<blockquote><p style="text-align:justify;">AI 전문가가 되고 싶은데, 어떻게 공부하는 게 좋을까요?</p></blockquote><p style="text-align:justify;"> </p><figure class="image image_resized" style="width:100%;"><img src="https://yozm.wishket.com/media/news/993/image001.jpg"></figure><p style="text-align:justify;">주변에서 AI 공부를 어떻게 하면 좋은지에 관해서 질문을 자주 받습니다. 제가 머신러닝을 처음 접할 때는 이런 정보들이 많이 없었기 때문에 어려움을 겪기도 했는데요. (물론 그때 당시에도 Andrew Ng 교수님의 Machine Learning 강의가 있어서 도움이 많이 되었습니다.) 요즘에는 오히려 좋은 자료들이 너무나 많아서 문제인 것 같습니다. </p><p style="text-align:justify;"> </p><p style="text-align:justify;">시간은 한정되어 있는데 좋은 내용들이 너무 많다 보니, 어떤 것을 통해서 공부해야 될지 감을 잡기 힘든 상태라고 할 수 있겠네요. 그렇기 때문에 교육과정이나 학원 등이 있는 것이겠죠. 하지만 그나마 가장 실무와 가깝다고 볼 수 있는 부트캠프 스타일의 교육과정은 사실 실무를 제대로 하기에는 좀 부족합니다. (특히 ML분야에서는 더더욱) 따라서, 개인이 스스로 다양한 공부를 하고 개발을 직접 해 볼 필요가 있습니다. 사실 이런 것은 이미 잘 정리된 것들이 많아서 검색하면 많이 나오긴 하지만, 저도 한번 간단하게 정리해 보았습니다.</p><div class="page-break" style="page-break-after:always;"><span style="display:none;"> </span></div><figure class="image image_resized" style="width:100%;"><img src="https://yozm.wishket.com/media/news/993/image003.jpg" alt="딥러닝/머신러닝을 처음 공부할 때"></figure><h3 style="text-align:justify;"><strong>딥러닝/머신러닝을 처음 공부할 때</strong></h3><p style="text-align:justify;">딥러닝이나 머신러닝을 처음 공부할 때는 영상이 있는 강의로 시작하는 것이 좋습니다. 책이나 튜토리얼 정도로만 배우는 것은 쉽지 않기 때문입니다. 그래서 영상이 있는 강의들을 몇 가지 뽑아 보았습니다. </p><p style="text-align:justify;"> </p><h4 style="text-align:justify;"><strong>Nando de Freitas의 Machine Learning </strong></h4><ul><li style="text-align:justify;">현재는 DeepMind에 있는 Nando de Freitas 교수님이 UBC 교수로 있을 때 촬영한 강의입니다.</li><li style="text-align:justify;">꽤 예전 (2013년경) 강의입니다.</li><li style="text-align:justify;">딥러닝 관련 내용도 조금 있지만 대부분 일반적인 머신러닝과 관련된 내용을 다룹니다. 머신러닝 기초부터 아직도 많이 사용되는 머신러닝 알고리즘까지 잘 설명하고 있습니다.</li><li style="text-align:justify;">요즘에는 딥러닝이면 다 되는 줄 아는 사람들도 많던데, Classical Machine Learning 알고리즘들도 광범위하게 많이 쓰이고 있습니다. 이 강의는 머신러닝의 핵심적인 알고리즘들을 핵심만 뽑아서 잘 다루고 있어서 굉장히 추천드리는 강의입니다.</li><li style="text-align:justify;"><a href="https://www.youtube.com/playlist?list=PLE6Wd9FR--EdyJ5lbFl8UuGjecvVw66F6&feature=view_all">강의 링크</a></li></ul><p style="text-align:justify;"> </p><h4 style="text-align:justify;"><strong>Hugo Larochelle의 Neural Network </strong></h4><ul><li style="text-align:justify;">현재는 Google Brain에 있는 Hugo Larochelle 교수님이 퀘벡의 Sherbrooke 대학교 교수로 있을 때, 촬영한 강의입니다.</li><li style="text-align:justify;">말 그대로 Neural Network과 관련된 내용만 다룹니다. 위에 있는 Nando 교수님 강의처럼 꽤 오래된(2013년쯤) 강의인데요, 딥러닝 분야에서 7~8년은 굉장히 긴 시간이죠.</li><li style="text-align:justify;">시간이 좀 지난 강의인데도 이걸 추천드리는 이유는, 요즘에는 Neural Network에 대해서 이렇게 다양하고 깊게 다루는 강의가 잘 없기 때문입니다. 특히나 요즘에는 딥러닝이 어떤 발전과정을 거쳐왔는지는 건너뛰고 최근 나온 아키텍처나 모델들만 배우는 경우가 많은데, 그러면 기초가 부족할 수 있습니다.</li><li style="text-align:justify;">요즘 AI 업계를 관찰해 보면 최신 기술만 배우는 경향이 강한데, 어떠한 기술을 연구하거나 서비스를 개발해야 할 때, 최신 기술만으로는 안 되는 경우가 많습니다. 예전 기술들도 좋은 내용이 정말 많고, 특히나 다양한 시도와 최적화를 할 때 그런 기초 지식을 잘 알고 있는 게 도움이 많이 됩니다.</li><li style="text-align:justify;"><a href="https://www.youtube.com/playlist?list=PL6Xpj9I5qXYEcOhn7TqghAJ6NAPrNmUBH">강의 링크</a></li></ul><p style="text-align:justify;"> </p><h4 style="text-align:justify;"><strong>MIT의 Introduction to Deep Learning </strong></h4><ul><li style="text-align:justify;">비교적 최근에 만들어진 강의입니다. 딥러닝의 기초적인 내용들을 배울 수 있습니다.</li><li style="text-align:justify;">최근에 나온 강의인만큼 꽤나 최신 기술들에 관해서도 다루고 있습니다. 물론, 다양한 토픽을 다루는 만큼 해당 토픽들에 관한 깊이는 좀 부족하지만, 딥러닝의 전체적인 그림을 볼 때는 추천할 만합니다.</li><li style="text-align:justify;"><a href="http://introtodeeplearning.com/">강의 링크</a></li></ul><p style="text-align:justify;"> </p><h4 style="text-align:justify;"><strong>DeepLearning.AI에서 제공하는 프로그램</strong></h4><ul><li style="text-align:justify;">AI 분야의 연예인 중 한 명인 Andrew Ng 교수님이 만든 회사인 DeepLearning.AI 에서 제공하는 교육 프로그램입니다.</li><li style="text-align:justify;">딥러닝 이외의 토픽들도 다루긴 하는데 위와 마찬가지로 딥러닝 위주의 토픽을 다루고 있습니다.</li><li style="text-align:justify;">이 강의 프로그램들은 제가 직접 들어본 건 아닙니다만, 평이 좋아서 넣었습니다.</li><li style="text-align:justify;"><a href="https://www.deeplearning.ai/programs/">강의 링크</a></li></ul><p style="text-align:justify;"> </p><h4 style="text-align:justify;"><strong>Andrew Ng의 Machine Learning</strong></h4><ul><li style="text-align:justify;">Andrew Ng 교수님의 머신러닝 강의는 추천 목록에서 절대로 빠질 수가 없죠. 정말 내용이 좋고 추천드릴 만합니다.</li><li style="text-align:justify;">근데 워낙에 강의를 왕성하게 하시는 교수님이라 그런지 인터넷에 공개된 강의가 굉장히 많습니다. 위에 있는 DeepLearning.AI 에서 제공하는 프로그램도 있고, 스탠퍼드 대학교에서 강의한 것을 직접 올린 버전도 있습니다.</li><li style="text-align:justify;">(최근 스탠퍼드 강의 버전 <a href="http://cs229.stanford.edu/syllabus-fall2020.html">링크</a>입니다.)</li><li style="text-align:justify;">또한 Andrew Ng 교수님이 Coursera 공동창업자이면서, Coursera의 가장 베스트셀러인 Machine Learning 강의를 직접 만든 만큼 여기 올라와 있는 버전도 굉장히 내용이 좋습니다. 이건 버전이 계속 업데이트되는데, 그냥 Coursera 가셔서 검색하면 나오기 때문에 링크는 따로 추가하지 않겠습니다.</li></ul><p style="text-align:justify;"> </p><h4 style="text-align:justify;"><strong>Yann Lecun의 Deep Learning </strong></h4><ul><li style="text-align:justify;">AI계의 스타 중 한 명인 Yann Lecun 교수님이 NYU에서 진행한 딥러닝 강의입니다.</li><li style="text-align:justify;">이건 제가 직접 다 본건 아니지만, 내용을 살펴보니 구성이 좋고, 워낙에 유명한 분이기도 하고 평도 좋습니다.</li><li style="text-align:justify;"><a href="https://atcold.github.io/pytorch-Deep-Learning/">강의 링크</a></li><li style="text-align:justify;">참고로, 이번 연도에 새로 업데이트된 버전도 있습니다. 계속 업데이트되는 거 같네요. (<a href="https://atcold.github.io/NYU-DLSP21/">링크</a>)</li></ul><p style="text-align:justify;"> </p><p style="text-align:justify;"> </p><figure class="image image_resized" style="width:100%;"><img src="https://yozm.wishket.com/media/news/993/image005.jpg" alt="AI/ML 공부 시 참고할 점"></figure><h3 style="text-align:justify;"><strong>AI/ML 공부 시 참고할 점</strong></h3><p style="text-align:justify;">AI/ML 분야 강의는 좋은 강의들이 너무 많고 내용도 많이 겹쳐서, 머신러닝을 주로 다루는 강의 하나, 딥러닝을 주로 다루는 강의 하나 정도만 골라봐도 충분합니다. 그리고 위에 정리한 강의들은 AI/ML과 관련된 general한 강의들이기 때문에, 특정한 토픽에 대해서 깊게 배우기 위해선 해당 토픽에 관한 것들을 추가로 공부해야 합니다. 예를 들어, Natural Language Processing, Computer Vision, Reinforcement Learning, Bayesian Network, Graph Netwrok, Unsupervised Learning, Generative Adversarial Network 등등 수많은 토픽들이 있으며, 특히나 NLP, CV, RL 등은 그 자체로 하나의 매우 방대한 분야이기 때문에, 해당 분야에 대해서만 좀 더 깊게 다루는 강의들을 통해 추가로 공부해야 할 필요가 있습니다. </p><p style="text-align:justify;"> </p><p style="text-align:justify;">또한 위에 소개하지 않은 명강의들도 굉장히 많은데요. Daphne Koller, Christopher Manning, Richard Socher, Fei-Fei Li, Jeffrey Hinton 등 업계의 유명한 분들이 공개한 강의들의 경우 내용이 굉장히 좋기 때문에, 특정 분야를 더 깊게 알고 싶다면 찾아서 보는 것도 좋은 방법입니다. 구글링을 좀 해보거나 github나 youtube에서 검색하면 공부할 만한 리소스나 잘 정리된 사이트 등이 수도 없이 많습니다.</p><p style="text-align:justify;"> </p><p style="text-align:justify;">만일 MOOC을 통해서 공부하고 싶다고 한다면 Coursera와 Udacity를 추천합니다. 두 곳 다 퀄리티 좋은 강의들이 많습니다. 특히나 수강을 완료하면 certification이 발급되는데 전 세계적으로도 사용되는 cert이기 때문에 증명이 될 수도 있습니다. 국내에도 MOOC나 강의들도 다양하게 있기는 한데, 영어 강의를 듣는 게 너무 어려운 것이 아니라면 굳이 그런 걸 들을 필요가 있을까 싶네요. 내용도 좀 부실한 편이며, 이미 무료로 대가들 강의한 뛰어난 퀄리티 강의를 무료로 볼 수 있는데 굳이 돈을 추가로 내고 들을 필요는 없을 것 같습니다. </p><p style="text-align:justify;"> </p><p style="text-align:justify;">강의와 과제 등으로 기본기를 다졌으면, Kaggle과 같은 곳에서 직접 공부한 테크닉을 적용해보는 것이 좋습니다. Kaggle에서는 강의에서 배운 것만으로는 좋은 성적을 내기 힘들기 때문에, 좀 더 실전적인 테크닉들을 다양하게 다루어 볼 수 있습니다. 또한 AI/ML 분야는 매우 빠르게 바뀌고 있기 때문에 기본기를 다진 이후에는 논문 등을 보면서 기술 트렌드를 파악하는 게 비교적 중요한 편입니다. 다른 분야(예를 들어 백엔드, 프론트엔드, 게임 등)는 논문 보고 이것을 직접 구현하고 하는 게 드문 일이지만, AI/ML분야는 아직 정립된 게 많이 없고 빠르게 바뀌는 분야이기 때문에 논문을 직접 볼 일이 많습니다.</p><p style="text-align:justify;"> </p><p style="text-align:justify;"> </p><figure class="image"><img src="data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEASABIAAD/4gxYSUNDX1BST0ZJTEUAAQEAAAxITGlubwIQAABtbnRyUkdCIFhZWiAHzgACAAkABgAxAABhY3NwTVNGVAAAAABJRUMgc1JHQgAAAAAAAAAAAAAAAAAA9tYAAQAAAADTLUhQICAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABFjcHJ0AAABUAAAADNkZXNjAAABhAAAAGx3dHB0AAAB8AAAABRia3B0AAACBAAAABRyWFlaAAACGAAAABRnWFlaAAACLAAAABRiWFlaAAACQAAAABRkbW5kAAACVAAAAHBkbWRkAAACxAAAAIh2dWVkAAADTAAAAIZ2aWV3AAAD1AAAACRsdW1pAAAD+AAAABRtZWFzAAAEDAAAACR0ZWNoAAAEMAAAAAxyVFJDAAAEPAAACAxnVFJDAAAEPAAACAxiVFJDAAAEPAAACAx0ZXh0AAAAAENvcHlyaWdodCAoYykgMTk5OCBIZXdsZXR0LVBhY2thcmQgQ29tcGFueQAAZGVzYwAAAAAAAAASc1JHQiBJRUM2MTk2Ni0yLjEAAAAAAAAAAAAAABJzUkdCIElFQzYxOTY2LTIuMQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAWFlaIAAAAAAAAPNRAAEAAAABFsxYWVogAAAAAAAAAAAAAAAAAAAAAFhZWiAAAAAAAABvogAAOPUAAAOQWFlaIAAAAAAAAGKZAAC3hQAAGNpYWVogAAAAAAAAJKAAAA+EAAC2z2Rlc2MAAAAAAAAAFklFQyBodHRwOi8vd3d3LmllYy5jaAAAAAAAAAAAAAAAFklFQyBodHRwOi8vd3d3LmllYy5jaAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABkZXNjAAAAAAAAAC5JRUMgNjE5NjYtMi4xIERlZmF1bHQgUkdCIGNvbG91ciBzcGFjZSAtIHNSR0IAAAAAAAAAAAAAAC5JRUMgNjE5NjYtMi4xIERlZmF1bHQgUkdCIGNvbG91ciBzcGFjZSAtIHNSR0IAAAAAAAAAAAAAAAAAAAAAAAAAAAAAZGVzYwAAAAAAAAAsUmVmZXJlbmNlIFZpZXdpbmcgQ29uZGl0aW9uIGluIElFQzYxOTY2LTIuMQAAAAAAAAAAAAAALFJlZmVyZW5jZSBWaWV3aW5nIENvbmRpdGlvbiBpbiBJRUM2MTk2Ni0yLjEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAHZpZXcAAAAAABOk/gAUXy4AEM8UAAPtzAAEEwsAA1yeAAAAAVhZWiAAAAAAAEwJVgBQAAAAVx/nbWVhcwAAAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAo8AAAACc2lnIAAAAABDUlQgY3VydgAAAAAAAAQAAAAABQAKAA8AFAAZAB4AIwAoAC0AMgA3ADsAQABFAEoATwBUAFkAXgBjAGgAbQByAHcAfACBAIYAiwCQAJUAmgCfAKQAqQCuALIAtwC8AMEAxgDLANAA1QDbAOAA5QDrAPAA9gD7AQEBBwENARMBGQEfASUBKwEyATgBPgFFAUwBUgFZAWABZwFuAXUBfAGDAYsBkgGaAaEBqQGxAbkBwQHJAdEB2QHhAekB8gH6AgMCDAIUAh0CJgIvAjgCQQJLAlQCXQJnAnECegKEAo4CmAKiAqwCtgLBAssC1QLgAusC9QMAAwsDFgMhAy0DOANDA08DWgNmA3IDfgOKA5YDogOuA7oDxwPTA+AD7AP5BAYEEwQgBC0EOwRIBFUEYwRxBH4EjASaBKgEtgTEBNME4QTwBP4FDQUcBSsFOgVJBVgFZwV3BYYFlgWmBbUFxQXVBeUF9gYGBhYGJwY3BkgGWQZqBnsGjAadBq8GwAbRBuMG9QcHBxkHKwc9B08HYQd0B4YHmQesB78H0gflB/gICwgfCDIIRghaCG4IggiWCKoIvgjSCOcI+wkQCSUJOglPCWQJeQmPCaQJugnPCeUJ+woRCicKPQpUCmoKgQqYCq4KxQrcCvMLCwsiCzkLUQtpC4ALmAuwC8gL4Qv5DBIMKgxDDFwMdQyODKcMwAzZDPMNDQ0mDUANWg10DY4NqQ3DDd4N+A4TDi4OSQ5kDn8Omw62DtIO7g8JDyUPQQ9eD3oPlg+zD88P7BAJECYQQxBhEH4QmxC5ENcQ9RETETERTxFtEYwRqhHJEegSBxImEkUSZBKEEqMSwxLjEwMTIxNDE2MTgxOkE8UT5RQGFCcUSRRqFIsUrRTOFPAVEhU0FVYVeBWbFb0V4BYDFiYWSRZsFo8WshbWFvoXHRdBF2UXiReuF9IX9xgbGEAYZRiKGK8Y1Rj6GSAZRRlrGZEZtxndGgQaKhpRGncanhrFGuwbFBs7G2MbihuyG9ocAhwqHFIcexyjHMwc9R0eHUcdcB2ZHcMd7B4WHkAeah6UHr4e6R8THz4faR+UH78f6iAVIEEgbCCYIMQg8CEcIUghdSGhIc4h+yInIlUigiKvIt0jCiM4I2YjlCPCI/AkHyRNJHwkqyTaJQklOCVoJZclxyX3JicmVyaHJrcm6CcYJ0kneierJ9woDSg/KHEooijUKQYpOClrKZ0p0CoCKjUqaCqbKs8rAis2K2krnSvRLAUsOSxuLKIs1y0MLUEtdi2rLeEuFi5MLoIuty7uLyQvWi+RL8cv/jA1MGwwpDDbMRIxSjGCMbox8jIqMmMymzLUMw0zRjN/M7gz8TQrNGU0njTYNRM1TTWHNcI1/TY3NnI2rjbpNyQ3YDecN9c4FDhQOIw4yDkFOUI5fzm8Ofk6Njp0OrI67zstO2s7qjvoPCc8ZTykPOM9Ij1hPaE94D4gPmA+oD7gPyE/YT+iP+JAI0BkQKZA50EpQWpBrEHuQjBCckK1QvdDOkN9Q8BEA0RHRIpEzkUSRVVFmkXeRiJGZ0arRvBHNUd7R8BIBUhLSJFI10kdSWNJqUnwSjdKfUrESwxLU0uaS+JMKkxyTLpNAk1KTZNN3E4lTm5Ot08AT0lPk0/dUCdQcVC7UQZRUFGbUeZSMVJ8UsdTE1NfU6pT9lRCVI9U21UoVXVVwlYPVlxWqVb3V0RXklfgWC9YfVjLWRpZaVm4WgdaVlqmWvVbRVuVW+VcNVyGXNZdJ114XcleGl5sXr1fD19hX7NgBWBXYKpg/GFPYaJh9WJJYpxi8GNDY5dj62RAZJRk6WU9ZZJl52Y9ZpJm6Gc9Z5Nn6Wg/aJZo7GlDaZpp8WpIap9q92tPa6dr/2xXbK9tCG1gbbluEm5rbsRvHm94b9FwK3CGcOBxOnGVcfByS3KmcwFzXXO4dBR0cHTMdSh1hXXhdj52m3b4d1Z3s3gReG54zHkqeYl553pGeqV7BHtje8J8IXyBfOF9QX2hfgF+Yn7CfyN/hH/lgEeAqIEKgWuBzYIwgpKC9INXg7qEHYSAhOOFR4Wrhg6GcobXhzuHn4gEiGmIzokziZmJ/opkisqLMIuWi/yMY4zKjTGNmI3/jmaOzo82j56QBpBukNaRP5GokhGSepLjk02TtpQglIqU9JVflcmWNJaflwqXdZfgmEyYuJkkmZCZ/JpomtWbQpuvnByciZz3nWSd0p5Anq6fHZ+Ln/qgaaDYoUehtqImopajBqN2o+akVqTHpTilqaYapoum/adup+CoUqjEqTepqaocqo+rAqt1q+msXKzQrUStuK4trqGvFq+LsACwdbDqsWCx1rJLssKzOLOutCW0nLUTtYq2AbZ5tvC3aLfguFm40blKucK6O7q1uy67p7whvJu9Fb2Pvgq+hL7/v3q/9cBwwOzBZ8Hjwl/C28NYw9TEUcTOxUvFyMZGxsPHQce/yD3IvMk6ybnKOMq3yzbLtsw1zLXNNc21zjbOts83z7jQOdC60TzRvtI/0sHTRNPG1EnUy9VO1dHWVdbY11zX4Nhk2OjZbNnx2nba+9uA3AXcit0Q3ZbeHN6i3ynfr+A24L3hROHM4lPi2+Nj4+vkc+T85YTmDeaW5x/nqegy6LzpRunQ6lvq5etw6/vshu0R7ZzuKO6070DvzPBY8OXxcvH/8ozzGfOn9DT0wvVQ9d72bfb794r4Gfio+Tj5x/pX+uf7d/wH/Jj9Kf26/kv+3P9t////2wCEAAIDAwMEAwQFBQQGBgYGBggIBwcICA0JCgkKCQ0TDA4MDA4MExEUEQ8RFBEeGBUVGB4jHRwdIyolJSo1MjVFRVwBAgMDAwQDBAUFBAYGBgYGCAgHBwgIDQkKCQoJDRMMDgwMDgwTERQRDxEUER4YFRUYHiMdHB0jKiUlKjUyNUVFXP/CABEIApsD6AMBIgACEQEDEQH/xAAeAAAABwEBAQEAAAAAAAAAAAAAAQIDBAUGBwgJCv/aAAgBAQAAAAD6heF/KPnult/W/UY1G/dbdZfO5LzDcaStKA/N0WK8PRnp1q5kHKKmc0OhtG40SJFiRM7FvYNjrbqwnzX1wKytp82wNZ33qNZChNsqKS9PsrG+0Gi0Oh5V8p2jMgkGEA0oMJAIghKQAkAi/Zj4S4FwLmNv6r6RrLOHNTbt/OhLpRWX1Eybljf4zwzHcnWrmQdz9HL12nvEw6iJBrYObYu4dpsbm1sZiyh19RSZiMev711iBURGWVuOSZdpa3t7odNf8W+WSDMjBIMIABEQJICQkJBBAL9XHDua+fOESfRI6B2u7sEWGf8AngpZxW21BBvy73I+Eors20dyp5+ik67V3TcGrYiVNVQR9HCtdtbWdrJKiQigo6iEez7/ANPi0sVhtSn5c2ytLu90Wl0HBvl2kwYASAgwCJKFJBtgIBLQgJ/VpxHnXmnkE/2BNj7jf20eyzngIloOETjUdb867xvg+K7Ot5mSXmc5M1usuo8GKzW09ZQxtTBs9lbWtzZMRI8WozNDALdehOjxq6ujoCnZc2yt7u70Wov/ADn8xgaiACSJIBGlJKSDSlBJW0pAL9ifjHnvm/jvnTUdCupt96y1dxE8iNPMIiLNmK9IkaDGeCmHZ1vNyasrmZGw1du1FZjV9XVZ1nW1s7Y2b1nZkzWFWZ2gjL6J6L3UeohsttqkPTrS5vLvS6m98u/NQBZEQIiCDJQSkkgAIJtSTCB+wjxxz7iPBfL1pFuM0r6qb+YXlaNYxmIyFtxnpEi1y/gOO7IubLMJyeTla3UWRExHjVFTno+4q1620sbGc7Er4FXm6Jh7qXpnTxamE0yBIen211cXmn0995G+dCVgBCTCQgzSQIiQoJIJSQQB+yrw1zzinAcvo9j0Olp/R+zfa8ntWS2qwnjq3LCRd4/wFAXKubbPM4rHStRpJoNRRKaop2Oh00