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3e8oMFDADoTqd0rvzmm29awMhRHQsYQjlvWMAAgKxr5bq6OgsYOcoCRj6xgAEA3eyrdzBSqVRxcbEFjBxlASOfWMAAgG721efKTU1NFRUVQjkXWcDIMxYwACDrWrmurs5tLHKUBYx8YgEDALrfV+xgdCxgtLa2uj1yLrKAkU8sYABA9/uKc+WOBQyhnIssYOSZFStWWMAAgOxqZQsYucsCRj5JJpPr16+3gAEA3Szc9YfHjx8/duxYY8pFCxcuXLt2rTnkh4aGhmnTpoXDYaMAgO70FefKEydO9AoYucgCRp6prq62gAEAWdfK5K65c+caQt646qqrLGAAQPf76nuRAABAYXKuDAAAWhkAALQyAABoZQAA0MoAAKCVAQBAKwMAgFYGAACtDAAAWhkAALQyAABoZQAAQCsDAIBWBgAArQwAAFoZAAC0MgAAaGUAANDKAACglQEAQCsDAIBWBgAArQwAAFoZAADQygAAoJUBAEArAwCAVgYAAK0MAABaGQAAtDIAAGhlAADQygAAoJUBAEArAwCAVgYAALQyAABoZQAA0MoAAKCVAQBAKwMAgFYGAACtDAAAWhkAALQyAABoZQAA0MoAAIBWBgAArQwAAFoZAAC0MgAAaGUAANDKAACglQEAQCsDAIBWBgAArQwAAFoZAAC0MgAAoJUBAEArAwCAVgYAAK0MAABaGQAAtDIAAGhlAADQygAAoJUBAEArAwCAVgYAAK0MAABoZQAA0MoAAKCVAQBAKwMAgFYGAACtDAAAWhkAALQyAABoZQAA0MoAAKCVAQBAKwMAAFoZAAC0MgAAaGUAANDKAACglQEAQCsDAIBWBgAArQwAAFoZAAC0MgAAaGUAAEArAwCAVgYAAK0MAABaGQAAtDIAAGhlAADQygAAoJXJaTU1NQsWLDAHAEArQ2czZswwBABAK0Nn8Xh83759Y8eONQoAQCvDcerr60tLS2OxmFEAAFr5zDU2NqZSKQPNMwsXLpw6dao5AABa+cwlk8kxY8asXbvWQPNJxwLGpEmTjAIA0MpnrqGhIQgCW615xgIGAFDgQplM5uz/KzfffHMQBOvWrTPQfFJWVjZ16tSZM2caBQBQmMJn/59IJpPr169fvXq1aeYTCxgAAOdgB8MCRl5qaGiwgAEAaOWz9ac//amysjISiZhmPlm0aJFXwAAACtzZ7iunUqni4uLVq1dPnDjRNPNGIpEYMGBAc3Ozc2UAoJCd7blyU1NTEAQjRowwynyydOnSIAiGDh1qFACAVj5zdXV1FRUV0WjUKPPJokWLpk2bFg6HjQIA0MpnKJVKzZ8/f8qUKeaYTxKJRHNz8913320UAIBWPnMdCxj33HOPOeaTjgWMkSNHGgUAoJXPnAWMvGQBAwDgbFvZAkZesoABAHAOWtkCRl6ygAEAcA5a2QJGXlqxYoUFDACADmd+L5JQKPT4448/8sgjhpg3kslk7969N2zYMHr0aNMAADjDc+V4PB5YwMg7DQ0NQRBcc801RgEAcOatXF9fX1paagEjz1RXV1dWVkYiEaMAAAiC4AzXUhcuXDh16lTjyyfJZHL9+vWrV682CgCADmdyrhyPx/ft2zdp0iTjyycdCxhjx441CgCAM2/ljgWMWCxmfPnEAgYAQCdnsoNhASP/WMAAAPiy0z5XtoCRlyxgAACcg1a2gJGXLGAAAHzZae9gtLS0WMDIM6lUygIGAMCXnfZ9+5LJpNPHPNPY2DhmzJjDhw+7sgAAX3TaOxhyKv/U1dVVVFS4sgAAZ9vK5JlUKjV//vwpU6YYBQCAVuY4TU1NQRDcc889RgEAoJU5zjXXXLNkyZJoNGoUAACdnPbP9gEAQIFwrgwAAFoZAAC0MgAAaGUAANDKAACglQEAQCsDAIBWBgAArQwAAFoZAAC0MgAAaGUAAEArAwCAVgYAAK0MAABaGQAAtDIAAGhlAADQygAAoJUBAEArAwCAVgYAAK0MAABaGQAA0MoAAKCVAQBAKwMAgFYGAACtDAAAWhkAALQyAABoZQAA0MoAAKCVAQBAKwMAgFYGAAC0MgAAaGUAANDKAACglQEAQCsDAIBWBgAArQwAAFoZAAC0MgAAaGUAANDKAACAVgYAAK0MAABaGQAAtDIAAGhlAADQygAAoJUBAEArAwCAVgYAAK0MAABaGQAAtDIAAKCVAQBAKwMAgFYGAACtDAAAWhkAALQyAABoZQAA0MoAAKCVAQBAKwMAgFYGAACtDAAAaGUAANDKAACglQEAQCsDAIBWBgAArQwAAFoZAAC0MgAAaGUAANDKAACglQEAQCsDAABaGQAAtDIAAGhlAADQygAAoJUBAEArAwCAVgYAAK0MAABaGQAAtDIAAGhlAABAKwMAgFYGAACtDAAAWhkAALQyAABoZQAA0MoAAKCVAQBAKwMAgFYGAACtDAAAWhkAANDKAACglQEAQCsDAIBWBgAArQwAAFoZAAC0MgAAaGUAANDKAACglQEAQCsDAIBWBgAAtDIAAGhlAADQygAAoJUBAEArAwCAVgYAAK0MAABaGQAAtDIAAGhlAADQygAAgFYGAACtDAAAWhkAALQyAABoZQAA0MoAAKCVAQBAKwMAgFYGAACtDAAAWhkAALQyAACglQEAQCsDAIBWBgAArQwAAFoZAAC0MgAAaGUAANDKAACglQEAQCsDAIBWBgAArQwAAGhlAADQygAAoJUBAEArAwCAVgYAAK0MAABaGQAAtDIAAGhlAADQygAAoJUBAEArAwAAWhkAALQyAABoZQAA0MoAAKCVAQBAKwMAgFYGAACtDAAAWhkAALQyAABoZQAAQCsDAIBWBgAArQwAAFoZAAC0MgAAaGUAANDKAACglQEAQCsDAIBWBgAArQwAAFoZAADQygAAoJUBAEArAwCAVgYAAK0MAABaGQAAtDIAAGhlAADQygAAoJUBAEArAwCAVgYAALQyAABoZQAA0MoAAKCVAQBAKwMAgFYGAACtDAAAWhkAALQyAABoZQAA0MoAAKCVAQAArQwAAFoZAAC0MgAAaGUAANDKAACglQEAQCsDAIBWBgAArQwAAFoZAAC0MgAAoJUBAEArAwCAVgYAAK0MAABaGQAAtDIAAGhlAADQygAAoJUBAEArAwCAVgYAAK0MAABoZQAA0MoAAKCVAQBAKwMAgFYGAACtDAAAWhkAALQyAABoZQAA0MoAAKCVAQBAKwMAAFoZAAC0MgAAaGUAANDKAACglQEAQCsDAIBWBgAArQwAAFoZAAC0MgAAaGW6386dO6dPn24OAABamc6eeuqp/v37mwMAQPYIZTIZU8gGZWVla9eujcViRgEAkCWcK2eFeDweBIFQBgDQynRWX18/depUcwAA0Mp0tmzZsptuuskcAACyin3lCy+RSAwYMODo0aPhcNg0AACyh3PlC2/p0qXTpk0TygAAWpnOFi1adPfdd5sDAEC2sYNxgVnAAADIWs6VL7CNGzdWVlYWQiinUqlUKuWKAwBamVNVXV392GOPFcIzraur27NnjysOAORwKyeTycbGRnPpHslkcv369WPHji2EJ7tq1ary8nIXHQDI4VZevHhxXV2duXSPhoaGysrKSCRSCN8VXHnlla44AJDbrbxixYrx48ebS/conAWMhoaGSZMmueIAQG457nUwkslk7969Dx8+XAgnnRdcKpUqLi5ubW2NRqN5/2RvvvnmdevWuegAQG457ly5cFYCskFTU1NFRUUhhHIqlbrqqqtccQAgt1u5cFYCskFdXd2UKVMK5LsCN1sBAHLRP3cwCmol4IIrqGlPnz597ty5brYCAOScf54rF85KQDYoqAWMRCIhlAGA3G7lwlkJyAbPP//8nXfeWQjPdOvWrffdd58rDgDkon/uYIRCoR07drhbRPcoKytbu3ZtLBbL+2f6q1/9asaMGX5gFADIRf84V47H46WlpUK5e8Tj8SAICiGUgyBoaWkRygBAbrdyfX391KlTjaN7FM604/G4BQwAIOdbeeHChW6r1m0KZ9r19fUjRoxwxQGAHG7lRCKxb9++AlkJuOA6pj106NBCeLItLS1eWQUAyO1WXrp06bRp08yie3RMuxBeQy2RSIwaNcoVBwByu5UXLVrktmrdpnCmvXTp0nvuuccVBwByV6i1tXXAgAFHjx51t4hukEgkCmfaVVVVNTU1LjoAkLuKNm7cWFlZKZS7R0EtYFx55ZWuOACQ261cXV392GOPGUT3WLFixfjx4wvhmW7cuNErqwAAuS5UUVHx8ssvu1tEN0gmk7179z58+HAhTNsCBgCQB8KbNm0yhe7R0NBQWVlZCKGcTCYtYAAAeaDICLpN4ay7NDQ0WMAAAPJAKJPJmEI3KLQFjKeeesoPjAIAuc65cjd58803KyoqCiGUU6lUNBoVygCAVuZU1dXVTZkypRCeaVNTk1vbAAD5wQ5Gd0ilUsXFxa2trdFoNO+f7PTp0+fOnetcGQDIA86Vu0NTU1NFRUUhhHIQBG+99ZZQBgC0MqeqcBYw4vG4W9sAAFqZ02vlsWPHFsIzra+vL5BnCgBoZc6BeDweBEEsFiuEJ9vS0uIekACAVuZU1dfXT506tUC+K7j11ltdcQBAK3OqFi5cWCA3sWtoaLj55ptdcQBAK3NKCmoB4+WXXy6Q1/oAALQy50BDQ0OB3JgjkUiMGjXKFQcA8ol7kZxfO3fujEQihXDamkqlgiDwysoAgFYGAID8ZwcDAAC0MgAAaGUAANDKAACglQEAQCsDAIBWBgAArQwAAFoZAAC0MgAAaGUAANDKAACAVgYAAK0MAABaGQAAtDIAAGhlAADQygAAoJUBAEArAwCAVgYAAK0MAABaGQAAtDIAAKCVAQBAKwMAgFYGAACtDAAAWhkAALQyAABoZQAA0MoAAKCVAQBAKwMAgFYGAACtDAAAaGUAANDKAACglQEAQCsDAIBWBgAArQwAAFoZAAC0MgAAaGUAANDKAACglQEAAK0MAABaGQAAtDIAAGhlAADQygAAoJUBAEArAwCAVgYAAK0MAABaGQAAtDIAAGhlAABAKwMAgFYGAACtDAAAWhkAALQyAABoZQAA0MoAAKCVAQBAKwMAgFYGAACtDAAAWhkAANDKAACglQEAQCsDAIBWBgAArQwAAFoZAAC0MgAAaGUAANDKAACglQEAQCsDAIBWBgAAtDIAAGhlAADQygAAoJUBAEArAwCAVgYAAK0MAABaGQAAtDIAAGhlAADQygAAgFYGAACtDAAAWhkAALQyAABoZQAA0MoAAKCVAQBAKwMAgFYGAACtDAAAWhkAALQyAACglQEAQCsDAIBWBgAArQwAAFoZAAC0MgAAaGUAANDKAACglQEAQCsDAIBWBgAArQwAAGhlAADQygAAoJUBAEArAwCAVgYAAK0MAABaGQAAtDIAAGhlAADQygAAoJUBAACtDAAAWhkAALQyAABoZQAA0MoAAKCVAQBAKwMAgFYGAACtDAAAWhkAALQyAABoZQAAQCsDAIBWBgAArQwAAFoZAAC0MgAAaGUAANDKAACglQEAQCsDAIBWBgAArQwAAFoZAADQygAAoJUBAEArAwCAVgYAAK0MAABaGQAAtDIAAGhlAADQygAAoJUBAEArAwCAVgYAALQyAABoZQAA0MoAAKCVAQBAKwMAgFYGAACtDAAAWhkAALQyAABoZQAA0MoAAIBWBgAArQwAAFoZAAC0MgAAaGUAANDKAACglQEAQCsDAIBWBgAArQwAAFoZAAC0MgAAoJUBAEArAwCAVgYAAK0MAABaGQAAtDIAAGhlAADQygAAoJUBAEArAwCAVgYAAK0MAABoZQAA0MoAAKCVAQBAKwMAgFYGAACtDAAAWhkAALQyAABoZQAA0MoAAKCVAQBAKwMAAFoZAAC0MgAAaGUAANDKAACglQEAQCsDAIBWBgAArQwAAFoZAAC0MgAAaGUAAEArAwCAVgYAAK0MAABaGQAAtDIAAGhlAADQygAAoJUBAEArAwCAVgYAAK0MAABaGSHXJnUAACAASURBVAAA0MoAAKCVAQBAKwMAgFYGAACtDAAAWhkAALQyAABoZQAA0MoAAKCVAQBAKwMAgFYGAAC0MgAAaGUAANDKAACglQEAQCsDAIBWBgAArQwAAFoZAAC0MgAAaGUAANDKAACAVgYAAK0MAABaGQAAtDIAAGhlAADQygAAoJUBAEArAwCAVgYAAK0MAABaGQAAtDIAAKCVAQBAKwMAgFYGAACtDAAAWhkAALQyAABoZQAA0MoAAKCVAQBAKwMAgFYGAACtDAAAaGUAANDKAACglQEAQCsDAIBWBgAArQwAAFoZAAC0MgAAaGUAANDKAACglQEAQCsDAABaGQAAtDIAAGhlAADQygAAoJUBAEArAwCAVgYAAK0MAABaGQAAtDIAAGhlAABAKwMAgFYGAACtDAAAWhkAALQyAABoZQAA0MoAAKCVAQBAKwMAgFYGAACtDAAAWhkAANDKAACglQEAQCsDAIBWBgAArQwAAFoZAAC0MgAAaGUAANDKAACglQEAQCsDAIBWBgAAtDIAAGhlAADQygAAoJUBAEArAwCAVgYAAK0MAABaGQAAtDIAAGhlAADQygAAoJUBAACtDAAAWhkAALQyAABoZQAA0MoAAKCVAQBAKwMAgFYGAACtDAAAWhkAALQyAACglQEAQCsDAIBWBgAArQwAAFoZAAC0MgAAaGUAANDKAACglQEAQCsDAIBWBgAArQwAAGhlAADQygAAoJUBAEArAwCAVgYAAK0MAABaGQAAtDIAAGhlAADQygAAoJUBAEArAwAAWhkAALQyAABoZQAA0MoAAKCVAQBAKwMAgFYGAACtDAAAWhkAALQyAABoZQAAQCsDAIBWBgAArQwAAFoZAAC0MgAAaGUAANDKAACglQEAQCsDAIBWBgAArQwAAFoZAADQygAAoJUBAEArAwCAVgYAAK0MAABaGQAAtDIAAGhlAADQygAAoJUBAEArAwCAVgYAALQyAABoZQAA0MoAAKCVAQBAKwMAgFYGAACtDAAAWhkAALQyAABoZQAAKBRhIwDIWqFQyBAALohMJqOVAXLjN2sAutPnRxV2MAAA4MS0MgAAaGUAANDKAACglQEAQCsDAIBWBgCAbOD1lQFywG9/+9slS5aYA93mz3/+89ChQ7P2l5dKpX74wx/u2bPHleIsDRky5C9/+YtWBshte/fuLSkpufXWW42C8+3QoUOPP/74Z599luW/zpaWluuvv37IkCEuGWfsrbfe2rp1a9eP0coAuWHQoEE33nijOXC+JRKJ3/3udznxS62oqBg5cqRLxhkLhUJf2cr2lQEAQCsDAIBWBgAArQwAAFoZAAC0MgAAaGUAANDKAACQa9yLBIDT9unBDw9+9OGh9i9/pEe4JNLvG6WXFAc9Qmf3/0glDx5oO3yk6KKvl/W7KDvH8NnHiQOftPco6T/wa718UoBWBoAgCIJg51/XrFr61Lr3jrWnMuGSkh5FwT/COBPpW/Zf7v7fvxw/MIiczZ8w6aPtf3/jhdr6DTsvvXrKzP82PAtncCx1ZPsrtbWvv9+//IEZ9wz1SQFaGQCCIAiCK26840dDvnPDhmd/Wdt25//86b9+65L+JUEQBJ/t27Fva/Pus/8fbFv5uyXPrd+4o+93/+XqLJ1By7r/82+rGpo/vXp8uU8I0MoA8LniXhcXX9q3b+9eoVBJpG//fv37fL1nEATBsUsu7lf2zct7B73O8sdhvjn69kmhXqG1bx28IM/v492vvfDWtkRm5H+f8J2TPebyaydc/17bR1t9NkBe87N9AJwTyb179+7c8/HF/cuiPYMeZ/nHS+/S8vJvXhbtc4HWgA9+uPtvf3tzx75kV7/E6ODSr/e/pKcrD3nNuTIA58Sh1tb9icTF37nskmOtm5/duDv5WerrQ773n75xSfjDlpc27wuCYPCIicMGpQ5tfWv/oR49vlFWvOOVrR8F6UHfG3XVNy/rd1EQBO0fJ/ZueX7j7iCVDoJP3mvZtvfjoiFBEGSOpZI7X355a+LA4aNBEASRr19afvWE4f2D1vgLbx4oHjQ42vPTQ9u3vPPpRcHgERNjkY/ffv3tXftbi8sGfnv4uCv7d6T8B82vvb1j7/5Pg3Dka9Gho0d9K1Lc48N3XokfyPQp/lrvzM433j7UIxg84l+H9Uy2vPr6q29v2XXk4uefWdpy2YiJsX4fbWnZtntn4rMgCILiXsHg6ybGon1cc9DKAHByx9LH2nY1N21MXHxp8b639xT36HVlkD6aOfje1tf//Y033i29qVfRjcMHJba+9v8a396yZ0TvYZl97727elXz3y/qc+2o7xx8feuO3a/3OlzSc/zX+gwu+WT/e1s2/Ptza7e1DywOQp/s3/bBvr8XXzEkSLcfO/z+m2v+7/N7Qkcy4YuPth042vPjQUcqyio+emFF7Ypd4aHfqyiPFO9+Y8sHB1+/6MNeBwb12PvWO9u3Nn/cv9eVwdDyGwb0/Ozv2ze3xN+I72jd//GnqaDo2I50/7u+1+uDxudrV27PDO4/bOg3PnrtrV37Xr/4s2jfYT2379qzu3XvJ6FL3tkSP1B0xb/027fh+Ze27N9zpKRP8Mlnnxx6/aL2K0p/MNxrX4BWBoCTO3rs6PuvLf+3lpKiHqGjn0b/8zU3XBn0vDQ89Paf/fiix/9XbSIIgq9d8d0rIz/rVzx7xp+Kg32bV7+4ZdM724/1L48mb/jx//iv/5+9+w6Mosz7AP6bne29ZUvqpjfSAwkhJPReLXCiWE89y3l6xdP37rzzPE+sp95Z0MMCWJAS6YGEEkhCQkjvm7LZTdls773M+wd4B5wNRAV5Pn+xszPPPPM8w+53J888M/nhgy92DY4WZCRHcAYb6ir3nmTc/tffl0YxqNqj/9hecagDAIKekLWnsVdYeNu6giQ2b+JUzZHarY0n64axoWMDVpPWcRrni2648bZfLer7+O4Nm99VFS9/8O5VJflJh4/v6G5rNpcs5I+c3FphyijPumH1KtL4aMexzR/8qyLtCcmB6jPK8TGMSJPnlN/2+M2aj+7e0NQ9Xrx81swSh8HZScq47093ZYXBeHLrEEWev3ZpaWqMvUN5qrJl0/FWXVlkJDoBrkMEQNBp1Ns9wUD4S2IVg8Pj8NgM/Iesj9c2aQlSuQwODfc7nVYvJpTzLn8cFAHgtWnNQTqfwWYxKd//h4jb6nTY7F7AMBJTFMmj4xT86upylJURBEGQy0an0DNvfOrPi5O4EbThxkbD5OTXr586/25mxE4/yxybf9vts6RugKg4ioZFEIRTqe5X905k3fzXOVE0oALE5c7I6NbqBwGoPGrskl//azFBEMOHX/737oOVfWxBVBEeteiRp+C95z4xJC6etXRRgUxrMEmTMIi668H5BbEKkmeUx4skCMLvJToPHRjoGT7ZiGHnprbD6RzcIF3/i+W0LbsG6MXTb7qxRGrx+uTxJA2DIAjivCpjJIgov/UPMwkCJlt27v7szQ+ayADJqO+vVyEAfd3bv992enzYTgBgGPaf0woIInLajetuXLdkmvAHCsoEESTCXfv++s+JzFuKV2RLhg7s3dhAfmzTPTlwuUPpAwBde/78qq7g7pKlc0uiv+8DCE+27Nq/c8tnbYDTGOW/3XrnNEEUF8Oupi5HWRlBEAS5Irhstkd4ORFBY7Y5tQMOo2ZST02TRsD/fk8SQb/xxGuv7e0jpS0vvSErrfvEh2e+Tcl2v9+hNQIAQOzS9XcVlmbKWGcDMEaicER850Wz2xEAKoPZ6/JcXJClacsnBxuGKFnTFz73cs7+X79rQv19vcIBpDMffDlvzsEPP+/ox5KX3Lai6IvT3tZ2YoL9Q45jd/tdHZ/95o1Dw5OSzGuyNdXH3jw5CtSlb2y8w9j1+d+2VB0tT5oj5AqZKCsjCIIgPzm8uDh6ZORlXA8KhsNhKoVOp5M8AbvVDgQf4PxivGZfT/XrO4LyBWvy8/PTgiPdmm85UjhMQDAUAgAAg5/E4HGjomTnv+/539oGQuELryuHQzB86NP9Rk/MnMVl07KYoZCPiWFm1N/XKwyAzBRKmWI+h0GnYlyhLCoq4tx7Eay5cqBgP1zQo5GpCWU3Ffe9f4QAABBFZS268ffFmAIYlzZ2wq6qPzygI6j5N8+KIwMkz3nkcT83ii/+vus/ouoYMfrTFFOT4hNihbc/G+ONjJewqVdZl6M54xAEQZArgsJmswUC1rlXHC4Hx4Nut8vtDrhdlrERLUDwqzcmi2URcp5Q13N080mVL+A7P0r73JaR1i61gypJjZFJmJjb5XRcQr1wCsTm5vGHB860tPVOugHAa/WqTnzeZjK5Qt+4NQGEfaxTqTb6GNFR0XEimt9uswKBuhu54FcZgK2/f9RFsAR8Af+Hy3pknCyImxIrYNEoAAB0tigmPjdLwQfypeU7q26wT9mu0rrOJkN+1JSc+Fjx9/7kdseEzuRy+MlUKpVMZ4sSphZmRImY1KvtOi66rowgCIJcMvNI73Dr8TMdmlDQ3VOzHzMXzsyIUoi+uJ6GYcCKi4li9mnbm6ohKPU5J5wAMNZadWTCOq42TLrIqtaGfjpDd6Jz3OH193cPp5ZmpGTPyNYfqdy1R6qNoVNorpHuIZ3OaKV21HVFSmTQMniy6tBohCg8MWr205yjHYc/D0DPkMnhwNr72kScyLD2VL+JgFBrVZcgT+9WdvaM621BckvLUFLWzPmte6s7GnaZTBkyJhEi8FAgStTf2KvRWrVk9XDH6d4wMVbTrfMFyF1tQ9HxFDqb7h/sO7Hv8yF5UhSfT1UZOk4ewSb7yVaXPiQA02DdocM8o2rEMOnCVR3tI7E5sUwgYejUuD6FAHR9fTYKhfnFz8VQKGDXnK5TmgPuIAA9QhKblJcpYxJhcGvam5RegZQaCrnVegdDmptLtLS45BkJHM+kSaOZCPOYsVPmpTPHm+sHdC47OzYuISk/lhcO+jyaplNKs8MTAgBgiQVxGbOSOedVw2kZV490TWI5szKgt7F71Gj3fhH3GBCdOz9djJt7ewZHNSYfAACZBlF5c9MxY3tje/tIn4HKO35g30hU3nyJpbYzEJEuU8TI2QGvXa9uOd1vhRABwIqOT0pISxDRIRAOGXqqWgPxWTSvzq4d04KAHTtlfob4y35IuDVNpwZ0TnsAgCbgRyZPnRIBmtONzadax4wGai92dD+ulqcU58cyLjXlo6yMIAiCXJUcutGBvqFBFyc/hxMcbm6nyVKixf/NykACiEkuzhlpGOhVt7TY+JK4gtmF5HFbr9IGwJSLmWxC2ztmiuzrcXGT0gOEw2MJMHKLFtxNA8++9ubTunPfURERcsCtw7YZS+cWmHuMyj6jkiuXCyIzC10D2u76MwDkqCQBON3jnf0BiX6UiC4sBHuvboJjNFmsQZ5UQado+7WeqVPnr5prOHCqY6i1bgjYElb+8t9nw6k6L0UYKwRySNevkfD6lL6IKTkhn97pT4tLyJ6iMzeNNNaP5kQ9Pr2o0N2pHFe36PU8nkSRM7sQxsc6u8a+OBbdsM6bE8O4cOgI8tPnc5rHhtqbWLwgwHDPRHRc6rno7PeYdP0NNUePD9rBS4RcAY4gLidMKy0QuJRtVZ99WO2ILowUCeljY2ayyKWf+HC7MWPRvFSG1TXU1m7GjTIdb1GUrrm+SzncEU7JmLFEIZnCco2279+xfwQLhHF6wGoiBKTUYEbsDPG5v3K4bRO9zV0Hj1arJY+WJUJH45k+jcFN9dmtRrPaLY6/La4kNmyor6puUQ+5KFzM4/M4unju6IeTHG19w2qdxk/jdpwiJuKAT237924oe3AOX84PTag76o9V1at81DAEbD5RYm5RkFqQJvRMth3d9dZnrpK1sWxHaLyjw8pwKQLZCfNF1PPzbijkdxiHG+uOH+8zeF1hwhNk0MSjIcrMFHNXc8egxuzy4KOhttOYI5Obmx99Vc7DiLIygiAIcsniihbEFS245WvXiS27/56y816vX/+/68wtXHjBa86sdS/NWvelxWVnf3O1br75q9+Ln377Q9Mv2vuv0uee93LhzBUXvF22bO1//n1f9mL4hmNBrj92bX//no0th0kA4Hdl3FlyLh86req2ync+HJ7/3P2z4hQC7+CxHfv2VW961y5Y5n9jy9FxrTVkNMtunrXioVWcvurX/3Yk7HK2Hazjrrtt5V0lxY3bntz0wdOtU9c99ct7yhr37Gjs7O3tKI3Ld3UdaeKX/PLeaQksnrb2cGXdzvamU+YZi85Vxjh8atRwpL6XHSUBHCg5qx5YxuMyuKqGukP173cqHrgpjWeoOdRNiHN+tnhOdoK7V9Ww59GNR1smSpYtn2t3WkAny73rgZWytm2/eq1DZ4kGgKB1vKP2yN463bw//6lczKFZ23e8U1Fbtc3r/tkCxumXd5xxePwnm4Trb1++YPrUUwdfPlB/0jR/kRTY/8nKYa/b2Hvw1X8Olf9lzfopWTL/aNPhys/2vbkJf+qpu3+ZfPLT1z4dZM0o+dmdS5Ou3m5GWRlBEARBEOQyiJOKZt70wC1lYj9Ax9aPMcnZxZYxY1fn56Nlj5VHCflUAGpifnGpST+y89QR6hsv/Cnqg5c+NaXMmD6rKIGGQfrSp17En3n8I3zxrfNnFaVzhvoE4jQuP/rXf1iYQo/wisQsjsQFQBFykpc/uWkZhuPDB599Y8+xI0pORELJeZWJyZkXx4xyO3YNAWCQnp5IxwBGWs40tnZYy35+Uw4AFlF26x9mAoYZOvbs/uyf7zXioXDihUfEZnALbn/2Fu1Tn/gAQKdUdWsb7MUPz5PQMAAQZs2eM6HbdbSvo3v6I3duMGse/5i++o75ZQVprIEuvigO9Be3kMPg6qz/eKDsgd/GRkppALTotLzyBWMdr++s6lgpi7k2uhllZQRBEARBkMuAYSQcJ1MoFAwgUiYxMhkAAB6322zQhSGGRDo39zLG5rD4fEHAP6YzQQSQMIxEIpFIJAwDIJHIZJyEYSQcP7sIwzAShpHI5HMvMJPbTTVasDDXba5767X9Q/TMpUWrMhTtjXsGLqgMiUTCcRIGABgGJAzDYKyuqnHCYSleeXf6uTfsHZ/sqGwYwFIK5jy9IePgE+9bLj4ijISTcRKGYQBOh9VuNREgw0nnJnIk8flcNofhcUwaLbjgomq7g0HN+CQERP9Nlz6f16ibCBOy/zYFi0UXiSXB4MSk3i8LXBPdjObBQBAEQRAE+S5wAElBQWJEBBsAKFQqi00Khdr6hwLus3N14ziJTKbjOJ/HIZEuNXoFw0Qw6DS6eg69ut0nL10xZ05xQZI0gsf4hu3Gak+eshuwjLK5mQIGAEGAqmrnAa1VOG3WioUz0qNjItjY1z70g0ZnMBhej6e3fxCCZ2exwck4jjMpFC6b9T+rhwH8gQsnuyGTKWwOHaB5SO2xn529hkQikck0EsbncnAcvyZ6F2VlBEEQBEGQ7wIDYEgkfCaTBgBkboQoMS2PN95cUT9osDkBfHqtTmfTR+YWJzFo5Mu5AzTosZtVLS1DHnZcTkKUhAVut9v51auHAcbbq4+Ne8VxmcUFUZxAIKDRaCyq5p5ho4+lUCQkSekBh91GfO3shxRRbGR8TDwxUre9bsTn9wG4R9XjDswbnZ6j+FZ34eEsHjc5t1iq7zvU0D9qsAP4zUbDqFYtmzo1mc2mXRspFI3BQBAEQRAE+ZbCAJ6x1qbhrq5hrc6C4S21J4JpGbNShGT8i+THFAmTi1bMH95eWVlXbR6V8imWSYOTFz9vWp5EN7S3b9LiMo10DvQnK3gJMkzbX9Nj8PjDyiZlDBno+oEOtcnnJs4c7GanMMb7BzUmvZ2kVirjpLxIrEtZewzXCIWBEbXFi9tHu45XAnRqbG6vqqOZNk7TjpncLmg61YWNHq/r0bJJ2HhXw/6uAIGPBfkrZDwxVW3saajZb1XhFocuwCMsI03HOjGZF2eSXaN99fv3DwXA3jXm8ASGlOrMmLzk4rmF5n21Oysr9bF0aliv1uIxiTNzExjarqpeoy9A6utWJ9DI+EhH56jJ6yGa6lWxebQIBvNswKTxWIqpq5f37qysbz7qNKqkTLvJaKHGLpyZz1C2nuke0Nn0NGVHSwMfUmckCVBWRhAEQRAEudazsnu8/URtr8FDY4rBqjpTa8KkpUkC8n8HFNDYEUnTbvk54X2juqehrhWAn5o+bdatSxM5PuWJVgMujqEFJ42aPk1atIBm7G40shTJXnu/dpjuxrDJsbAgMY4YqBqMI3w9kzaCx+ZQg2atb/acBVn69sHTpweBHxMjkKRMsQ1oG6omAUAaR/ONDbWPAWC82KiwsrGfBS5pDGGbHGmqHAEABh/Lu4WeWV6S46zvGempGVHx+bLErNKswLiyYTB+jUKRmWyvb26vrAQAAEweT/UYLTpTODt/xs1M3L/p0MmjwyEAcUHpnOJFM8Xh8Y7eM2Z2QorfqjGN0b0Bi0pLCOJjif6GcXt6rPCLrAwUGju6YN0DocDbR3paG/oB2IrY3Dn3rE4TDu3f3KZ1sKQMcEz0nT7Fk1y1WRkjCPT0IQRBkKsUhp37lH7sscdUKtVjjz2G2gT5vhkMhvXr19fX1+fl5V21lQwGg6mpqffff39RURHqMuSy1dTU7Nixo6Oj42s+ftF4ZQRBEARBEAT5cigrIwiCIN8r41jnvi2P/3FLJ2HzXl4Jbr+nefvvHt1ySDlgRu2JIMgPCo1XRhAEQb5XAb/LpBtSgQtClznoL0yEnYahQXe+xxNE7YkgCMrKCIIgyE8Hmx+VM30NG6KATnZqmmoN5Bi+IjPxEm7joeCUuMI1twQypRLmD1Ztn31Spe7uc6atypMCHX1bIgjKygiCIAjyPeAIY3JnrM0FAACjsmZ/P2tmCv+SsjKNTFVM+5nih622yzLa3vj5Qfv6VRlilJURBGVlBEEQBLk0oaDPbdOOm3wQJgCYAqGAL2FhfrdVO26hymSYxeLxYhQBm8MiPJNWkMlgsndEbddy9WzVsArnS2IFTAjYtWNmp98XAjKdwxZKZBwcAjbtuDnM4uDBoN/uDdLZETEMt2qSEERxuUxa0Ga3mnQ2/7lasMRSIU/AolxUuaDbYrWYjY4AAAmAI1XwMYfRYXO5glQagyeJEzDBYx7R2bxkukjA55JCNv242QcAAGyBjEUJjY0NjYyM+0ijfQMMriJBxGPhIbvFajRZ/QAAdFGMhMdgEk6r1WH2kvgSHhhGzV4iSBeJhWwOuK0Gg8VPAq4sTsRiUHF0uiAIysoIgiDI9YMIB50mzZmq11/eNQLeQMCfsvyGlUvuKSCNtu1/6a8Vkb/6NavyYL+aJl+SXzjF0/3PSvx3T1D/ublBO6knaU+3dJ7OXXjf35emeccbt/z98+aJEUeYHT9t6vKfP1LGD05Uvfe3zzz5s3hOp7FWaUwouv0pRdNvXw+v/fuiOVNiDPVH927beEJPxgDCAW/WrQ+uXbC6IBI//2lo4aCt78j+fXs/bTBgQCOCJfe/tYRe+8nxyoZmQ2Rs1vKH/7EqC/oPvfja4UFJ6q2rlsykWA5sen7/KAZAhAqWPzpN7lSefq+qMRAivfObM3jZ7X9bW5bFsjftqdy28/AYABGMWvHULxZPyfQ3Ve85tnOAvfwXiygf/3V3v0ubeMO6lcWleG/1R1v2jZI9Rb98/e7iKVFcEobOGQRBWRlBEAS5XjgnOo+fqjxiuXnrP1OBoap4Y/ugqvqTd3r81YeanGFieGPHrU88sHIK6KqqDrx0qJsmnAHZNz1xM2ysmJDNLV62ek4CgdnU1S+/713ym0fWSyW+3pbjRyq3/Omt3ty6k0dtNhehVZXdtOzWrWsYI82773u9xubOAgB7Z1ujssdc+ItX180ShaD747981NvTl5SWHDmFd17trC31vRCI//nrD2fyPV79sTq3QBZ9830iOjN2KMSYv2wKkHHISi9IoS0rVaTyAsPKBueyl7fOiACw1jfZk+L5gliZ32WvGIh64LV1mVSpyK3cf1hlY2c/ufV2lgsMx1574a3q4PRK7ehgc4suyNr5Suimxzc+a654e8epHS+d7i6avejBl94c2fXwvw83zEkRCLkxTHTOIAjKygiCIMh1Qj+kVuvriZI784QSFlDYy++UuAKAUcK6TDF187vHJasX56YkxQpBOt3pteoNhzUAVAaHSaXgVBqTzePxSBPGziPb2jsDY68eZlKphNthNtrDAqpkxuMPUHe+V+VNn5ZfnJ8sZOJkbPV9mpE3DtMAgJWYu0ScMBuncrzjh5775OTksIbLD4aCF82wQQT8uo4zao49MuaxWTHcRbMDXB6NzOVm5064h0929NqmZgthaMSeKMqIjOUH1Ha1unP07SNJf12aFFdaFKDT8YDawaJRcJzOEQoEwJiob+lqPNxhoDbUVuAhCFg0E3qJN2LhjOgkvu9ImyfuxvXlCRESfnQ0FXNm5OTPXThNQcKJaEXQgIWIMDphEARlZQRBEOT64bEZjEazFU+I4AAJAFiSmISzb1Bwo4SFYYIYOY9BpwJQhSJptIgBmouLCAXCHsckb+qyuRmxAubZ4cZkJk+oSM6jTBxjUN0RQr6AxwAAOj8qRc4m4zgAkDmMkEbVV39M6ZYoFhTn1I6bnV9SP1ZSfsmEydfetP2dFzvkkLrojlIOm0ujxKTHjRqUp480DKcvgHaXIkMhkfPYgbiMnIVa6459772hFFLS5iyclp7Dv/iAbWSpMDOjrDCG/cUydkxWEl8/bOJzGJgoVhFBBzKNRsNxnkAkkkr5NJOTSmFikw673+sDQNeVEQRlZQRBEOQ6gWEY5g+FLA4HQATAZd65RuAQisoonTNNIeL+N0P7QPfVY3utw739rTWtk6HEVEXeksIobU1L/5esRpfG58yYT+Hz69rG9V177gox1wAAIABJREFU9zhTZHfPTJeK2DK5PCKZ0Vx9rJkLE8xpZQIpm0qFiPi88sWMMKnVpO84fPwAg0YX5NEvLjPMl8TmTF86Pfb8hTbL8NceIYDN7Q0FQ+iUQZBrFXpuH4IgCHLJ6HyRkMukTQw2DlkCwTAAgN9iNpsmTL5vWwSZhvMi4j39PX2aCasnAAA+u9Oo7tJ6g+GvfGaJX9fV0TbU70mZdeOa0hgCC7pDoS/LoT6TLcARpM1fc8+dd6wszXJWNw8bJx0hAAZPGhMVH6E/sbeihxPBIwtZAAG7208EhNNvuPfee29dVcIcGNcM9xsCFxTIFotJTr92qGvI6AUgAMA2Mqw16x3o4SjItcjrsmgGGk4PmMK+b3UKhwEso21nBoYmje7rrrHQdWUEQRDk0onl8kRpOr1mzyd1OTekcBkUcI+orGS3j6KwW70E4TCMmu08KQsHh91idHiCQcfkhE1MximkkNtkGBsbp1OZqdNuKjr00e6jnLAvmC5lOcb0htGToUIBx+T2B102g8VicURw6AGncdzsCYXBbDSw7Z6AJWhXD3SpxIKQY8IU8Hm8Fr3JaLIxRDzaF9Vz9vUPkKwBWXI0+JlT5ubLlBQfFg4A4HRJVExGbslnW08mrJbSWVwA8IxNjmhbtAkFKQCk1Ky0GCodMCKIU6hUkt8+qVLzWLExGTk53RPHWg9vo0fcUiACwMZO1HjSYmgWr8Xl8XvsOrXRxoMJs93td5EtVuOEnumxTVg84TBuMtqdbq+ASUcTxyFXC5thqGb3hn3wu6135pFo3xwGwwDDJ//9z4n0nxWtWDzzOhtQhLIygiAIchlkidPnrxPSAg+9+uRx8AOAfNbSm6aVCAd3/KtKTcLUHz4J+PNr5grD9Sf2b6kbBurwvzbEPX+fKErYX7fzvZOnj+cuefClFXOfeHTy3lcrXzn4EQBE5Wcuvum5RWPv31nR6fTaJt9zhPzY2mUFoaaPnvl8EMBX8TH77rlR0VHC+kPvP3H4AwxLLC+nBq3D+zd+YtHb1j10Q9p/qoeNndyx61D7JADQeVD+67enpyZJzg6rEPBFeUvWaKILcsX8cwMtLANNh9567u2zL4rv/fXaGfOyGOMkdTJn/7bX76uF8rs23DZ38bJ57ortb7395FEAACh79K/rsED1qX17W5UAmrcfwezrdLt2DZtMdthjtvWrMjLGKvYMAoR3bOYK6VzhtEwuOm2Q7xtBEAQRChEkMgnDsK+ZqRAjkXAcsK8tKhwOEwAkHMcAACPhOImEXYeTH2IEQaAzC0EQ5Cr9jMbOfUo/9thjKpXqscceu5pqFwoGvE6j/dyYBDKDyaTR8KDH4vQCAACNI2QxSOB1u+xuH2AAFLaQQ/I6vT6fP0Sm0JgcIZMKfpfR5g6EQgBAplEZLAEj7DTaPGEiDEBhsJksJhX+sxcyg8PAw6GAy+0DwDCMTKdjfn8oFCLRWQwWl0X9T9W8LqfL7fYHAQAjAYMnZlMp+Nlhhyatqn//+5Olv1uqYNPoGEDY7/O4HXbPuVEXdA6PxWBSsaDP43HYnQEMgM4Rsug0CLnOHsvZ1XgCNk543G6X1w+AkUgMFivkdgdCoTAAmUKhUKlBlysIQACFweUwGTTqNTLs0WAwrF+/vr6+Pi8v76qtZDAYTE1Nvf/++4uKitAHxXm8dm33iY2v6hb8Y9EUcdRX/jwLBXwet9UNvAg2FcO//My0Ko/s6hhy4eW/XJ1KAPidJnuIwqIxmT+lx1jW1NTs2LGjo6Pjaz5+0XVlBEEQ5PLgZAqLL2ddtJQu51zwmsWjsc6b+pgmvHADGlssYV9YAlfKuPAr/n/2wuV9U9XoLB6d9WVreSfHzKoub9EqOY1CPXuJjESlsag01kUzXwCZxuLQWOcfDPmiYwEACu2CurIvPBQuupKM/MA8Ps/kSKvOWxIOfd21UJxCY/Ok7K8tymrRTo4Ph0UlAIAB0NiiiOuzTVFWRhAEQa4LzuH6xrae1nE/Q6YoL5ewyOj2duR747N51A2bq5Uefygqb0FeHCM83nKgaRTDySnz7ihSuHT1DeMeFiVKRu450mTAIGXeqmnxCjETwGefHOw+WnVaDwQAxE4rzc8oVPABAn6PsffArqbJgDMAbEXulNypxdHgN3UfqGiiTy0mq9UGjUYHXo9tos8ehMpN3raMGYsK0qQuY2fjkS7zuYopisvzM/JiwaTuaz3UBXPvKI6ZHDpUa6BH0ni0YH99u40GyfNumU7R11bXnuzpMAHrs3dsJ5Pm3RFr2FfvlRYosjOTBH63Zaz30J7TBvCFgJdcnJuTkxfNCHnt9p6DFU0GuycIII/PzimakyZDWRlBEARBrgkYhpEwEpUnl8TnZUlQeyDf8/kGBMmjbjvRM05Jk4nSZCG3W9fdckbtTJ1NGWztqazq94hEuVPTaX6SvufQIDVOwuNzcdD3KFubuo0kjASYqffUSACncmJkLI53cqTp9JAjHCBIpIBO015v05vD6Vx1V3Xl52doo0R6BJ1DIpFCYcLrcQBwSCSMhGF+w2h3f8fJrlFGdBwTwNhdpwrR6EB1+ocOHThSMxCdOZ/adahhd7WalijLTE8guf3j3Yd7KVPiilhunz/g92I0NhYMhyY69rW3VpyglEbQEpKlgVFVa/OQmxQGIPnHB87UeDwYpzxT6hs8XjNkJrFwEiloNFmNBgugrIwgCIIg1whW/PTZ8dNno4ZAfgA0Hj1pzr3r/La+MQcA8BTJieTbyc6JMyM42Cc7+ke0pnGCxgpyU27++Vrtxx3P9qt1ZQZbyNnZ0thtjbnp8eUJgKsP8w5oCCxgc1n9quaD26tg6a25yVS2p//0kZO9tcN2e55TNWYNhskaQrpk3vwZigjP2FjrvokmdfT8u9YVS2JJg221VGpk2ZrVc1Od7cNNlu49IxPjUT2BoLZzeAzCUWAbP9M7YrRpqXYxNTJr6ezFw9ub/tY2aFiwZHph1viIZYSXffNdaxL6D/3t7UmbSwAAXuPE0Omq/U3YorWFfKC5Oo/vO9HXTBfESedQ+qtaabMeWT0rQ87UaqzET+SJlSgrIwiCIAiC/DBIAEllP5uHh8y0QOa0pUsLxPZwUBqFKymhcHBCOaT1KVnFNycBCQDiF9zxEAAA6DvaB8/sV2tFn7555ovJLTiKgqjC+bet4D39m62cZbOzUxRfMpqYk5Q9NzLZ7dDr+loPv76twT6iF0tAmpQfM4WiH3q7EYPU+fcsdPzLIoyYXjJvTrbYYLeKY7A+Uigc/m/OZVDpGct/uUT51Md2ADBrtENtBwaGRcbXmuDcRBr8dHo44MNphNhbs6UikhPMy06UsVn/cxMAysoIgiAIgiDIpRsxWdxaqtVht375YzAZEnbePc/+aUEMnXJuuhcMwwIWr/obynWNnDq+Z/PG08SsX29+tvC959/v/6aahACGDCafJ+qrV2HHykvnPPfEPMkXORLDMMAwLCD780v4X3/3yZtPvuvKWLZi9epH58WjrIwgCIIgCIJcAWwuj0NQfONGPYAELpz72BMgRnQGjBSF4//N0t842fFY3YkjPTWWOb96ZX6+EOf3kbArMj+yyxvUGA04Lrno+fYUNkm++OFXSrzKys2Hmnvqqyvj712UeM33C7oJGEEQBEEQ5ErDMBAIhWSy3+F0ulw+u9WgGtAAfM0jpXFZlFyCs8bPfHZoOBQKAwDYe7t6lS0GjjBRUcKq//j9umGD0wcAxl5lR92uDuvXV8Fp0eonNWZviMyOFDLAbjX4/b7velzCGFm8ZApW9/6/T405fX4A0LW1t50+2D7i1rfXD3PZETExhUvn5UWlsI0ag/0n0JPoujKCIAiCIMgVz8o40JPiExg9mhPV28dGI8J+K8EIBQePbP6k2TQ+OGkIUZknDsX4GeqDdSNOL9FU1xU7Kzsrr9xy6mjFlncGI0gkDGgcUUL2lDS5KHLKwhXKDz7Zu9vZxuXSKXQWJ1Iu46lP7Ggc9wZI9RUNIjKzMC2BxaTy5QpxUHl8yye9afnZBCWCxuhtPPhvXy+TYOK+gNc+2Xx4j5mDG4YmPA7HwXc2szXKUZPD1CWor+anhQYPNo0HQqbaY52iNAqLR3cqGyvecpwIgUvVY7D72ptlcbKZmVmzZms+3rF9m6OJQ6eQGRx+TFp6XMhjVJ7c1tgWASQy2H1sbmxKYdRPIWeirIwgCHIN02g07e3tqB2Qy8NkMmfPnk0iXYE/Mre3t09OTi5cuPDyNlcqlT09PatWrfoJtS4JQJZaNtvYNaG2BP04T5g+awU5SgdEGISx2dNjgSViev1hppcUnTsnOgR8PoUpSkqM4dLJ3ro+jxsAgBqfIZHEyThMiM2Yu3LlyOG+QNDjcvnZsbHyxMIIcz01rmBhXAiAjQdDYQAKmy2fUrZ8CVVH+IM+kigpo5hL93aOgMvtBnZqQcksuc3hcAGAJL1ofjqAJwwRSVMjALgyus8fpocZimmLFQTQ2ewIafZ0KtB7rS6XGwCTp5fKAfhiGsaISIqdvcQ5eqQ/5Pe5/D5+SlpUfG4sbp+IiuGO6X0Q8gEuz07KzM+PYf4UfvWgZ1wjCIJcvZ/R3/SM6wMHDrz99ttX87OIkauW2Ww2Go1bt249fwQsXNYzrvv7+//xj39otdrdu3dfXmU2b978/PPPb9y4saioiEKhfOP66BnXyBWBnnGNIAjy05eVlXX8+HHUDsilqqysvPPOO20229msTKfTaTTaJZUQDof1en0oFHrllVe2bt06b96871IfpVJ5xx137Nmzh8/nCwQCJpOJ+gi5GqB7+xAEQRDkOmWxWF544YUNGzZs2LChoaHhUjd3u90zZ85MTU1ls9m33HLLd6xMUlLShg0b5s2bl5qaWlFRgXoHuUqg68oIgiAIcv3y+/1n5xE7/+ET30ZfX9/tt9/+0EMPsVgsqVR68ODB71gTEokkEomeffbZUCi0d+9eq9X60EMPoQ5CUFZGEARBEOQaU19f//bbby9btiwjI+NSR258DRzHExMTASAYDHZ3d//jH//43zH6CIKyMoIgCIIgV6mdO3e2tbV5PB6JRFJeXv497SUjIyMYDPb19f3pT3+iUCiPPvool8tFjY+grIwgCIIgyNXr4MGDVVVVw8PDGRkZq1evvujd0dHRLVu2XF7JdXV1Fy3Jzs4mk8kVFRU4jkul0pUrV8pkMtQFCMrKCIIgCIJcdQKBQHt7+5tvvllaWvqlt/EJhUKv1/vcc89d9i7i4+MvWpKRkZGRkeH1ep9++mkajbZ48WKpVIr6AkFZGUEQBLm6hPw+n8flDZ17iVOZdDqVRv6eZlIiAIIeuztMplNoNCqOmv/HFwwG1Wr16tWr//CHP6Snp3/pOgsWLFiwYMH3sXc6nf7cc889+eSTTqfz7rvvRnPJIT8wNGccgiAI8g0Gju/827LU/1jwu/c/a7N+b3vzA9RtvGnhUy/sOTqC2v6q0NraOm/evOeffz45OfnHqsMf/vCHY8eOPf/886g7EJSVEQRBkKtLbOHc2596+e+ro9z24nXPvf3MYysXpHK+n13ZXZbjry78zfun2ntdPn8Ytf2P7J133ikpKXnmmWeeeOIJqVRKJv9of45ms9k33nij0WgsKSn57nM5I8i3h8ZgIAiCIN+AKZTGZebazvDxpJyCqUWFKZHC72tXNCo1bvqS3AM9I5TvpXzneHtNa12ro/yPN6QCDX0Hfq033nijr6+vrKyMz+d/1dCLH1JUVFRhYSGHwwkGg/fcc49er0d9hKCsjCAIglw1SCSI4LEpZMr3uA8ahR5btHxq7HvVju+lfItO2Xhy+5Fgyh9XpAAN9elX27RpUzgcTklJycvLu3pqlZCQkJCQYLFYtm/fThDEtdesRBhcw0213W5RuiIlJY53Jc/t8a7e0fEgM68sW3LB70PL2FD/aTUUrciRAuM75T7DUH27ISQSZualXObPZZt+cGC410SZujBHAuRrZHADysoIgiDIFeE1q5VDvf0jDgAMA3761Pz4KCGTAgAQ9LtN6sYTvRbwhQBE8QlJyQWxvHDA61Y31vaZHZ4gAABHKo7PnJ3E+Lp96PqUg8P9Ey4AKokUU7AoPjzQph41Gr08oTwhu1QhBkNPZfOIgyfNSVFIg66h7tNDNgAAiE4rltGsrU3HW1oGjPQTuyqMMUXzM6JFuFvVN9Q/oHYAhpMFaTML4gV8/1i/clztYcSnyYiu2l4r+CVT8lKkIt/EcE/vsIcBMQULMyO49J/yd2hfX192drZQKLwK60alUpOSkigUyjXWpkFvyDx8+nRVxac1pKl3LpJcwaxs0/Y1nazY36nnp0RelJUdZk1L7SdHIWpFqug7ZmW98sTBbl9aiuzys7Kuv6F2Zz8zauEUMcrKCIIgyHXE79D3NB3cunNbZaOZTEDQwpjzyyfuvGF2poJHDbsmRzuqd73+yl4N5rAbJ2Tzl6y777W7C2k21Zn3/vyXaqvVQ9ACNjM7Tb7glwf/NFvwVZcL/VZV/ecf79i/p8tODjJDzqInp91DOfzu9q0HT2pTc5Y98vfSSDEM7f/zb7YbiuY+efviLHPPlo2v1xopAAFLwe1vzBcP1Fbvqmuw+OlbnxthL/p9hhgLODVVn3xeUVkzFiQID2vuX5++c3ry5O5NG/dX6ORrHlwi2rthZ8dkR+ytD68pnQGdx3d8sm+E6M98ou6lGwri+LSf7l0/L7744kcffVRfX0+n06+qmdpcLldPT09FRYXb7b7W/pe4gqOnduw/PWCwJ1zhog1DJxqazwzoYqemAEGEAw7dhJ8pYTGZDAqZyhRExMUAA3DsO+6FxomQRwSEXGo45Pc4DLoAL5bHIF/KZDUUOkcUERNJZwB27fQbysoIgiDIdxaeqHvnuQqVWPK7I+1LhCH/8NbbFm14MeAM3P/gDQpX64FtG/4x9nD3jlKSrP+tx1840tTQcGxBTMnkvufexJd/vPPmkhjFaMX77372/KG9O++efftX7UVf9XkDhVH0zMEPy2Q2y+i2bWpeXM7jL8oo5Ay1QPiztflAApg+dX6hsPS+gqSw+shYE3FvxZmbk8mkiW3bNOmF8pK4qIDF+qE6+/W6v5YDC1ft+8v7fbSkOW81PM/Tu/q33L78gQ/Cd7naWrpPnVKFhR/aKP+3p+XgyJ9vfvzDF36xr/yORx59Yecvzryc9vNN++6bK5PwE1g/5V596aWX/vKXv3zwwQePPvooAFCpVAz7MRNOMBgMhUItLS07duxoaWlJTU29xhqUKaLl3fHyU7LXnvnYdIWLTiq9ebEz6D7SCwCBYGDsxOu/UU37U1lJfo40IiZ31R25q67MXu75bSkAgNsy2n7o+b9MrN56Y6HkUq6Oy5PLbkkuu8b6DWVlBEEQ5Dtr27/vNM+aWrp+tgSARCLH3/jko3UPv688VdggdjL7hz5mPPBhGfDoAFm3PfnGTX6MxuEyadH3b+m8nSYWDu94+NEPd37ayOCnLP2GHWn2f1bbpeaLNt2aEbd+fTSLRQFm0czyZqvy0P7qm4pnRkFjvbowZ4E0mqtVG1vaDlfc+mLsyd8WyZcvl1CpuF3fd35pLXv2NFVvP/UB+c3n6KQwEXCZzK40yHv8sXxzJuOzJvLUp15aHwssIjaJzsTX3XXDvXfOizWYtHF5oLxOxjo/9thjH3300W233cbhcF577TUOh/MjVmbTpk3V1dXl5eUHDx5E/+e+WgBApx0J+7K+v114A36jdhDCweuiQVFWRhAEQb4rw9iQ0eQO4wwmAwcADKOw01LjaXBqUj8wQJZqx5ykdC4DwzEAKkcgPpe3gu5QsPn5xz/up09ZMnVlJItfu1P1tbsRl93ygNn/4YHdf79n3q4k8uxHP7wzW8aj42kzcjuHx2q37zld8ABU+2avlcZG8/niGSvXPOrf9uLGh5dV87GyR55aN7NcdGGBfrdbXFJ+T+atSzL+M/ySFZ2ZSGk71MBg0HC2UMShhIBCoZBITDaHw+UwKSYzmaBB96TO5/YAsH7iPcvj8VavXp2amupyuTZs2HDvvfcqFIofpSZvvPFGTk7OPffcIxaL5XJ5MPjjxLSQx2Zp2vxO9ZjRGQAAiEhNKFr48JwogKHDL++0ppSywWjurGvxRDDyb3hycSKbTgYAY09VY83BIwMABAF+0+iIMfp/r4lrTlRUKcfoUdlZInfVp9XjQGTfeOc8BXukrramoc0v4+QsejJF+eae9jGjK7pgYUl+qlx/5LXd3QCQufyXc851i906fmb7pg9rjE7Pvrf667NL5mVmJPvVO1phzZOLE4FD/dLDsg3XHqqtaWgzAVAYkLPmsUUpMeSRU9UnOidD/MzM4O59bZC7+OHUYGOTJcACMc+6d0etLwAf/3V4f868tbNnzIjEh9sbd20/MgEAICles7AkJ09kUXfW7d3bEbF2LVZR0W8RJy/NiGFZxmtGaTf8cnECuNo/3Xmsu2fcBQDAEtPzb3xycSLn6rsNAGVlBEEQ5HJ57AFVa6OwWEFmUSgjWsOISgP5sQAYBgwGA8e5dBqHw2GE8ZBGrycgCoP/flM7J62t+558dZy5YFbp3EUzSR0kVfc3ZGW6VFG49BZKbErKyZ7euuc2/e3T7HfWTpXJ2XFJimhFS/NHWz7ngjHybkmElEGhMiKSZyxeJ2CKThsH9v7twNs7o0Simf8zstLJEGSlZs+de0F00X/9l2MYwO7xhkOh66KT5XK5XC73eDwmk+no0aPFxcUZGRk/ZAX8fv8HH3yQnZ29evXqH3jXFwvYXNrWPTv6w+nTcyLYfMdA55C6pba2KTXXtuvTAydaLL2e1PyMVEVKimpw96FjLYUx+TKyp7/yxKmWPkdMfnkCKxQYq39fg/kuSPoEAfbu4werjxzrnyBH6g25OfHTyvD6D099vkUVlZYg5SuSElWqyqq6lqRpaSmjuoG+sZFJU87UVFn89PTh/TsaNUUuV9TZsqg0hjg5K4qpHGPFZ2enxbBtffUftvWoPKmLIPjlE5bbh07u61K7IbG8PMniGm19v+pIi0BdM9HdVNuidXDlJsGs8hklQExWVnacagsklWbLkxQpUlr/BD+teGp8UlIk1dHXpe0Y8KSUlycR4OhpaTvcYFb2s7zdLXU93UaWL3lubmYWC/Or22rb20dsrCxbgLB211T2mOhRKUVyeVA7OTJYUXm0pTCmQEZmX2U3baKsjCAIgnzLS2ph0Jrt/qD/i5hp1/U3vFWr+3V+UvLUrMSjKuXpmv3tRQ/kRIXD9p5WJSVOkpKYnRsTtIvlmlMfVKsSZ0QzWVTwjI0ZvOMaA6v14LZ6+PPfbp6Zp4joOeV2OQG+9u56h1JtF7JSF9+SmaU+Jepqe/JEr25WmkjOZkQkZySknHb+69M3Uuc/G0ERMQA8Y0Z72MqdedMvCmBY0a/6tVoz1KePveD5yPK0NHZ3S09DdX1yZEk8JxyEsfoj1ngF2Yd6+yIMBuOuu+6y2+09PT3hcHjKlCkXrdDX19fR0fFddiESiebOnXvRQovFUlVVJZFI1q5d+yM+NfALGInK5qfNzloyP8LdOdHRE7Rbvf5RjTuP7/d6CCKEs8TxuYU5ZC/Xc7x+SOMMZ7o0vY3NAzqGeMbqlbMVrKBvgtMxpmu++HcWhpM5HA4tRPUHSeyEjLKcNJ3jaMNeLSkibUb+tMywneWtb9KMMO9aPN0yeaZnCADoQkFs7lJs4sye5vOyJZ3BicqZkxmxv4WeMaN0XpxQXVPVHvi6uyANPQ2tGqd0atG8ebksq0sT42RbRRyGl0wmk0gYxmSLkwtX5kXCRNtWZVc45AMWXxqbwU4S7u+Izl8wp1gSB721++sO1ampBSVpbAB/0DrSavKEI+MlFDKOYWScHJk+pzhT5p487jK0BDxfHDInftqM9GwZ1+Hq1Yx6XOHRIbUjlCkB9lV28qOsjCAIgnwDh250oPFEba8hqGquO3qYNCYRAgCY9eqh3Uepj/4JWJKS+QvnT47Wdu3a+FHMkoxwyHCm3ZK5aFFZTmY6y+LMXp7b+u9XNhfrpkgFdAgazWERgfOzWdQY6GivqhJNyiXm3kGDHbepO44dPAidGrvHM6QcUWn0MbES+hf1sLU3HfNrXbz4aPDYBTlFhW5BmIGHACiM6LT0nOJlgu7PS2YrGEwOALiGB1sGj/ZIslMBgCZPz6ZFsQQsKonDYYN5uOHgQZc8vyx/9uL68W1N+/5JsMwFYiIE5o42lt/qUaqGdAYLSdVc1RGpcNX3jJqdkyNdA531LS63umHATBCjHS0jRRKFQMijXkdnwq9+9auXX365q6uLSqWmpKSc/1ZbW1tFRUVhYeHllTw2NhYIBC7KykajsbW1dXJycuPGjWKx+Mc/fgqXKctespreO947MNyk7FNp9B7g02nMhLKflTZ1qr35RVnZGXF8tYrDlhBOnzfsGW/u7g8S0ekFBQoOAJDw6ClFkZyhC+7twzDgppcuMGnVo4Q9YUrpzAy+C3zCCJwsLJyeNSU1hqcaYDMjCKfPS4QubaS8KCZ9ytTZQx2bOwAIALu2V623utwAAFQyTZyYG0tXtXY5pHFp0XEiAOCzUubed7ZjM7gsq/7ECC99ZmEMAEBMwcJpPUpV7//uxDw2odd1mD2JypaWs7+sYlMFmdOnZ8sitF7TQGP00vJ4LoUF7MS8nLzx4aEqA5AowM0qnc9QTeg0nV2a/v6+UdtVO6QJZWUEQRDkG0z2nj6w6fXNSohWjNS8vaHmP28I4ti3/GUKg8YBTt6ah8k0xsdvbtr062rAcMh44PmnV8zLjuQA8KYuf/ANpn/hH998BhwAEDVv2a3rH/95Gl275rbUjv2fvNjyCURmZcmYilTS6cMvPnkYACh86Gpob5iSk3deViazjU3v7apsHwcAXhR56YbDi9KiBWffFgojCxc50emOAAAgAElEQVT9bFKxaqqAgwEAkBiO4fa6jQc/OLvtwqdeKy2fO4Uy6CgoTDj24ebH/w+W/N/2hxetu3uN+b33X//o780fAZkOS//20YOUsX93tXdaHAA92//yGefukY0nRoJMx+DRhj0Oc0LC8LaWYHLy6OFtp0tTkhTXV1YGgN/85jdvvvnmgQMHuFyuTCY7/62ioqLdu3dfXrGbN29+/vnnz19it9vPnDnT09Nz2WVeeaGA3zLafWDTO43muAW/XLo0L0549OPuL13VRxBjRkvY4hnROoJAZ7C/aw70hYlxg4kIfqdyJjr2bT/WrhoDABBwRaX3ZEVLHdaghxsKfbchRey4+OmLf/tIedT5C51DvdqvWJ8Ig9c2dGLnJyeVgeSli+Y9WJRQ8av3LCgrIwiCINek5Fk3/nHWjX/8hrXEWSt//9zK3z/3JW+JRIo1z/SveeaixfLVf+5c/edvXw/Z4l+8vvgXX/rNS4yN6of31cf9/BFgnZ3zWDh1/kNT5z/02kVrJs267w+z7vvD+aU+/OLsh188f52pz5avfva81/fcc0ERzzxznZ8PDz74oEgk+uMf//juu++eXXJl55I7+0C+3bt32+32qygoAxD2MXPTrsc/inxk0/+VKiKEmuOab3p2oFAsZTC1BqfNbCEI8ZVrJuJC32obDCB94e+eWXjR4ggZzWJ0mJ22sxUkCAAgAOCSHotocflMRgNBRGIYAGBnq/TVJRABN9G1+R87SAV3/WbpvIxoY3fv0NX7FEYSIAiCIMg1ztHbYRhoI9+6OhaAgprj+7dkyZJXX311/fr169ev7+vru7KFP/300+vXrxeLxa+++upVddR+v89oGAMYM5qCPh84HTaH7ZsuhSampQlC7iNH9205qrwilRCKhHQ6OF0Wmy3gduk6moeCQe93KTA1cwp3bORM46HaMQCAsB/01btPqIYnv3Wp0VPSMtgxrqMb/3VSBxACgOHDh0427O/9ygfVE+GwQTcRDIxZ7W6XC7xet8Wkv2rPdnRdGUEQBLmGGevf+eDzk1UTnKTpCx9ZxqNi19LzwK5dHA6ntLT0rbfeAoAtW7bY7fYrUqzb7X7ppZfWrl0bHR2dnJwcGRl5dWUmHl+cm1f44a76f7/QyaWJBWSPFcijDbte1J4Ew7DOFqo5zKVbjUJb597aEZ938pP3E/jL0lYtCWLH6k5ufV1XxQECfAaVxhgwVRAMnLpkaUk0ABAAqrodR5uaVcqgzrUtRBRnmA7t6zY6/Ee34MHhAWZAVVOvcru1H72bJFjGieVRzpw89O9hpYTG5XN4YdLggbfeqg17jVqjk+3avTvhzqyESHLj8Xc3nuFxcZfDpBu1uSc+eCvt0XUl8TzhRaOGaGmz7lwS2t3Q/sGLT+xnAokCoszZi7jK2vqGemW/h2Lf/i8e7YH58