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Beginning first as a case study of Feng Xiaogang, this book explores Chinese film history since the early 1990s in terms of changes of the Communist Party's film policy, industry reforms, the official promotion of Main Melody films and the emergence and growth of popular cinema. The image of Feng that will emerge in this book is of a filmmaker working under political and economic pressures in a post-socialist state while still striving to create works with a personal socio-political agenda. In keeping with this reality, this book approaches Feng as a special kind of film auteur whose works must be interpreted with attention to the specific social and political context of contemporary China. The book will be a useful reference tool for students and scholars in the fields of Chinese studies, Chinese film history and film studies. It could also be used as textbook for classes about Asian cinema, international cinema and Chinese culture/film studies. The extensive use of data about the Chinese film market, and elaborate analysis of the situation of Chinese film industry make this book a valuable volume for classroom and personal use.
This volume presents in detail the fundamental theories of linear regression analysis and diagnosis, as well as the relevant statistical computing techniques so that readers are able to actually model the data using the methods and techniques described in the book. It covers the fundamental theories in linear regression analysis and is extremely useful for future research in this area. The examples of regression analysis using the Statistical Application System (SAS) are also included. This book is suitable for graduate students who are either majoring in statistics/biostatistics or using linear regression analysis substantially in their subject fields.
It is our great pleasure to have you at the 2022 4th International Conference on Economic Management and Model Engineering (ICEMME 2022), which was held in Nanjing, China from November 18th to 20th (virtual event). It is an international forum for academic communications between experts and scholars in the fields of economic management and model engineering. The main objective of ICEMME 2022 is to provide a platform to deliberate latest developments and future directions in the fields of economic management and model engineering. The conference provided opportunities for the delegates to exchange research ideas and scientific information, and established business or research relations for all participants to find global partners for future collaboration.
ISES Solar World Congress is the most important conference in the solar energy field around the world. The subject of ISES SWC 2007 is Solar Energy and Human Settlement, it is the first time that it is held in China. This proceedings consist of 600 papers and 30 invited papers, whose authors are top scientists and experts in the world. ISES SWC 2007 covers all aspects of renewable energy, including PV, collector, solar thermal electricity, wind, and biomass energy.
Human Factors, Business Management and Society Proceedings of the 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022), July 24–28, 2022, New York, USA
From A to Z, Abandon Superstitions (1958; Po Chu Mi Xing in Chinese) to Zuo Wenjun and Sima Xiangru (1984; Zuo Wen Jun Ahe Si Ma Xiang Ru), this comprehensive reference work provides filmographic data on 2,444 Chinese features released since the formation of the People's Republic of China. The films reflect the shifting dynamics of the Chinese film industry, from sweeping epics to unabashedly political docudramas, although straight documentaries are excluded from the current work. The entries include the title in English, the Chinese title (in Pinyin romanization with each syllable noted separately for clarity), year of release, studio, technical information (e.g., black and white or color, letterboxed or widescreen), length, technical credits, literary source (when applicable), cast, plot summary, and awards won.
This text is listed on the Course of Reading for SOA Fellowship study in the Group & Health specialty track. Healthcare Risk Adjustment and Predictive Modeling provides a comprehensive guide to healthcare actuaries and other professionals interested in healthcare data analytics, risk adjustment and predictive modeling. The book first introduces the topic with discussions of health risk, available data, clinical identification algorithms for diagnostic grouping and the use of grouper models. The second part of the book presents the concept of data mining and some of the common approaches used by modelers. The third and final section covers a number of predictive modeling and risk adjustment case-studies, with examples from Medicaid, Medicare, disability, depression diagnosis and provider reimbursement, as well as the use of predictive modeling and risk adjustment outside the U.S. For readers who wish to experiment with their own models, the book also provides access to a test dataset.
This book provides an overview of the theories and applications on subgroups in the biopharmaceutical industry. Drawing from a range of expert perspectives in academia and industry, this collection offers an overarching dialogue about recent advances in biopharmaceutical applications, novel statistical and methodological developments, and potential future directions. The volume covers topics in subgroups in clinical trial design; subgroup identification and personalized medicine; and general issues in subgroup analyses, including regulatory ones. Included chapters present current methods, theories, and case applications in the diverse field of subgroup application and analysis. Offering timely perspectives from a range of authoritative sources, the volume is designed to have wide appeal to professionals in the pharmaceutical industry and to graduate students and researchers in academe and government.
"This book presents and disseminates new concepts and developments in the areas of data warehousing and data mining, in particular on the research trends shaped during the last few years"--Provided by publisher.
"This volume presents in detail the fundamental theories of linear regression analysis and diagnosis, as well as the relevant statistical computing techniques so that readers are able to actually model the data using the techniques described in the book. This book is suitable for graduate students who are either majoring in statistics/biostatistics or using linear regression analysis substantially in their subject area." --Book Jacket.