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Over the past few years, research in the field of quantitative structure-activity relationships (QSAR) in chemistry, biology, pharmacology, toxicology, and environmental sciences has seen strong growth. New journals and books have appeared in each of these fields, however, the combination of QSAR and environmental sciences is still in its infancy. After the success of the Workshop on Quantitative Structure-Activity Relationships (QSAR) in Environmental Toxicology, held at McMaster University, Aug ust 16-18, 1983, with the proceedings publ ished in 1984 [QSA R in Environmental Toxicology, Kaiser, K. L. E. (Ed. ), D. Reidel Pub!. Co. , Dordrecht, 406 p. , ISBN 90-277 -1776-1], it was time to hold another workshop in 1986. Indeed, the response by the scientific community was excellent with over 50 participants from Canada, Germany, Great Britain, Hungary, India, Japan, The Netherlands, United States, and Yugoslavia. Moreover, both breadth and depth of papers given were significantly improved and the workshop discussions were intense and frank. Regrettably, the number of participants, number of papers given and submitted for these proceedings made it impossible to include the workshop discussions of these papers. However, several manuscripts were revised on the basis of these discussions and, therefore, do reflect this very interactive workshop. This volume presents the majority of papers given at the 2nd International Workshop on QSAR in Environmental Toxicology, held at McMaster University, June 9-13, 1986. Many of these papers contain primary, new scientific data, equations and results which will not appear elsewhere.
Chemical Exposure Predictions discusses the challenges of analyzing biological and geological cycles of various chemical substances and evaluating their potential exposure "from the cradle to the grave." The book examines physico-chemical properties, the possibilities for predicting degradation, and partition coefficients and kinetics of distribution phenomena. It also covers how to validate predictions and presents examples of hazard assessment. Chemical Exposure Predictions will be an indispensable reference for environmental chemists, environmental toxicologists, ecotoxicologists, occupational health specialists, regulatory personnel, and environmental consultants.
This book provides a comprehensive introduction to rough set-based feature selection. Rough set theory, first proposed by Zdzislaw Pawlak in 1982, continues to evolve. Concerned with the classification and analysis of imprecise or uncertain information and knowledge, it has become a prominent tool for data analysis, and enables the reader to systematically study all topics in rough set theory (RST) including preliminaries, advanced concepts, and feature selection using RST. The book is supplemented with an RST-based API library that can be used to implement several RST concepts and RST-based feature selection algorithms. The book provides an essential reference guide for students, researchers, and developers working in the areas of feature selection, knowledge discovery, and reasoning with uncertainty, especially those who are working in RST and granular computing. The primary audience of this book is the research community using rough set theory (RST) to perform feature selection (FS) on large-scale datasets in various domains. However, any community interested in feature selection such as medical, banking, and finance can also benefit from the book. This second edition also covers the dominance-based rough set approach and fuzzy rough sets. The dominance-based rough set approach (DRSA) is an extension of the conventional rough set approach and supports the preference order using the dominance principle. In turn, fuzzy rough sets are fuzzy generalizations of rough sets. An API library for the DRSA is also provided with the second edition of the book.
Slightly more than 100,000 chemicals are produced in such an amount that they are threatening to the environment. These include common chemicals such as household cleaners, detergents, cosmetics, medicines, and pesticides. The Handbook of Estimation Methods in Ecotoxicology and Environmental Chemistry presents estimation methods for determining a number of physicochemical, biological, and toxicological parameters for these chemicals. Included is WinTox software, an estimation tool that is quick and easy to use; it provides a good initial estimate that can be further refined. Through the estimation methods demonstrated in this book, the following urgent questions can be answered:
In recent years many developments have taken place in promote co-operation between governments and other the field of risk assessment of chemicals. Many reports parties involved in chemical safety and to provide policy have been published by national authorities, industries guidance with emphasis on regional and subregional co and scientific researchers as well as by international bod operation. The Inter-Organization Programme for the ies such as the European Union, the Organization of Sound Management of Chemicals (IOMC) was estab Economic Cooperation and Development (OECD) and lished in 1995 and provides a mechanism for the six par the joint International Programme on Chemical Safety ticipating organizations (UNEP, ILO, FAO, UNIDO,WHO (IPCS) of the World Health Organization (WHO), the and OECD) to better co-ordinate policies and activities in International Labour Organization (lLO), and the United the field of chemical risk management. Nations Environment Programme (UNEP). The present book is an introduction to risk assessment of The development and international harmonization of risk chemicals. It contains basic background information on assessment methods is an important challenge. In sources, emissions, distribution and fate processes for Agenda 21 of the United Nations Conference on exposure estimation. It includes dose-effects estimation Environment and Development (UNCED), chapter 19 is for both human health related toxicology and ecotoxicol entirely devoted to the management of chemicals. For ogy as well as information on estimation methodologies. one of its recommendations, i. e.