{"title":"SOFTWARE","description":"\u003ch3\u003efor discovering software solutions!\u003c\/h3\u003e","products":[{"product_id":"storytools-of-testing-how-to-get-your-voice-heard-and-become-highly-valued-software-testing-professional-hardcover","title":"Storytools of Testing: How To Get Your Voice Heard And Become Highly Valued Software Testing Professional - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAntti Niittyviita\u003c\/b\u003e (Author), \u003cb\u003eIan Walker\u003c\/b\u003e (Editor)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eHave you ever felt like your bosses, clients and colleagues make dumb decisions about software testing and quality?\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eTrying to explain to others how testing should be done can feel impossible. But don't worry. You're not alone.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eWith this book you learn exactly how to get your voice heard. You get tools to deal with mindset mistakes your organisation has about testing. And you will find out how to get your point across.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eAfter reading this you can lead everybody in your organisation towards level-ups in testing practices and quality \u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 168\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.44 x 9.02 x 5.98 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 15, 2019\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239139406098,"sku":"9789527339008","price":60.39,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/SmtROXJmbFQvYWNYWEsrWHRpVFk2dz09.webp?v=1777872119"},{"product_id":"stem-secrets-when-success-is-the-only-option-8-easy-ways-to-make-success-faster-avoid-burnout-and-being-overwhelmed-paperback","title":"STEM Secrets When Success Is The Only Option: 8 Easy Ways To Make Success Faster, Avoid Burnout and Being Overwhelmed - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eJeffrey Harvey\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eIntroducing \"STEM Secrets When Success is the Only Option\" by Jeffrey Harvey PE, a comprehensive guide designed specifically for STEM professionals seeking success in their fields. Research from the Harvard Business Review reveals that effective stress management is crucial for 86% of STEM professionals, this book offers valuable insights and practical steps to help readers excel without succumbing to burnout and overwhelm.\u003c\/p\u003e\u003cp\u003eIn this book, Jeffrey Harvey PE shares eight easy-to-follow steps to accelerate success and empower STEM professionals to thrive in their careers. By focusing on key areas such as self-awareness, overcoming failures, developing a growth mindset, and embracing emotional intelligence, readers will gain the necessary tools to enhance their skills, knowledge, and overall performance. Jeffrey's expert advice and strategies will enable readers to stay focused, motivated, and resilient amidst the challenges of their STEM journeys.\u003c\/p\u003e\u003cp\u003eFrom newcomers to seasoned professionals, \"STEM Secrets When Success is the Only Option\" caters to all individuals in the STEM field. By instilling the right attitude and fostering fearless pursuit, readers will learn how to leverage emotional intelligence to maintain motivation and concentration. Additionally, the book offers valuable insights on personal networking and guides readers on how to take control of their own success.\u003c\/p\u003e\u003cp\u003eWithin the pages of this book, readers will discover: \u003c\/p\u003e\u003cp\u003e-Eight practical steps to expedite success, avoid burnout, and overcome overwhelm in a STEM career.\u003c\/p\u003e\u003cp\u003e-Useful tips and advice to sharpen skills and expand knowledge.\u003c\/p\u003e\u003cp\u003e-Strategies to stay focused and motivated amidst challenges.\u003c\/p\u003e\u003cp\u003e-Tools for taking control of personal success.\u003c\/p\u003e\u003cp\u003e-Guidance on overcoming failures and mistakes.\u003c\/p\u003e\u003cp\u003e-Techniques to develop a growth mindset for increased achievement.\u003c\/p\u003e\u003cp\u003e\"STEM Secrets When Success is the Only Option\" equips STEM professionals with the knowledge and guidance they need to advance their careers. By unlocking their full potential and embracing the power of emotional intelligence, readers will be empowered to forge their path to success.\u003c\/p\u003e\u003cp\u003eAre you ready to elevate your career in STEM? Don't hesitate-start reading \"STEM Secrets When Success is the Only Option\" today!\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 210\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.44 x 8 x 5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 18, 2023\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239144780050,"sku":"9798986634043","price":23.15,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/paeT3RxhoF9798986634043.webp?v=1777872147"},{"product_id":"between-you-and-ai-unlock-the-power-of-human-skills-to-thrive-in-an-ai-driven-world-hardcover","title":"Between You and AI: Unlock the Power of Human Skills to Thrive in an Ai-Driven World - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAndrea Iorio\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAn eye-opening strategy guide for business leaders navigating the introduction of artificial intelligence\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIn \u003ci\u003eBetween You and AI: Unlock the Power of Human Skills to Thrive in an AI-Driven World, \u003c\/i\u003e digital transformation speaker and economist Andrea Iorio delivers a clear and actionable roadmap to not just maintain relevance, but to thrive as the technology we all work with everyday changes rapidly. The author offers a three-part framework addressing the cognitive, behavioral, and emotional dimensions of tech transformation, walking readers through the steps to developing the human skills needed to thrive in the modern marketplace.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eBetween You and AI\u003c\/i\u003e challenges you to embrace artificial intelligence as a partner and unlock the uniquely human potential that defines the future of work. You'll also find: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eReal-world strategies, examples, and insights that you can use immediately in your own company\u003c\/li\u003e \u003cli\u003eTools to help leverage AI as a strategy for growth, rather than as \"competition\" for human labor\u003c\/li\u003e \u003cli\u003eWays to lead others with trust and emotional intelligence, creating value where AI cannot\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cbr\u003eThis book answers the question, \"How do we make humans indispensable in a world of machines?\" It's a blueprint to building hybrid teams--human and AI--that effectively innovate, unlock resilience, and achieve long-term success. It's perfect for managers, executives, and other business leaders in virtually any industry.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 256\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.94 x 9.16 x 6.34 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 18, 2025\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239197012242,"sku":"9781394357987","price":28.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/3QaGrLnV-j9781394357987.webp?v=1777872412"},{"product_id":"robot-proof-when-machines-have-all-the-answers-build-better-people-hardcover","title":"Robot-Proof: When Machines Have All the Answers, Build Better People - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eVivienne Ming\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 288\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.02 x 9.23 x 6.33 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e March 17, 2026\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239225684242,"sku":"9781394397808","price":30.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/2hbR_aGE299781394397808.webp?v=1777872559"},{"product_id":"elliptic-curves-in-cryptography-paperback","title":"Elliptic Curves in Cryptography - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eI. Blake\u003c\/b\u003e (Author), \u003cb\u003eG. Seroussi\u003c\/b\u003e (Author), \u003cb\u003eN. Smart\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eIn the past few years elliptic curve cryptography has moved from a fringe activity to a major system in the commercial world. This timely work summarizes knowledge gathered at Hewlett-Packard over a number of years and explains the mathematics behind practical implementations of elliptic curve systems. Since the mathematics is advanced, a high barrier to entry exists for individuals and companies new to this technology. Hence, this book will be invaluable not only to mathematicians but also to engineers and computer scientists who want to actually implement such systems.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 224\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.45 x 8.96 x 6.03 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 08, 1999\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239291285778,"sku":"9780521653749","price":157.59,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/ak1lc1FuS05KNFQ4dXZhSmg3KzNzUT09.webp?v=1777875745"},{"product_id":"patient-safety-and-healthcare-improvement-at-a-glance-paperback","title":"Patient Safety and Healthcare Improvement at a Glance - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eSukhmeet Panesar\u003c\/b\u003e (Author), \u003cb\u003eAndrew Carson-Stevens\u003c\/b\u003e (Author), \u003cb\u003eSarah Salvilla\u003c\/b\u003e (Author)\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003ePatient Safety and Healthcare Improvement at a Glance\u003c\/i\u003e is a timely and thorough overview of healthcare quality written specifically for students and junior doctors and healthcare professionals. It bridges the gap between the practical and the theoretical to ensure the safety and wellbeing of patients. Featuring essential step-by-step guides to interpreting and managing risk, quality improvement within clinical specialties, and practice development, this highly visual textbook offers the best preparation for the increased emphasis on patient safety and quality-driven focus in today's healthcare environment.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eHealthcare Improvement and Safety at a Glance\u003c\/i\u003e \u003cbr\u003e - Maps out and follows the World Health Organization Patient Safety curriculum\u003cbr\u003e - Draws upon the quality improvement work of the Institute for Healthcare Improvement\u003c\/p\u003e \u003cp\u003eThis practical guide, covering a vital topic of increasing importance in healthcare, provides the first genuine introduction to patient safety and quality improvement grounded in clinical practice.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eSukhmeet S. Panesar\u003c\/b\u003e is Honorary Fellow, Centre for Population Health Sciences, The University of Edinburgh, Edinburgh, UK\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAndrew Carson-Stevens\u003c\/b\u003e is Clinical Lecturer in Healthcare Improvement, Cochrane Institute of Primary Care and Public Health, Cardiff University School of Medicine, Cardiff, UK \u003c\/p\u003e \u003cp\u003e\u003cb\u003eSarah A. Salvilla\u003c\/b\u003e is Honorary Fellow, Centre for Population Health Sciences, The University of Edinburgh, Edinburgh, UK\u003c\/p\u003e \u003cp\u003e\u003cb\u003eAziz Sheikh\u003c\/b\u003e is Professor of Primary Care Research and Development, Co-Director of Centre for Population Health Sciences, The University of Edinburgh, Edinburgh, UK; Visiting Professor of Medicine, Harvard Medical School, Harkness Fellow in Health Policy and Practice, Brigham and Women's Hospital, Harvard Medical School, Boston, USA\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 144\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.4 x 10.6 x 8.3 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 15, 2014\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239443558674,"sku":"9781118361368","price":95.31,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/Tks2UUtyb1ZsdkFkeEMwNy9vUjMwZz09.webp?v=1777879249"},{"product_id":"bayes-factors-for-forensic-decision-analyses-with-r-hardcover","title":"Bayes Factors for Forensic Decision Analyses with R - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eSilvia Bozza\u003c\/b\u003e (Author), \u003cb\u003eFranco Taroni\u003c\/b\u003e (Author), \u003cb\u003eAlex Biedermann\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eBayes Factors for Forensic Decision Analyses with R\u003c\/i\u003e provides a self-contained introduction to computational Bayesian statistics using R. With its primary focus on Bayes factors supported by data sets, this book features an operational perspective, practical relevance, and applicability--keeping theoretical and philosophical justifications limited. It offers a balanced approach to three naturally interrelated topics: \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\u003cli\u003eProbabilistic Inference - Relies on the core concept of Bayesian inferential statistics, to help practicing forensic scientists in the logical and balanced evaluation of the weight of evidence.\u003c\/li\u003e\u003c\/ul\u003e\u003cul\u003e\u003cli\u003eDecision Making - Features how Bayes factors are interpreted in practical applications to help address questions of decision analysis involving the use of forensic science in the law.\u003c\/li\u003e\u003c\/ul\u003e\u003cul\u003e\u003cli\u003eOperational Relevance - Combines inference and decision, backed up with practical examples and complete sample code in R, including sensitivity analyses and discussion on how to interpret results in context.\u003c\/li\u003e\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eOver the past decades, probabilistic methods have established a firm position as a reference approach for the management of uncertainty in virtually all areas of science, including forensic science, with Bayes' theorem providing the fundamental logical tenet for assessing how new information--scientific evidence--ought to be weighed. Central to this approach is the Bayes factor, which clarifies the evidential meaning of new information, by providing a measure of the change in the odds in favor of a proposition of interest, when going from the prior to the posterior distribution. Bayes factors should guide the scientist's thinking about the value of scientific evidence and form the basis of logical and balanced reporting practices, thus representing essential foundations for rational decision making under uncertainty.\u003c\/p\u003e\u003cp\u003eThis book would be relevant to students, practitioners, and applied statisticians interested in inference and decision analyses in the critical field of forensic science. It could be used to support practical courses on Bayesian statistics and decision theory at both undergraduate and graduate levels, and will be of equal interest to forensic scientists and practitioners of Bayesian statistics for driving their evaluations and the use of R for their purposes.