Exploring roles critical to environmental toxicology, Modeling and Simulation in Ecotoxicology with Applications in MATLAB and Simulink covers the steps in modeling and simulation from problem conception to validation and simulation analysis. Using the MATLAB and Simulink programming languages, the book presents examples of mathematical functions a

Quantitative Ecotoxicology, Second Edition explores models and methods of quantitative ecotoxicology at progressively higher biological scales using worked examples and common software packages. It complements the author’s previous books, Fundamentals of Ecotoxicology, Third Edition and Ecotoxicology: A Comprehensive Treatment. Encouraging a more rigorous inferential approach to research, the book examines the quantitative features of the science of ecotoxicology. The first chapters lay the foundation by introducing fundamental concepts and definitions. The author traces the historical perspective, rationale, and characteristics of scientific ecotoxicology as well as the general measurement process. He also considers methodologies for defining and controlling variance, which could otherwise exclude valid conclusions from ecotoxicological endeavors. The book then discusses ecotoxicological concepts at increasing levels of ecological organization and outlines quantitative methods used to measure toxicant accumulation and effects. Reflecting the importance of establishing type I and type II error rates, it highlights design issues, particularly sample size and power estimation. The final chapter summarizes the book with a brief discussion of ecotoxicology from a nonregulatory perspective. Extensively updated, this second edition has been expanded to include terrestrial as well as aquatic ecotoxicology. Requiring only a basic knowledge of statistics, this highly readable book is suitable for graduate students and researchers as well as practicing environmental scientists and engineers. It guides readers to better understand the fate and effects of toxicants in the biosphere—and helps them frame this understanding in quantitative terms. What’s New in This Edition More than 40 new figures and 20 new worked examples Updated measurement quality methods and software Expanded coverage of synecological models and methods More integration of Bayesian concepts Appendices for power analysis and basic matrix methods Additional mixture toxicity and up-and-down methods Greatly expanded discussion of significance testing Expanded discussion of metapopulations Matrix tools for population demography Light isotope-based models for trophic transfer of toxicants Inclusion of metacommunity and SHE analysis techniques R script examples by Eduard Szöcs (University Koblenz-Landau) available at http://edild.github.io/blog/categories/quantitative-ecotoxicology-with-r/

Edited by experts at the leading edge of the development of causal assessment methods for more than two decades, Ecological Causal Assessment gives insight and expert guidance on how to identify cause-effect relationships in environmental systems. The book discusses the importance of asking the fundamental question "Why did this effect happen?" before moving on to "How can we fix it?" The book provides a deeper understanding of different philosophical and analytical approaches, and of cognitive tendencies that can lead to errors. It describes formal processes for causal assessment that are particularly helpful when the situation is complex or contentious. It also describes how to approach the analysis of available data and to optimize collection efforts. The text then details a transparent process that helps others replicate results and can be used to convince skeptics that the true cause has been identified. Several detailed case studies show how to apply the process to streams, watersheds, and a terrestrial wildlife population. Causal assessment is a challenging, but endlessly fascinating endeavor. Success requires the persistence to figure things out and solid strategies for using the information that you have and getting more of the right kind of information that you need. This book gives you just that: the skills, knowledge, and confidence needed to successfully unravel tough environmental problems and build the knowledge base for effective management solutions.

PID Control for Industrial Processes presents a clear, multidimensional representation of proportional - integral - derivative (PID) control for both students and specialists working in the area of PID control. It mainly focuses on the theory and application of PID control in industrial processes. It incorporates recent developments in PID control technology in industrial practice. Emphasis has been given to finding the best possible approach to develop a simple and optimal solution for industrial users. This book includes several chapters that cover a broad range of topics and priority has been given to subjects that cover real-world examples and case studies. The book is focused on approaches for controller tuning, i.e., method bases on open-loop plant tests and closed-loop experiments.

This volume explores the effects of aquatic contaminants on ecological subsidies and food web exposure at the boundary of aquatic and terrestrial ecosystems. It provides the first synthesis of the findings and principles governing the “dark side” of contaminant effects on ecological subsidies. Furthermore, the volume provides extensive coverage of the tools being developed to help managers and researchers better understand the implications of contaminants movement and their effects on natural resources and ecosystem processes. Aquatic and terrestrial ecosystems are linked through movements of energy and nutrients which subsidize recipient food webs. As a result, contaminants that concentrate in aquatic systems because of the effects of gravity on water and organic matter have the potential to impact both aquatic and terrestrial ecosystem processes. Within the last decade, increased attention has been paid to this phenomenon, particularly the effects of aquatic contaminants on resource and contaminant export to terrestrial consumers, and the potential implications for management. This volume, curated and edited by three field leaders, incorporates empirical results, management applications and theoretical synthesis and is a key reference for academics, government researchers and consultants.

