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	<title>شایان ابزار مبتکر ایرانیان &#187; AI News</title>
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		<title>Free AI Business Name Generator</title>
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		<pubDate>Wed, 26 Feb 2025 07:03:01 +0000</pubDate>
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		<description><![CDATA[Best Artificial Intelligence Names for Your Project or Chatbot Generator Fun serves as a creative companion for individuals looking to name their artificial intelligence entities with flair and innovation. It utilizes advanced algorithms to generate a wide array of names that reflect the intelligence, personality, and futuristic qualities of AI systems. From developers creating the [&#8230;]]]></description>
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Best Artificial Intelligence Names for Your Project or Chatbot
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zzjrcGjKHScU1MU8yZwfLqIowA0mDhtoHYnK5GACSTk+9L41eE9Je5Y7hb6XZGkkcThcvJCuTtBJ7PgHOPYnPBIKmz161viHGlSk7GtHe9nrm0ahQ8Y3FLOweGen7qI7haaOb4FFZMOCHBDZVs9zzuz/k9R9eeD6Woxuil/MBRSSAGjAJA9XvnH456edt07PpWyUVorKWWEpTAjCbS3AO4Y/M4/Lr1f6S11K+RdGllaqRFpAuFDS8ekk9u/fpu1dq48bUluNIaLJCxCvdWEdWaaSJpYYHjOxt4ygOAe47d8bTg4+nfgddH+HUSUTXq7rHLTRhTHAInZgS4IfGACFG7PccYOM8u/U+iluOoKW5UFAkzwSLLJGmCp2kZ3EgqB6T7Y4I7dCepamStvH/MaU0tPIrwRRpDlMeoEhcH1blJHOeR/3hku23aT+m8FqzHGsSfID5TWh7BdmPxy3Lh/KUGB0P7xX0EdRpe62ump6mjmlkVGWCAD0ZIKxEMdoJwM+3cEdElfrFNVXKe81knw9wgQqKiNMvKVxgKSvGcBe+MZ+2QymtUtxnWnhMMmydzJK8IjCASFdzOfnOOec4AJ+o6Io7TSzS0kEhgo4pX+FZ0lyZXVS7OgOTnGPT9fpnB5A7d3T5PdpMLOw2Pn867Ki2tmUjjMFI3qVbdU1CXCKllRVjqG2vBv2srAttz6Rg4BAUg8AHGGXo1p71Q3YpFM1TQvBHLMhMsccqICSN+9cSNuZifSCcfTHS9io7XBJNHEyCCNhP5zJgmQ+og8jKBcDntgDH1saqvmuddRyzNHLXSyK8YpYg3m+kqDwQpBBBO7vjPbkih5zg4G/EnzHL1+NWLaQV8ShB8j9KdKXVrXeaSprKWGSaqgO2odGVgzZxIowVVmIBZvbHH16n6j0vp66aWq9GVjT2qnroWpUqKWdIt0GcyRbzuAiZdylVxlThQOB0tbFLV3Y00tfXgrSx+VFBIWUskfzBjxjcpBXBBHGMEDE+DVlVXGnnkjI+BlMVOHTdErDIXkHJHcHKnG09F3+tsW6w/ZJUlPhgEyCf8AcfbyoBjTXXkd3cKClZkjHoP3rBfif4V6m0JdpKe52+YUk2XpqlYmCSRkgng5KkcZVsMMgkcjpdVUMiDzMtyCQO5U8YP0/wCPX9YPE7Tdk8Z/Cy8WS3XR6WsqKfdAkKKkM1RGN2DhuzSKFb1Acgn5cdfy01FQzW2unopzF5kMrLlDlWIJyQ4xkZ9x+XYddK0fUk6lbhwKBPOP25VjNQszaOlMQPOh6bAbJzkcAccrk/w9uorBlwVQgA7clcccZx/n8uptSGxtVPSCVyAffP8Av6izOZFAZiFHYZGB9gO3sD+XTagKjOuxQ28HI3cAjHJ4+/Ydvr1zL7EZCgycEEjJGPYfTrpIDgFgf6vP94/Pv14kLuodgxDcZPtj2/n16K8NcJCNxOByc4xgd+38OubY3k4AHOAO4+n93XYrkA4OMk98fT368mM5zuGDn2/l15XteDgpj5sjPOO+f95/yOvG3KnA/DPXbYilS+TggcHvz7Hr8EalgGU7cjIB9vfHXlfV4DHDDavI9x8vPt/n369bcsAQyj6HP8P7evvLyeeOcdv8/f8Ah11VAGBaIepc43ffvx+HXtfV+RxBmXGBn1DI4H0/zx1KgGMeXvEpDA4OBtxyPzBI6/KP4dMmWEyellUB9pDYwDn359uuka5kLbh2POBzz/b16RFSTXaILKwDRnCLj0g4GF4+3tn789XVHSqwjZyqeY+MEengjBJ9geff2PVfR7D6JQCpDMqg8buwJ9vv/Hq7poWrNkKOxKuwGRwo7k7ic+x/yT18ElVSJirSipqGVgsMJeQkJ62VQD9ft/kno50xplry8kdHFvrSY1R44z5IUpyCME7slf4NnHVFYbMsafHSxKd2RAG/fI7kn2HPOR7jp5eDFyi01V0tW0MStFN5ipIgGQANxLd27DA9jnA6LDYQgqiTVYUpawk7UtdQ6NqrFJsunmJIEEiI6FTk+wU9u5Of7+lDfqcxSOArmQsUZiwIxnjAH3z1qXxPuFTqfUNVX13m1E1YckKMAgj0oAAMZIA7D8OBlFXuzwh5quQRr5fqdF9IQcKAozyckff3Pv0MVE70WpgR4aWi7gq/slQoMbgO/JOTn3/w69c/9E38G/x6v6ijkdDTRMAgJlUEnCBgMj8SAP4deP1DN9D/ALDf/L14U0JVFbLpcKCjraKmeD4a4RLDUGSMOBhgwKkj0NlByMEgn2J64xbHZSQZdsRVkKgYYEkAEH6c9h9MY56kWs+XVRtSFvNP+iYlS2B29ODz3/I/TqZcIrQ1LSvRz1b1RjZqwyxLGsDl2GFweV27e4XkkfTospJAmqZAJioMcnm5jkeUrKP2ZLc+55z35HOPy79dg8BRHIGZA24EjBC+wA7H254Pfjr3DFDmKapm3QuoVlEoD5xkEjkn2I/Aj79fLTNgqd4RgWVUw2Aec9/pjOPrnsOvQnFQUoda/RA5UShCMqRxgYUY5OBjBwT3PGSfr1GmieVfN2blIB3AHHbgfyP8P4z4vh/OMkkZOShRskYbPOfc5H0x74xx1Ju9tiorjLDTVkNaq4b4mNiEJwpLLkAgbjjtz/Dr7gmoKVFUJVmMcZUk87cLzk9uQMn/AA69DCnar4VgckjgnB/uI/PqaI4IJ1eenZ1Q7mRhgsMZKnBBHHuDn+7gsOX4BCgEjsOw5+x7/wC/26kERVKlg711pk3PGDucv6QFGTnnHH1/49XFveSMA4IIbnvkc/y57dVcIizuciM4I2nnJx3/ADOP5n7dWdI4O7YCq59/3RyRnHPbPPR1urhNKbtMijKxMzJG2zYS+QSvBOBt/t4/EZ60H4f+GF0migr6qNVlMbOtOXAOcErvXv6jjCthWzkHnrPenGjlngSGCUlHG9Ub1EAkkqfbI+3HfnnGgNOalljnFv0xLIlXPDvkllK7iViyY8gZy2CMdiTkhiuelPa/XrjSbIC1/MuRPT06UR2Q7PW+sX6lXQ8KIMe3n5U4ZtZ22ehgsEIjo62OMq9NOu0mH3RWxlmLNlVAPZeerzR9wtlNd6SWOmknp5JVetmi2Qjt6fQPoOSdvG36DpT2W43LUNFDUX2J6ykp3jjhELrHLuyAGAULuGQOT8uPucn2kY7jUmin+El+HRpHEUpG0KjsPl7ned3LZGVYY65GNZe1KGLsgjc4kyIj1BPKuwK0pmwlxkQdug/mOdMWrvNvhvIi0/p+oNIHyRAyhV45kH7pyACOe+cdyeiu2alovhJ56aaeemZzKJXlG2QZB59WxfV745II556VtBVVESTUM1SaGvR3Jp4mbY8QCKWYAFThiFClQTjIwcZuLbba632xLDmRKSllLTGWIqse4glsM2QMkDBzyCMDgiFs1erYcuknckAAR9cD3x8a8fUx3iGSNgMzNN1a86oRRVVZeVWWNGk5KIM8enjJHdTnGDzjpYeLWidQWYPdKWdKu3QxAzsgUiEyP5YBUn5tzEe44z3HVxRw6jh+JnWEGlooopJnUD0Anso2jPIwB7BiPbq3t14t4aOKuuE+yphVT6QBgO2A6twfUVORjgjkAAdaDSe2F1pVwm0fbJEDJxI2kdZIrP6n2bt9UZU4hUHy675pHmVoWCQQhqmQ7IIpJP2arnaCe+58DtkHqiraI1d1MdHEJZGkjjlpyAqM7AJvBALK24cEZKhuDzjo28QbZLYLrNe6aWnMc5aoiwFYbmyCGBBIAbOPpgZxz1yoLBZKIwVQpmL0caVM5lO1pw4BYEDIxuVu32JHt0N/qVZ/iV2+o25kOpgjfIiIxjE+6pdgboWqbjT3xBbMg7YO856/OllJaZbXdTLR0EcLVsTHcjk4lXLo24t8xIOcDGFBH38aWr7Pp25rJqCKCaCsgaKWKRSzIcD5NwwDuUYdTznJI56Pa2gts8jJSlomyY5FplSSp3KA4BJAwA+fxGMdw3Q3f9LwVkQpaCpp4JnizSRQ4BLvJ8uXIJIIcgj2Ugk9ctb1d9C0srJBGBvI9fKuiC3ZcTxECD7qiU9sFypZZJK1adlzOtOVwin2JYD3ywKgYyoGCQD1Ao7xekLvbkpYmjhWPznZIwqFX2MPc5xxjvtz3OOrLSk8NRJUUN3pImlpd643g7KtcEg5HI2hipPu4GOxFhe6W2W6OeXUYjMsHlGmhjJWTMeVUyFnKKCGHrxuJIPvkMtK1C2h1i/3iQZOTkRHM591Cala3IcbVaZE9Btg79POoNJdq+47DAlRB+xeQyzBXMqsoUBI2GR825nIKjAAGcgFFPbzaIIZ0oFZfLINP5xYRxnOcuchsgDHGOCRz3oLNHWwUXxtzpAskzsDnYZIkc5TIHYAlyQScELj7kBiWVfhrfHKDuMauhKAMx2O2/tlhwOPfjGM9Z+4uwhAQk5BmNxPnTEs8TpMY60Q2mtoviKWOrr6q3fEUstXBGXXCQhAzEZbDKBsOOwHOOv5r6vq6Kqv9wqrdFItJJUymFZpN7+WWJXJ45I5J+5+nWkv0hNX3PS0NFYLJqqop7jBI+5IJXBWFwRywypJVOeMgMPmBGMzvQO7nHKY2s5BwM45P8T/AA67J2BslsWBuV//AKGQPL0rnXae4Qu5DKP9gg0OzIFZgQTj+B/zjqM8ThfVjgZ5P3x1e3G2y08ux9pxxkHGf4fbqrkpidwJxjuc8nt9vv1vVJKFcKt6zCFBYChsarpY/UAq5BPuPp1yaPdyeAWJzjPPf/P/AB6mOhZjls85OO5/LrmYy/Az2z3759uozUqiiNB3DBu/8uv0k7VRT2zkfbj/AH9SVi5JUj6njOM/8evQpstgrgMPc9/wHXteRNQjEpQHcS2cYHb2xj+eevvJMYz2Pf5vtn/P5durA0bZDcDsCR2/l/njrolA59KqdwGQB9Me/wBuvt6+qqEZOQvt8vt178tXHJXBJ4Bxt/j79z1YvRkEBl2jOAT9h14WlDbUXJbBBA9u+MfXq1KJFR4qixiTaNqYyNxGMc98jjOMduptMgDK7YJGC2AeQD747cH2/j79eEpQpBkbnGeD3JA449/8OptOFzIyc4OcDJwM/h257/XHfqXATipBQG9TI4II4KeaKbdK+SynjZg8fx7/AOebehoaiOP4tY1EKSqhK4PJDHjjJ4BJ7YOM+2KqljeofBJ2qOSTnHHbB6KLdClFLTrVhzujyvHyjOMYPGSMH6DPv1c0yo8q8W4jmYo10ja6usqEko4/2q5w6nO3GOQMfY5P1P59Mm2R0K1sEEtUlL57iOZpSSsajn/WYnPGe/A756XOnLn+q4fiBXwww7SSolAaRtnPIAxg/wB3PXf+knxMrSvPOUYFkjiyihjxs7g9yRnnsPv0cbN5KOJWAaoRfW5VwpMkb1f+IeprRHUrU0dX5/yxkgbQrBeMfUcAZ78H7ZWVeZNQVpipNzNINzAHjcQSPcnGSBk9S7xA5ozUTsFZiGWLbljwfV9AoIx3/vxT0Vzmo3WOkiRWgn8zfjduZew+h9zz36ENp3eTRCr/AL0lKdqiW22189ySkoYklqJVJwwUrs9RYnPAO3PPcYGD1e/qSyf15v8A2jf4dV93qZobg1zWnjjFQWl8oZ2pls4H0+mOjf8A5Wrb/wDpfbv/AB9R/wDP0G9xzAqxtKCJVSAjglmpZVgXzIIFSeRuT5S/KQePq2M/U9e9giIyVYx+XIFDBS/GOMDI7Me4wAOOucca+SXjKSZZFCmMjPHcAYHt78nrtSjyCF3RDcn76EYxzgt75xnj8Oj0jalylV1iM2Cy1TOEdnjZ8gZAUk8dvSBwM/l1MgiPmmniHmmZNysMEk8gcHGOMj37dRYoT8POjFQYl2quPVkEAgnGM9jzj7c56s6BRCkUiwwSyAMIWc+pWGc9mGBkg+oZx27Hq1DcmqVrgVzdIjOkscRVWUJgyZYNgAEn3z9PvzwOrC3W57uEoFqoIpZH4ikARXIJxz8oJ3njj+fMmzGl+LgMtFDJDKwiYSMY0BYn1bz255yfbbnOD1+1lPLTyMgkxJAxXzEZQoVRjfn6Hg59856IFviaEVcQeGqn9QXBrhFaUoJpKyZvLjjVfW8h9IVcd+e2B36hz0bxn15LxkxlSo4YE8d+ff7/ANvV3Tx17zp8OsyzI6kGPKsDwQ4ycg9sHtwO2Oiun8JtaXqB6sIi1EsjMaeokKVDsOC5H1yex78kdxkd1TTI8ZipNJdePgE0s4opc7h2GN2fy9vr+H36sKRiBGIQwcIVKbR22+o5+mC34Y6Jqrwt1NBcP1fQW43FxTCdjTepQvug/wBYHcMD8s9UctpuVBIrz0s0WQUVmQple2ORxwSP5fjG3fadPgUDUbm3cb/Okir3T1Q9JXRVQhidlYHZIMjkY/M98Y9wO/Tt0VJQ0JWvcQsayVg5cE784OzA42s0gJHB4GMe6SskTrU06VE/lhcgGXlMBSVHfgZzjP1/Hpi2a8f81gqIHMghkiCqzZxtaFSDzx8v+eOh9Z0ZrVkoCsEc/L+a90XWHNJcc4cgjblIp0WKkC26oqLfMyFWjV1Q4SeMt3xnGBlc5/eJOeia3XymSgp65LU01GIt8kkLkH1ysrKR8pKsVXuPfvjIX/h1VzVlNXPXeQUjrWRmckFvUvDD3HHB7DBGOevrFqGuipGSCOVxvMlVF8RhiwYKJE5O1xlNuOffnGDjEaI/pF8t5Ke9abgqSMKyCZHWBy51sHddY1W0Q1xd267IQTlODEHpPWnjoLUtLC0xulHR1MlgE7VcG5pWmgYBJFDj0jaFiZSCDuIHO4kXpuNFfVpKmWnnrkq3ikNqo40lY0iGRoviGOACZDGSSwwipjJx0pbPdtNVVJca2jrFlmqo2E8csWJYSqgFgCeW9JGc4ILA98dMTQ8b0Ok6Yz0cMFBV1Bm8xAAjSYC7ZMHkDBCj65PscZm/1BjVNdFppThQgiSSDAWQJwc+RnAJ50+0+xudP0gvaijiWDAgiSkTG2Pd03ijZa6+LTm4zUccEE8iS1lPE+9ZFY8IjkjO0bO+ft7dR6mQ1EMc1UKSnDwAswdkO1gBgE9zjJyByWHfgHlYKC9aloJIliaQU22SoaD9pGzqCGXsScYIz2APPUSno56qeNqqqFTU7Wklp42GEqMEyMjMcAew4Ge/frE65bv6VduWxeJUnYyPGZO28DqOvrTywebumEuhEA8ug8/3qh8SKaWuaWtSSl+GWNadCZS8ihgV4BO3O1i5zgfTtgr973eoqWeCnj+MqPIREIJQxxqpI+XncCx+xx2wOnnatER6jenrr3XR01P5uWg3hmc/uLz6SRkK2P8Aa+hzSUHh1pGgeiordT/Gt/zpvOiEjoSBEW3AZCn1dySQSR267B2Y7T6RZaA03dq43RKinYpJJx/GCK5jrvZ/Vr7WnHbU923ATO/FAGYrPlsud+hssDXvS9SJHqvOhhjR8tEUcqDkHDZRQRjIMmcZOOgrUet6GgkMSQSeZSMjzTGIJ8IUyCc8nkS7jkHjkc9PLxE1bS7t9S0i07hQ/wAGysysRj0LySDkA7ux+gxhfXGhoKu1wC608r07pJM8LJlaiL93cxU4VsbuckbjkcADnd5e6Reaou+etiOI54VkTtuD5edb60stQtbBNq09kCMpE8+Y8/KgGku1qqbhNfoNlL8US0rFdpEYkEfmEexA24OPrnt1GtVBeNXXSgrKaWqnpzJK98m2BUUJuZsE8AnaRg4P09yDCo8OLBdIK+uscbyUR8unWkjUqQTkZYk8biqAgj5hkHthdUWrNR+H1nlr6dFpo7zGyxNjcxZD6/Vg5IDkZPcqxH06TMoaY1FxyxQFhU8AVyBBg+qN/Z6VoXlre01KLhfCpMcUc4O3/wDVEVq1A/wda10gjhq4pWkgYoRJIxOVJXhRlVYDYAM8d2x1JTWNxitUNNcICr1GWie39oo0TOF3YIA7ncp4T3ySVPbb9cdQV8Mlwm2rFER+yHzBmYFAq92JBY8djkc9i+aOGRqqgeRpYaSTyVDKqgJuGCeOJMFWxnu2cc9XO6LYsoLy0yrBPMDljqD0qKbx9xQQMCrqDwl0P4kV90uuoFuUtVVIzR1SuiCNlkGHCAk87mJU5PJGOwOgbL+it4G0ugrXbmsFHcLi1rqI0r5fMjLPLt/bSLvJLIAMHOFwcBcjpQ2G2Uc0xS5VklNTwysqv5igmZGC43KvPqBGTnOAATtPTJsmob1RrT081VDUUcdOrwUpcGQctlCoyA20nHBIBIJ3HaWFp2vuLZJaSSUwIxEbbUpvOz7LhC4APPzpF67/APs+fE2ljo10VQLqRZY8VVTTTwwQiTOVCCSTzG9IwSQBn8Osg6o0zV6au1bZrpFsqqOVonVWUgODgjjvyD26/rVD4qX+0UU1RSJFT01LDsErzhY0jUNwWPOARknJOB+OP59/pV23ScniDVX7SWpYr1DeWkq53R0LwVG7EkbbRyM+oHA4OMnBJ3uh9o2tXVwJmfPnWT1DSV2KeIxFZ2eBsE/KCOc889+vlpOzHIUnAyPfj6fj1ZS02yUqnODgY5Bx7f39E2gdB3nXWoKTTun6Y1VfXMEiUypGCT9XchV5+pA60ylhIk0oSniMChaKyyyrlFJ2nHy8H8P8jHTE8H/Au8eKmp2sdJOtHTwQmoqqsxM4jTIAAXuSWKjHA78gc9f0R/Rw/Q90j4b2CqvGtHobnfLlSrDIqSB1o4nRlni4BUswZkJGeAcHk9NGi0foDw4o6qPTOmLRb5IIiUaKkC1DROzMwdgAWBYE4GcE/h0s1DU02qSARIBO/T+KPtbIuqE7TWMvDH9CWhpbTfDrCieprKkVNHbGqIXiaNclY6qNAcNvUhhuGVIAAIO4X+lP/s8NL0FvqqrxB1hVTVA8pqeithVMo5BZZWdTtyMqCCQCMk+3T5qvEAwytVTkQLGxkjWFTvYA5AGP3sEk44JHOOqa46oqayCojliMEiAs8yYUwxnJJw4PB98ds49z1iB2xfckW4BKsCce37GK0R0FCQC5sN/2pJ6x/QKsmoI2uGi69LK1RUBpfiGaWip4j3jibBkDE4OWLD2yAc9Y+8QfDe8aAu89ruNOQySSxpIEYKyrIyBuQOW2E4+hX3zj+mlP4xx21YqGsndad4zmMR75HD4AYjcSqsxJJYc5PGMdCmsY9Ma+j/VF+oYo7UYmp2qjCHmhJQp5qBMqihWPAwMlgDk8vdP7YWzSEIcUVE4M7z5dR50BdaA68VKQkJ6dI/ev5feSPMUFQfqW7E/fBz/Z18ykOo5BwMA+3Y8Z7/8ADpwePfgo/hFqqO2LcIK+21sfnUVVG6t5sa+k7kX5WB/dye/fpXR0fmEngKoDEheRnkZ66hZsoum0utGUnasNcuqt1ltzBFWFDseiSijIEkkglMnsAvCjaMnP35zx+JtEirqCSKKJnknkhkgWOMsXVmwpVuAd3Ptx2z9Oqy2ma3VUFXAmHjZZYwTnDA8H+w9W1ODV181fcvMqHmLuX3bHaZgedxBxhipOe4zg+4esWfCnakz92Vq3qbc54orZRwU00skg35LRBRvyRtBzliMd/bcAPc9dbZqSCHMtXRJhgZVI9RAy2fmz3P1zx+OeuUNtppquVp3jhgUBz5QPPGdgHJyfr7Z56im3Rw0ytFNFuHzHHqT/AFue/c9s+2ccdRdZ48dKg1cdz4hzqbdrsL38PTb1X4WHaqr2IznA9uCzH8jz1a6ct9BHKRHAs88jFSXT0oGAyQvse4747/TPQ7aLTNLUM29YjHIEyzDYAc5Ofc5H+R0XOq2WrlS3zb1ppQIZHGyR2BbBKEnPY+xxx2z0ruLZRFNbW+SDJ3qX4uaRuWjmphLTvFLV00c0ZMSAhWIYbQOwyOOxx39x0p/1jdf+tzf7R6Y9+qLvq12rbtc3qRs2rJNuKRrj05wMg+ntjnA6qP1RL/UrP4N0qUwAYUJNNg/xZBxS3po4UkelqafyyH3bckFD7YGPVgkAjjge2Cep0Vtp2uCiuoCsLruZBL6icH1BypDDOCDjBGecZI9WOipKysMNRVLEFQuuM7i2zhAVBHJIXGBkkZI5IcXhR4UN4h3GmtlGHgqGZIhI8kflNlBwWGceoZA2gD08c56cNW3EJO1Jnrju6S60ibzO8xjRvMUODksB+6Bjg845459uvoy6g7NzBsnJOATuBBzn7j8/bpkeJvhxNovUdVp+pqIHekkdwkb54YruUPu25GOTx2z9B0B1UcZkmG+QjcRESd2VySfYZzgc47H37dfLtuA4qpNwFip8E6i3wwUsMkcwlMs8oZisvshC4yCAWBIzuz1b2O3pcaiOmlpCVmiYSEBWbZuDZG7gYUg91x33DnqtoqVHpw88UjzRlQWPYRheAPoQF4PYY57dF2mJ0pqGZfgI5/PEoC4GcgMMFd31K4Vsg9sYJ6G1V5dlZqeSMgYq3TGUXt2llRxOaYGi7Lo6kZbje4KuntzUz5aNgKp3J4IZgcetW4wcBc4zz1Ir7xBU1v6ytSCQlzHCGkZ3j2rxkr3zubJB2k5HHS7pai5NQYnlBiEiysWf/QnBXeE/84cZOccHaM9wZNKa+qkpaZGin89liaQjauexXOcEFsnnjj8OuR3dxePg8Zkzg8/fXVrS3tGfyCBG3KmlpbWa0UEkE7IBVOfNkNQBIxHqwxHdQffHsMZBz12ktNiuFQKWmpoPg6iRanJcvI7N7l2PDNlRkggfTjgIt9NHM2Noq8AMnloRmMMF25A9RLcgDGM57A9FmlqabyKuFGjiPlioUouWHpLbEz7AcYGDhiMcEdLUvPJWACfX0oxbDCweID09aqNUeDNNUxpW6aqIlqX3+dSSLsiVF/eDDnOMEgAcnjpafEVVkY0joYyZFEyOwJXYwJbGMqCMcd+OcY6eVHeKioptkh8t4zJT7S3yKw5bt2OBkfTHb2C/FHTc1bWG/UcEbAwqtSyyLuLsmcqnuAGIxj07SMcdb7svr7iwi2vlpMyBnII5Gd/L61z/ALU9nkIC7mzQRGT0IPMdI5/SvtK6vrqKz1kVPHGnxr1cwWSLJDYTGM/Zh3+306utMVfxFaBG6zF5kSBlK+oCanXB5Bx3x9+RnnAVp8XGiqbdVy0c3l09akkbtEzGRGKb+D3C+WqjH1xyT0W2u1Ghktk9Ix8xkpvNp40zKZEkYlSMcD9mnP3Xvz1vUMNytSQAVb+fr7K52884lCELUSlOAPXpRBbfgKS61MpcSfFSrDGgdQFiARsg9xkyFSO3J789NfU+tqWG2vp2KlR7PRVJSGlDgojeYH4JPbBYjAX1KMHdu6QNbabtT3G31lcxRI4kgaWQMgaNiMFSThsgjnvkj2B6OrKtDXfrCpqlp4AKSKdI9+xqmYSqA3qPo4ZlxnGfUeAevzv2ysj/APInilX5ojlyEZ86/QXZS4Qrs9bqWCeGZnO5Pypj6b8Qb5YLbBNbbjUQNNH+0Wnjx5lPtAOe6jOGOz2wMkk9XNNq2rhrJK79aqxnppG3IglDJyZFGMlcqMHOO5zjGOlldbpNpy2mqqad542haRBEUG9COWlO47WbcfRzyhUZz0Qaavcd103DUUp8qcBI3iR8F9uwOWAwVUrt28Y9J7nPWRd7NXVw+lJWQsSYMiJPL4HFPvx9u2wXQkFO0iDOPsU8tS32iptD00cdsj/W58upkcS5SEcME3MNpbDgBsnGeBwOlDftTVl6pqmYVldA4rRHHTuVKzYX0s2CBnBbKDtu78kddP1hBPVrRVMc0hhen8yMSl+fOjiIJJOAdo7juoPsB1JpqOioK74+pqYKsof2VMsKgKWieZe4yBhACP6wz0TrenvWt0lhDcq4UgcO5xjkJJHWgdKumHGC6VYknPy50NtcbrbqiWreRxD8AMzxkMq7hk5UEDksOOPrzkjr1aqvU18obpC71y0squmWLqsjB1bIO4bhwTv7sQeTkgSdQtS3S70tmtIhppq+WphaOo2xr5ayLgMGACj1A5PHp6Iaiz1j1Es8FcX8unkWWrSZfhY8NtZCq5AIUqcZ5Lkj+qB1t3rHE1cJPEAN98529KNS9bOpS4yRBn4Y+dC1saut3nMTLCjs3xNKkpXzABwHAAz6ihHbndj6gb11o+s1Jo66XSWYL5EzV8cErLH88wRlUEADfkEDvlMDHfq+raultkMEdGxrZZQ0tVNEFWSNPlTlWI4ZRkkkqMZyOjvwjo9GavvM9Pe7hBSxopVallZhkYIIdjz3wNwyMDk8Do3sym4b1Nl5KhIUCOQ8xPnkbULra2lWLqFDBEHmfWKzNDZdSxS0U72CtpaeCHzomjhVmjAbbkY7HPJGOQMn7erLer5db5V09VFUSvGpkI3LlUBXykBAzuDlR35Bx1o+p/ohHqGss1TJVU9ohJVpUfcropZlwdhAPpbGd4DEZ28ZpKrw10hLCK+hWWK5zK7TS0TqIWjhw4BZh+0c7ASQoPqAz2HWhe12zZNw3dNgEmABmCDPqRv7eVKW7F9fcKZWYGTOJBHwNcIbxpK26XjoYYK2bUNxZKsmeJZBFIhWQnCnBVWWPGTkeYRyCw6LtF+GeoadWvV3uUlDW3OCeSGAVMYlMbsN2M+lFGFHq7jJycYC5WCzaYvcklVt8q2ojJtIlkfzI1dl9OdmQUJ98rkjPYppvE2W2VU94xXVEXlysZqdF/5vCrYZlXjdye4JwMjjAwlZU494mrfwEQCR5iYBwDt7zNMX20oMLdyM7+WJpzp4R6Y1VZvgbtJcqekqYZaOcQ1OGJZTG32f0sQNyngDvjrL/iV+gVq+iS/3nRd2S82+3BZael8tjXzqxACrGgIJXJ54zjOB26bdn8c7tQ1dmUPNWLdnjKxwJvPJHobG3DFge/tgdMCPXddR3iumSSaSKq/5uY85Eflxuxde/rILgDvznkcdaTQtScsGUo4FeI8wPePKcR1pLqFiLpRJUCU+f3yr+WGq9JXXSl+qrBfKN6avopmpp4ZvmjdRgqfw47/T8OtgfoLab07bLDe9d3XykqPio6OikeIStEq7WdlBxguXVc9sK2eO6j/S6qbNePEdNU2ivoKr9bQ76s0yqrR1EbMj71BJ3MArknGd2e3Ty8A9UacsvgrYqP8AWNNU3q4ztSR0hrUkqF8yfagwvrjVFXfjbt+/q60er3y12CXGx+Yjr7Z8sUmsbZKbsoWdprV1VebxUy1YtVRSNKYPPknX9ptPuvYDdgEbcnHOTg46UdfrGs+NmFXcJPiVQKBKpj3OWYIQDxhSwHbjO7OACeMXiTeKmG7W2S6p/wA38ymEijeVURs6OSXYM3mKVyoA9IPYgdDNyo7Vcrv8PG1WtegU08zSLLNEPLHfd8q8hsZAITjI655q94pbiUsJXgGdyM7R6TvFa6xt0tpJcIztXmovT19NV3q4RT1k8UJj3wiMpTxjc6qsh4I4U5U+zbuRkx77PUvRLXRXATSkLLCw2rHA+AWDMqgMQQB37qT2HQ3p2+gUz6Ju9wkpHpZHpUjSAeUyeYpHk7hu3BGlOzPJwT8pPVJedQUNHrGgtXx6xolNVzV0MOPKgJw0Y25Cls+YfwfHVenacq/eUhsEhIkkiTAkkn9z1om7uE2iU8cAkwOhnAAogss1DV0dbWXOoPk+eN9JLGyxGPZsVcthThh6n4GGCgg9UtXqBVVYY5aiV1mSnKzMFRWfO3gYJQDBBDADjn36hW+Cg1BX162cqlL+q4KndL6NrmRgCCDg+mFRjPDKe2D1Dr6cx0D3JqlZPN25XcjPtWmYnBAxjCgg89xz1oLfRBqBCv8AcTEREDr9I8qBf1AWZKTsBM/T/NLDx6r6K/We23GoAFckzQwKJPMcUxw4WT+q29nbGB83BPOFBHQyVPlrFHvdvUxUYJPc54/znk8dG+v66jvF+m/VkLR0zQwuRMoDs6phmOfvngdwBx1SW2gmDIyQumOW2nbnP3/h/uz1+iezGlGx05tlRJgc+U8vZXDu0eqpuL1xxMDPLnHOolDappjGwdtzFcDuVA98/n2H9+Tf26z1E9HWzR+jyowCMnlCCOQeGJOD9uTxx1bWSg2tJTtTwD9myK7oT39+Tj27ntno4tel7ZNE1O7VH7QKJdsecOMhRnseCTj3wfpnrSrZShOayhvipUClWbUroSsD7hkvIyhhtyADjHBH8O3bt1y/VEs3mRxU5ILKS7cj6DPH3/h00q6gtcNNPQiokjamZwsBjy0km/kuR6eFJGT3OBwO0VLK1rmNTNCJnZl9b5CoxGThcEnGe/Hvj7R/D8Q8IzVDmohB8Rpax09dbp5o2RfOQGMKBv2EEAsMe4xjj2/j1ynutVJOKqHeXRSglkcuzKSQD7H3P549+iqrtVVNJMzLsjixLLwdpOeCwz6vmIH0HXO4y2F444qW2sJRGQ5RVCklQBg+5yc88j+GAbq0gZoyz1LiOKpqWW4PElI8Mq7pOaZozwQByV7Z2n7kYJ9x1af0yuP/AFqv/wDGnoerLjVtLJVSVM00zHLzSMd3q4Lc9yR759uhP4qb6n+I6QqtTxGtO1d8ScVGSrnmqqktTqspkbdGEBIGMn0kZGMNnA75+/RTo7Xd2sU0bW24SwMvqLBiMHgZ+hztGe2TjO4qCBmK9wxWKnpKempY2jlaSWo2ft923CrvznZ6QQO+e/GOuVFXNTqGVQjx7ZCu4+oZ7Z9+fb7d+epoc4VSDV60FSYIpmanv36/cXesui1RqGKmUB1AcjDqybjjIjwe5YEE9ugZ5Ucv/wA3UelQQq7cjjaR9Djnjv3P34oVkDRxyP5eY3WOQgMVLMQ2BnHt9sEfbqZSVQp4kkp90csLiTvgZyCBj35Gc8Hg4zjHRS18dAhPd4q9tOpamjtt0sNLChpLsIYzviWQ5Q5Xa5BI7kek9jjHbFroW4PHq630jwxBJKpDUQk4DyI+4E5BxwcYHufy6D6fLzZZAVJJyQWVfVjLZ5HYfXg9X2m1SK/0lbtiSKEhi2/EYGO7M2ezHHP1HPAzRcIDzRQele26u5eCk9RR5o+S1S1cz13myo0DxRoobKSAMylRxj1Me3b7+9bdqSOgvG6OKIwxxgELn9mSzYckEA44H4H7de9KSzJFTyxsQ4kfbKM+ygbTn24PP2+nVzUST1FzhiMVO+ynjCqm0LIpeU5dh98jn22gdhjGXuihwFsYyM+ZVWutNbUwUuHIgkjyCa46ZsMt7vlNa6atpt1bHLUQQ79u4EMwUZ7k4KgDJ5H3HTO0boPVUjSWtrLUiSdAhqlZ3jjUrGTkjOVw5P5H36E9I6Vo11ZTXzNHEttqzKsTuAJ2JKqpLYD4AJwMj088ZxozSHi1btC01XRUqUFwmhVlwN2EYen9opG3C4IAXCgjH36xep6i5p18uzuYKd5A2MfGedayxtkX9oi6tpnbJ3z8K8aU/R004jML7qa4ylWaKJUjSI4BG7CszfvLu4PH49MWj8JdC26JGttgijqJUNNJUSu1R5gG3IfecYJ79uCV57BXV3jK1ouLWmllkulSZHGKfLSQpIA5zjKnChu59O3cMZJF9bPFOGptZpqIwVFa0wepV6h22A4CpkAbWOH7d8MfSAT0juL+84W3rhBgzKoAnOyY+dM2rZqVNNLEiMSTvzNNS76Ss+orZSWa5aTtM5gJamECLH8ODjcYyu0qPSMqDkkD6dUt68B9OXGptt0poQkdPAKGWGOcRPMPVty2c7gpIB5PPtgYq7TfNUHSkt/ZYzTBmpnlE27a2Dw+RlXPpODgEE89j1+2DxK8h6pUqEnVHYTySvxIzlwFUscZLe3fIwOO0mO0V9xKeKlpEdcAHEjGZnP0oZ/RbVQCClJM9NyP2oH/AEgP0e6vUVy0unhnHI9Gs01PXmqnaT4d5EySG4LcjGDkjj2I6z42kry1jip5aIPLXTvFIkshEm4MzANuI3E4BDsRymCe562lFrXTM1HP5tdTRTRAtFu2hYnVRtbg8ABT3OSG7HHQ1qXQFi1FT3Crp6VqetLs4IPoVsqCxAxg+ojGDyT3xnoPTn9M1C6H9SUUoInw8lScncxzgZoi8e1TT7XhsEpUof8ALmI5ZA98CkNpMwalsVbaH8qqu9uiKii+JWFqmPJOEdiSWQNI4ByWBX3U4bGgvBW02zS//lC/XC3GrVIyk8UMg8xdxA9Lj1YdhntkDkEYOdPE+a52i7SJT6clpIqFUaC7mN08tiThQ/ZwxAVdx4DgjGeWj4i+Ik9s8NKOvrppClJcIJGjUYKLujJO4HJJyDjj7dMH+9eALaioNJPdqjhJB2BBnlt5VBhKeDYILpBWkHiAUN4PrV5qfR9TYa+l1TRTxSUNROlOs0W/G/zhkMp4BBIyDhgfYdDGvNTT0NlqJI5fW9xCDavq3mnkBGT3zu7fbt7dS9HeNWnKe1zy1fiVZ2o5HMzmahL1UbMgG8xyR5U5A4EhUnBIySeqGS7aP11a6tai+rboqSoirqeSXMrTqFy7HOF8tcPyzKRznOCQ103tWxcvtDV2eEpAlUYMTy35+dLLjs1cW7Dv9OWSFGY55/iudJcPgbfJdb1TvPO09SJpJUV/NgdASgXGQH2YLYOMHgkgdU8uob7AktuoXjqqOSUmKNkEZcYUBPqdyksN2RnPGTkft5WkmqPLt2t7feKWrhkjSKhmR2jAXY4YfdWDZy3IPI6D47rTG9zWO+3zy2CMizRYV2DLuw+7gMSw98AfjjrM6o4zd3L74TMmRG0H41pdLtnLe3aaJiBkHeatbJXO0j0ccziSFvMZdhd5QQVQ5I5BLFcZAwDksQASTT9yhkgkitBMNLSERyVZmcgKzEBAThRkgHkekZYDPQve7fHFbZLrbqthUU9QUiKRlkCOvpdpOR6gcEbsglcewFT4e1ArIY0p4uaRCagZOUYMIztPuBhfuC336VW9qm+WClRTnJ++vKm9wv8ADNKKhNM5LjVW+tmp7pcBUwQsI1ZJmAmUlQJG2rhwdwUqRj1HkkAdWFr1PDQ0Ma0FPLDSQtIDTPIJd8Um0N6tu/gkYA5HJyCB0FO089ZFTK7Ks0MMa5Bw7uYxgEYHAJ7/AFHbomjs9NJc65N0nw4aVZCHK7pQCzKVB5K7j3PO3sOchai0yl0qUrb+PfFeW5Xwfl3ok1zU2a9afhktNItNK0eytSFzL5km5l8xTgbmZVBJ7+n7AdBln1jT2jSVM4nnIoqqqt7hGCuBmceYvOC37GPJ7A7vw6Lbrp29Ga26fslNK0soG+YQYEhMmyRpGJIUqXkyQAOD296M+EOs57RPp232O5TzR3aaVYfh3fMEonYOWAIA2snJxy3seOunaba2t1plvbXagUhU4MYmJ5RWBvHri3vHnrcGYjOcx8asr7rylpbDp+WmoI4ElqIEoo1iCsZnMjAs4A3Kvl52dssvcLxeWfXeqbJq6yXOlmR4a26V4jSeDMTxpSADAA5O5mz9e56Z/hD+jEL/AE+ma7X0c+3T8kdWtCwLZYKxRHY8gftA2B/Vx26ausfDHQlGbDHDa4JafTglloo6GQRSRNICkgbHDZVsfjz3APS2xYtdMsfxFwmZWoSckJCvDAmfd1om7feu7jgbMDhGBzJGZ/zX819G+BHiV46Vl/uenaKkWoolNQ8bhYEkJYKI4woxu4PfHynknuH6OotaaX1WaWw2+pS8jz6NKdIC0hZo3jbAHqDAMSMdiAe3X9S7ZTU+k7a2lNOUNPQUAZpZaerfK05bJMSgZIBO48HjPt1yv2nbTcJpdQ0uk6Chqomk218dHslG5SvdcOAwY9zgZxggZ6OPaq1WlaWEFyOUEevsHM9ZoROkOgpK1cPnWF7V/wAoGm9PTW2pMyVr11XGIFCF4n2BiynOCceZzn1ELycAdR6PWH6q8Q6C8XerqIbdT001I8kjPvihBVJdwAOSHYgAKThQAAD1ruWz2WpukVcdNq89NvmZaiFPNgXkdwRsYEn1ngADaM91rr3wA0rr/UNNVW6fyYgiRCit0wG4FsM7SEYB3AZwMEr9cjoLRu0+nam4pi9SG+JJBI6nkPpV9/pt3apS5bEq4SIB6DmaXb341FpiulygqFzJJUU/kOEmCvNMy7MnuUkIBPPbA/dKnvd5o5jdHpNslxuXmQSkOXWJc7TGGOBy3c+wJ756dniT4XXTQ1jqKWuuUbUlupBTUqs4WR8RlEbk5UkF3287fJAyQell4W+HtNqysuVfqAVMVCs9SRDOyqRIpJBdsHaBkZ7c7frg+dkmrO3fvru8WQygiRMBUkwD1GxgQDzxR/aR1922tGLRALq5z/xgCY6Y5+7NEl/qbldfDC2UFjoJqyvqrXRKIaOnQTbBUyDawRB5gOBwQR29hjq0uPh7rGr0bBZRZ9tWoUSLIwRnkMCx+W2CQFUEkYJ5T/W6ZNLqEaCoaO1WKOkhqZrdHaQsmBMIQS6yHA7er5w3txkc9DT6+v6qP1xqKCZJ1jV4QuWOFHpBCAFQSpILA/bJ6Kuu3ARFvasABK1Kk7mdhAjlQdv2WWuX3nJ4kpTA5RvSIvPg9ragWW51mmqtaNJVpJKsI0ib1ALEMflGSBnj8eT1+0OklmrfhEhWRlcgPHn1lckt2yFPtx2/h1s+h8ZtLWvT9NbtSMtZSzq0FOFQrG1LnlOMYPBzwccjkHPQbeZ/DTxAmnuOh6KOGSigp2knmfYCxBzjA5B2oBwMjA98ddJ0D/Ue0uChh9HCMCfMwBP81zfX+wN4gKfYXxHJjy3x/FK7T3hRXLELncYTJDKCzEYKg7uxweMHB9vcY74l3C2U1kt6vHIJC6ASlWKoobJPy55xgAnH2PJw+9L0Wn5LRLFX1/wRp6FsI+SzSgHKbewO7/OR1nfXvnjzFk3iRBI7Mgx5jkj0nH9Vft/I8dDtn1XayDyrnN60mwQkjJNCl1n06I90bVFTUzxYXamESQklic/N+Xfo38J9Q6Vsl8nuGqtLDUNK9M6UtMzlA8hJRH+X1DIx2znj2x0q63z6arWphiGURZSQM55wCRgjv/b79cLRe56GQVqU/wAQKd0cq4JRVBGASD8pJ5B+o6Z92AkpJx6x8RSF5JuPhyHrzkH2121nXrQVE8VMTDHMCZIo2IBGchCM4wDg/wAO/foEqY5C6eS7+a/JK9gB2OR9f8nogv12muWP1hVpGsTBcFVBQN3CjucAfl9s9D9unFLXR1NSsiUzNlSQcOoPPI744B/H8Ogr1wOSTTfTGi0kJFV18kr4LfJTeTsRiuDsGQO2C2Mnj7456Ctv+r/Z09/GzWWjb7arNTaZtiUk9NTKs7gn1yAepgPp9/8Ad0nPgaj+p/7h6zilpX4tq2LIUzKZBoPp53meNYlfzAGCshGCSPcAfTj8vp1LhnLy06PUlFj4QO27YuSyn3XBLHgcZBOBnJrEEUlOzGNUPmj9oEOQNvA747kcYzyepcA8mMurK7LIyKhBHYDLd8ew47/xHSlBMzWjWkRRdZKqFYY4ZDTvUpIvlHzMhFQsdqjPO4k9wTkDBGeu9TG8s1S7Ko9Su3luCqqSWH1GMEccdsd+qehkiigSCSPDyD0Zbudw9LAjtjdzkcg84A6tIa01SL5iAO52q4TJLAZAGD9cADjA9j26ZoVxCkzqSFTXtZVkmQeWA+FX0gKSAAoXC49h9OTz79X1A8f6rqomqWWUSpIIkhB3jDLnf3Aw/C9jkHqituPPBfPoIKt2x2PfHvtwPwHtnoxub2KVYGs1FPTSx0oFVFJL5m6UcMwOPSMlePYhvp0W0kHel1wuDA2q+tVbbDuqYvJpoIyw9T71j4XuScnJD98nogtdLSVlfTyNUna1PsmCJ6UIlfAGMnHqXHvxjk9BqTU89tgpIKWNPKgxI0JJZm3vlm754cDgDHHRPpYGEVcvxO3dArGQrwjqqbQB3yQFz3GSee56EuLY5X5g/GrLe5Phb6BQ+Fe7zDPSy0ktNCxlhZZt7KFYmRWjcYHsFkb8dpOR1+W+9V8cM1HXxVKVQBlk2jaJC4LyM27ghm2d/YDBOQeruCCSe5efOu7FNTwbHUEq2Gzk/Ve55zn3OcdVmpLKpskojwJCXVpOyqGQMAMD5snn64Ht1zDtjpXFcO3KTz/zNdS7G6mDatWyt4mfhRNa6iVFZqdp6cfDsfLhjRjjeWO5sd8+Z/AAfXogakaleUW2hZfh5UkM2SjqqLLvJ3ZU4AAznJZvTyOKKqr7fb6qkoZa+Omq56NnzOxAkbIUM3HAwDj685weCXUdNZmq5bjLUiFjFLEwTO2aI72iPbuCuTgjg5xg+nAOLtw4DdFQSmZicHlPlPP0rYqD6U/2QCpUbxnrHn/mp9NrPUd3pP1e9bULTNIKuuhZ0Ma+WoO4rnPdnyd2OGPGOIdfdYzTGWoXzTHTS+SkbASRurs270g8gBxu9gwx3B686TnpKywVF1oKhpKGWImSVYv2iRgbgpU8Bh7nJ4Pvk4C7PddTCZYoIBTxzo8QVlCySYVUyVIO1MOuQMbhu7njpY6260pSWkgoUTwqP5iAckAmQCZHvotjunp4zC0AcQ5AkTE7HEeyKYVReLpSVEFwM1S1JdHkzMxbauXBMZx3UsvIYkZz79EOm9TXCGv/AF7LuiogjpN5W5VYOWLJtYhQVJUnGG5xkgg9C8tvuuprqJbq7eXDKJfKRQWAUBGOABzhjx/ierbTdua7XOmtHnTRRtGFkeIEgMGddx3AkEBV+oyR9cdHN6Q/fKK2W+BPIb53649TtQj+oW9s2EOL4jzPlTPp6K06ssVYLpQOYZleGojaYMk0OSAUZcDnORjtke/S4r/CybWdJHosVtDIKtXbbNGxj9Eav6wuMg7V+/Hv037JYmTRkd0SsScAlpGRAhdlwGc47lipJ/D2z0pNVa1l0rDNVWlozLRlCz4yctF6gASB7D27njPbro+qvWdrpzCXxxLCAIB8hIkct9qw+jtXbl48WfCCokEjzMGD9aWviD+jbqjR9shuGnr5S1nwY86pp4oVp2dDnszE7sHIwQCMZHPSlq6WK3XYR6jtlS00ErCNJZHjiikHDKqoQ2/IHIxknnk56Zd88S5L09VLdLlURxQh0gimyu53fIcYGMjLk49wCPp15N7oLjYWS/2CjuVbT0bLbqiONhNFgiUMoJG4rt2gcMcgeoYxze5uG1uSlPAOgn5nNdDtfxLKOFauPqTA+UCg4RzxXymu9HZjRtEqbAhPA2hi7eYpLD5Sd+7jABIx0Fa/1DR1DrHNY/JuAnVPiFA2up3bm2tllcsRkbiMLwMdNjwooK+9We7XErS1C6frlpi8p3TwU9QQ0bhO7oAu0bTkHAHJGFd4sx2+jr5aaB4JRUp8TTOWJ8tVwRgjcCco/uSAQCQcjr20ZcbeBcEj20Qq7aeUWBhSRXvSlxlrdOVAepEE8cqtGUzl1VSWjGMnlM4J+i/iJEeobhpO9rS09XEtypqohJI1UI7Z2birD5D5ZJBHOcY7dU2laSss09ymu1NHE4p6Tyw+SMTQgqABk8qHHH1PPc9flPBcKuvrrtQQiorIImaFXUB56gvtC8YA9bBio7DjsSRYppvjWDHDv5SQPhVyiQlJ3p36atBvWoKCkuEtdWyVohkqHgUR7YF2O7MQPLjPljgDI554wW0pS0NkuVnrn0wLfS0WmIUqanEgDzTsp8tHkPIX9mxOSowvsPSuONN+It0pKN9M3q+3Crq62mNFDFS7FMbZG+QbiAikZRBnOGyFx38eIni6mkdD1vhholYllvEsb3J4T5hYRggCSTgMTlhtHsTkAkg5240p67uAxGPLbbecYHQDMVN1YQ13vFkRj6R1jFOqt8Sb3qG70WmbFrm2R3m6TxJTITJGrO2FCxqh43ZUKd3JY5HbrRWj9D1+lpqO9XzVDmpooFmqBNVfshJjDYwFYpgEgMgJyecdYT/RzN5qKu43HUFA9QKaFJaQS0qELIGUs/qXIwgbg8nPHOD1oe/eNEc9PUwWyB1rZaSX9q8pZw6suFxyo3RhiW+o7DkdBv2QtX/wraeMjmTAmJ5D0xtUH3V3CApPhB3EZjzrR0eta6iutbaYJhFNKRtiKBmG5MgsygDBOAMc+oAdj1XXLV9PABLdI0io0mSNtsquzsSTt35YDGzOME4JJOOs1U2uJrlbaaWnNSauGR45BEzTGdGDBdoOSu0gKoHOT3AGBwp9TXKW6pV2rUkmKl/iJgqARNLCSf2kbdmzzkLjOPfPU7N91Cu6uFFSAqTOcTMfxE0I5p44ZbEKj4/frT9qda1lZOlRRUj1ski9pXAD5x8xHHAzgj3HuDkRrl4uaipqupo6FF/VkiKspQMxYDIx6gDtDcbjhjtHQ74aUC64vFGLjc0annZdk5UJGwZdwITaAgGWwMYx2x1I8dtO27STXSpornLJDTbS0VMwCr3X6E4G7tzwfx6Yv6x3KnF6akoQoxJyZjOOh51QzYoUUM3ZBUBMct8VT1Wubd8VDT1D+eIyGqI5AqlA3yEsG+YEOSoHZDnI7+ZNYwxrJS0lLEsSRCQSlkDTMTlQFBGcgYwvB54ycdK2eslpKOKskKLA/mCOOngwzS8tIMfKSSe591/A9D9yqZ6d6uOiR54XqBLvqkLohjbhCR33EjA5HoGfr0oTZ8TZQoAFXPn7M4+4NM4AVxJ5cuVNm43ePWNvp4q6xUymiExVsopkAyWV487FJQkcryu45wD0MzCvopJKWDMEU0ckpeNY2lMjMRxjAbKkthfwJ7dAstRUyXGLT2FZKmmVayoVixQlgVDMOQTklgMDLEAYAHV6dX02n7DNBW0zVRiJlhkkIgBdlCqgK5BBzuPC5UMTgjpvbtd2tRdJhMECMEyAJ5c+dDKSpfClsbz7BuY91eoKWsvN3lhepSQ+XCYyoLbUDjhQThj/AKQYb08A98Dri9Ky3pbZcLlAj0xMEkSlgsUXnShgCT6j6A3OCQe55yF2C83fWmsGu1JNJaqITI0UEJCgQqzYRx3csCScH97jscM+ssurL1fLjAmlVoZbjOtXT1csTEVMMkn+kOzj2BbGAfoMdaOzbQyy67eMKUpyA2cxxbZVidxtNKrpbi322bV5KQ3lY5x6ZjY1S1ltNVbFkrIKtY/MZWQ+uZZBgAAnlcYPPudo4Jz1I0Hom7a2DwU0U0JQGqaRQCxkzhIs/vEMvf7t+bU0npO0xS0tw1NL58Rr56l4pcF8lWwMkDOMKM47e2D0VeFlXYbZZq6I0UK+XVNULKV3MyhTtHB7KVJH0yem5srO0WriSAQcpBmJiJpd+KuX0AJUTP8AuiJoTXS2qqSB7fBT1ktWQUWPaz+tiBgHkAD6E/Tv0rNb6K1lQ22XUFXZa9LbMxhaqlhIjaTG7buIGDhf5fj1tKl1Tpumjkmq7nBTxoijy1I3GUhmxyc/MO2R2Hc5HXa83PSOtLFDaLhOlTb6holSlnZTCzHJB2KMnbjPtz9eQd/pX+pDVu2kLZCWxAkGcDGPpXMNW/03XdurdS+SsycjEnP81/MO4TOp3Mg4yAQOT9B/n6dUFXcHijYRnc25TznAI9vvwPfrX/ij+jRpOHTd61dZNRVdN8AZqj4dokeOTALJCiggpyVUFiS2cgYBPWNb88cLMV9GWwFIP88/3ddJsNds9aY/EWSpT6Vz+60G70Z8MXiQFHODNVlbWTGNW8/BDcHP2/nxz+f36pp7m25lkfBBI9R7A8njr6vqGLBmyBgBSeOfx/j+XVDWVbHJJIbkk9sk9xjoW6uKaWVrNdqu5PJISXcoT7/1c9sZ64/FP/0jf7XVZNPiRmRm2nO1mHODnv1x+Ml/rD+X+HSRb2a0CLcRXgshVmV8+gqd25s9wCPcntj7fn10icBFijl2oQAxUkByG4YDjAOAPyz+EWMqWYlwZH/agq+SC31Ptx+Y79d5HdSzhNuSrFduBGxz6e5yAOOfv0KFRmmiquImaFGgaKJQh3FQwIXnaeM4x8oGSQOcd+iCSWnoGjjprlGQ8Hrdd/lyF0B27SpO4EhcnuVyD79ByTA4VSADJlQGHbIOSc8e3J+nv26nU0spG0SMFG7ByT9e3IxwTxnuB+HRbTw2AoB1knJq+pponKx1L7wQxVwPp8oIJ7cEZ+5P26uaOpklKKI1O1AFHLYK4z24+2Px7HPQ7bczzpH5wVgBGCpJGcjBIXk+rHbnn7Y6uaWuctvVmWU7FDK+wYAAIHHbA+oH44PRLb4GTQLzBOwo3sccrSQVEVU6vSBQ5hUBg+8gYOfoe445UdMPR1Hbo/MEjhVdtxUuFUnIzhDglRtbP0zn2OV1Y3pvLLs0ZqI5RCUkwQS2eeT6RyT9tvPJ6OLBUwV7PReZ5ckg3+rI2s7qGA3DIJQgH8PpwJXzzybRarUArjE7TQVm0ybtAuSQicx0pn0dNpBf1cVkmepaqDSMSOCH24yCRx6Tk9wQeOiCqsloqL5baaanRaeqR5WIIxk+kvnOM7cc57ZHSCvGm7zaqX4zT9dEJJzIqrUzYZfmwQOPYgjAAJIPfpm0GoXNptayhI5RbFMSmEKpAU4wo7cgkDj6Y+nILl3V++Ub078o58q7FaN6Z3SfwW0VZeJfhNSXiljudKj1NVSUMkyTU77ZRwTvU8j94HBHt0PeEJo/1vX6K1NToLnSoDTh3VPMQD5QHXlfUG25G314PC5l2fxWvVLRU9tpZhEJKKCKTzYhlApcKuCMgehQR9ByOh7XOm7rryKo1jZapEuFvpEnkgVGWokAyGkUDvt2MWAJYgg4ynIiL0h1Ku6lfoPEDPEkxvIz1ohdjxNKQt0hB2E/lIiCJ26b1zsFTU2S81+ltN3vFukYSVoKkxtF6iQScE43MGz7EgY9nHa9N6KsFhpb4lQam5VYeOWteTKsdvBAxkDKpjIJyB9T1mvQ0kdXJeLfcrg1HX1ywPHLMGJdkOSjY5IYhgCO+M+4zoW21uk6rTFt07dtb2yhqRFKKlXqfNKEsEIJjzuyOBhuw/Drnty2pN0VFfDG3lznzzI/zWzK0lgBI9Y58vlRU1fYfgDcKeny8hqfMkXDSOpYGPA98Dafr34AGRW0rU9r1nLDR0uUjSbDSPmJiHlBII5zwR3PbPY9D1ztunbDHDSWrUkVTBRyJBTEHeMiPAIGflIfls4yPxPVZNSTWi6SVMOsqO4NWbYvLQs0cU5Zd3tjlFPv3OOT010jX16e9xPK4gJETE4j5UmvtNa1NohiQZ3g9ZimrcdYzQ6YuNOKrIaF2Z920BtpPA+5Pf6nnpT6kjo6mC43VbjIwSGnDRFSrMUVshSORkEnPtj7dVmrtb1mkrLarUVpLhPeYwhqPMIMeMK6qd3qxlQCGbhex7mpfWFBf6WqpRXCKV9ybgRltoIRV/ebOTxgkc5IHXR7u70fUHUuvYTAzykmeXumsNao1KybWw0eJYJx5R519rOCgWyy3inlkaallhkM0MTvHIVlYkOeeSCeCVBPtz1UXyvm8qve0VfnUXnRu80cjCLcYySzAE+sYkbOeArdwDjvXmpo7LdbHXLJHK9TuZFlAVleUMpx7gDGdvbn69B9V4beJ2p6aotWk4wKC4VEZuDNUJBGTwFUl2XjdIR9+Oh+1FnaW7YftSgBxQGwPKZT99Nt6I7K31zdLLV6VS2JySOYEK+nt5Yqo8OvEyHTmoq2WzNR0tNUUrQfE1Eci8q4MbkISdquucAEnb9Mjos114f3zxW1hbb/AEdrW0NWoKmskeDakoKKsjgKBliJF4AA4J+5q/Abw+pLjrWqt9zoN4s9BPUhZowVeoidU4zwQpf/ANxsEA8GFw1XcYblPTieTdPTkxK8oZhjEm0A57EkNnOPLI9iOuf3t2u2c7u1mYnPu99bm309V5fC7WsBKREDmTnPkOVevFLRVzp6VrXTuk4kr5p3K4Cw00agw0vmk4cKWY8ZCgEk8tlY2C5VujdOU1xSVHqaiKuoqgzEshyIh5i85LgsGGO+FGRyeoeo9cX7Vl/nq75qGeKBWZZViQj07fUhLfKACoJ9885OeqW036o1XqalsdJQR1FJLPmOAwlvPllJBcY+XBVcfTYvv1faWbyGeF8ggZPx586YOvNzjc4+/KrOximrtcxWO3U1RLPVxpPcJQVDEGMejCjONuSwBDEYXIyen8+itO0slDNQWG2CR4441jiXylLDG/IBDBSMg54B4PHPSz8OLRbaWAamnWpV72k37TGJKidhiYIQpxhgOG4AK5Pfp22SuoNGx09PUXWnSsp5RC0h2qWMuwKoB2srESd1yByByDki8sWrixVcd6UrBCUpG6v+XsHL0ilH9Qea1BNsESkglR5D/iP39ZpgaA8JdT3K10sIssdFbWjqFkpwyIVDoRtRR/WbHsRx3OOgjxK8IdVUdxWaOCW5FSYGikkJcqc5AJJzjeOeThhjtjosPjHPFU/BUt8DQwBxG0chhEojG3cwJwN2cZcMWy3vnHBvEO6ai+GpIrjHBNc6qBHnkG9EDL/5xT7NuGTnt3HWXeCA4hu2mQTM5nl8/OmTfejiccAgillaqKvs4ipLjUC3xMZGg3wuT5m0rgnIIBV5GG1WO4+/tWaqrqay0j3mzy1lMGqVlMkY2iaNztbA2gbiM9v+jwQPY4v8Mms6NaOF/Jr6cpKJZ2VYyUJARC2MBg5IOeeDjvhPUNBq7WOnjbqCGorHSnWYxedlwIzIGO3GeztgffHPUU28qDylCJgj96ObeOUxnetG+H+vLXEJzUW6Msx8oTrKFd3CoxbKkgAMQecZ454HQH4s+JEAs1VSU96eStu8JUUedyoN3Mjn9wADIz6ufYHpR6e8Vbjpi2zWaSmpI6nypDI80Lq4OzGBgHccoAM8AgA56maL0rQ3ieW9avrppRNE1UaYPl5iG27XY8+zcH68KM8xTpYYdS49sNo3M1GeKSneivTdbX3nSs901BPUxCOmkFBQq5VGD+rBwS5XLg9woOcnqXbK+4XCxU9uqRSU9FBOJ4GjLJI6gk4BZioXecklctkbcdzIqpkiiuFPSoKalmiYw06jLKNm1Q2eeM5z75OPfqOlWskFRSVXwSP5SRKyMmUzGNwUDOSrYIbIzjA46KesHVuDhbnM9agi6aQjxrgVbW6r05T6pj0xUUU8KyzxASQSKrlnj3ByDgZXIwCces5II5B9Y/qq/XwUdKvkW20JMZ0U7pZJMZJJ4BcjKgcYUNnLcGbWXazVNfSXWnSWeuZxFVftBh1YmPOB9woOfoD9gcQ+DdPR0NVcJr2rV12SscptyVyCU3e7N6+TnsBzyANN2ZsrYuh3VF92wkiQccSo+QFINdvHmGynTRxvKBg78I6+s0P+EVx09a6xau+2yGSoqawJAiHakW1XDSHuHUcIPUf3Rjt0/wCt8TqWlkpJ6IioSopUt4eNcAJJVlQyKR6fSQQO4Bz9ukudNactF1pLVRL6IaRZp28xQTiWF1B5w2CCOMkgc9W9bWPG9EYpUEsLxuXjG1YsElck/wDqnP3z1udZae16+76yc/syAgD8qQANhtWM0jutEsSm7R/eglZO5MkiTvRNe71X1FLbh8QYnWpmM8cYYh4dg2A5HB3bT98jOM8xrZPcmiEFOpHxSgOd2Vxkc/luPUenuPl6fpKOqilhlauk3sowG/0XfuecE/x+h68z/DfqqmknqVpFgywy2ZN67ScbAc8sODgd/vivUuxlyGnU2x4lrJA4vIDmJ3gxUbLtnajgXcDhSkAmPM+wYkV6TU1VPdfJVqfaHkjmjnBkJUsQWXkAFVUjP1H36Hbrda+sr6O5U1XVyR1m8U5M/lLJImGzkbePUp9znOTzjq4tV8qLxd45rHaPjbpG0cZqZKfEUdMF9MYLHaCCr8nnG08dyDanu1adX0FopqUJbrfWrTRKJCY1DIPQCQAAShIGMd8ZAz0FZ6S1rlmm2tWC0W1eLiV+XhgLATkneEzwjerHNZe0q9726dC0rA4eFODxSUniwB1IExjrVtcdVa2s9FNdbDd6tI6enEius5i8qdYgVmIwTlFUjHzEY2/TrMOqrw95r6m5zgGeZzK2xQo54JwoA5P2989G+q71dUsMlqjqZaekcSloUb9mzGpXLH8OAc+49ulLX1iyMSUYZG35uD+H27cf3cddI7MaM1oFoWkQVE5MQeWD5dKwvaPVV65dpWZASNpx6+6q+4SJEZFbDnJGFIK8HvnnI/Pqkqqhi7k5ySf4/wB3fqVVuAxXd26q6mXLMGBJPfPfo65dzVVo1gVwkYFuw45AH+PXLYPqv+0OvTISoJG0N2OOue1vqelK1EmnCRivETbfQ5ZdxKqRkAZHPGRjvn+XY9WC05+HaaadAwbY0XG5VwffGBjtnOeV4Oc9VXo2NtdSAxx8vbAx7/b+3qXGBJMwQADdsBc4Knd3wckjHfPv182uBmrnE9KmK5jYuZmIcZdQpGGP27cHHt/DqXAkjN5Qfc0ZwvpOQu7jjvjk/wAeodMqztsLhXZAQSSCcDAyQM5LYx9z0/PBLw00fcquGv1uJRG6maCniLkkIu8KwDKRv8s59WQp3YIwOhdQ1NjS2DcPnA6bmrLOxdv3Qy0M/Sq/wy8Btd66r6J4LfLbqS6QPNSXCrgk+HfaASquqkbu+AOeB+PTlk/QyvtJY7i815hrL286raIIYg8dXBgl5HYsGj/dwpXJP49OJ/FvTOjLfaKKeqCrsl+Ei2eaqLHIAQyoxWIhT3GcANnGMi8ofH7TtRBKtBSSCuqI1ZZJCYIoYyMh0UBRsGFyx7jJzzzzZ/t/e8XG03CfQn4+e1bNvsfbhPCs8R6z9+tZsrf0X/FOwWuS71lmo6iCN4ovKjqA8nOCWVBz3Uhvf1EjjnqFFpO9WGZbfdaeZahigJERwocK+Ac7VY8nuRzuPfI05R+LlnrKqPFyltdwijMYSokLKBkszJn2YELlgDxjPPQzcNQaGvt3+Pr4MztSTSMRUOUnVI2ZeNoClgdnsMAccEdEWP8AqZdBxKH2hE5iQYxtPTzoS77A26kKU0ogjacj2+tJeaskliiECKFEcjviIFXO9kJx7cBQPuPsOrS5V9RTNbahcrI0LZLLlT6SWH0HcHH1I78ZjXq3k1KyUDShEZAwj3MrxMwbaTkBgQwYcHIxwByvvU0FUJaRIKKpqdtMOybS42DgjLbcY3Z5PHt3HQbe9ttU7q4ZIUmZ+GQayT1m/pyHWHPCqI+PKoVJXwy/q96f9lIsdIjSAFfUMFt2c5OQefcg9Edq1dbNL0FZc5vPkhnSCDyyiq7k78bCcY5YjPuOCOegWKCtNPBG0DCZVgcRyHaSFQMGx+9kMcDH0Hv13h0+K6ytTV+6OSNo2YxHcQ4y44B5Axy3BycE5Oeou2zTaUutJHEM8v8Aia+RcvOLUy4o8Jxz/wCQMVcap0Tpu5+XeIK2spKgL/onpgVkXb6Qx8xWz8uCowAcjnsAVmm/Ea9W7bZqe4GOAmYmF2kATzcZOSCcFQAWJ74zyOmnbb9RapuFPp612xRTUtNRRxFmLlpCo3qx54Ls5Pc+gAcZzM0XQeLGntOtS6aqaBHqvPim2sokqQzDAl3rnC7W4zjkZPv1yLU74POd+pKQo9efnG1dOtrdy3bDCFEpHw8p3pN3HVepKOGqSjtslatHDK9LKzsFUPKp8kqPSCd5fJPIx3HXSl8Vta/CpNb6A1FSu0uaYxr5noIISFVOOe598ccgnp4Un6Nd1v1tlud4s9HHvkIWKKscLNuVhkurBRsOz2zgKD7A1Nv/AEX7ppbVU+oEpKs6fttPDPFJ52ZKhwOwEbDapcgEMMYOe/BVKXY8JS4E8QHFmdvf8PhVq7y9gqZByYg/fxq58NtEeJGsNC1FRrGxUtmpZyJaWgrkdqwhjzLGhHmK5ZSQTzkAg4YkgHiB4KXPw5+D1JablU3OzVLiJ5NjRS07h8lJVByAOfVheccDjLK/pppqkqqGo1Ld/ir5HI7xATMtNE4BzH6AHZQV2g5PdSB+705NOxt4nW676PahpDVJAolmiG6Oup/NYeYC3JPJDBuQeCTkEEae648gtIRCVbAGfbJrOPXnDf8AEs8SxuYgHqKQFi0Pq/VWm5dW0VNDT0jq9XHVySFY2Zc/s8uRtwQQOMeoHscdBv6P9e971fS2WW7T0r1NR5r1MRYGMdtw5+ZmRApxlSxYfQtvV36F3ii9sa06Yv26nqamOolp5alkgCpGBGuxc5KEuN2ORg4z0Tfo/fohX7w2mqtU68qoGlSMhIaclwsa5YksQOcnt9QPp0x/o7/CnvU4AHpgz/NML26bdt3GmjHFXPxA1DQWGhS308KzXeOkrmpqcIztNARIACr5Ll0GcMCTuJxtGelNU6fqKHwvotcVEcK3C6LIlGxQmWOnEzzNNuYY4LooJGGDHvx0/aTwgpblrOfWWorjDLM0Zhit8lUEgpqJTh3eUHKbVK5C9vTlhwDReJfiJoKHTNJp65agtlzhhYzVjW6MGObYregYKjarM7kkgYRFJxnbiru8766JQk5Pvjl8abdnW12toGzkkyR0FYev+lU1a1dqGklW2WyuiM0m5zucxR5cInf1MpUAHGQ43EAnqh8NdQnR2p6OusFpWpubSGGBSvmOhJ25LcKuAfYAgZGRnPR9rO4/0jrobZZaFLfaKWgNXTUgcs0NMWJ86ZsAtI+7OeMhkHGQAH3W+Wa11MlBZLStJV1+0EI7O/fBDORwmf3AuCeD2HW1YUp5gsLEhXLoNs/X0o50JDnfTEfeKaVmr6jVTTNOWqbfaEjjeaClZqOMDcyLuC7UDTE7WfvgHHJHVBatQVl5goaKho91atSy/DQ0f7RlEsZBJUZySH45IC59z1K05VUGi7NB/wDzjRxVtVK1Q0VJHOz07FAEjaP0xvhgM+tsZPcjHVg1Xo/XM8cl2NBpXUjSjzLgXeC3VoB+Y7Fwrd/3QRkAgg5Wi0CWlQU+AHBzj2dPMVRfFTgJRHERkc6Paa23mrp6umFLBb66igSpMdQTG0SJCHYDPD8hWAPOTx3JNLcjUT6Lpau5XqkpxM8EVKh2tNMwnG4Kq8jhsbjjAGAe46D31ILMq2Sju8UhmKxZVmHmBh6iuQCULMBuwB2x74H79J5OlrVeJ42MjzxHzJBgR7lxtUk5ZgFAK9wAScZObV2yLq6lvhSARmPzSdhNCm6XZ2oLkqKpx/xgbk1c27VLQWyBWuuZKmniZfPdi6SERegEe5CcDth/b2t/D7xR1NTa9pbhp+Aq0NsWlm9JEc8cbOskrseMbPSSfZR9B0j7ler1e9PWG1W/4NHjqVo1aP0yNmJWzKQfZs+o9gv26ZmotcTab0VSaY00FhaSVg86KfN5ALNk8kndkAjC84Abk+X9h3ENcIKnCfQDqatsLsXaSvZKPjPKvfihrah1n4hXS/w0AhhceaVVBtZi24sVI3KPSuAcEnnseb+41FfYrzQwVAnpakWKn3s6bCrLw2exJJB5P+/oS8MqTQtM1TX6zvExqWpmmpdjI5lqc4VGLNncB6sgMPqBjd0zhqY+J1ppLVMLfPWLE80VUIBFIo5LRuAcDBK8LgH08cACLbaGrllrh8AxmrX3FKtllO4zU2SrZkZqcqoFHK292yCCQgyfbnI+nQlZ6haiurJ/MiAVl2/tPUF2xgFhntjOD9zz1YaupbpUikpqTT8nmF0jKwZZiitEA3p4wSWJ9zgnt1T08FVatV3O011TT01R5YzHu3pGSmeSM7WXaM4+ox7Z2lkzbpQXMAkEcthWJv7h4rDZ2FXVkFPFVWCvjjhjaVdrLgYkHmKdx449z/P79Hkw1HVzww0lUPKjqZ2/0zKyN8oXAHykj6+x+56B7J/R9tH0N0ie4Xeuarjt/lUh7rsckAtnsY15Ge+Me3R/BHfLBb5rjW2uph3eZtDhTII/OGCF4OBuBBPOVAPfoTtE3ZO2CW1p4uDIG0nP7xVmgKuhdqdmOLHWBiibTWhfi9Rx1ur66kgpLfSCQMG2h1wAUYAfMpyRxlsDtnIMayzaAFtFfEauojp9kaQxuSJT6ScjB9ggznvj8QpqLVFVqJK+nnqx5lG6wzxSIrMuCeDwW+ZFyMg4BOOVAt6F6la2np6SpqoIhHNMhEzjYUXMTKecDACHv2JBOR1ik3WuW7KQye7aBPCAYA6xnetSu10555QdHEsgTiZowrLTagKWzVeoKaSrgdq4RQUgGUJB+YZzgITkEgjkEg9DFYlGa4UFVUokc2+KRo1CON6jkpjKgjjJA/PByO3YzUmp5lmrpFqbpGI2cSF5VLsodhhcgbQ+UBx3/rHBlZtKU17kvMFTq+ShSOnaqo6U0ios0jn9gGLD0L8gAAxzwcnnfdm+1txZaimy1NwFAJ8XMEg8/bWD7Wdkm7/TFXempIcjCeRAI5eyq213pvhkWlhqIPPlmj8iLlljZWK+s8n6fkffpT6h1JT0d6qbpWkmNaikqPLjKZP7GQA7T6TjcM9/f69GlMktAHppiYVhmAd2kwFJZl+djgd/c/bjpG6wrKe6XWWppiTEERBkbclYwGGMnjcDg55Ht7ddQsdNYZdfUgYWpRPnJ6+grmVxqdwu3tkuHxISkZ5cIH1NVGq74LiYkp9/lxCVjz7s5b6YxyP4fh0DVj7VJI4Jwc84+3b7fz6vriWCqseMNgHPufx/P/OOh2scDPpBA5/H8vfv0U9DYgVZakuniO9VVWxAJ3Afb3z9fr1XS7SSXOMdh9eptVg7juY+3P16rZWDcKOc4GDnjpC+uTWjtkYqRA71XlUkjsUUkIoIwGP09u+Oin+gif8ApRZv/EH/AA6BxI8eNoJwd2Pp12+Oqf6j/wAOhCvNFqbUfymKi08wZ0EshUMTyPYFe2f+PfrrExIBTlt4b5fbP8D7dcoI5CkchkUbV9yfSPYkY7e3Hvjr9ilKlZc7WUjhcDHH3/4c9QkgZowgHarOik3Z2IFj7oy8FM9sHtnIGBnuDz9WHpnVd0oBHFbp5qZaSmlpiYT+0bzFIYseM5G4bc4A4A+qxikZ3IMxckg85JHOM9s49RP8ft0UaZmfLlzIn7elZWHPIZiDjP2H+eeg9QYTeMd2sUVYvKtXu8T7aZFNealo6dYKgoYRKjNlm9DDIjIJw3I9xnI747Xdrv8AX2q4V4pKmQO7CJhM2PSowVLHPo28kD6jA4z0vqGuZqlpJI2kAikYSZOVcORvz+K/fGMDA6KIqK61dE0NBQ5qpWZpZsDeY2Rs5J7gek/kDxg9ZDUNOatbZaXUDh5EHY9TPKd61On3rlzcIKF+IbgiceUc6uG1HeLiFrDIUK/Od5ZDIVkYEq3DcKRjtx7jtdXquunw0bVsamoMflRHLiSM7skDHpYHDkjOMvn8Aa0XS5RW4IyEbIikoUFQxd9vce+DyT9x9xfWasqpayoqKidkcvCiSSx5PLqrAEfQOT29/px1Ox0RWoAXCUpCE4zknIHsqq+1UaeSwpSlLJJxAAwTHn0phaPkpEv61V8lqKilgdIo6aAkQiXaQGYd1CgDjHPPPGCaXvxFsltulexNPGIZvJaQzgSxnLLujPfbwqd8HnIwMhUW/V9VabnFQSt5Mk89JUJE+x0kYIiyK24EfKS2f9X8Oha8XSkv97+Ke2CAT4JghICxq7PnBOfYgZPPp9u5td7N3gSEMOQFcgYHOh0doLRSybhEkdRO0U4n8SbetNLBSW9Vmp90kryKrugDqrYcMrKQQzdiPTx75u7HbLPf6uqjSKOO2Ts1VFcKlmpvNBBYADklsMuQA4yBjI+bNNnukRutdQifzoqOm3RLMuQJRwqgYIzkKuWByCec8hnDxCrNMVlqkNI0slNE7eTURx+lREFUDC42A847bQeMnnOPDUdEe4mlScpgnBxnHlNPUJsdXagiNjtB8s+ynnddN6H0VVk6ehanglhp5ZWWTLxSOoIJO0nJzuBOAFBYAjb0zNC6v0BR0v6q0s00qUcaxFpvLkiqZ5i7yZ25DsoU437Mj2GCDh203O8yUs71FfW1EVVEpnVX2ybSzAkZAGMLtz7Bu46JKLUVwqaKSnpDUU1A1TF8U6goZpMbhGcIRyGI77uG7ryEJS80pRTBJ59BTfuW3UgKOBW2jrCnqK2fzZKf4eqjdJIhJh1CkqSUYlfUccHOMdhhupM2qdI1Px9DHU0D/q5ts8auCFOwDtwVBUe2M7Qc9wMk1WrtT3HzoRdqiSohlAmLzDywGk3DPOD5YkJAVTjeTz6sebF4gamt8Fxo0XzqKzTUsU37bKNG6lg0hznIZk9Kg57e5yB3L6go4M9d/Z5VJTDaYzTY8Q/AjSWo5f6ZUVtWOsp4RL5MFSwMzJnbLndg4bgYB3bf3gOS79E6qudi1DVaekhLW1YHlt08i5aOEnDRZ9ipCjb2GzPuQFdYfF/UFDNb7fV3VY6alamSOKJGcPHvYrnJ5GWAAzzjnkctHwf1PZotX1kthiqai21iee58nBgkkJLdyNvqbOO2M842r007NrcF6hlyfLmBG+eXSkGs6ehMXCIBBz5zyrWEVSXDIViVgMjnhxjPuPuOgjxf1bSWTw+vdS1UsEq0zQQttJJlk9K8A88sOCcfUjrpFeo6qlWrgc+aVImU7jggelRn3PIyfpzx2U/6Us63PwXvwpKs+Ysat+yz+zYuvrI+oxkEf38dMv8Ai/CucG8H5Ujt0JW6lK9iay5WS/07lqbRTa6qrZpq3RQw3etaoDNO4SSUqFGAxCmRsYA3biOAuVD4k6z0RarnNpXTEkbWagiZJpUjLy1UhQ5ZvUvpy3HJPZiOwAZXVElBpO6pQVzipqIphJEqkEo7sp7njIA7ey+3uI1i0gZ9WQGOoin4mpHJIEm33IxwcAkd8HI98YGx0lKFFSlEgYAiJOMnz6dOVbB287sBtCYx8KMqHW1uNJVpQWt3rLgqQmaaUzSSxlcBQAByGAxj+qMggY6qpbBRWO8y3G8/EJUIV20sqmPBzgd8kED27A8Z7Ex9DLFNc6anmXE+4pCFIUxOVba2cHGCo/HP3yDjxE8P9XVAuaXyguFfVRSbZKhN053hgco3uCu77EYPTFoIYue7g8J3z7B7KHurgvMShQCk5GPpSkla66q1Ri2Uss880VVIIUcZ2r5rsdxH7qqTk84HVjpltT6pqKHR9kkqyZGJp0E+xY3HLSFjgJGB8zE4ABJOB1ETQepa67R0mjLDeTVyb1YyAJhSCpJIChRjIOT9ejS4We96EttNpdKbya5Y5KqpkgaN3ldvQVLKSNu1iMdsZPuc6K8ebtrZLTP5jO+0cp5/GsZaNuajd94uQkwdjPn5Z5Yqwr9F23RFX5NdrKlv10pAPMShRvIhPmZJMzgb2UqQQFxx8x7dD+rxqK4U1DW1MVymjluJhpzJG5yo9ICg9+/H/e6vaKPT1HUNTXaKWouUSxee8QUEK2GUREniTI3E4/eHPbphaT8cPD7w6nd7Ppme8XGBSiPUF/L3AAMGfcJXzn1bsDI9ITGOsoq5eZcDyUFxY8gB7Og+81skW6Vsrtk+FvIknJNDVu8PbF4b6W26npqj+ltzR6sQhQfgYgqhQ+ThCUKsxYZxIAoO4ZBK2puF63QUVFK8hEiQhEC7FUEuzH7Luzk8EqOdnU/WetpvEDU0lwrrsITUKyVOIiAPUMLlASR6h6VwOfcdFenrFbaxDp+xUTzPCWMlxqEYbF4BIUfMvqIK4JO4cD3sSVtA3N2fEcmdh5Dy/nnQ1zdt2yU2VmJPKOfmTXOxaStl71RXV11u9JZaV4FrKKCU7jLFsESFR7DII3H3xxg5Fva6e66eu8klqSulpVEUymOI7cPgFd4GD+64X7HozWntdbSUtLBZVWSjSNop+PMlbLMEXkhU9e4A4PB5OQDe2e13evrFjqWVzTuojTaYWmQgAkqoG45K5A+vuOOlT+pIfhLadup6Rn4U2t7RxlJW6R4uQ8+VUMtw19TaeeCbTlRUitlqY0rC4O2L4hmwWGDtZSoHuMYHuOrXSXhno1aA3a+auL3Oqhjp6iOjkRsJGyplmYD1FGYAnByApGeejKp8ONdRCktNbabmlPVolTDBDGFUQgKzsUzzlF9u2MkgddpNER6a+Ho7lcKyOO4o9TDDUelX9DKCzYZsjCnGMKSMEdwtdvnmQpVqeAqMmOfX09K+Tp1s6tK3/FwiBRdp3R3hHIj1FNS08FFTSGYQVD7ESVFJEjYYDJwxIHGMcAHHU/XelbfeLBW01sqIaiuliZKUF2CQlIxglsDy9vpyBnknPv0ga6u1fpWpmaopBXRhBHujDAVI2nam307t5CjjJbb7Dv8Anh54qa2eKrSONy7wTJSzLGd0RVhlhu7ggY+uflxyCEq1vrwpUpziAI5nnyiaLDbFtPd49gq91tqO4+F4qxdaCna43uGmqI5miwGRN61AIK/MGCjIxnuck9WGkKbUl201a75elaN62B51ctsyDCyiRfYH1Dnj+4VGoKuu1hU0NVqULUfBVkUkG5MFFfylcEuMsNsbDkn97GQei2Ovjo6Ohk2SEqHgCqRwRIy4I++0/Qc8ddJ0fsuu70/ifJEkwAcYj1AxWD1btczYagWG0+IJTJjeSYjn1npVXcLTUw/CU8l2kSKOZnMkG15gdpJLt9h2HHzHgcdcqW632OmhutxrRFPMk8a+hd0ZKDzPUPm+SPHDAZ4/fz41Hd47fGIWV2eKpZZZd37TaMjDZPtgew5x0EteY/1QqO4TyfjAGlGMHyMqAOwyQMe/P5DSt9gLNZMzAIHs4Z+dY9z/AFGvCkcITJB64PHw/KrDU1wuVXFWR1UzHcqxF9oj86NWLBmXJx2yeT7npWXGgcklZBgAjJA78fx5+nTm8NNCag8Upaii0/U0sXwwSSpmnDbF3Eqpzg898cc4JOCMF76c8BPB3TsSHVMk1VWRiSZ6iqdlGAnyIiDYQM7yrAnlR9Qdhq/aXRuylu3aPOeJKQAkZO2J5D2msNofZ7WO01y7eNohClqPEdsnYcz7KwDVUcvmeX5LHOM8dwR/D8Ohq6QZAMce32znOcDv1/VjUGn/AAg1M8iX/TlDWUzBA8s9MqFtqfswzYDAbcYwQAvucgGnu/gd+jfeIbjQ1+jLbTVFXTworqwjdgQCrRkONvGPZWI5P3xrP+pGm3zanIIjlIz6bdK6GOwd5aKACwfYR+9fyerEfcQCQQMH2x9uqqViqgkdxwee3Wrf0gf0WrjpJZb/AKOnp6u3yTSuKSBDGKWLg/PM+5wG9PvgjGSc9ZVrUCFgCeOMdNrbU7bU2++tlSOnMeRFVu2L9gvun0wfgfSoMjDDbmI4yPx/u64+fL/0jfx6/Z3wSM5H29+o2f8AW/t6kV5q0IxVhRyRVEoWp3suWYuBluRx3+/J9+/XthJF8soyuNxBBGcAHt34P88dcFUpkMFZC230r2wQCRnkDqVSwy1BWCEMyEgqoG7JxkfTvgf8RjqZViDUuDM16iYwlAZON3vwCO4P4/4D6nqzs9W1JULIiBommBZckDJ4U9/bPHB/n10oNMagqYJa+gs1U9PEiM8scDlAu7GWPYcjvnHH49cltNZGgnlpmEfnbPMKMEMoAJXJ4+n4A5wequ8SrE1ZwqTmKIqO8I0n+haPbSEDAGWZmDd8jAPJz/cemDTipvVrFqp1h31O6q2upUh0ztHbsd546UlOvw8xaNtyAhcAgekntk+5AH0P26aPhnfauo1KK6emLUlHTh5IzhU4ZE2lyvoDYx34Pvnqi4s0XSOBQxV1veLtVcaTmvrVcKG+0sFta0R09ZBGXjlJYCYby7HGQF5O36AAZHc9XtZcqm1108ZjVGRPPA5AKq64C8cMcZJPH37Dq18QLFFb6CeuskQWOi8uojUwMkcqbcGTY4yQXJ5wAQWBHVZU0F01TTxU1tSeeaUeZD6gBTCZELbgx4GFOcnvIM9ZexvV6U7+EejgJJBnY/senI0/1Vhq+tzfNk8aQJHUUMVF7SsvMU9wkMcE8o/bIo3BNpCc+xJ75PUcXdYJkkmWJXQtTGN2ADyKX3AY5Gd49vc44HFxrrwcvNkqKWsu2ooRGaps1FODNCkfpVjleOcEj6gHPY9D1u0He9c3ypsmlYTcaWkqpIw0s0dN5iqGIcCRu4RdxxkgAAe3T97tJatgFmCBz2EbVjbeyW9K3DE4853+zV9oi66Ys+pKi43i3pXPGiTCAyhonfHoD4OSNw5GQc8EDHRjc4F1dVR3G7QCSorpKj0xgbY4o4TtPBBVRg4JwAFbPHVbYIfB+zLV0lVEJLlax5TyvJJvnnxhmUpgbQ3vn0/N6sBTT+K3ixpasjs1s0ta6yiqLXHisdqnfFIykftId67owwVSVJYZAxgd+dvpe1O6LjYOZOeh6etbN7UF6bbJYbgq2x5daONJ2K0V9JcbTcisclrEZiMQ3PJCYmJ7nB3NtPfjnGM9UD3C3BrDcrdTmGWSrg86Btzl8jbJ3IyMjj7NjPcnzNVvqSU3lyQ70cczVtK0hkQtTxyKGLH0jhyTjkFyOBgRrZSvc5LXTUq0E6KYnMscBDJ6VYrnBJIwcgDnvzxnwtqQmCnI5/frTKxv0XJ8SoOJHs5UyZkSqrbrJURuYqhpHiEh2qoKoxcffK4+/P3PQVST3+lumoyhd6I3mloZJfILRqAsjov0yCARjkDH0GDmguNRUSSw1vxFTDB5UKtM5KRxvMwZQPmI3OG5J5b8gqarV16rqSrqKapSCGCuqnijBO5WiijIfcScsSzZ/AdVtsOhothAJ5npmmi3my4FKJjpTav2m7hbbzUfrutp6erpmpi8tN5m0sIt4ALHcXYkZOeGZvbpt+FEYsuas04mNwVH88sd0anaTgZyeGORjng/hj+1ahut2gEtyqmqZ6iSnqTLIeXaSFSxx27hj7ck9bF0PUx1FltKQFS6whpDhVzHjAAJ4wCpHHPqJB7dN9DYW26pbsTtik+qupWEto2Gaftq1TT06SNJSCWYRB24zzt4fAOdoJB+gI5weOlv4xX3z9G3e1VI82Gup3jLO4D7iAwG0YOfv2xjk5GZlTbKqnuG34+gfK5L0x3JggkA4JYgcggnvnOeR0ufFe50dPZrlT1VNJLPPEWkqWb1pjgttHHOQMnHIJ4z1q3ctxSVKoVIrCL/ALKvr7dKCRPRlFOeQPPlQbfx25/PqhhtF3o6KsiSmM1HVw4inQZUnG6P8CCMc+2OpMNQ9Reb1LJJLIaDdtHfaiyySEZ+gGT/AC9sHnabxV0NrjoqSpWOmaJ5pG25LA78qffbiNePr+HWcU2ptSgjqKbsXCHm0qX0OardIy18UlLJTU7TTl9hXaS2M9+Ppj+zreXgzqvR2rNMw1eoa220l6s6+RK9SpJmjUKiZOckjcBnjt2I7Yfs2oaS01KVdKY43Jy/myD1ceogDB54wMk8t2HJZOkZhLqBLpaKyYUlTEZJYwc7NwAyO/BBHpzwMY6ovluW6/xCRBAO+x8j9Kz6L5zve5iU/GtjeKlfpzQtikrIpKBa+ojc0dKis005fszccKpI7ngc8jnrM+qbtojS/l3KOp/W1+WliVkm9MUFQYQJDGScN6wGHJAwMKw46YiafodUCntV3v0VJffh5vhtx81JPSAqFgeUCldoHB3EcgnGZ/EDwn13pe71cl2oXqIS7YkppMxl8Akt74x37jvgk9Aobc1ki4cPCiNh8j9a0lvesWaQtpJUo8zGPnVS16o7dQVN2mrhLdLlvZp0Q+hW+fgjJLH0jOM9yMAYXQq6yoq4oopZEgkqBubeQqeoZJOcY57n8emHQWK21lDtr2COYsosSorDbk5JcH23Y5GPuev2G1U+gKR46mOd64zw1FrkiKLHPBIMEuW5wGVe3YgjjcCG9u+02pSUDiV97elDvl24CQo8Kfvf1oUtVdJ+v7qS5YPUHBHP/nE7fy60zpU2Gw0C28TyVdXWMzSKxKRxeldxbcPVu4x9eBxgdAGr6Tw/vGhn1Hp21W+hvFIEklNJGKeN4y4zuj3FSwbaCRj5v9U5KaSh8+mq7lT7YcwRVQYrhpY8YZc57Z2tnvlMY7dA377V8yJSU5gzvgCrrKxXZXAVMwnEeZ5+6jmk8Q6O1h6q1PTCNIN0BhjYsOWyTzuxluOV5Ct7dWkmv5t1FNaqVpKijaZ99UFNR5rhQ5IOQvCEZ+uTwQuFPp+1VT1UlnqIWedVMciNH3KrHsOfbsR7g9umlq3RlPoa4U0L1M0rinaSZdoJD78bYz9QXAJP+sfsEf8AT20KDqDT38WVDu1DNX0vjRq67aoWpq77cVlo1ghp6vDbI9ijKoo5K4LAFs8Hn36ia38Tq+8wW631FwpGiskXlU5aJZFZCQcYIHClzkcMPbPAKJ11qCrob7QrJLMFn81pYywO70Rsp2gkAknJ/eG48jAx+T161dZcKF2iGzbJUSq2fNkEayNkDByGYr7j8OrBp2eJYwZn3xUe+SAODceXlyp312tY62kehvl1kC1FrhWH4KQRsgCBvLEa43NubAbPGVbnJ6Xukb3eLfcLlbbdcRVUYSanJiDxsdzArGAR3UFySOMH5iW6/LHbKN7ZUVNxWtuk1TJJHHHEyrkHIaPkk7RszkDP0weeoejbRBa75JVV1Kxj+MSoVQ2CFDgYBdc7dyAMMjOM88ZnY2rbRPs/kc6hdPqUkAUc04uFrtz/AALUhkVkkKVBSTO398Fsbckqfbn3wT1HofEmS4UwpLhSRRbr55DLEeBk7guRngM55z+fUmpqbSzClli31O9wsUsjYwxCkbs4ILAc7gMD7Z6EdS6N1ndqapgsOk45itVHUKaRg7vjYpY8k4yG5A7t+XWntNQcaUGYxWF1HSG7lZuVqAOPhsPnXLUHiXFqKoqqenCwLFUl/Imb1w543bjwe37vuTwCdvVdcbwzwR0S7fJADsMjO7aF44GBhRx0Lah0pri23qSsv1grKWrKFnEdIFVF38jIGcluwIAAGB0TRWivq7ZSVIs7xNIZI3nRAUbCr2U4P73sPwzg42mmdrGGEhu8O53nbHP7Ncs1bSVJeP4YEjMwPOT8aZXhvr+azW1bLbKSOmlaSATVdPuSWTe25N7knsdvpUAHZ989Fy+KN7p3cVt6lrKWhnmmjhwQDIoTOSByGAkAO4/KCR26X2l9KV1FbhJDT07TJXQVUjicrIqRsCVMbDGQpJBAJzxzkdft8u8sUdVNEitHO0AkAILuGUIynIwe2O3t0i1jRdO7TXCryzWFGYV4jkYxOY8sfKtV2f7T3PZ9oWNymExI8Ikb55Tv1mjWLxSl1ClK7y1sdLPIkM0FPGJ2diWjkIMrKocDG0YJyeSeciV88Ub5BTVka1EEdVSTNChWNxJKPNwWB/rFSwP0EYAxuORm+6ruunbXFV0FN5dRFN51AYyoSCUMuQw4LEYzkYOWbHYnoCo7s71tVW3k+fW1sySyyzDCDcGLjH/q845zx2BBx1vobLn/AI3cw4hSgrIIgbGfbB9POuoL1VaUC7Do7pYSU4z5iOpj4+VNy/8A6QmsbPcG+JukMNBSwmJ1WkDq6lTHhvds5ViGwTwMcDrK+tq74/UdfXipgqPiJTIZYIhHG5bn0oOEH+qO3bor1dU1NwoKmpqwGkcKzHOcEZzjPt6D0t6h8Zz37dbXRtIY0zicaEFUD3fGsnqOpO3/AApc2HvzUdsnIBHOBkdz79uuOJPoP49epmA/P6Drn5x/qfzPTYnNAgYq1tVBPcK2G30qNLNO+I8DjkEZJPYe5OcDnP2014T6a0Np2opatbU9wu9Id4eVmwQyFgoyNuEUHDFTnPYcdZrtVwqrbUrW2yYQsUeNd21jt2kEHP2PHH0+3Rf/AEguTwx0hmlIi9Jj8wgMfVtbI74yPx4+gwk1pm5uEhtlfCnnv9OVPNJct2VFbqeJXKtbU9/8OBDMaqrMdEqmSIxS8NyGEYUlQRswAcn1o3pHpHXi5zeGl0tojrKqntNPJTIkdLHFuamIXZucBfmyc4IzgAH69ZIbWNe1eBVV9S/lU4jUudxTAOQuThQTgnGDjP4GXLrCtElQkk9SX2SD5gcSndySO+DsyfcjP06xv9DuArwOkZrT/wBSY4ZUjlTC1NoKy1QkuGlrjKEgGyeocKhMqIWMjA8gNsYgEjCjdznqFoFNN6bgju1dcvjLwJGNPRRbZHmiRwZNg3qN20ZQE/MMYzx0JjUl4jq6lfN2CUHcUCthgMA5HzH1d/tx0R6PqYbFcv6U6l0y913RLTU9LV0++JopIXDkLghdpZcDkHLPwQuNXZu3bLHdPOiOR51jtV7gu8VugzzHKeVEFv8AE6a/3p7DWsLhHXyqsE0cRgKyOpUQ4UAKvq5UHup79FNHRt4b6grLLbbhTXZbVsirAkzFpGQK7JsG5mVXCruBjGE4P7wrqLxlpfCCvqbjZtDabrpbqkU9ZUCJ5oaIMM+WrOGAbacMQoY8csMDrhq7UGiNeU1f4mw11PbrgjSxy26XbsqVDKd0CEBUJQ5BjXj15B2M/RS7K2uGwl8hWMfz1pNbXtxaKUtokTvz29aodT66v9BG1JoeWoWO6xfDvSSkSxmPbtLGPaApIB++Mfj11sFipNN6TbUc8tcLpWuDFLAwESgBhMcMpZ02MBuQ7dynJyuOqHQNPrm4XOo1BaNOzVFOszJT1VQgYKqtk/P6WI9OQMHlTxwOrW72rVs10eCottPNLSLujeaURqoDBm27P9IDhskHByT+OOdShg/hgoQNzIz5Grru8NyFOMQFYEY5jcVV6ivWka2+S1WlcPHDS1DNJUFo55pWOWZyRtR+TjAx+J56U8t6qKySSmkYVO5GRllCjBzls/nx34HTWtuhLXRRy33UlWIooB5rxW9QSwAJdATyCc8k4HIHt0HeKz6GSuo6rQVFWU9JLA7tJVBRJJnbwVXgAZI7nPfjt0fY3DLii20CR15A9KNtbF9UOXR35c6vf+UKnr/D68wNMKSrpI4aGCKnG1ZIinlqDknkJGwz3O7pgaMuslJW28xAwyItMIJI5Nj+Y0DyKU91bccD8j+GcIpRHp24SmVczVNONvuMBiT/AO9/I9M+C7xGtSkpqqpjjoq6lWmkqny4PwMjoMDcFO4gADPJ46KcsgQY2kk+4U3aeSy5A8q0JAlVK9fLNIizxtRgkOEAPnKTu7c5Jz3/AJjpHVNbYoqP4D9bZq3ut0FTEqksqNGuxvYckH+HTeuN1iFvuFyihKpV1NBOm2RgQjVSDEgI+q9skcg59ustafvC2W6QXl7XDclpW8xqeUN5ZyuAzBSCQCQ2Oxxg8HqgsKkhPSmQfSMq2plaIApEhoHgDMtdRwIJWOFLUwG7vxgnP9vWrdBXuB9N00D0vl1VPNkuiKpAyp9Tj1OuPbgDI7d+sj6e1bBqW41FzlSnoquuu0Va9HTKxSFPLI9GSTjPYZJ4/PrS+jb4tBbZPLo4ZKKp2TzySlECHaRgZG/IYEnaDkcenBJJsUKbUriEEnPuFBXLiHVSkzA/enrb3uFBurKeqAjiQyxqG3K0ZIJBXBPPPGM4PPPAWfigl8r6WreKGZ6qsVolkiUBFh3HcpTHZhx3Hc/UYI7NXW2tlFLLFIZJSvkLCwBZGIIIOGCjCgBc4BU59+hTXd6vFwWSyVqTxCljdRGrkPHuHJIHBOTuwfp04dcJRFANNJ45rENDA/x+skdiClDNMfvhX/vPVNLPb6axxh6hFnloJMJzuZjJMue2MYI6NLZavir3rAR1MYWazXGMM5xgpGG3EgcD1f29K/UgeKqoqRiN1JAYWdScZ82Rv/8AbPSdkB59aZ2j5USFqt7cEjqPjUWGSVmiKtnOFYHn3yD/ABzz08PBjVcmmr3R+fb46qOmkl3QMgbeBkbSB3yfTkkgZOMY6R9G485HK7l3jdjnPH4dHWmWuc6G42GpZK+3OWkRWyzRPggkjggliD7Zx/W491RpL7RQqh9MSk3APMVvm5+H1k1hS2PxR0BcRUWlKmLzgWC1NulcqfLnUD1REkbZVCrn5gOSLfxS0Ler3a3CWaGCkfzAYwuJVbsC/wAoOePf67cZ9SX8DfEHU+l9JWzWEVJFWUNRd6i110EEXkNCTHC2XAyrRyAyehgVUocLgkHYOlayW4V9VprUUMkzp+2o5Xi2zRrgbo2wSGZAwZHycpyDxgZzR7lFu+bJeJOPX/PT6RGkvLPu0d83kffy51/N7XWg20dqIUtypZEgiCvMcZRRh8AMCR3ZR+f26VtyuNbWxwQO80pipdiosfm8ttO3aSMeoMD3xk9f1r1t4R6A1dQzQfCbmIJkTy1ZvL4LLk5wQRg47cj69YU8XPC2x6G1F5dFNNBbJUlO1zyxXO0KQMAk5wexyeOenr1uLH+6RMUndfccSAjFKLTeglrPLi1LqKjpaOYYWmhZsjvjk+kDJOTkgFT9CQb0evtMUNwa0UU8k1PHSpBTk5feyqylSNoxndkNkgFfvwKTVtpoRNNXTLPIARKETeMAkYBB9IAwu4HP7mEySQ213ipN/pmMDRioqgCrqW8pSeFAbODyCTgNnPPfpeGFXiitw4GwxE04bcVbtJS4ZWd/IU26bWV+llvF/o5o6eS1RMaFI5NkgaJ4+doIOcPkEAng/TIvNP8AiPd9WWqpr7rdXkneZFi+IeSQjJA53NlF9Z4z9PoT0KWq3pTaaqXgEwatiYfEsBGqvvbKZPcYVTuPvgEds+dEYFnrIY6+GXNwiSN/QzGNREFUsvG7Hc55wT79RTaMuJ2zU1PrQqTU7xUraCkvNRVXqOnqlgkiRAnreHfEuApOcKOMcdsDnHA/a3ppXmu9J5wiqdpDyr3ZpQjHjgn0/QYHv1feK8dNT1d+uElPFK9HNb5Y45ctkquChP8AVOCCBj/AI0hrS4vDeLWlNTwU4jhqoo44VYo7SglgzZI+YYHbgdXotStB4Nwc9OVRN2ERxUa6dr5LhpvdNP5TJqh42d59m2NXX9mF/wC6DwOTz00NPmy0t7a3UQiNU28u9Qm1YUQeYCGycj1gj0gjOBkDnO8lfWXDQFXWzrvNTq0yk+Xx5h2swBHb8OmTourp6zVm6tKpEfn2s4ByqHBOGIPGOR3H4johy0SmJ93upZ+LVxx5fWmJ+qqeXV7yM4jeWXyVaV8gEHhmOckgtyRyQDgjof11qassuuqW3US1FO1uFPTDyndNy5eUklsMfUeM/Rfp1eVk9NDeYY62QwtUhnjqXXcAoOMAH0n1Bvfj1fgFT4nVN0GoY62PMkU0NNLG4TgpsZQSQB/kg+46XutOG6EHAH3mvVONFshUTP3ii7xI8eL7ZbnSQ2mjUF6COPNQ7VBlIUj95jtxnAAxge3t0C3r9ITVd0p5FmpaeEsTIw8tVLEjGTnIX8uR756K6u2Q6mo7LVXXTkdVEaGWbEdW4LASvh32sDkAY2j0hQv5ltk0F4YX2mppZtBSU5YhADudWJVmwXwMMAuMnPOOi0afYPpS86ElXMnrSk2a0PLW3gmeXyFZusniJqNbyaumqhDPGrS5IOzCqS3pYHJOAR9wMdaY0BedD67tAv16qapVt1OlRc4FCqZZQ3mjZg8hu/bPJHfnqj1R4feGlr1TDZ7ZopqegrqBKimq5I23iTH7RQy4BKnI/EYPSpq9UXXQl0l0/SWal8mYqZYo1cLKh5BAz2IJ45xg4xjqty8U6VM6aooWBuCMjqPp0NJndHZt7hLtw3xJnPp0NMPxr8QZrrBZKanoqWgtqtItFSwxAeWiSlAckbiCRJxnuNxJJx0oJL0+ZknmdyItsYHI3hVAB/Jmwerisq7RXhIqx5Jqzcxhhjw+wNJuxknDEAkcFRnj94nr8hudhmVqu32MGVSscqmdQ6A5A9JwF4A3Z+54zw90dVtpNqEBBKjkmdzPMmi9Ru16rdQ3htOEjYAVRarubVFugt9NFKPJeVpsjBGJJAAffGDk/mOg6aml8g1AC7N+wHIGTgHgdz/YOm+l107d2jiithil2l12TZG0+nnJKufmI4HzH2Uk194oNOtRU1nhMyxyTsyilg3+gLgneD+8doOVA9J9+Qe3qiSeEoIoVxstESaUE7gcEAgcDC9x1x3D+r0Vao0otnpTXCSRP+cNH5LquUTHGWzy2QcqAQPr0L/83+p/2P8Af0el1LiQpFTTkSKuIFVpAm1G9WPm7cY78e5P5jommtNW8/xSwTJDNU4R3B2sfWeG7HOAOOtY2X9ELQkWiKTUEus6avenrZzO0L7A8OU2MN0fqUgRnjlS5BwpyLnVek9RVFin0rYNRWiktvxjRPJLVlqYSIw27JApVgGA5Rj8vbGCchddqrcLCWRPmcCtMxob3AVLORyrH6aQq6+atnpqKsmioGUVVSj5EefSc5xzx9RnB6qRCaeWpRHZxSuwUuq8g9mIJI5OCcE4x746c+t7B4k6WM9rqKOma2w0oq5HoVYI6OFKMQyhiSxHqwRk98c9LKa21+6nt9yopFuLOPPjkdFYpuCrgZ74BB5B+uOc+6bfrccLrkcPKDNVXnAGwwAQodRFd9G6gpLJeY7lPJ5hpipD4DDhly233O3gAj3989H2rv0g6HWV1obHPa6GltNHIu+oSjgE7quAQzKFOztwSR+PHUWPwr1Hr+dF03pmK22qMKwmNVmKPIG7MjEluQMYJ4HvwekZqe0Vemrs1vkm/a087JJtbjeDg8j8OvSbbVbguT4oiJ292KDuUraY7hKpT1FP3T1t0hqy6OtzutBQos8k0lTcHdI503KNrhcgAgFhhRjONx79XXi/HoOxXShobNa9LLM1tD01Rad3lyOrBAqsQu4FSxBJ7NknI4BfD/RdrrtAX/WV/wDEa2W6sjpWents1PM7TKF9I8xVKqz7uB+GSM8G1o0ZU601LpqzWa0yV9a1qaXKjLpGY84GfSBkgEn2OOmjVoW7VSU5JoAMhDfdgb0C6s8Yb/TxRwo60sg3JJSxEhFZiAxXI+VlUAAg4PI5x0d+Hdzrta6foqS46shiarbAiZ9swjDKFV/UMqCx5Oc7ieduBaSfoozVYkl1LWSQKih55HkjeTdkkD0AkfQe3356raeweFujK/8AUyXe8JWw0+ImEUUioEZ1Uh8ggEk9jzn8uldzohuWQ2gcJnfFe2Vrb2p4nk/zRDrCK22Pwr1nHb6+17K2kp1plR4qpmPxEaOFfZlWyzZ27SAR1mjVdhqJLFQXEusKUdGJSrsB5isY14+vLZ/Lq9p9d0t30rPY5aQxSMrbHRs72asWQls9vSmOPoPv1W+KDAab00pwGa1u5GecbkAP8j0s0uxd0t3uSqSpZyRyCfrFap51i7a7wJjgQMDqT9JoK3xCwTQhl3vURHGeSAD/AC6MINQW+zQ018plepihudCW8thuZ1odpAyMZDEj8R0tw0joFTO0OGOPbuOiGnRp9FGmSPe5ujy4zjhUjH1/1utd3Yis4tfimmb4haurLVp/R9wemV2T4eolTz9xqGjaQby3zKGBUYOR6QfwFvDWuqv6S2uKjphPJWFICh5HlscPweD6VPB456F9Wappbtp2wWWnjnE9tikWqeQDazlvTtO4kjYF5IHOR2GTBt9STRRPAW3x7Y+O4bcx/s6GuLYLaiN5FFBzjlKsjpWhNaaDtegtfzRWarmJmbzp7fLF5UtA/LCFwRz6XjYEex98ZLop0npbnSz1UMtMKmJJmix5QU8uCqDKlckH+rjPWXPD6KZ71BXzVMyRy1jU8jKx3hSp9XfnAyPz60bp+taU/quetqIqSCbiRVQY2jd6SNxHLH6gA88Hoa2bU2ngUriI5160iFqIEA7Cmdaq64GSeWhiiaSOMQiEszxj0Mm5eSVY844wCPYdVd5ukl0iglpadXmpV+GkMCrtlYuzYLAHcSd+Cc+kDAwMDlb7hQW6lWee4s0EExVERyZZAR6OCOBuz7AMT9Ownf7hS1NrmtMdxn+EkQ1Qwo25R9u48cPiRiBn5SeeigQEQKsIPHJFJ220jSVWppzH5ZqLVdYwFP73wif3kfx6TmtIaZNTTQU4Kq9NSMwHP7RqeNn/APeLdG+rdayWqqmssMDCWrnk3TLJtKKwjBHHv6Ofx6VENVLU1wqq6d5CzqryP6jgcfnwOgbC2dQ8t5ex2r27eQthLSdxvVpFEKeH4p328EocYBIBOB/I9flp1RVWy4i50DNS1CEum0kjaeNpz7e2DkEcdEGpqemt2mdPOYh57SVkcv1OETH/AMXQEqnYOP3D+XPRjITcpKlDBx8SPpVBbNouEnP+BW4P0U/G2/atvdfoWot9kmF0iaqhpDAtO01RGnpETIMrIAGZe/YqBghS37h4t1lVdqCBK2Mvp8pTVE0KNtkwcRNjGfkbYR2O0H5esUeDIqaGx3C8pSVAnhlQ0lUPQsDquGbzPmX5x298fgXpQeI1TQ6IXT9TV+bc6ivpbhDGwXYEjhlMsj8crmRGBA5A3A5wesDqunpbvSpkQARHrvP3tWhbduLm1UAcxv18q2XadSy1PnUddNVM0oaFnhp2fzi65C7iQMEFee/P4E56/STsV71XbLlZKCmSRpJ1ZQKciVGRWKhGIXujMSMDspyeSKzTeq3qra0kFFWLVUaPFUxLVjfG5PLEkZHO4DOcLgZxjrlqe7XSlJR5Ig8ikBIQDvbHCOQO5OzODjv+HW+Q4h9oKHMUlUFbEVle4aeuNDB8HJcFp56hFdGcl3CEnLqAOc7cBiQoGcHnilp7nHQV1GYbnHLAKzywZCzZK7SwJO45ww/ex9j369eKF1nob8aNZyTJMCSp5MRCnDH97IIHOcBcduh9aZxY7VWKu7fd6pAD2JWKnOP/AHugmmFBALh3nl60Y4+D4WxsOvpTzsdWXtE9BV3ComQUv7OMxKVLe/BZSQuD6h746FPBtnS3MlRxTteVR8g8EKjZ4H2+nRpa4ZktASVbhBOiz4dqcPGsW9wffKrhSd23PqPsM9KagpafTmobLXT3GFIxV7K1C5WSEklWMgIAG3q+EoSG+v0obvFFRWaamv7U2rarVtRRVbyNbDCwSNNyy4mWEkt7jLjaR+eOlDYpqLTdXcHvFJLULVUPw8cMD4kSbgo5P9UMFbAzkDHXTUWu7x+u7xTU1e7R1E0sJKuoV080lfl4Izg5yR0MVMtQ/wC3ad3K4Z3U/PjnjPvg/wAureBASkIEYz5mSflFXsq8Ky94s+GMRge/Yn21d0F4ShtD22atkkqUr0rFXy1aFm9OGJPY5yCMHP5Y6Z2hLnUTXxo44I5Za1qdCojUZJ2t6OwB4I4xnt0J+GVo0hf7ZVyatv8ATUywRstMjGQzF89yACiqB+f0HTjt3htpi1aKtniPZdcrFNUVhgZJoMUzSR8bFk5Ks0ZVlWRV3D3znoN9QCuAzNLFXKA4QNqs9SS1saxLWULFHiaWCTOASWx7ZwoCsxwMli2c5I6oLt4d6r1VqGls1uoqibzqJPKM8jLiMYJx6FX6nngD97t0fV2qhTahsFsrZnSGsAhzv8plQuSCofnJU4LdsFvTknDUOrrPom30sJp0glXyytSmf9GwywhXGABjGCeTuH7vCDUb9VsgrSmTyq+wt1ajcho4A3qz8Jf0ZLBR2envWrdSSXGupZ2YRbsReUp9Mcq5cN7sfXxn3A5blRoe12Qx0tuore9AF3QwpIIkVX3YQYHzesdj9fbvlxvHEpYGglv89K0FSmyAJvedgNxK7sKqDBbJyxz9Bx4qvGGgqbTE1BeqiStp1aZICNxJYLksCu0n+sAOxyeOOsZd291qCQl8GeowJ9NozW7YtU25AbOK1hU6f01daKGinNuq4xGHhjkpxOonkyuTu+TkAccHjgYPSG114EaTu1rWoskbVHwweA0wRXm3hm8zJ5YgsXAYKcduMAdLy1+PddHJEkVxkmqwMLKuyQxIN2ZN2c7QCeNpPHtjojj8XIKuiprvVXVY5XQyRU1M8jNJUozAIXLelSQ7bRj5uBkHHxsrltQUyCmPP7/avHrZpxBQ8QQaXreH+kdOV1VF4lI1OY42qxSUlGgqYqVWJJUOFDcbThSv1+vVPqDwc8OanQkuvdGX+QCst01bBba2oRJg8MskbHhgcZjHPbDKSM5PVV4yeItBq2OGvgno6KtgjrKeWiiqJi+CeVUMCmwBc7lbOWxjGOku97rKCYTjzRtMoCFsKQ0e0/2kHrfaD3qWeK5Ekxv9+VY2+063tnOG38/v41V201dRJJUMVWTahE0inCMMAAkcAEHnOck+/RJNU3jTVP8ArGOpp5ZqaXFUdpd6edWA35Zcc8d/r9SCB2SC92TUNdRU9MKukhmliBJA8zgbiq5wTtPYDovoqmz1lBHb56JqJqlWaqO/dICuChkG/IA3YzwMMSST0+fdQEBYEz06UgbsnLh/u3VAAdflUCXWUV9s89k1dWjK7GR5add5wQSnmn1ZO4n/AFvc89CXm6Y/7Hqv9lv8eq++tE9dJKa2V03+XTxsPUoyOMAlSOT+99+qPy3/AOtt/AdEttBKZSYBrwthB4RtX9GqPXeiIpLRR1d1r5VrKp0uEaxxsskS7i24hRu3eteNuACMn5eveqqrSmqatLv4UpWwQrUh6KOdzEGCNjYm4BXQbgASFbB5H1Qtv1pqOsM1mhvsiQLMKlliIjz5YITOBuzl3Gc5Kk+xPVpUX+8vFGt1jkqIhCHozHmRViX0krGCAPTEFwB6QM47FeZu6cGyOA+IxPx+ldOZueMlSthIp+xPYb1b5LfdLdE1ZVwvSzU4aKX9lGiqrbnxwzM5XuNytheFATeudOWLRtRHdbVYYb7HWwSU1PBVKWencAs0jBCvL7yRnPy5yc9RqfVOn6S1tXUFTJI7Vsaw1QMgk3szgYPHY9wecjg85BDZdQQXDz7dcUp65Y5A9LIAu/yx+0YAsRnG8gj5jkZ6G7m405RUJKTuMj7iqLlDV43CICuR3j+aWM/iTfobS9p0lY7pFIyYqJXlPlvI3YIigDYrbjltxzt5UZUrq56E1Fq+8zXvVZGnqaSVDUTzRnEIOOduSQDyfoOwwCB0xdUeMF2o77XadpLZbYVRhTQE0yiSA+zA87WOee/8hhc6g1/qKagr7fVVCtBWpmYOncAhxg9xyB/LrV2K7lJBabSnijMyY+VZD+nssEhayrrjnRjr21eH2mvDa7UulvEOa51K+TTx009ClO08SyIN64kY/uqewOM8cHpi2q6XvS2kLTcbRe56aO5U0MLsk3rbYinbxyAD+HbufbKOrahxUUcDD0vAkpyOcknt/Dpr2CsWurrZbkr2ELqVd23BVkCge/t29vc9bi2QVMFSjsKQXl8i1UHHMDPwpjV3ihrD9V1Trqq4eahLKWqDxFs9QA+mWBx9+llrTUYuWq1rZqp0E9vLvMw35Bmc5I9/+HUm5zRrb69o4nMkdMWkMh9IRniUKB33Annn3H36Eb3SRi6RRPU8PZ4Z9xHymRS4X/3gM9MmbMBkO9f3oBzUy4spBxyx6fvVLYIoIrZLKJFmZpI1VwOFJySPx9Q/h1B1LVvVUNOS8jeXTMp3HIHrXAH2Ax/PqXYopV03KWRgRVBtuPb/ACD1WahiqIKehidWRnhdXXH0fsfzHWaSAp8551owvwSNqoqecqfLCIQ6gZPdcHOR9/8AHojtUtLFY5GqZJQBNMyeWoJ34hAzk8Dnvz+HVJBbagTIrRnHlCTIBIAZNy8/5+nUieSWmoEgaBgfiJQR9x5Wf/h6MkTih3m1rAxiap6tg825RgYGP4dW2lKlxXpQ7lRZSSGI5DbSB+XPVROu0/cYHXW2y+RUmTcFIjfB++09SWgOI4TVwUUniFOjQVSlbWUC0VTt/wCdLIGUnj5+R2xjA6fGlppKi2VPxtAGqmmM0dYzBmCsSrJg98sVOckA9uR1mjwgQzV8asMqsbjk45Ct2+/+HWorDcKqenCz1Mz+TEjwps2RKA2zON2eRzyO5P49L+6LZKRtNHMugAEiaKbdQvcaZZ6GoqYaeOELUTIzHy9y49anJw2CAMYx83VFcaaopqFoanzp1CeY8PbDBs79oXaFIJAzngZOAQCbWKvisdDVOaWAS1UJjRqgpnYRnITcpA5G3jOSe+MdCl2eNH8uhp5FZomCTAgB43B3gYXIBy2VJPbB5HU1EQZqauEQQc1nS8eHFuvd8NbddSRW7zZzHAphLlsDLM3ICqMAck8sPocKXVmn7hpG7y2apYMFbekijCyLk4YfzB+4PWnfEBrWkwstPbYWaggeVp5cnMr7PRjgYwxzn+qe3bpWSeGGt/FB46m0W2apNP5ilpPSApYse/buxyeMffjoGxuXHnlJJ8I5ftQKkrJ4xsSY9lLe5XprhdRUTu4gDyFUJyFzGBwPyHRR4d+EWpvECNrjS05pLLRqwrbjMP2URPCqo7u5JACj65OBk9Mex/oTeK9xq6akqKRKUzuijzD23Dg8ZPt27jjOM56fum/DS5+HGj4PDzUWoqYw6cudROaNY2eR6mSFRyqghth3nvkZbjjqrWNQ/pzADEcRMegzmOtGW4QVF26wjn6mMVReD+kNE3WV6K6tKlj0tTwzTRMPQ7uwWOMKv+kkkdsO5HHqKgAY6BvHay3rSHik1XTVKVr1lNBVGWNNqeXVwoxUcYwpkK8cDbgY9mgml7X4fwajpK/UlJWSX2Ra2OGmiLS+WwqY5VwpblBUhlYcenjJGOlz43a8rf1fW3WlpoqFa6Ainjl8tp5IlG5QMMxjiQMAqAjjC4J3Yx1m4ty9Bb8QUIz57/WtYru123eAwkZEdBtXDwl1bd6a4vbpKgmphSF4ZZPWCEjQiPsc/MoHb5V5AA6PLzdJjQywSymoFTuQPh8h0GFkHIGSQR2xzyM56W3hDG1FTUd3qKZ3eWOEbd20Oqwru5PHGwHnPbjPTdvVZHDao7e1viVpo2eKXvkgK2M/fI4P2PHW909oKalRgCayl8+UOAIEkx7PWseeNUckWqi0obI4DOcsQOxJ7fbj6de7RSSVdoo6AB8RXCrlOP3QYYMn8MDn7dW/j5Sw/H0c5ngNRukjliRQGj24A3YzjOT3P889RrVUxWWFJ66nWSORqk+U2cMfKjx2I+g6+ujDaQnfNStAFLVxHGKdFPUXaGhWS53NXalyslS80UXm7YQuYwPYFxuUNuIJ4GeEjU0lNU3SqeuhjljSaXLBfQW3Y2nAUkgLkDtg5GDnrQNqj0vBpJ3qKMv8Ss8LLFUgK8qgbSNp2su4uMEANjPYAMg3v7W7VCRUctJS05qJa2VpHDH0gsEDZwuQABjnJBzyOpFKltwneqVLDS0qUJHSvzUmnrDTUaRTV0NLKaJysJVUNNICDGGbu5cZJODjPUPRGlZrjQpcmaF8yeYIX2hZArDCklgxDeoYUHuT7dVmutSRaghaU1TCdiJnjVNqsDjAY55IzgcDAH4Yqo7jcvhUtlTcJYUpYhNHFvO3dhSMD6kADP26tCVra6GgXOPihCooqbVlbYtbm52Oy0VP5W6CCBIg8YLZXIx2OSOe/A9+rOHW1/slygvdyr3nketNbU0ILCBpACN5wVBOeQB2z1X6JrLTBX/GXalirBPlCh4dF4OVPsR7Zz25HGCyrNZNO6rU22ptTwPHBK0vlSHe7cEFP2bhQACxODnBxjPSm5vEW7gCkY5mtrp/ZBd7ZG84hMYFS9X+Nll8RI9P2/4U/HUFTHKZZ1UAud+7eQAedw+2EUnLZyb12oaattVRDeLqUq0pKDsMnadwbggDOWDYBwcZ7dZxqan+hV4SgqILXXRU8isJom8ySNgchWfCncuBngj2HHdp1VFb7pbpdTmsdkraWnWJYkLbJEYK5YchV9hz7DtkdW3LDBQOOeHrWXsHbhy/Sw2n+4TwjIg/GKj6ge13nVNw07TXCCnlovLpad5sLFII1IGwvgjI/rYJx79+oemKWCK3UV2prtRvNNDWJPS7djRllZANz4Uj1ZyD79s46rdRWD466Vl7tteky1NSP2Lj1Rx7SvDZ5wrfT93oW0laqt6qvoJ6mOjSBKks0zlQxUEqoHuWbaAPrg9hnpcWG1snul4xj2Qa6J/Tb+xeQLxkiZAPLrykUwbJQLbK2OY3eCrUU5MYjHO0ycvsByFzwFOCc9sdc1qbfHomCqpah5IaeqlKvsYclyOT3+YsPp+XVDpClht9dV1NbIJUegaN9nB3GTgffj7g8fbr2blSx+FzRGlBP6znETs53RjLtjGex2jPHtxjohpjjkTO31pNqwcsXQhaeExIn0FVGu6iJ9dB7lVR0cNNRGNpWicqgJYLnaCWHqHIB6pK4edcagQOroQCjpwrjYOQDz7/AE6svFOqoqy63MwvmaKkhRtqFVZCQ6sM887v4YPv140jPp56WlinglM5hjVsn0n5ww/+E/kejSnumUrg4gVl1uE3BSTgzRJXUEVqu4vF4/V9op62lSrVaYzzea3pIIyZMOcdiQO/bjr9kFJLV0bUSzxxXDZPFFhX4yNpZWOdrFgDvJ5z+ItvEXxf0nrDQ2lNPUuhKC3S2iBaequMLOZKvCDIk3HbkEA8Adz36BrbVWi0vfTJVGoieFBRzwq2PMGx9u4lSu0ZzwRkdiOeqWnVkBSkkco8pih3bdDiiifOabd3/RS1oyV1LqjT09OKYrLFVQ1cDvGHKluFcqwBZBj2zjPboV/+6pfv+1Lj/wDtsn/zdM3S9i15rfTdRbbJTT1z/ESJv3speIqhCnn5copz26ZH9CPHn/8ATp//AG0f/wBTrRIsyRKVke6lDnG0qEAxWfqSiuFLc5IZoqJ5WqstUUybkJxjarj07cZxjglTjjnr9LUjW9o6q5SQVsSDyI3UkMuBgJwc88e/Y+wyB3SVBc5Ulp6GqaaWSZHC+adj4zhyM+kgbxzjG488ckusl03adOVkFY0i1hdHhqIzulXO1lJIOTvw67GHHfIJYdYstlToQqCTzA2rd8SW2ivIAPM0LTX+z6fsVFJSVBqaj9YNEZVBG1s5OAeRjc5yDjd27Z64671vWU9Lup0HmipnRXlG9TkbWbDE5bIByec4PQGlQWstonkUh6m5GbeBgH1sDgdvb2/w666yulNcrjPbYFIemuFU0pHyANJhSOngsG0qCiJPOkLl644OAYHSv3TVdFDMtZUqrxq4Z9y5Dds9FdB4e611jpxNSW2wVdTa4VjimqVQbR6wCFycvjJJxnHOevVql0lpLTVxiuumorl8ao8qsmY+bGpUYEanA5PdwM47Hvmtt3i3q+htsembPd6uCzTIYEovM9ABPGR+8f8Af0IsuvKK7YbHc7R5Rzq7iQykJdPsHWu/jNYNPU16pI9MQ1SwU0KU5ao+aQqM7hgds8j8erKlpZKWtpzJuREMj4A7Ow4H54/v9up3hzq6Wjq6l6602quke2zTB6+jiqQhOVBVZFIBGO45z79Ebagq9b6iob3Dpu2UsdPTiKRaSn2wTOHDgyL2y2cHtwPt030W7Sy2q0uJmMGZnnmsl2maAZ/EAgJEyPXGKHbmqw0lwpQCGeAruJ+ZRMgAx/6meq6otT0V4uFNX0xneht/wsgA37GQugJ+wIXpm02hBcrNX3e7N8PBHYZauB5GCmWZZW2qM4yfSSR3wD1T6lsNdcNQazmtyxpBSW6WrmfPo2rI4x98sRj7kdaO4eCdOCkHaPnWOt74XJ4E7xn3oG9KSinip7QaPJLyvuxjsASMn/a/l1bW6mtepb3U2G7mOKqepdKCryMROGB8t88FScY5+w+nUD9WSGGkJbOEkEpKnbHkA5Jx9wfzHR1oDVEjXcUFTp7R13phIqSs9pVpChbv5nl5DnGNxBJz79usJduqbbW40JOecR99K65orSX3Utr2Mcpn760d239HqnhomqauaK3CWEQSUcsbzM25w/mQlFIZAQ+CR6Q4B7ZP7rn9HeGis9Teqd6by0eSaDaTtjikI3ytyMnsVUYP5Zboo/p7bK/xEp4P1xNbLCyR00Lxy7BTxhirbWBCeli+OVxwQwJx1xsutLLZ5bvY68xz20uhNUI/PIZSpAjDuqyKORjeBnkE8ZwSbzWErS8VmcGI5E7T199daNjaNoLBbER0+tY81pcqB6x7RZ6SCnoKRtq+UQ7SMONzyD/SHvz25OMA9DaLuzz0e+J17/XV7qYaektlLAJ3KJDbFp5TyfmYAtn7byOgkxeUQCOffrrVoollJUIMetcg1BITcrAMifT4SaaXgyJRUOBLsjEUu4kHaoZWUscfTdnrRWlXmWhhnpqQSI6O20QF9+cD5SOwxgZBx3zkgjPvhNRCSmZFJLmNpXRV+eMNjg888Pkcdh39nxpKcNakji38SiGXA8wIAF5+hA7jGef5RcBUrFUtwBR9bKWqq641EEtJNUUlO0ufOMYKg4ES84LblHGPb6c9WNW9PRaSa56hSJHt9OXkn+R5SASYxnAJbkA8nt37dR9KWSSa5wVQpvMeFwgEnpIbjI2D0gd+/wBepX6Q9pudx8N2tdo2mT46Kac7tiADIKD2AG4cD78cdDvwEEEwTgVXcOFtBIxO3ryxSmopbv4j6oe0UEHk0okaWrZYm43MPmZcsw2gduOBnOOtd+HOhLFpK0NVm2R7o2KmRXCu42lWJA7d9oPHufcdLfwf0BZdO2mluVbWzP8ArEKrPHCN0owQysMAn5DjJBIKnHPTXqtQ0sFSyUdLEtG/mMlPDIqM6KvrduDkAb+ccd/YZlZ2ibdqAM86sbUEJBWciomsrxqeejlGk5VpqxwiGrmchzFvQN5bEbvdiD6s4KD1MB0lNQUOmbVV+Xfr1UXLUEVLU1KilkO6OORXZlOyGTG4sw/0iswKjbgjJn4reMlztlprn00sUqVRX4nMAVpFYrkKCOCAwOCAAWOSTjrIdXqa9VF1uMspnkvFfK0kslSdsbBiXKrHjkYIO0sRx26xd2h3VLlS0KhIx5nPwFWWN5apS4Xk8RJ55GJiB9aI6s6tvrPULbKa0UwwamsvUqvNKEGVC0eS7Kqj0h0bnJ3IT0sNX3ai1pq+KO0CerpFqltybstJOCMEnHcklueM9wB2Ht73b6m1z3SWrr5WjhqUpovMYqjFCFJH0yew7MOOOufgytTRXahvFNT08xlkkkjabBELCKRJH7+lkMiOjezBT7dMrS0DHEsbjAERk+ZJ6enlTc3a3kpSsQDneYA26U3rBSzWK/TUrSRJBb52p2USqWdUbbwezA7T2ycHHIz1KrZkjiZ5FLbfNBycbsDGOQc8DBIwew9geqqG2eVcnWneObywwJiLLltuS4xydvck8fXoju9tK1C1EcQkqIoIpCpcFZN6K2GLNwFGQc5Hp57np8213DQEzj40ode418RETWffGxEepjnHMhll8xvMDZyEI9hnuef8OoOtBHHYrTVxyYMjyDGf9VP7h0UeKunbte50p7dS+a0kxCZmUljtXGMn35H4nHfpY3+hvdKKI3W31lMCV2edEyKw2gZGR1LgDi0QdpqIfDYWDzitD2K+W+XTcNBbpZRTtAkm54txV2UFiGRMAs0UYC+ykrkEkHPmr2hF4qyfKRg+4hNxGcDj1erjtz05LDdVuFBTVIlmi84LzR03kRxDDYQJFsV3yBgZHPbI46Ruoqaokv1RSs6l5nY7sgDk5zgcAZz0QhIBqpw8QrnbLVSXGUCpuXkQGPLSbM44zyM9ge/v9uplRUUljWqpnaK4zSDyVlB3KFxgYz9P7h1yqbLDS0O2CtZqgrjbn0MM8/7uqegImlIqUaQIADgZOfbr4Q7mcUKhR4uKcVfacuqUc+2fJiVNzAnn3GRz9P8AgenLZLtpua2Rx010lpJi/lJLLCzqy4DF2UdmxuHY8D74Afpa3aOtogqa21RVszwK0kTFpkdWGc4IG0gZ+u0Y5zySE2WgsxpXqUdoJ6sGKNZhIHhOU2nHIGABySekt4GH3IUCPr6UTd9ptTtrdDFi6UhJzEZnAmeU/Oi6u8MtM6pqLhpfQdE2o7rWqjwzQO9MWkAGWCvjcVDDIIySVIzzm2q/C1dBaJSO70T098kjRZbVXZ3wOu4FAoKkH9pu+X5sjok0F4q2bStBVXnQfh5S1E9TXExxSEzzFtvCqRymPQd2QNwAxkMeizSXiN4gin/5RazSc0wr4JY5aatmM8FSnG1Gi2Mztl1zvIOcqCCOglvqcT3aSQAc+WKhbqXYXCHn/GsGT0nfBH0rHx1A0dS8TsQoxhcHBHIwftjP+/ogWSGqoDdo4YhUbPLM0gODjPOB788ZHv7dePFbUFHftWTRUmhbXYY6gidaekUqRkerDnlkOAcNyOQOqo3WJ2FHT7FgkT5VwuSMZAPH0z+fVzrHElK0iJ+Vd27H9pDqlstVymADAnOTsR6e+rnTdbVRvXo0MsaT0r+VJJuXG4BTjHfJOB7dDN0q6qHRlRaZKKIIbl+xkbO71eYG98f1T2+nVrYLg8rNHVyM8crZBLHK9+P8/fouhqbMoeqFvp2RiG3JEAAMnbx3zk9+/v36r/Em0XHDOxxROp9jz2pS3dMvhJyDxDl5R0/aks8tTX09wmqWd5mpVXcx5ITYAMfYYH5dWGnUaKa3JIrJIx2srAgg5P8Aj0w9Z6Mq7xJR3CkqacivpGiCpG2IV3Dlyo4GB+P8c9Un/Jzq20vFe62Cn+BopUd5lqUOckgKATkk98Y6YIuhcs8QxP7RFcT1RpnS9Tcsg6FcJIB2nO/2aDNX0FTaKeg82reVKpC6gn5cADGPtgjqNRXwx2Cutm5t7u0inaOMptPPf5Qe316v/FGqt1RaLRDC7/F0kkkUyMmNinlcH3756C6anZopQykbow30+v8AHou1Pe2wU4MyfgapfV3Tx4Dy+YzWw9IeOvihT6HM8Vzo0ttuihiQpTRoQ705MecAZ5Hf65z0X/8ALjqb/tX/APwov8ekjS3SoXwUoKWhFtNEfhTVyBStS0yowAO7hgNxHpHAwTjoM/5VE/7Km/24/wD6fWisnmnkFRHOKS3jT7awEHcTjzqfoS73WgnrRRTOI6h1V0R2TkHcMlTnHB457D2z1c65vCafttTU1lrFZUzVBpxPM0isssS+uQDjnO7IYE5bPcZ68WKksMt8qKLTUtS1FUVLrSy1UaxyyRYGAV3sqkgMO5PPfHHVV4iaY1ZVQR7KSU0JBuLvJLsgVWUguDIQMntnuSMd+seh1pV0Asf7Y6VpVtOi3lJwVTS6qq2WqtOnA5AZqiQ9hjPmsc4GP638uqKoknqLtWTQAFpJncqAMFQ2T+XHVlUyw/Badp0eTfG8u/IwBukGNpzzx+HfqBa4marMvAZmYKSwxycHj8z07PhSSaTFXnXSprbzWJIKmWpqI4ljDF8sEAGFA+gxgDpm+G+ibZqiyI9usF3vN/MpKUlHGzhFDcN6RkZ478ff26DaqpWilNN8UZBJsLIOA+QO5x2wBz3/AInpmaI8bLto+n/U2lZxZbVAEWrqzH5heYnknaNxHBwoIzg59PpAbqC+iB4R5c/KoKuVMuQE8RPX50Zx/ot+MdumhranSVTT09XShIVaaBJUzJkKyeZkfNjkA54x06LR+iVq7wq09Jq+ru9qu1LLAs701G7tPAqHEjbWVQxAJBA7+x55Fr3+ntHaF/V+htM097MsXktJV05gpkcFMFU+Zi2ZN2cd48Ywev3RPjD4n6ykkpL9pyeBEl834WmpKmGnYn04XeSI+CvY4JKjbyT14llpg945OKDvbY6mksrTIVymKa0N38E7p4fXi5QWKKrtVPup4hWyb6k0oeTY6KeE9bMuV9WO5weSzTNl0Rq7Q66p1fo6isltNI8Pwz5KVsL8+sBC5TcoK+ksTkjaDymRY9RXu9VddYbBbaWKqiEDNNOWRAzo4jWBiCW3JG6lhGpzhiBlTe1Om/ETUtqSiuGjdRXV5Vanqqy56ght9PHFwSUgpmIxgcMQQO/BJ6LbeD7cAeE8vT9qXKsWrUhlSB4cCI6z+1Zd8aNQ6ertS19Hpa1fqm3WmpkiWip1dIzxjeNxHuuM4GVI4HI6A9K3KmtVTPULallkmEgklqQxbPJwsYIBUcZHv2wRx1q5LjSadaXw0rPBCsprCWmSaqZGuETtnPmSPGDLsHGfoB2GT0nPEDwzsVipK2u0xUiujG6UEKzbUJwApZCfSTgkkcY9PY9BXDYaRCxhR5U+0fVW2r1ttvE8zH2KHbJHSXX4ejrtRxU9bUUqtTRI2EiEjDGdvCY9OeM88diepiaxisZqI7F5N0gMLeZBPGJE3Y3JJt/ewG2kH3AHtkqusseqbOtHcq61VlKl0iWWknkQos0WcAo3YgYHbtjq13LEGo6CCOnqYpDFFMZCpifOchmIIwQwyR/uCd05ufGeIdMQK39p2kcu0FnAUPUk+g6mo+vL1py9T0s9ks1PRSxowqJIy489ixbJRiQmAcALgYA46F/IEyZTBKkYHueeutypqxLlLFLHumkY/wCjwQxJ/dxwefp1ItdJXtKEWCQNu2FSvY/cdOGkhpACTNYjUrouvrfKQk9BgfGmv4TWqSit0tyZZBKoRE2gesM3y9/pn+fTutlspqUNJZWnmhWtnxJIpBZBxkDcQrFcEnJ5wMnjI14WafjqrCnwdtqKipeUiZ09SGnZSDnAypGV5z7nHT80joJIKeFK2OZ5lBYxyRlTtID4Kt9cZHJ4Gcc46sT4qpZcKmwqrbQUcsdJFWVSsZp0SOmZn3KVUndn7qWH2HAxjHS4k1NXXrxWutmqayfFLC8dJEiekNIylmbkewAzgnA+3Tpoaa22Cln2MHkmQso3AjPPcfu4BP8Auz1n/SVHfaPXd5uqFzW0a7cxgszIGI3kLyVAC5PtxkjHQtw0FLE1N1Jc4J2BrTWkrXBbqBYlhWmiaJAsZmMgZlUbn3bjguRnAwOcA45FFrC70y2p/h6iOCVmAbZxLwDwMnI3ZX3xgc/e1g1MLxo6jaK3x0c1E37RpUfypGPBwxY7hwA2cAY/LoN1FPUzRbpjHHKgKISfWFLMwCArxng7mOcHAOD0UtUIIFW8INZI1rqa/wCor/VVRqsRRvuhHmFfLBkCBxz3wRnOcjOeegTR2qBNcKr4+QSPUO29tuXILA5Vv3T6QAfvj36uvEqikoai5UkDniVkbk4bMT447Dk/yH36Xumo90219qugxlkyyZ7kfcd/w/HpGwwkNrFCXjLbDCUtgicn1o0vENRb7ZKauHyZkgqXmTA7qGYnAOMnbng47+3Vj4TRSUFlVKWbeUmq1WRVByoEeTgg4yGH3B+4z1UX2+UF5sMvlVRmlht9THlR6dohdBz78Bf456sfBqnqA0TtDK8U7TwxkN6N5UE7h7/KvGe+PznbMrcaIODxfU00dfS0EAZlIHwFNu3w2+ovASN5CJJfLfzBskVvly5B+p7ZOffsemHV6Jrai5ygxTVRpj8IDCoKllwFXuMglcex7Y9j0u9N26Kqu5pvNQqkigbpCuVyGxk++B/EHHTVtuqJLXTS0CVgqI7g0eHMuYwckBs5OSM+4GOfry14UZ46WXTlyGx+FQFKkTJgATk7HIGQOe1I7xCamtlZWGemWZkeR4VjKo6SH5WYBhtAGWAXscdJa93a76jrFq5Kd6is8+PzpHUMjbQAjOuCAfY+x4yMknpp+NNfVxXCCSnjKeZGFmYrtzJtzz9SCBz27dj0t9JQ1dXXLNUKdtU/lrEWw0zthcKD3zn8z0vUe5Up0ZqwMqecSFcqOdOj4azW6KVNrTInJnSKNC7SHD7ScgAZBO3kjgDAZH6lneS6PUKkjNjgudzY75J/PrS1D4b6vtlliqLrpmsRYisU4lTsoTKZUxls7j7ZGAoOccJXVunLgtwqHp4DPEkpppJ4yXiWQE4UyYCjIAIH05wAemCXAM14tSQneg6lo7vefMqIQqxoQGaSTain2HP26LdOUNFYaBqqpo6p5hJvMsEo2CVR6CCUbdjd2yBk5z26onpo6CJIJKxi+S6IgzjIznHuM8ex7nrvS64vMVPTWiesd6KBwyQkgKgznAJBwOT+ZOc9eujvEBKKAWSsGNvvrVkt6r7hULcYJTFMg+H3rGI9ocFQPxIydx5+pzz1Z1+pXmSltpgxNQMDIyjJcrzkn34UHcfYgdh1ZWXQFbq9Keawo/l1T4enRhgMMACPdxtZnVc49DMoJ5XJhpL9HnWV2u73Ojp6msdUkigjUsjSkny1BOOCH3oRnII9scKr28tLJPG+sJAqiw0xeprV3CSSn3D1q/8ADPxK0X4fzxXqyw6nttwggellWmipq3zdzcOfPCpCudyZxJnv6SB10rtXMunKKto9UwQWa41ElXcrW0jrNJXJy0j7ctKp3HudpYDI9A2rHXuiNVaQp5WngaKnJ2I028IWTMYAX35jqMZz+8e465eBurq2n8RmvlXPTSRU8TV0lJLSxSx1E5YBUVXVgmC2S49QAOCCeo2tq1ew+yqZ3Ioq+tLq2H/kEgimLqaz6X8ZIYdRVGtFS6U4ZXFo0i83w9PgbXrXhEagjJG/yyeO7cYo7L+jnqDU1Wv9AdZWC/vHMRDCnn089TEMjzY0mjAZDgjcD37/AF60bP8ApWW2LVtq8ObVpm21dZfJE/WVZQ1yFKZn5kwiqSSiqSSSMcj79LPxJ1voDS1+a26pSDUGmbsJvhW0uIornanQL+zWWJ0DoRuyJCxGDnPA6fiybKOGdqtsNfvdPUEsHoYOf8/GkrctN3nTupaq1XOjWknoG2zUscwZo3A7DbkZPcn7+/UKS61lwkgp4mj2TNgpu2ZOeMkduP7+nRbvDjw78XNOXC4+G8Umn3oqXzrbJXOfMuAiTMsNRh2UT5AIKqQ3Yc98/Ttc9M1E8c6oktQMx7G3DYf3gfxz+YIPbHSe4sFNqk56V2PQ+2jGoMdzJQc8Y/byO0cppmDVn6msksNJUQNFTANO8iKVkk2+gbe20eskc57Y9XR1ZPCbVd8tJ1VpikFztldT+cA1SFwNpGTGMsG4Y+XhwcZAJOQlIbhRQ2mSrq6WeWaVTLDvZQVIPq+Zuc9+Qew9sA3ml9S1FRUU0Nt1dPbpoXV2SKZ5GkOfSgJO1VICjccDPQKWC02SkR51yzt5cNahqhNuIQAB4dhzzvJnczv7gPeK2g5LTaaevorrDcFiqDFIkJMhj9TAszkKxBfCgFR7c+3S++PqRSBOJAE8sMTkhTyFGewHPb69a8oNIeC1hs9ZqXW12F0eeHzrfY1mmhqIKlpMEiRAFG3G5BngscrwD0Zac0ZofxFjpdC+FdmstUk0Urz0twhp6W4TDDZVXVj3Rc7kOSwbjAGZt6u200BwFfs6/tSaxdc4Uh08RPPnHpWTtPm7V2koqSnNRLHDC8iKgJCsBknj7Dk/ToP+Dm/6u3+z/v61HqzTtj8NY6ux6Rt1Yv6vM9PsuUsNS/lSkfKYxsV9oZeCxIYZPOOl/wD8mt0/7Puf/hI/8ejG+0DC54RgY9vOrbh1tlZSTmvFikuFzjhqbjEDJTSN5ccEQVQ3pVhtU7QR6u4Gcdzx1V+IV1uGrVqrZOVo0opDLPFSgqGJ5KtuJAUE4X8TknjqfoSqgapnp43jMVdGgLLG7CPYVOxVyOfl5O7II5yT1+6xt1LfKjZZKcUVS8SQfDTYkWchBhQVUbmJBAOOBgluc9VuFhu64WEkQBvGDPLypuVvuWYW6rBON9vOkrOop3s8juCmxZOB2HmEH/4eq6lqFhkcOxXLZ7A9umHcNNx2uC1mS1RtULTKHR33PJLkt5YB4QAMNxOT9MZGQustNxrbrFR/ANFVT7cRpD5ac9toxyM+/v8AfpulaViKUpcS4COVR7hcHq5kkB9QVVyCTkjjPP8Adx1dyo1FQwWuNDNNWrv2KTg5JAPfvxkfifbqmvVins84haOTaeDvXBDgDcp+4J7e3VrTUFbcK1jTSACCkaR3b9xFHY/jwo/EdeL4QAZxUTBSAitF/ox0Gl7dd7eBTPUXiWRt1UpVvK9IOEG0kEcAEbTk5JwQOn5rzXFkOkoaynudGs9zu8/mCNN6lFX0+WXkckAoHY5VcscbuxyFpSnnt93mp6G9RxRUFBJI9QCyCVpFOF+vO4555yBx1Xt4jXG4zUlFcmP/ADWQhgSRhjweN2AfSowAO3Vaf7yhOwoFsvsoWoySZ9n3Fau8b7LR6j0Da9VaC1rcKbUGl7W8kzxypFI0qZaSQiMqoRl2ptVcAoMDGT0iPD/9LTxCpp6mm1Rf5KpZKYJDlEjy6oyrjaB6mLAk/VB79MfR2mLTrC06z1vatR3qzwU9phedxAzAedE8bQFG9MkLbT6skZkT5SCQsbLp3wNey0lBXWyskr0ULXXGWoZSdzgjZEh9L8OozuGCPpk1O6iiwXKkk52AmmVvpytTbgn27U80/SItms9MyW3VsIM4pFSnEUwTYsgw2Tgj0kFSRg4JOTzhd2rV1HbHuOl6h9sHkSz07TyxyAPgliMKSWPYNwQchh9EPqK2w6fvlVQ2euaopVV1gbaQZoyDt78557Y6/aK9VU6StX1jM9PEVjZjkjjaAPbt3/7o/Hoq9uGdQsoRgnI8qzrmlOWd0OIzBpkeLFbS3q6009ngijpY6d45abKwwCQsyCRE4UNg5yOAe/tlWM1Nb5JKVpJHaaIybgx7knKjgcc5J5/HGer2y3yruUtL8HZqmujo5UZ1Wn8zaFOSQo5JwM4yM/z6May/aV15aKeurLHTU19iudPSv8FCi/FUpRhJwVZVfKptYDux3bic9LLW3WhvhWdvPNbM3jNhbjusuqySP9vlEbn20LaTuxW5UtRT0sUKQNl5ECCRs8epmwABk4zgZI6eNV4cRa0h+Mk0sIqydxGhXDSLJuwrYU8qBjcW4OeOSpBvbtEaft1ljTTGjKm10FfEtPPHVQq1WsxbB8qRP2jcknb77TgAHo60Joats2mBT3m1yx3FNk6OlR8Owd92I4WkGCVQgY9PpyQcjnN6o8lm6Qts5mN+XOs+5dJcty4sKAG+N870NaT0JJY4aWy1QkWNPKO3cAjuEQMSO2Ae3pPfpzUumaqhttLLbY4thBJEZyAp9JB988HuM4x79c4qKx6kt5vVPNJJNQy+ROJwDURyKucOB9eB2GSPbno+sZnFElKYQZ2JUiRsF/UTk5zg8cfUda5hwOIDidjTe1UhxCVI/KRQJS2Yn0TRt5LSMTsXvnGeT3Hbv0s9Q6VraGuqpqdxTBqnfkSGM8p334IxjOQRnt9z1pDUFFJadOVNesIklhB8oIgOeecj6eo/w6T1ZaL/APqyo1Dc983xK7Y1K/6NlfAkCsRgjnBHsevlrl0NxymelSddCVhoDzobsdzhg0nJM8sq1E054QMpjVS25vUSCcknAH7o54OYt8u9ZU0FAtXajTSUytAWWTcZFLsXY5O4uzD3I7fQ8HB0+15tcUEcUXxVW8SJ+12xshBBYgZO7eU5HbtjkdUN9tBt0sVEtJDNVJMPPlSPjcQ5O05wOcDOecL0Y6yUiYgEUIxepdVwpMkVlDxLpI6LUBrriqGFypmCg7coJWJxjscLx9Ok7pNhd7xX1TlpZlonmHvkiMBif59ab8f9E3JIaemo4GnqqiRYvJp0DBGKOMZBJJY+x+v4HpS2v9HzxF0lb6i/Vy2ve9OYGo46zfPGZQoXcFBX97sGJ56SBbbXeFSoJwKu1C7QGQ2VAUrbJVFaCvp5PeGQKCf60bZ/s/n07fDFaWmsC08CNIZm8wxj/wA2QMF1OeMbjnv8v26UupdFXPR8qvUKzQzq8RbjKSLw6MPY/b/f01vB+5mltoha3xPPJtjV3iz6WznB7A/TuM9+BgtrdxiFrKeLiGM7Hr5x0qlwqf7vu1YnPPFNKgs09t1ClxeWZmEseGyDlgMPhjxwcHtwMZ6OKKWhuNRHa7xXx0tGkRNJV+UW8pdxPqAGAA2cbR784x1GsYp6eVbbU/DwF8b2dhLHH5hB+ZQfUBg5HIIbj26kwXp01BHUijSRJKcl1CbgBuGRnkd++CD9x1BXiyaYIgeEUivHajqJEpY6WFmWJyU2YA5YjPbnLMMn6gjjsKjQuiLE1iFRqa4NRsufJSsQxkuSMCNQCWfG5hxg/jx0wNaTozPWtTyVq07yPTxRZMijJIyccEYzkjAzkAntSWWzaog1J/Te9aZuV7ijiUQ08G0zmXkglTnYvI9j6cHBPPQjoEQaSajdugqSyYAxuBJ6f5rT+jqywaR8MnuldqN7raFpiJLdURGTyogQCI5SFYMvB2HI4OD26UP638HdQ6W1VRanMQWlUywzMimWpjY7UaIDBSUDuq8FipOVzidbLt+lFraK4JH4NWRrVUqUNPcEjjMcaqxwRLKu9gAOSuPYAA4686b/AEVjcVptQajoFipq6naaWhCrElBUA+uI/QorDv3Oc8dRIBMCohC3G0npQfoDwf8AAuS0UtfNbrlexWyrG9bUwyCngdmK7CRtAwBu3njkc/ukV1f+jHqGkvVZJZrLcrFbZQaffUmKqE8Z7D9iWaPdx7bR9QMdF+qP0oZdP2O4aE8P7PR1V4tpqKSi1HGFKGlieQNMYMHBZBuA4A35xgAHPFl8ZPGbSyutDrm+09IdsciCoMsaqMqNobIUYLYxgfTqSGnN+LPnUoc4eFS8+wU/vDbw5vuhlhnrmmo2jj8yAJcIJoJmYBAGiILjIIB2k+w4OOtbaa1rpygpqUNc6PySpErAKJA21SWDAAHuPlbnaCTyesK6F1/DV6drJJqGulkWWJ5LhW3BcOQSSI4wqAMe2N0hA5GOiQazuwZSKwiI+Wu/gKpC/KfqSQSARjuTzk9c81vT3r+6V32IwPn1NdC0LumLFMbmScRn3CnZ43S6OvtphRGpZoFd4kp1CRwr6SA0hB/0fOCAQSVbOeVODau3m26oUQ3tFWpSR55qSNgipg+mMsq7j7Dau0ZHJwetERawqIKcMZahZKVDHIsCJuDHeC/rLb2Hp4X6HggZ6T9/0fdfiNzUUhuNZMVSFaNI5JMnghfmA9sHGPoecNeygOk8TTqvDyqztAz+OtwWxkD7/wAUBU9dSW+qkS0s/mMrRmcMQ2GUg7SOff8AgPv0d+DF4g0le11BdIaGphG6KGlqX3bxKRG7YHHCArjg4Yke3UeuseiLVoxaCruFXT65iurwS0SUqmlSi8sesy53GXzMjbjGB9+h+53NLhQx1NBQChfDKzCMoiOqjleOCe/B7kfidwq6KoLYwedY+005l9Lgec4SBjqT98qatVrXQdnsF/HhvquttV1rnZIrJPD54WeNxvKSKMLuHqQjjKkEDjoRrNNXnVtpptYUVItZa0cVVwWkJd6Hc37bcHCkLuy2eUByA3fKjp0rKisRE8x5mlzuGSxbPfjnPTWsF/vhWnt8ktRFLBTNFBAIQq+Vty4UA+vIU5Rsgkk9+eiHnITCulLeB+2Wly1ysH/FXmqKrQ1vooPLtFC37Dy0g9c1S7MFJkklDIkZ5wu1Tjbn1ZOZ1k19ZLdQ09orND2Vpd8bpcZA4rkBJct5yTBd5LHAZMBQVwOM0enPCa239KltR6q/VjoHaFJEUsFWQA+YXdMEZ7e+OMnjoHFHLbKqqaoqIJKW31AikOAGlXnBGMEjjnnPSxLrFxxNNmY3/wAGp3Gn3baA/ckkqnJOa0vpXVVv1paK7QGkrLY6V6rzLg9yllaOXy9o3wkMDuILsqYxk8lcDPQ3J41nw+jp001pew09Q9CtLWuiySx1O71pOIZTthbHB2qu4NkjnJ4eDVJobX1/i07JZbnG0scks1Tb3YGIkFGCgBtwKnG6QhfWwJx04vFn9Ebws0jpb9e0+r54yyN5sl0qCZ5JCDtUbBmR2I7BcA8nABYK1IYYWUrxtSZF8WiU8KgR6be+s/Xnx2/pJO+oamlMVd5hmmpxIzIJVyUKliTsOCMEnBVfboS/pdB9b7/4p+mx4T/ofReJtxSth1dHZ7ZJUNAjVcYk811AfAwQCACu7OMblHJPDj//AIdFP/8AqPpz/wAPJ/8AW6Gdv9J0xXdqJBOdj+1OtNt0XyVOteLOZIkes0sabw8p9Ma5NJaXjq7ZJG6wVUcvmfD04XdG8rpgkkLuIK4AO0D+q5NIeAPhzrtLaH8Wbfa/+Zs7UVvoHE1SHUKzF5ThS4AztByMjtz0gNB+L9XYtPWaxwVczGmj8qUnYroqq7AM8hwAfMICthRkHk8dTo9YVdIYdR0WnXrbf5ymqijkkMcT7VJ/axeWA5XONx4HGBjJLCHC4Qvc48sfGpval+GCGHUyOZH1p1eKf6NGk9B0rXiGo/WzVrOiST02JIcMWaOOFXURkA7g+eTnGMbel94Zae8LbP4jNq7VFqiEUdHBBSWuPbPvkB9dQpIB7BGC/MPWD3UnQukoNK+I+lKdLf4m2qcSRxyQwVdwMNbTODlUCTTysyBsgfKuGOO/WbPFSNfDfxPbTq01O/6hnEkzKN7GOZlxtOOwTaR9zz26VW2pqRfm1UDMTnpz+NR1N1vT2kXDSAUEgdSD0mmB+kx4AWi/6OuXi5Y7JFb7cZPiZ4TuzJNLGhnqsg8KziPaAOd5bncD1krT1309bdL3WjmoEmrbjEtIkgbJUKxZmYHsuREM8cKfr1vP9IzxsQ/o9Wvw5trQ0Vw1bFDT1U4KPIlGEDHEat++W7ZAGdrbQoJqfB/9Dnww0lpaG9+KFTSSVlXF8TIKirRYaZBjDM/ysRtfIIKj04BOCzh65aQA04TJIgekUSh5LyptQCQJPIZr+f8AZ9R/qfzo50EgqC7s5B4Y8fTkYz/I+3VTdqpKmvNfTgIZHErIufSxxnGeetA+Puo/0fKKvVvCq4JfpZ1y8fwE1OtO2BgATIoVOfq5OMnBPCiotNwXKopX1Le6eno5EMtOlEPNaRt2DCrdg34kjn8cNEPBP9xSSPr6Cot263DkZq+0j43a40zpa9aQtlxK09ytq2uobbub4RZHcxjPYFpGIxzycHnqLbrtpmSCiqJ6jyDDCfNBQsxfcQG4PJAOfY5Hc9XVp0PZqK+GlpnmqaeugYIlRCJ2Dr6RtCgM/LDG3a+Scjjmun8D9XSVU1Baa+0VBkhFVFClQodnPLQquThwMcEjgj3yADcP276oWrh89vuKbadaO2STwp4pOedCGsL4dR3oVFujnalpIxAkjZztGACck49v7vbppac8LdHam0XZa+kq7p+uYqmT9aqGUxTx7htSL6OAe+STu7DHQVpvRl5d/hmoqy3z06qZ46hTGXQuQzAEdhjJ/wC6fp1pyXxJoJaawtFZLJbaemp6OkkhtMav5jQRbXqJIVVsu28Aseclvm9g9R1BVm0EWgkp+X+abWHZ57VVl94EJPONj9il3q/wNi8Naunq6irBqquNHorRRzl6mDeqsnmbVzuIzkbgRnB3DIDD0DZrHpquqrnYoKSir6p1pWrsCUxVEkh82Rd3yhcHCrj50Ddz02vEW/8AgvW6HS9aJ08n9J46pf1nXpGBGFIZlEh25fcV7EDPOc5x1lnV3iANG09zsWma2pqKHU/l1E71iqHSWJpOIipxglhuIA5Qj90YBsdTevwAr80ZjaYmD6TWJ7T9n7xCyWyQj5jYfGmRqnxnm09qOkr7WIUs1qD1NNGigyy1jRbN0xzlnBKsSwJABUYHp642Hx/uWoTR010ZpMUSpOm8kHDSKzICSd2GXnHG0nPPDX/RQ8CdB610Ouotd6YN2rKkzRMKqZXgU+YVVlTOA20AZOT6SRgdvHiV+hHSC7Q3TwqnhtspaTzaSrnzAkZ3jejDLAAo3HPzLjGOQe/t9SeXaqQeIGAqBEjHrQ1lZu6MlJdPFxAgpyRneeVEn6NVVLUXW90NynetFZSw1K1ZOTLt4WQjHDYwGGT789aBgtYiVHpyZZafDKXJYLxyo5wM8HP9vSt/Re8EdX+H1sqqLUsUb1EErxxTrICs8DYIwfb6EcdutD0dhSJiZ6gNMjFxxng9+D+A/h1stKaW1bhKt5NMrBpKWAEiBJgeU7Vnzxz8V67RtfT01PTtIiwrMEC+ncP65IwcllAGB2PPOCKaH8Qbnq/iGkykzYO7JWONnIfJ+3lLkZ43DA4x1orWXhHp/V9IVuVDDKwPpeRATwR+8Rkdu3VbpLwipdNUc1BQ0MNPG4bc68bsk8ZP2xwOqlWDirnvp5/DpVblosv95NKGW3XSmkdaR5Du9SJGpdVXB3Od3JO4nA/1jzjucLp6mr0CvSQxwphI3RGzzn5n7E84z7BccHozGhYqOtWtFPO7R7VRRMB5QGcYJyAOc/boJ1jQaoEjRWikWSiGVZS5DM2CSAB7knOft