<?xml version='1.0' encoding='UTF-8'?><?xml-stylesheet href="http://www.blogger.com/styles/atom.css" type="text/css"?><feed xmlns='http://www.w3.org/2005/Atom' xmlns:openSearch='http://a9.com/-/spec/opensearchrss/1.0/' xmlns:georss='http://www.georss.org/georss' xmlns:gd='http://schemas.google.com/g/2005' xmlns:thr='http://purl.org/syndication/thread/1.0'><id>tag:blogger.com,1999:blog-4347611351610683777</id><updated>2012-01-25T21:24:22.017+05:30</updated><category term='Hand Books'/><category term='Safety'/><category term='Microbiology'/><category term='General'/><category term='NMR'/><category term='Hazardous'/><category term='Stability Studies'/><category term='Software'/><category term='Chromatography'/><category term='Catalysts'/><category term='Analytical'/><category term='Validations'/><category term='Environment Sciences'/><category term='Organic Chemistry'/><category term='Chemical Engineering'/><category term='Spectroscopy'/><category term='synthesis'/><category term='Quality Assurance'/><category term='Mass Spectra'/><category term='GMP'/><title type='text'>Scientist-At-Work</title><subtitle type='html'></subtitle><link rel='http://schemas.google.com/g/2005#feed' type='application/atom+xml' href='http://scientist-at-work.blogspot.com/feeds/posts/default'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default?max-results=100'/><link rel='alternate' type='text/html' href='http://scientist-at-work.blogspot.com/'/><link rel='hub' href='http://pubsubhubbub.appspot.com/'/><link rel='next' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default?start-index=101&amp;max-results=100'/><author><name>Astrologer</name><uri>http://www.blogger.com/profile/00339445991974149343</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><generator version='7.00' uri='http://www.blogger.com'>Blogger</generator><openSearch:totalResults>2239</openSearch:totalResults><openSearch:startIndex>1</openSearch:startIndex><openSearch:itemsPerPage>100</openSearch:itemsPerPage><entry><id>tag:blogger.com,1999:blog-4347611351610683777.post-2565106154623594765</id><published>2012-01-25T21:24:00.001+05:30</published><updated>2012-01-25T21:24:22.026+05:30</updated><title type='text'>Zeolites in Industrial Separation and Catalysis Book</title><content type='html'>&lt;h4&gt;&lt;img alt="Zeolites in Industrial Separation and Catalysis" src="http://www.ebooksdownloadfree.com/ups/72/9566.jpg" width="200" /&gt;&lt;/h4&gt;  &lt;p align="justify"&gt;Wiley-VCH | 2010 | ISBN: 3527325050 | 618 pages | PDF | 6,6 MB    &lt;br /&gt;This first book to offer a practical overview of zeolites and their commercial applications provides a practical examination of zeolites in three capacities. Edited by a globally recognized and acclaimed leader in the field with contributions from major industry experts, this handbook and ready reference introduces such novel separators as zeolite membranes and mixed matrix membranes.    &lt;br /&gt;The first part of the book discusses the history and chemistry of zeolites, while the second section focuses on separation processes. The third and final section treats zeolites in the field of catalysis.    &lt;br /&gt;The three sections are unified by an examination of how the unique properties of zeolites allow them to function in different capacities as an adsorbent, a membrane and as a catalyst, while also discussing their impact within the industry.&lt;/p&gt;  &lt;p align="justify"&gt;&lt;/p&gt;  &lt;p align="justify"&gt;---------------------&lt;/p&gt;  &lt;p&gt;MIRROR:   &lt;br /&gt;&lt;a href="http://depositfiles.com/files/mw491jaqj"&gt;Download&lt;/a&gt;&lt;/p&gt;  &lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/4347611351610683777-2565106154623594765?l=scientist-at-work.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://scientist-at-work.blogspot.com/feeds/2565106154623594765/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://www.blogger.com/comment.g?blogID=4347611351610683777&amp;postID=2565106154623594765' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/2565106154623594765'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/2565106154623594765'/><link rel='alternate' type='text/html' href='http://scientist-at-work.blogspot.com/2012/01/zeolites-in-industrial-separation-and.html' title='Zeolites in Industrial Separation and Catalysis Book'/><author><name>Astrologer</name><uri>http://www.blogger.com/profile/00339445991974149343</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-4347611351610683777.post-1013375093022587161</id><published>2012-01-25T21:19:00.001+05:30</published><updated>2012-01-25T21:19:21.685+05:30</updated><title type='text'>Chemical Micro Process Engineering: Fundamentals, Modelling and Reactions Book.</title><content type='html'>&lt;h4 align="justify"&gt;&lt;img alt="Chemical Micro Process Engineering Fundamentals Modelling" src="http://www.ebooksdownloadfree.com/ups/54/568873.jpg" width="200" /&gt;&lt;/h4&gt;  &lt;p align="justify"&gt;Wi-ey | 2004 | ISBN: 3527307419 | 712 pages | PDF | 10,7 MB    &lt;br /&gt;Micro process engineering is approaching both academia and industry. 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A comprehensive and detailed overview is given on:    &lt;br /&gt;A multi–faceted, hierarchic analysis of chemical micro process technology    &lt;br /&gt;Modelling and simulation of micro reactors    &lt;br /&gt;Liquid– and liquid/liquid–phase reactions    &lt;br /&gt;Gas/liquid reactions    &lt;br /&gt;Gas–phase reactions (heterogeneous catalysis)&lt;/p&gt;  &lt;p&gt;&lt;a href="http://uploading.com/files/afa857c9/3527307419Micro.rar/"&gt;Download&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;-----------------------------&lt;/p&gt;  &lt;p&gt;MIRROR:   &lt;br /&gt;&lt;a href="http://filesonic.com/file/59001405/3527307419Micro.rar"&gt;Download&lt;/a&gt;&lt;/p&gt;  &lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/4347611351610683777-1013375093022587161?l=scientist-at-work.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://scientist-at-work.blogspot.com/feeds/1013375093022587161/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://www.blogger.com/comment.g?blogID=4347611351610683777&amp;postID=1013375093022587161' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/1013375093022587161'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/1013375093022587161'/><link rel='alternate' type='text/html' href='http://scientist-at-work.blogspot.com/2012/01/chemical-micro-process-engineering.html' title='Chemical Micro Process Engineering: Fundamentals, Modelling and Reactions Book.'/><author><name>Astrologer</name><uri>http://www.blogger.com/profile/00339445991974149343</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-4347611351610683777.post-6766113404895013647</id><published>2012-01-25T21:16:00.001+05:30</published><updated>2012-01-25T21:16:48.719+05:30</updated><title type='text'>Developing Solid Oral Dosage Forms: Pharmaceutical Theory &amp; Practice Book</title><content type='html'>&lt;h4&gt;&lt;img alt="Developing Solid Oral Dosage Forms Pharmaceutical Theory" src="http://www.ebooksdownloadfree.com/ups/67/275640.jpg" width="200" /&gt;&lt;/h4&gt;  &lt;p align="justify"&gt;Publisher: Academic Press | 2009 | ISBN: 0444532420 | Pages: 950 | PDF | 12,09 MB   &lt;br /&gt;This book is intended for pharmaceutical professionals engaged in research and development of oral dosage forms. It covers essential principles of physical pharmacy, biopharmaceutics and industrial pharmacy as well as various aspects of state-of-the-art techniques and approaches in pharmaceutical sciences and technologies along with examples and/or case studies in product development. The objective of this book is to offer updated (or current) knowledge and skills required for rational oral product design and development. The specific goals are to provide readers with:    &lt;br /&gt;Basics of modern theories of physical pharmacy, biopharmaceutics and industrial pharmacy and their applications throughout the entire process of research and development of oral dosage forms     &lt;br /&gt;Tools and approaches of preformulation investigation, formulation/process design, characterization and scale-up in pharmaceutical sciences and technologies     &lt;br /&gt;New developments, challenges, trends, opportunities, intellectual property issues and regulations in solid product development     &lt;br /&gt;The first book (ever) that provides comprehensive and in-depth coverage of what's required for developing high quality pharmaceutical products to meet international standards     &lt;br /&gt;It covers a broad scope of topics that encompass the entire spectrum of solid dosage form development for the global market, including the most updated science and technologies, practice, applications, regulation, intellectual property protection and new development trends with case studies in every chapter     &lt;br /&gt;A strong team of more than 50 well-established authors/co-authors of diverse background, knowledge, skills and experience from industry, academia and regulatory agencies.&lt;/p&gt;  &lt;p&gt;DOWNLOAD LINK:&lt;/p&gt;  &lt;p&gt;&lt;a title="http://depositfiles.com/ru/files/7zr6rdiqb" href="http://depositfiles.com/ru/files/7zr6rdiqb"&gt;http://depositfiles.com/ru/files/7zr6rdiqb&lt;/a&gt;&lt;/p&gt;  &lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/4347611351610683777-6766113404895013647?l=scientist-at-work.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://scientist-at-work.blogspot.com/feeds/6766113404895013647/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://www.blogger.com/comment.g?blogID=4347611351610683777&amp;postID=6766113404895013647' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/6766113404895013647'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/6766113404895013647'/><link rel='alternate' type='text/html' href='http://scientist-at-work.blogspot.com/2012/01/developing-solid-oral-dosage-forms.html' title='Developing Solid Oral Dosage Forms: Pharmaceutical Theory &amp;amp; Practice Book'/><author><name>Astrologer</name><uri>http://www.blogger.com/profile/00339445991974149343</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-4347611351610683777.post-642152733580455750</id><published>2012-01-25T21:12:00.001+05:30</published><updated>2012-01-25T21:12:47.276+05:30</updated><title type='text'>Modern Oxidation Methods, 2 edition Book</title><content type='html'>&lt;h4 align="justify"&gt;&lt;img alt="Modern Oxidation Methods 2 edition AvaxHome" src="http://www.ebooksdownloadfree.com/ups/52/641009.jpg" width="200" /&gt;&lt;/h4&gt;  &lt;p align="justify"&gt;W..ey-VC.H | 2010 | ISBN: 3527323201 | 481 pages | PDF | 5,6 MB    &lt;br /&gt;While rust is an unwanted oxidation reaction, there are also many other useful oxidation reactions that are extremely important and number among the most commonly used reactions in the chemical industry.    &lt;br /&gt;This completely revised, updated second edition now includes additional sections on industrial oxidation and biochemical oxidation.    &lt;br /&gt;Edited by one of the world leaders in the field, high-quality contributions cover every important aspect from classical to green chemistry methods:     &lt;br /&gt;Recent Developments in Metal-catalyzed Dihydroxylation of Alkenes     &lt;br /&gt;Transition Metal-Catalyzed Epoxidation of Alkenes     &lt;br /&gt;Organocatalytic Oxidation. Ketone-Catalyzed Asymmetric Epoxidation of Alkenes and Synthetic Applications     &lt;br /&gt;Catalytic Oxidations with Hydrogen Peroxide in Fluorinated Alcohol Solvents     &lt;br /&gt;Modern Oxidation of Alcohols using Environmentally Benign Oxidants     &lt;br /&gt;Aerobic Oxidations and Related Reactions Catalyzed by N-Hydro xyphthalimide     &lt;br /&gt;Ruthenium-Catalyzed Oxidation for Organic Synthesis     &lt;br /&gt;Selective Oxidation of Amines and Sulfides     &lt;br /&gt;Liquid Phase Oxidation Reactions Catalyzed by Polyoxometalates     &lt;br /&gt;Oxidation of Carbonyl Compounds     &lt;br /&gt;Manganese-Catalyzed Oxidation with Hydrogen Peroxide     &lt;br /&gt;Biooxidation with Cytochrome P450 Monooxygenases     &lt;br /&gt;By providing an overview of this vast topic, the book represents an unparalleled aid for organic, catalytic and biochemists working in the field. &lt;/p&gt;  &lt;p&gt;&lt;a href="http://depositfiles.com/files/lcbjuy6dp"&gt;Download&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;-----------------------------&lt;/p&gt;  &lt;p&gt;MIRROR:   &lt;br /&gt;&lt;a href="http://uploading.com/files/b85714fa/3527323201Oxidation.rar/"&gt;Download&lt;/a&gt;&lt;/p&gt;  &lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/4347611351610683777-642152733580455750?l=scientist-at-work.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://scientist-at-work.blogspot.com/feeds/642152733580455750/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://www.blogger.com/comment.g?blogID=4347611351610683777&amp;postID=642152733580455750' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/642152733580455750'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/642152733580455750'/><link rel='alternate' type='text/html' href='http://scientist-at-work.blogspot.com/2012/01/modern-oxidation-methods-2-edition-book_25.html' title='Modern Oxidation Methods, 2 edition Book'/><author><name>Astrologer</name><uri>http://www.blogger.com/profile/00339445991974149343</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-4347611351610683777.post-4522076279886008397</id><published>2012-01-25T21:10:00.001+05:30</published><updated>2012-01-25T21:10:11.039+05:30</updated><title type='text'>Mechanisms in organic reactions Book</title><content type='html'>&lt;h4 align="justify"&gt;&lt;img alt="Mechanisms in organic reactions AvaxHome" src="http://www.ebooksdownloadfree.com/ups/115/230250.jpg" width="200" /&gt;&lt;/h4&gt;  &lt;p align="justify"&gt;Author:Richard A Jackson | Publisher: RSC | 2004 | ISBN: 0854046429 | Pages: 210 | PDF | 17.6 MB   &lt;br /&gt;An increasing knowledge and understanding of organic reaction mechanisms has been a major factor in the rapid advance of organic chemistry, biochemistry and pharmacology in the last century. It therefore forms a vital part of today's chemistry courses.     &lt;br /&gt;Mechanisms in Organic Reactions helps students to make sensible proposals for the mechanisms of particular organic reactions, and then how to distinguish between different possible mechanisms. Techniques for this include product studies, kinetics, and the identification of intermediates. Three chapters on intermediates discuss likely points of attack on molecules by anions, radicals and cations, and the important role of acid- and base-catalysed reactions and radical chain reactions. 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Each book provides a concise account of the basic principles underlying a given subject, embodying an independent-learning philosophy and including worked examples.&lt;/p&gt;  &lt;p&gt;-----------------------------&lt;/p&gt;  &lt;p&gt;&lt;a href="http://rapidshare.com/files/445837327/MecOrgReact.rar"&gt;Download&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;-----------------------------&lt;/p&gt;  &lt;p&gt;MIRROR:   &lt;br /&gt;&lt;a href="http://megaupload.com/?d=HW8MTAAU"&gt;Download&lt;/a&gt;&lt;/p&gt;  &lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/4347611351610683777-4522076279886008397?l=scientist-at-work.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://scientist-at-work.blogspot.com/feeds/4522076279886008397/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://www.blogger.com/comment.g?blogID=4347611351610683777&amp;postID=4522076279886008397' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/4522076279886008397'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/4522076279886008397'/><link rel='alternate' type='text/html' href='http://scientist-at-work.blogspot.com/2012/01/mechanisms-in-organic-reactions-book.html' title='Mechanisms in organic reactions Book'/><author><name>Astrologer</name><uri>http://www.blogger.com/profile/00339445991974149343</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-4347611351610683777.post-7504044333203376145</id><published>2012-01-04T23:34:00.001+05:30</published><updated>2012-01-04T23:34:42.887+05:30</updated><title type='text'></title><content type='html'>&lt;p&gt;&lt;a href="http://www.freebookcentre.net/chemistry-books-download/Organic-mechanisms.html"&gt;Organic mechanisms&lt;/a&gt;&lt;/p&gt; 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But the sense of the song is not that.&lt;br /&gt;The song is sung by a character who is dumped by a girl and now is drunk. Then he sings the song Why this &lt;b style="color:#333;"&gt;Kolaveri di&lt;/b&gt; which means "&lt;b style="color:#333;"&gt;Why did you do this to me&lt;/b&gt;" or "&lt;b style="color:#333;"&gt;Why you dumped me&lt;/b&gt;".&lt;br /&gt;&lt;a name="more"&gt;&lt;/a&gt;&lt;br /&gt;Dhanush start the song with words &lt;b style="color:#333;"&gt;Soup song, Flop song&lt;/b&gt;. The soup song is a song for those who failed in Love.&lt;br /&gt;&lt;br /&gt;We can say the song is in &lt;b style="color:#333;"&gt;Tanglish&lt;/b&gt; and there  is no grammar in the song as well there is no sense in doing literal  translation of the song. Whether you knows Tamil or not you can still  understand the entire song and what the character want to say, If you  know the meaning of line &lt;b style="color:#333;"&gt;Why this Kolaveri Di&lt;/b&gt;.&lt;br /&gt;Dhanush didn't write the lyrics on any paper, he just goes with the tune and sings what came to his mind.&lt;br /&gt;&lt;br /&gt;The song is from Dhanush's wife Aishawarya's debut film &lt;b style="color:#333;"&gt;Moondru (3)&lt;/b&gt;. It's amazing to see that the song got 2.5 Million views just in 1 week. So there can be no better way to publicize the movie.&lt;br /&gt;Dhanush is the singer of this song who is a National Award-winning Actor, Singer and Song Writer and Director.&lt;/div&gt;&lt;div style="text-align: justify;"&gt;&lt;br /&gt;Enjoy the song:&lt;br /&gt;&lt;iframe src="http://www.youtube.com/embed/0SjbtIinRoI" allowfullscreen="" frameborder="0" height="315" width="560"&gt;&lt;/iframe&gt;&lt;br /&gt;&lt;br /&gt;&lt;span style="font-size:14px;"&gt;Also listen to &lt;span style="text-decoration: underline;"&gt;kolaveri-Milk Version&lt;/span&gt;-  sung by Sonu Nigam's son Nevaan Nigam&lt;/span&gt;&lt;br /&gt;&lt;br /&gt;&lt;iframe src="http://www.youtube.com/embed/uoV07HWxjfY" allowfullscreen="" frameborder="0" height="315" width="560"&gt;&lt;/iframe&gt;&lt;br /&gt;&lt;/div&gt;&lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/4347611351610683777-508972404990964091?l=scientist-at-work.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://scientist-at-work.blogspot.com/feeds/508972404990964091/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://www.blogger.com/comment.g?blogID=4347611351610683777&amp;postID=508972404990964091' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/508972404990964091'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/508972404990964091'/><link rel='alternate' type='text/html' href='http://scientist-at-work.blogspot.com/2011/12/kolaveri-di-means-why-did-you-do-this.html' title='KOLAVERI DI means WHY DID YOU DO THIS TO ME'/><author><name>Astrologer</name><uri>http://www.blogger.com/profile/00339445991974149343</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://img.youtube.com/vi/0SjbtIinRoI/default.jpg' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-4347611351610683777.post-6741428467394361341</id><published>2011-12-10T20:05:00.001+05:30</published><updated>2011-12-10T20:05:35.412+05:30</updated><title type='text'>Handbook on Applications of Ultrasound: Sonochemistry for Sustainability</title><content type='html'>&lt;p align="justify"&gt;&lt;a href="http://lh3.ggpht.com/-oc9Z3rdV7M0/TuNuMA-nVkI/AAAAAAAADPI/hThrfjlgrj4/s1600-h/image%25255B2%25255D.png"&gt;&lt;img title="image" style="border-right: 0px; border-top: 0px; display: inline; border-left: 0px; border-bottom: 0px" height="244" alt="image" src="http://lh5.ggpht.com/-mSFqpYoamas/TuNuNYY8iTI/AAAAAAAADPQ/j_J_2AAuEWA/image_thumb.png?imgmax=800" width="162" border="0" /&gt;&lt;/a&gt; &lt;/p&gt;  &lt;p align="justify"&gt;&lt;b&gt;Dong Chen, Sanjay K. Sharma, Ackmez Mudhoo, &amp;quot;Handbook on Applications of Ultrasound: Sonochemistry for Sustainability&amp;quot;&lt;/b&gt;    &lt;br /&gt;CRC Press; 1 edition (July 26, 2011) | ISBN: 143984206X | 739 pages | PDF | 15,2 MB&lt;/p&gt;  &lt;p align="justify"&gt;Ultrasonic irradiation and the associated sonochemical and sonophysical effects are complementary techniques for driving more efficient chemical reactions and yields. Sonochemistry—the chemical effects and applications of ultrasonic waves—and sustainable (green) chemistry both aim to use less hazardous chemicals and solvents, reduce energy consumption, and increase product selectivity.   &lt;br /&gt;A comprehensive collection of knowledge, Handbook on Applications of Ultrasound covers the most relevant aspects linked to and linking green chemistry practices to environmental sustainability through the uses and applications of ultrasound-mediated and ultrasound-assisted biological, biochemical, chemical, and physical processes.    &lt;br /&gt;Chapters are presented in the areas of:    &lt;br /&gt;-Medical applications    &lt;br /&gt;-Drug and gene delivery    &lt;br /&gt;-Nanotechnology    &lt;br /&gt;-Food technology    &lt;br /&gt;-Synthetic applications and organic chemistry    &lt;br /&gt;-Anaerobic digestion    &lt;br /&gt;-Environmental contaminants degradation    &lt;br /&gt;-Polymer chemistry    &lt;br /&gt;-Industrial syntheses and processes    &lt;br /&gt;-Reactor design    &lt;br /&gt;-Electrochemical systems    &lt;br /&gt;-Combined ultrasound−microwave technologies    &lt;br /&gt;While the concepts of sonochemistry have been known for more than 80 years, in-depth understanding of this phenomenon continues to evolve. Through a review of the current status of chemical and physical science and engineering in developing more environmentally-friendly and less toxic synthetic processes, this book highlights many existing applications and enormous potential of ultrasound technology to upgrade present industrial, agricultural, and environmental processes. &lt;/p&gt;  &lt;p align="justify"&gt;DOWNLOAD&lt;/p&gt;  &lt;p align="justify"&gt;&lt;a href="http://www.filesonic.com/file/4152331225/Handbook_on_Applications_of_Ultrasound__Sonochemistry_for_Sustainability.pdf"&gt;&lt;b&gt;Filesonic&lt;/b&gt;&lt;/a&gt;&lt;/p&gt;  &lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/4347611351610683777-6741428467394361341?l=scientist-at-work.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://scientist-at-work.blogspot.com/feeds/6741428467394361341/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://www.blogger.com/comment.g?blogID=4347611351610683777&amp;postID=6741428467394361341' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/6741428467394361341'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/6741428467394361341'/><link rel='alternate' type='text/html' href='http://scientist-at-work.blogspot.com/2011/12/handbook-on-applications-of-ultrasound.html' title='Handbook on Applications of Ultrasound: Sonochemistry for Sustainability'/><author><name>Astrologer</name><uri>http://www.blogger.com/profile/00339445991974149343</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://lh5.ggpht.com/-mSFqpYoamas/TuNuNYY8iTI/AAAAAAAADPQ/j_J_2AAuEWA/s72-c/image_thumb.png?imgmax=800' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-4347611351610683777.post-4574389562863868943</id><published>2011-12-10T20:00:00.001+05:30</published><updated>2011-12-10T20:00:09.532+05:30</updated><title type='text'>Positive Psychology at Work: How Positive Leadership and Appreciative Inquiry Create Inspiring Organizations</title><content type='html'>&lt;p&gt;&lt;a href="http://lh6.ggpht.com/-sCB2f9S6IYw/TuNs68JzdBI/AAAAAAAADO4/QsN9YhJrZl0/s1600-h/image%25255B2%25255D.png"&gt;&lt;img title="image" style="border-right: 0px; border-top: 0px; display: inline; border-left: 0px; border-bottom: 0px" height="244" alt="image" src="http://lh6.ggpht.com/-RtZUQKWNQyc/TuNs76wjQyI/AAAAAAAADPA/K8ZPUnD0Q2s/image_thumb.png?imgmax=800" width="169" border="0" /&gt;&lt;/a&gt; &lt;/p&gt;  &lt;p align="justify"&gt;&lt;b&gt;Sarah Lewis, &amp;quot;Positive Psychology at Work: How Positive Leadership and Appreciative Inquiry Create Inspiring Organizations&amp;quot; &lt;/b&gt;    &lt;br /&gt;W,,ey-Bl..well | 2011 | ISBN: 0470683201 | 270 pages | PDF | 15,3 MB &lt;/p&gt;  &lt;p align="justify"&gt;Positive Psychology at Work brings the fields of positive psychology and appreciative inquiry together for the first time to provide leaders and change agents with a powerful new approach to achieving organizational excellence.   &lt;br /&gt;Draws together positive psychology and appreciative inquiry in the context of leadership organizational challenges for the first time    &lt;br /&gt;Presents academically rigorous and referenced material in a jargon-free, accessible manner    &lt;br /&gt;Arranged with chapters focused on specific organizational challenges to allow readers to quickly find ideas relevant to their unique situation    &lt;br /&gt;Features short contributions from experienced practitioners of positive psychology and Appreciative Inquiry, and includes case studies from the UK, Europe, Australia and the USA?? &lt;/p&gt;  &lt;p align="justify"&gt;&lt;b&gt;Download &lt;/b&gt;&lt;/p&gt;  &lt;p align="justify"&gt;&lt;a href="http://filepost.com/files/cbcmd273/0470683201Positive.pdf/"&gt;&lt;b&gt;filepost.com &lt;/b&gt;&lt;/a&gt;&lt;/p&gt;  &lt;p align="justify"&gt;&lt;a href="http://uploading.com/files/65m8mfe5/0470683201Positive.pdf/"&gt;&lt;b&gt;uploading.com &lt;/b&gt;&lt;/a&gt;&lt;/p&gt;  &lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/4347611351610683777-4574389562863868943?l=scientist-at-work.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://scientist-at-work.blogspot.com/feeds/4574389562863868943/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://www.blogger.com/comment.g?blogID=4347611351610683777&amp;postID=4574389562863868943' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/4574389562863868943'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/4574389562863868943'/><link rel='alternate' type='text/html' href='http://scientist-at-work.blogspot.com/2011/12/positive-psychology-at-work-how.html' title='Positive Psychology at Work: How Positive Leadership and Appreciative Inquiry Create Inspiring Organizations'/><author><name>Astrologer</name><uri>http://www.blogger.com/profile/00339445991974149343</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://lh6.ggpht.com/-RtZUQKWNQyc/TuNs76wjQyI/AAAAAAAADPA/K8ZPUnD0Q2s/s72-c/image_thumb.png?imgmax=800' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-4347611351610683777.post-3738691630499092326</id><published>2011-12-10T19:57:00.001+05:30</published><updated>2011-12-10T19:57:12.427+05:30</updated><title type='text'></title><content type='html'>&lt;p align="justify"&gt;&lt;a href="http://lh4.ggpht.com/-U6Ul7LHLOls/TuNsOrneTuI/AAAAAAAADOo/HfvkuQrBGT4/s1600-h/image%25255B2%25255D.png"&gt;&lt;img title="image" style="border-right: 0px; border-top: 0px; display: inline; border-left: 0px; border-bottom: 0px" height="244" alt="image" src="http://lh3.ggpht.com/-qQ66kvk-VTU/TuNsPnjtEAI/AAAAAAAADOw/4OUbur0N1yE/image_thumb.png?imgmax=800" width="162" border="0" /&gt;&lt;/a&gt; &lt;/p&gt;  &lt;p align="justify"&gt;&lt;b&gt;Mark Davison, &amp;quot;Pharmaceutical Anti-Counterfeiting: Combating the Real Danger from Fake Drugs&amp;quot; &lt;/b&gt;    &lt;br /&gt;Wil ey | 2011 | ISBN: 0470616172 | 426 pages | PDF | 2,7 MB &lt;/p&gt;  &lt;p align="justify"&gt;Effective strategies to deal with the growingproblem of counterfeit drugs   &lt;br /&gt;Counterfeit and illegally diverted drugs are a global problem representing a serious threat to patients and to our healthcare systems. To combat fake medicines you need to understand both the problems and the solutions. This book gives you these vital perspectives. It not only provides a detailed examination of the causes and consequences of pharmaceutical counterfeiting, it also provides practical advice and tested and proven strategies to deal with this growing threat to the international drug supply. Moreover, it investigates and explains the tactics and technologies you need to protect your patients, brands, and profits.    &lt;br /&gt;Addressing both business and technical issues, this book enables you to understand and tackle the problem of counterfeit and illegally diverted drugs on all fronts:    &lt;br /&gt;Guides you through the complex legal and compliance issues    &lt;br /&gt;Explores the complexities of the drug supply chain, demonstrating why certain approaches to reducing counterfeit drugs are more likely to work than others    &lt;br /&gt;Sets forth the pros and cons of technologies designed to authenticate drugs and secure packaging, to enable traceability or e-pedigree, and to protect the supply chain    &lt;br /&gt;Offers an easy-to-read guide for patients to help them avoid counterfeit drugs    &lt;br /&gt;Illustrates key problems and solutions using realistic examples    &lt;br /&gt;Features anti-counterfeiting case studies from Africa, Asia, Europe, Latin America and North America    &lt;br /&gt;Covering pharmaceutical security from factory to patient, this book helps you better understand the issues around counterfeiting and diversion and then implement effective strategies to fight back against these pharmaceutical crimes.