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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.

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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

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HCI related papers of Interacción 2004 ; Conference proceedings

The present book contains a collection of the best papers presented at the 5th International Conference on Interacción Persona Ordenador (IPO) (which is Human Computer Interaction in Spanish), which took place in th th Lleida on May 5 -7 , 2004. . The main goals of Interacción 2004 were: To expand the conference scope with internationally recognised invited speakers. The plenary talks were presented by Alan Dix, Yvonne Rogers, Geritt van der Veer, and Angel Puerta. To open the participation to Spanish speaker worldwide in order to be a point of reference of this discipline not only in Spain but also in the wider Spanish speaking community. This goal was reached through a very diverse program which included panels and posters sessions, where many different aspect of the Human Computer Interaction (HCI) were presented. All through the program, research from outside Spain was reflected through the contributions from people of other countries.

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Hardware and software : Verification and testing ; 3rd International Haifa Verification Conference, HVC 2007, Haifa, Israel, October 23-25, 2007. Proceedings

These are the conference proceedings of the 4th Haifa Verifcation Conference, held October 27–30, 2008 in Haifa, Israel. This international conference is a unique venue that brings together leading researchers and practitioners of both formal and dynamic verifcation, for both hardware and software systems. This year’s conference extended the successes of the previous years, with a largejumpinthenumberofsubmitted papers. with many more high-quality papers than we had room to accept. Submissions came from 19 di?erent countries, re?ecting the growing international visibility of the conference. Of the 49 submissions, 43 were regular papers, 2 of which were later withdrawn, and 6 were tool papers. After a rigorous review process.

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Hands-On Software Architecture with Java - Learn key architectural techniques and strategies to design efficient and elegant Java applications

Starts with the fundamentals of architecture and takes you through the basic components of application architecture. You'll cover the different types of software architectural patterns and application integration patterns and learn about their most widespread implementation in Java. You'll then explore cloud-native architectures and best practices for enhancing existing applications to better suit a cloud-enabled world. Later, the book highlights some cross-cutting concerns and the importance of monitoring and tracing for planning the evolution of the software, foreseeing predictable maintenance, and troubleshooting. The book concludes with an analysis of the current status of software architectures in Java programming and offers insights into transforming your architecture to reduce technical debt.

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Hands-on question answering systems with BERT : Applications in neural networks and natural language processing

Begins with an overview of the technology landscape behind BERT. It takes you through the basics of NLP, including natural language understanding with tokenization, stemming, and lemmatization, and bag of words. Next, you’ll look at neural networks for NLP starting with its variants such as recurrent neural networks, encoders and decoders, bi-directional encoders and decoders, and transformer models. Along the way, you’ll cover word embedding and their types along with the basics of BERT. After this solid foundation, you’ll be ready to take a deep dive into BERT algorithms such as masked language models and next sentence prediction. You’ll see different BERT variations followed by a hands-on example of a question answering system. You will: Examine the fundamentals of word embeddings / Apply neural networks and BERT for various NLP tasks / Develop a question-answering system from scratch / Train question-answering systems for your own data

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Hands-On Design Patterns with Java : Learn Design Patterns That Enable the Building of Large-Scale Software Architectures

Java design patterns are reusable and proven solutions to software design problems. This book covers over 60 battle-tested design patterns used by developers to create functional, reusable, and flexible software. Hands-On Design Patterns with Java starts with an introduction to the Unified Modeling Language (UML), and delves into class and object diagrams with the help of detailed examples. You'll study concepts and approaches to object-oriented programming (OOP) and OOP design patterns to build robust applications. As you advance, you'll explore the categories of GOF design patterns, such as behavioral, creational, and structural, that help you improve code readability and enable large-scale reuse of software. You’ll also discover how to work effectively with microservices and serverless architectures by using cloud design patterns, each of which is thoroughly explained and accompanied by real-world programming solutions. By the end of the book, you’ll be able to speed up your software development process using the right design patterns, and you’ll be comfortable working on scalable and maintainable projects of any size.

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Hands-On Data Structures and Algorithms with Python : Store, manipulate, and access data effectively ; 3rd ed.

Expands your understanding of key structures, including stacks, queues, and lists, and also show you how to apply priority queues and heaps in applications. You'll learn how to analyze and compare Python algorithms, and understand which algorithms should be used for a problem based on running time and computational complexity. You will also become confident organizing your code in a manageable, consistent, and scalable way, which will boost your productivity as a Python developer. By the end of this Python book, you'll be able to manipulate the most important data structures and algorithms to more efficiently store, organize, and access data in your applications

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Handbook on Interactive Storytelling

You will find a comprehensive discussion of the latest research covering the creation of interactive narratives that allow users to experience a dramatically compelling story that responds directly to their actions and choices. Readers will also enjoy: A thorough introduction to interactive storytelling, including discussions of narrative, plot, story, interaction, and a history of the phenomenon, from improvisational theory to role-playing games A rigorous discussion of the background of storytelling, from Aristotle’s Poetics to Joseph Campbell and the hero’s journey Compelling explorations of different perspectives in the interactive storytelling space, including different platforms, designers, and interactors, as well as an explanation of storyworlds

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Handbook of networked and embedded control systems

The Handbook of Networked and Embedded Control Systems, the first of its kind, provides engineers, computer scientists, mathematicians, and students a broad, comprehensive source of information and technology to address many questions and aspects of embedded and networked control. A carefully organized collection of important results, tools, software, and technology, this work unifies into a single reference many scattered articles, websites, and specification sheets—information that might otherwise be difficult to find.

