• Korean Journal of Social Welfare Studies
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• v.48 no.4
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• pp.221-249
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• 2017

This study aims to investigate determinants that affect job retention of injured workers depending upon types of return to work in order to suggest define the intervention priority for those who returned to original works and for those who did not. After constructing explaining variables based on literature reviews, determinants were verified analyzing 1,292 people using Panel Study of Worker's Compensation Insurance(PSWCI) data. The job retention period turned out to be 46.6 months for those who returned to original work and 34.2 month for those who returned to new works. Injured workers who return to new works tend to have more unemployment experiences. As a result of Cox proportional regression analysis, the longer it takes to return to work, the longer both groups tend to retain after the accident. Age, recuperation period, health status, psycho-social rehabilitation, education and occupational training also affect on job retention probability for those who return to new work. Based upon the analyzed result, setting up an adequate duration for return-to-work, intervention for injured workers who experienced vulnerable working condition before the accident and continuous case management after return-to-work are suggested.

• Journal of Technology Innovation
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• v.27 no.2
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• pp.99-122
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• 2019

ODA (Official Development Assistance) aims for practicing international humanitarianism in developing countries. However, ODA donors also seek to find convincing evidence meeting the national economic & political interests in the international community. In this regards, precise & unbiased estimation of the policy effects of ODA aid on the donors' exports to the recipient countries has recently become one of the primary concerns of the ODA donors, especially developing countries including Korea of which economy structure heavily relies on exports for economic growth. Based on the basic gravity model, this study empirically analyzes the effects of technical cooperation ODA delivering skills, knowledge and technical know-how on Korea's exports to the ODA recipient countries using 10-year panel data from 2007 to 2016. Specifically, by incorporating major variables affecting trade such as GDP, distance, FDI etc, the effect of technical cooperation ODA on Korea's exports to the ODA recipient countries is estimated with various kinds of panel models. As a result, technical cooperation ODA has a statistically significant impact on Korea's exports to ODA recipient countries, especially in the exports of intermediate goods. And the detail process of this black-boxed mechanism is scrutinized through case studies on Uzbekistan, The Philippines, and Morocco.

• Journal of the Korean Society of Radiology
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• v.13 no.3
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• pp.433-438
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• 2019

The medical institutions use radiation generating devices and radioactive isotopes to diagnose and treat patients. The patient transporter performs work in an environment that is more likely to be exposed to radiation when compared with the general public, such as inevitably entering the radiation management area for patient transfer, or transferring the isotope-administered patient at a short distance. For this reason, we conducted a study to determine the degree of exposure of the patient transporter. The 12 patient transporters working at Incheon A General Hospital are eligible. From April 1, 2019 to April 30, 2019, the dosimeter was used in the chest for one month and the accumulated dose was measured. The dosimeter used was a Optically Stimulated Luminescence Dosimetry (OSLD) and the dose reading was OSLD Microstar Reading System. As a result of cumulative dose measurement for one month, the average of the deep dose was 0.13 mSv and the surface dose was 0.13 mSv, and the cumulative dose for one month was multiplied by 12 to estimate the cumulative dose expectation As a result, the average of the deep dose and the surface dose were 1.52 mSv and 1.51 mSv, respectively. It is necessary to classify the patient transporter as a frequent visitor in order to measure and manage the exposure dose, increase the knowledge of protection against radiation through education and training, and prevent radiation trouble through medical examination.

• Journal of Wetlands Research
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• v.23 no.2
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• pp.122-132
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• 2021

We reviewed the methods employed in Korean tidal flat surveys to measure the local abundance of the endangered wildlife and marine protected species, the fiddler crab, Austruca lactea. A complete census for infinite population is impossible even in a limited habitat within a tidal flat, and density estimates from samples strongly vary due to diverse biological and ecological factors. The habitat boundaries and areas shift with periodicities or rhythmic activities of organisms as well as measurement errors. Hence the local abundance calculated from density and habitat areas should be regarded as transient. This conjecture was valid based on the spatio-temporal variations of the density averages, standard error ranges, and spatial distribution of the crab, A. lactea observed for 3 years (2015-2017) in Songdo tidal flat in Incheon. We proposed the potential habitat areas using the occurrence probability of 50% from logistic regression model, reflecting the importance of habitat conservation value as an alternative to local abundance. The spatial shape of potential habitat predicted from a generalized model would remain constant over time unless the species' critical environmental conditions change rapidly. The species-specific model is expected to be used for the introduction of desired species in future habitat restoration/creation projects.