\u003c\/p\u003e\u003cp\u003eThis book is Open Access.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBayes Factors for Forensic Decision Analyses with R provides a self-contained introduction to computational Bayesian statistics using R. With its primary focus on Bayes factors supported by data sets, this book features an operational perspective, practical relevance, and applicability--keeping theoretical and philosophical justifications limited. It offers a balanced approach to three naturally interrelated topics: \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\u003cli\u003eProbabilistic Inference - Relies on the core concept of Bayesian inferential statistics, to help practicing forensic scientists in the logical and balanced evaluation of the weight of evidence.\u003c\/li\u003e\u003c\/ul\u003e\u003cul\u003e\u003cli\u003eDecision Making - Features how Bayes factors are interpreted in practical applications to help address questions of decision analysis involving the use of forensic science in the law.\u003c\/li\u003e\u003c\/ul\u003e\u003cul\u003e\u003cli\u003eOperational Relevance - Combines inference and decision, backed up with practical examples and complete sample code in R, including sensitivity analyses and discussion on how to interpret results in context.\u003c\/li\u003e\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eOver the past decades, probabilistic methods have established a firm position as a reference approach for the management of uncertainty in virtually all areas of science, including forensic science, with Bayes' theorem providing the fundamental logical tenet for assessing how new information--scientific evidence--ought to be weighed. Central to this approach is the Bayes factor, which clarifies the evidential meaning of new information, by providing a measure of the change in the odds in favor of a proposition of interest, when going from the prior to the posterior distribution. Bayes factors should guide the scientist's thinking about the value of scientific evidence and form the basis of logical and balanced reporting practices, thus representing essential foundations for rational decision making under uncertainty.\u003c\/p\u003e\u003cp\u003eThis book would be relevant to students, practitioners, and applied statisticians interested in inference and decision analyses in the critical field of forensic science. It could be used to support practical courses on Bayesian statistics and decision theory at both undergraduate and graduate levels, and will be of equal interest to forensic scientists and practitioners of Bayesian statistics for driving their evaluations and the use of R for their purposes.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis book is Open Access.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eSilvia Bozza\u003c\/b\u003e is Associate Professor of Statistics at Ca' Foscari University of Venice (Italy), Department of Economics and Senior Researcher at the University of Lausanne (School of Criminal Justice). Her research interests are mainly focused on Bayesian modelling, decision theory and probabilistic graphical models with applications in forensic science. \u003cb\u003e\u003cbr\u003e\u003c\/b\u003e\u003cb\u003eFranco Taroni\u003c\/b\u003e is Full Professor of Forensic Statistics at the Faculty of Law, Criminal Justice and Public Administration, School of Criminal Justice, of the University of Lausanne (Switzerland). He publishes extensively in the area of probabilistic reasoning, decision making and data analysis in forensic science.\u003cbr\u003e\u003cb\u003eAlex Biedermann\u003c\/b\u003e is Associate Professor at the Faculty of Law, Criminal Justice and Public Administration, School of Criminal Justice, of the University of Lausanne (Switzerland). He researches and teaches in the area of evidential reasoning and decision making at the intersection between forensic science and the law. His work is multidisciplinary and pertains to forensic science, law and topics in probability and decision theory.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 187\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.5 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 01, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239446606098,"sku":"9783031098383","price":97.18,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/VFBzYkxqL3NwRjh6bTJSeHZ5V3RyZz09.webp?v=1777879262"},{"product_id":"using-statistics-in-the-social-and-health-sciences-with-spss-and-excel-hardcover","title":"Using Statistics in the Social and Health Sciences with SPSS and Excel - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eMartin Lee Abbott\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eIn the title, both SPSS and Excel are accompanied by the trademark symbol.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eProvides a step-by-step approach to statistical procedures to analyze data and conduct research, with detailed sections in each chapter explaining SPSS(R) and Excel(R) applications\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThis book identifies connections between statistical applications and research design using cases, examples, and discussion of specific topics from the social and health sciences. Researched and class-tested to ensure an accessible presentation, the book combines clear, step-by-step explanations for both the novice and professional alike to understand the fundamental statistical practices for organizing, analyzing, and drawing conclusions from research data in their field.\u003c\/p\u003e \u003cp\u003eThe book begins with an introduction to descriptive and inferential statistics and then acquaints readers with important features of statistical applications (SPSS and Excel) that support statistical analysis and decision making. Subsequent chapters treat the procedures commonly employed when working with data across various fields of social science research. Individual chapters are devoted to specific statistical procedures, each ending with lab application exercises that pose research questions, examine the questions through their application in SPSS and Excel, and conclude with a brief research report that outlines key findings drawn from the results. Real-world examples and data from social and health sciences research are used throughout the book, allowing readers to reinforce their comprehension of the material.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eUsing Statistics in the Social and Health Sciences with SPSS(R) and Excel(R) \u003c\/i\u003eincludes: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eUse of straightforward procedures and examples that help students focus on understanding of analysis and interpretation of findings\u003c\/li\u003e \u003cli\u003eInclusion of a data lab section in each chapter that provides relevant, clear examples\u003c\/li\u003e \u003cli\u003eIntroduction to advanced statistical procedures in chapter sections (e.g., regression diagnostics) and separate chapters (e.g., multiple linear regression) for greater relevance to real-world research needs\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eEmphasizing applied statistical analyses, this book can serve as the primary text in undergraduate and graduate university courses within departments of sociology, psychology, urban studies, health sciences, and public health, as well as other related departments. It will also be useful to statistics practitioners through extended sections using SPSS(R) and Excel(R) for analyzing data.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eMartin Lee Abbott, PhD, \u003c\/b\u003e is Professor of Sociology at Seattle Pacific University, where he has served as Executive Director of the Washington School Research Center, an independent research and data analysis center funded by the Bill \u0026amp; Melinda Gates Foundation. Dr. Abbott has held positions in both academia and industry, focusing his consulting and teaching in the areas of statistical procedures, program evaluation, applied sociology, and research methods. He is the author of \u003ci\u003eUnderstanding Educational Statistics Using Microsoft Excel\u003c\/i\u003e and \u003ci\u003eSPSS, The Program Evaluation Prism: Using Statistical Methods to Discover Patterns\u003c\/i\u003e, and \u003ci\u003eUnderstanding and Applying Research Design\u003c\/i\u003e, also from Wiley.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 592\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.4 x 9.3 x 6.2 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e August 29, 2016\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239453356306,"sku":"9781119121046","price":192.89,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/clVOUWdBZUlCczNFb0NNMExOMWovZz09.webp?v=1777879291"},{"product_id":"design-thinking-research-achieving-real-innovation-hardcover","title":"Design Thinking Research: Achieving Real Innovation - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eChristoph Meinel\u003c\/b\u003e (Editor), \u003cb\u003eLarry Leifer\u003c\/b\u003e (Editor)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eExtensive research conducted by the Hasso Plattner Design Thinking Research Program at Stanford University in Palo Alto, California, USA, and the Hasso Plattner Institute in Potsdam, Germany, has yielded valuable insights on why and how design thinking works. The participating researchers have identified metrics, developed models, and conducted studies, which are featured in this book, and in the previous volumes of this series.\u003c\/p\u003e \u003cp\u003eThis volume provides readers with tools to bridge the gap between research and practice in design thinking with varied real world examples. Several different approaches to design thinking are presented in this volume. Acquired frameworks are leveraged to understand design thinking team dynamics. The contributing authors lead the reader through new approaches and application fields and show that design thinking can tap the potential of digital technologies in a human-centered way. It also presents new ideas in neurodesign from Stanford University and the Hasso Plattner Institute in Potsdam, inviting the reader to consider newly developed methods and how these insights can be applied to different domains. \u003c\/p\u003e Design thinking can be learned. It has a methodology that can be observed across multiple settings and accordingly, the reader can adopt new frameworks to modify and update existing practice. The research outcomes compiled in this book are intended to inform and provide inspiration for all those seeking to drive innovation - be they experienced design thinkers or newcomers.\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eAn increasing number of individuals and institutions have come to recognize the innovative power of design thinking. However, its success story has also meant that the term has evolved into something of an overused, or even misused, buzzword. The demand for an in-depth, evidence-based understanding of the way design thinking works has grown accordingly. This challenge is addressed by the Hasso Plattner Design Thinking Research Program. Summarizing the outcomes of the research program's 13\u003csup\u003eth\u003c\/sup\u003e year, this book presents a broad range of scientific insights gained by researchers at the Hasso Plattner Institute in Potsdam, Germany and Stanford University in California, in the course of their investigations, experiments and studies.\u003c\/p\u003e Special focus is placed on the impact, accessibility and measurability of design thinking. The contributing authors seek to establish common ground, conduct modelling, and develop essential toolkits. The expanding field of neurodesign is also addressed in contributions that explore the neural basis for creativity and nonverbal actions. The results of this rigorous academic research are not meant to be discussed exclusively within the scientific community: they will hopefully find their way to those who seek to promote innovation through collaboration, be it at businesses or in society.\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eProfessor Dr. Christoph Meinel\u003c\/b\u003e is Director and CEO of the Hasso Plattner Institute for Digital Engineering gGmbH (HPI), Potsdam, Germany and a full professor for computer science and serves as department chair of Internet Technologies and Systems at HPI. He teaches at the HPI School of Design Thinking and is Vice Dean of the Digital Engineering Faculty of the University of Potsdam. In addition he is an honorary professor at the Department of Computer Sciences at Beijing University of Technology, guest professor at Shanghai University and concurrent professor at Nanjing University. Meinel is a member of acatech, the German \"National Academy of Science and Engineering\", and numerous scientific committees and supervisory boards. Together with Larry Leifer from Stanford University he is program director of the HPI-Stanford Design Thinking Research Program.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eLarry Leifer\u003c\/b\u003e is professor of Mechanical Engineering at Stanford University, CA, USA. Dr. Leifer's engineering design thinking research is focused on instrumenting design teams to understand, support, and improve design practice and theory. Specific issues include: design-team research methodology, global team dynamics, innovation leadership, interaction design, design-for-wellbeing, and adaptive mechatronic systems. He has started many design initiatives at Stanford including the Smart-Product Design Program, Stanford-VA Rehabilitation Engineering Center, Stanford Learning Laboratory, and most recently the Center for Design Research (CDR). \u003c\/p\u003e\u003cbr\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 340\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.81 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 08, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239467282706,"sku":"9783031092961","price":178.18,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/UjFqWWRtL0l3Y3ZNeTduTTFVVzVxUT09.webp?v=1777879351"},{"product_id":"biztalk-2013-edi-for-health-care-hipaa-compliant-834-enrollment-and-837-claims-solutions-paperback","title":"BizTalk 2013 EDI for Health Care: Hipaa-Compliant 834 (Enrollment) and 837 (Claims) Solutions - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eMark Beckner\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cem\u003e\u003cstrong\u003eBizTalk 2013 EDI for Healthcare - EDI 834Enrollment Solutions\u003c\/strong\u003e\u003c\/em\u003e eliminates the complexity anddemonstrates how to build both inbound and outbound EDI 834 processes inBizTalk server that follow the required patterns for integrations with theseexchanges. Archiving, mapping, reconstituting EDI 837 data, exception handling and advanced logging andreporting (without the need for BAM!) are all covered in enough detail to allowyou to implement your own fully functional solution. \u003c\/p\u003e\u003cp\u003eThe Affordable CareAct and the requirements to integrate with state Exchanges have securedBizTalk's role with integrations within the healthcare industry. EDI 834 documents are the heart to allintegrations, dealing with enrollment and the maintenance of enrollments. In order to successfully integrate with theexchanges, companies are required to implement a number of architectural componentsthat can be daunting and complex to work through. High-quality resources for IT professional to handle these challenges are sorely needed, and this resource has been designed to provide concise solutions.