Results 221 to 230 of about 3,096,949 (329)

Final report from the primary phase : pre-school, school and family influences on children's development during key stage 2 (age 7-11) [PDF]

, 2008
Siraj-Blatchford, Iram, Sylva, Kathy, Taggart, Brenda   +2 more
core  

Highlighting Recent Progress in Fiber Energy Harvesters: From Working Principles to Future Perspectives

Advanced Science, EarlyView.
Fiber energy harvesters offer unprecedented flexibility and a unique capacity for integration into commercial textiles, overcoming the limitations of bulky and rigid conventional devices. This review summarizes recent advances in fiber‐based energy harvesting and provides strategic outlooks to accelerate technological progress in the field. ABSTRACT As
Hanhwi Jang, Junseong Ahn, Yongrok Jeong, Sohee Jeon, Soon Hyoung Hwang, Min‐Wook Oh, Jun‐Ho Jeong, Inkyu Park, Yeon Sik Jung   +8 more
wiley   +1 more source

Does Daytime Sleepiness Moderate the Relationship Between Working Memory and Academic Performance in Schoolchildren? A Pilot Study. [PDF]

Clocks Sleep
Malykh S, Demareva V.
europepmc   +1 more source

Machine‐Learning Decomposition Identifies a Big Two Structure in Human Personality with Distinct Neurocognitive Profiles

Advanced Science, EarlyView.
Using machine learning on a mega‐scale global dataset (n = 1,336,840) reveals a robust personality trait architecture beyond the Big Five. A Big Two model, broadly capturing social engagement and internal mentation, defines a geometric space that links personality to neurocognitive profiles.
Kaixiang Zhuang, Ji Chen, Jinfeng Han, Wei Cheng, Jiang Qiu, Jianfeng Feng, Simon Eickhoff, Deniz Vatansever   +7 more
wiley   +1 more source

Cross-Lagged Relationships Between Cognitive Ability and Math Achievement. [PDF]

J Intell
Fiedler D, Barton S, Kipman U.
europepmc   +1 more source

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

Advanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich, Noah S. David, Markus J. Buehler   +2 more
wiley   +1 more source

Neurodevelopmental commonalities in cognitive control networks for mathematics and reading in meta-analysis of 3308 participants. [PDF]

Nat Commun
Ünal ZE, Park Y, Simsek E, Menon V, Geary DC.   +4 more
europepmc   +1 more source

Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis

Advanced Science, EarlyView.
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu, Kexing Li, Yuge Wang, Hongyu Li, Hongyu Zhao   +4 more
wiley   +1 more source

The relationships between parental involvement, teacher support, and mathematics performance: mediating roles of academic self-efficacy and academic buoyancy. [PDF]

BMC Psychol
İlter İ, Aksoy NC, Ceylan M.
europepmc   +1 more source

Once you know what they’ve learned, what do you do next? Designing curriculum and assessment for growth. [PDF]

, 2006
Wiliam, Dylan
core   +2 more sources