• The Korean Journal of Emergency Medical Services
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• v.13 no.1
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• pp.35-48
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• 2009

Purpose: Firefighters were subjected to be exposed to 24-hour shiftwork and high level of job stress, but there is little study of fire fighters about between Job Stress and Psychological stress in Korea. This study was performed to evaluate job stress of fire fighters grouped by different job types and analyze the health effect of job stress by using a PWI-SF(Psycho-social Well-being Index, Short Form). Methods : This study was to measure the degree of job stress and socio-psychological stress of firefighters working at 119 safety center and analyze the relationship between job stress and mental health, through self-administered questionnaire survey on 918 fire fighters working at fire department located in Korea, during October in 2008. Question items of the questionnaire consist of general characteristics, job stress, and socio-psychological stress. Job Stress Measurement Scale for Koreans was used to measure job stress, while PWI-SF used for socio-psychological stress. Collected data was analyzed through frequency analysis, ${\chi}^2$ test, one-way ANOVA, correlation analysis, multi-regression analysis using a statistic program, SPSS/10.0 Ver for Windows, and statistical significance level was 0.05. Result : Accordingly, this paper is written for the purpose of scrutinizing the reason of 119 rescuers' job stress and Socio-Psychological stress. This thesis tries to analyze a problem and provide contents through many variables concerned and theoretical investigation with the actual research of questionnaire. The results of the study are summarized as follows : Fire fighters feel relatively high stressful in their performance. Job stress, organizational commitment and burnout did not have been influence upon by individual cases such as economic condition, regular exercise etc. Finally, as a result of step by step regression analysis, the variable that can explain Socio-Psychological stress the best was negative emotion scale(NE). Conclusions : It is necessary to conduct repeated studies in the future, since the study implied that there was a contrary relationship between job stress and socio-psychological stress. In order to reduce job stress and maintain better mental health, it is more important than anything else to help firefighters have willingness and efforts to sustain a healthy life, so the development of various programs and education to raise their awareness should be implemented.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.544-552
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• 2019

The purpose of this study was to find concrete measures to improve the subjective health level, happiness and quality of life of the elderly according to economic level and to propose social and policy alternatives accordingly. As a research method, 63,929 elderly people aged 65 or older were surveyed using the Community Health Survey (Indicator Bank) _v09, and the frequency of health use by economic level, subjective health level, euphoria and quality of life Analysis and Chi square analysis and independent t-test. Multi variate logistic regression analysis was performed with subjective health level as a dependent variable and multiple linear regression analysis was performed to determine the factors affecting euphoria and quality of life. The results of the study are as follows. In the case of recipients, medical use was lower than that of non-recipients, lower education level, female age of 75 years or older, and less stress, In case of present or past recipients, the result of non - receipt increased as the subjective health level was worse, and the non - recipient had higher euphoria and quality of life. As a result, there is a need for alternatives to increase opportunities for medical use among the recipients, with particular attention being paid to women and elderly people over 75 years old. It is expected to be used as a basic data to effectively improve the health promotion, happiness and quality of life of the elderly people of low income group.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.439-448
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• 2016

This study analyzed the influence of cultural empathy and analysis on the cultural sensitivity and understanding of multicultural education and the relationship between the attitudes and cultural empathy and understanding of multicultural education and the multicultural sensibility and attitudes of pre-service early childhood teachers. We conducted a survey on cultural sensitivity, multicultural education and understanding attitude among Early Childhood Education College and enrolled 165 infants with pre teachers in pre-service early childhood teachers who are able to sympathize with cultural areas of the Y. The data were subjected to Pearson correlation analysis with multiple regression analysis performed using the SPSS 21.0 program. From the data analysis, first, cultural empathy and multicultural sensitivity showed a significant positive correlation with understanding and attitudes of multicultural education pre-service early childhood teachers. Second, cultural empathy of the pre-service early childhood teachers was a significant variable for predicting the susceptibility multicultural, multicultural education and understanding attitude. Since cultural empathy can change according to various factors, future investigation of these factors is needed to increase the cultural sensitivity of pre-service early childhood teachers by conducting follow-up studies that apply these findings to educational programs. Cultural empathy shouldn't be limited to multicultural education or simply a means to access the field of experiencing the arts, but should be expanded to include research in teaching and learning on how cultural empathy can be applied to the overall educational curriculum.

