This message is in MIME format. If you are reading this text, then your mail package doesn't fully support MIME - there may be a newer release available from your supplier. Created using the !Marcel mail package from ANT Ltd <[log in to unmask]> --80-2107693160-850135572:#-1543471909 Content-Type: TEXT/PLAIN; CHARSET=ISO-8859-1 On Mon 09 Dec, elizabeth leslie wrote: > Brian, will you say a little more about neuros who still believe in > delaying levodopa? Maybe help me understand the pros/cons of > conservative/progressive approaches. I'd sure be a lot happier at this > stage if I could get some more mobility in my left hand, and if this > clearly associated backache (which responds minimally to physiotherapy) > could be lessened. But I too feel cautious about commencing other > medication (taking Eldepryl 10 mgs per day now). > > Beth Leslie > > Hello again Beth. Here are the charts which I should have attached to my earlier email. Sorry. -- Brian Collins <[log in to unmask]> --80-2107693160-850135572:#-1543471909 Content-Type: IMAGE/GIF; NAME=DopaLimits Content-Transfer-Encoding: BASE64 R0lGODdhDgSOAuMAAP///93d3bu7u5mZmXd3d1VVVTMzMwAAAABEme7uAADM AN0AAO7uu1WIAP+7AAC7/ywAAAAADgSOAgAE/hDISau9OOvNu/9gKI5kaZ5o qq5s675wLM90bd94ru987//AoHBILBqPyKRyyWw6n9CodEqtWq/YrHbL7Xq/ 4LB4TC6bz+i0es1uu9/wuHxOr9vv+Lx+z+/7/4CBgoOEhYaHiGcFi4yNjo+Q kZKTlJWWl5iZmpucnZ6foKGio6SlpqeoqaqrrK2ur7CxsrOYhwIHuLm6u7y9 vr/AwcLDxMXGx8jJysvMzc7P0NHS09TV1tfY2drb3N3e3+DFAgKF4ebn6Onq 6+zt7u/w8fLz9PXw5fb5+vv8/f7/AAMKHEhQH76CCBMqXMiwocOHECPmOyix osWLGDNq3Mix4zWK/gNCihxJsqTJkyhTqlzJsqXLlzBjypxJs6bNmzhz6tzJ s6fPn0CDCh1KtKjRo0iTotxFMYDTp1CjSp1KtarVq1izat3KtavXr2DDih1L tqzZs2jTql3Ltq3bt3Djyp1Lt67dqkwJ6brLt6/fv4ADCx5MuLDhw4gTK17c N++gvYwjS55MubLly5gza97MubBjQZA7ix5NurTp06hTq15N+HOg0Kxjy55N u7bt27hzk3UNCLbu38CDCx9OvLhxs7z/+H46rrlzqc2nRrcqIOR0qM6zC7h6 nfm4qt2hjxP53ft26eCrhw8f4Dx0p9fZt3ePXX156vej0tdvfz/7/cxR/qVd dwM+l94A8mFnXX7wFeifg/k1Rx6AElrXVXUIMjhfgQJymB6FENYHonvxaQgf fxgiyN2CI0pHX4UZ4jdghy+Ot6CIDtLoYooaQmiieRbKuKOAKJKHYo5A3vih eUTuGOOR2kE5o3gANsgjlUgieVVyfiznFAGPhCQVAWKOSQAB6RWAiwFnjvnI mQNcdSaaUYFZQFV2WhWSAbm0+RScVBHQ4yIHGGBAnFCJNGaEAgjaaJkBzDnV mf4RaiidVgE66aBqGoroU4rWyaijbjoCaaR2NkLmp9BZemiaa/oJVaqMaPqn JKfu2SemoBra51bjqFnoqV9KEmiYrJrJ65e0/i6y6qxkShXSncx+Kumm7g3g Ky7L1ifsocmi2i2q2Wq7a6bNFhDul7mayy2vZ+IaqKyJunsAvcVGQmxUuhb6 o7iTRottr3xyWyeurPZ777h/CgzwwPz6auh+6dqaLyT7PizttveaKW+kyGbF ZR9eBiBsI4ZS+1QB+LaXS6CXzrmIAfed7IgBi7j4clTChjtOLlUGoC2bMufs lLPiHXDqmUTPibPKeXq3cL3Usoxpz/rhYi0BTcc7cVVI86c0q0zPybTRIKs8 39SgDlCAhjbPjPPKaj6Sspldc432nzHHWwDN7sXNyNMr44Lxp0ObzUjbeS8u Z99czw2V4I5LJfjd/tLtPHndN0tuMssRv3o06KOPXZ/pe5qd6piQY1640lnD LjTklVvO+eB7Hy1r4kWrTKi+SeOycde1m2x4yFT93bTyPt8ivO3d/ixm6oqj TfkikPLut9o8k/656VKfOnPR4L5ut/XHm+qz5oyrXvvvGB+dvvLcTzUyHyUX bLahgD9FOL9AqxH/RkIoSOlPdfwDUEiAFhX9SWsADJyUp0Qys++4LnyfEsAA R5LALxnqdHtjmlP+F4CCcc95iNLgBCmotapcsEHga88GRdLBSH1QaiHkmoYO yLSJbcdXqotc/+Azwz19rUFFLOCneOi0IzJxTpCKHAH/9h2mkUR5QZtP/hET 6J4ntmyE7+rhEBMVQKgAEYE+LKHnPCg6NarMV3uTXpysSMAjanGFQxujCWOH KClSkIpVOmMTadZAtPlxWoBU48KCGK4F4oJieKxgF8NotoyNY4YEMNwDI2jG NcJQTHSkoBMpCUVrRTKRUnEdHNUmR+ZgMpNo82INvfgsAD6SPqGclh0FqTpE MZGLVrnfHvKXuxLKioR/ysXSMgm3WBYThWZSZgPXFM1HUqV8GHRj0qJozQbe EIIHqFehDNBJapGwYOHETgsj1c3N1c9/nlwbNw8AIP45BZzivOEI4znCON6i TS+Up7XaCU9yMoueAKocMuGzzoVOBZufjJOn/viIJ2bWU58OdaE/2TYrZbIq oK10XSvh+UZ0nk5ME1Wn7FCF0FRilH0ukx1EBfrQeF6qkG88VUj5OS9pmlGn tzBgMdFlUGi1tGE+Lec2JdpGhsp0qA0EagyVuk/2jdSGRU0mPftZP2iWEKqT 8mgnk+VVbVrFoUQLpi6a8tBiZjKdX63fAWrFq+KB6phDTSlU0rcs/o3xcwUD 0VSPZsF4XnWu71xgc9aJKuY9paGx5J+svGpXoQ2AYWY96acQOxXF/mylXmsj Y3GaypwFdISQ4uwmv1NZoeH1nSnNaDZ5ttiV0i2LmuxsN2Xb1vo5FLFWo2oq USq5xOVHlX7FlBzL/nrbx86VKuA8T3KVq7WrrsxEAT0TXLlKU9r+kKf2A65y gxqut3URrOGNngDMu1fxurSr5GXu6KSLXusSNpCe8yubZhsAjjJnEfSFreh4 KxXxUte28yXpVRz6VrXmgq2lrV90uYvBoY1VQELtql6dSkNvTrCcBIUhpfhV WPiazr4R7e9KsadXyL5xcISMqS8tWR0XGpa83RWbmBjLYtEi2H/FJBxINSgm FNN0wwpa4jNjW99/CorEnyVV24ImX+a4eCto3SgNszrk8qVsHG8NF3IH953l cis/Qaoyh7mKRQ7/bMSJwm48PQvkO735yXH+7jszNzZtSQ3OoLoPgQv8/uN7 3geFe3rvUp0n5XuqKK74Wdh+nuTNkpJ5O4fNWJAcqkJforfC+mQ0mh+d2WsW c8JUEaYeiNnVK7ctnc6z8laz4lB82nJtOA0uEdkUYv8Z7Jo3Rh0E/5XWm8qQ ZmFzXoDrzGg33+JfZw329IadxWLv99jrJZ2yTS1XgM4Zgq8mNqV6zW1pPQ/S C/51Tf17FVTXlE6DNmMx/btApwr31SRdYF7zi7M7H5lPX7wnufcJbwD/2qsO 1MqQY3hOdSs6K/j82TQ7dtZPqzSLt5Z4pZeqyICj+6wOXzC/zTu1Vv4M2hQm I1zjbVlYn7vjmC11b6Ez2qioOg+spvlT1SZC/qes091H418s16TftNZJnwzH niGxN3AVjpNoXeRT0X017azO3HEWntY9MerMO/mKw3Smm9Bt/HT9CtvqEf4c tbLutq2j3deLjFxLJTZ1TCW64uoKsfIaXnbJYqpgUz803aHuHcBf6l8WtrE5 ie7XdZWQkr7KT89VvESp1x2e4xxnTS0NxnCaXIOMb3TigW1O0/Jpzcd+OqAf rtk6u9LyhK/q1GPMt6LG0Ol+34/h9ashoGcK6adaeJFBr3pBM96vgof96je+ z8V7HsdhB3nfYwb3wOOSa87NIPEle1zY8z7lsna8ih+sF5i6nqIfd2NtEeV7 5Wm+80UfbFwXm+Gh/p3Har6HVtErP32qx+nuGnUn8cJGlmVQo3dOOaNd6xd9 gEVNwNZ/fFJ1C5aAYEKAdzd6qTQ/DqhI8bdSAMht7Ud31Wd2BnR8wNQw+3d0 +pUxbhdtzpeCD6WBhfJe64d5Hch/+rV5CsZOCIVjbNR4iKNPOghpCvhZWwOD Q9h64CdGA2SDgYdT9Ec2QtSEZmSCaWRLGCdv5uWDzcdxP7hBI8h714eErIc5 bxWFLYdyjzd9DGeFf/VlRqiCQNhJELhs6Bde5PcY5gd+qEdCzqMujrR2ISYS Z7hP4DISqgVD2KNvL+Z113aIA2dutyRzNFVvZ9Umd0dCCKVQXbcy49Zn/kfl