Results 241 to 250 of about 84,208 (297)

N, S Co‐Doped Carbon Quantum Dots‐Riboflavin Composite Photosensitizers for Enhanced Iontophoresis‐Assisted Corneal Cross‐Linking

Advanced Science, EarlyView.
This study explores the use of N, S co‐doped carbon quantum dots (NS‐CQDs) as carriers for riboflavin, creating NS‐CQDs‐RF composite photosensitizers. These composites improve riboflavin absorption, enhance ROS generation efficiency, and preserve corneal epithelium integrity.
Tinghong Xu, Yong Liu, Wenjing Zhang, Qiuruo Jiang, Yi Jin, Liangzheng Lin, Lumeng Wang, Zhanhao Gu, Mimi Lin, Shihao Chen   +9 more
wiley   +1 more source

SAMGAT: structure-aware multilevel graph attention networks for automatic rumor detection. [PDF]

PeerJ Comput Sci
Li Y, Chu Z, Jia C, Zu B.
europepmc   +1 more source

ERK‐Mediated Phosphorylation of YAP Defines a Noncanonical FGF Signaling Mechanism in Stem Cells

Advanced Science, EarlyView.
With a powerful combination of in vivo, ex vivo, and in vitro models, the authors highlight a novel FGF‐ERK signaling regulation of YAP at the S128 site in neural crest‐derived stem cells. This study opens exciting new directions in stem cell biology and craniofacial biology, paving the way for potential innovations in the treatment of craniofacial ...
Xiaolei Zhao, Shannon Erhardt, Li Tang, Xiaotong Chen, Stephen M Farmer, Zixiu Cheng, Wen Chen, Ella Ziyuan Lu, Kihan Sung, Chang‐Ru Tsai, Mingjie Zheng, Sheng Zhang, Yang Liu, Jianxin Wang, Min Li, James F Martin, Jun Wang   +16 more
wiley   +1 more source

A novel approach for ASD recognition based on graph attention networks. [PDF]

Front Comput Neurosci
Wang C, Xiao Z, Xu Y, Zhang Q, Chen J.
europepmc   +1 more source

Paternal Circadian Disruption Impairs Offspring Cognition via Sperm microRNAs

Advanced Science, EarlyView.
Paternal circadian disruption remodels the sperm small RNA payload, elevating miR‐92a‐3p/miR‐25‐3p levels and perturbing early embryonic gene regulatory programs. Microinjection experiments and single‐embryo transcriptomics reveal sex‐specific developmental vulnerabilities, ultimately impairing offspring hippocampal synaptic plasticity and cognition ...
Kexin Zou, Sisi Luo, Binliang Tang, Zhiqiang Liu, Yuchuan Zhou, Yicong Meng, Zhengmu Wu, Zheng Sun, Weihui Shi, Jianzhong Sheng, Chuanjin Yu, Zhenhua Li, Siyi Wei, Mo Zhang, Yujie Luo, Jing Yan, Xueyun Qin, Jiahang Mo, Chengliang Zhou, Jinsong Li, Hefeng Huang, Yifu Ding, Guolian Ding   +22 more
wiley   +1 more source

DTI-MHAPR: optimized drug-target interaction prediction via PCA-enhanced features and heterogeneous graph attention networks. [PDF]

BMC Bioinformatics
Yang G, Liu Y, Wen S, Chen W, Zhu X, Wang Y.   +5 more
europepmc   +1 more source

In Situ X‐Ray Tomography and Acoustic Emission Monitoring of Damage Evolution in C/C‐SiC Composites Fabricated by Liquid Silicon Infiltration

Advanced Science, EarlyView.
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen, Renato S. M. Almeida, Stefan Flauder, Guillaume Couégnat, Kamen Tushtev, Jürgen Horvath, Peter Wriggers, Kurosch Rezwan   +7 more
wiley   +1 more source

Enhancing Intelligent HVAC optimization with graph attention networks and stacking ensemble learning, a recommender system approach in Shenzhen Qianhai Smart Community. [PDF]

Sci Rep
He Y, Ali ABM, Aminian SA, Sharma K, Dixit S, Sobti S, Ali R, Ahemedei M, Rajab H, Ziaei Mazinan MA.   +9 more
europepmc   +1 more source

Causal Prediction of TP53 Variant Pathogenicity Using a Perturbation‐Informed Protein Language Model

Advanced Science, EarlyView.
A TP53‐specific predictor, CaVepP53, is developed by fine‐tuning ESMC on experimentally validated variants, quantifying pathogenicity via Euclidean distances. It outperforms general‐purpose models and extends to five cancer genes, enabling interpretable variant classification for precision medicine.
Huiying Chen, Yang Zhao, Boqiang Hu, Wuke Wang, Minfang Song, Annabeth Xinyu Zhao, Xiangyang Li, Gefei Wang, Yanfen Wang, Weiyan Zheng, Xinpeng Zhang, Xia Lin, Yanbin Yin, Xingxu Huang, Jinfang Zheng, Tingbo Liang   +15 more
wiley   +1 more source

HealthGAT: Node Classifications in Electronic Health Records using Graph Attention Networks. [PDF]

IEEE Int Conf Connect Health Appl Syst Eng Technol
Piya FL, Gupta M, Beheshti R.
europepmc   +1 more source