• Journal of the Korean Applied Science and Technology
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• v.38 no.1
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• pp.228-240
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• 2021

This study was conducted with the goal of establishing a foothold for lifelong sports as well as establishing golf as a desirable leisure activity through the analysis of the relationship between golf participants' coach support, resilience and self-rated health. To achieve the goal of this study, a total of 300 questionnaires were distributed and 300 copies were collected back. Out of those returned questionnaires, insincerely replied or double-replied questionnaires were excluded and finally 278 questionnaires were analyzed for this study. For analysis of the data, frequency analysis, exploratory factor analysis, reliability analysis, confirmatory factor analysis, correlation analysis, and structural equating modeling were conducted using SPSS 18.0 and AMOS 18.0. Main findings were as follows: First coach support had a positive effect on resilience. Second, resilience had a positive effect on self-rated health. Third, coach support had a positive effect on self-rated health. Fourth, resilience mediated the relationship between golf participant coach support and self-rated health. Therefore, golf instructors should achieve specialization and diversification of educational programs through continuous learning about various teaching methods.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.3
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• pp.133-140
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• 2022

We investigate the performance of deep learning-based Korean language models on a task of predicting the score range of Korean essays written by foreign students. We construct a data set containing a total of 304 essays, which include essays discussing the criteria for choosing a job ('job'), conditions of a happy life ('happ'), relationship between money and happiness ('econ'), and definition of success ('succ'). These essays were labeled according to four letter grades (A, B, C, and D), and a total of eleven essay score range prediction experiments were conducted (i.e., five for predicting the score range of 'job' essays, five for predicting the score range of 'happiness' essays, and one for predicting the score range of mixed topic essays). Three deep learning-based Korean language models, KoBERT, KcBERT, and KR-BERT, were fine-tuned using various training data. Moreover, two traditional probabilistic machine learning classifiers, naive Bayes and logistic regression, were also evaluated. Experiment results show that deep learning-based Korean language models performed better than the two traditional classifiers, with KR-BERT performing the best with 55.83% overall average prediction accuracy. A close second was KcBERT (55.77%) followed by KoBERT (54.91%). The performances of naive Bayes and logistic regression classifiers were 52.52% and 50.28% respectively. Due to the scarcity of training data and the imbalance in class distribution, the overall prediction performance was not high for all classifiers. Moreover, the classifiers' vocabulary did not explicitly capture the error features that were helpful in correctly grading the Korean essay. By overcoming these two limitations, we expect the score range prediction performance to improve.

• Journal of the Society of Disaster Information
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• v.19 no.3
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• pp.519-531
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• 2023

With the aim of preventing safety accidents at construction sites, the company aims to create safe behaviors intended through variables called smart safety and health activities to help reduce industrial accidents. Purpose: It analyzes how smart safety and health activities affect accidents caused by unsafe behavior and changes in worker behavior, which is the root cause, and verifies the hypothesis that it helps prevent safety accidents and protect workers' lives. Method: Smart safety and health activities were selected as independent variables (X), and intended safety and anxiety, which are workers' behavioral intentions, were set as dependent variables (Y), attitude and subjective norms, and planned behavioral control as parameters (M). Exploratory factor analysis, discriminant validity analysis, and intensive validity analysis of safety and health activities were used to analyze the scale's reliability and validity. To verify the hypothesis of behavior change, the study was verified through Bayesian model analysis and MC simulation's probability density distribution. Result: It was found that workers who experienced smart safety and health activities at construction sites had the highest analysis of reducing unstable behavior and performing intended safety behavior. The research hypothesis that this will affect changes in worker behavior has been proven, the correlation between variables has been verified in the structural equation and path analysis of the research analysis, and it has been confirmed that smart safety and health activities can control and reduce worker instability. Conclusion: Smart safety and health activities are a very important item to prevent accidents and change workers' behavior at construction sites.

