• Korean Journal of Social Welfare Studies
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• v.41 no.4
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• pp.135-160
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• 2010

This study was designed to analyze, by using a hierarchical logistic regression analysis method, how difficulties in business start-ups and personal characteristics independently determine the utilization of micro-enterprise support services. The services were categorized into eight areas: capital, technical service, psychological service, item feasibility and business plan, site selection and interior service, marketing, finance and accounting, employment service. This study found that difficulties in business start-ups were a significant factor in six areas. Personal characteristics were a significant factor in four areas, when difficulties in start-ups were controlled. Among the personal characteristics, higher possibility of service utilization was anticipated in people with start-ups experience than people without experience, and in women than men. This results point out that service strategies should be targeted for people with difficulties in order to improve the accessibility of micro-enterprises support services. The results also indicate that the strategies should be considered for people with no start-ups experience, low academic ability, and female entrepreneurs who are vulnerable.

• Journal of Navigation and Port Research
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• v.29 no.6 s.102
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• pp.501-508
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• 2005

The purpose of this paper is to present the alternatives for improving coostal shipping logistics system to be a logistic hub-nation with a competitive edge. For this purpose, major environmental factors in Northeast Asia and accordingly its effects are analyzed And then the effects of coastal shipping system's development strategy is analysed using Structural Equation Model and Multiple Regression Model. Research results show that three types of coastal shipping development strategy( connected transportation system, structure of coastal shipping system, governmental support policy) will contribute much to being a logistics hub-nation. From the results, some implications are derived as follows. Firstly, environmental-friendly balanced ocean-coastal transport system is required Secondly, a excusive feeder port, Ro-Ro ship & high-speed ship are necessary to establish the one-stop logistics service system Finally, governmental support policy and subsidy(tax-exempted oil & various tax benefits) are required to reactivate lagged coastal shipping system to be a logistic hub-nation with a competitive edge.

• Journal of the Korea Convergence Society
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• v.6 no.6
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• pp.27-34
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• 2015

Abstract The purpose of this study is to analyze the changes in job satisfaction and turnover intention according to the level of Emotional labor and the mediating effect in dental hygienists. Higher levels of emotional labor resulted in lower levels of job satisfaction, as well as higher levels of turnover intention. We used the logistic regression analysis to compare change of job satisfaction, turnover intention according to the level of emotional labor. In logistic regression analyses, social support was the largest mediating factor between emotional labor and job satisfaction and the odds(Likely to with low job satisfaction) was down by 16% after adjustment for supervisor, colleague. In case of turnover intention, largest mediating factor were drinking, physical condition, supervisor, colleague and the odds(Likely to with high turnover intention) was down by 52% after adjustment for mediating factors. The results of this study were as follows. Emotional labor was negatively impact on job satisfaction and turnover intention. To increase the job satisfaction and lower the turnover intention, it is necessary to do more efforts to improve social support(supervisor and colleague) and management personal factor(drinking, physical condition) for the dental hygienists should be made to reduce such negative effects.

• Child Health Nursing Research
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• v.20 no.2
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• pp.87-95
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• 2014

Purpose: This study was done to investigate the point prevalence of postpartum depression and its predictors during early postpartum in mother of preterm infants. Methods: Participants were 101 women, 2-3 weeks after delivery whose preterm babies were hospitalized in a neonatal intensive care unit. Data were collected from June 2010 to January 2011. The instruments included 'Edinburgh Postnatal Depression Scale', 'Prenatal depression', 'Subjective health status of infant', 'Medical staff support', and 'Husband support'. Collected data were analyzed using t-test, ${\chi}^2$-test, and multiple logistic regression with SPSS/WIN version 18.0. Results: The point prevalence was 86.1% that postpartum depression occurred during the early postpartum period in mothers of preterm infants. Three significant predictors of postpartum depression in mothers of preterm infants were identified; 'Type of delivery (OR, 5.57; 95% CI, 1.25-24.77)', 'Subjective health status of infant (OR, 0.34; 95% CI, 0.16-0.70)', and 'Medical staff support (OR, 0.52; 95% CI, 0.28-0.97)'. Conclusion: The results indicate that postpartum mothers should be screened for postpartum depression early in the postpartum period and that, medical personnel should pay particular attention to mothers with a caesarean section and should help mothers of preterm babies to develop positive perceptions of their babies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.11
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• pp.126-136
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• 2018

