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The COVID-19 pandemic has impacted all aspects of human existence—including the education sector. The pandemic has triggered a paradigm shift in the future of education, and thus, the current practices must transition to the “new normal.” For better or for worse, the practices and technologies used within learning environments must drastically change in the aftermath of the COVID-19 pandemic. Policies and Procedures for the Implementation of Safe and Healthy Educational Environments: Post-COVID-19 Perspectives discusses the policies and procedures used in the implementation of safe and healthy educational environments both during and after the COVID-19 pandemic. It shares the best practices and presents the opportunity to learn from educator experiences in the time of crisis. Covering topics such as digital accessibility, healthy educational environments, and social-emotional development, this book is essential for educators in both K-12 and higher education settings, researchers, education administrators, policymakers, pre-service teachers, and academicians.
In the wake of the digital healthcare revolution, a critical challenge has emerged: the lack of a comprehensive understanding stemming from fragmented research. Despite the industry's meteoric rise, existing literature often compartmentalizes insights, neglecting the intricate multi-sector collaborations that fuel its progress. This gap hinders scholars and industry professionals, leaving them with a myopic view of the digital healthcare landscape. The urgent need for a holistic exploration has never been more apparent. Multi-Sector Analysis of the Digital Healthcare Industry is a groundbreaking book that will uncover the complexities of digital healthcare with a panoramic lens. This carefully curated collection of cross-functional chapters is a beacon guiding academics and industry specialists through the difficulties of the industry's past, present, and future. With experts from fields spanning medicine, technology, business, and regulatory sectors, this book addresses the limitations of current research but serves as a compass for those seeking a more profound comprehension of digital healthcare's collaborative dynamics.
The COVID-19 pandemic clearly shows the vital role of accurate and reliable information in public health. Health literacy addresses not only patient needs but also the needs of the general population, who must not only comply with advice and instructions but also understand the severity of health crises and respond accordingly. A variety of crises imposed on healthcare systems constantly arise ranging from pandemics to natural catastrophes, terrorist attacks, and outbreaks of illnesses. In addition, there are crises within the healthcare systems, such as a lack of resources and an appropriate workforce. Crises in healthcare systems that are not efficiently dealt with may result in inefficiencies and inequalities in health provision. The Role of Health Literacy in Major Healthcare Crises examines the role of health literacy not only in informing the public but also in building a culture of cooperation between the healthcare systems and their users. The book also investigates the role of communication strategies and educational activities of multiple agencies at local, national, and global levels and explores ethical issues associated with healthcare crises and how they are negotiated in health campaigns. Covering key topics such as digital media, health information, and e-health, this premier reference source is ideal for healthcare professionals, nurses, policymakers, researchers, scholars, academicians, practitioners, instructors, and students.
In the field of healthcare technology, the Internet of Medical Things (IoMT) stands at the forefront of progress, revolutionizing patient care through advanced monitoring and treatment modalities. However, this digital transformation brings forth a new challenge— the vulnerability of sensitive medical data to cyber threats. Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT) examines ways to fortify IoMT against potential breaches through the exploration of these trust architectures. Delving deep into data privacy technologies, the book examines the implications of regulatory frameworks such as GDPR, HIPAA, and cybersecurity law. It assesses traditional security methods and considers innovative approaches, offering insights into certificate generation, digital identification, and the optimization of network protocols for secure data transmission.Lightweight Digital Trust Architectures in the Internet of Medical Things (IoMT) illuminates the path forward for IoMT security. Its objectives are multi-faceted: from unraveling the intricacies of the health chain to dissecting the role of lightweight cryptographic key agreement mechanisms in safeguarding medical data. The book grapples with the challenges and advantages of implementing compact cryptographic techniques in healthcare, particularly within the decentralized framework of IoMT. By exploring the potential of Federated Learning (FL) in bolstering privacy and improving healthcare outcomes, the book aims to equip researchers, healthcare professionals, and IT experts with valuable knowledge. Through real-world case studies, it endeavors to pave the way for a future where security and efficiency seamlessly integrate in IoMT.
Applying mechanisms and principles of human intelligence and converging the brain and artificial intelligence (AI) is currently a research trend. The applications of AI in brain simulation are countless. Brain-inspired intelligent systems will improve next-generation information processing by applying theories, techniques, and applications inspired by the information processing principles from the brain. Exploring Future Opportunities of Brain-Inspired Artificial Intelligence focuses on the convergence of AI with brain-inspired intelligence. It presents research on brain-inspired cognitive machines with vision, audition, language processing, and thinking capabilities. Covering topics such as data analysis tools, knowledge representation, and super-resolution, this premier reference source is an essential resource for engineers, developers, computer scientists, students and educators of higher education, librarians, researchers, and academicians.
Discussions surrounding the bias and discrimination against women in business have become paramount within the past few years. From wage gaps to a lack of female board members and leaders, various inequities have surfaced that are leading to calls for change. This is especially true of Black women in academia who constantly face the glass ceiling. The glass ceiling represents the metaphor for prejudice and discrimination that women may experience in the attainment of leadership positions. The glass ceiling is a barrier so subtle yet transparent and strong that it prevents women from moving up. There is a need to study the trajectory of Black females in academia specifically from faculty to leadership positions and their navigation of systemic roadblocks encountered along their quest to success. Black Female Leaders in Academia: Eliminating the Glass Ceiling With Efficacy, Exuberance, and Excellence features full-length chapters authored by leading experts offering an in-depth description of topics related to the trajectory of Black female leaders in higher education. It provides evidence-based practices to promote excellence among Black females in academic leadership positions. The book informs higher education top-level administration, policy experts, and aspiring leaders on how to best create, cultivate, and maintain a culture of Black female excellence in higher education settings. Covering topics such as barriers to career advancement, the power of transgression, and role stressors, this premier reference source is an essential resource for faculty and administrators of higher education, librarians, policymakers, students of higher education, researchers, and academicians.
