تحسين النتائح
ترتيب حسب
من
الى
الصفحة 4
الصفحة 4
Aging Well : Solutions to the Most Pressing Global Challenges of Aging
Outlines the challenges of supporting the health and wellbeing of older adults around the world and offers examples of solutions designed by stakeholders, healthcare providers, and public, private and nonprofit organizations in the United States. The solutions presented address challenges including: providing person-centered long-term care, making palliative care accessible in all healthcare settings and the home, enabling aging-in-place, financing long-term care, improving care coordination and access to care, delivering hospital-level and emergency care in the home and retirement community settings, merging health and social care, supporting people living with dementia and their caregivers, creating communities and employment opportunities that are accessible and welcoming to those of all ages and abilities, and combating the stigma of aging. The innovative programs of support and care in Aging Well serve as models of excellence that, when put into action, move health spending toward a sustainable path and greatly contribute to the well-being of older adults.
Advances in Radiation Oncology in Lung Cancer
This volume is unique in being devoted solely to the radiation oncology of lung cancer, and will be of great value to all who are involved in the diagnosis and treatment of the disease. Both non-small cell and small cell lung cancer are considered in detail. Current state of the art treatment strategies and novel approaches that promise further improvements in outcome are explained and evaluated, with the aid of high-quality illustrations. Treatment-related toxicity is discussed, and further individual chapters focus on topics such as quality of life studies, prognostic factors and pitfalls in the design and analysis of clinical trials.
Advances in Metallodrugs : Preparation and Applications in Medicinal Chemistry
This book is organized into 12 important chapters that focus on the progress made by metal-based drugs as anticancer, antibacterial, antiviral, anti-inflammatory, and anti-neurodegenerative agents, as well as highlights the application areas of newly discovered metallodrugs. It can prove beneficial for researchers, investigators and scientists whose work involves inorganic and coordination chemistry, medical science, pharmacy, biotechnology and biomedical engineering
Advances in Bioactivation Research
This volume provides researchers with recent information on bioactivation reactions of drugs and toxicants. In other sections, focus is on recent applications of bioactivation research in pharmacology, toxicology, and environmental health sciences, where contributors demonstrate the integration of bioactivation research.
Addition Reactions with Unsaturated Hydrocarbons
Addition Reactions with Unsaturated Hydrocarbons presents an up-to-date overview of modern methods that utilize reactions of unsaturated hydrocarbons as building blocks of organic synthesis, covering the conceptual and practical knowledge required for designing atom-efficient reactions to synthesize functionalized molecules. This authoritative volume discusses homo-dimerization and cross-dimerization of alkynes and/or alkenes, synthesis of carbonyl compounds from the hydration of alkynes, cycloadditions of alkynes and alkenes for the synthesis of carbocycles and heterocycles.
Acute coronary syndrome : Multidisciplinary and pathway-based approach
Acute coronary syndrome (ACS) affects millions of patients annually and requires immediate diagnosis and therapy. This practical algorithm-based handbook addresses the diagnosis and treatment of these patients and is designed for the medical personnel involved in the triage and management of ACS patients.
Accelerated Partial Breast Irradiation : Techniques and Clinical Implementation
Accelerated partial breast irradiation (APBI) is being rapidly introduced into the clinical management of early breast cancer. APBI, in fact, encompasses a number of different techniques and approaches that include brachytherapy, intraoperative, and external beam techniques. There is currently no single source that describes these techniques and their clinical implementation. This text will be a concise handbook designed to assist the clinician in the implementation of APBI.
A History of Limb Amputation
This book traces humanity’s long experience of natural amputations due to congenital absence, disease, frostbite, toxins, domestic and wild animal trauma, and for non-medical reasons related to punitive, ritual, and legal actions, ultimately leading to the development of elective surgical amputation. While the evolution of surgical techniques forms a major chapter in the book, many ancillary problems are addressed including the control of hemorrhage and infection, the approach to pain relief, the development of suitable instruments and equipment, and the invention of prostheses, all suitably illuminated with case histories and relevant illustrations. In addition, alternative procedures designed to avoid amputation, increasingly important in the last two centuries, are debated, and factors associated with self-amputation in extremis, not rare according to press reports, are also examined. A separate chapter considers the philosophy and interpretations of society, patients, and surgeons faced with amputation, particularly before anesthesia.
A Closer Look at Antibiotic Resistance
Bacterial infections have become more difficult, and sometimes impossible, to treat due to antibiotic resistance, which occurs when bacteria develop the ability to defeat the available drugs designed to kill them. According to the Centers for Disease Control and Prevention, each year, 2 million Americans become sick with antibiotic-resistant infections, and of that, about 23,000 die. This book examines the challenges related to antibiotic resistance, the development and use of diagnostic testing to identify antibiotic resistance, the development of treatments for resistant infections, and appropriate antibiotic use.
2D Functional Nanomaterials : Synthesis, Characterization, and Applications
In 2D Functional Nanomaterials: Synthesis, Characterization, and Applications, Dr. Ganesh S. Kamble presents an authoritative overview of the most recent progress in the rational design and synthesis of 2D nanomaterials and their applications in semiconducting catalysts, biosensors, electrolysis, batteries, and solar cells. This interdisciplinary volume is a valuable resource for materials scientists, electrical engineers, nanoscientists, and solid-state physicists looking for up-to-date information on 2D heterojunction nanomaterials.
