• Health Policy and Management
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• v.20 no.3
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• pp.104-122
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• 2010

Long-term care insurance has been introduced in Korea a year ago, and we are in a stage requiring to set principles regarding the generosity of coverage and how to gradually extend the coverage. This study empirically analyzes how the long-term care insurance in Korea is operated. Special attention is given to who is the main beneficiary of the long-term care insurance introduction, and what is the factors influencing the elderly's decision to apply for or use long-term care services. Use of a detailed information of individuals' public health insurance and long-term care insurance from administration data made it possible to control for health status, socioeconomic status including family type, housing tenure, income level. Logit models were employed to analyze the effects of various socioeconomic factors on the likelihood of applying and using long-term care services. Also, this study employed a survey questioning whether to ever willing to take other option as a alternative to residential care or home-care and the level of cash benefit for which they are willing to replace the formal care with informal care. The result indicated that although the poorest elderly population groups are in the greatest need for the long-term care service, they are in difficulty using the service due to economic burden. This implies the copayment amount needs to be adjusted in order for the poor elderly group to be able to get the benefit of the long-term care service.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.14 no.4
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• pp.66-73
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• 2006

This study focuses on the economies of launching regular air services between capital cities of South Korea and North Korea. The demand for traveling between these two cities is too small to justify scheduled air service. However, it may be possible to provide regular air service by utilizing via flight of incumbent Seoul-Beijing flights. There are numerous flight services between Seoul and Beijing and we may allow some of the Seoul-Beijing flights to stop by Pyung Yang for commercial traffic handling. This study tries to find the optimal discount rate which passengers traveling between Seoul and Beijing via Pyung Yang, the idea is reasonable considering the inconvenience of stopping at Pyung Yang. The Stated Preference Techniques are applied for the study. The required data were collected through interviews of passengers traveling from Seoul to Beijing. The major variables that are considered in flight choice are air fare, flying time, and flight frequency. The relative importance of these major variables is estimated by the logit models calibrated with stated preference data.

• Korean Journal of Health Education and Promotion
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• v.30 no.5
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• pp.91-100
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• 2013

Objectives: Despite the considerable interest in the increase in obesity particularly of socially disadvantaged group in Korea, how obesity varies according to various socio-demographic characteristics still remains largely unanswered. To further develop the understanding of obesity in Korea, the present study focuses on the possibility that the relationship between educational attainment and obesity varies across age. Methods: Using 2010 Korea National Health & Nutrition Examination Survey (KNHANES), this study divides the adults into male and female groups and examines the interaction effect of age and educational attainment on obesity through binominal logit models for each group. Results: The most educated male group is more likely to be obese than those who did not complete high school. And the relationship between male's educational attainment and obesity does not significantly change across age. In contrast to male's obesity pattern, female educational attainment has a significant negative association with obesity. The gap in obesity across educational groups converges after middle ages in female. Conclusions: Health policies should pay more attention to those who are more vulnerable to obesity risk in order to effectively reduce obesity.

• Journal of Korean Port Research
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• v.7 no.1
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• pp.25-42
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• 1993

지난 20여년간 화물수송 분야에는 큰 변화가 있었다. 수송 공급 측면에서는 보다 다양하고 기술적으로 앞선 수송수단들이 등장했으며, 수송 수요 측면에서는 로지스틱스 개념의 도입으로 화주들의 보다 높은 수송 서비스가 요구 되었다. 수송수단의 수송 분담에 있어서도 특히 철도에서 공로로의 두드러진 화물이동 현상이 나타났다. 이러한 변화는 수송 현안 해결에 대한 관심을 높이고 화물수송수요 예측기법의 이론적, 개념적인 발달을 가져왔다. 그 중 두드러진 발달은 화주의 행태를 반영하는 행태모형의 개발과 새로운 자료수집 방법 및 자료형태이다. 전통적으로 화물수송 및 교통 연구에 널리 사용된 행태모형은 확률표본을 사용하여 왔으나, 80년대 부터 비확률 표본 사용에 관심이 높아졌다. 그 대표적인 것으로 기반근거 데이터를 들 수 있다. 이 데이터는 제한된 정보를 제공한다는 자료자체의 한계를 지니고 있으나, 자료수집이 용이하고 비용이 저렴하다는 장점을 가지고 있다. 화물수송 분야에서 선택기반 데이터를 이용한 연구는 현재까지 두 편이 발표 되어 있다. 따라서 볼 연구는 선택기반 데이터를 이용한 개별선택모형의 잠재력을 검증하는 것을 그 목적으로 하고, 네 종류의 제조품 그룹을 대상으로 기반근거 데이터를 수집하여 로짓모형을 추정하였으며, 추정결과를 이전 연구들의 결과와 비교하여 그 타당성을 검토 하였다. 추정된 결과는 통계적으로 유의하며 직관적으로 타당한 것으로 나타난다. 또한 그 결과는 문헌의 결과와도 일치하였다. 수송계획에 있어서 자료수집비용 절감의 필요성을 생각할 때 이것은 중요한 의미를 지닌다.

