Carroll, a recognized leader in the field of evolutionary development, to this new edition of Introduction to Genetic Analysis (IGA). The authors’ ambitious new plans for this edition focus on showing how genetics is practiced today. In particular, the new edition renews its emphasis on how genetic analysis can be a powerful tool for answering biological questions of all types.

    With millions of copies sold, the Publication Manual of the American Psychological Association is the style manual of choice for writers, editors, students, educators, and professionals in psychology, sociology, business, economics, nursing, social work, and justice administration, and other disciplines in which effective communication with words and data is fundamental.In addition to providing clear guidance on grammar, the mechanics of writing, and APA style, the Publication Manual offers an authoritative and easy-to-use reference and citation system and comprehensive coverage of the treatment of numbers, metrication, statistical and mathematical data, tables, and figures for use in writing, reports, or presentations. The new edition has been revised and updated to include: The latest guidelines and examples for referencing electronic and online sources New and revised guidelines for submitting papers electronically Improved guidelines for avoiding plagiarism Simplified formatting guidelines for writers using up-to-date word-processing software All new guidelines for presenting case studies Improved guidelines for the construction of tables Updates on copyright and permissions issues for writers New reference examples for audiovisual media and patents An expanded and improved index for quick and easy access Writers, scholars, and professionals will also find: New guidelines on how to choose text, tables, or figures to present data Guidelines for writing cover letters for submitting articles for publication, plus a sample letter Expanded guidelines on the retention of raw data New advice on establishing written agreements for the use of shared data New information on the responsibilities of co-authors New and experienced readers alike will find the 5th Edition a complete resource for writing, presenting, or publishing with clarity and persuasiveness.Approximately 400 pages

    Physician, researcher, and award-winning science writer, Siddhartha Mukherjee examines cancer with a cellular biologist’s precision, a historian’s perspective, and a biographer’s passion. The result is an astonishingly lucid and eloquent chronicle of a disease humans have lived with - and perished from - for more than five thousand years. The story of cancer is a story of human ingenuity, resilience, and perseverance, but also of hubris, paternalism, and misperception. Mukherjee recounts centuries of discoveries, setbacks, victories, and deaths, told through the eyes of his predecessors and peers, training their wits against an infinitely resourceful adversary that, just three decades ago, was thought to be easily vanquished in an all-out “war against cancer.” The book reads like a literary thriller with cancer as the protagonist. From the Persian Queen Atossa, whose Greek slave cut off her malignant breast, to the nineteenth-century recipients of primitive radiation and chemotherapy to Mukherjee’s own leukemia patient, Carla, The Emperor of All Maladies is about the people who have soldiered through fiercely demanding regimens in order to survive—and to increase our understanding of this iconic disease. Riveting, urgent, and surprising, The Emperor of All Maladies provides a fascinating glimpse into the future of cancer treatments. It is an illuminating book that provides hope and clarity to those seeking to demystify cancer.

    Internationally recognized low back specialist Stuart McGill presents original research to quantify the forces that specific movements and exercises impose on the low back, dispels myths regarding spine stabilization exercises, and suggests prevention approaches and strategies to offset injuries and restore function.Low Back Disorders: Evidence-Based Prevention and Rehabilitation, Second Edition, presents a clear exposition of back anatomy and biomechanics and demonstrates how to interpret the latest research on low back involvement for clinical applications. The text also contains detailed information on injuries associated with seated work and sport and ergonomic issues related to manual handling of materials. With Low Back Disorders: Evidence-Based Prevention and Rehabilitation, Second Edition, you will-gain valuable information on measured loading of the back during specific activities and apply it to avoid common--but counterproductive--practices in back rehabilitation;-learn how to analyze each patient's or client's unique physical characteristics and lifestyle factors to tailor preventive measures and treatments to individual needs;-learn how to help patients and clients progress through the stages of rehabilitation: corrective exercise, stability or mobility, endurance, and strength; and-acquire the information necessary to design an effective injury-prevention program.This fully updated second edition expands knowledge of low back disorders and best practices in several areas. Enhanced algorithms guide progessive therapeutic exercise, and specially designed patient assessment provocation tests aid you in determining the cause of back troubles, guide your choices in the best ways to eliminate problems, and improve the development of appropriate activities for functional gain. Whereas the first edition focused on increasing spine stability, the second edition provides new information on dealing with both regional instability or mobility and regional stiffness present in individuals where most of the motion occurs at a single spinal segment.With an expanded repertoire of pain-free motion exercises and additional information on ways to find and adjust stabilization exercises, Low Back Disorders: Evidence-Based Prevention and Rehabilitation, Second Edition, offers you new tools to help your patients and clients achieve pain-free exertion.The text includes exercises and activities that provide a solid foundation of physical work in preparation for more advanced activities in sports and occupations. Also, the process of transitioning into performance exercise is outlined with an explanation of the critical stages of the performance pyramid, including the design of appropriate corrective exercise, building joint and whole-body stability, enhancing endurance, training true strength, and transitioning to ultimate performance.Low Back Disorders: Evidence-Based Prevention and Rehabilitation, Second Edition, presents foundational information and corresponding clinical applications in a clear, well-sequenced format. Part I builds your knowledge of lumbar function and injury. Part II demonstrates how to use this knowledge to build evidence-based injury-prevention programs by assessing risks, creating ergonomic interventions, and training personnel. Part III focuses on improving rehabilitation techniques, including specific diagnostic and provocative tests, with specific therapeutic exercises proven to enhance performance and reduce pain through a continuum from corrective exercise to stability and mobility, endurance, strength, and power.Additionally, the text offers these practical features to guide your learning and inform your practice:-More than 475 photos, graphs, and charts support the research and the scientific basis for the text's conclusions.-More than 50 tests and exercises with step-by-step instructions help you develop successful programs for your patients and clients.-Special sections highlight how the anatomical, biomechanical, and research results can be applied to clinical situations.-Extensive discussions on individualizing treatment for clients or patients help you improve your assessment skills by learning what questions to ask and what avenues of investigation to pursue with each patient or client.-Reproducible handout sheets for each of the 25 basic rehabilitation exercises, which include photos and blank lines for instructions, enable the creation of instruction sheets tailored to the current needs and progress rates of each patient or client.Cutting-edge research and evidence-based application strategies from the leading spine specialist in North America make Low Back Disorders: Evidence-Based Prevention and Rehabilitation, Second Edition, the authoritative text for study, care, and treatment of the low back. Its unique approach to back care will guide you in developing intervention, rehabilitation, and prevention programs to address the unique needs of each patient or client and develop a strong scientific foundation for your practice.

