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The purpose of this study was to investigate the cue congruency effect of auditory stimuli during visual search in dynamic environments. Twenty-eight participants were recruited to conduct a visual search experiment. The experiment applied auditory stimuli to understand whether they could facilitate visual search in different types of background. Additionally, target location and target orientation were manipulated to clarify their influences on visual search. Target location was related to horizontal visual search and target orientation was associated with visual search for an inverted target. The results regarding dynamic backgrounds reported that target-congruent auditory stimuli could speed up the visual search time. In addition, the cue congruency effect of auditory stimuli was critical for the center of the visual display but declined for the edge, indicating the inhibition of horizontal visual search behavior. Moreover, few improvements accompanying auditory stimuli were provided for the visual detection of non-inverted and inverted targets. The findings of this study suggested developing multisensory interaction with head-mounted displays, such as augmented reality glasses, in real life.
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http://dx.doi.org/10.1163/22134808-bja10075 | DOI Listing |
JMIR Cancer
September 2025
iCARE Secure Data Environment & Digital Collaboration Space, NIHR Imperial Biomedical Research Centre, London, United Kingdom.
Background: Electronic health records (EHRs) are a cornerstone of modern health care delivery, but their current configuration often fragments information across systems, impeding timely and effective clinical decision-making. In gynecological oncology, where care involves complex, multidisciplinary coordination, these limitations can significantly impact the quality and efficiency of patient management. Few studies have examined how EHR systems support clinical decision-making from the perspective of end users.
View Article and Find Full Text PDFJ Cataract Refract Surg
July 2025
Helsinki Retina Research Group, University of Helsinki, Finland.
Topic: To compare the outcomes of surgical approaches to correct ametropia following cataract and lens surgery.
Clinical Relevance: Despite advancements in the field of biometry and intraocular lens (IOL) power calculation formulas, complete elimination of refractive surprises following cataract and lens surgery is impossible. Preferred Practice Patterns acknowledges the possibility of refractive surprise following cataract surgery; however, no recommendations regarding the preferred treatment have been given.
PLoS Comput Biol
September 2025
Sussex Neuroscience, School of Life Sciences, University of Sussex, Brighton, United Kingdom.
Individually foraging ants use egocentric views as a dominant navigation strategy for learning and retracing routes. Evidence suggests that route retracing can be achieved by algorithms which use views as 'visual compasses', where individuals choose the heading that leads to the most familiar visual scene when compared to route memories. However, such a mechanism does not naturally lead to route approach, and alternative strategies are required to enable convergence when off-route and for correcting on-route divergence.
View Article and Find Full Text PDFAntimicrob Steward Healthc Epidemiol
September 2025
Center for Access and Delivery Research and Evaluation (CADRE), Iowa City VA Healthcare System, Iowa City, IA, USA.
Background: Ultraviolet-C (UV-C) radiation has emerged as a widely adopted disinfection technology in healthcare settings due to its germicidal effectiveness. However, concerns have grown regarding the potential degradation of materials, particularly polymeric surfaces, subjected to repeated UV-C exposure. Understanding the extent, mechanism, and contributing factors of UV-C-induced material degradation is essential for safe and sustainable implementation.
View Article and Find Full Text PDFComput Biol Med
September 2025
Postgraduate Program in Computing, Center for Technological Development, Federal University of Pelotas, Pelotas, 96010-610, Rio Grande do Sul, Brazil.
In the task of image classification for emotion recognition, facial expression data is commonly used. However, electrical brain signals generated by neural activity provide data with greater integrity. We can capture these signals non-invasively using electroencephalogram (EEG) recording devices.
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