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NUMERICAL SIMULATION AND PREDICTION OF NEGATIVE STORM SURGE IN THE YANGTZE RIVER ESTUARY
Zeng Hao Qin,Yi Hong Duan,De Bao Hu,Mao Xing Gong 한국해안해양공학회 1999 학술강연회 발표논문초록집 Vol.1 No.1
An attempt is made by using both statistical model and multi-layer simplified ECOM-Si model with temperature and salinity effects neglected to investigate numerically the negative storm surge (SS) in the Yangtze River estuary. An operational system for predicting the negative SS are constructed in conjunction of ECOM-Si model with the operational limited-area fine-mesh numerical weather prediction (NWP) model developed by the Shanghai Typhoon Institute(STI).To test the reliability of ECOM-Si model and to understand the computational feature of the model in simulating sea surface elevation, both semi-diurnal tide computation at the river mouth tidal station and numerical SS simulations under the action of idealized easterly and westerly winds are completed. Based on these experiments, a series of negative SS simulations induced by the cold wave, tropical and extratropical cyclones are carried out respectively, in which the objective analysis data of atmospheric forcings on the sea surface are offered by STI NWP model. Case experiments show that the predicted peak negative SS are coincident with the real ones and the phase differences between them are within a acceptable limit. The system is hopeful in operational use for predicting negative SS in the Yangtze River estuary.
Regulatory Role of SFN Gene in Hepatocellular Carcinoma and Its Mechanism
Ying Hui,Hao Zeng,Yi Feng,Wenzhou Qin,Peisheng Chen,Lifang Huang,Wenfu Zhong,Liwen Lin,Hui Lv,Xue Qin 한국생물공학회 2021 Biotechnology and Bioprocess Engineering Vol.26 No.3
Purpose: This study aims to explore the differential expression of SFN gene and its regulatory role in different hepatocarcinoma cells, and the impact on hepatocarcinoma. Materials and Methods: High and low SFN expression cells were screened by qRT-PCR and western blotting methods. SFN over expression and interference vectors were constructed. Cell viability was detected by CCK8 kit, cell cycle and apoptosis were detected by flow cytometry. Cell invasion and migration were detected. CCNB1 and CDK1 expression levels were detected by qRT-PCR and Western blotting methods. Results: The high SFN expression BEL7402 cells and the low SFN expression Hep3B cells were screened from Hep3B, HepG2, and BEL7402 cells. The activity of Hep3B cells overexpression vector SFNpcDNA3.1(+) decreased and apoptosis increased, the ratio of G0/G1 decreased and the ratio of S phase increased. The activity of BEL7402 cells transfected with SFN siRNA decreased and apoptosis increased, the ratio of G0/G1 decreased and the ratio of G2/M increased. Interference and overexpression vectors have little effect on the invasion and migration of the two cells. The expression of CDK1 in Hep3B cells decreased significantly, the expression of CDK1 and CCNB1 in BEL7402 cells increased significantly. Conclusions: The differentially expressed SFN gene can regulate the growth of the two hepatocarcinoma cells, high expression of SFN gene can inhibit their growth. The mechanism may be achieved by regulating CCNB1 and CDK1 expression.
Guo, Pi,Shen, Shun-Li,Zhang, Qin,Zeng, Fang-Fang,Zhang, Wang-Jian,Hu, Xiao-Min,Zhang, Ding-Mei,Peng, Bao-Gang,Hao, Yuan-Tao Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.14
Objectives: To evaluate the performance of clustering methods used in the prognostic assessment of categorical clinical data for hepatocellular carcinoma (HCC) patients in China, and establish a predictable prognostic nomogram for clinical decisions. Materials and Methods: A total of 332 newly diagnosed HCC patients treated with hepatic resection during 2006-2009 were enrolled. Patients were regularly followed up at outpatient clinics. Clustering methods including the Average linkage, k-modes, fuzzy k-modes, PAM, CLARA, protocluster, and ROCK were compared by Monte Carlo simulation, and the optimal method was applied to investigate the clustering pattern of the indices including platelet count, platelet/lymphocyte ratio (PLR) and serum aspartate aminotransferase activity/platelet count ratio index (APRI). Then the clustering variable, age group, tumor size, number of tumor and vascular invasion were studied in a multivariable Cox regression model. A prognostic nomogram was constructed for clinical decisions. Results: The ROCK was best in both the overlapping and non-overlapping cases performed to assess the prognostic value of platelet-based indices. Patients with categorical platelet-based indices significantly split across two clusters, and those with high values, had a high risk of HCC recurrence (hazard ratio [HR] 1.42, 95% CI 1.09-1.86; p<0.01). Tumor size, number of tumor and blood vessel invasion were also associated with high risk of HCC recurrence (all p< 0.01). The nomogram well predicted HCC patient survival at 3 and 5 years. Conclusions: A cluster of platelet-based indices combined with other clinical covariates could be used for prognosis evaluation in HCC.
He, Jian-Rong,Xi, Jing,Ren, Ze-Fang,Qin, Han,Zhang, Ying,Zeng, Yi-Xin,Mo, Hao-Yuan,Jia, Wei-Hua Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.12
Purpose: Complement receptor 1 (CR1) is induced by Epstein-Barr virus (EBV) and may be a potential biomarker of nasopharyngeal carcinoma (NPC). We conducted the present study to evaluate the association of CR1 expression with clinicopathological features and prognosis of NPC. Methods: We enrolled 145 NPC patients and 110 controls. Expression levels of CR1 in peripheral blood mononuclear cells (PBMCs) were detected using quantitative real-time PCR and associations with clinicopathological features and prognosis were examined. Results: CR1 levels in the NPC group [3.54 (3.34, 3.79)] were slightly higher than those in the controls [3.33 (3.20, 3.47)] (P<0.001). Increased CR1 expression was associated with histology classification (type III vs. type II, P=0.002), advanced clinical stage (P=0.003), high T stage (P=0.017), and poor overall survival (HR, 4.89; 95% CI, 1.23-19.42; P=0.024). However, there were no statistically significant differences in CR1 expression among N or M stages. Conclusion: These findings indicate that CR1 expression in PBMCs may be a new biomarker for prognosis of NPC and a potential therapeutic target.