The book studies the relationship between economic agglomeration and environmental pollution from a spatial perspective through theoretical analyses and empirical discussions. At both microscopic and macroscopic levels, the author first explores the impact mechanism of the agglomeration of economic activities on environmental pollution and proposes research frameworks based on spatial economic theory and output density theory. Drawing on descriptive statistics and explorative spatial data from 283 cities in China, the book investigates the current development, spatial characteristics, influence path, and environmental efficiency of urban economic agglomeration and pollution in the People's Republic. The following empirical sections study spatial spillover effects, simultaneous bias and spatial interaction between agglomeration and pollution. The research findings give insight into interregional economic development, joint pollution control across regions, and the coordination of the two, especially in the context of developing countries. The title will appeal to researchers, students, government officials and policymakers interested in development economics, regional economics, urban economics, and environmental economics.

This book constitutes the refereed proceedings of the Third CCF Internet Conference of China, ICoC 2014, held in Shanghai, China, in July 2014. The 10 revised full papers presented were carefully reviewed and selected from 94 submissions. The papers address issues such as software defined network, network security, future Internet architecture, Internet application, network management, network protocols and models, wireless and sensor networks.

This book constitutes the refereed proceedings of the 11th International Conference on Simulated Evolution and Learning, SEAL 2017, held in Shenzhen, China, in November 2017. The 85 papers presented in this volume were carefully reviewed and selected from 145 submissions. They were organized in topical sections named: evolutionary optimisation; evolutionary multiobjective optimisation; evolutionary machine learning; theoretical developments; feature selection and dimensionality reduction; dynamic and uncertain environments; real-world applications; adaptive systems; and swarm intelligence.

This dissertation explored how individual characteristics of members, communication patterns, relative power, and collective sensemaking about the concept of Teaching-as-Research in a community of practice influenced any changes in members' professional identities. Teaching-as-Research involves using methods similar to those used in research (hypothesizing, implementing, analyzing, and modifying) to develop and apply teaching strategies. The case study involved thirteen instructors of undergraduates in a science department at a research university participating in an academic community of practice. Weick's theory of sensemaking (1993, 1995) provides the theoretical foundation for this study. Major concepts in the conceptual framework include individual characteristics, professional identity, community of practice, and sensemaking, both individual and collective. The study proposes relationships among these concepts, and explores how, over time, they interact to effect changes in the professional identities of individual instructors.