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| Author | : Mark Wheelis |
| Publisher | : Jones & Bartlett Learning |
| Total Pages | : 525 |
| Release | : 2008 |
| Genre | : Medical |
| ISBN | : 076371075X |
This text balances brevity and clarity in a condensed introduction to microbiology. It contains a manageable amount of detail and yet covers the full range and diversity of the microbial world.
| Author | : National Library of Medicine (U.S.) |
| Publisher | : |
| Total Pages | : 88 |
| Release | : 1981 |
| Genre | : |
| ISBN | : |
| Author | : Vishal Jain |
| Publisher | : Springer Nature |
| Total Pages | : 418 |
| Release | : 2020-03-09 |
| Genre | : Technology & Engineering |
| ISBN | : 3030408507 |
This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for healthcare informatics, it reflects the diversity, complexity, and the depth and breadth of this multi-disciplinary area. Further, it describes techniques for applying machine learning within organizations and explains how to evaluate the efficacy, suitability, and efficiency of such applications. Featuring illustrative case studies, including how chronic disease is being redefined through patient-led data learning, the book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare challenges.
| Author | : Ute Roessner |
| Publisher | : Humana |
| Total Pages | : 0 |
| Release | : 2016-08-23 |
| Genre | : Medical |
| ISBN | : 9781493963010 |
Classical natural product chemistry is transitioning to modern day metabolomics as a result of the advent of comprehensive analytical platforms and sensitive analytical instrumentation. Therefore, it is worthwhile to summarize recent developments with current analytical platforms and highlight how metabolomics is being integrated into this classical field to dereplicate and profile natural product extracts. Metabolomics Tools for Natural Product Discoveries: Methods and Protocols aims to unite diverse and recently developed methodologies and protocols in order to identify bioactive secondary metabolites for the purpose of drug discovery. Some topics covered in this volume include applications for the extraction of selected natural products from less common sources such as bryophytes and hard corals, various biological assays, comprehensive applications and strategies for GC-MS, LC-MS, and NMR, as well as protocols and strategies for the structure elucidation of isolated natural products. Written in the successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible protocols, and notes on troubleshooting and avoiding known pitfalls. Authoritative and easily accessible Metabolomics Tools for Natural Product Discoveries: Methods and Protocols seeks to serve both professionals and research students with its well-honed methodologies for natural product isolation, biomarker discovery, dereplication, biological assays, and comprehensive metabolomic platforms available for high-throughput analyses.
| Author | : Manoj Kumar Jhariya |
| Publisher | : Springer Nature |
| Total Pages | : 873 |
| Release | : 2021-10-21 |
| Genre | : Science |
| ISBN | : 9811632073 |
This edited book provides a comprehensive account of the sustainable intensification process through various forms of case studies and scientific approaches studied across the globe. It also focuses on the agroecosystem services and their subsequent management for ecological integrity. The book helps to understand the interconnection of food, nutrition, economic growth, and environmental security on the planet. It provides comprehensive information with photographic illustration and various other forms of scientific databases on sustainable intensification of agroecosystems. The book also supports decision-making, strategies, and policy formulation for effective implementation of sustainable intensification towards higher productivity along with maintenance and management of agroecosystem services. Proper sustainable intensification of agroecosystem services and their management by maintaining ecological harmony is the future prospect for sustainable development. High input agriculture gives rise to a high-energy footprint, agricultural pollution, resource depletion, loss of agro-biodiversity, and decline of human health. Through this connection, the sustainable intensification approach addresses the advanced food security, sustainability, and overall prosperity of humankind. The book is helpful for both undergraduate and postgraduate students, policymakers, the farming community, as well as the scientific community across the globe to understand the concept of sustainable intensification and its application in relevant fields for proper management of agroecosystems services.
| Author | : Robert M. Rydzewski |
| Publisher | : Elsevier |
| Total Pages | : 535 |
| Release | : 2010-07-07 |
| Genre | : Medical |
| ISBN | : 0080914888 |
Drug discovery increasingly requires a common understanding by researchers of the many and diverse factors that go into the making of new medicines. The scientist entering the field will immediately face important issues for which his education may not have prepared him: project teams, patent law, consultants, target product profiles, industry trends, Gantt charts, target validation, pharmacokinetics, proteomics, phenotype assays, biomarkers, and many other unfamiliar topics for which a basic understanding must somehow be obtained. Even the more experienced scientist can find it frustratingly difficult to get an overview of the many factors involved in modern drug discovery and often only after years of exploring does a whole and integrated picture emerge in the mind of the researcher.Real World Drug Discovery: A Chemist's Guide to Biotech and Pharmaceutical Research presents this kind of map of the landscape of drug discovery. In a single, readable volume it outlines processes and explains essential concepts and terms for the recent science graduate wondering what to expect in pharma or biotech, the medicinal chemist seeking a broader and more timely understanding of the industry, or the contractor or collaborator whose understanding of the commercial drug discovery process could increase the value of his contribution to it. - Interviews with well-known experts in many of the fields involved, giving insightful comments from authorities on many of the sub-disciplines important to cutting edge drug discovery. - Helpful suggestions gleaned from years of experience in biotech and pharma, which represents a repository drug discovery "lore" not previously available in any book. - "Periodic Table of Drugs" listing current top-selling drugs arranged by target and laid out so that structural similarities and differences are plain and clear. - Extensive use of diagrams to illustrate concepts like biotech startup models, preteomic profiling for target identification, Gantt charts for project planning, etc.
