Results 211 to 220 of about 139,940 (359)

Effect of Broad‐Spectrum Antibiotic Prophylaxis on Post‐Pancreatoduodenectomy Infectious Complications: Nationwide Inpatient Database Study in Japan

Annals of Gastroenterological Surgery, EarlyView.
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, Shotaro Aso, Yuki Hirano, Kenichiro Uemura, Keita Kouzu, Satoru Matsuda, Hiroki Matsui, Kiyohide Fushimi, Junichi Sasaki, Yuko Kitagawa, Hideo Yasunaga   +10 more
wiley   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
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, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Understanding Well-Being in the Classroom: A Study on Italian Primary School Teachers Using the JD-R Model. [PDF]

Eur J Investig Health Psychol Educ
Trocino MF, Schettino G, Capone V.
europepmc   +1 more source

Finnish Teachers’ Beliefs and Languaging Approaches in Primary Schools

Eunji Kim
openalex   +1 more source

Reflections on the Training of Primary School Teachers in Poor Areas under the Core Literacy [PDF]

, 2018
Zeng Bi
openalex   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
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, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

THE SYNTHESIS AND CONFIRMATION OF COMPONENTS AND INDICATORS OF TEACHERS' INNOVATION COMPETENCIES AT SUANMON SCHOOL UNDER NAKHON RATCHASIMA PRIMARY EDUCATIONAL SERVICE AREA OFFICE 1

Akkhapon Kesakoson
openalex   +1 more source

The Attitude of Future Primary School Teachers towards National Values

, 2015
Jolanta Abramauskienė
openalex   +1 more source

AI Powered Biobanks From Static Archives to Dynamic Discovery Engines

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin, Yutian Feng, Wenrui Ma, Yuxin Su, Li Min, Juan Liu   +5 more
wiley   +1 more source

Knowledge and Awareness of Orthodontic Malocclusions and Optimal Treatment Timing Among Primary School Teachers in Andhra Pradesh. [PDF]

Cureus
Dokku A, Angelina Praisy V, Peddu R, Lanka D, Pichai S, Talapaneni AK, Vetriselvan A, Jakati S.   +7 more
europepmc   +1 more source