Results 111 to 120 of about 232,712 (300)

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
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, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source

Text messaging, pragmatic competence, and affective facilitation in the EFL context: A pilot study

Canadian Journal of Applied Linguistics, 2010
Since text messaging is a widely popular method of communication among young people, the paper tries to investigate whether it might have some practical application in the EFL classroom.
Madeline Haggan
doaj  

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

THE RELATIONSHIP BETWEEN EXPOSURE TO TEXTISM AND SPELLING COMPETENCY

Language Literacy: Journal of Linguistics, Literature, and Language Teaching
The purpose of the study was to investigate the relationship between exposure to textism and spelling competency. A quasi-experimental research design was used to determine how the independent variable (exposure to textism) influenced the dependent ...
Sekgalabje Isaiah Ramaoka, Tebogo Johannes Kekana, Malesela Montle   +2 more
doaj   +1 more source

The Evaluation of Web-based Software for Sending Medication Adherence Reminders in Infectious Disease Patients [PDF]

, 2014
Background: Incomplete drug adherence can cause problems for patients as well as physicians and cost billions of dollars each year throughout the globe. One of the tools that can help patients and physicians is short text messaging (SMS).
Kambiz Bahaadinbeigy, Alireza Mousaali, Simin Salehi Nejad,, Sadrieh Haj Esmail Gohari, Mahdieh Haj Mohammad Hassani Ravari,   +1 more
core  

LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?

Advanced Intelligent Discovery, EarlyView.
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler, Manuel Raimann, Marc Münker, Maxim Rosin, Joaquin E. Urrutia Gómez, Christof M. Niemeyer, Markus Reischl, Luca Rettenberger   +7 more
wiley   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
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, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source

Text messaging raises medicolegal issues

BMJ, 2003
EDITOR—Pal's personal view on communicating with patients by mobile phone text messaging is a novel insight into how doctors are exploiting new technology to benefit patients.1 It also raises some interesting medicolegal issues. The Medical Defence Union has received several calls on its medicolegal advice line from members who believe that they …
openaire   +3 more sources

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
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, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source