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yUlJSE4WfcSWlpKQaD+d///ufo6Ah7AwKZXOr85s2bdevWwdBt7mTq1KkdHR1ubm6wKyCQ4Uz8SO6KigoHBwc40txJRkZGQUGBnZ0d7AoIZHLNnVNTU8PCwmbMmAFHmjthsVg9PT04HA52BQQyudQZwuWkpaUBANTU1GBXQCB/YYJbNkgkEjRocvPEGY1GHzhwAHYFBDK55s5paWmysrJmZmZwmLmTa9euQYszBDIZ1bmtrU1dXR2OMXfS2NiIRqNZLBbsCghkcqnztm3bOjo6YB537iQ3Nzc8PJxCocDigRDIvzFh7c719fW6uro/9BUmk5menp6cnDy0BY1Gq6mpeXh4SEhIDG3MysrC4/Hu7u7i4uLwBhoZDAZDQUFBSUkJdgUEMrnUOTU1dfr06Tt27PixvuDldXBwMDU1RVSjubkZyWZpaWmZm5ubk5NjYWFRVFRUVVV14MCBy5cv5+bm/j06vL6+/vnz54cOHYL31leg0+mKioozZ86EXQGB/BsT07IhKiqqrKw8su8KCwtraGhQKJT6+npky65duzAYzLlz5/r6+vT19ZcsWXLv3r3Lly//Y+KO169fV1VV0Wg0eG99BRKJJCUlBfsBApl0c+eMjIytW7cO/fngwYOEhISysjI9Pb2goKCv53cfHBxsbm7m4+OTl5dHtigrKx8+fPjp06deXl6rV68ODw+Piori5eXNy8sLCQmZM2dORkaGu7s7hUK5cOFCeXk5CoW6du3a3r17IyMjBwcHe3t709LSJCQk/P39k5OTX79+XVlZaWFhISkpGRoaamlp6evra2FhUVJScv78eUlJyZ6eHktLy+3bt5PJ5LVr106fPr2vr2/+/PkTJk/Iw4cP+fj4DAwM4OMHgUyuuXNAQMDwJ7+urm7nzp3h4eFfvnx59+4dgUD4+tcvXrxoZGR05MiR8vJyZIupqenVq1fxeLyNjY23t/f79+9ZLNapU6e6u7sxGIylpaWYmFhYWJihoeH9+/fr6+sXL1588ODBZ8+eJSYmiouLr1q1asqUKcXFxbGxsa6urrGxsXl5eS0tLb6+vi4uLi9fvkTs18ePHxcQEHB1dZWQkGhvb2exWNu2bdPX10fEXUlJqaenZwKMTlpaWktLC8xIBYFMOnVubGyUkpLS09ND/mQymRQKZXBwEPmTQqFcuXLl6wLt6OhIIpESExOHXr07OzsdHR3RaPSbN2/q6+tnz57Ny8sbFxdXU1MTGRl5+/ZtLS0tOzs7AQGBgoICNTU1KpUKAFBQUKioqECj0chUPTMz88uXL52dna6urjgczsXFRUxMbPPmzRgMJj4+PjQ0FI/HW1hY2NranjhxYuHChQQCgcPh0On0HTt20Gi0c+fO9ff3T4ABwmKxcnJyU6ZMgc8eBDK51JlEIqHR6KHyVEwmU1lZmZf3/zPgcDicpqamhoaGrxzByMiovr6+sLBQVVUV2dLQ0GBsbIzD4YSFhevq6oyNjXl5eYuKisTFxVEo1J49e4KDg5G6HikpKbKyslgsFgAwd+7c9PR0c3PzV69edXR0AABERETq6up0dXVxOFx7ezuTyVRVVcVgMCQS6dy5c2Qyefny5by8vBISEqamps+fP29pabl8+bKSklJubu6zZ8+EhYXH++h8/vy5pKQEj8fDBw8CmXTqnJqaumnTpqE/BQQEOByOubk5soKHwWBu3br19ZR1eXl5GhoalpaWtbW1yBY0Gh0VFSUkJOTn56ehoVFWVkaj0YyNjZ2dna9du+bq6lpUVOTt7V1SUuLu7t7d3U0ikQAA7e3tEhISe/bscXNzMzEx4ePja2lp0dbWrqmpqaioUFFRQebaPDw8KBTK29sbh8PdvHmzu7sb+VHZunUrCoXy9PRks9kcDodMJo/3cqg9PT21tbXFxcUwZSAEMhnV+e+xZ+Li4nfv3n3+/PmCBQtu3749ZPT4N2bOnNnZ2ZmcnDzk45yUlNTU1OTp6YnD4To7O+fNm4dMk1+/fs1isQIDA2fPns1msysqKvB4vJaWVmdnJwCASCSSyWQqlSogIKCoqMhgMFpbW3t7excvXiwiIhIREQEAcHBwEBUV7ejoUFBQkJGRaW5uzs/PZzAYfX19WCzW1dU1PT29vb0dAFBYWFhTUzOuh0ZMTAyPxy9cuNDFxQU+eBDIN0H7+flNjCtpaGi4c+fO0qVL/x4kIisra2Bg4O3tbWpq+s1X76CgoOLi4p6enubm5rKysoSEBGlp6dOnT8+aNUtOTq62tnbXrl1UKtXY2FhERCQjI6OmpoZCoSxZsmThwoVTp05FoVA3b95sbGw0NzcXERFJS0srLi7W1dVlMpnq6upiYmJ+fn51dXWmpqYCAgIEAiE5Obm1tfXWrVsaGhp79+4NCwtrbm6WkZHR0tKytrb++PHj7t27SSTSwMDAnDlzxnVdRCKRWFVVZW1tPd5fAv6R69evW1lZwdVOyCgycTzqurq6ZGRkRiV0e926dUOflZSUli9fLiUlhSgjDw/P7t27kdmxlZWVmppaVFSUjY2Nq6srsj+yrOft7S0lJTVr1iwTExN7e3t5efnu7m59fX0UCrV58+bm5mYAgKSkpJKS0tKlSyUlJQEAhoaGfn5+bDZ71apViIkZhUL5+vo6ODj89ttvSkpK41qaS0tLkbn/kDV/wnDlyhUWi0Umk9+/fy8sLDxt2jRDQ0OoLJD/DorD4UyMKzlz5szhw4fhiHItAQEBPDw8R44cmWiP0P/7q3n//v0NGzbA4YbAufP/xcjICA4nd1JeXv7lyxc1NbXVq1dPvKtTVlYeHBxsb2+XlZWVk5OD0gwZLSbIqmBAQICIiAgcTu5EX1+/srJyopanamxsRBzqSSTShHkThUB1HrXHY3gECoTb+PDhAwBgAifaP3HihIiIiLq6eklJCRxuyGgxESwbvb29UlJSQxEoEK4iISGhpaVlYl/j3r17MzIyli1bBof7R5kwPmM/o1vGvTrX1NSEhoYOz3kE4arXmrKyMisrq+FuMBOM8PBwEonk6enZ09MTGhpqYmKira0Nh/57OHjwoLa2tpaWFiyRMwSLxYqJiZkgc2cymezh4SEnJwfHlQshEAh0On0CW2OjoqJiYmIePXqEQqFYLBaLxVq8ePHQ0wX5Onp6esbGxiYmJrArhuBwONnZ2cjncW93fvv27ejWdU1OTlZXVxcQEKioqPjOBkyM7HE/g+7ubjQaPSHLU928eTM2NhaDwQQHByNOdWg0uq+v78CBAzExMdHR0VVVVfAGgPwXxvfc+dOnT+rq6jw8o/kbY2VlxcfHx2azv7knlUoNCwsLCQlRVlaekPFv/5Gh4MCJd2kXLlzQ1taeNWsWkvFqCCkpKeSnKC0traKioqKiYv78+fBOgIyM8T13Tk5OHvXadIODg0QiEYPBKCgofH3PhISEK1euTJs2DUmFAfkL1dXVVlZWE6881cGDB83MzBYuXPgXaR7OzJkz58+fn5CQEBcXB+8EyKRT5+bmZkVFxalTp47uYQsKCrS0tKSlpc+fPz979mxpaeng4GBkphwYGHjp0iV7e/s7d+4gb7KVlZWnT5+Oi4vbuXMnGo1GoVA7duzYtGkTCoWytLQsLCxctWrVhg0b3r17R6VSs7KyLl265OzsXFxcPDT79vf3P3To0O3bt+vr6+vq6rZu3YrBYAwNDZ8/f+7k5LRw4cJxarQdHBxsaWmZeOWpLl++bGVl9Z22moCAgNLS0tevX0OhgYwEzrjFz8/vZxyWTCZjsVgsFksmkzkcTnV1tZGR0cqVK3fv3g0ASEpK4nA4BgYGS5YsSU5OdnBw8PPzS0pKIhKJSKVXR0dHGo0mICAgKCjY3Nycnp5eXl6OHGfo69u2bUtPT+/s7KyurnZwcEhKSpKSktq2bRuHw0lKSgIATJ8+fejzT7rMn0p3dzeSCJszgYiJidm0aROVSv3RLzY0NPj4+HAgf+PRo0cFBQWwH4bDZrNPnz6NfB6vc2ekQvbPOHJ5ebm6uvrUqVPr6uoAACgUqrGxkUKhIPIaHBzs5+dHJBJpNJqamlp7e3tycrK0tLSsrKyzs/Ps2bNZLNbnz5+VlJQwGExxcTGbzVZXVwcAPHz4UFRUFPn6p0+fBgYGUChUcHBwXV1dcHBwf39/f39/XV1dT0+PhoaGnJwcgUDo7e2VkJBQVlbu6uoaX6PDZrM/fvy4ZMmSCTOJiY+PLy0tDQwMFBAQ+NHvKikpbdq0KSgoqKysDE4HIRPfspGQkPCTaoVYWVn19/dnZ2cLCQkBADQ1NaWlpfF4PGJhmDdvnp+fX1dXV0xMTH9/v56enpSUVHl5ORqNnjVrloODAxqNPnHiRGZmpqio6Lx58zo6OpDn2c7Orre3197e3s/Pr6CgwNnZubu7297enslk2tra0mi0R48e4XA4U1NTAoFQWFiooaFhZmbW3d19//59JIndOKKsrKylpcXe3n4CPCFxcXHPnz83NDQ8ePDgCJ8xHh4zM7P169cbGBhs2bIFig7kOxmvPhsKCgpjlliDn59fQkJCVVUVhUINlSj8t1YJCwuz2WwZGRlkyWgohb+Ojo6QkBCdTh/aWUpKio+PDwBAo9Em2F3FZrN5eHgmxnpgVFTUlStXRutmQ16kIJAJq85hYWEmJiaj6+Y8HDk5ubq6uoyMDC0traioKHd391OnTuXn5xMIhB07duDxeGVlZT09PT09PVlZ2Vu3bsnJyVlbW6uoqKxfv769vR15AtevX3/79u2hsDEcDrd37969e/fW1NRYW1u7u7uLiIi0tbXZ2NicOHGCwWAICQmtX79eSEhIQ0Ojvb2dQCCIi4tLSEjU19d3dXWNo+kzi8UiEokTQJpv3ryppqZ27969UTzm77//DgA4d+6coaGhm5sbFCDI1xiPhvPAwMCfd3AajXb+/Hkikbhjxw4AwPTp0/v7+zkcDpPJpNPptra2KioqRCKRyWRyOJyCggI9PT1/f/+hr2dlZdXV1XE4nOTkZE9Pz7/Y+x0cHCQlJdva2oY2vnv3ztHRsaioqLW1NS0tbSjiOSMj4/Lly0NmnPEyNEgvnTlzZrwvzmzdujU2NvYnHXxwcHDdunVRUVFwVRCuCn5lVXD8Zd+/cOGCtbX1xPOinRgQicSQkBAZGZmVK1eO00uIj4+vqqravHkzPz//Tz1RcXHx7du3fX19p0yZMjnvluDgYBjJ/ffp8tmzZ5FCIuNvVRCNRiMFtiFcCB6PHxgYGL/SHBsbGx0dvXr16p8tzQAAIyOj3bt3I/V/IZC/M87UOS0tbXBwENbW5FoKCwvH6WtNVVWVl5cXk8n09fUdWsv92ejo6Ozatevq1aswpBDyd8bZqqCCgoKZmdnoJtaAjBYhISG8vLzjNMv+1atXr1279s3w/VGHn59/2rRpnz59gouEkHGszu/fv29ubl6zZg0cNi4kJyenq6sLqVY+vnj37h0ej799+/avaoCNjY2NjU1paent27f37Nkzac3QkL8wniahjx49GgNrIGRkSEhIqKurHzt2bHw1Oz4+PjY2lhuqN+jr61+/fv306dPwXoKMM3WOjo4+ePCgt7c3HDPuJDU1dXzVQKipqdm+fTsOh/vjjz+44lHk4eHl5b1w4cLNmzePHDkC7yjI+FDnhoYGJpM56unovofe3l4BAQEMBvOXZPwsFmv9+vW3bt2CRXcAAHV1dSQSydTUdFy0tqyszN3dvbCw8PTp09xWLFhGRmbbtm1r16598+bNmzdv4K0F1ZnbaW9vV1NT+yWnxmAwvLy8f0/3zGazs7KymEzm9+Tpn9gwGIz6+vpx5Dj/8OHDx48fu7q6cm3NBC0tLVdXVx4enoSEBChSUJ25moqKCmlp6V9yal5eXkVFRTqd/pfC0nx8fE+ePLGxsUFyZUxmioqK8vLyfvvtN+5vampqakRExJo1ayQlJQUFBbm8tfb29iwWKz4+vqamBkrVJGR8+Gy0trbicLixOVdHR8ezZ88kJCQaGxvJZLKzszORSBQQEJCXl1+0aFFjY2NiYqK4uICfKokAACAASURBVLi/v7+fn9/Zs2fNzc2dnJw+fvzo6Ojo6OgYHx9vbm5+/fp1pNmJiYnBwcG2trYSEhLTp0+feJ7a3d3dkZGRfHx8v+rl5vuJi4uLjY29evXqCLKA/hIEBQXd3Nyampr8/f1HN90HBM6dR+09dNasWWNmQEhJSTl69Ki+vr6ysvLdu3ednZ2nT5/e19d369YtDw+P7u5uOTm5hISEEydO2NnZvX37FgCArOF8+vQJeZxSUlLc3NwoFEpubu7q1auVlJS2bNny/v177tevEVBbW5udna2hocHNjayurn7z5g0Khbp9+/Z4keYhFBUVfX19X758CWusQHXmLtLS0lpaWsYyAiU4OFhRUTE4OFhGRqanpweFQrW2tgIAFi5cuG7dOiwWS6fT79+/DwDo6+vT0dEpKCioqamxtLRUVVX9+PHjoUOHNm7cWFBQcOPGjejoaDMzs8jIyGPHjsXExIx9pMMY0NfXZ29vz8vL1S9hd+7ccXV1dXV1HZePKA+Prq6ut7d3dnY2TEkB1XlSs3z5cj09vc+fPz979uzhw4cDAwOysrIAAKS0K2L+FhER6erqkpWVraurk5eXV1NTa25u7uzstLe37+3tlZSU7Ovrq62t9fDwMDY2HhwczMvLO3v2LKLyE4z6+noAANcancPDwwsKCiaGQcnR0XHz5s0fPnxAyvT8DEaWVg2KxiRV556enkWLFo2xOj958mTNmjXJyckbNmwICwvT0tICAJSWlgIAEAcsKpUqKSmpra1dWVkJAECSOPf09EhJSQkJCRGJRGFhYUVFRWdn59u3b3/48EFYWPjcuXOhoaFkMnki3T0VFRVCQkLcGYFSU1Oze/duQ0NDU1PTiVFDy8nJafPmzU5OThERET/J2Q41IqCMTkZ1DggIEBER0dXVHcuT3r9//8aNG1u3br1y5QqHw5GQkKBQKAAAGRmZoRm0rKwsHo8nk8n8/PwKCgp0Op1IJLJYLDU1tYaGBmFhYRKJtHnz5tTU1KNHj9ra2qakpGhra5PJZHFx8Yl090RERHBnBEp6ejqRSLx27ZqOjs7Ee2gPHDjg6uqKJPKHTGC411zY2NgoLS09xsECLBYLKbd65swZPB7/6NEjKysrJA1/U1MTgUDIyMgAAHz58oVAIKSkpEhKSj5//pyfnx/xuktJSWlqanr16lVKSoqsrGxSUtLAwEBQUFBfX9+KFSuGMutPDJKSktBoNBcudb5586ayshIZtX/k6dOneDx++Jbp06ebmZlxwy/Ns2fPqqurZ8+eraKi8vW+XbFihY+Pz/79+5F3u1Hh7du3jY2NTU1NKioq9vb2U6ZMYTKZly5dYjKZTCYTh8OtXbt2jDuEzWZfvXp1cHBwqOqbhYWFu7t7fn7+0DKpt7f3GM/hEIHKyclxc3P7iekluLZGQG5u7k+tgTKK3L1719LSUlNT08XFZZJUcKDT6cnJyVxYA2XTpk21tbXd3d3f3NPc3BwAkJyczOFwvL29DQwMfm3Lnz596uHh8fbt20ePHmloaDg7O3/zKydOnEhKShrdZrx79+7333+Xl5e/efPmUL2b8PDw169fV1RU/KraKD09Pch7Z0pKytDGxsbGefPmHT169JeMF5IgPy0t7efVRuFeywaDwRgYGBgXs0h7e/ucnJyamho/P7+mpqZJYRHj4cnOzua2VM5v377V19dXUVH5pgWJxWIh6xnx8fEAgMePH8vKygoKCu7YsSM/P/+XNJ6Pj+/Dhw9EItHFxUVBQSE1NXWodNm/4efnh8FgXF1dy8rKRqsZYmJiKioqHA4nKipqYGCAwWCg0WglJaWpU6ciy+O/BCwWKyQkBAAYep8YHBxMS0s7c+aMv7//L2mSlpaWoaHhT33f4l51/vTp0549e8aFVH38+NHY2BiHwx06dEhZWXkyqPO5c+eYTKatrS2XtGflypXXr18XFRXduXPn95TOQaPRUlJSAICOjg5EGY8ePerr63vjxg1zc3MikTj2l7Bs2bLly5dXVVXJy8vr6uoODg6mp6d/81szZsx48+aNlpbW+vXro6OjR+Vlms1mnzx5srGxccaMGb8wsepXKCkpKSkpWb58uYmJya/K9r527dri4uJRNCuNG7szUjyQxWKNiyJVlpaWiLfclClTiouLjYyMJrY0t7a29vf3/xIJMzAwOHz4sImJiYGBwdDGW7du/fbbbz/kzsxisZA3MywWi2yxsrLauHEjMpqysrJEIjEqKkpMTOzFixf29vampqYMBiMhISE+Pl5LSwuZ57q5uW3btm3mzJkNDQ0+Pj4yMjLv3r2jUCgUCuX9+/fGxsZ+fn5CQkKSkpLbtm0TERFpaWmZOnVqV1fXyZMn6+rqlJSU1qxZo6mpOdQqxI8+IyODw+FYWFg4Ojp+5+VgMJigoKCLFy/i8fgpU6aUlZVt37597dq1I0iGjqjzrFmzioqKbt26FRsbu3PnzuE7XL9+vaysTE5Orr6+fsuWLdbW1t9/8D179tDpdGtr6xHXNkOj0eXl5VQq1cLC4i/mWT8/v/b29unTp2tqatrY2HR3dx88eFBQUHDKlCkWFhYzZsxISEiYN2+empqatbV1SEiIl5fXpUuXlJSU/jLtSE5OlpSUbG1tTUpKAgBUVlby8vJeuXJFSEioo6NDSUkpICCgv7/fwsKisrLy5cuXXl5eN27c2LFjh76+/v79+w8cOLBq1ar58+cjZSh27tzZ0NBQX19fWFh47dq1HwsY5kKb5vXr1zU1NZFK2BAuZM+ePe7u7s+fPx/7Uw/dt7q6ujdu3OBwOOfPnx+Zde/q1asAgB07dgxtHFpZqqiomDp1qrq6OvKCj2zMy8tLSkpSU1Ozt7fH4/FImOjGjRtbWloOHDhgY2Pz4MGD2bNna2honDp1isPhGBoaGhkZcTgcOzu7I0eOIKdAfEgSExMJBMKLFy96enr+3rZ169YFBASMrH/evn3r8P8zsiNkZmZevXq1q6urvb3d2dlZQ0Pj5cuXwcHBiDV/27ZtAIDff/+dw+EcPXoUAFBVVTWyEQwKCvp+uzOTyVRSUkKj0TY2NsiK6PD/TUtLO3funK+vL5FIXLZsGQCgrKzs/Pnzbm5uz54909XVXbt2LYfDQfxfcTgch8OhUCjKysp6enp1dXXIQbq6uggEAg6Hmz59emNjY2Zmpr29/fHjxysrK5cvX/7s2bPi4uK8vDwfH58bN25kZ2d7eXkBAF6+fMnhcL58+QIAUFJSotPpBAJBXFwch8Pl5ubevXt3wYIFDx8+PHToEHIz/JDdmRvnziIiIoGBgeMu4naS0Nzc3NTURCKR7t27d/fu3bE8NZPJFBcXR3zGKyoqjh079urVK09PzxEcanBwkMVi8fHxDb2c1dfXm5qaVlRUCAgI8PPz37lzZ3BwsL+/PzY2VkxMDIfDtbS0vHz5UlRU1MfHZ2Bg4MmTJ0j5waqqqoaGBn5+fj09PT09vaSkJAaDUVFR0dLSYmho6Ofnl52dPXfu3KqqKklJSQkJCSUlJUFBQXV1dXV19b83rKury97e3snJaWRdpKenh0ajBwcHeXl5Z82a9WPv0by869at09DQQFyYpaWlT506FRQUdPbsWU1NTWdnZzQajcgQYgJGTAohISGfP3/u6en5poUBhUJVVFRgMBjE+8LX13fTpk3f2ciGhgZJSUlVVdXNmzeTSKScnJyCgoKhjLVNTU0XLlwwNja+c+dOeHi4urp6b2/v27dvk5OTpaSkhhKolZSU8PHxmZqaMpnM1NRUZWVlERGRJ0+eID8zKBTq1q1bFApl9erVAgICjx8/JhAIO3bsaGlpaWho6OnpkZGRoVKpdXV1yKsDhUJxcHDAYrE0Gg058rRp0zgcTkFBAYvF2rVrFx6Pj4mJUVZWNjExefLkCQ6Ho9FoX5c1DoeDhHdxqWUD8eaZPXs21EHuJCoqSkVFhcFgBAQEjH3GbUQ4MBiMjIwMGo2uq6srKioqKioyNjb+oePw8/NXV1czGAwkkggA0N/fHx8fj0ajz5w5Iycn9/nz58bGRuSRu3//vpSUlJmZWXR0dHt7O51Ol5GR4efn7+7unjp1qp2d3fv37zMyMgoKCggEwtKlS11dXW/fvk0mk+fPn79lyxY/Pz/kFHV1ddXV1YaGhkMn/UeJNDIyGplB78OHD93d3chiADJ9HsFBsrKyhma406ZNQ6PRd+7cqaioePz4MfIC8X/XrHh4kJ/MH0oAgkKhxMTEWCyWhYWFrq5uV1eXqqrqN7+lqqra2dlZUlISERFhbGxsZWW1YMGCiIgIJMcDiUSSkJDQ0dFZtGgR0tulpaWSkpIeHh7z5s0bKtlhaGjIYDBKS0t5eXnnzp3r7++fmJg49BIgKip69uzZvLy8a9eumZqampmZsdlsWVnZxsZGEomkqKhIJpMHBgZwOFxWVlZ7e7uwsHBsbOzmzZsFBASQIxcXF2MwGGNjYzQaff369cLCQmtr6507d8bExOjr67e2tn5zxolCoYa7UXLdqmBPT4+8vDwUQa5FU1Nzy5YtAIBfEiIoLy8vLy/Pz8+PzDIIBIKnp+eDBw/27dv3oyqPzLyG5KampmbJkiUyMjJPnjxhs9kuLi6PHj06f/48k8mUk5MTERFJSUkpLCzk4eExMDBgsVhlZWXKysoxMTEAgJMnT4aHhx84cKCgoODIkSPTpk27fv26nZ3dnj17hntT8PPzL168uKurKzw8/N8aJioqampqOoKULGw2e2BgYMmSJYg8JScnHzhw4L93uLm5+axZs5SUlNhs9l9K+iJ1J36oyK+enp6urq6YmFhfX9+7d+9G0B46nW5oaLhly5bGxkZLS0tk8UNVVXXmzJk0Gq27uxvZTVZWVk5Orru7m0qlfuX9SVpaesiqjtSm2bdvn4uLy9y5c0+ePOnv7z9z5kxNTc3hawMAAGdnZ01NzW+GsIuKiqqqqlpYWDx+/Li/v//8+fM/erFcp84pKSm/pAbKcGg0mouLi729fVFRUWtra1VV1aZNm7Zt25aTk4PsQCaTc3JyCgsLW1paVq1aJS8vf//+fSaTOeGlGfEKEBMTi4yMHHv/fwDAvn379u3b19vb29zcjGxxc3Nzdnbu6enx9PQMCQn5zuOQSKTm5mY0Gi0qKgoAqK2t3bVrFy8vb3h4eH5+PhaLdXNzKy0tNTEx4XA4bW1t0dHRkpKSmzdvlpWVvXXrFpFIXLVqVUtLi7GxcWpq6pYtWy5evLh69erDhw9XVVUNDy49cuTIw4cPq6qqAADCwsKvX78uKyvz8PD4x1ZlZmZu2bJlz5493590v6enp6Gh4ezZs4cPH46Li0M2IjEjI4iTZLPZvb29RCJxuDNrSEiIr68vhUJhMBjnzp2Tk5MrLy9HjEsbNmz4IfvJ9u3bt2/fPvzl/TthMBgMBgO5XgDApUuXNmzYAADYunXr5cuXzczMNm7c+ObNm9WrV588efL8+fOCgoKzZ89GvBJPnjw5fHZPoVC6u7vr6upaW1uPHz8+NBadnZ1VVVVHjx5tbW3ds2fP+vXr8Xh8W1ubmZmZp6dnXl5eS0tLfn4+i8Xat2/fjBkzkOcdsdIgbUPyaA4ODiLm4+zs7OvXryclJS1dulRfX59AIPzw7c5tK0737t375W0IDg4GABw8eHBoRYJOp+vq6uro6CBdHx4evnz58vj4eCqVisVisVgsmUymUqkTezGQyWSePXuWa5uXkJCwadOm0NDQrq6ur+85ZGoYwszMrKam5i+7rVy5cufOnZ8+fZozZ05lZeWQv9r169eR/N0AAAkJid7e3r/Yvvfu3YvH40tLS0NDQxcvXvzkyZOh4BF+fn4xMbETJ078W9vOnj37Q52cm5u7a9cuZNVrFBddHRwchse5NDQ0dHV1DQwMcDic5ubmK1eu8PHx3b59ewyiURgMhoKCgrCw8FDbDhw4EBoaOrzDHz9+zOFwNm/eLCgomJqainyRxWJt2LBh5syZVVVVHR0dQ6uCenp6qampqqqqL168GH6i/v7+tra24Z7yMjIyBgYGDAaDyWT+/vvvNjY2q1evRpYBhzKaIUFMQy4or1+/HpqMR0dHD38/EBISam5u7u3t/f5VQe5S58DAwJycnF/bhr1791pbW2/bti0uLm5oY21tLT8/v6CgIIlE+t///ofMH8lkclJSkp+fn4ODg5+f34R31Xj06NH9+/e5uYWJiYkHDx7cunUri8Uas5P29fU9e/aspaWlr68PyQSgoqISGRn5s8+LLFquW7cuNjYWj8eP0zvqO302RgVEnbW0tP4t/JVCoQQFBTU3NyNbAgICVFRUysrKRna6mpqaxMTEN2/eIL8xN2/ePHXq1PBYx/EUK5iWltbR0THcjXG0KC4ufvr06eLFi58+ffrNnb28vDIzM4OCggwNDYc24nA4MzMzKpW6ZcsW5Gezp6dHUVExMTHx6tWr+fn5mzZtysjIEBISQhx6hl7D9fX1nz9/jvzp7+8vJCQkJSX18OHDBQsWBAQE/BKX4ZHR3d3d2dk5lOuAO5k9e/bMmTMZDMZf5lY/DwaDwcPDg5g7hYWFeXh4amtrd+7cuXDhwp996mvXrg3Zdv5iGIWMABKJVFZWhsFgFBUVkS06OjrW1tYjLj5ZW1v78eNHZDLOy8uLw+G0tbWRGKjvhIt8NjIzMw8ePMhms0c3+IdAINjb2yNuWBEREd3d3Vu2bPlKtvj169fLyMjY2dllZmaqqKgMX0MAAPDx8e3evTs2NhZZIpeWlrazs1uxYoWDg0NOTs7AwICamtr+/fu9vb3v3bvn7u7u4+Pz22+/ffjw4cGDB+vWrfPz81NWVnZzc4uLi3v16tUIggV+FRISEn9ZUOZOXF1dWSzWly9fLly44OPj87OTAvLx8aFQKGVl5Y8fP3758kVBQcHY2Nje3v6nnjQpKcnY2LimpgaLxQYFBUFh/X4pAAB0dHQ0NTX9PaZXQUFBXl4eMRZTKBQMBmNiYrJ///6/hKv80IKqpqZmaGhoVlaWgIAADodbunTpDx2BW9Q5PT0dWaceXWnmcDgCAgLD1+vevXs3a9asryw8bt++/cKFC0VFRZs2bRq+WoL8hFpaWmIwGMTrtqurS1tb+8GDB8LCwitXrmSz2QQCQU1Nrb6+vrS0NC4uTkZGxtbWNiwsDIk7EBcXl5CQoFKpKBTqK6v2XEhra2tcXJyCgsK4KC/i4eHh4eERExNz9OhRRUVFBQWF5cuX/zz3eV5e3gULFozZ1SUmJhYVFc2aNevOnTtQcH+IuXPnfsXRAlGe7du3j9bpxMXFxcXF/0uiV26xbKSmpuJwuFGP20ahUEJCQsi6PMLOnTu/7hOCuDSpqakNL8I9ODiIpDdycnIaGBhAZuKSkpJdXV0ODg5oNDolJUVMTExDQ6O+vl5cXDw8PFxISMjKyopEIqmrqx8+fFhMTKy3t7e7u