Kaufman’s Clinical Neurology for Psychiatristsa Books

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Clinical Handbook of Air Pollution Related Diseases


Clinical Handbook of Air Pollution Related Diseases
  • Author : Fabio Capello
  • Publisher : Springer
  • Release : 2018-02-21
  • ISBN : 9783319627311
  • Language : En, Es, Fr & De
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This book examines in detail the clinical implications of those diseases that either are primarily triggered by air pollution or represent direct consequences of air pollutants. The aim is to provide medical practitioners with practical solutions to issues in diagnosis and treatment while simultaneously furnishing other interested parties with crucial information on the field. The book introduces the concept that air pollution-related diseases constitute a new class of pathologies. A wide range of conditions mainly attributable to air pollution are discussed, covering different body systems and pollution impacts in subsets of the population. In addition to presenting state of the art overviews of clinical aspects, the book carefully examines the implications of current knowledge for social and public health strategies aimed at disease prevention and prophylaxis. The Clinical Handbook of Air Pollution-Related Diseases will greatly assist doctors and healthcare workers when dealing with the consequences of air pollution in their everyday practice and will provide researchers, industry, and policymakers with valuable facts and insights.

Forthcoming Books


Forthcoming Books
  • Author : R.R. Bowker Company. Department of Bibliography
  • Publisher :
  • Release : 1995
  • ISBN : 00158119
  • Language : En, Es, Fr & De
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Neurogenesis and Neural Plasticity


Neurogenesis and Neural Plasticity
  • Author : Catherine Belzung
  • Publisher : Springer Science & Business Media
  • Release : 2014-07-08
  • ISBN : 9783642362323
  • Language : En, Es, Fr & De
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This volume brings together authors working on a wide range of topics to provide an up to date account of the underlying mechanisms and functions of neurogenesis and synaptogenesis in the adult brain. With an increasing understanding of the role of neurogenesis and synaptogenesis it is possible to envisage improvements or novel treatments for a number of diseases and the possibility of harnessing these phenomena to reduce the impact of ageing and to provide mechanisms to repair the brain.

The Future of Happiness


The Future of Happiness
  • Author : Amy Blankson
  • Publisher : BenBella Books, Inc.
  • Release : 2017-04-11
  • ISBN : 9781942952954
  • Language : En, Es, Fr & De
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Technology, at least in theory, is improving our productivity, efficiency, and communication. The one thing it’s not doing is making us happier. We are experiencing historically high levels of depression and dissatisfaction. But we can change that. Knowing that technology is here to stay and will continue to evolve in form and function, we need to know how to navigate the future to achieve a better balance between technology, productivity, and well-being. Technology can drive—not diminish—human happiness. In The Future of Happiness, author Amy Blankson, cofounder of the global positive psychology consulting firm GoodThink, unveils five strategies successful individuals can use, not just to survive—but actually thrive—in the Digital Age: Stay Grounded to focus your energy and increase productivity Know Thyself through app-driven data to strive toward your potential Train Your Brain to develop and sustain an optimistic mindset Create a Habitat for Happiness to maximize the spaces where you live, work, and learn Be a Conscious Innovator to help make the world a better place By rethinking when, where, why, and how you use technology, you will not only influence your own well-being but also help shape the future of your community. Discover how technologies can transform the idea of “I’ll be happy when . . .” to being happy now.

Applied Data Science


Applied Data Science
  • Author : Martin Braschler
  • Publisher : Springer
  • Release : 2019-06-13
  • ISBN : 9783030118211
  • Language : En, Es, Fr & De
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This book has two main goals: to define data science through the work of data scientists and their results, namely data products, while simultaneously providing the reader with relevant lessons learned from applied data science projects at the intersection of academia and industry. As such, it is not a replacement for a classical textbook (i.e., it does not elaborate on fundamentals of methods and principles described elsewhere), but systematically highlights the connection between theory, on the one hand, and its application in specific use cases, on the other. With these goals in mind, the book is divided into three parts: Part I pays tribute to the interdisciplinary nature of data science and provides a common understanding of data science terminology for readers with different backgrounds. These six chapters are geared towards drawing a consistent picture of data science and were predominantly written by the editors themselves. Part II then broadens the spectrum by presenting views and insights from diverse authors – some from academia and some from industry, ranging from financial to health and from manufacturing to e-commerce. Each of these chapters describes a fundamental principle, method or tool in data science by analyzing specific use cases and drawing concrete conclusions from them. The case studies presented, and the methods and tools applied, represent the nuts and bolts of data science. Finally, Part III was again written from the perspective of the editors and summarizes the lessons learned that have been distilled from the case studies in Part II. The section can be viewed as a meta-study on data science across a broad range of domains, viewpoints and fields. Moreover, it provides answers to the question of what the mission-critical factors for success in different data science undertakings are. The book targets professionals as well as students of data science: first, practicing data scientists in industry and academia who want to broaden their scope and expand their knowledge by drawing on the authors’ combined experience. Second, decision makers in businesses who face the challenge of creating or implementing a data-driven strategy and who want to learn from success stories spanning a range of industries. Third, students of data science who want to understand both the theoretical and practical aspects of data science, vetted by real-world case studies at the intersection of academia and industry.