&lt;/p&gt;  &lt;p align="justify"&gt;&lt;b&gt;Download &lt;/b&gt;&lt;/p&gt;  &lt;p align="justify"&gt;&lt;a href="http://filepost.com/files/ef53cm56/0470616172AntiCounter.pdf/"&gt;&lt;b&gt;filepost.com &lt;/b&gt;&lt;/a&gt;&lt;/p&gt;  &lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/4347611351610683777-3738691630499092326?l=scientist-at-work.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://scientist-at-work.blogspot.com/feeds/3738691630499092326/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://www.blogger.com/comment.g?blogID=4347611351610683777&amp;postID=3738691630499092326' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/3738691630499092326'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/3738691630499092326'/><link rel='alternate' type='text/html' href='http://scientist-at-work.blogspot.com/2011/12/mark-davison-anti-counterfeiting.html' title=''/><author><name>Astrologer</name><uri>http://www.blogger.com/profile/00339445991974149343</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://lh3.ggpht.com/-qQ66kvk-VTU/TuNsPnjtEAI/AAAAAAAADOw/4OUbur0N1yE/s72-c/image_thumb.png?imgmax=800' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-4347611351610683777.post-7763224022628413035</id><published>2011-12-10T19:53:00.001+05:30</published><updated>2011-12-10T19:53:41.875+05:30</updated><title type='text'>Laser Welding of Plastics: Materials, Processes and Industrial Applications</title><content type='html'>&lt;p&gt;&lt;a href="http://lh5.ggpht.com/-M2QR2Sf0ucQ/TuNrZ09WU-I/AAAAAAAADOY/NyBFitWZrUM/s1600-h/image%25255B2%25255D.png"&gt;&lt;img title="image" style="border-right: 0px; border-top: 0px; display: inline; border-left: 0px; border-bottom: 0px" height="244" alt="image" src="http://lh3.ggpht.com/-EdT__OPsuQs/TuNrbBY_gdI/AAAAAAAADOg/ENqg7N1EHaA/image_thumb.png?imgmax=800" width="166" border="0" /&gt;&lt;/a&gt; &lt;/p&gt;  &lt;p align="justify"&gt;&lt;b&gt;Rolf Klein, &amp;quot;Laser Welding of Plastics: Materials, Processes and Industrial Applications&amp;quot; &lt;/b&gt;    &lt;br /&gt;Wil..y-VC..H | 2011 | ISBN: 3527409726 | 260 pages | PDF | 6,5 MB &lt;/p&gt;  &lt;p align="justify"&gt;This is the first detailed description in English of radiation and polymeric material interaction and the influences of thermal and optical material properties. As such, it provides comprehensive information on material and process characteristics as well as applications regarding plastic laser welding.    &lt;br /&gt;The first part of this practical book introduces the structure and physical properties of plastics, before discussing the interaction of material and radiation in the NIR and IR spectral range. This is followed by an overview of the physical foundations of laser radiation and laser sources used for plastic welding. The third part describes the main processes of laser welding thermoplastics, as well as possibilities of process control, design of joint geometry, material compatibilities and adaptation of absorption of plastics to NIR radiation. Finally, the author explains applications of laser welding plastics using several industrial case studies from the automotive industry, household goods, and medical devices.     &lt;br /&gt;Tailored to the needs of everyone dealing with laser welding of plastics, especially engineers in packaging, component manufacturing, and the medical industry.&lt;/p&gt;  &lt;p align="justify"&gt;&lt;b&gt;Download &lt;/b&gt;&lt;/p&gt;  &lt;p align="justify"&gt;&lt;a href="http://www.filesonic.com/file/4158870614/3527409726Laser.pdf"&gt;&lt;b&gt;filesonic.com &lt;/b&gt;&lt;/a&gt;&lt;/p&gt;  &lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/4347611351610683777-7763224022628413035?l=scientist-at-work.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://scientist-at-work.blogspot.com/feeds/7763224022628413035/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://www.blogger.com/comment.g?blogID=4347611351610683777&amp;postID=7763224022628413035' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/7763224022628413035'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/7763224022628413035'/><link rel='alternate' type='text/html' href='http://scientist-at-work.blogspot.com/2011/12/laser-welding-of-plastics-materials.html' title='Laser Welding of Plastics: Materials, Processes and Industrial Applications'/><author><name>Astrologer</name><uri>http://www.blogger.com/profile/00339445991974149343</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://lh3.ggpht.com/-EdT__OPsuQs/TuNrbBY_gdI/AAAAAAAADOg/ENqg7N1EHaA/s72-c/image_thumb.png?imgmax=800' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-4347611351610683777.post-3672392691181057914</id><published>2011-12-10T19:48:00.001+05:30</published><updated>2011-12-10T19:48:06.580+05:30</updated><title type='text'>A Closer Look at Biology, Microbiology, and the Cell</title><content type='html'>&lt;p&gt;&lt;a href="http://lh3.ggpht.com/-U8-gdWcgV3M/TuNqGNADXtI/AAAAAAAADOI/nYVkyScGK0k/s1600-h/image%25255B2%25255D.png"&gt;&lt;img title="image" style="border-top-width: 0px; display: inline; border-left-width: 0px; border-bottom-width: 0px; border-right-width: 0px" height="244" alt="image" src="http://lh6.ggpht.com/-ZW76avJsnU0/TuNqHes1FRI/AAAAAAAADOQ/GQyBZ0sZKTc/image_thumb.png?imgmax=800" width="177" border="0" /&gt;&lt;/a&gt; &lt;/p&gt;  &lt;p align="justify"&gt;&lt;b&gt;Sherman Hollar, &amp;quot;A Closer Look at Biology, Microbiology, and the Cell&amp;quot;&lt;/b&gt;     &lt;br /&gt;Ro..n Ed....ion Se...ce | 2011-08-15 | ISBN: 1615305149, 1615305637 | 96 pages | PDF | 22,8 MB&lt;/p&gt;  &lt;p align="justify"&gt;Formalizing study of the natural world may seem like a daunting task considering the sheer breadth and variety of living things that inhabit the planet. From the microscopic organisms in the world's most remote locations to those in the human body, evidence of the intricate structures and mechanisms that enable life are ubiquitous and new discoveries constantly reveal new possibilities that demand to be examined. This volume surveys the multitude of subjects that comprise the field of biology and includes an overview of the development of biology, microbiology, and cell theory.    &lt;br /&gt;Enjoy this great book! Brought to you by SMIRK     &lt;br /&gt;&lt;/p&gt;  &lt;p&gt;DOWNLOAD LINKS:&lt;/p&gt;  &lt;p&gt;&lt;b&gt;&lt;a href="http://www.filesonic.com/file/4159054935"&gt;FileSonic&lt;/a&gt;&lt;/b&gt;     &lt;br /&gt;&lt;b&gt;&lt;a href="http://filepost.com/files/c9116354/A_Closer_Look_at_Biology,_Microbiology,_and_the_Cell_%281615305149%29.pdf/"&gt;FilePost&lt;/a&gt;&lt;/b&gt;&lt;/p&gt;  &lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/4347611351610683777-3672392691181057914?l=scientist-at-work.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://scientist-at-work.blogspot.com/feeds/3672392691181057914/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://www.blogger.com/comment.g?blogID=4347611351610683777&amp;postID=3672392691181057914' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/3672392691181057914'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/3672392691181057914'/><link rel='alternate' type='text/html' href='http://scientist-at-work.blogspot.com/2011/12/closer-look-at-biology-microbiology-and.html' title='A Closer Look at Biology, Microbiology, and the Cell'/><author><name>Astrologer</name><uri>http://www.blogger.com/profile/00339445991974149343</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://lh6.ggpht.com/-ZW76avJsnU0/TuNqHes1FRI/AAAAAAAADOQ/GQyBZ0sZKTc/s72-c/image_thumb.png?imgmax=800' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-4347611351610683777.post-5375365984244218477</id><published>2011-11-06T10:39:00.001+05:30</published><updated>2011-11-06T10:39:32.793+05:30</updated><title type='text'></title><content type='html'>&lt;p&gt;&lt;small&gt;&lt;a href="http://portableturk.com/user/Elegance/"&gt;&lt;/a&gt;&lt;/small&gt;&lt;/p&gt;  &lt;p align="justify"&gt;&lt;img title="Macroscale and Microscale Organic Experiments (6th Edition)" alt="Macroscale and Microscale Organic Experiments (6th Edition)" src="http://preview.filesonic.com/img/d8/4a/eb/3287801.jpg" /&gt;     &lt;br /&gt;&lt;b&gt;Macroscale and Microscale Organic Experiments (6th Edition)&lt;/b&gt;     &lt;br /&gt;Brooks Cole | ISBN : 0538733330 | May 3, 2010 | 818 pages | PDF | 44MB&lt;/p&gt;  &lt;p align="justify"&gt;The market leader for the full-year organic laboratory, this manual derives many experiments and procedures from the classic Feiser lab text, giving it an unsurpassed reputation for solid, authoritative content. The book includes new experiments that stress greener chemistry, updated NMR spectra, and a Premium Website that includes glassware-specific videos with pre-lab exercises. Offering a flexible mix of macroscale and microscale options for most experiments, this proven manual allows users to save on the purchase and disposal of expensive, sometimes hazardous organic chemicals. Macroscale versions can be used for less costly experiments, giving readers experience working with conventionally sized glassware.&lt;/p&gt;  &lt;p align="justify"&gt;&lt;b&gt;NOTE:&lt;/b&gt; If you have problems in reading this file, let's use PDF-XChange Viewer or Foxit.&lt;/p&gt;  &lt;p&gt;&lt;img title="Macroscale and Microscale Organic Experiments (6th Edition)" alt="Macroscale and Microscale Organic Experiments (6th Edition)" src="http://lulzimg.com/i23/4fbae6.jpg" /&gt;     &lt;br /&gt;&lt;a href="http://www.wupload.com/file/159450401/0538733330.rar"&gt;http://www.wupload.com/file/159450401/0538733330.rar&lt;/a&gt;     &lt;br /&gt;or     &lt;br /&gt;&lt;a href="http://www.filesonic.com/file/1927937771/0538733330.rar"&gt;http://www.filesonic.com/file/1927937771/0538733330.rar&lt;/a&gt;     &lt;br /&gt;or     &lt;br /&gt;&lt;a href="http://shareflare.net/download/62978.6a33d32d564d2da0403b4c38b3a0/0538733330.rar.html"&gt;http://shareflare.net/download/62978.6a33d32d564d2da0403b4c38b3a0/0538733330.rar.html&lt;/a&gt;&lt;/p&gt;  &lt;hr /&gt;  &lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/4347611351610683777-5375365984244218477?l=scientist-at-work.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://scientist-at-work.blogspot.com/feeds/5375365984244218477/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://www.blogger.com/comment.g?blogID=4347611351610683777&amp;postID=5375365984244218477' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/5375365984244218477'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/5375365984244218477'/><link rel='alternate' type='text/html' href='http://scientist-at-work.blogspot.com/2011/11/macroscale-and-microscale-organic.html' title=''/><author><name>Astrologer</name><uri>http://www.blogger.com/profile/00339445991974149343</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-4347611351610683777.post-270159118924873757</id><published>2011-10-30T09:31:00.001+05:30</published><updated>2011-10-30T09:31:50.843+05:30</updated><title type='text'></title><content type='html'>&lt;p align="justify"&gt;&lt;img height="300" alt="" src="http://www.ebook3000.com/upimg/allimg/080414/0006380.jpg" width="205" border="0" /&gt;    &lt;br /&gt;Collins; Revised edition (July 1, 2003) | ISBN: 0060555661 | English | PDF | 640 pages | 1.37 MB&lt;/p&gt;  &lt;p align="justify"&gt;The Intelligent Investor by Benjamin Graham published in 1949, is a widely acclaimed book on investing. Famous investor and billionaire Warren Buffett describes it as &amp;quot;by far the best book on investing ever written&amp;quot;, a sentiment echoed by other Graham disciples such as Irving Kahn and Walter Schloss.&lt;/p&gt;  &lt;p&gt;DOWNLOAD LINK:   &lt;br /&gt;&lt;a href="http://uploading.com/files/1443e58b/6The_Intelligent_Investor.rar/"&gt;http://uploading.com/files/1443e58b/6The_Intelligent_Investor.rar/&lt;/a&gt;&lt;/p&gt;  &lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/4347611351610683777-270159118924873757?l=scientist-at-work.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://scientist-at-work.blogspot.com/feeds/270159118924873757/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://www.blogger.com/comment.g?blogID=4347611351610683777&amp;postID=270159118924873757' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/270159118924873757'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/270159118924873757'/><link rel='alternate' type='text/html' href='http://scientist-at-work.blogspot.com/2011/10/collins-revised-edition-july-1-2003.html' title=''/><author><name>Astrologer</name><uri>http://www.blogger.com/profile/00339445991974149343</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-4347611351610683777.post-2698317350946980141</id><published>2011-10-29T21:16:00.001+05:30</published><updated>2011-10-29T21:16:18.106+05:30</updated><title type='text'></title><content type='html'>&lt;p align="justify"&gt;&lt;a href="http://lh5.ggpht.com/-3tXXkTS6ptI/Tqwfwhj6GCI/AAAAAAAADLE/YdOKI3FBNkg/s1600-h/image%25255B2%25255D.png"&gt;&lt;img title="image" style="border-right: 0px; border-top: 0px; display: inline; border-left: 0px; border-bottom: 0px" height="244" alt="image" src="http://lh3.ggpht.com/-QfcdgHLNf6U/Tqwfx9xzo7I/AAAAAAAADLM/GcIA-k-tBWk/image_thumb.png?imgmax=800" width="190" border="0" /&gt;&lt;/a&gt; &lt;/p&gt;  &lt;p align="justify"&gt;&lt;b&gt;Robert Bruce Thompson, &amp;quot;Illustrated Guide to Home Chemistry Experiments: All Lab, No Lecture&amp;quot;&lt;/b&gt;    &lt;br /&gt;O'R-il-y Media | 2008 | ISBN: 0596514921 | 432 pages | PDF | 11.77 Mb&lt;/p&gt;  &lt;p align="justify"&gt;For students, DIY hobbyists, and science buffs, who can no longer get real chemistry sets, this one-of-a-kind guide explains how to set up and use a home chemistry lab, with step-by-step instructions for conducting experiments in basic chemistry -- not just to make pretty colors and stinky smells, but to learn how to do real lab work:   &lt;br /&gt;• Purify alcohol by distillation    &lt;br /&gt;• Produce hydrogen and oxygen gas by electrolysis    &lt;br /&gt;• Smelt metallic copper from copper ore you make yourself    &lt;br /&gt;• Analyze the makeup of seawater, bone, and other common substances    &lt;br /&gt;• Synthesize oil of wintergreen from aspirin and rayon fiber from paper    &lt;br /&gt;• Perform forensics tests for fingerprints, blood, drugs, and poisons    &lt;br /&gt;From the 1930s through the 1970s, chemistry sets were among the most popular Christmas gifts, selling in the millions. But two decades ago, real chemistry sets began to disappear as manufacturers and retailers became concerned about liability. ,em&amp;gt;The Illustrated Guide to Home Chemistry Experiments steps up to the plate with lessons on how to equip your home chemistry lab, master laboratory skills, and work safely in your lab. The bulk of this book consists of 17 hands-on chapters that include multiple laboratory sessions on the following topics:    &lt;br /&gt;• Separating Mixtures    &lt;br /&gt;• Solubility and Solutions    &lt;br /&gt;• Colligative Properties of Solutions    &lt;br /&gt;• Introduction to Chemical Reactions &amp;amp; Stoichiometry    &lt;br /&gt;• Reduction-Oxidation (Redox) Reactions    &lt;br /&gt;• Acid-Base Chemistry    &lt;br /&gt;• Chemical Kinetics    &lt;br /&gt;• Chemical Equilibrium and Le Chatelier's Principle    &lt;br /&gt;• Gas Chemistry    &lt;br /&gt;• Thermochemistry and Calorimetry    &lt;br /&gt;• Electrochemistry    &lt;br /&gt;• Photochemistry    &lt;br /&gt;• Colloids and Suspensions    &lt;br /&gt;• Qualitative Analysis    &lt;br /&gt;• Quantitative Analysis    &lt;br /&gt;• Synthesis of Useful Compounds    &lt;br /&gt;• Forensic Chemistry    &lt;br /&gt;With plenty of full-color illustrations and photos, Illustrated Guide to Home Chemistry Experiments offers introductory level sessions suitable for a middle school or first-year high school chemistry laboratory course, and more advanced sessions suitable for students who intend to take the College Board Advanced Placement (AP) Chemistry exam. A student who completes all of the laboratories in this book will have done the equivalent of two full years of high school chemistry lab work or a first-year college general chemistry laboratory course.    &lt;br /&gt;This hands-on introduction to real chemistry -- using real equipment, real chemicals, and real quantitative experiments -- is ideal for the many thousands of young people and adults who want to experience the magic of chemistry.&lt;/p&gt;  &lt;p align="justify"&gt;&lt;b&gt;&lt;a href="http://www.filesonic.com/file/1123918854/0596514921.pdf"&gt;FileSonic&lt;/a&gt; | &lt;a href="http://www.easy-share.com/1915856747/0596514921.pdf"&gt;EasyShare&lt;/a&gt;&lt;/b&gt;&lt;/p&gt;  &lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/4347611351610683777-2698317350946980141?l=scientist-at-work.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://scientist-at-work.blogspot.com/feeds/2698317350946980141/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://www.blogger.com/comment.g?blogID=4347611351610683777&amp;postID=2698317350946980141' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/2698317350946980141'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/2698317350946980141'/><link rel='alternate' type='text/html' href='http://scientist-at-work.blogspot.com/2011/10/robert-bruce-thompson-guide-to-home.html' title=''/><author><name>Astrologer</name><uri>http://www.blogger.com/profile/00339445991974149343</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><media:thumbnail xmlns:media='http://search.yahoo.com/mrss/' url='http://lh3.ggpht.com/-QfcdgHLNf6U/Tqwfx9xzo7I/AAAAAAAADLM/GcIA-k-tBWk/s72-c/image_thumb.png?imgmax=800' height='72' width='72'/><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-4347611351610683777.post-3947027878823679598</id><published>2011-10-29T21:11:00.001+05:30</published><updated>2011-10-29T21:11:48.165+05:30</updated><title type='text'></title><content type='html'>&lt;p align="justify"&gt;&lt;b&gt;Achieving Breakthrough Performance With Six Sigma&lt;/b&gt;&lt;/p&gt;  &lt;p align="justify"&gt;ASF file | 34.9MB | 100kbps | Audio MP3 | 128 kbps | CBR Stereo&lt;/p&gt;  &lt;p align="justify"&gt;DESCRIPTION:    &lt;br /&gt;What is Six Sigma? How is Six Sigma applicable to our organization? What is the Six Sigma process roadmap? What are the benefits of using a Six Sigma process?     &lt;br /&gt;Gary Gack, a Founder and Managing Partner of Six Sigma Advantage, explains the concepts of Six Sigma, and their application to business processes -- with a focus on software and IT. In interviews, Ken Edwards and Noah Hill of IDX Corporation describe how the software provider to hospitals and group practices is using Six Sigma to optimize development projects. Gack begins the program by defining Six Sigma, and showing how applying its principles drives bottom-line results. He explores the Six Sigma process roadmap, and then explains how the process is adapted for software and IT. Gack shows how organizations can use Six Sigma to evaluate the ‘voice of the customer,’ and balance it with the ‘voice of business.’ Next, he describes how to use Six Sigma for process improvement. Gack concludes with some key considerations for getting started with Six Sigma. This revised version of one of WatchIT’s most requested programs has been updated with new multimedia resources, such as Web links and white papers.     &lt;br /&gt;After watching this program, you will:     &lt;br /&gt;~ Understand the basics of the Six Sigma process;     &lt;br /&gt;~ Learn how to use Six Sigma for process improvement; and     &lt;br /&gt;~ Be able to evaluate its applicability to your company’s situation.     &lt;br /&gt;PROGRAM TOPICS:     &lt;br /&gt;INTRODUCTION     &lt;br /&gt;AGENDA     &lt;br /&gt;SIX SIGMA EXPERTS FEATURED IN THIS PROGRAM     &lt;br /&gt;PROGRAM ROI     &lt;br /&gt;WHAT IS SIX SIGMA?     &lt;br /&gt;Six Sigma Is a Cross-Discipline Framework     &lt;br /&gt;Six Sigma Frameworks: DMAIC and DMADV     &lt;br /&gt;Six Sigma Is a Process Metric     &lt;br /&gt;What Six Sigma Is Not     &lt;br /&gt;Why Should CIOs and Software IT Managers Care About Six Sigma?     &lt;br /&gt;THE SIX SIGMA PROCESS ROADMAP     &lt;br /&gt;Six Sigma Roadmap: Define Phase     &lt;br /&gt;Six Sigma Roadmap: Measure Phase     &lt;br /&gt;Six Sigma Roadmap: Analyze Phase     &lt;br /&gt;Six Sigma Roadmap: Is the Product or Process Capable?     &lt;br /&gt;Six Sigma Roadmap: Improve and Design Phases     &lt;br /&gt;Six Sigma Roadmap: Control and Verify Phases     &lt;br /&gt;Six Sigma Roadmap: Key Outcomes     &lt;br /&gt;SIX SIGMA CASE STUDY: IDX ENTERPRISE SOLUTIONS DIVISION     &lt;br /&gt;Ken Edwards: IDX Six Sigma Case Study     &lt;br /&gt;Noah Hill: IDX Six Sigma Case Study     &lt;br /&gt;Noah Hill: IDX Case Study – Use Six Sigma to Improve Client Support     &lt;br /&gt;Ken Edwards: IDX Case Study – Six Sigma Forces Interdepartmental Analysis     &lt;br /&gt;Ken Edwards: IDX Case Study – Six Sigma Approach Is Vital for Software Firms     &lt;br /&gt;Noah Hill: IDX Case Study – The Value of Strict Six Sigma Guidelines     &lt;br /&gt;Ken Edwards: IDX Case Study – Recommendations for Applying Six Sigma     &lt;br /&gt;WHAT IS DIFFERENT ABOUT SIX SIGMA FOR SOFTWARE AND IT     &lt;br /&gt;Factors Contributing to the High Rate of Software Project Failures     &lt;br /&gt;Six Sigma Addresses Obstacles to Software Project Improvement     &lt;br /&gt;Software Process Improvements Can Be Achieved With Six Sigma     &lt;br /&gt;USING SIX SIGMA TO EVALUATE THE VOICE OF THE CUSTOMER     &lt;br /&gt;Six Sigma Tool: Concept Selection Scorecard     &lt;br /&gt;Six Sigma Concept Selection Scorecard: Voice of the Customer Structure     &lt;br /&gt;Six Sigma Concept Selection Scorecard: Voice of the Customer – Kano Classifications     &lt;br /&gt;Six Sigma Concept Selection Scorecard: Voice of the Customer – Customer Importance     &lt;br /&gt;Six Sigma Concept Selection Scorecard: Voice of the Customer – Concept and Measures     &lt;br /&gt;Six Sigma Concept Selection Scorecard: Voice of the Customer – Size     &lt;br /&gt;Six Sigma Concept Selection Scorecard: Voice of the Customer – Customer Satisfaction     &lt;br /&gt;A Structured Six Sigma Scorecard Makes Complexity Manageable     &lt;br /&gt;Six Sigma Concept Selection Scorecard: Voice of the Customer – Business Value     &lt;br /&gt;Six Sigma Concept Selection Scorecard: Voice of the Customer – Feature Value Adjustment     &lt;br /&gt;Six Sigma Concept Selection Scorecard: Voice of the Customer – Overall Results     &lt;br /&gt;USING SIX SIGMA TO EVALUATE THE VOICE OF THE BUSINESS     &lt;br /&gt;Six Sigma Concept Selection Scorecard: Voice of the Business – Productivity Index     &lt;br /&gt;Six Sigma Concept Selection Scorecard: Voice of the Business – Schedule Compression     &lt;br /&gt;Six Sigma Concept Selection Scorecard: Voice of the Business Considerations     &lt;br /&gt;Six Sigma Concept Selection Scorecard: Objective Results for What-If Scenarios     &lt;br /&gt;Large Software Projects Reap Benefits From Six Sigma Scorecard Analysis     &lt;br /&gt;USING SIX SIGMA FOR PROCESS IMPROVEMENT     &lt;br /&gt;Using Six Sigma DMAIC to Improve Productivity     &lt;br /&gt;Six Sigma Tool: Defect Analysis Scorecard     &lt;br /&gt;Six Sigma Defect Analysis As-Is Scorecard: Defect Distribution     &lt;br /&gt;Six Sigma Defect Analysis As-Is Scorecard: Total Containment Effectiveness     &lt;br /&gt;Six Sigma Defect Analysis As-Is Scorecard: Defect Cost Analysis     &lt;br /&gt;Six Sigma Defect Analysis To-Be Scorecard: Defect Cost Analysis     &lt;br /&gt;Using Six Sigma DMAIC to Improve Productivity: Wrap-Up     &lt;br /&gt;KEY CONSIDERATIONS FOR GETTING STARTED WITH SIX SIGMA     &lt;br /&gt;Keys to Successful Six Sigma: Require a Sustained Corporate Initiative     &lt;br /&gt;Keys to Successful Six Sigma: Leverage the Six Sigma Language     &lt;br /&gt;Keys to Successful Six Sigma: Commit Time and Your Best Personnel     &lt;br /&gt;Keys to Successful Six Sigma: Use Aptly Trained Instructors     &lt;br /&gt;Keys to Successful Six Sigma: Integrate Additional Quality Initiatives     &lt;br /&gt;Download:     &lt;br /&gt;&lt;b&gt;&lt;a href="http://rapidshare.com/files/3348817/Achieving_Breakthrough_Performance_With_Six_Sigma.rar"&gt;http://rapidshare.com/files/3348817/Achieving_Breakthrough_Performance_With_Six_Sigma.rar&lt;/a&gt;&lt;/b&gt;&lt;/p&gt;  &lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/4347611351610683777-3947027878823679598?l=scientist-at-work.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://scientist-at-work.blogspot.com/feeds/3947027878823679598/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://www.blogger.com/comment.g?blogID=4347611351610683777&amp;postID=3947027878823679598' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/3947027878823679598'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/3947027878823679598'/><link rel='alternate' type='text/html' href='http://scientist-at-work.blogspot.com/2011/10/achieving-breakthrough-performance-with.html' title=''/><author><name>Astrologer</name><uri>http://www.blogger.com/profile/00339445991974149343</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-4347611351610683777.post-1796372781007748526</id><published>2011-10-20T22:08:00.001+05:30</published><updated>2011-10-20T22:08:09.796+05:30</updated><title type='text'></title><content type='html'>&lt;p&gt;&lt;a name="Databases"&gt;&lt;/a&gt;&lt;/p&gt;  &lt;h3&gt;[+] Databases&lt;/h3&gt;  &lt;p&gt;&lt;a href="http://zinc.docking.org"&gt;Zinc Database&lt;/a&gt;, &lt;a href="https://www.ebi.ac.uk/chembl/"&gt;ChEMBL&lt;/a&gt;, &lt;a href="http://cococo.unimore.it/"&gt;CoCoCo&lt;/a&gt;, &lt;a href="http://www.pdb.org/pdb/home/home.do"&gt;Protein DataBank (PDB)&lt;/a&gt;, &lt;a href="http://www.BindingMOAD.org"&gt;Binding MOAD (Mother Of All Database)&lt;/a&gt;, &lt;a href="http://lpdb.chem.lsa.umich.edu/"&gt;Ligand Protein DataBase (LPDB)&lt;/a&gt;, &lt;a href="http://bidd.nus.edu.sg/group/ttd/ttd.asp"&gt;TTD&lt;/a&gt;, ... &lt;/p&gt;  &lt;p&gt;&lt;a name="Chemical structure representations"&gt;&lt;/a&gt;&lt;/p&gt;  &lt;h3&gt;[+] Chemical structure representations&lt;/h3&gt;  &lt;p&gt;&lt;a href="http://www.cambridgesoft.com/software/chemdraw"&gt;ChemDraw&lt;/a&gt;, &lt;a href="http://www.chemaxon.com/products.html"&gt;MarvinSketch&lt;/a&gt;, &lt;a href="http://www.acdlabs.com/products/draw_nom/draw/chemsketch/"&gt;ACD/ChemSketch&lt;/a&gt;, &lt;a href="http://chemwriter.com/"&gt;ChemWriter&lt;/a&gt;, &lt;a href="http://chemhack.com/jsmoleditor/"&gt;jsMolEditor&lt;/a&gt;, &lt;a href="http://www.chemaxon.com/marvin/sketch/index.php"&gt;Marvin molecule editor and viewer&lt;/a&gt;, &lt;a href="http://www.cgl.ucsf.edu/chimera/index.html"&gt;UCSF Chimera&lt;/a&gt;, &lt;a href="http://pymol.org/"&gt;Pymol&lt;/a&gt;, &lt;a href="http://spdbv.vital-it.ch/"&gt;Swiss-PDB Viewer / DeepView&lt;/a&gt;, &lt;a href="http://www.daylight.com/dayhtml/doc/theory/theory.smiles.html"&gt;Daylight SMILES&lt;/a&gt;, &lt;a href="http://wwmm.ch.cam.ac.uk/inchifaq/"&gt;InChI&lt;/a&gt;, &lt;a href="http://www.tripos.com/tripos_resources/fileroot/pdfs/mol2_format.pdf"&gt;Tripos Mol2&lt;/a&gt;, &lt;a href="http://openbabel.org/wiki/Main_Page"&gt;OpenBabel&lt;/a&gt;, &lt;a href="http://www.schrodinger.com/products/14/10/"&gt;LigPrep&lt;/a&gt;, &lt;a href="http://www.molecular-networks.com/products/corina"&gt;Corina&lt;/a&gt;, &lt;a href="http://www.biosolveit.de/poseview/index.html?ct=1"&gt;PoseView&lt;/a&gt;, &lt;a href="http://accelrys.com/products/discovery-studio/visualization.html"&gt;DS Visualizer&lt;/a&gt;, &lt;a href="http://www.vcclab.org/lab/babel/"&gt;E-Babel&lt;/a&gt;, &lt;a href="http://www.molecular-networks.com/online_demos/corina_demo"&gt;Corina online demo&lt;/a&gt;, &lt;a href="http://cactus.nci.nih.gov/chemical/structure"&gt;Chemical Identifier Resolver&lt;/a&gt;, &lt;a href="http://itunes.apple.com/app/chemmobi/id320681328?mt=8"&gt;ChemMobi&lt;/a&gt;, ... &lt;/p&gt;  &lt;p&gt;&lt;a name="Molecular Modeling"&gt;&lt;/a&gt;&lt;/p&gt;  &lt;h3&gt;[+] Molecular Modeling&lt;/h3&gt;  &lt;p&gt;&lt;a href="http://www.charmm.org/"&gt;CHARMM&lt;/a&gt;, &lt;a href="http://www.gromacs.org/"&gt;GROMACS&lt;/a&gt;, &lt;a href="http://ambermd.org/"&gt;Amber&lt;/a&gt;, &lt;a href="http://www.swissparam.ch"&gt;SwissParam&lt;/a&gt;, &lt;a href="http://charmming.org/charmming/"&gt;CHARMMing.org&lt;/a&gt;, &lt;a href="http://davapc1.bioch.dundee.ac.uk/prodrg/"&gt;Dundee PRODRG2 Server&lt;/a&gt;, ... &lt;/p&gt;  &lt;p&gt;&lt;a name="Homology Modeling"&gt;&lt;/a&gt;&lt;/p&gt;  &lt;h3&gt;[+] Homology Modeling&lt;/h3&gt;  &lt;p&gt;&lt;a href="http://salilab.org/modeller/"&gt;Modeller&lt;/a&gt;, &lt;a href="http://zhanglab.ccmb.med.umich.edu/I-TASSER/"&gt;I-TASSER&lt;/a&gt;, &lt;a href="http://www.vlifesciences.com/products/VLifeMDS/Protein_Modeller.php"&gt;ProModel&lt;/a&gt;, &lt;a href="http://swissmodel.expasy.org/"&gt;SWISS-MODEL&lt;/a&gt;, &lt;a href="http://swissmodel.expasy.org/"&gt;SWISS-MODEL Repository&lt;/a&gt;, &lt;a href="http://modbase.compbio.ucsf.edu/modbase-cgi/index.cgi"&gt;ModBase&lt;/a&gt;, ... &lt;/p&gt;  &lt;p&gt;&lt;a name="Binding site prediction"&gt;&lt;/a&gt;&lt;/p&gt;  &lt;h3&gt;[+] Binding site prediction&lt;/h3&gt;  &lt;p&gt;&lt;a href="http://www.medit-pharma.com/index.php?page=med-sumo"&gt;MED-SuMo&lt;/a&gt;, &lt;a href="http://www.caver.cz/"&gt;CAVER&lt;/a&gt;, &lt;a href="http://cssb.biology.gatech.edu/findsite"&gt;FINDSITE&lt;/a&gt;, &lt;a href="http://cheminfo.u-strasbg.fr:8080/scPDB/2010/db_search"&gt;sc-PDB&lt;/a&gt;, &lt;a href="http://sts.bioengr.uic.edu/castp/"&gt;CASTp&lt;/a&gt;, &lt;a href="http://www.pocketome.org/"&gt;Pocketome&lt;/a&gt;, &lt;a href="http://www.sbg.bio.ic.ac.uk/%7E3dligandsite/"&gt;3DLigandSite&lt;/a&gt;, &lt;a href="http://metapocket.eml.org/"&gt;metaPocket&lt;/a&gt;, &lt;a href="http://mobyle.rpbs.univ-paris-diderot.fr/cgi-bin/portal.py?form=PASS"&gt;PASS&lt;/a&gt;, ... &lt;/p&gt;  &lt;p&gt;&lt;a name="Docking"&gt;&lt;/a&gt;&lt;/p&gt;  &lt;h3&gt;[+] Docking&lt;/h3&gt;  &lt;p&gt;&lt;a href="http://autodock.scripps.edu/"&gt;Autodock&lt;/a&gt;, &lt;a href="http://dock.compbio.ucsf.edu/"&gt;DOCK&lt;/a&gt;, &lt;a href="http://www.ccdc.cam.ac.uk/products/life_sciences/gold/"&gt;GOLD&lt;/a&gt;, &lt;a href="http://www.swissdock.ch"&gt;SwissDock&lt;/a&gt;, &lt;a href="http://www.dockingserver.com/web"&gt;DockingServer&lt;/a&gt;, &lt;a href="http://blaster.docking.org/"&gt;Blaster&lt;/a&gt;, ... &lt;/p&gt;  &lt;p&gt;&lt;a name="Screening"&gt;&lt;/a&gt;&lt;/p&gt;  &lt;h3&gt;[+] Screening&lt;/h3&gt;  &lt;p&gt;&lt;a href="http://www.biosolveit.de/CoLibri/"&gt;CoLibri&lt;/a&gt;, &lt;a href="http://www.molecular-networks.com/products/corina"&gt;Corina&lt;/a&gt;, &lt;a href="http://smoothdock.ccbb.pitt.edu/pharmer/"&gt;Pharmer&lt;/a&gt;, &lt;a href="http://blaster.docking.org/"&gt;Blaster&lt;/a&gt;, &lt;a href="http://cssb.biology.gatech.edu/findsitelhm"&gt;FINDSITE-LHM&lt;/a&gt;, &lt;a href="http://chemoinfo.ipmc.cnrs.fr/"&gt;e-LEA3D&lt;/a&gt;, ... &lt;/p&gt;  &lt;p&gt;&lt;a name="Ligand design"&gt;&lt;/a&gt;&lt;/p&gt;  &lt;h3&gt;[+] Ligand design&lt;/h3&gt;  &lt;p&gt;&lt;a href="http://www.biochem-caflisch.uzh.ch/download/"&gt;GANDI&lt;/a&gt;, &lt;a href="http://www.biosolveit.de/FlexNovo/"&gt;FlexNovo&lt;/a&gt;, &lt;a href="http://www.schrodinger.com/"&gt;BREED&lt;/a&gt;, &lt;a href="http://www.schrodinger.com/productpage/14/5/73/"&gt;Glide Fragment Library&lt;/a&gt;, &lt;a href="http://chemoinfo.ipmc.cnrs.fr/"&gt;e-LEA3D&lt;/a&gt;, &lt;a href="http://www.sbg.bio.ic.ac.uk/%7E3dligandsite/"&gt;3DLigandSite&lt;/a&gt;, &lt;a href="http://mobyle.rpbs.univ-paris-diderot.fr/cgi-bin/portal.py?form=PASS"&gt;PASS&lt;/a&gt;, ... &lt;/p&gt;  &lt;p&gt;&lt;a name="Binding free energy estimation"&gt;&lt;/a&gt;&lt;/p&gt;  &lt;h3&gt;[+] Binding free energy estimation&lt;/h3&gt;  &lt;p&gt;&lt;a href="http://sw16.im.med.umich.edu/software/xtool/"&gt;X-score&lt;/a&gt;, &lt;a href="http://pc1664.pharmazie.uni-marburg.de/drugscore/"&gt;DrugScore&lt;sup&gt;ONLINE&lt;/sup&gt;&lt;/a&gt;, &lt;a href="http://www.scfbio-iitd.res.in/software/drugdesign/bappl.jsp"&gt;BAPPL server&lt;/a&gt;, &lt;a href="http://www.scfbio-iitd.res.in/software/drugdesign/bapplz.jsp"&gt;BAPPL-Z server&lt;/a&gt;, ... &lt;/p&gt;  &lt;p&gt;&lt;a name="QSAR"&gt;&lt;/a&gt;&lt;/p&gt;  &lt;h3&gt;[+] QSAR&lt;/h3&gt;  &lt;p&gt;&lt;a href="http://www.biobyte.com/bb/prod/cqsar.html"&gt;cQSAR&lt;/a&gt;, &lt;a href="http://www.biobyte.com/bb/prod/clogp40.html"&gt;clogP&lt;/a&gt;, &lt;a href="http://www.tripos.com/index.php?family=modules,SimplePage,,,&amp;amp;page=ClogP"&gt;ClogP/CMR&lt;/a&gt;, &lt;a href="http://michem.disat.unimib.it/mole_db/"&gt;MOLE db&lt;/a&gt;, &lt;a href="http://cdb.ics.uci.edu/cgibin/LearningDatasetsWeb.psp"&gt;ChemDB/Datasets&lt;/a&gt;, &lt;a href="http://michem.disat.unimib.it/chm/download/datasets.htm"&gt;Datasets from the Milano Chemometrics and QSAR Research Group&lt;/a&gt;, &lt;a href="http://cdb.ics.uci.edu/cgibin/tools/MolInfoWeb.psp"&gt;MolInfo&lt;/a&gt;, &lt;a href="http://www.vcclab.org/lab/edragon/"&gt;E-Dragon&lt;/a&gt;, &lt;a href="http://chemdb.ics.uci.edu/cgibin/PatternMatchCounterWeb.psp"&gt;Pattern Match Counter&lt;/a&gt;, ... &lt;/p&gt;  &lt;p&gt;&lt;a name="ADME Toxicity"&gt;&lt;/a&gt;&lt;/p&gt;  &lt;h3&gt;[-] ADME Toxicity&lt;/h3&gt;  &lt;p&gt;&lt;a href="http://www.schrodinger.com"&gt;QikProp&lt;/a&gt;, &lt;a href="http://q-pharm.com/category/uncategorized/"&gt;q-ADME&lt;/a&gt;, &lt;a href="http://q-pharm.com/category/uncategorized/"&gt;q-TOX&lt;/a&gt;, &lt;a href="http://www.vcclab.org/lab/alogps/"&gt;ALOGPS&lt;/a&gt;, &lt;a href="http://www.organic-chemistry.org/prog/peo/"&gt;OSIRIS Property Explorer&lt;/a&gt;, &lt;a href="http://apps.ideaconsult.net:8080/ToxPredict"&gt;ToxPredict&lt;/a&gt;, &lt;a href="http://miro.ifsc.usp.br/pkdb/"&gt;PK/DB&lt;/a&gt;, &lt;a href="http://www.leadscope.com/product_info.php?products_id=78"&gt;Leadscope Toxicity Database&lt;/a&gt;, &lt;a href="http://modem.ucsd.edu/adme/databases/databases.htm"&gt;The ADME databases&lt;/a&gt;, ... &lt;/p&gt;  &lt;h4&gt;Software &lt;/h4&gt;  &lt;ul&gt;   &lt;li&gt;&lt;a href="http://www.schrodinger.com"&gt;QikProp&lt;/a&gt;. Provides rapid ADME predictions of drug candidates. Distributed by Schrodinger. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://q-pharm.com/category/uncategorized/"&gt;q-ADME&lt;/a&gt;. Predicts the following properties: Drug half-life (T1/2); Fraction of oral dose absorbed (FA); Caco-2 permeability; Volume of distribution (VD); Octanol/water distribution coefficient (LogP). &lt;/li&gt;    &lt;li&gt;&lt;a href="http://q-pharm.com/category/uncategorized/"&gt;q-TOX&lt;/a&gt;. Computes toxic effects of chemicals solely from their molecular structure (LD50, MRDD, side effects). &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.tripos.com/index.php?family=modules,SimplePage,,,&amp;amp;page=Volsurf+"&gt;VolSurf&lt;/a&gt;. Calculate ADME Properties and Create Predictive ADME Models. Distributed by Tripos. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.chemaxon.com/products/metabolizer-preview/"&gt;Metabolizer Preview&lt;/a&gt;. Enumerates all the possible metabolites of a given substrate, predicts the major metabolites and estimates metabolic stability. It can be used for the identification of metabolites by MS mass values, discovery of metabolically sensitive functionalities and toxicity prediction, and provide information related to the environmental effects of chemicals by bacterial degradation. Provided by ChemAxon. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.acdlabs.com/products/pc_admet/physchem/physchemsuite/"&gt;ACD/PhysChem Suite&lt;/a&gt;. Predicts basic physicochemical properties, like pKa, logP, logD, aqueous solubility and other molecular properties in seconds, usr a fragment-based models. Distributed by ACD/Labs. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.acdlabs.com/products/pc_admet/adme/adme/"&gt;ACD/ADME Suite&lt;/a&gt;. Predicts of ADME properties from chemical structure, like Predict P-gp specificity, oral bioavailability, passive absorption, blood brain barrier permeation, distribution, P450 inhibitors, substrates and inhibitors, maximum recommended daily dose, Abraham-type (Absolv) solvation parameters. Distributed by ACD/Labs. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.acdlabs.com/products/pc_admet/tox/tox/"&gt;ACD/Tox Suite&lt;/a&gt;. Collection of software modules that predict probabilities for basic toxicity endpoints. Several modules including hERG Inhibition, CYP3A4 Inhibition, Genotoxicity, Acute Toxicity, Aquatic Toxicity, Eye/Skin Irritation, Endocrine System Disruption, and Health Effects. Distributed by ACD/Labs. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.acdlabs.com/products/pc_admet/physchem/dmso/"&gt;ACD/DMSO Solubility&lt;/a&gt;. Predicts solubility in DMSO solution. Distributed by ACD/Labs. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://silicos.silicos-it.com/sieve.html"&gt;Sieve&lt;/a&gt;. Program for filtering out molecules with unwanted properties. Open source software distributed by Silicos. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.sbw.fi/ontomine"&gt;ONTOMINE&lt;/a&gt;. Fingerprints-based data mining software used for automated Molecular Mining for BioActivity, Toxicity and Side effect prediction. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.mti.univ-paris-diderot.fr/fr/downloads.html"&gt;FAF-Drugs2&lt;/a&gt;. Free package for in silico ADMET filtering. Distributed by the university of Paris Diderot. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.simulations-plus.com/Products.aspx?grpID=1&amp;amp;cID=11&amp;amp;pID=13"&gt;ADMET Predictor&lt;/a&gt;. Software for advanced predictive modeling of ADMET properties. Distributed by Simulations plus, Inc. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.simulations-plus.com/Products.aspx?grpID=1&amp;amp;cID=13&amp;amp;pID=12"&gt;ClassPharmer&lt;/a&gt;. ClassPharmer is a cheminformatics platform for lead identification and prioritization, de novo design, scaffold hopping and lead optimization. The software is divided into four modules – Basic, SAR, Design and ADMET – each of which can be licensed separately. Distributed plu Simulation Plus, Inc. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.simulations-plus.com/Products.aspx?grpID=3&amp;amp;cID=16&amp;amp;pID=11"&gt;GastroPlus&lt;/a&gt;. Simulates the oral absorption, pharmacokinetics, and pharmacodynamics for drugs in human and preclinical species. The underlying model is the Advanced Compartmental Absorption and Transit (ACAT) model. Distributed plu Simulation Plus, Inc. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://accelrys.com/products/discovery-studio/predictive-toxicology.html"&gt;Discovery Studio TOPKAT Software&lt;/a&gt;. Cross-validated models for the assessments of chemical toxicity from chemical's molecular structure. Distributed by Accelrys. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://accelrys.com/products/discovery-studio/admet.html"&gt;Discovery Studio ADMET Software&lt;/a&gt;. The ADMET Collection provides components that calculate predicted absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties for collections of molecules. Distributed by Accelrys. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.bmdrc.org/04_product/01_preadme.asp"&gt;PreADME&lt;/a&gt;. Calculates molecular descriptors. Predicts Drug-likeness. ADME predictions. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.molcode.com/?mid=18"&gt;Molcode Toolbox&lt;/a&gt;. Molcode Toolbox allows prediction of medicinal and toxicological endpoints for a large variety of chemical structures, using proprietary QSAR models. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.epa.gov/opptintr/exposure/pubs/episuite.htm"&gt;KOWWIN - EPI Suite&lt;/a&gt;. Estimates the log octanol-water partition coefficient of chemicals using an atom/fragment contribution method. Distributed by the EPA~s Office of Pollution Prevention Toxics and Syracuse Research Corporation (SRC) as part of the EPI Suite. For Windows. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.goldenhelix.com/Drug_Discovery/predictive_adme_tox.html"&gt;ChemTree&lt;/a&gt;. Predicts ADME/Tox properties using QSAR. Distributed by Golden Helix. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.epa.gov/oppt/sf/pubs/oncologic.htm"&gt;OncoLogic&lt;/a&gt;. Evaluates the likelihood that a chemical may cause cancer, using SAR analysis, experts decision mimicking and knowledge of how chemicals cause cancer in animals and humans. Distributed for free by the US Environmental Protection Agency (EPA). &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.compudrug.com/"&gt;HazardExpert Pro&lt;/a&gt;. Predicts the toxicity of organic compounds based on toxic fragments. Distributed by CompuDrug. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.compudrug.com/"&gt;MetabolExpert&lt;/a&gt;. Predicts the most common metabolic pathways in animals, plants or through photodegradation. Distributed by CompuDrug. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.compudrug.com/"&gt;MEXAlert&lt;/a&gt;. Identifies compounds that have a high probability of being eliminated from the body in a first pass through the liver and kidney. Distributed by CompuDrug. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.compudrug.com/"&gt;PrologP/PrologD&lt;/a&gt;. Predicts the logP/logD values using a combination of linear and neural network methods. Distributed by CompuDrug. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.leadscope.com/data_management/"&gt;Leadscope&lt;/a&gt;. Estimates toxiticy using QSAR. Distributed by Leadscope. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.ncbi.nlm.nih.gov/pubmed/7678916"&gt;COMPACT&lt;/a&gt;. Identifies potential carcinogenicity or toxicities mediated by CYP450s. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.multicase.com/products/prod03.htm"&gt;CASETOX&lt;/a&gt;. Uses MCASE to predict toxicity. Distributed by MultiCASE. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.multicase.com/products/prod05.htm"&gt;META&lt;/a&gt;. Predicts metabolic paths of molecules. Distributed by MultiCASE. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.systems-biology.com/products/pk-sim/packages.html"&gt;PK-Sim&lt;/a&gt;. Predicts ADMET properties. Distributed by Bayer technology Services. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.simcyp.com"&gt;SimCYP&lt;/a&gt;. The SimCYP Population-based ADME Simulator is a platform for the prediction of drug-drug interactions and pharmacokinetic outcomes in clinical populations. Distributed by SimCYP. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.cyprotex.com/cloepredict/"&gt;Cloe Predict&lt;/a&gt;. Pharmacokinetic prediction using phisiologically based pharmacokinetic modeling (PBPK), and prediction of human intestinal absorption using solubility, pKa and Caco-2 permeability data. Distributed by Cyprotex Discovery. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www3.bio-rad.com"&gt;KnowItAll - ADME | Tox Edition&lt;/a&gt;. Prediction of ADME Tox properties using consensus modeling. Distributed by Bio-Rad Laboratories. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.ncbi.nlm.nih.gov/pubmed"&gt;PASS&lt;/a&gt;. Identification of probable targets and mechanisms of toxicity. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.genego.com/metadrug.php"&gt;MetaDrug&lt;/a&gt;. Predicts toxicity and metabolism of compounds using &amp;gt;70 QSAR models for ADME/Tox properties. Distributed by GeneGo. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.fqs.pl/chemistry_materials_life_science/products/admeworks_modelbuilder"&gt;ADMEWORKS ModelBuilder&lt;/a&gt;. Builds QSAR/QSPR models that can later be used for predicting various chemical and biological properties of compounds. Models are based on values of physicochemical, topological, geometrical, and electronic properties derived from the molecular structure, and can be imported into ADMEWORKS Predictor. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.fqs.pl/chemistry_materials_life_science/products/admeworks_predictor"&gt;ADMEWORKS Predictor&lt;/a&gt;. Virtual (in silico) screening system intended for simultaneous evaluation of the ADMET properties of compounds. It complements existing in silico technologies for evaluating pharmacological properties. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.moldiscovery.com/soft_metasite.php"&gt;MetaSite&lt;/a&gt;. Computational procedure that predicts metabolic transformations related to cytochrome-mediated reactions in phase I metabolism. The method predicts &amp;quot;hot spots&amp;quot; in the molecule, suggests the regions that contribute most towards each &amp;quot;hot spot&amp;quot;, providing additional derivation sites for chemists to design new stable compounds, predicts the structures of the most likely metabolites and warns about the potential of CYP mechanism-based inhibition. Distributed by Moldiscovery. &lt;/li&gt; &lt;/ul&gt;  &lt;h4&gt;Web services &lt;/h4&gt;  &lt;ul&gt;   &lt;li&gt;&lt;a href="http://www.vcclab.org/lab/alogps/"&gt;ALOGPS&lt;/a&gt;. On-line prediction of logP, water solubility and pKa(s) of compounds for drug design (ADME/T and HTS) and environmental chemistry studies. ALOGPS also displays values calculated with Pharma Algorithms LogP, LogS and pKa, Actelion LogP &amp;amp; LogS (many thanks to Dr Thomas Sander), Molinspiration logP, KOWWIN logP, ALOGP (Viswanadhan et al, 1989), MLOGP (Moriguchi et al, 1992) implemented in the DragonX software, XLOGP2 and XLOGP3 programs and ChemAxon logP calculator &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.organic-chemistry.org/prog/peo/"&gt;OSIRIS Property Explorer&lt;/a&gt;. Integral part of Actelion's inhouse substance registration system. Calculates on-the-fly various drug-relevant properties for drawn chemical structures, including some toxicity and druglikeness properties. Maintained by the Virtual Computational Chemistry Laboratory. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://apps.ideaconsult.net:8080/ToxPredict"&gt;ToxPredict&lt;/a&gt;. Web service to estimate toxicological hazard of a chemical structure. Molecules can be drawn, or input by any identifier (CAS, Name, EINECS) or SMILES or InChI or URL of OpenTox compound or dataset. Provided by OpenTox. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.toxcreate.net/create"&gt;ToxCreate&lt;/a&gt;. Web service to create computational models to predict toxicity. Provided by OpenTox. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://mobyle.rpbs.univ-paris-diderot.fr/cgi-bin/portal.py?form=admetox"&gt;ADME-Tox&lt;/a&gt;. ADME-Tox (poor absorption, distribution, metabolism, elimination (ADME) or toxicity) filtering for small compounds, based on a set of elementary rules. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://stitch.embl.de/"&gt;STITCH&lt;/a&gt;. Resource to explore known and predicted interactions of chemicals and proteins. Chemicals are linked to other chemicals and proteins by evidence derived from experiments, databases and the literature. STITCH contains interactions for over 74,000 small molecules and over 2.5 million proteins in 630 organisms. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://mobyle.rpbs.univ-paris-diderot.fr/cgi-bin/portal.py?form=PASS"&gt;XScore-LogP&lt;/a&gt;. Calculates the octanol/water partition coefficient for a drug, based on a feature of the X-Score program. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.biograf.ch/index.php?id=projects&amp;amp;subid=virtualtoxlab"&gt;VirtualToxLab&lt;/a&gt;. ''In silico'' tool for predicting the toxic (endocrine-disrupting) potential of existing and hypothetical compounds (drugs, chemicals, natural products) by simulating and quantifying their interactions towards a series of proteins known to trigger adverse effects using automated, flexible docking combined with multi-dimensional QSAR (mQSAR). &lt;/li&gt;    &lt;li&gt;&lt;a href="http://59.78.96.61/pharmmapper/"&gt;PharmMapper&lt;/a&gt;. Freely accessed web-server designed to identify potential target candidates for the given probe small molecules (drugs, natural products, or other newly discovered compounds with binding targets unidentified) using pharmacophore mapping approach. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://jing.cz3.nus.edu.sg/cgi-bin/model/model.cgi"&gt;MODEL - Molecular Descriptor Lab&lt;/a&gt;. Computes structural and physichemical properties of molecules from their 3D structures. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://preadmet.bmdrc.org/"&gt;PreADMET&lt;/a&gt;. Web-based application for predicting ADME data and building drug-like library using in silico method. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.simcyp.com/ProductServices/FreeADMETools/"&gt;Free ADME Tools&lt;/a&gt;. ADME Prediction Toolbox of the SimCYP application provided free of charge by SimCYP. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://umbbd.msi.umn.edu/predict/"&gt;UM-BBD Pathway Prediction System&lt;/a&gt;. The PPS predicts plausible pathways for microbial degradation of chemical compounds. Predictions use biotransformation rules, based on reactions found in the UM-BBD database or in the scientific literature. Provided by the University of Minnesota. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www-metaprint2d.ch.cam.ac.uk/metaprint2d"&gt;MetaPrint2D&lt;/a&gt;. Metabolic site predictor. MetaPrint2D is a tool that predicts xenobiotic metabolism through data-mining and statistical analysis of known metabolic transformations reported in scientific literature. MetaPrint2D-React can make predictions concerning a wider range of reactions than MetaPrint2D, and is able to predict the types of transformation that can take place at each site of metabolism, and the likely metabolite formed. Provided by the University of Cambridge. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www-metaprint2d.ch.cam.ac.uk/metaprint2d-react"&gt;MetaPrint2D-React.&lt;/a&gt;. Metabolic site predictor. MetaPrint2D is a tool that predicts xenobiotic metabolism through data-mining and statistical analysis of known metabolic transformations reported in scientific literature. MetaPrint2D, which predicts sites of phase I metabolism, defined as the addition of oxygen (e.g. hydroxylation, oxidation, epoxidation) or elimination reactions. Provided by the University of Cambridge. &lt;/li&gt; &lt;/ul&gt;  &lt;h4&gt;Databases &lt;/h4&gt;  &lt;ul&gt;   &lt;li&gt;&lt;a href="http://miro.ifsc.usp.br/pkdb/"&gt;PK/DB&lt;/a&gt;. Freely available database for pharmacokinetic properties, designed with the aim of creating robust databases for pharmacokinetic studies and in silico ADME (Absorption, Distribution, Metabolism, and Excretion) prediction. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.leadscope.com/product_info.php?products_id=78"&gt;Leadscope Toxicity Database&lt;/a&gt;. Database of 160,000 chemical structures with toxicity data. Distributed by Leadscope. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://modem.ucsd.edu/adme/databases/databases.htm"&gt;The ADME databases&lt;/a&gt;. Databases for benchmarking the results of experiments, validating the accuracy of existing ADME predictive models, and building new predictive models. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.aureus-sciences.com/aureus/web/guest/adme-overview"&gt;The ADME database&lt;/a&gt;. Provides comprehensive data for structurally diverse compounds associated with known ADME properties, including human oral bioavailability, enzymes metabolism, inhibition and induction, transport, plasma protein binding and bloodbrain barrier. Distributed by Aureus. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://bioinf.charite.de/supertarget/"&gt;SuperTarget Database&lt;/a&gt;. Database of about 7300 drug-target relations. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://sideeffects.embl.de/"&gt;SIDER&lt;/a&gt;. (Side Effect Resource). contains information on marketed medicines and their recorded adverse drug reactions. The information is extracted from public documents and package inserts. The available information include side effect frequency, drug and side effect classifications as well as links to further information, for example drug–target relations. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.fqs.pl/chemistry_materials_life_science/products/adme_db"&gt;ADME DB&lt;/a&gt;. Database containing data on interactions of substances with Drug Metabolizing Enzymes and Drug Transporters. It is designed for use in drug research and development, including drug-drug interactions and ADME (Absorption, Distribution, Metabolism and Excretion) studies. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.leadscope.com/product_info.php?products_id=77"&gt;SAR Genetox Database&lt;/a&gt;. Genetic toxicity database to be used as a resource for developing predictive modeling training sets. Distributed by Leadscope. &lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.leadscope.com/product_info.php?products_id=65"&gt;SAR Carcinogenicity Database&lt;/a&gt;. Carcinogenicity database with validated structures to be used as a resource for preparing training sets. Distributed by Leadscope. &lt;/li&gt; &lt;/ul&gt;  &lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/4347611351610683777-1796372781007748526?l=scientist-at-work.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://scientist-at-work.blogspot.com/feeds/1796372781007748526/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://www.blogger.com/comment.g?blogID=4347611351610683777&amp;postID=1796372781007748526' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/1796372781007748526'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/1796372781007748526'/><link rel='alternate' type='text/html' href='http://scientist-at-work.blogspot.com/2011/10/databases-zinc-database-chembl-cococo.html' title=''/><author><name>Astrologer</name><uri>http://www.blogger.com/profile/00339445991974149343</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-4347611351610683777.post-914753006306687245</id><published>2011-10-12T23:03:00.001+05:30</published><updated>2011-10-12T23:03:31.663+05:30</updated><title type='text'></title><content type='html'>&lt;p align="justify"&gt;&lt;img alt="" src="http://www.caesar-project.eu/software/images/caesar_bar_v2.png" /&gt;&lt;/p&gt;  &lt;p align="justify"&gt;The new version of the CAESAR models, that will be made freely available soon, will include some &lt;b&gt;new features&lt;/b&gt;, helpful both to improve usability of the software and to obtain more reliable predictions.&lt;/p&gt;  &lt;p align="justify"&gt;&lt;a href="http://www.caesar-project.eu/software/?page=cv2intro#standalone"&gt;&lt;img alt="TRY CAESAR v2.0" src="http://www.caesar-project.eu/software/images/button_trycv2.png" /&gt;&lt;/a&gt;&lt;a href="http://www.caesar-project.eu/"&gt;&lt;img alt="USE THE CURRENT VERSION" src="http://www.caesar-project.eu/software/images/button_usecurversion.png" /&gt;&lt;/a&gt;&lt;/p&gt;  &lt;h4 align="justify"&gt;Importing and loading structures&lt;/h4&gt;  &lt;p align="justify"&gt;&lt;a href="http://www.caesar-project.eu/"&gt;&lt;img alt="" src="http://www.caesar-project.eu/software/cv2prev/draw.png" width="160" border="0" /&gt;&lt;/a&gt;&lt;/p&gt;  &lt;p align="justify"&gt;With CAESAR 2.0 you will be able to submit molecules in many different ways:&lt;/p&gt;  &lt;ul&gt;   &lt;li&gt;     &lt;div align="justify"&gt;Import multiple molecules in &lt;b&gt;sdf&lt;/b&gt; and/or &lt;b&gt;smi&lt;/b&gt; file format &lt;/div&gt;   &lt;/li&gt;    &lt;li&gt;     &lt;div align="justify"&gt;&lt;b&gt;Draw structure&lt;/b&gt; using the internal editor* &lt;/div&gt;   &lt;/li&gt;    &lt;li&gt;     &lt;div align="justify"&gt;Enter molecules one-by-one using &lt;b&gt;SMILES&lt;/b&gt; format, &lt;b&gt;molecule name&lt;/b&gt; (IUPAC) and &lt;b&gt;CAS&lt;/b&gt; number &lt;/div&gt;   &lt;/li&gt; &lt;/ul&gt;  &lt;p align="justify"&gt;&lt;img alt="" src="http://www.caesar-project.eu/software/images/chemaxon.png" /&gt;&lt;/p&gt;  &lt;p align="justify"&gt;* The molecule editor included is part of the ChemAxon Marvin package.   &lt;br /&gt;More info at &lt;a href="http://www.chemaxon.com/marvin/help/index.html"&gt;http://www.chemaxon.com/marvin/help/index.html&lt;/a&gt;&lt;/p&gt;  &lt;p align="justify"&gt;&lt;i&gt;The image on the right, as well as all the images used as preview in this page, refers to the &lt;a href="http://www.caesar-project.eu/software/?page=cv2intro#standalone"&gt;stand-alone&lt;/a&gt; version of CAESAR software, which anticipate most of the new features of CAESAR 2.0.&lt;/i&gt;&lt;/p&gt;  &lt;h4 align="justify"&gt;Results reliability &amp;amp; model applicability domain&lt;/h4&gt;  &lt;p align="justify"&gt;&lt;a href="http://www.caesar-project.eu/"&gt;&lt;img alt="" src="http://www.caesar-project.eu/software/cv2prev/pred.png" width="160" border="0" /&gt;&lt;/a&gt;    &lt;br /&gt;&lt;a href="http://www.caesar-project.eu/"&gt;&lt;img alt="" src="http://www.caesar-project.eu/software/cv2prev/AD.png" width="160" border="0" /&gt;&lt;/a&gt;&lt;/p&gt;  &lt;p align="justify"&gt;According to REACH, user should check if &amp;quot;&lt;i&gt;the substance is included in the applicability domain of the model&lt;/i&gt;&amp;quot;, for a correct use of the (quantitative) structure-activity relationship (Q)SAR model.    &lt;br /&gt;CAESAR 2.0 integrates a tool to &lt;b&gt;assess the applicability domain&lt;/b&gt; (AD), through &lt;b&gt;quantitative&lt;/b&gt; and &lt;b&gt;visual ways&lt;/b&gt;. This free tool is based on:&lt;/p&gt;  &lt;ul&gt;   &lt;li&gt;     &lt;div align="justify"&gt;Chemiometric check, &lt;/div&gt;   &lt;/li&gt;    &lt;li&gt;     &lt;div align="justify"&gt;Fragments for outliers, &lt;/div&gt;   &lt;/li&gt;    &lt;li&gt;     &lt;div align="justify"&gt;Similarity index, &lt;/div&gt;   &lt;/li&gt;    &lt;li&gt;     &lt;div align="justify"&gt;Prediction Concordance with experimental values, &lt;/div&gt;   &lt;/li&gt;    &lt;li&gt;     &lt;div align="justify"&gt;Prediction Accuracy of the prediction, &lt;/div&gt;   &lt;/li&gt;    &lt;li&gt;     &lt;div align="justify"&gt;Uncertainty of the prediction. &lt;/div&gt;   &lt;/li&gt; &lt;/ul&gt;  &lt;p align="justify"&gt;Thus, the CAESAR's tool is based not only on the chemical information, as the typical AD tools, but &lt;b&gt;also on toxicity results&lt;/b&gt;.    &lt;br /&gt;Furthermore, it uses not only &lt;i&gt;a priori&lt;/i&gt; data (from the chemical structure), but also &lt;i&gt;a posteriori&lt;/i&gt; ones, from the results of the models. This tool proved to discriminate cases where QSAR can be applied, and cases were there may be problems.