aqGj6ubu0bVGACfxyyJz4gMnNq54ZWq7Dk3Tc8qKi53uz7/9MMN4wdoAFjklMJCttTQWb2rcdhp0W7+owgeW5gdstTU1lS2Dxox046PE28tTKDvG96z6V+ndoi5OBmjS739R9582nfTw/PzFAre1dTv6D88giAIcu2iS1IyCwjSFHl81rRUEWqPHw6Px1u2bNnZgHvixIn6+vrvOPXy5OTk5s2bFy5cuGLFiqstJZ+F0/mixPI1D7JGw4QfgCUU0nE8WGSwAQBAQQkAcORxERx6iDqPlTQPAxAkRUTEyiLEqzmS5BHdF+XkTwcA4EVFS/47LQtbklEyV5hWCMDgcKRRMaLpS6TFRBBAGBnJxHExjZsCJAB+oihCMGMZJ0ajsQCZTudJpflxubZQ6ItJ6GgMrkQqTJSuvUdu9J6dA/ps3QHjx/Ep1C8ZT8CVpU4rX8SJVIwZAIBEAX56ZgzblTOdLEjKBqBzhNEcDMc4sqyZC+U5DmDwZdGxsdKYOx6ItIA/LI8RC8TiKOEMCk7EjJ4tUpaZnSjkOxiwkH728ejRUjqTQhCKnOLlokSgkGnC+IRE2W0src3pBKCx2Wwerzh13Aogk7PRnHEIgiAIcsWwk2YtTpq1GDXEj2fNmjWBQKC5ufm7JhIyOTIy8sEHH2Sz2VfrsdJp7PiCm+ILvnHFnKILfldkTJNnTPvqtTEASXLZvAumxLtoVr7p0897URybWlz8n1dFRV9S5MwVKZdwXILo7JLo7AuXFUenFp//Wpo2Z1HaBQvWXDAreWTm9DWZ0y9YQS5Jyr9gNxftZWF03rVwhqOsjCAIgiDId3LrrbeSyeSurq7LLkEmk61Zs+bll19GjYmgrIwgCIIgyE/N2rVr165de9mbL1iwYMGCBagZkasQmgcDQRAEQRAEQb4cuq6MIAhybWttbc3JyUHtgFwqh8OBGgFBUFZGEAT5KcvLy3v88ce9Xm9FRUUgEEANgnx7GIbFxsaidkAQlJURBEF+suRyuVwudzgcJ0+e9Hq9qEEQBEGuLDReGUEQBEEQBEG+HLqujCAIcs0jkUixsbF+vx81BXLZuFwuagQEQVkZQRDkJ4jFYt1///2oHRAEQa44NAYDQRAEQRAEQVBWRhAEQRAEQRCUlREEQRAEQa5XYYCRhq3/PnCopcd4SRt6vI6uQy+9cKBJO45m3/4CGq+MIAhyDRsYGDh16hRqB+TysNnsVatWkUjowtlPiT8U1LZ9/vmB/TXhYgkjLT9D/O23DYT8k/1Hj/jjV8bHy6M4qDFRVkYQBLn2s/KePXvmzJmDmgK5VJOTkwMDAytXrkRN8dMSJgi3WanWu7zMS4+FOFWaXFYejOZwqKglUVZGEAT5SUhNTd22bRtqB+RSVVZW3n777ePj42evK/N4PA4HXUj8CaCTycnz75rXM6Y3XfK2TDona/ETWagRUVZGEARBEARsNturr76KYRgALFu2bPbs2ahNflxEOBQKBgIh4txrEplMxik4hEOhoD8IVBoW8odCBIHhOJlMJZMIgiBCfn8wTJzdAiNhOJlOPq+8YMDvDYYIAMApNApOIkKBQChIECQyhYpj/92WRMJxChXHiFDAGwAKjYyTMCIYCga/qAxOoZJxnIShrIwgCIIgCIL8KNzq042HP33j8Ni51zk3rV8+e1UeWdtXu+eF3fCLp6QnX6vvGVVFlJUtXPGrefFEwGs49sqLn/eo9F4AAGm6YtatL9+c/EV59pFTn/Wf3nVknAlYyQOv3zI10ti5ZcfB/Vpf9rz1v5sRceyVv+8a0lr9/8/eXQdYUe59AP/NzOmOjbMdbCdLLQ1Lp5SUjYWKYl+9ctVrdyFeRUFJ6ZSSWhaW3QW2WLa763TXnDnvH4SAgujr9cLy+/wFE8/MPDM753ue88wzAFG9R0+c+0TfYH3RhsVfu+a/NWZQlEqdefTAzjXHOwFYAIPve3vO0PgAJWZlhBBCCCH0P2CuqSwqy6/1H7towQA5kPX7Vx6rKCvjcdXO2s27Mlu1sHz9+Jkz7ogtzz7dXltQVJCqTLDlbdqmCRpx75hIlcpSXlxUvi/7+ImM6P7M+RKFqqTUQLnRvve4ZtiUKLFQCBylr39yhoTsF6NsL1yfGz7+vkl+UoG7vpMW29trc3I+W3+wvTPO4aGN5cVVpi7e6CdfjZS6af3pap6EYm7L04JZGSGEEELoJsCRBySmZ/gTyrhgKPj+cGl9dyshTgQqVhUR45/XYpYnD0pJ7ZtMeLuqtQaDyeDhsKWR6TNnS1OSOF0nq0qKS6o1HpdA44KLoZYlkIfEKAe41W3LurpdHl8vGC1epVgljomT8ZtOt1QUmxJT7oqL7hUaavNYLIyWkxKcWdVGAgBtNnbUVdYJiNT0h/ur7L4+NqVEeFueFhwmBiGEEELoJsD18fGTKbnNpw/tLdTygeKwSAJApAgMi+0ToeRwQvsNivARiUR8PofmuM0WO48ShyVGuZsKDuZXtqtdXB6b+nUAFyqDw1JTlTXbK9osxvY6M0dK+MYECgU8ZeSoQZy2vEP7tmzanl9TbZEEy4KThsYqWSQLALgBkVF+Qbz2U9u3bNq2Y3cn4XWT/NvytGC7MkIIIYTQTcCmbi0ryDyeUwa+Q2Y8Oy9qbXNH+TW6PVhdbrbZ6HB312XvO5ylcQenzx6ZkBjK+7nqxK+WFchFIQmTlWuPF9eIufXugERZVJCQDRDQd/oCwrU6q6om+6eahoj+7sAJsZJf1gpNGDSKxRGw9pwqPHamkK+RCmYMifWXcDErI4QQQpehbXqDXqs2uc//V+wfruQ4aaA8LLGM52E8VnV9B6MIkUoEAvY1imBcbruhrVnLUUUqxFzejX7yOMxqrcUGbN8gHwGeB9TzeTqKCvPKczRpj304vy8FTJGbYa7XQ9hr11rP7frPAf7cdx8dkxLi03qyk6YBfv13yOXw/RMHJ60/sH83LR82m5XoD8DQDENbBINmPTOYaj68btOO7PLszNhe0y79rXnsTso/JH3O031GWs5tf/rTHSfK0wP9fVP9b7suCdgHAyGE0DU/i72MR1+w4bsXJyZdtHj12eKsLUezMrdWer1ek9144MOh6a9/X1DYec0yvNaWtuzP70pI+OfWxmrdjW6aYSoyl734+v0vLC/CE4FuC2az0Wxqc7nUXd0ej8ejVnc5HXYvc57X6/V6Gcbr/eV/Lqezu7vNy7RqtU6rxWMxmwwGHXi9DOPxXFzBy3i9XmALRapx04ZoytqFCq/IPxgAXFpbW9bBYtpk9XhCMoYOSB4S6lDr9BfKZhiv8WxNbc3ZRo+Hp2Qnz39sOJ9DG2x2+214XrBdGSGE0LV0HPtsyYofm83JT2yqviMNAACqNj/18Vv5xtRn5j2e3l669/M7XlmvNQ+63ud/eeG+Na8+920hQOgf2HTh1hfe/27Vgc6UKWF4HtDtQRyfHJ/QUPr9zyueyVvPguDkaKdd37b36w+OsUmXzWh11S19T/VImvF0TtGZsna3VO3lKR6aMJC1InfZP09w2T5BvkKCI+7IXvN86RawmfUWT/NeD4snvXtCXzkXIDXjjhHykH6xERfeee0yaU5/+sBuykuTQAempY8cMdmnYs0b26tctHftd2JbAkvbXpZbuZQNXpLtSrzvhQlJaUG3Y49lzMoIIYR+W/fRlRv21+njxk57cM7oXkFyAABQzPmXUrV5n0Gu1jGK5D6zn5+UvWTj9Xow8kMi+4599MnmxiUb2X9g45GD7sgoq2s4ZvxvHJnTaWk8/P4rLUPfGdEvLt4HTzW6KVDc0ISRsx+NGGEAAACBQkFOsDhdrgv9n4AAEKjCZK7w2GETbS5gcQQSVaSi9xsBetrjBuAIBBwWizGZbL8UyZX4qlRCAHAD0VjaqgpIkKokLAAAtkwUPvqBF+OtXi8DAEJfX39FINc26cXggQBeEPgESAiXfegQowMACBKUEQlBMh77duyPgFkZIYTQr7kA6rLWHMi3Rw0ZMXJivwtBGQDkvQanS6QiLWHmSfhiMnFIrA+Hdb3PErZEHtir74BecgDqD+yAPCQuMizcV3j2v5KV3c66/K0HuwL+0Rvf5otuIgKJKkKiividpVTBV/y3r/L3VgCPw2aqONypGh4lk5+PykBxOZLghAFXFgWyqPTAKyZE4UnBrIwQQujXaCe0Z/2U18j0vTMlKS70qkfrfBMTfQEAwGG5cobD0FZTfiKrUAMAAIqkAelJyb18LvvV1tRwcmedobXNKpCpovqMGx4nBpIAa2PembOVpS0WAAAWF6IyZg8I8b9OkDe0tZef2HNhM2FJI+IDeZq2M/llOg5AdMbdAyLk1vbs/JJigys4YfCkGEnVwb35nXorDeAfEhcRl+isWb3lRLPLcXTLVkOHaUxqWnqQUN9acXhfgRpcDEijB/ZOTkyWWrQNZzcdN/WdNphXfbKuoaOdHxGW0HtcL6by590Faq8tsP+Q3vFpoRK8XtDN+63X0NJWX1lQrzebvKEDw/wVQg5WCmZlhBBC/0+M0+nIzy20WwPCQ4L9fS9O9YCjvay4odvicAMAXy5RSi5rlnUa28uKju7etTWz3M4DsHfbT1V1zpw3a0Tfi50cOstOnfae1bQ1VTRZSH5IOqN6ZmaUr7urdP+mjQeLzug5SsLmMnef9DWGvH/PmGu9S9dt1NQVHtq8cWO5jQ/g6g7Xy8newe1l27/+PqvLFrIkeHJqkNxQc3Tblg1NjtELwtKJws0btpYYTXaGMfjHjxpA+ykqd2SXumiy7IRbQyiDFaoohsk7knlwd1YrOK1dzoDa0ROnentZyrcse+qrznnWZxO7sxvO5Z+wBomTx8MYWd3BXVnn6k7ypzz6yAOh/mlKLl4y6Gb92mvRdNUW5ZU4idTZU0IEOKQMZmWEEEJ/AQ/jUXd30G6apmmPx3Oh9wTjAk3Wmje/3H3qXJOTJOPHZdz18MZRF9dxdZQc/XH7wXr6gQ0HZwQCtB149ZFPd635xsV97dF4HgAAnFm3O/Hzd596s5+8YvXWpe99+uzS1DGfTLKdOp7nVvZ96uMHxvWxFdQc+HrUyzuzaifFXusVYZaamsrKfc2j3tnw8AAZz3j4UFtIiCRhWJqAK6Y+OjltQR+FWALCwOi0yYuSZZOH92resuRQ3CNLF4xODWaXnm2zWl3RUaO/bDwx9h3fx5Yump0+0K+9ZP+u7SuOsp//9oMgEKj3/uftFTlrK2ri4rq2nmYz5t0fbA766v1nZ1enrvryxZXvLz41a8mWAz80v/3QP3MrzlYWj0ob7YeXDLpJCYLTBs5JGzgHawKzMkIIob/ws4FihYZHsTn5HWqNzmgEUAAAUDwImf/OT4OHvbX4y2KRbPIL6+4JclWfu7BO9YmcPEuRZ8zbd5zv7xg07pEHS+q/yD516OfB8dMAAGDyW5/dMyY+QQLEgBFjH2gpPfTd8RMfDR859dkVU4AgOk6v+/7jh1/aTbo9vX9n/4xVjVlHJ/47tvzfw8LGjvUDIICA0NSxk4c9/fWaBUPuUUobqjVikz1whB9AqxnOfvjYJ/4rX5oxKy1NCgDOTtPlpTUVleduf3fvUdi/6y0CABiGZlQZD90zZOar4zn3z/g8+v0v783oFQe6cwqfoYmCfh9+cX84wSLDIvklFrxWEMKsjBBC6HZDsNgQ2iuOw8kqKq+qa9b0V/gAAEEAUCw2m0WRJElRFItNka6Lq2g1nXqtxkuSFEWcn0IGBPqLxax2Y1un+nzYJlksiiRJAoAgSYry0K76pmanO0Kf8/XXa3edtMWPnrXr8MAVU/7ddb2dkyT2m/rQZyz2My8vnHJYACOfXrJg6vwBgaAMVaSPfWH5osz8icHNxRASIPQfpOJzidT7Vu5wP/vy8jdmL/13/1nT5t33znjxlSV6vdLY8DvGfvnWpMCLDyCyhHIZz2QrpkiCoM7vtpcgCIIkSYrFogggCIIg6rX6brUWANuVEcKsjBBC6Hb6cOBD6PQ7RnxbdXRvYX6fMwN7Twz/nTVEIglfqNZ1FJeUw7AEAABgs9kUJeHzZBLx1UtbrXadXc2O6Z3ow2/Y9vXq2kbp6DsfmDAiQCo7LadI9fW2RPGFAcn971j0uXK0sfzH1/et23XIJyRg1tAQsUAZN2Ww9MX9W5yMPnZSaEKiiE0CiIIjhi7410dDOkt2/ZCZfXQXf3v4g6OuKtPmpQxsSVJSHMAvfY8t9vrfOWiXx0PTHrxcEOrJ8L19CCGEfv3hwAZRr4wH5o4IILp/Xrtxw5ZjTb+zBjcsJTEhMFBXfGDF4SoAN4CxtKjSKafi0gZE8a5Kyh2VxadySpv7T5mVKIG23DPnms2CmITUvhFil07bff33+oKtVdPdUmVPGjlz5rT7n74n0coYais6LAAsrsgvce6dgSV7Mxu8VrYyVgLgMjg1xTlt4XHDJk6557H5g1URTFlew5WDNitDA0Pkcbaj36zIbbW63ADQUVBYdGZ/hRkvBIQQtisjhBD6bcFD7p11F1+0b8+5nO+/Mpvqep2frCutZYtDEgbE8Cy6+tydZ9odLvXpnPJ+k1MGT7mjbtOuw19+s7IpBsBaX6pWDegzYnhaiMhtiR2e7leUv2OHxfeMxKJta2qme41dMLWfD2VW+QfyCqrPHNi2wlTB1dqa3HJGXXlk29ZqXV1Za0uHtSL7eEXy8CgRXHgNgrOz7VzexsycomgAAIM8KbZXcLjUCwAUTyTvN2dGRPaOiET/0BBfAKDNtrbc7evOFkYQfD50ulShsb4J/ixSEhjqRzQU7P6J1tozwv0G959WWfjpp1+tsg4OFHE5tNEqDeCRhCmnpIth4Pjm0wFDW3UFZ4obWzVuwZF1JxW9zZmnq9r1re6yiuKShoiUCCFeLwhhVkYIIXR7iR75xD/ThsX/tH3j8sOrVp24ODlk3Kxx0+8d7mOpLD1ztEveu7+zs7y9dejAqdNmyQTcpZ+tX7UqHwDCpy94eOLMEVEyAHevcYuen/XcmkOHy10AoEgekzHniWdG+gKAcuDUSSPb3MfOndleXaZQ9Oo/dNJgV+25gz+fAwCZzE9qLztZaR4eLriYlVkir82iObkp9yQAAAx65Nn00WNjxRc/1IKiB42a169/QpQvAADJAVLsLl6z6zTtAID4iROnz7lvcIjTnD7pjmHrzh0/vsvCkc++66Ehkx51d57+4ujWJicA9L5z/qyIkWTp2gJzwJBBULOnvJRVUd/QZBAqQsBeuDE3kd16uNntEynwmvW1pU02zMoI9ViE1+vFWkAIoZv0Hk1cuEs/++yzDQ0Nzz777FUL7Nu37+TJk9nZ2VhXAOBlzB77gTeeNA57dOyAQWEyrJHrOnDgwLRp05KSkgiCAIApU6ZkZGQAgFqtvvfee3NyctLS0m7anadpOjY2duHChenp6Xgq0Z+WlZW1devWkpKS69x+sb8yQgihHsJtMjav+do9eaRfeIgUqwMh9FfAPhgIIYRueeaqQ0e2ffvWfp0r7a6vx/rE+JAEVgpCCLMyQgghBABc35ikMfc/H+2C0PTkIKGAjVWCEMKsjBBCCAEAAEcRFjUgLGoA1gRC6C+G/ZURQgghhBDCrIwQQgghhNAfgX0wEELo1kbTtNFoxHpAf5TVasVKQAizMkII9XCFhYWxsbFYD+iPcjqdWAkIYVZGCKGebODAgZ988onNZlu3bp3L5cIKQX8ISWJXTIQwKyOEUM+lUCgUCoXZbJZKpQ6HAysEIYT+4q+UWAUIIYQQQgj9JmxXRgihW/9WzmIlJCRgHwz0/+Hj44OVgBBmZYQQ6oH4fP7dd9+N9YAQQn857IOBEEIIIYQQZmWEEEIIIYQwKyOEEEIIIYRZGSGEEEIIIczKCCGEEEIIYVZGCCGEEELoZoBjxiGE0K3BarW2tbVhPaD/Np1OxzDMLbGrWq0W/yjQ//Nqx6yMEEI9xOHDh48ePYr1gP7bvF6v1+u9JXb1o48+IggCTxn6/1ztSUlJ11+GuFX+HhBC6DZEEBfu0l1dXTfS/oHQXyUiIoLH493MEaeurs7tduOZukEMw0ycOHHJkiXDhw/H2rgcl8uNjIy8zu0XszJCCN0CWRkhhP601tbWRYsWpaSkNDU1zZ49e+rUqVgnN377xT4YCCGEEEI9VllZ2cqVK4OCgtLT09ls9uHDh91u98yZM7FmbhCOg4EQQggh1DOVlJRs27ZNo9HMnTtXLBaPGDFCJpMdPXp03759WDmYlRFCCCGEbl9VVVXbtm2rqqp66KGHLk0cNWqUSqVavXp1bm7urTLgyf8W9oRDCKGb+B6N/ZURQn+KRqN59dVX7Xb7ggULfj337NmzK1as2L17d1BQEJvNxuq6zu0X78IIIYRZGSHU00yaNCkuLm7SpEm/GYU9Hk9ra+vixYtPnjyZmJiI1XWd2y8+24cQQggh1HPY7fYZM2YMHDgwLS3tWm3GFEVxuVyr1Yrfxn8/NGMdIYTQzXuPxnZlhNAf0dTU9NJLL0VGRvbv31+hUFw/Uufl5dXX1y9atCg9PR2r7lq3X2xXRgghhBDqCUpLS9etWyeRSIYOHSoUCq+/MJ/Pz8jIMJlMW7Zscblcw4YNwwr8TTgOBkIIIYTQLe/cuXM7d+5sa2u7++67fzcoXzJt2jSn07lnz56cnBysQ8zKCCGEEEI9UF1d3aZNmyoqKh5++OE/uu6dd97pdDpXr15dXl6ONflr2BMOIYRu4ns09ldGCP0ek8n09NNPEwRx//33/+lCDh48mJeXt23bNqlUShAE1uql2y+2KyOEEEII3cLmzZvn6+s7Z86c/08hI0eOnDBhwuDBgy0WC1bpFaEZWywQQujmvUdjuzJC6NpMJtO8efOys7MlEolMJrt81uLFi2NjY3+3hLfffrujo+P8v61Wa1tbW1pa2qpVq+Lj4/H2i+NgIIQQQgjdwrhc7r333ntVi7LL5Xr55ZetVuuNlFBbWztlypS+fftePtHX1xfr9hLMygghhBBCt2pWnj9//lUTbTbbW2+9deOFZGRkzJw5EyvzWrC/MkIIIYQQQpiVEUIIIYQQwqyMEEIIIYQQZmWEEEIIIYQwKyOEEEIIIYRZGSGEEEIIIczKCCGEEEIIYVZGCCGEEEIIszJCCCGEEEKYlRFCCCGEEMKsjBBCCCGEEGZlhBBCCCGEEGZlhBBCCCGEMCsjhBBCCCGEWRkhhBBCCCHMygghhBBCCGFWRgghhBBC6H+BhVWAEEIIIXQrMplMU6dONRgMl09kGKarq+vGC3nuuefeeOONy6f8+OOPiYmJWL2YlRFCCCGEbmE8Hu/5559/8cUX4+Pj09LSLp8VERFxIyUsWrTIarWe/3dTU9P27duXLl0aEBCAdXsJ4fV6sRYQQugmvUcTeJdGCP2O1atXnz59OiIion///n+6kMrKyoKCgsTExMcee4zL5WKtXrr9YrsyQgghhNAt7P7773e73UVFRSwW66rW5RtUVVVVVlYWHh7+9NNPY31eBbCaFIgAACAASURBVJ/tQwghhBC6tT388MMDBgzIy8urra39E6sfO3bMarW+8sorWJOYlRFCCCGEeqD7779//vz5y5YtMxqNDMPc+IpWq5WiKJFIhHWIWRkhhBBCqMeaOHHismXLFixYoNVqb3ytzz77LC4u7t1338UKxKyMEEIIIdRjcTic3r1779ix47PPPqusrLyRVd58883p06cvWLBAKBRiBf4mfLYPIYQQQqiHEAqF/fr1a25uttls11/SYDB8880306ZNmzp1amBgIFYdZmWEEEIIodsg27FYixcvrq6uFgqFsbGxv7lMe3t7ZmZm3759586d6+/vj5V2HThyJ0II3cT3aBxfGSH0p7z55ptarTY5OTk6OvqqWa2trUVFRQ6H4/PPP2exsNn0d26/2F8ZIYQQQqinee211/z8/LKzs9va2q6adebMmZKSkmXLlmFQvhGYlRFCCCGEeqAlS5b06dNn+fLlDofj0kS32+31enk8HtYPZmWEEEIIodvagw8+uHDhwhdffPHSlLVr19I0/f3332Pl3CBse0cIIYQQ6plEItG4ceMoinrmmWdeeeWVHTt2xMbGzp8/38fHBysHszJCCCGEeiaPx/Pqq69qNBqsihthMBiKi4u//vrr0tLSxsbGX/dgvp0FBQW9/vrr11kAn7BGCKGbF46DgdBvomk6NjY2ODg4ICAAawP9aS0tLWazuaSk5Dq3X2xXRgghhNAtafLkyenp6VgP6E/LysraunXr9ZfBZ/sQQgghhBDCrIwQQgghhBBmZYQQQgghhDArI4QQQgghhFkZIYQQQgghzMoIIYQQQghhVkYIIYQQQgizMkIIIYQQQpiVEUIIIYQQ6hnwvX0IIYQQ6uHObvvPwezTZfpfz5GHpgydcP+swcq/Z0c8AFX7P9jQGTgqcXTGgMDrLVq1Y8mW7LZaLaiSho+Y8eDEXj3xxBhLsnYfzG8Tx8xaODUaszJCCCGE0P9CSN+MCTyKm3P2SC1/+F3T0qTAIgEA7K1NVtJj9fyd++IwdbZreWab+5pLuK26xiNfHLEkJY7JSGjMPNdafjKvNL1XkqyH9QdoPrZ575FDx88x/v38nTfvbmJWRgghhFAPpwiPV1Da9ub2k52iqP7Dh/gDlwIAcGrajFabVfi37QgBEJgyZVa4NDpAdq1l7E5bQ+GeE9qxs0f0iQ1JVIY1qTU8CQeA6GFnhe8TFKQKUDSob+7dxKyMEEIIoduQXa22s1hSv7Cgv3GjJIAqfvSk6y1C29zmxso64E0WcthsiX9a39AeegZ8k4YMtRoaGrMaMCsjhBBC6GaVn58fERGhVCpvs+PW1dSo+XylXETajd017SYAEKsifXluu0nTobOTbK4sKEYFnS1dBrP9YocJkgXS4BixpVNjNF3qRUGQIPPzcWmtDrfdwxfKlKpQKZ82d1a1GjwiWbCvUiHkXljUC2BV17U7eUqRUsx16rTtBgiK4Gjr9Ta3k6uQCdkie0NZUXWz16toq64pd7F7+Sl9JFzapG9t6baDF4AjC/BTyhU82mHWtbbquMHBRFeXxcni+/r4BYjYTqu+ubHLAYwXOFJ/H6XSR+R1O0xd1W0QHMG2dFssVislFin8I30FAADgMnW0avQWCw3A4rFkgbEqIUUSAG6rtlur1hpcAATJ94sMVvD47Kv7gLgNbR0ao8FGX6gcWXCsv4jLdhjaui0ukhSLSH1rtx1AEhTmJ5EK2ABAO63mrrpWI3i9AKaGVo3ZCVLMygghhBC6uTidTr1eDwDz58//+OOPp02bdhscNOOhnVaDTs8GDtXc3u1RKpVgbu84teW15cetZnvfRz6bH21sOPXTyn3nCKFqxAurHoIDP2zKPtugIxm32+myknLhpOe/Sjy7bt+pM7VakqFpl9PCCAST7p2l2VtU2VJjjkkdM+OBFwZF2M7t+feHmY4Bo565c9Lo+CAAAK/X67AbC/d9trIzenqfCan+DQd++i4LHnsjIvvj7Kr2Op9RQxL9+jOnvzlQZ2W8LXu+qvo5ZODMO8dP6q3qzDvy/bc/NQNNu2T975o2fuSoUGND/r6vvzwc+PjTogN7qjvlUbMmT5ubIGkuylz+xe5GsLtd0rSZEyZOnJpC6GuzVi/+Bp54K6hxb8W5c+c4KbGj5r4/L5VDMi5rc9GeHw6cLK/U07TAnzXgwRULB8j5pMfRXXtyx8F9R3I6GYKi/Ca8/OSkxLgAIetSWvZ6gXF1ntq8Zl/+qSYby+vxsAWmtMdWPtongFtz8seNxR0CwYD+8rwVu+vshuSHX7ln5Mg4X9Lj1DeX5G58a81ZDu0hGKfV4XT5JgdjVkYIIYTQzeXEiROzZs0CAIvFctsctFnbnLvq+Zx1BAAwdPz0edPDMmQRYSMf/D488P0lmwQAEDx0cqQywP+ndZsrAQAg+c5/THhALPHvOluYmfXJQcniBanKGtb0ZyfNk8oC1KUlWUff2SlcfN+E/rx+UWu+POeODxk9IgZYDDsldWiMYsDs1ITogAtbt9HOsxue+vJgm8Y/uoW9r+nogb1nXCR88q3qjddfnJS9Y1dpoz5EcNc/lvXZ//6STf4PvDd9cESMn72t4NTpk9Wyxeu+8wG2NnP9N3sLV+flCflniwudTqL2P2cfeve5O+MC/dhOdVlhzr7TnMfXLfUFvj5726q95w60d9eEW9avzQSAFT9OfPLRe0cPL83M3Xc6J2tM0hi/7uyv368Ju2vyq6/8iyo9d/znN3ftO3JHn7Eh5rqte5vZYUNeXfeEQG9rPvTRv9/dK3+HHJmY4PPLFw/QHPtpr1aUumDJS4OSvQ0tp3Y+9p+dJyYy7k07zhSU13tlwR6/O5/4z6rOtU99k1dcGxMa4itvPpa158dN1gdf+2ZMCJ/deuDDbXuzam7uiwazMkIIoT+oate367Z+d6ASAIBkQ+yDby8ZxKrt5PCV8aN6+/zde1N24IMVheqgXg++MDfhLyy2tSrzp22fZpL/3PxYH5DxetQJ/OijjzZv3mw0Gk0m02127QrlgenjH793sALYZH1OMS8EAEiKYnOFfA6LIAgAIFlsDpfPZVMAAAREJ0RLOCxWd31NeVmpccgDD/flcfgxcVEcDsnSNJ0uLynUDnnooX4ivoQd2Kd/n5oz9rLy6qHxEQKmoUKdGu8j9xVRF5tieRQrYeqiSR3L99kgIHZAaG+RWru3zu/epzNiAoLsASpBvclLEGyegM+hCILFFfAFAp6utLE8e8PxUqK8fA8LCNqk6dLxY0cNHth3fKpo3eo8/3tmpoWFBAg57O6q1rLjG3ILoKZ+PxtI2qxT69jRqgBF9NRHRtUuPeA394GRaXFRXE+XTOrf6KGddij7ea+xz8DQ8JgQoZBITpkc8vkgRhnEETflZJfl59SZOIf2CCmacRrbjcYQtc5sswPwL1YmCYr0Wc8nglDq7Mg5enD99tNmoFW0N3LI7NEE6eCYQ1Jn3jk0RCjmhIYQah7jZSy1zVWNFS1REx8eEymTCFgkv/+QhGq1oQuzMkIIoZ6ieuerm3eVVHLiMhZM7C0D8DLA6HKWvp9fyEucOV35t2ZlBqBy/3tLf/hhjzrhTrHtry3cZTO0N5WUUSagmR5y7miafuGFF7q7uwsKCqqrq2/L65fF5olUkXEx/sClhGq1Rvg7I2AQIBDwWaAuzc2vb22NGPrAQF8xCaRAQAFoKk4X1jQ2hg17cLCflAIKSFFU36jaQ9aOvMJav6F0mTV1sI9MJqIulUaRpMgvzE/M57iAK5TJFSqZgM2WBYfJ+cDxsNmUibbpjVd9f3HZHYSYih41a2KC9OJQGFxlSJCSJBsqBSQpDfQTczlsAHA7nF6eJzxj7rTkS6PLceWBKl++pEvJB0KqCpKL+TxgsVgOwm1Sa9zazmq1O57D4/I5ACAQKAUx53utO00mfkRYeuCQ3kGiS98zQmIiFezL6oYAtkxgyzt8tLzJKQkIHTueOfPNXjeAQB7gI5MKRF6xzM9fxrECh8sjuy1mm7ZJo27saGdCM2JlXApIAJ5IKhQIOTf5RYP3fYQQQjeUTN12Y/HWVWvW5brHDJ0z577pfaPFAAwNxrN77C11ORqX1un4k2Wbm/Oz6jtpdur0ISF/aEW+TMJn8yj6r0iSHpemeOtadcychOiwUKlMFZcx5RkV0Qv4t/5HZWVl5caNGxmGWb16tcFgwIsZAAAUkZEcFusGfjLQlBfmNTfYA+PHp0fJL07UVp491Vhj9I+fMChacXGiJCQyUNzSXnv0aCGPrfMfESiRcP/I5eOgaYfj1yMNe/hCYWTKmDG9AH4J3ramxl8PH8HweNyQ5DFjogB+SbX29q6rG25dHsZqdwCLxQK9xeZ0OwHEV/9BSP3DkvuP6XPNUUK8DHQWHjpUXuMm/dNSkkOUIn7zN3tbr7G0xemiaQdN0y4z0DR9K10o+I5rhBBCN8LlstXnrfhsS4k0aOSMSWP7Rp//aCVZIO875dFH75+enhbI/bOFq2uytu/fuOtk6x/9CIsYNH1En5Qw+V9wgE7aWXNs2Qd7c5uaTQCgCIgfNfXZRVOi4WZv9fo95eXl33777RtvvPHWW29hUL6MMCjI399fCgBAEsDnCwjC5XC4adptt1pMehMAgBdA33zqSHkbTxQ6KCPR1+PxaDQamta0nMksb6Z4IUNHJft5PB6tVkvTNIBAGd7LR85qyz2+p9En1o8Qcf/fuymQSfikWFeZW9xm8TAeADC1tXW012tcv/rmKBUJOD7GiuyCFoOL9gCApaOzs7VG/dvv+SDZbElETIClpb6urUVjAwDwOGhLa1WL1c73DyD15uaa0nqNAwAYD+iqK1r1agt9WVT22OuPHys0kaFDhgwdECOjHfbf+XGHp/RV+op4+vrCzGq12+O+RS4UbFdGCCF0Axiz03R658YqR9Lzg/vExquumh3dZ4IukHv+9Q6Ml3Fq6qs7TS6HB4AtFiv9I0LkHAACzF01LXa2hMUhPbq2bhcL5OGJQaSluaSytKWmhmerKC7kycNjuPrGLpAoKLfbqbW6hMrQhAAxuAxNdV16q8UNwBLwpP7RkT6c6zb50Da9Qd3W0G2/8H9JQLC/T4CMB8AwtE1TX91h8bg8AEKlwlcZLNA0FuSUVLvM1ZWVZ/0CQCYReazNeiI8KVAEbMpl6mzt7tbqnQAkCwQBMZE+Ii