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Multilevel Grounding develops a new approach to musical meaning—Multilevel-Grounded Semantics, addressing the well- known paradox that music seems full of meaning yet there is little consensus among listeners on what exactly it is that this meaning communicates. Offering a balance between formalist and referentialist approaches, Antovi ć ’s theory proposes that musical signifi cation emerges from constant cross- space mappings between the musical structure and the listener’s experience. The process is crucially constrained by several hierarchical and partly recursive levels of grounding: perceptual, schematically embodied, affective, conceptual, culturally elaborated, and individual. These levels are responsible for a range of phenomena that increase in complexity, from involuntary bodily responses to the manipulation of musical expectancies over cross- modal inferences relating the musical parameters to spatial domains to full- fl edged experiential narratives accompanying the music, as in opera or fi lm scoring. The book combines cutting edge insights from the fi elds of philosophy of mind, cognitive science, semiotics, linguistics, and music cognition, using a broad range of examples from traditional, classical, and popular world musics, into a theoretical system that shows how the focus on the grounding problem may help researchers convincingly resolve the apparent ungraspability of musical semantics.
Design, Control and Application of Modular Multilevel Converters for HVDC Transmission Systems is a comprehensive guide to semiconductor technologies applicable for MMC design, component sizing control, modulation, and application of the MMC technology for HVDC transmission. Separated into three distinct parts, the first offers an overview of MMC technology, including information on converter component sizing, Control and Communication, Protection and Fault Management, and Generic Modelling and Simulation. The second covers the applications of MMC in offshore WPP, including planning, technical and economic requirements and optimization options, fault management, dynamic and transient stability. Finally, the third chapter explores the applications of MMC in HVDC transmission and Multi Terminal configurations, including Supergrids. Key features: Unique coverage of the offshore application and optimization of MMC-HVDC schemes for the export of offshore wind energy to the mainland. Comprehensive explanation of MMC application in HVDC and MTDC transmission technology. Detailed description of MMC components, control and modulation, different modeling approaches, converter dynamics under steady-state and fault contingencies including application and housing of MMC in HVDC schemes for onshore and offshore. Analysis of DC fault detection and protection technologies, system studies required for the integration of HVDC terminals to offshore wind power plants, and commissioning procedures for onshore and offshore HVDC terminals. A set of self-explanatory simulation models for HVDC test cases is available to download from the companion website. This book provides essential reading for graduate students and researchers, as well as field engineers and professionals who require an in-depth understanding of MMC technology.
Exploration of a new integrative intellectual enterprise: the cognitive social sciences. Research in the cognitive sciences has advanced significantly in recent decades. Computational cognitive modeling has profoundly changed the ways in which we understand cognition. Empirical research has progressed as well, offering new insights into many psychological phenomena. This book investigates the possibility of exploiting the successes of the cognitive sciences to establish a better foundation for the social sciences, including the disciplines of sociology, anthropology, economics, and political science. The result may be a new, powerful, integrative intellectual enterprise: the cognitive social sciences. The book treats a range of topics selected to capture issues that arise across the social sciences, covering computational, empirical, and theoretical approaches. The chapters, by leading scholars in both the cognitive and the social sciences, explore the relationship between cognition and society, including such issues as methodologies of studying cultural differences; the psychological basis of politics (for instance, the role of emotion and the psychology of moral choices); cognitive dimensions of religion; cognitive approaches to economics; meta-theoretical questions on the possibility of the unification of social and cognitive sciences. Combining depth and breadth, the book encourages fruitful interdisciplinary interaction across many fields.
Univariate and multivariate multilevel models are used to understand how to design studies and analyze data in this comprehensive text distinguished by its variety of applications from the educational, behavioral, and social sciences. Basic and advanced models are developed from the multilevel regression (MLM) and latent variable (SEM) traditions within one unified analytic framework for investigating hierarchical data. The authors provide examples using each modeling approach and also explore situations where alternative approaches may be more appropriate, given the research goals. Numerous examples and exercises allow readers to test their understanding of the techniques presented. Changes to the new edition include: -The use of Mplus 7.2 for running the analyses including the input and data files at www.routledge.com/9781848725522. -Expanded discussion of MLM and SEM model-building that outlines the steps taken in the process, the relevant Mplus syntax, and tips on how to evaluate the models. -Expanded pedagogical program now with chapter objectives, boldfaced key terms, a glossary, and more tables and graphs to help students better understand key concepts and techniques. -Numerous, varied examples developed throughout which make this book appropriate for use in education, psychology, business, sociology, and the health sciences. -Expanded coverage of missing data problems in MLM using ML estimation and multiple imputation to provide currently-accepted solutions (Ch. 10). -New chapter on three-level univariate and multilevel multivariate MLM models provides greater options for investigating more complex theoretical relationships(Ch.4). -New chapter on MLM and SEM models with categorical outcomes facilitates the specification of multilevel models with observed and latent outcomes (Ch.8). -New chapter on multilevel and longitudinal mixture models provides readers with options for identifying emergent groups in hierarchical data (Ch.9). -New chapter on the utilization of sample weights, power analysis, and missing data provides guidance on technical issues of increasing concern for research publication (Ch.10). Ideal as a text for graduate courses on multilevel, longitudinal, latent variable modeling, multivariate statistics, or advanced quantitative techniques taught in psychology, business, education, health, and sociology, this book’s practical approach also appeals to researchers. Recommended prerequisites are introductory univariate and multivariate statistics.
