{"id":3099,"date":"2023-08-19T00:55:25","date_gmt":"2023-08-18T17:55:25","guid":{"rendered":"https:\/\/benhvienmatquangduc.vn\/?p=3099"},"modified":"2024-01-06T02:31:25","modified_gmt":"2024-01-05T19:31:25","slug":"que-es-y-que-hace-un-cientifico-de-datos-o-data","status":"publish","type":"post","link":"https:\/\/benhvienmatquangduc.vn\/?p=3099","title":{"rendered":"Qu\u00e9 es y qu\u00e9 hace un Cient\u00edfico de Datos o Data Scientist"},"content":{"rendered":"<p>La inteligencia empresarial (BI) suele ser un t\u00e9rmino general para la tecnolog\u00eda que permite la preparaci\u00f3n, la miner\u00eda, la gesti\u00f3n y la visualizaci\u00f3n de datos. Las herramientas y los procesos de inteligencia empresarial permiten a los usuarios finales identificar insights accionables a partir de datos en bruto, lo que facilita la toma de decisiones basada en datos dentro de organizaciones de diversas industrias. Si bien las herramientas de ciencia de datos se superponen en gran parte de este aspecto, la inteligencia empresarial se enfoca m\u00e1s en datos del pasado, y los insights de las herramientas de BI son de naturaleza m\u00e1s descriptiva.  Utiliza datos para comprender lo que sucedi\u00f3 antes para informar un curso de acci\u00f3n. La BI est\u00e1 orientada a datos est\u00e1ticos (que no cambian) que generalmente est\u00e1n estructurados.<\/p>\n<div style='text-align:center'><iframe width='560' height='310' src='https:\/\/www.youtube.com\/embed\/u4_U9lv4WG8' frameborder='0' alt='qu\u00e9 es cient\u00edfico de datos' allowfullscreen><\/iframe><\/div>\n<p>Adem\u00e1s, debido al aumento de la demanda de cient\u00edficos, tambi\u00e9n se han incrementado sus  salarios en los \u00faltimos a\u00f1os, pues hay una competencia muy notable en el mercado por este talento. Autostrade per l&#8217;Italia ha implementado varias soluciones de IBM para lograr una completa transformaci\u00f3n digital para mejorar la forma de supervisar y mantener su amplia gama de activos de infraestructura. Cloud computing&nbsp;escala la ciencia de datos proporcionando acceso a m\u00e1s potencia de proceso, almacenamiento y otras herramientas necesarias para proyectos de ciencia de datos.<\/p>\n<h2>D\u00f3nde pueden trabajar los cient\u00edficos de datos<\/h2>\n<p>La toma de decisiones, tanto a nivel empresarial como personal, se ha vuelto cada vez m\u00e1s compleja debido a la cantidad abrumadora de informaci\u00f3n disponible. La Ciencia de Datos utiliza t\u00e9cnicas avanzadas de an\u00e1lisis para extraer patrones, tendencias y relaciones significativas de conjuntos de datos masivos. La ciencia de datos sirve para identificar de forma masiva y r\u00e1pida todos aquellos casos en curso que podr\u00edan presentar ciertas dificultades, as\u00ed como aquellos que pueden ser m\u00e1s sencillos. Los flujos de trabajo de la ciencia de datos no siempre est\u00e1n integrados <a href=\"https:\/\/zacatecasonline.com.mx\/tendencias\/86286-bootcamp-programas-tripleten\">Bootcamp vs. curso online: por qu\u00e9 los programas de TripleTen son la mejor opci\u00f3n<\/a> en los procesos y en los sistemas de toma de decisiones empresariales, lo que dificulta que los responsables de negocio colaboren de manera inteligente con los cient\u00edficos de datos. Si no cuentan con una integraci\u00f3n mejor, a los responsables empresariales les resulta dif\u00edcil comprender por qu\u00e9 toma tanto tiempo pasar del prototipo a la producci\u00f3n, y es menos probable que respalden la inversi\u00f3n de proyectos que consideran demasiado lentos. La gesti\u00f3n eficaz del Big Data requiere el uso de tecnolog\u00edas como el procesamiento distribuido y el almacenamiento en cl\u00fasteres.<\/p>\n<ul>\n<li>El uso de tecnolog\u00edas de c\u00f3digo abierto est\u00e1 muy generalizado en los conjuntos de herramientas de ciencia de datos.<\/li>\n<li>Crea un plan de aprendizaje en el que puedas cumplir metas a corto, mediano y largo plazo.<\/li>\n<li>De modo que se puedan tomar decisiones estrat\u00e9gicas para mejorar el flujo de caja de la firma.<\/li>\n<li>Incluso antes de buscar un trabajo de nivel de entrada para ganar experiencia, puedes hacer pr\u00e1cticas que te ayuden a enriquecer tu portfolio a la hora de presentarlo anteuna empresa que est\u00e9 contratando.<\/li>\n<li>Adem\u00e1s, es \u00fatil contar con habilidades de comunicaci\u00f3n y an\u00e1lisis de datos para poder presentar tus resultados de manera clara y concisa a gente con unos conocimientos diversos.<\/li>\n<\/ul>\n<p>Las herramientas y procesos de inteligencia empresarial permiten a los usuarios finales identificar informaci\u00f3n procesable a partir de datos en bruto, lo que facilita la toma de decisiones basadas en datos en organizaciones de distintos sectores. Si bien las herramientas de ciencia de datos coinciden en gran parte con esta descripci\u00f3n, la inteligencia empresarial se centra m\u00e1s en datos del pasado, y la informaci\u00f3n de valor de las herramientas de BI es de car\u00e1cter m\u00e1s descriptivo. Utiliza datos para comprender lo que ha sucedido antes para conformar un procedimiento que seguir.<\/p>\n<h2>La ciencia de datos en las empresas m\u00e1s grandes<\/h2>\n<p>Descubra por qu\u00e9 SAS es la plataforma anal\u00edtica m\u00e1s confiable del mundo y por qu\u00e9 los analistas, clientes y expertos del sector aman SAS. Autostrade per l&#8217;Italia implement\u00f3 varias soluciones de IBM para lograr una completa transformaci\u00f3n digital para mejorar la forma de supervisar y mantener su amplia gama de activos de infraestructura. Mediante el an\u00e1lisis de patrones de comportamiento y anomal\u00edas en grandes conjuntos de datos, se pueden identificar y abordar potenciales riesgos de seguridad de manera m\u00e1s eficaz. En el \u00e1mbito cient\u00edfico, una de las razones por las que la Ciencia de Datos es importante radica en que ha revolucionado la forma en que se abordan los problemas y se realizan investigaciones. Si te interesa el estudio de informaci\u00f3n significativa para una empresa, tal vez la Ciencia de Datos sea la disciplina ideal para ti. Gracias a una escuela de posgrado, podr\u00e1s estudiar esta especialidad sin inconvenientes.