Jie Lu – författare

The rise of authoritarian populism and declining popular confidence in democratic institutions has, of late, prompted many declarations that democracy is in crisis. Nevertheless, democracy still enjoys its supremacy in contemporary political discourse, with limited meaningful alternatives. Few of today's authoritarian leaders publicly denounce democracy; instead, they are more inclined to present their regimes as democracies. Furthermore, public opinion surveys show that ordinary citizens still widely and deeply appreciate democracy, even in societies with limited practice of democracy. Democracy is still the "only game" in contemporary political discourse. Given the popularity of democracy, the hotly debated and discussed crisis of democracy is puzzling. If most people love democracy and politicians have to live with democracy (whether they like it or not), how can democracy be in trouble? More specifically, if people love democracy, shouldn't they despise authoritarian leaders and regimes, or even join the advocates of democracy to rebel against authoritarianism?To address these questions, Understandings of Democracy looks at both the practices of political elites and key dynamics that drive mass attitudes and behaviors. Jie Lu and Yun-han Chu argue that mass attitudes and behaviors are greatly affected by how people understand democracy. More specifically, they make the following arguments: people hold distinct understandings of democracy; popular conceptions of democracy are significantly shaped by surrounding socioeconomic and political contexts; such varying conceptions generate different baselines for people to assess democratic practices and to establish their views of democracy; and such distinct conceptions also drive political participation in different ways. Overall, popular understandings of democracy shape how citizens respond to authoritarian or populist practices and offer significant explanatory power for understanding why democracy is in trouble in today's world, even when most people profess to love democracy. Using large-scale comparative surveys and survey experiments from seventy-two societies and a national survey in the United States, Understandings of Democracy captures how people respond when presented with the tradeoffs between the intrinsic and instrumental values of democracy, as well as the attitudinal and behavioral implications of such responses.

It is well understood that "good institutions" are essential for good governance. But even institutions that follow similar designs vary significantly with regard to performance across countries and even across regions within the same country. Following China's abolishment of the Commune system to accommodate market-oriented reforms in the 1980s, decentralized, grassroots democracy was introduced in rural China in order to improve the quality of local governance. In this book, Jie Lu looks at variance among local governance institutions in China to examine under what conditions indigenously cultivated institutions are able to succeed, particularly under pressures of economic modernization. Lu argues that any governance institution can perform effectively as long as it can produce collective action and accountability, but that the relative effectiveness of institutions is contingent upon the social environment in which they are embedded. When economic conditions prompt outward migration, social environments are reshaped such that rules-based national institutions will trump indigenous forms. In identifying the optimal social conditions for the good performance of different governance institutions and theorizing the effects of social change on these institutions, Lu deepens understanding of how institutions, particularly in developing countries, change, and under what conditions institutional modernization or engineering may succeed or fail.Varieties of Governance in China is the first book to use a coherent framework to simultaneously examine various aspects of rural China's governance-including public goods provision, conflict resolution, disaster and crisis relief, and raising modest credit and small loans-covering both formal and informal institutions. It is also the first book to systematically examine how community structural transformation, primarily driven by rural-urban migration, affects the performance and change of institutions in rural China, as well as their implications for Chinese villages' decentralized governance.

China’s literary and cultural production at the turn of the twenty-first century is marked by heterogeneity, plurality, and diversity. Given its complexity, the literary/cultural production of this period perhaps can be understood most productively as a response to a global modernity that has touched and transformed all aspects of contemporary Chinese reality.The eleven essays in this book offer an introduction to some of the most important works published at the turn of the twenty-first century. In combining textual analysis of specific works with theoretical insights, and in locating the texts in their sociocultural and socioeconomic contexts, the essays explore key theoretical issues and intellectual concerns of the time. They collectively draw a broad contour of new developments, major trends, and radical changes, capturing the intellectual and cultural Zeitgeist of the age. All in all, these essays offer new theoretical approaches to, and critical perspectives on, contemporary Chinese literature and culture.

