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gALKHMi/b3bn5nzpxxb4G4On369KMDj2zavKl8Mu+qrq6ZLSfzNB4AMi/lbgDM8ydn3+6+YmTerLV23gMTicSsLSfzXpe85557fOMCsEREXiwBsJR/cra0tPTt7mtpaZm2WqzAtXljY2Mz19Gd98CxsbFZDyzG2rzIywgXd22exgNA5gGwCJk3V63JvGiPcNB4AMg8mQcg88o38yI8wkHjASDzZB5AuMwb3Ds4cxph6TOvvb19rpY7b+bdd+/f3rDlxtra2vLPvOH9wxEyT+MBIPNkHsB8f3LOtVqsxJmXv+XyZ14QnP3al78S48zTeADIPJkHEC48FjzzXn119iQrUuYtW7bsvnvvjZx54y8du7T10vlfaokzT+MBIPNkHsAiZ16eJCsw8w786kDrqlXTfsJfedWVXd1dn/vMZ6Nl3rPP/jbswGMhmXf5FVeEGj/UeADIPJkHsMiZl7/WCsm8IAiG9w/P/AmfXrGikMyLML808l83YaeJajwAkHkAcc68TCaz4JmXZ9OXRc+8qmw26xsUABKJxMmJicG9gytWrHArAM6Vqk1dc+21s5ZMEAQ7t+/o2dDT1Nw87aX7t217ZOCR//Cf/mNDQ0OotxsdGTlxYqJ3Y2+ozMt/4OjIyJHDR7bcfFMqlZr20sjBg3ffedd3vrct7HVGvtTcXzebb3hPXcinnGez2YH+gXS6uau7W+MBwLwEQTA1NeU+AJxr7Pnn85RM/sz78Q9/FCGflkLm9e3u27R508ybVnjmaTwAAKCgkqmUzMsNoMU+86zHAwAAziP/Srn8a/OiPY+uGGvz8iyHi7w2L/Kl5p4p37e7r6WlZXmYSZvnXZun8QAAAJlXqZlXV1c3eY5sNqvxAAAAmfemzOvq7kqH3IIrcuZ1dHbOetPmk3lHjx596ej/Pj5+/PX/TU5OWo8HAACEsBTW5n36ttu/+e1vda9Zs7A3Zy55bloExvEAAIAQChnNa2tr+8Idd5T/aN76t6+/+867Io/mHfjVgdZVq+b/BLw8N03jAQAA5Zt5l7ZeGm3NW+kz74YtN0aetBkEwaxPXS9N5mk8AAAgYubNNWCVp1gib21SeOatXLly2qXmybza2tpCMi+TySxW5mk8AAAgYublGbAqw8yb9VKLl3lznbbYmafxAACA6JmXZ8Cq3DJvrkstUublOW1RM0/jAQAABWXehRcu3/voozKvTDJP4wEAAAVpaGjIUzLllnnJZHJo31CMM0/jAQAAhcpfMmWVeY2NjXNdajwyT+MBAABLK/PyXGoMMk/jAQAAMi9c5i1btuzKq64sz8zTeAAAQBwyr7W1tbq6ujSZd9+99wbB2bXr1pVh5mk8AAAgDpm3f+ixUO1UYOZ97ctfKSTzQk2/DJV5Gg8AAIhD5uV5Ul8xMu/DH/3IQw88OD5+LFrm9e3ua2lpKUbmaTwAAEDm5cu8HT/bPrPHqqurr9+8KXLmtbS0FCnzNB4AACDz8mXeXD1WYOZ1dHZGnrSZTCYbGxs1HgAAIPPKJfOiPRohd9TQvqFMJpNOpzUeAACwCJk363TH4mVehO0rKy7zhvcPz5p5Gg8AACh65uVZflaMzIv2lIL5ZN7g3sGZ11lWmafxAAAAmTffzJvrOhcr855++plXz5w5N/M0HgAAUKLMy7PLSKVkXp7rXJTMa2trGx09dG7maTwAAKBE8pdMnDLv8eHhf76hp7q6utiZV1VVNS3zNB4AACDzFjjzfvaTn/bt2n395k2lzzyNBwAAyLx8B866Keh5M69v1+5CMi/PE/DyZN7U5KTGAwAAZF6+A+faLSZ/5r3nxhvGx4899MCD0TIvzxPw8mTeyy+/rPEAAACZt/CZl0gk1q5bV0jmzfUEvDyZ19jYqPEAAACZV46Zd/kVV0zbM3M+NB4AACDz5nVg++rVA3v6Z15MkTJv5p6Z8zoqm836xgIAABZREAQ7t+/o2dDT1Nwc6tWRgwfvvvOu73xvW0NDQ6h3PDkxMbh3cMvNN6VSqYW61NxLK1asmPXA555//vQrr6y75pqqqqpQ75hNJE4cP15bW1tfX3/eP9zU3KTxAAAAmbcwlzo1NRUEwVwH/sPff/+pp576d1/8YnWyOtQ7ZrPZ/Y/tb2x8a+fll+f/kzU1NRoPAAAoo8y75tprL2u7LGzmffq227/57W91r1mz6JmX3/3btj35xJNf/cbXk8lk2Mwb6B9Ip5u7urvz/0nr8QAAgLKQW9W299FHZ91MMv/avPVvX//p225f//b16TmmSs4q8tq8aA8rT5RkbZ7GAwAAyivz5npmQJwy77/852/+eW9vqN1i5pl5Gg8AACi7zHviN08EQRDjzDt96tTXvvyVsJuCzifzNB4AAFB2mfdP3/a2uUomNpkXBGcLybzxl45d2nrpzF06NR4AAFB28g9YxSbzoj3iL3dznn32t2NjY21tbdMyT+MBAAAyb3EyL/KT3HM3Z2xsbGbmaTwAACCGmff+D37gc5/5bFd3V4wzr729/dUzZ0ZHD52beRoPAACo+MybuQ9nbW3tDVtuLCTzWi65JFR0lT7zEolEOp3OZV46nZ6cnMxmsxoPAACo+Myb9XELBWberl/samlpCVVri5V5U5OTzz/3/PHx45OTk1XZbNY3DQAAUOay2exA/0A63dzV3T3z1SAIdm7f0dHZMfPVU6dOfeoTW++970vda9aEeseTExN9u/s2bd7U1Nwc6sDcxfRs6Al74MjBg3ffedd3vretoaEh8o0yjgcAAFSARRnNa2lp6dvdVxGjeRoPAACQeUXPvIvr6y+66KJSZp7GAwAAZF6xMu+R/oGZFzPPzAt7qRoPAACo4Mwbf+nYpa2XTnsCeJEyr6OzM8LcyzwXM5/Mi/CIP40HAABUauY9++xvZz4BvEiZF3mJXSGZF+1J7hoPAACo1MwbGxuLd+ZFeJK7xgMAACo481555eVnnn6m/DPv8iuumGsZYR4RLlXjAQAAFZx5l6xc+eqZM6Ojh8o88/LvFrOAmafxAACAypZOp/Nk3ts6Op469NTMsopr5mk8AAAgzplXXV09V1nFMvM0HgAAEPPMy1NW8cs8jQcAAMi8+GSexgMAAGRefDJP4wEAADKvIjNv2bJlV151pcYDAABkXhwy77577w2Cs2vXrXvTObPZrO8AAAAgfkZHRk6cmOjd2Dst8xKJRDabHegfSKebu7q7p7106tSpT31i6733fal7zZpQbxcEwc7tO3o29DQ1N4c6MM/F5Je71PbVqxsaGnL/pau7W+MBAAAyr1IzL5PJTExMvP5/a2trNR4AABDzzDty+MiWm29KpVKxzLxprMcDAADiLJ1OZzKZ4f3D7atX19TUnPtSPNbmaTwAAEDmxTbzzNUEAACWhJdeeunx/cMVNGmzrb097GesqanReAAAwFJxcmJicO9gRWTerw8cCM4GYT9gU3OTxgMAAGRe2WVeZNW+xgAAwNLR1Nzcs6Fn5/YdQTB9lKyqqqp3Y++JExOjIyPTXmpoaPjO97bdfeddIwcPhnq7VCq15eabBvcOnjznCQdFZRwPAABYcgoZzfu3f/3X73