{"id":102296,"date":"2025-05-22T16:14:12","date_gmt":"2025-05-22T09:14:12","guid":{"rendered":"https:\/\/www.gramedia.com\/best-seller\/?p=102296"},"modified":"2025-07-31T19:50:37","modified_gmt":"2025-07-31T12:50:37","slug":"machine-learning-what-is-ml-and-how-does-it-work","status":"publish","type":"post","link":"https:\/\/www.gramedia.com\/best-seller\/machine-learning-what-is-ml-and-how-does-it-work\/","title":{"rendered":"Machine Learning: What is ML and how does it work?"},"content":{"rendered":"<p><div id=\"ez-toc-container\" class=\"ez-toc-v2_0_17 counter-hierarchy counter-decimal ez-toc-grey\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" style=\"display: none;\"><i class=\"ez-toc-glyphicon ez-toc-icon-toggle\"><\/i><\/a><\/span><\/div>\n<nav><ul class=\"ez-toc-list ez-toc-list-level-1\"><li class=\"ez-toc-page-1 ez-toc-heading-level-1\"><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.gramedia.com\/best-seller\/machine-learning-what-is-ml-and-how-does-it-work\/#How_Does_Machine_Learning_Work\" title=\"How Does Machine Learning Work?\">How Does Machine Learning Work?<\/a><ul class=\"ez-toc-list-level-3\"><li class=\"ez-toc-heading-level-3\"><ul class=\"ez-toc-list-level-3\"><li class=\"ez-toc-heading-level-3\"><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.gramedia.com\/best-seller\/machine-learning-what-is-ml-and-how-does-it-work\/#What_is_Machine_Learning_Bias_Definition_from_WhatIs_-_TechTarget\" title=\"What is Machine Learning Bias?  Definition from WhatIs &#8211; TechTarget\">What is Machine Learning Bias?  Definition from WhatIs &#8211; TechTarget<\/a><\/li><\/ul><\/li><li class=\"ez-toc-page-1 ez-toc-heading-level-2\"><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.gramedia.com\/best-seller\/machine-learning-what-is-ml-and-how-does-it-work\/#Which_Language_is_Best_for_Machine_Learning\" title=\"Which Language is Best for Machine Learning?\">Which Language is Best for Machine Learning?<\/a><ul class=\"ez-toc-list-level-3\"><li class=\"ez-toc-heading-level-3\"><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.gramedia.com\/best-seller\/machine-learning-what-is-ml-and-how-does-it-work\/#How_to_explain_machine_learning_in_plain_English_-_The_Enterprisers_Project\" title=\"How to explain machine learning in plain English &#8211; The Enterprisers Project\">How to explain machine learning in plain English &#8211; The Enterprisers Project<\/a><\/li><\/ul><\/li><li class=\"ez-toc-page-1 ez-toc-heading-level-2\"><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.gramedia.com\/best-seller\/machine-learning-what-is-ml-and-how-does-it-work\/#Whats_the_difference_between_machine_learning_and_AI\" title=\"What&#8217;s the difference between machine learning and AI?\">What&#8217;s the difference between machine learning and AI?<\/a><\/li><li class=\"ez-toc-page-1 ez-toc-heading-level-2\"><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.gramedia.com\/best-seller\/machine-learning-what-is-ml-and-how-does-it-work\/#Contents\" title=\"Contents\">Contents<\/a><\/li><li class=\"ez-toc-page-1 ez-toc-heading-level-2\"><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.gramedia.com\/best-seller\/machine-learning-what-is-ml-and-how-does-it-work\/#AI_vs_machine_learning_vs_deep_learning\" title=\"AI vs. machine learning vs. deep learning\">AI vs. machine learning vs. deep learning<\/a><\/li><li class=\"ez-toc-page-1 ez-toc-heading-level-2\"><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.gramedia.com\/best-seller\/machine-learning-what-is-ml-and-how-does-it-work\/#Top_20_Applications_of_Deep_Learning_in_2024_Across_Industries\" title=\"Top 20 Applications of Deep Learning in 2024 Across Industries\">Top 20 Applications of Deep Learning in 2024 Across Industries<\/a><\/li><li class=\"ez-toc-page-1 ez-toc-heading-level-2\"><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.gramedia.com\/best-seller\/machine-learning-what-is-ml-and-how-does-it-work\/#Artificial\" title=\"Artificial\">Artificial<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h1><span class=\"ez-toc-section\" id=\"How_Does_Machine_Learning_Work\"><\/span>How Does Machine Learning Work?<span class=\"ez-toc-section-end\"><\/span><\/h1>\n<\/p>\n<p><img class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"305px\" alt=\"how does ml work\"\/><\/p>\n<p><p>The asset manager may then make a decision to invest millions of dollars into XYZ stock. Thanks to cognitive technology like&nbsp;natural language processing, machine vision, and&nbsp;deep learning, machine learning is freeing up human workers to focus on tasks like product innovation and perfecting service quality and efficiency. When choosing between machine learning and deep learning, consider whether you have a high-performance GPU and lots of labeled data. If you don\u2019t have either of those things, it may make more sense to use machine learning instead of deep learning. Deep learning is generally more complex, so you\u2019ll need at least a few thousand images to get reliable results. Use classification if your data can be tagged, categorized, or separated into specific groups or classes.<\/p>\n<\/p>\n<div style='border: grey dashed 1px;padding: 10px;'>\n<h3><span class=\"ez-toc-section\" id=\"What_is_Machine_Learning_Bias_Definition_from_WhatIs_-_TechTarget\"><\/span>What is Machine Learning Bias?  Definition from WhatIs &#8211; TechTarget<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>What is Machine Learning Bias?  Definition from WhatIs.<\/p>\n<p>Posted: Tue, 14 Dec 2021 22:27:30 GMT [<a href='https:\/\/news.google.com\/rss\/articles\/CBMiaGh0dHBzOi8vd3d3LnRlY2h0YXJnZXQuY29tL3NlYXJjaGVudGVycHJpc2VhaS9kZWZpbml0aW9uL21hY2hpbmUtbGVhcm5pbmctYmlhcy1hbGdvcml0aG0tYmlhcy1vci1BSS1iaWFz0gEA?oc=5' rel=\"nofollow\">source<\/a>]\n<\/div>\n<p><p>It is also likely that machine learning will continue to advance and improve, with researchers developing new algorithms and techniques to make machine learning more powerful and effective. There are a variety of machine learning algorithms available and it is very difficult and time consuming to select the most appropriate one for the problem at hand. Firstly, they can be grouped based on their learning pattern and secondly by their similarity in their function. Say&nbsp;mining company XYZ just discovered a diamond mine in a small town in South Africa. A machine learning tool in the hands of an asset manager that focuses on mining companies would highlight this as relevant data. This information is relayed to the asset manager to analyze and make a decision for their portfolio.<\/p>\n<\/p>\n<p><h2><span class=\"ez-toc-section\" id=\"Which_Language_is_Best_for_Machine_Learning\"><\/span>Which Language is Best for Machine Learning?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<\/p>\n<p><p>Machine learning algorithms are trained to find relationships and patterns in data. In an artificial neural network, cells, or nodes, are connected, with each cell processing inputs and producing an output that is sent to other neurons. Labeled data moves through the nodes, or cells, with each cell performing a different function. In a neural network trained to identify whether a picture contains a cat or not, the different nodes would assess the information and arrive at an output that indicates whether a picture features a cat.<\/p>\n<\/p>\n<div style='border: black dashed 1px;padding: 10px;'>\n<h3><span class=\"ez-toc-section\" id=\"How_to_explain_machine_learning_in_plain_English_-_The_Enterprisers_Project\"><\/span>How to explain machine learning in plain English &#8211; The Enterprisers Project<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p>How to explain machine learning in plain English.<\/p>\n<p>Posted: Mon, 29 Jul 2019 11:06:00 GMT [<a href='https:\/\/news.google.com\/rss\/articles\/CBMiV2h0dHBzOi8vZW50ZXJwcmlzZXJzcHJvamVjdC5jb20vYXJ0aWNsZS8yMDE5LzcvbWFjaGluZS1sZWFybmluZy1leHBsYWluZWQtcGxhaW4tZW5nbGlzaNIBAA?oc=5' rel=\"nofollow\">source<\/a>]\n<\/div>\n<p><p>The rapid evolution in Machine Learning (ML) has caused a subsequent rise in the use cases, demands, and the sheer importance of ML in modern life. This is, in part, due to the increased sophistication of Machine Learning, which enables the analysis of large chunks of Big Data. Machine Learning has also changed the way data extraction and interpretation are done by automating generic methods\/algorithms, thereby replacing traditional statistical techniques. At a high level, machine learning is the ability to adapt to new data independently and through iterations. Applications learn from previous computations and transactions and use \u201cpattern recognition\u201d to produce reliable and informed results.<\/p>\n<\/p>\n<p><h2><span class=\"ez-toc-section\" id=\"Whats_the_difference_between_machine_learning_and_AI\"><\/span>What&#8217;s the difference between machine learning and AI?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<\/p>\n<p><p>For example, a Bayesian network could represent the probabilistic relationships between diseases and symptoms. Given symptoms, the network can be used to compute the probabilities of the presence of various diseases. Bayesian networks that model sequences of variables, like speech signals or protein sequences, are called dynamic Bayesian networks. Generalizations of Bayesian networks that can represent and solve decision problems under uncertainty are called influence diagrams.<\/p>\n<\/p>\n<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"309px\" alt=\"how does ml work\"\/><\/p>\n<p><p>Financial monitoring to detect money laundering activities is also a critical security use case. The most common application is Facial Recognition, and the simplest example of this application is the iPhone. There are a lot of use-cases of facial recognition, mostly for security purposes like identifying criminals, searching for missing individuals, aid forensic investigations, etc.<\/p>\n<\/p>\n<p><h2><span class=\"ez-toc-section\" id=\"Contents\"><\/span>Contents<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<\/p>\n<p><p>Trained models derived from biased or non-evaluated data can result in skewed or undesired predictions. Bias models may result in detrimental outcomes thereby furthering the negative impacts on society or objectives. Algorithmic bias is a potential result of data not being fully prepared for training. Machine learning ethics is becoming a field of study and notably be integrated within machine learning engineering teams.<\/p>\n<\/p>\n<p><a href=\"https:\/\/www.metadialog.com\/blog\/how-does-ml-work\/\"><\/p>\n<figure><img src='https:\/\/www.metadialog.com\/wp-content\/uploads\/feed_images\/how-to-use-ai-in-customer-service-3-use-cases-img-4.webp' alt='how does ml work' class='aligncenter' style='display:block;margin-left:auto;margin-right:auto;' width='407px'\/><\/figure>\n<p><\/a><\/p>\n<p><p>Recommendation engines, for example, are used by e-commerce, social media and news organizations to suggest content based on a customer&#8217;s past behavior. Machine learning algorithms and machine vision are a critical component of self-driving cars, helping them navigate the roads safely. In healthcare, machine learning is used to diagnose  and suggest treatment plans.