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Wang (Shenzhen Univ.) describes how elite Chinese journalists recently created a professional paradigm that blends social activism with investigative reporting. Wang suggests the formation of an investigative and advocacy journalistic model is a unique adaptation to contemporary governmental controls, social norms, and journalistic practices in China. Wang explains that leading Chinese journalists are increasingly focused on fostering democratic reforms in China and sometimes help organize social reform movements. Though the book is not grounded in international mass communication theory, the text is well researched with helpful chapter footnotes, a bibliography, and an index. The book?s thesis contrasts with the portrayal of Chinese journalism in some recent books, such as Doug Young's The Party Line: How the Media Dictates Public Opinion in Modern China (Wiley, 2013). Recommended for collections in international journalism as well as contemporary Chinese culture.
Investigative reporting --- Journalism --- History --- Political aspects --- S06/0438 --- S11/1450 --- China: Politics and government--Policy towards press, Internet --- China: Social sciences--Journalism and the press --- Journalisme d'enquête --- Journalisme --- Presse --- Aspect politique --- Journalisme d'enquête
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Mathematical Methods in Data Science covers a broad range of mathematical tools used in data science, including calculus, linear algebra, optimization, network analysis, probability and differential equations. Based on the authors' recently published and previously unpublished results, this book introduces a new approach based on network analysis to integrate big data into the framework of ordinary and partial differential equations for dataanalysis and prediction. With data science being used in virtually every aspect of our society, the book includes examples and problems arising in data science and the clear explanation of advanced mathematical concepts, especially data-driven differential equations, making it accessible to researchers and graduate students in mathematics and data science. -- ǂc Provided by publisher.
Big data. --- Data sets, Large --- Large data sets --- Data sets --- Big data --- Big Data --- Mathematics. --- Mathematical models.
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Anil K. Gupta, Vijay Govindarajan, and Haiyan Wang are among the most distinguished experts in the field of globalization. In The Quest for Global Dominance they present the lessons from their twenty-year study of over two hundred corporations. They argue that, in order for a company to create and maintain its position as a globally dominant player, executives must ensure that their company leads its industry in the following four essential tasks: Identifying market opportunities worldwide and pursuing them by establishing the necessary presence in all key markets
Comparative advantage (International trade). --- Competition, International. --- Globalization - Economic aspects. --- Industrial management. --- International business enterprises - Management. --- International business enterprises. --- Organizational effectiveness. --- International business enterprises --- Industrial management --- Organizational effectiveness --- Comparative advantage (International trade) --- Globalization --- Competition, International --- Management Styles & Communication --- Management --- Business & Economics --- Economic aspects --- Management. --- Economic aspects. --- International competition --- World economics --- Comparative advantage (Commerce) --- Comparative costs (International trade) --- Business administration --- Business enterprises --- Business management --- Corporate management --- Corporations --- Industrial administration --- Management, Industrial --- Rationalization of industry --- Scientific management --- International relations --- International trade --- War --- Heckscher-Ohlin principle --- International division of labor --- Organization --- Business --- Industrial organization --- E-books
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The book lies at the interface of mathematics, social media analysis, and data science. Its authors aim to introduce a new dynamic modeling approach to the use of partial differential equations for describing information diffusion over online social networks. The eigenvalues and eigenvectors of the Laplacian matrix for the underlying social network are used to find communities (clusters) of online users. Once these clusters are embedded in a Euclidean space, the mathematical models, which are reaction-diffusion equations, are developed based on intuitive social distances between clusters within the Euclidean space. The models are validated with data from major social media such as Twitter. In addition, mathematical analysis of these models is applied, revealing insights into information flow on social media. Two applications with geocoded Twitter data are included in the book: one describing the social movement in Twitter during the Egyptian revolution in 2011 and another predicting influenza prevalence. The new approach advocates a paradigm shift for modeling information diffusion in online social networks and lays the theoretical groundwork for many spatio-temporal modeling problems in the big-data era.
Partial differential equations. --- Application software. --- Communication. --- Partial Differential Equations. --- Computer Appl. in Social and Behavioral Sciences. --- Communication Studies. --- Differential equations, Partial. --- Communication, Primitive --- Mass communication --- Sociology --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Partial differential equations
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The book lies at the interface of mathematics, social media analysis, and data science. Its authors aim to introduce a new dynamic modeling approach to the use of partial differential equations for describing information diffusion over online social networks. The eigenvalues and eigenvectors of the Laplacian matrix for the underlying social network are used to find communities (clusters) of online users. Once these clusters are embedded in a Euclidean space, the mathematical models, which are reaction-diffusion equations, are developed based on intuitive social distances between clusters within the Euclidean space. The models are validated with data from major social media such as Twitter. In addition, mathematical analysis of these models is applied, revealing insights into information flow on social media. Two applications with geocoded Twitter data are included in the book: one describing the social movement in Twitter during the Egyptian revolution in 2011 and another predicting influenza prevalence. The new approach advocates a paradigm shift for modeling information diffusion in online social networks and lays the theoretical groundwork for many spatio-temporal modeling problems in the big-data era.
Partial differential equations --- Mass communications --- Programming --- Computer architecture. Operating systems --- differentiaalvergelijkingen --- applicatiebeheer --- apps --- communicatie --- architectuur (informatica)
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A roadmap for understanding the business challenges and opportunities in China By 2025, China and India will be two of the world's four largest economies. By then, economic ties between them should also rank among the ten most important bilateral ties worldwide. Their leaders are well aware of these emerging realities. In May 2013, just two months after taking charge, Premier Li Keqiang left for India on his first official trip outside China, a clear signal of China's foreign policy priorities. The Silk Road Rediscovered is the first book ever to analyze the growing corporate
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Partial differential equations --- Mass communications --- Programming --- Computer architecture. Operating systems --- differentiaalvergelijkingen --- applicatiebeheer --- apps --- communicatie --- architectuur (informatica)
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This book provides insights into recent developments in the use of mulching in agroecosystems with emphasis on the major pros and cons. Increase in human population, climatic changes and agricultural intensification have put enormous pressure on soil and water resources. As a result, we are confronted with challenges to enhance nutrient and water use efficiencies and conserve soil organic matter without compromising crop yields and food security. Increasing the soil organic matter (SOM) via residue return increased nutrient availability and soil physical and biological properties. Management practices, such as straw mulching or incorporation, have significant effects on soil health. Straw addition also increases functionality related to carbon and N metabolism via increasing the microbes and thus greatly contributes to CO2 and N2O emissions. However, the co-use of organic and inorganic fertilizer reduces the N2O emission without compromising crop yield. Mulching has long been advocated to conserve soil moisture and increase the efficiency of macro- and micro-nutrients by improving soil physical, chemical, and biological properties. These effects of mulch are translated into better crop yields while improving soil health and quality in the long run. Therefore, the use of mulching techniques is on the rise in organic as well as conventional agriculture. The book is of great interest for researchers, academics, agriculture extensionists, soil and plant scientist, fertilizer industry, farmers, agro-industrial workers, farm managers, NGOs, and climate and civil society activists.
Pedology --- bodemkunde
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