• Physical Therapy Korea
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• v.23 no.4
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• pp.55-62
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• 2016

Background: The functioning of the serratus anterior (SA) muscle is essential to normal scapulohumeral rhythm during forward flexion (FF) of the shoulder. Also, SA weakness and overuse of the upper trapezius (UT) is observed in patients with shoulder dysfunction and trapezius myalgia. We designed a combination exercise involving FF and scapular protraction with resistance (CFFSP) to activate the SA muscle and to deactivate the UT muscle. Objects: The purpose of this study was to determine whether or not CFFSP would be more effective in activating the SA muscle than FF alone and FF with scapular protraction (FFP). Methods: Nineteen subjects (12 men and 7 women) participated in this study and performed FF, FFP, and CFFSP at $120^{\circ}$. Surface electromyography was applied to the SA, UT, and pectoralis major (PM) muscles, as was one-way analysis of variance (ANOVA) with repeated measures. Statistical significance was set at .05. Bonferroni adjustment was used to counteract the problem of multiple comparisons, with a statistical level of significance of .017 (.05/3). Results: A statistically significant difference was found in relation to the three positions for the SA muscle (p<.001) and the SA/UT ratio (p=.005) using ANOVA. Significantly different results, depending on the position, were also demonstrated using the Bonferroni post-hoc test for the SA muscle ($FF=28.27{\pm}16.20$, $FFP=45.66{\pm}15.81$, and $CFFSP=62.4{\pm}27.21$) and for the SA/UT ratio ($FF=3.04{\pm}2.14$, $FFP=3.61{\pm}2.38$, and $CFFSP=5.95{\pm}3.01$). Significant differences between the three positions was not found regarding the average amplitude of SA/PM muscle ratio (SA/PM: p=.060). Conclusion: We recommend the use of CFFSP to strengthen the SA muscle at $120^{\circ}$.

• The Korean Journal of Food And Nutrition
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• v.31 no.4
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• pp.565-570
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• 2018

The objective of this study is to analyze the characteristics of persons with a high sugar-intake ratio (%E) and factors affecting sugar-intake ratio with the Korea National Health and Nutrition Examination Survey ($6^{th}$ KNHANES). The sugar-intake ratio is the calories of sugar from processed food divided by the daily total intake of calories. In this research we used two statistical methods, the cluster analysis and one-way analysis of variance (ANOVA). Cluster analysis was used to classify groups of sugar-intake ratios. For analysis of factors affecting the sugar-intake ratio, we applied the ANOVA. Korean have about a 3.89% sugar-intake ratio from processed food per day. The demographic characteristics of people with higher sugar-intake ratios were found to be more women than men, younger men with less education, more people in the household, smaller height, weight waistline and body mass index (BMI). Also office worker, lower drinking frequency, not getting a hypertension, diabetes, hyperlipidemia, lower breakfast and dinnner frequency, not experiencing nutritional education, and not using nutritional labeling. For reducing intake sugar in what are called health-hazardable nutrients in the food sanitation act, it is necessary to educate the people with high sugar ratio who were identified in this study.

• Korean Journal of Human Ecology
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• v.19 no.6
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• pp.1103-1113
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• 2010

The purpose of this study was to examine the consumption behaviors regarding environment-friendly agricultural products by food-related lifestyles of housewives. The data were collected from 298 housewives living in Yeungnam region through a self-administered questionnaire during April, 2010. Frequencies, Cronbach's $\alpha$, factor analysis, cluster analysis, one-way analysis of variance, Duncan's multiple range test and chi-square test were conducted by SPSS Windows. The results obtained from this study were as follows. Lifestyles were categorized into five factors by factor analysis: healthy-seeking type, popularity-seeking type, convenience-seeking type, safety-seeking type and taste-seeking type. The respondents belonged to one of three groups by cluster analysis: popularity-seeking group, convenience-seeking group, and wellbeing-seeking group. The main reason given for purchasing environment-friendly agricultural products was safety. The respondents were satisfied with the safety of environment-friendly agricultural products the most. Many respondents purchased environment-friendly agricultural products at large discount markets, and received information about them from mass media. There were significant differences among three groups in the place of purchase environment-friendly agricultural products, information source for environment-friendly agricultural products, most important factor when purchasing environment-friendly agricultural products, the level of satisfaction with environment-friendly agricultural products and the purchase rate of environment-friendly agricultural products among the monthly food expenses.

