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Yan-Min Xie,Wei Tang,Fei Zhang,Bei-Bei Pan,Yaopeng Yue,Meiqiang Feng 한국정밀공학회 2019 International Journal of Precision Engineering and Vol.20 No.2
Variable blank holder force (VBHF) is an important process parameter in sheet metal forming. The purpose of this study is to propose a sharing niching radial basis function (SNRBF) neural network for VBHF optimization. Two methods are put forward to improve the prediction accuracy of a RBF neural network. (1) A RBF neural network is trained by a sharing niching technique to achieve global optimal nodes. (2) In Latin hypercube design, Spearman correlation analysis is employed to decrease sample correlation. In addition, in order to improve the performance of the non-dominated sorting genetic algorithm (NSGA-II), excellent individuals in each class of non-dominated individuals are selected by employing immune operators. Based on the Spearman correlation analysis and the Latin hypercube method, training samples are generated and numerical simulations are performed for a double C part. The surrogate models between VBHF and forming quality are constructed by a SNRBF neural network. The Pareto frontier solutions are achieved by employing the improved NSGA-II algorithm. Grey relational analysis is applied to determine the optimal VBHF loading trajectory. The results show decreased wrinkles in the optimized forming part and greater uniformity in the plastic deformation by employing the optimized VBHF, thereby leading to improvement in the forming quality of the double C.
Yan-Min Xie,Ren-Yong Huang,Wei Tang,Bei-Bei Pan,Fei Zhang 한국정밀공학회 2018 International Journal of Precision Engineering and Vol.19 No.4
Investigation on twist springback is important to improve the accuracy of forming parts. In this paper, a double C rail made of transformation induced plasticity 780 (TRIP 780) steel is designed, and the stamping and twist springback are simulated with ABAQUS based on three different hardening models (including Ziegler, Johnson-Cook and combined hardening models). A new index for calculating the twist springback is proposed, which is based on the angle between two end section lines of the double C rail. The experimental results of twist springback are compared with the calculation results from three different hardening models. The calculation results based on combined hardening model are the closest to the experiment data. In order to compensate twist springback, a curved surface die is designed based on the geometric shape of the double C rail after twist springback. The stamping and twist springback are simulated based on the curved surface die and combined hardening model, and the twist springback is decreased obviously after compensation, which shows that the compensation of twist springback is effective.
An Efficient Parallel Infilling Strategy and Its Application in Sheet Metal Forming
Yan-Min Xie,Yuan-Heng Guo,Fei Zhang,Yue-Peng Yue,Mei-Qiang Feng,Jiang-Bo Zhao 한국정밀공학회 2020 International Journal of Precision Engineering and Vol.21 No.8
Infilling strategies play an important role in kriging based optimization, especially when computationally expensive simulations are involved. In order to improve the efficiency of constructing a high-precision kriging model, an improved expected improvement criterion (IEI) and a parallel infilling strategy are proposed based on the maximum expected improvement (EI) criterion. In the proposed parallel infilling strategy, new sample points are generated by employing IEI criterion coupled with EI criterion. During the improved sampling process, redundant and pseudo sample are deleted in order to avoid failure of constructing a kriging model. An improved weighted particle swarm optimization (WPSO) algorithm is proposed to improve optimization efficiency. The proposed parallel infilling strategy is applied to nonlinear function optimization and variable blank holder force (VBHF) optimization in a double-c stamped part. Based on the LHD and software DYNAFORM, kriging models between the VBHF and forming quality are constructed. Compared with the initial kriging models, the meat relative error of kriging models with the proposed parallel infilling strategy for the wrinkling and average thinning rate are reduced by 95% and 55%, respectively. The optimal VBHF is obtained by the WPSO. The results show that, cracking has been completely eliminated and wrinkling has been decreased, greatly improving the forming quality of the double-c stamped part.
