• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.6
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• pp.226-236
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• 2021

The purpose of this study was to investigate the effect of social support on suicidal ideation among the elderly at welfare centers through the mediating effect of avoidance coping style. This is a descriptive research survey of 392 elderly people at four elderly welfare centers located in G city. Data were collected from October 21 to November 8, 2019, and analyzed using the IBM SPSS/win 26.0 program by t-test, ANOVA, and the Pearson's correlation coefficient. The mediating effect was analyzed by multiple regression analysis according to Baron and Kenny's 3-step analysis procedure. Social support of the subjects was found to be high with an average score of 5.73±1.23, avoidance coping style with 12.53±3.47 points, and suicidal ideations with 6.21±2.06 points. In the correlation between the variables, suicidal ideations were negatively correlated with social support (r=-.146, p=.004) and avoidance coping style (r=.315, p<.001), and these correlations were statistically significant. There was a positive correlation. The avoidance coping style of the elderly using the welfare centers was found to partially mediate the relationship between social support and suicidal ideation (Z=-.270, p<.001). Therefore, to prevent negative emotions such as suicidal ideations in the elderly, various policies and support programs at the local and government level should be continuously implemented.

• Journal of Convergence for Information Technology
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• v.11 no.6
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• pp.83-98
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• 2021

This study identified the influence of employees' hybrid start-up intention (intention to start a business while maintaining a job) on the employees' self-determination motivation (intrinsic motivation, extrinsic motivation) and prior knowledge through the Model of Goal-directed Behavior (MGB). We used a PLS-SEM called SmartPLS 3.0 for 126 valid samples collected by judgement extraction for office workers throughout June 13, 2020 to July 3, 2020, and empirically evaluated the measurement model (internal consistency reliability, convergent and discriminant validity) and the structural model (multicollinearity, determination coefficient, effect size, predictive relevance, etc.). Only the intrinsic motivation for realizing the hybrid start-up goal of office workers had a significant impact on the hybrid start-up attitude and subjective norms, and the prior knowledge of hybrid start-up had a significant impact on the hybrid start-up desire and the hybrid start-up intention. In order to induce hybrid start-ups for workers with unstable employment, we need systems and programs that can inspire employees with intrinsic motivation and knowledge about hybrid start-up, so follow-up researches are necessary to analyze about government systems and consulting support that can promote hybrid start-up.

• 한국노년학
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• v.30 no.4
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• pp.1129-1143
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• 2010

The purposes of this study were to investigate the major determinants influencing on health promoting behaviors(HPB) of the elderly living in Seoul. The conceptual framework of the study was Pender's health promoting model and the ecological perspectives. The study was conducted with 495 elderly persons whom 60 years old. For the analysis of data, descriptive statistics and hierarchical regression were used for the statistical analysis with SPSS program. The results were as following: 1) The mean score of the HPB was 3.11(SD=0.41). 2) Hierarchical regression analysis found that ModelIV accounted for 55.7% of the variance in HPB. 3) The Major determinants on HPB among the elderly persons were prior related perceived benefits of action, social support, perceived self-efficacy, community environment, perceived health status, education, and age. In conclusions, first, we should develop to various levels of educational and supportive programs for the HPB among the elderly persons. Second, we should examine more with environment, the accessibility to senior welfare agencies. Third, we should be organized the self-help groups for the elderly persons to improve health promoting behaviors. Fourth, the government should established more secure environment for the HPB, and find better solutions that are provided by various social welfare agencies connected with the coordination of the services in the local communities. Finally, we should develop professional education training programs of the HPB for the practitioners in the field of Gerontological Social Work.

• Journal of Energy Engineering
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• v.25 no.3
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• pp.95-103
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• 2016

The government is trying to expanding the manufacture and utilization of solid refuse fuel (SRF) facilities in order to mitigate greenhouse gases reducing and eco-friendly waste-to-energy recovery. In this regard, this study attempts to look into the economic effects of expanding the manufacture and utilization of SRF facilities by applying an inter-industry analysis using a 2014 input-output table. Specifically, by applying the demand-driven model presents the results for the production-inducing effect, value-added creation effect, and employment-inducing effect. In particular, this study attempted to redefine for the SRF. In addition, it was accessed by exogenous around the manufacture and utilization of SRF sector. The results show that production-inducing effect and value-added creation effect of expanding the manufacture and utilization of SRF facilities for the investment of 1.0 won are estimated to be 1.9993 and 0.6747, respectively. The employment-inducing effect of one billion of investment in the expanding the manufacture and utilization of SRF facilities is computed to be 11.1982 persons. This information can be utilized in predicting the economic effects of the manufacture and utilization of SRF.

