Jie Chen - Böcker

What kind of role can the middle class play in potential democratization in such an undemocratic, late developing country as China? To answer this profound political as well as theoretical question, Jie Chen explores attitudinal and behavioral orientation of China's new middle class to democracy and democratization. Chen's work is based on a unique set of data collected from a probability-sample survey and in-depth interviews of residents in three major Chinese cities, Beijing, Chengdu and Xi'an--each of which represents a distinct level of economic development in urban China-in 2007 and 2008. The empirical findings derived from this data set confirm that (1) compared to other social classes, particularly lower classes, the new Chinese middle class-especially those employed in the state apparatus-tends to be more supportive of the current Party-state but less supportive of democratic values and institutions; (2) the new middle class's attitudes toward democracy may be accounted for by this class's close ideational and institutional ties with the state, and its perceived socioeconomic wellbeing, among other factors; (3) the lack of support for democracy among the middle class tends to cause this social class to act in favor of the current state but in opposition to democratic changes. The most important political implication is that while China's middle class is not likely to serve as the harbinger of democracy now, its current attitudes toward democracy may change in the future. Such a crucial shift in the middle class's orientation toward democracy can take place, especially when its dependence on the Party-state decreases and perception of its own social and economic statuses turns pessimistic. The key theoretical implication from the findings suggests that the attitudinal and behavioral orientations of the middle class-as a whole and as a part-toward democratic change in late developing countries are contingent upon its with the incumbent state and its perceived social/economic wellbeing, and the middle class's support for democracy in these countries is far from inevitable.

What kind of role can the middle class play in potential democratization in such an undemocratic, late developing country as China? To answer this profound political as well as theoretical question, Jie Chen explores attitudinal and behavioral orientation of China's new middle class to democracy and democratization. Chen's work is based on a unique set of data collected from a probability-sample survey and in-depth interviews of residents in three major Chinese cities, Beijing, Chengdu and Xi'an--each of which represents a distinct level of economic development in urban China-in 2007 and 2008. The empirical findings derived from this data set confirm that (1) compared to other social classes, particularly lower classes, the new Chinese middle class-especially those employed in the state apparatus-tends to be more supportive of the current Party-state but less supportive of democratic values and institutions; (2) the new middle class's attitudes toward democracy may be accounted for by this class's close ideational and institutional ties with the state, and its perceived socioeconomic wellbeing, among other factors; (3) the lack of support for democracy among the middle class tends to cause this social class to act in favor of the current state but in opposition to democratic changes. The most important political implication is that while China's middle class is not likely to serve as the harbinger of democracy now, its current attitudes toward democracy may change in the future. Such a crucial shift in the middle class's orientation toward democracy can take place, especially when its dependence on the Party-state decreases and perception of its own social and economic statuses turns pessimistic. The key theoretical implication from the findings suggests that the attitudinal and behavioral orientations of the middle class-as a whole and as a part-toward democratic change in late developing countries are contingent upon its relationship with the incumbent state and its perceived social/economic wellbeing, and the middle class's support for democracy in these countries is far from inevitable.

This book provides an alternative theoretical approach to the study of ideology in U.S. foreign policy, emphasizing the importance of ideology in foreign relations. Unlike traditional approaches, which tend to neglect the variability of ideological influence, Chen's approach postulates a two-step causal relationship that explains changes in the strength of ideology and their influence on U.S. foreign policy. Changes in objective conditions cause changes in the strength of ideology, and these changes, in turn, create fluctuations in U.S. foreign policy.Chen explores that causal relationship empirically through detailed case studies of U.S. China policy and also, in his concluding analysis, looks at ideology and recent U.S. policies toward Eastern Europe and the Middle East. This book will be of interest to teachers and students of international relations.

Medical Product Safety Evaluation: Biological Models and Statistical Methods presents cutting-edge biological models and statistical methods that are tailored to specific objectives and data types for safety analysis and benefit-risk assessment. Some frequently encountered issues and challenges in the design and analysis of safety studies are discussed with illustrative applications and examples. Medical Product Safety Evaluation: Biological Models and Statistical Methods presents cutting-edge biological models and statistical methods that are tailored to specific objectives and data types for safety analysis and benefit-risk assessment. Some frequently encountered issues and challenges in the design and analysis of safety studies are discussed with illustrative applications and examples. The book is designed not only for biopharmaceutical professionals, such as statisticians, safety specialists, pharmacovigilance experts, and pharmacoepidemiologists, who can use the book as self-learning materials or in short courses or training programs, but also for graduate students in statistics and biomedical data science for a one-semester course. Each chapter provides supplements and problems as more readings and exercises.

