scholarly journals Instrumental and Sensory Analysis of the Properties of Traditional Chinese Fried Fritters

2016 ◽  
Vol 2016 ◽  
pp. 1-7
Author(s):  
Daming Fan ◽  
Bowen Yan ◽  
Huizhang Lian ◽  
Jianxin Zhao ◽  
Hao Zhang
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Factors Influencing ◽  
Human Evaluation ◽  
Main Factors ◽  
Instrumental Methods ◽  
The Relationship ◽  
Evaluation Techniques

The quality of traditional Chinese fried fritters is typically measured using human sensory evaluation techniques and physicochemical indices, the process of which is laborious and time-consuming. This study aimed to investigate the relationship between instrumental parameters, sensory criteria, and physicochemical indices. Significant correlations were found using principle component analysis. Volume, fat, texture, palatability, and instrumental parameters (hardness, fracturability, springiness, and gumminess) were found to be the main factors influencing the quality of Chinese fried fritters by principal component analysis (PCA) and instrumental methods, which were satisfactory replacement for human evaluation in correlation testing.

A Principal Component Analysis of Main Factors Influencing Seed Germination of Bioenergy Grass

2013 ◽  
Vol 805-806 ◽  
pp. 236-239
Author(s):  
Dan Shan ◽  
Yan Ping Liu ◽  
En De Xing ◽  
Peng Cheng Gao
Keyword(s):  
Principal Component Analysis ◽  
Seed Germination ◽  
Alternative Energy ◽  
Hot Spot ◽  
Principal Component ◽  
Component Analysis ◽  
Seed Vigor ◽  
Biomass Energy ◽  
Factors Influencing ◽  
Main Factors

Biomass energy is considered to be an ideal renewable alternative energy and herbaceous energy plants as an important biomass resources became research hot spot all over the world. Switchgrass (Panicum virgatum L.) is international recognized as the most suitable bioenergy plant for the past few years. In order to obtain the basic data about seed germination characteristics on switchgrass as a bioenergy grass, different temperatures are investigated to select reliability indexes on seed germination of two species switchgrass from eight measurement indexes and then analyzed main factors influencing seed vigor by a principal component analysis. The result showed that co-efficiency of germination (CG), germination index (GI) and Peak value (PV) from eight germination indexes can be used as measurement indexes for detect seed germination of two species switchgrass.

Factors influencing service quality

2019 ◽  
Vol 37 (2) ◽  
pp. 215-228 ◽  
Author(s):  
Samson Oluseun Ojekalu ◽  
Olatoye Ojo ◽  
Timothy Tunde Oladokun ◽  
Sumoila Aremu Olabisi
Keyword(s):  
Principal Component Analysis ◽  
Service Quality ◽  
Management Practice ◽  
Principal Component ◽  
Component Analysis ◽  
Property Management ◽  
Content Type ◽  
Factors Influencing ◽  
Five Axes

Purpose The purpose of this paper is to examine factors influencing service quality of the property managers to the occupiers of shopping complexes in Ibadan, Nigeria. This was with a view to providing information that could enhance property management practice. Design/methodology/approach Primary data were used for the study. The study area was stratified into five axes using major roads where shopping complexes were highly concentrated. Systematic sampling technique was used to select 139 out of 276 shopping complexes in the study area. The data obtained were analyzed using mean ranking and principal component analysis. Findings The study found that ineffective employee’s compensation, high employee turnover, lack of continuous improvement culture, inadequate use of employee empowerment, inadequate staff, lack of teamwork, inability to see tenants as customer, lack of motivation, education and training of the property managers and poor planning among others were the most significant factors influencing service quality of the property managers using mean ranking. The study further found that professional and empowerment factor, teamwork and motivation factor, customer related factor, work volume and operation factor, skills and job satisfaction factor, top-management commitment factor, experience and communication factor as well as financial factor were the factors influencing service quality of the property managers using principal component analysis. Practical implications This study will aid the property managers of shopping complexes in identifying areas which needed to be improved upon in order to provide quality service to occupiers thereby enhancing tenant retention and loyalty. Originality/value Previous studies on factors influencing service quality have been focusing on hospitality, healthcare, real estate agency and library industries. This study is one of the very few studies that examined factors influencing service quality of property managers of shopping complex. Also, the paper underlines the need for property managers of shopping complexes to give required attention to factors influencing service quality for enhanced property management practice.

scholarly journals Quantify Coal Macrolithotypes of a Whole Coal Seam: A Method Combing Multiple Geophysical Logging and Principal Component Analysis

