• Journal of Convergence for Information Technology
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• v.9 no.9
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• pp.229-236
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• 2019

This study aims to examine the moderating effect of Extended Song Sharing for helping alcoholics to deal with stress. ESS is structure with non-verbal techniques approaches traditional Song Sharing technique. For this study, 64 alcoholics hospitalized were experimental (n=33) and control groups (n=31). The group was asked to participate in 12 ESS programs twice a week, every 45 minutes for six weeks. During this period, all those who belonged to the experimental and control groups were required to continue to participate in treatment programs prescribed by hospitals. Result: ESS interventional effects on subjects were evaluated using a stress response scale. As a result of the experiment, the WCC score of the experimental group increased 7.3% (p=0.000) but there was almost no change in the control group (1.5% increase, p=0.019). Effects of WCC types were higher in the experimental group, followed by 13.67% (p=0.006) in coping with wishful thinking, 9.66% (p=0.000) in the pursuit of social support, 6.35% (p=0.000) in dealing with problems, and 4% (p=0.000) in coping with emotions. ESS activities have been confirmed to improve the way alcoholics cope with stress.

• Journal of the Korean Society of Radiology
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• v.15 no.4
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• pp.547-554
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• 2021

In order to quickly and accurately diagnose pneumonia on a chest X-ray image, different batch sizes of 4, 8, 16, and 32 were applied to the same Xception deep learning model, and modeling was performed 3 times, respectively. As a result of the performance evaluation of deep learning modeling, in the case of modeling to which batch size 32 was applied, the results of accuracy, loss function value, mean square error, and learning time per epoch showed the best results. And in the accuracy evaluation of the Test Metric, the modeling applied with batch size 8 showed the best results, and the precision evaluation showed excellent results in all batch sizes. In the recall evaluation, modeling applied with batch size 16 showed the best results, and for F1-score, modeling applied with batch size 16 showed the best results. And the AUC score evaluation was the same for all batch sizes. Based on these results, deep learning modeling with batch size 32 showed high accuracy, stable artificial neural network learning, and excellent speed. It is thought that accurate and rapid lesion detection will be possible if a batch size of 32 is applied in an automatic diagnosis study for feature extraction and classification of pneumonia in chest X-ray images using deep learning in the future.

• Journal of the Korean Society of Radiology
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• v.15 no.4
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• pp.473-479
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• 2021

The diagnostic criteria for diffuse thyroid disease are ambiguous and there are many errors due to the subjective diagnosis of experts. Also, studies on ultrasound imaging of thyroid nodules have been actively conducted, but studies on diffuse thyroid disease are insufficient. In this study, features were extracted by applying the GLCM algorithm to ultrasound images of normal and diffuse thyroid disease, and quantitative analysis was performed using the extracted feature values. Using the GLCM algorithm for thyroid ultrasound images of patients diagnosed at W hospital, 199 normal cases, 132 mild cases, and 99 moderate cases, a region of interest (50×50 pixel) was set for a total of 430 images, and Autocorrelation, Sum of squares, sum average, sum variance, cluster prominence, and energy were analyzed using six parameters. As a result, in autocorrelation, sum of squares, sum average, and sum variance four parameters, Normal, Mild, and Moderate were distinguished with a high recognition rate of over 90%. This study is valuable as a criterion for classifying the severity of diffuse thyroid disease in ultrasound images using the GLCM algorithm. By applying these parameters, it is expected that errors due to visual reading can be reduced in the diagnosis of thyroid disease and can be utilized as a secondary means of diagnosing diffuse thyroid disease.

• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.357-367
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• 2021

We aimed to identify personal-interpersonal-social factors influencing Person-Centered Care Competence (PCCC) of senior grade nursing students based on King's dynamic interaction system model. The data were collected using online based questionnaires that contained items on ethical sensitivity, peer group care interaction, interpersonal competence, social support and PCCC. The participants were 242 4th grade nursing students who had undergone clinical practicum. The data were analyzed using descriptive statistics, T-test, ANOVA, Pearson's correlation coefficients, and Multiple regression analysis with the SPSS 26.0. In the multiple regression analysis, interpersonal competence(β=0.42, p<.001) and social support(β=0.29, p<.001) were statistically significant factors that explained 44.1% of PCCC(F=23.77, p<.001). This study is significant in that we identified the factors affecting the Person-centered Care competence based on King's conceptual framework. This study could provide basic data for the development of an intervention program to improve PCCC of senior nursing students.

• The Journal of the Korea Contents Association
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• v.22 no.6
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• pp.400-412
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• 2022

The Accommodational missionary method adopted by the Jesuit missionaries who came to China in the late Ming and early Qing dynasty is called the Accommodation and Naturalization and is based on the Poetry. The terms they borrowed were 'Di(Emperor Above)' and 'Tian(The heaven)', the key terms of Confucianism. Although 'Di' was a new transcendent concept, its status was downgraded in the political upheaval, and 'Tian' was rather elevated. However, both of these concepts gradually transformed into philosophical concepts that directly affect real life. The two terms borrowed to express the priesthood could not contain the uniqueness of Christianity, and Christianity was interpreted as an extension line of Confucianism thinking, reduced to an adjunct of Confucianism, and was not indigenous to the depth of ideology. A rational philosophical inquiry could not have played a full role in guiding the Chinese into the true Christian 'faith' unless it is paired with the great teachings of revelation. It is necessary to analyze these results soberly to find problems and to try various studies to explore ways to open up new horizon for Christian missionary work.

