Bioinformatics is an integrative field of computer science, genetics, genomics, proteomics, and statistics, which has undoubtedly revolutionized the study of biology and medicine in past decades. It mainly assists in modeling, predicting and interpreting large multidimensional biological data by utilizing advanced computational methods. Despite its enormous potential, bioinformatics is not widely integrated into the academic curriculum as most life science students and researchers are still not equipped with the necessary knowledge to take advantage of this powerful tool. Hence, the primary purpose of our book is to supplement this unmet need by providing an easily accessible platform for students and researchers starting their career in life sciences. This book aims to avoid sophisticated computational algorithms and programming. Instead, it focuses on simple DIY analysis and interpretation of biological data with personal computers. Our belief is that once the beginners acquire these basic skillsets, they will be able to handle most of the bioinformatics tools for their research work and to better understand their experimental outcomes. Our second title of this volume set In Silico Life Sciences: Medicine provides hands-on experience in analyzing high throughput molecular data for the diagnosis, prognosis, and treatment of monogenic or polygenic human diseases. The key concepts in this volume include risk factor assessment, genetic tests and result interpretation, personalized medicine, and drug discovery. This volume is expected to train readers in both single and multi-dimensional biological analysis using open data sets, and provides a unique learning experience through clinical scenarios and case studies.

Recently, educators have begun to consider what is required in literacy curricula and best teaching practices given the demands placed on the educator sector and on literacy in general. ""Multiliteracies and Technology Enhanced Education: Social Practice and the Global Classroom"" features theoretical reflections and approaches on the use of multiliteracies and technologies in the improvement of education and social practices. Assisting educators at different teaching levels and fostering professional development and progress in this growing field, this innovative publication supports practitioners concerned with teaching at both a local and global level.

This book describes a variety of test generation algorithms for testing crosstalk delay faults in VLSI circuits. It introduces readers to the various crosstalk effects and describes both deterministic and simulation-based methods for testing crosstalk delay faults. The book begins with a focus on currently available crosstalk delay models, test generation algorithms for delay faults and crosstalk delay faults, before moving on to deterministic algorithms and simulation-based algorithms used to test crosstalk delay faults. Given its depth of coverage, the book will be of interest to design engineers and researchers in the field of VLSI Testing.

This book discusses recent advances and research in applied mathematics, statistics and their applications in computing. It features papers presented at the fourth conference in the series organized at the Indian Institute of Technology (Banaras Hindu University), Varanasi, India, on 9 - 11 January 2018 on areas of current interest, including operations research, soft computing, applied mathematical modelling, cryptology, and security analysis. The conference has emerged as a powerful forum, bringing together leading academic scientists, experts from industry, and researchers and offering a venue to discuss, interact and collaborate to stimulate the advancement of mathematics and its applications in computer science. The education of future consumers, users, producers, developers and researchers of mathematics and its applications is an important challenge in modern society, and as such, mathematics and its application in computer science are of vital significance to all spectrums of the community, as well as to mathematicians and computing professionals across different educational levels and disciplines. With contributions by leading international experts, this book motivates and creates interest among young researchers.

Rooted in a pedagogically successful problem-solving approach to linear algebra, this work fills a gap in the literature that is sharply divided between, on the one end, elementary texts with only limited exercises and examples, and, at the other end, books too advanced in prerequisites and too specialized in focus to appeal to a wide audience. Instead, it clearly develops the theoretical foundations of vector spaces, linear equations, matrix algebra, eigenvectors, and orthogonality, while simultaneously emphasizing applications to fields such as biology, economics, computer graphics, electrical engineering, cryptography, and political science.Key features: * Intertwined discussion of linear algebra and geometry* Example-driven exposition; each section starts with a concise overview of important concepts, followed by a selection of fully-solved problems* Over 500 problems are carefully selected for instructive appeal, elegance, and theoretical importance; roughly half include complete solutions* Two or more solutions provided to many of the problems; paired solutions range from step-by-step, elementary methods whose purpose is to strengthen basic comprehension to more sophisticated, self-study manual for professional scientists and mathematicians. Complete with bibliography and index, this work is a natural bridge between pure/ applied mathematics and the natural/social sciences, appropriate for any student or researcher who needs a strong footing in the theory, problem-solving, and model-building that are the subject's hallmark. I

Today's work is characterized by a high degree of innovation and thus demands a thorough overview of relevant knowledge in the world and in organizations. Semantic Work Environments support the work of the user by collecting knowledge about needs and providing processed and improved knowledge to be integrated into work. ""Emerging Technologies for Semantic Work Environments: Techniques, Methods, and Applications"" describes an overview of the emerging field of Semantic Work Environments by combining various research studies and underlining the similarities between different processes, issues and approaches in order to provide the reader with techniques, methods, and applications of the study.

This book provides a tutorial in the use of Altair Compose and Altair Activate, software packages that provide system modeling and simulation facilities. Advanced system modeling software provide multiple ways of creating models: models can be programmed in specialized languages, graphically constructed as block-diagrams and state machines, or expressed mathematically in equation-based languages. Compose and Activate are introduced in this text in two parts. The first part introduces the multi-language environment of Compose and its use for modeling, simulation and optimization. The second describes the graphical system modeling and optimization with Activate, an open-system environment providing signal-based modeling as well as physical system component-based modeling. Throughout both parts are applied examples from mechanical, biological, and electrical systems, as well as control and signal processing systems. This book will be an invaluable addition with many examples both for those just interested in OML and those doing industrial scale modeling, simulation, and design. All examples are worked using the free basic editions of Activate and Compose that are available.

