The analysis was carried out concerning new characteristics of diagnostic informativeness of particular biochemical, immunologic, cytochemical and hematologic indicators under impact of vibration on human organism. It is established that high diagnostic informativeness is typical for indicators of oxidation metabolism (alpha-superoxide dismutase, myeloperoxidase in neutrophils, alpha-tokopherol), humoral immunity (IgA, IgG), hematologic indicators (corpuscular volume, peroxide hemolysis of erythrocytes, thrombocytes aggregation velocity) and level of creatinine in urine reflecting damages of muscular tissue. The levels of biomarkers mentioned above begin to alter in healthy workers and in individuals under suspicion of vibration disease. These indicators are characterized by high diagnostic sensitivity and pathognomonicity and can be recommended for early diagnostic of vibration disease.
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Sci Rep
January 2025
College of Intelligent Equipment, Shandong University of Science and Technology, Taian, 271000, Shandong, China.
Coal-gangue recognition technology plays an important role in the intelligent realization of integrated working faces and coal quality improvement. However, the existing methods are easily affected by high dust, noise, and other disturbances, resulting in unstable recognition results that make it difficult to meet the needs of industrial applications. To realize accurate recognition of coal-gangue in noisy environments, this paper proposes an end-to-end multi-scale feature fusion convolutional neural network (MCNN-BILSTM) based gangue recognition method, which can automatically learn and fuse complementary information from multiple signal components of vibration signals.
View Article and Find Full Text PDFJ Chem Phys
January 2025
Graduate School of Engineering, Chiba University, 1-33, Yayoi-cho, Inage-ku, Chiba, Chiba 263-8522, Japan.
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View Article and Find Full Text PDFNano Lett
January 2025
Departments of Chemistry, and Physics and Astronomy, University of Southern California, Los Angeles, California 90089, United States.
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View Article and Find Full Text PDFACS Nano
January 2025
Institute of Functional Nano & Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-Based Functional Materials and Devices, Soochow University, Suzhou 215123, China.
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View Article and Find Full Text PDFSci Rep
December 2024
Guangzhou Institute of Technology, Xidian University, Guangzhou, 510555, China.
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