The latest edition offers greatly expanded coverage of directed mutagenesis and protein engineering, therapeutic agents, and genetic engineering of plants. Updated chapters reflect recent developments in biotechnology and the societal issues related to it, such as cloning, gene therapy, and patenting and releasing genetically engineered organisms. Over 480 figures, including 200 that are new in this edition, illustrate all key concepts. "Milestones" summarize important research papers in the history of biotechnology and their effects on the field. As in previous editions, the authors clearly explain all concepts and techniques to provide maximum understanding of the subject, avoiding confusing scientific jargon and excessive detail wherever possible. Each chapter concludes with a summary, references, and review questions. Ideally suited as a text for third- and fourth-year undergraduates as well as graduate students, this book is also an excellent reference for health professionals, scientists, engineers, or attorneys interested in biotechnology.

    It discusses new results, along with applications of probability theory to a variety of problems. The book contains many exercises and is suitable for use as a textbook on graduate-level courses involving data analysis. Aimed at readers already familiar with applied mathematics at an advanced undergraduate level or higher, it is of interest to scientists concerned with inference from incomplete information.

    Illustrated.

    Global warming and associated climate change exists - but the role of humans in that change is entirely debatable. A little-known aspect of modern climate science is that the warming of the global atmosphere-ocean system over the last 100 years, even if entirely human-caused, has progressed at a rate that reduces the threat of future warming by 50% compared to the climate model projections. To the extent warming is partly natural (a possibility even the IPCC acknowledges), the future threat is reduced even further. This, by itself, should be part of the debate over energy policy – but it isn’t. Why? The news media, politicians, bureaucrats, rent-seekers, government funding agencies, and a “scientific-technological elite” (as President Eisenhower called it) have collaborated to spread what amounts to fake climate news. Exaggerated climate claims appear on a daily basis, sucking the air out of more reasoned discussions of the scientific evidence which are too boring for a populace increasingly addicted to climate change porn. Upon close examination it is found that the "97% of climate scientists agree" meme is inaccurate, misleading, and useless for decision-making; human causation of warming is simply assumed by the vast majority of climate researchers. In contrast to what many have been taught, there have been no obvious changes in severe weather, including hurricanes, tornadoes, droughts or floods. Despite an active 2018 wildfire season, there has actually been a long-term decrease in wildfire activity, although that will change if forest management practices are not implemented. Proxy evidence of past temperature and Arctic sea ice changes suggest warming and sea ice decline over the last 50 years or so is not out of the ordinary, and partly or even mostly natural. The Antarctic ice sheet isn't collapsing, but remains stable. The human component of sea level rise is shown to be, at most, only 1 inch per 30 years (25% of the observed rate of rise); and the latest evidence is that more CO2 dissolved in ocean water will be good for marine life, not harmful. Admittedly, continued emissions of CO2 from fossil fuel burning can be expected to cause (and probably has caused) some of our recent warming. But the Paris Agreement, even if extended through the end of the 21st Century, will have no measurable effect on global temperatures because the governments of the world realize humanity will depend upon fossil fuels for decades to come. Despite news reports and politicians' proclamations, international agreements to reduce CO2 emissions are all economic pain for no observable climate gain. What government-mandated reliance on expensive and impractical energy sources will do is increase energy poverty, and poverty kills. This downside to illusory efforts to “Save the Earth” is already being experienced in the UK and elsewhere. If people are genuinely concerned about humanity thriving, they must reject global warming alarmism. In terms of environmental regulation, the end result of the U.S. EPA's Endangerment Finding will be reduced prosperity for all, and climate gain for none. The good news is that there is no global warming crisis, and this book will inform citizens and help guide governments toward decisions which benefit the most people while doing the least harm.

    Dreams aren't really anything like reality. Dreams are, well, they're more dreamy. You can just tell. Things happen in dreams that don't happen in reality. Usually, anyway. An intriguing tale that will instill readers with an abiding sense of philosophical wonder. If you're smitten with Sophie's World, you're sure to be entranced by The Dream Weaver. - Christopher Phillips, author, Socrates Cafe. Jack Bowen's novel is like traveling with Alice to a Wonderland inhabited by the greatest philosophers and scientists who ever lived... A triumph! - Wenda O'Reilly, Ph.D., President, Birdcage Press and author, The Impressionist Art Game. The Dream Weaver is an outstanding how-to-think book... This book is a philosophical odyssey that tackles the mysteries of life, of science, and of the meaning of reality. - Susanne Pari, author, The Fortune Catcher.

