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        Improved HPC method for nonlinear wave tank

        Wenbo Zhu,Marilena Greco,Yanlin Shao 대한조선학회 2017 International Journal of Naval Architecture and Oc Vol.9 No.6

        The recently developed Harmonic Polynomial Cell (HPC) method has been proved to be a promising choice for solving potential-flow Boundary Value Problem (BVP). In this paper, a flux method is proposed to consistently deal with the Neumann boundary condition of the original HPC method and enhance the accuracy. Moreover, fixed mesh algorithm with free surface immersed is developed to improve the computational efficiency. Finally, a two dimensional (2D) multi-block strategy coupling boundary-fitted mesh and fixed mesh is proposed. It limits the computational costs and preserves the accuracy. A fully nonlinear 2D numerical wave tank is developed using the improved HPC method as a verification.

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        Improved HPC method for nonlinear wave tank

        Zhu, Wenbo,Greco, Marilena,Shao, Yanlin The Society of Naval Architects of Korea 2017 International Journal of Naval Architecture and Oc Vol.9 No.6

        The recently developed Harmonic Polynomial Cell (HPC) method has been proved to be a promising choice for solving potential-flow Boundary Value Problem (BVP). In this paper, a flux method is proposed to consistently deal with the Neumann boundary condition of the original HPC method and enhance the accuracy. Moreover, fixed mesh algorithm with free surface immersed is developed to improve the computational efficiency. Finally, a two dimensional (2D) multi-block strategy coupling boundary-fitted mesh and fixed mesh is proposed. It limits the computational costs and preserves the accuracy. A fully nonlinear 2D numerical wave tank is developed using the improved HPC method as a verification.

      • KCI등재

        Association between Glutathione S-Transferase T1, M1, and P1 Genotypes and the Risk of Colorectal Cancer

        Ning Cong,Lisheng Liu,Ying Xie,Wenbo Shao,Jinlong Song 대한의학회 2014 Journal of Korean medical science Vol.29 No.11

        Glutathione S-transferases (GSTs) are enzymes which play an important role in theneutralization of toxic compounds and eradication of electrophilic carcinogens. Geneticpolymorphisms within the genes encoding for GSTs may therefore cause variations in theirenzyme activity, which may in turn influence the interindividual susceptibility to cancers. In this study, we aimed to investigate the association between genetic polymorphisms ofGSTT1, GSTM1, and GSTP1 and the risk of colorectal cancer (CRC) in 264 cases and 317controls in a Chinese population. Genotyping was performed by using multiplex PCR (forGSTT1 and GSTM1) and PCR-RFLP (for GSTP1) methods. The association between thepolymorphic genotypes and CRC risk was evaluated by deriving odds ratios (ORs) and 95%confidence intervals (CIs) using unconditional logistic regression analysis. Our resultsshowed that individuals with GSTT1 and GSTM1 null genotypes exhibited a higher risk ofCRC (GSTT1, OR,1.66; 95% CI, 1.20-2.31, P = 0.003; GSTM1, OR,1.57; 95% CI,1.13-2.18, P = 0.007), while no association was observed for GSTP1 (Pheterozygous = 0.790 or Pvariant= 0.261). Furthermore, individuals who simultaneously carried the null genotypes forboth GSTT1 and GSTM1 showed a stronger risk association (OR, 1.95; 95% CI, 1.33-2.85;P < 0.001). In conclusion, the GSTT1 and GSTM1 polymorphisms, but not GSTP1, maymodulate the CRC risk among Chinese.

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