    It is the definitive reference guide, now in a second edition. Although the first edition was written in 1978, it continues to be a worldwide best-seller. This second edition brings the classic original up to date to include the ANSI standard. From the Preface: We have tried to retain the brevity of the first edition. C is not a big language, and it is not well served by a big book. We have improved the exposition of critical features, such as pointers, that are central to C programming. We have refined the original examples, and have added new examples in several chapters. For instance, the treatment of complicated declarations is augmented by programs that convert declarations into words and vice versa. As before, all examples have been tested directly from the text, which is in machine-readable form. As we said in the first preface to the first edition, C "wears well as one's experience with it grows." With a decade more experience, we still feel that way. We hope that this book will help you to learn C and use it well.

    Written by an author team, including a Noble Prize winner, this text presents the integration of Mendelian and molecular principles, providing students with the links between early genetics understanding and the molecular discoveries that have changed the way the field of genetics is viewed.

    It is a remarkable text that makes an extraordinary amount of recent scholarship accessible and compelling. And with its dramatic new art program, new case studies and pedagogy, and new companion Web site, the Fifth Edition provides both the most up-to-date understanding of the field and the most effective ways to teach and learn it.

    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.

    Its step-by-step approach guides you through the process, helping you formulate a nursing diagnosis based on known information and assessment findings; identify the appropriate nursing diagnosis; and create a care plan that includes desired outcomes, interventions, and evidence-based rationales. Nursing Diagnosis Handbook is an essential care planning resource you will turn to again and again throughout your nursing education and career.Provides care plans for every NANDA-I approved nursing diagnosis.Includes examples of and suggested NIC and NOC interventions and outcomes for each care plan.A convenient A-to-Z organization in Sections I and II helps you quickly locate key information.Evidence-based practice information is incorporated throughout.Includes complete coverage of pediatric, geriatric, and multicultural considerations, as well as home care and client/family teaching guidelines for each condition.A Care Plan Constructor on the Evolve website helps you create customized plans of care.Features the most up-to-date 2007-2008 NANDA-I approved nursing diagnoses, including approximately 15 new, 20 revised, and 5 replacement diagnoses.Provides a more detailed explanation of NIC and NOC taxonomies and their use in care planning.Explanations of assessment versus action interventions help guide you to the correct choice of intervention.Covers important information on concept mapping.Patient/Family Teaching sections offer expanded wellness and health promotion information.Clustered wellness nursing diagnoses are quick and easy to locate.Includes the latest evidence-based nursing rationales.

    With updated coverage and a new look, this landmark 50th Anniversary Edition of the classic reference for veterinary students and practitioners worldwide continues its legacy of top-notch veterinary instruction. Expanded by 400 pages, this new edition includes additional information on new and emerging animal diseases, broadened chapters on emergency and critical care, expanded coverage of exotic and laboratory animals, important coverage of animal-to-human disease transmission, plus many other added and revised chapters. Available from Wiley only in the US, Caribbean, and Latin America.

    One can trace its roots to the Calculus of Variations and the work of Euler and Lagrange. This natural and reasonable approach to mathematical programming covers numerical methods for finite-dimensional optimization problems. It begins with very simple ideas progressing through more complicated concepts, concentrating on methods for both unconstrained and constrained optimization.

    The set includes thirty-one 30-minute MCAT practice exams with answers and explanations and more than 1,600 MCAT questions.

    In this unconventional introduction, physicist Leonard Susskind and hacker-scientist George Hrabovsky offer a first course in physics and associated math for the ardent amateur. Unlike most popular physics books—which give readers a taste of what physicists know but shy away from equations or math—Susskind and Hrabovsky actually teach the skills you need to do physics, beginning with classical mechanics, yourself. Based on Susskind's enormously popular Stanford University-based (and YouTube-featured) continuing-education course, the authors cover the minimum—the theoretical minimum of the title—that readers need to master to study more advanced topics.An alternative to the conventional go-to-college method, The Theoretical Minimum provides a tool kit for amateur scientists to learn physics at their own pace.

    Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.

    Students will find concepts easy-to-understand through the clear writing style and full-color figures that illustrate current technology and trends. Examples and cases are drawn from actual systems projects that enable students to learn in the context of solving problems, much like the ones they will encounter on the job. This approach, combined with motivating tools such as the SCR Associates interactive Web-Based Case Study, Systems Analyst's Toolkit, the Student Study Tool on CD-ROM, and more, makes Systems Analysis and Design, Seventh Edition a wise and exciting choice for your introductory systems analysis and design class.