Page 4
Page 4
Infectious disease : A very short introduction
Provides a conceptual framework for thinking about disease. Ecology and evolution provide the keys to answering the ‘where’ / ‘why’ / ‘how’ / and ‘what’ questions about any particular infectious disease: where did it come from? How is it transmitted from one person to another / and why are some individuals more susceptible than others? What biochemical / ecological / and evolutionary strategies can be used to combat the disease? Is it more effective to block transmission at the population level / or to block infection at the individual level? Through a series of case studies / Benjamin Bolker and Marta L. Wayne introduce the major ideas of infectious disease in a clear and thoughtful way / emphasizing the general principles of infection / the management of outbreaks / and the evolutionary and ecological approaches that are now central to much research about infectious disease.
Inevitable Aging? : Contributions to Evolutionary-Demographic Theory
Aging is inevitable: this is gerontological dogma. And humans do inevitably grow old, which is probably why it seems so unlikely to us that other forms of life could escape aging. Escaping aging is not escaping death. Death is an inherent part of life, and it can strike any time. But the question is whether death necessarily becomes more likely as life proceeds. And it does not. The theoretical results in this monograph indicate that life provides alternative strategies. While some organisms will deteriorate over adult ages, for others mortality appears to fall or remain constant, at least over an extended period of life after reproductive maturity. This is empirically observed especially for species that keep on growing during adult ages. Perhaps the diversity of aging matches the diversity of life. My thesis, the central insight of this monograph, is: to deeply understand why some species age it is necessary to understand why other species do not.
Hybrid metaheuristics ; Vol. 4030 ; 3rd International Workshop, HM 2006, Gran Canaria, Spain, October 13-14, 2006, Proceedings
The selection of papers for HM 2006 consolidated some of the mainstream issues that have emerged from the past editions. Firstly, there are prominent examples of e?ective hybrid techniques whose design and implementation were motivated by challenging real-world applications. We believe this is particularly important for two reasons: on the one hand, researchers are conscious that the primary goal of developing algorithms is to solve relevant real-life problems; on the other hand, the path towarde?cient solving methods for practical problems is a source of new outstanding ideas and theories. A second important issue is that the research community on metaheur- tics has become increasingly interested in and open to techniques and methods known from arti?cial intelligence (AI) and operations research (OR). So far, the most representative examples of such integration have been the use of AI/OR techniques as subordinates of metaheuristic methods. As a historical and - ymological note, this is in perfect accordance with the original meaning of a metaheuristic as a “general strategy controlling a subordinate heuristic. ” The awareness of the need for a sound experimental methodology is a third keypoint.
Hybrid metaheuristics ; Vol. 3636 ; 2nd International Workshop, HM 2005, Barcelona, Spain, August 29-30, 2005. Proceedings
Constitutes the refereed proceedings of the Second International Workshop on Hybrid Metaheuristics, HM 2005, held in Barcelona, Spain, in August 2005. In this book, the papers addresses topics such as: low-level hybridization, high-level hybridization, portfolio techniques, expert systems, co-operative search, taxonomy, terminology, and more.
Hybrid metaheuristics ; 4th International Workshop,HM 2007, Dortmund, Germany, October 8-9, 2007, Proceedings
This book constitutes the refereed proceedings of the 4th International Workshop on Hybrid Metaheuristics, HM 2007, held in Dortmund, Germany. The 14 revised full papers discuss specific aspects of hybridization of metaheuristics, hybrid metaheuristics design, development and testing.
Hybrid metaheuristics : An emerging approach to optimization
The book is intended both to provide an overview of hybrid metaheuristics to novices of the field, and to provide researchers from the field with a collection of some of the most interesting recent developments.
Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing : An Evolutionary Approach for Neural Networks and Fuzzy Systems
This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition problems.
Hybrid Evolutionary Algorithms
Hybridization of evolutionary algorithms is getting popular due to their capabilities in handling several real world problems involving complexity, noisy environment, imprecision, uncertainty and vagueness. This edited volume is targeted to present the latest state-of-the-art methodologies in ’Hybrid Evolutionary Algorithms’. This book deals with the theoretical and methodological aspects, as well as various applications to many real world problems from science, technology, business or commerce. This volume comprises of 14 chapters including an introductory chapter giving the fundamental definitions and some important research challenges. Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.
Human origins and environmental backgrounds
Human Origins and Environmental Backgrounds is a benchmark compendium of research that presents itself at a major paradigm shift in paleoanthropology. The editors offer a variety of theoretical approaches to puzzles on the place of the Hominidae, particularly Homo sapiens, among the Primates, including our unique bipedal positional behavior and social structure and the selective factors that might have been involved in our evolution in the broad context of Miocene and later environments. The contributors represent several generations of pioneering laboratory and field researchers from Japan, France and the United States, who have worked together over the past 40 years and who have trained future leaders in evolutionary anthropology and experimental primatology. This volume, compiled by the leading experts in the field, explores the interface between hominid origins and palaeoenvironments.
High-Resolution Approaches in Stratigraphic Paleontology
This volume delves into a spectrum of theoretical as well as applied aspects of high-resolution stratigraphic approaches in paleontology. It explores how increasingly detailed knowledge of the fossil record can enhance our understanding of the evolution of life on Earth and also allows geoscientists to address a broad range of important evolutionary and environmental questions in this arena.