• Journal of Preventive Medicine and Public Health
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• v.1 no.1
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• pp.1-8
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• 1968

This paper describes the incidence of transport accident for the period, 1955-1965. Transport accidents were classified into three categories, viz. railway(WHO Classification of Diseases, E-802), watercraft (E 550-E 858) and motor vehicle accidents(E810-E835, E840-E841, E844-E845). Crude data on the subject were collected from the various souces of Government Statistical Books including Statistical Year Books edited by the Central Office of Economic Planning Board, Annual Police Reports by the Ministry of Home Affairs, and the national and local associations for road traffic safety. From the data incidence and mortality rates by year, month and local province were computed and other variables relevant to the epidemiology of accidents were observed. The following summary could be drawn: 1. Death rates due to transport accidents per 100,000 population were 12.3 for 1955 and 9.7 for 1965. The incidence of injury due to the same cause were 34.0 for 1955 and 35.9 for 1965. 2. Death rates by transportation vehicle showed 9.0 due to motor vehicle accidents, 1.7 due to water-crafts, and 1.6 due to railway trains for 1955. In 1965 death rates were 6.0 due to motor vehicles, 1.2 to water-crafts and 2.4 to railway. 3. Seasonal distribution of transport accidents revealed that car accidents occur more frequently in spring and fall fall seasons while ship accidents do in winter and train accidents more in summer. 4. Both car and ship accidents slightly decreased during the past decade, 1955-1965, whereas the accidents of railway trains showed a tendency of increase. 5. Although the survey on railway accidents excluded the injuries of passengers or railway employees corresponding to WHO classification of diseases, E 801, due to inaccuracy of data, it is roughly estimated that the same number of casualities as the incidence among pedestrians or any other than passengers or employees assumed to be at work(E 802).

• Korea Journal of Hospital Management
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• v.6 no.2
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• pp.138-155
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• 2001

This study was designed to find out the factors which influence on the financial performance of the hospital. Out of 32 provincial hospitals which were established by the government, 10 hospitals were selected as sample hospitals. Ten hospitals were divided into two groups(5 hospitals each), one of which was profit-making and the other loss-making. The criteria in selecting profit or loss-making hospitals was net profit to total revenue. The major finding of the study was as follows; 1. Whether or not a hospital had specialized in certain departments was proved to be the major factor influencing on the financial performance. Three out of five profit-making hospitals could harvest following results by operating specific departments. (1) Man powers needed for the operation of specific departments were 14.6 persons per 100 bed, which was only 1/7 of the general hospital. (2) The number of doctors has not increased in proportion to the increase of the number of beds. (3) Ratio of total revenue to MD.'s payroll expenses of the profit-making hospitals was 75.0% higher than the loss-making hospitals. (4) The average length of stay of specific department was very long(388.1 days). However, the specific departments were found to have contributed much to the financial performance because the occupancy rate of such departments was very high(94.5%). 2. The headcount per 100 bed of the profit-making hospitals was 23.9 persons(24.0%) less than the loss-making hospitals and the ratio of payroll expenses to total revenue 15.1% less. 3. Averagel revenue per specialist of the profit-making hospitals was 100 million(25.1%) more than loss-making hospitals and the ratio of total revenue to MD's payroll expenses of profit-making hospital was 75.0% higher. 4. Profit-making hospitals have introduced new systems or renovation in 36 fields, such as incentive payment system, utilization of contracted man powers, change of the payroll structure of the nurses, specialization in certain departments, etc; however, loss-making hospitals introduced only 25 new systems or renovations. These kind of renovation could not be achieved without the cooperation of the labor union and the strong will of the top management. Therefore, it could be said that the labor union of the profit-making hospitals seems to have been very cooperative compared with that of loss-making hospitals.

• Child Health Nursing Research
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• v.19 no.1
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• pp.12-20
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• 2013

Purpose: The purpose of this study was to investigate factors associated with suspicious developmental delay in infants and early childhood. Methods: Participants were 133 infants, aged from birth to 6 years old and their mothers, who were being seen at 16 Public health centers in B city. Korean Denver II was used to test infant development. ${\chi}^2$-test, Fisher's exact test and multiple logistic regression were used with SPSS 19.0 to analyze data. Results: Of participant infants, 7.5% were below the 3rd percentile for the weight percentile, 8.4% is a weight curve that crosses more than 2 percentile lines on the growth charts after previous achievement, and 9.8% had suspicious developmental delay according to Korean Denver II. Further the predictive factors related to suspicious development delay in the children were decrease of weight percentile (Odds Ratio [OR]=6.69, Confidence Interval [CI])=1.22-36.45), low economic state (OR=6.26, CI=1.50-26.00), and development delay perceived by their mothers (OR=4.99, CI=1.24-20.06). Conclusion: It is necessary to build a government level system to follow management of development of infants and children from the time of birth. Especially, it is necessary to develop a program for children in low income families.