&lt;/p&gt;  &lt;p align="justify"&gt;&lt;img alt="" src="http://www.caesar-project.eu/software/images/warnbox_tl.png" /&gt; &lt;img alt="" src="http://www.caesar-project.eu/software/images/warnbox_tr.png" /&gt;&lt;/p&gt;  &lt;p align="justify"&gt;&lt;img alt="" src="http://www.caesar-project.eu/software/images/warning.png" /&gt; &lt;b&gt;WARNING:&lt;/b&gt; the &lt;b&gt;MUTAGENICITY&lt;/b&gt; model could classify a compound as mutagen even if it is formally out of the applicability domain. This behaviour is normal for this model and it is related to the use of &lt;b&gt;structural alerts&lt;/b&gt; &lt;a href="http://www.caesar-project.eu/index.php?page=results&amp;amp;section=endpoint&amp;amp;ne=3#sec03"&gt;[ref.]&lt;/a&gt;.&lt;/p&gt;  &lt;p align="justify"&gt;&lt;img alt="" src="http://www.caesar-project.eu/software/images/warnbox_bl.png" /&gt; &lt;img alt="" src="http://www.caesar-project.eu/software/images/warnbox_br.png" /&gt;&lt;/p&gt;  &lt;p align="justify"&gt;Apart from this new feature, the user could still compare the prediction obtained for a molecule with those obtained for its &lt;b&gt;six most similar molecules&lt;/b&gt; founded in the dataset used to build the model, as in the current version of CAESAR models.&lt;/p&gt;  &lt;p align="justify"&gt;&lt;img alt="" src="http://www.caesar-project.eu/software/images/caesar_bar_v2_standalone.png" /&gt;&lt;/p&gt;  &lt;p align="justify"&gt;Most of the new features that will be present in the new CAESAR v2.0 software have been integrated in the stand-alone models for &lt;b&gt;Developmental Toxicity&lt;/b&gt; and &lt;b&gt;Mutagenicity&lt;/b&gt;&lt;/p&gt;  &lt;p align="justify"&gt;The stand-alone version of CAESAR can be downloaded for &lt;b&gt;free&lt;/b&gt; and have been developed to &lt;b&gt;work off-line&lt;/b&gt;. The CAS number input method is not available for this version of the software.&lt;/p&gt;  &lt;p align="justify"&gt;If you need help using the software, you can use the video tutorials we have prepared, that will guide you step-by-step explaining exactly how to use the CAESAR stand-alone software.&lt;/p&gt;  &lt;p align="justify"&gt;&lt;b&gt;DOWNLOAD NOW CAESAR v2.0&lt;/b&gt;    &lt;br /&gt;Download the stand-alone version of the CAESAR v2.0 QSAR model. This version could be run locally with no internet connection needs.    &lt;br /&gt;&lt;b&gt;Stand-alone version of the other CAESAR models will be available in the next future&lt;/b&gt;. &lt;/p&gt;  &lt;p align="justify"&gt;&lt;b&gt;DEVELOPMENTAL TOXICITY&lt;/b&gt;&lt;/p&gt;  &lt;p align="justify"&gt;&lt;a href="http://www.caesar-project.eu/software/caesar_devtox_standalone_installer.zip"&gt;&lt;img alt="DOWNLOAD" src="http://www.caesar-project.eu/software/images/caesar_button_download.png" /&gt;&lt;/a&gt;&lt;/p&gt;  &lt;p align="justify"&gt;SIZE: ~100 Mbyte&lt;/p&gt;  &lt;p align="justify"&gt;&lt;a href="http://www.caesar-project.eu/"&gt;&lt;img alt="HELP" src="http://www.caesar-project.eu/software/images/caesar_button_help.png" /&gt;&lt;/a&gt;&lt;/p&gt;  &lt;p align="justify"&gt;&lt;b&gt;MUTAGENICITY&lt;/b&gt;&lt;/p&gt;  &lt;p align="justify"&gt;&lt;a href="http://www.caesar-project.eu/software/caesar_mutagenicity_standalone_installer.zip"&gt;&lt;img alt="DOWNLOAD" src="http://www.caesar-project.eu/software/images/caesar_button_download.png" /&gt;&lt;/a&gt;&lt;/p&gt;  &lt;p align="justify"&gt;SIZE: ~156 Mbyte&lt;/p&gt;  &lt;p align="justify"&gt;&lt;a href="http://www.caesar-project.eu/"&gt;&lt;img alt="HELP" src="http://www.caesar-project.eu/software/images/caesar_button_help.png" /&gt;&lt;/a&gt;&lt;/p&gt;  &lt;p align="justify"&gt;&lt;b&gt;COMMON PROBLEMS AND SOLUTIONS&lt;/b&gt;&lt;/p&gt;  &lt;p align="justify"&gt;&lt;a href="http://www.caesar-project.eu/"&gt;Problem importing structures using &amp;quot;import structure(s) from file&amp;quot;.&lt;/a&gt;&lt;/p&gt;  &lt;h3 align="justify"&gt;Software requirements / specs:&lt;/h3&gt;  &lt;ul&gt;   &lt;li&gt;     &lt;div align="justify"&gt;Works on &lt;a href="http://www.caesar-project.eu/"&gt;Windows&lt;/a&gt; / &lt;a href="http://www.caesar-project.eu/"&gt;Mac&lt;/a&gt; / &lt;a href="http://www.caesar-project.eu/"&gt;Linux&lt;/a&gt; systems &lt;/div&gt;   &lt;/li&gt;    &lt;li&gt;     &lt;div align="justify"&gt;&amp;#160;&lt;/div&gt;   &lt;/li&gt;    &lt;li&gt;     &lt;div align="justify"&gt;&lt;b&gt;Needs JAVA™ 1.5&lt;/b&gt; or higher to run. &lt;a href="http://jdl.sun.com/webapps/getjava/BrowserRedirect?locale=en&amp;amp;host=java.com"&gt;Click here&lt;/a&gt; to download. &lt;/div&gt;   &lt;/li&gt;    &lt;li&gt;     &lt;div align="justify"&gt;The stand-alone version works on &lt;b&gt;32bit systems only&lt;/b&gt;. &lt;/div&gt;   &lt;/li&gt; &lt;/ul&gt;  &lt;p align="justify"&gt;&lt;img alt="" src="http://www.caesar-project.eu/software/images/caesar_bar_v2_support.png" /&gt;&lt;/p&gt;  &lt;p align="justify"&gt;If you need any information and/or support, please contact: &lt;a href="mailto:coord@caesar-project.eu"&gt;coord@caesar-project.eu&lt;/a&gt;.&lt;/p&gt;  &lt;p align="justify"&gt;The &lt;b&gt;CAESAR&lt;/b&gt; application has been developed by:&lt;/p&gt;  &lt;ul&gt;   &lt;li&gt;     &lt;div align="justify"&gt;Davide Bigoni (Bigoni Consulting) - &lt;i&gt;Client/Server infrastructure and services&lt;/i&gt;&lt;/div&gt;   &lt;/li&gt;    &lt;li&gt;     &lt;div align="justify"&gt;Alberto Manganaro (IRFMN) - &lt;i&gt;Implementation of Models, Molecular Descriptors and Applicability Domain&lt;/i&gt;&lt;/div&gt;   &lt;/li&gt;    &lt;li&gt;     &lt;div align="justify"&gt;Antonio Cassano (IRFMN) - &lt;i&gt;Implementation of Stand-alone versions&lt;/i&gt;&lt;/div&gt;   &lt;/li&gt;    &lt;li&gt;     &lt;div align="justify"&gt;Todd Martin (US EPA) - &lt;i&gt;Implementation of Molecular Descriptors&lt;/i&gt;&lt;/div&gt;   &lt;/li&gt;    &lt;li&gt;     &lt;div align="justify"&gt;Alexandros Spiliopoulos (University of Patras) - &lt;i&gt;Contribution to the implementation of Developmnetal Toxicity stand-alone&lt;/i&gt;&lt;/div&gt;   &lt;/li&gt;    &lt;li&gt;     &lt;div align="justify"&gt;Aris Avlonitis (University of Patras) - &lt;i&gt;Contribution to the implementation of Developmnetal Toxicity stand-alone&lt;/i&gt;&lt;/div&gt;   &lt;/li&gt;    &lt;li&gt;     &lt;div align="justify"&gt;Adriana Gomez Delgado (AGDesigner) - &lt;i&gt;Graphic layout&lt;/i&gt;&lt;/div&gt;   &lt;/li&gt;    &lt;li&gt;     &lt;div align="justify"&gt;Vittorio Castiglioni (IRFMN) - &lt;i&gt;Graphic contribution for the stand-alone&lt;/i&gt;&lt;/div&gt;   &lt;/li&gt; &lt;/ul&gt;  &lt;p align="justify"&gt;All the models implemented have been developed by the &lt;a href="http://www.caesar-project.eu/index.php?page=participants"&gt;CAESAR consortium&lt;/a&gt;.&lt;/p&gt;  &lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/4347611351610683777-914753006306687245?l=scientist-at-work.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://scientist-at-work.blogspot.com/feeds/914753006306687245/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://www.blogger.com/comment.g?blogID=4347611351610683777&amp;postID=914753006306687245' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/914753006306687245'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/914753006306687245'/><link rel='alternate' type='text/html' href='http://scientist-at-work.blogspot.com/2011/10/new-version-of-caesar-models-that-will.html' title=''/><author><name>Astrologer</name><uri>http://www.blogger.com/profile/00339445991974149343</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-4347611351610683777.post-4126551531297358425</id><published>2011-10-12T23:00:00.001+05:30</published><updated>2011-10-12T23:00:59.546+05:30</updated><title type='text'></title><content type='html'>&lt;h3&gt;Toxtree &lt;/h3&gt;  &lt;p align="justify"&gt;Toxtree is a flexible and user-friendly open-source application that places chemicals into categories and predicts various kinds of toxic effect by applying decision tree approaches. The following decision trees are currently implemented: &lt;/p&gt;  &lt;ul&gt;   &lt;ul&gt;     &lt;li&gt;       &lt;div align="justify"&gt;the &lt;a href="http://ihcp.jrc.ec.europa.eu/our_labs/computational_toxicology/background/TTC"&gt;&lt;u&gt;Cramer classification scheme&lt;/u&gt;&lt;/a&gt;&lt;/div&gt;     &lt;/li&gt;      &lt;li&gt;       &lt;div align="justify"&gt;an &lt;a href="http://ihcp.jrc.ec.europa.eu/our_labs/computational_toxicology/doc/Toxtree_Cramer_extensions.pdf"&gt;&lt;u&gt;Extended Cramer scheme&lt;/u&gt;&lt;/a&gt;&lt;/div&gt;     &lt;/li&gt;      &lt;li&gt;       &lt;div align="justify"&gt;the Kroes TTC decision tree &lt;/div&gt;     &lt;/li&gt;      &lt;li&gt;       &lt;div align="justify"&gt;the Verhaar scheme for aquatic modes of action &lt;/div&gt;     &lt;/li&gt;      &lt;li&gt;       &lt;div align="justify"&gt;rulebases for skin and eye irritation and corrosion &lt;/div&gt;     &lt;/li&gt;      &lt;li&gt;       &lt;div align="justify"&gt;the &lt;a href="http://ihcp.jrc.ec.europa.eu/our_labs/computational_toxicology/doc/EUR_23241_EN.pdf"&gt;&lt;u&gt;Benigni-Bossa rulebase&lt;/u&gt;&lt;/a&gt; for mutagenicity and carcinogenicity &lt;/div&gt;     &lt;/li&gt;      &lt;li&gt;       &lt;div align="justify"&gt;the &lt;a href="http://ihcp.jrc.ec.europa.eu/our_labs/computational_toxicology/doc/EUR_23844_EN.pdf"&gt;&lt;u&gt;ToxMic rulebase&lt;/u&gt;&lt;/a&gt; for the in vivo micronucleus assay&lt;/div&gt;     &lt;/li&gt;      &lt;li&gt;       &lt;div align="justify"&gt;structural alerts for identification of Michael Acceptors &lt;/div&gt;     &lt;/li&gt;      &lt;li&gt;       &lt;div align="justify"&gt;the &lt;a href="http://ihcp.jrc.ec.europa.eu/our_labs/computational_toxicology/doc/Toxtree_start_manual.pdf"&gt;&lt;u&gt;START rulebase&lt;/u&gt;&lt;/a&gt; for persistance / biodegradation potential &lt;/div&gt;     &lt;/li&gt;      &lt;li&gt;       &lt;div align="justify"&gt;structural alerts for the identification of organic functional groups (ISSFUNC rulebase)&lt;/div&gt;     &lt;/li&gt;   &lt;/ul&gt; &lt;/ul&gt;  &lt;p align="justify"&gt;   &lt;br /&gt;&lt;img height="345" alt="Toxtree" src="http://ihcp.jrc.ec.europa.eu/our_labs/computational_toxicology/image/toxtree01.jpg" width="434" /&gt;&lt;/p&gt;  &lt;p align="justify"&gt;Toxtree was developed by Ideaconsult Ltd (Sofia, Bulgaria) under the terms of a JRC contract. The software is made freely available as a service to scientific researchers and anyone with an interest in the application of computer-based estimation methods in the assessment of chemical toxicity.&lt;/p&gt;  &lt;h6 align="justify"&gt;Toxtree (Version 2.5.0) (August 2011)&lt;/h6&gt;  &lt;p align="justify"&gt;Toxtree 2.5.0 is a standalone software application that can be run on the Microsoft Windows operating system as well as other platforms with the Java 2 Runtime Environment (Standard Edition 1.5 or newer) installed.    &lt;br /&gt;Toxtree 2.5.0 can be downloaded from the Sourceforge website:&lt;/p&gt;  &lt;ul&gt;   &lt;blockquote&gt;     &lt;p align="justify"&gt;&lt;a href="http://sourceforge.net/projects/toxtree/"&gt;Visit the Sourceforge Toxtree download page.&lt;/a&gt;&lt;/p&gt;   &lt;/blockquote&gt; &lt;/ul&gt;  &lt;h6 align="justify"&gt;Toxtree (Version 1.60) - Download area (July 2009)&lt;/h6&gt;  &lt;p align="justify"&gt;   &lt;br /&gt;The Toxtree software can be downloaded (free of charge) from this website. Toxtree 1.60 is a standalone software application that can be run on the Microsoft Windows operating system as well as other platforms with the Java Runtime Environment (Standard Edition 1.5 or newer) installed.     &lt;br /&gt;The setup (&amp;quot;exe&amp;quot;) file contains all the required packages for Windows, including the Java(TM) Runtime Environment (JRE 5.0). The archive (&amp;quot;zip&amp;quot;) file is an archive of the program without the Windows installer; this can be used to run the program also on a Unix/Linux platform. &lt;/p&gt;  &lt;ul&gt;   &lt;blockquote&gt;     &lt;p align="justify"&gt;&lt;a href="http://ihcp.jrc.ec.europa.eu/our_labs/computational_toxicology/doc/Toxtree_user_manual.pdf"&gt;Download Toxtree Installation Manual&lt;/a&gt;&lt;/p&gt;   &lt;/blockquote&gt;    &lt;blockquote&gt;     &lt;p align="justify"&gt;&lt;a href="http://ihcp.jrc.ec.europa.eu/our_labs/computational_toxicology/doc/Toxtree_user_manual.pdf"&gt;Download Toxtree User Manual&lt;/a&gt;&lt;/p&gt;   &lt;/blockquote&gt;    &lt;blockquote&gt;     &lt;p align="justify"&gt;&lt;a href="http://ihcp.jrc.ec.europa.eu/our_labs/computational_toxicology/doc/Toxtree-v1.60-setup.exe"&gt;Download Toxtree 1.60 exe file (for Windows; JRE 5.0 embedded)&lt;/a&gt;&lt;/p&gt;   &lt;/blockquote&gt;    &lt;blockquote&gt;     &lt;p align="justify"&gt;&lt;a href="http://ihcp.jrc.ec.europa.eu/our_labs/computational_toxicology/doc/Toxtree-v1.60.zip"&gt;Download Toxtree 1.60 zip archive (for other platforms; no JRE 5.0, no installer)&lt;/a&gt;&lt;/p&gt;   &lt;/blockquote&gt; &lt;/ul&gt;  &lt;p align="justify"&gt;   &lt;br /&gt;In addition to the rulebases already implemented in Toxtree 1.60, the following plug-in was developed by the Istituto Superiore di Sanita' (Rome, Italy) to provide a means of identifying organic functional groups. The ISSFUNC rulebase is a functional groups profiler that implements a set of 204 organic functional groups recognised by the &lt;a href="http://merian.pch.univie.ac.at/%7Enhaider/cheminf/cmmm.html"&gt;&amp;quot;Checkmol&amp;quot; program&lt;/a&gt;, developed by Norbert Haider (University of Vienna, Austria). The jar file should be placed in the &amp;quot;Toxtree\ext\&amp;quot; directory of the Toxtree installation. &lt;/p&gt;  &lt;ul&gt;   &lt;blockquote&gt;     &lt;p align="justify"&gt;&lt;a href="http://ihcp.jrc.ec.europa.eu/our_labs/computational_toxicology/doc/issfunc.zip"&gt;Download the ISSFUNC functional groups profiler (zipped jar file)&lt;/a&gt;&lt;/p&gt;      &lt;p align="justify"&gt;&lt;a href="http://ihcp.jrc.ec.europa.eu/our_labs/computational_toxicology/doc/EUR_24871_EN.pdf"&gt;&lt;u&gt;Download report on ISSFUNC profiler&lt;/u&gt;&lt;/a&gt;&lt;/p&gt;   &lt;/blockquote&gt; &lt;/ul&gt;  &lt;h6 align="justify"&gt;Feedback&lt;/h6&gt;  &lt;p align="justify"&gt;   &lt;br /&gt;Please report any comments, enquiries or bug reports &lt;a href="http://sourceforge.net/tracker/?group_id=152702/"&gt;via the dedicated Sourceforge webpage.&lt;/a&gt;&lt;/p&gt;  &lt;h6 align="justify"&gt;Key features&lt;/h6&gt;  &lt;ul&gt;   &lt;ul&gt;     &lt;li&gt;       &lt;div align="justify"&gt;Easy to install. &lt;/div&gt;     &lt;/li&gt;      &lt;li&gt;       &lt;div align="justify"&gt;Easy to follow manual provided. &lt;/div&gt;     &lt;/li&gt;      &lt;li&gt;       &lt;div align="justify"&gt;End-user modifications of the tree possible (by adding new structural rules). &lt;/div&gt;     &lt;/li&gt;      &lt;li&gt;       &lt;div align="justify"&gt;Classification of chemical structures by an interactive 2D graphical editor. &lt;/div&gt;     &lt;/li&gt;      &lt;li&gt;       &lt;div align="justify"&gt;Batch mode classification possible; CSV, TXT or SDF file formats supported. &lt;/div&gt;     &lt;/li&gt;      &lt;li&gt;       &lt;div align="justify"&gt;Results (with classification path explained) viewable in a graphical user interface or saved (file formats supported: CSV, SDF or TXT). &lt;/div&gt;     &lt;/li&gt;      &lt;li&gt;       &lt;div align="justify"&gt;Implementation of Cramer decision tree approach to estimate toxic hazard. &lt;/div&gt;     &lt;/li&gt;      &lt;li&gt;       &lt;div align="justify"&gt;Implementation of Verhaar scheme for modes of toxic action. &lt;/div&gt;     &lt;/li&gt;      &lt;li&gt;       &lt;div align="justify"&gt;Implementation of BfR and SICRET rules to predict skin irritation and corrosion. &lt;/div&gt;     &lt;/li&gt;      &lt;li&gt;       &lt;div align="justify"&gt;Implementation of BfR rules to predict eye irritation and corrosion. &lt;/div&gt;     &lt;/li&gt;      &lt;li&gt;       &lt;div align="justify"&gt;Implementation of Benigni-Bossa rules to predict mutagenicity and carcinogenicity.&lt;/div&gt;     &lt;/li&gt;   &lt;/ul&gt; &lt;/ul&gt;  &lt;h6 align="justify"&gt;Copyright and Disclaimer Notice&lt;/h6&gt;  &lt;p align="justify"&gt;   &lt;br /&gt;Toxtree is open source software; you are authorised to redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 (June 1991) of the License, or any later version. For more details, see the GNU General Public License at &lt;a href="http://www.gnu.org/licenses/gpl.txt"&gt;http://www.gnu.org/licenses/gpl.txt&lt;/a&gt;.     &lt;br /&gt;We request that proper credit is given to the copyright and authorship for Toxtree. This includes adding the following copyright notice to the beginning of your source code files, and to any copyright notice that you may distribute with programs based on this work:&lt;/p&gt;  &lt;ul&gt;   &lt;p align="justify"&gt;&lt;em&gt;Developed by Dr Nina Jeliazkova (Ideaconsult Ltd; contact &lt;a href="mailto:nina@acad.bg"&gt;nina@acad.bg&lt;/a&gt;) on behalf of the Joint Research Centre (JRC). Copyright European Union (2005, 2007 &amp;amp; 2008).&lt;/em&gt;&lt;/p&gt; &lt;/ul&gt;  &lt;p align="justify"&gt;   &lt;br /&gt;The Toxtree software is made available by the JRC as a service to the worldwide scientific and regulatory communities. The JRC and European Communities provide no technical support, warranties or remedies for this software. It does not imply any endorsement or acceptance by the JRC or by the European Commission of the algorithms encoded in the software. The European Commission shall not be liable to the User or any third party for any direct or indirect, special, incidental, punitive, cover or consequential damages, arising out of the use of, or inability to use, Toxtree.&lt;/p&gt;  &lt;h6 align="justify"&gt;References&lt;/h6&gt;  &lt;ol&gt;   &lt;li&gt;     &lt;div align="justify"&gt;Benigni R, Bossa C, Jeliazkova N, Netzeva T &amp;amp; Worth A (2008). The Benigni / Bossa rulebase for mutagenicity and carcinogenicity - a module of Toxtree. European Commission report EUR 23241 EN. &lt;/div&gt;      &lt;blockquote&gt;       &lt;p align="justify"&gt;&lt;a href="http://ihcp.jrc.ec.europa.eu/our_labs/computational_toxicology/doc/EUR_23241_EN.pdf"&gt;Download paper&lt;/a&gt;&lt;/p&gt;     &lt;/blockquote&gt;   &lt;/li&gt;    &lt;li&gt;     &lt;div align="justify"&gt;Patlewicz G, Jeliazkova N, Safford RJ, Worth AP &amp;amp; Aleksiev B (2008). An evaluation of the implementation of the Cramer classification scheme in the Toxtree software. &lt;em&gt;SAR and QSAR in Environmental Research&lt;/em&gt; 19, 495-524 &lt;/div&gt;   &lt;/li&gt;    &lt;li&gt;     &lt;div align="justify"&gt;Cramer GM, Ford RA &amp;amp; Hall RL (1978) Estimation of Toxic Hazard - A Decision Tree Approach. &lt;em&gt;Food and Cosmetics Toxicology&lt;/em&gt; 16, 255-276. &lt;/div&gt;   &lt;/li&gt;    &lt;li&gt;     &lt;div align="justify"&gt;Gerner I, Liebsch M &amp;amp; Spielmann H (2005). Assessment of the eye irritating properties of chemicals by applying alternatives to the Draize rabbit eye test: the use of QSARs and in vitro tests for the classification of eye irritation. &lt;em&gt;ATLA&lt;/em&gt; 33, 215-237. &lt;/div&gt;   &lt;/li&gt;    &lt;li&gt;     &lt;div align="justify"&gt;Verhaar HJM, van Leeuwen CJ &amp;amp; Hermens JLM (1992). Classifying environmental pollutants. 1. Structure-activity relationships for prediction of aquatic toxicity. &lt;em&gt;Chemosphere&lt;/em&gt; 25, 471-491. &lt;/div&gt;   &lt;/li&gt;    &lt;li&gt;     &lt;div align="justify"&gt;Verhaar HJM, Mulder W &amp;amp; Hermens JLM (1995). QSARs for ecotoxicity. In: Overview of structure-activity relationships for environmental endpoints, Part 1: General outline and procedure. Hermens JLM (Ed), Report prepared within the framework of the project &amp;quot;QSAR for Prediction of Fate and Effects of Chemicals in the Environment&amp;quot;, an international project of the Environment; Technologies RTD Programme (DGXII/D-1) of the European Commission under contract number EV5V-CT92-0211. &lt;/div&gt;   &lt;/li&gt;    &lt;li&gt;     &lt;div align="justify"&gt;Verhaar HJM, Solbe J, Speksnijder J, van Leeuwen CJ &amp;amp; Hermens JLM (2000). Classifying environmental pollutants: Part 3. External validation of the classification system. &lt;em&gt;Chemosphere&lt;/em&gt; 40, 875-883. &lt;/div&gt;   &lt;/li&gt;    &lt;li&gt;     &lt;div align="justify"&gt;Walker JD, Gerner I, Hulzebos E &amp;amp; Schlegel K (2005). The Skin Irritation Corrosion Rules Estimation Tool (SICRET). &lt;em&gt;QSAR Comb. Sci.&lt;/em&gt; 24, 378-384.&lt;/div&gt;   &lt;/li&gt; &lt;/ol&gt;  &lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/4347611351610683777-4126551531297358425?l=scientist-at-work.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://scientist-at-work.blogspot.com/feeds/4126551531297358425/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://www.blogger.com/comment.g?blogID=4347611351610683777&amp;postID=4126551531297358425' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/4126551531297358425'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/4126551531297358425'/><link rel='alternate' type='text/html' href='http://scientist-at-work.blogspot.com/2011/10/toxtree-toxtree-is-flexible-and-user.html' title=''/><author><name>Astrologer</name><uri>http://www.blogger.com/profile/00339445991974149343</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-4347611351610683777.post-4511805867444878345</id><published>2011-10-12T22:52:00.001+05:30</published><updated>2011-10-12T22:52:23.123+05:30</updated><title type='text'></title><content type='html'>&lt;p&gt;SHOW: FREE SOFTWARE ONLY ALL SOFTWARE&lt;/p&gt;  &lt;p&gt;Physico-chemical properties&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;7.2 MELTING/FREEZING POINT&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;7.3 BOILING POINT&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;7.4 RELATIVE DENSITY&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;7.5 VAPOUR PRESSURE&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;7.6 SURFACE TENSION&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;7.7 WATER SOLUBILITY&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;7.8 PARTITION COEFFICIENT n-Octanol/Water&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;7.9 FLASH POINT&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;7.16 DISSOCIATION CONSTANT&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;7.17 VISCOSITY&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;Toxicological group&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;8.1 SKIN IRRITATION or SKIN CORROSION&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;8.2 EYE-IRRITATION&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;8.3 SKIN SENSITIZATION&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;8.4 MUTAGENICITY&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;8.4.1 IN-VITRO GENE MUTATION STUDY IN BACTERIA&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;8.4.2 IN-VITRO CITOGENICITY STUDY IN MAMMALIAN CELLS OR IN-VITRO MICRONUCLEUS STUDY&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;8.4.4 IN-VIVO MUTAGENICITY STUDY&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;8.5 ACUTE TOXICITY&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;8.5.1 ACUTE TOXICITY (by oral route)&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;8.5.2 ACUTE TOXICITY (by inhalation)&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;8.6 REPEATED DOSE TOXICITY&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;8.6.1 SHORT-TERM REPEATED DOSE TOXICITY (28 DAYS)&lt;/p&gt;  &lt;p&gt;8.6.2 SUB-CHRONIC TOXICITY STUDY (90 DAYS)&lt;/p&gt;  &lt;p&gt;8.6.3 LONG-TERM REPEATED DOSE TOXICITY STUDY (&amp;gt;12 MONTHS)&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;8.7 REPRODUCTIVE TOXICITY&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;8.7.1 SCREENING FOR REPRODUCTIVE/DEVELOPMENTAL TOXICITY (OECD 412 - 422)&lt;/p&gt;  &lt;p&gt;8.7.2 PRE-NATAL DEVELOPMENTAL TOXICITY STUDY (OECD 414)&lt;/p&gt;  &lt;p&gt;8.8 TOXICOKINETICS&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;8.8.1 ASSESSMENT OF TOXICOKINETIC BEHAVIOR OF THE SUBSTANCE&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;8.9 CARCINOGENICITY&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;Environmental Properties &amp;amp; Ecotoxicological Group&lt;/p&gt;  &lt;p&gt;9.1 AQUATIC TOXICITY&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;9.1.1 SHORT-TERM TOXICITY TESTING ON INVERTEBRATES (DAPHNIA)&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;9.1.2 GROWTH INHIBITION STUDY AQUATIC PLANT (ALGAE PREFERRED)&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;9.1.3 SHORT-TERM TOXICITY TESTING ON FISH&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;9.1.4 ACTIVATED SLUDGE RESPIRATION INHIBITION TESTING&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;9.1.5 LONG-TERM TOXICITY TESTING ON INVERTEBRATES (PREFERRED DAPHNIA)&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;9.1.6 LONG-TERM TOXICITY TESTING ON FISH&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;9.2 DEGRADATION [9.2.1 BIOTIC &amp;amp; 9.2.2 ABIOTIC]&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;9.2.1.1 READY BIODEGRADABILITY&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;9.2.1.3 SOIL SIMULATION TESTING&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;9.2.2 ABIOTIC DEGRADATION&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;9.2.2.1 HYDROLYSIS AS A FUNCTION OF pH&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;9.2.3 IDENTIFICATION OF DEGRADATION PRODUCTS&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;9.3 FATE AND BEHAVIOUR IN THE ENVIRONMENT&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;9.3.1 ABSORPTION / DESORPTION SCREENING&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;9.3.2 BIOACCUMULATION IN AQUATIC SPECIES, PREFERABLE FISH&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;9.3.4 FURTHER INFORMATION ON THE ENVIRONMENTAL FATE AND BEHAVIOUR OF THE SUBSTANCE&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;9.4 EFFECTS ON TERRESTRIAL ORGANISMS&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;9.4.1 SHORT-TERM TOXICITY TO INVERTEBRATES&lt;/a&gt;&lt;/p&gt;  &lt;p&gt;&lt;a href="http://www.antares-life.eu/"&gt;9.4.3 SHORT-TERM TOXICITY TO PLANTS&lt;/a&gt;&lt;/p&gt;  &lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/4347611351610683777-4511805867444878345?l=scientist-at-work.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://scientist-at-work.blogspot.com/feeds/4511805867444878345/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://www.blogger.com/comment.g?blogID=4347611351610683777&amp;postID=4511805867444878345' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/4511805867444878345'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/4511805867444878345'/><link rel='alternate' type='text/html' href='http://scientist-at-work.blogspot.com/2011/10/show-free-software-only-all-software.html' title=''/><author><name>Astrologer</name><uri>http://www.blogger.com/profile/00339445991974149343</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-4347611351610683777.post-2394513463854927105</id><published>2011-10-12T22:51:00.001+05:30</published><updated>2011-10-12T22:51:10.031+05:30</updated><title type='text'>Free Toxicity Prediction Software</title><content type='html'>&lt;h3&gt;Quantitative Structure Activity Relationship&lt;/h3&gt;  &lt;h6&gt;Introduction&lt;/h6&gt; Quantitative Structure Activity Relationships (QSARs) are mathematical models that are used to predict measures of toxicity from physical characteristics of the structure of chemicals (known as molecular descriptors). Acute toxicities (such as the concentration that causes half of a fish population to die) are one example of the toxicity measures that may be predicted from QSARs. Simple QSAR models calculate the toxicity of chemicals using a simple linear function of molecular descriptors:   &lt;p&gt;&lt;strong&gt;Toxicity = ax&lt;sub&gt;1&lt;/sub&gt;+bx&lt;sub&gt;2&lt;/sub&gt;+c&lt;/strong&gt;&lt;/p&gt;  &lt;p&gt;where &lt;em&gt;x&lt;sub&gt;1 &lt;/sub&gt;&lt;/em&gt;and &lt;em&gt;x&lt;sub&gt;2 &lt;/sub&gt;&lt;/em&gt;are the independent descriptor variables and &lt;em&gt;a, b,&lt;/em&gt; and &lt;em&gt;c&lt;/em&gt; are fitted parameters. Examples of molecular descriptors include the molecular weight and the octanol-water partition coefficient. Additional examples are provided in our &lt;a href="http://www.epa.gov/nrmrl/std/cppb/qsar/MolecularDescriptorsGuide.pdf"&gt;Molecular Descriptors Guide (PDF)&lt;/a&gt; (47 pp, 279 KB). &lt;/p&gt;  &lt;h6&gt;Uses of QSAR toxicity models&lt;/h6&gt;  &lt;ul&gt;   &lt;li&gt;QSAR toxicity predictions may be used to screen untested compounds in order to establish priorities for traditional bioassays, which are expensive and time-consuming. &lt;/li&gt;    &lt;li&gt;QSAR models are useful for estimating toxicities needed for green process design algorithms such as the &lt;a href="http://www.epa.gov/nrmrl/std/cppb/war/sim_war.htm"&gt;Waste Reduction Algorithm&lt;/a&gt;. &lt;/li&gt; &lt;/ul&gt;  &lt;h6&gt;Objectives&lt;/h6&gt;  &lt;ul&gt;   &lt;li&gt;Develop quantitative structure activity relationship (QSAR) methodologies to estimate toxicity from molecular structure &lt;/li&gt;    &lt;li&gt;Develop software, such as the &lt;a href="http://www.epa.gov/nrmrl/std/cppb/qsar/#TEST"&gt;Toxicity Estimation Software Tool (T.E.S.T.)