الصفحة 43
الصفحة 43
Exercises in Environmental Physics
Exercises in Environmental Physics covers the essential topics in university courses in environmental physics including: Energy and the environment / Fluid mechanics / Evapotranspiration, soil physics and groundwater hydrology / Pollution / Ocean and atmospheric physics / The planet in space This is the first book specifically devoted to exercises on the application of physics to describe the environment including the human impact. It is a valuable tool for students to develop skills in the manipulation of physical concepts and methods while learning environmental science. The exercises are drawn from the author's teaching experience and the need for stimulating practice problems in various environmental physics courses. A chapter on mathematical methods used in the book supplements the material.
Evolving methods for macromolecular crystallography : The structural path to the understanding of the mechanism of action of CBRN agents
This volume comprises papers presented at the 2005 edition of the “Crystallography of Molecular Biology” courses that have been held since 1976 at the Ettore Majorana Centre for Scientific Culture in Erice, Italy. The papers span the breadth of material presented in the course, which emphasized the practical aspects of modern macromolecular crystallography and its applications.
Evolving Connectionist Systems : The Knowledge Engineering Approach
Evolving Connectionist Systems is aimed at all those interested in developing and using intelligent computational models and systems to solve challenging real world problems in computer science, engineering, bioinformatics and neuroinformatics. The book challenges scientists and practitioners with open questions about future creation of new information models inspired by Nature. This edition includes new methods for adaptive, knowledge-based learning, such as online incremental feature selection, spiking neural networks, transductive neuro-fuzzy inference, adaptive data and model integration, cellular automata and artificial life systems, particle swarm optimisation, ensembles of evolving systems, and quantum inspired neural networks. New applications to gene and protein interaction modelling, brain data analysis and brain model creation, computational neuro-genetic modelling, adaptive speech, image and multimodal recognition, language modelling, adaptive robotics, modelling dynamic financial and socio-economic systems, and ecological modelling, are covered. An important new feature of the book is the attempt to connect different structural and functional levels of a complex, intelligent system, looking for inspiration from functional relationships in natural systems, such as the genetic and the brain activity.
Evolvable Machines : Theory & Practice
Methods for the artificial evolution of active components, such as programs and hardware, are rapidly developing branches of adaptive computation and adaptive engineering. "Evolvable Machines" reports innovative and significant progress in automatic and evolutionary methodology applied to machine design. This book presents theoretical as well as practical chapters concentrating on Evolvable Robots, Evolvable Hardware Synthesis, as well as Evolvable Design.
Evolutionary Multi-Criterion Optimization ; 4th International Conference, EMO 2007, Matsushima, Japan, March 5-8, 2007, Proceedings
Multicriterion optimization refers to problems with two or more objectives (normally in conflict with each other) which must be simultaneously satisfied. Evolutionary algorithms have been used for solving multicriterion optimization problems for over two decades, gaining an increasing attention from industry. This book included four keynote speakers: Hirotaka Nakayama on aspiration level methods, Kay Chen Tan on large and computationally intensive real-world MO optimization problems, Carlos Fonseca on decision making, and Gary B. Lamont on design of large-scale network centric systems.
Evolutionary Intelligence : An introduction to theory and applications with Matlab
This book gives a good introduction to evolutionary computation for those who are first entering the field and are looking for insight into the underlying mechanisms behind them. Emphasizing the scientific and machine learning applications of genetic algorithms instead of applications to optimization and engineering, the book could serve well in an actual course on adaptive algorithms.
Evolutionary Genomics : Statistical and Computational Methods
This book addresses the challenge of analyzing and understanding the evolutionary dynamics of complex biological systems at the genomic level, and elaborates on some promising strategies that would bring us closer to uncovering of the vital relationships between genotype and phenotype. After a few educational primers, the book continues with sections on sequence homology and alignment, phylogenetic methods to study genome evolution, methodologies for evaluating selective pressures on genomic sequences as well as genomic evolution in light of protein domain architecture and transposable elements, population genomics and other omics, and discussions of current bottlenecks in handling and analyzing genomic data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and expert implementation advice that lead to the best results.
Evolutionary Equations : Picard's Theorem for Partial Differential Equations, and Applications
This book provides a solution theory for time-dependent partial differential equations, which classically have not been accessible by a unified method. Instead of using sophisticated techniques and methods, the approach is elementary in the sense that only Hilbert space methods and some basic theory of complex analysis are required. Nevertheless, key properties of solutions can be recovered in an elegant manner.
Evolutionary computation, machine learning and data mining in bioinformatics ; 6th European Conference, EvoBIO 2008, Naples, Italy, March 26-28, 2008. Proceedings
The feld of bioinformatics has two main objectives: the creation and main- nance of biological databases, and the discovery of knowledge from life sciences data in order to unravel the mysteries of biological function, leading to new drugs and therapies for human disease. Life sciences data come in the form of biological sequences, structures, pathways, or literature. One major aspect of discovering biological knowledge is to search, predict, or model specifc infortioninagivendatasetinorderto generate new in teresting knowledge.Computer science methods such as evolutionary computation, machine learning, and data mining all have a great deal to ofer the feld of bioinformatics.
Evolutionary Computation in Dynamic and Uncertain Environments
This book provides a compilation on the state-of-the-art and recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The motivation for this book arises from the fact that some degree of uncertainty in characterizing any realistic engineering systems is inevitable. Representative methods for addressing major sources of uncertainties in evolutionary computation, including handle of noisy fitness functions, use of approximate fitness functions, search for robust solutions, and tracking moving optimums, are presented. "Evolutionary Computation in Dynamic and Uncertain Environments" is a valuable reference for scientists, researchers, professionals and students in the field of engineering and science, particularly in the areas of computational intelligence, natural computing and evolutionary computation.