The purpose of this study was to develop a severity-adjustment model for predicting mortality in acute stroke patients using machine learning. Using the Korean National Hospital Discharge In-depth Injury Survey from 2006 to 2015, the study population with disease code I60-I63 (KCD 7) were extracted for further analysis. Three tools were used for the severity-adjustment of comorbidity: the Charlson Comorbidity Index (CCI), the Elixhauser comorbidity index (ECI), and the Clinical Classification Software (CCS). The severity-adjustment models for mortality prediction in patients with acute stroke were developed using logistic regression, decision tree, neural network, and support vector machine methods. The most common comorbid disease in stroke patients were hypertension, uncomplicated (43.8%) in the ECI, and essential hypertension (43.9%) in the CCS. Among the CCI, ECI, and CCS, CCS had the highest AUC value. CCS was confirmed as the best severity correction tool. In addition, the AUC values for variables of CCS including main diagnosis, gender, age, hospitalization route, and existence of surgery were 0.808 for the logistic regression analysis, 0.785 for the decision tree, 0.809 for the neural network and 0.830 for the support vector machine. Therefore, the best predictive power was achieved by the support vector machine technique. The results of this study can be used in the establishment of health policy in the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.6
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• pp.362-369
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• 2019

This descriptive study investigated depression among 4,904 elderly people aged 60 to 90 years using the Korean Retirement and Income Study. The depressive group and non-depressive group were classified by the depression self-diagnostic scale, CES-D. The effects of general characteristics, disability, disability type, IADL, and social support on depression were examined. A t-test, chi-squared test, and logistic regression analysis were used to identify risk factors affecting depression. The average age of the depressive group was 75.10 years, which was higher than the average age of the non-depressive group (73.44 years), indicating that depression increased with age. Elderly who were female, elderly with no spouse, elderly with lower educational attainment and with a lower household income were in the depressed group. The score to perform IADL of disabled persons was higher than that of non-disabled persons, and the social support was lower. Logistic regression analysis performed to determine the risk factors affecting depression revealed that it was affected by disability and type of disability. Although this study has some limitations, the results presented herein can be used as a basis for understanding elderly with disabilities and developing future healthcare programs for them.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.4
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• pp.173-178
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• 2023

As Korean literature spreads around the world, its position in the overseas publishing market has become important. As demand in the overseas publishing market continues to grow, it is essential to predict future book sales and analyze the characteristics of books that have been highly favored by overseas readers in the past. In this study, we proposed ensemble learning based prediction model and analyzed characteristics of the cumulative sales of more than 5,000 copies classified as good sellers published overseas over the past 5 years. We applied the five ensemble learning models, i.e., XGBoost, Gradient Boosting, Adaboost, LightGBM, and Random Forest, and compared them with other machine learning algorithms, i.e., Support Vector Machine, Logistic Regression, and Deep Learning. Our experimental results showed that the ensemble algorithm outperforms other approaches in troubleshooting imbalanced data. In particular, the LightGBM model obtained an AUC value of 99.86% which is the best prediction performance. Among the features used for prediction, the most important feature is the author's number of overseas publications, and the second important feature is publication in countries with the largest publication market size. The number of evaluation participants is also an important feature. In addition, text mining was performed on the four book reviews that sold the most among good-selling books. Many reviews were interested in stories, characters, and writers and it seems that support for translation is needed as many of the keywords of "translation" appear in low-rated reviews.

