الصفحة 10
الصفحة 10
Neuroblastoma
Neuroblastoma is a medical enigma. As a childhood neoplasm arising from neural crest cells, it is characterized by diverse clinical behaviors ranging from spontaneous remission to rapid tumor progression and death. Although clinical outcome can be predicted to a large extent by the stage of disease and the age at diagnosis, an in-depth understanding of its clinico-pathological behavior, now greatly aided by sophisticated molecular genetic profiling, will improve diagnostic precision and refine risk-based therapies. Comprehensive international efforts have advanced our understanding of tumor biology and improved the clinical management of children with neuroblastoma. This book reviews our current understanding of the genes and biological pathways that contribute to neuroblastoma pathogenesis, modern risk-based treatment approaches for these patients, and recent advances in biologically based therapy. It provides a concise up-to-date reference for practitioners, students, and researchers.
Neuroanatomical Tract-Tracing : Molecules, Neurons, and Systems
"The content of the book also serves to emphasize that neuroanatomy is, perhaps more than ever, a thriving and important part of the neurosciences...Most contributions have in common the combination of modern tract-tracing methods with other means of characterizing neural tissue, and thus the book also serves to highlight the gradual disappearance of borders between traditional neuroanatomy and other approaches to the study of the nervous system...this book should continue to be a useful source of information, and deserves to be available in all laboratories applying or considering to apply neuroanatomical methods."
Neuroactive Steroids in Brain Function, Behavior and Neuropsychiatric Disorders : Novel Strategies for Research and Treatment
Over the past few decades the involvement of neurosteroids in brain function and mental health has attracted much interest, not only from a neuroscience perspective, but also from clinical and therapeutic aspects. In recent years, much of the research has focused on the multifunctional position of neurosteroids in the nervous system. The areas that have been explored, in particular, are the cellular and molecular mechanisms involved in the activity of neurosteroids in the brain, the role of neurosteroids in brain development, neurodegeneration and neuroplasticity, and their pharmacological properties. The large increase in the number of publications highlights this amplified interest in neurosteroids. Over the last 7 years at least 400 papers have been published describing the putative role of neurosteroids in the modulation of basic brain function and in the etiology and treatment of psychiatric and neurological disorders.
Neuroacanthocytosis Syndromes II
Awareness of neuroacanthocytosis disorders has increased significantly in recent years. There have been a number of important developments in the field since the publication of the first volume, Neuroacanthocytosis Syndromes. This book contains the latest research in this area. Recent advances have identified the range of mutations in the causative genes, shedding light on potential phenotypegenotype correlations. Studies of the proteins affected in these disorders have resulted in increased understanding of their functions and distribution. In vitro studies have identified potential protein interactions, which have important implications for pathophysiology. Work on erythrocyte membranes suggests mechanisms for the generation of acanthocytes. Animal models are being generated which will greatly facilitate understanding the role of gene mutations in humans, and provide the foundation for possible therapeutic interventions. In addition, advances in other neurodegenerative disorders, such as Huntington’s and Parkinson’s diseases, have implications for neuroacanthocytosis.
Neural Preprocessing and Control of Reactive Walking Machines: Towards Versatile Artificial Perception-Action Systems
This book presents biologically inspired walking machines interacting with their physical environment. It describes how the designs of the morphology and the behavior control of walking machines can benefit from biological studies. The purpose of this book is to develop a modular structure of neural control generating different reactive behaviors of the physical walking machines, to analyze the neural mechanisms underlying the reactive behaviors, and to demonstrate the sensor fusion technique leading to smooth switching between appropriate behaviors, like obstacle avoidance and sound tropism.
Neural Networks in a Softcomputing Framework
This concise but comprehensive textbook provides a powerful and universal paradigm for information processing. Each chapter provides state-of-the-art descriptions of the important major research results of the respective neural-network methods. A range of relevant computational intelligence topics, such as fuzzy logic and evolutionary algorithms, are introduced. These are powerful tools for neural-network learning. Array signal processing problems are discussed in order to illustrate the applications of each neural-network model.
Neural Networks and Sea Time Series : Reconstruction and Extreme-Event Analysis
This book, a careful blend of theory and applications, is an excellent introduction to the use of ANN, which may encourage readers to try analogous approaches in other important application areas. Researchers, practitioners, and advanced graduate students in neural networks, hydraulic and marine engineering, prediction theory, and data analysis will benefit from the results and novel ideas presented in this useful resource.
