Results 171 to 180 of about 35,565 (288)
This study presents a transferable modeling framework for carbon capture using aluminosilicates, integrating Universal Isotherm Modeling with experimental data. It reveals how ultramicropores, alumina content, and amine functionalization influence CO2 adsorption energetics.
Pooja Anil Kumar Nair +4 more
wiley +1 more source
Adaptive knowledge distillation based structure-text embedding integrating for knowledge graph completion. [PDF]
Li Q +6 more
europepmc +1 more source
ABSTRACT Genome‐wide association studies (GWAS) link the Tropomyosin 1 (Tpm1) locus to quantitative blood trait variation, but related mechanisms are unclear. Tpm1 encodes an actin‐binding protein that regulates actin filament diversity, cell adhesion, signaling, and actomyosin contractility.
Po‐Lun Kung +19 more
wiley +1 more source
Meta learning based few shot knowledge graph completion with domain selected aggregation. [PDF]
Yang B, Peng M, Liu S, Shi M.
europepmc +1 more source
The cellular actors of oxytocin signaling are under intense scrutiny. A brain‐wide anatomical and functional analysis in mice and rats reveals widespread expression of oxytocin receptors in astrocytes. These receptors are functionally active and, in the nucleus accumbens, selectively regulate male social affiliation.
Clémence Denis +32 more
wiley +1 more source
The role of graph topology in the performance of biomedical Knowledge Graph Completion models. [PDF]
Cattaneo A +6 more
europepmc +1 more source
Human‐relevant methods are essential for modern chemical safety assessment. This study helps define the capabilities and boundaries of an in vitro testing battery for developmental neurotoxicity by exploring its biological applicability domain. By linking neurodevelopmental disease‐related pathways to key neurodevelopmental processes, the work enhances
Eliska Kuchovska +14 more
wiley +1 more source
Learning temporal granularity with quadruplet networks for temporal knowledge graph completion. [PDF]
Geng R, Luo C.
europepmc +1 more source
We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang +11 more
wiley +1 more source
JGURD: joint gradient update relational direction-enhanced method for knowledge graph completion. [PDF]
Ding L, Li M, Gao S, Li J, Yuan R, Yu J.
europepmc +1 more source