• Journal of Preventive Medicine and Public Health
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• v.32 no.4
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• pp.505-512
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• 1999

Objectives : The purpose of this study was to assess the relationship between job strains and absenteeism from work. Methods : The study design was cross-sectional, and the study subjects consisted of 1,166 workers who were employed in the small-sized industries. A self administered questionnaire was used to measure the general characteristics, job characteristics(job demand, job control), and social support(coworker support, supervisor support) at work. The Job Content Questionnaire(JCQ) was used to assess job demand(2 items) and decision lattitude(10 items). Social support at work (10 items) was measured using JCQ. Sick absence was collected using self-report and were rechecked by the attendance record of their company. Odds ratios and 95% confidence intervals for the association between job strain and sick absence were estimated. The modifying effect of social support was evaluated by stratification. Logistic regression was used to estimate the relationship between job strain and sick absence. Results : In the bivariate analysis, the variables related to sick absence were age, marital status, occupation, job demand. Four distinctly different kinds of level of job strain were generated by the combination of job demand and job control: low strain group, high strain group, active group, and passive group. The crude odds ratio of high job strain was 1.78(95% CI: 1.26-2.53), and those of active group and passive group were 1.33(95% CI: 1.07-1.66) and 1.13 (95% CI: 0.88-1.47), respectively. The odds ratio of high job strain after adjusting for age and occupation were still significant The odds ratio of high job strain in low social support was 5.96(95% CI: 2.45-14.51), but that in high social support was 0.73(95% CI: 0.26-2.01). Conclusions : Job strain was associated with increased risk of absenteeism from work, and social support at work modified the association between job strain and sick absence.

• Korean Journal of Community Nutrition
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• v.2 no.4
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• pp.496-504
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• 1997

The purpose of this study was to investigate the dietary intake, obesity index and psychosocial factors influencing obesity among 200 high school girls in Seoul. The Social Cognitive Theory provided the Conceptual basis for this study. A cross-sectional survey was conducted to examine factors related to obesity, including self-efficacy for controlling overeating, social support for eating behavior, perception of body image and weight control, nutrition knowledge, and attitudes toward obesity. The data were analyzed using t-test and multiple logistic regression. The results of this study are as follows : 1) The mean age of the girls was 16.4 years, and the rate of overweight and obesity(measured by obesity index) was 27.0$\%$. 2) The mean energy intake of subjects was 1832.3$\pm$384.0kcal. The energy derived from carbohydrates, proteins and fats was 62.7$\%$, 13.8$\%$, and 23.5$\%$, respectively. There was no significant difference between the obese and the comparison group in energy intake. 3) The result of multivariate analysis indicated that obesity had a significant relation to the perception of ideal body image, social support for eating behavior, and self-efficacy for controlling overeating(p〈0.01). As subjects preferred thinner body images(OR=0.39) and received less social support(OR=0.93), the odds of being classified as obese increased. The odds of being obese were also associated with self-efficacy, however, the relation was not strong(OR=1.04). 4) Specific social support was related to obesity among adolescent girls. As subjects received more support from family member, the odds of being obese decreased. The emotional support as well as family member's positive nutrition behavior plays a significant role. In addition, instrumental support from friends was associated with obesity. With repect to self-efficacy, the odds of being obese were increased as subjects felt less confident in controlling overeating when tempting food was placed in front of them or after an argument. In contrast, the obese group felt more confident in controlling overeating for the rest of the specific situations examined. These findings suggest that educational interventions for weight control should incorporate strategies to help participants realize their degree of obesity, to reduce the discrepancy between current and ideal body image, to elicit and maintain social support from friends and family, and to increase the self-efficacy for changing eating behaviors. (Korean J Community Nutrition 2(4) : 496-504, 1997)

• The Journal of the Korea Contents Association
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• v.13 no.2
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• pp.440-450
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• 2013

This purpose of this paper is to study the economic effects of port-liquid freight by focusing on Korea port and induce its policy implication. For this, 29 sectors' input-output tables with port-logistic sector as an individual sector is constructed. The direct industrial effects of port-liquid freight are analysed to be an increase in about 3.6billion dollars' worth of production of the port-logistic industry, an increase in about 1.98billion dollars' worth of value-added of the industry, and the creation of about 11,589 employment in the industry. Including the indirect effects, the total effects on Korea economy are estimated to be an increase in about 4.9 billion dollar's worth of production, an increase in about 2.4 billion dollars' worth of value-added and an increase in about 17,746 employment. The total effects of port-liquid freight on Korea economy is about 2.5-3.0% of that of port-logistic total freight. the results suggest tkat thought economic effects of port-liquid freightare not large, we have to focus on policy support for port of port-liquid freight.