• Journal of the Korean Regional Science Association
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• v.34 no.4
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• pp.35-48
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• 2018

The purpose of this study is to empirically investigate the experiences and subjective opinions of urban agriculture in order to explore ways to vitalize urban agriculture. More specifically, we divides environmental value into three categories of ecology, landscape, and participation, and defines a function of urban agriculture to improve environmental values related to the three categories mentioned above. The main results of the empirical analysis using the survey data are summarized as follows. First, the probability of gathering information about urban agriculture is higher in metropolitan cities than small cities, and the larger the residence size, the higher the probability of actual urban agriculture participation. Second, the positive response rate was high for the three categories of urban agriculture, while the negative response rate was high for the surrounding environment. The implications derived from the analysis are as follows. First, the opposite results of experiences of urban agriculture suggests that local governments should further promote urban agriculture-based investment policies. In addition, these policies need to be preceded by analysis of the characteristics of population groups in the region Also, it is necessary to improve the environment through urban agriculture.

• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.316-322
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• 2019

The purpose of this study is to investigate the opinions of non-health science college students of Korean dental hygienists in the category of medical personnel. A self-reported questionnaire was conducted on 265 non-health science major students without information about a health and medical service personnel. The collected data were analyzed using frequency, percentage, descriptive statistics, chi squared and multinomial logistic regression analysis. About 40% of the respondents answered that dental hygienists should be medical personnel, while 17.7% think that they should not distinguish health and medical service personnel between medical personnel and medical service technologist. As the respondents' oral health management ability improved, they approves the Korean dental hygienists in the category of medical personnel(p=.022). As the longer the period of dental regular visits, they answered that dental hygienists should be medical service technologist. Presence or absence of dental regular visits, scaling experience, oral health education did not no significant difference on the opinions of Korean dental hygienists in the category of medical personnel of the pros and cons. This study can be used as a basic data for establishing the policy of medical personnel for dental hygienists.

• Archives of Plastic Surgery
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• v.46 no.4
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• pp.336-343
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• 2019

Background Sternal rigid plate fixation (RPF) has been adopted in recent years in high-risk cases to reduce complications associated with steel wire cerclage, the traditional approach to sternal closure. While sternal RPF has been associated with lower complication rates than wire cerclage, it has its own complication profile that requires evaluation, necessitating a critical examination from a national perspective. This study will report the outcomes and associated risk factors of sternal RPF using a national database. Methods Patients undergoing sternal RPF from 2005 to 2016 in the American College of Surgeons-National Surgical Quality Improvement Program were identified. Demographics, perioperative information, and complication rates were reviewed. Logistic regression analysis was performed to identify risk factors for postoperative complications. Results There were 381 patient cases of RPF identified. The most common complications included bleeding (28.9%), mechanical ventilation >48 hours (16.5%), and reoperation/readmission (15.2%). Top risk factors for complications included dyspnea (odds ratio [OR], 2.672; P<0.001), nonelective procedure (OR, 2.164; P=0.010), congestive heart failure (OR, 2.152; P=0.048), open wound (OR, 1.977; P=0.024), and operating time (OR, 1.005; P<0.001). Conclusions Sternal RPF is associated with increased rates of three primary complications: blood loss requiring transfusion, ventilation >48 hours, and reoperation/readmission, each of which affected over 15% of the study population. Smokers remain at an increased risk for surgical site infection and sternal dehiscence despite RPF's purported benefit to minimize these outcomes. Complications of primary versus delayed sternal RPF are roughly equivalent, but individual patients may perform better with one versus the other based on identified risk factors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.6
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• pp.278-287
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• 2019

This study was conducted to identify the predictors influencing fear of falling in community-dewelling elderly. A secondary data analysis was performed using data of 65 years or older elderly who participating in the 2014 Korean Elderly Survey(Jun. 11th ~ Sep. 4th 2014). Multivariated logistic regression analysis was used to identify the risk factors of fear of falling. 81.5% of the elderly had fear of falling. There were significant factors, sex(OR=2.87, p<.001), education(OR=1.73, p<.001), presence of cohabiting spouse(OR=1.19, p<.001), experience of falling(OR=6.35, p<.001), arthritis(OR=1.83, p<.001), depression(OR=2.25, p<.001), cognitive deficit (OR=1.24, p<.001), instrumental activities of daily living (OR=1.98, p<.001), exercise(OR=1.29, p<.001) and the number of chronic diseases(over 3: OR=2.53, p<.001, 1~2: OR=1.73, p<.001), predicting fear of falling in community-dwelling elderly. Fear of falling was associated with multifactorial condition, and arthritis was an important factor in chronic disease. This study will provide fundamental information on programming and a policy proposal related to fear of falling.