<\/p>\n<p>Ser\u00e1s el responsable de encontrar y extraer tendencias a partir de grandes conjuntos de datos usando, por ejemplo, algoritmos de inteligencia artificial. Debido a que el acceso a los datos lo debe otorgar un administrador de TI los cient\u00edficos de datos a menudo deben esperar demasiado los datos y los recursos que necesitan para analizarlos. Una vez que se obtiene acceso, el equipo de ciencia de datos podr\u00eda analizar los datos a trav\u00e9s de varias herramientas posiblemente incompatibles. Por ejemplo, un cient\u00edfico podr\u00eda desarrollar un modelo utilizando el lenguaje R, pero la aplicaci\u00f3n en la que se usar\u00e1 est\u00e1 escrita en un lenguaje distinto.<\/p>\n<h2>M\u00e1s art\u00edculos relacionados<\/h2>\n<p>En el sector salud, por ejemplo, el cient\u00edfico puede trabajar con reconocimiento de im\u00e1genes. Puede ser la clave para determinar si una imagen de ultrasonido es un tumor canceroso o no; si un lunar en una foto es un tumor o no; si alg\u00fan tipo de tratamiento funciona o no. A partir de esto, el profesional puede predecir la probabilidad de que el abogado gane o pierda el caso. Puede ser el encargado de evaluar el perfil de un nuevo <a href=\"https:\/\/zacatecasonline.com.mx\/tendencias\/86286-bootcamp-programas-tripleten\">https:\/\/zacatecasonline.com.mx\/tendencias\/86286-bootcamp-programas-tripleten<\/a> cliente y ser resolutivo a la hora de ajustar el l\u00edmite de la tarjeta de cr\u00e9dito de esa persona, por ejemplo. Adem\u00e1s de hablar con profesionales expertos, puede investigar c\u00f3mo otros profesionales ya han resuelto el mismo problema y m\u00e1s que eso, necesita saber c\u00f3mo adaptar y aplicar la soluci\u00f3n a la empresa. Serra tambi\u00e9n agrega que es importante entender la estructura de una base de datos y saber c\u00f3mo recopila los datos.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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Q53WxjTmH\/MFBvDq6akmiqaaR0NRBI2WKVtszJGG7XAHcesG4IJBuCVJ\/AdYVPpBRwSANhrqfMytpfcveGZZob73U7yx1udp7k8xPgv\/ACTRElXWJgrxfzux2sn3PxODpHCNVOVWTz7GZ+D0cOZZbq40bZWyukm3wQFt2fZJHXIa7+IALkc9wOF1gWA1O0jynvo+5P2vtT5t34qy\/QrSR+HSkkF8MuUTMHfWbfK+P+OLndwINt24jz+j3Shio8uvip7fK\/Zexp4dwjVXKZHsawNLtvmo6U2p29xK9u7bFu4sb0RC1v41ujvvN1cms7Lb2Jw7nsnNfZbK+\/aW9txy2336syyXTPRmKtj+iGH5XveM72M4Tjnewc0wsbjn3+24+forjk1Jhs7oaIl0T7bcDuHOfe8koJzOLLAEDdbKDl327lWjV5\/ylaT1UnKLim00ttlbLYbzhLl9ab2ZprqXUX65NhtoMuXb5H7TLa+S7dnn8ue3l6lga5Kmd8jnSSPc97yXPe43Liec\/s5rWXGvP6QxKxFeVRK1+j1W3nOxFXlajla1ySAWNaznWw2o8cA89REPnWShYvrU9jZ+t0A\/6iI\/MvquJ+il3PwPa4T6aH5l4kTOUvJbA5R7uopG+aTP+oorKTfKokIwiFo9viFO13ibT1b\/AM5rVGRa2ilah62b2mXev6kFfFx8isV8XFdI5JyoiK5UIiqFUFURELBEXf0dwievqYaKnGaaokEbL963cXPkf0RsYHPPUwqG0ldkxTbsjoK5bi1p6D6PYFStu+snr5mWp4TUsaHOAyvqZmtj7iBp32B7o9yOcjTqx0qqqR1o3t2mavQlSlqytfs22CKgVVlMARFUKAUVURAEVypZALIFVEAREQBERAEREAREQBERAFyxNtYkX3izenx9S4l2IXi5vu3bncS3xDnQFWzuLsthY7srRw8SvEbmtsb7+AtvXJhO12loml5O4jLfd8yzii1WYxUtEradwa7gXWAt59wWKVSMc2ZIU5SyRryQX4Ddw8ZRreF9y2FJqoxaJ4L4cwHHIS4+K9rLyMV0IxCHM90G5u\/JxJb1W4ndw8yhYin1l3h6nUYycoI5wOYHirAfJz\/9l3Z4XNDS5pBvv9zbmt8K6zqeW+YxuaCRxaR5N624NbO0wapwTst5d\/8AnqXGvQr47RtNrWNt\/Hgf2fAvPU16epOxCdwiIsRIREQBERALLLdTmksWFYpDNUAGjna6jrLjc2CcsO06skrIZCRvtG62+yxJUeFjr0Y1qcqcsmmn6ylSCnFxfSTTq8MfQyCaM7Wldxe3ui1jrEF2XcRwIcNx6rr0gb7xvB3jrC0BqP10fQ1jcMxfPJQsGSmqg10ktKzhsZWC7pqYDhlBcwbrObYMkNh7aWrhbUYfPDPA7ex0EjZIutrXNJykH2p4cN1rL5XpTR1fCT1ai2dEuiS8n2Hl8TQnSlaXqfQ\/eezodpNLh0hFi+nebyRX3h3DPGTua\/hu4OHHmI93SjT1ssRho43xZw7aSPaxtg65cI2tJ7skm7jwubbzcYI9hBsQQegqiijpbEU6Loxl8X2rufQTDGVIw1E9gREXNNYkgViWtg\/ve\/rkhH9ID8yy0rDtbjrUFumaIfnH5l9gxX0Uu5nvMF9PDvXiQ85V8n730TfdV2b8mmnH66jepCcraX9z4ZHfvp6p9unJFG2\/k2o86j2sWjV\/QXr8Ta0s74iXq8D19DMGGIV1LQmQwiqlERlDQ8su1xzBhIzd7wuFn2tHVMzBKNta2vfUl08dPs3UzYhaRkrs2YSu3jZ8Lc6wPQmapjxCidRujbVmphjpnTC8QnleIY9oAD3F5Bfctoa5otJxQMOLyYfJR9lRWFGCJGzbObZucSxv0u2ceNzVetKaqwSkkuldL9hjoQpujNuLclk1ku\/aafaCSAASSQA1oJcSTYAAbySd1gt2aJahJJYmS4nVvp3vaHdi0zGPkivvyyzSXbn6WtaQD7YrA9StIybHMOZIA5omklsd4z09PNURnySRMPkW+dfuk9XheHMkopNjPPUx0+2DWudGzZTzPLA8Fuc7ENuRuDjbfYrFjK9RVI0qbs30mxo\/DUnSlWqK6XR++8wnSTUAWxufh1c+WVoJEFYxjRKfctnisI3ce+aQTa5bxWp9FNH3VmJQYZK59M+ad9NKSzM+CSMSZ2ujJF3B0ZaRdSA5POllbidLVNrpTPJSzRtZM5rGvdHNGXBr8gAcQ5j99r2dv4LE9JaNkOnFIWC23fTVDwPsjqaWJx8uxB8ZKxUcTVjKdObu4ptP1GavhKE4wq01ZOSTXr9x4es\/VOzBaI1ra99SRNFDs3UzYh9NLu6zCV3C3Cy8jVHoA3HnVbXVTqXsRtO4FsImz7czgg3kbltseu+bqW4eUx7Cn78pPjesS5J38Lin2lB+dWpTxNR4WVRv4189nYKmDpLGRppfFayu+p8DBdM9Bm4fi9LhIqXTNqTRAzmIMczsuoMBtGHkOy2vxF+pbX0e1LzYfIZ6LHZqeYsdEZG0EDnbNxa5zRtJXZQSxvDoWM64vrsw37bBvl71tbXFjFTQYRV1dHLsaiI0wjkyRyZdrW08L+4la5puyRw3g8VjrV6so04p\/PW26Wb9Rkw+GoxlUlJbKb2Wbukr5bTCcb1IyVsz6mrxyoqJ5ModLJRx3IaMrWgCcBrQOYADj0laT02wUYbX1VAJDMKV7WCUsDC\/NFHJcsBOXv7cTwXv\/wD\/AFvSP3zd6Hh\/+GWJ4ziU9bPJVVMm1qJ3B0smVjM7g1rAckYa1vctaNwHBb2FpVoP+pJNW2Jfwc7GVsPNf04tO+1v+WMCoeyamlpi7IKmppqYvtmLBPMyLPl3ZiM97XF7LZ2sTU+zCcPnxBuIPnMBgAidTNjDttUw0+94lda21zcParXuhHslhv4QoPlcSkpygvYCu8dF\/WNIsWLrThWpxi9je3ejLgsPTqUak5LbFO2fUyPOrTRYYzXNoXTmnDoppdqIxKRsg3uche3jm435lkGtnVszAoaeZtY+q7IldCWugbDkyxmTNcSOvwtZX8m72bZ96VfxRrO+VV9SYf8Afcnyd6ipXmsTGmn8VrLeTRw1OWDlUa+Mnse3sNNaAaPHFa+noBIYhOZc8oZtDG2KCSYuyEjNvYG8R3y24OT7F