Sudden Cardiac Death (SCD) is a sudden, unexpected death caused by loss of heart function (sudden cardiac arrest) and Sudden Cardiac Arrest (SCA) occurs when the electrical system to the heart malfunctions and suddenly becomes very irregular. Death can often be a result if not handled quick enough or effectively. New technologies seek to help with this issue. Data processing is a crucial step to developing prognostic models. Some of the challenges in data processing are non-linear prediction models, a large number of patients and numerous predictors with complicated correlations. In traditional hypothesis-driven statistical analysis it is difficult to overcome these challenges. Current approaches to predict cardiovascular risk fail to identify many people who would benefit from preventive treatment, while others receive unnecessary intervention. So, there is an emergent need of an adaptation of AI technologies such as Machine Learning and Deep Learning Techniques to overcome the challenges. The Machine Learning (ML) approaches have great potential in increasing the accuracy of cardiovascular risk prediction and to avoid unnecessary treatment. The application of ML techniques may have the potential to improve Heart Failure outcomes and management, including cost savings by improving existing diagnostic and treatment support systems. Moreover, ML algorithms can also be applied to predict SCD. Also, Machine Learning offers an opportunity to improve accuracy by exploiting complex interactions between risk factors. The book addresses the impact and power of technology driven approaches for prevention and detection of SCA and SCD. It will provide insights on causes and symptoms of SCA and SCD and evaluate whether AI Technologies can improve the accuracy of cardiovascular risk prediction. It will explore the current issues and future technology driven solutions for SCA and SCD prevention and detection.

This book explores new methods, architectures, tools, and algorithms for Artificial Intelligence Hardware Accelerators. The authors have structured the material to simplify readers’ journey toward understanding the aspects of designing hardware accelerators, complex AI algorithms, and their computational requirements, along with the multifaceted applications. Coverage focuses broadly on the hardware aspects of training, inference, mobile devices, and autonomous vehicles (AVs) based AI accelerators

Using the familiar software Microsoft ® Excel, this book examines the applications of complex variables. Implementation of the included problems in Excel eliminates the “black box� nature of more advanced computer software and programming languages and therefore the reader has the chance to become more familiar with the underlying mathematics of the complex variable problems. This book consists of two parts. In Part I, several topics are covered that one would expect to find in an introductory text on complex variables. These topics include an overview of complex numbers, functions of a complex variable, and the Cauchy integral formula. In particular, attention is given to the study of analytic complex variable functions. This attention is warranted because of the property that the real and imaginary parts of an analytic complex variable function can be used to solve the Laplace partial differential equation (PDE). Laplace's equation is ubiquitous throughout science and engineering as it can be used to model the steady-state conditions of several important transport processes including heat transfer, soil-water flow, electrostatics, and ideal fluid flow, among others. In Part II, a specialty application of complex variables known as the Complex Variable Boundary Element Method (CVBEM) is examined. CVBEM is a numerical method used for solving boundary value problems governed by Laplace's equation. This part contains a detailed description of the CVBEM and a guide through each step of constructing two CVBEM programs in Excel. The writing of these programs is the culminating event of the book. Students of complex variables and anyone with interest in a novel method for approximating potential functions using the principles of complex variables are the intended audience for this book. The Microsoft Excel applications (including simple programs as well as the CVBEM program) covered will also be of interest in the industry, as these programs are accessible to anybody with Microsoft Office.

Remediating Sound studies the phenomena of remixing, mashup and recomposition: forms of reuse and sampling that have come to characterise much of YouTube's audiovisual content. Through collaborative composition, collage and cover songs to reaction videos and political activism , users from diverse backgrounds have embraced the democratised space of YouTube to open up new and innovative forms of sonic creativity and push the boundaries of audiovisual possibilities. Observing the reciprocal flow of influence that runs between various online platforms, 12 chapters position YouTube as a central hub for the exploration of digital sound, music and the moving image. With special focus on aspects of networked creativity that remain overlooked in contemporary scholarship, including library music, memetic media, artificial intelligence, the sonic arts and music fandom, this volume offers interdisciplinary insight into contemporary audiovisual culture.