• Journal of Information Technology Applications and Management
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• v.20 no.2
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• pp.57-68
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• 2013

Recently, cloud computing has been viewed as a technology of great influence. Despite the importance of personal cloud services, the majority of cloud computing studies has been focused on an enterprise level. Therefore, in this research, we list variables of personal cloud computing characteristics (accessibility, storage, trust, perceived ease of use, availability) from preceding research done on an enterprise level. So, through pilot testing, we analyze whether examined characteristic variables affect the intention to use personal cloud computing. Next, we investigate the relevancy between user characteristics, including gender, age, and occupation, and the usage rate of personal cloud computing. Lastly, we implement an analysis of variance in order to speculate whether there is any difference between the five characteristic variables in using personal cloud computing between cloud service enterprises. For empirical testing people with experience in personal cloud computing are surveyed. Frequency analysis, exploratory factor analysis, internal consistency analysis, T-test, ANOVA, and multiple regression analysis are implemented with 325 valid samples. The analysis results are as follows: First, among user characteristic variables, 'occupation' shows a significant relationship with cloud service usage, Second, between cloud service enterprises, all five characteristic variables of 'Naver N Drive' are thoroughly evaluated and 'Google Drive' receives a high evaluation in availability and accessibility. Third and finally, all of the selected characteristic variables affect the intention to use personal cloud computing. However, availability is identified to be the most important factor. This research will serve as a reference to enterprises for the practical implementation of personal cloud computing service.

• Membrane and Water Treatment
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• v.1 no.1
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• pp.49-60
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• 2010

In this study, response surface methodology (RSM) was performed in NF membrane process to evaluate the separation efficiency of membrane in the removal of salt and reactive dye by varying different variables such as pressure, temperature, pH, dye concentration and salt concentration. The significant level of both the main effects and the interaction were observed by analysis of variance (ANOVA) approach. Based on the statistical analysis, the results have provided valuable information on the relationship between these variables and the performances of membrane. The rejection of salt was found to be greatly influenced by pressure, pH and salt concentration whereas the dye rejection was relatively constant in between 96.22 and 99.43% regardless of the changes in the variables. The water flux on the other hand was found to be affected by the pressure and salt concentration. It is also found that the model predictions were in good agreement with the experimental data, indicating the validity of these models in predicting membrane performances prior to the real filtration process.

• Women's Health Nursing
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• v.26 no.1
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• pp.37-48
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• 2020

Purpose: The purpose of this study was to identify the factors influencing mothers' intention to vaccinate their elementary-school sons against human papillomavirus (HPV). Methods: The participants were 151 mothers of fourth- to sixth-grade boys at three elementary schools in Daejeon, Korea. The data were analyzed using SPSS for Windows version 25.0. Descriptive statistics, the independent t-test, one-way analysis of variance, the Mann-Whitney U test, Pearson correlation coefficients, and multiple regression analysis were used. Results: The mothers' score for intention to vaccinate their sons against HPV was 5.04 out of 7. Self-efficacy (β=.60, p<.001) and subjective norms towards HPV vaccination (β=.30, p<.001) were significant factors influencing mothers' intention to vaccinate their elementary-school sons against HPV. These factors accounted for 81.0% of HPV vaccination intention among mothers (F=160.84, p<.001). Conclusion: The results of this study suggest that to increase the HPV vaccination rate for elementary-school boys, it is necessary to develop intervention strategies to improve mothers' self-efficacy and subjective norms towards HPV vaccination and to verify the effects of those strategies. This research provides a foundation for designing interventions to increase the HPV vaccination rate of elementary-school boys.

