Focusing on the essential information you need to know for successful patient care, The Washington Manual® of Medical Therapeutics, 37th Edition, provides concise, high-yield content that reflects today’s fast-changing advances in medical technology and therapeutics. Written by Washington University chief residents who are assisted by faculty co-authors, it presents brief, logical approaches to diagnosis and management of commonly encountered medical conditions, including new therapies that improve patient outcomes. Discover why housestaff and faculty worldwide depend on this best-selling resource for day-to-day clinical practice in internal medicine.  Provides complete coverage of every area of medicine and the core subspecialties—all at your fingertips for quick review and reference  Features a newly concise, more colorful presentation with easy-to-follow guidelines, tables, diagrams, dosing, and treatment information  Includes more infographics and algorithms for fast visual guidance  Addresses everyday challenges faced by residents, interns, medical students, and other practitioners  Edited by Internal Medicine Chief Residents from the Washington University School of Medicine and Barnes-Jewish Hospital in St. Louis  The Washington Manual® is a registered mark belonging to Washington University in St. Louis to which international legal protection applies. The mark is used in this publication by WoltersKluwer Health under license from Washington University.   Enrich Your eBook Reading Experience  Read directly on your preferred device(s), such as computer, tablet, or smartphone.  Easily convert to audiobook, powering your content with natural language text-to-speech. 

With the increase in the development of the advanced cellular communication system, it is assumed that several sectors, such as the health industry, education, transport industry, business model, and so on, will rapidly grow. However, the requirements of the above-mentioned sectors are different and difficult to fulfill. Hence, 5G will be integral to several networks and will also need a unique management system for its successful rollout around the globe. 5G-Based Smart Hospitals and Healthcare Systems: Evaluation, Integration, and Deployment provides an overview of the role of advanced technologies in transforming the healthcare industry. It emphasizes the technical requirements of smart hospitals and the technologies associated with them along with explaining how technologies such as IoT, machine learning, and AI can be integrated with smart hospitals and 5G networks. The book evaluates several concerns such as privacy of data, infrastructure costs, and regular upgradability of technologies. Since the storage of information is a major concern with the implantation of 5G-base hospitals, this book will specifically address those issues along with examining the potential pitfalls of 5G-based hospitals and the factors that cause their failures. This book specifically targets professionals, academicians, engineers, researchers, management firms, technical institutes, R&D establishments, and individuals researching in the fields of 5G, healthcare, medical sensors, IoT, big data, and related fields. The main objectives of this book are to accumulate state-of-the-art IoT, 5G, AI, and machine learning-based approaches for resolving healthcare problems.

This new volume offers a variety of perspectives from investigators, industry professionals, stakeholders, and economic strategists that look at new ways of solving optimization problems related to different industrial sectors. Case studies relay how optimization methods deal with both real operative conditions in process industries and in service industries. The volume also explores emerging research areas toward the implementation of optimization algorithms for enhancement of system performance as well as system effectiveness. The book explores the role of optimization methods in engineering applications in industrial and mechanical engineering as well as in the fields of healthcare/medicine, food production, oil, textiles, energy, and agriculture. The volume offers new ways of solving optimization problems related to different industrial sectors, incorporating mathematical formulation for particular design problems and thus aiding the selection of the optimal design among many alternatives. It shows optimization methods that deal with actual operative conditions both in process and in service industries. A unique advantage of this volume is its wide range of topics in different engineering domains using novel mathematical modeling-based optimization methods for solving the real-life problems. The array of examples and case studies of the effective use of optimization in diverse areas of engineering include healthcare analysis and monitoring (fetal phonocardiography), medical device design (3D printing design for protheses), agriculture/farming (monitoring climate conditions), environmental science (waste management), automotive and aeronautic design, industrial manufacturing, solar energy, and more. Key features: Presents case studies on optimization problems related to industry Discusses case studies on operations management practices optimization Provides an overview of design optimization Highlights case studies on process optimization Assesses different techniques for handling engineering problems This valuable book will be useful for researchers, scientists, faculty, and students involved or interested in the field of optimization engineering in industrial design.

This book offers insights into social media practices and challenges in developing nations during the COVID-19 pandemic. covers different aspects of social media during the pandemic offers new frameworks, concepts, tools and techniques for integrating social media to support national development. chapters (from a global team of scholars) address the different aspects of social media during pandemic by looking at ICT for development and how development agencies have used social media platforms, before looking at engagement with these social media campaigns and the spread of misinformation. chapters cover the practical uses of social media in healthcare and virtual medicine, mental health issues and challenges, remote education, and government policies. will be of interest to scholars and students of social media, health communication, global development studies and NGO communication.

