Winner of the AERA Division B Outstanding Book Recognition Award This book examines the dynamics surrounding the education of children in the unofficial schools in China's urban migrant communities. This ethnographic study focuses on both the complex structural factors impacting the education of children attending unofficial migrant children schools and the personal experiences of individuals working within these communities. As the book illustrates in careful detail, the migrant children schools serve a critical function in the community by serving as a hub for organized collective action around shared grievances related to issues of education, employment, wellbeing, and other social rights. In turn, the development of a collective identity among teachers, students, parents, and other members in the migrant communities makes it possible for activists to begin to working to address multiple forms of discrimination and maltreatment while simultaneously moving towards the possibility of more profound social transformation.

This book explores clustering operations in the context of social networks and consensus-reaching paths that take into account non-cooperative behaviors. This book focuses on the two key issues in large-scale group decision-making: clustering and consensus building. Clustering aims to reduce the dimension of a large group. Consensus reaching requires that the divergent individual opinions of the decision makers converge to the group opinion. This book emphasizes the similarity of opinions and social relationships as important measurement attributes of clustering, which makes it different from traditional clustering methods with single attribute to divide the original large group without requiring a combination of the above two attributes. The proposed consensus models focus on the treatment of non-cooperative behaviors in the consensus-reaching process and explores the influence of trust loss on the consensus-reaching process.The logic behind is as follows: firstly, a clustering algorithm is adopted to reduce the dimension of decision-makers, and then, based on the clusters' opinions obtained, a consensus-reaching process is carried out to obtain a decision result acceptable to the majority of decision-makers. Graduates and researchers in the fields of management science, computer science, information management, engineering technology, etc., who are interested in large-scale group decision-making and consensus building are potential audience of this book. It helps readers to have a deeper and more comprehensive understanding of clustering analysis and consensus building in large-scale group decision-making.

The problems of corruption, social injustice, public unrest, disparity in income and regional development, shortage of energy and resources, unemployment, aging population, inadequate social and economic safety network, pollution, etc., are poised to jeopardize political stability and cast a shadow on the moral foundation of economic reform. How to cope with these new problems is a daunting task facing the Chinese leadership and people in the twenty-first century. The new generation of leadership under Hu Jintao has begun to search for solutions and directions. 'Building a harmonious society' based on a 'scientific view of development' has become a new catch phrase in political and academic discourse in China and a newly adopted program by the Chinese government. It is in this context that this edited volume brings together a group of China scholars to discuss the concept and goal of building a harmonious society. This book will be of interest to professors and students of China studies, as well as policy makers and researchers.

Challenges Facing Chinese Political Development is a topical examination of some of the most recent developments in Chinese politics. Featuring a roster of international scholars, the book comprosises an assortment of essays focusing on a particular dimension or specific issue of political culture, political economy, foreign policy, environmental and social challenges. The editors, Sujian Guo and Baogang Guo, have divided the essays into five pairs: Political Legitimacy, Political Economy, External Challenges, Environmental Challenges, and Social Challenges. Each of these dimensions serves as a window through which the reader can glimpse various challenges in Chinese political development in the new century.Challenges Facing Chinese Political Development is suitable for all levels of students and researchers of Chinese Politics.

Challenges Facing Chinese Political Development is a topical examination of some of the most recent developments in Chinese politics. Featuring a roster of international scholars, the book comprosises an assortment of essays focusing on a particular dimension or specific issue of political culture, political economy, foreign policy, environmental and social challenges. The editors, Sujian Guo and Baogang Guo, have divided the essays into five pairs: Political Legitimacy, Political Economy, External Challenges, Environmental Challenges, and Social Challenges. Each of these dimensions serves as a window through which the reader can glimpse various challenges in Chinese political development in the new century.Challenges Facing Chinese Political Development is suitable for all levels of students and researchers of Chinese Politics.

This book explores clustering operations in the context of social networks and consensus-reaching paths that take into account non-cooperative behaviors. This book focuses on the two key issues in large-scale group decision-making: clustering and consensus building. Clustering aims to reduce the dimension of a large group. Consensus reaching requires that the divergent individual opinions of the decision makers converge to the group opinion. This book emphasizes the similarity of opinions and social relationships as important measurement attributes of clustering, which makes it different from traditional clustering methods with single attribute to divide the original large group without requiring a combination of the above two attributes. The proposed consensus models focus on the treatment of non-cooperative behaviors in the consensus-reaching process and explores the influence of trust loss on the consensus-reaching process.The logic behind is as follows: firstly, a clustering algorithm is adopted to reduce the dimension of decision-makers, and then, based on the clusters' opinions obtained, a consensus-reaching process is carried out to obtain a decision result acceptable to the majority of decision-makers. Graduates and researchers in the fields of management science, computer science, information management, engineering technology, etc., who are interested in large-scale group decision-making and consensus building are potential audience of this book. It helps readers to have a deeper and more comprehensive understanding of clustering analysis and consensus building in large-scale group decision-making.

This book constitutes the refereed proceedings of the 12th International Conference on Applications and Techniques in Information Security, ATIS 2021, held as a virtual event in December 2021. The 9 full papers along with the 5 short papers presented in the volume were carefully reviewed and selected from 67 submissions. The papers are focused on all aspects on techniques and applications in information security research.

Despite significant achievements, the discipline of supply chain management is still unable to satisfactorily handle many practical real-world challenges. The authors of Networks Against Time claim that a unified supply chain network analytics framework is needed which should be able to handle optimization and competitive behavior while also maintain relevance to many industrial sectors in which perishable products are prominent, from healthcare to food and from fashion apparel to technology. This Brief provides a wide range of critical supply chain problems which are modeled as generalized networks. Guidelines are provided to determine the arc multipliers that capture perish ability of the product whether food, radioisotopes, or even highly perishable blood in healthcare over space and time. Through case studies the authors portray the application of the models and algorithms to real-world sectors which illustrate the power of the framework in practice. The models and algorithms are fully described along with the input and output data in the case studies. This level of transparency is useful pedagogically as well as for future research and for applications in practice. Researchers and practitioners in mathematics, in operations research and management science, operations management, as well as in economics and computer science will find this book useful to gain a broader appreciation of the richness of network supply chain structures, processes, and applications. This book can also be used by advanced undergraduate students and graduate students in the disciplines noted above to familiarize themselves with methodologies and supply chain network models and applications.