77SehM\/xCxvkxUW0xSab2tPRSeR880LGf8AK2VSJgq2OkliHfQbPP8A71pe34AtbH4qrTqasHZJbcja0bgaVWjrVFdtu21+RCvFqM0889O43dTzz07ja1zBK+Im3Ncs4LKdWmr6rxt7zG9tPSwuDJqp7S+0hAdsoogRtJMpaTctADgSd4B49ctF2PjeJMtYOnbO3mB7JhiqHEfjyP8AKCpB6jKNkOCUAaN8sck7zzl800jyT02Ba3xMC2sVi3Toqcc3b27TTweDjVryhLKF\/XZ2MPfqAosu7EqwSW74x05jv07MNBI6s3lWp9YmhFXgkzIqgtlilDjT1MYIjlDbZ2uabmKVt23aSdzgQTvtltHrRxh2NsDqm9I\/EBSGj2cWxFO+qEAaDlz7QNObPmvmHRuWxuUjSMkwWSRwGanqaWSM84c+Xsd1vGyZywQrVqVSMajup+z2G1VoYetSnKlGzh7faYDoNqajxOgpq44i+E1LHP2QpWyBmWR8ds5lGbvL8BxXt9r9F77SehM\/xCzvUiP3jw37lJ8omWj8f1p6QR1VVHHiJbHHU1MbGikoDlZHPIxjbupiTZrRvJJVIVMRVnOMJJWbz732F50sLQpwlUg3rpZN9S7Tj1tau2YEyle2rdVdkvmaQ6AQ5Nk2M3FpHZr7Tq4LAF7ulOl+JYoI219UakQF7ogYaaLIZA0P+p4mZrhreN+C8Oy6tBTUEqju+v8AdjiYiVOU26atHoT\/AJKIiqsxhKIqpZAURVRAUXNSwPkcGMBLnENAHWbLiWXap4triVHCG5jLUws5twNyTv42AJ8ipUdotloK8kjfuqDV5TwU8Us9N9PLWudns7fYG+7cRf5lt5rQAGjcLWtzLF8Y0uo6EiEZppQO7jgYZHRj2rXBnBxtw614cutuBj8suHV8MVvqiSG0Y3cXZblo6\/iXKUJP4zOrrLJGeVEAsbBeLiGGxyizow4eILx6zWxgsbBevgL3MuImlz5MxFw0tYCcx6OtY1V6QY5VP\/c\/YtFG6xjZUNc+V4373MYbtaRbiWkW4KjpXMkZnpjQag2zZHUkMha9j2ukAdlyvzkZSO6uenp6l5euXRlk0AqGstktnc1gu1g9tuG5oHPwXQkotJ3TNbFXUO1LXSNYGSNY7JY5SXyOtxtw516GCVelGKUccv710TZo3g7aOWWS2ZzDaJjzGBu5z5F09HU71E3JbMr34GvXd1bVZHTSVjBmYOLXAg7u6HA8PH8Cx9bswTVO6TF3UeIP2sUUDquQwExiYOfZsbedjb59w9xutwWFa39FIsLqm9jsMdPMZWiLaPl2UsDm5wHyd0Y3wywSDMSfpjhwAXQxtWLq6vTZGisPJQ1+gwhERYDEEREAREQBERWBa9q7GFYnVUbzLR1NRSyGwL6aeWB7gOAc6IguHUelcSoQqyipqzyIlG5v7Vfr7j2baPSFriWgNjxGNhfcf7XDGMwf\/wCZGDe+9o3uO7cEq8Or2iSiq4aph9tTzxy26nBty0joNioIuYrNnvv7bjfnBHAg8xXmMd\/4rh68nOlJ0280lePqXBnMr6MhN3i9T2on7U0cETS+WTZsG8vkexjQOkucAAqYDDS1zBLSTMqYi7KJYpWvicbA9zIzc8WcN7bjeoCSlzyDI50hG4F7i8jqBddTx5KGEOdgFG+24hh89NTO+dalD\/xClGSVWpJ55JLLvuY46HWo5OTdrZbMyRSwjXG79xRjpqGD+jlPzLN1gmug\/uSAf7Uw+aGf9q9LjPopdx6PAK9eHeQs5XD+6wlvQ3EHflGiH6q0Qt28rOT91Ycz3NPUOt9vLGP1PgWkwCbBoLnEgNaBcucdwaAOJJsLdajAK1CPr8WZdJ7cTL1eCNhagNGZMQxaCbL+58OfHWTv5hIwl1LGOl7pWB1vcxP8uyOVTjLG0tJh4d9Nmn7Le0WuIII5Y2l3QHSSi3TsXdCznQzBabRvCMslgKaGSsr5Wi7pJhHnncLd9YNyNHQxo4qKml+kU2KVstdUuAfO7uWZrthiaLRQsJ9qxthfnJJ4uK1qT5xX5T7MMu398DcrJYXDcn9qptfYjKNQvs\/hv21X\/V9Wtrcqn2MpPwgz5JVrU+oRwOP4fYg76vgb\/wD4+rW2OVT7GUn4QZ8kq1OI+uQ7uJGF+oz735Hnck\/+BxP7rSfo51waZfXvhv2lL+irFz8k\/wDgcT+60n6OZcOmP174b9pSfoqtYZfWan5X4Izw+qUvzrxZk3KY9hT9+UnxvWJck7+FxT7TD\/zq1ZbymPYU\/flJ8b1iXJO\/hcV+50H59YqUvqUu\/wA0ZKv\/ACMO7yZ1dcX12Yb9tg3y962zrfwWpxDCaujpIxLUSmmMbC9kYOyrKeZ\/dyENFmRvO88y1Pri+uzDftsG+XvW5tYOkX0JoJ8Q2PZGw2I2O02WfbVENP8AwmV2W21zcDfLbde6rWckqWrnZW79hkoKLddTyu79225Gys1TY\/DG+aSiY2OKN8sjuy6R2VkbS95yiW5s0HcFg4W68Y18dk089P8AQos28M0Gfs7Nk2sbo82XsYZrZr2uOC0oAuvhpVpJ8qkn0W\/k4GLhRi1yMm103\/g9jQj2Sw38IUHyuJSi1x4RU1+D1dLSRGWolNMY4g5jC7ZVtPK\/upC1osxjjvI4KL2hHslhv4QoPlcKlrp1pEzCqKavkifMyAwgxsc1rnbaeKAWc7cLGUHyLn6RclVpuOfR33OpopRdGopOy6e6zuaf1IaB4vh+KMqa2ifTwCnqIzI6amkGd4ZlGWGVzt9jzL1uVV9SYf8Afcnyd693V9rZgxisbRR0U8DnRyy7SSWNzbRAXFmb7nMF4XKp+pMP++5Pk71hhKpLFRdRWf8APeZ5wpRwU1Sd11vruuw63JTobRYlVe7kpqYdWxjkmd8oZ5lk2gOMGbSLSKAuu1vYGyb7nsWE081vx3i6pybaIRYLHJaxqqmqmd15ZBSg\/k04Wu9SWMbTSaplvcYh9E8u\/c7NUCsZ47MhNkqR5SdaXUrbrcBSlyNOhHrd99+Jw8puiMeKxTW7mooot\/TJDLMx\/mYYVufU17CYX97M\/OctecquhvHhtV7iSppj17VkUrPNsH+dbD1NewmF\/ezPznKteWthKffbcWw0NXG1F2X32ZFfEKh0NdLNHYPhrZZoyRcB8VU6RhI5xmaNy97SjWTi2J076OrlhfBI6Nzmsp443ExSNkZZzd47poWP4rE6SsnjY0ufJVzxsaOLnvqXtY0dJLiB5V3cY0PxWjjdUVVBU08LC1rpZGgMBe4MYCb8S4geVdrVpuzla\/RfyPPqVVayhe3Ta9vWSY1JeweG\/cpPlEy0pjuqbHpamqlZRMLJamplYey6QXZJPI9hsZbi7XDcVurUl7CYd9yk+UTLB8T18bGaaD6FZtjNNDm7Oy5tjI6PNl7GOW+W9rniuLQlWjWnyST2u9+99p6DEQoSoU+Wk1sVrdy7DSWO4VPQ1ElJVMEdRAWtlYHseGl8bJW93GS13cPadx510l7Om+OfROvqa\/ZbDsl0btjn2mTZwRQ2z5W5r7K\/Ad91Lxl3oNuK1s+nvPNVFFSajld27ugIiK5QIiIAiIgC2vqY0Rjr6V8ndRVDq3ZQ1LXG8TGRQBzch7kgmoeb7j3IsVqhbn5NONNa6SgcbPdVwVUO\/vmuYY52jxOhpj+MVr4lyULxNnCarnaXUzaErZsLpKOOggMzn5NtE97QyJ53TF7rZnubIHjpOXisS0nqcemr3MjDBA0NDHxMFn3te7Se58RN7jn4rc9do+993QSRjM4yOjljc5u0dbM9r43gtvxIsd5J3XK8nFYX0jWmrq2RmR7I44qOAieRz3BojbJM9+UG+8taCBcgjiuc5SzZ0YxWxIwGm0Fjlwzata1tc6plqIHkNDBJS1skkNOTb+AeWHuuI2vQ0BdepwSesq3VrP4JxY51K43DZGbpaaYA+1fcOHPa3DjuQQQCERNMbGxWYGN72NrRuaOoCyxLEMNp5CZmMZPKSBdjnwPc0bmtfNAWktA3AuvZQ5tIyKKfgYTgmhdPBJIZwY2vc6bOZNm5j8zn3ZK0BzWjO7uc3OBzBbG0MwuWlpIY3FzrRtLmu3ljnDM5ubibFxG9cOjNHhszto2kayohdleKhmaoheN1s0hcQDxDgbEEEEgrLy1rQMp3dHUstBtzTbKVEoqyRq\/WTicmGVVLiETWvMrJKKRjh3w\/h4rHpzMI\/GWq+VBUN7IooW2D3RzVUrOdhlbTQxg+jyj8VbO144u2kjpZBbNFVwTNBAtZjid9+axK0dr9qdtiokzAh1FRuaLguYHiSTK+3B+Z7nW6JAurVjeoprq\/fsNWpUtSce33+RgCIik5wREQBAiIAiKqsCiqqKqAKiKqApZfRXkisA0co93+jpz5TQUZK+dRX0b5KLbYDTt9yKdvmoaNa1Z\/Hiu82Ka\/pTfcbaWBa6D+5qcf7RfzRSD51ny17rpd9Jph0yvPmZb51r476GRm0avlEO\/yZBvlWyk4pSR8zMPY8eOSrqgR\/RjzrXOg2U4lhwdbKa+hzX4Zeyob36rLPOVE++MsHuaCnb55ql36y1Yx7mEOa4tc0hzXA2LXNN2uB5iCAfIr4WN6EV2DGytiZPt8CXOvwyfQDEdnmvlpw7KCTszV04lJt7XZ57nmFytY8kyK9TiLrXa2npmk2uA50shaPGQx3mWwNAta+FYnTMZW1FPR1mQMqYKpzYoZXEZXOhkl7iSJ+\/uL5hexHAn06nS\/RzCIXbKpw6Fm9\/Y+HdjvkkeedtPScXG1sxsN28gBciLqU6cqOo7t8OB3ZRpVascQpqyWW\/iYnpS5o02wfgLUDmnm7p0WMWHjOZvnXLypY3HC6ZwaS1lfEXkAkNDqaqY0u6AXOaL9LgOdaY0j01qarFzjLBspY5opKaNxzCKKnsIoXkd8C0HPbiZX9KkPo7rHwLFqcMmnpYXSNDZ6HEHRM7rcXMtPaOoZfgW36wDcDPWpVKTp1LXsrO3r4mvQrU6yqUtbV122r+rgYfyUIz2NiT7dy6op2A8xdHC9zxfpAlZ+UunplI3\/AMbYdvG5tG09TnRVOUHrOdv5QW2cCxfCQ5lDQVOHZgHPZS0ctPuAsXkRQGzeN+HSVo\/lD4V9DsUpcTgmldU1b3VR2mRzIZaE0jacRBrQcgGXc4nvBvVKMuVxEm1bXi0t3uL4iCo4aCT1tSSba7\/ebD5SjCcEkIBIZVUjnH3LS8suegZntH4wWI8k6N2bFH2OTLQMzW7nMDWOLQfdAOabfxh0hZ7onrLwbFadrZ56amlkZkqKKtfGxpcR3bWOmtHUQneRbfbvg03C7GIaZ6PYPA5sdRQRtbd7aTD9g+R7ne5gptwLiO+dYdJFliTqRpOhqO7fDgZpRpTrRxCmrJceJq7W+4HSzDgDwfgoPUeznG3mIPlWyOUEf3grvHRf1hSqPsmkrq\/HYcTqS2FsmIUUrg53cU9PDPCGtLzuysijF3bhcOO66kvPp1gMjSx+K4Y9htdr6mBzTY3F2uNjvAPkWfEU503S2OWole3ZY1sLVhUVX4yjrt2v23IebVvum+cK5pHEbwpb\/wDirRnw3Bf5SkUbtadTTzYtXy0j4pKZ8rDE+AtMLmiCEExlm62YO4c4K38NinVk04Nd\/wDBysXg40YqSmp7bbP5OloR7JYb+EKD5XCpJ8oL2ArvHRf1hSKNGiM7Iq+glkc1kcddRSSPcbNZHHUxPe9zjua0NBJPMAt+67tLcLq8FrKemxCinnkNIWRRTxSSPyVtNI\/KxpubMa5x6mlYMXCTrU2l0rxRt4CcVh6qb22fgzW\/Jv8AZuP70q\/ijWdcqs\/uOg++5fk71rnUNilNR4syernipoRTVLDLM9scYc4MytLnbrmx8yzLlGY9h+I01DDSV1JUOFW\/aGGeOTZMfC6PaSZT3LAXcSoqwfOk7bLZ7yaE48ylG6vfLcbS1dQMosFoBM5kLIaCGaZ8jmsZHniE8zpHO3NaC95JPWujg8+ikU0bqR+j8dVmDIXUz8PbPnkBjDYjEc2ZwcW2HHNbnXh61dNcKODVlNR4hR1EskLKWKGCojkkcySSOF5axpuQ2IvceppUb6SpMMkczRd0L45mgcS6J7ZG\/C0LXoYOVVSnJtXb2ZX\/AHc28Tj40HCEUp2S252\/diS\/KRohLgr5LXNLVUsw6s7zSk+aoK9zUu8HBMMIN7U4afG2R7XDyEEeRePrJ0twWtwrEKeLFKGSSWklMMYqYS98zG7WFgbfvy9jQB0rA9RGsmmoIThmIP2MIkfJS1JBMbNq7PJDNluYxnLnh\/Du3A5bC+JUaksNq2d4yvbsMsq9KGKUm1acbXv09pr\/AA6neccjhDTtRjLWFlu6Dm4gC8EdQBJ6ACt\/cop37x1PXNRAdZ7LiPxA+Ze59HtHmvNd2ZgwlLbGrE9Fti22XLtgdoRbda\/UtL699YcGKbOhoXOfSQPM0s5a5gqJw1zGCNrrHYsD3m7h3TnAjc0F2eMp4irB6rioZmvKFPC0JrXTc8kv32m39SPsHhv3KT5RMotaTvb2bW3I+rKvnHhMqkPqj0ywqnwihgqMRooJo43iSKWpiZIwmeVwDmuNwbEHyr3naV6MkkmtwckkkkvpCSTvJJ5yqUqs6FSb1G7t+L7C9ejDE0YLXSsl1dS7SJbXg8CD4ivR0fwWqr5ex6OLay5HSkGSKGNkbLB0kk072xRMu5jbucLue1ouXAHZ3KGxbC6mOhGHT0MpZJUmYUboXFoc2HJtNlwBIda\/QV5moHsfsiuJv2aKRxpi7srZdiGGqGIiTYfStoSaIM7I7jPly93kXWjWcqeva3YciOEXOFR1k02lfv8A3vPQi1T0bGw7fEKhsgha6tgjZA55qJYYXtho5GB8LWwyPmZIZHOzbEZLZjkwfTjQ2swp7ts1r6V088FNVxyU8kc7YnHZvc2CWTsZ8kWWURyEEtcbZsriNjaVP0nGJQjCm1ZoNnSbERNecJeTBF2acULfpB\/dPZG07J3tYGltmbMrt67xR\/Qt2Y7hXTfQgN7KzF+1pROZ\/wDQFvYJdl2v02\/e9zmWOFWakrtO\/V0HQxGDounNwjKDpOzbeyXR5e00Uqqiqtw4IKIiALKNVdcKXE6ScmwjkYT9qZGNcPySfMsXuuehkySMN7d0N\/VfeqVI60Wi9N2kmT9o667QRvaRcOG8EEXBHkWA6Q45FFijHVIvsGEUrDYbSeQNaX791mtda\/NcrwtUOn7ZIY4J3DMyNov4gABw4gAede5pRo\/SYxWUxkAfA2OYyAFzS4Oa1rRmaQW7\/iXGb6GdmHWjG8Up8dxSSR9JK2CmcXCVsFO5xMdh3TZd22OVzeB9srMI0Nx6kdG81VZK3M0ESAOBZZzmgMc\/cQ1h3c3mWfMmmw9jYezHbOJoY1smUOLGggDaCxBA59\/ALysRxls72tdVFrWi+6bOQbOse6ebHfuIsQsl1YyqDbvs3sxXCNNH\/RJtHMGOqmFsb5IWuYTch0cdQx3OWG46C4WNjv2pitWIY3SO35QTlvbeBuC17X4fT0kcUsLWCVku0LsoaXOHHjvNw21+deBrE05a4NYxwDnAAsvYgnNYjd0FhHlHMscNsthjqbM2YXrf0jbXSG7j9LdbI4HuDwI6+K1TXOJe4kkkni4knhYC55gN3iAXsaQ1YkkcRuubkH4BbxLxJzvXdj8xHHqyuzjREUGIIiKQEREARVVEAQIiAKqoisCkh3HxFfSLkvi2DMHQ+Ieaio183JT3LvEfiX0m5NIthTh0TNHmo6Nalf6WH+3kbdJf0J\/6+ZtELXOux3c0g6TMfMI\/2rYy1rrtO+iHVVH5P\/3WDSD\/AKMvV4oyaLXymHr8GQO5Sct8dmHuKajb54y\/9da2Wd6\/330gxA9BpG\/k0FKD8IKwR+656AfiWxhlalHuXgYcY715\/mfiFdEN4UjNKtTmCU+HVlVEyqE0FDVVMZdUuc3aw00krMzbd03M0blpvVLgcGJYtSUVUHmCfsnaCN5Y\/wClUk8zLPHDu42qtPFQqRlJXssy9TBVKcowla88vAx1FtjXvoBh2DQUktC2cOnmkjk20zpRlbEXjKCNxus30Z1NYJU0dJUSNq9pPS000mWqc1ueWFkj7NA3DM47lSWPpKCnts+zqMkdG1pVHBWurX29ZHSnkdG5r43Ojew5mPjcWPY4cHMe2xa7rC7+N47W12z7Mqp6rYhzYjO8yOYH5c4DnbzfI29796F62tvRxuE4lU0kOYQNZFNTF7s7jFJED3Tj3xErZW\/iraesTVRhFBhVXXU7akTwQskYX1LnszOfG03YRvFnFWniKa1G\/t5bP3bMxxwtV68V9j523qvwNClAEW1+TfoFh+P1FdFiDZnMpoIZIthM6E5pJXsdmLR3QsBuWy3ZHOr1lRg5yyRqpFMLtdtGvsdf6a\/+ysS1hcm6BsEk+CVFSaiNpe2iq3xysnDRcxQThjXRSm27PmBNgS0HMKqaOfT0zh5ytdrvRGpEIPAggjcQQQQRuIIPAjoUkNSmpTCMUwakxDEGVfZFSah30qodEzZMqZooSGNHOyMOvz5lLdjcxOLp0Ia88r22Eb1Vb05RWqfDMCoKesw5tSHPrGU0+2ndM0RyQTyMIBHcnPEBf+MF7WpLU1gmL4LSYhWMqzUzmqEhiqXxMtDWVEDLMAsO4ib5bqNZWuYHpKkqKq7dVu2W25HFVCmB2u2jXuK\/06T9i8bT3URgFFhmI1kLK0T0tDWVMJfWOewSw08ksZc0jum5mi45010YoaZw82oq+3s95FlFt3k3auKHH3Yg7EGzmGkbSNi2MxhvLOagvuWjurNiZu\/jrZGneoTBKXDa+ppGVvZVNSVNRT56p8jTLDC+VrXMIs4HLa3Wpc0nYyVdKUadXkpXvs6Nm0i0ioCqqToiyIiAIiJYBezoVjFXSVkXYEsUdVUFtI0TthkhkFTLG1rJ452ujdEJBE+5BymJruLV4ziOJ5t56Fu7QuGqoMMgp3xNpajsmR76bNS1LqpznRz09bUU7S809VFeGJjJRmaadr2ZHZ1sYbCuvPURaDaaazM0fJC91PnjdMx8czcXxGBmRmHVVHSU7mugpnCETsqqjbNbnbCS6SzWt2ZLtOa7ccrZKvsSompDSZ311BFSwxwAU9U54pWzgQxOknjgAjGdu4EkEh+Z3t47pfh1LVPpZGVlW+KSSKqq4JIGsjnYS2UQQzMLq8NkDgXulgDi02uLOOW0tW4tezaR1lNLRZ4YXPhpYsVppIDLS0dRU1Ibs4CyZ9myk7Jxc1gY8gjcWi8LLWdCXxo3bunlbo2dZu1sfWrQ1JSbS6N3AjyqLsV9DNSyvp6hjo54TklY+2YOABv3JIIIIcCCQQ4EEggrrrmGgFVUVUAQKrRdVA4kf5KA97B8WfTlrmuIylu5p4gcb+YLamgms8wODpmue0gCR3RY7rdf7Vo+BxN9xsBc9Q512IqpzRa5t\/m+5alWgpm1SruJL\/S3G8PlgaXyRTMkZtGEODrNINjuIv3QA8a1ToxjtDSzvc\/ugC4lwy2tnNg4c\/H4QtPx4nKGWEjrC4DS4kAbz3I5lwdkvcCcxG6\/E+L4lhWE62Z+eWyRvDWTp9SOjjZSvDiCTJusd+W3kt8S0\/pBixmkJcS6xs1xsTlHAXAG5eQJTzm+7p5+ZcMjrrYpYaMMjBVxEpnM5+ZwJN7kXt8auqXCwNgbOcN\/O253f56VbB09C4pHXsOonyldKMtSHeaj2suAYeBtfp4edWujI679C4mdC7FQ\/fYe1It5t6jWjJXat3cBY4Si7DX7t4Dh18fOrjTtNspIJF7HePPzKyw+t8x37MmRfrOqivkjI4jy8ysWvKLi7MsERFACIiAIiKwLKjvXfan4l9K+TiLYbIOipt5qSkC+ak\/eu8TviK+l3J5FqCcdFWR\/01KtKv8ATw\/28jdpL5NU74\/\/AGNlhaw11n6ZSDoZUHzuh\/Ytnlas10H6dTDoikPne39iw6R+hfq8TJopfKI+vwZ8\/wDXbJnx3Eje9p2t\/IgiZb\/lWGScD5fiWS60Zs+M4o61v3wq2fyUzo\/1FjUnA+X4lt0lanFdi8DVru9WT7X4k09PfYbEvwVXfIpVGrk+fXBh\/irf6uq1JXT32GxL8FV3yKVRq5Pn1wYf4q3+rqtcjB\/QVPX4Hcx\/1ml6vFGzeVh9SYf99TfJyto6EEDDMOJ3AUFFcn71iWruVh9SYf8AfU36ArNppXM0ZMjHFro8BzscOLXswzM1w6wQD5FryjrYemu1+Jt05auKqPqivA1xys8Jt2FXtA3tnopXc9wDPTjxW7JWxtcvsBiH3tH+lhXma24WYzo1LUxAb6aDE4t3e5GNmlHUdi6dvlXp65fYDEPvaP8ASwqVO6pxeak17UVnTUXVkspwT9jREpSA5FP1Ziv3rS\/p5VH9SA5FP1Ziv3rS\/p5V6CeR4PSv1afq8Udvld4\/X0dfh7KSuraRj6OR72UtVPA17hUFoc5sTmhzrbrlbQ5OOO1WIYDSz1kz552SVMDp5TmlkZDM9sZkfxe8MytzHectzckk6e5aXsjhv3jL8pK2dyTvrdh++q79OVR\/NRxMRCPwfCVtt895F\/W9TsgxvGGMFmMxCscB0Z5XSkDqBebKYmjUjcF0co3TWb2DhlIZb7m7TYx7S\/VtHlRN1oUBqtJ8QpRe9Vi5pxbiDPPHDcdfdqSXKqrOx9G6uNhymoko6Vlvcmpjlc0dWzhcPFdTLoRs49crGhS9K19y4nb5TmHGfR3ELC7qc01UOoQVURlP8kZVEDDtJsSpmNhp8SxGnhZmLYaetqYYmFzi92WKKQNbdznONhvLiedTcxNrcYwCTKbjEsHc5h581VQ5mHxhzwfIoFxOuAekA+cXU08rGTQluSnTkvmy8V7ifWrKpklwTC5ZZHySyYZRSSSyOc+SSR1JG5z3vcbueSSSSbklQfk0txaaJ0cuK4lJHKwskjkr6t8b2PbZ7JGOlLXscCQWkWINlNvVR7A4R+CaD5HEoFQd63xD4gohmyuiIR5SrddK8ZEteRzhxjwepqCN9XiEpaemOCCCEf0gmW1cCr4sTpDI2xindWU5twLYqiekf5fpZWH6jIW4fovQyu3BtJUYg8ndumfPWb+oMe0eILyeSViZqdH2Ne4ukpqysieTxvI9tZc+Psq\/nVXtuzlYuOvKpWX2ZJeravJERKimdC98D+\/ge+F\/28TjG\/8