bTWFlbWLcOHEqM/Swnezep7OtrosZtKnZMy0vri90ur0HjD59MmowlCiSQIJUTaiIJNBJUkIDf7JfD3P8AjfnThnHN36treregtnKLyIJ7rdcH11YnSL/F/P6Aqda3NHG59hHLi2dWsBDMSGnqmfqNDaWE+ymsxK+ooKSpe7/6fKpgx2Y6lSVy7m4vb7UajSeHfAzSwARJBIBkCSDJKUgiIKQEl+xzxHgeN+dOCdLtZPM+je8txKleSq2S6uIs3aYTpdxk/nrAXNtb2na5xzpVjYuAyNtlpt3sVLj7aZNlTrcMxqympadz1H6Lg01fDSgnDkzrO8vdFptXp/AfhpKySYQA0aTCTSQNKATYNtQaUf7PPA/PeJ+eYPrToTUdvXz50/y5SlDsWDN6pTOl2+M+ecMpVxfwBzLmZT7V8wA22xHHbq3mxh5br4ccbjRKeV7E7rVU1fEQ0ZuPTra70Oh0+r1Xzt8WIWpJIUGwgjJsAEpKWwEgjbWGf2i+Bed8C4G37E6gyb7kmbfeZaaLUWbLrTkM5kt/I/PKCcy31MMcz5GU23lKcQEtMtI75U8oJ20p4rqlNNLXWSfc/U6Otr4TKQpx2baXt/otZrNZ82PHqFmaUEpoIMkgkEskgggjBElB/rr8tc64R58L2Z0xg1SJE3Q+c6ysqrWulMETr0ssb88oxBvTzJGC5GJFpKWGiAS+96SwfJA4MXUrWlaJusrHvfW+oq6urGyUpxVhaX1/odbr9V8xPJqVuGhJJSAlISaQSQggQIBABfq84NzXhvnpn2p0pLan5cnSeemKmmv6SREcdVJcGI+eEVeOw+8hQ40QG/IKOgnHZEuf6L5/yYOIxdQpaQUvZ10z3f0KiqYkGMha1SpFpe6DQa3Z6z5YeWVGCBkTQSAaEEZJNJJSoiSpJJ/U1ynlvCvP7XtbqUVg3pMjR8BVXUWkpHmFGuWSsL88Y7uO9KfUCgrKTN5/O5WjztHmKKlo89RxbiJWCZJqKNgNrlTNVVWvuboVNUV7EdCwuXKtLy40Oq3Gt+TPmdSyAUlsgkINBBKUqIibJYQZtj9QfPeQ8L4Ij2n1yJXglyr/AIjOqaXRQSbIOT0PYX54wnch6y+naiiTmzh2cE86KU3E0ufzOUyWTy2YzFBQZ7MV6HSlda1smfY2c2ZbTrCwlWdxa3un2+t+R3m1IAM2w2RGSSNLYQaTCAYZW2ofp3wPHuIcDL2r1mLXsx0O3fJaTGV94/tUPG9NdXg/ndBexvsv6uSq/OoWG9YbJq0WSwM9RmaUobZh1kGBTZzM5fF5nK0OQzWZzdSuTZ3mo0ug0+y3nS+7/KDzmgwS0A0NERJJKgEERIBAjbMJ/TLieO8f88K9vdTh1MdvmfmvjfEc/QPSndJ6K9G6TqtsT3PfnZDViPbX1SuxVw2ITLLSG3Zd5ACEESG0gzZbJIW9Bqqe/oEozs2kosbkcli8jkMzleY+i7bz0SmlKQ2AkghCSUSQRE0SgQQZF+l7nnJOJ8Ime2uoVtZ5V8C4+5gUDdRLKvZm6XuMv6Fdbj83+d0A837g+nWhfdUeczdDbvU7537EizfCwFGoIbabSlKUtkAYQ223DiNvs5KX8dW3fP7YMJCDSEIW2lBBSEG2bbiUEpSB+hPF8z844q29w9G558z/ADvYycwwYZUmMzGc6DD3/wBhbrnXztox7EuPpBoJCzFAwUxKIFY5Ut3Ko0gM6YTNLLZaZbabIklUsW0WrtYsKQlsE1RfDm8oOGMLIjQSUhAJAbBhLaXEoNtSEmE/e7nPMOER7b2/0D5XcYzxZuuiEGClOuriJ22t7h9EX/mPRp9M9T+i1/LWE5VmunUOgzGkqb+h0kaVfJnKgtaW0MzMkBCEMtKoKfR12M1NCvop81zXwx6Py/jiSAQgiQAhJtLQaUgIASSTJJt/eLnXNeV0t/7k82+IYeCroUKG2yCCH3rKZcDvn1NlfMbLRr71/wC876bIfdzclMWpuxJgWEG7ixdBRat1xTi1rdcW6tbprJfJWejYff2xIcboOc/n171w3kiCCCSEtmSELShJkAlIJICEA0/brC4DG57WewPl3AzfJ40GGs0PqjB85NhfOl9DPqV8heRVWH+jPt60U2lO8lsV/LbK9fDwsplBY7itibhZhDTaWiSkHCzCtaqPPn2bi3Wq/j355vV3k7niGw2SSJJIBtpCAYMkISo20AIV9gcnj8ixseM8zg8uz6IbySW8yoSI4l3TdbqfuP5E4XR80+mntG2UlCOkTmovP4DIr6HvN+tSXFlMfXIcW6tRIS0TUWFIhZeXebFxw2qvh/52PbHjfBNJSEBLRkkIJIBJCFhLYDZBbZ/UXPZqofxlg75Sw5RwROqakR1LILk2LSPRfrHiOf5R9Q/YdqpLSelTkwcahAS05JvHrqTZTpj6zSlokESTUa1uPkpxTqlCq4B+cr374bxqWWwREkkthKTSEmgJIgQbNIDf1WzVDVr8p/RHxF50q0KQHgyoEYC3n5dh6e4L7HzuS4b9a/W1spDaOlzCr+fB187hVkqLbVYgyYNG7c7ToZEokJQTLaQ2rNxp06xlMeePzi/Sf5+5FLRALZIkNmyZOE2aDbSEgghIMvuRQ1Nfh/lj9Nvnjkq8JZlpaBGDNJyp0jSfWP5Ye9sfyrgn2A9W2ptNo6ZJRW492SUx5MmspJNnHb6/pTRGVYEaAkgSFEZuc7oVuKchcD/PZ9UvnFlg0TnuTnfnOqYQgkpadIIAbIgEKSlIH3uaKP5S+b30X8Oc9pG2nH2m1KbUTgVPlltPeOj5/wCmPB/nz7KeobY22m+lupg5hUiMJkV2vlT359jd65a1EAaUkZIIzBr5xTuPvuxPMHwF+rPzIoEtol/om+RnjGokbe8r66qaSk2A42bJAyQaUn9y5khn5++PvsX8iMLAJUttlLhodafW7eVjvSvZv0V+Qv1++Pvnz7SembYNNt9MUUTOwksRUOW9rJnXlxEd1DpmkgpASRBBqIOcyrZEl95vxt8JPqt8vqhsFrf0kfPjzHxDnms6Tfp5/wA/kWtPkYjDTJG2omyBF9qbOaPmX5t+x/yAx5LcUyglLJ5p56aqJJ6l9A+9/IX9DnxI83/bH0jbk00305Scpz68nSbe4sJZiFYaxbjylBIIISRpSRgBzl0OS/Kkr8JfET6k/LKMCLtf6M/EGUdiz4dPh+XeYMfWv7GwnLyfP61CTQREPsfbWb/zRwf0J+YWGD8dsEDfbkNOy1x1PWfWvafzb/QV4P8Anz9vvRFsG2C6YE0mQdOO1Mjv1/adK84844agkBKW0mhCDCiVytqRLky53zv+K/1D+WjASr1R+g3wRh7O46Fea+ZScj4PwfzxicvSJv8AYc9jgltkQ+wFtbTPnhwT3J5M43ERFAMwslplOtmgoZyO5/cTxZ82/uV3+1S20XTwikogcJ+HOizWNVPu7G0mvLUQSG0oDJNpUpI5QH5kybb/ADL+Nv1A+WbKw57z+7XgLmc96boL7U3LcSixuawvKuMcazOKjgISAPrtd2z/AMvuC++Np8+8tBQ4FIIjCpJhRwmzl+hum+qvmN9ze82oYaHUSapstEDDz9xZu3CFSGIE6oFrJVbzJjzqkIQQWlHJVyZU2zvPk58nfpX8vI6lF9TPrL4Ly89+U8/Mds1VcS4kPsr+NfF2UAkqSX17t7eR8euc9u+pHyf5dHBhSDUQWbrpogKXNsvpv7I+HH3J7namy0vqDTOaySZqHruXMOZGgqsqzRs2EySI0ODUIFbLvXZtndNckdky5lpovjp8wfov8xmlgfY/3D49h2Oxs1QoqnriJAefjRlfEbDxwkgCT9js/TNfMfMSvZ/EuENgAyNwAB11cNlS3dl9UfZXwQ+4vb7JbTDvT2WszjbUWDkkw/AVYPSLW0JxEaLDrarrtuceHDqqRe/TyN2TOk2uo+J/zp9/fNNkkn94uwed12O81TpRoEKpg2xoq08w+PGeQQJAIaakgxktpNtkiBABZmFLWUQjcV0X3x79+F/3C7XZKbYe6ZWNN1pxjhwH02suzdsZ6XoTLVKjRdBfQQS2CUCi8mfkzZNjovhd4n9meU6GiqGPXH0HYVbbSc8666mpgPIg1peWvlxThslJbUIrUtDsnPskYBg0gwS3DWiKDWrf/Qb358LfuH2SyU2zL6VTVucwd2qwm28q2vZy0NxMrDVG1MlV7Mly5C0IBqAhcpmSJMuYv4OeTOpah2vrs1cfT58XcnMzryZeS4iXI8Ota8M/OynJIBIMqhAASQBEDBqcaJSw47HjBSlbH1D67+c33A67YuIZndKSxks2lmqtaa1Rqr+Raz5suW+4YgsU2cYVVu3bOhurGdX8ulS5Up2p+CnnfoaKqui0/bPpRPKzkUsS2mOX0xx6JXw4vzQ8Sw0JAJBCqQRAEACIAKcmwkLeNcaODUen+ife/mT9uOr2Rhuf0RpGagrUtx9YffrmQzO0EGXaW6n3wtxZM1MdqH0Ov5pNkS30574Cseo5MaBn+J7v31NatrN9lVm1Vx76ZFgQK35IYiNQ01fCYjIRWtEQQZAAJIGcq3qELW7FjAwvQfTXOeWPtb1GzWluz6CyzWxCQFOOyJUqTIfe52nLz9ExA029WSiIiddW+3zybIkuMZb8+ep9DSp81/zV1/2M4NZ5zRvNRYWUyUaY9dW5z4y9Dslm1HpqmpoeMMoBEAQACSBqsdTkm3pKqUgarv6hea8T9qemWLiW7bfNx8VmWZF/LuLCZLlqUa+d42y0dpXVF3a2qrWSpSVGbjmGmyHlxsX+eba98D84eVPenoU3NB5Jz/QsJzzue+sel2LDdJhfil1WihnMW/KcT5WYQRECIyACSBr2tnhplnMqKmVLk7D1hgcj9pOi2LrbVxvG2sfUFJlNSoj8ae3YXdnoJKm01ldmwwwuLNtRO1r7isXNfUbPPvzydI7XCkSo/lD609IYcZ8pbfXZuZBLGes71KKfifzn+vkTNc/55zLCYHI5zhkdlIQQBkACSRix79x6VpNJ9EEeJ/r9kfEmbwFL9od7YraZu9yhrLsRlIqpQVdS7JLqLOtcULF+fZSDiQa6JJt5DkgZF983I3Nfztdl7BXOKqvNn2hv4IpPI3XtPUyrGCXoCQluB5O8ofTC1lOuPm3CoPzwRoxAiBAAAiSA73Wfi9Np/tB4Rx31/wCH/PLJYRv7RbGcbTF5sko5bBqrizW5Z2EuVIbjsOK0vQWmKqtrGq1jYblJGgl02VkPhUbl/wCcr0P1WsJtnhP2iegu0PlTtNlXbGLmbbuamjieB+bex7J2cuSt55z878WM2TZKMgYIgkgrc+kOM3m3+4Pg73fU5z5x4/CWf2d0kpDLN9rDbySRJ2Btts1ikxXU6qU9f2MlwBRgKSbi3JGQzjzwXH5J+cH1F02BHag4v69xIN5VYl0qCypoG07A62mu+ZEv0NKeOUtTsh34SRm0xGwDBmQIEkK1XrbhE/tf3NwmQfrvnVhcBffZq8lJaau9OsZqpkxYVlDvpl3bWE10MxqiFGqoltMkaC1tnjUt5x/F0ch41s8U/N9646ZWhrIXn05hM6NeSjRlP5Gs33TTacpfkF2XprhvKffnoX8TkNRCAMwYAIEkK1vp7j9r6V+vXymz2r9KeV8JzXiHrPoPSOkdC1Gl117bU8IpyZt9JqyhsuTTt7J+3fWbMaphVK0JrtPd32jxVW+4pxjz7+dH2f0WqMuecv8AoN2zQWbk52JkKqPE6Ltwy7SfE303oHVSiVLeeT8cmSAMzMAAECSFbj0tyXV+p+v/ACQqrv1rs8vjOVwYdZBi2Ox2u43W96Z1bpWmt9NeT5bizCWI1IVfVy5NvdzrGYoorMaJ0DGVsh9Ya8ufn99s7esFXxLy63ufR/qrt+00C0TxirzckJFJ8HPYMpJrW6JIc+S6TUADBgAEEkF9N7/gN97X8/8Az+RO9V9VzdHWtLr6soUCrrKmuhx52s1uv3nTur9X6LqtTqNBKSagIsSrgVoU3a6++ek4iO6+6pjxx8JPZWMdVxGgaqoCpmk7T6Q9G9M0cyZMfQdpnfgV7FjvNrkKjuKkfLYLAABgwARJI19n9URUfR75B+f41n6x6dms/AZKDBnzpDzzUeug09bT1dfWxIdrt991Xe73pXV97r9Tf2Up8mYsWJNsXZOFEl942vCvxT9seT8kxWW79jIRVx5E+303oD1F6M1C3X53Lvif6lYWGXzcEZPzlbIiAURmQIkgBzp3bPTEP6Ffn0p6K99adNzVFXQodZFfspUp5C2nFLedksR4ECpoOcIiQX9Tttx0PrXZuw9Dv7q3uJrrz2LXLkPm187/AJDdi4zlmpClSbKW2/MjXWxs4Nd1P0n6m6Ja+XfmF39DYfYaCVl4JhxEEAAFBJIMjOYZ9K+ifr34Y47P6r1v07NZusrausYn6rocTCwUm8/IkSZb8mY/LY8q8jZdef1HdMRhWKufuN90nqHXO19k2jV5ZTXRH8X+DfJ/Lm5r6lIWGZ2viWqHLbRXdZkNv6NzHDuwKaS0gjBDwvHitEEkoEEkCMHMhi1657V8E5Wj13sDouTytTQ1ETofUfQm8wvC+O1yjsDkvvPyJU1crnHkelWpe09+M4Xt+PxGKyOfztMyrc7XovVO4967p5U8U8L5ljoER+YT0cglsrB661or13djX5Pq/UWY7bC2ZCW2fEhxmkEACJJGCBuISDnevLPzLmul+uNDhMrUY6lldv8AUnZs/D5T5+ysm8Zp605Fjd2CYlnJ8qccQDsPQ/ZdL3+oq4CYNXQZnL5rL5fL7H6H63xFj26fI5eI+6H21KgqaZZXc6exoSlxWvTl+1DQlomnSHhxbYNKQRJAAAUaADX0r6seKcd3voFPy/NZ7E11j3P3MjF9G8u8TwhyoRMNuvWd7Z1tnsMV5MqyJWs6l7H7HV0UZuniVcZiviM+kfR0umyvI+B8LyOYo61m2D8RSAiIytDDr1zbRu59Uaix46WVkgz8MmDM0kQAAACkgwDe6P3HFZf0hvuVZWjyEGZ0n1FS81p8wzU3kxqKxHYZJ9t5y4f4lg2WxN6N9GN/XU1dFqquurKqH272DrKeoqYLVLkfOvAeT0DEaSGZLcc0NxWnLu3RKkdJ7KxEgxwaVJSXkOsiEAAAAAAZAAzACknfez8jjqLPQkLs/T/SorMOgqIjdVXQYrRNqQUpGPx0CI0zovY3YrZCWYFRT1Gt9e9graurp6uqnWMKjxXJeB8W5u1esRW5bCGX37+fAt1o1PaRFiNkGScSPPOMpUAAAAAAAAAAAAGrX9hydZDTHb1vunoltYOtMNQoVLQ0OYz+dp48aPGoq1uJT0UTZbuyuLq/vJsX1j6ZOmrYtVSxbyScOqzudy+I5hyjnWXrXxHUvR3kqO+hpuz7O6wywpBKQlHD8VQNAAAAAAAAAAAAwcr0ZJxMFDDTzTNrpdHrNnuNpqdHbTQK2DU5jIYLB5nF4HPwlWti669Ilqj+kfWnbgwzUXFm4hmNBpc/maPN5fJYjmOFp27vSSd70XFY+sr2X+s2UdlkAn2lOcDzWabAAAAAAAAAAABko7f0hN51ARGiBtphpttJzbPR7DcbzddB2mjmJrqHGcl5VzzEUEdtsLcbkyy0/pj1JvbqbLVDjtxaXP5zN4qvgU9NnsHlJdfe9Bnw8kdFTN9GvY8ePe9L5KwtS/LtfBIAAAAAAAAAAwQMBVz6ZZx8WI2kIjxY6GkE02hboVP0296d0DoW21T7cDIc95xzPBZiLWVWWbEnWezvplR0liUZmPR0eSy8WBTVGepcrz6HaOs0Fxa2MujzOm0cRiJt/a/hepUa/JhAAAAAAAAAAAAAGAatl6izcAmqqlqY5AIQaQ2SWkMtJQ09aa/pPV+p9E2VvKepuf8AIPGvHIqUnYdY7FoPqPg47TNLTV0aprM5lcTzLd6rneXqGUpn2FhYwqG3hUnN+odpzmSJR+VwAAAAAAAAAAAAAYAEztXa9xK59xHl9S2pxx199yU+s1k0xFYbQYcDkvV9M7F3Pr22R8hOdtsJJtiT3yV6TyPpO3daqq+kzeS5HwCn+uHUuYcM4dz6makvSry+zVMnL8lc7htaWIt3zAAAZAwQAAAAAMgZAGAap3Z/QXnzlNI0QMwowo1uqcfefIEEh155TAJMnWaTktopa1rgNJcfYm+ifTnVhDznN/M3DqrqPpvcXGkl4rk3NcuyVlexMK4fNsl3J6lmXOk8lAAGRgEAAAAAAADAAMKdXqcehIAAAABmDMzU4pbzj70yTJUpLbJRilzHnATLLS2gDn9J7h0TnHnuhZckLKXpep9i6deYbk3LMzKb4nB1NPz3rFlynT7HR+ZQAAYAIAAAAAAAGAAFBcgjggAAAAAAAAGap2+qqRhDj0uRJkyW0FMDkmyAh7TuaoddVUtDTZlctpphhiOyJuj6T6J9BdEo+Qca535xxjblA7u8JZWbGUSAAAAAAAAAAAADAACinxnoIAAAAAAAAABzeudGmY/J1lNUpCnJE2Q+6pDqZlx7q918E5djspnKSqqWYkCLHYZhRosQpV50LuPc+y7XI/IHjdSqTXuWF1begvHSCIgAAAAAAAAAAAADBk5JQy0AAAAAAAAAAZrddmWt/aLj1VRWEt55UqQSXbnrXtL0LyHheSpKyCiPEix0QW4yKuDGYdsb/q3obq3yQ57DNaStddPyeaBAgAQAAAAAAAAAMAjAOdI9meWMEAAAAAAAAAYAMAKNyXY28hDVJXSZso1OqsLG29Yeo6HzjlqqEVawiEChsMshhhtL93WcbpiAACnTYMAwRkRAAAAAAAAGAAADPZfRi/8AlRVAAAAAAGQBgAAGDIGAanAwJLkuzmLjuypL/Z/Xum87YmPWV8ZttDkVlbiWI0KrqsXTMgAABTjQCgZGCBAiAAAAAAAMAAwcr1H7O8veKGgQAAABgAAAAAGAAAAZGRgwubovXUDy/Hff1nsPrnEeORWG0w0JhVlRR1sOClmClIAAAUtoAzMAAAAiIAAAAAAAGAFu9A797U+aPGLCCSCIgQABgKMBJEYIwAADBAAA3NLvMU0Trkub6dHBxNbpqSpgxzdDCGYaCIAAAGtsAGYBkYABAiAAAAAAAAC7XY9M9R8u8tqsMjbZfQZl+EplJEARqBgAgRAEADAAC7e9eYbYS0pa341S24Aa3prkeCiLrpdfnqoAAAGpAACgAAYAIAEQAAAAAABnZdM6ties8X5903G9KxWubyT2J0GHts5Nr1sgAAzMwCBJIEAvTamczUwozTaCDbiGUGApayS21ERpOj1/PaIAAAGpAABgyBkDAAAIgAAAAAADd6p6a5LO+m+qo+L+Nc5x30Bwj1R5f7hxbqPNX87Dl5WypH4gUkBRmYCSIt53bjzbEGO00y2RESEoCVKUhJsx0lI6nMx+OZIAAGtsAAAAAGAAAYSAAAAAAAaune18XiPrjIrqvTcY8JebKO4v6/fcm9Aee/Q3mX095k7d5+6TyPS9682VwABgzMz0fd/N0ZxxbqjMISaUECMNLNpkiC9zc1VPBYZZbSUizogAAAAAAYAABpAAAAAAAPY/S3uVloLCwNLNhk/MvIeTGjz73viPoHj2nxkbH6LtXpXwnzkgARggDBmkAA1GFGpQCTSkOEhKQArd3cWKltptsLnM4AAAAAAAAAAAzS42AAAAADs/p36iv4MG2tWmg7c33OeccNoaK+m+jvkynvHN/V3IfEkQKBEARGQAAAMgADBmQBgzUkgQAsdbYpSpRpUt14ceAAAAAAAAAACgkAAAAAAPepvqFY3T1dAkSbKzsL23f5N8y/DsnrndLPqnOvVHzO4SkSOsZbHw0AEAQIAGCMgAAADMwoJBAP2VlZyCNxxTjinFPcXAAAAAAAAAABqSQAAAABnO9R/U+VBRZBEizvp9jz7k8BPifyG16SY4PL9mwInmaT0CRoKvzdSEggRAEApCgRAAAwa1JIgQVMsZUie4A4pbkhanHeLAAAAAAAAAAAGpAAAABv2l5s/WPu5lpuPLvbOxVgOS0UydX8O8N1vbegdX7T4751s+1abzh5ru+v8AOeaw2UJCQAAQMEEgBakGsJSAH58t5yZJWThuuKcUp1fGwAAAAAAAAAAAoJAAN+yvruWu07P7I64w/JlSZON43l1T5XNvMPHYM72J1DbeUeY17rCa/D9y20PBcegx2W0BJmGZDABhJqU40hxJALmS33lSJLzyHDUtazeU7xwAAAAAAAAAAABREFTbS5s7QkNuazu3vORIed51yDLNz5OI4NyKrZ0fqn1Xznzjgq6NT16tEmLHq09P1GU5vgEJDchmIpIBqSaySEmQN6e+48tcmQ6tSzUpSnHA9x0AAAAAAAAAAAA1JXMnWNnPntR2hO6F7p9AwOXcSzSJK8rx3mUAh1D0P0q25lybI0tHVLelwbDa3WN3fUua+ZqxLKpT1AgAAKIOISAAAuXNkuLclPk84onjWa1OL48AAAAAAAAAAAAFGqZMlzrWWqKcNej779E/HuKgqdLlXFIDz6Udy7b1O15jyjHYijOc/ZQvVfOo3UJmU8Q0k0oYefggAAKSHWgAAApybYSw6+t9bhm4la3FG5//xAAbAQACAwEBAQAAAAAAAAAAAAAAAgEDBAUGB//aAAgBAhAAAAD0nK53z3mU1adcOwWe8ec9r5x9MrK5qx3fBxLr7LrtOvbjwQ0PEgEkST6vm8/57zc+fRqZpYb372474oLr2V82ZWexufxbdLaW2a9uHCNIQ0SABPq+fi8nVyuM98NNkWfQCzHe+drL2RjNlZ7J5nIuvtvs2aOhh5pFi2xMkSAHYtweX5XOxjw82S30F1z63ribip5pxy1s8Xn26W0X69m3l5FibJmJkAA693O8Jkx5Zd5l2f6A9eXo2gBQ7TmQY85mt1Wan17tnMxyo8zDAAB6KnmfPefWiWs7sWfQHjLs0ABna4Aqo8tF2qb9OrZu5WNXVyHYAAPY8vl/O+ei12M7s1nv7NrVoTCkS4BGbycXabLr9e3ocfEtkrNysAAHqubzvnnPWE0OkzY/vrLr7YQtssWWJiFTkrQks12vpcTKlsjMBIAHqOfzPnePrdrp7heTxuNP0Gb3FmIBpkHayyvfawQHH51ajzDMESAHpObz/n3Y9BNrkWtwfNe74vomgmFVYJUB2sabYsXQ/P56VszSNEgAHo+fy/Hbu3otsIz5tXB7VHUtiFWIAKwZplpp2NL38zAU2TIxISAHZw4PJen6bCNDV0ipvtIpIhVaVFl5LHdhmv5vNJIaYaQkAMdVvkfoFykyBnzdHLrchFiImBSIYaxrHZpswcqY5HVdyJJkkDx1PpvNe8uiQBaOT6LDueFrIWFJiFZiXe1ndpw8ls3g/sbxkwZnlpkDxlHs/Me6AACrl93HtuhKliIiIFJJLGsssmxudy54/nft2+2cnO4POmySTxlHtvCfRbgAIktw77lVEhUCViCZZ3mx2eebgPL1/XXrlo26eN5GZJ8Ye68d6TpAAAacmplRFCIgWYkGdyyxrDlZDxftvYPUkk2c/wA2TM6XAAAAL8upCBSEAYVIYtd3drU8zzJ1+8vlEga/hcUJNoAAAAWY96CVPEqERMBFjuzvY9HGobqeicrhWubyfNtaTYAAAQrhg69YiAoBEsLDWTazu9HKWzq9exEpa938TyaZa7vAAARzi7DrOxUIsSqRMixLS1o7uzZ+EunvdN6VrbQ787bXTRmxgAAUc6zB5f2erqpFayoREAsPJYz3PL5vO16/U74qUi65OZod3nzgAAFHMbz3P9fvvWXhCCb4VKmcZhr3Z8/lls9vuVK0a3Tl5bFkzywAAMXG29fm13WFZY7RCTbILLS0vbY1mPzi7elo2arUl9HP4zS7rnAAA5vJ6fT52e+VxJZdc7OyOCiX3wW3WPj5fRAKszdrq38nkySAAAAU4OpyKtDV5Fa4ewF36DmZle+213uuogAApw5+jfme0lLwAAA5Mc3Rpvy4zoLVdZEE9Up85ilZv17N8vZIABKRiRmljYAAAEYruZe7Ys97y7QQu7Q3D4QGjp9RohXucACjHA0sF2kAAAArz2xhppSukssa2zTufDTnTdqlSxBlax4zUITDSSbLAAAAAWu2trEmEqz5s+ct1XzL6TOWvAtNsrXVGO3UPJB0AAAAABWiQAABKc2XNXu3uZs+u5IU0UClOBOxN1uOd4AAAAAAAAAARMqZUrHZ6wZM3SuzYqMPoqrNGTJ2AAAAAAAAAApq0OCtVRVVzYiy+213axOfycntrpKOR3gAAAAAM2kAAAAAADDysis17PdarZOf65gAAAAAAA8L6/WAAAAAAVnK34udVqVLNDX36mAAAAAAAA89g9gRIAAAAAFdhVkZ3teJEcAAAAAAADz9PbeLYdXJAAAWq+JAAAAAAAAAAAAORm6cjMzxVY0UawAVbAAAAAAAAAAAAAEyzIrKmit0s0IOAAAAAAAAAAAAAARTS8EC1V7ufynq07MXoNAAAAAAESAAAAAAFebBTfsuKq1bXfwPN9u5pw6e5fIAAAAAAEQwAAAAmTPme9tNdZsuM3kU699a69VmiRHAAAAIkIhv/8QAGwEAAgMBAQEAAAAAAAAAAAAAAAECAwQFBgf/2gAIAQMQAAAA872ul9S7N9+DEoRgofMkWURtcK6pxtvklSdj0uZZK6c+PIWqSTBRTEB5jr9L6j1dunFihXCuUPl0Z2YzQU1wshfe1GuPa