Results 231 to 240 of about 6,836,023 (328)

The dynamics of educational transformation: Empirical insights into how innovation, collaboration, and professional development influence digital resource usage across 81 countries. [PDF]

PLoS One
Yuting L, Binti Ahmad Rashid RA, Xiaoying Z, Cheng C.   +3 more
europepmc   +1 more source

Visionary Leadership in Cancer Care: An Interview With Professor Timothy J. Eberlein

Annals of Gastroenterological Surgery, EarlyView.
Professor Timothy J. Eberlein and Professor Ken Shirabe, President of the Japanese Society of Gastroenterological Surgery, during their interview discussing the vision, strategic framework, and leadership that shaped the development of the Siteman Cancer Center into a world‐class institution. ABSTRACT This is a short interview with Professor Timothy J.
Ken Shirabe, Koshi Mimori, Masaki Mori, Yuko Kitagawa   +3 more
wiley   +1 more source

Examining the impact of growth mindset and lifelong learning on teacher performance among university faculty: The mediating role of professional development. [PDF]

PLoS One
Luo Y, Bi Y, Wang L.
europepmc   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

The state of knowledge of Polish teachers about oral health and methods of preventing dental caries in children - a sociomedical survey. [PDF]

BMC Oral Health
Kobylińska A, Gozdowski D, Olczak-Kowalczyk D.   +2 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

Digital competence for sustainable education of pre-service teachers: a systematic literature review (2014-2024). [PDF]

Front Psychol
Zhang L, Yang C, Zheng Y.
europepmc   +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

Mapping teachers' awareness of artificial intelligence in the changing education paradigm: insights from a mixed methods inquiry. [PDF]

Front Psychol
Bulut R.
europepmc   +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