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Parallel Computing for Bioinformatics and Computational Biology
Discover how to streamline complex bioinformatics applications with parallel computing This publication enables readers to handle more complex bioinformatics applications and larger and richer data sets. As the editor clearly shows, using powerful parallel computing tools can lead to significant breakthroughs in deciphering genomes, understanding genetic disease, designing customized drug therapies, and understanding evolution. A broad range of bioinformatics applications is covered with demonstrations on how each one can be parallelized to improve performance and gain faster rates of computation. Current parallel computing techniques and technologies are examined, including distributed comp...
Brain Informatics
This book constitutes the refereed proceedings of the International Conference on Brain Informatics, BI 2017, held in Beijing, China, in November 2017. The 31 revised full papers were carefully reviewed and selected from 64 submissions. BI addresses the computational, cognitive, physiological, biological, physical,ecological and social perspectives of brain informatics, as well as topics related tomental health and well-being.
Neuroscience Data in the Cloud
The cloud model of data sharing has led to a vast increase in the quantity and complexity of data and expanded access to these data, which has attracted many more researchers, enabled multi-national neuroscience collaborations, and facilitated the development of many new tools. Yet, the cloud model has also produced new challenges related to data storage, organization, and protection. Merely switching the technical infrastructure from local repositories to cloud repositories is not enough to optimize data use. To explore the burgeoning use of cloud computing in neuroscience, the National Academies Forum on Neuroscience and Nervous System Disorders hosted a workshop on September 24, 2019. A broad range of stakeholders involved in cloud-based neuroscience initiatives and research explored the use of cloud technology to advance neuroscience research and shared approaches to address current barriers. This publication summarizes the presentation and discussion of the workshop.
Ensuring the Integrity, Accessibility, and Stewardship of Research Data in the Digital Age
As digital technologies are expanding the power and reach of research, they are also raising complex issues. These include complications in ensuring the validity of research data; standards that do not keep pace with the high rate of innovation; restrictions on data sharing that reduce the ability of researchers to verify results and build on previous research; and huge increases in the amount of data being generated, creating severe challenges in preserving that data for long-term use. Ensuring the Integrity, Accessibility, and Stewardship of Research Data in the Digital Age examines the consequences of the changes affecting research data with respect to three issues - integrity, accessibil...
Neuroinformatics
Neuroinformatics presents cutting-edge techniques for the synergistic study of neuroinformatics. The book facilitates the efforts of discovering neuroscience through the sharing of data and the use of computational models. It demonstrates the use of neuroinformatic components as a mechanism for understanding complex disorders. It contains detailed explanations, advantages, and disadvantages of traditional and non-invasive imaging methods.
Pretty Ugly
People are chemical machines, yet we (and some other animals) develop a sense of beauty. Why and how did it evolve? How is it formed? This book answers these questions from the perspective of scientists with deep knowledge of the arts. It interweaves experimental sciences with the histories of art, architecture, music, dance, speech, literature, and food. Although we perceive each of our senses to be dramatically different, the authors show them all to be similar under the hood—similar in how they function and in how they shape our aesthetic experience. The authors cover many fields, and do not assume the reader has any special knowledge or expertise. They avoid jargon, equations and formulae, and begin every discussion at an introductory level. However, introductory does not mean elementary. This is a broad knife that cuts deep.
Discovery Science
This book constitutes the refereed proceedings of the 8th International Conference on Discovery Science, DS 2005, held in Singapore in October 2005, co-located with the International Conference on Algorithmic Learning Theory (ALT 2005). The 21 revised long papers and the 6 revised regular papers presented together with 9 project reports and 5 invited papers were carefully reviewed and selected from 112 submissions. The papers cover all issues in the area of automating scientific discovery or working on tools for supporting the human process of discovery in science.
New Top Technologies Every Librarian Needs to Know
Sure to spark discussions about library innovation, this collection is a must have for staff interested in technology or involved with strategic planning.
Manual of School Health
Completely updated, the 3rd edition of this practical, highly portable manual offers quick access to the most relevant health and wellness information for children -- from birth through age 21 – in the school setting. You'll find valuable guidance on developmental stages, learning domains, acute and chronic illnesses, first aid, medical syndromes, special education, and emergency illness. This edition also addresses the growing array of issues affecting today's children, including mental health disorders, disaster management, substance abuse, and school violence, as well as new threats such as West Nile virus, dermatological conditions, and the reemergence of tuberculosis. Ideal for use in...
Life-Cycle Decisions for Biomedical Data
Biomedical research results in the collection and storage of increasingly large and complex data sets. Preserving those data so that they are discoverable, accessible, and interpretable accelerates scientific discovery and improves health outcomes, but requires that researchers, data curators, and data archivists consider the long-term disposition of data and the costs of preserving, archiving, and promoting access to them. Life Cycle Decisions for Biomedical Data examines and assesses approaches and considerations for forecasting costs for preserving, archiving, and promoting access to biomedical research data. This report provides a comprehensive conceptual framework for cost-effective decision making that encourages data accessibility and reuse for researchers, data managers, data archivists, data scientists, and institutions that support platforms that enable biomedical research data preservation, discoverability, and use.
