http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Cubic normal distribution and its significance in structural reliability
Yan-Gang Zhao,Zhao-Hui Lu 국제구조공학회 2008 Structural Engineering and Mechanics, An Int'l Jou Vol.28 No.3
Information on the distribution of the basic random variable is essential for the accurate analysis of structural reliability. The usual method for determining the distributions is to fit a candidate distribution to the histogram of available statistical data of the variable and perform approximate goodness-of-fit tests. Generally, such candidate distribution would have parameters that may be evaluated from the statistical moments of the statistical data. In the present paper, a cubic normal distribution, whose parameters are determined using the first four moments of available sample data, is investigated. A parameter table based on the first four moments, which simplifies parameter estimation, is given. The simplicity, generality, flexibility and advantages of this distribution in statistical data analysis and its significance in structural reliability evaluation are discussed. Numerical examples are presented to demonstrate these advantages.
A Novel Bi-directional Promoter Cloned from Melon and Its Activity in Cucumber and Tobacco
( Cui Yan Wang ),( Dong Feng Ding ),( Rui Xiang Yan ),( Xiao Ju Yu ),( Wei Dong Li ),( Ming Gang Li ) 한국식물학회 2008 Journal of Plant Biology Vol.51 No.2
A bi-directional promoter, DP, was cloned by PCR amplification using the genomic DNA of melon as template. Analysis of its cis-acting elements in both directions revealed a series of inducible regulatory elements and some enhancer elements. To evaluate its transcriptional activity, DP in both directions was then cloned into vector pBI121 to replace the CaMV 35S promoter. DP in both directions also was inserted downstream of CaMV 35S to investigate whether the double promoter might affect expression of the uidA reporter gene at higher levels. Transient expression in cucumber leaves, stems, and fruits as well as in tobacco leaves and stems showed that DP in both directions drove transcription to much higher levels than did the single promoter CaMV 35S. However, activity of the double promoter was lower than the corresponding activity of the single promoter DP in both directions. These results demonstrate that DP is a natural bi-directional promoter, with much more activity than is found with the CaMV 35S promoter. Furthermore, in cucumber and tobacco, it is not suitable to insert DP in either direction downstream of the CaMV 35S promoter to form a double promoter.
Hybrid Patterns Recognition of Control Chart Based on WA-PCA-PSO-SVM
Liu Yan-zhong,Zhang Hong-lie,Liu Yan-ju,Jiang Jin-gang 보안공학연구지원센터 2014 International Journal of Control and Automation Vol.7 No.10
Based on the analysis of the defect of traditional model, this paper proposes a new control chart pattern recognition model, which includes Wavelet Analysis (WA), Principal Component Analysis (PCA), Particle Swarm Optimization (PSO) and Support Vector Machine (SVM). WA is good to eliminate noise control chart anomaly pattern recognition of the adverse effect. PCA eliminates the redundant information of data between SVM and reduces the input dimension and computational complexity. PSO algorithm optimizes the parameters of SVM and the establishment of the optimal control chart anomaly pattern classifier can solve the problem optimal parameters of SVM. The simulation results show that the model is feasible, the results are reliable. This algorithm improves the control chart abnormal state average recognition accuracy and be used in the machining process real-time monitoring.
Liu Yan-ju,Jiang Jin-gang,Miao Feng-juan,Tao Bai-rui,Zhang Hong-lie 보안공학연구지원센터 2014 International Journal of Grid and Distributed Comp Vol.7 No.5
This paper presents a fuzzy normal estimate for mass point clouds of irregular models in reconstruction. The irregular model is complex object that some part is smooth and some parts are irregular including sharp features. Therefore, we put kNN and curvature of mass point clouds to fuzzy inference system to divide the kind of point clouds and the output of FIS can determine which part of tooth point clouds belong to. For different kinds point clouds, corresponding algorithm is given. Point clouds in the smooth area are estimated normal by PCA directly and ones in other regions of thin or sharp area are estimated by checker and attach points. This method is simpler than those complex methods used on the whole point clouds directly. The experiment results show that much time is saved and surface reconstruction is very fine than PCA and WLOP.
Ifosfamide-containing Regimens for Treating Patients with Osteosarcomas
Li, Yan-Yan,Jiang, Xiao-Ming,Dong, Yi-Guo,Xu, Gang,Ma, Yu-Bo Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.22
Background: This systemic analysis was conducted to evaluate the efficacy and safety of an ifosfamide-containing regimen in treating patients with osteosarcoma. Methods: Clinical studies evaluating the efficacy and safety of Ifosfamide-containing regimen on response and safety for patients with osteosarcoma were identified by using a predefined search strategy. Pooled response rate (RR) of treatment were calculated. Results: When ifosfamide-containing regimens were evaluated, 4 clinical studies which including 134 patients with osteosarcoma were considered eligible for inclusion. Systemic analysis suggested that, in all patients, pooled RR was 44.8% (60/134) in ifosfamide-containing regimens. Major adverse effects were neutropenia, leukopenia, and fatigue inIfosfamide-containing regimens; No treatment related death occurred in cantharidin combined regimens. Conclusion: This systemic analysis suggests that ifosfamide-containing regimens are associated with good response rate and acceptable toxicity in treating patients with osteosarcoma, but this result should be confirmed by randomized clinical trials.
Xu, Yan-Song,Zhao, Bo,Long, Chen-Yan,Li, Hui,Lu, Xing,Liu, Gang,Tang, Xiao-Zhun,Tang, Wei-Zhong Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.11
Background: To evaluate relationship between the cyclooxygenase-2 promoter 765G/C polymorphism and digestive cancer risk in China. Materials and Methods: A literature search through February 2014 was performed using PubMed, Chinese Biomedical Literature Database (CBM) and China National Knowledge Infrastructure (CNKI) databases, and a meta-analysis was performed with RevMan 5.2 software for odds ratios and 95%CIs. Results: In total, 9 articles with 3,263 cases and 4,858 controls were included in this meta-analysis. The pooled OR (95%CIs) in the co-dominant model (GC vs GG) was 1.56 [1.19, 2.06], and in the dominant model ((CC+GC) vs GG), the pooled OR was 1.59 [1.21, 2.09] in overall cancers. In the subgroup analysis, stratified by cancer type, significant associations were found that the-765C allele had increased pancreatic cancer and gastric risk. No significant liver cancer and colorectal cancer risk of COX-2 -765G/C polymorphism was found. Conclusions: These findings suggest that COX-2-765*C is related to cancer susceptibility and may increase gastric and pancreatic cancer risk.
Cubic normal distribution and its significance in structural reliability
Zhao, Yan-Gang,Lu, Zhao-Hui Techno-Press 2008 Structural Engineering and Mechanics, An Int'l Jou Vol.28 No.3
Information on the distribution of the basic random variable is essential for the accurate analysis of structural reliability. The usual method for determining the distributions is to fit a candidate distribution to the histogram of available statistical data of the variable and perform approximate goodness-of-fit tests. Generally, such candidate distribution would have parameters that may be evaluated from the statistical moments of the statistical data. In the present paper, a cubic normal distribution, whose parameters are determined using the first four moments of available sample data, is investigated. A parameter table based on the first four moments, which simplifies parameter estimation, is given. The simplicity, generality, flexibility and advantages of this distribution in statistical data analysis and its significance in structural reliability evaluation are discussed. Numerical examples are presented to demonstrate these advantages.