Linked Democracy : Foundations, Tools, and Applications
This book shows the factors linking information flow, social intelligence, rights management and modelling with epistemic democracy, offering licensed linked data along with information about the rights involved. This model of democracy for the web of data brings new challenges for the social organisation of knowledge, collective innovation, and the coordination of actions. Licensed linked data, licensed linguistic linked data, right expression languages, semantic web regulatory models, electronic institutions, artificial socio-cognitive systems are examples of regulatory and institutional design (regulations by design). The web has been massively populated with both data and services, and semantically structured data, the linked data cloud, facilitates and fosters human-machine interaction. Linked data aims to create ecosystems to make it possible to browse, discover, exploit and reuse data sets for applications. Rights Expression Languages semi-automatically regulate the use and reuse of content.
Competition Authorities in South Eastern Europe : Building Institutions in Emerging Markets
Provides answers to key open questions concerning competition policy in emerging economies, with a focus on South Eastern Europe. The contributions address two major issues. One is the design of competition policy and the national competition authorities that enforce it, including the topics of competition advocacy and state aid control; the other is the use of economic methods in competition law enforcement, especially in the cases of relevant market definition and merger control. Many lessons learned in the countries of South Eastern Europe can be applied to the emerging markets of other regions. As such, the findings presented here will be highly relevant for officials and staff at national competition authorities, advisers to legislators shaping national competition policy, competition law professionals, and university students alike.
Artificial intelligence and legal analytics : new tools for law practice in the digital age
The field of artificial intelligence (AI) and the law is on the cusp of a revolution. This book - designed to explain computational processes to non-programmers - describes how text analytic programs will change the practice of law, specifically by connecting computational models of legal reasoning directly with legal text.
Managed Software Evolution
This open access book presents the outcomes of the “Design for Future – Managed Software Evolution” .The different lifecycles of software and hardware platforms lead to interoperability problems in such systems. Instead of separating the development, adaptation and evolution of software and its platforms, as well as aspects like operation, monitoring and maintenance, they should all be integrated into one overarching process. Accordingly, the book is split into three major parts, the first of which includes an introduction to the nature of software evolution, followed by an overview of the specific challenges and a general introduction to the case studies used in the project. The second part of the book consists of the main chapters on knowledge carrying software, and cover tacit knowledge in software evolution, continuous design decision support, model-based round-trip engineering for software product lines, performance analysis strategies, maintaining security in software evolution, learning from evolution for evolution, and formal verification of evolutionary changes. In turn, the last part of the book presents key findings and spin-offs. The individual chapters there describe various case studies, along with their benefits, deliverables and the respective lessons learned. An overview of future research topics rounds out the coverage.
Maintenance Theory of Reliability
The book provides a detailed introduction to maintenance policies, updates the reader on the current status of the field and indicates future directions. The reader will learn the theory of maintenance and how to apply models in practice.
Machine Learning in Computer Vision
The goal of this book is to address the use of several important machine learning techniques into computer vision applications. An innovative combination of computer vision and machine learning techniques has the promise of advancing the field of computer vision, which contributes to better understanding of complex real-world applications. The effective usage of machine learning technology in real-world computer vision problems requires understanding the domain of application, abstraction of a learning problem from a given computer vision task, and the selection of appropriate representations for the learnable (input) and learned (internal) entities of the system. In this book, we address all these important aspects from a new perspective: that the key element in the current computer revolution is the use of machine learning to capture the variations in visual appearance, rather than having the designer of the model accomplish this. As a bonus, models learned from large datasets are likely to be more robust and more realistic than the brittle all-design models.
Machine learning and deep learning in medical data analytics and healthcare applications
Introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary machine learning (ML) and deep learning (DL) research in healthcare paradigms. Serving as a unique compendium of existing and emerging ML/DL paradigms for the healthcare sector, this book demonstrates the depth, breadth, complexity, and diversity of this multi-disciplinary area. It provides a comprehensive overview of ML/DL algorithms and explores the related use cases in enterprises such as computer-aided medical diagnostics, drug discovery and development, medical imaging, automation, robotic surgery, electronic smart records creation, outbreak prediction, medical image analysis, and radiation treatments.
Machine Learning Algorithms Using Python Programming
Presents the key concepts of Machine Learning which includes Python concepts and Interpreter, Foundation of Machine Learning, Data Pre-processing, Supervised Machine Learning, Unsupervised Machine Learning, Reinforcement Learning, Kernel Machine, Design and analysis of Machine Learning experiment and Data visualization. The theoretical concepts along with coding implementation are covered. This book aims to pursue a middle ground between a theoretical textbook and one that focuses on applications. The book concentrates on the important ideas in machine learning.
LNA-ESD Co-Design for Fully Integrated CMOS Wireless Receivers
LNA-ESD Co-Design for Fully Integrated CMOS Wireless Receivers fits in the quest for complete CMOS integration of wireless receiver front-ends. With a combined discussion of both RF and ESD performance, it tackles one of the final obstacles on the road to CMOS integration.
List decoding of error-correcting codes : Winning thesis of the 2002 ACM doctoral dissertation competition
Presents some spectacular new results in the area of decoding algorithms for error-correcting codes. Specifically, it shows how the notion of “list-decoding” can be applied to recover from far more errors, for a wide variety of err- correcting codes, than achievable before. A brief bit of background : error-correcting codes are combinatorial str- tures that show how to represent (or “encode”) information so that it is - silient to a moderate number of errors. Speci?cally, an error-correcting code takes a short binary string, called the message, and shows how to transform it into a longer binary string, called the codeword, so that if a small number of bits of the codewordare ?ipped, the resulting string does not look like any other codeword. The maximum number of errorsthat the code is guaranteed to detect, denoted d, is a central parameter in its design. A basic property of such a code is that if the number of errors that occur is known to be smaller than d/2, the message is determined uniquely. This poses a computational problem, called the decoding problem : compute the message from a corrupted codeword, when the number of errors is less than d/2.