• 한국노년학
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• v.32 no.2
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• pp.631-647
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• 2012

The purpose of this study was to examine the impact of climacteric women's attitude to developmental phenomena and their menopausal symptoms on their meaning of life in an attempt to provide some information on the improvement of climacteric women's quality of life. The subjects in this study were 313 women who resided in different regions involving a large city D and another city C. They were aged between 40 and 60 and were going through their menopause. They were aged between 40 and 60 and were going through their menopause. The subjects were selected by convenient sampling, which was one of nonprobability sampling methods. The collected data were analyzed by the statistical package SPSS. The major findings of the study were as follows: First, the climacteric women didn't take a positive attitude toward developmental phenomena. They occasionally suffered severe menopausal symptoms, and they didn't find a great meaning in their life. Second, the climacteric women found a more meaning in their life when they took a more positive attitude to developmental phenomena, and those who underwent severer menopausal symptoms found a less meaning in their life. Third, the climacteric women's meaning of life was under the influence of their attitude toward developmental phenomena and menopausal symptoms. Specifically, their attitude to menopause and mental symptoms had a large impact on that. Given the findings of the study, social welfare intervention should be provided for climacteric women to promote their physical health related to menopausal symptoms and psychological health related to attitude toward developmental phenomena to find a more meaning in their life. Besides, local welfare centers should be open to climacteric women as one of governmental policies so that they could lead a healthy life. Education should be provided for them to be ready for their own menopause, and social welfare counseling service should be offered from diverse angles

• 한국노년학
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• v.39 no.4
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• pp.699-721
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• 2019

The purpose of this study was to examine and compare factors affecting the subjective life expectancy among the elderly, and to suggest health practice and social welfare service implications for later life. A total of 4,483 seniors from the 6th wave(2016) of the Korean Longitudinal Study on Aging (KLoSA) were used for analysis. The subjects were divided into three age groups: the young-old (n=2,106, 65~74 years), middle-old (n=1,803, 75~84 years), and oldest-old (n=574, 85 years and older). Control variables were sociodemographic factors and health status factors. Independent variables were health promotion behavior, cognition of public care, participating social activity, economic activity, and receiving basic pension. The data were analyzed using hierarchical multiple regression. The main results were as follows. Health promotion behavior was associated with the young-old. Social activities and economic activity were associated with the young-old and middle-old. Receiving basic pension had a significant impact on all age groups. In the middle-old, significant results were focused on socio-demographic and health status factors compared to other groups. The results of this study will provide basic data for the elderly policy and welfare service and will help to find and improve the important factors for the life of the elderly.

• Health Policy and Management
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• v.34 no.1
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• pp.68-77
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• 2024

Background: Depressive disorders can be categorized into daily depression and clinical depression. The experience of depressive disorder can increase health care utilization due to decreased treatment compliance and somatization. On the other hand, the clinical depression group may also experience social prejudice associated with the illness, which can limit their access to health care utilization. In terms of the significance of health care utilization as a factor in individual and social issues, this study aims to compare the health care utilization of the clinical depression group with that of the non-depressed group and the daily depression group. Methods: The analysis utilized the inverse probability of treatment weighting based on the generalized propensity score. Results: As a result of the analysis, clinical depression and daily depression were higher among women, low-income groups, individuals with low education levels, and so forth. The clinical depression group was also higher among individuals who were not economically active, did not have private health insurance, or had multiple chronic diseases. The number of outpatient department visits in the depression group was significantly higher than in the non-depressed group. In addition, the number of outpatient department visits for the clinical depression group was significantly higher than that for the daily depression group. Outpatient medical expenses were higher in the depression group than in the non-depressed group, and there was no significant difference between the clinical depression group and the daily depression group. Conclusion: Health care utilization was higher in the depression group than the non-depressed group, it was also higher in the clinical depression group than the daily depression group.