6LAru5u1urthEBwdzu6i4r4xIFBPn7BMp4jMtm0zRWd9g8jBdAogz0VwXJBH/vSausrDSbzWvXrv3yyy9v8+vXom7XN7d16MxuB93ZUF3NqKL8hHzOxVZaFoeUh4RJqfy26rpKHodVXdfcoXPThtZOfXDZkcMFWtGAGCXbVFmpoT01nZYR8fpjRwu6WMlRvhxLZWW5h6npNGf0T5JLWILgqF7hDamsvHNRqaEUm3/FXngYxqJp6jbbXWZ9Z1sTz9JpsLndhtYmfYTQ1q7WGm0Wq767ua4WNDav19jZ0NghUoSFRCaH9q7Zf2Dl/qBHBvpzWGxteaVd4iZ54Z06G+Mxttd2GxIVPD5fERqS1GtQeeHm5XsDHxkYKuax9VW1Vo6RlKcYtHbwGjvb9HpOh1PdrTFbHU5Dt0aXnDYouuBgYcEprpef6AMeq9vSWmjpr+jfe1Dfc7tOFGVuZ0mmJMoZGjpPZTOD0xN4vqJL0dFr9TJ86NI111WWiJ10U2u3iQd2XUtdna2ty2izWMyGzjatP2Op7zK7aFqj1pP+ARFhCayjp77bHBAyLY7P5ptaOvVWi43QdTR2RYT78IG6+VpxMSsjhBC6AQ6Hp7W5lvGEpPfuFeD36zeOKdPTlecbmxi7w1i27eW7vsntbrCAR9lvwB0Ll707PYZP0paT655aUuqfoYyUuH766IdGkWXi56fflp19fenqLceLGJJ6qnyHbNy7G0K2P/E1OWq2j17Xtru4vffdHx97ZoCtev+Hjy3fd+6sDhhxdMjwx9Z/d18cn3PNX9AZ2lh5ZPe3by1a38ghATxO28CnX1384CtTYkivxdRdsOX5e5blW9rNLmf89DsW3PVeesvnU17fbnM6v3v24KqhdzwxaniK5vQr+3jLS98c7pUSTblr31rxw86DbeDlSN3Rj/+4csHIaB+huzL3x683rChmvfBe/Ib53xSaGlKf/tfiBUsmRzu6qgq/f3Lef8qtDsZLD5r50qJnXpva+285Vx6P5/zQFg8//PDJkydvZBWbzWY0Gm+h65GmaYb5Ax3JK/av2XnoeJEWAGDXh5W7hi3+5O4+8QGX+h3wSSoxeagkN3PT6txNivBwf3lgsKu68PvN0db2MzZbS9WewoI9GwGAL4NhT4fpT1VazEWNPxcW/7wZALhiGLY4JRnkEgDwCwjtPW46GdMngXf1LxIOD13+01c/V2qtuq6dVafPT+S0fr80Rtyvee+xipp2PbTX153ZCwA8fvuuj881z3tw5tg7+w4aTbq6X/r+i5e3ewAg9c57pof2sRRvXpfXQREdG17jCj7mjkhI8BH6x/UbfY+z48mvV76+2wEAiVNnTO0/mlu56ePjnQJB57a1gfw+7trKsryqThDqN67vlfzymH89zH7/h/0rD+wGAEGANPHOd/7pK+Wxfe+YYTFu3blh5VtHAVg8GLb4o7uDEwN/Cf8ExfIZOjZ9b8PPR9Z8fWSNyNc3JC4uQVCT8+1bxy4sYnVt+17iCT/zxd46D+PM+lmslN0xa9zcl7ief3y/YUnO5R0x9Js/5yo/vzcZBDdfVia8Xi9+BCCE0M2JIG6au7S+tvvQO4kP/hj46IYPHx07Pk58jeWs2sbcLYvv2dt3+dNTU5ICraU/rdmw/lhhzOPblof8OOTp9QXVTVTUgFkLHn1kcFzJfwYv0fxj09I5/mcPfv7VvobAQY89N9/81cS393R1GoAz+s5nHl74VEY8m+TxO3YsnLUn5MXpE0ZmxHgaT/208ZPlmxQvbV0+N40+/PVLn2ZZ+oz91xdP9btsR7S5e1duW/uTecAnb8wJBlb+Z498VM4aOv/p56bGaY5uf/WFiul7H0iXBLVs+PS745muvi+9d++Qlu/un/u5+PF198/w9Rxc9f37G/KlYTOWl745vOX0e4/vMqX1Gj3/vgF8U2fRpkUL1kj/8a/XU6h9W9d/tjXLzpOET3h+1ftTO7568Ytyasj8Zxb29as9+q9ljqc+mRkp4pqO5ahV/oqRQ/6erFxSUjJu3DgA0Ol0bvcN/dAtk8m4XO4t9Kfh9Xq1Wu27776bnp5+I8u7bBany+W+kK4J4AgkfDbrsjZMr9dL2402F+NhgKQokiS9btoDHB7P43Z7PJ6Lf4YECRyBiHQ6XbT7l4kEcIQSHotFkQBtlWdq8rPdwxaPDSKBdcVrqRmvl7YbrS7Ge1nMJwAonpDNOF007bk6/rN5fB6XzwaP22U32y/0umDx+DwW20vbrY7zZ5ctEPM4bDYJAIyHdjlMNheAFwBYXB6PzQGPw3J+XYrLZ3tpmnbTDBAEyeaLhRySdlnsTjftAQCCJFg8sYhLEQQBtMvucNhd9MUaE/PZ7Ctafb0AtMNkc9IeDwBBkhSLBS6X5/ymAQBIiqI4PJbbavcAeIFi83g8Hov0XHYslyVvrkDCZwHx977IOysra+vWrSUlJde5/WK7MkIIoRvj8bh/+RS8Bm2zOvfIJycHP/JqWlxCkIrnEY0Za+5qLl+/am3etinPzal99we/oEmT5981LpF2O6MSHc1As7hikUDA5XL54pDkqOjnNij83v3nGlv/cRmTRqeplCJLuzlv67ITSWO/6NO7b7hK6JUOGOG5qyzzlY92505QRV9jTyQJ6fP8IsZ5hUFE69q7P91Rm1ciTR/gdnXVtZ7LX265891hQdFBQknA/EVB4+fRwmB/ntAm5pIkX6xQ+PZOvGOqpbu9a1sjeD1QvHPTCTlvUt8hw6NVMspHzH7wlQdynt+cm5M0ecDEybNbNFmW+GeX3JkcHOQTHc2v1bncLo/HY2rsPHXgxR+TVz2cHjs+I4z6O35bXrVq1cqVKy0WS1fXHxuFq8f3Y+YIRBzB73wvZQtk0hvtJcPh8K/xZbGh2qDvZPpOVFGXPYd3MTsSBEcgu8aOcPnX2R7F5osUVy3AEXN/XRJJsXhCBe+q4T1+te6VeVzM/q3fZ1gcvohzvZ0iANg8ifR3n47kX3VoJP+6+3PTwayMEELoBgiErPikweTWMrXWbHP8+qH58xxmXVdtRaMl0M9PyONRAJQoMDQ0NixId+p0Bf1Qv2BfmdCsCgoMDfbht3TxWBKiXqd12i8Nn8Hic3yjB/ftpRLyzMEqXz+lCMDtsHZXFjTo/aRysUjIAgC+jyqkd0KMaX1ZTacx0HmNACAVkHWG0h2fL9eEJs0ZNXhffacaABwGTWdTfQs5XCWnOCwAkSosVhUGAI4u6y8rC+UBgaFRKhE0er1eTW1xo5pKFMjkMg4AsPiyoGGDY5itDY0md5pfcLivPJ8IiEsMEgKHzxdQmg6LzuAM6JeUsXhh4ztbP3qj1E/Sf+rUscOn95b8987PO++8U19fX1xcXFhYiFfr/4SpfN/B07WVBnZATMqIJBkXa6SnwKyMEELoBnCl3JChE1Koc5W5FQ0D2uJ9g65sGLI25DZauWYbQVIur/dsQ5PL6gs+AgAulyMUSoFwU9TFwWEvYQDUZiv9e90ECJICgPKWdovRBCESADabEolkAB6KJK71k62m8mxm5o97ap2JyTEjHxjX2XUkJ8cOQBAESTNMh07PMDc4bhVFUgRR061RqzUAPgAkCRKplKR4JEn+xtaNDqfN5pErYgZPe5hjhaNNdSe27V/vYNjhATN6+/+3zo9MJvPx8REIBHip/q+QbL5QLPEVh0ZExkYpsD4wKyOEELq9CDj8+OELxhz9Ij//4DZfOXtCn4Twi4/46aqzSgpzGlkJqsj4yNj4BOnS7G1FwwKFvlESlkGn0xi1/glDk5R8LvUnNszmi3wT0hN9Pyg5VFgWFRLWz4dvMRvbOlqUSUPi/OWipt9cy9l65vTx/GOdCe9//8oEAbjaLOcjOVeuUAQGqhrzD57tiO0XIhJywKXTm2xdevo3R3YmCEIe2z82IKusuPDMqcEpk4OlLpetubJFEB7eKyjIh2r7zc27TXabqZM76oHXR1HV26j3PsirOZXVMLG3/3/rBYCLFi0CgM2bN/v6+hoMhszMzD+0enp6emBg4C10OTIMc+jQoZtql0TRGROj8UaBWRkhhNDtii0Q935o6aNNi1fs/ma9wdA1+9FZcRdmNexfmsOekDp8+IQ+XL3PHc+N+emD9ct/TnEzjl7i2rwzZQbD2Afn9LHYj3cZLQ6TTqvtbO2Sqpvqu62MV9/eqrV6GDaHdOk760tLhQ5ob9c7XFZNa3d3ty7YTyGUc/vOWjT+p093bz3Siy3g9fFvO3fueHXzhOff7M9i1XfrDVaTzajr7NC7AmTsC88G2Wg3TXeDgSjMLg0OAHNdu9Vq8mha2+1JPrEJ00L3rflid7+FA41BYrDVN2lcjc64B2JFYj5hUzfUVylkgrqGdr3F5dI1N2v7j5+ecVTz46kTW32CwybEWTTtBw/V9J43fnCwijx3tstocdh1LQ1ak9jZ0Kkz201snbapqM7VsKes37h+wGHFJqUmOm0cym0B+O++LHvOnDlz5swpLy+fM2cOADQ0NNhsN/Q+w3/+85/Tpk27ha5GmqZjY2PxrxL9DXAcDIQQuonv0cTNeJfu/PmtD5etWvZzy6UpU947+vycoRdfuef0uOrW3j3po2PtNUaAgGHD5z298oPRoXDijcTH19W0NUP4oIlDhg8WH3r1myIAL6Tc9/mLqeYTp1d9u6nuig2lzVuy8PnXH0wFAAagaetTd32+o+B0N4AiKWr887tXzw+DE19PenHl4eIKCIgbPveFlR/eG3rpOfqKE98u/+TJ/+wDAICUGTOExcXNDQ2C0fc+8PrHj/U6+Ebi4xsMFjUABI+ddP9TX74+0t9atfaeSR+dUNf/8pJhPsXq99L+dQv6Mw3LX/nq6w27GgF4Suj98p619w4Ja9z/j/e++nzXSZBIlf1e/mZ81j++ONPQroXQfqMGjx3ve+ilL4sAPAAw8rlXnnrw31Nj/uYzNWbMmOPHjzMM4/F4rr/kzp07b8WsvHDhwhscBwOh33Qj42BgVkYIIczKfzCm2AxGs9ls/yV+8eUqqZDHu/BTpdfrdVvUXUa7h/YCUFyuUOqr4FHgMLRqLbTHAywun8vjknaD2QUAwBYppBzG6bSYrVf2IOYIpWKJXMyF86NTWbVqo9XlYgBINosv9fcVssBh6tRbHC43UGyuUOKrEFGXsrLLYTIbdebzbyJhCwSky0XTNMETimUKMdtuaNNazg/dRfH4IolSzqMYt0XdZXQw9C9VTgBwpP6+Yi64zXqz2Wqjz48aJvX3FXFZtF1nNJlsTiAIkitT8h16k5P2MEBxeDw+n7TrzRcGxuJJpBKxXMD+m89UR0eH0+lcvnz5+++/j1kZoT+XlbEPBkIIoT+GJZApBTLl9RI+R+wX8quRMgTyYMHlL6OWX1GGCGRK32uXCcAWKgOFV2+VL1Xxpb+9CocnUfIk19pNkSJUdPXzVyRX7B96rYGjWVJfvvSqHaSECj/hZaVIhVfsi1yq/N+eqYCAAABYuHBhRkZGU1PTo48+ilcvQn/4jodVgBBCCPVg4eHh4eHhOp3O6XQCwFdffVVZWYnVghBmZYQQQghdoFAonnzySQAgSbKqqqq4uPj48eNYLQhhVkYIIYTQL5544gkA2LVrl0AgsNlsmJgRwqyMEEIIoStMmzZt2rRpTU1NY8eO9Xg8t+NLTDx2s9HiAi5PJBFy/ujKTqvO5CZ4HJH4t57Y9NAuu0VrBpmfiEuxyP/tcdJuh81qsIPMX8yB86IdFQAADL9JREFUK9+07gVwmroNDE/KE/B5GAmvgcQqQAghhG5PoaGhFRUV1dXVY8aMue0OXpe78/PXPv1qy5GmP7Fy1aHP/r3yu70nWn5zrl5du3/lw4+tzDVf/ub0/xF1c+H2lYtfXHkWTK6rZrkASra/9MzKrfkl3fjXgFkZIYQQQlciCIKiKIqirvmq8B6JdkDZ+jc+WLf1TJ3mT4/J6PVefzxHL8PcBMM9Ghtzjx3auCPv2vv6e8eBsA8GQgghhG4rJBuCBk2fbCdtmYY/WURY+t0Lk1hKif9vzhXLQwZPfy0UooQK/v/2UPk+QWFRCVH5Hd3XCIHRoxe/6FJGKBV4WWBWRgghhBACAJICWWRqUuPZo/n2P1mENCA+9dpzuTxxUNSgoJvgUDkiuY9/kEoEv5mVKQB5aJ9+eEVgVkYIIYQQAruupaOuuKwTAADMlVUdBnvo+TkexmNtKcir0zqtNPCUoUGRsQkqHoAXwN5RVlTfptM5AXhSQXBCRqySJHWNZyqMbJUiMiqQbTS2nM2rMXkYL4BPcGxkZIyUrW+vyauGlIwoX66Q49S31DbV1LdYAQgSJFFpKaH+Mj4bbMbOlsZzrZCSLmzMa9HbLaKw8PCI5OAr34djaW9ubK/RsyKSQ6Eir07vccijYiNUAaSuuby83sqCwJQhMb4KIcelb2lrqiltudhF2i8uOSoo/MrHFg31p2qauzvNADwpPzhuVCzUHC9xqBIDQsSUtrG1Xk/GJAoa8+oN57cSEqMSgdvmUldllnS43Jde1SkQSEKSR8QoASjMygghhBBCPYDD2NFwNutE5qFio4wDYOuu6dDaVKEA4KGdJk3dubO5R/Nb7UabhZH2iuznlY9LUQldusaC4pyswlp1t8liZvjmiKkJi9M9jTk/r9naHTxhwMwgCbe+8Mj+/dV2gvF6TP4pU2nSR+k+fnD78iOyFwf6SAiPrqrsVFbe6coWJ+UFWk9H6t3jh/cNlrqazh3av39rAczlJXZk1jY2lhLJfUdOCvFPkV0aW8NtVFfmHt59fG8jf+S8cf5lR87Wt5Vx0wb2Sx6sMNSePlHYoq9QzpA9MqZ/KFtTcfrEkaOHO1hythcsHXXS0fNnjfdJuKISOov2Zp5pqjLLREqVJJXsZW/Z9c1m99jH+qfKvGf2HstqYk2+L6njSElDWxl34LiJE1TKXlxjc+PhTetPOoRsL2nr6ja6HFREat+xgSNiZJiVEUIIIYR6AsbVXrDn6LGzlX6PvP7mUF+A2q3PrfypxAAAjM3YVn5g2Sa49/m7Zkt87CUnftqXdXDTnrDYhxJbjv3wnbrv4inT+qVCafHxg58dzD+tU6q/3JZd2yoOBnB0dndXH6jtvWDJlDg531lcpBZbGkry8lceKAL2MABwd5Xs3Zqj81PNeeuFfiLa1XHs41fWbWNoSAs1VGZtPHbGTlAb9yW9/dzjxPGtm85UV1SUDE8Z7nNxt83V+acLcvIrTE7u0fWSe99+50XjtmU/7Du69lz7sKmzF7w2u3H9Ax9mn23tHyI0NVR3q4khD74+ZxBfbSna+Nr3lTV1iXXh/iQAgBe8Lqve4mCCe08aPyl1SJLUZOrO3/DEj7k6Sy/oqDxU2Hoir8jJFR3ISzu/lVUlzdX1lf0UwZ0lO3+s7P3Sqrn9ZMKaDZsyW+qFg594bGjgbXPtYFZGCCGEUE9nKK4o1euYPlNnDPQDIACih0yIL7JUAYChQ9d5aF1lBbz+xAYSCC/j8dD84N7K1kYvfWCXc+ycyMAIHwCIT54W880UL5vDYv55p/PTLe3nS7Z3mcozl6wOWnpvWlTv3lLCGxkQHLHY1P7pERIAanNyKsX2mKQBaXIAoKiAkffMLnl/W1N5XMSI0dMftBg2lAYtfm1cFEdpUfoIRPqrhqSQ9xk7h+TzWTuP6Xo9/vyEYA6f76vi8fsMHjRo1sxB/ianPSCSaOEBgCR52N0JQxjCYWgqWLHoi2O02hzk+0tBToDirc9/7h2/aFjUwHgJAIjF8n4LPri789VNXojoPzk1VWV3HtP1evyF8cEcAd9XxePrAMBhd+ksHURkPz+SwwZpWGQoz6Lv1GkBMCsjhBBCCPUQxqaapg6zSRjr53fh3SAEi0WR5IU2V5YYouc+9+jgMDH3fPcHiivgsEB9ptlB+5Dk+eUoiqT452dz2SyKJACAFxiSNv6Zp5mlK5Z/cI5NJE26Y9zwqVEsNodFAhAAek2nxWqjCIqiCAAgSJIVEODHZqkNZpPNruSwKIJkcbksEkiSJAmNzSrR6gEutSsTFIvNZrMpiiRZHC6LBIIkSYKgWCwWm80iCRfpJYlGjc5uc1DO7ry8rH07y73J4z/9V+TOZVu7Lh2+Ta8/vvRz6OpKAoogL+wLQVAcHpsiCQ+QFJvFZrOu3Eq3xaLXO2QRqpCk0D3l1d1DAni+ZqORDUZfmfx2ungwKyOEEEKoh+OxOSSLsbntNhuA9FezaYLQEaKwiDAfkejiNMaqtomlZLfB5HA5AES/WS7F5cnCogZOW8jvbWo4tqnoRO4pUbAoXnZxPl8oYrPLu3XtrR0QHQBAEMBms0lSxOPyuNxf7wfD0LTnjx6ck6a9TGfRqcLynJaAgTMH9IuKjmxSCLjaS0uw+dKoEQ/1MWwtKD1+xlesGJEYIfzdYt0ehqa9QokybNiw8KOHvvvPGZ7IzRPGpIyYkOBzO108+C4ShBBCCPVw3IBglYIi6sty959tA7gijvIlgoCgPqyizCOlTRqLCwDMrZ0NJVnNbn50Qi9nTcnZurp2MwCA2+zQVZ4sM1odFwtw6a3GjgZbRMqwkSMmzRwbyXCszbXqX0ai44UkxQSziabyouzKTgDGw5iryhrYwYqw4HBfzl94gHZ1XX1dY6tDEZE8IEbudViNtNv9S1bmCQJTR42YPLevvKMl72j2qTr1DQdxl8Pe3hjUu39cTFyviOQ+/fsm9+/lw7udLh5sV0YIIYRQT6eMiE+Lba09c273jj2KrlAAylRe22XsZtU3NLVGJKTcMfbU6p8PHnO21qskXNrioISegAAiOG3MyLK9lQV5tNoYLgOvmyFoi4zgV9Z2ai3d7uaWysIqk/FUcU19KFAkmAXBQTIxz9JSU9akp2mipLA5Mi6+/2Cjrqg2d+deaZ8gxmNqbPPGDoxP9RNYGsrLW3UOOxSeavb3aaqpbmjXq+1dLVWVbWFxgTwgCAAwdTU0NdZ0ai0WTvGRcmkkXV7drDZ1m2sbyvJKHGxDYY3W7bFUlTdynTTlIlpK8/YfNIs93m6Lx2XR1Raf4UqJxladww5Fp7UzBvZJyqr5qTBrj9tDJwV6nGCq7LA6mfriAkrANHRqLTZecX5TgI+lqLpZbeo2tbbUltb6awtOdAgfj/ETcPkATk1lSY7aJzwhOZB/m1w7mJURQggh1OOpYkeOYfN41OrDxTt2FJ+fRsnYXr2mqrg5/p7xd9/XVbPudO6RUgAI6p08tO8TKb4APhlP3O39clt2UeaOIgC+vyxu5OKH3Kf2d7r4PpTbpGtpahEIDEU79hQBAwAx46YMjI63Vf1cYRFHRbqrTrdoY4emTxnL5XAPHMnb0ZRPUBAy4YG70lPCHA2HOloaXcLgQOe5400piR0FzVpaxGEzppqSxqFxATwgAAAMbfUdnd3A9xFZz+05GzRBl9Ni4ShYjKa7PDPfFdWd282NiGI6qkwD+wckJDk68qqO7qj9v/bu5iWKOI7j+Oe3uQ+KC25qSeWoLewuusQmwYAHIegS5aFjFHTcf8H/wmt/QSAseAoPSbgokfRwmLEJH8CDD6AblezmQO66Xeo2eFDM1Xm/zgPD78Pw5XP48Z1IpH90dGjwsFLxPs1L0t+33M/k+0Zu5w721teWZtb+BWPpu+csSVJHT8pfXtgojKy/36xFr7Yd1X5srGx397al9r7Ovl6OGElq+EoO3LjXOfQ02xGO+wmGv4ADQOvOaMOUBgLU6/VsNlssFm3bJo2z02xUv1W23i5WJx4X2hMxIzX3v3ye+zDzJvrk5bO8FL/gByyXy6VSyXGcY8Yv95UBAAAQwN9ZXZ2bnv64u3nY/C1J+rW787NZa380fkeKhSME7mAAAAAgQLzXsvJ3x9+9mpqcjcgYKWnlh+0HLwrXo6EJga4MAACAAFcSqWtpe+J5bLiqxpEkJXqsmwODt7pi4QmBrgwAAIDgohhP9qXHHqbDHAFfAQAAuIgcx/F9nxxwYp7n0ZUBAMAllMvlXNd1XZcocBqZTOb4B9hGBACti51xAHC+45edcQAAAEAwujIAAABAVwYAAADoygAAAABdGQAAAKArAwAAAP8X+5UBoKUZYwgBAM7LH+pB0DIhRg2IAAAAAElFTkSuQmCC)
705
expertswillingtochangethedecisionintheprocess
ofdevelopmentofthesituationisinproportiontothe
number of those experts who have already made a
choice . In this case, the preference of choice is
defined asА
(А
+А
). Similarly, the number of
expertswillingtochangetheselectiontowill
be proportionalХ
in accordance with the formula
А
/(А
+А
). This leads to a system of equations for
Х
AAAXAAAXXdtdX
(
(20)
or considering thatХ
= N –Х
, where N – total
numberofexperts
dX dt X NA A A X
(21)
Thus, various choices affect the efficiency of the
DMSsystemwhichisafunctionoftheinstantaneous
state of the vessel due to its dependence on the
variables characterizing the emergency. These
considerations can be generalized to the case of an
arbitrary number of elections K, taking into account
the real situation, when the preference of the i ‐th
option depends on the number of the expert group,
whichmustmakeachoice:
1
1 ( ) , 1, ..., .
k
iiijijij
ij
dX dt X X N A A i K
(22)
Here the group of experts is heterogeneous and
falls into several subgroups, each of which has its
ownideaoftherelativepreferenceofthischoice.
Riskassessmentofdecisionsmadeonthebasisof
the developed strategy is carried out using various
interpretations[2],[6]‐[8].Thetheory,methodsand
technologiesfordevelopingvariousclassesoftasksin
ariskassessmentsystemcovervariousproblemareas
[4]‐[6]. The complexity and interrelation of these
areas bring to the fore the problem of assessing the
quality of models, analyzing and streamlining the
choice of the most preferable models for solving
applied
problems. The urgency of the problem is
exacerbated if the dynamics of the vessel are
described by a multi‐model computing complex [2]
which may include heterogeneous and combined
modelseachofwhichisevaluatedbyitsownsystem
ofindicators.
5 CRITERIONBASISOFEMERGENCYCONTROL
Aconceptualmodelof
aship’sbehaviorinemergency
situations formalizes the processes of building
applied tasks and criterial functions for interpreting
interaction processes in the implementation interval.
Figure 4 presents the sequence of operations that
determinesthecriterialbasisforassessingthesafety
of a vessel in the form of the main stages
of
determining the parameters of the environment, the
dynamics of interaction, as well as the stage of
evolutioninpredictingthebehaviorofthevessel.
CONCEPTUAL MODEL OF FUNCTIONING OF THE EMERGENCY SITUATION
CONTROL SYSTEM
Identification
Restoration of the spectra of external
disturbances (wave and wind parameters)
Approximation
Assessment of vessel dynamic characteristics
(interaction parameters)
Prediction
Prediction of a ship’s behavior in an
emergency (evolutionary stage)
Figure4. Criteria basis for assessing the dynamics of the
vesselatthestagesofoperationofthebehaviorspace
Improvement of the theoretical, methodological
and technical support of operational control of
emergencysituationsisassociatedwiththeuseoftwo
systems of criteria‐based assessments (Fig. 5). The
first (local) criteria system is related to ensuring the
safetyconditionandcanbeimplementedonthebasis
of the developed standards
in the form of an
embedded procedure of inference rules. The second
(global) system includes national and international
requirements, which are ensured regardless of the
particulardynamicsofthevessel.
The local system is developed in the process of
creating a dynamic knowledge base and takes into
accountthecharacteristic
featuresofthevesselunder
study.Improvementofthelocalsystemiscarriedout
in the direction of creating a fuzzy criteria system
based on the methods of formalizing information
with regard to its incompleteness and uncertainty
within the framework of the concept of “soft
calculations”[17].
Thetransitionfroma
localsystemtoaglobalone
is carried out through a description (a conceptual
modelofthesystem),whichfixes informationabout
the vessel being modeled and the process of
interaction in terms of typical competing
mathematical models and knowledge structures.
When choosing a simulation scheme for an
emergency,the
conceptofafunctioningenvironment
is introduced, which makes it possible to use
information of an applied nature on the purpose of
modeling, the laws ofsystem evolution,the existing
mathematical apparatus for studying methods and
algorithms for making decisions on ship
management. Thus, the object of the considered
appliedtheory
ofrationingofvesselcharacteristicsis
themodelingprocess.
Figure5. Criterion basis for the rationing of extreme
situations
The practical implementation of the formulated
approach is associated with the creation of a fuzzy