• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.3
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• pp.1506-1514
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• 2014

The study is aiming to shed light on not only the influence of logistics output by choosing the third party logistics as the using of third party logistics has been increasing by the manufacturing firms also look over the effect between the factor of third party logistics' choosing and logistics performance in accordance with the changing of the logistics environment. As a result of the study, both service and fame factor among the third party logistics choosing factors have a significant impact on the logistics performance, furthermore the service factor of the logistics environment has an influence on the logistics performance by customer factor after measuring the control effect, and the fame factor has an influence on the logistics performance by both globaliztion and information system factor.

• Korean Journal of Psychosomatic Medicine
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• v.27 no.2
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• pp.164-172
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• 2019

Objectives : The purpose of this study was to examine personality traits associated with suicidal symptoms (with history of suicide attempt or suicidal idea) in depressed patients. Methods : A sample 186 patients diagnosed with major depressive disorder was divided into two groups : suicidal group (with history of suicide attempt or suicidal idea, n=70) and non-suicidal group (without history of suicide attempt or suicidal idea, n=116). NEO Personality Assessment System were used to evaluate personality trait. Results : Neuroticism was high in suicidal group (p=0.041). In multivariate logistic regression, Neuroticism was also a significant influence on suicidal symptoms (Odds Ratio=1.04, 95% Confidence Interval 1.01-1.07, p=0.0145). Conclusions : High Neuroticism is a useful information to identify individuals at high risk of suicide in depressive patients.

• Journal of Preventive Medicine and Public Health
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• v.35 no.1
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• pp.33-40
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• 2002

Objective : From an analysis of a community outbreak of measles in Youngju, Gyeongbuk, in March 2000, the authors evaluated the effectiveness of the measles vaccination and its determinants to Provide an epidemiologic basis for the establishment of a vaccination policy. Methods : Information was collected regarding the vaccinations from the health records of four primary schools and through a questionnaire surrey of the parents of students in two middle and two high schools (N=4638). Measles cases were surveyed from the patient list of each school and from case reports in the public health center. The attack rate and vaccine effectiveness of measles was evaluated by school; grade; frequency, region, and institution of vaccination. Results : The attack rate cf measles, 6.3% among the total subjects, was higher in middle school students (15.8%) than in primary (2.0%, p<0.05) and high school students (8.9%, p<0.05). The attack rate of the unvaccinated group was 4.6-fold higher than the vaccinated group in primary schools (p<0.05). Vaccine effectiveness was 83.2% among lower graders of primary schools, 34.0% among higher graders of primary schools,26.1% in middle schools, and -7.0% in high schools. In multiple logistic regression analysis, grade in school (odds ratio, 0.77; 95% CI=0.67-0.87) and frequency of vaccination (odds ratio, 0.57: 95% CI=0.37-0.58) were significant predictors of the outcome. Conclusions : We concluded that the explosive outbreak of measles in this area resulted from both inadequate vaccination coverage and secondary failure of vaccination. There was no evidence of any effect of the cold chain system on the vaccine failure.

• Health Policy and Management
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• v.28 no.1
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• pp.48-52
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• 2018

Background: The current study evaluated the hospital utilization and characteristics of patients who received health care services for acute cerebral infarction outside their own residential area. Methods: Using the 2014 national patient survey data, information on 2,982 patients diagnosed with acute cerebral infarction through emergency department were retrieved for the analyses. Multiple logistic regression was performed to investigate the characteristics associated with using hospitals outside residential area among patients diagnosed with acute cerebral infarction. Results: Fifteen point nine percent of patients admitted for acute cerebral infarction utilized hospitals outside their residential area. Patients residing in a province were 7.7 times more likely to utilize hospitals located outside their residential areas compared to those living in Seoul metropolitan city. Patients living in Gangwon and Jeolla were 0.26 times and 0.48 times more likely to go to hospitals in different geographical areas. Also, patients within the age group of 80 years and over were 0.65 times less likely to be admitted to hospitals outside their residential area compared to those in their 40s-50s. Conclusion: The use of hospitals outside patient's residential area is shown to be substantial, given that the acute cerebral infarction requires immediate recognition and treatment. The findings on the geographical differences in the hospital utilization suggest further investigation.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.20 no.2
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• pp.147-156
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• 2013