This series is devoted to new developments and fresh perspectives in theory and research on leadership, within the context of continuing and emerging organizational issues. The series embraces a broad definition of leadership phenomena, including a focus on people, positions, processes, relationships, and situations. The series will advance an applied scholarship model, wherein sound academic work is connected, either directly or more speculatively, to real-world problems and controversies. The series seeks to promote work that aggressively pushes beyond current leadership orthodoxy and critically examines conventional thinking and practices. The series will represent a wide range of organizational, industry, national and global leadership issues. The series will feature entire volumes written by authors and edited volumes with multiple contributors. The series is intended to appeal to academic researchers and professional analysts, and to university instructors looking for thought provoking reference material for classroom use.
A step-by-step guide to solving noise and interference problems in the digital age The rapid growth of digital technology over the past decade has brought the analog world into direct contact with high-speed operations and electromagnetic processes--and created a host of new problems for designers. This new twist requires different approaches to issues of noise and interference in digital processing, high-speed communication, mass data storage, and high-frequency applications. Grounding and Shielding Techniques, Fourth Edition is entirely rewritten to reflect these new challenges. This highly effective tool for the management of interference problems in electronic equipment treats the fundamentals of electrostatics as they relate to electromagnetic phenomena. Specifically, this volume deals with the new interference problems created when analog designs are buried in the middle of hardware that must meet radiation and susceptibility standards. It features: * Effective techniques for handling noise problems in a variety of circumstances * Step-by-step instructions for building noise-free instrument systems * Strategies for reducing or eliminating noise in interconnecting systems * Expanded discussion of multishielded transformers * An overview of current trends to limit the use of transformers * Real-world examples of factors influencing electronic noise * Simplified, practical explanations of the physics of fields * Dozens of illustrations and a clear, readable text. Grounding and Shielding Techniques, Fourth Edition is a state-of-the-art problem-solving guide for electronic design engineers and technicians. It is also an extremely useful text for short courses on electronic noise.
Multilevel modelling is a data analysis method that is frequently used to investigate hierarchal data structures in educational, behavioural, health, and social sciences disciplines. Multilevel data analysis exploits data structures that cannot be adequately investigated using single-level analytic methods such as multiple regression, path analysis, and structural modelling. This text offers a comprehensive treatment of multilevel models for univariate and multivariate outcomes. It explores their similarities and differences and demonstrates why one model may be more appropriate than another, given the research objectives. New to this edition: An expanded focus on the nature of different types of multilevel data structures (e.g., cross-sectional, longitudinal, cross-classified, etc.) for addressing specific research goals; Varied modelling methods for examining longitudinal data including random-effect and fixed-effect approaches; Expanded coverage illustrating different model-building sequences and how to use results to identify possible model improvements; An expanded set of applied examples used throughout the text; Use of four different software packages (i.e., Mplus, R, SPSS, Stata), with selected examples of model-building input files included in the chapter appendices and a more complete set of files available online. This is an ideal text for graduate courses on multilevel, longitudinal, latent variable modelling, multivariate statistics, or advanced quantitative techniques taught in psychology, business, education, health, and sociology. Recommended prerequisites are introductory univariate and multivariate statistics.
While there are many resources available on fire protection and prevention in chemical petrochemical and petroleum plants—this is the first book that pulls them all together in one comprehensive resource. This book provides the tools to develop, implement, and integrate a fire protection program into a company or facility’s Risk Management System. This definitive volume is a must-read for loss prevention managers, site managers, project managers, engineers and EHS professionals. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
The Second Edition provides an overview of current research, theory and practice in this expanding field. The editorial team and the authors come from diverse professional and geographical backgrounds, and provide an unprecedented coverage of topics relating to both culture and climate of modern organizations.