• Korean Journal Plant Pathology
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• v.14 no.2
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• pp.150-156
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• 1998

To develop a model for prediction of turnip mosaic virus(TuMV) disease progress of Chinese cabbage based on weather information and number of TuMV vector aphids trapped in Taegwallyeong alpine area, data were statistically processed together. As the variables influenced on TuMV disease progress, cumulative portion(CPT) above 13$^{\circ}C$ in daily average temperature was the most significant, and solar radiation, duration of sunshine, vector aphids and cumulative temperature above $0^{\circ}C$ were significant. When logistic model and Gompertz model were compared by detemining goodness of fit for TuMV disease progress using CPT as independent variable, regression coefficient was higher in the logistic model than in the Gompertz model. Epidemic parameters, apparent infection rate and initial value of logistic model, were estimated by examining the relationship between disease proportion linearized by logit transformation equation, In(Y/Yf-Y) and CPT. Models able to describe the progression of TuMV disease were formulated in Y=100/(1+128.4 exp(-0.013.CPT.(-1(1/(1+66.7.exp(-0.11.day). Calculated disease progress from the model was in good agreement with investigated actual disease progress showing high significance of the coefficient of determination with 0.710.

• Korean journal of food and cookery science
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• v.19 no.5
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• pp.581-590
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• 2003

The purpose of this study was to identify the combinations of factors combinations conferring the highest utility of family restaurants to university students, and establish the relative importance of these factors in terms of their contribution to total utility. 196 of 200 questionnaires were utilized for the analysis. (Eds note: to whom were the questionnaires administered) Frequencies, crosstabs, and the conjoint, max. utility, BTL and Logit models, K-means cluster and one-way ANOVA analysesis, and the Friedman test were the statistical methods used for this study. The findings from this study were as follows: 1) the Pearson's R and Kendall's tau statistics (Eds note: these were not mentioned earlier) show that the model (Eds note: which model is this) fits the data well. 2) it was found that of all the respondents, especially the first and third clusters, regarded both the type of food and the price as very important factors. 3) it was found that all the respondents, especially the third cluster, most preferred a family restaurant (design and simulation) that provided less than 6 fusion and traditional foods. The first cluster most preferred family restaurant (design) that provided over 10 traditional and less than 6 ethnic foods. The second cluster most preferred a family restaurant (design and simulation) that provided over 10 traditional foods. 4) the results of the study have provided some insights into the effective types of family restaurant designs that can be successfully developed by those who manage menu variety, quality and type of food, price, and quality of service to university students dining at family restaurants.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.2
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• pp.33-44
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• 2019

The Indonesian government launched a new people's business credit program as part of a package of economic policy and deregulation. The interest rate is set lower than the average of the current loan interest rates, especially when compared with rural bank interest rates. To capture the social spatial aspects, quota sampling is applied to ten areas that divided based on the social culture. Further, the method utilized in this research is logit models, which designed to analyse the determinants of asymmetric information particularly on the rural bank and small micro enterprises. The study was conducted in East Java as the province with the largest number of rural banks in Indonesia. Based on the estimation of asymmetric information model to the respondent of rural banks and small businesses, the result shows that adverse selection can be avoided by strengthening the information about prospective borrowers. Regarding moral hazard, rural banks and small businessmen argued that the imposition of the collateral to the debtor has an important role to avoid moral hazard. Rural bank respondents stated that the KUR program with low-interest rates has affected their business development. The results implied the need of broadening the collaboration schemes between this people's business credit program and rural banks.

