This claim is not only false, but its presence in the debate is an insult to science." With these words, the authors begin a detailed analysis of one of the most controversial topics of the day. The authors make a compelling case against claims of a scientific consensus. The purported proof of such a consensus consists of sloppy research by nonscientists, college students, and a highly partisan Australian blogger. Surveys of climate scientists, even those heavily biased in favor of climate alarmism, find extensive disagreement on the underlying science and doubts about its reliability. The authors point to four reasons why scientists disagree about global warming: a conflict among scientists in different and often competing disciplines; fundamental scientific uncertainties concerning how the global climate responds to the human presence; failure of the United Nations Intergovernmental Panel on Climate Change (IPCC) to provide objective guidance to the complex science; and bias among researchers. The authors offer a succinct summary of the real science of climate change based on their previously published comprehensive review of climate science in a volume titled Climate Change Reconsidered II: Physical Science. They recommend that policymakers resist pressure from lobby groups to silence scientists who question the authority of the IPCC to claim to speak for climate science. More than 50,000 copies of the first edition were sold or given away in five months to elected officials, civic and business leaders, scientists, and other opinion leaders. The response from the science community and experts on climate change has been overwhelmingly positive. To meet demand for more copies, we have produced this second revised edition. Changes include a foreword by Marita Noon, at the time executive director of Energy Makes America Great, Inc. Some of the discussion in Chapter 1 has been revised and expanded thanks to feedback from readers of the first edition. Graphs in Chapters 4, 5, and 6 are now full color, and new graphs have been added.

    The Seventh Edition updates and revises material to reflect current advances in respiratory science but does not stray from the proven formula students and faculty have enjoyed since 1974.New updates include physiology of pulmonary capillaries, hypoxic pulmonary vasoconstriction, pulmonary edema, surface tension, elastic properties of the lung and chest wall, metabolic functions of the lung, and perinatal respiration. Ample illustrations and pedagogical features help clarify important equations and concepts. USMLE-style review questions at the end of each chapter help students review for class or boards.

    R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Statistical Computing. * Features step-by-step instructions that assume no mathematics, statistics or programming background, helping the non-statistician to fully understand the methodology. * Uses a series of realistic examples, developing step-wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data. * The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing. * Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling. * Includes numerous worked examples and exercises within each chapter. * Accompanied by a website featuring worked examples, data sets, exercises and solutions: http: //www.imperial.ac.uk/bio/research/crawl... Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology - but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R.

    An Introduction to Meteorology (13th Edition)

    He was a celebrity during the height of America’s Gilded Age. In this book, you will read about his friendship with Mark Twain, his furious competition with his former employer Thomas Edison, his uneasy relationship with billionaire J.P. Morgan, and his rivalry with Albert Einstein. During his lifetime, Tesla revolutionized the field of electrical engineering with his most famous invention: the induction motor. But that wasn’t all he contributed to the world of technology. His coils, turbines, robotic boats, and mysterious “death ray” continue to beguile the imagination and inspire the inventors of the 21st century. But who was Tesla really? This book will take you from his early childhood in Croatia, where he experienced strange optical visions and “luminous phenomenon” that gave him near super-human powers of memory and visualization, to the “War of the Currents”, Thomas Edison’s bizarre campaign to ruin Tesla’s reputation. From trying to fight the Spanish American War with robots, to electrifying the skies of the Colorado desert, and to starting an earthquake in the middle of New York city, learn how Nikola Tesla shaped the world we live in today.

    The text integrates contemporary research in biology, psychology, anthropology and sociology, utilizing the biopsychosocial model as the basic explanatory theme for health and health care. Gender, sociocultural and developmental differences in health and related behaviours are also integrated throughout the text. This systems approach is complemented by the integration of life-span development in health and illness in each chapter of the text.

    

    The study of type systems--and of programming languages from a type-theoretic perspective--has important applications in software engineering, language design, high-performance compilers, and security.This text provides a comprehensive introduction both to type systems in computer science and to the basic theory of programming languages. The approach is pragmatic and operational; each new concept is motivated by programming examples and the more theoretical sections are driven by the needs of implementations. Each chapter is accompanied by numerous exercises and solutions, as well as a running implementation, available via the Web. Dependencies between chapters are explicitly identified, allowing readers to choose a variety of paths through the material.The core topics include the untyped lambda-calculus, simple type systems, type reconstruction, universal and existential polymorphism, subtyping, bounded quantification, recursive types, kinds, and type operators. Extended case studies develop a variety of approaches to modeling the features of object-oriented languages.

    Illustrations and examples throughout show you how you can apply research to practice. Studying is made easy with a book-specific website that provides you with tutorial quizzes and links to additional related concepts. Outlines, introductions, boxes, chapter endings with main points, review questions and exercises, and internet exercises provide you with the information and practice you need to succeed in this course.

    This book offers an excellent foundation in ethical decision-making for current and future business managers and IT professionals.

    The book has the hallmark features for which Lippincott's Illustrated Reviews volumes are so popular: an outline format, over 600 full-color illustrations, end-of-chapter summaries, review questions, plus an entire section of clinical case studies with full-color illustrations. This edition's medical/clinical focus has been sharpened to provide a high-yield review. Five additional case studies have been included, bringing the total to nineteen. Review questions have been reformatted to comply with USMLE Step 1 style, with clinical vignettes.

    This title can help you understand why financial markets exist, how financial institutions serve those markets, and the various services those institutions offer.

    Discover the “hidden gold” in Python’s standard library and start writing clean and Pythonic code today. Who Should Read This Book: If you’re wondering which lesser known parts in Python you should know about, you’ll get a roadmap with this book. Discover cool (yet practical!) Python tricks and blow your coworkers’ minds in your next code review. If you’ve got experience with legacy versions of Python, the book will get you up to speed with modern patterns and features introduced in Python 3 and backported to Python 2. If you’ve worked with other programming languages and you want to get up to speed with Python, you’ll pick up the idioms and practical tips you need to become a confident and effective Pythonista. If you want to make Python your own and learn how to write clean and Pythonic code, you’ll discover best practices and little-known tricks to round out your knowledge. What Python Developers Say About The Book: "I kept thinking that I wished I had access to a book like this when I started learning Python many years ago." — Mariatta Wijaya, Python Core Developer"This book makes you write better Python code!" — Bob Belderbos, Software Developer at Oracle"Far from being just a shallow collection of snippets, this book will leave the attentive reader with a deeper understanding of the inner workings of Python as well as an appreciation for its beauty." — Ben Felder, Pythonista"It's like having a seasoned tutor explaining, well, tricks!" — Daniel Meyer, Sr. Desktop Administrator at Tesla Inc.

    The authors help students learn key sociological concepts through real research examples related to the dynamic interplay of race, class, gender, and other social variables.

    It reviews the research from multiple perspectives, but emphasizes the implications of social roles, status, and gender-related traits, particularly for relationships and health-areas that are central to students' lives and that have a great impact on their day-to-day functioning. The text is designed for upper-level undergraduate/graduate-level gender-focused courses in a variety of departments.