Найти книгу: "On the Geopragmatics of Anthropological Identification"

On the Geopragmatics of Anthropological Identification explores the discursive spaces of our speaking position, or what has routinely been referred to in the literature as the poetics and politics of writing culture. At issue here are its problematic underlying notions of cultural identity, authorial subjectivity and postcolonial critique. Contrary to the widespread assumption that cultural studies and the social sciences share a common discourse of culture and society, Allen Chun argues that 'modern' disciplinary practices and axioms have in fact produced inherently incompatible theories. Anthropology's ethical relativism has also created obstacles for a critical theory of culture and society.

Since Lord Rayleigh introduced the idea of viscous damping in his classic work «The Theory of Sound» in 1877, it has become standard practice to use this approach in dynamics, covering a wide range of applications from aerospace to civil engineering. However, in the majority of practical cases this approach is adopted more for mathematical convenience than for modeling the physics of vibration damping. Over the past decade, extensive research has been undertaken on more general “non-viscous” damping models and vibration of non-viscously damped systems. This book, along with a related book Structural Dynamic Analysis with Generalized Damping Models: Analysis, is the first comprehensive study to cover vibration problems with general non-viscous damping. The author draws on his considerable research experience to produce a text covering: parametric senistivity of damped systems; identification of viscous damping; identification of non-viscous damping; and some tools for the quanitification of damping. The book is written from a vibration theory standpoint, with numerous worked examples which are relevant across a wide range of mechanical, aerospace and structural engineering applications. Contents 1. Parametric Sensitivity of Damped Systems. 2. Identification of Viscous Damping. 3. Identification of Non-viscous Damping. 4. Quantification of Damping. About the Authors Sondipon Adhikari is Chair Professor of Aerospace Engineering at Swansea University, Wales. His wide-ranging and multi-disciplinary research interests include uncertainty quantification in computational mechanics, bio- and nanomechanics, dynamics of complex systems, inverse problems for linear and nonlinear dynamics, and renewable energy. He is a technical reviewer of 97 international journals, 18 conferences and 13 funding bodies.He has written over 180 refereed journal papers, 120 refereed conference papers and has authored or co-authored 15 book chapters.

Because the concept and discoveries of cancer stem cells are relatively new, scientists and researchers need an introduction to this dynamic area. Cancer Stem Cells presents a consolidated account of the research done to date and recent progresses in the studies of cancer stem cells. Such a presentation facilitates a better understanding of and draws attention to stem cell and cancer biology – two fields that enhance, move, and evolve into each other continuously. It provides an informative study in designing approaches to apply stem cell principles to cancer biology while offering an overview of the challenges in developing combination stem and cancer biology targets for therapeutics. This book serves as a primer for new researchers in the field of cancer biology.

A comprehensive guide to the identification, assessment, and treatment of child sexual abuse The field of child sexual abuse has experienced an explosion of research, literature, and enhanced treatment methods over the last thirty years. Representing the latest refinements of thought in this field, Handbook of Child Sexual Abuse: Identification, Assessment, and Treatment combines the most current research with a wealth of clinical experience. The contributing authors, many of whom are pioneers in their respective specialties, include researchers and clinicians, forensic interviewers and law enforcement professionals, caseworkers and victim advocates, all of whom do the work of helping children who have been sexually victimized. Offering a snapshot of the state of the field as it stands today, Handbook of Child Sexual Abuse explores a variety of issues related to child sexual abuse, from identification, assessment, and treatment methods to models for implementation and prevention, including: The impact of sexual abuse on the developing brain The potential implications of early sexual victimization Navigating the complexities of multidisciplinary teams Forensic interviewing and clinical assessment Treatment options for children who have traumagenic symptoms as a response to their sexual victimization Treating children with sexual behavior problems and adolescents who engage in illegal sexual behavior Secondary trauma and vicarious traumatization Cultural considerations and prevention efforts Edited by a leader in the field of child therapy, this important reference equips helping professionals on the front lines in the battle against child sexual abuse—not merely with state-of-the-art knowledge—but also with a renewed vision for the importance of their role in the shaping of our culture and the healing of victimized children.

This book examines genotoxic impurities and their impact on the pharmaceutical industry. Specific sections examine this from both a toxicological and analytical perspective. Within these sections, the book defines appropriate strategies to both assess and ultimately control genotoxic impurities, thus aiding the reader to develop effective control measures. An opening section covers the development of guidelines and the threshold of toxicological concern (TTC) and is followed by a section on safety aspects, including safety tests in vivo and vitro, and data interpretation. The second section addresses the risk posed by genotoxic impurities from outside sources and from mutagens within DNA. In the final section, the book deals with the quality perspective of genotoxic impurities focused on two critical aspects, the first being the analysis and the second how to practically evaluate the impurities.

Nonlinear System Identification: NARMAX Methods in the Time, Frequency, and Spatio-Temporal Domains describes a comprehensive framework for the identification and analysis of nonlinear dynamic systems in the time, frequency, and spatio-temporal domains. This book is written with an emphasis on making the algorithms accessible so that they can be applied and used in practice. Includes coverage of: The NARMAX (nonlinear autoregressive moving average with exogenous inputs) model The orthogonal least squares algorithm that allows models to be built term by term where the error reduction ratio reveals the percentage contribution of each model term Statistical and qualitative model validation methods that can be applied to any model class Generalised frequency response functions which provide significant insight into nonlinear behaviours A completely new class of filters that can move, split, spread, and focus energy The response spectrum map and the study of sub harmonic and severely nonlinear systems Algorithms that can track rapid time variation in both linear and nonlinear systems The important class of spatio-temporal systems that evolve over both space and time Many case study examples from modelling space weather, through identification of a model of the visual processing system of fruit flies, to tracking causality in EEG data are all included to demonstrate how easily the methods can be applied in practice and to show the insight that the algorithms reveal even for complex systems NARMAX algorithms provide a fundamentally different approach to nonlinear system identification and signal processing for nonlinear systems. NARMAX methods provide models that are transparent, which can easily be analysed, and which can be used to solve real problems. This book is intended for graduates, postgraduates and researchers in the sciences and engineering, and also for users from other fields who have collected data and who wish to identify models to help to understand the dynamics of their systems.