We effortlessly recognize all sorts of events- from simple events like people walking to complex events like leaves blowing in the wind. We can also remember and describe these events, and in general, react appropriately to them, for example, in avoiding an approaching object. Our phenomenal ease interacting with events belies the complexity of the underlying processes we use to deal with them. Driven by an interest in these complex processes, research on event perception has been growing rapidly. Events are the basis of all experience, so understanding how humans perceive, represent, and act on them will have a significant impact on many areas of psychology. Unfortunately, much of the research on event perception- in visual perception, motor control, linguistics, and computer science- has progressed without much interaction. This volume is the first to bring together computational, neurological, and psychological research on how humans detect, classify, remember, and act on events. The book will provide professional and student researchers with a comprehensive collection of the latest research in these diverse fields.

Logistics management is increasingly being seen as a source of competitive strength. Its effective use provides potential for cost reduction and the opportunity for increasing market share. The second edition discusses the role of logistics in achieving corporate and financial goals. Updated and expanded with more checklists, more short cases and executive summaries, this is an invaluable guide for all logistics and distribution managers.

The documentation of young children's learning plays a vital role in the pre-schools of Reggio Emilia. This leading edge approach to bringing record-keeping and assessment into the heart of young children's learning is envied and emulated by educators around the world.
This unique, accessible and inspiring book is based upon a documentary approach successfully implemented by Stirling Council in Scotland, whose pre-school educators experienced dramatic improvements in their understandings about young children, how they learn and the potential unleashed in successfully engaging families in the learning process.

This book provides a concise and much-needed introduction to the sociology of fashion. Most studies do not make a clear distinction between clothing and fashion. Kawamura argues that clothing is a tangible product whereas fashion is a symbolic cultural product. She debunks the myth of "the genius designer" and explains that fashion is not about clothes but is a belief. There is an institutional structure, ignored by many fashion theorists, that has shaped and produced the fashion phenomenon. Kawamura further shows how the structural nature of the fashion system works to legitimize designers' creativity and can make them successful. Newer fashion cities, such as Milan and New York, are the product of the fashion system that originated in Paris. Without that systemic structure, fashion culture would not exist.

Here is the eagerly awaited new edition of Media Poetry: An international Anthology, reproducing every one of the fundamental texts from the first, 1996 edition, and brought completely up to date and expanded by poet and visual artist Eduardo Kac. It is a comprehensive volume, offering a global view of experimental poetry that requires contemporary media to be created, presented, and read. With a new introduction by Kac and featuring 18 chapters, more than twice as many as the 1996 edition, it also includes a Media Poetry Chronology and a Selected Webliography, giving the reader access to the work of 44 poets and 20 sites that collect, promote, and discuss media poetry. Authors documented originate from or work in Europe, Asia, South and North America, Australia, and the Middle East. This second edition of an anthology long considered a classic is certain to become the definitive book on media poetry for our time.

Drug Abuse: Etiology, Prevention, and Cessation serves as a comprehensive source of information on the topography of, causes of, and solutions to drug problems. The text covers conceptual issues regarding definitions of drug use, misuse, abuse, and dependence. Importantly, the text addresses a variety of theoretical bases currently applied to the development of prevention and cessation programs, specific program content from evidence-based programs, and program processes and modalities. Information regarding etiology, prevention, and cessation is neatly delineated into (a) neurobiological, (b) cognitive, (c) micro-social, and (d) macro-social/physical environmental units. The book is ideally suited as a primary source for students and professionals in chemical dependence programs, clinical and health psychology, public health, preventive medicine, nursing, sociology, and social work, among other fields, on the nature, causes, prevention, and cessation of the abuse of legal and illegal drugs.

Writing about multivariate analysis is a surprisingly common task. Researchers use these advanced statistical techniques to examine relationships among multiple variables, such as exercise, diet, and heart disease, or to forecast information such as future interest rates or unemployment. Many different people, from social scientists to government agencies to business professionals, depend on the results of multivariate models to inform their decisions. At the same time, many researchers have trouble communicating the purpose and findings of these models. Too often, explanations become bogged down in statistical jargon and technical details, and audiences are left struggling to make sense of both the numbers and their interpretation.

Bayesian Nonparametrics via Neural Networks is the first book to focus on neural networks in the context of nonparametric regression and classification, working within the Bayesian paradigm. It discusses neural networks in a statistical context, an approach in contrast to existing books, which tend to treat neural networks as a machine learning algorithm instead of a statistical model. Once this underlying statistical model is recognized, other standard statistical techniques can be applied to improve the model. The Bayesian approach allows better accounting for uncertainty. This book covers uncertainty in model choice and ways to deal with this issue, exploring ideas from statistics and machine learning. An analysis on the choice of prior and new noninformative priors is included, along with a substantial literature review. Written for statisticians using statistical terminology, this book will lead statisticians to an increased understanding of the neural network model and its applicability to real-world problems.

Volume I deals with Theory and Volume II deals with Documentation and Listings of Original Lanczos Codes.

The Lanczos Method: Evolution and Application is divided into two distinct parts. The first part reviews the evolution of one of the most widely used numerical techniques in the industry. The development of the method, as it became more robust, is demonstrated through easy-to-understand algorithms. The second part contains industrial applications drawn from the author’s experience. These chapters provide a unique interaction between the numerical algorithms and their engineering applications. This is a valuable reference for numerical analysts and engineers and can be used as a supplementary or reference text at the graduate level. Readers should be familiar with basic linear algebra and numerical analysis.

This book presents new and powerful advanced statistical methods that have been used in modern medicine, drug development, and epidemiology. Some of these methods were initially developed for tackling medical problems.

All 29 chapters are self-contained. Each chapter represents the new development and future research topics for a medical or statistical branch. For the benefit of readers with different statistical background, each chapter follows a similar style: the explanation of medical challenges, statistical ideas and strategies, statistical methods and techniques, mathematical remarks and background and reference. All chapters are written by experts of the respective topics.

Explores modern topics in graph theory and its applications to problems in transportation, genetics, pollution, perturbed ecosystems, urban services, and social inequalities. The author presents both traditional and relatively atypical graph-theoretical topics to best illustrate applications.

Many situations exist in which solutions to problems are represented as function space integrals. Such representations can be used to study the qualitative properties of the solutions and to evaluate them numerically using Monte Carlo methods. The emphasis in this book is on the behavior of solutions in special situations when certain parameters get large or small.

Simulated annealing has proved to be an easy and reliable method for finding optimal values of a problem in cases where there is no road map to possible solutions. Facts, Conjectures, and Improvements for Simulated Annealing offers an introduction to this topic for novices and provides an informative review of the area for the more expert reader. This book brings together for the first time many of the theoretical foundations for improvements to algorithms for global optimization that until now existed only in scattered research articles. The method described in this book operates by simulating the cooling of a (usually fictitious) physical system whose possible energies correspond to the values of the objective function being minimized. The analogy works because physical systems occupy only states with the lowest energy as the temperature is lowered to absolute zero.