The healthcare industry is starting to adopt digital twins to improve personalized medicine, healthcare organization performance, and new medicine and devices. These digital twins can create useful models based on information from wearable devices, omics, and patient records to connect the dots across processes that span patients, doctors, and healthcare organizations as well as drug and device manufacturers. Digital twins are digital representations of human physiology built on computer models. The use of digital twins in healthcare is revolutionizing clinical processes and hospital management by enhancing medical care with digital tracking and advancing modelling of the human body. These tools are of great help to researchers in studying diseases, new drugs, and medical devices. Digital Twins and Healthcare: Trends, Techniques, and Challenges facilitates the advancement and knowledge dissemination in methodologies and applications of digital twins in the healthcare and medicine fields. This book raises interest and awareness of the uses of digital twins in healthcare in the research community. Covering topics such as deep neural network, edge computing, and transfer learning method, this premier reference source is an essential resource for hospital administrators, pharmacists, medical professionals, IT consultants, students and educators of higher education, librarians, and researchers.
In a world persistently grappling with gender disparities, the quest for women's empowerment and leadership stands as a pivotal challenge on the global stage. Across diverse societies, the journey towards gender equality in leadership remains fraught with systemic barriers, deeply ingrained stereotypes, and institutional hurdles. From corporate boardrooms to political arenas, women continue to face challenges in realizing their leadership potential. Global Insights on Women Empowerment and Leadership unveils this intricate narrative, offering a nuanced exploration of the triumphs, challenges, and evolving landscapes that define women's pursuit of empowerment across continents and cultures. Through a meticulously woven tapestry of stories, experiences, and struggles, the book sheds light on the shared aspirations and unique journeys of women navigating pathways towards parity and influence. This comprehensive resource is tailored for a diverse audience, including leaders and decision-makers across sectors, educators and students in gender studies, activists and advocates for social justice, professionals aiming for inclusive workplaces, international development organizations seeking effective strategies, and general readers interested in societal shifts. By catering to this spectrum, the book serves as a guide, offering insights, practical strategies, and inspiration for those committed to fostering environments where women can thrive as leaders, contributing to a more equitable world.
The current healthcare system faces complications including data acquisition, interpretation, and delivery challenges, particularly in out-of-hospital scenarios. The shortage of medical resources intensifies the demand for efficient information gathering and processing. Moreover, the potential of pervasive computing still needs to be explored in healthcare, limiting the industry's ability to leverage innovations like artificial intelligence, augmented reality, and virtual reality. Ubiquitous Computing and Technological Innovation for Universal Healthcare addresses the medical field's critical challenges. It presents innovative solutions grounded in the marriage of Unmanned Aerial Vehicles (UAV), pervasive computing, and metaverse intelligence. It outlines how these UAVs redefine out-of-hospital care, addressing the pressing need for efficient data collection and interpretation amid a global medical shortage. Integrating cognitive algorithms is explored to automate diagnosis and enhance healthcare systems' emergency responsiveness. The book revolves around developing and integrating treatment programs leveraging UAV communication. Topics such as artificial intelligence, telemedicine, blockchain, digital twins, augmented reality, and virtual reality are delved into for their role in creating intelligent healthcare systems. The focus on rapid identification of underlying health issues, real-time monitoring in the metaverse, and the economic, social, and environmental impact of these systems adds depth to the discourse. Structured as a vital resource for researchers, academicians, industry professionals, policy-makers, and system designers, this book bridges the gap between theory and application.
Experts in Medicine are under new pressures of advancing their studies while also reducing the impact they leave on the environment. Researchers within the fields of bio-neuro informatics, healthcare, engineering, and medical sciences require a dynamic platform that bridges the realms of academia, science, industry, and innovation. Green AI-Powered Intelligent Systems for Disease Prognosis facilitates a crossroads for a diverse audience interested in these two seldom coalesced concepts. Academicians, scientists, researchers, professionals, decision-makers, and even aspiring scholars all find a space to contribute, collaborate, and learn within the platform that this book provides. The book's thematic coverage is unequivocally compelling; by exploring the intersections of bio-neuro informatics, healthcare, engineering, and medical sciences, it captures the spirit of interdisciplinary research. It delves into well-established domains while also casting a spotlight on emerging trends that have the potential to reshape our understanding of these fields. Two prominent tracks form the backbone of the book's content. The first covers the Bioinformatics and Data Mining of Biological Data (BiDMBD), and unravels the intricacies of biomedical computation, signal analysis, clinical decision support, and health data mining. This approach holds a treasure trove of insights into the mechanisms of health data acquisition, clinical informatics, and the representation of healthcare knowledge. The second covers Biomedical Informatics and is a symposium of computational modeling, genomics, and proteomics. Here, the fusion of data science with medical sciences takes center stage.