This is the first book-length treatment of both the non-positive- and the positive-liberty strands of the republican revival in political and constitutional theory. The republican revival, pursued especially over the last few decades, has presented republicanism as an exciting alternative to the dominant tradition of liberalism. The book provides a sharply different interpretation of liberty from that found in the republican revival, and it argues that this different interpretation is not only historically more faithful to some prominent writers identified with the republican tradition, but is also normatively more attractive. The normative advantages are revealed through discussion of some central concerns relating to democracy and constitutionalism, including the justification for democracy and the interpretation of constitutional rights. The book also looks beyond republican liberty by drawing on the republican device of sortition (selection by lot). It proposes the use of large juries to decide bill-of-rights matters. This novel proposal indicates how democracy might be reconciled with constitutional review based on a bill of rights. Republicanism is not pitted against liberalism: the favoured values and institutions fit with liberal commitments.
The Sage Handbook of Measurement is a unique methodological resource in which Walford, Viswanathan and Tucker draw together contributions from leading scholars in the social sciences, each of whom has played an important role in advancing the study of measurement over the past 25 years. Each of the contributors offers insights into particular measurement related challenges they have confronted and how they have addressed these. Each chapter focuses on a different aspect of measurement, so that the handbook as a whole covers the full spectrum of core issues related to design, method and analysis within measurement studies. The book emphasises issues such as indicator generation and modification, the nature and conceptual meaning of measurement error, and the day-to-day processes involved in developing and using measures. The Handbook covers the full range of disciplines where measurement studies are common: policy studies; education studies; health studies; and business studies.
Combining empirical data with practical experience, Landrum and Hettich provide essential advice and tools to help psychology students survive and thrive in the workplace.
Current interest in fractal dimensions of networks is the result of more than a century of previous research on dimensions. Fractal Dimensions of Networks ties the theory and methods for computing fractal dimensions of networks to the “classic” theory of dimensions of geometric objects. The goal of the book is to provide a unified treatment of fractal dimensions of sets and networks. Since almost all of the major concepts in fractal dimensions originated in the study of sets, the book achieves this goal by first clearly presenting, with an abundance of examples and illustrations, the theory and algorithms for sets, and then showing how the theory and algorithms have been applied to networks. Thus, the book presents the classical theory and algorithms for the box counting dimension for sets, and then presents the box counting dimension for networks. All the major fractal dimensions are studied, e.g., the correlation dimension, the information dimension, the Hausdorff dimension, the multifractal spectrum, as well as many lesser known dimensions. Algorithm descriptions are accompanied by worked examples, many applications of the methods are presented, and many exercises, ranging in difficulty from easy to research level, are included.
This is a textbook for advanced undergraduate students and beginning graduate students in applied mathematics. It presents the basic mathematical foundations of stochastic analysis (probability theory and stochastic processes) as well as some important practical tools and applications (e.g., the connection with differential equations, numerical methods, path integrals, random fields, statistical physics, chemical kinetics, and rare events). The book strikes a nice balance between mathematical formalism and intuitive arguments, a style that is most suited for applied mathematicians. Readers can learn both the rigorous treatment of stochastic analysis as well as practical applications in modeling and simulation. Numerous exercises nicely supplement the main exposition.
This book makes a timely contribution to understanding perceptions on national identity and National Education, with both of them have become controversial topics in Hong Kong Special Administrative Region (SAR) of China. In a so-called globalization era, national identity and National Education, with the latter having an aim of fostering a Chinese national identity in education, have been significantly pushed ahead by the Hong Kong SAR government since the early 2000s as a response to the return of sovereignty to China in 1997. Teacher perception matters to what they select and how they teach in the schools. By incorporating fieldworks of teacher interviews, observation and documentary analysis, this book argues for a multi-layered conception of identity, different aims, contents and diversified methods of National Education should be recognized. This book is likely to become a useful account of teacher perception on national identity and National Education in citizenship education literature, and it will be relevant to policymakers, teachers, trainers and researchers. Chapters include, 1. Different meanings of national identity of teachers and aims, contents and methods of National Education 2. From Citizenship Education to National Education in a Chinese society 3. Implications for understanding National Education in a globalization era: mixed identification, multi-layered identities, knowledge transmission, and ‘global identity’
This book is a comprehensive treatment of inference for hidden Markov models, including both algorithms and statistical theory. Topics range from filtering and smoothing of the hidden Markov chain to parameter estimation, Bayesian methods and estimation of the number of states. In a unified way the book covers both models with finite state spaces and models with continuous state spaces (also called state-space models) requiring approximate simulation-based algorithms that are also described in detail. Many examples illustrate the algorithms and theory. This book builds on recent developments to present a self-contained view.