| Author | : Washington Odongo Ochola |
| Publisher | : IDRC |
| Total Pages | : 572 |
| Release | : 2010 |
| Genre | : Business & Economics |
| ISBN | : 9966792090 |
The complex and dynamic interlinks between natural resource management (NRM) and development have long been recognized by national and international research and development organizations and have generated voluminous literature. However, much of what is available in the form of university course books, practical learning manuals and reference materials in NRM is based on experiences from outside Africa. Managing Natural Resources for Development in Africa: A Resource Book provides an understanding of the various levels at which NRM issues occur and are being addressed scientifically, economically, socially and politically. The book's nine chapters present state-of-the-art perspectives within a holistic African context. The book systematically navigates the tricky landscape of integrated NRM, with special reference to Eastern and Southern Africa, against the backdrop of prevailing local, national, regional and global social, economic and environmental challenges. The authors' wide experience, the rich references made to emerging challenges and opportunities, and the presentation of different tools, principles, approaches, case studies and processes make the book a rich and valuable one-stop resource for postgraduate students, researchers, policymakers and NRM practitioners. The book is designed to help the reader grasp in-depth NRM perspectives and presents innovative guidance for research design and problem solving, including review questions, learning activities and recommended further reading. The book was developed through a writeshop process by a multi-disciplinary team of lecturers from the University of Nairobi, Egerton University, Kenyatta University, the University of Zimbabwe, the University of Malawi, Makerere University and the University of Dar es Salam. In addition, selected NRM experts from regional and international research organizations including the World Agroforestry Center (ICRAF), the Africa Forest Forum, RUFORUM, IIRR and the International Development Research Centre (IDRC) participated in the writeshop and contributed material to the book.
| Author | : Berthold Lausen |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 532 |
| Release | : 2013-08-28 |
| Genre | : Computers |
| ISBN | : 3319000357 |
This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operations research, and statistics. In addition to theory-oriented contributions various application areas are included. Moreover, traditional classification research directions concerning network data, graphs, and social relationships as well as statistical musicology describe examples for current interest fields tackled by the authors. The book comprises a total of 55 selected papers presented at the Joint Conference of the German Classification Society (GfKl), the German Association for Pattern Recognition (DAGM), and the Symposium of the International Federation of Classification Societies (IFCS) in 2011.
| Author | : Arun Kumar Sangaiah |
| Publisher | : Academic Press |
| Total Pages | : 282 |
| Release | : 2019-07-26 |
| Genre | : Technology & Engineering |
| ISBN | : 0128172932 |
Deep Learning and Parallel Computing Environment for Bioengineering Systems delivers a significant forum for the technical advancement of deep learning in parallel computing environment across bio-engineering diversified domains and its applications. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, mining, recommendation systems, image processing, pattern recognition and predictions using deep learning paradigms is the major strength of this book. This book integrates the core ideas of deep learning and its applications in bio engineering application domains, to be accessible to all scholars and academicians. The proposed techniques and concepts in this book can be extended in future to accommodate changing business organizations' needs as well as practitioners' innovative ideas. - Presents novel, in-depth research contributions from a methodological/application perspective in understanding the fusion of deep machine learning paradigms and their capabilities in solving a diverse range of problems - Illustrates the state-of-the-art and recent developments in the new theories and applications of deep learning approaches applied to parallel computing environment in bioengineering systems - Provides concepts and technologies that are successfully used in the implementation of today's intelligent data-centric critical systems and multi-media Cloud-Big data
| Author | : Xuedong Liu |
| Publisher | : Humana Press |
| Total Pages | : 327 |
| Release | : 2013-01-31 |
| Genre | : Science |
| ISBN | : 9781617798344 |
Signaling networks are composed of numerous signaling pathways and each has its own intricate component parts. Signaling outputs are dynamic, extraordinarily complex and yet highly specific. In, Computational Modeling of Signaling Networks: Methods and Protocols, expert researchers in the field provide key techniques to study signaling networks. Focusing on Systems of ODEs, parameterization of signaling models, signaling pathways, mass-action kinetics and ODEs, and how to use modeling to plan experiments. Written in the highly successful Methods in Molecular BiologyTM series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results in the laboratory. Thorough and intuitive, Computational Modeling of Signaling Networks: Methods and Protocols aids scientists in continuing study of how signaling networks behave in space and time to generate specific biological responses and how those responses impact biology and medicine.