jndaHeLjea19Xd1dHZqfEAAADKK/Pe94H337p1a4TM6+jsKPDxd+dlriYAALAUFTJp88c//NH927aFervcpM0jh4/MPKfGAwAAkHkaDwAAIO6ZZz0eAACw1JV+bV7/w3taV7UWY22exgMAAPhT5m2+4T11dXUlyLw85yyQuZoAAAB/mrT50x//ZOaD7M47afORgUfCTtrMc84CGccDAAD4k5MTE327+zZt3tTU3DztpddH3tra26e9lMlk/uaLd3av6f7YLbeEertsNrv/sf2NjW/tvPzyBbn+mpoajQcAAPCmzBvcO9izoWfWzPv1gQPB2WDmUZnXXtv23e+2tbdff/314TIvkThx/HhtbW19fX3hF9/U3KTxAAAA3iT3vPJZMy+PTCbzhTs+f/Xaqxd3bZ71eAAAAG+Se8LB4N7BmWvz8kgmk1/9xteffOLJxV2bp/EAAADik3kaDwAAID6Zp/EAAADik3kaDwAAID6Zp/EAAADik3kaDwAAID6Zp/EAAADik3kaDwAAID6ZV5XNZn2pAAAA5ikIgp3bd3R1d3V0ds7/qEwm84U7Pn/12qtv3bo11Ntls9mB/oF0urmru1vjAQAAFCvzOjo75tldpcw8czUBAADCyU3aPHL4SKhZlKWZtGkcDwAAIIogCIb2Dc1/FmVOsUfzNB4AAEBEYRfLlSDzzNUEAACIKNrWl0WdtGkcDwAAoCCLMpp3fHx85kuXXXaZxgMAAKiwzMvDXE0AAIBClXjSpsYDAABYEpmn8QAAAOKTeRoPAAAgPpmn8QAAAOKTeRoPAAAgPpnn2QkAAABFkXugQiKR6N3YW1VVNc+jCnyggnE8AACAosiN5iUSiYH+gfmPrhU4mmccDwAAoIgKHM275eMfTyaTGg8AAKCMMu/Q6OjvXvxdfX39/I/KvPbatu9+N5FIbP3kJ5PV85qD2dTcpPEAAABK4cyZM2EPyWQyf/PFOxOJxN/++/vmM5pXU1Oj8QAAAMpXbtJmIpH46je+Pp/Ms+cKAABA+cptwZJIJL5wx+czmYzGAwAAWEKZp/EAAADik3kaDwAAoGIyr6GhIX/m2XMFAACgkty/bduTTzw51xYsxvEAAAAqya1bt1699uq5RvM0HgAAQHwyT+MBAADEJ/M0HgAAQHwyz54rAAAAFWzk4MHuNWs0HgAAQAyZqwkAAKDxAAAA0HgAAABoPAAAADQeAACAxgMAAEDjAQAAoPEAAADQeAAAAGg8AAAAjQcAAIDGAwAAQOMBAACg8QAAADQeAAAAGg8AAACNBwAAgMYDAABA4wEAAGg8AAAANB4AAAAaDwAAAI0HAACAxgMAANB4AAAAaDwAAAA0HgAAABoPAABA4wEAAKDxAAAA0HgAAABoPAAAADQeAACAxgMAAEDjAQAAoPEAAADQeAAAABoPAAAAjQcAAIDGAwAAQOMBAACg8QAAADQeAAAAGg8AAACNBwAAgMYDAABA4wEAAGg8AAAANB4AAAAaDwAAAI0HAACg8QAAANB4AAAAaDwAAAA0HgAAABoPAABA4wEAAKDxAAAA0HgAAABoPAAAAI0HAACAxgMAAEDjAQAAoPEAAADQeAAAABoPAAAAjQcAAIDGAwAAQOMBAACg8QAAADQeAAAAGg8AAACNBwAAgMYDAADQeAAAAGg8AAAANB4AAAAaDwAAAI0HAACg8QAAANB4AAAAaDwAAAA0HgAAgMYDAABA4wEAAKDxAAAA0HgAAABoPAAAAI0HAACAxgMAAEDjAQAAoPEAAADQeAAAABoPAAAAjQcAAIDGAwAAQOMBAABoPAAAADQeAAAAGg8AAACNBwAAgMYDAADQeAAAAGg8AAAANB4AAAAaDwAAQOMBAACg8QAAANB4AAAAaDwAAAA0HgAAgMYDAABA4wEAAKDxAAAA0HgAAABoPAAAAI0HAACAxgMAAEDjAQAAoPEAAAA0HgAAABoPAAAAjQcAAIDGAwAAQOMBAABoPAAAADQeAAAAGg8AAACNBwAAgMYDAADQeAAAAGg8AAAANB4AAAAaDwAAQOMBAACg8QAAANB4AAAAaDwAAAA0HgAAgMYDAABA4wEAAKDxAAAA0HgAAAAaDwAAAI0HAACAxgMAAEDjAQAAoPEAAAA0HgAAABoPAAAAjQcAAIDGAwAAQOMBAABoPAAAADQeAAAAGg8AAACNBwAAoPEAAADQeAAAAGg8AAAANB4AAAAaDwAAQOMBAACg8QAAANB4AAAAaDwAAACNBwAAgMYDAABA4wEAAKDxAAAA0HgAAAAaDwAAAI0HAACAxgMAAEDjAQAAoPEAAAA0HgAAABoPAAAAjQcAAIDGAwAA0HgAAABoPAAAADQeAAAAGg8AAACNBwAAoPEAAADQeAAAAGg8AAAANB4AAIDGAwAAQOMBAACg8QAAANB4AAAAaDwAAACNBwAAgMYDAABA4wEAAKDxAGjnmGQAACAASURBVAAA0HgAAAAaDwAAAI0HAACAxgMAAEDjAQAAaDwAAAA0HgAAABoPAAAAjQcAAIDGAwAA0HgAAABoPAAAADQeAAAAGg8AAEDjAQAAoPEAAADQeAAAAGg8AAAANB4AAIDGAwAAQOMBAACg8QAAANB4AAAAaDwAAACNBwAAgMYDAABA4wEAAKDxAAAANB4AAAAaDwAAAI0HAACAxgMAAEDjAQAAaDwAAAA0HgAAABoPAAAAjQcAAKDxAAAA0HgAAABoPAAAADQeAAAAGg8AAEDjAQAAoPEAAADQeAAAAGg8AAAANB4AAIDGAwAAQOMBAACg8QAAANB4AAAAGg8AAACNBwAAgMYDAABA4wEAAKDxAAAANB4AAAAaDwAAAI0HAACAxgMAAEDjAQAAaDwAAAA0HgAAABoPAAAAjQcAAKDxAAAA0HgAAABoPAAAADQeAAAAGg8AAEDjAQAAoPEAAADQeAAAAGg8AAAAjQcAAIDGAwAAQOMBAACg8QAAANB4AAAAGg8AAACNBwAAgMYDAABA4wEAAKDxAAAANB4AAAAaDwAAAI0HAACAxgMAANB4AAAAaDwAAAA0HgAAABoPAAAAjQcAAKDxAAAA0HgAAABoPAAAADQeAACAxgMAAEDjAQAAoPEAAADQeAAAAGg8AAAAjQcAAIDGAwAAQOMBAACg8QAAANB4AAAAGg8AAACNBwAAgMYDAABA4wEAAGg8AAAANB4AAAAaDwAAAI0HAACAxgMAANB4AAAAaDwAAAA0HgAAABoPAABA4wEAAKDxAAAA0HgAAABoPAAAADQeAACAxgMAAEDjAQAAoPEAAADQeAAAAGg8AAAAjQcAAIDGAwAAQOMBAACg8QAAADQeAAAAGg8AAACNBwAAgMYDAABA4wEAAGg8AAAANB4AAAAaDwAAAI0HAACg8QAAANB4AAAAaDwAAAA0HgAAABoPAABA4wEAAKDxAAAA0HgAAABoPAAAADQeAACAxgMAAEDjAQAAoPEAAADQeAAAABoPAAAAjQcAAIDGAwAAQOMBAACg8QAAADQeAAAAGg8AAACNBwAAgMYDAADQeAAAAGg8AAAANB4AAAAaDwAAAI0HAACg8QAAANB4AAAAaDwAAAA0HgAAABoPAABA4wEAAKDxAAAA0HgAAABoPAAAAI0HAACAxgMAAEDjAQAAoPEAAADQeAAAABoPAAAAjQcAAIDGAwAAQOMBAACg8QAAADQeAAAAGg8AAACNBwAAgMYDAADQeAAAAGg8AAAANB4AAAAaDwAAAI0HAACg8QAAANB4AAAAaDwAAAA0HgAAgMYDAABA4wEAAKDxAAAA0HgAAABoPAAAAI0HAACAxgMAAEDjAQAAoPEAAADQeAAAABoPAAAAjQcAAIDGAwAAQOMBAABoPAAAADQeAAAAGg8AAACNBwAAgMYDAADQeAAAAGg8AAAANB4AAAAaDwAAQOMBAACg8QAAANB4AAAAaDwAAAA0HgAAgMYDAABA4wEAAKDxAAAA0HgAAABoPAAAAI0HAACAxgMAAEDjAQAAoPEAAAA0HgAAABoPAAAAjQcAAIDGAwAAQOMBAABoPAAAADQeAAAAGg8AAACNBwAAoPEAAADQeAAAAGg8AAAANB4AAAAaDwAAQOMBAACg8QAAANB4AAAAaDwAAAA0HgAAgMYDAABA4wEAAKDxAAAA0HgAAAAaDwAAAI0HAACAxgMAAEDjAQAAoPEAAAA0HgAAABoPAAAAjQcAAIDGAwAA0HgAAABoPAAAADQeAAAAGg8AAACNBwAAoPEAAADQeAAAAGg8AAAANB4AAAAaDwAAQOMBAACg8QAAANB4AAAAaDwAAACNBwAAgMYDAABA4wEAAKDxAAAA0HgAAAAaDwAAAI0HAACAxgMAAEDjAQAAaDwAAAA0HgAAABoPAAAAjQcAAIDGAwAA0HgAAABoPAAAADQeAAAAGg8AAACNBwAAoPEAAADQeAAAAGg8AAAANB4AAIDGAwAAQOMBAACg8QAAANB4AAAAaDwAAACNBwAAgMYDAABA4wEAAKDxAAAA0HgAAAAaDwAAAI0HAACAxgMAAEDjAQAAaDwAAAA0HgAAABoPAAAAjQcAAIDGAwAA0HgAAABoPAAAADQeAAAAGg8AAEDjAQAAoPEAAADQeAAAAGg8AAAANB4AAIDGAwAAQOMBAACg8QAAANB4AAAAaDwAAACNBwAAgMYDAABA4wEAAKDxAAAANB4AAAAaDwAAAI0HAACAxgMAAEDjAQAAaDwAAAA0HgAAABoPAAAAjQcAAKDxAAAA0HgAAABoPAAAADQeAAAAGg8AAEDjAQAAoPEAAADQeAAAAGg8AAAANB4AAIDGAwAAQOMBAACg8QAAANB4AAAAGg8AAACNBwAAgMYDAABA4wEAAKDxAAAANB4AAAAaDwAAAI0HAACAxgMAANB4AAAAaDwAAAA0HgAAABoPAAAAjQcAAKDxAAAA0HgAAABoPAAAADQeAAAAGg8AAEDjAQAAoPEAAADQeAAAAGg8AAAAjQcAAIDGAwAAQOMBAACg8QAAANB4AAAAGg8AAACNBwAAgMYDAABA4wEAAGg8AAAANB4AAAAaDwAAAI0HAACAxgMAANB4AAAAaDwAAAA0HgAAABoPAAAAjQcAAKDxAAAA0HgAAABoPAAAADQeAACAxgMAAEDjAQAAoPEAAADQeAAAAGg8AAAAjQcAAIDGAwAAQOMBAACg8QAAADQeAAAAGg8AAACNBwAAgMYDAABA4wEAAGg8AAAANB4AAAAaDwAAAI0HAACAxgMAANB4AAAAaDwAAAA0HgAAABoPAABA4wEAAKDxAAAA0HgAAABoPAAAADQeAACAxgMAAEDjAQAAoPEAAADQeAAAAGg8AAAAjQcAAIDGAwAAQOMBAACg8QAAADQeAAAAGg8AAACNBwAAgMYDAABA4wEAAGg8AAAANB4AAAAaDwAAAI0HAACg8QAAANB4AAAAaDwAAAA0HgAAABoPAABA4wEAAKDxAAAA0HgAAABoPAAAADQeAACAxgMAAEDjAQAAoPEAAADQeAAAABoPAAAAjQcAAIDGAwAAQOMBAACg8QAAADQeAAAAGg8AAACNBwAAgMYDAADQeAAAAGg8AAAANB4AAAAaDwAAAI0HAACg8QAAANB4AAAAaDwA+H/t3VlbGvm68OEqilEQcEpi0sle6/3+n2n3WukkDqggY1FQ1HtQvapZCjjE2N07933Ql62CQjz5Xc9/AAA0HgAAABoPAABA4wEAAKDxAAAA0HgAAABoPAAAAI0HAACAxgMAAEDjAQAAoPEAAADQeAAAABoPAAAAjQcAAIDGAwAAQOMBAABoPAAAADQeAAAAGg8AAACNBwAAgMYDAADQeAAAAGg8AAAANB4AAAAaDwAAAI0HAACg8QAAANB4AAAAaDwAAAA0HgAAgMYDAABA4wEAAKDxAAAA0HgAAABoPAAAAI0HAACAxgMAAEDjAQAAoPEAAAA0HgAAABoPAAAAjQcAAIDGAwAAQOMBAABoPAAAADQeAAAAGg8AAACNBwAAgMYDAADQeAAAAGg8AAAANB4AAAAaDwAAQOMBAACg8QAAANB4AAAAaDwAAAA0HgAAgMYDAABA4wEAAKDxAAAA0HgAAAAaDwAAAI0HAACAxgMAAEDjAQAAoPEAAAA0HgAAABoPAAAAjQcAAIDGAwAAQOMBAABoPAAAADQeAAAAGg8AAACNBwAAoPEAAADQeAAAAGg8AAAANB4AAAAaDwAAQOMBAACg8QAAANB4AAAAaDwAAAA0HgAAgMYDAABA4wEAAKDxAAAA0HgAAAAaDwAAAI0HAACAxgMAAEDjAQAAoPEAAAA0HgAAABoPAAAAjQcAAIDGAwAA0HgAAABoPAAAADQeAAAAGg8AAACNBwAAoPEAAADQeAAAAGg8AAAANB4AAAAaDwAAQOMBAACg8QAAANB4AAAAaDwAAACNBwAAgMYDAABA4wEAAKDxAAAA0HgAAAAaDwAAAI0HAACAxgMAAEDjAQAAaDwAAAA0HgAAABoPAAAAjQcAAIDGAwAA0HgAAABoPAAAADQeAAAAGg8AAACNBwAAoPEAAADQeAAAAGg8AAAANB4AAIDGAwAAQOMBAACg8QAAANB4AAAAaDwAAACNBwAAgMYDAABA4wEAAKDxAAAANB4AAAAaDwAAAI0HAACAxgMAAEDjAQAAaDwAAAA0HgAAABoPAAAAjQcAAIDGAwAA0HgAAABoPAAAADQeAAAAGg8AAEDjAQAAoPEAAADQeAAAAGg8AAAANB4AAIDGAwAAQOMBAACg8QAAANB4AAAAGg8AAACNBwAAgMYDAABA4wEAAKDxAAAANB4AAAAaDwAAAI0HAACAxgMAAEDjAQAAaDwAAAA0HgAAABoPAAAAjQcAAKDxAAAA0HgAAABoPAAAADQeAAAAGg8AAEDjAQAAoPEAAADQeAAAAGg8AAAAjQcAAIDGAwAAQOMBAACg8QAAANB4AAAAGg8AAACNBwAAgMYDAABA4wEAAKDxAAAANB4AAAAaDwAAAI0HAACAxgMAANB4AAAAaDwAAAA0HgAAABoPAAAAjQcAAKDxAAAA0HgAAABoPAAAADQeAAAAGg8AAEDjAQAAoPEAAADQeAAAAGg8AAAAjQcAAIDGAwAAQOMBAACg8QAAANB4AAAAGg8AAACNBwAAgMYDAABA4wEAAGg8AAAANB4AAAAaDwAAAI0HAACAxgMAANB4AAAAaDwAAAA0HgAAABoPAAAAjQcAAKDxAAAA0HgAAABoPAAAADQeAACAxgMAAEDjAQAAoPEAAADQeAAAAGg8AAAAjQcAAIDGAwAAQOMBAACg8QAAADQeAAAAGg8AAACNBwAAgMYDAABA4wEAAGg8AAAANB4AAAAaDwAAAI0HAACAxgMAANB4AAAAaDwAAAA0HgAAABoPAABA4wEAAKDxAAAA0HgAAABoPAAAADQeAACAxgMAAEDjAQAAoPEAAADQeAAAABoPAAAAjQcAAIDGAwAAQOMBAACg8QAAADQeAAAAGg8AAACNBwAAgMYDAABA4wEAAGg8AAAANB4AAAAaDwAAAI0HAACg8QAAANB4AAAAaDwAAAA0HgAAABoPAABA4wEAAKDxAAAA0HgAAABoPAAAAI0HAACAxgMAAEDjAQAAoPEAAADQeAAAABoPAAAAjQcAAIDGAwAAQOMBAACg8QAAADQeAAAAGg8AAACNBwAAgMYDAADQeAAAAGg8AAAANB4AAAAaDwAAAI0HAACg8QAAANB4AAAAaDwAAAA0HgAAgMYDAABA4wEAAKDxAAAA0HgAAABoPAAAAI0HAACAxgMAAEDjAQAAoPEAAADQeAAAABoPAAAAjQcAAIDGAwAAQOMBAABoPAAAADQeAAAAGg8AAACNBwAAgMYDAADQeAAAAGg8AAAANB4AAAAaDwAAAI0HAACg8QAAANB4AAAAaDwAAAA0HgAAgMYDAABA4wEAAKDxAAAA0HgAAABoPAAAAI0HAACAxgMAAEDjAQAAoPEAAAA0HgAAABoPAAAAjQcAAIDGAwAAQOMBAABoPAAAADQeAAAAGg8AAACNBwAAgMYDAADQeAAAAGg8AAAANB4AAAAaDwAAQOMBAACg8QAAANB4AAAAaDwAAAA0HgAAgMYDAABA4wEAAKDxAAAA0HgAAAAaDwAAAI0HAACAxgMAAEDjAQAAoPEAAAA0HgAAABoPAAAAjQcAAIDGAwAAQOMBAABoPAAAADQeAAAAGg8AAACNBwAAoPEAAADQeAAAAGg8AAAANB4AAAAaDwAAQOMBAACg8QAAANB4AAAAaDwAAACNBwAAgMYDAABA4wEAAKDxAAAA0HgAAAAaDwAAAI0HAACAxgMAAEDjAQAAoPEAAAA0HgAAABoPAAAAjQcAAIDGAwAA0HgAAABoPAAAADQeAAAAGg8AAACNBwAAoPEAAADQeAAAAGg8AAAANB4AAIDGAwAAQOMBAACg8QAAANB4AAAAaDwAAACNBwAAgMYDAABA4wEAAKDxAAAA0HgAAAAaDwAAAI0HAACAxgMAAEDjAQAAaDwAAAA0HgAAABoPAAAAjQcAAIDGAwAA0HgAAABoPAAAADQeAAAAGg8AAEDjAQAAoPEAAADQeAAAAGg8AAAANB4AAIDGAwAAQOMBAACg8QAAANB4AAAAaDwAAACNBwAAgMYDAABA4wEAAKDxAAAANB4AAAAaDwAAAI0HAACAxgMAAEDjAQAAaDwAAAA0HgAAABoPAAAAjQcAAIDGAwAA0HgAAABoPAAAADQeAAAAGg8AAEDjAQAAoPEAAADQeAAAAGg8AAAANB4AAIDGAwAAQOMBAACg8QAAANB4AAAAGg8AAACNBwAAgMYDAABA4wEAAKDxAAAANB4AAAAaDwAAAI0HAACAxgMAAEDjAQAAaDwAAAA0HgAAABoPAAAAjQcAAKDxAAAA0HgAAABoPAAAADQeAAAAGg8AAEDjAQAAoPEAAADQeAAAAGg8AAAAjQcAAIDGAwAAQOMBAACg8QAAANB4AAAAGg8AAACNBwAAgMYDAABA4wEAAKDxAAAANB4AAAAaDwAAAI0HAACAxgMAANB4AAAAaDwAAAA0HgAAABoPAAAAjQcAAKDxAAAA0HgAAABoPAAAADQeAACAxgMAAEDjAQAAoPEAAADQeAAAAGg8AAAAjQcAAIDGAwAAQOMBAACg8QAAANB4AAAAGg8AAACNBwAAgMYDAABA4wEAAGg8AAAANB4AAAAaDwAAAI0HAACAxgMAANB4AAAAaDwAAAA0HgAAABoPAABA4wEAAKDxAAAA0HgAAABoPAAAADQeAACAxgMAAEDjAQAAoPEAAADQeAAAAGg8AAAAjQcAAIDGAwAAQOMBAACg8QAAADQeAAAAf2dlbwEAAPAXt1wu8w+SJKlWq3Ecl0qlarUaBEEURavVKooi75LGAwAA/nLSNA2CYDabzaazJEmSJPnwy4evX74W3/D23dveZa/435M3J/n/RlHUPehWq9XValWtVsvlnzR2wizL/BkBAAB/oizL0jTt3/Rns1mapu1Ou1KpBEFQKpXq9XoURWEY7nh4PuWL47hcLidJMugP8lA8fX+6XC4bjcZPNeXTeAAAwPcW2s3NTaPR2Nvbe9ID0zSdTCaj4Sgf1o1Go0ajUavVvj/J0jRdLBblcvni/CJf3tlsNjvdzu5W1HgAAMDPLk3T3mXv8Ojw5vrm5M3JY/Isy7LZbFYqlc6+nVWr1f32frPZ/HGjtrwk5/G82Wr2b/qdbqfZbP4fjj2NBwAAPFMcx4P+4O27t2EYpmmaZ97uuhuNRvlaytP3p5VK5TVXUWZZdju4HQ6HaZq+ffe20Wj8nyw9jQcAADzHoD8IgqB70C0+M51Ol8tlu93eVnelUunm+ubw6PBPnKRlWTafz0ul0tcvX9ud9uHh4f+x0tN4AADAkzPp4vyie9Ct1+t3vtS77B0cHqyfaZll2WQy6V32qtXqu9N3f53jT+I4vr66TpLk4OBgvVQ1HgAA8HMF3lXvqtPt5NfTbcy/fPVm8J/dekmSfP/sLk3TIl4ePGnzSaW3XC5n01ljr9FqtTQeAADw0wXe4dHhjnFckiTTybTT7Vz1rmaz2YdfPpRKpSclWZZli8UiSZL5fL5KV+Px+M43fPz08WWvvxuPx73LXqPROD45/rtfrKfxAACAR8mHco85PPOqdzWdTqMoevvu7eOTKUmSOI6nk+lsNtv9nS/eeMHayPHjp49/6x16ZX+pAADAg7IsOz87f3BDXX4vQhiGURS9//D+MbG0XC7Ho3F+3OWf+AKjKHp3+i7Lst8+/1atVovlpn875ngAAMDDgffgEs0gCNI0PT87T9P046ePaZr2b/o7rlLIz2K5HdwmSfLU3+f0/Wkxx3vBvXl3XsX7D+//jus2NR4AAPBA4F2cXzy4US1JkvOz8/UJ2Hg8LpVKe3t7G+vu5vrm2YO7vPGSJFmtVkEQzOfzSqWyWCxqtVq9Xv/+MMubNr9G7283zdN4AADALoP+oN6o378m4U7gLZfLZJ50up08ivILx8uV8p3DKsfj8ffUXW7bfrz87rt4FqertFarff9Jnp///flvd7OC/XgAAMBW4/G4FJV2B950Os3vSyhaKE3Tm+ub/fb++gOXy+XF+cUzVmY+XhiG9frvOZqm6Wg0WiwWjUaj0Wg8I/aiKDp9f3r27Sz476veNR4AAPC3tFwu5/P50dHRju8Z9Af9fv/tu7fFmswkSW4Ht+ub97Isu7m5Gd4OX/OXj6Ko3W4Xv08QBMWM8fHq9XqeeQ9OMv86rNUEAAA2yLLs29dvu8/GXC6X375+e/P2TdE/cRxPJpPDw8PiUfn3vOyZmc+4OyFfO/q80kvTdDKZrNLV32KaZ44HAABscNW72