The new edition of this book provides an easily accessible introduction to the statistical analysis of network data using R. It has been fully revised and can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from basic manipulation and visualization, to summary and characterization, to modeling of network data. The central package is igraph, which provides extensive capabilities for studying network graphs in R. The new edition of this book includes an overhaul to recent changes in igraph. The material in this book is organized to flow from descriptive statistical methods to topics centered on modeling and inference with networks, with the latter separated into two sub-areas, corresponding first to the modeling and inference of networks themselves, and then, to processes on networks. The book begins by covering tools for the manipulation of network data. Next, it addresses visualization and characterization of networks. The book then examines mathematical and statistical network modeling. This is followed by a special case of network modeling wherein the network topology must be inferred. Network processes, both static and dynamic are addressed in the subsequent chapters. The book concludes by featuring chapters on network flows, dynamic networks, and networked experiments. Statistical Analysis of Network Data with R, 2nd Ed. has been written at a level aimed at graduate students and researchers in quantitative disciplines engaged in the statistical analysis of network data, although advanced undergraduates already comfortable with R should find the book fairly accessible as well.
This book presents a synthesis of the work on early football undertaken by the authors over the past two decades. It explores aspects of a figurational approach to sociology to examine the early development of football rules in the middle part of the nineteenth century. The book tests Dunning’s status rivalry hypothesis to contest Harvey’s view of football’s development which stresses an influential sub-culture outside the public schools. Status Rivalry re-states the primacy of these latter institutions in the growth of football and without it the sport’s story would remain skewed and unbalanced for future generations.
This handsome volume features 65 full-color maps charting Manhattan's development from the first Dutch settlement to the present. Each map is placed in context by an accompanying essay.
The field of management research is commonly regarded as or aspires to be a science discipline. As such, management researchers face similar methodological problems as their counterparts in other science disciplines. There are at least two ways that philosophy is connected with management research: ontological and epistemological. Despite an increasing number of scattered philosophy-based discussions of research methodology, there has not been a book that provides a systematic and more comprehensive treatment of the subject. This book addresses this gap in the market and provides new ideas and arguments for guiding management researchers.
Exploring the controversy surrounding therapeutic human cloning, this book draws upon data collected from news articles and interviews with journalists to examine the role of mass media in shaping biomedical controversies. With specific reference to the US and the UK as two leading scientific nations grappling with the global issue of therapeutic cloning, together with attention to the important role played by nations in Southeast Asia, this book sheds light on media representations of scientific developments, the unrealistic hype that can surround them, the influence of religion and the potentially harmful imposition of journalistic and nationalist values on the scientific field. Empirically grounded and theoretically innovative, The Therapeutic Cloning Debate will appeal to social scientists across a range of disciplines with interests in science communication, public engagement, cultural and media studies, science politics, science journalism, the sociology of expert knowledge and risk. It will also appeal to scientists, journalists, policymakers and others interested in how news media frame science for the public.
Includes detailed chapters devoted to each of the five major cultural regions of the Pacific: Australia, Melanesia, Micronesia, Polynesia, and the islands of Southeast Asia.