aJdlUUmYTZboQpjoZx+3iWBlQnTVSYcoErnVcgsGJ4MYEoWoRrHIiOfHFeAU iuI0cLYGbAW3ZzEIXLqmUoAITiW1i8yIebI4a8LlOs5iZI40a8P4bilnNWom NGXEevzFW79YYljxM4sIQWA1judljJKYhWtzjolIidY4jnwIcd/IfJlVjdBH bVhRRLxYjzq3jLO4Se10Wlqoc+J3c3iQc1iYcr/IPwEkXxKyWwCWHQ32aowX QYTDCHsyHr02HvqxQN5mYsMnfzQlRwxHPb1IQuDUktZVIcC4g61nZJ83Nimp LR7HRQbSfNqhXfylWRLpkbP2ND15bgQGkkkm/mlABU4M040IZ3EFFSW29HRl BIfO4ZOG2BwDiI+us0BeiSBLeXA1F34OqTXVVWNJ+UUBFX2Eg5TMIZJoYpDB SJW3hJZvCUGvBSxjqTtoco0QWZDSBpasIpTFiB9kBZdJ2JUQ9JU5tjnFWJQr Z3EPyTEVUh9MKZPl1pCptlbl93IHqZkk9Fbxt2MU1471mI3adYPcRUeCKI3e wTCcJXyb9UWM6XPaBSmDk2G9yGjrxG6OFpNdqGOzOS612V+3+Sm5KX4Etpbg tle0uZhxEnKgQpESZpRNBpsA9kUDaXOlaUuexo6kJSdWaDrMuXKe05H0MWZ/ lknWoZ3P5XPdqXLf/ilrYQZmqbZvEsaP3GWf9mN64MlSN8ifBdaJWyGdI9Qm qWl2KyWbjTIuuXWUjXKfAsZ5Isaew6mN6SdwkfmfokmCCOKeFBqAprmZeQga e5ihareSLZNWM5M81DmiatQtxkY4jEgn+XdJ1zSSXmgyQih2HmZ1bxWKCKg2 HIMoyjMVhCJnJImcPTo6VudXdXKPaad4qxU4TQpYPoqkLwqaTfZ2xiQoV2ps SPo3ycN1/9mLqCijOsov/PhCRhecModO1hGm14alSGqmdHiWXvqm9zY63NOW GpSjcQle8CSjbIKjD5WXWNakJ/ddhno1z/Rsl/R2M9qlgpqYniSnlYd2/tuG oqgWb3x6oGBKqXUql/XYWvBZoq9xokmkJrrJgPnScgAGH9q1pSp3Hvm3lYBa MOw3cIzgHscpj1yoQuwVLDUnLMvyi+GZftfYq3NVZo0ipZiZYrtWrOt1rCGn rHjnglX6etaKNb85q+1Rq0N5aruFRxNCN2+DVGLyq8C6l0gkrtmWdGcKkOEG IHlSnuTYUdKonipnOu6qVdpHlPChRGjarH4KrBZaU7sIrr34q+zKVM4YJLla gWqnsAyHrkrCpoiFq/bkja7JLCpTnNlWVAH7JQ2lsZQGsQeVMf46nVqDOIbz HUZUVLV2rhNLs/o5Kzlzsjy4qSchXadkks6l/qq9waqtc4WQdoqhc0exODO2 CrO46pmOZlAkJCxTG7K3soxuk0iy6U4kUUMCGzvb9XHI9Fmyo0ING3n4taRg y0F2hLII5jxlO6Wk163qGrZ2NKlP+zdRq6FCmzdwYi3n2LX9Ey9XFLdjyrUn iKIiWhVMmygfpK965p0y+UJ0C0pgkri056dwq0cbtU52MkV/VVBo1LkfN7p/ 1D9+x0ga2lmqqLqIpEeQU0ouMkPKY6NUW4CMU7iug7h1FGOtW0mEy7WShKkn JFa7dojj83fmOpS1O7i02FkfBLyiRHvDW0mGuD9Ki4e4AGE8wwuKG1xbCR1H 5HS7km2eGD0pFTX8/mFQyTh6GFhNxxM43hNV4RKkM6tAvfZCyZiMY4tEu+Ao xhg2w5W/u8BemtmnluNxn6NeMyW3uaDA2MExkmY9LdNp8uML9EKuHRulukDB 6BLC6zo5DswzDly++vFBBlx47Xq/Iks3kNotwSrB+xswJLwfACy3W5PDYCMs ulC6JtPB+iuu38PBsSoeh1vEJfw6veBx6BuzW3u79/GLE9zENvysgfMLROzD yeM9Ldyyg0l8ScWX5is6QMwLCGqxZ3we+qvFm8PFGxzEqOu9BwC+STYSPQKt WcQoeoxpJGIi05Eg7WElTGLIB5Kuh0wl0EESVEZjDxLIFBIkd2kkhawj/kMS knqMYetCyIiMyYysyZbsIn88H4ssIvCBEn6syHlMyeWYIpR2ytwBbYTMxzry H4eWyyBCabBMauJRyijSyKRmIxtLyo4MyvMBzA2iyp/8HsvMypVcErQMy7oM HqIMzam8ya3syDWizJm8Ib/cI8eMyqHcy6VcyyQyzpYZtNnszXjBmXq4u8cx z/Rcz/Z8z/icz54BzyYqz/r8zwAd0AI90ARdzwp5ByVT0Aq90Azd0A790Ilx 0HaQ0BBd0RZ90Rid0Rptx3i80R790SAd0iJNHBJdBxQ90iid0iq90iy9GCVN Byfd0jI90zRd0zYtFi89BzF90zzd0z790ymd/tNysNNAXdRGfdRIHdBCHQdE ndS2ASOMEiLgLB5UMsqG7COS3Mz6cdU+otXYgSUeIsye7NXmgdXWLB0sAtY7 Scq4PCVL4tRwfRdLDQdNHdeyoTBE/DHXUid4RjC/MiuaOwkNw340RifPsj2Q wC6dHKF8Ldj88S0sCNjily4cORIuol6Qnb/IIx2ukr/pIn7MEnN2PdpoMddv UNeknRraszqlAzzGM7eMRT29s76NRShrUjlhEzkBUzVrzAi58DTUEjkJ5Vap 8tvFEzncC547PDnzU9m67TEqmNzhi4zZxTUItDfwgzvvhLap3d1sYdpugNre XRqHZLiFFXfau4bJ/gtaXMO5y4aL5Go1f1dc/fuIOQPfQSrfGkpWYto2czLB e823n0tsrUhKg5t/YirgW6ZHkKe0aqu32Atw3FvH1+iO433hIsPPq+rPGK4a M7VT4GlSKlV5ZOVqk6O4mTWWJr4yKP6xWoUVbcbXwOnidlvjhBYujFWELmWz QSYruQiL09psMg6vHV7kW6LhR8vhRk4aKMZepqqLb+pVVSauDhXj01ingHuq KF6c8VimdbydUpuZM2djydpOYJ7lKHqR/TVUdBZQAcVXSx7nGW60ynGicj4a dzZp+xqAMS7lZ0Yfm1ZMVi6Tk/e6Wl7H/mZkPKO4TgmvvEVghQ6yZMln/vOJ hTSJY27uSYiminfe6dxJ511i557eGQlXir0l5GV1Ro974nWsmGXLifUz6KyO Kl5qOYqbf4Uq5jbOsd0zspFYqa0GiuI2qHIVnxF3C6Oe7OP3vZ1Zt8reGbgX M1FXh9z1dTJWeKEnaILe4p5zSamlm4tex9VK5OE+aVc6rWg6cdanRd8ehLVu VpwWs5xebrzENSH23P0V2c8+3uDdBuK974zBhHo1eN9HhBYlX1P4YYd+UX/a 7unOo+LupJFY7k1LpWN+jOuOWpuVPecenPHeZ+8Oaavk201KlIoO8N7d72zw 7ygvGepIicvKjURe4QsPjimKqA8v6/kU8qw+/mkc3t+fefE/bGeBqnLRVph8 FLmp5G3ICMPvKJBQ2fJwrfJrwPJSPxhumc1T8+QsaZZpG5YUV+Xczj34hIvL yuIR//RbIeuNXmiOa69Gb/YjLiArDriXTp4+tNa/mZETf/VTj+R1ruSBESp+ Xx/Y6Yghjja8mbYgWvP4CLgWg6I6j0P1CvEAYqAg63iPLpmPFPkqxjAteZrd 5JstR1wcmkmqWfgpD/ihLviAIeooj/MNtKarrkjrpEIYKvatblNsori638e3 EPWWbzteeqS6fvZkjuIteqc8HuvWc6XLD/Pe9Kiqv/qgTjKwHxjZj/Isy1LE NbGPhkwIm7DvunO2/r779UOuuz75ilj5On9J8mqwwOaMgWsSkhektxv/rgq0 f3R7cDgfEFDOGcEaU+zmdkyhCwhCE080VVe2dV84lme6tm881/WpB35gUDgk Fo1HZFK5TPYOO2inF6VWrVfsqlQYdAeFgkEQwhhI53MlkDFZxj31qOTthsUX sMge6mDam66pvryOvZQ3whbDEzAur7KxlDI0ErVJSoIujsCJlEY6SL41DLRQ jk9QDFG/lY8nkS6DrFnaWttb3FxdFqcDpl/gYOHhJsFdF+Nj5WVmFhInMFGw XicCiwISEYKJOItt6Mjr7I4tRmyRMTa9cY7yFTNrF3eU557oFQnqg/h8/n32 gHSJTtSbcO8UNVX0ehUId+2cinkc0jVsVtHiRYwZm/Ui1tHjR5A/nGiU0onk SZRRxtChuJIOSzcU3XQRNROmRJkAc+qsibMnT3Q7O4z5eUhoTJZFh770wkcA 06Y/iapwSVMq06NPb/pcMRWF0pRhxY4lW5FjSLRp1Q4ZmTJZWbhx5c6lW9fu Xbx59a44u9bv345tUb7dW9jwYcSJFS9m3NhWX8CRJRczObiyY8yZNW/m3Nnz 51mQJ48mLZJwxtOgVa9m3dr1a9ionZSmTVrwydSxde/m3dv379aiaw9Xe5tk buDJlS9n3tz5xtnEpReHA9X6dezZtXOisN37/nfw4cWPJ1/e/Hn06dWvZ9/e /Xv48eXPp1/f/n38+fWfFz7d/zB9AhRwQAILNPBABBNUcEEGG3TwQQgjlHBC Ciu08EIMM9RwQw479PBDEEMUcUQQ/zMxMBJTVHFFFlt08UUYY5RxRhprtPFG HGU8ccdg+snxRyCDFHJIIos08kgkk1TSRjB4dJKJJaOUckoqq7TySiyz1DLH J7tUgigwwxRzTDLLNPPMHs5Uc00223TzTTjjlHNOOuu0804889RzTz779PNP QAMVdFBCCzX0UETB9HJRRqGcoFFII5V0UkortfRSTDPVdFNOO43UB09DFXVU Uks19VRUU1V1VVaJ/gC1VVhjlXVWWmu19VZcc/3rVV179fVXYIMVdlhiiwWG V2OTVXZZZpt19llod300WmqrtfZabLPVtlRkt/X2W3DDFXdcco/otlx001V3 XXbbXfVcd+OVd15667U3Mnjv1Xdffvv1d918/xV4YIILNtjXgA9WeGGGG3Z4 