<\/p>\n<\/p>\n<p><h2><span class=\"ez-toc-section\" id=\"AI_vs_machine_learning_vs_deep_learning\"><\/span>AI vs. machine learning vs. deep learning<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<\/p>\n<p><p>After spending almost a year to try and understand what all those terms meant, converting the knowledge gained into working codes and employing those codes to solve some real-world problems, something important dawned on me. Some notable examples include the deep-fake videos, restoring black and white photos, self driving cars, video games AIs, and sophisticated robotics (e.g. Boston Dynamics). Statistics, probability, linear algebra, and algorithms are what bring ML to life. This mode of learning is great for surfacing hidden connections or oddities in oceans of data. Whether you\u2019ve found yourself in need of knowing AI or have always been curious to learn more, this will teach you enough to dive deeper into the vast and deep AI ocean.<\/p>\n<\/p>\n<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\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\" width=\"308px\" alt=\"how does ml work\"\/><\/p>\n<p><p>In common ANN implementations, the signal at a connection between artificial neurons is a real number, and the output of each artificial neuron is computed by some non-linear function of the sum of its inputs. Artificial neurons and edges typically have a weight that adjusts as learning proceeds. The weight increases or decreases the strength of the signal at a connection. Artificial neurons may have a threshold such that the signal is only sent if the aggregate signal crosses that threshold. Different layers may perform different kinds of transformations on their inputs.<\/p>\n<\/p>\n<p><h2><span class=\"ez-toc-section\" id=\"Top_20_Applications_of_Deep_Learning_in_2024_Across_Industries\"><\/span>Top 20 Applications of Deep Learning in 2024 Across Industries<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<\/p>\n<p><p>Rule-based machine learning is a general term for any machine learning method that identifies, learns, or evolves &#8220;rules&#8221; to store, manipulate or apply knowledge. The defining characteristic of a rule-based machine learning algorithm is the identification and utilization of a set of relational rules that collectively represent the knowledge captured by the system. Several learning algorithms aim at discovering better representations of the inputs provided during training.[52] Classic examples include principal component analysis and cluster analysis. This technique allows reconstruction of the inputs coming from the unknown data-generating distribution, while not being necessarily faithful to configurations that are implausible under that distribution.<\/p>\n<\/p>\n<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"306px\" alt=\"how does ml work\"\/><\/p>\n<p><p>These algorithms help in building intelligent systems that can learn from their past experiences and historical data to give accurate results. Many industries are thus  applying ML solutions to their business problems, or to create new and better products and services. Healthcare, defense, financial services, marketing, and security services, among others, make use of ML. The early stages of machine learning (ML) saw experiments involving theories of computers recognizing patterns in data and learning from them.<\/p>\n<\/p>\n<p><h2><span class=\"ez-toc-section\" id=\"Artificial\"><\/span>Artificial<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<\/p>\n<p><p>If the prediction and results don\u2019t match, the algorithm is re-trained multiple times until the data scientist gets the desired outcome. This enables the machine learning algorithm to continually learn on its own and produce the optimal answer, gradually increasing in accuracy over time. Chatbots trained on how people converse on Twitter can pick up on offensive and racist language, for example. The importance of explaining how a model is working \u2014&nbsp;and its accuracy \u2014&nbsp;can vary depending on how it\u2019s being used, Shulman said. While most well-posed problems can be solved through machine learning, he said, people should assume right now that the models only perform to about 95% of human accuracy.<\/p>\n<\/p>\n<ul>\n<li>A major part of what makes machine learning so valuable is its ability to detect what the human eye misses.<\/li>\n<li>Companies and organizations around the world are already making use of Machine Learning to make accurate business decisions and to foster growth.<\/li>\n<li>Machine learning can analyze images for different information, like learning to identify people and tell them apart \u2014\u00a0though facial recognition algorithms are controversial.<\/li>\n<li>When an enterprise bases core business processes on biased models, it can suffer regulatory and reputational harm.<\/li>\n<li>The application of Machine Learning in our day to day activities have made life easier and more convenient.<\/li>\n<\/ul>\n<p><p>Because the asset manager received this new data on time, they are able to limit their losses by exiting the stock. Over the last couple of decades, the technological advances in storage and processing power have enabled some innovative products based on machine learning, such as Netflix\u2019s recommendation engine and self-driving cars. While the former implies that the general sample size of datasets has increased drastically, the later proves that the complexity in which you can model processes today can increase. The ML approach you used works because when you try and model the process, you balanced the model complexity with the sample size you had (with reasonable tolerance) so that the probability of failure is minimized.<\/p>\n<\/p>\n<ul>\n<li>This is the kind of AI that you see every day \u2013 AI that excels at a single specific task.<\/li>\n<li>Machine Learning has also changed the way data extraction and interpretation are done by automating generic methods\/algorithms, thereby replacing traditional statistical techniques.<\/li>\n<li>If you model a process, you can predict the process output by calculating the model output.<\/li>\n<li>For example, an algorithm would be trained with pictures of dogs and other things, all labeled by humans, and the machine would learn ways to identify pictures of dogs on its own.<\/li>\n<\/ul>\n<p><p>The unlabeled data are used in training the Machine Learning algorithms and at the end of the training, the algorithm groups or categorizes the unlabeled data according to similarities, patterns, and differences. The labelled training data helps the Machine Learning algorithm make accurate predictions in the future. For instance, it could tell you that the photo you provide as an input matches the tree class (and not an animal or a person). To do so, it builds its cognitive capabilities by creating a mathematical formulation that includes all the given input features in a way that creates a function that can distinguish one class from another.<\/p>\n<\/p>\n<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width=\"309px\" alt=\"how does ml work\"\/><\/p>\n<p><p>For example, a computer may be given the task of identifying photos of cats and photos of trucks. For humans, this is a simple task, but if we had to make an exhaustive list of all the different characteristics of cats and trucks so that a computer could recognize them, it would be very hard. Similarly, if we had to trace all the mental steps we take to complete <a href=\"https:\/\/www.metadialog.com\/blog\/how-does-ml-work\/\">how does ml work<\/a> this task, it would also be difficult (this is an automatic process for adults, so we would likely miss some step or piece of information). These prerequisites will improve your chances of successfully pursuing a machine learning career. For a refresh on the above-mentioned prerequisites, the Simplilearn YouTube channel provides succinct and detailed overviews.<\/p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Table of Contents How Does Machine Learning Work?What is Machine Learning Bias? Definition from WhatIs &#8211; TechTargetWhich Language is Best for Machine Learning?How to explain machine learning in plain English &#8211; The Enterprisers ProjectWhat&#8217;s the difference between machine learning and AI?ContentsAI vs. machine learning vs. deep learningTop 20 Applications of Deep Learning in 2024 Across [&hellip;] <a class=\"g1-link g1-link-more\" href=\"https:\/\/www.gramedia.com\/best-seller\/machine-learning-what-is-ml-and-how-does-it-work\/\">More<\/a><\/p>\n","protected":false},"author":185533000,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":[],"categories":[1985],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v17.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Machine Learning: What is ML and how does it work? - Best Seller Gramedia<\/title>\n<meta name=\"description\" content=\"Berikut ini adalah ulasan lengkap seputar Machine Learning: What is ML and how does it work? dari Gramedia. 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kb7tv7KIb16FZVDhTcJ\/iJX5IDSsqzxp2E7f6iV+SKS1pt\/qM\/j9JJa7Wl7tqfH6RWntuXK5c0XfR2RsT\/AAo+WNnQtu\/KmWqQdcr0iE7p4uj5YRL0Kyptb0Mwn+Jlvkg9CcqfuZhL8RK\/JFOVN9hn\/P5FeW6XD+janx+k2+1DtiZb41NKNMrUm4GG3ArdcHNQt8UJjk\/tZ5eYKxK\/UqrVJdLbrYQO2I7c0nKoi3obhP8AEyvyQeheVdjem4S1\/wAhLfJFmes3altfYZ\/z+Rdhr0nCOystqfH6RVqT0j+SUogIXXZZPljdtdJjkWmwOIJU+WEO9CcqvubhPysy3yQehWVX3Mwj+IlouLWjJfqM\/wCfyIy14uXHLanx+kXcdJtkV93pb34orpNsi0i4rTR8sIT6F5VfczCP4iWivoZlX9zcJ\/iZb5Iktacl+oz+P+hDluv\/ANMqfH6RbZnpRciJVN3Kskj\/ABReLLfSnZCui6Kx5C2RCL+hWVWv9TcJ6\/5GW+SAUrKsepp2Ex\/uJX5IryqS7DP4\/wChTlt\/8bU+P0i0q6UbItQ7NTT5Bb88eE9JvkxNHdl6ik+2QIRr0Lys+5uEvxEt8kUNLyrPGm4S\/ESvyRHlSl2Gf8\/kSWu+3DLKnx+kWr9kNyonFJLc\/LFRIFutAjuMM7T2DcbMhFNcS51gtosWhrqaRlUtQbbpmEytZ3QAzKkknlwjmceYTpuAaeMd4IlG6Q7SnW3ZuWlE9Ww\/LqWAs7g7KVJvvbwHBJHdGblmsrD43FwweJw8qW27Jvfve77jcZHrnweY5hSwGMwk6PpGkm96u+HQun+I8\/rkTCzMNnsrJIjIZAtHEZX176I8Mys8F7xUhJ43vcR2zREdF2WdxRdjxMOhmXceUUhKElRKvELx6PC8Y9SHWU2bRc6srFr94MVCXQxneX+H3JWnzk\/UXFuVHE1SmKtNOnVSi64ooCvaSR+WF+wlgimyckw2ZZCllALiigG5OphLZVLyqiyiXbBDe6mwOgCRwhe6J1gl2SSB2B8UafETblc9\/lFGMKaiug3VGpVJlrNtyDSd03vuDjHUSsum1m20HeHACOYlnT12igbaaR2eG0IVMsuug7qTFujz5WLmYv0UNszGaM9NtpDMusC3G2ka+p0WaSlKXQU717pPMQrDM1KNSYdAQhKU3IAjjKlv1GdVNuKSlCdQPFG0r0Ywha92zyuEzOrVqO6skMA2+8rKfTMKSNcp8k0xMzk+EPLtqsWuDBHQdINi2UVI0+nzDjaGGZkHdWbC9u\/3jBFaN9nmvcXsdU2qu1UW9pXKZcliTc3eqCWkqvupAuSqxN7Du+PlDoMCYkdSzYLcSlNjdYJuSOMN+yxozjlURJzCQgKKUC377W53vfEOTp9NkqfJNS7CAlttIFuJPjJ5mMDEPnXXEzKEU6bjJbmdq\/UvRKTCgq9hbs6G8ctVUNONrC3gkHiTyjSYrx9J4BorlWnUKfN9xllBF1qPAa6cjDLM2M2M6akl6uyuIHaLKvb7jTaXEttNN3NipZAJ05jxRCzr8RhsL9mu1wQ7iqmRk2lkzbak7vAqAjQu1SSlQCXkG4CkpBvpaGC5ZPZn5w42boVGx9VqrNNKU4oIfV1RTzVe97C2twOUO+n8h8wqNlZWlS+JF1DEfgD3gral7qUPbhKU73jOlyIszw2xK1zd0sdeHO\/w3iCbQ+0I65XPoIwCUPzi0qROzCFgBix4BXAHx3iQrZpdxRMZDYMm8ZTq5yru01tT0wte8txJJ6sqJ1J3N3U8YiFwBkpMYwraKvWJx2XnJZ1xmdlHV9vribb19Dca+0be1EyWSE0xN5WYcaYc3vApJuSUCsqKS0kIsSeOgGp1jfUoRpRUYngsznVrTdWa3NndhPPvjIQk3Htxa3LjSLqCd8AxeNQxpHSLurZygrG4oi8m5wP+LCFVw\/8AgColJP8AaZ3zBhcekXH9Z+qnulHD\/wAphDa79YFR9xnfMGOT61OOA778hwHXdvlli\/vJeQiY8Kmf4dz8IxTwqa5TDv4Zi0rjFACeEdfsuo7rsR6i94VN+yHPwzB4VN+yHPwzFrdMUAubQsuobEeoveFTfshz8MweFTfshz8Mxa3VXsRrAUkcRCy6hsR6i74VN+yHPwzB4VN+yHPwzFkpIFyIIWXUNiPUXvCpv2Q5+GYPCpv