In recent years there has been an explosion of network data – that is, measu- ments that are either of or from a system conceptualized as a network – from se- ingly all corners of science. The combination of an increasingly pervasive interest in scienti c analysis at a systems level and the ever-growing capabilities for hi- throughput data collection in various elds has fueled this trend. Researchers from biology and bioinformatics to physics, from computer science to the information sciences, and from economics to sociology are more and more engaged in the c- lection and statistical analysis of data from a network-centric perspective. Accordingly, the contributions to statistical methods and modeling in this area have come from a similarly broad spectrum of areas, often independently of each other. Many books already have been written addressing network data and network problems in speci c individual disciplines. However, there is at present no single book that provides a modern treatment of a core body of knowledge for statistical analysis of network data that cuts across the various disciplines and is organized rather according to a statistical taxonomy of tasks and techniques. This book seeks to ll that gap and, as such, it aims to contribute to a growing trend in recent years to facilitate the exchange of knowledge across the pre-existing boundaries between those disciplines that play a role in what is coming to be called ‘network science.
Ideas in mathematical science that might seem intuitively obvious may be proved incorrect with the use of their counterexamples. This monograph concentrates on counterexamples utilized at the intersection of probability and real analysis.
Intended to help anyone who teaches, this book has something of a cult following. Drawing on extensive teaching experience, the author presents a personal account of good practice, written in an engaging and accessible style and based on extensive scholarly sources. Part I 'Learning' and Part II 'Teaching' complement one another, and the book as a whole offers an insight into how to teach in any set of circumstances. It does so without being prescriptive, instead helping teachers to think through their own problems and situations. As a result When Teaching Becomes Learning is a book to which teachers will return on countless occasions. This edition has been updated throughout and now has 2 new chapters - Reflections of Educational Technology, and Why Teach? Chapters are now also divided up so they are each shorter and more user-friendly than before.
Through case studies of newspaper carriers, rural route mail couriers, personal care workers, and freelance editors - four groups who have led pioneering efforts to organize - the authors provide a window into the ways political and economic conditions interact with class, ethnicity, and gender to shape the meaning and strategies of working men and women and show how these strategies have changed over time. They argue that the experiences of these workers demonstrate a pressing need to expand collective bargaining rights to include them.
During the last two decades, in several branches of science (water waves, crystal growth, travelling waves in one dimensional lattices, splitting of separatrices,...) different problems appeared in which the key point is the computation of exponentially small terms. This self-contained monograph gives new and rigorous mathematical tools which enable a systematic study of such problems. Starting with elementary illuminating examples, the book contains (i) new asymptotical tools for obtaining exponentially small equivalents of oscillatory integrals involving solutions of nonlinear differential equations; (ii) implementation of these tools for solving old open problems of bifurcation theory such as existence of homoclinic connections near resonances in reversible systems.
Now in four convenient volumes, Field’s Virology remains the most authoritative reference in this fast-changing field, providing definitive coverage of virology, including virus biology as well as replication and medical aspects of specific virus families. This volume of Field’s Virology: RNA Viruses, Seventh Edition covers the latest information on RNA viruses, how they cause disease, how they can cause epidemics and pandemics, new therapeutics and vaccine approaches, as provided in new or extensively revised chapters that reflect these advances in this dynamic field. Bundled with the eBook, which will be updated regularly as new information about each virus is available, this text serves as the authoritative, up-to-date reference book for virologists, infectious disease specialists, microbiologists, and physicians, as well as medical students pursuing a career in infectious diseases.
Teaching Introduction to Theatrical Design is a week-by-week guide that helps instructors who are new to teaching design, teaching outside of their fields of expertise, or looking for better ways to integrate and encourage non-designers in the design classroom. This book provides a syllabus to teach foundational theatrical design by illustrating process and application of the principals of design in costumes, sets, lights, and sound.
The ultimate guide to podcasting, the fastest growing media platform in the world. A step beyond practial how-to information on podcast production or building a business, Make Noise addresses the art of podcasting, what works and doesn't for successful storytelling on audio, from a true expert in the medium.