• The Journal of the Korea Contents Association
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• v.19 no.1
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• pp.339-349
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• 2019

The purpose of this study is to analyze the influential factors on the change in life satisfaction of elderly households. In this study, single and couple elderly households were defined as elderly households and the 2nd, 3rd, and 4th data of the Korean Longitudinal Survey of Ageing (KLoSA) provided by the Korea Employment Information Service (KEIS) were used. And 677 respondents aged 65 and over who had replied to all 3 sessions were included in the final subjects. multinomial logistic regression analysis was conducted to examine the influential factors on life satisfaction by the type of elderly households according to consumption pattern and the result showed that there were common influential factors such as house owning status and subjective health status and the factors that influence specific types such as expectancy of standard of living. In addition, in the longitudinal analysis of life satisfaction of elderly households, individual satisfaction level was confirmed to reduce with time and the factors that influence the longitudinal change in the level of life satisfaction of elderly households was analyzed through the conditional model of a latent growth model. The analysis results showed that household type, house owning status, and subjective health status influenced the initial value of life satisfaction of elderly households while household type and expectancy of living standard influenced the change rate of life satisfaction of elderly households. Based on the results of this study, the followings are suggested. There is a need to improve the life satisfaction of old age by increasing the opportunity for self-realization of elderly households and also policy approach should be made selectively taking various types into consideration.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.107-117
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• 2019

In the era of SNS, many people relies on it to express their emotions about various kinds of products and services. Therefore, for the companies eagerly seeking to investigate how their products and services are perceived in the market, emotion mining tasks using dataset from SNSs become important much more than ever. Basically, emotion mining is a branch of sentiment analysis which is based on BOW (bag-of-words) and TF-IDF. However, there are few studies on the emotion mining which adopt feature selection (FS) methods to look for optimal set of features ensuring better results. In this sense, this study aims to propose FS methods to conduct emotion mining tasks more effectively with better outcomes. This study uses Twitter and SemEval2007 dataset for the sake of emotion mining experiments. We applied three FS methods such as CFS (Correlation based FS), IG (Information Gain), and ReliefF. Emotion mining results were obtained from applying the selected features to nine classifiers. When applying DT (decision tree) to Tweet dataset, accuracy increases with CFS, IG, and ReliefF methods. When applying LR (logistic regression) to SemEval2007 dataset, accuracy increases with ReliefF method.

• Journal of Digital Convergence
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• v.17 no.5
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• pp.137-143
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• 2019

Fake news is a form of misinformation that has the advantage of rapid spreading of information on media platforms that users interact with, such as social media. There has been a lot of social problems due to the recent increase in fake news. In this paper, we propose a method to detect such false news. Previous research on fake news detection mainly focused on text analysis. This research focuses on a network where social media news spreads, generates qualities with DeepWalk, a network embedding method, and classifies fake news using logistic regression analysis. We conducted an experiment on fake news detection using 211 news on the Internet and 1.2 million news diffusion network data. The results show that the accuracy of false network detection using network embedding is 10.6% higher than that of text analysis. In addition, fake news detection, which combines text analysis and network embedding, does not show an increase in accuracy over network embedding. The results of this study can be effectively applied to the detection of fake news that organizations spread online.

• The Journal of Korean Obstetrics and Gynecology
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• v.32 no.2
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• pp.29-49
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• 2019