Evolutionary Computation for Modeling and Optimization
Evolutionary Computation for Optimization and Modeling is an introduction to evolutionary computation, a field which includes genetic algorithms, evolutionary programming, evolution strategies, and genetic programming. The text is a survey of some application of evolutionary algorithms. It introduces mutation, crossover, design issues of selection and replacement methods, the issue of populations size, and the question of design of the fitness function. It also includes a methodological material on efficient implementation. Some of the other topics in this book include the design of simple evolutionary algorithms, applications to several types of optimization, evolutionary robotics, simple evolutionary neural computation, and several types of automatic programming including genetic programming. The book gives applications to biology and bioinformatics and introduces a number of tools that can be used in biological modeling, including evolutionary game theory. Advanced techniques such as cellular encoding, grammar based encoding, and graph based evolutionary algorithms are also covered.
Evidence-Based Medicine : How to Practice and Teach EBM
An evidence-based approach to dietary and lifestyle medicine is taken. An approach known as “epidemiology-based health promotion,” which compiles and presents available evidence that could help physicians, other healthcare professionals and members of the general public make wiser decision about healthcare, is also explored.
Evidence-Based Caries Prevention
Aims to define the etiological factors in dental caries and to guide the clinician towards methods of caries prevention that are evidence based. The coverage includes discussion of the active role of the biofilm and the oral environment and emphasizes the multifactorial etiology of dental caries.
Evidence Use in Health Policy Making : An International Public Policy Perspective
Provides a set of conceptual, empirical, and comparative chapters that apply a public policy perspective to investigate the political and institutional factors driving the use of evidence to inform health policy in low, middle, and high income settings. The work presents key findings from the Getting Research Into Policy (GRIP-Health) project: a five year, six country, programme of work supported by the European Research Council. The chapters further our understanding of evidence utilisation in health policymaking through the application of theories and methods from the policy sciences. They present new insights into the roles and importance of factors such as issue contestation, institutional arrangements, logics of appropriateness, and donor influence to explore individual cases and comparative experiences in the use of evidence to inform health policy.
Evaporites : Sediments, Resources and Hydrocarbons
The monograph offers a comprehensive discussion of the role of evaporites in hydrocarbon generation and trapping. For the first time, diverse knowledge on exploitable salts has been assembled and organized, along with a summary of evaporate karst hazards as well as a summary of exploitative methods and pitfalls in dealing with evaporites in conventional and solution mining. Written by a field specialist in research and exploration, the book presents a comprehensive synthesis of the low temperature realm of evaporite evolution. It is aimed for earth science professionals, sedimentologists, oil and gas explorers, mining geologists, as well as environmental geologists.
Evaluation Methods in Biomedical Informatics
This book is a general reference designed for individuals from a broad range of professional backgrounds at various stages of learning about medical information systemsIt attempts to explain why medical information resources should be studied, and why this is a challenging process. It explores the options for conducting such studies, and specifically deciding what topic to study. It also explains how to design, carry out, and interpret a study using a particular set of techniques, how to conduct studies in the context of health care organizations, and how to communicate study designs and study results to the proper audience.
Evaluating the organizational impact of health care information systems
Evaluating the Organizational Impact of Health Care Information Systems, Second Edition, is heavily updated and revised from its First Edition, which is entitled Evaluating Health Care Information Systems: Methods and Applications. The much-needed Second Edition is a guide for evaluating the organizational impacts of computer systems in health care institutions. It provides a practical guide for determining the appropriate questions to ask based on underlying models of change and the most effective methods available. An introduction to various methods is provided, as well as appendices containing survey instruments usable in research and evaluation, computer programs for data analyses, and other evaluation resources. The book provides a critical overview of current research and evaluation to date with numerous bibliographic references from health care and other fields. The methods and instruments described are applicable to a wide variety of other organizations that utilize information technology and they emphasize the importance of clearly specifying the purpose of the evaluation, recognizing assumptions about organizational change and using a multi-method approach to system evaluation. The material presented is drawn from a variety of social and health science disciplines in order to integrate the study of information system with social science theory and methods. Chapter highlights include Cognitive Approaches to Evaluation, Computer Simulation as an Evaluation Tool, and Research and Evaluation: Future Directions.
Evaluating the Employment Effects of Job Creation Schemes in Germany
This book analyses the employment effects of job creation schemes for the participating individuals in Germany. Programmes provide subsidised jobs that are additional in nature and of value for society to hard-to-place individuals. International evidence on the effectiveness suggests that programmes should be targeted to the needs of the unemployed and should be offered early in the unemployment spell. Both questions are studied for job creation schemes in Germany. In the empirical analysis, propensity score matching methods extended to the dynamic setting are applied to administrative data of the Federal Employment Agency.
Evaluating Feynman Integrals
The problem of evaluating Feynman integrals over loop momenta has existed from the early days of perturbative quantum field theory. Although a great variety of methods for evaluating Feynman integrals has been developed over a span of more than fifty years, this book is a first attempt to summarize them. 'Evaluating Feynman Integrals' characterizes the most powerful methods, in particular those used for recent, quite sophisticated calculations, and then illustrates them with numerous examples, starting from very simple ones and progressing to nontrivial examples.
Evaluating evidence of mechanisms in medicine : Principles and procedures
This book is the first to develop explicit methods for evaluating evidence of mechanisms in the field of medicine. It explains why it can be important to make this evidence explicit, and describes how to take such evidence into account in the evidence appraisal process. In addition, it develops procedures for seeking evidence of mechanisms, for evaluating evidence of mechanisms, and for combining this evaluation with evidence of association in order to yield an overall assessment of effectiveness.
