Faces are detected more rapidly than other objects in visual scenes and search arrays, but the cause for this face advantage has been contested. In the present study, we found that under conditions of spatial uncertainty, faces were easier to detect than control targets (dog faces, clocks and cars) even in the absence of surrounding stimuli, making an explanation based only on low-level differences unlikely. This advantage improved with eccentricity in the visual field, enabling face detection in wider visual windows, and pointing to selective sparing of face detection at greater eccentricities. This face advantage might be due to perceptual factors favoring face detection. In addition, the relative face advantage is greater under flanked than non-flanked conditions, suggesting an additional, possibly attention-related benefit enabling face detection in groups of distracters.
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http://dx.doi.org/10.1167/10.10.21 | DOI Listing |
HRB Open Res
January 2025
Department of Psychiatry, University College Dublin, Dublin, Leinster, Ireland.
Background: Individuals with first-episode psychosis (FEP) face an increased risk of physical comorbidities, notably cardiovascular diseases, metabolic disorders, respiratory disorders, and certain types of cancer. Previous reviews report pooled physical health prevalence from chronic psychosis and FEP groups. By contrast, this review will focus on antipsychotic-naïve FEP cohorts and incorporate data from observational longitudinal studies and antipsychotic intervention studies to understand the progression of physical health comorbidities from the onset to later stages of psychosis.
View Article and Find Full Text PDFClin Ophthalmol
January 2025
University Eye Clinic Maastricht, Maastricht, the Netherlands.
Purpose: This study aims to explore the diagnostic utility of ultrasound B-scan while introducing the "Triangle" sign as a novel indicator. It also validates the sign's efficacy in distinguishing between choroidal detachment (CD) and suprachoroidal hemorrhage (SCH) from retinal detachment (RD) and vitreous hemorrhage (VH).
Patients And Methods: Retrospective analysis of consecutive cases of total CD and SCH undergoing B-scan at a single tertiary imaging center.
Comput Struct Biotechnol J
December 2024
School of Bioengineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong 250300, China.
Protein circular permutations are crucial for understanding protein evolution and functionality. Traditional detection methods face challenges: sequence-based approaches struggle with detecting distant homologs, while structure-based approaches are limited by the need for structure generation and often treat proteins as rigid bodies. Protein Language Model-based alignment tools have shown advantages in utilizing sequence information to overcome the challenges of detecting distant homologs without requiring structural input.
View Article and Find Full Text PDFOphthalmol Sci
November 2024
National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland.
Objective: To propose Deep-RPD-Net, a 3-dimensional deep learning network with semisupervised learning (SSL) for the detection of reticular pseudodrusen (RPD) on spectral-domain OCT scans, explain its decision-making, and compare it with baseline methods.
Design: Deep learning model development.
Participants: Three hundred fifteen participants from the Age-Related Eye Disease Study 2 Ancillary OCT Study (AREDS2) and 161 participants from the Dark Adaptation in Age-related Macular Degeneration Study (DAAMD).
Lab Chip
January 2025
Mechanobiology Institute, National University of Singapore, Singapore, 117411 Singapore.
Creative designs, precise fluidic manipulation, and automation have supported the development of microfluidics for single-cell applications. Together with the advancements in detection technologies and artificial intelligence (AI), microfluidic-assisted platforms have been increasingly used for new modalities of single-cell investigations and in spatial omics applications. This review explores the use of microfluidic technologies for morpholomics and spatial omics with a focus on single-cell and tissue characterization.
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