Results 71 to 80 of about 46,095 (261)

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

A Short Message Service Intervention for Improving Infant Feeding Practices in Shanghai, China: Planning, Implementation, and Process Evaluation

JMIR mHealth and uHealth, 2018
BackgroundAlthough mobile health (mHealth) has been widely applied in health care services, few studies have reported the detailed process of the development and implementation of text messaging (short message service, SMS) interventions ...
Jiang, Hong, Li, Mu, Wen, Li Ming, Baur, Louise A, He, Gengsheng, Ma, Xiaoying, Qian, Xu   +6 more
doaj   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

Advanced Intelligent Discovery, EarlyView.
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu, Claire Schlesinger, Karan Mudaliar, Jordan Leung, Robin Walters, Peter Schindler   +5 more
wiley   +1 more source

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

A Comparison Between Impact of a Health Education Program Using In-situ Training and Text-Messaging on Lifestyle and Blood Pressure in Military Personnel at Risk of Hypertension

آموزش بهداشت و ارتقاء سلامت ایران, 2019
Background and Objective: A basic intervention to reduce prevalence of the disease is educating healthy lifestyle particularly for those who are at risk.
Mohsen Saffari, Hormoz Sanaeinasab, Hojat Rashidi-Jahan, Mohammad-hassan Hajijafar-Namazi, Mojtaba Sepandi, Mohammad Samadi, Esfandiar Azad-Marzabadi   +6 more
doaj  

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 effectiveness of text message-based self-management interventions for poorly-controlled diabetes: A systematic review

Digital Health, 2017
Background Poorly controlled diabetes leads to debilitating complications at a significant cost to health systems. Text messaging is an ideal platform for the delivery of self-management interventions to patients with poorly controlled diabetes due to ...
Rosie Dobson, Robyn Whittaker, Leila Pfaeffli Dale, Ralph Maddison   +3 more
doaj   +1 more source

To text or not to text? Acceptability of WeChat and text messaging intervention to promote tobacco control assistance among parents who smoke in rural China

Tobacco Induced Diseases, 2019
Introduction Although the use of mobile health (mHealth) to promote tobacco control and smoking cessation interventions has been available in developed countries, their use in low- and middle-income countries (i.e. in China) is lacking.
Xiaoxiao Chen⁺, Duan Zhao⁺, Tong Wen, Xia Xiao, Zixian Pan, Jingyi He, Pinpin Zheng, Wei Hao, Haijiang Lin, Abu S. Abdullah   +9 more
doaj   +1 more source

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