Against the dire consequences of China’s market development, a new intellectual force of the New Left has come on the scene since the mid 1990s. New Left intellectuals debate the issues of social justice, distributive equality, markets, state intervention, the socialist legacy, and sustainable development. Against the neoliberal trends of free markets, liberal democracy, and consumerism, New Left critics launched a critique in hopes of seeking an alternative to global capitalism. This volume takes a comprehensive look at China’s New Left in intellectual, cultural, and literary manifestations. The writers place the New Left within a global anti-hegemonic movement and the legacy of the Cold War. They discover grassroots literature that portrays the plight and resilience of the downtrodden and disadvantaged. With historical visions the writers also shed light on the present by drawing on the socialist past.

China’s literary and cultural production at the turn of the twenty-first century is marked by heterogeneity, plurality, and diversity. Given its complexity, the literary/cultural production of this period perhaps can be understood most productively as a response to a global modernity that has touched and transformed all aspects of contemporary Chinese reality.The eleven essays in this book offer an introduction to some of the most important works published at the turn of the twenty-first century. In combining textual analysis of specific works with theoretical insights, and in locating the texts in their sociocultural and socioeconomic contexts, the essays explore key theoretical issues and intellectual concerns of the time. They collectively draw a broad contour of new developments, major trends, and radical changes, capturing the intellectual and cultural Zeitgeist of the age. All in all, these essays offer new theoretical approaches to, and critical perspectives on, contemporary Chinese literature and culture.

This book proposes a set of models to describe fuzzy multi-objective decision making (MODM), fuzzy multi-criteria decision making (MCDM), fuzzy group decision making (GDM) and fuzzy multi-objective group decision-making problems, respectively. It also gives a set of related methods (including algorithms) to solve these problems. One distinguishing feature of this book is that it provides two decision support systems software for readers to apply these proposed methods. A set of real-world applications and some new directions in this area are then described to further instruct readers how to use these methods and software in their practice.

This critical interdisciplinary volume investigates modern and contemporary Asian cultural products in the non-westernized transpacific context of Asian and Latin American intellectual and cultural connections.

This critical interdisciplinary volume investigates modern and contemporary Asian cultural products in the non-westernized transpacific context of Asian and Latin American intellectual and cultural connections.

Business organizations and governments are nowadays developing and providing internet based electronic services (e-services) featuring various intelligent functions. E-Service Intelligence integrates intelligent techniques into e-service systems for realizing intelligent internet information searching, presentation, provision, recommendation, online system design, implementation, and assessment to internet users. This book offers a thorough introduction and systematic overview of the new field and covers the state-of-the-art of the research and development in E-Service Intelligence ranging from e-services and/or intelligent techniques to web information presentation, search, and mining, to personalization, privacy, and trust in e-services, to e-service evaluation, optimization and knowledge discovery, and to intelligent e-service system developments.

Cognition-driven decision support system (DSS) has been recognized as a paradigm in the research and development of business intelligence (BI). Cognitive decision support aims to help managers in their decision making from human cognitive aspects, such as thinking, sensing, understanding and predicting, and fully reuse their experience. Among these cognitive aspects, decision makers’ situation awareness (SA) and mental models are considered to be two important prerequisites for decision making, particularly in ill-structured and dynamic decision situations with uncertainties, time pressure and high personal stake. In today’s business domain, decision making is becoming increasingly complex. To make a successful decision, managers’ SA about their business environments becomes a critical factor.This book presents theoretical models as well practical techniques of cognitiondriven DSS. It first introduces some important concepts of cognition orientation in decision making process and some techniques in related research areas including DSS, data warehouse and BI, offering readers a preliminary for moving forward in this book. It then proposes a cognition-driven decision process (CDDP) model which incorporates SA and experience (mental models) as its central components. The goal of the CDDP model is to facilitate cognitive decision support to managers on the basis of BI systems. It also presents relevant techniques developed to support the implementation of the CDDP model in a BI environment. Key issues addressed of a typical business decision cycle in the CDDP model include: natural language interface for a manager’s SA input, extraction of SA semantics, construction of data warehouse queries based on the manger’s SA and experience, situation information retrieval from data warehouse, how the manager perceives situation information and update SA, how the manager’s SA leads to a final decision. Finally, a cognition-driven DSS, FACETS, and twoillustrative applications of this system are discussed.

