It treats issues such as identifying customer needs, design for manufacturing, prototyping, and industrial design.

    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.

    That previous work assumed what Rawls calls a "well-ordered society," one that is stable and relatively homogenous in its basic moral beliefs and in which there is broad agreement about what constitutes the good life. Yet in modern democratic society a plurality of incompatible and irreconcilable doctrines--religious, philosophical, and moral--coexist within the framework of democratic institutions. Recognizing this as a permanent condition of democracy, Rawls asks how a stable and just society of free and equal citizens can live in concord when divided by reasonable but incompatible doctrines?This edition includes the essay "The Idea of Public Reason Revisited," which outlines Rawls' plans to revise "Political Liberalism, " which were cut short by his death."An extraordinary well-reasoned commentary on "A Theory of Justice."..a decisive turn towards political philosophy."--"Times Literary Supplement"

    The first edition contained analyses of Institutional Rational Choice (Ostrom), Multiple Streams (Zahariadis), Punctuated Equilibrium (Jones et al.), Advocacy Coalition Framework (Sabatier and Jenkins-Smith), and Policy Diffusion (Berry and Berry). The second edition revises these and adds new chapters on Social Construction and Policy Design (Schneider et al.) and Policy Networks (Adam and Kriesi). It also contains a much more serious analysis of the European literature relevant to each of the frameworks. Finally, the new edition contains a revised chapter by Edella Schlager, presenting a comparative analysis and evaluation of the relevant frameworks, and a concluding chapter by the editor suggesting a number of strategies for improving the state of theorizing in this field.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    Written by an experienced teacher and examiner, Cambridge IGCSE Biology Workbook helps students build the skills required in both their theory and practical examinations. The exercises in this write-in workbook help to consolidate understanding and get used to using knowledge in new situations, develop information handling and problem solving skills, and develop experimental skills including planning investigations and interpreting results. This accessible book encourages students to engage with the material. The answers to the exercises can be found on the Teacher's Resource CD-ROM.

    -- Alan Dundes. Propp's work is seminal...[and], now that it is available in a new edition, should be even more valuable to folklorists who are directing their attention to the form of the folktale, especially to those structural characteristics which are common to many entries coming from even different cultures. -- Choice

    Molecular Cell Biology stands out from its peers in this course in that it provides a clear introduction to the techniques and experiments of scientists past and present, not just an "encyclopedia" of information.  This experimental emphasis, together with a solid pedagogical framework in the chapters, provides the clearest, most cutting-edge text available.

    The text covers the neuroanatomy that medical and other healthcare students need, with expanded coverage of neurophysiology and inclusion of clinical content providing real-life application of neuroanatomy and neurophysiologic concepts to clinical neurologic disorders. Its readability and enhanced full-color illustrations make it a favorite among both students and faculty.Provides a single-author approach for a more consistent, readable text.Contains summary statement headings to help you find what you're looking for within the text.Provides an outline introducing each chapter to help students organize and stay focused as they learn.Includes appealing four-color, computerized three-dimensional images of the brain and brain structures fully integrated with the text.Complements an Electronic Image Bank that is also available separately.Includes more coverage of neurobiology and neurophysiology.Gives more clinical content, including many images depicting neurologic disorders.Features an expanded section on higher cortical function.Features an expanded section on learning and memory.Contains a new chapter on the development, maintenance, and repair of neural connections-an explosive area of research in neuroscience.Supplies a glossary of key terms.Replaces many of the older figures with new, computer-generated illustrations.

    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.

    A highly respected clinician and researcher, Dr. Trull examines the rigorous research training that clinicians receive, along with the empirically supported assessment methods and interventions that clinical psychologists must understand to be successful in the field. This new edition of Trull's best-selling text covers cutting-edge trends, and offers enhanced coverage of culture, gender and diversity, and contemporary issues of health care. Written to inspire students thinking of pursuing careers in the field of clinical psychology, this text is a complete introduction.

    This easy to follow, step-by step guide to developing reasoning skills even applies the techniques to tasks such as reading, note-taking, and writing.

    The text examines the basics of analog image analysis while placing greater emphasis on digitally based systems and analysis techniques. The presentation is discipline neutral, so students in any field of study can gain a clear understanding of these systems and their virtually unlimited applications.

    The text taps into students' inherent interest in the subject of human development, encouraging them to draw connections between the material and their own experiences.

    It develops an understanding of function and evolution into the discussion of anatomy of the various systems.