKKwYiCuUM8W8O1AYIwLroEo= ZBoCVoKtIxUtdJGmVyOiYw7CI2RGi1iKobVKKvj36MjNBwSrEJaiWMEjo4wfKsid8xPTA0TCKRI= 4FqFGwSkdUjeQN5EXbQUgs3dPczOTHK6r5+yMQwVZ3j72BG2bdlCUiRIykQUzL8COQhDEqHGjTc= 9KxMQa2KutY0IPFYbGrNZugoFylNzNCTTbOnsYmliisWxEZI6IKFrJFXUGRSBxdWStPVwQ0sKy8= bmZlKZPNemF2hpbaIzlyEjLK4wKAwpx2OxuMwzz/4lw4tLBEBxeYnxviHqXJdCUiGMjjaWRGxRM= MjAJ2ctuzrXUBwbIZtKsb6jC+EL+i9cJuH7iHIVGepV2YvrCJaWFuidmaBsFZdnpjnf28/m9esw= Qcj8wjLJZJqullaWpqdYmBlHiQgFGE2BJEK4vPba6zz37HOs7+xg18Ye6vMZ5ktFsvkC3S1rWJ6= YJRHA9o61iOUlRq9dQgUBolwho5y4qyVRKsGahlZcv8by0CDbW5qpV5KElHhW49mQjkyO9oYG3v= jBG/jAbK3GX731Om+fPkVDLkdXoZ7q9DwNiQwbO7uYHZ9mbmycmZFRvvonX2VhociujZvZvG495= VqNYq0Wpwh+iMf6cP3IKhQK/PZv/zZPP/002WyWQ4cO4XkeFy9e5MUXX+Shhx7iwIEDqx25iG4Q= NXL14jJDrx9Bzi8htV2FuP31Ld4VL2j8HQGpbAYchZQu2eaWCEAcUxZEnFhNxxp2/6MvkL9pL0p= 6sQf1hsRMG4VTCuVEmUQ/Q003AEwifl86K2lMOI5CmxCpLNu29TA9PUlaWB76yB3MjU1AtcyurT= 1MjPejHMkDdx+k7+JZUoUsjzEeKHwAABy9SURBVD90N8XZCc5fG2Lr9s187KFbOXflKrWgQnMhy= ed+4XGWFr/JhcsjuAJu2rGRjgfv4v/5d3/CXQd3c+S9kyzPL3PT7t2cqC4xOzvH4vQ4jz56H6++= +gNKi2U8aXng0J0MXRlFS8v69iYmxobwi8t4Eu65+yB1hQQjwwskkpLlWoiXzFCplVHK4hiJh+H= eu29iaGCa5w//gFLgs2PTOu6+8y4mhkepVCps27yB0dF+Nq5twdVV6lIe/+SXP8+//6NnmF2u4K= iIMqGtIO26PPWpx/n+qz/AS9bhepamQpb777+Lt468S2tbO5//3JP88Ve+QTKZ4guf/xRvHTtPe= blES1uBiYU+Dty8kVL5DAuLFerySZ566n6effE1Xn/jFGjL3bfup3j4VZYXfRw8dBCl9TpuBBxf= 39nMwZu2cPzEZXKZBI6S7N65lZ07t/D660dZ272OVCqF9SR79uzkat8wbc11bOxq5tzFAUStgjA= +D9x3O7oS8qcTU2zoamZ2KeTKwgL3338bjW3NPP/yW2zt3oTjKJqb89TXJxiZWMCv+XgePP7Re+= m9cj0KWhUCGUcAKaX46YS9xdQAYTE3dMWlZbWLbuNRl1TiR7YyBmlDjDQYaQmIoezWQxkXaUR03= xBRMK2RgpqKu/yhwEUSWg8josR9rIMykTFBxbWsFQKsGyHmjEXa/5KPQonAxbOKfCjIBAGuCAhC= ouwxpdi2dgMfva3Ksy9/l5effQYtYM+uW/nkbbfh+TVU1SeFQxJwgWSoyYUaLyZRWSNwhYMXaBz= ACIErBdlahS3ZHPV79/OdVw/zr778bxGOojGX5qmH7yWjBAV8kkE5+j3KxdOWnB/ShkvBCvJ19f= S0d3CtJOhubiAldMz0dRDWIYni1z75OP/x+ef5H/6X/wnjuVhH0t66nicP7seYZfqDJRwRmUuU8= EjJJBlfUwD+8Uce4Ot/8XX+9f/xv5LIFMgkPB47sA/PS5JD4ASWhI6zOquanErw4ssv8tWJCQLX= obtrAw/cso8UlunNXbz06vO88vpLJOobELUaqlghEYR4noPQGqTllltv4dWvfZUv/st/jrIO6Vw= Dh+6+j42OR9vuWyjOlXn6a18jpTzSQvLEww+TUw5NyiNZi7qUylosPq11Wbat7WBkYo4dbfV4WE= ra4IU+ddUSTULyi5/4JH/4jW/w6//yX4B06O7o5NMPP8G6XB2f2HuAv3j1Vf7Nl/9PpHJoymb5p= cceZeOaJjataeCZb36Vp4MiVjlsWbOJBzasI3Wjs+gDPt8+LN5+DpcQgl/5lV9h8+bN/PEf/zFv= vfUWjuOwceNGfvd3f5c9e/b8UI6cjUHz6JDlawPMHj+N4/uxLHmVMhp9RsSGBm7cN6wUfghSuWz= 0OKHIt7RGHb8gQFiFxVLNZtjxxOPU7dyBSGXj0s+uJprbGG9k47BEYSK+5c/S1HRFybOyBGBNJL= Q1OiCTUuzauRWrA3IpiassJqjhEoHYtRUoE+IKQ7VSYnl+hocfPETfwFd4+NBtTI1P4gCO9rn15= ls4d/osO7Z203t9EKEli3MzeI5hz64tKFuLBOJGg/UR1qdaK3L14jkO3XEzVy9fZ2q+RjobpUYK= YxHagB8QlqsszC2iQ0O1GuC1WCbG+1henkdJl8CvoKTFWAsioH1NA2Ojw+zZvYtXvvcaKeViapr= nvv1dbj+whzfefgsVa9McYLD/Gtf7B8kkPQ7eso/nX30zwuvoAEe6YALKS0s01uU5evIsOqixae= NWrl29yJUrl7ja20dbc4rGpgJJ16P3ynmOn3gXYVR0TbsCV0ocK3AU7Nq2gWNH36W5qR6rfSQOy= gY4VuMKMGGAEAopY2C9DVfxR7pWpr+/DykcNm/q4eUXX2JsosjQ8BiBkSS8JEoZjK1FOX+1Cv7y= ItMz00gMhD59fWNsXtdJUhgcIOM5bFy3jq98/RmWfY9j48exUiKVJgzKFIslSsUAjEOtUiOVSnL= q9HmCIATh/tSDq6N3rVnxzMZdfBONNW00EhSxC12LKMRU2mhEuBJlauIIoZWoIhU/LrRgpMDaiG= UZwUGjCa3WEQQ+4iBrhJWRo9QaEAYtIq1S1LKXIMIb7LA/2etESNa1tfCbv/gZ8koijMYRK5xLR= drL8cgtt3Lzrv0M1pbIe1kaEknqPI98IsmTjz3KIhB5ZEMO7trKrq1bSMX5ni2FFv7Fb/xzHC9B= BsBz+K9/4SlqVpIRgjWdXaz/zBcY9X2qQMF1aE94JKXhtz7/FMrxwAqEFGzu2sh//5v/jKSTxkW= wZF2kdNm4ppXOhjpcIXCVi4hsIyigsy7HL33qozzqCyZjt3arcmlJJIAc2z7xJBnHi4eNDr/6hX= +ElAlSjkMym+TXf+HzDAaWIpK8FLR5LjlH8A8fuJ+ycKhzY8yUlHiux+c+8SSpZJIlIWh1XNoSC= Ryj+cSdB7njpr0sGEvCTeAAda5LnetGemwnOvetTW186Vd/jblQUzKWRjdJIZGkgKKtsZ0vPPEp= 7n8ooApkhaA5mSTlOPx3v/ZLOI4Xd/EEjlA0pDI8ed8jaGPIJBwcDIVsPb/x+c9glUuj69DauoY= v/cqvMaprhLi0Og5tySQpoK5zLV2f+wLDfoUagjrXoyPhkVOCJx98gEOH7qHXX6LJzdPqujS5Lo= 61GK2RzgeXaB8Wbz9nSwixSlt47LHHePjhh6nVIodcMplcNS5wY/FlY/bccoWB738ff3yUjLUYK= 1cApjFBIULzipWIEAQyHktEYxCLVyiAchDSkmpvwabTiLmlKCVcaupu3sf6Rx5E5vMrwdRxgahi= NqBYafZFZY/62UsKYRWt8z5qQYcRAsmaCJfU1tKGQJNOJVcF0QhwXY9qsPIxE7FAZ6YmydfVs3v= nFq5ePENTXQEdaJJKsX3LRs6eO82ttx7khedfJbAJrIHXXn+Tjz/xGAkZcUYNAUIYkBBajbEKiY= fWET5KCo0VCmui8OZcLkdraxtTM1XMTIWjx88yMV7gF578GF/95ncZGppFxbExNo7euPOuW5Eqc= hv2bFjLhYv9SCEZGuynrb2ZfMFDSIuUESoqDCPWZ61WxfUSEVwahVIigt77mu/81Yvc+5F7eOrT= m3nmm8+RTaWYm5vHkS6BsZSWi3jKJeklWJqfRwoHbSTKdQl8gyfSKJFAhprtG9rpHRlg2649ZLy= IDYuxWC0wJgJZWyuphQE4BikMI2MTfO/w23zs4x+n6eRx3nj3DKl0gkq5hFSKaqWMm8zGWYoSIQ= xKQT6fp7O9kzPXJqPiJAw5d/Eqn3zgQfr6LzG5NIPnuoS+xhpF4IMnXDQGo0Ny2SStzW309c1TC= wzPPfsCB2/ey6c//ST//itfo1QJkDIam/40irgVD5GyMkZkrbxJY0e5MUhtSOpoNOerKNhby2is= qmxkVpJEQHGEiWJlRAROj/BtAgeJp6P3gxa8DzSyXvSesbW4UIwA40YYAmkiFJOOTBNWhhhp39+= k/g2XiTt5jhC0pFI4sdx8JUnfWicyMzjQmvVozGaREOXAxUcr5SWiAFlCLJqU45JREUhLhxZHSd= xUFk+ACUC6HqlkXBRbIp1XwiGfirBeClAiRAJtqQREEDusBld5OEkHJTXzVvP64BDvXR1g3+Ytd= GTSKDTKqpWk5eiaC0PqkjmSSUlHNPQmgSBBZDZJJ1M4VmEDUMqlPlVAxhpEU/FpTiVJJV2CuLOY= wKJMQMF1yEkXhU8IlESI9lya0mlaM1lcwIaQEGCUQKgknW6Ktastg2hUbvDRykXXJMqBpHTpSmd= o0iFCJVd8/bjW4BpBk5sgl0iuauVWzkUinYqO3YoYyERIrjoFyouQZtJGqsP6VBS27xgfR0pa0h= kayUSPjwASuDIiWOQcxY5UwypgTQIaTd6TZL0sa4j4zS7gWIORkXbvx3nxPtS8/RyulQKOmPCwQ= mGQPypujq8ag8JYTWWgn8FXf4Dyg8h4Ly2hDGL7vyBIuIS5DEFDAd+JqiorDUYKQhG5lpJ1hYjz= gsRtqodMFiMkvrLojnb2fO4p0u2t2Dh/6T8rGP5nqusWGxaEH/8bgog4mGEYlau1muL119/hpZd= fY3q+jJEuWigSmQyZQh0NzWsIEfjaUtOWwAiee+El7rrnEBcvX6aGQropmlramC+WWahoZubm2b= V7N1o4+CZBxYfvvfkWLR0taKkwMopmCVAY6WBlipoWGKkIBdSi7IVYf2QYHBvhrWNHmZmfw7qKd= K6eycki7xw5zk379sawdQdlFRKN53n09GxjcGiS986eZeO2LTjJFIGx1ELL5evXuP+Re+NxmCCw= hmyhjkJTK81ruugdHCIUAkuCmgHhOqhECi3SvHj4NUKrSCTSjI1Ns6FnK+l0gabGNbS2dLC4WKZ= cqrB9225yuTryhToa6hpJemnCIJIG1BUyKKkoVmrMzc1yx20HolBfJ0k6V0c2X4dRXnRTTTgIz0= XjkEjlmF0s88w3nqO9rRMTWOZnptm8pYdEUrJu/RoSSUlgApS0WOMQhoLr/cO88c4ppFJIN0FgE= xSXK7x97D127duPtYrlko/jumzsWU8qIWluakSJBEplGOwf591j71KtlpFSk81lOHXqFMXiEg0N= 9VE476rO7KezbtxTRZ20yAWKkPgqSVnmWVYNLKl6iqoQf+VYdOpZdOpYdupYcutYdgoUnQLLTo4= lN8uim2HBybLk5Fl0Ciy6BUqyQEnlWFYFFp0CS06OJafAslNg2cmz6OZYcPPMe3kWvTyLbp7FRI= 4FL8uim2fJyVFWOZCJH37yP5TW8MHH0sSvzyVAWb1qz5E3PN4Boj4VpLTFs6BifJUjYjOBFavTh= qhbCI4UKBEVMCIAJUFYidA6MiegEdaSkoKshayFlAbXgELimJAE4SrsXtiIahKEVU6ceJc//ZOv= 0lmo4yN7dpMi7obGbl8TdzSFdFBAEkseQ876JIwPRscWlKhz5qr4OVtwtAFjkIkUwigyQJ7o+Xk= WlFAkpMK1IcqGSELqkh6t2RyekGQNJDWkAGlCBAYHQdIKkgGkAkuCEIUfd6EEMpL2Igw4GnLSJW= sgZQwecWBzLFhJWE2GkBQBLhahNUmin9O6hjEGIRQKQSJOPnAiGw0SQcLG50xKjDYk43Ob0dHz9= kTU2JBCkHIdUmgyNhoRSxv9HmEljrHkDGQMJE2Ic4P28cetDztvP6frb0JtEBioFrn453+OHhsl= IaAmoxR4ncog8nlEcyNNmzfStmUTuUKeI//2j9H9/UhhcKLJB1oK0k2Nq4mWiXwBr1BPRUKYTrL= zyU/QuH8POuFGHbboPr96Ef+sJYJ88JJRtptd2T0pwhhMjXSZnK9Q9gWhdhidWKTih4QWrvYO8f= FP/gNqGl57401q2uIqh/HZGgOjC7x+5AzDM1XWzvtUtaaxvp73zlzl1JnzTE8vsXPnbsyZXuaWy= 9RCh76BaS72zlCqGTSCuYVlamHkC61qw/jsEoEVYEN0CJPTRQKjMWha2tby8U9tZrlY49vPPseO= bRvZvW0bvl/iuy+8jK9DlBubSUJLXXsr75w8zxtHT6NUyH33P0gtCJgv+oTSZWB4hrGJMkvFCgC= lquGWO+9jb2g5cfIU13oHQAcI140AG8aSzqZ46PHH8BzD0Og4S6UyS9eXWLNuM08+9WkCbTh69E= 0WlpcpV8tc7BvjqU8/SS0wnD51ioWzs4zOF1mu1cjUF7jQP857Z64zNL7Aww89gnCPsrBc5p5Dh= yjVNC+//CpjEzM4xhL4PkoJ2jvWctcddyCU5LXvf5/QWN45doqPf/RRdu67Gykt3/72cywXK0zM= FtEIaj50rdvMJ9ds5f9t79xe7bqqMP6NMedaa+fk1njaNCZ4IY3aRktFS7G2SakVRAKKIhQKIoj= /g5eXPvggxVf/Bl8F23opUp8UKvpga6mColKKWE1Lb8nea805hg9jzLX3MW1amjTpSccPTs454e= y111r7sr79zTG+8fzZF/CLXz6K/549j3Gq+MPTz+Dwhz6A15Y2v/Enj/wKZ858Ebd/JuHVl17Bw= w8/itVyiRM334ETJ2/Hn556Bn988kncfeoUbtjextkXXsTzz//H8s5qtRBcnwG5jsJ4519J84XH= cxoZ1SdbCoCMad8RvHjjx7Gs54G6AlGBZkWVCqZWLo7Zw7IIEP+yqjgPBvcEEi/v0B2lFS1wYR3= AK/BZpPPoPhso+Vo6gLL9USAd9I1N9ubTllMvEME8HyV71VsbI96czoR1r0Y7FS28OLXuBN5Z15= SIwejmFQZsjkgit2b8Z07dvCBNtHM7lqji0Svc2gEYnNcb67st3HfHKdx9x2mLcWqx4WRHgwQwW= WJf61pO/m+bvNPuMAHzgSb3ACjxhoLn+dip3c67kBMl9/AU9xy/BaeOn0TftjzfPlsHbjshuT2v= Ol/Y3ZiQQYAdevZsKzsOAkDsYaUEJCSwpwAyCHCnEwByGtYPtS+QMKWNR3CTBE68flVteCBEZDN= VN7bFab0F8iYeonZu88Z5vvirlPRyz14KrgmsXqTNuSk4+8QT+PX3vg9+5VUM1x1Cd+wIto9/CN= snbsbB4x9E//7D6A8cRB4GgBXPPvI4fveDh7Dn5ZeRxWbzvrxnwOd/9ENcf89pKBP43Aq/+e6De= O6xx3Dorjtx+sHvoDt6DEjJ3wwxj9aiN8m8udLQJaxFffaBhy54zanaJ/BazaUaR0vf75J1oiYf= Lp27NE9kmKYJTBkpscdKTCBif0PwiBZmlFKREnuavdj9FAsvHYYBy+XKlyqTX/Dt9ikllCLWtaj= iyf1Wj8TJklCJCdM0IqeMjhOIEl569Rz6xRZKrVC1eb3tuFbj0gQ9EUQUKWeUyeY5Dv2AUibLzG= JCTgyoYjWOHo7A9oGhVuSUME0rHNi/gJQRpVYw9XasOSNne/ubptFHv1lB9DDsgUCxXFqpQEoZq= jYuK6eMcZyQfMoCqqBLNmaJUodxEg9xAKRWJFYwK/rO3q2XEwBKKGWFrcVgF3cljOMITtlHb1nd= 1iLbBXeqFdJGWQGYiqDrO5hpIcik6Dp7TLXa8uNUCvqus6aEWjGVgkXfg5lQRDBOFZR6VMFGHA1= 29IXTRazs3/7425f8UlNRVdosEDDxRlqBUoA6AXUEZHR7vdj++TD7Kw7vAXgLyAu/uPNaBZCHAm= +w/q0dYSxiBVcOIqJw3oI3pyqe/ce/cNNXvoTDJ45j/9Gj6K/fRt63hbzYstwvtq5UAkFYcey+u= 3Ds95/Dv3/6c0hZgaogdx0Wh97nnV4C7TMOfeQE/vn0U/j0t76B7siNJhC8I03maAB459q7S8Bd= bjYFHJGPzBIFc2+F3yKYlgXMPP9/FUEtdgEhL9KGi5LR3SEiG+wOVN++LfKklLFaeW2Ud5sQ8bw= PljJhSygi9km6VhN/Mvm+TgVEGbUqpmkEUULuB5RS/dO6OUAgYPIaNqmA5ISqFVLUI0AEq6nM/o= RURa2tcL1DUSBlu5+UOqgK+r7H+XOjFcDnDqXCqlUqsJwmEJPF3LiDW6vg/PkRlBhENs9XlVygZ= kyTIKXOxJ7Y+Zy8C65MEzj1EA+Q7voBZVoBRSAqdl66hXV/dj2WywlEaoJZCSoWSApiVC1YVRv9= xCnZIHY1D4C7HlN1bU8MgWIs/recoAqk1GNVxAqaE0M5YzkJmNWfFxlTqUi5Q934bE5X0roWc1i= SGx3VfR0mBbiAeAHSEejJPyQWt6kYpK/nblwBWus6ebixCzfZmFsdBO8WQrwFF4cAZcatZ74AZD= YLvuvM+/VCXQvyqFaiq4QkBOzbj1u/fj9eeOZpjH/5GzIA3rsHw3UHwa2XjBRbJ2/GbTd8E4c+e= Rs09XOZr0kNRbpqA36uDqoKERMmtVaouIjxpYaUsg0d3xBVQz+gaIGIXcylCqACzn7xEQExueiz= GpaUM6RaL2D25YKpFKu9q9Vr8IoJKSUQZ5xfLtH3vWW05YTlWND3gzUUdNlcMbHtVRFLdGFCKb5= fXjw/DAsslysMg4k8KG3E0hBEbblPXXBYTZAlvoMIRSxQNSsDlMCcUYtaXyKZ8LP6TTbRSwwmBl= hm5w5E4NShVDFXzOtbpiLous6cZxEod6ji9X4bs0FXk0cpIFuQcmaMY0XuBq8TWjt0ObsjmDJKF= eTc23gu7ixwtutm962KmoBpprcKaq0mKlUBZkzV1Chnu2/yUVEixc6zEnImVMFV86sph9IJgneS= 8HqD14WI5iqCRIy0fy90zx7QsLBaBq/lYLSmT0KnllAPIpQuY+9NH8Yn7v8qaP8BTFB02wfR79v= b7gFMjKO3fwq3fPkMtB/ARCDmuZ5ix+fv98C1oA3KJs/oUrNqwJzte+owTRXEHsCrttRZRKDVXJ= 7qjpd4Bl8tYsJFm6PZ3DCrD0qcIKKQarUz7T5bvVSbTStSMQwLc+fYaj+6zsTXYrEF1VaHxCgKU= LLCDlFFzhmtDJuIfGkyW4l39T5Eb2LxxV4zQaxsG6XaciNgIcTMlmMmIj5knC2EleyL2NL5Rc1t= 45TdRWQXgMn2V8xVM7cq+bl2Z1LbPmXLGIO5XpYvaG6RhQVbeHCtAHO2JeY2EYrY3C8/16JA3w+= oVUHJhFtVoFRzldfdiQpV8ckC9riD7NzqXDTDJlY5zW6gUkKxGDyIkC8Xbzy/1qk9QRDsckK8BW= 9Iu+DC66U6YluKIgsCNaHR/s4KiNGG1zMBw4Aj957GDafuRF3sxZ4jN4K2Fp4ZanUk3f4t8LAAM= /m2TfwRMXiufNtRjnpNYrVpZV46Va8nI4YVcacMEUXuenfiGJySTb7wjjCptvxnAswu0uYi2a+l= 1NnN88ruuausLZmKNPfL9sMmb5jzp1qB5m4pUMWE0TgVgBmiasJRzD1kF3BtKTdnd7S8jHy1GpE= 7y/crZQKoZcIRUu7mHkXKDJECQCFSXMerP/8YRTDXqVUpft7sK3e9i7wmAGk+322qSBPLm7834T= NOtrRJLYZCKiCCtFFFrqrglMHs9W1Mfn/qInR9f6vVcha1IAanPJ8PEQGDkJnWU0lcWLKL7PUrw= V517bkgChejJvBE1cbbvQ7X8usoCN4rxLJp8JZ4s3qPduGzX1rER0J/+DBOPvA1PPfnv2P7po9B= u27dFOS3MUPjwu3TBT9cu6hag0D7eT6fZLlnJl7gDQcmpPz67zl7VpMm1hZl2wFsibGd77T+rPa= G5osP/SZiX5L7v79U2fxTqFbbH+iG+OF5Xzdvvm6GsMaHlAiiJsaIPcbZmyVsadgNQ3fIWm6M6v= qYVM1prFotCyzZwPKWLTM/JTeeQ5ZB6Pi+cyYIqmW5Qfy7IqcMiI2Ga5JpPVwdIJ8OorVCyR4bW= 6aG90nq+met1mWI9bB4reID09ddkT5AxHMqCFqtoSPRzvOPjf8jAOo1ce14a607H7p5r4Mg2O1E= t2lw2WhPJaX1RVNUQOdfw19/9jj6gwdw/N67UbOPpSHeIVR2U0HwpXSbBkEQBMGlEOItuGxYrY4= tnanaTEOuAkVFOXcOpIpuay/Eo0B2s/4J8RYEQRBcLUK8BZeN1k3Y8uHW6VK6jrCYJQ+HeAuCIA= iCt0HUvAWXjU0902bJCQGsBCW+WKVVEARBEARvkRBvwWVjh3jzXLLN0TRz6lR4VkEQBEHwtgnxF= lx2aMfPtHM+XxAEQRAEl0TkvAVBEARBEOwiQrwFQRAEQRDsIkK8BUEQBEEQ7CJCvAVBEARBEOwi= QrwFQRAEQRDsIkK8BUEQBEEQ7CJCvAVBEARBEOwiQrwFQRAEQRDsIkK8BUEQBEEQ7CJCvAVBEAR= BEARBEARBEATBO8H/ANzMJxUv6E1HAAAAAElFTkSuQmCC" width=3D"623" height=3D"133"= alt=3D"" style=3D"margin-top:0.45pt; margin-left:-25.8pt; position:absolut= e" /> = &#= xa0; </= span>= <img s= rc=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALoAAAArCAYAAADPNJIXAAA= ABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAHrJJREFUeJztfXt8XFW1/3ftfc= 6ZzEwyz7yavvKYJu1A08LwElAD6kflgle9UpVHEbk/UXwAIqJwwSoK+EBUfFz0Xl4KhVZ+6NULy= oVrfQLCAE3bSaaZpNM2TZommSST58w5e6/fH0lq2k6aoL+PRZrvP/nknL3OWmuftfdZa+219xAW= cAQ2NDUZ0QMHxP58nqavVVoWX5hIOAToYyrcAv4q0DzavO7BAP24sdEj4A4K0n7S+nwWdJZg5DV= gE7FgzTaBnmDgpSKyM47jDK5LJPLHWvYFzA/HvaFvisX8js0xInEhmE9ngkuA2rVWI0RyJ4E7ma= kExKuY4AfgB/MIQL8yDN4yQLT7ynjcPtZ6LODoOG4NfRMg1ZpTGhn4JMBnE7CdmJ5VrLsAqhUCX= gaVE9hLLBwNPkDA2ORf3UlMlSTEMmb9y6xJ8Svj8bFjrdMCZsdxaegPNjZ6JZmfE6BLwbxfaP6m= lmIxgH8BuBqgMgBWAVIGkCUgA+admvgn7NA+kkyBsewfz0ulcsdAnQXMA8axFuDvjYdWrw4KmBs= A+pBWvFmCn9BS3A5gMQAPQEcOfmYGABARAD8DfhAtJ9AZEDqllb663O9fCFJfwxDHWoC/J35+1l= klkqwvg3ApgGtBuo2l2EjACgBeADRl1C8A/GUocWq2l73SGS+SznjR2MSwjzTOY+Zvg3kIgJ+EO= FlI4+c7bX7HJlwoj7WOCyiM48Z1ebCx0Su1caOQ4iPQ/G0Q/CD6DAAwWAOUJc1PKOCO1Lb4jg2A= 3gCI6Bve4MLQ0KQB+/2qzOWyz9myxfleNFockEUXCUG3AFQBYExDr2vb+tL/bFhIQb7mcFwY+m+= amoyegeFzGbhXM7aD8YIQdD0AF4A8AwnN+mOZsezLgWGP4ZS5Qm6tq6TURYrEJ5hQSqybBeOxcR= b7LBgjDvJLi7a//HLuhJNrpKR7iXAaGGO25rPWb3+p5VjrvIBDcVx8at8RDFaCxffAxET4MYFuA= KEEgA3wUw7bH7q0+ZXtl2cy4Npli02pL4PABhaiBER9AGeZyQsh8iRQJ2Av9rvk751gEOMqNwFY= TwpJSwi0Wgo68/3hwMbNvb0LOfbXEOYKRmfO+DzjGs/Rng/7//BnzMVrNppC8hTiexAbAMFKvhn= ENQS+h5muAnGQJtV4yjHwkfXx5m4AQDS2WBDfCHCWIN47ZHDyI/G4c99JJ5UWaTqfma4T4AkS8k= 8jSv1p3OUa9eZR9YEd8a33RU+91iW1AuhflFF0EoDfz6bokiVL3CWmWc7MNDA+3tvT0zNWQHZRU= 1NT5hGiRI6MdDf39IzO0WeF+vZv6dNCz5mLR6H3fgRNLBYzx/r6SvOG4fXYdv+2PXsG50lb6J4R= iUQqAcCyrAOJWRbxChr6kiVL3MUu11VE9BYQmcy8VWv9M0F0EojeCoBYyouTyeQwAESjUUvl8+s= E8C4QBZj5BTkxcad2ua4A0Zkg8jLQAuZREFUys4+F+NrIyMj2rq6usWg0Wsy2fTMznyqIMpp5Jw= OCiJZB6/yEUh/1Oo5HFxV9FUT1YO5WzA+UBAJPjw4OfoiEWMfMQ0z0tDTNe2cquygWKyKbPwdGP= wAQoQYgAeBlm+0Pr483HwCAnzQ2LnE0f5NZv8Jj1ncuST2fnXorZsk4GsigdQT9rwJGj9bO21jI= +1zMd7DEGABcnnhh/8Ox2DVwtBdMlzHwBzrsRa2qqVmupbxGACYDeQCBUElJpb+kpG9nKrUeAJq= amoz9e/asAtHHAUARCe3zldSXlKSlbX+nZffu7lgsZo4OD3+ImN8JoJSBV5hZgrmMmb9uFBVt5X= z+UhC9lZkrQLRtqu+LGajTwE1tbW2vrFqx4mYApwNgaN3OQvigdREBt7W0t28HgFXLly+Cad4Mo= npmvrk1lXpu2sgaGhqqSKnrAJwIoi4F3GoSLWat1zMQAdF+1vq7yfb25wCo2tpavwv48OjQ0Go2= jKxF5LUtK7AyEilzgEtM4BwG3g5gMQEdsO1/a9m9u7upqcno2bfv02A+mYk8YI5POM5XPYZRp4D= PE9AGogZt2/sa6+q+3tzefuBwmy6Ydens7MxZXu+/M7AVzCsc4AdGUdGfvePj/8nM3yKic0ip+6= ZzzYlEwh6dmHjMIboTzD6W8o6yzs7shNYPMnMPmKGJvsZS3g4pr9dEX5fMd/o8nh9GIpGyRCIxZ= jN/hQC3Zi6eavcVBdzKQLnH4zHKOjuzkvlLAPpAVC+1TsTjcYeYtwCoYtu+fnR8/IFEInHIKmWJ= 49QwUTUDzzLEOQB5AR5i5u9DyXM3rl570U9Wxy6SMG8kgaSpct+aNvJNF14oPTk6iwx8nVl9qSL= ke3Fd8593CTVxP8O5gZiuZYjyaV4XxeN94xOj65XG1s3RqHemHCtra89nw/gVa/1wTuubhGXd4g= DXMPPNAlg6NVvJ7r173wQhvs1af98h+ixLeR1L+QkCatg0f9FQU9MQj8edkbGxn2hmyUCZJvoSG= cYtEOIPQsofY3z8dHN4+BEA9xKwVjLfw1LePmHbt4B5m+E4PgBw2fbdYN4N5jJofZe0rM8w0QQL= 8eu6urqlAFBRU9NrA7dBa4uAjauWL688OIksWnTAAe4CkNOO8y2fz7fXXVLynEP0PRAtAvP9iuh= FALqurq7cEuIZLcSQFuKz0uX6Ny3lpx3gqik78pFlPcrAZhBVKiHu8ZSW9gHAli1blGd09Ltg/h= lrvVU4zj2GYZQw0SYBfFNY1p221jcAWDwhZaiQTc+WXtTNzc2jYO5iIttxnNFEIpGPd3WNaSF2s= 9a7APzTykjkuqn23NnZOQ6gF0StyWRyeAvgWJY1BqIxAKNElE0mk8Otra39bW1tL7DWNzDwJgO4= IhqNGqlUKguiPIB8MpkcTiaTw21tbTvBfIvb7c5tAZzt7e17ofUXGHBDyvdGo1GThbjczuUuTO7= evWtKhkNmUaHleoAnJPHTIF41ZVBPGV7rofU7Xn4E7PzeIF4L0EUAXa8N9283Np78hXsjJ5Xp5K= 5VUuofMvjRYUu8eM6WLQ4ArEsk8m1bt76ohboVhE88tPrU2ml+VySTw5dsj9+9LpEYmWHk9STlf= zDzl3d2dLzQ0dExlEgkRlKpVLa1vT3OwCtlZWXe+iVLKkmIuxj4dnLXruZUKnWwzxTwSQBeMowb= Ghoaiqd0nSBmxzCMbGtra7+07U0Asto0zx4rKXEIyIJIK8MYSyaTw+l0ejDnON9SptkOAHmPZ4y= JxkBks8s1smPHjoyt9e1grjCITp4yMieVSnUy0TNMpLVp/mHl4sXh6XsAeomo2cO8Ox6P2/F43H= YxD4M5r4UYTaVSuaamJmkSPUlEe0YnJjbu3LmzL5FIjCSTyeFUKtVLRJ8zHKc8kUjkpRAjYLZNr= Ufifymt4HhX15gGephov+HzDVtAOTNXsONkEonESHt7+17S+jbHcbpfjaEfHUS/JeYrCfjUqtra= q5qamg66QKz10DyeoMdsu4WI/hfABc7UDHM4l7q6unBO6+0zFMa4Uili/i6A9dq23wegL7VnT2I= 2RkzUREwHNIs1BAqDeYSZHsWzS/IAILUe0EzjSusrNecrGHS7JnpbkUe2M/GvARE3HPnIR+JxNf= O5oUjEJCVOAuufC3aanohEXLOIIEmID4N5ZHB4+GeFGiRTqWt7e3tHybLeTsxucpytBZplATwOo= Ilsu7rQcwQRE6CJuWCSobGx0WsYhrFz586CxgAAQgiTiBRr3TXzOgFDmug8IrLg8fxw9bJlQQBI= pVI2M49khZg1/tq/d+8aAGsc4FtTA/QQtLS1/a41nd4yG/0M2ZRk7s9ms0prbYPIRYbxnkgk4gM= gWtrbt3d0dBS0v796wWg4l9usgUcg5Sd69u0789VmcIqLi21m3k9EVdK2pz/zBCDcUFt7Sn1Nzd= kG0W2GYZTOpEun0xNQ6pc8OZvdLhzn4dl43FfdVMREXk28j4nFpIzUYzj8wjpsVgCgtFUKojMhn= D9evG3bwAebX/zpiIFziPUDAEkCTnYM/fAjJ556xoONjQfdkcqyMkGCigGx1xbq0b2zrIxGIpEQ= E72TmSd6CgeUB0FCfICIFLndR5QSLEmlFDG3ErMBIYpn3svn8xSNRi1biBOY2ctKJZakUtMD04R= SJ9bX1p6aGxm51GQ+NxKJmDPpmVmKfN7b0NBQZTB/ioFfkGm2Hi6D1rpLKXU5McfyLtf/qa2t9R= 9Nnxm4johIKrV/nu0Lgoh4+ovd2tHRAeAxJvqcAfxiZSRy+pTBFwzA/2pD7+zsnFDAnQwkAHx1x= YoV9ZbW836eYRhMgAKzM6XApDJAQAjxRhLiTQQU7Mhx5iGt9ZMgMtkw3jYbD1fxuB+MUtJwwIgA= ABP2jGs5iqnyXG1SBOB9GhiYpvPYdi0EvRdQ15Oj1hFTGwv97xLmhgcbG8sBwB4ZKQJwEmmne31= z8+hsFYxSSpOY3YUqCwogPNuNLYDWQCeAiUNuEBWbQpynJiYuJqKrmPlHjhBPbwEcAACzQVqfJo= jeJIjWENERCQgiCrCUlwmtHySiQF6pK6YTDYejraPjaU30RQI+ZghxSSQSKS7U7hAIUTpdRfE3g= jWRNgyDATgTtv1RYr6JiIoIeMQArjphyZJgQRH+FqapVKpLMH+BmZVk/q4iKoOY3yNHRkYMBsoZ= 6CS3e9qfZQbaW1Kpu5Lt7bc7wLX+sbHMTLqmpibDEmIFETFr/RCIPl9fX7+4EA+CtgC2AMSnjYi= AAbcYyQHAFwGSEEEi7F3f3DwKAPfEYqZB5jWasStriMc+sOPlrdLizwqmGwRwtknmfz6w5rR6Ux= uLiFGlhN5zND2VUiMMtBORKzK7ezOpPPA8Ay49MXGEK9fU1CTAvByAAPPMFJqtgA4hRAsc5zOju= dyPUqlU9i+dQONsmve2trffaRPdoB3nf1OplHMIX+YJIvq11roNRKebShUM6KYxPDr6KDM/IYFr= DOAMIjKP1h7MLxARGCjkoh4BAkgzH25IpJXSUqn90/Kn0+mJllTqXi3EexjYTERXKss6MxaLHSH= PX2vo0wJrt9+/UxHdCKJqIrqDtC5U9XeELkKIxQBOZeAnZWVl2QJtdCqV6uwGUFNTs3z6YmdnZ6= WQcp0iui/PfDeYDeE490ULVBs6Lu0QwSYiTYRJt4GhJwyDN0VPraxvPOUOBt+kgSWPrDmt/p5Yz= PTlcpXMeItU+uPTpbfr4vEhsbLmqTw57wOj02T9Cy3E+whotrPZvqMpmkqlRpjoVyAKW0C0UJva= 2toVdXV1ZaTUkwy4yDBOPDz1m06nDZIyCqI+sqy/+M/MOcMwWlpSqeda0+l0IR94hizZ1nQ6vaq= mZkmsqspz8GUQjWoh2pHP3wpgHKb5Hw0NDSUzSAWILK01AUBXV9c4C/EFBloA3M3AKq/jzG5Ljv= MjMA+RlO8v5OI2VlR4V9bVnTnZ1MkxkclCVM+M/SKRiMXAOVODXDXU1l49FRTrZDLZRaZ5J4AeE= C3q7+8/gsdRDZ2FOOJ7qyfdk4Mppng8bvt8vmeZ+dqpfOqh/h9ADHjcudxB5isXLw4ZwFUEvKSA= zVPRe0H4PJ7TLCnfgsm8bYlJdDkRxVOpVFdHR0cnE32epHyjXrHigsNpx4AhBvo09CkE7Jq67FV= CmInECwfGc65bGeQIzfWs1d1+G89q6boTwF6xI7J95rPWbd6sLtu6dd9EtuRaofmTTHSFZn7x8n= R64nC+h3eZMT7+Y9a6nYk2TQdx06itrfVbQtymlMrniX7HzH8GcMuKFSuWzWxnGEYtAW8F8NmWl= pYeTL48wpSPPocMB9FYUeHVUt7ab1lHxBTJvXu7mfkaAZwplLpi2t+tqqoqAvNyF3Ngqinv3Lmz= n7S+joARAKePW9asi4+t6fQeDTxAzFesWrHirMPv2z7fx6F1GAC0EEkGDgC4uDeVOvgF0FpXENG= inJRdmAxM89rtPm/6PjPnmXmQiQ6Ew2F1OI+CAWQsFjN9Hk8TATcCKDWIssV+/67S0tKAQXQTEb= 0hHAgMBsPhlkwmo7q7u7Xb49njkrIMQlBfJvPfsVjMtMfH3yiAS4lotRKivDQQOLU0HH4HW9b1E= thMlvWNZDI5Vltb6y8Lhy8VwD+DqCwUCgVKw+G15cHgBRDiU0T0VFko5GbmfyOid2ulfltdW9vS= 3d2t/cFgpSB6J4ALSkMhw1tS0j40NDQCAL/s7rbfV7l4PYNzgGghwrkA2FDy0U8e6Bq6dnWdHh3= Pvx+EZ5Jh30dDo+PtQogPA3CLikz7Vasa0g+k04cYxM8H0+rCysq1TPQ2aBx4f2nw2bmW+3uz2X= FfILBJEq1gKTeEQqFhV1FRalFpadSQ8kcEDKU6OjYODAzkysrLnwZzvWD+VCgYzJb4/e0VpaXnC= eZvAripNZX6DQCjoa6uCUJcTETVxJwrLS5O92ez0361aKirO5OBjxHRamhdEQ6FqkuDwTeyy/Ux= AA2pjo4fBEtK3k5EFxNRJRxnr+V2t+/avbu1LBwWIPp8WSjUtzwQaCfLWkfAlVqIZWWBQEffwMA= BAOgbGMiEg8EdBJyqgU2ZTGZs1fLli5QQ/yqI3kiAKxAKtWQymcH+TOZXpcHgGIjuKA2FwiV+f0= tpaamnPBS6FUSXCKVu7R0cHMlkMmMVpaVtAD6uDePdpaFQpDQcfochxNVa66+lOjpaAKAiFBoD0= caQ3z/gD4XaJfPVAIYc5kd27NhxRHxRcCaorq4uMk1zjWQumhoutlCqw7EsaThOjRZCCiGUMTT0= 8syl6Ugk4isiWry9ra2lurq6yEPUqKV0T41AzUoNUDabTvT2jszkd8IJJ4TYtqNa6yMGHgG5obG= x5uLi4hVC6wAmZ7I+t9+/Mx6P64aamhNIyuBMORPp9MHofuPqk+9jIaIE3APgOwDGifUF729+6f= nNuFA4azpuIsD44Nb4LZuisWXKoHvBfC8EfQGsn9c231xV4d83nUPfuHZtNVj+QbP+THBs+PEUg= E+9ig0XdXV1S02itSCySGutmHtHJiZe6urqmrlDSUYikQYJRIjIYK3HRnO53067JdXV1UVuw4gy= UDLdtzqf39uaTqenDX1lbe0JEKKwr20Yu1tbW9Mr6+piICrGZGpyAqa5IzGV/z+hri5iMy+3iHY= 6QPl0O1ZqILlrV/OMp4lIJFJjWdbeRCKRP7GmpsKRcuXBm1rvSnR07AOgpmQPuKQ8mYQIkNYMIf= ITjvPirl27emaKuHrZsqBtWacSs1cx58x8/rkdnZ2HxGv11dUrpZSrFABi3quE2Jaa5V287qsXN= 6455SRm/Bdp/igk7gIowsw/CIwNffqdqVT+4dWnvFMQzko2v3hzw4lrzwDRWyaGB74eCASKJlh+= moGzwfw1B87vixxXiTL4HgCWjfz7pgPYBbz28brfeDHqjO8WwABLxAB6ngBFRO8adPtrCIAm3g9= g6dKGs7wshE+xftmbTtvveeWVwd7Roa9ohTtAdKXBxscdg+8CdBWkumLByP+x8Lov0/15b29uW2= WVItAFzHgQhHOYuRJE1ee7rcfNYs84KX5rEfh3WqI4r3LbL+ntHQaAJzMZ9YHS4F4Nq5cEfZmIq= 6H50g82v5w81not4NXhdT+jE6BJqF8wWBOjEqxfIiJFhLe7SkKX5fr7R0jgMVtOeAQ4oJU6OFP/= pqnJUMI6BYLvBPAsM13PkmIbjoN+e73huHhhMhLpEZq+AcJ7GPgBwAcAWCTEXUX+0gvz7PzGEcJ= QzKGSUMgBgAsB2T0wfCOk/D4zbpVe83KjoWaTnRv7aX10zSrGhuOi714veN0Ho9PYFI1aebPoPV= LppYBohxT3YbLEYFQzvuHkR+4m25Id7c19y6vX+twl8mYG4nLAenxd57OzLsIs4B8Dx42hA8B3I= hFXwBNYkVdml9uw/0mAvw1QEOA8A38WQn9CCJEeAOz5HEj0nUjEVeP3y/Pj8fHDN1ks4LWF48rQ= Z2ITIJ3GU99G4O+BsByAJHAvA38gjY1KqlfyeXN4tVv3nzKjYOueWMzjy4mwlrxIAqeB0dcaKv7= phqOs7i7g2OO4NXRMlSc8vHbtGsHyaoDOBzBVEsw5BqXB6BGEZo3J7XJikiZM4LUM+JnxG2jj5o= u2P98zB6sFHGMc14aOKWO/f+1av4vliQS6EuCzAVo6a+qVOc/ANtZ8m+MYv72s9c/9f3ehF/Cqc= dwb+jQ2AKK2sdFtaHcxGTk3KfMshnoTAx4QKybsF4z/0TZSpigaTpS5sgvuyj8OFgx9FjBAXzys= fzZMBpwLQecCFrCA1yYK+qFNTU2GYRjhUCjkbcxk8um5zxKUtbW1vnA4jEwmoyKRiCsUCoWWmCb= 1jI7OeUh+Q0NDSSAQCCwOBIpLwmFveXm56O/vn5NuWs4qv78kUF7urqiocHp7e4+oRT4csaoqj6= e8PBgKhbxer1dns9l5uSBNTU2GZVmhKT66saLC61+82B8MBlUmk5mT7xQoFouZ3d3dRzsI6hBUV= 1cXBYPB8JJgsLg8GCwOVlSI/v5+Zy76WCxmejye0iqv19Wbzebnyy8SifiCwaB/6dKl6OnpmdeP= HESjUSsYDAb7+/snAFBDQ0NxOBz2VVdX293d3fM9i1JEo1FzPu9wGrFYzPR6vWGfz2cNDg7as+l= Y0NDz+XyRW8prBXMju90vdg8PH1XZaDRqCqXWEfNp1bW1W8XwsBdEN9mWNdg/MHDUrWYAUB4KvV= kqdZoW4gqDyK+1jkzXuh+NLp/PF3mkvFMJsUQw17HjjE/XSh8NxZWVSw3mG4goYEq5JlxWtqe/v= 3/OvLnjOC6T6AqtVCQYDrfYLtcaofV6w3G2903VwM+Fqqoqj1BqfYXX29Gbzc5rIaoiHD5dMJ8L= Kd/FQiwj5hXFPt+OwcHBow7QUtP0Q4hPwjRrA6HQK/MZjNHa2mWa+WxTiLX5XK62KhDoPTA4OGc= Bm9frLTGAW8qCwc4T16zpHx4aulBofVbecbb29/fP63i++vr6sFLqDJ/P1zWXbtPwu1zLhBDXGU= TB8kWLdsw2SAouY3d1dY1ByhcF8EL80DrpgkgkEnklxO9AtHIkk/nnlXv2ZFmIP5UEg8/PR1hSK= tmya9f9EMLg8fFHpWU9ZVnWnLNPV1fXGEtpCKJn9Pj4Y2ya8zK2tra2DhBlR8bGHgbQy45z+nzo= Ojs7x1nKX0khLiGlTpdS7pBErTkp5/1rFyWmWcHAybqoqH6+NKTUvjzzQ5qoD0r9Xy3lE9XV1XM= awrY9ewaEEC8rIZ6ZrU57JtZWVwe0ELezEE9XLFlyvyFlryPlhxtnnH4wG9Lp9CARPcFCXN2zZ0= +NVOp3eeb/SiaT863ylKT1Owyt3+smqpgnDbzh8D4AWWbeMdtxdDharYvQet6fD0zudh8iov8WQ= py9LRI5WxANxg87C2U2JDo69kwX5uddLqelpaX7aELPBAHQzO+Gx/Npx3HmXTpLRJ4St/t0AOeS= YcxrQGJqkwOAr0ohrtC5XBRAXhzlTJMC4tYI5sc0cFJ1dXXRfIha0+m0z+eb/KoWFeWTyWTX0bY= fzoQC2FRqXm1HtQ4RYKZSqeEtW7Y4DtBBQHRiYsI9H3oYRpq1vl8JcTWkDBv5fKEzJQuiurraZO= Z+DexjIUpfZaKEpZRH1fH/a2GScJwD0PouAr5EzPMelX8riOjJvON8zeVyDb4KmglFtEcKsdhxn= Ff1Y1taiAM2cKs0zZs1UPcqSCWZ5tkwDEsAq10u11F32/+9YRqGg8nZlADAxUxMpEzTnJePzcxU= AmwjorhmfrdjWXN+CaZRJMQyAC4QdWuiN0cPO9JvnqDZ3PFZDV0LEWQp5z0QtNZLtBDRll27OvP= MlzDwrlctJLNLCDGfUwQOgidPB7MBwLbt8+c5ExBPbhPMMnCfS8rPRKPRefG1bdsCgPb29l2k1A= 8Ik+fFzAcrq6vPZqUeHRoZ2aKZ98FxGuY72eRyOUHMYdu2X9UeAiIqVqZZPo+mSHR07NHMj9fX1= l4diURcCjiHtP7Gjh07MvMgByn1wTGlPNI0HwJRt0VUOg8yYPJEtfVS65cNl+txAdSIfH7eEyUR= WZo5sDISOWNlXd3aQsddFOy06urqIsGsofVISSAwNFdgEIvFTDU25lVKHcgMDfUPDAwMeYqLnx4= aGpprh/xB1NTULLeUehFa6/6hoXnNzMuWLQtKoMXQGiSE33CcZN/QUMGDdw7jVQGl2g3AqFy69I= WRTKZdjI/zPIJDs9TnCwhm0Tcw0H/imjWpwWz2j36/f2SuzEIkEnERs5eYx1jKYcnczVqP+oLB4= fkEXm63u7iIebeSUmUymWHM41c1qqqqPG4irRxnuKKqKjufbEZ/JvNcaSAwILQ+wyZ6Zmd7+665= aDBlM5ZS/RAi39LWlinx+bZP2Pb+bDY759cyWlZWLAxjPwFDeeac0LqdHWeob2hoTtfH7XaXkNZ= dUqk8hBj3jo+3xXfuXPjRtAUcn/h/Opzn+3pUliwAAAAASUVORK5CYII=3D" width=3D"186" = height=3D"43" alt=3D"" style=3D"margin-top:0.4pt; margin-left:102.75pt; pos= ition:absolute" /><img src=3D"data:image/png;base64,i= VBORw0KGgoAAAANSUhEUgAAAEoAAAAmCAYAAABj5g1QAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz= AAAOxAAADsQBlSsOGwAABZRJREFUaIHtWl1sFFUU/s6dmd22FApKicFI2rLdZKtJTTZGTYUUfVA= fFDUaJcYYfRD10QRNSCQ8gCHxwZjwpPDAUyVEIiYaXiSoMRW10RRsClZaQm1LBezvtp2duZ8P24= Wd2SndZXbrNvZL7sOcc3/O+eb+nHNnhIAMV7U9QuFeCLcBIigc15WoQyb5cX3qh6FcRWO8ZQvI4= wDW54jnlHDnnxd6j2QF8fi9rWnqLwFsKmLcLAjgjMDYf/GPc18D0D69aoq3bCO5B8AWAIX6RgBX= FfCJm5aDAwM9I2q4qq2NiqcgeLRIkgDgDk29ywZPDK1uX19A/VJDADyk6ZxojCde9hEhTc2JJ0m= eBLC1CJKy/dZrYLdY7Ni8+b57lCjsBmCGNDZGJ/1YiD5CQUQUiDe8ZLygCNkZ2jdBK5TepTT046= EtJS1RvDt0P2EgqPc8t/8tADeE7pdYq8G3TEBU/phIUzCxQFMFss7TThQELHbZLoYpAHMBtpHAa= gDRfFVebclsNx5JmlzINzEArgGQy4kAMIOmpSZwxrYiTyk6nsHXiMkZd+4uutIJYO0t3QwL4TuG= rv7Cth0nV6yUQbHsgwK+yOKXlSbRyfTMdq1Xe3xTyqBp2o0u8A0E6/wNgweisGHs9Hje6wBwufr= hVarUcycAQuVEInPjfX09tl/XGE/ofMsKx8DAwFiQvKkpMYW89ZXBAuIV+LFCVIFYIapArBBVII= oOxqLKcdO0Jr1SprQgb9NdbnAt7ShXTQSFGkUT5UzrCavG3O6acqOtdrTraj1SCmP/S9RFo6Opl= POsFsnjpWiiNqIrhRR+LZl1FYTu7u5pINi3lT2qQIRJGJcKRoBsCUJeLyqaqFQqUtPUnGjTAivL= ltZKi+ZGSslzy1uioolidGYdtTosxIYbN3KiwaAZxfKeuhVNVAaUQi4UCZwtpxUVTZSylYYZmP4= 6AGbnr35tApdEGQcQkMSXChVNlG1zKmLKGIB63wk9CsgBikyY2h1xq8zf+s+dG/3fElVXpyZnHR= wl+S6AqhzVKnF5sv9iT185yclFxcdRBtVnAKZ94joaeCmZTC7Zi74togiogFKW43p6OnpJgEsAX= J/qucF0OlKGIVVQKfqNjKK9drjG3iE5y5aAY4K/INVZ8tRmaKgr1RRPHAbxIYCaHFVLrW23XgF+= DPied1toaLh/rUTmnhcNy68rmqjZmvQaA/hg/oI/i5Qtsm+hPCksHDonDZh7fURF6MoryWTy566= urpIQZZrOnS5lP4V1fl3RS0+oZZ7g6M0iEaOMaUWtZQ2KyFmQnuVH4Ilr19xVpRqHpIC0vL5lSs= Vv5gDQ09NjC/gpRGZ9qk1GZK69VIcSM5MgEMuCKACYg/s9BJO+cEBR49VkMhmUOJcUy4aowQutI= wC+9Z9+FGy9MumE/yK8CJYNUcAxV0GOBHw9XhcR++ly+xJ86iliAO3Rfp+4AdUc4T+WKxBZ+ish= WEr/ZLsyxszplzVAqLEDyeQhFHb6MRaLRR3H+xXcNE2mxTAV/eHavD5AJqAkojV2hz+IHIZNiFE= lZHUR/pUMvb291xubW44DfBPwxDoPxMZn4n3A74t0IQK0aLE6xLQ8M1ADNODWUjwhyA2Y85uj57= 8igOsJbPdXJpD5RSIvFNBwl2aGUWk5SsXX6CWqyhXuAPD+IrmfMJNgP+M3N6eR3xECgJKF34Lco= virukIZX9TNEsA0nW4KhvIJkedisdjNlOZ0PQFO5veQqVy4b0gJcEoR6qOQKQABjDpaToXoo2Cc= P39+SiAdANI+M5pdsR68+XyMQnxVAt/6RfM9dTVVc1SAPYBcLvLKggBSADoNhZ1Ts9cHQxhUDAi= lPxfkXf2aAF7PedYK6cMiso/AX7fh2xSA7yDytuvOLrb3rSCLfwFffxHjz99mHAAAAABJRU5Erk= Jggg=3D=3D" width=3D"74" height=3D"38" alt=3D"" style=3D"margin-top:0.85pt;= margin-left:263.25pt; position:absolute" /> <= /span> <spa= n> <div style=3D"clear:both">= <img src=3D"data:image/png;base64,iVBORw0= KGgoAAAANSUhEUgAAAuYAAAACCAYAAAAU0xnuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxA= AADsQBlSsOGwAAACRJREFUWIXtzjEBAAAIA6Ctf2h9beADCWiSCQAA8KHfAQAA4FhSMQECHc0EN= AAAAABJRU5ErkJggg=3D=3D" width=3D"742" height=3D"2" alt=3D"" style=3D"margi= n-top:-43.5pt; margin-left:-66.15pt; position:absolute" /><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAVcAAAA1= CAYAAAD1eqj9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAADndJREFUeJz= tnXmwHUUVh7/JQpZHCCayhWd4AgkEAwohEghiBIFACBIMRlGLAlSsApGAWiKre2EhGDAQkFhGlL= CoJOJWgiKLgmxiChFRy0hpBCGyg5GS4x/zm6Qzt3vu3OS+d58v56t6de+7M3369Okz3dPnzukLj= uM4juM4juM4juM4juM4juM4juM4juM4juM4Th+zD2Clv+s6rVSHOAZ4V6eVqODHwDdrnHc+sBoY= 0fsqbTAflK9t1WlFAoYC84DvAXcDM4C9Oq2U6M+6tYsN8YkMOBnYJXLsINnqImBwG/VsiTOAA6T= oKGBmpxQBBgELOlT3EbJBp0nZYDJwYo3yE4DFLdR3SQfavYUGit7u77ryNwMWAZ8FuoFhwBxgbh= /r0Qnd+guFT9RlMHAY8AvZN2SCbhK3Bk4CprZZ19qcqw7bDxhTcd444N19qFdv198X7WlnHXOAP= Wqc9+6ag3AnmQ6c0mklAk4CLihNMkOBKRshs1193xu69Uda8YnNgFOBNwOfiRz/guQBvEODcJ/T= BTyh2/EbS8fOA54DrgZ6gEd13r7AZcANwDc0MIfMVLmp5EvUqcA2wJck40TN4nfKYUYCXwSmAau= Ag5vUv6uWDikdynVtTHsOUZm5mgmvBmZF2tcDfBV4WMsbSnVMT+h0LHB7EJJZVLLBNsBC4HrgbF= 1UVW1HenxY9l0QzOrlcpMVPpgb6FtuQ2jTL+scdLEfqfJTgfnApcH5zXQ8RXYI2zpOdTyiCyLVl= zMT9ZbLl/0ppdMwtXk8jdTx5ZjsiUHfzwv0iPl9qp3NdIv12WzZZprscqIG4Vt119vseMoPUjYP= r6ky5TalZIQ+Ma1JX6Fw10UKBRwDHF6SMxK4Cxii/0/TyrzPeYsu8EF6H3KOLuaCM9Wgq2WgXYG= LE3J/oJjHMA3g52mAKeKawyRna53/Vr0uCWIusfp7gOEVOsTq2tj23KKBpAtYqos4bN9Y/T8FGK= 2LZ3hQx6SETpOAa+SEszRghTYYBXxXcfEddSFWtR0df1gDZ1F+bEW5y2XTqjYUdr1Sx7rk3Jmce= IZkLAx0aGbTaySnaOtoTe77A9sC76voy1i9sfKhLat02kmxuRTNfDkl+8xgMir0iPl9lc9W6Zbq= s8XA0ZJ3DnCUJuZxKld1PCUz1dflayr0l3KbUjLKPtHMf+bpekGD97jS8cnA5/Q+A26OnLNBlGM= PzZgO/BZ4FbijdOxy3dWh+MbOGhCuBe4FXgf8MiKzWzP2g8Aa3ZK/FzgOeEZfzKyRobdTJz4gw4= 4Enqyof6VmwJQOsbo2pj3dqvP7stFmKhu2bxZwBXC/zvmPPi/qeENCp1XA88AK4J3AVSUbzAW+B= vxa4YC7mrQdOda3gIeAl4AXVGes3DAN2n+taENBJt96VrLuAXbQ/7/TRfkrndtMx9G62yFo62zd= qdwJPK42pPoyVm+sfGjLKp1M4bDYlx51fDkmO/TXUI+Y31f5bJVusT7rks63qW//DSyXXqtkr6r= jKT9I9XV4TYXE2pSSEfrEizX8Z1tNAAZ8XN8ZhWwO/FHvd9fKfFVEx5ZpZXB9jWbkR3ULPV7LyQ= x4D/CyZplxUvJ2zSYrdREfA/wmInd33UWs1v/jgU8CH9VMVCw/HlcQe40GmUnq9KEV9RexppQOq= bo2tD1vkvON0Sy9SOeG7dtGsscq/nOlOr6ooyeh08saWKcCJ8ghQhvspYHvADn9iiZtB9gb+JF0= ma9wwn8T5SYBP5OuqTaEfXqHzpugCbno5ycVr79P5zbTcbIumP2Dto7Xa5fu1EdU9GWs3lj50JZ= VOq3U3f5puiY2Vyxv75q+HJMd+muoR8zvU+1splusz/bSxLIaeBvwbeD1CpUMrXG8ypfLNi9fUy= GxNqX8JfSJbWv4zwKNUbsCp0cG16c0KI8BPqEQR1uoO7hOBP4FvF2z0yu6kF+Rka8A/qHGPq3ly= RrgL5qtipl0VET2FC2lC36s4PN3ZKjf6/NngX9q9kQGeQnYsqL+LTTzpXSI1bXZRrRnHy3Hb9Js= fnOkfcs1g96oJVzxKFtRx52J9nfLAS6XjN0CG3TpjvUK3X2u0YBR1XaAn+sLyhuAPwA/1Oexcnu= qjqo2FBThgMHqg81lh0L+7oHvNdNxB+Ax3c0Vbf0RcJYmr8d00ab8JlZvrHxoyyqdXtXjPON1wd= +gZft9NX05Jjv011APIn6famcz3WJ9tq8mzDG6Y1yla/0/snez4yk/KNt8WOSaCom1KeUvoU88X= sN/CvbQCqrgnbpR+ZMG358Cy5qEfJwOMUhxoN5geznfCMWYDtUSqi84LYibDq9xvuM4TtvYUcsx= Cx7paCcj9c32g1o+nlsxQ7ebL+oOaLc+qs9xHMdxHMdxHMfpt+wXPMA+r9PKtIm6Ocqdyteuu0d= AK7nW/TFX33E2eeYrxa7VZ2TbTbvyzOvkKLcjX3tD9a27R0Arudbhuf0lX99xNnkW6tvrFL2Zg9= 8bsuvkKHcyX7vuHgGt5Fr3t1x9x9nk6QrueGK5v+Wc/li+cJh7fWoL+eap/OtWcptjOchhjnKMq= nztWN2x/QWm18xbL4jtEUBFTjkt5FqH54b59LFc/ViddXP1KclP6fQa4NMV9necTYK3BHc8qdzf= Ikc6lQMd5l63mm9ezr+e2EJuc0rmNcED2zFS+dpV+fWx/QXq5K2T2COAJjnltJBrXW7zEtUTy7W= vm/OdytUv5HfX3GPCcQYMrcZN99OFRSL3N8yRjuULl3OvW8k3j+VfT2shtzkmM8xRTpHK107lVc= f2F3iuZt46iT0CaJJT3kqudXhuYcf9Irn2qTrr5uoTyN+7xh4TjjOgaGVwHaP84of1fyz3N8yRr= soXXl0hgxbyr7drIbc5JjPMUU6Ryteekqg7tr/ArjXz1knsEUCTnPJWcq3Dcws79kRy7VN11s3V= J5BfZ48JxxlQ1B1cp2pAPFRLcxK5v2GOdCpfOMy9biXfPJZ/fUvN3OZBCZlhjnKRa1wmla+9MFF= 3bH+BunnrJPYIoElOeSu51uG5hV63RXLtU3XWzdUnkP/nhE476stCx3GcSnpzfwHHcZxNkt7eX8= BxHMdxHMdxHMdxHMdxnAGFLQe7ss0yDwfL1r32JvZlsHKmkrMetgjMwJQR1h9sZoeDPQT22c7qU= UXov5bJjpHH++wAsLvALgTripd3BgqtPOd6Qvxjmx5/X4sMMgte20yoT3YGZGuqzna4Sc/oin5h= sww4osM6NCP03wP1PHQJG6vH1Wbrcbv3Jco7A4SN3NnKXquf2i29r1V2fP6wfPHablrVZ1Ont/p= hY+iPOpUJdbTtlPn2ROTEffPfacqe0vPDxzeWdwYSGzC42rFgt4NN06YiH8uXOuF7ewTsArDzwR= 4AO0jLpcXBMnOyHl3Sqw0CO0XnX54vm+wnYEvAFoB9CGww2Ok655z8fwCbAHYL2MP551DSZ76Wu= 7fpdSbYTmCrwA6Oy43qk+mzh8CuBdtF9V8P9k2wo8Du0/Lv+KDtzY5H5NoP8jCMvRfsnvwu3LYB= uxHsDLDSTllRGWX7jQD7EthK2cHAdi/1RyGvsNnwhC1iNovoDI16R8vG2hbqNBTs85J7oMoa2Ix= 8gLI1YEeWbJLSJ9KeBj8v6xzzsUBHy/IBNEv9wF33ukE3eyH/YU0b0Wh3ZxPExsrZuuXQ5+izy4= LjxfsesK+DjZZjPrhuIFwrb3bp9RA5/HCwL4BNkczlckI0EB0NNhLsK2Cl30C30bpgsvX1AbAbJ= PvCID62fVpuVJ+D1O5hGpRvUV2jwG5SuyeDXaf3bwK7uMbxmNyxYMvAdtDAeh7YYfnEEO2flIzQ= fuPArgLbEuxEsOBHDtf2w7Ig5lrYLGWLss0iOkOj3tGykbat1alHg+Qo2e8+DciL87tF6wKLhA6= S+kTa01A2YevQx9bT8UAwhQPsksaYq50EFmy2Y6uk9+zGOpyBQKt3rk9C9jctY5r9EujjkD0L2Q= rgb9rAQ1i3QgLdwZJoYp5Gmv0bsk9Bdr8+fwKyIp1yJ+0Y9aLy3SdKXgb2Nm2Nt2eTdv0kL2fD9= JPFKbkxfXbL00CzNZDdrH0GtpCMpyFbqba+qPd/D7bWqzoekzsq1y/7a3Devfnvv9uidXfNa0nJ= COyXrQLu0E8Iz173U9nr9UOMmC0SfdGgMxG9Y2VL5zTo9ARkz0P2kFJsRwCLgfcDb83bZR8I7si= r9Im0p6FsWZ+Ij62n4wfyn583Az6S/4y0hb/08HftjqYBmr8oNushgQHKhsZc9SUUpuVN+T3ABN= 0h7ZLnl2fPB+XfqBz44hVt7DEvvztJ8pguppGQZZAt0edztfPSBcCtymEv61Nwm7bLGwzZKxVyY= /r8Md+s28bmd0Os1A5TG0tM7vONp2VPQXac8vTPal2Gjc4ng2wGZEdB9ogOhP0QI2aLVF9EaNA7= UrbhnFCnV/ONZmxzhTGe0dL6Li2rx2kiv0ryMsgeba095bIN+sR8LNAxO3ZdeS7NNxXKngzq/GW= +EY9tpd3Gltawu7NpYMs0q58Mtlrvj1Jc62ywIcH7nnxJbt9TKGGX9WOuRWwsjJHZUC19V4BdoT= jaD8HuBNOTCjYE7CzFdK/N42AUj7isyJe5dmEudz19ivihHiWzeeuWyim5UX0Gg52mMMe1YDur/= FLJnw92s96fqnivBa+p48c1yo3a+yM694F8OWlb5vFUiOvWYL9RYHcHd2hL9VnRHycHnwc2i9oi= ZrOYznPAJpX0jpUtn1OOn75f8eTL8vDG2s9n5aGC2j47J96ehrJlfWI+dmSs1nVhgbB/KMIRD4J= dpJBAorzjJLGePJbl9C9sT8Ueh2iSm1Nauv6fYUPy2Knj9D9aeHDZ/Dk8x2krmScOOI7jOI7jOI= 7jOI7jOI7jOI7jOI7jOI7jOI7jOI7jOI7jOI7jOI7jOI7jOI7TF/wPoFKmQuyjAk8AAAAASUVOR= K5CYII=3D" width=3D"343" height=3D"53" alt=3D"" usemap=3D"#awmap1" style=3D= "margin-top:-41.25pt; margin-left:89.25pt; border-style:none; position:abso= lute" /><map name=3D"awmap1"><area shape=3D"rect" href=3D"http://creativeco= mmons.org/licenses/by-nc-sa/4.0/" alt=3D"" coords=3D"10,31,224,43" /></map>= <img src=3D"data:image/png;base64,iVBORw0KGgoAAAA= NSUhEUgAAAE0AAAAcCAYAAAAk2zLiAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlS= sOGwAAEyhJREFUaIHtmWl4lEW2x3/1vr2ks3UWEgKEhEDYEiaCioJoiLLEiMhlRAmiBgUDPApX0= BFBH3GA4c7gOFyZwSDKoiyjIzAsioAghDUkA2jYjKymCQkhkE56TS9v3Q/d6QQQnPvlfrrnSXqp= t07Vqf9Z67TweDzy0qVL+KUfIQQE/m4k2WpEBt9vmheYIrmZpGyZK2WQkRZeGXy5da1WG4pbl1Z= acdzw6Fbhb5EJKW7c7zbsUsigfBLNp5GW1hlFVRDV1Zdk4eRJ5A0fhpQ3bRD6rgRkDwovCXyWUg= bfAdF88lukvkk6Efwo0aREaoE9dIrSwita5BDi5mMHtCCkQGoSv6ahCVAUBSEESuvZtwNQBvmlx= C+14HkEitICpgiCFji3YOf2ncyf+1+kp3dBZ3c4SE3tREKbBCTareeUEs0vafJ4cbvdeDwefF4v= iqKg0+kIDw9HbzCg16kI5Q6ABWWWUuDxeKivr8faYMVmsyOEwGyOxmyOwWw2YzToW5nyjTJpmob= P56P+egMNDYF/KSXR0dGYzWaiY2IICwsLyiJvsTQhBH6/xvXrVhobrDQ22vB4PISHmzCbY4iNjc= FkMqHT6VrtLejcpQvnz18IgBZAUgkt2BosKaHJ5eFy5SWOl5dz9tw56uqu4XA4MBqNREdHk5zcg= d9k/YbOXTsTExuDoupCFnKDfiVITaPuah0HDxyg/Idy/D4/JpMJTdNwupxERkZyf7/7uatPb8wx= MSiqQAgR8gBNk1itDZQf+4FD+0twOByEh5tQVRW3uwkhBFl9snjwoQeJbxMPSgB3ETRXicTtcvP= jidPs2vkd165dCyhdr8flcuH3+0lP78zAnBySUzui6HUgJEI2g68hhEAHzW4hWtwt8JgGq5Wd23= awr3gfTe4m4uPjaZfUjsjISDweD9evX+fokaMcOlhCaloKv33qSbr37IGiCKRsFrbFFequ1LHsk= 2V4PB5G/sdIBg8ejF6vR1VVGhsbWb9+Pbt37ebMmbOMHDWS2DZx6IIKBbh+/Rqb1m+i8mIlDw54= kPz8fOLi4tDpdNTV1bFnzx42bvwnp46f5MXxL5CU3C7kohrgsDsp3lXMrh076NevP7NmzqJDhw6= YTCasVivHjx/n008/ZcmHS3j2+efontkTxaC2xKRmuztz5oxctPhvZD+cHXRPiZQSq9XGso8+5t= Txk6SlpTF27FiGDx9ObGwsBoMBTdNwuVxUVFRQVFTE3uJihCooGP8Cfe/vG4wPzYCB3WHnLwveR= yBYuXIl6enp2Gw23nnnHbp168b06dOx2+3s37+ft956i5TOHRn19CjCIyIAcDldbPhyA+d+Ose8= efMYOHAgkZGRXLt2jX379jFixAjcbjdnz56j8KWXcLqdvPbm60RGRSCEwOv1sm/Pfjat38gbb8x= g7NhniIiIwGaz4fP5iIyMRK/Xc/XqVWbNmsW+/ft4ecrLpHXtghCS0oOlPDLwEXJzc2lRoxShEN= DkcrNi6TJ+OPYDD/Tvz7p165gyZQrdu3cnKSmJ+Ph4EhIS6NixIzk5OXzyySfMmzcPBZWlRR9x6= vhJpGy2WIlEsvu73VRWVrJixQp69epFeHg4TqeTQ4cOsWfPnlBcGjx4MK+/Np3yo+VUVV4KhYmq= S1Xs3bOXYcOGMWDAA0RFRVFbW8vq1at5//33OXz4MFJKevXKZMXKFVytvcr2b7aFQs6VyzV8tWk= LEya8RGFhISaTic8++4wRI0YwZMgQCgoK2LdvH+3ateO9996jU2onvt7yNU67vZWVBT4orYwOiU= D6YfvX2zn6ryP06d2b1WvWkJ6ejslkCmWowEGCWU+nIyYmhgkvvcTC/16Ix+1h6YdLsV5vCOhBA= afTyVebtzB50mSysrJQVRWHw0FtbS2FhYXk5+dTVlYGgMFgYPgTI+jduzdbNm7B4/Hj92ls3rgZ= h91BUVER+flj+Pbbbxk0aBBz586lurqaiRMncvr0aVRVpXv37hQWFrLjmx24XU1omqS09F/EmGO= YWPgSBoOezZs3M336dK5evUpKSgpHjhxh9OjRHDlyhMTERGbPns2FCxeoqqpq5Zk3gxZMVjU1NW= zd+g1ms5l//OMfxMXFhTKWz+dD07RWiUKGxoQQPPXUU0yZMoX6+np2fLMN6fOj+f1UXb6M1+dl3= LhxKEpgy8rKSgoKCpg2bRrjxo3jySefDMZUQVRUFNnZA6mpqQ3sq2lYLlYya9Ys/vjHP1JbW8uY= MWM4f/4848aNY9u2bWzcuJG77rorlNDy8/NpavJw+XIVDoeD8+cvMGTwEMzRZtxuN0uWLCE+Pp6= 1a9fy1Vdf8cUXX6CqKm+++SYAnTunER8fT1VVFQKBbAVdK0sLDB88eBCny8Wrr75Khw4d8Pv91N= TUUFJSwsGDB/n555/x+/243W4qKirYu3cvx44dw2q1IoTg9ddfJzYmhrLDpdisDQgBLqcTnaIjN= TUVIUTIZZqBl1KGlAGBmqtr1654vR40zY/f78Pj9dK3b18mTJjAt99+y8KFC8nJyWHdunU888wz= fP311/z00080NjYC0K1bN6SUNDbaafJ6aGhoICOzJzq9PhTD+vTpQ3JyMgBdu3bFaDRSXl6Ox+N= Brzeg1+twOd2hWrIZJ12rGgNvUxMVp39Ep6g8++yzaJpGVVUVU6dO5ezZs+j1etq0acPSpUspLS= 1l/vz5IQCGDBnCu+++S3x8PA8MGMDuPd9RfaWG6DaxAU1Jid/vD1mCwWAgOjoanU6Hpmkh4ZvB9= Pv9IASKUFBEICz4fD4URSEhIYHnnnuOoUOHcuzYMVatWsWcOXMoKioiLy+P/Px8UlNTAYnaXPQq= Aq/XhwAiIiKYPXs2Pp+PuLg4FEXB5/OFLL21QptrJ9HqDnODezrsdhobGkhOTiY+Ph6v18uiRYs= oLS3llVdeYfHixaSmpuL1enn77bfxeDwsXryYadOmhQ4thCA7OxuPx8PVujqQYI4xo2kaJ46fCA= nTrl07pk6dSnh4OKqqsmzZslC81DSNU6dOYQoLxFFVpxIZGUl5eXnIJxoaGli5ciUmk4nRo0djN= BoJCwujuLiYcePGMX78eBRFJTYuFqPRSFxsHGWlZTR5AvXchx9+yNtvv83Jkye5du0aZWVlOJ1O= BgwYgMFgwOVy4Xa7iY6KCsjVCihdS4CTuNxOXC437Tt3CKF/7NgxoqOjyc7OpkePHmRlZeF2u7F= YLDz22GP079+fe+65J2Q9QggyMjLw+/zYGhtBShLbJhIVHUVRURFZd2VhNBqJiIggKSkpVFhmZG= SEQKupqWH37t2kpKZg0OuRAjp36cL27dspKCigXft2WK1Wdu3axd///ndcLhfdu3dn7ty5JCQks= GHDBha8t4BocxQJiQno9Dq69+jOvu+KuXLlCmmd08jOzmbmzJmMGzeOzp07c/ToURITE3nrrbfw= er0cPXoUh9NJSmpK0PokzTVtq5gGqqqiqgputztkNWFhYXg8HtxuN36/n4qKCnw+H6qqYrPZaGp= qorGxkcuXL+PxeJBSYrPZEIqCQW9AQWAKM/JU/ijW/3M9W7ZsuSGZ0OomIqXEYXewds0azpw7y7= AnhqPqVBRF8PgTw7BYLKxcsQKH3UGHDh1YtWoVf/jDH+jatSurV6+mb9++pKWlkZGZidfn44mRI= zAY9KiK4N777kEKeGf2bJxOF6NGjWLBggUkJSVhsVjIy8vj008/pU+fPlgsFubMnUN6t64kJiWF= 7qbNpAv5JhARHkFERCRVVVX4fD70ej0vvPAChYWFTJkyhbS0NIqLi1m8eDGDBg3i4MGDFBQUUFt= bi8fjYfPmzRgMBkpKStDpdJhjzIH0IiV9+/bl5A8nmTZtGoqikJeXR3JyMgUFBTQ1NQFgs9lYsW= IFi/66iMGPDqVt+0QQEkVAQlIijw7P46OPP8IYZmTixEkkJiaSnZ1NWloabdu2pampiW+2fcO06= dO5t29fBuYMDBqIIDY+lmeef5bFH/yVSZMmsXDhQkaPHs2TTz6JpmkoioLBYODUqVO8+OKL+Hw+= fvvbkRiMhkDXpVUuUKdMfeXd0rLDdEpLQ9WrlB/9gXPnLzB06FA6depEp06dSE1N5fvvv6e+vp5= XXnmFUaNGkZeXx6VLl6ioqKBNmzYsXLiQlJQUpJTMmTOHhsYGHhuWh9lsRgiBqij07n03lkoLS5= Ys4fDhw3RJT+ehhx4iKyuLkkOHmDxpEhs3b2Rw7mCGPjoUfZghqGGBqip0SG6PogiWfbKczVu2E= B1jRlFUNE1y5OhRZs16iyVLltCrVy8mvDQBnV6HoopAMFcEcQnxpKZ0Yu2ataxesxpFVTEYDNjt= di5cuMCfFixgxpsz0Ol1/O53vyO+TSwi2PmoulRFWmoq6eldEWfOVMhFi//GQ4/koEmNoyVlLPl= rEQ8NzOaLL74gLCwMAJ/PB4Berw8hrmkaXq8XVVVDWfDAgQPkPppLereuvDHzDUzhYaF+mJAK3i= YPx44eY+fOXVgsFhShABJN89O9Rw9y83Lp3K0LOr0+WDveqGafx8u5M+fY8c0Ofjz9IzqdGijKN= Y0OyR14eNAj3H33PRiNBjS1pUshhYaUoEqFK1U1fLXla04cP4HH60ERAq/PR0JiAv363c/DDz9M= RFQEmpBIAaoUlBw8zKCBOeTm5gXcU9MkUtMAQY+ePWmf3J6dO3fy+eefM2bMGIxGI3q9/ga/bom= BKgB+v5+qqipee+019Hodjz/xOIYwUyCN09Jq0xsN9O13H5l3/YaGxkbcbncodppjYzDodajNLS= Z5Q3crpLSeGT1J6ZSGw+HA5XKhaRqmcBNREZGYwsJCBbQiW7KekC0lQ9v2SRRMeAGbzYbD7sDr8= 6JTVcwxMcRER4VirXJDedbyRSelxGZvpLqqGoNBT0RkJM+9UMBf3vsLs2bNCsWNqKjAYoqihOqZ= 5sV9Ph/nzp1l6tT/pLy8nJyHB9KjRw/qr13D7/OhNHdub+oK6lCIDAsPfbfXW4NtmDv3MgNnCNR= fJn1YoGmpSRyNNhw2W2iOuKmXFhqRITVi1Okx6gKhvcnp5IrT2TI7KIsEGhtsIaMRp0+flv0f6E= 9kZCSqqjJ8xBPc178/339/jM+Wr8Sg1zNh/ATGjBlDSkoKRqMxxKxpGvX19ezdu5c///nPnDhxn= Kw+d/F8wfN4vF4+WvIRjfUNdzj5bcZ/BbD/U97gXIfTyepVq8jNzQ1YmrXeirXeCsC6L9fRsVMa= d997DxHhJlZ+vJwPPviAjRs3cv/995OVlUVSUhI2m42LFy9SUlLCiRMnsLvsDModwrDhj2M0GFm= zdCkVp37E5/XdIINerychISEgiMMRGrfb7URERKBpGna7/bbnNRqNmEwmHA4HYWFhaJqGx+MhPj= 4eIQR1dXV4vd7b8gshMJlMtG/fHqvVyvXr19HpdERHR2O1WkOx+04kTp06JTMyMkIDiqqSnNKR1= 2e8Tpv4NtTV1rJ7526K9xbjdrlQVR2qqoYu64qikJzSkafyn6ZTlzQMOj2fLl/JvuK9uF3uWzZM= TExk06ZNWCwWpJR8/PHHjB8/nsLCQpYvX87MmTM5e/bsbQXOzMxkwYIFTJ06lcGDB1NXV0dERAR= jx47F5/OxYsUKNm3adFvghBAsX74cu91OUlISM2bMwGw28/777zN58mR++umnW38rCdLWrVsZmp= vb6u4ZJM3v55LFwpzf/57JkyeTmZnJ0888zaPDH+Vy1WV+rqykpqYGnU5H127dSUnpSHxcPEa9E= afTQVHRhxwuKbnFwppJF4wfGzZs4PHHH+f8+fP4fD7WrFlDRUUFFy9evC1gAGFhYXTs2JH58+dz= 8uRJAEaOHMmrr76Kw+GgXbt2tySsm6lPnz58+eWXbN26FYfDwfPPP09ZWRljxoxh7ty5oTvyL4L= eUtzeClzdlTre+9N7DMzJYcijQ2ib1JYemT3p0SszdBfT/Bqa34/T4eDg3v1s3rSZmpqa22qKYN= WvqiqKohAVFYXRaGTevHmUlZUxceLEO/IStJSKigqcTifZ2dmsW7cu5K5NTU1ERETccQ1FUZgxY= wa9evVi+vTpfP7552RmZlJdXU1OTg7z58+/I2jcDrTAVVTidrr4dtt2Dh8qIS0tUOS2TUoiKjoK= j8fDtavXuHTpEufPnedKTQ0ej+eOm9GqtuvSpQt+vz9UqtTW1lJbW/urAnu9Xmw2G4sWLWLt2rX= YbDbWr1/Pu+++C8CuXbtQVfW27qmqKpMmTaK0tJTKykpSU1Oprq5mz549JCYmct9997F///47yn= BLTLvtRCFCP9s1F7Jerxe/3/+r1tGawsPDuffeexFCcOXKFS5cuIDf76dfv34cOHDgV9eKi4sjJ= iaG6upqevbsSU1NDU6nk4yMDKSUnD59OvSz3i+RoigkJyfTrVs36uvraWhowOfzYbFYSEtLo6mp= CYvF8ou8W7duZejQoQiLxSJffvnlXwWMVhfsm8d/6dmd1mrdt/rf8t5MN1/6f2291vUlN53tdud= spjlz5pCZmflvyfr/dBP9D/Vc3AOfUdjYAAAAAElFTkSuQmCC" width=3D"77" height=3D"2= 8" alt=3D"" style=3D"margin-top:-34.5pt; margin-left:357pt; position:absolu= te" /> &#= xa0; = ; &#= xa0; Nombre del volumen = &#x= a0; P=C3=A1g= ina 1 | 26</div></div></bod= y></html>

