• Journal of Wellbeing Management and Applied Psychology
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• v.4 no.4
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• pp.1-14
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• 2021

Purpose: This study aims to measure the level of satisfaction with the overall education of current students, who are major consumers of education by department at the Health Care Convergence University, and to establish development strategies such as improving education quality and satisfaction by deriving problems and improvements. Research design, data and methodology: This study drew conclusions through secondary data analysis based on data surveyed by the Educational Performance Management Center of a university in the academic year of 2020. The target of the education consumer satisfaction survey was 470 students of the College in the academic year 2020. Frequency analysis and correlation analysis were applied to the data using the statistical package program SPSS 25 version. Results: In the major curriculum satisfaction survey, the department with the highest score was optics and optics, 4.11, and the department with the lowest score was medical IT, 3.29. Conclusions: The department with the highest correlation in the correlation analysis result of the demand survey by department was the Department of Medical Management and the Department of Medical IT, with a correlation coefficient r=0.984, and the lowest correlation in the correlation analysis result of the demand survey by department was the Department of Medical IT and Dental Hygiene, with a correlation coefficient r= -0.085.

• Nuclear Engineering and Technology
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• v.31 no.4
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• pp.375-384
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• 1999

The credibility of CHECWORKS FAC model analysis was evaluated for plant application in a model plant chosen for demonstration. The operation condition at each pipe component was defined before the wear rate analysis by plant data base, water chemistry analysis, and network flow analysis. The predicted wear was compared with the measured wear for 57 sample components selected from 43 susceptible line groups analysed. The inspected 57 locations represent components of highest predicted wear in each line group. Both absolute value and relative ranking comparisons indicated reasonable correlations between the predicted and the measured values. Four components showed much higher measured wear rates than the predicted ones in the feed water train from main feed water pump discharge to steam generator, probably due to high hydrazine concentration operation the effect of which had not been incorporated into the CHECWORKS model. The measured wear was higher than the predicted one consistently for components with least susceptibility to FAC. It is believed that the conservatism maintained during UT data analysis dominated the measurement accuracy. A great deal of enhancement is anticipated over the current plant pipe management program when a comprehensive plant pipe management program is implemented based on the model analysis.

• Journal of Korean Biological Nursing Science
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• v.24 no.2
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• pp.131-139
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• 2022

Purpose: This study aimed to examine the changes in stress, occupational stress, and subjective health problems of novice female nurses within the first 18 months of work. Methods: This was a longitudinal study conducted with a secondary data analysis based on the Shift Work Nurse's Health and Turnover (SWNHT) study. The participants were 178 female novice nurses who participated in all 3 data collection activities (on the first day of orientation before ward placement [T0], 6 months after work [T1], and 18 months after work [T2]). The stress, occupational stress, 8 subjective health problems (upper musculoskeletal pain, leg/foot discomfort, depression, anxiety or emotional disorder, sleep disturbance, headache, gastrointestinal disorder, menstrual disorder, and others), and the greatest health problem during the study period were measured, respectively. Data were analyzed using SPSS 26.0 to obtain descriptive statistics. Results: The subjective health of novice female nurses were found to be poor at T1 compared to T0 on both physical (upper musculoskeletal pain, leg/foot discomfort, and sleep disturbance) and psychological health problems (depression and stress). However, the psychological health problems of the participants were alleviated at T2 whereas; physical health problems persisted until T2. Conclusion: Novice nurses had poor health problems 6 months after work. Sleep disturbance and musculoskeletal pain persisted although other health problems such as depression and stress were alleviated over the period. Strategies to prevent and manage different health problems of novice female nurses at different work duration are urgently needed.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.25 no.3
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• pp.346-354
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• 2015

Objectives: This study was conducted to evaluate the changes and regional differences of mortality and morbidity particularly respiratory system diseases in the area of exposure to coal dust(Ansim area, Dong-gu, Daegu). Methods: The authors analyzed secondary data(cancer registration data, mortality data, and health insurance data) for respiratory system diseases. We calculated age standardized incidence ratio(SIR), mortality ratio(SMR), and health care utilization ratio(SHR) using those data. Results: There were no significant differences between Ansim area(or Dong-gu, Daegu) and the control area for cancer registration data and mortality data. In the results for the health insurance data, significant increased SHR in asthma was observed compared to the control area. Conclusions: Although confounders such as selection bias were not clearly ruled out, our findings reveal increased asthma SHR in the area of exposure to coal dust. Further prospective studies are required to clarify the increasing respiratory disease due to exposure to coal dust.

• Journal of the Korean School Mathematics Society
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• v.23 no.3
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• pp.397-425
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• 2020

Statistical literacy is a key ability expected of citizens in information-laden societies, and is often revealed as an expected outcome of schooling and as a necessary component of adults' numeracy and literacy. Knowing how important statistical literacy is, the purpose of this research was to measure statistical literacy of adults and secondary mathematics teachers. This study explored the statistical literacy based on the level of understanding in poll results and analyzed the data obtained through semi-structured interviews with 20 secondary mathematics teachers and 20 adults. As a result, the following conclusions were obtained: First, few secondary mathematics teachers and adults correctly recognized the meaning of statistical terms and expressions included in the poll results. Second, 70% of research participants did not reach levels 3 or 4 of statistical literacy levels. Third, the statistical literacy level of secondary mathematical teachers was higher than that of adults.