1tZWRlZzR9HVFZWEonEEU8ifpVGM5nMvLy8goICJCR3vJOenr5o0aLQ0FDEfgqZ8HDF3Lm5uVlBQWF45oRRRFxc3M/PLzU1NTMzc/78+c7Ozl/f397enkajXbx4EQmLQujq6iKRSFZWVvr6+hkZGSIiInQ6HXGQfPr0qbCw8KpVqzo7O9va2mRlZRkMhpeX14kTJ9LT0y0tLZG5JwaDYTKZEhISAgICXV1dkpKS4+gu6e/vBwBwW0a6bxIYGAgAePPmTXR0NA8Pj6am5pQpU8bvsxoXF6eiorJ169YJWVIAwqVzZyqVqqCg8PMEa+PGjU+ePMHj8VeuXPnmzkpKSl5eXhgMZsi7ub6+vqamxs3NDam9PW3aNGVl5cHBwfLychqNFh0dTSAQFixYgMViw8LChIWFtbS0vL2929razp07hwQ9v3v3DonipdPpOTk5SCDseCEkJGQEDqrcg6ura2BgYExMTEVFBRJAMe6gUCjr16+3srK6fv06lObJA/rvvp9jz82bNxHfci4Bg8Foa2traWkhi4d8fHxRUVErV65EjBgAAFNTU1VVVTKZbGZm5uPjo6SkVFtba2lp6eDg0NXVNWXKFAMDgzlz5igqKlZWVjY2NhoZGSkpKVGpVDQavWjRovFVhLS7uxvx0h/v93pcXFx/fz8vL6+UlNR4qYZHpVKPHTtGo9H09PT09fV/aMWf+ykqKkKCP6EQDyc9PR15T0VxuKCkLpLND44KF4LH4/F4PBaLHXdmjX/kf//7Hx8f35EjR8ZLGu63b99GRER4eHi4u7tPvLsrODjY2NjYxMQEPmhDIBFJSOGVX2zZqK6u3rp16y8P3Yb8Gzk5Ofn5+RNDmgEA9+/f19fXDw4OTktL42ZzDYFAeP/+fUREBJPJvHPnzoSUZsg3+cWrgunp6aWlpeN6rWYCw2Aw6urqxosR4DvZsWPHokWLeHh4Wlpa/vjjD+58sc3Ozs7Ozvb09OTj44P3IVTnX0NTU1N0dPRPLGoL+Q9cuXJFVVV1xYoVE+y6IiIiAACXL1/euHHjsmXLvunGM5Y0Nzd//Pixs7NzxYoVY+lGDYHq/P9w4cIFBwcHJIU5hNvIzMzEYDDcUzlw1Jk/f76Ojk5UVBSNRpszZ84vnyI0NDTU1NR0dXU1NTUtXLhwXAT+QCamOqenp7PZ7Alj0Jx4IDXRuT90e8RoaWlpaWmhUKjY2Njo6Ohbt25hMJhf1Ziurq6srKwPHz7cuXNn8eLF8PaDgF+4KtjX17dkyZLJ1t3d3d1DuQe5nLa2tsmwHuDm5nb79m09Pb3r168jIaBjT1VV1YULF5SUlP4t7zMEqvOYUlBQMAkXA48cOaKgoPDx40cub2dCQkJra+vkcXP09fWtrKz08fG5d+/e2bNnx+y87e3tr169ysvL6+zstLGxgb4ZEK5Q53GXa2JUsLCw8PT07Ojo4PJ2MpnM4fnOJwP79u1bunQpPz9/b2/vWL5IZWZmysnJzZ8/H4oRhCvUuayszNraelx0UF9f38GDB4WFhY8fPz58O4PB+OOPP/T19ZGiNd/J7Nmz6XT6D33lv0AikYSEhISFhZF6P98/cf7w4YOcnNykehJ0dXWXLl0qLS1NJpP37ds3BjG0WVlZf/zxBx6Pd3R0hDYNCLeoMzcUD/xOREREysvLKRTKX8oC8PHxkclkW1vbH/JIbW9vX7Ro0dy5c8em8Z8/f164cKGDgwNSnPR7QCLRZWRkJqfPgKurq7u7u4KCApFILCoq+klnSU1N7e/vDwsL8/DwuHjxIpQhCLeo8507d6ZNmzaO+qi9vR0AICsr+5ftx48fv3v37g8dytzcfP369WOWLcHd3Z1AIMTFxX2/iV9ERCQsLOyHCi1PMNzc3Hx9fTkcTlBQkI+PD1LCdbSgUCjt7e2PHj0SFhYOCgqaP3++lpYWlCEIt6jzwMDAmL3ajwAWi7Vz505fX9/o6Gg5ObmSkhI9PT0AQHR0dGhoqIaGhpWVVVtbGwDA1tZWXV0dAPDhwwcUCoVCoX7//fc5c+bgcLj79+8jR/P397e0tIyIiPDx8Xn16tU/nrGzs9PV1fXgwYP79u1D3nCzs7NRKJS0tPTWrVtRKJStre3ly5eR/GpxcXHr168/dOgQkuSXRqORyeT9+/fv3bsXyfIDAKitrfX29j506BCiy3Jyct+f4DgrKwuNRquqqk7yB+PevXvz5s3j4+O7efMmjUYblWNyOJyHDx+SSCQYZgL5Hsba3/nTp090Op2bk7S5urr29vZ+/PgxMzNTR0cnNzcXSfSsoKCwdOnS8+fPl5aW/vnnn6dOneLj47O3t09OTm5sbHRwcCgoKAgJCcnKygoMDHz8+DEajc7Ozs7NzV27dq2CggIajf63eIfz58+npKQcPHjQzs7Ox8cnKChIXFx8xYoVeDzew8PD1NQ0Jibm2bNngoKCZWVlpaWlSUlJoaGhgYGBV69ebW1tNTIyOn36tKenp5mZWVFRUV9fn4uLC1ITHovF7t+/v62t7ftrKWVmZlpbW0N1BgDMnTt37ty5AQEBp0+fRurC4HC4kR0KWWwoLS0tLS3dvn37T0plDplojHEV3jNnztDpdCaTybV1gj9//szDwyMiIpKWloZsQcqhI3XvV61aBQDYtGlTQUHBxo0bcTgcUrEb6czExMSampqEhAQAwJkzZ1paWpB6V+7u7ki1+X/k/fv3AAB1dfXe3l4ajcbhcBBbipSUFLID4hi+f//+sLAwpCVtbW3btm3Lz88PDAw0MzO7cOECh8NZunTp06dPZ8+eraGhce3atczMTCKR6OvrKy0tPVTl93vKonMgf2Pnzp1IceWRkZCQYG1tzeUVzSd8Te5xwS+ryX3mzJkZM2bw8PCMeoWqUURfX//Vq1cDAwOOjo6LFy9++fIlIr6I6Rb5XFNTY2JiUl1djcydU1NTZ8+eraqq6u/vr6GhgWjrly9f5OXl37x5Y2Jikpub6+joeOvWrX88o6GhYWlpKZ1OFxUVXbNmzf3791NTU1esWGFvb19cXFxdXY1UXMzKylq9erWUlNSyZcukpKRu3LhhampaUFCQn58vKCgIAAgNDZWQkNDR0SGRSOfPn7ewsFBQUEhPT+/o6HBwcPiea79y5cqvisjgcubMmfPq1StEo38ohT+NRouMjHz16pWRkdF48VOCTEa7s5mZmZKSEjdLMwAAi8XOnz9/7ty5OBwuNTW1pKSktLQUi8UaGhpSKJSSkhIAACJ2OTk5OBzO0tKyrq4uJydHQ0Nj9uzZNBrty5cvc+fOnTNnDgBgxowZZ86ccXJyKisrQ6zVf0dWVtbAwMDBwQGFQrW3t7e1tVVUVERFRRkYGGhraz9//rykpMTb29vNzY1Kpaqrq2MwmKE+rK6uRt7Bh0zY1dXVhoaGy5cvZzKZPT09SOPNzMy+eeEhISEUCgUqyD/i5uZ2//59KpUaGRnZ1tbW19f3/aa8qKgopD6L/jfBawAAIABJREFUvr4+7EkIN6pzU1NTU1MT99fTW7Zs2bFjx6Kjo318fHR0dDw8PKZOnUqhULKysrBYLPKA4fF4AIC5uXl+fn5zc7OxsbGUlNTnz59RKFRHR0d3d7eWlparq+uGDRv27ds3ffr0Y8eOaWho/MUnD2FwcPD06dOnT58+derUmjVrhISEli9fbmpqqqGhkZCQUFdXp6+vX1tbKy0tvW7duuDgYBaLZWxsfPjwYaT8++HDh42NjZcvX75ly5bHjx8vXrx4w4YNoqKiOTk5O3bssLW1lZWVNTExCQkJ+eaMD4mRmczeGt/k3r17RkZGR48effDgwTcXWiMiItatW9ff3x8cHLxw4ULYexDuVeeamprm5mbuV+cvX758+fKFxWKJiora2Nj09fUhS/aIutHpdABAVVUVAIDJZIqIiFRXV/f09GhoaKDR6Lt37/b09GCxWHd39+7u7oaGhsLCwq6uro6ODhUVlX+ccPHz87e2tp4+fbq1tXX16tWampq1tbVUKtXIyIhOp1dUVJSUlKipqdnZ2bW3t2tra5uZmRUXF//5558iIiIAACcnJy0trdzc3MDAwJqaGiEhoWXLlqmoqGRlZYWFhfX19fHy8n769IlIJLLZ7K9feGdn57Fjx+Aj8XV27NgRFBQ0bdq0vLy8r++ZkZHx8OFD6J4BGTFjVLlq3rx5CxcuXLhw4YSMQLt+/fqdO3f4+PiMjIyePHny3w9469atoKAgc3PzY8eOjU2NpYcPH8rLy8+bNw8+Et9DbW3t77//rqOjY2RktGzZsuH/RaFQCgoKHj9+rKent2fPHthXXwFWrvo7wytXjYVHXX19vZWVlZOT00QNDhYWFq6pqUGKeTOZTKRW7H8Bg8EUFRXp6uqOTTaSly9ftra2Qmn+ftTV1RH/GR8fHyEhIW1tbW1t7YqKijdv3tTW1pqYmPxomBIE8mssGx0dHfLy8hM4I93Tp0/pdDqRSFy5ciWTyfzvB3z27BmTyWxubs7MzPzZjWcwGLW1tSgUCpZGHgEuLi5xcXFHjx79/PlzfHx8ZmYmhULhqgLzEGjZ+NrEOTU19bfffuNyV41JS25ubmpq6t69e2FXjBhnZ2cSiaSqqrpq1aq/GDogX0FPT09ERERUVPSHnBQnNoODg9LS0q9fvx4Ly0ZjY6OqqiqbzYbqzJ3k5eXx8PDAfvgvMJnM3t5eXl5eKM0/BBKFC/k3fvpjiUaj+fj4YGlh7qS8vLylpcXc3Bx2xcjA4/Fr165F1rVaW1s9PT2h4kDGjTonJyePr4x0kwc6nX7gwAEGgwGrO46YpqYmHA6HqLO3tzcAoLi4GHYLZFT4uZaNtLQ0FRWV/+7DMMazoadPnw7foqKioqys7Ojo+B/fAOrr6/v6+rS0tH55+WcEFoslLi5++vRp+BiMGAcHByRwFMnWHxkZCfsEMj7UmUKhcHM6un9kypQp3t7ehoaGAgICRCJRRETE3d09Li4uNjbWzc1txIdlMBjz5s3bvHmzjo4Ol1zp69evtbW14TMAgXAnP9GykZOTQyAQxqMj3cDAAJPJ1NLSQuLxbt++zc/Pf+nSpf9yTCKRuGbNGu4xwePxeAEBge/MjgSBQCaUOo9f9PX11dXVS0tLkYjtzs7OwMBAMpm8bt26ER9TTU3twIEDW7Zs4Z7LrK+vhxZnCGQyqnN+fv7WrVu54SJPnjyJ1C6xtLQcHBz85v5NTU21tbUqKirIi7+MjMyuXbv09fUfPnyYmZmpp6f35s2ba9euXbx4kUwm19XVvXjxAgDg5eWFQqFCQ0MBAPPmzdPS0vrzzz9/++03FAplYmJSUFCwefNmY2Nj5K0Cac+mTZuwWKy4uDgOh0PCWDQ0NLBY7B9//OHs7CwpKXn9+vWf0SEsFissLOx7EtdBIJCJps5Xr141MjLikotMTk5GPuTm5p49e7a1tfXr+0+ZMsXW1pZAIGzYsMHPz2/JkiV8fHxHjhwBAAQFBdXU1Kipqe3evbu6urqgoMDAwOD58+cAACTfDVK6+8yZM3g8/vLlyxcvXoyIiAAAqKio9Pb2amtrh4SE1NfXe3l5CQoKhoeHZ2dne3t76+vrP3v2zMrKik6n371718zM7P379+bm5rt27fpJfYJGo1EoFHwAIJBJp84sFmts8it9k1evXg3PVuHv708kEr/+FQKBcOLECQ0NjYaGBj8/v7S0NFlZ2Tlz5ly6dKm+vp7BYEydOhWFQt27d49Op1MolJiYmIyMDET0Kysrq6qqTE1NdXR0ECcNT0/PwsJCaWlpMTGxlJQULy8ve3v7kJAQKpX6xx9/sNns/v7++Ph4UVHRLVu2NDc3+/n52drarl+//v379zU1NT+jTz59+sRgMLhkgCAQyNipc3p6OoPBmD59Ojdc4eLFi4cqSwEANm7cKCAg8PWvaGho+Pv7IxoNAKirq7t69SqTyXzy5AnizVpTU4OUlnFxcQEApKWlDYXbKSoqamtrFxQUVFZWmpqa6urqDh22vb0d0WVEo6WlpU+dOqWoqCghIaGtrd3U1PTixQtNTc3jx4+np6cHBQXNnDlTU1PzZ/TJly9fnJycbG1t4QMAgUwudU5LS9u3bx/3hG67u7sjH0xNTf/8889vlqggEAjp6ekaGhqIfk2ZMuXcuXNtbW0DAwMYDEZPT2/IYbmkpOTFixcPHjygUqlIOnw7O7uKigp/f38dHZ0TJ05UVFQgexYXF8vIyJSXl3t5eenr64eEhHR0dBw9elRaWjolJaWqqmrmzJkJCQm3bt2qra3dsWPHunXrPnz48DN6486dOwMDA+PO0xECgeo8CigoKHBV6PbRo0dfvXp18eLFxMTE74kE6enpAQAgBVsBANXV1VVVVfLy8ufPn+fl5a2rqwsODu7r63v//n1WVtajR4+EhIQkJCSam5sBANLS0qKiogQCobe3F4fDiYuLD01XOzo6kGLMZWVlAAB+fn5dXV06nd7d3Y3BYLq6uiIjIzMyMlxcXAoKCoKCgn5GH5JIJDabPTaJSSEQyH9hlHPUJSUlJSUlHTt2bPwm1ggKCurp6UEEGkFcXHzevHmamppI0GNSUlJKSsq0adPmzZvHYDAYDMb79++VlJRwOFxnZ2dXV5eent61a9cAAHJychYWFpaWlgCA8PBwEolEIpFWrVpVXl6OVNZQUFBYsmTJn3/+CQCwtLT8/PlzYGAgiURCzmtiYhIZGYnD4Ubx6sLCwthstpeXF7z1Rxd1dfXdu3f/vFVcCFTn/0plZWVFRQWs1jMyNmzYoK6ufvToUQAAhUJ58OABk8kc3dye0dHRcHSgOkPGBaMcyV1YWAjnZSPj3bt3kpKSQ+EhWCwWi8WO7sQ5ISEBptiHQMYLo2l3DggIgA//iDE1NY2Ojg4KCgIAcDicS5cuYbFYJyenUTxFfn4+UrUWAoFMorlzVlaWsLCwvb097NORISMjgwSOAwBQKNS+fftG8eBsNvvTp0+8vLwKCgqwqyGQyTV3ZjAYAwMDsEO5dJh5eLKzs1ks1gSu7giBwLnzP5ORkYFU+YZwIdeuXSssLPw/7N13XFPX+zjwEwgzjIRA2HsP2ThBQIZaF1qLWql7V+to1apVUVq1Wiu1ilXrxroVAQWFKltli4CyN4RIEkgYIWT8/jivD19+2loHSILP+68Qkpubc2+enDzn3Oe8UrcaADD0o3NaWtrIkSMFAgGsUCWZPD09oRwdAFL2k7dftlJfX29sbAyhWWLV1NRA3gmATzE6V1RU9O/cL9CPkpOTi4uLoe8MwKcYnWFRZ4lVWFhIp9NhLg0An1x0rqmp2b17d99KbECisFissrKysWPHQlMAIF0+dFSwvb3d2toa0hqSKT4+vqmpqbe6KQDgE4rODQ0NuO4akDQikcjU1BQh9CHLIQIABsuH9qqysrIcHBygHSXx0MrIxMbG4uUCAACfUN+5sLCwtrbW19cXGlECCYXC2tpaPp8PUzUA+OT6zjdv3nRycoKOs2SSlZWNiory9PSE5akA+OT6ziQSSV9fH1pQMv30008IIeg4A/DJRef09HSodiax6HS6mpqas7MzNAUA0us9MxtcLnf48OHQfJKppaWFRqNBxxmATy465+fnNzU1QS1KidXV1cVkMqEdAPjkonNJSQlMoZVMPT09XV1dN2/epFKp0BoASLX3yTtDv0xiMZnMn3/+GVbdBuBT7DunpKTAxYESq7S0VFNT87fffoOmAOCTi87Nzc2WlpbQcJKJQCBAlW0APtHoXFFRoaenBw0nmTIyMoRCIbQDAEPAu+Wd9+7dO3r0aGg1yZSdnS0vL79+/XpoCgA+uei8Z88ePp/P5/Oh4SSQnp5eaGgotAMAn2J05nK50GQAAPARQF12AD5UfX392rVr31x2RiwW83g8aCvw9ghisRhaAYCBhj9oBAIBmgJA3xkAAKQYEZoAgP907969urq6+vp6/OeCBQtMTEzYbHZSUtKzZ8/c3d0/++wzaCUAfWcAPjZfX19ZWdn09PS7d++2tLTgZY4pFIqurq6cnJyqqio0Eeh3kHcG4K3Q6XQ6nT5r1ixlZeW0tDQSiSQQCCorKzU1NZWUlJSUlN78dMg7A+g7AzAgdHR0nJ2d1dTU8vPzy8vLEUJtbW0IIQ0Njf8MzQC8B8g7A/AOAgICmpubExMTdXR0mExmb1WToqKi7OzshoYGFRUVJpO5YcMGdXX18PDwR48eff/995GRkWvXrlVXV1dXV4c2BBCdAeh/Y8aMaW1tffjwobKysrm5ee8CNIcPH87JyUlOThaJRKamppMmTXJ2dt60adPo0aNdXFzi4uKEQiFkEQFEZwAGiouLi46OTmBgYFFRUVZWlqKiIkJIIBCkp6e/fPlyz549YrG4vb29oKBg+PDh/v7+cXFxAQEBJ06cMDU1hdYD7wRGBQF4Bzwer7u7G18W2NLSgqMzj8fT1NRECDU0NCgoKOA7EUKZmZljxowRCATOzs6JiYnKysqQoQZvD0YFAfjgX6BEoo2NDZlMrqmpaWtr43A4TU1NXC63q6srJSVlyZIlxcXFISEhN2/ehLYC0HcGYEBwOBwOh2NpaUkgEGpra3GXGSF07dq1GzduFBUV2dnZubq6Ll++XCAQjB8//sKFC+rq6gEBAeHh4ebm5ubm5tCGAKIzABIE5juDdwWZDQAAgOgMAAAAojMAAEgvmO8MwH97w/AMgUDg8/ktLS2qqqoqKirQVgD6zgBIiubm5jFjxhw6dOjND+vu7oa2AtB3BqA/vXmuhaGhIUJIXV39zQ/rvUoFAOg7AwAARGcAAAAQnQEAAKIzAAAAiM4AAAAgOgMAAERnAAAAEJ0BAACiMwAAAIjOAAAA0RkAAABEZwAAABCdAQAAojMAAACIzgAAANEZAAAARGcAAIDoDAAAYLBI08pVdnZ2ysrKqqqqcNiG1ClIJFZXV5eVlUFTACCV0bm6unrmzJnz5s2zsLCAwzaUFBYWxsfHQzsA8AqpyWwIBILRo0dDaB56bt26NXz4cGgHAKQ1Oqempk6YMAEO2NBDpVKVlJSgHQCQyuhcXl7u5eUFR2voSU5OZjKZXV1d0BQAvEI68s7t7e1isRiO1tBTVFTk7e09duxYaAoApLLvTKfTXVxc4GgNMWFhYSoqKhCaAZDW6Lxnzx4SiQSHauixsrJyc3ODdgBAKqNzfn6+rq7uhySdmUwmjUYjEAj19fX4z8mTJysrK+fm5v7bU0Qikbm5uYaGxoIFC6KiouAsGQhZWVlMJpPJZEJTACCV0ZnL5TY1NX3IFqhUqoeHB0KooKAA/7l169aurq4DBw78a6PIyOzYsYPNZp87d87GxgbOkoFQWVnJZDIhrQGAtEbn8vLyrVu3vnInj8c7c+bM8ePHOzs7/3MLPT09Pj4+CKHExER8j5ubm7a29oMHD1pbW3Nzc0NDQ3ft2tXa2ooQ+vnnn0NDQ1+8eDF//nwNDQ2EUHFxMULo8ePHN27caG5ubm9vxxspLS2Nj4+vqalJTk6G0+g91NXVbd++HdoBAKmMznv27Hn98pOcnJwNGzYsWrRoxYoVubm5tbW1b96InJxcUlISQsjf3x/fExcX19zcPH36dDKZ3NPTs2vXrtu3b+Pbx44d27VrF5VKvXr1KovFQgg5ODicO3du69at9fX1J06cKC8vRwilp6dHRUVVVVWdO3dOWVm5oaEBzqR3UlhYOHHiRGgHAKQyOjc0NOjq6trb2/e9k8ViZWZmxsbG4j/XrVuHs8lvIBQKm5ubEUIXL14MDQ1dtmzZ/fv3Dx06tHr1aoRQY2MjmUw2NjZms9lMJlNPT8/Z2bm2tvbBgwdKSkpOTk4sFuvPP/9kMBifffZZRUVFXl4eftaFCxcQQsOHDy8qKlJRUYEz6Z3U1NRAxhkAaY3OXV1durq6OL3Qt8/FYrHq6up6+9H/mdwQiURNTU0EAmH37t2PHz8+efLkyJEj161b5+DggMMEmUw2MjJis9l0Ol1bW9vZ2bmurg5HZzc3t8rKyrS0NAcHB0tLy9TU1JaWFoSQnp5eYWHh1q1bHRwcFixYoK6uDmfSO8nNzYWMMwDSGp3LyspeT2uMGDFCU1OTRqMhhAgEgrm5+X9eBCwjI6OjoyMWi9lsdnx8/KJFi9avX793714c1o2NjVtbW2traykUio6OTnNzc35+vqGhoZ+fH4/He/bsmbq6uoqKSn5+fkdHR0VFxcaNGxFC7u7uLBZLT0/P0dFx7969vclo8J8YDEZERISxsTE0BQBvJqHXCpaXl1Op1Nejs4KCwvLly8ViMZ1O19LS0tTUHDNmzFtuUyQSIYT++OMPZWXlrVu3CgSC7du343qkPB6Pz+czGAw2m62oqIhjOkJIIBCQyWRDQ0Mej1dUVDRs2LDW1lZdXd3y8vKioqJ79+6tWrUqJSVl+vTpMLXjbbDZ7Li4uLS0tL/++gtaA4D/IJY8R48etbOz43K5/bVBPF368uXL+M+mpiZZWVkqlcpmszkcjp6eHo7R2traurq6CKHS0lKcVkYI5efn//rrryYmJvjPyspKsVh8+PBhKyur+/fvHzt27OnTp3Q6XQzewuXLl9euXTt8+PCh99ZMTEzCw8PhEIN+RJDA+hVnzpwxNDT09fWVlZX9wE1lZGQ8fvyYw+HgTAiBQNi0aZOiomJkZCSLxTIxMbG2tiYSiQUFBQ0NDfb29s+fP2cwGHgwEGe3HR0d/f39ORzOw4cPjYyMvL29EUIVFRU1NTV8Pr+1tXX27NnwHf+WOY3r1687ODgMsYzzuXPnenp6wsLCvL29AwMDXV1d7ezs4HCDDyeJ0Tk+Ph6KhQ49ycnJKSkpQ6/mkaOjY3NzM4PBQAhNnTp1zpw58IUN+oXEjQpevHjR1tYWDszQIxQKqVTq0JuqwWAwcGiWkZG5e/fuK3NAAXhvEjcqSKVSYUB/SEpPTx+S70tHR0dXVzc/P9/AwMDY2HjYsGFwrMEQ7Dv3TigGQ6x3eeXKFSsrqyF56XZ+fr6dnR2RSOzs7Fy4cCEcbjA0+87l5eXOzs5wVIYYfGXgpEmThuob/P77758/fz527FiIzu/k4sWLQqEQT3UFvRYsWCBx0bm8vFxXVxeq7A89nZ2dTCZzqCasVq5c6efn9+DBgzNnzsCxficCgcDJyQk6ZH2JxeI9e/bg0m8SlNmAdV2HKrw81ZB8a+Xl5SKRyNbWlkwmr169+q+//vrhhx/giIN+IUHRGV8JMqBf1N3d3WQy2dXV9SO8ndu3bxMIhN7vmwULFsjIyHyCpX/CwsKGah3nuLi4srKy48eP43kacnJyX375ZVhY2PLlyyGygKETnc+cOaOtrT2gL0EkEiMjI9va2saOHVtZWTnQ7+jly5cIIT09PYQQl8stKCiYP38+lUr9pE6vrKwsKpU6b968Ifa+Xrx4ERQUpKSk9PpvAgKBcPz48atXr/76668QX4DUR+fU1NSmpqaBzjiLxeJFixZRKJSUlBQzM7OBflOGhoYIIXzBoaqqam5u7ieYl1RSUhqSUyQjIiKioqJ8fHyUlZX/8QHBwcFmZmaLFy+GEAPev0MpCTvR3t4eHBw8cNvv6Oi4fv26sbGxmppaV1eXkZERk8lUUVHp7u6Oj4/X0NDAhfkzMzOTkpKsra0VFRWzsrJsbW2DgoIIBIKMjExWVlZGRsasWbN0dHRw1+ny5csIoZkzZ7a0tPT09Li4uGhqaiKEmEzmkydPHB0dcUl+NTU1hFBeXt7t27epVOrnn39+4sQJhNCiRYtoNNrRo0etra0nT56MEKqoqKisrOw7KXjNmjV9+9pisTghIaGurs7V1RXPsW1ubj527BhCaPbs2T09PVFRUWvWrCGTyZJzetXU1JSWlg6lD0xMTEx0dPQblj3r5eLiQiKR7ty5M4Qnq4CBJQnFPn766acB3f748eN9fX2bm5sLCwvl5OScnZ3FYnFkZOT48eMvXLhgYmKybt06/Ehcau67774Ti8X4Q7Vr165169bJysrGxMScPXv2xIkTYrH4+fPnUVFRioqK69evP3v2bFBQ0M8//5yWllZVVfXdd99dvHhRLBbv2LEDIeTv74+37OnpiX/pZ2VlycvLq6qqRkdHd3R0GBkZbd++/fr168HBwTdv3iwuLvbw8PD29n79Xfz444+GhoZisTg+Pl5BQeHly5disXjFihUIoZCQkLi4uAULFri5uUlODZdnz54dPXp0KFWlWbJkCT64b4/JZJaXl9+5cwdq+rzu7NmzeXl50A59iUSi3ng4+JmN/Pz8ESNGDNDG+Xz+lStX8vLyZs2aRaVSOzo6ZGRkTE1NORzO/fv3GxoaaDSan58fkUjk8/nNzc2ampr29vb+/v4CgQCvRpiSkvLgwQMLCwsnJ6fMzEwmkykQCDQ1NZOSkhQUFIKCgkaPHs1gMP7880+xWPzy5cvHjx/jktPW1ta9fWc2m11bW0smk/X09O7fv6+goLBq1aoJEya0tLRwudyenh6EUGlpaWZmppKS0rRp06qrq3/55Rcej9f7RnJzc//+++9Jkya1tLQUFxerqqrS6XT8swAh5OPjM2HCBAKBgP63uO2g4/P5d+/e/c/q21Lk+PHj06ZNmzNnzjs9S0NDw9DQ8MWLF3fv3oW+IJCmvvPly5enT5/e2dk5QNsXCoUmJiZkMrmiogKvQTV16lQCgVBWVobXRnn69Gnfx8+cORMhdO3aNbFYHBER4ejoiFtp2rRply5d6vtIDw8PPT29zMxMfBsh9OzZs9TUVITQhQsXxGLxqVOnPD09Fy5cmJqaWlVV9fDhQxMTkzNnzvj4+JiYmCQkJFRUVKSmpi5cuHDUqFFisXjBggUmJiYCgSAqKkpZWfnBgwevvBcc7p8/fy4Wi21tbYODg8Vi8bVr13CCpfd2ZGSkhJSBXbp06RDoy+B1h8vLy1tbWz9wU8XFxYcPH4buIfSdpaPvrKmpiWt4DtYO4H7rfxIIBAN3RRMuEzhq1KjOzk6hUNjS0qKsrIy/PKQXk8kMCQkZAt2XpqYmPz8/XV3dD1+fzNbWtqmpCXqE4C0NZnTOz89HCO3du1dOTm7gfl/fuHGDQCCsXbuWTCYrKyvfv39/2rRpampqnp6eWlpajx49am1tLSwsRAgxGIyXL19aW1traGh0d3eLRKKSkpJFixaNHj36zp07WlpatbW1OTk5bW1tTCbT29sbr6hSWloqJydnbm7e2toqJyfn6elZVlbW0tLS1dWVlpbGZDI9PT3JZPLChQtbW1sDAwPHjx/PZrOTkpLMzMyMjIyioqICAgJEIhGfz4+PjycSiYsXL3758qWWllbfN9LV1eXm5vbVV1+pqqqGhoby+fyDBw8ihO7cuYMQ+uyzzxBCcXFxrq6uklCFB++VtE/ViI2NvXbtGoVCGTdu3L/NzXhXP/3006ZNmxISEiD0AImOznQ6faA/wIqKimZmZkpKSrGxsWpqalFRUTwer6amZuvWrVZWVoqKimvWrKFQKHhRbQaDoaWlJScnl52dnZ6eXlhYuHHjxrlz5+I+YGBg4Lx589zc3NTV1