Scenic Spots

Twenty years ago, commercial tourism in the People’s Republic of China hardly existed. Today, China has a burgeoning tourist industry, characterized by a unique style with deep roots in traditional Chinese culture. Scenic Spots is an engaging exploration of why Chinese tourists pursue certain kinds of experiences, what they make of them, and how their experiences and interpretations are shaped by the state. Working from within a Chinese cultural framework, Pál Nyíri argues that China’s brand of tourism is distinct from the traditions of both Western bourgeois tourism, which values authenticity, and Soviet tourism, with its emphasis on rugged and selfless experience. In China, tourism development is guided by the state, and “scenic spots” (jingdian) and theme parks are used to demonstrate China’s heroic past and as tools of patriotic education and modernization – or as forms of “indoctritainment.” The tourist site is perceived as a product, and, as such, it is bounded, approved, rated, and consumed. In a style both straightforward and provocative, Nyíri argues that the uniformity and undisguised commercialism of Chinese tourist sites are a direct result of the state’s ultimate authority to determine the meaning of landscape and to control culture. Scenic Spots serves as a lens through which to explore mechanisms of cultural control and resistance in a highly commercialized sphere of everyday life in contemporary China.

This book discusses and studies the basic course of ecological civilization construction in the 70 years since the founding of the People’s Republic of China and summarizes the experience and lessons. It contains 75 articles from 75 top experts and government officials in the field of ecological civilization policy-making and basic theory research in China, including Xi Jinping Thought on Ecological Civilization, ecological culture, green industry economy, environmental quality, legal system, ecological security and so on, so as to provide reference for understanding and studying the progress of ecological environment protection since the founding of China.

This two volume set (CCIS 901 and 902) constitutes the refereed proceedings of the 4th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2018 (originally ICYCSEE) held in Zhengzhou, China, in September 2018. The 125 revised full papers presented in these two volumes were carefully reviewed and selected from 1057 submissions. The papers cover a wide range of topics related to basic theory and techniques for data science including mathematical issues in data science, computational theory for data science, big data management and applications, data quality and data preparation, evaluation and measurement in data science, data visualization, big data mining and knowledge management, infrastructure for data science, machine learning for data science, data security and privacy, applications of data science, case study of data science, multimedia data management and analysis, data-driven scientific research, data-driven bioinformatics, data-driven healthcare, data-driven management, data-driven eGovernment, data-driven smart city/planet, data marketing and economics, social media and recommendation systems, data-driven security, data-driven business model innovation, social and/or organizational impacts of data science.

This book presents the proceedings of The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2020), held in Shanghai, China, on November 6, 2020. Due to the COVID-19 outbreak problem, SPIoT-2020 conference was held online by Tencent Meeting. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.

This is an open access book. 2022 International Conference on Mathematical Statistics and Economic Analysis(MSEA 2022) will be held in Dalian, China from May 27 to 29, 2022. Based on probability theory, mathematical statistics studies the statistical regularity of a large number of random phenomena, and infers and forecasts the whole. Economic development is very important to people's life and the country. Through data statistics and analysis, we can quickly understand the law of economic development. This conference combines mathematical statistics and economic analysis for the first time to explore the relationship between them, so as to provide a platform for experts and scholars in the field of mathematical statistics and economic analysis to exchange and discuss.

This book select successful cases of poverty reduction and alleviation in the Guizhou province of China, which reflects the highest number and widest distribution of people living in poverty. The local government seeks to achieve sustainable development goals and find multiple solutions to the problem.. The book introduces local experiences and presents the whole process from policy making to practice.

The 2nd International Conference on Mathematical Statistics and Economic Analysis (MSEA 2023) was held virtually from 26-28 May 2023 in Nanjing, China. The conference was attended by researchers, teachers, students and engineers in the field of mathematical statistics and economic analysis. Through data statistics and analysis, we can quickly understand the pattern of economic development. This conference combines mathematical statistics and economic analysis, explores the relationship between the two, and provides a platform for experts and scholars in the fields of mathematical statistics and economic analysis to discuss related issues and exchange ideas. Therefore, we hope to create a forum for sharing research results and exploring future research directions, so that participants can learn about the latest research directions, contents and results of mathematical statistics and economic analysis; secondly, we hope that the conference can provide solutions to the major problems facing mathematical statistics and economic analysis, and create a space that encourages discussion and joint development of research, technological development and innovation.