Discusses importance of data analytics in industrial operation for improving economy. Provides step-by-step implementation of operation management models for identifying best practices. Covers in-depth analysis using data-based operation management tools and techniques. Discusses mathematical modelling for novel operation management models for solving industrial problems.

The Washington Manual (R) of Medical Therapeutics, 37th Edition, provides essential information you need for successful patient care, with concise, high-yield content that reflects today's fast-changing advances in medical technology and therapeutics. Written by faculty, residents, and fellows and edited by chief residents of the distinguished Washington University School of Medicine in St. Louis, the Washington Manual presents brief, logical approaches to diagnosis and management of commonly encountered medical conditions, including new therapies that improve patient outcomes. Discover why housestaff and faculty around the world depend on this best-selling resource for day-to-day clinical practice in internal medicine. Provides comprehensive coverage of many areas of medicine and the core subspecialties-all at your fingertips for quick review and reference Features a new, colorful presentation with easy-to-follow guidelines, tables, diagrams, and dosing and treatment information Includes easy-to-use algorithms for fast visual guidance Addresses challenges that residents, interns, medical students, and other practitioners confront every day Features content carefully edited by Internal Medicine Chief Residents from the Washington University School of Medicine and Barnes-Jewish Hospital in St. Louis The Washington Manual (R) is a registered mark belonging to Washington University in St. Louis to which international legal protection applies. The mark is used in this publication by Wolters Kluwer Health under license from Washington University. Enrich Your eBook Reading Experience Read directly on your preferred device(s), such as computer, tablet, or smartphone. Easily convert to audiobook, powering your content with natural language text-to-speech.

This book addresses reliability, maintenance, risk, and safety issues of industrial systems with applications of the latest decision-making techniques. Thus, this book presents chapters that apply advanced tools, techniques, and computing models for optimizing the performance of industrial and manufacturing systems, along with other complex engineering equipment. Computing techniques like data analytics, failure mode and effects analysis, fuzzy set theory, petri-net, multi-criteria decision-making (MCDM), and soft computing are used for solving problems of reliability, risk, and safety related issues.

This book comprehensively covers the different topics of wood polymer composite materials mainly synthesis methods for the composite materials, various characterization techniques to study the superior properties and insights on potential advanced applications. It also discusses the chemistry, fabrication process, properties, applications, recycling and life cycle assessment of wood polymer composites. This is a useful reference source for both engineers and researchers working in composite materials science as well as the students attending materials science, physics, chemistry and engineering courses.

This book presents best selected papers presented at the International Conference on Paradigms of Computing, Communication and Data Sciences (PCCDS 2020), organized by National Institute of Technology, Kurukshetra, India, during 1-3 May 2020. It discusses high-quality and cutting-edge research in the areas of advanced computing, communications and data science techniques. The book is a collection of latest research articles in computation algorithm, communication and data sciences, intertwined with each other for efficiency.

This book focuses on the application of microbes in all fields of biology. There is an urgent need to understand and explore new microbes, their biological activities, genetic makeup and further opportunities for utilizing them. The book is divided into sections, highlighting the application of microbes in agriculture, nanotechnology, genetic engineering, bioremediation, industry, medicine and forensic sciences, and describing potential future advances in these fields. It also explores the potential role of microbes in space and how they might support life on a different planet.

This book addresses reliability, maintenance, risk, and safety issues of industrial systems with applications of the latest decision-making techniques. Thus, this book presents chapters that apply advanced tools, techniques, and computing models for optimizing the performance of industrial and manufacturing systems, along with other complex engineering equipment. Computing techniques like data analytics, failure mode and effects analysis, fuzzy set theory, petri-net, multi-criteria decision-making (MCDM), and soft computing are used for solving problems of reliability, risk, and safety related issues.

This book comprehensively covers the different topics of wood polymer composite materials mainly synthesis methods for the composite materials, various characterization techniques to study the superior properties and insights on potential advanced applications. It also discusses the chemistry, fabrication process, properties, applications, recycling and life cycle assessment of wood polymer composites. This is a useful reference source for both engineers and researchers working in composite materials science as well as the students attending materials science, physics, chemistry and engineering courses.

This book presents best selected papers presented at the International Conference on Paradigms of Computing, Communication and Data Sciences (PCCDS 2020), organized by National Institute of Technology, Kurukshetra, India, during 1-3 May 2020. It discusses high-quality and cutting-edge research in the areas of advanced computing, communications and data science techniques. The book is a collection of latest research articles in computation algorithm, communication and data sciences, intertwined with each other for efficiency.