9FVDLXmzZcUrZxQJSiCAPLdjb7K7t+iqojXGkXyxTnnhfGmsmp3WxVJ3fS5qqaKMOXJK9xEIEJoDz+3o+w7PX6NVZVGEV8qjO3FGYVxuhGzWQrh6ns5qc8MmTLktsbUQCIAg89u6f0XX0t1dElChw+VRno59IAaa6ndYKPsN1FFdOfFjy22MSlEEOKGvN9Tp/UunfJ54ldTp+VI287OAGiNIyVk/a354Zq8uLLkusaABAk0jzXX6P1PqWynTWUwKPlcObCU4EHPXGIBLV7ZxzV05MmLLpmCGJCBNLh9DpfUenOTy12qsq+VU5YpzhXTTCoBSts7UL7byEMubTMTJRi0AkHE6PS+pdDgea4mIfa7fqT5VXz7iVSAURAEdGOMKUTNvTknKDJwhJISOVv6P0/zPkVFNVR9B7X5x3PG3JocUAA3JIaNOaGbsNSGIinEEjm7el7nzvDoQnZKvv8AJu4NoJMEJg5McZBKuXO7Q3KAmRBCRm17vU+SwQk2lcPTXyrkNCQgBuTCQ4RMvXcoiaTSEIO9PL6z53Q5xIGiyNduG4QkCihskSFMSM8ukS7fGrIppoQR+lavD+g+f1XUyi5W3bORqxWACik0MJOSJJMxatjt+u/D6dFtt9UQSF9K1fOPV/PZxTFfG3byNFE5IiEQQDmpxJxTMW646f0j4nndqu36IUoS+laPm/uPntEWiTcErFJyUUojQKUyUJhFmLbdL0Xf+Uu2FhCFm8Qvo5809d5znA0OdZU9DYogRIjcgFIaFi6cz3fF8USdpKM9IgoggAAaBQ1zdaikgSTlKRCThKS5/outno89Q5OblG7QCMgAABKIJaXOEq0khEJTaGhNrD29UObigTnFj6F9UUswAAErqoBOyZFRiwEqlGy1sIzUcHodGflZkTJxS63StlCnggAAXbLM/U5+NtxURJDGKLgSuAjzvU6svDzpuSYU55TnbcAABd2Z3e5+fcK1MUUJCG5IJRcZxXP9jfR5iobkEW66knuAAAv7k+72PC8WpWWOCilVIlIGgYJYfa3ZfKRLFJxi7koQWgAADd2c/E6G/JmlDLCIKTtK1McQGmc/2Zz+ZSQJkCe2MIKIAAB0+7y+Tv6NFN0pKKrqpqz1gErWlEZh73NjJyuuniyR07olRLGAAAaNvN62/Jnu3SzwcnC2vjZjr6zHz6YBK0gpRGW39IzUa64RSwAAAB2I9fHlo3dqHJhJpumHIL/T+jqhXlxczPLJRFqcFJF9mrbSVQXMQAABLbR2cVUuhfTGcYVIt5lEPResrjHNzsJCqMMlINF91mjVCMIvnZgAAACzZTZu2aNFsq4Z4ZsebIt1+m6mEa602nmornr011X7IQBcugAAAALdUFKFLLNGrVt0rLlx00lE9s6Ro0RjVCV10KNULIVnHAAAAAJXVRcb6rqooc9WzdvnyeNFadUYk5rG4xldvePTlzaY8kAAAAAGgAAAHK+uUNDaiO9mV6+bVo137eJ0MnL2dnzoAAAAAAAAAaLskHYp3TUuw1mopjBVq7o9nZ4GuKu9F5gAAAAADXkAAAAAkRbls62yrOlWqaJw29jxcQaAAAAAAPpHg8YAAAAADsfTw7uhLIRjXGirPEAAAAAAAD1vT8CCQAAAAAWQc9cao1xtqcqwAAAAAAAPaaPJwgiJGMUAAEtOeyqJKLQASiAAAAAAAB6XfyEsuaCmKDvyABKykAAAAHKAAAAAAABd14sCFOK+m2OWwrAAAAAAAAAAAAAAC7ZqTTlOfI6vbtng5+jzWYAAAAACcWJAAAAAFurZOUaiVjowZfU+t4Wamjbi4+eA00AAAEotOSiAAAAWbdM5VX0Sqt52VdD39fFxk8cMeastqAAAJRlOEmTr/8QAJxAAAQQCAgICAwEBAQEAAAAAAQACAwQFEQYSEBMUIAcVQDBQFhf/2gAIAQEAAQIByIeMraKkVB2PcpA9rVENRsvxzLS0VoBaWmhoasoJPITU9O8SopqYxrOjmFhb0IKcneGJ6iTU0NAQGiCiHB4f5gGP8OBRWvAC0E1MTQwMTQwcoPjWv9D/ABZN0itUp68opig5tiMej4vxxBFDdFkaLeutBHxrqGtDVlBJ5CangjUvhijTEAWuDloghwf4jTxCGABoDegW0Q4PTwgq6x/hyK1rXgIIJoamJqYGBo5Z/Vr/AA5PkHq0L6mUAx8ErcdMywxaQF1WQBrRGgiFpBANWVEngJqanJ3iXwxRJnlyctFOTk5BRp6hTEAA1oa9rgBInJxf4CrrHrRTgQfGkAEA1NDU1MTA1cwP92vORxEqsLJGVVHY2WdjIoVHL7O7XXTK3R8kaI14CYmjLKRDwE0EOGpvDFEmeHArWinJyegolIoE1BNLT2Jd4cHp4f4CrrHjTkVojXgeGoJoamBgYmjmh+5/rvGZWFkY5xdv08+zkv8A6kcur8wqXRMLFmV4WtIjWnDSACYsuH+Qmop3ifwxQpi2XI+CHJwegoVKoUwoIOBLnPMnse973kFqrCg1EORRWtLSampqaGKMMDRzg/8ACtKVWVeVhX6tbGvoHFyY+lRxbAAJ1J50RrWnAAho6sbl2vHgJviQBWPDVEmkLaK6lOT05BVmziINTUEBpOTgQ9PDvDVUFNqcj9ggmpqYmpijTU0c7Ov7x4ttmVhX1MmQR3IZ2V5cb+sotQE4lWgtEHwAW60EE0ZVSeNNTUFINWVtpiLHd+3btsl6KcgqgsqIhwLSFsJ6KKcnl3hqx4rNKcj51rwEE1NQTVGI01c+Lv7x5uOlVhXxMspkK1iLJYTPO5VBlqC00Siw3wAiANEEBBANWVEg1oJqapRq54Ba8S+33e73e73GQvJCpNuNjTUEEHBBEORD04P8MWKZEHIorf0HhqamJqYmKMNXPifrrX85+lpkysK+Z1aoU+OO4m/AS8co08axAPbbZopictaA0QEAmLKqXy1NTVIut0Hw3/LbVjlkACJRKJfc2b3+72Oc8uL0VGsMwBycj9NE7Campiao1GmKNc+J/wCFZbYVhZAzKuMfF6fjmm2g1qCLbjXNc1iPjQBRGmgNasspfLUxMEoaLwPhqC1rXjWtaCxbcmPrv2ez2+72exziYlg2lOTkfB8AeAgmFiYo1Go1EOek/wB+j4uSTqwsipVVWNGkB5YmK80seGjrrXjXVo01ZZSeNNUYYJGNGQa7wE1Aa1rSK0QBiY8sD401rj7/AHezv29gcQ5RLAtKcnI+N/RqCCamJijTFGudk/2n625ZVZWRUyqrFo/QIIKNXg4PDR10nALXVo1rLKQLRc23HbdZbLfJAADQt73vfjqxmIjy4I1p5lPnfZRlOUSwocnJwKPgfUJiamJiiUaiXOSf8Nfz6VmxMbJvmdVFjPqPAURuIiQNBCCIaiAmgeMspFpXDEw4g1exl777B/dFbQCCBa7FyZd+9gvUrftGgCIRhS9EOWtLWloABoYmpiiEajHNj/wrDpVaN42DTOMITltbBBhdcJUiaitBaCKCAC1llJ41cH46qSVZqwoPw8vG5+Hv4K7gMn48f+PHfj1/AncIdxN3H3Yt1dMuyWC7sCXPRZ169Q0RsjTlAMQnApwK0QuukAA0MTQxsQjTBzT/AIcqnVo3lOqqxaan+N9u4dE+14lTAj9R4A1lmyjSuL8dAFiLmP6lhZ6TSdjfgnGy0RQmpx0XYt+Efxl/DpOCycAfwB/AH8Dfwh3D38ZfhJKPRd+7JKuf/wDWDlf/AKdvIG5oZUXmzIR+sMa1jA1jYxGmDl6P/CmdYNk3FMqqxXhycid77ROuSS5mTkTeRjkUWba9a1po1rLKVa1eX45EQLDHvuunpDSz1ljG9LIY5a69enr9fq9JrOpmgcc7Fvwr+Nv4c/gUv4+n/HP/AM8l/Hz+Ev4o/APx5b7xdbko8zHyNnLWc1ZzeLmsPMK/KKN/l6d/wplObKuqY1Fi/DySSr3Ibf5Itc4kyElr5IsfKFmDJUOb1uVQ8jicG61llJ5vr8dtiHUxGn8A0HU/h/EdB617Y7Dj6vV6Pj/G+N8f0en19fOunq9PpfSsYqHCPo/rH439dFjRh/8Azj+JO4OPx3J+NZPxnL+OX8Cfw+Tjpbw6XlpP339j/nvzv6WHTvsvyE0jqixa28lZznGR5MyoA96AcGsKPgSw2cdjamcw/IDGVlhL5yFf8esiQ+syneJoZLVqLJS5EZJs/wAgShnp9Pp9fTr1119fp9Hxvi/F+N8f0+vqt9trr6zAyn8A0GVhXhqxxc7bwtvK0f8AhWrktqzPkLDlUWLRWUyub5cazIXyuk7bJXZEdNNNjKsfj72KzDhlo5wUFyCn+PmRgDXXWpXsmMrZHEROqHFnHOwv6aOgK/Vkstlt+K3+wF2Iej4/x/j+j0+rprSlJkkT09xrfGEXxvR6uqJmdzp3A28pJ/z1/kP9LLZ1aMicKYxjZHcgvyAtc55143vYO10LetV3u47fpzZmKdOQHJ5uACIAa8zNbFJWax1cNc2MOk7fMjmdcbd9osbXxfgRM351rXXr09Xp9DobRjjdB8WHEVqrXULCY2K7JPzQ/jwckJ+p/wAj/HO+Z1gyxuFJuNZzjLhTpzi8gk/TS0g7s09NcWt1W5THWo3ALkNvgro7AtC38sWvkPjkZInqV8bmSRyfJMsUjS6uyoWNpgLXnfb2ewS+32ezv23tZvHYPHToWIl16enp0NXIx8td+Oo8+fGvG/8APWvprS1r66mlmfKZE4UWtu8kzkTL8kkoJk2F221bKatAhzEwTvq3OIcmx0OcgeCss/hIYgta1qBhj9coOVZl/mi2DI2vUdAyI1ooiFXk6ev1en0+n1evp1668SFtsZBkrpxbEzHofR6zB5Cfx6zMO/h39t78b+sk0ksj3uBpOzWVp05pJ5k53g+S4Ipv0BjkBKrzcY5dm5JWluVXDBH9oPL06q7E/pThY8I7EVK/T1en0+r1iMLv39ns79trWunr9Zh9BqCCSqcWKVSDWta6vGdWYd+Phkf89fya8Plkke7YWTsZunnlNO4hH6AEhD7aaniVRHjuTtWpWvGWdxARofWHzIwUHUPh/Ha33G83JfsRlG3RdbYEvYLXT1+r1er19Nb7+z2ezv23414Hl45CrzuDNvH+vfjfl9d9d1cwCO9Yytbld2VH66/xCCKjj5Rxqm+nHI2RZE8TEaH1i8yj1Pey0LwyYv8AzhM5Cv8AD/Vfqv1jKr4vkDKnN4/IfbWupj9Xq9XTrYnF4ZBt8XPkul5I+V3Dm2/trrrwfG/A+u/A/wA31X1DSdRvsifl8jZTh42gN/4sQDjXbIy5S4aMrUmV9cWEf2j8zObdbkPnC6JAz4fwJcV+mGPEEzxdqSBa6Orsh/3veNa69HM5GXLi7bZ+vFeA5zi80S2tfQfxbXVzecz4tZLHXhJ4JQ/zCDR4qLAT/lrAcHn/ACBj5W3lxkRofWPzI4We/T4Yx5x7aDapi7i4cj+z/Yw3f5LvgedOHLXAYQTHflq49W/Icr3GRs1WE0TSdWLNddI/7tkDw9zvyNYxb8y9znu8jwfJ+zR1JYqo4rDzmDgU+arSOurjgj+oTPL2Oofrjj/giq9NnFz9icmzIRzGq6jHR/ktlD6Ec5c0UlMfpj4qcWaw9viNjismDq02WgjDarENqjDS4l8PTpr/ADa9rtuP5AfRZzR8zv8AcNL9xmi7itb8l5XAXOOq7WuLj4j+oTfN2SvkG5MZRmVGRFpsy9JpnGw0f57KCCCHjX5FLVKT9eKxRtyL2u9bsd+odg38Tl4pcwFqgWmSPLM5KzLthdgJcHLF/i0tcCTz8YChyJ19h/yCHgILfgKO1j+XRc/YzAZPnVOwsCI/q1NC1YkbZEvT45xwxzMZJUjhieP6Z/oEEB+UHRrJJx+nAIZG5JjUDG+OZpjf0lpXMBZ4he4ba4y/BSUiu0OQfkXf4tLEPHOFUq8fOXic1O/x2EFve0T4B4tjqFv8kGRYIM+rEPM5afQaf6z4DabY3vFp0/7RmVGQbcE4f/HKUEEAE0fld0Izhf8AQL8XVr7MqgAtxyCSOwy+LRkc+R0kEmIscVt8OscOPHZKrlr7hNQRPLpA/wDGk1uKy0In/IeR4J8NWOymDs8/o6wajQ+kf0nj+E6h8N0Xc2473zf2AsIVf1wxTsWKcsccj7n7NuVGRbeFn27/AMCpEPAQTUxflp9VcpT0Fvx+IYs9avSa0I+hj679rW6fKyUeAi4V828/4hBBazU64zl4jk4t/wCY8hOPliY7hdHP1mDCBnk+I/paiFdxbMb7ck2422Hit8P9Y/GCr0Ezbgyn7QZD3er4P6t2KfjfjyFt2PKtyIyf7FttFO8BBBNTB+XHY9vLS5D6fiiDkL3poAjrit6XRmExMXUjoG6cdzS2yf8AF6flv/Tjmt5dGDj/ACjPTf6jy7602cfNOzXGEDEPpF4Pi043Re/Y/JLgz4XwGY80PQXfL/ZtyZvCx6/g/rDjP17oe9d3gt9JrOxz8NFiQH+QgAmKJflp2LXME4a8/jKblFjWmMZFpaMTqvoc739epR8cjnkO/wDCe+ZS/wAb327fy0zja+Ip0lhUz6w+Pd7nSb6fE+E/H/rvhCGN4tjI/tWZF0wL6/6x2M/XvqsLLEbv8NeJFpBBBNUR/K0mGbyK27EPxbqDqvp4pacuvWECwJe+wU5ORjDSHDqRzqeb/LaYSdSw6/hP2qniAvvxgwyZ9YEUYPjWk+SKX5Hy2XPlx3RcbL26mqKE2O/TyY30sfDaORblhf8AnC2Jdo/eZABAAABF/wCTpaT5LQsGcyFSN4ggdagEqL2OEwsslJK1oorTl+RJZz/Tr7n6hVjx/MZOvhhh0z611tFWGGq2q+u2o+J7YWbgtmw217xIJA/2CTvvqazqUuM/TDGGu+X9gzJ/uo8k22JlOh4CCHid35HdjoJsf8VzC4zTTcEjjGtRp4dH0DdNcJt+CHDTx+QZ3LX9AOiPoEftAuCv/JdrBDEJn1reN7l++vU2F0Hwn0jXZFHIbBvtyLLvu93ft39gl9hJY6j+tGNbj2iwmeAh4Ksn8hSYCIR+g0Th5OP53D8AgY3XVsYGujItFjq/x2BEO8PPNJm4p+HdjTSNYw9OvXX8LSi3yE4fWuvxrW5rksA3EpqH0q+D4cPV6/X014CBHnasyiReuON79xwD/Dff2CSymoLXgq6edv4+Q5r/AGCTty+fgkDQQB0s3osmzIjItttf9CnAqU5qaOb5Hu7dDWdQdi3Yl2K/ijd6i1BAFn1hXDp7Y40sWm/Wp9LUcr47bciciMi2z7Qgz1ev19dXIAxR2CnIJtyO98oXPd339rKb9SsgeZnBnfcO9ns5dNxWuAQwPdaFGJlGxUks03yzw5SCVFEOFt9WN+Kcz3CcWPlC0LPyPfr+EKpLeroNaz1uq+v0w046UGPjN48VGMTUPJVTyVNOLvyxJ0NYU3Y/4jYZJmX/ANqMqzJtsb9Hw3VPhPpHHurMjZHJLJM6b3w2fmNKCtJqH0JyjuUHDort27OfyB2Fi0UxWH+6CSxXiYEX3KlTF0x4cnDPS/juEQOxkvG5+Ezfj2f8eTcGl4u/EOi/jjdTidGxscccPBMB+QqlOpwTH36lkE3VxEY4NQ+lRb8ST9nRioaZoMrbdaZfbkPk9n1xjmUHY5tZhFz9gcpHkflB/R1R1B2ONGCv08BXEPqVlznXYcOJQRMjphSYimK2/wCXi2WKs0KbZsV3xNatac3m8v45iZIJfcJRL7fb2dC/Go/xBYKxmarGNVZn4+h59b4nhbyvC2Sbh4YKICC2iqi3sm0U5QF7PZ8z9gLwtL4/69+N+FHH8mC5vqYn0/1z8X+u+I00p9+OvT1iO6R9XLMnIuw4J8bcsHHE0+ALTTfoVXw3bLbMUdmrFGPIUi/JMvAmNlbMJhN7/f7/AH+/3IorX8GPdmmhqqM4Ys/g8Pjmq8LqJurgwqhvje1UW97kse0wx1966ej4jsd+v+C+AyMvNyIyDb7Lgl7b343vzvxtXUPqVmzK7Eoo+ZH8GhTiE0WWsxtamWXZu1Wq+Oi7yFMfyZY4iGyCT3e8S+73CX2+0+Atk/701kk4xrHR8Xho5CzejfdN4FXzwN8MjX78FVVvakhdRfT+L6i83BebkY7jZxIHLoYTUOOGNFKaFkhyDcsM03JsuCTe97W1dIQ+hWfcw4dP+l1344j7uIILmmu2ZluynxVKjDjZB9JV+RJsIGy+32+zv7RMJPZ7e+y7f8FIXQRE3BwT3rfNjy+jzR+atlyyKq2ovyFB+RYOfwczi5I3NwZtuZbkBZfE6AL2i4b0ZMJpfC+H8YL5Ed/9iMg2+J/Z22W/HdjzjP1TaT2ts/toss3KNug3CCD5J5O+usSCneNZk8a5JQ5nFfYTKJu3aSJ+P6VLMUuNA+k65hJWXbu2Tv7BJ7PZ7Paf5KDciusEfG4fyxbc976slCeQPViF+NOPdRNUwmNk0Odi5jFz6L8iQfkSDntflsXIG5xuSivCyH7869ZrOpux3wjVcxkwyEeT/Ytutm7bRi+N8D9axW/A+hXMH1Fik7wVLPlrzwDXy2M51S5xXvtQcZA4JzJMZiYPIFgZF4Pf2ezuH9/Z7e4k/kxguN9VVnFav5VyKIrLHgp4eC1adH6fiGgca7FnGmgafxzGyeLOs5fHzqDn9f8AIVfntfmMXKI+SR5xmQbPv6aMPxZMecaMc6IPZfOTgsb7B1g7HjaK53JVNGWTPQ5mzmJ74cWmAxhAwWqXLqH5CqclinDw4IeQmq47Grtve9hE9uwf3/kwzKtS1jqcfDoOX5ABxqrHp6kc5b3t7thwdvxr1mB1N1B2MdizjTQNT09I7EWeh5lDzaHnsX5Br87g5dHyaPkDMq20HrWiiuphjZsEGcj6lfkWSoKseSgDnSlzJuzSUYjD1Dmj4UGRo/kPHc6r3d721Bcin4+zewdg9/Z23sHpr+EKvcoctbmqkMBsMTzUWOUjXB3hyKeQQ9r+wXft232CC0G+swmmcccS7Cy4h8ouPn7sliyUXJ4eb1/yFW/I9b8hV+aR8pbyNuXbbbJvfiRDwPJX5PfTimvzTF3gBdo53TB4k9ZgisNyDVJiWV6nOKH5IqZtsgdz2zgRvtvsD4337diiP4WCR7DTdxqXlcshcnKmqAepA9FOLnOcE1kFWPEy497N9+wIKBQIIKC09mWrE732BrxM41cw7azq3SOaHOw81g/IkH5KrfkipzaDPszHzRKEBrTjzKpkGW08hzTp6KCcig5srbIeSHAMtNyInlpfrK3Isf8Ak/m3KcINg72Xdt72PJR/kinoZfkfKpWFFUxj2yCVPc4vc54NSCGhQxD6liC7TfCYgzr1QIPgeQQclVnZ42DVkwN7PrBV30ZcNLx6XjcnHX4d9A1zEx0Gfi51B+TK/wCUqf5Oqc8ZmMzyq9mrD5k5vrDWnenBNRXVe33tkic8vZ0Ezb3zXmSliRtdtkrtsEu7fxD6xnGzXeJ2IBFRqU4J1IS57pZC9pxqx0HuF21HYV17LQlCdK6c2PktnErPPsa9zctWP0ifhr2YtYBqc140Wet0D6kmNfh5MHJgX4mSrjeP4fg+TqXYtmaeN0OvZ304FbTWlEogpsjLMuQs2ff8gkqJVYtn6F299toO7fyhU7/CslzGlhaEdOFtoylzpXvduM4x2NbebVZcns5C5Ou/tJ8aQe2wy4bvyGWI5sjDMz6QSi3gmJyPguJc4ku7F5khjx/EYKb05TVrfGLfGZKEhcnROiK321piLiH+NlaPgPZESFiwATs/XZW9/Tf8YWIyfJs/juRS57A5qyZi58jnHsx1O5S5Na5Qc3Pk2mQBNjDOnUs6a1ra3tkrp70Rb5YaSxgTvBLk5FFOcXrG8apYtxc5zy8uc8qzjb3GbWFmr6LltoEi0VsHXXYUcYjcWR6xrgSiiSt7W/GzXcz+jfivYiuzOfI97nl3f2MfiMP/AOePH/0T8N+nkxwquhdGWdOvU/QAIunRjdH6/X1ry4nMsynzfaXElOT0RQw+N46nPc9xJe8yMiIIeyavcxNvA2cW+JoJ6lhcHbI0W9WVifUBpUy1xWyd78AramUiP9lO5JM9FEdS3rVZj8kzIiyHdSww/FNF2KdhX4B2AkwL8M/HGr6PUWkPb09ToXhx7VZRabebk2ZdmZblxkfmYPCRtfI6QvLnF8oiazRRTk8Pa9k1Szi5sPPSdHsuLdNamQhghZGRrxA6N3fsiVvaB3uZSI/2MOElu0C0gojQc+USsvsz0fKYuYxcyi5fFyRmVZcEjT1MTq/69+HkwEvHZsBLh30ZhLMSQGsXb2ez3e4WDOLGJ5rQ5zHbL/Y+VMhA0tpwe17XNeJBInQTY6bEmsU1QsZB2q44RXIC1zSE1QuWyd+N7QRT3SI/2xS4rL36RZ1I0R16ddaI0g5s7b8edi5XDzWHnEPMYeSR5Jsq6PgfRsYGfhk/CpuLSYl0HTrrxopiE3trZfH88pZtjAgh4IIKcHJ6eJnPRaWua5ksM9AY9zgImttMvWJAix8WgK5JLtl1dl+i5bB3297pP7oZcXduVywsLOvTr1LDH16669ddeoBboEWIs1ByuDnEPN4eUxZNsnX1vqy4ebi03Dp+Jy4U1vW5r3F29tfFd4dySGW5Ayfs47Rc5SKV5YY3xuY4ODnSySzti0tmFjwt6kgLax3vsZMacvTmC3vt/wAGpPHM6D0eo13wuJn+R7+/bxrr1661pHxsu7d2Wos5By+vzqDmUObZMEIvjSYexxC1wXL4t0Xr6desbqmZmz2FAxErOxdt7iz1mNzXiQyPlfPexHH7HHJce6Io+QgQQ2SCNvYqaeS3gMrazlkrfbf/AAWnFX2Mixj6tqxavSTl/bt39nt9wmEwnE3s77WupGteB9BNDlq3LavO6vNYM+y1Yny9vp0Mfr9fq6NNDlVDk8v5Dr82q3i/WiCHCQyy3shavRLjQkZYx1zC2cW+uWoFBzHBTt3u1G8RvhMUsgDgf+G11TJT8juZ2S0Xf473279/Z7BJ7N7860G9enXr102aHMTcn9gd27DwQfPYSOUFihzKjyYSpye61ZvZmSUMoQ1sw3kceebkyJ8VZwk2MdD1TCw2UZg8q3EqyknkuxShVYP+EFsSH+Ha3vfbt279+/cOWuuuvXqYwwDr0Efq9ZbrXXr06dWMqZGnzE8hucms2+ugfb8n5AtxZKpma+YgnNKfAWcDNjfQFMp02WKe2QqdjKt9laTvSy//AAgiGGQfzMYzFPomPrvsHiX3e3vsohAIO7BFdPVQw7OGu42cIcW/HuqOgfC+oyv01pEddE9myR2quVo56tlGqbF2cBPhJqd2MoSOe5MebCjc6avH/wANv9LH1M7HyR2SljfQdjXVSzx27CQSezv2Wu3dszZeAZaXFXKUrHse1ye0sdH63ResxmP1mMs9ZjLUHRz18pT5DV5DBkGx2MRyAOJLXHwHEV4J6VW1/wAMEhEfz77+wWG3WZMX9upux7qxAIO+3cSdtrcUlDO4z8lsr5DByxFrhrRDlrRb1ILepY5pjLNAtkis1MxR5FJyPITud43tMkhtvtvf/wARh6U+MZXD/wBm+wmbaF/5mzA+PuJe60th7ZRNBYxH5Er5q/xeaAsPlx8Fa8EFvXqY/X6gzbJ7dyR/+Hbf/Fqu4nWv054f+Dvt287EzZwfV69Ah+8Vymrzabi1ygfBR8bJ3sjXXx27ukdO+1JKT/z2Ow2QoZjl+DI/5OxLFa43W5DgJFvuHUslj/yKMdkcASij9O7pXWX3XXTaMpci7f8A0NY+XG2nRZujp0IaRrX/ABQoTPkT52HB8cmK53luRG9835ZtuvuvutGVdevk/wDTjVENGAy/Oa1GtdbRxc6ggcz4jWSRBr2a/t0yuyH6b3vfYPe4+N+dBDw5yJ7Qxmsa0zf+fC5gemy5GcvYrSpVctkcbUz7+P4DLLH0LTKtVzXVtPh05n+2vvDSZAAQUUT9d7/x32RcSqsmntsf9ALFxtw+WoYOerxQYezxSx+NM7xmhLI72RNvZGrVzV3HUuQ0cXjMrHSiuwVqjwK2vX9t7398TQyVN8/yPaSt/wC+/BPlhhkcpg4f8+ocBdyFbE4WE9pIO7JcvxbK/jzISVn3LuGGSt4d9gYiaaaneJfiyrlAK5CqtB3Fp2/6UbuZ5g9++3f2ezv23/lva39QoPD2lhi9fr6ddaDWx/8AGpnjeGbj4owRMEX9fa2S9jLP42t/jObglbhuT5Pq2oW5SpSGZGPdkclG+3bwHD5r+TzX+2/vve977b3ve9+N/ev4I1rp6/V6/SIBE6P+gf7RP4bciXrfC9RoSa30UT+tzjT8bezGP5DdwuN/HnycVm87ksRiJvx1LwjBcRz/ADmST/mMjYtn661oD/kNPEsi1Nm8StDtF8buoiY1jZJLmW5ZxZzY7VTl1f8AJ45rPn4eM3eeZrM+vroR0uM3MU6PX/EDWsAH+g/47GcVwAYWkCba9QZ6gGoyWc3Ld7E8m486NsdZ75bNSli24Q5yzjL+MoYm7x6bl8eWtUZ4da/4IYAgh9d+d/8AGDW121a9fDFsvbZb1ZIE0ImxmLF7u1wM1rKZ2w5qqQOoUcUZb1h76d7/ANB/6jK5a0qr4aWQa5hH94aGgIID7j6b/wCCGNgZWEXiJ1Oxgbxah4CCD7OZsZL2AguluZq7m3yJjMFQrYu3lLl5z9BOlE8ruuOhmyBvWKT4iwt1/hr+HQbryP8AmaEbWNY0