Results 41 to 50 of about 8,673 (229)
Resolving Heterogeneity of Targeted Lipid Nanoparticles Through Solution‐Based Biophysical Analyses
AF4‐UV‐DLS‐MALS‐SAXS resolves previously inaccessible targeted lipid nanoparticle (tLNP) subpopulations that differ in size, shape, and composition. Correlation of subpopulation‐resolved biophysical properties with in vivo RNA delivery reveals that targeted placental transfection is associated with distinct tLNP subpopulations rather than ensemble ...
Hannah C. Geisler +14 more
wiley +1 more source
Temporal knowledge graph completion based on time embedding and time-frequency decoder
Temporal knowledge graph (TKG) completion is essential for predicting missing links by modeling the evolution of entities and relations over time, with critical applications in areas like event forecasting and trend analysis.
Siling Feng +6 more
doaj +1 more source
Knowledge Graph-Enabled Prediction of the Elderly’s Activity Types at Metro Trip Destinations
Providing age-friendly metro service substantially enhances the elderly’s mobility and well-being. Despite recent progress in user profiling and mobility prediction, the prediction of the elderly’s metro travel patterns remains limited. To fill this gap,
Jingqi Yang +7 more
doaj +1 more source
Learning Granularity Representation for Temporal Knowledge Graph Completion
15 pages.
Jinchuan Zhang +4 more
openaire +2 more sources
Aqueous Zn(II) Salphen metallofibers decorated with PNIPAM undergo reversible, multi‐stimuli‐responsive hierarchical bundling. This higher‐order structuring kinetically stabilizes the otherwise fragile assemblies against dilution, acidic hydrolysis, and transmetallation, enables selective sorting of responsive fibers, and programs hydrogelation at ...
Merlin R. Stühler +5 more
wiley +1 more source
STSE: Spatio-temporal state embedding for knowledge graph completion
Xiaoyu Ji +3 more
exaly +2 more sources
Maskless Fabrication of PLA‐Based Neural Arrays for CNS Recording and Stimulation
Biodegradable neural interfaces enable bidirectional communication with the CNS. Through electrochemical characterization, ageing tests with impedance monitoring, and in vivo validation, we assess the performance of PLA‐based epicortical and spinal implants.
Anna De Salvo +14 more
wiley +1 more source
[Significance]Graph neural networks (GNN) have emerged as a powerful tool in the realm of data analysis, particularly in knowledge graph construction.
YUAN Huan +3 more
doaj +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
Research on the methodology of personalized recommender systems based on multimodal knowledge graphs
The exponential increase in learning materials has occasioned a greater need for personalized learning experiences, yet conventional unimodal recommender systems are not effective in addressing students' diversified demands.In this research, a ...
Shaowu Bao, Jiajia Wang
doaj +1 more source

