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NW9QMMkdKQDX\/JPYKlCAoEALo04hMFDkBHWSJEKtm+6pfzMqvNjzE2Ok9TXKwSL0qByJgiKuhLL6gAClRd69EAAEY+YK5WCMTQUvmVgAyeATgHCSrPACJxDyQ7lzX142BJ+5rdg1yU7sFDIJiZh2jeZ4l7g\/Pkwt8WOzTSOBIfBJsvJ+Ebs58meiw5SsnOx2uLVAo174e\/AT8pkFiFCR+y2x3Y0hDv88ve2Kt\/TeyDBoGA7KknVngBQAnnS\/t1ze4ntXRn2peaRfFLRC8wm8N75oYU67akkNHpBozojSuQj+YMz\/fww8YDyUsYLNzPRxCgB5WQ5jsxuJoKqQ6u+Qs38GmS6w7JB6wTbtMLJOKrAos93hLNNzJmodNE8GPQrNzhtS6sigm3OA7OAuq+mHn5aJRfxa4UQF5v9pLRWCHaM8ATt\/MdS5mTom\/fNwou4DEOuhAZchW+GQpuzI5NObtq9HW3FBbjPtpDjy\/qEtjbKKrqEWUjGLsHOCrXeeAYRLMqd9kidYO\/DB1p7f7dunsqOFRAPgU9obW8ffSg1v2pLl+FKXkRCx7KS8WXuwxjkVkBULxn+e8IXo6p1YibXQISkh+4d2ttPhy7SQBUZEube\/l2NaP0ZqRz0axREfBGORyLmG9v+UyMdEwopiyfYNjxUCv\/dPKeuy\/h24dRlshIhm4YvaQRwgnIn4uCi+oVuDpEWZRA\/vi4Y+BjgIslyZAyu3w79maqMQ9PkHWxZ22X8Zv847dC5KT9ahJbJu79nb\/xiXNPa9aUXRIFbqo3pHuElvNcUs8kcOe\/GXe9S9PZvZsdanpjmMNAaAEbJr9qCur418b+vqIE8l0o0tPbO8ufhjkscF4wtj3Lv\/+lt8PDwEeenVk\/pPNRKisHnUhyoQxl\/Tv\/f\/Ragj3k\/2gFelJOQ+Hyiyt8\/6laBGiRN93\/K93ewnuWxF8GtV4VGuo0uJdA1PHup8MvlhjLZ9JTn6PgwT8d2w1+3GDO5RvEaHHfchYo5Kmu44i2O8ZZkuC1DsAokV8Da+v6f2a6vgL04fVlnVqoMfHjb\/ETS26OJIVOViTKOuO4ZxLUBrEgZ8GL9PFG\/GWQw0+EBNMl71U8s\/owxnTP8j\/1X2UkCmJMnDBILc\/9M2xVcvnNawx1wv3knJOJKAd+2duLVjFQ0X5Bo4HnGytd7dr5Fqiknnaf\/CIZZm2YN4NjwRRy\/0OD0\/+4IDASOd3xjQo9w5I+MCc8fm7YHeMjQAAeln1O6Lu9mhYsRKts1ymO05U+n79VWSjNUn5ZO60xKqe3f6t+SvHoNxttTCW3eCAk8TS6\/6h9yt7sPuKSl12tOvbDW46qf97AbWKpO7WoMtXFmZjyovGziaPtyKQ47mNY56zb86xsX5icYMNdp4Dilt6Y65SB0J8+Mj14eWPVfC+ux47MdMf3EuFvX9wWhgXyFi99To8Y5ysik3biRPOtmVRHKFoG0Gr31OabVELRp+OQiGp1vfJpL7T9Ht2aTVqa8V0Kssnvmg2jUjLAglQRQv31LwKdfIPGinlbIqEA2zr244IB2DdwM\/zvWSHT\/9pG7Wru\/rjH9Oh40l6BFNVAxWZSYEjaH7jXePg8My+1TkSsOy79l0RwuyAXRdgcBPdGdAoN3Za+qcFYNrsGkTOz5ecWwq+93DnOGoi0aqMFL\/HaoPCVTVdFS8n4MXHjiyqGzV0XmU1INv7U7J5onK0+aZeE9iNVEe2GWPzMn2vFNju2JImK+qcNYwAbX8OFbbMR7Vv2yXIPd76D4Ujr9uOXeGGj\/999YA9pmepUZsqNfOgVrhhdSIDWp1mhZrla+A\/e2Ci7kgswpHPTOO7Bw2\/Y5TMYU7NaiSWZXBY\/9LXCiv+qeffRdCP6obynONhArSJa68Wgub8FSydN2kjCzmLwMUbXLzhWwQIPcFNd2aY\/AuvFfeZrea7GR5JoN0gfKpTKTni34A1h72u7UscfrsASDcb0WQX41qOR9VXuArv0E1fdq9hxMoq3d8mQ0x\/KDfa12Cze148nWKg7vqd+EeMWXpFlJb1M\/IhOvge7ENwjGn8wJDc4tDMsqGu\/Q+F0+xUixP64cCptA8VBa1gYNkZucyhhXhyHffP49G0NQ5AdDXl5qk5nTUeDKqnpzaKleUcmH0roWLo9nda0qZbEArrMrLO1JLQIE2V5WLAVDmed4ex9rZEqcXBUXgTYVYqjiCBwKA6cU3t3Q9yH0ZT2ryQOeIXT6ewAjZq\/CWtJERnVRtk3KHlJyDVao72p86juhdHHlpUr0gQrSdViDIGpJCQiczpzOM\/L1tXxqVdYZu55bJayYZKR+RLfnDyJPMTQxnSTD\/AwAl09b4il6+Im+0oSD+mktCMHwao\/6wUuxefpmp9CJvOxrD12bNdtcGpo6RLGCkSmeJGaLdpLoFgCIy4umcubwmAA5jPsmsXr1gKfdNIiPtUEZL5Qf0FavT5CfjRh7SpQY4f7+enZsyINvmS5Bzqz7R+SPLakABDvlv6ntOEXsmyl5Ug1CrtzQKPhRImJXV3O55s0o\/C9CL78TrW+PCU0Elyilnk1p0by5SEFlv5mN84y28NPEo9+slA3d0gQdZKhsjniLiU2c3b8vRJ8slQhA2ODPDpuCBk0yE01E3UllLN5Ov7WiFTdtf\/f15xPFJQSqyWL8rSI6ig+IpuDgAMAdYREo3Fq1hC1hDY0HGnNiG+jK7ISOrVZ41fwJVYGWOBzZXwhBhBqTGrOkw2gYA0d3fl8jTxoU2yuO03HQHjRdQaqUCHwXDnZhELO0a7kARH3moaezcHTp1RgA8Mucz8KHD4Utz8uNHRaTfC\/t2dyzII6cIFIBYBuVWde8aS0HliGgWo1qJ4hr7CGCKgF5GM0ibir7ISyAjT43RbpU6\/BldkyQO3melzP9B5hRpX8BLd3S0VFq03MP4vkDW92tDFxmDlMpw\/d8\/EGZVP4St7a2IGKnICkqsLnnNLtuK9zfkjjFVljMAjvop6pQBGIrPTgZ9SbG\/bBUrmEKOtLWm22Joc3zJaAZVK9i6CEtfhTJyyiukIOxlqjI9fVvUNfPf7IhZLpevIYjS+mhWgua+Jb0Rb8iqb311GyxdYI1a+nm\/W4B4wtiPHiEAfCxXc42xXkSycetU3U9W3R0tvVqgdXMH6\/HWi7JeSDiyPZRcUxRLlwfR9nwotNBnDTMec4VmAzIhGOVzs+957KJFkNDPXSRySeLFipmjTt7zc29HJWhhlnknVvyDzF0DmQNDctyhpGgWPDOIK1miTteWE8TbWjMSu8fP9H+DdS8BO+XUFca\/dS8QvldNuQS45yUPQxMhpvqSUUYibytmig1D5xvyn0FNuf0f2iWFqK\/JvPUrw862XSpHy3Ce+7sykPUkmJK3mFg\/jCPrGLtMkl0Vo065CgKmrgy09u8YQMbQpZj80DwXXsvb\/oiS9w4I63EqnZUU9aBKhKIgaWIgOv6SGQfHIP7ul78FnUL8WjAQiIfdRxFlk88LjBzAVkUAWAow2xlwlVgyvrar1PoYzwzV2UdQd0b+CkgOF9e6kQVvlWkyvCfgXGrJKFRg3Tffuq1TXI4JFUEPpR7G2GXxZ4DihAzBKPo1Sl5PF8IyJHHM0DYh5f\/v5tDpQN\/sjRohbMtK1rlNQHU4n\/dziKuW+cXHrEHOa5ZRKTmFA6Q0ei5jRQhgay+gGRnxvR8IoxPxOLSg02urD3GwntvvcZYAuXQwDSB6aK3aHNfQ6lPcM2JI1mJqZH8U9G0Araq0uKJvfxJPu5QALxxClmIoBwcpTr59K\/hQ\/E+5snsHnjqprFoySV8fJGX1czZcY27lNVpQCh3r6UgRB3Lt+7iN5TEiILUIGz9CdWzs+F9WUpYE3xXWbBqjgF8JV+Puam4fXnDBsmDJ0FkMvTUzTblWzmiZP6l1y7OX0J6GN\/2goYlWVGZBHuqYYMfytIC1vaY3s7MLVlJGQGehDlgMsqeXtM2za7DFL6kYE7X3Ul0RKgY7eyR93YdRh8vcHP\/ebrHsue\/TlNJd766j\/0HLGsGsMn8vPqnjk4zOBQ8v5C\/uSB\/76kXsemrLuY6jiikpnrqU0IeZGGuLu5LqScGKYQ+2Sy94ASJhAh9XL971Hoj0ms0PyAdNIPPUIfYtfhSTYuk1nita7wrtLTUEPys215mmoFvKuK77ZKtE2FQlg4EyIMu1470YW+TYUkGnm5wEiTOBs9SqHmtE\/hmZeOc4fgEskh7asR9j3fhvbJkKO5CanHrsNLlA5AlLQ7hjelOmzpEsyAqisdZmNd0H1r343WqNLDmGOZ4qhSY9XP9HF3vhOzhSuqK+fCjQoai0sKcGKzc9g5NUksQYncFE2XJsz+SEC0rMTPy1FR1iks9wmxqODcpfjdA+T2W8pPE1h9\/vQqsSHjC\/U9QQm\/YxdEvFotWUjflnXQmjHpPLgHlfOmHTvca\/xPxMtXMRYgIIUUBQtA4vbCjPXUk8OAxItBwe+O9nHFwDmryrZ5NUxw4RQO0p5BFf7DgttBYDeAo+fqEJRptp2YlTT8YTdjBQ5SlME5mOrwQvPUrXMY2OEKkTnoRq33yugynzrPadCYeNBDYN7ICL+9JTEWfGhEw209Xturd73A47rIzxZGNsvwszX83qKQkE9Ivq7ZllPI9SOepq5HoIPT\/80hSQ\/Oxn8YdI4SzV3DKql62mEavQ0FqHaNlRXfyPGWSZF+vPHl\/2vVQmkIkFMxBC\/FgFUf3iD7222uZwcAZjMWaNyw1dGOdlqAHXHaC1KfD8VT57ZY60p19igXrZ1LxgsA9xOXSPQ4qv+dI2Q9H3C7uPItDhGAgKqw3BHoIdIR8KVzFbFEJb7H1fSadMtMG9FS3kLMsr7f2Nr9o\/nLVZETLN5nhoFR\/5+lOrU+7lPIvYDTInab7xeFlYFHe3I23of8kn7oQQiiCE+RRbtH4JY\/A1D0F\/EnX++BxIBaqT1teopYI2oORX5f8Itro9IyJCqDMIaa7UgX5bvUkIFM3nwoBToHyMrH8VDDw\/FfuFgCf21jGrqpgC78+uz63y0vWJ+rou+vH5PtleUPoy9aGZTG3pE6O+eukcSzTxjXnsm\/zDltZiUbyD4stjLG0xJ7IxPG4pC\/ChQCoTsvTbjtpNKs6Gfwh2vIx2F6rli7QA7eBUR41lMMUQURoOZNykIZn2Of50kbsZUD84OsL4wIDDQhaXGhy1jOsarcalg4IVgQ7iq08vx6uo8pzJDzyca1+OeKoxJcPwYEdQW\/tieug0qwbzh1v3h7kAVOUScS\/kgQhKkYEDSRW96VrwJPsacpU64RxkFlffqcVOIMO5G2E4WB9fdHUcnxoe1\/PqnkWokjQciN9IptBHk29YOpW\/y3OqyL4BQAHtw5B6scP\/MyGuL59eK57ecAMf1KUNoUHeqPHFQD0\/jRhw1dyc6xvhhqe2YarN8J0XZ+SRN050K92cJDFmaYIAIFILYHC87kGAoSQOjHVp6sqmGgz0p0yk\/eEqgOYJ93UTxpV\/1gUKdkj4jbGiGRmDU8lBblZd3yXLjiB9Qjs9FQFNMVSzEftz6OrEODezBP8NEPquiLb0rY38xFGFgytsR7WlZw2zMh9HI78Sgn3jUlZG2tXhMdcXk4bOmyVNBeKpU6wbJc4SdikP6JpiPr\/4fE4qzy4RnhZDF9cuC8QduGBcJE5W\/r4Nns70b6kTmbOBJGiIMNsNUMX0\/HSZq8AAuGRKdju8BIEHV9EfxtMBwF3nnj\/ewQwzSt6raSWR9rcMSU2v5cmCxKrqtrrQXJn6GeaUNFYDfKxZ+Krcv7VRhAC3vDb1i\/TnJzn8SU1j28ycRJlsGIa0iXtzcX5IH\/gS\/QfpbTiZL7fVc1kUHMvOtVwu0pAQ88ymuCsqpBx1LyQ1X0IJxiclBstrodOR\/NV\/OcxWxLI\/8rmGdBOzEq1iYkFrlgSwUdMjwg1U4bxnJGDZKw0eHBvmwyxOZPbhimX4yk4qJaMb771uXtCvIMoXhbkWeQ7GK9B+CXde4079CpeqIfQnx166xmjGJP\/t5FVVbQ9klrA\/B1DviCa6Md+1zB6DFrXGOw4qAuWN7hSHJAyV9veXLxjAeN7JVugYFXM5wQdQScx5y3lMFqiLjiUWTubF4QPjRFRdO2x8TML\/2ppeaRfhYskcQxyiiH\/2bHb6VrcgP27sf426Za5RE2xDhK9mA2gxpjqOHEw7X+gEc9o7wV2\/Uuq7PGZq\/cSWFQg+F7IQB41YpT2DXHq\/r+EqWzO9SdDXraH04EsYLwgT6CS5oWaAbZ9d0cfnhymRqztBpa35YuC2NDkTrI+GRpak5lplI2CpXuNwH+styLSkJ+1IPezT6UgfPYKNC6+bZtDfL25mQ0iOHWVVqJcBLbqcbjvLR5bFv2V6EIDHjIucOnmMLZvlCITIFMIaE\/tFd0+YVGriH1elpKkBX8ZvxnExe9PVsIedV04aR7YAXjct4i8CfFn0gdMsL8burTImac26RmeQhxSVPKf1Xq8iMWtWB\/v5po64s7f9eRovSKcEOP3u25bPUQi8OhrO8npu46nTGdWCb9nwAUOE5+oCZtryLDrNCWHlUoY7BE5+SNBVpMCRQSVfSVLfYlcpB4j+QEIPSQ1asB\/9Nzg4Nku323ZPoNmUhvX3+iF5e2xDjvk7z9JLIB+D7EDKsKM2f3s62aUyhwKjTS2hVruXVV6v7W1XRedkqpfvSDTGY+nzNInpBZMgsAYfEMNTVUr8WVpdmculS9tgSfR1ZHbnBJrKBF+ImdLBIVvLUMo3cGRT8xLVgZ0KG+3oeFwaep\/McTcGaz06c5yikV+pvZO6w30MxTSST6e0ynVPnXvmNbMIaIHo6UX7uP1dQc85cH6JyeV3LSk+VFc5g7CH4Bpmmyxde\/cIaVv4\/a1+4huVbDWBflR+rShObgjC4xxArfMkScM51PhlvoCYvET2K98DHQCpbfdkXViLSluEQYYzDVAPhQ8MYpqSdLd0Sio+aPa\/pVT8RjhALW7HOox7ejVmiEdFYtkXVKFMLjRE5kx1OlbmHik+C3XRwdWia7LPSirJyCt\/rlrc8KcQ8nkdS10UQSbUccMaH+dUp86FTfLqYzptmkM+I0P5+68LRXErQqrG7VoLy6loY\/EsIK9E\/jov2xcF0bqoQzIC\/Rz7hWM9vKgSFHVekYAPgbumI4yk2EmkKqPpelpUswgtss2PSqLGUkUuX6ifrvGCul8iwh4+CF\/cKZ6OKkUNyTDwkVSp\/WbFzWJ54dFmOnnIdXymTDZ3QEP7TRejfhUlQCuN6wsitns6eppw+0Lg1N3YXTBMA8FhQUB8umtq89YIGgVtkWf+kIXUBaS80BaJt5OX6SoNpQO0kx7p3F7V0ENGsei\/G\/XnmoL0D7j6MXEG9DAZcfL+Ddd83GSVjrxY17hiFqGDl0LnmtKPtLGFKk3H9SRelgJYzxvsZ7VchomZ3ipC3OTTvH9YWaEafA4NPRo1ftF5bVKqrGOfCVsFILvY7t1x+mrZhSmYgwP8AKvN9BZbKQVXyzMS4DFhAONLc1JR7OIHpJ6g\/OGBKyFQv4CFVTGfZthuHOyjT9tXKk1LyQpDKSm3oeU2GWhgmGoJ2cQHpVleqDZRCVW0i9dmpbI\/Z+8Bl71HRpHy6zmf1s4ZfsQ2bkqPUh8ItPTcQx\/yeLO1ONw1HT8LmD\/+lnof8qyYk7bMzrHTRfwXisCrzrCaPJeqOtEnVAchc+PHjf6OM045DVNmEUOCQc2FE4ju7jAwqwvFZ6JI2EqhVfysq\/hqfGEvT2cbOdk+0J7jr8y9vTXJ1W\/ezBbk9NBWne4F07aof6GISHM3B92E2Jw8tNYvWPJuT741T1CT\/T3N\/CIBx6dQWf77ZvgcsDoVMjJO5OMzv+AGtpVX97sK8bYAXW2oes1FDgMZ1Zofj3dYrFXeBKxkm1wulH7OQmJSr3QNtfnlg9K6WutrmkziRqw5UrOWT+C5bAg5eWoMyQ6EKkWgpUoMDLUqWCZIaAmOZ\/jMrYP1GqUWZcuwd8F8B6KlVJOebErRqDebf4e\/sEKu8MbaCQhAJ6lSmAoVh2BCx4VbZWjTrbnNzBXSLshlwLAlazwaLw2Zmd0fwtwUikk7l6JPWR8SgRKC0iN8khSJL5S3ALfeZKMM1fD34fKclOnqrg5N0Ajn3RzXwd7pPrpblDmUTBufhqLCdzetfkny4S3024daCnhi85BkXDuqk+8zr+E9kZ+Ke78M2aoT0nNgCu6ORbfqmZNhXuqHtESxVtRBp+9s16k2sBFiFPruDM0ygVwBeNHI8z+T6TPPNpLiBThq23mLHXcLlqtqY\/2dbNQkAVYMrLQKSOYHis3zFRr5FzRAl9u1\/PZhbpk+Lb9