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Identifying Future Disease Hot Spots
Recent high-profile outbreaks such as Ebola and Zika have illustrated the transnational nature of infectious diseases. Countries that are most vulnerable to outbreaks may be higher priorities for technical support. RAND’s Infectious Disease Vulnerability Index should help U.S. government and international agencies identify these countries and inform programming to preemptively mitigate the spread and effects of potential transnational outbreaks.
Containing Contagion
Do states have a duty to prevent infectious disease outbreaks from spreading beyond their borders? The fields of global health and international relations are increasingly concerned with the responsibilities of nations to respond to disease outbreaks in a way that safeguards their neighbors as well as the broader international community. In Containing Contagion, Sara E. Davies focuses on one of the world's most pivotal (and riskiest) regions in the field of global health—Southeast Asia, which in recent years has responded to a wave of emerging and endemic infectious disease outbreaks ranging from Nipah, SARS, and avian flu to dengue and Japanese encephalitis. Between 2005 and 2010, Davies ...
Deep Learning Applications in Operations Research
The model-based approach for carrying out the classification and identification of tasks has led to progression of the machine learning paradigm in diversified fields of technology. Deep Learning Applications in Operations Research presents the varied applications of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomenon. Such fields as object classification, speech recognition, and face detection have sought extensive applications of artificial intelligence (AI) and machine learning as well. The application of AI and ML has also become increasingly common in the domains ...
Public Opinion, Public Policy, and Smoking
Public Opinion, Public Policy, and Smoking tracks Americans’ changing attitudes about cigarette smoking over the last century. With data from more than five thousand public and privately conducted polls, this book carefully examines how Americans came to understand the health risks of smoking; how the tobacco industry sought to reframe smoking; and how public opinion support for tobacco control affected lawsuits, elections, and public policies. This book tests several well-known linkage models that connect public opinion with public policy. It shows that conventional wisdom about public opinion and tobacco control policy is often mistaken. This book offers the first in-depth look at American public opinion and cigarette smoking during the last century.
Information Management and Big Data
This book constitutes the refereed proceedings of the 8th International Conference on Information Management and Big Data, SIMBig 2021, held as a virtual event in December 2021. The 25 revised full papers and 2 revised short papers presented were carefully reviewed and selected from 67 submissions. The papers are organized in topical sections on data mining and applications; deep learning and applications; data-driven software engineering; health, NLP, and social media; image processing, machine learning, and semantic web.
The Long 2020
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Humanity Driven AI
Artificial Intelligence (AI) is changing the world around us, and it is changing the way people are living, working, and entertaining. As a result, demands for understanding how AI functions to achieve and enhance human goals from basic needs to high level well-being (whilst maintaining human health) are increasing. This edited book systematically investigates how AI facilitates enhancing human needs in the digital age, and reports on the state-of-the-art advances in theories, techniques, and applications of humanity driven AI. Consisting of five parts, it covers the fundamentals of AI and humanity, AI for productivity, AI for well-being, AI for sustainability, and human-AI partnership. Humanity Driven AI creates an important opportunity to not only promote AI techniques from a humanity perspective, but also to invent novel AI applications to benefit humanity. It aims to serve as the dedicated source for the theories, methodologies, and applications on humanity driven AI, establishing state-of-the-art research, and providing a ground-breaking book for graduate students, research professionals, and AI practitioners.
Total Defence Forces in the Twenty-First Century
Total defence, as a concept, combines and extends military and civil defence: in a state of war or emergency, all social institutions mobilize to defend the state. Total defence forces, led by a diverse workforce of defence and security professionals, are critical to both national defence and international security goals. Total Defence Forces in the Twenty-First Century looks at the various groups that make up this workforce: members of the military’s regular force, reservists, defence civil servants, and contractors working for private military and security companies. When civilian staff and military personnel work towards a common goal, their distinct professional cultures and identities...
Data Management, Analytics and Innovation
This book presents the latest findings in the areas of data management and smart computing, machine learning, big data management, artificial intelligence, and data analytics, along with advances in network technologies. The book is a collection of peer-reviewed research papers presented at Fifth International Conference on Data Management, Analytics and Innovation (ICDMAI 2021), held during January 15–17, 2021, in a virtual mode. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.
