• Journal of the Korean Applied Science and Technology
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• v.38 no.4
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• pp.941-950
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• 2021

This study was conducted to identify the factors affecting the health-promoting lifestyle of the school-age obese children. Method: Data Collection for this study was conducted form July 20 to August 2, 2019 using a structured questionnaire. We analyzed the collected data by frequency, percentage, ANOVA, t-test, Pearson's Correlation Coefficient, and Multiple Regression Analysis. Results: The factors affecting the health-promoting lifestyle of the subjects, multiple regression analysis results showed that Dietary Self-Efficacy(𝛽=.406, p=.001), Physical Activity Self-Efficacy(𝛽=.245, p=.038), Furthermore, the F statistics for the fitness of the estimated regression model were 6.34(p<.001), which was significant. The explanatory power was 24.2%. Conclusion: The results of this study showed that Dietary Self-Efficacy and Physical Activity Self-Efficacy of the school-age obese children was the most influential factor on health-promoting lifestyle. Consequently, the results of this study suggest that it is necessary to find ways to improve Dietary Self-Efficacy and Physical Activity Self-Efficacy in order to improve health-promoting lifestyle of nurses, and it is considered to be useful as basic data for developing intervention programs to improve health-promoting lifestyle.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.240-249
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• 2019

This study was conducted to examine the effects of awareness of infection control, career decision making self efficacy and critical thinking disposition on the performance of infection control among nursing students. The study subjects were 404 third and fourth year nursing students at 4 colleges in D and K cities. The data were collected from November 5 to December 21, 2018 by using a structured questionnaire. The data were analyzed by using the SPSS WIN 17.0 program to conduct descriptive statistics, independent t-test, one-way ANOVA, post-hoc Duncan's test, Pearson's correlation coefficients, and multiple regression. The average score of awareness of infection control was 4.75 points, career decision making self efficacy was 3.02 points, critical thinking disposition was 4.73 points and performance of infection control was 4.46 points. Performance of infection control was positively influenced by age, awareness of infection control and career decision making self efficacy. The explanatory power of the model was 38.6%. Therefore, these results imply the need to develop an education program to improve the awareness of infection control and career decision making self efficacy, which will enhance the performance of infection control of nursing students.

• Journal of the Korean Applied Science and Technology
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• v.36 no.3
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• pp.726-736
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• 2019

The purpose of this study is to investigate the effect of University hospital nurses' self-efficacy and job performance on job satisfaction. The subjects of this study were 130 nurses working at a university hospital in C city and collected data using structured questionnaires. The collected data were analyzed using mean, standard deviation, t-test, ANOVA, Pearson's correlation and multiple regression analysis using spss 25.0. The results showed that the self-efficacy was 3.24 points for the average score, 2.74 points for the job performance, and 3.10 points for the job satisfaction. Self-efficacy, job performance, and job satisfaction were statistically correlated. The factors affecting job satisfaction were self-efficacy (${\beta}=.39$, p<.001), age at 30~34 years (${\beta}=-.27$, p=.001), Operating Room(${\beta}=-.17$, p=.029), Medical ward (${\beta}=-.17$, p=.025) and unmarried (${\beta}=-.20$, p=.012) and the explanatory power of the model was 30.4%. Based on the results of this study, it is necessary to develop a program to improve the job satisfaction considering the self-efficacy, age, working department of hospital nurse.

