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Public Health, Public Health Education, and their Future Prospects
A number of studies have pointed out that currently, medical schools may have failed to supply self-directed lifelong learners and qualified healthcare workers. Therefore, in recent years, the medical teaching modes have been consistently reformed. The new generation of novel education modes such as Research-Based Learning (RBL), Problem-Based Learning PBL), Team-Based Learning (TBL) have the characteristics of universality, interactivity, and promptness, which empower instructors and students to learn and grow together. Moreover, the reform of medical teaching modes has been significantly facilitated in the COVID19 era due to public’s rising awareness of public health and more obviously, pandemic prevention policies such as travel restrictions. For instance, many countries have launched remote teaching mode in order to provide consistent education service with high quality. These novel teaching modes can provide amelioration to the traditional education modes and may lead the education system to another prosperity.
New types of Neutrosophic Set/Logic/Probability, Neutrosophic Over-/Under-/Off-Set, Neutrosophic Refined Set, and their Extension to Plithogenic Set/Logic/Probability, with Applications
This book contains 37 papers by 73 renowned experts from 13 countries around the world, on following topics: neutrosophic set; neutrosophic rings; neutrosophic quadruple rings; idempotents; neutrosophic extended triplet group; hypergroup; semihypergroup; neutrosophic extended triplet group; neutrosophic extended triplet semihypergroup and hypergroup; neutrosophic offset; uninorm; neutrosophic offuninorm and offnorm; neutrosophic offconorm; implicator; prospector; n-person cooperative game; ordinary single-valued neutrosophic (co)topology; ordinary single-valued neutrosophic subspace; α-level; ordinary single-valued neutrosophic neighborhood system; ordinary single-valued neutrosophic base a...
e-Learning, e-Education, and Online Training
This four-volume set constitutes the post-conference proceedings of the 9th EAI International Conference on e-Learning, e-Education, and Online Training, eLEOT 2023, held in Yantai, China, during August 17-18, 2023. The 104 full papers presented were selected from 260 submissions. The papers reflect the evolving landscape of education in the digital age. They were organized in topical sections as follows: IT promoted teaching platforms and systems; AI based educational modes and methods; automatic educational resource processing; educational information evaluation.
Contagious
Upper Saddle River, N.J. : Creative Homeowner,
Advances in Petrochemical Engineering and Green Development
Advances in Petrochemical Engineering and Green Development is a compilation of selected papers from the 3rd International Conference on Petrochemical Engineering and Green Development (ICPEGD 2022) and focuses on the research of petrochemical engineering. The proceedings features the most cutting-edge research directions and achievements related to geology and green development. Subjects in this proceedings include: Petroleum and Petrochemical Engineering Fossil Technologies Oil & Gas Production Renewable Energy Sources and Technology Green Synergy Innovation Urban Crisis Management The collection of papers in this proceedings will promote the development of petrochemical industry and energy, resource sharing, flexibility and high efficiency. Thereby, it will promote scientific information interchange between scholars from top universities, research centers and high-tech enterprises working all around the world.
AI and the Bomb
This book provides a coherent, innovative, and multidisciplinary examination of the potential effects of AI technology on nuclear strategy and escalation risk. Its findings have significant theoretical and policy ramifications, as well as contributing to the literature on the impact of military force and technological change.
The Google Way
For readers seeking deeper insights, 'The Google Way' investigates the history and unconventional strategies that make Google a very different (and very inspiring) company.
The AI Commander
What does AI mean for the role of humans in war? The AI Commander addresses the largely neglected question of how the fusion of machines into the war machine will affect the human condition of warfare. James Johnson emphasizes the "mind" - both human and machine - and the mechanisms of thought (intelligence, consciousness, emotion, memory, experience, etc.) to consider the effects of AI and autonomy on the human condition of war. Johnson investigates the vexing and misunderstood - and at times contradictory - ethical, moral, and normative implications, whether incremental, transformative, or revolutionary, of synthesizing man and machine in future algorithmic warfare - or AI-enabled centaur ...
Non-Profit-Maximizing Behavior in Supply Chain Management
Non-profit-maximizing behavior in supply chain management focuses on the human component in supply chain management. It develops behavioral models that consider individual and social preferences of supply chain members in order to improve our understanding of actual decision-making in supply chain management. The author challenges the common assumption of a selfish homo economicus and introduces the human component in three experimental studies: In the first study, he examines the effect of individual risk preferences in the Newsvendor context. In the second study, a common group identity to overcome incentive conflicts in forecast sharing is studied. The third study explores underlying cognitive processes in contractual decision-making. Potential readership includes scholars and graduate students who are interested in the field of behavioral operations management and practitioners looking for behavioral aspects of decision making in supply chain management.
Machine Learning Techniques for Improved Business Analytics
Analytical tools and algorithms are essential in business data and information systems. Efficient economic and financial forecasting in machine learning techniques increases gains while reducing risks. Providing research on predictive models with high accuracy, stability, and ease of interpretation is important in improving data preparation, analysis, and implementation processes in business organizations. Machine Learning Techniques for Improved Business Analytics is a collection of innovative research on the methods and applications of artificial intelligence in strategic business decisions and management. Featuring coverage on a broad range of topics such as data mining, portfolio optimization, and social network analysis, this book is ideally designed for business managers and practitioners, upper-level business students, and researchers seeking current research on large-scale information control and evaluation technologies that exceed the functionality of conventional data processing techniques.