n3iSBzHlxeX67fJTafTZJ6sz/3yu8W//5dpNBr5VLCx1wiC4MEL+u4Lw7B70M0nik/dqhdFUbVafcyizXyE9uce02KOBwAA3DWdTler1Z3jUu4E3tm3s6Pjo3w9ZBAEg/5gPYHyoynH4/HzfoFqtZpv54ui6BlFt9tyuezf9DvdTrVaffyj8pe8vir1/pt21bvqHnSL90TjAQAAf748z3ZcbZem6dcvX9vtdlF09wPv4vxiNps99Uc3Go12p/28I1KeajweLxfLJy3dnE6nQRCUy+U7cZi/Y429RqvV6l32HrxIUOMBAACvZ3elZFk2m83Wr0mI4ziexd8ZeAcHB/vt/VdOo3yg96Qky+9++PDLh+IhSZLcXN+cvDnJP/NgIWs8AADg9SRJEsfxjtWGvcvebDb79D+fiu+/HdwWSZOP+B5/wkoURYdHh9t2x2VZtlgskiRJkmSRLLIgC7IgTdPValUul8NSGAZhFEX1Rr1arVYqlWdM//Ides1m85HHZuYFGwTB23dvgyC4ubmpVCr7+/vrP/rBla4aDwAAeA15wOw4aiW/Cq841jK/B+/45Li49/xJE7x2p71+AmdhuVxOJ9PxeLxYLFarVRRFYRgWG/MqlUoQBotkEQRBFmSLZLFarbIsC8OwUqk0Go1mq/mkjXbB4+55LxRLVSeTycmbk40/6/zsfPeJNRoPAAD44cbjcblc3pY6WZb969d/Fees3Llc4UmBV61W3757e+f+gyzLRsPRcDhcLBZBENRqtVarVW/UHxzQ5eO+eBbnWZhlWblcbrfb++39x1fWcDgMguAxx6VkWTboDxaLxcHhQaVS2fg9y+VyPBr/KXctaDwAACAoIu3d6bsdBVgqlYpTJa+vrzudTtFp52fnjwy8g4ODOyedZFk2GAzyg1tqtVq7037S3QZ3XsVsNhv0B/P5PAiCbrfbPeg+8qnubCzcKB9d7rf341k8HA7Xr464o3fZKyacGg8AAHht4/G4Wq1uW+WYr9L8xz//UZyzkiRJMfV65D14URStX5ieJ9lkMrm+us6yrNFoHB0fPfVy822Wy+VoOBoMBk8qvQcnmcXoMsuy3z7/tuOmhOVyeXt7u35b4OtwBzoAABBkWTYejbcN8fKzIo+Oj4plmaPh6PjkuIiZRwbe+nGUQRAkSXJ5cblYLPb29l6w7n5PnXL54PCge9C9ub4ZDAbD4fDkzcm2q+0KrVYrHyduzLwwDKvVapqm5XI5DMPjk+OL84u9vb2Nv3m5XI5KUZqmr3xYqDkeAADwwPxq0B+sr0tcv1whH2c9eJDm/cAb3g6vr69LpdLbd28fedjJsxUx2W63D48OHxzoXV9fd7vdjW1252qE6XRaKpW2/f5pmo6Go1felVfy1wwAAIxH4x0LFKu16rvTd3kaJUlSq9eK/rnqXT0m8D5++lg8JMuys29n19fXzWbz0/98ekbgPf5uhly1Wv3wy4dutzscDh9ztcPh4eHN9c3GeVgYho29Rn4ZehAEtVrt7NtZkiTbXnh+Bsxr/lOa4wEAwM8ujuPVarVtHWPvspemabGMc/1WgCRJvn75+mDgrU/w0jT98tuX1Wp18ubk2TfI/fq/v+YfNBqNKIoqlcpec+8x9yXEcZzfbvfLx192L6FM03QwGGzbTbd+nkrvspckyYdfPmz8zuVyOZ1OH3Nc50sxxwMAgJ/daDhqNBobv5Rl2Xj8xx0A0+m0td8qduU9uA1vW+Cdvj99kSvCZ7PZeDzu9/tfv3z9/O/P19fXcRzvmGPV6/VfPv4SBMHnf3+O43j3b95o/DGvu+Pg8OB2cFt8nF8cv/E7y+XydDJ9zX9NjQcAAD+1NE13XEB3O7itVqv5csosy4a3w6LNRqPRtjWKhTdv39wJvCAInrc+8zEvZHg7PPt29u3rtx39FkXRLx9/KZVKO9ZY5vb29maz2cZiLJfLxSLMcrl8cHBQKm1tq3anvbsnNR4AAPBiJpNJa3/rSG2xWBwd/75ecTabFQO9LMuur653P/PBwUHRclmW5YH34CLJ75ckydm3s69fvu7YJldk3u69ed1u9+bmZvOrWxvldbqd87Pz5XK58TsbjcZkMtF4AADAa5jH822XFgyHw1q9VnTa8HZYfFzkzTaNRqPT7RSBd352vlqt3r57+2oXCeR7Ba+vrzcO4vLMC4Lgy29fdqztjKKoVqttjLf1UV5+p8J4NN74JMXSVo0HAAD8WGma1uq1bV8dDUfryVSM+7Is6/f7u5+5OJIkCILBYBDH8QvekfDx08eTNycnb04ODg52H7UyvB1enF9sHNZFUXT6/nS1Wu3eVdhsNm9vNwdtp9sZjX5/i7oH3X6/vy3kms3mfD7XeAAAwI81mUyazebGLyVJkiRJ8dXbwW3x8YMrDw8ODorZYJIkg/5gf3//wfvHH69cLrdarVar1T3ofvjlwz/++Y+3795uOzZmNpt9/fJ14yyuWq0eHR1NJpPxeLztZ4VhuG2UV61W5/Hv5Var6e0AOAAAGLFJREFU1aIo2hZytVrt1ZZrlv1ZAwDAT2s62Xqs/3QyzW8mCIIgy7L1c1lurm92PGcUReurNM++nZXL5WJT3/NkWTafz5fL5Wq1yrOqVq+VSqVSqdRoNMIw3Nvb29vbWy6XV72r2Wx25+Fpmv72+bcPv3y4P/Rrd9qTyaR32Ws2m9sOnmk2mzc3NxvvUajVa0mSVKvVMAzff3i/bQdgGIardPU6/6bmeAAA8JPKsmzH4slqrfr23dv849lsttf8fQoXx/Huc0oOjw6LWBoNR/k2vG359OBvOJ1Or6+vR6NRqVRqNpvtdjtfpdlut5vNZrVaHY1GvcvecDjMsqxcLr87fXf6/nTjrr/zs/ONv/mbt2+CINixYnPHKG9/f7+4GmG1Wl2cX2xdrtlqPngMqcYDAACebz6f1xubGy9Jkvyu8NxkPCkmYLvXHEZRVCzpTNP0+vo6L7Fn1N14PL65ucmXU7bb7XxWdie9yuVyXn3NZvN2cDvoD/Jw/fjp4/2lm2manp+d32+wKIryFZs7GqzZbG48UiUMw+JGvvxl3p8i5mq12uvcoKDxAADgJxXP4lpt84ErcRwXTZUv1CzSa3g73PGc60O8/DtP3pw89RdLkuSqd1Wv14+Ojrad+Xm/07oH3dZ+6+bmJo7jMAzfvnt7cHCw8ZnvP3y/vV8qlS4vLrc9/46zMdud9mKxKD7e1nhRFBWb9zQeAADw8haLxbYllNPJdL+9n3+8vlBzW8AUiiFelmWDwaDb7T51leZ0Op1OpidvTh5Zd+vK5fLR0dFyuRz0B2EYdg+69zNvPB7fP2ElDMOj46PFYrHtjrsgCOqN+sYjVdYHdPv7+0UP/1k0HgAA/IyyLCtFu3Kg2Ko3m82KbtndeO1O+4/7EvqDUqlU3Jn+SIP+IAiCpz7qjlarVW/Ur6+v86dqte7e8H5zfXN/ItdsNkul0o6L3Wu1WjzbsNgyiqJiS161Wh0NR1svQ99r7GhIjQcAADxfmqbbFmoul8u95l6xiW6Vropym4x3bcZbv4ZhOBzW6/UnDfHG43G9UX+RKxbq9fr+/n5ejMcnx3c2BKZpen9XYRiG7XZ7Pp9vOzQlDMN0lW77ccWj0