C++ 11 delivered strong support for multithreaded applications, and the subsequent C++14 and 17 updates have built on this baseline. C++ has better options for concurrency than ever before, which means it's an incredibly powerful option for multicore and parallel applications. This bestseller has been updated and revised to cover all the latest changes to C++ 14 and 17! C++ Concurrency in Action, Second Edition teaches readers everything they need to write robust and elegant multithreaded applications in C++17. Along the way, they’ll learn how to navigate the trickier bits of programming for concurrency while avoiding the common pitfalls. KEY FEATURES • Completely updated • Hands-on learning • In depth guide Written for C++ programmers who are new to concurrency and others who may have written multithreaded code using other languages, APIs, or platforms. ABOUT THE TECHNOLOGY Concurrency in terms of computers is a single system performing multiple independent activities in parallel, rather than sequentially, or one after the other. AUTHOR BIO Anthony Williams is a UK-based developer and consultant with many years' experience in C++. He has been an active member of the BSI C++ Standards Panel since 2001, and is the author or co-author of many of the C++ Standards Committee papers that led up to the inclusion of the thread library in the C++11 Standard. He was the maintainer of the Boost Thread library, and is the developer of the just::thread Pro extensions to the C++11 thread library from Just Software Solutions Ltd.

Biomedical Image Synthesis and Simulation: Methods and Applications presents the basic concepts and applications in image-based simulation and synthesis used in medical and biomedical imaging. The first part of the book introduces and describes the simulation and synthesis methods that were developed and successfully used within the last twenty years, from parametric to deep generative models. The second part gives examples of successful applications of these methods. Both parts together form a book that gives the reader insight into the technical background of image synthesis and how it is used, in the particular disciplines of medical and biomedical imaging. The book ends with several perspectives on the best practices to adopt when validating image synthesis approaches, the crucial role that uncertainty quantification plays in medical image synthesis, and research directions that should be worth exploring in the future.

BLOCKCHAIN TECHNOLOGY IN CORPORATE GOVERANCE This book investigates the recent applications of blockchain technology in financial services, energy sector, and summarizes regulatory responses, to set the scene for future work on corporate governance. This edited book highlights the current governance framework for the blockchain and its development as a self-governing framework. It discusses blockchain technology's effectiveness in developing solutions for supply chains, trade finance, and banking. Moreover, it shows how banking and financial institutions are the major beneficiaries of this decentralized technology. Furthermore, the book outlines the link between company governance theories, regulatory, ethical, and social controls, and blockchain adoption. It also investigates the recent applications of blockchain technology in financial services, the health sector, and the energy sector. Audience The book is specially designed for researchers, industrialists, engineers, graduate students, and policymakers, who aspire to learn, discuss, and carry out further research into the opportunities offered by blockchain and the possible ways of regulating it.

Machine Learning for Planetary Science presents planetary scientists with a way to introduce machine learning into the research workflow as increasingly large nonlinear datasets are acquired from planetary exploration missions. The book explores research that leverages machine learning methods to enhance our scientific understanding of planetary data and serves as a guide for selecting the right methods and tools for solving a variety of everyday problems in planetary science using machine learning. Illustrating ways to employ machine learning in practice with case studies, the book is clearly organized into four parts to provide thorough context and easy navigation. The book covers a range of issues, from data analysis on the ground to data analysis onboard a spacecraft, and from prioritization of novel or interesting observations to enhanced missions planning. This book is therefore a key resource for planetary scientists working in data analysis, missions planning, and scientific observation.

The Designer's Guide to the Cortex-M Microcontrollers, Third Edition provides an easy-to-understand introduction to the concepts required to develop programs in C with a Cortex-M based microcontroller. Sections cover architectural descriptions that are supported with practical examples, enabling readers to easily develop basic C programs to run on the Cortex-M0/M0+/M3 and M4 and M7 and examine advanced features of the Cortex architecture, such as memory protection, operating modes and dual stack operation. Final sections examine techniques for software testing and code reuse specific to Cortex-M microcontrollers. Users will learn the key differences between the Cortex-M0/M0+/M3 and M4 and M7; how to write C programs to run on Cortex-M based processors; how to make the best use of the CoreSight debug system; the Cortex-M operating modes and memory protection; advanced software techniques that can be used on Cortex-M microcontrollers, and much more.

