Results 211 to 220 of about 636,552 (295)
Existential Identity, Ontological Insecurity and Mental Well-being in the Workplace [PDF]
Ashman, Ian, Gibson, Caroline
core
Abstract Transformer‐based molecular models pretrained on SMILES strings demonstrate strong performance in property prediction. However, these model often lack explicit integration of molecular surface charge distributions that govern intermolecular interactions such as hydrogen bonding and polarity.
Tae Hyun Kim +2 more
wiley +1 more source
Normative consciousness, perception of group norm, and frequency of whispering : focusing on private and public self-consciousness and seat position [PDF]
拓彦 出口, Takuhiko Deguchi
openalex
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
Converting to and Nourishing Ecological Consciousness-Individually and Collectively [PDF]
Schaefer, Jame
core +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Review Article: 'Discourse in late modernity: rethinking critical discourse analysis' By Lilie Chouliaraki & Norman Fairclough. Edinburgh: Edinburgh University Press, 1999; pp. 224. [PDF]
O'Regan, John
core +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source

