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Biology and General Science

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Beyond the Bad-Apple Approach

Federal regulations that govern research misconduct in biomedicine have not been able to prevent an ongoing series of high-profile cases of fabricating, falsifying, or plagiarizing scientific research. In this book, Barbara Redman looks critically at current research misconduct policy and proposes a new approach that emphasizes institutional context and improved oversight.

An Introduction

Systems techniques are integral to current research in molecular cell biology, and system-level investigations are often accompanied by mathematical models. These models serve as working hypotheses: they help us to understand and predict the behavior of complex systems. This book offers an introduction to mathematical concepts and techniques needed for the construction and interpretation of models in molecular systems biology.

Using the tools of information technology to understand the molecular machinery of the cell offers both challenges and opportunities to computational scientists. Over the past decade, novel algorithms have been developed both for analyzing biological data and for synthetic biology problems such as protein engineering. This book explains the algorithmic foundations and computational approaches underlying areas of structural biology including NMR (nuclear magnetic resonance); X-ray crystallography; and the design and analysis of proteins, peptides, and small molecules.

From Insects to Jumbo Jets

From the smallest gnat to the largest aircraft, all things that fly obey the same aerodynamic principles. In The Simple Science of Flight, Henk Tennekes investigates just how machines and creatures fly: what size wings they need, how much energy is required for their journeys, how they cross deserts and oceans, how they take off, climb, and soar. Fascinated by the similarities between nature and technology, Tennekes offers an introduction to flight that teaches by association. Swans and Boeings differ in numerous ways, but they follow the same aerodynamic principles.

An Introduction to Molecular Biology

Recent research in molecular biology has produced a remarkably detailed understanding of how living things operate. Becoming conversant with the intricacies of molecular biology and its extensive technical vocabulary can be a challenge, though, as introductory materials often seem more like a barrier than an invitation to the study of life.

Darwinian Perspectives on Human Nature

Evolutionary psychology occupies an important place in the drive to understand and explain human behavior. Darwinian ideas provide powerful tools to illuminate how fundamental aspects of the way humans think, feel, and interact derive from reproductive interests and an ultimate need for survival. In this updated and expanded edition of Evolution and Human Behavior, John Cartwright considers the emergence of Homo sapiens as a species and looks at contemporary issues, such as familial relationships and conflict and cooperation, in light of key theoretical principles.

A Survey of Practical Models, Algorithms, and Numerical Methods

There are many excellent computational biology resources now available for learning about methods that have been developed to address specific biological systems, but comparatively little attention has been paid to training aspiring computational biologists to handle new and unanticipated problems. This text is intended to fill that gap by teaching students how to reason about developing formal mathematical models of biological systems that are amenable to computational analysis.

Edited by Elliott Sober

These essays by leading scientists and philosophers address conceptual issues that arise in the theory and practice of evolutionary biology. The third edition of this widely used anthology has been substantially revised and updated. Four new sections have been added: on women in the evolutionary process, evolutionary psychology, laws in evolutionary theory, and race as social construction or biological reality. Other sections treat fitness, units of selection, adaptationism, reductionism, essentialism, species, phylogenetic inference, cultural evolution, and evolutionary ethics.

This introductory text offers a clear exposition of the algorithmic principles driving advances in bioinformatics. Accessible to students in both biology and computer science, it strikes a unique balance between rigorous mathematics and practical techniques, emphasizing the ideas underlying algorithms rather than offering a collection of apparently unrelated problems.The book introduces biological and algorithmic ideas together, linking issues in computer science to biology and thus capturing the interest of students in both subjects.

This textbook for instruction in biomedical research ethics can also serve as a valuable reference for professionals in the field of bioethics. The 149 cases included in the book are grouped in nine chapters, each of which covers a key area of debate in the field. Some of the case studies are classics, including the famous cases of the Tuskegee Syphilis Study (in which subjects with syphilis were not given treatment) and the Willowbrook hepatitis studies (in which institutionalized subjects were intentionally exposed to hepatitis).

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