Purpose: The study was done to define complementary and alternative medicine (CAM) use among primary brain tumor patients and factors influencing use. Methods: The study was conducted with convenience sampling in 5 neuro-oncology centers in Seoul and Gyeonggi Province. Data were collected using a 25-item questionnaire developed by the researchers. Results: Of 250 patients approached, 231 (92.4%) agreed to participate. Overall, 26.8% of the respondents used CAM and the average cost for CAM use was 300,000 KRW. More than 72% of CAM users did not disclose CAM use to their health care professionals. The most frequently used therapy was natural products including mushrooms. Logistic regression analysis revealed that an education level of university or higher (OR=2.92, 95% CI=1.56-5.44, p=.001), unemployment (OR=1.99, 95% CI=1.04-3.80, p=.037), and WHO grade III & IV tumors (OR=2.18, 95% CI=1.07-4.72, p=.048) were significant factors influencing CAM use. Conclusion: Three out of ten brain tumor patients spend substantial sum of money for CAM. In these situations, health care professionals should be aware of this phenomenon and provide adequate information and consultation to the patients.

• Korea Journal of Hospital Management
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• v.26 no.3
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• pp.43-55
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• 2021

Purposes: The purpose of this study is to confirm the effect of mother's nationality on screening rates for infants and children health screening. We intend to find out if there is a difference in health level between infants of multicultural families and infants of domestic families, and contribute to policies to enhance future national health levels by providing information on them. Methodology: Data for those who received the first infant and children health screening between 2012 and 2018 were obtained from the National Health Insurance Service(NHIS) DB. Frequency analysis, chi-square test and logistic regression analysis were performed with the SAS 9.4 program, and the case where all the 1st to 3rd checkups were completed was defined as type I, and the case of all the 1st to 7th checkups completed, type II. Findings: Complete screening rates for type I and type II were 45.8% and 20.0%, respectively. Especially, complete screening rate of infants whose mothers nationality is foreign is only 3-4th of that of domestic mothers, and it also differed according to nationality. Practical Implications: The difference in the screening rate according to the mother's nationality is likely to lead to a health gap between multicultural families and domestic families. It is necessary to promote and encourage proper monitoring and health management through continuous health screening for infants and children.

• Geomechanics and Engineering
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• v.25 no.1
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• pp.1-16
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• 2021

Machine learning models have been widely used for landslide susceptibility assessment (LSA) in recent years. The large number of inputs or conditioning factors for these models, however, can reduce the computation efficiency and increase the difficulty in collecting data. Feature selection is a good tool to address this problem by selecting the most important features among all factors to reduce the size of the input variables. However, two important questions need to be solved: (1) how do feature selection methods affect the performance of machine learning models? and (2) which feature selection method is the most suitable for a given machine learning model? This paper aims to address these two questions by comparing the predictive performance of 13 feature selection-based machine learning (FS-ML) models and 5 ordinary machine learning models on LSA. First, five commonly used machine learning models (i.e., logistic regression, support vector machine, artificial neural network, Gaussian process and random forest) and six typical feature selection methods in the literature are adopted to constitute the proposed models. Then, fifteen conditioning factors are chosen as input variables and 1,017 landslides are used as recorded data. Next, feature selection methods are used to obtain the importance of the conditioning factors to create feature subsets, based on which 13 FS-ML models are constructed. For each of the machine learning models, a best optimized FS-ML model is selected according to the area under curve value. Finally, five optimal FS-ML models are obtained and applied to the LSA of the studied area. The predictive abilities of the FS-ML models on LSA are verified and compared through the receive operating characteristic curve and statistical indicators such as sensitivity, specificity and accuracy. The results showed that different feature selection methods have different effects on the performance of LSA machine learning models. FS-ML models generally outperform the ordinary machine learning models. The best FS-ML model is the recursive feature elimination (RFE) optimized RF, and RFE is an optimal method for feature selection.