Business organizations and governments are nowadays developing and providing internet based electronic services (e-services) featuring various intelligent functions. E-Service Intelligence integrates intelligent techniques into e-service systems for realizing intelligent internet information searching, presentation, provision, recommendation, online system design, implementation, and assessment to internet users. This book offers a thorough introduction and systematic overview of the new field and covers the state-of-the-art of the research and development in E-Service Intelligence ranging from e-services and/or intelligent techniques to web information presentation, search, and mining, to personalization, privacy, and trust in e-services, to e-service evaluation, optimization and knowledge discovery, and to intelligent e-service system developments.

This book presents innovative theories, methodologies, and techniques in the field of risk management and decision making. It introduces new research developments and provides a comprehensive image of their potential applications to readers interested in the area. The collection includes: computational intelligence applications in decision making, multi-criteria decision making under risk, risk modelling,forecasting and evaluation, public security and community safety, risk management in supply chain and other business decision making, political risk management and disaster response systems.The book is directed to academic and applied researchers working on risk management, decision making, and management information systems.

Cognition-driven decision support system (DSS) has been recognized as a paradigm in the research and development of business intelligence (BI). Cognitive decision support aims to help managers in their decision making from human cognitive aspects, such as thinking, sensing, understanding and predicting, and fully reuse their experience. Among these cognitive aspects, decision makers’ situation awareness (SA) and mental models are considered to be two important prerequisites for decision making, particularly in ill-structured and dynamic decision situations with uncertainties, time pressure and high personal stake. In today’s business domain, decision making is becoming increasingly complex. To make a successful decision, managers’ SA about their business environments becomes a critical factor.This book presents theoretical models as well practical techniques of cognitiondriven DSS. It first introduces some important concepts of cognition orientation in decision making process and some techniques in related research areas including DSS, data warehouse and BI, offering readers a preliminary for moving forward in this book. It then proposes a cognition-driven decision process (CDDP) model which incorporates SA and experience (mental models) as its central components. The goal of the CDDP model is to facilitate cognitive decision support to managers on the basis of BI systems. It also presents relevant techniques developed to support the implementation of the CDDP model in a BI environment. Key issues addressed of a typical business decision cycle in the CDDP model include: natural language interface for a manager’s SA input, extraction of SA semantics, construction of data warehouse queries based on the manger’s SA and experience, situation information retrieval from data warehouse, how the manager perceives situation information and update SA, how the manager’s SA leads to a final decision. Finally, a cognition-driven DSS, FACETS, and twoillustrative applications of this system are discussed.

This volume is a tribute to Professor Dr Da Ruan, who passed away suddenly on July 31, 2011, aged 50. The flood of emails that spread throughout the fuzzy logic research community with the tragic news was testimony to the respect and liking felt for this remarkable man. Da was a hardworking , highly productive scientist who, during his short life, published 35 books and more than 250 research papers in highly ranked journals and conference proceedings. He established two successful conferences, FLINS and ISKE, as well as the international journal, JCIS. This book is a collection of contributions from 88 of Da's academic friends from 47 institutes, presented in 60 chapters and over 70 pictures. A Foreword by Lotfi Zadeh begins Da's story. Section 1 provides an overview of Da's funeral on August 6, 2011. Part II outlines Da’s scientific life, his education, scientific career, publications and keynote talks. Part III presents testimonials by Da's colleagues of academic activities, including guest professorships and his many visits to foreign institutes. Part IV contains thirty contributions from colleagues and friends across the world to describe their collaborative experience with Da. We hope this book will keep the memory of Da alive – great scientist, great friend, great humanitarian. He will remain in our hearts forever.