• The Journal of the Acoustical Society of Korea
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• v.23 no.1
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• pp.82-89
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• 2004

This paper describes how to reduce the effect of an occupation threshold by that the transform of mixture components of HMM parameters is controlled in hierarchical tree structure to prevent from over-adaptation. To reduce correlations between data elements and to remove elements with less variance, we employ PCA (principal component analysis) and ICA (independent component analysis) that would give as good a representation as possible, and decline the effect of over-adaptation. When we set lower occupation threshold and increase the number of transformation function, ordinary WLLR adaptation algorithm represents lower recognition rate than SI models, whereas the proposed MLLR adaptation algorithm represents the improvement of over 2% for the word recognition rate as compared to performance of SI models.

• Child Health Nursing Research
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• v.26 no.3
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• pp.357-365
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• 2020

Purpose: The aim of this study was to investigate internet addiction among middle school students and to examine the mediating effects of social support in the relationships of self-efficacy and self-control with internet addiction. Methods: The participants in the study were 119 middle school students in J city. The measurements included a self-efficacy scale, a self-control scale, a social support scale, and the Internet Addiction Scale for Youth. Data were analyzed using the independent t-test or Mann-Whitney U test, one-way analysis of variance, the Scheffé test, Pearson correlation coefficients, and multiple-regression using SPSS version 22.0. Mediation effects were analyzed by the Sobel test and Baron and Kenny's hierarchical analysis technique. Results: Significant correlations were found among self-efficacy, self-control, and internet addiction. Social support had partial mediating effects in the relationship between self-efficacy and internet addiction, as well as in the relationship between self-control and internet addition. Conclusion: In order to prevent internet addiction, the promotion of interactions among peers, which is a component of social support, is particularly important. It is also necessary to promote face-to-face activities that can strengthen relationships. The findings suggest that intensifying social support may help reduce the level of internet addiction in middle school students.

• The Journal of the Acoustical Society of Korea
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• v.22 no.7
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• pp.539-544
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• 2003

This paper describes how to reduce the effect of an occupation threshold by that the transform of mixture components of HMM parameters is controlled in hierarchical tree structure to prevent from over-adaptation. To reduce correlations between data elements and to remove elements with less variance, we employ PCA (Principal component analysis) and ICA (independent component analysis) that would give as good a representation as possible, and decline the effect of over-adaptation. When we set lower occupation threshold and increase the number of transformation function, ordinary MLLR adaptation algorithm represents lower recognition rate than SI models, whereas the proposed MLLR adaptation algorithm represents the improvement of over 2% for the word recognition rate as compared to performance of SI models.

• Child Health Nursing Research
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• v.24 no.1
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• pp.9-17
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• 2018

Purpose: The purpose of this descriptive survey study was to characterize the relationship between clinical decision-making and job satisfaction among pediatric nurses and to elucidate the mediating effects of the nurse-parent partnership on that relationship. Methods: The subjects of the study were 174 nurses who had worked in a pediatric ward in a university hospital, general hospital, or children's hospital. Data were collected from June 20, 2016 to August 10, 2016 and analysed using descriptive statistics, the t-test, analysis of variance, the Pearson correlation coefficient, and three-step mediated regression analysis in SPSS version 22.0 for Windows. Results: The nurse-parent partnership had significant effects on clinical decision-making and job satisfaction, with an explanatory power of 19% and 26%, respectively. The nurse-parent partnership had a partial mediating effect on the relationship between clinical decision-making and job satisfaction (Sobel test: Z=4.31, p<.001). Conclusion: The nurse-parent partnership had a partial mediating effect on the relationship between clinical decision-making and job satisfaction among pediatric nurses. Therefore, in order to improve the job satisfaction of pediatric nurses, it is necessary to develop effective educational programs and strategies to address their clinical decision-making and their experiences of the nurse-parent partnership.