MIME-Version: 1.0 Content-Disposition: inline; filename="document.html" Content-Type: text/html; charset="utf-8" Content-Transfer-Encoding: quoted-printable Content-Location: document.html </title= ><style type=3D"text/css">@page Section_1 { size: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 }h1, h3, h4, p { margin:0pt 0pt 8pt= }li, table { margin-top:0pt; margin-bottom:8pt }h1 { margin-top:12pt; marg= in-bottom:3pt; text-align:justify; page-break-inside:auto; page-break-after= :avoid; line-height:115%; font-family:Cambria; font-size:16pt; font-weight:= bold; color:#000000 }h3 { margin-top:2pt; margin-bottom:0pt; page-break-ins= ide:avoid; page-break-after:avoid; line-height:108%; font-family:'Calibri L= ight'; font-size:12pt; font-weight:normal; color:#1f4d78 }h4 { margin-top:2= pt; margin-bottom:0pt; page-break-inside:avoid; page-break-after:avoid; lin= e-height:108%; font-family:'Calibri Light'; font-size:11pt; font-weight:nor= mal; font-style:italic; color:#2e74b5 }.BalloonText { margin-bottom:0pt; li= ne-height:normal; font-family:'Segoe UI'; font-size:9pt }.CommentSubject { = margin-bottom:8pt; text-align:left; line-height:normal; font-family:Calibri= ; font-size:10pt; font-weight:bold }.CommentText { margin-bottom:0pt; text-= align:justify; line-height:normal; font-family:'Times New Roman'; font-size= :10pt }.Default { margin-bottom:0pt; line-height:normal; font-family:Arial;= font-size:12pt; color:#000000 }.Footer { margin-bottom:0pt; line-height:no= rmal; font-size:11pt }.Header { margin-bottom:0pt; line-height:normal; font= -size:11pt }.ListParagraph { margin-left:36pt; margin-bottom:8pt; line-heig= ht:108%; font-size:11pt }.NormalWeb { margin-top:5pt; margin-bottom:5pt; li= ne-height:normal; font-family:'Times New Roman'; font-size:12pt }span.Asunt= odelcomentarioCar { font-family:'Times New Roman'; font-size:10pt; font-wei= ght:bold }span.CommentReference { font-size:8pt }span.Emphasis { font-style= :italic }span.FollowedHyperlink { text-decoration:underline; color:#954f72 = }span.Hyperlink { text-decoration:underline; color:#0000ff }span.Mencinsinr= esolver1 { color:#605e5c; background-color:#e1dfdd }span.Strong { font-weig= ht:bold }span.TextocomentarioCar { font-family:'Times New Roman'; font-size= :10pt }span.TextodegloboCar { font-family:'Segoe UI'; font-size:9pt }span.T= tulo1Car { font-family:Cambria; font-size:16pt; font-weight:bold }span.Ttul= o3Car { font-family:'Calibri Light'; font-size:12pt; color:#1f4d78 }span.Tt= ulo4Car { font-family:'Calibri Light'; font-style:italic; color:#2e74b5 }sp= an.UnresolvedMention { color:#605e5c; background-color:#e1dfdd }</style></h= ead><body><div class=3D"Section_1"><div style=3D"clear:both"><img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYA= BgAAD/2wBDAAUDBAQEAwUEBAQFBQUGBwwIBwcHBw8LCwkMEQ8SEhEPERETFhwXExQaFRERGCEYG= h0dHx8fExciJCIeJBweHx7/2wBDAQUFBQcGBw4ICA4eFBEUHh4eHh4eHh4eHh4eHh4eHh4eHh4e= Hh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh4eHh7/wAARCARkAzMDASIAAhEBAxEB/8QAHQABAQA= CAwEBAQAAAAAAAAAAAAECBgMHCAQFCf/EAFQQAQABAwMABAgLAwkGBAMJAAABAgMEBQYRBxIhMR= MWF0FRVaHRCBUiU1RWYXGRkpMUMoEjN0J0dbGywfAzNDZScrMkYqLhGCbSJzVERWVzgpTC/8QAG= wEBAQADAQEBAAAAAAAAAAAAAAECAwQFBgf/xAA0EQEAAgIBAwQCAQIEBAcAAAAAAQIDEQQUIVIF= EhNRMUGRIjJCYXGhNDWBwRUzsdHh8PH/2gAMAwEAAhEDEQA/ANAlFlH6XD4qAAABAAF/QALAAKk= osoJIALAiohOv2C0U1VzEUU1VT6Ihy/suVx/u179OUm0RPeWUVmf04RyXLN21HN21coifPVTMOP= tWJiU1O/8AQSVSVRAAJRZQAE7RY/G/pUlUkVAAAASUWUUAECUWUIAAkEnuVJ7gQBQARUk+8laYm= qqKY75WEmf25sS14SvrTHyYfewtURboimP4s1hx5L7kAViAJKpKLKIAABISLCACAAyAAAAgAFSp= Ce8YyzjsAIyRjVLKeyGFXawvLZWESYXuOeWDZtDzLwRHagRHECyjKGOwBJWDhFJFROFDRtiKgDi= uzzLkrnilwyxtKxCANbLZKKSaXaLRHMo5bdPFPatY3KTPZnAcDb7YYOeUWUdMOeAAABAAF/QALA= ebl9ekabn6tn28HTsW5k5FyeKaKI5mXb+2/g9a/m40XtY1PH06qqnmm3RRN2qJ80Vd3Htcufl4c= H/mW034uPky/wBkOlJ728bT6Lt07k23la7gYvFizTNVqiuJirI47+pHnbTqPQ5q20tZw9V1CxGt= aJZuxVlRjzxc6npmmfN3ed6V2xm6Rn6LjX9ErtTheDiLdNuOIpjjumPNMPL5/q/srE4e/wDn/wB= ndxfT/dafk7PBmRZu496uxet1W7tEzTVTVHExPocb1P059EtjcNi5rugWqbWq0RzctRHFN+P8qn= l3Kx72LkV4+TartXrdU010VxxMTD0OFzqcum4/P7hycjjWwW1P4cTKxarv5Fuxbjmu5VFFMemZn= iGLYejTHoyt/aNYuRzRVlU8x93b/k68t/ZSbR9NNKxe8Q9PdE/RZoO2tCx8jPwMfN1S7biu7cvW= 4q8HMxz1aee7ju7H7eVuzo8xcivHvapotNy32TEV0TwdMuoZGl9G2sZOLXNFzwE0U1U9kx1uzs/= F4lqqqqqqrqmaqp7ZmfPL5Xg8O/Pm2S95h7fI5FeLqlavR/TbruydYp2zYwc3Tsm1Tq9urJptTT= P8nxMTzx5mu9PuP0c2tuYc7Zt4NGoTfnj9ljjmns563HZ93Lq7o8ppr3zotNVMVU1Z1qJiY55+V= D0h8JTSLeVs/BxMLFs0X7+dbt09WiI5mZ+x13rXh5sWPcz+f200tPJx3tqHlKmJq7IiZmfsZ12L= 8RMzZuRERzMzRPY9l6BtbanR1tGMi9gxeqtURN+94Dwly7V9kPwNW6U9l16bk0Rt7V4mbVUczpc= RHd97bHrFr21jx7hrn0+Kxu9tS8pU2L1VMVU2bkx6YplK7V2iOa7ddPPdzTMPaPRPY07yV6Nm3c= OxNMYfhKpqtRM8czLDaG9Nh7yzrumaXas3b1NuaqqLmNTHNPdLCfW7d9Y+0f5//DL/AMNrOo935= eLimmqvsppmZ9Edr0Dujop0zM6csXS8S1+z6Xk4/wC137dHZFPEzE0x6OeP73aevansDo7wMXEz= 8fEw7dcTFm3TZiqqYjzt2T1iuqxjr7pn9NdfT57++dRDxtp1m1RqGPOo2rlOJ4Wnw09Wf3ee3ud= 39NGP0Z2+j+ivb1rTadR8Nb6k41MRXx1Z554833v2OkLpF2NuXRsXSdFo5zLmfj1UxOPTTzTFcT= Pb9zYvhGYeJY6KK7trFs0VRetdtNuInulzZOXfJlxTes1nf423049aUtFZiXk6LF+YiYs3Jie75= EsLluujsroqpn0TD1JtDpU2Pa21puL8S6lkXcfFtWrtVrTqa4mqmmInt59MS3TbWp7S33g5lixo= tyi3biKbtGXhxamYnnjj2t2T1jJjmffi7R/m114FbxHts8SDb+mHbdjam/8AUNIxeYx6Zi5apn+= jRV2xH4NQeziyRkpF6/iXn5KTS01kAbGCSiyigAgSiyhAAEgk9ypPcCAKACKkvrwrXZ4SY7fM4L= NublyIh+jERTTFMR2QsNGW+uygLDnAFABJVJRZRAAAJCRYQAQAGQAAAECSrEllAAxlQEqnzJtlH= dJ70kGmW/XZEZJwEJ2rBCkEykosoy0gAiwEhIqAAAxrns4SVhx1zzLCYln3I1SyYDKYTgNEJUsE= xyKtuOZ5cpTHFPYNsRphsAFc8oso6Yc0AAACAAL+h9ejabl6vquPpuBaqu5ORXFFumnzzL5HcPw= UtNx8vfWTmXqaaq8TH/k4mPPVM9v8OHPy83wYrXj9Q3cbF8uSK/bu7on6PNN2RolETatXtUuUx+= 05MxzMz6KfRD8TpF6atB2vn16bhWZ1PMtzxci3XxRbn0TPpcvwjN45W19o0Y+n1VUZmoV+BiuP6= FPEzM+zj+LyRcrruV1V11TVXVPNUzPMzL530/gTzZnPnns9jlcnp4jHierOjXpq0fdefGkanjU6= dl3ey11qubd37O3z/Y/S1rR9Q2Nqt7ce2ceu/pN6rr6jptHbFP8AzXLceafPMfe8gW667V2m5bq= qprpnmmYniYn0u/OjTp0tYW3L2DuqK7+TjWv/AA92mOZvdnZTP2/a28z0ucU+/BG4/cMOPzYyf0= 5J7x+3fe3tYwNe0mzqem36b1i7HZMT3T54n0S6y6ceiezujHua3olqmzq9FPWropjiMiP/AKvt8= 7qHYPSlnaNv7I1HqU2tL1HI5yMSj923E900x5peuce9byLFF+zXFdq5TFVNUd0xPneblxZvTssX= rP5/+6dlMmPl0mr+fmVYvYuTcxsi3Vbu2qpprpqjiYmPS+/aGf8AFe6NNz5niLOTRVM+iOeJ9ju= L4U+y7Gn5ljdOn2abdGVV1MqIj+n5qv4xxH8HREvq+Nmry8EW+3hZsc8fLqf093bn0zH3bs3J0+= i7EWs/F/krnfEdanmmfbEvLWZ0Jb/sZVy1b0y3eopnimum7TxVHpff0Y9NerbU0+jStRxY1LCt/= wCynr8V249EemG/R8I/RvUWd9vbT73h4cHO4VprjjcS9O+TjciItedS6w0rYW5tpbu29ma5gxjW= b2pWrVFXXirmrrc8ex6B6bsqzhYWg5eRMRZtatZqrmfRzDp/pG6ZdO3Pd0KvH0rKs/Fmo0ZdcVz= T8uIiYmI4nv7XydMXS7ib32/Y0rB0u/jTTei5Vcu1RHHHdxxMtuTj8rk5KXyV1+dsaZsOCtorL0= 9r2oXtN0i5n4+Bfz5tUxV4Gz+/MfZHndW7r6VZv7a1KxXs7XbNNeNcpm5cszFNHNM9szx2Q0Lo/= wCnvO0bSbWm65p9eo02aYpov0VRFcxHpie/7372r/CG0fI03JsWdv5XhLlqqmjrzTFPMxxHPb3O= KnpmbHfU4/d/ntvtzKXr2tp2L0Y1TV0J6ZVxxE6ZVPsqdHfBU/nGvf1Wt+vtfpx0vSdjY+37uj5= dd61i1WZrpmnq8zz9vPndd9EO87WyN1fG2RiV5Nmq1Vbqpt1fKjnumOe/tdfH4WeuLNWa97fhz5= ORjnJjmJ7Q9OZeVZs9OGJj3JiK72lT1OZ9FVXZ7XX3wo9n7k1zVtK1DRtNzNRtW7VVuujHtzXNu= ZmJ7o808OvOkjpSva/vPTtx6JYvYF3BtU00TXMdaZiZntiJ7u1vui/CQtU4dFOraDcnIiOKqrFc= TTV9vbxw1Y+DyuPamWldzH6bb8nDmi2O06h1NpW0N06PrWnZ2q7e1PBxacy1TN2/jVUUxM1RxHM= w9LdP2PTl9HGPi1zxRezLFFX3TzDq3pF6ctN3Lt6nT8TSMq1doyrN+JuTHVnqVRVx2T9j5Ok7pp= w907Rt6Pg6Xk42RTet3PCV1RxHVie2OJ9PDflx8vk5Md701MTLXitgw1tWttu/MmnTNgbQpq0zR= Lt+1jUUW/A4dnm5X3RzPEfxmU2Hu+d03MumdC1HTP2aKJ5yrc09frc93Z5uPa6d2x8ImnH0izja= 3o16/kWrcUVXbNUTFziO/ieO1+pT8I/Q6e7QM6OfRNHvedf07kd4tTc/e3XXlYY1MW063+FDz5X= c3n6NY/wQ6vbb0tbrsbz3pf13GxruPbuWrdEUXOOYmmnjzNSfU8LHbHgrW35iHh8i0WyTMADraU= lFlFABAlFlCAAJBJ7lSe4EAUDvH0Ydrr19ae6EJn2xuX0Y1vwdHPnnvcoK4rTudgCwgAoAJKpKL= KIAABISLCACAAyAAASQglARkAAT3MO9lVPmYtdmysADDTZsANLsAZMfykoymEmBUASWUBISioAM= UnshxzPPazrnzMGNpbKpKLKMFCYAlU4Z2487HjmYcsRxHDKsJaRJVJZtYAMnPKLKOiHPAAAAgAC= nb5nb/RDpu6NjZGLvbM06uNDyObWRx+/TRPH8pNPojt9rVeheNqzvfFjdf+7cx4Hrf7Pwv9Hr/Z= z/AO72bNrGv4fgOpbrx66OIpiImmaeP7uHger8+ccxhmvafy9X0/ixePk33hpHSltDA6SdnW/2L= Ko8PTEX8K/TPNFU8d0/ZMT/AHPIevaRn6Hqt/TNTx6sfJsVdWuiqmf4T9sS9WZGPn9GedVk4Fm7= l7Sv3Ob+PRHWqwJn+nRH/J6Yj/J+H8IyjZWq7Isa3kZVqdQm3zpt6zMTXdjvimf/AC8+nu7XH6Z= y74LxjjvW3+zp5uCMse+e1oeX5+xFn+7vT3Pq9/TwphzYdqu/l2bVqmaq664ppiPPPL3jtLDvaf= tjTMLI/wBrYxbduuPtimIl58+Dl0Z5GZn2d2azjzbw7M84tq5Hbcq/5uPRD0v/ABfI+t8uuXJGO= v6e/wCm4LY6Te37dZfCZotVdFWZNyIni9bmn7+XkDzvSXwtNyWrek4W2bNyJu3qvD3qY81MT8nn= +MS82zHb2vV9DpanH3P7lw+pXic3Z2j0TdElzfehXtTp1mnD8Hem11Js9bns5555blPwbL31no/= /AK0//U2T4JX/AADmf1yf8MNY6VumDd+2996ho+nXcaMXHr4oiuzTM8fe4cnI5mXlXxYbfh1Vw8= emGt7w/I3R8HzXtOwLmVpWqWdRqt0zVNrwU0VT93bPLrbZ20NW3RuSdAwKKLeZTTXVVF2rqxHV7= 4eq+hDftzfW27uRmWqLefi3PB34o/dq57YmP4NM1HbmXp/wjKa9AyrWn3M/Tq8ia5tRVTE9sTHE= 9nmhcPqWfH78WWf6ojtKX4eK3tvT8S6R6Q9ia1sbIw7GszYmvLoqrt+Cr63ZTMRPP4tUl3X8JXT= NxV69t7D1DOp1TJv27lOPTasRRMfKp7OIjt8zm0b4O2tZWnWMjUNWxsW/cmmarMRNU0U89sTPHf= w9LD6jSuCt89o3LkvxLWyzXHH4dGt06POjbcG+MLKy9Hqxot41yLdfhbnVnmY5/udq/wDw3W/rH= Vx/+1Dn6Bdv7h0+dzaXo2uWcW3hanNmua8eK/CTTHET2x2dkNPI9VpOOZwWjcfbPDwrRePkjtLp= jH2ZmR0kWdk51+3ZyqsqnGuXaPlU0zMRPP297ZelzomubB0HF1SrWKM2L+TFjqRZ6nHyaqueeZ/= 5XYWz9gZ+rdM2rbk1HV7dd7StStzV1LfV8NVFFM93HERxMOyOl3Y0b+0HF0yrOnDixkxf60U888= U1U8f+pyZvVLVzY4i3bUbb6cKJx2nXf9PEvnlXb+3+hinVN86/tydZm3TpPg4i71O2vr0xV3fxb= TPwbaOJ43HVz5v5N6dvVeNWdTZyV4OWd6h57xrfh8i3ZierNdcUxPo5njl21vfoUu7b2Xc3F8e0= X4ot01zZ8BMc8xzxzy/B3/0a61sPV8G5mV2srDvX6YtZFrnjnrdlMxPbE8fwehOm/wDmTyv6tb/= wubl8+3yYvht2tLfg4se2/vjvDxyA9t5oACSiyigAgSiyhAAEgk9ypPcCAedRaKZqqiI879O1RF= uiKY/i4MK1MR16v4PpHNmv7p0gA1ACwACgAkqkosogAAEhIsIAIADIAAAFhOEZCKxJWWFUpMlYS= QGtugAF2ACAAsAApMJwoLEsSWXDE0uxJ7FmGFfoYz2IhhPbIvBw1y2IipJpEFWiOZNKtEedkvCN= kNciSqSskACK55RZR0Q0QAAAIAApzPPPa706COl6vTblnbe58ia8OrinGyqp7bU/8tXpp/u+10W= sfZ2OXlcSnJx+y7fx89sNvdV/QO5FjKx5oqii9Zu08T3TTVE/3vPPTL0M6jOTVqu1IuZON21VYM= 1TM25nv6nm4+x+Z0G9L1Wh02tvbku1XdN56tjIqnmbH2TP/L/c9MYeTYzMa3k416i9Zu0xVRXRP= MVR6Yl8laOR6Zl3/wDkvoKzi5mPbw5Z2Tuy/l041vQc6q7M8cdTzu4+inoJu2sm1qu8OpMUfKow= qJ57f/PP+T0LEdi9n3tvJ9az5ae2OzXi9Nx0t7p7uOxZtY9iizYopt2qKerTTTHERD8PfW6tM2l= oF/VNQuxE0UzFq3z8q5V5oh8nSFvrQtmafN/UsimciqmfA49M811/w9H2vJHSPvbVd7a1VnahXN= FmjssY9M/Itx93p+1r9P8ATb8q/ut2qz5XMphjUd5fm7u1/O3LuDK1jULnWu36+YjzU0+aI/g/H= 87Jj6X2dKVpSK1j8PnLWm07l6n+CX/wDmf1yf8ADDpXp/8A51tY/wCuHdPwTJjxCzI57f2yf7ob= pr3RlsvXNVu6nqekxfy70811+GrjmfuieHykcuvF5172jcPd+Cc/GrWJdb/BBxb9Giaxl12pizc= vU00VzH73EdvDbdTuUVfCL0q3FyrrRotyZp57IjrVe1tl/I2zsTbkUV1Y2mYGPTM0UcxHPn7I88= y6P6K90V7v+ELf1iYmmxVi3aLFM/0aIjs/zn+LRb3cm+TkRGo02dsFa497l2Zu/AsZvTRtSu/TF= U42Fk3qIn/m61Ef/wCpa58JreuubYxtMw9By7mDdyKpruX6OOZiPNHP3Mum3c1G1OlDZ+rXpn9m= ps36L/H/ACTVTH9/Etx3RtraXSdoWNcu36cqzRPXs5GPc7aee+OY/ulMesfxZMsbrr/vLK+7++l= J1L8P4N+4NZ3HsvIzNb1C7nX6cqqiLlzjmI4js7IOgz/79336Pjyv/NtnR9s7TNlaPXpml13q7N= dybkzcq5nmWpdBkx8e777f/wA8uf5tOa9L2yWpHaWdKzEUi35dbXNW1LB+FHkYWJm3rOPl6raoy= LdM/JuU9Snslv8A8KHW9W0LZmnZOkZ17Cu16hTRXVamImafB1zx+MQ6l3bqONpHwm7+pZdfUx8f= VLdy5PoiKKeZeiekLZ+j9Ie3sbDzcq5Tj0XYyLN2xVE8z1ZjmPNMcVS7uT7cd8GS0dtRtzYvdeu= SsT32899C+396b11fUdYx9yZGm0VTTRlZcU9au7VERxTx2ebjtdy6P0d7nwczHyb3SHqORVaqia= qZsRFNf2THL5uhmNE2trm4diY+ZzexMum5a8LMRXdpqtUTz9s8zMfwfp5nRnORrlWqRvPc1qJve= F8BRm1Rbjt56vHPc1crlzkyTqdV/XZswYorSNd5/fdwfCNx7dzo3u3q6ea7OZjTRPomb1ET7JY9= OH8yeV/Vrf8Ahc3wiKqZ6MMrif8A8Xi/9+hwdN8//Yplcdv/AIa3/hc/G3vHv7/9m3J/j/0eOgH= 3b5oABJRZRQAQJRZQgACQSe5UnuBHJj25uXIjzd7Dv/yfoYtrwdvt75VryW1DliIiOI7oJVJHJM= 7lABQBYABQASVSUWUQAACQkWEAEABkAAABAAjNKmMwsjCWUQx4RnwnCKxF4JFlAFIAEUAIUARYE= lUnuFSruYLMo1zLNJRlKIyYyLKTAhLOmOIY0U9va5GVYSZElUlkxRJUBA4EVzyiyjohogAAAQAB= f0ACweb7m47H6SN07RmLenZ03MXntx73yqOPs9EtOGrLix5a+28bhspe1J3E6d9WPhI51NiIv7Y= sV3I75py5iJ/9L8PcvT/uvUrNVrTMXG0umqOOtTVNyuPuniOHUE96OOvpXFpPu9rotzs1o1t9Wp= 6hm6nl15eflXMm/XPM13KuZfKDviIiNQ5ZmZnciedUlkj6MXPzsWiaMfLvWaZnmYormHN8c6t6x= yv1ZfCMJpWf0z99o7bc+TmZeTz+0ZN27/11zLDGv38a74WxdrtV8cdaieJ+3tcYyisa1EJuZ7v0= tOm9q+t4OLnZV25RcvUWpqqq5mmmqqInv7npWx0HbTs0xFrX9QtxzzEU5ER/m8s01VUVRXTVNNV= M8xMeaX2zrWs88fG2f6f94r97g5fEyZpj47+2HVx+RTHv3RuXsnR7W3ejjad+3c1jr2KJqvTXkX= utXVMx3R5/M8ga7uDMztwanqWLkX8ajNy7l/qU1zHHWqmYifu54fnZWfnZdMU5WZk36Y7Yi7dmr= j8ZfMw4Xp0ce02vO5llyeZ80RFY1EM7927euVXbtdVdyrtqqqnmZlzWdRz7PZZzcijiOIiLkx2f= i+ae5HoTSsxqY/Dk90w5pysqcicmci7N6e3r9aetP8XPTq+qU0xTTqGVxHdHhJfEE0rb8wVtaO0= S+rI1LUMi1Nu9mX7luZj5NVc8diZGoZ9+x4G9mX7lvs+TXXMw+ZJWMdYnel99vtAGTHt+gAElFl= FABAlFlCAAJBJ7lWmiquqKYjnkJnXdzYVrrV9ee6H3MbdEUW4ojzd7JXHktuRJVJGtABkALAAKA= CSqSiyiAAASEiwgAgAMgAAAIElWKSygAYaZwAGlRJUNLLEWYThdJAAml2AIoAkqMa57GUuOrv5S= ZZVhAGDMlFlEWBJjlWVMLEbSSI4UGetIJKpKiAAAA5pR906TqX0K7+B8Ual9Du/gx6rD5QxjBk8= ZfCPu+KNT+h3fwPijU/od38DqsPlB8GTxl8I+74o1P6Fd/A+KNT+hXfwTqsPlB8GTxl8I+74o1L= 6Hd/A+KNS+h3fwOqw+UL8GTxfCPu+KNT+hXfwPijU/od38DqsPlBGDJ9S+Efd8Uan9Cu/gfFGp/= Qrv4L1WHyhl8GT6fBKPvnSNT+hXfwPijUvoV38E6rD5Qk4Mn0+Aff8AFGpfQrv4HxPqf0K7+C9V= h8oIwZPp8CS/QnR9T+hXfwY/E+p/Qrv4J1WHyhfgyfT4R93xPqf0K7+B8T6n9Cu/gdVh8oPgyfT= 4R93xPqf0K7+B8T6n9Cu/gdVh8oPgyfUvhSX3/E+p/Qrv4JOj6pz/ALld/A6rD5QfBk+nwD7/AI= m1T6Fd/A+JtU+hXfwOqw+ULGDJ9PglH6E6Nqn0K7+CfE2qfQrv4HVYfKD4cn0+Aff8Tap9Cu/gf= E2qfQrv4L1WHygjDk+nwJL9D4m1T6Fd/BJ0bVPoV38E6rD5QvwZPp+ePv8AibVPoN78D4m1T6Fe= /A6rD5QfBk+nwD7/AIm1T6Fe/A+JtU+hXvwOqw+UHwZPp+fKP0Z0XVfoN78E+JdV+g3vwXqsPlB= 8OT6fnj9D4l1X6De/A+JdV+g3vwTqsPlB8OT6fnyj9H4l1X6De/BPiXVfoN78FjlYfKD4cn0/PH= 6HxLqv0G9+D79G2XurWa7lGl6Hl5dVuImvwdPPCTy8PlB8OT6l+A+3CtdWOvMds9zaLXRZ0gTcj= rbU1KI/6I97746NN9xHHivqHZ/5I96dZx/OGrLhy67VlqEjbp6NN+fVbUfyR708mm/fqtqP5I95= 1nH84/lz9Nm1/bLUkbd5M9+/VbUfyR7zyZ79+q2o/kj3nWcfzj+U6bN4y1Abd5M9+/VbUfyR7zy= Z79+q2o/kj3nWcfzj+V6bL4y1Ebd5M9+/VbUfyR7zyZ79+q2o/kj3r1vH84/k6bN4y1Ebd5M9+/= VbUfyR7zyZ79+q2o/kj3r1vH84/k6bN4y1Ebd5M9+/VbUfyR7zyZ79+q2o/kj3p1vH84/llHGy+= MtQlG3z0Z79+q2o/kj3nkz379VtR/JHvTrOP5x/KdNl8ZagNv8AJnv36raj+SPeeTPfv1W1H8ke= 86zj+cfyvTZfGWoDb/Jnv36raj+SPeeTPfv1W1H8ke86zj+cfydNl8ZaeNu8mW/vqrqP5I955Mt= /fVXUfyR7zrOP5x/J02XxlqI27yZb++quo/kj3nky399VdR/JHvOs4/nH8r0+XxlqI27yZb++qu= o/kj3nky399VdR/JHvOs4/nH8nT5fGWojbvJlv76q6j+SPeT0Z7+iP+FdR/JHvOt4/nCxx8vjLU= JRt3kz399VtR/JHvPJnv36raj+SPedZx/OGccfJ4y1CVhts9Ge/fqtqP5I96x0ab9+q2o/kj3p1= mDzg6fL4y1Ebd5NN+/VbUfyR7zyab9+q2o/kj3p1mDzhfgyeMtQ4G3+TTfv1W1H8ke9J6M9+/Vb= UfyR7zrMHnC/Bk8ZaiNu8me/fqtqP5I96eTPfv1W1H8ke86vB5wnwZPGWozCcNv8AJpv36q6j+S= Pevkz379VtR/JHvOsweUMunyeMtPG3T0Z79+q2o/kj3nk0359V9R/JHvOrwT/ihPgyeMtRG2+TT= fn1X1H8ke9KujbfdMcztfUOP+iPek8rB5QyjBk8ZajVLGe5tnk43z9WdQ/JHvTycb5+rOf+SPex= nk4fKGcYcn01MbX5ON8/VjUPyR7zycb5+rOofkj3p1OHyhl8N/qWqHDa/Jxvn6s6h+SPeeTjfP1= Z1D8ke86nD5QfDf6lqcR2s6extlPRpvyY58V9Q/JHvXyab8+q+o/kj3rHKwR/ihjOHJ9S1NJht3= k0359V9R/JHvPJrvz6r6h+SPevVYPKE+HJ9S1FJbfPRpvz6r6h+SPexno1359VtQ/JHvOqweUL8= OT6lqI23yab8+q2ofkj3r5NN+fVbUfyR7zqsHlC/Dk+mojbvJpvz6raj+SPeHVYfKE+HJ9NiAfA= 7l9Vo/13AG5NB/ruA3Jo/wBdx/ruA3If67j/AF3AbkP9dwBuTQAbkADcgAbk0AG5NABuTQAbk0A= G5A/13Abk0f67j/XcBuQ/13AG5AA3IAG5AA3IAG5AA3Izs2q71+3ZtUzVcuVRTRER2zMzxEPSnR= ptujbe3LViuiP2u9/KZFXf8qfNz6Ijzfe636Ddqxn5869mW5mxjzMWKZjsrr7uf4f3u8I557l7i= 8QnEehQTRxHoSIhQXRxHoOI9ACaTiDiFA1BxHoOI9ABo4g4j0AGjiPQcR6AF0cR6DiPQAaOI9Bx= HoANHEeg4j0AGjiPQcR6ADRxHoOI9ABo4j0HEegA0cR6HFc7Z47OHJXPEOINMeBeDg2aYzEJNLI= BjER6BlMJwbE4j0Jx9jINjEWYQ2aThOPsZBuTTHhJhlwG5GExw+TIudarqx3Q+q/V1aPtl8U0m5= GExEsZjtZzHCG5GCTDOYSYNymmHDOxb69fpiE877bFuKKOPPJuV0y47OE4Z8IbkYjKYRdyMZg/1= 3KcG5NMZhGfCSbkYi8BuTTysAwAAAAAAA83L93Y2bRh7jx6Lv8AscmJxrscdnFyOrz/AA55bx8U= 41didj0xa/aaaP23wkcfv9aeaef+mKQdV8T6DieeOHaVE4m6c7U9LomiLGnZNN/G7u2zbnqzH4T= z/BlmZGHk4V7eOPTbpqxLFzDimOOPCczFur8Oquh1XxPPHEo7Q06/jxp2JvXIi3cqt437LXTPHb= diY7fy9d8e6tIrxcG3pWl24v39ayf2q3TFUf7Oe2mO37eDQ68iJnujlz2LOPXj3672VNq7REdS3= 4OZ6/b3c+Zueh29R0/Z2RVo1mY1ejLqt5Xg45vW7cRHV447eOet3M5q1S9tzcV3WbFNvLnCsz1p= ppiuqPC2+Jq4nv8Av7TQ0KImY7p/AiJnuiXbs3KcW3pVrSZ1acKqxTM0YePbqs3KuPlRXVNcefm= O3h+Lk6j8VbW1jJ0e3OJ1tVot2pnqzXaiaa57JpmY83mk0OvJie7j+Dkx7dFd+ii/cmzbqniqvq= TV1Y+7zuyLcYubq+iZ+bRYrzb+l3LlE3eIpu36ZriiZ83PMUvz8XK3Xkajj0a1YuTjRlU9uRRHy= J7eyjnt4+40NGv0UUX7lFq54WimqYpr6vHWiO6eJ7mHE88cTy7FwLGVYytd1DHzMuxHxhVbmjBs= Rcv/AL09vbMcU/xfpahjWKN1eHs2qK9Sr0mL2NF+mmma73NUczHMx1uyPOg0DRdJtZ2kavmXa7t= FeDjxdoiOOKpmumnief8AqfnZtnHtVW4x8r9oiqiKqv5OaerV547e92BiX9yZGydxV65bvTRGPT= Fu5kU8XOfCUdkc9vH/ALOWzas1bhxaqbdivMo0mmrDou8dWq71OY7+znnjvUdZzE+iX6eLpFWdk= UWNMvxk3PAVXrkVUzR1OrTNVUdvfxES3PByNy5O2dxTrli7NujEnq3L9HFdM9aOynnzPv0fNy8b= WtNxsXIuWou6LVMUUzx1q4sT1f488cGh1VNNUTMcTzH2P29qadjah8ZftNMz4DEqu0cTxxVFUR/= m2bQbetRgZmq5WdqVvIuZXgrtOLj9fK5iIn5XMxxT2v0dUsUWtxapXTRVTXd0Smu5NVMRNVUzTz= MxTMxz90mh1Z9nasxMd8S2nZmkVWdc0vJ1bGt04mVE1Y03qo6lyqJmIifRHWjjtfv6de1/KydUx= 9zWqo0umzXNXhqYiiif6Pg//Y0Ot+J9EnE+iW9ajqeRiaHtnBpvTYxcm1P7VVR2TXR4SYmJ+zh+= tRf3PTvOzh4eNVVpETTFu3RTH7PNvj97nu59qDq4fq7vjjdOqRH0q5/il+UAAAAAAA/S21pGRrm= tY+m41MzXdq7Z7+rT55l+b/rsd8dCO140zSPjnKt8ZeXHyImOJot/+/8Ako3rQdMxtH0mxp2JRF= FqzTFMfbPnn75733ECgAAAAAAAAAAAAAAAAAAAAAAAADGvu4BKuKmCqDEWYQE4JhQGIsnAJwigI= i8HHAJwjIBiTxxzPmXhw36+I6sA4btXWr583mcfDI4BhNMMJpcvCA4pjhHLNLDqTM8QDPHtdavr= eaH1Jbp6tEQyBEleAGPAySYBjwksgGJMLMIBwADyoAxAAAAAAFpmaZiaZmJjumPM5f2rK8P4f9p= veF7vCdeet+Pe4QHJavXrM1VWrty3NUcVTTVMcx6CL16LM2Yu1xaqnrTRFU9WZ9PDjAcnhr3gPA= eFueC563U609Xn08Mv2rK69uv9pvda3HFFXXnmmPRHocIDms5eVZuVXLOTet11fvVU3JiZ++S5l= ZVybk3Mm9XNzsr61cz1vv8AS4QH0Wc7Ns2vBWczIt2/+Sm7MR+HLi8Ld8FNrwlfg5nmaOtPHPp4= YAOSq9eq6nWu1z4Pso5qn5Pn7PQ5b2fnXur4XNybnUnmnrXap4+7tfMA+izm5lmquqzl5Fuquea= 5ouTE1ffx3sasrJqu03asi9Vco/drmuZmPulwgPpvahn3qKqL2bk3KKo4mKrtUxMfxl9Wi5GFOo= UVaxdy6rMU9Wmuzc+Vb7OyY557vQ/MOI9EA2/I1nTsLQ87ExdUz9TysymLc1X6Zoot2+eZ4iZnm= eyGq05ORTcouU37sV0RxRVFc80x6InzOLzdoD6qNR1CiuuujOyqa6/3qou1RNX39va45ysqapqn= JvTM09SZmueZp9H3OEByVX79VFFFV65VTb/ciap4p+70OS/nZt+14K9mZFy3/wAtd2qY/CZfOA5= PC1V1W6b9dyu3RxEU9btinnt457m34Gp7ewsy1m2dY1eqzapiqnBqieJq9HW544/g0wnt88g+jU= cqvOz7+Zd4iu/cquVcemZ5fOAAAAAAOXFsXcnJt49miarlyqKaYj0yDauizbNW4tx25u0T+xY1U= XL0+aeO2Kf4vR9q3Rbt00UUxTTTHERHmhrvR7tyztvbtnEimP2iuOvfr89VU+7u/g2RkAAAAAAA= AAAAAAAAAAAAAAAAAAADGe9lKAw4JhlwnAMReAE4RkkggswgJwjIBiLwgJwKcAxqniOZfLXPWqm= XNfn+jDhBjMdiTDI7wYHDJJBjMOXHo/pSxopmqrjh9MRxHEAkwxlmcAwFmEBJgUBicLwAxOGSTA= JwHaA6N8lO7fmsX9WfceSndvzWL+rPuehQHnryU7t+axf1Z9x5Kd2/NYv6s+56FAeevJTu35rF/= Vn3Hkp3b81i/qz7noUB568lO7fmsX9WfceSndvzWL+rPuehQHnryU7t+axf1Z9x5Kd2/NYv6s+5= 6FAeevJTu35rF/Vn3Hkp3b81i/qz7noUB568lO7fmsX9WfceSndvzWL+rPuehQHnryU7t+axf1Z= 9x5Kd2/NYv6s+56FAeevJTu35rF/Vn3Hkp3b81i/qz7noUB568lO7fmsX9WfceSndvzWL+rPueh= QHnryU7t+axf1Z9x5Kd2/NYv6s+56FAeevJTu35rF/Vn3Hkp3b81i/qz7noUB568lO7fmsX9Wfc= eSndvzWL+rPuehQHnryU7t+axf1Z9x5Kd2/NYv6s+56FAeevJTu35rF/Vn3Hkp3b81i/qz7noUB= 568lO7fmsX9WfceSndvzWL+rPuehQHnryU7t+axf1Z9x5Kd2/NYv6s+56FAeevJTu35rF/Vn3Hk= p3b81i/qz7noUB568lO7fmsX9WfceSndvzWL+rPuehQHnryU7t+axP1Z9zbui/o6zNJ1irU9bot= TXZj/w9NNXWjremez/AFy7XAAAAAAAAAAAAAAAAAAAAAAAAAAAAJgEAAABOE4ZAm2EwcMuEFQnt= JhATgZJxyCBMcAJMMap6tMyzcF6etIOPnntThlx2IDGYYuROAYHDKYW3TM19oM7VHEc+eWfCgMV= XhAQmIAGMwjNJgGIswgJwKAx5F6oD9EAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAABJhQEFSYAADQigmkmEZIKxRlwcAiTCzCeYGFc8Q42VU9aWPAMZhO= JZAOOYGcwnAMXLRTxH2sbdPbzLlBjIySYBAA0nBwoIxF4BUSYUBjMIzlJgGIvAD7wAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEUBBZhJAAAThQR= OHHcnjsckzxHLhntnkVijKYAYpLKYSYBiccsuFojziLEcRxAoKgSAhMKAxFSQAATgUEYi8IKByA= +0AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AADhFAQXhjV2QDC5PPYw44ZT2gMUmGXCAgpwCRTyqxCgxF4QAmABOBTjkECQE4OFAYi8cpIALEc= zx6QY8R6B9NNFMRETADMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAACeQGFfazlhIMeEZpMAxCYATgjvVlERwDEWYQAAEmEZAMReEASYUBBS= YBAASXLZo/pSwpjmeH0RHEcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAASCSAIkwjJA2jGYZ8IKwVZgkBOABJgZckxyDEJjgAOOQBJhG= STAILwgCcKyojmoGdmniOfSzAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAACUWUAAAADQnCgJwjJOwGMwcMphAYi8JIKnEACTHAy+9JgEC= QBJ4UBi5qKerDGiOZ5cgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAJwKcAgSgKAAAAkwoIxFOBWMwjKQGKnCAqTAAhHMyyWinieQZ= UxxHCgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAcACcCpwAAAAAAGhJhQRiSpwKxRkAlMcy5OEpjiFAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAASYUB= BU4AAAAAAEQiO1VgIABQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABOFAYqqTAmwAUiFAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAACYIgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABJl= OQZDTcLpM2dk6vf0mdXt2MyzfrsVW70dXmqmZieJ7uOYbZjZFnKtRdx71u7bnuqoqiqJ/jDO+O9= P7o010y0v/AGztzDHmXX24OmTY2iajd0/I1C9evWqppueAt9aKZjviZmYYNjsMdfbc6X9l67l3s= fGy8izNmzVfrrv2urTFMTET2xM+mG0bW3Poe58a7k6FqFrOtWa/B3KqInimrjnjtj0A/ZCE5BQh= AUfgbh3jtvb2o4+n6zq1nEycmmKrNuuJ5qiZ480el+7TXFdMVUzzTVETEgyAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARTg= HX3T3uDVttbCu6no2V+zZVN+3TTX1KauyaoieyYmGodBPSpru7tw3NC1i1j1zTjVXov0U9WqerN= McTEdn9J+58KL+a6/8A1i1/ih1J8Fb+c27/AGdd/wAVt7XHwY7cC2SY/qh4PJz5ac6tIns0Hf3H= jzr0/wD6lkf92p6R+CnXXc6NL3hK6qupqN2mnmeeI6lHZH2PN2/v+Otf/tLI/wC5U9H/AAT/AOb= TI/tK7/gtvR9ViOhpP+jg9JmeutH+rcOmHVL+i9Gutali3Krd61ZimiqmeJiaq6aeYn/+ToT4PP= R9o+9Y1PU9xU3sui1d6lNPhaqetXMRM1TMTzPe9B9KGj3NwbB1jSbMc3L2PzRHpmmYqiP49V5l6= H+kS70bZuo6fqmm3rtm7VHXtR8mu3cjsnv7+6Hyj613XrnRvsraO2dX1nS9F5vU4dVE03Mm7NNV= MzHMT8r7I7nXvRX0h6bs7ox1jVLWjWLN65qMWbGPbuVzFyvwcTzM1TM9kej0P38zpi0zem39a0X= H0vLxrk4FdyK7k08dlVMeaftdM4el5mZ0SZOdjW67trE1eJvdWJ+TTNqI59oO2dM6VOlfWKbGZp= 2yZvYV2qIpu2cS7VRMc9s88uDVemXfvjjqOg6PoWPmXcbJuWqLVuzXXXxTVMd0T9jrHbeNtKq3h= V5W59Vxsjr0zVZoxYmmmee6J6/c37oxroufCX1e5RV1qas3LmJ9Mc1doNt6OemrLztQ1LTd26dR= gX8PHuZEzRTVTNNNEc1RVE90vxLXTbvzXsrJ8Vdo05eParjtt2bl2umO3jrcTx2tMytNydW6XN2= YGHRNd+7h5cW6I/pT4OOx+l0JdKOkbB0nP0nXNLzq7tV6KqZsUUzVHfzFXWmOAcvSJuPUM/Xdp5= e7drWKNSuWvlUXvDWqqIi/VEfJiqPNHLd90746VdP3BlYWibLvZem2qopx71OHcriujqx29aO91= /0zbowd37s2lren2cizYvWIimm/ERV2X6o7omY83pfgby1HI1TpBzsfdOr5+BjW+yjwdE1dTiI6= sRTzHZ3g7p6KOlrV9d3fVtXc+k28HPqiqLcU01UVRVTEzNNUVfZEu5YeP+gyjDt9OWlUYGVcyse= JvdS7do6tVf8AJV9sxzL2BHcAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAEuq/hRfzXX/6xa/xQ6k+Ct/Obd/s67/jodt/Ci= /muv/1i1/ih1J8Fb+c27/Z13/HQ9/if8tu+b5n/ADGjQd/f8c69/aWR/wByp6P+Cf8AzaZH9pXf= 8Ft5w39/xzr39pZH/cqej/gn/wA2mR/aV3/Bbdnqv/A1/wCn/o5fSv8Aj7f9Xbs88ur90bj6IK9= Xv2danS7mbZq6l2ZojnrefmY45do+d4+03buFurp0ztF1Cq5Tj3sq7NU0TxPZ6Hyj653ltXWOiC= 9qVWPo1Wk28m/RNrqzHbXTPfT2z9kNptWNmbb40WmjTcGM+Yq/ZquOL0z8mOye/wBDzj06dGWHs= S3p+o6Pl3q8e7XNNcVz8qmuO2mYn8U3NuLH1m7sDP1HAjMyJx6Lc3Kr1VM82780dvHf+7zyD0dO= wtmzd8LO3sHrTPPMUcdr9DB27oOBqd7VMTTMWzmXpmbl6mn5U8zzP3Ort/8ATbj7d1inQtC0r40= y7VumLnbMUxVMfuRx2zP3PxNC6c9a1fXbehahtjGxaciiumuJuVxVEdWZ7pj7AdtaRRsq/ruZq2= l/F1zUrMT+03rU810c9k8+ju4/g/J0Sz0a73y8rIwcHTc+9ZmPDTTRxMTPp4+50bsDc9ehWN452= ibe8Nf61u3Vbi7XXzTVcriZ4+x+d0Hbz1nbOrZFnS9Cq1KnPvW6L0xTV/Ix1uOfkx9s9/oB6hp2= ZtaJxZjQ8P8A8J/u/wAn9z5XW7P4zMuDd+ibOjEyNb3DpeFVbxrfWu366OJimPTw6t1vpo3ng6x= nYdnYlV61j37lqi71L3y6aapiJ/d47eOWGT0oW9+dFW7sXIwbeBnY2F1qrcXY+XEz/RiZ608cdv= Z2cwDsfYWD0f6j1db2phYFVdiqaYvWonrUTMTE+f0ct2h0p8Ef/gnUP63/AJS7rAAAAAAAB82o5= uLp+LXl5t6izZoj5VdU9kA+ka7477W9c4/tPHfa3rnH9oNiGu+O+1vXOP7Tx32t65x/aDYhrvjv= tb1zj+08d9reucf2g2Ia7477W9c4/tPHfa3rnH9oNiGu+O+1vXOP7Tx32t65x/aDYhrvjvtb1zj= +08d9reucf2g2Ia7477W9c4/tPHfa3rnH9oNiGu+O+1vXOP7Tx32t65x/aDYhrvjvtb1zj+08d9= reucf2g2Ia7477W9c4/tPHfa3rnH9oNiGu+O+1vXOP7Tx32t65x/aDYhrvjvtb1zj+08d9reucf= 2g2Ia7477W9c4/tPHfa3rnH9oNiGu+O+1vXOP7Tx32t65x/aDYhrvjvtb1zj+08d9reucf2g2Ia= 7477W9c4/tPHfa3rnH9oNiGu+O+1vXOP7Tx32t65x/aDYhrvjvtb1zj+08d9reucf2g2Ia7477W= 9c4/tPHfa3rnH9oNiGu+O+1vXOP7Tx32t65x/aDYhrvjvtb1zj+08d9reucf2g2Ia7477W9c4/t= PHfa3rnH9oNiGu+O+1vXOP7Tx32t65x/aDYhrvjvtb1zj+08d9reucf2g2Ia7477W9c4/tPHfa3= rnH9oNiGu+O+1vXOP7Tx32t65x/aDYhrvjvtb1zj+08d9reucf2g2Ia7477W9c4/tPHfa3rnH9o= NiGu+O+1vXOP7Tx32t65x/aDYhrvjvtb1zj+08d9reucf2g2Ia7477W9c4/tPHfa3rnH9oNiGu+= O+1vXOP7Tx32t65x/aDYhrvjvtb1zj+08d9reucf2g2Ia7477W9c4/tPHfa3rnH9oNiGu+O+1vX= OP7Tx32t65x/aDYhrvjvtb1zj+08d9reucf2g2Ia7477W9c4/tAbEAAAAiokjqv4UX811/+sWv8= UOpfgq/znXf7Ou/4qHdnT9oep7h6P72n6TjVZOTN+3VFume2YiqJl1D0TbX3zsfdVWtXdrZOXRV= j12JooriJ+VNM8/+l7/EvWeBfHvu+e5mO0c6uTXZ1nv3/jrX/wC0sj/u1PRvwUKqfJtk08xz8ZX= JmOe3jqW2h6/sfTdU1TJ1DN2vu/TruVkV3q5sWfDx1qpmZ7IieI5l8+l6Dm7XyqsrbO7NQ0nwXy= q7WqYlyxbq+/rRFE/xdXKy4+Txoxb1MacnEx5ONyZy63E7eo4eQdJ3Fp+1enfO1rVIvTi2cq7FU= WaOtV293ZzDunafSfmWqaLW7sOzZsz2RquHXF3EmeezrV08xTM/bMQ/Qy+iPo51rKuavc0yrIry= 6vCzdozbvVr588cVccfc+by4bYp/qfTYc1csbh0t08dJmm77tafpmgY+VNi3XNdU3qIpqqrnsiI= iJn0y/N3lo1/QMnYGnZFE0XYx6btdM/0ZrvzXx/6norbvRTsTQs2jMwNDo8Nbnmiq9dru8T91Uz= D9DdWwtsbn1bE1XWcCu/l4cRFium/XR1YirrR2UzET2+lrbnm/aeo4OzOm7Jyt1Waos8VU9aq31= oiaopmmvt83e5Nf1rStf6ebep6NcpuYdy31aaop6vbFmeez720dOuo5N3dlzTL/AEeWNWsWLVNN= nL6l6m5VT28R16JjmO9rnRNsfV9V6RsXUbm2cjRNKsxNddFcXOrxNEx8mquZmeefSD9X4N9EXNb= 3rR1evM2I4jjz9et+f8Hfdeh7YzNZt6vfps3smqmmxTVTz1qo57Px4d8aJtLaGwqNT1vT8WcKm7= b6+ZduX6646sTM/wBKZ475aTGgdD+q2s7d0abct/sNVORemqu7Z6szPNE9TmI4mY7OxlXHe3esN= dstK9rS6gz9067r+7tUjUt2Ro9Fu9XFEV0fJ4iqY6scefiH421I4yt1xTk05MfE1/8AlaY4iv5d= vtd22MXoY3xq93KuabXbuTbm/fvzVcx7dMxHNUVTExHPHbMti0fo26McbUtR03B029F6vCinI5y= r001Wbs8xxVNXHb1PN3fxW2K9Z1aNJXPjtG6z2fifBH/4J1D+t/5S7q4ab0VYG1dO0nNsbUxL2N= i0Zdy1d69ddcVV0VTTMxNUzzHZ5m5R2wwmJie7ZExMdlgIBQAACQJ7ux0b047pnO1CNBxLnOPjz= ze4n96v0fw7fxdk9Je5qdtbduX6Jj9rvfIsU+fn0/w73mu9crvXa7tyqaq6561UzPbMpIwAQAAA= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAewAGQA= AAAnBx2digMer297C5j2LkcXLVuuPPFVMS5QSYiXwRoulxeuXf2Gx17lHUrnqR20+jhho2i4WkU= 3Len012rNdXWiz1uaKJnv6seb0v0hfdKeyv0RHACMmFVqiqeaqaap+2FiiI7oj8GQDRumfS9c1j= aFen6NRduRduU05VuzMRcuWv6VMczEdseaZhpFvohzdf0y3GZqNWlWqevTbxpxKetRRMxxExFcx= z2eme53dMdvKw6cXLyYq6r2cmXh48tvdbu6b0ToOp029XXVujIv0VWqqJojGijrcxxHM9aeY80x= 547Hz2+gi5Tan/wCcMrwvE0xM43MRTPm/f8zuzt5Vsn1DkTO5t/tDCPTuPH4r/vL8LY+3adsbdx= 9IpzLmZNqZmq9XTxNczPMzw/diOAclrTaZtP5l2UpFIisfiABiyAAGF+7bsWq712qKaKKZqqme6= Ihm6v6dN0fsWnU6DiXOL+THN6Yntpo7+PvmeAdb9JO5bu49xXrsVTGJYqm3j0eiI75/jPLVwQAE= AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHsA= BkAAAAAAAAAAAAAAJPesAwj8qAM0AAAAAAY3OyiqY80cvK+78zIzty5+Rk3JuXKr1XbPmjnuj7A= JH5IDEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA= AAAAAf/2Q=3D=3D" width=3D"819" height=3D"1124" alt=3D"Imagen que contiene I= nterfaz de usuario gr=C3=A1fica Descripci=C3=B3n generada autom=C3= =A1ticamente" style=3D"margin-top:-37.07pt; margin-left:-87.55pt; position:= absolute" /><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhE= UgAAAYEAAABcCAYAAACIjglhAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwA= AD1tJREFUeJzt3X+s1fV9x/HXt7MmLr1bs243cXF1Ja1b2IqLho2kcVlcDTGsMY0rswQnm4lRY9= u1iwWNij87sXa2DH/iDybaGaNlDYpaZ6uiYkuhprWCglh+CEIR0CvcKwjP/dH34X743O853+859= 8DlltcjIeee7+fn93vI93PO5/v9ft6SmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZmZkdOYClHGgg= tp8OLAN2AruAZ4GLgLuy8k3zAVcl9e4CzsrK3pu1PbdGf08DlgP9QB+wsEm+XuAW4FVgB/BkkvY= o8F70+fFO6s/KTANejvreB9YBM7M8rdqsU34dQ11e1Tczs5aAHuA/4qSyBBgT218FfgWcC0wCvg= NsAe7JylfmizSA14GerPyZwDbgjJr9fbXkZDgvy/N54I1I+yXwbWB8pP1vbJ8D3Bl/L2yn/qytE= 4C3gT3AZcDZwLsxiJxW1WbN8ueV9GlzneNlZlYJOCNOLN9Ltu0GbsnynQ/cnW2rzBeDwC/im/CC= kvZX1uzn14EngVOA6+NbM2l54KQYhPYCt2fle+PbNsBxwPjkV0pvnfpL+nRJ5OlrDHDxy4j4JVT= VZsvy8f4p4Bt1jpGZWduaDAIrgPXAFyrKVuaLQeAFYFYMGl/N0usOAhOz9z+Jfi9Ptj0b254rKT= 890j5ItjVcWqf+kjrPSep4PLa9FgPeKTXarCrfA7wTx20L8DxwXp3jZWZWS5NB4DMxNz4APA6c0= qRsZb7GIBB/PwFsBsYm6Suz/POBrcAJFf1uXM+YE+/HRz8ANsU3+a3ATZF+d6TtSerYF9vurqq/= RT+WJyfyDbF/F9Vts6L8jQy1J782Y2bWsbJBIEmbGd/0dwIPtKijab5sEOiJawOLk/RavwRK2tw= KvJG8vz45UZ4D3BF/74659gcb75MyjRPyg1X1t+jH+Bh00pP0zZFW2War8hqc4voS8DCwPcnT8l= eamVktrQaBJM+9Mc/+REVdQ/Klg4AGL9y+C9ygDgeBuMjaB0xOts2P/dibbHsntj2Q3I2UnpAb8= gveQ+pv0Zevxbf5C5OT+W5gcp02W5UvaWs8sCb9JWFmNixNpoPKvhkvjimWnnby5YNAbPtG3Lo5= sd1BIO5C2gpMz7bPTU6wE2Pb+nj/KHBF41u0Bn+VNFxSo/5lHGh37NtuYFlStj/Sv1vVZlX5Jvv= /5Ui/pSzdzOxDXahjfMmc/NZ4PaaDfAcoiuJSSS9I+lY7nQJ6Jd0g6baiKGbFHTcPAdMkPSWJRr= +yomsk3SepX9JRcU3iU5HWL2l+Vf1FUZxcHOhoSZ+V9GFJvxP79aik9VHvezXarCpf5mlJA5Lub= +fYmZmVAq6Lb5YvAONiW1/M3c+IOelrYgpnSVa2Mh8wO+54GZeV7QFWtXPPO/BDhtqVpP84ti2P= 6wIDcVdN4/mHhZF+K3B741dC3fpL+nNxTH/timmdi+K6yHbg76rarCof1zkG4jjNAiYAjwG31T1= mZmZNtXhi+ME4Aa2Ji5A74n71sVn5lvmAl7L689swPweszrb9T0zHjM+2z6Xc60meMcCP4hbL3c= Ar2XWDHuAHcdLdBTzSTv1NjuEcYGO0tzOe/v3XOm1WlQemxiD7fvxbDVxZ79M1MxsFGk/GmpmZm= ZmZmZmZmZmZmZmZmZmZmZlZVyQLkjUsytJ3Jmn31qjvtHiY6Z0O+tL1SGRmZtZCEh6SeKBpTJY+= LR68mgccV6O+BfHQ2AdVeVvU0bVIZGZmViGClwykcXiTtLHAj9usb34XBoFhRyIzMztStbWAXFE= UiyUtlfQ3+S8BSf8uqeXy0SUG2sxfpk/SzZIm5ZHIzMysy2Kxtb15xKomYRonxhRSf6xn8wowJU= mf24VfAu1EImvZnzbavRZYGdNiL8RaPm8D36yTbmY2qsXCZRuS91/O17SPxdDWAS/G2vfTY45+S= +OaQZcHgZaRyOr0p412d8W1iDWxuufno+3+WOiuZXqn+2tmdlgALo+T3BXx/smSlTxnRZ5JybbZ= sa0R67drg4AqIpHV6U+bbW/PoqJdkN6JVJVuZnY46CioTFEU10jaIOkf4+S/tyiKpVm2T8br7mT= bwng9trPuVvZrgaQ5ks7Ll6I+CP1J61FRFLdK2ivpYzXTzcxG3HAiiy2S9BeSrpZUFnO4EfXqzG= TbR+L1oN210yIS2cHoz1GNP4AzI+rXG22km5mNTkBvTHm81iL9rQjgfmVEv3oRWJvkeQTYB0zts= A+1I5HV6U+bbW+O6wnnxTMUL0f9vXXSzcxGvXjga3aL9LOAFXF3TH+EcmwEdn8ge6r33Lhz52c1= 2+4kElnT/mgwQPzP4u/xceF4LTChpP3NwE+BX8ezE7+Mb/t102vvq5mZdaAbkciA59Owk8n2zem= F33bTzczsMBa/BO4E/rMk7bS4C2lp2e2lVelmZjZKxQNnqVXtpJuZmZmZmZmZmZmZmZmZmZmZHX= 5iFczU3njg6g3g2i62c2M8YJXHKzis1QmX2WrfgMnAM8DGOvnb6FftOsr2YbR+HmbWZbEUQyN27= xxgDDAz1snfA5w/0n0cScMNlxkPpX0AvN393tXuw7BDfprZb7FkCek5ybbbY9tjI9Cf8cCjh7rd= ZvJwme32LwLjjNggoC6E/DSz0eWoGnmqHBOve7tQV20RWP4uSbsOZbsV9ofL7LB/3Qi3OVyHQx/= M7BDpeCnpWBlzbizNvEfSQ1n65Fg5c1csofD9WHW04f80+O2XSJsIPJ7NST+WXHu4Azg3khZL+n= TEOyaCxjwebe2Nxd9ubNH/r8UidD+N6a1t0dc7gC8Bb8bUyPLIvy/aeUaD0dUA3mzSRN6/B0v27= ZRYSG4A2C7pj5O0do5FY8G85cDOyPMT4Py0jnbDXuZ9AGYAv4jVV/87jvV76XFu9hkAXwd+HuVX= xT5f3+zzMbPDUDIddMCyCMCMLF9vbJ8ZUyKNKaN74qS/Lgkx2QPcq8GlpffPSccyzG8DU4CpMW+= envhWAS9q8ITVD1wHnBQn141DdmKw7Nro04ZYkvrUGBTeAx6KKGXfjjwz46Lp9mQQGBsDwZtJnX= Oz6aC0f4/k8+2xounrMWBOB3Y0poPaORbAccBGYHEskT0nTrKrszoqw16m+1DSh01RfhNwS7S1C= lhX9RnEMtrEwnppTAczGy2SQeCW+Oa9r3ECz/JdVzJYEN8gJ8aa/uM0eOI4Pyk7PznpnBEnrgVl= K4KmJ9lk24XRzkDV/HrEIngpeT8X2JO8702vgQDrG4NAvP9h3UGgZN8ax/K8JP2AawJ1jwVwU5x= 8yxazy69TVIXFzPchL/8rYGnyfhGwtc5nEANOHoHOzEZQp9NB+4qimC7pGUn/BFyQpX9c0sZiqA= lFUTwh6VVJF0fevyqK4rak7P456aIovi9phqQxkhYCS4CTmnUKeErSNRG9a3GzfInd2fu9koqk/= S016mhHOt9+YrwuapKuNo7Fn0gaKIpiQ0Wb6iDsZV5+T/Z+X3rMKj6DvKyZjbDhhJeUpHMlvS3p= iiy61yZJvcCUNHMSZH2+pFPj7/xEfICiKGYXRXGipLNjcMnDRjbqvkHS30qaWhTFFw/iBeP8mH2= 4w3r64vWfs+1NL9a3OBZvSfp9YFrNtg9K2MtD+BmYWZfUvjso7nY5Id4eD/QWRbEGuFrSbElPAP= dJeljSPEn/IulG4HhJz0m6pPGttyiK/wK+Atwj6fKsqWMlfSgGkI9L+pyk+yKwfZ+ko5O8eyV9D= LhY0ulxgj4x2vwzSUcDPUVR9GVtCBgr6aOSdgMnxMC1v+2iKL6b/MI5LsJC7pT0iZiO+fv4Vv5H= wI6iKD6alJ9aFMV9Wf/+MNu3ByRNlvSVmIJ6RdInJP0e0C/p+DaOxd2Spki6BvhdScslTZPUn+9= T5P90TEOtl3SVpM2SZmXHv7EPaR9eltTzm8PHGEm/jl8QxwCnSupt9hlI+lSU9d1HZqNRyRPDaf= ze+/PtwLSYc38f2Ap8K6vvO8CibNv3sjbuioucr8edLCuB05P8d8Zc+DLgM3GxdyCmSmZH2pNN9= mdt0s6m5C6lhjnZ+/vjWkdf/HsYeCr28eom4TLT/uX7NjEuBm+Ii6+rgafjou03OzgWF0TZ3XFX= zsNN2mwa9rJkH5Zl77cmf6/N0gdafQbRLo27m7r839PMzOpw2EszSw33moCNIjGNdYykP3DYSzO= zI4jDXpqZmZmZmZmZmZmZmZmZmZmZmZlZTcBS4Kxh1tGVGLZ1YvweTO3uR5fiB4/oPpvZESyCmO= wBfjDSfdERGh/3SNxnMztMxDryeyKKVO2nTw9mXOAjMT7ukbjPZtY9HS0bESf9kyUtiJUhL6tZr= hF3t9na9cN1JK5QeSTus5l1SadrB10m6TVJ18aa8WVRv4bElJW0ukbc3bJYueM6iPHbWCphWdTz= PvBKHuOgnTLN4uQ2iQd8ZqzQORBhIa/M2uhK7F4zs0MulixuxLf9UZyML8jylMaUbRV3t0Ws3Ov= bjfEbsYvXxYl1UizbvA3Y0mz6qqpMi30qix+8KpZ9nghcFUs8E4NKN2P3zvV0kJkdMsC/ASuS9+= fEt/Qh4RzLYspWxN1tGitXbcb4jRjIAJOS9NmxbU6T+ivLNIuTWxKL9900XkLs9zMt8ncUu9eDg= JkNRyfTQV+U9OeNpSgjilgh6eSS+L91Ysqmc9qtYuW265PxmoavXBivxw6jTLN9yufmn5M0Hjg7= wj72xjLOzfIPJ3avmVlH2hoEgImS/lTSX6fR4yXdFCe4rw6zP3Vi5daN8bs+Xs9Mtn0kXld2sUw= zN0t6V9Kt8W+dpJlt1iE5dq+ZHQ5ijnxlhCzsydJOitCDfcAlMbd+EvAm8FKWd2VMjVwc0y+PxH= TSlCizLaZ9LgQmALcBNyVlN8T1getjCgVghwbn5vcBU4HemMN/B7gy5tlfBNa22MeWZZrtU9Z24= yLyz4F5LdpK93tctPsaMCaO3xJgF3AqMC8uCM8Azo/j0Bf59u9zZ5+smVkNcWJsyGMDb+JA9zeL= KVsj7u6QWLlJ2XZj/J4FrIi6+uOuo4kV+9m0TIt9KtuPZxlqG3BpSf5OY/e+ldVzbtc/eDMza09= 8m386wjk2to2LW0yfH9nemZkNOmqkO/Bbapakv5T02d9cO9daSRMk/YOkw2KZDTMzO0jigbclwA= 7gg5jbXwFcMtJ9MzMzMzMzMzMzMzMzMzMzMzMzMzMzMzMzMzMzMzMzMzMzMzMzM7PR6/8Byd7pM= vPUwqoAAAAASUVORK5CYII=3D" width=3D"385" height=3D"92" alt=3D"" style=3D"ma= rgin-top:-24.2pt; margin-left:247.2pt; position:absolute" /> = </div>La gesti=C3=B3n educativa digital = como estrategia para fortalecer la innovaci=C3=B3n pedag=C3=B3gica en la Es= cuela Sixto Dur=C3=A1n Ball=C3=A9n<img sr= c=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAkQAAAACCAYAAAC5fsMCAAAA= BHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAAC1JREFUWIXtzjENACAMADCmB0m= 7UcWNJPQwGZDQKmjk3KcBAHxojR63DwAATyi2JwQCXrA5hwAAAABJRU5ErkJggg=3D=3D" widt= h=3D"580" height=3D"2" alt=3D"" style=3D"margin-top:18.93pt; margin-left:-5= .2pt; position:absolute" /> Digital educational management as a = strategy to strengthen pedagogical innovation at the Sixto Dur=C3=A1n Ball= =C3=A9n School <table style=3D"width:426.2pt; margin-bottom:0pt; padd= ing:0pt; border-collapse:collapse"><tr style=3D"height:3.5pt"><td style=3D"= width:5.1pt; border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-alig= n:top">1</td><td style= =3D"width:185.3pt; border:0.75pt solid #000000; padding:0pt 5.03pt; vertica= l-align:top">Rosa Alexandra Elizalde Panta= </td><td style=3D"width:12.05pt; border:0.75pt solid #000000; padding:0pt 5= .03pt; vertical-align:top"><img src=3D"data:image/= png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhk= iAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAA2pJREFUOI2tlEtoXVUUhr+197n3nNzbJN6omdTWRmw= bikVq4iMxk0ZU2oGgA1FnQcQiUhUnFqo4cGIRQUGd+KDY+Jp25ouiGCOxElqjhba0URPzsPQmuY= 9zzj1nLwcnuU1qQif+mzXZe69/rX/tny2sgy9+7mknn99qrL1TVHcnqu3GyoKxTEhDxpIwuPho7= 9cL6+XKGqKJXXlJS/flCvJUGmu/c9opRpp31KkakXmxjLpE3p/+Y+bLg/vPRRsSfj7e/6JftIfr= 1cZ16v5znCVIFsW2XLleTd648Z/863v3nkjWEL59dp/fWSsfzOXNkShKacvfgnMRlXhqXdIVYt8= 3SRS5Q4tp/NbTvScbAAbghkp5nx/Yl+PQoamj96YX6O58HAX0qtWUrxDF6rUUvddaJfdws9DwqY= FSa0GO1SrpfucUVUXEZEk4UheywqMoqgmebcFIHlBEICjYnzR0Dz1y+8icl3Pp9jCUAdUsy9Ggb= +srLEVTnJk9xv07j2JNjlQboEqtMcfk5a/4a+H7rIoTVNkZJu5u4LiHYVCQthVC1FH0N5O6GETo= KHQzPv0O04sjWPHpKHRzx+bnaA+2MTFzFMTSiF17LvB6gOOeIj1mzdwF1RTFNWXX4jkWw0mMeMx= XT1GN/+aemw8zeflbKvEUIiLWsAPAqFJaNetrImeLzCyNoepoD7qaHlBoAzAC1Q2csSEEg4htqs= j2qGeEIr9dm0JR3PKrR2zreIDURZTrZ7NTBYdeBPAU+cY59zxCkElXjHiI2GY3pZbtRMkC1gZcX= 9hFV+lBTs98SDWexYjFGqkldT0J4EkY/ZovBb+klbQ/M65hMfqTWjwLCpeqE2wpDbKlNIjThEvV= Cb678BLl+jmMeNlcA3u+EiZjAKKKfDbe94zfYt4May4P4DRBEEQsTpMrwtXhtIE1PkZygFJss66= 64A490TNyZHmGaIg/7BI+DVoymaslG7HNsCZPzhaXO1PyviGqu+F6Xd5bKWoAhvacKC/N5w6kif= soKFh0jY1kVVxBodU6l/JJXE2ffXLgh6XVt5v44My9ra0NDrRsskNhLe3SVIPsmbLfBUBEIr9gL= 0T19ONKXH13aM94+erya/CqYm473bdDjb3LevSLcGua6iYRqtbI+SRmNCH58bHdo79f227/A/4F= 4WeWL1XZmjwAAAAASUVORK5CYII=3D" width=3D"20" height=3D"20" alt=3D"" style= =3D"margin-top:0.45pt; margin-left:-0.3pt; position:absolute" /><spa= n style=3D"font-family:'Times New Roman'"> </td><td style= =3D"width:179.45pt; border:0.75pt solid #000000; padding:0pt 5.03pt; vertic= al-align:top"><a href=3D"https://orcid.org/0009-0009-3301-332X" style=3D"text-= decoration:none">https://orcid.org/0009-0009-3301-332X</a></p= ></td><td style=3D"border-bottom:0.75pt solid #000000; padding:0pt; vertica= l-align:top"></td></tr><tr style=3D"height:17.05pt"><td style=3D"width:5.1p= t; border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top"> </td= ><td colspan=3D"4" style=3D"width:398.75pt; border:0.75pt solid #000000; pa= dding:0pt 5.03pt; vertical-align:top">Universidad Bolivariana del Ecuador (UBE), Dur=C3=A1n= , Ecuador.Maestr=C3=ADa en= Gesti=C3=B3n Educativa <a href=3D"mailto:raelizaldep@ube.edu.ec" s= tyle=3D"text-decoration:none">raelizaldep@ube.edu.ec</a><span= style=3D"font-family:'Times New Roman'; font-size:10pt"> </td><= /tr><tr style=3D"height:20.5pt"><td style=3D"width:5.1pt; border:0.75pt sol= id #000000; padding:0pt 5.03pt; vertical-align:top">2</td><td style=3D"width:185.3pt; border:0.75p= t solid #000000; padding:0pt 5.03pt; vertical-align:top">Segundo Daniel Land=C3=A1zuri Ram=C3=ADrez</td><td style=3D"= width:12.05pt; border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-al= ign:top"><img src=3D"data:image/png;base64,iVBORw0= KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxA= AADsQBlSsOGwAAA2pJREFUOI2tlEtoXVUUhr+197n3nNzbJN6omdTWRmwbikVq4iMxk0ZU2oGgA= 1FnQcQiUhUnFqo4cGIRQUGd+KDY+Jp25ouiGCOxElqjhba0URPzsPQmuY9zzj1nLwcnuU1qQif+= mzXZe69/rX/tny2sgy9+7mknn99qrL1TVHcnqu3GyoKxTEhDxpIwuPho79cL6+XKGqKJXXlJS/f= lCvJUGmu/c9opRpp31KkakXmxjLpE3p/+Y+bLg/vPRRsSfj7e/6JftIfr1cZ16v5znCVIFsW2XL= leTd648Z/863v3nkjWEL59dp/fWSsfzOXNkShKacvfgnMRlXhqXdIVYt83SRS5Q4tp/NbTvScbA= Abghkp5nx/Yl+PQoamj96YX6O58HAX0qtWUrxDF6rUUvddaJfdws9DwqYFSa0GO1SrpfucUVUXE= ZEk4UheywqMoqgmebcFIHlBEICjYnzR0Dz1y+8icl3Pp9jCUAdUsy9Ggb+srLEVTnJk9xv07j2J= NjlQboEqtMcfk5a/4a+H7rIoTVNkZJu5u4LiHYVCQthVC1FH0N5O6GEToKHQzPv0O04sjWPHpKH= Rzx+bnaA+2MTFzFMTSiF17LvB6gOOeIj1mzdwF1RTFNWXX4jkWw0mMeMxXT1GN/+aemw8zeflbK= vEUIiLWsAPAqFJaNetrImeLzCyNoepoD7qaHlBoAzAC1Q2csSEEg4htqsj2qGeEIr9dm0JR3PKr= R2zreIDURZTrZ7NTBYdeBPAU+cY59zxCkElXjHiI2GY3pZbtRMkC1gZcX9hFV+lBTs98SDWexYj= FGqkldT0J4EkY/ZovBb+klbQ/M65hMfqTWjwLCpeqE2wpDbKlNIjThEvVCb678BLl+jmMeNlcA3= u+EiZjAKKKfDbe94zfYt4May4P4DRBEEQsTpMrwtXhtIE1PkZygFJss6664A490TNyZHmGaIg/7= BI+DVoymaslG7HNsCZPzhaXO1PyviGqu+F6Xd5bKWoAhvacKC/N5w6kifsoKFh0jY1kVVxBodU6= l/JJXE2ffXLgh6XVt5v44My9ra0NDrRsskNhLe3SVIPsmbLfBUBEIr9gL0T19ONKXH13aM94+er= ya/CqYm473bdDjb3LevSLcGua6iYRqtbI+SRmNCH58bHdo79f227/A/4F4WeWL1XZmjwAAAAASU= VORK5CYII=3D" width=3D"20" height=3D"20" alt=3D"" style=3D"margin-top:0.45p= t; margin-left:-0.3pt; position:absolute" /> </td><td style=3D"width:179.45pt; bo= rder:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top"><a href=3D"= https://orcid.org/0009-0001-5773-5257" style=3D"text-decoration:none"><span= class=3D"Hyperlink" style=3D"font-family:'Times New Roman'; font-size:10pt= ">https://orcid.org/0009-0001-5773-5257</a> </td><td style=3D"border-t= op:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt; v= ertical-align:top"></td></tr><tr style=3D"height:23.8pt"><td style=3D"width= :5.1pt; border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top= "> </p= ></td><td colspan=3D"4" style=3D"width:398.75pt; border:0.75pt solid #00000= 0; padding:0pt 5.03pt; vertical-align:top">Universidad Bolivariana del Ecuador (UBE), Dur= =C3=A1n, Ecuador.Maestr=C3= =ADa en Gesti=C3=B3n Educativa <a href=3D"mailto:sdlandazurir@ube.e= du.ec" style=3D"text-decoration:none">sdlandazurir@ube.edu.ec= </a> <= /p></td></tr><tr style=3D"height:3.5pt"><td style=3D"width:5.1pt; border:0.= 75pt solid #000000; padding:0pt 5.03pt; vertical-align:top"><spa= n style=3D"font-family:'Times New Roman'; font-size:6.67pt; font-weight:bol= d; vertical-align:super">3</td><td style=3D"width:185.3pt; borde= r:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top">Lilian Susana Molina Benavides</td><td style=3D"width= :12.05pt; border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:t= op"><img src=3D"data:image/png;base64,iVBORw0KGgoA= AAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQ= BlSsOGwAAA2pJREFUOI2tlEtoXVUUhr+197n3nNzbJN6omdTWRmwbikVq4iMxk0ZU2oGgA1FnQc= QiUhUnFqo4cGIRQUGd+KDY+Jp25ouiGCOxElqjhba0URPzsPQmuY9zzj1nLwcnuU1qQif+mzXZe= 69/rX/tny2sgy9+7mknn99qrL1TVHcnqu3GyoKxTEhDxpIwuPho79cL6+XKGqKJXXlJS/flCvJU= Gmu/c9opRpp31KkakXmxjLpE3p/+Y+bLg/vPRRsSfj7e/6JftIfr1cZ16v5znCVIFsW2XLleTd6= 48Z/863v3nkjWEL59dp/fWSsfzOXNkShKacvfgnMRlXhqXdIVYt83SRS5Q4tp/NbTvScbAAbghk= p5nx/Yl+PQoamj96YX6O58HAX0qtWUrxDF6rUUvddaJfdws9DwqYFSa0GO1SrpfucUVUXEZEk4U= heywqMoqgmebcFIHlBEICjYnzR0Dz1y+8icl3Pp9jCUAdUsy9Ggb+srLEVTnJk9xv07j2JNjlQb= oEqtMcfk5a/4a+H7rIoTVNkZJu5u4LiHYVCQthVC1FH0N5O6GEToKHQzPv0O04sjWPHpKHRzx+b= naA+2MTFzFMTSiF17LvB6gOOeIj1mzdwF1RTFNWXX4jkWw0mMeMxXT1GN/+aemw8zeflbKvEUIi= LWsAPAqFJaNetrImeLzCyNoepoD7qaHlBoAzAC1Q2csSEEg4htqsj2qGeEIr9dm0JR3PKrR2zre= IDURZTrZ7NTBYdeBPAU+cY59zxCkElXjHiI2GY3pZbtRMkC1gZcX9hFV+lBTs98SDWexYjFGqkl= dT0J4EkY/ZovBb+klbQ/M65hMfqTWjwLCpeqE2wpDbKlNIjThEvVCb678BLl+jmMeNlcA3u+EiZ= jAKKKfDbe94zfYt4May4P4DRBEEQsTpMrwtXhtIE1PkZygFJss6664A490TNyZHmGaIg/7BI+DV= oymaslG7HNsCZPzhaXO1PyviGqu+F6Xd5bKWoAhvacKC/N5w6kifsoKFh0jY1kVVxBodU6l/JJX= E2ffXLgh6XVt5v44My9ra0NDrRsskNhLe3SVIPsmbLfBUBEIr9gL0T19ONKXH13aM94+erya/Cq= Ym473bdDjb3LevSLcGua6iYRqtbI+SRmNCH58bHdo79f227/A/4F4WeWL1XZmjwAAAAASUVORK5= CYII=3D" width=3D"20" height=3D"20" alt=3D"" style=3D"margin-top:0.45pt; ma= rgin-left:-0.3pt; position:absolute" /> </td><td style=3D"width:179.45pt; border:= 0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top"><a href=3D"https= ://orcid.org/0000-0001-7849-9444" style=3D"text-decoration:none">htt= ps://orcid.org/0000-0001-7849-9444</a> </td><td style=3D"border-top:0.= 75pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt; vertic= al-align:top"></td></tr><tr style=3D"height:9.05pt"><td style=3D"width:5.1p= t; border:0.75pt solid #000000; padding:0pt 5.03pt; vertical-align:top"> </td= ><td colspan=3D"4" style=3D"width:398.75pt; border:0.75pt solid #000000; pa= dding:0pt 5.03pt; vertical-align:top">Universidad Bolivariana del Ecuador (UBE), Dur=C3=A1n= , Ecuador.<a href=3D"mailto:ismolinab@ube.edu.ec" style=3D"text-dec= oration:none">ismolinab@ube.edu.ec</a> </td></tr><tr styl= e=3D"height:3.5pt"><td style=3D"width:5.1pt; border:0.75pt solid #000000; p= adding:0pt 5.03pt; vertical-align:top">4</td><td style=3D"width:185.3pt; border:0.75pt solid #00000= 0; padding:0pt 5.03pt; vertical-align:top">Esther Car= l=C3=ADn Ch=C3=A1vez</td><td style=3D"width:12.05pt; border:0.75= pt solid #000000; padding:0pt 5.03pt; vertical-align:top"><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUC= AYAAACNiR0NAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAA2pJREFUOI2t= lEtoXVUUhr+197n3nNzbJN6omdTWRmwbikVq4iMxk0ZU2oGgA1FnQcQiUhUnFqo4cGIRQUGd+KD= Y+Jp25ouiGCOxElqjhba0URPzsPQmuY9zzj1nLwcnuU1qQif+mzXZe69/rX/tny2sgy9+7mknn9= 9qrL1TVHcnqu3GyoKxTEhDxpIwuPho79cL6+XKGqKJXXlJS/flCvJUGmu/c9opRpp31KkakXmxj= LpE3p/+Y+bLg/vPRRsSfj7e/6JftIfr1cZ16v5znCVIFsW2XLleTd648Z/863v3nkjWEL59dp/f= WSsfzOXNkShKacvfgnMRlXhqXdIVYt83SRS5Q4tp/NbTvScbAAbghkp5nx/Yl+PQoamj96YX6O5= 8HAX0qtWUrxDF6rUUvddaJfdws9DwqYFSa0GO1SrpfucUVUXEZEk4UheywqMoqgmebcFIHlBEIC= jYnzR0Dz1y+8icl3Pp9jCUAdUsy9Ggb+srLEVTnJk9xv07j2JNjlQboEqtMcfk5a/4a+H7rIoTV= NkZJu5u4LiHYVCQthVC1FH0N5O6GEToKHQzPv0O04sjWPHpKHRzx+bnaA+2MTFzFMTSiF17LvB6= gOOeIj1mzdwF1RTFNWXX4jkWw0mMeMxXT1GN/+aemw8zeflbKvEUIiLWsAPAqFJaNetrImeLzCy= NoepoD7qaHlBoAzAC1Q2csSEEg4htqsj2qGeEIr9dm0JR3PKrR2zreIDURZTrZ7NTBYdeBPAU+c= Y59zxCkElXjHiI2GY3pZbtRMkC1gZcX9hFV+lBTs98SDWexYjFGqkldT0J4EkY/ZovBb+klbQ/M= 65hMfqTWjwLCpeqE2wpDbKlNIjThEvVCb678BLl+jmMeNlcA3u+EiZjAKKKfDbe94zfYt4May4P= 4DRBEEQsTpMrwtXhtIE1PkZygFJss6664A490TNyZHmGaIg/7BI+DVoymaslG7HNsCZPzhaXO1P= yviGqu+F6Xd5bKWoAhvacKC/N5w6kifsoKFh0jY1kVVxBodU6l/JJXE2ffXLgh6XVt5v44My9ra= 0NDrRsskNhLe3SVIPsmbLfBUBEIr9gL0T19ONKXH13aM94+erya/CqYm473bdDjb3LevSLcGua6= iYRqtbI+SRmNCH58bHdo79f227/A/4F4WeWL1XZmjwAAAAASUVORK5CYII=3D" width=3D"20"= height=3D"20" alt=3D"" style=3D"margin-top:0.45pt; margin-left:-0.3pt; pos= ition:absolute" /> = 0;</td><td style=3D"width:179.45pt; border:0.75pt solid #000000;= padding:0pt 5.03pt; vertical-align:top"><a href=3D"https:= //orcid.org/0000-0002-5262-1533" style=3D"text-decoration:none">http= s://orcid.org/0000-0002-5262-1533</a> </td><td= style=3D"border-top:0.75pt solid #000000; border-bottom:0.75pt solid #0000= 00; padding:0pt; vertical-align:top"></td></tr><tr style=3D"height:3.5pt"><= td style=3D"width:5.1pt; border:0.75pt solid #000000; padding:0pt 5.03pt; v= ertical-align:top"> </td><td colspan=3D"4" style=3D"width:398.75pt; border:0.= 75pt solid #000000; padding:0pt 5.03pt; vertical-align:top"><s= pan style=3D"font-family:'Times New Roman'">Universidad Bolivariana del Ecu= ador (UBE), Dur=C3=A1n, Ecuador.<a href=3D"mailto:elcarlinc@ube.edu= .ec" style=3D"text-decoration:none">elcarlinc@ube.edu.ec</a><= span style=3D"font-family:'Times New Roman'; font-size:10pt"> <= /span></td></tr><tr style=3D"height:0pt"><td style=3D"width:15.9pt"></t= d><td style=3D"width:196.1pt"></td><td style=3D"width:22.85pt"></td><td sty= le=3D"width:190.25pt"></td><td style=3D"width:0.35pt"></td></tr></table> <table style=3D"width:4= 36.35pt; margin-bottom:0pt; padding:0pt; border-collapse:collapse"><tr><td = colspan=3D"7" style=3D"width:161.75pt; padding:0pt 5.4pt; vertical-align:to= p">&= #xa0;&#x= a0;</td><td colspan=3D"3" style=3D"width:253pt; border-top:0.75p= t solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; ver= tical-align:top">Art=C3=ADculo de Investigaci=C3=B3n Cient=C3=ADfica y Tecno= l=C3=B3gicaEnviado: Revisado: Aceptado: Publicado:DOI: </td></tr><tr style=3D"= height:3.5pt"><td colspan=3D"7" style=3D"width:161.75pt; padding:0pt 5.4pt;= vertical-align:top">&= #xa0;</td><td colspan=3D"3" style=3D"width:253pt; border-top:0.7= 5pt solid #000000; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; v= ertical-align:top"> </td></tr><tr><td style=3D"width:50.5p= t; border-top:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">= <p= style=3D"margin-bottom:0pt; text-align:justify; line-height:normal; font-s= ize:12pt">C=C3=ADtese: </span= ></td><td style=3D"width:4.35pt; border-top:0.75pt solid #000000; paddi= ng:0pt 5.4pt; vertical-align:top"> </td><td colspan=3D"6" = style=3D"width:343.3pt; border-top:0.75pt solid #000000; padding:0pt 5.4pt;= vertical-align:top"> </td><td style=3D"border-top:0.75pt = solid #000000; padding:0pt; vertical-align:top"></td><td style=3D"border-to= p:0.75pt solid #000000; padding:0pt; vertical-align:top"></td></tr><tr><td = style=3D"width:50.5pt; padding:0pt 5.4pt; vertical-align:top"><s= pan style=3D"height:0pt; text-align:left; display:block; position:absolute;= z-index:5"><img src=3D"data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/= 2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQE= BAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCAAzACsDASIAAhEBAxEB/8QAGwAAAgIDAQAAA= AAAAAAAAAAAAAoBCQYHCAX/xAAtEAABBAIBAwIEBwEBAAAAAAADAQIEBQYHCAAREgkhEzFBUQoU= FSJhgaGR0f/EABcBAQEBAQAAAAAAAAAAAAAAAAcABgP/xAAlEQACAwABBAICAwEAAAAAAAACAwE= EBQYABxESExQhIggjMWH/2gAMAwEAAhEDEQA/AH+OjoVURO6+yJ1rraG1te6dwq72Ds3LKbC8Nx= +Msq2v72U2LDjjRWsYISIj5EybJK9kaFXwwyJ06WUUSJHPJKMT+iktsNWhCmPe4xWlKgJjWsOYE= FrWEEZmRTAiIjJTMxERMz1zc5NdTHvatKVATGtaYrWtYR5IzM5gREY/JEUxER/s9bE8m/dPf+U6= jzZ37ebe/wBvJPqvZPr9+qUKv13+EVtnKYgr9o09MeYsGLsm7w2MDCHueqMBMkx4N7YZrCrDEVq= LKPh7Tx2K48uLHCx5G1PZ96nPNTjlzXuM72saJfa3u2wkr9b4/bvstUZNqaYd8igybWN8xv5SdL= lwCLMiZcMayZk1TV11FEwDqyEn4vZznOvYtU3Zh415eYejRqbEHSdrSBAM1M+DDwywMFEtEvWET= IQ70g4Lo02e7nDclNayq/GtWZfGjdsZfrZXmQQ+fsXfEwQKmfwuRgpbMH8UHK5jpxJFRfdF7p90= 6OtFce+QusOSusqDamq8hBe43egarxIrR2dHZMYxZtFfQPNxa63ryuUUqOXu1yIyRHIeKYJyb0R= UVO6e6L0Z2a1mlYdUuIbVtVmGmxXcEg1LlzImtgFESJCUTExMf9/zpHq2612um3VeqxWsLByHKM= TW1ZxBCYFE+CGYn8THUPXs1y/ZP8+vy7r8v46U551zds+oj6kdfwkoclPiustaWwoc/wBnkgQ0g= 0UW+zTOp1cxRstLaNEm/oeOxpJECwyhG08MdlPKjF/LDlDgnEjS+Tbkz+PZT66nYOHV01QAhp9/= kE5HiqaUBfhPjwEnSkYM1jOUcOEFXnK56sQb1Uwcjsj2nuhfUU4wUtbRchMGGSbyE47lkybYOS4= gGGypm5thr3jBY32NTceFGr8yhQwpc4vYxA5CBpoz1mMbOzePqJLa5XXzhH4cy7kcd3bqwLNzuU= Wlh9Nj5ZBQv+uTSFti5rV7FlAuMPmGehru7sZjYx+NPvlPy6NPS3ciqZDdu8eQZxaWrx4+QvaIb= NUC+ZyksIAn448sTUvpXcJKjTpdPJpfHLKFJq1hTM3swNPsaRYOCjHX7cvRjLGHaIXvKGOA+LWh= IvwBQWRO4FqRqPSu31OzLMOHWyYg824zV9Re5jonkZJkADk2obqS8jq2lgxXtIa0DbzmDh5lgLn= RaiXH8smp7OqmtG017nD3lnrvmRqCp2rr5JcDyIlVlONWTVWyxTJo4QlsKaSZBjFOEL4zSwrGOi= BmxCCMoox1NEB09PkQ62JKsJ8kEWFDjmlTJUkjAgjRo4nFPIkGK5BjCETHEIR7msYxqvVUa1V6y= dbnnPOMXtfPu27b9Irsy4NY32bebsob+ujSMmiyvcHyap9CKvZQZrsJeghidK/g3COSUcq/TrVq= +euqMLZmQmtWv5bQ/eldCFejq8+BZ5YIvrtWJrYpsTMIt6F3vvz0pOWGR4FlCkmUFNksWi2zgwp= RT0WVY4RwXxsox74rRtjWaVMkdxQWKjEZ7XsgWTFCQ4mPG4dllLm+KY5mON2ILLH8ppa6/pZ4Xe= Q5lZaxRTYUhip5exAGY5U7r2VVTv7dIR+pTv3GeSPMLaexMJeOTiApVZieO2AhNalzCxeEKpdcs= VO7jgspgZEiCUni98F8ZVaxF8Ec84NYrkuL8PuOFDkX5mNc12pMQHOiymvHJivNWjkiimY5nkwk= YBhAcx3ZzFH4uRFRU6Wu/GOixgcE5hoVkZvKdyipW7XUuETYZFGq+XNTE/htcylUlI+0C0FEUwo= Igy7Kazq+5zPitGy7R43k2zdjuaRM+Bf3WphSznz/AFvD+z1/AyaiMBH5C66Wz7X+H7LxG+wfO8= frMpxPJa2TVXlDcRhy4FhBljUZhFERq9n+LvIRmKwwSowwSjKxr0TH538C9u+nHtqs3loe6yRuq= W5AywwrN69z5FzruzOVfg4tlhUG4MuAXyfChz7AJIF9Cd+m2wTSCEbLdsVO6dl+v9f6nv1iebYR= iew8WvMLzXHqrKcWySvkVV5QXcQc+ss6+WxRHiyox2vY9j2u/a5EaQb0aQT2Ea1yEXbzuJpcC0W= EC40cHQH4NvCeUTVv1i/UiETiQXZWElC2ePEjMqZBLKfVV59wGhzagESc0dqjPy5OunyL6romCh= ZkMiR1zKIkw8+Rn91+CifZfDhz61vFPFdTwcY2rgD9J5fUMky7eJrTCEkYFllzNO+VZ3VLX0Dfz= NNYXMwhps6BYxmxwyDO+DZyBr4C4C9Q71jcy5Q0djqLR1Xdaw09YsUOT2tiYIM4z2IqJ51c1K6Q= aNj+NmevhJrIsyVMt2NRk+WGGc9Y7tfff4e6lushsbvjluKPhdNPOSRGwbYtfYXUSkUxSPJGrcr= q3FtD1wGKwcOPaVM6eNg1SVbS3uUiZlxz/D/a1w69rsl5F7KkbWHXEjykwPE4MzFsVmSBK5Xiu7= kksmQ2ta9VYqxK8eOkKo1YeQUBCAVzztX+OmNdLmyHal/Uk5u1ePXE3LP070+DgFJakaxMW3z8b= bV+xXUQwSy8wEwL3czvzq0l8PcmhSzhAadjZqMq1gs1B8LmTepsvhZjMSQ1qiXnH6tHzJjNZHpQ= +nJfcodj0e39mUsqt4+4HcAs3JNA8SbKvqqQw0THa5DNahqAEwTX5JOGjxmAIlMBXSJciRAddjR= xx44QAa0IQjaIQhtRjBjGngwbGtVGtaxqI1rWoiIiIie3XiYximOYfRVeMYtR1eO47RQo9ZTUlL= CBW1dZAijYKPDhQYgxR4wADY1gxiGxjUan7e/yyPxT+f8Aq/8AvQR3H7hancXdnUuD9ajWEq+Vn= CXsFOtJ+0yZRAiyy+YgrDoGPeRARiFgIw19vuB5/AsWM+qf2L1khfqX5ARK1ZgYGBAZ9pCun9hU= v2nx5Iy8mZT1PR2Rfmnfo6Oj/re9R2RfmiL/AF0dkT5Iif10dHV1dT2RPknbo6Ojq6uv/9k=3D"= width=3D"43" height=3D"51" alt=3D"" style=3D"margin-top:4.23pt; margin-lef= t:12.84pt; position:absolute" /><img src=3D"data:image= /jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBA= QEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/= wAARCAAiAEEDASIAAhEBAxEB/8QAHAAAAgMBAQEBAAAAAAAAAAAAAAcGCAkFBAEC/8QAPhAAAAc= AAQMBBAUFEQAAAAAAAQIDBAUGBwgACRESExQhMQoVQVGRFxpSgZUmNjlWV1hhZnGSk5ex0dLT1v= /EABsBAAEFAQEAAAAAAAAAAAAAAAgAAQIEBgMF/8QANREAAgAEBAIGCAcBAAAAAAAAAQIDBAURA= AYSIRMxIkFRYXF0BzIzgaGxw9EkNDVScrKz8P/aAAwDAQACEQMRAD8A2orXcQ0nmj28eb0zaazF= 0K4ZPRoYrSfo8nKsyPlppc66b9okqqL6EeMVooTpKN5JcwiuX0GTFH1qtjsP7rsOxZvssVquh2f= QG1DsVVZVVxa5FSZlI1nLR0s4etjTT4Vph8gdZuiZJKRfOwbFICbUEUxEg5RcC/4OzufD99Jo4/= iabH8QAetBvo6ofuG5KeQH99lF8fd5+qZ0fj+r5fZ0TOdsu0Oi5Y9KMpTadLQIVLzjQ4FPOniRJ= SHGlIDRkgxYpeKgd2iBgH5MV9UgAZsl1+r1jM/o5m6hUI8aNP5aqzznT0JMtBmJpYXGRQqxCgVN= JYE6lDet0sT7mrUbNzI7oGY8LrRqN9oGFVzDJHVZ+Dok64r761TguHxCGOqUFmbxygsnEe7Kv2L= 0saxazAs00XDtRYOtp2K5z2677weoWe3Pd5muahyjkJSfczOvvWiIGZV2uoLNrKxjoVBtbquVo2= BUK7I+wQBwdyt70ArmAtiO4Bw5zLS9Xy3kchyta8N9ypjN3Wa5pLqfrsUjYYMhHiq0R7nYp2vpO= 3LROYfIrC1drJOYuUdMZVi6bKoGQgVJ4USOzmw+3XzntG8pE+Pe4vdRNYmsdT5RovFuoGFjXFFd= PaxZnjGJS8xziRF8594W8SBimagRMpjjZqBVOlYWsy6SQeotfkb+O2w8CZwtcy7x142ScsElTM9= wSNoUe002ThoOy8g62hucvE59XLFOovvyTNE1ZpM0qSCBdRsmRYWkao4kE1XbNsDlXp5X3c9fB7= iNg5Dcdq7Q8l5CZ5pt/wA5ulMvwWeSWaZdW1bPNJSsAuwauGPtWhUGyRVVE1BXdoGSBYhHPsO5m= faAd5hJTrbOOQVdLlU620RpGQctgeXzt4jorQYCchFGiGxFRRuqiMeWaExDMnzEjpmkpHAVu1dK= lBnuu2TSj1rhrQrfrab6E4n59rtPmI88O3i3OiV3UqyjXZR6ZUZsytaTimjZdUXCQSZDmEwmVa+= yE/SYQL7KLb6jZiQLdg5MTtzNuVzfCwmZnmry73Tifqm4TPG2Oy3jnPY3f7dV73XduGN1cY1jHO= xrr6MQjYkX0E7mF0CGbyiSPtWKKhXaaCqYpmUhtp7nOscdssyX6srnHuy1tLjnj1/SaapyrgIrd= 7ChMZ3CTMoRxWJVALBYJxV4d82ZSJ2QPLS4SF83aGUdkRFwZX29dLdYdYcXpXP5zpXFmy0C+Z3T= 6q1o9JskfDRc39ZRzAW98hphV7MhUZEyiYNEXzduKjM8aBGSCJW6Cb1ns9ViAcHnz8rqVm7G75d= kmH2VxqGS5lakpeYotBi83i16JOXuQB9S5ayR8Ok7bx9ZfIzRZIxjtpFyZqz90YCDexIALbWD3s= NIF72325AEb+AwsL785ByP+QW9/taF/wC/o6Wf5tvBfztF/wDK5t/7Po66/he1/j9v+ue6yxU/g= YPjt2dzwv8AUmj/AB/bX2fZ8utBfo65wLR+SgD/ABsonyH4AH1ROgPn7vmA/q8fPx1FOG/b/wCU= 2O4bydwfZ8MsrmA5Fw1eiC2PNNGxmSmK2nEGfA4UUjbPdoVmsdYHpTpKJulwJ7ESGbj6wMR/cSe= HvIzgi9tsljco+m6lcZOJWsOa7bnyaD6QLGAKKLmO0PD7Rq5Yd2Rs6epou3VUcRJTiUZNm3SArs= CIz1mnLtUlfSXS5GqSkeLXsyUmq0mPDi8WUmYEnLS6xhx4QicJyysqrGWGCbXYAXwM2S8u16lTu= QanN0mchS9GpFRkKlCeCyTEtEmo0w0I8OIUMUWiIxaEXAUnYkEY7HeWpFX0vWe21n9zjCS9Ru3J= 5CrWiLUcOGhZKCnX1OjZRkZyzWbu25XLJwsl7Zs4QXT9frRVTOBThQDkLlmc8GeflhzLjXBFjcy= 07gzvMnqOXuZyfmq7JFi8u1uwJIzSi8upMoNFX9Mr7sPd5dm/bFUce4vWqMir7TbLkTxPznuIV7= Mm+uOtcxmz5dLSFliGVYlYeOk0JaTRaNFX0bZRj5djKMUTRyTmPcRykdMMvWkMzGw74/uKUbxzt= DcbMfb648Rsmp3267BmloyiX0TQrO2sNrgajb4s8TNJVxY8aixav12opEK/dsnq6aaINSiDNd03= XHNTw10OekodCgswJLbHUCV2BvcXFxsSDuS0OIsVFiISUcXW4Km3LcNYg7bggEHawtijmFcw+Wm= hnx/jJxFhcHzxnmHDLOdjvMppMfcpWOAJeHglGtbqLNpKOpIWzJvNRqKKsi6kFj+h2o9lfbEQSd= JbNuTe1cotqwO8q1/H4zer7wa5DPG+gPIW3jHwxavpmuVoIhvCM7Z9XmiXcRCKqKisxcSQyTxRY= kgm2BNqk8+YXCC0US1ZTFcbOPHKW5TdCwKBy0d2xLkNRchkZuBiTvY1hTbvHzMUc0u4YtmMbIPZ= GPbsG71u8bMzFEI5EqD34ZcAoHjVkuIbvyKlJqvahiWBalSrjW2slHy9ViqdeLXeb3NoygRrB69= lLDFMbY6ZOXENJrsV3KHs2SbsPQstIWKjSoZ3OlVUaojMQbDSCSdZsAAAb2t2YdmVFZ3YKiglmY= gKoHMknYAdZOwxTfhlum58Ze2LRdFm91wfNaTPXp5WccNasx0a7zST5xoWmrXiGmoqkuHsnYZaa= kGiL2tHiGCDeKi2b4kmC6qiKhUfq3O7TOWeazGeaU8pFpVxrmdxDd1zQKNULtn7CzQtzlLGqdB7= Tb+g1skU8jHUSZMVXbZuV0C6nu5F2ibV+8uU74hcFq1TYvHEOQHI13BWG5QGq5jFx90bnWwiwQ0= 7JGaSdOKtGN06mhZy6A+mlXbhF6lPRMGFkavFDR7V47l8PwY4UtjW1y85M7JqdsumpYjb5mSsNx= gLJd5a7ZTLzLCn18VXVdQdrqpGkHTKejnZivWUbHNhI4Yt2ignsNLxkAiNLRgHZih4LKp0xFTY2= 5XBG9tyT24prU6e7MqzkuWXTqXiKCNSCIBYkEkoQ1hcgcwDfG2voJ+iX+6H+3R17fcC/oPf8Iv/= AA6OqOhuz4j74tcWH+8fHu7u8YlfgPSHw+fp8/0/EOvyHxIbz8fn8/j9gdHR1yHrt4fbDjl70+S= 48qoB4IPgPIHDwPj4h5AfPgfs8+R+X39dUvyD+wP9Ojo6n1L/ABX+oxJeQ8B8sfeqrcyQA2FzJD= ABiKXHK0lCCHkqiamoU4iiZyj8DEOQRKchgEpiiJTAICIdHR1cp/56U8xC/uMefV/0uoeUj/5th= NoZ9QpORi30lSKhIPW8XDFQePq1DO3SBW5myjcqLhdkosmVA6ih0QIcoJHUOYnpE5hGYxmf0Nvp= qc23pNRQmT2hw7PLI1uGSkzOiERAjkz8jIrozgoHMBVhVFQoGMAGDyPk6OtA3sG8n9FMYuD7dPO= r/qcXT8B9wfgHR0dHWXHV7vp43I6vd9PH/9k=3D" width=3D"65" height=3D"34" alt=3D"= editorial1.png" style=3D"margin-top:41.99pt; margin-left:-0.15pt; position:= absolute" /> </td><td style=3D"width:4.35pt; padding:0pt 5.4pt;= vertical-align:top"> </td><td colspan=3D"6" style=3D"width= :343.3pt; padding:0pt 5.4pt; vertical-align:top"><div style=3D"border-top:0= .75pt solid #000000; border-bottom:0.75pt solid #000000; clear:both"> CIENCIA DIGITAL, es una revista multidisciplinaria, = trimestral, que se publicar=C3=A1 en soporte electr=C3=B3nico tiene como mi= si=C3=B3n contribuir a la formaci=C3=B3n de profesionales competentes con visi=C3=B3= n human=C3=ADstica y cr=C3=ADtica que sean capaces de exponer sus resultado= s investigativos y cient=C3=ADficos en la misma medida que se promueva medi= ante su intervenci=C3=B3n cambios positivos en la sociedad. <a href=3D= "https://cienciadigital.org" style=3D"text-decoration:none">https://cienciadigital.org</a> La = revista es editada por la Editorial Ciencia Digital (Editorial de prestigio= registrada en la C=C3=A1mara Ecuatoriana de Libro con No de Afiliaci=C3=B3= n 663) <a href=3D"http://www.celibro.org.ec" style=3D"text-decoratio= n:none">www.celibro.org.ec</a> = 0;</div></td><td style=3D"padding:0pt; vertical-align:top"></td>= <td style=3D"padding:0pt; vertical-align:top"></td></tr><tr style=3D"height= :23.65pt"><td style=3D"width:50.5pt; border-bottom:0.75pt solid #000000; pa= dding:0pt 5.4pt; vertical-align:top"><img src=3D"= data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAE0AAAAcCAYAAAAk2zLiAAAABHNCS= VQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAEy9JREFUaIHVmWl0VFW2x3/n1q0hqaSS= ykASggmQBIKMTgFBmcQgEWVwAFyQbnCKiKLg0GlYikRabWlUXstkg8qMSGPLIIgoqCGSEMUOEAk= EiSQVw5BQSVVqvud9qKRIGHT1h7fe6v2l1rr3nnP2/p89/Pcu4fV6ZXVNNQFNQwgQAkDQTmTwRw= iBlDL0WLT9TkgkV4qUMrRncK0gdIIQIIPrROs5gsv2ka2ftTm39WzRVr1LLy9X/Coi5KUPZXsz2= tkjkSAlWkCjS+euKDoFUVtbLR97Io9Ro+9Gol0VrFZLBCL0SLRuKAhaJK7E+gqRbQyVEk1KpNQA= gaooVzdcXGZ4G52kJtE0iSYkiqIghGivhuDqwElAKiAlAakF70qAIpRL1yBEEDgpUYTCF7u/4C8= Fr5GenobqcDaTmtqZ+Pj4K0FrNS4g8Xp9uN1uPF4vfr8fRVFQVR3mcDN6gx69qkMov4OaBCkFXq= +XhoYGLjbacTQ5EEJgsViIjo7GYrFgNOiDFgvgMp00TcPv99PQYKexsRG73Y6UEovFQpQliqjoK= IwmU4su8grQhBAEAhoN9Rex2+00NjXh9XoJDw/DEhWFNTqasLAwVFUNnS0QdE1L49Spn4OgISVC= 6EIbtgVLSvC4vNSeqaGsrIyTJys5f/48TqcTo9FIlMVCp+s60bt3LzqndyHaGo2iU1v2usw5JEh= N4/z583x3oIgfD/+I3+fHZDKhaRoul4tISyT9BwygT78+REVHo+hEu5SgaRK73c6/f/g3Rd8W4X= A4CAsLR6dT8Hg8KIpC3xv6MfC2QcTGxYDSEgAiGCkSidvl5vjRn9j7xZecP3+OsLBw9Ho9bpebg= AyQkZ7OkKFD6JTSCaFXg54uW8HXEEKgQmtYiFD+aXmN/aKdvZ/v4ZuvvsbtdhMTE0NiYiJms7nF= W+opKT7EgcIDdO7amXH3j6dbZncUnQhGrBAgBUIG9z5fd4H3V67C5XYzZsy93DniTgwGA4qiYLf= b+ec/t/Dlnr2cOHmSsePHYo2zoopLYVtfX8+nWz/ldOVpBg0cyIQJE4iNjUWv13P27Fn279/Pv/= 71CceOHOWP0/5IYnJiKFY1wOlw8c1X+9mz63OysrJ44fkXSE5Oxmw2U19fT1lZGWvWrGHZkmVMz= p1Ct+szUQy6lhtv460nTpyQi9/9O4OHDW4Jz2Ac2+1NrFq+kiNlZXRO7cykSZMYM2YMVqsVo9FI= IBDA5XJRXl7O0qVLKfz2WxRV4Y+PTOOmW25CUQSCVsDA4XTw1puLkJrkgw8+ICMjA4fDwcsvv0y= 3bt145plnaGpq4ptvvmHu3Ll0Se/M+AfGE242A+Byudj68Sec/KmC+fMLGDZsGBEREVy4cIEDBw= 4wevRo3G43J06c4NFHH8Pj9TD7T7MwR5gRQuDz+Sj8upCtm7cye/Zz5OZOwWw209TUhN/vJyIiA= lVVOXfuHPl/yqewqJAZT8+gS3pXEFBcdJDhg4czcuRILl2jFKEU4HG5+eC99/nh+x8YkNWfzZs3= 88wzz5CZmUlSUhKxsbF06NCBlJQUhg8fzqqVK5k3bx5CEyxfsozyI+VI2eqxEolk/779VFVVsWr= VKnr37k14eDhOp5Nvv/2WL7/8EiklUVFRZGdnM3vWsxz+/jC2MzWhNGGrtvH1l/vJybmb2267jc= jISM6dO8eGDRtYuHAhxcXFSCnp1asX77+/irN1dXy+a3co5dTZ6ti2dRtTp04jLy+PsLAw1q1bx= 3333cddd93Fww8/zIEDB+jYsSML/7aQ1JRUdmzbgdPhIGRMi7u1K1kSgQzAns/2cKi4hL59+rB2= 3ToyMjIICwsLVaigIcEN9Ho91pgYHs/LY+Giv+FxeVixdDkX6+3Be1Cg2eVi2yef8tijj9G3b19= 0Oh1Op5Nz587xyCOPMGHCBEpLSwEwGAzcO2YsfXr3Ydsn2/B6AwQCkk8/+RSHw8Hy5cvJzc1l79= 69ZGdnM3/+fGpqasjLy+Onn35CVVV69OjBww8/zO6dn+N2edA0SUnJISwWC0/k5WE0Gti+fTvPP= vssNpuNpKQkDh48yIQJE/j+++9JSEjgpZde4tSpU9hqbG0i83LQWopVXV0dO7bvJDIyks2bNxMX= F4eUEr/fj9/vR9O0NoVCEggE0DQNRVGYOHEi06dPp/5CPV/s/hwCAbRAAJutBq/fy7SHp6HTBYv= OmTNnyM3N5bnnnmPq1KmMGzeuJacGK+mQIUOpra0LnhsI8MvPVeTn51NQUMDp06d58MEHqaioYN= q0aezZs4etW7fSt2/foFGKwkMPPYTb7cFWa6O52cmpylPcOWIE0VFReDweli5ditVqZcOGDezcu= ZONGzcCkJ+fD0BaWhqxsbFU11S3UK1L0LXxNIkUUFR0AKermZkzZ9KpUyc0TePs2bOUlpZSUlJC= dXU1gUAAj8dDZWUlRUVFHDlyBLvdjhCCF154gSiLhYNF39HYYEcIcDW7UBWVzqmdg1yqxVs1TQu= B33oZrUZnZGTg9XrRtACBgB+vz0dWVhZ5eXns27ePhQsXMmjQINavX8+ECRPYs2cPlZWVNDU1Ia= Wke/fuSClpamzC7fVit9u5vmdPVL2Kz+fDYDDQu3dvkpOTAejWrRsmk4nDhw/j9XoxGg2oqorL5= UZqsg37k6htOAY+r5efjpajCoUpU6agaRo1NTXMmjWLY8eOodfrSUhIYMWKFZSWljJ//vyQd+Tk= 5DBnzhzi4uIYNGgQ+77ex69n67DEWVv4WdArW6mNwWDAYrGg0+mQUtKxY8fL6E5wX0UoQdIpRIg= fxsfHM3XqVHJycigpKWH16tXMmTOHDh06MGbMGB544AE6derU0k0ooYsKBAIIITCbzSxYsAC/30= 9sbCyKohAIBNp1O5p2iePJdnxbtg9Pp8OB3W4nuVMn4uPj8fl8vPvuuxQWFpKXl8c777xDYmIiz= c3N5Ofn43K5ePvtt3nyySexWq2hrW4fPBiv18vZc+dAQlRUFJqmcezosRAgiYmJzJgxA7PZjE6n= Y8WKFaGkrWka5eXlmMJMKIqCTtURYTZz5MiR1pigsbGR9evXY7Vayc3NxWg0oqoqu3btIjc3lye= eeAJFUULV3hpj5VDJITweL0IIli1bxssvv0x5eTn19fWUlpbicrm49dZbMRgMuN1u3G43kZGRKE= K0CU7RxtOQuFzNuFxu0romoygKfr+fkpISLBYLd9xxB5mZmdx44414vV6qqqrIyclh8ODBDBgwA= CEERqMRRVHo2bMngYCGo7EJpKRDQgciIiNYsWIFi3svxmg0EhERQXJyMnq9HpfLRd++fUNhe/bs= Wb766iuuu+46DHo9UkDnLl1CgCQmJlJfX8/27dv58MMP8Xg8pKWl8eqrrxIfH89HH33E2++8TaQ= lkvgOcegNerp378Y3+77m7NmzdO6SSlZWFtu3b2fq1KlkZGRQXFxMbGwsc+bMwefz8eOPP+J0Ok= lJSWlD+hVAtHpaEEedTkFRFNxudyiMjEYjXq8Xj8dDIBCgsrISn8+HTqfD4XDg8/lwOBzU1dXh9= XqRUuJ0OoPMWa+iIDCFGbnvwfvYtHkTu3btaldMaNOJtK7duHEjFSdOcPe996JTdSiKYPSYe/jl= zC+sXbMGp9NJcnIyq1evZt68eXTp0oV169bRv39/0tPTufmWmwloGqPH3oPRaECniOAzJPML5uN= yuZk4cSKvvPIKVquViooKhg4dysqVK7npppuorq7mlVdeIS0jnYTExFBv2ipqKDaB8HAzEWYzNp= sNv9+PXq9nypQpzJgxg9mzZ5OWlsYXX3zB4sWLGTp0KMXFxeTl5VFXV4fT6WTr1q0YDAYOHjyIq= qpER0WHpgRZWVkc/fEIM2fORAhBdnY2ycnJTJo0CY/HA4DD4WDt2rW8/c5bDBk2lMTkDiAkioCE= pARG3HUnS5YtwRRmYurUaXTs2JHhw4eTkpJCx44d8Xg87Nq9m2dnPUu/G25g2LChQX9QBNb4GCY= 8NJEVS5Yzc+ZMXn/9df7whz8wceJEAoEAqqpiMpmoqKjg0Ucfxe1xM278OAwmY7spCIDuqadnzC= suKaZzl86oqo4fSn/g1M8/k5OTQ0pKCmlpaXTs2JHCwkJsNhuPP/44EyZMYNSoUVRUVHD48GHMZ= jOLFi0iNTUVgIKCAhouNjDq7lFER0cjhECv6Ljhhhs5eeIky5Yt41DpIXr17s2dI0aQ1T+L0kOl= PPrII2z6eBND7hjKqNGjMJiMLV4o0OkUOqUkowUCrFi2nO07dpCYmITJZMJgNFFWVsaLf8pn8f8= sJiMjgyfy8lANehSdaB1hENchnuuSr+P9999nw/r1mCMiiLRY8Pn91Nps/PXNvzJr1iz8fj8vvv= gicR1iEEpw8lFTXUOX1FTS0zMQJ04cl4vf/Tu3Dx+KlBolhQdZ/u4yho+4gw0bNmAwGADw+XzQQ= j4vVRgtFKqqqqJpGiUlJQwbPoyu6V3505x8wsJNl1KoVPB5vJQUl7B79+fU2mwoihLsHAJ+0jMy= uPueu8nI7IZq0LdwR9FuUuH3+jjxUwU7Pt3BiRMnUPV6kAJNC5CUlMQd2SPIysrCaDSi6VppjEA= KDSlBJxVqz9SydctWyo8dw+f3IRQFv89HTFwsAwb0Z2R2NhGWSAJCQwrQScHBAwcZPmQoI0eOCo= anlBKpSSSCHj2vJ7FjErt27WLLli2MHz8eo9GIwWBoNwUJ5kBdiKxqmkZdXR2zZ89GVVVyRt+Nw= RTWZggZzAJ6o4FbbxtI3xv7cdFux+VyIYSCKcyENSYGg0Ft6VvbTgcvAafXq/Ts3YvUrmk4HA6a= m5vRNI1wcziWiEjCwkzolGCTrci28z8RaoWSOiXx2JOP09jURFNTEz6fD1VVibFaiY6yBPFAIgC= lZYO2dERtTb7n6urQ6/WEhYUzZWouby18i+eff56EhAT69+9PREREcCCnKCEO1bqR3++nqqqKWb= NmcejQIQbeNpBevXrRePEiWsDfUm1aABAiNIU1GUyEGUwhQNxNDtxXmYGFPDX0RgAKBkXFEGFpH= YfidbnxuNxtvtfarRaI4D3IEIxYwiNCu/q9Ps6fuxC8ZClDfYAEnA5nyGlEeXm5HHTbICItkag6= lXvGjuHGm2+mpLiYdavXYA4LZ8aMGYwfP57k5OR2HqdpGna7nZKSEl577S98/8P3ZPbowbRHphH= QNP7x3nvYG+xXDF/bw9Aq1x5N//7a/3T9f7ZWAg6Hk9UffsjIkSODnlZ/oZ76C/UAbN70EZ1SUu= g/sD9hYSbWfbCaN954nY8//pjbb7+d3r17ExcXh9PppLq6msLCQkpLS7nYeJFBg29n3PhxhIWF8= +EHH3Cs7Cg+r7+dAnq9ntjYWIAQNZFS0tzcTHh4OJqm4XQ6r2mA0WjEaDTS3NwcGmB6vV5iYmIQ= QlBfXx/Kv1eFSwhMJhMJCQk0NjZy8eJFdDodkZGRNDY24vf7r7m2VdTLH/xaW8vSd5fw7Oxn6Nu= vLwnPzWbvnr18910R5eXH0OuDPZmUMsjLgKSkJB6fPInu12cSZjSxYe16vissugIwCHYHGzdupK= amBp/Px5o1a5g8eTJPPfUUS5YsYd68eVRWVl5T4a5du7JgwQJmz57N8OHDOX/+PAaDgSlTphAIB= Fi1ahWfffbZbxr/5ptvomkaVquVuXPnYrFYeOONN3j66aeprKxsl78uF3k10AL+AKdPnWLBq68y= ffp00tPTeSj3IXLuzcFms3G6qora2lpUVaV790xSUlOIi40lzBSO1+PhH8veo7CwEK/bc9VD9Xo= 9RqORLVu2cP/991NVVYXJZGLVqlXU1NRw5syZayoMEB4eTlpaGgUFBRw/fhydTsfYsWPJz8+nub= mZhIQElLZ/0lxFhgwZwtq1a9m2bRsej4cxY8Zw9OhRJk2axIIFC34TNHE10ILA+amtrmVBwV/Iv= msk2XfdSVxCPPFJCfS96cYQ4lIL/pvkcbk5VFzCpg0bsdlsv3kogKqqREREEBkZiaqqFBQUcPDg= QTIzM0NN/TWVFoKKigoMBgMDBgxg27ZtoYGky+XCarX+5vmKojB9+nSGDBnC3LlzWblyJX369OH= nFm762muvtZu4XFX/qz6Vwerhbm5m+yf/4pt9++nWrRvpGel0SEggIiICn89L/YUGzvzyC+XHjm= GrseH1en/zMFpKt9/vJy4uLgRQVVUV9fX1/Prrr78Lmt/vp7m5mcWLF/PRRx+xadMmduzYwUsvv= YQQgpKSEsrKyq6Z13Q6HX/+85/ZuXMnx48fJzMzk4aGBo4cOUKPHj245ZZbKCoq+k0dxLFjx+T1= 11//u8YKIVB0CqpORa/XhxJwq5G/512tYjabGThwIEIIbDYbJ0+exO/3M3jwYPbt2/e7txwXF0d= MTAxnzpyhT58+2Gw2HA4H/fr1Q9M0ysrKaGhouKY+iqKQmppKz549uXDhAg0NDfh8Pk6fPk1GRg= Zut5vTp09fde3OnTvJzs5GVFVVycmTJ19BXP8vpJXf/TeKlJJFixbRr1+//29V/jvlfwEFa9S64= BEn+gAAAABJRU5ErkJggg=3D=3D" width=3D"77" height=3D"28" alt=3D"" style=3D"m= argin-top:0.15pt; margin-left:0pt; position:absolute" /> </td>= <td style=3D"width:4.35pt; border-bottom:0.75pt solid #000000; padding:0pt = 5.4pt; vertical-align:top"> </td><td colspan=3D"6" style=3D= "width:343.3pt; border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vert= ical-align:top">Esta revista est=C3=A1 protegida bajo una licencia Creativ= e Commons Atribuci=C3=B3n-NoComercial-CompartirIgual 4.0 International. Cop= ia de la licencia: <a href=3D"https://creativecommons.org/licenses/b= y-nc-sa/4.0/deed.es" style=3D"text-decoration:none">https://creativecommons.org/licenses/by-nc-sa/4.0/d= eed.es</a></td><td style=3D"border-bottom:0.75pt solid #000000; = padding:0pt; vertical-align:top"></td><td style=3D"padding:0pt; vertical-al= ign:top"></td></tr><tr><td colspan=3D"4" style=3D"width:93.7pt; padding:0pt= 5.4pt; vertical-align:top">Palabras claves: Gesti=C3=B3n educativa digital, innovaci=C3=B3n pedag=C3=B3gica, transfor= maci=C3=B3n digital, liderazgo educativo, competencias digitales.</p= ></td><td colspan=3D"2" style=3D"width:0.9pt; padding:0pt 5.4pt; vertical-a= lign:top"> </td><td colspan=3D"3" style=3D"width:305.6pt; bo= rder-top:0.75pt solid #000000; border-bottom:0.75pt solid #000000; padding:= 0pt 5.4pt; vertical-align:top">ResumenIntroducci=C3=B3n: </spa= n>la gesti=C3=B3n educativa digital se posiciona como un eje estrat= =C3=A9gico que articula el uso de las tecnolog=C3=ADas de la informaci=C3= =B3n y la comunicaci=C3=B3n con los procesos organizativos y de ense=C3=B1a= nza-aprendizaje, permitiendo responder a las demandas de la sociedad del co= nocimiento. Objetivos: <span= >la investigaci=C3=B3n analiza la gesti=C3=B3n educativa digital como estra= tegia para fortalecer la innovaci=C3=B3n pedag=C3=B3gica en la <span= style=3D"text-decoration:underline">Escuela Sixto Dur=C3=A1n Ball=C3=A9n</= span>, en el contexto de la transformaci=C3=B3n digital del sistema e= ducativo ecuatoriano. Metodolog=C3= =ADa: este estudio se desarroll=C3=B3 bajo un enfoque mixto, c= on un dise=C3=B1o no experimental de alcance descriptivo correlacional. La = poblaci=C3=B3n estuvo conformada por 3 directivos y 20 docentes, a quienes = se aplicaron encuestas y entrevistas semiestructuradas. Resultados: los resultados evidencian av= ances en la incorporaci=C3=B3n de herramientas digitales y en el liderazgo = institucional; sin embargo, se identifican limitaciones en la formaci=C3=B3= n docente, la infraestructura tecnol=C3=B3gica y la articulaci=C3=B3n entre= la gesti=C3=B3n administrativa y la pr=C3=A1ctica pedag=C3=B3gica. Asimism= o, se observa una d=C3=A9bil implementaci=C3=B3n de metodolog=C3=ADas activ= as mediadas por tecnolog=C3=ADa y ausencia de mecanismos sistem=C3=A1ticos = de evaluaci=C3=B3n del impacto digital en el aprendizaje. Conclusiones: se concluye que la gesti= =C3=B3n educativa digital requiere ser fortalecida con un plan estrat=C3=A9= gico e integral que permita consolidar una cultura institucional orientada = a la innovaci=C3=B3n, se proponen lineamientos para la implementaci=C3=B3n = que contribuyan al mejoramiento de los procesos educativos. =C3=81rea de estudio general: Educaci= =C3=B3n. =C3=81rea de estudio espec= =C3=ADfica: Gesti=C3=B3n educativa digital e innovaci=C3=B3n p= edag=C3=B3gica. Tipo de art=C3=ADcu= lo: Art= =C3=ADculo Original. </= span></td><td style=3D"padding:0pt; vertical-align:top"></td></tr><tr><= td colspan=3D"3" style=3D"width:91.45pt; padding:0pt 5.4pt; vertical-align:= top">Keywords: <= /p>Digital educational management, peda= gogical innovation, digital = transformation, educational leadership, digital competencies.</td><td colspan=3D"2" style=3D= "width:0.85pt; padding:0pt 5.4pt; vertical-align:top"> </td>= <td colspan=3D"4" style=3D"width:307.9pt; border-top:0.75pt solid #000000; = border-bottom:0.75pt solid #000000; padding:0pt 5.4pt; vertical-align:top">= AbstractIntroduction: digital educational manage= ment is positioned as a strategic axis that articulates the use of informat= ion and communication technologies with organizational and teaching-learnin= g processes, allowing to respond to the demands of the knowledge society. <= /span>Objectives: the researc= h analyzes digital educational management as a strategy to strengthen pedag= ogical innovation in the S= ixto Dur=C3=A1n Ball=C3=A9n School, in the context of the digi= tal transformation of the Ecuadorian educational system. Methodology: this study was developed un= der a mixed approach, with a non-experimental design of correlational descr= iptive scope. The population was made up of 3 principals and 20 teachers, t= o whom surveys and semi-structured interviews were applied. Results: the results show progress in= the incorporation of digital tools and in institutional leadership; howeve= r, limitations are identified in teacher training, technological infrastruc= ture, and the articulation between administrative management and pedagogica= l practice. Likewise, there is a weak implementation of active methodologie= s mediated by technology and the absence of systematic mechanisms for evalu= ating the digital impact on learning. Conclusions: it is concluded that digital educational manag= ement needs to be strengthened with a strategic and comprehensive plan that= allows consolidating an institutional culture oriented to innovation, guid= elines for implementation that contribute to the improvement of educational= processes are proposed. General ar= ea of study: Education. Specific area of study: Digital educational management and p= edagogical innovation. Item Type: <= /span>Original Item.&#= xa0;</td><td style=3D"padding:0pt; vertical-align:top"></td></tr= ><tr style=3D"height:0pt"><td style=3D"width:61.3pt"></td><td style=3D"widt= h:15.15pt"></td><td style=3D"width:25.8pt"></td><td style=3D"width:2.25pt">= </td><td style=3D"width:9.4pt"></td><td style=3D"width:2.3pt"></td><td styl= e=3D"width:56.35pt"></td><td style=3D"width:258pt"></td><td style=3D"width:= 2.05pt"></td><td style=3D"width:3.75pt"></td></tr></table>1. = ; In= troducci=C3=B3n En la actualidad, los sistemas educativos se desarrollan en un ento= rno caracterizado por la constante transformaci=C3=B3n tecnol=C3=B3gica, lo= que exige a las instituciones escolares replantear sus modelos de gesti=C3= =B3n y sus pr=C3=A1cticas pedag=C3=B3gicas, en este contexto, la gesti=C3= =B3n educativa digital se posiciona como un eje estrat=C3=A9gico que articu= la el uso de las tecnolog=C3=ADas de la informaci=C3=B3n y la comunicaci=C3= =B3n con los procesos organizativos y de ense=C3=B1anza-aprendizaje, permit= iendo responder a las demandas de la sociedad del conocimiento, seg=C3=BAn = Alonzo et = al. (2023) el liderazgo directivo cumple funciones vitales dentro del desar= rollo educativo, por lo que su capacidad, visi=C3=B3n positiva, proactiva y= transformadora, repercutir=C3=A1 en los resultados educativos.<= p class=3D"NormalWeb" style=3D"margin-top:0pt; margin-bottom:0pt; text-alig= n:justify; line-height:115%">Diversos estudios realizados en la Organ= izaci=C3=B3n de las Naciones Unidas para la Educaci=C3=B3n, la Ciencia y la= Cultura (UNESCO, 2024) coinciden en que la incorporaci=C3=B3n efectiva de = las tecnolog=C3=ADas en la educaci=C3=B3n no depende =C3=BAnicamente de su = disponibilidad, sino de la capacidad institucional para integrarlas de mane= ra planificada, coherente y orientada a la innovaci=C3=B3n pedag=C3=B3gica,= desde el punto de vista te=C3=B3rico, la gesti=C3=B3n educativa digital se= comprende como un proceso integral que trasciende la digitalizaci=C3=B3n d= e tareas administrativas y se orienta a la transformaci=C3=B3n de la cultur= a institucional, el liderazgo directivo y las pr=C3=A1cticas docentes. </sp= an>Autores como Salinas et al. (202= 5) sostienen que la gesti=C3=B3n digital reorganiza la din=C3=A1mica escola= r mediante el uso de plataformas, sistemas de informaci=C3=B3n y entornos c= olaborativos, mientras que organismos internacionales como UNESCO (2024) de= stacan que la transformaci=C3=B3n digital educativa depende de la articulac= i=C3=B3n entre infraestructura tecnol=C3=B3gica, formaci=C3=B3n docente y l= iderazgo institucional. En este sentido, la innovaci=C3=B3n pedag=C3=B3gica= se configura como un elemento clave para impulsar cambios innovadores.</sp= an>En el contexto latinoamericano y= ecuatoriano, la literatura evidencia avances en la formulaci=C3=B3n de pol= =C3=ADticas p=C3=BAblicas orientadas a la digitalizaci=C3=B3n educativa as= =C3=AD como lo demuestra la Asamblea Nacional del Ecuador (2011) al estable= cer la incorporaci=C3=B3n de tecnolog=C3=ADas de la informaci=C3=B3n y comu= nicaci=C3=B3n en el proceso educativo; sin embargo, persisten brechas signi= ficativas en su implementaci=C3=B3n, una investigaci=C3=B3n reciente Lleren= a & Mu=C3=B1oz (2025) se=C3=B1alan que factores como la limitada capaci= taci=C3=B3n docente, la insuficiente infraestructura tecnol=C3=B3gica y la = d=C3=A9bil articulaci=C3=B3n entre gesti=C3=B3n institucional y pr=C3=A1cti= ca pedag=C3=B3gica dificultan la consolidaci=C3=B3n de procesos de innovaci= =C3=B3n educativa. Esta problem=C3=A1tica r= efleja una desconexi=C3=B3n entre el discurso de transformaci=C3=B3n digita= l y las pr=C3=A1cticas reales en las instituciones escolares, donde la tecn= olog=C3=ADa contin=C3=BAa siendo utilizada de manera instrumental y no como= un componente estrat=C3=A9gico del aprendizaje, en la Escuela Sixto Dur=C3=A1n Ball=C3=A9n<= span>, esta situaci=C3=B3n se manifiesta en la limitada integraci=C3=B3n de= herramientas digitales en las pr=C3=A1cticas pedag=C3=B3gicas innovadoras,= Concha et al. (2023) se=C3=B1alan que el uso de herramientas digitales fav= orece la inclusi=C3=B3n educativa al facilitar el acceso al aprendizaje, at= ender la diversidad y fortalecer la participaci=C3=B3n de los estudiantes.<= /span>Esta prob= lem=C3=A1tica adquiere relevancia en el marco de la educaci=C3=B3n ecuatori= ana, y as=C3=AD como lo se=C3=B1ala Cort=C3=A9s (2022) los educadores no de= ben permanecer ajenos a la historia reciente y al impacto de la digitalizac= i=C3=B3n en la organizaci=C3=B3n de la ense=C3=B1anza ya que compromete la = calidad del proceso educativo y la posibilidad de desarrollar aprendizajes = significativos acordes con las exigencias del siglo XXI, en este sentido, l= a presente investigaci=C3=B3n tiene como objetivo analizar c=C3=B3mo la inn= ovaci=C3=B3n pedag=C3=B3gica contribuye al fortalecimiento de las pr=C3=A1c= ticas educativas en la Escuela Sixto Dur=C3=A1n Ball=C3=A9n<spa= n style=3D"font-family:'Times New Roman'">, a partir de la identificaci=C3= =B3n de sus pr=C3=A1cticas actuales.Mart=C3=ADnez & Rogero (2021) se=C3=B1alan = que la innovaci=C3=B3n educativa est=C3=A1 estrechamente vinculada al conte= xto en el que se desarrolla, por lo que las propuestas de cambio deben resp= onder a las necesidades y caracter=C3=ADsticas de cada comunidad educativa,= en el contexto contempor=C3=A1neo, caracterizado por la acelerada evoluci= =C3=B3n tecnol=C3=B3gica, los sistemas educativos enfrentan el reto de tran= sformar sus modelos tradicionales hacia enfoques m=C3=A1s din=C3=A1micos, f= lexibles e innovadores, en este escenario, la innovaci=C3=B3n pedag=C3=B3gi= ca emerge como un componente estrat=C3=A9gico que permite no solo optimizar= los procesos administrativos, sino tambi=C3=A9n potenciar el aprendizaje m= ediante el uso intencional de las tecnolog=C3=ADas de la informaci=C3=B3n y= la comunicaci=C3=B3n.En Ec= uador, si bien se desarroll=C3=B3 pol=C3=ADticas orientadas a la innovaci= =C3=B3n digital, como lo demuestra el Ministerio de Educaci=C3=B3n del Ecua= dor (2021) en su agenda educativa digital , persisten limitaciones relacion= adas con la formaci=C3=B3n docente, la infraestructura tecnol=C3=B3gica y, = especialmente, la articulaci=C3=B3n entre gesti=C3=B3n institucional y pr= =C3=A1ctica pedag=C3=B3gica. Esta situaci=C3=B3n evidencia una brecha entre= el discurso de modernizaci=C3=B3n y la realidad educativa, donde la tecnol= og=C3=ADa a=C3=BAn es utilizada de manera instrumental y no como eje articu= lador del aprendizaje.2.= Metodolog=C3=ADa <= /p>La investigaci=C3=B3n se desarroll= =C3=B3 bajo un e= nfoque mixto, al integ= rar procedimientos cuantitativos y cualitativos con el prop=C3=B3sito de ob= tener una comprensi=C3=B3n hol=C3=ADstica de la relaci=C3=B3n entre la gest= i=C3=B3n educativa digital y la innovaci=C3=B3n pedag=C3=B3gica, permiti=C3= =B3 combinar el an=C3=A1lisis de datos estad=C3=ADsticos derivados de la ap= licaci=C3=B3n de instrumentos estructurados con la interpretaci=C3=B3n de p= ercepciones, experiencias y valoraciones de los actores educativos, favorec= iendo la triangulaci=C3=B3n de la informaci=C3=B3n y el fortalecimiento de = la validez interna del estudio.<sp= an>El dise=C3=B1o de la investigaci=C3=B3n fue no experimental, dado que las v= ariables no fueron manipuladas deliberadamente, sino observadas en su conte= xto natural. Seg=C3=BAn Hern=C3=A1ndez-Sampieri & Mendoza (2018) este t= ipo de dise=C3=B1o se caracteriza por estudiar los fen=C3=B3menos =E2=80=9C= tal como se dan en su contexto natural, para analizarlos posteriormente=E2= =80=9D (p.152). Asimismo, el estudio adopt=C3=B3 un alcance descriptivo=E2=80=93correlacion= al, ya que permiti=C3= =B3 caracterizar las pr=C3=A1cticas de gesti=C3=B3n educativa digital y exa= minar su relaci=C3=B3n con la innovaci=C3=B3n pedag=C3=B3gica.<p= class=3D"NormalWeb" style=3D"margin-top:0pt; margin-bottom:0pt; text-align= :justify; line-height:115%">El tipo de investigaci=C3=B3n fue = de campo y documental</= span>, de campo porque la inf= ormaci=C3=B3n se recolect=C3=B3 directamente en el escenario donde ocurre e= l fen=C3=B3meno, mientras que el car=C3=A1cter documental se sustent=C3=B3 = en la revisi=C3=B3n de fuentes te=C3=B3ricas y normativas. Tal como se=C3= =B1ala Arias & Beltr=C3=A1n (2023) la investigaci=C3=B3n de campo =E2= =80=9Cconsiste en la recolecci=C3=B3n de datos directamente de la realidad = donde ocurren los hechos=E2=80=9D (p. 31), as=C3=AD su poblaci=C3=B3n estuv= o constituida por la totalidad del personal directivo (3 autoridades) y doc= entes (20 profesores) de la instituci=C3=B3n, garantizando la cobertura tot= al de los sujetos de estudio.<span= >Para la recolecci=C3=B3n de datos se utilizaron t=C3=A9cnicas e instrument= os de naturaleza cuantitativa y cualitativa. En el componente cuantitativo,= se aplic=C3=B3 una encuesta estructurada al personal docente, dise=C3=B1ada b= ajo escala tipo Likert de cuatro niveles de respuesta, orientada a medir pe= rcepciones sobre la gesti=C3=B3n institucional, el uso de herramientas digi= tales y su relaci=C3=B3n con la innovaci=C3=B3n pedag=C3=B3gica. En el comp= onente cualitativo, se emple=C3=B3 una entrevista semiestructurada dirigida a= l personal directivo, con el objetivo de profundizar en la visi=C3=B3n estr= at=C3=A9gica, el liderazgo digital y los factores que inciden en la transfo= rmaci=C3=B3n educativa.Los m= =C3=A9todos de investigaci=C3=B3n utilizados incluyeron, en el plano te=C3= =B3rico, el m=C3= =A9todo anal=C3=ADtico=E2=80=93sint=C3=A9tico, que permiti=C3=B3 descomponer el fen=C3=B3meno en = sus componentes y posteriormente integrarlos en una interpretaci=C3=B3n glo= bal; y el m=C3= =A9todo inductivo=E2=80=93deductivo, que facilit=C3=B3 la cons= trucci=C3=B3n de inferencias a partir de los datos emp=C3=ADricos y su cont= raste con los referentes te=C3=B3ricos. En el plano emp=C3=ADrico, se emple= aron la observac= i=C3=B3n cient=C3=ADfica, <s= pan>la encuesta y la entrevista como fuentes primarias de informaci=C3=B3n.= El procesamiento de los dato= s cuantitativos se realiz=C3=B3 mediante estad=C3=ADstica descriptiva, utilizando frecuencias y porcentajes para = la organizaci=C3=B3n y an=C3=A1lisis de la informaci=C3=B3n, as=C3=AD como = su representaci=C3=B3n en tablas de tabulaci=C3=B3n. En cuanto al an=C3=A1l= isis cualitativo, se aplic=C3=B3 un proceso de interpretaci=C3=B3n tem=C3=A1tica<spa= n style=3D"font-weight:bold">, identificando patrones y relaci= ones en los discursos de los participantes identificando categor=C3=ADas em= ergentes relacionadas con liderazgo digital, cultura institucional, limitac= iones estructurales y estrategias de mejora.Finalmente, se garantiz=C3=B3 la validez y confiabilidad del e= studio mediante la coherencia entre los objetivos, los instrumentos aplicad= os y el an=C3=A1lisis de resultados, as=C3=AD como a trav=C3=A9s de la tria= ngulaci=C3=B3n metodol=C3=B3gica. Seg=C3=BAn Denzin (2009) la triangulaci= =C3=B3n permite contrastar diferentes fuentes y m=C3=A9todos para fortalece= r la credibilidad de la investigaci=C3=B3n que permiti=C3=B3 contrastar la = informaci=C3=B3n obtenida desde diferentes fuentes y perspectivas.</= p><spa= n style=3D"font-weight:bold">3. = ; Resultados Los resultados obtenidos para esta investiga= ci=C3=B3n se derivaron de la aplicaci=C3=B3n de una encuesta al total del p= ersonal docente y de una entrevista al personal directivo de la <spa= n style=3D"text-decoration:underline">Escuela Sixto Dur=C3=A1n Ball=C3=A9n<= /span>, dicha informaci=C3=B3n se organiz=C3=B3 en funci=C3=B3n de la= s dimensiones de gesti=C3=B3n educativa digital e innovaci=C3=B3n pedag=C3= =B3gica resaltando porcentajes y en la cual se obtuvo los siguientes result= ados: En relaci=C3=B3n con l= a integraci=C3=B3n de herramientas digitales en la planificaci=C3=B3n curri= cular, se evidenci=C3=B3 que 19 de los encuestados que representan el 95% d= e los docentes manifest=C3=B3 estar de acuerdo o totalmente de acuerdo con = su incorporaci=C3=B3n en el proceso de ense=C3=B1anza-aprendizaje, mientras= que un docente que representa el 5% expres=C3=B3 desacuerdo, de ello se pu= ede decir que la mayor=C3=ADa de docentes integran las herramientas digital= es para potenciar el aprendizaje.