Results 161 to 170 of about 95,816 (267)

The development and validation of the AI-supported self-regulated science and mathematics learning scale (AI-SSRSML) among secondary school students in Saudi Arabia. [PDF]

BMC Psychol
Alatoai AA, Alshahri AS.
europepmc   +1 more source

Topology‐Aware Deep Learning on Higher‐Order Structures for Drug Response Prediction

Advanced Science, EarlyView.
We present TopDr, a topology‐aware deep learning framework that encodes both drugs and cell lines as multiscale simplicial complexes, capturing interactions at the 0‐, 1‐, and 2‐simplex levels. By jointly integrating local higher‐order neighborhoods and global topological structures, TopDr generates enriched representations for sensitivity prediction ...
Cong Shen, Guancen Lin, Chuan‐Shen Hu, Yong Wang   +3 more
wiley   +1 more source

Exploring the impact of virtual reality-based mathematics learning on students' motivation: Protocol for a systematic review and meta-analysis. [PDF]

PLoS One
Novita S, Setyowibowo H, Wijayanti PAK, Erwina W, Yudiana W, Dermawan Purba F, Hafny Noer A.   +6 more
europepmc   +1 more source

Digital support principles for sustained mathematics learning in disadvantaged students. [PDF]

PLoS One, 2020
Reinhold F, Hofer SI, Hoch S, Werner B, Richter-Gebert J, Reiss K.   +5 more
europepmc   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

Advanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

Factors Influencing College Students' Generative Artificial Intelligence Usage Behavior in Mathematics Learning: A Case from China. [PDF]

Behav Sci (Basel)
Lin W, Jiang P.
europepmc   +1 more source

PhosSight: A Unified Deep Learning Framework Boosting and Accelerating Phosphoproteome Identification to Enable Biological Discoveries

Advanced Science, EarlyView.
PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang, Zhiyuan Cheng, Chengying She, Hongwei Zhao, Jiahui Zhang, Lin Lv, Zhihao Yan, Hongwen Zhu, Lizhuang Liu, Yan Fu, Xinpei Yi   +10 more
wiley   +1 more source

Analysis of Gender Issues in Computational Thinking Approach in Science and Mathematics Learning in Higher Education. [PDF]

Eur J Investig Health Psychol Educ
De la Hoz Serrano A, Melo Niño LV, Álvarez Murillo A, Martín Tardío MÁ, Cañada Cañada F, Cubero Juánez J.   +5 more
europepmc   +1 more source

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

Advanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh, Ki‐bum Lee, Junghyeon Lee, Seunghee Cho, Malkeshkumar Patel, Hangfei Li, Yu Wen, Ye Zhou, Joondong Kim   +8 more
wiley   +1 more source

A Food-Based Science, Technology, Engineering, Arts, and Mathematics Learning Program May Improve Preschool Children's Science Knowledge and Language Skills in Rural North Carolina. [PDF]

Nutrients
Stage VC, Dixon JB, Grist P, Wu Q, Hegde AV, Lee TD, Lundquist R, Goodell LS.   +7 more
europepmc   +1 more source