Based on Chinese and English online data, this book discusses elasticity in health communication from a cross-cultural perspective.

In Vague Language, Elasticity Theory and the Use of 'Some', Nguyet Nhu Le and Grace Qiao Zhang present the first comprehensive study of the word 'some', focusing on its elasticity. In particular, they consider how 'some' is both a quantifier and a qualifier, has positive or negative meanings, and has local and global interpretations. They show that the word is used across a meaning continuum and can be used to convey a range of states, including approximation, uncertainty, politeness, and evasion. Finally, they demonstrate that the functions of 'some' are also multi-directional and non-categorical, consisting of four major functions (right amount of information, mitigation, withholding information, and discourse management). Based on naturally-occurring classroom data of L1 (American English) and L2 (Chinese- and Vietnamese-speaking learners of English) speakers, Vague Language shows that L2 speakers used 'some' more than L1 speakers and explores the significance of this, particularly taking account of speakers' language ability and cultural backgrounds. While this book focuses on the single word 'some', the authors' discussion has important implications for language studies more generally, as they call for a rethinking of our approaches to language study and more attention to its elasticity.

Ageing populations pose some of the foremost global challenges of this century. Drawing on an international pool of scholars, this cutting-edge Handbook surveys the micro, macro and institutional aspects of the economics of ageing. Structured in seven parts, the volume addresses a broad range of themes, including health economics, labour economics, pensions and social security, generational accounting, wealth inequality and regional perspectives. Each chapter combines a succinct overview of the state of current research with a sketch of a promising future research agenda. This Handbook will be an essential resource for advanced students, researchers and policymakers looking at the economics of ageing across the disciplines of economics, demography, public policy, public health and beyond. Chapter 37 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution (CC-BY) 4.0 license.

This book constitutes the revised selected papers of the First International Conference, AIBTR 2023, held in Nagpur, India, during September 22–23, 2023. The 7 full papers included in this volume were carefully reviewed and selected from 37 submissions. The papers contained in this book discuss the application of Artificial Intelligence in Biomedical Engineering for the Health Care industry.

Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry. - Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine - Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them - Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers

The vagina is an extraordinary, multifaceted part of the female body. The Vagina Unveiled explores its structure, function, and health considerations, with advice on hygiene, sexual health, menstrual care, and common medical concerns. Empowering and informative, this book promotes confidence and awareness about female anatomy.

Quantum Leadership: Creating Sustainable Value in Health Care, Sixth Edition focuses on the issue of leadership within the shifting landscape of health care. With clarity and depth of detail, the text features theories about contemporary leadership within today’s increasingly complex and diverse healthcare delivery system. It works from a model of complexity leadership, in which leadership is not limited to those with certain titles but an attribute that every healthcare worker can develop for success in fast-moving, information-overloaded organizations. The Sixth Edition focuses on supporting high levels of interdisciplinary teamwork as a key leadership strategy to further advance the skills necessary to lead complex, cross-departmental teams. The unique hallmark of this text is its focus on the postindustrial, complex and highly mobile modern healthcare system. The authors emphasize the importance of characteristics, elements, and role of leaders in guiding individuals and teams.

This book gathers contributions highlighting the role of women in science, with a focus on health and disease. Women have contributed in no small way to the wealth of knowledge and discoveries in various aspects of health. The 21st century has been dubbed the "Knowledge Economy" due to a substantial increase in the accessibility of information, leading individuals to become more knowledgeable and well-rounded. Given the fact that irrespective of the field of study, knowledge eventually decays, more women in the 21st century have been at the forefront extending the frontiers of knowledge in the field of STEMM (Science Technology Engineering Mathematics Medicine) - engaging in rigorous research and making significant contributions in the field. Letting their voices heard through their well-researched published studies is a significant way of encouraging other upcoming women scientist and bringing advances in disease diagnosis to achieve SDG3. The contributions in this book aim to increase visibility of women in the field of science and to serve as a source of inspiration to everyone.

This book explores potentially disruptive and transformative healthcare-specific use cases made possible by the latest developments in Internet of Things (IoT) technology and Cyber-Physical Systems (CPS). Healthcare data can be subjected to a range of different investigations in order to extract highly useful and usable intelligence for the automation of traditionally manual tasks. In addition, next-generation healthcare applications can be enhanced by integrating the latest knowledge discovery and dissemination tools. These sophisticated, smart healthcare applications are possible thanks to a growing ecosystem of healthcare sensors and actuators, new ad hoc and application-specific sensor and actuator networks, and advances in data capture, processing, storage, and mining. Such applications also take advantage of state-of-the-art machine and deep learning algorithms, major strides in artificial and ambient intelligence, and rapid improvements in the stability and maturity of mobile, social, and edge computing models.