Results 181 to 190 of about 8,038,825 (297)

A masked generative graph representation learning framework empowering precise spatial domain identification. [PDF]

Bioinformatics
Wang C, Zhang T, Sun H, Wu Z, Liang S, Wang X, Du M, Liang Y, Gao X, Tang Q, Xu D, Feng X, Zeng A, Guan R.   +13 more
europepmc   +1 more source

Framework Flexibility on Water Sorption and Transport in ZIF‐90: Insights from Neural‐Network Molecular Dynamics

Advanced Materials Interfaces, EarlyView.
A DeepMD‐based molecular dynamics framework is developed to investigate water adsorption in ZIF‐90, explicitly accounting for framework flexibility. Results show that atomistic flexibility significantly influences adsorption energetics, diffusion, and structural correlations, yielding nearly constant heat of adsorption and enhanced mobility.
Nick Mackus, Ionut Tranca, Veerapandian Ponnuchamy, Silvia Gaastra‐Nedea   +3 more
wiley   +1 more source

Perceptual no-reference image quality assessment with meta-learning by graph representation learning and multi-scale feature fusion. [PDF]

PLoS One
Jia Y, Wei L.
europepmc   +1 more source

Subgraph extraction and graph representation learning for single cell Hi-C imputation and clustering. [PDF]

Brief Bioinform, 2023
Zheng J, Yang Y, Dai Z.
europepmc   +1 more source

Two‐Way Shape Memory Polymer Composite Gripper for Adaptive Robotic Applications

Advanced Materials Technologies, EarlyView.
A two‐way shape memory polymer (SMP) composite is developed with intrinsic shape‐changing capability driven solely by temperature, eliminating external actuation loads. Embedding the SMP in a low‐stiffness elastomeric matrix enabled reversible transformations during heating and cooling cycles.
Aamna Hameed, Kamran Ahmed Khan
wiley   +1 more source

SPGA: graph representation learning and attention fusion for enhanced disease-associated snoRNA prediction. [PDF]

BMC Bioinformatics
Chen H, Song Z.
europepmc   +1 more source

Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions. [PDF]

Yearb Med Inform, 2023
Li F, Nian Y, Sun Z, Tao C.
europepmc   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Automatic text readability assessment for educational content based on graph representation learning. [PDF]

Sci Rep
Zhang L, Abhani J, B J, Yadav A, Ab Yajid MS, Mowafaq F, B B, Sahu PK, Vats S.   +8 more
europepmc   +1 more source

Understanding microbiome dynamics via interpretable graph representation learning. [PDF]

Sci Rep, 2023
Melnyk K, Weimann K, Conrad TOF.
europepmc   +1 more source