• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.247-255
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• 2019

This study was conducted to explore the correlation between the personality types and learning styles and academic achievement in first year nursing students. 144 students were sampled in first year nursing sstudents. Data were collected from March 6 to May 18 2018. Results analysis was performed using SPSS win version of frequency, mean and standard deviation, t-test, ANOVA, Chi-square test, Pearson correlation. The personality types of nursing students in this study were 58.3% of Extrovert type, 41.7% of Introvert type, 33.3% of Sensing, 66.7% of Intuition type, 22.2% of Thinking, 77.8% of Feeling, 50.7% of Judging type, and 49.3% of Perceiving type. The average academic achievement of female students was 3.51 points, higher than the average of 3.17 for male students (t=-3.277, p<.001). The average academic achievement of Introvert type was found to be higher than the average of Extrovert type (t=3.541, p<.001). Learning styles by personality type showed a statistically significant difference between the judging type and the other personality types (${\chi}^2=18.409$, p<.001). There was a significant amount of correlation between gender and TF index (r=.209, p<.05), gender and academic achievement (r=.265, p<.01), JP index and learning styles (r=.262, p<.01, EI index and academic achievement (r=.285, p<.01). The development and utilization of teaching-learning methods suitable for individuals will be required based on the results of personality types, learning styles and academic achievement in first year nursing students identified through this study.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.783-790
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• 2024

This study aimed to investigate the impact of arthritis self-management education on changes in arthritis-related knowledge levels and arthritis-specific self-efficacy among elderly individuals at a senior center. This study was conducted with one group pre-test and post-test design. The participants included 48 elderly individuals who utilized four senior centers, and they received arthritis self-management education for three weeks. Data analysis used a paired t-test to compare the effects before and after education. The results of the study showed that arthritis self-management education significantly increased arthritis-related knowledge (t=9.17, p<0.001) and arthritis-specific self-efficacy (t=3.96, p<0.001). There were significant differences in knowledge and self-efficacy levels by age group, with the results varying among participants aged 85 and above. These findings suggest that a three-week education program is appropriate for improving arthritis-related knowledge and self-efficacy among the elderly, and that education should be tailored to different age groups.

• Korean Journal of Human Ecology
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• v.6 no.1
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• pp.57-66
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• 2003

The purpose of this study was to investigate the housewives' characteristics of household work management. to classify the household work manager styles and to investigate the relationship between the household work manager styles and the family life satisfaction. The data used for statistical analysis is 352 housewives. The data were analyzed by using SPSSWIN Program, $x^2$-test, one-way ANOVA With Duncan's Multiple Range test and t-test were utilized to test null hypotheses. The major findings of this study were as follows : Human centered household work management was more popular than task centered. Family life satisfaction was significantly different depending on the household work manager style. The idel style was concluded as the most desirable manager style.

• Journal of Families and Better Life
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• v.8 no.1
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• pp.143-156
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• 1990

The purposes of this study are to secure the desirable parent-adolescent cohesion, to find out the real parent-adolescent cohesion and to investigate the influences of family structure variables on the parent-adolescent cohesion. The data are obtained from a sample of 364 high school students in Seoul by using questionaires. X2-test, t-test, one-way ANOVA, Scheffe-test, Kruskal-Wallis test and difference of percentages with cross tabulation are used for data analysis. The major findings are as follows : 1) The high parent-adolescent cohesion is found to be desirable. 2) The mother-adolescent cohesion is higher than that of the father-adolescent. 3) The father-son cohesion is influenced by siblings existence, while the mother-son cohesion is influenced by siblings existence and birth order. The father-daughter cohesion is influenced by birth order and difference of age between mother and daughter. However the mother-daughter cohesion is influenced by the presence of the arents and difference of age between mother and daughter. 4) The results discribed in 3) are changed considerably by controlling the open-communication variable.

• Korean Journal of Child Studies
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• v.19 no.2
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• pp.133-146
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• 1998

This study was designed to assess the developmental sequence of children's understanding of social interaction and to test the effects of support conditions and behavioral domains on the understanding of social interaction. The subjects were one hundred 4- to 8-year-old children. The method was a doll play situation, composed of three different support conditions. Scalogram analysis was used to test the developmental sequence, and ANOVA and paired t-test were used to test the significance of differences in stages. The results of this study evidenced a sequential pattern in the 4- to 8-year-old children's understanding of social interaction. There were also significant differences between stages in the understanding of social interaction according to support conditions and behavioral domains. Higher levels of support produced higher stages of understanding and the understanding of positive social interactions were higher than those of negative social interactions at ages 4 and 5.

• International Commerce and Information Review
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• v.10 no.1
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• pp.329-347
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• 2008

The purpose of this study is to examine the causal relationship between the exchange rate and economic growth, and to induce policy implications. In order to test whether time series data is stationary and the model is fitness or not, we put in operation unit root test, cointegration test. And we apply Granger causality based on an error correction model. The results indicate that uni-dierctional causality between exchange rate and economic growth is detected. Exchange rate impacts on economic growth, but economic growth don't impact on exchange rate. The analysis of impulse reaction function shows that the impulse of exchange rate impacts on Korean economic growth in negative direction. We can infer policy suggestion as follows: The fluctuation of exchange rate much affects economic growth, thus we must make a stable policy of exchange rate to continue economic growth.

