Results 171 to 180 of about 96,874 (263)
Evaluation Models for Undergraduate Nursing Clinical Skills: A Scoping Review Protocol.
Metersky K +4 more
europepmc +1 more source
Current practices and perceptions of ChatGPT in gynecologic oncology: results from a cross-sectional questionnaire (TRSGO-AI-001). [PDF]
Yalçın İ +5 more
europepmc +1 more source
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan +8 more
wiley +1 more source
Effects of cueing interventions on online learning outcomes: a meta-analytic review of 40 studies. [PDF]
Ma Y, Hu X, Peng Q, Wang L.
europepmc +1 more source
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Assessment of the impact of a structured training program on knowledge of research methodology among anesthesiology trainees at a tertiary referral cancer center. [PDF]
Sivateja M, Ranganathan P.
europepmc +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
VARIABILITY IN TEACHING LITERATURE AT SCHOOL AS A METHODOLOGICAL PROBLEM AND EDUCATIONAL POLICY [PDF]
openaire +1 more source
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source