9TjpjdPFtEkTVp4bYFUb0pPE67XTRTGntjRCqKETsRiNIwpwpHpPPcYJySB2z1ia4+LN5pWrkt8hh/WSiOoRmZgcOGBwTxgAD+fHGP6G6k8GrzrWzJPcLg9NUJHtkWQ5UKchQM59ILffGOMd+ss379D3VViutVNR2xLoiBnLgb4xkHcARxlcHk45HHS1NoVjjWielKTpy3XlPOZCsj9qWeqq67a1qoau20BljFMlRUM8fpNQiFX7/MzBEJX3P49MvQGidP3iw/rm01aOVCtNRJEEeLcTkjntxx9Ae3cdC9nmtljuQtSVlTDUU4Y+S42hWDERr7ZJI7dxtB+wYvhf8DU6sp5LF8PAlW8sksJbdIpCMWTAPAJwcn3Xtjqi1ueFwtREUOhNxYXDacFKjH7+6reCir4Hq44KMjbDHHU+Wu7ywAAh+3ZBwe4/LrhC06VGaSGQiCSUFFlwQMgKcgYGDk54HHGO5aMWnaaW4SyRJLSfFKqkPklxkAk9sYI4GPuDxzAvunHpqKev2wyLSo8sr5ChwqEqoJ5OQG47dgfp02BBFaeYzSk1nbtFW20RyXDUMLV1NVJJDBFK298qP2JGdoXBJ37SfYe2SnSmoNS3i0C96dioqGy0hSlgkrUaQKQxzIEBG1XO8jkrhSxJZsBFeIV6paS7It5p2pZYq6RzLAAcRgqFYrnBJwxxnvjqopfEXVM+nZbTpVJvNqsU8tGjegkL6PSeMDcTu7d84yehHR3pk1ir11Tj6V8MZjp760XpTX36UOpLTqPT+mrDZ64Q3Wohqb/ADSxrBSQoAjw00Tbd2NrMOCN0rAjJGBHxUT9Jjwo0DUWqaphqNN3yc1FyrUieasppJlxJHI5Aba5IBfBJbJDDPNT4d+Ml/8AC3w3qtAVMkcFctK6AEgTCqc5kfdzubBY7+fbBGT0wNQeLNL4p/o5tbLuF+KNhalqHiyJJaiCMksRwDj6Hkg+kkrg+pACgfZTJu+QvwZxis2688JNVeEEFNqir0tT3qyXXNRS1kpkXaA3HmIpG37jJByDkZ6bng545eGevtPL4b11qj0nepwEihpNxoa+TAATG5SpYt2Y9vc4666M/STg8QvB6j034hPHcbpSwyxNv53QwKkasRgDcys4bJwwK9sZ6xTcFhjudWKJ3ECTOIW7HYCdp/gB1JDPfgpdGRzq5tpp9SmzuOdNDxj01WaE1pLVUsCI0ErYYAbTnsVGSFIB++Mg9VVt8TJZ4vImWdZIYFKS4yd6Llmwo7784P0Yk85J+uOo7jqjRVugqq+qljt6bRG0zOqEDaTgnv78ex6YHgF4YS68v1tnjulro5Le7zRTSTwy+pSGCvGu4lCud3mLt+YE84A9+q3t2C7cCQnnT7Q1PuK7htUEdaJPDCmS7wwXBxHDQ3ChlFQGhDH4tHCiPax5Uxujc/fpl2iaz2nTqavqJ9tVaIBBJKlIMsMBMLg8krsbg5LRjnb0Laiu1NY6mTT1rs8NtgoKkslPESsQLEkqvsytjhiTwAOAOqahr6cTpaIE+HpYF3U1HSQCRy8i52hi2chicZ3bewAznrn1xxXqiv8AKkmY8ufvEV1RqwUwwCcmMmqSausGpI6iKr8OrUlNBAzyCSdUl88yKrO8uMgldzcnuRyflITcKTTVT5Vsjt1bb6SnmmINVVmdmTCnZuXC+kjGAAeQMg5JeHwOnNSRUmnG8NZ/1wkslfUTxxTyyxwuUJqJZCSiICDljg5OCAek5qzwautddq9/D6OS+08T8wUqyyShQgLPuKhWCndznBAyPcdarTLltJKVygcpOPWZj21zjW7Jy4RFuZI3IgkftV3YLX4aW2eBWnjoPPVnWV32TcfIFODgh9pBI7c7RjJN7R4K3u+1NNrS+xh7HOXpoKqmrIBNNtJw5RXMgfhQd6qSH9iOs4x/rOuusVqucxttTQHOapGR0bdj5Wxzz24HWgTq286crdKXOjvNpuVHbKNqGthoKcx06K3DZij9G9wudyg+obsn2a3du8tBDJ8RB9nSsNaML0x8OqdVxev37q7eIupPD7T8Nusl+8OrhXzx1CNDeLpTeXLIo+ZQSeVHHoIGNuCPcBXifcvDbUZkpNP6YpIZmjVKSWkokpZIJSBgERZSUexwM9yPbB5Sa6uN+mmjvFHQ6rttvq5JqSO4UK1UbU4HEYXDAvh8KMnI39iOuup9OaPo7VPftPaOtlElwQS+VHDnJI25XOWiVSj4UYw3qB4Gc6lxvTnG0r4gryOJPqce6K6HZXLmssOcCQrhEnqB7qB/0ZbhJoUXnUdNIUuUEiwpSecUedk52qB8vqK5c5wAQoLMvUvUWlvFfxE1AdQaq1GlYlyJqqeOnkkWCCRv2cSJCRuCqisBtBGABkknofsukaix3OqNf50t2jG6Py6gRBlwr+p2yT27rj1Eg59yiw+MtVozUNi1KkKS19jiPklWmjijnVzmNsPh1CDAIAB3HggHJt1cOuuly1AVI6eXKjrLsna2rHf36T3q8jpA5Hp5860P4P6O1r4c0q1GrKOdrcN1wooZYsSL6cSJwACZPJiOcg9wwHue/wDL1dP/AETqP/2uf/63WMvE79KLxZ8TLokt91xNSW+fe8MNudoIBgcKVQgEjjBYkrng46B/+WHxH/8AT3Uv/j5f8ehFaU7dgLdIB9v0pEdDbt3lrtoAUZI3ggAY8qOtb0GkaW6UF5s9ngq5PJzO8Kq9OXJ3LK0UY5OGC8k8diTgKaaX1PqO8agjpqRKVLJNFGtTUx0+QzMeWEGNxYAgDOB9xjpI2y5mhus1trI8yQSvCqyS7VhJOW7AjOcYABOAOVxkntw8TKfROm64W8RTVnwBo42kGX82T0kBmJLOFznn0hhjHI61DelpeeKn1YExHIVjNX7RXLTCbHT2pWqJKsicchHxo21F4VWdaaq1VpfUN5q7x5ZlWrWoioqZVjCgBVjVzgAq3DAkv39+l7pjw78VvEjUC1XledLUfsWmrJSQ4jXbkMASQgGMke2OSOhGw3/xZ0/ZEsls1F8RZi4ZkaJWaHd5e8jcMgYRMer2HAJ6/p9+iZoO0XPSldqO406wxVKwQ0W4cxU8RMiOv9U7oAfurgHtyKtpkEd0ZOckyR5VRaaZqrtz+H1BaVI3kCMDG2ACZxvGa/nbre0eIFq13U6a8Qoo6C4UckdG0lSwjgjT0qhVuwjIKncO4IJz02rt+jJfLlJSUfiDq26yznb5LzTfs5UOfQJFEj4AAUDjt7cACH6eGrodf+KtXJp2pj/U+laYWyerQZSsq4nZWZSPmUMdu48A7sZ9x7wt/TE1BDc7ZY/FysqLtpamienlalpYhXRRmHy1KN6Q+0gN6jnIzkkdSat0q4nk+I/fxqVzpV9ZrUuyc4SfiOU0L+OfgtRaFlgfTaVVZNuczeTLDPB5ajOQUw2QMZBGcAk9KCmrlnmWOTaqbt20OEAIGM5Jx29s9b18Q7ZPetK0WoKepFXa7rZqa5Ry1RbaUZFDhVGd43HJAxjOQfTxiLU2ijFfLglpiK0tKolKrubYON2D3KjPf6Ed+/TNpQcRJrzs5rb91xsXeFpP39KZGi9IyalNHqGfW9BpqjkkeOnSRhUSuowXfYzKPLAHpySSwAVSSD0Y09g0PpS7V1JNrKTVNa4jkjqYp2t7qDkqUCl1OM8gsfyHJSej7vcrjJR6RpabzHlkCRusuAq4OWIIPAGW7cYzg9HlBoKuOrKaahaK6WZiipPWlkXcCAdyqSWxknH07gDB6TXVotalBS4HkBtyzvW1c1y008Argq3gn34q4s1be9WwXSqv9dU1NNDRSUsEkczPIUG9sOqHjhGOSOw9/lMXRdmv8t0ttVQukwoxG8lBIrRhonG4phx6t28ocjHK44I6L7XYzQx1VBUPNCgglHmPHGUARMuiSStkghZMpu9WSFOQQHJ4Z2TTVJZaiO46Ztu9aZZi1PthlmYQlpI8hjvVQGXKHkAMedvWcv74Wls84kCRACfXH81tdL1NL7ls14i2sEkiMQQROdqHtP6MtNTp276MS4zVVsvM4rUbzdjxx70KZkAIOMyE+/pOcHqm8VfBqj1BRTXHTdvgmnbyqSnbf6LdRxKCkaKM5kcgu552qXOMHIqdQajqYtSS2NJ3oLadrVdHTzENISxyAcDuWPBwfp36cnhRfKSq09dLjXLLT01uX4gU8UCyVM0B7gI+4EY/dRST7tgkHJly/wBOdReIUfEQYiZmBy3OBt7TE107tFoWnt6Qt3BIHp7z7fZTM/RLv66L0Lb9N6pulsnp6B5vMaJcPTR7yfW+e+5uQcgZwDj1E01ve7tpzUV0ktFcyUMMCvTyoFZKiMx+aQ2ewOBg5zwfp1lLxb8RLVdNLr+o6a8UDVlwenQXGBollZVU74lUlUOe4CKpwCSCQOoGjP0hLtPp6HTWs6cg01C1DT1BEZWSFySqRDcVcKGfBHqwOeF43jJUkh9SMDxCN5ifn8RX5Pt3bm8eUw7GTIM4E436dPSnLr79Ky5aU0rQ6t0vVwTVdwtlTHJAkiSJBJvSOJsdyRIZSM91z35xI/RhuPivctOzasvtdV1Nx1QFkirKt2/aRhgECZ7EqzSZPzBogO2esr6R0lSXqqFNeLPWyQGXE6AFRFHEGdwWBAx5hAz6c9uM5DRq/wBJDxitumYNJ+GWjkSKhdoorlDGJIIxgqEhO0KSu8gFcqCqYJwMOg45cMjuzJqCEKtni3euFMZ+Ugeua2XLrBtEXxqO5alS5TSsHkomYgxglRtU84Izkcc/bpsUE0NxoxWQsvllPMRh22kAj+XX8lrdrvxe0nqW01uu6OvHl3BJPMqIyyy5BwGbBz68NySTt9h3/ov4beJVNq7Rsd4tkoWQptljHK527uD7ggjHUtLNwySzdHfI/mnmnXbT8pb/AC8sz8aN7vqiz28kVD4XlSBkkkcnAA9h364GO3XalNZbamOQovq2nBX7Ee3t1krxs8YNN2y9UNY12qI6tYn8qJGCqCe5Oe5ygHPHPfGR1V+E/wClHfqK80Meo3daUTrBUAx4byzkY+mDw4OPdR9OoP6s4xdltSJQIE+vzolt/vHVI6fc1q2ZxTGOQ1YCtxKHl2nGfY9xjIPt1+zIlMGRfXFKu45GS7DnaOfYDvx989dNTU5mgjrbaUkCP56EAEMCvB79sHocqnnajYQyu3mEOkqDf5JHbOftgd/fv0/mRREcNIn9IHwQ0fd7wmt4qept01S/w9Q1HEoETLnLMuADwSPY/ft0KeE/gjeNMaga7Vk9O0Z3y0jo4KhCxwN3diQQf4daF1Hp43HRd0tMXmT+dDJIxlcFzLt5btkE/XPfpU+AmpblWUdbpm8RtJ+qTtikCjCqThVYn7YP8h9elDjfDdzyPwNKnG+C8Spex+BpkW2wwy4musSkZH7NVC55524wO3uAccnrlrSz0lRbmppVlcxqUCu3zIOCD9wc4HcjH16uKZWkmXZVtlotoVpMu4PGVAGPb2Ocn7nqLdZoK9UttROA+8F59vyDaCQcDOcjuPf8emZaETNHKdghJGSY/msheNng7X3O5A0NvqFSpl+SNA7gA9u+Cc8d++M9CFs0La/DStnvtRURzVExhiigMuGjiZ18w5z9zkjsBjPJHWp/EK4x2iX9WLPHEzKDEAjPOxZ/SMKMjkHnJ49ueM3a1jvMxkr56aJoofNeFECxl+x5IP8AWyCCcDAOMqoGQvtTCH+5QaDb0f8Aq1ypSD4EwD09KTOs7tEl/rrkIpHm8vzf2j7yW3uGBAHJ28ZH9UdXumrNrOv0Q1zorNdXtlWWimmiVmaAbssQi4fZtc5IG0gN9yKjT2hNXeI2rKSyWiPdJcM+dMzbxCufU74z6fwGSc8cjrZlP4c6E8FvDmst9HfJ7RdKvyqaluUtxeemqJjg7BTeaB5uRwoQ43H6cN7bwtBJMmvtQYaXcd2hPDHs9MUjfB3ww8Kaejp7S6zT6oo7owraiomMSKFJDwbBlVTCnnDF93tgdGPit+jv4E6wu89/rtc6X0VJRUcdJPbbc1PHL8VtDBzSxnJ/eGAuWBB4xzB1vpeCw6Lp9U1teq3epDrX+TEkElGsQCrKwTO+UoxYA5K+nBw2egrWPgXdbBpOh8RLNqGor6KrkhdqeqCCXay7g3Jxlu+3AyDlWYHPV4dWckwaqulm2TuOIj5UnItCx2vUFRpfSd8ivweRvJZqSSmmmUchlRwV7AEeo5HWivBLSVr8J7bJb7nR0dyvM0c09fLUBhFQKyYjWNkG9nLYGOQfV294tp8MrBA8eubBUq0E1verieCpEkNMpGKmIgfIfMDBW3AYOBk9BGstYU+l6FrfRVUnnESRtUR+otuALSISAd3ZQ3GAvGQT0k1ZL16v8Kn8vPz/AMVTpOrsol9Cv7sjBHPqfL0qz1xbvgtQw1FVVxxPV7pKfypNw4zndIOTgrnAOPm5GMmmo7zatM3CS7anjq6u3NtppWpo/MaBWyFK+YQOO4zjP05z0vazxR1FVRXKWek8pGo0pKBWhzHSDOOGbnJTPPuft1Op7hfdb01x05SW5ZI7tbKaOEsVRRVRlJCw9yNu5cDP8M9AM6E+Epaejh2MHljY+33iusu9tm1WZbbiYiYojr/G7VGmdRVE/htqmFqG5U8lJUisplZjBLjMQ3DeoUg4KEYORnBx0yf0d9Uaf1prs6Z1XrA6csrKxSWJ4YZHxnJaeXIOcHg53cDgdJy1+H1ppaE6Y1pHddO39E88tWxgRIpPD4dVJ3FSF2kqc/N7dNb9Gjww0TBqaubVGtXeFI25oak/BVDAFQryoQ6ZLDG7bycZGQzPlWLAQlsiSnAkb+dc5Y1TgK0JMFRn+Kov0yPAu56R1HLrPTN8rtQ2KUjzK6pC+fCAQFD7eGXBX1DjJPfhiB6C8K9W+JWprdpHTdzKme1Q19ZUVMhWKCEA7wdoztJZAAOeQOnJbLvddE6uvXhLdq+Sotkku+jNRT42KzbhD6txCuoCEZP73IByZHh/qyXwru+pLDutNprqyWClpJLnKoFNTpu2NgnLrswcDu2wHHJBCXzbtBB9lB3Vykup7znNUds8D/G3Req2sNuoILqjvGiVElUBDModvkD7WBUhQVxjJBY4IzcU0NTom9NU6wtN3laCcQiGrp1gCKc5fcRj9307h6gw9sFnz4Z6coLFZ5tQ0filbprhcZmnNdLN+tWWfGQ4SPhX4Y7dpwOOy56EvGrRXijb6aovmuahr5bU9cc9vRoxHEYwSzwh0WFgPbyyeckkc9Jr+0F6iDj4fHzorRNTV2fufxiUngVggQcdSJEkUlL7c9OTDffZzR11BwsfMqmMklVYrxnBwVOfzwAE1rO+02pbzVSWfTFBTU0sjJ5VI0nlFvrHuYlSTg7Qce2OjnVOnbfdbXVV1PcLhTRyMDFNV0y/D4OxDGzozAHPILAZU9zuB6o9H2nSlraGq1BUyikp/wBt5EY2SSk+kqrMc7MqeT2Ptzk12Fu3YsqfySMR+3t610LV9fVrNw3asLHDvxeR3oRo9Aa41XSU89vphJTTMscaxR/NIibcDHO7HcfUj6jq1/8Au8a//wCqp/sSf/J0c0GqK+11FbedBVFXbQWDVdJ5gYxkcx1CnOMf1mHBBOT36vf+XPXX/o5cf/bz/wCPXjuq6oVf+OlMdDuPXP8AO9UJ0m0SB3hJ9Jj5UlbzKIdU3BqCqjkV6h5PPjzsVGOSVzyTyMfc9eP1RLqB2Fx3wU9MzR04D4IXPztngkk/j1TyWu7fAR3GeMrTyPvhLMMMF4JPuOeOcZ60D4M6UvlZaqW+1tlt9dFIpT4SsRy5hIGyVfLG7LHONxC8c5HT28uXW2f7OTtjyrHWOmMIuC48Y6T51YaX05Hc9HPfoDKIJKQ0E6JIB5EwP7PPPpVZAOScnt7jp2V/j3qG/wDgNVaP0jT1lkhoaP8A8t3KDIZpHVAtPD3KJ2DvnIVsDlug6/wXOy3SKj05ouoslrkVp0qp9piLBwrErINpwkbAKpYnjcW7ii0l4kV0emDpAUVBHY5WmaruESlErZUYSZLYwfUoIDAelQApb5s8CQ0pxEhcAlJiR7fPpvT1X6qQoDh2Cuu3Ly91CVxpNPHQqWG5Wcx1FVTmqlrJfNzTLHnaChwpB3A85OSPqvWcrvZKwMa2GiEMOOAWG4j67fb+/rWevK22S3R4639XQUtbRQJBR01WcmTYssjSk8YGCD6uGwNo5XrPWsZa/VOsKyk09YiHbEMNLSmSUnaApk9XJLd+AOWwAvbplopfCQopgETPKl98u24y2lcq6c/4o7/R58QNXR3GzaLule0ulqmqMBarwVonkXYrJI3KIrOrMo9GTkjgHo80t4BRa31pXwaqvTWkQVU9GIKaVPMdUZhh852ckqAQThQfoSA6QrbTY7TSw3+gWWBdrRPtLLGqnsqEgF23ZJH0+5PVxF4hrpzU/wAVT08cjxvHVRtLlt6lFI3A8lskgnPbj79aTRSxdXKmXhiJHQnzrL6jowtHxftbqACh8j9KcXjJ+hlpbw+05TXjSU9ZarrPCShlcyRSggYJJyRntlf4HPWd9I2jU1JWyQajur0clOeYncOwRckt39HZiMH2Y446OtWfpCeIus6BNNXCrrKs0qA07SyHdDHnI5PAHOefr0sdQ6sSuukQ+NijmNMI2eLaFZvUH4xyTkKOcY4zjovWLdLbQ7oCedW2tnb6gtX4yUpjBABPxp5VdVSRwxXeKr80R7qCqeU+XsaSJkDM/wAxKnkgjGVTcSCepvh7qayLfKnQd01J8DNc5I4kqI3zEZQFHmtJtJBLcE84G7POOlEfEZJrNRW6hpIaOtkmCStTsGQqRIhJV87Tjvz+9nqD4wpLpgU1AbNTM00EMa3CCYZbKDhkU+kjC4GOfcknrnaNNW/xMPGOP0nB3n6Vt7O6tLBDSWh+QYPISNo50eaZp6DxHuVfQW5IqKvq6looJ2mCqFMjAB5GYlztbeQuSSp9l5bmjbhctC+HNU9/s4rampZKSe4W+aRoI493zFgqhnUZLY3KBtIIYcI/wLvVohoL7UXeualmq4YpaYU5+WeNBtkdHBMnr2kqMglmxtHKtCn8QLtp/TFXe6qojFxqKVpKOqSPFRE24qZATnaASdu0n25HK9Tc09ht7gdSFIBETuKzvaftxeJaFk24TJhQHMGIg/T21Iulnsepbkn69tEhaOqWRUa2GQSBUP7UFzGshxuJYMQMAEHGegTxAuNHJeorVQGkaltbpsmBCRRImEKIq7VBPAHoyGZRkjoC0j4xz6Mmmr7u/wCs0p597UtS+WqieVj39wm5QWPfAwMZ6Z3huJPEuzV18uVbAKmVh5VNSU0YigZ2QlfdjgF/mOQIzknPR92gsto7sEkqAA9elLNGtF3Tby3jwoSknJ6UOa51okmtKm4Wqula1XRWMTJHtTJB2qQfmAY57DOcY9gR0/il4kaC03SeJej7+KyG31i2+40Nyp43R2BAHCDAXHG3duAOeck9TaHw9sb+FVF4gXOm/WdXeEneCFnYvT7Zfn5JLknghhxyffATWo4L1fZTboahfgEDVlMy9wAPVGxJJKgFSoOSBxkdyVYMiyaJcHCNvXzoN9buuXqUNwtSNz68h6betP2fx0h8abIaC+2Slt08m4TQ0imSkqicMMbsmJgMN3HHOGwcaS8ALPW6f8OXt6yCeWSV3U448onCntjsADjuc9fzd0rLd7JX2hqiSpShq60VCxSlo9zQjBJQcE7SBn8QO/W8fAzxYotG6Yap1Jdo5aUtilVSUeFGyAjBwDgFTsPPGc4x0Uu6YZgr5c6KsLL+nvKU5gHaaTH6WWnhR3W01dDTTeYkU8s5CEkPlX2nB7Z7dsD6nHSxt1zqbtRLNQEo1PCEqYDhVlixgSFjlmYH1ZODjgcBetL+IH6SMUlynr7VoyCvtKMJJqp4i/lJt53AcEe/BPyngYGRm7f0Q1jRxVFh03T2y7mnavpqulQxw1K7jmNkwM7gnzbQQeM4PKW41BD654YBOD+4q8wp4lAPrGIrYvg9Uy6g8H9L1pq/iJBbY4pHDAnco2849+OerKSyOiNTRQ7fQG2t82fx/wA9+gX9EulrKXTFfRuJPgZZUmpFPIUMgLAfgcj8AOnw9gLOzxx8v+9jPOffrU2qiplJPSmTfiQCd6CrdbHaVVmD4ZWUq7Z+v8v8egSj0DaNO3m8G0II6urlSYruAwFJOAPpz/Z08o9OzfFGUIQuMYx1X3TRPnXOC5pGRJGpjcj3UggH8epLQSoKA2qLqCYIpTihq6OgiNLUeZUBxu3hsxkk4XJ4zj6f4490lJBO0VfCrnejeb5o5jI4wG9+B9OmTXaJDoQYcqxDnA7nHv7dU9bp2akglPlNsJLMUXDEn3Ax7cdTWOKTFeIbKRBM1gfXmrJbper/AKoqfLWvt1TJR0hMkmI87sNx6SQoyAB7t79L68+NV/ooaKpkqoqqkkZI3p529bMVClm24YE7SeScbuO/Df8AFXQ10W81trgjMQjkapMiJ8z9gWP1wcc+2es6660fPULb4oo1g8vdwYgGc85JwOfVnv8AXrFfhGXboh4c/cK+t3A1a92iQcznck70WU/ifpnQdedeW22TvVT0iUwoopiI3kznzS+chdgwfchsd/UAq6eKN71tqShuF+us9WVrnngpixApv2oKqq/IAAo4HYA9s9UF0pK6tt0MciMyU67NpJ4wSeB/jnv1B0nYphf4YvLLDzVUnGOOOf4Ht1oLNpDbYT0pO4hTjq1AycD2Y/atP+JMf620jWyVMqn4ws0rDgruGAo/AYAyewHSw8C/EzX2lo200lBDd7ZUztS1FDO0cmZlJwRvzt+obsCcn7N3xFttRNoWdU9J8oFT9/r1nqW6jTlqq5KJE+Jncw7mALqz4LOp75OP4cdePqWBwp9lWao0HE8Kx6etOxLfW6lst4r49RWWjoWWemnpBHJIzTsxMbB+A7rnYzBfVuUeraGVCal0TdYrnb7JW10NXNUzGm+IQNuYhiG3DGQRg8ZORj33AfsviJeqfT7aYtsU02ykiMRiU4UHLyH3I9TsScj/AApb1fb9Of6RRmeFo5ozI0i8lypG7GMDhT35wT39R6BZbvO8UpZEctumKHbsrRgsuNnJ/OOfqOmMV28TtGx6Op6VaSrgq6Woj/00R9e8EhgVLHn2ycZ7jIwTa/o4aRfWWopoKyS4mkp4wJFpq16ZAPYuVIY4XccD+zPQXrHUc2o5nrahIqUTMu4ImfMJyCwHsCc5H2/jaWHWVZo+2VNgtU4Sou1fulkQAFYBjIUj3IGB9M8ckHplah4W4Q+fHTPUvw5UpNkIBj+a3j4N0egdL/r3V9jhp9TLHUNba63VVw+PkpwCrSTReYSUc9sM3O3GR83XSm8VvBO302o4NP6ksFjW5g1lfTVES0FUr7cCPGFLEg/KBIvJxzknEdr1pdvBmn/XdmvVXT3a4S/F0sEKo9NLD5hDxVIJBHy8Lt+hyOiyZtJ37TUmvq6KjjvWouTHTqTT0qLGzNEisWZcbY0JJJ/aNznGPErBT3h22ryE2LYQvJ+80X6ynodV2e6+J9stVdVWXRqwyQV/lBCZDMiBFI+Zed5xwAAeCSOiP9Fiz+FOo5zcZdbCe/Vqu9ZRV8MBZBuGdryKwwWYEEYbkZxtx1AvV/ex/opXuwWqsinFakUtTAikFEd0CscgAjBAA5IIGSc8Zh0uuodN1dHqexMKIsH21MseadoiNrK6sCGVtxUqRjnqA7t1JUeWM0M3aJvVcda7/Ss07rHwh1DH4geGmrqyzwwVMNNNb6YeWsE7qzq+APLYPsYkMPf3GcDdg/S0vPiTb6WxeIEcMN2tzftq6njEQqEwwaWSMcCRQT8mAd3ZcE9AV/8AELVHifpqj07q7WVsE9hRzRSMsivcgo9KZxgsoLBGcDPAJyRmRR+E+ldOU9g19rDUdPQxXCeORKBZXSaeINtLBlBaMMQ2WbHGMEHoQltY7rny++Yq69sk2trxr2B2HvrrqPR1DV3Ov0zWaiqTRT7HWppxvjm3FGilWMek5B9iD8+flOfWldKaMfUlj0/ctRxCjrIjHNWMpk8mRVYguI9wLFduMnGV7kd5tBo7T2r1m0ZHqEUYgn82CtWYMsVIVZm3Ke4/aoAq5JYsfY9MbSP6OmnLXV0up9M+LtDerjb5Fr4AxjaIVCEEhlLsGbjuRt578HERLzSkSfvnWfs37hT4uLdR4EmQnH37Jpc33S9JZ72JLRU089XSlvh62kB/aRD5oqimYBzHwcyqpAySRxxG2WD/AND7R/8A3DB/9Tpj3643jWnizXXPxL1tQ2SZQ0xp7falniLLnEixF9gdveTAO1CThlCmq/X6f9LaP/H1X/8A0dZl9IYUEOZMdSD7YI/bpXYdI1n+pMlxpJEGD4edKKh03T2mSMahko4bLTvEFnOJIwQCCZFIDMcu2AAASMjK4JdVs8ZdFWOuFtt1XXfq1ZfNo5TLCzuTGP8ASybdrMSc7hkKFABPfpG3ittVztXxFj2C5088ZkjmZ1LqAdp2AfuphSWIXOCOSehy4UVHcYz+vke2wwqwZEyzzdwMONwG04OMc4x9xrmXUiYweePkPOsfZ2t8GkC6MmMdPac7etak1Z406S11oWB621ytSSStTtiQr8S0cgy29m9IYElSfdhgL75msmqL/oy9XJKCjuP6tqBK8cnlCHzISe53KwA9yRksMjPq68aYrqGGqnoqqsp5KejpmNOksb4nkEZw47YIxhVbGAxxnnJis10azSUtXe6OcyxsFjiq/wBq5CK3IfIKj94g+ojA9uqi+LYrSU8QV19KNXp34zhUVQQNvOumjaW03Sor9RXvTVbc0WZIIqrZiGN/VkSYX1EYBAyOEIxyT0Yy3c2ysjXTl6mtE4oD5rRUnmzSktvLCEYQ7QMBi3BLgbiwwiNP+Id103XzUNBVVlKhkkSV1YsGDD1gA4xnjP1xznGOrrV+s4Km2WWteKqrq/zpnb1SKzpnGA5yVyQDx/Lo9xx0lDCUjg/xufdWR7h1FypxRkk+6mBDq7SN4aosJr5q6GYSSR3Gqo41XzDgeZuGCoBy2CocjA/Ebu9+t2gZ6qw/ranugmENRDV08CqwIGSQWyVb90cDaFGO+Sk5rxVvIZPJOXB3YcHJYn+44/49eJbjXVOSafbyc5bAAPOOf889et2KmnCpCoB3FaYXKS0lKxKhTCumtmvNbEyUcjSnKyTICNy/ujcTzy2Bn2YdVVxscQ0/JcKSkl31k4WkllTmVQRxEQcd92Rye2cdCsNRVNHTRtGkQiyDKvJYAkgH8O35D6ddVr76amNTJJJvI9O07QSfbH93RRSsAJSrA5V53jS0ZT4utT7NVzLfKWhuuYijco6bgc4ABGRx98+56urmKeGqkWuuNFMys9O8TZZcjI3Ar8x9WQcfz46rbXY3fVStWPHQw0ibvPqY96F0GVULkBySAuAcdQ6mnp6WpkmlpZADKFXzW+ozyP8APfqsoSpwGeVAPIXwkDajvQuoaaOZLTNVOlIhSSUzTb40j/eJX94BQcAfhhjjqx8YPEum1DqWvksRe32SIxUtDTSkBlhi2glgM+tmLMx9yT9OgfT2l47xOQkgXzpFCbfSeOc/gOM9ddV6Jm0xd57VcYVkrIJHjnw2QrByBg/90KfzHVSGGfxMk+KJj3SfvrSYW7JUtahMkcucHn5/ShKruwq6ph5xZD3Bb0k/5A6K7N4m6n07ZY7ZYbrHQRrvYmCFRI5bcCSxzyVYgEex6F6qijimZgpCkZA9urQaZuktrS4Q07PTy+kOF+Ug89HpAxw0apDK2wFbU4NPeKd9sWhbVU2qYyw0MKTPFKA8R3yNHJGQfZsDI9wp6j0GutNKtTd6paejqKiaeWjt1JnZBu3lU5XkDcATznYqg8HAbS6I+I0RSTU8ZkrKiY+XEwIwi7mLA+4O4D/1T1Jsuhhd6FmrGSCSNsRRj0NuYPyMcEZXn7e/SrUGmVpPekgSNqj2fS3Z3ZVZZWSon2n6daYVmvlvSOKrlrg1Q5mL10EKxSMo2tLna4Ix6V8s4zgcZOOqCfXdobUKF56mc+b5MprahVU8EPIw7clnBU4yCMY9R6hU2joqu1p5FuqUr5A7FER2CANgggZADYYj3/EdeE8M5qWqjeptkohlCD10Zxhtu4lm7H5+326FtLRlKVKyQZGfpTrVLlb9ygOAeHpmfWm1UavoYHp7ta78wRN0jU4pD5RIOWZM8kuPKUEgZMR7YAJzo3Udrud5tJWSGkgpa5XSGBWXyadlXdHhRgf1uTwYyO+B0nqSz26SanijpVooIUDFF3kMWIDZ/I5Iz9B0zNIUldJWWaeht0tNTpKomOCowB+8TjjOD375+3S86eCpHCkmDz5evspum6RwLmBI99f0a8KY9F2bT9NBYXK06rwCuCBnsembTXW1FM+Yox3ycY6zboq4yxaWoJrHbFVCAsk8lSBgg4O0KOQNvue57nHVt/TLWVKreZbaItGxYqK8vk9s8xjnIHWvaynaKTlYrQq3K3b8owODjGO56/ZLnRgHAUn3z1n+XxMvlujeeus1U0SqGL0jRz8AcnYpEn14Ck8dWNm8SLZeoRV226Ryx8t+8GQcA7gcMDn2784+/V5USIqIUknFOWW40mcDYT/Z1X1k1JOhCxISfbHJ/LpZVGtJIYzMxiSPZlXZtvmc4PBPAB5z7Bvv1wj1tBUAha1VKVBiVg5ZMpncQRnI+hH/AAjU6heI3hnbtRmeahkjppp1xIQOSMdx9COkde/0XTXQMjyxMVJZQjAZ/Ink/wAe5PTvqtTVUkZihfcwjchQRExIJwvqIwSMnHsB/CpqbhJVFykhBD7jLuD7W2H3xycFRxwSR9h0A9ZMOq4yM18EJOQKy1ev0SbvEZYqNlbD7xIrD1A9x+P+PXTS36IF+iuCV0iwjawc7mX69xz3460rLfrhSTgVeZ1cbSsWcByByWC8DnnjH356gvq2WSZai3vDBF5eQwDOrEAbiGHHPtz7j8evUMIQIFepZQDMUP6r8Eaio0tNShomYRYOSPp1hDxT8NLrpquqqd4MqshbPPGD9fy46/oVW60q5I2wzTRtkKrA57qAPueTkYyP5FYaxtdj1fHNJWUULnymzHGSpD/XJzxjuOffnr1TacGvnmg4Ir+fsN2r7NQVCwU6qkbq7MYwXB7Agj2GD/EfTo6l174W1PhjR2i96ed7wZGeprk3qVyWZQQOX7Lgj0gsw9I7tm9eAVomqmWC4KqykeYiwMWiUn1AMQB2xnIAz78HEaDwwo6TTkFmnt6iWKR5Xqvmwo2lODwozjk98gcYPXgbQeWaSnTCHFKAiehrKupblQz3JJ46NIoZTuCRg4T7D6j/AB6HqmpimlE+dvrLKue3b360Dq3wEr6qr8y23Sl2yOGQPnLEgZbA5AyCMkAZH06C7j+jxq+JpRS1ltmWI5YJMWCZHALAEDnA79yB1NtASIqxq1W2nhINKasnaok3POzHJILNk8nJ/t6trTq2rt9JBRJMRBA7nYTgHJB5/Egfw64ag0pedOV5o7vRtTvztLcq4+qnsR1S/CPknH4ffq4oSoQatU2FDhVVzLq68GoqmW6VQhqyVmg89vLkjznYwB5X7dFunNf221WOWJ7SRG7xKIxJkygN6wZMblOApXuPSMgjgrf4Rs9wD989WFPSytAH5cRgjAGQvHfB/t+3UXGELSEqFWAcOE0U11ku9TRvXLLPN8U0ktOHfawRsswfjGcAcZHfou8JtfWfTOsIazxUoqu529aSSgkpVODChUlS6EqXUHLbAy5JHPsV5DdLlSL5KV0jNwpgmXfEDjnCnjt3/E9VtSjuckxoXOSF4Gfw9uqUtceFxX1yht9vgznenrpDROktbx6h1Pbdc01noaNGEdJJG4lLEO8Uar2OVjY4YgHYRknAJB4QaUt1ySo1Bcp1ir5IfMjFzplko3icjLYJLSerJ7HAz74IQmj7BfqysnrLbPHEKEZn8yTACH0nj94eoZ/Hq80nrK76btV1t1LW76aYxl41+UBZV43YyARnkEe3J7FbqNmt1hbTC4URE9M/tXmmMItrptxwSkHnzFbA/oDpWWGvvVi1VQV9yn3wbI5lp4SHl2lNkZLBQFyvZOePcdKb9X+J3/Um/gP/AKnSvsmvavTcr3C3VA8yfdE4djtAKjYwxj1Lzz9cd8nqu/WtZ/0h/wBg/wCPWbs9MvbUqS84FjEFSc+YwRgVtnzZuELYCmydwggA9CaqhcL8lviSsrZDE86Sht7eY7AHHJ7dvpyRn6dFMWqaR6VqentmKlVQtXSTNIY8IMj1BgxZgW9uWJ9hiRaNM2movdHbr/cY0QyKrQ0+Hk3kAYLZ2qMg5JOeTx0yLRpfR9KK1aSnhnhSZ0yxLFlB5bv7nt9jjrTvpbA4nBSJhx1RKWz76WmkdK6p1tTVsNtlkmpFlMirJOlLCkzceYxJC8KcDOPoMDva1uhrhb7Z5tPc7ZUT0yOnlUdR50kjKFJO8ZDEZ+VchcD6Z6MdTWm9XVIbfpSiFPb6SJZKgU42oWVgu4kd/V7/AHHQhbfDa+0lmkvdbcJIpaBWkSPeQVbcCuPpkkdRBaWjjJjO1ecTqV8KRP39KoNMaOt9cWM7SF0SSeYgMMtwFGME9yc/jnq3n0/LqCKteOeKD9VQyBVZlVkQliQvIJJJJ4GRn8+iK/36wWkRtcKWoWqdQk81PIImYmPPK4w3JPsPuegSbWNgpKuWrpKCqqZpgyET1IVCH5Y7EA/M7vfoxK23SXETPIdIrPiyfae/ukEAkzzzUGy+Gdyr2haJTIku4DC52gY9TE4Cj7k44PV1/wAldIgUCra7yySEGnoJ4/QwH7zepz27BAD7N1a2G/XjVNO1BSRrDSU0RdqenXYijtk45PJAyxJ+/box8IdA0t5uST3GtVFdDKAOTkkgfxJ6ZaXa/jFrLhwkVZe36WAEtJn1pTV+lqq0VLldJ7III8o0kUzEk+3JweT1SS3m+GjNphgkp0ErHMMXlNtwAASoHHHv1pX9J3SVh0DU0FHba8zNhZH2nB7duP8APPSOsLV1yvUtf8RNscKwDMSB6+Rj8OrdRt0WhHPnUba9LiFKUYj40M2ylnorrTNLB5zPn5zn97HU/XFJV3C/t5iEDeoSNQOfSo9vwH8Omjqu9frFYrlTutN8HSLCi06hN8mCctjGfx7jqw0ZbbhFbrhfdRV80okpZFpV3H1SkDDE54x6sfl1lX79LR/EHcY99aO10xx4pR/yzVX4DaDj1bX0NHFIkHmPUM0srbQqICTzjvhePv1d6u07cNW2yfUXwAaqAnqZGVPVI2ck47/h+HQ9R6nulBbo7bTXyVbgJZFkJQEICy4AzwT83t00tPV16uenVnpb1OrJSzGQj0b3xgZI9s9Um+ZRcpcdO/hHtyc9DA91Baj2ZuXGVPJwlJ4lH5D2Z99Z9pdBS1tquU9bTus8UKzwA9twIyD+W4fn0wNGTWQaaa316bY4qWeQbiBlgBgj7kkfl0Q6wud50mtFCt1mmkqKGOaUecxw5JyO/HYdC1BV3m9ahpK243WupbU9bBFIBUSbEjLDccZ+nPTRR4ylYMRmlFrDSFtK8UxHlXGzrca7QlJBDE0RpaXyhIEy25iW4+/b+PVHFbdWzOk0FjuEpMewBIHYHB78D6E/x6KdZU9ZW+I98ptLXKsqrXFc6kUhWRgphVjtIAOANoz1JuOi9Zam+EEUc7RwwYxvJHbOf5HohaE3CeI0DbuJ0i4UG8kzPvql0t4f6qM9unrDHb9js8i1VSkD8n+oSGP5A9bj8L9PJHotAaOnqUCFi5DFcgKCM8cEA9ZV0T4X3ObUFFS1rOETbuyc45B6/oFoLSlHT6QWnp0BWnp8KPqd2OepMNZIFNbW5VdSsisoeO8jaav1HSabo6OkesoBJPJQU6KySMzYG9QWXgLkZ756D9Owam1NVUUUMFQ7SOqBSh7sTknPc/L3P16e/itoNNRarjui0+YY4VQrjgEN0YU2mtKaVq6262S3xQRyO08I2gFELekfb046qWyVrya+BUXD5UcWu2x6e0vSWQOC1PEse7+swwWP8cnr8ljeSFpvLZt5AyR2JJOf7OeoOnLgL0KancgkyOx+uMD/AA6trVq2z0Wmbi1wjjCUeZpZGUHhZY+B9eG6aJA4avBBND99u9Nb9P1ldGD50RkiVSfovt/DpPaBqa83KquJrfLlf/RPJhxG5PsD9R3xjIPcd+hfxj8bKauuFVb7YoFJLWTSoPlARjgDHtjoe0drGR72iFQYkljOAeCBjv0K4SXIHKg3Vy6I5Voyp1vcZYZoq20T7aeMFZaRWnQbVAKhYxvXnJ+U+3Oeog8Q7BUxqLbPbUAJ3NvG6MM2VU7fUsmCMqV3ZB7YYCltmppoaqupIo/LWcOGTHyrvyM/w6I7hb7Itr3VlTRVcrxUVRGu1XxvblTn3XPPV2IooLUDXGp1HLLDJV0VTBUzIrFVjmV2dTyQDuyQQxOc89vv1GpNVSyZjnVCqReZE8BYqF3gA+k+xOe/fue/SK1vc7bSlaqhhipZVcZeBBG+PpuHPuel+fEHUlPBItDfqxvJdW9cm8gA8Dc2Tt7ekHH26FcXwqzUkXqEnhVvWtLVqinpbjFULcN9Mro8q4VvLQ4VmIyQD2457/n1VyX1rSyQvVCMErJtQH0sB6cbflIAB9iM5OesvUXjlqj9YtHXPHJ5qEeYUGRk5zx3x6sewz9h0wtPX2o1LZqi+0t9cSUqeUUEZUlimGYENgcgHt3x7cdeghQmrzdJSYpwxXSkShZXq4kd5fMTHrEkpK7sOwPOSMgHsBnt1QVV3hqWWhV6cCZtjl5gigncDxyDyGySM/xGRWGPUd40bHqqjv1S03xssdVEtPEI4g5wApA7YX+zoeqrbeNlStXdrizFiSEKLjJDdwufb6+/36gFpqm4vUsgEg0fSXCB3FLUU4MyyKW2TGEhhhSmeFX2yGznGeBnqJPNC1XFcz5M2SXjj8qJ4i0e0BdpYZywXIPOOcHnpPV0hUVJNZXtJ5YwWrJeMN/VDBfzx0t9R6v1JbnEdLdqpAkjty5PPGM5z9+oSFHFUM6kh2QEmtC1tPTzzRJVqDTyP5SvH6xkHjC+x5fGecEnGe8SpS31M7xVDxUnkfs5VNNhwoK+oLhd7DI9XB7k8HjOerNaakt9rorhS3ou9VHvZXijfGOPdeOqDR+v9QV+oKZbpdp5Y5coydlweOwwOvWyHUcY2ox10tYIpgeNcFtuNqitVDTpWV8cwlYRbpNgwQcsmdpPHpJPufcYXNl8OFudueaW1XKjqYMEqyEoQTg91H1Pv7dNrSGkoRrisnlpErI6+1VaBJED4cpgEA+4zx9x0e+F3h9p3S3iHb/1/QKnwqpT1kNRHvVTvZXLKwPIx9PbqZUQmE0KVB7xGsyUXhLW3morpKKqZRTKWCPTPyo47jjqoslnq6S5laihqDDnkrC/OD+HHI6fNhoKvR1yvojmZqOqpKqkxvIG/aSp/s6VPg1a11P4h223XmonekjqVMy+aeUDjI79sdecSigyZqtsqCoNRpNOSyXHNLZpDTtIQfNTtn6nj79dh4XUk9P5k88kMiTAFojvUqf3trAHg9+T26fv6SPhrbvDynuq21M07MSmD+6sjAdvt1naku88VJTtTJJGwlPc49j989UNurIlNXvN8ANElf4WSW24y00Vy8/ZtZmp5IGEnp524lyf4d/brkPBe6xXOogp6Kolt9VCHildApwQG/JgRj8se/RFSRU9kp1kjrJpWnjppNzvg+tASPwBbqrstPebpdxQGRo1iWSFWwfUpJbnnnBJ5/Ae3UC8VJVwmBS9h9ffBMc4oGuehNVWyVjLZKt4dwBCAycY4zt/zweqLyKr/oJ//Zn/AA62JU2+DT1BW6f+K/8AKKRvCkijlwPWrD3HpcnpKfrHV/8A2TX/APh4/wD5Oldpqan1LQsAcJ3JifOtc9Z92lKhJncRMHpQDQswrY8MRhvr0zNISSG1ysZGyWXJz9z19190Rq/5fdVel7mmTRO6aapNjsvmRU4fBxuBmOc/XrnrxVS2uqKFDQwZAGM8Dr7r7pa5sP8AsPpVjX6x/wCp+tIDxFkkNxyXYnzF9/t0DxEmqweR19191o7P9EUkuv1DTr8FP/yfUre/6uPP/wDUw9Wvg3V1SpKRUygh8DDnjkdfdfdN9C/Xd9nyNJrzYVUeMNXVVupJjW1MtQQ+B5rl8D8+qvRwAmcAADy/7+vuvuq9a/UPpVDP6XtqzlRHtlRvRWxvPIz/AFOmNTqp8Pqg7R6VbHHb1nr7r7rB6h/66v8AsPnXUdL/APYa9PpSfUk32oyf3unzoRVHh3KwUA47457jr7r7pdrH5rf/ALJrRX3/ANHdf9TQDrd3a+MpdiNqcE/bq51miCyO4QBt8HOOey9fdfda1n8qPSuJ2/5R7KFrezR1dQUYr+09jj9zrRvh3Gj0oLorH4BzyM87G56+6+6P/wDyNVN/+4fbXLSXOsEz7SJjrZmiONMnHH7Fzx+I6+6+6ItOfpTOw/TNLe/9pP8Aun+3qNqPmncH/qcX/wAC9fdfde1cPzGu/hsT8VDz28z+xulnqqoqDoLUJM8mTUSj5j28yHjr7r7otv8ALXh2FZM1MzNck3MTyO5/1j0eaK//ADf8Cn9vX3X3Qo/UNDH81PVmb+kNxO45KTZ5789TLYA1zt6sMhqiPIPY/twOvuvupnaiRvSG14T8PKcn5j0sbUSZarJPP+I6+6+6CuedK1/rpqluAC3dwox37fn0yfB2SQWa5oJGC7hxnjr7r7r1r9KmD36hp6eEZJ8OdWITlRV0xAPYfP1Gun/4qqHt5K8fl19191BH51VU/wDkT6fvSjKqa6uYqCdy8kfc9A+vo4/iJBsXv9Ovuvupq/NUWPyClld/VShW5AJwD7dc9KxxreqYqij1+w6+6+69a/T99HPfT6Vprw6AOsrQSM5p5v7B0f6zJbxvvm4k7qxy2ff9q3fr7r7rxO5qlv8AL7aXWr440ttUURVzVDsMex6S/hWixeID+WoT1S/KMfvHr7r7qY/IapX+cU+v0gXebSUIldnBj53HOfV0qPEG30EOnNKzQ0VPHI9FKWZY1BYhzgkgc9fdfdLxy++VHq3PpVFeCfJtnJ//AAEB/kvRppdF/WanaMjHOPx6+6+69X+kr21Sz+qn1Hzos8SHdNdUex2XdRUhODjJMag9WHlRf9Gv8OvuvusTe/qD0Fbxv/d6n6V//9k=" width="301px" /></p>
<p>
<p>Generator Fun serves as a creative companion for individuals looking to name their artificial intelligence entities with flair and  innovation. It utilizes advanced algorithms to generate a wide array of names that reflect the intelligence, personality, and futuristic qualities of AI systems. From developers creating the next big chatbot to hobbyists fascinated by machine intelligence, this tool offers a vast selection of names that resonate with the cutting-edge nature of AI.</p>
</p>
<p><img 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" width="303px" /></p>
<p>
<p>As a faceless YouTube creator, leveraging the right tools and resources can significantly streamline your content creation process and elevate the quality of your videos. Consistency is key when it comes to growing your faceless YouTube channel. By establishing a regular upload schedule, you create a sense of anticipation among your audience, encouraging them to return to your channel for fresh content. Aim to publish videos on a specific day and time each week, and communicate this schedule to your viewers through your channel trailer, video descriptions, and social media channels. Crafting compelling scripts is essential for creating engaging faceless videos that resonate with your audience.</p>
</p>
<p>
Good bot names
</p>
<p>
<p>The generated text combines both the model&#8217;s learned information and its understanding of the input. Which is right for you depends on your product’s or company’s unique circumstances. Many companies will implement AI technologies to match the market trends and keep pace with their industry’s use of AI.</p>
</p>
<p>
<p>So, get creative and think outside the box to find an unforgettable name that truly represents the artificial intelligence you have developed. These are just a few examples of great AI names that can set your project or chatbot apart from the rest. Remember to choose a name that is memorable, easy to pronounce, and aligns with your AI’s purpose and capabilities. With the right name, your AI project or chatbot can make a lasting impression on users and showcase its top-notch abilities.</p>
</p>
<p>
Get the industry’s biggest tech news
</p>
<p>
<p>According to Holywater, the compensation for being an AI companion can exceed their regular actor salary. The company’s next bet will introduce AI characters that can interact with viewers, creating an immersive storytelling experience. My Drama is a new short series app with more than 30 shows, with a majority of them following a soap opera format in order to hook viewers.</p>
</p>
<p>
<p>Good Name Generator is an online tool designed to assist individuals and businesses in creating names for artificial intelligence entities, projects, or products. The generator then uses these inputs to produce a list of potential names that blend relevance with creativity. This tool is particularly useful for those looking to name their AI projects, products, or characters in a way that conveys intelligence, technological sophistication, or futuristic appeal.</p>
</p>
<p>
What is Business Name Generator
</p>
<p>
<p>Giving your bot a name will create a connection between the chatbot and the customer during the one-on-one conversation. Artificial Intelligence (AI) is a fascinating phenomenon that has been steadily making its mark on society since the 1950s. AI― as it is commonly referred to― refers to computer systems capable of performing tasks and activities that normally require human intellect. As a result, AI holds great potential for automating mundane processes and obtaining unprecedented insight into information for better decision-making in virtually all industries. At its core, Artificial Intelligence is about programming computers to mimic – with varying degrees, the cognitive processes of humans, like learning, reasoning, problem-solving, and self-correction. In time, we can only imagine what accomplishments await us if AI technology continues along its current trajectory.</p>
</p>
<p>
<p>This process not only protects the public from unsafe and ineffective tests and treatments but also helps health professionals decide whether and how to apply it in their practices. Unfortunately, the usual approach to protecting the public and helping doctors and hospitals manage new health care technologies won’t work for generative AI. To realize the full clinical benefits of this technology while minimizing its risks, we will need a regulatory approach as innovative as generative AI itself. As we move forward, it is a core business responsibility to shape a future that prioritizes people over profit, values over efficiency, and humanity over technology. Brain-Computer Interfaces (BCIs) represent the cutting edge of human-AI integration, translating thoughts into digital commands. Companies like Neuralink are pioneering interfaces that enable direct device control through thought, unlocking new possibilities for individuals with physical disabilities.</p>
</p>
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" width="305px" /></p>
<p>
<p>Capture key discussions, decisions, and action items to ensure effective follow-up and communication. Craft irresistible hooks that grab your audience&#8217;s attention with our AI-powered generator. Create compelling openings for your articles, stories, or marketing copy. Craft professional and effective email replies with our AI-powered generator.</p>
</p>
<p>
Powerful artificial intelligence names
</p>
<p>
<p>This generator is particularly useful for those looking to step away from traditional naming methods and explore a more personalized, modern approach to naming. Stork Name Generator is an online tool designed to streamline the process of finding the perfect name for various purposes. Whether you’re searching for a unique name <a href="https://chat.openai.com/">https://chat.openai.com/</a> for a new business venture, a character in a story, or even a newborn, this AI-powered tool is equipped to assist. It leverages artificial intelligence technology to offer a wide range of name suggestions tailored to user preferences, providing a creative and efficient solution to the often challenging task of naming.</p>
</p>
<p>
<p>Your decision on when and how to name your AI technology will be influenced by many factors. If you want your parent brand to accrue the benefit and brand equity that AI features deliver, use a descriptive name like [Parent Brand] AI. But if you want your AI to grow and evolve as a separate product and entity, you may name it something  cleverer, as Google did with Bard. Whether or not to create a branded term (e.g., Bard, Lensa, Einstein) for your AI is a more complex question to answer. The acronym AI is used in many of the new names in the market, from established frontrunner OpenAI to Elon Musk’s newly launched xAI.</p>
</p>
<p>
<p>When looking for AI brand name ideas, you need to look for something that highlights your forward-thinking capabilities. This AI brand name generator uses advanced technology to offer catchy and creative business names for your AI startup along with domain name suggestions and attractive logos to choose from. With our Free Business Name Generator, you can instantly generate dozens of creative business name ideas in just seconds. Our AI algorithm analyzes your business type, keywords, and other criteria to suggest unique, memorable names that are available for registration. Whether you need a catchy name for your startup, small business, or side hustle, our tool provides an endless supply of options to choose from, saving you hours of brainstorming. When it comes to video creating and editing, AI-powered tools can greatly simplify the process and enhance the visual appeal of your videos.</p>
</p>
<p>
Is the AI Name Generator free to use?
</p>
<p>
<p>It suggests an AI system that is highly intelligent, capable, and resourceful. A fusion of intelligence and technology, IntelliTech is a great name for an AI project that showcases the advanced capabilities of artificial intelligence. These names evoke a sense of intelligence and innovation, making them a perfect choice for your AI project.</p>
</p>
<p>
<p>Craft engaging social media posts tailored to different platforms and audience demographics. Create concise and informative summaries of any text with our AI-powered summary generator. It’s important to name your bot to make it more personal and encourage visitors to click on the chat. This, in turn, can help to create a bond between your visitor and the chatbot.</p>
</p>
<p>
<p>You can also brainstorm ideas with your friends, family members, and colleagues. This way, you’ll have a much longer list of ideas than if it was just you. There are different ways to play around with words to create catchy names.</p>
</p>
<p>
<p>By leveraging a database of linguistic patterns and tech-related terms, AI Resources offers a unique blend of names that resonate with the innovative nature of artificial intelligence. An artificial intelligence name generator is a sophisticated tool designed to create unique and innovative names using the principles of artificial intelligence (AI). These generators leverage machine learning algorithms to analyze vast datasets of names across various contexts and identify patterns, trends, and structures within them. By doing so, they can generate new names that are not only unique but also meaningful and relevant to specific requirements. This tool leverages artificial intelligence to blend the names of parents or any given inputs, producing a wide array of name suggestions that cater to both baby girls and boys. It stands out for its ability to generate names that not only sound appealing but also hold significance, potentially reflecting the combined heritage, characteristics, or stories of the parents.</p>
</p>
<p>
Creative artificial intelligence names
</p>
<p>
<p>Pose thought-provoking questions, ask for feedback, and respond to comments to show your audience that you value their input. You can also create polls and surveys to gather insights and involve your viewers in shaping the direction of your content. Engaging your audience is crucial for building a following and fostering a sense of community around your faceless YouTube channel. While you may not show your face, there are still numerous techniques you can employ to connect with your viewers and encourage interaction. As you edit your faceless video, pay attention to pacing and visual storytelling techniques to keep your audience engaged.</p>
</p>
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" 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<p>
<p>In Spring AI, the Prompt class is used to encapsulate this input, making it easier to manage and manipulate. At the top of the screen is a meter measuring your ranking on Hayden’s trust meter. The company explains this gamification tactic aims to increase engagement on the platform. Holywater believes My Drama stands out among the increasingly crowded market due to its robust library of IP.</p>
</p>
<p>
<p>Add keywords related to your business or product, and consider providing a one-sentence description to guide the AI. You can also choose to ‘Check domains’ to see if your desired name is available as a web domain. Namelix AI, a powerful AI tool, simplifies this process by generating unique, brandable business names and even suggesting simple logos. Let’s dive in and see how Namelix can help you find the perfect name for your business. Let&#8217;s dive in and see how Namelix can help you find the perfect name for your business. I hope this list of 133+ best AI names for businesses and bots in 2023 helps you come up with some creative ideas for your own AI-related project.</p>
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<p>
<p>Don’t rush the decision, it’s better to spend some extra time to find the perfect one than to have to redo the process in a few months. You most likely built your customer persona in the earlier stages of your business. If not, it’s time to do so and keep in close by when you’re naming your chatbot.</p>
</p>
<p>
<p>This will show transparency of your company, and you will ensure that you’re not accidentally deceiving your customers. Generator Fun combines these key features to offer a comprehensive and engaging tool that meets the needs of anyone looking to name their AI creations with originality and style. Generate on-brand social media captions, hashtags, and post ideas instantly.</p>
</p>
<p>
<p>No more spending hours brainstorming or paying a professional &#8211; just enter a few details and get a custom list of names tailored to your business. The name generator handles the hard work so you can quickly find a business name that resonates with your brand. These unique AI names represent the cutting-edge technology and intelligent capabilities of your project or chatbot. When choosing a name, consider the branding and messaging that you want to convey to your users. Ultimately, the right name will help your AI project stand out and make a lasting impression. If you are looking for a cutting-edge and futuristic AI name for your project or chatbot, look no further.</p>
</p>
<p>
<p>Additionally, these tools can help overcome creative blocks by presenting options that users might not have considered. They also ensure that the generated names are unique and tailored to the specific needs of the project, whether it’s for branding, storytelling, or any other purpose requiring a distinctive name. AI Resources serves as a creative companion for generating names that capture the essence of artificial intelligence. It operates by combining linguistic elements and industry-specific jargon to produce a wide array of name suggestions.</p>
</p>
<p>
<p>It curates meaningful domain name suggestions for your brand, such as and These are futuristic and cheap domain names, unlike traditional domain extensions with long and forgettable domain names. Look through the types of names in this article and pick the right one for your business. Every company is different and has a different target audience, so make sure your bot matches your brand and what you stand for.</p>
</p>
<p>