<= span>Respecto al liderazgo directivo orientado a la transformaci=C3=B3n dig= ital representado en la Figura 1</s= pan>, 18 de los encuestados que representa el 90% de los docentes ind= ic=C3=B3 una percepci=C3=B3n favorable, y 2 de ellos que representan el 10%= indico que el directivo no fomenta una cultura de transformaci=C3=B3n digi= tal, lo que evidenci=C3=B3 la existencia de iniciativas institucionales enf= ocadas en la modernizaci=C3=B3n educativa en la instituci=C3=B3n. </= p>Figura 1</= span>La = planificaci=C3=B3n curricular institucional integra de forma transversal el= uso de herramientas digitales para potenciar el aprendizaje significativo<= /span><img src=3D"data:image/png;base64,i= VBORw0KGgoAAAANSUhEUgAAAdIAAACuCAYAAACC94w4AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz= AAAOxAAADsQBlSsOGwAAG1hJREFUeJzt3Xl4U1XeB/Dvzdo1TfeySal0EFD2RcRXwREEUQd0cB1= lRp13dHDF5Z3RcRR3AUEQkcUNEHV0HHhGQFTEBVmUfamy1kJbSvc0adNmve8fbUOXpE17k97c5P= t5nuNjkrv8cnK5355zswh5BSUiiIiIqMMye6YJGgDo3SNV7lqIiIgU5VRhKQBAJXchRERESsYgJ= SIikoBBSkREJAGDlIiISAIGKRERkQQMUiIiIgkYpERERBIwSImIiCRgkBIREUnAICUiIpKAQUpE= RCSBRu4CiKi1devWAQC+sw4EACy4NVvmiojIFwYpURdrDEl/NP4000MfHPdr+dcYuERdjkFKFGR= r165t8/GKqmps3p4Dp9OFCWMvRGqSAQBQZ3Mgb9s62Ksr0Gv0tYhKOPcrTRW5+5HYZxAEofnVmQ= fXnAvchbcxVIm6AoOUKMCq5t2ILeff4teybreIzdtzcNnIC6BRq/D1jhxMnzQKKpUKufkliE3rj= ZR+I1F2fA96jJgEAKguOY2Y1F6AoEJbPyb8QJNQXcRQJQoaBilRgFTNm97hdc6WmaDTapCRkgAA= iIuNwpkSE3pmJEEU62PSLQKiKEIE4HLY4Kg1IzbtvDZDtKX71zSfGn6dwUoUMAxSIgmq5v7e6/1= XnFiDr8+/td31K0zVSIiP9oRmYnwMqixW9EhPRFavVOzamouK3H3oPnIKRBEw5x+BoddAiB1JUS= /ue78+WBf/gYFKJBWDlKgTqubeEJDt2BxOROm1ntsqlQq1NjsAIEqvQ89Lzu3HWnkWuoR0CBpNh= 0ajbZnZEKhvMFCJOo1BStQBgQrQRlE6LWrr7J7bDqcLMdE6z+3GwHQ7nagzFcPYZzBs5gqc2b0e= 2mgDMkZMhlqrl1zHXxsCdQkDlajD+IUMRH4wz70e5rnXQ4Dod7vy5Pv11zbbaEZDDMpN1Z7bleY= aJCXENlkG9VO6BUcQ16M/RBGozN2HtIvGIzq1NyyFxzzLBKLdu/o47l3t30dtiKgeg5SoHeY50z= qfTO1ITzbAWmtHSbkZpRVmVNfUIS3Z4HlcBGCzlEMTbYBKq4MIQIQIURDqH3e7Gu4LbLuHYUrkN= 07tEvlgnjM16PtQqVS44uIB2LzjMDRqNSaMvRAatdrzuFt0w1p6CglZwzzTvAlZQ1G8eyNUGj0y= Rl0TsOulLf2lIUyX3c7pXqK2CHkFJWLvHql+LEoUOcxzfhewbX2ZdXvn17UODlgdUiy/g2FK1NK= pwlJk9kwTOCIlasL8SuACNBCCNdrsqD+vqh+drmCgErXCa6REDcyvXBeEq43SojAY1Uhpd6/itV= OilhikRADMr1wbtPiZeHJlu+/e9dVkT04v7e6VDFOiphikFPHMr1zTBQnUOf5/2KZr210rTwT0N= SBSMl4jpYhmfnmKrPt3u0V8+uUuVJqtiI7S4ZYpF8PpdGHLj7+gymJFzPAe0BnSPMtbft2HuMzB= rX71RQ53rjyBd2b0lbsMItnxXbsUsbo6RDdlzWh1X25+KVKT4hEfG+W570huERxOF1KT4rH5aB2= Sh04GANSVnYZaHwttfHKX1u2Pd//IQKXI0/iuXfn/rCWSgeXlq7t8QrQll8uNA0fzUVBc2exrAh= u/wF4U6/8jNvzqi7PWDE18styXSL22P77HqV6KXAxSijiWlyYH7jv1OtBavpFIpRJw9WUXISZKh= 6+256Ciqv6rAvv0TMHponJ8+9MviM0aDlEErIVHEN3tgoCX5XaJMP38Pc58uRSlP62Fo7a6xeNu= FH+3CoUbFqBo83K4nE6IIuC01aH0p7U4u+Ud2KtKmn2J07rPv4Xb7ZbzJSbqUpzapYhieWmSrPv= fmPUnr/dXWWqxbd9xXH3ZoGb3b7AOh91UBADQGbsFvB5b2WlArYE2PgXmI99DdDqQOGSy5/HaM8= egM6ZDHZPQbD3r6UNwu5zQJaSh5vRBzzoPj3AhKdGA3j0DXytRqOHULkUcy0tXhcAkqHcJ8dHQq= FVwuZqP5NwuJ+xVJdAau8FhKUfJ9ytRvmsdXA5bQKrRpZwHXWJ3CBod4s4fBVvxSc9jbpcL1b/u= QW3ZKTht1hbr1j8Xd+Nou2H6+fm1vzBEKeIwSCki1Ieo/Nr6zKharWq1jLXwCKK61f/qS3XePhg= GXAFdcm/UFgX2V19EERC0sRC0+nPft69SI3Hk9VDp42Haux4OS7nnMX16Nmwluag6+AWi+9RPP9= cWHkFUtwvwh3d4vZQiCz/+QpHBj19ikYPbLUIQgLzCcnRLNUKlEjyPVZproI5OhdDwqy8AIAoNb= 1tyOyV8OtU7R00FonsPbbZdQauHPq0P1DFGmH/egsRR9b/HKuiiYRx17rdZ7aYiqBPSAHX9j47f= 9s4JrLmT7+SlyMARKYU9y4sTQmBKt75NyX3bU1dZpQWffXsAG78/iFqbHf0yMzyPiaKIwuJKaFN= 6e9aOzhwKS84W2M4egz6jX8Crs5XkIuq8wV4fU8clQlBr4Ha1/tk2t8sJR5Pp57KtK2HatQ411l= qZXnGirsURKYU1y4tXyl1CK40fb0k2xuG68YO9PgYAA/v2wEnrucfUsclIvPSOJssGriZb8Qnoe= wyAoNb63q5KAxGqVpd6awuPQN8w/Ww9tQ/xA66Aw1yG2+ZuwrqnpwWuSKIQxREphS3Li7+VfQTa= kTccedMV1djK86FJyIAqKh4umxWO6vJzo023CLfoRl3RcWiSewEqodm6jupyqKLjz00/i4CIhh8= ddzlx89u8XkrhjyNSCltCAEdsgXRt7lv4LOtuv5YN9lOwFf6MmkNfNLlHgHHcnyECcFadRU3ONx= A0augy+kHfc1CzekTRDUfZKURlnvvRcX3mUNTs3wBBo0fc0GshArjp7RP41128Xkrhi0FKYan6h= SvkLqFNop/zssF+j5Su+wDoug/wul+1IQOGMbe0UY8K+t7Dmt2njk2GYWxwpp+JQhWndinsVL8w= PgSmbwMzvSt3lYFq09/iFC+FLwYphR8Zvv6vo+263OVy9xIRBQiDlMJK9fOXh8D4y7/W2R/7Vmr= 7/Qr+IDiFJ14jJZKJP9dJ/b2WSkTy4YiUwkb185fJPsrsSJuaF3nTuzcsPyZ3CUQBxxEphQ8Fjt= 7aG3FyREoU+jgipbBQ/dylso8wg3GdNBxdv+yo3CUQBRSDlMKE/KHYmXb9qWVtP6sQeJNQMBpRO= OHULilezbNjIfixXKhqK1jCNXSmvvkL1t3bX+4yiAKCQUphQNlhE65hSRQpOLVLYUD+KVopbfpp= 39O7ck/BcnqXqH0MUlK0mmcvlj0IA9HkDjU52nVv5Mh9+BAFBKd2SdnCZGTDERqRcnFEShQCbsr= 3Pr0r96iR07tE7WOQksLJPy0bzOndcHft4sNyl0AkGad2SbFqZo+Uu4Sgi4QwJVI6BikpV5iFzM= 35b+LDnvc0u49BShT6OLVLiiVADLsWaVO7ADBl0UG5SyCShCNSUiTrM8PlLqFLREqYEikZR6SkT= KIYlu22gjcjbkRKpHQckZJChW/INA1QhilR6GOQkkJFRsAwSIlCH6d2SaHk/9xnsNrtZ5ZwapdI= QTgiJWUK84xpDFGGKVHoY5CSQjFgiCg0cGqXFEr+KdhgthlFS/z+vtpwaBNf3SP3AUXUaRyRkjJ= FwJQnr5MSKQODlBSn9qmBEOQugoioAYOUKETdeXYJ1hpGyV0GEbWDQUoKFDnTnZzaJQp9DFJSng= gKl/XmGXKX0IV+kbsAok5hkJICRU6QElHo48dfiIiIJOCIlBQngmZ2iUgBOCIlxYl54YjsX5jAF= oxGpEwMUiIiIgkYpEQku5gXjspdAlGn8RopKRI/X0lEoYIjUiIiIgkYpERERBJwapcUiTO7RBQq= GKSkUExSIgoNnNolRYp76bjcJRARAQxSIpIb/ygipePULikWPwJDRKGAI1IiIiIJGKSkWPEvn5C= 7BCIiTu2SsnF2V9kMr/CPIVI+BikpHJOUiOTFqV1SNMMrJ+UugYgiHEekpHic3lWmhDn8I4jCA0= ekREREEjBISfHqRzYim+IaUXhgkBJRl0uYkyt3CUQBw2ukFBYS5uTC9FiW3GUQUQRikFIY4XShE= hjn/ip3CUQBxaldChs8QRORHDgipbDCj8KEtsR5/GOHwg9HpBRWeKImoq7GESmFIQ5LQ1HivDy5= SyAKCgYphZ3EeXmoeCRT7jKoiaRXGaIUvji1S0REJAGDlMJS/QhI7m/uYQNEjkYp7DFIiYiIJOA= 1UgpbSa+eQvms3nKXEdGS55+SuwSioOOIlMIaT+TyYd9TpOCIlMJe8vxTKJ91Xqv7baIKMwsnoF= rUee6723gAV8afBgAUOmKxuHwYbKIa9yfvRR+dGQBQ7dLi9YphKHLGYlbybmQ23A8AmyyZmBiXB= 5XQJU8tZCXPPy13CURdhkFKESF5/mmUPdw8TE/ZDHg2fSsy1DUQBAHvmwYgUV0HUQRcooBF5cNx= l/EgtCo3llYMwYtp30MlAD9au2GwvgRT46uw3pyFmcn7AQCH65IxUF8GIcK/YSllAUOUIgundil= itDzBZ+tN6KaxQhAEiKKIA3WpGKAvAwActxsRKziQrTchU2tGkroWv9iSgSZf9yCKgLvhn1CtW4= 0yVzR6aqu7+FkRkdwYpBRhvH9EI99pQLa+ElEqV/1tRzwytNWex3toLCh2xgAQMTrmDPbWpWNp5= WBMiT8BQMQP1h64JLpQ9o+ayN04GqVIxKldiigpC/JR9nCvVvfn2JIxKqrIc9vq1iBOZffcVkOE= 2V1/LTVO5cCTqTs8j52wG5GprYJO5Q56/aEsZUG+3CUQyYIjUoo4KQvyIYpo1g7VpeICfbnndqz= ggMOt9tyuEzWIElyt1rO5VMi1G9FXZ0KBPQ6Pnh2HV0pHo8alabVsODeGKEUyBilFpNTXzp34q1= w6JKtroRdcnvt6ai3Id8R7bp9xxqGX1txqO9tqe2JsVAEAYFNNFv5kPISL9CXYWds96M8hVDTtS= 6JIxCCliFUfACJ+tiVjZNSZZtf6snUVMLmjcNKegFy7AeXOaGTrypstU+CIRYq6BjFqBwARoihC= aHgrkkNUyX69sisaQ5SIQUoRLvW1AuRf/Cj66cqbTVUKAO4x7sWSymFYUTkEDyTthgai53GXGzh= Ul4YL9WWe+ybFnsS7povwY213jI4qlH26Ndgt9bUCuV8+opAg5BWUiL17pMpdB5HsSh7sKXcJip= C2kAFKBACnCkuR2TNN4IiUqAEDon3sI6LW+PEXoibSFhag+IEecpcRktIXFcpdAlFI4oiUqAUGR= mvsEyLfGKREXqQvKmR4NGA/ELWNU7tEbWgMkeIHIudzoY3SF52RuwQiRWCQEvkhfdEZnL0/MsI0= 43UGKFFHMEiJ/NQYMOEaqAxQos5hkBJ1ULgFKgOUSBoGKVEnNQZQ0X3d5C6lU7otLvJjKSJqD4O= USKKmgRTqocrwJAo8BilRAIViqDI8iYKLQUoUJC0DrOi+jC7c99ku2xdRpGOQEnURX+F2ZmbnA7= b7GwxMIrkxSIlkxjAkUjZ+RSAREZEEDFIiIiIJGKREREQSMEiJiIgkYJASERFJwCAlIiKSgEFKR= EQkAYOUiIhIAgYpERGRBAxSIiIiCRikREREEjBIiYiIJJDtS+tXf7IRqz7e0Or+2JhorFs5L2Db= XzbvCWT17iF5e4GwcPmHWP/VD1jz5vNIS0mUuxyvuqrGx59dhH2HjgIA1GoVkowGDOiXhWlXj8f= AfllB228gdOXr+PScZdi+62Cr+5+adTcuGzO0Q9tSwvHXVFfUG4nnoc7i8dOGvIISUQ7rPv9WrK= isEkVRFGfc/4x4PPe0WGezi6s+3uDX+lt37mt3mb89v1g8mVcguVapdTT1l0dfFItLK4JWTyB0V= Y0LV3wkfrj2C7HOZheLisvEZav+I06YPlM8kHM86PuWqitfx+Wr14r//uxrz+2yCpO4c/ehTm1L= CcdfU8GuN1zOQ/7WIhWPn+byCkpEBGtE+uCa417vX3hbtuf/Lx8zDMaE+GaP63VaTJ08Dm63CJV= K8Ln96pparPl0Ey4dPaTNOnTa4A64/a2jKb1OG9SaAiEQNVbNvcHr/QmPfdrsdnxsDPQ6LTLSkv= G/t0+D2VKDt9esw8IXHpVcQzAFoo/Wrl3r9f5p06a1uV5yYgKShyd0ap9KOP6aklTvjt/6fmzM1= 0CYnIc6UotUEXX8dEBQXuFaV/vLtDx4G8XHxXj+/7vte/HWmnXQaNS448YpGD92BADg9bc+wolf= 8zFh+ky8s/CfSE0y4tWla7BrXw4uyO6DJx78Ewzxsc22++CT83AyrwCvzn4YLy58F/2zM3HXbVP= x3KsrUGez4/m//xVpKYn48tudWP3JRiQmxOOJh+5ERloyZv5tDkpKy/GPWXdhzuJVGD64P2bdc1= urOnp1T/e6/vZdB/HGO5/g/MwecLndnpq8Lduors7m9Tl9s2033vtoPQRBwGMzb8fAflmYdPP9y= EhLwXuLnvZMBa59bx7iYqO97uOex17C2ZJyTLt6HLbvOog35/wdO/cc8lqjr9egPSpHlV/LtTTp= ijF4+Kn5qDJXI8EQ12Y/+eojAK366ZGnF/jsI2/7eGbucr/7qLP95HL58Q+lBafThW0/HcDllww= DAJ/HZlO+jj9vzzvBEIdnX30LLpcLN/5uAkYM7q/gfi5utz9D9Tzkra+em/+2z9fan3PRwZ+P+7= 29pqQeP+jA+Sy0jh//BeXNRrUuwWvriNMFZ/Hp+q/x+kuP4x8P34UFSz/AybwCAMCjM2+H0RCHr= z55A726p+PX/CIYDXH4YOkLSDDE4fCRk622N2/2Q3CLImx2Oxa/9DhyjuZi1/4cvPzU/Rg0IBv7= Dh1FXn4RiksrsGL+P3Dl5aPx3kefAQDmPv0AbHYHRBFYOvcJ7Nh1EGZLTas6vK1fWm7Cex99hoU= vPIIZN13jeQ6+9tXI23M6mVeAzd/9hCWv/B9umTYRm7/7EQCwfN6TnvUev2+G5yTgax+vPf8I7A= 4Hrho/BsvmPYHyyiqvNbb1GrRH5TB7be1JTqwfadVYa9vtJ1+vu7d+8tVHvvbhbx9J6SeXy+W1e= bN05aeYMH0mJt/yALb9dMBzv69js5Gv48/X895/+Bj+Z/QQPDXrLpwuKFJ4P5e00fwjx3nIV1+1= 9Vq3dy5a/PbHHdpeII8fX8dQ6B8//gvKiLSu439ot/LTvhyMGTkIRkMcjIY4TP7tWOw/fAznZ/Z= stWz/7EykpSTiw/98gR27DmLsyMGtltFqNFAJAgYNqJ9ezs46D/3O742Y6Cj06JYKp9OJnCMnse= rjDZ43HzSe1LVaDfQ6LYZc+BsAQFpqMhwOJ6Kj9c324W39nXsO4crLRiElyYiUJCOy+/TyuWx7z= 2n/4WO48vJRiI2JxlXjx+Cq8WMAAElN1o2NiYIhPq7Nfei0Gui0Ws/IzleNHXkNWvInNL0pr6xq= 9pza6idfr7u3fqquqfXaR7724W8fSeknp9Ppd7/cM+MG3HDNFXA4nfjhx/2e+30dm43aqtvb875= 9+tVY+a/1AIBJV1yi6H4WUeqzP/39s16O85CvvmrvtW6q5fqx0VH4ce/hDm8vEMePr74J9eOnI4= ISpHa7XfI2RAAVledOxkmJBqjV3gfQv54+g9ff+hfuuHEKRFH0a/uCgFbLutxuzH78L7hk5KBO1= ext/Q/XfgF3k+kFQRD82pe35+R2u2Gptkqqx5vqGqvXGjvyGrTk6xiIbme9TVu2Y9TQgYjS69p9= Dr5e90D0k7vFlJCvPoKEfurMvxOtRtOh6ai26vbVty89OROfb9mOR55+DQuem4Wi4jJF9nNdG93= b3nHYmX0G6jwEH33l6MAfXi3X/+8X3yMlydjh7QXi+InS64J2PuuKf6f+CMrUrt1u99o6YthF/b= Dpmx345XgeLNVW7Nr3M0YOGQAAECCgts6GOlv9Nnfty8GgAX3Rt08vlFWYYHc44HS6UGkyo8pcD= QAwVVngdLlQY62D2+1GpcmCSpMFbreISpMFFSYz+mdn4v1/b0TBmRLUWOvw7bY9AIAqczVq62yo= rbPBbnfAUl0Dk9nSqo4Bv+nTav1+5/fGZ19sRV5+EUxVFlRZauB0Or0u25S35zSgXxY++e9m5J8= pbraORqNGWXklyipM+OXYr7DW1rW5j0qTpdk/Il81tvUatMfhcHhtLdVYa+FwOFFSVoG33l+Hb7= btwZ23Xud5vK1+8tZHALz2k68+8rUPf/uovWO1LR35d1Jns3n+v8pcjff//TlEUfR5bPpTt7fn/= eOewyg8W4qpk8chLSURJWUViu3nOofv5i85zkOiKHrtq7Ze6/bORVZrbYe2F8jjx1ffhPrx0xHq= h2Y99ozREOvHov579/vTXq/9zBjb/HNUbrcbE2+8D5bqGmz46gdkZ52HXt3TAQBJRgOMCXFYsPQ= DfPntTtx6/VW4sH9fAIBKpcKRE3nYuHkbxo4ajLi4GKxYvQ5lFSb0y87EDz/tR1FxGb7eugtfff= cjpk4eh9nzVuBsSTn2HjqKouIyfPPDbny9dRfSUxOxfPVaHMg5jisvH43UlCTMW7IaO3cfxJSJl= yLBEIfHZi9CSVkFDh85icNHTuJAznF8s20Pbr1hUrM6uqWnQASard+vb2/U2exY/PbHcDicMFWZ= 8cF/NuHeP/4egNBqX420Om2r5zR18jioBAHzl67BgZxjuG7S5YiLjYZGo0aVpRrLV63F8CH9se/= QUWzY/APuvm1qq3oSDHGY9c8FKCs34WReAcaPHYGMtGSfNRoT4r2+Bu0xfTYHLpe7VYufUv9u3M= efXYTvtu/F3oNHsObTTdiydRcSDHF49K+3N5tqSUpM8PocfPXRJSMHo3t6Ctxud7N+MhrivPbR9= VPGe93H7Hkr/Oqjm6ZORFJigs9jtS07duzw+u9k9OjRnmWenrMMm7bswP7Dx7D6k41Y/clGfPzf= zRgxuD8u6t/X57F587SJANBm3clenrdarcLZ4nI8+eISDLnwNxg3dgR0emX2c+WR2XC64LXFZz8= TsuehYYMuwAXZma366vkF7/h8rVvW0vJcdNO0iTDEx/m9vUaBOH4EQfD7fBZKx48/qixWvDZ/7m= whr6BE7N0jVdLGiIiIIs2pwlJk9kwT+BWBREREEjBIiYiIJGCQEhERScAgJSIikoBBSkREJAGDl= IiISAIGKRERkQQMUiIiIgkYpERERBIwSImIiCRgkBIREUnAICUiIpKAQUpERCQBg5SIiEgCBikR= EZEEDFIiIiIJGKREREQSMEiJiIgkYJASERFJoAGAU4WlctdBRESkSP8PQCUGaQPVAL8AAAAASUV= ORK5CYII=3D" width=3D"466" height=3D"174" alt=3D"" />En cuanto a la formaci=C3=B3n docente en competencias di= gitales representado en la Figura 2= , se identific=C3=B3 que 12 de los encuestados que representa = el 60% de los docentes consider=C3=B3 que la instituci=C3=B3n s=C3=AD propo= rciona capacitaciones, mientras que 8 de ellos que representa un 40% manife= st=C3=B3 que estas capacitaciones resultan insuficientes, lo que evidenci= =C3=B3 una percepci=C3=B3n heterog=C3=A9nea en este =C3=A1mbito seg=C3=BAn = los encuestados.Figura 2El liderazgo directivo fomenta una cultura organizac= ional orientada a la transformaci=C3=B3n digital y la experimentaci=C3=B3n = pedag=C3=B3gica<img src=3D"data:im= age/png;base64,iVBORw0KGgoAAAANSUhEUgAAAX4AAACmCAYAAADdwOQKAAAABHNCSVQICAgI= fAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAHLFJREFUeJzt3Xl8VNWhB/DfnS3bZDLZNyGARAS= VVeABbQGLCOizUIpWfaiFvmpFq2j1tS5VqhWLEURQEVBZhCqLxA1FEEU2MewQ9iVAQkLIMmuS2e= 59f0wyZJkJEzIr8/t+PufzyczdzuTM/O7JuTdzhKLicglERBQxFACQk50a7HoQEVEAnCm5CFmwK= 0FERIHF4CciijAMfiKiCMPgJyKKMAx+IqIIw+AnIoowDH4iogjD4CciijAMfiKiCMPgJyKKMAx+= IqIIw+AnIoowDH4iogjD4CciijAMfiKiCMPgJyKKMAx+IqIIw+AnIoowDH4iogjD4CciijAMfiK= iCMPgJyKKMAx+IqIIw+AnIoowDH4iogjD4CciijAMfiKiCMPgJyKKMAx+IqIIw+AnIoowDH4iog= jD4CciijAMfiKiCMPgJyKKMAx+IqIIw+AnIoowDH4iogjD4Ceql5+fj6nLjwe7GkR+pwh2BYgCJ= T8//7LrSACe8CL837w310e1Igo8Bj9dldasWeNxWZXehA3bCmG3O3DrkBuRmqQBANRZbCjamg+r= qQodBv43ohNSL21zai8SO/eEIDj/SH582aWTw+z7eBKg8CIUFZdLOdmpXqxKFNpaC/sGoihh1bq= f8av+10Mhl+G77YWYMGoAZDIZDp0owaGaNEQnpkF3+gCybh4FADCXn4UiJg5R8cle1WMOTwQUws= 6UXGSPn8Lfp59+6vW6ZRU6qJQKpCc7e/nquGicL9chOz0RkiRBAiCJcP4sAQ6bBbYaA2JTO0KSv= DvGox85/xqY+z88AVBoYvBT2GpL4Deo0pmQEB/jepwYHwu9sQbZ6Yno0iEVBZtPofrUHmT2vx0S= AEPxEWg63AAvM7+JKfUngLd5AqAQw+CnsHMlgd/AYrMjOkrpeiyTyVBrsQIAoqNUyB483rWspro= MqoR0CArFFQV/g0fqTwDv8ARAIYLBT2Fj9erV7d5HlFKBmloLpPpxG6vNjpjoGNfjhuEc0W5HXf= UFaDv3gsVQhdKdX0IZo0F6v9GQK6Ou6Nh/Xuo8Abw7kScACi7ex09hwRehDwCJCXGo0ptdj3XGG= iRr1a7HUn0xlhyB+prukABUn9qD1JuGIyY1B8bzx1zrXGl5eOlxPLyU/y9AwcMeP4W0VatW+XR/= aUnxqKm14kKFHoIAmMx1SE2Kb9LjtxorIY/RQKZQOf8CkCRIEJzDPQ6H1xd5L+ehJcfx3v3s/VP= gscdPIUufN8Hn+5TJZBg+sDs27jiETQVHMWLwDVDI5a7lDklEzcUziE7tCBGACCC+Sx9UHPge5v= PHEZt1net5X5T/XcKePwUe7+OnkKR//Xeun7/tdHfAjruupnfAjtXcwgfY+yf/O1NykT1+Cj361= 8c3GRUfWfRxwI7d3vH79pTJi9n7p8Bg8FNIMbz+Wwj1I+qNS6C0PHJgy6TFJwL2WilyMfgpJBhm= jINhxjjn1VU35bbTy+v/m9bfxWMVAlb+sIjhT/7F4KegM8wY69VgyKii5X6vSzCHehqXBxn+5Ec= Mfgoqw4zftCkSRxUt82uPX5QQMuX+Dxn+5B8Mfgoaw7/vvLKxED/yZa9dFCXoD/+IsvXzUFmwBv= Y6k2uZ1VSJi1uWoXzTYlj15a7n7dY6VBasQfn3H8BqKMfERuGf//UPEEXRr6+fIgODn4LoyiJ1d= NFHIVYj98VSdQ5RGV2RMnwSZDHxMB7ZXH9CEKHf+zXib7wFCX1GQ7//W4iS6Nym7DhUKZ2g6XUb= zKd2QQLwPx+ewJ4DR9Hnpm6QyfiRpfbju4iCwvDaHe26Ajr69NKQv7irSu4IpTYLglyFuC4DUHf= hpPM/g6tLISiioUzIhCI+DbIYNayVJfXb1ddBvFQfh82Clz89jJxrMoPdbHSVYPBTwBleu91HfW= rf89fFWkEVB5kyyjmcY6yALE7rWiaPTYK9RgcJgCojF9aLp2A4sA4xnftBAlBXcgRRWdf75fVSZ= GLwU8D56q7324uWhHSPv3Gxm6oQndMHkgSIdisEZfSlSxaCHKKlBpIECMoYJPQfj6Shk6HQpMOq= K4VckwbIFLjnfV7sJd9g8FNAGaeP9mmi3lG0xLVvi9WGPYfPovBESYvj6ow1+GzjXqz+dhcqdSb= X83UWG9ZtLcTKdTtRqTM16aXXnNnjGntv93h/+SlEdejl7P0rogCH/dJFYIcVUKhaXhx22GHTl0= OhzYTdVImqLYsx5s95MNfUBqy96OrE4KeAMU4f5ZeBlDuKFkOSJBw/U47DJ8/D4RCb9OIdDhE//= HwU/9WrC4YN6IYfdx6DKDrXKSqpQHaaFr/sl4sDx4pdt1JaKs5CkdQREmTtvi2zruwEVNk9ALkS= ogQI6mTYjJWu5Q5zNWTqlJbbnT8CZUZ3iBJQU7QHsd1vgSI5B5u27w52U1KY49cyUwD591bEG7p= mQaWUo85ia/J8eZUBKqUCaUnxAIC42CiUVRiQmZrgWsd5l6jzyyFEuwWOWgMUyR3bfSXBVnkO8o= QMCNFqOCw1kGy1UGgzIVnMsOnKAAEQa42QazObHMthqoQQHQ9BeekvgYb6zdt0HmN+3c6KUURjj= 58CwvjqrX79noP/LvrQ9Z36AJr0+Kv1ZsTHRbkeJ8RFw2CqhSRJyMlKwrmyKmzedQw9umZCkiRY= Sw5DmdGt3dcLLCWFMO9cBcOmBdCtmwX9D/MBRRQkCIi58TaYD36DmsINiO01BhDkl7YVHbBVFDl= PPPXPRXXsjZrDG2G7cAyKtOvwuwX8Qje6cuzxk98ZXx0RkOPceeZDzBRub/G81e7wOM9ulEqJ24= bc4FpmLy2DXJMOQd7+j4YqqwdUWT3cLlMkpEEz5AH3GwoyROX0bfKUXJ2M+MET210nIrDHT4Hhr= 5skW5Y+FT+26HlHKRWw2x2uxza7A0qFvMV6NpsdDv0FyBPSYTdWwrB1Ccy78iHa6vz6NRFXWsbP= PxbshqUwxR4/+ZXpX7dACOgRLwVjA406GqdLKlzP6U216JiZ2GQdADhVXAF5el/nMM3ZPYi+fhg= cxgpYy45BlX1jQF8FkT+xx09+FrjefsMl0Bt1BU16xqmJatTW2XCxyoiKaiPMNRakJKqbXgcwmB= EXo4KgUDpPCJJUv0sJksMe9N69pzJu3pFgNzCFIfb4yb/8/KVqjW2oTMDbxdkAgPt3fgax352uZ= YN7d8HWvSchl8nwy35dIRMEV49fkiSUXtTj+s4ZQP0t8sqOvWE58DWgiEJMzzEBew1EgcDgJ78x= vTI0oMcbkazDiGSd6/HqRsuStXG4c1hPt9sJguAM/fqTAADIYhMRM/Be1zrNh4WIwhmHesiPAj3= M07SMP/d+0IdiAlF+886hYDc0hRn2+MkvTC//MthVAAD87tz7WHnNJK/XZ8+eIgF7/OQnwe3tNy= 4Tir3v+Yej5VUPBbsKFGbY4ye/ENr9ZQfBES7h/3F107A3vzwEcS9sDVp9KLww+MnnzP8cHOwqt= HB38UJ8nD35suuFcvB/Us2ePfkGg5/8IDTD8/clC/GfrMuHf6j4pPpPwa4CXaUY/OQHoRn8AHDP= +YVYnuk5/IPd41+hY9iT/zH4yfdCeLgElwn3YAT/Sh+FvXnaQMS9uMMn+6KrG4Of/CC0g/++0oV= YlvlHt8sCFfyr9OzZU/Aw+MmnzC/1D3YVvHLf+QX4yEP4+8sq3f8G9HhEnjD4ycdCu7ffmLveva= 97/Kv1DHsKPQx+8qlwun///rIFWJzetNfvi+BfY2DYU2hj8JNvhfiF3eYeKFuARY3C/0qDP59hT= 2GEwU8+5t8J1f3hwQvzsSi97Rdb8w3h8z8BRI0x+MnHwqvH36Dxd/O35jMjw57CH4OffCvMhnoa= /OHCe/gg7U9ug/9zhj1dZRj85GPhGfwAMKn8PaxRDwAAfGFi2NPVi8FPvhWmPf4GXxi9/+5+onD= F4CefCqfbOYkiFSdiIR8L/sQrkVxqX+gR7DcAhQH2+Mm3wnyohygSMPjJxxj8wRTzypFgV4HCAI= d6iIgiDHv85FPBnsiEiC6PPX4iogjDHj/5VOy/jsL8bLdgV4OIWsHgJz/gcA9RKONQD9FVIu7VY= 8GuAoUJ9vjJ53iBlyi0scdPRBRhGPzkc+rpx4NdBSJqBYd6yC843BNY8a+dCHYVKIywx09EFGHY= 4ye/iH/tBAz/1zXY1SAiNxj85Ecc7gkEzb9PBrsKFGY41EN+w0AiCk3s8ZNf8RqvfyXM4MmV2o7= BT37G5CcKNQx+8quEGaege7pLsKtBRI0w+CkA2Ov3B+3rp4NdBQpTvLhLfseA8j3+Tqk92OOngO= BFXqLQwR4/BURi3un6IR+W9hbn75LoyjH4KWAS84qCXQUi4lAPBRqHfNon6Q2ePKn92OOngHIGV= /CHS8KxMPTJVxj8FHBJb5yBJIGljYXIVxj8FBTJM88Euwphhb8v8iWO8VMQsRvrjeSZZ4NdBbrK= sMdPQZM882zQh09CvTD0yR8Y/BRUKbPOBv2iaagW5++GyPc41ENBlzLrHC4+0cGrdS2SHI+V3gq= TpHI9NzlhL36tdoZkiS0Ob1f3g1WU49GkXeikMgAATA4l5lb3RZldjanJBchRGlzbrzN1xq1xpy= ETfP7Srljqm+eCXQW6iglFxeVSTnZqsOtB5FX4H7doES+3IV1ugiAIWKbvge5RFegbXQ6HJOD5i= 7/CJO0+qAQR71b1watpmyATgI3mjrCIcnRR6fGdOQePJO0BABysS4ZWbsE1SlMAXqF3GPrkT2dK= LnKoh0KHM/BaH/7IjapGhsIEQQAkScS+ujT0UF0EIOGENQFxghW5qmrkKPVIVtTisCUZgOS6HVI= EIEIAIKFWlKHCEYNrlMagD+s0FIY+BQKDn0JK6pvFSH2z2KsLn+dsCeiqqkKUIEKSgLNWDdIVJt= fyLLkRF+xxkCRgQMx57LZkYF51b4xWn4AkAVvM12BQdEnQL+A2lNQ3i4P966cIwTF+Cklps4tR/= vg1ra5TaEnBgOhS1+MaSYl4mdX1WA4RetF5LUAts+HZ5G2uZSesWuSoDFDJRL/Uvy3SZjPwKbDY= 46eQlTa7GJIkeSwHLCnopqpwPY4TrLBKctfjOkmBGMHWYjuLQ8ApqxZdlVUotsbh6fLhmFExEGa= HvNXj+aMw9CkYGPwU0tLfKkH6WyUtnjc4VEiW1yJKcLiey1YYcc6mcT0udcSjg8LQYttttddgSI= xzLH1dzbX4g2Yfbooqx466LL+9juY8vS6iQGDwU1hoHpKHLKno32iYBwByVVXQOaJx0qrFKWsCK= u0x6KqqarJOsV2NFEUtYmV2APXfgVN/G6dNkvv7ZQBuXgtRoF3Vt3MuXbkWS1Z81eL5uNgY5C/O= 89n+38t7Fl1ystu9P1+YPf8/+HL9Fix79xWkpSQGuzputbeOZY9lYanhJvw+/iCUQtOvfTht1eJ= dfT+oBAce0u5u0uMXJeDbmmsxKu6k67kSuxpzqwcgVmbD49od0Mit8JeZqX/DngNHAQByuQxJWg= 16dOuCcWOG44ZuoT0hfTi8r8g7Z0ouXt0XdzXxcVixYDoStRo8+JdpeH7qJHTIzsCKz9Z7tf2WH= Xvxi4G9PS6fOGEMDh3z/2xIl6tHY4//6R4cPh7aX9/b3jpmzDmPp+tPAM11VukwI/U7t9vJBDQJ= fQDIVpgwPXXjFdfFGxlzzgMAZgB4a+EnSEtJxLgxw1GtM+DzdT9i6gszkffSE+jZo6tf69Ee4fC= +Iu9d1UM9Qwf1RaJW0+S5KJUSY0cPgyi2/gVhJnMtlq3+5rLHUCn9e+70th6NRamUfquPr/iijh= lzzrtKsO+/d1cu1a2p+LhYRKmUyEhLxp8mjsPIYf+F95flt/v34W/h8L4i74Rtj//PS497XPbux= FwAgDYh3u3yeHWs6+dN23Zj4bJ8KBRy3H/X7Rg+5GYAwJyFH+PE6XO4dcIUfDD7H0hN0uKNectQ= sKcQ1+d2xrOP/wGa+Lgm+338uTycLCrGG9Om4tXZH6J7bidMvm8sXn5jAeosVrzy90eQlpKIb3/= 4CUtXrkViQjyefWISMtKSMeVvM1B+sRLPPzkZM+YuQb9e3fHkw/e1qEeHrHS3228r2I+3P1iJaz= tlwyFeukXR3boN6uosbl/T91t3YtHHX0IQBDw9ZSJu6NYFo37/GDLSUrDorRfx4oz3sK1gP9Ysy= oM6LsbtMR5+ejrKyisxbswwbCvYj3dn/B0/7Trgto6e2qAtMuY4x/tLH81s87a+or6mT5PHxtfG= AADi/7a21e1G3TIIU1+YCb3BhASNGmil3Ty1GYAW7fbUi7M8tpm7Y7z0+nyv2ww+ajcKjrDt8dc= 6BI/FW2eLy7D6y+8wZ/ozeH7qZMyatxwni5y31/11ykRoNWqsX/k2OmSl4/S5Umg1aiyf9y8kaN= Q4eORki/3lTXsCoiTBYrVi7vRnUHj0FAr2FuK1Fx5Dzx652HPgKIrOleLCxSosmPk8RgwdiEUff= wEAeP3Fv8BitUGSgHmvP4vtBfthMJpb1MPd9hcrdVj08ReY/a+n8MDdd7heg6djNXD3mk4WFWPD= pp/xzr//D/eMG4kNm3YAAObnPefa7plHH3CdPD0d481XnoLVZsNtwwfhvbxnUVmtd1vH1trgSmT= OLXWVQMqcWwqZTe+2XE5yYgIAwFxTC1ym3Ty9D921m6c283QMb9sMfmg3Cqyw7fHXOrxY6TJ+3l= OIQf17QqtRQ6tRY/Svh2DvwWO4tlPLfxzqntsJaSmJ+M+n67C9YD+G9O/VYh2lQgGZIKBnD+dfH= LldOqLbtTmIjYlGdmYq7HY7Co+cxJIVX7kuOjd86JVKBaJUSvS+8ToAQFpqMmw2O2Jiopocw932= P+06gBG/GoCUJC1SkrTI7dzB47qXe017Dx7DiKEDEBcbg9uGD8JtwwcBAJIabRsXGw1NvLrVY6i= UCqiUSldP1VMd29IGbeUu/M9PyWj3frPeLnP7vGC9fMi7U1nt3K7hd9xau3l6H7prN5O51rVd4z= bzdAxv2wx+bjfyv7ANfqvN3u59SACqqi/d9ZGUqIFc7v6PoNNnz2POwk9w/123Q/JyHjzn98k0X= dchipj2zEMY3L/nFdXZ3fb/WbMOYqM/wwVB8OpY7l6TKIowmmraVR93TOYat3VsSxv4gqfQ9gWH= re6Ktvtm4zYM6HMDoqOc/2Xc2u/U0/vQF+0mNhvK8dRmCEK7kW+FbUtZrVaPxVt9b+qGb77fjsP= Hi2A01aBgzyH0790DACBAQG2dBXUW5/4K9hSiZ4+u6Nq5AyqqdLDabLDbHajWGaA3OL/ZUac3wu= 5wwFxTB1EUUa0zolpnhChKqNYZUaUzoHtuJ3y0ai2Kz5fDXFOHH7buAgDoDSbU1llQW2eB1WqD0= WSGzmBsUY8e13VusX23a3PwxbrNKDpXCp3eCL3RDLvd7nbdxty9ph7dumDl5xtw7vyFJtsoFHJU= VFajokqHw8dOo6a2rtVjVOuMsNkvnZw91bG1Ngg3NpvNbWnOXFMLm82O8ooqLPwoH99v3YVJ997= pWt5au7lrMwBu281Tm3k6hrdthst8dij0yZ948umXtJo4L1YNLYs2n4PD4XBb7h986TY/URQx8q= 5HYTSZ8dX6Lcjt0hEdstIBAElaDbQJasyatxzf/vAT7v3tbbixu/OWOplMhiMnirB2w1YMGdALa= nUsFizNR0WVDt1yO2HLz3tReqEC320uwPpNOzB29DBMy1uAsvJK7D5wFKUXKvD9lp34bnMB0lMT= MX/pGuwrPI4RQwciNSUJee8sxU879+P2kb9AgkaNp6e9hfKKKhw8chIHj5zEvsLj+H7rLtw7flS= TemSmp0ACmmzfrWsO6ixWzH1/BWw2O3R6A5Z/+g3+/ODvAAgtjtVAqVK2eE1jRw+DTBAwc94y7C= s8hjtHDYU6LgYKhRx6ownzl6xBv97dsefAUXy1YQv+eN/YFvVJ0Kjx5D9moaJSh5NFxRg+5GZkp= CV7rKM2Id5tG4Qb/Zevw+EQWxT1mKcAAM/88y1s2rYbu/cfwbLV32Dj5gIkaNT46yMTmwyRJCUm= uP2dwkObDe7fC1npKRBFsUm7aTVqt23229uHuz3GtLwFXrXZ3WNHIikxweNnh0Kb3lhzdf8DFxE= RNcXv4yciikAMfiKiCMPgJyKKMAx+IqIIw+AnIoowDH4iogjD4CciijAMfiKiCMPgJyKKMAx+Iq= IIw+AnIoowYfu1zN5omHWouRee/CN+NaiP2208CbfJpsOtvpFg6cq1ru+/bywuNgb5i/N8tv/38= p5Fl5zsdu8vmMLt/Rtu9b2qg3/aMw9hwUf5SNJqMP6OW4D6SS9OnDrX5n2F22TT4VbfSKCJj8OK= BdORqNXgwb9Mw/NTJ6FDdgZWfLbeq+237NiLXwzs7XH5xAljcOjYaR/W+Mrr0l7h9v4Nt/qGbfD= n53uenHrs2LEelyUnJiC5X4LH5a0Jt8mmw62+YW/7CPfPD9oAABg6qG+LeaCjVEqMHT0MoihBJv= M8bajJXItlq7+5bNiqlP7/SHtbl/YKt/dvONU3bIPfbm/7DFx2uwNbf96HoYP7AoDHCc4b8zSJO= dxMVp2gUeOfbyyEw+HAXb+5FTf36g60YVJzTo4d7i60urR56DdoPBeupzaas/BjnDh9DrdOmIIP= Zv8DqUlaj5OuN3j8uTycLCrGG9Om4tXZH6J7bidMvm8sXn5jAeosVrzy90dcwxLN31svz3zf42e= jeV06ZKW32H7/oeNe768xft4CI2wv7nqahMXhaDkZ77zFq3HrhCkYfc9fsPXnfa7nPU1w3sDTJO= bwMFn13oPH8MuBvfHCk5NxtvjSfK/eTmrOybHDXbmH4p3W2uivUyZCq1Fj/cq30SEr3eOk643lT= XsCoiTBYrVi7vRnUHj0FAr2FuK1Fx5Dzx652HPgKODhvdXaZ6N5XZpvP/f9FW3aXwN+3gInbHv8= 7gLek4cfGI/xd9wCm92OLTv2up73NMF5g9Ymm3Y3WfXECWOw+JMvAQCjbhnsWtfbSc05OXa48z7= k3WlLG3madL0xpUIBmSCgZ49cAEBul47odm0OYmOikZ2Z6vqr2d1763Kfjcaabx8XE40duw+2eX= /8vAVO2AZ/W+bWbaBUKNr051Zrk017mhB7+nNT8PXGbXjqxTcx6+UnER2l8tuk5pwcO7TUenhLx= ni5fVvayNOk660RBLhd1917y9aGodTm23++7kekJGnbvD9+3gIndGrSRhaLxWNprq7Rc3qDCR+t= +hqSJHmc4LxBa5NNu5useseugygpu4ixo4chLSUR5RVVQBsmNefk2OGtzua+eKu1NhIgoLbOgjq= L8+zi7j1ltztQrTNAbzABAHR6I+wOB8w1dRBFEdU6I6p1RoiihGqdEVU6AyRJcvveau2z0bwuzb= evqalt0/4a8PMWOGE72fr27ds9jvEPHDgQqL+P/5uN27H34DEsXbkWS1euxYrPN+DmXt1xU/euH= ic4//24kQDQ6mTTyW4mq5bLZSi7UInnXn0HvW+8DsOG3AxBELye1JyTY4c33ZFpsDvQosTnvuRa= RxRFjLzrURhNZny1fgtyu3REh6x0AECSVuOxjWQyGY6cKMLaDVsxZEAvqNWxLd5TpRcq8N3mAqz= ftANjRw/DtLwFKCuvxO4DR1F6oQLfb9mJ7zYXID01EfOXrsG+wuPo2/N6XJ/bqcV765VZH3j8bD= SvS2Z6SpPt7x43Epp4tdf7a8DPW2BwsnUiogjDydaJiCIQg5+IKMIw+ImIIgyDn4gowihQP9hPR= ESR4f8BwjSTDE3Js8oAAAAASUVORK5CYII=3D" width=3D"382" height=3D"166" alt=3D"= " />En relaci=C3=B3n con la articu= laci=C3=B3n entre la gesti=C3=B3n administrativa digital y las pr=C3=A1ctic= as pedag=C3=B3gicas representado en la Figura 3, 13 de los encuestados que representa al 65% de l= os docentes expres=C3=B3 acuerdo, mientras que 3 de los mismos que represen= ta un 35% indic=C3=B3 desacuerdo, lo que reflej=C3=B3 una integraci=C3=B3n = parcial de los procesos institucionales.Figura 3La instituci=C3=B3n provee pr= ogramas de formaci=C3=B3n continua en competencias digitales avanzadas y ge= sti=C3=B3n del conocimiento<img sr= c=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAbgAAACyCAYAAAAwJtphAAAA= BHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAH59JREFUeJzt3Xl8E2X+B/BP2vR= O0/uilLtggQWUS8BdQBFE/K2gAiqirrgKgqKo7Iq6ihcKFURQORXBIlA5PGBVUGTlrshZBNpKoQ= fQM22aNPf8/qANtE16Jp1k8nm/XsMrnc7xnZk8/fA8mSSy7NwCAURERBIjB4D28VFi10FEROQwF= /IK4SV2EURERM7AgCMiIkliwBERkSQx4IiISJIYcEREJEkMOCIikiQGHBERSRIDjoiIJIkBR0RE= ksSAIyIiSWLAERGRJMnFLoBIqrZt21Zn3h5tDyx6MFGUeog8DQOOqIVsBZk9AoBn12c0uNwHDEG= iFpNl5xYI/DYBoqapL9SycwvxS9ofiIsKxfCB3eHrI4e2Uo/vfjkGjSwYbW++G3IfXwCApjAH8o= Bg+ClC693f4kkMPKKmuJBXyIAjaoytW7c2ajltpR7bfjqCu2/ri/O5hdDpDejXsxOOn7kIpSIAR= 4qV8AkIhrJtV5gNemgKLkDZtmuTavmQYUfUoAt5hRyiJKpPY4OtWs7lEnRoE4mgAD8kto/Fhu0H= 0K9nJwCAxWKBBTKYBQEWASjLO4eQ9j1gaeJXDs/44toQ59KHGHZE9jDgiGxoarBVK6+oRFCgPwD= Az1cOo8kEo9GELu1isON/x1CBYsQPvBuaohwERLYFZF5oYr7VML0q7D5i0BHVwYAjuk5zg62aTC= aDt/e1d9+YLQIEAEGBfhh/x0Ds1PSE2aiHSaeFf3hbXD62C9qiPMT1HwP/kMhm7/epLzLwMUOOq= AYGHBGALVu2OGQ7ikA/lJZpIAgCdHoDAvx8IPf2giBc7acJAqDOOwdlQg/o1cUQBCC232iozh9D= TO8RLdr3tHVXe3OfTGbQEYEBR57OUcFWLSEuAkfSs/GXbgn4M6cA3Tq2gUwms/5eW5QH//C2gNe= 10AMAWMx1hiqLTu9F2Z9H0faWifALjQYAmPWVuLBzNQSLCWHdbkZ4t5th0mlw6fA38PKSI3bg3Z= haFXRTbxQQFRmG+FjeREaeiQFHHsvR4QYAgf6+GNCrEzb99xDiY8IwbECS9Xd6gwlGXQX8I+IhC= ICPIhIymRcuH/4W0X3HQKiVcBFJt0AwmSBU9fwAQH0pEx3umAaZtzdwXY8wLHEAjBoVtFeyoYi/= eofmgm8vQBHfFcsfZsCRZ2LAkcdxRrBdr0u7GHRpF1Nnvp+vHIr4btd6al4yRPS6FRFVP9q62US= 4brKYDCjPPg7BZIQioTu8ff2rFhIgCAIEyGDB1df8KvLPIbh9DwgAnlibgRUPc9iSPA8/i5I8ir= PDrSFCE6fr15HJfRE7aDy8A5W4cvgbmPRaCAAC23SFKuMwtJcyERDVAZVFOfC/7g5NAcA/1zb86= SlEUsMeHHmMzZs3i11CnWHIBpev+qd6PS8fPwTGdoGXjx8qcv6AsnNfePsrEPfXBwEAlqo7NH3D= 2qLw+C7oi/MQ2XcM/JSRePzzDKx6hD058hwMOJI8Vwi2agJkjViq7jq115MHR0FXnFdnviY/A0E= JPWCoKAEEIPKmO6HOPg7fXlfv0JzyeSYAYPUjXVp0HETugEOUJGmuFG6o6sE1ZYKNeWaTCerzx+= Ef1bnG/MqiXPiGVw1NXve2BMFirrONx9Zkin0qiJyOAUeS5WrhBgCWJkyqs/tRceEYruxNgUFbh= sqSfBSkfY3Cw1sgD42BPDTauqzRaIBJXwFvRRgsALwVkYDMC0VHvkFQ+942t/8oQ44kjh+2TJLk= iuEGAN+oe4tdQh2fP8rhSpKeC3mF7MGRNAnVt8673NT0YUpnTw9/xp4cSRMDjiTnq6++ErsEu5r= 6NoHWmiYz5EiCGHAkKa4cbnCBIKtveoghRxLDtwmQZLh6uKEZ74MjouZjD44kITU11QVeX2vE5A= I9tfqmBz9lL46kgwFHbi81NVXsEhpN7BtKGpo+KXkJZcnjxT5NRA7BIUqiVuSqI5TLS/4tdglED= sceHLk1d+q9wQWGIG1Ny0v+VWdu2YJ7xT5VRC3GHhxRK3K1m0xWlbwodglETsOAI7e1adMmsUto= MlfJt9UlLzS4TPn8sVDO3tYq9RA5A4coiVqR6HdxCgJWlzzf6AHM8vl3i33KiJqNPThyS+7Ye0N= VwInls9KGe21EUsIeHLkddw03MX1W2vheW51e3Hv/J3b5RM3CHhxRKxKjB7em9PlW3yeRK2DAkd= sRc5ivpVqz9s9Vjgu28nfHQPnv7Q7bHlFrYMCRW9m4caPYJbRIawXcujL22ogYcEQSs071nNglE= LkEBhy5jY0bN8JiEbBzfzoG39gFwUH+uJhfjL1HMxATocRf+3aFr48c2ko9ftx/GnJvL9w+uAf8= fK8+zfMLVAgK9EOIIkC0Y3BmD+6LMucGm3reKAS/9INT90HkSAw4chuCIOBCfhF0eiMAQKPV4dD= JP3H3rTfiQn4x0jPz0OeGdsjKKUSfGxJQXlGJ3Msl6JQQBb3BhEqdAXFRIaK+huesfac4OdyI3B= EDjtxGhVYHH7k3Avx9AAB5BSq0iw1HoL8vOrWNwpadR9DnhnZA9RuqAViqAuV8biG6dYwVtX5nS= Cl7VuwSiFwW3wdHbmH9+i+Rd0WF+Jgw6zy1RofAAD8AgJ+vHCazGUajCZ3aRuHYmYu4mF+MhNhw= XCpUIS4qBDKZTMQjuMqRn0iSUjaz1T+aWf3OCLFPIVGjsQdHbiHncgnaxYXXmCeTyeDtfe3/aCa= zBQKAwABfjL3tJgCAwWhCpc6ImIgQ7P09A5cKy3DbzUkIDwlq9WOAA4coN5Sz50bUEAYcuYWT53= Jxpbjc+vPFS4dxc+/OqNDoAAB6gxEBfj7wkXvXWO98bhES28dApdZCEIBbB96A01n5uOWmxFY/B= kfYUD5T7BKI3AYDjtzCmKG9rI93HTiNm3t3hre3F7bvOYGkznG4kF+MLu1igOt6SZcKyxAToYRM= Vj3v6tCe2WwR7UaTlux3o9o1wq3i7eFQvLxb7DKIGsSAI5f35Zdf2pwf4OeDm7q3w7afjiIuKqR= Gr0xvMEGr0yMuKgQAEBocCC+ZDD8d/APDB9zQarXX1tyA26R+xuG1EEkdA47czohB3a2PO7WNQq= e2UXWW8fOVo3NCtPVnLy8ZBt/YpdVqtKepAZdawWAjai4GHJGLSlU/LXYJRG6NAUcuz50/XLm2x= hzLVxUMNiJHYMARtaKGAm6LhuFG5CgMOCIXsaVihtglEEkKA46oFdnqwW3VuF+wad4YhKD/HBC7= DKJ6MeDIpaWkpIhdgkPVDrhtmumi1UIkdQw4IpFs0zwldglEksaAI5cmpTsoUXU8X2sZbEStgQF= H1Iq+1kwTuwQij8GAI2ol92QuErsEIo/C74Mjl/bQQw859DvUxJruyVgICIK0JiIXxx4cUatgIB= C1NgYcuTx3v9HkvqyFYpdA5JEYcEROdF9mstglOEXgGyfELoGoQQw4Iie5L3OB2CUQeTQGHLk8t= x2idNe6iSSCAUfkBBMy54tdApHHY8CRy3O3HtzELIYbkStgwBE50MTM98QugYiq8I3e5PIeffRR= sUtoAsFDJiLXxx4cuQV3GKacmPmuR/zpD3z7rNglEDUKe3BEDjAx812xSyCiWtiDI7fgDj04InI= t7MGRW3jsscfELsGuiZnviv5hzq01cXiS3AkDjqgFODRJ5Lo4REluw9WGKSdmvucRN5UQuSsGHF= GzMd6IXBmHKMltTJkyRfTXoKonTxyaVMzLELsEoiZhD46oiTzl/W5E7o49OHIrjz/+OHtuIgh+N= 1PsEoiajD04oiZwsftciKge7MGR2/nnP/8pyn6v9t7E/gzI1p+U77H3Ru6JPThyS639lgG+JYDI= /bAHR27piSeeaOU9it+TEmMKmZ/VyueZyHHYgyO31Vq9uPuz+B1vRO6IPThyW08++aTT9zEx8z0= IAlx+MluAdy71RYHB3zqv3OSDSedvx33nR2NTSWeUGn3xr7xBeDV/ICpMcutyJ7XhyDcE1tlmyP= w/nX5+iZyJAUduzZkh5043lfymjYba4ltj3gFtLD5rtwupHXZgfFgm9mnicG9oFvoHXsZxXSQAA= RqzHOUWX8T5aGxsl8i9cYiS3J6zhird5S0BRSZ/+MlMCPXWAVW9L53FCz+Wt4Pe4oVhQblQeJtg= AWC2CBAgg7lquf2aWNyqyKlzrGHJ58U6HCKHYQ+O3N7UqVMdvk136b1ZBAHHKyPRK6Coxnx/LzN= ejzmIKG8t3ivoh3KzHIMD87G1vAvSNNG40b8Q6bow9PAvgpes5jYZbiQVDDiShKlTp3rkp5UcqY= xB/8DLNn8X5G3EwKAruD/sLPZUtEW4XI934/bhjbiDkMkElJn8ECPXYnlxT8zMG4qLBgXCkrNb/= RiInIUBR5Ixbdq0Fm/DXW4qqZ6+KeuEx3NHYsKFMUirjMNT+beh2OhXY5kEuRqVgrzGvP2aOAwI= vIwcQzAsgheejfwdP/eY45DrQOQq+BocUQ1u8sJblTdi91sfLyjsi3+EpSNcrrPOM1i88IO6Pfo= GXLEe22ldOJL8iuEts+DqK3IWAAKMRpMox0DkLOzBkaRMmzat2UOTEzLeFb1H1pIJ1z0+owvDew= X98U7BQHT0LUNH3zIIAqAxyVFi9kOcXANBANrK1fCGgPdNY3H3HUPFvnxEDiXLzi0Q2sdHiV0Hk= UN9/PHHTVrenV53c7SIhRfFLoHI4S7kFbIHR9L01FNPNbEHJ34PTIyJ4UZSxoAjyZo+fXqjlpuY= 6ZkfxRW5iOFG0saAI0mbPn16I94SIP772Vp7YriRJ2DAkeTNmDHD5nx3e0uAo6bIRTmtfg2IxMC= 3CZBHqA65pUuXXjfXvd4S4AhRH+SKXQJRq+FdlORxlixZ4nGvu0UvZrCRZ+FdlOSRnn76abFLaF= UMN/JUHKIkj1T9R79gZrzYpThV9OI8sUsgEg0Djjxa9OI8XHlGeiEX8yGDjYgBRx6vOgykEHQMN= qJrGHBEVarD4fLTbcQupVlil+SLXQKRS2HAEdVSHRTuEHQMNSL7GHBEdlSHx6UZcWKXUkfc0kti= l0Dk8hhwRA24PkzEDDuGGlHTMOCImqB2yDgz8BhoRC3DgCNqAVshlD89tknbaPPRZQdWRETVGHB= EDsbAInIN/KguIiKSJAYcERFJEgOOiIgkiQFHRESSxIAjIiJJYsAREZEkMeCIiEiSGHBERCRJDD= giIpIkBhwREUkSA46IiCSJAUdERJLEgCMiIkliwBERkSQx4IiISJIYcEREJEkMOCIikiR+o7dI1= qXuwNpN2+vMDwoMwLbPkx22/eXJc9CpfXyLt9dSi1d8ie927kXKJ28hOjJM7HJscsUaZ7/xIY6e= PAsA8Pb2QnioEt27dcK4O4ejR7dOYpdnlyueS/I87MGJRBkchE0r52Fn6keIj4vGJ/P/je9SPsC= 9d93a4Lp7Dx1rcJnJ4+9Evz7dHVRty2oBgJlPPIDOHdo6vZ6WcMUa5//nGfzfqL9hyqS78fXahV= j4xixER4bjuVcX4sTpTLHLs8sVzyV5HvbgnGBmSobN+YsnJVofDx10E0JDgmv83s/XB2NHD4PFI= sDLS2ZzGxWaSqRs/h63DOzTYB2+Ps69vE2pBVXH5+pas8ayBffanB/y4uY684KDAuHn64PY6Ag8= MXkcytUarE7ZhsVvv9AKlTaPO1xvkjYGnBNUmhtepna4VQtWBFof79n/O1albINc7o2HJ4zB8CH= 9sGTVBmSez8Ht46fj08X/QVR4KN5floK0o+m4IbEj5sz8B5TBQXW2O/PlZGRl5+L9uc/hncWfIS= mxA6ZMGos3318Jnd6At156CtGRYfjxl4NYl7oDYSHBmPPsY3hz4WoUFBbjlVlTMH/pWvTtnYRZU= ycBQJ1aEtrE1Fn/zwt5+OjTVHTuEA+zxVKjptrLxkZHWH+n0+ltHtfufb9hzYbvIJPJ8OL0yXj+= tUWIjY7Emg9fw2vzl2N/2glsXZMMRVCAzX28vmAFLhcUY9ydw7A/7QQ+mf8SDh45abdGW9fAUby= M5c1e945bB+G5VxeirLwCIUqFx59LIls4ROkElWaZzakpLuZexubvfsKSebPxynNTsGjZemRl5+= KF6ZMRqlRgZ+pHSGgTg/M5lxCqVGD9srcRolTg1Jksm9tLnvssLIIAvcGApfNmI/3sn0g7lo53X= 30avbon4ujJs8jOuYQrhSVYufAVjBg6EGs2fIsFrz0DvcEIQQCWLZiDA2knUK7WAECdWmqvv+zz= zViz4Vssfvt5PDLxLmRl51rrsbWv69k6rqzsXOzacxgfv/cvPDBuJHbtOYQVyS9b15k945Ea/0G= wtY8P3noeBqMRo4YPwvLkOSguLbNbo71r4ChexjKbU2NEhIUAADTaSp5LIjvYg3MCXSN6cA05fD= Qdg/r3QqhSgVClAqNvG4Jjp86hXdvYGsslJXZAdGQYvtzyAw6kncCQ/r1tbs9HLoeXTIZe3a8Ok= yZ2aodundsjMMAf8XFRMJlMSD+ThbWbtltvfokIC4GPjxx+vj7o07MrACA6KgJGo8nmPmqvHxjg= j0n33oHI8FBEhocisWOC3WWr/2DXd1zHTp3DiKEDEBQYgFHDB2HU8EGo0FRa1wkK9IcyWFHvPnx= 95PD18bH2cA4eOYkRfxtgs0Z718BRry21pAdXXHo1CMPDQvDT/w57/LkksoUB5wQGg6HF2xAAlJ= Re+wMYHqaEt3fdDvf5i/lYsmojHp4wBoIgNHr7MhnqLG+2WDB39pMY3L+XdZ7RZDvMbKm9/pdbf= 6ixvkwms7tsY47LYrFAXaFtdj3V27hehUZbY971NTb2GjSXwWC0OT+gEet+//N+DLixB/z9fHku= iezgM8wJDAaDzakpbvpLN3y/+wD+yMiGukKLtKOn0b9Pd8ggQ6VOD53+6vbSjqajV/cu6NIxAUU= lKhiMV/9omkxmlKrKUVZeAQBQlalhMpuh0epgsVhQqlKjVKWGxSKgVKVGiaocSYkd8MVXO5CbXw= CNVodf9h1BWXkFKnV6VOr0MBiMUFdooCpXA0CdWrp37VhjfV2lHt/+8Cuycy5BVaZGmVoDU1Xg1= V72l31Hahy/rePq3q0TUr/ZhZz8K9Z15HJvFBWXoqhEhT/OnYe2UlfvPkpV6hqh261ze7s12rsG= jmI0GmxOtmi0lTAaTSgoKsGqL7Zh974jeOzBv/NcEtXD+9lZL74eqqx7UwI132f/uwiz2VxnemR= IzfejWSwWjJwwA+oKDbbv3IvETu2Q0CYGABAeqkRoiAKLlq3Hj78cxIP3jELPpC7w8vLCmcxs7N= i1D0MG9IZCEYiV67ahqESFbokdsPfwMQzu3xubt/+MnXsOYeeeQxg7ehjmJq/E5YJi/H7yLC5dK= cLuvb/hp1/TEBMVhhXrtuJ4egZGDB2IqMhwJH+8Dgd/O4ExI2/BW4s+RUFRCU6dycKpM1k4np6B= 3fuO4P5xI+vUEhcTCQGwrj/pvtHw8/XF0tWbYDSaoCorx/ot32Pi2JGICAupseyYkbcgRHltSMz= H16fOcY0dPQxeMhkWLkvB8fRz+PsdQxGqVKBMXYEVa7eib58kHD15Ftt37cU9Y4Yj3MY+5iavRF= GxClnZuRg+pB9ioyOg0xts1hgeFmLzGjiK6tv5MJstdabgMdfujJz9xofYs/93/H7iDFI2f4+ff= 01DiFKBF56abB3es3WcnnYuiWorU2shy84tENrHR4ldCxERkcNcyCvkECUREUkTA46IiCSJAUdE= RJLEgCMiIkliwBERkSQx4IiISJIYcEREJEkMOCIikiQGHBERSRIDjoiIJIkBR0REksSvyxFJ9Tc= m1/bqrMfxt0E3Nmlbi1d8ie927kXKJ28hOjLMgVU6h7vVK6Z1qTus38F2vaDAAGz7PNlh21+ePA= ed2sc3Yg3X5W7PK3er1x0x4EQyd/aTWPnFNoSHKnHvXbcCVV9imflnTpO3NfOJB/BHRrYTqnQOd= 6tXTMrgIGxaOQ9hoUo8+sxcvPLcY0iIj8Wmr3c2uO7eQ8dwy8A+9S4zefydOH3uvAMrbn4tLeVu= zyt3q9cdcYjShUSEhWBg357NWtfP18fh9TiTu9UrlqGDbkJYqLLGPD9fH4wdPQwWi/0vuK3QVCJ= l8/eN2oevj3P/n9uUWlrK3Z5X7lavu2EPzgm2bt1qc/64cePsrmMymbHv8HEMHXwTAGD6v+ejoL= AYr8yagvlL16Jv7yTMmjqpxjr7007go09T0blDPMy1vl35x18OYl3qDoSFBGPOs48hRKnAG++vg= tlsxoS7b0e/3knQ6fR4f1kK0o6m44bEjpgz8x9QBl/9bsDd+37Dmg3fQSaT4cXpk/H8a4sQGx2J= NR++Zh1e3bomGYqgAJv7e33BClwuKMa4O4dhf9oJfDL/JRw8ctJuvXv2/45VKdsgl3vj4QljMHx= Iv2aefTdyYKjt+YP2WB+GhgTbXCRYEWh9bOvcLVm1AZnnc3D7+On4dPF/EBUeavdaX2/my8nIys= 7F+3OfwzuLP0NSYgdMmTQWb76/Ejq9AW+99BSiI8PqXO83F662+3ytXUtCm5g66584nVHj59joi= Ea1AdTTDmrvIzY6ApU6faPbQe020KNbJ9xx/9N224Gt/U19cV6j24FHtgEnYw/OCWx92anZbLa5= 7LLPN+P28dMx+oFnsO/wcev8Ba89A73BCEEAli2YgwNpJ1Cu1lh/X1iswpoN32Lx28/jkYl3ISs= 71/q77JxLuFJYgpULX8GIoQOxZsO3OHbqHP46sA9enTUFF3MvAQDO51xCqFKB9cveRohSgVNnsg= AAWdm52LXnMD5+7194YNxI7NpzCCuSX7Zuf/aMR2r8gbW1vw/eeh4GoxGjhg/C8uQ5KC4ts1vvx= dzL2PzdT1gybzZeeW4KFi1bX+P30nXFztR49s7dC9MnI1SpwM7Uj5DQJsbuta4tee6zsAgC9AYD= ls6bjfSzfyLtWDreffVp9OqeiKMnz9q83vU9X2vXUnv9pas31dkeGtEGUE87sFUjgEa3A1ttAID= ddmBvf41tB57bBpyLPTgnMJlMjV526iP34t67boXRZMLeQ8es83185PDz9UGfnl0BANFRETAar2= 334JGTGPG3AYgMD0VkeCgSOyZYf5d+JgtrN2233pwQERaCyePvxOcbvwMA3HHrYABAUmIHREeG4= cstP+BA2gkM6d8bqPojMGLoAAQFBmDU8EEYNXwQKjSV1u0HBfpDGayod3++PnL4+vggNjqiwXoP= H03HoP69EKpUIFSpwOjbhuDYqXPWb6yWroIWb8HeuWvXNrbGcvaudW0+cjm8ZDL06p4IAEjs1A7= dOrdHYIA/4uOiYDKZbF7vhp6v16u9flCAPw79fqrG9tCINoB6nle2agSAdvExjWoHttoAqr49vd= r17cDe/hrbDjy3DTgXA84JmhJw1Xzk8iYNSVRotLBcN7whk8msj80WC+bOfhKD+/eqsc68l6fjv= z/vx/OvfYBFb87CpStFWLJqIx6eMAaCcO31HIvFAnWFttG12NqfpdYQZH31CgBKSsutP4eHKeHt= Lf3BBYtQanN+U468sefu/MV8m9e6ITIZ6ixv63obm/Ccr73+Nz/8D5HhoXWer41h73llrw3Ex0U= 3qh04og00pV5PbQPOxjPoBAaDweZki06vtz4uK6/AF1/9F4IgoKy8ApU6PSp1ehgMRqgrNFCVq6= 3LduvcHt/+8Cuycy5BVaZGmVpjDdbuXTvii692IDe/ABqtDr/sO4JDR04h73Ihxo4ehujIMBQUl= SDtaDp6de+CLh0TUFSigsFovLp+t05I/WYXcvKvWNeXy71RVFyKohIV/jh3HtpKXb37K1Wpa/zR= q6/em/7SDd/vPoA/MrKhrtAi7ehp9O/T3UlXx3VUGmxPTWHv3MkgQ6VOD53+6gbtXWuTyYxSVTn= KyisAAKoyNUxmMzRaHSwWC0pVapSq1LBYBJSq1ChRlSMpsUOd613f87V2LbWfL1ptZZ3toao91N= cGUM/zytZzEkCj24GtNgDAbjuwt7/GtgNPbQPO5v3srBdfD1XWfbGZmu/QoUM2X4Pr1+9aD+21+= cvx/c8HcOzUOaxL3YF1qTuw6Ztd6Nc7CX9J6oIX536IgqISnDqThVNnsnA8PQO79x3B/eNGAgBi= oyOg0xuwdPUmGI0mqMrKsX7L95g4diQiwkIgAEj+eB0O/nYCY0beAm9vL1y+UoyX3/kYfXp2xbA= h/eDr54OV67ahqESFbokdsPfwMQzu3xttYiJhsViwcFkKjqefw9/vGIpQpQJl6gqsWLsVffsk4e= jJs9i+ay/uGTMc4Tb2Nzd5JYqKVcjKzsXwIf3qrTc8LAShIQosWrYeP/5yEA/eMwo9k7qIeAVbh= zpjLkwW1JkCO79eYzmLxYKRE2ZAXaHB9p17kdipHRLaxAAAwkOVNs+dl5cXzmRmY8eufRgyoDcU= ikCb13rz9p+xc88h7NxzCGNHD8Pc5JW4XFCM30+exaUrRdi99zf89GsaYqLCsGLdVhxPz8CIoQM= RFRle43q/tehTu8/X2rXExUTWeL5MHDcSymBFje2FKBUNtgHU0w6mPXofAFmdbVZotY1qB2NHD4= OXTFajDSiCAiCXe9tsB49PGlunDYQoFZj1n0WNagfTHr0PoSHBHtcGnKlMrYUsO7dAaB8fJXYtR= EREDnMhr5BDlEREJE0MOCIikiQGHBERSRIDjoiIJIkBR0REksSAIyIiSWLAERGRJDHgiIhIkhhw= REQkSQw4IiKSJAYcERFJEgOOiIgkSY6qD6UkIiKSkv8H1594tgI1NEEAAAAASUVORK5CYII=3D"= width=3D"440" height=3D"178" alt=3D"" />En cuanto a las entrevistas realizadas al personal directivo repre= sentado en la Figura 4= , se evidenci=C3=B3 que el 100% de los participantes afirm=C3=B3 que la ges= ti=C3=B3n digital se articula principalmente a trav=C3=A9s de procesos admi= nistrativos automatizados, asimismo, se identificaron limitaciones organiza= cionales, t=C3=A9cnicas y presupuestarias, entre las que destacaron la resi= stencia al cambio, la conectividad inestable y la falta de financiamiento p= ara la innovaci=C3=B3n.Figura 4<span= style=3D"font-style:italic">Existe una alineaci=C3=B3n efectiva entre las = plataformas de gesti=C3=B3n administrativa y las estrategias de innovaci=C3= =B3n did=C3=A1ctica en el aula<img= src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAADGCAYAAAD8H9aSA= AAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAIABJREFUeJzt3Xl4U2XePvD7= ZOuWpklXoC0UsCLIJgKKOAozDIo6M6CvK+L+ExVEROV9xx11xhmsILghoINCEUGEUWBwQBFlr8j= WagUKBVq6t2nTJc12fn/QRtomJT1NerLcn+t6LtqTs3zDc07uPs9pEyG/oFQEERFRB6SlJAoqAO= iVnCB3LUREFCBOFZYBABRyF0JERIGJAUJERJIwQIiISBIGCBERScIAISIiSRggREQkCQOEiIgkY= YAQEZEkDBAiIpKEAUJERJIwQIiISBKV3AUQ+Zv169cDALbXXwoAmH9XuswVEfknBgiFlOZw8ETz= 21TPXHnMo/XfYtBQiGGAUFC7UGBUVtdiy85s2O0O/HH0QCTE6gAA5kYr8neth8VUiZ5X/gnhMb+= 9Y3VF3kHE9hkMQWg5A3x+0DBMKBQwQCiorFu3zuN1HQ4RW3Zm45oRl0ClVOCb3Tm49fqRUCgUyD= tdAm1CL0RcPALlR/cjZfj1AIDa0tOISkiFAMVvQxQXZma2HLW8NZmBQsGHAUIBryOhcb7iciM0a= hW6xccAALRR4ThbakRKt1iI4rl0EEVAFEWIAOzWRlgaahCV2LO97HDpifMCZQHDhIIEA4QCltTg= aFZprIVeF+n83hAdiZraBgBA356J+PH7E6g8cQApI28EAFSfyYW+56WdrJphQsGDAUIBp7PB0cx= isyNM89sloFAo0NBoAQCEh2nQc/Qtzsfqq4oRpk+CoFJ1ePTRnhmZx7CQIUIBigFCAcNbwdEsTK= 1CfUOj83urzY7ICE2b9Rw2GxqMJYjtPQSNNZUoyNoAdaQOycMnQKkO63QdM5pGJAwSCjQMEPJ7X= 3zxhU/2a4iJwvHTJc77HVU1deidEv/b/Y+m9aoLcqFL6Q8RQMWJA+g2ZCzMxnJUFx6FIW2Q1+p5= vClI3maQUIBggJDf8lVwNEuK06G+wYLSihoAImrrzEhquqHerNFUAXWkDkp108hEFAEI57522H1= SF4OEAgUDhPySr8MDTfc8/jDqUmzdnQ2lQoHxVw+CSql0Pu5wOFBXcgqGvsPQNCiBoe9lOJu1CU= p1GHqMuMm53BemrzgXJO/czSAh/yTkF5SKvZITPFiVyPe6Ijg89W2996anOoshQv7kVGEZ0lISB= b6ZIvkNfwoPNN0D8Zc2bYVnb6dC1JU4hUWyW7t2rdwlBITmEHmXoxHyExyBkKwYHh3H0Qj5CwYI= ycbfw0Puaav22mMMEfIDDBCShb+HB+AHKXGB9thyhgjJi/dAqMt9/vnncpfgER/+hq7XPNoUIu9= P4X0R6nocgVCXCpTwCDSPcjRCMmCAUJcJtPDwg1mqDrVHGCLUxRgg1CUCLTyI6MIYIORzgRoeco= 8opLSpHIVQF2KAkE+tWbPm3Cf6BWCTPQ0ktqmfMESoazBAiNzwgyyQ3B5miFAXYICQz6xZs0buE= kIaQ4R8jQFCPsHwIAp+DBDyumAJD7mnobzR/h9HIeRDDBDyqtWrV8t+89trN9GDBEOEfIUBQuSG= KAZPe+hjhgh5HwOEvGb16tVyl0BEXYgBQl4RjOEh9/0Lb7cHOQohL+O78RK5JchdAJFf4wiEOu2= zzz6T/Ya3T5ofjBq83R74+LjcpwsFEY5AqFO2fr8PmV/thl4XibFX9EdkuAYA4HCIWLd1P6pq6h= ERrsHtE0ZCpVTA3GjFtn25qKltwLhRAxCn1zr3lXO8EAP69oAg8Cd/okAg5BeUir2SE+SugwJQS= VklzhaXIefwfuw5mAedNgJDLkkFAJw4U4aE2GhER4W32Cb3RBFsdgfiDVrknijCmJGXAAAKS6oQ= GaGBQRcly3NxZXPD5XKX4DP/uu8iuUugAHaqsAxpKYkCp7BIsoQ4A47+fBBqlRJJ8Tpoo8IAAHa= 7A4ePFqCgpAoNZovLbZt/vRQALFYbauvNfhUeRHRhDBCSTKEQIIoiyqtMKKmoQe+mkaxSqcAN1w= xCVEQYtu7+GVU1dc5teqfE43RRBbZn5WLgxckAgLzTpeibmijb83BH7vsVvmz3LeO9EOo83gMhy= VatWoXq2gas/+YAACA2JgoD+vYAAKhVSqR2M0AXFY5dB49jwu8GAQA0apXzawAoqahGrF4LpVIR= VH/9TRQKOAKhTonRRuDuP12JkYN641DumbaPR0dApVTAbne0ecxms6O8qhaJsdEw1tRj7Zb9+Hp= HNixWWxdVH9o4CqHOYoCQJKtWrXJ+HaZRY2B6MiLC1S7XVSoVLn+zKu9MmXPqKvt4Ia4a2hfJSQ= acKCjzYeWek3uaqSsaUWcwQKjTHA4RZ0uN6NUjvsUyURRxsqAc3RP0UChaBkhVTR20kWEI07SdR= XU1WpGF3K/uXdDu/RdHISQd74FQhzWPPgpKqvDN7p+hUauQ3isJlw3oCQAorzJh54E8qJQCeqck= 4JLe3VtsL4oiCkuqMDA9xbns0ot6YNveXGjUKvzhyv5d/Ixc40/oRO1jgFCHNd/sTk7U456/XNX= msTi9Fn8eO8TlNs0uvSi5xTJ9dCQmjRvmdn0i8j8MECI3GGFE7eM9EKIQN4X3QUgijkCoQz799F= O5S+gyHIEQtY8BQuQOE4SoXQwQ6pBQurkdOs8UmPzRcWQ+wDdYpI7hPRAiIpKEAUIeW7lypdwlE= JEf4RQWeSyUpq8QYlNYRFJwBEJERJIwQIjcaP7Qq1Bpd37IvwehjuEUFnks1KawiKh9DBDyyIoV= K+QuocsxLonaxwAhj3D0QUStMUCI3GBkErWPN9GJiEgSjkDII6E4hRV6z5ioYxggRO4wQYjaxSk= sIiKShCMQ8ginsIioNY5AiFyYWLZB7hKI/B5HIOSRUBqBTCr7Cgix50wkBQOEqMnNpf92fv2AYa= 6stXhCdDhQuycTjtoKCGFRiL76fghKldvHRLsN9Uc2Q6yvROTQP0EZneDcV+PpgwhLHSzjs6FAx= AAhAnBz6Xq5S+gwW+lxRF32ZygiYjx6zFr0C9TxvaDUjUDjyf2IHHz9ueUVp6GKTQUEzmhTxzBA= yCPBOp1zS+k6uUuQRLTbYc7fD03KQKgT+kIRFnnBx5q78Ny/575x2BohmmugjOspy/OgwMYfOSh= k3VL6RdMLact2vyEDoij6dYNCgajLJ0HQaFF3aANspvILPqZO6gtr2Qk0ZH8Nda/LIIoirGd/gS= qp32/bEnUAA4Q8cv/998v+ounNdkvJ54DocN0ChKAKgzohDREDxsH86/cXfExQRyDq8psR/bv7o= dIlwVZdDIUuyXnfhKijeOZQSLm19HO5S/A6ZZQBglIJ0W6HoFR69Jhot8FRUwpN6mDYaytRf3gj= lOE61NVPR1RkhAzPggIRRyAUMm4tWe1+1NHU7jXMl310JKkpVBAhePyYpSgXyqapq8bTBxB+yRg= o4npi++6f5O4mCiAcgZDHAnmO/LbSz+QuwetEhwhBEGEtPQGVIRWCQvDoMXtdBRTh0VCoNc1ro/= lRi8Xaxc+CAhkDhILabSWr5C7BJ+w1JTDnfgdBqYIqKR3qHoM8egyiA/aK09D0vMy5SNPzMpgPb= 0L/FD3GXHVDVz8VCmBCfkGp2Cs5wYNVKdQtXbpU7hI65PaSTzu0/r3x7/mslkDwxdR+cpdAAeJU= YRnSUhIFjkAo6NxRslLSdoE8RUckBwYIBZU7ilfIXQJRyOBvYZHHHnroIfl/26iddkfxcpd/GOh= JmxK/SO7/Xlmte+QSuUugAMQRCAW8O4s/6fQ+OH1F1HEMEOoQf3uhvavkY7lLIApZnMKiDnn44Y= flLsFpcvEyCKLY6XZ3fGD9dhmRv+AIhALO5OKPvLo/fxtVdbV/PzZA7hIoQDFAqMPkfMG928vhQ= UTScQqLOmzq1Kldfsy7i5fi7uKlABxebXcl/KvLnwtRsOAIhPze3UVL5C4haHH6ijqDAUKSTJ06= FYsW+f5vJ+4pWuzT/Yf6/Q+izmCAkF+6p8j34XRHYqbPj0EUzBggJJmvfnq/twvCg4Avp10qdwk= U4HgTnSR79NFHvb7Pe4ve8/qNcndN7rdekbsRdRZHIOQX7jv7bpce77ak4PycEE99NX2g3CVQEO= AIhDrl0Ucf7fRPwvedfbvLRh2/tdDF8CBv4QiEZHP/2YVyl0BEncARCHXaY4891uFRh5zhcWvSG= tnvP8jVOPogb2KAkFdMmzbN43XvP7uQN4+JggCnsKjL3Fd4btTBl3B5bHh8kNwlUJDhCIS8Ztq0= ae5vlBcukPxpgd5uck8jceRFwYIjEPK5+woX+M2o4/bua+UuQRYbZwyWuwQKQhyBkFdNnz69xaj= j3MiD5MTwIF/hCIR8wp9GHefjVA6R93AEQl73+OOPy12CS6E4fbXpiSFyl0BBjAFCPhH9j+Pt3t= A12ZRYXdkHG4ypbR470xiBp89cicdPjUaeWQtRFFFjU+KVs8Pw6Knf4UTTsua20ZgKu4M3kVtje= JCvMUDIZ3T/zIMowmXbZkrGf6p7wupQtFhucwiYXzoUD8X9jCeTDuHd0kGwO4A9td0wNKIc0xOO= 4EtjmnP9w3WxGBheAQGuj3N+CyUMD+oKvAdCPhUzNw/Vs/u0WX5TTD6iFBbU2DUt/jLkaGMMohR= WXBxuBADEqRvws9kAselXcB0i4DgXF6h3KFFmD8egyIoL1nFHjy9CJkX+M3Oo3CVQiOAIhHwuZu= 4J1yMCF8tONUaju6rO+X2yqg5F1khcGVmM/fWJeLdsIG7SnYQoAt+bemB05NkLjjxCJDeIuhxHI= NQl9G+cgPGZ3m4e/e0Vvl5UQau0OJcp4UCNXQ2t0ooXu+1zrnesMQa9w2qgUYT2O+u2xtEHdSUG= CHWZ1jeyxfP+MryZVrCg2qFxLjM7lNCrzC3WsTgUyGuMwXXRp3CmUYs3y4chUdmAJxIOIFJha3P= cO5PXhcQwZPOTl8ldAoUYTmFRlzFk5F9wCitZZcIpS7Tz+0KbFqkqU4t1fqhNxtURhRBFYJMpDQ= 