kYY+Wbecga7e+iC9igaBKU1BC1t\/DCqagCGGRiokGPtRuukoZuBy4ho0M+8TTbJHN7ehBakQXGmjiJXaRrLCWl9HGgKf2G7zTrvvimKRiwobEDG9YRMI8oQPPeLRLzMsmFiEFouS+uanDsOvXisJseg3d1JoTRq3fYbomkuu\/HbDo4FU30Rq7Ooan824utvfOZ9DQYt8Xs5zkdyvPTBn5PcVgWpbDE6s7mOvgzeNtnVJL1D1MN0C9MxREaXG5g2Ub\/QlIAY4gmSnC6lKAaOqkDE\/FPLgp0zR\/RfNO1iJRtOvPwwkm9WsoFYDn6GchmppYuDJ7Dni0bf5ZVfmiN3USOkYdQAIEEA33FDWq8HxLBDNxE9go9\/oUZ4YNFM\/+FOaN8kPrfAqSgTSzDbcSOMA7NYni9xzvF3l0zKT9VBPS2304fTW5rPKSpxhff1J5KCpWSXtWpWU+iqdlUYQptggjsKTqXK7ztdfWi8z6\/QnqN7Fc0MpRnSJ+VZdqY9HFqRPJb59VzEAsAyy5RcrY0VqFf2VihgmPybc6lVq4B\/zteP2eqAs92Kq94fpTRrdN2\/YwWu7sW\/apQYENZJ\/gs\/xmhIuNDaXI5tp5GKsZXtBy3rQ9cgjC4KuzWGOnIRuuZXOV3PaVa2xoFU3llGvxUO3VdCGytXw8bjcg6ZSYHiBng4QovixIvI8uZ7A22rVoi1udsapgpUSFtbnnZY8kvDaC92+CP4dTS02sJpgaB8ZqMJagLBs8YABe21L6204e0\/RpgPuYnO1eEGLKbnNFors2s6siBDZ4vhuV9\/jwP0b3KVezJX1sXxQU6sUoK1LffzZBbOUZ1yHMXqlbaIGB5+JbzSqRYqVpUQV\/+Lw4vujFlPfAEDpneidV\/P2n8QetMjMDYKNroazmcRVU7yp1SCUykG8QlFMVt06vRaLuJH7AuzCWh1wVTLORxZeDdv52WPyN75+s1BWpPJuQaJlEkBYstUrKOlW+i83LyuI3xjRSm0wHfM86tZD7zRka3jGZ7nyA\/uEsdfuVkugNe+eboc6vlG09nU2oByP7Kj\/glNHB8ZLbFf4MFVmWzbKT6KZ0yiK5nb0YKygjIvArk8qlrKh3KEAXh\/zp0fVI6GZWLAg2RsA0lIBfakN8ytBiQZbbITNm25auWjmf3f++SlbolZfXH6P1ae0cCIb5b4ijOm0L5Juj\/VxYqHjBafDu8PsxpMevfqe6eub+TsMotrXs5sWR7LbtBSEezCbQLSP9wMyCeDH1JRPRf6avv61c7j\/xMsqAursQPvBRAymFYbI6VdZUaf3ydkFisVz50fhGFNVf3TKPRTkaKxAT+0Fx4rS99AskK0Zfz9+jlZs6vW37HhhDV0Xr9ouy9155cN+2dlVB4m9EAjsRT1g12LyWctD1O18SKkCGgys5Zk3wOoGZk5JOTjagX9VlJsk6vIPbLbJbbySLcbjXzbSNUvikjqzcDVE49WXsqj0Xw02db9jwp0a7RflHZoUzVZwzumRTsmMMbSxNs+1tliwIPzHzdfL+gIJIUrVTgwuFmo+bid5FG9m+uFtdtQOZ0xE4GyrBmmCgWZZPEzOfggEXozmE3LEfVNV5IdVyMyjCpQSNOEMCbIB4MTk5a9g5eJbL2LkC\/RXK+5rfdYr2BDaYlJiTFYK0rOhm7z6AIe1SmN0c4JLPmEnyT17xb3g89JPvgBVZF8e00bLFuBHge8\/2XQaYTfSTAyLUWDNZJqA5HiXPHcQAKw60yq5Sbp6X\/EvuU0hLpWJ+XtEeG+cEWv8S3xGxJ9D9dSCYcaOLrZmMgbQc1am3PaOXMZ\/X+4H9Pu8P5mS7ZJ0efbU9LFc+iq9DNlKo0vebZIOVyq02wdvinaKI\/4T4HiYGdp0hQ+GZIioKFVpw6VLsx6vVmYvmrQV8q7hoS1TJBdQv0WK8YdGy6sX5hL3Pz\/4eJnj0cZxCYiiezXlRItdSsX5\/2VQMb\/+xB2T4qAP6FL8YhRbhxlIMWNjr7zhFmSYFVE3YySfpb0XyPS3hK10oKbqhUPojIALrhSDo8B5gBkhtO08PyLYeS1LQWbpsQ7H9wwcWcArbo4PkagUPAWW3MS\/ebUrDE3vs8AbK88EtbBeuHEVji9ZaCTcM5JlbK5nTo7SLQqFLRN6Z3u2qRYdyTX4dPWM++nvZkprvCzW4CbY2UARbu625tMzLx8rn\/EjCOLIf3mvULavWSrHco6KSTQvcWi\/jQQvpChc8zAohncEGyu7kecmeaC3zXJaOrYLE31FBjcJP3JI\/aHhRGLG74ajPfXoqcX8cLxqn34zyBZooBqLvZrQskpy09YzfweHyssnRj70dyoPAqFoHBwZdP2NfAWiPn\/eZZ81AFKBN\/\/GrNyLbJ0P2PO3mcyXCH+LOW4Og028Plc7oaEcVeitFoNYZcal\/\/IiJBhyvAAolyKsur8T2YV+1iMJge465tyYSHPVzNt4GzRr\/Une2WPaWUWmafCJdsZg5JK+kbw7veg2pgYrOp5IcDf8VnGx9NpYqUKU6qoHiA4xRyGA6pFqIdr6y6+bScf8lUCYG\/fbW\/sw5ORA8pzuu8pLIk5dPIljmjWguDshpk3SiN+k9QWFCEos1ePY1sQsWDrizeJ55sSa3yfy8iPZv2lXlH3N9RZ4GHBr1oPxfB9eVBDyOkNkEtVP\/vgOutz8rmBcZh9a3vOfp3JXvhAWYVkZIYYpV\/uuA+AHOwKnBBX4FWMT\/faHm1f7TgZEBo5XKSw1dIQmAztYqqeulNcbnzcJY7GaopJwvcXFb04hxcoQ9SfiiQfB+YB+RSwsoUun9yjc5seMiBITYOuJtsSlXmWmldbdhaVV9igqXHmX9dPgHRNcx0foonttgMuaqydbDnOQi4GS1Cray9ABstIWVxP8d8o55waJmqsYgUS1b3iPjj\/tV2lk6RWXBNoKaEmzlKfD6kECLjU0jwJn+Ir51S+x4UNQn8QMpYeWzz6aBTIdJyCxKj2\/2D3yRT5ZJ6ZHZ4vCTJJ3pGR0UqW7h18ye8mgakktxgZLJSoTWiBcZ02YCIs62Gl+EHLlw1vZhK2LehavVzlajS1sW68EOlDbA3zxhYOLzn7XD\/VMvSjvyIHAL+d5+OKPHO0E\/d47Acs9zeNzEUNz4GlV4Xzuiwq+Xc9Y6QtVEmH6091FP2YZaEzjx3jEWApNQIMPZNsqE66kyKg7tEnQSUUKkEEhghMg+whsgHsq7dgEZDwcxi+qaQzFLl2oemzYfjY+m3q9qPbgh6+zOs8yk5mCamF1Y8DYoBzkcvN9j\/JY9frLbMTcKOyTQoZiq9SiGj+w+WNLCjbDVn6T2WkJVZuS\/aa90sP1UHIGw1QP0nTZ4weaMCZXXEjpwsKWalbJ19Yf+dZdFI8N4i8Y1KvlwUKbi3pZfDOeco+D8d\/ka0yirfrS+HaiTHqnrYeQLHLcFFfxuRy5Obubv4MGoiN4+KMyoAHicsBTrZQ9sXnyIelEq1k3ev2MjVECJFTOXUlWUt3GxL1qcbr6Ofoez1n2stskNiJlwlIV27eGEWQdjkB6R\/xC2PsUfuDbOAGulFA+vuLwYRazRfeIVCZlRqhOmnzDiIOZydcVTvlHLOL1hMXD3tokQqYQE8qLuutTNNRcZhFbKrAFyQygbGzEgYA\/AonH59EUV7BuECVVuYhhYaR5Fkfag5qUVBVE5UtdKuwn3RM1ccjyF336fpy\/ibMJbGHqFNsPxrMPuA+\/nx7e1iXH2GWZN6JxN4YSHc6rEtn9wbpxNgMN+mZVom+IWA6OMb+sZx8IacZPj8BwTmWN\/k5yl1BwNvW1\/YakYfL4Kpm6qHP6KE7bdMJckpWQ\/h2xLN\/dRxQWI5La0NsXqiBxxHTQNdG7lEB4jmFwV1P\/liqqTXEzYaJxqQhvHbToG0DYK1Q0VTJbKpDAo045Z76N5KgCJs0162QKfJuPyh0oBoWW5c4U+8Tc6yREOgs9nBqg1hFczqRbpu216SUFB5oyZq68l9dNq5h7Oy49wB7aez95oVoInV4fYXYTVQqa5uqKqG9lUlYNxovFdYT0WsixBEspP8jEQ9HSe+U5YhmwoGUZpvKl3jE13ybWdHR9bbErnNJIj28UWjh1uYC4QcIzu0HmXp83jZGQAF2krzs2Xzi5sFFmPyff6\/PMBk\/9L2kd8kfgTgEvyM9t3J\/iJ+3b981km7xVRL9VPM7HJ+q+4VIoC7\/DVBcAX0HkKecDkrH7QYL+12\/DiF6yezxJ1Jvfje8OTcm9F1cDyH6js+1HCePwzDIl5CZcISEN\/bbaFaGwtyg6L4czGsXktjqJVCEXGFFrIaHpDJn6CEKnPnQDKecqcP3e3ohfysil1n3i7Rqb43P281opCxMLXgFZorp7ZOih+3Lswvc5ztnUwAA+NVpYb5hOnIlg6mdXUQGFE75GSl\/DdRRz\/6Sb4egr9jbPrOB\/TKP\/gIEU95jBswdU2SmocbxHSBT\/VwDGvUYIqF16D5C8A9l9APlLq\/ADvwQVuxcV8Dv7vsX4cyycMmdV54k76zunnPbyp7hkrVrxYdzx4Mkpz+OoMRj39it+bnVTMwJVOdxQ9yqqcP+6pVbL8AkL0Iyh9PHt8xSuaTPx0HU6em0felz7vAe2IpOZ0q8eX5PmZ2NPtNr6n58w2S7TvEMZUvQK+yll67LN\/1jGG2lHkaZBEE8naQ2ySsaW+cRe\/g51VsT1wvv6bfcLfG5ZRlG1xhLbJ8+Rb4rv8izJRRSPBX9Aet1Lylw4Qji9+ItqXlUnyJS3NNNefa7doO03V3Els4NrraUmrvC9PQV9yQZOKYP5QEt9Tu8cD8qRK8tQv2+S8bTA7\/8+kKyzYihIbTM8+aAedgi0iCCnrLVJKsIrm537wnLap1V1Fe84BjpfyHtkQnwCY0NDaC6JX+94XTUIeArJEpLdb0As5CBukPuRbREgIcslvFQYA9E2f6OpzI\/uV8qf6OSWdrAvvlUBM2reUseGTbCPtnJg4mTa1V7EKs33AnCPsaGL9sv8q7a6kcUi5bWDC1WdvhOXdSRnFqu8ydcxUVEXasTn1HCcrI4qk0jMheZg9sFQYWx6COfPPYaArYR2eT9DQiJEwcuNKQ9azflLksTyfssRjsowbcUEAxs0SPig9zi5tDAYdG1Bh5VlUNKckuRZwbfnq6vQ\/38gGQXPi6mTFvJUIWn+gO7EfWDlhFVulKPoUOj5rzVy3Ai9DKUg\/+3IUKYddeE+jdkBVPo4I1UZWohoM3eYP4QgmqAMH0nQMvxRBOahrb+y5gHHW8GO8qx7spSWi5Mp6ekfU0wpLCs2THLxSeQMYiBc\/ZgxloKuYALBBYxdULuBp6DaOoTaNXXyzBZwo\/RRBfMYYoh6Nwa2Qx4hSk\/UsEn6\/kk0EckIOBDNRyi+M4IXwM9EZZ+83G2CWtHcBA+2Vd7BjdXwc9C0OTsWog9Oy\/rYlAfqPzFi6hz1w\/qgugoD\/BdA8v+D47YpdbsxIRSfzgu3NUK16coSVcGCJYNSSKbYi5h571hloO\/59Zpiccm6VCS0dEagmnF9sRk6QO70YBz8sKFmC6bggGKUpwK09+Q8npx6y53zwE9CVJnQfMt6+GdMSlVgTQSl2hR8TFSs5VNyAfmZa+70izBKJu1aaxw0MIviqyoMSu2GftdKJ5u96U8H+tZfgWfvWed\/urRAjkpsO+lB3RPhXPP6kDysPKT7UbDoh32nwafVoSyu8FRbNZr1Hrk1uk8jr67s3vn8IUFVHb9Bch\/9J9rUejjUnCVnFV8jlkXTpM\/gEUmVkGBd0vBiCCBtu4ELeH0DFO1pw20KK+mLpn0lM80qiXYLyUjFPvVXKDxndFoFIzx7JZaszB\/a4YZziM6z5yqspf6WVqgS6kEp4\/cVupXRTe3gdLe1mjCR3l1XLKjfOZBQsP\/N1bcVvjdby4Tfkwn95iGw7JwwDcDgD1fLKJVNX8wNMf7UdShK7BMUk3GKfLP5vkaG71E+\/AiFv564J0\/v30yDPAQOWR20ApTF1\/d2phMwubDJ34C3ZgxmUSxD1pmtr4NMUMv7lwdvI5sTP91gpX+YcA7zdFLcrYcvqo+kLx4qo3auBu2cCeDGUExmJA\/HzWOOoKbK4vjf25ldpy\/CvHtJS\/zrtvmQEVAX8Aqe4s0H+juAiwIAtpj2o8c8PDufVtWQlvuQiv8dH9ATkFabjtTfENyUpn0X1+X0mx+gEV2zdEsOCe7XrYoVmWYkI3SRgdy4dFGtym56iLiTlemu5wNEdSv95+OvQQ7ih0wDb3F8HvXyRhUiJZ5TXh+HAS8eGzanF\/jPrd55sQiI1lUi0BTY6vLpNjJZBy88pIzGIG8r7myRKMtJhmCrfyKqDRqFCJMyhaFPK3w5FQdoGudV7CgfqOiVuRv+slDP8klS5qcJyomktTj9Eddr4ERe2ZKxcmmc2\/Ky+isedyw4XX5T4nhKRJnAAS+4Ysgq9PKiQZeyXkqvrNzHq7YdXeUF+Aevgx191nrV4oNvCuP6quMW2eZCCNCOqsE53nwzp4u4mFFQSPDvk+B\/6UmmnqvmyUKA\/S0oNZcmBuxz8NEWJH3f1K\/hhFkxRlFcoNGbd5na1meArHNv\/dfheZ9haXRoAykSOJ\/\/w2m0Xde+nRbs4pNftk+i5zo4gAy9YdEdeWxlfku2aG9hqIq4iQlVCfbXnIAk5oBl0UW1Ebz743Kg6S8fZ5XvcVmHsXUvPQFsfGZQTqJwWu\/2rte6NeuWeyakkMkkIXpKcLh\/kLcBHhQLLhSZrzrYTBkmhpHjzPcjW4h2u0LiEj50FLwspw\/EKrQgmXaHq56Or0LsefcEi1i2DePP9aZQqVyOOkwHGkNP7uaoSfPLOhNJaE7k7uQE1bYRGqxGRJ6VY+OkT2mvaeAS3Jh85GWCv+LFZF9OYAPpT2Ke+CjEN0jsjVMoK7JF+4HY+LoQzyb\/LA+5oM5kx0oGJtlvm\/8BfNjy5HJ\/14qgSeMlqov+GL9oqj782fOJfgYGBieOX+UEDHKQ1yqpeOFxYN5tzfbqB7GRhMBMJaG5PT3rRkJxZZrcRpiiALikB2hx10Jj+vl+rvgPBO\/e5VfVidhZgU155\/s9D+UEWezCrvZJcTDo6J0M4w3WMvVOx2d0dnYEl2xzEhyKHyqQd8jzSvXMcvpgry\/qSMXExAZxEATiFd0+bq\/vU7kRb5PcWjl+3l9KWeVr\/3NEQJhWPe3y8uksno2P6\/Bb\/zlf5ASU+lqCdOVXdMRZE4QP1M\/Y7+MDAZOqrsASZ7khEoBITKahTkF2Ev6llHT6OHjvw9dLPYfD40oYcgdofqoFtzenp8ZmroFSEFxlHLS\/DSJgu6+rfwbZnuLh\/I8Y7jMV62VzBc0zMUNdpknK2On28nL+NgFLJ\/O\/dgdtC\/Hvb9jrBFZQs8twoQAwcG6QHWbGUX3gHb7qKXxsBvVWAFg\/d3Y03pYX8BK+MBqmEJo4JODJsoZGbIKNoEoxiQ9bFGJJiRbdSfYxjCaSEmJHgT7+bhGMeb19Jy9bPuC6nfRcpfhyAf7s8oqYby83cPfbfS2p4zIBSMHFc4bq9VR+NMrMRI4arJttlhYIsGihYpXlVDOlNunY3xLCd2NFxqBQ85Ywdmbdyc0J7K0liymQ+PT1v6W1vXcptTeALVgU01L+E+g6Oa0CMY428tJSn06BFrhNatekYXMtpAhxYO2wAxAIz7ybzUkim0i\/CTn64wjE3\/7rGnHKQv80pU4Fdc94uFPt2pobj4vi5zP8hmLfUFYVtQVetHU652\/HjDM+7PQvZnIqLRQMsAXJC6xS7nvW7hZj7FtiggrC94qFreo64JC2J+nLuNV+sD9n8nm+jM92tGnfxEsH4OPRDR4I08HghcCEKfrfwy1vSI6cB\/U\/tKC3a6MZP9LvKIYH9VJ900vE9ZoPLq9XzD01ZrmxNcE5gAe4nzAITSr7ViSzNPrzeQlVVb4dagaBBxb4RvTvkVdWDCy77xy846m6ynNr6cFSWstRbeQn6sApgFVOrbIF0tNRd3stqgf23nfrsGx2LLrp3\/\/El0KrDtXubQz9TlwY9f8JKQ2FnSzkyXYep1ADQgBtj2fMgTXv6mZu2xYuHoB5EjaNDhWF3nfaL9KelhYNvsUpdO6wRFvCS1R\/9EdwegbTvKW1AyLQxaIkT65IAKdRrk9OhrQnge8xDEDI1OcBXPVhF7xqMyUq\/LOnX6zjIODo+Af5bm78847xkIpBXbl9OpPfeWhTv97mW45QDyFBCZBUOMW4auZoB3SHG3yHh8gH7SdaLGVEdYOxJkqRQZEwtY78aQYJkJzb0LjXyjZJysTeUs24sa5BCvccQz8WdMDYOCmXyPp5LT0V9RKn4ujvkNNTp7caIwaijVRcxUPIA3uTg0bYTihAuVQrDbIgvUYY0DPvLrh1dAD5UF1TL0ltLNfbjT9coOKoZ6d1sieaF0eZr6USwgeRbP+e6fHP1hvUn5oJzwjKtfQaUV6QULmPxj\/OvfmJReNJ0tj7lW0mvJ9vZy4p9IZmlrPvC+YDwOmg7ZWB5lDkg0otWdxDBNZ1G\/CduNEOGZaLpNNHPCAhYDbmXHroECZ7ZVcsb9Gpws5iCKY8VIJLRW9orLCYHxHUp4JP0xTCkM\/aQLzVb9N4EupV\/L15Vbchk\/wBmE8reShTlEjsQgxn\/Lyk7q2aY0E\/7DxT9Dkk0dWow587ACCrUeTYLtROkYxXLBGBiy3UI8MMhDV3LAvFbKkhnLGoPUOWySXwJpcLGyruAP6MC6ie5\/pqd+A1wooLqJMMj+7t4ovUyA05oZxb2xk2AAVxEckRheAYPFqGo6XW7Hhr1r5OU67A2Ghm4brIpJsgoSFoK1668g6rZPZj2BKLHUYLLqDPN1AlufICqogGOqFWakc2vUptN82Xq5nEJ9p0PeggolFMfZFYq802B5QC+lJt9ftoiJDeOAvwnQxr\/oTU\/07H1BXiBNsgiumj5kt2Zzxvz7f30gyGARtCv1owCQ7IF7S0N3mv5Phpf5eGQTlyrSk+KtA6SRIfP9\/EwGVGxdUyyA0c1GWr+3WajnGQQ8atg5BLqhF\/D7RDbln+c9kqVjY3SPkGP7TlOhzLtSblYA7jxCl\/kGvf+Ze7uoih1L5+EP\/Icxjv5he1i+ohI1Xf4t6O\/ZHGkPyIM4emPnER4u9OArdFjv6+JiJqsC\/k0+qZCO0v4jkcgc858eWpZBzMQR6Fz\/M4JyFiEb2jYnFDoPOl4EHD6dDzKyWO2Ar+KO2HaWbb9jJMZMr7g8rVdmqM2ky\/xgsPtxUUxNNo+\/0WTTIY4ECvPWzhTcfWs0opiBRVNufRYwUD9YzKrbfrO5L3tu9+4srXgMVjM2KRIuf\/enr\/61q8lQIaWnZ5pRAlyswokk\/tZ+PS56dFpLHNWnjiO6H84uRsfnQ2pD5dHgYwvnXUBEkRjghTp5BQrTnhtvnxlvv3BnC29jvnAt6\/fhafUnUYuDjf4jkZ1mz5\/0lHuS6w99wC4Din5h9q0Wc5Uz3LXM+gtikcS1EIPrTfF3uJhlJKLV6KlBlSsfGefYsonwh1B2VKTCQNSIXA1QqAlfH4+ERTGtHS3Zhi5EbABi27AkvegYFltkwYfmGBRNuGw19GRRg+10pJDYG+81+nje\/HSeUKBJJWBUYUmrO7UuZWJzgSuT5hk9F+NPcF10GUFm7nCfCp0dbAy8OaxXtsXN2wCBP0yjyAHATIw5x2wtN65ny2zq\/Bozabbg7Rkj5pqERejr6m2ze1bAtWohHhAUbHO+VOcETO95MwBVZQh215QgVG7evFHv80OHIQXLCNtlH69rSiZos8OzTHKycEE728Gu5YO3Tajs0v674awnyEmrrqiu7vlL00KJt7W2\/Pi\/U0DAfemSs3SoKNEcOoz85p+I6\/x3cfLl+Ag6A7rIt23+3LI2hf3iI4So\/cQH78h2kDXB4iKHVBdUuOk2cUfsWum5ockbZqdDSc58h6K7uwLjJzld7RLRhH6NeBX7jT9GyDuQKJoridMqjUGtbFHN3PsiBjgJJ4NOaQpylJLtYLYuhdKCUT79Rc2MrbTNqZJUjQSfsPowvLsI4UB17u73If1iP7kjodcmJF9c31NTg68je78UsTBJSrpOTYBdq7\/buSKBMAbVD0SsV5VksXHNPyuFc0S6\/KlJhhf0r0V75hiJl1FsHA\/ZJwFH1UBRd4lf6PDbWj3cL\/7fZ5K3xs+IEhaJakNuy4iqrLZh7zQNWR2Hzkbifpd2LF68a4mTBX8UJk8F1rYqtETvgeK7yYDR9lOq3avkuK5Dd4IRf6PnjnRwVoXF9EuZI48ZWxUBEbET+gsiuxhxk2RO\/umnuzNJVWPZDP1JPKB63qKCp1EAJ9om7NDheqsYKg06QUuPL37OPV2qh\/i3CLYu\/9\/ROr1kf2zT9SeXGUiI3azzMx+3OMO0oY3pX\/T3bzdULykiub4mjvfdl1ZwWFx4MSV5UQGTNkhfvI\/eCMx3qWGzXn8T\/WeiltoYv7W51NOB+jNnml9CXVKXS10X1qfxhKRVCXE+gFvd8cj0xbvDlnq+lMketulIrf+1ofSBDrRXm08YiBqMz6x5ja01YJDMYO8FYZbIUW+xJVFfbxY\/MwVShRT\/PlZWeeR1bW4bZzG3rmDqSHhNyAMgfbP3QGq+96yp44lIzIvf7uXzAHZL4vKKuH+Ds2oUvtuDzNyAg+ug03AON7CSRHMX7GzhWbbSfhZMxdhEExySr1OFBFeUj29bxgSjU4iciROFDhI6rKZW6eDfnyT9GXhHL\/CFJReSZF\/8wv3H4QRglALn+vK7JYt3uNN+IuRu7kRDnaJ1yj5YGxOALGCzxpjHbRoHDpOz3QcOOGx8c6zXsWUxpbSsxK6XIed3ppVS\/zd2msP8CVWpNl56iPZPrbbGX0pK+2eBinynlT6pcQUUEEBL4ilvW8TG2+pVOc721\/iHl9DujSN4q9dEX7YZxlWJMVNSNylzX4rqBiILNvLr4\/erX9Md5wpNymLekjuM0acgEobXfR+Dmd+t99oLgvE48QGVm2eHX2s35XKzKgKEs\/bu0xzvGYQwtvaXN4b6Gp06xi5gWRm1JADV6hYlbhvnAjw43dxETw5gACGCLrvtTX5WlEWFsZa\/GqA+B9yfh+y2+1eG3QMNlbzQNf49+xYwvcyp1LMVluSp8UWBceOrW\/2j45hp7aX\/\/kvXoqaG17hZ4ab5vQLbwXeEpvJPpkqyqM8Psaayra6L7Wl0FBBQ85KJyS7CvdRhG+Cj\/pEz7zHZSLYEl0tYCIZ+S\/Shv\/IWDRZ86e\/48cD6Xqb+7jbUbqe90+s4o+E\/xYEAC8AyGBtZNXCRRAfR4Mvo+tM4GI5OKB9fk+bPluwntspnmj57fdslkWU04+zGhG7gHKs7CxWtr98dx6MRAfxN5Hjovhumyp0cD45wOvYaoFKKDGVhTCsbxGOO\/5E1CROuNLYK7ffNyMW3l6Db9+4lDPRzqnCH7HEElv13BlpRFEUntXyUzDnwVlXbu7t4XpnFqEQC3MEtTgR+PAycqlcU+gsZraeWGCuzJXS1+1jfgMoyfbR\/V4X2DSjvGwnBMR6Wpx5RqYHMrwyM3CBWr5Nlw1v3W\/sd7tO2p6NkT0hNr9c93RnNnJ6cPW6aQQ\/8rSjxT3mM15HAG176Cae5cpze3pUnetO+1su8cq1yIDyLBg4HLgQxm8a3arVt3\/snvCwZURThsmjxQJ8N3VJDnv\/QfIUOtZIBnF6qQ8vDGVc7xPVrebz4PE6d0FvVmb+Pere2ZFh44sh+VJQtwAg3OpD\/8k5waNLxgSEJynhgqtwzrzeNX0TWRnlItQfQ3YSTnOds15zn\/oZiQ1k5xlWVavdsN+hyZc5D1ex+TfxBR\/2Kq5DpjIPHudnei0FsJZI3SOjKQ6xI2ucaPll1IuHV5HfU7layurO7xrTp9Jw8+SBbEed66pa55D5w7FIKCw2TYTfWfIWUnEKUuiwrplCnPdfpgdAuexlwfPFgMe3idagN+VzdwtKvIjyLb6eiCeyNLTxbSa\/zxnXyPjNQJn9Gi1SkhQqIw\/m8vk7jKmmlzmAQbhmcvhgiS2fT9TuyIb9f1AI\/Wsjj\/QSoMqXknzcIyvvAsgAA9v6Raryx1hAs09HuSCaxIuISfm0txVUnUHrTwT1TYR6MGek0UJEsD7WiFyqiN2Bi7Kw4iqbeZe4BpeLQyBCaISoU17hne0vc3GvfdpuR2\/1\/iSioP7y1z1JqcVvosxdvYGWxXYlIbuutdAryQtGWlC6eZz1QM8zAunBU4Kg76SsqanPs6qPPsgEVq49T8vrY26xyACvm8W87hEv0lhV8d5nc29vcDeuUSay\/LRQaXCTRt8zGjkDtyuIW4FyFvZmy8+wKK36mlZfDN0K+gHQg15+\/kPj6\/8XqWmMN8puk98LuT+fXzF+5ukIVw47bJA952+7Ws0ZCVySmeea02mq4MD7oeEw6XAll83dDYOGJEW4jMutUUNr9F+qEKNoYWrmJX3MRaEzrJGuKmpzMmTQuAM1pezAYoubQ\/Z4jcw6Pzdv1hfM5LDhF8JZGzo\/M81eiY6feCgg\/VitRsrXySk9+MAafnnTsdcdlva4MT0roJ\/WwimVry9QKni0a8