DCG 1 – Introduction au Droit 2016/2017

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Author : Deepak P. Sable
Genre : Education

Summary : This book attempts to study causal relationships between several measures of financial sector growth and deepening and economic growth in the Indian context, using annual data from 1950-51 to 2008-09. The relationship between financial sector development and economic growth can be analyzed from three angles: financial deepening leading to economic growth, economic growth leading to financial deepening and a bi-directional relationship between the two. The book gives a detailed description of the data used in this study, book further describes the empirical methodology, the main tool of analysis are the method of Granger causality, Error correction Mechanism, Impulse Response Function (IRF) and Co-integration explained. The data used are annual data from Handbook of Statistics on the Indian Economy; Statistical Tables Relating To Banks in India, Banking Statistics, NSE News (Private Circulation), Fact Book of NSE, BSE annual reports, and Handbook of Statistics on The Indian Security Market by SEBI. All the variables were tested for unit roots using the Dickey-Fuller test (1979) which have been referred from the Enders (2003) to find out stationarity and study considers critical values at 5 per cent significance level. Unit root test is performed by using the R software and difference operators have been indicated with the numerical value. This study applied Granger causality test to verify causality between various variables of financial deepening and Gross Domestic Product and Per Capita Income as indicators of economic growth. It is shown that for a wide range of financial variables, financial deepening does indeed cause economic growth. However, the causality is not unidirectional; in a feedback relationship, economic growth too causes financial sector deepening. The study supports the claims of all three schools.

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Genre : Geology

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Author : Chittaranjan Kole
Genre : Science

Summary : Pulses, Sugar and Tuber Crops comprises reviews contributed by 47 eminent scientists from 10 countries. The chapters on common bean, pea, cowpea, sugarcane and potato include comprehensive reviews of voluminous research findings. Fundamental aspects and molecular results are also presented for eight ‘orphan crops’ of high agroeconomic importance including mungbean, lentil, chickpea, lathyrus, pigeonpea, sweet potato, cassava and yam. works on quinoa and Bambara groundnut are reviewed for the first time.

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Author : Tat-Jen Cham
Genre : Computers

Summary : The two volume set LNCS 4351 and LNCS 4352 constitutes the refereed proceedings of the 13th International Multimedia Modeling Conference, MMM 2007, held in Singapore in January 2007. Based on rigorous reviewing, the program committee selected 123 carefully revised full papers of the main technical sessions and 33 revised full papers of four special sessions from a total of 392 submissions for presentation in two volumes.

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Genre : Medical care

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Author : Maarten de Rijke
Genre : Computers

Summary : This book constitutes the proceedings of the 36th European Conference on IR Research, ECIR 2014, held in Amsterdam, The Netherlands, in April 2014. The 33 full papers, 50 poster papers and 15 demonstrations presented in this volume were carefully reviewed and selected from 288 submissions. The papers are organized in the following topical sections: evaluation, recommendation, optimization, semantics, aggregation, queries, mining social media, digital libraries, efficiency, and information retrieval theory. Also included are 3 tutorial and 4 workshop presentations.

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Author : Michael T. Benson
Genre : Education

Summary : One of the most remarkable education leaders of the late nineteenth century and the creator of the modern American research university finally gets his due. Daniel Coit Gilman, a Yale-trained geographer who first worked as librarian at his alma mater, led a truly remarkable life. He was selected as the third president of the University of California; was elected as the first president of Johns Hopkins University, where he served for twenty-five years; served as one of the original founders of the Association of American Universities; and—at an age when most retired—was hand-picked by Andrew Carnegie to head up his eponymous institution in Washington, DC. In Daniel Coit Gilman and the Birth of the American Research University, Michael T. Benson argues that Gilman's enduring legacy will always be as the father of the modern research university—a uniquely American invention that remains the envy of the entire world. In the past half-century, nothing has been written about Gilman that takes into account his detailed journals, reviews his prodigious correspondence, or considers his broad external board service. This book fills an enormous void in the history of the birth of the "new" American system of higher education, especially as it relates to graduate education. The late 1800s, Benson points out, is one of the most pivotal periods in the development of the American university model; this book reveals that there is no more important figure in shaping that model than Daniel Coit Gilman. Benson focuses on Gilman's time deliberating on, discussing, developing, refining, and eventually implementing the plan that brought the modern research university to life in 1876. He also explains how many university elements that we take for granted—the graduate fellowships, the emphasis on primary investigations and discovery, the funding of the best laboratory and research spaces, the scholarly journals, the university presses, the sprawling health sciences complexes with teaching hospitals—were put in place by Gilman at Johns Hopkins University. Ultimately, the book shows, Gilman and his colleagues forced all institutions to reexamine their own model and to make the requisite changes to adapt, survive, thrive, compete, and contribute.

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Genre : Military art and science

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Author : G. De Giacomo
Genre : Computers

Summary : This book presents the proceedings of the 24th European Conference on Artificial Intelligence (ECAI 2020), held in Santiago de Compostela, Spain, from 29 August to 8 September 2020. The conference was postponed from June, and much of it conducted online due to the COVID-19 restrictions. The conference is one of the principal occasions for researchers and practitioners of AI to meet and discuss the latest trends and challenges in all fields of AI and to demonstrate innovative applications and uses of advanced AI technology. The book also includes the proceedings of the 10th Conference on Prestigious Applications of Artificial Intelligence (PAIS 2020) held at the same time. A record number of more than 1,700 submissions was received for ECAI 2020, of which 1,443 were reviewed. Of these, 361 full-papers and 36 highlight papers were accepted (an acceptance rate of 25% for full-papers and 45% for highlight papers). The book is divided into three sections: ECAI full papers; ECAI highlight papers; and PAIS papers. The topics of these papers cover all aspects of AI, including Agent-based and Multi-agent Systems; Computational Intelligence; Constraints and Satisfiability; Games and Virtual Environments; Heuristic Search; Human Aspects in AI; Information Retrieval and Filtering; Knowledge Representation and Reasoning; Machine Learning; Multidisciplinary Topics and Applications; Natural Language Processing; Planning and Scheduling; Robotics; Safe, Explainable, and Trustworthy AI; Semantic Technologies; Uncertainty in AI; and Vision. The book will be of interest to all those whose work involves the use of AI technology.

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Author : Pierre Deransart
Genre : Computers

Summary : From the viewpoint of an "industrial" this book is most welcome, as one of the most significant demonstrations of the maturity of Prolog. Logic programming is a fascinating area in computer science, which held for years - and still does - the promise of freeing ourselves from programming based on the "Von Neumann" machine. In addition computer programming has long been for solid theoretical foundations. While conventional engineering, dealing mainly with "analogical complexity", developed over some hundred years a complete body of mathematical tools, no such toolset was available for "digital complexity". The only mathematical discipline which deals with digital complexity is logic and Prolog is certainly the operational tool which comes closest to the logical programming ideal. So, why does Prolog, despite nearly twenty years of development, still appear to many today to be more of a research or academic tool, rather than an industrial programming language? A few reasons may explain this: First, I think Prolog suffers from having been largely assimilated into - and thus followed the fate of - Artificial Intelligence. Much hype in the late 1980 created overexpectations and failed to deliver, and the counterreaction threw both AI and Prolog into relative obscurity. In a way, maybe this is a new chance for the Prolog community: the ability to carry out real work and progress without the disturbance of limelights and the unrealistic claims of various gurus. Second, programming in Prolog is a new experience for computer professionals.