In Good and Real, Gary Drescher examines a series of provocative paradoxes about consciousness, choice, ethics, quantum mechanics, and other topics, in an effort to reconcile a purely mechanical view of the universe with key aspects of our subjective impressions of our own existence.

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.

This book provides a basic understanding of the theories, associated algorithms, resources, and tools used in structural bioinformatics. The reader emerges with the ability to make effective use of protein, DNA, RNA, carbohydrate, and complex structures to better understand biological function. Moreover, it draws a clear connection between structural studies and the rational design of new therapies.

"A must read for all of us committed to understanding the interplay of structure and function. The individual chapters outline the suite of major basic life science questions such as the status of efforts to predict protein structure and how proteins carry out cellular functions, and also the applied life science questions such as how structural bioinformatics can improve health care through accelerating drug discovery."

...organizes the wealth of information found in the medical and scientific literature and illuminates those areas of drug development and treatment that, though still not well understood, are crucial to effective patient management, and infection prevention
This book is a comprehensive text on the prophylaxis and treatment of opportunistic infections in a fast growing population of immunocompromised hosts. To this end, the array of diseases covered includes not only opportunistic infections exclusively associated with immunocompromised patients but also infectious diseases which even though benign and self-resolving in immunocompetent hosts, have the potential of becoming serious illnesses in immunocompromised patients.

A comprehensive glossary of over 15000 English language and dialect terms from around the world including: American slang, Australian slang, British slang, Canadian slang, South African slang, Cockney rhyming slang, Irish slang, Scottish slang, Jamaican slang, theater slang, bingo slang and Dorset slang.

Written by a pioneer of the use of bioinformatics in research, the second edition of Introduction to Bioinformatics introduces the student to the power of bioinformatics as a set of scientific tools. Retaining and enhancing the rich pedagogy and lucid presentation of the first edition, this new edition explains how to access the data archives of genomes and proteins, and the kind of questions these data and tools can answer. It also discusses how to make inferences from the data archives, how to make connections among them, and how to derive useful and interesting predictions.

A quantitative study of the efficiency of computer methods requires an in-depth understanding of both mathematics and computer science. This monograph, derived from an advanced computer science course at Stanford University, builds on the fundamentals of combinatorial analysis and complex variable theory to present many of the major paradigms used in the precise analysis of algorithms, emphasizing the more difficult notions.

Goal Directed Proof Theory presents a uniform and coherent methodology for automated deduction in non-classical logics, the relevance of which to computer science is now widely acknowledged. The methodology is based on goal-directed provability. It is a generalization of the logic programming style of deduction, and it is particularly favourable for proof search.

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Disney Learning - Phonics and Reading
32 Pages | JPEG | 11,6 Mb | English

Every real-world problem from economic to scientific and engineering fields is ultimately confronted with a common task, viz., optimization. Genetic and evolutionary algorithms (GEAs) have often achieved an enviable success in solving optimization problems in a wide range of disciplines. The goal of this book is to provide effective optimization algorithms for solving a broad class of problems quickly, accurately, and reliably by employing evolutionary mechanisms.