• Journal of Veterinary Science
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• v.22 no.3
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• pp.35.1-35.13
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• 2021

Background: African swine fever (ASF) is an infectious viral disease of domestic pigs that presents as a hemorrhagic fever, and for which no effective vaccine is available. The disease has a serious negative social and economic impact on pig keepers. There is limited information on the potential risk factors responsible for the spread of ASF in South Kivu. Objective: The aim of this study was to determine the potential risk factors associated with ASF infection in suspected ASF virus (ASFV)-infected pigs. Methods: We sampled whole blood from 391 pigs. Additionally, 300 pig farmers were interviewed using a structured questionnaire. Viral DNA was detected by using the real-time polymerase chain reaction technique. Results: The majority of pigs sampled, 78% (95% confidence interval [CI], 74.4-82.6), were of local breeds. Over half, 60.4% (95% CI, 55.5-65.2), were female, and most of them, 90.5% (95% CI, 87.6-93.4), were adult pigs (> 1 year old). Viral DNA was detected in 72 of the 391 sampled pigs, indicating an overall infection rate of 18.4% (95% CI, 14.5-22.4). Multivariable logistic regression analysis revealed several risk factors positively associated with ASFV infection: feeding with swill in pen (odds ratio [OR], 3.8; 95% CI, 2.12-6.77); mixed ages of pigs in the same pen (OR, 3.3; 95% CI, 1.99-5.57); introduction of new animals to the farm (OR, 5.4; 95% CI, 1.91-15.28). The risk factors that were negatively (protective) correlated with ASFV positivity were the presence of male animals and the use of an in-pen breeding system. Conclusion: Local pig farmers should be encouraged to adopt proper husbandry and feeding practices in order to increase the number of ASF-free farms.

• Korean Journal of Remote Sensing
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• v.35 no.1
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• pp.179-193
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• 2019

Landslides are one of the most damaging geological hazards worldwide, threating both humans and property. Hence, there have been many efforts to prevent landslides and mitigate the damage that they cause. Among such efforts, there have been many studies on mapping landslide susceptibility. Geographic information system (GIS)-based techniques have been developed and applied widely, and are now the main tools used to map landslide susceptibility. We reviewed the status of landslide susceptibility mapping using GIS by number of papers, year, study area, number of landslides, cause, and models applied, based on 776 articles over the last 20 years (1999-2018). The number of studies published annually increased rapidly over time. The total study area spanned 65 countries, and 47.7% of study areas were in China, India, South Korea, and Iran, where more than 500 landslides, 27.3% of all landslides, have occurred. Slope (97.6% of total articles) and geology (82.7% of total articles) were most often implicated as causes, and logistic regression (26.9% of total articles) and frequency ratio (24.7% of total article) models were the most widely used models. We analyzed trends in the causes of and models used to simulate landslides. The main causes were similar each year, but machine learning models have increased in popularity over time. In the future, more study areas should be investigated to improve the generalizability and accuracy of the results. Furthermore, more causes, especially those related to topography and soil, should be considered and more machine learning models should be applied. Finally, landslide hazard and risk maps should be studied in addition to landslide susceptibility maps.

• The korean journal of orthodontics
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• v.51 no.1
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• pp.3-14
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• 2021

Objective: This study aimed to identify the perceptions of orthodontic treatment among Korean adults and determine the factors that drive them to seek orthodontic treatment. Methods: A total of 2,321 adults aged 19-64 years were surveyed using an internet research system from a specialized research company. The participants were divided into the following groups based on their experience of and willingness to undergo orthodontic treatment: experience, acceptance, and non-acceptance groups. The characteristics of the participants were compared using analysis of variance with post-hoc analysis. Multinomial logistic regression analysis was performed in all three models with the non-acceptance group as a reference. Results: In terms of demographic characteristics, age, gender, marital status, and education had significant influences on orthodontic treatment decisions in adults in the experience and acceptance groups (p < 0.001). When all the factors were analyzed, age, marital status, past dental treatment experience, regular oral examinations, demand for orthodontic treatment, optimal treatment period, health insurance coverage, information on orthodontic treatments, perceptions regarding orthodontic treatment, and psychosocial impact of dental esthetics significantly influenced orthodontic treatment decisions in adults in the experience and acceptance groups (p < 0.001). Conclusions: These findings suggest that various factors influence orthodontic treatment decisions in adults. Individuals who seek orthodontic treatment were found to undergo more regular dental treatment and oral examination than those who did not. They also had a better perception of orthodontic treatment and more negative values for the psychosocial impact of dental esthetics.