jTdtq+vWq2+wrErGg8AAH5GcRxvO1QzjuNiMLW+GS9N090nahZPmB9DUtyg8BhJkiwXy5e6JD0PqmqtOp1O8715d766cZS3395P03THrLLR2DyIW1/G2Wg0tj1DpVJJ5hoPAAD4AVar1cYLBoIgmE1nlervXbd+9ua2C75z60six6Nxft/AI3+ZLMtGo9F3LtG8b29vbzabpWlaLpfbnf+6BjBN09FodOf7y+VypVLJp38bbTsbs1wuF+3X2GtsXNIZBEEYhsXpLBoPAAB4SfN4vm0hZZIkRZ7918c7Z1CNvT/uKpjNZk9aqHk7uO10Oj/iZR4eHg4Gg/yDO18aDUf3v3/3cs0oijaGbrlcnk1/n901m82Dw4OtARb98ATTeAAA8DPaERudbqfYWbeegrtnUMV9dGmaLpfL4ljOB+VB9YxTNB+juL48DMM7Z2wmSXJ/6Wm9UX/etK14P/Ob0LedrbJKVxoPAAB4edtiY7lc3lzfbEzB+1cOrCtWfuaTrscv1Lwd3D5p595TFdeXFzdAFO5vnKtUKmEY7tiS9+DVCNtWwP5ewnuN3XsaNR4AAPBk6yep3JemaTG7K1Jw2/LF3PrBlYvFolQq7U6d//pxq/Spd+g9SXF9ebVavfNb5e1355srlcq2DXXBf2+9W5dPC4v/3XF+5u53UuMBAABPlqZpubJ5beRqtdqYgrunT+uNF8/ixw/x0jQtFnn+OMW5l+32f528snFeF0XRjlvsqtXqg3fctVqt9bfxTiL+6BdbDoLg1//91V85AAD8VE7enGz8fJIkRbDtSME71g9cWS6Xjy+Z2Wz2Co1Xq9VuB7f1er3eqAf9//pSlmV3pojNVrN32dvxbBsbr1T6Y352eHS4NcDK5TiO71/L/oLM8QAAgLXCaTbfnb77nmdIkqTZaj7ym5eL5eNXdT5bGIb5xsL78blxPhlF0Y6jNTd+fn2+d3N9kx/m+acoB0Hwz//3T3/KAADw89ix2nAymcyms/tTvh0bzL5Hukpf5yU/6UDLMAzzW/U2funBd7UUlV7h/MxdjWetJgAA/Gw+fvr4tEZa/ZBoefzOvReJyfvZdn/lZL1ef3DH3YMvqrgu789pPAAAgI2KvXnNZrP+qZ5/PJ1MG41GWPpjovXgesvlcvnb59/uRGa5XF4ulq/zQqJStDFun/GbB0FQbNg7Ojpqd9p/qX8yazUBAOCn8/g51XK5zDMvDMNiCFaKSmEpfJEjIndcxf6yikWhD/7ay+X3bhF8tXDd2njWagIAwM/m9P3pxtppNpvrB11uXKL5jLq7X0358ZvzeB68yhjs8YtCl8vld97Xt1gs/sR/WedqAgDAz2jbKG8ymey+OeDBxiuXy/cPaLlfTfkv0Nhr/Og7wXNP2iC3fv3D4w+bqdfrxcfrl0m8Mms1AQDgZwy8OI43fqlUKhU3g+9YsrjjCJYoihbJw4OsfEFjuVyez+frdfQjpGn6+Osc4lm8HrEPHDbzn3SN47h4FZ1up7g7/v779qNfrDkeAAD8dHasRSwOWcm/bT6fb3z4julWpVrZ+NU7x1cOh8MgCGq1WjyLf/TrnUwmj1+rmaZppfpHoW18B7a9XfkHvcveZDLZ+P0/6AoKjQcAAD+1KIp2pMt6t2y85233wxuNxmq1ur8C887yxTRNkyT5zp1vj7RYLB5/jEocx+WovPsdWH8r8g9m01nxcZIk6+/hK9N4AADwM9qWLuVyudPtPLhHbttaxDwRsyy7H4HrR7kUNRUEQb1R37Zw9EUsl8snDfFWq9Vec6/4zHg8fsz7UBwQmr91pdLm1JrP5y9yHqnGAwAA/rsEtl9a0LvsFVvyKpXKxt6bx/Md2ROG4f0zTqIoujPdGvQHWZbV6/XRcPTjTl7p3/SbzcduxpvP52EYFk24+5KJ9XQsmjlN02D7VsbdU0GNBwAAPNOO2Gi1WkXblCvlPFruaLaaGz8fBEEYhpVKpajEdfvt/fX/TdN0NBoFQXBweLBtA9t3iuN4v73/+BWho+EoiqKi0HYPGIshXpZl64PNj58+bvuJr3AfoMYDAICfUWOvsS3SavVaMaar1+sbjwmp1Wo7tuS1O+35fH7/+ff39+985vrqOsuycrm8XCy3/T7PlqbpaDh6/DmWWZZNp9P1s2F237hQq/8+x5vP5/XG7z9lPBr3b/rbnv8V/mU1HgAA/IzK5fK2q7qr1WpxPkoURRsncts+n2s2m6VSaXg7vPP5MAwPDg7ufPLm5iYIgk63c3N984IVlGXZzfXN8cnx4x8ym83CMCxuWciybPdmvGKHYZIkxRwvjuNtl+Olafr4nYEaDwAAeFrjbdtsVqvVbge3+VQtDMNnbCELw7BarQ6Hw/vN1ul27nxmeDscDodhGB6fHF/1rl4k87Isu+pdHR4dPunczpvrm3K5XGwa3H1rQhRFRdfN43m+vDPLstlstu1QzSRJfvTleBoPAAB+3sbbthAxDMM0TYvCqdVrm7fkNZs7tqsdHB6sVqv7u+zCMDx5c3Lnk9dX13Ech2F4eHR41bv6zkWbReA9/r6EPMAWi0X3oFt8ZtAf7Pj+YoiXZVmxy261WrVarW2Hjs5msyf9ShoPAAB4gh0p1Ww1i6WY9Xp947LM3deX1+v1SqWyMZOazeb91Dn7dpYkSRRFxyfHg8FgOp0+70Utl8ur3tXxyfFTa6p/0y+VSsUJnPlE7jGNN5/P/+vjvca24eEqXb3CfYAaDwAAflJ7zb1tyzUbjUaxm65SqYxHG7al5bmyY2nl8cnxYrG4v6UtDMMPv3y432Bfv3wdj8dhGB4dHZVKpd5lb/fVBffr7vr6Oo7j45Pjp6ZUkiTT6fTo+Kh44O3gdvdDim17k8mkaLz+TX+12ry09c7ZmxoPAAB4YdvOzMwb7/T9ad5vYRjW6/WNLbfX3Nsx7MpHefnJmXe+FEXRm7dv7j+kd9krLs07PjmO47h32ZtOpztKMsuyOI4H/cF0Oj08PGy1Wk8NvCzLLi8uy+Xy+hCv3+/veEi73S4Sd5Es8o/TNE2SZG9vb+ND1s/e1HgAAMDLq1Qqk/HmW+nCMBz0B8Usa6+5l19kd0e1Wt32DLl3p+/y8y03FuD9jXlBEPT7/d8+/zadTsMwbLVaJ29OarXaaDQaDoe9y95wOBz/Rx6Et4PbUqnUPegW3fVUk8lksVg8aYhX1Np8Pm932sXHURSVy+WND4ln8SscqhkEQdlfNgAA/JzCMCxFpSzLNqZRu9O+6l11up38kMzbwW3Q3vAk++39OI63HRdZLpf39/eHw2Gz1bz/Pa1Wa7lY3p+YpWl6cX5RrVaPjo9qtVoURe12OwiC/BfIsmy1WkVRtH6R3bMtl8veZW9vb6+Yv6VpunuIV6lUionfaDgqrmcol8sbh5O5xWLxCpvxAnM8AAD4mTUajW03BDQajTuna25c2Fmv10fD0Y4fcXh0WKlULs4vNh7x0j3onr4/3fjAJEnOvp3969d/5cs1l8tlsXb0pU6nzLLs65evpVJpvc16l73dj+p2u8XDK5VKXm7L5fLrl6/bdtwlSbLt0jyNBwAAvGTj3b/eIJffV16cILK/v79tBeN+e3/HMZhhGJ6+P12tVpcXlxu31dXr9U//82