With the rise of global competitiveness among industries, it has become increasingly vital to develop novel strategies to assist in optimizing value-chain networks, thus helping to secure economic success. By employing engineer-to-order practices, many enterprises have improved their manufacturing processes. Supply Chain Strategies and the Engineer-to-Order Approach evaluates innovative processes and original operational models, frameworks, and architectures in the topic areas of industrial engineering and management science. Featuring optimized enterprise chain management strategies and emergent research within the field, this book is an essential reference source for professional, academics, and researchers specializing in enterprise operations and engineer-to-order procedures.

The pursuit of financial well-being has become an increasingly complex challenge for individuals and societies alike. The subjective nature of financial well-being, shaped by diverse aspirations, values, and external circumstances, underscores the need for a nuanced exploration of the factors influencing it. In this context, the book Emerging Perspectives on Financial Well-Being takes center stage as a beacon of understanding, delving into the multifaceted dimensions of financial wellness. Within the pages of this volume, the critical issues surrounding financial well-being are dissected, addressing the need for financial education, disciplined management, and goal setting amidst an ever-changing economic backdrop. The book recognizes that sound financial decision-making is not only crucial for individual satisfaction but also carries far-reaching implications for the broader societal and organizational framework. As we navigate uncertain times, the importance of adequate financial knowledge and planning skills comes to the forefront. This book stands as a response to the complexities within the financial system, aiming to establish a structural determinants framework that broadens our comprehension of financial well-being. This book guides readers through the complexities of financial well-being. It offers valuable insights for academic scholars, researchers, and practitioners seeking to enhance their understanding and contribute to the ongoing discourse on achieving financial prosperity in today's dynamic world.

Not only do modeling and simulation help provide a better understanding of how real-world systems function, they also enable us to predict system behavior before a system is actually built and analyze systems accurately under varying operating conditions. Modeling and Simulation of Systems Using MATLAB® and Simulink® provides comprehensive, state-of-the-art coverage of all the important aspects of modeling and simulating both physical and conceptual systems. Various real-life examples show how simulation plays a key role in understanding real-world systems. The author also explains how to effectively use MATLAB and Simulink software to successfully apply the modeling and simulation techniques presented. After introducing the underlying philosophy of systems, the book offers step-by-step procedures for modeling different types of systems using modeling techniques, such as the graph-theoretic approach, interpretive structural modeling, and system dynamics modeling. It then explores how simulation evolved from pre-computer days into the current science of today. The text also presents modern soft computing techniques, including artificial neural networks, fuzzy systems, and genetic algorithms, for modeling and simulating complex and nonlinear systems. The final chapter addresses discrete systems modeling. Preparing both undergraduate and graduate students for advanced modeling and simulation courses, this text helps them carry out effective simulation studies. In addition, graduate students should be able to comprehend and conduct simulation research after completing this book.

Examining tissue residues of contaminants in biota reveals the movement of contaminants within organisms and through food chains as well as the context for understanding and quantifying injuries to organisms and their communities. Yet tissue concentrations of some contaminants are especially challenging to interpret and the ability of today’s analytical chemists to provide reliable analytical data of most important environmental contaminants often surpasses the ability of ecotoxicologists to interpret those data. Offering guidance on the ecotoxicologically meaningful interpretation of tissue concentrations, Environmental Contaminants in Biota, Interpreting Tissue Concentrations, Second Edition is updated with current data and new ways of analyzing those data as well as additional contaminants not previously considered. Beginning with a history of wildlife toxicology and data interpretation, chapters cover a wide range of contaminants and their hazardous and lethal concentrations in various animals including DDT, Dioxins, PCBs, and PBDEs in aquatic organisms; methylmurcury, selenium, and trace metals in fishes and aquatic invertebrates; and pharmaceuticals and organic contaminants in marine mammals. The book considers the impact of Polychlorinated Biphenyls, Dibenzo-p-Dioxins and Dibenzofurans, and Polybrominated Diphenyl Ethers; cyclodiene; and other organochlorine pesticides in birds and mammals. Later chapters examine the effects and analysis of lead, cadmium, and radionuclides in biota. With thousands of published research papers reporting tissue concentrations each year, Environmental Contaminants in Biota, Interpreting Tissue Concentrations, Second Edition gives ecotoxicologists the ability to draw actionable value regarding the toxicological consequences of those concentrations and relate tissue concentrations quantitatively to injury: the core of ecotoxicology.

Practical statistics is a powerful tool used frequently by agricultural researchers and graduate students involved in investigating experimental design and analysis. One of the most widely used statistical analysis software packages for this purpose is Stata. The Stata software program has matured into a user-friendly environment with a wide variet