Encyclopedia of Condensed Matter Physics, Second Edition, Five Volume Set is an authoritative and comprehensive expansion of the classic 2005 work, delivering over 300 brand new or fully updated articles focused on core theoretical discoveries and modern applications. Meticulously planned and structured into approximately 60 sections, the book allows the user to quickly gain a solid footing in the key theoretical aspects of quantum mechanics, mechanics, electrodynamics, relativity, statistical mechanics and the elementary particles that form the core physics background for the field. The work also presents useful coverage of experimental techniques, materials processing, and materials systems, as well as applied topics. Novel topics, including topology in condensed matter, graphene, integer and fractional quantum Hall effect, and other nanoscale phenomena in optics, in semiconductors, and in superconductors are presented in unusual depth. The encyclopedia solves the problem that students and interdisciplinary researchers often have of finding clear, accessible foundational information to answer their initial questions on a topic.

Phospholipases in Physiology and Pathology presents a comprehensive overview on the physiology and pathology of phospholipases. This seven-volume set considers the biochemical and molecular mechanisms of normal and abnormal cell function upon dysregulation of phospholipases in different diseases. Volumes cover signal transduction mechanisms, implications in cancer, infectious diseases, neural diseases, cardiovascular diseases and other diseases, implications in inflammation, apoptosis, gene expression and non-coding RNAs, the role of natural and synthetic compounds, and stem cell therapies, nanotechnology-based therapies, and more. Together, these volumes give researchers critical insight on the mechanistic and therapeutic aspects of phospholipases.

This timely Research Handbook examines the evolution of smart growth over the past three decades, mapping the trajectory from its original principles to its position as an important paradigm in urban planning today. Critically analysing the original concept of smart growth and how it has been embedded in state and local plans, contributions from top scholars in the field illustrate what smart growth has accomplished since its conception, as well as to what extent it has achieved its goals. Providing an overview of the history of smart growth, the book further examines its changing governance over time, and the new horizons for smart growth, exploring ways to confront contemporary challenges in urban planning. Illuminating key issues in the field, from urban sprawl to gentrification, that the original principles failed to address, this insightful Handbook advocates for the expansion of smart growth principles to meet the emerging challenges of the modern world, concluding with an agenda for a "smart growth 2.0". Informative and comprehensive, this Handbook will prove to be essential reading for researchers, academics and students of urban planning. Its proposals for the future evolution of smart growth will also serve as an accessible and up-to-date reference point for urban planning professionals, activists and policymakers.

Artificial intelligence (AI) is beginning to appear in everything from writing, social media, and business to wartime or intelligence strategy. With so many applications in our everyday lives and in the systems that run them, many are demanding that ethical implications are considered before any one application of AI goes too far and causes irreparable damage to the personal data or operations of individuals, governments, and organizations. For instance, AI that is fed data sets that are influenced by human data collection method biases may be perpetuating societal biases with implicit bias that can create serious consequences. Applications of AI with implicit bias on recidivism prediction models as well as medical algorithms have shown biases against certain racial or ethnic groups, leading to actual discrimination in treatment by the legal system and the medical systems. Regulatory groups may identify the bias in AI but not the source of the bias, making it difficult to determine who to hold accountable. Lack of dataset and programming transparency can be problematic when AI systems are used to make significant decisions, and as AI systems become more advanced, questions arise regarding responsibility for the results of their implementation and the regulation thereof. Research on how these applications of AI are affecting interpersonal and societal relationships is important for informing much-needed regulatory policies. Investigating the Impact of AI on Ethics and Spirituality focuses on the spiritual implications of AI and its increasing presence in society. As AI technology advances, it raises fundamental questions about our spiritual relationship with technology. This study emphasizes the need to examine the ethical considerations of AI through a spiritual lens and to consider how spiritual principles can inform its development and use. This book covers topics such as data collection, ethical issues, and AI and is ideal for educators, teacher trainees, policymakers, academicians, researchers, curriculum developers, higher-level students, social activists, and government officials.

Nanostructured Materials for Tissue Engineering introduces the key properties and approaches involved in using nanostructured materials in tissue engineering, including functionalization, nanotechnology-based regenerative techniques, toxicological and biocompatible aspects. A broad range of nanomaterial types are covered, from polymer scaffolds and nanocomposites to gold nanoparticles and quantum dots. This book aids the reader in materials selection, as well as matching to the best applications, including bone, skin, pulmonary or neurological tissue engineering. Users will find this book to be an up-to-date review on this fast-changing field that is ideal for materials scientists, tissue engineers, biomedical engineers, and pharmaceutical scientists.

Sulfide and Selenide-Based Materials for Emerging Applications explores a materials and device-based approach to the transition to low-cost sustainable thin film photovoltaic devices and energy storage systems. Part 1 examines recent advances in renewable technologies and materials for sustainable development, as well as photovoltaic energy storage devices. Part 2 discusses thin film solar cells with earth abundant materials, highlighting the power conversion efficiency of the kesterite-based solar cells. Kesterite film technology including different synthesis and doping method designs are also discussed, along with emerging sulfide semiconductors with potential in thin film photovoltaics/flexible devices. In Part 3 sulfur- and selenides-based materials for thermoelectric applications are explored. Part 4 covers chalcogenide semiconductors with applications in electrochemical water splitting for green hydrogen generation and oxygen generation, as well as the latest research on layered 2D transition metal chalcogenides for electrochemical water splitting. To conclude, part 5 discusses recent developments of storage technologies such as Li-S batteries, sulfide-based supercapacitors and metal-ion batteries, and the development of 3D printing sulfides/selenides for energy conversion and storage. This book is a useful resource for those involved in green energy technology and decarbonization and is designed for a broad audience, from students to experienced scientists.

Terahertz Biomedical and Healthcare Technologies: Materials to Devices reviews emerging advances in terahertz biomedical and healthcare technologies, including advances in fundamental materials science research, device design and fabrication, applications, and challenges and opportunities for improved performance. In addition, the improvement of materials, optical elements, and measuring techniques are also explored. Other sections cover the design and development of wide bandgap semiconductors for terahertz device applications, including their physics, device modeling, characterization and fabrication concepts. Finally, the book touches on potential defense, medical imaging, internet of things, and the machine learning applications of terahertz technologies.

Advances in telemedicine technologies have offered clinicians greater levels of real-time guidance and technical assistance for diagnoses, monitoring, operations or interventions from colleagues based in remote locations. The topic includes the use of videoconferencing, mentorship during surgical procedures, or machine-to-machine communication to process data from one location by programmes running in another. This edited book presents a variety of technologies with applications in telemedicine, originating from the fields of biomedical sensors, wireless sensor networking, computer-aided diagnosis methods, signal and image processing and analysis, automation and control, virtual and augmented reality, multivariate analysis, and data acquisition devices. The Internet of Medical Things (IoMT), surgical robots, telemonitoring, and teleoperation systems are also explored, as well as the associated security and privacy concerns in this field. Topics covered include critical factors in the development, implementation and evaluation of telemedicine; surgical tele-mentoring; technologies in medical information processing; recent advances of signal/image processing techniques in healthcare; a real-time ECG processing platform for telemedicine applications; data mining in telemedicine; social work and tele-mental health services for rural and remote communities; applying telemedicine to social work practice and education; advanced telemedicine systems for remote healthcare monitoring; the impact of tone-mapping operators and viewing devices on visual quality of experience of colour and grey-scale HDR images; modelling the relationships between changes in EEG features and subjective quality of HDR images; IoMT and healthcare delivery in chronic diseases; and transform domain robust watermarking method using Riesz wavelet transform for medical data security and privacy.

Dieses Buch verfolgt einen marxistischen Ansatz mit dem Schwerpunkt auf der Klasse, um über Marx' Kapital im Kontext des Ostens nachzudenken. Es nimmt eine kritische Neubewertung einiger vertrauter Konzepte im Kapital vor und arbeitet Themen heraus, die an dessen Rand liegen. In verschiedenen Aufsätzen wird dieses Grenzgebiet erkundet, um neue Konzepte und Analysemethoden für Marx' Abhandlung im 21. Jahrhundert zu fördern. Jahrhundert voranzutreiben. Damit stellt es einen Fortschritt in der Marxschen Theorie und Politik dar. Das Buch untersucht das Kapital von Marx aus der Perspektive und dem Blickwinkel des Ostens und konzentriert sich auf viele Themen, die an den "Grenzen" des Kapitals liegen, das sich hauptsächlich mit der Entschlüsselung des entwickelten Kapitalismus befasst. Es werden neue Konzepte eingeführt und in Beziehung zu den von Marx vertretenen gesetzt, um unser Verständnis von Wirtschaft, Kapitalismus, Entwicklung und Politik zu verbessern. In dieser Hinsicht bietet das Buch eine Lesart des Kapitals, die sich von den herkömmlichen Überlegungen in der westlichen Welt unterscheidet. Der Umfang ist groß und deckt einen großen Teil des Gebiets von Marx' Kapital ab, wobei auch einige neue Themen im Zusammenhang mit dem Kapital behandelt werden. Der Inhalt gliedert sich in die folgenden Abschnitte: Rezeption des Kapitals im Osten; Wert, Ware, Mehrwert und Kapitalismus; Bevölkerung und Rente im Kapital; und Fragen jenseits des Kapitals.

