• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.674-682
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• 2020

Recently, the problem of air pollution has become a global concern due to industrialization and overcrowding. Air pollution can cause various adverse effects on human health, among which respiratory diseases such as asthma, which have been of interest in this study, can be directly affected. Previous studies have used clinical data to identify how air pollutant affect diseases such as asthma based on relatively small samples. This is high likely to result in inconsistent results for each collection samples, and has significant limitations in that research is difficult for anyone other than the medical profession. In this study, the main focus was on predicting the actual asthmatic occurrence, based on data on the atmospheric environment data released by the government and the frequency of asthma outbreaks. First of all, this study verified the significant effects of each air pollutant with a time lag on the outbreak of asthma through the time-lag Pearson Correlation Coefficient. Second, train data built on the basis of verification results are utilized in Deep Learning algorithms, and models optimized for predicting the asthmatic occurrence are designed. The average error rate of the model was about 11.86%, indicating superior performance compared to other machine learning-based algorithms. The proposed model can be used for efficiency in the national insurance system and health budget management, and can also provide efficiency in the deployment and supply of medical personnel in hospitals. And it can also contribute to the promotion of national health through early warning of the risk of outbreak by atmospheric environment for chronic asthma patients.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.3
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• pp.1989-2001
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• 2015

This study was conducted to identify the recognition for nursing competency importance, nursing competency level, and their influencing factors of nurses in the long-term care hospitals. Participants were 243 nurses who were working in the 11 long-term care hospitals. Data were collected from August 25 to September 3, 2014. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation and multiple regression by SPSS 19.0. Mean scores of the recognition for nursing competency importance and nursing competency level were $4.21{\pm}0.48$ and $3.47{\pm}0.46$ respectively. Nursing competency level was significantly lower than the recognition for nursing competency importance. The variable influencing the recognition for nursing competency importance was the position(${\beta}=.19$). The variables influencing the nursing competency level were the recognition of nursing competency importance (${\beta}=.37$), age (${\beta}=.20$), current work experience (${\beta}=.13$), health status (${\beta}=.13$). The results suggest the need of developing measurement tool and nursing competency enhancement programs which can well reflect the characteristics of nursing competency required in the long-term care hospital.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.5
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• pp.445-455
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• 2017

This study was conducted to identify the relevance between postpartum women'sfatigue and breast-feeding rate in accordance with the types of rooming-in care at one hospital in Seoul. The data were collected by using a self-report questionnaire between June and July of 2014. All subjects were full-time rooming-in group, with 64 mothers and part time rooming-in group, 43 mothers. The collected data were analyzed using SPSS 22.0 windows program. The result supported Hypothesis 1, in which the number of full-time rooming-in group's daily breast-feeding would out number that of part time rooming-in group. Hypothesis 2, on the other hand, which was that the breast-feeding rate would differ between the full-time rooming-in and the part-time rooming-in groups was overruled. Hypothesis 3, in which the fatigue of the full-time rooming-in group would be higher than the part-time rooming-in group was supported. Hypothesis 4, in which postpartum women'sfatigue would relate to breast-feeding rate during hospitalization period was overruled. Thus, based on this research, it is suggested that rather than collectively running the full-time rooming-in care, part-time rooming-in care that is individualized with considerations to the conditions of the mothers and new-born should be considered.

• Korean Journal of Remote Sensing
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• v.33 no.2
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• pp.201-211
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• 2017

The estuary in Nakdong River has changes by the construction of harbors, land reclamation and artificial waterway changes. These resultslead to changes of extinction and creation of deltaic barrier island. The deltaic barrier island changes in the Nakdong River estuary affect the function of the barrier islands and cause environmental changes. Therefore, it is important to monitor the changes in the area of the Nakdong estuary. In this study, long-term changes of the area and suspended sediment of deltaic barrier island in the Nakdong River estuary were analyzed using Landsat TM/ETM+ images. As a result, end point rate (EPR) values of shoreline in Jinwoodo and Sinjado are about 5m/yr and about 50 m/yr, respectively. The EPR values of north-south and east-west direction in Doyodeung are 20 m/yr and -20 ~ 10 m/yr. The suspended sediment concentration (SSC) has a maximum value of $25g/m^3$ in the vicinity of Jinwoodo and Sinjado, while it has a maximum concentration of $40g/m^3$ in the vicinity of Shinjido and Doyodeung. In other words, the area and the SSC change are small in Jinwoodo, and the area change and the SSC variation are large in Sinjado and Doyodeung. As a result of analysis of correlation between area change and SSC variation using all data, the Pearson coefficient value (r) is 0.36 and it is 0.32 in winter data. In other words, it is considered that the SSC variation affectsthe deltatic barrier island area change. However, verification using advanced altimetry data is necessary in the future. These studies can be used for coastal monitoring and environmental monitoring.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.277-287
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• 2014

In LBSNS(Location-based Social Network Service), users can share locations and communicate with others by using check-in data. The check-in data consists of POI name, category, coordinate and address of locations, nickname of users, evaluating grade of locations, related article/photo/video, and etc. If you analyze the check-in data from the location-based social network service in accordance with your situation, you can provide various customized services. Therefore, In this paper, we develop a location recommendation system based on LBSNS that can utilize the check-in data efficiently. This system analyzes the location category of the check-in data, determines the weighted value of it, and finds out the similarity between users by using the Pearson correlation coefficient. Also, it obtains the preference score of recommended locations by using the collaborated filtering algorithm and then, finds out the distance score by applying the Euclidean's algorithm to the recommended locations and the current users' locations. Finally, it recommends appropriate locations by applying the weighted value to the preference score and the distance score. In addition, this paper approved excellence of the proposed system throughout the experiment using real data.