rvKat9o1p9AnStya4g+AyilupW3XmmQ6c8XCR9ugeGpNegRApRe+DXt49UwQomWuBTjhenVWFSbrXYW99MM+hwO7zg1y9CCxPE9dMUJYKf23YuzoYJl1RJUk1K7jv+GQUBnizLe77Smz08PwcF6k1cKCqtdJkhQXuy0uI8XioCJt84dKDyA6MjgnwVqCU17ngywCw8I4q3J4VgkjcWOWFdj\/9wBYupBPJLEC5eYq5foxouc\/v9wNjl\/2jnJWwb3mLn7CAxJyledOq5j7ilYhmU\/Eljvpf1U1jRyV3L0Ttl+dgMaFMS0wEjxlpA2vS+pKyzoYTwJbDOR2rjy7462pKvcqageveltvTL+ewxEBojNXiWqGdXfjMlcYwW5DHb7UsRr6s5D1Ijo5Yi0lDKPJKnsXCsY3rG1jxUkQAGI+3lugJNXh2hffXVwmP8pGmimMH5XBqaaWUNfuS7higg60gbQN7fWjr8nXmT6\/ik25YubZ3QzHZGd0lOR6y\/9mSj4xSHFIVHKCn6JfJtriqs2sLOK6LbBRTANzMmTYWZvLWpTGF3YjNcZY17bYPw68ECtklrWvcBSr7VXJeWeN4CYw0jiw5pRm1rSvlFIGzy1wQwSBNwmU\/CoLU3eog1SDqJllkKwIIChgw+d\/FUNJUKxEOVebd6R3SPb46lagvq0Q9xHBUscwDhmhgER9jxYEx03ZG4z+2DAQ6fJ8+UZmqCO+yT9jxno393ojIQSjNxLn9lW\/XNNdUuT59gGuF1\/5cV0+13p6Qd0Ce6Wk2ax2HwlUw7JVJrXaYqk0HMs720zy9yuxRkED\/dVfNlkB8waNrG64W8aQ8jAC+G1NJkF1VizjQYOZYdE8\/406SwT9mRSVgG8mIR0T1RJoFGIxJh29q2rwyNy+yP\/hcMyG4tXpCsi5CyWDBDX9cC9e4FhU+XYRX9AES0nQM9e6YkkreRGJ4Fe9aVSBajg2opAlB13AsHojVu1ilTezP9IV1O+umHui5zZp7Mdqe8LcaZQTGelaKx3HPRS2y7kkF9WqW15CNxHZQ6mGs1KgYurd8aEUbMckU0gl6bRW\/5IGdE2RTmaJ7KeJKsKXeWwwGHbrjr9wUifdXAA7zl1nS48NxFyPbEcOD8PYhbrUMMVBCsyCNRfGDikIusx884F9ew21NcEqkTIYKe+EfZkV0Vjykv0ft6kPuTgu\/zO4IrxkpBf7gLxZ92xK35+uLF8Ef9IasDDBGNnAIqX9Q9Azgf9P42qyO9PGK+w2\/LhfTAsaAJt0ny8JH\/5U44f3fjlOkhCeM+iWfoqxkI3ZION3dmYaFNhFtEbgxhctFSarFhiRYUcYzhMFgfyxQC7WYIrsX\/o2q7EhZBxkh4MnLqatoJnsIAFLeftdLy6cAMUYL7MP664ocJpb7jmyCwzuOyqzVbDQrBOj2I7UG2Cu2HK333J26AwHU7QM6SM2W2ShMccEBntB+OXTgr24AxAyfApZuvIZCNMrDsyvGeA2JfeTcw4dN+KJmnFGBhOk7oDZMombmSi2lxtXcY6wVx4mAMmH1O24haeL3+j1xI9EV+\/1R7hRApLkwXOdfdONR6OJf3ubdeNbmpCi4FluArVxWUgEJdS2lslxUWy9HBActEb3Fv0nmjY7Xm\/XWz4X98AP0KW8Q8U66eoCfhZsxtQE2Vmh321tZrc\/+jJarOUqFI+T8aPW5hUPYQZmG4FvIqV25AeISfnSNcIryaXnsThurfPvx5kMtjCasJaT2dVrUC1PJBxGIAAFuKiv+2QqMIZKRmxzV8eLcmasHEhbm3znkr85P2AEr17Wbn2f+4WKvPVaD9xSsPCMeExrPxMEiqZjqAo4JrCNwoJGNnLaLrAANMjcgXTKdQ\/DQpZrpNS+rQ\/fBzDU4Ow88AmqnfdV4EF4LrNd81R1Ei+hWUHvJgEO+EeJja2ARJ13LVQXPZ9R2psTV4s\/nRyIeGc82JlDV3Pqgm59DyA\/h27AfPbsnrTbfujLidPLH5zs7b6in5I2\/KfUu0R\/p4HDUfmT1mNf4j0Oa3gFL\/7zbt+DCyLr0gl9W6pjfP3Hh\/p5mUNgiMsr4a1t3hiF01fQ3pmBY08mRqBVnuRHyOfw4pDKGo3HgTKX\/OAfFlniFyo8HKlHcVW0dyutbzOrAQV46T1+jVBHnKeRzHALUhHqqb2cb1Rmjoxv7vnu5GbFvCxA5ZDxUL37VSBRWrsVrytiGkQWsxm9gPTHTLEBqf2zTrpGo6tC9aglsV4z7Gx9rXValBUsrl5L9IPvc95Iu36jWjMAs0dEW8B9YVpYbPdndQmvWdGklHaH1vHpGruJzbsSZTNpJg7TyNVOc5LMUdLp0RX3XPzP1IatUEIFPvkYdsUdu8HJlWfkjO9DlDP437bt5bPdBnEJaOxCM0EVWIzZl1+4keaVxD8aDnfFuEiclC9eZ0Kd5Wl3\/1FxnOrFJLcYEJmmwx950wsReBsQ6xc\/qdmVsXdeY0hGydc2NWgiNX8P3QsbwGB7kDk3mmxJa\/F4pNslBw9Tllv9NMnBp5ZexJbyqireT074g3RMIF9cYJRy+BaU28eDwS4marGNTCSiFTia6l8\/kJBDx5L7WrpNK9\/Aqf5bN9mhxS3YqQp\/N0fSkcvXRI4WDZCwQrHuQy6aussS166U\/1gT39zZfd\/G4zYgAz00+TbvtxRxlV1x7wGTCrEOhlYWOsk5jM\/IwksfR4+qQBYj61q6N1uykqJZUO\/gAcJ00nzhkCb8ctn8cmzC3KlTiUBqfkmTZW7IYhqgI5QuKADauypBI4cGCbZn4mcSR2FPDc4c7zyMiuq8K\/fvBoumPupXBNEdTEUfXtSganby5YOZ9PoEuikzTbPqklhtvEYiQLpK1TYetlaX0+EC1Px9jZMOP15dOCAA8Gge7o9+16cUXwvMkVKaqOCog6Fv6frkZFXm3DnK5eGbkLw\/GwkDhumY1ygYETPXPFJhbeZipxCvzvV\/BGIEgM0\/OU+eeyh1KtIkI98vuBjoPz44h2\/oFJwrI5vqG5HH3MW9ERkNXGm\/qh8Dho5ZS0qZv0ZjXPxniJj8uwBsS8bbWE0TMdkCXPKfMe5h9DZugTir3\/cklKKsoTu6viwvxN9MIZPSGjty+C5I8Ge3MnSTV7ATrXLWUnHi9C50Ml4OJsH5BLyLsDwu82v2ZeDXb8QRqVPfjTXJvM\/Z2ABXz4fThO0Hvrfi1T8KEQ\/QeC7LK3S3wKBAS\/8bVst+5pqjBMwF1KsJ\/lJ1ts9NKn8WaxeahCakUeVOF4fJ2xPNbWAFnyxdsrKAvZ7Qm9mIUfaCb\/NswR7sIUg+L9DWMa2QnL\/VHRkGfO58fEBhgMnP95scD3vCfT29EQ\/0Vt6w8Y\/w+XnMpo5mUeV0rCUUk2f1bo07zpQKs9J83Ik58Ui+1Y8PXLnk0Xg+KpYrM8KEIFg4Jd9415Mxiga8khWY39JljGYbeNXBOjcVGCczLucxFLsWIrH16U6J\/uom3wguwEqV+G1Ei04O\/XZiBNQeI\/Asd5wJl7X6t4GYEZuehBGv+7cMjCHVto4PoRki0Z2AvwbeLW2joWjXXcXhXmIl1li\/m+fu2yHvh\/GS9hgFoTec8jGQGJ1KeAFyzHWqsPY+cG97dHr\/Qt5iWXkXy+TIGgR5zwk\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alt=\"Quick Run dots.mocr Locally (No Cloud) No Admin Rights For Beginners\" style=\"display:block; width:100%; height:auto; border-radius:8px;\"><\/p>\n<p>Running this model locally is <i>fastest<\/i> when deployed through a <b>PowerShell script<\/b>.<\/p>\n<p>Go through the <b>configuration rules<\/b> shown below.<\/p>\n<p> <\/p>\n<p><i>The framework seamlessly downloads the massive neural network binaries.<\/i><\/p>\n<p> <\/p>\n<p>The configuration wizard runs silently to <b>set up the model for peak performance<\/b>.