8asjE4vAy76rqF7PQVw4PkwBEIdanYN/MBAJVP9Tpv6uq3V/mLw6pgtIfjeKMOAkSU28JxcVilc= 50CqxYJqnpEKq3nthQBoWkkYxWVIflWjQwPkgsDhGSx78ZP8d77mc7v/6Q7AQAQADwWexBvVwxF= mGDHzPifoIIIUQQcInCoIR43ROc7RxY3RJ/AW+WXI1Jhw6z4H9uMOCanru/S59WVGBwkNyG/oFT= slZwgdx0Uoipm9fTp/u9KCc4A+XrWMLlLoBB2qrAMaSmJAu+BkKzi5p326NdwpbZgxPAgf8EAId= nFzz/tk8/9CMbpK4YH+RPeAyG/ED//DACgbGaq1/YZbO9/9d+nLpe7BKIWGCDkVxLeOoPSJ1LkL= sOvMDjIX3EKi/xO4oICJC4o6NQ+7u75b6/VIyeGB/kzjkDIbyUuKEDJjGRJ2wb69NWWp4fLXQLR= BTFAyK8lLSwEAJTM6CF3KV2CwUGBhAFCASFp4VkAQPHjFw6SKb2+7IKKvIvBQYGIAUIBpdvb54K= kaHp3uUvxCgYHBTIGCAWk7u8UOb9uHSaBcP9j6zMj5C6BqNMYIBTwmsPk7LRuuCftK7nLcYuhQc= GGAUJBo8e7xdh63vfj3siSsRoGBgU/BggFrdYv4H+Yu8/tut7yzeyRPj8Gkb9ggFDIaO/F3dNwY= UAQ/YYBQsRgIJKEb2VCRESSMECIiEgSBggREUnCACEiIkkYIEREJAkDhIiIJGGAEBGRJAwQIiKS= JKj+kHD5mk34ZPXGNsujIiOw/uMMr+3/g4xn0aeXtE/K87YFiz/Fhi07kPn+a0iMN8hdjkuBUKM= /mf3KQhw48isAQKlUIFavw4B+fTDphrG4tF8fuctzi/0ceoJqBKKLjsLqJa9jy5p3kdw9Ee/P/T= 9syHwLt9z0e4+237H3YLuPT7n1BgwfOsBL1XaulmZPPHwn+qal+LyezgiEGv3J3Bdn4E/XXYMHJ= /8F//5kHua9MguJ8bF48oV5OPzzcbnLc4v9HHqCKkCuHTUMBr2uxbIwjRoTJ4yBw9H+Z0TU1jUg= c+3mCx5Do/b9oM3TWpqFadQ+rccbAqFGfxMdFYkwjRrdEuPw8JRJGD/mSnyYuV7ustrFfg4tATO= FNSPzmNvHFk5OBwDoY6JdPh6tjXR+vX3XT1iauR4qlRL33HYjxo4+94lwby9dheMnz+CPt07DRw= teREKsHm8uykTWgRxckt4bzz5xP3TRUS32+8RzGcjLL8Cbc57E3xf8C/3T0/Dg5Il49c0lMDda8= NpfH3MO5f/73R4sX7MJhphoPDvzAbw670OUllXg+VkPYu47n+DyIf0x65HJLmtJ7ZHUZvsTpwrx= 7kdr0DctGXaHo0VdrdftlhgHADCbG90+p207f8SyVRsgCAKemTYFT700H90S47Fs4Ut4ae4H2JV= 1GOuWZUAbFeHyGC+/sRjFpRWYdMMY7Mo6jPfn/hV79h9xW6O7fgh2NXMnuVyum73ugtte//tReP= KFeaiuqUWMTuu2n9FOX7OfyZsCZgTSYHffPHW6oBhrN3yDt1+fjeeffBDzF61EXn4BAODpaVOg1= 2mxZc27SO2RhJNniqDXabFy0d8Qo9MiOzevzf4y5syEQxTRaLHgnddnI+fXE8g6mIN/vPA4Bg9I= d85j558pQklZJZbMex7jrr0Cy1Z9hTdemoFGixWiCCx641nszjqMGlOdy1pab7/o47VYtuorLPj= bU7j39pucz8HdsZq5e055+QXYun0f3vvn/+LOSeOxdfteLM54zrnd7On3tghhV8d467WnYLFacd= 3YUfgg41lUVFW7rbG9fgh2Cmu1y+aJOEMMAKCuvqHdfoabvmY/k7cFzAikwS50eh/7DuRg1IjB0= Ou00Ou0mPCH0TiYfdTlvG3/9DQkxhvw6RdfY3fWYYweMaTNOmqVCgpBwOAB50ZA6X16ol/fXoiM= CEdy9wTYbDYAQE5uHj5ZvdF5gz/OEAO1WoUwjRpDB14MAEhMiIPVanNZd+vtIyPCMfmW6xEfq0d= 8rB7pvVPdrtv8otPeczqYfRTjrh2JqMgIXDd2FK4bOwq1dQ3O7aIiw6GL1rZ7DI1aBY1a7fwpeM= /+Ixh3zUiXNXakH4KNYK2RvG1F1bmgiTXE4Jvv97ntZ7jpa/YzeVvABIjZ1vnPuRYBVFb9dgHHG= nRQKl0Pwk6ePou3l36Ge2670ePP2BYE15/HbXc4MGf2VFw1YrBzmdXmOixcab39p+u+brG9IAhu= 1/XkOTkcDphq6yXX07yP89XW1bdYdn6NHemHYCNYTZK33fztLoy87FKEh2na7We46Wv2M3lbwPS= mxWJx2zw1bFA/bN62G78cy4epth5ZB37GiKbfqhIgoMHcCHPjuf1lHcjB4AEX4aLeqSivNMJitc= Jms6PKWIPqmloAgLHaBJvdjrp6MxwOB6qMJlQZTXA4RFQZTag01kAURQy4uDdWfL4JBWdLUVdvx= nc796O6phYN5kY0mBthsVhhqq2DscbkspbW25sbGvHV1z8g/0wRjNUmVJvqnKMdV8dq5uo5AcCA= fn2w5sutOHO2xLmNSqVEeUUVyiuN+OXoSdQ3mNs9RpXR1CLU+vXt5bbG9voh2FksVpfNlbr6Bli= tNpSWV2LpivXYtnM/Hrjrz8AF+hlu+pr9TN6mnDnrmZf1uigPVpXXxzsLYbfbXba7R3V3rudwOD= D+tukw1dZh45YdSO/TE6k9kgAAsXod9DFazF+0Ev/9bg/uuvk6DOx/EQBAoVAg93g+Nm3didEjh= 0CrjcSS5etRXmlEv/Q07Nh3EEUl5fjmhyxs2b4XEyeMwZyMJSgurcBPR35FUUk5tu34Ed/8kIWk= BAMWL1+HQznHMGzwJbgkPQ0igIz3lmPPj4dx4/ir8dr8j1BaXons3Dxk5+bhUM4xbNu5H3dMGt+= mlu5J8S22n/w/ExCm0eCdD1fDarXBWF2DlV9sxu0TxyPOENPmWDG6c9MSao26zXO6asQQ9EiKh8= PhwLxFmTiUcxR/vv5a6HVaVJtqsfiTdbh8aH8cOPIrNm7dgZtvHItYF8eYk7EE5RVG5OUXYOzo4= eiWGAdzo8VljbGGGLf9EOxMmzLgcDjatKjrZznXmf3KQmzf9RN+OpyLzLWb8e0PWYjRafH0Y1Oc= 0z+u+qC5n+GmrydOGAOFILCfqdOqTfV4a94bc4T8glKxV3KC3PUQEVGAOFVYhrSURCFgprCIiMi= /MECIiEgSBggREUnCACEiIkkYIEREJAkDhIiIJGGAEBGRJAwQIiKShAFCRESSMECIiEgSBggREU= nCACEiIkkYIEREJAkDhIiIJGGAEBGRJAHzkbaeeGnuB9iVdbjN8hdmPYRrRl3W4f0tWPwpNmzZg= cz3X0NivMFLVfpOoNVLri1fs8n5OeTni4qMwPqPM7y2/w8ynkWfXsmd3p9cAu18D7R6PRFUATJn= 9lQsWbEesXodbrnp9wCAiqpqHD9xRtL+nnj4TvxyLN/LVfpOoNVLrumio7B6yesw6HW4b8YcPP/= kA0hN7obV/95ywW137D2Iq68Y2u46U269AT8fPenFiqXX0hmBdr4HWr2eCPoprDhDDK64fKDk7c= M0aq/W42uBVi+1de2oYTDodS2WhWnUmDhhDBwO0e12tXUNyFy72aNjaNS+/dmxI7V0RqCd74FW7= 4UEzAhk3bp1bh+bNGmSy+U2mx079x3CtVcNAwBM+7+5KC2rwPOzHsTcdz7B5UP6Y9Yjk9tstyvr= MN79aA36piXD7nA4l//3uz1YvmYTDDHReHbmA+iWGIcGcyNeeXMp7HY7bvvLHzF8SH+YzY14c1E= msg7k4JL03nj2ifuhi47Ctp0/YtmqDRAEAc9Mm4JL+/XB9Xc8jm6J8Vi28CXnFNy6ZRnQRkW4PN= 4jz7yO4tIKTLphDHZlHcb7c/+KPfuPuKx3+66fsDRzPVQqJe657UaMHT28k71AnbZ7rOvlo7Y5v= 9THRLtcJVob6fzaVd++vXQVjp88gz/eOg0fLXgRCbF6l+dha088l4G8/AK8OedJ/H3Bv9A/PQ0P= Tp6IV99cAnOjBa/99TEkxhvanI+vzvvQ7fXUupbUHklttj/88zGP93c+d9cnXFyjMTptm+sTgMf= X6FMvzXd7fbo63stvLPb4+nTXj4EkYEYgdrvdbWtt0cdr8cdbp2HCnTOwc98h5/I3XpqBRosVog= gseuNZ7M46jBpTXYttyyqMWLbqKyz421O49/abkJdfAADIP1OEkrJKLJn3PMZdewWWrfoKAHAw+= yh+d8VQvDDrQZwuKAIAnDxTBL1Oi5WL/oYYnRbZuXnIyy/A1u378N4//xd3ThqPrdv3AgAWZzzn= PPbs6fc6XyTcHe+t156CxWrFdWNH4YOMZ1FRVe2y3tMFxVi74Ru8/fpsPP/kg5i/aKXzMZJTiZv= mOXd9+/S0KdDrtNiy5l2k9khyeR66kjFnJhyiiEaLBe+8Phs5v55A1sEc/OOFxzF4QDoOHPnV5f= nY3vXUupbW27/z4eoO7a+Zu+sTbq4ZV9cnOnCNurs+3R3P0+uzvX4MJAEzAnEVFO48cu8tuOWm3= 8Nqs2HH3oPO5Wq1CmEaNYYOvBgAkJgQB6vV1mLbPfuPYNw1IxEfq0d8rB7pvVMBADm5efhk9Ubn= zc04QwwAoGdyEj7+bAMA4PrfXwUA6J+ehsR4Az794mvszjqM0SOG4GD2UYy7diSiIiNw3dhRuG7= sKABAbNN+ACAqMhy6aG27x9OoVdCo1eiWGNduvfsO5GDUiMHQ67TQ67SY8IfROJh9FH3TUjr4P0= /eVdrpPbjr254p3Vqs5+o8dEWtUkEhCBg8IB0AkN6nJ/r17YXIiHAkd0+AzWZzeT56cj01a719V= EQ49v6U3eH9uTvfXR0jzhCDKbfe0Ob6dPd/4+oara1rcG5z/vXp7nieXp/t9WMgXaMBEyA2m+sT= sz1qlarDQ8Launo4zhtmCoIAALA7HJgzeyquGjG4xfrJ3RPx+nPT8J9vd+Gpl97C/FdnoaikHG8= v/Qz33HYjRPHcnLXD4YCptt7jOtwdz9N6RQCVVTXO5bEGHZTKgBlwBi1RrHC5XOjIPjzs25Onz7= Y5Dz0hCGizvqvz0dqBa7L19l9+/T3iY/Ud3p+7891djQDaXJ/hYRqX/zfeuEYdraao2qs3GK7Rg= KnWYrG4ba2ZGxudX1fX1GLF5/+BKIqorqlFg7kRDeZGWCxWmGrrYKwxtdi2X99e+OrrH5B/pgjG= ahOqTXWw2WwYcHFvrPh8EwrOlqKu3ozvdu4HAOzdn43C4jJMnDAGifEGlJZXIutADgYPuAgX9U5= FeaURFqsVA/r1wZovt+LM2ZIW26tUSpRXVKG80ohfjp5EfYO53eNVGU0tLjR39Q4b1A+bt+3GL8= fyYaqtR9aBnzFi6ACf9Q95psHqunWEu74VIKDB3Ahz47lrwtV5iKZ7g1XGGlTX1AIAjNUm2Ox21= NWb4XA4UGU0ocpogsMhospoQqWxBv3T09qcj+1dT61raX0+19c3dGh/zdyd766O8d3O/S6vT3f/= N66uUXfXp7vjeXp9ttePgUQ5c9YzL+t1bW+s+Zt9+/a5vQcyfPi5UcZLcz/A5m9342D2USxfswn= L12zC6i+3YviQ/hjU/yI8M2chSssrkZ2bh+zcPBzKOYZtO/fjjknjncfplhgHc6MF73y4GlarDc= bqGqz8YjMeve9/AAjIeG859vx4GDeOvxoxOi1q6+tRXFKB5/7+HoYOvBhjRg+HJkyNJcvXo7zSi= H7padix7yAmThgDhSBg3qJMHMo5ij9ffy20URFQqZSoNtVi8SfrcPnQ/jhw5Fds3LoDD02eCBFo= c7xZL85HeYURefkFGDt6eLv16mOiMX/RSvz3uz246+brMLD/RTL2IAGA6dgc2Oxo0yL6vtxiPYf= DgfG3TYeptg4bt+xAep+eSO2RBACI1evZ521RAAABNklEQVSgj9G26VuFQoHc4/nYtHUnRo8cAq= 02ss15eNWIIVi78Vts2b4XW7bvxcQJYzAnYwmKSyvw05FfUVRSjm07fsQ3P2QhKcGAxcvX4VDOM= Yy79gokxMe2OB9fm/+R2+updS3dk+JbnM+3TxoPXbTW4/01c3e+3z5xPOIMMW2uGaVS0eb6FAQB= ao1n16hep3V5fd5841jEujjenIwlHl2ft08cj1hDjMt+DATVpnq8Ne+NOUJ+QanYKzlB7nqIiCh= AnCosQ1pKohAwU1hERORfGCBERCQJA4SIiCRhgBARkSQMECIikoQBQkREkjBAiIhIEgYIERFJwg= AhIiJJGCBERCQJA4SIiCRhgBARkSQMECIikoQBQkREkjBAiIhIEgYIERFJwgAhIiJJVGj6dCkiI= qKO+P8b+gE9xmCloQAAAABJRU5ErkJggg=3D=3D" width=3D"400" height=3D"198" alt= =3D"" />3.1. Propuesta d= e la investigaci=C3=B3n Nombre de la propuesta: Plan estrat=C3=A9gico de fortalecimient= o de la gesti=C3=B3n educativa digital para la innovaci=C3=B3n pedag=C3=B3g= ica.Objetivo general: de esta propuesta es fortalecer la gesti=C3=B3n educativa digital= en la Escuela Sixto Dur=C3=A1n Ball=C3=A9n mediante la implementaci=C3=B3n= de estrategias integrales que promuevan la innovaci=C3=B3n pedag=C3=B3gica= y el uso significativo de las tecnolog=C3=ADas en el proceso educativo.</s= pan>Just= ificaci=C3=B3n espec=C3=ADfica<spa= n>La propuesta est=C3=A1 dirigida a la comunidad educativa de la <sp= an class=3D"whitespace-normal">Escuela Sixto Dur=C3=A1n Ball=C3=A9n<= span>, conformada por: 3 directivos institucionales, 20 docentes, Estudiant= es de educaci=C3=B3n b=C3=A1sica, comunidad educativa en general, surge com= o respuesta a la necesidad de superar la brecha identificada entre la gesti= =C3=B3n educativa digital y su aplicaci=C3=B3n efectiva en la innovaci=C3= =B3n pedag=C3=B3gica. En este sentido, se plantea un plan estrat=C3=A9gico = integral que permita consolidar la gesti=C3=B3n educativa digital como un e= je articulador del proceso ense=C3=B1anza-aprendizaje, promoviendo una tran= sformaci=C3=B3n real en la cultura institucional.<span= style=3D"font-family:'Times New Roman'">Para llevar a cabo esta propuesta = se realizar=C3=A1 diferentes estrategias, una de estas l=C3=ADneas estrat= =C3=A9gicas es el fortalecimiento de competencias digitales docentes donde = se dise=C3=B1ar=C3=A1 e implementar=C3=A1 un programa permanente de capacit= aci=C3=B3n docente enfocado no solo en el uso t=C3=A9cnico de herramientas = digitales, sino en su aplicaci=C3=B3n pedag=C3=B3gica (metodolog=C3=ADas ac= tivas como aprendizaje basado en proyectos, aula invertida y gamificaci=C3= =B3n).La siguiente l=C3=ADne= a estrat=C3=A9gica es la integraci=C3=B3n curricular de las tecnolog=C3=ADa= s digitales ya que es necesario reestructurar la planificaci=C3=B3n curricu= lar para que la tecnolog=C3=ADa no sea un complemento, sino un recurso did= =C3=A1ctico integrado, para ello, se sugiere dise=C3=B1ar gu=C3=ADas pedag= =C3=B3gicas que orienten el uso de herramientas digitales en funci=C3=B3n d= e objetivos de aprendizaje claros, esta acci=C3=B3n permitir=C3=A1 que la i= nnovaci=C3=B3n pedag=C3=B3gica se consolide en el aula, reduciendo la brech= a entre la planificaci=C3=B3n y la pr=C3=A1ctica educativa.El fortalecimiento del liderazgo digital ins= titucionales una l=C3=ADnea estrat=C3=A9gica importante ya que el equipo di= rectivo debe asumir un rol activo como l=C3=ADder del proceso de transforma= ci=C3=B3n digital, promoviendo una visi=C3=B3n compartida y una cultura ins= titucional orientada a la innovaci=C3=B3n, se recomienda establecer un plan= de gesti=C3=B3n digital institucional que incluya objetivos, indicadores d= e seguimiento y evaluaci=C3=B3n, as=C3=AD como espacios de acompa=C3=B1amie= nto pedag=C3=B3gico para los docentes.La mejora de la infraestructura tecnol=C3=B3gica y conectividad t= ambi=C3=A9n es otra l=C3=ADnea estrat=C3=A9gica que plantea gestionar recur= sos institucionales y alianzas estrat=C3=A9gicas que permitan mejorar el ac= ceso a dispositivos tecnol=C3=B3gicos, asimismo, es importante optimizar el= uso de los recursos existentes mediante una adecuada planificaci=C3=B3n y = organizaci=C3=B3n institucional de igual forma la articulaci=C3=B3n entre g= esti=C3=B3n administrativa y pr=C3=A1ctica = pedag=C3=B3gica propone integrar los sistemas administrativos digitales con= los procesos pedag=C3=B3gicos, de manera que la informaci=C3=B3n generada = contribuya a la toma de decisiones educativas.3.2. <s= pan style=3D"font-style:italic">Validaci=C3=B3n de la propuesta = La propuesta de for= talecimiento de la gesti=C3=B3n educativa digital orientada a la innovaci= =C3=B3n pedag=C3=B3gica en la Escuela Sixto Dur=C3=A1n Ball=C3=A9n</sp= an> se valid=C3=B3 por docent= es pares en funci=C3=B3n de su pertinencia, coherencia y viabilidad frente = a la problem=C3=A1tica identificada en el estudio y utilizando la r=C3=BAbr= ica respectiva, de lo antes mencionado se desprenden aseveraciones apegadas= a la realidad actual de la instituci=C3=B3n como las que se detallan a con= tinuaci=C3=B3n.En primer lug= ar, presenta una alta pertinencia, ya que responde directamente a las neces= idades detectadas, como la limitada articulaci=C3=B3n entre la gesti=C3=B3n= institucional y la pr=C3=A1ctica pedag=C3=B3gica, la insuficiente formaci= =C3=B3n docente en competencias digitales y las debilidades en infraestruct= ura tecnol=C3=B3gica, es decir, no es general, sino contextualizada a la re= alidad institucional, Rossi & Barajas (2018) sostienen en su art=C3=ADc= ulo que la competencia digital del profesorado constituye un elemento funda= mental para impulsar la innovaci=C3=B3n pedag=C3=B3gica, siempre que est=C3= =A9 acompa=C3=B1ada de procesos de formaci=C3=B3n continua y reflexi=C3=B3n= sobre la pr=C3=A1ctica docente.En cuanto a su coherencia, la propuesta mantiene un= a relaci=C3=B3n l=C3=B3gica entre los objetivos planteados, las l=C3=ADneas= estrat=C3=A9gicas y los resultados esperados. Cada acci=C3=B3n propuesta c= omo la capacitaci=C3=B3n docente, la integraci=C3=B3n curricular de las TIC= , el fortalecimiento del liderazgo digital y la mejora de la infraestructur= a se vincula directamente con los hallazgos obtenidos en la investigaci=C3= =B3n, lo que garantiza consistencia entre el diagn=C3=B3stico y la soluci= =C3=B3n planteada.Respecto a su viabilidad, la propuesta se considera factible de i= mplementar, ya que contempla estrategias progresivas y adaptables al contex= to institucional. Asimismo, promueve el uso optimizado de los recursos exis= tentes y la posibilidad de gestionar alianzas estrat=C3=A9gicas, lo que per= mite superar las limitaciones presupuestarias identificadas, adem=C3=A1s, e= l enfoque en el desarrollo profesional docente continuo y en el liderazgo i= nstitucional favorece la sostenibilidad de la propuesta en el tiempo.</span= >La propuesta s= e valida tambi=C3=A9n desde el enfoque te=C3=B3rico, al estar alineada con = los planteamientos de organismos internacionales como la UNESCO (2024) que = destacan la importancia de integrar liderazgo, formaci=C3=B3n docente, infr= aestructura y gesti=C3=B3n institucional para lograr una transformaci=C3=B3= n digital efectiva en educaci=C3=B3n, en este sentido, la propuesta no solo= es pertinente y viable, sino que se sustenta en fundamentos te=C3=B3ricos = s=C3=B3lidos que respaldan su implementaci=C3=B3n.4. <= span style=3D"font-weight:bold">Discusi=C3=B3n Los resultados evidenciaron que la gesti=C3=B3n educativ= a digital presenta avances en la incorporaci=C3=B3n de herramientas tecnol= =C3=B3gicas y en el impulso del liderazgo directivo; sin embargo, estos pro= gresos no se traducen de manera homog=C3=A9nea en pr=C3=A1cticas pedag=C3= =B3gicas innovadoras, la alta valoraci=C3=B3n de la integraci=C3=B3n digita= l en la planificaci=C3=B3n curricular contrasta con las limitaciones identi= ficadas en el ecosistema digital y en la aplicaci=C3=B3n de metodolog=C3=AD= as activas, lo que sugiere una brecha entre la intenci=C3=B3n institucional= y la pr=C3=A1ctica educativa.<spa= n>Asimismo, la percepci=C3=B3n dividida en torno a la formaci=C3=B3n docent= e y la evaluaci=C3=B3n del uso de las tecnolog=C3=ADas refleja debilidades = en los procesos de capacitaci=C3=B3n y seguimiento, Jerez (2025) sostiene q= ue las Tecnolog=C3=ADas de= Informaci=C3=B3n, Comunicaci=C3=B3n, Conocimiento y Aprendizaje Digital (T= ICCAD) favorecen la innovaci=C3=B3n pedag=C3=B3gica al transfo= rmar las estrategias de ense=C3=B1anza, fortalecer el aprendizaje activo y = promover el desarrollo de competencias digitales no solo en estudiantes tam= bi=C3=A9n en docentes, lo que incide directamente en la consolidaci=C3=B3n = de una cultura de innovaci=C3=B3n, a esto se suman las limitaciones en infr= aestructura y recursos, las cuales condicionan el desarrollo de estrategias= pedag=C3=B3gicas mediadas por tecnolog=C3=ADa y que son fundamentales para= el proceso ense=C3=B1anza aprendizaje.Estos hallazgos coinciden con lo planteado por la UNESCO (2024)= al se=C3=B1alar que la transformaci=C3=B3n digital educativa depende de la= articulaci=C3=B3n efectiva entre liderazgo, formaci=C3=B3n docente, infrae= structura y gesti=C3=B3n institucional, as=C3=AD los resultados permiten ev= idenciar que la gesti=C3=B3n educativa digital requiere fortalecerse, orien= tada no solo a la digitalizaci=C3=B3n de procesos, sino a la transformaci= =C3=B3n de las pr=C3=A1cticas pedag=C3=B3gicas y la cultura institucional, = de igual forma menciona Narv=C3=A1ez (2023) la problem=C3=A1tica es la care= ncia de empleo de m=C3=A9todos y estrategias de ense=C3=B1anza y de aprendi= zaje, el cual debe estar actualizado.= 5. Conclusi=C3=B3n <ul style=3D"margin:0pt; pad= ding-left:0pt"><li class=3D"NormalWeb" style=3D"margin-top:0pt; margin-left= :14.2pt; margin-bottom:0pt; text-align:justify; line-height:115%; font-fami= ly:serif">Los resultados del = estudio permitieron evidenciar que la gesti=C3=B3n educativa digital en la = Escuela Sixto Dur=C3=A1n Ball=C3=A9n se encuentra en un nivel de desarrollo= incipiente-intermedio, caracterizado por avances en la incorporaci=C3=B3n = de herramientas tecnol=C3=B3gicas y en la promoci=C3=B3n del liderazgo dire= ctivo, pero con limitaciones en su articulaci=C3=B3n efectiva con la innova= ci=C3=B3n pedag=C3=B3gica, por ello, se requiere una gesti=C3=B3n m=C3=A1s = coherente y estructurada.</li><li class=3D"NormalWeb" style=3D"margi= n-top:0pt; margin-left:14.2pt; margin-bottom:0pt; text-align:justify; line-= height:115%; font-family:serif">Se constat=C3=B3 que, aunque existe una alta aceptaci=C3=B3n del uso de = tecnolog=C3=ADas digitales en la planificaci=C3=B3n curricular, su aplicaci= =C3=B3n en el aula no siempre se traduce en pr=C3=A1cticas pedag=C3=B3gicas= innovadoras, esta situaci=C3=B3n revela una brecha entre el dise=C3=B1o in= stitucional y la implementaci=C3=B3n did=C3=A1ctica, lo que limita el impac= to real de la transformaci=C3=B3n digital en los procesos de ense=C3=B1anza= -aprendizaje.</li><li class=3D"NormalWeb" style=3D"margin-top:0pt; m= argin-left:14.2pt; margin-bottom:0pt; text-align:justify; line-height:115%;= font-family:serif">Asimismo,= se identific=C3=B3 que la formaci=C3=B3n docente en competencias digitales= es de suma importancia y constituye un factor determinante para la consoli= daci=C3=B3n de la innovaci=C3=B3n pedag=C3=B3gica, la percepci=C3=B3n de in= suficiencia en los procesos de capacitaci=C3=B3n evidencia la necesidad de = fortalecer estrategias de desarrollo profesional continuo, orientadas al us= o actualizado pedag=C3=B3gico de las tecnolog=C3=ADas.</li><li class= =3D"NormalWeb" style=3D"margin-top:0pt; margin-left:14.2pt; margin-bottom:0= pt; text-align:justify; line-height:115%; font-family:serif">En relaci=C3=B3n con la gesti=C3=B3n instit= ucional, se determin=C3=B3 que la articulaci=C3=B3n entre los procesos admi= nistrativos digitales y las pr=C3=A1cticas pedag=C3=B3gicas es parcial, lo = que refleja una fragmentaci=C3=B3n en la gesti=C3=B3n educativa, esta situa= ci=C3=B3n impide que la tecnolog=C3=ADa funcione como un eje integrador del= quehacer institucional, las limitaciones en infraestructura tecnol=C3=B3gi= ca, conectividad y financiamiento se posicionan como factores estructurales= que condicionan la implementaci=C3=B3n de procesos de innovaci=C3=B3n.</sp= an></li><li class=3D"NormalWeb" style=3D"margin-top:0pt; margin-left:14.2pt= ; margin-bottom:0pt; text-align:justify; line-height:115%; font-family:seri= f">Se concluye que la gesti= =C3=B3n educativa digital solo puede constituirse en una estrategia efectiv= a para fortalecer la innovaci=C3=B3n pedag=C3=B3gica cuando se concibe desd= e un enfoque sist=C3=A9mico, que integre liderazgo, formaci=C3=B3n docente,= recursos tecnol=C3=B3gicos y cultura institucional orientada al cambio, y = para ello es necesario implementar estrategias activas innovadoras en un pl= an estrat=C3=A9gico e innovador que promueva el cambio.</li></ul>6. = ; Conflicto de intereses= Los autores declaran que no existe con= flicto de intereses en relaci=C3=B3n con el art=C3=ADculo presentado.</span= ><sp= an>7. = 0; Derechos de autor (copyrig= th)Los autores son los titu= lares de los derechos de autor </sp= an>(patrimoniales y/o de explotaci=C3=B3n) de los contenidos de la re= vista (copyright).</s= pan>= 8. &= #xa0; Declaraci=C3=B3n de con= tribuci=C3=B3n de los autoresLos autores declaran haber participado de manera equit= ativa y sustancial en la realizaci=C3=B3n de esta investigaci=C3=B3n, bajo = las responsabilidades seg=C3=BAn la <a href=3D"https://credit.niso.o= rg/" style=3D"text-decoration:none">Taxonom=C3=ADa CRediT</a>= para describ= ir las contribuciones individuales de cada autor al trabajo. Los autores declaran h= aber participado en la realizaci=C3=B3n de esta investigaci=C3=B3n de la si= guiente manera: Rosa Alexand= ra Elizalde Panta: conceptualizaci=C3=B3n, curaci=C3=B3n de datos, an=C3=A1= lisis formal, investigaci=C3=B3n, metodolog=C3=ADa, escritura-revisi=C3=B3n= y edici=C3=B3n, discusi=C3=B3n de los resultados y conclusiones, aprobaci= =C3=B3n del trabajo final.Se= gundo Daniel Land=C3=A1zuri Ram=C3=ADrez: a= dministraci=C3=B3n del proyecto, escritura - borrador original, escritura -= revisi=C3=B3n y edici=C3=B3n, discusi=C3=B3n de los resultados y conclusio= nes, aprobaci=C3=B3n del trabajo final.Lilian Susana Molina Benavides: escritura-revisi=C3=B3n, discusi=C3=B3n de los resulta= dos y conclusiones, aprobaci=C3=B3n del trabajo final.Esther= Carl=C3=ADn Ch=C3=A1vez: escritura-revisi=C3=B3n, discusi=C3=B3n de los resultados y conclusiones, aprobaci=C3=B3n = del trabajo final.Declaraci=C3=B3n presentada por: Rosa Alexandra Elizalde Panta.= Divulgaci=C3=B3n de la delegaci=C3=B3n a la Inteligencia Artific= ial GenerativaLos autores declaran el uso de herramientas de inteligencia artificia= l generativa (IAG) durante el proceso de investigaci=C3=B3n y redacci=C3=B3= n del manuscrito. De acuerdo con la taxonom=C3=ADa GAIDeT (2025), las sigui= entes tareas fueron delegadas a herramientas de IAG bajo la supervisi=C3=B3= n y el control permanente de los autores: generaci=C3=B3n de ideas, b=C3=BA= squeda y sistematizaci=C3=B3n de la literatura cient=C3=ADfica, correcci=C3= =B3n y edici=C3=B3n del manuscrito, las herramientas de IAG utilizadas fuer= on: ChatGPT-1 y DeepSeek. La responsabilidad sobre el contenido final del m= anuscrito recae exclusivamente en los autores. Las herramientas de IAG no f= iguran como autoras ni asumen responsabilidad alguna por los resultados fin= ales. Declaraci=C3=B3n presentada por: Rosa Alexandra Elizalde Panta.</span= ><s= pan style=3D"font-weight:bold">9. &#x= a0; Costos de financiamiento = La presente investigaci=C3= =B3n fue financiada en su totalidad con fondos propios de los autores.</spa= n><= span style=3D"font-weight:bold">10. <span= style=3D"font-weight:bold">Referencias bibliogr=C3=A1ficasAlonzo Yaranga, L., L= e=C3=B3n Quispe, K., & Avenda=C3=B1o Cruz, C. E. (2023). El liderazgo d= irectivo en el proceso educativo. = Horizontes Revista de Investigaci=C3=B3n en Ciencias de la Educaci=C3=B3n</= span>, 7(28), 6= 98=E2=80=93711. <a href=3D"https://doi.org/10.33996/revistahorizonte= s.v7i28.548" style=3D"text-decoration:none">https= ://doi.org/10.33996/revistahorizontes.v7i28.548</a>Arias Pincha, J. P., & Beltr=C3=A1n Esp=C3=ADn, E.= L. (2023). El uso de la tecnolog=C3=ADa en la educaci=C3=B3n contin= ua [Trabajo = de pregrado, Universidad T=C3=A9cnica de Cotopaxi, Pujil=C3=AD, Ecuador]. <= /span><a href=3D"https://repositorio.utc.edu.ec/items/bb349ff1-62fb-45fd-b3= 88-71d3b4e0f5b7" style=3D"text-decoration:none">h= ttps://repositorio.utc.edu.ec/items/bb349ff1-62fb-45fd-b388-71d3b4e0f5b7</s= pan></a> Asamblea Nacional del Ecuador. (2011). Ley Org=C3=A1nica de Educaci=C3=B3n Intercultural (LOEI).</s= pan> Segundo Suplemento del Registro Oficial No.417 (31 de Marzo 2011= ). Normativa: Vigente. =C3=9Altima Reforma: Suplemento del Registro Oficial= 434 (19-IV-2021). <a href=3D"https://www.igualdad.gob.ec/wp-content= /uploads/downloads/2021/04/ley_org%C3%A1nica_educacion_intercutural_abril20= 21.pdf" style=3D"text-decoration:none">https://ww= w.igualdad.gob.ec/wp-content/uploads/downloads/2021/04/ley_org%C3%A1nica_ed= ucacion_intercutural_abril2021.pdf</a> Concha Abarca, J., Quispe Ch= oque, M. E., & Quispe Choque, M. (2023). Importancia del uso de las her= ramientas digitales en la inclusi=C3=B3n educativa. Horizontes, 7(29), 1374=E2=80=931386. <a href= =3D"https://doi.org/10.33996/revistahorizontes.v7i29.598" style=3D"text-dec= oration:none">https://doi.org/10.33996/revistahor= izontes.v7i29.598</a> Cort=C3=A9s Castrillo, D. M. (2022). Liderazgo pedag= =C3=B3gico y gesti=C3=B3n educativa en el marco de la digitalidad: una mira= da cr=C3=ADtico-humanista. CIEG, Revista Ar= bitrada del Centro de Investigaci=C3=B3n y Estudios Gerenciales<span= >, 54, 95=E2=80=93105. </s= pan><a href=3D"https://revista.grupocieg.org/wp-content/uploads/2022/02/Ed.= 5495-105-Cortes.pdf" style=3D"text-decoration:none">https://revista.grupocieg.org/wp-content/uploads/2022/02/Ed.5495-105-Cor= tes.pdf</a> Denzin, N. K. (2009). The research act: a theoretical introduction to sociological method= s (1st ed.). Routledge. <a href=3D"https://doi.org/10.4= 324/9781315134543" style=3D"text-decoration:none">https://doi.org/10.4324/9781315134543</a>Hern=C3=A1ndez-Sampieri, R., & Men= doza Torres, C. P. (2018). Metodolog=C3=ADa= de la investigaci=C3=B3n: Las rutas cuantitativa, cualitativa y mixta (6ta= edici=C3=B3n). McGraw-Hill. <a href=3D"https://artes.u= pn.edu.co/wp-content/uploads/2024/11/METODOLOGIA-DE-LA-INVESTIGACION-Sampie= ri-Mendoza-2018.pdf" style=3D"text-decoration:none">https://artes.upn.edu.co/wp-content/uploads/2024/11/METODOLOGIA-DE-LA-IN= VESTIGACION-Sampieri-Mendoza-2018.pdf</a> &#x= a0; Jerez Disla, J. M. (2025). P= edagogical innovation as a product of information, communication, knowledge= and digital learning technologies. MENTOR Revista de investigaci=C3=B3n Educativa y Deportiva , <span= >4(10), 243=E2=80=93274. <a href=3D"https://doi.org/10.56200/mried.v= 4i10.9350" style=3D"text-decoration:none">https:/= /doi.org/10.56200/mried.v4i10.9350</a>Llerena Ramos, M. A., & Mu=C3=B1oz Bur= bano, A. L. (2025). Gesti=C3=B3n digital y su influencia en la ciber gerenc= iabilidad de directivos escolares en tiempos disruptivos. Revista Cient=C3=ADfica Multidisciplinar SAGA, = 2(1), 261=E2=80=93275. = 0; <a href=3D"https://revistasaga.org/index.php/sa= ga/article/view/45" style=3D"text-decoration:none">https://revistasaga.org/index.php/saga/article/view/45</a> Mart=C3=ADnez Bonaf=C3=A9, J., & Roger= o Anaya, J. (2021). El entorno y la innovaci=C3=B3n educativa. <span= style=3D"font-style:italic">REICE. Revista Iberoamericana Sobre Calidad, E= ficacia y Cambio en Educaci=C3=B3n, 19(4). <a href=3D"https://doi.org/10.153= 66/reice2021.19.4.004" style=3D"text-decoration:none">https://doi.org/10.15366/reice2021.19.4.004</a>Ministerio de Educaci=C3=B3n= del Ecuador. (2021). Agenda educativa digi= tal 2021-2025. <a href=3D"https://recursos.educacion.gob.ec/wp-conte= nt/uploads/2022/02/Agenda-Educativa-Digital-2021-2025.pdf" style=3D"text-de= coration:none">https://recursos.educacion.gob.ec/= wp-content/uploads/2022/02/Agenda-Educativa-Digital-2021-2025.pdf</a= >Narv=C3=A1e= z Vinueza, J. (2023). M=C3=A9todos y estrategias de ense=C3=B1anza orientad= as a la innovaci=C3=B3n pedag=C3=B3gica. LATAM Revista Latinoamericana de Ciencias Sociales y Humanidades</sp= an>, 4(6), 649 = =E2=80=93 657. <a href=3D"https://doi.org/10.56712/latam.v4i6.1475" = style=3D"text-decoration:none">https://doi.org/10= .56712/latam.v4i6.1475</a>Organizaci=C3=B3n de las Naciones Unidas para la Educa= ci=C3=B3n, la Ciencia y la Cultura [UNESCO]. (2024). Transformar el panorama digital de la educaci=C3=B3n superior en = Am=C3=A9rica Latina y el Caribe. = ; <a href=3D"https://unesd= oc.unesco.org/ark:/48223/pf0000388361_spa" style=3D"text-decoration:none"><= span class=3D"Hyperlink">https://unesdoc.unesco.org/ark:/48223/pf0000388361= _spa</a> Rossi Cordero, A. S., & Barajas Frutos, M. (2018). Com= petencia digital e innovaci=C3=B3n pedag=C3=B3gica: desaf=C3=ADos y oportun= idades. Profesorado. Revista de Curr=C3=ADc= ulum y Formaci=C3=B3n de Profesorado, 22(3), 317=E2=80=93339.<= /span> </= span><a href=3D"https://revistaseug.ugr.es/index.php/profesorado/article/vi= ew/8004" style=3D"text-decoration:none">https://r= evistaseug.ugr.es/index.php/profesorado/article/view/8004</a>Salinas, J. M., Pal= acios Urrueta, J., Villa, W., Fonseca, Y., & Pati=C3=B1o, Y.<spa= n> (2025). Gesti=C3=B3n = digital y liderazgo educativo en contextos de transformaci=C3=B3n escolar</= span>. En: Reina Zambrano, J. (2025).Rupturas epistemol=C3=B3gicas y = pedag=C3=B3gicas desde y para las innovaciones sociales en educaci=C3=B3n (= 1ra edici=C3=B3n). Editorial Uniminuto. <a href=3D"https://repositor= y.uniminuto.edu/server/api/core/bitstreams/3b38c3ba-4f19-45e1-8501-f829c31f= 6e52/content#page=3D211" style=3D"text-decoration:none">https://repository.uniminuto.edu/server/api/core/bitstreams/3b38c3ba= -4f19-45e1-8501-f829c31f6e52/content#page=3D211</a> </p= > </s= pan> = El art=C3=ADculo que se publica es de exclusiva responsabili= dad de los autores y no necesariamente reflejan el pensamiento de la </span= >Revista Ci= encia Digital. <img src=3D"data:image/jpeg;base64= ,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBA= QEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCABhAN4D= ASIAAhEBAxEB/8QAHwAAAgICAwEBAQAAAAAAAAAAAAoICQUHAgMGAQsE/8QAUhAAAAYBAwIDBAU= HBQgTAAAAAQIDBAUGBwAIEQkSExQhChUxURYiQXGBGDI5YZGhsRd3eLbwIzNWs8XR1vEaJCYoNT= Y4QlJVWGd0lpe0wcbh/8QAHQEBAAEFAQEBAAAAAAAAAAAAAAMBAgYHCAQJBf/EADcRAAIBAwMCB= AMHBAAHAAAAAAECAwQFEQAGIRIxBxNBUSJhcRQVMoGRsfAII6HBFkJDYnLh8f/aAAwDAQACEQMR= AD8Af40aNGmmjRo0aaaNGjXwTAH+r5Bz/AdNP5+vbX3RroFygUwFE4AYeeC8CIj2jwbgAD1Ao+g= iHoA+gjrv55+f4gIfx0/1yfkD2OqZGcZGckYzzkYyPryOO/OjRo0aaro0aNQv3pb68HbGaE0uWW= 5J88lZ5ZZlTKFW02ju325+3KU7n3e1eO2TVtGMCKJKSku/dN2bIiiSZBcvXDVkvUAngAk+wGdNT= Q0aVLkfaVpUXrj3TtQYEjgUMDUZLK7g70yfI9or+VoxECm445AnId3d68caztE9oxslzvFOp5tr= 0HHltVngq8Z8XJr9wZmWZk2scZyVAaciCx0AciqVMyqZTiTtMcoDzqQQyEZxgYzyQPb07+o9NNN= L6NVdbx+rJt42PZRi8R5cqOYp6yzFPjbu0e0CuUyVhSRErKTMQ2QXcz+QKw9K/I6gniiyRI5RAq= CjYxHKihlE0rJ6tPtbVWoCzsU3CTGxQ0bNsk3ZEknSbSVaIvmxHKaKq6Ka5UVyAsRJdYhFAMUqq= gABxjIIxkEZGRkYyPce401ntGjRqmmjRo0aaaNGjRppo0axc3KJQkPJzLgiqjeKYPJFwREpDrGQ= ZNlXKwJEUVRIZQU0jeGUypCmP2lMchRExawtn3Vy2572crq4dxTTMzwVob1WWt6zq+12kxUL7th= nMa0doEdwGQrO7M+MpJoigmMeVuoBFBO6S4KB64JBIBwO5xwPqfTTVqOjRo1TTRo0aNNNGjRo00= 0a+CIB+/5fZ94hrrWVKiQTnEpSgBhMY5u0pSlKJhMIj6AAAHIiIgAAAiIgACILydQ7rVxuJ5SZw= 5tVSh7Xf41VeOs+UJBJOWqNVekE6K8fW2PeVCyTrQ5R8d85MpARywppC3mVyO27PJ9p7O3Dve6x= 2fbtC1XVMA8sjkx0lHBnDVFZUFWWGFOcnDOx+GNWcgHGt0busWzrc1yvtYtLCW6IIVHmVVZLxiG= kgBDSyMSFzkRoTmR1UE6YbFYgD288j+r1+f8Ab/8APXWpM5Zvx1t6xjZctZPnU6/Tqu0M5evBTF= d26cmASMouLZEEFX8rJOO1owZJ9p11zlATpkKdQiCtp3wbvrvOObDO7jsvryjhyLkDR11m4Vm2O= btESMIuGdMYxgj6D2t2bRBFLuEU0yCPIzx2wdVy3eScYJ3vpn3B7crwiWAsruytgkrpVGbo5Ewl= 28kmUH8+zjzD5w6DpVSwMjpJPICVbuWqTFzu2v8A6ad02iniuD3CgvcVJJHPc7TankjuktEjK1S= La1XBHDNP5QcwLIIzIcBVdyqtpuk/qD2/dJZqGOiq7Q9Sjw2653LypKBKp1KwNXJTuZYYhIV81k= eTy8Et0p1OvkMv9YDcxdtzsPnehzK9Lp1MdumVNxUuso6r7+pulU/Psbu3RVRQmJOwIoIqSTshS= qxS4I+5HDc7FBwdrfZXvUxfvRxezvVIeEjrMwTatb7Q3blJSap82cgCogsmHhqOod4ciikNLkRI= i/bcgcqL1u9atk8t9OxhztreRGUsUzR8m7WslnRk8aZKYHLIpxyEpy4bVi0PmgeGEm1SBQrOROi= 1SmEUDiCDeQTdskYzbb9yOVNrGUoPK2J7AvEzUaqmjKRiplVoK0wZ1SHf16xRxTAR/GPiFDkOCu= mjgiD2PXbPW6K5Ntbj8Jdl+IuyLZXbCigtlxtVGaegZo1jkkeAlZ7TflAEkdckpZXmqVE8dQzpK= ejCjWG3PFDdOxd3V9JvKeorqK5VPm3FS/mxxiYDyrnZiC6y0rIBgRs0UsYAVi6Nj9HQpwMPAc8/= r4+XPrwI8fL79c9Qr2Ub1cXb0MYNLxR3KUZZoxJq0v1DduyKTVPm1UTCZFYvaQ72JenSWVhphNM= qD9uUxTAg+QeM200SnA/qHw45Aefj/b564euVur7PX1VrulLLRXCileCqpZlKSRyIcE4PdWGGVg= SrKwKkqQT2VbbjRXahprlbqmKsoauJJaephZXSRHUHuv4WU9SspAKspBAIIHIeeB4+PA8ff9mkB= uspnKYzPv5zCxdyDhxW8QSKGJKqwOcopRyVVQRSswpJABCAq+uCs85OcwnVOl5RudQxG6QEf5N8= B+Aeg+o/D4fbz6cfPnX5um/po4jt8u7dKQTED/lJZgeiCo+h2j+/zcizMYRAOUzMnKHAgAd6fAl= EAMA6gpR1SS57IgKfX4erPv3H8GvdpojZX0PtqsfgTH9j3EUyRyRlO61eGtdkK/sthhI2rOJ5ih= JpViKjq9JRqRghm7lJk+fPVHjh7IJOl0joNTotUZlQvR36e1dmoiwQ2BWzOWgpNjMRjsLtf1DNp= CNdJPGS5U1rIokfw3CKZxKomdMwF7TkOURKNiVImoqxU2pz0Gui5hputQctErtzFMitGSMY1dsF= UTF+qKSjVZE5BLyUSGKICICAj6jUZdiSeo8/M4/nb9Bppabq8Zu2KY33NViB3M7SLPna/OcSVyS= jbjDZMk6g1ZVlxZbghHwR4to4RSVXZyDaUeHeCAnVI/IkJxBEoBeLZtwGGdv23aCzDkebb48xhD= 0usu24vjrP3TZs9iWYw1fj0G5Vn01MHTUQZNWrRJZy8VKJwDtBQ5FOPaIf+W/RP6PVK/rtkXW0O= vJk2b+guxzDjd65QrpcPkyRLsE1VCtZKWcx1frUEu6S9E1DxDVhPg057hJ74dG+pz9eRYwwhBYj= q6wScnAXGMD9/fTUy7P7SJt9YTDtrUMAZeskMisom3lZqYp9XcOiAbgi5Ixs8s4JJKAAimCr0qw= E7TKJJnMZFKW+0Pq8Uvd7Bbgp2v4ctVLR2/YvfZPlkJizxEmpYmTFnMPDRUeZlHtytHJyQ6pSru= ROkB1U+SgUDiC/uzfdh0oMDYartczPtNvuaswPEVZC+3ax0vHtnjFZZdysZONqaFgvaQxcBEtfB= YN/Cj2LmUVQXln6Sbl4Zuhcvtl3C7I9we3je9KbRNuB8EvatgK6sLo5XptIqbiwtJajXRxFIEUq= U1MneosFmDpU6TwzcqRlgOiChjG7b3jQLxHIOQOskFTyo/zz9CQCNP5+utIk9pQxNx67YsjCPP8= Ah5WfQPiAc+5/UQDjkeA5Hn0+0dqYe9oe2zX68RFUyHjDIuI4madN49C6PZCDtcBFunKxE0lrEl= GjGykfFgJuF37FhLmb9wKuEEWhFnCVNHQ328YX3I7l8k0/OGP4PItZiMMyFhjoieTXO1aTKNuqU= elIJeXXbqFXIzfvEA5UEgkcH5IIgUQ9711do+A9rmTMGL4IojTHjG/1C1qWKDiHTxSFXe1uVikW= Ui3ZvV3RmbtVtLKN3PllUm6xG6Khm/mDLLKXeXEWEXSwcgYbqyBnGDj/ADj5/LVSCDg6cUyTmvG= GIsaTGYMhW6KruN4KHSnH1qcuCKx5mDkiRmJmIthVWk3EmZdujFtI9Jy6knDhBBmisqsmQ1D1y9= o826xE68Y0nBmXLlCt1jpIzsrI1aomfAmbtBw1ixcz7lNoqBe9Hzws33YYBcNW6omRJXr1SMvWg= Onj0wMWlk3akXd8XLXy2FOsoBpF9RqtRoGqg5VARO4TbI2ydV8uc3hisVosYDHSSAk+ukz0stp1= 82g4+zZm3G8dlS+5X99zxz2N5JqQ9cgWk7Iw0LDQsWzft2JTKMoxKTkJFwgpIKPX67VNZNk3QT1= Z5aonW+eWYDHrj6Z+ffVNSv2X9WvH2/K05NxxFYYttISp+L5y7yjiatERKIS0W1WaxruJQTjmDR= Zu5cFkOSODKGIQpDBwAm51CbpL5y2F5G3Svq/ts2h2nBuRC40tL9W6TGTZK2s1oBCTrycjDDGO3= SyZFXq67JcjoqfemDQyYGKCpubnqdsr2u7bonItvwfhyqY6sUvj+yQclKwKT0jp5EqMDuzsVjOX= jggomdNGy49pCn70E/rdocCqr7Pp6b8ZIP8AuSvfr905Tw/fqiKrLM3xKoVOOrIz1KCT74zkemf= T001cpuf66+OtsGe8lYGmsA3a1yeOJprDu7DGXKCYMZJRzER0sC7Vk7ilnDchU5EiQkVVUMJ0zG= 7hKIa03B+0j4LeSrJvY9vGVoKGVWIR9KxdjqdgetETGKArJxTgYFJyBAEwnKMkibtDkoiYADXpN= 529fpGYoznca3lXbNB55y6hJeFkWyVjGNEsKjOwNkEWqsbN2S0ysEMhNMEEUWjxFkZ8Vgoj5Fws= k7QVbp097592HTFz1hh7Xtum1G2YVzJHTMFI1W2MqdQqnCKMiSCKNiirIar2+RcSDN5CLPTsCHi= nKjeZbsDkWbIGdGUuSNGVcxyDI/HnC+nOMcjvwOeRpp1DB2b8b7icZVfLeJ7CjZqTbWIu4yRTTM= 3XSURVO2ex0kyV4cR8pHPElmb9k4IVRBygqT6xQKc229Ltezgz0m+2vZtgHblReOgM4ndRSKhxM= Vn78o1WUfIIB8E0FF48jnsKAB467hUfrqnEWJded1KuV7gDv8//AGDpo18MPAc/d+8ePx/aGvuu= JwASiAjx6h6/Hj1DVD9M/IY/2QP86cepwPU+2qIOtfvsmcC45iNvmMpRaKyZl2MdP7FPMVhSkKj= jkq60asZkoQwKN5a2vEncYzdE/urOMZTDhA7d4aPcprXbLtm+SN6mWkaBS+Y2Cjgbyd/vDpBRaM= qUEuudPzSwFFMHkvIGRXQhosFUlpBwmsoZVFmyeOUJWdbQbAO/3IITXmvIlqGPSVjx/E8AIItZa= GP5TvEQ8AZxSZ7/AAw8MXYOh/vvjcsKdFHGVOpWxag2iAaNjz+T5az265S5CkF0+lmlhlayxZLK= lKBwQhoeEZMkWwnMRNcz1yBSqvnBlOzaO8U/hB4GWS9WGGKbcW7xTn7yaJJEiratKibz5DzmOhp= qcJS0r9Uf2pjKxyMnkKotk/in4x3O2XieSGz7badRRq7Ixo6T7PEaeLkEPW1FQXqagAOYVVMYOB= JrbLsC2xbX6kygqHjSBfT5GoN5q/2eOYz11sS50iA6cPZl81UMybOD8iWIh046GbB6NmCQifmA/= Ul6R9CzzW5HJe3WsV+hZthknD5zCRDRrB1zJzcpRXXj37ZqRvGxtoHgwxk74CYPluGE0odJVB8w= vQ44/t/b9muJiFN+cHPwH7fiHwH8Ncv2rfW7LPuCPc1Le66S7iYTTy1VTPUQ1YLdUsNTTySNFLB= KMoY2UhFIKYZF10dc9i7Xuljfb89ooorf5fRCKWnhp5qZ1GIpoJkQOksZwxcHqkwQxIZgUVdmu8= l/tjkrjtX3V0qQuO224yT+r5MxjaGLg81jqYVdHbyE7Bx7vsdsXDB0l5qTjWpmzoq7VKXg12003= RUd+U33bEH+2Z5BZUxbJLZG2t5RK3lcZ5HaD50kc1lkRfR9csrlBMqaT/ywiEbIKEbozCDdUwFI= /SdNEmu9xXTJ2z7mM2UfN99riyFhrL1NW1xsQZFlGZQj2KQhER11IRMq7ske4TbAd03UScyEUia= DfKKsfLg2mJkvC2Oco4ps2HbXWYt5QrHWla0vAFaoox7FgRuVKPGMbJEIjHLQ6iTZ1ELNCJHjXT= RquzFFRukYu9B48Wm37itO5bFaqqhlvEQTxCtC9KWqqmR0i+1W+PhvvIRxmoNejRGpjeKKo8xst= HpZfBW7V9iu9hvdypa1LY/Vsu6YY3JIWTzTS3BviAo2ciFqaQTGKWN5ISqsS/57u3DcXk7a3lSC= yziqcXi5uKVBGSjjqKDD2eDUUTPIVywMSnIR9FPipAJkjcLNXRUn7E7eQbt103zdnG6mi7wcLV/= LlIORqdyBom21tRUFZCpW1kk3NJwT8eCmOCYLJO490KaZJCMds3xCkFY6SSCed8XPsJ5mydiSRX= F05x7drBVRdGL2meN4p+s3ZuzFD0KZ00Kg4MX4FFQSAIgHraZ0OdxEvijdgGJl36hKbnmIXg3bA= 6hRbpXCvN30xVpVNM4CAOTo+9YU/hiUVk5RMVe7yqXbtnx02Jad6bR/43tESi8W22xXaOpjUhrl= ZniE8kVSoXLvHTuKimkYlgQ0bYVsjW3g3vS4bR3RHtS4Ofum4VklsmpmbP3fc1m8mOWNiwVE89D= DPEmQwfqGWHTp0w3IlNwHI8DwHPHI8egciA8c/PgePkOkrOvLs9tmMtxz7c3Awj13jPNKEKeflW= DU52NYyJFRbaDeMpNREpytErIxi2MuxcOfDK+kl5hEBMdAPGdRIIiHqPPHHr+r+3+vWDs9Uq92g= pOsXKuwlrrU2zVj5mvWSLZTcHLMViiVZnJRMki5YPmyhREDoOW6qZvtLrgeKToYOuCGHP8A3KQP= 9Aa7hHP8/n5aSe2k9dbPm2TElaw5Y8aVLMVepEajB0yYl5yXrNliq+2Avu6EfvWjWXZy0fEtexl= DmNHs3bVgmk2UdOkkUSpzToHtGOQbpeqbUFtr1QYJWm1V+uqPU8kzKyjNOZlWseq7IieqJlWO3T= XMqRETkBQ5SlMcheR1cRNdIXpxz0i5lHm1ynt3DtQVVUYexZAr8cQ4/Y2iYG2x0WyTAPQiDJm3Q= IXgpUgAC8EF0h+nbW5mKsELtthGExCSLKWi3pLvlJYzSQjnKbxm5Kk4vCqChkHCKagEWSUSP29q= hDEExRlLwkk+Sckk/jIAyR2GO3fA+YHz00uR7RAPdvfogByI/k9UoPQB+P02yL9vHH79Ss64m2+= 3XLbhtL3GVWGdS0ZjDHMdS8hmZJLLrxEDY4euSNcnHCCSZuyLZy7eVj37wwgVsvLxwG4SOscl9G= fun9tE3Q3RjkPOuG42/XKNgWdZZTbuy3eHVQg497ISLRiDWuWaIYHKi8lH6wLKtFHJxXEiixkyJ= EJKdCp1xGtoU8Ydk4rDeHRgCwj5IJGPVhW7QrBONdoP/MFetRZEK2VTeAuC6XcVfxO43dRZAvlY= GeguSD2PVjj6fPuNNJI7Ot6fTWpeGK9S91eySAumSaskrFnyJWKZWpg11iyrHWjZKeLJy8Ou2sD= dmolGyBiEdEkjsiyx3HmHy7dC4fa/uU2JZqwVvfrmzbAbzCT2F253iavCi1Wg643n2q1Ot7GITA= YiZlRdLM1PPCALlQBIjgwpmOJhAJ32fpI9Om2y7ucldrVHbPnqp1nCddlLpUYvxDjyYUIOp2eFh= GYCP/MaR6BQDgAKABxraOHun/tFwEyyFG4jw8wpzHKtVcUq/N21nvEkWw1l0i8brRa5pyzSarMh= 0ZB2UHEYoydl8YTFcFMVMxbnkiK8eb1ZB5YdHdSR0An2OOc9jp/P00sX7OQA/ld5bHj0/kAk/X7= P+PVH/t+A/Idbn9pT9cgbVwD4/Q/Jg8fbx75qgc8fHjn7fhphbb9sL2m7WbZKXfAuIY7H1om4Na= tysq0sl1mFHUI4es5FViLayWSZZJlO+j2S4rJNyOAFEClVKmdQh8tuJ2T7Y92EhWZPcBixhkV7T= mkkyraz2ft0KMY2l1mq8ikmWsz8KRcHKrJscwugXMQUgBISAYwDaZR5qyDqAAX2zwMe+O/z00t3= 1Bdt1ryh0pOn9nCoxL2aWwPi5ghb2Ec3UcuW1JvlbrKjywrJIlOoZjAy1SiknZilEzVtLqvjCRq= 0dnL4fp0dbqsbT9vsBgDMuLLdcouiO5gtHtNEdQoyCkJMS7yaVhZ2LnX8UiKkVJSD9KPkmL1UFY= 4zVkuwQUY+ZeN20nG1Ix3Qq7jCn19rE0OqQLWsQNcMq6kGbKAZtwaN4wyko4eu3jcjcPCOL5w6U= WJz4yigiIjCm5dKHp53uce2Ge2u0NGSkFDLuxrb620pgqucxjnU9y02xQUKkY5jCY5kY9MxjmMc= wiYedBKpUq6s4BJUdXSFyfYA899NaP2s9V/D2/F/ljGuOcdZIqElWcTWe3vH11TrZGSzNEiUULZ= uaFnpRbzJlpFNQAURTSBJM4mVA3YU9APs+wh+XlJgPPH8iV9+wf8Aryn/AA9PX9XHPy+3TWODen= 7tE22TVgsWEsOR1EmrTXHdRnnrSzXiWNIV58si4cxp0rDZpduiRRdBFTxmyKLkok4IuUpjAbqwN= 09dn22S7q5HwfhiMod1XhX1eVnWlnvMuspDyazVw+ZC1sNmlo8pHCzFqoZQjQq5RRKCapCicpiy= KqSqFI606V56sHg5JOPUegOmkfKjL44wZv6tUlvUxhMZTqdTylk9LJtGUEyz2bmnalhQjpdZq/f= Ryc2yRnHcdYyNXT9JrJMypOTGcoHBBxM3eXu06WOUNvN2pO2faY5xfmSXc1g9Wup6JWoUkQ3j7X= CSE6Q0jH2KQeN/eMA0kWAAg0UFUV/BUFNJVRQrYGdun9s73K2RG5ZowPUbhbk0UWylnI4nq3Pvm= 7cgJt0JaVqctBvZhNumAJtglV3gt0wAiAplAA1owejd02xHuHbHBiPzG+ZYH/75q8TJxlXyAMnr= JBIUAnpyAMnJ7n6aar79m3EB287hhD4fy0RQfcIUWF5KP6w5DkB9fnpj3UedvG1TAe1KBn6xgHH= rTHkFZ5dOenY9nNWWaJIS6LNKPSeHWsszMuETEZoJIFTbqpJdhAESCbkwyG1C7BmLDODjv34AGm= vhvgP3D+r7Pn9mtHbgc/Yz214vsOVcr2JCv1iAQASdyhTyU1JqAbyEBX2IHKtKTcmsTwWrNDngo= KuXJkWTd24R3gf1Ifjn803wDkfgPwABARH5eoeulUOu/g3c27tkFmh7MyNz25xTVrFx0LEtVkGe= KpxyQqDt1Yo9v3JuEbI4AoM7auXtTVEsC6MyEIwsjmnh3ta27x3bbLFdrvBZ6KrkAklmJEtUUdW= ShoyytEKypJ6IGmIjHxEh2CRSYVv/AHHcNrbZr7xbLbNc6umTKRRgNFTK3wvWVIz1mCnX+5IEDM= QuD0Llx3blUca9Y/ER8y7fGB63urwQxlGljw9NPmJrDc8cKu13jAkU5TKkjLqNHJjuoZ22ASNZG= Rkq9Jgko/h3Ros9LvqSzezG1OsE5oSky4RnLK4F+Dps7JM4ntK65WUnJkYnIV2eGcO0f90kMCQu= GjhNWUZpi88+2fVWYfzBkLA+RK5lHGFieVq31d4Dli9bHHwV0TfVdxkk25BJ/FP0e5u/j3IHbuk= TCRUhg41c7k7GGKuqxiuZ3B7eYyKom8yjRSbrN2Dm6iTVDJqKDfsG11NA/aR08dgQwtXhAEy7kA= g50ycgaNlHfZN62jbtq2htl7kjluPhddJxFabw7NJXbHuc0gaGOulw8jWxqiR3obmQ700klRQ1D= CCVBrku1bouG4bou6rDJBQ+Iltj82vtyjyqPdtDHGEmelUno+8Fp0VK6iJMtRFHT1NOeqOVdN11= ywQ9qg4ux1+UYzMHNsm0nES0Y6Sex0lHPUE3LR8weIGOi6ZuW6qayDhI5k1UjlOUeB4DOaoH6Gl= M3d1fFtlDLRX0NgQzxy2xfVLk0fEuLKaQfKJzzuDReGScQtL8wRwiDF+kYHkoB3MS2ZNk3Sry/c= vwD/NxxyPw/DXEO7LFDtncN0scF0o7xDb6gxR19ExaKVCqsqueVWpi6vKqUR5ESZGCyOOddkbVv= c24rDbrvU22qtE9ZCWloKxeiaGRHaNyBgHynZeqEsFYoRlBgEnaX/oh+wNY2ZlGMLFyUtJukWMb= GMHcg/euFSooNGbRBRdy4WVMJSppoopnUOcxgApSiYRDjnWRMchQ+sYoAPp6iAc/ZwHIh68+n36= Wp6zfUhYREHObQ8KTqLqwzSQx+aLVFORUTgYVUAFXH8a6QP2mmZcDJhZ1CnEjCJ74cwKupB0Vj6= NlbOuu+L/RWG0QMxqG66ypC/2aGijI+0VczcALGhPQpYGSQpGCCwOvPvDdls2bY6y83GVQIUZaa= nDf3aurYf2oI1AJJYkM7YIRAWOeAV5t1WUWeatyGbMqRvcMXdsj2eZiTGKYhlIhSRWRi1RIYAEo= rMEW6ogIegn1tfpyR8lJb5NsiESVQXaeU4N2YUu7kjRmDhy/UOJPUEyMk1xOI/VAvPd6c6hT+P3= fH0Dn4fHn9X8edX3dBbbZK3vO9p3ESscsSpYhh3EFXnyyCpW8nfbU1O2UQaKCQUnAwVYUdupACm= 