Emerging technologies in education are dramatically reshaping the way we teach, learn, and create meaning-both formally and informally. The use of emerging technologies within educational contexts requires new methodological approaches to teaching, learning, and educational research. This leads educational technology developers, researchers, and practitioners to engage in the creation of diverse digital learning tools that can be used in a wide range of learning situations and scenarios. Ultimately, the goal of today's digital learning experiences includes situational experiences wherein learners and teachers symbiotically enroll in meaning-making processes. Discussion, critical reflection, and critique of these emerging technologies, tools, environments, processes, and practices require scholars to involve themselves in critical conversation about the challenges and promises afforded by emerging technologies and to engage in deliberate thinking about the critical aspects of these emerging technologies that are drastically reshaping education. Global Education and the Impact of Institutional Policies on Educational Technologies deepens this discussion of emerging technologies in educational contexts and is centered at the intersection of educational technology, learning sciences, and socio-cultural theories. This book engages a critical conversation that will further the discussion about the pedagogical potential of emerging technologies in contemporary classrooms. Covering topics such as communication networks, online learning environments, and preservice teacher education, this text is an essential resource for educational professionals, preservice teachers, professors, teachers, students, and academicians.

If you're a software developer who has ever felt frustrated because you're missing the skills to work fluidly and efficiently on the command line, this book is for you Key Features * A practical, no-nonsense guide specifically written for developers (not sysadmins) who need to quickly learn command-line skills * Expand your practical skills and look like a wizard on the command line * Build practical skills to work effectively with the most common CLI and Unix-like systems Book Description Developers are always working with the operating system, yet most of them are incredibly uncomfortable with the Linux command line. This book is the bridge that will take you to the next level in your software development career. Most of the skills in the book can be immediately practiced on your Mac OS, Linux, or Windows machine. It's written specifically for software engineers, not Linux system administrators, so each chapter will equip you with just enough theory to understand what you're doing before diving into practical commands that you can use in your day-to-day work as a software developer. As you work through the book, you will quickly get comfortable with the basics of moving around on the command line. Once you've got the core skills, you'll see how to apply them in different contexts that you'll come across as a software developer: building and working with Docker images, spinning up applications on cloud instances, and troubleshooting issues in production environments. By the end of the book, you'll be able to use Linux and the command line comfortably, and apply your newfound skills in your day-to-day work to save time, troubleshoot issues, and be the resident command-line wizard on your team. What you will learn * Learn useful command-line tricks and tools that make software development, testing, and troubleshooting easy * Understand how Linux and command-line environments actually work * Avoid common bugs, security issues, and misunderstandings that most developers run into * Discover Linux utilities that are useful for developers (not just sysadmins), and learn how to quickly chain them together to create powerful, customized tools that can save you thousands of lines of code * Gain context and awareness of how your applications run inside common runtime environments, from Docker to modern public cloud infrastructure * Become better equipped to handle common bugs and troubleshooting situations that stump other developers * Learn powerful CLI shortcuts and utilities to expand your practical skills and look like a wizard on the command line Who This Book Is For This book is for software developers who want to understand Command-Line (CLI) and who want to quickly fill the gap to advance their skills and their career. Basic knowledge of editing text, working with files and folders, having some idea of what "operating systems" are, installing software, and using a development environment is assumed.

A level of decision making is concerned with deciding the organization's objectives, resources, and policies. A significant problem at this decision-making level is predicting the organization's future and its environment as well as matching the organization's characteristics to that environment. This process generally involves technology and knowledge from the market and clients. In the current era, the implementation of marketing information systems supported with AI techniques is crucial to being a unique opportunity to leverage marketing strategies with cutting-edge technologies. Global Perspectives on the Strategic Role of Marketing Information Systems communicates the recent advances in marketing information systems. Covering topics such as digital entrepreneurship, international business, and micro and small enterprises, this premier reference source is a cutting-edge resource for marketers, entrepreneurs, business leaders and managers, IT managers, students and educators of higher education, librarians, researchers, and academicians.

Network Science Network Science offers comprehensive insight on network analysis and network optimization algorithms, with simple step-by-step guides and examples throughout, and a thorough introduction and history of network science, explaining the key concepts and the type of data needed for network analysis, ensuring a smooth learning experience for readers. It also includes a detailed introduction to multiple network optimization algorithms, including linear assignment, network flow and routing problems. The text is comprised of five chapters, focusing on subgraphs, network analysis, network optimization, and includes a list of case studies, those of which include influence factors in telecommunications, fraud detection in taxpayers, identifying the viral effect in purchasing, finding optimal routes considering public transportation systems, among many others. This insightful book shows how to apply algorithms to solve complex problems in real-life scenarios and shows the math behind these algorithms, enabling readers to learn how to develop them and scrutinize the results. Written by a highly qualified author with significant experience in the field, Network Science also includes information on: Sub-networks, covering connected components, bi-connected components, community detection, k-core decomposition, reach network, projection, nodes similarity and pattern matching Network centrality measures, covering degree, influence, clustering coefficient, closeness, betweenness, eigenvector, PageRank, hub and authority Network optimization, covering clique, cycle, linear assignment, minimum-cost network flow, maximum network flow problem, minimum cut, minimum spanning tree, path, shortest path, transitive closure, traveling salesman problem, vehicle routing problem and topological sort With in-depth and authoritative coverage of the subject and many case studies to convey concepts clearly, Network Science is a helpful training resource for professional and industry workers in, telecommunications, insurance, retail, banking, healthcare, public sector, among others, plus as a supplementary reading for an introductory Network Science course for undergraduate students.

