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1. |
Record Nr. |
UNINA9910456525703321 |
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Autore |
Pan Su-Yan |
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Titolo |
University autonomy, the state, and social change in China [[electronic resource] /] / Su-Yan Pan |
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Pubbl/distr/stampa |
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Hong Kong, : Hong Kong University Press |
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[London, : Eurospan, distributor], c2009 |
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ISBN |
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1-282-70961-5 |
9786612709616 |
988-8053-03-5 |
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Descrizione fisica |
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1 online resource (277 p.) |
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Collana |
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Education in China: reform and diversity |
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Disciplina |
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Soggetti |
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Higher education and state - China |
University autonomy - China |
Universities and colleges - China - Sociological aspects |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. 231-255) and index. |
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Nota di contenuto |
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Contents; Table and Figures; Abbreviations; Foreword; 1 - Introduction; 2 - University Autonomy, the State, and Social Change: Western and Chinese Perspectives; 3 - Social Change and Higher Education in China: An Historical Review (1840s to the early 21st century); 4 - Americanization and Localization: Tensions in Tsinghua College (1911-29); 5 - Sinicization, Politicization, and Democratization: Conflicts in Tsinghua University (1929-48); 6 - ""Red and Expert"": A Dilemma in Tsinghua University (1949-76) |
7 - Market Forces and Globalization: Opportunities for Tsinghua University (1977 to the early 21st century )8 - Political Crisis and Commitment: Challenges to Tsinghua University (1977 to the early 21st century); 9 - Towards an Understanding of Autonomy as Semi-Independence; Appendix I: Methodological Considerations; Appendix II: List of Interviewees at Tsinghua University; Appendix III: Tsinghua's Presidents; Notes; Bibliography; Index |
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Sommario/riassunto |
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This book explores the role of universities in responding to ongoing changes in China, and in shaping the relations between the university |
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and the state during periods of social change. |
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2. |
Record Nr. |
UNINA9910742483103321 |
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Autore |
Alareeni Bahaaeddin A. M |
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Titolo |
Artificial Intelligence (AI) and Finance / / edited by Bahaaeddin A. M. Alareeni, Islam Elgedawy |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (980 pages) |
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Collana |
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Studies in Systems, Decision and Control, , 2198-4190 ; ; 488 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Engineering mathematics |
Engineering - Data processing |
Computational intelligence |
Artificial intelligence |
Mathematical and Computational Engineering Applications |
Computational Intelligence |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Preface -- Introduction -- Papers: Part I: Artificial intelligence Trends in Business Development -- Part II: Artificial intelligence Trends in Finance Development -- References. |
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Sommario/riassunto |
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Artificial intelligence (AI) has the potential to significantly improve efficiency, reduce costs, and increase the speed and accuracy of financial decision-making, making it an increasingly important tool for financial professionals. One way that AI can improve efficiency in finance is by automating tasks and processes that are time-consuming and repetitive for humans. For example, AI algorithms can be used to analyze and process large amounts of data, such as financial statements and market data, in a fraction of the time that it would take a human to do so. This can allow financial professionals to focus on higher-value tasks, such as interpreting data and making strategic decisions, rather than being bogged down by mundane tasks. AI can |
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also reduce costs in finance by increasing automation and eliminating the need for certain tasks to be performed manually. This can result in cost savings for financial institutions, which can then be passed on to customers in the form of lower fees or better services. AI can be used to identify unusual patterns of activity that may indicate fraudulent behavior. This can help financial institutions reduce losses from fraud and improve customer security. AI-powered chatbots and virtual assistants can help financial institutions provide faster, more efficient customer service, particularly when it comes to answering common questions and handling routine tasks. Some financial institutions are using AI to analyze market data and make trades in real-time. AI-powered trading algorithms can potentially make faster and more accurate trading decisions than humans. In terms of speed and accuracy, AI algorithms can analyze data and make decisions much faster than humans, and can do so with a high degree of accuracy. This can be particularly useful in fast-moving financial markets, where quick and accurate decision-making can be the difference between success and failure. This book highlights how AI in finance can improve efficiency, reduce costs, and increase the speed and accuracy of financial decision-making. Moreover, the book also focuses on how to ensure the responsible and ethical use of AI in finance. This book is a valuable resource for students, scholars, academicians, researchers, professionals, executives, government agencies, and policymakers interested in exploring the role of artificial intelligence (AI) in finance. Its goal is to provide a comprehensive overview of the latest research and knowledge in this area, and to stimulate further inquiry and exploration. |
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