• Journal of Intelligence and Information Systems
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• v.26 no.1
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• pp.23-45
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• 2020

Big data is creating in a wide variety of fields such as medical care, manufacturing, logistics, sales site, SNS, and the dataset characteristics are also diverse. In order to secure the competitiveness of companies, it is necessary to improve decision-making capacity using a classification algorithm. However, most of them do not have sufficient knowledge on what kind of classification algorithm is appropriate for a specific problem area. In other words, determining which classification algorithm is appropriate depending on the characteristics of the dataset was has been a task that required expertise and effort. This is because the relationship between the characteristics of datasets (called meta-features) and the performance of classification algorithms has not been fully understood. Moreover, there has been little research on meta-features reflecting the characteristics of multi-class. Therefore, the purpose of this study is to empirically analyze whether meta-features of multi-class datasets have a significant effect on the performance of classification algorithms. In this study, meta-features of multi-class datasets were identified into two factors, (the data structure and the data complexity,) and seven representative meta-features were selected. Among those, we included the Herfindahl-Hirschman Index (HHI), originally a market concentration measurement index, in the meta-features to replace IR(Imbalanced Ratio). Also, we developed a new index called Reverse ReLU Silhouette Score into the meta-feature set. Among the UCI Machine Learning Repository data, six representative datasets (Balance Scale, PageBlocks, Car Evaluation, User Knowledge-Modeling, Wine Quality(red), Contraceptive Method Choice) were selected. The class of each dataset was classified by using the classification algorithms (KNN, Logistic Regression, Nave Bayes, Random Forest, and SVM) selected in the study. For each dataset, we applied 10-fold cross validation method. 10% to 100% oversampling method is applied for each fold and meta-features of the dataset is measured. The meta-features selected are HHI, Number of Classes, Number of Features, Entropy, Reverse ReLU Silhouette Score, Nonlinearity of Linear Classifier, Hub Score. F1-score was selected as the dependent variable. As a result, the results of this study showed that the six meta-features including Reverse ReLU Silhouette Score and HHI proposed in this study have a significant effect on the classification performance. (1) The meta-features HHI proposed in this study was significant in the classification performance. (2) The number of variables has a significant effect on the classification performance, unlike the number of classes, but it has a positive effect. (3) The number of classes has a negative effect on the performance of classification. (4) Entropy has a significant effect on the performance of classification. (5) The Reverse ReLU Silhouette Score also significantly affects the classification performance at a significant level of 0.01. (6) The nonlinearity of linear classifiers has a significant negative effect on classification performance. In addition, the results of the analysis by the classification algorithms were also consistent. In the regression analysis by classification algorithm, Naïve Bayes algorithm does not have a significant effect on the number of variables unlike other classification algorithms. This study has two theoretical contributions: (1) two new meta-features (HHI, Reverse ReLU Silhouette score) was proved to be significant. (2) The effects of data characteristics on the performance of classification were investigated using meta-features. The practical contribution points (1) can be utilized in the development of classification algorithm recommendation system according to the characteristics of datasets. (2) Many data scientists are often testing by adjusting the parameters of the algorithm to find the optimal algorithm for the situation because the characteristics of the data are different. In this process, excessive waste of resources occurs due to hardware, cost, time, and manpower. This study is expected to be useful for machine learning, data mining researchers, practitioners, and machine learning-based system developers. The composition of this study consists of introduction, related research, research model, experiment, conclusion and discussion.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.2
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• pp.178-186
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• 2015