• Asian Journal of Atmospheric Environment
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• v.8 no.3
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• pp.126-139
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• 2014

In order to estimate the influence of sources on $PM_{2.5}$ in the industrial area of Japan, we carried out a source analysis using chemical component data of $PM_{2.5}$. $PM_{2.5}$ samples were collected intermittently at an industrial area in Japan from July 2010 to November 2012. Water soluble ions ($Cl^-$, $NO_3{^-}$, $SO{_4}^{2-}$, $Na^+$,$NH_4{^+}$, $K^+$, $Mg^{2+}$, $Ca^{2+}$), elements (Al, K, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn, As, Cd, Sb, Pb), and carbonaceous species (OC, EC) of the $PM_{2.5}$ (a total of 198 samples) were analyzed. Positive Matrix Factorization (PMF) model was applied to the data of those chemical components to identify the source of $PM_{2.5}$. At this observation site, nine factors were extracted. The major contributors of $PM_{2.5}$ were secondary sulfate 1, in which loading factors of $SO{_4}^{2-}$ and $NH_4{^+}$ were large (percentage source contribution: 20.9%), traffic, in which loading factors of OC (organic carbon) and EC (elemental carbon) were large (20.8%), secondary sulfate 2, in which loading factors of K and $SO{_4}^{2-}$ were large (8.0%), steel mills (7.8%), secondary chloride and nitrate (7.0%), soil (5.0%), heavy oil combustion (3.8%), sea salt (3.8%), and coal combustion (2.3%). The conditional probability function (CPF) and the potential source contribution function (PSCF) were carried out to examine the influence of a regional source and a broad-based source, respectively. CPF results supported local source influences such as steel mills, sea salt, traffic, coal combustion, and heavy oil combustion. PSCF results suggested that ships in the East China Sea, an industrial area of the east coastal region of China, and an active volcano in the Kyushu region of Japan were potential regional sources of secondary sulfate 1. Secondary sulfate 2 was affected by the burning of biomass fields and by coal combustion in Chinese urban areas such as Beijing, Hebei, and western Inner Mongolia. Source characterization using continuous data from one site showed a potential source representing fossil fuel combustion is affected both by regional and broad-based sources.

• Health Policy and Management
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• v.30 no.2
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• pp.221-230
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• 2020

Background: The purpose of this study is to identify the factors affecting the depressive mood experience of adults in their 20s. Methods: This study is a descriptive survey that conducted a secondary analysis using data from the 2017 Community Health Survey, which is conducted annually in Korea. The study targets 21,324 adults in their 20s. Data analysis was conducted after creating a composite sample plan file that reflected layering variables, colony variables, and weights. Results: Factors affecting the depressive mood experience were suicide thought experience, subjective stress level, gender, monthly household income, smoking status, subjective health level, breakfast status, participation in social activities, and whether the Internet, games, and smartphone interfered with daily life (p<0.05). Conclusion: It is necessary to establish and realize a system that enables early detection and support of depression and suicide high-risk groups at the individual, home, community, and national levels.

• The Korean Journal of Health Service Management
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• v.8 no.1
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• pp.41-50
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• 2014

This study was a descriptive study to investigate factors affecting sleep time in the Korean elders. A secondary data analysis was conducted using the data of "The Fifth Korea National Health and Nutrition Examination Survey, 2011". The survey included 3,487 people aged over 65 years and 1,163 samples were used for this study. Data were analyzed with the ${\chi}^2$-test and logistic regression using the SPSS/WIN 18.0 program. Analysis showed that sleep time was related with the number of chronic disease and limit on the activities of daily living(ADL). These findings suggest that nursing researchers need to consider chronic disease, and ADL as important factors affecting sleep time of Korean elders. Therefore nursing intervention focusing on the issues in needed to develope.

• Journal of Korean Home Economics Education Association
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• v.6 no.1
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• pp.61-72
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• 1994

The purpose of this research are (1) determining the basic concepts of clothing field which are included in the middle and high school home economics education curriculum ; (2) comparing the extent of need to those three groups; (3) classifying the basic concepts into units; (4) ana-lyzing the extent of need by units and providing basic data for curriculum revision. The data collecting methods of this research is questionair and the contents of this are the same. The subjects are 1085 students, 402 teachers and 80 professors. The data was analyzed by one-way ANOVA, scheffe test and factor analysis. The results were as follows: (1) 43 basic concepts were determined. (2) While the extent of need in the teachers and professors was high, that of students was me-dium or lower than the other two groups. (3)The extent of need to 40 concepts among three groups were significantly different. (4)According to the results from the factor analysis 7 units were formed. (5)‘Accurate dressing’was the most needed thing among three groups.

• Journal of Korean Academy of Nursing Administration
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• v.8 no.2
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• pp.207-219
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• 2002

The purposes of this research were to: a) define the changing trends of DRGs in comparison to the National Data, b) define the changing trends of Nursing Diagnoses and Nursing Interventions for the 5 most frequently occurring Diagnostic Related Groups (DRGs) across 3 years, and c) define the relationships between nursing diagnoses and nursing Interventions for the 5 most frequently occurring DRGs across the 3 years. This study was a secondary data analysis of medical and nursing data based on the United States Nursing Minimum Data Set and the Uniform Hospital Discharge Data Set retrieved from a Midwestern USA medical center. The results showed interesting comparisons with national statistics as well as practice relevant trends within the nursing data. Additionally, the results showed the possibility that nursing data can be extracted from the medical data, so they can used in the nursing productivity and cost issues etc. In conclusion, this study supports the power of minimum data sets and nursing classifications to begin to describe a more global perspective the inter-relationships and trends of nursing data within the medical diagnosis context.