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Bees are critically important for ecosystem function and biodiversity maintenance through their pollinating activity. This book provides a collection of computational methods to those primarily interested in the study of the ecology, ethology, and ecotoxicology of bees. It presents numerous case studies to enable readers to understand the appropriateness but also the limitations of models in theoretical and applied bee research. Written by an international team of experts, this book covers the main types of modeling approaches that can be used in terrestrial ecology and applied ecotoxicology.
Based on the Lectures given during the Eurocourse on `Practical Applications of Quantitative Structure-Activity (QSAR) in Environmental Chemistry and Toxicology' held at the Joint Research Centre Ispra, Italy, June 11--15, 1990
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Based on the Lectures given during the Eurocourse on `Applied Multivariate Analysis in SAR and Environmental Studies' held at the Joint Research Centre, Ispra, Italy, June 24-28, 1991
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Vols. 65-96 include "Central law journal's international law list."
This volume concerns sources of polycyclic aromatic hydrocarbons (PAH), their emission factors, and relative importance. It deals with exposure, uptake, metabolism, and detection of PAH in the human body. The volume contains an update of information in environmental and biochemical studies of PAH.
Genetic Algorithms in Molecular Modeling is the first book available on the use of genetic algorithms in molecular design. This volume marks the beginning of an ew series of books, Principles in Qsar and Drug Design, which will be an indispensible reference for students and professionals involved in medicinal chemistry, pharmacology, (eco)toxicology, and agrochemistry. Each comprehensive chapter is written by a distinguished researcher in the field. Through its up to the minute content, extensive bibliography, and essential information on software availability, this book leads the reader from the theoretical aspects to the practical applications. It enables the uninitiated reader to apply genetic algorithms for modeling the biological activities and properties of chemicals, and provides the trained scientist with the most up to date information on the topic. - Extremely topical and timely - Sets the foundations for the development of computer-aided tools for solving numerous problems in QSAR and drug design - Written to be accessible without prior direct experience in genetic algorithms