Results 231 to 240 of about 939,027 (310)
Amniotic sheets: Imaging features, subtypes, and obstetric outcomes. [PDF]
Zhang A, Rosner M, Toscano M, Gomez E.
europepmc +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
Fetal and maternal surveillance in high-risk pregnancy: tools, timing, and trends. [PDF]
Piron-Dumitrascu M +3 more
europepmc +1 more source
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
Organizational Forms and Welfare Coalitions: Corporate Law and the Movement for Social Insurance in the US and UK. [PDF]
Adereth M.
europepmc +1 more source
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker +3 more
wiley +1 more source
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher +4 more
wiley +1 more source
Relationship between bioelectrical impedance-derived muscle quality and physical activity, sedentary behavior, or sleep using compositional data analysis (CoDA). [PDF]
Asano Y +8 more
europepmc +1 more source
The impact of machine learning on ethological neuroscience. [PDF]
Hidalgo-Gadea G +2 more
europepmc +1 more source

