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您的检索式：作者名="Bangguo Chen"
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| 1 | Acupuncture and moxibustion reduces neuronal edema in Alzheimer's disease rats显示文摘To examine the possible correlation of aberrant Wnt signaling and pathological changes in Alzheimer's disease, we established a rat model of Alzheimer's disease and measured axin and β-catenin expression in the hippocampus. Rats were pretreated with moxibustion or electroacu-puncture, or both, at Baihui(GV20) and Shenshu(BL23). Axin expression was lower, β-catenin expression was greater, and neuronal cytoplasmic edema was visibly prevented in the rats that had received the pretreatments. Our results suggest that the mechanism underlying the neuro-protective effect of acupuncture and moxibustion in Alzheimer's disease is associated with axin and β-catenin expression in the Wnt signal transduction pathway. | Hua Zhou Guojie Sun Lihong Kong Yanjun Du Feng Shen Shuju Wang Bangguo Chen Xiaoling Zeng | 2014 | Neural Regeneration Research2014，9，9： | 8 |
| 2 | Multidisciplinary Design Optimization with a New Effective Method显示文摘Collaborative optimization (CO) is one of the most widely used methods in multidisciplinary design optimization (MDO), which is an effective methodology to solve modern complex engineering problems. CO consists of two-level optimization problems which are system optimization problem and subspace optimization problem. The architecture of CO can reserve the autonomy of individual disciplines in maximum, while providing a mechanism for coordinating design problem. However, CO has low computation efficiency and is easy to diverge. For the purpose of solving these problems, the former improved methods were studied. The relaxation factors were used to change the system consistency constraints to inequality constraints, or the response surface estimation was used to surrogate the system consistency constraints. However, these methods didn’t avoid the computational difficulties very well, furthermore, some new problems arose. The concept of optimum constraint sensitivity was proposed, and the quadratic constraints in system level were reformed. Hence, a new collaborative optimization was developed, which is called system level dynamic constraint collaborative optimization (DCCO). The novel method is able to increase the exchange of information between system level and disciplinary level. The optimization results of each disciplinary optimization can be feedback to system level with the optimum constraint sensitivity. On the basis of the information, the new system level linear dynamic constraints can be constructed; it is better to reflect the effect of disciplinary level optimizations. The system level optimizer can clearly capture the boundary where disciplinary objective functions become zero, and considerably enhance the convergence. Two standard MDO examples were conducted to verify the feasibility and effectiveness of DCCO. The results show that DCCO can save the solving time, and is much better in terms of convergence and robustness, hence, the new method is more efficient. | CHEN Xiaokai LI Bangguo LIN Yi | 2010 | Chinese Journal of Mechanical Engineering2010，23，4： | 1 |
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