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2篇 您的检索式:作者名="Gong Susu"
    题名 作者 年代 出处 被引量
1miR-20a Promotes the Axon Regeneration of DRG Neurons by Targeting Nr4a3显示文摘Dear Editor,The peripheral nervous system(PNS)regenerates more easily after injury than the central nervous system(CNS)[1].Sensory neurons in the L4–L6 dorsal root ganglia(DRGs)extend axons to form the sciatic nerve along with motor axons.The DRG neuron is one of the exceptional mature neurons whose axons can regenerate after injury.Lili Zhao Leilei Gong Ping Li Jing Qin Lingchi Xu Qiyao Wei Huimin Xie Susu Mao Bin Yu Xiaosong Gu Songlin Zhou 2021Neuroscience Bulletin2021,37,4:3
2Probability-based analytical model for predicting the post-earthquake residual deformation of SDOF systems显示文摘A probability-based analytical model for predicting the seismic residual deformation of bilinear single-degreeof-freedom(SDOF)systems with a kinematic/Takeda hysteretic model is proposed based on a statistical analysis of the nonlinear time history response,and the proposed model explicitly incorporates the influence of record-to-record variability.In addition,the influence of primary parameters such as the natural vibration period,relative yield force coefficient,stiffness ratio and peak ground acceleration(PGA)on the seismic residual/maximum deformation ratio(dR/dm)are investigated.The results show that significant dispersion of the dR/dm ratio is observed for SDOF systems under different seismic ground motion records,and the dispersion degree is influenced by the model parameters and record-to-record variability.The statistical distribution of the dR/dm results of SDOF systems can be described by a lognormal distribution.Finally,a case study for seismic residual deformation and reparability assessment of the bridge structure designed with a single pier is carried out to illustrate the detailed analytical procedure of the probability-based analytical model proposed in this study.Zhang Qin Gong Susu Gong Jinxin Zhang Guanhua Xi Guangheng 2022Earthquake Engineering and Engineering Vibration2022,21,2:1
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