Designed for researchers and students, Nonlinear Times Series: Theory, Methods and Applications with R Examples familiarizes readers with the principles behind nonlinear time series models—without overwhelming them with difficult mathematical developments. By focusing on basic principles and theory, the authors give readers the background required to craft their own stochastic models, numerical methods, and software. They will also be able to assess the advantages and disadvantages of different approaches, and thus be able to choose the right methods for their purposes. The first part can be seen as a crash course on "classical" time series, with a special emphasis on linear state space models and detailed coverage of random coefficient autoregressions, both ARCH and GARCH models. The second part introduces Markov chains, discussing stability, the existence of a stationary distribution, ergodicity, limit theorems, and statistical inference. The book concludes with a self-contained account on nonlinear state space and sequential Monte Carlo methods. An elementary introduction to nonlinear state space modeling and sequential Monte Carlo, this section touches on current topics, from the theory of statistical inference to advanced computational methods. The book can be used as a support to an advanced course on these methods, or an introduction to this field before studying more specialized texts. Several chapters highlight recent developments such as explicit rate of convergence of Markov chains and sequential Monte Carlo techniques. And while the chapters are organized in a logical progression, the three parts can be studied independently. Statistics is not a spectator sport, so the book contains more than 200 exercises to challenge readers. These problems strengthen intellectual muscles strained by the introduction of new theory and go on to extend the theory in significant ways. The book helps readers hone their skills in nonlinear time series analysis and their applications.
In the process of tracing poetic and critical responses to the museum and its collections, Poem Exhibitions simultaneously demonstrates the impact of nationalist ideologies and scientific discourse on formal and thematic developments in Romantic poetry and aesthetics.".
Analog circuit design is often the bottleneck when designing mixed analog-digital systems. A Top-Down, Constraint-Driven Design Methodology for Analog Integrated Circuits presents a new methodology based on a top-down, constraint-driven design paradigm that provides a solution to this problem. This methodology has two principal advantages: (1) it provides a high probability for the first silicon which meets all specifications, and (2) it shortens the design cycle. A Top-Down, Constraint-Driven Design Methodology for Analog Integrated Circuits is part of an ongoing research effort at the University of California at Berkeley in the Electrical Engineering and Computer Sciences Department. Many faculty and students, past and present, are working on this design methodology and its supporting tools. The principal goals are: (1) developing the design methodology, (2) developing and applying new tools, and (3) `proving' the methodology by undertaking `industrial strength' design examples. The work presented here is neither a beginning nor an end in the development of a complete top-down, constraint-driven design methodology, but rather a step in its development. This work is divided into three parts. Chapter 2 presents the design methodology along with foundation material. Chapters 3-8 describe supporting concepts for the methodology, from behavioral simulation and modeling to circuit module generators. Finally, Chapters 9-11 illustrate the methodology in detail by presenting the entire design cycle through three large-scale examples. These include the design of a current source D/A converter, a Sigma-Delta A/D converter, and a video driver system. Chapter 12 presents conclusions and current research topics. A Top-Down, Constraint-Driven Design Methodology for Analog Integrated Circuits will be of interest to analog and mixed-signal designers as well as CAD tool developers.
Upon publication, the first edition of the CRC Concise Encyclopedia of Mathematics received overwhelming accolades for its unparalleled scope, readability, and utility. It soon took its place among the top selling books in the history of Chapman & Hall/CRC, and its popularity continues unabated. Yet also unabated has been the d
Challenging the formality and idealized settings of conventional methods teaching and opting instead for a real world approach to social research, this book offers frank, practical advice designed to empower students and researchers alike. Theoretically robust and with an exhaustive coverage of key methodologies and methods the title establishes the cornerstones of social research. Examples reflect research conducted inside and outside formal university settings and range from the extremes of war torn countries to the complexities of school classrooms. Supported by a wealth of learning features and tools the textbook and website include: Video top tips Podcasts Full text journal articles Interviews with researchers conducting field research Links to external websites and blogs Student exercises Real world case studies
Mathematics education in the United States can reproduce social inequalities whether schools use either "basic-skills" curricula to prepare mainly low-income students of color for low-skilled service jobs or "standards-based" curricula to ready students for knowledge-intensive positions. And working for fundamental social change and rectifying injustice are rarely included in any mathematics curriculum. Reading and Writing the World with Mathematics argues that mathematics education should prepare students to investigate and critique injustice, and to challenge, in words and actions, oppressive structures and acts. Based on teacher-research, the book provides a theoretical framework and practical examples for how mathematics educators can connect schooling to a larger sociopolitical context and concretely teach mathematics for social justice.