2Q5+GYsxXdNr2hZdQ2I9Rd8Km\/ZDn4Zg8Km\/ZDn4Zi0EqPAXgKSOMLLqGxHqLvhU37Ic\/DMHhU37Ic\/DMWQL8IN0iFl1DYj1F7wqb9kOfhmDwqb9kOfhmLO6e6AgiFl1DYj1F7wqb9kOfhmDwqb9kOfhmLMFja\/KFl1DYj1F7wqb9kOfhmDwqb9kOfhmLO6b2GpgII4wsuobEeo6HBE1MnGdBCn3LGpyo9Uf4VMSeZzkpyoxcq9iKRM28XYMRe4G+vSge6kp51MShZ0a5T4u9x5nzZjkGsZf7YyxL\/u80ThGtZKOkGT7v+fzwFX2anFKy9kVk9rqUa+SFhCSCbIhIdmdIGXlPvyZRf3oWNIsTeOqt7z6Mh7KKJGmsc3mXiJeEMAV\/Ezcg7OmnSDz\/AFDXqlgJ1sfELnyR0yhYaRymZ06mRy\/rrjgH1SUWyN7hdzsfniDaS3lyK2pJIaxlJnHhjE80FB9hiYStJ6l1wBWv68odXQMSUWo05t5hxsgCxAOoMRV4yy3xu1inrcPUtxxcxMLWt2VSGm2G+IJsdNL6kQruzbjvHc\/NzOE5J96dfQneCFXKgpJ1F4wMTRTjtxZ67KsdKEnQqxt9\/QSHUxTL0zdLl0qN7QpFGlUiVbWkDdtaI9sbZ050Zalho4McW4lXZU9vJSod1+f\/ALRlYP6QPMZahJJwAiYcY7LjbLi3CFC9+ANvyxZwkGt5mZrONZKKdn95Iyt9xbHV6hCeIjRVZ8qYWlskEJNrHiYQvAe13Uq7JtMYny8qEmp3UPsoVonxhSRw7wYV9qebqsmioshQbdAKd9O6fKO+L2In1Gmw2EnCW1ONlcj4225Sfnq8zM1xDqJEPFC0KTxIHZUnvB096CFu266ZJPZTInVNIEzL1BjcXbtAKJB8kETwtT9GSzGlGpW2n0pF7D88ZesSNQkOsWW1gpQ2DqFaX5aC5hxss8XW0lSLki+h01hGafgM4NxPNSyyk0++5LpKrqSkneHvcNeUK9SKmwEp7QUQADflGuqVVKRtIUHCntJXNLjah1CoyinpGiIqEw2khlhZslazwB5Ad5PKEPzDyHfrdCrbecFVTVn6rLLYlUSSuoYpZIunqU8VqB0uriLjS8OuZnJd5vdamA06eFhGBV5cTLbjaVJcWBqpVov0ZumtpGMq3pn6GquaNE2Rsh04Sxuuoy1MdlaZKy6ZRc3NpKXZtYCgndSfUpFye\/vvzd+tjragtl5RSy6epUod3AEe9HFTNUTRphlxZCWkOJItzUTaN3J1dVWcD3hDKG0KJBKwPz8oi66m0um9zLr4KpFKcfZtu+4bdmzg5\/LbMQ1yWk0olai5uzG56lTl\/Vf7Q1Pj9uHGbL9ZcqNHrcmk3al5ll1Cf3u+gg\/zBGlzrl6BifCD7Uw42yu\/VlwEHcIsQr3497GUyiZw9W3d5KipcrfdGl91wfmjPw7W3so0WcQbwirSVm+j71xY4gIUTeLyRftWtHo24jnHoADS2kZ55ByuM96RY3yeq\/8AI3P5phDa79YFR9xXfMGFz6RkWyeq1h\/5Nz+aYQyu\/WBUfcZ3zBjk2tPjgO\/L\/wCwOCa7vbyz8SXkIkiLkCJTthTousBYpwdQc7s+ak3iCSr0kiepeHZR1bUultwdhUy4N1a189xJCQeJUNIiyHqhaHhbO+1VnVmTnLkHk9WsUrlcF4cxFRZGWo8gksMPpZfRuLf1JeVcBXaJAOoAjsJ3cWPpXdmTIzITA2AanlJl7JYdm6vVpxidcYddWXm0MoUlJ31K4EkxHXhfDlcxhiOmYUwzTXahV6xNtSMjKtW3333VBDaE3IFyogam3fEsvTfetxlf7uT\/AJhEMa6OOQlahtoZZtzaN5LNQefSDw30SzpSfIQDAEjuUXRs7J+zzlyjE+0WulYjqwbSqp1OuzvUUyUcV\/cmEEoSUjhvL3lqNyN0dkdTTdmLo1do2QnsPZc0bAs\/NNtXU9haqdVNyw0AcHVr5Ej1SVJvYEHhDe+m8r9Vabyuwu1NuIpr6qjPuMBRCVvp6pCVqHAkJUoA8t495hjuxDi6vYN2s8qp\/D8+5LOTuKqfSpjcvZ2Vm3ky7zahzBbdVx4Gx5QBm7aeynV9kvNc4KdqTtVoVTlxP0SpONhC32N4pUhwDQOIULKtobpUAAqwb\/EtfTg0eQcwdlTXi0ROS1TqkmhYGhbcaYWoHytJt7Z74iUgASCSABck2A74l82R+jByhwhlpJZr7VEszU6tPSSak5SpycMvTqPLqSFgPkFO+6Ent7ytxJuADbeMVmVcnLz+ZuEZGaQFMzFdkGnAeBSqYQCPjiZTpha5UqFsmytNpc2uXl6tiSSkppCFEdaylt10INuI3m0G3iEAbyi5K9F1m3PrwHhKh5W1WpuhTKZWkVJLc2bDXcU04FkjXVJvEdnSE7CrOybXaZibBFSm6lgbEr7rMp4WQqYp8ykb\/g7igAFpKblCrA2SoK1F1NNwxiOtYRxDTcVYdqDsjVKTNtTsnMtGy2nm1BSFD2iBE3fS2U6Tq2xhUKnNy4U\/T63S5uXXbVC1OFokf7Dqx5YAg6pNNnqzVJSkUyXXMTk8+3LS7KBdTjq1BKEgcyVEAe3EzWRXRm7NGReXLWNdpY06v1sMIeqczWJzwelU1SrXabRvJSqxNt9wqJPqQm9ojP2F6TJVra+ynkagwHmU4llZncIvdbJLqPeUhJ8kP56bvFNckMJ5WYOk6g6zSarP1WfnJdBsl96XRLJZUrv3RMPWHeu\/ECAFro+zl0Zu0E3N4Vy\/omX1Unksne+huphqcZAHq09UsHS41II74i625tj+rbIuZUrRJWemarhHEDK5qg1OYCQ6tKFAOsO7oALre8gkgBKg4kgC5SOF2UMQ1TC+0rlnWaNNuS803iWQZC21lN0OPJbcSSOIUhakkcCCQYk16bKRlncj8B1BSLvy+J1tNq7krlXCoeUoT70ARF4LwdiDMHFlIwPhOnrn61XZ1mnyEsggF191YQgXOgFyLk6AXJIETOZZdHHsf7N+XjWItoN2kYhqW6gVGr4in+op7LpFy1LtEoSE6GxXvOHU3A7Ijw6MWnSlR208AibZDngypyZbuL7riZV3dPkhzXTd4gq30R5YYWTOuehYkahPmXv2C\/1jbYWRzITcDuue+AHLSWyv0be0lSqhRMtqPgicmm2jvzWFKmG5uVJ0DgDa9bG3qkqSdLgxE3thbL1d2Uc3X8vqjUVVOlTbAqFFqRb3DNSilEDeSNErSpJSoDTS40Mbbo98VVrCu2PlhMUacWwahWU0uaSlRSl6XmEKbcQoD1Qsq4B03kpPECHndOLTpUNZPVhLYE0VVyWUsD1TY8CUAfaJP4RgCMPA\/wBelB91JXzqYlBzo0ynxb7jzPmzEX+B\/r0oPupK+dTEoOc\/rUYt9yJn+YY5BrF985Z3vNE4NrY9\/wCT9\/zwFe2Zk72Xcj\/qUfFCw95txhItmNBVl7TwOHUIv70LBu2A01jqT4n0XHgeN7xQnud6ycFKlkpVeZmmm9DbvP5oUMg31hJto+fNLwfIz4JCGZ66iD3trtEZ+yzKwzSrRb6xBsZ5aU+nMs12Vqj6HHWxdkneuffGusKTsVZNSEniSfxpMBSytXUoWsaaneUfzQ3uTxvXM1MyZLBtOqZkJeXHXOqLlt4BSRuDuJJ94GJJsqsHMYOwO02gJQUo3nLJv1iibmMBU5Sdj1eJr04UXOPHgv4st52Za0LH+CanIzVIlX1jddZKxa5TwTflf88R0YP2c8L4UzWk6li3DFRSmQedKZd5X7WfKid3eWhFwkX9Tz01ESN4yzBptFoU1NTzDwk0BIdcsRupvxtzA5+KNJTm8PYlYQ6821MtOJBbcIBtcaa+9EJbUJ8ziTy+hKOF\/rcW4p7n+QmeDsq3KXUW6vhbE081JPauUebWqYk9R\/cusJdbI5WVu8dOFlolZB6SpqULIDgvew7PkEVp1LlqGnstJUgHRSOAjHrNZCEKAVokgRi1bw31HvZenL08lTormiKbUWGmcW4GRSpqfSwTMocG8neCiCOV\/bgjX5h1kYpxRIUNDIWygOqc52KQqxFvHcQRcpelUeaQq0qU5c4U\/FUm83MNJnhuun1Cr+qTy1j3SRMBIBSSLA6DlHDJk26fKejjVXqk4mouIW6ibmlPIl1hO7ZsHVCe8XtfWOtw9WCpIS4kqGgTuHTxxg7rGUpOCOtkJglRvfeToNbRWq1J5xs+DrSN4W7I1I8cWLoQ2hRICja5JjHUypboWHlLRY3JGggpuPArGMJTU5I5J9idruKZSRXfweRQqamO7fUN1CT\/AMx8kVxXl3Q5tCFKkZ6ZcWb7jU6+21vcbqShYSrxgi0bDEk01Q5R6cZZcWp9aQUNJu47b7UQiWYePdpvEsu7TsD4TkMEU4dgzNRdTMTrwue0lLZKEC2o7d9dQIv4ZRqP7zYSq1ptKjw6jVY\/wxPyLM3P1ivqo9LkZoBhiamVKQsEDVIUTfXSwhfdiaclX6NiN2QmUPsddLWdRbdUbO6wxCqZPV+uhyr5q4+qE9MMvl0SXXdWwSeVtVK1sBdXi8cPq2JKdTqTg+vNU5tLaEzbDYSngEpbNvjMbvD01Cx5XSSjUowW0mr9bu\/\/AFwHQ9cQkXMXg8dCeYMaxxzW29GT1m8hGsZiPD7rDTekXXv5QVYc\/A3P5phDq79YFR9xnfMGFq6RNf8AWhqyv8zc+KEVrmmX9R9xnfMGOTa1OOA78vIcC13bp5Z+JLyESSuMLJsZ\/ZYZSffhTPPphG1cYWTYz+ywyk+\/CmefTHYDu5In033rcZX+7k\/5hEMk6NT7NTLj+VTX9Fdh7fTfetxlf7uT\/mEQyLo1lJTtp5cbygLzUyBfmfBXdIAdT04H9u8qf5JVP57EMT2Svsp8nvv6oX9PZh9\/TftqNZypcsdzwWqJ3raX32NIYnsjMOvbVGT6GUKWoY4oayAOAE60T7wF4Ake6b71tcsfdye8wiIhol26b11v6XGV7RcSHFVqfUEX1IDDdz7QuPfEREwB1+T3rt4K++Gnf0hES\/8ATOfYu0T775T+jzERAZQKSjNjBbizZKcQU4k\/8QiJgemZbW5st0ZSUkhOLpQqIGgHg8xx8ukAQnjjE7PSt\/YPVv3Ro\/8ASURBQEi\/HWJ1ulfPU7Edbae7KjU6QgAnXeEwjT8hgCKjYB+zKyo93keaXD1OnJ\/seTf+lXv\/AOGGVbASko2ycqCsgD0fQNTbUtrA\/LD1unHSVM5Nrsbb1fF\/H+0YAjw2cfsgMuPvppf9JbiU7prfWDwZ99af6K9EWeza0t3aDy3aaSVLOKaXYDn+2URKX016kpyEwUkqF1YrFh32lXoAY30W\/wBmpgj\/AFU\/\/RXIX\/pvvXGyx9xZ\/wA+iG\/9FypKdtPA5UbXbnwPGfBXIcF03qD9MTLBZFgaLPi\/j69v5YAaBsNfZf5R\/fVJfz4fd05H9psnf5TXP5slDFNhVl1\/bAylQy2pak4nlFkAcEpJUo+QAnyQ+npxlA0nJ1skJUX66oAnUgJkvlEARe4H+vSg+6kr51MSg5z3+lRi233Hmf5hiL7A\/wBelB91JXzqYlBzn9ajF3uPM+bMcg1i++cs73micG1sf8QZP3\/PAWbZiBOXcj42EfFCvwkGzGrcy6kD3Mo+IQsBFjHU2t59Gx4FtVuUJXtL0ldUydri22gtcl1U0NbWSlQCz5ElR8hhU1HUiMSrUyTrVLmqPPsh2XnmVy7qDwUhQsoe8Yo1uJRlstSIoKSitUeoOu4ectUW3w6txC7qLl9APED+usOPwntM7QMhL0nDM3iREkpaDd9tkPqNjpvoXYJ05gm8JVXcu5OlYgrmHqs65IVCnVV9nr0qCF6KJSoE3GoKVa8biFSy+oWIVuylMpOO6LVnGDZtFSkE9chJHqN9PG3I242jDmnbdxPYZZhnimudx6N3+I43BmLpnGVJmKfmTi1usqWkjq\/A0y4CCkixAUre566e1GkwK7UcosSN4LqM0qoYXqTxVQamo3KL9rwZ1XJYHC\/qki\/fatGwzma0ptYouHJtxoWAU+81YEWJ0Rx8caeXoeJ5eu1TLfE8mzLS9UZXP0yaYdW402+gb6d0qSCCldgdLm5HONdXlK93uPQVIvD\/AKO+7q6BwLtYfbY65DhLX2xuCAO+ONxXitsMutNubylaItzJ0ABHE3I9qOIxHj5dMpsvIqdb8IUgNKS4sbpVZKuV7d9zHA17FTTE28HZxQXLJWtDqhdCjbQkgcR7VtREIwdXnM1tTEQoO0To6HPhOM1KVMJeU1vlCQk7yiUG9k30Aur27k90EajLKizeK6wmpoT+1kpcWt1XPfHZTbvFj5IIvOTi7FqleUbi4t4Tn8PTE9grEDeo7LbpT2XB9qtPiOkcm27VsF1Ayk0FqlwbNuW3gEnv7ot7Ee0xhnaZwFKZWZjVHq8xsMS3VtTTqx1tTlUABMwgk3UsAgOJOtxvc9FmxLgJ+UIka7Kh5tV0tzSUkIUOV\/3p8RieMwMsPJuCvE1WAzWGNgqcnaaXT0nESuJkTrKVNOpBGqyfFw\/JGezXZhCfB9VKXckcbRyFfwZPYdedmJR1aJfe9UdUm\/LxGNfL43bpquoqaQ24baqFwQByjAcdrcjawrOLW3uQoZkHaiGXnHFpLLm8ARYXjErVPmZyXVLoaVvL0SRyjUyuZtPbQ0lJaKVC43SBFqsZ2YZp8ot16fZaLYJJK0\/mOvk1iCw1Ru0TKhmVOm7nC1PIqiNzz1Xri35meWd5JfdKg0O5A4CFb2YUytNnMU0enNK6mWMnvAKv2\/qoJv5BDQ83ttTC0g28mkzRn5hBKd2X7e4b6AkaDh3xw2TfSb1rLGnTdMTlRTKm5PTipuYmXao4y+5oAASEKGgAAFu\/vj0GDw9SPOqM8xpBmdCvD0VHe+lkuwDoSHVp7I5GLyXxcDlyiP2ldLpgKs0t2VruWdao02oWStiabm2r+3ZCh73ljoMMdI7lLWFNMvYhMg8sAWnWFMpH+36n8sbNU2eOU7cTrekMc38o6sOXgbn82Ecrnrf1H3Fd8wYsbU+09lPm1lhWqFhzHVNnKqiVdvKBwpcV2TqgKtvDxi8X67f6AKjf7jO+YMcj1qrZeA78vIcH13Pallj\/ALyXkIklcYWTYy+ywyk+\/CmefTCNq4xekJ+dpc4zUabOPyk1LrDjL7DhbcbWDcKSpNiCO8R187uS49N6QcuMr7G\/9XJ\/zCIjAyNzQn8lc3sJZq06VE07hmqsT6pcm3XtJVZxu\/LeQVJvyveNDXsbYxxU0zL4nxZWau1LqKmUT887MJbUdCUhajY27o0gNjAH0AZlZW7OfSU5LUKry+J31sMjw2l1GlvtpnaW8tIDjLzSt4cU7q21C903SRoqOO2aOjLyc2Xsct5vVjHVSxPWaKl1cg\/UGmpSTkApBSp0oBVdYQVAKUvdF7hN7EQl4axvjDBc76JYNxZWaDN6jr6ZPuyrtj\/jNqB\/LG5xTnTm\/jiT9DsaZr4xr8qDcMVSuzU03fv3XFkXgB1fSp7T+EtoHN2jYTy9qrNVw5gBiZlUVFg7zM5OvqbMwppX27aQy0gKGhKVFJKSCem6PHYDyX2r8qq9jfMau4ukp+l15dLaRR52XZaU0GGnLkOsOHeu4dbgWA0iPoC8O62fduaqbM+y5iXLLLuXUnHOJ8RPTTdRcTdqmSZlWW+tQPt3ipCgkHRNt43sAQG8Zj0djLLOPFGHsMTMx1GFMTTsnT3nylTu7KzS0NKWQACqyEk6AX5ROFgTGmQnSTbMyMK4hnbPTkuyis0xibQ1UaVUGgPqrYIOm92kLKSlSTYj1SRAjPz87VJ6YqdSnH5ucm3VvzEw+4VuOurJUpa1KJKlEkkkm5JvGTRsQVzDs+3VcPVqepc6yoKamZKZWy6g94WggjyGAJl8p+h7yVy4x9I43xRmDXsVSlJm0TslS5mVYlmCtCt5HhChvF1INjZO4DbXS4KNdL3tWYKxjTaPs7YBr8tWHadURVsQzEmvrGWXkIUlmW3wbKWN9algXCeyDqCBH3Wc\/wDPXEdPXSMQ51Y8qkg4ncVKzmI5x5pQ7ihbhBHitHBKUpaipRJJNyTzMAdFlvjeqZaZg4bzDoZSKhhqqytWlgoXSpxh1LgSRpcHdsRzBMTv4qwzs49JfkJTOqxAZiWC0T7D9PfQmpUOd3N1bTiVA7p7RSpKk7qwApOm6ofP7G3w1i7FWDp4VTCWJqtRJxPCYp067LOj2ltkH8sATUbPXRW5M7PePZTNfEOO6riuew+4ZumpnWWpOTlHBwdcSkqLikjUEqCQdd0m1mgdLPtW4UzpxvQ8pMu6mzU6Jgh2YfqFRl3EuMTVQcCU7jahopLSEqG8DYqcUPtQSzbEueGc2MpI0zF+bmNK7Jm15epV6ammtOHYcWRHEqNzfvgBRNnjNubyJzpwhm1KShmxhyptTMxKhW6ZiWPZebSTolSm1LAUdASCQbWibvNvJfZy6R\/KagV6Sxa481LJMzSqzSHmzMyK3AOsYebUCOIAW2oAgp0IMfP\/ABvcLY6xrgea8PwXjGt0CZPF6l1B6VcI\/wBJtST+WAJt9mTo2Mmtk7F\/04KrjifxHW6Uy8JOcqSGZOTp6FoKFuhAJ7e4pSd5S7AE2AOoj76UTafwrtEZ1SFHwDUxUsM4FlXqdLTrY+ozU244DMutG11N3bbQFcFdXvJuFAlsGKc5M3McyiZDGuaeL8QSydQzVK3MzSAfElxahHHqIJvrAG7wR9etB91JXzqYlAzoNsp8Xe48z5sxF9gf686D7qSvnUxKFnQCcp8XW+48z5sxyDWL75yzv+aJwbWx7\/yfv+eAsmzIb5cSX+qR+aFhKtLkwjGzTMNy+W8q+84ltpthKlrWd1KQBckk6AW5xcr+1zs64cmH5aezQpjj0uSlYkw5MWUDqAW0kE6cjHWdhtn0VGaS3ivlQVyjyTY2MMRzm6SuVkHkUzJfDTc2Ek9bUawhQQeNg2yggkc7qUPahIad0ke0I3OOPTqMNzMuv+4Kp6khPtFKwfKTBUJPeQdWKF22rcPUylZ0S01U21syWKZJt7rEKCQXmbNuEki190NnyxqcPZMYNnMTSDtHzBnKPUFID6JV2yuyOaVCxtcdx4Q1fOLarzWzpclfotnZFEtTnVPSktKyiGw0six7eqzoBxUR4o2mXmc2P6tWpJKJdNQfossotKLgSvqd4XTqRfVQMY+Iwk5c6LsbjLMzp0eZUjfqJOqJNzGCKUiXqlQVPKbRdTjjhKlaXA1+KEdx9nrOnEIaEmA5LJWplZc5XtuhQ07r6d\/GG21bacxu5IJpBw5WnZopKFoDHq1HT1Qub6DhyjBp+Hs\/cw3UPHCz0q2T1rCX3UsIAOpCibqF7ai2sayGX7O+qzd4rOZ1mo0IsUmp5hViszyZOQWoImFKuhIKlai+6VXtxub8rWtGdTZOp4xxPJ4XaW4ElW84EL3lhPMqtoDb8gHdHrCWzTm7OKaViCu0qkShGrUlvzLqgTxFwLe2fHDoMoMnaBglsGTbLs0+LzL5JLxOliTyHE6ROU4U42iy3SwuIr86orI6HLrAQw1h9iSZt2EklJSBc3\/MLcYIUhMn1LCW208AOMEauTk2bSNbYWzDgQV4dr1awzWZLEeHKpMU2q055MzKTksvcdYcTwUk8viPA3iZTYp2yqFtM4XVhDGvgMpj6lsgTkoE7rVSaSADNMpN+P2yOKTrwItCu0r4o6DBOMcS4FxFT8Z4Pq8xS6zTHQ9KTjCt1bahy8aSLgpNwQSCCDaPbSSkrM5m+sn+xBltKTks4KWAkKFiw6boPiB5Q3bMbKCldpqpyM1IvuXCClRSlVuNraHyGO82PtrbDe03grrHUtU3F9IbQis0zeGpsB4QyL3U0s38aT2TyJXqrUemVuRcp1VkmZqXdFlIcTce2O4+MRqq2W05vahuZs8NnNeitirzl9\/H4kb8zlphmlz26mozpKVapVMKUk28UbjKrZ6rOPc3UYqkWJWWoGFZRLrrDo\/dcw8rQcDchDajrw3hC1Zk7MpwzMT+M8M4jk00ZlCpybYrMwUeBtI7Syl9VxuBIJ7eoA1UY4d7bj2aNmisSmA6\/iGbrc3XHy\/Up+ispm2KU3upQgv7it437StxAWsJ1KQSExDD4arTqrb4LpMvF47DyoOVJ859BD1Vkeg2La3RpdFmpWpTMvbxJdWkfFHqVoKqtMKWFFllsjrHLfkT3nSHObY2zxK4dxrMZxZdOM1bBmLi5U2ZqTWFtIUs7ylJI4pNyoH2xyhDJbcbkpZDSAE7l7p+2UTrf4o3Owkef4FyRbkaehLUpJtpAFlKWN5aj3lR+LhGLXaKipt+GU5Abm0JupsJ3Q6B3cgfji8ACbg+37fP8sXmnCCNTpwhYoxPqqpT0ipLyLLQDcnjccolBrmuX9Q9xXR\/0DEb2N5Rl6UcnWUpS7btgcFD5Ykhrnrf1C\/3Fd8wY45rZ9vL++\/IcF12+1ln4kvIRIq4xSKq4xSOvHeAggggAggggABsbxUm9tLWikEAEEEEAEEEEAEEEEAEEEEAEEEEAEEEEAbvA\/150H3UlfOpiT\/O1xLWUeMHl33W6NMrVbuDZvEYGBvr0oPupK+dTEnWfHrL449wJzzSo5BrG985X3\/NE4PrY9\/5P3\/PAZZmFtIY0xpQJXBFMqL9LwxKthtcmyvdM2dO08RqRpongISt2oPkKJcub3FzwMYcoyVMggceMXzKKVrxjtCh1He3JviYi3XHFbyj\/wC8egs2jJTJm+qYuiSBTcgRXYkEjA3zvi\/fCh5J1uUpuOA1NO9X4dKuyzRvYdYSlQB8iTHCvSW6N9J4axjNPPyswmYbVuONkKSocQQdDFupTcouLLkKnopqfUO3lVT8pX5apUjqPC2nQpKXQSldrWBHj1h4mAanN4ukG5ielGZZ9KQHWULJbBA5AC\/\/AGERu0HO1KWZdNeprqpiXsBMsKHatzKT+Yw4fL7axy7osq2uo4hm5ZywCkGTdUTYcbpSR+WNHXw1ZcEevy\/H4ZSvKVr9Y+TDxU46JJ6Z7A0P1PdKj47fHCl0WUaaSjcSQnmBYAwwJ7pBcrsNN9ZQ6TXq4+dQAymXa3v9JZ3v+WEgzN6Q\/PPHCHaVhR+UwZTFJKSKeSucWDxCn18NLeoSk68Yx4ZdiKru1ZfeZ+OzvCQhswnd\/cSP547UWTWQbaJfGmIg9VXQhTdIkQHpwoUdFqRcBCbXN1EXtpc6QRCPPVWcqc27UqpOvTk5MrLj8y+4pxx5R4qUpRJJ4cTBG1hktJpbTdzyss4qt82KsXZebLiVJUob45RntukBITwAEaWU6xLQ64gnkecZ7TotxjONTxFAymzUxhk5jyl5h4GqHglUpjm9rctvtn1bTiRbeQoaEeO\/EROrs858YS2iMtKdmBhh9tDjqQ1UZLfu5JTQA32lDjbmDzBB74+fRp25haNmXaZxjs3YvmqhQJ4po9bZMpVWCnfCUn1MwhPAONntA8xcHQwtci0O\/wClE2pWK21NbMGXtWRvNqbdxY+h2wJBC2pFNuJvZbnL1CdbqAjBXKuMPmXmWVJN9QoWMSRudH5lNjDCVMzZquY+JltY1nBMPVSXCHESa3z2HlhW8Xklw9tW+CN7e5WLSdpPZpzC2YceDA+NpqTrNNqbC5uk1KXWd2Zlgrd3iCN5taTa6dRroSNYW2UUH3bGGX8tifZwplPxLM+F4bcmHJKpS6wP2kH0pWzMpv8Aahat1Y4EKv8Aawy7aXyGquzZmzN5fVGZS\/S5pAnqPMJuUlhaiAk31BSRYj2jzh2fRd5t4bqCq5khiiooM1NyaW2paYSEonEpvbq9dVdWTcWB7NxCn7bGQzmcWUyHkvKVifLmdcp3hS0jfflHQnqFun96SWd5X2v1RXI3k3fcyrSIqiBfd3Ck2vaDS97x4QZhBekZ5tTU3LLUy824LKSUmykqH74EEEHuj2QB3J8cRKNGhxYr+prlu4xJDXPW\/qN\/uK75gwwfE+V2MpnLk5iMSLPoCpx1oPdclTg3LBSihNylNyACbXN+QvD965cZf1EEW\/qM75kxxzWz7eX9+XkOC67fayz8SXkIklcY7\/Z\/wDSM1M7cD5b1+Ym5enYmrsnS5p2UUlLyGnXQlRQVAgKsdLgjxRwCuMLJsZ\/ZYZSffhTPPpjrx3gcP0iuwxlTsj4TwdXcvMQYnqD2IajMycwirTLDiEIbaSoFAbaRY3Vre8MTiYzplcL4jxthjKPCuEqFPVisVHEM8xJyMkyp599Zl0GyEJBJ0BJ7gCTDGnOjF20mqL6N\/SiWtHV9Z4MipypmbWvbq+svfxQA1iCNhiHD1cwnWpzDmJaTN0uq055UvNyc2ypp5h1JsULQoAgiNfABBC25L7GG0hn\/AEkYhyyy1nZ6jLUtDVTmXG5SVdUlRSoIcdUkLsQQd24BBBNxHZ4z6NLbJwPSHa1UMpXqhLspKnEUmeYnngkC9w00srVw4AEwA1+CLjjC2XFNPJU2tCilSVCxBB1BB4GFEyX2eM3doOo1KlZR4Tcr01SGETM422+211TalFKSesUL3IPCAE3gjqMzMtMaZP41qGXmYVGVSsQUrqfDJNTiFlrrWkOo7SCQbtuIVoecbTJ3I3M\/PzEkxhLKjDDtcqspJqn3pdDzbZQwlSUld1qA9UtI431gDg4I7XNzJrMXIzFZwRmhh5dFrQlm5vwZbqHD1S77qroJGtjzjpsjtlXO\/aNlKtPZR4RFaZojrTU8ozjLPVKcCigfVFC9whXCAEkghdcE7EW0vmHjbEOAMKZazU3U8KziqfWHS+03KSkyLHqlTCldWVWIO6FE214Rl5w7B21FkXh13F2PstJhFElgDNT9PmWp1qWTcDedLKldWm5HaVYeOAG\/wRs8PYbruLKzJ4cwvR52rVWoPBiUkZJhTz77h4JQhIJUfEBDnaH0XG2nXae3UW8rWZJLo3g1PViUYdAtzQXLgwA0+CF7zS2E9qnJ6mP1zGWUNXNMlUlx+dpu5PssIHFTimCrcSOaiAB3wgqgEm17wBusDfXpQPdSU86mJOc+PWXxx7gTvmlRGNgb69KB7qSnnUxJznx6y+OPcCd80qOQaxffOV9\/zROEa1\/f+T9\/zwI15A\/tdPtRmNrtzjAkVfUUjxRmpsQbHhHcKZ3c9ld\/ljwTfhHlSjyGkUN+JGkSJX3WKCyrju4xivMne3kAHvBi+o9oW5R6KgRcGIyVyJhFDQVYEt31sYuJZKz2XkjhxVF1QB4ge3aPPVoIukXtFvYRNNlQygA3eBvppraLiW276KJA5nnHgKFxugWHH9RHq9zcGJKKSuRbLilFPAI04aQR40U3vgkgG2mv6+\/BFNplD0gB3tINrxfQq50Fow1KXLOlxCbtq5d0ZbTiXUb6QIxifRYvocUk6ExlIeSUkK4eKMAL4+KKtuqCgDFbXA+\/o7dp2Qok3MbNGatRaGFMUb7dDmJtR3JGeXcBkk+pQ4bbvILtw3otdIqMaVxOWtWq8k43O4dVV8MzS3BYrdZcl3Gd7xrbKiD9sBvc4Y7vrACkLKFA7yVJOoPih6GIsy6vtTbKsxV5mph\/HuWDkrNYkkgm6qrS2krbaqSRx61lDikukaFClE2smK2K7htuFsa1jKbM+g5g0t55oyrzTxUgahIPcOJFr28UTj4KxPhnN\/DdHx1TVMOU3G1KcpdRS0vebUvq1KSL87DrQDxIUmIJMTKbqFLSVFO8gDcIMOx6M\/aiTgrGrOQuP6whrDeI5hCqLMzCrJkqolQU0jePBLqhui\/2xA+2ij3byL3GJ0gOz1VMvcUSmbtKpwbkK1MqptbLKLJarDQP1Yi2iZpsJeB4bxWDqRDRqlPvOtMsSKFddNuJZSlCbqBOmneSdB4zE92emT9EzhwtiDLbELe7IYwpxbbmQAVSdRYF2XgDxPA\/7q3BUQT1ikVrLfG07h2vSnUVPDtQXLTTBvZL7Kim4B42OoJ0sfHC9yt9x34zopLWRq8tWKLNSM6wJqVmg8RuKHcQeCgb3NrhQPG8O\/rnrf1Cyr\/1Fc1\/3BiMOsTE\/LIfXNuKdM1vnrlHVwXNyT33NzfviT2ui2AKiCLWozvmDHG9a\/HAd+XkOC67fayz8SXkIkVcYWTYz+ywyk+\/CmefTCNq4wsmxn9lhlJ9+FM8+mOvHdyarbm2nsO7J+BqLmQ\/gyWxHieanHqZQGX3OrSypxAU+4V2JCd1tIISLm4FxeGsbNXS94kzKzboOXObeXtApdOxNPtUyVqVIdeQZV91QQ11iHVL3kFakgqBTa97W4bDpvvW4yv93J\/zCIi4yZUpOcGBlIVuqGJKZY9x8KbgCSbpqcncPytPwVnnTKZLy9Um51eHqrMNoCVTQ6lTsuV\/vilLTqQo62sOAFmKbGuScttCbSGDMs6km1KnJxU5VbX\/AHFLoU86jxFYb6sHkXAYk26awf8Awy4S+\/uV\/wDT5+GW9EeUjbKo9yLmh1Sw\/wBz8l4AkP239teibEGGcLYHwBgqn1GvVSUWKZT1\/UZCmyLAS2lS0tkLIJO6hCbAhC7qTYBSN7HXSv4nznzapOVGc2CaBTF4jdVKU2p0NLzTbcwQS2280844SFEboUlWilC4tchFOmu3jn7gokaDCabfC34adsgdYdqLKzq73+iqn8OP9mTeAHd9MXs\/4ewLmDhzOvC0o1JN42D8rWWG07ra59ndUmYA\/fOIWQrldoHioxtOhD9cvM4X09A5L+kKhUOm5t9KvLa1h\/4gmv6NCX9CGbZmZm+OhSR\/\/IVADeelD025cybf\/Sf\/AEqUhV+hb+yZxKP\/ALOmf6XKwlPShg+nkzIJBF\/Qm1\/cqUhV+hcFtpnEh78HTP8AS5WAOf6YT7LpXjw1T\/jchw\/Qe\/Wvmv8Ay+lebfhvHTCfZdq+9qnfG5Dh+g9+tjNf+X0vzb8AZW1v0n9Y2eM3a\/k9kVlrhd1VFnVLrVSq7Tq0TM+6A4\/uNsONm4Kt1S1KJKgdLAEth2qukzzB2l8nqXlenDDGFC++p7EblPmlqaqCUkFppAV2kN3upSVKVchOtgbpDt0\/Zf5s\/fLNfGIQqAJTuhPyvwtPJzBzfqUizM1ymvytFpzzguZNpbanH1I7lL+pi\/GyCBopV9dtK9LRnxgbOPE2X+XWDcLUylYZqj9NSuqyj8zNzKmllClLs6hKQSCQkJvb7Yw3DYF225rZDxfV2K7R5msYMxMlr0TlJYpExLvtEhuYa3jukhK1pUgkbwI1ukRIFWNvLoxs4VtVPNWkUacnt1KArEuBHJ59sAaDrEsPWA4aKgBGcu+mvnjQalLZtZQy71WTJOeAP0B4olnpndO4h5p9ZU22TbeUlayBwSYjSx3i2o49xhWcaVaXk2Jytzz0881Jy6WGG1OLKilttIASkXsABwETZMbJ3R17W2DqjO5RUjCyXEoLKqlhNwykzIuqB6tTkvoEm+oS432gO6IZM58r65ktmpifKvEakrn8NVF2RW4kWS8gG7bqR+9WgoWPEoQBpsDfXpQPdSU86mJOc+PWWxx7gzvmlRGNgb69KB7qSnnUxJznx6y2OPcGd80qOQaxvfOV9\/zROD62Pf8Ak\/f88CNGQ\/sSYzUkkm3kjBkQQwkxltkm4747dTe47wewbG5F48lwXvaPZBNgs3HId3kjwsXI+WJgtr1BN+MUSDbvj0u4GvEd2seN5PEi8RbBUC5uI9eq05\/r7cAuUWOo7uNvJrBug8Rfyfm1glcrcCb3SdD7f\/cQeqsLajyx6OoCVG9uV+HxwHdKdRc8v+2sSfApx3gCTx96CPOt7Lt71\/yC8ERBbpswJlgtOKutPGPSAqVdCSfqZ\/JGppT5anFk6aaxvXEh5oLNiIxUVu0XAQtQWDpB3HmOMWWVlPZNyBGQ4lG6Sgm8SJXue0OEi0dvkxmzXsk8yaPmHh9CX1yLhROSTgu1Oyi9HmHBwUhabgg87d0J8FlB1MX23Eq4kWgUFhz4wvRMI4wmRhJKl4TrjDVaw49y9D5kFSG7jm0sOsm+t2ibaiEZL7kvMB1hxSFtqC0LSbKSRwII1BBsbiOv+iV6r4EbwvUZwKdoDy3af1x1Eo8R1rSD\/iOhCwnucdPKOGcdUVG9xrwgylydPYF2jXNpTIyQdxDNIdxhgx1qnVg\/bPFKfqMyRx+qthVzwK0uWtoIab0suRLGGccUfPOhU5LUpikCnVdbKbJ8PaR9ScVbmtlBTfn1OuphvvRy55KyX2l6C1UKiZeg4yUnDtTSpdmgp1Q8GcWOHZe3Rvcg4vvMS67YOVjeb+zvjDB6JdLk4ZFU5IaC4mmfqjVu4lSd32lGLXBhM+fOuuXknG1gKBBtfkbcR44k8rg\/rf1HX\/5K75gxF\/iDssrSQQbHQ6EacxyiUGu+t\/UfcV3zBjkGtr28v778hwbXdunln4kvIRIq4wsmxn9lhlJ9+FM8+mEbVxjb4OxZiHAeKaVjTCdSVT6zRJtuekJpKELLD7Z3kLCVgpNiL2IIjrh3glg6b71uMr\/dyf8AMIiLfJr138DffLTP6U3HUZzbU2fO0HTaZSc4cw5jEcrR33JiSbdkpZjqXFpCVKBZbQTcADW8JnRqtP0GryNcpUwZeep0y3NyzoSFFt1tQUhVjcGygDY6QBMv01n2MuEvv6lP\/T5+Iv8AZDzsTs87Q+DM1JpBXTqbOGXqiBe5kZhCmX1ADipKHCtI5qQmKZw7XO0Rn9h2Vwlm7mVM4hpEnPJqLEu7IyjIRMJQtsOXZaQrRLqxa9u0fFCPE66HSAJ59srY4wZt34GwvjbBGOZOQrUhJqfoVYbT4RI1CSmAlYbdKDfc0SpK03KSpXZVfRINjbopalkfmdTs2s4scUmsz+H3S\/SqXRkumXS\/YhLzzrqUKVu3uEBFr2JUbWMaGUW1ZtDZDyypHKjNar0ORKlL8BHVzMpvE3Kgw+lbYJN9d2+pjrccdILti5i0d2g4ozzq6pF9JQ63T5SUpxcSRaxXKtNqI8V7QA4fpgNorDuZGZFAybwjOtzsrgMPu1aZaUFtmovbqSyCP4JCLKP75wjimOI6JnOGg5XbTfoFiapNyMljilqoTLjzgQ34YXm3JcEnS6lJLae9SwOcMqWtallSlqJUbkk3JMUQpSVhYUQoG4PjgCanb06NSsbTeO2s3MrsWUij4kflmpOqSdWDiJabS0N1t5LrSVqS4EBKCCgghKdRbXf7Aewi3sh1yo17HmOaVWMd4kp65ZmSp28JeXkm3EKdKFOBLjpKi1vK3EhPZFje8RlYK6RnbLwBQ2cOUHOudekZZstMJqVPk59xocrOzDS3DbkCopA5RzcntqbUMnmNM5stZxVZWK5qRVTVT7zMu8ESqlpWpltpbZaaSVISbIQngIAXDphPsu1fe1Tvjchw\/Qe\/Wxmv\/L6X5t+Izc2s48yc8sVfRvmpihyv1syzcp4W5LssnqkX3U7rSEp0udbXjc5PbS2eGQUrU5PKHMGdw2zWFtuTyZdllfXKbCggnrEKtYKVwtxgDp9un7L\/ADZ++Wa+MQhSRc2jc4yxhiXMDFNTxrjGrOVOt1mYVNz044lKVPuq4qISAkeQARpoAkN6OzYa2f8AaWyxxVXsxcYrncSLcMnKUqmz\/UzNFQD2ZpxH26nCCE7wU3uhXFXqc7H3QrZ00+uupy3zKwpWqMpRLLlVL8jNIF9AtCG3UGwt2grXuHCI+8LYtxRgmssYiwhiKo0WqSxuzOSEyth5HfZSCDyEOFo3SVbbdBkm6fIZ7T7jLSQlJnKTTpx0273H5daz7ZN4Ak62DNiKZ2LaNinG2Y+PadPVqsyiEz3gZU3TqfKMlThPWOBJcVrcrUlISBYA6kxFbYGaNGzo2l8wcysOi9Jq9WUmQc\/hpdlCWG3bct9LSV25b1o85rbXO0lnZILpOZmb1cq9Pc\/skilTcrKr\/wBJlhKG1eVJhIL34wBu8DfXpQPdSU86mJOc+B\/WXxx7gTvmlRGNgb69KB7qSnnUxJ1nx6y+OPcCd8yqOQaxvfOV9\/zROD62Pf8Ak\/f88CM6SWTLgWjLaG8Tc84wZE\/UBbWNhL8zaO2QO8HshV7C1vHHlaSm2sVV4zHnx3i8Dw7oNfyx5sFDSB5Vh8UeG9T5IguILoAOgN+8cYqAeCd1Q9\/5YqN0p5ExQpF98nUcoq9wK8t38nGKX5DXvHdBbe1vY\/r+vCDd4G\/CKAo5cpAFgO86wQFYvuHnqT+uv5YIA1E3IrYUpxpWpjJpU8pTYZcXe\/5IzXmirtaE90ax6TU0rrGk2N7m3OMW1itrG4JSOHCPQX2SCYw5SYEw0dQCNLHjHpbqkaRW4bLyhe+ojwle6bRRK94ax4WAnUQuUMlwqdQrtEKItcRgLdW6sLcI6wgBdv3w4\/LGQ26e+0Ys0ncfCgLJVxMGyrLzDzrC0vMLKXUEKQoaFKgbggjgbgax9GeQePGs5cgcG46ccS6vEFBl3ZlQN\/q+5uPD2w4lYj5xUORNN0RWN3sS7LTuGJtwKcwniKdkWhfgw9uTKf8AnedFvFFuRREVu1jhdjBud+OaDKNJalmqxMusISmyUtuLK0gDuG8R5If1XDfL+o+4zo\/6BhqvSY0VVD2m8SU15ktLQ2h5s7tutZdWt5C\/Hq6tF\/8AJ+KHWJbGIsBblNcQsVSj\/tZZNkqDrPYN+7tCOPa23sPATlwU5b\/D8mcI14NQWW1JcFUld9XsfIiQVxikOLOwrnMf\/MUL4YfmxT0iuc3sihfDD82Peet2Rdrh4kdL9e9Gu20\/EhusEOK9IrnN7IoXww\/Ng9IrnN7IoXww\/Nh63ZF2uHiQ9e9Gu20\/EhusEOK9IrnN7IoXww\/Ng9IrnN7IoXww\/Nh63ZF2uHiQ9e9Gu20\/EhusEOK9IrnN7IoXww\/Ng9IrnN7IoXww\/Nh63ZF2uHiQ9e9Gu20\/EhusEOK9IrnN7IoXww\/Ng9IrnN7IoXww\/Nh63ZF2uHiQ9etGu20\/EhusEOK9IrnN7IoXww\/NivpFc5fZFD+GH5sPW7Iu1w8SK+vWjfbafiQ3SCHFekVzm9kUL4YfmwekVzm9kUL4Yfmw9bsi7XDxIp696Ndtp+JDdYIcV6RXOb2RQvhh+bB6RXOb2RQvhh+bD1uyLtcPEh696Ndtp+JDdYIcV6RXOb2RQvhh+bB6RXOb2RQvhh+bD1uyLtcPEh696Ndtp+JDdYIcV6RXOb2RQvhh+bB6RXOb2RQvhh+bFPW7Iu1w8SHr3o122n4kIhgb69KB7qSnnUxJznx6zGN\/cGd8yqGj4a2Jc4KTiKl1SZfohZk51iYc3Zs33UOBRt2e4Q7PaDmmJPJLGr77gQhVGfZBPDecTuJHlUoDyxzPTXNcFm2c5b9hqqpszV9l3tzonH9YedZfnmf5T\/RtaNXZmr7Lva84kaVP\/cqYzG1W8ka+TUUspSCDGUhxVzHfKe7ifRhkpXrqLxRaxxtHhBvqY9KtF24MWadCQL31irJuAbxZnrFaUE68YuM+pAEWukGWVb6Am\/A8zHpJCwRyH68ItNg8zHu1zY6Ec+f6+WLkQVuLi5HZN9YosneKgCPb+WPJ0Vc8fb1iiio63EJMFCpKb2v7X6\/JBFpV\/U39qCIXYMwJsbx5db3hodYuHXSKEWiySZqXkLlnetSDuq0Xb8kX1LC7EEEHgYyH2kuNqTzMakOKk3QwvVu+h7vFEXuImxSoBOsV3we4xj9ckj88eS8E8TYHgYo9xVJvgXS5uq3OXfFJolTRubkC4iy0iYnZluSlGHHph4hLbTad5SjyAAjrpLLPF07KF+YpjksgEtkvHq0g3A1UqyBa\/AqHvxHaS4lVBtXOQJs0Fg2AFye6JMOhZx\/Lt1bMrLB6ZSmYnJaUr0o2VauBsqZeIHi32b+3DUco9lzDOJ5+S+i7Nyly8o4tSJiUpxV4SByCVuo3ATobgKAvqL8HqS3RzYCewFN1zZYzKxhh7MKnybjL6ahVEAVJtablpTjKWy0F2ACk9nkpJ4iDrR2vR9Jd+zVfR+mtzRO+l+pmEqnmVhXENIrtNexAqmO02qyLMyhUwy2251jC3Gwd5AJW6BcC8Nxyg2tsT5ZYflsIYjoAxBT5IBuUcRMdU+y1f1BJCgoC+gNrAWva0JZiGjV6gVypUTE8hNSNZkZpxmflpu6XkPpNlpcvqVX53N+NzGnWlA+0HvRg5rk2Czyh9mx9NSje\/U0\/4reaLO9H8v0iw32TMqSnC91e90+tNNNfkO19Prhvh9Lir\/DG\/kgG3thsf3t6uf8AjG\/khohLYNygd3kihLSuFo8ryY6N\/sX45fM8TyP6I9nfjn8x3np+MM\/xb1b4Y382KHb4wwOOXFWH\/GN\/NhoO6hJ9SDFp1SCbhAinJlo3+xfjl8ynJBoj2d+OfzHhen5wv\/FzV\/hjfzYPT9YWHHLqr\/DG\/khmyiCeAFu6KFSBxSIcmWjf7F+OXzHJBoj2d+Of+YeUNvrCx0GXVXPtTjfzY26ds5hxCHG8qawUuJCknw5rUHnwhj6XWd4WHA30hzOE6D4dhukuuywaKpNskrFieyOXGIT1aaNxV\/Qvxy+ZKOp7RKTssO\/HP5ikp2ymze2VFYJH+fs\/NiqNsXrSEt5S1pRPC08182ORTRqfKp7TdyBrcCMmTlpBLqVS8k2sDU3G6Pf+SLfJvo3+xfjl8y8tTGiXTQl45\/5jeVfbYkaE401VcrKuwp1JWgGdaNx+DGB6fTDv8W1X+GNfJCOZ\/ELrdMKmmkXlFWShNgO2efEwlhbbIsRrDk30c\/Yvxy+Y5GtEF+rvxz+Y7Y7emHALqy4q9v5Y382LQ2\/sKk2OXNW0\/wA9b+bDTS23Yki+kamaaSlRWALRKGrXRtv\/AHL8cvmWpanNEo\/q78c\/mPJG33hY\/wB7mrfDW\/mxU7fWFgL\/AEuav8Mb+bDMUFNxGQpKFJ056RfWrHRt\/wBi\/HL5kOR\/RLs78c\/mPG9P3hb+Lmr8L\/u1v5sefT+4V1P0uqrwv+7W\/mwz5LKRYKtqggxrJkhpKbd1jFHqx0bX9i\/HL5jkg0R7O\/HP5j0T0geFOeXdVHtTzfzYP2QLCR4ZeVb4a382GQk3MXGWFPqCUA9xMWnq00bXGi\/HL5ko6ntEptRjhnfvz+Y9sdIDhQ6Jy6qpPIGeb+bCQZ17TeKM5qYjDkrSE0OiBxLrzCXi65MLT6nfXYDdB13QOIB5CEVVJtMMDS6gdTGYxZLQ0OsbTJ9Bchy3ELFYajz48G23Z9e9tG3y7Vjo5o7i4YrDYf8ASR3puUpWfWk21f7y1bc0B4RcSdBYx4NjePbQA5x7RcT2hkNAq4jlHogg8CQIq0OyIo6ooQrxxe6Aa98hUwtR1sBYx6Q5a1jFo6Xvzi2HAlQBvGPfeDZJcsNT78HWHiD+WLSe2n2hFkvFKtb2Bi5tbgzNSrevYx4cIT3RalnN4lF9TqI8zCile6QdIq5Jq4PSlaC3L9eUEWg4LcYIt7aBuCNY8qBjRfRHMX\/c7Xvn5Yr9Eczyl2vfMWdsk2bojQXjAnpVL7ahYBR4G14wvohf5sNxbVW31adUj34OSZQ6DAeBa3jmty1Ckn2pcPudWHn7hKfHpxh7mXXR94NZYZmsZVOp119xAUEMueDMAnxJuq3+1DFsO45q2HJtM5IJb30KC0XJG6RzFiIcphTpHszcL0tqmjBmH51TKAhL77kxv2HPRcYWJjWk\/wBGbjLquApq+IV3+Y+TLTZ3wBlWhc1gzB1Nlp9aCku9SFvq09T1q7qsT47c4ZvjZ6uvVh9qQlEPBpbsw3LOocAlplx0uOvgoUEhaSEpBVcEJVoeV9rpTs0W1A\/S0wmSDoS5M\/pISTGG13XMVMHcwBhyRm1LfBmkpcdX1ThUUIstRF2lLWpCvVAlNyrdEW8JRqUpN1Okys4x2FxNOMcNuS6LWFen6KcJ40S3IVV+qS78iFNyyW23ppl1ZDjqepaKVJWl4KSASFIBCTZQsHC7H+dNbo2NFSM0\/MKQtszjLZsgloLLbzQTYDdKkkgAAJOn2sR3fT4qiKImiMYbpZQ06+607MlcypBfYQ2\/brSoXUtsPBVgpCydwgaR0eBtrHFGBK9J16m4Xo77slTfQxtDynSncLillZsoEqJWYycRDbjzeK4GswWIhRnszfNe5klvSJbGDedeHPTCZN0tp3FcnKB+rSbGiqxJpRdLiUjjMNgWHNaRu6lKQYj1rUFFt1JSpHZKSLFJGloeXhXpic6cK0Nigt5Z4PnGpfeCFvLmt4JJvY2csbEmGq5455Jzqx\/O5hjAFCwvO1QBc\/L0ouBh9\/m9urUd1ah6q2hOp1JJv05blcxJbKk1B7jlyu5tYGMd1BQd5PA8Y1hrT\/