( Lin Zhou ),( Yan Zhong ),( Fang Hui Yang ),( Zi Bo Li ),( Jiang Zhou ),( Xie Hong Liu ),( Min Li ),( Fang Hu ) 생화학분자생물학회(구 한국생화학분자생물학회) 2016 BMB Reports Vol.49 No.3
Kaiso is a Pox Virus and Zinc Finger (POZ-ZF) transcription factor with bi-modal DNA-binding specificity. Here, we demonstrated that Kaiso expression is inversely correlated with glucocorticoid receptor (GR) expression in breast carcinomas. Knockdown of Kaiso increased GR expression, while overexpression of Kaiso inhibited GR expression in breast cancer cells. Furthermore, Kaiso repressed GR proximal promoter-reporter activity in a dose-dependent manner. Remarkably, ChIP experiments demonstrated that endogenous Kaiso was associated with the GR promoter sequence in a methylation-dependent manner. Since glucocorticoids inhibit chemotherapyinduced apoptosis and have been widely used as a co-treatment of patients with breast cancer, we assessed the role of Kasio in GR-mediated anti-apoptotic effects. We found that overexpression of Kaiso attenuated the anti-apoptotic effects of glucocorticoids in breast cancer cells. Our findings suggest that GR is a putative target gene of Kaiso and suggest Kaiso to be a potential therapeutic target in GC-combination chemotherapy in breast cancer. [BMB Reports 2016; 49(3): 167-172]
A Generalized Hidden Markov Model and Its Applications in Recognition of Cutting States
Feng-Yun Xie,You-Min Hu,Bo Wu,Yan Wang 한국정밀공학회 2016 International Journal of Precision Engineering and Vol.17 No.11
In the traditional hidden Markov model (HMM) for statistical learning and classification, aleatory uncertainty because of randomness and epistemic uncertainty that is due to the lack of knowledge are not differentiated. In this paper, a generalized hidden Markov model (GHMM) in the context of generalized interval probability theory is proposed. The parameters of GHMM are in the form of generalized interval probability, which provides a concise representation for the two kinds of uncertainty simultaneously. The generalized versions of the forward-backward, Viterbi, and Baum-Welch algorithms in GHMM are developed. The proposed algorithms take advantage of the algebraic property in the generalized interval probability. These algorithms provide an efficient approach to train the GHMM. The trained GHMM is used for state recognition with the criterion of maximum log-likelihood. A case study on recognizing the cutting states in manufacturing processes is provided to demonstrate the application of GHMM. The interval forms of the cutting signal are considered as the inputting of GHMM. The cutting states are recognized based on the learning algorithm of GHMM. With the two uncertainty components quantified, the reliability of GHMM in state recognition is superior to that of HMM.
Zhi Yuan Fu,Hui Ling Xie,Jian Sheng Li,Yan Min Hu,Zong Hua Liu,Zhong You He,Ji Hua Tang 한국유전학회 2008 Genes & Genomics Vol.30 No.6
Thermo-sensitive genic male sterile (TGMS) lines can provide new options for hybrid seed production using "two-line" system. A set of F2 and BC1 populations derived from the cross between Qiong-6ms and Dan958 were employed to analyze the inheritance of a TGMS line Qiong-6ms and map the TGMS genes in maize. The results demonstrated that the sterility of Qiong-6ms was governed by two duplicative recessive genes, named tms1 and tms2. The gene tms1 was mapped to chromosome 5 linked with the SSR markers umc1355, umc2302 and umc1784 at a distance of 3.0 cM, 1.3 cM and 0.9 cM respectively; while tms2 was localized on chromosome 3, linked with SSR markers bnlg1605 (0.5 cM) and umc2050 (4.2 cM). These markers, which are tightly linked with the tms1 and tms2 genes, will be helpful for marker assisted selection of TGMS lines in maize.
