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        A Study on Fiber Laser Lap Welding of Thin Stainless Steel

        Rong-Tai Yang,Zhi-Wei Chen 한국정밀공학회 2013 International Journal of Precision Engineering and Vol. No.

        This study analyzed variations of shear strength that depend on the fiber laser process during lap welding of AISI 304 stainless thin sheets. The experimental plan was based on a Taguchi orthogonal array table. A hybrid method that includes the response surface methodology (RSM) and back-propagation neural network (BPNN) integrated genetic algorithm (GA) are proposed to search for an optimal parameter setting of the lap welding process. The results show that the RSM and BPNN/GA methods are both effective tools for the optimization of lap welding process parameters. At the same time, an analysis of variance (ANOVA) was implemented to identify significant factors influencing the lap welding process parameters. In addition, the micrographs also show that the appropriate setting of the laser power, befitting the penetration depth and welding line length of the fusion zone sections were produced. A confirmation experiment was also conducted in order to validate the optimal welding process parameter values.

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        Modeling and Optimization in Precise Boring Processes for Aluminum Alloy 6061T6 Components

        Rong-Tai Yang,Yung-Kuang Yang,Hsin-Te Liao,Show-Shyan Lin 한국정밀공학회 2012 International Journal of Precision Engineering and Vol. No.

        This investigation applies a Taguchi orthogonal table, integrating response surface methodology (RSM) to optimize parameters of a precise boring process using a computer numerical control (CNC) machine operation for the production of aluminum alloy 6061T6 components. By applying RSM analysis, the predictive mathematical model of the roughness average and roundness were developed in terms of the cutting speed, feed rate, and depth of cut. The error analysis and experimental results indicate that the proposed predictive mathematical models could adequately describe the performance indicators within the limits of the factors that are being investigated. In addition, the analysis of variance (ANOVA) was implemented to identify the significant factors and the response surface contours were constructed for determining the optimum conditions of precise boring processes using CNC machine operations.

      • H<sub>2</sub>O<sub>2</sub> Inhibits Proliferation and Mediates Suppression of Migration via DLC1/RhoA Signaling in Cancer Cells

        Ma, Long,Zhu, Wen-Zhen,Liu, Ting-Ting,Fu, Hui-Ling,Liu, Zhao-Jun,Yang, Bing-Wu,Song, Tai-Yu,Li, Guo-Rong Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.4

        Background: RhoGTPase-activating proteins (RhoGAPs) regulate RhoGTPases in cells, but whether individual reactive oxygen species (ROS) regulate RhoGAPs is unknown. Our previous published papers have shown that deleted in liver cancer 1 (DLC1) inhibits cancer cell migration by its RhoGAP activity. The present study was designed to explore the role of $H_2O_2$ in regulation of DLC1. Materials and Methods: We treated cells with $H_2O_2$ for 24h and phenotypic changes were analyzed by MTT, RT-PCR, Western blotting, immunofluorescence staining and wound healing assays. Results: $H_2O_2$ downregulated cyclin D1 and cyclin E to inhibit proliferation, and upregulated BAX to induce apoptosis in MCF-7 cells. Compared with non-tumorigenic cells, $H_2O_2$ increased expression of DLC1 and reduced activity of RhoA in cancer cells. Stress fiber production and migration were also suppressed by $H_2O_2$ in MDA-MB-231 cells. Conclusions: Our study suggests that $H_2O_2$ inhibits proliferation through modulation of cell cycle and apoptosis-related genes, and inhibits migration by decreasing stress fibers via DLC1/RhoA signaling.

      • Association of XRCC3 Thr241Met Polymorphisms and Gliomas Risk: Evidence from a Meta-analysis

        Liang, Hong-Jie,Yan, Yu-Lan,Liu, Zhi-Ming,Chen, Xu,Peng, Qi-Liu,Wang, Jian,Mo, Cui-Ju,Sui, Jing-Zhe,Wu, Jun-Rong,Zhai, Li-Min,Yang, Shi,Li, Tai-Jie,Li, Ruo-Lin,Li, Shan,Qin, Xue Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.7

        The relationship between the X-ray repair cross-complementing group 3 (XRCC3) Thr241Met polymorphism and gliomas remains inclusive or controversial. For better understanding of the effect of XRCC3 Thr241Met polymorphism on glioma risk, a meta-analysis was performed. All eligible studies were identified through a search of PubMed, Elsevier Science Direct, Excerpta Medica Database (Embase) and Chinese Biomedical Literature Database (CBM) before May 2013. The association between the XRCC3 Thr241Met polymorphism and gliomas risk was conducted by odds ratios (ORs) and 95% confidence intervals (95% CIs). A total of nine case-control studies including 3,533 cases and 4,696 controls were eventually collected. Overall, we found that XRCC3 Thr241Met polymorphism was significantly associated with the risk of gliomas (T vs. C: OR=1.10, 95%CI=1.01-1.20, P=0.034; TT vs. CC: OR=1.30, 95%CI=1.03-1.65, P=0.027; TT vs. TC/CC: OR=1.29, 95%CI=1.01-1.64, P=0.039). In the subgroup analysis based on ethnicity, the significant association was found in Asian under four models (T vs. C: OR=1.17, 95%CI=1.07-1.28, P=0.00; TT vs. CC: OR=1.79, 95%CI=1.36-2.36, P=0.00; TT vs. TC/CC: OR=1.75, 95%CI=1.32-2.32, P=0.00; TT/TC vs. CC: OR=1.11,95% CI=1.02-1.20). This meta-analysis suggested that the XRCC3 Thr241Met polymorphism is a risk factor for gliomas, especially for Asians. Considering the limited sample size and ethnicities included in the meta-analysis, further large scale and well-designed studies are needed to confirm our results.

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