• Journal of Korean Port Research
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• v.8 no.1
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• pp.49-63
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• 1994

The introduction of high speed railway system a significant impact on the conventional inter-urban transport systems by inducing a significant traffic from the existing modes as well as generating a new traffic. It is also closely related to intra-urban transport systems as the inter-urban traffic has its origin and destination in a city. In the context of mode choice, for high speed transport systems, it has been argued that the accessibility is the most important attribute conceived by users. Thus this study attempts to analysis the importance of the accessibility for the planned high speed railway systems particularly with respect to the location of Busan Station. For this Stated-Preference approach, which is considered appropriate for such study, is adopted, and disaggregate binary logit models for mode choice between the high speed railway and air service in Busan-Seoul corridor are developed. The elasticities for cost and service variables are also derived. The results disclose that cost is the most important which is inconsistent with most previous studies ; accessibility has considerable impact on the choice ; and frequency however has a little impacts. Concerning location of the high speed railway station the results suggest that the longer the access distance is, the more important the accessibility is. This implies that the connection of reliable access transport services such as underground are essential between the terminal and urban center.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.4
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• pp.860-880
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• 2024

Breast cancer is a major health concern affecting women and men globally. Early detection and accurate classification of breast cancer are vital for effective treatment and survival of patients. This study addresses the challenge of accurately classifying breast tumors using machine learning classifiers such as MLP, AdaBoostM1, logit Boost, Bayes Net, and the J48 decision tree. The research uses a dataset available publicly on GitHub to assess the classifiers' performance and differentiate between the occurrence and non-occurrence of breast cancer. The study compares the 10-fold and 5-fold cross-validation effectiveness, showing that 10-fold cross-validation provides superior results. Also, it examines the impact of varying split percentages, with a 66% split yielding the best performance. This shows the importance of selecting appropriate validation techniques for machine learning-based breast tumor classification. The results also indicate that the J48 decision tree method is the most accurate classifier, providing valuable insights for developing predictive models for cancer diagnosis and advancing computational medical research.

• Safety and Health at Work
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• v.15 no.3
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• pp.271-277
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• 2024

Background: This article aims to show that work-life balance (WLB) for workers with disabilities can have important meanings that can affect turnover intention and exclusion from the labor market. Methods: Using the Korean Panel Survey of Employment for the Disabled (1st-8th), panel logit models were applied to analyze the effect of WLB on the voluntary turnover intention and behavior of workers with disabilities. WLB types were categorized into four groups (Work-Life Dissatisfaction Group, Only Work Dissatisfaction Group, Only Life Dissatisfaction Group, and Work-Life Balance Group) based on the integration of job satisfaction and life satisfaction. Results: Turnover intention was significantly higher in the work-life imbalance groups (Work-Life Dissatisfaction Group, Only Work Dissatisfaction Group), which is commonly associated with job dissatisfaction. The effect of WLB on turnover intention was 1.38 times higher in Only Work Dissatisfaction Group (β: 2.25, 99% confidence interval [CI]: 1.50, 2.31), characterized by dissatisfaction solely with their job, than in Work-Life Dissatisfaction Group (β: 1.90, 99% CI: 1.97, 2.53), which was experiencing dissatisfaction with both work and life. Only Work Dissatisfaction Group resulted in actual turnover, with females (β: 0.73, 95% CI: 0.37, 1.09) more likely to exit the labor market and males (β: 0.66, 99% CI: 0.41, 0.89) showing a higher tendency to change jobs. Conclusion: WLB policy should focus on job dissatisfaction, a key predictor of turnover intention that leads to actual turnover behavior. Furthermore, women workers with disabilities are a priority policy target group to prevent exclusion from labor.