Bb8A15sbdaWjwTazNjJmXuHe2zl7eclmK1WqYjB97d67bRJDpNhNAcZXSe0T48yYmbDWscta1oNf/GB4Hkf81qCC2Ct77bY+vLxjIlOdaz9nJe0PDzNLlLOYln34o4qCtCnmyJlInJ0ngLajhhwz8HNhcXRLr1+3d+gRRP8AGCPqP8h9B/c1BNQTUUfB8BRHByzm9Z3seNvkml+gOMtxFqe22JHTGQ+NNADmsFuzWl1q4bEiCd5Di7+QIfUeQh4CCHg+Qgv/xABMEAABAwICBgYGBgkEAQMDBQABAAIDBBEhMQUQEiBBURMiMkJhcQYjJDBSgRRAUHKRsSUzQ2Jjc4KhwRVEktFTBzRgFiZUdIOisuH/2gAIAQEAAz8B9nKzT+ke0J5kN9RDwpC1uIyUnwhP/wDGj/4k34FET2SFBaygvgvZXL2l/nqw1+HuMF7M5dc6hrwWPuTu4LHVgsd0Ie6yWAWG4FiFghrHuLaOd90/XRvNjpSTyWBUfWNsVYnUNrFQBgN1B8Sifk5NWPaXin81sq9M9e1P+8sN7DcOrBezOXXdu9VY7+Goe4wWO94IIahqGvFZe4v7w/6c77p+w/WsgBzz1XQF1incFOY/1ala4jYK2MwUxwV1hr9nevapPvb+W/7M5dd271Vj9RwXW3cFjqKciijrxWWorD3mCx3P0e77qw+woZKl85L78MVms11jqZcYqHobXCa45oc1bimJls03mhbNezvXtEnnuDcw3vZnLru3cFj7rDfwXWWOsc0LoaghvYrJYD3mO/agPl9hnoSsTqu4rAp8ctgeKmYOKk4kogdoojvqR0gaHqWWEOunp1kTTOXrpPPVgd7BY67LBeyu8l13buC6yw3hqvqG7isF1two6sV4I31DcxWS6usbuKw1HfyXsh+w9qMhYu89WCzTnzm3NSlt9lVXSWDVUbGLVKO6pRVMw4r2Rmv1Dl61/nqw957M7yXXO7gsd8e6wXW3DuDimq2oa+ssl1Vjun3GO77N9ZPuh0F11neerBYJjn3KhBAZZQu2fVgqOZhOVuCbzCayRpsrQN1+ocvXP89WG9hvezHyXXd572PuxvYKz906inEpyNt3rK5ahsBY743sd31Xz+w/Z1idXVWCfBGWt4qS4dc3U0TLtebg3QED3SDGypzMeqoqhrLL1DdfqXK1Q7z1Yb9juBezHyXXd57uCxR3CiiinIoo676rhWfqGobhWG91le2C6nuBdDXjv9Vv3vsP2VYnz1dRYI1EqY6PxXip2xbLSqv4VUwmMbKLaZgKy1epcvaX/e1WWG7gsd32Z3kvWP8APey+o4LrqyCCCCaEOaG/1lgF1Vjqt7nLeC6zfvfYfqF13eZ1DY1AyhN6MYJnJRHuqLkoNq9kGga/VFe0PHisV1feezOXrHee9isFb32KwXW3inJycnI7nWC9WDZFY7p95ivXM+9uDdH1pn0c4rru89XVWC9YF6sLBYa8dfUcva3+erBY7lt/2Yr1j/P3Gax97ijsldcLHWNm6DQmpiamoc0EDr6y9m3sddvdZL2lnmfsN/QkLE6urq64XUHuOq5e3SeayWSx1Y7mO77K5esf56w3NR81HzTD3lHbMIG++NY1X1YoBhwXW3LMO6deKw1dZq9kHksPc4a7rHVlue2M+f2GCwrE6urq9YF6se46rl7bJ5rJZLrIbO5hveylesf56zsqWSQNY0uJ4BaYZnRy/gtItzppf+JVS3Njx8k45piGu6CGrFFHcZ0aG3qCCuPcYrq6uuF7KENzHdO5jqy3PbR8/sM2Kz1YavWherGq29g5e3yfLX1l1deO/wCzO8l612vqqB9TO97bltgEHTDq5Ju3gEx5xY38FTOf+ojP9K0e51vokJ/pWi//AMKNaKLb/Rrf1FaLPdkH9Sox+2lCj4Vjv+KqO7Vg+bVpPhPEVpscIz/UtPsH/tr+RC063OikWlGZ0kv/ABKqm9qJ4/pKeDiCnsyKc/M7rSENRRR1Y6iuuEOgCzWG6fdnBYHyR/1H7EzWaw1esC6g9x1XL22RdXVisPdeyu8l6x+rBdRWiqD/ABApLnBOviEBwTXHJMTCmkWTAUXi+0nfEnhtlNfIJ+zYMT74sKAHZKjLcbqEqldmxh82rRzs6aE/0haKd/s4lok/7X8HFaN+CQf1Kk4SzBDu1T/mxVIyqWnzaVpMZPjP4rTLf2bT5OWm2/7Rx8lpVudJJ/xVYw4wSD+kqQZtP4avFFEG6qYG2AuFP/41zYoT3FSFUJ7yoT+0VIf2gUByeEx3eC8dRR5b3Vd5L9KfJY/YWJx14HV6wLqDfKOIUMdW7pJGsv8AEQFoiJvWrYvxWgyf/eN/ArQIcb1rfwK0Ja7ayMrRExDRUsB8SmOHVcD5Yo7/ALM7yXrXa+oUPojz/FTSEyyj6O5ChAvZQlRc0zmmk5puzbaVz2lJzUqlviE22SAaeqrk4IJqaghz1FeCHwhM/wDGFD/41B8Cg5FQlQO4N+YVG7OCE/0haOd/tIfwWjXf7UfJxWjdrKRv9Sp24iokCeT1a3/+K0i09WpYfkVppt7dG75rTzf9tfyIWm2Z0Un4LSDM6aUf0lTtOLXhSDvuCqBlM5Vw/blaQb+2uq5viqlv7NPwvAob9aErR/Ftloc/tLLQxt69qoapjuima42X6Xf9hi+vq/JYr1oXqxqw3NC0Q9bWR3+EdY/2UIuKalJ8XLT04c1rxE0/CqlxJMmPOyq8fWk3U3xFP5pxQ5KqheHRTuafNVceE7A/xGCo5Yb22udsx5rREpAMuw7k4KKRt2PDhzCtr9md5L1jvPVguoV7D/8Au6wRZRngo01Ad5Otg5S81PzVSFVqoCnJyW1mmckxNTdRT09SKRPTuSPJDkm8kxMTUOaY83JQmbbbRifcSJ5fdSbRujsdkXTbYxpvSu2ozZUTyep/ZaMeTeCM+bAtCPBvRw/8V6PvjJNK0eRIWgZm7TBIPJ60cezUTD+6sepXO+bFpEdipYfkQtPjs9G75r0hF/ZNryIWm2X2tHy/gi12yQWkZhTM0s3ZebWxCJ0u+6x+wrIWWaAarhesC6g181o6g2o4fXyjgD1R5laa0g49JOWsPcbgFg0v48OKiYRhYJhvbVnqw3HJzbbLrHmtMaUD5I6R72tBLpey0W5nJVdPhtnab2HjPyPMKn0myLBrXbAtbmMx5og+er2V3kvWv1yCnL9k25r9HR/zTv4qYAbIVXj1VOX2LU6K3VW2bbCiY4CypVA4XuqX4lAe8mOyOopycnJyK8EOSZyUfJRqNN5rxTk9SJ6fyTkdQ5JnJR8lGoiLKFgOyLKO9wVyepGjO6kG1gMVUsfJtNBByVmu241CPSB+w3Z9W0nzV9Kn7qH+rzfYZAGK6qFii99gsF60L1Y1UWjqd0tRJst/ufALSmlC6KBphg5DM+ZTAe0rFbN7fiid8airFV1WxjJah7mMFmMvZjfJowCyCnpnHZOBIPzCg0jo+J929KOq4cvLUegf5L1r9VlSReh1Q+w2jFGB8yF+i4f5jt8NN7Jr1GCmZhQuzAUAyaqV2bVRnuqLZsCoT3ygMnqWMdu6rOar28Cq3i0qqb3FPxjKuMWqC5wVMVHILhBDUUUU5OTkV4JwODUAR1FE0DqqAW8VTNkDb4lR3ttJu1baTS4gOxT+CkUnJP5J3JFerf5K/pBL9xiLtIS+DQr6Vn897H66CV4o2zR6TUelC9WE1jS45AXJOSi0zpDpdktpacFrf4hJzARN2MZst5JgOCsjfKyO+ENRvqo2WMrHyH4AdkfioJZWkxsia3usH/eaqmVXRxZOzHgmyQNnsbZPHBAUEcm1+ta4r1j/AD139F3t/l/mF+jKb7x32ONimsW0b3Wy2yk273RDFUbWAT9nFSh+CIZdOui4XQYbFMcsFGSmfCFEe6qQ9wKjPdUcbbBBDeCHJNTUE1XGKgiZtSYWVHVkPbjZN2gUzpdtFla+XpDZ3C6njmedu4OSqxPI03twVSZJGSDyR6M9XFNLLlqikqpIjH2VFIyduyQWr9P1Xkz8lerqfILa0tUfe+xQsTq9YF6sJzSKFu01pbtTu5jg0f5Uk5wGzGMmjmrjZb3cygETq8d/HUQghfJNdhkntdYptPpJkgj2n8L5C66KfosHMNibfvJ/RyBgwddwA4LZqJQeB17Wi9i+ZaiNGUvz/NOR1NTExF773wTjknbIATwwc1M2MYYp4gG1miWuJW01x5Jm0RbJRhl1Tyg2AwTLKF4uoWm4KBbZbL77W8UUU5HWEE1BBDVJVxENcnUkezfBPt1VV7VjGrjEIJvJMve2uMP2w0X5prKaUgcFtaervvD8ld9W7yQOkp/vlZo/YmOr1gUNFSCR2JJsxvxFS19Y921cXw5fJdHA0uPX/K6DWhjcuKF1xV94DfFu0tqwdmBgU+GRr25hMqagQSxRh7f1Vzn4XVRPTyvk2cG2RFfUAZMdYnxJ13gt4r9GUf3d0avV6y1pKa1zg4ZKncqbYzwVNa1xZUjsiFA6PZ2lFHHZnHiurYFbMezdT3vtKcOxQ2U4NJT3vsQmpqCGoooooo7jg3BScljZFzbrYUR4pnNA79qORB2ndIH+KVanrXeP+Fevn++frJ9/Z4TquV1RtuEbQWQt/d4u/qRPrpB1RktuQuvZoRcSrnex3MVhu90oscnMe17XEEG4K+n6AsNn6SwgSjn+95J0+kpgzBhkJHC/jqwR6P5q2jaL7m9kvVjW3ZxWj5Sbqh4FQllukQthJwUzf2i0i6a+3hdGOEB2aCGspycOCeEdQQQQQQQQQTU1BBRnuhWyW3mm3zKcO8nMJud+1G5bWlq4/wAZ/wCa/RtafH/CvVT/AHj9i3V9RayOBrrOqHhl+QOa2Xsi2NiKBox57WQX0GgghuQ6VjZHjkOAR6IDn7m++Viustq3krOUtBXMlblk8fE05hR/R3hjBeV1wczs/wCNd2geK/R9F/KG9iF6saw5uabfB6kPfVQBmquyrGniqsHIqdp7Kkvi1AZhRXURCg+JQnvKP4gm80EEE1NQXinc0/mpE/knckdQQQQ917L81tVtUecj/wA1s6EqXeJXtM33jqw+wXJycnIhCTTjLnqxva3++Kpn6XpHuJdEyLp7Hi92DG/Ky+k6UkI4AD6mLLaLQmU2iKDSEORtFMPHg7V02jtofs8/JYLBdZew0f8AJbvYr1Y1uLcFVNdxVWOBVQMwpfhR2rWTL4hU+1i1UhOQVDxAWj3HAqmt2lET+sRthIqkZSKtAzWkmtwBWlWZsKrxnGVK1pJYvpPD3LU1NQXinc09SxuUnJeCYolEeKjPFN+jZoGeU83O/NW9GpnfeXr5fvH6iPf46ggvBC+SHJNp6WeQjBjC78ETMHOvcuubZoR6QjDgWtjpmHYy6xjGHyT3OLnHG/vcN4WyXYPIqnrfRylou1bo9o+JwU2jNLT0kucb7eY4FRvfsPHVfgfmn0lbUU7s4328xwQXWXsdL/JbvYhdQay1qkGYXMKM91U57qo+QVEVRuNwVBwetvKRVDcpVX/Eq9pVe3JpVc0YtKe+O7hbWz4QoHZsCjZ2W2+odfWEEF4rZpTj3XfkrlbPomT+6VeaTzOo68E7SlD9Iml6Nruyo9HTmPpsV0ZzG8Pe4e4B1BNQh0HNbORzWfjifyTPp8G0LgOBtz8FWVnpDLtAvGJDjhg1tymtmeBjYqw8ffYasViVdZYK7o2bV8WL2LR2lo2/wZj/AHaUHBhvxsUQKGuAwkb0T/NuI/ssF61ezU/8lu91l1Br2Qqc5tVG4ZKjIVKcioj31yepm95VQ4qvB4qtbbAqpHAqUW6qyu1RcWqJ+X1X1u/s0Uv8p/5areh4+4V13+e7iAhT6AjbbsxNH9kXacIt2WDHzR5lO5p6MwwapBwUvJSDulEfWDs0UPMvf/hBtfAeTwpqej0hVYA9BsD+s4q5Lr4rE7mHuctdm3vqxQ2AOKBqISb2OCFV6Fx09v1tz/xGCLK2aB3Ftx5tX+oehtUwDrxM6VvnHj+SGzmvXL1EP8pv5b3WXUGsOFioim2wcnWwcpwDZyrAVWtdgCq0HIqoBxCeOCAzCgObVTSOtshQHuBU7u6oWZD6r67f2dHVH8h6OyjH6HM/loF7vPd6Sup2fFI0f3VtFWUdRpGoc5l8lE4ktFlO3squYewVVwNv0ZRwDmqF/gmPuEWguDLgKnObLKleMJbHxUz/ANW9jvmtIMGNO4+WKew9ZpHmNRR94dy+lYByh/ynurIQ3PaFkz/6eu3tvIv4BosrNPvsNwLFM69+RUhijxJvbZCrKX0V0e+DB+LC74UYNMUcpd+0s7+rBB0BjOTrtPkcE6nqZ4TnFI9n/E2XtDfNeqZ/LbvdddUa5GMwVTbrNTuITbZKI2VPe11Ce8oT3govBQHgFA7uKn5WUcbrj6x63f2dG1X8grqALo/Q6Ifwlid3pvSCgH8S/wCC2dHN8kfpk/msFE7NippLYKPLZCpXYGIKnLTZpHktnsPK0gxptZwKq4XEOhKI4JzTgSFpGHsTu/NV37RkcnmFoaX9fo+3iwr0dnPVqpIfvC6D/wBRWwS38bLSbP8Abl33cU+N2y5paeRw94dQ/wBZi/kN/MqhfIZ6uq6GONzbWF3OPIKKt9H6SSJ5dG6UtaXHE2wWzO9trbJt9TsjGRZadotkU9V0eN+yD+ap9IaK+jaVmjc/GzwzngQ7gvbAyIg+ssw/PBBjWM2XGTC9xgDxQpfSCqxuZWMlcf3n5q9SzzXqx9wb3XWA17LclGc41SOuNhUJbkqA5FU7nXEiB7MinDr7arbYLSXScVsMaHHH6167f2dHVX8v/KyWz6KQfy11ju9J6QxH4WkrZpbeC9Y883HXZwTSM01Nsozm1U7uFlDLxWHZDket1CFPG/Byr2nsXVRGTtRkKxRHFVsXYnePmqisg2J+sW9l3H3eGuN2l2n4YWD/ACnVUVTslregidKSTmBYWCpqn0caJL9HTm0mGHWN7rbrZ3hmwJHlzW8m8FYn3+OvDcdXadoohlthzvJuJWiKaqZA+spxOco9sbWKJ0/fnSR/mVerj+8F6v5De66w1sA6wVI4Kl+JQEYPTeD08DByqmnNVYKrGuyKqwBcFSlwJWzm1RHgoFAe8oviCbz+qetO/wCw1H9A/urvZ5rY9G4h/DCxO6ZNKyO5bIWzStCy12Cb4hcnqZqxsQozxTTx1wP7UYKoZO5byVPIMJESTZjXJwBvE5vkpuke1pIs62IToOka7tNNve2Rdp6sHwuA/sFYnFNmmrqN/YliP4tQpnPfPA2UzROvh2OCAcUPqNzrxUujqR8dKdipnFny/AzkPHmtHipjpaXQsWkZ3n1s1Rc3PHZAtYeKkj/0yoLCGup+iPW29ktN9na+a9vj++F6s+Q3uuNxrxiU0ZPUnByqAM1Vi2aqxbNVLTkpDe4WOLVDexaqU5tCoJOCoOapjk5NB7amvcPVU0DFaQGV1pBuYKqWW6qcBi1NOYUKpz3lCe8FH8QTfdetO/7JL/MYryw/eCtoOIfuDe9fK/8AfC6NgC25NZIOKk4tumk4tsrZOU1+BR7zEHNwJClb3rqYd262jlbc5qnd2omlNNZUkZGZ3vSjLpatf8Uz/wA1ip9HaQhfGcOkaXePD/Kp6t1VN0W3EIH/APLgtiWQZ299jv2x5J2fNMo4Wut6yXFx/wAL6d6O1cXER7bPvMxX6UiH8Rq9Ud7r7j3DqqpCqhldVAspmnJG+LVGc2BUp7qpHKicb3VOcnpvB6n2rh6rG3VY1vFV4dkVOM2p18WpnFqpnZhUT+AVCeSpCob4ORvhIqm+D1XNIxuq9gyKrW9ppUpzYhxaob2VN8Sgdk7VgV6w7/qrfxwr1UI/eC/Q0f3RvPZRtkDe08q0e07Mq5WOoFiIyKkHBDixMws6yltgQVIMC3WOW5iujppXfCxx/BF3W5kn3TGNu5wb54LREeDqyL/lf8loBv8Aub+TSvR9velP9Cilq53sd1XSOI8iV4qxzUNKzo5nbLHWa63JUD6kilftRgdrmffY7/BB0rL5JvRxnkOOCpammkbFIyRoDmOLTfG2S/TEI/fYvVHe9YNx4GCmBAsncWpm1YtVM44tVFfJUjuKpviTb3D08d5Vd8Cq5pGarGgZqqAyUotdqbxaoOLVQu4BUDuSo3ZFRcHp1sJFUtGD1pFowWk2nEFPdH1hracwovgCh+AKlJ7Kgce0QmRuvtFWwXUK653+x/PP5L9IU4/fCI0ZGPAb0DNDQAEXF7prjEwHK99dypBa2SGq6jPBN4Gylbk5TNzbdN2rWtrw19DoOtd/DI/FdRvl7qpmdeSVzj4lFX+uWt5pmkaB9KZTFtt2docEyioiwP2tmIXNrfq2Ww/BbWm4PGRi9SfPe9YNTbpiaoDwCgPBUxN1DzQdk5PGTlU81WA8VVDnZVIupA3FqAGLFA/uqjzICoHHgqN/FQHJ6xwkU4yetIAmy0k12IKqri4RLRf3nUK6x37zU4/jP/JAaQhc7g5Mqomxg3TlIFKOCkHBOByTxVNY2Vw8AbJzjcuJPjr64TRgmnju4am8t7Y0DIPje0LH3TfFM8VB3w/5KG+G1ZQ/GfwVOGgsqNo8tgj6yEXub5oU+h66RzgNmnkt57KB07B/NavUfPe9YNQusc0WhOGyieKeH5o4YpytdNKbeyCYeCgdm0Kld3VTcEx4wKkBwcqzgVXxtzK0i3O6quLVKHEbKxxYoTmFT81TuyeFGe8EPc+rKxO9stKvWUg8ZCrStKvNmmpqjUR4BRC5W3pZx5bnWWBwTSMyFJwepG5hN4hNOR3hZYrBeyUcfxS3/BAu+yMVpqGfo6Gk6Vx8LrT1P6OaQq9J1G1LOGQRs+DbN3YDDIK+nabxlXs/z3vWDcDkwoDiiTdSB2KNsApcUeKLXOK2sLJozUR4qP4kPiXiijqamclF8IVMT2AoHcFC8YOsnDKRVLXYPVc0ixK0jG7IqsbmxSbN3MUfFqgeFCeKjPHV6orPe6jvJX0pTD9x35pz5W2Cn6XAKoHAqccCpBzTua6jleomcsNQ1OIwTrYtTORCcey5Ptiy6jBvYiyYeO7jqwV9I0cfwsJRuij9ZBVvenpA3m5bFHo+jB4Omd//AEav0/SffXsw3vWDcx3ghyTDmFGMgmOCF80895TNbgVUgKYPsU7aCc05JvwqJxUfNM+JD4kU5HUFGcwFCR2QqN3cVNwTBbrKRsgO1gFYL1R3/Uv8l+nYhyh/ygdl1lHyUJ7qp3d1UruAVMVDT0TpGr2eR/M7mSwz1NPBRg3tqBTDdSADZenbPWz3Sul9JJR8EYCLgD4KVTclKO6pPhTuSKKP1OyDgiD7x09dGB8QTdIacr5WO9WHdFF9yPq//wCr/wC4Kf7y9lG96wbgOsooo+5LJEHhXdkjyQAuiU4mymwN0dke4KKOr1W/7PJ5K/pE4comLqjeto/Z5lbOi2+O51QntqHDxT+kttJ33lB3sFTuykCByOob1rrptP17v4tvwQCCYoz+KhdmAqc8FTngoSU3gU76nYrpWYZjdw3sV/pno7pCtBtK/wBRB99+Z+QVo1f0gg+a9lbvesG5ISLKqa1VIzClvi1AWu1Q8lA5QfEFH8QTTx1FFORT3HsqdpyKcLFE2FslsoOFwERintCc44hDkor2TOabz9x6rf8AZZPJbXpLU+AZ+S2Wje2mws8VsaKg8tfWCtG7yUpe9wbdNcx5kuCjC0Ojk7fitIOL3bV2gqvhnj9U4scnPez1paccFUwQuk6QEBSuaOoD5ISxNeMjrw1bEbzyClrNISBgu+SVxC0rHnA5VTR1o3fgnDMavHUeaKBTfqlnBbJDxk7cwUpcNlpN+ATtstIsUVUTOtFG6Q8mi/5KpdMIxE4uPdtj+Cqum6MwODgcbi1k9tLFDtXbGDbzOZXql+n4v6l7M3e9ZuSMcLK+bVDxYqR3BUj+KpT3lHs9VyfftKcAYqrbzVU1oVSMwntPZUdrkKncoHcVTu4hQO5KL4U0hAZJ1sCplK0YNUuNwuuVsvsrkI7ODk4R5qYlO27bKuNWK9UsN72ORbXpNW/eA/ssdzx1bdfAzxC2aCEfu68VaJ/kqy7+XBRdG4kYqPYhs5P+izGN/EqYCHbjBwVK6tt0ZbZiZNE2NsvacApaaepkimc7YOLSiKaL7o1jV0Wjat/KJyEmnYycmse5UrhjGFo9+cQWipM4x+C0W/uhUpvsk/ipgepIVpNnZN/ktNM/ZXWlY86dyqWdqJw+X1SxRrKR8eZAJaPFdbLWCoZaiN74Q660aKp8n0aPNzQbY9VQSyxtLBbJU2j9H1VTsM2WNsCG2JLlTywvc+JjvvC6DZX2FtXUKvp9v3XL2Zm919yMOs4KlVIeKhOTlycpbHFTs4qqbbNVTbKW2LU0mzmKm4tVA5Ubx2lT2weELYOU/ByqmjNVreaqgcQpBa7UwDFqp3BU3xKB3eCiPJRO4BRHgmI8CnR5pt+zrxXUCw3vYnra9I9IfzisdWOsrptPwN/fWzTsHhrzVoJD4KrNTbY6vNMlZIXZ7Su+HZcqiGnkDDcXU3TQve3sNVM+sftN7gGIUEs1PsGx2j/ZVUcDtjESOAKsAPDcwXRaBq/EW/Fe1VMnKMD8SsN9p7oVO7OIKgfnCPquzUsyOIzTYq+YNyd1h8/LULLrsubAp7Igb9VrAul09LTB3VhOJ8SqvSGkIWMbduOKp4KSGiiyib1jzK9mej07/PV1Cr6e/ocvZ2b3W3D0moEo37SqQeKqmgZqobwTsLsURzYqQ8FRHFUzsnKPg5PtgVUAZqrZxKrG2UxIuELJvJRHuqndwUPBAjBykAwcqtt7FV7L5qocevrCCCGrqjf9jPmtvTVa7+O/81gsNzBdN6Tx+BVowNeCvTyeSfGWt6G9yg5hcMLlVAqGWdkFKyHrR5uCpn8bKCSec2ByCgFTG7bLQ1riVJ0tI0SbUbjtfhuYLBbOh2t+OVoWxS1b+bwPwCPPc5H3J+ouErbZraho344s2cb8FirlXe1bNC54bnG0fgqms9J62zLudUOuOdlTej2imxtt9KmF7gZN1eod5I9O/wA9Xqyr6cd9wq1Ozex3IhJZzVSFUxx2lEHAhyCCYeCiPBQphyK6lgVKBgVVBwsSqxo4qsacQnWxaoiMWKlJyUDsnJh7wQ3x7jLf9l+a2tIVB/iu/NdW+orDVaN3gCul9IJXclYIasF6h6pyxpLVssNn8VUiowx6qcGjbj7wVNI7FtkPWubJbrqqNS8HrtEePzW3WhuxsiKK347uCwoYv3nFdHolp+J7jrA3PFX1H6r6wLb0XSu2Rfat/ZC667BldWlbfmAmt0SSeBHzso36Sqq0hrIWvdsXze4ozyk7WF8P+tXqHL18nmsF6spo044HiwqMRN6yj+IIc9zHchc7EphcCHJ2zYFTAZqqBzKqgFUttgn7FyEy2IUTlGe8m80EFH8IUR4KEhRc1bJynDr3VaMiVpBhzKq28E+2LFHxaVTEZqB2T0w94e4xG/al+RV6h55vKvFrx1Wgk8l7VUyeOu51BzCDxUzOw5TxgB0d1EahxdduCbIG2IPWChc4jYRETtiS3WKq+mqLt2h1QumnqZLWxDfw3cFt6ZgZ8MX5ro9FUo/d/PUdRRVtQA1j6p6wYXxyRFBDj3lcrFB8zWcyFBo30aD5XAGzupkX7AxAX0h+A2WNPUHggFtSWUU0OeYV3O8SsF6sqelqWTROs9pWkQB0lO13kbKn/aU8o8jdaHdnLKzzatEPyrmfM2VM7s1Mbv6wmHkVAM1SniqY99Qnvhbbrhyl4FVAU4U3FqFsWKKUdlR8lEU0ZJw4qYcVUtVQ0Ka+IQHdUagPFRkYOTeYQQTDwUB7qpjwUVs0Rk5TtPaVY0YXVa1uKqmnFivmxQFU572Orr79qKTwjf8Akrv817OsPksdWa2aJyGi3uu24cVoyoAu8BUso6sgKF1ZNPHVgonZsCZ3HWWkIsuuEGR7MzC0qQnahIsZcfIL1T3fFI47uC6X0oqv3Q1q2IIWcmBYe4t9WvIE1tNTNBxxPl4LFXTxXxOHiLFbNDQwEYbIdniHO19cJ+y3FXbq2wUblPUnJPHBO5IgqqZ2Znt+a01D2ax/zxWnWZvY7zatIN7dMw+RITe/TyDycqE5ulb5hUDv940fewUb+zURO/rCuMWgqlPaaFo16oQMHqnd3wmHiN0ckzkojwUabwKeBgVUDiq1pwJVaFOzNt1fNig44KA95RnJwQ56goj3QoD3VAmCQOBVgAvWb+zo2p8KeT8lchD6OFhnkhbVHHmUyWBzGlYojIrSMHYnKr4cJBtBaPnwkOyqCexZME/awdca76mO7QuorOMZLDinw0EbHG5x3eqV0/pFWO51FvwVgjuBckeaw+rnpQnPc0Z7LAFY2KwyTnVLMMNrkum07JC0kiOzbctnlr66wC6uoaggeCbbshMPBRqNNKKepVIO6nckVUs7Mr2+RWmouzWyfM3WnGftWu82rSLe3Cw+WCt24JB5OVDxkmb5hUByrm/PBRuyqI3f1BNOYCpjmFRO7ypHftAoTk8JvPdCjPdUPJRuQtgVK05qqZaxKrGtVUHWLUW5sQlG56zf2dEV3/6d6sF0dAHEIZWURzTA2zM1K92JRdwQdqeEdVTCbxyub81penzfthQnCdhC0VUt6s4HzUT+y8HcG5ggymldyaSum0ptnjKXajfdKNtQx+rbUnZuMyjIS5ObjbBHaIy5LZLTtDhin1mm6mQllnPcRbzWOrrhYBdVHdyXisNQuroJqZyUfJRFR8k1FSKZTDupw7qI5qqZ2Jnt8iVpqLs1j/nitONOLo3ebVpAAbdMw+TrK3ap5m+RBVEM55Gfeaqd2VZH83WRf3mO8nApneaqN3FUbu+qd2UgTD3hvM+FRO7qazLc9Zv7Oha7+Vb+6xxTHUYC6KocGlEIq5Ra22sEoaiNTTwT82G3ktO0Z6kzreKrobCpg2vFaGqcDJsHxVLMLsla7573Q6Er38oX/kvam+RR3MVbczRR+qGlYCBcnmjGQJKZhHgbFaL0iwhh2X27D8/xT/pLcLsKbQ6Gq6i4AZA834IdK7DiVgsV1wsAjYLHdwXjqvu46huDkmWyUZ4KIqE8AoignMuVJG4hPW1qIWkI+xVSj+orTseVUXeYBWmGdpkbvlZSj9ZSu/peqDDa6dnyutFu/wB8B964VO/s1UTv6wozmAVSOzVG/vqB2Twmnju+s39nQtV4lg/upCQQ1SMgDBgtpxudwIkohEYrbN0UOITSiMlLHxQc2zmqCUYgKlkywK0pSG9PUvHzXpDSWEzOkC0ZLYTtMZWi6oDo6hh+aacisF0Xo3WY9uzfxK2XyO5NCviisFdEfWrlbRTeKc2Rpa8HwOF0KiTb2cW4lhPdQpfQ2vOW3stac+0ULZ31YrrBYNR2Rv3RT3p9k9oRacVbcxR1W3b8EEC0hbEhKI3ekICmfGHNKqafFylfk1TNzjKcFUs7E72+RstORdmtk+ZutPx2u6N/mxVzf1lI0/ddZU47cMzPmCtGG3tRb95qo5uzWQu/rTXjunyN1DxwVM53aUR74Q57jWi5NlTV9OyJzsHTNPyaqKlY5kTG3GSkcbo3XghdY4oXwRagiclsp1kEzoy3ZzR5otY1zuKiPFOGSnYhxFlDJyVJLm1PYbwzlp8CvSagtaXpGjmgLNq6Yt8QtH6S0RFHTyXLpQSPJDoH+JWG+b6r/VbDW5nj4KenmbLTzuheOHBHSXopSU0sRjnE4Lvhe22DlbViuuEcF1c9y2vbC2jkmixKaOCYhwRRTk6+ohcNw6xq6SM2Ra4jds4ISRBpKb0CYbktuqcjGMKkd3AqUocCqgZEqrbwVSP2akGbCgp4z6uVzfI2Wn4OxpCb5uv+a9JYs5mv+80LSjf1lMx3kSFTi3SU0zfIgrQrrbVRIz7zVoOa1q+H5usqZ0O2HsI57SYCQx/zOSnnebSE343TiSimkoi9irHFdbBEHFNPFGwwWBR5K65J5KcETmmFG/aWw7ZuHrZNntLSjwKlZxXMKNUsuYCjFy05ICmZ4krDUNdt3x+sWcop6H6JU32Wm8bhm1VkbNtp2mnG6fG4tcMkXFO6QYFbIC6qGrq6sdYNsE2Jia91kRjwWC2CU0phKZYKIJiampnNA8VcIooLxW00rYftBY7lijFK3FdLG0rqErBc0EFlqj5BQnDZCpz3VAU2+BUvNTtUrc2LSGkJAGRWb8RVBSRh0o23+KljgtTtA8lWNeekY5PzV01yLQjfFFNvkhwKdfJbIFiiW5IWwKAzxRvgiE3OyuVbJOCcDdSTuvI66ge2Poo9izcccyn87qM+CHA31VDpNhtzddHExp5bh1eCw13+tGJvl+Sjr9Fvhd1tjs/9IQ1oIFtorp3ZIRm2yrDJWGvNY6sV1gm9FfwRLVZ+JUIg7XBMxsmv4q3FG6eU9FFFFOCcEVcLFDBNIzQkiK2XEbtiE6SzVaALHX4Iooo6sNRU08myxhcUw2fUNHkoKduzGwDXBILOYCqSYG2CqogejxCnYeu0hbB5onMJt07zRHgngDFMIyR2bAq2acThqbzTyByTbHmim6ipLXTiuaDW5IusmbGFlbVgis1h9fKrNHVTJoZNkjxwPmqHSfRSNfZ9us22R4qOgadiDpHcCTZaQmeXPnJvw4L6QzoJcXdw/wCFdqx1YI31tjcDdU8cJCDsApicFVSDEqQnFHkieCarIWHuDrIRcLFde6O5irytQbA3VhqvdDVgjqurmwGKqakh0g2GqkpGAMYL80N0AZp8ngFDIDdt0w3LcFUxHs3T2nEWRC5hMPFHYsAm7JuUU3ihfmiSrK/BA4Aooop7hyTWBOPZVhjjqs5XCKPJX13RWGoaiBjgrfXHxPa4OIINwV9KpWyg49+3Aq4Kzx3CiihPFtOCjQVk7gpBwU44KS3ZUnwlFFOR5b2Ovaujq8NZY4FN2A0qEjNRHim80CghrOKqap/VbYc1S01i5u07xTWgAboRJ6q5rDVdMcMlE8dkIXNlUM4XThmE/gm7IviU05IrKywO0U0o6nhbRwCaMTigEXOxOCtrtKsEdV/+9XDXjqP2BNBI0sdaxXSt224A5t5IrBYo6x0jbqiipWMLw0qjd+1Cp3ZSBNPJHkm8golFyCh+FQu4KEph4I8FMFUDgp2m2wph3SnIhHUb6wCUwIarHNEd5P8AiUo4qQcVzUZGahPFQkdpRzRCeXEFQxNsxoA3uATn9pAb974JhGSjeOwEWnqqZuOwtnin3WOKBGB1OOQRTnNxJTWYKSTIYI3Nxu2kaVh7jksfsGxVIfVSkbJ48lJARcdXgRkfIrHUdZCce8VOP2hVWzKQqvZ3ytIN4qpHaCZ3mqjOdgtHP76oXWtMFSuP60KM5G6CB4JnJREjAKA91U7u6oTwXJTC9iqhp7KlbmwoxhO5opx1W1lHWeafzWkaKMM7bQtHVVhJ6tyhlF45A756wAnyeAQblqOoas9zxWHDBA5YppCgffBPHZT2O6wWFk4NzTnnDDxTG48eavg0K5vJ+Ca1tgE1vWGvHWS3VjrKuFjug6sfrpaQmbHRTjbjPdP+FGxwMfYfizx8PNePvX/Eph3yqpmUhWkGftCtIt7xVW3tBN7zFQOOIstGyftQFSPymao3ZOBQ5Jp4KM8FA7uhUUo7IVK++ypB2XLSDMm3VZHnCVK3NpGooo6iisExRqrpjeKcqQWbOza8Vo2qHUmAJ4FDMm+rHfzR1NbgnOWeoIIEHBRu8E0OxKjYLJz01hQaxRuQMRw1A7nqwjudJI0KOKG7VjqF9y/18tKbKzoZD1XYg/CRkQnxyu2mgHjbLzHmgijveG94bg5IJ/ByqWZSFaRjyld+K0kzjdTjtsVK620yy0ZJ37KglylCiOTgdQOYUTu4FRyZsCo33s2yHcKrmZC6rmZwlStPWYRrs1FHUQU4G+RUMNZ7ZK6SPg0rQWkcaaYRu5KWjxkI2eajcOq5BW3QiUVgEcdWCF0LZpjcynPwGS568wpM2OUuyWuKvqHJA5Igrqq2rPFALpKiJrcSXBUsdEIj+ssi17h9jFjhihU0oDuGR5I3x/DVdHlqaExMTE1C6HuyiNXgjzUzcpCq+PKUqvZmbo99gKoH22sFo+XKUKB+TwUEDmojm0KikGMQWjpO7ZN7kiNHNsF1yinJ3JHkjyTmG4VREQdojyVbXRsjfUnDJaWGkIYzK5kRd1nnEALbjDqapbLgp4jaRhbuO4I8dWGoBZ4LNAXxQuQ1VWkGOmLuoFJFk1SM4IjgjqO4Ve6Dr4LZcRqKDAnE4IUlYyR2NlNVVjpzxXSdcIfYtihHJsv7JzRdKIibm12O+II8VDGMVTMBxTMbLaOoo6iijuBBN96VK3JxVdHlK5aRitdxKcLdIxaOeetgtFy5TC6gdlICmxU8jicgV9IrpXHHFXQQQQ1BFpWkKaB0VmvaRxVfTSbTJXNVZPR9G9rSfiVMZg2WMtHxKnqGB0UjX+RRdw3MCivBDZzUUXG55J8hPAck57rc1FTaLhi48VC8KF6zsFKy+Ce3NHWUb56gQrOB17QRBRDl6thQts81sOt9jWTnxxsJ68ZvG7/CjFOw7NiRiPFTSnOykfmUfdlFH3A92Qpm5PK0hF2ZStKyQmMymyc51yd0rDUUUU4IOGKqKd14pXN8iq2Kwnb0o58VoupsBLsO+Fya4YG6wQTQo4mkuNk5202PAc0XEpxKax4c5GPivFMKieFTyjJRPTuCmYeyntR3Opfkm7RCB1bJvq2qdi6O3NPfY8EHjU+aVrGjE/YhC6WJwJ6wxHj9WO+E1BD3B1BG6KITtZR1FO5Lm1aSpcYpiR8JUZs2oj2PEZLR1r9OxU9iIuufwCqKh+09yCbyVkQinc08HNPHeWzmVG7ioX2UEgyTDjZSDgpW8E9pyVl1D5KzynBAjFDYWKZ0bW+KAEbhxCKxshZClebZn7Fs4IbWHH6uXHBVbmbTY7qoZnE4IjmijfWUUEOaB1hDBC+tqasNVVWSbMTb8/BSt7b1A3O6pwclEOCbwCGptsWppQCKOs6zqKe3ipWEYocSoJBmFBI1QPvggcgpGk9VSgHqlbL9RC2hqLV0tPsnVZOAUs07WNaXOdwH2JcW1Xv+P1ctIKqIQLFNPbYFoyUHahC0XJ2cFET1ZFLwxU7e6nDgijqKKKCG4U5EJp4rRFN00VU4NLzgSoZ27dNK14PC6nhwfER+SOOrlqxx1eC8NRvqtuHcIThxUrbdZObmUw2uVDJxUEgyCp3XwCazSMzBwedy+ohbQBCfI8AcVJ9KEY4qi0HA8Ma2WrdmSMG+f/X2JbVkVj9ZKcnjipBxThmondpoVDIezZU7uy9ScCCph3URw1DUU7UENY4rStC4GnqnC3A5JjgI9I0+HxBaB0szbo6lodyuq6nveLabzCIwWSxXLWMdQQ3AghrKIKKeOKlYRijhtFQsp3vJyBRmqpJDxJO4dYDbINT77TT1uaHPH7FGRRG1gtGaW0RTSwy9BVbFnA9l9lX6Nn6OoiLeR4H68U8cVIOKemOzaqd3BRcHpzeIR1NQKKOuy4KWJ+1FK5juYK0xSAMqAKiPxzXonpoW2vo8p54KrjbtwkTM8E5jrOaQRwVkdVlcoasUdeKxQvrOo3RCICdsWJ90fscPBY7Pgqet9Ho49vYqI3v2TzF8lJVUMtFWx9a14nnn4J0Ur2OzabfYZTuesIoocVG5A8U5FHU0nkVprRpHRVBcz4HYhaB0m0R6Qpuif8YVPUs6XR9W2Vp4XVXTOImhcEOATcNzHUELasdQQQQTeYUQOaAGCJzP2jZydDEwsdbE3X0pvRSNDgeyeIKbs/TYW8bSjx5/ZZTlitC17+jneGOUNBLZjtpvNAOtrCrqOQPp6h7D4FOczotJUolZ8QXo3pdu3QVTY3nuFaTo7l0JLR3m4hBBYIIctQQTUwcUxclIVIeKPP7VcC4eCLJWnatimSwh7htRTN2Xjkm0NXLDs5HA+GpzWg8ET9lSgg3IVVMxrHvJDVjvOY4OY8tI5LTNEAyT2iMcHZrQ9cdtlL0L03mgmWzTOaYnKQp54/bV8F6/5ItcmD1Ezuo7BWMDs+AdzChfM3piWs5qNkzmRu2mKpnjfKy2yzNB78rLqddpA5qzjindBttxHFOcbALYwOaJKLT9gPOeCaPd31FFHdahuxlijKag02H2hZ4Te0OKi+itOTkWOzRrtD53dGU2Ol6OZoIcOq7kmbQwuhHTtdTy7IcLOaunnDdsBTmmbRvhDTH3rZqN9Qx07HdCD1iFosVDW0Dj0ezipdKzODZms2McVszuhNiYzs7SqXMdL0DjFxdbBR9M7YNwmvicWnrjmjtm+a6OO7hnxRui0YnU5uY+ryPbtHBqjZwQ+rHds7X1/tESTsic/YDza/JU+w6Gtn6AsOD8wo6Sa0dQ2ZhGD2pv0xsMmLJDYr0dhiB+ibfnivR1v+yYP6V6M1mdMz+nBaM2i6nnex3C+K9I6WTalh6ZgyezFS0dK+R+w+N2DozmozI4tbhfAKm/0vqH6NUM+W0E2SZokksHHFyr9EaM+hRlr4JW/rLc1LUyhscZdzWhv9PhgpoOjnbg8oVlZFCZAwOOLuSZo17aaOZsrS291XVlRs08ReRibKNsuxs2kbg5Ruls4fPknRzbJcHeS22OfcEjurrHCyd0e064HDU/Y2rYfUZKytihY3aLjkqqjd0c0LoyOYTAUzmhrH1exCu0IWQWP2g0gHiFTVNJJT1UYkGzhfgmiExQwjY/uqp9fEXRuDL5poiY3OwAUYzFk12SqYsjtDkVtMFx8loXSQO3CGPPfZgtKUh26R/TNHDvKuLwypjcxzOBFlAyVpkbtN5IyOLWOd0Q7LSndPtiobGW8+KhqqkvbEGc7cTzUAikbLBZjv2tskBO8Nl2xfByqKGjdPQTEzW67bKepqHPfi97sVSaL0bLDPRNfLKDsvW05aOotBMq2VodUO/Z8k+STK7nFVGj6FgrYP1guzHJN2hhfwUZpA8ER/w9VVUfq4nO8ghBSdJVO6IpjZHBpuOfvZ6OqjmidsvYbgqu0rGPpNnOGRsiTqKKOoIfVupvFFHWSgPsfrAKGCn6Rzg4yBU2ahYbAfNY4G6I/wCiha46q+IfNYdUq3aCHArR9czZqKdr/FaKlJ6KV8f91VRi8daw/ewXpFGLsgbKP3HXWnth8slG5jWY4qeqoGUhhjjY3A2FibLrKgGh4nQSdHMDZ7OYRfI0bVrlaQpqOOI0xljcLtl2b/3U/wBJb0dOXOHgqTqlr3dL32WwCoxNed7227Nuaq6tw6WZzw3Bl05jw4ZhTVL9qV13Kp0owvL+jb5LQ/o3SmGEiWZVtfMXyv8AIfZvU9yEEPrQxx98QV02jjGc4z/Y6mEZIgZqS2S5OsfFfE2yv2TZO4i6BN8int4XTCmuFiqGcl8cktPJ8UT9n+y9OaO/0XSjKpvwTNxVfBf/AFX0VjeOL2N/6X/p2JNt2jHQu/Feimkql81LptsJf3HjBQPJc7ScUvw7BX/qHo31TaQywM7PVDxZSRaKnq9J6JbC5nwstdU+kNJzVEcIia49lGvqWsMohYf2jslXH/21fSz+TsV6SRv2foTj4gql0ZSOn0o2PyctppptHtEUQ7wT3vLnOJJ4n7Ot7wH7IZS17Ok7EnVd8+Kc3I3Hihe2WoWVxYGydHbaxCaey6xRGY/BMdkdTTmNV1FEy7nWRlBa1oDfFC7qukb4vYP8J3kqmM3ZK9vkV6R01ujr5MOZuvSNjdidsU7eTmr0ZqD7Z6PRX5swXoBpOg+ikS0Y/dC9Guka+D0oDR44FaB0XQMiiqfpcrW2BC09pqQyyMl6LgGtOyE7kjqJ4LTFVD0sdMdj4nHZH91VUrrTRlv5fiiPsa6t9qkr6dVjpnljG42GbvBWwsm2Rbkfksr4FX1Mw6qfzumusS3FW1MYLl1kG4RZ81JIes65RPFYWWwTUwDqntN/ymrFRUVKwRxs2yLueRcqOraGVETTfJ4bZwT4ZXMIvyI4qtralkEEBc9xwWhtBMaZWNq6q3exY0+AVc6UO27cgMAoNK2c0til4uAwd5qopJiyQeR4FV9XJsQUb5XHIjJvmtJaO2X9LsyDlzWm5hHHUyh7Wd3ZDb/gmllixrmHgcVo2oaSxnROIwtknRvLSMR9nj7JJTimoXXQOY4YEf4TZGMe3Jw1FXGSeOy75FG/WBH5azdBouSo2YR9Y/2U0rus5E8dcMQ6zvkoxG5riGgjIdoqN0jiwWGozRsJyUoxNvJfTNkiIdXNxyCo9EwOZDbpHdt//S6WoJcVdy6BwxQe1rejafEi6kbFYPx8FNVON3LrohgHitIys2mQv8FI53XaQ9vMaj9on7CceCJTU0a7FYgJskb4nusRi1W3gMSVBHcM6xU03ad8kTrjjF3OATY2YEMHM5nyUjyejuP3jmnONybkq6N8k/6HtOaQb4KMydLOHbIyaTmjHDstsxoyATnk4o5orNWy1HNPmfgFTU1nP6z/AOwTziJCopm7M7A/xKoHsJiLg7kTcIgkFH3eH/wYahvFpCEc7X3yOS6SFr4zYOGHFG2Nr6ggG3JwVPHcM65/sp5T1nfJE62tF3OACYxl22A+Ip7j1Lk/E7/AUkjtpziT465ZnWa1RNILrX4kqGKINazgrDieSkkd4I3zCJcrLBXWKaRimNGARRRRBCjqLh7AfFUx/ZqK2DiE+JpO0Lb/AA+qD6mFh9g47+K4oSRGJx8W6mtF3GwUDMIhtn+yqp3deT5DJX1gBMA6hH3jgEXHA7Z5nL5BSSOu91zuOlxf1WqKJtmiwTmgYLDNC91c9hHwWGGrHVgiippOxG53yVU/GTqD+6gv+scp2nqdYKaBxc+3K2a2VHA07Rx4BS1D7k4cBqwR3Ln/AOGZrDcKkbVxWd3giGOsp5JXbUhNkUdZunyTODnXA4KR7jtOvbLXhqINwqh5G0+6Ja1dYIFqDRgnXtcrAo46skNlZIIbXzQYxoaLANCnD8H8FIZMXFDZCCIjkPJpKe95Ljc7x5o7P1jDcx14nXgsVhuYav/EACoQAQACAgICAgEEAwEBAQEAAAEAESExQVEQYXGBkSAwobFAwdFQ4fDx/9oACAEBAAE/EOE4YuV8sbU2DC/vUKjMnVjLGoUgaZeZeEsXf6iK55IfxPcXCCE7YGEgofeNyJIiyHGZtiMRiiJRioCh7IAN+sTBnYQFMQQf0Mw+eFQPCaz4xI4g5lKgtl01FQXcV4mxUaowdQVKPhFLmCcHDmHIRMS6imASg0cVrUCtNVKagc1XvEzi0QMyj7lLhDcK/lBsLzNCiJcAB+JX1FC7+JgohtLGpV3pz+JS51MGNwW/M980ZqA5mIAmu/zKXByPkxXU0xnzMXKlYlVLKjg87TlPFRCBHEw3iYSiNxDw4SjMpqEavHhZQpQrXysyerNcwmVVkQXGCVqNExyOOYWv43KHJHPSwvbKXNW6lpwi5NXPoEpx8oKjEDU0YvxrioIqwuVlm/UsZi2BMO0r+CE+yYgYmJqpqy7whhNo7mxCVAJjLL1BtrMFz8sG5wYXHiwagbhsgfAZplMY3MWpowwsbhQbgDY4lo3xEMY8Ys5gpMzUBrwDPyg1Oi9wtbuGuYgckTiJWVwqcE9qgtzdw9YLlhVQ6xAY23CXLgsldeJCmsS48VifBAzKrbNypXz4qO5z4SVKjK8USvFYxKjaVAlUyiYgO7lS52yXXomszIREOUxmrjJLajUYG68RaIElgzmYRLqHNApmCD8cs9SmEjpiUtimiMhKwXqWQGS4gltMNpL0xBRC1cT+VCWILi0Q5QU/mahqPMGZh3DKAY2MVwF1d9RtUrKXHhjbmTDcmN4KmqVpEf5xq5dzDgyQWAl/Iyj55mKXIVhBAzAcRDTCMVXcor3DlgbaxAN33Ky3MuoAZRC1GhaTPKY1OiGiKYIMwHjZc7lTdwjqYjzE0+KthdzF+LmvHErO5RUbuFx1LlS8yqnCHxKuJL/aVwFTBOMNQ/gTHQ3dErSIAWig3EtbwjcMpYagQGcaG24y0GVpqWJ04PUECoiLmTe4AtmLJAZSrYB3ChbuAxUwFdwVxYlvsfALdQuIjWsR73nwAg58GKZBiFr5YGJwEujiLo1FDc54l7mk2m8DJilIwCPJKLYioAdGpj3nQQdtEMvEeKMnhMA7hIGZ5SNOIGoeK+ZTOmdktnEfu+JT1UDjfxBaGLPiqDiVuioyly+DTUoNeGxjAh4uFMpcqrxKiVz4uXLYzPjnyPiiLL8vl8WxmI06J/LZrG+VEOyWAY4SiXIkwoCSyd4fjKBGnvKA3CDEs3nE/MIhgDxlRHnqItTQi6olAhbSUdbZnhtqUacziOU/kQPBt3FZuoOkMbwICo7lLjlviFGG4l4xFydXKgFsXt4i6m2AuGBcjCIhYhN1MK7aj/MThfcSyADNRFc6guMwWWsCaYV+0pEfeaJiYFcGd+oV/PctZMEpzAgVMwKscwBCvnEK1ULf48FivA070wZ0SmpTDUpiFeK8alwG5vnwHMqUTiJKzEb8J15LlTUqcziU1uLCVC9NP5yDc3TSEAXcZMalOmmAFl3N8pcaijDxHr6mAhCH81DcCyjqJzuZ+CO3fUs5g6ZgermZxLGphLhZ1slIWbjVdufkZTUI29zDOcwGnxiBeAIcZnErc3IRFTXNZjwrmHAQLx9MclJXuO1i3mHLDmWfCUS28QVWYvRCqId/G5cxiAUY+phKARXF4h+0I4gPEYsJcYt3KTiPD6uUD63NPhjd9ZlAZCO2o3tY1imYfBA3iK3JqYaYNY8W+PqBQhxMRNb4I0huDLmSZXxWZmvKageKjKgz6jAgVEx4qKe/0G8+ExqCJjiGVNjmV+9NX4gzxKRi6AWzEV981FVcVIUC2KOIhagKolT+YAkaG49RNdYtBJ2DCkAqXOoIDLiZ0BfERcOCDO5Yah5bygNfKUZYeG9bjs1KoPXRNWVuBfgCcLmjnNeGdRnaOZpCQytkVkMKWW3FO4vxHQLiu/kqCdBkIaZ5jha3DEnKXUaiLESWNu4j5zUrWtxobjd5NRG3kjlZAtdwrrc9zEbeO5+U7zOkLEuFsa8VCXsxwm8SwJ1cancz4aie5eWLHuN+DEvzgmJjxZqWEvwysxloj4Fe+Y7+dlElX1Zmmbwwiy+DDO3yXMC4K2YHa3KPjuZscrCx4LfliU9XmBDuIA9MJxT6iEtaPCDOOJhmFtqGlIDUzkNOZc5wpi/aaeJfEZFSklwq+tTlFbiw1ZgYd7MrllzA+Y1Rir47EJcJPEDM0YncAiGYWpnzzgmzLTSGZa1TIGQ5nOHWpQGO8TMRUiKTKc4neLGYhq8Raja53WI1WbhydRYX/cA7+YDFR9q+IFqF5huquVolFQmKJjO4OoEqUeWiSsRqWxzzG/KTLOJX6E84mLmO4j4E8DMqJEV3mD57QCMycdykZa4WGSl7Q81OTbE2SL0LMVcwQMLjFcs+WGYNqXs9QoiWA36ZuzHNYl7GiY2pCXMDmVriDEBou1F+RLnqbVcOYGq11CuDCxGL9zbU1OECVKlRvwlsbispNom8Mm8SpmDHiHzwwt3KRsgmuGI0OTMomUh5a8N0G4Kua5Y3xCCHUd+001mKjNuJaXzbCsQFQOSHKv8As+G4A+WIwLjbJuQS13K97haQ6e4ZjwJcrHj783iVGVMXLqXGYqcRNwKjOalzZEz4zLxHcxc+yOKmbjVQ7NauCv8A92YYBX0xYlwF5I1ErRxFjJLjmSi748Q3MHEEAxqoGYcRGnErqUjlA+ZUpjRBZXwyqdblMsuWHDMkNe4tVUCzqHBqV+pg/KmYjcGe5lFq6vqoioq/CFsqfCaw8HwlRJkR9JePhKqpTrEpZmF3uF1Ld3KIAVfg98UK9RbcbERiXGXS2QFqVgE0YmBzfi0zMuJjdVKq8eCELNRM5+/DIMRalDT8yxUxJeGsvCvmGpWkxmcalNRJXhiJhgRP07nvwuZUb8M+pXhgQFxPE5gfSZX7ENXG+xTFcU+Jl0bQaHvMxQAtYGEpxFj7gHBAfXJNNbZh44h1xcHREYx8niiiUUzczMKg2dxySWGupRv6YT7EvEMtwA4zjMC9ZjTAYnWbIQYQQFw5gx4MoSwmJ3AmYsItR048WUDEEVA8S2W5fFhpSEL+Zg2XPWnHc0TMEGWErfcEDV4mm6lvBlxrsivpGscwS7CEWldVPhKcQjUuJjiNM+LL0YhhzF/tkmrgyjmEWpRc4hHUafCOZeper88xrP6OfNRIVGJ4UzEvEtiGQ/nYsOYBfDTMY7v7g5eI7JTB1qXMhxBeY6SZ4uoNFQs1lOZhfMaZiMGAOYFkHqPV8sLVjMPqZ3CbHPQz80lYzVSiwS8Jar+UW8Zm8hmO3EfAn1mK8eH1RLmCUmgie4k1HFGqgZVuMImIW1XcrMysrDOKS9xUJcFis9zBS2WiXhNmD80bBGKlr393Ezn4mZAtzN1mJhAL9Q/tC/zMzPUsCGLuWXiwkxgXjRHS6YyqfcF58VgiYZWY14NR3iFRlLKySoalb8NJM+MkzmfcxMSyLMMb68UqMIggY+4VJLEepeNS9zDfVS7B4hyTTFSsxYhHbCnSrN/8RA4VM3aM2qCVRERgjXBFNsBkCYN3mC2N1Ddu6ZTwNMPtNOesjGiv943i/Mn+brlxn9j4HHiHoykiOUXa4xpjSs2xWKEqLDDhjcMxTljDVbqVvxXPUItbiB4CIVMdeRFhMR/Xh/sCUDcBYXPMVVxyYxzALm2SUdXqG9fUOe65jW+oBTV4jUXMfhN6grT1MhZxCYn9ENreYfOrmKltMrE1FzdS8zDGMMRyEajMyo35zKjuBXhzGtTUs5jLx4qyjDmNszPhmbU5jnxAxLDPLP8AaXWTwphkomjwf9EDW7lsZzUf3GC0zZYH5jfSCqmLmHwD3HdqCvUofywt+pRIcE9cyLog2lo4fiN7h7l+IvYif32Eo5y9FRFb8IJ4+PGqu+hlbH+Zq2d7SGv+ZJnT4NIor71MZ9EuXFSVxht2Et1L5KhdKVxUTu2LDr3GlBmNUxKg5dUSlrUshBtxEoC9EFpcdSrHwRgVMLYCDUAiVNq8IZY1NNRN3cNM4edxKyReIMXKnXqXJRECoaIIf2omDoWNrAa1D6mJjwMVSO5UxGGo6jcevHfi8eL8rLZmViWZgkCYjbEYt4izC0ri33F70TH5I7oNk2lPGkaQ4TCQqLmDFbIVSIBJmrLtwlyimuo73uW4qJDTAmSVq5d8iAfNLLcqlMVK5LUYpLVUTbgqX0cJypsC47aToCUFLCaQcTg/xg4KX4mxQiqBgThHTClfOS2MMC2PyS1+nGc60v8AURUsXCBOvhwa/wAaMJpfZLj6gT++8TXfBJe/kBheP9mfIcsI6zzyiXUvW0bNwvakgEkDOP2uE8MB5jbYuYxMJ0L9yhqxlYrv3ADCS40ZhXNkvauVqtMGsxAPmo/WYdCwagXdOK