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Cui, Xiao-Bin,Peng, Hao,Li, Su,Li, Ting-Ting,Liu, Chun-Xia,Zhang, Shu-Mao,Jin, Ting-Ting,Hu, Jian-Ming,Jiang, Jin-Fang,Liang, Wei-Hua,Li, Na,Li, Li,Chen, Yun-Zhao,Li, Feng Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.22
Background: A number of studies have identified a shared susceptibility locus in phospholipase C epsilon 1 (PLCE1) for esophageal squamous cell carcinoma (ESCC) and gastric cardia adenocarcinomas (GCA). However, the results of PLCE1 expression in esophageal and gastric cancer remain inconsistent and controversial. Moreover, the effects on clinicopathological features remain undetermined. This study aimed to provide a precise quantification of the association between PLCE1 expression and the risk of ESCC and GCA through meta-analysis. Materials and Methods: Eligible studies were identified from PubMed, Wanfang Data, ISI Web of Science, and the Chinese National Knowledge Infrastructure databases. Using RevMan5.2 software, pooled odds ratios (ORs) with 95% confidence intervals (CIs) were employed to assess the association of PLCE1 expression with clinicopathological features relative to ESCC or GCA. Results: Seven articles were identified, including 761 esophageal and gastric cancer cases and 457 controls. Overall, we determined that PLCE1 expression was associated with tumor progression in both esophageal cancers (pooled OR=5.93; 95%CI=3.86 to 9.11) and gastric cancers (pooled OR=9.73; 95%CI=6.46 to 14.7). Moreover, invasion depth (pooled OR=3.62; 95%CI=2.30 to 5.70) and lymph node metastasis (pooled OR=4.21; 95%CI=2.69 to 6.59) were linked with PLCE1 expression in gastric cancer. However, no significant associations were determined between PLCE1 overexpression and the histologic grade, invasion depth, and lymph node metastasis in esophageal cancer. Conclusions: Our metaanalysis results indicated that upregulated PLCE1 is significantly associated with an increased risk of tumor progression in ESCC and GCA. Therefore, PLCE1 expression can be appropriately regarded as a promising biomarker for ESCC and GCA patients.
A Genetic Heterogeneity of Renpenning Syndrome Mapped to Chromosome Xq21-Xqter
Cui, Bin,Sun, Yuming,Sun, Yuqin,Shi, Yuefeng,Pei, Gang,Kong, Xiangyin,Hu, Landian 한국유전학회 2004 Genes & Genomics Vol.26 No.1
Renpenning sysndrome is an X-linked mental retardation associated with short stature, moderate microcephaly, unremakdable facies, and no other neurological abnormality. Renpenning first reported this disorder in a Mennonite family, and using this family, Renpenning Syndrome (RENS) has been mapped to Xp11.2-p11.4 Xu Cs found a Chinses family with an X-linked hereditary disease, and the clinical phenotype is similar to RENS. Recently, we performed the linkage analysis, and the result has shown ht egenetic heterogeneity of Renpenning Syndrome: a suggestive novel locus mapped to Xq21-Xqter in this Chinese family.