&lt;/a&gt;, that will enable users to easily estimate toxicity from molecular structure &lt;/li&gt; &lt;/ul&gt;  &lt;h6&gt;QSAR Methodologies&lt;/h6&gt;  &lt;p&gt;Several QSAR methodologies have been developed:&lt;/p&gt;  &lt;ul&gt;   &lt;li&gt;&lt;strong&gt;Hierarchical method &lt;/strong&gt;- The toxicity for a given query compound is estimated using the weighted average of the predictions from several different models. The different models are obtained by using Ward’s method to divide the training set into a series of structurally similar clusters. A genetic algorithm-based technique is used to generate models for each cluster. The models are generated prior to runtime. &lt;/li&gt;    &lt;li&gt;&lt;strong&gt;FDA method &lt;/strong&gt;- The prediction for each test chemical is made using a new model that is fit to the chemicals that are most similar to the test compound. Each model is generated at runtime. &lt;/li&gt;    &lt;li&gt;&lt;strong&gt;Single-model method&lt;/strong&gt; - Predictions are made using a multilinear regression model that is fit to the training set (using molecular descriptors as independent variables) using a genetic algorithm-based approach. The regression model is generated prior to runtime. &lt;/li&gt;    &lt;li&gt;&lt;strong&gt;Group contribution method &lt;/strong&gt;- Predictions are made using a multilinear regression model that is fit to the training set (using molecular fragment counts as independent variables). The regression model is generated prior to runtime. &lt;/li&gt;    &lt;li&gt;&lt;strong&gt;Nearest neighbor method &lt;/strong&gt;- The predicted toxicity is estimated by taking an average of the three chemicals in the training set that are most similar to the test chemical. &lt;/li&gt;    &lt;li&gt;&lt;strong&gt;Consensus method &lt;/strong&gt;- The predicted toxicity is estimated by taking an average of the predicted toxicities from each of the above QSAR methodologies. &lt;/li&gt;    &lt;li&gt;&lt;strong&gt;&lt;a href="http://www.caesar-project.eu/index.php?page=results&amp;amp;section=endpoint&amp;amp;ne=5"&gt;&lt;img height="61" alt="CAESAR Project logo" src="http://www.epa.gov/nrmrl/std/cppb/images/caesar.gif" width="100" /&gt;&lt;/a&gt;Random forest method&lt;/strong&gt;- The predicted toxicity is estimated using a decision tree which bins a chemical into a certain toxicity score (i.e. positive or negative developmental toxicity) using a set of molecular descriptors as decision variables. The random forest method is currently only available for the developmental toxicity endpoint. The random forest model for the developmental toxicity endpoint was developed by researchers at Mario Negri Institute for Pharmacological Research as part of the&lt;strong&gt; &lt;/strong&gt;&lt;a href="http://www.caesar-project.eu/index.php?page=results&amp;amp;section=endpoint&amp;amp;ne=5"&gt;CAESAR project&lt;/a&gt;. &lt;a href="http://www.epa.gov/epahome/exitepa.htm"&gt;&lt;img height="13" alt="Exit EPA Disclaimer" src="http://www.epa.gov/epafiles/images/epafiles_misc_exitepadisc.gif" width="87" border="0" /&gt;&lt;/a&gt;&lt;/li&gt; &lt;/ul&gt;  &lt;p&gt;These methodologies are explained in detail in the &lt;a href="http://www.epa.gov/nrmrl/std/cppb/qsar/#pub"&gt;publications below&lt;/a&gt;.&lt;/p&gt;  &lt;h6&gt;&lt;a name="TEST"&gt;&lt;/a&gt;Toxicity Estimation Software Tool (T.E.S.T.)&lt;/h6&gt;  &lt;p&gt;T.E.S.T. will enable users to easily estimate acute toxicity using the above QSAR methodologies. The software is now available for download. The software is described in further detail in the &lt;a href="http://www.epa.gov/nrmrl/std/cppb/qsar/testuserguide.pdf"&gt;User's Guide (PDF)&lt;/a&gt; (66 pp, 540 KB).The software is based on the &lt;a href="http://sourceforge.net/projects/cdk"&gt;Chemistry Development Kit&lt;/a&gt; &lt;a href="http://www.epa.gov/epahome/exitepa.htm"&gt;&lt;img height="13" alt="exit EPA" src="http://www.epa.gov/epafiles/images/epafiles_misc_exitepadisc.gif" width="87" border="0" /&gt;&lt;/a&gt;, an open-source Java library for computational chemistry.&lt;/p&gt;  &lt;p&gt;The software includes models for the following endpoints:&lt;/p&gt;  &lt;ul&gt;   &lt;li&gt;96-hour fathead minnow 50% lethal concentration (&lt;a href="http://cfpub.epa.gov/ecotox/"&gt;LC&lt;sub&gt;50&lt;/sub&gt;&lt;/a&gt;) &lt;/li&gt;    &lt;li&gt;48-hour daphnia magna 50% lethal concentration (&lt;a href="http://cfpub.epa.gov/ecotox/"&gt;LC&lt;sub&gt;50&lt;/sub&gt;&lt;/a&gt;) &lt;/li&gt;    &lt;li&gt;&lt;em&gt;Tetrahymena pyriformis&lt;/em&gt; 50% growth inhibition concentration (&lt;a href="http://www.vet.utk.edu/TETRATOX/index.php"&gt;IGC&lt;sub&gt;50&lt;/sub&gt;&lt;/a&gt;) &lt;a href="http://www.epa.gov/epahome/exitepa.htm"&gt;&lt;img height="13" alt="Exit EPA Disclaimer" src="http://www.epa.gov/epafiles/images/epafiles_misc_exitepadisc.gif" width="87" border="0" /&gt;&lt;/a&gt;&lt;/li&gt;    &lt;li&gt;Oral rat 50% lethal dose (&lt;a href="http://chem.sis.nlm.nih.gov/chemidplus/"&gt;LD&lt;sub&gt;50&lt;/sub&gt;&lt;/a&gt;) &lt;a href="http://www.epa.gov/epahome/exitepa.htm"&gt;&lt;img height="13" alt="Exit EPA Disclaimer" src="http://www.epa.gov/epafiles/images/epafiles_misc_exitepadisc.gif" width="87" border="0" /&gt;&lt;/a&gt;&lt;/li&gt;    &lt;li&gt;Bioconcentration Factor (&lt;a href="http://www.caesar-project.eu/index.php?page=results&amp;amp;section=endpoint&amp;amp;ne=1"&gt;BCF&lt;/a&gt;). The bioconcentration factor data set was compiled by researchers at the &lt;a href="http://www.marionegri.it/mn/it/index.html"&gt;Mario Negri Isituto Di Ricerche Farmacologiche&lt;/a&gt;.&lt;a href="http://www.epa.gov/epahome/exitepa.htm"&gt;&lt;img height="13" alt="Exit EPA Disclaimer" src="http://www.epa.gov/epafiles/images/epafiles_misc_exitepadisc.gif" width="87" border="0" /&gt;&lt;/a&gt;&lt;/li&gt;    &lt;li&gt;Developmental Toxicity (&lt;a href="http://www.caesar-project.eu/index.php?page=results&amp;amp;section=endpoint&amp;amp;ne=5"&gt;DevTox&lt;/a&gt;). &lt;a href="http://www.epa.gov/epahome/exitepa.htm"&gt;&lt;img height="13" alt="Exit EPA Disclaimer" src="http://www.epa.gov/epafiles/images/epafiles_misc_exitepadisc.gif" width="87" border="0" /&gt;&lt;/a&gt;&lt;/li&gt;    &lt;li&gt;Ames mutagenicity (&lt;a href="http://doc.ml.tu-berlin.de/toxbenchmark/"&gt;Mutagenicity&lt;/a&gt;).&lt;a href="http://www.epa.gov/epahome/exitepa.htm"&gt;&lt;img height="13" alt="Exit EPA Disclaimer" src="http://www.epa.gov/epafiles/images/epafiles_misc_exitepadisc.gif" width="87" border="0" /&gt;&lt;/a&gt;&lt;/li&gt; &lt;/ul&gt;  &lt;p&gt;The software now contains models for the following physical properties:&lt;/p&gt;  &lt;ul&gt;   &lt;li&gt;&lt;a href="http://en.wikipedia.org/wiki/Normal_boiling_point"&gt;Normal boiling point&lt;/a&gt;&lt;/li&gt;    &lt;li&gt;&lt;a href="http://en.wikipedia.org/wiki/Flash_point"&gt;Flash point&lt;/a&gt;&lt;/li&gt;    &lt;li&gt;&lt;a href="http://en.wikipedia.org/wiki/Surface_tension"&gt;Surface tension&lt;/a&gt;&lt;/li&gt;    &lt;li&gt;&lt;a href="http://en.wikipedia.org/wiki/Viscosity"&gt;Viscosity&lt;/a&gt;&lt;/li&gt;    &lt;li&gt;&lt;a href="http://en.wikipedia.org/wiki/Density"&gt;Density&lt;/a&gt;&lt;/li&gt;    &lt;li&gt;&lt;a href="http://en.wikipedia.org/wiki/Solubility#Quantification_of_solubility"&gt;Water solubility&lt;/a&gt;&lt;/li&gt;    &lt;li&gt;&lt;a href="http://en.wikipedia.org/wiki/Thermal_conductivity"&gt;Thermal conductivity&lt;/a&gt;&lt;/li&gt; &lt;/ul&gt;  &lt;p&gt;Models for additional endpoints will be added as they are completed.&lt;/p&gt;  &lt;p&gt;&lt;img height="16" alt="envelope" src="http://www.epa.gov/ord/images/envelope.gif" width="30" border="0" /&gt; &lt;a href="http://www.epa.gov/nrmrl/std/cppb/qsar/test_register.html"&gt;Get email alerts when new versions of the T.E.S.T. software are posted&lt;/a&gt;.&lt;/p&gt;  &lt;h6&gt;Download T.E.S.T (&lt;b&gt;version 4.0&lt;/b&gt;):&lt;/h6&gt;  &lt;ul&gt;   &lt;li&gt;&lt;a href="http://www.epa.gov/nrmrl/std/cppb/qsar/install.exe"&gt;Windows EXE&lt;/a&gt; (1 file, 177 MB)&lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.epa.gov/nrmrl/std/cppb/qsar/install.zip"&gt;MacOSX ZIP&lt;/a&gt; (1 file, 176 MB)&lt;/li&gt;    &lt;li&gt;&lt;a href="http://www.epa.gov/nrmrl/std/cppb/qsar/install.bin"&gt;Linux BIN&lt;/a&gt; (1 file, 183 MB)&lt;/li&gt; &lt;/ul&gt;  &lt;p&gt;The training and prediction sets used in the software are available &lt;a href="http://www.epa.gov/nrmrl/std/cppb/qsar/DataSets.zip"&gt;here&lt;/a&gt;.&lt;/p&gt;  &lt;p&gt;Sample structure data files (such as a MDL SD file) are available &lt;a href="http://www.epa.gov/nrmrl/std/cppb/qsar/SampleFiles.zip"&gt;here&lt;/a&gt;.&lt;/p&gt;  &lt;h6&gt;What's new in Version 4.0?&lt;/h6&gt;  &lt;ul&gt;   &lt;li&gt;Physical properties are now estimated &lt;/li&gt;    &lt;li&gt;Batch mode is improved:      &lt;ul&gt;       &lt;li&gt;Loading can now be interrupted &lt;/li&gt;        &lt;li&gt;Chemicals with loading errors are displayed at the top of the batch table &lt;/li&gt;        &lt;li&gt;Can now load SMILES files with no identifier field (chemicals are assigned arbitrary IDs) &lt;/li&gt;     &lt;/ul&gt;   &lt;/li&gt;    &lt;li&gt;Aromaticity detection is improved:      &lt;ul&gt;       &lt;li&gt;Can handle aromatic bond orders (bond order = 4) in mol or sd files &lt;/li&gt;        &lt;li&gt;The SMILES parser has been improved to better handle complicated aromatic ring systems &lt;/li&gt;     &lt;/ul&gt;   &lt;/li&gt;    &lt;li&gt;Added Options screen:      &lt;ul&gt;       &lt;li&gt;Added ability to change the output directory after it has been set &lt;/li&gt;        &lt;li&gt;The program now remembers the previously selected output folder &lt;/li&gt;        &lt;li&gt;The &amp;quot;Relax fragment constraint&amp;quot; checkbox was moved to Options screen &lt;/li&gt;     &lt;/ul&gt;   &lt;/li&gt; &lt;/ul&gt;  &lt;h6&gt;Prior Version History&lt;/h6&gt;  &lt;ul&gt;   &lt;li&gt;3.3 (7/8/10)      &lt;ul&gt;       &lt;li&gt;Daphnia magna LC50 endpoint was added &lt;/li&gt;        &lt;li&gt;AMES Mutagenicity endpoint was added &lt;/li&gt;        &lt;li&gt;The following changes were made for binary endpoints such as developmental toxicity and AMES mutagenicity:          &lt;ul&gt;           &lt;li&gt;QSAR models now have stricter statistical standards (leave one out concordance = 0.8, sensitivity = 0.5, and specificity = 0.5) &lt;/li&gt;            &lt;li&gt;Model statistics such as concordance, sensitivity, and specificity are now displayed in the results web pages &lt;/li&gt;         &lt;/ul&gt;       &lt;/li&gt;     &lt;/ul&gt;   &lt;/li&gt;    &lt;li&gt;3.2 (12/18/09)      &lt;ul&gt;       &lt;li&gt;Reproductive toxicity endpoint was added &lt;/li&gt;        &lt;li&gt;Random forest QSAR method was added (for reproductive toxicity endpoint only) &lt;/li&gt;     &lt;/ul&gt;   &lt;/li&gt;    &lt;li&gt;3.1 (6/23/09)      &lt;ul&gt;       &lt;li&gt;Fixed issue with running TEST in non-english speaking countries &lt;/li&gt;     &lt;/ul&gt;   &lt;/li&gt;    &lt;li&gt;3.0 (4/14/09)      &lt;ul&gt;       &lt;li&gt;Random selection is used to divide the data sets into training and test sets &lt;/li&gt;        &lt;li&gt;Added BCF endpoint &lt;/li&gt;        &lt;li&gt;Added consensus prediction method &lt;/li&gt;     &lt;/ul&gt;   &lt;/li&gt;    &lt;li&gt;2.0 (2/24/09)      &lt;ul&gt;       &lt;li&gt;Each toxicity data set is now split into a training and test set. &lt;/li&gt;        &lt;li&gt;The toxicity models included in the software are now fit to the training sets (previously they were fit to the overall sets) &lt;/li&gt;        &lt;li&gt;The batch mode was improved (chemicals can be added and the list can now be saved as an SDF) &lt;/li&gt;     &lt;/ul&gt;   &lt;/li&gt;    &lt;li&gt;1.0.3 (10/24/08)      &lt;ul&gt;       &lt;li&gt;Fixed calculation of &amp;quot;ieadje&amp;quot; molecular descriptor &lt;/li&gt;        &lt;li&gt;Fixed definitions of chi descriptors in numbered list in molecular descriptors guide &lt;/li&gt;     &lt;/ul&gt;   &lt;/li&gt; &lt;/ul&gt;  &lt;h6&gt;System requirements&lt;/h6&gt;  &lt;ul&gt;   &lt;li&gt;&lt;a href="http://java.com/en/download/index.jsp"&gt;Java version 1.6 or higher&lt;/a&gt; &lt;a href="http://www.epa.gov/epahome/exitepa.htm"&gt;&lt;img height="13" alt="exit EPA" src="http://www.epa.gov/epafiles/images/epafiles_misc_exitepadisc.gif" width="87" border="0" /&gt;&lt;/a&gt;&lt;/li&gt;    &lt;li&gt;Memory:      &lt;ul&gt;       &lt;li&gt;For Windows XP®, 1 GB of RAM is recommended. &lt;/li&gt;        &lt;li&gt;For Windows Vista®, 2 GB of RAM is recommended. &lt;/li&gt;     &lt;/ul&gt;   &lt;/li&gt; &lt;/ul&gt;  &lt;h6&gt;Installation Instructions&lt;/h6&gt;  &lt;ol&gt;   &lt;li&gt;Save the appropriate installation file to your hard drive. Due to the large size of the file, the download may take 15 minutes or longer depending on the speed of the connection. &lt;/li&gt;    &lt;li&gt;Double-click the installation file (for Linux users: open a shell, cd to the directory where you downloaded the installer and at the prompt type: sh ./install.bin). &lt;/li&gt; &lt;/ol&gt;  &lt;h6&gt;Silent Installation Instructions for Network Administrators (for Windows users)&lt;/h6&gt;  &lt;ol&gt;   &lt;li&gt;The software can be installed silently by issuing the following command at the command prompt:     &lt;br /&gt;install -i silent &lt;/li&gt; &lt;/ol&gt;  &lt;h6&gt;Publications&lt;/h6&gt;  &lt;p&gt;&lt;a name="pub"&gt;&lt;/a&gt;Sushko, I.; Novotarskyi1, S.; Körner, R.; Pandey, A. K.; Cherkasov, A.; Li, J.; Gramatica, P.; Hansen, K.; Schroeter, T.; Müller, K.-R.; Xi, L.; Liu, H; Yao, X.; Öberg, T.; Hormozdiari, F.; Dao, F.; Sahinalp, C.; Todeschini, R.; Polishchuk, P.; Artemenko, A.; Kuz’min, V.; Martin, T.M.; Young, D. M.; Fourches, D.; Muratov, E.; Tropsha, A.; Baskin, I.; Horvath, D.; Marcou, G.; Varnek, A; Prokopenko, V. V.; Tetko, I.V. (2010). “Applicability domains for classification problems: benchmarking of distance to models for AMES mutagenicity set.” &lt;em&gt;J. Chem. Inf. Model&lt;/em&gt;, 50, 2094-2111. &lt;/p&gt;  &lt;p&gt;&lt;a name="pub"&gt;&lt;/a&gt;Cassano, A.; Manganaro, A; Martin, T.; Young, D.; Piclin, N.; Pintore, M.; Bigoni, D.; Benfenati, E. (2010). “The CAESAR models for developmental toxicity.” &lt;em&gt;Chemistry Central Journal&lt;/em&gt;, 4(Suppl 1):S4. &lt;/p&gt;  &lt;p&gt;&lt;a name="pub"&gt;&lt;/a&gt;Zhu, H.; Martin, T.M.; Young, D. M.; Tropsha, A. (2009). “Combinatorial QSAR Modeling of Rat Acute Toxicity by Oral Exposure.“ &lt;em&gt;Chemical Research in Toxicology&lt;/em&gt;, 22 (12), pp 1913-1921. &lt;/p&gt;  &lt;p&gt;&lt;a name="pub"&gt;&lt;/a&gt;Benfenati, E., Benigni, R., Demarini, D.M., Helma, C., Kirkland, D., Martin, T.M., Mazzatorta, G., Ouedraogo-Arras, G., Richard, A.M., Schilter, B., Schoonen, W.G.E.J., Snyder, R.D., and C. Yang. (2009). “Predictive Models for Carcinogenicity and Mutagenicity: Frameworks, State-of-the-Art, and Perspectives.” &lt;em&gt;Journal of Environmental Science and Health Part C&lt;/em&gt;, 27, 2: 57-90. &lt;/p&gt;  &lt;p&gt;&lt;a name="pub"&gt;&lt;/a&gt;Young, D.M.; Martin, T.M.; Venkatapathy, R.; Harten, P. (2008) “Are the Chemical Structures in your QSAR Correct?” &lt;em&gt;QSAR &amp;amp; Combinatorial Science&lt;/em&gt;, 27 (11-12), 1337-1345. &lt;/p&gt;  &lt;p&gt;&lt;a name="pub"&gt;&lt;/a&gt;Martin,T.M., P. Harten, R. Venkatapathy, S. Das and D.M. Young. (2008). “A Hierarchical Clustering Methodology for the Estimation of Toxicity.” &lt;em&gt;Toxicology Mechanisms and Methods&lt;/em&gt;, 18, 2: 251–266.&lt;/p&gt;  &lt;p&gt;Martin, T.M., and D.M. Young. (2001). “Prediction of the Acute Toxicity (96-h LC&lt;sub&gt;50&lt;/sub&gt;) of Organic Compounds in the Fathead Minnow (Pimephales Promelas) Using a Group Contribution Method.” &lt;em&gt;Chemical Research in Toxicology&lt;/em&gt;, 14, 10: 1378–1385.&lt;/p&gt;  &lt;h6&gt;Contact&lt;/h6&gt;  &lt;p&gt;&lt;a href="mailto:martin.todd@epa.gov"&gt;Todd Martin, PhD.&lt;/a&gt;    &lt;br /&gt;Research Chemical Engineer&lt;/p&gt;  &lt;div class="blogger-post-footer"&gt;&lt;img width='1' height='1' src='https://blogger.googleusercontent.com/tracker/4347611351610683777-2394513463854927105?l=scientist-at-work.blogspot.com' alt='' /&gt;&lt;/div&gt;</content><link rel='replies' type='application/atom+xml' href='http://scientist-at-work.blogspot.com/feeds/2394513463854927105/comments/default' title='Post Comments'/><link rel='replies' type='text/html' href='http://www.blogger.com/comment.g?blogID=4347611351610683777&amp;postID=2394513463854927105' title='0 Comments'/><link rel='edit' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/2394513463854927105'/><link rel='self' type='application/atom+xml' href='http://www.blogger.com/feeds/4347611351610683777/posts/default/2394513463854927105'/><link rel='alternate' type='text/html' href='http://scientist-at-work.blogspot.com/2011/10/free-toxicity-prediction-software.html' title='Free Toxicity Prediction Software'/><author><name>Astrologer</name><uri>http://www.blogger.com/profile/00339445991974149343</uri><email>noreply@blogger.com</email><gd:image rel='http://schemas.google.com/g/2005#thumbnail' width='16' height='16' src='http://img2.blogblog.com/img/b16-rounded.gif'/></author><thr:total>0</thr:total></entry><entry><id>tag:blogger.com,1999:blog-4347611351610683777.post-6155165377076997407</id><published>2011-10-07T20:32:00.007+05:30</published><updated>2011-10-07T23:11:31.471+05:30</updated><title type='text'>Death is very likely the single best invention of Life-Steve Jobs</title><content type='html'>&lt;p  style=" font-weight: bold; color: rgb(0, 0, 0); text-align: justify;font-family:lucida grande;"&gt;&lt;span style="font-size:130%;"&gt;We Miss You"GENIUS OF THE CENTURY&amp;amp;A DESIGNER AT HEART"&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p  style=" font-weight: bold; color: rgb(0, 0, 0); text-align: justify;font-family:lucida grande;"&gt;&lt;span style="font-size:130%;"&gt;“No one wants to die. Even people who want to go to heaven don’t want  to die to get there. And yet death is the destination we all share. No  one has ever escaped it. And that is as it should be, because Death is  very likely the single best invention of Life. It is Life’s change  agent. It clears out the old to make way for the new. Right now the new  is you, but someday not too long from now, you will gradually become the  old and be cleared away. Sorry to be so dramatic, but it is quite true.&lt;/span&gt;&lt;/p&gt;&lt;div  style=" font-weight: bold; color: rgb(0, 0, 0); text-align: justify;font-family:lucida grande;"&gt;&lt;span style="font-size:130%;"&gt; “Your time is limited, so don’t waste it living someone else’s life.  Don’t be trapped by dogma — which is living with the results of other  people’s thinking. Don’t let the noise of others’ opinions drown out  your own inner voice. And most important, have the courage to follow  your heart and intuition. They somehow already know what you truly want  to become. Everything else is secondary.&lt;/span&gt;&lt;/div&gt;&lt;div face="lucida grande" style="text-align: justify;  color: rgb(0, 0, 153);"&gt;&lt;img style="width: 346px; height: 467px;" src="data:image/png;base64,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" alt="" /&gt;&lt;br /&gt;&lt;p style="text-align: left;"&gt;&lt;span style="color:#ffff00;"&gt;&lt;strong&gt;&lt;em&gt;&lt;span style="color:#ff9900;"&gt;Here is the full text of the above speech from Stanford website: &lt;a href="http://news.stanford.edu/news/2005/june15/jobs-061505.html"&gt;http://news.stanford.edu/news/2005/june15/jobs-061505.html&lt;/a&gt;&lt;/span&gt;&lt;/em&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;&lt;div style="text-align: left;"&gt; &lt;/div&gt;&lt;p style="text-align: left;"&gt;&lt;span style="color:#ffff00;"&gt;&lt;strong&gt;&lt;em&gt;&lt;span style="color:#ff9900;"&gt;Here is A Photo Biography Of The Great Steve Jobs:&lt;a href="http://www.businessinsider.com/a-photo-biography-of-the-great-steve-jobs-2011-10#steves-childhood-home-1"&gt;http://www.businessinsider.com/a-photo-biography-of-the-great-steve-jobs-2011-10#steves-childhood-home-1&lt;/a&gt;&lt;/span&gt;&lt;/em&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;&lt;div style="text-align: left;"&gt; &lt;/div&gt;&lt;p style="text-align: left;"&gt;&lt;span style="color:#ffff00;"&gt;&lt;strong&gt;&lt;em&gt;&lt;span style="color:#ff9900;"&gt;Here are Steve Jobs: Top 10 Innovations, From the Apple II to the iPod to iPad : &lt;a href="http://abcnews.go.com/Technology/steve-jobs-death-top-10-products-including-apple/story?id=14680924"&gt;http://abcnews.go.com/Technology/steve-jobs-death-top-10-products-including-apple/story?id=14680924&lt;/a&gt;#&lt;/span&gt;&lt;/em&gt;&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;&lt;br /&gt;&lt;a href="http://en.wikipedia.org/wiki/File:Firma_de_Steve_Jobs.svg" class="image"&gt;&lt;img alt="" src="http://upload.wikimedia.org/wikipedia/commons/thumb/2/2a/Firma_de_Steve_Jobs.svg/100px-Firma_de_Steve_Jobs.svg.png" height="90" width="100" /&gt;&lt;/a&gt;&lt;br /&gt;&lt;img 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ZN10zzkqH4wzVcvO9wkN8GsINaoxF/joofi7XCDvmLvj80pc89KwYda8KJy7kHJbFP+zM2sifq0sca0iebs6Tv5M3dLpu+XTXdenn5aPfWyZuJ1/dir+pnBu1MDd0ff3B152/rxXfvY8KPJyacz02/AzASYBWAWzE2CB+1da9Zs4aLQSBTmP5GE/dZp7r8k/etX9rNN2V9uZiVTcSpKx3AGjBAIgi1evGTLxjUSx7YriG5TkdimL7/fw/h0irdOpr9OfrCen5GIu/bBKFuZ85FmWUEGCZ6aGYFGSX66CYFacR4Kl4J1mqJNWqOM3pT4gAc5oDsfPLkw1VEw0ZQzeTNzujZjqi5jrCF9ojF7prFo6nbxZEvp5MPLU09vzLy5Nfv+7szQPTDWMT3cPjbQOvS2ZXjg/tjwo5nxp7NTb8DMRwCmx8dGAABgDiQkpi3ghFm8Ql8OaSFkfj/Mp33Df0n6r0oiI3QShMEIQaMxMAxDYURg2ZKDuzadObZBWWLTObF1ejLbfCzOeBuLJXmopvtqhFlJxrsq+puectY+Eu6gGOWqFmynlOCrmxdjURCun+eueMlNoSPevP+853BV8PTd5Jl7WWO3U0ZrkiduJE/fSJ+pyZiqS5uozwCN52caL0zeKZ18cGX6SQ14exsM3wOjD8FY5+xIx8T7e6P9baP9beMfHsyM9MyNPwez7ycnBwGYmJkdB2B2amZa/MxZLir28zJhQAgN/i++0v8NSZ9nJolvR9KPXYd5SWSYSUboVJQJITQMp2EYxmTQcIS8ecNK+dNHxPYJKIuuUhFbrS6+2ttU1M9CPMLhbIyLvK+xaJqfVlWWR4itTIiDQnaERYyntqfZaX9rqURXxQveGte8VZsCtV5k2n287Pe+3GfkevjUzfjZuuS5mhRQmzF3PXXyevJsbeZsTd5sXeFUQ9FkS+n0o8q5FzfB+xYwdA+MdMy9vz/55u74q+apt63gQwcY6QITvWDq+fTsq4nJV9Nz72bB8Mexd/faWygITDDZVJQOIQyMxsNJxshUGkqwYYz1X5b0D3PT/1ckUX4miU6mIDiOEzi8c9tGSbHDMpJHZCX2aJ7dpnhCwNdSIsJFIdReKshGMitE193weKz7OTd9kVA72URfHV+rswEOCqVpHnmx9pkhpnmBhvku5y67nWvy1+zPdhgucR8r95msCJ69EQ1uJIDqBHA9BVxLnq5ImK1OAzW5oK4A3CqavVs203EFPKkBr26B/mbw9s7Mq6aJZw3jfTcnn92efX0HDNwDg+3TYw8nJzqnph5PTfVNz76emR38OPpWTUP57z98T8VonGQEJdgUmElFuako9xdF/X9R0td9D/2YdTQv6cfuBYIzWdw8DDrBy007uGuDtNh+DYUTCuLbdOW2655da6a8zUZzj4+FeLK/VmWOe+35gIwQQ22pTTaahyPd1CI81O10T8b5GgY5qmaFWhSEmue5qlZ4abQE6z5PsniTaj5Z4j5Z5g0qQucqo+YqYsC1+NmrcdOXY0BFErieBWpywc38uabiubZLs53X5npvzPbVzTytnX5SN9VbO9FzY7yndupJ3czzxpk3tyc+NI18uD071TE+0j420jU9+RyAoYqKkoWL/o7iGAVCEYRJRbkRjI8LYlIQ9l+SvrokCKFBPy7yo8wfFpBoNBoKkfbv3mSkJad89oi5jpSC2EYzld1+1uKG8huN5Lf4WIjHeKl5WUjkx1iXpbokBOhX5PuFu6vlRNv62siHuGpkRdv52SqH256Lt5a54HauO9HqWaL5s1iD9+kWYwXOM2U+M5cCZ8rDwNXoucvRs+UxoCIBXEsD1RkzNdmT9TkTtwsn28qmOq7OdlVNPayc7Lw21Xl98lH1+KOqsa7qicc1489rP766/u7FtdnR1pH3TSODbaNDD8HMmw/vn27ZsoZCIdEZLAqEQQiLivFyUhgQyvOXpK91559W2T5Lmm8FYIxFo3OvWC68fdMaxbMnjDSlxA+vVZbcpiyxwVhph6PeQX/bM1Ee5+J9NRMD9QMc5CM8NUJcVdIjLC9l+0T76NaWRV4rCg5xVXMzP+tiJmujIeKkvD9c58ijVJsXqVavE42eR2sNpVuOFTiPFXuNlQVMXwmfvhw5Wx4FriWB6vS56+mTN9JHb2QM12UPNRaMtpRN3L8y1nZlvL1isuPaeMe10Y7K4YeVI93VH59UDz2tetNzaXKg8ePrxon398YHH04PPwXgo5W53nccHDw8PFwkKoQwIJSbE2ZR8L/qpK9z5zBCQz8lHtFgmAHDLCrKDWNsDOPGMcbqVSvkpEUVzhyVF991+uhqPYXdoa7KdjoHLdX3JAdqR3ioBDsredvIhLmrhXtpOZudTgwxCfXQiPLVDXPXyIyyjvTSdjGT9nVUdzaWdtY65nFuZ4W3ckuwel+s7rMIjf4kww/Z1h8KnIdKvMYvhUxejpi9HAmqkkBtxlxd1nR91lhd1ofarMGGvOE7F8ZaL022V049uDb9qHqq8/p49/WxxzdG+2pHntVNvqwf7q0af9kw8rxxqv/+1LvO0TePwMzg+ZyUv3Nw0Ol0MoUKYXQKzuJEmSSc+9fyKv+S9B+VRKXSYZiFINwYxo0TrDVr1h07tF9FTlxXRdxcW1xHfo+t7jEvC4kAu7OB9jLZkaZJQQYJAXpJwUZJwSYXMrxz450y4xxig0zOZ3ilRVrmJznFBxi6mp91d1AL8dALd1IONxdLNxOp8ZTtDFV9GqH2MlZ7IN10INf2XaHrxzL/0UvBk5fC567FgbqMuVs5s035k00Fo02Fo83F84xAV91cV91sT/3ck4bZZ40zr5om396ZfHsHDNwFb+6Ct20zr1vAu0dgsHf0VefM8OvH7c2C/DwQhYSgOITRyDidEyPIBOu3HjLx7Uratmk9mcSJowQCEyjCnE8+pPxsTPFvpYr+1iv7hSQmhjNxgi4sLCQpKXL00GZddTFzPbHTR5YFOssHOyskBOhFeKiHuqokBRk6G59KCjbytVNIDrUozQlICLcqyvCNC7EM8dbzdVJzs1YI9zUy15cN9DSJ8tTP8NNNtpFsijK4H67ZHqTUF63zNtnkXab1+zzH4QteI2W+Y2UBUxVRU7Wp07ey51oKQVvxzL0LM+3lsw8rQdd10FMDempnHtdPP22YedU00393auDuVH8zGGgFHx6CoU4w1ANGX4DJgbnhl2B0YHZkUPTYIa4Ff6fRcCqMklGUBGMQ7av3Fv57knZs3gBxcRIIilBRFKHPp9ZDMHt+dv+n/NH/yhEt85IoZARF6FSYgCAahNDIMEJjYEsFuTdvExAV3aijeVRf84COyo6YYB1DlT3RPvppodbxfkZx3rpe5mcS/fR8beTdLWUTQqziwm0jQ+wiQ+w0VU6oKh51slGxt1C1NdY011WO8rKOcTdK89BpznZ/mOXUGW/WGabzPEqvP9H0XZrlUK7jSLH7SJnPh0v+H6tiR2qTQVsheHAB3CsBneWg+yrorZrtrpzurhrrujb+5Pr068axFzeHntWPvWqcftsChjtnBx6CkWdg6j2YHgZzY9Mj7+fGPgZ7eyzg4GARCAPHyCROBo1OgWDK5+NvfoyvXchfI36UtPCzJNoXkngoCJuEsn+O6avnQqAYHUaI+WQxGGPhDG4EQwkGsnotv4qaqKLCnuNHlupq7E2LNUuLMvG0ORvgqlmaHehkIh3iqpYYYJQaapIZYRXhpZsSZR8f7hAWaBsb4epqp2OoJWVromypq+BpZ+FoZhTmYZ8Y4JDqb3GnMORhnu/9eKvOCMMXUcb9sUbv4k0GUi2G85yGSz2GygMm65LH6tLHGjJHGjJm7haCrqvgUfn4/dLZx1UzvdfHeqpGn1yfenVr/GXjxKvbc4NtM/2tYLhrcuDR7MgLMDk4MzkMwNTE+DAAU4111wX5eTCIhFEhHCUoZISK0Sgo7U8iafuvSkJYFIT9a5Jov3Vm8rdeE4TR57+SIIKK0gkaC0EQFgsVF9trYazgZq/sZHk2zFO9JN2lOMUpMcQkLMj0TnORp5t6sL9ObopzcqRZUaprQapnxfno8xkhkX42yWFu6aGefta63qYanqY6Qc4Ovk52CYFe5xODC8Kdm/NDnhSHdSU7PgjW7ws3fBtt/C7O7H2K1XCey2iZz9jVsOHKuJnbeaClZLalGHRcBt1Vc11Vk53XpntqpntvjvfUjvbUjPfdHHtaP953c/ZNC3j/AAx2Tbzrmhl5NT0+MD4+OAcmZ8HUHJiemZs2MNInwwgJxiGC5zsSjnAv48IYf2hD/yCJE0NQGEbRT4tB87uL5iX9soH7ipJI811RlE5CGVxUggITEBXDUHjdSgFDbblgb7PUSMfEYIuMcOuscMu2yuTCJNfAAKPyq/EhwSaebqoJURZZiQ45ic7Xy+KqShMrSxJDPSzSwjyLkyKyQ72inCziPRw8rcwDnZ2yY0IvZcRcivepT/V9cTH6WbbnXR+t3hC9gVjzjyk2Y9ku0yU+c1dD5qpjxqoT527nTzfmjzcWTDQVj94pne6oAn23J7tqprtvjnfVjHfVgKe35p7Uz/Rcn3tSD960zb5qm3hxf3Kge3ywb3To5dTUBwAmhoYH5sD0pYpyBi/vDxC2AGP/DeX7AePlwlh/Gkmb/pmkzxXSzzJHf5p3/ld3c/82SSQaaxHGJOHcFJw1v5GNzaCfOrbPTFc+0scyNcw+J8qpOME9J8yuOjesNNU3KdoxL9MnJtQiwF0jNsjoQqZnUbr3xfywpCjX0rxYT0eTuBCPzJjgwuSoKE/7eD83PwfbMA/3woTIvGjfy/G+16JdnpWEP0l3bfPXfRKq/z7ecjTNYSrXA5QFgmtRoCYB1KWAW9nT9Zng3kXQWT3denm6/drUg+qxe5Xj9699vHvpY3PpzP0roL0ctF0A90tBZ+Vk+9XxjuqxrvrhJ03DL9rG3/eA6X4wNzg5+W5opP+EhCgHF5nCvYzCt5ID4ub67Utv32B8kkTmImEIDlNxBKVDyCcr/8Dos6TfuGfyN2IioYwFGPN7hL4IY1JwNkbjplCoi7kZchIixurSvnbahYledRfi4ryMiuO9MgLtc6Pdi5J9yvPDc+JccuNdMiJtipLd6i4l5Kf4BftY5aZHujiY+HjYervYRIf4BHnYh3g5ZsdGZceEFyWEJXhal0W6Vkc7tSU53w0zeRxt/jrWfDDB6mOK3XiW62yJH7gSDiojQVUMqE2aq0kB90pB8/nh2nzw4Npce9VcexVor5xoujBSlzPdkDPXkDlXmwTqkkFDxkRNytStnOFbOUPN50ceVYz01s4OtIHJvumPjwEYjI0N/u6H7xchNC764oU4z2+dT/o2gwMAsHXzll+R9MvjpD7VvYwfG75/LX6zpO8R+gKMeyHCWgjRCBo3QkUZGHxk9yZ1GZGEYIfrJQlX88KttSWqi+KKkwNjfayyo9zKs0MK492vZAdfSPUuS/Nrry8uSA3287CKjw10c7OxsTU1NzN0srcK9HEL9HLKTYgqSYnJCvcMt9Up8DO9neR6I8DgdoD26zT7d6m2H1Jsh1JtRrOcJws9p4t9p0p8J0t9R4o9n6RYt0SanLeTL3XTeHExvr8y48ON3IlbRVO12WPXEqYro2evBM9e9AWXfEGp93Sx+2x54HCZz4fLwRO3kkZvp020F033XJ59Xgdmnj25V71p5RIqiYuLRKXA9P9x3P6HiHlJ20gkCorQqDBO/RVJ/zAF8NUlceIsCmsJF8ZewIXR6GwCoyFkzjVCPKeObM2M88pL8inLCclN9K67kpkR6x3sZlpTmlJbmnA5J7imOOZmWcLtq+ltdSUp0V625tqebrZeni52tpYONpbWZsbRwYEhnq6+9mZpIW6xbibB5kppjmoPsr0qvVTuRxr0Z9oPZtp9zLQdyXKYyHOZLPQcK3AfynV+nW7Vk2BU66GQayziJrbGV3bnBQ+9VHOFy35mTbEunWkevWkuL1Pt3iRbvE0w+pCoP5tmMt7Ypl8AACAASURBVJWsP5Nj9T7VuD/LcuyK9+Bl36HrYaCrGDyrBB/vg+lnQQ5GO9csF+Llo/20LvTHl7Rt6y4SFxWBCRgh5jM3yAidjDH/yTGJX10SF8aC6ItJKHsRmYBhBoPG5GXRBfgZm9fylxbEluRHFueFVVxMLDsfGx3mlJkSUFOZ0XKrqL4i5XJBWN2lhLwkr7Ro9wh/BxtT7SBf9+ToSH01dWdzSxdTiwTfQD8ryyh3y0Qfc3ddiRgr+bYsj5ZEmxrfcw+i9F6lmY8WOIzk279NNnmXZjle6PYhy7E7Qq85ULXURjRCfrP1IT7NrcyLvkZe546cXoHLr+e2PLbe+vAKtxMros6uz9fYectJ/J6zWI+DyGS02ni81mCs+tsEnWcJus/SzNpi9dqSzCuDdWoTHPP9LbICHL3M9EV37960cg2O0lGMQYEwCoTBGANCaPNbQ393HP9i/JRbsm3rLi4SdX4nKBWlkxGC6/eTREEZCygEBeeFcb755TaYikMUEo5wGRsoxUa519XkV1xJ8XTX8/MxDg22aawrar9d8rqzKjnY0tHwTIC9qo2OuL+DblyQi72pjputRXJklI2BUZirt4WqpoehuYeBTqCVhovWST990dIA/aYk6+4sh3fn3V5kmvUl6X3ItRoptHuXZf4i0fhxlN4dT4VyixOp2vuC5Dc5iq7S3M7S3LNMaceS48sJ1f1rTq1iii0nTvAuPMO/QEVwgf0umt8Rdrr08hbzgyPhKiOxmoPxuk3Op66aH0lV3xwis9p8L91Hfrun4n5rqf1+RmoO2moWGpqbV6yhkGAEpSMonQJhFJj41CzAf5gzTL7IUtq2m4sEz9exnyShBBmn/5O5sq/b46agNCrOomJsMpVBgugwzEAxBpvNXrlKUFbuZFFh7I0buWkp3m6umikJrhdLojrulLxpvTTZee1KnFOWt36Wj5G5zD7V45t9LLWiPB1dLYwCXV015eS8bezVTp9RF5fQO3PSx0DKSWl3it3Zu2n2rYlmj9MtRy+59yXrj1xwGMizeJ5m8CRRtyNCo95N+qLJ0Wzdg1mWUpEGpxxl9xiIbDIS3yW3d83JTctl928W3SB0QIAuKsyUWsWQEiRrrke1V5P8RJbdcTz9McV0Mt/5ZYJpjvY+H9HluhuoZ5Z8p7mVaXJ0jfyWpaqHttuoKOpIyyifltu0ejNpERVF6BjOpMIEBcIQ9FMm1i9bum95puAnSZ8aaex/lPQbMf32gQmZis8vFcMYG8bYZDIOIwQfP6+svPiN60U3qnPSkz3C/I0DvXQz4p3edVaAnuvgzvnphrzJhtzxW0U9F2KDdM8Gm6l5G6s76Kq5Wxhryki5WZha62oZyJ+1OCfppX0yxkys1FulK8tpoNhjsNgVVPqA634DeWajF50/XnR6nGxQ63m2zFKkxOR4vqlogPJBncMrT61lGIjt2C9A3yvEvZWfJoAsEoIWLqf87YggU3I1t/Qq2rl1NPvjqzIMTnbFmr5ItR67GPzuQmC2iaTudm71LWyTo2sNDq1T2C4ouUFI/7SYr6WVmZbe5jVbDu47ziDYKEKHERqC0qkwASM/ZYf+wSRt3rZ3EQn9lD39L0r6mnPcFASHEYIC0+f3k5AgOowxlixbmpwSc/lS9t2GsvOZAaGu2okBRqVJrnNdle8LQ287q920P1dpKdMabA46K19eTCpwN9Y8stVcQdxW55yhioyu4hl95TOKEgfNlE64ntsfpXckWn13lsHhSgeJetfTvTGakxddwHW/iavuHy+5vS91fZJpfSdUu8FXoyHYKEDliMZ+YY0Da/L9bOV2r16N/LBkIcdyeMFalGsdunAfH7yPuejEYsppAShaU7TcQ7M72w3cLwJdl5+URhkcXnWAd9FJYZqIMOvAEmLfMuaJDasVjx+L8vYz0zHhZvBvWLdzzerNOMYkkxAcY6IYA6Li1E+Hxvwk6dtfS/mZJAr6LUgiMJyGYgQJwhaRCTLMTcV4uXkF1q7bEBcbefVSXv3VnIIE91Rf4+bz4QONhb2FgQmSG9xWLNIjONRgDsMlf7tmr9BfElEbYRdrrhJmqW6ueMr0nPiZA5uURHerntrjpiMZYypR7CR3M1jnWbrdi2TL7jDN7nDVjhDFliDZnmTd7lTjmyGqFxwkkjT2Wu1kiiAc4vwLz23msZPcVeBlHm+loXN48wF+dD383XrKd+u4OHbAHIcZP6is57Y5uq4h1PphhneZrxZ4VgmeVHdXpkhu5D0gRDu1UWg9jbQWp2zjY+0QWHJsyxZfR9cdG3dAJBzHuA8dPM