In order to enhance the accuracy of dual polarization radar in hydrometeor classification, a hydrometeor classification algorithm based on multi-sample fusion Support Vector Machine (SVM) is proposed in this paper after considering that traditional fuzzy logic algorithm has the defect of over relying on expert experience to set parameters. The data of four polarization parameters (horizontal reflectivity factor, differential reflectivity, correlation coefficient and differential propagation phase constant) detected by the KOHX radar were taken as the feature information of hydrometeors. The dataset was collected, and the model was trained. According to the classification results of SVM model and combined with the distribution characteristics of target particles in the rainfall area, a classification system that can effectively identify four types of particles (dry snow, moderate rain, big drops and hail possibly with rain) was established. This model greatly reduced the misidentification of dry snow (DS) and moderate rain (RA)) in the precipitation area, and significantly improved the overall classification effect of hydrometeors in the area. The 0.5 • elevation scanning data of the radar at a certain time were tested, and the classification accuracy of system model was up to 97.21%. The average accuracy of other elevation scanning data was approximately 97%, which showed strong robustness.

To investigate the effect of long non-coding RNA TTTY15 on high glucose-induced renal tubular epithelial cell injury and its possible mechanism. Human renal tubular epithelial cells HK-2 were induced by high glucose to establish cell injury model. Small molecule interfering-negative control, small molecule interfering-RNA gene TTTY15, microRNA-negative control, miR-942-5p mimics, small molecule interfering-RNA gene TTTY15 and anti-microRNA-negative control, small molecule interfering-RNA gene TTTY15 and anti-miR-942-5p were transfected into HK-2 cells by liposome transfection method and then treated with 25 mmol/l glucose for 24 h. The expression of TTTY15 and microRNA-942-5p was detected by quantitative real time polymerase chain reaction; the levels of interleukin-6 and tumor necrosis factor-alpha in the supernatant were detected by enzyme-linked immunosorbent assay; apoptosis rate was detected by flow cytometry. Dual-luciferase report assay verified the targeted regulation relationship between TTTY15 and microRNA-942-5p; the expression of cleaved caspase-3 and cleaved caspase-9 proteins was detected by Western blot. The expression of TTTY15 increased (p<0.05) and microRNA-942-5p decreased (p<0.05) in HK-2 cells induced by high glucose; transfection of small molecule interfering-RNA gene TTTY15 or microRNA-942-5p mimics could decrease the levels of interleukin-6, tumor necrosis factor-alpha (p<0.05), apoptosis, cleaved caspase-3 and cleaved caspase-9 proteins in HK-2 cells induced by high glucose (p<0.05); TTTY15 can regulate the expression of microRNA-942-5p; co-transfection of small molecule interfering-RNA gene TTTY15 and anti-miR-942-5p decreased the effect of small molecule interfering-RNA gene TTTY15 on inflammatory reaction and apoptosis induced by high glucose in HK-2 cells. Interference with TTTY15 expression may attenuate high glucose-induced tubular epithelial cell injury by targeting microRNA-942-5p expression and inhibiting the inflammatory reaction and apoptosis.