• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.498-508
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• 2020

This study was a descriptive research study performed to identify the degree and correlation of variables and also explain the factors that influence self-efficacy of diabetes management. The participants were 150 diabetes patients who visited a primary medical institution in K city in Korea from September 17, 2015, to October 15, 2015. The data were analyzed using descriptive statistics, t-tests, ANOVA, Pearson correlation coefficients, and multiple regression with SPSS 18.0. Significant differences in age and education were detected in self-efficacy of diabetes management according to general characteristics. The levels of self-management knowledge and diabetes management self-efficacy were shown to be positively correlated. The levels of diabetes management self-efficacy and distress as well as levels of self-management knowledge and distress were shown to be negatively correlated. The significant factors influencing diabetes management self-efficacy were distress and self-management knowledge. The results suggest that appropriate diabetes management self-efficacy programs should be provided in order to improve self-management knowledge and decrease distress in type 2 diabetes patients. This study provides basic data to promote the effective education and development of arbitration in order to enhance self-efficacy of diabetes management.

• Women's Health Nursing
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• v.13 no.4
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• pp.254-261
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• 2007

Objective: This survey assessed the prevalence and type of sexual dysfunction in middle-aged women regarding sexually related personal distress and examined the prevalence of perceived sexual dysfunction and perceived partners' dysfunction by women. Methods: One-hundred ten healthy community-based middle-aged women participated voluntarily, and validated questionnaires of the Female Sexual Function Index(FSFI) and the Female Sexual Distress Score(FSDS) were used. Results: The percentage of women having sexual dysfunction and sexual distress were 67% and 32% respectively according to the cut-off of FSFI and FSDS. The average score of FSFI was 23.5(s.d.=5.7), which was lower than the cut-off of FSFI, while the average score of FSDS was 13.2, which was in range of a normal score. When considering the two concepts simultaneously, the women were categorized into 4 groups: sexually stressed dysfunction group (24.8%), sexually depressed group(42.2%), sexually healthy group(25.7%), and sexually hyperactive group (7.3%). The percentage of women reporting sexual problems was 24.3%, while the percentage of women reporting sexual dysfunction in their partner was 29.9%. Conclusions: The results indicate a high rate of sexual dysfunction and sexual distress in middle-aged women. However, considering the relationships between sexual dysfunction and sexual distress, almost two thirds were in the sexually depressed group among the women having sexual dysfunction.

• Korean Journal of Biological Psychiatry
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• v.21 no.4
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• pp.141-150
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• 2014

Objectives The purpose of this study is to evaluate the effects of attachment security, social support and health-related burden in the prediction of psychological distress and the mediation effects of social support and health-related burden in relationship between attachment security and psychological distress. Methods Finally, 161 patients were included for the analysis. Chi-square test and independent samples t-test were used for comparing differences between depressive/anxious group and non-depressive/non-anxious group. For evaluating the relationship among attachment security, social support, psychological distress and health-related burden, structural equation modeling analysis were performed. Results 40.7% and 32.0% of the patients have significant depressive symptoms and anxiety symptoms, respectively. In the analysis for testing the differences between groups who have psychological distress and who have not, there were no significant differences of sociodemographic factors and medical characteristics between groups, except for association between depressive symptoms and type of surgery (p = 0.01). Contrary to sociodemographic and medical characteristics, there were significant differences of health-related burden and two coping resources (attachment security and social support) between groups (all p < 0.01), except for the support from medical team in between anxious group and non-anxious group (p = 0.20). In the structural equation model analysis (Model fit : chi-square/df ratio = 0.8, root mean square error of approximation = 0.000, comparative fit index = 1.000, non-normed fit index =0.991), attachment security and social support emerged as an important predictor of psychopathology. Conclusions Attachment security and social support are important factors affecting the psychological distress. We suggest that individual attachment style and the social support state must be considered to approach the newly diagnosed breast cancer patients with psychological distress.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.67-74
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• 2021