5i8nEugnCMieFMCoT9sSV92r2P0bnQT5K4cIIL/+9/SgvBRSYhKI7gTCrGhnE+EpW1iIRTIFRPS7PiQm5pevj5KJeSMKuaeKdXVxKuuKo4ruOK2E3EH+UN2IHq83IYCnIUGol1JLs+yA65Eu7koSLhpytrInHAU+NMhqtRRaTTg2yv3hy3/iJfUBkJroaCcj9QEw6uB34otL0TonjDV7YhXKPIVtJLYnW47M4qT51qb4OmGPsC23NeUnsKHLRK3IzijeQcJXbp7Fiusp5HZwu//ZE1zkfWhErvyDeSzLeS6ij2He+6MNZ9GXxsz/C3VDi8WVPswP7l/MIw53oGJowjp3bvNFJRYVBRnIrRCdapk6f5eQXm6yQEplEhHEHp0M/7Sd+ypJ963L+UREbm66Sf8s7+e5eF0CAKiuEMKs5YhNDIGDeM86Aoi06wjHV1S3JSi9LCQpy0sn30n1wIHb4UUax/2GsTV7OVCMhzbXI443+A+zSVw2A1Z4O/bo2X3lU33QhV0WQTRU+FQ6Hap676G1/z17sfb/Uy2+VVpuNksQ+4Fg7K/cElb1DhB64HT90I6St0qgvXuRVt/Lwk6P3l2Cd5/p1Z3i8vhD/K9GoMtx6vSv9QntQe51bnZ1bhqltgLnvRVrnWWz9V41i23sngMxuCzm56XOw92JQ+3lMBxrrf3q+KcjbOC3AVXyew7G8cmwmujTRI7/Qp6UOHFtMZBEHAOCF+SmrZUmGYSmAoA6JgVJjAcCYXBf2yk/TNMvqZpC3b9ywiwfMjz0/TGP/RIehv2jYFwwyCyg1DTC6MwcVgkhkMCMcxCCXIiJKMXHZWalCYq4W5jI+F+LPygIF088sq68/LCYNCV1AW/DzGJkl5t4rQdxI0jqu24nec5Mt1REqNJDP1RGN0DmdYnrwfr9ebbPA20+p9ls3UeTdw0Rdc8AJlXuBqILgWOFsTNl4TPnErbrQxabAuYfR2xsitzGdXo1/eSGwt8HlRHtWa5AiaCl9ler9O83yZ5PIyyaXWSbnBU7PeS/OGp3qlh2qR1ZlqT+XhYq+RK+HvGvPBcDcYfdVUmJbnYHjZ3TRE8XCg0lGTI1uSHS2EcQReuIgTpX6PwUdFTq1csW7RQgqdwQMjNApMkCAMof3BFuN+RdL8N//BmdbfKolG5UMhnkUYfQGNWEhDIBzmJuhLGWw9DR3/AG+PUBddE0l/J6nbKSZPQ5SaDHc8D5QHFUGgKGC2JOJ9QVCu8QmtVRzlFsf6grSqdA+nSm/JVD9Q4aFQF6z0LEP3RZLacI75xyzLyTy7mULHyTy76UJnUO49V+EPGuPHayNmW9PB04vgUfFQY9qr6pjey+H9t9OH2/Jm24ufFvkPl0X2JTg+jrB4Em4+muvb7KHe7Kt1L8zoXpRpa5TJnQjj9+d9RrMdx0v8nl2MmX3cCEZeg76Ot1fz+vIiH6a4DVYkva3MbcyO37tCaPmSJet37lA3NXX38hdevmZ+ZpICE2QqTkYImGD+shL6NmfA53dgfouSCCoPQmVzYYwfCPwHHKFgCDeNJcS79KyElJW1mVugo5L6MXvDozdi9LqDldrsjkznWYJb0aAyGpRFgYZcUJOSo7kz8syyCtPD18yOZyntLDYQaQ3TbQ5RfZ6m8yJJ7X2G4UCy4VCa6WiW5ccM8/E829kyj7krfqA+CtyOBw+yQWchaM8H9wtAW97o7YyPLbmg9zLoKH1bHvEi2+d9QcBQfgC4Gjd+PniowHewwLcnwepFhtPctejhUr93uc4fUqxHst1707wGbxSB5+1g7PVg89Vr0S5VEfZ9V5LB+LOqjGiRnVsO7t23edvu6IS00LBoKoSjGINERjAaN4TQyAhBgvG/JP27klAyC4a4STiTk07nJDAyCtMQggdnHt1/2MrKwtnPzsDsrInG3soo3d4orWehiuCyyz1/mXsu8q12cpeUD5Wc2+2yjWK+jiPl3OqHkZpNXko3HKQfhGjf9pJ+laozkK33OkXneZzm20TdoXTjoTTTkUyLiUKHyQuuU1d852rDwa24yfqYqfpEcD8f9FwE3RdB10XQVTbTlP3+ctTLPL+hkrCh86GgNn30QthQceBQsd+bbOeP5z1BRdhYsddEgdv7BNP38VYvEl0HShJBdxMYfTHSc7s4zv1irGtjYST40Nl56zKDuohrwcLFPMsP7z+lfE6Lg+MHnGBRYQKns0kQRkFpfyBJ8/EtSkIgJpXC4ETpnHQ6iU5QMAyDUIKKnRaTNDY2tHG39A40d7WQjLUSbY/QmStxHi62KtLfXKa+/ZLiDjf+7zUXcZxdwKHK5mgOkQc3w/qz7e75qz6PMujwkxvI1BvMM+zP0H0Wq/YiVm0gSac/Ufddsv5wpvlwrvXHYqf3550GyzzGq4Knb0SNV0bM3UgAbXmgvRC05YLW/IkbyeNVieMViUMXo0evxA5eCBm7EjlxJWyszA9URYDqsMk8hw8JJmMp1m8jjIdinQbTA0DLNfDiHvj45N7tizcuJPbeLQeTz8H0662bVgoJLDdSt0iJyFu7aiuZhHxaeoMJTjICE0wIo/8l6d+VRKA8MMRcCBOLMIJE0CAcx1GCgdIOHTgseUbC2FrP1dPIzVrG/MzqhgCN2Yvek+XOjV7iSRJLXYT/7sTmiNgIxx9mxIjzTF7zBI9Spso9X8YbDSeZdfnI9kQpdMcqvknX6Y5Q7AyRexp5ri/i3OtotcFUw+Ecy/4M04Fc6zc5Nm/y7N8XuX8o8hgt9Z+rihwsCxipjAS3M4evRE1UJ83UZYJbuTN1maApd64+5UWW88MIvckiV1ATDopc3odpDsUavQrQ/hhuORzvNluVPdZyFYw9GxrsfNnbND7UBcDr2YnnHh42yxbzl2VXlGZWISQ6jeCe7yfNHxCFMdicEPpHkfTttm44ygPDLE6YtggjODGcjOA4SmcR3Hw8izdt2ahtrGFifs5U64T2CeFCW6meeFNwI/BJnPolo71Vhge7nGReeir1+So0OhyfqnQHdyNBtf+HdLOhOP1OL6n2oDMtgRIv07Ufhsm0B5zuCj7bHXT2SbD862i1/kTdvhj1gUzT58lGHWHqvXGG77McRvPcJ4t9XqTbv8pxHikPe13o87Iw4G1ZxGBFwvvKhGfFwT1Zbo8SLccueIOaiPEU007bY/fMDj72kH3upzbgqzURZz9eEArulIKRXgAGABgAc6+G398D4HXdjQsCfHw1Fxt3rz++8HsqTCXIFBRB6RiNe17SQjL8l6R/TxJCQ2AGgjApBINMY3ChOCeEwFSchjOpVERIWFBdX8XWQVdX+aie5KZAlQO13urgRuRIvu37XBtQHQQKXQYitN9HateY7J257AoagkBtQH+i7uvQcy/Dzr1M1uiIkuvPMeiMVugIke4Jle0MkOrwFn/ofbrD98yTcOXeSLVHIec6Q1WfxRo8jdR/HmUwlOk4kGH3LNnyfaH35JWowUuRb8sinp4PflkeNVybBh6WgdY8UBHyKkavRnt7lbxwm/Hex15ybyP0+1zl3gXp9QUZzVamgq4GMPh4erR3Zurph/7m130Njztuutvb7t1y9O8cKINYDFEwFGOgGANCaD8somAMNhX/lbSwb1PSfHAAALbu2LuAE4IQ2o+M5lcQfxdJ0BfnU/1YlDBCQ2Bi0SIu/qWLDc119QwVdVRO2qqfNDi25oK90odMF1AbDepCJqv9Xmeavk7S7/GRrzc92J+kB666gVKH/nj1V+FKT4NluyLkXmXpPoiUvRsg0eJ76p6fxH2vUx3e4g+8Tt11PdnmKdkdpvQoWLHZ/XSLm9RDH6XHAaq9wVpPI/V7IvVfpNiOXwoDDZmguQh0XAJPq0HvNfD0Grid0RVt2GAlct9G5K3nmdk43Q8JJm9ijSZSLIeiDd+Gm7yOdwXNV8CzFjDcDSZ6JgZbBp83gPFXUf7eXAtRAl+GUFmfPnoV+ZmVvyR9FUkwQkMxOg8fr4yitJaWvNzp/QoiW1QOrLnoaZSpsPdxmD54kD7dFD5U6f6h2P5Dqul9Z8kbpvtBtT+ocH8bp9oXItsdLP08QaMvRetxglpryJl7gVLd4XLdQWcf+kg88DrV5nGq2VXsnq9Ui9eZ266n2jzOPvJTfByg+jRY40284asE44EMu/GLgaA2GTTlgftloKcCtF8A7SXD5aHNfio3rUVfBiqDDEuQYzeW4/Q+y2Es32ko2eJNmDHICwIPqkFXPehr+NB7vfNW3rvuG7NvuzKiQxcsJFNwXhhm/CXpq0j6+aeezZ/lxYAQGkpjYnTa7r07dHTOKcuckNi/4eRmAV+VUy3+Fjlq+8s8pPprA0BvOmiJAZf9GqxOhuxGxlLNxrONn0bI9oRItQdIPovXvBcs35ui3RJ6ti1IpidSqTtErs3j1F3Xk3ddTzbYH2twEql3EGlwOtnqJfPQT7HbT/lpsNqrGJ038Yb9qVZD+W6TlyNAbTJozgdtxaCnAtzJfZLp0hKk1ewm+zRAZTbR9FWg+qMQveZgncdJ5gNZji9CjT/EOc4WhI+UxIKHV8Dz2lfN56f6Giee3suOCef4/gcujAEhtL8kfW1JP22EghAaiYqiNGL12hV6emo6qjIn923atYJXcsPSOj+rF9l+d5PNX173f1cfMN0UCe4k9SdbPnCTBfmO75O0ukOlHgRJtPlLvEzS64nVfJyk0xYufy9Y/mGYwn0/6RYPsSbnkw32xxpdTt5yPVnvdOKWm3iLt8xdD+m7rtIdPvLdgUp9kRqvEoz7020/FnnPXYsFNzNAYzZozB6ujHtd6DNU7HfHTSFJVCj1OH/gDkJ/JUlzHWSykx4pt+W81tGb1nI3LWVbfPR6c33Bo/K57urxrvqPXXcDXew4/v43jIf3L0lfS9Lnc1Fonz6L5/OOuUUUBGcwlyzjV1NV1FCW27Vx1ZZVS0U2CdlK7H1zJXG6OWv8TsLI7aiBSp/+Eg9wOwWUBoykWfZFKT0KPXPHR+Su76nucNX2QOXuBO2OWLWOCJX7gXKt3lL3/aRbvaXq7I+3+cu0BMg0+5296y/T6id301myxlb0tovkA1+Z3jCVl/EG/alWI/nu4GokqE0BtamzdakDpSHvSoJBW9FQnlfa2Y1Oq7hOL+Q4yMWxH+XYQeKQXrrIU2RNgvxOz93saMk17TEWUw1Z4MnND/euT77oVpeX5viOA2exYIT4S9JXkPT5nB3o0yE7rM95wAwqzqAgKARTJCVEDXU0dm5as239yhN7Nh8UZoQZSQ3WJL8o9Rm+EQoeZI1URTzJcBjIcuyN0O4OU2gPkqj3OHzbR7TVS+aGlejDGM1H8Zqd0eptQfKtPmc7Q5Q6AuXrnU7c9T/bGizXGiTfFqbcHqZ210+hyePsPT/5+34yj0OVX8Tpvk02G85xnirzn6uImamMBU1Z4xWxo1eiwaNLoO18f7p7rY1smNh67U18UkL0nTDHbphDRpgqzcdxGuOIllo5WOg9eiUW3K8cfdj48XnPnu1b/vYdBwyjnw6L+kvS15M0f0LBvCQujEEhGCQEWbRowZ7d282N9Pds37Jp3eodW1bv3MB/YAWaY6/YX+zfX+zzqthjsiFpsi4BNCSBmsiXKdrNvidq3Q81eov1BKs/8FbpiNC4H6nWEa3REab6MFi5O1z1Uci5RneJJl/pu8HyrWHK7VHqPQkGXXF6DyO0eyK12wPlukLPPYvSfJVg+D7NZjTfbfJC0FR5xMfSkKmqBHArC9wpADXpo6WRA1m+vUmeCfqKNmKH5dcJb6X+fT/3Atl1cITq1pmq0MF819c53kM3Cid7WqsuFrOYdBoM02AU/UvS15L0i9Ztvk76gUKlsbgJAlu7ZoWGivKmdWvXr161Ye2K9av5D2xcfFKQmmct353i9KbIB7Rkg6YMcDMJ3Mt6FKl6w/lIk69Yo4dYb7hub4Rhe4RWW7jGw2jtx/H6PTG6vdG6D8PVmn1l74cqd0RrPIjWehSn25dq2pdq2hWt9yhCsyNEsTNM8UmU+ut43cE00485ttMlXuBKyER5+OjliInKhLGrCRMVyUOl0Y9iHBqCzEs8DBNtNH1VpQ9yU48thb3VjtyKNxuriRws9R++Gj/dXg0+vPByd+L4joOXxUQoEAITXzL6A0vatnPfQi7q/EeCQF/OT/4ukn4Kxs+PkCOoOB2jMxYsWCCwbMmhAwfXrlyxWnj5sYP79u/YsHONwGo6eS8v1Vt2b2uk5dB534nSgPGy0Dv+mk1eSrdcz1y3PXLbQ7IlQLUzzrQ9Uq87ybQr3vheuHZnrGFriEZfkmlHuFajl9zjOMPOKN3eeKNnSaY9MfpPE4w7wtQ7o9SexKk/T9B4n6Y7lKnfn6z1JllvONe2P8t5sMj/3fmwl7mBj1O9W8Jt630NqwP1UpwkY+wlfbWOmx7fqLZNwP3svoY4+3c1CaDrUufl6LEnt8DYK2UVeY6/cdB5uEkI8vlt8/tr+Hder29TEuOXjCgoQUFQGCcQBOHj49u1Y+e2LVuXL1u6YdWqNYJLd6xftVFg2QqMdJSXy+6QYKrSzgKNvUGiK72PChXoHauylai2PtbkKdXgo3QrUL0j3rQzyawj1rAtQqcr0bQ9Uq87weROgEpbqGZnlH5vvMmbdNtXaZa9cYZ9iSZ9iUadUWov0/QHcwzfpmr1hJ1pdj/a6in6OFK9J9qoN8GuJ8HlfqRDc6jtnRCb20Fm1/206mJ0o/T3RmmLRKmf0tkkaL53bU2Ew2BDDnhd/+Z+2dvHDS/67q1aLfQ91yJOFCHTvrm8tv+9pK079v4hJJFhhIKgTCY3QdBXrVi5b8/eFYJC/DxsFoFuWC28d/OmLUvZ+3lJmhtpDnu4zTdQxRAOVaGFaer7r9hIlJsfvuEsXuEiVe4qfSdcpyPRpDPJrD3W8H6MQXOIxoMY/dZQzdZQzdYQjb5U85dplt0x+r3xRk8TTfoSjTrCVF+kGrzLNHwer3I/4NQtlyN3PU/1xmg/TTS/46dzL8yqL92vI8a1xsPwhrvebV/DcpPTl/ROdwe7dof4RYifcDu840aQ7cid82Cwefxlw/Db9srLhQt++DuBM0lkBCVY305t9B+QtIAToqJ0GGPM79n7neeT/r+SMJxGJkNsFveObds3r9+wlG8xLw/3SqFl61atXL2YsYePor9nmY/EOudDi8/wcKivhRM0Dpy3EM3R2V1qfqTUUbLCS7E2ULUlSvdBgnFbjH5zhHZTiMa9GL0HMfq3A1VaQzXf5jv0JBm3BKs+T7d8kWHVHavbG6f7KsXgeZLm42jFnij57kj5rshzj2N1HoYb3A83eRhpf8ff8rqz/t1A285o1yYPo3seJn1BLm+jwt4nJg1lZfcmRj9ICRq6VQTe3P7Y1wBm+j2cbRd8v5BO40WorPnjD393PV9LEvQfzSb+30r6sojnWzccIRhkCpVCoRIYbbmg8Pat24SFlvPx8QkLC61bt26NAO8WNklxM9v11DpPibUKK6gywhTPMxsTNfcnKG/K0d9XbH/merDWrXDtmyFqdUEqN0PUmiK1HyQYt8bo3o3QuhOmcS9SZ6DI+Uma+f1Irde5dq9z7XoSDF6lmQ5kmj1P0u6JU3mWovUsRastRL7O7fRNT6VqZ8UqB7UrliqXzJRvuZvfdjfN05ROV5VMV5eLOi0Zc+bsVRu7YnOTRD25xmRv0Fc//LgezA5JnDxOIaMwxoZQnkVk4n+TEviNS/p0vMS3KglCCZTGJJEhDKcRBJ1JZ61bs1ZYWJjNy7NqzeotW7dvXLN8lyBDZhPb/LCQncgKlY1MsSULLQ8LhZ/bHa+yPVVnT4aJyAU3xeuBalV+CtW+SrWByrWByndj9BpD1Jsjte6EadwOUetJNnuabtGVaPQ4xbQ7yfhRnH5npNaLJMNnyXpPkrReZBn2pevd8pcuNjuQqbXHZT+v2TrCeftS5+1C5ivZGmzKGfjvYjTO/dQFRyDqwUVkcZymuJRPaSXLVnTLxINK8LJt5v2LtcLCZBJGxXgXwdykb+/8pP+9pC3b93xjkn6Knz8VQcVoVBjHcAaO03CcxsezePnyFfxLlq3ZsHHFmvV8LNp6bkh6I4/50RVOYuuMD62UEIIM9y71l9sec257kvb+OJ0j6ebihbaSFxwlK7wUq3yVyl2lawNVq70U7kbq1PudawhUbg5R70o0eZxi+iBG936k1t0glTs+Cp2RWl0xWo9iNZ5lGvdlGjf4y+Qb7UtT3x4vt9XviLD1OobtWrbXztU+u9dabVy+g4tDgINjN5m67ftFwhwcWzg4DiEcUsuR++ejwct7rzvu8hI0MhmHaUt+oDIoDN4/myRo/ngJKk6CsG9TEhWnL6LACMGAqBgMowRBx1FCWHgli5tv2669W3fuEeTn3bIYk93MZ3pQyE5klaXI+tOCVPUtbMcTqwKlNyZpHUrQP5lmLp1qfCLD+FiBtfhFF9lSB+m6QI2rLrI3A9VueCm2Ruo2h2h0xBo8TbfqTjR6FKff4C3XHqLeHa13L0ytOVjxYZJud5rhdS+pFK2taerbrjmcvR9g0B1q8zzK7V1y8Fh23ERJdrWH02kennUcHMcomO6aNRa7NssKYhJCUI6X/lBX/YOGKpiLC0VZNXdpQAAAIABJREFUKI3/B4hYhND+PJI2b9u96PMJE5/62j8mvv0eV/bL2d6fPRtKUBAcomIwQhA4k0FnL122XHjFmp279u3YsG4Dg6S2W9D11Dr7o0I2Iuu0dyxR38xtcUDAU2y1t+Q6H7l9EVqi/vI7c8wlL7qcK3c/V+mlVu6qcNFRttpT+bqnUr2fSmOASpXzmQYfxfvh2k+STa87Sly3l7xkfrTW8+x1j9N1AXKXXcSyjXdHKqwotz1xw0mq2urMVePTDbZqnX62fREezyL8RlNShhPSr+lZdPtHvEhIBNWXphsuVMfYJ7hqDHTXVZblLvjbdyhCX8iFYTQeGPu2GP0fkkTFaBBKUGEcRggcYxA0Fi/f0nXrN+/YsWujsNBWNkl/n5CzyHLXowIOIqsNdi7W3MQ03r3Y/rCg4/EVjhI7PBWOJBhJxWiL5FjKlrqonrdTuOyuXuWjVWAhXu2pXOOtXOupeMNNpsZdtsFb4ba3YqHenhKDgzmaO8+bHM43PVBgfaTI9liBxYFcw10XTPY3uEjddVe8ZiR2QVPkuoVSq7tpu4dtl5sryMwDWedBSfmrhNjZqhLQcvnpteTiWLvhl81x4b5/4/iORmdTqXQUo5Oo6K/e5l+SvoqkH3OZyTh9Pnd4/l8RlI7hTBqde/OWbTu371i3lGcPH8ns8DIPkSX+osvcTwpb7l+iv5Whv5VhvJNtsneZ4bHNpqI7Q7XORGhLhGuKxepJ5FgpFDqcy7WSyTaTuGAnk28qmmt09Ia7fLWL9AXzY/n6+9LUtqarbI2TW5eosjlZe3uK3q5LruK1vjJt4SqVtkf+H3vvHd3GeeV/w5ZYUGcAzKAXgr333gsIECwgwQIWEI2oBAiiESBAAuy9UyJFUl2iRElU7822umWrWnKL7TjZbJz1ZhOn7ua3m2yW7x+0ncQp72aTTZyNz/meOUPwDAYYfnif+zz3Pvc+7K9+Z7T5NXf1aUXeyZbiq9bGlxyqVz3WKyb9ZVPbG+PDr4/3fnRi1w9uH/nJs3Nnd/d+8q2HRnXzli0+MIWNJVAwBAISAP6UTh5fkfSnkrS5dvppdiUeik1MysvNTo8KLAzwc/MDt9WGLNWFTFSGeXiB5kyaNgnSJkHa9ABlfpySm2qtyBmUlg43lww387a3ihZ1lQsawaqt+lhH7XpH1aE2/ssDTde9tZfcFcfbCg5pMmaFweOl7HFh4Lbm2CVV8kujdc8WVR8ftn59Ufmot+x5X9U7ww3XTbxDkvQ9kqylxvzJ6lxvSaorP2mgIm+2uezpgYl/e3L2x88v7hk1v//4pbzMVH8/DADR/AEYCYFoEuEv0HbhK5K+SBKaSPqMJCpAoOLwFCwII/HEgNDQ/IJsXmZ0cbCPR8Da2xy+p4EzIwrsL+VYcyiqRLw0FpQkMsSZsbW5SY05CdL8RKeY36+odFTndtflz6jLZ1UlM/KCtY6aPa3cfbrCPaqsE1b+YX32fG34tprwiQrOhCh0hyJxtz7j1njTG9vk39rb+v0DhjcHyt7w8t8Zqr7eXrhSG9VXyNQm4+uS8eIsZl0aU1sUY61IOTfT8eOn57/78OyRec+Dl86GsDkYDIQEaX4Ekh+FgKJ+RdJfnKTNkk6br3xOEhqEUBBMoFPSMpOqipNqE4GR6sBVZdieevqimDMiZDsKqKoUfFMsvjqOKkiJLM1ILE2NqcmKUwpy2qqL2irzTMJMZ3W2ty57u678gL16d1vJYWvpuqPihLP0hL3kuIV7pC1/T0vqfl32moV7wiW4Ny17PCN5d67pOzuk35yu+XCs8mkP/4I+dbku3FNAbojaKsmCSmLRhSF+4jS6MidowVb/jRurHz04+/bt8y+dPgaDZADHQAJ0NImBpJJ8IOxXJP11SEKCJBSejCVQcEQqDk/B4GE0mexPBIIi2CJeokUYvluXcFQdckjO2iMPna4LdJXQ9NnkxkSiIIaclxBamJZQnBpXW5QhykupzktoKctqLoqrTw9q5cd6G3KGJFkTsqzdbbwT3dX72vKO2HgXe0XnOssOGXOP2flr1uLT3eUvDdXdG6l5OFDx9SnRvyzUf2+x4f0x4d1u7kVn0aopb5ssdbw2cVSUMtWQ7+YlGHNCj/UZfvTG5X/9xv1ffPIP+5YW/HxAgBCExnMwEBtDgpGEr/ykvyBJmzBt1nZCgyQ0SNokCSBQsQQSGiZtBdAwjVjJjZ3UZp7z5J9oDTqp4xzWRyxIgvsrmO0FlOYUqCSalBcXWJAaX5afyctIKM9LrSxILU4J5SYECNODRClsZV5oT2PuhLJgVJK+t71kXzvveGflmpV/zlN1pL3otLtizVp8rqfy2kDNq2P1D4dF783Uf7ws//4u1T/vUn17T+uHe0zv7rV+cMD9fFv7WUvVa5Pmu1P2i8Pmt0/v/Lf37v7XJx9s/PzHfT29CAQagEMwhEAkQMdAZAD+k3rnfblISkrP9sfiN+sC/u/d6U/U5n1/790JRByITo6AD7hL7k3wrnREnGplnGyPWpKwJyupA+Ws1mx6VQyZF83mJUWX5qTlp8WnxYalx4WmRLG56ZFZkbSCSIokL1JfHNdZmTohK1purdjZKthtLD3iqDrdVXWovXDNWnzAlLu/LeecR/j6fMu3Djne32369qrjZ+dH/t+F8U/W+35ydvz/XZr75yO9/3jQ+c6S8dE2ww9eWvnk7tGfvnVj4/sfbPz7D372kx+GRsb4YmEMxMaROEgCHUmgIsG/Pjp/Fv3NkPQHBGzWpMeDiSGEI96yx/OCW57YK/aQI/qgnc3s+SrKII+sz6RURRJLwqmChJCsyKDkiKDUmOC02JC0hJDCzJjc+CBuQiAvmlkeQ29K5riE6UuGmgP2xj3mun3WqmV94TZl6pI2a7ElbVmTecJdfnWo4caE7OmK6cPV7o9PDP3gzPhPzk7+9PTEv5+b27i+7QcnPN897vrgoON717f/4MH6L7/9aOOnH238/CcPXr/PCgzxxcJ+INkfT/MFSCgiDSSzv2wR3L9jkgAynkDCEwkRLNSx3oo3l0T3B5Jvdscc0wcfUIXOVcLeAsCcQ5EkUcsiyWVxnIwQRnIoMys2JDGclRITmBkfmhUXVBAXxI8LEiYGNyQHq3Oj7KWpblF6f33etLpkoZU/IcsYaUrxVIYP1cevOYVXRuU3JlU3J1UfnRz6/tnxfzzk/eTEyM/OTf5ofeQHx/r+7fzgTy8P/9OZoU9urvzbG+c3Pn6+8ZOPNn75sy6nA4XGInEQCk/GwUwUnowESSBM/6tD8BVJvyIJJFJACGZDL666BZ+TdM4ac6Itdr6S2J2NdHGZbflB4kRaVQK7LCE4L5pVlBASwyYkhFDjQxlpkZysyIDscLYgIaQ6OaI2KbgukV2fHKDnxvZKCpyiZJswtqsmubMqrlecutNccdTTeLpfemlI/s7B7m+s9b+3x/XdY4O/uLbws4uz/3Ks/yfnR398efxfLk7/6Pb+f3t+6d8/fG3jk29t/OfPstKSt271xeFJAESByAwckYzCEjB46K8OwVckbYqCw9MAAhUgksg4xKIp+80dNfcHUm50RV9yJFy0p+5uoA8UoD3FDBs3qCWdLcsMbkwPESZwylNCkjmEtDBaaiQrMyYkPSooPSwgLyq4KDJIEBskSgmrTQurTw+W5kY0ZYXWZ3DU3BhNcbSWG+GsSRtWFC21V12fMZ8bUl0f1z7aYXt7l/Pr+z3/eKj3w32ud3bZP1zrfffwwDvr01+7sPs7D67+8nvf/P63PgjlsAAAgGAqBiSCeBiLJ2BxII5A/LJ53H+/JGFBKgakYvAQGYcYbo59e7nuwXD6HU/seUvkZWfqcXXofDnsLSRZ82jGXHZ7cYQuL1SRHSrLixLEsQrjAvISgjOig5PDOPkJsQVxUTmRwXlRwaXJEeXJ4YLEQEFiYENunCgtvCE3piY9rCyeWZcRrCtJ6pEU7+1SLFvERz3yy2OGS8OalyZab0zoT3c1XBlQ3F/seHnOfmWu8+a+qe8+v7vxi5/evnoBQKNwOByIhzfDzyCeCOKJGBD/FUlfElGweBoaoGDwMAX/grOC/c5Kw6PRzE2SLlrjz+nDdtXRhnjkznxqRyG7gxfSXhBo5kW2lcRKssNKEtj8lLDUcHZiMCc9MiI3NjY3OjIrIiQ/Jqw4KaIsI6auKK0iI7Y8PUZcmFadncBPCBYkhQgSA4XJQbKi+C4Jf9rUMGus29ZWd9irPtqn3WUTr/eozoyY9rnVa8O2S7tnv/fuk43//Jnban4BgcCgQSyOAEJkECLjCEQQgtEA+BVJXxJRACIDA1JRBJgObW0rIr+9XP9gOP2WK+pqR9w5U+RpNedgA32mnDJYwujmsex5NEsWtZMXYi2JVBWECmKp5WmhWRHsjMiQ9IjQ/Pj4wsTEgsS4ouS4ouQYbmpMaXaSMCdFkJ4gSE/ICOfEs8npYezUEHpiACkjjC4uSpELshoKEhS8FGNVXmezYKK9ccmpmjQ02ur4U1bt3onB+9cuvP/8DQoE47AEMoWJw5MAiILEEfyxIJ5EBeH/CxO3T0lKSM3EflaZa7MM9B+m6q+Nzu+wSVg8DU+i+SMQxkLSOysN9/pSngxlnDWGHJYxzihZF3Vh+5qCpoTs4XJ2D5/VW8J2cxk9VdHqHEZjJqs8icmNDeCnRGWFB2eGh6YGBydwOCmhQdlxEdmJEemxITmxYVnRYekRwSmhnBg2I4xKCqbCoXRyJJseyaamR4XkxIeX5aYUJEWW5yYZGoSykhxxXlpVdoq0jL8yM7V3cUdOVi4aA2728/hVr7MvcaX2zZNNJP6b9gWxsbERnZCCAoifk4TBw5+/198ESRiQisSSSHQ2AYloLya/u7Px0Wj2k6GMM4bg4y2sa4aQe87ky9bUQy2xczXBnkJouIw5Vhk4L0tylYeZy6IkWYHcCFJOKCUjkJYWyEwJYCawaHEB9MQQdkI4OzEiICaAFhNAiw1gxgQGRHPY4SxmGJsZxuGEsNmhAQHhQQHBbEYohxUSwIgNDUqKDEmPDIug05LDwyt5/DJeaQAr6MUt/miQhCbQUMRf16/3hP0S6X9OUkhkrB8G3LwGgChoENqMt/+tkEQksX2RIJYAY7YgrCW0r++TvT1d9KAn6aSafUrFvtUe/qg749XuggvWzJ2S0L5CYLqSMScOnpVEOfn0zoowbWFATQKpNIpcHE4rCKFlBdLTOfQEFjmCAYWx4EgOJYpFiWSSo5i0mMCAmKDAiABOCJsTHMDhsAODOMGBAUFsJiuAxY6KDA8LDQ5g0KlEOC8jS8AtiY6K90fi/NEECiPEFwujiAzkpiDaplBE2pct9fZPIikwLMoPA25eD0AUFED8myKJhMNTMAAJR4CRCIS3NvTba5q3p4vuuWOOtzDP64NvtYffs8W+Yku+aElZU8Vur2XtaAxcbg6dEQc5igheYWBHaWBrfoAymyNJ41TFsUojmdwIVkYILYYNhTII4WxSVAAtnEkNZ9IjA1iRnMBwdkAQk81hBESERYYEhYaHRgQHBoWHhsVGRjCppJjoyOJifoWwJjwi1hcJAhANILH8cBSAwkERGUiI9tnxU/1fIwmJI2zWgP6cpD90p78+Or8hP38smcIkkanAFsSMKvU7hzVPRrLvuWNOqwNeMkfdtYS/3Bp0XhNyujXmbFvKWUv6Wmv8UVPSPn38TGPQQkvCaEOktyrMWhzYmhMoTWKKoqnl0UxuDDs9lBYXRI4KooTQIA6FyCHDwTRKKJMVxmKHsTihAYGRwaHBLFZCeERkYEBceGBcKDsxIsBi1IyNT8K0AF80nsoK9sEQfDAEFJ6KBCmbFVc+O/52W9gvi/7nJAWFR6MA4ue+9ubo9rficYN4EkSkEvAkFAoDvIjY2V7w7VXVo4GM287Ii4bQm/a42+2hl1XMMy2Bp3XRl6zpN3q4V70FFzx5p1zZhyypq5aMRWXcDlXyaE2UNY+lTqHWx8BVURRBLDM/hpUaTo8LoYcyScF0UhCVHEKnhrIYmzBFBnBC6LQQGiUhNDCKRUoOZWZHs63K6uMHljKyMjFEqh8O2oICARKDwg7ZisYTqOwvJzd/fpJAmPo5QwBE+Rsiicng+PkhIQhKi6SeH2349iHls9Hc++7Yu+6Uu51J13Xs83LyJX3oFWvSNUfmrX7uq1MVV/oLLvTknunKPmRJXVSGHzZlLsoT+gSBnYWBunRGQxy1IpbGjWGmh1PjAqlRgfQIDiuCw4oMZEewWaEMeiiDHsFihFFJMSxqLB2KpQE5YdSa7MhTi/1zPZatW19EoDAYiOwHEPxBIppI8kHhNv88m4UPv6C/Ojp/TpKQOAKOSEYBxM1XQZj65yUJSyBtbvLH/YHMkP+xAGjriz78wtyRDtn7J7o/WlV+babozdGsNycL7ntTz6lpJ+Xkl21xdzzZN7uy7/YVPZqteqmv4OVB7ktDgnVbxoIkdNWYPVcfPdeQNF6b3FkSq0zjiGLpvAh6ZiAplkGIpEPhTGoEhxUVxAnjcEIY7BA6I4rJCMZjE+nESHBLVgDQmBPeq6r4+PEFY2NxblZycmZmdEJyQHgkBiL7YEEciYoiwJ+TtLm6/Zn+D5EUHBHz+crk56Pbn/XDUdAECha/6V1uOgd/qM/p78KFgsNTAAIVJNIwAAmFhTbPN19EgyQmgzY76HA353543Pnddc1Heyrf35b//iL/pjfutDHwtCHkoiXmjif7+Sjv3cmKN2cqHowIXvEUvtwjuOwuPW7hrbXxF2TZk3UZI7VZLkFKS1poVSiNxyJxmZSCAHoSjZjIocYEcYIDOAw6h04LCKAGhFIoCTQonuhTFgq1lcSPakqv7u3/z48fdGiEIAqRlZmSmJyQkJbWrNXTQ6OREM0XT8aRWRCd4+OPhWAqAEJEAhkiUnAA9LsWmeDf0l+QpM///0H488bOf9hM/IVIQhMoaALtM/26s/nHkYTGwSCRBhJpn2OExsFYPA0J0kJCw9dWxk/Pm358Z+wXN5zfOSD8aDf/6VjqVWf4ibaQM+aYKx1JdzyZT4fyn48WvTVd9nym8uFI2Z2+slPt+XtkKTtlGbP1yWM1SUOiZLcgUZcZVhfBKGWT+HRKIYOaxaIksChhdHoAnc1gBrKYgRw6M4xCDNiKaMkNdwhi++pSTo3qv3Z5eeOTJxs/ere6JBvpi6BQoRf8/DiRcR3943BQtB/MQvjjsRDDH0skUVkgAAE4IgjAWBwR+5sYfUXSH7JJf1Sn5d9maFN4iO6HwuMhOoka4IfCo7AQiRqAIzARLxAqRE07tw2/eX1x42tLH5+Rffeo8J/2FT0ZjL/pjLrWEXezO/Nub+6D4fynE3lPJvIeTxc/nhG8NlZyq597uj31gDzqgCpxpTlmQRI73RA7UBVlKQqWJjHLQ6ACBjGLBqdQaJEkSiCJxqbS6VQagwoF0cF4Nro6ieSqiplqTj1oKXu22v8fz8//8oPbG//x0Sfffq+2RohE++Op9KRc7vy+o0kFpQgkgcyJxNM4PigQD1FBAMJhCTgAIhB/+4H8Nkbwbz7Jr0j600hCYSEcnoIFyf5oAgoLEWAGQKAifPAgM97mGRvodV5bH/vlN/b+y3XjT6/IfnBM+LWZjKeDaY/6c56N8t4Y5z+f4b+1jfvGfOHDOe6rE4Wv9Ga+3JN1pTPtgi31UkfmUV3cXmXUQlP4WE1YZ2mQKpMljCDlswgZDEocRI0isSNo7DAmi00hsEl+SUGoyhRCV014byVn1ZR3a1L+zqHeXz67sPHRk42f/dPGL//14aP7YTExnKiY4lqJzjWgtHkQviACSUASqABEA4kULI6IA4h4wubGvV9/FL8To69I+h1k/HdE+Z2CyCwiiblplgKCIn2RIBYkCyolVu92R/+8w2XtdTa+cXXwF2/PfHJV++Ee3ke7Sz6cK3x/ivveVMmb0/y3tpW8vVT6bEfJw3n+3fGiq960l7rTXunKuOXJuuPNu9Aef0AetKOeMy4K6C7l6LIZlVFwYQCUy2GmsILjGSExzIAoBjmCikpi+ohTQbeQM1XPWTel3hmqfLag+fj8zI/uH9/4xsONn/7zxn/9/Jvf+U4OX8CIiCtpVGldQ/3b90Vk8X2IDCw5ACSzkRg8BoAgMmPTyv7qi/9qQkf8XF+R9OcnCYkhIjFEMo1DJDERCD8UFlLr2i+9fH9l7ZLG3qPQqhUyweKI/GvXhn72cPSbR5p/eFL+3f01314q++b2knfmee8ulr29UvVsSXhnrPDuKPdmf+7tnpxbXZl3u3Je7y283pF6Sh+zXx6xrSF8WBTRXhBYGwXzAqGiYHZhRHRqYHA0FY4mIVMZPsJopINHW5SFn2pLfH1I8GC0+sm8+juXt//w8YX/+u7X/uOH//Sf//XL6/fuFwhr2fHpwWnFdUZ3345DBu8kihKE8AV8MBAA0SAq2xeN9/EHiCTmb2H0FUm/75MRYBD/G/r0ef3xNskfTfDxx77ogwqPip/dtvTSjbujU9v6p7YpjGZRU6Nc0WDWi7f1q96/Pvvj+9M/v9P30wu67x9p/M5e4deXyt9fEr2zQ/x4tvrecPGDccGDEcGjIcFrXu79Lu4DL/+6OeuCKeOIJmm3PGm+MbmrJEYWR68KpVRFBZYnhPNiA7kRFF4oUBeNs+ZTdjREnG5NudWR+7pX8NpQzaPFttdWRz56eu2H3/vmN779zdWTp9cv3+jftrtW5+CkFfNl7eP7z6ycfvnC3Wd6Z390Su4L/iCGSCdQOQCRgSVQfuO7/wZJX+zfstkr4e+XpC9g9D8mCbEFFRQaU8Qrc7i8p85eOnnm4sz8jsm57QOTE602q1Sjq65vqqgoqy0rbGviPjw5+p9v7vnZnf4fXDB8Z63xg1217+4QP5treHW44s3Z6nfnqp9PVL41XvXGUNWDnvJ77pKTqsR1ddJ+afxuafKSNH2wPLY1hS2LYbUkhzSlBKoKwo0l0WZeqKskcFYcdcqYe9dT/qBP9Hik6dUx1dtrY6+fWnl878ro/Hh1S0utymDqGZvef6pn8XBte29Gra5S7/FsP7xy4vr5O2/sP3kpKiUX8SLaF6AQGSE+GOgzmCi/CRP8t0fSZtxtc137v7PG/ccKTyDhCaTNrFMsjoADPu1ljgVhPETdXAVFATCWQAFhOgjTQYgJQkwMSEUDFCyBggZJOCKVxg6pbZTP79h99tK10xeu7Ny3OruwvLhz7+jkzNy2WWd3p0rfVipqLCipLimpKinKFwvSz644Pr6z/R/OdT7f3fzhQe2jmbobfRXvbJc/HCx5Z6L8G9vEH25rfHO05o675Iol/4Ip76gmfZ88abkxfqEhaac8x1MU6sgKaU2gWHKZTl7AYHXkrCx1UZG6oko7Ziy87K6+MSi/N2O+vcO7Pt096DRJW2QCqYwnV9fq7VUqm9joaR/d5Zxfk7pnGjvGHTMHZw9dnDt4ZnrXmntktl5pREEsxFYQpAWjCTQMnowj0HFEKgZPBiDKZvQTDUIgTAVhKhJHQOIgHJEKEmko7P/6DoI/1hv5y5GExoAgHoZJNDKFQSLT8TAFhydtkoQlkHBEMgDRAIiGIVJRALwVjfdFETFEOoHExhDpfhgCROeIxM3bd+4/vH7myKkLS7v3j88vjEzOjszMzy2ujExM2u3WgYEBlb69sk6Zxa1JzOTzSmuyMlOL0sJm3M3Xd3W8vt/2bK/59e3q16aVj6aa35qp/mC+6p2pyoeDgkfDokcjNZfthbsaI47qM/cpE9dN+cvShEP6ot2KbHMisTOLOswP2C6OXJYn71Cm7TfzLo3Irk0ZTg2qLsw6ptsa5fwsXkZSdnZ2apEgllsZXliZUCIWyMxq77xzfs00dUDqmdcO7xzce35w54l95+4sHDrfPbl89sajxdUz0dllCBQZiWfgYDYSpPkDZBzM/DRgB1FwRDISR9gMZIEwHQXAGIBEJDH/fkkCQAgHENEAAYkF/dHg5swFRySDMB2DJ6MAGIWnYiEGBmZsHjFE+lYshPDBUgMjWlqtqyfOX3r5zomL1w4cO7G478DQ1Ozg9OzIzNzg9Mzo7PzwxHR3V2+b0WLt6K5rVucJalILhaHxmel5xZnZWQWZyc2l2XMdslPjbddn2x7tsj9d0j6drX42Xf58RvRkqvpuf+nFjtyTxrR1Y+rxtrT1towjxrQDupQD2syDrbkztbHjFeFL1RHbhSEL4rhVc8n5Sd3pefOMW2Zs5nOzopNiw0NCQgLDYgKjUwMTC8JzhAklTWlCRaXe0za627ntaPvMEev8etfO8327zw3sOj1x4PzMgTPDS4e7p3fNHTh78uaz7qndtNDkLVjqVgwZIAeiISYaooPUABSejIVoAImx6W9gQTIeogME6t+1TdqswoYjwCBEJsA0PIkGwlQ8iYECYD8chMJTMTADDdF9AdJWLMkHB+NpnPiMfLWpY9eh45duvLp+/tquQ8f2rB3fvmff+PbFnrGJnrGJ7uGRzv6B7uGRgYnp4bFZV/eAutXc0mqukalTi8oScvlx2cWxqQUJyVlJMQl58VFNRSnbbJIHq0PPD3s+XHc8XZa/OlP32pT4xmDFKWvWujHlnD3njC3jtC1rnyrmXBf/qI17dUTyYNl+sVeyUJe80pRx2FJ1YlCz4G5W1+VmpgWHRwUExkQQAoJQ9BAoNJmTXByZXZXIk2VXt4oMPU2OidbhXabJVdPses/+6yOHb7l2nBref3F67drc4UvumX3TB88vnnipe35t4sD50zeedo0uBcfnIl7EIdCQL0h9EQPjyCx/PMUXS8TgyQQyHYen+PgDSAwRprD/fkmCyAwcnoTGEdEgtGmE/LFEXyyMhRgAhY0lsV/EwIitWDTMSskTNKlNk4t7T1y6ce3u41NXbh09f3X94vXVU+d2Hj42u3N3/9RM58CQo2+ga2TbBOagAAAgAElEQVTEMzbmGhpyDQ53DU17hmfa7O4Wg6mpRSMUNxYL62LTC6PSigOj06nsqIjIuJSYyLzYYGNt4Uq3/PpKx6sHHK/vtb8yqzzvFZ62F5yxZp+3Zb7iLTpmTLzq5V/sF708o37n+PiqR77PqXh5znu8zzxtqNcIs/OTg4ODKZQgOjkynB6XSorNJMUXUBKK6QklQRlVWZW6an1vvWVE6prWj+w1TKxqx1Y7ls/1r77i2X2xa8eJoX0XPIvHBneesE/t9yyt773ydO74zYW1a/vO3D529fW+uX0JeeV+RPZWPO0FNISBGQCJAUA0DJ5MgGlUGptApGz1w/z9koTGEZEY/OZ4TyAzcTAdBzNBagDCD4fwBzAkdkIWt9Xu3XPk7EuvvnH/2QdXbj88fvGVgycuHjl77ej5q4v710bmF8cXlr1jE46+AdfgcPfIWP/09ODsbOfgoLW3z9A9oOrodvYPa9utyhatSq0vLq0qLKuNzixOLKykRiajKQFkRgCHHRDJYUQxCc2lqV59xeFR4+U584Uh2SlH6QVb/sudRRctGY8m6671lD9cNn10deXCfLdBmF+RHHN2ZdHTqilKSQwJYDDZDDInAA6LoMSlARGpuIhsOIEXVtSYLTaVtLjLNd3lmm6Jc1Lh2aYb3qMbP6QbP9w+f7Jz5WLnyrmxtVe6dpzo333WvXCsfXzv4L6L3l3nRw5em169tuvkrcUj17cfurTr+DXv5HIGvxpLC0L4gf54CgDRUADs549FoUEQT4L+97tTfHlJwpNoeBINorKJFJY/ACN8MQg/wA8kx6UXKI0du9fOvPLa83vPPrz95P2r956dfeX+qet3Tl67ffD05aVDJ3asHpvfe2ho26J3cmZkYbFrbLxnaso9OuoYHLT39xu7Oq1DA9JOl65/QGG2WTq9FlOHRCxVyjSiWkm2oDKukEeJT4ZjEuDQGByFQ6GFBrLDA1ns6CBWeWZ8j6xyzaW47Gm+7hK+4uTddvFve8o+Ptb3jZPTH1xaPTzRz01Iyk3L4/KrYtMLguLTw5KzOfFpICcCy44iR2YQw3OCM0UpFZpssTlPYuVp3DUdwzLvrKp3QTe4oupfUQ7uNU4fsy2ete84Z188Y58/PrD3Qsfc4b7dZ10L662j+wwTq56dF+yTq52Tq8M7T88euDh34Oyu49cOnXt597FztTIdhROOeMEPDZKYrCAcAPn7YWES/UtNkh+AByAKBr+Z6QZtnmMJpM9WVz8//k/i0iiA6IPCveCL2orEEumsjAKurbtv/7FTN157+vpb77/+/IMrtx+evHzr5OVbJy7dXDtz9ei562tnL6+dvXz0/NUDJ85MLe3qm5wemd8+vrDDNTTUOzk5MDM1MDPVPTrc5nLaBvpV3d26/gFL75BS365Rtzls3a1ac32TvLKpOb+6NqawOCgrjxWfGRifExqTRySFkKkhLGZgCIOZHsJWFaWutNVdHVDdHJDcH5P+46Hu9w/1/eLphZf3z1Vmpyvr5RFR6QGJ+YEZfEZSATYkARUQS47MYCcWMeOKwrJqYgslCQJVmshQrOys6xiT9sw2e2dkXXOtg7tVPSvS7qXWscO2hTOupQu9e685F055ls907TjhWT5lnly1zR3VDu3Vj+zv2XHGs229c3K1e+7wxO4zC4cv7ly/unr2lbMvv37o1BVHz2hSZqEfGkJsxaJxZALMwuFpnzV1+cLa0hcjm7+2Eer/P63g810unyGyeYsvXvLZQiANBBkgSPt06xWRhNjY2AgIj/QFASxMRhEJGIiEIhKwMBlJwGM32z8S4E97if5qCR/GEWCASMLDFBCmYAkwGiSiQSKWAGPwEI5IAmEKjgD7YwA/NA4NEAJCwrOKijUm88yO5bPXrr769MmDN5/fe/L46q07Z6+/dPLilROXrhy/cPXImYsH1s/uPXLi8Knzh0+fPX7x8pGz57fv2jM4OT00NTOxfVvP6Ej/xPjQxMTA2EjP0EBXX4+j293u6jR7+3TObrXZoWqzq/VWlb5da7S2Wpxqk61OoS6ubsjgCaPSCzhRacHRGbEpeSGR8WFRsbFxCSnJiYkRwaKC5KUe/c29Aw8O9n5wZvobl7Z/eH3fUl/7ZI9TKW/BkQNC0org6ExGUgEpJouZzA3JFsYW1+eLjVkifUGjVaB0V+h6yvU9ZTpvaatXaOgTGUdU3UumkUOW8SO2yWP2mePdC+dGD7zUu3Khf9eFwT2XelfOOWaPto3sM43ut0+vdYyvdU6uTey9OnPw+vDK2ZHlE5N7Ty8fu3r44t31K/cu3H56/sbD8cUDvKpmIj0c4QuhUTQKKZhAYPmjISyBgoUpGDwMwnQcnobCkrAAHYTYGJDqi4WRBDKOQsP+ZvgF95ux4U9TWQiUz7PLP8UIZGLxNDSER0MACoJRRAoWomEgsj8Oh8TgiYRgAi4EQDMopCAsngZSWYiNjQ12RJQviMeQKEgihIHIKAKEhSnI31VDY/NDYABos6QaCk/2B2B/PAkNUbEkOhqioogUDEzzx5NeRAIwI1AsUS7sOnDy8tULN25dv3f/yp17F165ceLKlQPHTyweOLDv2PGdh4/sXD26a21975FTu4+c3Ll6Yung0Z2Hjy+vHlk6uDa3sndwerZvYmpwenZgaqZraNgzMuodHu0aGHL29tg93e2dzla7w9DhVVncyvZOZbtT3tYhNdhkRruyvcPQ6VVZXM2t1hpFK69alloojMkojkkrSsoujs/Ij0nLz+FX5ZVU5HOLTfqW/duG376x/q37p3749ktTTqVaXNaqaSExg1jRaWE5pdjgxKji2tQqZYW2q8E63Nw5JXPNylzzsq5tjY7pcn1fVqM1tbYtR2LnqT2NHbOqnhX9wB7dwJ620YO26aPelbOTR26Mrl7v232he+m0e/G4bWZNP7RT07+iH9jlnj/ZPnzINb3uXTw7uHx+8sDVyQNXZg9f23n69uFrD0/efHbmzlsvP/mHV55+a+XodZNrgsVJ3uID+SAhmBaAI1ExEAmA4Rf9UHg8lUhkAgAdh6MRYQ5AZPhgIF8cHkeAcQT874rl/YokFJGyKTTxU4OExTOxeAYaAlAwdpOkrWgijkTFk8kQlYnFsNBINokY7OODRwEwFqYgNjY22OEJvgAJC7FQeCqGyEThqViIhQRpaALjC8LiGWgCwx+kA9QgkBbsS2T4EOhIcgCSHLCVQPchMrYS6Ag0hKUHV0m1u46ePXX97tKhk/2zy8M79o4v7R9a3DOyuHtsZf/UroPjOw/M7Vub2nNoZvfh2f3rc3uPT+46Orl8dHxlbXjx4MD2PT2zS66RWXv/RNfYvHdywd4/Yesfsw+M23pHTV0DrU6P1u5WWZwyU0eTobPB4Gw0dkpM7qY2V4OhQ6y3ifW2CnmrSGWu1dpEKmtJkz67QprErY3NE8XnVafxJKx4Hj2mKIkrLhDK+EKxsLxywN1x6cj+q+urs0N9NAo9LDY9Pq+amVQamFPFVdprzEO2mVWZd5vcuyj3LtU7ZsuNo0Utven1HfHV7Ym1lsxmV6G6j6cfrLKP13ZO1jkmajsnpX0L2vE9lu1HPPvODxy+6t59xrF8omNp3TB9oMk7V9s52dA939K7R2zfLnMvyT07W7w7jSMHzJOrroV19+LxibXrKxde33/9jfU771159vHN9354+91/ufvsW4NzK4l5xb4QjMD4v4j1Q0EYKouyZcsWMkwjE6gYX5CAoZBABgGgQUQ6iCf9lin6jUHtC/r0V3gGFk/DEolYIn5z6AQgGghTkQCAAggEEgeJpfqiiPSAUAwA+WMAxMbGRmBoHBJL2txdDxDoGJAKEhlogIbFM35NzM+OTAyB5QfQ/AksLJmDhDkIHHkLnoGiByHQMJIWWFgjnd67du7mw93r53unlx2DM0b3kLlvwt4/1d47aukZdYzMeCcXPNOLPVOL3pkdfTMrPbMrnoklx/CCY2CbY3jBNbZoH5qxDU5bB6Y6Bqado/POoVmDq7+ta9DoHtA5elosbnlbh7TNLtFbxGqTqKVtk5hNgGq1lmp1u0htbOnoqdNZeQ1qrrilTGoUSFqTi+vY8YWEwAxiULYPNREVkE4Izwc4aazIzKRMbkZadkFWTmxIeFWZKCwipaBUwm+wJZaqo7gNcHxBx+zB1qEVdd8OsW2sVNuTVm2KKdOFFSsDC6ShxcqEqrbMRkdOsytL0lHY0lmodRZr3YK23jrXZHPvNsXgDv30PvuOY/bl9a49Z9x7z+im9grtwzyjt9I2UtY6XCTzCNT9/JbeQqmrWOUt0/VWW0ek7lmpe6Z1eKdn+eTYwauzx27uv/bswuNvn7jz9uNv/+j+N/5p5+lz2i53XF62PwS+iPanUOkQkUIEyWQ8HQaoeDSMx5FhiIHDf8Hf/aJ79FuC0UT4M2frVz2J8RD9ha1ICoONI5KQODwlIBBFJGAIBAim4gAiYmNjIzQ0HIsFiAQyCEBEPAkEIIhABnAQHiT9miifHSl4PBWPp+LwNCxIxhHoWIiGItJ8QIhbWTe+sHzt3sMTl69PLO7yjk05eoZ1lk5Nu8Pg6Da7eo1Oj8nptfcMuAdG3UNj1q5em7e/s2+0s3/C7hludw1Y3UMdPWPOvnGTq8fc1efsH+3sG7V5B82uXr3VpbN0atrtSoNZom5tUuoaW3QNck2ttEXU3FIjU9cptGKlTqzUiZWaOoW6Vq7iVzfUyNSNqjaRRM0VNhSWi8vFLXVyY2FZc1JudUiyICCxBMNJ3QJHgMxYAi0Mh6fAREpkSASfV15W0cgOzyiqbq3TeQtqVXB4ap2+s9UzGV1QzU7mJ5VIQzIrQ7Nrogsb4wXyxDJlQqkisUyZVqXNrjNm1xtyJcaCZrNA66rvGJG4Jprdk4reecPIrvbpA57lUz17zrVN7q8yDxUoHFyFs1ztya1ty6tryxeb8uoMeQ1t2TWarDotX2YRahz17T1K15hlYlfvynrvyrpj7vDcqVdnT7966M671979+N43v3/j7X8YWtyTmMd/AQ0jXsQgsRQQYiJxBCKFTmWz/bDYT3HZdMB/I+/597neMBoibrrIm+WpQJACghSYRMcBEABCAJEAwgCK4LcV8wIAYQEAYNADNkkKxWKxRCIRBEECAQJBApEIAzjiZ6F70hcFkHFYmAQzqVSOLxLcigSyiwRD09teuf/o4s27+9ZPDc1ud/YPdw6MuPpHbN19WrPT2NHd5vC02tyttk6zy2v39Ns9/WaXt8M74B4Yd/WPWbsGTc5eq3vIPTBp6x7Q2VytNre1q9/s6jXYuzZxVOhMMo2xUaGta26plSjFUlVdc0t1o7y6UVnTrKprbqmWKGolylppS51UUSOVN6taa6UtwjppaU1TWXWzoFrCK28oENRW1qu5VbL0YnFcfnVEriitXJ4jlDGj0pmhcQxOGJXB8UGBUo2lpd1DDs2KyKqkRKZjWJHtfTP51Yq8alVUbiUniR+bXxuZVxtTWB9X3BTPkyTwm1PKFFkibb7YmFWrz65vy280C9TuWvOQ2DIqtow2u2ZaenZoB3aaJw53bjtpnjjc4JwrVHRlitu5TbasKk2B2Fggbs2qUmWKVBlCeXaNKr9eV6q0Vuk6RXpXvXVA3TOr698m755TDu41zqx377kyeezWniuPLz361qtf+/69d/65Z3p/VLoAgaL4EOh+MMUXJiApeB8CGgV9nkr/2xn0vzX/35xmEfFYIoAlEjcHos3ZIhqDp9PYWDRIo5JJkA+ARUSEEgE0ws93K5lER2xsbAREhPuBAJYEfzp3I0AYEtmfAKEgEgoiISHKr4mGItIAAh2mcHyRBAQCGZ2UNTS9cPHmq+du3Nt7/OzE0p7uiVnP5FznyGSry6u0ONRWd73aJNPblEaH0ujQmF1tzl5Ld3+7u9fg6DZ39XX0jFq7h/Q2T0ubU2/rsXjG9I6eFnOn2urWO7ytdo/e1q21uOWttia1qaHFWCfTVUvUtVJtvaJVLNfXNGuqmzQ1Ul2dVC+SaKol6hqptlaqrpIoqyVqYYNSKFZWNalFjdqKelWlWFsjbRVJNKUNyqIaBa9Rn14pD82vjC2uSRKIw7MKsytqw1OywpKzI7OKymUGQbMxQyhPK20slbYl8OqZiUWRebVJJdKQrOqYoqakMlUsTxZVJInmNieUtSQLNUlCVXypMr3amCW2FkicpZq+atNYpWG0Qj9cY5lpcCxKu3aq+1f1I0f1I0fl3n1V7dt4qsGsGnNahSZf3J5ba0wuVSaVKzKrNEXNljK1K6tWnyrSlqhcTc4pec92Zd+iZnCXvHdZ2be7xjrZaJ/p3n56/tDt/WefXnn944df//nr7//ryvEbhXUqXzoLQQL9mHgfKg4JkVBEGorIQBE/3ZfxWXYK5QvZUZ/ZDiJIwOOIGCwRj8Yz0XgOmsDAEkh4mEKCyBQAIvpvDadu3T9t3vj48c2TexOjo3180Ztzt3BfEMCQyEgihIZJ/hCEJlH8CBASIiEhih9M8YMpfhBtU0iIBhAZiBdQNEa4ydp1+tLNK7deO3Tq8vLh44Nzy32zC87hKYOnr807ZO4fVjs8dWqj1GBXWdxaW4/W7ml19ra5+w2dvRqbS211Gzp7Ld5hU9eA2tqlMDn1HX323skWs0tp6dTYPTqnV+/oaXP36zq89eq2Bk27WGWsk7fWSLVihaFR1daoMokVBpFEVyc31smNNdLW6mZtrUxfI9VWNanqlUaRRFPZqKlu1lc26PhV8hJRS2WDrkaqVVs7q1XG/Fp5bp0qvVqeWiVNEjYWNqmT+MIsYV1kDjc0vZCZkO3PimIlF0bli+DILDg6N7VcGZ5bF5pdE8eXRxVJwgslMXxFslCXXm1MqzGmiFqTKjVJlZrUqtbcBitf2SVqGxVbpyr0gyWqvnLDSGXbRKNrSdW3X9W/2tJ3UNF/UNGzX9q1kytzp5ar0yo0aRWajEptvthUUN9e1GwrlnXkNJgKJDahoa/OPimyjomsE3WOmQbXbF3HuKJrXtuzo9W73D11dO7Aje2rdw9ceOvUrW++/Ob3Hn3rJ8duvlYgrkcA/v5UIhKioIiMTf2KpM9g+gJJeBAmgEQ8HgCJGCwRQBHYSEIQkshAQSR/DJpBIcO+SKYvYpdH8R9vnv7Xe0c2fvwNd3sbAuGD2NjYYIUF++NxWBKMJcE+OCwGhrAw2QcAMSTyVhzoT4AwJIo/nvTpDB+AES8is/N4SztXb957ePzctV2Hji3sO9w7PdczOe8YGjW4e/SdXeaeQYPb02y01Klb61oMCoNdb/MYOrymzj5zV5/R6VG125RtNr3dbXB0q9o7lMYOrcXd5uxrc/e3mDulBovC5DB0eq3dQ0anR2VyKtts6vZOhdEq1ZqbNW1NqrZ6hU4s1zcoDU0t5ialtVHZ3qhsb1AYxbLWGolW1KiubtJUNaiEYlVlvbpSrC2vUZXXaIRiVT6/sqhcJBDLSiWq/Fp5Ar82ukiUUCJOLq1PKK6KyuFTIpN9yByAExWazo3Oq2AkFDKSigPTK6IL62P50ihuUzS3ObG0JbFck1Cmji9XJ1XqUkS61Gp9cpU2SahKqVTkN7VWtrrElv4KnatQ2s6V24SGXpFpoMY22uScknZvl3sXpd4FiXte0jlb2zbCl3SklqpSBMrsKn2mUJsp1BbVm0tkjqrWXp6is0juEHdMyTwLdY4ZsXO6oXNc1j1pHF7wblsd3nG0Z3Z1ZMfJleN3dqzfO/rSu8defufi/Q+/9vHPH73/cbuzH0mgIwl0HDnAD6TiyAH+ABlNoIEQ0xdF/H0kQTgCBAJ4AgZLBFBQgB8U7EOm+5NIGAKOTiLACERtXOiH69NfW+741qLjp5cO9Bh1L27xQ2xsbASFhaNAEEeAAYiMwuFxRBIAkdEgEYAovmgAhKl4Es0HhQNhKonORrzoX9+kXD954cKVW3NLe5b3HVnaf9g7NuMaGXePTJk8vSpbp87d7RgaN3p7G/WmSpmqrsWgMDn0Dq/e4dV1ePSObq3d3WKxK9qtGrtT53CprB0tZoeuo6vV2aPr8GhsLqXFoba7jF297d39WrtbYbLL22xSg6VBY6xv0TeoWhtajPUt+nqloaHFWCc3iuXt9QpzvdIkVrTVSHUiia6yUSWS6DZV1aivbNBVNrQK6/XCem1tkzazqDw0PjMyvTi9tCGtQhKZV0VPLMSHp4MhqUBgAoYVDQbGByUVJnNrU/n1QellARkV4bk1cSWyhFJFbIk8tkSeVKGNL1XFlaniylQxZar4cnV8pTpRpE0RadNEiqImvVBjF+odPIU5p1GX22jgKq08lUOgdVUa+2rto42uqUb3TL1zUmwbqzePCtWe3Nq29HJ1erk6uUSRzJNlCrWZVbr8RnNGjSGr3lRrm1D0LUm6F6TeHVLvgn50t2Vyv3lst3vmwNieU5MHL/StnNx28vbU2su7Lj5avfps/crzZ+/96N33fnRw9TKBEowlMbdgYH88BSCx0AQaCkcGoN9rk2CACAN4PAGDJeL9IOZWiLOFRPMlEbEEDBPCMl9E9Ajzn06bXrWXna6I/GTPULdMvAWBQGxsbISFxaFxMA5HAghUHADhCeRN4XAkEKQwGcFbt6DJJBYOCyMQfp2dvafPv7S0d23n6omVQ+uekVnn4PjA/HLX1Jylf0xp76zXm5UdLkv/mNbtrVYZSiUtddr2Fovb6B7Qd/aobG6VrVPT4dZ0uJUWu6ajU+fs1nS4tY6uVpdX5/TKLZ0Km1Np79R0dhs8fTpXr8Lqkrc7FGanzNTRqDfXqY31WlOTztKkMzdqzY1as0jeVtdia9A4GnUd9RpbjbJNJG+rkrVWyYy1LeY6laVGYalRWOrVjnq1o0ZhrZNaSqpUaYXiiPQydjwXjswjRRbS4kvoCQJmUhk9oYSTUpHMk+VXteZUqNME8oi82tACcXSxJLFclSzUxJer48vVyZWGlCpjSo0prc6cXGtMrNLHVWrjq3SJIm1mnZ4rM5epXaWqzmKZrVBq4co7ipVOvsrF13aVG/uqbaP1nVNi92xtx2RV+0iNaaRS15vfYEkpUyWWyON50nhuc3KpMoEvSypvieZJkyo1wrYhqXehoWt7fddyuW2lzLKz3r1X3rdPO7LPueN43+ol995TnrVLHXtO96xemlq/vW3t1sHjr924+c1nT757694zemA4EqRgIRqewsJCNB8UiCNSf6fH/SuS8AAaIvpA9Bdhxosksi8MYgBfNtEv3BfRU5xwXl20N4e4Guf/j4Oq4/1WKvpFxMbGRlhoNA5LxKDxIADjsAQAR8Rh8EQ8CQ9AEEDE+GHpMJWAASEcwahpvXr5paWd+yZmtw9NzQ5OzvSOT/ZNTvdOTDkGh1os1iaDoclgaPN4nEPDapu9QtJcIm5s0BiV7R0Gh1vb0ak2W1ssVn1Hh97pNDg7TB63vbfX0tNj8XhM3d1Gp0tts8tNphabVdfpNHS5NQ6H0mxRmi0ae4fSbJG0Guo1+iZNq1Tf1qwzNqr1DarW6mZNXYtBorc2t1obte11Lfoahb5GoRXJtPXqtnp1W7VcL5LpahVt1TJDWb0mX9CUza1Py6uOz6oIT+EFJnCDU/hR2VXRubVpAnlGmTKvUlvRbC9rMueWKlKLGxKLxQm8+mRBU3qFIkOoTC1XppYr06rUiWXK1EpVVq0+u96QWadPFbUkVsjiy5rz67Sl0vZyma24yVTUYORKTLxma1GzRdDiLFE5y3VdNZaBJudks2u63j5W0z5Ybxmqb+8rkVoyyqWpgqa0koa0koZ0QWMyX5xYIo4qrE6qaK7Qu6VdE03uyfrOmTrHLq56usI4L+3aqehZNkwfcOw+2b5yrHl6t275iGFp3XPw8vKZB3N7rw6PHF7Ytn7tldcvvHSDxgnzAwgAiYHwxcC0APTv6XIB4kkQAEMAEcTDKALsS6RugalbIcifiCUAvmwMIs4XMVYWt4vHGWMhjif6vGctfX17d8AWBGJjYyOQw8Zh0QDaH8QgN4