Comparative analysis of volatile constituents between recipe jingfangsan and its single herbs by GC-MS combined with alternative moving window factor analysis method

2009 ◽  
Vol 32 (2) ◽  
pp. 258-266 ◽  
Author(s):  
Xiao-Ru Li ◽  
Yi-Zeng Liang ◽  
Tao Zhou ◽  
Liang-Xiao Zhang ◽  
Chun-Di Hu
Keyword(s):  
Factor Analysis ◽  
Comparative Analysis ◽  
Moving Window ◽  
Analysis Method ◽  
Volatile Constituents ◽  
Window Factor Analysis

Quantification of target components in complex mixtures using alternative moving window factor analysis and two-step iterative constraint method

Talanta ◽  
2008 ◽  
Vol 74 (5) ◽  
pp. 1568-1578 ◽  
Author(s):  
Zhong-Da Zeng ◽  
Yi-Zeng Liang ◽  
Zhi-Hong Jiang ◽  
Foo-Tim Chau ◽  
Jing-Rong Wang
Keyword(s):  
Factor Analysis ◽  
Complex Mixtures ◽  
Moving Window ◽  
Window Factor Analysis ◽  
Constraint Method

Sectional moving window factor analysis for diagnosing elution chromatographic patterns

2003 ◽  
Vol 69 (1-2) ◽  
pp. 89-101 ◽  
Author(s):  
Zhong-Da Zeng ◽  
Cheng-Jian Xu ◽  
Yi-Zeng Liang ◽  
Bo-Yan Li
Keyword(s):  
Factor Analysis ◽  
Moving Window ◽  
Window Factor Analysis

Alternative moving window factor analysis for comparison analysis between complex chromatographic data

2006 ◽  
Vol 1107 (1-2) ◽  
pp. 273-285 ◽  
Author(s):  
Zhong-Da Zeng ◽  
Yi-Zeng Liang ◽  
Ya-Li Wang ◽  
Xiao-Ru Li ◽  
Lu-Ming Liang ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Moving Window ◽  
Comparison Analysis ◽  
Chromatographic Data ◽  
Window Factor Analysis

scholarly journals Factor Cluster Analysis of Qingdao Port Logistics Competitiveness

Logistics ◽  
2020 ◽  
Vol 4 (4) ◽  
pp. 26
Author(s):  
Wei Xu ◽  
Xiaohan Gong
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Comparative Analysis ◽  
Two Dimensions ◽  
Analysis Method ◽  
Clustering Method ◽  
Logistics Industry ◽  
Development Level ◽  
Port Logistics ◽  
Equivalence Relationship

In order to make clear the positioning of the port logistics competitiveness of Qingdao Port among the major coastal ports in China, recognize the development level and shortcomings of its own port, and promote the enhancement of its own port logistics competitiveness, this paper uses the factor analysis method and fuzzy equivalence relationship clustering method to select 17 evaluation indicators from the two dimensions at the port hardware level and software level, respectively. Based on the relevant index data of nine major coastal ports in China including Qingdao Port from 2019, this paper makes a comparative analysis on the competitiveness of Qingdao Port in major coastal port groups in China. The results reflect the differences in the competitiveness of port logistics, and find the weaknesses of Qingdao Port in the strength of the port logistics industry, port transport conditions, etc., so as to improve and enhance the competitiveness of port logistics, such as increasing the proportion of port fixed investment, and speeding up the adjustment of transport structure.

Analysis method ofrecruitment needs for the regional economy: Occupational section

2017 ◽  
pp. 142-149 ◽  
Author(s):  
E. Pitukhin ◽  
S. Shabaeva ◽  
I. Stepus ◽  
D. Moroz
Keyword(s):  
Cluster Analysis ◽  
Labor Market ◽  
Comparative Analysis ◽  
Regional Economy ◽  
Dimensional Space ◽  
Analysis Method ◽  
Scalar Form ◽  
Regional Labor Market ◽  
Regional Labor ◽  
Regional Specificity

The paper deals with comparative analysis of occupations in the regional labor market. Occupation is treated as a multi-dimensional space of characte- ristics, whereas a scalar form of a characteristic makes it possible to carry out a comparative analysis of occupations. Using cluster analysis of a pilot region indicators five meaningfully interpretable clusters of occupations were identified, reflecting their regional specificity.

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