Results 201 to 210 of about 1,393,621 (358)
We retrospectively analyzed clinical data from patients who underwent hepatectomy for hepatocellular carcinoma (HCC) using LCA‐based grading system. These findings provide a new risk stratification framework for the design of precision surgery to treat patients with HCC.
Ling Liu +5 more
wiley +1 more source
Using a nationwide Japanese inpatient database, we evaluated whether broad‐spectrum antibiotic prophylaxis improves postoperative outcomes after pancreatoduodenectomy compared with narrow‐spectrum antibiotics. In propensity score–weighted analyses of 45 099 patients, broad‐spectrum prophylaxis was associated with significantly lower rates of intra ...
Hiroki Kitagawa +10 more
wiley +1 more source
Understanding Well-Being in the Classroom: A Study on Italian Primary School Teachers Using the JD-R Model. [PDF]
Trocino MF, Schettino G, Capone V.
europepmc +1 more source
PRIMARY SCHOOL TEACHERS’ KNOWLEDGE AND SKILLS OF MEASUREMENT AND ASSESSMENT: A CASE OF SWAZILAND [PDF]
Lindiwe Rose Matsenjwa +1 more
openalex +1 more source
INNOVATIVE FORMING TECHNOLOGIES CIVIC COMPETENCE IN FUTURE PRIMARY SCHOOL TEACHERS
O.O. Yastrub
openalex +1 more source
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +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

