Results 211 to 220 of about 184,462 (289)

Thematic insights into the impact of large language models on K-12 education in rural India from student volunteers' perspectives. [PDF]

Sci Rep
Goyal H, Garg G, Mordia P, Ramachandran V, Kumar D, Challa JS.   +5 more
europepmc   +1 more source

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

Advanced Intelligent Discovery, EarlyView.
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob, Karsten Reuter, Johannes T. Margraf   +2 more
wiley   +1 more source

Sustainable professional growth through digital mentorship: evidence from language teachers in low-resource settings. [PDF]

Sci Rep
Hussain S, Debreli E, Farman M.
europepmc   +1 more source

ATTITUDE OF TEACHERS TOWARDS IN-SERVICE TRAINING FOR THE IMPROVEMENT IN QUALITY OF TEACHING AT SCHOOL LEVEL

, 2017
Nikhat, Zebun Nisa Khan
openalex   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

The role of teachers in the prevention and management of childhood obesity among school-aged children in Ghana: a cross-sectional study. [PDF]

Front Public Health
Kayitesi C, Tagoe N, Acheampong PR.
europepmc   +1 more source

Evaluating an In-service English Teacher Training Program from Multiple Perspectives

, 2008
NaYoonHee, 김형선, AhnByungkyoo
openalex   +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

Teaching Mindfulness-Based Programs online: perceived costs and benefits. [PDF]

BMC Psychol
Burton AM, Crane RS, Griffith GM.
europepmc   +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