X13wpjUWQAA6F9IZQ/hPQhY/wNcsnlE0fH+7rHR/r37F6enhn3eF3TsxPjM2PtdpPaqC6rLqtpqlEZVJ09nV29brlaVlzKLeQXyNUKdavG0KbTm3TGdp3R0mqxG8wOY7tVa3eburw2p8did5rabHpju0ZnUrVatSaHwdZltndb2h0mg1nfZjVYnWa9SdeiU8pUUqVKptIoWtRyuVImUTTXNzc0K6UtWo1Kr1ZqW6QtzRJFs0TR1KyUKjRKuVohbmoU1dWK6sQVomquoDynoDQrryQnX1DALSsureKXV3PLRNyyGm6FuKpJJZJoysWK0mppbnFlUlphQnp+RqEgs6g0u7g8h1+Vw6/K4FVm8CqzSkSphcJ0XmVueR23WiKoV/Ab5Ny65kJRg0iiEcuMNdLWsjpliUjBr1Hya5SFVdLSBo2gUSuUGcX6DoWtT9053OIYVNh6lLYuebujoqklk1+RWVyWwyvLLCpJL+BlFPJT8rnxuQUZJWVChVpq6ZDZXRKzq6nVI2yyVTV31KndjcZeff9i2/T+mp5ZYf822fbD9RN7avq2d+88tevkranta23tXoOp48zFKwePHEds9SOQ6TCN5YPCbRY5+u2VSSyBhAdhEE/C4SkoPNWfSPYnwv4EIg7E0vF+NASikuP3So9kLouwLQKxEox4rk+/6WmM3BzdciLAJLZvSoBPEmtLMntrKuvFRAoinf1CPIxIISNKInFxIMJYHnfn4OD6uOHImHF9yjLvbNzulu0d1s27paMWUZ9RaJflaaqS2hszu7WCUVvNkLna2pSlKovTVyV3q/jdKr5XI+jVCwaM5cPtwhFz5ahFOOsSL/Q0rgzKlvqb57saJjuqJ+yiyY7qYatw1CEa76wZdYiGLJUD7RWDZuGITdRnLO/W8rtUXK+W3x1+u0MAACAASURBVKsX9GhLPeoSj7rEqeS61XyvvqyntdSjK+nS8NzqYreG61YXb/7oUBRZm/OszQXmpjx9bbamJs/QwLVIeFYJ11SfZ6jNNtXnWZqLXFqh1yTuMopNsjJlVbaYG1+XHyPhJSjK0pXlGSphlkqYoxTmKCpylcI8ZVW+pqZYXVOkqeXqG0pM0gqLUtiuFJoVFY6WGkdLrV1R3d4sbGsqN0rKjZJyXVNpa3O5vrncKK+06MSd7VK3TdFlVbgsUpepsaO1TtvIk5SnScvTlZUZsvJUWXlyizBVIkhoKI2XitL0smJLa6XFUN2urbTrRGZFhUPT4GxT6VQtzUpdfatDaPSK+xeap/an6z2hohZ579T84VPL+44sr+w9c+Hyzbv3vvb1b25b2ol4YStEZaBB6PO6NL8nWkJB45koIgNJhFFEAgASIADDQCGCtiJW9Pz7I83zOfjVPNyeOMQbuphrbbkNEAKxsbFxY4x/Y4x/Z0rwyij39jj37iTvxlD+vfGip3NlDya594Zzn83wP1gWPZ8pfjSW9972svfmyt+fr3hzqvTJWNGzKcFbs6VPJ/ivDeY+Gec9ny55c6bs7bmyt+cqnowVPRouemu67I1x/tNx7tNx7rPJ4jen+W/N8N6e5b8zz3s2VfDmTNFbs9y3ZrlvTBQ+Hs17PJr3ZKLgrW0lb28XvL1d8OY8//kM/83ZkjdnS96aEzyfLnk6Ufx0nPt8iv/mdMnzScHzScGzKf7TKd7TqeI3pnnPZoufzRa/McN9Y4b7dLrgyVThk6nCp9NFT6eKn07xNvV4quS1ydK7o7y7w/kPRguez/He3V7y1lzxk6nCZ9tLH82VPJwrfW1acHu48O5w/sMJ3htTZY9GSp6MlD0ZK38yVvF4tPzxWOWT8aqnE6In49UPxysfjAkfjAlfHxM+nBQ+nBQ+mhI+nhQ+nCh9NFn2eOr/Y+W9o6Qo17XvOWefvU0gkmFSp6rqNAmGLEEFCSJJMgqiggkBFZA4obsrV/cEopglqygmEANIHHIcJneq0NVhZhgmd77fPxrYvO5z9vt97/etda1ZHabC6vr1dd/P81zVz1+xPn+Rfe4SN/lS0ZTztsnniiafK5pUVvLc+c3Pn98y5fzm58uKn7+0deaVLbPOcVNOkRPO089dZCZdoCde5iZd4547Tz17jn72PDfxXNHk86VTL2yeVlYy/iQ79BiZe5wZ+xs384sNs9e/PHXxnNlzF761dGPJ7DVWw9QlukkLFq8zk1t3fPXNgbraijt37kQBgtFYY3PL1BdmJv3Hf/ZJSe/Svdd/u4L7aK8+j/Tq80iv5Ed6qB7toXisV88nenTr9UT3lK5dkv8zaYKm66nSt75Z9uSWZ3p/Ma77T9O73lhhPPKSdvPobkkAcHYjcslkuElnXzZh18xYJWW4XqCpwrGbBaorG1KrzKhUPNC/OddTlC1xmb7iATyd5WEGeogswaKXyWyZG+giDdUFGrsJEQhMxA0eKjtgHSzRA9xmgwvXS1y2xGV72Ewfl+FjDV5G72MNAWtGwJYpW40eW4bHluGxZiXkLcoRrZmiNVPgMnjWKHGZsi3bW5wlF2WKtJEn9SKp91CZMpUp4ZkSnilTmRKTITJ6gdYJtE5k9AKrF1idwOpETs8zWjet5RkdTxtcpM5N6NyMwcVmuqxZApchWY3eIoO/JMNXbPTY9N7SrFoSqSV0dsZYg2vtlMHNZNSatG6zUbBki3iOYMkWLANEfKBIDRKpQU7TADc+QKCGCNQgNzHQSQxwkzk8lS2yOW7K6KaMEpctslkOUusg9S7O6OayXNYMlzXDYbsrZ1Gmsyi7jh3gtg5xsgMdVI6bznZYjHazQaBz3FSm3aJ3khlOJquOyqxlshzWAXWcwVWsFLaiNTbjdWbo9ZKZJ21Lt703943Zk/PM5JRFK0a+8NZT85dPenn5OhN55ujB+sqznhvnXdcvNMk8xCOXrlzu1a//o916dOvVN3Ez3WM9+j3a897Pp/bs81jP3o/26PVoz34P9VQ91FP1WO++3Xr26NftCVWXR9T/kfT+s7oj+VN+WDn4w0ndd47++9HZ3W+tNB6e3f/3l7AkADifp76Ga29asPJCZY1FWWdOrylMrTOnO3BlTUG6yBmadgzxF2c7cY1EaX0l2XYm083lyBbMZ0IamAwfl2EnNdXmFBfeXzT39ROaRjbTww6wW/R2XONmUbsNc9oQ0aqROXWAUTawigZGFWA1PisqFendRQZnkTHxmbpt2W5bNl+UxRdl8Taj26p3cTqXFROsqGBFRSsqsoiHwWQa81G6AGUIUIZ62iDTmIdBPAwis6jMohJ3VyKLCQwqMBqB0fA0wtOISCE8reZZDc9qRCvqsWKyTXtPeieJOEnUQSAOHHPgmAPXOQm9mzDwpP5/kDHxV6AMAmXgaYNAGQRax1PYg3LTCM9oeQYVWJ3AYgKLCVbtA9ILXAZPG5yE1m5B7RbUacFcuPafInUuUuciDU4qIZ2bxpwkYieQWjyzihh5jRhXxkw8Wvxi3ntzx04cN3HGq6OmvLHgvZICYkvZrs3SN0UtRz5rP/GddOLnZmcVxCPvvPveP7p06dKjR5eu3R/v3q9Hsjbpod5dkrVd+igeeuzR3n269+rZ7YnuPR/tq/yvPuq/9Vb9x6PdlX37pf1n0lzjE84Dm354b9C+hf32z3ri4JRHLi5K41fnxnbMPTo7OQkAzm/Crlv05WasskBptyicpmRnfj+nKbl2Uz8vhzVuzZGsBieh8hYZbm/OdNNILat3soaABbljQRpJPW/RVBMKO6fkqd4eonc9rb5tNXrYAXZC5yBUvFVttyFOGyJa1V4uvZ5LaWBT6rmUemu6XKQWS1FXidZRorPbdC5OJ1qNclGGtzQhg3ezTi7VyqWYpwT1lKA8qxQ5lZdD/JzWz+kDjCFA6f0U5mc0XladkMxqvBzisSIeK3KPJ7XIqj2MWqJVCXlsGrlI7S1GfSWYtwiTbajHikkc6iIQF4E4ccSJI04L5rRgLlzvJnQ8pf0LHH+RQGv/KQZN4MvT6oQERiOyyF90H3ePFZNYvUBr3SR6Xy4CvXsaOOLEEReBPsiW24LxOCoQmIAbXPjgOnJIjW3olW3PWddMGj924MTn5kya+/78Vds3mrf+ubmgpvjt1t1m+PUzuPSLfOZovCkQ7mg3GAxdHu/ap0+/Ll17PNZT+VBPzX/1UDzcI6VHr+7dH38kpU/Phx9+9B+90v7eD0vqoeyVolE88ZgqKekYvbjth03fLlF+t6j3F8/9x+8Lev85s4d//dB22/jTi1MTJOVct+SWW7IqCjG7CXGaFfb8ZGdhqpNQiFY0sDXbuzVLKtX7t+p9m1E7lVqJK2sKUwOFqe0U2szoeIumEldVM2onnSJSyQFa02jN9LDZTkLrJNJEVi2wOoHVy6zWy6oDnMJnS/EVp8jFKeLmNGFLmrBZxRerRE7hYxRNDNJiQ/10mpdLTUi2popcmsCm8kyawKkETi1xqMeqk61GD2eUGYPM6H0c4uM0Xg75ixI8eTlEZjUPyleC+Uowf6nWX6r1FmEeK5K48H8h6e5l+78l6b7u0/Pg0/sYJUgSGd39PfAU5iYxJ444LJr7SpCdkN2s5nFEpBCBwFyWHBc5yFmcW/7hxC+JmdOfGzRuwtR5rxcuXLd9TX7xgYJlZwrmiaXLGj5Zf+fQlsilX+ovnYCOOzfKzvTq1qVH925dH3/i0Z79Hu+n+s9ufR/u3qd3n35duzz66MOP9OyT8lBP1UO9kIe6JXfv2kXzj6SVY1JCR8z8ltmX1g49vCjl6MtpP87sfnpRsq9wqNeSdXNlehIAlG3KvWYZWm4ecKvQUGfGHIXKuoLUOnN6HaGupVH35hx+W25tsb6mGHNt1vGb9XUMWmtKC+T3b8OVt0mUx5FKEr1FquvodDed7mVQP2cUKIMTR9xEqsQoRUYnMnovo/cyqI9T+W1KuThdLk2TtqQLW9KE0lSpOKXeltrEpbaxqW1sarMt7XZRWmNxWkNRWqBI4S9W+WxquQgRrRrRqhFYjGdQntEmOiGPVeflEJlT/wUXmdXcJ+mvMBUh3mI0IY8VERiVi1Q6cKUT1zhxjYtAEx7gJnRuQucmsf+PJN2n5y8kJTB6kKTErhIkuQj0QZIcZtRhRp0WzIkjTlzjpjQioeItGpfJ4MQznJzx+uYnf9mxaOmC0c+MnbB4Jflq3kdL3yvg3pz9Z/68Knyet2Rp8y5T5+GPW09823ThOARbtxDmnt26PNK1S7f+yQ/16PVo7/6P9ezT7YleT3Tr1a9/2t8f6dG1D/q3R5P79E5Jf+y/dElJt7YvlbfPr8kbKRITajaO/mFW36MLks+/rW7a/IyXG3Lh3fQkADibN+CaZWi5OedWoa7OjNWZVFUFaZVmpZ3Ldm4b7vzwqWtFg05b9JfYrFubB920ZtZyWXUWdb0prcmcJual2AsU1bT+Fo3V0mo3o5ZZrZfR86TeiWtEMl1mFB5GLbKYl0F9LBZgEb8V9Reh3mLUvwXzlKqkojRfccrtktTWkpQ2rs8dpmeDNcVvS5etqR4uTeRUAqcWrajIaXkO4zlM5LQip71fHSROI3EamdV4GPWDkmjVv7KVkMTdhcxjRUQW4Wm1k1DZLYoHSXKTmJvE/u9I4mnkfmm7X+D+4k8PepKHM4iMzk3eLa9u8u7R/3tPwhEXhboplduS6i5MdZu0ImF0McgVNvvEznnr35owduzYxSvxVzbtmL5o2dvTRv9e8OLlDc/VFy8KFC1t/Xxj29fFrUf3QcVlCEhjx4xMevjvj/Tu+V89n3i8X/8u3XsnVjW6dO/brY/ykW5pTzyRqujeXf23JHKKEg6vdZme9JqGt1mnVbw7bO/4Lr8tSnOQw+t3TrjFDNu7sHcSAJzNz7iGDyi3GG4VILVmVY1JWZGvuGHGLpgyThbmnGGfuv7JzLqvXuUPvV67b+Glzc+eswy8tF4jFqqbGUwqVNbmpVcS+nJKW8egPKvxcjove7fxlBmVz6oQOZXIqWRW4+OQek7bYNU12vT1Nr2/xOApQkWrWipS+UrU9aUqvy1dZtO8JZhUqhdLDEKRkbcZeVumYMsRirJctJ5n9bLV6CvW1xdhfqvay6V7mFSJ0yQ6oQebIZFSPgjWv3qVx4pInCZBkotUOwnVfZLu0aPlSf3/EaN/Q5KbUj1I0r82SXd54gwio3MRiMOiduIaF4EkSHqwVbpPkotAnSTiIpUuc7KroL9kwvxUhsBobtD6k5uf41ZPnj5tysvv4nNWF42euvDFZ4d9t35+2ZqJzvznqz+Y0L71rZbt74UOlsCFoxFH+ZZia4/09KTHuz6a3P/Rnj0e6tKtR+/0x7r2f/Txvo883qtHj9SUHr37/kfS2slZcPVDBzNW2DTQvyG3IX/skSm9fnyh38X3Mhs/nlTFDrxqGvD964okACgr0FwlsHKLurwgtcaUVl2YfiNffdmceZYYdWHLbM9vBMi/QOgKhK5B+yXwHHZ9s/ICNepWvr7emiXTutpCZaVFW25BHJRaolU+DvEyqJvW8oxWZlF/kUawKgRrmmRV+jhNA4veZnVNnP621RiwZshWo9tqqLUaqmxZFcU5laVDqrcMu0ZnXaNzrjMDyplBN+ncm+TAW5YBt8wZTiZbYDJlRu9nNA2sopHpf5vpG2D6yZxatCaa67tF5G5n/QBGCetKeIDPqvVymMyiHgYRKUQgNQKp4Qm1y6x2WzQ8jggEKpLaB4T9e0mU9p+iUYlGRUp9XxKtkWjN/aFlQonB5t0hJ6OXKK1AoDyO3BPK46jLrHGZNW4L4rYgbguWkNOC1VnULlLN46l8QbKnEPGTeg+tukUiZ0vG7dgwdcnilxcux59ZvCF3/OyXp0/6ePnsX5c9e+ntUWLelLr3no5vWwqHiMZvN7eXnzv+x7E5b6xM6pXySIrioe49Hnm8e9deqV2eSOnSrU///il9uj/e9x9J2z9YCFUHG/cvu7w68/rbascKfdm8lN9n9D35sjL05Vy+dFi5GTv3Vvdb7yJJAHAuX3GNUFdYFBUF/WpNKVWFiqv5aJlp0C8Fz/iOF0HwFkR4aHFAuwSRAHS6IXzDcfD9svyBdUSWm9DVFiqrLVgtibks6TKp8DEKD61yUaiL1oqcVrahD5JUz6ENVl2j1VhflC1x2a6i3JriEVe5kaeZMSe4Cae3zD63c+HNPa/f2vdmzVfL7F8vd3y10r7vbfuXS+s+e7m8eOpN67hy6smb+IAqi95BakVOLxcZJKtOsuoSJe/ul/4Bkv73ivZPkjwMlsCIJ9QJ/f9IUoKe+0oQ4+WwBMH3Sbr7Lq2TqH8eRSD+idEDQu+TVFOodlGoTCrFgjRPHiKbUAlPr7AoLxeP+WTD8yveXjbnDVPm5DcMY154fdFLzKszPp0z7PDcAdffGln1zrDAxrEtpYv8uwvarh07/sfJL3461UWTm9RL8WjPft179/t7lx49+6X37N6rT9eH+z6U9CWzHNy/wKVtdVtnHV7U/+yrijMvJp+a0+/n57u6C4bBd4tcJbm1lP7Uoocd7+mSAODcJsUNAq0wpdeY0moKU8s3KS7lGY+sGXDho9eh8xa0uSHWBpEgxAEiAKE2CHqg+cKlrbNukIN568CaQrWdwFwEKppTAnRaA5vmIVPrLIo6CnUzOp7Remwa2ZruL0J9VlTiUH9ppnfLgGom4waVdZ4afNb67PXPl0i/24JVP4P/BrQ4IOYB8EDcAzEPRL0Q8UBYhJAbmm6C51To5lfyH9aK/avObX/xGPf8CfzJSibbxWCCVc8zqK9Y7yKVgSKtRKt8nMbHaXxW1Ge9N0pKVBMGk2j03jVD3BZNQv8eF4FA7+svGHlo3T9poJB/JekvVP3FmRIbPrj/BEn33Ajh8bsYucyow4w6SH2tSeMqSPGYVAGzUTbpRVN6rUV9nRv1VeELb772xugZK9OGzX5y+tJZL8zNXzirYHTG1lGqn17QnV9svLpYVfHeYGnnyobThw7s/e6rY5VTXy9M+nty116p3Xv3eaRH9569ez2alDRM3evwR5vA+1vnxdKW3zd2/rT6WsEzeyY9cej57qdeTv9zYR/4ckb9lhF3vnj64tqU3xZ0LV+enQQA5zai5RZDRaGmtlBZm6e8sV55fmPm96sGNZ7YDmFXrNUPAO1h6IxDCCASh87OJojx3qOFZ82DKomMOjPiJLQ8jnjNybfp1Ntsikwk24l0O4252EyB1bkt/euL1d4iTLQZxM1DaoqHnCcHniAG3/psVuDYJhC+hdANiIgQvg2RMMRi0XgoBMEwhMIQisYjsXgIoiGIBiHcDKFGCHshKkHYAYGLvusH+V8J/tPnnKxOtBrdrFYuMogs4rdh90m6NyNwn6S75nGfpPsw/RvL+QtMia3+35L0YHVLKOFSD57JvfNB/luS3BbMYdbacUOtCXXlp3lMGp85Uy40CiZlrQW5ZR1xqPCFuS/MG/rc2xkTloye+eaECdOWvTB11dAM88CUHWNSvprY+7epXa+/rRO3Lak/tncLt/3n0+7CbT/31Izs1qN/r57d+qX0evgfScM1vf/8nATpl/iN7R1nCtp+Xx04sOz27neu503aNbHnj7N7eKknI59P9JcM9G8fdm5VypEF3a+sGJQEAOfWZ5ebBlflZ9Tm62s3INfXIGc+yPpm+cDg1X0QEcMd9RGAO3G4HYN2gCBAMBaCuK/lwrY/C3Nr6EwnidYWqAUcCVhS71DJTUyyTPZzkGlOVsdbsyVW76X6epm+PKuxF+des4351Tzm3Eev3Ln2CTSdhnAFxHiIBSDSDJ3t8c44RAFiYYh3QjwE8RDEwxAPQzwKsSjEIxAPQ7wD4q0Qb4JYI0QD0HG95ftXa2lUKMpws4l6qvVyiMQo75JkTcxVYhKHCiwmsgk+tAKBCQSW6EjuVbQHAKKQ+3qQvAfh+2tdS/zb/4mkf7ZH/5Ykp0n9YJ/E49p71U1nx421Jq27QOkxaXzmHE9hltukqcO1NdYR3+ZNGf3kuKxnlo6cvWr8vBVPPzt98fNT3h0+8K20rusNXXaO7fXjtMdPvZxShU9tPLqzxER/+U3ZiWu3c0fP6vLwI327/u0fSUmLZ43mTx6AW4fC54oaf1nZ+tty38HX+C+XhH4qbDmwvoaeKVonhD+f6i/KdRO6WsJ4+OUup95QVuU9nQQAZeuG3DSPqs4faM/LrFuHXntffep949dvZbde+ByiPESaQgDtAG0AnQAhgFCkA2LyndPWUwU51YSepzC7CeHNSABXNtGKRibZQ/Vx0elum9ZjzZI4baBI4SD6OotzLjLDfyh4xnGUg44qaHcCNAA0x0K3I8Hmu9UzDrFIHOIRiAchHgQIQzwCEIM4AEAsFovH4wAQj0Ui4Y5opAMgDFFX+y8rbplUQlGGk9XyDCrbtB5G/b+RZNUkWiiBxQT6LwyhAvHfWdEDJP1rjUtc73/F6H/qk+6TlOiN7nfiCZgebLfvFVzkfod0n6QETE6Lrs5iSJAkm1CveaBgynGbdXZCZy96cv+acQOyhmeNe+vp+WvGz3tn/JS5r0ydvuHZUa+kdnlL8yg5rPuXY//x88xuN9aNbj1ccnDrZpv1s5PnXBs2cV2TklIfSlr7xlRoug63frh9lGn8fmXzodfk3bPq9y9q/2ntnW/Xw3EbVHwCZwu8RSPdRMat9crTb/fZNy3p2tpsOzUhCQDObBh+wzymMn+QPS/Tvh65uUpVtkr73dvG6oN5EK4DaGzrvB2EcAgiHZG2WKwVwk0Qssvfv3/JlHFzU3+eUPKk0W3WeUldgNb42VSR6udm0yQb5rPqJRqto9P5HYNOmLOPW6eFqn6AiAzhVohDW3u4IxSPQIKTyAMK37OixNNYHCAOEAWIAoRidx9EExt2uBt/WHatIF0oyeRtBp5BJQ69V9pUPk7l4zQyp0504jyD8hTG46hg0SYk4piIYxKh9ZA6icQkEpNI5C8ScEQk0MS7HkrrobQPPv4XoR4K9VCaf5VMIx5KI5HqhBKveBlUpnUeSisSaOIoIoEKFpQ3I26ThjcjCQkWLW/GeDPmNuvqLPpaE8oXKjxmVLYM5M0DHbihljLai4Z/vmz44NzRT85cM2bWyjHTF0+YOu/FyZNt8ycv0/d8DX18GfZ3MiPpwMTHrr8/OPIjde2bT/F1Gy6cuXRw127ssaQv818F7/m6wyXOrzc2/bAu9NOK5r3z5Q+n1H82p+Wb5e3fr4VzxVC+FQ4uubXRWFdgKHu77/7pf/t27uPe0olOZmISAJzcNPQq/mRFYU5dgc65UVmxJv3yGvSn5br9a8eH7L9B3AfQCtARibVEgw0Qa4SIL3Lr23P4qGpCL5AKwZxqN+lcRLZEZsmM3sMq3HQyz6XLRUiA1rgtSAU38Ehe1rXPXgPhKEQliLZHohACCAKEACIA0XgsHOkIR9pj8SBABOJRiMXj8Wg8Ho1BNAbRCEQjEI0ChCAWjMeD0Vg4DrE4xAEg6hP3v1JuQYTibKkky1OcIbKIzGoCNtTLKr2s0suqZU7tYRCB0bhpxE2ifyFJIrT/D0nyUFqZ1iX0ID3/O1j/I0leBpVpJMHTfYx8LJbY272jYxKJiTiWgIk3I4IlARbGmzG3CXWZ0VoLVmvSCOZ02YJKloFOyyAHYayhM+zFQz99e/Azzzz37MKCEdPfGDJ+5oixz80cN2bXinlvah97Uf34ewP6cEMf+2LMwydeUgb3rmo9++0uNv/I/i9cl4/X/rQdyr91f89KP+BQVtJ+6L3AR7Prtz3fuG1KYPvUxs8XdhxaCb+vbz2wpJYcdfMD/R8v9/hxzmN7pjx8ZmVGeM+LtwpGJgHAiYLsq3RuuVlbZ1K58pJr1vW9uUHz2/u6Ha9mlO3Jv+Msg0gDxNsg3AydAWjlozXHrn741slVKjeuaLSqRHNKVR7qoAa5yIE8m+lmNU4mVbAqfDZ1PZleW4D9mje64mAheM9CVILOhs7O9sh9hiAWhSBAECAMEAGAOEA4BqE4hOIQAghBLASREITCEGruaIpCMJ7wrXgMohGIxCAs2b9YUMsa3bZMsTjTtznbTam8HOLjNH5W6WeVXlbtYVUSreFptYvSuEmUx7WCRX+PJJ2I6/5nktQS+U+MvHfXfPSJa/+vBHgorUxj/8aT/lX3PSnhRon9JDBKMHSfJLcJdRUiThNSa0FqzUq3JdWDa0R8oAMfVEcaa1ljXdGgXSuHTXhuxpgF64ZNe2XQs1Oyhz/54pRx33ww903sby8i3daOQHc8q9zzTPfvxj1cuXEcVP505+rhhvJj0FELV/c593zgPVjYcZQK/bLR+9mChm0vtG6dfqd4cuiTubGvlzTtWtC8/yX5wyne4mfL1xi/nvRfXz3/yLE3DA0fzmv9ZO7hxYokADhdkHGNzim3IHaLwlXQv2Zj38o81ak16NfLM0pfG7APX1R97PMIXwYNN4A/Ix//6Dg9/4+1Q6TiwXX5fWrXP87jaW46q47MdRIDeDpLYDQClS5yKo8VcZPopYLcMx+931xXBuEGiLRCsBUgFgFoh3g7RIMQjkMQoAPi7RDrhFgI4mGIdUK8HeKtEG+B+B2IN0C8AeL1AI0AjRBrhMgdiLRApANCndBur/l0trM4x8EaBKu+fnOWG0/zshqJUiSiATKLiixyfz0rYUiSWSuZ75OESYRWJLVSYiz2L56UGJ3JjN7LGrys4T5JPkrvJXUycRcmkcQkGvUwmJfSeEn0fufkoVAvpfJSSplUyKTSQ92bDqA0PkrppVQSpRVJrUigHlwj4yoZV3ksatGsEQjMTejchMGF691mncuM8oVqZ4GqzqK+TxJP5DjwnFrKWMdm1VgH7Vs1csLEKYMmvz1iyqInJ87IGTJk+cKpu1c8v25ow6X7fgAAIABJREFU96WZvV5Bu1oG9fx2OrJ/XNevpvbfu2TErT2Ft8t2n/t0Lb9vQ+sPptvfmODUlviRjZ7ts3h2Qsv2maFP5rZ+OOP2RzPu7Jp7Z898/6cvtO1bdHZNzvcLU3a/0LOCmAh/FjZun7lnWrckALi4yXCtwFBl1lUVpFdv6u/A0+245tIGxYl12I/vYrveQD95Xbd7Ze6360d9v2Hkj6uyzq/PqC7U2nG1nUh3kGlVeHqlCbFTGfW2we48ZSOhbsBVAavBzmX/thb7hZ0Gd+oiHS0Q6oBQB3S2QrAtGo+0A7QANEAsCFGAMISaINIEkQbodINU5ru478YP3Lm9BSc/++D4zpVlX669eYjiT34crPsdWqsh7IFwAGLNEG2Hjqqr2yfZSzOcVp3IIn5GU89qAozaR6s9DCKwOhend7IGN5XpJjIEs1EqNMgmvacQEwtRwaThzYhEaGXGIFuNHlon0P+cHRAIVCRQkcQEWitxWo9VJ9v0Eqf10DoPpfWSOh9h8OJ6L66XCa1IYjyDulmNwKn9FOIndSKd6aazeDpDorR+UllPJvssfSVLP4FUCSzG04hoSQvg/W4zKslqdFIG3qLyEYpGKqXB0s9v7u+xpPOU1kFn1tDZdVS2k8xw4VrJrBLM6YkVFQ+u8eCoCzc6iIw6Ul9DZ9Rah+9fPWbSs+MHjl04dOz8ISMnDhuUy656bc/Kae8Y/748qyv+jPrjGVmHXx9VRcypoOa2fVvQ9jPd9gvXftQKJ7bD+c/g5Gfh75mOPe9LJbPErTPknTNu75rVvGeO/6NpLXteatq7pP7rt+27Xms9lnd957wj64dFjqyCox9cXT9s97SeSQBwZUPGjYLMKpOhqlBVXZDiplQuSlORn1ZeiJzboD6+SvnHKuTEen1ZQfYFU/bVfG1dvkK0KJzmtKrC/hXm1HJTeqVFw7NGD2looA23zUq/SenCjVeJId9uGhG4uS8UagxGAUIRCIUh1AHhzng82gFQH4+2AUQhAuEmCPug4abz2Ce/bVt2YMP4Xe8O/nxZ9p4VOXtXZH35hu7zJbov3szc+rL+o7dHHDTPu/IV0VHzO4R4iHig4ey1bWMdxQaewzwMEqA1DQwSoDUyjfAM6mR1DtbgZDLcVKaAZ3hMRk+hTrboZELrJXUypZcpvURoeRxxmdUus5rHEYHWejiDbDUmlsMSa/sJkjxWncRpJRpNtEReUucldTKBSSQm0NoESTyrSXgSTxucTIabMfA04iNTAmTfAJ3iYxQip+dtmQJnEAmNz9TPa07mSb2T0As44iOUjXhKvblvwJLqIzVOC1ZHZlSTORWWzMp8tC5fJZlVARp1mdVOHJEsiGRBE6O2WhKrpoz2kpH7V4+Z/OyzQ8YtyhkxU2cckWvUfZj39t6Vk4mn+uyYpv168fCf3nzqYt7M2Pc43PgSTpbAqSL4g4PDePRHIvwD3foV3vj5Ov+2193cLPnDOYFd85r2zb2zZ07goxnt+16r3/tW5AQNN3c2X7KBtBcqt8Z//aB9z6s/L0j5cvITSQBweUPWjcLsSrOhqlBlt6QlFhkcuLLWgtzMU1/egFzdpLuer7uWj5YXoLUWRMCVfkYj04iLVDsITY1ZU1WocRJaD61rshnkwlSZwK4XZP6+aeiVve9D3BGH1jBEIBKCcATCEYjGAKATIAgQhyCE/NBaF6r44c+tb3z27sifTM/8sjH3j/XG4xszzxQMOG/KPZufc3J95rF1mcc3Dvrh/ezPl+i2vqz/fOXo0x8ua7uyC5p/qSoZJlhRkcU8DOZltAHG4GX0Eqt3MZiDwRwM5mIwgUAlC+IzIR6Txm5W1eKqOovKYVG7LRqRQGUC8xFaP62VaUyiUZ5Wuxi1nVHVsQo7o5BolZ9BfSzmYzGZTkwQJNZlVQKrFBiVwKgEJlHOdBKllTiNwKl4q5q3qgUuEb1K8TEpIq3gGdTBZtQyWQ4mm6czZAsqFSplXC/jeh+hq6f09Tgqm9WSCZHMWgHPEKkciR0k0Dm8JYMvwIQCtViodppULrNaMmlEM+Iyo3VmrIZAKwl9XfGTB9Y89dyzz2SNnmsYMtWYNWrU4IG7yHf3vjF69xz1V/N1X0xVnHhnVNtnK+Enc/tnbwW2LPRuflGwzaqlp9+yTL1pnnHLMqeSmOMqfslum+X7aEHjZ/Prd073bpnsK53a/OWrrT+sjZ4vBvsuEPdB6xE4Q4YPvOMoGPPrvF5fP98lCQDOb8i+bhpYYdJXFap4QpkIH0qU0k2i1QWaynzUjhvtuKGmELEXKAVSU7Wxn8OU6ixMdxQonCa13YTUmTE3rW0szfLQKntBPzeX9eeG7F/p6eArg3ggDm0RCEE0BOF4os2OxyAajwB0QMgLd8p9x7d/88FTXy3POkWPPmMZcIPKqiANFbiu3IyVm7EKXF9u1l4vwK4UGC4WZJ3NG3B8w4CfV2X/uGbQn8T4im1TXNYsD6P2MIiH1slMhsRkiGyGyBlcDOZiEDej5GmlRCllXOEzKz0mhYfBBFbHU4nJIUwiEu6iFQn0bmNEayQOlWyIVIx6ihCZUQUYdYDWBGjUS6ISiYiU2s0o3Vy605rqsil4q0pkEQ+p8+EZXsLA02oXq3AzCjebJtDJIpUsUskCle6mEZ41OpjsGiLTjmcKZLaPzPQRBp9F67NofYTBRxo9VKZIZDrNRnuhvq5Qa8/HHAUob8a8pM5H6CSTxp2nuE+SZEqQhFTj6kpSW1s04tsNz04c+5Qm9zn94Ckjnpo6/ulRH25a8semqR9NfHzPtP43N46HAx90frqMJ16ozpt4ceWwsmUDzywbcHbloLKVw8+vGnV144QqYqazaL6zeK64ba60babbNsnJjPdtmdl5YCUcp0NnSqIVn4H/e6j4pHr7S1X543+fm/LTlMd+nNUrCQDKNmRfMw+8adJVFihFSulnlTKV5qPVIonVmtDaQh1PZYt0psuscRekC7jaRWt51ui2II5N6a48tSMfsZswkdEHSvUOIqWOUF4nM7/9YLDjtxKINgTbb4ehJQLtABGIwX2SIB6GoBc6a+oOmb9aPuB0fq69ZMQNCqvmNHV4ikClC6ySZxQ8rUwk0WpMaQ4CuZmnvLpRcZeqfMPFgoxyi8HDIH5a4WdQmTGIbA7P5Li5HLc1w82iPKuSmHQPkypTKTKRKlvSPSaFZ5NSLtDIJtRH6DykQaIMbkLnJNEak9KOq0USCzC6egZrINUBs8JbmOKjUv1MSj2tDFBqP6HxEohIITyrcdpUdcWKupI0Z5FC4NReUltvMfgsRoEy8IxWojUyqfARCi+pkEm1SGICZfCwAzzsAInMFi2ZsiXLh2f78IwAicm4ym1B7ITOTufUcYNq2dxqKstTNEBiDSKhkiypHjzFg6dIlmTBnOqyKN0WxGNGPGaUN2MOM1qHaypJrb1k5Lcbxo5/Zoxm8GTD8Omjxs4YM3Iou2LOzgXaP940VJomXnh/5PUPnqna+JzbNEPAZ/i5uW5iqt0yyU5OdlBTa4mpdfQLQvF8BzvHZZ3jLJ7l3DzLXjrVvW1Wx9cr4AQDJ4vh7I7o+Z2dp7fAqVI4ail7Z+ihaT2PvZj8/Zy+SQBwen3WdUtugiQPg/holWBOESnERRtriOxqcpCDHeHmhjmoHKdF5yQzbhDZlXSukzAKhahs0YkmzFGocRGIm1I46PQaTv/rOuwHcho0l0OoIwoQhpYotMUhFo9DPAbxKEAsDrFmiDiu71//87oRN4jhvHWgwCGe4nTR2s/D9vNzyQFripdL9XLpPqtC5pQSoxRZRGDQRGCyDtdUm9R2AvPaMvxkegOl8DOoxBp4JtvF5rjYbJ41CoxGYtK9dLJM9feQqQKR7rZoXGbUh2fI5gzeZKwrzKywDLhJ5N5ght5gh91gh91gBlVQA+vIDJ40BihDM2Noseo8TKqHS/GzygClqic0fgL1kqjAYk6buqZEVVuqdhSrBZtGprGABfNZjJJ1MG8b7LHm+LgMH2P0skaRG8BbB9RZ9A6z1oNjfgoLkDovrhXwDJ7MlLhMnjVWUxk3qIFXmGFXbaOuciOvMENuEJk1jEHk9B5WJRApvLmXYOktESluXMXjqGxBZQvKmzGHRVOHa6oonb1o+L5VI599enT203MHjZ03dMzzw4fllqxbdIaceXzFgLOrR17dOCGwdWnLzuXBz1fB/vWw94POz5e3fPrGnU/faPxkqbzjZXHLIs/Wl530bJd1XrX1hZots2u2zXF+ujB8NB8u7YBzOyN/lJZxr5ylX6ra8jr8bGnY+urVVSN/fxXbPSslCQBOb8i8SQy+adJVFaq8HOahVbWmtDpSX7YOLds0oMw08pz56TMFI07nDT6/Kacsf+AfecPOmEZcz8+o3YRIJsRjRngclVi9g0yrY9CrVObBVRm1RzmIBdrbOyMAceiIQ1s0kSQAiAJAtBU6Hb6yD0+wz53LH+AvHSqRasHc43Zx/8aSvk2likCRwsulerg0nkkTWKVo1cjFOsmGuWnEQajcNOKx6jxWzE2pnKZkP5VaTyt9LCZZjS4208lkuRmDwKAeWumjUn1kf5lIdRKqGlxbbsm4bs4ut2RcN2detgw6Rzx5ihl/3Drt99K5f2x58c/ti46XzjnOTTpJjDxnybmBZ9SRejeL1tmUziKFZFX7aHWARBoIrJ7S+1iDi9PZi/S1xXpHic5tQ0UW8RJKEdddzss6n597KT/rUp7xYp7xQr6xrCCzrNBgL86tI5Sugu5+omeA6cdT/StI1U3GeGIDWmYZdNH69KXSiee3TDu7dcbpkqknreNPEMPPmgdcNutvWFTVhMJJpopUskim8oRaxDGvBfU+QFIlqa21Dt397tBxT48cOG7BsEkLR4ybPmr08O3mt37On/bDspwb9OzmPR/Aj3Tr7vzQVzj8vj18wNyxP79t37qWfWsa967y7Vopfvq2uPNNOzOXL1pQTk+7ZptxsWj61e3zm37Jh4vb4NKnkWNbd87P3TEz4+vXhl/KfyH69cb23as+mppaOkOTqG4Z5eSgCpO2qlAh2/QCrS3PV5VTufLul/zfve8/bBF/sji/y3N9u87z3RrPD+vko5R46ANh+2S72eDYlObMT3ZZlHKRQeS0laT2RF7G1+tGQeBC+I4UBWgNA0AHQHsodndSOw4AIRmaz/+5fc6fhTlVpOF2SUaATmug+7WW9PcxPb3WZA+XJnNKXwnmLdEKVpTnML5IJ9oMckmmt9gocVqJ1nholY/T1FvVfio1wCh9Vq1kNbg4o4vWumnEQ6u8ZJqPTPHi6TyhrsYzruCDz+Cj/sSfOc1OuLZzvvjjuo4rO0E4DI1l0HwTWsrhzg2oPw/80eDNL+uPme37l17dOrmMGXalJPdmaaa9KENgdT4KayCR25SugdWLjN5tNdiLMhzFRkeR3mXFREpZR2W2/rSm4WdT4895DT9t8h3O9x7J9xzJ9/2ypv7bxe5tIxx4qkT0Fdj0W6TqFJX5Ozuq5pvljads4PwaGn+DltPQfBIaj4H3SMeVHeKPay9tnXGGGHYZz66mjHWEurogxYkjggWVLZhsuktSrUVdTaD2ouEH1owc9/RI3agXBo5bMGrS7NFPPcmuW+w8ZKre+Zrr0+VVm9907VzTsNvcsp/2fZp3e4/pzj5T04H8wL71nl1rXJ+vrPt4We2Hr1dx8+3FL17Cny8jJp8kJp0peiFwJA+ufBg59yGUf33gnQmrBz3+9dLRZze8YGdfhV+LD60YV/i8NgkALuZlXjdn3zKhTgrjKazWglw3Zx7bOCB2oQSCl6GjCsJuCLsh6oBwNQSrIeiAzvI7B5dd34TxFpVg6e8kFDyHVRUqrpszD60wnNn2BkTEeLg5ChCOA0AQYsF4HCIA7SEACAI4rv6w9jd22FVWz3NIgFM1sIpGOjVx95LXqvLYNJINEW2YaNPxNgNvM7rvJnGNos3gsepkFvWyGj+j9tEqHk8WaYVoRUWbTrBq+cS0JJl2m1HUE0pXobranHnRPOLIxjHHSxbZfy0F+QK01EHEB5EGCN+G0B0ItUGkHYKtEGmFSBOEfBCWIOwCqUw++9HF3a/+Tg+/wA1xbxvmxDV+St1ZYpTy+wdoVGR0gi2njs2qZgy3SKTclFa15RlovghBGTpkCDdApAnCjRBtgIgLghftu167YsqtZQffYIcd3jT4xncf3Kn5HiICRLzQKUC7G4IShGWIyNApQFiCsAPkk/V/lpwknz+1aYi0ZVx5nq7OrBNJvWuTgs9X2fNUNQUKN629siG5zjZs73vDJo57Onvc/NxnXxwybsawUcNLzctObn/r53XP/LD62V83TDtrWVxetLx2yxrp04LG/UTDPvPtb0wNB/O9X23wHFgv7P2g9rN3KrYvrt7x8q3SBeeJqeeJqSfxKY1HCuPXPoaKPcD/DOVfvZn72DtZj+xeMPTihrltB0i4/t1H781OAoALmwzXzZkVhaiDRF0UdsuEni/I+fGDoS0XPoaIA0J+iLVBtB2gFWJ3INIA4WYIiYFvV1/eqHfjCp7o5yAVTlZXZdZeys85sGyg+/BmiDZAtDMaj8QgCvEgRILxOETjCbCaooE//vx4xhlrZpVNKRWpGmyqelYToDV+Ru23Iv/MgVh1ktUg2gyi1XhXdzHSehnUz2gCjNrPqGVWI1o1YhEi2DQCp+IZhYdMlYlUsTDFla90MUMum0b9lj/RfZiDpmvQ5oZQG8QAotFwW1u4rQ1iMYjFYsH2eEcbREMQDUNnO3Q0Q7gdYkGINULjBX9ZycWdc88QQ/jNQzxWrG794+GtutuMykerPWymg86sojOu4fpz+eoy61i4cwuiHRDqjMUgBNAahzAARFugo+bGrtWXrVOPbxz6Bz7Bf7II2m8BNIbDwUTUAcJB6GyDYDuEOyDUCZ0d0NkMwQZos0PVjzd2LD32wTBX8fhaPNtNGBwblUIB4jahNfkqJ4mWF6rt1qF73h06YexTOeNeGjzh5SHjZgwePoxe/+r3xLxvV4/6LW/qWfqls/iiC8SrN7llns/zfLs33f6q8M7BgoavN8j7V7t3raz9ZFnFzqV1X7xZ9dErt0oXXKFnXKJnXC2e33mahcrPofEo+H8B4cgv1MtzUpJeSk4yD0s5U/AqVP/aeu2XRNJNe91irCjUOEjUQSDX8jUnNubsfW9o4OIeiAUikVAnQAtAWyKcFI+HIwCRRvnQ+oubDE5CxePJDkptZ4xV5uw/V+ccWDEanKch2gzxcCTaBhCEWBjCUYhBPA4AEYjLYlnRL8yg6yWYqzjVW6KoL0L8nF5mDDJj8HI6vxUNsHdDavdCYVqZ1cos6mUSVqQJMOp6WllPKwOM2mPFeA5xcyo3o3DTqTzVn8eT3eZ0gTI46KG/v5t5lpkNNT9DiIdwAOLBeBSikcTJxADCAB0ArRBvAmgGuAPxFoAOgDDEY/FoDMKdEG2GiAjOw7d2v3nCNKDaamjYionmbk1c/wCd4mVQB6mvILIumLKPrtX+ZBkLd64A3O6EthaA2wABgBaASKwFYq7aw8zB9c/8Ujjh9qlSiNwCCNzpbGqKQuv9uh8BiMQgBvEYhGMQTCQloq0Q4qHi+/NFL12mxlcSg9xUpnOTRijUCrihOk9ZY1JWWtBadvCu5UPHP/P0oImvDH9uyYjxc4YNf9L83sLdayceWDbo0LtPfrdi9E8rxp3eOPMK/mKV9VXhw7ea9q6+s//9wO5l9XveET5dUrttUe3OV6T9K6p2Lr5VuuAqN+syN7Pui9fhxnawfw7yQbj9KwR+7zj76XvD+03pnjS7/3+sHqk5tW0duMoS97tpb+AZlRY0QdLVPOT3tVmfvp3rvfg1xJpDcWgDuAPQDNCW+NRjANFW6dDGCxv1LrNaINLtBFZNZd3Iz/n5beNP+bMgyEOkLRIL3801xcMQiUXDicF/B3RW3fjm7VNsZk2JSiru5y9W+ItQ2ZohMVkSk+FlDfUc2sCpA5wqwGr8jNrPqH10Qir/P6UIUIoApfDRKpHFXAziohU8o5DYVJFOc5HKWgtWSQz6ffXAWx+9CfxxCIkQuh0NtQWjsc5IvDMM4UgsHI0Ew+2hcEs03grQFos1x2LNsXhHHMKRWDgUjoYTcZZwFMJtEJGg9XzV/qW/5+nkD3MdZO8Grl891TfAKJ24phLPOlc48If3jfs3PA1NlwAaO6CjBaARoB6gDSAabYGIWPvr9o/eHc//YoPOSohKAG0dEG8DSMAbjEE8DvE4RKLQHoIgQGsEIgCdrXegRYCQI3rz69/Mk66aB7npbMFsFAq1LpO2Kl9dmZ9WZUZrmaFfvjPk2TFjhk16bdSUN0ZPenH0mKfzl8/f8ebI7fOVX7xiPPj2sJ/fffrU+ucvFEwvp2aL2xc373mn4Yslno8X1X+5RP7kZfvW+cInr3j3Lqvc8lJl6YIbxbMvWmcIB1dA9Q6wfww1H4P3EJTvkb9nbbOGTu2XNDn14cmqx4pef/7SwR2J+9305VR2DalzUpiD0FzbqPptjWHn69ne819BrDkSh3aA1nue1AnQHAeIN4vfbbi43uA2aSQLUotn3rIMPL8+6+sl2OWP34ewCNHOjmgUIAjRVoAgxKPxWCJV1AzeU+e2Tb9hzeRtKV5rX69N4bNqJS5T4rI9nNHL6eo5JMCp6llVgFEGGKWfVvx3UvlplY9SeimNRGkFWivRmkSAhGc11YT2qiXnyJrc08ULwf0nhOV4s6+z9U4UoD0eC0Esci/hFIlDPA6xGLS3QzQK8fi91+/mpKAjHLkLU3sjRCVoPFW5783TxEBxW65sTffRfeuZZIFIryGMFwpzv383Z88Hz0L9ZYCmOISDAO0AHQAAAKFWCNWf3bf5x8150M5DuCHaKEMsEo1GIxDrhFAo3hmDUCITkUjMBwGagrEIAEA43CpCTIJgZcU3688WDq7FMz1UtqtAV5eH1hRi1QWqShNi54bvXjFi7Kgxw597feTkN0dOeHHMU+PWvj5r3/pp2+erdy5A9y3J2bUo84t52HdLc67hk2uLXvDunO/ePN1e9LzvowXyRy+5t87zffKq79PXa4sW1JYuuFU852LRdO+RVVBVGqksiVdsgcpP4MrnrT+XfvnmlKe7J41MeXiUutsrTxsKlsxIAoAzecZyZmA1rXfRWieuuZ6n+mO17uMlGd4zeyByO1HsOwA64xCDeBgirQAAjfKhtZc/0PMFmMekrzEPvFY4+OQq474lWt+xzRB0RWLB9hgARCDSDtAZi4fiiVYg0th+7esT+Mga1iizKQGur5dVSpxWZLMkLtvL6RK3Zt/PhAQYpZ9Oe0AKH63y0EoPrbobPiQxEcdkQusjNV5KJZKKWlx1qUB/LG/wEXwaOH6DiC/S4k8EEJpC4SBABGLtnS3tbXcgEoRYBIKdEA5DJALBIERiEIlGg52dnZ3BaCTBUzAKAADxWPC2ByIyNJ47t23eRWqIk9V66eQGLlki+tsJ3aWCAT++N2DP6vHgvQbRVoBYgshoDCAagWAzBO9UnTziq7gKkQ6IhCEahUgk0tEC0TsQb4R4C8RbIsHmjvbmzlAwHIdgDCIAnZFE3qYt3umBqBznf73Ijr1VqHPjmc5CXeUGjd2ir8PRaovOaXty34onn35y1LBJS4eOf23wU7NGPPnUsvmTv1g95cOXDdvma0teUJVOS/t4HrJ3ke7QGxnHVg06t2n4xbzhV02j7KVTpQ8XeHYurP/sdWnnq46SlxwlC6pts64XzWj+bW3kGtl2GQ9dpttOEXB6a9vhzZsXPD2239+HpnTNTu06PiPl+SG6JAA4lZ95kx1cTRmdNOrAlTc2KY6tRj99VRc48wWE/YlcbCwGEA1BtBXiLe3QASB7D62+uhoTNunkwqya/KFX8ob9+X7GV28ZoeYgdNjDEO1MfBfjoRh0hiEYB4BYBEL18m/bTuUP5dnMBjatiUn2MxqZ0UtMhoczBjhVgFNInEa0ook7a72s2ssq7yWNlF5W7WHUAoO6GMzBaO20zkXqRJPOZ0L9FpVsSXcWpt8sUJ3Ky/4hf4zw5w6ISgAdnZFoEKANINDREoJYHMIQb4d4E4Tllupj5/YR31GLvzHNP0QsvLzP3F75K4QFiDVCrC0UCUYB4hBuDzbHASAWh3AYwg31p784b5tZxQwRWaTRluohettx5ZUCw8/vGfesHheRKyAav/uhxQEiMYgEIXgHOpvirU0A0BqJ3QlHghAPhpoBmiDqg6AAQT/EWiEWTqSQ7ysSioY7OiEeg3gkGumAkNu9+9Wb+bq6AgNvyajaiNnNBjuhqzJr69hhe5ePeGb4yOET3xj8zKsDR8wYOmT04uljC+YPpmahW17O2bk4d88bI35aM+7gssGfvaTc/4rmx+WGE+uHXibG1mx+Qfx4sffzpd4v3uQ/WWrfsshhnVtNTrVbZ8Dv6yOn1zf9uSZwfE35vqUnbPO2LR42X/v42P6PjEjtMUanfHHCyOFG9QOeRBnrKLTOorqxSXFilebzV5DAmS8g3ACxIMQBYtF7JDWHoBVADBxae3mNzp1nkExZNfmDr2wYdGKV8esVOSCfgKAUgVgQIBgMA8QiEOmESAQAwm3Q6ea/M13Mz60vyr5tVTWx6T4Wk1i9xBq8nC7ApPvZVJFVCxwicIiYCBhxd3+HxGvVyKxGZBGe0bporZ3W1VJ6B6mXzMaAWd+Aq7x4ut2sumIyHsOf/paaA53VAE2RWPBOONIOd29niEIk0nkbYg3QcPXCvk1fvPfkZ28aDiw37n0T/eod47YF6R+/mXtlzzrwnINYA0C4NRqKQDgC4c5gGOIQa+uEcDuEAle+3HSNGStwGY1FSg/Vx25RXM3X/vSedveasSG5CuIQT5TOBH/RDgi3Qizc0dERAQhBLArhcNDf7Ll07ej2Pz9ee2w9k3VUAAAgAElEQVTbeyc/K6w9vi8kVkCoBaKxeAggBtEQ3F1iigEAtAdjEGu8c5y5XDioPE8nUFnV+VidWVdj1lQUolXk4C/fGTF6+Khhk98aNHZx1vBpA4c8PW/KhB2r59DzM20Ls3e8MbR0UTY9U1UyM/WrNwzfv6U/vnrwdXqK/X/xdt7hTV7Zus85985MEop7VZc+9eJu000vgYQaem8mdBvcbfViYwhJSEgCpFFSCB1CIJQQenUv6rIkN8DGgIukr637x2fKzGTO3HOf51w/+3/rsX5ee+213/fdny1yfrnc+/Wq1q8zvHuXeb9a5ty9wGqaXqua5Nw+Cy4UB85ntZ9dX//94t+2vfPp8rj3mG9M5vQbTguRRYXOHDtqTGr82//5BjWZRGqMCrNJZi+VWg2i8gL2H5tZ3yxDmm/+BNhzwAJAvrjiIFEAP0H0ANHUdDjvRrbMrBbaNYKGInFlofSX9awTBSOgoxqIHgLwXhwHABQj/AQEAHwEAdAFPVWVexY3mBLbtgmotsZbJvSWiVu28dtKOA9LWG2lrOZtHCqqps98/ZqVtrkUaS4VeEr5nhKhp0TkLhV5S+TNxsQWvbxZGeUoCnGWSS+r4netG9RR/yugbQBdBPR0kz29lMGAAMAJwDshYKv4bvORTYpfN3LuKiXXCsVX8qUXcsQXsuWn1gt3vR975dMMwFwo1tXzokEkcQDUD0QXkF3+nqd+b/nNsqn2ssTWMsSrj3Xr+eVFkpMbhQeyR2EPa4AMkAAoQKBPhe4HzB8A6CEA9T0F9CFgjrs/FO/OSNq7QnRgtXDPfPp3K0SfLZJ8t/XdrtpzgD4BAiOpC0riRX0CQAGA7AHPxYv6CfeVMptWYNMiZg3bruc1aIW1htRvNw5PGzpMNHoBP+3d+PQZiaOnpw8feXRHzv4tkz5bm1Y0k6GdL/x4RdxPmcm/bJZXKYc5S95t2rXGvXuTY8+mxn3rHn614tGeBfYdExs/mValnlipfrdz/8beozmerxdZ986+qBp2unDk6sS3J9D+cwQ7QkGPHjZo8MRJk8PDI8PDI98AgLsFvHqj3GqU2UpkZr3kfiH32mb2t8v5nltHgOgBDKNIIskX51TcB1hL05HC67lxtTqRWY/UFyEVBcIzGxin1OOgywkkRpK4nwgAAIaDD39BEvkEnt2u2D3TrJe0lSEt23je7fzG7WLPdnFzKbetlPWwhNNWwqEIo9ZLq7/XxH7hW+VTvkfKJOQxSVz6hGZT/GMj3akKq9Dxj2Urjn60Bp67AOsE6CWgKwDdfsD8ADgGgGKAtbVc+fKCatS1HEFNEcusZlVrBOVq6T2l7PIm9q0c4dEV9O83pTWc/wyg6xnAMwB/ny64F4gOgGc+ALS7rebbdbXGZM82QaOO7tIIKwokpzaJvtuSjj2qBNJHAoEC+Ps0xX4g/JQ5B8hO6K6/uXfjqaKRx9cLLm0VXs7k3S2OO7+B+/Nq3p5lkiPa+T2uu0D0kjhBkC/+7K9ICsDjiksfzr2vTrTr+DY9z6Jj2/XcBq2wYduQzz8YJI6Low2ZykwaL0ufFjfq/aHpE4uXTtPPTSmcyc2eRlPOl5gWSQ9siLuQk2TWjXQZp7h2rGn8PLflB2X70YKO71Y1fzbN+eGEh1/OerhnyZPv1vmP5D38dl3ltvduGSbunssoHhe+OiU8PfZvcbTQYcmJU6bNZInkA8OigkKj3gCAe4VIg0lhNcqsJmm9VnS/kHs9k/PdCsG/IonAfYC3eY8VXS9IqNVLG3S8ukLe/VzB6fX086Yp4G8BkiBJHAXsJUkYQC+OAtEB7dfufvxenV7c2mey5nteklTCoU77L0lq3sZpLuV6TWyPkeMxcl5Y7qnooD6Y3EaxXaPw6OUPjWybMvJGAevARlnDb19QjQ5B+gnowaA3AJgPCBwDwALw1Hxh59IzmfIabbzLwLerWFaDqEYrbjDF38vn1yillzfzv1rG/yrvPayrEQX0OUkGKJJwH+AdAF1+ACC7Ov/46IE+zVUmbtSznGpBeb7obJZ4/5bhxMMqoP6LyBc1iegFvDsAgAEJRMuTBwf3fJBwMjvujjaxUiu/UyioNSb9kcX7LUvy/VqFYZ6s8uxXgHWSBEaQQJIkAEa5tVAAIH3gM9/Zs7Jcm+zQC2x6ns3Ateu59RqBfWf6rlVJHKEwZtC7yOAp8WNmJYyZM2TklGlpiYuSmWMZb7yv+F+bJvCKpgs/XcT/aY2oQj288cMZLXu3ePcXuX7Iaz66tffkRji9wffjqsDhNejhdeSJLDhb0PXjxlvayV8tlm6fLZrOe+NdcZAs9D/EtNC0RMW48RNj6JyBIZEDgiPeAID7RXxzSZzVKDMbxHUa4f1C7o0s7v6Vwn9BEkHgfsDbmo6pbhQm1hlkDVp+dQHvTi7/1DrGpe3TAWsDAsdJDCUJEgDDScpX5McxIB5D6+VbH05+nSR3mcizTdTygqQWai/bxqEWVY0okvoYMvI8Rt5LO2yjQeQ0JNi1Eq+GbimOvZKH/JA9KNB4FQKdQGIYFsChFwd/ALAAYNSU73n5kbOqCbeVKXZjnEfDblTT3SWSBq3QapS5ShOrCzg3sri/ZMZ/vCLRcecYQFcPGegjCfUD9gTI5z7qG/WcfVA60r5d7i5BXBpxZb74Qo70YNZwsq0GcBRIIEjAAUgSgOgG7DkGJIAPOsp//3zlWdWweyVp5rK4Oi1SrRHcyWPdK0Su50nOZid9npH6Y9kG8LUC4SdJHEgUgFrUN9EDuKPm4GaqJll1XJuBa9Nx6jWIfWf6xysSuCIRZ+T7ijGzUybOixs7Z9DIdzNmziqcP3mqtN/i1NCC6Qk7lgz9bv2gc3lDynUjLTumuvZt8v6obDur676ih9/z4Xw2nC+EMznoz2ue7V/S88OqnmObbxlmqscz16ezR7P/lsx8S0TrNzxZqpAKmHRW0MDw4NdJspTGW42yBr2oRsV/UMS7tRU5sEr0r0jCCT/gbd7jqutFyTVGRb2OX13Au52DnPiAdmXn+4C1AYbiJPGSJJygTjAoEO3QfPFG2eR6g6y1lN9cyu1zM24TtFDKaxOv2cTzmtgvw2te+gy9Jm4fRv9gVzWIXKWJNp3EqWY2KNm/ZYvOmqaD3w29z4AEFMUJMkACGoAARvkw0cdVh/IuFw9tMCY7NUiLjtmqZzaXiBpNYrtB1FSWUJNNe7CVfTUv7usMxYW92YA149CLAgkkAVgAyOck+HoAMNwH/praz2fXl8Y1lgjtGlFlvvhyjuTglqFkax1gODWnftFxdwHWieG9AJ2Y8+wJ5ajyHcOrjOIGPdOsiXWaBDVKjtUguVcsOrWRf2BT6s4NE6HHDfhzIFEgKUOXHwDFAAfoAsxlPpx3S5lg0fItWp5Nz7Nq2XVqnrls6M5lcYhEwh87TzFuTtL4ObJRs5LS3503dZpu3ZIlI3mLB4WvH8UpmiLavVh6YkvyDfVQ62ezHh9Tdf++q/fWLv/1EuJ8Hnp8o/9IFnYk0//TyqbPp9ZuG1NVNvV41vgto5Hh9H6p3Ch2ZH+EG5mSIuVxGSH9g4PeDg4JjRoYEtlHknVbgs0k/++Q9Mh7XP2KpHz+7Wz+kYyY3z+cBVgbhvoJIP0kTlLTFACSxAkyAGQHNF+8vmOKxZTQXIq8TlJzCafVxGk28ZtK+B4jx2tiv1iv4mNeVqPXSXIahBaD3KwTW1SsyiLu4bW8W3s3AvaI+tgYCiSJA2B+wkcCCqQfnllvfrzgnibVohE1qpgdJu4jPculYTUaBU2lMpde6FCyrRrh75t5hzcoflbPhI5KknyOAgYYBgQG0EsC2gOAETigdvfRLeXGBHuJyKoUVuQLLmwVHMwcRLbWAUbCy2aZwAHvAqwDyB7AW9uuf3pRN+KuWmzWc1wmmttIcxq53jKJRcOu14p+y0QOb0ranjG8t/E24M/6LO2vk0R2Ae5yHC++URRn1QnMGq5Vx7Vp2A1qnrVs2K4ViUK5HBkzVzJqZtzY92Vj3k8eO33UqFE5H8zbMCM5YxR96wRBySz5d2uSLijT6z6a/PTIOri9G8q/6b2+s/Ocyn8imzia5f8ps/PbjMdfz7fsnPhrlvzLBdz8ceyZ8mhFVBASG81kxcanxPFFnJDQAeFBYTHhsSGhL/qk+0V8W1mivURBkVRejNzO5v8XuxuOo0A8ch9T/VGYUmWQ1+r5VYWCOzmCIxkxl7bPAH8zGvCRQASAIEhqpkQA5scJH5Ad0Hz5+ofvWUqTm0r4zaUIRZJ3m6C5hNNs4r2w1nP/sQ4ZeW4D9x/M1NRyGUV1GmG9VlRbyLhXKPhuJd917mPAnhEYUCRRHwClrN9kF+a+eb3kHWtJsrWY3arjPDawWzV0h4rh0PGatkkadbwmI+LQ8m9s5Z7dIt+/eajfdh7gKQE44DjgBIAfB6KHUllhTc+vf3JLn2QrkZmVgsoC4fnNnIOZg4i2OiBwIKHP3PmSJOgFrLn6p+zr+iEVSp53G9JcSm8updt1DE+J0FxIM6t4dwtlv2SnfJIxrPXBGcA6X5DUt8ERFEmoy3Vae70o3maU9tUkNYsiaffqFEm8giIpYfyc+AnzUibNGjx2xOqVU3OXDVk/IVb5nuDjBfLTOekNu2f5z6wjzmWjl0y+Szt8v29HLxjJo3m936xFf8hs+mxhpWHshZyUzxewNg7tP4X/ZnJ0f15EKD2WNmLs2PSJE3hiYf+BAwb0Gxg8MOxVTbpXiLwkqVYtqFDy/z1JePs/kHQ3V3gkI+Zi2XTo9eJ+6uSC4SRVkTAS68WxXiA7oPn3aztnNpSluU190cfebQJPaZ+3sMkk9JSIXvrqqTrkNnAb9ZxGPeefSfIY+C6TwGKU1BskFQWse0XyQ2vje6tPANbl68VJElC07zNjqB/AD+iTZw1nLxWnessSnGp2R6mwWUVr1rBaS8Ueg8Cu5TSXCjx6bm1BbJ0u7lJu3JfLRE8fHALoIAGjJANABgIE3kcS2orW/XhNn2YtVVhU4poC0YVNnO+3DsYe1gCJAmAkiZMAQOJAdAPWifk7gWip/G7DNWWCs1ThMTCdqogmA81r4jq1rBYDUpMTczdPcDYr4ZMVae1VZwHtBCIABEqNJQEwguqTUJf3V+NNZaKjRG7VIXYDYlWzzBqkzpTy6cokiiTp6FnJk+bHj18QN25G4rhRi5ZPKV4/KmNMyNoh/fNGDPxxbVzTdwu6fl6C/bKBvKgN/GboOqPsPpqL7t/s25fRtnthXenUc1lpn83lZo4ImSF7cwjrbWlsMDMmMiExdcGK1WyJjHqoPSQ0MjQk8lWfVKkWW0rjzXpJg15UpxHeK+Bc28z+ZhnSeOMwkL2AotT/FkkCgeEABEFgFElXi1KrDPJqLa+ygH8vT3R4VdRvpVPhuQNIDMUDKGAEkCSBAYkCTrlsO+HpvVufza82JbtLRZ5SflMJj7JqNBs4zQZOX1Sojuc2cPtCP0xCr1HQqONRMVnUej37zGnkW4yiOr2ospBzfgPncFY6uK9DoDuA992pAQlAEiQaIANdAJ3OK3uuKpPcpaImHdKs47bqeF4112sUu/RCT4nIoWc36jkOA1KtlV7cKjmQIW04YQDyMQEo4DjgOJAoBqSPOtsTz6D1yvWS9Hqj3KlXVOQgFzPZ329N8z2soG7QSMBweOF9ILpICADW8mDvmjuqZHeJwq1mebTMRi3bqeG49YhHw7YXc+5tRX7drNi9IrXl5lHAngIeAJx4faQEhA8wr+O07qYy2WqQNqg5L2uS86MRn69JTkhLEY5fEDdpvnzsLMWEBYqJ7ydMmjRuWvqK9xWZU1nZo8Pyh791YLXQ9vl7gRPLyFOridNZ2Ok8/4ls348b0H2re3YvrlKPupwz9Iv54vxxzKWD6Wn0t/jRbwrZkVwOfdLkd5JSh77ZPyIojB4WxX5zQEhQeN+7Xq9IshikL89u1Dzpv0MS716+8MQHtFPqcdBhBhJDsd6+ToHEgaBKNAbkU+iuvrt3Rbkh1btd7jYJPEaOx8jz6NlNeqZXy3HqBA69wK3ne4y8l8FF/5CX9WckCer0ovIC7rmNwp+yx0HTXcD9fuLliJmS/qCAPgeyw3pp13V1nHebwGvgNev5LXqxRydsMsqotGSngeM0cq1GpEovu5QnPbhaXHdEDcRjAlAgSMBJksQxING+eWM3PL57c/uYGqPMrpVRJB3akup7WIFBAMBPAooBoH2ZGT6cDADa+uDLjPvKZI9J4VFx3FrEpRfaNYhbz/dq2M4iTnk277dNis+Xp7bdPAroc8AwEn9tOEkCED7Am+wn9TeKU6wGaYOaZ9fzbBq2WcOlSIpPTeaPnaeYOE8+dnbcxIXxkxcqJs0YPD591gThqrFROeNiS6cyflgrrdgxpvPgzJ7v5/h/Wuk/vKbncMaz/UsffzjTphl3eUvit0uEykmcBQnRydFvy+nhLFpwLD0kfeSQ5NQkOoM7IDgmNJwzIJz5t+Co/pHR1HNebwBAlUZi3ZZAkfRynvRfkUQGqD7palFqjVFRp0WqC3j38oVnNrAObRmENVcCiWJoT9+Qn0AB873oFp+D31Lz45bbuhTPziSXie8x8twG9mskiRx6kccgovxDLxcVT/N6MtXL5TLwrUakXsd/kM87t0lyJH8KPKwGQH19czzq0p8ADAe0C8j2+l/Lbihl3m2Ix8D3GEReg9ytk3pL4txGqcuAuEy8xm18i1FQZYi7UpRwaI244mB+X00iSCr3ggC8b8xD+uFp1d2Pp9QYFRaVuCIHuZTJ25+Z2vOwAgMfpRPBgAhQ9x0kGiBwCLQ9+GL1/aKkJqPCq+Y5dRKnUW7Vipw6gUfDdRVzK7byLmyWf7kirY8knCD6rDgvFh4ArMV6Une1KPklSXYtx6LlWbcP2Z2RRJEknzBXPGaWdPw88bj5svGLUse+O3fyoGUjGStSg4rGR3+xiHfTmG7bNarli/FP9s3s+Gr2w29muT+dcj8/7eQy7ufvxxSMC1uSFDmOHymODI0T8vkCdmKKbPykkQxmzIB+weGhjIHBjLeD6W9Hsf4aHvUnJFmMknqt6EERj5pM/luSrhWnUSTVFCLl+YLzmzn71siema8CQV3gokBiQGKA+QCwABAE0QWYo/Gc4bo21bkj0WkSULnSzQZOs47ZpOO69GKnQdpoEP1DxNF/TZLdyKvTIvdzkXObpEcKp8GTegB/LwAGQJIkoFTeCQFoFxCPq04ZryvFVI67Uydq1MudWrnbKG80iFw6truE6y4T1Bv5FYb4q8qkgxmiO19nAvkYAxwI6EtQARQIKhksAN2W8s+m1erldcWCB7nIxS3Id5tTeh5WvdBP+F/ojwmSxFGSgMDDis9XVhTFNxmkHhXXoZPaDAqzTuzQi9xqjkvJrsrhXc6Uf7kipe3mz4D1kUSQ/0yS4WpRqsUgN2sQhwFx6Lg2LWItTft8TXLykEGiiYviJs2XjH1fNGY2L32OcNTyQePmrlk4LWfe0DXDaZkjI7RTI08XpN1QJ9WXDnXtnOj4cFL19rF/KNMOLWXpxvVfJn9jlvyvwxlvJtHDZWw2wuYIxci4d8aIJdyQ0AHBA8Miwphv9495K4jWP4bzl7BI6uHK/1eS8EeeY8obxSl1Blm9lltbwK0oEP6Wxf5ytbDx5nEg/ED0koQfSBSIAHUP6QPASB9g7qf3910zDLOUJjqMQpeR69Gzm/TsfybpJTr/jiTEbuTUa7n3cnjnNsqPFM+EzgaAXh+QGKWCQQOAUST1Av6o8qTuulLkKeU4jXyHXuIyxDk0Mq9B7tbzXRqGu4Tt2c6vM/EfGOL/KE48tIp/c+9GIB+jFEk4kIACSY05A0Cg0GMv/2xGjU5WWyh8kCO4sFXw7aYUX1tN38QB/GQfSUD1zIC1VX6+tLJQ2mIQulVMq1ZsMcgbdGK7QeTScFxKdlUu5/cs2Z6VfSSROIETL0iCF7sb1mI7ZbxWnGY1KixavtPId+p5dh3fsX3IvrUpacOHiictjps0XzZ+jnTCQvHYJaLRGUnpc1YvnPlJ/gLTqtG6eXF5U2mfrhQc3Si+nJd0p3jU1YL0Y1nJu5cL8ieEL0z461jefw7l9YujDxDTQvm0GGZs1PBhg8aMTQ8JHRAcPDA0JDI0NHZAcMzbIbR+4bS3w6L/hKT/xu6Gt3mPq24Up9Qb5dRtSWUB//IW9r7Vohs/7QLcD4QPiF7AAxRJJJUHR/oB84LnzJ0dE2oM8Ra90KHjNmrZHi3Tq6F7NGyHVmjXiRsNoj9F51+R5DRyzRr2/RzerxtkhwunQ0cdQHcPBHBAAXyA+gHDACMg0ANke/Vpw021yLud6zIJnEZZoyHRqZU3G2XNer5bE+stYXh28OpMvPsG+e+F8QdXIne+2gzkYz+QLy5TUSB9gPUA1gMkBl22+7umVWuldUWiB3nCC1uE32we5G+lpgB+SiJCTdQonx+gLdWfL6oqFLToeY3KGKtOUG+Q1RrEFr3QqeE4VKyafM6VLdI9q5Labh4G7ClFUl/D10dSD2AtllOmPpI0wn8gKWlwGnf0HNGYWdJxs+MmL417Z1XS5E1pYxYsnDVpj3HVx1umapelbpnBUs9hfTKf8d0S/k/LEr5ZGGeYwftgdNSMhIEjBP1T+BECeqiEHYnQQ2ihb41Ii1s4Z2ZSnCIsLCw4JKxfUOiA0MjQKEb/kKi3BkQGR9AGBEf83dnt/77jJokAdVtysyipwSi1aDn1hdyqQsEfObxvPpB+vy0LfM+A7AHoBbwXMD+QKA7gA0ABB6wZfPdqv5xZqVf8GUliu1bi0oupMLyXkXgvGfpnktx6xGVkW7WcB7nI2fXSH/OnwuMagK4e8OPQC9ADaA9gKKAoRVL9r6W3tELvdm5jiZAiqVEjb9GLm3XcZj2tuZTetINnLuE/MCouF8QdWs17cGALQLsPSIJ8SVIPYM8B7QISg6fm2zun1GjF9cXiB3nC81uF32YO9bc2AE4CjgKOAgEEDn1/PSAB9dZ8Nrcmn9OqZ7qVkTY9r94kqTaK6o18m5ZpV7FqCth/ZEv2ro5vvXkI8CcEgaEkoC9KEgABRBdgLeaTxr7dTS1wGBC7lmPTIo7tQ75al5o0bDBvzFzRmFmSse/HTV6qeGd5ypR1IyYvmDNt+BfGxcZN47LnyzfO4mx6LyZ/fIhqdIQmnZEzhLkwKWqUMDieHSZk0WNj6VHRsfSYUA5tQIIoKm/j8hmTxjKjY6Mj6ANDot8KCe8XEdk/PLJ/SHhQUFRwcPTrJEktpYlmvaRBJ67TCO/l8/qmANePAOn/V32S93jxzaIki1Fi1XIainhVhYLrufxDa0VfbJ0BT/vu4YFASQIjSRx9IQ8CrANwc/3+1ff0qWa9zKlH3DqOV8vxajluLeLUSRw6qUMvcunFry+nTtD3aodO4NT9Q/+ENJp4FEm/rBf9lDMJWu8DPOuFHhz8JPgApXKa/BDoArKj4bePbmilTdu5HgPfoxN6dTKXSuTWC106dpOJ0bSN3ryD4yoVVOlll/Nlh1bxK38oBPKJDyitHwAZAKIL0C7AeoBE4Undje0TqjQii0r8II9/Llv47ZZhgZY6wHHAMSCwF4IcAAJwkoCAp/qz2dUF7GYDs1ET5TDwLKWSWoOo3si3apk2DbumkHM1R/rVqkSKJJwMUJFlfRgBAWQXEC0NJwx/FKbYdJJ6Fdem49o0HLNa4Pho5LdZI0eMHS2fsixh8kLFxHmyyUuF4xbJRs8fPun996YM37P9gw9z3y1alpg5W7hoRPCKIQOXJfRbJA6bJYgaxo0QxAQzoiMYdE54FJMvkDBiQ+IEER/MG3320K40mSA6PGJAcMxbwbHBsfQBUdH/0a9//5CI6ChG/35hQS9JqlDKLKXJVqPCYpDXacT38vnXMzn7Vwobrx8BvPe1ySQJJI6TmJ/EAdobT6huFiU49CKXhtOg5NaohFe3cn7dIvlkAf/R9W8AawHC14v1uTQCAM8BegBQPAB4KzhPXSwaZi0d5NAKXVqeW8dzqHl2jcipV9j1cpdJbjfJrAaJRS8260QWvdhqkNiMUptObNEI7Tpho0Hk1gudGsSp4jTqEJeBX6/iVhQIT6/lH80b7284C3g7Qfr9RIAEyhzSBYFOIJ4B+dR6dd9NXaLHyHmo4zzR8R7pBF69wFEqrNazHDt5Fn1U+w6OR8u0ayVXt4oPZIgbzmwHsssPgPXtbn4gngMWAAwFwk823bliGtlQIrOp+eV5nKObWd/kD8VaKC0A1hc/R/T1WAQJ4HfXfDmvSs13mBCrhuHSCx16kdUgshj4Fh3TrGVV5HMvZ4r3LE9ou/EDEE9wwPriNKlZBhAAPUA0W38pvVGYaFPzG9Qsi5ZjLmDXqSQPDIMvfLRCqdIszvlwQZZ+1ibtmOXK8as0ExZmzli8dsmypZ+W5u4umJk/R7x0RPS6d4SL0mkjeH8ZzBwwRMDiMaOjYyMYzJjYmAgWLVrAihHSgqYOF39WsMTfePuDZbODwyP+Gkb7Sxi9X3jMwMiYAZGsfqH0oKCokODI4JfzpPJiqaU02WKIM+tltWrJ3Tzk6ibOt8v/JUk9QAJ0uE6qbhbHO3Uit5rVoORWqYV38gTnN/O+XsSo+GYToC7Anneh4AMIEDgORPfLskT2QmeV7YfsG8VJLpPCqeI4i+ntO+JaShR1hTyrVuo0yhxGsV0vsenENr3QphfaDSKHnloCpx5xaXkONdupZjcZBY+2yzwGQU0hp7xI9Msm4f51KYG6k4A+AkADBIkDAOYHohsCHUA+A+h23z96RTvYruM/1PI61Jw2Ncuj51q3i6q2cRt28uxlrEdlLI+aZi7iX8+N27dKbr+8DwgfSr4kqRfI50DggOOAdaG2i9dLRjYYpdYibkU+91Q28lXuYKy1HAgfCRjWRxLa162TAH531TodOXUAACAASURBVJ555Rq+1SQ0a9huvbBRK3LoRTY9v0HPrNeyywu4F7Oke5cltd34Ccg+kgD6ZhkkAAk+IFobfjHdLIhzqHkNGqZFxzYXcOuUipvawXuzJy5fvnLJlrL5m7QLc7fNzP54bu6uRVmGjGztxqzC3Tv0n+XPyJ3OzRjDKV48avlk6Qh5WAI7UoZwohi0YHpsLCsmNiacS4tAYkPkjIFbF4x7cHg7dNbs3q7+24B+/WI5f41iUQ/lvhVCfzOYFhwcHR4W84okqiZZDHENOmmNSnwnl/fHRvbXS/n/iqRewAE6Gk+obhfFuzRCt5plVvFq1aIHhcILm3g/rGQfzhkL7eVAPPP5cQwAMB+Qfv+LlFIAALwdt5w+XzzCWprWZEQ8xWHNqlivhmlVIU69zK0Te3TCJh3fq0W8Wp5Hw/Vo2B4Nu0nP9uoYbg3NraE16ZktRrZXx3AqY71GQU0Rq6JYeHGr5NNF/I67BwF/SOC+AJWxgwUAegF/BsQzgN6n9msXjRNrdYleg7xVx/co6Y16lrVMULON07CD3biT11zGcGpZlYWS3/OH7v4g/XHNeSB7MHghX4RuIJ8DiQOBQqDj2b3vbxuHmXWihlx2VR5yPle8NzMNb6n4nyep5Ea+wq7i1qsZFEm1xfLybaMMS+KHDRs2ZVnOqNkZE5dvGbdKOekD7dRVBdOWbpo6e2le5gc7tryXO4O/aYps2/ppy99VjIyPjONECrnMSBY9jMWIZcXERIdFh/RLk3DnjEs7ULKl7fpBaLlbfeMXNoc+IJr+ZgRtQEh4UHDo2yExbwVHB4dEhodFvyKpSq2wbkuhalKdRkrVpH9HUrvrRNHtoniXlu9Rs8wqXp1GfL8A+WMrcnwt//Olkqar3wDeTqI+LIAC4Qe8l0QxEiAA4McACB/0OCzHCm/qh5hVnM7tiKco2JYX7DYJXUaJWyto0vGbtfxmLdKk5TRrWE1qpldN82rozXpGk57p1TE8erbXxG3Uc8wqmtskqC/mVBYJLudIPlnArTxqAOJRwN9FiV8xDANAgegBvAsAJdrNv380974hrbEkodkoalTS3DqWvUTQYEKsZYLGHfyWMq5Nw36gkp/Ymvp13nSyvRbILpLEgaAk/r0APQSQQAQAbfOe3X5HlWzVCM153PJs/oUc6b4NKf8fSKo/Y6JIelGT2LVKac3OsfqFUh6XnTZpUcLYGUNmLUt5f/3IpbnjFmeNnrli+ITpyxfN2Zb13ub3OKvHIerl42ePQoZKQ+WsSCGXRUN40Qg3hh0TGRUSFTowRYLMHT9oj2ptxY+mZ+UnWuqusegRb4eG/y0kLCgoKDQ0NCg8dkBodFBweEhIWHBIxJ+TdC+ff3UT56slyJ+SRBCYn8SBbHcfL7pdEEeRZFFz6zXC8gLu3SLJr5v4e5bwT25bAb1OILrI3i7A/YCj4PdRNtzeAPj8KJBd8OTe3S+XXM1FWnaI20s5Xk2k28C16/hOncjdl03L92p5TVqOV8N2q1kOFcNj5HlLxQ6jsEErrNOLbWWJ7o9SHEahVcOrKORdyZV8vVp8ascKwNtQ9Dklfg1Qhy6SGpYSEGi5d2DNdWOS2ST1mhCPkt6q47l1UpdO0VSS4DGI2rYJGlTMu1r5t+uEJz5eAVgjwFMAH+ABSsaOQQAFADwAAbd1f2Z5saJRI3QUix9sEV7aIvtu42Cy+X+cJPNp0/U8uU3JadDQrXqOpYhVqxRX7xi5MyOZToviD5ogHDpWMX4aO32mbPLSpPdWDJm6NH3ynIULZn9cMHfdO6zF6eycBSPfSaWliUIkjHA+m0HnIzF8XjQrOiIymBYVLmbGTh4sL1k/5wfl4sqfttVc/lnIjAoNDxsQEhoS3D8sdGBweNSA0Mig4NDg4NBXJFWq5OaSpHqtrF4rofqkPzay9y3m/TlJZCBAokA+ch8veJ2kBq2wRolUq2UXNvF+yBB+siKl/cEJwB4B0Q0ECjgOaN9lJIZCj58AwIB45LedrNm34EoeUqdkeU2Iy4A0GkQuvdStk3p0Yq9G0KThNanZTWqmV8P06lhOLcumRewmia0ssa40ocqUWKmXWfRCqw6pLOJeyxUfy0r6OnsCPDUD2fNKRg0AJEESGEkCkB3uy8ar29LK9Xynkdukobfr+c0qaas2ud2U1qyTtZkEtcX0P5TCvesF5WeNQLpfkNQDZC8JGPV6ARA90FlR/tEcs0ruVfM9mvgHWeLLmdLvNw6Fpv9hksg2iiS7imvWMuxGjrWYXacSPSgZ8vnGIRxmDDN+hGDwSP6wsVHJY2MGTUFGvh83fm7KuFnvz55+YOdG5eKUlRPEG2YOmZgcM0QaKWNFsem0KBYnnM2OpEdHRYdx2ExWVHi6QpC36J2PMiadKlt/4buPhidJ6PTYiKjI8JD+YcH9BoSEvx0aMSAkNDgkbGBoxKs+qcGUWKeR1mnEtWrJvXz+vyeJeOQ+ln8rX+HUIB41y6riWrUis1pQrRRczWT/mindtVjyy4cZ0Hof8A4CR/04AEkAjlKOQQwnCSBR9CmQbX7bydt7llzVDqrSxVv0kqbSeK9O3qyRNaskLUr+w2LuQyXzkZr+SB372MhsVEXbVHRXqcCxQ1FTKnlglNSUyK0moVnDrVbxbuYLT29N2LUmxXvvOJDPcJKg4pr6fGcAKAZAPgPP8bu737lrEDlLeC06RqceaSsUPVEndWiTHxvi3WpWrZr5ay77Z+UQX+MZILxA9gAZoEjCqEsQACCeByp+uqEa5dIpGovZjZq4O1tEFzeJv98w6H+cJOKR+XTpjVy5XcW16JgOE9emZNVrhPdMqTtWytiMcGbcYPHQdPnoCQmT54rHz02aumrQ9FWD35k/a/bMX/Zrd2yemDFJvnCsbFxy7IhEeiKfwabTwunMEAYjLCYiOjYKQQSRoSHMkH4TFayC6Snf5C34+WP1kHghgx4bHhkRFtwvNOjt/iHhb4VG9Q8JpzD6k5pUp5HeLxBc28z9V30SQQYwAgXikedo/u0XJNnUPKtWZNUJKnKZd7JZ13Jl369VbFsgf37/B/C5UNzXRQAAAbgferoA8wOJE0D6SRQjngPRAm3X7SeVlzSjr+XHW0wpLmNio17eqJU0avgeFbdJzW7WcJp13CYd0miQuEoT60tSrhfKLubJaz+dEji7xlaWWKfm1WsEtwuEpzaJPl0muXW4BNCHBO6jjtA4jlMk+agwJ6y+6tCaW9uGmMvivCakwyhsLuS3axJa1LKOsuT6InqlQfRzFu/Cp/OAcAHxjCRxkiQB9wHpx/pGrCTgj5vOGC9vlTcZFbY8mkUpvZGF/LaBf3BdMjT/D57dAHxAPLKc2XYjV+5Q82w6lrOEZ1ex6zXC+k/SjYt59OgBUaJ4hiyOkzwo5d153OHTJOMXpk5fPXTKwqnT3zvxVbFp7egV48TzRolHxUeOTGamSRCEzYpksimSYmjRYeExHBYXiYkSh/7v+YkxmnnpP3yknjRycFhY2MCgkOD+b4UE9+8fHvV2BO3t0Ih+weGvSKrWxNUbE2rVkjqNmCLpVcdN+imSqG+CJDAADMUDr0hSCxpVTLOKY9YgNi1SV8SuKeRe3kD/dWv81xlxB7aOh7ZbAN3PiEAPFiCBILFewHxAojjmwwEwIDAIADyDLqu/+mfbgc1XNcPvGOPu6rl3tex7GnalhlutE1RrxZXauEpt2i3lkIu5I37Nn3j3ozUd53aD9Xdou2LZObZKybXoxfcLkHObke83JuzOnEA+qgLsad/TAyRO4CgAYAC+nl7AOsB5+cG+lb8VxNu3J7V8KLcrkWaT3GmQOsvi7muQo5sZv304FXOcB6y35zlGkuAPkEBgQKDPevwYAE70wHPLBeO0Sm2aSyN0q7m1SuGtfOH5TcjBDa9IQqnfjgcokgAA/O7KL+c+UCNWk9Ci5XgMokatyKYVUCQ16DjlBdwLmZI9SxMpkjBA/4kkPxCPGk6YbuXHOTVIvTLWqmfYVax6jaD+k+GlywQRIX8N50ojEX6sWMZOTmcPmcweOk2QPpOfNm7IsMHH9hbuzp+6cAR39jD+xDTG0LiYYXFiMR8JozFCGIzwmIgYWmxULCcikobQ6InMsHGcfsr5o/WZK95/952YWGZ4DCM0NDQ4NOTtCNpbkcy/DAyjhgJ/ThK1u/0XJGFYAPDXSWKbVTyLlt+gZFtULJde+CCf93u27NjG+K8z4k5/uBIwNw7dGKBPezoDmB8A83d1AqAkiftJvJukWplewB5BRyV4z3p+ybIeWXJv79QrO8dcLEm/XDL6atk71z+ccX3nvOr9W1sv7MZqf4VH9eB7BL5OeNZQvXNylZpvNYiqlcjVbN6pTPmnq5MrT38MeBsEngDeDSSK+3tQFO17bafbD2gnZjl7Y/fiC6rUO9r4KmOS9aOh5SVJt00px/NEZ0rHtd7eB11uSt8WwIEkAevpAZJypwTInqaWuwf+ME2o1ie6NEKnBqlR8W8UCs5l8l4nqa8m/WuS3HqhSyP8fyDJfLLkVn6cS8trUNGseoZDza7XCBo+HlayGAkd+J+hLGE4ixOJ8GnyNEbiGEbqO4LhUxUjJo8YOfTYnvwv86ctHYUsnxg3dQQyNC4mTcIVcjjhdGYokxkRGxlDiw2LZkbFclgxMaKIgeP4wYULxueuXrhiyeIoOndAOH1gUFj/4LA3IxhvRrL+Fho9IDz2NVWJWvFvSOp7bKaPJBxHAX/kOVp4Kz/OrhE5VRyzBmnQCm06rlXNcut49cW8q1uQ37Yqjm2M37lUduFgAWBOgKcYBDCAXjSA9nb1yQRINECCj7owJ3BAuwDrAOwRBLzw1Ey0VuBNdzHvLaLlFtl6G7rqwe8E3ANEC0AHwDMUfwJPqx98Or1WL7fqBGYNUl6AXMmR7lspPlg4FTqroNMGeCdgT4H0AxBPu30YwNMuHAiAwMPn5l9sp7XXd837RTvmtDr9F8O446Z3bv6w+bnjFOBNQGIBHHow8BMvFEKEn+x+DngnPLx7/qOFN43DavVyh1bs0AqrNfwbhcjZTN7+jSlky78mKeB5fXdr1AmcasF/mySyzXzSeLsgvlGHmNV0m4FJkVT/0VDjQm5o/zeC6NxQOiOcxYkRJkZLh7BSxwuHTx46adbYMSN++mTzJ5njFwxjZExJWDBBNiIuOglhIExmBIMVzmSFx0TE0mlh0cwYOocRFcULfXtqPF2/avqq2VMXL15K5yv+FkLrNzDs7aCwv4Uz/hbBfDMkekDEa0q3SpWcIun1s9srkl7du5EEjvaRRDxyHy28maewqUROFcesFjRohU4j36Fh2gpi7Cr23WzupUz+1aK0w5sTtq9SVPxaBpiLxNp7fc9J6ghNooD1ABGgEl58JPRigAVIMkAASvXJ1KLeeusG6AJ4BvAMhyd+/HEvtAegywfdAK6KfQtqjUkNKr5NzasvZN/NE5zYIP5ydcK1bwsAdUGgCbqbgOwCwo8DdGPgB/DhQGLdQLQD5iIbLz8t//FJ+aGOqp/a609Cdx3AIwBfLwZ+gB4CMBIwDIDEwNcBPa3Qa/ecKzmWm/zAmGzWSxw6qU0nrtbwbxRyz2Yi+zem/PkUgPiXJNl1wpd90oN8ziuSiA4MqNCdv++TXpDk1iJmTazNwLSrWA0qft3OIcaF3JB+b4TQuaGx9DAGK5KriBCm0BNHIoPGjJg4fdzowfu3rdyxbviCQdHr3k1Y/q5iVEJ0Ep8uYjNjWKwwBjM8Miw6NioylhETy2RERwgi+s0fKtydn7F81vTJU6bLUkf/72DmgNDofsGRb4Ux/hJKezMoon9I+N913PXGhDqNlCLpTi7vygbW6ySROAHE35OEt7uPFt/Ii7eqJQ41r14jNOtEDSqm18Cz5Ye71SyzWnh9C/dmgeJCbvyPGxU7loqrTpYA7gb/Iwh0AYkR/h4gUEo5T914Y31h3S9el6RMQShJ3XAB6QO8C4Baz0h4hsHTXuIx9NbU7l9RaUhuUPE9Or6zmFmVw7iaI/1xrfyTlUmtN74F1AFdDvJ5E0AvRuABgG6ATszXg/aSWC/4nwL6FLAOCDwEvBPILgB/d29XACAA4HvxkQI+HPO1g98LflfvnW8uqYff0SkoNYhdL7fpZLUa/q0C7rnNgu/WD/pHkv6+JlXvnV+u4dtKRBRJDhX/T0l6ePMwEB0oBF4niaC8l0Sb9YTxTkFco4bXoI6x6hk2JbNeidR+ONg4jx3y1hvBMdywaHoYjRnJloVzEiJFyTRZcsqIMeNHJh8qXf7xhuGrR7O3zEpbMUU2JjF6sIgpQ7g0DieMwQyLCI2KioiMjoqKDOfFRshpQbPTuD+W5RdlbpgzZ8nQCXP+VxArKIw+MCT67TD634Jj+gWFDgwK+bspwEuSalTi2zncvyMpEKBIIgiCIokgCMDbG48U3ciLt6jEFEkNelG9kvGwTOgsjLAXRLn04lq1pLxYdjVHcmwt52hm4o75/Jvf5EHAC/52sqsTCAJIglJXErgPJ/w4SfgJan78mmq57wcjAcUJH074CKKHIHpeZFz1AuE1H1p/X5ds10vbTKJWDashJ7o8X3Rui2JvhuLLzWMf3/0BMDfg7UB29/p7AgA94PcB2jdn6nu2AAXfc3/XUxTFezHqSQPAAEhACbIXRwnAMYAOIFzP7h64apparlU06Dg2A9duQOy6OKs+rk7Nv5PPPb9JdGDdEGiqArz3nzvul2e3Cq3AViKyaDkUSa+f3SiS9i5Lep0kkiQBIwHD/5Qki45uK2bUFfNqtw8yzGUF/fWNoGhOaBQtNIoRSpME0aTh/Di6OEGRlDohPfHHsmWfrh+65V1R/tzBSycKxibFDJNy4vg8BocbyWSHR4ZFRYZGhAczokNFzPAUbti0+JgTuzTffPpJQbFx4qyVb/SjBYfRg4OjB4bS+gVHhoWEhwaHvJpMlhdL/2uSCAwn8X8mqfh6boJZJbWp+XUacYNObNfzmoxcV1GkoyDCqeE6DDKrIbFcFX+7KOHMOsGJ9XEfzWAd3DrNV3sFAs8In88fIHwYTpB+gN4XyYMoCgEf+iwAPTj4cUBxwHDA8D6Rz+uCLyADgPsI6Gm1/ph9T5PaWBLXZuR36FjuwpjaAu71PPmxrNQv1g7euX7so6rTgLY8f+QCwJ77uzHoRaEbxTGCuk8JkIAFgPQDYChGUNWo2weBQACgC7DHgPUA2UX6nY/rjp0rmfNrprTlQ5lTGezS0xwGnkOfaNUlNaj49/O45zdKD6wdTnorAe8lAA1AgAQUMD+l5CaIVyTZS8VUx+1UC14n6X4e+7fN4v8bku4W9u1uVj3DrmTWFfPqdgw1zGUF//WNoAhOSCQ9OIIWFCnoFyUMYYhpAhkiEk8YEXe4bMlHGUmFs+T5s1MXjeGOS4gcLmUpEC6Ty6PzkRhadFRkCC1qoAyJUbDDRsliFgxmn/lM89PXe7bt2D1j8cY33owODaWHBEcGh8UODAqPCgmJDBkYEvyKJFm9IalGI63VyiqVopvZvIsbeV8vF3iv/wj4M/B3A+oHnHogm9KvdQPW1Hik6I+85Dq13KIWULub08i3FMZ41Iw2I8+h5ljUiE0nadDJr2Vx7hcnXtwoOJkhOrAi6fNVo6/u30G2NwJBFZVngLcD3g5EJxDdJPSQ0EtCLw5+DAIB0h8g0RfGcMBfboEogB8HPw7+1sYjW+7rExvL4j0a9mMDu0XHtBZxHxRJLuTGH81K/TwjtXR52v3jOwHzgL8F4BlOPAboAsD6cokIINEAjvn8qA8H8BPQS6WHkn4ItALuBawJnteaL366v2D8+aLhlpLBDbkhHWV0rz7Wqec5dfF2XUKDSnA/F7m4QfL9B8NIzwNAu0jCj5MBElAS9QGBQcAPeC/02Kr2zH+gU1hLFWadwGkQ2zUCp05g1/MsOnathnMnn/trpnjP8rhHNw8C3kKSz/tEzDgKBEqSOJA9gLfYTxrvFCe4DHyrhubQ0+3K2Bolp/bjkYb5/NA33wiO4gRFxQ6IpPWL4r8Zwf+PUHoog0ej0SYOEh02Ldm5ItGwIKl4Qer80eyx8VFDJAwZh8HlsvlChMWKokX15zNCh8ZxkjgDpqWy1r+jOPu59rtdn2g0ZfOXZ7/x1+iQcEZIcERIaOSAAUFRIWERQSGvSLpfKKvRJlRpZLV6eYVG9nsu/8xm8b6V0taLX4LfC4EO6OkAvAvQToBOINsB84Kv1ntS+btyWIU2uUEntWiEZhXHpubZNYhVxbUoOTY1z6lHGo18hwGpLELu5QtvZguuZInObJD+tCb+6zWDv1g3tupoWXf9b4B5AW8B/DGQT4DsQtHnOObDUQxHMRwlMGoqHgCcasN9fujpAt9zQLsA7QS0HboqGg8urC9TNJgEjdv4Dg3dbWA3l4jrlcidXN7VHMnZTNmBDPGeVXFHNdOaL+8CXy2gLoAOgG4M7fH5fAEUx17scn6cCGAoSQQAuoHsAMILPdX+659WfDjr2Abppdy4etMgm07i0DCbSzguDcOp4Ti0YptG2qCUPMgR/LGBf3RtCrSWQ087EL0AKEkEKFU7YE/A54buitp9y64Vp5jLBtdqZY3bkuqKuI06xK1HLFpOrU54tYB/Olv26XJhT+UBwGxAtALxBPDngPcC4SfIABDPIeC2/Vx4VZVgMQo8Ro5TGeXURNUZkNs70vfmjhuVJEpOG5Y8cqR0eDo/bRQrcaQ4/Z3Uce9MGJ2+Ysqwb3Pn7Fo55JMPhmfNEL8/ijlUHjZIwkoSIXIeJ1HMVfAjxYwBCm74+BT+u4kRMxNDtk5PuPRd2YWff1Yry+Yty3mjHz04hh0cGfl2/7ciIiJCBkaEBkUHB7/QcVcWSuo1ilq1qE4vrtKIruch57aIDq4WPzlXCq5LpOX3gPUG4b3/zP5Hr/cG3nQV2q5C0y+en7OuqIbeLpZVFfNsWsSl5dnUPLtGYFELzCq+VcNzGRC3gd2oZ5k13Bolr7yAezcPubaVf2Gj4NQ68dEN8Z8uEHy7eeT5nRn1v3zaZb0I3TYgWoBoB7wTiGeAdwHeBXg3EN2AdwPeBXgnYO2ANoHfAW13njw4XHOi5PaXK2o+Sq/UcC1GgXuH1GHguQxIk0lkU3IalEhlAf9OrvT3bNnJDbIDGeKD6xO+zxtf/cuO1ppT0FkLeBPg7YA9gcAz8HdCTzugnYC3A94ET6vbq4/fO2a89PHSs5nx17PE9/Ik1cWyBo3Erpc0GgVuk8Ch4zp0PLtOaNWKa5XS+zniqxv5J9fJofYo6rpKNJX7W6q7m6t7W2ux1gpovgHN58H5o3Xv3NuqxDpDfK2G37Qj3m0SOlQst45nUXMrVcgtleRiseLbDwTOE9ngPQtNl0nvTbzpPtpcGWitQdtqobUcmq66D2+9Y0iuVjMs+RGuosjmEqZ5u+zerknb1w4fnSwdP2HK8MlTkiZOHvzu3NQp80ctzJi6eMXiWTP0GXOO6VbsWjF028q0de9xpw6jDZZHDFJwk8W8eB4jRUhPEkQkICEJnPDxCcxpicFzkgdmTpX8cWjn1VOndn/y7eyFWW+8GfNWVOyA6PD+A98KDw8PGhAdHMR4RVJtAWLTiM0qjlXLMatZD/Jot7I5v65j/7hccHTj0H0rUr9eN/LrTWM+WZ22d/PwbzKHH8oa/pt20u/KIbeUCXV6qU2LNOo5DhXDoebY1HyrRmhW8a0a/guSGE4Dx6Jh1SsZdUpOVRH3Xg7v6hbkYpbwj8LUoxvk+1aKv1idsG9z+iHVtLOfZtw8VGC7+JH7+hftFYe6Lcd6LCc7a35uufOd6+oXVaf0t7/P+e2zpcdNUw4r048UDTmuHHxOlVihja8qRBwGRcu2pEatxK0VNRsUjWpxszHRXCy7ly26mSO/kpt4dkvc0Q3yH9bJv1jE2b824UT+mAumOXc/X2v5Ue09vaP5l4+bznxo/Unz4Iv1V0rm/Fo47nT2kFNZiWcypec2Cu8WJdQaBlWp46pUYotBatMLa4oYdoPAbhBZDRKzXlGtVtwrkP6RJfx1k/D7DyTfbUr8NnPo3qwRX2SN2rN1zDc5Iw9tHXyuePBd06B7SkGdhuMu4bq00U5thK0otFHJaNLxHWpeVQGjSi28WSA49gH9UnHq4Y2J329IPbRh2IEN6Qc3jvwhc8xPW8YezR7/h2nOpcIR91VCh57tVdMeGzjNJt49JfJg16yyjHGjEuPGjJk65t3ZcSPfkQyeIhrynnDEFMXQUUMTpaoV7/1YvODDZYM0C+OXjWNOSI1Ok0UOiUdSpJx4XmyiIDZJGDVIShskoo1PYM5IDl0wKHTjO4KbP3xy88yZ7/efmD533Rt/jfxLWOSA6PCgkP5hYWED+0f9PUlFfLtObFZxbBq2RU2vyY+pymfd2My6kiU5v0lxNEN6clPK8U2JP30gPpklP5kp+XVr/NWi1Cp9sr0k3qlHHCqaWx3jKIxsVLEdap5DxbeqELsGcRkQj4HZqKM36llWDcOsolnVLKuKW1/MK8/j3MnlXVgbc2ET71Ju3MWilONZcV+vRPasRL5ZL/98Je+LVcgXq4V71oj3fiDbu06+b61831rpN+ulBzdIDm8WHt8qOpsrvFQkuqYW39NI7MYEp0rapI9vM8R7lKImteSRPq5VJ29UCm1FInOxrEEdX61JvFOccC1fcbVAcXmr+Pwm5MQa9o/LGT+t5B1ZI/1hlfi7JbwDy/g/rECOrkZOr0EubOBdyURuZiN38gTW0kE12oSKYmmVSmzVy52lCleJ1KEXOPQCu0Fg10usBmm9VlaplN3JE17dgvy2iXlmM+vkJt7RTYKfN0uObJGd2Cr7ZYvwUjbn5v8h673i46quxm0BbmrT++ln5syZ3nuvGvWZUe/N3dhgwFVWGzX3SofQQkJJCCFAgFBT6MUGV8nqbhhjbIOLZEvygpbzFgAAIABJREFU/i6UhLz/b37rai7O1XPWXnuftZ+1ETrZMyc7hM9tFZ/t45/tl4x24RO99FC3/FArcrSH/nQz9uE67LXlojfukb6+mv7LKsVrK5VvrlK+vVr5/r3K9+/TvrfO9Gmr/mSPbKJbdGoL73wXcqpX9kWb6pPdZamGkAZG5JQ1kFtuiyTV9iKdt4R25altLq9ZuX99/csdtbtbHFuqDE05VMgktmoldgNuUiE6mcgkFxkpoUODOtVoSCsqsXAaPYJ78uWfvbz/8zffeOWF1xPlK9LShQvYfIaQx+Yy2Gx2dqaAzUIZ7P+QdKhdfbxXdzxFn+yRD6bwY+3w8U7ym43415uVn27UfLxB91mr6V8bNf/aoPiyQ/XZRvJgm+Kr9ejxLehIu3hoE2tiC/P7FP98DzTRDo134uOdxEgHPpYiTvXiZ3uRU93QaDc20IGeaEeGUsRINzXURQ20k8fayKEe1UC39khK+1W7+tMtqn9uVn20SfXBeuVH96s+uk/5/hrFu2vo9+5RfbBW8491hn9tMHyyUf/xOvUn98s+vQ//4gH0cCsxnFKc6df8uNX4Y4/mQrf6h5TifIf8Qkp+uUf5Y7f8TDt+tkt2ro8+06ccTsmOtGHfbIK+3oR+1kp+2aH4qkv7aYfmH62qj1o1f2/X/6PD8P5G1Yeb1R+3qb7oUB/sUh/tVQ9u047s0A30KI53yAY6paN99Kk++UgXMdqFn+6TTvQQEz3SiR7peI9stEd+MkUda5cebsW/3YJ/vQn9bCP+yUbq402qj7doPmtTf9mmOrnNdLSNHO2VjaTQ45t4A1t4J7bwhrrRE93U0R7F8a2qQz3U0Z2aTzrxb7ZpP9yE/7ON/ker4u8bFf/YQH28Qfb5JulXrcQ3bdKj3brBXuVEr+RUB2N8feZEK384JTvY5/j8wcZ6r4x953wOG6P1HqU1bPQUGz3FWm++0ekuy3X8fsfq37WX9dcb74urGiLKoAmzaBGLFtHRfB3FM9AiNSE0KzGHCvEquAk9o9ktWFes+uzFfd+888ZLz72cKG2Zz4QWcfnZAi6by2IymdnZQjYb+ZWkrzp0R/pMR1LqEz3KwW7qeDs22E0d2UIc3CQ91Ko80qE93K452Co73E4e78QPt4pHe+Qn29FzfbLv+7FzKeG5FH98C3uklTfWgYx2EiOd1HAnOZoiT/WSZ3rR8W50uJsc7CAGO4jRlGy8Z25aOTnaSQxsRoY6iJOdshMdssEUPdSvOd6t+GYj/vV9+KF11JGNquOt2uOt+sObNIfWK795gD66ST2wRTvSoZlIqc90K8920+dS1Pddsgs99IVu5Q/d8vMp6kIPfbFP8WMvfT5F/riV/r6PPNONTaSQ8R54vBc51Y9NbKeOp2RHOqlv2oivtpBftMm+7JB/3aX6JqX+qpM+1K062qs+0a8+0as41iU92o4eaYWHUsRor/TfboJufKILG+tARtqgM93/uRXTI53olY32Soe7yZNd2FAHeqIVOroZPbKZ+G6L7Lst8iPtimOdisFO+vgWfKKXPt1PT/RS4/3ykV75SL9ysFd5rFs+tE11rE9+bCv1RTtybKfmUC/9TTf9TZfim3b5N23SQ6344S3o0TboWDt0cAPv2GbOWEf2uRTzfCdvvAM6nqK/7Pe/t7vOCs1jzLuLkOoFmIIJUwqTj4+pcZUFQuB4QP1kZ81vNuRta7Euz6GK7LjXKDVrCYNKopSxdDRPR/NplG+QIz4jEdYLS4ysJhd/c1L396f7Dr335lMPPRrLK09nwxk8QRafx+IwGQwWkyn+PyR90a4/3Gc+0qM73qcZ6FEc7ySHe+jjHbKBLvpEp/xkt3IwRQ91SUe68OEOyVgKGehAj2yCBjux463CgTbheC822ImO9SsGuuQnUqoTKc2JlOZkt3KkXznaTw31kCPd9EgnNdJJjaeo0yn5RBd5qpM4k5Ke6sLO91MXtipPd0tHOrGxFDHShQ+2YSOd9EAbfWyz/PBG2eGN8mOtysEO7XBKN5zSDXepR7uUY13y8RQ195xTncSplPRMH32qhxpPSU/302e3KU/1ycf6qJEecqyfHN9KTGzDJ3bg4zuQoT7RQKfwVJ98rEs+0kmN96m+32U+u8s00qs43k6M9CqGuuUD7eRgGzbUhk90ys71KM5vVY51k8O9+FA3OtyFjPdIz+9Qnd+hOt1Hne6WjneT493keI90rE822i8b7iWHu4mxFDbWgYx04KMp2WiX/GSnfKiLHu1RjaWUYynlUDt1sk12okM20EWf7NWO9KjPdNOnOvBzvdLRdnioHTreLh5M4QMpcqhHebJbebJLdbKDHmqnhtuJ0XZsuAOe6ENPb5Wc6mFOdDHHOwUnu/Bve4yf7y7obTTLeWkYLFSZrCIplSWBMJWGKYZIpV4s4i4tcz3XW/PkxtjOZa6GgCyiR516uUlH6dQSuYyppdlaOU+G8A00HrJSBVak3MRpsHHaSwx/e7h9+NP3nty/z+kMLmQIMrmCLA6HyWYxGCw2G2KwJb+S9GW79kif+Wi3bqBXc7JbMdBJjHRTgx3EaJ9yoFM62EEMdKBjKWysXTS8mX22Fxntwoe6pKe2KQY7scEUNtpPHd6CHk/RxzoVJ1KaEyndiZRmqEf1X5JGe+TDKfloSjbWTY11kWMd2HgneqobPdONne1Bz/TiZ3rx033EmX7yVC8+lsKG27GRLuloSjbaIx/rVY72KEa66eEeeqxXOdZLT/RSp/vlZ7dSZ7dSZ/uI0z3YRA9xdrv8VB81lMKHe6VjW+VjW+Xj2xVDfeToNunEdmpsGzbcB430ice2ik9vQ870kOd65Od6qDM9sokuYrwTneghzm6lJnqIuct3czacc92yc53kRAd+pl821o/PKVMneoihdmSoDR1PSU93y8ZT0vGUdKybHO2VjvRJh3vJ4R5sLIWMdYonUsipXnKihxjtwsdSxOle+WgncX67djxFj6XosX7NcK9qbKtutEdxrpM82yo534WMt/JH2wVnetHRLnikhxzppka6lcMpxVAXPdwhG24nhjvQ4Q54ICUZ6UdGeyQDneKBFPltt/6TPt97uyqSFo6J5tIqKUMiSReL0hjZ83nsTAGHyeKIOYtSq4te2lW/c7l1fak8YYGjZtqqUxh1Sp0GkcuYGpqtlnMJWGBSyjx6LM8iLtEza0zMrnLz3x5qvXTii5effkKr1d+Vychi8zNZXCaLw2By2TwomyX+H5I2yQ53KAa6lCc6ZANb0OF2bLSTGO0kTrajJ9vRwTb4xGbhcKtwokN0pl0wtpk32gad7pUPtsEnWiUnu/CxPurQBslAJ3W8VTq4RTa4RTaRUo21k8Nb4B+2UyfbRMO95FCvdLiXHOohhnqwoW54qFtyMiUe7UPO7CLHt+NDvdDodmxsBz7UDw92i8d64JEu8Vg3NNoNnewQD3dB473YcA801gOP9cBjvdBEL3yqD5rolZzqEY+nhGf74YleeKwbGutBx3uJsX5ytFc60kOO9kontsnGevCRlGSiFz7VI57oFpzth8/2oad7kHP92Jmt2ESv5Mw26Ox2eKxHMN4rHOsRnOoRn+6VnO6GJjolE52SU93w6R5krBuaSEHn+smhVvH3/fTgJsmZHmqsDRvvJMY78ZFObLQLH+8lTvVLx/rxkT5oOCUY6uKPpoRj3aLxlHA8JZxISc7140MdwrEUMtqNHNssGO0jJrbJBtqEE52SwQ2ss73QmT5oYAt7qEd4okswshUf7CYG+6gT3dThdvxIG3KiCzuRQr9rh75qw0/sMB3pNvxzPfVtv/vkEzW/fyBQbmZgzDQue/4iLvNOHu9OnuBOHm8el7WAtYiVvUiNMp7dtuSZruS+1a4HSuhSJ5lj1TrMBp1WqVbCSjlXTmSScJYMg3RyadhGeeiMQmV6o4WzPpd+/6HWC4c+/PitPzns1oVZTDZflM3mZWaxmCwemwfNSQH+Q9LW4MGdke92Rr/bHvy233t0m/f4Dt+RHd7BfeEju3xHdnlOHggM7HZ912M41mMc2+0+vtXxXa/lyFbn0N7giT3Bo7v93/a7B/ZER/flDm4PDfR7x3YHh7e7J/Z6x/a6jm01Hd3pObzTe3i768gO99FdriO7XEf3OI/ucX67wzr4oO/Eg77De5xH9nuP7Pce2u38dpfz+B7X0R3WIzttR3fZv9tuPbrLMbjfe3yfe3C/Z2Cf+8Re14m9ruN7nMf32k/sdhzfZR3a7zq5zzm41zW4xz2wzze4LziwN3RiT3Bgb+jk/sjALt/ATu/IvsDIXu/wTufwHvfQvrmneQf3e07scww95Bl5xDOw3z6w33l8r/34Hufgfs/gfu/APt+JPf7B/f7je1wDu12Ht9oGdntO7gmMHsgZ3hcd2BU8stVzZLvv6A7/ke2+wzu9R3f7v9vlO7jTdWi/5+s99oN7bIf32o7ttR/bZz22x3Z8j/PYbueJ/Z6ju91H93lP7PMd3eM8vMt+fI/r2A7nwG7Poa3mb3dYhh72n3w08N1e58HdzkN7fId2+w/uChzcFfh2t+/IPv/Rfd7v9vgP7ox82hf9clvxdwfq/7mtYk+9KZdKF9yRxmcsyOZy5/F4aWxeGkecAZFCSk7ISQUmqIzq//zg6qfbCvua9avzZYU2ImTWWAx6lUohl8Nyikvh2RicTaKQjiYCZjygZuRS8xvM7Pa47sOHN1/89r2v3nu1orSYxWGnZ7MYHL5QBDPYgnQG5/+Q1L86tn1N7va7Y9uWR7YvD+1YEd6xKrJ1Zbh3RaBnuT+10tu70te/0rttuWfHUveupa4HV/l2NJu3L7b1Npo66w1blzoOrAnvWOza0+LeXmfeVW98ZJnjyTWeN/vLnlzrfni147G7I4+syHl4efjRldEn1+Q9dV/+0/cXPPNA4bMbiv+Yqv5jb/0LnVXPt1c921r++Prk4+uTD91ftHdN7v578w+sLdh3T97DDxQ/ubn08c0lT24ufWJTyaPr44+sK374gaJH1hU/uj7x+Kb4k5sLn9iU/8Sm/N+0Fj29JflMW9kzbRXPbal8trXiuS2VT28ofWp9yXObK57ZWPrU/fHfrEs8vD7+4MbEE20VT3VWP9Fe/lRX1bNd1Y9vLnlkQ/zA/YX71xbtfyB+YF3J/geSe9cm994X33Nf3hOtycc2JR/dmNi/rnDryvCD6+P7H4jvWxc/sCH54MaS/RtLHtxc9lBr+f7NpTs2JPs3Jbs3FPasy9u2Pn/XxvzdG/L3bijau6l4xwP5D24p778nd+va2CPtZbvuy9m7NvToxuJtyyNPtlbvu7945z05D20s2nZ3sH+lf+c9kYfXF++5J7Z7ZXTfmtiBNeE9yz27Flv3LLY9ssz34GL/rprg+pihUJpNLUgT3pkGcfgZDOECHpZNqCQGN2oMiJVORGXWGw0KSfbm5ujr+1c8uTHWWa1ZGsXCOsimkRq1GqVSKZejcpmQwtg4zJLikEaBhWx4vlUQIe6o1TG7k8YP9q+7dOjdE5++VRGPoijMF4gyMllMFp/JETK4QhZf/CtJsDgDEqVD3AUSznyIPR/iLoD4C0X8BULBPIl4vhhawOelcbLTWOlpnAVp/PlpooVpovQ0iJEmYaYJGGns9DRRdhorLU1wV5rorjQsPU3BSXPJs5eWu51qhkGWoUOytWKGVszQI2wLKXApJB4N4tEgVQXulrJYS0VubTxcVRhI5HhyfZaI22Q3qAxq2qSlLXqlRa902bRBryXoNeXneHMj7ljAEfbbcvzOWMhTHAsm80OFOa6imLM411WS7y0vClUWR6vjOTXxvLK8cGVhbkVutDQaKssJJ0L+Aq8rP+gJBBzhHG9RIlZaUVRSWpAsyU/E83NjoXDI6/M6nC6ry+VweZwOl91qt5mtJofTaDDIFQrUZFEGQva5cLhNDrfJ7rHaPVaH1+YOuHxhrzvotfqckEoqpBGhVCyWCVCZgJSLKAWiUJMGq87ps6sNSqVGqtHgiCRdjmULWWkaJYkiYopCcJxHSrkInIEimTq1xKCSyKAsjDtfLlhI8e6E0tOEd6VB89P4aWlIWpps/p34vLuQ+XfAWVlCpiSLiXNxI1/hhMx+zBaBdREuaWeJFSKB2ExkP7i+9KWe6kfWBLeUqZsDmF8ltKpJnVatVCppOUlLJXKMTyAcGQGraTjPS9WEpTHpXRXKjK64/o3+lT988drp7z6oTkYUNImieEYmKyuLx+SImTwRQ/A/JGEkhOBiBBYhsAhFIBSBUEyCYBJMhvARDpOfyRJkCIRMiZCFCXmEWCDkZPH52VnZiwQirgASpmdncXhsSCLiZGdAXBbMZ4p5DJNJtXxVs9auIbRSQi3FVSShllJ6Wm3VGjwmS8BmCzmKahLlLdVlzVXFtSWF1SXhkiJ7TtDo95v8MY0zpHOHjb4cayDHm1sciZeGixOBgrgvr8gTzXeEY85QnicnHimqyCutDxRVBIsrwomq3JLa/NK6wvKG4vLGRFljrKCiKFlfmKjLLayK5Ff5cko9kaQvv8KYV2SOlwSq66MNLeGaplB1Y7iyyR2vshdUGKMJdbBQE4prIgk6VCTz51PePEtOicodldkCukC+MVJgyY0bIgWWgqQ2kq+OFCgC+YpAoTZSYsytMMQq1aEEaguIDTahyiBR6jCVTqozKcxOtSOgsAXVnhyVI6ywenVme6Ik+eLvnnnyN4/27DkgVutxgwHRqhCdXG7ToGqS0MhUFg1CwmKYT5ISKS4U8RbxmXdA/IUyiINwORBTjPFxHMJghBQiWh5hYZE2qSufCuRxVJaFQp0Ad6r0IZfFtrjI+treZb/dVLxvqXtTkarWifg0IpdRoVHTSqVSScloEqMQiRQWSHFIIRPleaVNecqkNrtWw0gV6//Y1jD6/nPnj76/cW2TQoELBCIBH4IgKYMtWpDJzOD8T6ebAMf4KCKAMCGMC2FSABFCGBfhJEMiwjUKmV7NEPLS5t1517wFWRnM7ExWRkYWk8tLu2PefCZ7AZPHhaV8mJy/KJuRzeXzxCwmb356FqU3JhpbIIOZo9JwaBVPqRGqdBK9AbNYZS6H0u/VhAK5zQ3xFUuLli3Ob2rIa2gMVdZY84u0wVypLYqZwoQlTDliKk++KZJwFpTb85Pe4ip3YYUtljSF4sZgsTVa5i2qD5ctcyWWupPLvKUr/GXLg2VLQyUtkWRLtGSxJ68mnGgOxZu8hY3uwgZ7Xr0lr86WaNYVVxtKau3VLa6apY7yxc6KZe6KldbEYn1+oypaQ4er5NFqeayGjFYRkUpZtAq1F9HeEnWwQhurMhbUKKNJfUGlKrfUnKzTF9aoYpV0To0uv0lftFyXt0QZrRfbcnkGD0dl4ynMIpUF1jgJc5By5GnDVapwpSpQTlojErmpYend07Mz0wB8NXwGMnslRqdAZ2LSNGY189VKNiVDDSYuIeMgBETRkJRiCXiZ7GyWgLMgKyODw+eI5AJEy0Gk2TDBlZok+gBuj2XKjXeiGF9rNIVKwgVN4WhZ2O3curr4nQNLf3Nvzq5Gx4YCZblZ5FLwLBpCqZDSNK2QURRGyCQQKRESqJAiuREnUheV1jvFy+zibaWWP7U1HP7z/nPfvdXTulKtwMRCkVAA8/lYNkuYweSms7m/dt8yUSkDIVmInIcqOLCCKaZYEhkHo1GtKV0EpWVlIwrV4lVr//Cntw5+PXjk26GvP/vm3Xfe6+3b3rhkRQaTvyibK4ali9IZXJZQyJewmLwMJtfoi0SqGvkGO9/kYklNfLkNUrsQvRc3+WS2gNId1QZieTUtyZZVieaVBdUtuRXNgeJqa7BI685VOPNk1hjtyNX6i0yhuKugPJSoDsQrAsWVvsJyV27SGi62hOLOnIpgcUNO5UpXYqmzbKW3YpW/YkWwbHG4tCVa2hQrbYwm63PKGkOJWl9xra+k3pWotxXV2pMNpnilrbTWX7M0XLPCV7rEW7LUl1jmyG8xhev1gRpNoFoTqlGGquhQJR2pUEWrtP5yg79MYc8vqFv9u7c+fvbNj5568/1gTbO5sFQfS6pDCUWoVB+tM+Q2aUP1UnepyBrmGp0crYWvs4r0VrHBAVsCsCNHaMsVu4owX4Jw50u0loolS6fB7E0Avhk6I1DaBSqrWGtjy9USvQW3ulCTU6i0Mgk9mzBIaLuQMqULyTuYors4woWQOANF5gnINBa8AIJ5WhVXY1xAqBbKVFkqldRndcRj5kAeRlmlhMZjVD+6ufzPWyseWebbWmleG6FLDEK3kq+RCeVyVC6X0aRchpIyMSKFxCQmokh2wCoscYuXBPA1Pnx3lfPNnqVfv7zz+8N/3dP/gE6Di4UiDluYns7NYgrYYuj/kJSN0wyM5uBqHqnloJpsMc2QyLm4koXJOYS8YsnyL44OTAFwE4Cfr/7bSzwnLr8FQLysJm1ediaDLxQhzGwOm8nLymQxeSJXrMhZWJpB6dhqB4+ySpQeTBckzVGpJUI5YmpvgSFUXNSwonr52prla0vqlhWUNwfzqy2BhN5TKLfnkeYoZcvRegvNwWJ3XlkoXuUvLHflJp2xElskbgoUmf1FzmhpON6YW7XCVthsSyx3la70lS/3ly0NlrWEy5ujFU35tUtzqxf7k7XueI2vrNFd2mguqjEVVWlzS23FVeHa5bkNq4MVy32JJc6CZkOoxhCq0QWq1P4qpb+C9pZJPSVSX5IOlNGOQq0njun9DfdsmZtZe3EW5NUt1ucUq8NxhT+u9JcZInXmWJM2WCd1JkSWAM/s4JrsfItdZHWLrF6RLShyxKQ51RJvgmWJ8Cx+yOKsWrFirsH4y4EJ1OATKq2Y2SPSmLm0DjY4eQojkzRkYTqO1AppfBKVKxNS38kh7uAiaUzWPBhmynUclYWtN7INpkyF4S6UZtJq2u005DhptwHXmmm1Ta3UGXDun3YufX1bxUPLfVuKtU1uPF8nDplIoxqjKISipDQppzCpDEKlKESREC3jBqziAgtvaUC62o/vqnG+s2PFwT9su3Ts7bf/+LBBhWakL+RxxRyOJJMlYAhEC5nsX0liEQoWoWAgMhYmz5bg2SJUiFNsCZYlENUvXzkFwNUZ8PMtcGny9i/TYHD8/PDE95evzZnSQX5pXdpCthCSsbgiFpPH4fCyshh3zF9UVtu89P5W1ODiyHSoxiqS6yl7WKRzS125uDtHEyl2Jiqq7763fPGS0oamumUr4jVNzljCHE6ovAVyZz5mCpsjZXJb1B4tcUaT3oKKQHGtI7fSEEhYouXGYNIWLgsU1oUKanJKF+sj1YGqtYa8Rm/FqlDdGkN+rb9imb9iSbRulTPR4Eo22osbnIkmR7xREy53JZuthXX24rpQ9fLclvtsiWZn6RJNtNqY36DPr1dFq+hQpTJSqYpW0aFyWbBUHiyTuxNKT5HMk1t776brAEwCcP7nW/lVzZQ3Tx4u1eQ2qCL1Wl+dKdysDdbBpjzEGWHoLUyrI8NkybQ4OM5Att7NtYRhbwLyJXmuGNfq5xkslctWzs3c/fzEKGxwCtUWplzD15g4Sr1QbeIrDYskMoHChOgcXJmO0LsyxbI7maIFXDgtk5eNykVqo8joYBg8WYZAGk/FkTlsrrDRbEJoLEvMWSQSMcVQ+rw7yvy6Dx+778Ut+duabfcWqZJ21K0SmRSwVolr1LSckpIEJsVQApHgiAjHRSqZKGRGcw28Jj++OofsrzG/1Fb+2XNt1469NfrFm8mok8fMyspksXniRUx+tlC0kMnOYv/HxMXEaSZOMxCSg1EsCGOKIT6CZfEEKr1paPz0L7f+3ZD6xPMvucL52SIUpjQGd3DJPRvf/fibxuX335HBTVvIFIhRvkDCYLC4XP7Tzzx/5oefzvx0zeTPZWMKudkpt7r4SgNqC8gCBVSwELYHnMnymtWrl9x/f1VLc7K2pqS+OVxSbY4mSUeU9hTBpoDClUsYfdZwcSRR58mvtMfKHLlVtli1I79B5S5SufJdscq8kmZffo2rsMla0BKouNsZX2JLNLvLlzlKmvMW3++tXOIqa/aVL7UU1NoL653FjWpvUuMrMedWR2rvDlQu91QsdZQu8VWv0ubX6QsbFLFqWbicDJbKwuWKaCUdqZCHyxXhCtpbovDHpb682vs3XQfgJgAXr9zMq2hURZJkuAzzV0h91bac5SpnldxVbsqtV0UTDK0p22xbaLbcZTBzfRGxN09gzyECJXiwROjNF7jDQpOzYsXqm7NgegZ8MzyRiclRk5OrMoj0VtjsXCAhhGqTWGOWaC0CWiegdSJKmynCGSJiHkMESXXpXISJSnlqYxquTxMb7kIcRm+5Uq6XoSiHx17Azr6DzZrPymIvStu3ofGtvUueXhfpqjUuy1Pm2TG7GjKqcK2KUipkMilB4DCOQQQqxhEBjouUpMivQwuMkionvDyCdlVoHl4deHvfyh8+f/GXwX+tqU+QEiGPJ2ALJBkcfpZA9P/USRQLkzMggovLOQjBksAcCTwvi3HPAxumAbg6NfPzzZnO/l13ZrIyeWJcqeNhFAsi0u7M5OJKsVQrIlQQqWKwRRmZzOxspk5nOHvuwgwAZy9e09j8sNLIwShYbSCtHqU/n6d30aECS1FZsKK2ZvXquhUrSupqS+rqc0srLcE8Q6BIH0qIdX5NKEHZo9ZoiTNW4syJR0rqLZGkP96o88eNkXJjqMwYTBp9xcWVy2KlzcGSJfa8+lDlClOsyhgrj9audJU0uEsbcxtWupN1hnCSsIRk1qjCmUfbY/pAwhAuidatyqlfE6q721zcqM+vVeZUUaEyebRSGiojAiVksJSOVPyXJLknqQwkqEBB3QOb50j68fJUXmk97SuUhsrk0RrMWWIJt5gC9RpfBWKKigwugdkucnuzrfYMs5Xt8HIsPr41hHkKxc5crj3Mtwe4Blv58rvFd3PBAAAgAElEQVTnejU/OTyg8oa5ck02SaNmh0Bt4Kv0WYScJVUJVUYWoUT1dlRtyRDi85niDC6ctoCVdmeGWCbnyVVpfPJOxCBUh0VSK5clFLBYmdlZWXweG4F4QpZCtOjVvff/MVW5b7lzXVJZH5JFzYhNBRuUhFZFUTJcSuI4BuEYhGMSDBXjmERBCP06NGnHi/WcRrewo0y1s8n6am/D8N8enz31Tf+GlUoClUjgbI4giyfM4gkzufxfSWLjNBunGRDBwyguTLAlGFsMpy3K+PObb1+/NTs5A0ZOneNBhAijZGojB8IZYkyqtUlog0Cq4SJ0Ohtm8DEmR8zlibKyGFqt/tLln2cAmDh/Se8MieU6cyBHarKLNWah2qKJFMt9ubjdGyitXrJu3ZK1a2uXLK5oaCosrwnFK+25JbDOQ7vyVIFiRO/VB/IdOfFwojq3otkXr/YlGlTuAo0/YYqW2WMVem9+QeXiWGlzoKg+kGjyJxujlUsjFS2hsqZodYs3WROtarTmxjXemM6fZw4Wa1wxrTPmLaiy5lY4iusi1asKFz9gKqxXRsqticXKnKq5nDRHEhUq+3cESnFbgdIXVwaLGh9onQRgahZc+OlaXmmdNpoUO3PV+Q3aaL0hUKN2lroLWgzhEm0wH7a6mDojx2oX+wMiXxBxR9WxUsQZE5iDTLOfY/Ey1frk4uVzLenHTp9bIEQxg11q83DlGr5KL1DqmaQCNTpU3oiA1nOkalhlltCGtAweD5GLMIojlAggNFMg4dNmjsLGJk0LWDAkwXAUE8EYTwxzxUI+e0GpW/rarhXPbMjvqTesyCXLPWjQKDEpJRoFpqBJmZSQkjiBwwQOz5GEoWIKFfi1WLVPWaBhVVlY7SWKHY2W1/qbBv768I2hTx/t2zxHUkY2J4snzODwGVzBr6cAXFzBI5QsiOAgUg6EcyU4T4zcuTDzg39+Ojdg/Nnfv5x2x3yZUitCpHyYFBEKlkTKhCmBVAPRZoaIzOIiTI54UXp2WtqdsAS6fPnnyamZMz/8pLP7WBDBQqRcksYMDtTgkjmCtDui9kUTLcvKWhbHq2sKyyoKyyodwRyNzW8NF5tCcUjnFes9Wn8B7QjRVp/Rl6P35niLq8zRUnNOmSlaRrvy9P5ie7Qkt6wpHK/VOmO+/CpnrCRQXB1IVtticV+8IlJeZ4kWqtwhidIglGkQ2ogpzWqr3xFJhMubIzXLc+pWBatW2JMturwafX69PFxO59RQkSoyWE4EyubWuDmSYGOO0hfXRpNN67bcAODGNPjx0vXiyiZdJCkNFNORCtpbZg5V691JpaNAonHx5bp0VMozmHlma5pIPE8qp7wxkcFDOHJEloDQGRa7IwyVrrhpyRxJXxwdEMrVuN6SiRALRHA6jM8XIAxMno1SIqWBMLl4lDYbkolpwzwWTGqsPDGMEPj8BYvS0uaLSM08Fpx2V1Y6RyyCESaXxxEifAmalZWRnZaWavK/2lP1+NrIlgpNUwhNOpGAHjIpYDWNyilcJiWkUkJKonMLHIZKEFSMw1yHXNIUNVXYoWor94EY3l2pfa2/afidx64c/eilR3YY5DJYgmQzuNkcQQaTm/2/rhI+phDgSjZMcmEpR4zxIEIAYfPSs9945/1fJqcnZ8CLr7yWweQKIIwrQjliLIsPZwtxPqlmQLJMoZQhIllCQgxLO7t6U6meRx56+NatW9dvTP145epDTz6348Enth54rHXrXoXdR5hcpNVDOfyw1lLSuHT3Y098evDbr787+tnX3/7zi0MdW/cYfTFYZVV68tW+QtISqFh+74tvffCbl/+y96kXbLG4xpdvjJToggmlJ98SSdpzSyLJmnWpHQ8+9fLv//y3tv597txEoKi8uL7FV1TiLy6NllW37dz3wht/++jLb//19bHfv/r26vUdRnfUGCzOq1uVWHyfvajWW7ZEn1eDOAoU4Qo6XCULVxKBMsxXQgRKqLkFLlgGG3M0/oQhp7RlfdskAFPT4PLlyWRVi8wV1RdU0qFSuSepdycpQ0jhiJUuueeJl/7y+r++/OO/Pnnl8y+e+eCDivvXS+0ByhlBLUGuzim0h1B/DktjiDcvnbsp89l3R2CVViBVFte3/P7Nv733zXevfPBx3yNPlSxexZdrGRjNl+vYmIJHqrNEMspgQ2WyBYvm5+UVvPzSn9794NO/vPP39z/58rev/OnejZtRuSItncMWwMyMhXhm2vNtpS+15h1Y6b0vrqz2wAU2yKeHTSpErSAoGU6SuFRKkASCYxCKiFFEDCMiVMzVwpzaoGFZjrbZC63wCdbnYr/fXDb810euHP3owz884zUZSITg8yTZLH4Gk5vB5PxKEgciBZicC0v/S5IQJuelM5945vlpAG7cvH3uh0sITrF5Yr4IYXDFHIjMEmAMSMbBFDxcwxRLF7ElJpv/NgAzM7dvz8xOTk7OzQu5eRv8fAtcB+D7azNKhx/RmG3RQhGty6uoOz5xdnLurjQA0wBcvHpzCoCjI+dyyxt4cpPcFYV1jqUbOq4CcGFy9hoAi9e1Kd0xrb9A4c4zhJOO3HJLNB5OVP/z0IlJACYBePCpF03+mDOnOFhcFi2pWrZu4+D3F+a2Wpdv3Z47xbh0ffa9Tw4W1C2z5Zfn1a2yFdbYiur1eTUyf4kl3iIPVcpDlbi/FPEkMF9CGiqTRUpl/gRmydMGkvpoSdMDrZMA3JoFV65MxSsaVL4YHSpSRUpd8SaFOerPrdz1xPO/APDjFPgFgCsA/ATAOQAuAfD54HhudbPMFuIqLVyjG3IGWUrdHEkzs+C7wWFMpXn+1devAXB5FlwD/46L02DH48+SBuc8DoRrbajawsWVXFQmgCVv/PX12enbczPsZgC4CcAvt2euA1C2eFlahiCTKeJnpsct2Fs76l/aEOxrMC/JIYssgohB5NTABiWmonGpDMMwBMdRHEMQWAJDYgSWwLAEEfE0ELfAIluRb1qTp1wdgh/IwR69O+e7P+z86eC7X7zxUthhwySoSIhkMrjZHEEmi/srSUwRxkcpLizlITKuBP8vSUtWrrl8bWpqGtyaBe99+C8WV5SRzRFAWLYAEpIKLiJPF2BcTM3HlGmL2Gq94+ixkyMjY+fOfD89PT09PXtt6ubo6e9Hzv144syFD74+IjU4ULWZ0FlyS6tP/Xjl+m1wbQacuvDTq2+8/fKrrw+f/mHyNrg0efvUxeuuwgrCGtD6ckzB3G9Ojs/dt+058LjU4rPllulDCaU3V+vLtYYLc0prL94A1wH4aRI0rVrniBYVVjdrXYGOnfvnVLtXboN3P/ni0d++8OrbH45/f/kmAFdnwYdfHwuW1kcqWnzJRtpboAwk1JEqebBMEammw1VEoAx2xxFPMREoIYIJzFNI2Aq0gaQ6WFy/duMNAKZvg8uXbuQnq1WeHHmwUB0t0YQStDn42rsfXwPgx1vgBgBHJ3544W8fvHXw4PjU1Nx071OXJ+25JYjRwzM6RVZ3FqWaW92mZ8Dn33z36HPPX5sFZy5ffedfn736/kfHTp2/AsDFaXANgNZt+9O
