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

Language is like a slingshot, stretching for various communicative targets. This book reveals the art of purposive and powerful language stretching.

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.

This text builds insight and breaks boundaries that have historically hampered nursing's professional progression and power as a stakeholder in an ever-changing global business-based healthcare arena. The Essential Guide to Strategic Planning for Nurses offers specific skill and knowledge-based instruction on business concepts, trends and issues that face the demographically and culturally diverse nursing workforce of the 21st century.

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

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.

This Handbook provides a thorough discussion of the most recent wave of technological (and organisational) innovations, frequently called “smart” and based on the digitisation of information. The acronym stands for "Self-Monitoring, Analysis and Reporting Technology". This new wave is one in a row of waves that have shaken up and transformed the economy, society and culture since the first Industrial Revolution and have left a huge impact on how we live, think, communicate and work: they have deeply affected the socioeconomic metabolism from within and humankind’s footprint on our planet. The Handbook analyses the origins of the current wave, its roots in earlier ones and its path-dependent nature; its current forms and actual manifestations; its multifarious impact on economy and society; and it puts forward some guesstimates regarding the probable directions of its further development. In short, the Handbook studies the past, the present and the future of smart technologies and digitalisation. This cutting-edge reference will appeal to a broad audience, including but not limited to, researchers from various disciplines with a focus on technological innovation and their impact on the socioeconomic system; students across different fields but especially from economics, social sciences and law studying questions related to radical technological change and its consequences, as well as professionals around the globe interested in the debate of smart technologies and socioeconomic transformation, from a multi- and interdisciplinary perspective.

This book constitutes refereed proceedings of the 8th Conference on Information and Communication Technologies of Ecuador, TICEC 2020, held in November 2020. Due to the COVID-19 pandemic the conference was held online. The 36 full and 7 short papers were carefully reviewed and selected from 117 qualified submissions. The papers are organized according to the following topical sections: biomedical sensors and wearables systems; data science; ICT ́s applications; industry 4.0; smart cities; software development; technology and environment.

Wireless communication is continuously evolving to improve and be a part of our daily communication. This leads to improved quality of services and applications supported by networking technologies. We are now able to use LTE, LTE-Advanced, and other emerging technologies due to the enormous efforts that are made to improve the quality of service in cellular networks. As the future of networking is uncertain, the use of deep learning and big data analytics is a point of focus as it can work in many capacities at a variety of levels for wireless communications. Implementing Data Analytics and Architectures for Next Generation Wireless Communications addresses the existing and emerging theoretical and practical challenges in the design, development, and implementation of big data algorithms, protocols, architectures, and applications for next generation wireless communications and their applications in smart cities. The chapters of this book bring together academics and industrial practitioners to exchange, discuss, and implement the latest innovations and applications of data analytics in advanced networks. Specific topics covered include key encryption techniques, smart home appliances, fog communication networks, and security in the internet of things. This book is valuable for technologists, data analysts, networking experts, practitioners, researchers, academicians, and students.