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Water-based interventions in rheumatic diseases: mechanisms, benefits, and clinical applications.
Rheumatol Int
December 2024
Chair of Psychiatry and Narcology, Astana Medical University, Astana, Kazakhstan.
Chronic pain and restricted mobility, hallmark features of rheumatic diseases, substantially affect patients' quality of life, often resulting in physical disability and emotional distress. Given the long-term nature of these conditions, there is a growing interest in complementary therapeutic approaches, emphasizing the need to explore non-pharmacological treatments. Hydrotherapy, balneotherapy, and mud therapy have emerged as effective interventions to alleviate pain, reduce inflammation, improve joint mobility, and enhance overall physical and mental well-being.
View Article and Find Full Text PDFGenerative adversarial networks with texture recovery and physical constraints for remote sensing image dehazing.
Sci Rep
December 2024
College of Electrical Engineering, Northeast Electric Power University, Jilin, 132012, China.
The scattering of tiny particles in the atmosphere causes a haze effect on remote sensing images captured by satellites and similar devices, significantly disrupting subsequent image recognition and classification. A generative adversarial network named TRPC-GAN with texture recovery and physical constraints is proposed to mitigate this impact. This network not only effectively removes haze but also better preserves the texture information of the original remote sensing image, thereby enhancing the visual quality of the dehazed image.
View Article and Find Full Text PDFWater quality prediction and carbon reduction mechanisms in wastewater treatment in Northwest cities using Random Forest Regression model.
Sci Rep
December 2024
School of Public Administration, Guangzhou University, Guangzhou, 510006, China.
With the accelerated urbanization and economic development in Northwest China, the efficiency of urban wastewater treatment and the importance of water quality management have become increasingly significant. This work aims to explore urban wastewater treatment and carbon reduction mechanisms in Northwest China to alleviate water resource pressure. By utilizing online monitoring data from pilot systems, it conducts an in-depth analysis of the impacts of different wastewater treatment processes on water quality parameters.
View Article and Find Full Text PDFEEG-based emotion recognition using multi-scale dynamic CNN and gated transformer.
Sci Rep
December 2024
School of Electronic Information and Electrical Engineering, Yangtze University, Jingzhou, 434100, Hubei, China.
Emotions play a crucial role in human thoughts, cognitive processes, and decision-making. EEG has become a widely utilized tool in emotion recognition due to its high temporal resolution, real-time monitoring capabilities, portability, and cost-effectiveness. In this paper, we propose a novel end-to-end emotion recognition method from EEG signals, called MSDCGTNet, which is based on the Multi-Scale Dynamic 1D CNN and the Gated Transformer.
View Article and Find Full Text PDFPredicting the toxic side effects of drug interactions using chemical structures and protein sequences.
Sci Rep
December 2024
School of Public Health, Chongqing Medical University, 1 Yixueyuan Road, Yuzhong District, Chongqing, 400016, China.
The study aims to address the critical issue of toxic side effects resulting from drug combinations, which can significantly increase health risks, clinical complications, and lead to drug being withdrawn from the market. A model named TSEDDI (toxic side effects of drug-drug interaction) has been developed to improve the identification of drug pairs that may induce toxicity or adverse reactions. By utilizing drug chemical structures and diverse proteins, we employ a convolutional neural network (CNN) to extract features from molecular images, enzyme proteins, transporter proteins, and target proteins.
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