Structural damage identification based on genetically trained ANNs in beams

Li Peng-hui,Zhu Hong-ping,Luo Hui,Weng Shun 국제구조공학회 2015 Smart Structures and Systems, An International Jou Vol.15 No.1

This study develops a two stage procedure to identify the structural damage based on the optimized artificial neural networks. Initially, the modal strain energy index (MSEI) is established to extract the damaged elements and to reduce the computational time. Then the genetic algorithm (GA) and artificial neural networks (ANNs) are combined to detect the damage severity. The input of the network is modal strain energy index and the output is the flexural stiffness of the beam elements. The principal component analysis (PCA) is utilized to reduce the input variants of the neural network. By using the genetic algorithm to optimize the parameters, the ANNs can significantly improve the accuracy and convergence of the damage identification. The influence of noise on damage identification results is also studied. The simulation and experiment on beam structures shows that the adaptive parameter selection neural network can identify the damage location and severity of beam structures with high accuracy.

Isolation of an Isocarbophos-Degrading Strain of Arthrobacter sp. Scl-2 and Identification of the Degradation Pathway

Rong Li,Xin Qiang Guo,Kai Chen,Jian Chun Zhu,Shun Peng Li,Jian Dong Jiang 한국미생물 · 생명공학회 2009 Journal of microbiology and biotechnology Vol.19 No.11

Microbial Communities in Semi-consolidated Carbonate Sediments of the Southwest Indian Ridge

Jiwei Li,Xiaotong Peng,Huaiyang Zhou,Jiangtao Li,Zhilei Sun,Shun Chen 한국미생물학회 2014 The journal of microbiology Vol.52 No.2

White semi-consolidated carbonate sediments attached toblack ferromanganese oxide films were collected approximately50 km west of a newly discovered hydrothermal fieldnear the Southwest Indian Ridge (SWIR). The biodiversity ofthe prokaryotic communities within the field was examinedusing clone library-based culture-independent analysis ofthe exterior black oxides and the interior white carbonates. Subsequent 16S rRNA gene analysis suggested that Gammaproteobacteria,Acidobacteria, and Thaumarchaeota membersdominated the bacterial and archaeal clone libraries. To further characterize the metabolic processes within themicrobial community, analyses of the amoA (coding the alphasubunit of the ammonia monooxygenase for Archaea)and aprA (coding the alpha subunit of the dissimilatory adenosine-5 -phosphosulfate reductase for the sulfate-reducingand sulfur-oxidizing prokaryotes) functional genes wereconducted. The functional gene analysis results suggestedthat Thaumarchaeota and Alphaproteobacteria memberswere the potential players that participated in N and S cyclesin this marine carbonate sedimentary environment. Thispaper is the first to describe the microbial communities andtheir potential metabolic pathways within the semi-consolidatedcarbonate sediments of the SWIR.

Application of Subway Foundation Pit Engineering Risk Assessment:A case study of Qingdao Rock Area, China

Yuan-shun Shen,Peng Wang,Mei-ping Li,Qi-wen Mei 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.11

The foundation pit construction risk of subway stations is affected by various uncertain factors, which cannot be analyzed quantitatively by current methods. A synthetic evaluation index system for foundation pit construction risk of subway stations is established by analyzing the factors that influence subway station construction. Based on the hierarchy of these factors, a model of three-stage fuzzy synthetic evaluation is proposed, an analytic hierarchy process is used to determine the weight of each stage factor, the fuzzy sets method is used to determine the membership function, and risk ranking is carried out. The proposed method is applied to a subway station construction of the Qingdao Subway Line No. 3 Project. The simulation results show that the method is reasonable and that it should be practical and helpful for other similar projects.

A Bayesian optimal design for degradation tests based on the inverse Gaussian process

Weiwen Peng,Yu Liu,Yanfeng Li,Shun-Peng Zhu,Hong-Zhong Huang 대한기계학회 2014 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.28 No.10

The inverse Gaussian process is recently introduced as an attractive and flexible stochastic process for degradation modeling. This processhas been demonstrated as a valuable complement for models that are developed on the basis of the Wiener and gamma processes. We investigate the optimal design of the degradation tests on the basis of the inverse Gaussian process. In addition to an optimal designwith pre-estimated planning values of model parameters, we also address the issue of uncertainty in the planning values by using theBayesian method. An average pre-posterior variance of reliability is used as the optimization criterion. A trade-off between sample sizeand number of degradation observations is investigated in the degradation test planning. The effects of priors on the optimal designs andon the value of prior information are also investigated and quantified. The degradation test planning of a GaAs Laser device is performedto demonstrate the proposed method.