0RW1eMzmZbxAme51GZ5myV+ag4zGXxNzUqVElOIG46gMd+axKLlbhgjcPGA5Evub8zOjpm+4/+EFWHBB3K1E3Br6lkzHKBSkW6lMEjP9ozAGer/wBSnCHZ/wA4SD4//ZL1D1aP8hNaI1Rcs49bUNqlqqX6hUcRV3Z1NxLYkvFdQh8iHg5g3iVo9EI/BDuNn+plhioRtS4DLLDmDqluLdTQOsYKQj2BjfYJRwX4QeHWOZD3MSHrDphD3+I+0ewlnhFtt9RJn8EWOEb0j+Ccs/cshW+ln86Er+2+KTjz2SEQfEtCkLV0gzAN92ic+eKPF1fGE3Qxf1itMJWQp3z4kMOTDilXWH3FML0uV1pOHS/DAUaVlIj6uimsRp1fuCdg4GNrd1NuJYhC+vAYZxKb+Zm5cbuZzG8eFjvx1F3cZdRrVxG5ivHEIuYD4b8WT+4mILWmYorXMNPEXQwycysSgWUxbu5bV/iXtUA2rENA8ttevBCbZ5kFL6sqHVHsFX7bZlEQLccR1P5pbldmmeo+IAjaRlRYMpqFCICu1jg0GPk7gS9yclzGvSWRzb5YiqlvtQ8ZtLI6ZZUK+Jgvc4iBSXJqEUw56GL5Zi8INaCTieGoctijhhvjKwwwoQguj2z2E9GPZKonEOJRxK+InZE5RUbps4lkO1hMNyI4SLKgViYsuLrFVM/RFvUyQ1pgbajTBFgn7DKLOD2l+komUxf6LC3PxsXn0p2b8vJY/hs/sgVMXchlN8XildUhSSm/hswlx12oiyzmUYIoj4PmLPUVOZZFrEZepUtMVCX3Llvh8NS811+heTwJweeQxl/UDSP/AGYIFktGmfojUPEwG1e2NcPOVwNdEXmfBuGt2haf2hsUNkFyEQVCYMsRc0Tco1CDblYUuCjuEq2MpibA03KfdxKe2+ooKmZWFfW/uCDRl2HYdCZv7fMKXAcOe0L9kKD4mWsxngThjMa/uOhNYVDyBOeYKTtWeGWwRmie5myIxb2C41EbKjcCOLGF2CVFLPkeL0Ss0z1s9UyalesecxabJX4inMeGK8QlplUQ4iPEojHhnrZ8ZfsTZxmbjNuNxegp3DwgytoF9xltCOhy9kZswGsS3SFwmCuB1HYQ+1UwrJT+5iMNM2lvDG7mYOcxc34a6iUsslxMTmDGpmZSXLpl4GI3FbqZx4rURlvLMRGcyypcHOozeCMkauqloqaElZZYBHY1LEXSYhFA0GV4Dlj8g0pRyP7NZ5zKlos1iMhV7WfxEszQl4luYNzIqJgtiMBGnESiGwJUsUDFVII2N1Lqx8eyxPcf5Um0KxSG5H4zCFXG/mrmOhYmDbog0x1e2GIhQmkHGhEiDCMEPWBEFBFKZNAEt0FnTpaVh5uCAYPcqU/5jSrOIZXTq46LEsRUtNfiEU/AlM1woHR8VbmM2TLdPXGKEo7lXhp6Q1SjCd2qFdWYM8SHrWCSBmKom4SdGyD7XUp4lMJ7cobXhGJRtCr4o38R0qBLUvicly7ZxxCPCaZVxuMQlDTE/RpleHULjfhRUqVG5tgsSAzM1M5l0MEw5RrJ5fL4r29xCbGg5AAGVVleuBtvcDVwcsuHB7XbKF9giLdPRll1oYrxEZdBM5td1AXli1uoRp8wxxUFkX7qbtYeoZeF4H25v0QCPqFF5vKlXuZgOU+mV+qghvLsBCrJSWuFemoL+dEksKh2HAq4V+5f5mCNCKxKibiBYQ0yvwwazG0YSubalzZUBfaUkNROW4HWuY3g7B6hhWzqUbFwXf4JQIimIG5Vtj7nHmHfLiiBNIhlOo9B4z1Sw1Ga1WEAACEO0CCeFrUbVqo2bJeKh9gCJVqlwGLLnQRUVbJSelJUmMQYNq6ZU+CallXAfxlp6iqr5y0wupVzZHWWUxUSoYsiRPfjhlmCd+NiISipgjHdTPUqLMb8cb8czslzM7mIFM39Eyqg3JdtzFRPycxbjBE/Dk5f51XFis05joBfPuAsMD1X1NC7u2FPEz279zNmzEVio3WSWJiVcFcz2QDRmNZI1phRfcWN4VQWXDLSgqqHkhmAaVKMFbiqXIYAvIIDJDJjhR87jmspMLiULaiHl/pTC8gBCQYQRFzcEnA3MWtgXAbBwErm6Sgk04jiNS4cGBxBQNqhcoOHqO6LUwONBMO/fiozpUbIMwwlupTMy+zC/cB5h4NK1D0nq8ZA7Z74dkx3HKAlNTO5HLKGi2FCKuNNoYdBLnS4DQR7le447jYJ7pCWi7RaVYL8GcRVWO9Zg5ylI98xq5l6xOY4T68MYURl5hMRIkIpcyQJiJKQwiXGGaaiSmczNszJZeZfkhqxGES/9w3HzMFrFQVzR8GV4IparOQDj1lbAhM6A/uLsUuxzNBviOW49t1LJBy6lKwTTRApHEu5aZM1lZXUNxNGsx+dMKHxMoFID40xiMmrq4jlBuj2CvM2zwJkAILGUQoUtHdahhqjUCLcYF0xK/en+WHEBEdRPicylgoYMX4WY+alQOLjmJh1VjiAXkRIwe7idFtbFhpvKw613dstQMvcLXx8yn7INW+IxTUGDzb4r4tn65649EtKzKY7bKRN2/xBAioSGoZLqorrEah9puX4EaqNZ8oUuvD+KIGmw/iGb3ABMxA5i+4vuW1G7g3FjdxmmMA8VmKncZaXZLlkxW/GevBa5m4sfYiM4zHc4cy5dMDM7TGWWBuE1cDl4iUDev0+R69R/BWwmAeX44jthKhfEbrxcGPFfgwWxXCEYKII8x5fEXGW3Yy29xb3mIoXnhlt5B0zFpBBnC0iaRi3AP8Adjj1fMOVJWcuMZRZd1zO5r3AD8Z+c/5ZpDw+GlgSSVGFxlcM3mMqsSNNqLbmDbmabgOL1Et47JHzuL/DThlu4TqIhiEWodLL9QCE8sFDM98vuQ9EvdTDqNuoyRN+pnFfqMaFSqgwzMBQRBTJhnEIIB1ExFeP8qQW+f4aSlHK/iELqTTkJUohLK3U27mcy2NzPhxLI3GUkfFzMAY2Qcbl9zOKjthEgS2UwM0xr4mDbLdRRHVHq8QV94mrVKFkGVFC0O8aIFPA81T+fuVBRa5asVRLCX4WdUspamLbA0RblgHgQ6qOiJAEj8xUd7hqmJY3u7RhwKO3C03v4tOHdNSkzqCN0hkjSWjGPgEalEdDSXjbbFrBBerr7lCB2k0BEK2SQVKgSYsUgRhx1cRjBgpRjwqQnCBmzxq8E9cWYk7YuOqKL8IHcA7co4leoTJnfLuZYwC4A4lSoIkSYmKmdx7iX5cC2q5urx/unEcxnMtrcK/S3NkZUVGOpXuJCqZpMSzqGiLmBEmSMSGEysvwuXEZn0MJeJdcMC6mWTBBZS+hdclQEcjmaqj0g3RWD7DUVtLHlgzbL8FM1NDHLFqOqgQrcudeL5mViUnMudmcRu/QjfqND1X+CmEplxMFW5+7d/UIpLmcsF+pSFf/AMIMEEqJKnGE+nyqNoOOlwPGybJqVcqJs1qLpG+oXUziSTclvC5eAp1mN4KU9OB2CQFgje5G+05fmPzUZnj1HWWEqVAYBKiEr1E9S7idKeiPZUXWFK3E++UqobcpzLEGK5hAO1lDXJY4naPtTt5k5+4d3OKi2QJW4QqKDVSpVwZ8OgRV8KbRKvEuD4FsU8Kz4uLcLrcYGIVG5UWHEFhlCM7lC7W763EWdm2Ztr3DZ00KTKO9qIGRyRHIOWNwI+B0LGzFxCZjGrnCGpmiHEtLVgEWtgphobg7ChXZbcj7ub9NfRvD5JnlJN0gzMnaLfYvhIaw4ys+v64MQMeGMKkfxx8LUhTbFR4SBcnUx6CJthnKMwTyWXtwLgzDboMA/lAG6JszrMw75oxA614USkuY6/gmNf8AU1/6kqVK8VCVKaleKfNMCUTAgEh1TPqNcoNoz1YT8Q1HLatz3YstY7k3vEaM5YNYnaWmAa1ahzFSHhmPQtL3MFl3HLUS8Q9ovkpKxFLl48YqNEVmJiKmIxGVGpU6kxeJiPCDFQ/4X9Uu7dp6s/lqBN9YgqJT1gl9yoDdvLMIXLLLp8CwLFbqNHjMSW+L8cjqZxqRP9EtTMG2BHuiLG7qsH1zK2129jKuC/UD7JTjWnrtfmEtvTEovuUH/wDmoMHgkYwMIK+GO4w1WHtMNaCHFh3HOE8FvOoogtlnQTe/LMxEgMFHmIg3bcRWyh8xEbrx6mCMA8VKmPBK848v6LIV4RQ9wCCBmB4YJful/lDSsGIDjuhGOi/gubl4nEugzbiDatH80uAhb/tD/mgXFpYqpZshOUzIRtTZw3gzaW6irmiqnKEoCMQoeY3cpiQfUdzTOJeJb5FxmIk35lbOFD4oyn7klFtjLs01OxJR24jLIVsdlfgIKtMReDc2Zi4ngz8pSX4kBsIFka0+pQgIVfghjlrJ8bfRKB7Ad3d/KYOF/WuZngF37H5tGWyiEHuVer+tBghGPjVLfT4SUcxAGlJUiAyS2AWEssZMAlIZVtaqCAZo468IGsPGIlbIduUxkEPLHzbLnUuH6DxZCWfaGfAgQCY2K3r+uGT6m+UOccS8qYr5YzBKLikn+6ErOCQrf+qpnyBwTnzmP6YgVHmMaD5JUspSqkU4SCUQXNlLsIRfXR+LPBluA5RFIf8AaRG/IKzO5eJm/LqErxz4FpmFw7nsI3Cm/lxkEdwabuERK69AGXvcSxi6xG7lQMzVxcRZfgubnMqJOk2EqB6iIkYG/CELXJld1FnQgrHMs/JprS7Y9hwRdmT+4j+yBxRaAFS75WBZdzV6/wCggwQIkSPM1Qfj8MUt9QeVmWXhuPS1oWZMblCtyVdHM16SkzYtvm7H1HaUXeVhAgPgPLKleHxfjPcXzczBgxW4PDCCBGxF71P5l2AqPcvZ3G78k9An65wR+sIhzX8EsyqVMUQGKzENj2RZ6G6jQ4m4yEPzAMgIwfUOasl0NUlyc7GphhnS/wC0z07mu2YCy7qMyXHWMMBHiA3yhU1WKP6xoO7FX4ZT4ovxubdS8EsqNRcM1E/lRHjmJqMtnuCVfflSP+5SWv7gXQj7MKbqoMwJVGoty/NQJweGRHcpiDLfDFszbcy8R9ombjeZpDm20fBnIcp80A9LEjvIXMOihMbOY5VuwYHCaQCzVgYC9Etf6ys+hhwQPCRIcIhi4ieAM1Ys0Y9QlCS21KzLBacE+HWFAOLg4BLvcCruXvqGFlIftJBCEIHmpWJUrMqVKiSpRG4/oJfhWoQgH6DYXZPyIn2zLApKMSI7xG5bBj0X8cpUQ+uP4lDDMSxiVkOIcVl20IwFES4M+peifhD0Dnsh3q89TMFbohkbN7NSiAFXhhdTPUSliQyCnwxc+vcYoZ9dBd2wevGa8FRM+aLiTIRsOOIbrdie25qk34tvyVsOo7GaK8NoahV+lmWcJWq1KLqLKRbgSpUcQ3Gq8FBm0sAy1SxArqLiUxbdy4uLYCNhjrPMeUoobeFQcq1foZg+ZZHqepC4+GaJq+InhPkJQwCHGCzcQgkeBiaa46e3caNOViyqLjJYhmO8koCDOaxDVpGaBGuJJ0ZZwkx4qV4YkZUfCxnMvzeHwRFLeIzPKQ7PyCAX1JaLRXu+IvzS4tEEzKSkeB+duYAzkg2rK3+XxDFXCw1cTV2xhUIAYupirLnC5pQwKYDV1GGy7qENWuLhIIZNlysveio5LnOUa0K+K4+sAubxQb8dZjvDFz4ZzOMWNb5iyRbMdOAY+JIURZTXJ1BhRe98hBzeq6gaVrJsmVeWItyyHgW9eHiH6ViGmdZgLgZVjeAhuOhO0W0/C2pZ+2st1pT7txxnNufCuTWC7Jly3/fBE0gjGNQSDB8R8JSiF6jJHohgxmKgJmDaQSKtzKBaFcGFa8EMcQkdDqImRcsUAZVXb7jxPGw9F0O4CF0QrXmeq7zLR0x7LHzCwjRmmg/kg2k8MpjUq5XnV+JZ8M8pglY9hKg7/sjK7r/EeDHMt4FXMQVhhiYm3JKI6hmlzUiMUlWQT6lAQEEi8gRSFS2lQw3kLVfZLq8TxAMsq1DglPcFEwYX8kum8ytSh/BnoWXuo+WJN8x+fBbIx5hO5fe6j7bV/VwixTpRnILp8Qu7SC7KH8LyylksFdbjlHxcIp4GV5uKpdwAk5foiVS3HDt4l/JW1yuaorcbJvQtzdDWG8VQ+0lX0zWHgRIcfmBgj4biyzmWqjIckGsOJkEfyBiDG56m6BE0QFjgbRFphY1xVF+YMBWDjWkyKIbdqDrEvSAmCBc/hm+Egmk/McxZRsq9OggeECFKRgf8oiyNH/BcbcJEWkEVAVZsuY/EzOZBAXAQy9Jl22P4GIIyHDlquJxEvnqW9oRtstB1KuxbRYGvmLfwTrHHMycXxE2T5woiqrDjSZY3XH8EOc/ilmLLwKN9IabLX2zJ/Rm/0hpY2s/tEAd9D6bRPnF2Zb3QTX/TFYp3SrQlx9f4jE03CTBAC13iKA6WFsq/bG/2Lx56mYKgzcMZWK3zZF19mcaCLGIrAKgFdrDdxvJvsemDW6s/JPyZBjwY6jc/mTiBlRe3uPxOIAOYhh2AoOZQKSVdEgy1N6FdUQLF6hoUEWmLLWRvlw/IEdWGF1avUStu+I8EXmPGH5lJqYasqRsri4AErKnDvMKNT4qG0LFv+MWQtWD6j5gAhi5SOkw+GJfzyrYK8I8Dkl6e/wCJwrQ3AVRqTIQRMy7l2EI4AfJYWJbBCQypJyMNwAiSvRmPRF7MpmFh0y/5HEHsWVSzmmUCClBasrc7+rfOEcFeP85jl41NxIszWvLNy5d/uKvMTlvMF7cEuzfRGyy8vFMt8YlP6SLCoQIXmLiW0RfJCNZjRmYkQrbc1MNCsK4NOCo+JV+UYKgUI6jGC/ki0XLWMuauFM1FAqM3URwDLLGxEtop5VNnA5jusImqQNsNEukEVhjkStppYjOK5Ap3LVpLbVYjS4L5liGl4fGCM11nEThTGY68vhJUIRlQfjgIhAwe4deAkTul/AgvYNgm1R8lR1Uk1AxjEW+cBBW4F35SFnzCCtY4Thjw12lGaYTKB7gMF7x4CNRWxcVCupbGqKlIynd/R3cYk4oPwRqMuW4lZ8XCpxHvhe8X8grbD+yMdhwulqdB/P8A9wLLGVReryRfp/VcvyQ8WwuHgYv0EJUzxBrdCDUU2aWyg9whNH8DDnCxB8MuZ/NANyybmFtoK5FKrrcrM4olpSULcS0ksbGjwu7ZioGpL9RqERJZhchGKiu5lo4d+Pc1qQfCKbdiOzAqDh4oawupCItM0G58q8hEiTD4Z+Tg/SMuPpmaP/uCKdwynW1EpcfcVd044jngv1AiED6DA/xG8PF1QV6lN1GFfUObNgzMgKzkpC2c8IHtlkEpDDWIcviZwQwglncj0IhQ5YstmfBhi2eCChLXxcuX4vxX6xxMzEyeDxmcwFY/1MO4CFjCsDARH2lEasBtIj3gZphQZcWLMvkjlL8EwZzMRxAwbqWjSDGw5lig0wpgxWc1qYSrxLOmo5QiA1rccWCNwHwya8ku2EOtFd5PUWLYzqkpKQXZXywltAL5hDJ3E5Z+JU5ECacl9LIKUcxig2+ac/KF+BgplxD50Pq3/MhSty3Vjgt1QjMswggByiuXiPW8xKQii8RhD01VLnqaLhdM6GmVqr4S+ZTOBKdlcQMlZqMQYVsup6c+BWbhv7YUolEVTJKZeJjxVHjMrxX7Z4qZR1nu46pIQYQlBP1TL40YaIWSE/5/+kFDqf50UJiMdbn86KxhhzdMuDLKIUwOkDMCPJJx7Kk3ncDsToYSCKzNlg5mByfMcmRcWZpKRVMTpaw6cG0JTzCRJJZwMwivqUpom1EqEuXAKZAkCzYIJHUOXzDfgIaila9OWbNT+VMOhCY9i5RydxakgSqu7qoeoHxAEMS+hBAmpUAsQFUIyHxLJkjsllKZRjFIMSwS+plhjuFFto1TPXBErI8zsRLOyebmrDB3UERuYJecDtkQ4j4q0TP+BcWArqesyvJ4C4a3Ayj9JuKAllhZEE3Y0T5Riz1v+mCvl8V4uPlAix6lLiI+al2oAgsUCaQcwYCDAjVkEOkNS7RWWVhlTNlXMC8SiDxLlipUDGHlJUtDcO+A8wmtxZwYghBqPhQ3vM2akAP0YipuHfVQN3EtLdEzxbBMuWgPqmcIQKlyEoAcGYdVA6S2GpnMr2gLphTaRD/QmiGCQVUADwHOyZmXqOMPucl3T8YQwzoJj4L3BKzLQ4bysjzEy6sstKVzAHHxFljMmmVmMfNeH9oijEqjkKrP4lC3huY8HeIWVRMyvFSswtfbMJhfSFH+eE4GDUH2P6sx+R8SZ8LjwFjGJF9wFV3cApoSmCBrZG7rDLuoJRkgZiGuEBe4SBJ6odcsgvqHBAlDkv4lqf8AaJ2LNxAgdlKyyuWUSiDC9GHLK4Ye8elK9xr9AQckwk4hDiHjWUPGKcb8GUqspUr14LW4WObj84Yjb/syr1SlnYRfAXTpSlSVqpReAsZfPHaOkr/YdSmKwWMEFoSsahwSm2Mn22cSyanAzDzmU1CjNVy4HCv4iMyx9rEMauTMVU69ooyFeqgcsTtM6zGRynFR5mCLmU8H9F/oP2VCE02hDC4s1w/Dk+GIXUXwKdKxAhbQLWVoAwiUnzcosRlO8LUuviFI1Rfd6NrlvQ0X++9RVJYTQl/Iy5Z7lvpH/DDXj5RjFNUYr4VEsWKkP8QbqY5xjWWmMQZokaqYm5/KNUWIJlhMzdzecTRxgJIBD7BADnjkU4G2CVapQBajqwA8Jc53epumKIjBCkSjECyGEjM2wjTkoPjRHh5lSyX4qPjj+v8AiCABXUVLKBlecwbMWFLzkj3t456fEoHuVrUYGpd+o1oZYVKO3EZcK83j4miXJbDi7tVbhNJy1K3A4XmFZKkYFhq7sT25lM2wUsINSyHDb+oNdrJQITuT6lht+k0530VH6b4hE0/zLKnpcbmBS1+zMuPZ2olxI/oxK/cYZjjStdX/AIHlcRTtFhYKltYKqX1VmqshtmmfTH5ch6rQySmm1p/cXpEpZuYzNtRFessAK16qYsLLF8+I/wBMo/RDFjw8FIsLhzzBeKucHJeJOJhOIqY5uQPZog4XGJjuUbJSFzFVwwTaQZRBnAyAwMS4ssGWILliuJUHiyzMvUbW2MFLqQbCQuUqPW+J/AUgyopcpfZFy6gkzMRKoIMuXLjG5V9EVnY/jEOi9EwN6iCasWp8hiGFlYddVGZm2Jg/CXZxBwz6MDW/ZFFRa4gwkF37ghZVCGLsimImwTNfNhxhGRF6tttT1ECVRuU1xF4mZiG8wnv3qVdL37oIM6jubmm/mBAvco/UpTbHDU+pZ2fdR5lpgj+slfpf0KmNVA1abtg8ZjVxt6Yeoxbcq32bgJWDLBjZQB7bzMWlTuIWIXtvuAR53JVqNQGMMBtzBDebmL9M+thVLWKMLEx+ZggddxppTFS42XmVIK7ltHZmYtoMLUAwMxuiuH5JcKNIlw5luBuJrNTB6ozK24KRmA29g2kV4zaiG01iZSSVyuCRsi9L+YwnlGQH7j4JTUt4ipL4IjKAmpDcvEuWxFSr2iJ2n9uFdsyQLcR3d5JZvwYr1zOzDMbqAhq8xqNZlbabcT2luPsqxqZNxGVDmiQwFtrcXRLBgyWR8QWOyPUCMcRn5QUmo/L/AIDMYDEsNmMLTF9rLa/7AlEAbuGTmoDuFncorEgubNRDiIkX9Of1PkiCqtQ33zMQIWwyHRSwADitwUCIGlyXRb9S1YPs21ZgiooS0Y39kZjKLFzq5ZVW1yxmntBt1ChTlipN7gN5J1D14XGGFxFn5U0sGfciyrpSaYLh4GoLpGW7CO8Y703W1KyCjkYUUcMA3D+bXNgCWZnCXGQxwZdg2R+hvue4/My8bblwhEOgEWXAS7gwgYyNIfp1V7jNO/5VDozL8TJEO8ym7jIusiA6KSFEpbmRBJGhNkFgtXcZTGeI3sVgzTMBwDpio+2Snd6lDVKN7Q7iED5Qcs6zGrilFq0QEjv8cqJdZY/qYAu7lOFxLiXDL2Q3nNy14fuKxFi7+pjzBnOpaozt+I85YfqxL/S+SPmrOWMTAuwcaCiwGNbiHmlC8MR9Ebo3Tce4yscFf8xJiqOYqiL+wbfYcQbXcD3IkQQvLqIRxVSkDpjUVXIVoMRRiV+h4RgaZYXgRjMsgjBQxUO2pXUQ6htbDsl3LqikySkGu9cQbAj9GK5GfEim4Cty4xUdqkRrsYqDrPMUvchEaISXfMCmT2iQ1kSnBmuT4ZXvxpCBhSD78VoeFy/FZdel/BG7AflYG3OpgVVsUsIGl/ONxH4yy41py1/Ui3moLSsxN8xKPBkum3ouUAF7qDBQQmP7ckXlELsxFmwtTNWBsDg+I1jpQYNnOIstIXUbKi99fOcR7p8rgAQS5QIMjcLqH5lOWpduOMSytsPaouxNkDUUty/1VK/S/oR/7hBNKr1XVP41GXNF1uC5VRE5dGwXjuHwD0TMLXOLh33gDgON+4Ll/mAK/uUOnaQlhhILWMyzj+I8O4GH9WVbqYf0/FBAqX6zQWPwSQjfsEY1gE39ZrxC8QxA/MJVkImW7he3C4hSOll7rGFMkuKuAm04UGmoUW3cVJgr5yYaZEiRN+CD6aDOGK8E2ZYhyYvxjaCJksreKZ9sR+hWGw4RtiO1kbj4VFxBTDYzGgTJL8X4Lve3+FC2XdrjAhw60YOOOolUc6InbMspeSEuZmHSsNJjrMU0hExKjCfOFsqSYfU2EY2jO2NjCiWKhVfmN1k7ZIJeC3P6gxG7iNtvzDUpeKS7CPxF8RfWIKD3mxu4HPFwq4Yq9fBBXhhpGynMC4iKqpf7B+l8PknM93jb6JmGFhdg0C848F8xV66xBVHCldimYF33pS0aZSFHhqQ2VFEJKPqLd8fxAFypJiWr8QBqDvKFZ49QG55IR8+qZKDBOF/tFw+N5TwxKH0sxA/Lv9SpD1LTR/SQpKL0jNQoBlC/cxDJrPzzXN9wEJUpjziX8ZsYUIS1Boo3VOFnCgmbYslQguqoUFm00Zm3UG1bxR7CbGVRxLhvCGgGAvNRWIRQZeZceJabqx/KDSgGWiiClVI/olM20w3XUtgZY5kRoVK5IuNU4WOiong21uA5/WLhqfYjZKRzAqGpjXzAaEdJMaIVGovu1K+2Gpcu/E4krrK4+FUIrCoUXa/c0qoCql0/PMyibhbvMBuNWfiXzcoqn7j+1n9T5Nx1d20FbvollUEBYHouKoKZgWDMKcqHNi3hr+GU40rMM1bm2EkOM+KSHDw2HfEClGVYvqJoasmZXMPmKcH4jdE1hzBC0wrLjQxLMIWrgm6SV98dpBDBOP8AYm++Lyq+xMjT6jf7jaPsX+pQ0fV5p/q2gha+G5w1OjzXQP8A7cWMBl53CD7iT0k3Ajk1ie6mGjbRw6FbFbIhwIkSvoVCSAl8HgGEXHiXDovyVFOoOJsMcooXNApiPIiMl4tdk8c7aNThGMUJUK5YAHUU4vsg417hKy6Yo0X03qNOxxHwdwgq5d1HTHnW/A4MDn0XDelj35uNtmoVJuRN3UDiIasJaZRFkOYgwd5xAWBuv2uZf7JMjhFHFHfr0SqG26u9w0ZpgxSfMUjll79XBXEW1K1sXhjTCZXIvfuI6ysmcCFjwRAP5jFvmYo1ki7jRLqY1TEy6heqXxCv8yn6hMBFGsGGYrxT61Flc89Rm7YYBWCI4MQSlcM4GANTAsONaKtCZX4RSstnS/2h8J9d/wAR4H7dwqHvjZQCHTRcH+v9iFFHgOrDNpSD4JP9wZqE+GEMYqCU6I7ERzIYRQqHgUkslYgwZmceOw7H5CaOWYzzCVDMkviVEc1cVMxAAzDG7l8JLJbpo9McZlmYhWIXm0MLVV5Q2tDrMgzg5ErxPxjAYx6EK1maxGJRZSodjX95EBZrDXPqYt/FXuYbZTPDEpVsV8qg3bzKCFhFCh1LBw1LWUzj/wCk+GW/Zr9oWpetK+DUBT+7+a5cYBQUuwGGVjIA80e/iPtyFVmqt/MI4QWAbAuaWZqS/wBnhsp2Q+kBeiPOKuUqmMT1KYAcwhgbICyQ7OGKsVomFWzT5e7luV9yy41D5JR6zxK1ANYzKPaYFlx1OEQTRLSWlCPcEPDg1OpMJd/3HeTEdW34iGFH00ys+plTAUgbi+y/hlLQO/8AsS9b8wMrK9cxr/o4B38A3DqVQ7BJtFNUX4YCEDBmS8CCBKgm3V/ImMhrGaiaUpiqsY7ZBFgBeJtL9SyAUR3UWIFBqEuko1dxGARgVbm3XKOrdkcjvsjqIWWL6Ux/jgLEZoOMO/dmIxXhqlzIEkpExrMb+iH0Ag+izEXSyo3z1dx0GSoRdlMUduGFXlPlZpu4Kt3RDG6qURbpJRmZjG7/AMDvIvpCiD5HSR8djjQvxVWh0FO6gSRmt4PHwR9MAYaqNz4B+aHKzI451uHm6xeWYOr7mF3nEz1c00zaZl6VFuknBuYsqOZfw11HAETcR/wkE0jOHqKROkGhEWoLSo9UyjDAEgnObzGbCosXslyM1UYExccMy7uZ8QylnMcV3Fj0lwCqz4ije1GcCKLbPqOiydsG5AcUf5mLZ6v7IrXsFmuPggypPy4lFmuED/MtRT2f9I3WC7DK+oN6D5GkqKHbBKCE7yRuhEXxGqyEE532hbG4tvkXHr1ORUDbgZ4SlaW4ALkYFqpY4HRgtSEBWFTR1emLZ/YwirXu5iXrWIe5XphiiXyR9ftRGwnAzjiNzPvvJYCXjp+6mNGG5vmIt46hUozHqmplbnDUXjnvEsWL5