Principal Component Analysis to Assess the Changes of Yield and Quality of Two Pinellia ternata Cultivars After Brassinolide Treatments

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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Tactile evaluation of down jacket fabric by the comprehensive handle evaluation system for fabrics and yarns

Textile Research Journal ◽

10.1177/0040517520977207 ◽

2020 ◽

pp. 004051752097720

Author(s):

Yuan Tian ◽

Yi Sun ◽

Zhaoqun Du ◽

Dongming Zheng ◽

Haochen Zou ◽

...

Keyword(s):

Mechanical Properties ◽

Principal Component Analysis ◽

Evaluation System ◽

Principal Component ◽

Objective Evaluation ◽

Component Analysis ◽

Quality Level ◽

Fabric Handle ◽

Good Agreement

Down jacket fabric is greatly important in determining the quality of a down jacket. In order to enrich the research on fabric handle, subjective and objective evaluations were made for down jacket fabrics that were less studied. The comprehensive handle evaluation system for fabrics and yarns (CHES-FY) can be used to evaluate the tactile handle of the fabric by accurately and efficiently measuring the basic mechanical properties of the fabric. Therefore, the CHES-FY was used to link the objective evaluation with the subjective handle, so as to effectively estimate the total handle value of the down jacket fabric. Fifty-two kinds of down jacket fabrics were objectively tested through measuring 17 extracted parameters, and principal component analysis was adopted to establish the five main handle characteristics of fullness, softness, stiffness, smoothness, looseness and tightness to characterize basic style of the down jacket fabrics. The results showed that the subjective and objective results were in good agreement. These characteristics can be used as indicators to characterize fabric performance, and the principal component expression to characterize fabric handle can better predict the handle characteristics of down jacket fabrics. This also proves that the CHES-FY can quickly and accurately obtain the fabric handle value, and can also evaluate the fabric quality level.

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The Establishment of Principal Component Analysis Assessment Model for Drinking Water Quality of City Resource

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.675-677.960 ◽

2014 ◽

Vol 675-677 ◽

pp. 960-963

Author(s):

Li Feng Sun ◽

Qing Jie Qi ◽

Xiao Liang Zhao ◽

Rui Feng Li

Keyword(s):

Water Quality ◽

Principal Component Analysis ◽

Drinking Water ◽

Water Resources ◽

Principal Component ◽

Water Source ◽

Component Analysis ◽

Assessment Model ◽

Affecting Factors

In order to effectively control pollution of sources of drinking water, improve the environmental quality of drinking water and guarantee the sanitation of drinking water, it is very important to assess water source quality. Main factors of drinking water were identified. Then principal component analysis was used to establish assessment model of drinking water, which could ensure that under the condition that the primitive data information was in the smallest loss, a small number of variables were used to replace the integrated multi-dimensional variables to simplify the data structure. The weightings of principal component were determinated as theirs pollution ratios. This paper was based on the theoretical study of principal component analysis, used the monitoring data on water quality of the main water resources in 2013 to evaluate and analyze the water quality of water resources. Analysis content included the main affecting factors, cause of pollution and the degree of pollution.The resulted showed that: the main affecting factors on water quality of Fo Si water source was CODMn, TP, fluoride.

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The use of principal component analysis in creating an composite indicators of change in the quality of system

2017 Tenth International Conference Management of Large-Scale System Development (MLSD) ◽

10.1109/mlsd.2017.8109716 ◽

2017 ◽

Author(s):

Zhgun Tatyana ◽

Chalov German

Keyword(s):

Principal Component Analysis ◽

Principal Component ◽

Component Analysis ◽

Composite Indicators

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Is There an Association between Symptoms of Anxiety and Depression and Quality of Life in Patients with Chronic Obstructive Pulmonary Disease?

Canadian Respiratory Journal ◽

10.1155/2015/478528 ◽

2015 ◽

Vol 22 (1) ◽

pp. 37-41 ◽

Cited By ~ 3

Author(s):

Verônica F Parreira ◽

Renata N Kirkwood ◽

Megan Towns ◽

Isabel Aganon ◽

Lauren Barrett ◽

...

Keyword(s):

Quality Of Life ◽

Chronic Obstructive Pulmonary Disease ◽

Principal Component Analysis ◽

Pulmonary Disease ◽

Principal Component ◽

Component Analysis ◽

Anxiety And Depression ◽

Chronic Obstructive ◽

Obstructive Pulmonary Disease

BACKGROUND: In addition to symptoms, such as dyspnea and fatigue, patients with chronic obstructive pulmonary disease (COPD) also experience mood disturbances.OBJECTIVE: To explore the relationships between health-related quality of life measures collected from patients with stable COPD and a commonly used measure of depression and anxiety.METHODS: The present analysis was a retrospective study of patients with COPD enrolled in a pulmonary rehabilitation program. Hospital Anxiety and Depression Scale (HADS), Chronic Respiratory Disease Questionnaire (CRQ), Medical Research Council dyspnea scale and 6 min walk test data were collected. Statistical analyses were performed using Spearman’s correlations, and categorical regression and categorical principal component analysis were interpreted using the biplot methodology.RESULTS: HADS anxiety scores retrieved from 80 patients were grouped as ‘no anxiety’ (n=43 [54%]), ‘probable anxiety’ (n=21 [26%]) and ‘presence of anxiety’ (n=16 [20%]). HADS depression scores were similarly grouped. There was a moderate relationship between the anxiety subscale of the HADS and both the emotional function (r=−0.519; P<0.01) and mastery (r=−0.553; P<0.01) domains of the CRQ. Categorical regression showed that the CRQ-mastery domain explained 40% of the total variation in anxiety. A principal component analysis biplot showed that the highest distance between the groups was along the mastery domain, which separated patients without feelings of anxiety from those with anxiety. However, none of the CRQ domains were able to discriminate the three depression groups.CONCLUSIONS: The CRQ-mastery domain may identify symptoms of anxiety in patients with COPD; however, the relationship is not strong enough to use the CRQ-mastery domain as a surrogate measure. None of the CRQ domains were able to discriminate the three depression groups (no depression, probable and presence); therefore, specific, validated tools to identify symptoms of depression should be used.

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