Neural networks and deep learning
Covers both classical and modern models in deep learning. The primary focus is on the theory and algorithms of deep learning. The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications. Why do neural networks work? When do they work better than off-the-shelf machine-learning models? When is depth useful? Why is training neural networks so hard? What are the pitfalls? The book is also rich in discussing different applications in order to give the practitioner a flavor of how neural architectures are designed for different types of problems.
Neural Networks : Methodology and Applications
Neural networks represent a powerful data processing technique that has reached maturity and broad application. When clearly understood and appropriately used, they are a mandatory component in the toolbox of any engineer who wants make the best use of the available data, in order to build models, make predictions, mine data, recognize shapes or signals, etc. Ranging from theoretical foundations to real-life applications, this book is intended to provide engineers and researchers with clear methodologies for taking advantage of neural networks in industrial, financial or banking applications, many instances of which are presented in the book. For the benefit of readers wishing to gain deeper knowledge of the topics, the book features appendices that provide theoretical details for greater insight, and algorithmic details for efficient programming and implementation. The chapters have been written by experts ands seemlessly edited to present a coherent and comprehensive, yet not redundant, practically-oriented introduction.
Neural Networks : Computational Models and Applications
Neural Networks: Computational Models and Applications covers a wealth of important theoretical and practical issues in neural networks, including the learning algorithms of feed-forward neural networks, various dynamical properties of recurrent neural networks, winner-take-all networks and their applications in broad manifolds of computational intelligence: pattern recognition, uniform approximation, constrained optimization, NP-hard problems, and image segmentation. By presenting various computational models, this book is developed to provide readers with a quick but insightful understanding of the broad and rapidly growing areas in the neural networks domain. Besides laying down fundamentals on artificial neural networks, this book also studies biologically inspired neural networks. Some typical computational models are discussed, and subsequently applied to objection recognition, scene analysis and associative memory. The studies of bio-inspired models have important implications in computer vision and robotic navigation, as well as new efficient algorithms for image analysis.
Neural Information Processing ; Vol. 4234 ; 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part III
This book and its companion volumes constitute the Proceedings of the 13th - ternationalConferenceonNeuralInformationProcessing(ICONIP2006)heldin Hong Kong during October 3–6,2006. ICONIP is the annual ?agship conference oftheAsiaPaci?cNeuralNetworkAssembly(APNNA)withthepasteventsheld in Seoul (1994), Beijing (1995), Hong Kong (1996), Dunedin (1997), Kitakyushu (1998), Perth(1999), Taejon(2000), Shanghai(2001), Singapore(2002), Istanbul (2003), Calcutta(2004), andTaipei(2005). Overtheyears, ICONIPhasmatured into a well-established series of international conference on neural information processing and related ?elds in the Asia and Paci?cregions. Following the tra- tion, ICONIP 2006 provided an academic forum for the participants to diss- inate their new research ?ndings and discuss emerging areas of research.
Neural Information Processing ; Vol. 4233 ; 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part II
The three volume set LNCS 4232, LNCS 4233, and LNCS 4234 constitutes the refereed proceedings of the 13th International Conference on Neural Information Processing, ICONIP 2006, held in Hong Kong, China in October 2006. The 386 revised full papers presented were carefully reviewed and selected from 1175 submissions.
Neural Information Processing ; Vol. 4232 ; 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I
This book and its companion volumes constitute the Proceedings of the 13th - ternationalConferenceonNeuralInformationProcessing(ICONIP2006)heldin Hong Kong during October 3–6,2006. ICONIP is the annual ?agship conference oftheAsiaPaci?cNeuralNetworkAssembly(APNNA)withthepasteventsheld in Seoul (1994), Beijing (1995), Hong Kong (1996), Dunedin (1997), Kitakyushu (1998), Perth(1999), Taejon(2000), Shanghai(2001), Singapore(2002), Istanbul (2003), Calcutta(2004), andTaipei(2005). Overtheyears, ICONIPhasmatured into a well-established series of international conference on neural information processing and related ?elds in the Asia and Paci?cregions. Following the tra- tion, ICONIP 2006 provided an academic forum for the participants to diss- inate their new research ?ndings and discuss emerging areas of research.