This book will help you become the trader you want to be, but it won't happen automatically. You won't be immediately successful the moment you finish reading.

Earning money with day trading is possible, but it takes time, discipline, effort and commitment on your part.Let me explain. Throughout the book, you will learn key concepts that you can apply to your trading right away. The knowledge you accumulate is essential because it is what you base your trading decisions on, the decisions that will determine your ultimate success or failure.

One of my key goals in this book is to help you expand your tradingknowledge to make informed decisions. I will provide you with many valuable resources to help you learn what you need to know.At the end of each chapter you will find "Action Actions", exercises related to the topics recently covered. If you want to get the most out of this book, take a few minutes to complete these Actions. The results you will get will, in most cases, be directly proportional to the effort and commitment you invest in creating them.

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Intelligent Nanotechnology: Merging Nanoscience and Artificial Intelligence provides an overview of advances in science and technology made possible by the convergence of nanotechnology and artificial intelligence (AI). Sections focus on AI-enhanced design, characterization and manufacturing and the use of AI to improve important material properties, with an emphasis on mechanical, photonic, electronic and magnetic properties. Designing benign nanomaterials through the prediction of their impact on biology and the environment is also discussed. Other sections cover the use of AI in the acquisition and analysis of data in experiments and AI technologies that have been enhanced through nanotechnology platforms. Final sections review advances in applications enabled by the merging of nanotechnology and artificial intelligence, including examples from biomedicine, chemistry and automated research.

Case Studies in Geospatial Applications to Groundwater Resources provides thorough the most up-to-date techniques in GIS and geostatistics as they relate to groundwater, through detailed case studies that prove real-world applications of remote sensing applications to this subject. Groundwater is the primary source of fresh water in many parts of the world, while come regions are becoming overly dependent on it, consuming groundwater faster than it is naturally replenished and causing water tables to decline unremittingly. India is the largest user of groundwater in the world followed by China and the USA, with developing countries using groundwater at an unsustainable rate. Systematic planning of groundwater usage using modern techniques is essential for the proper utilization, management and modeling of this precious but shrinking natural resource. With the advent of powerful and highspeed personal computers, efficient techniques for water management have evolved, of which remote sensing, GIS (Geographic Information Systems), GPS (Global Positioning Systems) and Geostatistical techniques are of great significance. This book advances the scientific understanding, development, and application of geospatial technologies related to water resource management. Case Studies in Geospatial Applications to Groundwater Resources is a valuable reference for researchers and postgraduate students in Earth and Environmental Sciences, especially GIS, agriculture, hydrology, natural resources, and soil science, who need to be able to apply the latest technologies in groundwater research in a practical manner.

The Beginnings of Electron Microscopy - Part 2, Volume 221 in the Advances in Imaging and Electron Physics series, highlights new advances in the field, with this new volume presenting interesting chapters on Recollections from the Early Years: Canada-USA, My Recollection of the Early History of Our Work on Electron Optics and the Electron Microscope, Walter Hoppe (1917-1986), Reminiscences of the Development of Electron Optics and Electron Microscope Instrumentation in Japan, Early Electron Microscopy in The Netherlands, L. L. Marton, 1901-1979, The Invention of the Electron Fresnel Interference Biprism, The Development of the Scanning Electron Microscope, and much more.

Advances in Computers, Volume 127 presents innovations in computer hardware, software, theory, design and applications, with this updated volume including new chapters on Edge AI, Edge Computing, Edge Analytics, Edge Data Analytics, Edge Native Applications, Edge Platforms, Edge Computing, IoT, Internet of Things, etc.

Cyber security is a key focus in the modern world as more private information is stored and saved online. In order to ensure vital information is protected from various cyber threats, it is essential to develop a thorough understanding of technologies that can address cyber security challenges. Artificial intelligence has been recognized as an important technology that can be employed successfully in the cyber security sector. Due to this, further study on the potential uses of artificial intelligence is required. The Handbook of Research on Cyber Security Intelligence and Analytics discusses critical artificial intelligence technologies that are utilized in cyber security and considers various cyber security issues and their optimal solutions supported by artificial intelligence. Covering a range of topics such as malware, smart grid, data breachers, and machine learning, this major reference work is ideal for security analysts, cyber security specialists, data analysts, security professionals, computer scientists, government officials, researchers, scholars, academicians, practitioners, instructors, and students.