Xiaolei Qiu,Wenwen Xu,Rongrong Zhang,Wei Yan,Wenying Ma,Shiping Xie,Min Zhou 대한신경정신의학회 2021 PSYCHIATRY INVESTIGATION Vol.18 No.8
Objective Resting state functional magnetic resonance imaging (rsfMRI) provides a lot of evidence for local abnormal brain activity in schizophrenia, but the results are not consistent. Our aim is to find out the consistent abnormal brain regions of the patients with schizophrenia by using regional homogeneity (ReHo), and indirectly understand the degree of brain damage of the patients with drug-naive first episode schizophrenia (Dn-FES) and chronic schizophrenia. Methods We performed the experiment by activation likelihood estimation (ALE) software to analysis the differences between people with schizophrenia group (all schizophrenia group and chronic schizophrenia group) and healthy controls. Results Thirteen functional imaging studies were included in quantitative meta-analysis. All schizophrenia group showed decreased ReHo in bilateral precentral gyrus (PreCG) and left middle occipital gyrus (MOG), and increased ReHo in bilateral superior frontal gyrus (SFG) and right insula. Chronic schizophrenia group showed decreased ReHo in bilateral MOG, right fusiform gyrus, left PreCG, left cerebellum, right precuneus, left medial frontal gyrus and left anterior cingulate cortex (ACC). No significant increased brain areas were found in patients with chronic schizophrenia. Conclusion Our findings suggest that patients with chronic schizophrenia have more extensive brain damage than FES, which may contribute to our understanding of the progressive pathophysiology of schizophrenia.
Du, Ze-Peng,Wu, Bing-Li,Xie, Jian-Jun,Lin, Xuan-Hao,Qiu, Xiao-Yang,Zhan, Xiao-Fen,Wang, Shao-Hong,Shen, Jin-Hui,Li, En-Min,Xu, Li-Yan Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.13
Fascin-1 (FSCN1) is an actin-bundling protein that induces cell membrane protrusions, increases cell motility, and is overexpressed in various human epithelial cancers, including esophageal squamous cell carcinoma (ESCC). We analyzed various protein-protein interactions (PPI) of differentially-expressed genes (DEGs), in fascin knockdown ESCC cells, to explore the role of fascin overexpression. The node-degree distributions indicated these PPI sub-networks to be characterized as scale-free. Subcellular localization analysis revealed DEGs to interact with other proteins directly or indirectly, distributed in multiple layers of extracellular membrane-cytoskeleton/ cytoplasm-nucleus. The functional annotation map revealed hundreds of significant gene ontology (GO) terms, especially those associated with cytoskeleton organization of FSCN1. The Random Walk with Restart algorithm was applied to identify the prioritizations of these DEGs when considering their relationship with FSCN1. These analyses based on PPI network have greatly expanded our comprehension of the mRNA expression profile following fascin knockdown to future examine the roles and mechanisms of fascin action.
Identification and Mapping of a Thermo-Sensitive Genic Self-Incompatibility Gene in Maize
Xin Ge Lin,Hui Ling Xie,Zhang Ying Xi,Yan Min Hu,Guang Yuan Zhao,Liu Jing Duan,Zong You Hao,Zong Hua Liu,Ji Hua Tang 한국유전학회 2009 Genes & Genomics Vol.31 No.3
In this study, we describe a novel ecological self-incompatibility (SI) line HE97 in maize. The main environmental factors influencing the inbred line characteristics were identified through field sowing trials during a two-year study period (2001 and 2002). The results showed that daily minimum temperature had the greatest effect on floral morphology and breeding system of the SI line. In staminate floret differentiation, when the daily minimum temperature exceeded 24℃, the line exhibited complete self-compatibility; however SI was observed when the daily minimum temperature was below 20℃. Therefore, we characterized the line as exhibiting thermo-sensitive genic self-incompatibility (TGSI). A set of F2 and F2:3 populations, derived from the inbred lines HE97 and Z58, were evaluated for two years to elucidate the TGSI line patterns of inheritance. Classical genetic analyses and QTL mapping results revealed that HE97 self-incompatibility was governed by a single allele, named here as tgsi1. The tgsi1 gene was mapped to chromosome 2 between SSR markers nc131 and bnlg1633, with a distance of 2.40 cM from nc131 and 2.44 cM from bnlg1633.