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eMark Beckner is a technical consultant specializing in business development and enterprise application integration. He runs his own consulting firm, Inotek Consulting Group, LLC, delivering innovative solutions to large corporations and small businesses. His projects have included engagements with numerous clients throughout the U.S., and range in nature from mobile application development to complete integration solutions. He has previously authored BizTalk 2010 Recipes, Pro EDI in BizTalk Server 2006 R2, and Pro RFID in BizTalk Server 2009, and has spoken at a number of venues including Microsoft TechEd. In addition to BizTalk, he works with SharePoint, MSCRM, and custom .NET development. Beckner, his wife Sara, and his boys Ciro and Iyer live in New Mexico. His website is http: \/\/www.inotekgroup.com and he can be contacted directly at mbeckner@inotekgroup.com\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 168\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.39 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 23, 2013\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239507357970,"sku":"9781430266075","price":145.78,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/cGJVY0JWS28vOElyYk5zeFNkb3ZsZz09.webp?v=1777879524"},{"product_id":"unlocking-the-potential-of-digital-services-trade-in-asia-and-the-pacific-paperback","title":"Unlocking the Potential of Digital Services Trade in Asia and the Pacific - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAsian Development Bank\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eThis book explains how rapid digitalization during COVID-19 has accelerated the growth of digital services trade in Asia and the Pacific, and provides analysis on the opportunities, challenges, and associated risks. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eIt explores evolving trends and considers trade agreements, cybersecurity, and effective taxation. It outlines how a greater focus on developing human capital, connectivity, investment in information and communication technology, and a positive regulatory environment can help digital services thrive. By underscoring the principal drivers and policies, it aims to build a better understanding of digital services to guide policy makers as they undertake domestic reforms designed to reduce the digital divide.\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 248\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.67 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 31, 2023\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239511552274,"sku":"9789292698621","price":56.16,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/V0lPcFZRT3VjOXlnOXcwNjRGRDZHUT09.webp?v=1777879542"},{"product_id":"mixed-effects-models-and-extensions-in-ecology-with-r-paperback","title":"Mixed Effects Models and Extensions in Ecology with R - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAlain Zuur\u003c\/b\u003e (Author), \u003cb\u003eElena N. Ieno\u003c\/b\u003e (Author), \u003cb\u003eNeil Walker\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBuilding on the successful \u003cem\u003eAnalysing Ecological Data\u003c\/em\u003e (2007) by Zuur, Ieno and Smith, the authors now provide an expanded introduction to using regression and its extensions in analysing ecological data. As with the earlier book, real data sets from postgraduate ecological studies or research projects are used throughout. The first part of the book is a largely non-mathematical introduction to linear mixed effects modelling, GLM and GAM, zero inflated models, GEE, GLMM and GAMM. The second part provides ten case studies that range from koalas to deep sea research. These chapters provide an invaluable insight into analysing complex ecological datasets, including comparisons of different approaches to the same problem. By matching ecological questions and data structure to a case study, these chapters provide an excellent starting point to analysing your own data. Data and R code from all chapters are available from www.highstat.com.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eBuilding on the successful \u003cem\u003eAnalysing Ecological Data\u003c\/em\u003e (2007) by Zuur, Ieno and Smith, the authors now provide an expanded introduction to using regression and its extensions in analysing ecological data. As with the earlier book, real data sets from postgraduate ecological studies or research projects are used throughout. The first part of the book is a largely non-mathematical introduction to linear mixed effects modelling, GLM and GAM, zero inflated models, GEE, GLMM and GAMM. The second part provides ten case studies that range from koalas to deep sea research. These chapters provide an invaluable insight into analysing complex ecological datasets, including comparisons of different approaches to the same problem. By matching ecological questions and data structure to a case study, these chapters provide an excellent starting point to analysing your own data. Data and R code from all chapters are available from www.highstat.com.\u003c\/p\u003e \u003cp\u003eAlain F. Zuur is senior statistician and director of Highland Statistics Ltd., a statistical consultancy company based in the UK. He has taught statistics to more than 5000 ecologists. He is honorary research fellow in the School of Biological Sciences, Oceanlab, at the University of Aberdeen, UK.\u003c\/p\u003e \u003cp\u003eElena N. Ieno is senior marine biologist and co-director at Highland Statistics Ltd. She has been involved in guiding PhD students on the design and analysis of ecological data. She is honorary research fellow in the School of Biological Sciences, Oceanlab, at the University of Aberdeen, UK.\u003c\/p\u003e \u003cp\u003eNeil J. Walker works as biostatistician for the Central Science Laboratory (an executive agency of DEFRA) and is based at the Woodchester Park research unit in Gloucestershire, South-West England. His work involves him in a number of environmental and wildlife biology projects.\u003c\/p\u003e \u003cp\u003eAnatoly A. Saveliev is a professor at the Geography and Ecology Faculty at Kazan State University, Russian Federation, where he teaches GIS and statistics. He also provides consultancy in statistics, GIS \u0026amp; Remote Sensing, spatial modelling and software development in these areas.\u003c\/p\u003e \u003cp\u003eGraham M. Smith is a director of AEVRM Ltd, an environmental consultancy in the UK and the course director for the MSc in ecological impact assessment at Bath Spa University in the UK.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 574\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.21 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 06, 2011\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239531671826,"sku":"9781441927644","price":192.78,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/VzU2L2xCYnRoTWdCazdaa3dIZzV0dz09.webp?v=1777879629"},{"product_id":"applied-predictive-modeling-paperback","title":"Applied Predictive Modeling - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eMax Kuhn\u003c\/b\u003e (Author), \u003cb\u003eKjell Johnson\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eApplied Predictive Modeling\u003c\/i\u003e covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. \u003c\/p\u003eThis multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner's reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book's R package.\u003cbr\u003e\u003cp\u003e\u003c\/p\u003eThis text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.\u003cbr\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDr. Kuhn\u003c\/b\u003e is a Director of Non-Clinical Statistics at Pfizer Global R\u0026amp;D in Groton Connecticut. He has been applying predictive models in the pharmaceutical and diagnostic industries for over 15 years and is the author of a number of R packages. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eDr. Johnson\u003c\/b\u003e has more than a decade of statistical consulting and predictive modeling experience in pharmaceutical research and development. He is a co-founder of Arbor Analytics, a firm specializing in predictive modeling and is a former Director of Statistics at Pfizer Global R\u0026amp;D. His scholarly work centers on the application and development of statistical methodology and learning algorithms.\u003c\/p\u003e\u003cp\u003e\u003ci\u003eApplied Predictive Modeling\u003c\/i\u003e covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations \u003c\/p\u003eof numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. Addressing practical concerns extends beyond model fitting to topics such as handling class imbalance, selecting predictors, and pinpointing causes of poor model performance--all of which are problems that occur frequently in practice. \u003cp\u003e\u003c\/p\u003eThe text illustrates all parts of the modeling process through many hands-on, real-life examples. And every chapter contains extensive R code for each step of the process. The data sets and corresponding code are available in the book's companion AppliedPredictiveModeling R package, which is freely available on the CRAN archive. \u003cp\u003e\u003c\/p\u003eThis multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner's reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book's R package. \u003cp\u003e\u003c\/p\u003eReaders and students interested in implementing the methods should have some basic knowledge of R. And a handful of the more advanced topics require some mathematical knowledge. \u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cbr\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDr. Kuhn\u003c\/b\u003e is a Director of Non-Clinical Statistics at Pfizer Global R\u0026amp;D in Groton Connecticut. He has been applying predictive models in the pharmaceutical and diagnostic industries for over 15 years and is the author of a number of R packages. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eDr. Johnson\u003c\/b\u003e has more than a decade of statistical consulting and predictive modeling experience in pharmaceutical research and development. He is a co-founder of Arbor Analytics, a firm specializing in predictive modeling and is a former Director of Statistics at Pfizer Global R\u0026amp;D. His scholarly work centers on the application and development of statistical methodology and learning algorithms.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 600\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.24 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e March 16, 2019\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239536914706,"sku":"9781493979363","price":113.38,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/dUcwMTcrd1lIN3pSYTV6bDMrdnRHUT09.webp?v=1777879651"},{"product_id":"convolutional-neural-networks-for-medical-applications-paperback","title":"Convolutional Neural Networks for Medical Applications - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eTeik Toe Teoh\u003c\/b\u003e (Author)\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eConvolutional Neural Networks for Medical Applications consists of research investigated by the author, containing state-of-the-art knowledge, authored by Dr Teoh Teik Toe, in applying Convolutional Neural Networks (CNNs) to the medical imagery domain. This book will expose researchers to various applications and techniques applied with deep learning on medical images, as well as unique techniques to enhance the performance of these networks.Through the various chapters and topics covered, this book provides knowledge about the fundamentals of deep learning to a common reader while allowing a research scholar to identify some futuristic problem areas. The topics covered include brain tumor classification, pneumonia image classification, white blood cell classification, skin cancer classification and diabetic retinopathy detection. The first chapter will begin by introducing various topics used in training CNNs to help readers with common concepts covered across the book. Each chapter begins by providing information about the disease, its implications to the affected and how the use of CNNs can help to tackle issues faced in healthcare. Readers would be exposed to various performance enhancement techniques, which have been tried and tested successfully, such as specific data augmentations and image processing techniques utilized to improve the accuracy of the models.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eDr Teoh has been an experienced researcher in Big Data, Deep Learning, Cyber-security, Artificial Intelligence, Machine Learning and Software Development for more than 25 years. His works have been published in more than 50 journals, conferences, books and book chapters. His qualifications include a PhD in Computer Engineering from NTU, Doctor of Business Administration from University of NewCastle, Master of Law from NUS, LLB and LLM from UoL, CFA, ACCA and CIMA. He has more than 15 years of experience in data mining, quantitative analysis, data statistics, finance, accounting and law and is highly passionate about the use of deep learning to improve lives.\u003cbr\u003e\u003c\/p\u003e\u003cbr\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 96\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.23 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e March 24, 2023\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239543501074,"sku":"9789811988134","price":89.08,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/NkF1eXQ2clBkZkpkWG9HWmJFYk9uUT09.webp?v=1777879680"},{"product_id":"swarm-intelligence-trends-and-applications-paperback","title":"Swarm Intelligence: Trends and Applications - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eWellington Pinheiro Dos Santos\u003c\/b\u003e (Editor), \u003cb\u003eJuliana Carneiro Gomes\u003c\/b\u003e (Editor), \u003cb\u003eValter Augusto de Freitas Barbosa\u003c\/b\u003e (Editor)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book presents the fundamentals of swarm intelligence, from classic algorithms to emerging techniques. It presents comprehensive theoretical foundations and examples using the main Computational Intelligence methods in programming languages ​​such as Python, Java and MATLAB\u003cb\u003e(R)\u003c\/b\u003e. Real-world applications are also presented in areas as diverse as Medicine, Biology and industrial applications.