Neural Information Processing ; 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part II
The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. The 116 papers of the first volume are organized in topical sections on computational neuroscience, learning and memory, neural network models ,supervised /unsupervised/reinforcement learning, statistical learning algorithms, optimization algorithms, novel algorithms, as well as motor control and vision. The second volume contains 112 contributions related to statistical and pattern recognition algorithms, neuromorphic hardware and implementations, robotics, data mining and knowledge discovery, real world applications, cognitive and hybrid intelligent systems, bioinformatics, neuroinformatics, brain-conputer interfaces, and novel approaches.
Neural Information Processing ; 14th International Conference, ICONIP 2007, Kitakyushu, Japan, November 13-16, 2007, Revised Selected Papers, Part I
The 228 revised full papers presented were carefully reviewed and selected from numerous ordinary paper submissions and 15 special organized sessions. The 116 papers of the first volume are organized in topical sections on computational neuroscience, learning and memory, neural network models, supervised/unsupervised/reinforcement learning, statistical learning algorithms, optimization algorithms, novel algorithms, as well as motor control and vision. The second volume contains 112 contributions related to statistical and pattern recognition algorithms, neuromorphic hardware and implementations, robotics, data mining and knowledge discovery, real world applications, cognitive and hybrid intelligent systems, bioinformatics, neuroinformatics, brain-conputer interfaces, and novel approaches.
Neural Crest Induction and Differentiation
Neural Crest Induction and Differentiation, written by an international panel of recognized leaders in the field, discusses all aspects of modern neural crest biology from its evolutionary significance, to its specification, migration, plasticity and contribution to multiple lineages of the vertebrate body, to the pathologies associated with abnormal neural crest development and function. Each chapter provides an invaluable resource for information on the most current advances in the field, with discussion of controversial issues and areas of emerging importance.
Neural and Neuroendocrine Mechanisms in Host Defense and Autoimmunity
This comprehensive volume, written by experts in the integrative fields of neuroscience, endocrinology and immunology, provides insight into the mechanisms by which neural and neuroendocrine factors influence susceptibility to infection and autoimmunity. The book focuses on multiple sclerosis as the prototypic autoimmune disease and discusses infectious diseases including anthrax, influenza virus, herpes virus and human immunodeficiency virus. The effects of stress on experimental models of multiple sclerosis and also clinical observations of stress in multiple sclerosis patients are discussed. Neural and Neuroendocrine Mechanisms in Host Defense and Autoimmunity is an ideal book for researches and professionals in the fields of immunology, neuroscience, infectious disease, psychology, microbiology, virology, public health and pharmaceutical sciences.
Networks and Geographies of Global Social Policy Diffusion : Culture, Economy, and Colonial Legacies
This book analyses the global diffusion of social policy as a process driven by multiplex ties between countries in global social networks. The contributions analyze links between countries via global trade, colonial history, similarity in culture, and spatial proximity. Networks are viewed as the structural backbone of the diffusion process, and diffusion is anlaysed via several subfields of social policy, in order to interrogate which network dimensions drive this process.
NETWORKING 2008 Ad Hoc and Sensor Networks, Wireless Networks, Next Generation Internet ; 7th International IFIP-TC6 Networking Conference Singapore, May 5-9, 2008 Proceedings
The 82 revised full papers were carefully reviewed and selected from numerous submissions for inclusion in the book. The papers are organized in topical sections on ad hoc and sensor networks: design and optimization, MAC protocol, overlay networking, and routing; next generation internet: authentication, modeling and performance evaluation, multicast, network measurement and testbed, optical networks, peer-to-peer and overlay networking, peer-to-peer services, QoS, routing, security, traffic engineering, and transport protocols; wireless networks: MAC performance, mesh networks, and mixed networks.
NETWORKING 2005. Networking Technologies, Services, and Protocols ; Performance of Computer and Communication Networks ; Mobile and Wireless Communications Systems ; 4th International IFIP-TC6 Networking Conference, Waterloo, Canada, May 2-6, 2005, Proceedings
This book constitutes the refereed proceedings of the 4th International IFIP-TC6 Networking Conference, NETWORKING 2005, held in Waterloo, Canada in May 2005. The 105 revised full papers and 36 posters were carefully reviewed and selected from 430 submissions. The papers are organized in topical sections on peer-to-peer networks, Internet protocols, wireless security, network security, wireless performance, network service support, network modeling and simulation, wireless LAN, optical networks, Internet performance and Web applications, ad-hoc networks, adaptive networks, radio resource management, Internet routing, queuing models, monitoring, network management, sensor networks, overlay multicast, QoS, wirless scheduling, multicast traffic management and engineering, mobility management, bandwith management, DCMA, and wireless resource management.
