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Aim: To assess the effect of experimentally induced anisometropia on binocularity in normal adults with glasses-free three-dimensional (3D) technique.
Methods: Totally 54 healthy medical students with normal binocularity in the cross-sectional study were enrolled. Anisometropia was induced by placing trail lenses over the right eye, in 0.5 D steps including lenses of -0.5, -1, -1.5, -2, -2.5 D (hyperopic anisometropia) and lenses of +0.5, +1, +1.5, +2, +2.5 D (myopic anisometropia). The glasses-free 3D technique was used to evaluated not only fine stereopsis, but also coarse stereopsis, dynamic stereopsis, foveal suppression, and peripheral suppression in these subjects. One-way analysis of variance was used to compare quantitative data such as fine stereopsis, coarse stereopsis. Pearson's Chi-square test was performed to compare categorical data such as dynamic stereopsis, foveal suppression and peripheral suppression.
Results: The subjects showed a statistically significant decline in fine stereopsis, coarse stereopsis, and dynamic stereopsis with increasing levels of anisometropia (<0.001). Binocularity was affected when induced anisometropia was more than 1 D (<0.05). Foveal suppression and peripheral suppression were evident and increased in proportion to anisometropia (<0.001).
Conclusion: The relatively low degrees of anisometropia may have a potentially significant effect on high-grade binocular interaction. The mechanisms underlying the defect of binocularity seem to involve not only foveal suppression, but also peripheral suppression.
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http://dx.doi.org/10.18240/ijo.2023.04.14 | DOI Listing |
Sensors (Basel)
December 2024
School of Computer Science, Civil Aviation Flight University of China, Deyang 618307, China.
Accurate classification of three-dimensional (3D) point clouds in real-world environments is often impeded by sensor noise, occlusions, and incomplete data. To overcome these challenges, we propose SMCNet, a robust multimodal framework for 3D point cloud classification. SMCNet combines multi-view projection and neural radiance fields (NeRFs) to generate high-fidelity 2D representations with enhanced texture realism, addressing occlusions and lighting inconsistencies effectively.
View Article and Find Full Text PDFTrends Hear
December 2024
Université de Lorraine, CNRS, Inria, Loria, Nancy, France.
In the intricate acoustic landscapes where speech intelligibility is challenged by noise and reverberation, multichannel speech enhancement emerges as a promising solution for individuals with hearing loss. Such algorithms are commonly evaluated at the utterance scale. However, this approach overlooks the granular acoustic nuances revealed by phoneme-specific analysis, potentially obscuring key insights into their performance.
View Article and Find Full Text PDFNat Neurosci
November 2024
Department of Basic Neurosciences, University of Geneva, Geneva, Switzerland.
J Subst Use Addict Treat
January 2025
College of Criminology & Criminal Justice, Florida State University, Tallahassee, USA. Electronic address:
Introduction: While extant research has looked at parole and its various actors as an institution, few studies recount the parole experience from the perspective of parolees. Additionally, despite the prevalence of substance use disorders (SUDs) within the criminal justice system, research that assesses the additional challenges this population faces throughout parole supervision is even scarcer.
Methods: To address this gap, we analyze in-depth qualitative interviews (n = 51) conducted with reentering men with SUDs as they navigate parole in Pennsylvania.
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