A5mlcayzXJh\/YmO4tAOArp5m9TaoiqaPEBOB5FiazI9lSlrQUutJ7wiIpLhdrCsOnq5Y6alidPUSlwiiaQC4tY6R3dOIDWhrHOLiQAGkncF1V7egOOjC8RpMQdGZRSymQsDzGe6jkizte1ju6ZtNoAWuBMYBBBIQh5G05OT+DGYxiwdUGXIJDRvbROgI2APcvc\/MavcJc2TZ77bT6Wu5h01e6Cnqq2lbTYoZaidzI4alkgipJBEZa2KZzmxVAqKeoeREGsyPa4hoLQsjM2jEVa\/Hxi9OTLCcODxVuyyR08IicG0LqXbCp7Epox3RMRdI0sa572BaVrdYVY7E5cQhkrYKWbEosTfhrcRqBG8xSRO2ckg3ZnMhYzNlIaA0AZY2AdDD11h6mstuey+a7TDQqTb+N4W29KPTx3QBs9VJPS11JT008r5tlVNrNvSbV5e6ENgp3tqWNJIa8PBcA0uEZJtnGG0jDsqanj2jYqXsLDxV7RkM1TDABGat9M8Oia+V5mcGOIYZWguyXesTl1iYdtI2spKmSnk7IdVzzRRsrYXSMtTiighrRTyNjkAe4yFu0D3NAjsCcd0z05qKqRzKKor6ehdRxUL6d9Q6NtRGwP2j5KWGR0MQftHgsaXXBkJcTI8La5xhqClKjdyldZ2sms1s6+s2rpZGOY3i0lfPLWTBjZJ8ji2NpbGxrY2RRsY1xcQ1sbGNF3OPc7yTcnpqiujbcrivaUKNaSuQMXOWdC4JDc5G+UoCxxvubuA4lckoJsWC1wAWgAC7QBmHjtc9ZPSgYOA4DiVyDmQCC8YJt3zHB3jIVKGF8rSGDMWgFwFr2JsCBz\/8Add4wiWmkmbxibZ4595Aa\/wAu\/wAxXjxNuOO48f2FUZZHqT4bPGQx0bw53ABrid1wQQBx3Lqvp5GbnMc0kDc4EGx4Hf0hb51eafYGY44qsMp6jZNillniDYpA0Ad1M24tuB7q3BW6e\/8AhupkjqhitEDGMr44ZRM58IzHK1kIc5zxm3Dn3eXTjXnrWlE23h42upGgnDf5FY25K7uNCEzzGmzdj7V+wLrhxizERlwO8Etsbc1114mWC307o03sL3GzVwDvirr3d4t6Nbx61MpXILGDerncT4rrkY3eqStsQeu3nUAuiZcWXO0cBz7x5Bx+ZWxmzm9Bv8Sqw7z5v2\/D8SyxlZbCp2GkWIPDh47rz6qHK63MeB6v2rtE3LW\/jHxcFzVEYkaQOI4eNdNR5xSt9pZdvWinzWeUiIuSZQiIoAREQFkwuCBxLSPOLL6YagPqKpHRWP8Ak9MPmXzWpW3kjb0yMHncAvpRqB+o6n78f8np1pV3\/Xh3S8joUV8lqPth5myVqnXK791QDohv55HD5ltYLUmuE\/u2IdFNGfPLN+xYtIv+i\/UW0T9YXc\/A+d+nL82JYi7jmr651\/HVSleLJwPl+Jd3HpdpVVT\/AHdTUu\/KnkPzroycD5fiW9FWikaE3ebZNTT32GxL8FV3yKVRq5Pn1wYf4q3+rqtSZ0ghdW4TUxwWc+rw2eODfuc6oo3ti39BL2+dR25PWB1n0cp5XU08bKNtW6pdLFJGIi+lnp2scXgWkL5W9zxsHHmXFwkkqNRPt8D0WNi3iKTXWvFGe8rD6kw\/76m+TlZlX\/WtJ\/6ed\/VZWE8rKZuww2K\/dumqZAOfJHFGxx88rPOs2r\/rWk\/9PO\/qsrF\/ipfmfiZf\/kVfyrwPH5POINrsDNJL3fYslTRSB3toZhtWD7XJUFn+7Xua6G2wHERxtTsHjtNCFqnktYtsq6roiTlq6dszBfdtaR9rAdJjqHn\/AHS2xrt9g8S+4N\/TxKteGpikuuSe\/wB5bD1FUwbfSotbr+REdSA5FP1Ziv3rS\/p5VH9SA5FP1Ziv3rS\/p5V6GeR4PSv1afq8UcPLS9kcN+8ZflJWzuSd9bsP31Xfp1r\/AJX+CVtViGHvpaOrqWsopWvdTU087WuNQ4hrjE0hptvsVtLk34FVUGA0sNZDJTzvkqZzDK0sljZNM90YkYd7HlmV2U7xmsQDcCj+ajiYicfg+CvtvxNGYZh4qtYD4yMzW4zU1J3XA7Djkqmk9AD4G\/As\/wCWfVnsHDaVoc4y1ktQQ0F3c01O6K+7rrAvJ1NwNqtOMdq2d1FTHEiH\/wDmPrIaVtvGGz2PQFt7TbWhguC1DaTEKqSGd8TKgMjp6iYbJ75I2uLoI3AEuifuJvu60b2ovXqSjiKerFzcILYu46vJ6rjUaPYW5wIdFC+lcHAgjsWeWmbcHhdkTT4ioW6UYf2JW1lIBYUtXV0wHQ2Cokib8DAp26Daa4djcck+HTunjgkEMpfFNC5shYHgZZmtJGVw32sohcovDzTaRYm21myyQ1Lf4wqKaCR7h\/vTKPGCpg9rMuiaj5xVjJat9turb7yWeqj2Bwj8E0HyOJQJYTkFuOQWHPfLuU9tU\/sDhH4JoPkUShPq2w81eJ4VTWuJq2hY4dMe3idJfqEYefIkOkyaKlqyrt9D\/wDYmFrMYMM0Vq6doLex8Jbh7A0G93wR0LAAN97vC15yL6twhxWkc1zck1JUtzNLb7aKWJ9r9HY8f5QW5tOdMcPwWFtViMzoIZJhTscyKWZzpXRySBuSFrnAZI3m9rbuteRobrWwTGansKgq5JajI+UMkpqmIFkeXOQ6WNoJGYbr3VNtjkQqVHh5x1G1J31uhWt2Ec+Vjh4h0gfIBYVdHR1BNu+e0S0h385y0rPgWpVIflqYeRJhNWBucytpXu62Op5om+Z8x8hUeFmjken0bPXw8H2W3bPIIiKxvhERAUsqoiAIiIAu1C2wb5SfmXXjbc2XajO6\/jQFHyWDj12HzrjiZze2dx6h0KpHC\/tPhed67EDLC54negONsfNzc6SDceoH4l2LLieNzvEUIuWUlQ6KOQDhNE+J4PO13dAjoIc1pB6utdfDxd2U8DuV571vi+IFXUUZDmu8RVWZaavI5JqbLw8ytjYOjhzr166IGzgNx4+NefXNyssOLtyrc2pUtW50SS49DQVe42aT1\/OuTZ5QB0bz8a4nC5a38Y+T\/urI1JqzETN2\/iVflV9lUKxQtDd91bKL3b0t3eMLkXHPuyu6D8BUgNPcg84\/+iqxnd5EfwK44TcX8yA5oufpO89XQF3IXLqgbusrkDvMt3B1XCVyklc62Ix2fccHb\/Lz\/wCetdZelWsvHfnbv8nA\/wCepeaq4yCjUbWT2\/v1kwewIiLULBERAdjCheeAdM8A88rF9JOT\/wDUdV99u\/QU6+cGAC9XSDpqqUeeeNfR7k\/n9yVX3279BAufX+sw7peR0qK+R1O+HmbLC0\/rgeBXNJ4Npor+ISzu+dbgK0nruly1MzvcUd\/yWzO+dV0j9H60Ton6a\/Yz5zBxO8m5IuSeJJ3knruipHwHk+JVXQRzXmbw1P65IKOmjw\/FRIGU4EdPVxMMtoR3kU8be67gWa1zA67bAgZcztgV2urR6NhcyrlqHAXbFFSVQe48zQZ42MaftnBRPV0Z3jxrRqaOozlrbfUdKlpatThqKz71t8TL9Z+mM2N1ZqXs2UUbNjSwZs2yiuXEvPB0r3G7iN25o3hoJ2nV61MHdgb8OElR2U7CHUIb2NJk7INAacN2nDLtPbcLb1oNFnnhabUV0Qysa0MbUg5Szc87nu6vsbGHYlR1zr5IJgZcu92wla6GcgDviIpHkDnIAW49ZetfBq\/C6yjppKgz1EYZGH00rGlwkjdve7c0WaVH8K5RUwsKk1OWa\/kmjjalOEoRtZ5+tWC2xybNO8OwGprpcRfMxlTBBHEYoXzEvjle92YM70WcN5Wpwi2GrnOrUY1oOEsmTHHKH0Z+z1noM37FiesPlJU2wkhwSCodUyNLG1lUxsMVPmBBkihu580o5g8MaDvOa2UxkRVUEc+nobDQlezfe9huPk2afYVgTsRmxKWYS1fYrItnBJOS2I1L5nve32znSs47zlJWLa9dLafGsYmraQvdS7GmggdIwxvc2KLNITG7e36dJKN\/RfnWChXKdXbc3I4SEarq7dZq3Z0cDcPJq1kUGA\/RGPEXzMiquxHwbKF8302HshsuYM727Xxbz7heLyhtK8OxrE4q7DXyvjNHDBNtYXwuE0U05uA\/vgY5Ixf+KtcImrtuQsJTVZ1lfWezs6vIlPoHry0fo8Kw+jnmqhPTUFLTTBtHM9olhpmRPDXjc5uZp3haE1LYzSYZi9DXYg57Kal2r37ON0zzIaaaKIBjN\/8ACSNN\/wCKsTRFErTwNKCmo3\/qZ7e\/LZ2m7OUlrPw3HoKGnw1872wzTVE5mhfBZ2ybFCGh\/f3Ek3DhbrWB6mNJocHxmjr6hz200RqGVBjYZHbKammiFmN3utI6M2HuVh6qEtssXp4SnClyS+btXbtN88orWZguO4fBBQS1DqmCsZUAS0ssTTEYaiOQB79wN5IzbnyrRCtuqhSlYthsPGhDUhe3aVREUmwEREAREQBEVWi5sgOenbbf0mw8n+fgV8XOOu\/n3\/tV8rRYNHNa3jsFxMd3Rv0fBu+L50Be1t3Aczd56yV2V1Kd24u53Hd4ub9q7IO5CoJ3KjRx8So7grm8EB1J+Fuo28u4fBdeo2CzG\/aD4l59OzNIB1\/AP\/s+Ze5I27SPJ5lSRv4WF02UpjcOb5R5OK6VW3NIxvWF2qM92B5LeNdef6oZ1m3lVUbM\/mrvOrVs789HzrrsG8np3DxBd6sb3EnjXWIV4mhiFaRaiqqKxrAqyYXaQr1Qnj4lIOMm7L9XzJBwXHfuCOi4+ErkjG4dHxqCxyt3\/wCeb9q5GgKjeCtPdHKNwHfHo\/7rLTe0qdmAZ8w5rEePdZeS4WJHQSPNuXrw2G4bl5+INs89dj51v4um+RjJ58SsXtsddERcsyBERSD0dFxetoh01lIPPURBfRrk\/wD1JU\/fR\/Qwr506HC+IYeOmuoR\/1US+inJ+P7kqh\/tXxwQ\/sXOrv5VDukdWivkNT80TZi0DyiqgR\/ROQ3tFhs7z02ZSSv3LfxUcuU9LaHHD0YdMz8uht+umO+bFfiRTRn0kn+GRAdosAOgAKpNhfoRctE6MSxGUXiEsZlFr3iD2mQWHHuc25b5zWS61MajsLo6OCqxWkjrcRnjbLKyqAlp6QSNDxTtpzeN8jRYOc4OObNaw45dLoFonisUkcNBg8zWHZvkw5tNHLC8Dc3b0NnRvFuBPNwXr62aaefBsWipczp5KCsbEI++feF92Mtxc5t2gDjmUQ+Tzp7S6PYhNVVYqXU09G+nMdKxj3OlM0Ekb3RySMaQ1rJRmvcZ7c5WFXe08nRjXxSnVU3rJ7Ev52HT1s6BzYJirsMYX1LZhFLQPIAkmhqJHRQseBYbUSMfGSLAltwAHWEmNXmpPBcLpWOr6Wmr6zZh9VUVrWzU8bgMz2wQy\/So4W7xmIzEC5PMNU6aafYdpHpHozLRRVTG09fRwzdlRRRufnxGmkjDRHK\/M0ZX3vbvlt\/lQzObo3X5XFud9FG6xtmY6tgD2G3FpG4jnBIUtt2RsYutXmqVJtwc\/ndedvedyv1c6K4xA7Y0WGOYSWCrwoU0UkcgHtZ6PcXt3dy\/MOkEblF2u0KOFaTUmD1YbUQ\/RLDmhz2jJVUdTUw5S9h3d1G5zHN4ZmvHBbB5FM5FZiseazHU1K8tvZpeyaRrXW6Q17h5V2tftv\/GmAEW3jAySOc\/RmpG\/rsB5kydi+H5ShXnR1nKOrdXMm5ROgWC0OA1tVR4XRUtRG+jDJoYWMkYJK2njeGuG8Asc5p6nFdHkyaD4PiGCCprcMo6uc1dXHtZ4WySZGFmRuY8wufOsy5Uv1tV\/3Sg\/rClXnckX632\/f1Z8caX2Gmq9TmLlrO+vnd9SMmk1daKtJa7CsIa4bi10cAIPWCdy1ZynNFMDosIimw6joIKg11PGZKVsTZDE6GpL2ksN8hLWeYLUWv8AYDpFi1wD+6W8QD\/oIVgzWNB70DxABWjHpudLC6PmlGo6reTt6ssyZ+rHVxgFRg+FzzYRQzTT4fRSyyyU7XPkkkpo3vke4984uJJPWo+cpnRWHCcYkZSQtp6SqpYamCKJuSKMhrqeZkYG4fTIC8jmM3WFKnVVM2PAMJkeQ1keE0L3uPBrGUcbnOPUACVq3lq4HtKCixFrTmpJ5aWUjmhq48zXO6hLTsaOubrVE9poYLFzjjHGTdm5La9x7OsTV7gcGjlZVQ4TQxVMeGCZk7IGNlZLsWu2jXjeH3JN1zaqdCNGp8Gwyapw\/C5aiWigknkmbCZXyuYC90hcbl5PG6yDWn9atd+B\/wD9dig5NGLONhezjewvffvupSujPgqVTE0ZLlHG0s9r6O8nidV+jdsxwXDQ0C5PY8dgLXvfotzrBddmhujtNgeIz0dBhkNVFCx0MkDYRMxxqIWksLTe+UuG7mJWydIR+8lV+Caj5C9QAjjADSA29hvsL8OlIK5h0XRqVpOTqP4jWza7+0mfqz1cYBPg+FTzYRQSzTYdRSzSSQNc+SSSlje+R7jxcXEknrUb9Q+gJ0hrxTyvfHR08TZ6yRhG0LCQ2OGNxvlke6\/dWNmxvPEBS61SewWD\/grD\/kcS0ryIHM\/fgf6TJhZ\/3YFeN34x+EIm7MtSxVSEK8k3eLVum120baGhGimHRxxS4fgsDX\/SonV0dK+WZwt3Imrbvmfw5yd6wDXvqWw91DPiOE0zKOqpI31ElPAC2nqoIgXzNEIuIp2sDnNLAA4tykG4LcH5ZNLMMXpJJATTyYexkBO9meKec1DGjmeNrCT0h7OjdlOh+vzB6fCqSgq4sTlqIKGKkne2CnfG97IBC4h76kOe024kAlEnmiKVHExhCtTk5t5rs3mQanNC9HKjBMNmq8PwuWplpmvmlmZCZXvzvGZ5cb5rAcVmo1X6N2zfQbDMtr37Gjta1736Lc6gcYgG8BmDbE2B3htr3K+gGGewsP4Ji+QtSasRpOjUoyUlUfx29m1W9vaa+1uaE6OU+C4lNSUGFxVMdJK+CSFkIlZIAMroy03DvEvN1FalsPbQwYji9Mysq6yNlRHTzgup6WCUB8LXQusJJywtc4yA5S7KALEuijs27O+Vt8l72F7243U8taspi0exMxOyFmFVIYWmxaOxi3uSOG7cjTSsZsXTq4eEaUZt8pLPpWStn2nAdB9FMTjkiiw7BZ2x\/SpHUMdKyWF2\/udtRWfC\/jzg7lFjXhoCdH8R7Hje+WjqI+yKOSS2fZ5iySGQiwdIx1hmsLtew8SVnHI2w6c4lWVLCG0sVGYJm3IzyzTRSQgMAscohkNzwz7u+K9jlrZM2C+7y4n+RfD+Plt5ipi7SsWwvKYfFqjrOcWr7e5vyI6Lmpm8\/kH+f88VwrtsbYAdXx71lPQlzzx8a43jieo\/9lc\/fx6FwMceB5tx\/agOWHvW+Jc5K4IRuHUFyEoVOW25Ae5PlVGcypUGzSBz7h5UB2MHgIe1xHfxh7fE57h+qV6bBxHQVzYlCI5YGW4UFGTzb3xbQ\/C9cDDvPjWNnWw6+IjiDbSA9BXVrt00Z\/jD41n2qXROLGK8008r4omU8tQ4x5c7sjo2Na3MCB3UgJNuAWNayNHpsMrXU0oNmSEwyWIbLFc5HtNt5sRe3AqE7lqisjxq8bpB\/GXTv3IPUu1jJtJ1OA\/aukzvR\/ngrxNHE\/OKoERWNcturXOsVc5ccyA45eDh1g+ddhnBdaY8Ou3wLkc8cN56hzoDkzk7huHT+xdoANaBw6l1GAm1xYdH7Vd1nhzdfiCy0nZ3IZ2WvHWuviNjld42\/OPnXK2Pp3dXP5VTEW9w37a3wFdCcnKi7lOk89ERcoyBFQqiA9nQVt8Tw4f7fRH8mpjd8y+ifJ8+pKr75\/8AhiXzz1cNvimHj\/a4T5nZvmX0K5Pv1NVffI\/Qxrm1n8rh+VnYor+31H+KPkbNcoxcq6XLS487\/Z2M\/Lhpo\/1lJ0qKHLDlIocbINi51DH4w6ooWOHlbmVsbt1F+JGDRztrv8EvIhUhHMiuYwkhrQXOcQ1rWguc5zjZrWtG9ziSAAOlb5ziZvJq1kxYxQx0M8oGK0ETY5GuNnVNNEAyKpjvve4NyNk5w7utweFr7lD6knROmxrBoy6Il09dQMFzEd7pKmkaOMXFzox3u8t3dy3SNPheM4Y9te2kxKgfSuZIyrdS1MAhcXBjSZZIw1uYuDLHc7Pl33sZh6g9ZbdIqNxla2PEaMxsrI2CzJA8HZVUQ5mPyPBb7VzCOBaTja1dqPN4mjPB1HiKLvF\/OX7\/AGiJWqc\/v5gv4Vw35XCpV8qf62637rQfLqdaj0+0OiwjTTCOxmCOkxDEcNrIWNFmRSOr42VMLBzMEgDwOAEwaNzVtzlT\/W3W\/daD5dAjd2hi60auIoTjk7P2kLXMB4gHxgH41kOrJoGMYRYAfvrhnAW\/12Be5qb1cyaST1NOysZR9iwxzFz4HVGfaSGPKA2VmW1r33r2MU0Cfo7pLglC+qbWGWqwmq2rITAAJMTMOzyOe+5GwJvf2\/Ddvu2sjtVMRTvKnf41m7bf4JAcqX62q\/7pQf1hSrz+SL9b7fv6t+ONehypfrar\/ulB\/WFKvP5In1vN+\/q3441i6Dy6\/wCPf5\/JHFptqAoMVrqnEZcQrYZKqTavjiZTmNpDGMs0vaTazBxKj1ru0IhwDEW0ME81RG6lgqdpOI2vDpZJmFtowBlAhB6d5WY65daOP0WN4jSUuJzQU1PUBkMbI6chjTFG+wL4i473HiVqnSjSOuxSYVWIVL6qoDGwiSRsbXCJhe5jLRNaLAveeF+6V4pnb0fRxEUpVJpxtsW63R5ky9GhfRCAdOjjf6qXnY0BpLoa+TdLLVYW2cZTxrqJokc1p5j2VTOZv6SDzr0tGfrRp\/8A043+q1hfIyxzbYTU0DnAuoKnOxvOKetZtG36Rt46nzqnacOUWozqrOnNP2vzsZrrQ+tSu\/BA+TsUHZu9d4nfEVOzXRC2PRzFY2CzI8OlY0dDWRhrR5gFBKbvXeI\/EVamdbQTvTm\/xeR9ANIvYWq\/BVR8heoAx8B4h8Sn9pF7C1X4KqPkL1AGPgPEPiU0+kroPKp38SfGqT2Cwf8ABWH\/ACOJQ+1G6cHAMRiq3hzqSWMU1dG25cad+RwlY320sb2teBzjO0WzXUwdUnsFg\/4Kw\/5HEoKYLg9ZVMvS0dVVBmQPNNTT1AYS24DzC05SbHcehRBZlNGxjN14yybSe+RObTbRjDdJsNbE+RssEzW1FFWwFrnRPLTs54XcHAgkOadxBINjvEM9YehtbgVW6irWC9i+CdgOxqob2EsJPkDmHe07jzE5jqb1k1ujNV2FXx1DcOleDU0s8Usc1GZLHsqCKQBzdxDnMtZ43jurEyN136IRY3g9RG0NfUQRvrMPlFiRPHGXhrXD\/RysBjPNZ4PFosXxWVozqaPqqnJ3pzyZByTvXeI\/Ep+4X7Cw\/gqL5C1QAkddpI4FpI8oU\/8ADPYWL8FRfIWqanQZdO\/4+9+RAODvW+JvxBUcxjd5DG9ZAHwpAe5b4m\/EFIrkk4XRyxVjpqeKWaWaOEvkaH2gbGZDG0O3NBOa\/Tu6Ak56qud5tKLk8opt9y2maclbQybDcNfWVIcyfFHRzthduMVJG1wpy4c0kge6Q84a5gNiCFifK3kZU09POwE9jVOxD8py5XsfnOboLg38kLdmlOkLaSpw2jygvxKomhG+2SKnp3zSOA5zm2LfE8rCdeOjj67CqyJjSXsbt4gB30kZztb5bLUnUamjn6EwzxDni55u6iupEO12ouAv0LhhZ3ViCMt7gjeCN1iOm\/MtlY5qkxOkw5mJzPgF49q+lu7bxR2zd2eGcDi0cOlbrklmdSMJSyNdycLrrB4JvwPDxrL6XQLFZ8OkxaOlPYMbXO2j3NY+RjO+kiid3UkYse6G42Nr2WGF29E08iri1md1iuurI+CuBViC+\/wBJLksA3kuG7pI3\/Mrb7z5F3cEidJV0zG7ztYjbdzSNvx6roDIdKgRiU8f2CKkg8sdJA0\/DdebHxPjXpaUm+KYm7j+6Mu7qjjB+JdADisR1aC+IjJdW+kgwrEIapwvE4Pp57cRFLlzOHSWua134pUh8WwjD8eowZI2TwTMzQzZbSMvcCSJ53sduPDoUUZRu8W9SU5N+JvqcJfFJv7FqJIGE8Swtjmb5tsR5FrVlqtSRmZGrT3CpqOeSmnFpad5jdfnAALHjqcwtcOpy8GN27yn41JHlLaDPqYfonSsL5admWqjYCXSQN72VoHFzLm4HtT\/ABVGyE7vN8IBW3B3Vzm4r51zl5gqXVAVcrmoWOVsqqrZELHXkPersMIHR411XHh1Fc0TOc8UBziUc2\/yFV24Htd\/jHzqreiytyg8QpTYOWKp39023WSFdV2dGSDexDvm+Irrupha9t3VxHmVrGjeA7iLWK2qddqLjJXTKtbTgRFatQsVKoiogMk1Xi+LYeP9oB8zHn5l9BuT4f3NVffA\/Qx\/sXz91Ti+MYf92efNBMfmX0B5Pn1PV\/d2\/omLl1vrsPyvzO1RX9tn+deRs9RC5ZEv7gxT+NV0jPNPCf1FL1Qw5aE4FHVC9jJiscY6y3byW80RPkWbFbZQX4kauBdo1H+BkSl3MGq2wVFPO4EtgqIJnAccsUrJHW67NK6aLeOc1dWJ7668CnxnAq+iossk9RFDJTjM0NmMNVT1TWNe4hoL2w5Q4kC7xfctW8lLV7i+E1VdWYjTPpI5KZlNFFK+Mumk2wldJlY5xDWBlrm19tuvY2wzVHygp8JpYsPxGldXUtOwRU80MjWVUMLRZkLmydxPG0Wa03aQAB3VhbNMc5UVEIz2DhdXJORZvZckMELT0u2LpHPA6Blv0hYbNbDy7wuLpwlQjFSjJ57u3s6Ti5R+NQQ6S6M53NHYM1NVVLjuEcMmIwWLnc1m0sruob+dbR18aNVWK4JWUNG1r6pxp5Yo3OazaGnqIpnRh7rBryxjgLkC9gSL3EKNLMeqsUq566sk2lRUOzPIGVgaAGsijZ7SNrAGhvQN5JuTufVlyjJaKnjo8WpJK1sDGxxVkEjRUmNgDWNnjlIbO8AW2ge0mwuHG7jLi1axsYjR1WEKUqW2VPNeu\/iZbyVNAcTwqXEKvEqV1GJ4oKeGKV0Ze8skdJI8tjccrR3AF7XzHoWO69atkmm+CsY4F1O\/AoZQDfLI7E5KkNPQdnPEbdDgvV0l5T