How do companies decide what to name AI tools? &#8211; Marketplace
<p>How do companies decide what to name AI tools?.</p>
<p>Posted: Wed, 20 Sep 2023 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiigFBVV95cUxOQlllSk5GV3g2TVUzOVpzX2t5eFRKUGdDMGNkUjdfZ3lCeHpnNzU0eWNJY2M4SHB3YzF3RzJCU3RKTkx0QW14UnNrdWFyLWxYM3V4c2s3am0xMlFkcGlPZ0dUZXBHZWlxMDgtLWt1bE1NWEFPSHRvQXhjZVh4M19iQkZxNWd0aVVsZWc?oc=5'>source</a>]</p>

<p>
<p>Nick and Name Generator is a artificial intelligence name generator that serves as a versatile tool that simplifies the process of finding the perfect name for a variety of contexts. By inputting specific criteria or preferences, users can generate names that align with their needs, whether for fictional characters, gaming avatars, or even new identities for social media. The generator is designed to produce names that are not only unique but also resonate with the user’s intended purpose, be it for storytelling, online gaming, or personal branding.</p>
</p>
<p>
<p>Yes, AI Name Generators are incredibly flexible and can create names for virtually any industry or genre. Whether you’re looking for a futuristic name for a tech startup, a whimsical name for a fantasy novel character, or a professional name for a new business venture, these tools can cater to your needs. You can use an AI business name generator to find techy, unique, innovative, and memorable brand names that can make your AI startup stand out and make a mark among its competitors. This AI business name generator tries to understand the essence of what the user is searching for and accordingly suggests names that are meaningful and usable. It also offers domain name availability, social media handle availability, and a free logo to get you started. Our intelligent AI algorithm analyzes your business type, target customers, and keywords to instantly generate hundreds of relevant, catchy business name ideas in seconds.</p>
</p>
<p>
<p>Meanwhile, the Generative Names tool uses an algorithm to create thousands of non-existent names, perfect for that fantasy novel or sci-fi screenplay you’re writing. Our First Name Generator will list out thousands of names and let you know from where they came. If not, you’ve landed in the right place, as you are now visiting Name Generator! This page hosts various free browser-based tools to get the creative juices flowing and turn a name into something else entirely or create new names for things you would never have thought of before. Overall, NameLix AI simplifies the complex and often daunting task of naming, making it easier for individuals and businesses to establish a unique and compelling brand presence in the market.</p>
</p>
<p>
<p>To get started with AI-assisted scriptwriting, provide the tool with a clear prompt that outlines your video&#8217;s topic, tone, and key points. The AI will then generate a draft script, which you can refine and edit to ensure it aligns with your vision and brand voice. When working with AI-generated scripts, it&#8217;s crucial to maintain authenticity and inject your unique perspective into the content.</p>
</p>
<p>