\u003c\/p\u003e \u003cp\u003eThe book is organized into two parts. The first part provides an introduction to swarming algorithms and hybrid techniques. In the second part, real world applications of swarm intelligence are presented to illustrate how swarm algorithms can be used in applications of optimization and pattern recognition, reviewing the principal methods and methodologies in swarm intelligence.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWellington Pinheiro dos Santos\u003c\/strong\u003e is an Associate Professor at the Department of Biomedical Engineering at the Federal University of Pernambuco (UFPE), Brazil. He is a DSc in Electrical Engineering at the Federal University of Campina Grande (UFCG, 2009), and a MSc (2003) and BSc (2001) in Electrical and Computer Engineering at UFPE, Brazil. His main research interests are pattern recognition, machine learning, intelligent diagnosis systems, evolutionary computing, applied neuroscience, and artificial intelligence in health.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eJuliana Carneiro Gomes\u003c\/strong\u003e is a Biomedical Engineer from the Federal University of Pernambuco (UFPE, 2016), with a sandwich period at Mercer University, USA. She worked as a researcher at the Advanced Imaging Algorithms and Instrumentation Laboratory at Johns Hopkins University, USA. She is a Master in Biomedical Engineering (UFPE, 2019) and a PhD student in Computer Engineering at the University of Pernambuco (UPE). She is a Professor at the Physics Department at UFPE.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eValter Augusto de Freitas Barbosa\u003c\/strong\u003e has a PhD in Mechanical Engineering (2022), a Master in Biomedical Engineering (2017) and a Biomedical Engineer from the Federal University of Pernambuco (2014), Brazil, with a sandwich period at the Université de Technologie de Compiègne, France. He is currently an Assistant Professor at the Federal Rural University of Pernambuco. His research interests are focused on pattern recognition, artificial intelligence and deep neural networks.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 250\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.55 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 17, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239548842258,"sku":"9781032039961","price":187.9,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/cFF1cVhXSXFuZXNMdHBoVXpsS3JzQT09.webp?v=1777879706"},{"product_id":"survival-analysis-using-sas-a-practical-guide-second-edition-hardcover","title":"Survival Analysis Using SAS: A Practical Guide, Second Edition - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003ePaul D. Allison\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eEasy to read and comprehensive, \u003ci\u003eSurvival Analysis Using SAS: A Practical Guide, Second Edition\u003c\/i\u003e, by Paul Allison, is an accessible, data-based introduction to methods of survival analysis. Researchers who want to analyze survival data with SAS will find just what they need with this fully updated new edition that incorporates the many enhancements in SAS procedures for survival analysis in SAS 9. Although the book assumes only a minimal knowledge of SAS, more experienced users will learn new techniques of data input and manipulation. Numerous examples of SAS code and output make this an eminently practical book, ensuring that even the uninitiated become sophisticated users of survival analysis. The main topics presented include censoring, survival curves, Kaplan-Meier estimation, accelerated failure time models, Cox regression models, and discrete-time analysis. Also included are topics not usually covered in survival analysis books, such as time-dependent covariates, competing risks, and repeated events. \u003c\/p\u003e\u003cp\u003e \u003ci\u003eSurvival Analysis Using SAS: A Practical Guide, Second Edition\u003c\/i\u003e, has been thoroughly updated for SAS 9, and all figures are presented using ODS Graphics. This new edition also documents major enhancements to the STRATA statement in the LIFETEST procedure; includes a section on the PROBPLOT command, which offers graphical methods to evaluate the fit of each parametric regression model; introduces the new BAYES statement for both parametric and Cox models, which allows the user to do a Bayesian analysis using MCMC methods; demonstrates the use of the counting process syntax as an alternative method for handling time-dependent covariates; contains a section on cumulative incidence functions; and describes the use of the new GLIMMIX procedure to estimate random-effects models for discrete-time data. \u003c\/p\u003e\u003cp\u003e This book is part of the SAS Press program.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003ePaul D. Allison is Professor of Sociology at the University of Pennsylvania, and President of Statistical Horizons LLC. He is the author of\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 336\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.75 x 11.02 x 8.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 20, 2018\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239573516562,"sku":"9781635269086","price":145.37,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/T0VvTk4wdndRK05QaFBYbXo1SmVNZz09.webp?v=1777884219"},{"product_id":"analysis-of-clinical-trials-using-sas-a-practical-guide-second-edition-hardcover","title":"Analysis of Clinical Trials Using SAS: A Practical Guide, Second Edition - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAlex Dmitrienko\u003c\/b\u003e (Author), \u003cb\u003eGary G. Koch\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003ci\u003eAnalysis of Clinical Trials Using SAS: A Practical Guide, Second Edition\u003c\/i\u003e bridges the gap between modern statistical methodology and real-world clinical trial applications. Tutorial material and step-by-step instructions illustrated with examples from actual trials serve to define relevant statistical approaches, describe their clinical trial applications, and implement the approaches rapidly and efficiently using the power of SAS. Topics reflect the International Conference on Harmonization (ICH) guidelines for the pharmaceutical industry and address important statistical problems encountered in clinical trials. Commonly used methods are covered, including dose-escalation and dose-finding methods that are applied in Phase I and Phase II clinical trials, as well as important trial designs and analysis strategies that are employed in Phase II and Phase III clinical trials, such as multiplicity adjustment, data monitoring, and methods for handling incomplete data. This book also features recommendations from clinical trial experts and a discussion of relevant regulatory guidelines. \u003c\/p\u003e\u003cp\u003eThis new edition includes more examples and case studies, new approaches for addressing statistical problems, and the following new technological updates: \u003c\/p\u003e\u003cul\u003e \u003cli\u003e SAS procedures used in group sequential trials (PROC SEQDESIGN and PROC SEQTEST) \u003c\/li\u003e\n\u003cli\u003e SAS procedures used in repeated measures analysis (PROC GLIMMIX and PROC GEE) \u003c\/li\u003e\n\u003cli\u003e macros for implementing a broad range of randomization-based methods in clinical trials, performing complex multiplicity adjustments, and investigating the design and analysis of early phase trials (Phase I dose-escalation trials and Phase II dose-finding trials) \u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eClinical statisticians, research scientists, and graduate students in biostatistics will greatly benefit from the decades of clinical research experience and the ready-to-use SAS macros compiled in this book.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eAlex Dmitrienko, PhD, is Founder and President of Mediana Inc. He is actively involved in biostatistical research with an emphasis on multiplicity issues in clinical trials, subgroup analysis, innovative trial designs, and clinical trial optimization. Dr. Dmitrienko coauthored the first edition of Analysis of Clinical Trials Using SAS: A Practical Guide, and he coedited Pharmaceutical Statistics Using SAS: A Practical Guide.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 410\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.94 x 11 x 8.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 20, 2018\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239573713170,"sku":"9781635269192","price":168.41,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/MkJxd1J2MllPV0RoSmR6SDNKdUFnZz09.webp?v=1777884220"},{"product_id":"regression-modeling-strategies-with-applications-to-linear-models-logistic-and-ordinal-regression-and-survival-analysis-paperback","title":"Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eFrank E. Harrell Jr\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eThere are many books that are excellent sources of knowledge about individual stastical tools (survival models, general linear models, etc.), but the art of data analysis is about choosing and using multiple tools. In the words of Chatfield \"...students typically know the technical details of regressin for example, but not necessarily when and how to apply it. This argues the need for a better balance in the literature and in statistical teaching between techniques and problem solving strategies.\" Whether analyzing risk factors, adjusting for biases in observational studies, or developing predictive models, there are common problems that few regression texts address. For example, there are missing data in the majority of datasets one is likely to encounter (other than those used in textbooks!) but most regression texts do not include methods for dealing with such data effectively, and texts on missing data do not cover regression modeling.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis highly anticipated second edition features new chapters and sections, 225 new references, and comprehensive R software. In keeping with the previous edition, this book is about the art and science of data analysis and predictive modeling, which entails choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for fitting nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with \"too many variables to analyze and not enough observations,\" and powerful model validation techniques based on the bootstrap. The reader will gain a keen understanding of predictive accuracy, and the harm of categorizing continuous predictors or outcomes. This text realistically deals with model uncertainty, and its effects on inference, to achieve \"safe data mining.\" It also presents many graphical methods for communicating complex regression models to non-statisticians.\u003c\/p\u003e\u003cp\u003eRegression Modeling Strategies presents full-scale case studies of non-trivial datasets instead of over-simplified illustrations of each method. These case studies use freely available R functions that make the multiple imputation, model building, validation, and interpretation tasks described in the book relatively easy to do. Most of the methods in this text apply to all regression models, but special emphasis is given to multiple regression using generalized least squares for longitudinal data, the binary logistic model, models for ordinal responses, parametric survival regression models, and the Cox semiparametric survival model. A new emphasis is given to the robust analysis of continuous dependent variables using ordinal regression.\u003c\/p\u003e\u003cp\u003eAs in\u003c\/p\u003e the first edition, this text is intended for Masters' or Ph.D. level graduate students who have had a general introductory probability and statistics course and who are well versed in ordinary multiple regression and intermediate algebra. The book will also serve as a reference for data analysts and statistical methodologists, as it contains an up-to-date survey and bibliography of modern statistical modeling techniques. Examples used in the text mostly come from biomedical research, but the methods are applicable anywhere predictive models (\"analytics\") are useful, including economics, epidemiology, sociology, psychology, engineering, and marketing.\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrank E. Harrell, Jr.\u003c\/b\u003e is Professor of Biostatistics and Chair, Department of Biostatistics, Vanderbilt University School of Medicine, Nashville. He has developed numerous methods for predictive modeling, quantifying predictive accuracy and model validation and has published numerous predictive models and articles on applied statistics, medical research and clinical trials. He is on the editorial board for several biomedical and methodologic journals. He is a Fellow of the American Statistical Association (ASA) and a consultant to the U.S. Food and Drug Administration and to the pharmaceutical industry. He teaches a graduate course in regression modeling strategies and a course in biostatistics for medical researchers. In 2014 he was chosen to receive the WJ Dixon Award for Excellence in Statistical Consulting by the ASA. \u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 582\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.23 x 10 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 22, 2016\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239578136850,"sku":"9783319330396","price":178.18,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/TUZEZDN2a1FHR1J2cnk1Uks2cFdwZz09.webp?v=1777884239"},{"product_id":"calibration-and-orientation-of-cameras-in-computer-vision-hardcover","title":"Calibration and Orientation of Cameras in Computer Vision - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eArmin Gruen\u003c\/b\u003e (Editor), \u003cb\u003eThomas S. Huang\u003c\/b\u003e (Editor)\u003c\/p\u003e\u003cp\u003eThis book was conceived during the Workshop \"Calibration and Orientation of Cameras in Computer Vision\" at the XVIIth Congress of the ISPRS (In- ternational Society of Photogrammetry and Remote Sensing), in July 1992 in Washington, D. C. The goal of this workshop was to bring photogrammetry and computer vision experts together in order to exchange ideas, concepts and approaches in camera calibration and orientation. These topics have been addressed in photogrammetry research for a long time, starting in the sec- ond half of the 19th century. Over the years standard procedures have been developed and implemented, in particular for metric cameras, such that in the photogrammetric community such issues were considered as solved prob- lems. With the increased use of non-metric cameras (in photogrammetry they are revealingly called \"amateur\" cameras), especially CCD cameras, and the exciting possibilities of acquiring long image sequences quite effortlessly and processing image data automatically, online and even in real-time, the need to take a new and fresh look at various calibration and orientation issues became obvious. Here most activities emerged through the computer vision commu- nity, which was somewhat unaware as to what had already been achieved in photogrammetry. On the other hand, photogrammetrists seemed to ignore the new and interesting studies, in particular on the problems of orienta- tion, that were being performed by computer vision experts.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eThis book brings together concepts and approaches from the fields of photogrammetry and computer vision. In particular, it examines techniques relating to quantitative image analysis, such as orientation, camera modelling, system calibration, self-calibration and error handling. The chapters have been contributed by experts in the relevant fields, and there are examples from automated inspection systems and other real-world cases. The book provides study material for students, researchers, developers and practitioners.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 236\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.63 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 06, 2001\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239587934482,"sku":"9783540652830","price":178.18,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/eEs4Q3FrV0VrcVUxcnZCNjJkbnpFQT09.webp?v=1777884283"},{"product_id":"survival-analysis-using-sas-a-practical-guide-paperback","title":"Survival Analysis Using SAS: A Practical Guide - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003ePaul D. Allison\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eBiomedical and social science researchers who want to analyze survival data with SAS will find just what they need with this easy-to-read and comprehensive guide. Teaches many aspects of data input and manipulation. Numerous examples of SAS code and output make this an eminently practical book, completely updated for SAS 9.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003ePaul D. Allison is Professor of Sociology at the University of Pennsylvania and President of Statistical Horizons LLC. He is the author of Logistic Regression Using SAS: Theory and Application, Survival Analysis Using SAS: A Practical Guide, and Fixed Effects Regression Methods for Longitudinal Data Using SAS. Paul has also written numerous statistical papers and published extensively on the subject of scientists' careers. He frequently teaches public short courses on the methods described in his books.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 336\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.7 x 10.8 x 8.4 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 20, 2010\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239645704466,"sku":"9781599946405","price":112.25,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/Lzl1SE84M0xva1V6V3BXd1Z2QjZmdz09.webp?v=1777884512"},{"product_id":"sas-programming-with-medicare-administrative-data-paperback","title":"SAS Programming with Medicare Administrative Data - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eMatthew Gillingham\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eSAS Programming with Medicare Administrative Data is the most comprehensive resource available for using Medicare data with SAS. This book teaches you how to access Medicare data and, more importantly, how to apply this data to your research. Matthew Gillingham has created a book that is both a foundation for programmers new to Medicare data and a comprehensive reference for experienced programmers.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eMatthew Gillingham is the director of health research systems at Mathematica Policy Research. His career in health care data analytics began with analyzing commercial claims and enrollment data. For more than ten years, he has used SAS to build software that analyzes administrative health care and Medicare administrative data. Specifically, Gillingham directs systems research and development work that uses large Medicare claims and enrollment data files to monitor and report on health care quality and utilization for the Centers for Medicare \u0026amp; Medicaid Services. In addition, he provides technical assistance and quality assurance on projects that use Medicare data to create analytic files for program evaluation, monitoring, and other research purposes.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 168\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.36 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e May 01, 2014\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239666282770,"sku":"9781612903224","price":56.09,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/VWxCd0ZPVjhVMVlEbkhHZGh3QmNhQT09.webp?v=1777884605"},{"product_id":"non-linear-filters-for-mammogram-enhancement-a-robust-computer-aided-analysis-framework-for-early-detection-of-breast-cancer-hardcover","title":"Non-Linear Filters for Mammogram Enhancement: A Robust Computer-Aided Analysis Framework for Early Detection of Breast Cancer - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eVikrant Bhateja\u003c\/b\u003e (Author), \u003cb\u003eMukul Misra\u003c\/b\u003e (Author), \u003cb\u003eShabana Urooj\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eIntroduction: Computer-aided Analysis of Mammograms for Diagnosis of Breast Cancer.- Mammogram Enhancement: Background.- Methodology: Motivation, Objectives and Proposed Solution Approach.- Performance Evaluation and Benchmarking of Mammogram Enhancement Approaches: Mammographic Image Quality Assessment.- Non-linear Polynomial Filters: Overview, Evolution and Proposed Mathematical Formulation.- Non-linear Polynomial Filters for Contrast Enhancement of Mammograms.- Non-linear Polynomial Filters for Edge Enhancement of Mammograms.- Human Visual System Based Unsharp Masking for Enhancement of Mammograms.- Conclusions and Future Scope: Applications, Contributions and Impact.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book presents non-linear image enhancement approaches to mammograms as a robust computer-aided analysis solution for the early detection of breast cancer, and provides a compendium of non-linear mammogram enhancement approaches: from the fundamentals to research challenges, practical implementations, validation, and advances in applications.\u003c\/p\u003e\u003cp\u003eThe book includes a comprehensive discussion on breast cancer, mammography, breast anomalies, and computer-aided analysis of mammograms. It also addresses fundamental concepts of mammogram enhancement and associated challenges, and features a detailed review of various state-of-the-art approaches to the enhancement of mammographic images and emerging research gaps. Given its scope, the book offers a valuable asset for radiologists and medical experts (oncologists), as mammogram visualization can enhance the precision of their diagnostic analyses; and for researchers and engineers, as the analysis of non-linear filters is one of the most challenging research domains in image processing.\u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eVikrant Bhateja\u003c\/b\u003e is an Associate Professor at the ECE Department, SRMGPC, Lucknow, where he also serves as the Head of Academics \u0026amp; Quality Control. He holds a doctorate in biomedical imaging and has 16 years of academic teaching experience, with over 120 publications in reputed international conference proceedings and journals to his credit. His areas of research include digital image and video processing, computer vision, medical imaging, and machine learning. Dr Vikrant has edited 20 books with Springer Nature. He is Editor-in-Chief of IGI Global--International Journal of Natural Computing and Research (IJNCR); an Associate Editor of the International Journal of Ambient Computing and Intelligence (IJACI); and a Guest Editor for journals including Evolutionary Intelligence and the Arabian Journal of Science and Engineering.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eMukul Misra\u003c\/b\u003e is a Professor at the Faculty of ECE, Shri Ramswaroop Memorial University, India, where he has also served as the Director of Research since 2013. He received his PhD (Microwave Electronics) from Delhi University, India, in 2000; served as a Lecturer at Osaka University, Japan, in 2000; and was awarded a JSPS Post-doctoral Fellowship at the same university in 2001. He has served as a Research Scientist at the ILE, Osaka University, Japan; Research Officer at the University of Bath, UK; and a Facility Manager at the University of Warwick, UK. Dr Mukul has more than 30 publications in reputed international journals to his credit.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDr Shabana Urooj\u003c\/b\u003e is currently serving as HOD of Electrical Engineering at Gautam Buddha University, India. She received her Bachelor's \u0026amp; Master's degrees in Engineering from Aligarh Muslim University, India, and completed her doctorate in Biomedical Instrumentation at Jamia Millia Islamia, India. She has over 3 years of industrial and 17 years of teaching experience. She has authored more than 100 research papers in international journals and conference proceedings, and is an Associate Editor for several prominent journals, including IEEE Sensors, IEEE Transactions of Nanobiosciences, and IEEE Transactions of Nanotechnology. Presently, she is also Joint Secretary of the IEEE Delhi Section.\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 239\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.63 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 18, 2019\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239689089298,"sku":"9789811504419","price":178.18,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/VE9ySFdYSGlNaDc2eCtpbDczRnhpQT09.webp?v=1777884710"},{"product_id":"analysis-of-clinical-trials-using-sas-a-practical-guide-second-edition-paperback","title":"Analysis of Clinical Trials Using SAS: A Practical Guide, Second Edition - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAlex Dmitrienko\u003c\/b\u003e (Editor), \u003cb\u003eGary G. Koch\u003c\/b\u003e (Editor)\u003c\/p\u003e\u003cp\u003eAnalysis of Clinical Trials Using SAS(R) A Practical Guide, Second Edition bridges the gap between modern statistical methodology and real-world clinical trial applications. Tutorial material and step-by-step instructions illustrated with examples from actual trials serve to define relevant statistical approaches, describe their clinical trial applications, and implement the approaches rapidly and efficiently using the power of SAS. Topics reflect the International Conference on Harmonization (ICH) guidelines for the pharmaceutical industry and address important statistical problems encountered in clinical trials. Commonly used methods are covered, including dose-escalation and dose-finding methods that are applied in Phase I and Phase II clinical trials, as well as important trial designs and analysis strategies that are employed in Phase II and Phase III clinical trials, such as multiplicity adjustment, data monitoring, and methods for handling incomplete data. This book also features recommendations from clinical trial experts and a discussion of relevant regulatory guidelines. This new edition includes more examples and case studies, new approaches for addressing statistical problems, and the following new technological updates: SAS procedures used in group sequential trials (PROC SEQDESIGN and PROC SEQTEST) SAS procedures used in repeated measures analysis (PROC GLIMMIX and PROC GEE) macros for implementing a broad range of randomization-based methods in clinical trials, performing complex multiplicity adjustments, and investigating the design and analysis of early phase trials (Phase I dose-escalation trials and Phase II dose-finding trials) Clinical statisticians, research scientists, and graduate students in biostatistics will greatly benefit from the decades of clinical research experience and the ready-to-use SAS macros compiled in this book.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003eAlex Dmitrienko, PhD, is Founder and President of Mediana Inc. He is actively involved in biostatistical research with an emphasis on multiplicity issues in clinical trials, subgroup analysis, innovative trial designs, and clinical trial optimization. Dr. Dmitrienko coauthored the first edition of Analysis of Clinical Trials Using SAS (R) A Practical Guide, and he coedited Pharmaceutical Statistics Using SAS (R) A Practical Guide.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 410\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.84 x 11 x 8.25 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 17, 2017\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239699804434,"sku":"9781629598475","price":129.53,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/MVV2UXppWU0xVXVuTkc4UWljcm9ydz09.webp?v=1777884757"},{"product_id":"applied-health-analytics-and-informatics-using-sas-paperback","title":"Applied Health Analytics and Informatics Using SAS - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eJoseph M. Woodside\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cb\u003eLeverage health data into insight \u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e \u003ci\u003eApplied Health Analytics and Informatics Using SAS\u003csup\u003e \u003c\/sup\u003e\u003c\/i\u003e describes health anamatics, a result of the intersection of data analytics and health informatics. Healthcare systems generate nearly a third of the world's data, and analytics can help to eliminate medical errors, reduce readmissions, provide evidence-based care, demonstrate quality outcomes, and add cost-efficient care. This comprehensive textbook includes data analytics and health informatics concepts, along with applied experiential learning exercises and case studies using SAS\u003csup\u003e \u003c\/sup\u003e Enterprise Miner\u003csup\u003eTM\u003c\/sup\u003e within the healthcare industry setting. Topics covered include: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eSampling and modeling health data - both structured and unstructured \u003c\/li\u003e\n\u003cli\u003eExploring health data quality \u003c\/li\u003e\n\u003cli\u003eDeveloping health administration and health data assessment procedures \u003c\/li\u003e\n\u003cli\u003eIdentifying future health trends \u003c\/li\u003e\n\u003cli\u003eAnalyzing high-performance health data mining models\u003c\/li\u003e\n\u003c\/ul\u003e \u003ci\u003eApplied Health Analytics and Informatics Using SAS\u003csup\u003e \u003c\/sup\u003e\u003c\/i\u003e is intended for professionals, lifelong learners, senior-level undergraduates, graduate-level students in professional development courses, health informatics courses, health analytics courses, and specialized industry track courses. This textbook is accessible to a wide variety of backgrounds and specialty areas, including administrators, clinicians, and executives. \u003cp\u003e This book is part of the SAS Press program.