Peer Review
Peer Review

Author: David Shatz

Publisher: Rowman & Littlefield

Published: 2004

Total Pages: 268

ISBN-13: 9780742514355

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Peer review is the process by which submissions to journals and presses are evaluated with regard to suitability for publication. Armed with the results of numerous empirical studies, critics have leveled a variety of harsh charges against peer review such as: reviewers and editors are biased toward authors from prestigious institutions, peer review is biased toward established ideas, and it does a poor job of detecting errors and fraud. While an immense literature has sprouted on peer review in the sciences and social sciences, Peer Review is the first book-length, wide-ranging study of peer review that utilizes methods and resources of contemporary philosophy. Its six chapters cover the following topics: the tension between peer review and the liberal notion that truth emerges when ideas proliferate in the marketplace of ideas; arguments for and against blind review of submissions; the alleged conservatism of peer review; the anomalous nature of book reviewing; the status of non-peer-reviewed publications, such as invited articles or Internet publications, in tenure and promotion cases; and the future of peer review in the age of the Internet. The author has also included several key readings about peer review.

Intelligent Internet of Things
Intelligent Internet of Things

Author: Farshad Firouzi

Publisher: Springer Nature

Published: 2020-01-21

Total Pages: 647

ISBN-13: 3030303675

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This holistic book is an invaluable reference for addressing various practical challenges in architecting and engineering Intelligent IoT and eHealth solutions for industry practitioners, academic and researchers, as well as for engineers involved in product development. The first part provides a comprehensive guide to fundamentals, applications, challenges, technical and economic benefits, and promises of the Internet of Things using examples of real-world applications. It also addresses all important aspects of designing and engineering cutting-edge IoT solutions using a cross-layer approach from device to fog, and cloud covering standards, protocols, design principles, reference architectures, as well as all the underlying technologies, pillars, and components such as embedded systems, network, cloud computing, data storage, data processing, big data analytics, machine learning, distributed ledger technologies, and security. In addition, it discusses the effects of Intelligent IoT, which are reflected in new business models and digital transformation. The second part provides an insightful guide to the design and deployment of IoT solutions for smart healthcare as one of the most important applications of IoT. Therefore, the second part targets smart healthcare-wearable sensors, body area sensors, advanced pervasive healthcare systems, and big data analytics that are aimed at providing connected health interventions to individuals for healthier lifestyles.

Computer Applications in Drug Discovery and Development
Computer Applications in Drug Discovery and Development

Author: Puratchikody, A.

Publisher: IGI Global

Published: 2018-11-23

Total Pages: 348

ISBN-13: 1522573275

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With more restrictions upon animal experimentations, pharmaceutical industries are currently focusing on a new generation of experiments and technologies that are considerably more efficient and less controversial. The integration of computational and experimental strategies has led to the identification and development of promising compounds. Computer Applications in Drug Discovery and Development is a pivotal reference source that provides innovative research on the application of computers for discovering and designing new drugs in modern molecular biology and medicinal chemistry. While highlighting topics such as chemical structure databases and dataset utilization, this publication delves into the current panorama of drug discovery, where high drug failure rates are a major concern and properly designed virtual screening strategies can be a time-saving, cost-effective, and productive alternative. This book is ideally designed for chemical engineers, pharmacists, molecular biologists, students, researchers, and academicians seeking current research on the unexplored avenues and future perspectives of drug design.

International Journal of Software Science and Computational Intelligence
International Journal of Software Science and Computational Intelligence

Author: Yingxu Wang

Publisher: IGI Publishing

Published: 2010

Total Pages: 116

ISBN-13: 9781609609467

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The latest developments in computer science, theoretical software engineering, cognitive science, cognitive informatics, intelligence science, and the crystallization of accumulated knowledge by the fertilization of these areas, have led to the emergence of a transdisciplinary and convergence field known as software and intelligence sciences International Journal of Software Science and Computational Intelligence (IJSSCI) is a transdisciplinary, archived, and rigorously refereed journal that publishes and disseminates cutting-edge research findings and technological developments in the emerging fields of software science and computational intelligence, as well as their engineering applications.