• The Journal of Society for e-Business Studies
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• v.24 no.1
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• pp.121-137
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• 2019

De-identification is a method by which the remaining information can not be referred to a specific individual by removing the personal information from the data set. As a result, de-identification can lower the exposure risk of personal information that may occur in the process of collecting, processing, storing and distributing information. Although there have been many studies in de-identification algorithms, protection models, and etc., most of them are limited to structured data, and there are relatively few considerations on de-identification of unstructured data. Especially, in the medical field where the unstructured text is frequently used, many people simply remove all personally identifiable information in order to lower the exposure risk of personal information, while admitting the fact that the data utility is lowered accordingly. This study proposes a new method to perform de-identification by applying the k-anonymity protection model targeting unstructured text in the medical field in which de-identification is mandatory because privacy protection issues are more critical in comparison to other fields. Also, the goal of this study is to propose a new utility metric so that people can comprehend de-identified data set utility intuitively. Therefore, if the result of this research is applied to various industrial fields where unstructured text is used, we expect that we can increase the utility of the unstructured text which contains personal information.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.872-877
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• 2018

STEAM is an acronym for Science, Technology, Engineering, Arts, and Mathematics. It is considered important to equip students with a creative thinking ability and the core competences required in future society, helping them devise new ideas emerging from branches of study. This study is about the convergence of instructional design in private finance for the life sciences, which aims to foster talent through problem-based learning (PBL). Skills like collaboration, creativity, critical thinking, and problem solving are part of any STEAM PBL, and are needed for students to be effective. STEAM projects give students a chance to problem-solve in unique ways, because they are forced to use a variety of methods to solve problems that pop up during these types of activities. The results of this study are as follows. First is the structured process of convergence lessons. Second is the convergence lesson process. Third is the development of problems in the introduction of private finance and the life sciences for a convergence lesson at Dornod University. Learning motivation shows the following results: understanding of learning content (66.6%), effectiveness (63.3%), self-directed learning (59.9%), motivation (63.2%), and confidence (63.3%). To make an effective model, studies applying this instructional design are to be implemented.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.7
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• pp.393-405
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• 2019

This study is descriptive survey research to find out factors which violence experience, violence coping and social support affect. This study aims at reducing burnout of psychiatry nurses and founding problem-oriented violence handling standardized intervention. The subjects were 204 nurses who have worked for more than a year in a hospital. The data collection period was conducted with structured survey from July 1, 2018 to August 31, 2018. Collected data was analysed with average, standard deviation, t-test, ANOVA, Pearson's Correlation confident, Multiple Regression and this data will go to by SPSS. The results of the study were as follows. 92.2% of psychiatry nurses are experiencing verbal violence, 92.2% are experiencing physical threat and 75.5% are experiencing physical violence. Relations between violence experience and violence coping(r=0.15. p<.027), violence experience and burnout(r=0.16, p<.017) were positive correlation. Relation between violence coping and social support(r=0.30, p<.001) was positive correlation, and social support and burnout(r=-0.28, p<.001) was negative correlated. Also we found out that nursing job satisfaction, social support and physical violence experience affect burnout. Which shows model's explanatory power was 33.3%. Therefore preventive discipline which can reduce violence experience of psychiatry nurses, founding systems to reinforce social support and creating circumstance where nursing job satisfaction can increase will help reduce burnout and serve better nursing.

• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.306-315
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• 2019

The purpose of this study was to analyze empirically influential factors related to the recovery of people with a mental disorder and also the moderating effects of family resilience. For this purpose, the investigator developed a research model that took into consideration both the positive and negative elements of individual and social factors based on the ecological, psychological, social, and ecosystem perspectives in previous studies and checked their causal effects and the moderating effects of family resilience in statistical significance. The subjects include 112 clients at an institution for people with a mental disorder. Data was collected with an interview based on a structured questionnaire. Collected data was put to the multiple regression analysis. The analysis results show that there was statistical significance in self-esteem, social stigma, and social support excluding symptoms and that the moderating effects of family resilience had positive(+) synergistic effects only on self-esteem and social support. Based on these results, the study made proposals about practice strategies including the establishment of internal and external support systems to make an effective approach to recovery and the systemization of family resilience and supportive strategies to promote the smooth recovery of people with a mental disorder through the reinforcement of programs related to the confirmed positive elements of self-esteem and social support.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.453-461
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• 2021