Updated for Excel 2016 and based on the bestselling editions from previous versions, Microsoft Excel 2016 Programming by Example with VBA, XML and ASP is a practical, how-to book on Excel programming, suitable for readers already proficient with the Excel user interface (UI). If you are looking to automate Excel routine tasks, this book will progressively introduce you to programming concepts via numerous, illustrated, hands-on exercises. Includes a comprehensive disc with source code, supplemental files, and color screen captures (Also available from the publisher for download by writing to [email protected]). More advanced topics are demonstrated via custom projects. From recording and editing a macro and writing VBA code to working with XML documents and using Classic ASP pages to access and display data on the Web, this book takes you on a programming journey that will change the way you work with Excel. The book provides information on performing automatic operations on files, folders, and other Microsoft Office applications. It also covers proper use of event procedures, testing and debugging, and guides you through programming advanced Excel features such as PivotTables, PivotCharts, and the Ribbon interface. Features: Contains 28 chapters loaded with illustrated ""Hands-On"" exercises and projects that guide you through the VBA programming language. Each example tells you exactly where to enter code, how to test it and then run it. Includes a comprehensive disc with source code, supplemental files, and color screen captures (Also available from the publisher for download by writing to [email protected]). Takes you from introductory topics--including recording and editing macros, using variables, and constants, writing subroutines/functions, conditional statements, and various methods of coding loops to repeat actions--to intermediate and advanced topics that include working with collections, class modules, arrays, file and database access, custom forms, error handling and debugging. Includes comprehensive coverage of native file handling in VBA, Windows Scripting Host (WSH), and low-level File Access. Demonstrates how to interact with Microsoft Access databases using both ADO and DAO Object Libraries to access and manipulate data. Includes chapters on programming charts, PivotTables, dialog boxes, custom forms, the Ribbon, Backstage View, context/shortcut menu customizations, as well as proper use of event procedures and callbacks. Provides a quick Hands-On introduction to the data analysis and transformation process using the new Excel 2016 Get & Transform feature and the ""M"" language formulas. Provides a practical coverage of using Web queries, HTML, XML, and VBScript in Classic ASP to retrieve and publish Excel data to the Web. On The Companion Files: All source code and supplemental files for the Hands-On exercises and custom projects All images from the text (including 4-color screenshots)

Including the latest Microsoft 365 features and enhanced support for Mac users, Cengage's Technology for Success and Illustrated Series® Collection, Microsoft® 365® & Office® 2021, 1st edition, helps you quickly master the nuances of Microsoft® Office. Its concise, student-friendly approach uses a proven two-page layout that allows you to work through an entire task without turning the page. Each module begins with a brief overview of the principles covered while large, full-color screen images illustrate what you see on your computer. Module Learning Objectives are mapped to Microsoft Office Specialist (MOS) certification objectives, and module scenarios are based on Burning Glass market insights data -- helping you sharpen the critical skills you need for real-world success. In addition, MindTap and SAM (Skills Assessment Manager) online resources help maximize your study time -- and results.

This book presents contextualised and detailed research on Artificial Intelligence (AI) and the Global South. It examines the key challenges of these emerging and least industrialised countries while proffering holistic and comprehensive solutions. The book then explains how AI, as part of these broad interventions, can drive Global South economies to achieve inclusive development and shared prosperity. The book outlines how countries can swiftly prepare to adopt and develop AI across all sectors. It presents novel national, regional, and continental AI adoption, development, and implementation frameworks.

Features:

• Broad non-AI interventions and prescriptions to address Global South challenges
• A comprehensive but accessible introduction to AI concepts, technology, infrastructure, systems, and innovations such as AlphaFold, ChatGPT-4, and DeepSeek-R1
• An overview of AI-related technologies such as quantum computing, battery energy storage systems, 3D printing, nanotechnology, IoT, and blockchain
• How to prepare emerging economies to unlock the benefits of AI while mitigating the risks
• Discussion of specific AI applications in 11 critical Global South sectors
• Details of 11 sector case studies of AI adoption in the Global South and Global North
• Ten country case studies: Sharing emergent AI experiences in the Global South
• AI adoption framework: vision, strategy, policy, governance, legislation/regulation, and implementation matrix
• A framework for democratising and decolonising AI
• The value proposition for AI research, development, and ownership in the Global South
• A case for the participation of the Global South in the AI semiconductor industry