Biomedical Informatics
Biomedical Informatics

Author: Edward H. Shortliffe

Publisher: Springer Science & Business Media

Published: 2013-12-02

Total Pages: 970

ISBN-13: 1447144740

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The practice of modern medicine and biomedical research requires sophisticated information technologies with which to manage patient information, plan diagnostic procedures, interpret laboratory results, and carry out investigations. Biomedical Informatics provides both a conceptual framework and a practical inspiration for this swiftly emerging scientific discipline at the intersection of computer science, decision science, information science, cognitive science, and biomedicine. Now revised and in its third edition, this text meets the growing demand by practitioners, researchers, and students for a comprehensive introduction to key topics in the field. Authored by leaders in medical informatics and extensively tested in their courses, the chapters in this volume constitute an effective textbook for students of medical informatics and its areas of application. The book is also a useful reference work for individual readers needing to understand the role that computers can play in the provision of clinical services and the pursuit of biological questions. The volume is organized so as first to explain basic concepts and then to illustrate them with specific systems and technologies.

Computer Applications in Pharmaceutical Research and Development
Computer Applications in Pharmaceutical Research and Development

Author: Sean Ekins

Publisher: John Wiley & Sons

Published: 2006-07-11

Total Pages: 840

ISBN-13: 0470037229

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A unique, holistic approach covering all functions and phases of pharmaceutical research and development While there are a number of texts dedicated to individual aspects of pharmaceutical research and development, this unique contributed work takes a holistic and integrative approach to the use of computers in all phases of drug discovery, development, and marketing. It explains how applications are used at various stages, including bioinformatics, data mining, predicting human response to drugs, and high-throughput screening. By providing a comprehensive view, the book offers readers a unique framework and systems perspective from which they can devise strategies to thoroughly exploit the use of computers in their organizations during all phases of the discovery and development process. Chapters are organized into the following sections: * Computers in pharmaceutical research and development: a general overview * Understanding diseases: mining complex systems for knowledge * Scientific information handling and enhancing productivity * Computers in drug discovery * Computers in preclinical development * Computers in development decision making, economics, and market analysis * Computers in clinical development * Future applications and future development Each chapter is written by one or more leading experts in the field and carefully edited to ensure a consistent structure and approach throughout the book. Figures are used extensively to illustrate complex concepts and multifaceted processes. References are provided in each chapter to enable readers to continue investigating a particular topic in depth. Finally, tables of software resources are provided in many of the chapters. This is essential reading for IT professionals and scientists in the pharmaceutical industry as well as researchers involved in informatics and ADMET, drug discovery, and technology development. The book's cross-functional, all-phases approach provides a unique opportunity for a holistic analysis and assessment of computer applications in pharmaceutics.

Fundamentals of Natural Computing
Fundamentals of Natural Computing

Author: Leandro Nunes de Castro

Publisher: CRC Press

Published: 2006-06-02

Total Pages: 674

ISBN-13: 1420011448

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Natural computing brings together nature and computing to develop new computational tools for problem solving; to synthesize natural patterns and behaviors in computers; and to potentially design novel types of computers. Fundamentals of Natural Computing: Basic Concepts, Algorithms, and Applications presents a wide-ranging survey of novel techniqu

Programming with TensorFlow
Programming with TensorFlow

Author: Kolla Bhanu Prakash

Publisher: Springer Nature

Published: 2021-01-22

Total Pages: 190

ISBN-13: 3030570770

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This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for deep learning, Natural Language Processing (NLP), speech recognition, and general predictive analytics. The book provides a hands-on approach to TensorFlow fundamentals for a broad technical audience—from data scientists and engineers to students and researchers. The authors begin by working through some basic examples in TensorFlow before diving deeper into topics such as CNN, RNN, LSTM, and GNN. The book is written for those who want to build powerful, robust, and accurate predictive models with the power of TensorFlow, combined with other open source Python libraries. The authors demonstrate TensorFlow projects on Single Board Computers (SBCs).