Model Rules of Professional Conduct


Book Description

The Model Rules of Professional Conduct provides an up-to-date resource for information on legal ethics. Federal, state and local courts in all jurisdictions look to the Rules for guidance in solving lawyer malpractice cases, disciplinary actions, disqualification issues, sanctions questions and much more. In this volume, black-letter Rules of Professional Conduct are followed by numbered Comments that explain each Rule's purpose and provide suggestions for its practical application. The Rules will help you identify proper conduct in a variety of given situations, review those instances where discretionary action is possible, and define the nature of the relationship between you and your clients, colleagues and the courts.




Tables


Book Description




Characterizing Expert and Novice Differences in Problem Solving in Heat Transfer


Book Description

This research investigates adaptive expertise through the analysis of written open-ended questions. The open-ended questions were given to experts (advanced graduate students) and to novices (undergraduates taking an introductory heat transfer course). Analysis of the experts' responses to these questions indicated that experts make qualifying statements in their responses, a newly identified characteristic of expertise. Analysis of the novices' responses indicates areas for future work in research and teaching. Additionally, the wording of the open-ended questions appears to be important: the responses to questions that asked participants to choose an outcome showed greater differences between the expert and novice participants than questions that asked participants to explain how or why something happens.




Think Tanks in America


Book Description

A revealing look at the rise of these influential institutions, and the effect they’ve had on the United States. Think tanks have become fixtures of American politics, supplying advice to presidents and policy makers, expert testimony on Capitol Hill, and convenient facts and figures to journalists and media specialists. But what are think tanks? Who funds them? What kind of research do they produce? Where does their authority come from? And how influential have they become? In Think Tanks in America, Thomas Medvetz argues that the unsettling ambiguity of the think tank is less an accidental feature of its existence than the very key to its impact. By combining elements of more established sources of public knowledge—universities, government agencies, businesses, and the media—think tanks exert a tremendous amount of influence on the way citizens and lawmakers perceive the world, unbound by the more clearly defined roles of those other institutions. In the process, they transform the government of this country, the press, and the political role of intellectuals. Timely, succinct, and instructive, this provocative book will force us to rethink our understanding of the drivers of political debate in the United States.




Business Information Systems and Technology 4.0


Book Description

This book discusses digitalization trends and their concrete applications in business and societal contexts. It summarizes new findings from research, teaching and management activities comprising digital transformation, e-business, the representation of knowledge, human–computer interaction and business optimization. The trends discussed include artificial intelligence, virtual reality, robotics, blockchain, and many more. Professors and researchers who conduct research and teach at the interface between academia and business present the latest advances in their field. The book adopts the philosophy of applied sciences and combines both rigorous research and practical applications. As such, it addresses the needs of both professors and researchers, who are constantly seeking inspiration, and of managers seeking to tap the potential of the latest trends to take their business to the next level. Readers will find answers to pressing questions that arise in their daily work.




Bayesian Networks and Decision Graphs


Book Description

This is a brand new edition of an essential work on Bayesian networks and decision graphs. It is an introduction to probabilistic graphical models including Bayesian networks and influence diagrams. The reader is guided through the two types of frameworks with examples and exercises, which also give instruction on how to build these models. Structured in two parts, the first section focuses on probabilistic graphical models, while the second part deals with decision graphs, and in addition to the frameworks described in the previous edition, it also introduces Markov decision process and partially ordered decision problems.










Progress In Handwriting Recognition


Book Description

Handwriting Recognition has become a very important research area which is attracting more and more scientists. In fact, the extraordinary advances in the field of data acquisition technology and the promising results of the research, nowadays make possible the development of commercial systems for processing and recognition of handwritten documents.This book contains the results of the activity of the most important academic and industrial research groups working in this area. The new issues arising in the field are focused and involve both theoretical and practical aspects related to handwriting recognition and document processing systems. The contributions of eminent experts point out the more interesting challenges for the scientific community ranging from acquisition and preprocessing of handwritten documents, to recognition of handwritten digits and words, to the design of multi-expert systems and the exploitation of the contextual knowledge to improve system performance.




Advanced Computational Methods for Knowledge Engineering


Book Description

These proceedings consist of 19 papers, which have been peer-reviewed by international program committee and selected for the 5th International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2017), which was held on June 30–July 1, 2017 in Berlin, Germany. The respective chapters discuss both theoretical and practical issues in connection with computational methods and optimization methods for knowledge engineering. The broad range of application areas discussed includes network computing, simulation, intelligent and adaptive e-learning, information retrieval, sentiment analysis, autonomous underwater vehicles, social media analysis, natural language processing, biomimetics in organizations, and cash management. In addition to pure content, the book offers many inspiring ideas and suggests new research directions, making it a valuable resource for graduate students, Ph.D. students, and researchers in Computer Science and Applied Mathematics alike.