Energies ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 213
Author(s):  
Chao Cui ◽  
Suoliang Chang ◽  
Yanbin Yao ◽  
Lutong Cao
Keyword(s):  
Principal Component Analysis ◽  
Coal Seam ◽  
Coalbed Methane ◽  
Principal Component ◽  
Component Analysis ◽  
Gas Production ◽  
Index Model ◽  
Geophysical Logging ◽  
The Relationship ◽  
Observation Results

Coal macrolithotypes control the reservoir heterogeneity, which plays a significant role in the exploration and development of coalbed methane. Traditional methods for coal macrolithotype evaluation often rely on core observation, but these techniques are non-economical and insufficient. The geophysical logging data are easily available for coalbed methane exploration; thus, it is necessary to find a relationship between core observation results and wireline logging data, and then to provide a new method to quantify coal macrolithotypes of a whole coal seam. In this study, we propose a L-Index model by combing the multiple geophysical logging data with principal component analysis, and we use the L-Index model to quantitatively evaluate the vertical and regional distributions of the macrolithotypes of No. 3 coal seam in Zhengzhuang field, southern Qinshui basin. Moreover, we also proposed a S-Index model to quantitatively evaluate the general brightness of a whole coal seam: the increase of the S-Index from 1 to 3.7, indicates decreasing brightness, i.e., from bright coal to dull coal. Finally, we discussed the relationship between S-Index and the hydro-fracturing effect. It was found that the coal seam with low S-Index values can easily form long extending fractures during hydraulic fracturing. Therefore, the lower S-Index values indicate much more favorable gas production potential in the Zhengzhuang field. This study provides a new methodology to evaluate coal macrolithotypes by using geophysical logging data.

scholarly journals Air Pollution and Human Development in Europe: A New Index Using Principal Component Analysis

2018 ◽  
Vol 10 (2) ◽  
pp. 312 ◽  
Author(s):  
Ana-Maria Săndică ◽  
Monica Dudian ◽  
Aurelia Ştefănescu
Keyword(s):  
Principal Component Analysis ◽  
Human Development ◽  
Quantitative Measure ◽  
Principal Component ◽  
Component Analysis ◽  
Life Expectancy At Birth ◽  
Real Gdp ◽  
Development Indicator ◽  
The Relationship ◽  
Pm2.5 Concentration

EU countries to measure human development incorporating the ambient PM2.5 concentration effect. Using a principal component analysis, we extract the information for 2010 and 2015 using the Real GDP/capita, the life expectancy at birth, tertiary educational attainment, ambient PM2.5 concentration, and the death rate due to exposure to ambient PM2.5 concentration for 29 European countries. This paper has two main results: it gives an overview about the relationship between human development and ambient PM2.5 concentration, and second, it provides a new quantitative measure, PHDI, which reshapes the concept of human development and the exposure to ambient PM2.5 concentration. Using rating classes, we defined thresholds for both HDI and PHDI values to group the countries in four categories. When comparing the migration matrix from 2010 to 2015 for HDI values, some countries improved the development indicator (Romania, Poland, Malta, Estonia, Cyprus), while no downgrades were observed. When comparing the transition matrix using the newly developed indicator, PHDI, the upgrades observed were for Denmark and Estonia, while some countries like Spain and Italy moved to a lower rating class due to ambient PM2.5 concentration.

scholarly journals Discrimination of Natural Mature Acacia Honey Based on Multi-Physicochemical Parameters Combined with Chemometric Analysis

Molecules ◽  
2019 ◽  
Vol 24 (14) ◽  
pp. 2674 ◽  
Author(s):  
Tianchen Ma ◽  
Haoan Zhao ◽  
Caiyun Liu ◽  
Min Zhu ◽  
Hui Gao ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Physicochemical Parameters ◽  
Phenolic Content ◽  
Principal Component ◽  
Component Analysis ◽  
Chemometric Analysis ◽  
Total Phenolic ◽  
Total Protein Content ◽  
Acacia Honey

Honey maturity is an important factor in evaluating the quality of honey. We established a method for the identification of natural mature acacia honey with eighteen physicochemical parameters combined with chemometric analysis. The analysis of variance showed significant differences between mature and immature acacia honey in physicochemical parameters. The principal component analysis explained 82.64% of the variance among samples, and indicated that total phenolic content, total protein content, and total sugar (glucose, fructose, sucrose) were the major variables. The cluster analysis and orthogonal partial least squares-discriminant analysis demonstrated that samples were grouped in relation to the maturity coinciding with the results of the principal component analysis. Meanwhile, the 35 test samples were classified with 100% accuracy with the method of multi-physicochemical parameters combined with chemometric analysis. All the results presented above proved the possibility of identifying mature acacia honey and immature acacia honey according to the chemometric analysis based on the multi-physicochemical parameters.

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