Automating Case-Based Learning in Obstetrics and Gynecology: Validation of a Locally Deployed Large Language Model. [PDF]
Hu X, Luo X, Zhao Y, Zheng B.
europepmc +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Learning Between the Lines: Anaesthetists' Conceptions of the Implicit Curriculum in Postgraduate Education. [PDF]
Chin H +3 more
europepmc +1 more source
Using 640 curated electrolyte formulations, we apply data‐driven analysis to reveal how molecular features govern coulombic efficiency (CE) in lithium metal batteries. Fluorine content correlates positively with CE, while oxygen, carbon, and higher boiling points correlate negatively.
Minh Van Duong +6 more
wiley +1 more source
Linking Healthcare Quality and Knowledge Management in Traditional and Ethnomedicine-Oriented Hospitals: A Scoping Review and Implementation Framework. [PDF]
Du X, Wang N, Aihemaijiang A, Zhao L.
europepmc +1 more source
Acquisition of Tacit Knowledge in a Research Laboratory
Bond-Robinson, Janet +2 more
openaire +1 more source
Mg─Te chalcogenides address the leakage scaling trade‐off in ultrathin selector‐only memory. Structural partitioning in multiphase Mg─Te, combined with highly ionic Mg─Te bonding and Hf interfacial engineering, supports reliable 5 nm thickness operation at low write voltage with suppressed leakage current, narrow threshold voltage distributions, 10 ns ...
Yoori Seo +5 more
wiley +1 more source
Impact of artificial intelligence intervention on awareness of anatomical landmarks in laparoscopic gastrectomy: An exploratory study. [PDF]
Hasegawa T +12 more
europepmc +1 more source
Volatile Memristive Devices With Tunable Temporal Dynamics For Event‐Based Sensing
Tunable volatile memristive devices can serve various neural‐inspired tasks that require different time windows of information retention. The ionic‐based volatility of the presented Pt/a‐STO/TaOx/Ta device stack can be reproducibly and controllably tuned in multiple ways.
Dimitrios Spithouris +7 more
wiley +1 more source
Experience rates of current and future geothermal power technologies. [PDF]
Mueller F, Steffen B, Schmidt TS.
europepmc +1 more source

