Quantitative Modeling in Toxicology

During the past decade it has become evident that microRNAs regulate gene expressions and control many developmental and cellular processes in eukaryotic organisms. Recent studies suggest that microRNAs play an important role in toxicogenomics and are likely to play an important role in a range of human diseases including cancer. microRNAs in Toxicology and Medicine is a comprehensive and authoritative compilation of up-to-date developments in this emerging research area, presented by internationally recognized investigators. It focuses on the role of microRNA in biology and medicine with a special emphasis on toxicology. Divided into six parts, topics covered include: microRNA and toxicology – including environmental toxicants and perturbation of miRNA signaling; microRNA, and Disease States featuring microRNAs in drug-induced liver toxicity, microRNAs and Inflammation the regulatory role of microRNA in mutagenesis, microRNAs and cancer, and the role of microRNAs in tumor progression and therapy, as well as current understanding of microRNAs as therapeutic targets in cancer microRNAs and disease states microRNAs and stem cells microRNAs and genomics microRNAs and epigenomics microRNAs and biomarkers – including body fluid microRNAs as toxicological biomarkers, cell-free microRNAs as biomarkers in human diseases, and circulating microRNAs as biomarkers of drug-induced pancreatitis microRNAs in Toxicology and Medicine is an essential insight into the current trends and future directions of research in this rapidly expanding field for investigators, toxicologists, risk assessors, and regulators in academia, medical settings, industry, and government.

Microorganisms are essential for the production of many foods, including cheese, yoghurt, and bread, but they can also cause spoilage and diseases. Quantitative Microbiology of Food Processing: Modeling the Microbial Ecology explores the effects of food processing techniques on these microorganisms, the microbial ecology of food, and the surrounding issues concerning contemporary food safety and stability. Whilst literature has been written on these separate topics, this book seamlessly integrates all these concepts in a unique and comprehensive guide. Each chapter includes background information regarding a specific unit operation, discussion of quantitative aspects, and examples of food processes in which the unit operation plays a major role in microbial safety. This is the perfect text for those seeking to understand the quantitative effects of unit operations and beyond on the fate of foodborne microorganisms in different foods. Quantitative Microbiology of Food Processing is an invaluable resource for students, scientists, and professionals of both food engineering and food microbiology.

A comprehensive and authoritative compilation of up-to-date developments in stem cell research and its use in toxicology and medicine Presented by internationally recognized investigators in this exciting field of scientific research Provides an insight into the current trends and future directions of research in this rapidly developing new field A valuable and excellent source of authoritative and up-to-date information for researchers, toxicologists, drug industry, risk assessors and regulators in academia, industry and government

A well-balanced and accessible introduction to the elementary quantitative methods and Microsoft® Office Excel® applications used to guide business decision making Featuring quantitative techniques essential for modeling modern business situations, Introduction to Quantitative Methods in Business: With Applications Using Microsoft® Office Excel® provides guidance to assessing real-world data sets using Excel. The book presents a balanced approach to the mathematical tools and techniques with applications used in the areas of business, finance, economics, marketing, and operations. The authors begin by establishing a solid foundation of basic mathematics and statistics before moving on to more advanced concepts. The first part of the book starts by developing basic quantitative techniques such as arithmetic operations, functions and graphs, and elementary differentiations (rates of change), and integration. After a review of these techniques, the second part details both linear and nonlinear models of business activity. Extensively classroom-tested, Introduction to Quantitative Methods in Business: With Applications Using Microsoft® Office Excel® also includes: Numerous examples and practice problems that emphasize real-world business quantitative techniques and applications Excel-based computer software routines that explore calculations for an assortment of tasks, including graphing, formula usage, solving equations, and data analysis End-of-chapter sections detailing the Excel applications and techniques used to address data and solutions using large data sets A companion website that includes chapter summaries, Excel data sets, sample exams and quizzes, lecture slides, and an Instructors’ Solutions Manual Introduction to Quantitative Methods in Business: With Applications Using Microsoft® Office Excel® is an excellent textbook for undergraduate-level courses on quantitative methods in business, economics, finance, marketing, operations, and statistics. The book is also an ideal reference for readers with little or no quantitative background who require a better understanding of basic mathematical and statistical concepts used in economics and business. Bharat Kolluri, Ph.D., is Professor of Economics in the Department of Economics, Finance, and Insurance at the University of Hartford. A member of the American Economics Association, his research interests include econometrics, business statistics, quantitative decision making, applied macroeconomics, applied microeconomics, and corporate finance. Michael J. Panik, Ph.D., is Professor Emeritus in the Department of Economics, Finance, and Insurance at the University of Hartford. He has served as a consultant to the Connecticut Department of Motor Vehicles as well as to a variety of health care organizations. In addition, Dr. Panik is the author of numerous books, including Growth Curve Modeling: Theory and Applications and Statistical Inference: A Short Course, both published by Wiley. Rao N. Singamsetti, Ph.D., is Associate Professor in the Department of Economics, Finance, and Insurance at the University of Hartford. A member of the American Economics Association, his research interests include the status of war on poverty in the United States since the 1960s and forecasting foreign exchange rates using econometric methods.