Leverage the benefits of both client-side and server-side rendering to get the most out of your React applications. By the end of this book you will be able to build and deploy React applications using the Next.js framework to fully render server-side HTML on every Web page. You'll begin by reviewing JavaScript fundamentals and how they work with the core principles of React. You'll then move on to Next.js, the React framework for server-rendered applications. Using this framework, you will create a fast and secure solutional React application that renders content on the server-side, protects sensitive information, and optimizes response times. Before deploying the application using Docker containers, you'll create automated unit tests to verify that every component is appropriately doing its job Building React Apps with Server-Side Rendering also covers other fun and interesting topics such as Bootstrap 4, JSX (JavaScript XML), adding styling to your React applications, and much more. By the end of this book, you will be able to build and deploy React applications that fully render server-side HTML on every page. In the end you'll have a client-side rendered React application that integrates server-side rendering into it using Next.js framework. What You'll Learn Examine fundamental concepts of JavaScript (ES 2015) Create client-side apps using JavaScript frameworks React and Redux Add server-side rendering to React apps using the NextJS Framework Who This Book Is For Web developers who have prior experience in working with JavaScript, HTML and CSS, who wish to step up a level and create better web applications using modern JavaScript frameworks like React, Reduct & Next.

This comprehensive book grants readers exclusive insight into current advancements in the field of osteoarthritis (OA). Contributions from leading scientists and clinicians provide a detailed introduction into current understanding of the pathogenesis of OA, different joint structures affected by this debilitating disease (hip, knee, elbow, shoulder, foot, ankle, hand, wrist, and spine), current knowledge and practice in imaging, joint conservative strategies, OA biomarkers as well as currently available treatments, their safety profile and future therapeutic targets. This book further discusses the potential of regenerative therapies and recent advances in OA Personalized Medicine, and how collection of OA patient’s phenotypic, genetic and proteomic data is able to direct treatment strategies through Bio-Informatics.

The availability of inexpensive, custom, highly integrated circuits is enabling some very powerful systems that bring together sensors, smart phones, wearables, cloud computing, and other technologies. To design these types of complex systems we are advocating a top-down simulation methodology to identify problems early. This approach enables software development to start prior to expensive chip and hardware development. We call the overall approach virtual design. This book explains why simulation has become important for chip design and provides an introduction to some of the simulation methods used. The audio lifelogging research project demonstrates the virtual design process in practice. The goals of this book are to: explain how silicon design has become more closely involved with system design; show how virtual design enables top down design; explain the utility of simulation at different abstraction levels; show how open source simulation software was used in audio lifelogging. The target audience for this book are faculty, engineers, and students who are interested in developing digital devices for Internet of Things (IoT) types of products.

This book highlights the complex issues, tasks and skills that must be mastered by an IP designer, in order to design an optimized and robust digital circuit to solve a problem. The techniques and methodologies described can serve as a bridge between specifications that are known to the designer and RTL code that is final outcome, reducing significantly the time it takes to convert initial ideas and concepts into right-first-time silicon. Coverage focuses on real problems rather than theoretical concepts, with an emphasis on design techniques across various aspects of chip-design.

Bioresorbable Polymers and their Composites: Characterization and Fundamental Processing for Pharmaceutical and Medical Device Development provides a holistic view of these unique materials and their usage in a range of biomedical applications. The book is evenly divided between fundamentals, processing methods and modeling approaches, and includes detailed coverage of a variety of applications, such as drug delivery, medical devices and wound healing. Key aspects including biocompatibility, biodegradability and toxicology are also thoroughly covered, enabling the reader to be fully informed when fabricating and utilizing their selected bioresorbable polymer. This book is an interdisciplinary and important reference for researchers in the fields of materials science, biomedical engineering, pharmaceutical science and regenerative medicine, as well as R&D groups in the development of medical devices.

This book highlights the complex issues, tasks and skills that must be mastered by an IP designer, in order to design an optimized and robust digital circuit to solve a problem. The techniques and methodologies described can serve as a bridge between specifications that are known to the designer and RTL code that is final outcome, reducing significantly the time it takes to convert initial ideas and concepts into right-first-time silicon. Coverage focuses on real problems rather than theoretical concepts, with an emphasis on design techniques across various aspects of chip-design.

