Results 241 to 250 of about 1,088,192 (320)
This work introduces E‐GeoGNN, a graph neural network framework that systematically encodes molecular structural information through three hierarchical correlation graphs: atom‐bond graph, bond‐angle graph, and angle‐dihedral graph. By incorporating quantum and geometric dual‐scale self‐supervised pretraining, Q‐GEM is proposed, a novel molecular ...
Zhijiang Yang+7 more
wiley +1 more source
Editorial for the Special Issue on GaN-Based Materials and Devices: Research and Applications. [PDF]
Liu W, Wang K.
europepmc +1 more source
Janus RhSeCl exhibits a facial heteroatom configuration and uniform anionic valences with Se and Cl in the −1 oxidation state, stabilizing the unique structure. The symmetry‐breaking nature enables promising nonlinear optical and optoelectronic performance, providing new insights into two–dimensional (2D) Janus materials and broadening their potential ...
Kefeng Liu+19 more
wiley +1 more source
Keratoconus Following Cataract Extraction: A Patient-Centered Perspective. [PDF]
Zainudin F+3 more
europepmc +1 more source
Mitigating Cell Cycle Effects in Multi‐Omics Data: Solutions and Analytical Frameworks
The study highlights the cell‐cycle effects on multi‐omics analysis attributed to varying cell cycle compositions across cell types. To minimize the influence, we propose RTD correction in CNV calling with a high S‐phase ratio, and phase comparison in chromatin accessibility, DNA methylation, and transcriptomics.
Rui Nie+7 more
wiley +1 more source
Corrigendum to "Sendai virus-based immunoadjuvant in hydrogel vaccine intensity-modulated dendritic cells activation for suppressing tumorigenesis" [Bioact. Mater. 6 (2021) 3879-3891]. [PDF]
Zheng B+6 more
europepmc +1 more source
A quantum kernel‐aligned regressor (QKAR) is developed for modeling Ohmic contact formation in GaN HEMT fabrication. Leveraging experimental data and a Pauli‐Z feature map enhanced with a quantum kernel alignment (QKA) layer, the model achieves superior predictive performance over classical methods.
Zeheng Wang+7 more
wiley +1 more source
MGPT: A Multi‐task Graph Prompt Learning Framework for Drug Discovery
MGPT is a unified multi‐task graph prompt learning model providing generalizable and robust graph representations for few‐shot drug association prediction. MGPT demonstrates the ability of seamless task switching and outperforms competitive approaches in few‐shot scenarios.
Yang Li+4 more
wiley +1 more source
Modified energy-based GAN for intensity in homogeneity correction in brain MR images. [PDF]
Karuna Y+4 more
europepmc +1 more source