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New Directions and Applications in Control Theory

This volume contains a collection of papers in control theory and applications presented at a conference in honor of Clyde Martin on the occasion of his 60th birthday, held in Lubbock, Texas, November 14-15, 2003.

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New Developments in Classification and Data Analysis ; Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Bologna, September 22-24, 2003

This volume contains revised versions of selected papers presented during the biannual meeting of the Classification and Data Analysis Group of SocietA Italiana di Statistica, which was held in Bologna, September 22-24, 2003. The scientific program of the conference included 80 contributed papers. the conference provided a large number of scientists and experts from home and abroad with an attractive forum for discussions and mutual exchange of knowledge. The talks in the different sessions focused on methodological developments in supervised and unsupervised classification and in data analysis, also p- viding relevant contributions in the context of applications. This suggested the presentation of the 43 selected papers in three parts as follows: CLASSIFICATION AND CLUSTERING Non parametric classification Clustering and dissimilarities MULTIVARIATE STATISTICS AND DATA ANALYSIS APPLIED MULTIVARIATE STATISTICS Environmental data Microarray data Behavioural and text data Financial data

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New Corporate Governance: Successful Board Management Tools

it presents an innovative and integrated approach to the theory and practice of corporate governance. Central to this approach is a set of instruments - developed and tested by the author - that can be used by boards to offer effective strategic direction and control to their organizations. The board instruments can be readily applied to the targeted selection, review, remuneration and development of board members, and for conducting board self-evaluations. This new approach to corporate governance is based on four guiding principles: keep it situational, keep it strategic, keep it integrated, and keep it controlled. Together, these principles form the basis of an integrated approach that addresses all key aspects of corporate governance. The main arguments in each section are supported by conceptual models, practical board tools or case studies, making the book ideally suited to board members, senior managers and post-graduate students.

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New Corporate Governance : Successful Board Management Tools

Martin Hilb presents an innovative and integrated approach to the theory and practice of corporate governance. Central to this approach is a set of instruments - developed and tested by the author - that can be used by boards to offer effective strategic direction and control to their organizations. The board instruments can be readily applied to the targeted selection, review, remuneration and development of board members, and for conducting board self-evaluations. This new approach to corporate governance is based on four guiding principles: keep it situational, keep it strategic, keep it integrated, and keep it controlled. Together, these principles form the basis of an integrated approach that addresses all key aspects of corporate governance. The main arguments in each section are supported by conceptual models, practical board tools or case studies, making the book ideally suited to board members, senior managers and post-graduate students.

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New Computational Paradigms ; 1st Conference on Computability in Europe, CiE 2005, Amsterdam, The Netherlands, June 8-12, 2005, Proceedings

This book constitutes the refereed proceedings of the first International Conference on Computability in Europe, CiE 2005, held in Amsterdam, The Netherlands in June 2005. The 68 revised full papers presented were carefully reviewed and selected from 144 submissions. Among them are papers corresponding to two tutorials, six plenary talks and papers of six special sessions involving mathematical logic and computer science at the same time as offering the methodological foundations for models of computation. The papers address many aspects of computability in Europe with a special focus on new computational paradigms. These include first of all connections between computation and physical systems (e.g., quantum and analog computation, neural nets, molecular computation), but also cover new perspectives on models of computation arising from basic research in mathematical logic and theoretical computer science.

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New Computational Paradigms : Changing Conceptions of What is Computable

This book examines new developments in the theory and practice of computation from a mathematical perspective, with topics ranging from classical computability to complexity, from biocomputing to quantum computing. The book opens with an introduction by Andrew Hodges, the Turing biographer, who analyzes the pioneering work that anticipated recent developments concerning computation’s allegedly new paradigms. The remaining material covers traditional topics in computability theory such as relative computability, theory of numberings, and domain theory, in addition to topics on the relationships between proof theory, computability, and complexity theory.

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New Computational Methods in Power System Reliability

Power system reliability is in the focus of intensive study due to its critical role in providing energy supply to the modern society. This book is not aimed at providing the overview of the state of the art in power system reliability. On the contrary, it describes application of some new specific techniques: universal generating function method and its combination with Monte Carlo simulation and with random processes methods, Semi-Markov and Markov reward models and genetic algorithm.

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New Challenges in Applied Intelligence Technologies

This book includes 37 chapters which discuss examples of applications of intelligence technologies to five fields, reflecting main streams of practical and scientific interest of computer related community: agent and multi-agent systems; personal assistants and recom mender systems; knowledge modeling and processing; optimization and combinatorial problems; computer and telecommunication systems.

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New Business Models for the Reuse of Secondary Resources from WEEEs : The FENIX Project

This book summarizes research being pursued within the FENIX project, funded by the EU community under the H2020 programme, the goal of which is to design a new product service paradigm able to promote innovative business models, to open added value to the vessels and to create new market segments. It experiments and validates its approach on three new concepts of added-value specialized vessels able to run requested services for several maritime sectors in the most effective, efficient, economic valuable and eco-friendly way. The three vessels share the same lean design methodology, IoT tools and HPC simulation strategy: a lean fact-based design model approach, which combines real operative data at sea with lean methodology, to support the development and implementation of the vessel concepts; IT customized tools to enable the acquisition, processing and usage of on board and local weather data, through an IoT platform, to provide business services to different stakeholders; HPC simulation, providing a virtual towing tank environment, for early vessel design improvement and testing. The book demonstrates that an integrated LCC analysis and LCC strategy to guarantee sustainability to vessels concepts and the proper environmental attention inside the maritime industry.

