Найти книгу: "Computational Biology"

This book will serve as an ideal guide to the relatively new and complex field of bioelectromagnetics for students and researchers interested in the interaction of biological systems and electromagnetic fields. Coverage details:(1) biological responses of human and animals, both in vivo and in vitro methodologies, to magnetic and/or electromagnetic field exposure, (2) characteristics of effective fields, (3) hypotheses to explain possible mechanisms of interaction between the fields and cells, and (4) induced current in ELF and induced heat in RF fields as key interaction mechanisms.

The approachable, comprehensive guide to neurobiology Neurobiology rolls the anatomy, physiology, and pathology of the nervous system into one complex area of study. Neurobiology For Dummies breaks down the specifics of the topic in a fun, easy-to-understand manner. The book is perfect for students in a variety of scientific fields ranging from neuroscience and biology to pharmacology, health science, and more. With a complete overview of the molecular and cellular mechanisms of the nervous system, this complete resource makes short work of the ins and outs of neurobiology so you can understand the details quickly. Dive into this fascinating guide to an even more fascinating subject, which takes a step-by-step approach that naturally builds an understanding of how the nervous system ties into the very essence of human beings, and what that means for those working and studying in the field of neuroscience. The book includes a complete introduction to the subject of neurobiology. Gives you an overview of the human nervous system, along with a discussion of how it's similar to that of other animals Discusses various neurological disorders, such as strokes, Alzheimer's disease, Parkinson's disease, and schizophrenia Leads you through a point-by-point approach to describe the science of perception, including how we think, learn, and remember Neurobiology For Dummies is your key to mastering this complex topic, and will propel you to a greater understanding that can form the basis of your academic and career success.

The ultimate guide to understanding biology Have you ever wondered how the food you eat becomes the energy your body needs to keep going? The theory of evolution says that humans and chimps descended from a common ancestor, but does it tell us how and why? We humans are insatiably curious creatures who can't help wondering how things work—starting with our own bodies. Wouldn't it be great to have a single source of quick answers to all our questions about how living things work? Now there is. From molecules to animals, cells to ecosystems, Biology For Dummies answers all your questions about how living things work. Written in plain English and packed with dozens of enlightening illustrations, this reference guide covers the most recent developments and discoveries in evolutionary, reproductive, and ecological biology. It's also complemented with lots of practical, up-to-date examples to bring the information to life. Discover how living things work Think like a biologist and use scientific methods Understand lifecycle processes Whether you're enrolled in a biology class or just want to know more about this fascinating and ever-evolving field of study, Biology For Dummies will help you unlock the mysteries of how life works.

A comprehensive introduction to various numerical methods used in computational finance today Quantitative skills are a prerequisite for anyone working in finance or beginning a career in the field, as well as risk managers. A thorough grounding in numerical methods is necessary, as is the ability to assess their quality, advantages, and limitations. This book offers a thorough introduction to each method, revealing the numerical traps that practitioners frequently fall into. Each method is referenced with practical, real-world examples in the areas of valuation, risk analysis, and calibration of specific financial instruments and models. It features a strong emphasis on robust schemes for the numerical treatment of problems within computational finance. Methods covered include PDE/PIDE using finite differences or finite elements, fast and stable solvers for sparse grid systems, stabilization and regularization techniques for inverse problems resulting from the calibration of financial models to market data, Monte Carlo and Quasi Monte Carlo techniques for simulating high dimensional systems, and local and global optimization tools to solve the minimization problem.