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High performance computing for drug discovery and biomedicine
Explores the application of high-performance computing (HPC) technologies to computational drug discovery (CDD) and biomedicine. Collects CDD approaches that, together with HPC, can revolutionize and automate drug discovery process, such as knowledge graphs, natural language processing (NLP), Bayesian optimization, automated virtual screening platforms, alchemical free energy workflows, fragment-molecular orbitals (FMO), HPC-adapted molecular dynamic simulation (MD-HPC), and the potential of cloud computing for drug discovery. And delves into computational algorithms and workflows for biomedicine, featuring an HPC framework to assess drug-induced arrhythmic risk, digital patient applications relevant to the clinic, virtual human simulations, cellular and whole-body blood flow modeling for stroke treatments, prediction of the femoral bone strength from CT data, and many more subjects.
High performance computing for computational science - VECPAR 2008 ; 8th International Conference, Toulouse, France, June 24-27, 2008. Revised Selected Papers
This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on High Performance Computing for Computational Science, VECPAR 2008, held in Toulouse, France, in June 2008.The 51 revised full papers presented together with the abstract of a surveying and look-ahead talk were carefully reviewed and selected from 73 submissions. The papers are organized in topical sections on parallel and distributed computing, cluster and grid computing, problem solving environment and data centric, numerical methods, linear algebra, computing in geosciences and biosciences, imaging and graphics.
High performance computing for computational science - VECPAR 2006 ; 7th International Conference, Rio de Janeiro, Brazil, June 10-13, 2006, Revised Selected and Invited Papers
This book constitutes the thoroughly refereed post-proceedings of the 7th International Conference on High Performance Computing for Computational Science, VECPAR 2006, held in Rio de Janeiro, Brazil, in June 2006.
High performance computing and communications ; Vol.3726 ; 1st International Conference, HPCC 2005, Sorrento, Italy, September, 21-23, 2005, Proceedings
Constitutes the refereed proceedings of the First International Conference on High-Performance Computing and Communications, HPCC 2005, held in Sorrento, Italy. This book includes 76 revised full papers and 44 revised short papers. These papers are organized in topical sections on network protocols, routing, and algorithms; and others.
High performance computing and communications ; Vol. 4208 : 2nd International Conference, HPCC 2006, Munich, Germany, September 13-15, 2006, Proceedings
HPCC has moved into the mainstream of c- puting and has become a key technology in future research and development activities in many academic and industrial branches, especially when the so- tion of large and complex problems must cope with very tight time constraints. The HPCC 2006 conference provides a forum for engineers and scientists in academia, industry, and governmentto address all resulting profound challenges and to present and discuss their new ideas, research results, applications, and experience on all aspects of HPCC.
High performance computing and communications ; 3rd International Conference, HPCC 2007, Houston, USA, September 26-28, 2007, Proceedings
The 75 revised full papers address all current issues of parallel and distributed systems and high performance computing and communication, including networking protocols, embedded systems, wireless, mobile and pervasive computing, Web services and internet computing, and programming interfaces for parallel systems.
High performance computing ; 4th International Symposium, ISHPC 2002, Kansai Science City, Japan, May 15-17, 2002. Proceedings
The objective of this symposium is to exchange the latest research results in software, architecture, and applications in HPC in a more informal and friendly atmosphere. I am delighted that the symposium is, like past successful ISHPCs, comprised of excellent invited talks, panels, workshops, as well as high-quality technical papers on various aspects of HPC. We hope that the symposium will provide an excellent opportunity for lively exchange and discussion about - rections in HPC technologies and all the participants will enjoy not only the symposium but also their stay in Kansai Science City.
High performance computing - HiPC 2008 ; 15th International Conference, Bangalore, India, December 17-20, 2008. Proceedings
This book constitutes the refereed proceedings of the 15th International Conference on High-Performance Computing, HiPC 2008, held in Bangalore, India, in December 2008.The 46 revised full papers presented together with the abstracts of 5 keynote talks were carefully reviewed and selected from 317 submissions. The papers are organized in topical sections on applications performance optimizazion, parallel algorithms and applications, scheduling and resource management, sensor networks, energy-aware computing, distributed algorithms, communication networks as well as architecture.
High performance computing - HiPC 2006 ; 13th International Conference Bangalore, India, December 18-21, 2006, Proceedings
Coverage in this volume includes scheduling and load balancing, network and distributed algorithms, application software, network services, ad-hoc networks, systems software, sensor networks and performance evaluation, as well as routing and data management algorithms.