Each topic starts with an explanation of the theoretical background necessary to allow full understanding of the technique and to facilitate future learning of more advanced or new methods and software Explanations are designed to assume as little background in mathematics and statistical theory as possible, except that some knowledge of calculus is necessary for certain parts. SAS commands are provided for applying the methods. (PROC REG, PROC MIXED, and PROC GENMOD) All sections contain real life examples, mostly from epidemiologic research First chapter includes a SAS refresher

This book provides a thorough and up-to-date overview of the aryl hydrocarbon receptor (AHR) and its unique dual role in toxicology and biology. The coverage includes epigenetic mechanisms, gene expression, reproductive and developmental toxicity, signal transduction, and transgenic animal models. Featuring an internationally recognized team of authors at the forefront of AHR research, this resource provides a comprehensive reference for readers interested in understanding the full spectrum of AHR, from basic concepts, toxicology analysis, and models to polymorphism and related diseases.

In keeping with the outstanding importance of lipophilicity in biosciences, this volume examines all its facets in more than twenty contributions from leading experts. It offers a thorough and highly topical survey of this rapidly developing field of research. Color plates demonstrating structural aspects, a vast number of references, and the straightforward presentation of the material make this volume a invaluable tool for all researchers involved in drug design or in the investigation of drug action.

This book is the definitive and most comprehensive guide to modeling derivatives in C++ today. Providing readers with not only the theory and math behind the models, as well as the fundamental concepts of financial engineering, but also actual robust object-oriented C++ code, this is a practical introduction to the most important derivative models used in practice today, including equity (standard and exotics including barrier, lookback, and Asian) and fixed income (bonds, caps, swaptions, swaps, credit) derivatives. The book provides complete C++ implementations for many of the most important derivatives and interest rate pricing models used on Wall Street including Hull-White, BDT, CIR, HJM, and LIBOR Market Model. London illustrates the practical and efficient implementations of these models in real-world situations and discusses the mathematical underpinnings and derivation of the models in a detailed yet accessible manner illustrated by many examples with numerical data as well as real market data. A companion CD contains quantitative libraries, tools, applications, and resources that will be of value to those doing quantitative programming and analysis in C++. Filled with practical advice and helpful tools, Modeling Derivatives in C++ will help readers succeed in understanding and implementing C++ when modeling all types of derivatives.

A comprehensive analysis of state-of-the-art molecular modeling approaches and strategies applied to risk assessment for pharmaceutical and environmental chemicals This unique volume describes how the interaction of molecules with toxicologically relevant targets can be predicted using computer-based tools utilizing X-ray crystal structures or homology, receptor, pharmacophore, and quantitative structure activity relationship (QSAR) models of human proteins. It covers the in vitro models used, newer technologies, and regulatory aspects. The book offers a complete systems perspective to risk assessment prediction, discussing experimental and computational approaches in detail, with: * An introduction to toxicology methods and an explanation of computational methods * In-depth reviews of QSAR methods applied to enzymes, transporters, nuclear receptors, and ion channels * Sections on applying computers to toxicology assessment in the pharmaceutical industry and in the environmental arena * Chapters written by leading international experts * Figures that illustrate computational models and references for further information This is a key resource for toxicologists and scientists in the pharmaceutical industry and environmental sciences as well as researchers involved in ADMET, drug discovery, and technology and software development.

This book aims to fill the gap that exists between theoretical treatments of chromatography, and clinical chemistry and toxicology texts, which focus almost exclusively on clinical relevance and applications. Chromatography has a vast array of clinical applications, and though the chromatographic methods were first introduced decades ago, new applications of this technology are being used to explore previously inaccessible frontiers in clinical diagnostics and toxicological testing. An up-to-date book devoted to clinical and toxicological applications of chromatographic methods will serve as an instructional and reference text, useful to students, laboratory technicians, and researchers.