Medical pattern classification using a novel binary similarity approach based on an associative classifier. [PDF]
Velazquez-Gonzalez O +2 more
europepmc +1 more source
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
Sigma-1 and Sigma-2 receptors exhibit divergent genome-wide Co-expression architectures in human brain despite shared subcellular localization. [PDF]
Harbert DH.
europepmc +1 more source
Harnessing Phase Separation for the Development of High‐Performance Hydrogels
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao +3 more
wiley +1 more source
Spanish phishing and legitimate email dataset with technical and psychological annotations. [PDF]
Bustio-Martínez L +9 more
europepmc +1 more source
Binary Code Similarity Detection: Retrospective Review and Future Directions
Shengjia Chang +2 more
openaire +1 more source
Dynamic Regulation of Endogenous Transcription Factor Hubs at Single‐Molecule Resolution
This study combines single‐molecule microscopy and genome editing to characterize the dynamic behaviors of endogenous oncofusion transcription factor EWS::FLI1 in Ewing sarcoma cells. EWS::FLI1 forms neomorphic hubs that dynamically assemble and dissolve. The hubs are regulated during mitosis, by RNA, and by specific chemicals.
Shawn Yoshida +4 more
wiley +1 more source
Deep learning-based identification of visually similar foliar diseases in field-grown barley. [PDF]
Martello S, Genze N, Grimm DG.
europepmc +1 more source
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
RioCC: Efficient and Accurate Class-Level Code Recommendation Based on Deep Code Clone Detection. [PDF]
Gao H, Guo C, Yang H.
europepmc +1 more source