Hepatic Resection Provides Survival Benefit for Selected Intermediate-Stage (BCLC-B) Hepatocellular Carcinoma Patients

Zhang Zhaohui,Shen Shunli,Chen Bin,Li Shaoqiang,Hua Yunpeng,Kuang Ming,Liang Lijian,Peng Bao Gang 대한암학회 2019 Cancer Research and Treatment Vol.51 No.1

Purpose The intermediate stage of hepatocellular carcinoma (HCC) (Barcelona Clinic Liver Cancer [BCLC] B) comprises a highly heterogeneous population, and the treatment strategy is still controversial. Because of the heterogeneity, a subclassification of intermediate-stage HCCs was put forward by Bolondi according to the ‘beyond Milan and within up-to-7’ criteria and Child-Pugh score. In this study, we aim to analyze the prognosis of BCLC-B stage HCC patients who received hepatic resection according to the Bolondi’s subclassification. Materials and Methods One thousand and one hundred three patients diagnosed with HCC and treated with hepatic resection were enrolled in our hospital between 2006 and 2012. According to Bolondi’s subclassification, the BCLC-B patients were divided into four groups. Recurrence-free survival (RFS) and overall survival (OS) were analyzed. Results According to Bolondi’s subclassification, the BCLC-B patients were divided into four groups: B1 (n=41, 18.7%), B2 (n=160, 73.1%), B3 (n=11, 5.0%), and B4 (n=7, 3.2%). Significant difference was observed between B1 and other groups (B1 vs. B2, p=0.022; B1 vs. B3, p < 0.001; B1 vs. B4, p < 0.001), but no difference for B2 vs. B4 (p=0.542) and B3 vs. B4 (p=0.542). In addition, no significant differences were observed between BCLC-A and BCLCB1 group for both RFS (p=0.087) and OS (p=0.643). In multivariate analysis, BCLC-B subclassification was not a risk factor for both OS (p=0.263) and RFS (p=0.892). Conclusion In our study, HCC patients at B1 stage were benefited from hepatic resection and had similar survival to BCLC-A stage patients. Our study provided rationality of hepatic resection for selected BCLC-B stage HCC patients instead of routine transarterial chemoembolization.

Prognostic Evaluation of Categorical Platelet-based Indices Using Clustering Methods Based on the Monte Carlo Comparison for Hepatocellular Carcinoma

Guo, Pi,Shen, Shun-Li,Zhang, Qin,Zeng, Fang-Fang,Zhang, Wang-Jian,Hu, Xiao-Min,Zhang, Ding-Mei,Peng, Bao-Gang,Hao, Yuan-Tao Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.14

Objectives: To evaluate the performance of clustering methods used in the prognostic assessment of categorical clinical data for hepatocellular carcinoma (HCC) patients in China, and establish a predictable prognostic nomogram for clinical decisions. Materials and Methods: A total of 332 newly diagnosed HCC patients treated with hepatic resection during 2006-2009 were enrolled. Patients were regularly followed up at outpatient clinics. Clustering methods including the Average linkage, k-modes, fuzzy k-modes, PAM, CLARA, protocluster, and ROCK were compared by Monte Carlo simulation, and the optimal method was applied to investigate the clustering pattern of the indices including platelet count, platelet/lymphocyte ratio (PLR) and serum aspartate aminotransferase activity/platelet count ratio index (APRI). Then the clustering variable, age group, tumor size, number of tumor and vascular invasion were studied in a multivariable Cox regression model. A prognostic nomogram was constructed for clinical decisions. Results: The ROCK was best in both the overlapping and non-overlapping cases performed to assess the prognostic value of platelet-based indices. Patients with categorical platelet-based indices significantly split across two clusters, and those with high values, had a high risk of HCC recurrence (hazard ratio [HR] 1.42, 95% CI 1.09-1.86; p<0.01). Tumor size, number of tumor and blood vessel invasion were also associated with high risk of HCC recurrence (all p< 0.01). The nomogram well predicted HCC patient survival at 3 and 5 years. Conclusions: A cluster of platelet-based indices combined with other clinical covariates could be used for prognosis evaluation in HCC.

Construction of a Transposon-mediated Baculovirus Vector Hanpvid and a New Cell Line for Expressing Barnase

Qin, Qin,Liu, Ying-Le,Zhu, Ying,Li, Shun-Yi,Qi, Yi-Peng Korean Society for Biochemistry and Molecular Biol 2005 Journal of biochemistry and molecular biology Vol.38 No.1