lHto3H44vzi98+//avX//16//++vnfn7/zcoX1nFutVm/fvS0mbNPpdPdxmlEUtfZ/nx/eDm6Lj8ejcbVa3fYqppNpcS6LxgMAAH6U3Wdjdrqd4e2wuAy9UqlsPOgyv1xhx7EoURSdvj+N4/j87Hzjt0VR9PHTx2Jj225pmr7IPen9m/5kMukedItFpGmaXvWudj9qv72ff5Bl2WKxyHff5We0HB0fbXtUHMevcDOexgMAAIJms7ltuWZ+GXqxFLPT7fRvNm9U63a7u88pqdfrR0dHcRxfX11v+1lHR0cfP318kV12Dwdevz8YDLrd7sHBQdFsvcve7glhqVQqFmpOJpOi99I0rVar245USZLkkfmq8QAAgO9Vq9U23lSeOzo+6vf7xUa4baO8KIpKUWn3dXbtTrt70B2NRmffzrYN4srl8smbkw+/fPihKxv7/f6gP2g2mweHB8Unbwe3u1dpBkFwdHRUTD7Ho3E+AMyy7Kp3tb7g847RaPRqCzU1HgAA/Ozy6++25Vm9Xv/9UM0gCHaO8vb39/s3/d2rKA8ODroH3R2LNnPVavXd6bt//PMfp+9PX3YCll+FN+gPut3u+jkrg/5g91ma+VuxvhOvOE5zMpkkSbJtKWaRx6/3D/oiK1kBAIC/r3xBZvegu61SRqPR/v5+HirD4TAPv43PMxgMjo6Odv+4OI7Pvp2VSqXT96cbn+e+PEGXy+VyuVytVs1m8xnb29I0Pft2tlgsugd/LNEsfp8HH14cDJOm6c31TX65X5Zlv33+7fDocNsS0x1v1w9ijgcAAD+7KIoWi8W28U8YhqPhqDiMZH9/v3fZ23Z0SrPZHI/Hu39cvV7/+OljEARfv3wd3g4fM3Yql8vlcrler7darXa7/YzAG4/H+YGcp+9PnxF43YNu8UNvrm+KIV6+vLO4Lu9+Hk8n09cMvMAcDwAACIJguVyOR+Nto7wkSb5++frhlw95riRJEsfx7/eS3zPoD+qN+rZb0df7p3fZm0wmlUrlzds3Py6E8lvO84va37x9s96Hw+Fw2xkwd6K0uMQvv6kvf+35hHNvby8/XXNjWOZp+pr/lOZ4AABAUC6Xd4zyqtVqq9UqLgevVqvTyXTbFr7uQXcymTx4hV0Yhm/evjl9f5qm6dcvXy/OL3Yf2fK8uru8uPzt829Jkpy8OTl9f7oeeIP+4DGBVyqV3p2+yz9O03QynhRxe9W7Gg1H2wJv/VyW12SOBwAA/F5EO0Z5WZbNZrNyuVytVofD4TyeH58cbztKJD9q8vDo8DGLKrMsm0wm11fXq9WqUqkcnxzXarXvOaQky7L5fJ6fkxmGYbvd7h50158wy7KL84sHT9HMnb4/LTrt/Oz85M1J/qKm0+nF+cXHTx//UkM8jQcAAPyhd9nbUW7j8bh32Wu2mq1Wa29v78HQenzmFaXXv+kvl8tSqdRqtZqt5pNiL0+72XQ2HA6zLAvDsN1pd7vdO88Qx/HlxeWDY8bcyclJcZbmeDwulUrFC//878/dg+62Bat5RhYDQI0HAAD8CdZPjLxvOp1e9a6iKHr/4f1j0ivLspubm2az+aRZVpIkw9vhaDQKgqBUKlUqlSiKmq1mfuzKnW/OT9qczWbpMp3P51mWZVnWbDbbnfb9Psyz88EjYQrrx2/GcTyZTIojQ4fDYblcbjQa296H1z9OU+MBAACPjZO8jhp7jWaz+dvn3/LVj498wkcewXLfcrmcTqaz2Wy5XOYX0OXDtyiKwjDMN++VSqX8v9VqtdFo1Bv1SqVyv7vyIWGxn/AxWq1W0bppmvYue8Ut5/lJLcVVCk9NZY0HAAC8nnyRYdEzQRAkSZIXS540eXGVSqXHZ9t4PF4ulp1u59m77LIsK1ZXJkkSBEFRoXny7XjgaDQa9AePXJz5YODlR4y+ffd2x2rV3UteNR4AAPCqiqsR8sWWlUqluAA9lw+yiqsUHmO5XPZv+o/fnvcir2I0Gg1vh0994PoSzfu7Cr9++Vpv1Hfc8z6dTler1bYr0TUeAADwJ7i+vm40GsPb4eHR4caQG/QHw+Hwwy8fHt9seTHWarVms/mDZlz5sSvxLB4Oh08a3BXWD1m5E3hZln37+u3o+GjHSTD5Q/6sVZoaDwAA2BpLt4PbHasr8yWdlWplx0Rro3yg1+l2vvM8kuIyvd+PXZnOkiTJl3E+TxRFJ29OGo1G/r9pmp6fnb87fVcE3sX5RZqmu8+bWb9cQeMBAAB/sw6czWZXvasnTfOC/5yAMp/PO53Otsvldvv1f3992ddSrVaLnNsWeEmS7H6ldy5X+LOU/GkCAADPEIZho9GoVqtfv3x90sLIMAxbrdbh4WEcx9fX18VE7s/S6XTW4y2O45vrm/XAm8/nlWpld+Dls8Q/PfACczwAAOB7FDOuj58+PmOXXT4MnIwntXrtzskuO7zUHK9Wq528OalUKsVnhsPhKl0Vi1Qf+eruH0aq8QAAgL9x5k0mk9Vqtbe397y1l0EQpGk6mUzm8byx16jX67uf5/sbL4qiTrfT6XTudFq70y5mcWmafv3yNYqi9WWcG1/+nbM3NR4AAPC3z7yr3tV4PD59f/qM687vxN58Pp/NZkEQ1Gq1/H7zO5fgfU/jRVG0397vdrt3Zm7D4bBUKhV3HiyXyziOx6Pxg9O56+vrZrP5na9a4wEAAH85+b15R8dH7Xb7pdIxTdP85MzVajWP50EQNPYavcveC9Zd8bOK9Zbj8bh32XtMrw76g3qj/tcJPI0HAAC8pDiOV6vVbDbrdrs/bu3iU+d4jUaj1Wo1Ww/cy5em6fX1dRiE4/H45M3Jg/eYD/qDUlR6qaB9KWV/hQAAwEup1+tpmg5vh5///fkxmfRD1Wq11n6r2Ww+sjbTNK3X6re3tx8/fXxwY+GgPwiC4K8WeBoPAAB4YfkhJcPhsHfZW61Wjz8t80Xs7e1Vq9Vqrbq3t/f4n1vsJ8yP2XzwgXngdQ+6f8H331pNAADgh8j30Z19Ozs4OChuI3gR52fnYRiWSqVarRYEQRAG1Wq1Uqk8b3VokiTnZ+dRFL1997ZcLue9d/Lm5O8YeBoPAAD4sabT6VXvKgiC45Pjv8IV4eviOL6+uj44PFitVs3mH7v1ptPpcrm8vw4zy7Lbwe1f7ZAVjQcAALyqLMtGo1EQBNPJNN8g96ffFZ4kSe+ylyTJthnj9fV1p9NZ35WXz/f22/t/5cDTeAAAwOsZDoeD/iBN0xdfvfmk2hwNR0fHR/Es3vE7rF+lEATBcrm8OL/YfRm6xgMAAH46WZZNJpPxaNzutIe3w3an3Wg0fnTs5dWTn6pSrVY73c5jZolJkoxGo6Ojo/F4PJvOjk+O//Txo8YDAAD+opbL5Xg0Hg6HaZqevDkp/8fLpt1sNpuMJ+Px+ODgoBSV6vV6tVp9/DMM+oM4jlv7rT/3EgiNBwAA/G0kSVIqlb59/ZamaRAErVYrPwQliqKnLozMsmyxWCRJMpvOkiTpdDs31zftdrveqNdqtWdM4bIsS9P0ZctT4wEAAD+FNE3n83kyT/aae1+/fM0/Wa1Wj46PRsNRY68RBEGeW8vlMv9qvV4fj8aLxSJN09ls9vbd24vzi2q1mkfdX+FwF40HAAAQ5CG3Wq1Wq1W5XO7f9PNP1uq1IAjm8Tz/3/32/mg4qtVrpVIpvyIvCIKfsOvW/X+ZPhE40pv8IgAAAABJRU5ErkJggg==)