• Journal of Families and Better Life
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• v.17 no.3
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• pp.145-158
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• 1999

By researching the situation of family ethics and practice that is being conducted in Christical family of Korea we will see what Korean church can do for the Korean family and forming family ethics of Korea. For this purpose survey was conducted from 9th to 21 st of September(1998) 670 people(male and female who are Christian) who have one or more child from 10 churches of Seuol area and 8 churches of Kyunggi province ; frequency percentage mean t-test f-test {{{{ CHI ^2 }} }}-test Scheffe's multiple range test factor analysis. The major findings of this study are as follows; The practicing of christian's family ehics for testees was also cery good. Especially it was prominent in wedding family ethics for testees was also very good. Especially it was prominent in wedding ethics and in education of ethics to children. Among the socio-demographic variables religious background of family and education are prominent variables for the practicing of christian's family ethics.

• Journal of the Korean Home Economics Association
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• v.31 no.1
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• pp.85-95
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• 1993

The purpose of this study was to investigate the relationship between adolescent's attachment on parent and self-concept. The subjects were 271 students in the second grade of the junior high school in Busan. The Inventory of Parent and Peer Attachment scale(IPPA) and the Self-Concept test were used for collecting data. For the statistical analysis of data, t-test, F-test, Scheffe test, Pearson correlation and Regression were used. The results were as follows : 1. There were significant differences in attachment according to socio-demographic variables(sex, parent's age, parent's education, parent's job, income). 2. There were significant differences in self-concept according to socio-demographic variables(sex, parent's age, parent's education, parent's job, income). 3. Adolescent's attachment on parent was significantly correlated with adolescent's self-concept.

• Korean Journal of Radiology
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• v.19 no.6
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• pp.1110-1118
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• 2018

Objective: To perform a meta-analysis to quantitatively assess functional magnetic resonance imaging (MRI) in the diagnosis of locally recurrent prostate cancer. Materials and Methods: A comprehensive search of the PubMed, Embase, Cochrane Central Register of Controlled Trials, and Cochrane Database of Systematic Reviews was conducted from January 1, 1995 to December 31, 2016. Diagnostic accuracy was quantitatively pooled for all studies by using hierarchical logistic regression modeling, including bivariate modeling and hierarchical summary receiver operating characteristic (HSROC) curves (AUCs). The Z test was used to determine whether adding functional MRI to T2-weighted imaging (T2WI) results in significantly increased diagnostic sensitivity and specificity. Results: Meta-analysis of 13 studies involving 826 patients who underwent radical prostatectomy showed a pooled sensitivity and specificity of 91%, and the AUC was 0.96. Meta-analysis of 7 studies involving 329 patients who underwent radiotherapy showed a pooled sensitivity of 80% and specificity of 81%, and the AUC was 0.88. Meta-analysis of 11 studies reporting 1669 sextant biopsies from patients who underwent radiotherapy showed a pooled sensitivity of 54% and specificity of 91%, and the AUC was 0.85. Sensitivity after radiotherapy was significantly higher when diffusion-weighted MRI data were combined with T2WI than when only T2WI results were used. This was true when meta-analysis was performed on a per-patient basis (p = 0.027) or per sextant biopsy (p = 0.046). A similar result was found when $^1H$-magnetic resonance spectroscopy ($^1H$-MRS) data were combined with T2WI and sextant biopsy was the unit of analysis (p = 0.036). Conclusion: Functional MRI data may not strengthen the ability of T2WI to detect locally recurrent prostate cancer in patients who have undergone radical prostatectomy. By contrast, diffusion-weight MRI and $^1H$-MRS data may improve the sensitivity of T2WI for patients who have undergone radiotherapy.

• Journal of the Korean Geosynthetics Society
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• v.23 no.2
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• pp.43-52
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• 2024

Recent abnormal climate conditions have increased the risk of slope collapses, which frequently result in significant loss of life and property due to the absence of early prediction and warning dissemination. In this paper, we develop a slope condition analysis system using IoT sensors and AI-based camera to assess the condition of slopes. To develop the system, we conducted hardware and firmware design for measurement sensors considering the ground conditions of slopes, designed AI-based image analysis algorithms, and developed prediction and warning solutions and systems. We aimed to minimize errors in sensor data through the integration of IoT sensor data and AI camera image analysis, ultimately enhancing the reliability of the data. Additionally, we evaluated the accuracy (reliability) by applying it to actual slopes. As a result, sensor measurement errors were maintained within 0.1°, and the data transmission rate exceeded 95%. Moreover, the AI-based image analysis system demonstrated nighttime partial recognition rates of over 99%, indicating excellent performance even in low-light conditions. Through this research, it is anticipated that the analysis of slope conditions and smart maintenance management in various fields of Social Overhead Capital (SOC) facilities can be applied.