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On June 3, 2015, the Greek Parliamentary Budget Office, the National and Kapodistrian University of Athens, the Democritus University of Thrace, and the University of Peloponnese sponsored an international conference to address medium- and long-term growth in Greece. This collection presents the strongest papers on the conditions required to revive and maintain economic growth. Leading experts cover almost every major issue identified in the latest literature, from demographic issues and proposals for export strategy to the need for innovation and structural reform. The combination of qualitative and quantitative approaches to assessing present conditions make this ground-breaking collection a valuable resource for a variety of academics, professional economists, and economic policy practitioners planting the seeds of Greece's future.
Modeling complex biological, chemical, and physical systems, in the context of spatially heterogeneous mediums, is a challenging task for scientists and engineers using traditional methods of analysis.
Modeling in Applied Sciences is a comprehensive survey of modeling large systems using kinetic equations, and in particular the Boltzmann equation and its generalizations. An interdisciplinary group of leading authorities carefully develop the foundations of kinetic models and discuss the connections and interactions between model theories, qualitative and computational analysis and real-world applications. This book provides a thoroughly accessible and lucid overview of the different aspects, models, computations, and methodology for the kinetic-theory modeling process.
Topics and Features:
* Integrated modeling perspective utilized in all chapters
* Fluid dynamics of reacting gases
* Self-contained introduction to kinetic models
* Becker-Doring equations
* Nonlinear kinetic models with chemical reactions
* Kinetic traffic-flow models
* Models of granular media
* Large communication networks
* Thorough discussion of numerical simulations of Boltzmann equation
This new book is an essential resource for all scientists and engineers who use large-scale computations for studying the dynamics of complex systems of fluids and particles. Professionals, researchers, and postgraduates will find the book a modern and authoritative guide to the topic.
<b>one-of-a-kind introduction to the theory and application of modeling and simulation techniques in the realm of international studies</b> <p> <i>Modeling and Simulation for Analyzing Global Events</i> provides an orientation to the theory and application of modeling and simulation techniques in social science disciplines. This book guides readers in developing quantitative and numeric representations of real-world events based on qualitative analysis. With an emphasis on gathering and mapping empirical data, the authors detail the steps needed for accurately analyzing global events and outline the selection and construction of the best model for understanding the event¿s data. <p> Providing a theoretical foundation while also illustrating modern examples, the book contains three parts: <ul> <li> <div><b>Advancing Global Studies</b>—introduces the what, when, and why of modeling and simulation and also explores its brief history, various uses, and some of the advantages and disadvantages of modeling and simulation in problem solving. In addition, the differences in qualitative and quantitative research methods, mapping data, and conducting model validation are also discussed.</div> <li> <div><b>Modeling Paradigms</b>—examines various methods of modeling including system dynamics, agent-based modeling, social network modeling, and game theory. This section also explores the theory and construction of these modeling paradigms, the fundamentals for their application, and various contexts for their use.</div> <li> <div><b>Modeling Global Events</b>—applies the modeling paradigms to four real-world events that are representative of several fundamental areas of social science studies: internal commotion within an anarchic state, a multi-layered study of the Solidarity movement in Poland, uni-lateral military intervention, and the issue of compellence and deterrence during a national security crisis.</div> </ul> <p> <i>Modeling and Simulation for Analyzing Global Events</i> is an excellent book for statistics, engineering, computer science, economics, and social sciences courses on modeling and simulation at the upper-undergraduate and graduate levels. It is also an insightful reference for professionals who would like to develop modeling and simulation skills for analyzing and communicating human behavior observed in real-world events and complex global case studies.
"To Err is Human", said the 1999 landmark report published by the Institute of Medicine. The report that highlighted tragic numbers of injury and harm, the wide reaching nature of this problem, and areas of need to reverse this growing trend was also a call to action. Today, health care professionals recognize the importance of patient safety education across many disciplines. Based on an interprofessional course designed by faculty in bioethics, business, dentistry, law, medicine, nursing, occupational therapy, pharmacy, physical therapy, and social work, Foundations in Patient Safety for Health Professionals is ideal as a basic introductory text on patient safety and health care quality improvement for graduate and undergraduate courses across the health professions, nursing, and health administration. Key Features: Featuring personal and professional stories, the authors use a patient-centered approach within a practice-based context. Using simple, straightforward language, the book illustrates a common model of patient care planning representing core responsibilities of any health professional involved in serving patients. Concepts of safe systems serve as an overarching principle to the field of patient safety. By engaging in a series of modules complimented by case-based exercises, students easily learn the scope of the problem of patient safety, and acquire the skills to foster a culture of continuous learning and incorporation of patient safety best practices and improvements in their own individual professional practices. Instructor Resources: Instructor Manual
Provides a Solid Foundation for Statistical Modeling and Inference and Demonstrates Its Breadth of Applicability
Stochastic Modeling and Mathematical Statistics: A Text for Statisticians and Quantitative Scientists addresses core issues in post-calculus probability and statistics in a way that is useful for statistics and mathematics majors as well as students in the quantitative sciences. The book's conversational tone, which provides the mathematical justification behind widely used statistical methods in a reader-friendly manner, and the book's many examples, tutorials, exercises and problems for solution, together constitute an effective resource that students can read and learn from and instructors can count on as a worthy complement to their lectures.
Using classroom-tested approaches that engage students in active learning, the text offers instructors the flexibility to control the mathematical level of their course. It contains the mathematical detail that is expected in a course for "majors" but is written in a way that emphasizes the intuitive content in statistical theory and the way theoretical results are used in practice. More than 1000 exercises and problems at varying levels of difficulty and with a broad range of topical focus give instructors many options in assigning homework and provide students with many problems on which to practice and from which to learn.
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