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        Optimization method of vehicle handling stability based on response surface model with D-optimal test design

        Bo Li,Wenqing Ge,Dechuan Liu,Cao Tan,Binbin Sun 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.6

        In order to improve the handling stability of a vehicle, an optimization method of vehicle handling stability based on D-optimal test design was proposed in this paper. The multibody dynamic model was established and verified by experiments. On this basis, a response surface model was established based on D-optimal test design. An improved genetic-particle swarm algorithm was used to optimize the vehicle handling stability. The general evaluation score of vehicle handling stability was taken as the optimization objective. The vehicle structural parameters, tire and spring characteristics were regarded as design variables. The results showed that the multi-body dynamic model was accurate. After optimization, the general evaluation score of vehicle handling stability increased by 8.98 %; the score of the steering returnability and steady static circular test was increased by 20.43 % and 27.31 %, respectively. Then from the sensitivity of the optimization variables to the stability of the vehicle's handling, the rear wheel lateral stiffness has the greatest impact on it, with a sensitivity of 86.9 %; the wheelbase has the smallest impact on it, with a sensitivity of -3.39 %, which can be reduced in future optimization variable to improve design efficiency.

      • Quantitative Proteomic Analysis Reveals Up-Regulation of Type I Collagen During Tumorigenesis of Colorectal Cancer

        Xia Zou,Bo Feng,Taotao Dong,Binbin Tan,Hao Shen,Xiu Zhang,Menghui Zhang,Minhua Zheng,Yan Zhang 한국당과학회 2012 한국당과학회 학술대회 Vol.2012 No.1

        Colorectal cancer (CRC) is one of the most prevalent cancers in the world with high mortality and morbidity rates. In this study, we have performed comparative proteomic profiling of sera from CRC patients at stage I (n=17), stage II (n=40), stage III (n=24) and healthy subjects (n=25) to gain a global view of protein expression change during CRC tumorigenesis and provide potential targets for CRC diagnosis and treatment. As a result, a total of 93 proteins were found differentially expressed in CRC patients with a label-free quantitative APXE method. After GO and KEGG pathway analysis, those proteins most frequently involved in ECM-receptor interaction, complement and coagulation cascades. As important as components of ECM, we found several collagens in CRC serum had been changed from tumor stage I to IV. And the validation of collagen I (COL1) at RNA and protein expression level shown extremely comparable to pooled serum proteomic results using independent 26 paired tumor and matched normal colorectal tissues. Those findings indicated that the change of collagen I observed in serum were indeed from pathogenic lesion of colorectal tissue. Moreover, we further investigated serum levels of COL1, PICP (the synthesis indicator) and CTx (the breakdown indicator) in 77 CRC patients and 33 normal controls by ELISA. The results showed PICP and CTx were better for discriminating normal from cancer groups as well as non-metastatic from metastatic tumor than COL1. Finally, we evaluated the expression of MMPs in paired tumor and normal tissues from patients with different stages. Notably, the expression of MMP1, 7 and 14 were remarkably enhanced in carcinoma tissues and the trend were parallel with the progression of tumor stage. The expression of E-cadherin and CDX2, which had been considered as targets of COL1 in cell models, were also verified in tissues and displayed decrease in tumor. Overall, COL1 might be affected by MMP1, 7, 14 and had effects on cell adhesion and differentiation through E-cadherin and CDX2.

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