الصفحة 165
الصفحة 165
Exoplanets : Detection, Formation, Properties, Habitability
This edited, multi-author volume will be an invaluable introduction and reference to all key aspects in the field of exoplanet research. The reviews cover: Detection methods and properties of known exoplanets, Detection of extrasolar planets by gravitational microlensing. The formation and evolution of terrestrial planets in protoplanetary and debris disks. The brown dwarf-exoplanet connection. Formation, migration mechanisms and properties of hot Jupiters. Dynamics of multiple exoplanet systems. Doppler exoplanet surveys. Searching for exoplanets in the stellar graveyard. Formation and habitability of extra solar planets in multiple star systems. Exoplanet habitats and the possibilities for life. Moons of exoplanets: habitats for life.
Exogenous and endogenous factors affecting happiness, happy mind, happy life
Emotions are the language of the soul. Our brain is the emotional center where every emotion is produced including happiness. Happiness underlying factors are considerable from two dimensions: endogenous factors and exogenous factors Therefore, this research aimed to consider biological factors that underlie happiness. The research is divided into several sub-groups (brain, genetics, neurotransmitters, endocrinology, hormones, drugs, diseases, and other exogenous factors). In spite of difficulties in finding special genes, several genes distributed to emotion and mood. Neuroscience studies showed that some part of brain (e.g. amygdala, hipocamp and limbic system) and neurotransmitters (e.g. dopamine, serotonin, norepinefrine and endorphin) play a role in control of happiness. A few studies pointed to the role of cortisol and adrenaline (adrenal gland) and oxitocin (pituitary gland) in controlling happiness.
Excimer Laser Technology
This comprehensive survey on Excimer Lasers investigates the current range of the technology, applications and devices of this commonly used laser source, as well as the future of new technologies, such as F2 laser technology. Additional chapters on optics, devices and laser systems complete this compact handbook. A must read for laser technology students, process application researchers, engineers or anyone interested in excimer laser technology. An effective and understandable introduction to the current and future status of excimer laser technology.
Excavations and Foundations in Soft Soils
The book is about soft soil engineering and is intended to serve the practicing as well as the research engineers. The planning, design and construction of exca- tions and foundations in soft to very soft soils is always a difficult and challanging assignment to engineers. The authors have tried to address some of these problems and challenges in this book. Beside the state of the art of soft soils, authors own research results and expe- ences from practical projects are presented in the book. Special emphasis is also given among others on the presentation of several case studies coresponding to each topic treated in the book as well as a summary of the experiences in the - termination of soil parameters for finite element analysis of geotechnical pr- lems. The book is illustrated by a wealth of photographs and diagrams.
E-Voting and Identity ; 1st International Conference, VOTE-ID 2007, Bochum, Germany, October 4-5, 2007, Revised Selected Papers
Voting and identity have a very delicate relationship. Only a few processes - pendso much on an identity management respecting the fine line between reliable identification and reliable non-identifiability each at its part during the process. And only a few processes may change their outer appearance so much with the advent of new IT as voting and identity management do. So it was no surprise in FIDIS, the interdisciplinary Network of Excellence working on the Future of Identity in the Information Society
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.
Evolutionary Microeconomics
Classical microeconomics is intended to explain how a price system is able to coordinate the economic agents. But even if it can be extended to incomplete information and externalities, it remains grounded on very heroic assumptions. Agents are endowed with a very strong rationality, equilibrium is stated without a concrete process to achieve it, market is the unique institution considered. Evolutionary microeconomics is aimed at bypassing these limitations by considering a dynamic approach, however not biologically oriented.
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 Epistemology, Language and Culture : A Non-Adaptationist, Systems Theoretical Approach
Today we know that natural selection and evolution are far from synonymous and that they do not explain isomorphic phenomena in the world. ‘Taking Darwin seriously’ is the way to go, but today the time has come to take alternative and complementary theories that developed after the Modern Synthesis, equally seriously, and, furthermore, to examine how language and culture can merit from these diverse disciplines.As this volume will make clear, a specific inter- and transdisciplinary approach is one of the next crucial steps that needs to be taken, if we ever want to unravel the secrets of phenomena such as language and culture.