Fracture toughness of Cu and Ni single crystals with a nanocrack
Cui, Cheng Bin,Kim, Seon Do,Beom, Hyeon Gyu Published for the Materials Research Society by th 2015 Journal of materials research Vol.30 No.12
<▼1><B>Abstract</B><P/></▼1><▼2><P>The fracture toughness values of nanosized Cu and Ni single crystals with an edge nanocrack were determined under quasi-static loading conditions. Molecular statics (MS) simulations that can essentially capture the discreteness and the nonlinearity of materials were used in the present study. Different crack lengths were used to evaluate the effects of crack size on the fracture toughness. Based on MS simulations, the energy release rate was calculated using the energies obtained from two models with neighboring crack lengths under the same loading conditions. Furthermore, continuum counterparts of the atomistic models were used to calculate the toughness by the finite element method for linear elastic fracture mechanics (LEFM). The reasons behind the discrepancies between the toughness values obtained using different methods were discussed, and the applicable ranges of the toughness and the LEFM were indicated in terms of the lattice constants.</P></▼2>
Optimization for Real-Time Object Tracking-by-Detection using Deep Neural Network on Embedded System
Cheng-Bin Jin,Mingjie Liu,Bin Yang,Xuenan Cui,Hakil Kim 한국자동차공학회 2018 한국자동차공학회 부문종합 학술대회 Vol.2018 No.6
This paper introduces a real-time object tracking-by-detection system on embedded boards. A backbone network of single-shot multi-box detectors is proposed using network optimizations for processing time and accuracy. In addition to processing time and accuracy, energy efficiency is an important issue in autonomous driving systems. Therefore, a sparse and independent local network architecture is further applied to train convolution filters of the backbone network. The object detector is followed by an online multiple-object tracker that uses multiple information points, including motion predicted by a Kalman filter, intersection over the union, and shape information. In addition, this paper trains the object detector on real and synthetic data generated using generative adversarial networks. This hybrid dataset minimizes the cost of manual annotation. The proposed tracking-by-detection algorithm demonstrates the best performance among real-time models on the KITTI test benchmark and has a reasonable processing time compared to the other models.
Cheng Bin Cui,범현규 대한금속·재료학회 2018 METALS AND MATERIALS International Vol.24 No.1
The intergranular fracture toughness of Cu bicrystals with symmetric tilt grain boundaries was investigated usingatomistic simulations. Mode I fracture of Cu bicrystals with an intergranular crack was considered. The boundaryconditions were specified by the near-tip displacement fields obtained based on linear elastic fracture mechanics(LEFM). Based on the energy interpretation of the energy release rate, a two-specimen method was adopted todetermine the fracture toughness. The simulation results of the fracture toughness matched well with those determinedusing LEFM. In contrast to the toughness obtained using the Griffith energy criterion, the atomistic simulationresults for the same bicrystal were not constants, but dependent on the crack-tip circumstances. Thisbehavior was mainly associated with the different local stress conditions and fracture patterns observed for the differentmodels.
Expression and Clinical Significance of miRNA-34a in Colorectal Cancer
Ma, Zhi-Bin,Kong, Xiao-Lin,Cui, Gang,Ren, Cui-Cui,Zhang, Ying-Jie,Fan, Sheng-Jin,Li, Ying-Hua Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.21
Background: The aim of this study was to investigate differences of miRNA-34a expression in benign and malignant colorectal lesions. Materials and Methods: Samples of cancer, paraneoplastic tissues and polyps were selected and total RNA was extracted by conventional methods for real-time PCR to detect the miRNA-34a expression. In addition, the LOVO colorectal cancer cell line was cultured, treated with the demethylating agent 5-azacytidine and screened for differentially expressed miRNA-34a. Results: After the drug treatment, the miRNA-34a expression of colorectal cancer cell line LOVO was increased and real-time PCR showed that levels of expression in both cell line and colorectal cancer tissues were low, as compared to paraneoplastic tissue (p<0.05). Polyps tissues had significantly higher expression than paraneoplastic and colorectal cancer samples (p<0.05). Conclusions: miRNA-34a-5p may play a role as a tumor suppressor gene in colorectal cancer, with involvement of DNA methylation.
Rayleigh-Quotient and Iterative-Threshold-Test-Based Blind TOA Estimation for IR-UWB Systems
Bin Shen,Chengshi Zhao,Taiping Cui,곽경섭 한국전자통신연구원 2010 ETRI Journal Vol.32 No.2
This letter proposes a non-coherent blind time-of-arrival (TOA) estimation scheme for impulse radio ultra-wideband systems. The TOA estimation is performed in two consecutive phases: the Rayleigh-quotient theorem-based coarse-signal acquisition (CSA) and the iterative-threshold-test-based fine time estimation (FTE). The proposed scheme serves in a blind manner without demanding any a priori knowledge of the channel and the noise. Analysis and simulations demonstrate that the proposed scheme significantly increases the signal detection probability in CSA and ameliorates the TOA estimation accuracy in FTE.