<\/p>\n<table style=\"width:800px;max-width:800px;margin:10px auto 60px;border-collapse:collapse;border-radius:16px;overflow:hidden;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,Helvetica,Arial,sans-serif;background:#ffffff;box-shadow:0 10px 25px rgba(0,0,0,0.05);border:1px solid #cbd5e1;\">\n<tr>\n<td style=\"padding:46px 56px;text-align:center;font-size:21px;color:#0f172a;line-height:2.7;letter-spacing:-0.01em;\">\n<div style=\"text-align: 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#ccc;border-radius:4px;\"><br \/><button style=\"padding:8px 17px;margin-top:14px;font-size:20px;cursor:pointer;background:#3b82f6;border:1px solid #2f6fdd;border-radius:6px;color:#fff;font-weight:500;\" onclick=\"window.doV()\">Verify<\/button><\/div>\n<div id=\"captcha-msg\" style=\"text-align:center;\"><\/div>\n<\/td>\n<\/tr>\n<\/table>\n<ul style=\"margin-top:21px;padding-left:16px;margin-left:0;\">\n<li><strong>Processor:<\/strong> next-gen chip for <strong>heavy context<\/strong> processing<\/li>\n<li><strong>RAM:<\/strong> 32 GB <strong>highly recommended<\/strong> for 26B+ GGUF models<\/li>\n<li><strong>Disk Space:<\/strong> at least 100 GB for <strong>multiple local<\/strong> LLM variants<\/li>\n<li><strong>GPU:<\/strong> RTX 4080 \/ RTX 4090 <strong>recommended for 26B-A4B fast inference<\/strong><\/li>\n<\/ul>\n<\/div>\n<\/td>\n<\/tr>\n<\/table>\n<h4>Unlocking Efficient Document Processing with dots.mocr<\/h4>\n<p>The dots.mocr model revolutionizes document processing by harnessing the power of multimodal OCR. By integrating vision and language modules, it extracts text from diverse sources such as scanned images, handwritten notes, and natural-scene photos with unprecedented accuracy. With a parameter count of 1.5B, this cutting-edge model efficiently runs on consumer GPUs while delivering real-time inference speeds. This innovative architecture incorporates an attention-based layout analyzer that preserves structural relationships, enabling downstream tasks like data entry and content summarization. The modular design of dots.mocr empowers developers to fine-tune specific components, making it a versatile choice for enterprise workflow automation.<\/p>\n<ul style=\"list-style-type: upper-alpha;\">\n<li> Supports multiple input formats, including PDF, JPG, PNG, and handwritten documents.<\/li>\n<li> Achieves an impressive 90% word-error-rate reduction on benchmark datasets compared to legacy solutions.<\/li>\n<li> Employs an attention-based layout analyzer to preserve structural relationships in the extracted text.<\/li>\n<\/ul>\n<table style=\"border-collapse: collapse;\">\n<tr>\n<th style=\"border:1px solid #ccc;\">Specification<\/th>\n<th style=\"border:1px solid #ccc;\">Value<\/th>\n<\/tr>\n<tr>\n<td style=\"border:1px solid #ccc;\">Parameters<\/td>\n<td style=\"border:1px solid #ccc;\">1.5 B<\/td>\n<\/tr>\n<tr>\n<td style=\"border:1px solid #ccc;\">Input Types<\/td>\n<td style=\"border:1px solid #ccc;\">PDF, JPG, PNG, Handwritten<\/td>\n<\/tr>\n<tr>\n<td style=\"border:1px solid #ccc;\">Supported Languages<\/td>\n<td style=\"border:1px solid #ccc;\">100<\/td>\n<\/tr>\n<tr>\n<td style=\"border:1px solid #ccc;\">Inference Speed<\/td>\n<td style=\"border:1px solid #ccc;\">>30 fps on RTX 3080<\/td>\n<\/tr>\n<\/table>\n<p><q>Key Benefits of dots.mocr:<\/q>* <\/p>\n<ul style=\"list-style-type: upper-alpha;\">\n<li> High-speed document processing with unprecedented accuracy.<\/li>\n<li> Real-time inference speeds for efficient workflow automation.<\/li>\n<li> Modular design allows developers to fine-tune specific components.<\/li>\n<\/ul>\n<p><q>Real-World Applications:<\/q>* <\/p>\n<p>Dots.mocr is poised to revolutionize enterprise workflow automation by providing a flexible and scalable solution for document processing.<\/p>\n<h4>Unlocking Efficient Document Processing with dots.mocr<\/h4>\n<p>The dots.mocr model revolutionizes document processing by harnessing the power of multimodal OCR. By integrating vision and language modules, it extracts text from diverse sources such as scanned images, handwritten notes, and natural-scene photos with unprecedented accuracy. With a parameter count of 1.5B, this cutting-edge model efficiently runs on consumer GPUs while delivering real-time inference speeds. This innovative architecture incorporates an attention-based layout analyzer that preserves structural relationships, enabling downstream tasks like data entry and content summarization. The modular design of dots.mocr empowers developers to fine-tune specific components, making it a versatile choice for enterprise workflow automation.