Bundled (ISBN 9780534633622) textbook with InfoTrac CD-ROM.

    Peter Gray's Psychology has become a favorite of instructors with its exploration of psychology's major theories, and the evidence that supports and refutes these theories.  Each edition incorporates an exceptional amount of contemporary research, encouraging students to probe for the purposes and biological origins of behavior--the "whys" and "hows" of human psychology.  Peter Gray's engaging, readable writing style makes the science of psychology, and its interactions with biology, accessible and meaningful.  With the new edition, Gray has taken care to ensure that his comprehensive, thought-provoking, and contemporary coverage is well-attuned to the needs and interests of today's students.

    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.

    Fully updated and now in two colour, the text is accessible and well structured with numerous real life examples and student learning aids. The text is also accompanied by a fully comprehensive companion web site.

    For the calculus-based General Physics course primarily taken by engineers and scientists.

    Updated to reflect the latest research in the field, and enhanced with more than 1,000 illustrations, most in full-color, the 12th Edition is the most comprehensive and modern approach to understanding medical histology available anywhere.Features: NEW full-color micrographs that comprise a complete atlas of tissue sections highlight the important features of every tissue and organ in the human body. New full-color, easy-to-understand drawings provide just the right level of detail necessary to clarify the text and make learning easier A valuable introductory chapter on laboratory methods used for the study of tissues, including the most important types of microscopy A logical organization that features chapters focusing on the cytoplasmic and nuclear compartment of the cell, the four basic tissues that form the organs, and each organ system Expanded legends that accompany each figure emphasize important points and eliminate the need to jump from image to text Medical applications explain the clinical relevance of each topic Complete coverage of every tissue of the body CD-ROM with all the images from the textVisit www.LangeTextbooks.com to access valuable resources and study aids

    For examples see chapters 3, 4, 5 and 9. * Mechanical property coverage The Sixth Edition maintains its extensive, introductory level coverage of mechanical properties and failure--the most important materials considerations for many engineers. For examples see chapters 6, 7, & 8. * A picture is worth 1000 words! The Sixth Edition judiciously and extensively makes use of illustrations and photographs. The approximate 500 figures include a large number of photographs that show the microstructure of various materials (e.g., Figures 9.12, 10.8, 13.12, 14.15 and 16.5). * Current and up-to-date Students are presented with the latest developments in Material Science and Engineering. Such up-to-date content includes advanced ceramic and polymeric materials, composites, high-energy hard magnetic materials, and optical fibers in communications. For examples see sections 13.7, 15.19, 16.8, 20.9, and 21.14. * Why study These sections at the beginning of each chapter provide the student with reasons why it is important to learn the material covered in the chapter. * Learning objectives A brief list of learning objectives for each chapter states the key learning concepts for the chapter. * Resources to facilitate the materials selection process. Appendix B, which contains 11 properties for a set of approximately 100 materials, is included which be used in materials selection problems. An additional resource, Appendix C, contains the prices for all materials listed in Appendix B. * The text is packaged with a CD-ROM that contains 1) interactive software modules to enhance visualization of three-dimensional objects, 2) additional coverage of select topics, and 3) complete solutions to selected problems from the text in order to assist students in mastering problem-solving.

    It has been widely praised by a generation of users for its solid and effective pedagogy that addresses the needs of a broad range of teaching and learning styles and environments. Each title is just one component in a comprehensive calculus course program that carefully integrates and coordinates print, media, and technology products for successful teaching and learning.

    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.

    Stone—host of Discovery Channel’s former series Most Evil—uses this common emotional reaction to horrifying acts as his starting point to explore the concept and reality of evil from a new perspective. In an in-depth discussion of the personality traits and behavior that constitute evil across a wide spectrum, Dr. Stone takes a clarifying scientific approach to a topic that for centuries has been inadequately explained by religious doctrines.Basing his analysis on the detailed biographies of more than 600 violent criminals, Stone has created a 22-level hierarchy of evil behavior, which loosely reflects the structure of Dante’s Inferno. He traces two salient personality traits that run the gamut from those who commit crimes of passion to perpetrators of the worst crimes—sadistic torture and murder. One trait is narcissism, as exhibited in people who are so self-centered that they have little or no ability to care about their victims. The other is aggression, the use of power over another person to inflict humiliation, suffering, and death.Stone then turns to the various factors that, singly or intertwined, contribute to pushing certain people over the edge into committing heinous crimes. They include heredity, adverse environments, violence-prone cultures, mental illness or brain injury, and abuse of mind-altering drugs. All are considered in the search for the root causes of evil behavior.What do psychology, psychiatry, and neuroscience tell us about the minds of those whose actions could be described as evil? And what will that mean for the rest of us? Stone discusses how an increased understanding of the causes of evil will affect the justice system. He predicts a day when certain persons can safely be declared salvageable and restored to society and when early signs of violence in children may be corrected before potentially dangerous patterns become entrenched.

    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.

    To Lee Goff and his fellow forensic entomologists, each body recovered at a crime scene is an ecosystem, a unique microenvironment colonized in succession by a diverse array of flies, beetles, mites, spiders, and other arthropods: some using the body to provision their young, some feeding directly on the tissues and by-products of decay, and still others preying on the scavengers.Using actual cases on which he has consulted, Goff shows how knowledge of these insects and their habits allows forensic entomologists to furnish investigators with crucial evidence about crimes. Even when a body has been reduced to a skeleton, insect evidence can often provide the only available estimate of the postmortem interval, or time elapsed since death, as well as clues to whether the body has been moved from the original crime scene, and whether drugs have contributed to the death.An experienced forensic investigator who regularly advises law enforcement agencies in the United States and abroad, Goff is uniquely qualified to tell the fascinating if unsettling story of the development and practice of forensic entomology.

    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

    However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

    The streamlined Third Edition of THE BASICS OF SOCIAL RESEARCH focuses particularly on the application of social research, emphasizing the fundamental concepts of both quantitative and qualitative research methods. Inductive chapter openings pose social research problems that are addressed and resolved in each chapter through the application of key chapter concepts. Each chapter contains detailed examples and sections on how to interpret the results of data analysis. The text provides students with the necessary tools for understanding the basics of social research methods and for applying these concepts both inside and outside the classroom.