    This brief introduction shows how psycholinguistic research can act as a window to the workings of the human mind and the study of consciousness.

    It prepares students to understand and relate the various political ideologies to the general political values of the left, the mainstream, and the right as they appear in contemporary political events and issues and to see clearly how political theory applies to their own lives.

    The universe is all about extremes, and in this engaging and thought-provoking book, astronomer Bryan Gaensler gives a whirlwind tour of the galaxies, with an emphasis on its fastest, hottest, heaviest, brightest, oldest, densest, and even loudest elements. From supernova explosions a billion times brighter than the sun to an asteroid the size of a beach ball, Extreme Cosmos offers a fascinating, fresh, and informed perspective of the remarkable richness of the universe, and the incredible physics that modern astronomy has revealed.

    The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it.In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go.Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    It is a bridge from the computational courses (such as calculus or differential equations) that students typically encounter in their first year of college to a more abstract outlook. It lays a foundation for more theoretical courses such as topology, analysis and abstract algebra. Although it may be more meaningful to the student who has had some calculus, there is really no prerequisite other than a measure of mathematical maturity. Topics include sets, logic, counting, methods of conditional and non-conditional proof, disproof, induction, relations, functions and infinite cardinality.

    VIDEO TRAINING. 12+ HOURS of searchable video training (requires Internet access). If you learn better from videos, watch the videos and use the ebook only for quick reference. If you learn better from books, read the ebook and refer to the videos to see the author demonstrate real world editing techniques. This much video training usually costs over $100 or requires a monthly subscription. 2. 150+ PRESETS. Jump-start your creativity by using the included presets to give your pictures a unique look. Others charge over $200 for this many presets! 3. 50+ RAW PICTURE FILES. Work alongside many of the book's examples, or just learn by experimenting with professional photos. 4. TEACHER & PEER SUPPORT. After buying the book, you get access to the private group on Facebook where you can ask the questions and post pictures for feedback from Tony, Chelsea, and other readers. It’s like being able to raise your hand in class and ask a question! Instructions are in the introduction. With this video book, you ll learn how to instantly find any picture in your library, fix common photography problems, clean up your images, add pop to boring pictures, retouch portraits, make gorgeous prints, create photo books, and even edit your home videos. Tony goes beyond teaching you how to use Lightroom. Tony shows you why and when to use each feature to create stunning, natural photos. When Lightroom is not the best tool, Tony suggests better alternatives. Tony covers every aspect of Lightroom in-depth, but structures his teaching so that both beginner and advanced photographers can learn as efficiently as possible. If you just want a quick start, you can watch the first video or read the first chapter and you'll be organizing and editing your pictures in less than an hour. If you want to know more about a specific feature, switch to that video or jump to that chapter in the ebook. If you want to know everything about Lightroom, watch the videos and read the book from start to finish.

    The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality.Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.

    But as architect William McDonough and chemist Michael Braungart point out in this provocative, visionary book, such an approach only perpetuates the one-way, "cradle to grave" manufacturing model, dating to the Industrial Revolution, that creates such fantastic amounts of waste and pollution in the first place. Why not challenge the belief that human industry must damage the natural world? In fact, why not take nature itself as our model for making things? A tree produces thousands of blossoms in order to create another tree, yet we consider its abundance not wasteful but safe, beautiful, and highly effective.Waste equals food. Guided by this principle, McDonough and Braungart explain how products can be designed from the outset so that, after their useful lives, they will provide nourishment for something new. They can be conceived as "biological nutrients" that will easily reenter the water or soil without depositing synthetic materials and toxins. Or they can be "technical nutrients" that will continually circulate as pure and valuable materials within closed-loop industrial cycles, rather than being "recycled" -- really, downcycled -- into low-grade materials and uses. Drawing on their experience in (re)designing everything from carpeting to corporate campuses, McDonough and Braungart make an exciting and viable case for putting eco-effectiveness into practice, and show how anyone involved with making anything can begin to do as well.