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Foreword.- Organic Pollutants in Aqueous-Solid Phase Environments: Types, Analysis and Characterizations.- Interaction Mechanisms Between Organic Pollutants and Solid Phase Systems.- Sorption/Desorption of Organic Pollutants from Complex Mixtures: Modeling, Kinetics, Experimental Techniques and Transport Parameters.- QSAR/QSPR and Multicomponent Joint Toxic Effect Modeling of Organic Pollutants at Aqueous-Solid Phase Interfaces.- Microbial Transformations at Aqueous-Solid Phase Interfaces: A Bioremediation Approach.- Subject Index
A step-by-step guide to using computational tools to solve problems in cell biology <p> Combining expert discussion with examples that can be reproduced by the reader, <i>A Cell Biologist's Guide to Modeling and Bioinformatics</i> introduces an array of informatics tools that are available for analyzing biological data and modeling cellular processes. You learn to fully leverage public databases and create your own computational models. All that you need is a working knowledge of algebra and cellular biology; the author provides all the other tools you need to understand the necessary statistical and mathematical methods. <p> Coverage is divided into two main categories: <ul> <li>Molecular sequence database chapters are dedicated to gaining an understanding of tools and strategies—including queries, alignment methods, and statistical significance measures—needed to improve searches for sequence similarity, protein families, and putative functional domains. Discussions of sequence alignments and biological database searching focus on publicly available resources used for background research and the characterization of novel gene products. <li>Modeling chapters take you through all the steps involved in creating a computational model for such basic research areas as cell cycle, calcium dynamics, and glycolysis. Each chapter introduces a new simulation tooland is based on published research. The combination creates a rich context for ongoing skill and knowledge development in modeling biological research systems. </ul> <p> Students and professional cell biologists can develop the basic skills needed to learn computational cell biology. This unique text, with its step-by-step instruction, enables you to test and develop your new bioinformatics and modeling skills. References are provided to help you take advantage of more advanced techniques, technologies, and training.
This comprehensive text presents cutting-edge advances in the theory and methodology of modeling and simulation (M&S) and reveals how this work has been influenced by the fundamental contributions of Prof. Tuncer Ã–ren to this field. Exploring the synergies among the domains of M&S and systems engineering (SE), the book describes how M&S and SE can help to address the complex problems identified as "Grand Challenges" more effectively under a model-driven and simulation-directed systems engineering framework. Features: examines frameworks for the development of advanced simulation methodologies; presents a focus on advanced modeling methodologies; reviews the reliability and quality assurance of models; discusses the specification and simulation of human and social behavior, including models of personality, emotions, conflict management, perception and anticipation; provides a survey of the body of knowledge in M&S; highlights the foundations established by the pioneering work of Prof. Tuncer Ã–ren.
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