High performance computing - HiPC 2004 ; 11th International Conference, Bangalore, India, December 19-22, 2004, Proceedings
Keynote Addresses.- Rethinking Computer Architecture Research.- Event Servers for Crisis Management.- DIET: Building Problem Solving Environments for the Grid.- The Future Evolution of High-Performance Microprocessors.- Low Power Robust Computing.- Networks and Games.- Plenary Session - Best Papers.- An Incentive Driven Lookup Protocol for Chord-Based Peer-to-Peer (P2P) Networks.- A Novel Battery Aware MAC Protocol for Ad Hoc Wireless Networks, and other
Hierarchical Bayesian Optimization Algorithm : Toward a New Generation of Evolutionary Algorithms
This book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms with state-of-the-art machine learning techniques. The book focuses on two algorithms that replace traditional variation operators of evolutionary algorithms by learning and sampling Bayesian networks: the Bayesian optimization algorithm (BOA) and the hierarchical BOA (hBOA). BOA and hBOA are theoretically and empirically shown to provide robust and scalable solution for broad classes of nearly decomposable and hierarchical problems. A theoretical model is developed that estimates the scalability and adequate parameter settings for BOA and hBOA. The performance of BOA and hBOA is analyzed on a number of artificial problems of bounded difficulty designed to test BOA and hBOA on the boundary of their design envelope.
Hearing and Sound Communication in Amphibians
Hearing and Sound Communication in Amphibians is a compendium of the latest research on acoustic communication in these highly vocal vertebrates. The chapters are written by experts currently investigating the physiology and behavior of amphibians both in the laboratory and in the field. This integrated approach guides each chapter and provides a neuroethologically-driven and evolutionary basis for our understanding of acoustic communication and its underlying mechanisms. The intended audience ranges from senior undergraduates to physiologists, zoologists, evolutionary biologists and communication specialists.
Grassroots Politics and Oil Culture in Venezuela : The Revolutionary Petro-State
This book presents an ethnographic study of how grassroots activism in Venezuela during the Chávez presidency can be understood in relation to the country's history as a petro-state. Taking the contested relationship between the popular sectors and the Venezuelan state as a point of departure, Iselin Åsedotter Strønen explores how notions such as class, race, state, bureaucracy, popular politics, capitalism, neoliberalism, consumption, oil wealth, and corruption gained salience in the Bolivarian process. A central argument is that the Bolivarian process was an attempt to challenge the practices, ideas, and values inherited from Venezuela's historical development as an oil-producing state.
Global optimization ; Vol. 85 : Scientific and engineering case studies
Optimization models based on a nonlinear systems description often possess multiple local optima. The objective of global optimization (GO) is to find the best possible solution of multiextremal problems. Global Optimization: Selected Case Studies illustrates the applicability of GO modeling techniques and solution strategies to real-world problems.The contributed chapters cover a broad range of applications from agroecosystem management, assembly line design, bioinformatics, biophysics, black box systems optimization, cellular mobile network design, chemical process optimization, chemical product design, composite structure design, computational modeling of atomic and molecular structures, controller design for induction motors, electrical engineering design, feeding strategies in animal husbandry, the inverse position problem in kinematics, laser design, learning in neural nets, mechanical engineering design, numerical solution of equations, radiotherapy planning, robot design, and satellite data analysis. The solution strategies discussed encompass a range of practically viable methods, including both theoretically rigorous and heuristic approaches.
Genomics of Tropical Crop Plants
Genomics of Tropical Crop Plants summarizes recent progress on genomic research, including the development of molecular markers, genomic and cDNA libraries, expressed sequence tags (ESTs), genetic and physical maps, gene expression profiles, and whole genome sequences for 20 tropical crop plants. It offers background information about the evolutionary origin and environments of tropical crop species, international programs that are addressing the needs of tropical agriculture, and the potential for new technologies to increase the productivity and value of tropical crops. This book provides new dimensions to growing information concerning temperate crops and their morphology, physiology, and parallel evolution in diverse plant lineages.
Genomic intelligence : Metagenomics and artificial intelligence
The field of metagenomics has revolutionized our comprehension of microbial diversity and function across various habitats, from the human body to terrestrial and aquatic environments. Simultaneously, advancements in AI have empowered researchers to analyze vast troves of genomic data with unprecedented speed and precision, facilitating new insights into the complex interplay between microorganisms and their surroundings. Provides an overview of metagenomics and discusses the combination of metagenomics and AI and its significant consequences for advancements in science. The chapters examine the approaches, difficulties, and revolutionary uses of AI in metagenomics and provide insight into the convergence of genomics, metagenomics, and AI’s potential to revolutionize diverse fields from healthcare to environmental.
Genome Editing : Gene Therapy or Gene Optimization?
Genome editing technology is considered one of the most revolutionary techniques lately. The ability of modifying the human genome has been one of the biggest dreams for therapist for the reason that the genetic modification with exogenous DNA can be considered a problem solver for many diseases and disorders (genetic disorders), especially those with high risks and low survival rates, on this case, gene therapy appears as the tool to be used, with its many protocols and approaches. Gene therapy is based on delivering a therapeutic gene throw suitable vectors, which is most of the time-modified viruses to carry the therapeutic genes to the target cells and so on providing the functional copy of the defective gene.
Genetics of Adaptation
What is the genetic basis of adaptive evolution? In this volume, a new generation of biologists have taken up this challenge. Using advances in both molecular genetic and statistical techniques, evolutionary geneticists have made considerable progress in this emerging field. In this volume, a diversity of examples from plant and animal studies provides valuable information for those interested in the genetics and evolution of complex traits.
Genetic Systems Programming : Theory and Experiences
This book is devoted to reporting innovative and significant progress about the contribution of genetic programming in systems programming. The contributions of this book clearly demonstrate that genetic programming is very effective in solving hard and yet-open problems in systems programming. Followed by an introductory chapter, in the remaining contributed chapters, the reader can easily learn about systems where genetic programming can be applied successfully. These include but are not limited to, information security systems, compilers, data mining systems, stock market prediction systems, robots and automatic programming.
