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Innovating Health Against Future Pandemics
Innovating Health Against Future Pandemics covers the key aspects which drive heterogeneity in an individual's response to COVID-19, including age, sex, genetic makeup, immune responses, comorbidities, and viral strains/loads. This book also reviews the case examples from other disciplines to highlight areas where precision medicine and AI could be applied for the improvement of pandemic management. This includes research, primary and secondary prevention, isolation/tracking, hospitalization and patient management, diagnosis, and treatments. Lastly, drawing on past experiences for each of the areas this book provides practical recommendations to manage future pandemics. COVID-19 offered an unprecedented occasion to test the impact of digitally enabled solutions within precision medicine for public health and for accelerating their deployment and adoption. - Explores the benefits of AI technologies in triage, diagnosis, and risk prediction - Reviews the innovative clinical trial designs in terms of platforms and decentralization - Covers Healthcare workload, including remote monitoring to help prevent burnout
The Oxford Handbook of Experimental Syntax
This volume showcases the contributions that formal experimental methods can make to syntactic research in the 21st century. Syntactic theory is both a domain of study in its own right, and one component of an integrated theory of the cognitive neuroscience of language. It provides a theory of the mediation between sound and meaning, a theory of the representations constructed during sentence processing, and a theory of the end-state for language acquisition. Given the highly interactive nature of the theory of syntax, this volume defines "experimental syntax" in the broadest possible terms, exploring both formal experimental methods that have been part of the domain of syntax since its ince...
Performance Recording of Animals - State of the Art, 2004
"This publication contains the proceedings of the 34th Biennial Session of the International Committee for Animal Recording (ICAR) and the Interbull Meeting held in Sousse, Tunisia from 28th May to 3rd June 2004.The book is divided in five sessions, containing in total 50 technical papers and reports. One key session debates the traceability and all subjects involved in animal health recording. This publication also presents, for the first time, the statistics of the ""Yearly inquiry on the situation of milk recording in ICAR member countries. Results for the years 2001 and 2002"" are up-dated to April 2004. About 35 pages are devoted to national milk productions, their recording costs, posi...
Breeding, production recording, health and the evaluation of farm animals
"This publication focuses on the various aspects of domestic animal recording, aimed at improving the management of herds and increasing their productivity. New strategies for recording are illustrated and the most updated technologies are presented, on the basis of national experiences where such technologies are already adopted. Although cattle is the prominent species, two parts are dedicated to small ruminants recording and to buffalo recording. Future challenges and opportunities for further development of ICAR and the definition of the future scenarios in the animal recording sector are also described. A special section is dedicated to 'Improving the health traits by recording and eval...
AI for Disease Surveillance and Pandemic Intelligence
This book aims to highlight the latest achievements in the use of artificial intelligence for digital disease surveillance, pandemic intelligence, as well as public and clinical health surveillance. The edited book contains selected papers presented at the 2021 Health Intelligence workshop, co-located with the Association for the Advancement of Artificial Intelligence (AAAI) annual conference, and presents an overview of the issues, challenges, and potentials in the field, along with new research results. While disease surveillance has always been a crucial process, the recent global health crisis caused by COVID-19 has once again highlighted our dependence on intelligent surveillance infrastructures that provide support for making sound and timely decisions. This book provides information for researchers, students, industry professionals, and public health agencies interested in the applications of AI in population health and personalized medicine.
Cross-Linguistic Studies
Issues in Japanese Psycholinguistics from Comparative Perspectives compiles over 30 state-of-the-art articles on Japanese psycholinguistics. It emphasizes the importance of using comparative perspectives when conducting psycholinguistic research. Psycholinguistic studies of Japanese have contributed greatly to the field from a cross-linguistic perspective. However, the target languages for comparison have been limited. Most research focuses on English and a few other typologically similar languages. As a result, many current theories of psycholinguistics fail to acknowledge the nature of ergative-absolutive and/or object-before-subject languages. The cross-linguistic approach is not the only...
Computer Vision
Computer vision has made enormous progress in recent years, and its applications are multifaceted and growing quickly, while many challenges still remain. This book brings together a range of leading researchers to examine a wide variety of research directions, challenges, and prospects for computer vision and its applications. This book highlights various core challenges as well as solutions by leading researchers in the field. It covers such important topics as data-driven AI, biometrics, digital forensics, healthcare, robotics, entertainment and XR, autonomous driving, sports analytics, and neuromorphic computing, covering both academic and industry R&D perspectives. Providing a mix of breadth and depth, this book will have an impact across the fields of computer vision, imaging, and AI. Computer Vision: Challenges, Trends, and Opportunities covers timely and important aspects of computer vision and its applications, highlighting the challenges ahead and providing a range of perspectives from top researchers around the world. A substantial compilation of ideas and state-of-the-art solutions, it will be of great benefit to students, researchers, and industry practitioners.
Semantic Modeling for Data
What value does semantic data modeling offer? As an information architect or data science professional, let’s say you have an abundance of the right data and the technology to extract business gold—but you still fail. The reason? Bad data semantics. In this practical and comprehensive field guide, author Panos Alexopoulos takes you on an eye-opening journey through semantic data modeling as applied in the real world. You’ll learn how to master this craft to increase the usability and value of your data and applications. You’ll also explore the pitfalls to avoid and dilemmas to overcome for building high-quality and valuable semantic representations of data. Understand the fundamental...
Computational approaches to semantic change
Semantic change — how the meanings of words change over time — has preoccupied scholars since well before modern linguistics emerged in the late 19th and early 20th century, ushering in a new methodological turn in the study of language change. Compared to changes in sound and grammar, semantic change is the least understood. Ever since, the study of semantic change has progressed steadily, accumulating a vast store of knowledge for over a century, encompassing many languages and language families. Historical linguists also early on realized the potential of computers as research tools, with papers at the very first international conferences in computational linguistics in the 1960s. Suc...
