The COVID-19 pandemic has put massive stress on healthcare professionals' formal training, their creed to do no harm, and the patient safety movement. COVID-19 affects all aspects of daily life and healthcare's organizational culture and values. Healthcare institutions experience absenteeism, change in commerce patterns, and interrupted supply/delivery in this context. It has also revealed the extensive amounts of data needed for population health management, as well as the opportunities afforded by mainstreaming telehealth and virtual care capabilities, thus making the implementation of health IT essential in the post-pandemic era. Quality of Healthcare in the Aftermath of the COVID-19 Pandemic clarifies how healthcare professionals might provide their services differently than treating a patient through its vicinity with multiple providers. It examines the notion that healthcare education requires a pack of healthcare workers from varied educational backgrounds and training levels for the nuances of a disease. Covering topics such as blockchain technology, power density analysis, and supply chain, this book is a valuable resource for undergraduate and extended degree program students, graduate students of healthcare quality and health services management, healthcare managers, health professionals, researchers, professors, and academicians.

Providing an integrated and multi-level analysis of the impacts of COVID-19 on people, place, economies and policies, across the globe, this timely book explores how the global response to the COVID-19 pandemic combines failure with success. It focuses on exploring rapid adaptation and improvisation by individuals, organisations and governments as they attempted to minimise and mitigate the socio-economic and health impacts of the pandemic. Interdisciplinary chapters written by social policy, geography, planning, policy, sociology and public health experts explore the broader impacts of COVID-19, positioning the pandemic in the context of wider trends and risks including climate change. Chapters highlight the importance of place and local contexts in understanding its impacts in different settings including Europe, Canada, North America, South Korea, South Africa and Lebanon. In doing so, the book develops a pandemic preparedness, responsiveness and recovery research framework and intends to inform post-pandemic policy development and research. This is an important book for geography, social policy, politics, urban studies, planning and business and management researchers and students, particularly those focusing on crisis management and risk and resilience. With key case studies from across the globe, it will help elucidate key issues for policy makers and practitioners across a range of sectors including strategic management, social policy, public health and the built environment.

Organized into four sections, Clove (Syzygium aromaticum): Chemistry, Functionality, and Applications addresses the cultivation, composition, and applications of clove, along with the chemistry, functionality, and applications of clove fixed oil, clove essential oil, and clove extracts and their role in food and medicine. Beginning with the introduction of clove, this book aims to establish a multidisciplinary discussion on the development of Syzygium aromaticum phytochemistry, technology, processing, agricultural practices, functional traits, health-enhancing potential, mechanism of action, and toxicity as well as food and nonfood uses. The studies reported in this book confirm the functional applications of Syzygium aromaticum as a medicinal plant, standing out for the significance of novel applications. This book delves into the functional, nutritional, and pharmacological traits of clove. Therefore, the book will serve as a valuable reference for food scientists, technologists, chemists, nutritionists, and pharmacists developing new pharmaceutical and food products.

Polymeric materials offer a high level of versatility due to the range of applications possible within the biomedical and clinical fields - including wound closure - particularly in comparison to metals or ceramics. These specialised materials also allow for a diverse array of therapeutic effects. Although there have been advances in improving polymeric materials for surgical sutures, there is little information available regarding improving the therapeutic value of sutures, and advanced technologies used to implement this improvement. Advanced Technologies and Polymer Materials for Surgical Sutures provides thorough coverage on suture materials with improved mechanical and therapeutic properties that can improve quality of life; chapter topics include drug-releasing kinetics of sutures, shape memory polymer sutures and future trends. This book is a useful resource for academics and researchers in the materials science and biomedical engineering fields, as well as professionals in biomaterials and biotextiles development and clinicians looking to learn more about suture material properties and suture/body interactions.

Transcultural Artificial Intelligence and Robotics in Health and Social Care provides healthcare professionals with a deeper understanding of the incredible opportunities brought by the emerging field of AI robotics. In addition, it provides robotic researchers with the point-of-view of healthcare professionals to understand what the healthcare sector - as well as the market - really needs from robotics technology. By doing so, the book fills an important gap between both fields in order to leverage new developments and collaborative work in favor of global patients. The book is aimed at the non-technical reader, especially health and social care professionals, and explains in a simple way the technological principles applied in the development of socially assistive humanoid AI robots (SAHR), the values which guide such developments, the ethics related to them, and research approaches in the field, with a focus on achieving a culturally competent SAHR.