Easily access all your favorite gaming platforms with Acer Game Space, a custom app designed for simple navigation.
AI Nexus is an artificial intelligence platform designed to connect and integrate various AI systems, allowing for seamless collaboration and knowledge-sharing.
Keep up with emerging trends in customer service and learn from top industry experts.
It also sets teams up to learn and share the most helpful and creative AI use cases for their roles and functions.
Create well-structured and purposeful meeting agendas with our AI-powered generator.

<p>
<p>They subtly suggest the capabilities of your AI, making them excellent options to consider. Another way to engage your audience is by leveraging social media platforms to extend your reach and foster a sense of community. Share behind-the-scenes glimpses, teasers, and exclusive content on platforms like Twitter, Instagram, and Facebook to keep your audience excited and invested in your channel. Regularly interact with your followers, respond to their messages, and repost user-generated content to strengthen the bond between you and your audience.</p>
</p>
<p>
<p>Now, you can experience the power of innovative branding with Namify&#8217;s exceptional name suggestion capabilities, meticulously designed to elevate your business identity in the digital realm. Some examples <a href="https://play.google.com/store/apps/datasafety?id=pl.edu.pg.chatpg&amp;hl=cs&amp;gl=US">Chat GPT</a> of excellent artificial intelligence names are “Apex”, “Cogni”, “Lumos”, “Sentinel”, and “Vox”. These names convey a strong sense of intelligence, advanced technology, and sophistication.</p>
</p>
<p>
<p>Use community posts, polls, and live streams to further engage with your viewers and create a sense of belonging. You can foun additiona information about <a href="https://scienceprog.com/metadialog-addressing-customer-service-challenges-through-ai-powered-support-solutions/">ai customer service</a> and artificial intelligence and NLP. By actively nurturing a loyal and engaged community, you&#8217;ll not only gain valuable insights into your <a href="https://www.metadialog.com/blog/cute-chatbot-name/">what to name my ai</a> audience&#8217;s preferences but also create a support system that can help propel your channel to new heights. Choosing to start a faceless YouTube channel offers several compelling advantages for content creators.</p></p>
]]></content:encoded>
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		<title>Gupshup launches in Saudi Arabia to bring advanced conversational AI solutions to the Kingdom</title>
		<link>http://shamaco.ir/gupshup-launches-in-saudi-arabia-to-bring-advanced/</link>
		<comments>http://shamaco.ir/gupshup-launches-in-saudi-arabia-to-bring-advanced/#comments</comments>
		<pubDate>Wed, 11 Dec 2024 09:55:42 +0000</pubDate>
		<dc:creator><![CDATA[shamaco]]></dc:creator>
				<category><![CDATA[AI News]]></category>

