• Journal of Korean Academy of Nursing
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• v.27 no.3
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• pp.588-600
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• 1997

Postpartum depression is one of the most serious problems in maternal health because it affects not only the mother but also her family. Postpartum depression disturbs the maternal-infant interaction and attachment. However, most postpartum depression patients ignore this problem and do not seek treatment. Many clinicians and researchers realiza there is a need to develop a postpartum depression scale. Thus, this study has been designed to development of a postpartum depression scale. Data were collected through a survey over a period of three months. Subjects who participated in the study were 167 Korean mothers in their postpartum period. The author used a convenience sampling method. The analysis of the data was done with SPSS PC/sup ＋/ for descriptive statistics, item analysis and factor analysis. Initially 62 items were generated from the interview data of eight postpartum depression patients and from a literature review. This preliminary scale was analyzed for reliability and validity. The results of this analysis are as follows. 1. Initially 62 items were analyzed through the Index of Content Validity(CVI) and 48 items were selected. 2. Seven factors were extracted through the principal component analysis, and these contributed 61% of the variance in the total score. Finally 46 items in the scale loaded .41∼ .84 on one of seven factors. 3. Each factor was labeled. Factor 1 was labeled 'emotional phenomena-emotional upset' and included 13 items, factor 2 was labeled' cognitive phenomena-self concept disturbance' and included seven items, factor 3 was labeled 'relationship to baby-negative feeling' and included six items, factor 4 was labeled 'relationship to baby- overload' and included eight items, factor 5 was labeled 'negative maternal identity' and included five items, factor 6 was labeled 'biophysiological phenomena-disturbance of physical functioning' and included four items, and factor 7 was labeled' interpersonal relationship phenomena-blamed others' and included three items. 4. Cronbach Coefficient Alpha for internal consistency was .95 for the total 46 items. Finally, the author suggests that this scale could be adequately applied in assessing the postpartum depression of mothers during the postpartum period. The results of this study can contribute to designing an appropriate postpartum depression prevention strategy.

• Journal of Ginseng Research
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• v.42 no.1
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• pp.57-67
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• 2018

Background: Ginseng contains many small metabolites such as amino acids, fatty acids, carbohydrates, and ginsenosides. However, little is known about the relationships between microorganisms and metabolites during the entire ginseng fermentation process. We investigated metabolic changes during ginseng fermentation according to the inoculation of food-compatible microorganisms. Methods: Gas chromatography mass spectrometry (GC-MS) datasets coupled with the multivariate statistical method for the purpose of latent-information extraction and sample classification were used for the evaluation of ginseng fermentation. Four different starter cultures (Saccharomyces bayanus, Bacillus subtilis, Lactobacillus plantarum, and Leuconostoc mesenteroide) were used for the ginseng extract fermentation. Results: The principal component analysis score plot and heat map showed a clear separation between ginseng extracts fermented with S. bayanus and other strains. The highest levels of fructose, maltose, and galactose in the ginseng extracts were found in ginseng extracts fermented with B. subtilis. The levels of succinic acid and malic acid in the ginseng extract fermented with S. bayanus as well as the levels of lactic acid, malonic acid, and hydroxypruvic acid in the ginseng extract fermented with lactic acid bacteria (L. plantarum and L. mesenteroide) were the highest. In the results of taste features analysis using an electronic tongue, the ginseng extracts fermented with lactic acid bacteria were significantly distinguished from other groups by a high index of sour taste probably due to high lactic acid contents. Conclusion: These results suggest that a metabolomics approach based on GC-MS can be a useful tool to understand ginseng fermentation and evaluate the fermentative characteristics of starter cultures.

• Journal of the Korean Society of Clothing and Textiles
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• v.20 no.1
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• pp.170-182
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• 1996

The purpose of this study is to classify the upper body of women into several kind.; of somatotypes, using the method of Surgical Tape and making their shells. The subjects are 50 females 20 to 29 years-old. Fifty-one anthropometric data are measured per shell of body surface : eight somatotype factors are obtained through principal component analysis and orthogonal rotation by the method of Varimax, Somatotype of women's upper body is achieved by cluster analysis, using the standardized factor score a.: an independent variable and the FASTCLUS of SAS by Kmeans. The results are as follows : 1. The number of the factors which explain the somatotype is eight and these factors comprise 81.63 percent of total variance. Factor 1 related to the degree of fatness in the front of upper body Factor 2 related to the degree of fatness in the back of upper body Factor 3 . related to the length of the upper body Factor 4 : related to the type of the upper chest over the chest circmference line Factor 5 : related to the armhole and neck Factor 6 : related to the type of lower chest under the chest circumference line Factor 7: related to the part of the back shoulder Factor 8: related to the depth of front neck and side dart of front independently 2. Cluster analysis results in classification of upper body into five clusters. Cluster 1 : the of circumference i.: lager and that of length is longer than the average The louver part of chest is the lagest and widest among surface areas. Cluster 2 : the circumference is the smallest , the length and surface area are small. The upper and lower chest is small Cluster 3 : the length and surface area are the smallest , the circumference is average. The body line (silhouette) from chest to waist is curved slightly.