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 378\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.78 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 08, 2018\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239700984082,"sku":"9781629608815","price":86.33,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/VmZJVk5wNFF0Y3I1UHNLenpkN2pvUT09.webp?v=1777884763"},{"product_id":"primer-to-analysis-of-genomic-data-using-r-paperback","title":"Primer to Analysis of Genomic Data Using R - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eCedric Gondro\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThrough this book, researchers and students will learn to use R for analysis of large-scale genomic data and how to create routines to automate analytical steps. The philosophy behind the book is to start with real world raw datasets and perform all the analytical steps needed to reach final results. Though theory plays an important role, this is a practical book for graduate and undergraduate courses in bioinformatics and genomic analysis or for use in lab sessions. How to handle and manage high-throughput genomic data, create automated workflows and speed up analyses in R is also taught. A wide range of R packages useful for working with genomic data are illustrated with practical examples. \u003c\/p\u003e \u003cp\u003eThe key topics covered are association studies, genomic prediction, estimation of population genetic parameters and diversity, gene expression analysis, functional annotation of results using publically available databases and how to work efficiently in R with large genomic datasets. Important principles are demonstrated and illustrated through engaging examples which invite the reader to work with the provided datasets. Some methods that are discussed in this volume include: signatures of selection, population parameters (LD, FST, FIS, etc); use of a genomic relationship matrix for population diversity studies; use of SNP data for parentage testing; snpBLUP and gBLUP for genomic prediction. Step-by-step, all the R code required for a genome-wide association study is shown: starting from raw SNP data, how to build databases to handle and manage the data, quality control and filtering measures, association testing and evaluation of results, through to identification and functional annotation of candidate genes. Similarly, gene expression analyses are shown using microarray and RNAseq data. \u003c\/p\u003e \u003cp\u003eAt a time when genomic data is decidedly big, the skills from this book are critical. In recent years R has become the de facto \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThrough this book, researchers and students will learn to use R for analysis of large-scale genomic data and how to create routines to automate analytical steps. The philosophy behind the book is to start with \u003ci\u003ereal world raw datasets \u003c\/i\u003eand perform all the analytical steps needed to reach final results. Though theory plays an important role, this is a practical book for advanced undergraduate and graduate classes in bioinformatics, genomics and statistical genetics or for use in lab sessions. This book is also designed to be used by students in computer science and statistics who want to learn the practical aspects of genomic analysis without delving into algorithmic details. The datasets used throughout the book may be downloaded from the publisher's website.\u003c\/p\u003e\u003cp\u003e Chapters show how to handle and manage high-throughput genomic data, create automated workflows and speed up analyses in R. A wide range of R packages useful for working with genomic data are illustrated with practical examples. In recent years R has become the \u003ci\u003ede facto \u003c\/i\u003etool for analysis of gene expression data, in addition to its prominent role in the analysis of genomic data. Benefits to using R include the integrated development environment for analysis, flexibility and control of the analytic workflow. \u003c\/p\u003e\u003cp\u003e At a time when genomic data is decidedly \u003ci\u003ebig\u003c\/i\u003e, the skills from this book are critical. The key topics covered are association studies, genomic prediction, estimation of population genetic parameters and diversity, gene expression analysis, functional annotation of results using publically available databases and how to work efficiently in R with large genomic datasets. Important principles are demonstrated and illustrated through engaging examples which invite the reader to work with the provided datasets. Some methods that are discussed in this volume include: signatures of selection; population parameters (LD, F\u003csub\u003eST\u003c\/sub\u003e, F\u003csub\u003eIS\u003c\/sub\u003e, etc); use of a genomic relationship matrix for population diversity studies; use of SNP data for parentage testing; \u003ci\u003esnpBLUP \u003c\/i\u003eand \u003ci\u003egBLUP \u003c\/i\u003efor genomic prediction. Step-by-step, all the R code required for a genome-wide association study is shown: starting from raw SNP data, how to build databases to handle and manage the data, quality control and filtering measures, association testing and evaluation of results, through to identification and functional annotation of candidate genes. Similarly, gene expression analyses are shown using microarray and RNAseq data. \u003c\/p\u003e\u003cp\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eCedric Gondro\u003c\/b\u003e is Associate Professor of computational genetics at the University of New England. He has extensive experience in analysis of livestock projects using data from various genomic platforms. His main research interests are in the development of computational methods for optimization of biological problems; statistical and functional analysis methods for high throughput genomic data (expression arrays, SNP chips, sequence data); estimation of population genetic parameters using genome-wide data; and simulation of biological systems. \u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 270\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.6 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 09, 2015\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239706128658,"sku":"9783319144740","price":105.28,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/SmMvK0dDbG1oWFNHY0NLS3FnSTNvUT09.webp?v=1777884793"},{"product_id":"r-for-health-data-science-paperback","title":"R for Health Data Science - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eEwen Harrison\u003c\/b\u003e (Author), \u003cb\u003eRiinu Pius\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eIn this age of information, the manipulation, analysis, and interpretation of data have become a fundamental part of professional life; nowhere more so than in the delivery of healthcare. From the understanding of disease and the development of new treatments, to the diagnosis and management of individual patients, the use of data and technology is now an integral part of the business of healthcare. Those working in healthcare interact daily with data, often without realising it. The conversion of this avalanche of information to useful knowledge is essential for high-quality patient care. \u003c\/p\u003e\u003cb\u003e\u003ci\u003e \u003c\/i\u003e\u003c\/b\u003e\u003cp\u003e\u003c\/p\u003e \u003ci\u003e\u003c\/i\u003e\u003cp\u003e\u003ci\u003e\u003cb\u003eR for Health Data Science\u003c\/b\u003e\u003c\/i\u003e includes everything a healthcare professional needs to go from R novice to R guru. By the end of this book, you will be taking a sophisticated approach to health data science with beautiful visualisations, elegant tables, and nuanced analyses. \u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003cb\u003e \u003c\/b\u003e\u003cp\u003eFeatures\u003c\/p\u003e \u003cul\u003e\n\u003cb\u003e\u003c\/b\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eProvides an introduction to the fundamentals of R for healthcare professionals\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eHighlights the most popular statistical approaches to health data science\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eWritten to be as accessible as possible with minimal mathematics\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eEmphasises the importance of truly understanding the underlying data through the use of plots\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eIncludes numerous examples that can be adapted for your own data\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eHelps you create publishable documents and collaborate across teams\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003eWith this book, you are in safe hands - Prof. Harrison is a clinician and Dr. Pius is a data scientist, bringing 25 years' combined experience of using R at the coal face. This content has been taught to hundreds of individuals from a variety of backgrounds, from rank beginners to experts moving to R from other platforms. \u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eEwen is a surgeon and Riinu is a physicist. And they're both data scientists too. They dabble with a few programming languages and are generally all over technology. They are most enthusiastic about the R statistical programming\u003cbr\u003elanguage and have a combined experience of 25 years using it. They work at the University of Edinburgh and have taught R to hundreds of healthcare professionals and researchers.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 364\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.76 x 9.69 x 7.44 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 17, 2020\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239939961106,"sku":"9780367428198","price":166.84,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/VEY3UDFWNkpobVBmczM1ZHhETDIrQT09.webp?v=1777890398"},{"product_id":"getting-rid-of-cybersickness-in-virtual-reality-augmented-reality-and-simulators-paperback","title":"Getting Rid of Cybersickness: In Virtual Reality, Augmented Reality, and Simulators - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAndras Kemeny\u003c\/b\u003e (Author), \u003cb\u003eJean-Rémy Chardonnet\u003c\/b\u003e (Author), \u003cb\u003eFlorent Colombet\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eIntroduction.- Self-Motion Perception and Cyersickness.- Visualization and Motion Systems.- Reducing Cybersickness.- Applications.- Conclusion.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eThis book provides a concise overview of VR systems and their cybersickness effects, giving a description of possible reasons and existing solutions to reduce or avoid them. Moreover, the book explores the impact that understanding how efficiently our brains are producing a coherent and rich representation of the perceived outside world would have on helping VR technics to be more efficient and friendly to use.\u003cbr\u003e\u003ci\u003eGetting Rid of Cybersickness\u003c\/i\u003e will help readers to understand the underlying technics and social stakes involved, from engineering design to autonomous vehicle motion sickness to video games, with the hope of providing an insight of VR sickness induced by the emerging immersive technologies. This book will therefore be of interest to academics, researchers and designers within the field of VR, as well as industrial users of VR and driving simulators.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eProfessor \u003cb\u003eAndras Kemeny\u003c\/b\u003e is Expert Leader, Immersive Simulation and VR for Renault, Professor at Arts et Métiers Institute of Technology, and Director of LIV, a joint Renault - Arts et Métiers Institute of Technology laboratory. He has worked in several other academic positions, including a position as Associate Research Director at CNRS and College de France and have authored more than 200 scientific papers, books, and industrial patents. His research interests include virtual reality, multimodal perception, autonomous and connected vehicles and driving simulation. He is the inventor of SCANeR, a worldwide leading driving simulation software product. He is President of Driving Simulation Association since 2015, Chairman of the DSC Europe Scientific Committee since 1995, and Guest Editor for several scientific journals.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eAssociate Professor \u003cb\u003eJean-Rémy Chardonnet\u003c\/b\u003e received his Ph.D. degree in robotics from the University of Montpellier II, France, in 2009. He was then with INRIA Grenoble, France, where he developed an awarded hands-on interaction device for virtual reality applications. He is currently Associate Professor at Arts et Métiers Institute of Technology and with LISPEN\/Institut Image, Chalon-sur-Saône, France, and leads driving simulation activities at Institut Image. His research interests include virtual reality, multimodal interaction and driving simulation, with a strong focus on cybersickness reduction and personalized interaction. He has published more than 70 papers. He is a member of the DSC Europe VR Scientific Committee and its Organizing Committee.\u003cbr\u003e\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eDr.\u003cb\u003e Florent Colombet\u003c\/b\u003e graduated in 2006 from Arts et Métiers, Institute of Technology and got his PhD, under the supervision of Pr. Kemeny in 2010 for his work on speed perception in driving simulation. Since then, he has been working at Renault Technocenter in the Driving Simulation \u0026amp; Virtual Reality department and became referent in AD\/ADAS driving simulation in 2016. His main topics of interest are motion cueing, motion perception and cybersickness. Dr Colombet is a member of the DSC Europe VR Scientific Committee and its Organizing Committee.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 148\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.35 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 21, 2021\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239989604626,"sku":"9783030593445","price":105.28,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/aFpmSUlVNlNxUGloME52cVl5UER5dz09.webp?v=1777890618"},{"product_id":"getting-rid-of-cybersickness-in-virtual-reality-augmented-reality-and-simulators-hardcover","title":"Getting Rid of Cybersickness: In Virtual Reality, Augmented Reality, and Simulators - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAndras Kemeny\u003c\/b\u003e (Author), \u003cb\u003eJean-Rémy Chardonnet\u003c\/b\u003e (Author), \u003cb\u003eFlorent Colombet\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eIntroduction.- Self-Motion Perception and Cyersickness.- Visualization and Motion Systems.- Reducing Cybersickness.- Applications.- Conclusion.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eThis book provides a concise overview of VR systems and their cybersickness effects, giving a description of possible reasons and existing solutions to reduce or avoid them. Moreover, the book explores the impact that understanding how efficiently our brains are producing a coherent and rich representation of the perceived outside world would have on helping VR technics to be more efficient and friendly to use.\u003cbr\u003e\u003ci\u003eGetting Rid of Cybersickness\u003c\/i\u003e will help readers to understand the underlying technics and social stakes involved, from engineering design to autonomous vehicle motion sickness to video games, with the hope of providing an insight of VR sickness induced by the emerging immersive technologies. This book will therefore be of interest to academics, researchers and designers within the field of VR, as well as industrial users of VR and driving simulators.