0oQflnhiiiu2GKSIL9Z4Y447djhjj0MWeWSS2QW5ZJRTVnllZk9m+WWYY5aZ VZdntvlmnHMmzQIiOnB1Wp2DFnpookPSiYiVxvjZl6KbdvppqH8YIBsgvClD FbaAjnprrrtO2SENgEjHD1KyZtprtNNWe2I5DsgDCBJkCQCAdHgGoua1/vPW e++1oIrEVm/sCRuAAMAYoOoA1AgCb74bd/xxJQjwoxESBGB0A8A8mOZtwhOS yG7TzoZ8dNJLP+KCghqZQG4vKyetkbnpVoUER5Y2/XbcTb8Ag00+6KLLwrl4 nXNX2LDjcCEYz3155oXGo4Ag3iChaq+CEAHxqYQAKvYfhgJdAFKG+lv77bkn HCghYJd69Ud4N1/55uOXH+bnrV+jSatJIaDqSgzvPm4MIO98ktMf/zIBBnX8 4BsGoMk0ymY9AMLDGv8joBnSRzxuIO4ASrub1ub3QRDmrH4azAYqtmA5uq0O awDYwhnEEAITRuMHAihIF1qowNWNARtoqB3Y/s6QJrBNrQQcBID6UrhBITBQ gACAXwid+MSK7U5uHvDdAMCXAaKAYX9HhAcf2KAVJV6RITrExgwLQhTarc9t 17CKAHZIN/AZLhYgCMgY3Ti9HxiRhkgMghIX50EoBlKQHkOd21RnkgHwTmzg c0MGpfYB0AkxkbJYpNz2iEI4TjGAY9giEL4AvUB8DwSx+J4ii8i5UWDyBy/8 o+gG+UpYUqyQjfiEAjfpkg2+gY8slBz5RnBLreTykpXcQABj4pJG8NIA2gNB 3NroChQa8ZRjTFwiQcdEQMZSm9ssWCGZEjsCMkWYIIBbL4kQzpeMc5d1250a JBm3JiGQmRt0Zjr5/ijNegrRBK0sEzf9+c96jZAI+aAl7ABCzjw2aaCpK2gj 18nIdr7BD3WIp0KrBoLNFZRzZ+DeNXpgylYKCKAjJam6BDqESeIEecNUoOS+ 1z6VmvGhmmRg3BrySQCQsqOjtKZEfte9a3YvKkvrZ0mNelRvnVQIKe3eSmSK yVgozRswbepTnkrMdiYTqFvIaSKletAN6vR8WlEC5orQRKSmVa3DUqr1wgcQ LV4VqIasZi5HEQ83lvGImGTnXeO2gWfg734aSAcILpANHeLRI2hda2Mdeytx dJIIgbgaJTtnWbipMAM8o+zVYjeKjhaOZ9MY2+TygcLi+aETavSs+YjB/tjH AtSsRpgtpXQSWia4tme6zW1Qgcrb/1zTt+6i4hKHoMNLGNC1eWWDAJFbQAqG VnE6rWD7UMhcLa6Wbgh8IMayGVvwzvApw/UAEW2rCaFWIAkeGG56gZsEreiW KMB4r9HQS7j7Lqy2ZaVte9eLONy6oXszBOlv0wLb8GpzFPuQLBAyWl8vsZSl R3iDeYUw4d4awJFBQKB/j+thj0gYobebSAg4qVh8fTfBjl0w5y6aOggD774Y LkKFVXnhEWc4h6rscIzPV7u/iHiXpnvDS4AsGQSv+JULXqHYBBdaHy9hv7/Y 723lCuDo0fCry83x+epbyO5wOAzC9e0Ffkpf/vPtV8g3Nt03PgrikCRZyYJc 8IbVSNf0Kg5x9oNwNfVMuCK41s9kdvIui8s9G1fzxhO2yXuleAAMiJl1eSYz PD47BNB9loiDRjRCLzllOHPNzzQpjZznDMVRTEIIFcxDLCq70ib7rwiuvhry jtzVfdK6DLAWg1wnWevDSa+ClpbrFa9mYaCy4RuY7HFXK8vA7k3jjOAj4hWJ okQ2OPvVxeYp9IKA03tNuVI+K7WKITemU69lFI1YJofhqQEEHnKLe9ziKIxb tXhLe4tabWkb8p2PeXvasIUzLYPhCOnJQUKu31Ddme3X3A33OHjGm0C9pe02 GxeaKAhXx78rzu2w/vYUbhad11TvrSxTN00f6VbLup/BMzMnMhoj/uvcas5U pNHcpYkD6QMnXPM1Z9yWstAlH+n9VAsYfOi6fZ4cWNfjn+/8fJYW+l6Lroao W1Lg4ySiH+v1DIe3zNxq0+jFoVF2lg9j3VG1HNvVkV+x1tHrPYN7T/eIvAA4 sprc0+ma2ct33iFicMEzwSXZ7skuT71JRT6cxOvOupgfvNp0pCHV8KveR2rd 6AP3Y9KR7S4Efj5ZKZfZxh8037Tn1g86/F0dmk6Rmv8YA7mkLex3nncKyPW2 gN253wFCjsDT0OFA52kYV5L4+iU9DxK3PeTX8LuqX5Lx1KsJ8Te/wcPu/u8N oSaXvalF+phZKPWqz0BL96fF1wtgC/mYdE5XB1/1H/LpCp1klte/Oode19O0 cyDRtazKQDC9vBKQexOoZWs2TpI/mHu+YPs/jas6OLo/SMs/ubIDXGOXatoh 1Jo2aAG/lTkkCuG38Qs0P5CaaDCmwRIjL2g2HDIJI1BBimKdAFQ/xYLBT9I8 /ROm5qqD4AszT4IksGIuTHAd8sk2AjMDqJuoGFxAP4o+yqO9I3SEG6TAvVIj Gjy5caFBZQscSAu7ZfHAlNkjfXg2MrwaAWGzEayaEpQdBvIciNsHNJK6a5g9 0XM/ODwxGayiuXMFAohDHHyqQKgcTupBhwul/iCsJ6LwAqYbLHyzA/fhQz9k QuhzwKeqOkjEQypkKVeYJCwEFykSou5YIC9EubGDmgGJgQFJQxIsv1XKAPcZ LBGMO+H7AhS7IG/LPCacPdCJRbvbury6RanpQRSTp70Sq+jCNEb8wTcjvG8T ucizxCckIl78wyq8LA17AnWZQcA6QTPgPmABQ5IxO25QRBigA2ogOVW8rFuc hul5HgJyCjqEIUKgMbjxnCuCQhZClnd0g3hcM5syMfB5woHjw0oEH3YQQcQx wmTDv1+6A4CIx6ljB6oLSK7DpH18SA0TwCvrv3UxRE/inQD6vlIsGjHUrByY vV5AQ4NhAJZsSZds/skleEmZZMlTWbdyCrPn4cT26Y4rwjs7+7YA2skzcwVX 0klX40lfjIWXuEYroiFSqANfDKJYqMVkQ8d8nECeU6Kj/J05dMjj4Y6NIyKj nCSkvD6L3AarHBdifDHvixZwFBlqoIKVcxgFSIAEqMu7tEu8VIAl2Eu9/Mu7 rMm4yryv2qE6G0eE+yTuoZ0yQ0nENKUrarDD7A6EA63uecVrhAOGxLYeUCzL ZEN7IK/Cocp1K6bMpExTWiAP6AUCKqZMc0zUlAVT+syuUrp0QUjca8sOHEmh MTtNSAFyfAEvOLuGucu6VIDjTE7jTALjbE7kdE6+RALonE7kZM7nvE7l/qzO j5gtN8g0nqkKp2gIPntBrbCiY6I++SrP8LQc86q2qOCJGbIJPsgy6lNEJBC3 8YGjpjjP9EIhnWjKo5mh41LP82xPVaqndUkj6+mEkDSWl2wlrylJrDyEMzgK SUhJhqHO7IzOI9BQ6LTODf1Q6cRODZ2O2vJGZEyzKPMy+ymroFrE3lrRGG1R LLMeNFPR9aKdOgQXY2RD3SQWwITQrolLfKiOGaAGhvHLvFxSvEwCJX1Su3RS wITSBJBSJp3SKIWlyGwXYdMJw2xQICXRDnIlp/HNbkCBaoiHGOAOQzIYEn3T uqRJI4DT6ZTTDqVT7ARRD9VOQSqsIUuXnFTK/goA02BhyekcU67phSkyCid4 RRlA0oLBU+V00hAVUyQwVEldTiPA1EpNzleqIxndlnssiGgTnmHB0sAMnUQ1 DhRg08tAxf7oF1R9Uua8UlvlUCOY1SmtVSrdy20K1W/5z/wUt16RVGwi06Lx kVfQgm0oA26gAaIkVYLJ1Oek1D2tS2vN1Gzt1CpNR2cB1lyRVAZ4y4tp1EWV BA2jnYqrAdiMVG6tViSgVmyN13ed1yOQ12711tzpVXK1GFb9ijRRP4asgehA m17Vy77U1VTVV9xhADrt14kxOxcontUcR4KFWI6ZSZmMSY11SYZdnoflzZkh UmcoCIfqjoulo49l/htwXVkhmFWMfRiSfYdn3R26ogFITbsUyJyWNZovQ4FJ sTKXJQZObc6Y/RgnONMUACJvcLMaiFZkXbGJezbLQ4vgUcnJuNpA467KqtpF sbaY2dnL6VlhgLPpPNqG6YUWKLreQQ5eKNh0YzIyxFq1I1Ta+FG30rAypNsT AVuYWT9UINvIENqs3VGemVK0ZRi1ZYFAEIiiA4u3Tdz4Kc1NeL+0wNvSwNzL 3CyJKAMUrQ3CVRmPMiTu2qcn8dvJECLgSilOHVeRlZnFxQcJ+E0OYMqUfV21 sknrmYYFHCvsyc/fJQNoAzTyQZpwsJ/sIZ+psFs1ZMWqCQSHOyZBqyo2/pNe ZByr7zEvQutOpquehvGm9mGl020ynpUmxMmH2FlOyVWY2D2E2auEpTRZnIXb U9PdIHg5KvKzPKuETPOCSkDBP9s77LGh+/Iz/u0o/80E5t1cYBQvH7w8SVpA dzrg5xWiTOjfpizP/yxgDq6Al5AuAsY8/UrGZKPKE/ncsg2swWnGKTAbU/zX DoDaU5zf9WUe+1VG02O/O6sOxNOHpsTHCSu6NNlhlSViOFjFBgYChZThSTSk swMnaqjB1TkkOyCoTCyIhVBGDGWYtvqGz6oDIjyfpvykP9OKHcI7mkgDKwrh CgaElaDg9EqD9RqBJ9MeBNIuIXWa9kUBZR0Q/tp9gdOM2gS7YcKBus7sw098 LtNkID/94cnjo4mjCVZIQTJqg11rZCQuAjtY5Kbc5Ks7PgpgvCziHHozTZSd QSELo2eIhNWrZBQuORLu4et6t3j4MdppZU/KNzU1HMrJBP4bvETYofWrtl+u 5f76JDyLnuzCxuTBXZjZ4xO4xjI0wz9Ghlgd5FBIxEneoxfSCQaLHWjq0hZ0 ZL7ytLdSpukLRv/75nHO5IESxgmyQ9NjZnorsXq0rLtzMAlQGhsTslz7ANMT oB41mLa6u08EuwbsTB7UJPhNpMqR33sM6IJMTIqCHikCo1HUZBfLo0rAY0R9 