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ISSN electrónica 2697-3243
Revista INGENIO Vol. 4 N.° 1 (2021)
Referencias
[1] Castro, J. C., Lagos, G. S., & Gonzalez, O. A.
(2017). Simulation and measuring transients
in On-Load Tap Changers. IEEE Latin Ame-
rica Transactions, 15(10), 1901–1907. https://
doi.org/10.1109/TLA.2017.8071234
[2] CONELEC. (2018). PROYECTO DE REGU-
LACIÓN SOBRE CALIDAD DEL SERVICIO
DE DISTRIBUCIÓN Y COMERCIALIZA-
CIÓN DE ENERGÍA ELÉCTRICA INFOR-
ME DE SUSTENTO FINAL Dirección Nacio-
nal de Regulación Técnica Diciembre 2018.
20–30. www.regulacionelectrica.gob.ec
[3] Felber, L. A., Arango, H., Bonatto, B. D., &
Gouvêa, M. R. (2011). Voltage regulation
in electric energy distribution substations.
2010 IEEE/PES Transmission and Distribu-
tion Conference and Exposition: Latin Ame-
rica, T and D-LA 2010, 846–852. https://doi.
org/10.1109/TDC-LA.2010.5762983
[4] Katira, M. J., & Porate, K. B. (2009). Com-
puter simulation of 132 / 11 KV distribution
sub station using Static Var Compensator
(SVC) for voltage enhancement - A case
study. 2009 2nd International Conference on
Emerging Trends in Engineering and Tech-
nology, ICETET 2009, 521–526. https://doi.
org/10.1109/ICETET.2009.61
[5] Liu, J., Ge, H., Yang, Y., Guo, Q., Qian, F.,
Sun, H., Zhang, M., & Wang, B. (n.d.). A
Two-level Voltage Stability Monitoring Me-
thod. 1–5.
[6] Ortiz, A.; Jativa, J. . (2015). Análisis de Es-
tabilidad de Voltaje en Estado Estable del
Sistema de Subtransmisión de la Empre-
sa Eléctrica Quito. Statewide Agricultural
Land Use Baseline 2015, 1(Xc). https://doi.
org/10.1017/CBO9781107415324.004
[7] Rios, J. P. B., Chirre, J. L. C., & Jurado, R.
C. (2017). Real time voltage stability su-
pervision on a distribution network using
phasor measurements without high voltage
network data. 2017 IEEE Power and Energy
Conference at Illinois, PECI 2017. https://doi.
org/10.1109/PECI.2017.7935762
[8] Sagara, M., Sediqi, M. M., Senjyu, T., Danish,
M. S. S., & Funabashi, T. (2017). Voltage sta-
bility improvement by optimal active power
and reactive power output control of storage
battery system. IEEE Region 10 Annual Inter-
national Conference, Proceedings/TENCON,
2671–2674. https://doi.org/10.1109/TEN-
CON.2016.7848523
[9] Vournas, C., Lambrou, C., Anagnostopoulos,
I., Christoforidis, G., & Kabouris, J. (2015).
Distributed reactive support and voltage sta-
bility limits: e example of Peloponnese in
the Hellenic Interconnected System. IEEE
Power and Energy Society General Meeting,
2015-Septe, 1–5. https://doi.org/10.1109/
PESGM.2015.7286603
[10] Xiong, X., & Wang, F. (2013). A new method
for voltage stability evaluation of distribu-
tion network. Proceedings - 2013 2nd Inter-
national Symposium on Instrumentation and
Measurement, Sensor Network and Automa-
tion, IMSNA 2013, 1, 1054–1058. https://doi.
org/10.1109/IMSNA.2013.6743462
[11] Zhang, B. Da, & Guo, H. W. (2012). e con-
trol strategy for optimization of voltage and
reactive power in substation based on load
forecasting. 2012 Spring World Congress on
Engineering and Technology, SCET 2012 -
Proceedings, 1–4. https://doi.org/10.1109/
SCET.2012.6342119
[12] Zhao, W. K., He, J. H., Bo, Z. Q., & Klimek,
A. (2009). e improvement of the digi-
tal dierential relay in on-load tap changer
transformer. 1st International Conference
on Sustainable Power Generation and Su-
pply, SUPERGEN ’09, 1, 3–6. https://doi.
org/10.1109/SUPERGEN.2009.5348004
[13] Cyme Internacional T&D Inc. “Análisis bási-
cos de Cymdist - Guia del usuario”. Canada,
2011