This volume is a tribute to Professor Dr Da Ruan, who passed away suddenly on July 31, 2011, aged 50. The flood of emails that spread throughout the fuzzy logic research community with the tragic news was testimony to the respect and liking felt for this remarkable man. Da was a hardworking , highly productive scientist who, during his short life, published 35 books and more than 250 research papers in highly ranked journals and conference proceedings. He established two successful conferences, FLINS and ISKE, as well as the international journal, JCIS. This book is a collection of contributions from 88 of Da's academic friends from 47 institutes, presented in 60 chapters and over 70 pictures. A Foreword by Lotfi Zadeh begins Da's story. Section 1 provides an overview of Da's funeral on August 6, 2011. Part II outlines Da’s scientific life, his education, scientific career, publications and keynote talks. Part III presents testimonials by Da's colleagues of academic activities, including guest professorships and his many visits to foreign institutes. Part IV contains thirty contributions from colleagues and friends across the world to describe their collaborative experience with Da. We hope this book will keep the memory of Da alive – great scientist, great friend, great humanitarian. He will remain in our hearts forever.

This monograph presents new developments in multi-level decision-making theory, technique and method in both modeling and solution issues. It especially presents how a decision support system can support managers in reaching a solution to a multi-level decision problem in practice.

This book presents innovative theories, methodologies, and techniques in the field of risk management and decision making. It introduces new research developments and provides a comprehensive image of their potential applications to readers interested in the area. The collection includes: computational intelligence applications in decision making, multi-criteria decision making under risk, risk modelling,forecasting and evaluation, public security and community safety, risk management in supply chain and other business decision making, political risk management and disaster response systems.The book is directed to academic and applied researchers working on risk management, decision making, and management information systems.

This monograph presents new developments in multi-level decision-making theory, technique and method in both modeling and solution issues. It especially presents how a decision support system can support managers in reaching a solution to a multi-level decision problem in practice.

This book focuses on mobile learning design from both theoretical and practical perspectives. It introduces and discusses how mobile learning can be effectively integrated into curricula, highlighting the design of four key components of learning-centric pedagogy: Resource, Activity, Support and Evaluation in the context of mobile learning. It also investigates the learning theories underpinning mobile learning design, and includes case studies in different contexts. It provides practical insights that allow teachers to change and transform teaching practices using mobile technology. Anyone involved in mobile-technology enhanced learning and teaching will find this book both informative and useful.

This book focuses on mobile learning design from both theoretical and practical perspectives. It introduces and discusses how mobile learning can be effectively integrated into curricula, highlighting the design of four key components of learning-centric pedagogy: Resource, Activity, Support and Evaluation in the context of mobile learning. It also investigates the learning theories underpinning mobile learning design, and includes case studies in different contexts. It provides practical insights that allow teachers to change and transform teaching practices using mobile technology. Anyone involved in mobile-technology enhanced learning and teaching will find this book both informative and useful.

FLINS, an acronym introduced in 1994 and originally for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended into a well-established international research forum to advance the foundations and applications of computational intelligence for applied research in general and for complex engineering and decision support systems.The principal mission of FLINS is bridging the gap between machine intelligence and real complex systems via joint research between universities and international research institutions, encouraging interdisciplinary research and bringing multidiscipline researchers together.FLINS 2020 is the fourteenth in a series of conferences on computational intelligence systems.

Recommender systems provide users (businesses or individuals) with personalized online recommendations of products or information, to address the problem of information overload and improve personalized services. Recent successful applications of recommender systems are providing solutions to transform online services for e-government, e-business, e-commerce, e-shopping, e-library, e-learning, e-tourism, and more.This unique compendium not only describes theoretical research but also reports on new application developments, prototypes, and real-world case studies of recommender systems. The comprehensive volume provides readers with a timely snapshot of how new recommendation methods and algorithms can overcome challenging issues. Furthermore, the monograph systematically presents three dimensions of recommender systems — basic recommender system concepts, advanced recommender system methods, and real-world recommender system applications.By providing state-of-the-art knowledge, this excellent reference text will immensely benefit researchers, managers, and professionals in business, government, and education to understand the concepts, methods, algorithms and application developments in recommender systems.