Jie Chen and Bruce J. Dickson draw on extensive fieldwork as they explore the extent to which China’s private sector supports democracy, surveying more than 2,000 entrepreneurs in five coastal provinces with over 70 percent of China’s private enterprises.The authors examine who the private entrepreneurs are, how the party-state shapes this group, and what their relationship to the state is. China’s entrepreneurs are closely tied to the state through political and financial relationships, and these ties shape their views toward democracy. While most entrepreneurs favor multi-candidate elections under the current one-party system, they do not support a system characterized by multi-party competition and political liberties, including the right to demonstrate. The key to regime support lies in the capitalists’ political beliefs and their assessment of the government’s policy performance. China’s capitalists tend to be conservative and status-quo oriented, not likely to serve as agents of democratization.This is a valuable contribution not only to the debates over the prospects for democracy in China but also to understanding the process of democratization around the globe.

There is an increasing demand for dynamic systems to become safer and more reliable. This requirement extends beyond the normally accepted safety-critical systems such as nuclear reactors and aircraft, where safety is of paramount importance, to systems such as autonomous vehicles and process control systems where the system availability is vital. It is clear that fault diagnosis is becoming an important subject in modern control theory and practice. Robust Model-Based Fault Diagnosis for Dynamic Systems presents the subject of model-based fault diagnosis in a unified framework. It contains many important topics and methods; however, total coverage and completeness is not the primary concern. The book focuses on fundamental issues such as basic definitions, residual generation methods and the importance of robustness in model-based fault diagnosis approaches. In this book, fault diagnosis concepts and methods are illustrated by either simple academic examples or practical applications. The first two chapters are of tutorial value and provide a starting point for newcomers to this field.The rest of the book presents the state of the art in model-based fault diagnosis by discussing many important robust approaches and their applications. This will certainly appeal to experts in this field. Robust Model-Based Fault Diagnosis for Dynamic Systems targets both newcomers who want to get into this subject, and experts who are concerned with fundamental issues and are also looking for inspiration for future research. The book is useful for both researchers in academia and professional engineers in industry because both theory and applications are discussed. Although this is a research monograph, it will be an important text for postgraduate research students world-wide. The largest market, however, will be academics, libraries and practicing engineers and scientists throughout the world.

Has the current political system in the People's Republic of China lost its legitimacy in the eyes of the Chinese public? On the basis of three carefully drawn surveys of Beijing residents between 1995 and 1999, the author finds that diffuse support for the current political system—based on attitudes toward institutions and values—remains strong, at least among city-dwellers, though it is gradually declining. Specific support for current political authorities, as measured by evaluations of their performance in major policy domains, is much weaker, with many citizens evaluating the authorities' performance as mediocre.In analyzing the longitudinal data presented here, the author finds that the same set of key sociodemographic attributes and sociopolitical orientations variably influence citizens' attitudes toward the political system and their evaluations of leaders' performance. Further, the study shows that citizens' attitudes toward the system, on the one hand, and their evaluation of incumbents' performance on the other, have different impacts on forms of political participation, such as voting and contacting authorities.

Has the current political system in the People's Republic of China lost its legitimacy in the eyes of the Chinese public? On the basis of three carefully drawn surveys of Beijing residents between 1995 and 1999, the author finds that diffuse support for the current political system—based on attitudes toward institutions and values—remains strong, at least among city-dwellers, though it is gradually declining. Specific support for current political authorities, as measured by evaluations of their performance in major policy domains, is much weaker, with many citizens evaluating the authorities' performance as mediocre.In analyzing the longitudinal data presented here, the author finds that the same set of key sociodemographic attributes and sociopolitical orientations variably influence citizens' attitudes toward the political system and their evaluations of leaders' performance. Further, the study shows that citizens' attitudes toward the system, on the one hand, and their evaluation of incumbents' performance on the other, have different impacts on forms of political participation, such as voting and contacting authorities.

This monograph is a self-contained, coherent presentation of the background and progress of the stability of time-delay systems. Focusing on techniques, tools, and advances in numerical methods and optimization algorithms, the authors developed material which, up until now, has been scattered in technical journals and conference proceedings. Special emphasis is placed on systems with uncertainty and stability criteria which can be computationally implemented.  The second edition is major update to reflect the state of art in this field greatly expanding on the original material in addition to two new chapters on Systems of Neutral Type and an Introduction to Frequency Domain Method. Requiring only basic knowledge of linear systems and Lyapunov stability theory, Stability of Time-Delay Systems, 2nd ed is accessible to a broad audience of researchers, professional engineers, and graduate students. It may be used for self-study or as a reference; portions of the text may be used in advanced graduate courses and seminars.

