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High performance computational science and engineering : IFIP TC5 Workshop on High Performance Computational Science and Engineering (HPCSE), World Computer Congress, August 22-27, 2004, Toulouse, France
The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The scope of the series includes: foundations of computer science; software theory and practice; education; computer applications in technology; communication systems; systems modeling and optimization; information systems; computers and society; computer systems technology; security and protection in information processing systems; artificial intelligence; and human-computer interaction. Proceedings and post-proceedings of referred international conferences in computer science and interdisciplinary fields are featured. These results often precede journal publication and represent the most current research. The principal aim of the IFIP series is to encourage education and the dissemination and exchange of information about all aspects of computing.
High Order Difference Methods for Time Dependent PDE
Many books have been written on ?nite difference methods (FDM), but there are good reasons to write still another one. The main reason is that even if higher order methods have been known for a long time, the analysis of stability, accuracy and effectiveness is missing to a large extent. For example, the de?nition of the formal high order accuracy is based on the assumption that the true solution is smooth, or expressed differently, that the grid is ?ne enough such that all variations in the solution are well resolved. In many applications, this assumption is not ful?lled, and then it is interesting to know if a high order method is still effective. Another problem that needs thorough analysis is the construction of boundary conditions such that both accuracy and stability is upheld. And ?nally, there has been quite a strongdevelopmentduringthe last years, inparticularwhenit comesto verygeneral and stable difference operators for application on initial–boundary value problems.
High Frequency Financial Econometrics : Recent Developments
This exciting volume presents cutting-edge developments in high frequency financial econometrics, spanning a diverse range of topics: market microstructure, tick-by-tick data, bond and foreign exchange markets and large dimensional volatility modelling. The chapters on market microstructure deal with liquidity, asymmetries of information, and limit order aggressiveness in pure limit order book markets. The chapters on tick-by-tick data present statistical techniques for the analysis of the discrete nature of price movements, the intraday seasonal patterns of financial durations, and the joint probability law of prices, volume and durations. Bond markets are brought into focus through the analysis of macroeconomic announcements in the future bond market as a function of the business cycle.
High Confidence Software Reuse in Large Systems ; 10th International Conference on Software Reuse, ICSR 2008, Beijing, China, May 25-29, 2008 Proceedings
This book constitutes the refereed proceedings of the 10th International Conference on Software Reuse, ICSR 2008, held in Beijing, China, in May 2008.The 40 revised full papers presented together with 5 workshop summaries and 5 tutorials were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on architecture and reuse approaches, high confidence and reuse, component selection and reuse repository, product line, domain models and analysis, service oriented environment, components and services, reuse approaches and frameworks, as well as reuse approaches and methods.
Hierarchical Matrices : A Means to Efficiently Solve Elliptic Boundary Value Problems
Hierarchical matrices are an efficient framework for large-scale fully populated matrices arising, e.g., from the finite element discretization of solution operators of elliptic boundary value problems. In addition to storing such matrices, approximations of the usual matrix operations can be computed with logarithmic-linear complexity, which can be exploited to setup approximate preconditioners in an efficient and convenient way. Besides the algorithmic aspects of hierarchical matrices, the main aim of this book is to present their theoretical background. The book contains the existing approximation theory for elliptic problems including partial differential operators with nonsmooth coefficients.
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.
Hidden Markov Models in Finance
A number of methodologies have been employed to provide decision making solutions to a whole assortment of financial problems in today's globalized markets. Hidden Markov Models in Finance by Mamon and Elliott will be the first systematic application of these methods to some special kinds of financial problems; namely, pricing options and variance swaps, valuation of life insurance policies, interest rate theory, credit risk modeling, risk management, analysis of future demand and inventory level, testing foreign exchange rate hypothesis, and early warning systems for currency crises.
Heterologous protein production in CHO cells : Methods and protocols
Explores the use of Chinese hamster ovary (CHO) cells in the production of therapeutic protein products. Beyond updates on earlier methodologies, the book also delves into the genetic manipulation of CHO cells for recombinant protein production, analysis of CHO cells using proteomic and metabolomic approaches, as well as methods for the characterization of recombinant protein products, such as glycosylation and host cell protein analysis.
Heterogeneous Wireless Access Networks : Architectures and Protocols
Heterogeneous Wireless Access Networks provides a unified view of the state-of-the-art protocols and architectures for heterogeneous wireless networking. The chapters cover both the theoretical concepts and system-level implementation issues related to design, analysis, and optimization of architectures and protocols for heterogeneous wireless access networks.
Heterogeneity in statistical genetics : How to assess, address, and account for mixtures in association studies
Heterogeneity, or mixtures, are ubiquitous in genetics. Even for data as simple as mono-genic diseases, populations are a mixture of affected and unaffected individuals. Still, most statistical genetic association analyses, designed to map genes for diseases and other genetic traits, ignore this phenomenon.In this book, we document methods that incorporate heterogeneity into the design and analysis of genetic and genomic association data. Among the key qualities of our developed statistics is that they include mixture parameters as part of the statistic, a unique component for tests of association. A critical feature of this work is the inclusion of at least one heterogeneity parameter when performing statistical power and sample size calculations for tests of genetic association.
Hermann Cohens Critical Idealism
Publications on Cohen in the English language are small in number and this volume aims to fill the gap. It offers an analysis of Cohen’s System of Philosophy - the three-volume classic on logic, ethics, and aesthetics - and his writings on Judaism and religion. The book highlights Cohen’s contributions in these fields, including his discussions with Maimonides, Leibniz, Kant, and Hegel. It demonstrates the congeniality of Cohen’s critical idealism as expounded in the System and his writings on Judaism, and offers an overview of contemporary Cohen research.
