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Evaluating the bond strength of FRP in concrete samples using machine learning methods
Juncheng Gao,Mohammadreza Koopialipoor,Danial Jahed Armaghani,Aria Ghabussi,Shahrizan Baharom,Armin Morasaei,Ali Shariati,Majid Khorami,Jian Zhou 국제구조공학회 2020 Smart Structures and Systems, An International Jou Vol.26 No.4
In recent years, the use of Fiber Reinforced Polymers (FRPs) as one of the most common ways to increase the strength of concrete samples, has been introduced. Evaluation of the final strength of these specimens is performed with different experimental methods. In this research, due to the variety of models, the low accuracy and impact of different parameters, the use of new intelligence methods is considered. Therefore, using artificial intelligent-based models, a new solution for evaluating the bond strength of FRP is presented in this paper. 150 experimental samples were collected from previous studies, and then two new hybrid models of Imperialist Competitive Algorithm (ICA)-Artificial Neural Network (ANN) and Artificial Bee Colony (ABC)-ANN were developed. These models were evaluated using different performance indices and then, a comparison was made between the developed models. The results showed that the ICA-ANN model's ability to predict the bond strength of FRP is higher than the ABC-ANN model. Finally, to demonstrate the capabilities of this new model, a comparison was made between the five experimental models and the results were presented for all data. This comparison showed that the new model could offer better performance. It is concluded that the proposed hybrid models can be utilized in the field of this study as a suitable substitute for empirical models.
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Effects of SiC content on microstructure and properties of carbon/ceramic conductive composites
Xiao Gao,Xin Zheng,Jie Gao,Juncheng Liu,Jiahai BAI,Guoliang Yuan 한양대학교 세라믹연구소 2016 Journal of Ceramic Processing Research Vol.17 No.12
The effects of SiC content on the phase composition, microstructure, sintering performance, mechanical and electricalproperties of the carbon/ceramic conductive composites were investigated. The results show that when SiC content increasesfrom 1 wt% to 3 wt%, lamellar graphite structure can be seen in the microstructure of the composites, and the porosity andwater absorption increases gradually. With further increase of SiC content to 6 wt% and 9 wt%, lamellar graphite disappears,and granular SiC crystals fill in the ceramic phase, thus increasing the densification degree of the composites. When SiCcontent is in the range of 1 wt% to 3 wt%, the shrinkage rate decreases sharply while the weight loss decreases a little. As SiCcontent increases from 3 wt% to 9 wt%, both the shrinkage rate and weight loss basically keep unchanged. With the increaseof SiC content, the bending strength of the composites first decreases and then increases, and finally reaches the peak value at9 wt% SiC. However, the resistivity presents an opposite variation trend, and the conductivity is best as SiC content is 9 wt%.
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JunCheng Guo,YiJun Yang,Min Guo,XiaoDan Wang,Yang Juan,YunSuo Gao,LinQiu Fu,XiangLing Jiang,LinMei Fu,Tao Huang 대한신경정신의학회 2018 PSYCHIATRY INVESTIGATION Vol.15 No.4
Objective-To investigate the correlations of four genetic single nucleotide polymorphisms (SNPs) of brain-derived neurotrophic factor (BDNF) with posttraumatic stress disorder (PTSD). Methods-A total of 300 patients with sporadic PTSD and 150 healthy subjects (the control group) were selected according to the diagnostic criteria of PTSD (DSM-IV), and the genotypes of the BDNF SNPs G-712A, C270T, rs6265, and rs7103411 were detected by polymerase chain reaction and direct DNA sequencing to determine intergroup differences in the genotypes and allele frequencies; the pvalues were corrected with the permutation test. Results-The genotypes and allele frequencies of the SNPs G-712A, rs6265, and rs7103411 of BDNF showed no significant intergroup differences (p>0.05). However, the genotype and allele frequencies of C270T showed significant differences between the PTSD group and the control group (p<0.05). Conclusion-The SNP C270T of BDNF may be associated with PTSD. Individuals carrying the polymorphic T allele of C270T may be more likely to suffer from PTSD.
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Hong Jiang,Pengfei Gao,Huadong Chen,Zhihai Zhong,Man Shu,Zhichong Zhang,Jinbiao She,Juncheng Liu 대한의학회 2018 Journal of Korean medical science Vol.33 No.30
Background: Postoperative cholangitis is a common but severe complication after Kasai portoenterostomy for biliary atresia (BA). This study aimed to identify its prognostic factors Methods: Two sets of liver paraffin-embedded tissue samples were collected from BA patients who received Kasai portoenterostomy (n = 25 and n = 31, respectively). Patients were divided into non-cholangitis and cholangitis groups. The infiltration of CD4+ , CD8+ , CD45RO+ , CD68+ cells and expression of Beclin1 were quantitatively evaluated in immunohistochemical analysis. Results: Cholangitis group had a significantly lower CD8+ T cell infiltration but a higher CD45RO+ cell infiltration, and a lower Beclin1 level than non-cholangitis group (all P < 0.01). Multivariate logistic regression analysis indicated that infiltration of CD8+ cells (odds ratio [OR], 0.112; 95% confidence interval [CI], 0.022–0.577) and CD45RO+ cells (OR, 3.88; 95% CI, 1.37–11.03), and Beclin1 level (OR, 0.088; 95% CI, 0.018–0.452) were independent influence factors for early postoperative cholangitis. Receiver operating characteristic (ROC) analysis showed that area under ROC curve (AUROC) values for CD8+ cells, CD45RO+ cells and Beclin1 were 0.857, 0.738 and 0.900, respectively. Conclusion: Our findings demonstrated the CD8+ cells, CD45RO+ cells and Beclin1 level possessed the prognostic value for early postoperative cholangitis following Kasai operation, which may be helpful to develop new prevention and treatment strategies for postoperative cholangitis.
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