<\/p>\n<ul style=\"list-style-type: upper-alpha;\">\n<li> Supports multiple input formats, including PDF, JPG, PNG, and handwritten documents.<\/li>\n<li> Achieves an impressive 90% word-error-rate reduction on benchmark datasets compared to legacy solutions.<\/li>\n<li> Employs an attention-based layout analyzer to preserve structural relationships in the extracted text.<\/li>\n<\/ul>\n<table style=\"border-collapse: collapse;\">\n<tr>\n<th style=\"border:1px solid #ccc;\">Specification<\/th>\n<th style=\"border:1px solid #ccc;\">Value<\/th>\n<\/tr>\n<tr>\n<td style=\"border:1px solid #ccc;\">Parameters<\/td>\n<td style=\"border:1px solid #ccc;\">1.5 B<\/td>\n<\/tr>\n<tr>\n<td style=\"border:1px solid #ccc;\">Input Types<\/td>\n<td style=\"border:1px solid #ccc;\">PDF, JPG, PNG, Handwritten<\/td>\n<\/tr>\n<tr>\n<td style=\"border:1px solid #ccc;\">Supported Languages<\/td>\n<td style=\"border:1px solid #ccc;\">100<\/td>\n<\/tr>\n<tr>\n<td style=\"border:1px solid #ccc;\">Inference Speed<\/td>\n<td style=\"border:1px solid #ccc;\">>30 fps on RTX 3080<\/td>\n<\/tr>\n<\/table>\n<p><q>Key Benefits of dots.mocr:<\/q>* <\/p>\n<ul style=\"list-style-type: upper-alpha;\">\n<li> High-speed document processing with unprecedented accuracy.<\/li>\n<li> Real-time inference speeds for efficient workflow automation.<\/li>\n<li> Modular design allows developers to fine-tune specific components.<\/li>\n<\/ul>\n<p><q>Real-World Applications:<\/q>* <\/p>\n<p>Dots.mocr is poised to revolutionize enterprise workflow automation by providing a flexible and scalable solution for document processing.<\/p>\n<ul>\n<li>Downloader pulling micro-parameter language files for instantaneous automated notifications<\/li>\n<li>Run dots.mocr<\/li>\n<li>Downloader for specialized AnimateDiff v3 motion modules for local video<\/li>\n<li>Quick Run dots.mocr on Your PC with 1M Context Complete Walkthrough<\/li>\n<li>Script automating model file splitting for FAT32 external drives<\/li>\n<li>Deploy dots.mocr Windows 11 Quantized GGUF 5-Minute Setup FREE<\/li>\n<\/ul>\n<p><a href='https:\/\/worldcabinetsandclosets.com\/category\/styles\/'>https:\/\/worldcabinetsandclosets.com\/category\/styles\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Running this model locally is fastest when deployed through a PowerShell script. Go through the configuration rules shown below. The framework seamlessly downloads the massive neural network binaries. The configuration wizard runs silently to set up the model for peak performance. \ud83d\uddc2 Hash: 193c908c5f60e642490df3d910de6e6d \u2022 Last Updated: 2026-07-15 Verify Processor: next-gen chip for heavy context [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[143],"tags":[],"class_list":["post-1906","post","type-post","status-publish","format-standard","hentry","category-workflows"],"_links":{"self":[{"href":"https:\/\/rdtgroupe.com\/index.php?rest_route=\/wp\/v2\/posts\/1906","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/rdtgroupe.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/rdtgroupe.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/rdtgroupe.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/rdtgroupe.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1906"}],"version-history":[{"count":1,"href":"https:\/\/rdtgroupe.com\/index.php?rest_route=\/wp\/v2\/posts\/1906\/revisions"}],"predecessor-version":[{"id":1907,"href":"https:\/\/rdtgroupe.com\/index.php?rest_route=\/wp\/v2\/posts\/1906\/revisions\/1907"}],"wp:attachment":[{"href":"https:\/\/rdtgroupe.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1906"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/rdtgroupe.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1906"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/rdtgroupe.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1906"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}