JpAiqK06N7fZbXvCwuTYeOJbaZaubALWoCwKiToAItOuBPHvt3\/wDaPbeKuqZlm2qVKpclmwgOBSwV9sqO+AbKve2o0Ea+Zq702+qYmQHFKI4k6AAAAeIAAAdwERckuARkBT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SR\/kZX5IPQrKr7m4T\/EyvyR4rlUl2Gf8\/kc15bJfu2p8fpHK\/sgeUX+EEh+NHywHpBMoeVdkB\/vR8sNq9CsqvubhP8AEyvyQehWVX3Nwn+JlfkivKpLsM\/j9I5bJfu2p8fpHK\/sgeUX+EEh+NHywfsgeUX+EEh+NHyw2r0Kyq+5uE\/xMr8kHoVlV9zcJ\/iZX5Icqkuwz+P0jlsl+7anx+kcS5t\/ZSHrLYgkO1w+qiLb237lKWCn0fkb7tv7KIb16FZVDhTcJ\/iJX5IDSsqzxp2E7f6iV+SKS1pt\/qM\/j9JJa7Wl7tqfH6RWntuXK5c0XfR2RsT\/AAo+WNnQtu\/KmWqQdcr0iE7p4uj5YRL0Kyptb0Mwn+Jlvkg9CcqfuZhL8RK\/JFOVN9hn\/P5FeW6XD+janx+k2+1DtiZb41NKNMrUm4GG3ArdcHNQt8UJjk\/tZ5eYKxK\/UqrVJdLbrYQO2I7c0nKoi3obhP8AEyvyQeheVdjem4S1\/wAhLfJFmes3altfYZ\/z+Rdhr0nCOystqfH6RVqT0j+SUogIXXZZPljdtdJjkWmwOIJU+WEO9CcqvubhPysy3yQehWVX3Mwj+IlouLWjJfqM\/wCfyIy14uXHLanx+kXcdJtkV93pb34orpNsi0i4rTR8sIT6F5VfczCP4iWivoZlX9zcJ\/iZb5Iktacl+oz+P+hDluv\/ANMqfH6RbZnpRciJVN3Kskj\/ABReLLfSnZCui6Kx5C2RCL+hWVWv9TcJ6\/5GW+SAUrKsepp2Ex\/uJX5IryqS7DP4\/wChTlt\/8bU+P0i0q6UbItQ7NTT5Bb88eE9JvkxNHdl6ik+2QIRr0Lys+5uEvxEt8kUNLyrPGm4S\/ESvyRHlSl2Gf8\/kSWu+3DLKnx+kWr9kNyonFJLc\/LFRIFutAjuMM7T2DcbMhFNcS51gtosWhrqaRlUtQbbpmEytZ3QAzKkknlwjmceYTpuAaeMd4IlG6Q7SnW3ZuWlE9Ww\/LqWAs7g7KVJvvbwHBJHdGblmsrD43FwweJw8qW27Jvfve77jcZHrnweY5hSwGMwk6PpGkm96u+HQun+I8\/rkTCzMNnsrJIjIZAtHEZX176I8Mys8F7xUhJ43vcR2zREdF2WdxRdjxMOhmXceUUhKElRKvELx6PC8Y9SHWU2bRc6srFr94MVCXQxneX+H3JWnzk\/UXFuVHE1SmKtNOnVSi64ooCvaSR+WF+wlgimyckw2ZZCllALiigG5OphLZVLyqiyiXbBDe6mwOgCRwhe6J1gl2SSB2B8UafETblc9\/lFGMKaiug3VGpVJlrNtyDSd03vuDjHUSsum1m20HeHACOYlnT12igbaaR2eG0IVMsuug7qTFujz5WLmYv0UNszGaM9NtpDMusC3G2ka+p0WaSlKXQU717pPMQrDM1KNSYdAQhKU3IAjjKlv1GdVNuKSlCdQPFG0r0Ywha92zyuEzOrVqO6skMA2+8rKfTMKSNcp8k0xMzk+EPLtqsWuDBHQdINi2UVI0+nzDjaGGZkHdWbC9u\/3jBFaN9nmvcXsdU2qu1UW9pXKZcliTc3eqCWkqvupAuSqxN7Du+PlDoMCYkdSzYLcSlNjdYJuSOMN+yxozjlURJzCQgKKUC377W53vfEOTp9NkqfJNS7CAlttIFuJPjJ5mMDEPnXXEzKEU6bjJbmdq\/UvRKTCgq9hbs6G8ctVUNONrC3gkHiTyjSYrx9J4BorlWnUKfN9xllBF1qPAa6cjDLM2M2M6akl6uyuIHaLKvb7jTaXEttNN3NipZAJ05jxRCzr8RhsL9mu1wQ7iqmRk2lkzbak7vAqAjQu1SSlQCXkG4CkpBvpaGC5ZPZn5w42boVGx9VqrNNKU4oIfV1RTzVe97C2twOUO+n8h8wqNlZWlS+JF1DEfgD3gral7qUPbhKU73jOlyIszw2xK1zd0sdeHO\/w3iCbQ+0I65XPoIwCUPzi0qROzCFgBix4BXAHx3iQrZpdxRMZDYMm8ZTq5yru01tT0wte8txJJ6sqJ1J3N3U8YiFwBkpMYwraKvWJx2XnJZ1xmdlHV9vribb19Dca+0be1EyWSE0xN5WYcaYc3vApJuSUCsqKS0kIsSeOgGp1jfUoRpRUYngsznVrTdWa3NndhPPvjIQk3Htxa3LjSLqCd8AxeNQxpHSLurZygrG4oi8m5wP+LCFVw\/8AgColJP8AaZ3zBhcekXH9Z+qnulHD\/wAphDa79YFR9xnfMGOT61OOA778hwHXdvlli\/vJeQiY8Kmf4dz8IxTwqa5TDv4Zi0rjFACeEdfsuo7rsR6i94VN+yHPwzB4VN+yHPwzFrdMUAubQsuobEeoveFTfshz8MweFTfshz8Mxa3VXsRrAUkcRCy6hsR6i74VN+yHPwzB4VN+yHPwzFkpIFyIIWXUNiPUXvCpv2Q5+GYPCpv2Q5+GYsxXdNr2hZdQ2I9Rd8Km\/ZDn4Zg8Km\/ZDn4Zi0EqPAXgKSOMLLqGxHqLvhU37Ic\/DMHhU37Ic\/DMWQL8IN0iFl1DYj1F7wqb9kOfhmDwqb9kOfhmLO6e6AgiFl1DYj1F7wqb9kOfhmDwqb9kOfhmLMFja\/KFl1DYj1F7wqb9kOfhmDwqb9kOfhmLO6b2GpgII4wsuobEeo6HBE1MnGdBCn3LGpyo9Uf4VMSeZzkpyoxcq9iKRM28XYMRe4G+vSge6kp51MShZ0a5T4u9x5nzZjkGsZf7YyxL\/u80ThGtZKOkGT7v+fzwFX2anFKy9kVk9rqUa+SFhCSCbIhIdmdIGXlPvyZRf3oWNIsTeOqt7z6Mh7KKJGmsc3mXiJeEMAV\/Ezcg7OmnSDz\/AFDXqlgJ1sfELnyR0yhYaRymZ06mRy\/rrjgH1SUWyN7hdzsfniDaS3lyK2pJIaxlJnHhjE80FB9hiYStJ6l1wBWv68odXQMSUWo05t5hxsgCxAOoMRV4yy3xu1inrcPUtxxcxMLWt2VSGm2G+IJsdNL6kQruzbjvHc\/NzOE5J96dfQneCFXKgpJ1F4wMTRTjtxZ67KsdKEnQqxt9\/QSHUxTL0zdLl0qN7QpFGlUiVbWkDdtaI9sbZ050Zalho4McW4lXZU9vJSod1+f\/ALRlYP6QPMZahJJwAiYcY7LjbLi3CFC9+ANvyxZwkGt5mZrONZKKdn95Iyt9xbHV6hCeIjRVZ8qYWlskEJNrHiYQvAe13Uq7JtMYny8qEmp3UPsoVonxhSRw7wYV9qebqsmioshQbdAKd9O6fKO+L2In1Gmw2EnCW1ONlcj4225Sfnq8zM1xDqJEPFC0KTxIHZUnvB096CFu266ZJPZTInVNIEzL1BjcXbtAKJB8kETwtT9GSzGlGpW2n0pF7D88ZesSNQkOsWW1gpQ2DqFaX5aC5hxss8XW0lSLki+h01hGafgM4NxPNSyyk0++5LpKrqSkneHvcNeUK9SKmwEp7QUQADflGuqVVKRtIUHCntJXNLjah1CoyinpGiIqEw2khlhZslazwB5Ad5PKEPzDyHfrdCrbecFVTVn6rLLYlUSSuoYpZIunqU8VqB0uriLjS8OuZnJd5vdamA06eFhGBV5cTLbjaVJcWBqpVov0ZumtpGMq3pn6GquaNE2Rsh04Sxuuoy1MdlaZKy6ZRc3NpKXZtYCgndSfUpFye\/vvzd+tjragtl5RSy6epUod3AEe9HFTNUTRphlxZCWkOJItzUTaN3J1dVWcD3hDKG0KJBKwPz8oi66m0um9zLr4KpFKcfZtu+4bdmzg5\/LbMQ1yWk0olai5uzG56lTl\/Vf7Q1Pj9uHGbL9ZcqNHrcmk3al5ll1Cf3u+gg\/zBGlzrl6BifCD7Uw42yu\/VlwEHcIsQr3497GUyiZw9W3d5KipcrfdGl91wfmjPw7W3so0WcQbwirSVm+j71xY4gIUTeLyRftWtHo24jnHoADS2kZ55ByuM96RY3yeq\/8AI3P5phDa79YFR9xXfMGFz6RkWyeq1h\/5Nz+aYQyu\/WBUfcZ3zBjk2tPjgO\/L\/wCwOCa7vbyz8SXkIkiLkCJTthTousBYpwdQc7s+ak3iCSr0kiepeHZR1bUultwdhUy4N1a189xJCQeJUNIiyHqhaHhbO+1VnVmTnLkHk9WsUrlcF4cxFRZGWo8gksMPpZfRuLf1JeVcBXaJAOoAjsJ3cWPpXdmTIzITA2AanlJl7JYdm6vVpxidcYddWXm0MoUlJ31K4EkxHXhfDlcxhiOmYUwzTXahV6xNtSMjKtW3333VBDaE3IFyogam3fEsvTfetxlf7uT\/AJhEMa6OOQlahtoZZtzaN5LNQefSDw30SzpSfIQDAEjuUXRs7J+zzlyjE+0WulYjqwbSqp1OuzvUUyUcV\/cmEEoSUjhvL3lqNyN0dkdTTdmLo1do2QnsPZc0bAs\/NNtXU9haqdVNyw0AcHVr5Ej1SVJvYEHhDe+m8r9Vabyuwu1NuIpr6qjPuMBRCVvp6pCVqHAkJUoA8t495hjuxDi6vYN2s8qp\/D8+5LOTuKqfSpjcvZ2Vm3ky7zahzBbdVx4Gx5QBm7aeynV9kvNc4KdqTtVoVTlxP0SpONhC32N4pUhwDQOIULKtobpUAAqwb\/EtfTg0eQcwdlTXi0ROS1TqkmhYGhbcaYWoHytJt7Z74iUgASCSABck2A74l82R+jByhwhlpJZr7VEszU6tPSSak5SpycMvTqPLqSFgPkFO+6Ent7ytxJuADbeMVmVcnLz+ZuEZGaQFMzFdkGnAeBSqYQCPjiZTpha5UqFsmytNpc2uXl6tiSSkppCFEdaylt10INuI3m0G3iEAbyi5K9F1m3PrwHhKh5W1WpuhTKZWkVJLc2bDXcU04FkjXVJvEdnSE7CrOybXaZibBFSm6lgbEr7rMp4WQqYp8ykb\/g7igAFpKblCrA2SoK1F1NNwxiOtYRxDTcVYdqDsjVKTNtTsnMtGy2nm1BSFD2iBE3fS2U6Tq2xhUKnNy4U\/T63S5uXXbVC1OFokf7Dqx5YAg6pNNnqzVJSkUyXXMTk8+3LS7KBdTjq1BKEgcyVEAe3EzWRXRm7NGReXLWNdpY06v1sMIeqczWJzwelU1SrXabRvJSqxNt9wqJPqQm9ojP2F6TJVra+ynkagwHmU4llZncIvdbJLqPeUhJ8kP56bvFNckMJ5WYOk6g6zSarP1WfnJdBsl96XRLJZUrv3RMPWHeu\/ECAFro+zl0Zu0E3N4Vy\/omX1Unksne+huphqcZAHq09UsHS41II74i625tj+rbIuZUrRJWemarhHEDK5qg1OYCQ6tKFAOsO7oALre8gkgBKg4kgC5SOF2UMQ1TC+0rlnWaNNuS803iWQZC21lN0OPJbcSSOIUhakkcCCQYk16bKRlncj8B1BSLvy+J1tNq7krlXCoeUoT70ARF4LwdiDMHFlIwPhOnrn61XZ1mnyEsggF191YQgXOgFyLk6AXJIETOZZdHHsf7N+XjWItoN2kYhqW6gVGr4in+op7LpFy1LtEoSE6GxXvOHU3A7Ijw6MWnSlR208AibZDngypyZbuL7riZV3dPkhzXTd4gq30R5YYWTOuehYkahPmXv2C\/1jbYWRzITcDuue+AHLSWyv0be0lSqhRMtqPgicmm2jvzWFKmG5uVJ0DgDa9bG3qkqSdLgxE3thbL1d2Uc3X8vqjUVVOlTbAqFFqRb3DNSilEDeSNErSpJSoDTS40Mbbo98VVrCu2PlhMUacWwahWU0uaSlRSl6XmEKbcQoD1Qsq4B03kpPECHndOLTpUNZPVhLYE0VVyWUsD1TY8CUAfaJP4RgCMPA\/wBelB91JXzqYlBzo0ynxb7jzPmzEX+B\/r0oPupK+dTEoOc\/rUYt9yJn+YY5BrF985Z3vNE4NrY9\/wCT9\/zwFe2Zk72Xcj\/qUfFCw95txhItmNBVl7TwOHUIv70LBu2A01jqT4n0XHgeN7xQnud6ycFKlkpVeZmmm9DbvP5oUMg31hJto+fNLwfIz4JCGZ66iD3trtEZ+yzKwzSrRb6xBsZ5aU+nMs12Vqj6HHWxdkneuffGusKTsVZNSEniSfxpMBSytXUoWsaaneUfzQ3uTxvXM1MyZLBtOqZkJeXHXOqLlt4BSRuDuJJ94GJJsqsHMYOwO02gJQUo3nLJv1iibmMBU5Sdj1eJr04UXOPHgv4st52Za0LH+CanIzVIlX1jddZKxa5TwTflf88R0YP2c8L4UzWk6li3DFRSmQedKZd5X7WfKid3eWhFwkX9Tz01ESN4yzBptFoU1NTzDwk0BIdcsRupvxtzA5+KNJTm8PYlYQ6821MtOJBbcIBtcaa+9EJbUJ8ziTy+hKOF\/rcW4p7n+QmeDsq3KXUW6vhbE081JPauUebWqYk9R\/cusJdbI5WVu8dOFlolZB6SpqULIDgvew7PkEVp1LlqGnstJUgHRSOAjHrNZCEKAVokgRi1bw31HvZenL08lTormiKbUWGmcW4GRSpqfSwTMocG8neCiCOV\/bgjX5h1kYpxRIUNDIWygOqc52KQqxFvHcQRcpelUeaQq0qU5c4U\/FUm83MNJnhuun1Cr+qTy1j3SRMBIBSSLA6DlHDJk26fKejjVXqk4mouIW6ibmlPIl1hO7ZsHVCe8XtfWOtw9WCpIS4kqGgTuHTxxg7rGUpOCOtkJglRvfeToNbRWq1J5xs+DrSN4W7I1I8cWLoQ2hRICja5JjHUypboWHlLRY3JGggpuPArGMJTU5I5J9idruKZSRXfweRQqamO7fUN1CT\/AMx8kVxXl3Q5tCFKkZ6ZcWb7jU6+21vcbqShYSrxgi0bDEk01Q5R6cZZcWp9aQUNJu47b7UQiWYePdpvEsu7TsD4TkMEU4dgzNRdTMTrwue0lLZKEC2o7d9dQIv4ZRqP7zYSq1ptKjw6jVY\/wxPyLM3P1ivqo9LkZoBhiamVKQsEDVIUTfXSwhfdiaclX6NiN2QmUPsddLWdRbdUbO6wxCqZPV+uhyr5q4+qE9MMvl0SXXdWwSeVtVK1sBdXi8cPq2JKdTqTg+vNU5tLaEzbDYSngEpbNvjMbvD01Cx5XSSjUowW0mr9bu\/\/AFwHQ9cQkXMXg8dCeYMaxxzW29GT1m8hGsZiPD7rDTekXXv5QVYc\/A3P5phDq79YFR9xnfMGFq6RNf8AWhqyv8zc+KEVrmmX9R9xnfMGOTa1OOA78vIcC13bp5Z+JLyESSuMLJsZ\/ZYZSffhTPPphG1cYWTYz+ywyk+\/CmefTHYDu5In033rcZX+7k\/5hEMk6NT7NTLj+VTX9Fdh7fTfetxlf7uT\/mEQyLo1lJTtp5cbygLzUyBfmfBXdIAdT04H9u8qf5JVP57EMT2Svsp8nvv6oX9PZh9\/TftqNZypcsdzwWqJ3raX32NIYnsjMOvbVGT6GUKWoY4oayAOAE60T7wF4Ake6b71tcsfdye8wiIhol26b11v6XGV7RcSHFVqfUEX1IDDdz7QuPfEREwB1+T3rt4K++Gnf0hES\/8ATOfYu0T775T+jzERAZQKSjNjBbizZKcQU4k\/8QiJgemZbW5st0ZSUkhOLpQqIGgHg8xx8ukAQnjjE7PSt\/YPVv3Ro\/8ASURBQEi\/HWJ1ulfPU7Edbae7KjU6QgAnXeEwjT8hgCKjYB+zKyo93keaXD1OnJ\/seTf+lXv\/AOGGVbASko2ycqCsgD0fQNTbUtrA\/LD1unHSVM5Nrsbb1fF\/H+0YAjw2cfsgMuPvppf9JbiU7prfWDwZ99af6K9EWeza0t3aDy3aaSVLOKaXYDn+2URKX016kpyEwUkqF1YrFh32lXoAY30W\/wBmpgj\/AFU\/\/RXIX\/pvvXGyx9xZ\/wA+iG\/9FypKdtPA5UbXbnwPGfBXIcF03qD9MTLBZFgaLPi\/j69v5YAaBsNfZf5R\/fVJfz4fd05H9psnf5TXP5slDFNhVl1\/bAylQy2pak4nlFkAcEpJUo+QAnyQ+npxlA0nJ1skJUX66oAnUgJkvlEARe4H+vSg+6kr51MSg5z3+lRi233Hmf5hiL7A\/wBelB91JXzqYlBzn9ajF3uPM+bMcg1i++cs73micG1sf8QZP3\/PAWbZiBOXcj42EfFCvwkGzGrcy6kD3Mo+IQsBFjHU2t59Gx4FtVuUJXtL0ldUydri22gtcl1U0NbWSlQCz5ElR8hhU1HUiMSrUyTrVLmqPPsh2XnmVy7qDwUhQsoe8Yo1uJRlstSIoKSitUeoOu4ectUW3w6txC7qLl9APED+usOPwntM7QMhL0nDM3iREkpaDd9tkPqNjpvoXYJ05gm8JVXcu5OlYgrmHqs65IVCnVV9nr0qCF6KJSoE3GoKVa8biFSy+oWIVuylMpOO6LVnGDZtFSkE9chJHqN9PG3I242jDmnbdxPYZZhnimudx6N3+I43BmLpnGVJmKfmTi1usqWkjq\/A0y4CCkixAUre566e1GkwK7UcosSN4LqM0qoYXqTxVQamo3KL9rwZ1XJYHC\/qki\/fatGwzma0ptYouHJtxoWAU+81YEWJ0Rx8caeXoeJ5eu1TLfE8mzLS9UZXP0yaYdW402+gb6d0qSCCldgdLm5HONdXlK93uPQVIvD\/AKO+7q6BwLtYfbY65DhLX2xuCAO+ONxXitsMutNubylaItzJ0ABHE3I9qOIxHj5dMpsvIqdb8IUgNKS4sbpVZKuV7d9zHA17FTTE28HZxQXLJWtDqhdCjbQkgcR7VtREIwdXnM1tTEQoO0To6HPhOM1KVMJeU1vlCQk7yiUG9k30Aur27k90EajLKizeK6wmpoT+1kpcWt1XPfHZTbvFj5IIvOTi7FqleUbi4t4Tn8PTE9grEDeo7LbpT2XB9qtPiOkcm27VsF1Ayk0FqlwbNuW3gEnv7ot7Ee0xhnaZwFKZWZjVHq8xsMS3VtTTqx1tTlUABMwgk3UsAgOJOtxvc9FmxLgJ+UIka7Kh5tV0tzSUkIUOV\/3p8RieMwMsPJuCvE1WAzWGNgqcnaaXT0nESuJkTrKVNOpBGqyfFw\/JGezXZhCfB9VKXckcbRyFfwZPYdedmJR1aJfe9UdUm\/LxGNfL43bpquoqaQ24baqFwQByjAcdrcjawrOLW3uQoZkHaiGXnHFpLLm8ARYXjErVPmZyXVLoaVvL0SRyjUyuZtPbQ0lJaKVC43SBFqsZ2YZp8ot16fZaLYJJK0\/mOvk1iCw1Ru0TKhmVOm7nC1PIqiNzz1Xri35meWd5JfdKg0O5A4CFb2YUytNnMU0enNK6mWMnvAKv2\/qoJv5BDQ83ttTC0g28mkzRn5hBKd2X7e4b6AkaDh3xw2TfSb1rLGnTdMTlRTKm5PTipuYmXao4y+5oAASEKGgAAFu\/vj0GDw9SPOqM8xpBmdCvD0VHe+lkuwDoSHVp7I5GLyXxcDlyiP2ldLpgKs0t2VruWdao02oWStiabm2r+3ZCh73ljoMMdI7lLWFNMvYhMg8sAWnWFMpH+36n8sbNU2eOU7cTrekMc38o6sOXgbn82Ecrnrf1H3Fd8wYsbU+09lPm1lhWqFhzHVNnKqiVdvKBwpcV2TqgKtvDxi8X67f6AKjf7jO+YMcj1qrZeA78vIcH13Pallj\/ALyXkIklcYWTYy+ywyk+\/CmefTCNq4xekJ+dpc4zUabOPyk1LrDjL7DhbcbWDcKSpNiCO8R187uS49N6QcuMr7G\/9XJ\/zCIjAyNzQn8lc3sJZq06VE07hmqsT6pcm3XtJVZxu\/LeQVJvyveNDXsbYxxU0zL4nxZWau1LqKmUT887MJbUdCUhajY27o0gNjAH0AZlZW7OfSU5LUKry+J31sMjw2l1GlvtpnaW8tIDjLzSt4cU7q21C903SRoqOO2aOjLyc2Xsct5vVjHVSxPWaKl1cg\/UGmpSTkApBSp0oBVdYQVAKUvdF7hN7EQl4axvjDBc76JYNxZWaDN6jr6ZPuyrtj\/jNqB\/LG5xTnTm\/jiT9DsaZr4xr8qDcMVSuzU03fv3XFkXgB1fSp7T+EtoHN2jYTy9qrNVw5gBiZlUVFg7zM5OvqbMwppX27aQy0gKGhKVFJKSCem6PHYDyX2r8qq9jfMau4ukp+l15dLaRR52XZaU0GGnLkOsOHeu4dbgWA0iPoC8O62fduaqbM+y5iXLLLuXUnHOJ8RPTTdRcTdqmSZlWW+tQPt3ipCgkHRNt43sAQG8Zj0djLLOPFGHsMTMx1GFMTTsnT3nylTu7KzS0NKWQACqyEk6AX5ROFgTGmQnSTbMyMK4hnbPTkuyis0xibQ1UaVUGgPqrYIOm92kLKSlSTYj1SRAjPz87VJ6YqdSnH5ucm3VvzEw+4VuOurJUpa1KJKlEkkkm5JvGTRsQVzDs+3VcPVqepc6yoKamZKZWy6g94WggjyGAJl8p+h7yVy4x9I43xRmDXsVSlJm0TslS5mVYlmCtCt5HhChvF1INjZO4DbXS4KNdL3tWYKxjTaPs7YBr8tWHadURVsQzEmvrGWXkIUlmW3wbKWN9algXCeyDqCBH3Wc\/wDPXEdPXSMQ51Y8qkg4ncVKzmI5x5pQ7ihbhBHitHBKUpaipRJJNyTzMAdFlvjeqZaZg4bzDoZSKhhqqytWlgoXSpxh1LgSRpcHdsRzBMTv4qwzs49JfkJTOqxAZiWC0T7D9PfQmpUOd3N1bTiVA7p7RSpKk7qwApOm6ofP7G3w1i7FWDp4VTCWJqtRJxPCYp067LOj2ltkH8sATUbPXRW5M7PePZTNfEOO6riuew+4ZumpnWWpOTlHBwdcSkqLikjUEqCQdd0m1mgdLPtW4UzpxvQ8pMu6mzU6Jgh2YfqFRl3EuMTVQcCU7jahopLSEqG8DYqcUPtQSzbEueGc2MpI0zF+bmNK7Jm15epV6ammtOHYcWRHEqNzfvgBRNnjNubyJzpwhm1KShmxhyptTMxKhW6ZiWPZebSTolSm1LAUdASCQbWibvNvJfZy6R\/KagV6Sxa481LJMzSqzSHmzMyK3AOsYebUCOIAW2oAgp0IMfP\/ABvcLY6xrgea8PwXjGt0CZPF6l1B6VcI\/wBJtST+WAJt9mTo2Mmtk7F\/04KrjifxHW6Uy8JOcqSGZOTp6FoKFuhAJ7e4pSd5S7AE2AOoj76UTafwrtEZ1SFHwDUxUsM4FlXqdLTrY+ozU244DMutG11N3bbQFcFdXvJuFAlsGKc5M3McyiZDGuaeL8QSydQzVK3MzSAfElxahHHqIJvrAG7wR9etB91JXzqYlAzoNsp8Xe48z5sxF9gf686D7qSvnUxKFnQCcp8XW+48z5sxyDWL75yzv+aJwbWx7\/yfv+eAsmzIb5cSX+qR+aFhKtLkwjGzTMNy+W8q+84ltpthKlrWd1KQBckk6AW5xcr+1zs64cmH5aezQpjj0uSlYkw5MWUDqAW0kE6cjHWdhtn0VGaS3ivlQVyjyTY2MMRzm6SuVkHkUzJfDTc2Ek9bUawhQQeNg2yggkc7qUPahIad0ke0I3OOPTqMNzMuv+4Kp6khPtFKwfKTBUJPeQdWKF22rcPUylZ0S01U21syWKZJt7rEKCQXmbNuEki190NnyxqcPZMYNnMTSDtHzBnKPUFID6JV2yuyOaVCxtcdx4Q1fOLarzWzpclfotnZFEtTnVPSktKyiGw0six7eqzoBxUR4o2mXmc2P6tWpJKJdNQfossotKLgSvqd4XTqRfVQMY+Iwk5c6LsbjLMzp0eZUjfqJOqJNzGCKUiXqlQVPKbRdTjjhKlaXA1+KEdx9nrOnEIaEmA5LJWplZc5XtuhQ07r6d\/GG21bacxu5IJpBw5WnZopKFoDHq1HT1Qub6DhyjBp+Hs\/cw3UPHCz0q2T1rCX3UsIAOpCibqF7ai2sayGX7O+qzd4rOZ1mo0IsUmp5hViszyZOQWoImFKuhIKlai+6VXtxub8rWtGdTZOp4xxPJ4XaW4ElW84EL3lhPMqtoDb8gHdHrCWzTm7OKaViCu0qkShGrUlvzLqgTxFwLe2fHDoMoMnaBglsGTbLs0+LzL5JLxOliTyHE6ROU4U42iy3SwuIr86orI6HLrAQw1h9iSZt2EklJSBc3\/MLcYIUhMn1LCW208AOMEauTk2bSNbYWzDgQV4dr1awzWZLEeHKpMU2q055MzKTksvcdYcTwUk8viPA3iZTYp2yqFtM4XVhDGvgMpj6lsgTkoE7rVSaSADNMpN+P2yOKTrwItCu0r4o6DBOMcS4FxFT8Z4Pq8xS6zTHQ9KTjCt1bahy8aSLgpNwQSCCDaPbSSkrM5m+sn+xBltKTks4KWAkKFiw6boPiB5Q3bMbKCldpqpyM1IvuXCClRSlVuNraHyGO82PtrbDe03grrHUtU3F9IbQis0zeGpsB4QyL3U0s38aT2TyJXqrUemVuRcp1VkmZqXdFlIcTce2O4+MRqq2W05vahuZs8NnNeitirzl9\/H4kb8zlphmlz26mozpKVapVMKUk28UbjKrZ6rOPc3UYqkWJWWoGFZRLrrDo\/dcw8rQcDchDajrw3hC1Zk7MpwzMT+M8M4jk00ZlCpybYrMwUeBtI7Syl9VxuBIJ7eoA1UY4d7bj2aNmisSmA6\/iGbrc3XHy\/Up+ispm2KU3upQgv7it437StxAWsJ1KQSExDD4arTqrb4LpMvF47DyoOVJ859BD1Vkeg2La3RpdFmpWpTMvbxJdWkfFHqVoKqtMKWFFllsjrHLfkT3nSHObY2zxK4dxrMZxZdOM1bBmLi5U2ZqTWFtIUs7ylJI4pNyoH2xyhDJbcbkpZDSAE7l7p+2UTrf4o3Owkef4FyRbkaehLUpJtpAFlKWN5aj3lR+LhGLXaKipt+GU5Abm0JupsJ3Q6B3cgfji8ACbg+37fP8sXmnCCNTpwhYoxPqqpT0ipLyLLQDcnjccolBrmuX9Q9xXR\/0DEb2N5Rl6UcnWUpS7btgcFD5Ykhrnrf1C\/3Fd8wY45rZ9vL++\/IcF12+1ln4kvIRIq4xSKq4xSOvHeAggggAggggABsbxUm9tLWikEAEEEEAEEEEAEEEEAEEEEAEEEEAEEEEAbvA\/150H3UlfOpiT\/O1xLWUeMHl33W6NMrVbuDZvEYGBvr0oPupK+dTEnWfHrL449wJzzSo5BrG985X3\/NE4PrY9\/5P3\/PAZZmFtIY0xpQJXBFMqL9LwxKthtcmyvdM2dO08RqRpongISt2oPkKJcub3FzwMYcoyVMggceMXzKKVrxjtCh1He3JviYi3XHFbyj\/wC8egs2jJTJm+qYuiSBTcgRXYkEjA3zvi\/fCh5J1uUpuOA1NO9X4dKuyzRvYdYSlQB8iTHCvSW6N9J4axjNPPyswmYbVuONkKSocQQdDFupTcouLLkKnopqfUO3lVT8pX5apUjqPC2nQpKXQSldrWBHj1h4mAanN4ukG5ielGZZ9KQHWULJbBA5AC\/\/AGERu0HO1KWZdNeprqpiXsBMsKHatzKT+Yw4fL7axy7osq2uo4hm5ZywCkGTdUTYcbpSR+WNHXw1ZcEevy\/H4ZSvKVr9Y+TDxU46JJ6Z7A0P1PdKj47fHCl0WUaaSjcSQnmBYAwwJ7pBcrsNN9ZQ6TXq4+dQAymXa3v9JZ3v+WEgzN6Q\/PPHCHaVhR+UwZTFJKSKeSucWDxCn18NLeoSk68Yx4ZdiKru1ZfeZ+OzvCQhswnd\/cSP547UWTWQbaJfGmIg9VXQhTdIkQHpwoUdFqRcBCbXN1EXtpc6QRCPPVWcqc27UqpOvTk5MrLj8y+4pxx5R4qUpRJJ4cTBG1hktJpbTdzyss4qt82KsXZebLiVJUob45RntukBITwAEaWU6xLQ64gnkecZ7TotxjONTxFAymzUxhk5jyl5h4GqHglUpjm9rctvtn1bTiRbeQoaEeO\/EROrs858YS2iMtKdmBhh9tDjqQ1UZLfu5JTQA32lDjbmDzBB74+fRp25haNmXaZxjs3YvmqhQJ4po9bZMpVWCnfCUn1MwhPAONntA8xcHQwtci0O\/wClE2pWK21NbMGXtWRvNqbdxY+h2wJBC2pFNuJvZbnL1CdbqAjBXKuMPmXmWVJN9QoWMSRudH5lNjDCVMzZquY+JltY1nBMPVSXCHESa3z2HlhW8Xklw9tW+CN7e5WLSdpPZpzC2YceDA+NpqTrNNqbC5uk1KXWd2Zlgrd3iCN5taTa6dRroSNYW2UUH3bGGX8tifZwplPxLM+F4bcmHJKpS6wP2kH0pWzMpv8Aahat1Y4EKv8Aawy7aXyGquzZmzN5fVGZS\/S5pAnqPMJuUlhaiAk31BSRYj2jzh2fRd5t4bqCq5khiiooM1NyaW2paYSEonEpvbq9dVdWTcWB7NxCn7bGQzmcWUyHkvKVifLmdcp3hS0jfflHQnqFun96SWd5X2v1RXI3k3fcyrSIqiBfd3Ck2vaDS97x4QZhBekZ5tTU3LLUy824LKSUmykqH74EEEHuj2QB3J8cRKNGhxYr+prlu4xJDXPW\/qN\/uK75gwwfE+V2MpnLk5iMSLPoCpx1oPdclTg3LBSihNylNyACbXN+QvD965cZf1EEW\/qM75kxxzWz7eX9+XkOC67fayz8SXkIklcY7\/Z\/wDSM1M7cD5b1+Ym5enYmrsnS5p2UUlLyGnXQlRQVAgKsdLgjxRwCuMLJsZ\/ZYZSffhTPPpjrx3gcP0iuwxlTsj4TwdXcvMQYnqD2IajMycwirTLDiEIbaSoFAbaRY3Vre8MTiYzplcL4jxthjKPCuEqFPVisVHEM8xJyMkyp599Zl0GyEJBJ0BJ7gCTDGnOjF20mqL6N\/SiWtHV9Z4MipypmbWvbq+svfxQA1iCNhiHD1cwnWpzDmJaTN0uq055UvNyc2ypp5h1JsULQoAgiNfABBC25L7GG0hn\/AEkYhyyy1nZ6jLUtDVTmXG5SVdUlRSoIcdUkLsQQd24BBBNxHZ4z6NLbJwPSHa1UMpXqhLspKnEUmeYnngkC9w00srVw4AEwA1+CLjjC2XFNPJU2tCilSVCxBB1BB4GFEyX2eM3doOo1KlZR4Tcr01SGETM422+211TalFKSesUL3IPCAE3gjqMzMtMaZP41qGXmYVGVSsQUrqfDJNTiFlrrWkOo7SCQbtuIVoecbTJ3I3M\/PzEkxhLKjDDtcqspJqn3pdDzbZQwlSUld1qA9UtI431gDg4I7XNzJrMXIzFZwRmhh5dFrQlm5vwZbqHD1S77qroJGtjzjpsjtlXO\/aNlKtPZR4RFaZojrTU8ozjLPVKcCigfVFC9whXCAEkghdcE7EW0vmHjbEOAMKZazU3U8KziqfWHS+03KSkyLHqlTCldWVWIO6FE214Rl5w7B21FkXh13F2PstJhFElgDNT9PmWp1qWTcDedLKldWm5HaVYeOAG\/wRs8PYbruLKzJ4cwvR52rVWoPBiUkZJhTz77h4JQhIJUfEBDnaH0XG2nXae3UW8rWZJLo3g1PViUYdAtzQXLgwA0+CF7zS2E9qnJ6mP1zGWUNXNMlUlx+dpu5PssIHFTimCrcSOaiAB3wgqgEm17wBusDfXpQPdSU86mJOc+PWXxx7gTvmlRGNgb69KB7qSnnUxJznx6y+OPcCd80qOQaxffOV9\/zROEa1\/f+T9\/zwI15A\/tdPtRmNrtzjAkVfUUjxRmpsQbHhHcKZ3c9ld\/ljwTfhHlSjyGkUN+JGkSJX3WKCyrju4xivMne3kAHvBi+o9oW5R6KgRcGIyVyJhFDQVYEt31sYuJZKz2XkjhxVF1QB4ge3aPPVoIukXtFvYRNNlQygA3eBvppraLiW276KJA5nnHgKFxugWHH9RHq9zcGJKKSuRbLilFPAI04aQR40U3vgkgG2mv6+\/BFNplD0gB3tINrxfQq50Fow1KXLOlxCbtq5d0ZbTiXUb6QIxifRYvocUk6ExlIeSUkK4eKMAL4+KKtuqCgDFbXA+\/o7dp2Qok3MbNGatRaGFMUb7dDmJtR3JGeXcBkk+pQ4bbvILtw3otdIqMaVxOWtWq8k43O4dVV8MzS3BYrdZcl3Gd7xrbKiD9sBvc4Y7vrACkLKFA7yVJOoPih6GIsy6vtTbKsxV5mph\/HuWDkrNYkkgm6qrS2krbaqSRx61lDikukaFClE2smK2K7htuFsa1jKbM+g5g0t55oyrzTxUgahIPcOJFr28UTj4KxPhnN\/DdHx1TVMOU3G1KcpdRS0vebUvq1KSL87DrQDxIUmIJMTKbqFLSVFO8gDcIMOx6M\/aiTgrGrOQuP6whrDeI5hCqLMzCrJkqolQU0jePBLqhui\/2xA+2ij3byL3GJ0gOz1VMvcUSmbtKpwbkK1MqptbLKLJarDQP1Yi2iZpsJeB4bxWDqRDRqlPvOtMsSKFddNuJZSlCbqBOmneSdB4zE92emT9EzhwtiDLbELe7IYwpxbbmQAVSdRYF2XgDxPA\/7q3BUQT1ikVrLfG07h2vSnUVPDtQXLTTBvZL7Kim4B42OoJ0sfHC9yt9x34zopLWRq8tWKLNSM6wJqVmg8RuKHcQeCgb3NrhQPG8O\/rnrf1Cyr\/1Fc1\/3BiMOsTE\/LIfXNuKdM1vnrlHVwXNyT33NzfviT2ui2AKiCLWozvmDHG9a\/HAd+XkOC67fayz8SXkIkVcYWTYz+ywyk+\/CmefTCNq4wsmxn9lhlJ9+FM8+mOvHdyarbm2nsO7J+BqLmQ\/gyWxHieanHqZQGX3OrSypxAU+4V2JCd1tIISLm4FxeGsbNXS94kzKzboOXObeXtApdOxNPtUyVqVIdeQZV91QQ11iHVL3kFakgqBTa97W4bDpvvW4yv93J\/zCIi4yZUpOcGBlIVuqGJKZY9x8KbgCSbpqcncPytPwVnnTKZLy9Um51eHqrMNoCVTQ6lTsuV\/vilLTqQo62sOAFmKbGuScttCbSGDMs6km1KnJxU5VbX\/AHFLoU86jxFYb6sHkXAYk26awf8Awy4S+\/uV\/wDT5+GW9EeUjbKo9yLmh1Sw\/wBz8l4AkP239teibEGGcLYHwBgqn1GvVSUWKZT1\/UZCmyLAS2lS0tkLIJO6hCbAhC7qTYBSN7HXSv4nznzapOVGc2CaBTF4jdVKU2p0NLzTbcwQS2280844SFEboUlWilC4tchFOmu3jn7gokaDCabfC34adsgdYdqLKzq73+iqn8OP9mTeAHd9MXs\/4ewLmDhzOvC0o1JN42D8rWWG07ra59ndUmYA\/fOIWQrldoHioxtOhD9cvM4X09A5L+kKhUOm5t9KvLa1h\/4gmv6NCX9CGbZmZm+OhSR\/\/IVADeelD025cybf\/Sf\/AEqUhV+hb+yZxKP\/ALOmf6XKwlPShg+nkzIJBF\/Qm1\/cqUhV+hcFtpnEh78HTP8AS5WAOf6YT7LpXjw1T\/jchw\/Qe\/Wvmv8Ay+lebfhvHTCfZdq+9qnfG5Dh+g9+tjNf+X0vzb8AZW1v0n9Y2eM3a\/k9kVlrhd1VFnVLrVSq7Tq0TM+6A4\/uNsONm4Kt1S1KJKgdLAEth2qukzzB2l8nqXlenDDGFC++p7EblPmlqaqCUkFppAV2kN3upSVKVchOtgbpDt0\/Zf5s\/fLNfGIQqAJTuhPyvwtPJzBzfqUizM1ymvytFpzzguZNpbanH1I7lL+pi\/GyCBopV9dtK9LRnxgbOPE2X+XWDcLUylYZqj9NSuqyj8zNzKmllClLs6hKQSCQkJvb7Yw3DYF225rZDxfV2K7R5msYMxMlr0TlJYpExLvtEhuYa3jukhK1pUgkbwI1ukRIFWNvLoxs4VtVPNWkUacnt1KArEuBHJ59sAaDrEsPWA4aKgBGcu+mvnjQalLZtZQy71WTJOeAP0B4olnpndO4h5p9ZU22TbeUlayBwSYjSx3i2o49xhWcaVaXk2Jytzz0881Jy6WGG1OLKilttIASkXsABwETZMbJ3R17W2DqjO5RUjCyXEoLKqlhNwykzIuqB6tTkvoEm+oS432gO6IZM58r65ktmpifKvEakrn8NVF2RW4kWS8gG7bqR+9WgoWPEoQBpsDfXpQPdSU86mJOc+PWWxx7gzvmlRGNgb69KB7qSnnUxJznx6y2OPcGd80qOQaxvfOV9\/zROD62Pf8Ak\/f88CNGQ\/sSYzUkkm3kjBkQQwkxltkm4747dTe47wewbG5F48lwXvaPZBNgs3HId3kjwsXI+WJgtr1BN+MUSDbvj0u4GvEd2seN5PEi8RbBUC5uI9eq05\/r7cAuUWOo7uNvJrBug8Rfyfm1glcrcCb3SdD7f\/cQeqsLajyx6OoCVG9uV+HxwHdKdRc8v+2sSfApx3gCTx96CPOt7Lt71\/yC8ERBbpswJlgtOKutPGPSAqVdCSfqZ\/JGppT5anFk6aaxvXEh5oLNiIxUVu0XAQtQWDpB3HmOMWWVlPZNyBGQ4lG6Sgm8SJXue0OEi0dvkxmzXsk8yaPmHh9CX1yLhROSTgu1Oyi9HmHBwUhabgg87d0J8FlB1MX23Eq4kWgUFhz4wvRMI4wmRhJKl4TrjDVaw49y9D5kFSG7jm0sOsm+t2ibaiEZL7kvMB1hxSFtqC0LSbKSRwII1BBsbiOv+iV6r4EbwvUZwKdoDy3af1x1Eo8R1rSD\/iOhCwnucdPKOGcdUVG9xrwgylydPYF2jXNpTIyQdxDNIdxhgx1qnVg\/bPFKfqMyRx+qthVzwK0uWtoIab0suRLGGccUfPOhU5LUpikCnVdbKbJ8PaR9ScVbmtlBTfn1OuphvvRy55KyX2l6C1UKiZeg4yUnDtTSpdmgp1Q8GcWOHZe3Rvcg4vvMS67YOVjeb+zvjDB6JdLk4ZFU5IaC4mmfqjVu4lSd32lGLXBhM+fOuuXknG1gKBBtfkbcR44k8rg\/rf1HX\/5K75gxF\/iDssrSQQbHQ6EacxyiUGu+t\/UfcV3zBjkGtr28v778hwbXdunln4kvIRIq4wsmxn9lhlJ9+FM8+mEbVxjb4OxZiHAeKaVjTCdSVT6zRJtuekJpKELLD7Z3kLCVgpNiL2IIjrh3glg6b71uMr\/dyf8AMIiLfJr138DffLTP6U3HUZzbU2fO0HTaZSc4cw5jEcrR33JiSbdkpZjqXFpCVKBZbQTcADW8JnRqtP0GryNcpUwZeep0y3NyzoSFFt1tQUhVjcGygDY6QBMv01n2MuEvv6lP\/T5+Iv8AZDzsTs87Q+DM1JpBXTqbOGXqiBe5kZhCmX1ADipKHCtI5qQmKZw7XO0Rn9h2Vwlm7mVM4hpEnPJqLEu7IyjIRMJQtsOXZaQrRLqxa9u0fFCPE66HSAJ59srY4wZt34GwvjbBGOZOQrUhJqfoVYbT4RI1CSmAlYbdKDfc0SpK03KSpXZVfRINjbopalkfmdTs2s4scUmsz+H3S\/SqXRkumXS\/YhLzzrqUKVu3uEBFr2JUbWMaGUW1ZtDZDyypHKjNar0ORKlL8BHVzMpvE3Kgw+lbYJN9d2+pjrccdILti5i0d2g4ozzq6pF9JQ63T5SUpxcSRaxXKtNqI8V7QA4fpgNorDuZGZFAybwjOtzsrgMPu1aZaUFtmovbqSyCP4JCLKP75wjimOI6JnOGg5XbTfoFiapNyMljilqoTLjzgQ34YXm3JcEnS6lJLae9SwOcMqWtallSlqJUbkk3JMUQpSVhYUQoG4PjgCanb06NSsbTeO2s3MrsWUij4kflmpOqSdWDiJabS0N1t5LrSVqS4EBKCCgghKdRbXf7Aewi3sh1yo17HmOaVWMd4kp65ZmSp28JeXkm3EKdKFOBLjpKi1vK3EhPZFje8RlYK6RnbLwBQ2cOUHOudekZZstMJqVPk59xocrO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KmWqQdcr0iE7p4uj5YRL0Kyptb0Mwn+Jlvkg9CcqfuZhL8RK\/JFOVN9hn\/P5FeW6XD+janx+k2+1DtiZb41NKNMrUm4GG3ArdcHNQt8UJjk\/tZ5eYKxK\/UqrVJdLbrYQO2I7c0nKoi3obhP8AEyvyQeheVdjem4S1\/wAhLfJFmes3altfYZ\/z+Rdhr0nCOystqfH6RVqT0j+SUogIXXZZPljdtdJjkWmwOIJU+WEO9CcqvubhPysy3yQehWVX3Mwj+IlouLWjJfqM\/wCfyIy14uXHLanx+kXcdJtkV93pb34orpNsi0i4rTR8sIT6F5VfczCP4iWivoZlX9zcJ\/iZb5Iktacl+oz+P+hDluv\/ANMqfH6RbZnpRciJVN3Kskj\/ABReLLfSnZCui6Kx5C2RCL+hWVWv9TcJ6\/5GW+SAUrKsepp2Ex\/uJX5IryqS7DP4\/wChTlt\/8bU+P0i0q6UbItQ7NTT5Bb88eE9JvkxNHdl6ik+2QIRr0Lys+5uEvxEt8kUNLyrPGm4S\/ESvyRHlSl2Gf8\/kSWu+3DLKnx+kWr9kNyonFJLc\/LFRIFutAjuMM7T2DcbMhFNcS51gtosWhrqaRlUtQbbpmEytZ3QAzKkknlwjmceYTpuAaeMd4IlG6Q7SnW3ZuWlE9Ww\/LqWAs7g7KVJvvbwHBJHdGblmsrD43FwweJw8qW27Jvfve77jcZHrnweY5hSwGMwk6PpGkm96u+HQun+I8\/rkTCzMNnsrJIjIZAtHEZX176I8Mys8F7xUhJ43vcR2zREdF2WdxRdjxMOhmXceUUhKElRKvELx6PC8Y9SHWU2bRc6srFr94MVCXQxneX+H3JWnzk\/UXFuVHE1SmKtNOnVSi64ooCvaSR+WF+wlgimyckw2ZZCllALiigG5OphLZVLyqiyiXbBDe6mwOgCRwhe6J1gl2SSB2B8UafETblc9\/lFGMKaiug3VGpVJlrNtyDSd03vuDjHUSsum1m20HeHACOYlnT12igbaaR2eG0IVMsuug7qTFujz5WLmYv0UNszGaM9NtpDMusC3G2ka+p0WaSlKXQU717pPMQrDM1KNSYdAQhKU3IAjjKlv1GdVNuKSlCdQPFG0r0Ywha92zyuEzOrVqO6skMA2+8rKfTMKSNcp8k0xMzk+EPLtqsWuDBHQdINi2UVI0+nzDjaGGZkHdWbC9u\/3jBFaN9nmvcXsdU2qu1UW9pXKZcliTc3eqCWkqvupAuSqxN7Du+PlDoMCYkdSzYLcSlNjdYJuSOMN+yxozjlURJzCQgKKUC377W53vfEOTp9NkqfJNS7CAlttIFuJPjJ5mMDEPnXXEzKEU6bjJbmdq\/UvRKTCgq9hbs6G8ctVUNONrC3gkHiTyjSYrx9J4BorlWnUKfN9xllBF1qPAa6cjDLM2M2M6akl6uyuIHaLKvb7jTaXEttNN3NipZAJ05jxRCzr8RhsL9mu1wQ7iqmRk2lkzbak7vAqAjQu1SSlQCXkG4CkpBvpaGC5ZPZn5w42boVGx9VqrNNKU4oIfV1RTzVe97C2twOUO+n8h8wqNlZWlS+JF1DEfgD3gral7qUPbhKU73jOlyIszw2xK1zd0sdeHO\/w3iCbQ+0I65XPoIwCUPzi0qROzCFgBix4BXAHx3iQrZpdxRMZDYMm8ZTq5yru01tT0wte8txJJ6sqJ1J3N3U8YiFwBkpMYwraKvWJx2XnJZ1xmdlHV9vribb19Dca+0be1EyWSE0xN5WYcaYc3vApJuSUCsqKS0kIsSeOgGp1jfUoRpRUYngsznVrTdWa3NndhPPvjIQk3Htxa3LjSLqCd8AxeNQxpHSLurZygrG4oi8m5wP+LCFVw\/8AgColJP8AaZ3zBhcekXH9Z+qnulHD\/wAphDa79YFR9xnfMGOT61OOA778hwHXdvlli\/vJeQiY8Kmf4dz8IxTwqa5TDv4Zi0rjFACeEdfsuo7rsR6i94VN+yHPwzB4VN+yHPwzFrdMUAubQsuobEeoveFTfshz8MweFTfshz8Mxa3VXsRrAUkcRCy6hsR6i74VN+yHPwzB4VN+yHPwzFkpIFyIIWXUNiPUXvCpv2Q5+GYPCpv2Q5+GYsxXdNr2hZdQ2I9Rd8Km\/ZDn4Zg8Km\/ZDn4Zi0EqPAXgKSOMLLqGxHqLvhU37Ic\/DMHhU37Ic\/DMWQL8IN0iFl1DYj1F7wqb9kOfhmDwqb9kOfhmLO6e6AgiFl1DYj1F7wqb9kOfhmDwqb9kOfhmLMFja\/KFl1DYj1F7wqb9kOfhmDwqb9kOfhmLO6b2GpgII4wsuobEeo6HBE1MnGdBCn3LGpyo9Uf4VMSeZzkpyoxcq9iKRM28XYMRe4G+vSge6kp51MShZ0a5T4u9x5