Evaluation of repeatability and reproducibility of central and peripheral axial length measurements in children using the novel Swan optical biometer. [PDF]
Wang Q, Yu H, Zhou D, Ma X.
europepmc +1 more source
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source
Wideband circularly polarized leaky wave rectenna. [PDF]
Mohamed N +4 more
europepmc +1 more source
Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long +26 more
wiley +1 more source
Endothelial Cell Loss After Phacoemulsification in a Romanian Cohort: Early Outcomes and Associated Risk Factors. [PDF]
Ghiță AM +3 more
europepmc +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Identification of an air- and moisture-tolerant MOF-based C-H amination catalyst.
Izang JC, Bour JR.
europepmc +1 more source
Investigation of the damping characteristics of grouted coal gangue with different particle gradations under multistage triaxial cyclic loading. [PDF]
Wang Y +6 more
europepmc +1 more source
FlowMat: a toolbox for modeling flow reactors using physics-based and machine learning approaches for modular simulation, parameter identification, and reactor optimization. [PDF]
Knoll S +7 more
europepmc +1 more source