This revised and expanded second edition is an in-depth study of the change point problem from a general point of view, as well as a further examination of change point analysis of the most commonly used statistical models. Change point problems are encountered in such disciplines as economics, finance, medicine, psychology, signal processing, and geology, to mention only several. More recently, change point analysis has been found in extensive applications related to analyzing biomedical imaging data, array Comparative Genomic Hybridization (aCGH) data, and gene expression data. The exposition throughout the work is clear and systematic, with a great deal of introductory material included. Different models are presented in each chapter, including gamma and exponential models, rarely examined thus far in the literature. Extensive examples throughout the text emphasize key concepts and different methodologies used, namely the likelihood ratio criterion as well as the Bayesian and information criterion approaches. New examples of change point analysis in modern molecular biology and other fields such as finance and air traffic control are added in this second edition. Also included are two new chapters on change points in the hazard function and other practical change point models such as the epidemic change point model and a smooth-and-abrupt change point model. An up-to-date comprehensive bibliography and two indices round out the work.

This book presents a systematic and unified approach for modern nonparametric treatment of missing and modified data via examples of density and hazard rate estimation, nonparametric regression, filtering signals, and time series analysis. All basic types of missing at random and not at random, biasing, truncation, censoring, and measurement errors are discussed, and their treatment is explained. Ten chapters of the book cover basic cases of direct data, biased data, nondestructive and destructive missing, survival data modified by truncation and censoring, missing survival data, stationary and nonstationary time series and processes, and ill-posed modifications.The coverage is suitable for self-study or a one-semester course for graduate students with a prerequisite of a standard course in introductory probability. Exercises of various levels of difficulty will be helpful for the instructor and self-study.The book is primarily about practically important small samples. It explains when consistent estimation is possible, and why in some cases missing data should be ignored and why others must be considered. If missing or data modification makes consistent estimation impossible, then the author explains what type of action is needed to restore the lost information.The book contains more than a hundred figures with simulated data that explain virtually every setting, claim, and development. The companion R software package allows the reader to verify, reproduce and modify every simulation and used estimators. This makes the material fully transparent and allows one to study it interactively.Sam Efromovich is the Endowed Professor of Mathematical Sciences and the Head of the Actuarial Program at the University of Texas at Dallas. He is well known for his work on the theory and application of nonparametric curve estimation and is the author of Nonparametric Curve Estimation: Methods, Theory, and Applications. Professor Sam Efromovich is a Fellow of the Institute of Mathematical Statistics and the American Statistical Association.

Understand the principles, practices, and applications of bionanotechnology

This hands-on textbook covers key aspects of bionanotechnology from an engineering perspective. The book delves into a wide variety of topics, including materials science, micro/nano fabrication, general physics, fluid flow, electromagnetics, thermodynamics, molecular biology, immunology, biochemistry, and organic chemistry.

Developed from an advanced engineering course taught by its authors, Bionanotechnology: Engineering Concepts and Applications fully explains all of the underlying concepts and shows how that theory can be directly applied in practical applications. Readers will get examples, problem sets, real-world case studies, and engineering design methodologies that illustrate each concept.

The book contains complete discussions on microfluidics, lab-on-a-chip devices, organ-on-a-chip devices, quantum dots, DNA/RNA technology, micro/nano fabrication techniques, the modelling/simulation of microsystems, and bionanotechnology-based biosensors, targeted therapies, and drug delivery systems.

Combines many different bionanotechnology topics into one resourceBased on a course developed and taught by the authors at the University of AlbertaWritten by recognized experts and experienced educators

This monograph is a self-contained, coherent presentation of the background and progress of the stability of time-delay systems. Focusing on techniques, tools, and advances in numerical methods and optimization algorithms, the authors developed material which, up until now, has been scattered in technical journals and conference proceedings. Special emphasis is placed on systems with uncertainty and stability criteria which can be computationally implemented.  The second edition is major update to reflect the state of art in this field greatly expanding on the original material in addition to two new chapters on Systems of Neutral Type and an Introduction to Frequency Domain Method. Requiring only basic knowledge of linear systems and Lyapunov stability theory, Stability of Time-Delay Systems, 2nd ed is accessible to a broad audience of researchers, professional engineers, and graduate students. It may be used for self-study or as a reference; portions of the text may be used in advanced graduate courses and seminars.