In this study we developed the transposon-mediated shuttle vector 'Hanpvid', which composed of HaNPV (Heliothis armigera nuclear polyhedrosis virus) genomic DNA and a transposon cassette from Bacmid of Bac-to-Bac system. Hanpvid replicates in E. coli in the same way as Bacmid and retains infective function in cotton bollworm cells (Hz-AM1). Using Hanpvid we constructed a recombinant virus, which could infect Hz-AM1 cells and generate recombinant HaNPV (rHa-Bar) containing the barnase gene, a ribonuclease gene from Bacillus amyloliquefaciens. Since the expression vector carrying barnase gene cannot replicate in the absence of barstar, a specific inhibitor of barnase, we constructed a new cotton bollworm cell line (AM1-NB) using the marker rescue method. In AM1-NB barstar was integrated into the cellular chromosome to sustain the replication of rHa-Bar. To screen out recombinant HaNPV for potential use as biopesticide, Hz-AM1 and AM1-NB cell lines were infected with rHa-Bar, respectively. The results obtained indicate that Viral progenies in AM1-NB were 23 and 160 times greater than those in Hz-AM1 48 h and 72 h after infection, respectively. With additional insertion of the polyhedron gene from AcNPV (Autographa californica nuclear polyhedrosis virus) into the Hanpvid genome, rHa-Bar regained the polyhedron phenotype and its pest-killing rate greatly improved. Toxic analysis showed that the lethal dosages ($LD_{50}$) and the lethal time(s) ($LT_{50}$) of rHa-Bar were reduced by 20% and 30%, respectively, compared to wt-HaNPV in the third instar larvae of cotton bollworm. This study shows that in AM1-NB barnase can be effectively produced and used as pest-killing agent for the biological control of cotton pests.

Construction of a Transposon-mediated Baculovirus Vector Hanpvid and a New Cell Line for Expressing Barnase

( Qin Qin ),( Ying Le Liu ),( Ying Zhu ),( Shun Yi Li ),( Yi Peng Qi ) 생화학분자생물학회 2005 BMB Reports Vol.38 No.1

In this study we developed the transposon-mediated shuttle vector `Hanpvid`, which composed of HaNPV (Heliothis armigera nuclear polyhedrosis virus) genomic DNA and a transposon cassette from Bacmid of Bac-to-Bac system. Hanpvid replicates in E. coli in the same way as Bacmid and retains infective function in cotton bollworm cells (Hz-AMU). Using Hanpvid we constructed a recombinant virus, which could infect Hz-AM1 cells and generate recombinant HaNPV (rHa-Bar) containing the barnase gene, a ribonuclease gene from Bacillus amyloliquefaciens. Since the expression vector carrying barnase gene cannot replicate in the absence of barstar, a specific inhibitor of barnase, we constructed a new cotton bollworm cell line (AMl-NB) using the marker rescue method. In AM1-NB barstar was integrated into the cellular chromosome to sustain the replication of rHa-Bar. To screen out recombinant HaNPV for potential use as biopesticide, Hz-AM! and AM1-NB cell lines were infected with rHa-Bar, respectively. The results obtained indicate that Viral progenies in AM1-NB were 23 and 160 times greater than those in Hz-AM1 48 h and 72 h after infection, respectively. With additional insertion of the polyhedron gene from AcNPV (Autographa californica nuclear polyhedrosis virus) into the Hanpvid genome, rHa-Bar regained the polyhedron phenotype and its pest-killing rate greatly improved. Toxic analysis showed that the lethal dosages (LD_(50)) and the lethal time(s) (LT_(50)) of rHa-Bar were reduced by 20% and 30%, respectively, compared to wt-HaNPV in the third instar larvae of cotton bollworm. This study shows that in AM1-NB barnase can be effectively produced and used as pest-killing agent for the biological control of cotton pests.

UHRF2 mRNA Expression is Low in Malignant Glioma but Silencing Inhibits the Growth of U251 Glioma Cells in vitro

Wu, Ting-Feng,Zhang, Wei,Su, Zuo-Peng,Chen, San-Song,Chen, Gui-Lin,Wei, Yong-Xin,Sun, Ting,Xie, Xue-Shun,Li, Bin,Zhou, You-Xin,Du, Zi-Wei Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.10

UHRF2 is a member of the ubiquitin plant homeo domain RING finger family, which has been proven to be frequently up-regulated in colorectal cancer cells and play a role as an oncogene in breast cancer cells. However, the role of UHRF2 in glioma cells remains unclear. In this study, we performed real-time quantitative PCR on 32 pathologically confirmed glioma samples (grade I, 4 cases; grade II, 11 cases; grade III, 10 cases; and grade IV, 7 cases; according to the 2007 WHO classification system) and four glioma cell lines (A172, U251, U373, and U87). The expression of UHRF2 mRNA was significantly lower in the grade III and grade IV groups compared with the noncancerous brain tissue group, whereas its expression was high in A172, U251, and U373 glioma cell lines. An in vitro assay was performed to investigate the functions of UHRF2. Using a lentivirus-based RNA interference (RNAi) approach, we down-regulated UHRF2 expression in the U251 glioma cell line. This down-regulation led to the inhibition of cell proliferation, an increase in cell apoptosis, and a change of cell cycle distribution, in which S stage cells decreased and G2/M stage cells increased. Our results suggest that UHRF2 may be closely related to tumorigenesis and the development of gliomas.