Скачать книгу - Compendium of Biomedical Instrumentation

An essential guide to healthcare data problems, sources, and solutions Strategies in Biomedical Data Science provides medical professionals with much-needed guidance toward managing the increasing deluge of healthcare data. Beginning with a look at our current top-down methodologies, this book demonstrates the ways in which both technological development and more effective use of current resources can better serve both patient and payer. The discussion explores the aggregation of disparate data sources, current analytics and toolsets, the growing necessity of smart bioinformatics, and more as data science and biomedical science grow increasingly intertwined. You'll dig into the unknown challenges that come along with every advance, and explore the ways in which healthcare data management and technology will inform medicine, politics, and research in the not-so-distant future. Real-world use cases and clear examples are featured throughout, and coverage of data sources, problems, and potential mitigations provides necessary insight for forward-looking healthcare professionals. Big Data has been a topic of discussion for some time, with much attention focused on problems and management issues surrounding truly staggering amounts of data. This book offers a lifeline through the tsunami of healthcare data, to help the medical community turn their data management problem into a solution. Consider the data challenges personalized medicine entails Explore the available advanced analytic resources and tools Learn how bioinformatics as a service is quickly becoming reality Examine the future of IOT and the deluge of personal device data The sheer amount of healthcare data being generated will only increase as both biomedical research and clinical practice trend toward individualized, patient-specific care. Strategies in Biomedical Data Science provides expert insight into the kind of robust data management that is becoming increasingly critical as healthcare evolves.

The second edition of this popular compendium provides the necessary intellectual equipment to engage with and participate in effective philosophical argument, reading, and reflection Features significantly revised, updated and expanded entries, and an entirely new section drawn from methods in the history of philosophy This edition has a broad, pluralistic approach–appealing to readers in both continental philosophy and the history of philosophy, as well as analytic philosophy Explains difficult concepts in an easily accessible manner, and addresses the use and application of these concepts Proven useful to philosophy students at both beginning and advanced levels

The Literary Theory Toolkit offers readers a rich compendium of key terms, concepts, and arguments necessary for the study of literature in a critical-theoretical context. Includes varied examples drawn from readily available literary texts spanning all periods and genres Features a chapter on performance, something not usually covered in similar texts Covers differing theories of the public sphere, ideology, power, and the social relations necessary for the understanding of approaches to literature

This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. The author presents both basic and advanced topics, focusing on those that are relevant to the computational analysis of large data sets in biology. Chapters begin with a description of a statistical concept and a current example from biomedical research, followed by more detailed presentation, discussion of limitations, and problems. The book starts with an introduction to probability and statistics for genome-wide data, and moves into topics such as clustering, classification, multi-dimensional visualization, experimental design, statistical resampling, and statistical network analysis. Clearly explains the use of bioinformatics tools in life sciences research without requiring an advanced background in math/statistics Enables biomedical and life sciences researchers to successfully evaluate the validity of their results and make inferences Enables statistical and quantitative researchers to rapidly learn novel statistical concepts and techniques appropriate for large biological data analysis Carefully revisits frequently used statistical approaches and highlights their limitations in large biological data analysis Offers programming examples and datasets Includes chapter problem sets, a glossary, a list of statistical notations, and appendices with references to background mathematical and technical material Features supplementary materials, including datasets, links, and a statistical package available online Statistical Bioinformatics is an ideal textbook for students in medicine, life sciences, and bioengineering, aimed at researchers who utilize computational tools for the analysis of genomic, proteomic, and many other emerging high-throughput molecular data. It may also serve as a rapid introduction to the bioinformatics science for statistical and computational students and audiences who have not experienced such analysis tasks before.

Discover how advances in mass spectrometry are fueling new discoveries across a broad range of research areas Electrospray and MALDI Mass Spectrometry brings both veteran practitioners and beginning scientists up to date with the most recent trends and findings in electrospray ionization and matrix-assisted laser desorption/ionization (MALDI) mass spectrometry. In particular, this Second Edition highlights how advances in electrospray and MALDI mass spectrometry are supporting important discoveries in new and emerging fields such as proteomics and metabolomics as well as in traditional areas of chemistry and physics research. Electrospray AND MALDI Mass Spectrometry, SECOND EDITION is divided into five parts: Part A, Fundamentals of ES, explains the fundamental phenomena underlying the electrospray process, including selectivity in ionization and inherent electrochemistry, and concludes with a chapter offering a comparative inventory of source hardware Part B, Fundamentals of MALDI, confronts ionization mechanisms, instrument development, and matrix selection, and includes a final chapter that explores the special application of MALDI to obtain two-dimensional images of spatial distributions of compounds on surfaces Part C, ES and MALDI Coupling to Mass Spectrometry Instrumentation, examines the coupling of these ionization techniques to various mass analyzers, including quadrupole ion trap, time-of-flight, Fourier transform ion cyclotron resonance, and ion mobility mass spectrometers Part D, Practical Aspects of ES and MALDI, investigates analytical issues including quantification, charge-state distributions, noncovalent interactions in solution that are preserved as gas-phase ions, and various means of ion excitation in preparation for tandem mass spectrometry, and offers a guide to the interpretation of even-electron mass spectra Part E, Biological Applications of ES and MALDI, examines the role of mass spectrometry in such areas as peptide and protein characterization, carbohydrate analysis, lipid analysis, and drug discovery Written by a team of leading experts, the book not only provides a critical review of the literature, but also presents key concepts in tutorial fashion to help readers take full advantage of the latest technological breakthroughs and applications. As a result, Electrospray and MALDI Mass Spectrometry will help researchers fully leverage the power of electrospray and MALDI mass spectrometry. The judicious compartmentalization of chapters, and the pedagogic presentation style throughout, render the book highly suitable for use as a text for graduate-level courses in advanced mass spectrometry.