Results 181 to 190 of about 264,641 (257)

Self‐Adaptive Non‐Flammable Wallpaper With Layered Bead‐Network Structure for Light Path Modulation Enabling on‐Demand Building Thermal Management

Advanced Science, EarlyView.
A layered bead‐network wallpaper is designed to modulate the light propagation path, overcoming the color residue limitations of thermochromic components for efficient automatic switching between radiative cooling and solar heating modes. The layered bead‐network wallpaper provides passive, all‐season thermal regulation while offering self‐cleaning and
Jianyu Wu, Linmin Xia, Jiankun Wu, Yuying Yang, Wuhong Zhong, Jianguo Li, Yan Yu, Rilong Yang   +7 more
wiley   +1 more source

The relation between cerebral arteriovenous malformations and heart diseases in the pediatric population: a systematic review and meta-analysis. [PDF]

Childs Nerv Syst
Ponchio V, Hussin R, Harati W, Gerhardt ME, Dias FB, Hussin A, Fenner F, de Souza Vasconcelos MF, Bertani R.   +8 more
europepmc   +1 more source

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source

Indirect state-level estimation of sexual minority adolescent populations by sex, age, and race/ethnicity using random forests. [PDF]

PLoS One
Alves-Maciel B, Pampati S, Fodeman A, Van Handel M, Zheng L, Ye Z, Yaesoubi R, Salomon JA.   +7 more
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

A tree-level inventory dataset of <i>Picea crassifolia</i> forests in the Qilian Mountains for spatial point pattern and neighbor competition analysis. [PDF]

Data Brief
Yin S, Cao Z, Chen Z.
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

Deforestation and human proximity influence Trypanosoma cruzi infection in palm-dwelling triatomines. [PDF]

PLoS One
Laporta GZ, Ramos LJ, Santana CM, Abreu WU, Ilacqua RC, Nolan MS, Brilhante AF, Madeira FP, Meneguetti DUO, Galvis-Ovallos F, Prist PR, Valle D, Sperança MA.   +12 more
europepmc   +1 more source

Forest education in School

The Japanese Forest Society Congress, 2006
openaire   +1 more source