Vision Training is important for basketball players to effectively search for teammates who has wide-open opportunities to shoot, observe the defenders around the wide-open teammates and quickly choose a proper way to pass the ball to the most suitable one. We develop an immersive virtual reality (VR) system called VisionCoach to simulate the player's viewing perspective and generate three designed systematic vision training tasks to benefit the cultivating procedure. By recording the player's eye gazing and dribbling video sequence, the proposed system can analyze the vision-related behavior to understand the training effectiveness. To demonstrate the proposed VR training system can facilitate the cultivation of vision ability, we recruited 14 experienced players to participate in a 6-week between-subject study, and conducted a study by comparing the most frequently used 2D vision training method called Vision Performance Enhancement (VPE) program with the proposed system. Qualitative experiences and quantitative training results are reported to show that the proposed immersive VR training system can effectively improve player's vision ability in terms of gaze behavior and dribbling stability. Furthermore, training in the VR-VisionCoach Condition can transfer the learned abilities to real scenario more easily than training in the 2D-VPE Condition.
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http://dx.doi.org/10.1109/TVCG.2023.3335312 | DOI Listing |
Sci Rep
December 2024
College of Advanced Manufacturing Innovation, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand.
Vector-borne diseases pose a major worldwide health concern, impacting more than 1 billion people globally. Among various blood-feeding arthropods, mosquitoes stand out as the primary carriers of diseases significant in both medical and veterinary fields. Hence, comprehending their distinct role fulfilled by different mosquito types is crucial for efficiently addressing and enhancing control measures against mosquito-transmitted diseases.
View Article and Find Full Text PDFAust Crit Care
December 2024
Department of Music, Canadian Centre for Ethnomusicology (CCE), Department of Performing Arts, Faculty of Communication and Media Studies, University for Development Studies, Ghana; Department of Music, Faculty of Arts, University of Alberta, 3-98 Fine Arts Building, Edmonton, AB, T6G 2C9, Canada. Electronic address:
Background: Despite syntheses of evidence showing efficacy of music intervention for improving psychological and physiological outcomes in critically ill patients, interventions that include nonmusic sounds have not been addressed in reviews of evidence. It is unclear if nonmusic sounds in the intensive care unit (ICU) can confer benefits similar to those of music.
Objective: The aim of this study was to summarise and contrast available evidence on the effect of music and nonmusic sound interventions for the physiological and psychological outcomes of ICU patients based on the results of randomised controlled trials.
Unlabelled: Diabetic macular edema (DME) is a leading cause of visual impairment and blindness among diabetic patients, its prevalence is continuing to increase worldwide. Faricimab, a bispecific antibody, represents a new generation of treatments for DME.
Purpose: This study presents an indirect comparison of the effectiveness and safety of faricimab versus other treatment options for DME.
J Relig Health
December 2024
College of Allied Medical Professions, Angeles University Foundation, 2009, Angeles City, Philippines.
The rise of artificial intelligence (AI) has caught the attention of the world as it challenges the status quo on human operations. As AI has dramatically impacted education, healthcare, industry, and economics, a Catholic ethical study of human dignity in the context of AI in healthcare is presented in this article. The debates regarding whether AI will usher well or doom the dignity of humankind are occasioned by increasing developments of technology in patient care and medical decision-making.
View Article and Find Full Text PDFSci Rep
December 2024
Neurology, Icahn School of Medicine at Mount Sinai, New York, USA.
We used machine learning to investigate the residual visual field (VF) deficits and macula retinal ganglion cell (RGC) thickness loss patterns in recovered optic neuritis (ON). We applied archetypal analysis (AA) to 377 same-day pairings of 10-2 VF and optical coherence tomography (OCT) macula images from 93 ON eyes and 70 normal fellow eyes ≥ 90 days after acute ON. We correlated archetype (AT) weights (total weight = 100%) of VFs and total retinal thickness (TRT), inner retinal thickness (IRT), and macular ganglion cell-inner plexiform layer (GCIPL) thickness.
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