This study aims to examine and analyze the effect of Risk Profile, Good Corporate Governance (GCG), Earnings, Capital (RGEC), and Earnings per Share (EPS) on stock prices with financial distress as an intervening variable. The sampling technique used purposive sampling based on certain criteria and data used was secondary data, that is, annual reports of commercial banks in Indonesia for the period of 2012-2018 with a sample of 23 banks from a total population of 81 banks. This type of research is explanative with a quantitative descriptive approach to describe or explain quantitative data. The data obtained was analyzed using SEM (Structural Equation Model) with the AMOS Program. The results showed that RGEC, EPS, and financial distress affect stock prices. This is based on testing the direct effect as indicated by a p-value that is smaller than 0.05. Based on the mediation test, the results show that financial distress cannot mediate the effect of RGEC and EPS on stock prices as indicated by a p-value greater than 0.05. The implication of this research is very important for investors to analyze stock price changes based on RGEC, EPS, and financial distress to gain profits. In addition, there are various warning signs indicating that a company is experiencing financial distress or it is heading towards such a state. Being aware of these signs can help prevent failure.

• Journal of the Korean Home Economics Association
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• v.27 no.1
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• pp.165-179
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• 1989

The purpose of this study is to examine the difference between wife and husband in the level of stress recognition and distress subsequent to the life events, and thus 5 kinds of study questions have been established for the achievement of this purpose. Data were obtained from 371 couples who resided in Seoul through Likert-Type questionaire, and Frequency, Percentage, Mean, T-Test, One Way ANOVA, Pearson ${\gamma}$ Correlation, Multiple Regression, Cronbach ${\alpha}$ Coefficient were calculated. As the result of this studay, the experiences subsequent to life events, the level stress recognition and distress was different from wife and husband, and it was generally shown that those are higher for wife rather than husband.

• Clinical and Experimental Pediatrics
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• v.51 no.8
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• pp.892-895
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• 2008

H-type tracheoesophageal fistula (TEF) is extremely rare in infants and children, and clinical manifestations of this condition are diverse based on its severity. Some cases of congenital TEF diagnosed in adulthood have been reported, which indicate the difficulty of early diagnosis of this disease. Gastroesophageal reflux (GER) may induce chronic aspiration, pulmonary aspiration, apparent life-threatening events, and failure to thrive. We report a 5-month-old boy whose recurrent pneumonia and wheezing did not improve under usual treatment and led to acute respiratory distress syndrome. He was found to have severe GER on the second-trial of the esophagogram and was eventually revealed to have congenital H-type TEF upon repeated evaluation.

• International Journal of Highway Engineering
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• v.20 no.3
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• pp.27-37
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• 2018

PURPOSES : The objective of this study is to develop a pavement rehabilitation decision tree considering current pavement condition by evaluating severity and distress types such as roughness, cracking and rutting. METHODS : To improve the proposed overall rehabilitation decision tree, current decision tree from Korea and decision trees from other countries were summarized and investigated. The problem when applying the current rehabilitation method obtained from the decision tree applied in Seoul was further analyzed. It was found that the current decision trees do not consider different distress characteristics such as crack type, road types and functions. Because of this, different distress values for IRI, crack rate and plastic deformation was added to the proposed decision tree to properly recommend appropriate pavement rehabilitation. Utilizing the 2017 Seoul pavement management system data and considering all factors as discussed, the proposed overall decision tree was revised and improved. RESULTS :In this study, the type of crack was included to the decision tree. Meanwhile current design thickness and special asphalt mixture were studied and improved to be applied on different pavement condition. In addition, the improved decision tree was incorporated with the Seoul asphalt overlay design program. In the case of Seoul's rehabilitation budget, rehabilitation budget can be optimized if a 25mm milling and overlay thickness is used. CONCLUSIONS:A practical and theoretical evaluation tool in pavement rehabilitation design was presented and proposed for Seoul City.

• International Journal of Highway Engineering
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• v.14 no.3
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• pp.59-67
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• 2012

This study presents the evaluation of the patching materials that are used to repair the distress of asphalt pavement. Four kinds of patching materials currently used in practice were tested in both laboratory and field. The laboratory tests included the dry and soaked Marshall stability test, indirect tensile test, wheel tracking test and adhesive strength between the asphalt pavement and the repairing material was tested as a performance test. The field study was conducted using the slab samples placed on the location of vehicle tire passing and the performance of the repairing materials were investigated as passing the traffic load. The result of the laboratory tests were satisfied with the current design criteria and material standard except for water-immersion stability. Type C patching material showed the highest adhesive shear strength among the patching materials tested. However, the mature distress, such as rutting and stripping were monitored after construction in 10 days. It was found that performance of patching material is lack of quality behavior when they were applied in the field and required to develop and applu to prevent the mature distress of the current patching materials.