Endurance time is very important indicator to estimate muscle fatigue. In the case of measuring endurance time directly, it is dangerous for subject to perform a test until the point of failure to main time force. Therefore, this paper presents the model to estimate endirance time using indirect measurements such as personal factors and anthropometrical data. Previous studies had shown that personal factors such as gender and age were not related to endurance time, but recently studies have shown that it is estimated by using independent variable or predictor such as GTA (Gravitational Torque of the horizontal, stretched arm) and MVC (Maximum Voluntary Contraction). The present study investigated variables to estimate endurance time using personal factors and anthrometrical data during isotonic contractions. Twenty five healthy subject volunteered for this study, and performed three test sessions of isotonic contraction exercises at 10~50% respectively. Afterward the correlation coefficient and p-values were compared among regression models using personal factors and anthropometrical data. The results demonstrated that multi-regression model had significant coefficient of correlation, and was useful estimate endurance time.

• Korean Journal of Child Education & Care
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• v.18 no.1
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• pp.193-216
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• 2018

The purpose of this study was to analyze the mediating and moderating effect of directors' transformational leadership or transactional leadership between early childhood teachers' emotional labor and their burn out. The subjects were 211 early childhood teachers in the kindergartens and day care centers located in Kyonggido. 'Emotional Labor Assessment for Early Childhood Teachers', 'Assessment of Directors' Transformational Leadership or Transactional Leadership', and 'Early Childhood Teachers' Burn Out Assessment' were used in the collection of data. It used Pearson's correlation and Multi-Regression Analysis to analyze the data. The results of this study are as follows; first, there were positive correlations between early childhood teachers' emotional labor and their burn out. And, there was negative correlations between early childhood teachers' burn out and directors' transformational leadership or transactional leadership. Second, it was revealed that early childhood teachers' emotional labor was found as the positive predict variable for effecting their burn out. Third, it was revealed that directors transformational leadership or transactional leadership was found as the negative predict variable for effecting early childhood teachers' burn out. Fourth, directors' transformational leadership was a mediating effect of job environment dissatisfaction which is a sub area of burn out. In addition, directors' transactional leadership was a mediating effect of physical-emotional exhaustion which is a sub area of burn out.

• Computers and Concrete
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• v.26 no.4
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• pp.309-316
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• 2020

The application of multi-variable adaptive regression spline (MARS) in predicting he long-term compressive strength of a concrete with various admixtures has been investigated in this study. The compressive strength of concrete specimens, which were made based on 24 different mix designs using various mineral and chemical admixtures in different curing ages have been obtained. First, The values of fly ash (FA), micro-silica (MS), water-reducing admixture (WRA), coarse and fine aggregates, cement, water, age of samples and compressive strength were defined as inputs to the model, and MARS analysis was used to model the compressive strength of concrete and to evaluate the most important parameters affecting the estimation of compressive strength of the concrete. Next, the proposed equation by the MARS method using particle swarm optimization (PSO) algorithm has been optimized to have more efficient equation from the economical point of view. The proposed model in this study predicted the compressive strength of the concrete with various admixtures with a correlation coefficient of R=0.958 rather than the measured compressive strengths within the laboratory. The final model reduced the production cost and provided compressive strength by reducing the WRA and increasing the FA and curing days, simultaneously. It was also found that due to the use of the liquid membrane-forming compounds (LMFC) for its lower cost than water spraying method (SWM) and also for the longer operating time of the LMFC having positive mechanical effects on the final concrete, the final product had lower cost and better mechanical properties.

