Glass patterns (GPs) have been widely employed to investigate the mechanisms underlying processing of global form from locally oriented cues. The current study aimed to psychophysically investigate the level at which global orientation is extracted from translational GPs using the tilt after-effect (TAE) and manipulating the spatiotemporal properties of the adapting pattern. We adapted participants to translational GPs and tested with sinewave gratings. In Experiment 1, we investigated whether orientation-selective units are sensitive to the temporal frequency of the adapting GP. We used static and dynamic translational GPs, with dynamic GPs refreshed at different temporal frequencies. In Experiment 2, we investigated the spatial frequency selectivity of orientation-selective units by manipulating the spatial frequency content of the adapting GPs. The results showed that the TAE peaked at a temporal frequency of ∼30 Hz, suggesting that orientation-selective units responding to translational GPs are sensitive to high temporal frequencies. In addition, TAE from translational GPs peaked at lower spatial frequencies than the dipoles' spatial constant. These effects are consistent with form-motion integration at low and intermediate levels of visual processing.
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http://dx.doi.org/10.1177/20416695211017924 | DOI Listing |
BMJ Open Qual
January 2025
Department of Pharmacy, Barts Health NHS Trust, London, UK.
Public Health England outlines a national ambition of anticoagulating 90% of eligible patients with atrial fibrillation (AF) by 2029. In 2019/2020, two out of three boroughs reviewed in this study were in the bottom 10% of boroughs compared with others within England. Stroke National Audit data for these three boroughs from 2019 to 2020 identified that in patients with known AF admitted to hospital with strokes, 37% were not anticoagulated.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Computer Science and Informatics, Cardiff University, Cardiff CF24 4AG, UK.
Poaching poses a significant threat to wildlife and their habitats, necessitating advanced tools for its prediction and prevention. Existing tools for poaching prediction face challenges such as inconsistent poaching data, spatiotemporal complexity, and translating predictions into actionable insights for conservation efforts. This paper presents PoachNet, a novel predictive system that integrates deep learning with Semantic Web reasoning to infer poaching likelihood.
View Article and Find Full Text PDFBiomedicines
November 2024
Department of Pediatric Neurology, Centre for Neuromuscular Disorders, Centre for Translational Neuro- and Behavioral Sciences, University Duisburg-Essen, 45122 Essen, Germany.
: X-linked dystrophinopathies are a group of neuromuscular diseases caused by pathogenic variants in the gene (MIM *300377). Duchenne muscular dystrophy (DMD; MIM #310200) is the most common inherited muscular dystrophy. : We screened datasets of 403 male, genetically confirmed X-linked dystrophinopathy patients and identified 13 pathogenic variants of the gene that have not been described in the literature thus far.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
December 2024
New Cross Hospital, The Royal Wolverhampton NHS Trust, Wolverhampton, WV10 0Q, UK.
Background: Numerous tools based on electronic health record (EHR) data that predict risk of unscheduled care and mortality exist. These are often criticised due to lack of external validation, potential for low predictive ability and the use of thresholds that can lead to large numbers being escalated for assessment that would not have an adverse outcome leading to unsuccessful active case management. Evidence supports the importance of clinical judgement in risk prediction particularly when ruling out disease.
View Article and Find Full Text PDFJ Equine Sci
December 2024
Gifu University Institute for Advanced Study, Gifu University, Gifu, Japan.
Including Internet of Things (IoT) technology in horse-rearing management can potentially mitigate problems such as human resource shortages and time limitations in performing daily behavior monitoring. In this study, a small and inexpensive activity meter used to monitor dogs and cats (PLUS CYCLE, JARMeC, Kanagawa, Japan) was used to monitor the daily behavior of horses. A study was performed to examine the suitability of the PLUS CYCLE device for monitoring horses and to determine whether it could estimate horse behavior.
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