Medical and information communication technology professionals are working to develop robust classification techniques, especially in healthcare data/image analysis, to ensure quick diagnoses and treatments to patients. Without fast and immediate access to healthcare databases and information, medical professionals' success rates and treatment options become limited and fall to disastrous levels. Advanced Classification Techniques for Healthcare Analysis provides emerging insight into classification techniques in delivering quality, accurate, and affordable healthcare, while also discussing the impact health data has on medical treatments. Featuring coverage on a broad range of topics such as early diagnosis, brain-computer interface, metaheuristic algorithms, clustering techniques, learning schemes, and mobile telemedicine, this book is ideal for medical professionals, healthcare administrators, engineers, researchers, academicians, and technology developers seeking current research on furthering information and communication technology that improves patient care.

The essays in this collection provide in-depth analyses of Samuel Beckett's major works in the context of his international presence and circulation, particularly the translation, adaptation, appropriation and cultural reciprocation of his oeuvre. A Nobel Prize winner who published and self-translated in both French and English across literary genres, Beckett is recognized on a global scale as a preeminent author and dramatist of the 20th century. Samuel Beckett as World Literature brings together a wide range of international contributors to share their perspectives on Beckett's presence in countries such as China, Japan, Serbia, India and Brazil, among others, and to flesh out Beckett's relationship with postcolonial literatures and his place within the 'canon' of world literature.

Sustainability issues have gained more importance in contemporary globalization, pushing decision makers to find a systematic mathematical approach to conduct analyses of this real-world problem. The growing complexity in modern social-economics or engineering environments or systems has forced researchers to solve complicated problems by using multi-criteria decision-making (MCDM) approaches. However, traditional MCDM research mainly focuses on reaching the highest economic value or efficiency, and issues related to sustainability are still not closely explored. Advanced Multi-Criteria Decision Making for Addressing Complex Sustainability Issues discusses and addresses the challenges in the implementation of decision-making models in the context of green and sustainable engineering, criteria identification, quantification, comparison, selection, and analysis in the context of manufacturing, supply chain, transportation, and energy sectors. All academic communities in the areas of management, economics, business sciences, mechanical, and manufacturing technologies are able to use, apply, and implement the models presented in this book. It is intended for researchers, manufacturers, engineers, managers, industry professionals, academicians, and students.

The development of new and effective analytical and numerical models is essential to understanding the performance of a variety of structures. As computational methods continue to advance, so too do their applications in structural performance modeling and analysis. Modeling and Simulation Techniques in Structural Engineering presents emerging research on computational techniques and applications within the field of structural engineering. This timely publication features practical applications as well as new research insights and is ideally designed for use by engineers, IT professionals, researchers, and graduate-level students.

Smart healthcare technology improves the diagnosis and treatment of patients, provides easy access to medical facilities and emergency care services, and minimizes the gaps between patients and healthcare providers. While clinical data protection remains a major challenge, innovations such as the internet of medical things and smart healthcare systems increase the efficiency and quality of patient care. Healthcare technology can only become faster, more profitable, and more flexible as additional research on its advancements is conducted and collected. Smart Medical Data Sensing and IoT Systems Design in Healthcare is an essential reference source that focuses on robust and easy solutions for the delivery of medical information from patients to doctors and explores low-cost, high-performance, highly efficient, deployable IoT system options in healthcare systems. Featuring research on topics such as hospital management systems, electronic health records, and bio-signals, this book is ideally designed for technologists, engineers, scientists, clinicians, biomedical engineers, hospital directors, doctors, nurses, healthcare practitioners, telemedical agents, students, and academicians seeking coverage on the latest technological developments in medical data analysis and connectivity.

This book provides an overview of fake news detection, both through a variety of tutorial-style survey articles that capture advancements in the field from various facets and in a somewhat unique direction through expert perspectives from various disciplines. The approach is based on the idea that advancing the frontier on data science approaches for fake news is an interdisciplinary effort, and that perspectives from domain experts are crucial to shape the next generation of methods and tools. The fake news challenge cuts across a number of data science subfields such as graph analytics, mining of spatio-temporal data, information retrieval, natural language processing, computer vision and image processing, to name a few. This book will present a number of tutorial-style surveys that summarize a range of recent work in the field. In a unique feature, this book includes perspective notes from experts in disciplines such as linguistics, anthropology, medicine and politics that will help to shape the next generation of data science research in fake news. The main target groups of this book are academic and industrial researchers working in the area of data science, and with interests in devising and applying data science technologies for fake news detection. For young researchers such as PhD students, a review of data science work on fake news is provided, equipping them with enough know-how to start engaging in research within the area. For experienced researchers, the detailed descriptions of approaches will enable them to take seasoned choices in identifying promising directions for future research.

Applications of solar energy have been expanding in recent years across the world. This monograph details such far-reaching and important applications which have the potential for large impact on various segments of the society. It focuses solar energy technologies for various applications such as generation of electric power, heating, energy storage, etc. This volume will be a useful guide for researchers, academics and scientists.