Results 301 to 310 of about 833,540 (375)
Using economic value signals from primate prefrontal cortex in neuro-engineering applications. [PDF]
Rouse TC, Lupkin SM, McGinty VB.
europepmc +1 more source
Gap‐enhanced Raman tags (GERTs) with optimized tag density and stability are engineered for use in high‐performance security inks. The inks enable invisible molecular‐level encoding, long‐term signal retention, and high sensitivity. This work demonstrates a robust, scalable platform for anti‐counterfeiting and authentication with potential integration ...
Boonphop Chaisrikhwun +4 more
wiley +1 more source
We introduce an anti‐counterfeiting solution using photoluminescent nanoparticles in PMMA polymer matrices. Through UV‐activated polymerization without photoinitiators, achieved via solvent modification, secure micromarkers are created within seconds using industrial laser systems.
Aïssatou Coumba Sow +3 more
wiley +1 more source
The given research presents an innovative insole‐based device employing self‐powered triboelectric nanogenerators (TENG) for flatfoot detection. By integrating TENG tactile sensors within an insole, the device converts mechanical energy from foot movements to electrical signals analyzed via machine learning, achieving an 82% accuracy rate in flatfoot ...
Moldir Issabek +7 more
wiley +1 more source
Electrophysiological decoding captures the temporal trajectory of face categorization in infants. [PDF]
Kessler R, Skeide MA.
europepmc +1 more source
Multi‐Level Hybrid Anti‐Counterfeit Labels via Solid‐State Dewetting Under Spatial Confinement
This study presents a hybrid encoding approach combining deterministic patterns fabricated by photolithography and stochastic features formed by the solid‐state dewetting of silver films under strong confinement at the micrometer and nanometer length scales.
Farnaz Foadi +5 more
wiley +1 more source
Brain-wide representations of prior information in mouse decision-making. [PDF]
Findling C +61 more
europepmc +1 more source
Applications of QSPR and Machine Learning in Molecular Photonics
Quantitative structureproperty relationships (QSPR) and machine learning (ML) are transforming photochemistry by enabling pre‐synthetic screening of photoactive molecules. This review outlines advances in data‐driven discovery of optical materials and functional dyes, identifies effective descriptors and models for photophysical processes, and provides
Andrey A. Buglak +2 more
wiley +1 more source
Flat Optics for Polarization Structure Engineering from 2D to 3D
Metasurfaces have transformed polarization control by enabling precise engineering of complex polarization structures. This review explores their evolution from generating 2D polarization structures to shaping fully 3D polarization fields. By unlocking the unprecedented control over the polarization and spectral information of light, these advances ...
Buxiong Qi, Yan Li, Xianzhong Chen
wiley +1 more source