7mys3BqAURXEE/ovv2toNneF98RyqQUW2hY6JJSC8001ELTRU4GPiLMB1HgAAkA544M2XRVm5vE= Cz9KPJPVXuK71bIAVjijq1raucgdPlr1ByE5PUwBPxcOAE44DgOPQOfQQ/iAfs+zVd3U+3W5D2Z= 7YXmasZR1blrM2u9UrJGVqavXsQLKdGT82qZuwfR6wuEwZp+AbzHYURP3ENyHFh6ZeO7kBDnj+J= h/wDn9nH2+o0p9fj9H/KfztY5/wAva+X0Sg+WCOMrxjp9vTnH059tfRsZxz3/AGz6fl2z66pb/w= BkSbzv8BcG/wDlyzf6V6ykN7RZu5ayLZebxlhWXjSKFF0waxlnil10eQ8QqT4LE88BXt58M5myx= Sj6mTNrY/s/+3nBudI7cqpmPFNFyWeuvsdFgjXOuxs8MSWRb2cXxWPn0FvLg6Fm3Fbw+3xPCJ3c= 9heLSOof0qdrV620ZNn8TYgqeL8qUGoT10p0zQolKCLJPa1HLzK9emIxgLdhJM51mycRZFl0DOo= 9w4bu26hioHbLewtTiQRtEQDj4gxOCQO4wOBnk/8A011KPp9dRDF2/nHstN1ZmvUMh01Zk1yBjq= TeJvH0GaSKr7smIx8RNAJityxmrxNnIkRbrN3LVdm9bIKg3O5iblzrNQmKN6LjZ0vguXmZBvk2l= Y3+nKV3Zs2hlbmeABKV9yqV5dUE2ATxRO195dy/ljAVVMFA7F0eixliVxh1BcQsGj1RvDZQQsOM= rI0L3ClJM5uHdv4dBQA5L3trTFQD5M5w7iFbqETMXx1AG2HcPvixFTupe7whKbH8CW22pZvxhVj= Ztm2omvqkjOmqPlLQdUkYoPvaE94oDHmK6EQ93tQBUvxLG8aq7r0lgIyV5Iw3BDfPB/5dNNGB8A= 9efQPX5+nx/HX3UCt9PUExBsLx9GWXICD+03C0KO2dEx1Artm01ZnLBJMzx25eOvEQhIGPOu2Tk= 5ldByKB3KKTNlIOjlbDQy/9pSyOd2v7q2vUlJn4pyooPb9Ou3aZO7lMqy6EKySUUEglE3Y1REB5= 5TLyAajWKRgGCkqex4AP0yedNNt6o+zn1nIXC28h7tHXwTLTzxnfabRvpqjeWbFqdS3EhDkkPcp= 68uqQjEJkO5AZARX8uPCqXifVjps166mRt0W5vEuA5bAdLqkdkidkIh3YI61zkg+iyMq9MTYLN2= bhmmiuoc8WVASKHIUCqmN3AJQ14HdLviw9RupBI4Zm9kGArzbEsrY3r5sx2BoJryq+mk60ZpPqq= +61hLIwvm24R5vNGEAYNgA6YD9UEZXKuhI6OrIbkcjuPYDOe/7aaug6j25S8bSdpGQc7Y6YwMnb= KpIUtpHsrK2du4ZVOxXGDgHhnTdk8YODmTaSKx0BI5IBVgIJgMUDFHQvST3wZX32YhyXkDK8TUY= WWpuSi0+ObU5jIsGK8aNXhZoVXScjJSSh3fmpJYniEVTJ4JEy+H3AJhqi64XUJtwyuZdg/wDJpC= fRcyWLZocijKyYTHcVKsX8W4RngjHiAPCAwE4rc+WHxO3xhDmuDp79Ve7bBMdXbHtYxBXsjNbrd= yXJeRmJyWinDBwEFGwYsUko9sukskYkaksBzmIqB1Tl7Tk4Et6xMYDIQo5HqOBgHvx76afg0apU= 31dVK8bRMP7WcmQmIK5c3u4SnBZpSKkp2VYNa2v9GqpOi1YuWTdZR2l4tiXbgdyRMwptUz/nqHI= SsgfaTMtEKJ1dr1DKmXgTmG62QoAXn19RjRABH4AYeCgPx+Oo1jdxlVJGcZ47/wAOmm4Tc9puPj= wPH38enw9f2aWotXV+3IwXUhT2hNazjFTHJ9x9VxGMstDTRrT9HJuxw0S6dA8LPFY+8yN36xkVv= IeAVQCCZuYAEBnn05Oqzjvf0vZKYrT3GLsu1SLLOvag5lyz0XYK2DpBi4na1MAzjVlAj3rtshKx= j1im4ZecZKouHyCyiqK2ORP05zb+nLjv+vNX1JHHl5UkQjoi6ufckAfQ4z78HTT2JOe0vI8jx6j= rlriT80Px/iOuWoO2mjXn7TWYK4QEvWbLEMJ6BnmDiKmIeTbovI+SjniYoumjtq4AyC6CyRjFUT= UKJTB6cfDXoNGqqzIyujMjowZXRmR1ZSCrK6kMrKQCGUggjIIOo5I0lRo5FV0ZWV0ZVZHVhhlZW= BVlI4KsCCCQQRpKnqg9LuxbU5+Qy7iKOfT23qdfidwgmJ3spi2Tdq/UiZfgVF3FYcqHAsLPnE4N= z8xUudFwRi8lqrcR5cyDgzINfyfjCxPKxca27I7YSDQ5gTWJ3B48fIt/70/i3yYCg/YOCnQcoGO= moQwCHH6RNnrMHcIKUrNkiY+bgZxk5jZeJlGyTxhIx7xFRByzdtl01El0F0lDJqpnIIGIYwfHgQ= TS6nnSysu16flcv4YjJCybfplyd29YtyLvpfFT5woJlY2V9DLOqooocfcs6ICZmQAipkwOkmj6V= 7Z8HPGel3PSpsTfjwS1c0AobfcK1Y3p7zAyFBQ1wlzF9sIxHGWQrV8KR5pAfkDxW8JarbtY+8tm= pNFRQzCrqqKjDie1Th1cVdGEBZ6UOeqRPiMRyGDRFgL3tjXVjwBubq8RB3qwweH80IIIt56nWWQ= bxkJNPiFKkeTpM09VI0kGL8xRXCIcOE5uMUOq1VQfN0UpV3Ylc8+YTx3CL2O8ZVoNXg26QLKSMz= aYZk3MQQ5L4QquymXOYBDsTRKc5xEAKURENfm1fAQMHPICAgIcgICA8gID6ccfH5/D7tf0LunTo= CA5cuHAJl7CAusqqBCiXt7SgoYwFDt9AAOAAPQNT3n+lqxVt4lqbRuKqtdsmmMjWx6SOtkp1Zsy= RU1U1TGwhjyUh89JnUdKuzkZMNo/qPvdJakpa+y0dzr6eKOFa8VMlMJiqhFmqYEicNLgdUwiaJS= clQPRlTqBdbok9GzGJtnDx+i0fJuY+eza+ZLRjszZcpk12uPIx4mm9aidNQyR7NLNWrtIAVCJYp= rGbTCa1bp06fOXD165XePXi6rp27drKOHLpyuoZVdw4XVMZVZZZQx1FFVDCc5zCYwiIiOv5/v+Y= iPH6/t/WPz+epG7Z9quaN2V9a0PD9VdyyxVUDT1kdorN6rUo9VQCHkrFLCQUWqRC9xkmaYqyL4S= imxauFB7dbl2ztPZvhZYqwUhprbSwRme53e4PB9tqengS1lQyo3QD8MVOgjhy/SiF2B1qW/bm3Z= 4i3uE1b1FdWTOY6C1UccgpKcN0/DT0Y6lUYCmSeQGQjDPJ+HGE26bfMi7nss1jEOMolaRnZ94l5= 594Sgxlag01UwlLHOOSkORnFxjcxlVFFPruFfBZtSLvHLdBR/ja7t2pG1vDFMw5QmpU4qtRwe8Z= I6ZCPbHYXnhrzdjkzFE/iPZV6CixgE5it0AbsW4JtGjdJPTGxjYli/ZLjlOuVRJGdvU+i2c5CyE= 8aJpytmlESDw3bAPepGV2POdQkVDpKiRIBO5cqOHyzhwpOspRKP2cccen4enHoAAHH2a4o8ZvFq= bxDui0Fs86m2vapXNJFIGR7lVYMZuE6ZwoVCyU0TA9CM0hJkfCdd+EXhkuyKBrjclim3FcoUFSy= 4dLfT8OKOByuSzk9U7jHUQEGAuW56pP6/H6P8AlP52sc/5e1dhqk/r8fo/5T+drHP+XtaST8a/+= Q/fW6NQa9mp/wCC913/AI/Fv/t7hpiXctbIii7fc1XGdWTbxFaxZfJl+oqJAILdjWpFU6fJxKUV= Fg/uSJO4DKLHImTuMcCmQW2YdRHPexNC+N8KMcevSZFVg17AN6r0tOmTPXySKbAI0YyxwINiCWT= cC4BYrkVTeH2CkCZvE2Hun6tW8Xd3QVsV5EsdTreP5Fw1XsFbxxW3FcStHknCbtm1nXr+YnJZ0x= QeIoOQjkZBvHLropKO2bg6KBkfQ8EnmdWVAPSeSB7cd+/p9fX0014fpbwj2w9QXa0zYpHOuhlKM= mlQSATCmwgW7ucfrGAohwmkzj1TGHngCFOJgEAHUp94v6bqR9OP99Hgz/GY79fx+OptdBDYbeGm= QXW8rKNakK3XIauyMBhphNsl2MlYJiyoFZzN1btlwSXJBxteO+ho5dUgoS7meXdNe5OJ8RSEu8X= 9N1I/0o8Gf4zHery4aViCCqx9x2AyCc/nn9vbTXd17LpN2rqDWCqvFze7sfY6xrWoJE4mBui3mo= YtxeuAARAnetI2dwDhTgDim3SIJjFSTAjYGCNgO0/D2KqbQY/CGMbGrAwEW1krTZqRX52w2WYTZ= JBJz8rKSrF46WeSb3xnpkyrFbNCrFatEUGyKSRF9/aCNoN7HLFf3bU2uyE3SJ2mRFMyW5im6z1S= tWGsLvkYmcl00SGM1iJiBdR8Um8Eot272EFJ2okd8yKt47BntEGWcaYvqFCyJgaBypYKpDR8Ae9= o5Ekag9n2MU1SYMXszEqVK0onnFWjdI8rINnzdvIvTLOyx7QVTEGHpkeKEI3Cj8I4YEYPJJxjPf= 1Gf0ajZs4jo+H63sPExLJpGxcZurzzHxscwbpNGLBgz/lMbtGTNogRNBs1at000G7dFMiSKRCJp= lKUoBrs34/ppZn+f/Cf+IpGvA9Oi/Hyt1csSZQUiywZ8jZzybejwpHZpAkQe2wV9njxZZAzdmZ8= VgZ+LUrwzRqZyVIFjNkBOKZffb8PXrSTP8/+FP3I0gNTjiaQE8mAjnHJIAA+pPGmmFOuLSqf+QB= mm3/RWu/SwJjFqf0n9yxv0g8Mci1RmKYzPlvePh+U/wBq9nme3y4ihx4QiXUNPZ38eUK47b85Pb= ZSqnZnjXNybVq7n67ETDps2+gdXV8ug4kGbhVFHxVFFPCTOUniKHP29xhEbHusjSLJkDp4Z6hqp= FvJiVYNafaTsGCIrujxVUvFcnpxZNIoCdTyUOyevTkTAxxTbH7QEQ4FXnpodVpz0/ajkahSWHxy= lXL1ZWFuaqsbkFOlIWabRSMM9SVMtW7ChJMX7JowEhAKxWZOGpzgdyRyJEYo+aZkBBbK/DkA90/= XsedNMx9STfrtw2PwlKhL5iaGzJfptk4WoeMhZ11u0iK8y8Fm4mJCUloiaTrEIZdJOPZeQhX679= Voqg3agiwWUbUnTvXXwlZYeQgpzpnYlkYiXZuY+QZLZAroJOmjpIyDhI/h4KKoTvTOIFOQ5VCCI= HTOBgKbWueu/CXS/ZL227ohrsoyxvlrbfQmzBcwjJMa5ZDO564Pa06kkkUEivQi7fHrILKtmRZU= EXyjdEoNFiI7Kx31u9uFNo1Qqrzp0UBd1XK3DwjleKstPQjnTqNYINHL5qg9xS7dIpvlkTOgRcO= nSyPi+Gq7dnKZwpcsS9Ct5bu3qQ4AHIOAAw7c84J9/bTUQOiVKCTqa4hNEIKREZOMMytjxfnDu/= ChzYwussyi13YJIC/BmvHxxxWUbNwWcMknApJj2lLnsifpzm39OXHf9eavrEdGqWQn+qhiSdasS= RbWad5yl20YQ5VCRzeQxTkd4kyKoRJAigNSLlQKdNu3TEEw7EUiAUhcvkT165rYfnvlx1/Xir6l= IAmmwOlTTqBk5+IEDGSfz9frpp7En5ofj/EdctcSfmh+P8R1y1+fpo0aNGmmjWPk4thMsnUbKM2= shHPmy7N6xfN0nbR21cE8NZu4brlOisiqQTEVSVIcihDCUwCURAcho1UEgggkEEEEEggg5BBGCC= CNWsqupVgGVgVZWGVZTwVYHgqRwQcggkEEHVCu6voTYNyvMyNwwNZHGDbHIqKu3tXLGnncbO3Sn= iqCaNifNN5OqeKsce5GLeO4Vsl/cmEA2AqYFrNc9ALdum/Fu2v2FnLHvEpX55q1NzdnxA52hqoZ= QphDgRKBzAAiId3IacaEoCPI/Lj+P+fXHwi88/W9f18fw1tyx+OvibYaSO3024GrKSFemFbrTQV= 8kIHSAqVEytMVAGAJC+FGA44B1bePBnYN6q5K2e0NSTTENILdVy0cTsOOowIrwoeSSI0QE8nnS1= eBPZ8KtGyLCa3F5ifWhsgdNVzSsbsFIGPemTVAwtn1rmCryijBYgCRwlGQ0S+HuBRpLtTlIcWAc= RYQxbginsKHiWlQNHqscBfAjINkDfxlikIQ7yRdnUVey0iuBCi4kZJy6fODABl3Chg51tTwy/s9= fs/za56xHdG/t3b0ZTuO9VNdDG3XDRDop6CBu2YqOnEdP1gf9VozIQSCxydZLtjYm1toK33FZ6W= jlfPVVHqqK1urHWGqp+qUKxAyqMqnn4RrgBOB55+f2fP937tc9GjWIe3yAA4xwO2suAA4Hz/zyS= fc/M6NeJv2Ncf5UgTVbJdKql/rCjps+Urtyr8VZYQ71mJxauzxky1eMjOWwqHFBYyAqJCYwpmKJ= h59to0x2+RyPqNV1Fn8h3Zp/wBlTbv/AOjWPP8AR3WTh9nG02uyTWYr+2nA0JLMVSLspOLxJQ2M= gzXTHuTXau20CkugsmYO4iiZymKPqHqACEk9GqlmPck/Uk6a6ioppoggiRNFIpAImmmQpU0ygAA= UpSF7SgUADgChwAB6BxrRsxte252C5myPOYKxDMZDNKMZw15lMcVF9bTTMYZuaNlDWFzEqS5pBg= LRr5R4LzzDcGyHgqE8JPt3vo1aAFzjIyMHknjtjk+2mq/d+O/jEuxWsUeSy3TLbc4zIsnMQDJlU= mUG/FM0UxRduTSTadk4xuLVdFfsIBDOBE5TFOn2CBhpLlurN0lZFR9Iuun60lJVcqy513+E8EeK= 7dGA5wM6dHeLKmOsqPKq3hqqcmMfsMPBdMaZ42rbf9zjGBjM840hslMKu9eSMA1m3Ms3JFvZBFN= u8XbmiZCOUEy6CSSRirHVIBSFEpQNyYY1D0k+nQI8jtYoo/fJ3Lj8Q+k3A/jqZGiAHUr9XqVYAY= yMeh9M/njTSv3R+x9M7g+pxG5iq1NbVLHtEsOTstT0dCNE0K7TGFli7XH0+oRwoooMUyFmbBHsI= 9ggREDw0VIrNkCIMzgRyCe2u7crRcVciWXBOIJ+/ryDKVWu0zjioyVrVk40qJY+QPPvIpaUM8YF= boAyci68Zr4CAonIKKYlz2IMD4bwDWwqOGMbVDGtdFYXS0ZU4VnFEeuxICYvZNyikD2WfCmAJi+= k3Lt2KYFIKwlAADbWrXYM2VyBgAZPPHvjA76a61Ek1UjoqkIqkoQU1E1CgcihDB2mKchuQMUwCI= GKbkBARAdRokdlu0SXduZGV2w4AkZF4sq4dvnuIKC4dOV1lDKqrOF1IEyyqqihzHOoZTvMYRMI8= iI6k3o1ZprxE3jXH9lp6WP7DSqnOUdBi0jEqhL1yIkqwnGx6REI+PJAvGi0YRkyRSRSatitipIJ= opkRKmBC9ukPyHdmn27VNu4j8xw1jwRH9fI14R/aIj+vUptGqgkdiR9CRprQNM2q7accWSPuOPc= BYbo1tiQdFi7NUsaU2vT8cV+0Xj35WUvEw7R82K9j3Tli6KkuUq7RwsgqB0lTlHtcbXNuLq6hkp= zgnEC+RSzrezkvi2OKirbyWJm4SdtJwLEpEmmPezZygiujIedB0mqkmcipRIXjfOjTJ55PIweTy= NNfCgIAACPIgHHPw5/DkePu5190aNUAwMe3GmjRo0aaaNGjRppo0aNGmmjRo0aaaNGjRppo0aNG= mmjRo0aaaNGjRppo0aNGmmjRo0aaaNGjRppo0aNGmmjRo0aaaNGjRppr/9k=3D" width=3D"22= 2" height=3D"97" alt=3D"Logo_cicncia_digital CON ISS1.jpg" style=3D"margin-= top:3.3pt; margin-left:211.45pt; position:absolute" /><img src=3D"da= ta:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQ= EBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBA= QEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEB= AQEBAQH/wAARCABVAKIDASIAAhEBAxEB/8QAHwAAAgICAgMBAAAAAAAAAAAACQoACAYHAQIDBAs= F/8QATxAAAAYBAwIDAgoECAoLAAAAAQIDBAUGBwAIEQkSEyExFHEKFSJBUWF3gbG2Mjc4ORYXGB= kjdpG1JTZSV3OSocHR8CQ1QkZmeIKXstXh/8QAHQEAAQMFAQAAAAAAAAAAAAAAAAMGCAECBAcJB= f/EAEMRAAIBAgQDBQIKBgoDAAAAAAECAwQRAAUSIQYxQQcTUWFxIpEIFDY3doGhsbTBIzJykrXR= FRckJTNCUmJ1s4Lh8P/aAAwDAQACEQMRAD8AfnYy0bJoJuo980etlSgdJw0coOUFCGDkpyKoqHI= chg8wMUwgIeYCIa8j0wGZuBIoAGBI5wMUQMIdoCbkPX6OOQ9OefL1182/G+ccyYefkksXZRvVCc= lOkcwVmyysW0XBE/emV3HoOPYXiRDefhOmq6Q+gpiAiAvk7EMmXPMWzjDGScgyoTlytNPdO52X9= mbtDyDltJyscRyqg1TRbkWUbM0fGFFJMp1AOp2FE4hrcnaj2N5n2aU1DX1GbUWbZfmNa9DC0UEt= POsqxd9+kimMilDGG9oE3II087ae7O+1ui7QZ6/L0yqpyutoqIVbl50ngkRmEf6N0VHUhyBY77j= cc8KvSPVj3u4Nzhk6HjcoFu9Sg8m3uPZVTIMSwn2Kca1s0k2bMUpUiLSxtkWrdFNJomlMgk3ImQ= hUjJl7BPR04uqnG727JLYtsONnNHyXX6orbHbuLkE5WpS0UwkYuKfKtzOARlIt4DuXZGRYrpv0T= oCsqEgUUgIonxuB/Xzmj7Vsifm2V0W7oBlAu8m+CH+Yeyhz9Y3GhCH+wB/s1IjtO7MuCT2YVvEk= GR0lDnWXZJQ1UVbQKaNpZQKSJjUxwFIZzICWZmj1Fmve4BGiuz3j7i5eP6HIpc6q6vKswzqqppa= Ktf41FHG1RUgfF2mDSw6ABYLJp2tYC4LkhPT1Afd83kAcD9Ycca9CWlGcJGPpeRcIM46MaOH8g8= cqAi3aMWaKjh26XVN8kiTdBM6qhzCBSkKYwiAAI695MBAvn85jD93OqMdTO5PqHsO3PT8aqog+N= i6chEF0jdiiP8JgSrqqpDgICU6aMmoYolHkBABDj1CCUYDBLC2vSSB0L2J9xJ9cTVBJ57H+W2FZ= 98fWt3I5jyTaK5t0vExhvDUXJvIqtu6oCTC7W9o2XUbo2KTsRkDysUMn2i6ZRUMrHiyarItnir1= dPxjVlj8xdXaYYtZOJue/qTjXyKbhnIRp85PWTxuqUDpLtXbZuqguioQwGTVRUOQ5RAxTCAgOs4= 6K2GqzmPffQUbfHM5eGx/AWPIxYt6imu0dTEEi2awSiqChTkUCPlpJrJpEMUQ8dmkBuS8gL75EU= 0wECF4AfmDyAPcAeQB9QeWsyRlitGqD2eu+9wp+/wD+5YrhY/pvZQ37w+1bfhdMrrbiZ3K9Oo7S= bwk0zNB36elXNhY1q2PCNqrB3Jmo4mTLyLeOI7j4tuuLlQrdJVMTGIUbbdInczvn3A2HN7XeHWL= TXWFXh6UvRhsWJX2MyOnkm9sKc4DZV7DxnxsZFBlGCdJMyvsZVCnMUvtBREim+Cy2CjbPtzNzqE= zIV21VnCmQ5yvz0W4M2kYiXjKzIOmEgyXL8pFy0cJprIqAA9qhCm4EQAdAq6Gm7vM2SD7trNuFz= Fcr9XMZ0WkWVBa4TKsmlX2Kat1eTztn4/BURWZxiArjz8sG6Yc/J40gTdHbQSb81BJFytgABbff= w6+eDDP3iEH0OQfLn9IPTjnn19OPP3aneT/LL/rB/wAdJFZN6nnUQ3y57d4+2mP7jU4eRk5ElFx= 5jJKMZTq0FHmMBZi02l6CZk1jt+HUk5cScdCMDKlRJ2lKVRSzOBsKddyOzXiaRyk7zWONmWRKi6= vhZPM+LZCPGpITrI8+D6OZXx09etBjCuQXatWrhddLuIiiocxSjeYCouzxqbX0swDWIBF723seX= TBhtzvIPoco/wDqD/jqCcgeYnKAeY+Zg9ADkR9fmABEfq0kTv23fb3Y3qD5swthfOmWo9srlCPq= NDo1bsSrNqV3Jx0IhHREW2OKTdEHT94JU/EUIiKi3eKgFN3DrPK2aesxtRSrd8zJdtwtGhnUum0= iZO3yMdPVh7KJpGdkjH5Cqy8QZRw3SVVKxkgTM5QSWMkQ5UlBJUU7EITJGC6qwXULnUAdvft4+m= +DD4fcUQ5AQEPp5Dj+301x3kHng5R49flB5enr5+XqH9ofToIGOOrKiHTGdbycgQUe7yPX3rnGS= tXZHFhG3DKyaybOKMyAxjqM4qSarpWaVQQ8VWPjm0sg1E5myJjAGq28Dq9b27jY5HClsy/PGilA= cyELiJkzrVSq7d4dUzNkq7KRk0SESAdNoWWlXMi5TSMoJ1jFOfSaxMw1GyrexLbAEWv7r7+hwYe= Vt7x4yq9hfRX9JKsoOXdxiaaXtKij9vHuFWhE24AYy5zOCJlKkUpjKCPhgUe7jQAOmHu56i+ctz= ktSt1VRuMDi1pj+0zDB9PYSksesT2RhM15tEolsDqDjUV1lGTyRORh7QczkpDLFIbwBMXXfTmr/= VUq2Y8gTG8BXOTfF7fAuSTRLi+2KNlIZG9pKQDivqt0GMo9WTlE2aEwdouKIEImVwBjh3gBtC9F= DdpuWzdvSsdKy5m3IWQak1xJepdvA2eecSMajKMbDU2zJ6RuoAFBw3QduUklPUhFlA54MOhl0JL= Yq5VQbqdQ5qeY93vvgw3B3k/yy/6wf8dcCoQOBE5AAfIOTAHIgAiIByPn5AI+4B0pNnzCnXZk84= ZckcVu81Fxq/yRc3dBLGZoxdGxxagvPv1K6DCPfXxq8YtPikzQW7V02broJCQiqKZwEoUuyZuR6= xGw640+azxdspV486dd1CxeQZus5CpdpQjjojIxi7iEkbBFiqQi6JXjRvKR8wg2ckXRO38RJYbh= CSAQ8ZJAOnUNQvbmOYtffBh6319NTQI6T12tusrTKjKWqLlIe0SVYgH9kiGR012cXPPIpo4mI5o= uoYh1mzGQUcNkFTlKdRJIhzFAREAmrO7k/wBD/un+WDCdRvQfcP4afg6YP7v7bwP/AIGk/wAwT4= f7w0g+b0H3D+Gn4emF+7828f1HkvzFO6nL8K3fhXhcePET/wAPnxC34Om3Eue/7siYH/xq6cj7z= hHvcD+vnNH2rZE/NsrouHQE/bHvn2E2T830XQj9wP6+c0fatkT82yui4dAT9se+fYTZPzfRdbB7= TPmTzz6OUX/bR4ZfAHzrZF9Iqj8RVYciJ+iH3/iOqZ9Q/Hj/ACpsm3KUqJbqu5aQxZZH8U0QTFV= Z1IwDUZ9m2STL8o6i68aRJMoeZjnKX5+dXMJ+iH3/AIjrouim4SUQWIRRJUhk1CHKByHIcokOUx= TfJEDFEQEDAICAiAh565qxmyoRzAUj6gMdBsfPk6TW5GpbYN6WPrtkKSRg6NY4+boNonHfyW0G2= sjYgR8m+OACKDBrNtI34xc9va1ZmXcHECJG0+gwzbh2UaIP4/KePHjJ0kmu1doXStqIOEVSgdNV= FQskJVEzlMAlMURAQHSwu+noI5El8mWXJGz93WXlStsm9m3mKbFJkgH9WlJBZR0+bVWVdECJe15= VyoodhHSDmPdRCJk2SSr5BMFEx9F6IXUjIXtLieGKAB5FLk+jgHuAAnQANZZEcx1NKqGwve+/Ib= eYF+nutgw3LvsuNVtWxrd+FZscHYAZYAyaV2eElo+VI3MtUJUyRVjMHLgEhOBTdgKdom7TdvPab= hWLpRNZV7td6qrWEIspJrbaY0jZNuBhXU/wbkUyxEwJ8oTGQBUAAvmPpwPPAkf2LdOndrhXaBv7= xLkqjMIy8Z2xwNcxtHJXCuSyErKHq1sjARcP2Mk5aRhPbJRkmKr5VBPsVMcDCVM3Gy+jF0+twu1= SS3ItdyNEi4KByhVqXBRKKFkgLEnLJRzm1FnGjlGFkHotkjM5huTlwJAXKsqmAD2GAbV0qjjUGG= oEb8wNJHUHmT4bmx6YMLM7Jahu5vGVZOt7MZ6Vg8quaq9Xekgr7XMfTElWGr+PPINGkjY5eFRkE= 0nYsHbmMZulHJk0QeGbnQaKqonb2tbcet3XdxGHZ3OFmye5xDFXyDe5DbyudqJPRy1XQcgeTSew= 0fcnr2SQOj8k7Ru0cKKgIEBM3prTe4noU7qcW5gkb9svtLSaqa0w6l6ikhdDUPItFB6oqp8UGkn= SrFo+bsSKmaM5dhLpu3TUOx8yRUAyyuTYC2Q9Z+s5uxLYMk3bKDnH0JkOoSt1bO9xbaYaOKyxm2= TmbSdRJbasaSbKMU1yrMASWFykJkPCVE3aZeSVXBKtHYgD2lBOwAI3NxuPDl5HBioW4ECj1znPA= B2ju8xePAh9MnTRHnn1HkfMfPkeR5HnkTifCEyELsdrwlKUB/jspocgHmAfEdqHyH5vMOeQ4HnV= N8udMreDa+qatuchcexTjDxtxFEvxLAa5VhF2Nag3tbWkXgwq0knKgdFOOdCVv7J7QqJC+GiPeU= NFK6wm2HMm7La3C4ywhW2tmt7XJtcsy7B5NRUEkSJjYqebOlgeTDlm2Mciz9sUqIKeKYDGMBOCD= pF3XvIiCLKqAkb2KqBy9R4YMLEzDeRU6KNOcNgVFg33tS4yZidwph41CdpshW48gDxu8hBNwHcY= AAe4wBo4nwdubpq2069wMe6jgucdlyae2dkRVEJMWL+FhSwTxyjyDgzJRFu4btVhKKQqtXKZRAy= amsy2U9NOzn6ceSdoG7CuEqctdL3ZLBHLwsxET72vODIQbmrWqNeRq7pl7dHS0cKp2Rlv+lNSOG= LkQbPVOQ1THRL6k2FrjKkwnLRk/GKqKt2dzoeTUqC5lozvMZv8axUnIQci0X7AKZZl4j5s3cckS= ePCEBwe4OsiNGzBPaLhjsCTba23W/kOZNsGHPMj9o4+u3AB8qpWMAEPrhnvA8/8jpLLoPTDaub2= sj2B+Y3sUFt8ytMOxTATKA1jJypPXHYHA8n8JA3aHA8m4Djz0SHpv7Keo7h/Nd6sG5h1aHtBmcF= 5DqcW2mMvMrqzUuM05rgwpfihKwSPgKC2aSYEkDokI2KJ0zLpeOBtYt0oemVup21bobffM948io= PHllxHfKQo6bW+tTh3LuyytdUSZqM4eSduyJuWDJ93rmSBNMSgUxwOoQBTsixyrqDOVAWxuDexI= +r157eODA5w3qdTzf9uQtNW255BvEa8cHnZqs43olthqHB1ynxDlNuQV5CTfwzN44RRXZg8eyUk= s9ePHBhSACCVFPRW/DEXUkxvV6O/wB8crdJSryE9IM6SNoydVb8ilOEYpqyAtWsDZJteOVMyAoK= LLot01SFAgHOYvGrr5L6Ke/zCebLHZNqcuSSrS8lKrU27VTJDbHtuZQEmudYkNOpvJKHeJvG6ag= NHgMXDuMeAkDgpx8QiSGAZB6VvWDy0zYR+UW9iyGxi3Kj2OZ3PO1fsjVg8WT8JVyyQlrS6Tarqp= ABFFESEOoX5JzCAFAqylLKQUGwBtYHkBvvt05jc/YYBuAcBwHoHkGpouf8xz1Gv80EB/7k0T/7z= U0uJUsLuL2HX0/mPfgwOM3oPuH8NPw9ML935t4/qPJfmKd0g8b0H3D+Gn4emF+7828f1HkvzFO6= mp8Kz5LcL/SJ/wCHz4hb8HT5S53/AMG/4umwj3uB/Xzmj7Vsifm2V0XDoCftj3z7CbJ+b6LoR+4= H9fOaPtWyJ+bZXRcOgJ+2PfPsJsn5voutg9pnzJ559HKL/to8MvgD51si+kVR+IqsORE/RD7/AM= R1211J+iH3/iOu2uaifqL+yv3DHQbFJc89RHaLtlvf8WubctMqTcxhmFgLDL1+0yShoiTVdIsXn= tEPDP2YFXOyclBP2jxSikPeQoCUTaW/nlunN824mL++n34A/wBlZEf9g6W6+EDft7kD6MKY+APq= /wAJ2zW5cOfB97tmLDmNMuR+46rwyeSMf1S+NYJ1RZZ0eNJaYFlNoxi7xGbTBczUHhWyrhNEoKd= hlCELyBQyRDEERmYr3ihreWwP5/Z54MM14G327TNzEkaDwxnCmW+xlIqqFXBw7hbOuigkZZddlA= WBrFysi3QSKY7hxHtHSKAAPjHJqxtwvdJx7Eknr7b6zSoNR2kwTmLZOxlejDvnCayqDMj6WctGx= nSybddRJuCoqqERVMQggQwh85jcPt9zh0/9xSdMsUmMDkClOYi30y81B28bNpGPFczmGsMC+ORs= +STFdqs0XQXIVRB21dtFyqlTMJ2dN0t6x1v56UmBMh5nzZXdvLSy3env566ztbmbFFr32sRl1rc= vCNYquAo+RNLv0JWTZqj2pNmzfwlQ5OUBteFU02b2HAJK3JBNriwH3XwYPpUL1SsgxZ5yh2+s3W= FI6VZHl6pOxlhiyvUCkMs0M/iXLtqDlEqiZlUBV8VMqiYnIUDlEcq0J/o645xlifaW/rGK83wWf= 6v/ABp26TPfK9XZussSyTqPrxHcGaPnyJPRcRyaDdU6/aCJyPEwKIiQw6sRlHqN7IMM2V5Tci7k= MdQtojVztZSDYv3lmkIl2mACozlkKqymjRb1PkPFZP8A2d0nyHiIl50lov7I1NblswJ9Rs3v5jB= i7GtcXPMWJccPGsfkLJ+P6K+fIGdMmdxuNfrLp42IfwzuGiE1IMlHKBFP6MyqJTplOAkEwGAQ1S= Qerx05Q5D+U/UuQ+mv3wvPuMeqFKP18D5eo+g6GJ1lMMbcM9ZLwjccmbw6Xt/Kri5Veqxljot0t= KlpgZSWNKN55mrX25iMm5gclRFs8Ik5Exe4SF8wAEQ1Kp1pq2Bs5va3kT+R688GGF7hlnH9HxnO= ZinrNGkxrXaw4ucnbo5Q0zFFq7RmMgtNNFogr00kyFiAOUFI4rr2lMSmQBQDF50xtw3sbbd2j20= sMBZGa31xS0IxzZSNoewRXxajMnepxpzDORccC/tKke7KANxVEnhCKnYBidw09024LbZgfpfs9v= Etm2AlrPetlrau4gcpw1iZlyewToTWBhZyJQNGLEjEJ1VJFdu2mHLRVArghVh4ATaEH0Kd2u3ja= xZdw7rPuTIrHLe5Q1ARrasmwnH5ZNWGd2hWSTTCEi5MyQtU5BmY4uCpFN4xQTMYfLSgiBVnN9S7= DnY2seW3ien54MOq6mqjZC33bTcVUPGuTsg5kg6zRMvsV5PG9heRdlXbWpg2bMna7lk3Ywjp8gm= m2kWSpvbmrQwA4IXt7hEoaVL1eenIYwFDdDUAERAOTQF7IUOR45Ex6qUCgHziYQAA8xEA0mEJOo= Kx8wCR4dNsGCPqnBJM6g+hCiYfcHmI/cHI/dqjuIuo/s9ztktnh/FeXmNpyK/NKlbV1Ku2xgqqM= IksvJcO5OFZMSi2SQUMbvcl7+0QT7xENWTx3mLF2bKQS9YjvlYyJUZBNyi2n6pLNJePB0ilyuzc= qNlDnZv2wnIV0weEQetjmAi6CZuQBKDo7AH86LUg48gWyyIe/wCKJfSkaCTvAbjQp8iGBA/PyOD= D2QeYB7tTXBfQPcH4amk8GPmHm9B9w/hp+Hphfu/NvH9R5L8xTukHjeg+4fw0/F0wOB6f23gOf+= 48mA/fYZ3/AJDU6PhWfJbhf6RP/D58Qt+Dp8ps76f3G/4umwj1uB/Xzmj7Vsifm2V0XDoCftj3z= 7CbJ+b6LoSG4EQ/j4zT9q2Qfd/jZLfPotvQFOBd5N55+fBVkEB+YeLfRQHz+oRAB+jkPp1sHtLs= exTPBcfJujbmOQeka/Mbadx5b4ZPADD+tbJNxtxJUjmN7VFTc/by/nhyQn6Iff8AiOu2vEkYvaP= mH6RvnD3/AIeevLrmon6qDroU26j2RfbyJsfPHQdTqF//AHywjt8IH/b3L9imP/7ytmm5Nj4B/I= 22sBwHH8n3EIccfMFDguA+7Sjnwgb9vgv2K4//ALytmr6YB6/+33EGBMRYpl8JZklZ7G+L6XR5B= 9HK0okTIydXrUdCuHLJVxYyOSsXTlkdRI6rYqxUDlMZED/I1mNG7wwaVvpUoR6WIP138+V977Vx= pz4SPHxSWZ9usigmiWYc44s7V8chSgsdg0sSB44qogAGFMirqQBEDCIAJlO3jkdVutTh4r0FaCm= 5MoKLfeSoixAwmEpWoxF2WMVPkeAILpRwcShwUDiI8ciI6o/vq3i3PftuCNkx/WTwDL2CPpuPqK= ydKy7qKhUHLlZqzM8TaojIzElIPHDl0sgxQTOssRskmRugQwGg374Bl9tfRH25YwsjQGVqa5co9= htTUU/DWaWC2w2SLG/j3XHkZzF/GCUYsYe4RUaGApuwpebzZFhjb/ELBhbcgEeW4IIPMeh54Ma5= 23bgrVtw6F+U7VRZVeCuFt3AWXG8BMM1DIPotW1MKsWTfMF0xIs3fN4FnLGZOUVCLNHHY5SEFEi= mCrnTA6Vqu/8AiMgZJveRZeiY+qliTqjV1Cx7SWsdmti0ehNyoePKKC2aM4plIRKrhdRF0u+Xku= woIezqrL7mxniiwZV6C2RxrTFzJyOO9y8xkpZizTFVwrEwLGsx04uVMvJjpR8TNPJJyAFHsbs1V= BMXtAqnv9Gjqf4R2dUbI2GM/nn4GsWK5myFV7hCQD6yINpN9CRcFMwczHRBXEskCiUDGO4t40YP= Ee871F6ZqAt1FqMxVZNOz6135tbSOXPb3bGx8zFD+p7sqqexDO9ZxJTLnYrvFTeN4q7LSdlbRzR= 8i9kZ6wxJ2iaUYmm3FsmlDIqkMYoqCosryPHbxdPrrFKE1snECgAjtcroCIAACIAdpwAj9AfN9G= q79ZDddhTd/uSp+R8E2J/ZanD4mham+fSNem62unNsrNa5Nw3KxnmTB2omVpKsjlcJomQOZQ5Cn= EyRwCxPXX/652Tf+V2u/wDzaaqAzGEliDc3HM7BdyPP8jgxfHdBsTxznvplYO3K2W0WyJtu37YX= WJCsQsOMUWCl1YzH8dPIpzRXbFw9Mmd0n4SvsjlA3gDwUSn5MIoOkt088W7+5zNEdky23SqJ41j= qa8iFaapEJqPD2JxYUHZX3xpHPgMVEsUiKApAmICor393JeGSbAydyHRCXaskFHDk3T5YqJoplM= Y5xb4cauTgUoByIgmicwgHnwHqHrpf3oi73dvuzy85ySz/AGp7SYjIldp5YGwErlgsUeD2tP51V= 2xeIViNmJJus5SmUVGigsTNRBu4Iu4RUBIiqQLNA5tqINgAN+ngD925vvgwc/e9sP2ahtk2+0Tc= fn6axJjHbZGu6tT7U+ma1GytlVkY2MZi0dIPot0aYlxawJXKMfXo4zpUAdKFbHITggNsg7VOjAn= TLMtj3f8A3JS7N4WRc1hCaptndQ7ybbtVVY9lIJNsXMFDN3rkhGp1SPUQRBbxxE/hgGsl6+OYCZ= gy3tqtFOn387hOzYEaXjH732WUjouRdWO1TqUtLIRsq2Yu0X68ZHQSTgrxmg7RbptU1U0+8e/EK= rhrofOsURUrZN0ebEMpK0lF5IQi1dtyCCVzGIFZWMMDPEr6ORakmBFqmKMw4bg3Ao+2mLysN0aM= EVtUoNxdVNgLkAi2k8ut+fhywYzv4Pbk+0QG6LIuJmcsuvR7xi6cn5KJ7jixGwVN7FliZpBE/BU= HQsZOSZKqEKBnDZVAixjCgmBdK9HX96JU/wDTZb/umX1k/QOIinvslCtzd7cMOZF8Aw93Io+1wX= hCYDFKIG8Pt7g7S+fIiUphMUMY6Ov70Sp/6bLf90zGlXGg1DC51KnPzAJJIAvuLHYeuDD2JfQPc= H4amoX0D3B+GprAwY+YcYfIQAflCAgAfWIeXu+/TtfTK3QbdIzZhgnH0vm/GENdoarPI6ZrUtco= KNmY12rOTCxUHLB89brEVFFUixSCXuEhiiPADq4xOn/smTIBA2qYDNwHHJ8YVM5h95zxZzj7xMI= 69B9079kD8gpq7VsGJgbyMZpj2vMVA4AQASrMWLdYDAPAAYFCmL6lEB1JDtN7ZOGe0zLcuyutyf= P8pTL65q6OppnyysZpDTtCEkglkiUpZyx0uWBsLEC2I7cAdkvFXAOY1eY0+ZZDmRq6Q0ckMozCn= shkjlLJIkblW1IBc8geQNiAWZJ6GznK9wvF+xlu5xtPK2+zWK0oxDqqnBq1POyzuUBieYg7jOnV= TQ9q9nF0nFCZQC+KDcvPYFf4zpK9TTa1Z0skYJsNSlbPFlOijIYsv3xfKOGBlCLKtHsfdI2rISL= B0dBA68UoL9BcyZAOgr2EMDEn82BslRXB1FYTZVt0UREjiqXHINWVRN/2ToGgLTH+GJQ7gKQoAQ= vPIF5AOMqj9kdUq6hFsdZn3L48UTSMmihFZxtlriEufQ38HMoGv9cW7O0oE9oilewvIE7QEQHzq= ftw4hp6X+jmz5M3ysQRUhoOJOE8vmp3pY40iWB3y6taYroUAloWIIubgEjNn7G8omqjWjJGy+ue= Z6hq3IuJK6KoiqHcytNGlfRrGCZGJtHUqQpO1xbAxcJdVbcFhV5H0LqKbeb1QCJnRYpZsgadJpQ= qgFBJH2mzwzdN1GKl7vEWdzNTklkVB7CNq0nwcwHIxnlbHmXqvG3PGlygLtV5RIqzOYr8g2kGhg= OXuBFUUDmO2dJ89qzVwRJwioBk1UiHKYNaTWw9nuNZKxiecK5laFWKKTyJzniWuybl62EvYZsWc= xo6xxHtTqE/ozunlPmwDuE3spuDEPpyA2asa9Z3l5xVDobWsnGMDl5J4dnRn8R3fw+Cgzu2L5eN= rcRIlcD8tyswgoSfRARMwuKLsPFNrjPKvhbOnkq6Sgg4cr5CXZMrmqKjIpnJuf7DWrHXZcSTZfi= zVcIPsiNFuwf2SU3FGSgU9TVzZ/RJYK2ZQwU+cQodIstdS6qSu0KCwWdaeRgukyvIVxhu7TpL7a= d6GWBzJlmcyqxtIVuJqxUKdY4KJiQi4deQXZiLSQq8u4F13yLgFlfaxIoUE+1MnaIjWQfg8Wxvg= eLRuAAeB4EbvUxAB+bkP4B6MXSLNcewsLkaFZRtkRJ4XxvXV3L2oz/hcFO8i1HgEkYhZcf6ZWEl= yncMhOdq1kppFqeRU2xplHvIyYy4YLazIdSH9lhs1rC5ttexw+opBKgcKy35qwswPUEdPTpywL3= bV0g9le2K2ML5VqJKXS7RDgjuDs+S5v8AhQ7gnaZQFJ3ERqbKNgGjxBQPEbvwiTP2yo+I3dJCGr= K7wdoGMN6uKWOH8sPbYwqzG3RNySXp0oxipgZSHYS8e0IZ5JRkwgLQyUy5Msl7J4hzkSEqpAKIG= tbqat1Ne9zcdb77YUxSjb/tkwXsE28W6hQEpYVsSxC1uyHan9+dNLC7QZuolqNjO5+KYZgm4jU4= 2JKb2JOOWWMALByuKhEygRyvi34PtlC0vbU1znLY0cSa6rp/FY3eW6MgFXK5xVUWbQ83RbC0iyi= Yw8NYoGTNMvySNSj5g0Vk+gReVceXfGs66fsoS+1SeqEu8ilW6Mo1jrDGOYp44jlXTV61TeJN3S= h253LRygVUCCq3VIAkMDMvwcjZoAeeVtynP0ltOMyh/YOKB8/r93kHGlE0bl3ZTcWIF/f4+/BhY= nePQNrETneHoexy23XKFAfQdcYfHVo7nL+Wv0xIvUV46D4r1dcOGKbdeGakKeKAykgZ4VBwumUB= I5luH6V2Bt4UThiQzdM5IYT2LcXQVDYlo8/DQzNVBqzaHdHdoydcmVVVwdpnAhyKogCXBDJGMAn= HE9snRU2b7YshxeUYZHIOTLhXnRH9WeZUsEJLx9ZkUy9qcnGQtbq1VjV5BEeFGrmXQlDMVykdMQ= bOkk1il147ScAAAAF4AADgA4DjgA+YA+YPo0SS+0ojL2QbMebGwBv53Fxy574Maox/ieo49w7Vc= HM0HExR6lQovG7RnYzNpFxJ1eJgka8RtNHRatWr47yNSFF+YrRFFyKig+zpEP4RRGWjoBbELHPy= cwzUy/UW0k9cPCwNau8cEJHi4UMp7PHpzlXmX6DVMwiCKC0i6FMggQFOAKAWZ6ku4S7YmxvU6Vh= 6clWeV8l3aAiFW1LiVbPkqHxeg5VdZEuNRrTRlJrOH0LEoFRSdqsFUmyjzvbh7cVAxPymu5uXwo= 3YRR2VpvlZtNIeZOobTINinIu+03F1AqTRfItqy7L3iKGYj3C1iUasK7EvSSsnJTEsCCryOYEUL= G+1T8PZpLl1JmMLRD49LVpS0hLLPIlGYQ87atMaRt3rmMs3trTzWP6t21UcU5bT5lV5dIXU0MVM= 1TUgF4UlqhKY4gIwzuVKIjlVJV5owRa+M5yd01dquYcA4w285Brs1N13DUC2r2PLb8cFY5Br7Rq= 2RaHVRsDBki2XUepN24yDVzFrRTk6SKpo4qhEhTpOHwejYxyPNqz/AOfmABdqr5eY+X+IXP1eYi= PlqsqWfc2WKHyizdZ0yNjiwZduUWZSAZJVBzVadH31jI5AyI4XmLBDSlpiBwlgyMhRl0KzJVZBj= Z5mKT9pGSdO1HRAWW86yUTEzO+V9var9F1txVzWCvZKXj218maVZqsQMdrV9zUKrBwMTZbdPzFT= OLSXRsh3TSRcN1JBF/HyKUf6WYcHZpQdwI6qGrkqJhEkcaVCDW0cD276VFiIaSVoUKF0aSCUagL= HHmZfx1l1aJ2lgmpY6eETySs0Ug7sySrfukYyCyRrI4YAhZkP+VsZptP6S22fZtlI+XcTTmVH9l= VrUvVTt7jZYKUiRjZk7U7w4No+rRDgHJRZJeCp7WBCAJ+5M/Idv523PpGbYNsOc4/cDjyeyw7vM= cewmQaWazQEhACNlQctX/eyZ1WMdn7COTi27X4eGcCifxQAQHHoXqHR5bRk6faNbPa4czq0SkLW= ZaRq8FVqfjLC0HHxuQciR1ibRSspJsLJfnsjWIRrIDJjMz8M4RiXTCMTWWLnm3/MM9ul3KMMh+D= OUalYuw5GQw0RzJmVF3ljIrGt3C5MZYrIrdq+Vx1XXNShVju25RazU1IIJIt1yOkS+fLw5nFNTV= NVWR/F6anpe8ldmBbvQAFpljJ13eUiISaQqG7Nfkc+HizLKuakpqKQ1FRVzrEkYUqO6LXepLn2Q= scYZjHcuxsBa+xQS/ol9wfhqa4KHBSh5eRQDy9PT5ueB4+jU03AWsPZH71/Drbf18vS7ov5H6xb= w5+HPf0Phjtqampq7FcTU1NTRgxNde3gREB9fpDn/eGpqaoQDzAPqAfvwY6CiUfXj15Dy/8A3zH= 6/f8ATry6mpoAA5bDw3sPQchfrYC/XB1v42+zE1NTU1XBiampqaMGJrg3oPuH8NTU0YMBM3KwUB= B9Q+ru7UzkrhCZjwSlWV4NGek6upXEqFc21oOkylolRRw8gLWsimxtVaVQQZTTEzhnJLvWDpdke= 58Ftcwrmyk1+xXqpi4NLU+0VZvHRM3Y4Fgxx9cJtGwhRjtoaYYtn0RCvWUY4iwXbkTYv49F7FtY= wO1snNTT0zupqKfJ+GauCeaGpOWLF3sUjxsI4ameCMLpICFYgF1qA7WDMxYXxr/Jaannzziekng= imp1zR5RFLGsgLyU9NIxJcFmXXuEZiibhFUbY/dHYhthM8Veq45Scqr/wuB0R3P2h0g9JemjRpa= U3yK82cjwkoLJu8UBwCngyJTyDbwXiqqx9gK7XMPLY6h8XOq+6eVGCmICwMW7ucsDmTPMVdZstC= PX8+vKqTkkdkRk0aJkfyLhMWLdFiJBaJJoEmppsyZtmkrI0uY1sjQyI8RkqZn7t1tpZNTnSQWY7= cySTck4dqZPlUSyLFl9JEsq93IscEaB0Yi6sFUAg+eNaOdhG15eOaxP8Xijdi1rUhUhSZWm4Mxe= 1t/MoWIIeUUbT6akqzjppo3kIYkiZyeHcJmPHnbiqt37uxTgjGuGUp0uPYEIQLNNP7DMiZ/LSaj= mUlHSr6QVItLyMgq3Qcv3Dh8ZogdNuDt06cAn4rhUxpqaJ8zzKqiMNTX1s8JFjFNUzSRn2tW6u5= W+oA3tfYdAMKQZVllLKs9PQUcMyX0yxU8SSC4INnVQ24J69cbl1NTU1g4z8f//Z" width=3D"1= 62" height=3D"85" alt=3D"editorial1.png" style=3D"margin-right:9pt; margin-= left:9pt; float:left; position:relative" /> </sp= an>El art=C3=ADculo queda en propiedad de la revista y, por tanto, su pub= licaci=C3=B3n parcial y/o total en otro medio tiene que ser autorizado por = el director de la Revista Ciencia Digital.<img src=3D"data:image/png;base64,iVBORw0K= GgoAAAANSUhEUgAAAm8AAACFCAYAAAANdh9FAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAA= ADsQBlSsOGwAAIABJREFUeJzsvXmcHVWZ//8+p6ru7S29pLPvCQECkkT2RRFEJSwuuKAwgUFxG/= 3BT2f8hkXRcQYc5su4oKDgoIyyigKCQoAMi2EngZCACdkgCVlIOt3ppLe7VJ3zfP+opW93OiHIk= gTP+8UNt+vWrTp1qm6dTz3Pc54HHA6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDgc= DofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwOBw= Oh8PhcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HA= 6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDgcD= ofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwOBwOh8PhcDgcDofD4XA4HA6Hw+FwOBwO= xx6EEhHZ3Y1wOPY2lFJqd7fB4XA4HH+f6N3dAIfD4XA4HA7HruPEm8PhcDgcDsdehBNvDofD4XA= 4HHsRTrw5HA6Hw+Fw7EU48eZwOBwOh8OxF+HEm8PhcDgcDsdehBNvbxuSvBwOh8PhcDjeOpx4e1= txqcAcDofD4XC8tTjx9rbhhJvD4XA4HI63nr1avIkIrkCEw+FwOByOvyf83d2A12NXxJmIsCdUK= 0rbqhRUNnt3tS1tj4igtd5ueSV7Qv85HA6Hw+F4ffZY8VYpPFL6C4xesbSnCQ9JBJzsduNmZT8q= pbbr1z2v7xwOh8PhcOyMPVa8kQiMnp4eyuUy7EBo1NXV4fu7/zAykSkRYk0801R5KCWAt1ti4MI= wpKurC/r1XSrkgiCgpqbGCTiHw+FwOPYidr/q2QlhGHLrrbfy2GOPYa1FRAjDkCiKEBHy+TyXXX= YZ++yzzztkSZI4+0eyjzgZSLpfQaIitn0dpc2vYqVMUD+C3JCxkKtH6QBBoZRCZWlE3h6rXNoX6= 9at46qrrqKrq4uOjg7CMEQphbUWpRRHHnkk//zP/0wQBG9ibxZBJ1lR4uOyCkChUShJekilq6hE= 0JL1nhKFQmEBlKDdZA+Hw+FwOHbIHi3elFKMHj2aadOmISKUy2Vmz57N008/jYhQU1PDrFmz+qz= /Nreoz18iksgPAdtD6dVn2fCXO+hcu4LIlsk3j6H5sFNpPuiD+LWDAQ+lVbwZUW+7MW7IkCGcc8= 45rFixgj/84Q/MmTOHQqGQWd601lhr39Q+BE2qxeKeUCibHqIAyfZFxZ8hYAWUkMk0MZngU6LdR= F2Hw+FwOHbCHi3efN/nwx/+MCeccAIAURSxefNmnnrqqWym6UDuwLeVys2LoJUg1iDtr7H+kdvp= XPIEpa5OtBZM5xZWdGoe/etGTvnsWdTVDyZTOokl6u1sbV1dHdOmTeM973kP06dPp6WlhUcffXS= 7OLg3g5LtUxGr1BqZ/ivxe60sVmmsEjyx8ZqiEh1rUZK4l514czgcDodjh+zRqULSuKxcLkcul8= P3/e3i2yrdpW+HcEtFYvzq3z4BERSGwsZV9KxfjunpojHnMbQmRw5DWOzg4Qcf4Ibf/jZu6zuY2= STtD8/zGD9+PO973/u2c5G+FX0mqtdrqkTARGAjsAorCqsUVmlAoy1oAYtGYUASC5wFjGCVS//i= cDgcDsfO2GPFWyrGUvde+uqP1vptt7btWMD17jcsdVPo7sRiCGoCvJwmDDxCP4cX5Lnp5psJw/B= tbWfWqoq+S1++7zNhwgSqqqoGXP9vJfX+ptY2wpAVsx/k1fsforRxE1IoYKzFiCCWJG5Qg2iMUd= iwjNmwkTWz7+fVR+ZCqfwmjtzhcDgcjnc/e7TbdE/BWkupVKKqqgqldIVoS+O4NNWDR1LTOJxyx= yY6CwaLplRVTUGq2diygS1b2imWyuSrqt7xmqepOBs0aBBBELzlYjcVbhagVGbV7P+l9fmFjD30= YCafdAKDD51OMGQIBHlEwCpBRxHRlnbaFy5h2d13s+m5+dRPncbog98L+cGwB+XvczgcDodjT8K= Jt9dBRHjttde4++67+eIXv5hZrrKy80oheOSG78PQ6cexpbuFro5tFGwVPf5QlrUUeWnFKiYfMJ= WqfFUiSNItvDPCJBVBqcv5rRVF8YQESWLbws5ueta8Su2WVtoffoj5C5+n6dBD2O/Tn2Dw1APw6= xpQhSJbVyxl+d33sGnufGTzZnKmQOHlV+lcs56mwU2ZTdiSuGJJw+Eq2i3xfFUn8BwOh8Px94QT= bzug0lX6pz/9ifvvv59zzjkn+1xVvlMKUzWYIe/7DH59E5sfuY+X17bw1+VbeeiFl/CrG/jGN75= JEPi9Qfx9ZcjbRips3tY4MtEIFiVQaGkjbG2lzhqwlmhTK1vn/IUnn3+B5mMP58APfpDWZa+w7M= /3IBs2EhTLaGuIPI+wbQsb5s+n8aD9kFweAYyyaARPNBbQ2F5fbaJ/RbLsLQ6Hw+FwvOtx4m0ni= AjFYpEbbriBpqam7QRQZcUCBTBoGIOPOI3xtfvy+K2/Y+OWNRx9/BQ+9ZnTOe64495Ra9s7gVQc= kUJQYul4ZSVeqYBnNUaBVqDKJfRrG2n50320PvgXVDHEK5RA2cyB7FmF7SnR8txCJp92Cv6wYWi= r0amVUvXuiSRDnFWqd9/von51OBwOh2NnOPE2AJUi7dFHH+WFF17gAx/4wIDuubSOqcJi0UhQz+= jpR/N/DjqSMCwTeB6e56G0t0fKi4FSruwqFUlaYhVnDJtfXobYEhZFOYDI04jOYYMAqqqQfJ4oV= 0ZXl5FiCT805ENLYCKUNmxZuYytq16meUgDkIfY7oaSxJOqEsObgJdIR9kTO9bhcDgcjreJd7V4= qxQl/d9TYTkbyLUoIrS1tfGjH/2oT3muHYkcpTS6whLl+R6Bl8THqbiCgHqDMzt3VVT1r1ta+Z4= 3uM+Btr2jbUhmN4vztdmeIltXrAaBUsNg9MghjJx2ICPfO5XBkybiN9Tj5fLYsEzUU6B7w0ZaFi= 9j/XMLCFetQbq2IZtbWfP7uyi3tDFo1Hj85ka82iq8qgCdC8DzUFqjlA/ai/f+7jJoOhwOh8OxU= 97V4o0BBNlAn1WKn7R8VHd3NzfeeCNPPPHELm2buBgUCoktQ6rXxderewZWGP3F10D7eD0BtivH= 2R9jzHbf21mMXP+2VBb6EoRCZxft27qpnT6NiR8+kTFHHU1+zDC86iqU8hANJLFxRmkGTT2QkSc= cy5T2dtpfWMyyOQ+x5dkFvPq/j/DqI0+gamrxGhuoGTGMxlEjqB85grrRo9BjRzJs6nvQXmUMoc= PhcDgcfx+8q8VbfzGyI2tUpXAyxtDR0cFdd93Fj3/8Y0qlUvb5wCIoWZ648pQY0HFQvRIdJ6e16= f76RtYPJJYGsqL1X5cdCLTKV5ofb2eir1QqYYwZsN8GEpTbxfwloskSp/8oRSGTPnYy+x0xnfzY= sXi5qvh4EyErSQksEJQorB+7lPPDhzPihCEMfu90Wp+axwu/u43uxUsJNrfA5k30rFhJQfts8H1= MTQ32kPdw2g8vg6AqjntTLubN4XA4HH8/vOvEW6XIEhE6Ozt5+eWXWbNmDVu3bgWgvr6eMWPGMG= nSJBobG/E8DxHBGMMrr7zCr3/9a2655RY2btzYRzRFUTRAot10fxbPRtgwxHpp9jcNQQ5ULpYsF= e691AWbbr9cLtPe3s6GDRvo6elBKcWIESMYOXJkkl9uYEFHIjg3bNjA4sWLWb16Ndu2baO2tpYp= U6Ywbdo0hg0btlNLWuV7ay0iklkfN2/ezJYtWyiXyzQ0NDB69Gjq6+vjPkPi+qVWoUxE3dBmDvz= YKXhVAWgfk1ZcSEqCaRWLydiNbLBGiBLXq2jwmhsZ9qHjOHrcWJ6/7rdsefRxqooFPAxiBIlKmL= DIiCGD8XK5bOqCctNNHQ6Hw/F3xLtOvFlrUUphjOHFF1/kO9/5DsuWLWP48OEcdNBBVFVVsXTpU= lasWEFzczOf+9znOOecc2hubuY3v/kNP/nJT1izZg2lUinbloiwcOFCPve5z+F53nb7VEpR4wmn= HjyBRhWidIRRGqvzvNLl0VLyiQBrDB3bOoiiiBEjRnDJJZdQV1fH6tWrueaaa3jggQdobW0lDEO= UUjQ0NHDcccfxrW99i/322w/f9/tYAUWE9vZ2fvWrX3H99dfT0tJCGIZZJQrf95k4cSLf/e53mT= FjxoACrlJEpp+3trZy2223cdttt7F+/XqstVRVVWGMYdiwYXzmM5/hzDPPZNiwYVhrufHGG3l07= txY+CXnIBXElVUevnjuFzn22GNRwLLlK/n5z3+eCWoRmzqdGdrUxLe+cC5LbUTH3MfIR4klEIXx= fcYePBWlAwSFYPfcMiEOh8PhcLwNvOvEm1KKMAy5++67+cY3vkEQBPzrv/4rp512Gg0NDQD09PR= w66238t3vfpdLLrmE+++/n1/96ld0dnby0Y9+FGstXV1d/O53v6OzsxOSIu8HHHAAuVyO7u7uzJ= 1aX1+PiSLWvrSIzS/NoybXjW9CjFb4TUPJV09BqQZaN7fyh9//niiMAJg0aRJf+9rXuPfee/n2t= 79NS0sL1dXV5PN5RISuri62bt3KDTfcwFNPPcXPfvYzjjvuuKw2qbWW9evXc8EFF3D33XcThiET= Jkzg9NNP54gjjqBcLvPnP/+ZBx98kK985St8//vfZ9CgQQP2WaXVbdGiRXz961/nhRdeYOTIkcy= cOZPTTz+d5uZm1q1bx7XXXssVV1zBLbfcwtVXX83BBx/MuHHj2H/KFDo7O7nvvvtYvHgxxhi01h= xxxBGceOKJVFdX0zykOZ7kIHF/HnLIIWzYsIFrr72W7u5uzjnnHIY2NzO4eTD5iSM57pL/w32bN= 1N+cRl5sVgE21BH85T9QSmUsohKaqO+Q9eXw+FwOBy7HdmLKJVK8q1vfUuUUgJITU2NLFiwoM86= URTJww8/LKNHj5aqqiq56qqrpKenR6IoEmutWGvFGCNbt26V888/X3zfF8/z5KSTTpLW1lYpl8t= SLpdl6dKlMmbMGAFEay0nnniitLe3Z5+XSiUplUoShqGUikXZvHqp/P5fTpHfnzlJbj9zstw+c4= I89a8fka6Xn5Cw1CMtLS3S1NQk8eRTJaNGjZILLrhAGhsbZcyYMXL++efLAw88IM8//7zMmTNHz= jvvPBk2bJgopURrLdOnT5fFixdLGIYSRZGsXbtWvvCFL0h1dbVoreXAAw+Up59+WorFohhjxBgj= XV1d8sgjj8jRRx8to0ePltNPP10aGhqyNsyYMUO6urrEGCPlclnmzp0r+++/vwRBIIcddpg8/PD= D0tPTk20viiJpa2uTH/3oRzJs2DAZP3683H777dLd3S1RFEm5XJY///nP0tzcLEopUUrJIYccIg= sXLpQwDLPtWGsliiLp7OyUq6++Wpqbm+XSSy+Vrq4uicJQoqgsoQ3FlIrSOvcJ+f37PyJ3TzpI7= trnPfKn086QqGWLWGPF2FCMRGJ3w7W4u3+3DofD4fg7ZjeMe38zuyLe2tra5JRTThHP8ySfz8t/= /ud/ytatW8UYk62TCpHbbrtNGhoaRCklQRDInXfemYmL5cuXy9ixY/uIt46ODrG2Vyr0isFIOl5= 7WW7/1ily25n7yO/+YR/54zkT5YX/e6oU1jwh1pSku7tbRo0alQmnIAiktrZW9t9/f7nzzjtl27= ZtUi6Xs7Z1dHTIlVdeKXV1ddn6l1xyiURRJNu2bZPLL79cGhsbRSkl+XxebrzxRimXy1mbUpEah= qE89dRTss8++0hVVZV4nredeIuiSFauXClHHXWUaK2lsbFRrr/+eikUCll/pK9UwJ199tkSBIGM= Hz9e7r33XimVSmKMkfb2dpk5c2afc/S9730v67tUwBWLRbnnnntk0qRJcs4550hbW1vv5zaSyEZ= iQith+zZ57vL/kt8feKj8Yd+p8tRF35OoqyjG2Fi4WePEm8PhcDj+rnjXhQutW7eOF154AWst5X= KZa6+9lmeeeWa7maZKKQYPHkxNTQ0iQhRFPPzww33WqWRnKTsUig3r1rF1azeIjyeWagU1XgB4S= JJFViudbSuKIoYOHcpPf/pTTj31VOrq6rJ4OqUUNTU1fPrTn2bfffdFRAjDkPvuu48oili7di3X= X38927ZtQ0Robm7m+OOP7/P99P9aa6ZNm8aXv/xlSCY39KdUKnH99dezcOHCbHvHHnts5qKtjFt= LY/HOPPNM8vk869at43vf+x6rV6+GxL08a9YsxowZg9aaQqHAb3/7W1566SWiKMomQyxdupQrrr= iC8ePH8+///u80NDQkEyCSFCRKsAp0TS37fORDVI0aBZ7PiH3GI77FpGWykpqq8naXAHM4HA6HY= w/hXSfeyuVylr9MRNi6dSuvvvoqDJAuxPO8PgH7a9euHXC9lIEEXTpLddGCBXR1dSCAFqjNBeQ8= UGLj5LxCWsoegOrqai688EKOP/74bCJC+tJao7Vm0KBBTJgwIVu+evVqCoUCTz/9NKtXr84mBNT= X11NXV7ddW9NXVVUVJ554ImPGjBmwz1avXs0f//hHSqUSAEOGDKG5uXnApMTpsoMPPpiamhqstS= xbtow//vGP2WSJAw44gIsuuoh8Pg+JoL7sssvo6upCRNiyZQtXXXUV27Zt49JLL2XUqFHxdlHoJ= HecFkFri/ia6rFjGXLwdASfFX95jNKKl/GMiWfvikGwyVTe7VOmOByOd55QRCIRsclLrBWxkYgJ= RWwkVqxEIhJmn+/mV2U7IisSGpHIxO9N74dWQonEbP91k35eFivl+Hizz228QrIdW9E3yRf3Qnq= PT0z8srYsVnpEbHyscV8VRSTM+unNH63JerSyJVZssl+T7M/0Oa873O8uXhu7suo7Ce+GCQv9c5= KNHTuWcePGsWnTJkSEIUOGcOihh/YRafSzpKXv08kJldtOGbg0lsrqn8579jkGlwrYWosnwqCaA= KVNYhzaXkTU19dz0kknkcvldlgZQWtNXV1dtqxQKNDT08OTTz6ZpSwREcrlcjYzdqBccGnakUmT= JvHyyy/36QNrLY8++ijr1q3L+nHw4MFUVVVt1weVNDc3Z1bL7u5u7r33Xv7hH/6B0aNH4/s+Z55= 5JrNnz2b27NlYa3nooYe45557OP3007njjjuYM2cOF154IQcffHA2OzZubCxxtVEoLGWtUPV1DD= 9kOhsfnEvncy/w6KX/xQe+dzFV+09C0vpkeoApC0rtkdVk3zfz30XwEHRWr1X3ZlRJZtF6yQK7S= 9sUpRAVxXVebRVgEWUQFEiAUmUUFmU9tIpAFIJGkv5GScWjhQbxkoeO+BqWftdw+qeStLpscizK= xKlb4k+Tttlkm/E6mghRFqttkuBZo0WjRCXbs3F7lMQpE/Hi85zsV2Gz9NBCkksRi6ioz/OoEvA= kbhmisMpD8LAq/W7aRovCVjxc6WRdncxmNhX7jM+PVXEex/i7JMm5DYJBCBByKMp4IvFtVjSiIo= Qg6bsI8Craa5JONVlJOMRDY5JlDPCsbfveW96iOnFP3nLhm96Qqvjdqcqlag/8QVbQm2A9uXMo1= a+9A3leKhcnk6eSa0xlV43ewXHvwZ2xq1Skv+p7japsKllFj76dTYDkXtN/P++CXt6OvV680S+B= bXNzM9dddx2/+MUvMMbw+c9/ngMPPBCS2ZSVFIvFrPQV/cTOzkph9aetrY1ly1/h6EEWlEYrYVC= 1hzYhYsLEHWipHP601vi+v33VggEsXZXvRYQNGzb0WSfNzdafSjGYz+dpbGzcbp1CocAzzzxDd3= d3tmzlypVcdNFF2wneyvaICIVCIft7/fr1vPbaa4wePRqAQYMGcdFFF7Fo0aIsd93ll19OfX09l= 19+Occccwyf+cxnyOVyfY5dYrmBaI0SiycWCTwGTRiHaqjF39ZOuGARD3/nXzn+375DzZR9wcvv= VSWyRGKLJIkbPRY7kgkkQZKb0K6TCh+FJMV2bSK8NFAGFaKSdCsWnRTl1UneaBv/P9k7mUtaI8r= rzaWXCLG4r9O/JRnxDKLi9URplO0nNJQBFWWl1GJRGYtH3Ud0VKhYLDapypGKw9itLts9DwkaJU= HSJrLvGw1W0oOzWGUzazjoRIDF73Vy7LHYtMmVmIjKflJEo5M2aLQk1yy5RMAlwlxpIBWzBoiyo= Sy+0g0KkwxqifVYmex44u8n+01FbX8Blx7sAA+Iu5OBXToVVWf6Cbzd/dtNH5NUWhFH7cgp1f9K= qPxDofAqtibJMt37XKDSRx0bL9/dB/6Wkoo3lfyn0rv5wNfu30T/baQJ2lW/B91dlItvoPv3tDO= 114u3gSoSHHjggfz85z/PYssKhQKbN2+mo6ODQqFAuVxGKcVLL71EsVjMtvVGBFsla9asYd36Db= B/gLKWXE6oygUggliTbbs/b3R/qZVx+0TBr78ta22fY03p6OhgzZo1ffpv69atzJkzBxHB8zx8v= +9l4nkeQRAwceJEJkyYAImrtTJGTmvN1KlTOeuss7jqqqvo6elh2bJlfOUrX6GxsZELLriAIUOG= DOyaTWPYFMmNT6gaMgSvsQGzdh2+iSi/tIy5//6fHPXP59FwyHshn4/Lk+0VyXp9+nrRe60+klq= F0oIcu3zLSNfTveN4apVEZfGBNivblooDyRIpZ6Is2blkw1lKPytPhWCI102tSSRCrvLrqTAiXi= eNV+zzSCN93sUCxvYOANL7WWZolfjBKLXqkQhZyXSNrRBzglUKL9l62j4lcXtiYaqSttukeToTs= pXH22t5TJfEQjAWszo5b/2+AyAWhZdUX0mXS2ItsCjxEktoRe3g/uI221p2kexx7MA+1Qe9a8Pr= O4ZKelwqH5grPk8ttSo7Z6rv5budmpN+v5n0I9P7/T3m6P82VOXlmIm37NNEoNq3ULxVIn1/D9k= 9IdmPsom4e9dFh8HeLt601plgSEkHb2stmzdvZt68eTz88MMsWrQoqxQAEAQBXV1dFAqFN9WGKI= pYvGQJbW1tCMNQYqnL+/haiLIb9s6findVcPyt4pIKF2l/C12aT65SvJ177rnMnDkzE2FBEPSxu= KVWw0p836epqalPW+vq6pg5cyZz585l3rx5WGtpbW1lypQpjBw5sq+7tE9j09E5Hjg1Cr+2mqAm= T0Q8mAWhIVy8jOd++ksOPu/LDD7iEFS+qv9B75GVF+LB2fYVAIrEGqUSAZBeO7vW/l6rXWo0qLy= RahA/cX8GfRyGsdaIB6SsfFmFphJl+hh1+hh4pDdhdTzwxW5JlbRZtO1tv3iZxanymFJxmj6j9x= 0PFYiP6rOXVAbaCneVoDC99+7EbZK6q7Ln8cSaKYmNDaUSrdpr7VPpeUisJennaY9VCsFY6JG4o= EF00rpUcCYntjcPodc7pCfbtIl1LT4XusJ6Gnd2X3duKi96bT+isrO+Z8mAfq7z9Lz2OqbjdeJz= 2FfI7B4bYtrXYJIHEN3nU/r1cXpV9e11m6wVH5Lq81ur3JaQuvP3Tv0mFRbUdAnpkuyHWFEa8S0= 6zMqrai/tureMvVq8pcH4/ZdFUcT8+fP5r//6L+bNm0exWGTMmDEccMABjB8/nubmZhoaGli4cC= G/+c1viKLob25DT08Pzy9YQLFQABE0hsbaWnwlhFm8w86P4Y2STix4KwjDsI/rWCnFuHHjOOigg= 7JlA9VVHajd/euzKqWYPHky5557Li+99BLbtm3DWstf//pX7rzzTr7whS9kpb+y/fd/Xk0EmNIK= 5XlgwRdNpCxBGLFt6QoWzr6f46YeiK4Qb1kb3rKeeuuwOkRnVp/0Jt83VktlbrtdOQJJZufaJFY= ttgL1HfiTihSiUCrKhpnewT/beyIofMDG8XEVVj0k6VPp5/IRD6W87DhERbFATePnJLnViEGpMB= nUeuPgktkn/Y5Lo6zfK9kSwROLH41VkrgsU8Fks+OWLP5GxW5ZJSibuiv9xAJpEzdlHBsoqve4t= MSRZ5ngy2ID6TeEkLimSeLWkhg1ifp+Jiqz8KEiRIcYpTFKx4X0bPyQokSyGMRUpiY9ikVn8qGv= Pa+/y2hPIG2PzgZvU+GaBEErC2KStVVitVW7J+W2JJbj5LqRint3Kj22Fwt9l0jFv+k3023RJ3R= OV9zpbMU53EtROxNSlcf2NsmtSk9Dn+33t+y/u9jrxVt/6025XObBBx/kwgsvZMWKFTQ0NPD1r3= +ds88+myFDhpDP57OC7bfeeis33XTTmxJD7e3tLFy0KJ4wAHhKqK/OJTd+neaweMtmPqbVFwZav= iNRlTJQDJvv+9tZ0fqjtd5pqpQdtXNH+966dSvXXHMNBx98MEcccUTfeL9MzKSxYMmt3grWKBQ+= IrHbONKa2n0ncfDHTsWvqu5zb3gzVsq3n8Skk423iavRWjxPo0yEp+J4NaO8gW8/qdVOx32qiWJ= XXDrMKwVi8LUgNo610irASBKAL5IJFZs8IBsbx6vpxJKkEmGRdWyFxUxrARPiaRBrUEphrYeoHJ= EI2tcYidAaTGgJlEAU4fsGKMfVMvCxBHEMnIAVi5/WzBVBK8GnBNagFGjtUTYGvABDGuOXCvxUK= EkSE6dRSuJ4N4Gc1miJ0DbC4GE8PxFtFqtiq6FF4ek4Bs/D4lmbTESgd7pCKjJFkvPmY9CxmCTE= I96PmAjf97FWekUsivQMlSPQfmypjEWsxZPYoS4SyxzRJGI77p/e37f0eTixImit+txnBvqtv6N= kcYa9wscmAs5HUBKBlIEkBESlIj+x5r7hyRdvZqBWicvforSHVn5q1+0nzXqX9dEL6W+xwnqXPp= BJhajL7m+ZPI0Skb4Xx769XrNFgdIVNvNd+dIONrXdrrOOT6IqYvHWe9tPrf7bW4F3tM1OpuNEA= AAgAElEQVT+bNfSnX2h38pv7mhfn71avPXHWstjjz3G17/+ddatW0c+n+c73/kOX/rSl/pYeNKb= 2uuJltdDRGhpaeHllSsT878iF2iqA42XzRAbyKLw5vb5Rly96bEaY7I8a5Xbqqqqorq6ervvVH5= 3oOXp93c0OKSfvfjii1x11VUccMABeJ7H448/joiwfPlyfvKTn3D11VczdOjQbF8q+5knkU4SB8= lHhSK2sxtURBhASXtUH/Qe3nfhP1M/7T0QBHvP7U/8JGi+91ndWkMQeEhUYJ8Jo6ivUmitED3AN= ar63pAiY2hp28b6TdvIBTkisXhaY6OQKt8yckQ9zQ31GDEEQYCYKLGIJZaBZEwpRobunhItbdso= lQ2FUojyA6xVeJ6fWMvSOJIyDfU5Rg1rorbGR9Bs6yiyem07WuUpRiWCvE9Yjsh5VQTKMGxIHSO= G1SJSxiqPDZs62NTWjfbzGBOLRWstaGIxEhWZMKaRpkHVBEFAd0+Zlq1dbG7vQSRAlB9PwpDYFR= oheFJhM5HYYdnUWMeYkUNoqPLI6Qjl+0RGiKzBKp8ly1fR0RMCCh8YOriWAyaNwTNllBisimMFb= eqEFfA9n1Bgy9Yyi5evxuLjKUuAYcq+42iuzyUu19QaoFBWozEY0XQWFS8sXUloNVYseV+z77jh= DB6UozrnE0mIQWP9alpau1mz5tV4HomkLtLK+0riZq94YElDJHbbA0y/WZppL/gIvg1RpgBhN0g= RPIkfNoyfxWFmsZoDWmv6f5YKIDvA8l38rtKgPPCrUV6uwqWZWl93bh3LtComeeNnP1Ol4msyMu= BplZyruFdE7J4Y2bFLVApbSR5q+nhosr/je7uVCE97b0qspmND30dam1wuujfENzGaaA0iBqW2r= 0neZ7sVvxUrFk8lwru/12kAB/ruYq8Qb7vy9JgKqR//+MesX78eEWHMmDGcddZZVFdXD5hC4408= lQ60bhRFPP3U03Rs66DRB6ylqSaHl8wsTZ/Tosiybeu2N3260wspzZ+2s7b1/8xau52FMY1LGzF= iRJ/l/SdxDNSG9H06gWLjxo00NTX1qZ/62muvccUVV+D7Pr/4xS+IoohPfepTrFu3jjAMmT17Nr= feeiv/9E//lM06TWcvxg/t8VNUaAxhWxvS1YGHUPZ8Bh12OO+76F+o3X8f8HvjrCrv17t18NoJS= oLETZO8lEJ7FmNKTBw7lIv+ZSajmqvwJXYL9o+YUZkgiM+tsYolqzbzf6+8jc3thXjAMZa8jjho= 37H8y3ln0FhXjU4sUb6usKIlIWhWYqtIKRQWLPwrD/3laRYtXkPB5OMhV2KREY/JITnfMvOMU/n= Q+99D3ou/21UIufLqO5n3/EqCXJ5SGN+srS0zelQzl1xwNsMGVxF4UDawakMX3/m3a+gqmmTw1I= iJYjukCBPGjeTb//JZRg2txxpQnvDkgle46pe3sa0nQpRGsskBHlpUktLDoMTGNhAldHVto6F+N= Gd88ngmjW5AV4T1LXu5jX/7z5V4RiVpZyJGNFXz/3/5o9TnNclYi1W9EkFJ3F8hcM2v72L5yi7K= 5GNLoClz5PQJfO4Tx5JlSElu+loUGqEYwf/cPJfFfy1j8AkCD890c+A+jXzx7FMJlEJpKAu88HI= bN/3+sWSmfGIpTdICSXL+dGJtsMbucNb6O02vK7nX+e8lFjcV9vDy4w/RuXwhtRQIpQieh4p8tN= JYHfULrtwZA4m1N/ZdQVHWVejB45j20c8mLnjdG6GoJBuuKwP0Uye+SiYGiY1QXq9wqMj9E8+JV= H2FhbUW7e2lVjebxG2KyXJ0kpztLI5VKYyJHyRTi5i1Zsexzq+D6vP/dFZbfFLifcW3kVJkCTyN= UhCFFs/fkZDfHiE+L56n++QOHfD3tJtjqvcK8fZ65v9URCxZsiSrrgAwZcqUrBh9/20ZY+js7Ow= T71W5vYGC+/u7JkulEg8+9CDWxgOFVtBcn0cnMUgilig0PPvU08x99Im/Wa33n017wAEH8OKLL2= bLisUixWJxO9dmZXuttQNWVxg0aBBTp07l/vvvp1QqZalIrLWZe7lymwOlLlm1ahWzZs3ioosu4= phjjoEkBcl1113HSy+9xH/8x3+w//77o5Ti4osv5oILLqCzs5NCocAVV1zBYYcdxlFHHRW7Z5PZ= QV5qtRBBG0vnqtVEW7uIaqppev/RHP2Nb5DfZwLWSwKLkyf9ymPf3QPYjuh1vqjE9RYPAzlfM3p= EM6OHVFGFxdO9EU/9v135XnswfmwzQxrr2NzeFfegVihrOejAfRnaUEWAJPFrFiQ/YBiKMVCVg+= MOP4gjpx3AZT+8gWeXbgKtCUVAe1gxifiJOPrw/akLwIunkRBUeew3aSSLXlxFj+nNO6iVZcq+4= xjSmKfaL+OLJvB9xgyvYeyoYfx15QZQGqtBq9TtYThg/0mMHVZLoCIsQmR9xo2op6baZ1sx7LWz= pMegExWaWqeUAq0IreGZ+QvoaNvA9y74Ko3VQs6DUDzCQoiNIqz4iPIJPEtHeys5JVRpk6R+qMj= IkXSblfi6W7F0FZ5XR1TSBF5A3q+ie0sBylCdzKWSisEfFKIty5cuIfBzlMoaE0Lga3q6OtFWyO= ViN2n7th5uuvFulqzajLWCtRHGWPL5fHyPk957lFjw/GD3W9wSet2Oyf8ljXErg+2hsGoxsvgpp= LQFE3UQ5HPokh8fVy7OAfjOoSj69XQPmwonfxIlZXTOj0/yDj0nktyrKiyhisQlmjwIYJM523EM= qkcc4icarBI8nTx07qH3qddFBKUkiVtUoH2MpJGLqce0925nrMUbyJPwBkjDBKw18b1Ckrun9tB= JeIHSSShIRCzCsFgboXVu54eTSE9PeyBgIoPnefG+Ui/dHhRH/a6YQ5uKkzVr1rBt2zZIBu+B3K= KpoOnq6uLZZ5/tI2hkgJiRSirzxIkIpVKJJUuWZKZUrYVBVdXEabMUVoSF859l1v+ZRXdPz8CJZ= P+GY/3Upz5FTU1Ntqy7u5uWlpad9k17ezubNm3q81k6a/SEE05gyJAh2XEtX748E7WvZ50sl8vc= cccdhGHIuHHjsvQss2fP5rbbbuPLX/4yxx13HEEQ4Ps+Z5xxBqeeemqWnHjjxo1ceOGFbNiwId6= XpLEjgkncFdLVzaaFL1AqFmg+6nCOueAbVE8eC77GE41Scd6y/sJyT0URoQiTCKDeBKxiLR6WQI= FvDSqJVdvRq88sZgUhJcQTIs9Sshbr5VBBHiNxzCBGITaONsu+qSSxAhqUivCVJaeFmrzHV774a= UYOr0ekiFJRkv8MRCy+9sjp+OnPiyJ8MWggp8BaydK2SBzMho8iryAnBk+KeNaQVyBRmcD3EZ0c= lQJjDZ7SBJ6HtgrPKnLKI+8lT/XSewO1SuJZrSqKB12iOLGtsliE0AhGAkTlWblqPbff+UAcX2c= iNBBGIWUTYTxNiKIEWK0rhus0xi314ds4xg8wEeAF9JQFcjWESlOMDDrwyAXJoCJJ2hEkiVuDSC= Co8SjZMvg++DlCI0RWkhiqeMXly9by6poN2Rn3PI9cLpfds7RSeJ7G9z201tnyPeHaH1D2SJzrj= qiHfNRJTXEL1YWNNOtt1JU3UR+1MNi20Ri20VR+516N5Vbqww4GeSZuo5cki84ebNK0ORUHV3lk= YsGUY2uaxBMUlDVYE2WuQ6XBhr2ixgLG2Kx04l6FpJOq0iTGsYizJMnCTQRiCSPicAMTjyOe9t6= UkTE1qiRBCNlEJaU0xsb3jfQhzhCLuCxn6+uIxsx6KHHqJGti4aZEUDr2OtidSPndwV4n3vrHZ1= UKrvSpM/176dKldHR0bLcNay1Llizhscce22HcW1qyKt1HmtC3cvttbW20bt6cZLMRBlX55FQZj= 