GmjGCaY9gcb9A2um/t85m8wtzudHeoUXG85M4wYn5CNXQDTw6VHDA8KXduch 2GSP7B6ZrjzJArqlgswR47d+9sVFyiWckzy+5ZeCHkeAFgWuErwNuDtOIoeZ y71Cfoi7mmjaTSm2A4SNPgJpqgNQ1q0aNhhFBU6ipAoxfNSATb1UowQAvbLY 21wXek1GpsRqbE3seQbTYsq8viwsJGQHi7TCvqt0bulETAV8PmqLSmqzXGpO mmLuemCCjmWZgmnAW6bGxr0x1mqGkGwB0irp8+srqqZu5kfMQgIjkoN4qGkX FgI7xZmZJQen5YuBewGUrt9sRj2N0+f2WzcWNOyZjqYCSyiOe7Xj1lx1/iyC bHvuVsbH2nxjNKjMjZzs/1szy3YjzQK2EVbIQrvBefJm83ogA5acrWY2U52m ia423smn4fxTI9AjU6LtZibTLM2Z3K5dDRMIFLBdGPjtlF7DF5Ts4h5svibn 4S6i5T4lrfxg6h5eTENwEjq/Meuo6i7EqaboqTHqXULq7lZqB34uqHhleWkr aMLNaFSlVla2ip4wWYNvq1Nt3mFHSohwjR6cBbpjSDOvV7FUnBHiVjVSLVjX Al9rG8bwnNulGXzpKO9saKRpPOaksXaDbJjyIzpsJ7/utpvqlxa2+5WcfwQE EXfvW6TsHOSr/5skUchqwcVAzpZnBX2xsIRx/jMIxExIwNIe8fdG7RcXm/ne hpfgqCUwomHLzLk71h9w2EkNmqRVWqKsZpKW3xZg0xFEbByD8iqKnbuDXszb xOnjwg3EPpuTnMOboS3/dDXycs696mYTdVAP6mQ2bkIYoDTX5zUv8co+8ado Mjkfb6tMJpwmxCUKIIT8JBoPdIVKbSDmnVjQnh21RVA3spoVUlqVdGj+BjXt ioGNXCZfHk6PnhG7aClaZC+qWXV4XKAOcuE1AXVIvlRbd66+8KAUIqZMSDfs wZr19jN392q0caf2bmCn3HIfmIuOwzDr0sTSPhoyCDivOdZub30+7Wcf9CPU CSXSiUzoxJ5GpRhO/rweMNackVB0oAnhNM8WCOSnBq/gaTB8d61f2zWBrqzj acEy2OQfvBoZyimcF0ucX+Cu5rgaEmF1Fm/BswO6Kq1JwHSQOoOENM3PAqkL 4Kya//nx1p8I+qodTKQmznfYEVRQVAXT5vX45qtXRIUvyOiBKuse5rIJEFed 6QWlzYKcpWsvuE+vpZsI6kO+iiAhuq58U91Fqi7M00IUFBvBD2PtqehPQDbF NwN+nkUC6qGG/CKDkgO+OzNv4L3PqtrPn5tBDMo5b5fRNddFc8xed+K5BrNl ps1KKKd6w8xMI2VFBQZEn6zlpoZerfuQxoK8H1op8y9iJd7Taa/jP/7t/rym jBPN6QVdFdcXnggTQUuaEFhqmlB5RAvOSRxPAxMvsbneqmqKG609NhPDMYD0 Er0ZIXbUK4DNaid+ZYFAWEpP2oP+PduZ6ReGIe9UCABy0movznrz7j8YimNV HOc5BCvbui8MD+hZkDee6zvf+z8wKBwSLQLB4VhcMpvOZ/CYFECrIdQkkVBo uVutNSwei2inGDodMx/I7jc8Lp/TMVJlPa/f/+5U/hOWBAPDFpfCIRfgIiOH FIqBgdokTKQBDV6j5iZnp2fIikrAJ2np2JFBpumOYBaiIeyqLJwJzcAt5eQt m82s7y9wMNCocLExCPHx1YlFl3OCcjQQ21lu/hp1m7T2Nne39ze4ZusEISxh OLrGI42lpHVAO5tqOn29/T0+HZpQck4/3zgKsfLdq0XtFsKEChFiO9CLIMSI EidSBEGAQIGMGkUBIbACxwoBHwEFFAitIrqGKleaQenyJcyY3gJkdKixgIGM /0AGmIID1bw8JckxkNntCBKWSlEgNer0KdSoi+BdUmjpz44VPm8AxbpnqFRv Gpc21Bj2LNq0aolQfSghKYEeWoOK2KkH7FptZLHl7ev3L+ALbSu0DXVkgJJQ GQmoUlyAwK4jAXBNCCVh8oCLjCtPZnFLwC3IKjhnvohwZBG8gYUhbZ0Uk+um q2fTrh1zMIXCNC8W/rgF4AiBSI89TjiCM+fFKTQLJFsR9zfvxR9XMKc+HGNG rMBv6rQ7jRmOorY7cXc7/jz69PdwVz7B+HUqkZZCp7g8PzPTR9oFuDte2qcf SRmAkFkAUGWAZvkxoVoHCqj3IIQRSjghYZEcYNUJSB1wkUiTZcgCbxLMkIRn M2iYRHH8RdZhAKL9hsSJomDmzogsrrggeCO8ggiFPfr4I5BSUWXTWJEEIIVv Ip4xwS0GKHlAMgFmmOKAM6AG2gAvTpHUfjQu+RaMXg3B4AWEMLCjg0GquSab baIzJHcejeLHBMfl1hN1kdy55ZRgIhhcBlKi6GeeTnK2VWo5fvCMF246/voo pJGWcuALKSJa4GU9GZfRnid2iakRYXJJpXVuzSWmEGRWAAuaJ0n6KqyxymoF e6Eiil2nAuB6qKdUgmrgR4J26RynvKIahKoCtfrKObM6+yy00YIiXKBhMmkk qZNhCyafgwLQ5EXuMHmRlr0Sqq0kxuKYDQiMPiMtvPHK+2ytFdD5lnshLfZW JHIKUJNkKYR0FRIXHalilsJmyx+C+ppA13fsflDOsorMezHGGQNZLwX3Gigc QpFkaeBGTV4iGcj4HeDOfMkpofC5y1U5gIUQ/5BsMxW7qjHPPfs823LPCQYP ai9eUoNbqKCQkbi7nPBndSOiIPQK7lDVHE3B/r5mE5Te3awoCF6I3cXPZZt9 9lksbIBqSJ8V3TZiIXGGJYuXHSaZvSlaQMzBdDdZ9JhgT6wzj2gbfjjieQFO mNfAZtB4B5i1cEt1695AeJqJa745585y6bDQS+CMwdhf7Nw56qmr/qPM7aTi xOhlomnm6rXbfjt6JvdLXBOxX4Am7sELP7xfLVThO+nEK78885AiX2bz0Us/ fROoQe7N89Rrvz33PrQoZ4uLh5N99+Wbf/7aGXpMD/nou/9++VyuP4v4amPQ PgjNwr8//4jLb+0vDra309gFf4s6Xf8SqEBHYUYzWAmFZpL0G/VZazuPsRkg ShMlhrUDVQbswEAW/ijCEQJJV9h5jNZOaDB88UkJuvtTJ0qVjHBpRGQW+KAG KMYF/ZGwhz5Ej39cJp9IHMaGE2zhEHszgFpcbw7fswnf6iMimhUNhxlwFwJ/ qMUtrsUPIApZKkpUnf9NgWZhPBJlGOGcpTFHRES0lCqseAFWJYKLdrwjWnZx JTCyCBUhoWAZicgCvKlxMjXRyVsQmSlEAUCOOUuEIcSDx0lS8iXhwkBwZsYQ T3nxaRwSHyM0grWOIaGKgvtB6cRWyVWyMiK/qpN7NBOuPyLxW5lh2rY4IUo7 vNKRFTgTJIHXymESExy/AlEKEKIZWmpIMocJV590qcjKAMeIFPBlBTAn/sli crObxZhlMkpjxjv9gYyHkeByRibNNnbMQsWqADYtkEqyebOe9pSFFAyGis+I LCSmYWEzQZOdgb2OPNNERUY4csNTBgGYdDTEPSMqUU1UTWRCXI4Sl9gbgAYo oQQqwLEWsUsJhCuNF4inPINZx4mytKV5kJp7LAUJQ33MauJKztRCt4mRUkWd GUDpqkynSpcStahvOBhiRDI3hKgiEw/ETNyamIeRjiiprVmoxIqgw0gatate DYPX7PcBsX5ipASIpSx9esQtxUYIdPwqXOOKnmWSFBuVk4BShgAGufK1r6sR a99c84/XxEY2Dd2mXxOr2AcBdbGOfeyEGgvZ/slS1jaSrSxmM5uXy4qAdpr9 LGjTwdkQNCq0pmXlQpiqVCiEBJS5IWQdRuuBVp22tpOk4U0cWIVQuLYyJqWD bDngUGYh1rbGFSGcuPO03gJhfhcYlVAYKoZ5ZvG41t0fpVywCwkygbfXk9xd pFsFzFX3uuY1H8eQpM6+vS0kkmlBh+7E3igxzr0blG9rdzJfqY4guBkg73kD /D6OVc03zrEEuS5jGgQzhmkJBlMtYOic6bSIcsIBEe++p9GcsBNYmfyTnJAl XitQN3MCPjH3OLYijIYmOyx8z4YZMqigaSahdJJCQnnDoT4lRYnYeQ5GE6Q+ EWfVDcNVKYqTTL0D/sUGnAwD6aaeAxeCxicpI0snUhZzYyRkx4LQ7TFSQvSb lJmRkT3w7wa0qeQ1M29I2BiZGTfoDugCIKF1KpYJKUC5LSOKYV+Oph89BCU4 hjQHaOZAidms6OEdSJY4fU4mrboiOttZAgUKrEC7DCAAjjkVPAY0fw5MU2CZ mQeH3sCRQ7joVa+Oya6xBElFppBuYaXSdS5WA0MjHD47lYif9lag7aSuiOlB Z6w+tupUbCWaII07zLyzOgskoIRqhNfa8fWg6Bzsd5Iagzc4dYPehexxc07Z gbQaUgEK7Tv3IpM2WqK1i4PtcoKaRrk8FZH5YI7ikrvfZjN3EdNloMOo/tvS GzV4LzD1PShvus/zLrjRQvHGgXPaB+DmgKr9rfF/U6sCK+4X6CBu6wJlEpkO iTe/PJ3terPgwkeqWaFxcHGMl3fjNsdY0EJVJVuurB18y+U/SZpgDgqnJlWj sLguo5NtXY0zlduFJYzOXxDMHNX8vjnW5wXVUL3nRceBoYJ5Z0usICTs96Fi +EYx4ebgYoUGcjuwOGIc4SSHuSSoetbzvjyy8qQ5RRCg1pL+tSLrvfD+9rM/ H0xsWRTO8I6/o5U/qlaLj7gRwLz64zMvQpw+TeD5XsVQNS96EoZCtUTA++WQ PPqoEPACBIzvBg429SekFrb6OJLdcZDaz6yW/i24n33ZjJcowmsi1YjA/OpR Eq6gyMy7HABvHTKZ283kwflDwK1GdPv3zgBfDHyPFup1hEUTJx8mQ1I8C6dQ aiNEMw5Va3aEc18F58rFncpdmfxJQP88dF1e4RfBQwlT+b1EclmA1ByG3UGf HFQUujUJd7kf9w1Bdk3ODDzgD1gfH1CHBULL/4VAACYC8g1gPgxJLtUVBdWX 7OkNZ+xXflXG3mANC9oe43DYnYCKe/VepthXfSHFPwzSe+lgx6xgCxIGD35X x5HShaxXEe7ND44SYbwFClIYD+5gE8ogsEwhfsEWKsCdtHSgBwoVo4igSxzI xAGLJXRNiDmHheUE/obxzYLtzr/gBLmsXWXMYYWZEYLMHYI8Djxw25O44VlZ kxouUQ1cSU30C2eIBoLpIdWknYYxzTSJGthpAIHBg4G1CIPVYA2ERhsmIh0O ohJ9D4Ilou68x3HolCgiYqaIxnFUTnJYE+vQxRJilSlsVcWIIUW0ha1t4Vnx WY5hxI6t3IYcBtPIWEAVh07kE2Os4SYdS9X44RGJQvYtHxVIwe6cEAtcB2/4 hjJiiX/ciKD42L6QjEdhR8zVlHnwnGSUjDkqnRxGB62lCMO9DBIQzEbwBj1u yDIukayZCBWUSmlAmZb84nAAwCsOiJpgCTkpxE54IQBiDi5ORFtoBpPQ/owQ NVyX6Up2/Jq/EIyVeQzDHIw+HoxHJuHQ0KC9pABCgRS4xMU6JJW7aaBVFaQy kiQRqVe5PAKUmVAvPFmWPUbseWSYBQdB7eQ4+mSmxaOf8Fm/rGSWkUtNosJN IgE38kdG0iSX7SSu7IKLBQl2bJA80KIsjF9E5mLKiEvJqF8+9prK0Zu3jJym saVIZoISsdtJQmPkLdu1OIkytseFAIfHcYrH1CXC5aS2hRq6yJlrudlBuJHn BdqIgKW5GA2f+cbfRImRDKYEmcVlypskgKSRFNjkSQhmQNEEUKMJ6VQjVZ7l FcLslKVE7hrC9NSKNBxb/tlbHtytzeO1fSan/hHmbt5lOlrZJXXMGeDkBIBc YFGOYP7mZjanUkYcJg4IUtwIBjSao8WUQYpMdfpjJuXKYcaHbVJBSUkaINHl c9pAeVbnefZmy21ghMShaUqAKtrSqOEVa2rCW8GmROjGnzBMM46nZ+Jmrelm tXFaSGpmtEGjGeJlCjANYRxnxSmnOOFWTtZJehomy03nQqyffUwlUsDadmrS igjbIk1mVwhoeSZEe2LogqpncHRoLaXce47mg1AHG0WRt2iFKREfKdATf/Zn x/mHkdTmWvYmga4bwoGmb15Khr4gSupZhhxTiyZnTlhjTjCnDSioXcKMdNZC edyVYBxhRXYNmJZH/qmAZ73F2yGF6VzWWoa2KZoyaY1uzEoSQ5xVwM5NgEPe gGcFaUTgxohQpJFWI4I+3BEV6It6TJxxaWFCKTSWXGfSKHLS54BQo2dAJ3q+ qIYCG2LGmQ/aaGWQ6RSdG3yBhmNKpn5UpHgeqX26gEI6anBe5iBVpcPZFHxO CFWVIADsKX76KKBqXceNyM4V6oWmXJIa3KJSZZaI2pu6qF1CanW4Fww1SWIY EnPU5Idq1EMQy5Y6J6d6KWQyHcFRIqmqI2iQK6p+y8SVZoyYXbx1Jtwca51l qLyiUcIcKq6KqoTsqufRJ3f1abAqTscNiQv5o4Ai668pKrtphcFAXZNu/mq0 zmA/ltm1QhEvaokgTacoYphN0CtwmoW4IiZV+Ms4Ps65flzDHMk46gbDKEe+ CFqrGqpPVI0+/QtUgqtd2qxHGEfO3mrLcaGP+Os/+OpqAuvAwkvOCV3ToJ24 HF1zLJ3ANZ3QqRNFGuTTOBvUnqYEXS3jRJjrKBS7tkPl4NjXmaRUFl0tdIjg uYjQxQXUUi2wPN0MuA7kLC0pFWvd+lyZRt3DkGcgclh3PC3RhFPnhaYZoobb GuSDEaslIJ31KFItqCaFEK2eBmx+BgMPJW00bB2YhBhwfGLa+ZYKuN33hBNi VOTIxOGfENDoikgmlN0Lcus0iokJcZg6KWMr/l7rh/ERHcIu2V0i+MCd8+nh JD6O7JJS1xmv4unhcGzaKRJQGr7ub+DSHq4iaiSV6iLj1zViiF1GGpkRv0KI 5VKA0QosEewV50ZI9wXBTtBJ/VhP+5LA98nFYqqdpnhF/r3g/PLvCOzveYyU n3FGfFxT5v5Cxq0v6uwfPuCbCPFUP80JYhow0mqua+5QCCow2jDweuTvCI3U rcUHRonlNmCRBqcOB9uDAy8QXUGY6/zBTbBRmM4wDdewDd8wDufwTVhIJMCC Dv8wEAexEA8xERexER8xEiexEi8xEzexEz8xFEexFEOxyKjtFF8xFQ+IFWPx FbfJaZAGgxHDXowx/hmXsRlTAw8bACxYyBm3sRu/MRzHsRzPMR278RnWMR7n sR7vMR/3sR/7MUz9sSDncSAPch/LCt8ZsiIvhRZ0TeksMiRHsiRP8hs/gCVT MiZnsiZvMid3sid/8h7HS2vkR2GVsimfMiqnsiqvMt0QQtfQkQOwsizPMi3X si3fMi7nsi7vMi8fgSU/QC8HszAPMzEXszEfMzInszIvMzM3szFjDPraL5+u wENtbg+twC/37wnbVjTzgP04sglv0S//8jaPWzdnRQu88i2K8zg/QDkj2znr gAuos+r9UAC08wMAMHbp8xJMwjvHsz+k80eEIRfhMznbkYbRQXTMMD+X/h9A 953z6VAGJ5BBW/IdndWFKPQJQYIoabPoPfQNxIArkN8PVbQ729FxnKMVzNom 4oJHax5I028aUJJJc5FoAkJKvzOfHvCkqMEdmfRB/xBXgpRj9J+BfMZnzO4z QYb1UA6HeEBOZ0pSaS8EmcZ6fUYEIUZocFdRZwJm0E2AxfT/+nQHTDT1ALVF a9FBwiTdZdhi2JrT1ViXFQdufa8GRPXcbmO+qpBb98Y0BuRB6Upb881b6+Z1 iXVdUAKi8Q9an/QPHeSB0EdGr1UZWko/mgUD/keu1kkZroMIE4z4stAYwZyV fWiVYPTqzpRKgxZij3XhwsAGQJT7NHZQkxAv/tYIhvWke1ihenlGkfojiDBo CXR2wTCGxJ0RZoyRFAVNy10vbjsHRryYFRpXayc2nog0Bkj0bNO2Y5OeJToN 6hpKaduBvpZm9urJBuB1pZpRHyEmpRlosUQmq7LQ+NZWdYMCj850MwjVdtO2 PX+3iZLas5E30EJobnxJBqg3p0XarE0mXCYcei/SgAvYfSNDfuv3SO9n+XB3 d4+QaNpg/tKZrcgllXoLBij4paCVZsxZND34o57oqp5YhY/Vhe/DIFwwHZk1 8XD4f582t52KiNtLeYuZX54jimcCaiuTwRxJi8N3u/14iLffec24B7BA1/jz +AFpf+ORaObpuQQ5/hLK5aR2GuQcOdlF+BWKnJOn6sJIuXlReeTUuBrYYj2f T21vkWhOGcsCZaJWC9BGJc5S7nAXFL0CaOKldm5y6hGZLJ+D+WHztCm0nDVI wAdyFfrcuRaJZluAEaIXGp0+Y0YZ7YkTN6KwGHN2upIGJzpyOsSFNaT39DuY RKJdelojNE1U5dF87IeGVeFWhiK9bA14wFcScNGsQ8+NqucFHeMKjdIgDbK/ tGPB+fO9A2rQeQJzD6bjuRS6TT9422+8IDWBxnQPzfu+IJZorwrm4AouVVSR UpJJe+xR+z9U+pYTU0MjQz/fO7gfG7xToryLVTjTeofrNJv1Ox/+u9ps/pU1 d0+2E/y7vzopeAbCZ/j+NLzDyzjEf4KVI3wyqO/7WPzFu3oFB5CcyzsALLz5 gHzIv3nGe8LGczy0C4/Kr7x1Gfx1lvzEV3yt0zyK2Ty5XznM290rRM/M8zw3 t3wM4XzOZ4BDofztFL3Rn5bP8y/QB71rlQ7zQH3UG9UNAt/U15eMWP33GZvy aP3Wu1QDmcb+fj1+ib0L/JLOOL3qmP3Zs1QhbzYJS4Pbk3WJeTzu0H3d31Op VOc0cQDbC+Hex4DxQdLwAH7g19NN0+gHHH4OJr5Ik5fcc47jP343rXBPDJoH UD6wWL6N933Naf7Oc/5XTeI4TT7Sc4Kkkz4M/ggARP596qt+V7kbcKDfBoj+ y8v+C9T+098+7hfV1gyZ64+8L/w+8Ad/wNvO5hd/KxXKR3WY4b/+JjB/88NX q2T+5kS/9K8SL3YIeyc/N2j/9rMAbck88Ye/RI15ryJk6GM/RSl9+lPz6aMO +Lv/JME/LPY+BJwDaLUXZ7159z0Ij5AszRNN1YBhvheO5Zmu7Rv3nj3v/R8Y FA6JReMRmVQumU0ncDAwCASVgMEwgEkmTy+AZFiNyeXAp/VVr9mb3aMdl8/p dfsdn9fvwYFDoYCEQOLshYsPyExxEcUjIQExUhLjbdLyEjNTc5OzE0kKC+sg CqaACxA1FdDzgtH1/lUjQUEBktXWqfJWd5e31/cX2EOAgCC0gKr0VFV199VZ EaNFljYt2Lom91p7m7vb+zsxhOZw+9m8zOKRVvYR3L0i+11+nr7eXptc+3x/ pWJ2GuCse9fiDTR4EGFChV/yXQsxgF9EEhQY/LNIa5aLhboKbvT4EWRIkRQa WhMhEWWAdSvVqRvJqeNLmTNp1uxVMtjJlBEFXAyIUYFNSTGFFjV6FGkcnMB0 7uTnE6oCjUntEKV6FWtWreMkcGvqNGJLdmODbo1j1WxatWuRLv31Few+aVGn sn2C1m5evXsRuvUFN+6+n9P44uJRGHFixe789gIc+JzYsouT4KV8GXPm/kmN eT2EjHKuVM1GLI82fRq1F87NPjslnDpIadizadfGsVpX68C2e8jm/Rt4cJJd y+mO6+GfcAu+lTd3rhn3LePHOVSkVhc48+fbufONbms6ZA0sawnX3h19+q3f WYUQEx4shsECsx9Wfx+/XfaeHsPnZyG0n7Cj7bz8DDxQpP066c+/fSqQTLL6 4ECQwgqFUpATBht8Cqj5JiPQPgtFHPEjDDfRcMNzohKwGtgKJBHGGK8xURMU