Head tracking movements are common in interceptive tasks. The benefits of these movements are unclear. The purpose of this study was to compare coincidence anticipation timing (CAT) responses for a simulated approaching object when the eyes were used in tracking the object and when the head was used in tracking the object. A total of 29 subjects participated. A Bassin Anticipation Timer consisting of a track of sequentially illuminated lights was used to simulate an approaching object at velocities of 223 cm · s to 894 cm · s. Each velocity was used 10 times under 2 conditions. In one condition, subjects were told to turn the eyes with the stimulus. In the other condition, subjects viewed the stimulus through apertures and were told to turn the head with the stimulus. Subjects pushed a button to coincide with illumination of the final light on the track. Signed CAT errors, unsigned CAT errors, and variable CAT errors were compared between the head movement (HM) and eye movement (EM) conditions. No significant differences were noted for the signed errors (mean signed error at 894 cm · s; 10.3 ± 75.4 ms (HM), -16.1 ± 51.0 ms (EM). However, the unsigned and variable errors were significantly larger at some stimulus velocities in the head movement condition [mean unsigned error at 894 cm · s: 82.6.0 ± 45.9 ms (HM), 59.0 ± 22.4 ms (EM); mean variable error at 894 cm · s; 78.0 ± 37.8 ms (HM), 49.2 ± 17.1ms (EM)]. Head movement did not result in improved CAT performance compared to eye movements. Further work will be required to determine whether these results are generalizable to situations where head tracking is required but apertures are not worn.
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http://dx.doi.org/10.3357/AMHP.5904.2022 | DOI Listing |
J Cancer
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Shanghai TCM-Integrated Hospital, Shanghai university of TCM, Shanghai, China.
Killer Cell Lectin Like Receptor D1 (KLRD1) plays a crucial role in antitumor immunity. However, its expression patterns across various cancers, its relationship with patient prognosis, and its potential as an immunotherapy target remain inadequately understood. We analyzed KLRD1 expression across various cancer types using multi-omics data from The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx), and Gene Expression Omnibus (GEO) databases, correlating it with patient prognosis.
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January 2025
From the Department of Otolaryngology, Head and Neck Surgery, Northwestern University Feinberg School of Medicine, Chicago, Ill.
Introduction: First-case on-time starts (FCOTS) is an established metric of perioperative efficiency, impacting global perioperative throughput. Late-arriving surgeons are a common cause of late operating room (OR) starts. This project reflects a quality improvement effort to reduce late surgeon arrivals by 30% for 24 months and improve FCOTS.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Automation, Xiamen University, Xiamen 361102, China.
Recent advancements in the field of object tracking have been notably influenced by Siamese-based trackers, which have demonstrated considerable progress in their performance and application. Researchers frequently emphasize the precision of trackers, yet they tend to neglect the associated complexity. This oversight can restrict real-time performance, rendering these trackers inadequate for specific applications.
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December 2024
Faculty of Systems Information Science, Future University Hakodate, Hakodate, Japan.
Introduction: Effective decision-making in ball games requires the ability to convert positional information from a first-person perspective into a bird's-eye view. To address this need, we developed a virtual reality (VR)-based training system designed to enhance spatial cognition.
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Behav Res Methods
January 2025
Department Neurophysics, Philipps-Universität Marburg, Fachbereich Physik, AG Neurophysik, Karl-Von-Frisch-Straße 8a, 35043, Marburg, Lahnberge, Germany.
The analysis of eye movements is a noninvasive, reliable and fast method to detect and quantify brain (dys)function. Here, we investigated the performance of two novel eye-trackers-the Thomas Oculus Motus-research mobile (TOM-rm) and the TOM-research stationary (TOM-rs)-and compared them with the performance of a well-established video-based eye-tracker, i.e.
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