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New Algorithms for Macromolecular Simulation

Molecular simulation is a widely used tool in biology, chemistry, physics and engineering. This book contains a collection of articles by leading researchers who are developing new methods for molecular modelling and simulation. Topics addressed here include: multiscale formulations for biomolecular modelling, such as quantum-classical methods and advanced solvation techniques; protein folding methods and schemes for sampling complex landscapes; membrane simulations; free energy calculation; and techniques for improving ergodicity. The book is meant to be useful for practitioners in the simulation community and for those new to molecular simulation who require a broad introduction to the state of the art.

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New Advances in Virtual Humans: Artificial Intelligence Environment

In this book, various aspects of cognitive and emotional behaviour is described. In chapter one, a state of the art introduction to VH is presented and the associated research is given. In Chapter 2, cognitive and emotions processes are described. A Comprehensive context model for multi-party interactions with the VH is given in the next chapter. Finally, it is very important to model the socializing of groups of virtual humans. This is discussed in Chapter 4. The automatic modelling of expressions for VH is described in Chapter 5. The last chapter gives a case study of an intelligent kios avatar and its usability.

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Neuroscribe = نيوروسكرايب

Neuroscribe is a cutting-edge deep learning framework designed to address the complexities and inefficiencies encountered in existing frameworks like PyTorch and TensorFlow. Aimed at streamlining model development and enhancing performance across diverse hardware environments, NeuroScribe offers a lightweight and flexible solution. The framework features a robust tensor library, an auto-differentiation engine, a comprehensive neural network module, and advanced optimization algorithms. With built-in visualization tools and a user-friendly interface, NeuroScribe simplifies both beginner and advanced workflows. Its cross-platform compatibility, supported by CUDA and Metal Performance Shaders (MPS), ensures optimal performance, and in some scenarios, NeuroScribe demonstrates superior speed compared to leading frameworks. Additionally, NeuroScribe introduces unique libraries and features not found in other frameworks, further enhancing its versatility and appeal. The modular architecture and automatic system detection further enhance its adaptability, making NeuroScribe a versatile and powerful tool for deep learning practitioners.

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Neuropsicologia della comunicazione = Neuropsychology of communication

Le più recenti acquisizioni della neuropsicologia cognitiva hanno consentito di focalizzare la natura dei processi linguistici e comunicativi, individuando i correlati fisiologici ed anatomici sottostanti alla produzione (encoding) e alla comprensione (decoding) del linguaggio. La prima parte del volume intende esplorare i paradigmi, i metodi e gli strumenti della neuropsicologia "per" la comunicazione. Nella seconda parte del contributo vengono prese in considerazione le componenti pragmatiche della comunicazione. Recenti modelli si sono occupati in particolare di alcuni fenomeni peculiari dello scambio comunicativo che mettono in rilievo il ruolo prioritario del "voler dire" nella comunicazione ordinaria (ironia, comunicazione idiomatica, metafora e, più in generale, linguaggio iconico o figurato). La terza parte del libro analizza il piano comunicativo non-verbale, con particolare attenzione alla comunicazione delle emozioni. Più specificamente vengono prese in considerazione le componenti mimiche e vocali nell’encoding e nel decoding delle emozioni. Questo volume, rivolto a neuropsicologi, psicologi, logopedisti e medici generici, potrà essere un utile strumento di lavoro anche per gli specializzandi di tali discipline.

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Neuroprotection : Method and protocols

Contains cutting-edge molecular biology methods on neuroprotective mechanisms and specific preclinical models of the CNS injury, iseases and planning translation. Chapters guide readers through neuropathology, neuroprotection, Alzheimer’s disease, amyotrophic lateral sclerosis, ALS, Huntington’s disease , multiple sclerosis, Parkinson’s disease, spinal cord injury, traumatic brain injury, and ischemic brain injury. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.

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Neuronal cell death : Methods and protocols

Covers comprehensive methods on ways to assess structural and ultrastructural changes in the mitochondria, cytoskeleton, and microglia using state-of-the-art microscopy techniques including super-resolution imaging, electron microscopy, and ultra-high field MRI. The chapters in this book cover topics such as analysis of neurodegeneration in the post-mortem characterization of preclinical animal models, in vivo modeling in cell death in different model systems and brain organoids, single cell clonal analysis using Mosaic Analysis with Double Markers in genetic mouse models, and genome and proteomic methods for analysis of mRNA dynamics and quantitation of targeted peptides.

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Neuro–Fuzzy Associative Machinery for Comprehensive Brain and Cognition Modelling

Neuro–Fuzzy Associative Machinery for Comprehensive Brain and Cognition Modelling" is a graduate–level monographic textbook. It represents a comprehensive introduction into both conceptual and rigorous brain and cognition modelling. It is devoted to understanding, prediction and control of the fundamental mechanisms of brain functioning. The reader will be provided with a scientific tool enabling him to perform a competitive research in brain and cognition modelling.

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Neurodynamics of Cognition and Consciousness

This book addresses dynamical aspects of brain functions and cognition. This volume gives an overview of recent advances in this interdisciplinary field of cognitive and computer science related to dynamics of cognition, including experimental studies, dynamical modelling and interpretation of cognitive experiments, and theoretical approaches.

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Neurodegeneration and Prion Disease

This volume provides an in-depth overview from world experts on prion disease. These fatal diseases include Creutzfeldt-Jakob disease, chronic wasting disease in deer, scrapie of sheep, bovine spongiform encephalopathy (mad cow’s disease) of cattle and related diseases. Understanding what causes neuronal death in these diseases is essential to both preventing and curing them. The most recent advances in understanding neuronal death in prion diseases are presented. Prion diseases serve as an experimental model for all neurodegenerative conditions. This book will provide understanding of neurodegeneration and provide an up-to-date record of the state of the art for other specialists and non-specialists in related fields.

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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.

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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.

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