• The Korean Journal of Applied Statistics
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• v.34 no.3
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• pp.375-388
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• 2021

This paper aims to help prevent the spread of COVID-19 by analyzing confirmed cases of COVID-19 in Daejeon. A high volume of visitors, downtown areas, and psychological fatigue with prolonged social distancing were considered as risk factors associated with the spread of COVID-19. We considered the weekly confirmed cases in each administrative district as a response variable. Explanatory variables were the number of passengers getting off at a bus station in each administrative district and the elapsed time since the Korean government had imposed distancing in daily life. We employed a mixed-effects zero-inflated Poisson regression model because the number of cases was repeatedly measured with excess zero-count data. We conducted k-means clustering to identify three groups of administrative districts having different characteristics in terms of the number of bars, the population size, and the distance to the closest college. Considering that the number of confirmed cases might vary depending on districts' characteristics, the clustering information was incorporated as a categorical explanatory variable. We found that Covid-19 was more prevalent as population size increased and a district is downtown. As the number of passengers getting off at a downtown district increased, the confirmed cases significantly increased.

• Journal of Industrial Convergence
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• v.20 no.11
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• pp.135-140
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• 2022

A study to estimate the appropriate size for the quota of civil servants during the period of change of government is required. Therefore, in this study, we would like to introduce a study that uses DEA to estimate the appropriate size of public officials. The department of a public institution is DMU, and the number of employees in each department is applied as an input variable, and the number of electronic approval production documents and the number of electronic approval expenditures are applied as output variables. MaxDEA 8 was used as an analysis program for this purpose. As a result of the analysis, when the efficiency level was 1.00 (100%), 3 out of 14 departments showed the optimal level by satisfying the efficiency, and 10 of the remaining departments scored 0.50 (50%) with a score of 0.50 (50%), confirmed to be relatively inefficient. In other words, it was confirmed that most departments had inefficient surplus staff. As an additional analysis, we calculated the number of possible staff reductions using the efficiency level. Using this, it is expected that the field of manpower reduction can be discovered in advance through an analysis of manpower efficiency by department, and based on this, it can be used to relocate manpower by department according to future response strategies.

• Korean Journal of Radiology
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• v.25 no.5
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• pp.414-425
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• 2024

Objective: This study aims to explore the opinions on the insurance coverage of artificial intelligence (AI), as categorized based on the distinct value elements offered by AI, with a specific focus on patient-centered outcomes (PCOs). PCOs are distinguished from traditional clinical outcomes and focus on patient-reported experiences and values such as quality of life, functionality, well-being, physical or emotional status, and convenience. Materials and Methods: We classified the value elements provided by AI into four dimensions: clinical outcomes, economic aspects, organizational aspects, and non-clinical PCOs. The survey comprised three sections: 1) experiences with PCOs in evaluating AI, 2) opinions on the coverage of AI by the National Health Insurance of the Republic of Korea when AI demonstrated benefits across the four value elements, and 3) respondent characteristics. The opinions regarding AI insurance coverage were assessed dichotomously and semi-quantitatively: non-approval (0) vs. approval (on a 1-10 weight scale, with 10 indicating the strongest approval). The survey was conducted from July 4 to 26, 2023, using a web-based method. Responses to PCOs and other value elements were compared. Results: Among 200 respondents, 44 (22%) were patients/patient representatives, 64 (32%) were industry/developers, 60 (30%) were medical practitioners/doctors, and 32 (16%) were government health personnel. The level of experience with PCOs regarding AI was low, with only 7% (14/200) having direct experience and 10% (20/200) having any experience (either direct or indirect). The approval rate for insurance coverage for PCOs was 74% (148/200), significantly lower than the corresponding rates for other value elements (82.5%-93.5%; P ≤ 0.034). The approval strength was significantly lower for PCOs, with a mean weight ± standard deviation of 5.1 ± 3.5, compared to other value elements (P ≤ 0.036). Conclusion: There is currently limited demand for insurance coverage for AI that demonstrates benefits in terms of non-clinical PCOs.