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eProfessor \u003cb\u003eAndras Kemeny\u003c\/b\u003e is Expert Leader, Immersive Simulation and VR for Renault, Professor at Arts et Métiers Institute of Technology, and Director of LIV, a joint Renault - Arts et Métiers Institute of Technology laboratory. He has worked in several other academic positions, including a position as Associate Research Director at CNRS and College de France and have authored more than 200 scientific papers, books, and industrial patents. His research interests include virtual reality, multimodal perception, autonomous and connected vehicles and driving simulation. He is the inventor of SCANeR, a worldwide leading driving simulation software product. He is President of Driving Simulation Association since 2015, Chairman of the DSC Europe Scientific Committee since 1995, and Guest Editor for several scientific journals.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eAssociate Professor \u003cb\u003eJean-Rémy Chardonnet\u003c\/b\u003e received his Ph.D. degree in robotics from the University of Montpellier II, France, in 2009. He was then with INRIA Grenoble, France, where he developed an awarded hands-on interaction device for virtual reality applications. He is currently Associate Professor at Arts et Métiers Institute of Technology and with LISPEN\/Institut Image, Chalon-sur-Saône, France, and leads driving simulation activities at Institut Image. His research interests include virtual reality, multimodal interaction and driving simulation, with a strong focus on cybersickness reduction and personalized interaction. He has published more than 70 papers. He is a member of the DSC Europe VR Scientific Committee and its Organizing Committee.\u003cbr\u003e\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eDr.\u003cb\u003e Florent Colombet\u003c\/b\u003e graduated in 2006 from Arts et Métiers, Institute of Technology and got his PhD, under the supervision of Pr. Kemeny in 2010 for his work on speed perception in driving simulation. Since then, he has been working at Renault Technocenter in the Driving Simulation \u0026amp; Virtual Reality department and became referent in AD\/ADAS driving simulation in 2016. His main topics of interest are motion cueing, motion perception and cybersickness. Dr Colombet is a member of the DSC Europe VR Scientific Committee and its Organizing Committee.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 148\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.44 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 20, 2020\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52239989637394,"sku":"9783030593414","price":145.78,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/OENoSUZId1gvRGo3NklQZGZINFB3QT09.webp?v=1777890618"},{"product_id":"healthcare-informatics-strategies-for-the-digital-era-hardcover","title":"Healthcare Informatics: Strategies for the Digital Era - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eStephan P. Kudyba\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\"This book addresses how health apps, in-home measurement devices, telemedicine, data mining, and artificial intelligence and smart medical algorithms are all enabled by the transition to a digital health infrastructure.....it provides a comprehensive background with which to understand what is happening in healthcare informatics and why.\"--\u003cstrong\u003eC. William Hanson, III, MD, Chief Medical Information Officer and Vice President, University of Pennsylvania Health System.\u003c\/strong\u003e \u003c\/p\u003e\u003cp\u003e\"This book is dedicated to the frontline healthcare workers, who through their courage and honor to their profession, helped maintain a reliable service to the population at large, during a chaotic time. These individuals withstood fear and engaged massive uncertainty and risk to perform their duties of providing care to those in need at a time of crisis. May the world never forget the COVID-19 pandemic and the courage of our healthcare workers\".--\u003cstrong\u003eStephan P. Kudyba, Author\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eHealthcare Informatics: Evolving Strategies in the Digital Era\u003c\/strong\u003e focuses on the services, technologies, and processes that are evolving in the healthcare industry. It begins with an introduction to the factors that are driving the digital age as it relates to the healthcare sector and then covers strategic topics such as risk management, project management, and knowledge management that are essential for successful digital initiatives. It delves into facets of the digital economy and how healthcare is adapting to the geographic, demographic, and physical needs of the population and highlights the emergence and importance of apps and telehealth. It also provides a high-level approach to managing pandemics by applying the various elements of the digital ecosystem. The book covers such technologies as: \u003c\/p\u003e\u003cul\u003e \u003cp\u003e \u003c\/p\u003e \u003cli\u003eComputerized physician order entry (CPOE)\u003c\/li\u003e \u003cli\u003eClinical Information Systems\u003c\/li\u003e \u003cli\u003eAlerting systems and medical sensors\u003c\/li\u003e \u003cli\u003eElectronic healthcare records (EHRs)\u003c\/li\u003e \u003cli\u003eMobile healthcare and telehealth. \u003c\/li\u003e \u003cli\u003eApps\u003c\/li\u003e \u003cli\u003eBusiness Intelligence and Decision Support Analytics\u003c\/li\u003e \u003cli\u003eDigital outreach to the population\u003c\/li\u003e \u003cli\u003eArtificial Intelligence\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eThe book then closes the loop on the efficiency enhancing process with a focus on utilizing analytics for problem solving for a variety of healthcare processes including the pharmaceutical sector. Finally, the book ends with current and futuristic views on evolving applications of AI throughout the industry.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDr. Stephan P. Kudyba, MBA, PhD, \u003c\/strong\u003e is a faculty member in the school of management at New Jersey Institute of Technology where he teaches courses addressing the utilization of technologies, business analytics and information and knowledge management to enhance operational efficiency, innovation and digital transformation. He has published numerous books, journal articles, and magazine articles on strategic utilization of data, information, and technologies to enhance organizational and macro productivity and successful digital transformation. Dr. Kudyba has been featured in virtual platforms, presents at conferences, corporate seminars, and university symposiums, addressing the evolving information, knowledge and digital economy. He has more than 15 years of private sector experience at prominent organizations in the US and Europe, and he maintains relations with firms across industry sectors addressing strategic initiatives. 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Case studies from Asia and the Pacific illustrate ways of tapping big data in tourism development.\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 84\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.23 x 11 x 8.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e May 30, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52240765485330,"sku":"9789292691356","price":44.64,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/ZnRCaG5pem1wVGRaRVpwWE5OQ1hkZz09.webp?v=1777893546"},{"product_id":"managing-the-development-of-digital-marketplaces-in-asia-paperback","title":"Managing the Development of Digital Marketplaces in Asia - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eCyn-Young Park\u003c\/b\u003e (Editor), \u003cb\u003eJames Villafuerte\u003c\/b\u003e (Editor), \u003cb\u003eJosef T. Yap\u003c\/b\u003e (Editor)\u003c\/p\u003e\u003cp\u003eThis book examines the scope, potential benefits, and challenges of digital platforms in Asia and the Pacific. It proposes measures and policies to help maximize social and economic gains while alleviating adverse effects. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eThe coronavirus disease (COVID-19) pandemic is accelerating digital transformation across Asia and the Pacific. Digital platforms have become prominent intermediaries or marketplaces that allow the exchange of goods, services, and information. They are opening new transaction channels while lowering service costs and enhancing market efficiency. This volume explores topics that include trade and e-commerce, fintech payments, the digital divide, promoting competition, the digitalization of work and the role of universal basic income, and international taxation.\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 318\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.86 x 9 x 6 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e May 30, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52240765649170,"sku":"9789292692179","price":61.92,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/a0I4ckV3c3FZcE4yM2s0d2UxQmhNZz09.webp?v=1777893547"},{"product_id":"deep-learning-to-see-towards-new-foundations-of-computer-vision-paperback","title":"Deep Learning to See: Towards New Foundations of Computer Vision - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAlessandro Betti\u003c\/b\u003e (Author), \u003cb\u003eMarco Gori\u003c\/b\u003e (Author), \u003cb\u003eStefano Melacci\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe remarkable progress in computer vision over the last few years is, by and large, attributed to deep learning, fueled by the availability of huge sets of labeled data, and paired with the explosive growth of the GPU paradigm. While subscribing to this view, this work criticizes the supposed scientific progress in the field, and proposes the investigation of vision within the framework of information-based laws of nature.\u003c\/p\u003e \u003cp\u003eThis work poses fundamental questions about vision that remain far from understood, leading the reader on a journey populated by novel challenges resonating with the foundations of machine learning. The central thesis proposed is that for a deeper understanding of visual computational processes, it is necessary to look beyond the applications of general purpose machine learning algorithms, and focus instead on appropriate learning theories that take into account the spatiotemporal nature of the visual signal.\u003c\/p\u003e\u003cp\u003eServing to inspire and stimulate critical reflection and discussion, yet requiring no prior advanced technical knowledge, the text can naturally be paired with classic textbooks on computer vision to better frame the current state of the art, open problems, and novel potential solutions. As such, it will be of great benefit to graduate and advanced undergraduate students in computer science, computational neuroscience, physics, and other related disciplines.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eThe remarkable progress in computer vision over the last few years is, by and large, attributed to deep learning, fueled by the availability of huge sets of labeled data, and paired with the explosive growth of the GPU paradigm. \u003cbr\u003eWhile subscribing to this view, this book criticizes the supposed scientific progress in the field, and proposes the investigation of vision within the framework of information-based laws of nature. Specifically, the present work poses fundamental questions about vision that remain far from understood, leading the reader on a journey populated by novel challenges resonating with the foundations of machine learning. The central thesis is that for a deeper understanding of visual computational processes, it is necessary to look beyond the applications of general purpose machine learning algorithms, and focus instead on appropriate learning theories that take into account the spatiotemporal nature of the visual signal.\u003cbr\u003e\u003cb\u003eTopics and features: \u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003ePresents a curiosity-driven approach, posing questions to stimulate readers to design novel computational models of vision \u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eOffers a rethinking of computer vision, arguing for an approach based on vision in nature, versus regarding visual signals as collections of images \u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eProvides an interdisciplinary commentary, aiming to unify computer vision, machine learning, human vision, and computational neuroscience\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eServing to inspire and stimulate critical reflection and discussion, yet requiring no prior advanced technical knowledge, the text can naturally be paired with classic textbooks on computer vision to better frame the current state of the art, open problems, and novel potential solutions. \u003c\/p\u003e\u003cp\u003eThis unique volume will be of great benefit to graduate and advanced undergraduate students in computer science, computational neuroscience, physics, and other related disciplines.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eMarco Gori received the Ph.D. degree in 1990 from Università di Bologna, Italy, working partly at the School of Computer Science (McGill University, Montreal). In 1992, he became an Associate Professor of Computer Science at Università di Firenze and, in November 1995, he is currently leading the Siena Artificial Intelligence Lab (SAILAB).\u003c\/p\u003e\u003cp\u003eProfessor Gori is primarily interested in machine learning with applications to pattern recognition, Web mining, game playing, and bioinformatics. He has recently published the monograph \"Machine Learning: A constraint-based approach,\" (MK, 560 pp., 2018), which contains a unified view of his approach. His pioneering role in neural networks has been emerging especially from the recent interest in Graph Neural Networks, that he contributed to introduce in the seminal paper \"Graph Neural Networks,\" IEEE-TNN, 2009.\u003cbr\u003e\u003c\/p\u003e \u003cp\u003eProfessor Gori has been the chair of the Italian Chapter of the IEEE Computational Intelligence Society and the President of the Italian Association for Artificial Intelligence. He is a Fellow of IEEE, a Fellow of EurAI, and a Fellow of IAPR. He was one the first people involved in the European project on Artificial Intelligence CLAIRE, and he is currently a Fellow of Machine Learning association ELLIS. He is in the scientific committee of ICAR-CNR and is the President of the Scientific Committee of FBK-ICT. Dr. Gori is currently holding an international 3IA Chair at the Université Côte d'Azur.