Evolutionary Computer Music
The evolutionary computation approach to music is an exciting new development for composers and musicologists alike. For composers, it provides an innovative and natural means for generating musical ideas from a specifiable set of primitive components and processes. For musicologists, these techniques are used to model the cultural transmission and change of a population's body of musical ideas over time. In both cases, musical evolution can be guided by a variety of constraints and tendencies built into the system, such as realistic psychological factors that influence the way music is expressed, experienced, learned, stored, modified, and passed on among individuals. This book discusses not only the applications of evolutionary computation to music, but also the tools needed to create and study such systems. These tools are drawn in part from research into the origins and evolution of biological organisms, ecologies, and cultural systems on the one hand, and from computer simulation methodologies on the other. They can be combined to create surrogate artificial worlds populated by interacting simulated organisms in which complex musical experiments can be performed that would otherwise be impossible.
Evolutionary cell biology : The origins of cellular architecture
Establishes the foundations of the emerging field of evolutionary cell biology. Includes a wide range of comparative data and examples from both prokaryotes and eukaryotes, integrating such observations with biophysical/biochemical principles and evolutionary theory. Provides a deep and broad coverage of the literature, with many ideas synthesised and presented for the first time
Evolutionary Algorithms for Solving Multi-Objective Problems
This book for Solving Multi-Objective Problems, significantly augmented with contemporary knowledge and adapted for the classroom. All the various features of multi-objective evolutionary algorithms (MOEAs) are presented in an innovative and student-friendly fashion, incorporating state-of-the-art research results. The diversity of serial and parallel MOEA structures are given, evaluated and compared. The book provides detailed insight into the application of MOEA techniques to an array of practical problems. The assortment of test suites are discussed along with the variety of appropriate metrics and relevant statistical performance techniques.
Evolution of the Web in Artificial Intelligence Environments
The material in this book is designed to be drawn from different Web application areas so as to provide an overview of important contributions in the development of the Web applications. These are mainly in the areas of Web personalisation, semantic Web and Web services.
Evolution from Cellular to Social Scales
Evolution is a critical challenge for many areas of science, technology and development of society. The book reviews general evolutionary facts such as origin of life and evolution of the genome and clues to evolution through simple systems. Emerging areas of science such as "systems biology" and "bio-complexity" are founded on the idea that phenomena need to be understood in the context of highly interactive processes operating at different levels and on different scales. This is where physics meets complexity in nature, and where we must begin to learn about complexity if we are to understand it. Similarly, there is an increasingly urgent need to understand and predict the evolutionary behavior of highly interacting man-made systems, in areas such as communications and transport, which permeate the modern world. The same applies to the evolution of human networks such as social, political and financial systems, where technology has tended to vastly increase both the complexity and speed of interaction, which is sometimes effectively instantaneous.
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 Imaging : Optimizing Imaging in Patient Care
Evidence-Based Imaging: Optimizing Imaging for Patient Care presents the radiologist and clinician with a user-friendly guide to the evidence-based science and the merit behind the diagnostic imaging studies performed in medicine. The book provides a systematic framework for understanding the best imaging choices for patient care.
Evidence-based decision making in dentistry : Multidisciplinary management of the natural dentition
Covers all aspects of the evidence-based decision making process in multidisciplinary management of the natural dentition. Individual chapters focus specifically, and in detail, on endodontic, periodontal, and prosthetic considerations, identifying aspects that need to be integrated into decision making and treatment planning. Evidence-based decision making with regard to preservation of the natural tooth versus extraction and implant placement is then discussed, and a concluding chapter examines likely future trends in dentistry and how they may affect clinical decision making.
Everyday Innovators: Researching the Role of Users in Shaping ICTs
Everyday Innovators explores the active role of people, collectively and individually, in shaping the use of information and communication technologies. It examines issues around acquiring and using that knowledge of users, how we should conceptualise the role of users and understand the forms and limitations of their participation.
Event-Triggered and Time-Triggered Control Paradigms
Event-Triggered and Time-Triggered Control Paradigms presents a valuable survey about existing architectures for safety-critical applications and discusses the issues that must be considered when moving from a federated to an integrated architecture. The book focuses on one key topic--the amalgamation of the event-triggered and the time-triggered control paradigm into a coherent integrated architecture. The architecture provides for the integration of independent distributed application subsystems by introducing multi-criticality nodes and virtual networks of known temporal properties.