U1QRQrLame1FGX388RYaM7HxxmcECNCnFlPrEcgmnbxESEzcK5I6D8vjMcQn tdySlSgvoVK3HHljkssyzWTDS0vAbC1AJbGc/vDMOOXUI81J1gwzud/InJPP PoOoU5I7p/uwtj39PBRRrrrQR1DdqvjgSsUMTZTSSjcANBLPGhWvA2laGNCm iTAQlZIsLT0V1RowRYTITf+LhayjQiCAFAyoIECcCyZNlddDV+WjVVdfvSCq o4qZohVUNNi112bl/HWPYIU9Jxq63JRpAAm0sEAALAhY1lRnxXUWWj2kndYc YnNcR6grsMgVgEFGABfOce3dkgpkZCg3j3PRVbHDFYWKYhQtRFiF3nsVdpKK AYiBqBBDiGN0hH91WzFJUEOi4gBiAOC41gyYXZjk39zlouAY+MXDX4vTXVcs oQp4l5j33Ai35JwN/gRlgIYBidiDle/Q1GXdkAyYUJm6NcCUUToYWeeoTyPg ZwoEqFriRR0q2j8r6aspAEAMkODRm+uVGu3u3NPXagGA7kBoO7hucN2jCMZC B5zT3js4KqYQIIqe4f0g7jrm9q+FnoDSWGkB/igg77P5nhw4v6OgugBc34Z7 4q0P9+8ipDhGmAOoKT99LYIlQOVxlTs36fMN2T1qdMif1hv13EcjmBgSsj2g 7KBfz+mK2OE7knELvl6o9sh1fx42gkP2A/gthmfKD+Mb9MC6T5l3nHSzoR/f NI7ZBgCLbQm//q3stfevA/IWcs/j2yUnH3/E1g4ei+A51xp2FXvf9jIw/piN uG1zpbpf/hiYF/dEoRDu8h8HCkeHlg0wItFgwGC8VxPTNRCEIpnZFGb1LusB kHgCxCABAQAzWdjkgyGU4QHFhoVjTHADTXvcMmzHGhWukG4Y69BMYjhDIx4k AFEIheaSsToe9jA3xQNiirw2RJkU8YhZHAipXIdC7E0RTOQRIxFxp0UzFqaC cwDjmhRnJTIu8Ixx3Esa5bDGNQkxUiHBohz5WCL2/cWOdxLTG/tYyDn+0TGB XFObkreRPRoSkgOhYxyIpsgbAQSGZYzkJosyyTZc0JJgSdpIHslJU4LDk2wA ZSh3gkBHLM8epTzlLLeRyjWskpVOqc4GM2IQ/lnSEpjAsKUacJnL+MgnVgP5 ZTCZuYthfqGYxtQlsZCWR3css5nZ9MQzvRBNaabkAtbh4LW8gU1tnjMT3HyC N7+5EwqIMULyMCc66SkJdTqhku0UVBVfA4551hOgdEJkZ/Q5LX7Cshv/DOhC 63DPJhQUXS6cnT81yVCL/sKhTIDotBInxHco9KIhZchAWbPRaXn0mhUV6Uq3 SdIomhRdY5SnSlla03S6VDpShOmmkDeNRhKEpjYVqj1xCh737VRY/dwlMEA6 VKcCIaNLYCdSOcWBHfmiqU/V6m2K2p6jUtViGwgdL7K6VbPOIKpKmCpYqxrO i3TQFm9I4Fnpaoe0/iZhrWz9jLp0ZM1NvAGOdRVsG+6KhLzqtTUUcGNcyzpY x1qgsEeYEmLndjSAwPWvjX3sYyNrBMrGTqIu6QRgN1taNHWVP589nGWLldmg mha2UEXtglT7uYOOchKkje1ul9DZItQWtH1diSd0y1vjGsG3RADu5zpaTeJq 9rhPTe4Q8rlciwlstNCNbjbnSsHZZuir1uVazJ772u2WVomDE54X2/dD8bos cS3gIgYQWofinhe/YABExbrolfC+13gb6B45z6Ld/Jryd/w9oX/dC2Dt0Ze8 VTHwgSEZghEqOGveaLCD3/eg1s7hvhTmLRUyNwj1/k/DHAYjAFgrFQLf/mXC Iu4jIGiVrRN7l73CVDEYQ+tXGJtXxk8dACAAZ+PuZmC6RIDYjleIx7GqIcRB fuysekewG1/qu7RlcpOr+eEvRFnKg/WbOKx8ZAwkmbpbniI8k8kGMIe5rsQ4 gA1F0b8Fd0PNU+wpdt0cYzgbsWah4EL67uzfPE9xsX0G8p9F2rDA7ReChS7O odcovwIvmtEXPQHBzrdeb7yH0noOzXypiYQ3Z1qwZYaB48iWL1fj0BYbDvUA p0HqCgz4pzY4Narpml4zQxZlwUazDWQ9aztCeCxF2DWvzRoCWG+A1cB7db4w amx9ehhpQlg2s8877D9Zu50s5iXSMIuDbXM7/rrehiq429njH5wb3cZV9w+K ze5Kdznb5gbsvuOd33n7ANT2ZqWTgUIDE+yb3/3udpbBK3Bpsnm42ED4xAOr 8NL+uwcO/+aenStxiifc4sfFeA40rs9Ez+DjCA95uhl+opIXlDy2fkHKMb1y p44cBy8vKMdPkIE8KfDjNhd5yzWxZJ23exY9d+t1sEPzigtdsDi/Qb2PDlF/ xHM5KYc6b6VO7KqrtooA+PiVtz7Yrqvq64htsU+DXvbdnn0caddrjxXQdrfD Fu5olTtbCT4NhP/67mbN+772Dta+z0Llgcc70dNZeL5LlAKJV/zFGY8Jozse phwfTAgAOzgvT16o/oOPAeYRayXOd8RaLwb9QkUPA9KDnSynNxXkV8/S1r/g 9Z+NLwMQ2PkSAKDvtQ/p7T+Q+/f6fiLBF75Fie8B44sX+SSg+/KZX/lLBPz5 iKW49JXPgfpSH5LNh1v2Vbv9ENzWx/5w8adyDf4Zip+C5P+s+U3gQkj11f2G hP+l5K99+pdg937CzPgp/+Jo/zSA6vqvncZuDASwA/ip3AowhA4QyRSQrVKO WvgK4kRLAt/P+iwhAS3QmDAwg1qI4NqvA3OHAjEA+0Rwo0jwVW6Le1QvBXVm BVvBBWHK6XZAIjYw2eLnqmqQb27QAnJQB3dQIjTv8wpoCYVwTmQOxfDM/ghf EAlTIuweMPUi0Amf5CEibV8+0E6msKB2UK4CI+KQw922kEuWJhT+pr+kUAz1 iQwfADKQB4Fs7fBwSw195FhQIQvUZ31y7BcuLw5zaQ5ZSHnw7Sf2kAv9IGRA AfCGQxB9IQQLMZDKUFAeRLgGiRGBRInYhtWe7czA0J4skQrpUFj6jgZNkBY6 MT9IDF6oRxQvgAgroBJNEYwwcVO6T8DGLQHYbxVdkTfehtUiEQBqkSRwcQx5 0GUgzhE28YWEUT1ILHw8rRtuURlXSBfRxQ4DBDkU8eekUTmcrWZCJhBTLBu/ aRvHKxzHAxxbURybw29WB61IMRKwMR2NZ9/W/qiAoPEM47FybMgL35AbCDEf 7WgfQwn43jH93qngAPIyjgViFMUbDtIQoy+QFpIA42dxgBEi9+KBALEeJzGR LNKSEjKXfFAPNZHNPlIvpKdnXo0gJ80kLxEjLakbfbGXOHIjXdIs5IwYgrLG Vo0Lpk0mCaombXIdpWkRO4UXfTIr5EzYsGa9hE3YSjIp1wglwUqspg8qt8LZ po3sbKUojZLaeKEFs5KnhoEKNg2CSGArVUuxTvAbleor9cMeEQEf1fJ4ruYt w7LESiAuP2su35F73goYUfAuawIZj5EvLSYUSgAmBfMmVUslg3A8aG8xtaIx 9/Ixw+N3lkxs2hIu/ivzs3LSQ17JMDcTKzrzM7lxdZzNW05gMN8rNbFwNVmT KlzzNadFzhrmXWjTNA+tK/0RM3XTKHizN13Fb5ZIcw5uOMGtMK/QqvgMOQ2i MdNyOe9Eh/6SMpfS3qYTpaqzmjzyOuuhMbcTNgkhBWrT4S6zIYEvDc9zHtJT PYVFXqQNBcBT43KyjZ5sA2TwAenTGuzzPgWlOcfGO0sTFUmvCS9AQK0qMbWQ QG+KJJHyQNcEJo9lP5nRCJHNB9FQuCq0S/ISWDKUjWwoX7RFOBs0DlXxpyKU REHQRPfAIFHUP0IzDJiGNGXPFJ8yA9YOQDWA/WZ0DpQTR1MkMn0nW7yT/j/F 0Bkf0Dh/0Ps40EhP60KdKUlTRIm8029+hkHz0T+lQekSEQJjFI+utAmQdEtB c8h6VBDA1Ef5MgHKVP16shfxtDrUtAfYtE2F5Ul70yutakpXUnn4NAf89E83 JVBfMwCt0x311OcYElGjkBs8c1Gno1HV8+QiNU158lNnUDE/UlEz9U421VRN IB0K9RlV8gUmij4b80ZTlUpQlVZPAEjpi1JBVREX00BvVVBsFVhJIFepSVJ1 9VjDaUIn1P1+dVjBRFifNQXESFWRyVWl9FoJNVuXz1ml9Uai1VtNwD/JoFjN NFTFale9L10ZrVvDtUHA1V2foVzv9Fw9tVd5/rVTg3RZE5OzatRc4vVbPRRg p2Nd7FSxWBVbNTNAEVZbFbausnNgNwReI9Ycds8OyXVd7TVfkbVeJzVZzTXf AKpUKRYyJpZkByVjPbZjOfZe1fVj6ZXcKBRA9nVUn2dkTxYsTBZnqSj2GoEl HbYftxVWhDZogdZaOTGLbnZnU0JnlxZxeC9xyMBiIVVlWxZdX9YhsVYjV9ZY fWJvlNZpI6Jpw5ZrqJZlN7ZrrVZjzTZt0RZkL8s8d4lZ/QRsyfYcxtZuB85o IZRhF5Zoj9YfW3VvV1Wm+qRu89YZ8BZxFWlMoZb3UuBt2TZyO85luXZyDQhf JRdmMak2oBDHPm1x/p1CcUOXKzdXc7PWck2Xcq82dVFXbasWbov0NPLFGG3R X/uFdJlWYHNX7ho2cBP2d303SoW3boB3eMfSLq5mhPpnFi1AhypStYITqbSz Nciw8KR3p6g3zyyWex+X7ObVdROtGsP3dLe2ZZGXLX7HD83xf7L0pZJoVguK PZEKU/fBeo1jQWFqfneqfsEof6eDdV/3bPnsesDXfBMNfddCWShgyKCofaFX BPoXjPZXf+FjDncXMihYfyUYiDh4hTQYg342eK9nUP1WMxPYLEQgZIoxa9w3 pyKYrUAYojzYFapwOmR4hml4gHT4fXAYg7p3XGEYV1N2gKvJYPXCfMpG/hZb 2BuWzIf16Ym/iYcVwYaNI4qleIqNJ4tj54qlCYQNuO+OOC98zQIILRBdONZI