• Korean Journal of Childcare and Education
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• v.8 no.5
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• pp.179-202
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• 2012

This study examined the relationship among children's theory of mind, social skills, and emotional intelligence. A total of 76 five-year old children in the Seoul area participated in this study. Children were tested on three different type of theory of mind tasks and teachers rated their children's emotional intelligence and social competency. SPSS 18, t-test, correlation analysis, and step-wise of multilateral regression were performed for data collection. The results were as follows: First, 40.8% of participants passed the task of theory of mind. There were significant differences in total score of theory of mind, social competence skills, and emotional intelligence between successors and failures. Second, by gender, there were significant differences in total score of theory of mind, social competence skills, and emotional intelligence. Third, there was a relationship between theory of mind and social competence skills, social competence skills and emotional intelligence, and theory of mind and emotional intelligence.

• Journal of dental hygiene science
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• v.5 no.3
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• pp.97-103
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• 2005

Irritation fibroma (IF) is the most common tumor-like oral lesion that is evolved by proliferation of collagen in response to chronic irritation. Oral leukoplakia (OL) is considered as precancerous lesion characterized by proliferation of epithelial cells due to chronic irritation, smoking and drinking. TGF-${\beta}1$ and EGFR are important factors that play an essential role in extracellular matrix remodeling during normal wound healing process. The epithelial reaction by chronic irritation may be connected with pathogenesis of IF and OL. In the present study, we examined the expression of TGF-${\beta}1$ and EGFR in the IF and OL using immunohistochemistry. We used 88 cases of IF, 44 cases of OL and 9 cases of normal oral mucosa as normal control. TGF-${\beta}1$ was decreased in the epithelium of IF and OL. As for EGFR, the epithelial cells revealed the increased positive expression in IF and OL. In case of OL, the Spearman correlation coefficient of TGF-${\beta}1$ and EGFR was -0.10 (p< 0.05), which showed weak correlation. In the fibrous tissue, TGF-${\beta}1$ was increased only in IF. The expression difference of TGF-${\beta}1$ and EGFR may be involved in the pathogenesis of IF and OL.

• Journal of Digital Convergence
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• v.12 no.2
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• pp.409-415
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• 2014

This study was done to identify the relationships between nursing practice stress and stress coping for the nursing students in Korea. Data were collected at 2 universities located in C city in Korea. Participants were 160 nursing students. Data were analyzed by SPSS 18.0 using descriptive statistics and Pearson's correlation coefficient. Nursing practice stress was $2.72{\pm}6.2$. Stress coping was $2.60{\pm}0.37$. Stress was correlated with wishful thinking coping strategy when doing orientation (r=0.32, p<0.01), conference(r=0.52, p<0.01), homework(r=0.29, p<0.01). Stress for practice exam was correlated with problem focused coping strategy(r=0.31, p<0.05). Stress was correlated with positive view coping strategy when face nurse(r=0.31, p<0.01) or interpersonal relations(r=0.35, p<0.01). Stress related to practice environment and class was correlated with indifference (r=0.26, p<0.01) and tension relieve strategy (r=0.28, p<0.01). There's no stress when they meet or serve direct care to patients. Students managed the stress by showing active coping pattern. It is considered that the experience gave students an excellent capacity to cope with stress. Since the degree of stress and coping pattern can differ from adaptability of situation, a research of change in clinical training stress by seasonal clinical training and coping patter is proposed.

• Journal of The Korean Association For Science Education
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• v.23 no.6
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• pp.671-683
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• 2003

The purpose of study was to investigate practicing elementary teachers' pedagogical content knowledge and the significant predictors of their pedagogical content knowledge in science teaching. The PCK instrument was used to measure elementary teachers' pedagogical content knowledge. It consists of 6 factors to measure teachers' pedagogical content knowledge of 1)instructional methods, 2)representations, 3)contents, 4)evaluations, 5)students, and 6)curriculum. A questionnaire that consists of 7 questions regarding the teachers' degree, their number of years of teaching their choice of teaching science, their personal science teaching efficacy, their science teaching outcome expectation, their science instructional methods, and their attitudes toward teaching science, was also used to identify the information as to significant predictors of teachers' pedagogical content knowledge. A sample of 332 practicing elementary teachers participated in this study. To determine statistically significant predictors, Pearson's correlation coefficient and multiple regression methods were used to analyze the results. The results showed that the significant predictors of practicing elementary teachers' pedagogical content knowledge were their number of years of teaching, their science instructional methods, their personal science teaching efficacy and their attitudes toward teaching science. Further research of how teachers develop and construct their pedagogical content knowledge is recommended especially through the use of varied research methodologies that include qualitative methods.

• Journal of Korea Water Resources Association
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• v.49 no.8
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• pp.645-656
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• 2016

The study performed a regional flood frequency analysis and proposed a regression equation to estimate design floods corresponding to return periods for ungauged basins in Geum-river basin. Five preliminary tests were employed to investigate hydrological independence and homogeneity of streamflow data, i.e. the lag-one autocorrelation test, time homogeneity test, Grubbs-Beck outlier test, discordancy measure test ($D_i$), and regional homogeneity measure (H). The test results showed that streamflow data were time-independent, discordant and homogeneous within the basin. Using five probability distributions (generalized extreme value (GEV), three-parameter log-normal (LN-III), Pearson type 3 (P-III), generalized logistic (GLO), generalized Pareto (GPA)), comparative regional flood frequency analyses were carried out for the region. Based on the L-moment ratio diagram, average weighted distance (AWD) and goodness-of-fit statistics ($Z^{DIST}$), the GLO distribution was selected as the best fit model for Geum-river basin. Using the GLO, a regression equation was developed for estimating regional design floods, and validated by comparing the estimated and observed streamflows at the Ganggyeong station.