Employing Artificial Intelligence to Predict δ¹⁸O and δ²H Isotope Ratios in Precipitation in Iraq under Changing Climate Patterns [PDF]
Ali Al Maliki +5 more
openalex +1 more source
Crack‐Growing Interlayer Design for Deep Crack Propagation and Ultrahigh Sensitivity Strain Sensing
A crack‐growing semi‐cured polyimide interlayer enabling deep cracks for ultrahigh sensitivity in low‐strain regimes is presented. The sensor achieves a gauge factor of 100 000 at 2% strain and detects subtle deformations such as nasal breathing, highlighting potential for minimally obstructive biomedical and micromechanical sensing applications ...
Minho Kim +11 more
wiley +1 more source
Persistence of human enteric viruses in artificial and human saliva. [PDF]
Kosgei SC, Birch ON, Greaves JC.
europepmc +1 more source
Charge‐Induced Morphing Gels for Bioinspired Actuation
This study introduces a novel electroactive actuation mechanism that enables the gel material to generate substantial and reversible shape‐changing while preserving topological and isochoric (volumetric) equivalence. The resultant morphing behaviors can mimic the movements of muscle‐driven organelles in nature, including cilia‐like beating and ...
Ciqun Xu +4 more
wiley +1 more source
Artificial Intelligence-Driven Transformation of Pediatric Diabetes Care: A Systematic Review and Epistemic Meta-Analysis of Diagnostic, Therapeutic, and Self-Management Applications. [PDF]
Valdespino-Saldaña E +4 more
europepmc +1 more source
Hyperspectral Remote Sensing and Artificial Intelligence for High-Resolution Soil Moisture Prediction [PDF]
Ki-Sung Kim +4 more
openalex +1 more source
A minimally invasive, transepithelial corneal cross‐linking (TE‐CXL) approach is presented using upconversion nanoparticles (UCNPs)‐loaded contact lenses (UCLs), after topical delivery of hyaluronate–riboflavin conjugates. The NIR‐to‐UV/blue light conversion by UCNPs in a UCL can activate riboflavin for TE‐CXL, resulting in the biomechanical strength ...
Gibum Lee +8 more
wiley +1 more source
On artificial crystal structure generation for solving the phase problem with deep learning. [PDF]
Melgalvis DM, Rekis T.
europepmc +1 more source

