Results 191 to 200 of about 2,210,762 (272)
TriDTI: tri-modal representation learning with cross-modal alignment for drug-target interaction prediction. [PDF]
Yun GH, Park JH, Cho YR.
europepmc +1 more source
This review systematically highlights the latest achievements in mixed‐valence states relevant to hydrogen and oxygen evolution reactions, providing essential insights into future directions and methods for large‐scale practical implementation. This critical review is expected to provide an overview of recent advancements in diverse valence‐state metal
Jitendra N. Tiwari +4 more
wiley +1 more source
Representation learning with parameterised quantum circuits for advancing speech emotion recognition. [PDF]
Rajapakshe T +4 more
europepmc +1 more source
Amorphous calcium phosphate (ACP) microparticles with long‐term and thermal stability are prepared with or without collagen using a scalable one‐pot spray‐drying process. Under simulated physiological conditions, they crystallize into biomimetic bone mineral and, when combined with collagen, form extrudable, fibrillar bone‐like 3D constructs.
Camila Bussola Tovani +13 more
wiley +1 more source
The effects of task similarity during representation learning in brains and neural networks. [PDF]
Menghi N +6 more
europepmc +1 more source
Slight Truncation Changes in Iron Oxide Nanocubes Strongly Affect Their Magnetic Properties
Subtle variations in nanoparticle morphology can lead to significant changes in functional properties. An automated shape‐fitting method captures minor differences in corner truncation between iron oxide nanocubes of similar sizes synthesized under identical conditions, revealing pronounced disparities in their magnetic and hyperthermia behavior ...
Kingsley Poon +7 more
wiley +1 more source
Fibrous benzenetrispeptide (BTP) hydrogels, fabricated via strain‐promoted azide‐alkyne cycloaddition (SPAAC) crosslinking, form robust, bioinert networks. These hydrogels can support 3D cell culture, where cell viability and colony growth depend on the fiber content.
Ceren C. Pihlamagi +5 more
wiley +1 more source
Hypergraph Representation Learning with Weighted- and Clustering-Biased Random Walks. [PDF]
Liang L, Cai SM, Gong SC.
europepmc +1 more source
Predicting Atomic Charges in MOFs by Topological Charge Equilibration
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi +2 more
wiley +1 more source
Node2Vec-DGI-EL: a hierarchical graph representation learning model for ingredient-disease association prediction. [PDF]
Zhang L, Dong X, Jia S, Zhang J.
europepmc +1 more source