FLINS, an acronym originally for Fuzzy Logic and Intelligent Technologies in Nuclear Science, was inaugurated by Prof. Da Ruan of the Belgian Nuclear Research Center (SCK·CEN) in 1994 with the purpose of providing PhD and Postdoc researchers with a platform to present their research ideas in fuzzy logic and artificial intelligence. For more than 28 years, FLINS has been expanded to include research in both theoretical and practical development of computational intelligent systems.With this successful conference series: FLINS1994 and FLINS1996 in Mol, FLINS1998 in Antwerp, FLINS2000 in Bruges, FLINS2002 in Gent, FLINS2004 in Blankenberge, FLINS2006 in Genova, FLINS2008 in Marid, FLINS2010 in Chengdu, FLINS2012 in Istanbul, FLINS2014 in Juan Pesoa, FLINS2016 in Roubaix, FLINS2018 in Belfast and FLINS2020 in Cologne, FLINS2022 was organized by Nankai University, and co-organized by Southwest Jiaotong University, University of Technology Sydney and Ecole Nationale Supérieure des Arts et Industries Textiles of University of Lille. This unique international research collaboration has provided researchers with a platform to share and exchange ideas on state-of-art development in machine learning, multi agent and cyber physical systems.Following the wishes of Prof. Da Ruan, FLINS2022 offered an international platform that brought together mathematicians, computer scientists, and engineers who are actively involved in machine learning, intelligent systems, data analysis, knowledge engineering and their applications, to share their latest innovations and developments, exchange notes on the state-of-the-art research ideas, especially in the areas of industrial microgrids, intelligent wearable systems, sustainable development, logistics, supply chain and production optimization, evaluation systems and performance analysis, as well as risk and security management, that have now become part and parcel of Fuzzy Logic and Intelligent Technologies in Nuclear Science.This FLINS2022 Proceedings has selected 78 conference papers that cover the following seven areas of interests:

FLINS and ISKE are two well-established international conferences, both launched by Da Ruan (1960-2011), that share a common objective: to link the theoretical foundations of computational intelligence with its applications to complex engineering and multidisciplinary decision making problems, by putting together research institutions and industries, covering all the fields related to uncertainty management, operational research and artificial intelligence, including observation and experimentation, information processing, unavoidable ethical considerations and future trends in artificial neural networks, classification, clustering, computing with words, decision-making, evolutionary/genetic algorithms, expert systems, feature extraction, fuzzy systems, geographic information systems, intelligent systems, machine learning, optimization, soft computing, and applications related to these topics as water, energy and environmental management, among others.FLINS is the acronym introduced in 1994 standing for Fuzzy Logic and Intelligent Technologies in Nuclear Science; and ISKE is the acronym for Intelligent Systems and Knowledge Engineering, launched in 2006. Every two years both conferences are organized jointly. This is the Proceedings of FLINS-ISKE 2024, held in Madrid (Spain), in July 16-21 2024.

This book aims to summarize the research progress of integrated PET/MR brain function and molecular imaging, and more importantly, clinical application and research status of PET/MR of brain imaging from brain diseases to brain science.

This book aims to summarize the research progress of integrated PET/MR brain function and molecular imaging, and more importantly, clinical application and research status of PET/MR of brain imaging from brain diseases to brain science.

FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence for applied research. The contributions to the 11th of FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, both from the foundations and the applications points-of-view.

FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence for applied research. The contributions to the eighth edition in the series of FLINS conferences cover state-of-the-art research, development, and technology for computational intelligence systems in general, and for intelligent decision and control in particular.