The intersection of supply chain management and e-business information systems is a significant topic for the modern business world as understanding which technologies will most effectively enable innovative practices is a key management competency. Innovations in Supply Chain Management for Information Systems: Novel Approaches presents exemplary research on the interface between these two fields, useful to academicians and practitioners keen on streamlining concurrently both information and materials flows across the supply chains. This advanced publication provides recent examinations as well as future directions of development.

This book is designed to cover three objectives. One, to provide a comprehensive resource to individuals (including novice, IT/Non-HP-UX administrators, HP-UX administrators) who intend to take the Certified System Administrator for HP-UX certification exam and pass it. Two, to provide a quick and valuable on-the-job resource to HP-UX administrators, administrators of other UNIX operating system software, IT managers, programmers, and DBAs working in the HP-UX environment. Three, to provide an easy-to-understand guide to novice and IT/non-HP-UX administrators who intend to learn HP-UX from the beginning. This book contains 33 chapters. The book is organized in such a way that it helps its audience understand concepts, implementation procedures, some basic troubleshooting, command syntax, configuration files, and daemons involved. There are three key areas: UNIX fundamentals, HP-UX system administration, and HP-UX network administration. 1.UNIX Fundamentals covers the basics of UNIX. Most information is not specific to a particular UNIX flavor, but rather includes general UNIX concepts, file manipulation and security techniques, shell and awk programming, vi editor, basic commands, and other topics. Chapters 01 through 06 and chapter 21 cover this area. Unlike many other similar books, a chapter on shell scripting is presented after covering HP-UX System Administration chapters. This is done intentionally to provide readers with some practical examples based on the knowledge they have gained from UNIX Fundamentals and HP-UX System Administration chapters. 2.HP-UX System Administration covers the HP-UX-specific system administration concepts and topics including HP-UX installation methods; software and patch management; user and group account administration; disk and device file management; LVM and file system administration; swap space and printer management; system startup and shutdown procedures; kernel reconfiguration techniques; backup, restore, and system recovery functions; job automation and process control; system logging and performance monitoring; and so on. Chapters 07 through 20 cover this area. 3.HP-UX Network Administration covers HP-UX network administration concepts and topics such as OSI and TCP/IP models; network hardware overview; LAN card administration; IP subnetting and routing techniques; network troubleshooting tools; system startup services; naming services such as DNS, NIS, and LDAP; File sharing tools viz. NFS and AutoFS; Time synchronization using NTP; internet services administration; BootP/TFTP services; system security; and so on. Chapters 22 through 33 cover this area. The beginning of each chapter highlights objectives covered. The end of each chapter includes a summary as to what is learnt in the chapter. Throughout the book tables, figures, screen shots, and examples are given to explain concepts and tasks. The output generated as a result of running commands is highlighted in light grey background to differentiate it with surrounding text. The book includes several appendices one of which contains more than 550 practice exam questions. Tables of commands, important files, and service daemons are included in separate appendices.

These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Chapters in this volume include: Similarity-based Analysis of Population Dynamics in GP Performing Symbolic Regression Hybrid Structural and Behavioral Diversity Methods in GP Multi-Population Competitive Coevolution for Anticipation of Tax Evasion Evolving Artificial General Intelligence for Video Game Controllers A Detailed Analysis of a PushGP Run Linear Genomes for Structured Programs Neutrality, Robustness, and Evolvability in GP Local Search in GP PRETSL: Distributed Probabilistic Rule Evolution for Time-Series Classification Relational Structure in Program Synthesis Problems with Analogical Reasoning An Evolutionary Algorithm for Big Data Multi-Class Classification Problems A Generic Framework for Building Dispersion Operators in the Semantic Space Assisting Asset Model Development with Evolutionary Augmentation Building Blocks of Machine Learning Pipelines for Initialization of a Data Science Automation Tool Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.

The ability to communicate with anyone at anytime, anywhere, necessitates a need to provide reliable, resilient, and sustainable applications to support the evolving uses of mobile technologies. Movement-Aware Applications for Sustainable Mobility: Technologies and Approaches focuses on the use of location sensing technology and its wider applicability in supporting sustainable mobility, and presents current research on developing innovative approaches for gathering, representing, storing and analyzing movement data sets being generated from location sensing technology. Offering a unique opportunity for learning about how different techniques are being used to develop new movement-aware applications, this reference work gives students, researchers and practitioners the opportunity to acquire new concepts in the production, awareness and use of sensors, data, and information products for supporting sustainable mobility.

As the healthcare industry continues to expand, it must utilize technology to ensure efficiencies are maintained. Healthcare needs to move in a direction where computational methods and algorithms can relieve the routine work of medical doctors, leaving them more time to carry out more important and skilled tasks such as surgery. Computational Methods and Algorithms for Medicine and Optimized Clinical Practice discusses some of the most interesting aspects of theoretical and applied research covering complementary facets of computational methods and algorithms to achieve greater efficiency and support medical personnel. Featuring research on topics such as healthcare reform, artificial intelligence, and disease detection, this book will particularly appeal to medical professionals and practitioners, hospitals, administrators, students, researchers, and academicians.

Today's enterprises are increasingly going global by becoming more distributed, leveraging resource bases in all parts of the world. Whether through offshore relationships, global support or application development programs, or linking disparate parts of organizations, enterprises are reducing costs by managing applications centrally, boosting security, and assuring network uptime. The Handbook of Research on Global Information Technology Management in the Digital Economy provides comprehensive coverage and definitions of the most important issues, concepts, trends and technologies in the field of the emerging sub-discipline of global information technology management, covering topics such as the technical platform for global IS applications, information systems projects spanning cultures, managing information technology in multidomestic/ international/global/transnational corporations, and global information technology systems and socioeconomic development in developing countries. With 25 authoratative contributions from 34 of the world's leading experts, this publication is a must-have for academic and research libraries.