nzZjkGsZf7YyxL\/u80ThGtZKOkGT7v+fzwFX2anFKy9kVk9rqUa+SFhCSCbIhIdmdIGXlPvyZRf3oWNIsTeOqt7z6Mh7KKJGmsc3mXiJeEMAV\/Ezcg7OmnSDz\/AFDXqlgJ1sfELnyR0yhYaRymZ06mRy\/rrjgH1SUWyN7hdzsfniDaS3lyK2pJIaxlJnHhjE80FB9hiYStJ6l1wBWv68odXQMSUWo05t5hxsgCxAOoMRV4yy3xu1inrcPUtxxcxMLWt2VSGm2G+IJsdNL6kQruzbjvHc\/NzOE5J96dfQneCFXKgpJ1F4wMTRTjtxZ67KsdKEnQqxt9\/QSHUxTL0zdLl0qN7QpFGlUiVbWkDdtaI9sbZ050Zalho4McW4lXZU9vJSod1+f\/ALRlYP6QPMZahJJwAiYcY7LjbLi3CFC9+ANvyxZwkGt5mZrONZKKdn95Iyt9xbHV6hCeIjRVZ8qYWlskEJNrHiYQvAe13Uq7JtMYny8qEmp3UPsoVonxhSRw7wYV9qebqsmioshQbdAKd9O6fKO+L2In1Gmw2EnCW1ONlcj4225Sfnq8zM1xDqJEPFC0KTxIHZUnvB096CFu266ZJPZTInVNIEzL1BjcXbtAKJB8kETwtT9GSzGlGpW2n0pF7D88ZesSNQkOsWW1gpQ2DqFaX5aC5hxss8XW0lSLki+h01hGafgM4NxPNSyyk0++5LpKrqSkneHvcNeUK9SKmwEp7QUQADflGuqVVKRtIUHCntJXNLjah1CoyinpGiIqEw2khlhZslazwB5Ad5PKEPzDyHfrdCrbecFVTVn6rLLYlUSSuoYpZIunqU8VqB0uriLjS8OuZnJd5vdamA06eFhGBV5cTLbjaVJcWBqpVov0ZumtpGMq3pn6GquaNE2Rsh04Sxuuoy1MdlaZKy6ZRc3NpKXZtYCgndSfUpFye\/vvzd+tjragtl5RSy6epUod3AEe9HFTNUTRphlxZCWkOJItzUTaN3J1dVWcD3hDKG0KJBKwPz8oi66m0um9zLr4KpFKcfZtu+4bdmzg5\/LbMQ1yWk0olai5uzG56lTl\/Vf7Q1Pj9uHGbL9ZcqNHrcmk3al5ll1Cf3u+gg\/zBGlzrl6BifCD7Uw42yu\/VlwEHcIsQr3497GUyiZw9W3d5KipcrfdGl91wfmjPw7W3so0WcQbwirSVm+j71xY4gIUTeLyRftWtHo24jnHoADS2kZ55ByuM96RY3yeq\/8AI3P5phDa79YFR9xXfMGFz6RkWyeq1h\/5Nz+aYQyu\/WBUfcZ3zBjk2tPjgO\/L\/wCwOCa7vbyz8SXkIkiLkCJTthTousBYpwdQc7s+ak3iCSr0kiepeHZR1bUultwdhUy4N1a189xJCQeJUNIiyHqhaHhbO+1VnVmTnLkHk9WsUrlcF4cxFRZGWo8gksMPpZfRuLf1JeVcBXaJAOoAjsJ3cWPpXdmTIzITA2AanlJl7JYdm6vVpxidcYddWXm0MoUlJ31K4EkxHXhfDlcxhiOmYUwzTXahV6xNtSMjKtW3333VBDaE3IFyogam3fEsvTfetxlf7uT\/AJhEMa6OOQlahtoZZtzaN5LNQefSDw30SzpSfIQDAEjuUXRs7J+zzlyjE+0WulYjqwbSqp1OuzvUUyUcV\/cmEEoSUjhvL3lqNyN0dkdTTdmLo1do2QnsPZc0bAs\/NNtXU9haqdVNyw0AcHVr5Ej1SVJvYEHhDe+m8r9Vabyuwu1NuIpr6qjPuMBRCVvp6pCVqHAkJUoA8t495hjuxDi6vYN2s8qp\/D8+5LOTuKqfSpjcvZ2Vm3ky7zahzBbdVx4Gx5QBm7aeynV9kvNc4KdqTtVoVTlxP0SpONhC32N4pUhwDQOIULKtobpUAAqwb\/EtfTg0eQcwdlTXi0ROS1TqkmhYGhbcaYWoHytJt7Z74iUgASCSABck2A74l82R+jByhwhlpJZr7VEszU6tPSSak5SpycMvTqPLqSFgPkFO+6Ent7ytxJuADbeMVmVcnLz+ZuEZGaQFMzFdkGnAeBSqYQCPjiZTpha5UqFsmytNpc2uXl6tiSSkppCFEdaylt10INuI3m0G3iEAbyi5K9F1m3PrwHhKh5W1WpuhTKZWkVJLc2bDXcU04FkjXVJvEdnSE7CrOybXaZibBFSm6lgbEr7rMp4WQqYp8ykb\/g7igAFpKblCrA2SoK1F1NNwxiOtYRxDTcVYdqDsjVKTNtTsnMtGy2nm1BSFD2iBE3fS2U6Tq2xhUKnNy4U\/T63S5uXXbVC1OFokf7Dqx5YAg6pNNnqzVJSkUyXXMTk8+3LS7KBdTjq1BKEgcyVEAe3EzWRXRm7NGReXLWNdpY06v1sMIeqczWJzwelU1SrXabRvJSqxNt9wqJPqQm9ojP2F6TJVra+ynkagwHmU4llZncIvdbJLqPeUhJ8kP56bvFNckMJ5WYOk6g6zSarP1WfnJdBsl96XRLJZUrv3RMPWHeu\/ECAFro+zl0Zu0E3N4Vy\/omX1Unksne+huphqcZAHq09UsHS41II74i625tj+rbIuZUrRJWemarhHEDK5qg1OYCQ6tKFAOsO7oALre8gkgBKg4kgC5SOF2UMQ1TC+0rlnWaNNuS803iWQZC21lN0OPJbcSSOIUhakkcCCQYk16bKRlncj8B1BSLvy+J1tNq7krlXCoeUoT70ARF4LwdiDMHFlIwPhOnrn61XZ1mnyEsggF191YQgXOgFyLk6AXJIETOZZdHHsf7N+XjWItoN2kYhqW6gVGr4in+op7LpFy1LtEoSE6GxXvOHU3A7Ijw6MWnSlR208AibZDngypyZbuL7riZV3dPkhzXTd4gq30R5YYWTOuehYkahPmXv2C\/1jbYWRzITcDuue+AHLSWyv0be0lSqhRMtqPgicmm2jvzWFKmG5uVJ0DgDa9bG3qkqSdLgxE3thbL1d2Uc3X8vqjUVVOlTbAqFFqRb3DNSilEDeSNErSpJSoDTS40Mbbo98VVrCu2PlhMUacWwahWU0uaSlRSl6XmEKbcQoD1Qsq4B03kpPECHndOLTpUNZPVhLYE0VVyWUsD1TY8CUAfaJP4RgCMPA\/wBelB91JXzqYlBzo0ynxb7jzPmzEX+B\/r0oPupK+dTEoOc\/rUYt9yJn+YY5BrF985Z3vNE4NrY9\/wCT9\/zwFe2Zk72Xcj\/qUfFCw95txhItmNBVl7TwOHUIv70LBu2A01jqT4n0XHgeN7xQnud6ycFKlkpVeZmmm9DbvP5oUMg31hJto+fNLwfIz4JCGZ66iD3trtEZ+yzKwzSrRb6xBsZ5aU+nMs12Vqj6HHWxdkneuffGusKTsVZNSEniSfxpMBSytXUoWsaaneUfzQ3uTxvXM1MyZLBtOqZkJeXHXOqLlt4BSRuDuJJ94GJJsqsHMYOwO02gJQUo3nLJv1iibmMBU5Sdj1eJr04UXOPHgv4st52Za0LH+CanIzVIlX1jddZKxa5TwTflf88R0YP2c8L4UzWk6li3DFRSmQedKZd5X7WfKid3eWhFwkX9Tz01ESN4yzBptFoU1NTzDwk0BIdcsRupvxtzA5+KNJTm8PYlYQ6821MtOJBbcIBtcaa+9EJbUJ8ziTy+hKOF\/rcW4p7n+QmeDsq3KXUW6vhbE081JPauUebWqYk9R\/cusJdbI5WVu8dOFlolZB6SpqULIDgvew7PkEVp1LlqGnstJUgHRSOAjHrNZCEKAVokgRi1bw31HvZenL08lTormiKbUWGmcW4GRSpqfSwTMocG8neCiCOV\/bgjX5h1kYpxRIUNDIWygOqc52KQqxFvHcQRcpelUeaQq0qU5c4U\/FUm83MNJnhuun1Cr+qTy1j3SRMBIBSSLA6DlHDJk26fKejjVXqk4mouIW6ibmlPIl1hO7ZsHVCe8XtfWOtw9WCpIS4kqGgTuHTxxg7rGUpOCOtkJglRvfeToNbRWq1J5xs+DrSN4W7I1I8cWLoQ2hRICja5JjHUypboWHlLRY3JGggpuPArGMJTU5I5J9idruKZSRXfweRQqamO7fUN1CT\/AMx8kVxXl3Q5tCFKkZ6ZcWb7jU6+21vcbqShYSrxgi0bDEk01Q5R6cZZcWp9aQUNJu47b7UQiWYePdpvEsu7TsD4TkMEU4dgzNRdTMTrwue0lLZKEC2o7d9dQIv4ZRqP7zYSq1ptKjw6jVY\/wxPyLM3P1ivqo9LkZoBhiamVKQsEDVIUTfXSwhfdiaclX6NiN2QmUPsddLWdRbdUbO6wxCqZPV+uhyr5q4+qE9MMvl0SXXdWwSeVtVK1sBdXi8cPq2JKdTqTg+vNU5tLaEzbDYSngEpbNvjMbvD01Cx5XSSjUowW0mr9bu\/\/AFwHQ9cQkXMXg8dCeYMaxxzW29GT1m8hGsZiPD7rDTekXXv5QVYc\/A3P5phDq79YFR9xnfMGFq6RNf8AWhqyv8zc+KEVrmmX9R9xnfMGOTa1OOA78vIcC13bp5Z+JLyESSuMLJsZ\/ZYZSffhTPPphG1cYWTYz+ywyk+\/CmefTHYDu5In033rcZX+7k\/5hEMk6NT7NTLj+VTX9Fdh7fTfetxlf7uT\/mEQyLo1lJTtp5cbygLzUyBfmfBXdIAdT04H9u8qf5JVP57EMT2Svsp8nvv6oX9PZh9\/TftqNZypcsdzwWqJ3raX32NIYnsjMOvbVGT6GUKWoY4oayAOAE60T7wF4Ake6b71tcsfdye8wiIhol26b11v6XGV7RcSHFVqfUEX1IDDdz7QuPfEREwB1+T3rt4K++Gnf0hES\/8ATOfYu0T775T+jzERAZQKSjNjBbizZKcQU4k\/8QiJgemZbW5st0ZSUkhOLpQqIGgHg8xx8ukAQnjjE7PSt\/YPVv3Ro\/8ASURBQEi\/HWJ1ulfPU7Edbae7KjU6QgAnXeEwjT8hgCKjYB+zKyo93keaXD1OnJ\/seTf+lXv\/AOGGVbASko2ycqCsgD0fQNTbUtrA\/LD1unHSVM5Nrsbb1fF\/H+0YAjw2cfsgMuPvppf9JbiU7prfWDwZ99af6K9EWeza0t3aDy3aaSVLOKaXYDn+2URKX016kpyEwUkqF1YrFh32lXoAY30W\/wBmpgj\/AFU\/\/RXIX\/pvvXGyx9xZ\/wA+iG\/9FypKdtPA5UbXbnwPGfBXIcF03qD9MTLBZFgaLPi\/j69v5YAaBsNfZf5R\/fVJfz4fd05H9psnf5TXP5slDFNhVl1\/bAylQy2pak4nlFkAcEpJUo+QAnyQ+npxlA0nJ1skJUX66oAnUgJkvlEARe4H+vSg+6kr51MSg5z3+lRi233Hmf5hiL7A\/wBelB91JXzqYlBzn9ajF3uPM+bMcg1i++cs73micG1sf8QZP3\/PAWbZiBOXcj42EfFCvwkGzGrcy6kD3Mo+IQsBFjHU2t59Gx4FtVuUJXtL0ldUydri22gtcl1U0NbWSlQCz5ElR8hhU1HUiMSrUyTrVLmqPPsh2XnmVy7qDwUhQsoe8Yo1uJRlstSIoKSitUeoOu4ectUW3w6txC7qLl9APED+usOPwntM7QMhL0nDM3iREkpaDd9tkPqNjpvoXYJ05gm8JVXcu5OlYgrmHqs65IVCnVV9nr0qCF6KJSoE3GoKVa8biFSy+oWIVuylMpOO6LVnGDZtFSkE9chJHqN9PG3I242jDmnbdxPYZZhnimudx6N3+I43BmLpnGVJmKfmTi1usqWkjq\/A0y4CCkixAUre566e1GkwK7UcosSN4LqM0qoYXqTxVQamo3KL9rwZ1XJYHC\/qki\/fatGwzma0ptYouHJtxoWAU+81YEWJ0Rx8caeXoeJ5eu1TLfE8mzLS9UZXP0yaYdW402+gb6d0qSCCldgdLm5HONdXlK93uPQVIvD\/AKO+7q6BwLtYfbY65DhLX2xuCAO+ONxXitsMutNubylaItzJ0ABHE3I9qOIxHj5dMpsvIqdb8IUgNKS4sbpVZKuV7d9zHA17FTTE28HZxQXLJWtDqhdCjbQkgcR7VtREIwdXnM1tTEQoO0To6HPhOM1KVMJeU1vlCQk7yiUG9k30Aur27k90EajLKizeK6wmpoT+1kpcWt1XPfHZTbvFj5IIvOTi7FqleUbi4t4Tn8PTE9grEDeo7LbpT2XB9qtPiOkcm27VsF1Ayk0FqlwbNuW3gEnv7ot7Ee0xhnaZwFKZWZjVHq8xsMS3VtTTqx1tTlUABMwgk3UsAgOJOtxvc9FmxLgJ+UIka7Kh5tV0tzSUkIUOV\/3p8RieMwMsPJuCvE1WAzWGNgqcnaaXT0nESuJkTrKVNOpBGqyfFw\/JGezXZhCfB9VKXckcbRyFfwZPYdedmJR1aJfe9UdUm\/LxGNfL43bpquoqaQ24baqFwQByjAcdrcjawrOLW3uQoZkHaiGXnHFpLLm8ARYXjErVPmZyXVLoaVvL0SRyjUyuZtPbQ0lJaKVC43SBFqsZ2YZp8ot16fZaLYJJK0\/mOvk1iCw1Ru0TKhmVOm7nC1PIqiNzz1Xri35meWd5JfdKg0O5A4CFb2YUytNnMU0enNK6mWMnvAKv2\/qoJv5BDQ83ttTC0g28mkzRn5hBKd2X7e4b6AkaDh3xw2TfSb1rLGnTdMTlRTKm5PTipuYmXao4y+5oAASEKGgAAFu\/vj0GDw9SPOqM8xpBmdCvD0VHe+lkuwDoSHVp7I5GLyXxcDlyiP2ldLpgKs0t2VruWdao02oWStiabm2r+3ZCh73ljoMMdI7lLWFNMvYhMg8sAWnWFMpH+36n8sbNU2eOU7cTrekMc38o6sOXgbn82Ecrnrf1H3Fd8wYsbU+09lPm1lhWqFhzHVNnKqiVdvKBwpcV2TqgKtvDxi8X67f6AKjf7jO+YMcj1qrZeA78vIcH13Pallj\/ALyXkIklcYWTYy+ywyk+\/CmefTCNq4xekJ+dpc4zUabOPyk1LrDjL7DhbcbWDcKSpNiCO8R187uS49N6QcuMr7G\/9XJ\/zCIjAyNzQn8lc3sJZq06VE07hmqsT6pcm3XtJVZxu\/LeQVJvyveNDXsbYxxU0zL4nxZWau1LqKmUT887MJbUdCUhajY27o0gNjAH0AZlZW7OfSU5LUKry+J31sMjw2l1GlvtpnaW8tIDjLzSt4cU7q21C903SRoqOO2aOjLyc2Xsct5vVjHVSxPWaKl1cg\/UGmpSTkApBSp0oBVdYQVAKUvdF7hN7EQl4axvjDBc76JYNxZWaDN6jr6ZPuyrtj\/jNqB\/LG5xTnTm\/jiT9DsaZr4xr8qDcMVSuzU03fv3XFkXgB1fSp7T+EtoHN2jYTy9qrNVw5gBiZlUVFg7zM5OvqbMwppX27aQy0gKGhKVFJKSCem6PHYDyX2r8qq9jfMau4ukp+l15dLaRR52XZaU0GGnLkOsOHeu4dbgWA0iPoC8O62fduaqbM+y5iXLLLuXUnHOJ8RPTTdRcTdqmSZlWW+tQPt3ipCgkHRNt43sAQG8Zj0djLLOPFGHsMTMx1GFMTTsnT3nylTu7KzS0NKWQACqyEk6AX5ROFgTGmQnSTbMyMK4hnbPTkuyis0xibQ1UaVUGgPqrYIOm92kLKSlSTYj1SRAjPz87VJ6YqdSnH5ucm3VvzEw+4VuOurJUpa1KJKlEkkkm5JvGTRsQVzDs+3VcPVqepc6yoKamZKZWy6g94WggjyGAJl8p+h7yVy4x9I43xRmDXsVSlJm0TslS5mVYlmCtCt5HhChvF1INjZO4DbXS4KNdL3tWYKxjTaPs7YBr8tWHadURVsQzEmvrGWXkIUlmW3wbKWN9algXCeyDqCBH3Wc\/wDPXEdPXSMQ51Y8qkg4ncVKzmI5x5pQ7ihbhBHitHBKUpaipRJJNyTzMAdFlvjeqZaZg4bzDoZSKhhqqytWlgoXSpxh1LgSRpcHdsRzBMTv4qwzs49JfkJTOqxAZiWC0T7D9PfQmpUOd3N1bTiVA7p7RSpKk7qwApOm6ofP7G3w1i7FWDp4VTCWJqtRJxPCYp067LOj2ltkH8sATUbPXRW5M7PePZTNfEOO6riuew+4ZumpnWWpOTlHBwdcSkqLikjUEqCQdd0m1mgdLPtW4UzpxvQ8pMu6mzU6Jgh2YfqFRl3EuMTVQcCU7jahopLSEqG8DYqcUPtQSzbEueGc2MpI0zF+bmNK7Jm15epV6ammtOHYcWRHEqNzfvgBRNnjNubyJzpwhm1KShmxhyptTMxKhW6ZiWPZebSTolSm1LAUdASCQbWibvNvJfZy6R\/KagV6Sxa481LJMzSqzSHmzMyK3AOsYebUCOIAW2oAgp0IMfP\/ABvcLY6xrgea8PwXjGt0CZPF6l1B6VcI\/wBJtST+WAJt9mTo2Mmtk7F\/04KrjifxHW6Uy8JOcqSGZOTp6FoKFuhAJ7e4pSd5S7AE2AOoj76UTafwrtEZ1SFHwDUxUsM4FlXqdLTrY+ozU244DMutG11N3bbQFcFdXvJuFAlsGKc5M3McyiZDGuaeL8QSydQzVK3MzSAfElxahHHqIJvrAG7wR9etB91JXzqYlAzoNsp8Xe48z5sxF9gf686D7qSvnUxKFnQCcp8XW+48z5sxyDWL75yzv+aJwbWx7\/yfv+eAsmzIb5cSX+qR+aFhKtLkwjGzTMNy+W8q+84ltpthKlrWd1KQBckk6AW5xcr+1zs64cmH5aezQpjj0uSlYkw5MWUDqAW0kE6cjHWdhtn0VGaS3ivlQVyjyTY2MMRzm6SuVkHkUzJfDTc2Ek9bUawhQQeNg2yggkc7qUPahIad0ke0I3OOPTqMNzMuv+4Kp6khPtFKwfKTBUJPeQdWKF22rcPUylZ0S01U21syWKZJt7rEKCQXmbNuEki190NnyxqcPZMYNnMTSDtHzBnKPUFID6JV2yuyOaVCxtcdx4Q1fOLarzWzpclfotnZFEtTnVPSktKyiGw0six7eqzoBxUR4o2mXmc2P6tWpJKJdNQfossotKLgSvqd4XTqRfVQMY+Iwk5c6LsbjLMzp0eZUjfqJOqJNzGCKUiXqlQVPKbRdTjjhKlaXA1+KEdx9nrOnEIaEmA5LJWplZc5XtuhQ07r6d\/GG21bacxu5IJpBw5WnZopKFoDHq1HT1Qub6DhyjBp+Hs\/cw3UPHCz0q2T1rCX3UsIAOpCibqF7ai2sayGX7O+qzd4rOZ1mo0IsUmp5hViszyZOQWoImFKuhIKlai+6VXtxub8rWtGdTZOp4xxPJ4XaW4ElW84EL3lhPMqtoDb8gHdHrCWzTm7OKaViCu0qkShGrUlvzLqgTxFwLe2fHDoMoMnaBglsGTbLs0+LzL5JLxOliTyHE6ROU4U42iy3SwuIr86orI6HLrAQw1h9iSZt2EklJSBc3\/MLcYIUhMn1LCW208AOMEauTk2bSNbYWzDgQV4dr1awzWZLEeHKpMU2q055MzKTksvcdYcTwUk8viPA3iZTYp2yqFtM4XVhDGvgMpj6lsgTkoE7rVSaSADNMpN+P2yOKTrwItCu0r4o6DBOMcS4FxFT8Z4Pq8xS6zTHQ9KTjCt1bahy8aSLgpNwQSCCDaPbSSkrM5m+sn+xBltKTks4KWAkKFiw6boPiB5Q3bMbKCldpqpyM1IvuXCClRSlVuNraHyGO82PtrbDe03grrHUtU3F9IbQis0zeGpsB4QyL3U0s38aT2TyJXqrUemVuRcp1VkmZqXdFlIcTce2O4+MRqq2W05vahuZs8NnNeitirzl9\/H4kb8zlphmlz26mozpKVapVMKUk28UbjKrZ6rOPc3UYqkWJWWoGFZRLrrDo\/dcw8rQcDchDajrw3hC1Zk7MpwzMT+M8M4jk00ZlCpybYrMwUeBtI7Syl9VxuBIJ7eoA1UY4d7bj2aNmisSmA6\/iGbrc3XHy\/Up+ispm2KU3upQgv7it437StxAWsJ1KQSExDD4arTqrb4LpMvF47DyoOVJ859BD1Vkeg2La3RpdFmpWpTMvbxJdWkfFHqVoKqtMKWFFllsjrHLfkT3nSHObY2zxK4dxrMZxZdOM1bBmLi5U2ZqTWFtIUs7ylJI4pNyoH2xyhDJbcbkpZDSAE7l7p+2UTrf4o3Owkef4FyRbkaehLUpJtpAFlKWN5aj3lR+LhGLXaKipt+GU5Abm0JupsJ3Q6B3cgfji8ACbg+37fP8sXmnCCNTpwhYoxPqqpT0ipLyLLQDcnjccolBrmuX9Q9xXR\/0DEb2N5Rl6UcnWUpS7btgcFD5Ykhrnrf1C\/3Fd8wY45rZ9vL++\/IcF12+1ln4kvIRIq4xSKq4xSOvHeAggggAggggABsbxUm9tLWikEAEEEEAEEEEAEEEEAEEEEAEEEEAEEEEAbvA\/150H3UlfOpiT\/O1xLWUeMHl33W6NMrVbuDZvEYGBvr0oPupK+dTEnWfHrL449wJzzSo5BrG985X3\/NE4PrY9\/5P3\/PAZZmFtIY0xpQJXBFMqL9LwxKthtcmyvdM2dO08RqRpongISt2oPkKJcub3FzwMYcoyVMggceMXzKKVrxjtCh1He3JviYi3XHFbyj\/wC8egs2jJTJm+qYuiSBTcgRXYkEjA3zvi\/fCh5J1uUpuOA1NO9X4dKuyzRvYdYSlQB8iTHCvSW6N9J4axjNPPyswmYbVuONkKSocQQdDFupTcouLLkKnopqfUO3lVT8pX5apUjqPC2nQpKXQSldrWBHj1h4mAanN4ukG5ielGZZ9KQHWULJbBA5AC\/\/AGERu0HO1KWZdNeprqpiXsBMsKHatzKT+Yw4fL7axy7osq2uo4hm5ZywCkGTdUTYcbpSR+WNHXw1ZcEevy\/H4ZSvKVr9Y+TDxU46JJ6Z7A0P1PdKj47fHCl0WUaaSjcSQnmBYAwwJ7pBcrsNN9ZQ6TXq4+dQAymXa3v9JZ3v+WEgzN6Q\/PPHCHaVhR+UwZTFJKSKeSucWDxCn18NLeoSk68Yx4ZdiKru1ZfeZ+OzvCQhswnd\/cSP547UWTWQbaJfGmIg9VXQhTdIkQHpwoUdFqRcBCbXN1EXtpc6QRCPPVWcqc27UqpOvTk5MrLj8y+4pxx5R4qUpRJJ4cTBG1hktJpbTdzyss4qt82KsXZebLiVJUob45RntukBITwAEaWU6xLQ64gnkecZ7TotxjONTxFAymzUxhk5jyl5h4GqHglUpjm9rctvtn1bTiRbeQoaEeO\/EROrs858YS2iMtKdmBhh9tDjqQ1UZLfu5JTQA32lDjbmDzBB74+fRp25haNmXaZxjs3YvmqhQJ4po9bZMpVWCnfCUn1MwhPAONntA8xcHQwtci0O\/wClE2pWK21NbMGXtWRvNqbdxY+h2wJBC2pFNuJvZbnL1CdbqAjBXKuMPmXmWVJN9QoWMSRudH5lNjDCVMzZquY+JltY1nBMPVSXCHESa3z2HlhW8Xklw9tW+CN7e5WLSdpPZpzC2YceDA+NpqTrNNqbC5uk1KXWd2Zlgrd3iCN5taTa6dRroSNYW2UUH3bGGX8tifZwplPxLM+F4bcmHJKpS6wP2kH0pWzMpv8Aahat1Y4EKv8Aawy7aXyGquzZmzN5fVGZS\/S5pAnqPMJuUlhaiAk31BSRYj2jzh2fRd5t4bqCq5khiiooM1NyaW2paYSEonEpvbq9dVdWTcWB7NxCn7bGQzmcWUyHkvKVifLmdcp3hS0jfflHQnqFun96SWd5X2v1RXI3k3fcyrSIqiBfd3Ck2vaDS97x4QZhBekZ5tTU3LLUy824LKSUmykqH74EEEHuj2QB3J8cRKNGhxYr+prlu4xJDXPW\/qN\/uK75gwwfE+V2MpnLk5iMSLPoCpx1oPdclTg3LBSihNylNyACbXN+QvD965cZf1EEW\/qM75kxxzWz7eX9+XkOC67fayz8SXkIklcY7\/Z\/wDSM1M7cD5b1+Ym5enYmrsnS5p2UUlLyGnXQlRQVAgKsdLgjxRwCuMLJsZ\/ZYZSffhTPPpjrx3gcP0iuwxlTsj4TwdXcvMQYnqD2IajMycwirTLDiEIbaSoFAbaRY3Vre8MTiYzplcL4jxthjKPCuEqFPVisVHEM8xJyMkyp599Zl0GyEJBJ0BJ7gCTDGnOjF20mqL6N\/SiWtHV9Z4MipypmbWvbq+svfxQA1iCNhiHD1cwnWpzDmJaTN0uq055UvNyc2ypp5h1JsULQoAgiNfABBC25L7GG0hn\/AEkYhyyy1nZ6jLUtDVTmXG5SVdUlRSoIcdUkLsQQd24BBBNxHZ4z6NLbJwPSHa1UMpXqhLspKnEUmeYnngkC9w00srVw4AEwA1+CLjjC2XFNPJU2tCilSVCxBB1BB4GFEyX2eM3doOo1KlZR4Tcr01SGETM422+211TalFKSesUL3IPCAE3gjqMzMtMaZP41qGXmYVGVSsQUrqfDJNTiFlrrWkOo7SCQbtuIVoecbTJ3I3M\/PzEkxhLKjDDtcqspJqn3pdDzbZQwlSUld1qA9UtI431gDg4I7XNzJrMXIzFZwRmhh5dFrQlm5vwZbqHD1S77qroJGtjzjpsjtlXO\/aNlKtPZR4RFaZojrTU8ozjLPVKcCigfVFC9whXCAEkghdcE7EW0vmHjbEOAMKZazU3U8KziqfWHS+03KSkyLHqlTCldWVWIO6FE214Rl5w7B21FkXh13F2PstJhFElgDNT9PmWp1qWTcDedLKldWm5HaVYeOAG\/wRs8PYbruLKzJ4cwvR52rVWoPBiUkZJhTz77h4JQhIJUfEBDnaH0XG2nXae3UW8rWZJLo3g1PViUYdAtzQXLgwA0+CF7zS2E9qnJ6mP1zGWUNXNMlUlx+dpu5PssIHFTimCrcSOaiAB3wgqgEm17wBusDfXpQPdSU86mJOc+PWXxx7gTvmlRGNgb69KB7qSnnUxJznx6y+OPcCd80qOQaxffOV9\/zROEa1\/f+T9\/zwI15A\/tdPtRmNrtzjAkVfUUjxRmpsQbHhHcKZ3c9ld\/ljwTfhHlSjyGkUN+JGkSJX3WKCyrju4xivMne3kAHvBi+o9oW5R6KgRcGIyVyJhFDQVYEt31sYuJZKz2XkjhxVF1QB4ge3aPPVoIukXtFvYRNNlQygA3eBvppraLiW276KJA5nnHgKFxugWHH9RHq9zcGJKKSuRbLilFPAI04aQR40U3vgkgG2mv6+\/BFNplD0gB3tINrxfQq50Fow1KXLOlxCbtq5d0ZbTiXUb6QIxifRYvocUk6ExlIeSUkK4eKMAL4+KKtuqCgDFbXA+\/o7dp2Qok3MbNGatRaGFMUb7dDmJtR3JGeXcBkk+pQ4bbvILtw3otdIqMaVxOWtWq8k43O4dVV8MzS3BYrdZcl3Gd7xrbKiD9sBvc4Y7vrACkLKFA7yVJOoPih6GIsy6vtTbKsxV5mph\/HuWDkrNYkkgm6qrS2krbaqSRx61lDikukaFClE2smK2K7htuFsa1jKbM+g5g0t55oyrzTxUgahIPcOJFr28UTj4KxPhnN\/DdHx1TVMOU3G1KcpdRS0vebUvq1KSL87DrQDxIUmIJMTKbqFLSVFO8gDcIMOx6M\/aiTgrGrOQuP6whrDeI5hCqLMzCrJkqolQU0jePBLqhui\/2xA+2ij3byL3GJ0gOz1VMvcUSmbtKpwbkK1MqptbLKLJarDQP1Yi2iZpsJeB4bxWDqRDRqlPvOtMsSKFddNuJZSlCbqBOmneSdB4zE92emT9EzhwtiDLbELe7IYwpxbbmQAVSdRYF2XgDxPA\/7q3BUQT1ikVrLfG07h2vSnUVPDtQXLTTBvZL7Kim4B42OoJ0sfHC9yt9x34zopLWRq8tWKLNSM6wJqVmg8RuKHcQeCgb3NrhQPG8O\/rnrf1Cyr\/1Fc1\/3BiMOsTE\/LIfXNuKdM1vnrlHVwXNyT33NzfviT2ui2AKiCLWozvmDHG9a\/HAd+XkOC67fayz8SXkIkVcYWTYz+ywyk+\/CmefTCNq4wsmxn9lhlJ9+FM8+mOvHdyarbm2nsO7J+BqLmQ\/gyWxHieanHqZQGX3OrSypxAU+4V2JCd1tIISLm4FxeGsbNXS94kzKzboOXObeXtApdOxNPtUyVqVIdeQZV91QQ11iHVL3kFakgqBTa97W4bDpvvW4yv93J\/zCIi4yZUpOcGBlIVuqGJKZY9x8KbgCSbpqcncPytPwVnnTKZLy9Um51eHqrMNoCVTQ6lTsuV\/vilLTqQo62sOAFmKbGuScttCbSGDMs6km1KnJxU5VbX\/AHFLoU86jxFYb6sHkXAYk26awf8Awy4S+\/uV\/wDT5+GW9EeUjbKo9yLmh1Sw\/wBz8l4AkP239teibEGGcLYHwBgqn1GvVSUWKZT1\/UZCmyLAS2lS0tkLIJO6hCbAhC7qTYBSN7HXSv4nznzapOVGc2CaBTF4jdVKU2p0NLzTbcwQS2280844SFEboUlWilC4tchFOmu3jn7gokaDCabfC34adsgdYdqLKzq73+iqn8OP9mTeAHd9MXs\/4ewLmDhzOvC0o1JN42D8rWWG07ra59ndUmYA\/fOIWQrldoHioxtOhD9cvM4X09A5L+kKhUOm5t9KvLa1h\/4gmv6NCX9CGbZmZm+OhSR\/\/IVADeelD025cybf\/Sf\/AEqUhV+hb+yZxKP\/ALOmf6XKwlPShg+nkzIJBF\/Qm1\/cqUhV+hcFtpnEh78HTP8AS5WAOf6YT7LpXjw1T\/jchw\/Qe\/Wvmv8Ay+lebfhvHTCfZdq+9qnfG5Dh+g9+tjNf+X0vzb8AZW1v0n9Y2eM3a\/k9kVlrhd1VFnVLrVSq7Tq0TM+6A4\/uNsONm4Kt1S1KJKgdLAEth2qukzzB2l8nqXlenDDGFC++p7EblPmlqaqCUkFppAV2kN3upSVKVchOtgbpDt0\/Zf5s\/fLNfGIQqAJTuhPyvwtPJzBzfqUizM1ymvytFpzzguZNpbanH1I7lL+pi\/GyCBopV9dtK9LRnxgbOPE2X+XWDcLUylYZqj9NSuqyj8zNzKmllClLs6hKQSCQkJvb7Yw3DYF225rZDxfV2K7R5msYMxMlr0TlJYpExLvtEhuYa3jukhK1pUgkbwI1ukRIFWNvLoxs4VtVPNWkUacnt1KArEuBHJ59sAaDrEsPWA4aKgBGcu+mvnjQalLZtZQy71WTJOeAP0B4olnpndO4h5p9ZU22TbeUlayBwSYjSx3i2o49xhWcaVaXk2Jytzz0881Jy6WGG1OLKilttIASkXsABwETZMbJ3R17W2DqjO5RUjCyXEoLKqlhNwykzIuqB6tTkvoEm+oS432gO6IZM58r65ktmpifKvEakrn8NVF2RW4kWS8gG7bqR+9WgoWPEoQBpsDfXpQPdSU86mJOc+PWWxx7gzvmlRGNgb69KB7qSnnUxJznx6y2OPcGd80qOQaxvfOV9\/zROD62Pf8Ak\/f88CNGQ\/sSYzUkkm3kjBkQQwkxltkm4747dTe47wewbG5F48lwXvaPZBNgs3HId3kjwsXI+WJgtr1BN+MUSDbvj0u4GvEd2seN5PEi8RbBUC5uI9eq05\/r7cAuUWOo7uNvJrBug8Rfyfm1glcrcCb3SdD7f\/cQeqsLajyx6OoCVG9uV+HxwHdKdRc8v+2sSfApx3gCTx96CPOt7Lt71\/yC8ERBbpswJlgtOKutPGPSAqVdCSfqZ\/JGppT5anFk6aaxvXEh5oLNiIxUVu0XAQtQWDpB3HmOMWWVlPZNyBGQ4lG6Sgm8SJXue0OEi0dvkxmzXsk8yaPmHh9CX1yLhROSTgu1Oyi9HmHBwUhabgg87d0J8FlB1MX23Eq4kWgUFhz4wvRMI4wmRhJKl4TrjDVaw49y9D5kFSG7jm0sOsm+t2ibaiEZL7kvMB1hxSFtqC0LSbKSRwII1BBsbiOv+iV6r4EbwvUZwKdoDy3af1x1Eo8R1rSD\/iOhCwnucdPKOGcdUVG9xrwgylydPYF2jXNpTIyQdxDNIdxhgx1qnVg\/bPFKfqMyRx+qthVzwK0uWtoIab0suRLGGccUfPOhU5LUpikCnVdbKbJ8PaR9ScVbmtlBTfn1OuphvvRy55KyX2l6C1UKiZeg4yUnDtTSpdmgp1Q8GcWOHZe3Rvcg4vvMS67YOVjeb+zvjDB6JdLk4ZFU5IaC4mmfqjVu4lSd32lGLXBhM+fOuuXknG1gKBBtfkbcR44k8rg\/rf1HX\/5K75gxF\/iDssrSQQbHQ6EacxyiUGu+t\/UfcV3zBjkGtr28v778hwbXdunln4kvIRIq4wsmxn9lhlJ9+FM8+mEbVxjb4OxZiHAeKaVjTCdSVT6zRJtuekJpKELLD7Z3kLCVgpNiL2IIjrh3glg6b71uMr\/dyf8AMIiLfJr138DffLTP6U3HUZzbU2fO0HTaZSc4cw5jEcrR33JiSbdkpZjqXFpCVKBZbQTcADW8JnRqtP0GryNcpUwZeep0y3NyzoSFFt1tQUhVjcGygDY6QBMv01n2MuEvv6lP\/T5+Iv8AZDzsTs87Q+DM1JpBXTqbOGXqiBe5kZhCmX1ADipKHCtI5qQmKZw7XO0Rn9h2Vwlm7mVM4hpEnPJqLEu7IyjIRMJQtsOXZaQrRLqxa9u0fFCPE66HSAJ59srY4wZt34GwvjbBGOZOQrUhJqfoVYbT4RI1CSmAlYbdKDfc0SpK03KSpXZVfRINjbopalkfmdTs2s4scUmsz+H3S\/SqXRkumXS\/YhLzzrqUKVu3uEBFr2JUbWMaGUW1ZtDZDyypHKjNar0ORKlL8BHVzMpvE3Kgw+lbYJN9d2+pjrccdILti5i0d2g4ozzq6pF9JQ63T5SUpxcSRaxXKtNqI8V7QA4fpgNorDuZGZFAybwjOtzsrgMPu1aZaUFtmovbqSyCP4JCLKP75wjimOI6JnOGg5XbTfoFiapNyMljilqoTLjzgQ34YXm3JcEnS6lJLae9SwOcMqWtallSlqJUbkk3JMUQpSVhYUQoG4PjgCanb06NSsbTeO2s3MrsWUij4kflmpOqSdWDiJabS0N1t5LrSVqS4EBKCCgghKdRbXf7Aewi3sh1yo17HmOaVWMd4kp65ZmSp28JeXkm3EKdKFOBLjpKi1vK3EhPZFje8RlYK6RnbLwBQ2cOUHOudekZZstMJqVPk59xocrOzDS3DbkCopA5RzcntqbUMnmNM5stZxVZWK5qRVTVT7zMu8ESqlpWpltpbZaaSVISbIQngIAXDphPsu1fe1Tvjchw\/Qe\/Wxmv\/L6X5t+Izc2s48yc8sVfRvmpihyv1syzcp4W5LssnqkX3U7rSEp0udbXjc5PbS2eGQUrU5PKHMGdw2zWFtuTyZdllfXKbCggnrEKtYKVwtxgDp9un7L\/ADZ++Wa+MQhSRc2jc4yxhiXMDFNTxrjGrOVOt1mYVNz044lKVPuq4qISAkeQARpoAkN6OzYa2f8AaWyxxVXsxcYrncSLcMnKUqmz\/UzNFQD2ZpxH26nCCE7wU3uhXFXqc7H3QrZ00+uupy3zKwpWqMpRLLlVL8jNIF9AtCG3UGwt2grXuHCI+8LYtxRgmssYiwhiKo0WqSxuzOSEyth5HfZSCDyEOFo3SVbbdBkm6fIZ7T7jLSQlJnKTTpx0273H5daz7ZN4Ak62DNiKZ2LaNinG2Y+PadPVqsyiEz3gZU3TqfKMlThPWOBJcVrcrUlISBYA6kxFbYGaNGzo2l8wcysOi9Jq9WUmQc\/hpdlCWG3bct9LSV25b1o85rbXO0lnZILpOZmb1cq9Pc\/skilTcrKr\/wBJlhKG1eVJhIL34wBu8DfXpQPdSU86mJOc+B\/WXxx7gTvmlRGNgb69KB7qSnnUxJ1nx6y+OPcCd8yqOQaxvfOV9\/zROD62Pf8Ak\/f88CM6SWTLgWjLaG8Tc84wZE\/UBbWNhL8zaO2QO8HshV7C1vHHlaSm2sVV4zHnx3i8Dw7oNfyx5sFDSB5Vh8UeG9T5IguILoAOgN+8cYqAeCd1Q9\/5YqN0p5ExQpF98nUcoq9wK8t38nGKX5DXvHdBbe1vY\/r+vCDd4G\/CKAo5cpAFgO86wQFYvuHnqT+uv5YIA1E3IrYUpxpWpjJpU8pTYZcXe\/5IzXmirtaE90ax6TU0rrGk2N7m3OMW1itrG4JSOHCPQX2SCYw5SYEw0dQCNLHjHpbqkaRW4bLyhe+ojwle6bRRK94ax4WAnUQuUMlwqdQrtEKItcRgLdW6sLcI6wgBdv3w4\/LGQ26e+0Ys0ncfCgLJVxMGyrLzDzrC0vMLKXUEKQoaFKgbggjgbgax9GeQePGs5cgcG46ccS6vEFBl3ZlQN\/q+5uPD2w4lYj5xUORNN0RWN3sS7LTuGJtwKcwniKdkWhfgw9uTKf8AnedFvFFuRREVu1jhdjBud+OaDKNJalmqxMusISmyUtuLK0gDuG8R5If1XDfL+o+4zo\/6BhqvSY0VVD2m8SU15ktLQ2h5s7tutZdWt5C\/Hq6tF\/8AJ+KHWJbGIsBblNcQsVSj\/tZZNkqDrPYN+7tCOPa23sPATlwU5b\/D8mcI14NQWW1JcFUld9XsfIiQVxikOLOwrnMf\/MUL4YfmxT0iuc3sihfDD82Peet2Rdrh4kdL9e9Gu20\/EhusEOK9IrnN7IoXww\/Ng9IrnN7IoXww\/Nh63ZF2uHiQ9e9Gu20\/EhusEOK9IrnN7IoXww\/Ng9IrnN7IoXww\/Nh63ZF2uHiQ9e9Gu20\/EhusEOK9IrnN7IoXww\/Ng9IrnN7IoXww\/Nh63ZF2uHiQ9e9Gu20\/EhusEOK9IrnN7IoXww\/Ng9IrnN7IoXww\/Nh63ZF2uHiQ9etGu20\/EhusEOK9IrnN7IoXww\/NivpFc5fZFD+GH5sPW7Iu1w8SK+vWjfbafiQ3SCHFekVzm9kUL4YfmwekVzm9kUL4Yfmw9bsi7XDxIp696Ndtp+JDdYIcV6RXOb2RQvhh+bB6RXOb2RQvhh+bD1uyLtcPEh696Ndtp+JDdYIcV6RXOb2RQvhh+bB6RXOb2RQvhh+bD1uyLtcPEh696Ndtp+JDdYIcV6RXOb2RQvhh+bB6RXOb2RQvhh+bFPW7Iu1w8SHr3o122n4kIhgb69KB7qSnnUxJznx6zGN\/cGd8yqGj4a2Jc4KTiKl1SZfohZk51iYc3Zs33UOBRt2e4Q7PaDmmJPJLGr77gQhVGfZBPDecTuJHlUoDyxzPTXNcFm2c5b9hqqpszV9l3tzonH9YedZfnmf5T\/RtaNXZmr7Lva84kaVP\/cqYzG1W8ka+TUUspSCDGUhxVzHfKe7ifRhkpXrqLxRaxxtHhBvqY9KtF24MWadCQL31irJuAbxZnrFaUE68YuM+pAEWukGWVb6Am\/A8zHpJCwRyH68ItNg8zHu1zY6Ec+f6+WLkQVuLi5HZN9YosneKgCPb+WPJ0Vc8fb1iiio63EJMFCpKb2v7X6\/JBFpV\/U39qCIXYMwJsbx5db3hodYuHXSKEWiySZqXkLlnetSDuq0Xb8kX1LC7EEEHgYyH2kuNqTzMakOKk3QwvVu+h7vFEXuImxSoBOsV3we4xj9ckj88eS8E8TYHgYo9xVJvgXS5uq3OXfFJolTRubkC4iy0iYnZluSlGHHph4hLbTad5SjyAAjrpLLPF07KF+YpjksgEtkvHq0g3A1UqyBa\/AqHvxHaS4lVBtXOQJs0Fg2AFye6JMOhZx\/Lt1bMrLB6ZSmYnJaUr0o2VauBsqZeIHi32b+3DUco9lzDOJ5+S+i7Nyly8o4tSJiUpxV4SByCVuo3ATobgKAvqL8HqS3RzYCewFN1zZYzKxhh7MKnybjL6ahVEAVJtablpTjKWy0F2ACk9nkpJ4iDrR2vR9Jd+zVfR+mtzRO+l+pmEqnmVhXENIrtNexAqmO02qyLMyhUwy2251jC3Gwd5AJW6BcC8Nxyg2tsT5ZYflsIYjoAxBT5IBuUcRMdU+y1f1BJCgoC+gNrAWva0JZiGjV6gVypUTE8hNSNZkZpxmflpu6XkPpNlpcvqVX53N+NzGnWlA+0HvRg5rk2Czyh9mx9NSje\/U0\/4reaLO9H8v0iw32TMqSnC91e90+tNNNfkO19Prhvh9Lir\/DG\/kgG3thsf3t6uf8AjG\/khohLYNygd3kihLSuFo8ryY6N\/sX45fM8TyP6I9nfjn8x3np+MM\/xb1b4Y382KHb4wwOOXFWH\/GN\/NhoO6hJ9SDFp1SCbhAinJlo3+xfjl8ynJBoj2d+OfzHhen5wv\/FzV\/hjfzYPT9YWHHLqr\/DG\/khmyiCeAFu6KFSBxSIcmWjf7F+OXzHJBoj2d+Of+YeUNvrCx0GXVXPtTjfzY26ds5hxCHG8qawUuJCknw5rUHnwhj6XWd4WHA30hzOE6D4dhukuuywaKpNskrFieyOXGIT1aaNxV\/Qvxy+ZKOp7RKTssO\/HP5ikp2ymze2VFYJH+fs\/NiqNsXrSEt5S1pRPC08182ORTRqfKp7TdyBrcCMmTlpBLqVS8k2sDU3G6Pf+SLfJvo3+xfjl8y8tTGiXTQl45\/5jeVfbYkaE401VcrKuwp1JWgGdaNx+DGB6fTDv8W1X+GNfJCOZ\/ELrdMKmmkXlFWShNgO2efEwlhbbIsRrDk30c\/Yvxy+Y5GtEF+rvxz+Y7Y7emHALqy4q9v5Y382LQ2\/sKk2OXNW0\/wA9b+bDTS23Yki+kamaaSlRWALRKGrXRtv\/AHL8cvmWpanNEo\/q78c\/mPJG33hY\/wB7mrfDW\/mxU7fWFgL\/AEuav8Mb+bDMUFNxGQpKFJ056RfWrHRt\/wBi\/HL5kOR\/RLs78c\/mPG9P3hb+Lmr8L\/u1v5sefT+4V1P0uqrwv+7W\/mwz5LKRYKtqggxrJkhpKbd1jFHqx0bX9i\/HL5jkg0R7O\/HP5j0T0geFOeXdVHtTzfzYP2QLCR4ZeVb4a382GQk3MXGWFPqCUA9xMWnq00bXGi\/HL5ko6ntEptRjhnfvz+Y9sdIDhQ6Jy6qpPIGeb+bCQZ17TeKM5qYjDkrSE0OiBxLrzCXi65MLT6nfXYDdB13QOIB5CEVVJtMMDS6gdTGYxZLQ0OsbTJ9Bchy3ELFYajz48G23Z9e9tG3y7Vjo5o7i4YrDYf8ASR3puUpWfWk21f7y1bc0B4RcSdBYx4NjePbQA5x7RcT2hkNAq4jlHogg8CQIq0OyIo6ooQrxxe6Aa98hUwtR1sBYx6Q5a1jFo6Xvzi2HAlQBvGPfeDZJcsNT78HWHiD+WLSe2n2hFkvFKtb2Bi5tbgzNSrevYx4cIT3RalnN4lF9TqI8zCile6QdIq5Jq4PSlaC3L9eUEWg4LcYIt7aBuCNY8qBjRfRHMX\/c7Xvn5Yr9Eczyl2vfMWdsk2bojQXjAnpVL7ahYBR4G14wvohf5sNxbVW31adUj34OSZQ6DAeBa3jmty1Ckn2pcPudWHn7hKfHpxh7mXXR94NZYZmsZVOp119xAUEMueDMAnxJuq3+1DFsO45q2HJtM5IJb30KC0XJG6RzFiIcphTpHszcL0tqmjBmH51TKAhL77kxv2HPRcYWJjWk\/wBGbjLquApq+IV3+Y+TLTZ3wBlWhc1gzB1Nlp9aCku9SFvq09T1q7qsT47c4ZvjZ6uvVh9qQlEPBpbsw3LOocAlplx0uOvgoUEhaSEpBVcEJVoeV9rpTs0W1A\/S0wmSDoS5M\/pISTGG13XMVMHcwBhyRm1LfBmkpcdX1ThUUIstRF2lLWpCvVAlNyrdEW8JRqUpN1Okys4x2FxNOMcNuS6LWFen6KcJ40S3IVV+qS78iFNyyW23ppl1ZDjqepaKVJWl4KSASFIBCTZQsHC7H+dNbo2NFSM0\/MKQtszjLZsgloLLbzQTYDdKkkgAAJOn2sR3fT4qiKImiMYbpZQ06+607MlcypBfYQ2\/brSoXUtsPBVgpCydwgaR0eBtrHFGBK9J16m4Xo77slTfQxtDynSncLillZsoEqJWYycRDbjzeK4GswWIhRnszfNe5klvSJbGDedeHPTCZN0tp3FcnKB+rSbGiqxJpRdLiUjjMNgWHNaRu6lKQYj1rUFFt1JSpHZKSLFJGloeXhXpic6cK0Nigt5Z4PnGpfeCFvLmt4JJvY2csbEmGq5455Jzqx\/O5hjAFCwvO1QBc\/L0ouBh9\/m9urUd1ah6q2hOp1JJv05blcxJbKk1B7jlyu5tYGMd1BQd5PA8Y1hrT\/JpAiqK06N7fZbXvCwuTYeOJbaZaubALWoCwKiToAItOuBPHvt3\/wDaPbeKuqZlm2qVKpclmwgOBSwV9sqO+AbKve2o0Ea+Zq702+qYmQHFKI4k6AAAAeIAAAdwERckuARkBTi1WSneJ4ACMpqnTDp3nAUA8ucYTddW0kBEoyn2riL7WJnUHeXKMuAclKV8usQlKT4F6Kprizf0KheGzsvLy7RUVOpClW0SL6nx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