Results 281 to 290 of about 5,876,040 (331)
This work introduces an electrochemical sensing method that employs an innovative platform based on metal‐organic framework (MOF) for detecting biomarkers. The platform integrates an antifouling surface, oriented antibody immobilization, and an enhanced electron transfer layer.
Wenjuan Yang+10 more
wiley +1 more source
Reinforcement learning for mutation operator selection in automated program repair. [PDF]
Hanna C, Blot A, Petke J.
europepmc +1 more source
Arbitrary structural regulations of triple periodic hyperbolic surfaces are achieved using mathematical Fourier construction and 3D printing technology, enriching the geometric forms and achieving optimized mechanical behaviors. Abstract Triply periodic hyperbolic surfaces (TPHSs) have attracted significant attention due to their exceptional ...
Yanhong Zhang+6 more
wiley +1 more source
DrugGen enhances drug discovery with large language models and reinforcement learning. [PDF]
Sheikholeslami M+5 more
europepmc +1 more source
A Novel nor@DHB Matrix for Direct Microbial Analysis in Lung Cancer Tissues
Integrated matrix‐assisted laser desorption/ionization mass spectrometry workflow quantifies intratumoral microbes in lung cancer through lipopolysaccharide/lipid A extraction from biopsies. The novel ionic matrix called norharmane conjugated to 2,5‐dihydroxybenzoic acid enhances lipid A ionization, enabling direct detection of bacterial genera ...
Liang Shan+12 more
wiley +1 more source
Memory consolidation from a reinforcement learning perspective. [PDF]
Lee JW, Jung MW.
europepmc +1 more source
Tuneable Hydrogel Porosity via Dynamic Tailoring of Spinodal Decomposition
The authors introduce a straightforward method for dynamically halting the phase separation of a gelatin methacryloyl and poly(vinyl alcohol) (GelMA‐PVA) polymer blend in the context of a biofabrication process based on dynamic interface printing (DIP).
Michael Halwes+8 more
wiley +1 more source
Intrinsic rewards guide visual resource allocation via reinforcement learning
Tomić I, Raimundo R, Bays PM.
europepmc +1 more source
DRAG: design RNAs as hierarchical graphs with reinforcement learning. [PDF]
Li Y, Pan X, Shen H, Yang Y.
europepmc +1 more source
Chiral nano‐inorganics, free of organic chiral ligands, provide a novel platform to direct symmetry breaking in molecular systems, through inorganic‐to‐organic chirality transfer via enantiospecific inorganic–organic interactions, circularly polarized light, and electron spin‐driven enantiopreferential reactions governed by chiral‐induced spin ...
Tao Yao+3 more
wiley +1 more source