Objectives: This study was a methodological study to verify the reliability and validity and to make a diagnosis of a diagnostic tool for climacteric and postmenopausal syndrome pattern identification (CaPSPI). Methods: This study was conducted from June 1, 2018 to October 18, 2018 with ${{\bigcirc}{\bigcirc}}$ University Korean Medicine Hospital IRB's approval (2018-3). To make a diagnosis using CaPSPI, we decided the cut-points for the tool. Three professors of ${{\bigcirc}{\bigcirc}}$Korean Medical University conducted pattern identification diagnosis. The result is marked from 0 to 3, 0 is 'No', 1 is 'Slightly Yes', 2 is 'Yes' and 3 is 'Very Yes'. And if two or more professors' diagnoses are the same, we took the diagnoses as a diagnostic criteria. The decision of pattern by three experts converted to 0-1 scores in two ways. In "method 1", if the diagnosis was zero points, the score was 0 (have no such identification), and the rest was 1 (have such identification). In "method 2", if the diagnosis was zero or 1 point, the score was 0, and the rest was 1. After that, intraclass correlation was calculated for experts agreement. And logistic regression was conducted. A response variable was the results of the experts' diagnosis and an explanatory variable was the results of the pattern identification diagnostic tool. Results: The diagnosis of the three experts showed excellent concordance of more than 0.794 and showed a significant correlation with the diagnostic tool. Both 'Method 1' and 'Method 2' showed statistically significant effects with the diagnosis of 3 experts and the results of the diagnostic tool. The frequency of cumulative pattern identification diagnosis in 'Method 1' and 'Method 2' were found to be 578 occasions and 203 occasions, respectively. The average number of pattern held by participants in 'Method 1' and 'Method 2' were found to be 5.26 and 1.85, respectively. In both "Method 1" and "Method 2," the yield frequency of liver qi depression was the highest, and the frequency of kidney yin deficiency and liver-kidney yin deficiency was relatively high. Conclusions: Based on the above results, it is thought that, in diagnosis using CaPSPI of menopausal women, 'method 1' could be used for the health diagnosis and prevention, 'method 2' could be used for the pattern diagnosis. On the conclusion, CaPSPI is thought to be available for pattern diagnosis of menopause women.

• Journal of Convergence for Information Technology
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• v.9 no.5
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• pp.65-76
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• 2019

The purpose of this study was to investigate breast cancer its menopause in South Korean adult women using data from the seventh Korea national health and nutrition examination survey(KNHANES VII-2) 2017. The subjects were 3,414 people in total. The Data were analyzed by frequency, ${\chi}^2$ test and multiple logistic regression analysis using SPSS complex samples Win 25 program. According to the age of the subjects, breast cancer was 1.7% higher in women aged 50~59 years than aged 40~49 years, and 1.7% was significantly more frequent in women who had no drinking frequency than in almost everyday. Menopausal age was significantly higher in women under 44 years of age with breast cancer than in those over 50 years of age. According to menopause, postmenopausal breast cancer was 1.7% more than before menopause. When adjusted for age and alcohol drinking frequency, premenopausal adult women in Korea had significantly lower breast cancer frequency by 0.03 compared with postmenopausal women. Based on these results, it is important to pay attention to the management of breast cancer in young women aged 44 years or younger and multidisciplinary efforts are needed to reduce the ever-increasing prevalence of breast cancer.

• Journal of the Korean society of biological therapies in psychiatry
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• v.24 no.3
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• pp.184-193
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• 2018

Objectives : This study investigated the effects of social support and chronic medical conditions on depressive symptoms in elderly people living alone in a rural community. Methods : Sociodemographic information on 173 subjects aged 65 years or older who lived alone in a rural community and were recipients of National Basic Livelihood Security was collected and analyzed. All participants completed the Korean Form of the Geriatric Depression Scale and the Lubben Social Network Scale. Additionally, the current prevalence of chronic medical conditions that interfere with the activities of daily living was examined. Multiple logistic regression analysis was conducted to analyze the associations of social support and chronic medical conditions with depressive symptoms. Results : Social support(odds ratio: OR, 0.96; 95% confidence interval: 95% CI, 0.92-0.99) and chronic medical conditions(OR, 1.59; 95% CI, 1.23-2.05) were significantly associated with depressive symptoms in all subjects. When analyzed by gender, social support served as a protective factor against depressive symptoms in elderly men only(OR, 0.91; 95% CI, 0.83-0.99), and chronic medical conditions increased the risk of depressive symptoms in elderly women only(OR, 1.74; 95% CI, 1.26-2.40). Furthermore, osteoarthritis and lumbar pain were risk factors for depressive symptoms in all subjects(OR, 2.24; 95% CI, 1.10-4.56 and OR, 2.10; 95% CI, 1.08-4.12) and in elderly women(OR, 4.07; 95% CI, 1.68-9.84 and OR, 3.34; 95% CI, 1.47-7.57), respectively. Conclusion : This study indicates that improving the social support and managing the chronic medical conditions of elderly people living alone are important for the prevention of depression in this population. Additionally, the present results suggest that it is necessary to establish different depression-prevention strategies for elderly men and women living alone.