7h0U2dngeuu/TWTJk5i5llnvekn4vS7xxxzDEceeWRmfu7p6WH58uU7/F46+zYt/1XZD0opDjro= IA4//PAsafDy5ct7xdQASEX5qcWLF3PHHXfwiU98gmHDhmGtZf78+Xz/+9/n5JNP5swzz6Suri7= 7EQ0aNIhLLrmEqVOnZu2fP38+P/zhD+nq6sqe1C0Wz4IylsL6DWx6/kWwIY3jxpMfMQqUl+Xisu= lz8N5SEkuF8WOhMrHwIBm00XgqiN1tNhau2sbCQYxgbPIysfsz1kWCEaGjYNlW6CZKcpkRBBiVZ= OqHROD6KJUnBEoiFEQoIBSBsqgk1swiRAQ+jBxRx0EHjsTTIVpbTFRG6/ga1qhEWIHWAQqfAJW4= 7uKbXVpr1/M9rLEEmiznktaCGGJXrrVoNFib3JTjOaFaKzw0mHhWqpJ4MoGIxlid/J4sSgv5wNB= UYxhcKzTVQl3eUBUkbkTtE4qHIWD+80vZ3NqNVrm4L7UG30/6LZmYoPz4mspinpK4JxXPTlXaxq= nqNJRFIPAphkWsjrABhES9lVW0SVJ+xKa6NGY9khDjW4wHZWsQL54Bmw7socD61zqIbDyRRcSgx= JDXwphhjew7bhiTxgxm/PBBjGzOM7TBp6FaGFwXMKjGT6wQfeO03kmZ4FXUj1BUPnUIBArJCaF0= o3IhRvdQpAOpKmO8MgqDZ+Ude/lW0DYkLHYCIaJVXIVDq8RSHWWWtgFHbpWYYZWOy/uJxUrsQgW= FFUU5jP1cKjbqYEycQ3OHuYD3eFKXYTwx6PkFz/Cr637NipWrEU9ike7Fgk7rxIjwJmVPPGkpna= joxULblFm2fBm/uv43/PhHP+ZnP/0pL61cG4s3lWoCFU8c2tnR2N4ylkrFHqeOti3cctPN3Dd7N= pG1FRG/FSJuN2rvPdZt2n8QToXGjsSW1pqJEyfS2NiYVQtYs2YNf/rTnzjjjDOyXGVpUfTvf//7= TJ48mYaGBp5//nno526sqqpi0KBB2bItW7bQ0dHB4MGDs7atX7+eMAyz8xfk8oi2RALdoWJjWwe= HHXkUH/vadxg2asx2x5W6bwdyRe6oT5RSDB06lK997WssXbqU1157DRHh9ttv55RTTqGmpqZP0L= JSihUrVnDVVVdlFREqt2+tpbGxkW9+85vMmzeP9evXs2HDBu69916++tWvxgHuO2jPpk2b+Pa3v= 83w4cP5+Mc/ju/7rF27losvvphRo0Yxa9asPjVS0/ZPmjSJ888/n1mzZtHa2koURdx8880ceeSR= fPazn8PzdJxM1Qi20MOaB/9Cac168qGldeVqJDSQVxht4xqocc/1OYd7NMnTuSSDupbkJqPjvOu= eAvwgsdYoOnrKPPrUEoqRh/I1VbkkFktBJIZyBPfMeZpNrSEiPr4ojLWxsJEIX/U+pVml2Lq1h/= vnvkhnMSKiiNIBo4c0cfTUCYxqrkUrDzDkNRw+dT/+8thLhCbA9xRKkjJbyXiFBouHSsSPeIpIG= TQ+EhqU0pSsQfwoiRPKgQ4wolA6cVRI7Far9gOK5RLK95I4PANa4vUSl4in4hmB4KGtxVOCryxn= f+pkPnTEfngqdnOUTMhjz/2VG3//BEUbx8uVjNBd1rRv62bciPo4pjD5DfhK8CRCJ6otnhTYm9I= hzWOXWgcRwUOhPB9lhVovNsBYpVEqKS2W5NGPB4XemCdPICCPsQp0OXH/aJQNYkumioi0T3uhHK= cb0hZtDT6WgyZP4MJvnE1DTRL+YSE0lkI5wpQijPJ5+KnF3HjHI1j8xMIbm5C0CFbppLTX2+uW7= Ju8Nbn2iCcFpH3uBT6e0XSbMn5VQGywsQR658HlbwceiuoqP07jYiOsL7F2e70cnem/ygMbgWfp= 7u7hgTlzuOPOO2hpaaG2tokPHPchPvvZMxg5qhlPge/FF0Mk4O8Ft6ztyMZKi9gyr65awWOPP86= 4ydOYPH4YL69cynf/45ecOOMTnH36yeRygsKjFEXkff9v1DxpFRIvcXFaFi2Yx1W/vJHFL6+lIa= 8pRxEvrNrIT678D6xV+Dpuq+d5OzWZpYaE3lncikJPD3956CHGTJrIB2eciPKENAGTTizfu5M9V= rylVMZt9Rc69LO2TZ06lSOPPJK77747s5bNmjWLhQsXZpahhx9+mJ/85CcMGjSIG264gSuvvJIX= X3yRMAwplUqUy+VM6DU2Nmaio6WlhUWLFjFu3LhMBK5cuTKewZlcSlu6C7SXB+NHlnWvtaIaRzP= z3LNpmjieUigVs296j22gCQH9jz1dll5gQRDwkY98hM9//vNceeWVFAoF7rnnHi699FIuvvhi6u= vrsza++OKLfOlLX2LlypVMnz6dFStWxBauihJgWmuOOOIILr30Us477zy6u7u59tprOfTQQzOLX= KX4MsbQ2trKueeey5IlS7jjjjsYMWIEnZ2dfPvb32bVqlX87//+LyNGjNhOuIkIuVyOk08+mfvu= u4877rgDYwzt7e384Ac/4JCDD2H/KfvHublMRGHFCpb98W5yxSIKoePVV5GuDqSuOpnQIHtp3Eg= aLE2fWaeVwVUSl5igq1Di1jvuZUuXJRSJZ04ZlViALJHVRDaeVKC0hzEhWiczMfvdsSyKzu4e5j= z8NOvburFeSBQJg3yNOvNkTjvxsKR4goenhCFN9XhJqRudpg2RdGbfAMdTGcidTB+gYpYWKIyJU= DqI42WUYJOg/siE+IFHOSoTeCqp6ykV3032YuMbsk6qQwS+R2N9jhFDq/ESU0aIcEzwXm774zMU= y5rICp6qpr3L0Nld7LM9khYqiYV05WnI/sjUiE7K3VV8VlmuS6VrZVvN/s1yFkpSBUJVfJbm4Ou= NoKIcRhh8Igs5AW0NE8aMpL4Ocp5CxUlKEOvRWJVH6yrKItRWkaShyCR7b/LkxLLXmy74nUJlNX= Mhj5Y8pqDAKGqrBiFWY7ogH1RhbbnPOX8niCd09cRW0kRNRSYWcEoLvVd132smm5GCAhWyZcNyf= nvzXdx8z2PsN2k8nzj1cF5d9TL33nMHDz+9iMsu/QHTx9ehA4vRtdlEmL3t7oU1WLEQeCgsxZ4O= Oju70VqhPUXgQRRBkKshl1OAwVgh8PO7sPGdIUl4gAeFHp76y0N0d3dz1VU/4+ADJ+F5PltsbMX= 2vPhhwBi7Q6NP/35XWlcIdk2pWIoFakW9me2Mpbvp5O3R4k1EeOGFF/jzn/9MqVTCWsu8efOoqa= nJAup/9rOf0dTUlFnLZs6cycaNG1mwYAFhGNLW1sbVV1/Ntddem7lxJk2axDXXXMOUKVN4//vfz= +zZs2lra2P58uX86le/YuzYsTz55JNMnz6d1atXs3HjxkxcdHd3M2TIEB588EEef/xxGpuaaG/b= glJCOfJ5adVmBnnCkMGDqBpaz2urVrKyI0+kfFTFBIBisci9997LhAkTaGhoYL/99qOxsZHVq1e= zevVqrLX09PSwatWqrN3WWp577jmam5sREU477TTK5TI33XQTra2tXH311SxatIgZM2ZQXV3NM8= 88wz333IOIcN555zFt2jRmzZqVpRrZsmULjzzyCLlcDt/3+fjHP06pVOKyyy5j1apVfPWrX+Wb3= /wmxxxzDHV1dYgIbW1tPP7449x8880UCgWuueYagiDgoYceYu7cuTz4vw9y+mdPZ+3ataxYsYKR= I0cyderUzIInIqxdu5Ynn3qSYcOGUVNTQ09PDwCrV6/m29+5mDPOPIMhDU0cMWEyz/zoF+iNG2J= 3BB52Szudq9fQMGQYEngV5vt3HypNs6sUkWhKViiJn9TV1HgIJioBAWiFsslMxGTCggzkKhAoRR= DhEdocSudQWlGKCix7eQ2RHB53p43dlk1NTXHS2yQoWVRcrN1WVBtQb/D+5Xse1oLnJdY1FeeKM= zbCQ+FrFedkk+0n2FAZn0KSH06liZwrSnIJ1NfXksv5qDCehibEVqrym0jK/VbQNzFyRc+l8y0S= y5XnCRqNVgEWg9XQWQwpmNi97cfZ7sDGKSjitBMKkTCum6oskpX5SjpF1FsRertrbLef2MKYHrr= 2PDzRmEhhyhFVuTqU1VgVAGGSTJreckf9rjXJpG//pcm7iv3rZOSVPqI1fW/RWvB9L+sjpTXaIx= HAXu+QnXxFVRZdUnGUg5SKLHryCR5+6BHO/vw/8YWZn6M+KIKKeHreAi67/Dp+f9NN7H/xP1GjN= GLKlMsGnfMRY4kiC1qjgwDPi9NNpXnjxHqE5QhjDaIVXi6H1kk9XmuIyiZOQ6LjmGMrCu3n8HwP= T6ksKXh25BJhomLsvvWrMCb+/YkO8IOAQFXkokMQK5Qjk0RzJFV3/ADEoLHkcgFeLk+IxpqICRP= H8z//cyX4eSILvoZAG0wUUgotIh6e58cTQ5RCoggThuhcDuV5SY9bTCkitBby8fF6CJ5W2KjE1v= Y22rZsZeLk/cnX1hGmYQJhGWU9QmUJPIsNFWFk0YEmCkOsgPJ8vCA2SsQZHkMwhnKosFH8cGisI= DpPRA6LT0AckyxGCCOLsQatPbwgT6AVSIg1lnJZ0DmfKA72Ixfkkhm3O/hZ/I3sseIttdLk83lG= jx6dpa8YPXo0n/zkJ/usl1JVVcX06dP57//+b2666SYef/xxWlpaKBQKeJ7H4MGDOeaYY/jCF77= A1KlT8TyPj370o7S1tXHfffexbds2brrpJsaMGcNJJ53Exz/+cT7ykY/wy1/+kldffZViscg111= zDiBEjOOyww7juuut49NFHufG3N6AKnQweN5nBwxXDGmqpqfLoIccf75rDC1seIFKafSfvyz4TJ= 2Xtvuuuu/B9n0GDBnHhhRfS1NTE448/zpw5czDGICI0NzczY8aM7Du33HIL1lrK5TIzZsxg1qxZ= HHPMMdx0000sWrSI5557jvnz52c1SSdMmMBZZ53FP/7jP7JixQo+8IEPZJM6fN/nhhtuoFgsUlN= Tww9+8APOOeccJk+ezC233MKCBQu4/PLLqauro76+Hq01HR0d5HI5jj32WM4991wmTJzAb/7ntz= z71JOUyhEf/uAJ9PR0c8ttvwNrOfSQQ5my35S4jJlSWDG8tmE99z9wP1EYMeOkGYnIkKRNHvfdf= Te1nT10DR6NzF9ElU2zy4MqlGhbspzGQw7LpuBbJbsnK/vbTK9dTrASJ5T1PC/LW2GtxfM1Joor= K8Szubw4AYm1+DsKqPFUPEVV+Zgodtf6eHQXS1gVD0q+Fwca19XUxGJKSTw5wBInH1W9g6V6o0H= XSfyaRBBoyHlxwfjAj2sBK63xMfgSDXhW4+S78aQGreN8dSK9wkABgVIEWqip9mnr6iH7QKm+we= e7gUo7osqC39NaXL1SpK46hy+G0PpY7VFUOZ5ZvJz6O6v41IlHM7wxjxWN1iSJlmP1p4jQWrBGk= tJfifVTDdyKt4WKffXaMXpFltUW40eEiWAPtI+VMqLiBMpiIafDeIIIufh3YIXA84nCMB7IfY9C= OSSXryEK08OMsqoYNgkt8GyaBU5nZczjhsW1czUWUSaJyYofjHTmGfT6lD6vfNNr1Ra0F7KxdTO= PPbGQ/fZ/Lx/50HHkc0m8KsKRRx7CSYcfwP0PPMCaL53F2HFDWbVwLnfd/nuOnfFRVr28jmUvrs= CrG8oxH/4gRx95EA3VHj4FwnKZtStbuW/2Q6zf9CoFhJM+fQbTph9AQ1XAhldeZvZtdzF67EhqB= tcyb/48tmwrcNDRx/PBD53A2KYGciiMWPAkDvAvdbFg7v08++wiph52PIuXLWbFKytoHLUfH5ox= g4On7Eut7wMR5XIXK19axt33PsDmjgJeVSPHn3gyR7x3P5rrqpJzJERoyhL/vjauXMaVN/6F988= 4nRPety+eWLa1beDF+fOYM/cpwijP+Inv4agPH8f4SaNZMX8eD86+lw988lO8573vpcZXVJmIJ+= +5n4eemcfHvv5lJk6YQLXyqLZlXl36PH++4w88u2gxXV4Da378Mz526oeZ8cHj+OEV/820A6fw2= c98gM4trdxw3e+orRvEvlP35y+PPkprawf7HHgYHzr5w4wfM5S8NmjbRevaVdx1xyO8smojgxoa= OWDqeynYHKHKx5VQpEyxp53FC5cw99GnaGlvo3HEcE6c8Smm7jeRvO1h7eJl/Py3d3HoB97HK+u= WUiyW+MwnP8v++07OUh/q9CeZed4q70e6z29mZ3fWPVa8pW62fffdl8mTJ2fLdxTT1N+1eMkll9= DW1saWLVvo6enB8zyam5sZPnw4tbW12XaGDRvG+eefz8yZM7NYufr6epqamvB9n1NPPZWjjjqKt= rY2rI2n6dfX11NfX08+n2efffbhlJNPodjdzfB6RV0QonUQh9yL8P99rI6S5LPBrjKuLkVrncXX= ffKTn+Tkk0/e7nj7B+NHUURNTQ319fV87GMf4/3vfz+rVq1izZo1dHR0EAQBw4cPZ8KECYwdO5a= qqiqmTp3KT3/60+1cs1EUoZSiubmZIAg4/vjjOfTQQ9m4cSMbNmygpaWFrq4utNYMHz6ciRMnMn= bsWGpraxER/vHss/jIoYdRatvKyAP3Q+pr4qdVZckF+TgvnVIYFT+1HXLIofz0x1cmYi7Nrykoa= yCKKKxcxXPX/Q/FefOpNiUi5aNF4QtoK6x+cQmTTTm7fN99si1GKTBRRE4rhjfX4nlFQhE8JXgE= yWzKEINPRyEpiK412Fj478j15CmLKRfxiGILHUkwfJBDJAn1imffY0Sy+BIlaR4xFcft/U0dL2B= DlPbIBZrPnHY8rR3xzE+PKEnmCb4W9hkzNBk2dyw0eou7k8yYtVlNRWXip3A/Se2hROEr3bdW62= 6y2qaGMLJctonrPK2mJdDcVIdW5aRQi0Ipny1bQ+6+dwFz7nuW9x9xEJ/82OGMGtFEzvcIlE4OP= aiwuqrsISeeGGN3PYXaW3GcO1ggSrA6rm7h2UzSxRknEgEQ2QitAkQ8lNL/j703j5OjuO/+31XV= 3TOz9yWtjpVWq9UtdCEOgbAIhw3GBmPA2NiO4wM/Tn42j3M8jn+xQ+LEzsobkigAACAASURBVGX= Hdn4mBkOCE3wKG+MjBgwYMCDEKQkhdIEOdGtXq13tMTsz3V1Vzx9VPbvicMKRBPJzvV56rXZ2pm= e6prvqe3wOpHTVHyUd0D9NY6wSJCJBCl/R1Xpcaz8L6l0C5DgI2tnIjROKNeNtlexYnO++H+Gbz= PY4kIN79pgtmrUVhoeL7No3xPyT5tM5dRJWp6QCkAEKw8kLZ/LQXXeycdNWJkyfwGh/D/f/8hes= 3byH9knTmNrYyq5nNrHx6Q0MvP8K3nHhW6gLDI89+Cu+9vXVBPkWlpwwi/69O/nbv/xzrvid93P= Fu97J8PAQ6x59hAceKFM/qYW2iU0US0PceONNHBuN+NClb6Y5nyMIJEmaQABGl+k9tIvbbvs59z= y2kykdk8hHAesevZ8n1j3BH/7vP+T0k5cSmZj7b/85f/O1G+iYOYeZM2eyb/8Brv3y37D17HP4y= AffT3Otcg44BqQSCKEpDvXz+BNPMHnOibxtVTfFoWPccP1NPPDQQ8yeO4+GGsUD99zB2vXreP//= +hDt+ZDndm1D/+pBps+eQ74OjLZ8/0c/pygkkydNRo6Z75GkFWwao6whRTKqLUkaM1oaZfPmbZB= q3nPZGcRJiccffpSjgyUa1q5lwsR60rjCT39yK4f6y1z54UvobM/Ts/s5Pnf1X3CsFDFpaidq9B= i3rP4OB3pHmDGvG0gpjQxxxw9v4fY77qWuuZ36lgJPb9rA/Q8+yV/+6Z9yyqLJ9PXu5f6HHuXhL= duZMCli/ry5JNqSGIi8BmBWWXfdQ/GKG0ev2+AtG+O1xhhXkXsx0d3x/y8UCnR0dNDRMUYUeDH5= D4BcLsfkyZOPeyx7H6UU7e3tTJw48QV/y95nRleXQxNl1jlVGxRLM8IDrF98jMeCWWupq6s7Tuj= 2+c8dr+M0HmTZ2NjI4sWLWbp0afUzZs/JPms+n3+B08R4+ZPxjzc2NtLQ0MDs2bNfIKEipRx3XE= FNTYHWujp+9S/fQeyez8y3n0+ufTKEAUZmFGyqxAIVRjQ2ho6jm22+aYIeGqFnw0Y2fev7xE8/T= ZiU0YEklQFKSIwKMGGOvsFBTBIjCnmvw/U/NXyzKAVtTTX89Z990kHm1RhNX/tJ3bl/mL/+6nc4= 0DNSbRtK+RK1SOG03xtrJCPDZdcVkoJIWOZ3TycQ1sHshcHagMHBEVJtPJt3vLH7K51zAcotO9J= YVi6fR2Ih9BkpwomnVJmK1ZZfNiW2+sMKTxJQrrWskVgr3LViBaVyhWKxhBCOVCCBKJSEgRp3uE= ye4+WdhQuOxFgw+7zjGfvrlYGsNc9bi8YnZ4JQwpzuKbS3NXDgaNG1miRIFVHWhlgbfvnoU6xd9= ySLF8zixMWzOWPFEmprBdqGQOBaXBlz0vrq3OscYSWsAV0iDBUxebRVGBugkL4FHDqMpE0QSrkE= w8QEyknSSO+XK4x0jFt/vRphXWtMOAFgU103PEP0VQXxrvVaSlKGdZ6G5okECm+z5a2hbMzkiQ3= kggqDA0fJWZC6ggpC3nTepXz0Yx+iEcO+7eu4/pqv8Oj997B48SI66lJ+vHo1k2Z28fv/758yva= UBklH+/OrPctePvsc5Z59B6jF3M7rncuXvX8Ws2RM4NnCEz37hJh5ds453vfU0mutC0JJQhKS6D= DYhTcrkG1q48N0f4D2Xv50akfDwmtu57oZvcM/999I9ZyY1Q7380zduYO6y0/n8F79IUwClY4e5= 5Ts3cs9Dv+SRRYt585sWEliL8AEc1oC02DAkiEKELrN981P8fO1WLnnPx/nob7+Dgi2xbeMGvn7= jzTy57knef9Gb6J7dwcantzF0rMi0+hr6Du5jc+8w517wNlrzEWBQ3m5r9qJlTJ88kfSarzNQP5= tLP/w7zJ1YA+UiBkVQaHI+yiZFBTlaJk3g43/8h5y4tIN05DD/eO2PeXj9JvoOrWD6hCn8/Cf3c= OBgwh/+7V9y2opl5JNBtq57mj/+86+ibAp2lK1bNnP//Y+y4vRzefcH3kdLa47tO7by6T+7hn/7= 2W0sn38FQQSJClh52io+9cnfpq2lEStU1VVPikxD3YkXi1eRSb3ug7cXC7j+vd/HP/584dqXet6= ve/2L/f0FjwmBsdKzB70fomed/Uc+1/NZoC8muGuMYfXq1fT09HDxxRfT1dVFuVzm3/7t3+jr62= N4eJi3v/3tLFiw4AXHfrH3ttYeF9xlIwsK/9058wGZEYK6Ca00CNh643fY8/DjzLvoAqauOI2ot= clZVwmJlaCF20SkBWE1Ik0xxSKDW7ay/d/u5MCaRzEDg9ROn0Jt51RqGlvItTSTa2mk0NJM0NCI= bG+D2ryPkf0u/vrdj17VcGV2TWPO238JgxNOCrDSooWge2oTLU21HOorIYVEZ+KtLzIn0sKktmY= ++f98gDiVaF1BKEVDTZ7JLXkCK7C+RWtswJGBEWQYucqoxPmn2ldgPTluWCRWW6Q1hEiEgVBYpN= DVNpX1mrtZgjD2Wt8uVs7kXesElc8zXLIMJSC1QKeWShJz16+eoGIjUitAQVqpkG+IqKnJjx3Pb= 3z25YajIpNjy6ReZNV/lIxUIf8jeEyPnfLSFMIHhkJA59Q2Ln/nW/inb91CoBTlVFCJK8gwcixT= EXKsnPLopoM8/uRe7r3/Cd516YUkpgA2IgrzxGnxeddB1p59fWpUKEAJ5ZinMgAZEEjlS6cBiQg= xQE5KhClisA5/pQ1JWq6KqTqSgavsZaQCiUFYpwHoJFlCT+p5GYYOLzUsJIlB65QwF46rCMuxzE= BatImxSerP01DIF5g1dzEycPf5zK5JnHzSCdx673YO9w4wuHsffYcOcsL8k9m7ZwdH9ofkRMq87= m42btnMrl3P0ZSrI8zVMnP2PDo6Z4AoUldfQ31dLb19w2AMUhoPX7MEkUILiKKQmsYmOubMcjwS= DcuXLmLBrGls3PEsg8UiTz+6kdGRlP995UchkqRpSn1DgRWnL+PuBx9nw+btrFqxwBGHZOaLbLF= SUEk1RidAhcfWPICI6ll19nkoCcIIurpn8PYL3sJgyRDlBScsWcgDT93H3h09zJvUwf0P3Meg1q= w852yUFd5wzP+TygsAa5Ik9jJDxgX1xrjkyrPFAxUyubOTWfPnYBghn5c01eUJTYzSoyTFETZsf= o5JnYtZsmSBa2LKlJYpLUxsqKcgDCYtsmvPTo70D5Ev1LJ/3wH2HRhFkzCpdSLPbt2CTYuUTAmV= y7Fi5ZtobWl2YEiZSZD4VimvDe70dRu8vdJ2xn80sHu5x/t3j5OpTfuWkhDe064qZvjrP+f4IPG= lpDl27NjB5z73Oa666qqqpVUYhpx77rk88sgjfOITn2DevHnV4O2lPvfz3+eVz7XXLJISVVfLhJ= mdDD3wEOVHHuexp54imt5BxyknMv3Uk6mfPo2woREZRIjUEJfKVI4eZf+GjRx46BFGtm5GDg+ij= MW0TeD0T/0BjctPdCKmocAKVS1lCJHtPWNYnv+RsVu25ku3+ZjjZFEy4VdTbS0K8bxr5yU0qWpy= AXO7WlyLNEOAWUGY4bG9IX0lNjy9dSejFQ0ywqTaQeW8K4QzdLdVFuN//LQ0QjkeamoEYSB91dp= 4AkLgwftjCvYZKlLacRVjK4hyOYqlMt9efRs3//DnSBMTSkWcJpSMYDStxUoJJiaKBHW1AS3N9d= VZJOOzvnis+5JDCoc1C8OoeiRRvZdcoPuSgZvI2r1yzK/Uf3fWf9/GujbLuWfMp2PKR7j93sdYv= 3kfA4MJaQWsCcFYrAgZjlNUKNiyu4evfv1f6ejsxqJIKmWEcnOW1df/azmcr2BYXLtbhSS4ioWz= czNE9U3UTZ7J6GiFSu8u8mmMNDEiMVitUKoOLTwvUGRBmrM0UJaqAKu0GYfZBXbSP/7KhwARkA8= VNUFKpTTk2mQSAkNVJ3CwXKFsJU219SgLWqdYIZyumL/KZS6gtqUFKwOK5ZThnj6S0SLr1v6K9V= ufIZABolJBVUoIAiqVFHKKlACpIvD3pFQKiUYxJvSN1J5Z4SrUSWowQqCFgyoYK4jyNTQ3NFOuH= GS0krJvfw9C5Jgw1XWmwsBl4IWGeppaJ3BsOKaiXcKF1gTS4Y+tlAgpCMIAa2L6eg9RX5OjpbEG= hQEhKTS28tYL3uqxh8dYsmwpbT9dx8ZHHuaspW/nwTVrmDazg7nzprp1SbskrKoF6uEAgbSoLJG= XAiUs0vj6vQyPrwYigAApBYFIECZmZGiQ/mJC56yZBFaSA7QSWOWOE5kUXSkxODTIYLHEnXfey0= OPPk4qR9Fo+g6VaaxRWFMmERobSKQKkVa4RKS6vojqIiZfSbn/eeN1G7y98UaVG1g1V3ZCCS/Pu= 25kZIQ0TWlsbDyuSlYqlfjud7/L1VdfzeWXX04ul6u2dZuammhoaICXGZC92sDWeuFFa6Hcf4y6= xmZkbR1q9AjhaAm7dQf7nt3Fnh/+HFVTA7V5CEKkMZhyBT0yiizFqDQlZw3SCCqhYOJJiygs7Mb= U13hJCO0sn+yY7lY2w1WZhv+R0ZvAGDBSMFoxqCDbbpxIbpqClYI9h4fpP1Z02WY1MB+zpnn+sE= Z7g2gnkus2O+dmoI3FyACtLQf7hlnz6GZi1HGZ49i1Xf2YL/OsFMY4rMdwbBFKk1YgUo4RmgpNk= kBtXlAXSG8vNf4ELFJJTGpJEk0YRlQ0VLRFJymBsFihMDLAyhwITaQUQVJmYfdU2lvHYAmvZg0V= HjYhhKuWZUVCrTNpkBefG+HfVx4/i6jQhebGOENtjCAUgvndU5g+9SKOHB3g3gee5JHHt3Hg0Ah= W5UisIZAGrRPKVmLKmqFndpIkIaG3m9PZB7EZW/j1e7sYAamSlII8um0aDdOnEw8NMHi4lwknnE= jLqeeQO9RD770/xPQNo9BIY5DWqyb7tQIURhisyq5V69qnvtomrcQQYIVEC+O9WF/ZrFgkQgTU1= eRob7D0HX6O4ZER2urqEBqsStE2ZceBPsrUMK1jGqEPPlABSDGmTpFqqJSdY4MwREoghWLG3CW0= dM1CWMibhJyFXG09M6Z1Ujw2TOpZoMJmqZxBCocjtsaxRYWjJfvzVM5SygpCqzwMwYJNEKKCVAJ= tBWEogJRKWTPG/XZ+3aVSmcYgcEGn1z3TOnNVcAFhnDi3hZp8RJokVZcR67tUJmtZ24Cp0zpZMn= cam55cw67tC9i2cz9v++h7yOecdZ+0rmJsfLtbKGeJJauJlxPSNkkF4WENxrjQVQaymvBqK0m1w= BrXYs/l8gQ5SHWRwDo1x9SLdQspvBuLRUlJLswxd95spnZOwyiNFS5xaK3PoXIFIlWDFhGJ8WtL= RpaxFiG9CkDWQz3uTnz5195vgrfXaFhE9YJ02Az3ux1XIrXP80Z9/jDG8PDDDxOGIWeeeeZxVZS= enh7OOecczjjjjCoO8KXsoF4KD/iaDy/ZoIxmsLeXcnEUWajFin4nsCsgSixUythSTFJUhIUCul= RGVGJqtMMJus6VdAKnjc3MPOtcwoZGTLbOaN8GEbZK1R/T2Xr9bkSvdlhASMWRYyN85drv0dtfJ= MrnUSpAGIf3SdKYvoERjg7FIJyZZhVD+RJHdX6EGbPRaeVZq7HCbSTl1LD/YD//8p272d9zDGQO= a1KkcNBtbZ8XvL3c8zIWJSSDo5rP//0/sWXXIXJRAdLYLa9SEgXw5lXL+ej73voCXSWpJDpNnAe= ukmhtnCixVARBBAROf9FarEiQNiawFRZ0TeTK919MpESVy1utmr0S3JuF+vo6L982ZhWUJMkY9v= UlXme9JsiY7In1YO+stOzayNYoIinIFRQNU5uZ9q7f4rKLzuQXv1zHo08+y94DfQyXNVIoEhlRM= SVCYREKT95Iq9XA4yU1/nsZty81jIBEQLlQSzRzERPOu4CB3Ts4/MCDlKfMga6F1Na2w+P3kBzW= rhLk2eiKAOWdSYQJ0MqQCgukPinIYUSIsk7cWyCrAa15VThOibWK5qY6Fs/vYO3TW9m+ZRuty09= C+upf3+AQDz25nZoJM+icMcm1cKUiTg3lkpNKEggqI2UGDvVSyCmamwvUMIFCbT3Tuhfz9isupT= 4XUisNJJLh0VEKjXVs2rBprDadeW9ajU5TVNUiygOutGciWQlGQmIQ5djFdAiGB4Y42HOYxqaJN= NZHzJw9FUTMM09tYerklYCDJRzpGWCkHDNlchu5EIzWbo2WrqysZOAEqpVCyIAZnV2kT65j7+7d= TF3ShUAyPHiMhx57ilhGnHbSQtoaC7zppPlsXHMP3/vhj6nIOt608iQXpAgnmi180cBah+kcs8s= CvDVeoKTzJM1sjlWAMZpAuNaqK0eHWBlhZURNQyNT22s5eHAL5XKFQm2EIsKkgsSCVpIoX6C1sZ= n6mgKnnHIS51zwFtcxkHCsXCGSMYqjkCpHGMqSJO/vWg3aLE526QUeqb8J3v4bh/XK7GPMpqzhY= 55HSmAcWSDDnGUaajfffDMXXnjh8Ue2lvb2dqZOnXocSSEb4wO5X+fQMP54v04sOCNFjCeLvGjQ= aR3WR1hLZXCQ/v17qGtpYujQfsLY4f5SpRC1BfLtbUzpmk79hImUBgc5uGULyaFe1wLw0xcHgvo= ZHdRPm45WISpjjWWK9S+WpLyhNd783I5Tqxp72G3q2kBqBTv29tI/CgllsAppFFIajEncYuFvZa= ON4wP4AOu4t/L4rnJqSGJDbSEax0l32X8lNfz4tnv41Zpt7Ds0QioU2ggCqRDeDD3TTDNjh/SMR= qp4ohe0IcdVz5wOpkUGgmIsGE4jhlKJxLV9jLFEgaZsghcA/60XLxbCAc6tJwaFyrUgA2PAVChI= iZUpUlaoq5WcdMIC3v3236Kt3lZFHjKxXesdDsZ/1HG5gd8MM1aYl6Hw1b/GhnqUhCR1m7E1hlI= 5JvE6eSKzxqrOgWNYp74yQQavEJbamrxnn4oqNk0JzzSQDg+WDy35UPLui07h/HNOZOO2Q/zD9T= /gWNklS4EKfDsua8WOc3fIwuDx8iSvw5GiMUpi8zXQOgV7tIi2ivKzTxPXFBjuO4oZ6iOSAVoYK= ghE2Oj07jTkpfXBcUbUCEhFRFk2EIs8ioTQjFLQJfLCBSMyCF6+5M1xQ1LX1MzJq1bx5LMHuPU7= 36N0tJ+lJ8ym79gR7vrVr3hy8y6uuOKDtLQ1IEict265zEMP3MfcmVPoaiqw8ZH1rFm/g5kLl9M= 5dTLNU+qZPms+v7zzFzS2T2DVacsZ1gl3/eJ+jvT3c8V7L3MOKr6CnqUk1lgCIbBaY4VFC4uyEr= Txlg4SZQyD/YdZu/Z+Jk9tpjFvWXPPWrbtGGHVBe9gQkMjU05eyrTuTm797k001iiWLprNnl07+= cFtD1HTOo2Tli0mClybVNsUpEEIhTWKwJPbBAWWn3Y6E+9cy50/+Cat0ftoaaznicce4Qc/u4dl= p5/J6acuBwwLF8+hrbWWBx5/iumLTqJr8iQiNEK6YExl17FQIJ12arbfqqz17MW/ha/QucvdetK= SQAq35xokRuSQUYEzzziRa6+9npu+823eeemlFKhwx0/u5MjAANPETGTQwNzZc5k08X7uuOs2at= paWLJwDn1HernlzvuZ0t7Eb1+4HBuXXd1OmLG10X0jVXKC4MWJky93/CZ4e42H1ikHDx7k6NGj1= NTUMGXKFOrq6qp/LxaL7Nq1i2PHjlFfX8/MmTOpr6+np6eHb37zm9x7770sX76c3bt309jYSHNz= M3Ecs3fvXnp6egjDkM7OTiZNmoRS6kUDtSyAS9OU/fv3MzQ0RBAEtLe309TUVBX91VrT39/Prl2= 7SNOU7u5uJkyYwObNm3n00Uc5++yz6ezspLe3l6NHjyKEoK2tjba2Nue6gKfVGUMyMMixXXvomj= 6TgW3bKQUGWVtDa3cnbbNmEMcVjux+jgNbtlPf2kLnycsp9Q2y/6mNJENHyWkNNfW0zuriwI5nm= TVvFkGoHOhYepzK80DWb9S4zQoH1jdWuf8Lg7TS4TSERfvWqMDbf9ksGZBgw6rivzEgZIjx4pTW= Ck/kjJ2dkrcLSP2NLv3Xte/IID/60T1c+dsX09aY9691c5uTkrwo0NtXpCQiYqnJsPfSeI004Vo= j3n4eSDFCoq3ASF1tc0r/mXXWPxDOd1WRKf1bjHWYH4uvBKA9JUs55wgv1qk8/CAV0hEQhMIEIc= QxOWGYPqmJloYQJTQSyOdD2lqbOWHBfBbO76K5PiKw+Kqjq5SnOCsvK53NlMA65wLr5DSMdRUt4= VuODiToQlYpFImFjsnNQEyqQiQBAYaeo0MMlgytdU6vzn0DuFaeMQyPpoxUwBiBCRxvOFQpE1rq= nBaaxRM3kmqlYLw7i0ATSUFLfcSyxR1MbW9hcHcvgXQOBsIzHFMLQgRYAdKacaLKr9/ADUDK8ZV= RhRUB0hhyQ0dQB5/F9A9gRodIRMiQyFE7ZSrNrTMxiaY03Mux3v0UKCIl6DBkVOSoaZ/JxK4l2E= ITpniU0Z4dVPZtQZSGyAknkvvqhkCqHN0Ll3HZewQ//sndfPdfb+S2tnqGi0WKFc0ll72bc88/m= yAMgRJSG5Q1jI4Mcf03bqReD9Hb00PrpC7OPe8C2lsaKMgaLvvtD1K8+Wf88KZv8dDdt2OF5EDP= Mc6/4HwKhbxPqlKsTT3RyHqGtXYtdZtVJiUoRWpcizPEEErN7r27+PI//ANROkLvoT7mL1jJ2av= eRHNtgaB2Ar/7yd/nhhtv5oavfY3JHS0cG6mQiFre/Z73sHD2NJQdxQrlvFxNiiXAmhCbVBy+TR= Xo6JrFle+/hG/d/CO++pW/p1CooTg0yOy5S3jLOW+ivq4AukhtSxOLT1zKA3vXc9b5F5NTIRHGt= WyzDpZPodya44JE5XnD2liX0NoUrUEEuep1L70Xq8kwujYl9XOzctVp7NvzLKt//iO2PLODBiyl= oSJNLS0gA4yJmNE9m8uvuITv//A2bvin62lrrKNUGmXI1LL8g+9DyAL5fIHAVrBp6bjA7Th1x9d= o4/pN8PYajCyA0lpz6623cu+99/LmN7+ZQ4cOMTAwwMc+9jHa2tooFot8/etfp6mpidNPP53bb7= +djRs38pWvfIW9e/cyNDSE1pp169ZRLpc55ZRTWL58OT/5yU/Ytm0b73jHOzh8+DC/93u/x6c+9= SlWrlz5oheCtZY4jrnpppvYs2cPF1xwAfv27ePaa6/ld3/3d1mwYAFCCDZs2MDVV1/N0NBQtcp2= 5ZVXcu2117J//34OHz7M0qVLufvuu7nkkkuoVCr84z/+I5dddhlnnnmmc00QIFNN3NvH6MEj1J5= 0KmZCG+0zOpm2aC59u/ew6+F1mIEBTKWMMIZiby/PHthP2/wTWH7pJWx5bA3Hnt1FobUZKQQ9Tz= 3FrHPPxtbV+o3GjJNf+Z8zMvReJhorn48lQzivUANhLocdjccySmuc1pXR3i/S++55tX1nj6URd= pwRkq/CaAvP7DzAt1bfxUc+cB61eY0UkfM0lfCWs09id+8gdzz4JBCirXRZu6e3W2tQViKNY42B= k2UIfIAnjdPWckB5gbIKZaT7WxZ/i/FNKlOtcdmqBpdrcShA+SqiMgppIbQCYQwiday9vJRc8rY= zOedN8wjGcSekr2IpLzws5Ph2sXsXZfHm5O41Nk1RNueKE1l1r1oMHYdNEq7W2VzIEaHRqoBJNY= GwHD3SRznVjniBqn7Z1rhAtedID0eP9hMFERVtCFVEYBImt7QijatmU5UTUWQow6rArDW+4u1ss= oyOUdK7KVRruL4Cw/j75vXZKn3+EEKiTXbNaoQuY6VATuxELTyZ+v4jDBzew7DVTD3nndTMW0Y+= KmCtoGAMdQe2kdx7K0cO76VSN4GW5WfRtvS3iJo7ECrCloo0VAZIn17D4Qd+jhg56sutr2yByVx= QpMyRr2vlpFNPp6NzLvsPHmRkdIRcTQ0Nja10ds+mtq6m6pkaCEM+ijhj1SpmzJiMPdZPFIW0T5= /B9KlTKAQKYQPmLlrOx9oms3//QQb7jpIr1NLY1sqMri4aa/Pku7v4P5/5NI2tzYTSEzRkDb/zw= fdRrlgmtjZjraoSZYQAtCEwhpamFs56y3k0tzWjSiPU5XJM75zJhEktSKkRJmDx4pP5oz9q59Dh= IxwbHCBXaGDS5KlMmz6N2lCAVZx+zvlMW7ySyR0zCWREx+zF/P3f/BmTOjqxUiGjRk475wJaZ86= nt3+YJIlprKulc0Y3bRPaCfDWVETk65pobpvIyact8TOcEU5c1V8Ih7HL17dw2QeuRKt6JjQ3YI= gJonqu/synaGhqQsiQ2oZm/ujTf0BYyBMphSBCKsnb3noeK05dyfTuDgSK+vo2Lrv8/SxZcR5H+= 4vU5mqZ2NLi3CQKEbkgJAgbOPHklUyYPJMDvX0UR4vk6+ppamlnzsyZSFGhe+GpfPVvupjW1eXI= fGMrwPOv8l9/D/wHrrvfBG+v0cisuz772c9yxx130NXVRalU4gtf+AJf/epX+Yu/+As2btzID37= wA/7u7/6OhQsXEgQB11xzDbfddhsf+chHEEJwxx13cP7553PJJZdgrWXnzp1cd911XH755SxYsI= ATTjiB6667jhtvvJHFixdXxX3HD2stv/jFL7juuuu4/fbbmThxIkuXLmXz5s381V/9Fddddx1aa= z7+8Y/T1NTETTfdRE1NDVdddRUf//jH+ZM/+RPuvvtuHn74YX74wx9y/fXXs2LFCtI0ZXBwkC9+= 8Yt0dHQwd+5cpJSkcYWj+/Zhi0Xi8jCrLruQnU9u4Ykf/gh5bJQoBSu088hMLSiLOTbAkYfX0rv= jGU4452yiE0+hHCfs3vQkJpdHj5ZQSG8e7jedakvpjT2Er0plCvDOQYFqTum2Xxewaq9rlMQlQg= k6LRGoACUduzSQoDEo6wzirXGVqUCGGB07O6RMQy0LRazBSwVyDgAAIABJREFUiJD7H36axctm8= 6aTZzmWmtEEEhobIj7w3rew58Aetj9zhJKxWBERhgV0WqmyqDMYIsK1LJW1KKNcwGgzZ1PjW3cu= 8Mpisyqgv9o6Ht+odOcvM0W5TNmy+ntKKC2ltEwUKIRNUTalNvDODZlKAI5cl2GBrA96wCAM3oZ= L+aDQzbPBYAgoxRYVuKooviVjcOcaCEckUAJmdU4lQlAqJwgZoI1mcChmw4bdtJw5x4GxjcIThj= Ha8vT2A2gRkKYxgazFVlLq6uqY3Nrmq2d+JkRIYqyzxhJjev5KOHmVVFgqia/MGeOwi/9VF/F/0= hAWlNGgHd7PgYYMWkiS+jaY3EVFK0bDGibPW0zTaeeT2AJbH7qH2lxIW/c8ctNmMmgEaUM7Dae+= mfazLiaob0f39lF87llqauuJOqYQnXAipQfvdK4e4aubOQNoJKGMKNQFdM1qonPmTLR1zE+krH4= 3OkmBFBU4DFfbhIksP3kZtV4sXQQBgQW086e1QciUjqlM65iKqTjlOJlXGKsRWIK6GhYtXoQR2k= MFcggEs2fPGlPst6BJHcHZqiqBRcqQyVOmsHTZCeS0Jq+Eg8S52haIAGs1XV0z6eqcQawtSoWO3= Skt1qYYLWhvn0brZOU8dLWltqGJ004+0REpAKMiwrqIBYubmWcs1qQIaZHCWV5J4wga5eGYh9dv= ZdHSZbQ255ECkjLkc+7es9bZgSkFhHm6Zi9AawWe7GSlYumJizCpW1PCIM/CJQu9KkLWsgyYNn0= a06ZrJ1+FQaoaWid00jqpm3KcIFXOWRAaB+8wwmCtICrU0T17Fl2zukmsILaQV6GTMbEF6tvynD= 5xKlpA6iEfL00QenV72W+Ct9dopGnKN77xDdra2ujq6kJKSaFQ4Oyzz+Yzn/kMH/rQh7DWEgQBg= 4ODJElCFEWEYchzzz33Agzb+J/5fJ7+/n4qlQq5XI5CocCRI0colUovKug7MjLCd7/7XVpaWmhr= a0MIUbUOu+WWW9i0aRM7duxg586dfOlLX6p+3quuuoq7776b7du38/nPf54bbriBffv20d3dDd5= Oa9asWQwMDLBmzRq6u7sJwwBTqlDef5AwrrDtjrvQiSEYLlNrNJ7sU2Xc6EAShREitkTWkPb18f= QtP6O+azpTZnZS3rmPtKGWpO8I4bQOXyWRmBcAPP+nDjvWGLCWAElDIeCtZ53CaAwWRT5ynoZO+= kpSTgybNu/h2T09GBm6Jp0IkDbGSu2xXa4FZ5xbJnEKI4niH2/8Kbncu1m+aAZ5iV+MNa21ik/8= r8u55us3s3XfIBWjqQiBUcJjkjVGWgdJxMtfGEiF8zzV0mBF6gJU4xZOLf1WMh4oh3R4vapjw5h= 4alY7Qnp5A3BSEMpQ1mWCfJ40SUhUilDC61mJcQGMDyCFs7h3ODnXgnfxpvfLFYELpqwlDPIcHo= 659qZ7CUQJbWK00WQIgVyUY9HcTi44axmRFLS11TBpchuD+4ZAKjQBpVRw7b/+gE3bT2b6tDaa6= nOuXTpcZu/+ozy8fjNDZd/SMZCLJIWCoKNjomuZSwexv+f+zax9fCNaKKJ8gZqaWvK5kNDrRhkE= h44Os+vgUYzKeWss690b3ph3i7KGyFjyVnhbrDzIPKlVaEfPRAR5Ypmn0DkHWdPEkWeeY/8Ta2n= VQww9cht1ypD0DxJNX0j7/DcRFBrofeIe+u67DdHfiwgDZsydRWlgP7VxDzYdQUe5V1WZtNaReQ= QKIwVJqlFIQhVirEanZZQKkUKhAgUmILUKgshJbCCQKiDwSYf0ZCVjfbVXCLRJicIcWI3VcVXr0= AiBDpy3sWPdCg83GCeOLkD7Kq40jpObBhEVL90TKShI5zmstdt7lJBYqxGB8z8xWhPlAox13qSZ= TYgMJMZYMNL7dztsbJqCDJSX6rAetO+q94mQjqnpoklKA4e542c/4u4HN7D90CB/+KE3UxdIctY= hRYy/Z13wJTHOgNRjfzOcuZPoMmhkGGAAlU1ohv8UmSWdxhC7xEyEWBMiBMQVTS6XR3tNQCmUY4= wqJ/RsqooSEApFYJ22nVu6PI7dOtawCiTGOnLWfwat7jfB22s0BgcHeeaZZ5g8eXK1BSmlZMGCB= Vx44YVorVm6dCnXXHMNx44d46c//SmHDx+mXC5TKpWOC9jGOyNMnz6dL3/5y/T19VU9T/ft20dD= Q8NLMlePHDnCgQMHaGlpQSlVPWZLSwvGGDZs2MC6desIgoDu7u7qc+bOnUtdXR2bN29m0qRJzh8= zCMjlclWiRF1dHfl8nscff5z3ve99hKEgHR6hcqiHUBsYGCI0ktA6ar5bPxyrVAiLCRUNUyZy9L= n9WAKEEQQkjDz7LM/s3oFKLalJObplC3UnLMSGuTFG4H/xd/qfNYTNWoPH52TjGl0+fnPtwsZ8x= AcvfUu1uaj8AmQzdp6F51aV+IsvfZMDfSOoIEInKUqFjpWKQDqTKBe6WYGMcgzrInFR8s833cnU= T13BpNYGanISx70zdE9u5Xfe+04++7f/RBBElEzizLpJXVA43ujaxwvGI9S0cHpxqRfuNCg0EMj= MnmkcflH4LP84TKOoNpENzkDaWF+PEwFShSSpRRIgA8dsk8JVFavdL+HYYGNz6vSVhLTZ9Prj4z= YSJUgllLThnofXkQtBJ15yJbMK05b1G7Zw5solhHlFoaBYefoinvnBfRgboVSO1DrLsjsfXE+Uc= 9KioQqoVBJSrdEEoHJoa4mkIZBF3nPFZeQKPvAlZTSV/PSOR3hmXw+JyM4lcBLGJkVYgwwUsRFo= EVJJNbnsXG2GGXsD3jH+WrCZibyVWBmBCKtSQTrR5IXAHDyAjUeZsmA2Ey++hGMP38XhnZsoxyW= sloiGdvLdS0kPbqf0xD2Ee5+kLh5CSMGx4W2kOiEyEEYhfXF6/DX5MoZ0fhZIkfnsKldVM6Kq2y= dRpDpGyMA57khFbfMklp+8ko72Ce4YUrgKutauYqvGRJslyuE1TVq9FrJ3N1hSNIH3KLZiLElyL= VJXAtLWsbILgcJEEW2ds1h8UsyElkbncJIV0UWGufVVzzhxa0mYI05jVBB4GQ6NkgHWu/RIqdBe= uFpInF0bmXKWdGSqrEqvBAkOt2usZai/nyfXr+fYcIU/+D+f5dSlc8gLgSB1ouRBDqvxtpOpq2Z= aWYUyCJ9BWi/Joa3DyWqDs0PLSH3j4GdSKFJjMNYQCodBDYPAaU2SeFcP4dq51rXzq9qWSIdT9o= ugydZC4Ri9SrkqPi/lL/0ajN8Eb6/RSJKEOI6dAbsfQggmTZrEpz71KZRSHD58mNWrVwOwYsUKa= mtr0Vr/WoeH0dFR7r77bjZt2sSqVatob2/3UgQvPeI4Jo5joig67tjZ7yMjIwwMDCCldL6jvtWa= VQLjOKZUKlGpVF5gT6YChQoCRkdHHUs2Takc7qV8dIDICr/lZrGJ8epKEFivnaMCps6dS8++Q0R= au5K59oiexDXKgnLM3rUP03nh27Bh6NiA1az4DbghvWCI40K2KksT61pvVqAInKgmIIwhDOTxDM= 5sxRIQCpg6IUdzbcih3jJCQyjziLTiWqbgAyO3cBoriNMYmYuIjeHgkUFu+u69fOJjF5CLQpQCb= TShlCybP5lPfPQ9XPetn6HjMUcCad1GMxYiZNxqjyXzeA9pM8xaVgxyNHmDC4gssRNU9fZHUtiq= FlR1A8ExTG0mrqpd9cxB8yU6TZFC+WRGVifJORW4rFxl1bzjJ9G3gJNqi1anFiFChBDEqUWJglv= gTQoqQEqoJCWSxEJkyCnB6csX8Ks1G9lzaBRjtZNNsBIhIyqJW+xHK4nb6ITyrVvtLIX0KIsWd3= DS0k53L1iDFgYlBccGi2gijHRYRlKJFriN3KSQOI0sIyxh4B5TElQYUalU3pA4US0kFaGJQ0sYp= CBSjHVQgkC6ak9NoKiNhzjwxHpqJrUTnX0p0aJTmTh3Ga19B+i/5ycc3fQENflaEDmGe48QHzlA= TmgHbUtL2LLEyhwVLV0FReVe8WcWaBQx1gSkOgQFgRAYd7uhNGAkgQqx0oVaQlhmn7iSPz3pLKy= M3PO8Hpv0dl6JTVBCooTylSPl7xVDoiUykA6oL8eJWY8LTgRgE41wlgYoBGEQOuhFPsdJ576dE8= +9GEsIqX9ZYEl1BSkD0JZQBigVVAEdMsih0Sg0gXJVciNdRU9Ztxa5FqZB2BRhDNqCChzWzGrfG= teOPCElSKton7WQz331n8EE2FBhpcBQIbFlwjDnWts4VwUlfNhifUVuHM5VCEFitWe8Olk7Kxz5= yHjdRGssBAJtJUKFRFY6DV9Z5VUhZOBW5sBUs2Tr018jpFtXY7+WqIqvlueqCYAwFhloT7UI/91= E6pXsaq9Pj5Q34CgUCtTW1jI6Onrc4xmzc3h4mGuuuYbNmzdz5ZVXcvHFF7N06dJfyzxJ05T77r= uP73//+1xxxRVcfvnlnHXWWdTW1r6oNEj2s7a2lpqaGkZGRpwOjn9usVjEGMOkSZPo7u4mTVP6+= /urrxsaGmJ0dJSWlhaamppobGwkSRLSNK1mLHGcUI4rtE2cgJQKqyV9W7dgR0eq2b4zfsYb0Ttx= RestapCSYEYnNhceV2vKmmUOZwB9Tz5Nae9eJ7Zo8Rkt/vnP25PeYBsU48DnmT2PtU5/qVTWGBz= jNLUSLSRaClLhyJiOHWWw0mKEJrWpe752TK+8EggTo2yCxGCMWz6McOKvGkNqNTZwTVSkITGaxz= duYfWt91NMLCkBCNdGCKVm+eIOprQ2EmgQiUCmIVIHpJUMm5diSbxVmSWwGpmmhNY67E5cwWpNq= jNskCLFYUJi7b0mjdvQjNYoGTr1+FhjrUVr7RdOJ6ljdELgmXKBTYmAKMyTWFeJSqxwFSkkGocb= 1N6hIk0hSSXaSrR1WJpISURcQaUJBSU9U9ex2LROXEAknX2RSZ3Eg/M/dxXQqe2tXPW7V9DdOZl= IaSQJUli0TjFGY40hUAFGO90tdIJIy+SImTdzGh949ztorCl4XKLAGMeICwPlzNZT4z6PcoGf1o= 7IIIQnkWCROkFYzfx581h1xulVxmY2ql3UVwHMf1nDHv/fsXtWVPFWxiq0CIlVjkpYRzGsZ0TVU= ZS1JFEdptDgNLrSMjoexRpXhUnjBGMsNZHiiV/+jPv+9rMcue1H6L6jyMldTLjoPUxaciIlnYJN= qGtoQNU0MZwKdJiDqICReVIKaHLOPeRVLSJjrjoqdMGEycrk3irRCe+pcXAAhSVAygBlrQt6fEs= QhfNiFdJfE8Yxy4VPeJSDS2jjJGeEP5q1Gi38upvld6FyAYRwWEmsRQXSixPnQYQE1mFnXd5jHb= BfOJiMe2PnGCKl9+TEVfOtMdgMjpxdbtqzqMkAjMK1ia3EaP884cTFLcq/3mKsQgQ5ZOSYxYFNi= DAEIqCSxggpMu17rHHMeoR7rGov7F1XpAh9e9XPvzGOXauUf430pB9Fqt06INTYpYmGoGrG5U9K= aocpFXIsYQ08i14KUj8R4yUVs9c7HG0VRXic4mL2b/ymVoWL/DvX5G8qb6/RqK+v59RTT+Wee+4= hSZJqBc4Yw/r165k+fTpr166lsbGRlpaWKtZNa1ddGR+AxXGMMYYkSVi/fj2jo6O0tbWRz+fp6+= ujp6eH6dOnv+B1WSDX2trKnDlzWL9+PcVikfr6erTWHDp0iFwux6mnnsqcOXP4/ve/zyOPPMI55= 5xDEAQ89thjlMtlLrroIiZOnMjixYt56KGH6Os/SnNTM0IKBgb6ScoVVp1+BkGgEOWEQ5u3INJ0= 3OewvjrjL9TMRFwKtFQwqR2Rz2NHS1XsU7XRY11FIu4f4tk77mTJvLlIGXn5Ca+V54kLVf2eN5h= myPFZmNdjs47Cv+9gL3sPDzOxpZ5ACucYIDNz60zzzPpqhMORxHHCzgMD9A1rYhs4X0GtQSnWb9= /BKUfmMrG5ngCn/r9j32GGhkYJhEKnBiEiSmmFex58nOaWRs47cym5fM5LYggGizGpdh5Lgcxhh= aCSGtau286ZK2aRjxTGSvqHS2zdfYiK1oQqJNYpVgpy+QLbdj7H7kMDTG9vcvpWBnbuOUpPbxGr= I0LfFjNWkMZOCmTb9n08d3iI9rY6hIU4tWzdfYhSmpJifAVOkisUKBnF+p0HfFDgWqg6dVul9Ir= vYSgwqc/GAaMsfQMVGpsmUkwHEBiSWKBkSKoNAo0MBdpUMCYhCPIIJWidOIU9h3o4uM+JxCZWUE= Zw1jmnc8cvHuJwTy+VNCVQga8yWlKjvWq9dtY8MmTmjKm87a1nMFKM2bL1kJ9vQ4okAabM6GLfx= q3OXB6DTjUgCMKIRKdgnMOKMZpcFLJowRxWnrGMZ3f0IIQgTRKCIPxvym18G3xcp2oM+eP0CxMr= SUQBcgVmLD2Fw8dG6T2wjzAdxjZMo7VrGZiQdOgoleEjWDETlMaGklJUT752IjUS8uWjHL53NXs= euZsZF/4ObcuWYDpnUdq6k/jIDqLJ7ciZS0iO9DI80ksQ1lDT2IoeScilFYqlXmyh7lXMkwTrcI= 1poNEZ+1rgiTBgFF7iJkASu8aEFE4o2ONChceKalIUCmWdewFeB1B7Go9Ge5kPWZVrCoRrD2qsI= 3rgDaTRjixhJEqASVJkNF6309ncVa2bDCAVyieYOnCiOoEJneOY12h00ZlywZQ6PiDBB45ZhSqz= ZpBk+4BLxBypSbmTV+5pwuJaokZAmiJyEblAVJP/8a3PbA30XnROdgjXoVBZEGW9M49veQrr2pp= CSoQCpWy2AmN0TBA4qy+hpcPC+aBtfOqhjPUMUosNwIoou6rd96k8E80okJq0KtbkXqXAVSXH2W= k6mST3w3p7Lyf8/dJ4ud8Eb6/RCIKAT37yk9x3332sWbOGM844A2MMa9euZceOHZx66qksXryYu= +++mxtvvJFp06bxxBNPMGvWLCqVCj09PRSLRerq6njsscc4//zzeeKJJ5gzZw5DQ0Ncf/31nH/+= +fz4xz9m1apV7Nq1i97eXorFIh0dHVVFeWMMURRx1VVX8eEPf5hbbrmFd7/73QwNDbF27VouvfR= Surq6mDVrFldccQWrV69m3rx5tLW18YUvfIFzzz2Xj3zkI+RyOS655BLuuusuvvWtb/Enf/xptD= Gseeghli1azMoVK5zS/dAg/VufRRmbWWx7mWJ/s9oxNqHBqVXn21oJGxux/ceQVXkDPEjDsanyi= WHzrT9l4bveSdg5wy9yb6wg7aVHJoWRmYRTlYfoPTrEl792E61NTd46J8JYV3lxfp5ZK9B4If4U= q2HLniP0D8ekRqECUEGOcmLYsHU/f/21m5nU3IyyEqs1W57dRZxYTByTkxHWBFgFxyolvn/rXTy= 5/jlyNQFCpmAFfSOaA4ePORyOSIitwErFN1ffzqOPTyUMXCbeX6ywaU8vhpDUCIKgQIqiksTs7x= 3m7/6/1Uxrb3OLjtXs2nOQSsW1c4WU2FS7xVM7zOfeA7186WuraZvgSDlpKtm5bz9DJSeuabz22= XAp5hv/crNTWJfed9U4DFI1Ea4yVp2FkJQWTYIlx2gZtHHtEDLrHuHYvIlwi6zD9miMlezv7ePz= X/o2ESk6TVBhgVQ4L85UG+LUybcYIUjTlDAzSxcCrVOkColTzc69+7n2n39AJANEmmCJPbYvwqi= A2FZIjEHJ0OFPQ1dt0daAdG1it4FJktSwbes2nnnmGeIkxWhHjrJjgKD/+iFMtfHttj4DIgFicg= GgFKZsmdQ5g+CstzEtX0/0xBOkpWEmzT0RteAE9NH9iL3PUGdGCUwFTAVjExIZ0rXybOoXzGdw0= xYOP7MLwnqixokQJ8jhAdKeXfQ9/QhTVpzDjJUX0FdopHfnU+jA0LpyBVOA/d/+Z0QsXnWAazEY= CTHOISJb1ZQY27az9p7QAqRw1+o4/Gs1iKiyqsdNpdcZTISrCkus03czHveV4b2Egwi4AM5V593= d6b+DMKSYFBkarZCrDakJFKGwSAcoc4mP9QQEaUhJnEwHEqMkJU/+iZRC+a7hqNUMl8s0qpCGIE= QKpzFKEHr1NXciqfdfNlaDsYQi9OedeRpbL6Pi2UFB5KqJ1kkICSFQWTBsnb+wNRqMaw2LwOFq0= yRFhcqtD1JW19vqXHs3FGt0Vm4kNcbj3VKfIY+JaStPGZXSd4i8k0psIfEyRK6OmjhssQiciLfV= TtIId86hzKAdGXPWV+us7/9ai81Ys/6q+nV3rrD/qf5J//8Z2TRu2bKF2267rYpNy+fzvPWtb6W= pqYmDBw9y44038txzz9HV1cUHP/hBNmzYwNq1aznllFNYuXIl999/P2vWrGHJkiWcfvrptLe3c+= utt/LII49QX1/Pe9/7XhobG/n2t7/NlClTuPDCC9myZQvbtm3jySefZMGCBSxatIgzzjiDbdu2s= Xr1ampqagjDkMmTJ3PRRRfR1tbG/v37ufrqq9mxYwfNzc0UCgVOOeUUPvzhD9Pc3Fyt4u3evZtv= f/vbxOUKtQ11FGpquPjCC+mc3gmBYOC+B/nVJz9DzWgRYZ0PpfKedW440VODwkhLsamRN3/pr1l= 3wzcpP76eSGtni4XxZt3uRrFCUA5gxrvewbJP/xGits4zmdxxszaHyLKx/+IhXsWbrnjvl21ojW= MvCYu0KYGqoZJqlEjJ2UHyYY6yCUnIYa1GWgeYD1TogMepJggEYSAwaYKWEalxwOlAJihZS6wls= Y5BVKgN89g4RRhLqkIqZpTavILEYmwtZWvQYpSCMoSVAKMUWjigdIIiUGDSMqmwxCJ0cIBKiVop= UIRYY6hYQzlfoFZaQiwjxRJWBeSjHIkuI5UkSISzq5IarQ1p0EjFJARSkJeKSjKKFjmEsETKYlO= LkK79G0Q5ykmMUPUkxhIFkrhcJpKaILRIqSiOlgiD0Ju7iyoxoVoCEg6vZ9GgEh84R47RbC1CO2= BzEEJsRogJCERA4IoDWKVIjAZcSzgKQ8qVMka4VpQ1FiUVRjuyTxiFlEujblMVgjAMSLRBBjnSp= Iwlcdg+6zTwkkQQhvXEqcaIIfK5CF1JiXI5SpUKUkUYC9pKR2oy2inZownRaGNAKbSVJNoglKrC= DURWBufXs1HXfu/Tr/qGskb7G9T4zcg4WWRbglIPO793HfrR+yhURtEN7TSfeR41J60gbG6FfB3= EhnSoSP+GNRy582ZsZZSJp5zBxDPPo3Sknx2/uov25SfSOmcRqmU6RBPAKuxoP/GedYz+/Jv07X= +OqGMuE894B9GcU1FNzRCkEPdTGdxPsulh+u/6Gap0jEEbMTRtGSs+9UWIpkJQqJaT/i977xlky= XWeaT7nnMy8/t7yVV2mu6vaewOgGx5NeEs7IxB0q5VWM4oZhUJBrUbiSDGxuxrN7ESsX81yMbMS= JXKIESlSAkTCNgiCcN2NbrT33eW9d9dm5jlnf2RWockRuCOOVhSDOBEVHR1Vt+rezLx5v/N97/s= +dnVDat/XNK1qcKMRnA6rFI3hyuQsc7UaWgh8G+UUtmXzdDc1kXVdPLOiv7QYG8YbuKg4lyqGmA= sbmYrie2c0Koys2oGKnotrBHHaLkaK2E2twQRII5HCBRWNUoWOyovQhRqWwalxnj18mLvvf5Str= c3krEERYm1krJCxjhJiY4yINgxDs/NcWqhgrMVRguZ8nramZoYW5zh67hQ3dXRx6/p1uMRRNjEi= yyMyMfhERCFhDA4y7shpjLIYIeMAbxmXmhprdCz5kARG40kHNzYRmNhxLVcmO5hIXoKNiAxAJdQ= 4TjKmKwRIERkswGFFjYOIo4zi3ERpQ7QJwfEIbsh4dE3cRRRRe9I3mquTMxgvQWd9PXmlcWPdox= aJiI5i/WiTbl0wzvtjKGkJhYwy91b6caFGKoVZifQW72uH/7o3oxBCfNh5+1tc1lq2bdtGT08P1= WoVIQSpVArXjQTQHR0dfOlLX1o1NnieR0dHBw8++CCO4+A4Dp/61Kd4/PHHcRwHz4vasb/4i7/I= Zz7zmR8yGPze7/0eQghc16WxsZHbb7999XmsOET379/P9u3bqVarSCnJZDK4rovWmi9/+cu0tLT= wB3/wB6RSKRzHIZ1ORzqHG2JKuru7+dJv/w6lmL+XzqRxPSdy7YWaoXeO4lQq0e5h9UBEnWCLjT= 8oBVZYhI2zcnI5sh3tlE6cXJG/vD/nj3mbWEEitAwdfoPOe+6m+e47IT4e0RNc+Vd8oOv27+0Sq= y919b++76OUh7Ehe/ffREN9K6VKldNnz5HP5kilUgwMDiIV3LJvJ++dvEBPdydrO1pxlOLo8XOU= litsWNvGli1d1HxBuaY5+t5xDJZ7794HgaFW1bx+/CLrOzvZu3M9QbXGpWsz9I/PkExluPeubVw= 728fA2CJeMsV99+ymf2iagWvXueXWvVy+1sfEYgltNJmMw8E9O0h6KZRwef2td0gXEjx6aC+Ls4= v4gebo8VPcemAXmUKe5ZLm6vleWhqz9GzooFiqcrVvnJGJIR649x6CchGDz9vHztLQWM/Ne3fjV= yRDg4MMDA1wxx0HqPlljhw7R1dbG9XKEkVTY/uWDazr6KRc8VlYWub8ufPcvG8/uUKeYqnKyVNn= qQUhoTHU57O0d3Ry5eolNm/ZwPZtHbz80jskPY91nZ2cO3eF3bt2kS8k8DIOI1NLXD53lYSS3HH= wIFoJRqYmOX/pCnt272JmcpJi2XDPvfdy+OUfUKtUkcaSdh0OHboT3/eZnJzg2tXL7Ni+hYamJh= KJNKPj05w5d45MGu4+dAeVakC5WOXUqctUqzWU49HV1cGW7rW0NdUzNb3A2bPnQAjWdK7l5Jnzt= DevwXVdJsfHuPXATWQyWYIw5J1jxwmqfiTa/iltzSNYu421YFGMA8IB64CIC2Dj48qQsDjN0CvP= 0jzWT7ZnM7qhBVmrUe67zvSFE6Src0itkcPLwX6FAAAgAElEQVTXqL7rUS1XUbOjjD8/iBgcJNG= zA5FthzAknOpl+eI7qJGrZIMKpcELjBQrFPqukuzZgk272KUJFq6fYfnSe+T9EjYMo2LtJ13CYh= 3LwOgkT3/rWZYqVdqaClirMVqwd8NW2m+7lbq8gzYGGwv9Qy1IuApsiHQiYodvonRpZeOxa3zvr= MWuTWEjM0QgQDgCYaPNrzYSISRKeaudOIDQrGAO466ghYVqkSv9/ewpVyPtadQOixSi8TVjWamK= QoxwuTo3zzPfeZ7Zckgi4WJ0CS9b4J77H6ZqLFdGJ1mfr0cLhbQqBroTUV6kxQpNJEQAVzqRaUB= GrmIfSxgj72w8DrTWYKWK9LHW4ikZG59CrJQRxVQIhLV4wiKMxlondvxG5i/XScR8E4GjXNTKmJ= c4esUawhhV5RAFf6McrJRUiTp3DiIOCI4+p2Scy+mHAW8ff49MYwstN+9FyIhn6luoEZ0jDxUBW= eKkXhNntqzYS7SNNnQ6Pi+eiM3W8SjafGDAb7Q+LN7+ltaNDNBkMkkymfxPfkZKied5q0UZsaEh= lXr/xrFSxN24XNf9IRcrcfbbykqn0x/4vNLp9F/7/aNHj3LgwIFIGxOG+L5PsVgkm82SzWZXXaZ= CCBLJJF4quRq3oOPgUrtYZuitYzg26kSsYkji3YOIOwrRii5ZIy1uNkO2o40x1yE04eoOhNURS+= S6ExZYWOLM1/6MO9euJb2hO77xxZq3n6F67cYlCOL8OxHb8iOGpbUBCUfQtaaDH7xxhLIf4OuQt= Z2dNDc2MjQ0RCIh2LVtLSdOnaO1qYHBK2dobu/kwIG9vHfiFJ/9zGN8+emvs1is8LGPP8LG2TZ6= B2bZsn4j3/r21/nU5z/D8SsDNBZSlJcXOXbqKqVKBPLubGrm5h276MrV8bW/fBXHkbQ1tXHn7bv= 43/+3AbZu3cTYxBzj8+UoOsZoujpa+d7h13nsoftYU58nTCbZt2c3/+O//p8x5LBhkj3bN/H2u+= 9y4coYpia5dW83tWqZt4+dJaiC40BXWzPPP/cWjz/xKOcvDNBUaARtOHrsKDUt0dqyY+tWlkqLn= Dt3hc6WemamK3hOmo8+/gBP/9/PUKwa/DDEUR6da1o5fuJdxhaWqdYMgRFIzyWfTNDT2Up/7wW6= 161he3c3Y1vHmZlZYPPaVi5cvMbadZ2889abVI3hN3/jH/PV+UUmJ2cJhM/JExcpBhqlEmgNn/3= 0Jzhx8giLsxPU/IBQRH9fuB6phODtYyfwq5qEk+Tmg7v4xjeew1Eu/+Sf/hKDg30kpU9bXSN/+c= LLPPXJTzAwMMn41DLaVBkeKVJdnGPrp/4h333hbcrVMhvWtrJ5/TrOn75MazaHm08zOTHEzm09v= PDia0zNL1KphRF4W8dmJWvfB7b+Hb1pfihu4kbttbVACqs8QmnAVkmbKl6tiDm7zPSZN9FWRA5J= LKmwRiLWweqBCyyMXKVmIWUg6yaYP/4KvPcabhhpjnwdkJYaT5djtmwFf/oS5dmrLB2NRn/aahJ= SUKiVSEgwVsYZgD/ZsnFqWKA8yDVzx74NfOzAblIqchcklEPaVVhrmC0V6Z+aIpXJ0d3ehsXiGJ= /lis+SVlTCEAvUZ/PoWg0lDNMLc1QTLg1NrTRIxcT4BEvlIm1tLTRkskhrcSQsVWtMzc8hNLQ1N= UbsYsdjYm4RL5VmanEx6mJLg5RRV3C+4lMKA1qzHkk0pVrAUsknn0uSdCOTQxXLXxw5zpW5JX7n= l3+ZrkKWyek+vvbK93np2Lvsu+VWpEygjWB4Zp5y2aepoZHmZNT10hjKJmBgapZaYGlraKYpnUJ= gWagWKVlJqRohAvOpJDKskUgKRsenMMKjq7MLTwksISEh88UyI7OL2ESCxoZG6lxFWkUjzchMrt= A2pOLXGJ6eZcHXdLW10JxK4sY1aSX0GZ2do+SHNDW30JT0UEowtriI9JJMzc+Rdl1yriKtFLlMG= oOhVC1TrZVw0zn2791POt9AzosaKvM1S9/4CFq6dLS1Ue96JKSDFJEkZXRhHqykpaGBdMJBCYtG= Mb2wyOjMFPX5Al1NLXhy1evxY8emHxZvf0vrRuD8B8Hhf5IJ9X8OaP5vuqSUtLW18ZWvfIXDhw/= jOE6kpwLa2tr47Gc/y8c+9jFSqVQ831+BdxMXYQJCzdTZi9RGxojKyh/NK1tJ4BexNikWLXsuMu= FS6FhDui6Ptxw5KkWsEhGxuNtWfIS1KKOpnDrPpT/7Frt/9b/Baap/Pz5/1bnzY2Os/96t6GnKm= CcaKVyUjI6TMQGuZ9i3bzdjUzP09g+AMbjKwZoQBxFrVAxpz+GmXTtJ1mV55+QVsqkEk2NFFhaX= qYaGwcFeNnZ30d8/S8oTtLU0gnAIahWUybBhXTdLVYcLl3oJqj4b2ls48fbbHNi7m5SrCE1AeWm= eV168xI6tG3CFRmFQItJUJTxFOiW47eAuEp5gYWmefNIhlRTs27+f06cH8cMS6VSSLZs3YL16zr= 93CUdq2to72LVDc+7kBRypqc+lOHjTTqTR6GoVEYasXdPMzu2bOX+1j9AIhPa5eO48tx/Yz+zkB= J4wpOsbOXv6ShR8jYeWAmk1TkKxY8dm1MgE/b1jhIGJbfs+SlmM1SgrOXXqLN3d3ZSWz+MquepK= rflVlqohLzz3PC0NdUxPT9HS0sCOHZu5NjDMxOQMvZevML2jiz3bN/D0H30Ta/NYIo1OaELWtDW= ya88Weq+Nsba5jbnZBSoVDQRcu9pPZ1srM2MDrGlq4O6DeygvFykuzkVFj1RYG6K1j8VQCw3aGo= QK6Fpbx+237aW9qZ6+8ck4qd+yddtmkqNTXLk+gNYruriY2BF3Dm4QoP3/ula076sl0erfjSNbp= AJXEugaCWtJGIEbGDxtEK5LtVxDugrhOGgTjf8UGhOWSEkHYx0IDI60WN8nGWddBMJDWRlFMCFx= bYgTa4q0kGgdaZ6UjUb7hIYAseot/EmXEk4Uc+Io3HSaQjqLF2cyKkJCU+XopWuc7O1nYnYKL51= l7boe7jtwE02Bz9sXT3NseBakw6Y1a+hs6+Dq5ctYXWGuNMuMDWnt7KE5lWN0YIjlhUna2tq488= BdrG9qpjg/z/Gz57g8OoQG1re3csfe3TTU1fPdkyco1gTzUzNs27KWjs4cUoKva1wan2RkZIhHb= t5FVzrJqaFxLgxOc//eTWxoyiGMRkhDubyAl03g5LMEQtHR2MlH77yXa/MlUmGArVU4fvUyvaND= zM+XqM/X8bGP3EFrrkDFWl47coyBkTHKITQ1reGOHZvZ2NbEO9eucGpkHL8i6G5bS1tzHVevnCW= d85iYmKRWNWzfuJWP3HKAtCMYGB7l9MXTTJWKlJRHV2c3d2/bQne+gDKRSQ7hs1he4jvvnqRvap= og1LQ2reGmHTvY3tlBrbzEu5cvcrp/iDCMxr8fObCPxqZGnnnrDayTYmlqma3r1tOYkoTlInfde= SdKGC71X2JydpL1W3ZzYmCY1jZDW66DiakRXjpzkZH5WRwbsKa1nVv23UR3YyOl+VneOXuGS5MT= hNalu62Fe/btpLGQ58S167x36TJLMyPUFRpZ27WNe/btoUm970D+oPVhVMjf0lop2n40bPe/9Ot= v+3cRF5Ff/OIXaWho4MKFC5w5c4aLFy9y8eJFDh8+zJe+9CVee+21952smBtQSJEJQQQBl57/Lo= lahGCKstiiZr2+IUTWCouVkYXbIsFLIB2XRGMjoQC/qjHlKn61il8JqVVrBL6PtTbGLWncUpmBF= 16i94UXsaVyjJOKgn+jUI2fMdmmdaMvVLR/sgJtIjs5MbVgeGyAmZlJbFDDlQJHRs50z3GxOhLC= hn5AqVSiY00HczOzCGvJZRIRMkdGgtnQryGFibLQrOCZr3+LsFZDWYfZqRnGhnoxYQXXqbF3z2Y= ee/gBNm/somfdehLKQdiQvuvX2NC9lmw6idUB0oQkXIlfK6ODkHQqzUKxhh8LpGu+z9BgLyYo4y= qDDnwmpsYZHh2MHHcoFufnGBvtR4oqwmr8ao3udZsYGR7Gr5URhCzOzzE1PoauVbC6hhSWK5eu0= tO9nvr6HEoaCAW5dBIlNb6uIqVBiChsZXRshJmZcYKwiusJBAGh8dHWrEZwzC35LCyXuOvu2zCO= wCqFkKBUJK533SRhoAmDgHJxibHhXiqlWRKuQRKyaUM3lVJAws1EYyI3GeXKCcHi0gJDw4OUKyW= WSiWUk0BbhZIurpQEZR9HKSrlMrcfPEhf/wAmrEWxD6GNhd4G4cQhwYQIxzI7P8XwWB8T0+Noaz= BGIySMjY0xMzMdA7g/4NL7O2q+rXjkrHj/a1WgFM+GTIwrM8YilEOgQ6QjCTFINzaV6CgKJ5Q2o= nYoC1JjpcHEmiwlDFaGhMqihSIUDsJNRHcjbWK5ekS/MMKN7ACx1CISwRMxZX/C13pj5EPVhowt= zHNpeJQrIyNcHRumWF2if7yPb7zxOvOJBHtv2sfa7i6effcEr56/QEkHXJ0c5cTYMOmWZtrXtDG= 5tMCxvqsshAEbN2+joa2J777xMm8NXKO5ex3bd+ziQu91Dp85zVilyvfPnufUQD9NPT00bFjP2/= 2XeKfvHFNBhWNDgxwbHqKtq5XOrk6k5+HbACM1y2GVEwPXuTw6wkIYcrS/nyulCr7jRGYzq/CE4= tBNuzHleb754gu8eORdBqaKbFu3iY/u20uHMuAXKYcB9Ws66NyyjiOXT3BsdJBxa3j+0kVeOHGa= jnUb6Ny0ievlBV46dZzpapELExOcGh0nUZ9nTUcTM0GZ1y+dZ94KNu7YxbpNXbz41qu8fa2fsZr= PyYFRpioBG7btJNvaweuXrnJ5fAbfxm5UYxEi4NzVs3zn3SO0bNjA+q2bGC4u8PK5K4zpgCPXzv= Dm9Qt47W10btnItYkhDp86zoQf8NqVK5wZn6Cru4P2ziaqwuedC2fpX15i0q/wbu8VRhfnqSjBy= cFhzk/NMqd9vvODw1yZnmXz9l1s3biR3qHrvHLyJEPlMq+dPcPZ4SGau3to6l7H0etXONV7jZHi= PP/h+6+xmEmxY+8+cm0t/NXxU1yeWY6jT378R9uHnbefo3VjF6+9vZ277rqLnp4eHnroIdrb21l= eXub555/n8OHDvPLKK9x3331R9+1HbsTSWqrjk0wePUlm5ab3I52vG/twq1mhApyEh3AViYYCIp= smmJjDxUSBqtbEt1kASbgy6kHgzBS58PR/IJMt0P7Ew1gvsToOMvLHawP+/i17wwGLxr9CSqSMH= U6hIZWJAkZLpQqzc/Pcc+gjTMxM0dHVzOjEYqQHEYpzl6+jsgXa1nQxMjiClT7799/E0OQE6zdu= 5ehb72CkpRbC1b5RlrSDMRKLi5fK09TcjHBLhEGRWuDzr/7N/8XOrRvo7Ozi+sAExiaZm6vS2z/= Otsd2ImUKSwK/psmns/i+w/e+/w4PPvoomUITFhfluOTzBVJuiuHhYXwdMD27xPjYAooEfiDJ1G= XI5DOY0GdpcYFSWfPKiy/x2BMP4p64BFLhpdJksjmahcvM9DihtQRa8vLh7/OFz/0D/uTaNYpLS= 3R0tbN7706mlzXGhIwNDxAaTSqbpclCpTzNcrmKcAzScbFKEugAgSCUHm8eeYdt2z7DzHyAdcAQ= sr6nk3VeitvvuoM//eq3cFN5pCOpq6tHpVIMj45x68EDvH3kBMViiSc+9hj/8duvUNM1IEJxLS3= 5jI3NEQYS/Cluz+5l2/ZN6MCnqamF6fkiCWWZXyrzzeee4YmH7+PUxetUSpFLU8eFru8btLFIma= FSTlCtZBgZWiSXakCl06A8Qg35QoEQh0p1HG2DSO/0d9Vq+5G1SvJcFXbG17zQq0GzyoDUEik8t= PAI3GhUqmwYoaasxbU6dqzHHX/hREYUEQuQTNSxt8ZBiCiaRceTYilUnEEYOxqxCBmxcq20+CIy= B4iYb/mTHqfIyBBi0Ph+wJWBfhKVRVwgk/R4cN8OLl6+jLIu9x+8lS11BUIsfbMVjh87xv3dj6K= 8FJvXbeTxO+6gFXj7ylXcQh37du9jX3c3GytTvHfsOLu7N3PvvptJ1qoM9vUyPjHN2NIixwd6ye= ZzNK9dT0iAO3yF3skJtmwKqYg023ft5uO3bSMhLZcnr6AdwHFoyefJZxMMjA7QXpdjdH6W9k3bS= ebSWCEIY6rF/p7t6Afhcu8IZ0+d4uKFs/T09HDz3n1UpMBNeNy2bTv37LsZnyqXTx1nZHKWjZss= 3zlyhEJTE4X2TjLSUhcuMXr9ClOlZYybYNOWrTxy2x10egnevnadVDrLIwfuoCObwQ8XGOvt5dT= lS+zc0s2OLZuo2S7KCPJOmuDSAJMLRcrGkpSChIhc/NZaquUyyVSWDRs2sKFnC0sLJRZLS5zpv4= rvGJo6m0k5KQprOzjVf509t92FTBbYs3sfj+/fScZqRrwa77mWs4N9NLQ001eF2zaspy6dxRpJo= BKMlEuc7r3OE5/9ZfZ3bySrNVtbOxhdKrO4MM/xgeukm5sorO0EHZIaSNE3Nkbnum5sTUOgaVq7= ls31LeQbBqhLriQr2B/bDP6wePs5XEEQ8Ou//uuEYcjTTz9NW1vbKv7q4x//OE899RRLS0ur8SO= rwYMy3jQHPoOvv0licXHVLv5Bt70bd/kWUJ6LUIpEPo9bV0dVDEdp1FiksavUqBUOnTQm0hGhEb= PjnPjDP2S/hY6H70Nkkn9t4fj3folglUMQfy4RhiGOm0QIlzNnL9HU2I5JhUgvxfjMPK+9eQTlJ= hmfXuT6tV4qvuVS7wilZc0bR09SaOig6Fv+9Bsv0dbaQiKb5wfHTjE6Oo22hsNvHqWsE4TCAWkY= HJ/CTacRThIvDbXlKs+99D0WS5ozl4epXwPVQHPy7DVKgce7p66yVDFMzpYIrYdUgoofcOTEBeY= rlh+8fRwpXBbny/zFX7yM5xXAuhgUr71xioHRmcgBZwUXLg/QsFCPlykgSmV84/D9t95jcr7G99= 48QQ2P4clZ8r0jqGQWR0tqRvHyD45S0ZLekUm+8ZcvMFcKKRVD/uxb36G5tYVkIkmxuITWgtNnL= lPIZ0l5GVxnCUmIsJr5hTJnz1zBaI9zF3opaSgWLd/69mEc18OvGU6fvkxrcwE/lHz9m99lfHYB= 4Uh6h6bxkhk85RHaSfqGppgavYZQLiXjACGuo9BhSK1W48y5y7HLTFKtBRx+5VVy9a0IR/Hnz32= XhWKFpAdvvnuaydk5Xn3zOBoV6cWcyFVcrcAbb5wk1KBDw+JiyNGjF7HaY2R0EpJJAt/hzTfPks= 15pJNJXM+FahC9p2O34t/9ujFRO75JyBvzsgTCKpSJEEOhlYQqirdQWq/+aBT0oKNcL6GirZ0Q8= fYnjAgDNs47s5FYSNgoEc2isTISytuVzDEbrE4FQiRIFYVZCx1nSf5kr9USdfgSrsva1hZu2b4Z= AXjKIZ1Ls7S8TGtTKw2uSzYOCtra3smrF87gmxBCKMgEdUCayCLteglSyiEL1Buo8w2NJEgDaSx= eGIVXL4U+036Z5XnNe++dxpgytlKl0NwC0kU5WfLpAikBKUKkDQkshCg6Czk2tjUyNT7GqYFBfG= NYW58m7QhCbVAqypZTIsGtO/axb/0WesfGuDQ5yjvXrzHuJNi+bSMikaQgHRqtJRCGnNFUSjV8C= 5NLiwgsR0+ewuoaJb3Emvq6OBYHUm6COsclD0g/ION4FISijuicdNbVcWp2mQDLxMwU5y6cJtvW= Si2Rx69UCYwgAEIBbnxyd2zZxeP3wYVz5zl7+iz1mTx33Xo72q+xWCkzW1rm4oUzEApqpQq5fC5= ybweW5myBDJATIe2FDF3tLVweHqROJqgmm+no2ETGgmsjyctcLaRoDF2tTdHjlGJPVzcbreHk2C= Az1RJ6ylA9eQo3rEGlQq5pDXXJLE8+8ijvXbrI8y+9ANJl24Yd1G/bHF/fP57n/WHx9nO4pqene= eWVV/j93/992tvbVzmqxOzSHTt2RDEHrhvfKOMCzkRp1cHsDL2vvw5+dSUq9wMLuBj+FEVdCHCS= CYQjcTJZEo0NVFScBSeIRiHCYEWELbHJBEGcCC+Idswslzn+R1+lag0bH78flUq/j4r6WVkiAOt= E3YP4yCUTaaqBxnMdBgbGGOibIlSRI0pal3MXL4OMRk1WSFAuY5OzuBLKy2Xml4epacv43CLTU9= P4notvLEnpYU2JK32DBDYRx40YZhbmmX1vHuEoqjqIAM7a4OKyWA6Y7etDKUXv8BC4CcphjfdOn= 