• Health Policy and Management
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• v.27 no.4
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• pp.276-283
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• 2017

Background: Electronic cigarette (e-cigarette) has rapidly increased. Even though e-cigarettes are actually not smoking cessation alternative supplies, some people perceive them as smoking cessation alternative supplies. The purpose of this study is to identify the relationship between e-cigarette experiences and smoking cessation behaviors among Korean adults. Methods: Cross-sectional data was collected from 7,550 participants of Korea National Health and Nutrition Examination Survey in 2014. A total of 867 participants who were current smokers were enrolled in this study. Multi-variable logistic regression analysis were performed to identify the relationship between the smoking cessation behavior and the e-cigarette experience. Results: The e-cigarette experience rate of current smokers was 22.1%. The e-cigarette experience rate was higher in groups with the higher income, the higher education level, and the white collar jobs. Smokers with experience of smoking cessation (odds ratio [OR], 3.03; 95% confidence interval [CI], 1.67 to 5.76) and with intention to smoking cessation in the future (OR, 1.59; 95% CI, 1.05 to 2.43) were more likely to experience the e-cigarette. Especially, smokers who used smoking cessation alternative supplies were more likely to experience the e-cigarette than smokers who did not use it (OR, 2.87; 95% CI, 1.59 to 5.18). Conclusion: We confirmed that e-cigarette experiences were associated with smoking cessation experience, smoking cessation plan, and use of smoking cessation aid among smokers in Korea. Additional studies should be continued to confirm whether e-cigarette are continuously influencing the smoking cessation of current smokers in South Korea as one of the smoking cessation alternative supplies.

• Research in Community and Public Health Nursing
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• v.14 no.2
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• pp.287-298
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• 2003

The purpose of the study was to develop an integrated prevention program to strengthen elders self-care capability and to examine its effectiveness on their psychological condition. This study used one group pre- and post-test design. Subjects were 85 elderly residents (over 65 years of age) who lived alone, and received free basic medical care and social welfare services in a rural community in Korea. Subject eligibility criteria for this study were to an elders who 1) is not currently taking any anti-depressant medication 2) is able to communicate, and 3) agrees to participate in this study. The integrated program was composed of horticulture, reminiscence, and friendship activities. Twelve sessions were provided for 12 weeks in community-based partnerships to achieve better outcomes. The intervention was case-managed by a public health nurse and aided by six volunteers. The main outcome variable was depression, which was assessed by using 15 items selected from the Geriatric Depression Scale-short form Korean version. Socio-demographic characteristics, functional status, and satisfaction with social support were used as covariates. Results showed that there was a significant intervention effect at post-intervention time point compared to pre-intervention time point(E.S. 0.94). Multiple linear regression analysis showed significant interaction effects between intervention and satisfaction with social support. These findings must be interpreted within the context that an effects of an integrated program could be more synergistically increased when social support factor is considered in the program. A community-based integrated prevention program of depression is effective for vulnerable rural elderly. It is suggested that randomized controlled trials within community setting for better methodological strength as well as multi-level outcomes on community need to be conducted in future.

• Journal of Korean Academy of Nursing
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• v.41 no.6
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• pp.780-787
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• 2011

Purpose: This study was conducted to examine activities of daily living (ADL) of older adults admitted to Korean long-term care hospitals (LTCHs), and to explore the patient and organizational factors that have an impact on the ADL of this population. Methods: A secondary analysis of the Korean minimum data set (K-MDS) of patients (N=14,369) and of the profiles of LTCHs (N=358) from the Health Insurance Review and Assessment Service was done between January and July 2008. The outcome variable was ADL score 6 months after baseline assessment. Multi-level linear regression was employed to explore the patient and organizational factors that affected ADL scores. Results: Of the patients, 45.4% had a baseline ADL score of between 31 and 40, with a score of 40 indicating that the patient was entirely dependent for all items. None of the organizational characteristics were significantly associated with effects on the ADLs of older adults who had been in a LTHC for at least 6 months. However, patient characteristics, such as age, baseline ADL, frequency of physical therapy, urinary incontinence, fecal incontinence, pressure ulcers, and having a tube or catheter, were significantly associated with ADL 6 months after baseline. Conclusion: In order to maintain and improve the ADL of older adults in LTCHs, we should develop strategies to prevent urinary and fecal incontinence, pressure ulcers, unnecessary tubes or catheters, providing adequate physical therapy. Additional studies should include more detailed information regarding nursing staff, including RN hours for direct care, education level and turnover.