• Journal of the Korean Society of Radiology
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• v.16 no.5
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• pp.595-602
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• 2022

This study tried to suggest the most efficient learning rate for accurate and efficient automatic diagnosis of medical images for chest X-ray pneumonia images using deep learning. After setting the learning rates to 0.1, 0.01, 0.001, and 0.0001 in the Inception V3 deep learning model, respectively, deep learning modeling was performed three times. And the average accuracy and loss function value of verification modeling, and the metric of test modeling were set as performance evaluation indicators, and the performance was compared and evaluated with the average value of three times of the results obtained as a result of performing deep learning modeling. As a result of performance evaluation for deep learning verification modeling performance evaluation and test modeling metric, modeling with a learning rate of 0.001 showed the highest accuracy and excellent performance. For this reason, in this paper, it is recommended to apply a learning rate of 0.001 when classifying the presence or absence of pneumonia on chest X-ray images using a deep learning model. In addition, it was judged that when deep learning modeling through the application of the learning rate presented in this paper could play an auxiliary role in the classification of the presence or absence of pneumonia on chest X-ray images. In the future, if the study of classification for diagnosis and classification of pneumonia using deep learning continues, the contents of this thesis research can be used as basic data, and furthermore, it is expected that it will be helpful in selecting an efficient learning rate in classifying medical images using artificial intelligence.

• Korean Journal of Social Welfare Studies
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• v.40 no.2
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• pp.5-32
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• 2009

The purpose of this study is analyze the pattern and factors affecting the shelter exit and the patterns of homeless women in Korea. For this study, survey data were collected from 139 sheltered homeless women in Seoul in May of 2007. And respondent's exit time and exit pattern from the shelter were investigated through administration data of shelter in December of 2008. Life table analysis, Cox-proportional hazard analysis and competing risk survival analysis were employed in order to analyze data. The major findings were as follows. First, life table analysis shows that the exit ratio of homeless women started to fall sharply in 24 months from entry into shelter. Second, subjective health status, ratio of the homeless in social network and shelter entry with children affected the likelihood of shelter exit of homeless women. Third, age, subjective health status, depression and shelter entry with children affected the likelihood of positive exit. And ratio of the homeless in social network affected the likelihood of negative exit. Based on these findings, this study implied the introduction of case management service concerning individual shelter exit plan and policy for residential stability of homeless women.

• Journal of Christian Education in Korea
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• v.72
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• pp.205-223
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• 2022

This study was conducted to explore whether problem-solving ability mediates the effect of self-directed learning ability on interest level in a distance learning environment. The subjects of this study were 64 students in the Department of Christian Education and Early Childhood Education at A University located in Gyeonggi-do. For this study, data were collected through questionnaires on interest level, self-directed learning ability, and problem-solving ability. Collected data are analyzed using SPSS Macro and bootstrapping method. As a result, self-directed learning ability for interest level has a positive effect on .651 level. The influence of self-directed learning ability in step 2, which includes problem-solving ability, which is a parameter. It was lowered to .543 level. And the effect of problem-solving ability was found to be at .360 level. As a result, it can be judged that problem-solving ability mediates the effect of self-directed learning ability on interest level. The research results suggest that the level of interest can be improved by supporting problem-solving skills in a distance learning environment.

• Journal of Christian Education in Korea
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• v.73
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• pp.55-72
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• 2023

Recently, religious communities have devised multiple practical training programs for spiritual formation and direction. In this study, we define Christian spiritual formation as a lifelong journey of growing, progressing, increasing and strengthening toward wholeness in the image of Christ. In dialogue with J. Edwards' theology of spiritual sense, this essay suggests three major points of holistic spiritual formation in depth: first, spiritual Formation is a process; second, spiritual formation should attend to the balance between God's Initiative and Human Agency; third, holistic spiritual formation is a process to seek God-self. Spiritual formation is not a static status acquired by several techniques, methods or programs. It is a formative process through which one prepares to comprehend divine love and purpose. Spiritual formation is a dynamic process to respond to the One who shapes our life path with increasing faithfulness. Holistic comprehension of Christian spiritual formation will assist postmodern people to find meaning, value, purpose, and identity through deeper experiences with God in the midst of the fragmented and troubled world, so that they could restore wholeness in the image of God.

• 한국노년학
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• v.30 no.3
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• pp.815-830
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• 2010

This study is a nonequivalent control group pretest-posttest study to determine the effects of a make up program on the self-esteem and anxiety of the elderly female dementia patients. This research was done between April 13th and May 1st, 2009. The subjects were 41 dementia patients in an elderly hospital in Honam Area. Twenty dementia patients in the experimental group got the make up measures during the two week experimental period and twenty one dementia patients in the contrast group didn't get any measure during the two week period. Make up measures were given to the experimental group 10 times for the two week period. This study used the self-esteemscale which was developed by Rosenberg(1965) and was translated and modified by Jeon Pyung Je(1974) into Korean. The anxiety status scale which this study used was developed by Spielberger(1970) and was translated and modified by Kim Jeong Taek(1991) into Korean. Collected data were analyzed with SPSS Win 12.0. T-test and multivariate analysis were done to test the hypothesis. This study also used a method of observation. The results of this study are following. After the two week make up measures, the experimental group had more self esteem and less anxiety status than the contrast group. The differences were statistically significant. The result of the observation also supported the research hypothesis. Based on this result, we suggest the make up program as an appropriate and useful nursing care intervention program for female dementia patients.