8PaTKRD0jUcJRgcHSfEZXRsAkyAkA5HjlyKgmTDqKo+f3lsFZMmCBkcnmBwaoayrZJ0NKEvGByZ= xJLgSt8YoZR4Nc2xE6ewysVYibaCS9cGsUikVZy92IcUFmkMw+MTjE7OYXDRQRVXQX//UGTGsQF= aJ1BSYU2AH1jGRqcBh6GxSbSUKJFkYGgBhEQhGB4dZ2h4AiEcAl1DeElCbTl3qQ8TaHAktRAGRi= YwtQDHE5w+dxGrDbU4wsXiMzo2ihYChEdNh0xNFhken0cogZIWbT3KWnF9cAQpDNcGh6NAUQuBC= LAIghB6e/sJMSQ8xfzCEsuLZRxXUKwsElTLaO1x9dogjqxipKGmBVpEqfZC/pSVMZb3mbWG+CPH= xeJihIqKKhPiGYOyYtW8ZEQELFM2jNyDcayOFjGmKe7Suya+t8TBy64lAopTA6Hjx0SbCGkk0oC= yEdFWx5EYVoRxN/AnLd5EhH0CEgrWNzVyS8+GVU2SS4lUOsH8UpGyidDmEphcmsXNpEnKJMJE0g= ne39YhjUXZOCfOGKTVSPU+S9WVCuMkCEWUQrCtdQ137dyLazVKaHLZDCqVJvTLCBuSBJKAYyTSK= ISV1LkemxobuXztOhfPXmdz+3o2NzaSsgYpfYQIWfY1/+7Z17jt4O3ctK6VPZt6WLe2mWUUb48t= k1trCaQXBxPHRAFbJakiqUc2maStsZ6HbtlPwmiEtNQlXTLpBAmhCIVHBH0DITUhASEWH4mLQ7V= awXMzTC4VeeNSPz0N7dyxYw/TVnD56gCBCPFXzkQYcV+lcLn94B1snZmjOj/HkcvX+Kt33+O+u3= bjKUVPaye37TlIAYlnDdZLkk6lIh2kDuPzIEmnC6xf183J46dZCJO0FurobKzHrSwgiQJ4HUfiK= pdipYZJR5luk0vzjBar1KQkmUywvr2LO3fuJWUMSSzZTI5UIsX6dT00NzYQzE4xVJznz4+coaF5= DR/t6fr/7Ed8qHn7OVzpdJpMJkNvb+8qo3RlpHr16lXOnz/PAw88EEWcRKyEaOwQg5GnT5/D7x1= EGf1DyI8PXHZFTyLxUklwHWQ6Ra6jAyedRCRchOchki4q4WFSKdIH97H1t/4p237ni2z7nf+Wbb= /zW2z/nd9m1z/7Irv/q08j6vOEoYnzgX7WVG9y1VkbLYEf1JBSYK1h/fp1JJIeEsPBW/ZRKGRQW= LrXrsV1o3yvvXt24zgSbQyH7rqTbMpBxiOgu2+/mYSjoiBIo7n95j14yQRIiSsFu7ZvpLW1gBKW= LT2baG1qAq3Y2LONdDZDS1s7Dz74ER5+6G4eevAQe/ftRDma/TdvJ5mwONLnzjv28dCDd7J7z1Y= QGtfRPHT/ndx3zz0kUzl8IwmFQitJgIPVDio07Nm+nqam+qjTKCRdazq45eabo6PiSNZ2rUMJyY= aeHh584H7uuuN2splkpOMSUYimsRZrozFZZ1cTDz/0ALt378KaEE/Buq5OHnroYQ7dey/ZdBJHC= oTRNNVlOHTvIR586H5a1jQhPNi1bR35XBorEkjhcPuBPTQ05tFSYrVl9+7N5LJJrDExiDsFJomj= kmgdkEwk2bN7Jw/cf4iu9k6kULhKcsv+3TzyyAPcd//dJFMOjlJs2rQFrENTQxP3HbqbRx65l7X= r1uG6DjfdtJMtm3vAGLo6mmmo93ClQamQfTdt49EnHuDggb24niBfn+be+2/j/gfvpqOrBSF9Gp= uz3PfAR7j11ltxXRW51ZRahYbD353T9IcvdRmNN+Ng1CgXzYnQSCKKwYiCuUM8W8O1AYIwLroEo= ZBoCVoKtIxUtdJGmVyOiYw7CI2RGi1iKobVKKvj36MjNBwSrEJaiWMEjo4wfKsid8xPTA0TCKRI= 4FqFGwSkdUjeQN5EXbQUgs3dPczOTHK6r5+yMQwVZ3j72BG2bdlCUiRIykQUzL8COQhDEqHGjTc= 9KxMQa2KutY0IPFYbGrNZugoFylNzNCTTbOnsYmliisWxEZI6IKFrJFXUGRSBxdWStPVwQ0sKy8= bmZlKZPNemF2hpbaIzlyEjLK4wKAwpx2OxuMwzz/4lw4tLBEBxeYnxviHqXJdCUiGMjjaWRGxRM= MjAJ2ctuzrXUBwbIZtKsb6jC+EL+i9cJuH7iHIVGepV2YvrCJaWFuidmaBsFZdnpjnf28/m9esw= Qcj8wjLJZJqullaWpqdYmBlHiQgFGE2BJEK4vPba6zz37HOs7+xg18Ye6vMZ5ktFsvkC3S1rWJ6= YJRHA9o61iOUlRq9dQgUBolwho5y4qyVRKsGahlZcv8by0CDbW5qpV5KElHhW49mQjkyO9oYG3v= jBG/jAbK3GX731Om+fPkVDLkdXoZ7q9DwNiQwbO7uYHZ9mbmycmZFRvvonX2VhociujZvZvG495= VqNYq0Wpwh+iMf6cP3IKhQK/PZv/zZPP/002WyWQ4cO4XkeFy9e5MUXX+Shhx7iwIEDqx25iG4Q= NXL14jJDrx9Bzi8htV2FuP31Ld4VL2j8HQGpbAYchZQu2eaWCEAcUxZEnFhNxxp2/6MvkL9pL0p= 6sQf1hsRMG4VTCuVEmUQ/Q003AEwifl86K2lMOI5CmxCpLNu29TA9PUlaWB76yB3MjU1AtcyurT= 1MjPejHMkDdx+k7+JZUoUsjzEeKHwAABy9SURBVD90N8XZCc5fG2Lr9s187KFbOXflKrWgQnMhy= ed+4XGWFr/JhcsjuAJu2rGRjgfv4v/5d3/CXQd3c+S9kyzPL3PT7t2cqC4xOzvH4vQ4jz56H6++= +gNKi2U8aXng0J0MXRlFS8v69iYmxobwi8t4Eu65+yB1hQQjwwskkpLlWoiXzFCplVHK4hiJh+H= eu29iaGCa5w//gFLgs2PTOu6+8y4mhkepVCps27yB0dF+Nq5twdVV6lIe/+SXP8+//6NnmF2u4K= iIMqGtIO26PPWpx/n+qz/AS9bhepamQpb777+Lt468S2tbO5//3JP88Ve+QTKZ4guf/xRvHTtPe= blES1uBiYU+Dty8kVL5DAuLFerySZ566n6effE1Xn/jFGjL3bfup3j4VZYXfRw8dBCl9TpuBBxf= 39nMwZu2cPzEZXKZBI6S7N65lZ07t/D660dZ272OVCqF9SR79uzkat8wbc11bOxq5tzFAUStgjA= +D9x3O7oS8qcTU2zoamZ2KeTKwgL3338bjW3NPP/yW2zt3oTjKJqb89TXJxiZWMCv+XgePP7Re+= m9cj0KWhUCGUcAKaX46YS9xdQAYTE3dMWlZbWLbuNRl1TiR7YyBmlDjDQYaQmIoezWQxkXaUR03= xBRMK2RgpqKu/yhwEUSWg8josR9rIMykTFBxbWsFQKsGyHmjEXa/5KPQonAxbOKfCjIBAGuCAhC= ouwxpdi2dgMfva3Ksy9/l5effQYtYM+uW/nkbbfh+TVU1SeFQxJwgWSoyYUaLyZRWSNwhYMXaBz= ACIErBdlahS3ZHPV79/OdVw/zr778bxGOojGX5qmH7yWjBAV8kkE5+j3KxdOWnB/ShkvBCvJ19f= S0d3CtJOhubiAldMz0dRDWIYni1z75OP/x+ef5H/6X/wnjuVhH0t66nicP7seYZfqDJRwRmUuU8= EjJJBlfUwD+8Uce4Ot/8XX+9f/xv5LIFMgkPB47sA/PS5JD4ASWhI6zOquanErw4ssv8tWJCQLX= obtrAw/cso8UlunNXbz06vO88vpLJOobELUaqlghEYR4noPQGqTllltv4dWvfZUv/st/jrIO6Vw= Dh+6+j42OR9vuWyjOlXn6a18jpTzSQvLEww+TUw5NyiNZi7qUylosPq11Wbat7WBkYo4dbfV4WE= ra4IU+ddUSTULyi5/4JH/4jW/w6//yX4B06O7o5NMPP8G6XB2f2HuAv3j1Vf7Nl/9PpHJoymb5p= cceZeOaJjataeCZb36Vp4MiVjlsWbOJBzasI3Wjs+gDPt8+LN5+DpcQgl/5lV9h8+bN/PEf/zFv= vfUWjuOwceNGfvd3f5c9e/b8UI6cjUHz6JDlawPMHj+N4/uxLHmVMhp9RsSGBm7cN6wUfghSuWz= 0OKHIt7RGHb8gQFiFxVLNZtjxxOPU7dyBSGXj0s+uJprbGG9k47BEYSK+5c/S1HRFybOyBGBNJL= Q1OiCTUuzauRWrA3IpiassJqjhEoHYtRUoE+IKQ7VSYnl+hocfPETfwFd4+NBtTI1P4gCO9rn15= ls4d/osO7Z203t9EKEli3MzeI5hz64tKFuLBOJGg/UR1qdaK3L14jkO3XEzVy9fZ2q+RjobpUYK= YxHagB8QlqsszC2iQ0O1GuC1WCbG+1henkdJl8CvoKTFWAsioH1NA2Ojw+zZvYtXvvcaKeViapr= nvv1dbj+whzfefgsVa9McYLD/Gtf7B8kkPQ7eso/nX30zwuvoAEe6YALKS0s01uU5evIsOqixae= NWrl29yJUrl7ja20dbc4rGpgJJ16P3ynmOn3gXYVR0TbsCV0ocK3AU7Nq2gWNH36W5qR6rfSQOy= gY4VuMKMGGAEAopY2C9DVfxR7pWpr+/DykcNm/q4eUXX2JsosjQ8BiBkSS8JEoZjK1FOX+1Cv7y= ItMz00gMhD59fWNsXtdJUhgcIOM5bFy3jq98/RmWfY9j48exUiKVJgzKFIslSsUAjEOtUiOVSnL= q9HmCIATh/tSDq6N3rVnxzMZdfBONNW00EhSxC12LKMRU2mhEuBJlauIIoZWoIhU/LrRgpMDaiG= UZwUGjCa3WEQQ+4iBrhJWRo9QaEAYtIq1S1LKXIMIb7LA/2etESNa1tfCbv/gZ8koijMYRK5xLR= drL8cgtt3Lzrv0M1pbIe1kaEknqPI98IsmTjz3KIhB5ZEMO7trKrq1bSMX5ni2FFv7Fb/xzHC9B= BsBz+K9/4SlqVpIRgjWdXaz/zBcY9X2qQMF1aE94JKXhtz7/FMrxwAqEFGzu2sh//5v/jKSTxkW= wZF2kdNm4ppXOhjpcIXCVi4hsIyigsy7HL33qozzqCyZjt3arcmlJJIAc2z7xJBnHi4eNDr/6hX= +ElAlSjkMym+TXf+HzDAaWIpK8FLR5LjlH8A8fuJ+ycKhzY8yUlHiux+c+8SSpZJIlIWh1XNoSC= Ryj+cSdB7njpr0sGEvCTeAAda5LnetGemwnOvetTW186Vd/jblQUzKWRjdJIZGkgKKtsZ0vPPEp= 7n8ooApkhaA5mSTlOPx3v/ZLOI4Xd/EEjlA0pDI8ed8jaGPIJBwcDIVsPb/x+c9glUuj69DauoY= v/cqvMaprhLi0Og5tySQpoK5zLV2f+wLDfoUagjrXoyPhkVOCJx98gEOH7qHXX6LJzdPqujS5Lo= 61GK2RzgeXaB8Wbz9nSwixSlt47LHHePjhh6nVIodcMplcNS5wY/FlY/bccoWB738ff3yUjLUYK= 1cApjFBIULzipWIEAQyHktEYxCLVyiAchDSkmpvwabTiLmlKCVcaupu3sf6Rx5E5vMrwdRxgahi= NqBYafZFZY/62UsKYRWt8z5qQYcRAsmaCJfU1tKGQJNOJVcF0QhwXY9qsPIxE7FAZ6YmydfVs3v= nFq5ePENTXQEdaJJKsX3LRs6eO82ttx7khedfJbAJrIHXXn+Tjz/xGAkZcUYNAUIYkBBajbEKiY= fWET5KCo0VCmui8OZcLkdraxtTM1XMTIWjx88yMV7gF578GF/95ncZGppFxbExNo7euPOuW5Eqc= hv2bFjLhYv9SCEZGuynrb2ZfMFDSIuUESoqDCPWZ61WxfUSEVwahVIigt77mu/81Yvc+5F7eOrT= m3nmm8+RTaWYm5vHkS6BsZSWi3jKJeklWJqfRwoHbSTKdQl8gyfSKJFAhprtG9rpHRlg2649ZLy= IDYuxWC0wJgJZWyuphQE4BikMI2MTfO/w23zs4x+n6eRx3nj3DKl0gkq5hFSKaqWMm8zGWYoSIQ= xKQT6fp7O9kzPXJqPiJAw5d/Eqn3zgQfr6LzG5NIPnuoS+xhpF4IMnXDQGo0Ny2SStzW309c1TC= wzPPfsCB2/ey6c//ST//itfo1QJkDIam/40irgVD5GyMkZkrbxJY0e5MUhtSOpoNOerKNhby2is= qmxkVpJEQHGEiWJlRAROj/BtAgeJp6P3gxa8DzSyXvSesbW4UIwA40YYAmkiFJOOTBNWhhhp39+= k/g2XiTt5jhC0pFI4sdx8JUnfWicyMzjQmvVozGaREOXAxUcr5SWiAFlCLJqU45JREUhLhxZHSd= xUFk+ACUC6HqlkXBRbIp1XwiGfirBeClAiRAJtqQREEDusBld5OEkHJTXzVvP64BDvXR1g3+Ytd= GTSKDTKqpWk5eiaC0PqkjmSSUlHNPQmgSBBZDZJJ1M4VmEDUMqlPlVAxhpEU/FpTiVJJV2CuLOY= wKJMQMF1yEkXhU8IlESI9lya0mlaM1lcwIaQEGCUQKgknW6Ktastg2hUbvDRykXXJMqBpHTpSmd= o0iFCJVd8/bjW4BpBk5sgl0iuauVWzkUinYqO3YoYyERIrjoFyouQZtJGqsP6VBS27xgfR0pa0h= kayUSPjwASuDIiWOQcxY5UwypgTQIaTd6TZL0sa4j4zS7gWIORkXbvx3nxPtS8/RyulQKOmPCwQ= mGQPypujq8ag8JYTWWgn8FXf4Dyg8h4Ly2hDGL7vyBIuIS5DEFDAd+JqiorDUYKQhG5lpJ1hYjz= gsRtqodMFiMkvrLojnb2fO4p0u2t2Dh/6T8rGP5nqusWGxaEH/8bgog4mGEYlau1muL119/hpZd= fY3q+jJEuWigSmQyZQh0NzWsIEfjaUtOWwAiee+El7rrnEBcvX6aGQropmlramC+WWahoZubm2b= V7N1o4+CZBxYfvvfkWLR0taKkwMopmCVAY6WBlipoWGKkIBdSi7IVYf2QYHBvhrWNHmZmfw7qKd= K6eycki7xw5zk379sawdQdlFRKN53n09GxjcGiS986eZeO2LTjJFIGx1ELL5evXuP+Re+NxmCCw= hmyhjkJTK81ruugdHCIUAkuCmgHhOqhECi3SvHj4NUKrSCTSjI1Ns6FnK+l0gabGNbS2dLC4WKZ= cqrB9225yuTryhToa6hpJemnCIJIG1BUyKKkoVmrMzc1yx20HolBfJ0k6V0c2X4dRXnRTTTgIz0= XjkEjlmF0s88w3nqO9rRMTWOZnptm8pYdEUrJu/RoSSUlgApS0WOMQhoLr/cO88c4ppFJIN0FgE= xSXK7x97D127duPtYrlko/jumzsWU8qIWluakSJBEplGOwf591j71KtlpFSk81lOHXqFMXiEg0N= 9VE476rO7KezbtxTRZ20yAWKkPgqSVnmWVYNLKl6iqoQf+VYdOpZdOpYdupYcutYdgoUnQLLTo4= lN8uim2HBybLk5Fl0Ciy6BUqyQEnlWFYFFp0CS06OJafAslNg2cmz6OZYcPPMe3kWvTyLbp7FRI= 4FL8uim2fJyVFWOZCJH37yP5TW8MHH0sSvzyVAWb1qz5E3PN4Boj4VpLTFs6BifJUjYjOBFavTh= qhbCI4UKBEVMCIAJUFYidA6MiegEdaSkoKshayFlAbXgELimJAE4SrsXtiIahKEVU6ceJc//ZOv= 0lmo4yN7dpMi7obGbl8TdzSFdFBAEkseQ876JIwPRscWlKhz5qr4OVtwtAFjkIkUwigyQJ7o+Xk= WlFAkpMK1IcqGSELqkh6t2RyekGQNJDWkAGlCBAYHQdIKkgGkAkuCEIUfd6EEMpL2Igw4GnLSJW= sgZQwecWBzLFhJWE2GkBQBLhahNUmin9O6hjEGIRQKQSJOPnAiGw0SQcLG50xKjDYk43Ob0dHz9= kTU2JBCkHIdUmgyNhoRSxv9HmEljrHkDGQMJE2Ic4P28cetDztvP6frb0JtEBioFrn453+OHhsl= IaAmoxR4ncog8nlEcyNNmzfStmUTuUKeI//2j9H9/UhhcKLJB1oK0k2Nq4mWiXwBr1BPRUKYTrL= zyU/QuH8POuFGHbboPr96Ef+sJYJ88JJRtptd2T0pwhhMjXSZnK9Q9gWhdhidWKTih4QWrvYO8f= FP/gNqGl57401q2uIqh/HZGgOjC7x+5AzDM1XWzvtUtaaxvp73zlzl1JnzTE8vsXPnbsyZXuaWy= 9RCh76BaS72zlCqGTSCuYVlamHkC61qw/jsEoEVYEN0CJPTRQKjMWha2tby8U9tZrlY49vPPseO= bRvZvW0bvl/iuy+8jK9DlBubSUJLXXsr75w8zxtHT6NUyH33P0gtCJgv+oTSZWB4hrGJMkvFCgC= lquGWO+9jb2g5cfIU13oHQAcI140AG8aSzqZ46PHH8BzD0Og4S6UyS9eXWLNuM08+9WkCbTh69E= 0WlpcpV8tc7BvjqU8/SS0wnD51ioWzs4zOF1mu1cjUF7jQP857Z64zNL7Aww89gnCPsrBc5p5Dh= yjVNC+//CpjEzM4xhL4PkoJ2jvWctcddyCU5LXvf5/QWN45doqPf/RRdu67Gykt3/72cywXK0zM= FtEIaj50rdvMJ9ds5f9t79xe7bqqMP6NMedaa+fk1njaNCZ4IY3aRktFS7G2SakVRAKKIhQKIoj= /g5eXPvggxVf/Bl8F23opUp8UKvpga6mColKKWE1Lb8nea805hg9jzLX3MW1amjTpSccPTs454e= y111r7sr79zTG+8fzZF/CLXz6K/549j3Gq+MPTz+Dwhz6A15Y2v/Enj/wKZ858Ebd/JuHVl17Bw= w8/itVyiRM334ETJ2/Hn556Bn988kncfeoUbtjextkXXsTzz//H8s5qtRBcnwG5jsJ4519J84XH= cxoZ1SdbCoCMad8RvHjjx7Gs54G6AlGBZkWVCqZWLo7Zw7IIEP+yqjgPBvcEEi/v0B2lFS1wYR3= AK/BZpPPoPhso+Vo6gLL9USAd9I1N9ubTllMvEME8HyV71VsbI96czoR1r0Y7FS28OLXuBN5Z15= SIwejmFQZsjkgit2b8Z07dvCBNtHM7lqji0Svc2gEYnNcb67st3HfHKdx9x2mLcWqx4WRHgwQwW= WJf61pO/m+bvNPuMAHzgSb3ACjxhoLn+dip3c67kBMl9/AU9xy/BaeOn0TftjzfPlsHbjshuT2v= Ol/Y3ZiQQYAdevZsKzsOAkDsYaUEJCSwpwAyCHCnEwByGtYPtS+QMKWNR3CTBE68flVteCBEZDN= VN7bFab0F8iYeonZu88Z5vvirlPRyz14KrgmsXqTNuSk4+8QT+PX3vg9+5VUM1x1Cd+wIto9/CN= snbsbB4x9E//7D6A8cRB4GgBXPPvI4fveDh7Dn5ZeRxWbzvrxnwOd/9ENcf89pKBP43Aq/+e6De= O6xx3Dorjtx+sHvoDt6DEjJ3wwxj9aiN8m8udLQJaxFffaBhy54zanaJ/BazaUaR0vf75J1oiYf= Lp27NE9kmKYJTBkpscdKTCBif0PwiBZmlFKREnuavdj9FAsvHYYBy+XKlyqTX/Dt9ikllCLWtaj= iyf1Wj8TJklCJCdM0IqeMjhOIEl569Rz6xRZKrVC1eb3tuFbj0gQ9EUQUKWeUyeY5Dv2AUibLzG= JCTgyoYjWOHo7A9oGhVuSUME0rHNi/gJQRpVYw9XasOSNne/ubptFHv1lB9DDsgUCxXFqpQEoZq= jYuK6eMcZyQfMoCqqBLNmaJUodxEg9xAKRWJFYwK/rO3q2XEwBKKGWFrcVgF3cljOMITtlHb1nd= 1iLbBXeqFdJGWQGYiqDrO5hpIcik6Dp7TLXa8uNUCvqus6aEWjGVgkXfg5lQRDBOFZR6VMFGHA1= 29IXTRazs3/7425f8UlNRVdosEDDxRlqBUoA6AXUEZHR7vdj++TD7Kw7vAXgLyAu/uPNaBZCHAm= +w/q0dYSxiBVcOIqJw3oI3pyqe/ce/cNNXvoTDJ45j/9Gj6K/fRt63hbzYstwvtq5UAkFYcey+u= 3Ds95/Dv3/6c0hZgaogdx0Wh97nnV4C7TMOfeQE/vn0U/j0t76B7siNJhC8I03maAB459q7S8Bd= bjYFHJGPzBIFc2+F3yKYlgXMPP9/FUEtdgEhL9KGi5LR3SEiG+wOVN++LfKklLFaeW2Ud5sQ8bw= PljJhSygi9km6VhN/Mvm+TgVEGbUqpmkEUULuB5RS/dO6OUAgYPIaNqmA5ISqFVLUI0AEq6nM/o= RURa2tcL1DUSBlu5+UOqgK+r7H+XOjFcDnDqXCqlUqsJwmEJPF3LiDW6vg/PkRlBhENs9XlVygZ= kyTIKXOxJ7Y+Zy8C65MEzj1EA+Q7voBZVoBRSAqdl66hXV/dj2WywlEaoJZCSoWSApiVC1YVRv9= xCnZIHY1D4C7HlN1bU8MgWIs/recoAqk1GNVxAqaE0M5YzkJmNWfFxlTqUi5Q934bE5X0roWc1i= SGx3VfR0mBbiAeAHSEejJPyQWt6kYpK/nblwBWus6ebixCzfZmFsdBO8WQrwFF4cAZcatZ74AZD= YLvuvM+/VCXQvyqFaiq4QkBOzbj1u/fj9eeOZpjH/5GzIA3rsHw3UHwa2XjBRbJ2/GbTd8E4c+e= Rs09XOZr0kNRbpqA36uDqoKERMmtVaouIjxpYaUsg0d3xBVQz+gaIGIXcylCqACzn7xEQExueiz= GpaUM6RaL2D25YKpFKu9q9Vr8IoJKSUQZ5xfLtH3vWW05YTlWND3gzUUdNlcMbHtVRFLdGFCKb5= fXjw/DAsslysMg4k8KG3E0hBEbblPXXBYTZAlvoMIRSxQNSsDlMCcUYtaXyKZ8LP6TTbRSwwmBl= hm5w5E4NShVDFXzOtbpiLous6cZxEod6ji9X4bs0FXk0cpIFuQcmaMY0XuBq8TWjt0ObsjmDJKF= eTc23gu7ixwtutm962KmoBpprcKaq0mKlUBZkzV1Chnu2/yUVEixc6zEnImVMFV86sph9IJgneS= 8HqD14WI5iqCRIy0fy90zx7QsLBaBq/lYLSmT0KnllAPIpQuY+9NH8Yn7v8qaP8BTFB02wfR79v= b7gFMjKO3fwq3fPkMtB/ARCDmuZ5ix+fv98C1oA3KJs/oUrNqwJzte+owTRXEHsCrttRZRKDVXJ= 7qjpd4Bl8tYsJFm6PZ3DCrD0qcIKKQarUz7T5bvVSbTStSMQwLc+fYaj+6zsTXYrEF1VaHxCgKU= LLCDlFFzhmtDJuIfGkyW4l39T5Eb2LxxV4zQaxsG6XaciNgIcTMlmMmIj5knC2EleyL2NL5Rc1t= 45TdRWQXgMn2V8xVM7cq+bl2Z1LbPmXLGIO5XpYvaG6RhQVbeHCtAHO2JeY2EYrY3C8/16JA3w+= oVUHJhFtVoFRzldfdiQpV8ckC9riD7NzqXDTDJlY5zW6gUkKxGDyIkC8Xbzy/1qk9QRDsckK8BW= 9Iu+DC66U6YluKIgsCNaHR/s4KiNGG1zMBw4Aj957GDafuRF3sxZ4jN4K2Fp4ZanUk3f4t8LAAM= /m2TfwRMXiufNtRjnpNYrVpZV46Va8nI4YVcacMEUXuenfiGJySTb7wjjCptvxnAswu0uYi2a+l= 1NnN88ruuausLZmKNPfL9sMmb5jzp1qB5m4pUMWE0TgVgBmiasJRzD1kF3BtKTdnd7S8jHy1GpE= 7y/crZQKoZcIRUu7mHkXKDJECQCFSXMerP/8YRTDXqVUpft7sK3e9i7wmAGk+322qSBPLm7834T= NOtrRJLYZCKiCCtFFFrqrglMHs9W1Mfn/qInR9f6vVcha1IAanPJ8PEQGDkJnWU0lcWLKL7PUrw= V517bkgChejJvBE1cbbvQ7X8usoCN4rxLJp8JZ4s3qPduGzX1rER0J/+DBOPvA1PPfnv2P7po9B= u27dFOS3MUPjwu3TBT9cu6hag0D7eT6fZLlnJl7gDQcmpPz67zl7VpMm1hZl2wFsibGd77T+rPa= G5osP/SZiX5L7v79U2fxTqFbbH+iG+OF5Xzdvvm6GsMaHlAiiJsaIPcbZmyVsadgNQ3fIWm6M6v= qYVM1prFotCyzZwPKWLTM/JTeeQ5ZB6Pi+cyYIqmW5Qfy7IqcMiI2Ga5JpPVwdIJ8OorVCyR4bW= 6aG90nq+met1mWI9bB4reID09ddkT5AxHMqCFqtoSPRzvOPjf8jAOo1ce14a607H7p5r4Mg2O1E= t2lw2WhPJaX1RVNUQOdfw19/9jj6gwdw/N67UbOPpSHeIVR2U0HwpXSbBkEQBMGlEOItuGxYrY4= tnanaTEOuAkVFOXcOpIpuay/Eo0B2s/4J8RYEQRBcLUK8BZeN1k3Y8uHW6VK6jrCYJQ+HeAuCIA= iCt0HUvAWXjU0902bJCQGsBCW+WKVVEARBEARvkRBvwWVjh3jzXLLN0TRz6lR4VkEQBEHwtgnxF= lx2aMfPtHM+XxAEQRAEl0TkvAVBEARBEOwiQrwFQRAEQRDsIkK8BUEQBEEQ7CJCvAVBEARBEOwi= QrwFQRAEQRDsIkK8BUEQBEEQ7CJCvAVBEARBEOwiQrwFQRAEQRDsIkK8BUEQBEEQ7CJCvAVBEAR= BEARBEARBEATBO8H/ANzMJxUv6E1HAAAAAElFTkSuQmCC" width=3D"623" height=3D"133"= alt=3D"" style=3D"margin-top:0.45pt; margin-left:-25.8pt; position:absolut= e" /> = &#= xa0; </= span>= <img s= rc=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALoAAAArCAYAAADPNJIXAAA= ABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAAHrJJREFUeJztfXt8XFW1/3ftfc= 6ZzEwyz7yavvKYJu1A08LwElAD6kflgle9UpVHEbk/UXwAIqJwwSoK+EBUfFz0Xl4KhVZ+6NULy= oVrfQLCAE3bSaaZpNM2TZommSST58w5e6/fH0lq2k6aoL+PRZrvP/nknL3OWmuftfdZa+219xAW= cAQ2NDUZ0QMHxP58nqavVVoWX5hIOAToYyrcAv4q0DzavO7BAP24sdEj4A4K0n7S+nwWdJZg5DV= gE7FgzTaBnmDgpSKyM47jDK5LJPLHWvYFzA/HvaFvisX8js0xInEhmE9ngkuA2rVWI0RyJ4E7ma= kExKuY4AfgB/MIQL8yDN4yQLT7ynjcPtZ6LODoOG4NfRMg1ZpTGhn4JMBnE7CdmJ5VrLsAqhUCX= gaVE9hLLBwNPkDA2ORf3UlMlSTEMmb9y6xJ8Svj8bFjrdMCZsdxaegPNjZ6JZmfE6BLwbxfaP6m= lmIxgH8BuBqgMgBWAVIGkCUgA+admvgn7NA+kkyBsewfz0ulcsdAnQXMA8axFuDvjYdWrw4KmBs= A+pBWvFmCn9BS3A5gMQAPQEcOfmYGABARAD8DfhAtJ9AZEDqllb663O9fCFJfwxDHWoC/J35+1l= klkqwvg3ApgGtBuo2l2EjACgBeADRl1C8A/GUocWq2l73SGS+SznjR2MSwjzTOY+Zvg3kIgJ+EO= FlI4+c7bX7HJlwoj7WOCyiM48Z1ebCx0Su1caOQ4iPQ/G0Q/CD6DAAwWAOUJc1PKOCO1Lb4jg2A= 3gCI6Bve4MLQ0KQB+/2qzOWyz9myxfleNFockEUXCUG3AFQBYExDr2vb+tL/bFhIQb7mcFwY+m+= amoyegeFzGbhXM7aD8YIQdD0AF4A8AwnN+mOZsezLgWGP4ZS5Qm6tq6TURYrEJ5hQSqybBeOxcR= b7LBgjDvJLi7a//HLuhJNrpKR7iXAaGGO25rPWb3+p5VjrvIBDcVx8at8RDFaCxffAxET4MYFuA= KEEgA3wUw7bH7q0+ZXtl2cy4Npli02pL4PABhaiBER9AGeZyQsh8iRQJ2Av9rvk751gEOMqNwFY= TwpJSwi0Wgo68/3hwMbNvb0LOfbXEOYKRmfO+DzjGs/Rng/7//BnzMVrNppC8hTiexAbAMFKvhn= ENQS+h5muAnGQJtV4yjHwkfXx5m4AQDS2WBDfCHCWIN47ZHDyI/G4c99JJ5UWaTqfma4T4AkS8k= 8jSv1p3OUa9eZR9YEd8a33RU+91iW1AuhflFF0EoDfz6bokiVL3CWmWc7MNDA+3tvT0zNWQHZRU= 1NT5hGiRI6MdDf39IzO0WeF+vZv6dNCz5mLR6H3fgRNLBYzx/r6SvOG4fXYdv+2PXsG50lb6J4R= iUQqAcCyrAOJWRbxChr6kiVL3MUu11VE9BYQmcy8VWv9M0F0EojeCoBYyouTyeQwAESjUUvl8+s= E8C4QBZj5BTkxcad2ua4A0Zkg8jLQAuZREFUys4+F+NrIyMj2rq6usWg0Wsy2fTMznyqIMpp5Jw= OCiJZB6/yEUh/1Oo5HFxV9FUT1YO5WzA+UBAJPjw4OfoiEWMfMQ0z0tDTNe2cquygWKyKbPwdGP= wAQoQYgAeBlm+0Pr483HwCAnzQ2LnE0f5NZv8Jj1ncuST2fnXorZsk4GsigdQT9rwJGj9bO21jI= +1zMd7DEGABcnnhh/8Ox2DVwtBdMlzHwBzrsRa2qqVmupbxGACYDeQCBUElJpb+kpG9nKrUeAJq= amoz9e/asAtHHAUARCe3zldSXlKSlbX+nZffu7lgsZo4OD3+ImN8JoJSBV5hZgrmMmb9uFBVt5X= z+UhC9lZkrQLRtqu+LGajTwE1tbW2vrFqx4mYApwNgaN3OQvigdREBt7W0t28HgFXLly+Cad4Mo= npmvrk1lXpu2sgaGhqqSKnrAJwIoi4F3GoSLWat1zMQAdF+1vq7yfb25wCo2tpavwv48OjQ0Go2= jKxF5LUtK7AyEilzgEtM4BwG3g5gMQEdsO1/a9m9u7upqcno2bfv02A+mYk8YI5POM5XPYZRp4D= PE9AGogZt2/sa6+q+3tzefuBwmy6Ydens7MxZXu+/M7AVzCsc4AdGUdGfvePj/8nM3yKic0ip+6= ZzzYlEwh6dmHjMIboTzD6W8o6yzs7shNYPMnMPmKGJvsZS3g4pr9dEX5fMd/o8nh9GIpGyRCIxZ= jN/hQC3Zi6eavcVBdzKQLnH4zHKOjuzkvlLAPpAVC+1TsTjcYeYtwCoYtu+fnR8/IFEInHIKmWJ= 49QwUTUDzzLEOQB5AR5i5u9DyXM3rl570U9Wxy6SMG8kgaSpct+aNvJNF14oPTk6iwx8nVl9qSL= ke3Fd8593CTVxP8O5gZiuZYjyaV4XxeN94xOj65XG1s3RqHemHCtra89nw/gVa/1wTuubhGXd4g= DXMPPNAlg6NVvJ7r173wQhvs1af98h+ixLeR1L+QkCatg0f9FQU9MQj8edkbGxn2hmyUCZJvoSG= cYtEOIPQsofY3z8dHN4+BEA9xKwVjLfw1LePmHbt4B5m+E4PgBw2fbdYN4N5jJofZe0rM8w0QQL= 8eu6urqlAFBRU9NrA7dBa4uAjauWL688OIksWnTAAe4CkNOO8y2fz7fXXVLynEP0PRAtAvP9iuh= FALqurq7cEuIZLcSQFuKz0uX6Ny3lpx3gqik78pFlPcrAZhBVKiHu8ZSW9gHAli1blGd09Ltg/h= lrvVU4zj2GYZQw0SYBfFNY1p221jcAWDwhZaiQTc+WXtTNzc2jYO5iIttxnNFEIpGPd3WNaSF2s= 9a7APzTykjkuqn23NnZOQ6gF0StyWRyeAvgWJY1BqIxAKNElE0mk8Otra39bW1tL7DWNzDwJgO4= IhqNGqlUKguiPIB8MpkcTiaTw21tbTvBfIvb7c5tAZzt7e17ofUXGHBDyvdGo1GThbjczuUuTO7= evWtKhkNmUaHleoAnJPHTIF41ZVBPGV7rofU7Xn4E7PzeIF4L0EUAXa8N9283Np78hXsjJ5Xp5K= 5VUuofMvjRYUu8eM6WLQ4ArEsk8m1bt76ohboVhE88tPrU2ml+VySTw5dsj9+9LpEYmWHk9STlf= zDzl3d2dLzQ0dExlEgkRlKpVLa1vT3OwCtlZWXe+iVLKkmIuxj4dnLXruZUKnWwzxTwSQBeMowb= Ghoaiqd0nSBmxzCMbGtra7+07U0Asto0zx4rKXEIyIJIK8MYSyaTw+l0ejDnON9SptkOAHmPZ4y= JxkBks8s1smPHjoyt9e1grjCITp4yMieVSnUy0TNMpLVp/mHl4sXh6XsAeomo2cO8Ox6P2/F43H= YxD4M5r4UYTaVSuaamJmkSPUlEe0YnJjbu3LmzL5FIjCSTyeFUKtVLRJ8zHKc8kUjkpRAjYLZNr= Ufifymt4HhX15gGephov+HzDVtAOTNXsONkEonESHt7+17S+jbHcbpfjaEfHUS/JeYrCfjUqtra= q5qamg66QKz10DyeoMdsu4WI/hfABc7UDHM4l7q6unBO6+0zFMa4Uili/i6A9dq23wegL7VnT2I= 2RkzUREwHNIs1BAqDeYSZHsWzS/IAILUe0EzjSusrNecrGHS7JnpbkUe2M/GvARE3HPnIR+JxNf= O5oUjEJCVOAuufC3aanohEXLOIIEmID4N5ZHB4+GeFGiRTqWt7e3tHybLeTsxucpytBZplATwOo= Ilsu7rQcwQRE6CJuWCSobGx0WsYhrFz586CxgAAQgiTiBRr3TXzOgFDmug8IrLg8fxw9bJlQQBI= pVI2M49khZg1/tq/d+8aAGsc4FtTA/QQtLS1/a41nd4yG/0M2ZRk7s9ms0prbYPIRYbxnkgk4gM= gWtrbt3d0dBS0v796wWg4l9usgUcg5Sd69u0789VmcIqLi21m3k9EVdK2pz/zBCDcUFt7Sn1Nzd= kG0W2GYZTOpEun0xNQ6pc8OZvdLhzn4dl43FfdVMREXk28j4nFpIzUYzj8wjpsVgCgtFUKojMhn= D9evG3bwAebX/zpiIFziPUDAEkCTnYM/fAjJ556xoONjQfdkcqyMkGCigGx1xbq0b2zrIxGIpEQ= E72TmSd6CgeUB0FCfICIFLndR5QSLEmlFDG3ErMBIYpn3svn8xSNRi1biBOY2ctKJZakUtMD04R= SJ9bX1p6aGxm51GQ+NxKJmDPpmVmKfN7b0NBQZTB/ioFfkGm2Hi6D1rpLKXU5McfyLtf/qa2t9R= 9Nnxm4johIKrV/nu0Lgoh4+ovd2tHRAeAxJvqcAfxiZSRy+pTBFwzA/2pD7+zsnFDAnQwkAHx1x= YoV9ZbW836eYRhMgAKzM6XApDJAQAjxRhLiTQQU7Mhx5iGt9ZMgMtkw3jYbD1fxuB+MUtJwwIgA= ABP2jGs5iqnyXG1SBOB9GhiYpvPYdi0EvRdQ15Oj1hFTGwv97xLmhgcbG8sBwB4ZKQJwEmmne31= z8+hsFYxSSpOY3YUqCwogPNuNLYDWQCeAiUNuEBWbQpynJiYuJqKrmPlHjhBPbwEcAACzQVqfJo= jeJIjWENERCQgiCrCUlwmtHySiQF6pK6YTDYejraPjaU30RQI+ZghxSSQSKS7U7hAIUTpdRfE3g= jWRNgyDATgTtv1RYr6JiIoIeMQArjphyZJgQRH+FqapVKpLMH+BmZVk/q4iKoOY3yNHRkYMBsoZ= 6CS3e9qfZQbaW1Kpu5Lt7bc7wLX+sbHMTLqmpibDEmIFETFr/RCIPl9fX7+4EA+CtgC2AMSnjYi= AAbcYyQHAFwGSEEEi7F3f3DwKAPfEYqZB5jWasStriMc+sOPlrdLizwqmGwRwtknmfz6w5rR6Ux= uLiFGlhN5zND2VUiMMtBORKzK7ezOpPPA8Ay49MXGEK9fU1CTAvByAAPPMFJqtgA4hRAsc5zOju= dyPUqlU9i+dQONsmve2trffaRPdoB3nf1OplHMIX+YJIvq11roNRKebShUM6KYxPDr6KDM/IYFr= DOAMIjKP1h7MLxARGCjkoh4BAkgzH25IpJXSUqn90/Kn0+mJllTqXi3EexjYTERXKss6MxaLHSH= PX2vo0wJrt9+/UxHdCKJqIrqDtC5U9XeELkKIxQBOZeAnZWVl2QJtdCqV6uwGUFNTs3z6YmdnZ6= WQcp0iui/PfDeYDeE490ULVBs6Lu0QwSYiTYRJt4GhJwyDN0VPraxvPOUOBt+kgSWPrDmt/p5Yz= PTlcpXMeItU+uPTpbfr4vEhsbLmqTw57wOj02T9Cy3E+whotrPZvqMpmkqlRpjoVyAKW0C0UJva= 2toVdXV1ZaTUkwy4yDBOPDz1m06nDZIyCqI+sqy/+M/MOcMwWlpSqeda0+l0IR94hizZ1nQ6vaq= mZkmsqspz8GUQjWoh2pHP3wpgHKb5Hw0NDSUzSAWILK01AUBXV9c4C/EFBloA3M3AKq/jzG5Ljv= MjMA+RlO8v5OI2VlR4V9bVnTnZ1MkxkclCVM+M/SKRiMXAOVODXDXU1l49FRTrZDLZRaZ5J4AeE= C3q7+8/gsdRDZ2FOOJ7qyfdk4Mppng8bvt8vmeZ+dqpfOqh/h9ADHjcudxB5isXLw4ZwFUEvKSA= zVPRe0H4PJ7TLCnfgsm8bYlJdDkRxVOpVFdHR0cnE32epHyjXrHigsNpx4AhBvo09CkE7Jq67FV= CmInECwfGc65bGeQIzfWs1d1+G89q6boTwF6xI7J95rPWbd6sLtu6dd9EtuRaofmTTHSFZn7x8n= R64nC+h3eZMT7+Y9a6nYk2TQdx06itrfVbQtymlMrniX7HzH8GcMuKFSuWzWxnGEYtAW8F8NmWl= pYeTL48wpSPPocMB9FYUeHVUt7ab1lHxBTJvXu7mfkaAZwplLpi2t+tqqoqAvNyF3Ngqinv3Lmz= n7S+joARAKePW9asi4+t6fQeDTxAzFesWrHirMPv2z7fx6F1GAC0EEkGDgC4uDeVOvgF0FpXENG= inJRdmAxM89rtPm/6PjPnmXmQiQ6Ew2F1OI+CAWQsFjN9Hk8TATcCKDWIssV+/67S0tKAQXQTEb= 0hHAgMBsPhlkwmo7q7u7Xb49njkrIMQlBfJvPfsVjMtMfH3yiAS4lotRKivDQQOLU0HH4HW9b1E= thMlvWNZDI5Vltb6y8Lhy8VwD+DqCwUCgVKw+G15cHgBRDiU0T0VFko5GbmfyOid2ulfltdW9vS= 3d2t/cFgpSB6J4ALSkMhw1tS0j40NDQCAL/s7rbfV7l4PYNzgGghwrkA2FDy0U8e6Bq6dnWdHh3= Pvx+EZ5Jh30dDo+PtQogPA3CLikz7Vasa0g+k04cYxM8H0+rCysq1TPQ2aBx4f2nw2bmW+3uz2X= FfILBJEq1gKTeEQqFhV1FRalFpadSQ8kcEDKU6OjYODAzkysrLnwZzvWD+VCgYzJb4/e0VpaXnC= eZvAripNZX6DQCjoa6uCUJcTETVxJwrLS5O92ez0361aKirO5OBjxHRamhdEQ6FqkuDwTeyy/Ux= AA2pjo4fBEtK3k5EFxNRJRxnr+V2t+/avbu1LBwWIPp8WSjUtzwQaCfLWkfAlVqIZWWBQEffwMA= BAOgbGMiEg8EdBJyqgU2ZTGZs1fLli5QQ/yqI3kiAKxAKtWQymcH+TOZXpcHgGIjuKA2FwiV+f0= tpaamnPBS6FUSXCKVu7R0cHMlkMmMVpaVtAD6uDePdpaFQpDQcfochxNVa66+lOjpaAKAiFBoD0= caQ3z/gD4XaJfPVAIYc5kd27NhxRHxRcCaorq4uMk1zjWQumhoutlCqw7EsaThOjRZCCiGUMTT0= 8syl6Ugk4isiWry9ra2lurq6yEPUqKV0T41AzUoNUDabTvT2jszkd8IJJ4TYtqNa6yMGHgG5obG= x5uLi4hVC6wAmZ7I+t9+/Mx6P64aamhNIyuBMORPp9MHofuPqk+9jIaIE3APgOwDGifUF729+6f= nNuFA4azpuIsD44Nb4LZuisWXKoHvBfC8EfQGsn9c231xV4d83nUPfuHZtNVj+QbP+THBs+PEUg= E+9ig0XdXV1S02itSCySGutmHtHJiZe6urqmrlDSUYikQYJRIjIYK3HRnO53067JdXV1UVuw4gy= UDLdtzqf39uaTqenDX1lbe0JEKKwr20Yu1tbW9Mr6+piICrGZGpyAqa5IzGV/z+hri5iMy+3iHY= 6QPl0O1ZqILlrV/OMp4lIJFJjWdbeRCKRP7GmpsKRcuXBm1rvSnR07AOgpmQPuKQ8mYQIkNYMIf= ITjvPirl27emaKuHrZsqBtWacSs1cx58x8/rkdnZ2HxGv11dUrpZSrFABi3quE2Jaa5V287qsXN= 6455SRm/Bdp/igk7gIowsw/CIwNffqdqVT+4dWnvFMQzko2v3hzw4lrzwDRWyaGB74eCASKJlh+= moGzwfw1B87vixxXiTL4HgCWjfz7pgPYBbz28brfeDHqjO8WwABLxAB6ngBFRO8adPtrCIAm3g9= g6dKGs7wshE+xftmbTtvveeWVwd7Roa9ohTtAdKXBxscdg+8CdBWkumLByP+x8Lov0/15b29uW2= WVItAFzHgQhHOYuRJE1ee7rcfNYs84KX5rEfh3WqI4r3LbL+ntHQaAJzMZ9YHS4F4Nq5cEfZmIq= 6H50g82v5w81not4NXhdT+jE6BJqF8wWBOjEqxfIiJFhLe7SkKX5fr7R0jgMVtOeAQ4oJU6OFP/= pqnJUMI6BYLvBPAsM13PkmIbjoN+e73huHhhMhLpEZq+AcJ7GPgBwAcAWCTEXUX+0gvz7PzGEcJ= QzKGSUMgBgAsB2T0wfCOk/D4zbpVe83KjoWaTnRv7aX10zSrGhuOi714veN0Ho9PYFI1aebPoPV= LppYBohxT3YbLEYFQzvuHkR+4m25Id7c19y6vX+twl8mYG4nLAenxd57OzLsIs4B8Dx42hA8B3I= hFXwBNYkVdml9uw/0mAvw1QEOA8A38WQn9CCJEeAOz5HEj0nUjEVeP3y/Pj8fHDN1ks4LWF48rQ= Z2ITIJ3GU99G4O+BsByAJHAvA38gjY1KqlfyeXN4tVv3nzKjYOueWMzjy4mwlrxIAqeB0dcaKv7= phqOs7i7g2OO4NXRMlSc8vHbtGsHyaoDOBzBVEsw5BqXB6BGEZo3J7XJikiZM4LUM+JnxG2jj5o= u2P98zB6sFHGMc14aOKWO/f+1av4vliQS6EuCzAVo6a+qVOc/ANtZ8m+MYv72s9c/9f3ehF/Cqc= dwb+jQ2AKK2sdFtaHcxGTk3KfMshnoTAx4QKybsF4z/0TZSpigaTpS5sgvuyj8OFgx9FjBAXzys= fzZMBpwLQecCFrCA1yYK+qFNTU2GYRjhUCjkbcxk8um5zxKUtbW1vnA4jEwmoyKRiCsUCoWWmCb= 1jI7OeUh+Q0NDSSAQCCwOBIpLwmFveXm56O/vn5NuWs4qv78kUF7urqiocHp7e4+oRT4csaoqj6= e8PBgKhbxer1dns9l5uSBNTU2GZVmhKT66saLC61+82B8MBlUmk5mT7xQoFouZ3d3dRzsI6hBUV= 1cXBYPB8JJgsLg8GCwOVlSI/v5+Zy76WCxmejye0iqv19Wbzebnyy8SifiCwaB/6dKl6OnpmdeP= HESjUSsYDAb7+/snAFBDQ0NxOBz2VVdX293d3fM9i1JEo1FzPu9wGrFYzPR6vWGfz2cNDg7as+l= Y0NDz+XyRW8prBXMju90vdg8PH1XZaDRqCqXWEfNp1bW1W8XwsBdEN9mWNdg/MHDUrWYAUB4KvV= kqdZoW4gqDyK+1jkzXuh+NLp/PF3mkvFMJsUQw17HjjE/XSh8NxZWVSw3mG4goYEq5JlxWtqe/v= 3/OvLnjOC6T6AqtVCQYDrfYLtcaofV6w3G2903VwM+Fqqoqj1BqfYXX29Gbzc5rIaoiHD5dMJ8L= Kd/FQiwj5hXFPt+OwcHBow7QUtP0Q4hPwjRrA6HQK/MZjNHa2mWa+WxTiLX5XK62KhDoPTA4OGc= Bm9frLTGAW8qCwc4T16zpHx4aulBofVbecbb29/fP63i++vr6sFLqDJ/P1zWXbtPwu1zLhBDXGU= TB8kWLdsw2SAouY3d1dY1ByhcF8EL80DrpgkgkEnklxO9AtHIkk/nnlXv2ZFmIP5UEg8/PR1hSK= tmya9f9EMLg8fFHpWU9ZVnWnLNPV1fXGEtpCKJn9Pj4Y2ya8zK2tra2DhBlR8bGHgbQy45z+nzo= Ojs7x1nKX0khLiGlTpdS7pBErTkp5/1rFyWmWcHAybqoqH6+NKTUvjzzQ5qoD0r9Xy3lE9XV1XM= awrY9ewaEEC8rIZ6ZrU57JtZWVwe0ELezEE9XLFlyvyFlryPlhxtnnH4wG9Lp9CARPcFCXN2zZ0= +NVOp3eeb/SiaT863ylKT1Owyt3+smqpgnDbzh8D4AWWbeMdtxdDharYvQet6fD0zudh8iov8WQ= py9LRI5WxANxg87C2U2JDo69kwX5uddLqelpaX7aELPBAHQzO+Gx/Npx3HmXTpLRJ4St/t0AOeS= YcxrQGJqkwOAr0ohrtC5XBRAXhzlTJMC4tYI5sc0cFJ1dXXRfIha0+m0z+eb/KoWFeWTyWTX0bY= fzoQC2FRqXm1HtQ4RYKZSqeEtW7Y4DtBBQHRiYsI9H3oYRpq1vl8JcTWkDBv5fKEzJQuiurraZO= Z+DexjIUpfZaKEpZRH1fH/a2GScJwD0PouAr5EzPMelX8riOjJvON8zeVyDb4KmglFtEcKsdhxn= Ff1Y1taiAM2cKs0zZs1UPcqSCWZ5tkwDEsAq10u11F32/+9YRqGg8nZlADAxUxMpEzTnJePzcxU= AmwjorhmfrdjWXN+CaZRJMQyAC4QdWuiN0cPO9JvnqDZ3PFZDV0LEWQp5z0QtNZLtBDRll27OvP= MlzDwrlctJLNLCDGfUwQOgidPB7MBwLbt8+c5ExBPbhPMMnCfS8rPRKPRefG1bdsCgPb29l2k1A= 8Ik+fFzAcrq6vPZqUeHRoZ2aKZ98FxGuY72eRyOUHMYdu2X9UeAiIqVqZZPo+mSHR07NHMj9fX1= l4diURcCjiHtP7Gjh07MvMgByn1wTGlPNI0HwJRt0VUOg8yYPJEtfVS65cNl+txAdSIfH7eEyUR= WZo5sDISOWNlXd3aQsddFOy06urqIsGsofVISSAwNFdgEIvFTDU25lVKHcgMDfUPDAwMeYqLnx4= aGpprh/xB1NTULLeUehFa6/6hoXnNzMuWLQtKoMXQGiSE33CcZN/QUMGDdw7jVQGl2g3AqFy69I= WRTKZdjI/zPIJDs9TnCwhm0Tcw0H/imjWpwWz2j36/f2SuzEIkEnERs5eYx1jKYcnczVqP+oLB4= fkEXm63u7iIebeSUmUymWHM41c1qqqqPG4irRxnuKKqKjufbEZ/JvNcaSAwILQ+wyZ6Zmd7+665= aDBlM5ZS/RAi39LWlinx+bZP2Pb+bDY759cyWlZWLAxjPwFDeeac0LqdHWeob2hoTtfH7XaXkNZ= dUqk8hBj3jo+3xXfuXPjRtAUcn/h/Opzn+3pUliwAAAAASUVORK5CYII=3D" width=3D"186" = height=3D"43" alt=3D"" style=3D"margin-top:0.4pt; margin-left:102.75pt; pos= ition:absolute" /><img src=3D"data:image/png;base64,i= VBORw0KGgoAAAANSUhEUgAAAEoAAAAmCAYAAABj5g1QAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz= AAAOxAAADsQBlSsOGwAABZRJREFUaIHtWl1sFFUU/s6dmd22FApKicFI2rLdZKtJTTZGTYUUfVA= fFDUaJcYYfRD10QRNSCQ8gCHxwZjwpPDAUyVEIiYaXiSoMRW10RRsClZaQm1LBezvtp2duZ8P24= Wd2SndZXbrNvZL7sOcc3/O+eb+nHNnhIAMV7U9QuFeCLcBIigc15WoQyb5cX3qh6FcRWO8ZQvI4= wDW54jnlHDnnxd6j2QF8fi9rWnqLwFsKmLcLAjgjMDYf/GPc18D0D69aoq3bCO5B8AWAIX6RgBX= FfCJm5aDAwM9I2q4qq2NiqcgeLRIkgDgDk29ywZPDK1uX19A/VJDADyk6ZxojCde9hEhTc2JJ0m= eBLC1CJKy/dZrYLdY7Ni8+b57lCjsBmCGNDZGJ/1YiD5CQUQUiDe8ZLygCNkZ2jdBK5TepTT046= EtJS1RvDt0P2EgqPc8t/8tADeE7pdYq8G3TEBU/phIUzCxQFMFss7TThQELHbZLoYpAHMBtpHAa= gDRfFVebclsNx5JmlzINzEArgGQy4kAMIOmpSZwxrYiTyk6nsHXiMkZd+4uutIJYO0t3QwL4TuG= rv7Cth0nV6yUQbHsgwK+yOKXlSbRyfTMdq1Xe3xTyqBp2o0u8A0E6/wNgweisGHs9Hje6wBwufr= hVarUcycAQuVEInPjfX09tl/XGE/ofMsKx8DAwFiQvKkpMYW89ZXBAuIV+LFCVIFYIapArBBVII= oOxqLKcdO0Jr1SprQgb9NdbnAt7ShXTQSFGkUT5UzrCavG3O6acqOtdrTraj1SCmP/S9RFo6Opl= POsFsnjpWiiNqIrhRR+LZl1FYTu7u5pINi3lT2qQIRJGJcKRoBsCUJeLyqaqFQqUtPUnGjTAivL= ltZKi+ZGSslzy1uioolidGYdtTosxIYbN3KiwaAZxfKeuhVNVAaUQi4UCZwtpxUVTZSylYYZmP4= 6AGbnr35tApdEGQcQkMSXChVNlG1zKmLKGIB63wk9CsgBikyY2h1xq8zf+s+dG/3fElVXpyZnHR= wl+S6AqhzVKnF5sv9iT185yclFxcdRBtVnAKZ94joaeCmZTC7Zi74togiogFKW43p6OnpJgEsAX= J/qucF0OlKGIVVQKfqNjKK9drjG3iE5y5aAY4K/INVZ8tRmaKgr1RRPHAbxIYCaHFVLrW23XgF+= DPied1toaLh/rUTmnhcNy68rmqjZmvQaA/hg/oI/i5Qtsm+hPCksHDonDZh7fURF6MoryWTy566= urpIQZZrOnS5lP4V1fl3RS0+oZZ7g6M0iEaOMaUWtZQ2KyFmQnuVH4Ilr19xVpRqHpIC0vL5lSs= Vv5gDQ09NjC/gpRGZ9qk1GZK69VIcSM5MgEMuCKACYg/s9BJO+cEBR49VkMhmUOJcUy4aowQutI= wC+9Z9+FGy9MumE/yK8CJYNUcAxV0GOBHw9XhcR++ly+xJ86iliAO3Rfp+4AdUc4T+WKxBZ+ish= WEr/ZLsyxszplzVAqLEDyeQhFHb6MRaLRR3H+xXcNE2mxTAV/eHavD5AJqAkojV2hz+IHIZNiFE= lZHUR/pUMvb291xubW44DfBPwxDoPxMZn4n3A74t0IQK0aLE6xLQ8M1ADNODWUjwhyA2Y85uj57= 8igOsJbPdXJpD5RSIvFNBwl2aGUWk5SsXX6CWqyhXuAPD+IrmfMJNgP+M3N6eR3xECgJKF34Lco= virukIZX9TNEsA0nW4KhvIJkedisdjNlOZ0PQFO5veQqVy4b0gJcEoR6qOQKQABjDpaToXoo2Cc= P39+SiAdANI+M5pdsR68+XyMQnxVAt/6RfM9dTVVc1SAPYBcLvLKggBSADoNhZ1Ts9cHQxhUDAi= lPxfkXf2aAF7PedYK6cMiso/AX7fh2xSA7yDytuvOLrb3rSCLfwFffxHjz99mHAAAAABJRU5Erk= Jggg=3D=3D" width=3D"74" height=3D"38" alt=3D"" style=3D"margin-top:0.85pt;= margin-left:263.25pt; position:absolute" /> <= /span> <spa= n> <div style=3D"clear:both">= <img src=3D"data:image/png;base64,iVBORw0= KGgoAAAANSUhEUgAAAuYAAAACCAYAAAAU0xnuAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxA= AADsQBlSsOGwAAACRJREFUWIXtzjEBAAAIA6Ctf2h9beADCWiSCQAA8KHfAQAA4FhSMQECHc0EN= AAAAABJRU5ErkJggg=3D=3D" width=3D"742" height=3D"2" alt=3D"" style=3D"margi= n-top:-43.5pt; margin-left:-66.15pt; position:absolute" /><img src=3D"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAVcAAAA1= CAYAAAD1eqj9AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlSsOGwAADndJREFUeJz= tnXmwHUUVh7/JQpZHCCayhWd4AgkEAwohEghiBIFACBIMRlGLAlSsApGAWiKre2EhGDAQkFhGlL= CoJOJWgiKLgmxiChFRy0hpBCGyg5GS4x/zm6Qzt3vu3OS+d58v56t6de+7M3369Okz3dPnzukLj= uM4juM4juM4juM4juM4juM4juM4juM4juM4Th+zD2Clv+s6rVSHOAZ4V6eVqODHwDdrnHc+sBoY= 0fsqbTAflK9t1WlFAoYC84DvAXcDM4C9Oq2U6M+6tYsN8YkMOBnYJXLsINnqImBwG/VsiTOAA6T= oKGBmpxQBBgELOlT3EbJBp0nZYDJwYo3yE4DFLdR3SQfavYUGit7u77ryNwMWAZ8FuoFhwBxgbh= /r0Qnd+guFT9RlMHAY8AvZN2SCbhK3Bk4CprZZ19qcqw7bDxhTcd444N19qFdv198X7WlnHXOAP= Wqc9+6ag3AnmQ6c0mklAk4CLihNMkOBKRshs1193xu69Uda8YnNgFOBNwOfiRz/guQBvEODcJ/T= BTyh2/EbS8fOA54DrgZ6gEd13r7AZcANwDc0MIfMVLmp5EvUqcA2wJck40TN4nfKYUYCXwSmAau= Ag5vUv6uWDikdynVtTHsOUZm5mgmvBmZF2tcDfBV4WMsbSnVMT+h0LHB7EJJZVLLBNsBC4HrgbF= 1UVW1HenxY9l0QzOrlcpMVPpgb6FtuQ2jTL+scdLEfqfJTgfnApcH5zXQ8RXYI2zpOdTyiCyLVl= zMT9ZbLl/0ppdMwtXk8jdTx5ZjsiUHfzwv0iPl9qp3NdIv12WzZZprscqIG4Vt119vseMoPUjYP= r6ky5TalZIQ+Ma1JX6Fw10UKBRwDHF6SMxK4Cxii/0/TyrzPeYsu8EF6H3KOLuaCM9Wgq2WgXYG= LE3J/oJjHMA3g52mAKeKawyRna53/Vr0uCWIusfp7gOEVOsTq2tj23KKBpAtYqos4bN9Y/T8FGK= 2LZ3hQx6SETpOAa+SEszRghTYYBXxXcfEddSFWtR0df1gDZ1F+bEW5y2XTqjYUdr1Sx7rk3Jmce= IZkLAx0aGbTaySnaOtoTe77A9sC76voy1i9sfKhLat02kmxuRTNfDkl+8xgMir0iPl9lc9W6Zbq= s8XA0ZJ3DnCUJuZxKld1PCUz1dflayr0l3KbUjLKPtHMf+bpekGD97jS8cnA5/Q+A26OnLNBlGM= PzZgO/BZ4FbijdOxy3dWh+MbOGhCuBe4FXgf8MiKzWzP2g8Aa3ZK/FzgOeEZfzKyRobdTJz4gw4= 4Enqyof6VmwJQOsbo2pj3dqvP7stFmKhu2bxZwBXC/zvmPPi/qeENCp1XA88AK4J3AVSUbzAW+B= vxa4YC7mrQdOda3gIeAl4AXVGes3DAN2n+taENBJt96VrLuAXbQ/7/TRfkrndtMx9G62yFo62zd= qdwJPK42pPoyVm+sfGjLKp1M4bDYlx51fDkmO/TXUI+Y31f5bJVusT7rks63qW//DSyXXqtkr6r= jKT9I9XV4TYXE2pSSEfrEizX8Z1tNAAZ8XN8ZhWwO/FHvd9fKfFVEx5ZpZXB9jWbkR3ULPV7LyQ= x4D/CyZplxUvJ2zSYrdREfA/wmInd33UWs1v/jgU8CH9VMVCw/HlcQe40GmUnq9KEV9RexppQOq= bo2tD1vkvON0Sy9SOeG7dtGsscq/nOlOr6ooyeh08saWKcCJ8ghQhvspYHvADn9iiZtB9gb+JF0= ma9wwn8T5SYBP5OuqTaEfXqHzpugCbno5ycVr79P5zbTcbIumP2Dto7Xa5fu1EdU9GWs3lj50JZ= VOq3U3f5puiY2Vyxv75q+HJMd+muoR8zvU+1splusz/bSxLIaeBvwbeD1CpUMrXG8ypfLNi9fUy= GxNqX8JfSJbWv4zwKNUbsCp0cG16c0KI8BPqEQR1uoO7hOBP4FvF2z0yu6kF+Rka8A/qHGPq3ly= RrgL5qtipl0VET2FC2lC36s4PN3ZKjf6/NngX9q9kQGeQnYsqL+LTTzpXSI1bXZRrRnHy3Hb9Js= fnOkfcs1g96oJVzxKFtRx52J9nfLAS6XjN0CG3TpjvUK3X2u0YBR1XaAn+sLyhuAPwA/1Oexcnu= qjqo2FBThgMHqg81lh0L+7oHvNdNxB+Ax3c0Vbf0RcJYmr8d00ab8JlZvrHxoyyqdXtXjPON1wd= +gZft9NX05Jjv011APIn6famcz3WJ9tq8mzDG6Y1yla/0/snez4yk/KNt8WOSaCom1KeUvoU88X= sN/CvbQCqrgnbpR+ZMG358Cy5qEfJwOMUhxoN5geznfCMWYDtUSqi84LYibDq9xvuM4TtvYUcsx= Cx7paCcj9c32g1o+nlsxQ7ebL+oOaLc+qs9xHMdxHMdxHMfpt+wXPMA+r9PKtIm6Ocqdyteuu0d= AK7nW/TFX33E2eeYrxa7VZ2TbTbvyzOvkKLcjX3tD9a27R0Arudbhuf0lX99xNnkW6tvrFL2Zg9= 8bsuvkKHcyX7vuHgGt5Fr3t1x9x9nk6QrueGK5v+Wc/li+cJh7fWoL+eap/OtWcptjOchhjnKMq= nztWN2x/QWm18xbL4jtEUBFTjkt5FqH54b59LFc/ViddXP1KclP6fQa4NMV9necTYK3BHc8qdzf= Ikc6lQMd5l63mm9ezr+e2EJuc0rmNcED2zFS+dpV+fWx/QXq5K2T2COAJjnltJBrXW7zEtUTy7W= vm/OdytUv5HfX3GPCcQYMrcZN99OFRSL3N8yRjuULl3OvW8k3j+VfT2shtzkmM8xRTpHK107lVc= f2F3iuZt46iT0CaJJT3kqudXhuYcf9Irn2qTrr5uoTyN+7xh4TjjOgaGVwHaP84of1fyz3N8yRr= soXXl0hgxbyr7drIbc5JjPMUU6Ryteekqg7tr/ArjXz1knsEUCTnPJWcq3Dcws79kRy7VN11s3V= J5BfZ48JxxlQ1B1cp2pAPFRLcxK5v2GOdCpfOMy9biXfPJZ/fUvN3OZBCZlhjnKRa1wmla+9MFF= 3bH+BunnrJPYIoElOeSu51uG5hV63RXLtU3XWzdUnkP/nhE476stCx3GcSnpzfwHHcZxNkt7eX8= BxHMdxHMdxHMdxHMdxnAGFLQe7ss0yDwfL1r32JvZlsHKmkrMetgjMwJQR1h9sZoeDPQT22c7qU= UXov5bJjpHH++wAsLvALgTripd3BgqtPOd6Qvxjmx5/X4sMMgte20yoT3YGZGuqzna4Sc/oin5h= sww4osM6NCP03wP1PHQJG6vH1Wbrcbv3Jco7A4SN3NnKXquf2i29r1V2fP6wfPHablrVZ1Ont/p= hY+iPOpUJdbTtlPn2ROTEffPfacqe0vPDxzeWdwYSGzC42rFgt4NN06YiH8uXOuF7ewTsArDzwR= 4AO0jLpcXBMnOyHl3Sqw0CO0XnX54vm+wnYEvAFoB9CGww2Ok655z8fwCbAHYL2MP551DSZ76Wu= 7fpdSbYTmCrwA6Oy43qk+mzh8CuBdtF9V8P9k2wo8Du0/Lv+KDtzY5H5NoP8jCMvRfsnvwu3LYB= uxHsDLDSTllRGWX7jQD7EthK2cHAdi/1RyGvsNnwhC1iNovoDI16R8vG2hbqNBTs85J7oMoa2Ix= 8gLI1YEeWbJLSJ9KeBj8v6xzzsUBHy/IBNEv9wF33ukE3eyH/YU0b0Wh3ZxPExsrZuuXQ5+izy4= LjxfsesK+DjZZjPrhuIFwrb3bp9RA5/HCwL4BNkczlckI0EB0NNhLsK2Cl30C30bpgsvX1AbAbJ= PvCID62fVpuVJ+D1O5hGpRvUV2jwG5SuyeDXaf3bwK7uMbxmNyxYMvAdtDAeh7YYfnEEO2flIzQ= fuPArgLbEuxEsOBHDtf2w7Ig5lrYLGWLss0iOkOj3tGykbat1alHg+Qo2e8+DciL87tF6wKLhA6= S+kTa01A2YevQx9bT8UAwhQPsksaYq50EFmy2Y6uk9+zGOpyBQKt3rk9C9jctY5r9EujjkD0L2Q= rgb9rAQ1i3QgLdwZJoYp5Gmv0bsk9Bdr8+fwKyIp1yJ+0Y9aLy3SdKXgb2Nm2Nt2eTdv0kL2fD9= JPFKbkxfXbL00CzNZDdrH0GtpCMpyFbqba+qPd/D7bWqzoekzsq1y/7a3Devfnvv9uidXfNa0nJ= COyXrQLu0E8Iz173U9nr9UOMmC0SfdGgMxG9Y2VL5zTo9ARkz0P2kFJsRwCLgfcDb83bZR8I7si= r9Im0p6FsWZ+Ij62n4wfyn583Az6S/4y0hb/08HftjqYBmr8oNushgQHKhsZc9SUUpuVN+T3ABN= 0h7ZLnl2fPB+XfqBz44hVt7DEvvztJ8pguppGQZZAt0edztfPSBcCtymEv61Nwm7bLGwzZKxVyY= /r8Md+s28bmd0Os1A5TG0tM7vONp2VPQXac8vTPal2Gjc4ng2wGZEdB9ogOhP0QI2aLVF9EaNA7= UrbhnFCnV/ONZmxzhTGe0dL6Li2rx2kiv0ryMsgeba095bIN+sR8LNAxO3ZdeS7NNxXKngzq/GW= +EY9tpd3Gltawu7NpYMs0q58Mtlrvj1Jc62ywIcH7nnxJbt9TKGGX9WOuRWwsjJHZUC19V4BdoT= jaD8HuBNOTCjYE7CzFdK/N42AUj7isyJe5dmEudz19ivihHiWzeeuWyim5UX0Gg52mMMe1YDur/= FLJnw92s96fqnivBa+p48c1yo3a+yM694F8OWlb5vFUiOvWYL9RYHcHd2hL9VnRHycHnwc2i9oi= ZrOYznPAJpX0jpUtn1OOn75f8eTL8vDG2s9n5aGC2j47J96ehrJlfWI+dmSs1nVhgbB/KMIRD4J= dpJBAorzjJLGePJbl9C9sT8Ueh2iSm1Nauv6fYUPy2Knj9D9aeHDZ/Dk8x2krmScOOI7jOI7jOI= 7jOI7jOI7jOI7jOI7jOI7jOI7jOI7jOI7jOI7jOI7jOI7jOI7TF/wPoFKmQuyjAk8AAAAASUVOR= K5CYII=3D" width=3D"343" height=3D"53" alt=3D"" usemap=3D"#awmap1" style=3D= "margin-top:-41.25pt; margin-left:89.25pt; border-style:none; position:abso= lute" /><map name=3D"awmap1"><area shape=3D"rect" href=3D"http://creativeco= mmons.org/licenses/by-nc-sa/4.0/" alt=3D"" coords=3D"10,31,224,43" /></map>= <img src=3D"data:image/png;base64,iVBORw0KGgoAAAA= NSUhEUgAAAE0AAAAcCAYAAAAk2zLiAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAOxAAADsQBlS= sOGwAAEyhJREFUaIHtmWl4lEW2x3/1vr2ks3UWEgKEhEDYEiaCioJoiLLEiMhlRAmiBgUDPApX0= BFBH3GA4c7gOFyZwSDKoiyjIzAsioAghDUkA2jYjKymCQkhkE56TS9v3Q/d6QQQnPvlfrrnSXqp= t07Vqf9Z67TweDzy0qVL+KUfIQQE/m4k2WpEBt9vmheYIrmZpGyZK2WQkRZeGXy5da1WG4pbl1Z= acdzw6Fbhb5EJKW7c7zbsUsigfBLNp5GW1hlFVRDV1Zdk4eRJ5A0fhpQ3bRD6rgRkDwovCXyWUg= bfAdF88lukvkk6Efwo0aREaoE9dIrSwita5BDi5mMHtCCkQGoSv6ahCVAUBSEESuvZtwNQBvmlx= C+14HkEitICpgiCFji3YOf2ncyf+1+kp3dBZ3c4SE3tREKbBCTareeUEs0vafJ4cbvdeDwefF4v= iqKg0+kIDw9HbzCg16kI5Q6ABWWWUuDxeKivr8faYMVmsyOEwGyOxmyOwWw2YzToW5nyjTJpmob= P56P+egMNDYF/KSXR0dGYzWaiY2IICwsLyiJvsTQhBH6/xvXrVhobrDQ22vB4PISHmzCbY4iNjc= FkMqHT6VrtLejcpQvnz18IgBZAUgkt2BosKaHJ5eFy5SWOl5dz9tw56uqu4XA4MBqNREdHk5zcg= d9k/YbOXTsTExuDoupCFnKDfiVITaPuah0HDxyg/Idy/D4/JpMJTdNwupxERkZyf7/7uatPb8wx= MSiqQAgR8gBNk1itDZQf+4FD+0twOByEh5tQVRW3uwkhBFl9snjwoQeJbxMPSgB3ETRXicTtcvP= jidPs2vkd165dCyhdr8flcuH3+0lP78zAnBySUzui6HUgJEI2g68hhEAHzW4hWtwt8JgGq5Wd23= awr3gfTe4m4uPjaZfUjsjISDweD9evX+fokaMcOlhCaloKv33qSbr37IGiCKRsFrbFFequ1LHsk= 2V4PB5G/sdIBg8ejF6vR1VVGhsbWb9+Pbt37ebMmbOMHDWS2DZx6IIKBbh+/Rqb1m+i8mIlDw54= kPz8fOLi4tDpdNTV1bFnzx42bvwnp46f5MXxL5CU3C7kohrgsDsp3lXMrh076NevP7NmzqJDhw6= YTCasVivHjx/n008/ZcmHS3j2+efontkTxaC2xKRmuztz5oxctPhvZD+cHXRPiZQSq9XGso8+5t= Txk6SlpTF27FiGDx9ObGwsBoMBTdNwuVxUVFRQVFTE3uJihCooGP8Cfe/vG4wPzYCB3WHnLwveR= yBYuXIl6enp2Gw23nnnHbp168b06dOx2+3s37+ft956i5TOHRn19CjCIyIAcDldbPhyA+d+Ose8= efMYOHAgkZGRXLt2jX379jFixAjcbjdnz56j8KWXcLqdvPbm60RGRSCEwOv1sm/Pfjat38gbb8x= g7NhniIiIwGaz4fP5iIyMRK/Xc/XqVWbNmsW+/ft4ecrLpHXtghCS0oOlPDLwEXJzc2lRoxShEN= DkcrNi6TJ+OPYDD/Tvz7p165gyZQrdu3cnKSmJ+Ph4EhIS6NixIzk5OXzyySfMmzcPBZWlRR9x6= vhJpGy2WIlEsvu73VRWVrJixQp69epFeHg4TqeTQ4cOsWfPnlBcGjx4MK+/Np3yo+VUVV4KhYmq= S1Xs3bOXYcOGMWDAA0RFRVFbW8vq1at5//33OXz4MFJKevXKZMXKFVytvcr2b7aFQs6VyzV8tWk= LEya8RGFhISaTic8++4wRI0YwZMgQCgoK2LdvH+3ateO9996jU2onvt7yNU67vZWVBT4orYwOiU= D6YfvX2zn6ryP06d2b1WvWkJ6ejslkCmWowEGCWU+nIyYmhgkvvcTC/16Ix+1h6YdLsV5vCOhBA= afTyVebtzB50mSysrJQVRWHw0FtbS2FhYXk5+dTVlYGgMFgYPgTI+jduzdbNm7B4/Hj92ls3rgZ= h91BUVER+flj+Pbbbxk0aBBz586lurqaiRMncvr0aVRVpXv37hQWFrLjmx24XU1omqS09F/EmGO= YWPgSBoOezZs3M336dK5evUpKSgpHjhxh9OjRHDlyhMTERGbPns2FCxeoqqpq5Zk3gxZMVjU1NW= zd+g1ms5l//OMfxMXFhTKWz+dD07RWiUKGxoQQPPXUU0yZMoX6+np2fLMN6fOj+f1UXb6M1+dl3= LhxKEpgy8rKSgoKCpg2bRrjxo3jySefDMZUQVRUFNnZA6mpqQ3sq2lYLlYya9Ys/vjHP1JbW8uY= MWM4f/4848aNY9u2bWzcuJG77rorlNDy8/NpavJw+XIVDoeD8+cvMGTwEMzRZtxuN0uWLCE+Pp6= 1a9fy1Vdf8cUXX6CqKm+++SYAnTunER8fT1VVFQKBbAVdK0sLDB88eBCny8Wrr75Khw4d8Pv91N= TUUFJSwsGDB/n555/x+/243W4qKirYu3cvx44dw2q1IoTg9ddfJzYmhrLDpdisDQgBLqcTnaIjN= TUVIUTIZZqBl1KGlAGBmqtr1654vR40zY/f78Pj9dK3b18mTJjAt99+y8KFC8nJyWHdunU888wz= fP311/z00080NjYC0K1bN6SUNDbaafJ6aGhoICOzJzq9PhTD+vTpQ3JyMgBdu3bFaDRSXl6Ox+N= Brzeg1+twOd2hWrIZJ12rGgNvUxMVp39Ep6g8++yzaJpGVVUVU6dO5ezZs+j1etq0acPSpUspLS= 1l/vz5IQCGDBnCu+++S3x8PA8MGMDuPd9RfaWG6DaxAU1Jid/vD1mCwWAgOjoanU6Hpmkh4ZvB9= Pv9IASKUFBEICz4fD4URSEhIYHnnnuOoUOHcuzYMVatWsWcOXMoKioiLy+P/Px8UlNTAYnaXPQq= Aq/XhwAiIiKYPXs2Pp+PuLg4FEXB5/OFLL21QptrJ9HqDnODezrsdhobGkhOTiY+Ph6v18uiRYs= oLS3llVdeYfHixaSmpuL1enn77bfxeDwsXryYadOmhQ4thCA7OxuPx8PVujqQYI4xo2kaJ46fCA= nTrl07pk6dSnh4OKqqsmzZslC81DSNU6dOYQoLxFFVpxIZGUl5eXnIJxoaGli5ciUmk4nRo0djN= BoJCwujuLiYcePGMX78eBRFJTYuFqPRSFxsHGWlZTR5AvXchx9+yNtvv83Jkye5du0aZWVlOJ1O= BgwYgMFgwOVy4Xa7iY6KCsjVCihdS4CTuNxOXC437Tt3CKF/7NgxoqOjyc7OpkePHmRlZeF2u7F= YLDz22GP079+fe+65J2Q9QggyMjLw+/zYGhtBShLbJhIVHUVRURFZd2VhNBqJiIggKSkpVFhmZG= SEQKupqWH37t2kpKZg0OuRAjp36cL27dspKCigXft2WK1Wdu3axd///ndcLhfdu3dn7ty5JCQks= GHDBha8t4BocxQJiQno9Dq69+jOvu+KuXLlCmmd08jOzmbmzJmMGzeOzp07c/ToURITE3nrrbfw= er0cPXoUh9NJSmpK0PokzTVtq5gGqqqiqgputztkNWFhYXg8HtxuN36/n4qKCnw+H6qqYrPZaGp= qorGxkcuXL+PxeJBSYrPZEIqCQW9AQWAKM/JU/ijW/3M9W7ZsuSGZ0OomIqXEYXewds0azpw7y7= AnhqPqVBRF8PgTw7BYLKxcsQKH3UGHDh1YtWoVf/jDH+jatSurV6+mb9++pKWlkZGZidfn44mRI= zAY9KiK4N777kEKeGf2bJxOF6NGjWLBggUkJSVhsVjIy8vj008/pU+fPlgsFubMnUN6t64kJiWF= 7qbNpAv5JhARHkFERCRVVVX4fD70ej0vvPAChYWFTJkyhbS0NIqLi1m8eDGDBg3i4MGDFBQUUFt= bi8fjYfPmzRgMBkpKStDpdJhjzIH0IiV9+/bl5A8nmTZtGoqikJeXR3JyMgUFBTQ1NQFgs9lYsW= IFi/66iMGPDqVt+0QQEkVAQlIijw7P46OPP8IYZmTixEkkJiaSnZ1NWloabdu2pampiW+2fcO06= dO5t29fBuYMDBqIIDY+lmeef5bFH/yVSZMmsXDhQkaPHs2TTz6JpmkoioLBYODUqVO8+OKL+Hw+= fvvbkRiMhkDXpVUuUKdMfeXd0rLDdEpLQ9WrlB/9gXPnLzB06FA6depEp06dSE1N5fvvv6e+vp5= XXnmFUaNGkZeXx6VLl6ioqKBNmzYsXLiQlJQUpJTMmTOHhsYGHhuWh9lsRgiBqij07n03lkoLS5= Ys4fDhw3RJT+ehhx4iKyuLkkOHmDxpEhs3b2Rw7mCGPjoUfZghqGGBqip0SG6PogiWfbKczVu2E= B1jRlFUNE1y5OhRZs16iyVLltCrVy8mvDQBnV6HoopAMFcEcQnxpKZ0Yu2ataxesxpFVTEYDNjt= di5cuMCfFixgxpsz0Ol1/O53vyO+TSwi2PmoulRFWmoq6eldEWfOVMhFi//GQ4/koEmNoyVlLPl= rEQ8NzOaLL74gLCwMAJ/PB4Berw8hrmkaXq8XVVVDWfDAgQPkPppLereuvDHzDUzhYaF+mJAK3i= YPx44eY+fOXVgsFhShABJN89O9Rw9y83Lp3K0LOr0+WDveqGafx8u5M+fY8c0Ofjz9IzqdGijKN= Y0OyR14eNAj3H33PRiNBjS1pUshhYaUoEqFK1U1fLXla04cP4HH60ERAq/PR0JiAv363c/DDz9M= RFQEmpBIAaoUlBw8zKCBOeTm5gXcU9MkUtMAQY+ePWmf3J6dO3fy+eefM2bMGIxGI3q9/ga/bom= BKgB+v5+qqipee+019Hodjz/xOIYwUyCN09Jq0xsN9O13H5l3/YaGxkbcbncodppjYzDodajNLS= Z5Q3crpLSeGT1J6ZSGw+HA5XKhaRqmcBNREZGYwsJCBbQiW7KekC0lQ9v2SRRMeAGbzYbD7sDr8= 6JTVcwxMcRER4VirXJDedbyRSelxGZvpLqqGoNBT0RkJM+9UMBf3vsLs2bNCsWNqKjAYoqihOqZ= 5sV9Ph/nzp1l6tT/pLy8nJyHB9KjRw/qr13D7/OhNHdub+oK6lCIDAsPfbfXW4NtmDv3MgNnCNR= fJn1YoGmpSRyNNhw2W2iOuKmXFhqRITVi1Okx6gKhvcnp5IrT2TI7KIsEGhtsIaMRp0+flv0f6E= 9kZCSqqjJ8xBPc178/339/jM+Wr8Sg1zNh/ATGjBlDSkoKRqMxxKxpGvX19ezdu5c///nPnDhxn= Kw+d/F8wfN4vF4+WvIRjfUNdzj5bcZ/BbD/U97gXIfTyepVq8jNzQ1YmrXeirXeCsC6L9fRsVMa= d997DxHhJlZ+vJwPPviAjRs3cv/995OVlUVSUhI2m42LFy9SUlLCiRMnsLvsDModwrDhj2M0GFm= zdCkVp37E5/XdIINerychISEgiMMRGrfb7URERKBpGna7/bbnNRqNmEwmHA4HYWFhaJqGx+MhPj= 4eIQR1dXV4vd7b8gshMJlMtG/fHqvVyvXr19HpdERHR2O1WkOx+04kTp06JTMyMkIDiqqSnNKR1= 2e8Tpv4NtTV1rJ7526K9xbjdrlQVR2qqoYu64qikJzSkafyn6ZTlzQMOj2fLl/JvuK9uF3uWzZM= TExk06ZNWCwWpJR8/PHHjB8/nsLCQpYvX87MmTM5e/bsbQXOzMxkwYIFTJ06lcGDB1NXV0dERAR= jx47F5/OxYsUKNm3adFvghBAsX74cu91OUlISM2bMwGw28/777zN58mR++umnW38rCdLWrVsZmp= vb6u4ZJM3v55LFwpzf/57JkyeTmZnJ0888zaPDH+Vy1WV+rqykpqYGnU5H127dSUnpSHxcPEa9E= afTQVHRhxwuKbnFwppJF4wfGzZs4PHHH+f8+fP4fD7WrFlDRUUFFy9evC1gAGFhYXTs2JH58+dz= 8uRJAEaOHMmrr76Kw+GgXbt2tySsm6lPnz58+eWXbN26FYfDwfPPP09ZWRljxoxh7ty5oTvyL4L= eUtzeClzdlTre+9N7DMzJYcijQ2ib1JYemT3p0SszdBfT/Bqa34/T4eDg3v1s3rSZmpqa22qKYN= WvqiqKohAVFYXRaGTevHmUlZUxceLEO/IStJSKigqcTifZ2dmsW7cu5K5NTU1ERETccQ1FUZgxY= wa9evVi+vTpfP7552RmZlJdXU1OTg7z58+/I2jcDrTAVVTidrr4dtt2Dh8qIS0tUOS2TUoiKjoK= j8fDtavXuHTpEufPnedKTQ0ej+eOm9GqtuvSpQt+vz9UqtTW1lJbW/urAnu9Xmw2G4sWLWLt2rX= YbDbWr1/Pu+++C8CuXbtQVfW27qmqKpMmTaK0tJTKykpSU1Oprq5mz549JCYmct9997F///47yn= BLTLvtRCFCP9s1F7Jerxe/3/+r1tGawsPDuffeexFCcOXKFS5cuIDf76dfv34cOHDgV9eKi4sjJ= iaG6upqevbsSU1NDU6nk4yMDKSUnD59OvSz3i+RoigkJyfTrVs36uvraWhowOfzYbFYSEtLo6mp= CYvF8ou8W7duZejQoQiLxSJffvnlXwWMVhfsm8d/6dmd1mrdt/rf8t5MN1/6f2291vUlN53tdud= spjlz5pCZmflvyfr/dBP9D/Vc3AOfUdjYAAAAAElFTkSuQmCC" width=3D"77" height=3D"2= 8" alt=3D"" style=3D"margin-top:-34.5pt; margin-left:357pt; position:absolu= te" /> &#= xa0; = ; &#= xa0; Nombre del volumen = &#x= a0; P=C3=A1g= ina 1 | 26</div></div></bod= y></html>