This study aims to study the effect of service quality of lifelong education in culture and arts on educational satisfaction, intention to continuous use and performance. The service quality of culture and art lifelong education was divided into three dimensions: education quality, administrative quality, and environmental quality. As detailed factors related to quality, six variables were set based on SERVQUAL: convenience, expertise, responsiveness, supportability, empathy, and tangibility. For this study, data were collected from 310 people taking cultural arts lectures at lifelong educational institutions in Seoul, Daegu, and Gumi. Since it was only for lectures related to culture and arts, a total of 256 materials were used for the study, excluding inappropriate materials. A structured questionnaire was used as a data collection method, and a structural model analysis was conducted to verify the hypothesis. As a result of this study, responsiveness among the service quality factors of lifelong education for culture and arts was rejected. In addition, the higher the satisfaction with the culture and art lifelong education institution, the higher the performance and the intention to continue using it. The theoretical and practical implications of this study result were discussed, and future research tasks were presented.

• Elastomers and Composites
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• v.55 no.4
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• pp.306-313
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• 2020

To investigate the reinforcing effects of functional fillers in nitrile rubber (NBR) materials, high-structure carbon black (HS45), coated calcium carbonate (C-CaCO3), silica (200MP), and multi-walled carbon nanotubes (MWCNTs) were used as functional filler, and carbon black (SRF) as a common filler were used for oil-resistant rubber. The curing and mechanical properties of HS45-, 200MP-, and MWCNT-filled NBR compounds were improved compared to those of the SRF-filled NBR compound. The reinforcing effect also increased with a decrease in the particle size of the fillers. The C-CaCO3-filled NBR compound exhibited no reinforcing effect with increasing filler concentration because of their large primary particle size (2 ㎛). The reinforcing behavior based on 100% modulus of the functional filler based NBR compounds was compared by using several predictive equation models. The reinforcing behavior of the C-CaCO3-filled NBR compound was in accordance with the Smallwood-Einstein equation whereas the 200MP- and MWCNT-filled NBR compounds fitted well with the modified Guth-Gold (m-Guth-Gold) equation. The SRF- and HS45-filled NBR compounds exhibited reinforcing behavior in accordance with the Guth-Gold and m-Guth-Gold equations, respectively, at a low filler content. However, the values of reinforcement parameter (100Mf/100Mu) of the SRF- and HS45-filled NBR compounds were higher than those determined by the predictive equation model at a high filler content. Because the chains of SRF composed of spherical filler particles are similarly changed to rod-like filler particles embedded in a rubber matrix and the reinforcement parameter rapidly increased with a high content of HS45, the higher-structured filler. The reinforcing effectiveness of the functional fillers was numerically evaluated on the basis of the effectiveness index (��SRF/��f) determined by the ratio of the volume fraction of the functional filler (��f) to that of the SRF filler (��SRF) at three unit of reinforcing parameter (100Mf/100Mu). On the basis of their effectiveness index, MWCNT-, 200MP-, and HS45-filled compounds showed higher reinforcing effectiveness of 420%, 70%, and 20% than that of SRF-filled compound, respectively whereas C-CaCO3-filled compound exhibited lower reinforcing effectiveness of -50% than that of SRF-filled compound.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.104-112
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• 2021

In this study, emotional analysis was conducted based on the basic attribute data of music and the emotional model in psychology, and the result was applied to the visualization rules in the formative arts. In the existing studies using musical parameter, there were many cases with more practical purposes to classify, search, and recommend music for people. In this study, the focus was on enabling sound data to be used as a material for creating artworks and used for aesthetic expression. In order to study the music visualization as an art form, a method that can include human emotions should be designed, which is the characteristics of the arts itself. Therefore, a well-structured basic classification of musical attributes and a classification system on emotions were provided. Also, through the shape, color, and animation of the visual elements, the visualization of the musical elements was performed by reflecting the subdivided input parameters based on emotions. This study can be used as basic data for artists who explore a field of music visualization, and the analysis method and work results for matching emotion-based music components and visualizations will be the basis for automated visualization by artificial intelligence in the future.