Herbal pharmacopeia : Nanotechnology and advancing drug
Explores the intersection between traditional herbal medicine and cutting-edge nanotechnology. The chapters introduce modern techniques used in herbal extraction and analysis. The principles of drug discovery from plants are discussed, with a focus on the identification and development of bioactive compounds that have therapeutic potential. It discusses the pharmacological properties, biotechnological approaches in drug development, and challenges in the formulation and standardization of herbal medicines. Emerging trends and applications of nanotechnology in herbal pharmacotherapy, such as nanoparticle synthesis, enhanced bioavailability using nanocarriers, safety assessments, novel and targeted delivery systems, and regulatory considerations, are thoroughly discussed. Additionally, it includes a comparative analysis of traditional and nano-formulated approaches and their implementation in clinical settings. Towards the end, the book reviews the regulatory considerations for herbal products and future perspectives in herbal pharmacopeia. This book is intended for researchers, clinicians, and professionals in herbal medicine, pharmacology, and nanotechnology.
Hemodynamical Flows : Modeling, Analysis and Simulation
This book surveys research results on the physical and mathematical modeling, as well as the numerical simulation of complex fluid and structural mechanical processes occurring in the human blood circulation system. Topics treated include continuum mechanical description; choice of suitable liquid and wall models; mathematical analysis of coupled models; numerical methods for flow simulation; parameter identification and model calibration; fluid-solid interaction; mathematical analysis of piping systems; particle transport in channels and pipes; artificial boundary conditions, and many more.
Hegels Idea of the Good Life : From Virtue to Freedom, Early Writings and Mature Political Philosophy
In Hegel’s Idea of the Good Life, Joshua D. Goldstein presents the first book-length study of the development and meaning of Hegel’s account of human flourishing.Hegel’s Idea of the Good Life provides extensive analysis of the foundational essays in the formation of Hegel’s youthful thought (including the Tübingen essay, Berne Fragments, The Life of Jesus) as well as the structuring features of his mature political philosophy (including a critical reconstruction of freedom, ethical institutions, and experience within the Philosophy of Right).
Hedonic Methods in Housing Markets : Pricing Environmental Amenities and Segregation
Cities are growing worldwide and their sprawl is increasingly challenged for its pressure on open spaces and environmental quality. Economic arguments can help to decide about the trade-off between preserving environmental quality and developing housing and business surfaces, provided the benefits of environmental quality are adequately quantified. To this end, this book focuses on the use and advancement of the "hedonic approach", an economic valuation technique that analyses and quantifies the sources of rent and property price differentials. Starting from theoretical foundations, the hedonic approach is applied to the valuation of natural land use preservation and noise abatement measures, as well as to residential segregation and discrimination, extending the analysis to the role of the buyers' and sellers' identity on housing market prices and to the issue of environmental justice.
Heavy-Tail Phenomena : Probabilistic and Statistical Modeling
This comprehensive text gives an interesting and useful blend of the mathematical, probabilistic and statistical tools used in heavy-tail analysis. Heavy tails are characteristic of phenomena where there is a significant probability of a single huge value impacting system behavior. Record-breaking insurance losses, financial returns, sizes of files stored on a server, transmission rates of files are all examples of heavy-tailed phenomena.
Heat and cold storage with PCM : An up to date introduction into basics and applications
Latent heat storage with phase change materials (PCM) has the potential to improve significantly the efficiency of heat and cold storages and to reduce their size considerably. The book is an introduction into the field for researchers and students. It summarizes and explains the basics, general concepts, and applications with examples in a single text. For a better understanding, many derivations, graphs and tables are included. All aspects from materials analysis and modification, storage design, storage integration, and different application examples are covered. Special focus is on applications in buildings.
Healthcare, Frugal Innovation, and Professional Voluntarism : A Cost-Benefit Analysis
This book investigates what international placements of healthcare employees in low resource settings add to the UK workforce and the efficacy of the its national health system. The authors present empirical data collected from a volunteer deployment project in Uganda focused on reducing maternal and new-born mortality and discuss the learning and experiential outcomes for UK health care professionals acting as long term volunteers in low resource settings. They also develop a model for structured placement that offers optimal learning and experiential outcomes and minimizes risk, while shedding new light on the role that international placements play as part of continuing professional development both in the UK and in other sending countries.
Healthcare solutions using machine learning and informatics
Covers novel and innovative solutions for the healthcare that apply machine learning and biomedical informatics technology. The healthcare sector is one of the most critical in society. This book presents a series of artificial intelligence, machine learning, intelligent IoT-based solutions for medical image analysis, medical big data processing, disease predictions. Machine learning and artificial intelligence use cases in healthcare presented in the book give researchers, practitioners, and students a wide range of practical examples of cross-domain convergence. The wide variety of topics covered include: Artificial Intelligence in healthcare Machine learning solutions for such disease as diabetes, arthritis, cardiovascular disease, and COVID-19 Big data analytics solutions for healthcare data processing Reliable biomedical applications using AI models Intelligent IoT in healthcare. The book explains fundamental concepts as well as the advanced use cases illustrating how to apply emerging technologies such as machine learning, AI models, data informatics into practice to tackle challenges in the field of healthcare with real-world scenarios. Chapters contributed by noted academicians and professionals examine various solutions, frameworks, applications, case studies, and best practices in the healthcare domain
Health technology assessments by the National Institute for Health and Clinical Excellence : A qualitative study
This volume dissects the robustness of the agency’s technology appraisal processes as NICE evaluates innovative methods for diagnosis and intervention. Given the unique features of attention-deficit/hyperactivity disorder (ADHD)—starting with it being diagnosed mainly in children and adolescents, its high comorbidity with other psychiatric conditions, and its considerable economic impact—the disorder is a perfect focal point for discussion.