North America contains an incredibly diverse array of natural environments, each supporting unique systems of plant and animal life. These systems, the largest of which are biomes, form intricate webs of life that have taken millennia to evolve. This richly illustrated book introduces readers to this extraordinary array of natural communities and their subtle biological and geological interactions. Completely revised and updated throughout, the second edition of this successful text takes a qualitative, intuitive approach to the subject, beginning with an overview of essential ecological terms and concepts, such as competitive exclusion, taxa, niches, and succession. It then goes on to describe the major biomes and communities that characterize the rich biota of the continent, starting with the Tundra and continuing with Boreal Forest, Deciduous Forest, Grasslands, Deserts, Montane Forests, and Temperature Rain Forest, among others. Coastal environments, including the Laguna Madre, seagrasses, Chesapeake Bay, and barrier islands appear in a new chapter. Additionally, the book covers many unique features such as pitcher plant bogs, muskeg, the polar ice cap, the cloud forests of Mexico, and the LaBrea tar pits. “Infoboxes” have been added; these include biographies of historical figures who provided significant contributions to the development of ecology, unique circumstances such as frogs and insects that survive freezing, and conservation issues such as those concerning puffins and island foxes. Throughout the text, ecological concepts are worked into the text; these include biogeography, competitive exclusion, succession, soil formation, and the mechanics of natural selection. Ecology of North America 2e is an ideal first text for students interested in natural resources, environmental science, and biology, and it is a useful and attractive addition to the library of anyone interested in understanding and protecting the natural environment.
This second edition of a major textbook uses lively prose and a series of carefully-crafted pedagogical features to both introduce sociology as a discipline and to help students realize how deeply sociological issues impact on their own lives. Over the book's 12 chapters, students discover what sociology is, alongside its historical development and emergent new concerns. They will be led through the theories that underpin the discipline and familiarized with what it takes to undertake good sociological research. Ultimately students will be led and inspired to develop their own sociological imagination – learning to question their own assumptions about the society, the culture and the world around them today. Historically, the majority of introductory sociology textbooks have run to many hundreds of pages, discouraging students from further reading. By contrast, Discovering Sociology has been carefully designed and developed as a true introduction, covering the key ideas and topics that first year undergraduate students need to engage with without sacrificing intellectual rigour. New to this Edition: - Two new chapters adding coverage on crime, deviance and political sociology - Updated examples, Vox Pops and case studies keep this new edition feeling fresh and contemporary and ensure diverse coverage, including from beyond Western sociology - Thoughtfully updated and refreshed layout and visual features. Accompanying online resources for this title can be found at bloomsburyonlineresources.com/discovering-sociology-2e. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.
A catch phrase is a well-known, frequently-used phrase or saying that has `caught on' or become popular over along period of time. It is often witty or philosophical and this Dictionary gathers together over 7,000 such phrases.
This book examines the topic of communication strategies, the ways in which people seek to express themselves or understand what someone else is saying or writing. Typically, the term has referred to the strategies that non-native speakers use to address the linguistic and pragmatic problems encountered in interactions with native and non-native speakers of the language in question. Studies adopting a psycholinguistic perspective are well represented and updated in this volume. Other chapters re-examine communication strategies from a sociolinguistic perspective, exploring the strategies non-native speakers and their conversational partners use to create shared meanings in ongoing discourse. These studies reveal how communication strategies can serve to construct participants' identities and social relationships. Finally, the book incorporates a number of chapters which cover strategy-like behaviour in other related areas, such as language pathology, child bilingualism, normal native adult interaction, and mother tongue education. These studies add fresh dimensions to the study of communication strategies, showing how the concept can usefully be extended beyond the realm of second language acquisition and use, and pointing out the commonalities in many domains of language behaviour.
New cover design - all titles in the Partridge collection now have the same style covers. Group shot of titles will be made available, together with an order form The first edition had life sales of over 19000 copies (hardback), the second edition sold out after selling 6000 copies (hardback) and the paperback has sold nearly 5000 copies in 2 editions
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