A team of researchers presents a novel interdisciplinary strategy to tackle the complex challenge of Scope 3 emissions within ...
Background Transcatheter aortic valve replacement (TAVR) has increasingly emerged as one of the primary treatments for ...
Can automation solve the bottlenecks in immunogenicity testing? Dr. Rob Dodge explains the role of robotics and machine ...
BACKGROUND: Medically tailored meals (MTM) have unanswered implementation questions. Providing MTM for a specific individual, ...
Retrieval-Augmented Generation (RAG) is critical for modern AI architecture, serving as an essential framework for building ...
Objective Although socioeconomic status has been linked to various rheumatoid arthritis (RA)-related outcomes, evidence on ...
Exercise physiologists (EPs) are increasingly recognised for their role in supporting people with lived experience of mental ...
Predicting Workplace Conflicts through Intersectional Analysis of Social Identities of Employees: A Multilevel Statistical ...
As the electricity market is progressively liberalized, virtual bidding has emerged as a novel participation mechanism attracting increasing attention. This paper integrates evolutionary game theory ...
Marwitz et al. demonstrate the use of large language models to build semantic concept graphs from materials science abstracts and train a machine learning model to predict emerging topic combinations ...
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