oIuNaY1ZaYvJoIp1o43d+I0Pp47nZo5DKY8Xge7E2C7IuALMuCrRkXpi+I65 5pDbk+b8Y48VqZHtKJFd5pEhuY6B2GL9OH2lYHAE+YGvUY0jWZJB+V9E+TsZ MDwmeY1QeYpIeVpUeZVZGR0QA5ApgJNxDI275JMNGaxgWfb+z4p52VVc+YN3 GZg3RZjBSZY1GWhqGctuFw8E6JgxKJp7WGJ9+YaLuVGmWXuw+U60eZu52WcL Y5bRJwta2CzPGZ3TWZ3XmZ3buWBCM3DiWZ7n/pme69me7xmf81mf8Vlb9tmf /xmgAzqg31mgCzpwEAABJs6gF1p1GNqhHxqiGzqiJ5qi95mgKxqjM1qiNZqj MbqfO3qff09/roBt3CUSrRKlU1qlV5qlW9qlXxqmY1qmZ5qma9qmbxqnc1qn a3ridtqnfxqog1qoh5qoi9qojxqpk1qpiVqkEwMVEAhzTmipp5qqq9qqrxqr lbqns5qru9qrvxqsw1qsx5qpPZctJDIKSmwLnoit29qt3xqu41qu/bAN69qu 7xqv81qv95qv+9qv/xqwA1uwB5uw66ywDzsUJg6xF5uxG9uxHxuyI1uy63rO 6nquLxuzM1uzN5uz/jvbsz8btC+7qfVnvyTAZgzBHdyVm92Td8vAvaAHhdWi C3tGBpr3i57hFRWt5sbFtjfTrA3CQZAyMUAOmn77iyoVVWi3dqUjcGLbIbzg 6ZSgyHrbMZp7uZEbSEisrqmbFRI0FLh7EJUZn24p0Ji3G7zbzlI7AGCNdinE 2UDgsQiGrkUyGGpmvuchbEzBuT2BDcWmfrZBzuj6W9yhYVrB0d6SKTTAuLsb cDbgIR5rgQEgrctBWypgnJuYC/a7EzjUakxIH7ylAsbsum2BGAIhYqKtLAFp gmZ7xDGhxG9MzjTcoqhHfThGxi0vvT/GcTqtOC7sxqUkbKZnIE2iwilA/iek UH3h5VjyJSh94XLghQ2/G7zDMMk3J9p+PKBC0Qr8gMd7QXkjRgS6/BpILMZb HMj/pgTaksKdpm0wTBtILDYjxgD+GxQcAxWU3IbEhn1vAc7/4MTyE8sBChIv 4A8ZhVscJ9A3gcZUbcy75VYAgb6vIcInHM9K28/PIMyVmBCiSF5MvA9ShoE9 PDcs3dO3nGn028wDatDLeM/HPMKbmMgY3Rru5tRnptWBQb5rKNJhZ2k8fZyZ +USk8tIlXApAkWwSqdcHJyhl/axWPZBv/S9uBdhhJyjh181xPVvSR4lE/Rpo fWzYHBzu/Ax+vZzBI63jXMdLHQyO/RfE3Qog/p3ZzcrZaRnavVwUxvfNu4XM jEwbYNIK2N0hVNRtaibRNcHdyX3XO8HdjfwCWLjdwbQCMMfaCx6d5h196l0X vrQAJvIb5IzOxibHgSGJy7jcu71/xCEkwx3iEb4XFr7hldeBecHdSQwZ4n2r LL7Qr6EcIeIdyvvbKzvhM37H+afkZ53bLz7ogeHgxTuQi/4WXL4PhqEYMN4T lv4Ppb5gUr2eJMjUKR5Ypv28iyytTWHI28cNm37KNwHnqd4XrH6Tnd4WoH4e /0DSId7ShS3pbeqpB55qtiE0p+0b3FLauOGpH+LoRV4CnpPT0p4VZt7RlTjk nx7iO5xpyr7tV95h/oJSFIiB8Rdq5xt4wHU+8YWSVujB5oEBrR2GKk1CIMf+ tL3B3UOyEJZG6/PA5SXS6/nA8V1Nzixfqyxs0MQAwFFa3cHhwnPC0l8/338e 4L/B5UcIgV5dF2L/Cth++if/Ak6/2QJHzKPdKGvfqzofvLg/8Neb+92m53vn xGvIvFse8wsG8FFf/TPg+OlqwbXp/gEJ/D3Buq1g2+ccAkIAtNqLs968e1uE EkAQR4kSw/C17gtz6zBigkDU8c73/g8MCofEovGITCqXzKbzCY1Kp0zJhApF jUqHrvcgworH5LL5jE6r1+y2+w2Py9vWiuSGv+nm/L7/DxgoOEhYaHiI/pio uMjY6PgIGSk5SVlpeYmZqbnJ2en5CRoqOkpaanqKmqq6ytrq+gobKztLW2t7 i5uru8vb6/sLHCw8TFxsfIycrLzM3Oz8DB0tPU2NiFeNna29zS3q1Q0eLj5O 7vddjp6uvs5edN4OHy8/r/5Of4+fr69sv+//DzAgrH4CCxo8iNASwYQMGzp8 yGchxIkUKza6Vk2ixY0cO0bsgk2jx5EkS/4IEcIFyhBeChhbmVKDSJM0a9oE kEfAlw55vvg05vNATgszbxo9WjHoTKVBgTIFWaEo0qlUA658igHm053FtoJJ KbWq2LHscnqFivPG2aZd1+pEu6pOBrll6LKy/kvBit69ZPsuWvuTAmClTgcf aBWgBIsMOHKQkaBi8V3FGErAhLnHr2Y/KA2j9fzlsujRpEubPo06terVrEGj XFXCwA0LEl6T4bLC0oDZPEwckFzBMssuBlBm3ow8Duh3w5c7fw49uvTp0Fet +A38hoESZULIFmCJAO8dBQzIxjDjepcCM44nf8/m+QXq9Ovbv4+fsCoJ5g1c IWGCe1EEYB5wkvCXWwwIGphBeefBB6EceLjmEgUTDpZThhpuyGGHHn4IYogi jvghaBhZ18ViAaxnRwADoJCghQIMEEJkdqww424WWlYCeBkMsJ4eOOIoAY0F iOcjAC7uBuNuK9i4/kGRNY63ZI6R/XcDAVMmuSSMFVwXQpIXLHmkeF8CGWYH DnLp4g27gVdkkzcyqZiTL8aopItbzpmjmBFC2JlhWTW3VTFvCfrKWwRYmGIF WaJUwn8rOFjmFQHUGMJiA/Rn3qIZ+GbACpcemWmW5lWaV6aQqiBcAf/ZgMOp kaZappZpUrACp9ztaOuRW5hQoAaNFefrBFwEy8GaLZbJHguP1uiYkqpC+2Kv WMZa3KzSksren95GhWgGa7XlWSzeQWaepf25iSyB283QKaPEycbftAccByqO XqTb35ON4rTeHeYJpdZvGrgb6ov/vpWwkRW622wBXVixbq65HRsqBvwV/ogb CxgzeIGyMu6rx7ozIvuWqwEIMPCFKvarsMEAz+vnt/BdeNYGOOs3zFk7x6Id SzFuSm+RNN4RqRWWyYvkkt+tPONxLG93RxdIAimU0lrKq2KNFG+nAdYCaF3h WzQY7Z+L5o29sqi56iGlq9ppa8F1cCeW0tzRbiByWieIV+TaVkxatcyj5rCx p2KTzbQeNj+uFVMeXBVYz0zZBgBXr9TWcpJEsw112jnqtfTMkr0NOtsao/wv 1pJuKm+SmVaA+QWun2lA7I6yHHjRUDt999QU43nmvZKal2fCk6+9O3ZfCn4H 7yt3IXu3FNh2O66wm/549xhg5QJblvMMLlyv/mCduwUEFJgekLMZ/eKpuue1 YqeOz8W6UNcj36Lxb1UvmdqBgH/08x/1dpe2FR1gO4Az1vratzgCEe965RnT xBa0vAf5bTzra9gMCPY/2lkPALZxEG1WVLiaec9mOzMfTwqmQl8cinrjKd9h ZJGykFktBesTWLZUYJsQ1s0y/TmOuxYjxNpJAIQHpGAAYzKoChXwQknSzgie 5J10sYSHHRweyASoQLYpT03MG9l4JPa3FIiuiSQcYQmhmCcm6m+FdKTgSsgj RWLAZAOag0UO1ZeiGWjBRVbDUemEmCcrdW51GZuZj2x1QjkCUIR5VB8cl0hF BFrBTbGhXscEmTQJ/oKsdHagHgbJqEG1cDCQT0oaImdnRwpAsn+ZrKMt8dHH RLGobgRMZCzPVDY2zmBZEzzi/Ih2rTXOsY1PrOTz/KPJ6S3TikuSzKjgNab3 ifJHm9KB8E6ZrDJu0HO9vMP8mElJXKUrmoi8pTvhkUtX/NFRBUKaCmSZrt4F c5mT0oN2apiX/PlIUXeo0Tlh2UZnMq2gRzonNY3EtqnhIWFQsxF/6Na8SN2g TMmbYFbEqcoq1nNllHGkCJu50JUZ1KTvbCk74tmKedKqWUbSFPtipswqCoCm /ayZMVkKMXg18pVuhCNtTiVUJLKRmjvlaZhqk6lJ5aZeBfApgaK6qalu/hOV OiWYHVAyA1gSFaVKQmquhspGl6qVHDC9S7wuULB52WFg6+mYu15FAp94SmOw vCsCWyJFv8rynoPdK6wMANi5QpN+KgPQF3Y1s33pEAzCoitlGevRC9jqP/zZ Q1wXmL6yLhZAkkHBX9cT2HWudbXi8EIMWXG/E+boTRZwk6iKNAKAKmkGsdWY N8V0ByK9qoZ0wYtshVtbn7aItzqAGm/HJKqDuam3ecLrXKTm29nWkLjN7W6f PPta1op3GgLkhXHpx1kPnJcHAhJCe9Xb3vO+Ny9SWO8O5jve/Op3v/ztr3// C+AAC3jABC6wgQ+M4AQreMEMjsd67avenFi3/sEUrnA5TDumxOjWBUTzAuIs DOIQd2NUzmteZjuQKx4aRwo4ErGLX0wKd30luSWGQWxwtFFxPqFHMO6xjzch 44mZGGQd+Kmj/vUEI/94yUx+BMI6lVudaNVISNIZkmnVJ7gKiU6RsVKMqiRV GuAqSHDS05GoZMg6eTk7ONhTk98M5yVAzDuzUUtuTPXDCc/sw2dqjIGaNq0y VWvF27IVsR5JnDtjC1XbcphiWvU6XRk2zpSu9A8gphbu2JkGMPMNkWWM0cEG lkAXUtnU5KjUHRopbfniNPs8LS9Td85sAS3OpIRs6Vzr+gUQ48/ENh3BxGxN WCwjTqnAk6srAqlw/l0rlrs8lbJNSnk3UCZk1iAzbFoX+muKg97odg3ucB9M fnll4gfvhbsomZlTovonspctzUn+UttxFBWysgeAXB20qBX6nLT1LO6AVxpi tEISdkzYP/wuybUXXZR39k3WdgKAgT9FeAFTeNJ0Kok4PcKvwD++ZIJrDzsH v+SKdJujE2LNU7ZSFMQ1LnFiVdzkksz4L/P9oiyOFuQ8h7PI/daxWU6xZo3R 