alUakJCAovFMjAwsLKyKi8vr6io0NPTGzFiBI1G27179+TJk8+dO4cQio6Ozs7OLi4urq6uVlVV1dPTi4uLa2trc3JyQggVFhay2Wx5efns7Ow1a9a4urrKysoSCIS9e/c+ffq07xtRUlIKCQlRVlbOzMy8ffv2zJkzDQwMcEa79zF4qcPHjx8P+lmVm5u7fft2aY/OMTExM2bM6N+KoAQCYf/+/a2trYsWLYLoA/7jbBms6vtxcXGWlpavrxw4iBgMRnBwcEtLy5EjR/CQ4MeBO85nzpwpLS3FP59TU1NlZGRCQ0PfftVEyVFYWBgfH//dd99J76ciPDzczMxswoQJ8vLyA/QSbDb73r17JBJpypQpn2z0OXfuHNTZeIVYLN67dy+uszFoCV8CgSBRobm376yjo/ORq5i+fPmyublZVVX10KFD+J7r16/fuHGjdzFD6XLr1i2prqoRFhY2duzYgX4LFApl9uzZGzduVFRUDAgIgKgEJCuzIWns7OyePn165coVfX39j/m62trahYWFz549w9UUW1tblZWV9+/fj/Mt0iU5ORlJbcbZ1dV1x44d48eP/2jfLgcOHPDz81u1ahV8+sDrBqfvfPHiRXx1hmR9U8nILF26tKOjg8lkNjc3D3Tdj76+/PLLGTNmJCQkPH78mEQiffbZZ3p6eh++6O3HJxQKJ0yYIHXRubKy8u7du3FxcSQS6SN/KcrIyMyePbumpqaoqAiP7gIwmNFZYmsvbNy4cbBeWlFRccKECdJeQzU9PV0aF0A5cODA/v37VVVVB+XVcQG/K1euQHQGgxyd9+zZ4+XlBU0/xDAYjIcPH1pZWUnXbsfExHR1da1bt26wQnOvb7/9NiYmRlFRkcfjfcrzjuRDAAAgAElEQVRDheD/fld9/Jd0dXUd6FLO4ON7/vx5aWmpdB3Zb775hkgkBgcH4+swB5esrOyUKVPGjRsXHR0dExMDZxT42H3n/Pz8pqYmSfv9fuDAgY6ODnd3dx8fn/5KO7a2toaHhyOETExMnJ2d+04bqq6ufvjwoaenp6Wl5T8+F09zzMjIsLS0pNFoUnEm4QVQpKXKfnR0NIFACAoKGjdunETtGI/H27Nnz44dOzgczty5cyFCfdKGWDm6t9fU1FRdXc1ms3t6enAYtbW17d+XiI2NxY2ckJDQ9/5vv/2WRCKtXLkyPz//3567YcOGUaNG4ToeUuHy5cvSsqtHjx61s7PLzs6W5J0UCoXLly+HOhufcp2Nj9p3Li8vx5WUB5dAIBAIBOHh4VQqddmyZUQisb6+Hndy29vb+3HIPisri0wmq6mptbW19b0/MDBQQ0PDycnp36aFiMViNze3nJycvpcCSrLq6mppqeN89OjRMWPGBAcH43rckptzlJGZO3duTk7Oy5cvYb1NyDsPuKtXr3Z3dw/6e+7q6jI2Nj5y5Mhnn32G98fU1BSHmP6dTeXj49Pa2lpbW/tKAZ3AwMCtW7dOmjQJ1/J/HYFAUFVVtbe39/X1lYrT6MmTJ1JxBcqyZcuoVKqzs7OEh2bMy8uLx+NJSElY8PHJhoaGfpxXwuvsubi4fOSav01NTT/88AORSLx///63335LJpM5HA6dTm9sbMTzWz08PK5evZqRkWFkZDR69GhHR8fU1NTg4OCurq6zZ8+mp6fjmvoeHh6ampo2NjZr1qx58uSJk5PT3LlzVVRUbG1tezOGHR0dhw8fLisri46O7urqyszMzM3NFQgEI0eOLCsrW7hwoa6urrW19fDhw5ctW5aTk+Pp6Xn16lUPD4/nz59zOJyEhIStW7dWVVW5urqSyWQikTi4Bfze8qvuxIkT2dnZEn5JRWxsbH5+vpOTE17vRlo+n0ZGRh4eHtevXxcKhe3t7RoaGkMp+jx9+lRHR+ff+iifrLS0NDyr7SP1ne3t7U+fPu3s7PzxT6/z588fPnyYSqWuXLmSwWDMmDFDLBbPnz+fRqM5ODjgmFJbW4u/Ochksr6+flZWVmVlZWZm5vLly48cOTJ79uz6+vrExET0v2r6LBZr2LBhNjY2uJgR1tjYmJWVFRMTo6+v39XVRSQSHz58qKGhgWsbGRkZOTk57dmzByGEG6G5udnIyMjZ2VlLS6u4uHjRokWbNm2qrKwMCwsrKSkxMjIKDg5WUFCQ8DOpoqJCU1Nz7dq1kryT9+7de/DgQXBw8MSJE6UoNGPy8vKzZs2yt7f/6aefIHJBZqP/zZ49e+TIkR//S7KqqsrDw8PBweHAgQMFBQX4Qolr167t2rWLzWZv376dwWDgFARCKCMjw9DQcOfOnXQ6PSwsTEZGBiFUVlZGIBCKioqeP3/+4sULOzs7hNCwYcMeP3585MgRc3Pz3tcyMzOrq6ujUqmBgYFqamr+/v47d+7EUd7U1HTMmDENDQ22trZpaWl4zVlLS8s7d+6UlZWpq6vv3bu3tLQ0NzcXX4/QW3BD8hUVFZWWlkrsNOdz586NGzfOyMhI2lfIJhKJZ86cqa+vX7p0KYQtiM79pqGhwcDAYFDqDispKUVGRjIYDF9fX21t7ZSUFIQQrtirqKiYnJxMIpEQQtXV1eh/o4JJSUkqKipjxozBQ4UUCqWtrU0sFh85csTGxgZHcw6Hgwt4vuLLL7+cPHkyjUYLDw+/c+dORkaGhoaGkZFRW1tbfX29mpray5cvjYyM8Fgfk8m0tLTU0NDo6elJSkqiUqm6uro1NTV4T6Ti7CksLKyrq5PYjPOdO3fodHpUVNRHWIL94zAwMAgODsY/4wBE5/7pvyxcuHBQUmbq6uoHDx7U19dPSEior693c3MzMzOzsLC4e/due3u7t7c3XpcPR0M8Kujj49Pe3p6QkDB79mwTExM2m/38+XP8E57NZuOi+Gpqajh2v2Lnzp2Ghobl5eVEIvGXX34JCAhgsVh4VNDAwIDD4eAS/hQKBSFEpVLLyspYLBau2f/y5UtcJNrc3Fxa0otFRUUTJ06UzDnO27ZtmzRp0ubNm9XU1CQ/QfT2AgIC/P39v/322/v370P8guj8oR3ngVvU9W36zjiVTKPRZGVl09LSvvvuu3Hjxm3YsEFOTm7Pnj0ZGRkIocrKStwxaWtr+/vvv5WVlUeMGNHe3u7j42NhYbFz586jR48qKSlRKJTm5mbc7X2978xisTQ0NPLy8lgslp2d3ezZs+Pj49XV1fX19dlsdkVFhbKyMs41s1gshBCDwbC0tKRSqVwu98aNGwKBQFZWtrq6etiwYRMnTpT8U4fBYDCZTCaTKYH7Fh4ePnv27CH8ud22bRuLxeqdUA+GpoGeXJ2SkpKSkgKTzP/NxYsXLS0to6Ki8HKuUuTy5cu7d++WtL1aunRpW1sbj8f7kI1UVlZOnTr1r7/++pCrkFasWPHK/X/99RdCCF+2w2AwAgIC6urqSktLPTw85s6d+x4vVFdXt2TJkv5twPv372/atElHR+fo0aP4HoFAcP369ejo6BcvXgzW1ShtbW1kMhkhlJyc3PftT5w48YcffhiUMw0XyE9NTZXiVV9VVVWlsU4x+E94cUVJ2yt5eXkFBYUPLL6qrKzc0NDA5XLf7+mampoEAuH1qf1aWlokEgl/npWUlBQVFfPz84lEora2toaGBh78eCdqampWVlb9W5RDTk5OWVm5q6uroaEB34Nn39NoNDxIM1iHFa8+2vfSAT6f7+7uLtVLPQxmZiM/P5/JZLq4uEAs+zcUCqW7uzshIQEno6VFRESEvr6+5GScb9y4sWnTpqysrCNHjigoKHzgJPGkpCQ5Obk//vjjypUr7/H0ESNGiESi06dPv/47VVNTU0ZGprGxsb6+XiQSFRYWUigULS2tyMjInJyc94jOGzdunDJlSkFBwbJly8rLyz+8JZWVlTU1NVevXn3q1Knp06dfvHhRRkZGTU1tcKOznJwcjs64B93c3JySkqKtrb179+7BuvwY93AHtE79wEbnj7Cuq7S7detWbW3to0ePoqKipKvjjIuTfGT4qs5X3LlzJzExcfv27R4eHv31g2/VqlUEAuHvv//G9+zatcvX15dAICgpKfH5/Nu3bxMIBFzZrrGxccSIEYaGhnhld4QQfmRoaGhbWxubza6qqvrqq69+/PHHe/fusVissLAwKpVqY2MTGxv7/fffy8rKnjlzZsqUKZ9//vl777Cjo6OpqSmdTu+9x9fXF687/K5EIlFPT8/nn38+bty4qKiouLi4Vx7Q2NgYHh5OIBC2bNnyrht/7736v4AlI8Pj8XJycsaMGfPKt8Uvv/zi5ubWd7A0IiIiJCQkLy+vqakJIXTy5EkCgeDg4BAeHi4rK3vhwoXXt3/v3r3vvvuO0EdpaalQKNy8ebOnp+e4ceMiIiLw1wP+L/7+DgkJIRAIdnZ2HA7H0dHxwoULvb+c9u/f7+Ligh/822+/vduizAOXl8nLyzt9+jRklocYOp2+bNmy0aNHr1u37uO/Oj5pZWVl1dXVs7KycEmj0tLS/tp+d3d3Xl5eRUXF5cuX3d3dFy5cWFJSgv+VkZEhLy/v7u4uFovb29sfPHjA5XIPHjwoLy+fkZEhFot9fX0nTZokFArPnz9vZma2YMGCioqK9evXT5gwITc3l8fj/fHHHxoaGtevX2cwGL1JxuLi4s2bNzc0NPTXMMa1a9d8fHx8fHzer8zTo0ePDh06xGKx8vLyzMzMqFQqXga+srKSxWLhr+T169eLxeJ169bp6+u3tLS8/cZ7v9EpFEp+fv7b550FAgFeLeiHH34gkUjh4eF9//vs2bNLly6tWbOmtLQUf8mVlZWdOHHCz8/v3Llz1tbWy5YtE4vFJSUlOO/EYDCqqqrU1NQmTJjAZrPxRtrb2/FAvaura0VFRWJiYlBQ0Llz55qamvAvidzc3OTk5EWLFt25c6e0tHTWrFm9owh4WpeqqmpRUdGzZ8+MjY3Hjh1bXFx88+bNyZMnHz9+fNOmTT4+PhKUd1ZWVsbzz8BQ0tTUdPbs2YyMDNyB+sjwPgiFwra2ttGjRy9dulRfX//fCrG+Bz6f39nZaWZm5uvrW1RUdPnyZfxTGiHEYrEWL15sZGR08eLFpqYmsVjMYrEKCws3b97M4/F27NghFAo3bNhQU1NTWVlZWVlpa2vL4/EOHTrk4eHh4uKioKBAp9MdHR0LCwvx50IgEHR3d+fk5KxevVpPT69f9t/GxuaLL75ISkpKSkpyd3d/p7ZVVFQkk8kEAgHnhZydnfGyh/v27UtKSiISiTIyMqmpqb3JX1VV1YaGhmPHjqmpqb3lS6xbtw7vJ5vNdnZ2joyMfMtjl5qaamVltW7duqampo6OjldmfDMYjDlz5mhpaVlaWt6+fdvPz8/CwuLgwYPJycn6+vozZsxwc3NDCF28eBHXhlRVVf3tt9/s7OzGjRv37NkzvBGBQGBqatrY2IhzJtOmTcPTamtqagoKCqqrq21tbZ2cnNLS0n7//ffGxkYGgxEaGqqtrd3W1vbXX3+RSKQNGzYYGxtfv369paUlOTn55s2bM2bMGDly5LJly44ePerl5fVKNbR/7CvjFh7wzEZiYuLkyZMhnA0xjx49+vbbb0NCQgZ3NwwMDOzs7KqqquLi4vCk9f7K2MjLy3d1ddFotK1bt/b09Fy6dAn/a8KECYGBgS9evHj06NHLly/NzMwUFBRwd7W9vX3RokUUCmXhwoW5ubmurq5mZmaZmZkdHR1GRkanTp3C8w5Hjx5dVVXFZDJxzRkikYi7qCKRqF92vqurSyQSLVmy5L1r2rW2tuKOKv4zICDAx8cnNjb2+vXrqqqqRCKxb3IcD732PvhdM+bTpk0LCQkpKyt7m8d7eXmVlpYePHgwLCxsx44dsbGxa9as6W23wsJCCwuLmJiY1atXb9u2zdPTMzo62sXFxdLS8o8//pCXl+fz+QihuXPndnR0XL58WVFREV+Ou2nTpt27d+ONEInEqqoqPT09b2/vlpaWu3fvurq67t69u7Gxsa2tzc3Nrbq6uqKiwsfHp7Gxsbi4WFtbOzQ0tLm5WV1d/csvv+zo6IiMjCSRSF999ZWcnJypqemMGTNu3rz55MmTP//8c/Xq1bdu3XqlGtrrCARC33WjBio6h4WF2dvbQywbejQ0NEgkEpFIjIqKGqzMhp6enq6u7po1axITE4VC4YEDB/rr3VVXV3t4eCgrKxMIhO3btwsEgrt37/YGo6CgIFlZ2aNHj7a2tqqoqHR0dAiFQjMzMzabXV1dTSaT8XWhFAqlsrKyra1NXl6+trZWX1+fSqUihKhUKo/HS05O7v1Nqaend/DgQSMjo37Z+ZSUlPPnz8vJyeno6CxYsOBd25bH472ef586dSqfz29ubsaDcv9Y0pbD4bzTERw+fLi6uvqGDRve4z3i8uhaWlpHjhw5ffq0UCjs/ZeLi8vChQtDQ0NDQ0PNzMwEAoGZmdn06dNDQ0NXr179n1smkUhaWlpubm7Nzc15eXkJCQmBgYEbNmzo6urq7Ox8j121tbWdPn26vLx8QUEBk8n08/OTlFFBKpWqrKw8BIJRamrqvHnzmEwmPkKdnZ29t9PS0lxdXfsOxQx5WVlZTCbTy8srKChoUIYx8SozW7ZsWbp06eLFi/FQj4aGxvLly8PCwj7wWFy/fp1Op/fGkfb2dn9//wcPHvSd6+bo6KioqGhoaKipqamrq+vh4UEmkxUVFXNzc5ubm0+dOjVt2rTei5uMjY1HjRrVWwX02rVrVCrVysoKB6nU1NS9e/fOmzcvKyvrA5slISFh8+bNHA