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		<description><![CDATA[What Is Conversational Marketing? More access to the whole platform allows more personalized services that a business would like to see integrated with its own CRM tool, Jones offered. Through movement of people, through the addition of omni-channel and through the diligent, careful application of AI bots and automation, I think we can deal with [&#8230;]]]></description>
				<content:encoded><![CDATA[<p>
What Is Conversational Marketing?
</p>
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" 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<p>
<p>More access to the whole platform allows more personalized services that a business would like to see integrated with its own CRM tool, Jones offered. Through movement of people, through the addition of omni-channel and through the diligent, careful application of AI bots and automation, I think we can deal with the surge in traffic, deal with the flexibility, and also build better customer experiences. 60-70% of the time, the moment where you create a ticket is the moment of failure of the self-service system.</p>
</p>
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<p>
<p>The company aims to redefine how businesses use generative AI-powered chat and voice platforms at scale, Rasa said in a Wednesday (Feb. 14)&nbsp;press release. However, brands should be aware that it can be difficult to gauge which conversational commerce methods have the highest success rates. “This is a problem of ‘attribution’ where <a href="https://chat.openai.com/">ChatGPT</a> a brand incorrectly concludes that the chatbot is leading to higher conversions or that it is directly responsible for capturing a sale when, in fact, there is no incremental lift as a result of the chatbot,” Voda said. Customers can receive recommendations that match their tastes and preferences through conversational commerce.</p>
</p>
<p>
<p>Virtual agents would guide the process with step-by-step instructions and send images to the user’s phone for additional support. With its entry into Saudi Arabia, Gupshup aims to replicate this success, empowering local brands to innovate, grow, and succeed through conversational AI, and help drive digital transformation in line with the Kingdom’s Vision 2030 objectives. The new AI features are designed to help companies further automate engagement and provide real-time insights that enable them to better meet customer needs, Crowley said. Today, we run everything under one platform, centralized to provide the best consistent, quality experiences to all our customers on any channel they prefer. Zendesk has added sophisticated conversational AI features to its CRM solutions, enabling companies to automate customer interactions on Facebook Messenger and WhatsApp. Her company has also taken a very conservative approach to how it banned or bound the generative AI large language models to ensure its use does not expose risk to clients.</p>
</p>
<p>
<p>Customers, including municipal governments and visitor bureaus, pay for a subscription and can integrate the product into any website or social media channels. Implementing AI technology can provide immediate answers to many customer questions, which can extend the capacity of your customer service team, reduce wait times, and improve customer satisfaction. As opposed to rule-based chatbots, AI-powered chatbots don’t rely solely on your pre-programmed scripts. Instead, AI chatbots improve customer satisfaction, thanks to their advanced conversational AI technology. The biggest difference between the two types of chatbots is the technology they use to respond to customer requests, which affects the complexity of the tasks they can accomplish.</p>
</p>
<p>
<p>Traditional document extraction technologies involve time-consuming and cumbersome practices. They were rooted in hard copies and scanners or required training on thousands of document formats. In turn, organizations spent time training on document types rather than completing tasks, such as entering or fulfilling orders. Now, ML has entered the domain of document extraction and flipped the script, offering a tool that requires less document training and more flexibility. A good example of this is the travel industry where popular applications for booking flights can pass along information about customer intent to car rental and hotel reservation applications.</p>
</p>
<p>
ChatGPT: Both conversational AI and a chatbot
</p>
<p>
<p>Text To Shop leverages text messages as a quick and easy channel for customers to find what they need and order it, or re-order things that they buy often, schedule delivery or pickup, and do the checkout process. The virtual thrift shop Mercari released a ChatGPT-powered bot that helps customers quickly find what they need. If not sure, it responds with clarifying questions first, and then finds the most accurate recommendations based on what you requested. In the early days of ecommerce, all consumers could do was manually search for products with specific keywords or click through catalogs.</p>
</p>
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width="305px" /></p>
<p>
<p>This involves the use of advanced NLP and ML, allowing for interactions with digital systems to feel more personal and efficient. Businesses are increasingly recognizing the importance of CI as it transforms the customer experience, providing immediate, around-the-clock customer support through chatbots and virtual assistants. Conversational marketing tactics can help improve inbound marketing efforts in several ways. First, by providing one-on-one interaction to website visitors, it can improve customer engagement while also gathering relevant and timely data about customer preferences. Second, conversational marketing tools can qualify leads in real-time by asking customers a series of questions that will help marketers understand how close they are to making a purchase.</p>
</p>
<p>
UC Round Table: Conversational Intelligence and Analytics
</p>
<p>
<p>Retailers and organizations striving to implement enhanced automation processes to meet customer demands might find competitive business advantages in using artificial intelligence (AI) to create conversational customer experiences (CX). Cloud CRM vendor Zendesk yesterday unveiled a deeper integration with WhatsApp and other new messaging capabilities designed to support the move to more digital engagement in customer relationships. I got on a Zoom call <a href="https://www.metadialog.com/customer-engagement/">conversational customer engagement</a> with Adrian McDermott, President of Products at Zendesk, to drill into the announcements and the wider context of the rise of omni-channel conversations, as brands seek more responsive, direct engagement with consumers. Since that information was being updated almost in real time, customers could get the answers they  needed, right away. Some 65% of customer inquiries were already automated for the new Messenger customer case channel on launch.</p>
</p>
<p><img 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" 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<p>
<p>We already know that no matter how many you contract or hire, they&#8217;re already fully utilized by the time they walk in on their first day. This is really taking their expertise and being able to tune it so that they are more impactful, and then give this kind of insight and outcome-focused work and interfacing with data to more people. During the Grand Finale, the GOCC Communication Center receives thousands of queries from people wanting to support the initiative, with many coming from online touch points such as Messenger. Responding quickly to questions about volunteering and the current fundraiser status is crucial for maintaining the organization&#8217;s social trust that has been built on operational transparency over the past 30 years. Malware can be introduced into the chatbot software through various means, including unsecured networks or malicious code hidden within messages sent to the chatbot.</p>
</p>
<p>
<p>It also provides users with suggested replies, eliminating the need to type in a response. The suggested action buttons add another layer of conversational and interactive features leveraging the phone’s inbuilt functionalities like calendars, contacts, and browsers. Context mining, intelligent document extraction and conversational AI with sentiment analysis can help improve customer service. Currently, the Natural Language Processing (NLP) algorithms used by chatbots are not very accurate. This leads to chatbots not understanding human conversation, which can be frustrating for customers. Chatbots are very engaging, which means customers are more likely to stay on your website or chat with you for longer.</p>
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<p>
<p>To meet the unique requirements of the Saudi market, Gupshup offers ACE LLM, a domain-specific Generative AI model, that enables the development of highly intelligent, human-like chatbots in Arabic. Businesses continue to engage consumers via traditional channels, such as SMS, email, and IVR, but they are actively looking for more effective alternatives with higher ROI and engagement. Large and small businesses are actively experimenting with conversational platforms and witnessing tangible benefits. With rising adoption and a high preference for implementing end-to-end conversational user journeys, we expect that these interactions between customers and businesses will redefine commerce. The acquisition will expand Verint’s robust support for digital customer engagement with connections to most of the commonly used messaging channels, including Apple Business Chat, Facebook Messenger, Twitter, WhatsApp, and more.</p>
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<p>
<p>Conversational AI&nbsp;is also taking automated customer service experiences to a better place,&nbsp;Andrei Papancea, co-founder and CEO of&nbsp;NLX, told PYMNTS in an interview posted in February 2022. Rasa is a startup that claims to have developed the infrastructure to give developers at large enterprises the ability to build “robust” generative conversational AI assistants so that those interactions feel more personal and meaningful to users. It says it does this by providing the infrastructure CALM (Conversational AI with Language Models) and a low-code user interface. Company officials announced Tuesday morning that they acquired Factoreal, a Bangalore, India-based omnichannel marketing automation platform. The addition will propel the local startup’s Conversational Experience Platform by combining inbound and outbound messaging capabilities. After all, with a deeper understanding of customer needs and preferences, businesses can tailor their offerings, optimize sales strategies, and cultivate lasting customer relationships.</p>
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<p>
<p>We wanted to build a conversational AI (Artificial Intelligence) assistant integrated in Messenger to provide an ‘always-on&#8217; option for customers to get quick answers to simple queries. At the same time, we wanted that conversational assistant to be consistent in tone and style with the overall brand. One company that says its customer service team needed advanced tech to cope with the resulting influx of e-commerce orders, customer questions and service requests is the UK division of French multinational, Decathlon. It had to cope with, among other things, a 4.5x increase in in-bound Facebook Messenger requests in just the March to May 2020 period alone. Increasing appetite for automation in contact centres is driving significant demand for new tech to step in. And with AI and machine learning being all over the place, it was a matter of time before customer service catch up.</p>
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<p>