1PsnDDMMqDOQQ2SufHHDGbGzzFTyPdNY27nMy\/ugtBUGkk30Vgxesc+qnZXU9fUEkNfM6Kojmcxp71lxHlaLWaA0AACyJO92Xw2GrzrTrVVZtWSJb8qX62q\/7pQf1hSrzuSH9bzfv6t+ONaw1ta9qbG8LqMMjw2pp31DqZwmknhexuwqYpzdrBc3EZHlXW1M67KfAMNGHy4fUVThUTz7WKaKNtpi0huV4vcZVGq9WxrrAVuZulq\/G1r2usrd5y64dU2kVdjWI1lJhr5qaonEkMoqqJge3YxMvllna5u9p4gLXml2rjG8IgFViNC6lp3SNhEjqiklBle17msywTPdvDH77W3LeXbQ0fvPWelU\/7Fg2uvXRT6QYeygiw+opXMqoanaSzRSNIijmYWZWC9ztQb9SsnI3MLUxq1YTppRVk302XrN96MfWjT\/8Apxv9VKPvJCxzsXGhSudaPEqWWADmM9OBVQk9ByR1DR908S93CdftNDg0WEHDKl0keGNw0ziohEZeKTsbahhFwy\/dW42WltD8YfhtbR10dy+iqIJ8oNi9sT2mSO54B7M7PE8qEtjK4fBVNStGatrt2y7be2xNzXj9b+MfeM\/5qgfN3p8R+IqQun\/KFpcUw2toGYXVQurKeSnbI+ohc2MyCwc5rRcgdAUe3i4I6QR5xZTBWMuiMNUoU5KorO\/Z1dhP\/SL2FqvwVUfIXqAEXejxD4lIzE+UdSS0MtEMKqmulo5KQSGogLWufTuhDyALloJvZR0aLADoACQTRGicNUoqamrazVsvInxqk9gsH\/BWH\/I4lpfkQVrMmK0t7SXoagC\/fMyTxOsP4rmsv90C6+hnKKpcPw+hoXYVVSuo6SmpHSNqIWtkdTwsiL2tIuGktvY9K0noDpTWYJVxV1E9rZowY3seC6KeF2XaQytBBdG7K07iCC1pFiAqqL2mtS0dUca0ZK2u01lts2+g3PyjNWGN1+NPraCifVwVcNM0OjkhaI5YYhA6OXaSNyDuGuzHubP47it+4ZF9CsHiZVyNd9DsMjbUyk9y7sOjDZXXPFp2bjvWo8M5TuHujBqsLrYprd02CSnniv8AxXyPidbxt8615ri141WNwOoKSnNBQSEbfNIJKqqa0hzY5C0BsMOYAljS4uyi7rXaVm9hh5riq+pSqRSjDp7N\/V1GnOEdjxDLH8lfQHDPYWL8FRfIWqALxcEdII86kXSco2kZQx0RwqqLmUbKTadkQZS5tOIc9rXy3F7K81c6GlsLUrKHJq+q3fLs6yOkHet8Q+ILf\/JQxBwZW08BjNYZI5YI5CAHN2T2vJuR3IAPOtARtsGjoAHmCyzVTpaMExSnxF0Uk8UInbLDG5rHytlgliADnbhle9jvxetVqQ142OrOTUJWSbs1Z5PZk+8lVpBh9fLieE1td2LHT0JrDG1l9saiogbGGg7RweDl3CwO7jzLuaTaTGK0TbFz5AMtxuFt9zzDpKvi0ngxGCKtEbW08bdtHJtWyAveywsABYtBctZ6T6T0ud9S94DGv2DHAXOdxI8ruPmXKqTetZHQ0TTcKC5SKpvbsWS2955EGhVPU40cQayMUNO41FWzg2SobvgiY3gc8ndOvzMPSsl0ilqcaqqfDGlzI5iZax28CPDont7Is4cHylzY23453HmWGYZpQJZBTQlwhD3PJ9tK88XOt0CwHUthfRKGkpnmne01c4YamYkEMa0HLE13DZsaXbhuzOcedHUlfab+pHbq9J4PKH0ubQ0X0Lpg2LbximjjjsGw0rBkcWgcBlAYPtupRocvf0\/x5+JVktS52ZoOyh37tjGXZSPtrl34yx1dOhDUhZ5nIr1NaWzI7sLtw8X7Fc0\/MuCN24eJcjXLOYTkJ3nxBezoW29dB0NkjJ48BI0nm6AupotSw1NbSQVEmygnqIIpZL2yxvka1xBPA2Nr811IPGtUtHTTx1OF5owwZZYJXGVsjbO3gvO53e+a6xyqKLszLCjKabRkWG4ZguK4c1jIIDmc+OeWJrGzMrGOLZ5C8C4fna43PEELTmmWgFdhz3ubG6opc3cTxtLu5PASNbvY7m6Ny87BsWxLAZpM8UkTJpJDLC8ERyAyOOZh4B3Q4cy3ZovpqySFsj2PbG4C4lY4WJ5iCN\/jWlKpKnLbkzq09sUuk1Johq7xPEXWbE6ni4madrmMAPuW2u4+JSS0MwCnwqjio4P9GLvebZppnfwkrrdJ5uYADmXmUullN3oc0e5H7AOZdiDFw512uBA74cCOG\/fxCVK0GidVsyJ57k3334jpCibygtDIsJro5KVoZSYgySWOICzYJYSxs0TLbhGdoxzRzZnDgApOnEWu51prlVkGjw+TdcVj2D7V9NI53wxtVqOIWsoo1sRS+I2zQER4jjb5xdXAX33tbpXHCd7j0gH4FVjrAk8N63zmgvy98Nx51eA3Lfjc8egK2E5o7Hp\/b+1cdP3kjeixHnsr9xU7DKZhF+BHDo8qoBY2tYjiOrpHSFRrtwR5vuvv5j0f9lLkmstoLyAd4\/YfgVzYrg23EeY9RXBG7d0OBsRzFcpfuB4by1w8atBK+0FomLDvG7gekePpCukaCC8cALlWZgQQeI5+kLrxykNezzeK4V41Ek4yy6OxixxIqXRaxYXREQGVaoRfGaD7eY+akqD8yn\/yfPqer+7s\/RtUBNTQvjVD46o+ahqT8yn1ye\/qer+7M\/RBcms\/l0PyvzO5R\/4yf515G0CoQctKT9zkdONSH8iKvb+spvuUEuWhL3MLed+KVj\/yWyD9dbNf6SHe\/A0cLsp1H2LxI0IiLdNEKoVFUIDmQKl1VAFW6oiArdFRVQBERAERezotoviGKPkZQUxqHQMEkp2sELGBzsrGmWokYwyuIdljBL3ZH2Byustchu2Z4yLfMepvDjT0bHy1dNWN7BmxF8kjZc7ZIWPxChhiiZkp52SPLWOcXWMTg8m4y+HrC1RTbSF+A0k80MsUr54pKylfsZ45C1kEDp3RyyyPZZzYfpj3e1Lt4bklQnFXaMEcVTlLVT27fYaiRAedFhNguCK1EBcqhURWBcitVQgKoiIDPtV+mRoWSUdQ5xoqgnMAd8UhsM7TzNtzL0MTomSRgGcGASGWO28km9rkc9itawv5vL5V7OCY0afuHt2kJNy0d809LCfFwK1K1C71o5m5QxFlqyyNhaG4eY3veeZpDGk24gjM49A4rn0lrmCjq27XKdjIGkEd04tIsOm\/DyrAcRxxh7yR4B9rcjyEBeLiOLPlbs79zcHzc3i\/YsEMNJy1mZp4iKi4o6F1YiLoHORe1y5GuXAr2lWIOQnipJan9NH4rSx0skwbXUgAlzlt6uIGzJW8O7y2aR0i\/OFGq69HDK6SDM+GR8UgYMrmPLXB20a4WI8SwV6KqRsZqNZ05XJc4jiNFI0wV0TQAN4kbuPNdpPzIMYw5nuX7t269x4go6zaycQlibFOWTFosJHCzuHtrbieG9XM1j1wjyRsgj3WzBhLreUrn81qHSWIgba0j0ippXjsaJrXNJAfk5\/Ebda8J2lcrXZH8xtdu6\/mWo5MeqJSXSu2jjzuJv5LcFbFjcjTwv1XKPByZaOLijeWG6UuuLPBHOtd69dK+zH01IxwLafaSyWsRtXgNYL9IZm\/LWMu0qka0gNsbcehYxPKZHlziSSbknismFwjhPWZgxeKjOOqjnZ3vXwVs7u5t1K0PsuF7rldM5h2qY9z5FewANdfi7\/7+ZcAV91KdgVzK1x3+NUO4hDxHUoBUm461yh1225+npt864m86XspjKwLuvqXFJ8KuMi4SUYCIigBEVCgM01ItvjNIfctqj\/0kzf1lPTk9fwNZ91j\/RqCOogfvxF1Q1R\/o7fOp28ns\/Sawf8Amxnzx\/8AZcar9fj+Xid+kv7XP8\/A2iVALlnzEy0LOZ1Ri0p6btfStb8ErlP0r558sKW9Vh46q9\/5c0A\/VW7W+lh\/t4HNw\/0FT\/XxNEIiLcNIIiIDlCAqiIC66qrVUICqIiArdLqioSgLlv8A5P8Ao++mw6TEttJJFibTG6mFM3seCairJYopXVWck1GQVIEYa0ZasXzbl4mr\/U\/DLSsrMYfU07i98pow+ljZ2F2PE6CSqn2uahEk9Qy5flc0QOYWXe1zdhaLaGYdo\/FiNT2fVRwTOOcVkcggoqNs0MrWuFO97JKmTPh7WyyNbn7Gflc0OstmhBxkpNbP3tNLE1YyhKEXt7vYYBrc1iYjQV5oKB0VMymipnSSOpqWplqZamlgq8zuy4niKJjZ2sDGAXylzi7MA3YurjHn4hRUeIPhbHUTtqI3siizxiqhlmpmVEEDzZ7cwil2ROUva9u5tgK47obh+MOjlnouz3MhgdDUwOrIJH0szGz07JdiWFzMstw17c7cxaCALD0cLlw+jfQURno6IVDH09BQE1EYkgL3U8sUUsfdMne+Z9nGQSOe90heHEOdsxjKMm5PY+3ry7jRnOEoRjCPxl2ZWz7zUOL6kMRfVTns+me11VAHS1LXU9VKKmKlqq2ofC6R8UUsPZtzE+YPk2bi3e6MScWkWpOq2n71VEdRTmAPaK2aGCqkq9rM00UUUOa7jHHE8SSCKP6cGl9xv2jrS0glosPrK+lbG6WIU5YHRwvippKySngmqJWxsENSYSWQh5BY8tp7hzGhixrUvpfXYpDWmuEMrqR9PG2dtNBC2WOsjq2zUtRDCxsEoyRXHcAlskofmBZbC6NPW1Xe7NlYiq4a6tqrf0XZHhpuARwO8Is4150VPTYxPDS0nYkTI6duVsMUEFQ4My9mUsMBMTKaVoaRlPdFr3ENLi0YOtJqzsdGLukyoVVaigkuVQrFcrArdVVqqCgKgq7jz2KtRAUffnVivKplQFqqArgFVRYm5YUCOVWhQQVsuYjc08x4+NcQC53uJyNPBt\/KTznrUkrMverxwSVqqAqGxbaUYqScVWyOQk45+YrgkZv3cN3kubLsvbcLijmsyVh9uxoHjZKx3xBysjFNHA4KgK5HhWFqsYgHlXCVWBqrkQHOHA23qmYKxjVe0cfEVeMb5gXVkhXOGiy4JeKtOGqrkItRFS6xElUVLqiAFERAZ9qCH77s6qWpP6MfOp1cnr+CrPusX6MqDPJ9F8WPVR1B\/pIB86nJyev4Ot+6Q\/mOXFqP+4R\/LxPRU1\/apfm80bUdwP8AnmXzh5WU+avoW34Ukkluja1Dhfy7P4F9HJTYE9AJ8wXzV5Ujr4tTj3OG04\/6msd+st+f00e6Xkcmi7UJ98fM1OiIts0wiIgORERAAqqiICqqCqIgLla8biBxIIVypdASeqqCj0owKnZBNUUkH0jI1zoqqenmwtk1OaeSKWq2tdFspnv3vbI1uwkIawBh8vW9JT4LgDMGfJVOnqYGUdG9ojzSx4fUU0tTJVTtlOSleamVghYJG3gjjzDYkqP2FV89JKyppZpaapjzbOop5HQzMzscx2WWMhzbsc5psd4cQuu4km5JJN7kkkm5LjcneblxPjcTzrM6uzLba1+w1lh7Sz2Xvbt2mU1OsHGJKWlo3VsgioZIZaZ7LMqGOpmOjpQ+dvdyMia4hjX3yrr6V6Z4jik8NVVzjbUoApthGynZT5ZNqDDHHYRu2gDt3OLrHkWHWZnUIp3sSQ1f6zKKup8PhxHEHnFqiSWhm2lNGWPfPUzmF9TJ3EAw90EsMRvmILnAtLWkr1sZ0vwbCm1FKaukp6mip5JWUFNQwdjiqq6eQwClipR2NPUh\/Y75GyNY3e0OcQHWi0bFUaANwAA6BuWdYmSVvb0mq8HByvt67dG49TSjHqrE6mStrHMdUSiNrtmxsUTGxRtijjiiYA2ONrWAWA6TxJK8xEWs3c20rbAiIhIVbqiIC5Faq3VgVREQFypdURAXIrUQFQ3erwEYNyuQBg3+UDz7l2KiEtlyOvmba4PEXsQD12VlKwFwB3Dn8m\/5leGESvBOYggEk3uR186hloLac07VQBctSOHiCsVDca2lhCoArnKl0K2K2XRkb3R8TvgBPzLv3V+CNaX1GYXtR1pZuvZ+wcAfMXb1KMdXI80cB4ggCo07h4lUFXNcWRFcApSuCrxwKofmVWjiPMjbWPiKzWKlzT0C5XBLe5vxXYa9cE\/feb4lNW2qiUcaIrVrklytREBW6oiIDY\/J3H76SdVFOf6elHzqcHJ7P0ut+3g\/Mf8AsUIuTp7JznooJvhqqNTc5PXeV320H5si4c3\/AHCPdxPSQX9pl+bzRs+r7x9t5yPsBxJylRM0z1NU+MVAq6ykxTbCJkP0kSxtyRlxb3OyO+73LXnbqaU+9+j\/AKLiPrFU7dPSn3v0f9FxH1iujWw7qSUlJxavl2nGw2JVKLi4qads+z+TKhyb8N8Exn8qX+4TtbsO8Dxnzzf3CxXt09Kfe\/R\/0XEfWKdunpT736P+iYj6xWPmtT7yRm57T+6iZWOTbh\/geNeeb+4Vw5NWH+B4z+VIPjgWJduppT736P8AouI+sU7dTSn3v0f9FxH1ip5rP05Ec9h93EzAcmig8Dxj+Ud\/dK4cmWh8Dxb+WP8AdrDe3U0p979H\/RMR9Yp26elPvfo\/6LiPrFOaz9OQ57D7uJmg5MNH4Hi38v8A\/wA1cOS\/R+B4r6SP7Cwnt1NKfe\/R\/wBFxH1inbqaU+9+j\/ouI+sU5rP02Rz2P3cdz4mcDkuUngeKelM\/sqo5LdL4HifpcfzhYN26mlXvfo\/6LiPrFO3U0q979H\/RcR9YpzWXpy3rgOex+7jufEzsclim8DxL02FXDkrU3geI+nU\/zrAu3U0q979H\/RcR9Yp26mlXvfo\/6LiPrFTzWXpy3rgRz2P3cdz4mejkq0\/geIfzhTK7tVKfwTEP5wpv2rAO3U0q979H\/RcR9Yp26mlXvfo\/6LiPrFOay9OW9cCOeL7uO58TYA5KVP4JiH84U37VUclCn8Grh\/xCnWvu3U0p979H\/RcR9Yp26mlPvfo\/6LiPrFTzZ+nLeuBHPPwR3PibEHJPpvB63+cIf7KqOSbTfYaz+cIvmYtd9uppV4Bo\/wCi4j6xTt1NKvANH\/RcR9Ypzd+lLf7iOd\/gju95scck2l+xVf8AODP7Cr2pdL9jqf5wH92tb9uppV4Bo\/6LiPrFO3U0q8A0f9FxH1ip5u\/Slv8AcOd\/gju95spvJKpPcT+XEP2RK8ckmj9xL\/OL\/wC6Wsu3U0p979H\/AEXEfWKduppT4Bo\/6LiPrFOb\/ie8jnf4Y7jZ45JFF0P\/AJwk\/uFd2o9F0P8AT5v7hau7dTSn3v0f9FxH1inbqaU+9+j\/AKLiPrFW5v8Aie8c6fox\/SbSHJGov4\/84T\/3CDkiUPSf5wqP8MtW9uppT736P+i4j6xTt1NKfe\/R\/wBFxH1inIfie8jnL9GP6Tag5IlD7o+nz\/4ZXDkiYf7t3p0\/9wtUduppT4Bo\/wCi4j6xTt1NKfANH\/RcR9YqeQ\/E95HOH1L9KNsjkh4d9kk9Mm\/uVUckLDfssvpc390tTduppT736P8AouI+sU7dTSn3v0f9FxH1io5D8T3kc4fUv0o24OSFhn2aX0mX+wr28kLCueaY\/wDuJvmAWn+3U0q979H\/AEXEfWKduppV736P+i4j6xU8gut72OXfUv0o3IOSJhPDby\/y8\/7VUckTCPs838tP\/aWm+3U0q979H\/RcR9Yp26mlXvfo\/wCi4j6xTkV1ve+I5w+pfpXA3TDySMIa7MKmYHf7eY8QQdxk6CVcOSPg+Yu7Knu7ee6l+LablpTt1NKve\/R\/0TEfWKduppT4Bo\/6LiPrFTyK63vfELESWSX6VwN3u5JeDnjV1HRu2n96naj4L4XU\/wBJ\/fLR\/bqaU+9+j\/ouI+sVXt1NKfe\/R\/0XEfWKciut73xJeKn2fpXA3f2o+Cc9XU\/0n98ru1GwPwqr\/Kf\/AHq0b26mlPvfo\/6LiPrFO3U0p979H\/RcR9YpyS7d74kc5n2fpXA3n2pGA+FVn5bv7a5aHknYDC5z2VNbd7JYnXkcQWTMMbxYv45XHetD9uppT736P+i4j6xTt1NKfe\/R\/wBFxH1ircmu3e+JDryedty4G9GckTRwD+Grj17Z\/wAzleOSLo39lr\/SH\/tWiO3U0p8A0f8ARcR9Yp26mlPgGj\/ouI+sU1F1ve+JXlH2blwN8DkjaM\/ZMQ9JerhyR9GPsmI+lOWhu3U0p8A0f9FxH1inbqaU+AaP+i4j6xU6va974kco+zcuBvrtR9Fud+J+SsI\/UVe1H0V91ifptv8A41oPt1NKve\/R\/wBFxH1inbqaVe9+j\/ouI+sVO3re98SNd9S3Lgb97UfRT3WK+nW\/+NHckXRM8Tinp3\/8loLt1NKve\/R\/0XEfWKduppV734B6LiPrFTt63vIv+7I36OSLoj\/\/AKp\/9\/8AsiVw5JGiPucTP\/EH\/wBhaA7dTSr3v0f9FxH1inbqaVe9+j\/ouI+sVFibkgxySdEPseJH\/iEv7FcOSZof9hxA\/wDEZ\/mUeu3U0q979H\/RcR9Yp26mlXvfo\/6LiPrFLFbkiByTtDvB68\/8Rqf2q4clHQ3wWtP\/ABKr+Z6jr26mlXvfo\/6LiPrFO3U0q979H\/RcR9YqQSVwrk46P4ftJcLZVUtU+MxCV9VNUsylzHlropnEEFzG7xYi3HiDkup\/AarDnV0NVHlJdAWPb3UcotKC6N\/OOG4gEXFwLhRFHLT0p979H\/RcR9YoOWnpT734B6LiPrFa8sLB1FV+0vb0G3DGVI0ZUfsy29zuns3EZkRFsGoEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBERAEREAREQBE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width=\"300px\" alt=\"qu\u00e9 es cient\u00edfico de datos\"\/><\/p>\n<p>Esto incluye un dominio s\u00f3lido de lenguajes de programaci\u00f3n como Python, R o SQL, as\u00ed como conocimientos de estad\u00edstica, matem\u00e1ticas y machine learning. La capacidad para comunicar eficazmente los hallazgos a audiencias no t\u00e9cnicas y trabajar en equipos interdisciplinarios tambi\u00e9n son habilidades esenciales en este campo. El uso de tecnolog\u00edas de c\u00f3digo abierto est\u00e1 muy generalizado en los conjuntos de herramientas de ciencia de datos. Cuando est\u00e1n alojadas en el cloud, los equipos no necesitan instalarlas, configurarlas, mantenerlas ni actualizarlas localmente.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>La inteligencia empresarial (BI) suele ser un t\u00e9rmino general para la tecnolog\u00eda que permite la preparaci\u00f3n, la miner\u00eda, la gesti\u00f3n y la visualizaci\u00f3n de datos. Las herramientas y los procesos de inteligencia empresarial permiten a los usuarios finales identificar insights accionables a partir de datos en bruto, lo que facilita la toma de decisiones basada [&#8230;]\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/benhvienmatquangduc.vn\/index.php?rest_route=\/wp\/v2\/posts\/3099"}],"collection":[{"href":"https:\/\/benhvienmatquangduc.vn\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/benhvienmatquangduc.vn\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/benhvienmatquangduc.vn\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/benhvienmatquangduc.vn\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3099"}],"version-history":[{"count":1,"href":"https:\/\/benhvienmatquangduc.vn\/index.php?rest_route=\/wp\/v2\/posts\/3099\/revisions"}],"predecessor-version":[{"id":3100,"href":"https:\/\/benhvienmatquangduc.vn\/index.php?rest_route=\/wp\/v2\/posts\/3099\/revisions\/3100"}],"wp:attachment":[{"href":"https:\/\/benhvienmatquangduc.vn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3099"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/benhvienmatquangduc.vn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3099"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/benhvienmatquangduc.vn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3099"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}