Results 201 to 210 of about 6,059 (275)

The QuickSee autorefractor reliably measures the accommodative response in children compared with the Shin‐Nippon autorefractor

open access: yesOphthalmic and Physiological Optics, EarlyView.
Abstract Introduction This study evaluated the QuickSee autorefractor for measurement of the accommodative response in a cohort of children without significant ametropia, and compared the findings to those determined using the gold‐standard Shin‐Nippon device. Methods Children aged 5–7 years were recruited.
Jane M. Fulton   +4 more
wiley   +1 more source

The coronagraphic Modal Wavefront Sensor: a hybrid focal-plane sensor for the high-contrast imaging of circumstellar environments

open access: bronze, 2016
Michael J. Wilby   +4 more
openalex   +1 more source

Accuracy and precision of a sphero‐cylindrical over‐refraction app for smartphones

open access: yesOphthalmic and Physiological Optics, EarlyView.
Abstract Purpose To evaluate the accuracy and precision of a web‐based smartphone app designed to measure sphero‐cylindrical over‐refraction. Methods A total of 307 healthy young subjects (22.5 ± 3.4 years) underwent clinical subjective refraction. In addition to each subject's refractive correction, spherical and cylindrical errors from −1.50 to 0.00 ...
Rosa Maria Salmeron‐Campillo   +5 more
wiley   +1 more source

Advances in cardiac devices and bioelectronics augmented with artificial intelligence

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend Interfaces between the human heart, diagnostic bioelectronics, artificial intelligence, and clinical care. From left to right: Human heart and biosensor interface; representative waveforms of common diagnostic bioelectronic sensing modalities.
Charles Stark   +3 more
wiley   +1 more source

In silico modelling of multi‐electrode arrays for enhancing cardiac drug testing on hiPSC‐CM heterogeneous tissues

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend Schematic overview of the experimental and computational framework for investigating hiPSC‐CM electrophysiology with MEA systems. The MEA‐based model integrates experimental data with phenotype‐specific ionic models and tissue‐level heterogeneity.
Sofia Botti   +2 more
wiley   +1 more source

An integrated platform for 2‐D and 3‐D optical and electrical mapping of arrhythmias in Langendorff‐perfused rabbit hearts

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend Integrated multimodal platform for panoramic cardiac mapping in isolated heart experiments. On the left, an image of the experimental setup during data acquisition showing a Langendorff‐perfused rabbit heart surrounded by three optical cameras (CAM A, B and C) positioned 120° apart, each coupled with high‐power LEDs for panoramic
Jimena Siles   +8 more
wiley   +1 more source

Atrial fibrosis in atrial fibrillation: Mechanisms, mapping techniques and clinical applications

open access: yesThe Journal of Physiology, EarlyView.
Abstract figure legend Summary of key aspects of atrial fibrosis in atrial fibrillation, highlighting atrial fibrosis as a hallmark of atrial fibrillation (AF). (1) Different types of fibrosis (blue), illustrating reparative and reactive fibrosis; (2) fibrosis detection techniques (green), illustrating late gadolinium enhancement cardiac magnetic ...
Caterina Vidal Horrach   +8 more
wiley   +1 more source

Two‐Way Relaying for Orbital Angular Momentum LOS Transmission

open access: yesInternational Journal of Communication Systems, Volume 38, Issue 13, 10 September 2025.
This paper investigates two‐way relaying (TWR) for orbital angular momentum (OAM)‐based line‐of‐sight (LOS) transmission. Low‐complexity near‐ML detectors are proposed for OAM mode division multiplexing and index modulation. Theoretical analysis and simulations confirm that TWR significantly improves bit error performance and spectral efficiency over ...
Oluwabukunmi Williams Oso   +2 more
wiley   +1 more source

Moho Depth Disposition of the Contiguous United States: A Multi‐Modal Data Driven Approach

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 3, September 2025.
Abstract Precise determination of Moho depth is essential for understanding lithospheric deformation, lower crustal rheology, and crust‐mantle interactions. This study employs a Random Forest Regressor (RFR) model to predict Moho depth across the contiguous United States using a variety of geophysical data, including gravity anomalies, topography, heat
Ramees R. Mir   +4 more
wiley   +1 more source

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