8&#215;8 Extends AI-Powered 8&#215;8 Intelligent Customer Assistant for Enhanced Voice and Digital Customer Engagement &#8211; Business Wire
<p>8&#215;8 Extends AI-Powered 8&#215;8 Intelligent Customer Assistant for Enhanced Voice and Digital Customer Engagement.</p>
<p>Posted: Thu, 17 Oct 2024 13:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMi-AFBVV95cUxNN011dmlOa1k2eEVOWnRzTVd5aFR1ZExEVjVCWmRvaE5ocXFod1dfV1N4MG81U2lrRHZiU0s1VnNURlNlNEp6el8wRkZDaUVKRm9oZEtlcnIyZG5qZ0RzNHFNMVluYkxXU3BzVFlVVVBpLTlmcFdfQkY4ckZhaVAwTGVYZk5PdGtsNkxfMXk5b21WTUYwSmNUNlVsUURsSzZUT3BSR0hUZ00xRWhrTkt2X0p0ZHBDU0lJQTNYWGluTWhSNDZCdlU0RUcwcnlSWEl6T0hYeUhLZUExMDdzNjlHV2NfcXJ2Qmx0dWo0X19OemVKX0NQV3pqZw?oc=5'>source</a>]</p>

<p>
<p>For example, many banks use AI-powered chatbots to help answer customer questions, provide account information and assist with transactions. The term &#8220;conversational marketing&#8221; was coined by Drift, a popular marketing and sales platform, in 2010, and is used widely throughout the digital marketing industry today. Conversational commerce can make it easier for customers to find and select products and services.</p>
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<p>
Analyze customer feedback.
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<p>
<p>This article will examine the role conversational intelligence plays in reshaping the customer experience, and its impact on customer satisfaction and loyalty. Conversational intelligence is rapidly becoming a cornerstone technology for businesses seeking to deliver exceptional customer experiences. By seamlessly blending advanced NLP, ML, and AI, CI enables highly personalized, context-aware interactions that mimic human conversation. As the technology continues to evolve, CI will unlock new frontiers in customer engagement, providing not just responsive service, but intuitive experiences that are tailored to each customer&#8217;s needs and preferences. For customer-facing businesses, investing in CI represents a strategic imperative to drive customer satisfaction, build loyalty and gain a sustained competitive edge. Using conversational AI, enterprises deploying conversational marketing effectively learn quickly about their customers’ online habits and preferences and can serve up messaging and content they are likely to engage with.</p>
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<p>

The time is now to shift to privacy-safe real world data for healthcare marketing, driving higher audience quality and script lift.
Strong conversational marketing strategies help enterprises improve their marketing campaigns and overall user experiences by anticipating customer needs and expectations as soon as the customer has made contact.
You&#8217;re going to need to embrace automation, embrace omni-channel and embrace self service.
Knowing someone&#8217;s a new customer versus a returning customer, knowing someone is coming in because they&#8217;ve had a number of different issues or questions or concerns versus just coming in for upsell or additive opportunities.