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Handbook of Nature-Inspired and Innovative Computing : Integrating Classical Models with Emerging Technologies

This comprehensive handbook, the first of its kind to address the connection between nature-inspired and traditional computational paradigms, is a repository of case studies dealing with different problems in computing and solutions to these problems based on nature-inspired paradigms. The "Handbook of Nature-Inspired and Innovative Computing: Integrating Classical Models with Emerging Technologies" is an essential compilation of models, methods, and algorithms for researchers, professionals, and advanced-level students working in all areas of computer science, IT, biocomputing, and network engineering.

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Handbook Of Mathematical Models For Languages And Computation

Introduces a variety of concepts in discrete mathematics and mathematical modeling for languages and computation. The authors pay special attention to the implementation of mathematical concepts to explain clearly how to encode them in computational practice. All computer programs are written in C#. The theory of computation is used to address challenges arising in many computer science areas such as artificial intelligence, language processors, compiler writing, information and coding systems, programming language design, computer architecture and more. To grasp topics concerning this theory readers need to familiarize themselves with its computational and language models, based on concepts of discrete mathematics including sets, relations, functions, graphs and logic.

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Handbook of Face Recognition

This authoritative handbook is the first to provide complete coverage of face recognition, including major established approaches, algorithms, systems, databases, evaluation methods, and applications. After a thorough introductory chapter from the editors, 15 chapters address the sub-areas and major components necessary for designing operational face recognition systems. Each chapter focuses on a specific topic, reviewing background information, reviewing up-to-date techniques, presenting results, and offering challenges and future directions.

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Handbook of big data analytics ; Vol.2 : Applications in ICT, security and business analytics

Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and user and customer preferences, to allow organizations and businesses to make more informed decisions. These methods and technologies have become ubiquitous in all fields of science, engineering, business and management due to the rise of data-driven models as well as data engineering developments using parallel and distributed computational analytics frameworks, data and algorithm parallelization, and GPGPU programming. However, there remain potential issues that need to be addressed to enable big data processing and analytics in real time.

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Handbook of big data analytics ; Vol.1 : Methodologies

Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and user and customer preferences, to allow organizations and businesses to make more informed decisions. These methods and technologies have become ubiquitous in all fields of science, engineering, business and management due to the rise of data-driven models as well as data engineering developments using parallel and distributed computational analytics frameworks, data and algorithm parallelization, and GPGPU programming. However, there remain potential issues that need to be addressed to enable big data processing and analytics in real time. This volume presents several methodologies to support Big Data analytics including database management, processing frameworks and architectures, data lakes, query optimization strategies, towards real-time data processing, data stream analytics, Fog and Edge computing, and Artificial Intelligence and Big Data.

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Guide to wireless network security

Guide to Wireless Network Security is an authoritative, clearly presented guide to key foundation topics and technology frameworks for designing and maintaining secure, reliable operations. From basic concepts to designing principles to deployment, all critical concepts and phases are clearly explained and presented. This guide includes coverage of wireless security testing techniques and prevention techniques for intrusion (attacks).

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Guide to web development with Java : Understanding website creation

This comprehensive Guide to Web Development with Java introduces the readers to the three-tiered, Model-View-Controller architecture by using Spring JPA, JSPs, and Spring MVC controllers. These three technologies use Java, so that a student with a background in programming will be able to master them with ease, with the end result of being able to create web applications that use MVC, validate user input,and save data to a database.

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Guide to RISC Processors : for Programmers and Engineers

This guidebook provides an accessible and all-encompassing compendium on RISC processors, introducing five RISC processors: MIPS, SPARC, PowerPC, ARM, and Itanium. Initial chapters explain the differences between the CISC and RISC designs and clearly discuss the core RISC design principles. The text then integrates instruction on MIPS assembly language programming, thereby enabling readers to concretely grasp concepts and principles introduced earlier. Readers need only have a basic knowledge of any structured, high-level language to obtain the full benefits here.

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Guide to Assembly Language Programming in Linux

This unique guide provides comprehensive coverage of the key elements of Assembly language programming with in-depth coverage of the Linux operating system, which is the fastest-growing operating system with an estimated 18 million Linux users worldwide. The book specifically targets professionals who would like to learn Assembly and intend or expect to move to the Linux operating system. This highly useful guidebook comes complete with all the necessary software (Linux, NASM, debugger), making it an extremely valuable resource tool for all those who want to learn Assembly programming and Linux. Readers need only have a basic knowledge of any structured, high-level language such as C to obtain the full benefits of this guidebook.

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Guide to assembly language : A concise introduction

This concise guide is designed to enable the reader to learn how to program in assembly language as quickly as possible. Through a hands-on programming approach, readers will also learn about the architecture of the Intel processor, and the relationship between high-level and low-level languages. This updated second edition has been expanded with additional exercises, and enhanced with new material on floating-point numbers and 64-bit processing.

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