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        Time-Dependent Prediction on the Localized Corrosion of Steel Structure Using Spatial Statistical Simulation

        Shigenobu Kainuma,Muye Yang,Jiajing Xie,Young-Soo Jeong 한국강구조학회 2021 International Journal of Steel Structures Vol.21 No.3

        The structural failure induced by the localized corrosion of steel members frequently occurred. In this study, a spatial statistical technique was developed to predict the time-dependent localized corrosion initiated at the boundary zone of steel and concrete. 20 specimens were prepared by embedding steel plate into concrete block, the accelerated corrosion tests of 600, 1200, 1800, and 2400 cycles were conducted to obtain the actual surface fi guration with uniform and localized corrosion. After performing the regression tree analysis to divide the corrosion surface into localized and uniformed corrosion regions, a semi-variogram was used as the statistical technique to generate the corrosion prediction model, and an ordinary Kriging model to estimate the probable corrosion depth at arbitrary locations. The simulated results show that the probability distribution of corrosion depth and surface topography of both localized and uniform corrosion surfaces are highly consistent with the test. Also, the estimated surfaces owned a similar stress concentration eff ect to the actual surface, although their localized corrosion distributes diff erently. The prediction results of 2400–9600 cycles show that the top fi ve SCF values of simulation almost within the 95% confi dence interval of the fi tting curves of test results. Therefore, the accuracy of the estimated corrosion surface is considered reasonable using the spatial statistical simulation method.

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        Sodium aescinate alleviates bone cancer pain in rats by suppressing microglial activation via p38 MAPK/c-Fos signaling

        Yang Guang,Li Jiajing,Xu Qian,Xie Huilan,Wang Lijun,Zhang Minhao 대한독성 유전단백체 학회 2022 Molecular & cellular toxicology Vol.18 No.4

        Background Bone cancer pain (BCP) severely compromises the life quality of patients with advanced cancer or bone metastases . Objective This study investigates the analgesic effect of sodium aescinate (SA) on BCP, and the underlying mechanisms within the spinal cord (SC) and dorsal root ganglion (DRG). Walker 256 cells were intratibially inoculated into rats to establish a BCP model. 10, 20, and 40 g/L of SA was intrathecally injected, respectively, and then, hyperalgesia and allodynia were evaluated by measuring the paw withdrawal threshold (PWT) and paw withdrawal latency (PWL). The effect of SA on neuroinflammation was observed by detecting the production of the pro-inflammatory cytokines based on RT-qPCR and ELISA. The NF-κB and p38 MAPK/c-Fos signaling was detected by WB analysis. Furthermore, RT-qPCR and WB analyses of Iba-1and CD206 were performed to assess microglial activation. Result The development of hyperalgesia and allodynia, and an increase of pro-inflammatory cytokines production, as well as microglial activation, were observed in the BCP rats. SA (40 g/L) not only relieved the pain-related behaviors induced by BCP but also suppressed the release of pro-inflammatory cytokines and the activation of microglia in the SC and DRG. SA could also inhibit p38 MAPK/c-Fos signaling in both the SC and DRG, which might contribute to the suppression of microglial activation. Conclusion Our findings suggest that SA plays a promising analgesic role in the BCP rats by suppressing infl ammation and microglial activation, and these effects may be associated with the suppression of p38 MAPK/c-Fos signaling.

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