There is an increasing demand for dynamic systems to become more safe and reliable. This requirement extends beyond the normally accepted safety-critical systems of nuclear reactors and aircraft where safety is paramount important, to systems such as autonomous vehicles and fast railways where the system availability is vital. It is clear that fault diagnosis (including fault detection and isolation, FDI) has been becoming an important subject in modern control theory and practice. For example, the number of papers on FDI presented in many control-related conferences has been increasing steadily. The subject of fault detection and isolation continues to mature to an established field of research in control engineering. A large amount of knowledge on model-based fault diagnosis has been ac­ cumulated through the literature since the beginning of the 1970s. However, publications are scattered over many papers and a few edited books. Up to the end of 1997, there is no any book which presents the subject in an unified framework. The consequence of this is the lack of "common language", dif­ ferent researchers use different terminology. This problem has obstructed the progress of model-based FDI techniques and has been causing great concern in research community. Many survey papers have been published to tackle this problem. However, a book which presents the materials in a unified format and provides a comprehensive foundation of model-based FDI is urgently needed.

Medical Product Safety Evaluation: Biological Models and Statistical Methods presents cutting-edge biological models and statistical methods that are tailored to specific objectives and data types for safety analysis and benefit-risk assessment. Some frequently encountered issues and challenges in the design and analysis of safety studies are discussed with illustrative applications and examples. Medical Product Safety Evaluation: Biological Models and Statistical Methods presents cutting-edge biological models and statistical methods that are tailored to specific objectives and data types for safety analysis and benefit-risk assessment. Some frequently encountered issues and challenges in the design and analysis of safety studies are discussed with illustrative applications and examples. The book is designed not only for biopharmaceutical professionals, such as statisticians, safety specialists, pharmacovigilance experts, and pharmacoepidemiologists, who can use the book as self-learning materials or in short courses or training programs, but also for graduate students in statistics and biomedical data science for a one-semester course. Each chapter provides supplements and problems as more readings and exercises.

The overseas Chinese democracy movement (OCDM) is one of the world's longest-running and most difficult exile political campaigns. This unique book is a rare and comprehensive account of its trajectory since its beginnings in the early 1980s, examining its shifting operational environment and the diversification of its activities, as well as characterizing its distinctive features in comparison to other exile movements.Chen Jie takes an empirical approach to the history of the OCDM, drawing on extensive primary sources and his own significant field research, including interviews with major dissident figures. He explores the changing roles of activists since the events of Tiananmen Square and the movement's subsequent heyday, highlighting the diverse positions occupied today as a result of internal division and evolving geopolitical circumstances. Using the analytical framework of exile politics, Chen also examines such issues as China's relationship with Taiwan and the implications of the expanding global Chinese diaspora.Academics and postgraduate students studying Chinese politics and international relations, as well as those with an interest in diaspora studies, will find this book invaluable. It will also provide important understanding of Chinese exiles and activists to government officials and those working in international political foundations, funding bodies and human rights organisations.

In a time when the political developments in China have major implications for the stability of the existing international order, this topical book revisits an enduring topic pertaining to Taiwan’s influence over China’s future.Based on extensive fieldwork, this book gives a holistic account of Taiwan’s mixed and overall declining agency in supporting the causes of democracy and human rights across mainland China and Hong Kong. With a carefully selected group of experts, Chen Jie explores how Taiwan’s successful democratic transition and consolidation inspired many social activists and liberal intellectuals. With a focus on Taiwan’s state and civil society, the book outlines how Taiwan’s agency has waned significantly, largely due to the socio-political campaigns of de-Sinification. The book ultimately finds that Taiwan’s role as a beacon of democracy is manifested by the island’s existence as the only liberal democracy in the Chinese speaking world.The book’s critical investigations into the prospects of political liberalization and democratization in China are vital for students and scholars of Asian politics and policy, human rights, and international relations. Its examination of the role of Taiwan in facilitating democratic transition is also beneficial for international democracy and human rights agencies and policymakers alike.