Interest in constrained optimization originated with the simple linear pro gramming model since it was practical and perhaps the only computationally tractable model at the time. Constrained linear optimization models were soon adopted in numerous application areas and are perhaps the most widely used mathematical models in operations research and management science at the time of this writing. Modelers have, however, found the assumption of linearity to be overly restrictive in expressing the real-world phenomena and problems in economics, finance, business, communication, engineering design, computational biology, and other areas that frequently demand the use of nonlinear expressions and discrete variables in optimization models. Both of these extensions of the linear programming model are NP-hard, thus representing very challenging problems. On the brighter side, recent advances in algorithmic and computing technology make it possible to re visit these problems with the hope of solving practically relevant problems in reasonable amounts of computational time. Initial attempts at solving nonlinear programs concentrated on the de velopment of local optimization methods guaranteeing globality under the assumption of convexity. On the other hand, the integer programming liter ature has concentrated on the development of methods that ensure global optima. The aim of this book is to marry the advancements in solving nonlinear and integer programming models and to develop new results in the more general framework of mixed-integer nonlinear programs (MINLPs) with the goal of devising practically efficient global optimization algorithms for MINLPs."

Interest in constrained optimization originated with the simple linear pro gramming model since it was practical and perhaps the only computationally tractable model at the time. Constrained linear optimization models were soon adopted in numerous application areas and are perhaps the most widely used mathematical models in operations research and management science at the time of this writing. Modelers have, however, found the assumption of linearity to be overly restrictive in expressing the real-world phenomena and problems in economics, finance, business, communication, engineering design, computational biology, and other areas that frequently demand the use of nonlinear expressions and discrete variables in optimization models. Both of these extensions of the linear programming model are NP-hard, thus representing very challenging problems. On the brighter side, recent advances in algorithmic and computing technology make it possible to re visit these problems with the hope of solving practically relevant problems in reasonable amounts of computational time. Initial attempts at solving nonlinear programs concentrated on the de velopment of local optimization methods guaranteeing globality under the assumption of convexity. On the other hand, the integer programming liter ature has concentrated on the development of methods that ensure global optima. The aim of this book is to marry the advancements in solving nonlinear and integer programming models and to develop new results in the more general framework of mixed-integer nonlinear programs (MINLPs) with the goal of devising practically efficient global optimization algorithms for MINLPs."

Over the past few years, the demand for data traffic has experienced explosive growth thanks to the increasing need to stay online. New applications of communications, such as wearable devices, autonomous systems, drones, and the Internet of Things (IoT), continue to emerge and generate even more data traffic with vastly different performance requirements. With the COVID-19 pandemic, the need to stay online has become even more crucial, as most of the fields, would they be industrial, educational, economic, or service-oriented, had to go online as best as they can. As the data traffic is expected to continuously strain the capacity of future communication networks, these networks need to evolve consistently in order to keep up with the growth of data traffic. Thus, more intelligent processing, operation, and optimization will be needed for tomorrow’s communication networks. The Sixth Generation (6G) technology is latest approach for mobile systems or edge devices in terms of reduce traffic congestions, energy consumption blending with IoT devices applications.  The 6G network works beyond the 5G (B5G), where we can use various platforms as an application e.g. fog computing enabled IoT networks, Intelligent techniques for SDN network, 6G enabled healthcare industry, energy aware location management. Still this technology must resolve few challenges like security, IoT enabled trust network. This book will focus on the use of AI/ML-based techniques to solve issues related to 6G enabled networks, their layers, as well as their applications. It will be a collection of original contributions regarding state-of-the-art AI/ML-based solutions for signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction 6G enabled software-defined networking, congestion control, communication network optimization, security, and anomaly detection. The proposed edited book emphasis on the 6G network blended with Fog-IoT networks to introduce its applications and future perspectives that helps the researcher to apply this technique in their domain and it may also helpful to resolve the challenges and future opportunities with 6G networks.

This book gathers selected high-quality research papers presented at the International Conference on Paradigms of Communication, Computing and Data Sciences (PCCDS 2021), held at the National Institute of Technology, Kurukshetra, India, during May 07-09, 2021. It discusses high-quality and cutting-edge research in the areas of advanced computing, communications, and data science techniques. The book is a collection of latest research articles in computation algorithm, communication, and data sciences, intertwined with each other for efficiency.

In order to deal with the societal challenges novel technology plays an important role. For the advancement of technology, Department of Industrial and Production Engineering under the aegis of NIT Jalandhar is organizing an "International Conference on Industrial and Manufacturing Systems" (CIMS-2020) from 26th -28th June, 2020. The present conference aims at providing a leading forum for sharing original research contributions and real-world developments in the field of Industrial and Manufacturing Systems so as to contribute its share for technological advancements. This volume encloses various manuscripts having its roots in the core of industrial and production engineering. Globalization provides all around development and this development is impossible without technological contributions. CIMS-2020, gathered the spirits of various academicians, researchers, scientists and practitioners, answering the vivid issues related to optimisation in the various problems of industrial and manufacturing systems.