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Effectiveness of a toothbrushing intervention utilizing puzzle-solving game assisted with visual aids among adolescents: A single-blind randomized controlled trial.
Przegl Epidemiol
December 2024
Department of Public Health Dentistry, KLE VK Institute of Dental Sciences, KLE Academy of Higher Education and Research (KLE University), India.
Article Synopsis
- Effective oral hygiene is essential for preventing dental issues in adolescents, and traditional education methods often don't engage this age group adequately.
- The study tested a new approach called Jigsaw Puzzle-assisted Visual Reinforcement (JPVR) against conventional methods to see which was more effective in improving toothbrushing knowledge and practices.
- Results showed that adolescents who used the JPVR technique had significantly better knowledge, practices, and healthier clinical indicators after three months compared to those who received traditional education or video demonstrations.
Docking strategies for predicting protein-ligand interactions and their application to structure-based drug design.
Commun Inf Syst
October 2024
Dalton Cardiovascular Research Center, University of Missouri-Columbia.
Molecular docking stands as a pivotal element in the realm of computer-aided drug design (CADD), consistently contributing to advancements in pharmaceutical research. In essence, it employs computer algorithms to identify the "best" match between two molecules, akin to solving intricate three-dimensional jigsaw puzzles. At a more stringent level, the molecular docking challenge entails predicting the accurate bound association state based on the atomic coordinates of two molecules.
View Article and Find Full Text PDFCaricature-visual face recognition based on jigsaw solving and modal decoupling.
Sci Rep
November 2024
School of Computer Science, Beijing Institute of Technology, Beijing, 100000, China.
In recent years, face recognition technology has made significant progress in the field of real visual images, yet face recognition involving caricature-visual images remains a challenge due to the exaggerated and unrealistic features of caricature faces. To tackle this issue, this paper introduces the Caricature-visual Face Recognition Model Based on Jigsaw Solving and Modal Decoupling (CVF-JSM). The CVF-JSM consists of two modules: feature extraction and decoupling.
View Article and Find Full Text PDFSelf-reported and physiological stress indicators and the moderating role of the Dark Tetrad in violent and non-violent gaming.
Physiol Behav
January 2025
University of Luxembourg, Department of Behavioural and Cognitive Sciences, 11 Porte des Sciences, Esch-sur-Alzette L-4366, Luxembourg.
Article Synopsis
- Playing non-violent video games reduces perceived stress levels, but the impact of violent games on stress is less clear, especially considering personality traits like the Dark Tetrad.
- A lab experiment compared the effects of violent and non-violent games against a control (jigsaw puzzle) on cortisol levels, heart rate variability, and self-reported stress.
- Results showed that both types of games lowered cortisol levels and induced relaxation, but players with higher Dark Tetrad traits felt more relaxed after violent games while experiencing stress from the puzzle.
Point-MPP: Point Cloud Self-Supervised Learning From Masked Position Prediction.
IEEE Trans Neural Netw Learn Syst
October 2024
Article Synopsis
- Masked autoencoding often emphasizes low-level details in data reconstruction, which can hinder its ability to transfer high-level semantics effectively.
- This article proposes a unique jigsaw puzzle solver that predicts the positions of disordered point cloud patches to enhance semantic learning, akin to how children learn through puzzles.
- By using a transformer-based model to focus on high-level semantics while applying a consistency constraint, the proposed method shows significant performance improvements across various downstream vision tasks, achieving state-of-the-art results.
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