5n7dq1EREReLzu9u3bH97g+vr6sbGxISEh3d3dMjIyu3btwp8ChFBLSwuNRnun2oQTJ06cMGHCypUra2tr32/CT09Pj5qaWmFhobOz89KlS//44w8Wi+Xm5rZ06dKnT5+eP38+Ly8vMjJSRUVl+PDhjx49ys7OrqyszMvL6zvsibv8DAbD39//2rVrvekyPp/v5uYWERERFBQUFhb2ww8/aGhojBs3bvz48Vwul8/ns9ns7u7u3bt3+/r69vYV3vA7rLS0dMqUKbt37z558uT7jKIPRAcnOTlZAq9TeD/5+fkeHh6rVq3Cf167dm3NmjX49sqVK11cXD6pIUHJvAIFmzhx4vLly7u6ut7v6Tk5Oebm5seOHet755w5c/DQf1VVFb7nhx9+0NfX7+jowH9mZ2cHBAScO3cuICBg7dq1+M5NmzYhhDZv3iwWi3ur92lra0+dOlVBQUFdXR3v5NGjR52dnYOCgt6wRM5/ys3NPX36dFBQ0Ndff/3hbYgvPAkJCXlloDUmJqa2tra1tbW9vd3Jycnb21ssFgcEBBw/fvwjX42Snp6O78FdbyMjIy8vr87OTg6Hg+tHBgcHX79+XSwWZ2Zm4pb39vY+c+ZM76ighoZGZWXlo0ePaDRa32tJqqqqHj582Dc2/vzzzwUFBWKx+M6dO0uXLo2Ojt61a9fKlSvx46dNm4YQOnXqFD55EELGxsb4iKipqRkYGMTGxvZ+ddFoNHw+vNOoIOE/vwHeQ0REhIRX+30PPB7vm2++OXnyZGpq6oBOcpRYx48fz8zMPHXqlGTuXnl5+a+//qqoqOjr6xsYGDiUamv8o+7u7q6uro0bN4aEhNDpdDyFQLqcO3fOycmp75KbA6q0tNTa2trS0vIf1/ERCoUikWjbtm1CoRAv0J6RkfH06dMnT568X1UyNpvNZrMPHTpEpVJFIlFubu7MmTNfWWL0H7vLe/fuxRciEvv9/Tc1NY0aNUpyzoC8vLzbt2/TaLTu7m48ZhoSEmJhYVFSUlJaWmppaamjo5OdnW1ra6unp/fkyRNtbW0Oh5Obm+vs7Ozi4pKdnR0bG7tkyRJNTc3s7Oy+Wz516hReaEMoFFZWVhobG1tZWUVHR5uZmTk4OOTn50dFRdnY2AgEAhaLxWKxbGxspLr4A5PJlKgj+woLC4uIiIiYmJiYmBgCgWBlZSWxdU0/XE9PD14EHfcNYTjkw3G53La2Njs7u88//xxH5xMnTvT09Lz3lU2VlZW5ubnTpk3z9/cXiURXrlyRlZXF6fvByTs3NDQkJibiIsgSwsXFJSIi4uuvv7a3tw8NDb18+fLChQsRQiUlJWFhYampqVeuXDl+/HhGRkZxcfHp06cXLlzo5ORUWFjY0tKCQ1JkZOSSJUsaGxv3799vZmaGU284b7h+/XoTE5OqqqrVq1ffu3cPIVRfX//HH3/gvvauXbuWLFny6NGjJUuWxMXFLVy4ENc/kkZXrlwhk8lLliyR8P2cMmXKiRMnUlJS8vLycLnXoYfFYtXU1Jw4ceLRo0cnT56EwPr2X2m4j/yP/1VVVdXV1S0rK0tLS8P3kEikuXPn/mOt4LeBxxjKy8u5XG5dXR3OurzTXIn+XxVp1qxZEvWjsrCwsKOjw97eHpfK09DQePny5dWrV+/cucNgMGxsbGg02tmzZ7/77rsff/yxp6cnKysrNDQ0ODgYT39pa2tjsVhjx46lUChJSUlsNru3q9La2mpubt7Y2Hjjxo3W1lZ85RiDwYiOjj5y5Age3R41atTPP/8sEAjYbLacnNxA5JE+AryoqxT10ZYtW/b333/v27dv/vz5BgYGeMrE0JCcnNzW1pacnDx58mS8VgN4Szweb+fOnbgL9XrMlZWVlZWVnTt3blVV1Z49e+Tl5efNm/ch60+amJiYmJgIhcILFy6QyeS+U+UGITqHhYWNHTvWwcFBog6Jg4MDiUQqKiri8Xjq6uqGhoZZWVlFRUU1NTXOzs4NDQ0sFsvExOTx48fp6elHjx598ODBrl27wsPD09PTEULq6uoUCuXhw4ezZ8/28fG5dOlScnLyDz/8gBAik8nPnz9vbm4Wi8VWVla44rOFhUVdXV1aWpqhoSEO7rgIlJWVVVlZGZPJlMZI0d7ebmVlJZl1nP8ty2FhYbFq1aqtW7fW1NQkJiYOjcXrRCLRpUuX/Pz8Dh48CNH2Xbm5ueHLUt7Azs7Ozs5u0qRJ/fWi48aNGzdu3Ps9t98yG3Q63crKqncJVEnrO9va2pJIJLFY3NzcPGzYMBMTEyUlpRcvXpiYmFhbW1dVVSGEbGxs6urqEhMTcRVKfBkCLpXg7e3d23fu/Q5sbW01MjISCAR8Pr+2thYPHVRUVFhbWxsZGeHZXbiOPofDKS0tVVVVldJOXG5u7j8OpEi4iIiIn3/+eeTIkVevXo2Nje2XIkGDoncof9asWfr6+l988QWE2k9Bv0VnfDUUjUaTtHdYVFTU2dlpZ2enoqKCo7Ojo6OJiYmysnJJSYmJiYmNjQ2e0GpnZ1dSUmJpablgwQL8fYMDK5vN9vHxoVAoycnJbDa7twvZ1tZmbGwsFAp7enp6o3NlZWXf6IzDMZfLLSsrk97oXFNTg5dklDoODg5//vmnm5vbgwcPKioqpDo6NzU1Xbt2TUoPBHgP/ZbZyMnJkcxydPb29jgQ5+XlpaSkBAYG2tra4mUGx40bt2vXrra2th9//NHV1bX3+rfOzs5ffvnF1dW1vLyczWZTKJRdu3ZFRUVdvnx56tSphw8ftrKyqqysbG1tTUhIGD169M6dO93c3Pbu3auvr+/n56eiolJfX8/hcBBCSUlJtbW1DQ0NlpaWeMBBumbjMRiMhw8fSvvkhzFjxly4cOHFixdcLtfR0VGK3o5QKBQKhdevX09JSYG6CJ+cfrxOQWIvoEAIff7551Be7j0kJSXt3r2774IU0is1NXXp0qWXLl1qb2+Xln0+ePBge3v768usDA1vfzXKp6Pv1Sj903c+f/68xA4ZDRs2jEQiFRcXt7e3wyot79F3o1KpUjQe+Aaenp54gcfw8HBfX19DQ0M8ciuZkpOTu7u7q6urSSTSsWPH4FSEvPN7am9vf7/LaQbay5cvnz592tHRIRAIampq4Hi/k8LCwtzcXEmbhPMhpkyZMnnyZGtr62vXrt24caOnp+ffZr8Oory8vGPHjp05c6anp+ebb76B8xDyzh9EYge7tLS05syZg6slgHd169Ytb2/vodFx7oUn282cOXPFihWHDh0aM2bMmDFjJGoPr1y5wmKxOjo6+nFeF/hEo3NERER/rRgEJEdWVhaVSh3CC49NnjxZUVExMjLSxcWld9m6wdXW1lZVVdXS0jJlyhRckhhAdH5/RUVFVCoVovPQg2ulDu3ojDuqv/76K51OP3z4sIyMzCDuT0dHx/r165WVlYlEIq5/Bj5xH3o6JicnS2NxLPBm3d3dBQUF73HtqdQ5efLkyJEjRSJRTEzMIO7G9u3bExMTp02btn79elynBYAPjc5DqYLB23v69OmFCxfmzZuH66wPPb/99tujR498fHw+haPp7+8fERFx7dq1mTNn7tu37yO/empq6ubNmxkMhoKCwrRp08zNzSEqAez9Mxt//vnnyZMne1ddA0OJsbFxUFDQJ/WWZ8yYIRAI2traNm7c2I9LYb1Zbm5uQUGBt7e3SCR678UAAUTnV3V1daWkpOCVHyWZUCg8depUcnKynZ2dk5NTUVGRvLy8t7f3unXrUlNTL168+OWXX/Y+mMPh+Pj4ODk5nTlz5g3bdHJyevbsGZfLNTMzG3rnRERERGdn56eWsJoxYwZCKDo6+smTJ6GhoSNGjJg4ceLAvZxIJIqLi0tNTWUwGF9//TVEItCfmY3W1lYFBYX3Lk390cjKyl66dKm6unrbtm2TJ0/W1dVNSkpydXX96quvEEJJSUl9H6ympubo6Hju3Lk3F/3Jzs5ub2+X6lL6/6awsJBKpQ4fPvzT/DxMnToV1+W4efMmLh0zENra2urr66Oiovbt23f69GkIQ6A/+84RERHS8kPM1dU1Ly8vIiIC/zlv3jwKhZKZmYkLhL6eWj179uzZs2ffvE13d3d3d/cheUKkpKQwmcxPfKTXxsaGQCDs2LFjwoQJ3t7eeMG6flFbW1tRUXH+/HkymQwTM0D/R2f8AR7EWXRVVVXW1tY+Pj7379//zw7+zZs37e3tV61aJSMjs3jxYiKROGXKFITQ06dPz507l5ycTKfTcYkZV1fX1tZWvLB5Xl4ej8fDCzWtW7fO0tIyPj5+ypQpS5cufeUlli1bJhaLAwMDCQTCzJkzpf2EoFKpQ29NyHdlaWlpaWlJIBBiY2NTU1P379/fjz9N4uLi3pw3A+D9MxtsNnv69OmDsrsCgaC5uXnZsmU9PT0JCQmzZs16c9FedXV1fX19XJMsNDQ0MDAQr0eFEMJVQ7lcbnNzc1VV1dKlS//66y9nZ2d9fX0KhaKhoWFjY4MXUCgoKBAKhfX19atWrSorK+u7/StXruCoXVVVNQTmbxQWFuIldgBCaNKkSceOHWtpaYmJieldzehD/P3337du3YLRPzCA0ZnH4w1W7YWWlpampqbk5GT859WrV1tbW9/weAKBICcnFxkZqaWlRafTHz58qKWlVVRU1BudAwMDf/75Z0dHR4RQe3t7ZWVlQ0MDhUIxMjJqbW3Fy5188803a9asWb9+vUAgwPmQXgkJCXV1dQoKCps2bcLLv0r12XDr1q1PNuP8byZMmJCQkHDz5k28buT7aWxszMnJuXPnzsmTJ+H6bDBQ0bmurm4QK72pqKjcuHGj77qFubm5b3i8UCh88OCBvb09g8HIzc1dtmwZQigkJCQjI8PCwgIhhOMvviKuoqJCT0/PyMiIzWbX1taSyWRc2gkvBkgmk83MzG7cuNG3j7x69eopU6ZMmDBh7NixfD6fQCBI76lw586d3qYAvYKDgw8fPtzV1fX3339v2rSppKTknZ4uEomEQuG+ffuOHj0Ki2eDgY3OHA5nED/A8vLymzdv7juNb5qfdywAAB6DSURBVPz48W94vFgsjo2N7e7uRgi5uLiEhobq6ekJBILff/8d/4TH8ReXr8NLuNbW1vb2nXH/mkwmI4QoFAquuN93Fp2zs3N0dLSLi0tqauqdO3fi4uKk91TIzc3dvn07ROd/dOzYsf3797NYrOzs7Kamprd/YnV19fLly/39/U+fPg3DgGBgo3NycvIglpSUl5dXUVGpqqravXv3+fPnxWLxm6MJk8lsb29fuXIl/hOXrGMymRcuXMBlFqKjoxFCeJzw6tWrenp6u3btYrFYoaGhZDIZr+CbmJiIv5b09PS8vb37pi8SEhKioqKePHmyZcuWGzduoP+t4CV1CgsLlZSU4PPwZlOnTm1sbNyxY0d+fj6Xy/3PT8rixYv37t07bdo0CVxvE0i+d5uzkZWVJQl9KwqF8parqxEIBAUFBVVV1fT09Pv379fU1Dg6Op4/f766uvr58+e4a1NXV4dXnGOz2ffv36+oqBCJRH///fe6detwpqKhoaG+vj4/P3/u3LmzZs3q23OXk5NLSkri8/m6urpr166dOHHi4FbSeT8MBiMlJQUyzm8TnRFCMTEx6enpERERISEh/1helc/nd3d3nz9//tSpU9Bo4CNF58rKSnt7eyl6ezQa7ffff8e3Xynju23btm3btuHbW7Zs2bJlC76Nl3zF8LUqXl5eBgYGW7dufX37Pj4+Q6AYxfPnz6W0yz8opkyZgkeDU1NTFRQURowY8coD9u/f//rMSwAGMDqfP3/e2Nh4KK2U8Wa9eWd1dfWh/U7pdPqECROgDOzbCwgIIBAIBALh4sWLbW1t5ubmuHrRlStXGAyGioqKtrY2dJzBB3qHn+EKCgqf1KAzmUzW1dVFCLFYrKH9TktLSyE0vyt/f38/Pz8ej3fhwoW8vLyenp6LFy/euHHj0aNHpqam0D7g4/Wdw8LChtgKRv8pPz8/MDAwMDBQ8is9vbfCwsKbN29aWlrCJ+H9nDhxIioq6vbt21FRUQgheXn5yMhIaJa3FB0d/fjxY21tbWiKvnqvCCPgybz/6cqVK/b29p9OWuMTsX///hs3buzbt8/X1xda40OYmpquW7du7dq10BRvT05OTiQSiUQiaIq+fHx8Hj58+LZ95/j4eCsrq0+z0P7QJhAIEEIQmsGg6OnpgUZ4g//OO//+++9qamp2dnY4CQuGjKysLHNz8ydPnkBTACCV0ZlGo6mpqfW9eBp8BJs2bdq7d++AvkR8fDx84wIgrdE5KyuLyWRCuvkjS01NJZPJRUVFr5TE60cRERFWVlaf2kgvAEMnOsfHx0O134/Py8uLy+UOGzZs4GZTUKlU+NIFQJIR39xxdnV1hTYaFAOa1mAwGEwmE64PBEBa+87x8fGDWCy0H+no6BAIBA8PDwKBYGFhsXnzZlx/49mzZ83NzQih+/fvOzg4REREnD9/nkAg4CLO9+7dw9eDDR8+nEgk6ujoODk54dk/M2bMsLOzO3z4ML4eLDIykkAgzJkzByFUV1eHn1JXV6elpaWoqPjjjz/i3VixYgWDwUAIrVy5ctmyZVevXp05c2ZLSwudTicQCDo6Ovv27fP391dQUPjss88UFBQ0NDQQQiUlJTIyMgQCYfHixRoaGgQCgUaj4fBaWlo6derU5cuXL126VEZGZsqUKTt37ly5cmVsbKyfn9/8+fP/rUEePnzIZDIhrQGAVEbnuro6KpU6