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 Availability and Disaster Recovery : Concepts, Design, Implementation
Companies and other organizations depend more than ever on the availability of their Information Technology, and most mission critical business processes are IT-based processes. Business continuity is the ability to do business under any circumstances and is an essential requirement modern companies are facing. High availability and disaster recovery are contributions of the IT to fulfill this requirement. And companies will be confronted with such demands to an even greater extent in the future, since their credit ratings will be lower without such precautions. Both, high availability and disaster recovery, are realized by redundant systems. Redundancy can and should be implemented on different abstraction levels: from the hardware, the operating system and middleware components up to the backup computing center in case of a disaster. This book presents requirements, concepts, and realizations of redundant systems on all abstraction levels, and all given examples refer to UNIX and Linux systems.
Heterogeneous Objects Modelling and Applications : Collection of Papers on Foundations and Practice
Heterogeneous object modelling is a new and quickly developing research area. This book is one of the first attempts to systematically cover the most relevant themes and problems of this new and challenging subject area. It is a collection of invited papers and papers co-authored by the editors. Each chapter presents either new research results or a survey on the following topics:Formal models and abstractions of heterogeneous objects including geometric, topological, discrete and continuous models, operations forming special algebras and conversions between different model types.
Heterogeneity, high performance computing, self-organization and the cloud
Addresses the most recent developments in cloud computing such as HPC in the Cloud, heterogeneous cloud, self-organising and self-management, and discusses the business implications of cloud computing adoption. Establishing the need for a new architecture for cloud computing, it discusses a novel cloud management and delivery architecture based on the principles of self-organisation and self-management. This focus shifts the deployment and optimisation effort from the consumer to the software stack running on the cloud infrastructure. It also outlines validation challenges and introduces a novel generalised extensible simulation framework to illustrate the effectiveness, performance and scalability of self-organising and self-managing delivery models on hyperscale cloud infrastructures. It concludes with a number of potential use cases for self-organising, self-managing clouds and the impact on those businesses.
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.
Hebbian Learning and Negative Feedback Networks
This book is the outcome of a decade’s research into a speci?c architecture and associated learning mechanism for an arti?cial neural network: the - chitecture involves negative feedback and the learning mechanism is simple Hebbian learning. The research began with my own thesis at the University of Strathclyde, Scotland, under Professor Douglas McGregor which culminated with me being awarded a PhD in 1995 [52], the title of which was “Negative Feedback as an Organising Principle for Arti?cial Neural Networks”. Naturally enough, having established this theme, when I began to sup- vise PhD students of my own, we continued to develop this concept and this book owes much to the research and theses of these students at the Applied Computational Intelligence Research Unit in the University of Paisley . All of Chapters 3 to 8 deal with single stream arti?cial neural networks.
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 Mass Transfer
This comprehensive textbook provides readers with a firm foundation in the principles of heat and mass transfer and shows them how to solve problems by applying modern methods. The basic theory is developed systematically, and the solution methods to all important problems are covered in detail. The second edition incorporates state-of-the-art findings on heat and mass transfer correlations. Therefore, this book will be useful not only to upper- and graduate-level students, but also to practicing scientists and engineers. Many worked-out examples and numerous exercises with their solutions will facilitate learning and understanding, and an appendix includes data on key properties of important substances.
Hearing faces
Our project aims to aid deaf-mute people by tracking hand movements of the deaf-mute person for word level American Sign Language using WLASL model that include 2D CNN -3D CNN and RNN networks training on WLASL large video dataset, then generating the corresponding text and analyzing the person's facial gestures to generate information related to the tone of voice that is most appropriate to the person's age, gender, and race through MTCNN network algorithm that training on generated dataset by us depending on blending VOXCELEB dataset and VGGFACE dataset .
Healthy Longevity in China : Demographic, Socioeconomic, and Psychological Dimensions
China is aging at an extraordinary speed and has the largest quantity of elderly persons in the world. Scholars utilize this unprecedented living experience of human being and the unique Chinese Longitudinal Healthy Longevity Survey (CLHLS) datasets with the aim to answer in this volume the following questions critical to the aging population world wide. Is the period of disability compressing or expanding with increasing life expectancy and what factors are associated with these trends in the recent decades? Is it possible to realize morbidity compression with a prolongation of the life span in the future?The first section of the book presents the CLHLS project’s study design, sample distribution, contents of data collected, and assessments of age reporting and data quality. The remaining chapters are grouped into sections dealing with the demographic, social, economic, familial and psychological dimensions of healthy longevity.
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.