• Journal of Intelligence and Information Systems
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• v.21 no.4
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• pp.111-131
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• 2015

There are only a handful number of research conducted on pattern analysis of corporate distress as compared with research for bankruptcy prediction. The few that exists mainly focus on audited firms because financial data collection is easier for these firms. But in reality, corporate financial distress is a far more common and critical phenomenon for non-audited firms which are mainly comprised of small and medium sized firms. The purpose of this paper is to classify non-audited firms under distress according to their financial ratio using data mining; Self-Organizing Map (SOM). SOM is a type of artificial neural network that is trained using unsupervised learning to produce a lower dimensional discretized representation of the input space of the training samples, called a map. SOM is different from other artificial neural networks as it applies competitive learning as opposed to error-correction learning such as backpropagation with gradient descent, and in the sense that it uses a neighborhood function to preserve the topological properties of the input space. It is one of the popular and successful clustering algorithm. In this study, we classify types of financial distress firms, specially, non-audited firms. In the empirical test, we collect 10 financial ratios of 100 non-audited firms under distress in 2004 for the previous two years (2002 and 2003). Using these financial ratios and the SOM algorithm, five distinct patterns were distinguished. In pattern 1, financial distress was very serious in almost all financial ratios. 12% of the firms are included in these patterns. In pattern 2, financial distress was weak in almost financial ratios. 14% of the firms are included in pattern 2. In pattern 3, growth ratio was the worst among all patterns. It is speculated that the firms of this pattern may be under distress due to severe competition in their industries. Approximately 30% of the firms fell into this group. In pattern 4, the growth ratio was higher than any other pattern but the cash ratio and profitability ratio were not at the level of the growth ratio. It is concluded that the firms of this pattern were under distress in pursuit of expanding their business. About 25% of the firms were in this pattern. Last, pattern 5 encompassed very solvent firms. Perhaps firms of this pattern were distressed due to a bad short-term strategic decision or due to problems with the enterpriser of the firms. Approximately 18% of the firms were under this pattern. This study has the academic and empirical contribution. In the perspectives of the academic contribution, non-audited companies that tend to be easily bankrupt and have the unstructured or easily manipulated financial data are classified by the data mining technology (Self-Organizing Map) rather than big sized audited firms that have the well prepared and reliable financial data. In the perspectives of the empirical one, even though the financial data of the non-audited firms are conducted to analyze, it is useful for find out the first order symptom of financial distress, which makes us to forecast the prediction of bankruptcy of the firms and to manage the early warning and alert signal. These are the academic and empirical contribution of this study. The limitation of this research is to analyze only 100 corporates due to the difficulty of collecting the financial data of the non-audited firms, which make us to be hard to proceed to the analysis by the category or size difference. Also, non-financial qualitative data is crucial for the analysis of bankruptcy. Thus, the non-financial qualitative factor is taken into account for the next study. This study sheds some light on the non-audited small and medium sized firms' distress prediction in the future.

• 한국노년학
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• v.34 no.2
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• pp.229-246
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• 2014

The purpose of this study was to identify differences in the personality type, diabetes-related distress, and diabetes self-management among older adults with type 2 diabetes. The data of 180 older adults was collected at S Senior Center from between August 14 and October 14, 2012. There were significant differences in self-management between individual personality types(p<.001). The self-management level was lower in the dominance personality type than in the steadiness and conscientiousness types. In particular, foot care subunit self-management was significantly lower in the dominance personality than in the other personality types(p<.001). Moreover, dominance personality was the most important factors influencing diabetes self-management negatively. Using hypoglycemic agent and drinking also influence on diabetes self-management negatively(modified R²=16%). Therefore, when we provide intervention to the older adults with type 2 diabetes, we should consider their personality type and check whether using hypoglycemic agent and drinking alcohol or not. Furthermore, we need to develop intervention program focus on the older adults with dominance personality type, using hypoglycemic agent and having drinking behavior.