ijb8Yi6NRUawdxT9BX7wRbzl8plAO2ogqbE3eDytwojQZVOZeZqMrKip0Mcy2nS4pQXVU9x5aHwMvzHDVQQDbELBcD1CKEox/MVaKzBKJeYPQwYQqFQf/yUHLMlr1PoN1CsQwt7g9vcy0VplZ3VTvZlwi1ZCeLioNMLlvg4kdg5GBEWqL9TOoI2R7JLdlcVxHm/wagihWeou2ViyXuSHqbtP1FmtCGRPqKHLbf+k00DFIf7RrD3FRnv5q3vCbBrD0/+rjoevAP+YsqzQJB48l38CGJ2zySIKue4itjKtyypkfMfDaitIWKE7aJIwgBYt8ETXYNxBBaqFL2hathgXKgXxOQlDVLY1IlGTvqZwoukjuN+I9h/DHpr+SUbd8RBKT3hh1ZS458olBl5NVLxcoq7qZA3UdcM0w4hgYuGf3xLLwkempzrTEEoi4il78P6Hzf66Rbf0VsFMgZYHOPzqOqeptYliJGciszFY9XdHwOOdQ9tO4fOnmErm2VJa2wM0y60134gqkriMwmWpgZalVWQHGaePAUhojCWRNzmbZUpaIZyKcxXdoiHQcxwpm7LDrPp+IRoqBhWFEfoSGmJfcMVypfMeobmAlZ6lHyhBxbLmMbfEQ2SoinZUu1m9RNw/E1pUtB4bTgN1ctiyNGuyWCBzqy5xNh2hEhj3slOaE0qwzOGI8QuJKySlqrg+dGXN2O6iW4RmYtZjeON7hZYL4iVgEseQTELcqxYZjI3AIsxXDMqabgBioC9Yg7aIeXsgGxSGEjNEQDE3MECgqAC0CqnvqOgoM1m4p19RbF6goHfFE5CBWCrIOsbWGA7/wDkb8rXRMXKJaLdeGo/ov8AYIv6VNFFwp56PxxAqtuW0HblTcmKg20aIZBuCwsQ5lFdcJc3111OSyYYOzF3LRLM7ghCMVGLKVg+YxvJm42ERbKuW9ZMMW8Jl1zEVN4lqOLmHtMm5YdzQS3u2DMy9sB4mfSGcjp5miXHxcfCnERThj4vqCjiOyCsy/xOMJTd3cur6zGiBaDMEXjRKRlgnKTA2/nEaAh5Ca6yxYPUu4OKrAo2qxP/AMYd1NIdySyt3Uq9J1fEGhdMRAsEqmmGbGksWDF2Q3xDNUigBUxtG5jFioItkU44cxWmnUKXLBwEOruYuMxlp0QoBdTA0sHDb4mN6aIwSfUVchFt5lId41EDiZrP1qZDoxUvbGNXFy+4OW7g0TaI33LIF0Qq5bv8nm4PgpL/AMJlxcUs8UwDoQB5g3niAzXy6IPwbIhKV4APgI9hWW+/beRlbq6r4iibw7zmFmuJa+JcS27gmbjOYG4xEG5Y0pbUc5lyiLrUVWdze9IepmVKdurgiqLHLHERMoHGRJSgxeY9baihuGcBbhxC7c/BJfHcaC88z0MaIywQ3EprXgjBh+4QvspilJcK36SLS9y5wKyxUq4e8P5mMPUvcSqWMoCKFNAEZxbddkpwG6eF1ZGB3VzMtQN1EyrMyDMKiU7jY7sRFhFA65xF2HBxB0DG/FJpSpcXHgID2RfRASjhxL3FLMW8wRT95wBKLWYA1EGmIcoqZ9j3KYFW7mxW5hUEKzLsvHhMxebuKyciDy1MM4xK5aO4oL6liz3UoZO46uKHV3E1jZxtluf+MFy2WyyWlwWFCcBpElFrnXYNtdMWoctVBGwlopiB3cSFkCauPatbimkVuG2N1FRTwX5iqw/iIYkmSlrAY1XMtpV1KutSp1HATmsFcRJSnUNGLgOVZgqnAwh4sn8yWNTZiMEVrMCOoDLxAv5qZYS9wGAZeawa6PgiAqiHg5lavUDSGc6iAe4GEsytEDGrMxYQBiiDcXMOG3AHxB4ftlzebADxLzJhhCXh+TE1wMlzrEvXF2RNEIDlNeIZmiqgBWJQFVG0CGCU9U9ylhGM0NiGIUBntqVq2gQGY39XSDSog4heofzEu+hxGM8/E/P3D0rohERpnOJdL17l1i4B8BuF2VzqJesBM0t1LqvcGWD/ACxiSFYc/k6i1lzBm3r08Rpcy0K9peZCKQyuN4Fly2CMjNA8YybMZlTSogZLctZCIqzXEb8SVd7Eslria0PWINhEeKppoZi8EJExiVepVikiC4UwSsiEoRVNEB2T5I8yzMildKldlB+hGMObeO1ZACj4mSK4lw78DHEACEEagKIJZcBauXXmO8zbBzkY9ax1DiqhU8Lo5h4ZgT8wFx1MdS4wafiU6z4NxslOhIhbC9kx0gqA7gqrTctlkUcSxsxDhXOoeSHUAAVUu76GYQMk2xFkdR8FX78EobxEIZijeUIz/cELO42Ne7lVxUHZTuDgFwWbf5irDNQWQt/5sBZaiCli7PMWrVa+y75CFhEsogoWVnU7s5gzkju/5qNY9UVwP3P9s5rmxEcv8zE2kWFLNOV/BKrS+bl6yd5gwFyTXtvcRhBnSf2RtKIIW/Vx4J7omLR9Q45SnKSpfoZpaWVP3UWNOzZFOIflb8ExdkSHuY1moPtgV51CjcF3GlMCszaltmlTDIwsWc4Fxc3iPTcyhz/LM95/mZXUz3F1KuOI+tRRv+Iho7mSLByRi7aqUWbIW6QjHBQFQ+kUNFZ3NYj3Hrdx1eBeaizAl7gu0S9TZHYQ9TfZO0SmbGP/AOpXCdEUpMsN01/ESnFe5QouI8jOU6i0VLodzM1VMBrmLbuC/wBHiuOzUVpwYmb8alsXCNykdr/MGpTDCJuO5A99GNddq7w32DyO+Jya8Sg3d2wYxawwu7iLaxF4zF5jFnETnETognCiGIMX+XKSvyzkaUJZ9y3j3B1dvCAe3W3mCfhGUyoSI3gWTEFfsmRwuDqPq7FG6sWrFlpeSmbcxzxr1cDpUBmOh8FC0Bi49kGg06vEKPGPedSeem5p1Om7ITYyzCHmVxG7uL3cCYlVy4emY6R7FamEFt6jdaxeiUiYQZLgrxmNa1OBOskUWheoiXTFEpSrqqlvbQQAhzuXBc6iOwb07lz2ieuoTccLCyOx4L/glKqDEsbz+Y40u4jRmC/gUuC6nJaShT3HpAKuLogAzX1AUZmZkjcP84ZhMTsEAVbr9shfuVOV5PQMkulYXioBqoBwOMxfMYotViZ59TV7iYqn3GrUwuOeo+uZ8I5jZjpcsM7CcuAtMBVpU/3niJ+FDxbpBwJHdswLUoCFJfuCfjmJR3TLkCstq4ptusQ+hlH3bEVqyxshPzoBInJbidTGSWGe6XuHkdQ3ajSTCkgcZlO0Fk177cFxBqKI5PBlRzrG4/Nwrx3+ZXcou2oBgQWOvDEs49ygKgCl2XgDMvS/iahhka1mHLT9xOlF+WEI2YDi5RHiYZexPTM6VsfSXhS9tQm9pT053FPtFComh8BMbzDsQw5joCwpyMcOxpg5KzNazgyy1k9H/wAElAUbIkVv5bj4YJASlFRpx8xqcNJ1A+9aiGaqY26IHF3M0tqacm5bgkHElalICsxy0xrN4uXeYmQls1qJY8BUJQ4XAtIjdkd7lW4PuPA4mETDwJDxXZcCNu6bIVkLM5IxgUXxHHRH38GaEL0SkrEZFLipwCVcRJj3pTyg1ESE5BpVRMU5GUU/AYgCFSyy2L13CmGJ7uU5jfO2UqlGcmN+LeSbBqHefzBrYwI4kNEoIZi1gVuKyOd8EV8JXasshqIkisXD8g7IbVxMjRHhmoD/ANja3rERruGxAHyIRyRWJpv+ZZGi4nGRD+bbKM3FFbxD1KATbVxaNQtHjFmsU/8AhVzDiXjkDfy06H2TBv6LgQrBGmDEs2HwR3YjMm5naYMgUKNvhW6uyL/2BZZEZl6ZhbuV9RqMtrxKqjBlKlBPlKy5mOsEEaxGClOFnzEqKdxMWQsMkuj9LmT67ME5ofNS41NJVOo3EQNEusrxNFxANVCCNJFayAG0l9/d0OPxC3MvOOGGKtwail4FmKUepXGX8TTmfxxHYRgtwbbVeoTRLRzdBlvPQYyHdCUgMbfayqNfZHmkbOp9gtxLiPEuqOJY5Kgk1jDbMLbKO16hyiAdVIx2lA8GrHiEkilnDCJtkKuAXYxLiuaxDZ/4RFYnErT/APSERH4NMJKiUEetWIdy/Fy5cuXLl+HshfuEbQUvdLF7mVRKsRL7SiVZ4GcVYDqb8VUZtUXzO0kzxJSuH7jI73mbAKz5pZXcvRE23TOFSx1qDdSkMsXKGco5lj9rhVj3RBxRobVNOL40fzDaQdI4ilFZjc339wiryLBOnuOptwvb8Rotfcp4KsZcUbJhkUazqVFXitXn2wpaZiHC2G4C85mWi4g9OpjUetQ5oWGT4ncxUP8AcQjQUPQqprEYbGEAIblYq9vaVYUJYeZloJb2TfB/4eTBdjHfKz4G4l/duXLl+Fw8B3S0PAE3CCkxFxXMFaSDclT4RuRPplbZnipk8fQmw1CyycBUQ7ja/wCwRbmNOJnxfiY2ZYYFhdv+Ilgldm4Ccu5yKIr54XXUdrMke1IKkudcHwRbdyvBIGyDJpnvQ1nKOlGpGiuQ7o/ExkNsZRbMVafZH2VAVuW4wXti/vZmrYWFGDuIFbAcoDc1F0TPV0QzJhlEIuul9D/4N+FmYiuYrBqmATp/iLlsIOBaw4k9kYfxEQ0HpiEoymGIhzUHmFkEK5gtVGxiZBZLGUHWYhE0YIRZVQ7kamarajfTE25lyeluII5vUTwURhejqY9rAuCvi4A4jDYajlSxbCk9ikRdMrdXHfERdQ2xit1FEwIMg6j2IyhAc53C0PfzABZw5gc4eITQZ9R5a40FzbUB5IQ4dRU7jIxs7BTHBGZ6yal5iuKb2x1bYK2U/wDhXFf01GLQdlP8cScQ0wnEoLf1D6zQEyoW7mGT1CjYjaOJNozyTB5l2iv+QIgKOvCGdEG01AJZLpJg7ZREHcMhDcUktpYSNRtZknIJ3uLw7Jlqo4qG4TJQstCMTI4IDe1c1HG2nhSEDkzFHSxrR1vGIpz/ABcxMWZXxEOGZHTKDMfuGRaEgv5i4LMr8HM7E1TCzVuUoUU+pWsViEIIlRjDKQagnVbcGfagF1BOlVsbwP6/LzX/AINwZjEhg6GVI/xxZaA8wJ3CiWRtKrabpfURLydQRa4O0Qhtrq+Isij5IkpZIC9wtxAGFyT3kuuvBRxCIQEz0a1D/qwlGqccW/iPpvkyWsVoW6IQgzW4leA4iwDg3Aukp7YAdiUdzNslrfES3gg/8qCkbaqV5a1ArWYtsCfFBpFyl8EHbtQzCdG1BeWPLlz5W4yvi4d0VMeNKmsJHCrfB2TKtKbV7Zf/AIlrgWJwqtw2JbEzofSxClfefY/5lsEQHTGMLw6vlUuAKJjwox2a/mWrZAmBeSCmpV1QP8QTdyvUoHMTRuCgiAjZu0TkVCFpDh1zY8bDbzUb7zIjrFoN3uVXZmbq467Y1HEq1MGa7H4IYn+yIhabYmTEDhi4D8GMR6TMxSK4zAC40XNXc3aAzK6Ljq5j+u2Ha+R+ivNf5deODgjg3OetWWFK0hecoaVLmhi+T/wL8WgfMWKV5DvUB0wpma8DGajqRTq4HUIRIWlvAjB485TBDpLw4j/MgdmK1R6wzDkGJQe5W9xFXUa3LGZxhYvQRq2ywSluKsVUBdZomJ3FLn8spFO4ntJkX6MxJjqqJXd+4mtjLH9knH7lSv8AJYkYo54t6dyiMFp+FKfcp+Bqcv8AhV/jXLYFph+YxRLIOeTFtWyhtTEhwfEosUIkJgm0wMJamSzGdkGyn4qcabFASlFkVyzlikio+zqL6olGe4tqjWf3B22D6fDRackd0fHbJxm0wafGp/aP8Gv8UhyhT02l6lAwYLztJNw7K8ly9MVcZpa5iGCVwTgihlfu1Elf4yYaKrhGmFb7FuYljMHcJoNsPTM1ThdZi2mM56fMWKS7IVxArtgoYOe8I4SM1fj9m42wUIoOZbKI2mNsp/aP/GIcocFjS4Gaoi+YcaNZYYX3BzFAM07gHVLF5xFcLtNaWIN4TWOLIGriSKQRkM0FJEBKcwa0EqV+m5cv9FSpUqVK/cE4lAikFwK8srESuYauLEpGxvxvMAlMyXwNNwXllRTCECqh6TCUuItqygjlC2M8ykxDr/UO/sh/g8/4pAYwpjyB9cw3aIY9zEVhgm0M74mXhgOVLdCuu5yWI6SGy3i82xZcUiiDUYIJU4neH3vohHEWeUCbdIc1BwLzqfcMT22X/UrzBpYY0KCcyoucBqDABXogNydQS1UQBBlSv03LmJiVKlSjwqV+kJVh7K38RzGfbuWDE3SuIjupcnEq9MQqNjKlwlUXMa8CXLl2QZZPuNItF78hcojhgGp1aqF/ZH/j2uUPntLE6WNakplvT8MAgw6D6fcqoUmvcz6N24Yw/wCGI2pFNxBRFZwDG7rQDSFITcYfUQUO7bCDXcl8+t8zckkLc8xpaWDTkSug5J1Au0gzqBQGJq0CIitGr/pgAt4V0Eu54zxZLJ29Wx7RNgliuJWwW8bWB7bXUMu9E3FEHofv4JXm/IRZL81KJUTnhBAZR1RMpElpiXUIwGiL7lEZZM1F9RhFly5zM14KlkGM5YtfmWxZfhVEtHcUGji2UqV+wC/+MOSXOp7JjmM82DT/AIXB+yVgSgdhmCkT5QFa/TT9JCxhOf8Apl8qsyo9awyPutzJrrNRBkBQmFLnsMOtS03Ubvpp1DhVw9C39pQyVc77JRMUJyTYOyGj52TMJiu1iGZsSnEuG21igrL5W4nLPzqxI+cWjBLNF/b1HGwBg2+4kfxvdhAaWLB/qJXNx+wuXLizEWOD7BKDhUNKipl5kh3wo3NJZCVYpGosuIRriYnMv3LiJZgVUYWL+jaN5RVNyzFR11MjjxZMUOJaWnHTYf8AjEwTlIJuMK0EAtAHdlwAAOBKaCetJFKUzC7JXWyPTrDTJFFyqtbIqog4zVkY4I3JvIyfDFC9bC4eA+KMLgPSUBMDYO6gyVMiMIXFA26I8DtV5opRQLeLgtgndPRGaVaWzE08PVTqNqpVHQ1F/Z50THali5zBZCAKOogQay7Efmymslx1aLtwRb/cuXLS/wBFy5fhaWl+4PxJrAykrLQlxjn9RuKhHUsj6xNxLxH0j4bOJb1KJR/lYZalGMXb+8LSX2u6C5je5UDS+phds4WUG71j/wDMDQp0aMUEwOdkQFuetMDSgcsXAewlm/lNwQLzWnDBghHYxEO0zL3owhDdHEfJHxd+H/MGfYpUjfUvFEwXuwOWOTgQ3EnbZptTyShMvtiYqzpy+TbwGQAtHhJM26XzEbHZUVcTU1qWsZUqV/jXL/Rf6MS/D+rcsbYaEBREQYQ1MRDfiDHrxBKB/wAhP30HEO0UZnRp9GFzEcZfhiwxa6cXBZxV8zg0zKxl89QULJTj/kDMvbFagsH1UxYMIIiuqiowC/mIWOFGUj7bsTfsQDdK5NVCaw0qSvHOFCXkspNmXNfKuCts2OlgRlRoxfDTztO2OpjKkIhtE9EvG6E/BMju0Eb4aXE7Xh2vgY8Qo/ef36lfrZeoHhYktqKwdQ8YWBAmYQSKj/Jf3KgRjBcN1JdJc24h1AAwRSEHnOdxZX1tkgYG7Yv9Pgq2LqwTUG2UdO4YhWw6YwC8EZKeh3L8x7dS5J7nEuZsS9IxWYa7kSNek6mfCpBMHteBdEzALWJ4bKuYC5wNOElezWFB2rwEqMktfTctdsYLoZVB1RgI3lL/ABKOYCW9g4OyLjXgJ3K1FXKBvOh7cMxS5oYe0kFDG6wZ+Y4VRD3+GUjkm3hUp/XX6KlfsV4P0P6QWczDgQeoc6lbjZAq5dVNtQ1Bg4xKahTK5l2f+HUewM32ITYsWSiXltifMZOgJ/slG7aZZAobXxEWis7CYFXvcCz0wRKzAWEdGAMwtqDnhLW7XBouJxeU+TUKjNy/12Y2X4lDU24IkN3AtvgVqgr8SkdVoYxL4ZFDoPll+M9JdddCCXraxXbo6IyDM/uLqcrCVzCAGjCNGO3E1o7jkfSC2wLTi/i4JCSkoZQvhU2ypUr9FSpUdwP2QlRISvD+lHcq4iELzA9xIT6lZzqHHgpcSpYlsVuCwyFT6/yRj+vQRTWwFYhuiAHAQo5ZWN8xW5xOcoB73E4NxaxTLYgQO6lCBoArmVp994GJK6cDBD40S9xrJUcYS47ay/6xBxWOXtxEhFq5jcNNWeKh88CazGloZC/+SVPDrCCZutsu7QDNyzbj5ityHu4nasULPcrRn+iYYkYXk6JoeMVyTWb6Mn3OMG5AIERqvCWLuUyozMzNymr8H7IQcx83+gTDhAF+CDJBhuZrcrMHETwDz44humFQln/z/OExmdeBb1MBmuTUbRXRiZHfgYBpGMLQumGYjRQ4fE0UejZLIWcmY0AAzeIr8lvCItHVolFmCZc3FwAzbECg3jPo5im9GQhU9qtiWDYTve+CGYglKw+JXtRstvzDuWBFv+hLacBz3GJxEWQEjCBEiqamhmVA+SJgCK63E23EcXF4aRIs/mkZqZIpZwwS/vCLlx3hYlsVx4awdwIgfBV/YPFy/wBVkAMAuCAyoIDWSFUSsQrEdQvudQ48GiBmBLw4IYQP8xUJSb7lbqGLOPHZ/EbFmZzR34byqEKRkIK7HJ+SI41K/Qyq0RF9y0JklXxCKixuDgXmJrQoiKyG0pmY3ENGCZvFfg3AtojR8Zyyt0AwYWCo00RFiD3eYVLNaIdFfbBQwDnNQ0qU8kR9RzAEVYblZnn1Uu0SDqEsRQo69xZlH0MD48GaYNosAG33Gw3USls4dssKA+gi3Ua+UKOfFZSrziMj+yftD41DcPBABAjcNS7YS64gcyoGbZbIzcMVZAME2/yzwb8Nvqbfcbc2/E0PgmBCfhcILHj4jbjrzL+iDoqSHpehx+JgMxzNxtbZw/MSReLjfrCaGJbgFQ4JbZ4NPmMHJSaYScjgI9Krcz+GXdLYATSse8Lq4jO0LjoeagQUMbISidCHJWEQd1QAlSQMsVDwo6YWNFu4FxBQ0gfJE6str5pIr4DqErP7B5f2TwwWDKBTiAZ+PBUn/k2Dhn8iOvDJXMjFRfLE0TmHMJf5Zyn/xAA9EQABAwIEAgcFBgUFAQEAAAABAAIRAyEEEBIxQVETIjAyYXGBBRQgUpEjM0BCcoIGUFNisRUkNEOhwZL/2gAIAQIBAT8Ar7hPlV/uysR3ynORyondSMwgYRcmEFzfNM7oRTtgnQCEE4mESpQEhCIydsvyokEKW3nIIIZYnuoWTXjkggeSAKamlMCYsX32+SBRKKnIdpUDpMhOKr9wqu46inQUUVRyBUoHK6Z32+YTO6FZCITiJummyMQjkySUTCCdEZP03UnKUDniD1VKbCCEICMmiAmJm6xRAqDyRQghBFXynIdhKqVGPNk66qjqqu2hrKGHwzhusZQpU9OlFohMAHBWQOQhWyZZ7fMJkaQgJVg0p+6bdFpW53Wm9rpocOCHnk/ulDYIpwJFgTkEM8Sdsmgc0ECE0yggmBMWJjpT5BE3WordeqB8UQoHZ4a4cnKqCWqth3arFFlXUQGzCrE8cgUSohDZBSMmxqCZGkStQTiyEQmBQJTqcldF4oMcNigIXFVe4m90LUE/UB3swc8U7rK6Ec7oZN8k3cIJm4TFir1TCsiSXK+pAwV1Sh55AeHZYY2cjxVcwwqtiaoe6HFNxlRuxVWqX3KKbGUBA5CEITe83zCpxpCARaZT5BCp9346vdVPuBaRKIBCNKSUaTkKbuSLS1RZV++gCmhDJqAuhKZuExV/vnIi6IEi6Ormg0rhyQGU+HZNw5pb8U8Kv3Sq5+0KOY7yG6lQVKCumXcPNMjSLZaHzsntJsVR7vx1p0eqpT0Y+J7RcxdXATyS8oShM5BNjgmi6G4TLkJirfev80SJQaCN0QvRRK2ChxG6E9lXcCQnFV+4ViO+UUTlxz4IbIb5CxCYeoPJDcJlMvbIeBeIiV0D/maUadUcGfVRV+T6FRU/pu/8UP8Akd9Ff5Xf/krU0bmFrZ8wTmh43TW6WgfG4QHJ5GsoFA3BAQQumgoTKaCmC4VNVvvX+asXId5AjUgDK0nmodzytPZVEVX7pVeNZyIygkptKqTam76Loqv9N30UOG7SEFugm95qp3aEN0y9M3I6xQdEXWsc1IT3uAsJQrvCGKqBDGO2hGu07safRasOd6Lfoh7p/SjyK0YM8HD9xQoYXhUeF7tQO1c+oXug4V2/Re51OFRhXueJ5MP7kcJiIvTn1C9zp1ZinsbwUfZ7R/1v+hRwVMHche6tO1Re6Gd10FQFCk/iFfkUxwBEpj2cCFUP2j/MorSSboWCieJWqEHDtKm2Vc2KxB67ssP7NxFWDGlvMqn7NwjN5efGwTG0mCGsa3yCYWHgppkwnUaZ4Kt7Lou7ohVfZzmxBunMewkEbJm4VMN6MIuAIuqf3f7nZSU55AU+Ckclqapata1rX4rWta1oPQqeJQqu+ZCu/wCZM0NMtaBeUMVVQxb+QXvDTuwFdJhTvQb9FpwRImlHOJC6DBH5h6le6YQ/9zh9EcBSLgBX+oTmBtUgXh0T5J/fd5lElEnkgSRmAAh2dQFPVY2Kr993msJRosgubL+R2ahVLrIQiwIUynMAiF0jgm1GlODXLF4cOBgXRpljlRnowvaEl+GA/qtVL7oebv8AKKOUKCroyiPAKPDL1KtzzkoOWpStSLjzTZ3OyDnyZjey1O5cUK4sIPehB6bVYXC/5oVO7p8SU4y93mUU0i6BJCCMgdq8p5VbulU6Tn4jbxTCTW0gbIMgJtJy0kImAgZ4JxHNPaT+VbFaS9ir0YJndUmzTEKrS1VKcjuulUh9k31ULSoyMc4Xqrq6kr0+CyEQgAgBkArKpRe+rTeajg1n5QbEqBzzCZuFQuKZ8JRNz55OmQgHKPH4b9iXJ7lVjSmYovZT0CDVJHkAsPQAUCdsiVANypRaCcnMaRsqKxFHpGQN+CogsZcQiSXhUvuWZlFXX7Qo/tVhwIUoeeRBysghkEFqKkngoHLMJqw+1P8ATkEMhOc9mcYjjAqVTpW1PAR9V7GovLw92zGkN9SqcRkTCHxF7dEhYWqXBzSbgpzTATI1KkPsWeWZytKtzKtzV+a6y63JftVuSt4q3MqMwEEED8ACdIY4/wBpVG0cg1DLUF/qeFNUs1GWm6a4OAcFPh2riUSVgWf7Jx21al7EqPe2p8rOqFTbDewBJ4Qq0aU54pOa6LSngGkqe6pD7Gn+kKCiEcr8wpKM8lH9q6qtzXqvXK6HwDbIEZBDKr9zU/QU2BPkUMq7g2k48hK/hygMRiXOLoiVT9n1Y6sFe4VgetRMeSdgaZ2JCdgqgFiCnMe3dq6Rk7hAg7HsCUVg/wDhM8ivYDAwV2u36Z0j0HZPbqEKvRfoB064IMJt2kJgguVP7qn+kZFEKF6r9wUHwUHkutyKPwQPhE5DMIKr9xV/ShEOnln7UdpwNc/2Ffwg3rvKYSAIKZiKjR3l7zPeaCtWGdu0jyTsHhXd2sR4OCq+xazrt0P8iqnsh9OZoPb5BHDVAbVD6rRWbvBHxORWGYfdKYBg6Qg/3L2vXaJJqdYNnncqm8vYD2F5zbeyI6z5TO4zyGZRldZX+VftVlbmvVQfBQfBQeS9CrZAFRkAChGYQVc/7d/7R9Sj3XeWft15bgH33LR/6v4ToPgv4JqJUoPhaig9w2KZjK7dnle+CoIqUWP8SLrHMwnRAso6CTe8j4ocdgSugrG/Rv8AoVSEUmfpC9vezXVwyrTB1s5cVgXVDQaXNLTGx7OjAJKrWc79KGzfIIlalKlWVvmV/mV+avyC/aob8pUt5lfuUHmFLlf5Vb5UI8V6lQeYUO5BDIBDdV/+O79bP8p3dd5KFC/iKThqbQN3hewMN0WBZzKCIUfCAse+GMHn8QYzkO3p7lYi+v8AQVwHkMzC6uceCgcsvVSeYUqPBaRyUt5nKDyQBybKvOYTViD9iBzeFXqPDyAUa2ICGLqcQqdEYmpTkbOBTKekQFBRWpHOCEF7QMvA5AfhWd5VXSankjmTnbKTkc4V1fKByUjmV+5AO8FfkhkMsT3Kf6//AIVVYC6V0QXu8rCUiyq2chCIUeKjL0yC9oVmNrukoV6R/Mg9vMK3bEgBNcHbZ6g2Sgeo+dyEcznbn8eqE48rhBEZAHJqACGQRWI7tL9R/wAKp3sg66wwl/kMgiTlrupQOQ3WMpGrUcYm5RwwH5UMM4XBIXR1h+ZTXkQ5dJVHZkgBPqONpsqbiCjiAOCre0G03AaZnxReXsBQHUcjmcr811kfJQOStzQ81fKfBalIQJUlSECpQKGV8q5vS8nf/FXd1015UrBizj5ZAhar2KMyjCjwTZy1QCeQWFtT9UQw7tCNDDH8gRwWHdwITvZ1I7OK/wBMHB47OqOpkyFVeGtLinVDUqFxVL7sJp6p8wnb5k5eoUX2XqVfmrr0VuSsvVQVf4Btk3MZV+/T/S5VTNQqUx0hYQfZZStJyuuKGVUxRqHwKpOhgQceaD4QehUWvs6xhhTiBEmFIDSViPeKro6N0BdFUa67SqP3bVTbLT6I1xN6Tx6SjiKMXJHm0hCrSdtUb9VBUFebVZT/AHKfFAqGfMjT8QtD0WP+VaSOCE8yrr6L0UhS3mEEEM6/3jf0BPPXKCp99YZzOjAmCiIUWRRUhDdDdC6xRig7xICbsFGWtB4RcOzxLoaEamxJ9FQ6xbIQaBwWLa1MjSEHEIVXo1yN109J27Qh7rwYB5LTS4PcP3FAO4Vz6gL/AHHzMPopq8abT5OWrnSePoVrpc3DzaUHUjtVb9VpcuuOa6R44o1HEKVqQynxQ81bkEDb4K/3p/Q1aHueYC6KpMRCp4cgygZCbVqN2cU3Fu/M0FCvRdxjzQDTstKgJsIWWNP2bfEoGFqdzWt3NCpzXSNRIOzo7PFU6z4DRZaXsMEKgAHC/BAm8iFi9vRUidIzItunMIQsV191TneUCVrcOK6V3NCs5dKw7tWjDH8oHlZdAPyvePWUKdcD76fMAqMQP6bvSFNQb0fo5axxp1B6T/hdLR/qR5iE0g917T5FQ7KU02TTkFX+8f5Af+Kix8kz8Tm8QYKdVxDDYJnthzXQ9v1VL2hhqngmGm+7XAoNuseY0DwKkqVIzkdpUph48UWlrkNljFSPUGQT36QE55dugJ2KlwsVrEQE4kDupoBv8NF0tjlninVWkEOgJuKe2mSboe0DxYvecK/vUx6hB2FOxLfIkIcNOId5GCvtuD2O82oPrjek0+Tl03Om8fQ/4XvNHi6PMELpqcSDq8AiZeXRBPYvo03i7QU7BMjqmF0eLp90yqXtHF0+8CquLNbrRHBNeQEKh80XG1kHG8kJrw5ON+/Ha47pWU+kYbtVHGA4dr3cVUqmqZiyonq5ACFXszIGCLKA5CkAUKZPeJTGBuyhRmx2lwOdVgewhV2dG2CbkoE8oyMIecIViNiU2vWjcqliKrjAEq53QJCDwvXstIlOhPdJ2jMIb2EoEA8k5zTw7UgEEEIYOgGaYkck6jTLNOkAIM0EhNDYPNNaSnUSbGE9jGboVqM7IV6crpmc0KjDxCBHP4JGVOoNME7IOB2OWOpvJBAkINIMwVKlSmAERF1SwnF30QAAgDOFF01zhvdax5dg6qAU57pU/AJyBHKVR2PbuY1wuE1jmHuypqcGgIdJ5lPouqOARwAiyOAcvda4RpVhuEW1BwQfWHNDEORrnmF7wumHIoVGHimMc64KawN4klObIhPw45SjhhyRwjF7m2d1SpsYLC+coImyCJvdFwjYlHQACJCFQcSg9p45SjUA3XSE8UHA2BWg8+wY3SPwBEhMD5Oo24IiRunNOk3JWna+RmLDLS3kEaVM7tCOHpHgnYKkU7AcnJ2CqjYo4aoN5UvbEAhDE1m8ShjXjcAoY5nFqNek68rXPFCXECV0Q5ldGIsU4louE2o12xQujZWR8VqgLUTuVLQImUGgd0epRe4WlF7uaIlGmLGU4EOsmViN0IiyjKm1z3EAKI/CFoJmO2LGncBOw9J35U7B0yF7k8bFHDVWcEGvBu1UdcyJsE2ve4XTt5FdMzkU5tKZbYrVXB2BCp1C4LUi4nitrhFzuaHkiHRMwujLhujSeE1jjwREJ4lqexwkLDVXB5aTkGyqZFN/mqzBMj+SEwEMi0cggAOCe6igaB4EItZweiAOIK2CsCCCgWncIwg0usoLSg6OCqOe4QDCZTc0zqKbU5iMqjGokDdPLDcOWkCq0oU5AUEEKo3ZAGIKIunOfNhb8fU6T8sIPrcWJpkTBHwHVFjCMo02kybp1AE2RovCMyn13B5G0IPeR3lqd8xTarwhiHBe8A7oPBQqcAVKDk15m6qXNiqgfO0pznC6Nc6gVRJNJh5hQM3wLlF+OqGaLGBnAvmT42/CMr03uLQbgxH4erh2u4Ap+FE9UwU5tVu7beCDhmAQOKaTMEwQjUPOUHgDeVrCbVCNVqeGv4JuBL3oCAB+JxYezEuc06bysNXFWk1034+f4UsaSjrAtde90zW0OYQUGB1wSqmEB4eoTqNRu3WCBaTB6p8UbabokHxQWlzXWCDHvvCGFeUMJzcm4dgTWhosPxWMDTUI5hYFzqWKDTs/MEH8IabCZIvmabSqmHDhtKp4am0bFHD0yhRYOCDG8hkcw9p/FYxgNZsk32TqcFjxu1B1SNghUcN2rU3TDUbABOJsAbq9kSdQAUiYm6m8dm5wa0kmAFSeXiZBHCMr/wAnxjXmCBfgqTap7xCGRAQc4eIXSji0rpKfNB0jcJt5KplgkyJlMFp5poIFzKe9rRdA1HnkPjIBBBEgpjGMbDRA/lLxLUAPgugiEBTm4C6Lk4gI0ncwvtA2A1TV4EpjGzcycnvYwS5wA8U17HCWkEfy51Vg4p1fgEPgkokQi4q5VEuiCF7RaTTbLiGzeFhcaymY1dVV8XUrVNLCQwbxxQpmkdTHHUj7QrgAdGZ5rDVKlQFtWDKeBRf1X6VRqB7B+Ev+GLwE6q7gn1XEcQU0KFSNkMiQiVumsc5NpNGXtCpqZoCp0JtCp02sbGWlsXTKgYDDbp9AVH6nSSqdGowjTZNqWugfxEA9u7ZFVIgWWklsygMm2KJhSSjKa0EptMDOprDXHUq1Qh5THQQUwyAhCJlAiULBUYdzTdGtzdKgZkEkfgzMIbZf/8QAPhEAAQMCBAIHBwIGAAYDAAAAAQACEQMhBBASMUFRBRMgImFxgRQwMjNAQpFSoQYjcoKSsRUkNFBTc0Nisv/aAAgBAwEBPwCgLlUlh/mt81hD/LEpgHNNBlA+CxQu0ozmQFxRJVW1J3kn/EUMmhOsUMiMibolN3R3QmyCgZWRywUagiQQp4Ip2RIhOTk5MUoSpHJSpPNeORU5ntUDZMWH+YFh2A02wmSECU3ZYnduRUFOBQCCrWpO/pKf8RUq0IbWTjdAlDK5MhFxyZuuKYSUMoyOWDkuCMhFFElGU4J8pxgJxJTNsiRwU5395h2kSmyEyZELDOxIYLlOxWNabLo3EYiqH9ZaNk1zhxVQyQiFARlElScqgmk/+kp/xFDIHwRyaiXXspcM2fEjuUwgKIO+RmcjOWBBlGdN0UbJ5CKcbJ+6eU4JuQPYtlB90xMCpENcCsPjWhgmy63D6GlzwJWHDPt5KFUmV6qAUWwiM6ny3eRT/iKGTBIVTdAgLU1awg4BOIOVP4k/4jk34p7DkAFgAA1OIgQUdkWjmiAingpwhO3Tt03ZWVlZGTlCj3dM3TFRALxKw2CoOpNloTujcO/gsPQFKwKgSqg2UZGEWiMiFUH8p3kU+NRQQTAqm/bogF6qfGcgU15C1yrDjnhW/wApqLYRKdM+CdHDJyfCfunbpm3agRlHYjtUnSUxYf5gWEB6oJqCCeO76o2UKQoRChVT3H+RTh3zkHN5phB5Kt8W/bo/Gqvxns6ymuJKKo/Jb5BEWlEAlFzUQjsnCE/dOKcU2Iyt2IPZjt0GkICyw/xhYT5TUEMjGlHZAhblOF0cnxpd5J3xFO2Rc4zEWMIPrc2/uEH1T9rf8lNT9H4K6xw3pO/ZdcOLXD0RxNIcT+ChiaH/AJG+pQrUTtUb+VSqhpndOfqcT2m77qBKoiaTfJEIiyiTwTjKdsiU83TjJR3Tdhmd8xKPu6SasOO+1YT5YyByLgGp9fDixqsH9wQxGG4Vmf5BNex2zgfIynIoKr8t3kU8EPKdsVRdDH2F3FBsAiZyumNBN7IsCNIeKNAc17O3wPojhaf6WfheyRsI8iQupqDZz/8AMrTiB97/ANitWJH3uPm0LrsUPuafNpQxOIG4YfyF7VU/8Y/yTcUZ+W70ITsbi8OGhwqNBEiRKHTVTi8+rCh0zzez1sh0o0/oPkUOkAfs/de2sP2kL2mmU6rTPFOLeaJTdh2ZVveUgmqiIe1YURSZ5ZYvpfC0DAOt3IKt0zjalmxTHhcqpVrVDL6jneZTg6VD43Taz2mxKo9L4lm7tQ8VQ6ZBJ1hUqtOo0FpmVVEtd5KoCHlFri02Ko/Af63ZWTWglECYgqArRuvVQo8FC0qFChQtA/SF1TZnSqtR9WNZJgQF1LPFdSP1FHDtI4HzC9kbOzfwvZnDj+HELqaw2c//AClRiR9zvwCg/EDj+Wqi8VGNdEb/ALGMoJCg5GMwfBACFCGVu1TTVRs4LD2ptvwWPxlaoXNY+GbW3ciwA7IqUXIGVpBRplBxasFin03C9uSbiW1Ke94VQkvK6NcBSxxIk+zv3VL5f9zv9q2V1KlTkY5BWQjmV6q+Vs4UKFCGjVBhVR8GgTfvTaAg3mOK9lfE+EqPFGAQJuTZYS1BnqfyZzleqhEHIEBEqe2cmBNCoNOsKvWFPB/FBNk+RTJJTnSUXhSgZRgBDZA5F2l4WGr23sqo75VOqadGtH3tgql8oeZ7Jjnlfmr5eiA7I7EhN0CTpEnjkVeMisHPstEzuwHK6hQvXKc4PuWtTQqJIcFWw3V1KpqG1Jo9SVXrainHurggtrBHZTAQKa66eJCw1bq6oJ2O6qEF5ITyOrKo/Jb2v7VA/SrBSECozHZlTlpCtm4ww+RWEA9noCY7jf8ASIQWnIWRlRbOPcjo9DAFV6fUvpg7kz+F0/iWEOY0Xe8F3oE6UUBJRMIFSJUqU0yEJ8FWp6SCNiqRuVUJ0qj8in5dkwrc16q6ur8lA5IAKPEqDz7ACsoUBDsV7UKp5McqLYYwcmhEIbqSj0PjxhmVzThj/hJKLSwkEZS1GPdtag0LpOpPSLB+nSF/ENEUqtOfiqS8+Se6TkLNym2QCAvzQhNB5yqdI1QWcTsmSHhVhDVRjqWf0jtXXorckYXqr81fsnIoZDfMLGGMLW/9bk0SQirQqZJIHNfxI80+jaVIbS0f4hVKsFCu39SFWQg9vFNhxsQupq/pKII4ZR2mq0LHk+31P6gv4kqa62GePh9nZBy2RJ7LXAIulNIi8AFYaswPgv0WIDuUjKqZaCqfymf0jIZ8d16hX8Ffkr8j24zOfHsYz/pqg5iFTF8+jmF+OwzedRo/dfxS4nDsINpJT7laGk7IUwCu+OKDn8pTcS5hs5zU3H1iINQOHjdCvRjvUh6GEXUHDu6gfG/YOTUAsW9pxtYkSNRTqJxnRGGqSGhktJj9NgniHbJxk9kRNyiPFAtA7FQ/yfRM+WzyGUIZXXorclZW5qPFQfBX5L0ykKfHsWyhDKQsWf5Pm9g/LgmTeEFZdBsLukqRj4Q534Erp+uPYqbCe8rygFCIWnLQw8EaXJzh6qkHg3dPa1Mbu4BDE4cb1m/lVjNV5mZcV0H0kKM0aju448eCxjWtrOAcCJ3HbCcc3G4T/lO8imjuM8hlBV4ysrc16q8L0X9qsrc0PNXXeXooB4IheqhyuhlIVlio6tg51af+1SG+RX8J0g/pGof0UXEL+JMQH9IVGtiGQLZBSgcwiSSmCT2i95MkqT74p/yn+RQ2b5BDZAIqLBEkKfBSF3VbmvVeqJdyXm1DTyXd5leqvKKkIErUpQygLEf/ABDnVH7CVhhT0GeJQw2GI3TsJT/UhVOFnSbkEJ79RUhA32yhSIQUqVT3P0MdmqIonyK4DyCGUqQjujlCiFBXpkXNCD281KsobyUeJXqhI4hGeShCFJjLEXq4f/2H/wDJVFstXeHFdYR9yxDyTlaUJ55AgDIFEkppVGm5+wTqNUbsKLXDh74BC9k5sHOJssUAKZA5FcB5BAolDZGcpCtzHZKLQtEeIUJpYFqHPOysMhsrLYqrevQ83H9lhgS1Fqc3wVb4swFOQgojPD1xTCGLnihiRyCFaid2go+zn7V1VD3bJTWyVUod03QwzjFwsP0U+s1x1xHgupFN0TJWMjQUUDleM7r0VuSsvVd7gVdSeSkLulaGrQix3gg1yAdHxHIwrqQiql8VR8GPP7hYUdzZOa0ZVvjOYhFCY3UBWCCmFVEld4IPqDiV19UcV7XVXtj+Xu6XxJjTpTx3FSoue9jQblMpNpUA1qe0F5krGEafUIodiFHgo81fmrr0VuSsvVXygclCHn2CgifBEp18YzwpO/chYY/ygi1OEBPuTmAoQkFWnZEZAItk7otUBQFpQb7uiO+rp12tHisJUwVFurrBJQxVCowljwVV+YVim6rI1xxpuXX0eJI8whUpHZ4VjsQtJUHkrclbmo8Vdan/AKF1ngUKjOa1MPEKGqPEq/NX8Ffkp8ECEEUEchJxbvCm39yVQH8oLSE6zHogycwVK3K2RIVwm7ogjKAiwIsQA4n3eFZLymi6xLoapc5YQnmnhOpFxujRavZhwcjhCeRRwQ/QPSyOGeNtQ9SiysNnuWquPuafRdbW4safVddzpOXW0v8A7DzCFSidqgQHiEWeCNJvFqDGgr1V+auvRSFZQOSJU50/+sq/0Ux/tU6tNjBqKdWpFshyqYgOBEBOYQoCIUHlCvOylAhHJo7wTmSg0ckWoNmUAT7zC1aLJ1EpvVuEtIKxB1CEWtAsVhBJTgi68Srl14yBUlSjEbIsYeCNCmeCOFbzRwpmxRwjjwBTsHH2BCmwfc8HzR1j4apPmFqrc2n0hda/jSHoUK7ONN49J/0uuofqjzsgWHZ4K0lQVCjsUBOJrHxaPwFXqsLQIU5SYhajEIaD4JoPgUKVF25LUcC8/A4OT6FVnxMIRarqlJeMoRErRexhFrkGHw95SrOpmye8OiE8QSsHCfATiyZReZTAXIUTN11YCLVdDMQ08bo7IiQqzIdng6dGoYcE/A0+uDAU7op32vVTomoN2NKd0dUb9jh5Eo0azfveFOJH3NPm1dbV402nyK64caTx+6FajxcR5ghAtO1/JMPV69pcZOdozkoEjYoVHJleDYkJmNqcYcEThqnxN0p+FpfZUHkUyi5r05shFndQAjdQcjI970e2lUrCm+07FVMI72h1MC4KoYYU7E35KsBIToyoWKLiGSBKjWwkrXEgLW/wXW8gtR5LU7kjUAK1yLFAuVRktOdKoWPBWEf1tefBARaU8XuUY5otadwE7D0T9gTsHhiYVXB0gTDkyiweKdSDuKNJ7UfLIHwykDgrRlbNtR+VJh3nJw2UDki8LSVHiFB94CQQQYIRxlfrNcgO5pteoH6i4ko1KbhKJybUjYplatUMNgJ2HxcXKGFrDgure0/Co8FLVITmuQa2JkqABMrXLE9hJkItIy6Nq02uIKc9hFiCr5FOeBuU+sDsnb7oAIlTdHQbFOoNixRpvHbDOaDUAIVEqysj5oxNynD8LQ0qoPfteWqxEyoZzRGyo1zSkhslDpTmxDpOieBCGOwrt3IVsM4WcFooHaF7PRmwRwjCvYR+pPwb4sqmGqgCGp1J4+0pzg1Ofq4JpIKFV3ihiqo+5DHVhxX/ABF0fCCnVWvM6sii7IBGAhtAVwVp1o0ZNk6m9vDJrCUynwaF1HElODm7K5VJ14Wp0IouiBCvxU3RMbBOeCPoGvLUHNiwQeITX81qESUTblKaGzcrSJsVLwd0K1Zv3FNxuJHFM6Rr8gUzpQcWpnSVA72TcVQd9wRp4Z+4aU7o7Du2sndGN4PR6PrAyBKNGqN2lQVC608k2u9qZVa+ydTdlAKueC7oCaCU0QiHzshYp4ZOygpri3ZCs7iE0gp9LkmmHXCcu84xCIaxtxCsVK1OP0QcQE0sgzN07TNlJUmMusH6RkKgiCFI7Ie8bOKbi67fvTOkqo3AKHSVM7tITcXh3feERSdyKxdKi1ogQSjSauq8V1fimPqAQTITDQi7jJ5p7Wg/EiwIBhChiDAnENsUagJgI24IPZzRicmPhU33Cq02wHLUhV0M7oVZxq0/JUn2hArUP+xADiVFMiy6tyio24dHqnOe6JJKZMXKAdO+UKMpcNihU5hFzJmUXtTpPFMDWmU6sCIhPA3GVO6DHFMDwbrVNMo1bwVScHNcmVW95PcdVlRcXDxTGUgO8b/X0hSJh5IRpUPtqpzYO4OUlB7gg8hF7SbhBzQLKVrat1RwgfSDxDvBOpU220R5rqaUcE+gAjQELqnIsI4KFBRaSvRMMQqdRhiUymx43XsUiyrCKrxyJCDiNjkQsMS0m1+CDcBTAFetUL9yKYBDfAk8fpKmGrU2NeW91wBB+hAB4wiIzueCl45plQgyHQUzHPiKjQ8fgppw9T5byDyKqUntPeHYLWzsi2SjT5KAuqstDlSqPYRBX/FSxm0lEySfqcE6nUwbGOgw2CFisO6hWcw+h5j6QEhCo5Sw8IQwdf2frQ4FkouiJVLGVWWDtQ5G4Ta2GqRM03fkJ9Go0F1nN5tWpp4qZFinHSEHiE58cQUa7IRxCNd6LifqujSRSDuRXSlFlXB9aPiZCgxKgxKLSAFB+jbUe0EBxg5SRsUHlUsQ9hlri1VsS97pMIVnhGs8rW7mt0GgbooCSix31XR7/wDlnloEAQUKocxzODxCfRcTuLJ1FxPBX6yXWQIdUJMJsOJc7YJgF3HZNaNDnFBvcJK092fdtaXOAG5TmNYS1wMols2CmnCMcszHAZW7cn6rouo0amuPdi6rmiCCy0I5EAi4TqAOxhGlVAWmpEaSnRYAyn/aJT9wOCdGoAWCdpmyAL3QAiGMF7u5dtri0ggwRsVVq1KrtT3Fx5n6AKRy+opP0vBUk9osB5jyT2PAkGY5ha2cWBMqgHdy0gmS8f6QYwzPd/ulOeWiGggc+JyZTe8w1pceQT2PYYc0g+P/AG4UnlU8OOOdswF3UNIWJbTDpb6hdEVQys+GAuIgEiYWM6PfXAIb3ufNYbo/D4WlrqtDqp2B2an1aNaWVBIQ6IwheT18N5RdYxmHo1A6gXCPFMqDEM77NR8rqvT0PP0ndVkNKkcvo2sJTaA4prGjYJwICYYsqljMK/JG2wz2T6lMcU+sTtYZdFYZwqdY4WhPxDabTpF1Uql1yUHcSjVcT4J9DXBLxCZiG06elohVazKnxNB8U6jexRY4bjMAn6GDkBJRaZRmfftTCE0ypIV4RMKS5iBnKYKc4AKpXcc6DGOcBHFYekC0BYlsFVjBBTnEiSgnggLQ48U+iQAnktiE55dm18D3gE5C6daEJREwVCEGE4bLUQv/2Q==" alt="AI/ML 최신 기술 따라잡기"></figure><h3 style="text-align:justify;"><strong>AI/ML 최신 기술 따라잡기</strong></h3><p style="text-align:justify;">위에서 이야기한 것처럼 AI/ML은 매우 빠르게 변하는 분야이기 때문에, 최신 기술 트렌드에 관해서도 어느 정도 이해하는 것이 (아직까진) 꽤 중요한 편입니다. 따라서 최신 기술에 대해 파악하고 정보를 얻기 좋은 리소스들을 뽑아 봤습니다. </p><p style="text-align:justify;"> </p><h4 style="text-align:justify;"><strong>학회별 워크숍</strong></h4><ul><li style="text-align:justify;">AI/ML도 분야별로 다양한 학회가 있고, 그 학회에서도 다양한 워크숍이 있습니다.</li><li style="text-align:justify;">학회에 나온 논문들을 살펴보는 것도 최신 기술을 파악하는 데 좋겠지만, 그것은 academic 쪽에 있거나 정말 특정 분야를 전문적으로 하는 것이 아니라면 굳이 그럴 필요는 없을 것 같고, 워크숍 내용만 살펴봐도 도움이 많이 됩니다.</li><li style="text-align:justify;">예를 들어, CV분야는 CVPR 이 가장 큰 규모의 학회인데 여기에 수많은 워크숍들이 있고 굉장히 재미있는 토픽들이 많습니다. 많은 워크숍이 발표자료 등을 공개해 놓거나 유튜브에 올려놓기 때문에 이런 것들을 살펴보면 도움이 많이 될 수 있습니다.</li></ul><p style="text-align:justify;"> </p><h4 style="text-align:justify;"><strong>Yannic Kilcher의 유튜브</strong></h4><ul><li style="text-align:justify;">논문을 읽어본 분들은 많이들 동감하시겠지만, 논문을 직접 읽는 것은 시간이 오래 걸리는 일이고, 글자도 작아서 꽤 힘듭니다.</li><li style="text-align:justify;">그래서 누가 좀 대신 정리 좀 해줬으면 할 때가 많은데, Yannic Kilcher의 유튜브는 꽤 디테일하게 논문을 요약해서 설명해 줍니다.</li><li style="text-align:justify;">특히 AI 업계에서 꽤 중요하다고 생각되는 논문은 정말 빠르게 업데이트됩니다. 물론 여기서 안 다루는 연구들이 많기 때문에 그 점은 아쉽긴 하지만, 그래도 주요한 논문들을 잘 리뷰해 주기 때문에 시간을 많이 절약할 수 있어서 추천합니다.</li><li style="text-align:justify;"><a href="https://www.youtube.com/channel/UCZHmQk67mSJgfCCTn7xBfew">유튜브링크</a></li></ul><p style="text-align:justify;"> </p><h4 style="text-align:justify;"><strong>Papers with Code </strong></h4><ul><li style="text-align:justify;">발표되는 논문들의 토픽을 일목 요연하게 성능 순으로 정리해 놓는 사이트입니다.</li><li style="text-align:justify;">정말 좋은 점은 특정 연구에 대해서 오픈소스로 코드를 공개한 경우 같이 링크를 시켜 놓는다는 점입니다. 그렇게 함으로써 매우 쉽게 코드를 가져다가 모델을 테스트해 보고, 학습도 직접 해 볼 수 있습니다.</li><li style="text-align:justify;">물론, 여기에 나온 리더보드 점수만 믿으면 안 됩니다. (일반적으로 이런 점수는 입맛에 맞게 마사지하는 경우가 많습니다.) 하지만, 여기에서 github repository를 링크해 놓는 것만으로도 실용적으로 사용할 수 있기 때문에 AI/ML 프로젝트를 진행한다면 많은 도움이 될 수 있는 사이트입니다.</li><li style="text-align:justify;"><a href="https://paperswithcode.com/sota">링크</a></li></ul><p style="text-align:justify;"> </p><h4 style="text-align:justify;"><strong>Reddit - Machine Learning </strong></h4><ul><li style="text-align:justify;">전 세계적으로 AI/ML 관련 연구자들이 많이 보는 포럼입니다. 다양한 연구들을 많이 소개하고, 다양한 AI 기술 기반 프로젝트도 많이 소개됩니다.</li><li style="text-align:justify;">AI 기술에 관한 토론도 활발하게 이뤄지는 편이고, 무엇보다도 최신 연구에 대한 소개가 많기 때문에, AI/ML 전문가를 희망한다면 꾸준히 확인해야 할 곳이라고 생각됩니다.</li><li style="text-align:justify;"><a href="https://www.reddit.com/r/MachineLearning">링크</a></li></ul><p style="text-align:justify;"> </p><h4 style="text-align:justify;"><strong>Hacker News </strong></h4><ul><li style="text-align:justify;">HN는 AI/ML 관련 내용보다는 일반적인 SW 개발과 관련된 내용이나 기술과 관련된 내용이 훨씬 많습니다.</li><li style="text-align:justify;">그럼에도 불구하고 소개드리는 것은, AI/ML 전문가라고 하더라도 SW를 잘하는 게 중요하며 앞으로 이런 점이 더더욱 중요해질 것이기 때문입니다.</li><li style="text-align:justify;">얼마 전까지만 해도 AI/ML 분야는 모델링만을 연구하곤 했었지만, 현재는 모델링의 한계를 많이 깨닫고 데이터의 중요성이 더 강조되고 있으며, MLOps와 같은 분야의 중요성도 굉장히 높아지고 있습니다.</li><li style="text-align:justify;">이런 것들의 기본은 SW 기술이고, 그렇기 때문에 프로그래밍과 알고리즘 등에 관해서 잘 아는 것은 AI 전문가가 되기 위해서 굉장히 중요한 요소입니다.</li><li style="text-align:justify;">HN에는 기술과 관련된 뛰어난 퀄리티의 아티클, 뉴스 등이 굉장히 많이 올라오기 때문에 공부하기에는 정말 좋은 리소스입니다.</li><li style="text-align:justify;"><a href="https://news.ycombinator.com/">링크</a></li></ul><p style="text-align:justify;"> </p><p style="text-align:justify;"> </p><h3 style="text-align:justify;"><strong>글을 마치며</strong></h3><p style="text-align:justify;">책을 읽지 않고 수집만 하는 사람도 있고, 강의도 수강하지 않고 북마크만 해놓는 사람도 많습니다. 세상에 정보는 너무나 많습니다. 하지만 실력을 키우는 데 가장 좋은 방법은 좋은 강의를 열심히 찾아다니는 게 아니라, 하나를 정해서 진득하게 수강하고 이해될 때까지 반복하고, 그리고 직접 코딩을 하고 디버깅을 해 보며 직접 경험하는 것입니다. 따라서 굳이 많은 정보를 찾아다닐 필요는 없습니다. 평이 좋은 강의를 하나 정해서 열심히 듣고, 과제를 열심히 수행한 후에 어느 정도 이해가 된다고 생각하면, Kaggle에서 직접 코딩을 하며 다양한 테크닉들을 배우고 적용하고, 직접 프로젝트를 본격적으로 진행해 보면서 경험을 쌓아야 합니다. </p><p style="text-align:justify;"> </p><p style="text-align:justify;">어떤 분야든 그렇겠지만, 딱히 지름길은 없습니다. 그냥 의자에 앉아서 코딩하고, 디버깅하고, 안 되는 문제를 해결하고, 머리를 쥐어짜며 고민하는 시간들이 길면 길수록 실력은 쌓이게 될 것입니다.</p>