<p>
<p>In an era where consumers are bombarded with impersonal advertising, the approach offers a refreshing alternative—shifting from disruptive marketing tactics to dialogue-driven interactions that resonate with contemporary consumers. So that again, they&#8217;re helping improve the pace of business, improve the quality of their employees&#8217; lives and their consumers&#8217; lives. Instead of feeling like they are almost triaging and trying to figure out even where to spend their energy. And this is always happening through generative AI because it is that conversational interface that you have, whether you&#8217;re pulling up data or actions of any sort that you want to automate or personalized dashboards. The AI powered chatbots can also provide a summary of the order and request confirmation from the customer.</p>
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<p>
<p>This task is hugely difficult as existing toolsets are complex to operate, not real-time focussed, and have no machine learning capabilities to support advanced analysis. Some early versions of AI tools, like chatbots and IVR, were considered clunky and unreliable. However, evolutions in AI algorithms, natural language processing, and conversational AI are beginning to change the market. Intelligent document extraction with tools like robotic process automation can enter sales orders without human intervention, which enables customer service agents to spend more time building relationships with customers.</p>
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<p>
<p>Because customers are more satisfied with the whole experience, it may increase their customer lifetime value (CLV) and likelihood of making another purchase. Ball argued that NLP-equipped conversational tools are pivotal for organisations aiming to improve service efficiency and strengthen their bottom line. “Chatbots equipped with NLP and Natural Language Understanding (NLU) can understand language more effectively, allowing them to engage in more natural conversations with individuals,” Ball explained.</p>
</p>
<p>
<p>Sentiment analysis via AI aids in understanding customer emotions toward the brand by analyzing feedback across various platforms, allowing businesses to address issues and reinforce positive aspects quickly. Ball added that NLP also powers deeper customer segmentation and sentiment analysis, offering insights into customer loyalty and potential value from past interactions. “This analysis helps agents tailor conversations to meet customers exactly where they are in their journey, refining service offerings based on previous enquiries,” Ball said. Also, conversational intelligence could enhance emerging technologies – like augmented reality and visual assistants – and their ability to strengthen real-time customer engagement. Using AI to remove mundane contact center tasks allows agents to focus on up-skilling their capabilities, empowering them to tackle increasingly complex issues and ultimately providing better customer experiences and outcomes. SleekFlow is built on a multi-tier SaaS business model with an optional add-on for customers who want to also set up and run a WhatsApp Business messaging channel.</p>
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<p>
<p>You can foun additiona information about <a href="https://alltechmagazine.com/how/metadialog-generative-ai-improves-email-support/">ai customer service</a> and artificial intelligence and NLP. Freshworks earlier this month announced that it has infused more conversational AI features into its offerings. “The technology has evolved so quickly that in many cases, we can leverage voices of the computer side of that conversation, which are even deepfake of agent voices and things like that. In many cases, it is difficult to tell that you are communicating with a computer rather than a real person,” said Jones. “I think it’s essential for leaders to understand all the latest advancements in AI and ensure that they’re staying ahead of the curve and understanding the implications for their industry or their business operations,” Jones told CRM Buyer.</p>
</p>
<p>
<p>For example, by analyzing historical sales data, customer behavior and market trends, you could identify products and services most likely to appeal to customers in the future. There’s a reason generative AI has been the subject of much hype since ChatGPT’s November 2022 launch. But it’s not really new; customer service chatbots as well as voice assistants like Siri and Alexa have been using similar technology for some time. Most businesses today face conflicting demands of both delivering superior customer service and reducing costs. In this context, a deeper and comprehensive insight into the “Voice of Customer” based on 100% of the customer interactions becomes a prerequisite. However, until now getting this deeper insight in a shorter timeframe has proven to be an elusive challenge.</p>
</p>
<p>
<p>Conversational AI technology powers AI chatbots, as well as AI writing tools and voice recognition technologies like voice assistants and smart speakers, which respond to voice commands. The conversational AI approach allows these tools to recognize user intent, follow the natural flow of a conversation, and provide unscripted answers based on the tool’s extensive knowledge database. In this guide, you’ll get a crash course in the differences and common use cases of rule-based chatbots and conversational AI-powered customer service tools.</p>
</p>
<p><img 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" width="303px" /></p>
<p>
<p>With the integration of artificial intelligence (AI), conversational marketing is undergoing a transformative shift, revolutionizing the way brands interact with their audience. Small and medium businesses (SMBs), in particular, face a series of pain points across the customer journey, including heavy reliance on offline marketing channels. This leads to limited reach for customer acquisition and challenges in establishing digital storefronts and managing payments. Conversational platforms can be a powerful solution, addressing key challenges related to discoverability, commerce, payments, and communication. Early signs of success are already evident, with 15 million SMBs using WhatsApp for Business to create digital presence and drive traffic through click-to-chat ads. Large enterprises see many benefits from using conversational platforms, such as high engagement rates and personalized interactions at scale.</p>
</p>
<p>
<p>As a result, while customer communications platforms have used AI capabilities such as machine learning and natural language processing, many communications platform as a service (CPAAS) providers have yet to fully integrate AI into their offer. Yet, with businesses and brands realizing AI can transform the customer journey, this is changing. Essentially, conversational intelligence is a sophisticated technology that uses AI to enable machines to understand, process and engage in human language naturally.</p>
</p>
<p>
<p>With their ability to support various communication channels and AI, cloud-based contact center services power new opportunities for business growth. A context mining service can automate how a business routes sales orders to process and forward requests to the appropriate department. Context mining enables customer service representatives to connect with customers who want to speak with a human, which boosts CX and can relieve high-stress situations. Although chatbots can handle many tasks, they are not yet able to completely replace human interaction. For this reason, businesses will still need to provide some form of human oversight– or human in the loop (HITL) – to ensure that customers are getting the best possible experience.</p>
</p>
<p>
<p>Some of the most notable benefits include an uptick in customer satisfaction and loyalty, increased engagement and conversion rates, and cost reduction. By generating natural language text, you can seamlessly create a range of content like product descriptions, social media posts and website copy, tailoring the tone and style of each to fit your brand&#8217;s voice and your customers&#8217; wants and needs. Traditional marketing tactics, such as cold-calling or advertising on print and media channels, have proven to be tremendously effective at raising brand or product awareness.</p>
</p>
<p>
<p>That is also the approach Rebecca Jones, general manager of Mosaicx, is taking in providing AI services to her company’s CX services. She is a strong advocate of implementing conversational AI to empower businesses to enhance and tailor CX and thereby increase competitive advantage. It puts a ton of pressure on the customer experience and customer service departments to manage all of those things.</p>
</p>
<p>

SleekFlow is operational today in Singapore, Hong Kong, Malaysia, Indonesia, Brazil, and the United Arab Emirates.
That automation can improve a business’s customer experience by delivering immediate responses to common questions.
In retail and e-commerce, for example, AI chatbots can improve customer service and loyalty through round-the-clock, multilingual support and lead generation.
The event provided insights into how companies are utilizing these platforms to quickly identify opportunities and deliver ROI in customer service for both customers and agents.

<p>
<p>When customers have a positive experience with your brand, they are more likely to be loyal and recommend you to others. Conversational AI can help improve customer satisfaction by providing a more engaging and personalized experience. With chatbots, customers can get the help they need quickly and easily without waiting on hold or navigating through a complex website. Make your content accessible in different regions and markets by removing language barriers.</p>
</p>
<p>
<p>Because it still feels like a big project that&#8217;ll take a long time and take a lot of money. And that&#8217;s where I think conversational AI with all of these other CX purpose-built AI models really do work in tandem to make a better experience because it is more than just a very elegant and personalized answer. It&#8217;s one that also gets me to the resolution or the outcome that I&#8217;m looking for to begin with. That&#8217;s where I feel like conversational AI has fallen down in the past because without understanding that intent and that intended and best outcome, it&#8217;s very hard to build towards that optimal trajectory. Since founding Gupshup in 2004, Sheth has led the company through significant challenges, including market downturns and product pivots, transforming it into a leading Conversational Cloud platform. Sheth has scaled Gupshup to handle over 10 billion messages per month for 45,000+ customers and generate $250 million+ in revenue.</p>
</p>
<p>

Speak Volumes With AI and Conversational Intelligence for Better CX &#8211; CMSWire
<p>Speak Volumes With AI and Conversational Intelligence for Better CX.</p>
<p>Posted: Wed, 27 Mar 2024 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMitAFBVV95cUxOTWpyWGpUdktZU2RJckFaMmVVUkZEV1Q4RGpSQjI2S1ZiTGtLemREQ1BLTU1tM183VjdFQVNfZDgxX3d3VXRja3dnaHdxRlFZT2FRd2x3bVNyMGNWYWx0OEhGYmttQmVYSmJ6MG1UWmc5ZnkzVHEzN1lSbmVpYTd4b0VtN1JfYXZCeDkxdXlqX3JaY05OUllhUDY0WThXV0xVbzdyZS1jR0JTMExPQlZnb1JpMlQ?oc=5'>source</a>]</p>

<p>
<p>Conversational AI systems use natural language processing (NLP), deep learning, and machine learning to understand human inputs and provide human-like responses. As CI continues to evolve, it’s transforming the way businesses interact with their customers, offering unprecedented levels of personalization and efficiency in customer service. The  integration of CI technologies enables <a href="https://play.google.com/store/apps/datasafety?id=pl.edu.pg.chatpg&amp;hl=cs&amp;gl=US">ChatGPT App</a> businesses to provide answers to customer inquiries in real time, automate customer service tasks, and offer a 24/7 support presence — factors that significantly enhance customer satisfaction and loyalty. It can analyze extensive data from customer interactions to tailor responses and services to individual preferences, thereby deepening customer engagement and loyalty.</p>
</p>
<p>
<p>However, Google is yet to centralize all this within a customer journey orchestration solution and/or framework, potentially limiting its customers’ capacity to turn that vision into a reality. The GenAI capability to monitor intent, the omnichannel design, and the capacity for multimodal experiences Google offers will allow customers to work towards this vision. “Our platform allows you to mix and match these approaches in conversations with customers,” confirmed Kurian. If you call a telephone company to trade in your phone, they can send a chat request asking you to upload an image of the phone. From that image, the system can identify that the screen is cracked and then provide a relevant trade-in offer via voice… This is possible because our Gemini models are multimodal. “Companies are prioritizing efficiency over growth in a challenging economy, and conversational AI makes work easier, faster and more productive and delightful,’’ Colin Crowley, CX advisor at Freshworks, told VentureBeat.</p>
</p>
<p>
<p>These can include basic chatbots, which provide predefined responses or links to articles. They might also include AI chatbots, which use large language models (LLMs) and machine learning (ML) to respond to customers. Customers have wants and needs but don’t like to be inundated with giant product catalogs and fancy sales terminology. This broad term includes technologies, such as artificial intelligence (AI) chatbots, voice assistants, and CRM software used to engage with customers.</p>
</p>
<p>
<p>While the rise of AI has led to some concerns among human agents, many workers see AI as a valuable tool for their roles. One Salesforce study found 82% of business leaders believe generative AI will lower costs, and 80% say it will increase revenue. Around 54% of employees also said they look at generative and conversational AI as resources for developing new skills. As generative AI continues to evolve, assistants can support customers with paying bills, accessing product information, and more. Plus, they can help streamline the path to human assistance by directing queries effectively to agents. Conversational AI is a broad concept referring to the AI algorithms which allow machines and humans to communicate in a “natural” format.</p>
</p>
<p>
<p>Just think of the super bowl spot you we’re chuckling about days after the big game, or the catchy jingle you heard on the radio and couldn’t get out of your head. For one, it can be a waste of time and resources to target consumers that have no need or interest in your product and because of the limitations of traditional marketing channels, there is simply no way to correct this. Founded in 2016, Rasa started out as an open source platform for developers to build chatbots, voice apps and other services that employ conversational AI for interactivity. Since then, Rasa has been downloaded by developers more than 50 million times, the company claims.</p></p>
]]></content:encoded>
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		<title>Emerging Digital Customer Care Landscape at Telcos</title>
		<link>http://shamaco.ir/emerging-digital-customer-care-landscape-at-telcos/</link>
		<comments>http://shamaco.ir/emerging-digital-customer-care-landscape-at-telcos/#comments</comments>
		<pubDate>Wed, 30 Oct 2024 15:54:53 +0000</pubDate>
		<dc:creator><![CDATA[shamaco]]></dc:creator>
				<category><![CDATA[AI News]]></category>

		<guid isPermaLink="false">http://shamaco.ir/?p=3523</guid>
		<description><![CDATA[How AI Is Personalizing Customer Service Experiences Across Industries NVIDIA Blog A recent study has revealed that the majority of customers do not want companies to use AI in their customer service offerings. Samsung achieved best-in-class rankings for refrigerators7 and washing machines, and leads in appliances with top scores for service experience, ease of arranging [&#8230;]]]></description>
				<content:encoded><![CDATA[<p>
How AI Is Personalizing Customer Service Experiences Across Industries NVIDIA Blog
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" 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<p>A recent study has revealed that the majority of customers do not want companies to use AI in their customer service offerings. Samsung achieved best-in-class rankings for refrigerators7 and washing machines, and leads in appliances with top scores for service experience, ease of arranging service, technician courtesy, helpfulness and timely repairs. These top rankings reflect the confidence consumers place in Samsung’s AI-enabled products to enhance and simplify their lives. If you are getting customer service right at your place of business, you will get the most benefit from the ranking factors because the ratings and sentiment you receive will be largely positive.</p>
</p>
<p><img 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" 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<p>According to the study, 30% of all customers will act on a well-crafted review request. You already know that both review count and ratings are contributing to these brands’ dominance in Google’s Packs and Maps. Teams can also automatically categorize sentiment in incoming messages to easily filter the inbox by Message Sentiment and quickly craft the best response to high-priority messages. &#8220;A lot of new, big things are coming,&#8221; Eilam said, adding that NICE planned to announce new products at its upcoming Interactions Customer Conference 2024 in June. Many existing customers are adding Enlighten AI to their portfolios, and NICE is attracting new customers with its AI capabilities. Join HR Exchange Network today and interact with a vibrant network of professionals, keeping up to date with the industry by accessing our wealth of articles, videos, live conferences and more.</p>
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<p>It analyzes users&#8217; pains and gains, compares them against your offer, and helps identify opportunities for improvement. In practice, organizing workshops  with customer-related workers would be the perfect venue to prepare a VPC. There are many methods of creating personas, as well as many available templates to aid you in visualizing your typical or target users, such as Hubspot Generator.</p>
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Heavy Industry &#038; Manufacturing
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<p>Follow him for fresh insights on mastering complex organizational changes and fostering innovative corporate cultures. Satisfied customers are the cornerstone of a positive customer experience,  as their loyalty <a href="https://chat.openai.com/">ChatGPT</a> and &#8230; [+] feedback directly shape and enhance the value of your brand during any transformation. Personalized customer interactions can go a long way in exceeding customer expectations during transformation.</p>
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<p>A persona is a fictional, yet realistic, description of a typical or target user of the product. It&#8217;s an anchor point for decisions and actions related to the customer experience (e.g., informing design decisions, recruiting participants for research studies, guiding expert reviews, or segmenting analytics data). This has proven transformative for some of BCG’s clients in the financial sector, like banks, where sensitive account holder data can make customers wary of engaging with automated customer service offerings. The success is so evident that those same banking clients have started using the same technology to go after new business. Increased service-to-sales powered by Deep Customer Engagement AI, which nudges the salesperson for any contextually relevant sales opportunities, have helped those clients convert 28 percent more of initial interactions.</p>
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<p>Still, Google has pledged to make such a feature available on its Google Contact Center AI Platform soon. Because they leverage speech-to-text to create a transcript from the customer’s audio. It then passes through a translation engine to pass a written text translation through to the agent desktop. Some may even share insight on how that sentiment has changed over time so contact centers can decipher – across intents – what is driving positive or negative emotions. Nevertheless, transferring that knowledge into specific, measurable, and fair quality assurance (QA) scorecard criteria is easier said than done, not to mention time-consuming. As generative AI monitors customer intent, many vendors have built dashboards that track the primary reasons customers contact the business and categorize them.</p>
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You are unable to access customerthink.com
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<p>This increases customer satisfaction while freeing up agents to handle more complex queries that need personal attention. AI-driven topic clustering and aspect-based sentiment analysis give you granular insights into business or product areas that need improvement by surfacing common themes in customer complaints and queries. This includes insights on customer demographics and emerging trends—key to guiding your customer care strategy. The capacity for data and in-depth analysis is what sets AI customer experience apart from other approaches.</p>
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<p>The above metrics present specific KPIs linked to both quantitative and qualitative data. By tracking them, you can measure the ROI of your CX company and then assess whether or not there is any further room for improvement. Each task in the backlog will have its own definition of done, meaning it would have to meet unique criteria proving that it’s ready for launch. However, apart from considering tasks completed, you should be able to present data or evidence that your efforts bring positive results.</p>
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<p>Many companies still use manual processes for customer-service and -experience tasks. Historically, those tasks have been too complex to monitor and, consequently, difficult to automate, NICE CEO Barak Eilam told Business Insider. He added that many organizations still invested more in labor than in technology. Today, this strategy is visible in the My Disney Experience tool, which places the control in the hands of the customer to create their dream Disney trip. Keeping in mind a customer-centric omnichannel strategy, Disney considers each interaction that a child might have with the brand when positioning their messaging.</p>
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<p>

2024 U.S. Wireless Customer Care Study—Volume 2 &#8211; J.D. Power
<p>2024 U.S. Wireless Customer Care Study—Volume 2.</p>
<p>Posted: Thu, 01 Aug 2024 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMimAFBVV95cUxOUEk2ekdkZzZhY3VBUC1Oelp5ZXh6cmpuaEVicDBiYlR1eWtJeEY1bWh2VjhmNE5yeE9vNTYxNXRKeHBxdTFvUUJZTjVnSzlYRDltX3M5S0oyRFB0SWJZTVJwNXNtYjYyVFBzTW5nTUk0cThweW43TjJRYkxESHduWHhIQklCcG9xNldnNngxSnJxUWVoeWFKZw?oc=5'>source</a>]</p>

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<p>His annual research study on the state of customer service and CX is cited in hundreds of articles and publications and is used as a go-to resource by industry leaders worldwide. In addition to improving&nbsp;customer satisfaction, self-service tools can lead to a reduction in support costs. They handle routine inquiries and issues that would otherwise require human intervention, allowing customer support teams to focus on more complex and high-priority tasks. This can lead to more efficient use of resources and potentially higher levels of staff satisfaction, as team members are able to engage in more challenging and rewarding work.</p>
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<p>Retail customer experience (retail CX) is the act of providing customers with excellent service during shopping and buying opportunities through in-store or digital e-commerce channels. Infosys, a leader in next-generation digital services and consulting, has built AI-driven solutions to help its telco partners overcome customer service challenges. Using NVIDIA NIM microservices and RAG, Infosys developed an AI chatbot to support network troubleshooting. According to McKinsey, over 80% of customer care executives are already investing in AI or planning to do so soon.</p>
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<p>Using this approach, companies and government agencies no longer would need to bucket users into groups or categories to most effectively serve them and deliver the solutions they are most interested in. AI systems are able to analyze individual customer data and then provide recommended and personalized products or tailored services based on those individual customer needs and behaviors. These AI systems can use past and current behavior, preferences, engagement activity, and use that to spot patterns or trends that might suggest different products or services, or further customize those offerings. A strong retail CX strategy should create positive experiences for most customers.</p>
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<p>The RAG-enabled chatbot powered by NeMo Retriever also attained 92% accuracy, compared with the baseline model’s 85%. Offering experiences without an adequate filter of human judgement and validation also creates risk. “Humans need to assess whether an experience or offer is intuitive and makes sense in terms of how a human would connect with it. AI might generate the wrong answer with commercial and reputational repercussions,” says Helen Bentley, EY Global Digital Strategy, Innovation and Experience Leader. Human imperfection will be the foil to seamless experiences delivered predictively and autonomously. Avoiding Uncanny Valleys, building trust and optimizing for human experience will be essential.</p>
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<p>Yet, the technology cannot ensure experience is relevant to each customer, and there may be aspects of the customer that cannot be fully understood or anticipated by a machine. Companies will have to go beyond technology to create customer experiences that truly resonate. It’s no secret that customers reward organizations that provide exceptional experiences. Customers are 3.8 times more likely to make return purchases after a successful experience than after an unsuccessful one.1&nbsp;With customer acquisition costs up 60%2, experience-driven loyalty yields a significant financial advantage. Companies able to deliver leading customer experiences enjoy a significant competitive advantage. With compelling experiences, companies can stand out amid the noise and generic content of crowded channels, redefining and transforming their customer relationships.</p>
</p>
<p><img 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<p>Increasingly, you’re going to start to see a lot more of those AI-enabled features making their way into your everyday products, whether or not you want to use them. These AI powered chatbots and virtual assistants enhance the quality and value that you&#8217;re getting with many products, especially as user interfaces may not be intuitive. While AI can handle many routine tasks and streamline service delivery, it is not a replacement for human agents. In fact, AI <a href="https://www.metadialog.com/blog/what-is-customer-service-experience/">customer care experience</a> works best when used in conjunction with human support, acting as a co-pilot that helps agents focus on more complex or emotionally charged interactions. AI’s ability to automate tasks and integrate with data systems is essential for creating a truly proactive customer service experience. Businesses that successfully implement AI-powered service are able to leverage automation and data integration to improve efficiency, accuracy, and customer satisfaction.</p>
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<p>Generative AI solutions can now automate this process, shaving seconds from every contact center conversation and – therefore – saving the service operation significant resources. When a service agent ends a customer interaction, they must complete post-call processing. That typically involves uploading a contact summary and disposition code to the CRM system. That final part is crucial, keeping a human in the loop to lower the risk of responding with incorrect information and protecting service teams from GenAI hallucinations. You can foun additiona information about <a href="https://www.downloadsource.net/how-to-use-metadialog-ai-in-fintech-to-optimize-your-cx/n/23524/">ai customer service</a> and artificial intelligence and NLP. In the competitive retail sector, customer experience has become a pivotal factor. Of those surveyed, 88 percent admitted to having “major concerns” about AI, while 64 percent stated that they would prefer companies to not use AI for customer service.</p>
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<p>Doing so prior would be based on your assumptions or high-level targets, such as &#8220;improvement of the customer experience&#8221; or &#8220;achieving a 4,5 google rating&#8221;. Once the research part is concluded, you can actually make data-driven decisions. Once you have defined personas, you can evaluate if the current offer actually matches them. To do so, you can use value proposition canvas (VPC), a framework that further aligns your product with customer expectations. Visually, it’s a graph built out of a square (which represents the value proposition) and a circle (the customer segment).</p>
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View All Heavy Industry &#038; Manufacturing
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<p>In fact all three of those potential interactions are fast morphing into one interaction in the consumer&#8217;s mind. A majority of consumers, 73%, are blending online research, physical store visits and options such as buy-online and in-store pickup before making a purchase. Alongside that ability to attach a chosen LLM, some providers – like Five9 – allow customers to customize the prompt that powers the GenAI use case. Indeed, this list of generative AI use cases for customer service originally included 20 examples. While the solution is in beta, the contact center QA provider believes the results are “promising” when tested against real-life NPS data.</p>
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Service organizations must build customers’ trust in AI by ensuring their GenAI capabilities follow the best practices of service journey design.
This conference, sponsored by Forrester Research, is geared toward customer experience, marketing and digital leaders.
Recent data reveal a whopping 45% of U.S. adults find using customer service chatbots unfavorable, up from 43% in 2022.
The company connects strangers renting their properties with people looking to stay in different locations across the world.

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<p>The study also reveals that these emotions offer a more accurate prediction of a customer&#8217;s future value to a company than any other metric, even surpassing customer satisfaction. Understanding customer emotions can also help create customer resilience during times of change. Future advancements in AI will likely include better integration with back-office systems, allowing for even more seamless customer interactions. Additionally, AI will be used to proactively monitor customer accounts and reach out with solutions before issues arise, creating an entirely frictionless customer experience.</p>
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<p>Companies use this information to understand customer satisfaction and to tailor their responses, improving overall customer relations. AI predicts customer behavior, such as potential churn, by analyzing past interactions, purchase history, and engagement levels. These systems can then proactively engage at-risk customers to offer assistance and provide more personalized incentives to help retain their product usage or upsell them. Conversational assistants are now being used to create slide decks, images, and text of all sorts. Increasingly, conversational features are getting embedded directly into the tools that people are using on a daily basis, with a “magic sparkles” icon or emoji indicating where AI is powering the solution.</p>
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<p>For example, optimizing for cost savings might appear beneficial, but it could detract from delivering quality service. Focusing on the speed of transformation may seem like the right thing to do, but it could also lead to poor decision-making and negatively impact customer satisfaction. The combination of AI-driven automation and human empathy creates a powerful model for customer service that not only meets but exceeds customer expectations. As AI continues to evolve, businesses that embrace this technology will be well-positioned to deliver the kind of seamless, personalized service that modern customers demand. As AI technology continues to evolve, its ability to handle more complex tasks and anticipate customer needs will improve. In the coming years, businesses will increasingly rely on AI to manage both routine and intricate customer inquiries, providing faster, more efficient, and more personalized service.</p>
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<p>And to provide the personalized experience consumers expect, you can use AI-powered response enhancements with Sprout’s Enhance by AI Assist. Instead of brainstorming how to respond from scratch each time, you can use AI Assist to see suggestions to get you started and edit as needed. Samsung Care continuously invests in ways to give customers choices and easy options for high-quality, convenient care on their terms.</p>
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<p>The chatbot can then initiate the password reset process and guide customers through the necessary steps to create a new password. After a customer places an order, the chatbot can automatically send a confirmation message with order details, including the order number, items ordered, and estimated delivery time. Customer experience is on the cusp of a major shift in how businesses handle the customer journey. Organizational value will explode when generative AI meets your users’ experiences.</p>
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<p>The return on investment of customer service AI should be measured primarily based on efficiency gains and cost reductions. To quantify ROI, businesses can measure key indicators such as reduced response times, decreased operational costs of contact centers, improved customer satisfaction scores and revenue growth resulting from AI-enhanced services. AI-powered chatbots and virtual assistants are changing the game when it comes to customer support, offering 24/7 assistance that’s both fast and empathetic. These tools can be trained to understand the nuances of customer inquiries and respond in ways that feel human and attentive — far from the cold, robotic replies of the past. The integration of AR and VR into customer support signifies a shift toward more engaging, efficient and effective support experiences.</p>
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<p>Although 30% of consumers are unfamiliar with &#8220;AI agents,&#8221; 78% are eager to interact with them, suggesting that AI will continue to play a key role in customer service moving forward. In fact, 59% believe that customer service in the future will be improved with AI. Customers provide feedback in many different ways and through many different channels.</p>
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<p>We help you provide real-time, personalized customer care faster and more efficiently by removing manual, repetitive tasks and providing deep insights into your audience and customer service strategy. AI is enhancing customer service, helping teams offer quicker and more effective services. For example, chatbots and virtual assistants handle repetitive tasks, freeing up teams to focus on more complex and personalized interactions. One limitation of chatbots is their lack of human touch, including empathy, which may make them unsuitable for all customer interactions.</p>
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width="305px" /></p>
<p>
<p>They were more directly responsible for offering memorable experiences and providing customer support. And thanks to online metrics, specific customer feedback, and data analytics, these retailers had more information about their customers than ever before. For many reasons—building trust, including customers in decision making, and creating a belonging culture—Airbnb has great customer loyalty. The company connects strangers renting their properties with people looking to stay in different locations across the world.</p>
</p>
<p>
<p>Before mass media, it was harder to know what other products were available outside of the ones offered by the local store. Before globalization, it was more <a href="https://play.google.com/store/apps/datasafety?id=pl.edu.pg.chatpg&amp;hl=cs&amp;gl=US">ChatGPT App</a> difficult to purchase products from far-flung locations. And if something went wrong with a product that could be fixed, they would go to a local mechanic.</p>
</p>
<p>
<p>Each of these elements can contribute to a brand becoming known in a particular locale, but unless such factors are paired with excellent customer service, the business will struggle to earn local loyalty and optimum profits. Nearly 4,000 accounts responded, with the overall sentiment of their comments being that they choose to shop at their local Ace branch because of the exceptionally high quality of its customer service. Sprout Social helps you understand and reach your audience, engage your community and measure performance with the only all-in-one social media management platform built for connection. Annette Chacko is a Content Strategist at Sprout where she merges her expertise in technology with social to create content that helps businesses grow. In her free time, you&#8217;ll often find her at museums and art galleries, or chilling at home watching war movies.</p>
</p>
<p>
<p>Despite the rise of digital channels, many consumers still prefer picking up the phone for support, placing strain on call centers. As companies strive to enhance the quality of customer interactions, operational efficiency and costs remain a significant concern. Today the CMSWire community consists of over 5 million influential customer experience, customer service and&nbsp;digital experience leaders, the majority of whom are based in North America and employed by medium to large organizations. Jake Carter, chief innovation officer and partner at Credera, a global boutique consulting firm, explains that AI has immense potential to transform customer relationships — but it must be approached with care. By minimizing bias in training data, disclosing AI use to customers and keeping humans involved in critical decision points, Carter explains that businesses can build trust while driving innovation.</p>
</p>
<p>

Crossing the fine line between curation and dictation can miss the value that maintaining human agency in experience generates for both customers and the companies.
Customer support—be it one person at a small company or teams of people at multiple locations throughout the world representing a larger brand—is where “judgment day” occurs.
&#8220;A lot of new, big things are coming,&#8221; Eilam said, adding that NICE planned to announce new products at its upcoming Interactions Customer Conference 2024 in June.
After a customer places an order, the chatbot can automatically send a confirmation message with order details, including the order number, items ordered, and estimated delivery time.

<p>
<p>AI, on the other hand, can analyze a customer’s behavior and preferences to offer highly personalized solutions. In fact, consumers want and expect a personalized experience, whether on an app, on a website or in a store. Personalization programs yield up to 15% higher conversion rates and 20% higher customer satisfaction rates. The retail service skills required to work for a retailer or brand are just as robust. The list includes everything from customer service skills to leadership to time management to empathy as today&#8217;s retail worker is not just a cashier or a floor worker straightening up inventory and displays. NVIDIA NIM microservices, part of the NVIDIA AI Enterprise software platform, accelerate generative AI deployment and support various optimized AI models for seamless, scalable inference.</p>
</p>
<p>
<p>Such a plan designates common goals and provides tools together with solid, coherent standards to achieve them. It&#8217;s all that plus that very first initial brand interaction — the first time the customer steps into the store or launches a retailer&#8217;s website or taps a brand&#8217;s app to learn more about what they offer. A service team may then have a supervisor or experienced agent assess the knowledge article, edit it, and publish it in the knowledge base to keep a human in the loop. It understands customer intent, assesses how agents and supervisors have successfully handled such queries, and uses that information to develop a new knowledge article. There are many solutions for translating customer chats and messages in real time.</p>
</p>
<p>
<p>From amusing to troubling, the next example of bad customer service comes from telecoms provider Eir. Also, ensure that there’s an escalation path in place for when an answer is not in the data sets the bot can access. Yet, first, it’s best to start with low-risk or human-in-the-loop use cases, from intent mapping to auto-summarizing customer conversations.</p>
</p>
<p>

14 customer experience conferences to attend in 2024 &#8211; TechTarget
<p>14 customer experience conferences to attend in 2024.</p>
<p>Posted: Wed, 11 Sep 2024 07:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMikAFBVV95cUxQM1Y2bkFBRExSSGFmNDhWaUh4ci1BYjNDQ0ZJeUtVY3R2VEVPOVJRUWVZSVN1TXg4aEdFNXgyUmo0VVR2QVJ5Y3h6LW5aQ1FXRWNGYXl3NURxTHJrUmVSdHc3Ylg3LTRrUFQ3WHVUeUk4MXQ2TzVSNGNpQXN2d3M5MC1CblVON3RhLTl3Ml9YckQ?oc=5'>source</a>]</p>

<p>
<p>The reality we consumers don’t see, however, is that inefficiencies in the customer service pipeline are just as aggravating to companies as they are to us—sometimes more so. Companies invest heavily in online support portals and customer service specialists. When every second counts, lengthy customer inquiry resolutions—or complete failures to resolve them—often end up being more costly to the company than to the customer. To that end, Boston Consulting Group (BCG) has found that companies ignoring the value of gen AI in centralizing tasks and reengineering processes can leave up to 50 percent in efficiency and effectiveness gains on the table. Customer service social media tools enable scalable customer support on social media channels to track and resolve questions brands get through comments, mentions and DMs. For example, Sprout’s AI-powered Case Management solution looks through and combines billions of social conversations across social networks and review sites to help agents manage queries more efficiently.</p>
</p>
<p>
<p>Make sure your AI customer care tools are compatible with your CRM, ERP and other applications. Also check to see if you can enable real-time data synchronization across the tools for more accurate responses. Resolve customer issues by using AI-enabled case routing, and get additional context from their social messages and conversation history. The integration unifies all networks and profiles into a single stream, which enables quicker responses. Plus, this helps your team give better, more personal support, reducing customer frustration and meeting customers where they are, rather than starting conversations all over again.</p></p>
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