• Nutrition Research and Practice
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• v.10 no.6
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• pp.616-622
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• 2016

BACKGROUND/OBJECTIVES: In Argentina, obesity prevalence rose from 14.6% in 2005 to 20.8% in 2013. Although the number of studies on noncommunicable diseases and dietary patterns as a unique dietary exposure measure has increased, information on this topic remains scarce in developing countries. This is the first population-based study investigating the association between diet and obesity using a dietary pattern approach in Argentina. We aimed (a) to identify current dietary patterns of the population of $C{\acute{o}}rdoba$ city, (b) to investigate its association with obesity prevalence, and (c) to identify and describe dietary patterns from the subgroup of people with obesity. SUBJECTS/METHODS: The $C{\acute{o}}rdoba$ Obesity and Diet Study (CODIES) was conducted in $C{\acute{o}}rdoba$ city by using a random sample of n = 4,327 subjects between 2005 and 2012. Empirically derived dietary patterns were identified through principal component factor analysis. A multiple logistic regression analysis was used to investigate the association of dietary patterns with obesity. RESULTS: Four dietary patterns were identified, called "Starchy-Sugar", "Prudent", "Western", and "Sugary drinks". High scores for the "Western" pattern (with strongest factor loading on meats/eggs, processed meats, and alcohol) showed a positive association with obesity (OR: 1.33, 95% CI: 1.06-1.67, for third versus first tertile of factor score). "Meats/Cheeses" and "Snacks/Alcohol" patterns emerged in people with obesity. CONCLUSIONS: The findings suggest that high adherence to the "Western" pattern promoted obesity in this urban population. In addition, people with obesity showed characteristic dietary patterns that differ from those identified in the overall population.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.2
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• pp.19-26
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• 2009

This paper studies on the recognition rate change with respect to illumination variance and the confidence level of PCA(Principal Component Analysis) based face recognition by measuring the cumulative match score of CMC(Cumulative Match Characteristic). We studied on the confidence level of the algorithm under illumination changes and selection of training images not only by testing multiple training images per person with illumination variance and single training image and but also by changing the illumination conditions of testing images. The experiment shows that the recognition rate drops for multiple training image case compared to single training image case. We, however, confirmed the confidence level of the algorithm under illumination variance by the fact that the training image which corresponds to the identity of testing image belongs to upper similarity lists regardless of illumination changes and the number of training images.

• Child Health Nursing Research
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• v.18 no.2
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• pp.53-59
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• 2012

Purpose: This study was done to verify the reliability and validity of the Korean version of DMCI in Korean adolescents. Methods: A methodological study design was used with Cronbach's ${\alpha}$ for reliability, and an exploratory factor analysis and contrasted groups approach for construct validity. DMCI was translated into Korean and tested with a sample of 406 adolescents in Korea. The data were analyzed using Cronbach's ${\alpha}$, item correlation with total, principal component factor analysis, and t-test. Results: The translated content of the DMCI was validated by nursing faculty members and translation equivalency was obtained. The Cronbach's ${\alpha}$ of the DMCI simplified with 18 items was .78. The factor analysis revealed three factors explaining 41.5% of total variance and the corresponding factors were self-observation (21.6%), self-judgement (11.4%), and self-confidence (8.6%). The mean score for the DMCI in the aggression group was significantly lower than the non-aggression group. Conclusion: Results of this study suggest that the Korean version of DMCI can used as a reliable and valid measure to assess decision making competency in Korean adolescents.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.9
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• pp.1674-1680
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• 2017

In this paper, an embedded system for face authentication, which exploits high-dimensional local binary pattern (LBP) descriptor and joint Bayesian algorithm, is proposed. We also present a feasible embedded system for the proposed algorithm implemented with a Raspberry Pi 3 model B. Computer simulation for performance evaluation of the presented face authentication algorithm is carried out using a face database of 500 persons. The face data of a person consist of 2 images, one for training and the other for test. As performance measures, we exploit score distribution and face authentication time with respect to the dimensions of principal component analysis (PCA). As a result, it is confirmed that an embedded system having a good face authentication performance can be implemented with a relatively low cost under an optimized embedded environment.

