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Clinical Observation of VR Virtual Reality Rehabilitation Training Combined with Acupuncture in the Treatment of Mild Cognitive Impairment.
SLAS Technol
January 2025
Faculty of Medicine, Jingchu Institute of Technology, Jingmen 448000, Hubei, China. Electronic address:
Mild cognitive impairment (MCI) is an intermediate state between normal aging and dementia, and its symptoms include easy forgetting, distraction, and mental deterioration. This directly affects the patient's motor function, daily living ability, and social adaptability, and brings many difficulties to the patient's reintegration into society. Therefore, clinical research on MCI is very necessary.
View Article and Find Full Text PDFImmersive exposure to simulated visual hallucinations modulates high-level human cognition.
Conscious Cogn
January 2025
Humane Technology Lab, Catholic University of Sacred Heart, Milan, Italy; Applied Technology for Neuro-Psychology Lab., Istituto Auxologico Italiano IRCCS, Milan, Italy. Electronic address:
Psychedelic drugs offer valuable insights into consciousness, but disentangling their causal effects on perceptual and high-level cognition is nontrivial. Technological advances in virtual reality (VR) and machine learning have enabled the immersive simulation of visual hallucinations. However, comprehensive experimental data on how these simulated hallucinations affects high-level human cognition is lacking.
View Article and Find Full Text PDFA multiscale molecular structural neural network for molecular property prediction.
Mol Divers
January 2025
Key Laboratory for Macromolecular Science of Shaanxi Province, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an, 710119, People's Republic of China.
Molecular Property Prediction (MPP) is a fundamental task in important research fields such as chemistry, materials, biology, and medicine, where traditional computational chemistry methods based on quantum mechanics often consume substantial time and computing power. In recent years, machine learning has been increasingly used in computational chemistry, in which graph neural networks have shown good performance in molecular property prediction tasks, but they have some limitations in terms of generalizability, interpretability, and certainty. In order to address the above challenges, a Multiscale Molecular Structural Neural Network (MMSNet) is proposed in this paper, which obtains rich multiscale molecular representations through the information fusion between bonded and non-bonded "message passing" structures at the atomic scale and spatial feature information "encoder-decoder" structures at the molecular scale; a multi-level attention mechanism is introduced on the basis of theoretical analysis of molecular mechanics in order to enhance the model's interpretability; the prediction results of MMSNet are used as label values and clustered in the molecular library by the K-NN (K-Nearest Neighbors) algorithm to reverse match the spatial structure of the molecules, and the certainty of the model is quantified by comparing virtual screening results across different K-values.
View Article and Find Full Text PDFExperience of breast cancer patients participating in a virtual reality psychological rehabilitation: a qualitative study.
Support Care Cancer
January 2025
Department of Oncology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Objective: Breast cancer is one of the most common types of cancer in China and worldwide. Apart from cancer, a majority of breast cancer patients suffer from various psychological disorders concurrently. The purpose of this study is to understand the actual experiences of breast cancer patients participating in Virtual Reality (VR) for psychological intervention, and to provide a theoretical basis for the development of VR psychological rehabilitation in China.
View Article and Find Full Text PDFAn Iterative Design Method for Advancing Air Traffic Control and Management Training Through Immersive VFR 3D Map Visualization.
IISE Trans Occup Ergon Hum Factors
January 2025
The Bradley Department of Electrical and Computer Engineering, College of Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.
OCCUPATIONAL APPLICATIONSInnovative tools that align with modern learners' preferences are essential for training in safety-critical professions like Air Traffic Control/Management. This study evaluated a Virtual Reality Visual Flight Rules 3D Map Visualization Tool designed to meet the Federal Aviation Administration's (FAA) modernization goals. The tool immerses trainee in contextually accurate environments, enhancing engagement and self-paced learning.
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