Two related discoveries detailing nanocrystalline mineral formation and dynamics have broad implications for managing nuclear ...

Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Tian, Y. (2025) Artificial Intelligence Acceptance of High School English Teachers and Its Influencing Factors —Mixed Research Based on the UNESCO Framework for Teachers’ AI Competence. Open Journal ...

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing ...

Most of the plastic products we use are made through injection molding, a process in which molten plastic is injected into a ...

Diffusion Language Models (DLMs) explores the potential of diffusion-based models to exceed the generative quality of traditional autoregressive language models, while overcoming their current ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Innovative drugs represent a critical approach to addressing ...

Abstract: Unsupervised person re-identification (Re-ID) requires learning semantic representation without identity labels. Existing methods entangle identity-related person features with ...

State Key Laboratory of Environment-Friendly Energy Materials, School of Materials and Chemistry, Southwest University of Science and Technology, Mianyang 621010, China ...