\u003c\/p\u003e\u003cp\u003eAlessandro Betti received the M.S. degree in Theoretical Physics in 2016 from the University of Pisa, Italy, and the PhD degree in Computer Science (Smart Computing) in 2020, awarded jointly from the Universities of Florence, Pisa, and Siena. He is currently a postdoctoral researcher of the Department of Information Engineering and Mathematics, University of Siena. His main research interests are in machine learning, specifically the formulation of a class of learning problems that possess a natural temporal embedding using the formalism of Calculus of Variations (with applications to online learning, continuous learning from video streams, and computer vision).\u003c\/p\u003eStefano Melacci is an Associate Professor at the Department of Information Engineering and Mathematics, University of Siena (Siena, Italy), where he received his PhD (2010) and the M.S. Degree (cum Laude) in Computer Engineering. He worked as a Researcher in the Academy and in the Industry (QuestIT S.r.l., Italy), and he has been a Visiting Scientist at the Ohio State University, Columbus (OH), USA. His profile is strongly characterized by research activity in the field of Machine Learning and, more generally, in Artificial Intelligence. Recently, he focussed on the problem of Continuous Learning from Video Streams, studying the role of motion and attention. He contributed to the unifying framework of Learning from Constraints that allows classic learning models to integrate symbolic knowledge representations. Prof. Melacci serves as Associate Editor of the IEEE Transactions on Neural Networks and Learning Systems, and he is an active reviewer for several journals and conferences in the field of Machine Learning.\u003cp\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 105\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.25 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 27, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52240781705490,"sku":"9783030909864","price":105.28,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/aBb7LwncUT9783030909864.webp?v=1777893618"},{"product_id":"user-experience-research-and-usability-of-health-information-technology-paperback","title":"User Experience Research and Usability of Health Information Technology - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eJessica Lynn Campbell\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book is a guide to designing and conducting studies that examine the usability of health information technology including eHealth, mHealth, and other health information systems. The continuum of usability studies is presented ranging from formative testing to summative testing.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eJessica Lynn Campbell \u003c\/strong\u003ehas a PhD in Philosophy, and a master's degree in English--Technical Communication, both of which she earned from the University of Central Florida (UCF). She is an experienced, expert UX researcher and designer, and technical communication practitioner, having held various roles in the healthcare and health informatics space creating content, engaging in digital marketing, and performing UX research for product and service development. Simultaneously with her industry career, Jessica holds an educator role. As a professor of English, she teaches several technical communication and UX courses. Her expertise and research interests intersect the technical communication, HCI, and UX disciplines where she focuses on the usability of health information technology (HIT) and leveraging user- centered design (UCD) and equity design to research and design HIT for various audiences. She has experience conducting mixed- method studies, including both quantitative and qualitative methods in investigations of the usability of telemedicine and similar digital health interventions. In addition to her research interest in the healthcare space, Jessica's scholarly and academic interests include a broad scope of technical and professional communication (TPC) pedagogy, particularly exploring the engagement of students in social justice work, solving wicked problems, and improving digital literacy. She is curious, eager to collaborate, and contributes to the TPC community to continue to expand the TPC discipline.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 214\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.5 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e February 02, 2024\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52241412817170,"sku":"9781032162768","price":118.24,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/DX---vy25v9781032162768.webp?v=1777899327"},{"product_id":"journal-of-green-engineering-vol-2-no-3-paperback","title":"JOURNAL OF GREEN ENGINEERING Vol. 2 No. 3 - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eDina Simunic\u003c\/b\u003e (Editor)\u003c\/p\u003e\u003cp\u003eGreen Engineering will publish original, high quality, peer-reviewed research papers and review articles dealing with environmentally safe engineering including their systems. The goal is to promote environmentally safe engineering by utilizing various modeling approaches, but especially transdisciplinary approach between various disciplines of engineering, as well as, other disciplines e.g., social sciences. Of particular interest are papers that reflect recent development and application of modeling tools as well as innovative solutions in the field of environmentally safe engineering. Aims and scopes: Green Engineering will publish original, high quality, peer-reviewed research papers and review articles dealing with environmentally safe engineering including their systems. Paper submission is solicited on: 1. Theoretical and numerical modeling of environmentally safe electrical engineering devices and systems 2. Simulation of performance of innovative energy supply systems including renewable energy systems, as well as energy harvesting systems 3. Modeling and optimization of human environmentally conscientiousness environment (especially related to electromagnetics and acoustics) 4. Modeling and optimization of applications of engineering sciences and technology to medicine and biology 5. Advances in modeling including optimization, product modeling, fault detection and diagnostics, inverse models 6. Advances in software and systems interoperability, validation and calibration techniques. Simulation tools for sustainable environment (especially electromagnetic, and acoustic) 7. Experiences on teaching environmentally safe engineering (including applications of engineering sciences and technology to medicine and biology) All these topics may be addressed from a global scale to a microscopic scale, and for different phases during the life cycle.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 122\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.26 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 12, 2012\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52241486315794,"sku":"9788792329318","price":81.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/Kgut3sHHzs9788792329318.webp?v=1777899664"},{"product_id":"journal-of-green-engineering-vol-1-no-4-paperback","title":"JOURNAL OF GREEN ENGINEERING Vol. 1 No. 4 - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eDina Simunic\u003c\/b\u003e (Editor)\u003c\/p\u003e\u003cp\u003eGreen Engineering will publish original, high quality, peer-reviewed research papers and review articles dealing with environmentally safe engineering including their systems. The goal is to promote environmentally safe engineering by utilizing various modeling approaches, but especially transdisciplinary approach between various disciplines of engineering, as well as, other disciplines e.g., social sciences. Of particular interest are papers that reflect recent development and application of modeling tools as well as innovative solutions in the field of environmentally safe engineering. Aims and scopes: Green Engineering will publish original, high quality, peer-reviewed research papers and review articles dealing with environmentally safe engineering including their systems. Paper submission is solicited on: 1. Theoretical and numerical modeling of environmentally safe electrical engineering devices and systems 2. Simulation of performance of innovative energy supply systems including renewable energy systems, as well as energy harvesting systems 3. Modeling and optimization of human environmentally conscientiousness environment (especially related to electromagnetics and acoustics) 4. Modeling and optimization of applications of engineering sciences and technology to medicine and biology 5. Advances in modeling including optimization, product modeling, fault detection and diagnostics, inverse models 6. Advances in software and systems interoperability, validation and calibration techniques. Simulation tools for sustainable environment (especially electromagnetic, and acoustic) 7. Experiences on teaching environmentally safe engineering (including applications of engineering sciences and technology to medicine and biology) All these topics may be addressed from a global scale to a microscopic scale, and for different phases during the life cycle.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 148\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.32 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 05, 2011\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52241486512402,"sku":"9788792329783","price":81.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/kq5DFDRcBV9788792329783.webp?v=1777899665"},{"product_id":"journal-of-green-engineering-vol-2-no-1-paperback","title":"JOURNAL OF GREEN ENGINEERING Vol. 2 No. 1 - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eDina Simunic\u003c\/b\u003e (Editor)\u003c\/p\u003e\u003cp\u003eGreen Engineering will publish original, high quality, peer-reviewed research papers and review articles dealing with environmentally safe engineering including their systems. The goal is to promote environmentally safe engineering by utilizing various modeling approaches, but especially transdisciplinary approach between various disciplines of engineering, as well as, other disciplines e.g., social sciences. Of particular interest are papers that reflect recent development and application of modeling tools as well as innovative solutions in the field of environmentally safe engineering. Aims and scopes: Green Engineering will publish original, high quality, peer-reviewed research papers and review articles dealing with environmentally safe engineering including their systems. Paper submission is solicited on: 1. Theoretical and numerical modeling of environmentally safe electrical engineering devices and systems 2. Simulation of performance of innovative energy supply systems including renewable energy systems, as well as energy harvesting systems 3. Modeling and optimization of human environmentally conscientiousness environment (especially related to electromagnetics and acoustics) 4. Modeling and optimization of applications of engineering sciences and technology to medicine and biology 5. Advances in modeling including optimization, product modeling, fault detection and diagnostics, inverse models 6. Advances in software and systems interoperability, validation and calibration techniques. Simulation tools for sustainable environment (especially electromagnetic, and acoustic) 7. Experiences on teaching environmentally safe engineering (including applications of engineering sciences and technology to medicine and biology) All these topics may be addressed from a global scale to a microscopic scale, and for different phases during the life cycle.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 108\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.22 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 23, 2011\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52241486709010,"sku":"9788792329806","price":81.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/GFB63NbVFI9788792329806.webp?v=1777899666"},{"product_id":"journal-of-green-engineering-vol-3-1-paperback","title":"Journal of Green Engineering Vol 3-1 - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eDina Simunic\u003c\/b\u003e (Editor)\u003c\/p\u003e\u003cp\u003eGreen Engineering will publish original, high quality, peer-reviewed research papers and review articles dealing with environmentally safe engineering including their systems. The goal is to promote environmentally safe engineering by utilizing various modeling approaches, but especially transdisciplinary approach between various disciplines of engineering, as well as, other disciplines e.g., social sciences. Of particular interest are papers that reflect recent development and application of modeling tools as well as innovative solutions in the field of environmentally safe engineering. Aims and scopes: Green Engineering will publish original, high quality, peer-reviewed research papers and review articles dealing with environmentally safe engineering including their systems. Paper submission is solicited on: 1. Theoretical and numerical modeling of environmentally safe electrical engineering devices and systems 2. Simulation of performance of innovative energy supply systems including renewable energy systems, as well as energy harvesting systems 3. Modeling and optimization of human environmentally conscientiousness environment (especially related to electromagnetics and acoustics) 4. Modeling and optimization of applications of engineering sciences and technology to medicine and biology 5. Advances in modeling including optimization, product modeling, fault detection and diagnostics, inverse models 6. Advances in software and systems interoperability, validation and calibration techniques. Simulation tools for sustainable environment (especially electromagnetic, and acoustic) 7. Experiences on teaching environmentally safe engineering (including applications of engineering sciences and technology to medicine and biology) All these topics may be addressed from a global scale to a microscopic scale, and for different phases during the life cycle.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 118\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.25 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 25, 2012\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52241486905618,"sku":"9788792982025","price":81.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0941\/2211\/5346\/files\/VwGPqQlAQI9788792982025.webp?v=1777899666"},{"product_id":"harnessing-the-potential-of-big-data-in-post-pandemic-southeast-asia-paperback","title":"Harnessing the Potential of Big Data in Post-Pandemic Southeast Asia - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAsian Development Bank\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eThis report illustrates why Southeast Asian countries need big data for recovery from COVID-19 to radically transform the delivery of key services such as health care, social protection, and education.\u003cbr\u003e\u003cbr\u003eThe final of a four-part series, it looks at the impact of the pandemic on Cambodia, Thailand, Indonesia, Myanmar, and the Philippines to determine how big data can help governments analyze the challenges they face. 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