• Bulletin of the Korean Chemical Society
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• v.30 no.1
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• pp.137-144
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• 2009

In this study, quantitative and pattern recognition analyses for the quality evaluation of Herba Epimedii using HPLC was developed. For quantitative analysis, five major bioactive constituents, hyperin, epimedin A, epimedin B, epimedin C, and icariin were determined. Analysis was carried out on Capcell pak $C_{18}$ column ($250{\time}4.6$ mm, 5 ${\mu}m$) with a mobile phase of mixture of acetonitrile and 0.1% formic acid, using UV detection at 270 nm. The linear behavior was observed over the investigated concentration range (2-50 ${\mu}g/mL;\;r_2\;>$ 0.99) for all analytes. The intraand inter-day precisions were lower than 4.3% (as a relative standard deviation, RSD) and accuracies between 95.1% and 104.4%. The HPLC analytical method for pattern recognition analysis was validated by repeated analysis of one reference sample. The RSD of intra- and inter-day variation of relative retention time (RRT) and relative peak area (RPA) of the 12 selected common peaks were below 0.8% and 4.7%, respectively. The developed methods were applied to analysis of twenty Herba Epimedii extract samples. Contents of hyperin, epimedin A, epimedin B, epimedin C, and icariin were calculated to be 0$\sim$0.79, 0.69$\sim$1.91, 0.93$\sim$9.58, 0.65$\sim$3.05, and 2.43$\sim$11.8 mg/g dried plant. Principal component analysis (PCA) showed that most samples were clustered together with the reference samples but several apart from the main cluster in the PC score plot, indicating differences in overall chemical composition between two clusters. The present study suggests that quantitative determination of marker compounds combined with pattern-recognition method can provide a comprehensive approach for the quality assessment of herbal medicines.

• Journal of the Korean Society of Clothing and Textiles
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• v.6 no.2
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• pp.49-55
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• 1982

The purpose of this study was to analyze the factorial structure of the criteria on clothing selection. Data were obtained from 219 housewives in Seoul. 95 likert type questions were selected from the existing questionnaires and from the open end questions. The items were analyzed for discriminating power, followed by the factor analysis. 57 items were subjected to the principal component analysis with orthogonal rotation after extraction of 5 major factors. 47 items were found to be significantly loaded to at least one of the five factors. The factors had the following characteristics: Factor I. The persons scoring high on this factor would invest time and energy in their clothes to achieve their image and individuality. They were interested in clothes, appearance and fashion. Factor II. The persons scoring high on this factor were more concerned about the practicality of clothing, such as ease-of-care, comfort, texture and quality of fabric. They would not select the clothes which soiled easily and would not perform as expected. Factor III. High scores on this factor were associated with the eagerness to get the cloth-ing value for the money. They would make a long plan to buy an expensive clothing and choose a unique clothing regardless of fashion. Factor IV. A high score on this factor was suggestive of modesty. They were willing to buy inconspicuous clothes, such as dark or muted colors, small prints and conservative styles. Factor V. High scores on this factor were characterized by the desire for conformity and approval of their friends. This result may be used to develop an instrument to measure the criteria on clothing selection of consumer.

• Journal of the Korean Wood Science and Technology
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• v.48 no.5
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• pp.591-607
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• 2020

This study was aimed to investigate the changes of chemical composition of the volatile organic compounds (VOCs) emitted from red pine needles in the process of needle abscission or senescence. The VOCs in intact, senescent, and litter red pine needle samples were analyzed by headspace-solid phase microextraction gas chromatography-mass spectrometry (HS-SPME-GC/MS). And then, multivariate statistical interpretation of the processed data sets was conducted to investigate similarities and dissimilarities of the needle samples. Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were used to investigate the dataset structure and discrimination between samples, respectively. From the data preview, the levels of major components of VOCs from needles were not significantly different between needle samples. By PCA investigation, the data reduction according to classification based on the chlorophyll a / chlorophyll b (Ca/Cb) ratio were found to be ideal for differentiating intact, senescent, and litter needles. The following OPLS-DA taking Ca/Cb ratio as y-variables showed that needle samples were well grouped on score plot and had the significant discriminant compounds, respectively. Several compounds had significantly correlated with Ca/Cb ratio in a bivariate correlation analysis. Notably, the litter needles had a higher content of oxidized compounds than the intact needles. In summary, we found that chemical compositions of VOCs between intact, senescent, and litter needles are different each other and several compounds reflect characteristic of needle.