Glocal control, a term coined by Professor Shinji Hara at The University of Tokyo, represents a new framework for studying behaviour of complex dynamical systems from a feedback control perspective. A large number of dynamical components can be interconnected and interact with each other to form an integrated system with certain functionalities. Such complex systems are found in nature and have been created by man, including gene regulatory networks, neuronal circuits for memory, decision making, and motor control, bird flocking, global climate dynamics, central processing units for computers, electrical power grids, the World Wide Web, and financial markets. A common feature of these systems is that a global property or function emerges as a result of local, distributed, dynamical interactions of components. The objective of 'glocal' (global + local) control is to understand the mechanisms underlying this feature, analyze existing complex systems, and to design and create innovative systems with new functionalities. This book is dedicated to Professor Shinji Hara on the occasion of his 60th birthday, collecting the latest results by leading experts in control theories to lay a solid foundation towards the establishment of glocal control theory in the coming decades.

This book constitutes the refereed proceedings of the Third International Conference on Distributed Artificial Intelligence, DAI 2021, held in Shanghai, China, in December 2021.The 15 full papers presented in this book were carefully reviewed and selected from 31 submissions.

This book investigates the performance limitation issues in networked feedback systems. The fact that networked feedback systems consist of control and communication devices and systems calls for the integration of control theory and information theory. The primary contributions of this book lie in two aspects: the newly-proposed information-theoretic measures and the newly-discovered control performance limitations. We first propose a number of information notions to facilitate the analysis. Using those notions, classes of performance limitations of networked feedback systems, as well as state estimation systems, are then investigated. In general, the book presents a unique, cohesive treatment of performance limitation issues of networked feedback systems via an information-theoretic approach. This book is believed to be the first to treat the aforementioned subjects systematically and in a unified manner, offering a unique perspective differing from existing books.

This authored monograph presents a study on fundamental limits and robustness of stability and stabilization of time-delay systems, with an emphasis on time-varying delay, robust stabilization, and newly emerged areas such as networked control and multi-agent systems. The authors systematically develop an operator-theoretic approach that departs from both the traditional algebraic approach and the currently pervasive LMI solution methods. This approach is built on the classical small-gain theorem, which enables the author to draw upon powerful tools and techniques from robust control theory. The book contains motivating examples and presents mathematical key facts that are required in the subsequent sections. The target audience primarily comprises researchers and professionals in the field of control theory, but the book may also be beneficial for graduate students alike.

This book investigates the performance limitation issues in networked feedback systems. The fact that networked feedback systems consist of control and communication devices and systems calls for the integration of control theory and information theory.

This authored monograph presents a study on fundamental limits and robustness of stability and stabilization of time-delay systems, with an emphasis on time-varying delay, robust stabilization, and newly emerged areas such as networked control and multi-agent systems.

Public housing was once an important strand in western housing policies, but is seldom seen as a mainstream policy instrument for the future. In contrast, in many East Asian countries large public housing programs are underway. Behind these generalizations, there are exceptions, too. By including perspectives of scholars from across the world, this book provides new insights into public housing in its various forms. It contains in-depth chapters on public housing in five East Asian countries and six Western countries, together with three comparative overview chapters.

This book provides a comprehensive analysis of housing affordability under the economic reforms and social transformations in urban China. It also offers an overall review of the current government measures on the housing market and affordable housing policies in China. By introducing a dynamic affordability approach and residual income approach, the book allows us to capture the size of the affordability gap more accurately, to better identify policy targets, and to assess the effectiveness of current public policy. The unique database on urban household surveys and regional information on affordable housing projects serve to strengthen the analysis. The book offers theoretical and empirical insights for in-depth affordability studies and helps readers to understand the social impacts of market reforms and the role of government on the Chinese housing market.

Public housing was once an important strand in western housing policies, but is seldom seen as a mainstream policy instrument for the future. In contrast, in many East Asian countries large public housing programs are underway. Behind these generalizations, there are exceptions, too. By including perspectives of scholars from across the world, this book provides new insights into public housing in its various forms. It contains in-depth chapters on public housing in five East Asian countries and six Western countries, together with three comparative overview chapters.

Multi-objective optimization problems (MOPs) and uncertain optimization problems (UOPs) which widely exist in real life are challengeable problems in the fields of decision making, system designing, and scheduling, amongst others. Decomposition exploits the ideas of ‘making things simple’ and ‘divide and conquer’ to transform a complex problem into a series of simple ones with the aim of reducing the computational complexity. In order to tackle the abovementioned two types of complicated optimization problems, this book introduces the decomposition strategy and conducts a systematic study to perfect the usage of decomposition in the field of multi-objective optimization, and extend the usage of decomposition in the field of uncertain optimization.