BGprlZaWdnZ2mpqanjx5cuPGjfX19SoqKs+fP3d3d9+6dSuXy+3o6IiIiGhpadHW1sbFQs+fP48Q4vP5CCESiXTq1KnKykoej8fhcDo7O48ePZqYmDhx4kQLC4sXL150d3c3NDSg/xUjbWxs1NTUHD16tJKSko2NDZFILC4urq2tbWhoCAkJoVAox48fz83NXbBgAZVKffHiRX19fVNTk4uLi6qqqpGR0aZNm7y8vCwsLDw8PIyMjBobG7Ozs/X09JSVlQUCQUVFxZIlSzo7Ox88eHDv3r3p06fX1tYuWLAA7/a+fftevnxZXFysrKx88ODBwMBADofzeoPgBVCg1jAA0hqdz549u2rVKhqNJu3v0MrKSl1dvaqqSiAQTJ06FQfT1tZWW1tbHo+XkZFBIpGioqLodLq7u/uLFy8QQsXFxQghCoWCEOro6FBSUjIyMtLU1Kyurj5x4kRaWhqXy/31118nTZp08eJFBQUFXLcPV+U3MTFpaWl5+PChpqbm7du3aTTapUuXYmNje3p6DA0NY2JiUlNTMzMzx4wZ4+/vX1RUlJqaampqmpeX19LSMmfOnICAgMTExN27d6enp1dVVenp6Y0dO5bBYHR2dg4fPpxCoSgoKHR0dDCZTC6Xq6CgoKenl52draioKBaLHz9+HBAQkJKS4ufn99NPP8nJyf3jcqVFRUUTJ06EjjMAUhmd6+rqhkzGuby8nMPhmJub6+np4VViDQ0NDQwMKioqKisrcWB99OjRpk2bEhMT8W8F3BXFa2KpqalpaGjU19ezWCxjY2MzM7PCwkJVVdW1a9eKxeLGxkaEUFVVVW/fubq6WlNT08vLi8FgyMnJ4S5qYmIim82mUChaWloFBQUjRozIysoSi8VisXjNmjXV1dUuLi7GxsZ5eXl4n2tra93c3IyNjRsbG9PS0nR0dNTU1AQCAZfLlZWVJZFI3d3dnp6eEyZMqK2tNTQ0rK+vt7e3Hzt27KhRo9auXauhoXH9+vXo6OjXFwmEjDMA0h2d6XT6EOg1/yeRSCQWi9ls9qlTpw4cONDQ0CAvL/9/TfP/V2omEAgikcjKysrT05PH4zEYDB6Px2azX9kmrs2P09MkEunzzz9HCN27d49MJpNIJHNz87Fjx7a0tFRXV+Po/PoWXj1C//9u4D9FIpGZmdnGjRu3bt2anp7+2Wef5eTk6Ovrt7a2hoeHJyQkTJw4sbS0tKSkBF8N2AtPkYSOMwDSGp2VlZWHzEoZFhYWampqFRUVjY2NgYGB+JdBfX29ubm5iYlJdXX106dPcQgrLCzs7Ozs7TXjQTkOh8NisQwMDKhUal1dHYfDWbFiRU9Pz6VLl+Lj4/ECsn5+fgih7OxshBCXy21paUlJSaHRaDIyMr6+vt9//72qqiqJRJKVlZWRkVm6dGlTU9PKlSsfP3787NkzOp2Oe801NTUuLi54n42MjHJycmpqavT09Ly8vOh0OofDIRKJqqqqYrG4o6NDQUHh5s2bISEhhYWFW7Zs+eKLLxQUFPh8flpamlgsdnFxMTU1NTMz8/f3JxL/v2k5eHkqOO8BkHz/UAUpKyuLwWAMmZWD//zzz/r6ehkZmbFjx+Jq+iYmJiYmJvh2UFCQs7NzUlJSVlbWuHHjjI2Nr1+/7urqamBgkJOTk5OTgxBavHjxkydPCgsLEUJz5861tLSk0+mXLl0yMTEJCgoiEAhdXV1dXV1//vlnT0+Pn58fXojWw8MDl+UsLi4mkUh915TJzMy8e/eug4PD9OnTZWVl4+Pjnzx5oqioqKio+M033xAIhHv37uF7RowYkZqaiivF2NnZ0Wi06urq6upqa2trFxeXiIiIyMjI3t73mjVrgoODjYyMcM565cqVOHXeKyIiQl9fH1a3GwhQBQl8jOgM5eikwpUrV65evTp79uwvvvhCKBQKhcLFixcvXLhw3Lhx//aUsLAwb29vSGtAdAZSgfh6xxku3ZYKnZ2dlZWVFAqFx+Px+fzS0lIvL69/C818Pj88PJzP5xsZGUHTASCV0bmrqwsG9KWCqqqqtbV1Xl6eu7t7R0eHSCR68+T0goICKAwPgLRG54kTJwYFBS1btgzaRfLNnDlz5syZ+DaZTNbX13/Dg58+faqsrAyNBoBURuekpKQRI0YsWLAAioUOMYWFhYWFhb0LkAMApCw6a2lp2draQmgeem7duoUQ6jtpBAAg+f5vvnNycvKsWbOgRYaYrKwsKpU6b948aAoApLLvPH78eAMDg9DQUGiRoUROTq6lpaWlpQWKdAMgrX3nr7/+2tDQEJpjiOnp6VFXV//yyy+hKQCQ1r7z1KlTp06dCs0BAACS1XcGALy3mpqa4ODgV66bB+AD/cOV3ACAfoc/aAQCAZoCQN8ZAAAgOgMAAIDoDMBHtmHDhlGjRhH+B5efraqqmj9/vpyc3OrVq6GJQL+DvDMA/00oFCYkJCQkJCQnJ7u5uR0/fhzfX1BQUFVVZW1tbWNj8+YtQN4ZQHQGYEDglcZMTEzq6uqam5tpNBqPx6uurv7PuAzRGbwfyGwA8NZ9GQKBRCIhhLhcLkKIz+dDtAUQnQEY/NBMIBACAwPx0mJCobC5ubm3ahibzQ4PD4+Jibly5cry5cvxnfPnz1+zZs2zZ8+0tLRYLBaPx4NmBBCdARgQo0aNCgoKSk9Pj4+PZzAYampq+P7jx4/fvXt35MiRvr6+UVFRxcXFQqHwwYMHbDZ72LBhISEh7e3tfD4fGhC8Q4cA8s4AvL2Ojo6Ojg5TU1MCgdDS0qKoqIgQ4vF4NBpNIBCsXbtWVlaWSCT6+vp6e3tHRESsWbNGJBJt2rRp586dcnJycnJy0IbgLRGhCQB4e7KysgoKCq+nm0UiEULom2++UVFRUVVVxXeuWrWKx+N9++23hw8f1tPTGzly5IgRI6ANwVuCzAYAH0pRUdHPz8/IyKixsZHL5XI4nKamJi6Xm5ycvG7duv379/P5/HXr1sXHx0NbAYjOAHxU9vb2WlpaBw8efPToUWxsLJ/P7+rqOnr0qIyMzNKlS7W1tQ8cOBAQEAANBd4e5J0BeAdnz56trq7Gt4lEoqenp4+PD/6TwWCcOHFCX18/ODiYRCK1trYWFhbq6+tfvHhxzpw5ZmZmCOY7A4jOAEgauBoFvCvIbAAAAERnAAAAEJ0B+Dj4fD6erQFNASA6AyBBmpqaxowZc+jQoTc8Bl8IDm0FIDoD8PEYGxsjhNTV1aEpAERnAACA6AwAAACiMwAAAIjOAAAA0RkAAABEZwAAgOgMAAAAojMAAEB0BgAAANEZAAAARGcAAIDoDAAAAKIzAABAdAYAAADRGQAAPhGw6isAH2TXrl0ikSghIcHS0tLU1NTHx6d3lW4APgQRmgCAD3H79u2mpiY6nf7o0aPZs2cPGzYM2gT0C8hsAPBB8vLy6HQ6vn358mVoENBfILMBwAdxd3cvKSlpb2/X0NCgUqmlpaXQJgCiMwASQV5evqenh0QikUik5uZmaBDQLyCzAcCHotFoeMltJycnaA3QX2RDQ0OhFQD4ECoqKo2NjTY2Nvfu3YPWANB3BkBSuLi45OTkyMvLQ1OAfgR5ZyDFVqxYoa+vb2hoOLi7IRaLRSKRjIwMgUAY9DZJSUnZtm2bubk5nB7SDuY7Aymmq6vr5eUFV3/0VV9f39DQANF5CIDMBgAAQHQGAAAA0RkAACA6AwAAgOgMAAAQnQEAAEB0BgAAANEZAAAgOgMAAIDoDAAAEJ0BGGxcLldBQSEgIAAh9MsvvxAIhISEBISQtbU1gUDgcrmvP6Wnp8fQ0FBdXb2srIzJZA7EXpWXlxcVFeHb+/fvl5WVvXr16gduMzU1lc/nwxGH6AyAdBAKhaqqqt999x2+jRDC5b3Gjx+vpqYmEolefwqRSCQSiTIyA/gR2LNnT290dnJycnNzo9FoH7LBsrKyH3/88R/fDoDoDIAkEovFKioqr6+4qqurSyaTB6UQY1RU1JkzZ0gkEv5z/PjxmZmZH1KwKTc318rK6unTp0QiFC/7JMBhBkMBhUKprq5+/f4tW7Zs2bIF305OTi4vL9fW1h4zZgyFQul9jKKiIpvN/v333xFCZmZm8+bNQwg9efLk8ePHs2bN0tHReaWTLhKJbt++XV5e7ujo6Obmpq2tjRASCAQvXryIjY21t7efMmVKcnLyihUrEEJ//fXXy5cvJ06ceOzYMYTQ5MmT3d3d29vb29vbb9y4IS8vP3/+fHl5+Zs3bzY3N4tEIldX16KiIg6HM23aNAqFoqGhgV/32bNnc+bMQQh1dHRcvHjR0tLSxcWFx+NdunRJKBTOnj2bSqUO6O8AMDidDgCkVGho6MOHD1+5c9++fQihe/fu9d4TERHh4uJy9uxZsVg8efJkb29vXJHZxMSETCaXl5c3NzdHRkZyOByxWMzj8VxdXcePHy8Wiy0tLa9evdp34ytWrJCXl8/NzRWLxQYGBo6OjmKxuK6uTklJadGiRWVlZRs2bFi0aJFYLB4/fjxCKDY2Fj9x2rRpCKE//vhDLBaPHTvWwMCgsbExJyfH2Nj41KlTJSUlq1evVlVVXb9+fXFx8ddffy0rKztnzpy+L/3111/jXwM9PT1isdjf319RUZHBYDQ1NWlqalpZWXV2dorF4rCwsOTkZDg3hgDoO4Ohz93dXSwW4yL9LBaru7u773/l5OTKy8s9PDxUVVURQrW1tfn5+dOnT8d9l/Ly8r4PHjduXFdXl6qqand3d0dHB14Ppa6urqurSygUWlhYHDx48A17QiAQhEIhnU5XVlYmEomKiopNTU0lJSW+vr6ysrI0Gs3ExERJSUlOTk4oFP7jYCZCCPeR6+rqZGVllZWV+Xx+a2trS0tLc3OziYkJHG7IbAAgNRwcHCwsLE6dOsXj8Wg0Wl1dXd///vLLL1lZWaamphcuXJCVlc3Nze0ddisrK3tlUyNGjNDV1U1OTp40aRKO5gihkpIShNDbTKVobW0tLS1ta2vD+RD8rOrqakVFxbfPJvN4vM7Ozvr6eiUlpd6gj79XIDoPJZCoAkMfj8drbW2tr6/X09N7fXEpV1dXfX39kpKSvnMhBALBP26qrq4uIyOjs7NTR0fnlcFGPFcEAIjOALytK1euzJw5U0ZGRlNTs6ur65X/BgQEbNmy5enTp3PmzKmurp40aZKBgUFaWlpBQUF5eXlqamrfB58+fXrz5s1KSkrd3d09PT34Ti8vLwKBkJOT093dXV1d/fjxY4QQlUpFCHV0dNTW1vY+XV1d3dbW1sbGpq2trbu7m8PhGBoa+vv7c7ncV/Itr+sdIWxra5ORkfH09Ozs7Ozs7ORyuSoqKqampu7u7nCsIToDILkaGxsRQu3t7b33aGtrOzg4REZGjh8/Xk5OrqmpKT8/n06nCwQCkUjEZrP19fUNDAxu3LgREhKioqLy/fffM5lMJyenFStWeHl59d24np4ejUY7duzYmjVr8OwLDodjYGDg5ubW1dWlqKgYEhJia2uLEJo8eTJCaNasWf+vvbsPaart4wB+nW2p7ZibTnEjHd6a2NaLlbUkyJKKQNebglmpUZlSJlQQaBFlGf0R/tEb5R+9mGKhhlqGCzOWFGItp0lOzW22VkubWnP5trndf5znGT633WU9N89T9v38Na7J2eE67MvldXZ+v0ePHhFCmPBl1tdr1qyZMWPGy5cvGxsbU1JS1q5da7VaR0dHmfNxJbUr/Rlr166lKMpkMuXn5zscjtjYWKlU2tzcrNFooqOjc3NzuVwurv5Ugp7c8AvLyclZsWIFur6Ol5ubGxUVFRUVhanA2hkAAJDOAABIZwAAQDoDAADSGQAA6QwAAN8LT3IDfMPbt297enpomg4NDR3/qKFarVYqlQKBIDw8PDw8fPIHrKqqUqlUUqlUKpXOnTsXMwxYOwP8iIsXLyYmJl65cuX169fjx2maVqlUhYWFzc3NkzyUVqu12+0Wi0WlUpWWlrpq8wNg7Qzw3VatWiUSiWbPns3n8//jy8PhsNnsSR5kcHDw6tWrPB4vKCiIqU6HiQWkM/zu7Ha73W4vLS3V6XSJiYleXl75+fnMWyKRKDU19cmTJy0tLWlpadOmTSOEdHR0lJSUhIWFbdq0icPhNDU1DQwMDA8Pf/78mQno6upqnU63ePHiv6t8ZDQab9686efnl5CQwOVy6+rqtmzZ8u7dO7lcrtVqAwIC3N3dR0dHKYp69OiRXq9PTk6mKIrFYvX39xcWFvr4+MTHx3M4nPv376tUKj6fv2fPnrKyMkLIhg0bPD09cU2RzgBTQWZmZkFBgU6nEwqFYrH4wIEDhw4dOnfu3OHDhzMzM9lsdkBAQGBgIBPNSUlJBoOhrq7u4sWLM2fONJlMjY2NxcXFu3fvFgqFarX63r17c+bMycjIqKurM5lME5fP2dnZpaWlnZ2dlZWVvr6+LS0tUVFRS5YsqayslMvl6enpJSUlIyMjL168GBwcvHTpUkFBgUqliomJaW1tffz4cVFRUU9PT1hY2L59+7Zt27Zu3TqappcvX15WVlZRUVFeXr5x40Zc098B9p1h6tPr9UNDQx8/fiSEfPr0yWAw0DQ9Z84cQggzyOFwRCIR865CoWDKCQmFwp6enmfPnjH5S1EUm83u6Oioqqry8PCgKMrf399VptnFarXeuXOHCXqhUDg0NKRUKr94VhKJJD4+nsvlcrnc2tpanU5XU1PT1dXl6enJ4/GsVmt/fz/z0dOmTQsODl69erVcLo+MjMQFRToDTBEKhcLpdHZ3dxcUFLia7y1YsIAQ0tDQ0NfXNzY2xmwENzU19fb2usrqE0Ly8/OZiGSz2W5ubnq93mg0Mi1R3NzcmBQeT6VStba2MkdgSoy5dlH+ws3NzdUT1sPDw2Kx1NTUNDc3UxTl6+vb39+v0WiY+vpcLtfT0zMjI+Pu3bt/6XMISGeAX5hGoykvLzcajTExMa5BoVAolUptNptCoTCZTMyg0WhkgvgLXxUWi8PhMN2kvtJflanmPPm7heM5nU4+nz8yMmK3251OZ0VFBbO0B6QzwNR0+vTpuLg4b29vPz8/VwMUNze3vXv3SiQSs9nsClO5XO7j4zM8PEwI+fz5MyFk586dzK0/u90+NDQkkUj8/f3NZjOToRPvCsbFxUkkksHBQdcRdu3a9c0zHB0d5fF4K1as4PP57e3tZrO5o6Ojvb3d3d0dl++3hbuCMPXZbDY2m11TU+N0OmmadhXm37Bhw/v37yMiIphNZ0IIj8fLzs4uKyuz2WxarXblypWRkZEXLlxgDjI4OCiTydLT069du/b8+XNfX9/W1ta+vj6tVuv6LE9PzyNHjpw8eXJgYKCzs3P+/PlxcXGEkNTUVLVaXV5ertfrmSdQxsbGmIr7zIuxsbFNmzYpFIr09PSQkJAlS5ZEREQwzQaZP5i4iwJTG6rvwy9sktX3W1tbNRqNVCqVSCTV1dUikYjZdHY4HN3d3T4+Pmw2e3zTVeYXdTKZbPXq1SwWKy8vb2BgQCAQCASCrVu3EkJu375tNBrj4+P7+voCAwM9PDxcDVhdOyTFxcWhoaGxsbHMJjUhRKfTabVapqHJ06dPaZqmaTo6OlqpVHZ3d8+ePTsxMdFoNBYUFIjF4oSEBDabrVAoVCoVISQmJkYmk01mTlB9H+kM8Muk828F6TxlYN8ZAADpDAAASGcAAKQzAAAgnQEAkM4AAIB0BvipRUZGUhRVVFQ0ftBqtS5atGj79u2YH0A6A/x/hISETBykKGr9+vXLli3D/MA/CE9yA/y3aJo+fvw45gGQzgD/I/X19W1tbUuXLn316lVQUJCrtatGo6moqGhqavLy8jp48GBvb+/58+f5fP7+/fvVanVlZaW3tzebzWbqKyUlJf3xxx8jIyPXr19ftmwZi8WyWq1Lly7F9MLXYWcD4G9dunTp1q1bAoEgODh4fMtXq9UaFBTE5XLPnTs3PDxssVhycnLOnj1LCGlpacnJycnKypLJZAkJCSdOnMjOziaEVFVVZWVlEUJCQkLevHnjKpUHgLUzwHez2+319fWXL1/28vKSy+Wu8YiIiAULFjQ2Njqdzra2tolRO3fuXJlM5nA4IiMjq6urOzs7LRYLTdN5eXkSiSQ2NtbhcHylSDQA0hnga/Ly8pRKJbOnLJFIQkND//Uv57eClal4x2KxeDyexWJpb2/fsWMHh8NJSUkhhAQFBTFFRAGwswHwI0Qi0cOHD8ViMSGkoaFhfJ3+SRobG+NwOEz7weTk5JSUFD8/P6VSWV9fj+kFpDPAj7DZbGlpaTNnzrxx48aZM2fsdvt3hTLzwmw2L1y4cPHixatWrTpy5MjRo0cLCwtRthcmAzsbAF/mcDj8/f27urq2bdtG03RTU9P06dNra2sJIU+ePJk3b96pU6cMBsOxY8eYtO3q6mpoaPjw4QMhhKbpp0+fbt68OSsrKz09nRDidDrFYnFWVtaDBw+0Wq1AIMAMA9IZ4Ee4u7ufPHmS/LsVLOPt27eu1+MbVrm0t7cTQoaHh2UymV6vd40/fPiQEMIkNcBkYGcDAADpDDClGQwGnU5HCHn9+nVnZycmBJDOAD8FsVh8/Phxp9P57t27WbNmYUIA6QwAgHQGAACkMwAA0hkAAJDOAACAdAYAQDoDAADSGQBgKkKdDfhVeXt7f/z4EfMwkVAoNJlMmAesnQEA4J9HodQsAMBP6E91CZjncK2KbQAAAABJRU5ErkJggg==)
94
(Pietrzykowski,2009;Wang,2010).Theseresultshave
been helpful in supporting navigation officers’
decisionsofkeepingasafedistancearoundashipto
avoid collisions. However, this approach has
limitations in terms of its ability to consider
navigational situations with respect to the
surroundingsofanindividualship.Itis
notpossible
todeterminethenavigationalsafetyzone.
Hasegawa (1997) proposed calculating collision
risks(CR)byusingfuzzylogicintheriskassessment
of navigational areas. This model relies on the
calculated risk quantification that considers the
distancetotheclosestpointofapproach(DCPA)and
the time to the
closest point of approach (TCPA). It
also considers the decision‐making processes in
avoiding ship collisions. The limitation of this
approachisthattheindicatedriskonlyappliestothe
localvicinityofanindividualship.
Hara(1995)proposedasubjectivejudgmentvalue
(SJ) model to evaluate the ship route area
based on
navigationofficers’perception.Thismodelconsiders
factorssuchasthedistancebetweenships,theratesof
changeoftheships’directions,andtheirapproach.In
thismodel,therisksassociatedwiththefactorscanbe
quantified by reasoning rules derived from fuzzy
membership functions. The value of the
reasoning
rules was analyzed using a ship handling simulator
withnavigatorsservingasexperts.Inoue(1997,2000)
has proposed an environment stress (ES) model to
evaluate risk of a ship route based on a navigation
officer’s perception while operating a ship. The risk
wascalculatedbymeasuringthephysicalstresson
a
navigator and using a questionnaire. This risk
quantification model considers factors such as the
distance between a ship and another ship or an
obstacle,therate ofchangeoftherelativedirections,
and the approaching speed. It is a useful tool to
estimate the risk associated with a navigational
situation by assessing the navigation officer’s
difficultywithnavigatingaship.Asoneofthemajor
sources of human error, navigation officers play an
important role in navigating ships. However, this
type of approach can only be used to evaluate the
navigational safety of the surroundings of an
individualship.
In
previousstudies,thesemethodshaveshownto
beusefulforevaluatingtheriskassociatedwithship
navigation.However,twoadditionalpointsregarding
the safety evaluation model associated with ship
navigational situations have been considered in our
model.Thefirstoneisthatthequantificationofrisk
reflects the navigation officers’
perception for
estimatingrisksbetweenships.Atthesametime,the
evaluationofriskconsidersvariousadditionalfactors
in managing ship navigation safety in order to
support port authorities or vessel traffic service
centers. The second is that an algorithm has been
developedtoevaluatesafetyforanentireshiproute
area in real‐time. It aims to determine navigational
safetyzoneanywherealonganentireshiproutearea
ataspecifictime.Theaimofthisstudyistointroduce
a new model for estimating risk in an entire ship
route area in real‐time, which reflects navigation
officer’sperception.
2 ANEWSAFETYEVALUATINMODEL
A new safety evaluation model is presented in this
section for the evaluation of the safety in an entire
ship route area in order to support a port safety
authority or vessel traffic service center. This model
takes into consideration the navigation officer’s
perception while
navigating a ship in addition to a
varietyoffactors.Riskquantificationisincorporated
in this model, and a new algorithm for evaluating
safetyinanentireshiprouteareaisdeveloped.
2.1 Factorsasaffectinganavigationofficer’sperception
A safety index is developed to quantify risks that
reveal
the perception of a navigation officer
dependingonachangeinthenavigationalsituation.
It considers the process of an officer’s decision
making when encountering other ships as shown in
figure1.
Figure1. The process of a navigation officer’s decision
makingwhenencounteringotherships
A navigation officer takes action, whether giving
way or standing by, after recognizing the risks in a
given situation. Decision procedures for avoiding
risksarecomposedofthefollowingsteps.Atthefirst
step,dataiscollectedtoassesstheriskspresentedby
other ships. The risks of the encounters are
defined
based on the difference of direction, distance, and
speed. The second step considers the rules and a
ship’s maneuverabilityfor taking proper action. The
factors are designed considering the navigation
officer’s decision‐making process. The model
incorporates various factors that affect a navigator’s
perceptions during ship navigation. Factors are
classifiedaccordingtoshiprelatedinformation(ship
type, length of ship), relationship between the ships
(relative speed, distance between ships, encounter
situations) and environmental situations (time, day).
The detailed elements of each factor are shown in
Table1.