2C6JhrVUyzuh56QAxZEl9DjWEp2/dG4nl9nzrIec3BVALCtVm5a02QDstYb2 elQ7VphfeeL2biQy2clGhGLvywjVut1h/PMxB5KgKm3oXFByN1iL9m9H/l6m 3GOSsi0/rdp8b6rZDc9vXD11ZTq+u+VBnPfItp2myPqUltonMhLHKO3zTvSk RLCxqo7NrEh/+byxCtHLyx7zK1WfCRTt9Rmr2zctqSEXmgv2kgLo8Wh0rQhn rJ3E1vo/wsewYz086dlLX8HGvcMIgrsbhdv2bK+KDaxOyNkamG26Y1vu9duW /eECt7vhZy7Apw9/F3s8w9Y93A+EqOf6vx8GEI6//3nObPeXVv9HgAW4BLFR eTEgcQbIgA0YBCm2NzwgUQ5IgRV4aUMwfxaogRvIgR3ogR8IgiEogiNIgiVo gieIgimogivIgi3ogi8IgzEogzNIgzVogzeIh4M5qIM7yIM96IM/CIRBKIRD SIRFaIRHiIRJqIRLyIRN6IRPCIVRKIVTSIVVaIVXiIVZqIVbyIVd6IVfCIZh KIZjSIZlaIZniIZpqIZryIZt6IZvCIdxKIdzSId1aId3iId5qId7yId96Id/ CIiBKIiDSIiFaIiHiIiJqIiLyIiN6IiP6E4RAAA7 --80-2107693160-850135572:#-1543471909 Content-Type: TEXT/Plain; NAME="Dopa/lims" Content-Transfer-Encoding: QUOTED-PRINTABLE THE INTERACTION OF LEVODOPA AND PARKINSON'S DISEASE 1) The system for producing the neuro transmitter Dopamine can be=20 considered as a manufacturing unit. It is geared up to sypply the system which carries the messages from the brain to the muscles, and must at all times supply precisely AS MUCH as is needed, WHERE it is needed, WHEN it is needed. The actual production takes place in the Substantia Nigra. =20 2) Studies carried out at the University of Nottingham and elsewhere have established that people who do not have Parkinson's Disease do not=20 suffer a loss of Dopamine production capacity with increasing age: The commonly-held picture of the entire population losing Dopamine production=20 capacity, with the unlucky ones whose capacity drops below the 10% to 20% level developing PD is wrong. The picture is one where the majority of the population live their lives without significant loss of capacity, while the PWP (perhaps from birth) go steadily downhill. =20 3) An interesting side-issue stemming from this picture is that there are about twice the number of identified PWPs i.e. (240,000 people in the UK, 1 million to 3 million in the USA - depending whose stastics you use) walking around in blissful ignorance that their personal clock has=20 started ticking, and one day they will become a PWP. =20 4) It is established that the onset of tremor, which is the usual but not invariable first symptom of PD, occurs when 80% to 90% of the Dopamine- producng cells have ceased to function. In the chart, I have used 90% loss: It does not affect the argument. =20 5) When a person develops PD symptoms, we assume that his remaining 10% of Substantia Nigra (SN) cells are working flat out and just failing to=20 meet the demand. The addition of a little levodopa puts everything right for the time being.=20 =20 6) The PWP at this point can tolerate quite large doses of levodopa, because his control system can shut down the full 10% of flow to counteract the invading tablet's contents. =20 7) Note that for convenience I will refer to "10% of flow" when I should=20 really say "The Dopamine flow corresponding to 10% of SN cells". =20 8) When the first symptom makes itself known, we know the critical 10% of flow number. It would seem reasonable to assume that this 'magic=20 number' was the target for stable operation before the onset of symptoms, and will continue to be in the future. So the problem facing the PWP=20 is: How to maintain a steady 10%of flow. =20 9) Counting years from onset of symptoms, the SN production capacity=20 continues to deteriorate, and the PWP must balance this with Dopamine from tablets. With such a crude tool to do the job it is no wonder that we have problems. 10) Consider what happens after 5 years (Remember this is a hypothetical model, not someone's actual experience. Since I have already seen 17 years since diagnosis, and 23 years since first symptoms I can=20 guarantee that it is not based on me!) At 5 years, the SN can only=20 make 3% of flow. Starting from the zero flow line, suppose we gradually=20 raise the tablet-supplied dopamine flow: nothing happens until the tablet flow ( Y ) reaches 7% Together with the SN-supplied 3% : stability is=20 achieved. =20 11) If we continue to increase the tablet flow, the system will start to=20 back off its 3% of flow, to keep the total=A0at 10%. However, when its=20 output reaches zero, and the tablet contribution exceeds 10% of flow. the overdose symptoms then set in.=20 =20 12) Thus a window of X% of flow exists for us to aim at. If we miss, the over-dosed symptoms or the underdosed symptoms will result, and as X=20 grows smaller, the difficulty becomes greater. =20 13) Note that this apparent rejection of the levodopa with the diminishing window size ocurrs purely because of the progress of PD, and requires no other malfunction of the brain's system. =20 14)As the SN degrades further with time, so the value of X decreases, and Y increases, until one day the lines converge. =20 It must be remembered that this case grossly simplifies the situation, and all the values quoted are simply for the sake of the argument. Brian Collins, 15 Oct 1996 --80-2107693160-850135572:#-1543471909--