Explainable artificial intelligence is proficient in operating and analyzing the unconstrainted environment in fields like robotic medicine, robotic treatment, and robotic surgery, which rely on computational vision for analyzing complex situations. Explainable artificial intelligence is a well-structured customizable technology that makes it possible to generate promising unbiased outcomes. The model's adaptability facilitates the management of heterogeneous healthcare data and the visualization of biological structures through virtual reality. Explainable artificial intelligence has newfound applications in the healthcare industry, such as clinical trial matching, continuous healthcare monitoring, probabilistic evolutions, and evidence-based mechanisms. Principles and Methods of Explainable Artificial Intelligence in Healthcare discusses explainable artificial intelligence and its applications in healthcare, providing a broad overview of state-of-the-art approaches for accurate analysis and diagnosis. The book also encompasses computational vision processing techniques that handle complex data like physiological information, electronic healthcare records, and medical imaging data that assist in earlier prediction. Covering topics such as neural networks and disease detection, this reference work is ideal for industry professionals, practitioners, academicians, researchers, scholars, instructors, and students.

In healthcare, a digital twin is a digital representation of a patient or healthcare system using integrated simulations and service data. The digital twin tracks a patient's records, crosschecks them against registered patterns and analyses any diseases or contra indications. The digital twin uses adaptive analytics and algorithms to produce accurate prognoses and suggest appropriate interventions. A digital twin can run various medical scenarios before treatment is initiated on the patient, thus increasing patient safety as well as providing the most appropriate treatments to meet the patient's requirements. Digital Twin Technologies for Healthcare 4.0 discusses how the concept of the digital twin can be merged with other technologies, such as artificial intelligence (AI), machine learning (ML), big data analytics, IoT and cloud data management, for the improvement of healthcare systems and processes. The book also focuses on the various research perspectives and challenges in implementation of digital twin technology in terms of data analysis, cloud management and data privacy issues. With chapters on visualisation techniques, prognostics and health management, this book is a must-have for researchers, engineers and IT professionals in healthcare as well as those involved in using digital twin technology, AI, IoT & big data analytics for novel applications.

Environmental Noise Pollution, Second Edition, addresses the key debates surrounding environmental noise pollution, its modelling and mitigation using examples from across the globe. Environmental noise pollution is now an established concern in environmental and public policy and is considered one of the most important environmental stressors affecting public health throughout the world. Thoroughly revised, this new edition includes updated global case studies as well as new chapters on 'soundscapes and noise mapping' and 'environmental noise and technology'. This book examines environmental noise pollution, its health implications, noise modelling, the role of strategic noise mapping for problem assessment, major sources of environmental noise pollution, noise mitigation approaches, and related procedural and policy implications. Drawing on the authors' considerable research expertise in the area, the book is a fully updated resource on this major environmental stressor that crosses disciplinary, policy and national boundaries.

Bioactive Lipids presents the topic of bioactive lipids from a functional food development perspective. This book explores the potential of dietary lipids to understand how such bioactive compounds can be used in the development of functional foods and nutraceuticals. The book includes case studies to enable readers to understand the potential of several dietary lipids and the possibilities regarding their incorporation into several food matrices. Bioactive Lipids will be a welcome reference for researchers, lecturers and students from the food science and nutrition fields.

Meat and Meat Replacements: An Interdisciplinary Assessment of Current Status and Future Directions provides an interdisciplinary view on the production and consumption of food, challenges to the traditional meat industry, and potential meat replacements. This reference includes chapters on basic food science and technology of meat products and meat replacements as well as coverage of their nutritional value. Sensory and consumer research is addressed, as are the economics of these products, the environmental consequences, and ethical considerations related to the environment and to the products themselves. Meat and Meat Replacements is a helpful resource for food scientists, food and nutrition researchers, food engineers, product development scientists and managers, economists, and students studying meats and meat replacements.