Objective: To evaluate the performance of adult young subjects in a Random Number Generation (RNG) task by controlling the response speed (RS).
Method: Sixty-nine university students of both sexes took part in the experiment (25.05 +/- 6.71 year-old). Participants were alloted into 3 groups which differed in RS rates to generate numbers: 1, 2 and 4 seconds to generate each number. A digital metronomer was used to control RS. Participants were asked to generate 100 numbers. The responses were measured through Evans's RNG Index.
Results: There were statistically significant differences among the groups [F (3, 68) = 7.120; p <.05]. Differences were localized between 1 and 2 seconds (p = 0.004) and between 1 and 4 seconds (p = 0.006). No differences were observed between 2 and 4 seconds (p = 0.985).
Conclusion: The present results suggest that the response speed in production of random numbers influences the performance of the Random Numbers Generation task.
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http://dx.doi.org/10.1590/s0004-282x2004000100010 | DOI Listing |
Eur J Dent Educ
January 2025
QU Health College of Dental Medicine, Qatar University, Doha, Qatar.
Aims: This study aimed to evaluate the impact of community-based dental education (CBDE) on the learning experiences of undergraduate dental students and recent dental graduates from two diverse geographical regions.
Methods: The study followed a cross-sectional design, conducted online using Google Forms, with ethical approval from Qatar University. A non-probability purposive sampling method was used to recruit dental students and recent graduates from three institutions in India and one in Qatar.
Med Phys
January 2025
Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Background: Kidney tumors, common in the urinary system, have widely varying survival rates post-surgery. Current prognostic methods rely on invasive biopsies, highlighting the need for non-invasive, accurate prediction models to assist in clinical decision-making.
Purpose: This study aimed to construct a K-means clustering algorithm enhanced by Transformer-based feature transformation to predict the overall survival rate of patients after kidney tumor resection and provide an interpretability analysis of the model to assist in clinical decision-making.
Ann Surg Oncol
January 2025
Brody School of Medicine (BSOM), East Carolina University (ECU), Greenville, NC, USA.
J Cancer Educ
January 2025
Université de Reims Champagne-Ardenne, CRESTIC, Reims, France.
Cancer remains a leading cause of mortality worldwide, requiring physicians to understand multidisciplinary treatments. This study assessed the impact of a clinical rotation in a cancer center on medical students' knowledge of cancer treatments from a multidisciplinary perspective. A traditional single-department rotation was compared to a multidisciplinary rotation to determine whether broader exposure enhances knowledge and prepares students for multidisciplinary care.
View Article and Find Full Text PDFSci Rep
January 2025
School of Air Traffic Management, Civil Aviation Flight University of China, Guanghan, 618300, China.
To address the challenges of high computational complexity and poor real-time performance in binocular vision-based Unmanned Aerial Vehicle (UAV) formation flight, this paper introduces a UAV localization algorithm based on a lightweight object detection model. Firstly, we optimized the YOLOv5s model using lightweight design principles, resulting in Yolo-SGN. This model achieves a 65.
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