• 한국치위생학회지
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• 제17권2호
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• pp.259-269
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• 2017

Objectives: The purpose of this study was to review the correlation between self-concept and organization of socialization in professional settings among dental hygienists. Methods: Statistical analysis was carried out on the collected data to identify any correlation between frequency and percentages. Cronbach's alpha value and one-way ANOVA were conducted. SPSS 12.0 was used to conduct a correlation analysis on self-concept and socialization in professional settings. Validity of the research tools was also confirmed. Results: There was a correlation between the identity and job satisfaction, with the figures showing great variance. Satisfaction was correlated with the nature of the corporation and job performance. In addition, communication had a negative correlation between job characteristics and identities, job performance, while, organizational commitment and positive correlation showed a statistically significant difference. Conclusions: The study reviewed the impact on organizational socialization. The dental hygienist is believed to be on going research into developing more effective and systematic training programs so that they can be effectively socialized society organizations to improve the professional self-concept.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2018년도 학술발표회
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• pp.493-493
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• 2018

The purpose of this study was to analyze the correlation between the effluent of the sewage treatment plant (STP) and the adjacent stream located downstream of the STP in Nakdong River. The flow and water quality such as BOD, COD, SS, T-N, and T-P data for 12 STPs and adjacent downstream monitoring stations in the main stream and tributaries of Nakdong River were collected from 2012 to 2015. As a result of correlation analysis between river flow and water quality at the river water quality measurement point, COD, SS and T-P were correlated positively with river flow rate at 6, 8, and 6 points, respectively. As a result of analyzing the water quality of sewage treatment plant effluent and downstream stream, BOD and COD were correlated at 2 and 3 points, respectively. T-N showed a positive correlation at 9 points, and 7 of them had a strong positive correlation, indicating that sewage treatment effluent had a large effect on downstream streams. In this study, we found that the correlation between river flow rate and water quality factors (COD, SS, TP) was high for river water measurement points, and the sewage treatment plant effluent was correlated with the T-N value of adjacent streams.

• International Journal of Contents
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• 제18권1호
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• pp.17-26
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• 2022

With the acceleration of urbanization and industrialization, air pollution has become increasingly serious, and the pollution control situation is not optimistic. Climate change has become a major global challenge faced by mankind. To actively respond to climate change, China has proposed carbon peak and carbon neutral goals. However, atmospheric pollutants and meteorological factors that affect air quality are complex and changeable, and the complex relationship and correlation between them must be further clarified. This paper uses China's 2013-2018 high-resolution air pollution reanalysis open data set, as well as statistical methods of the Pearson Correlation Coefficient (PCC) to calculate and visualize the design and analysis of environmental monitoring big data, which is intuitive and it quickly demonstrated the correlation between pollutants and meteorological factors in the temporal and spatial sequence, and provided convenience for environmental management departments to use air quality routine monitoring data to enable dynamic decision-making, and promote global climate governance. The experimental results show that, apart from ozone, which is negatively correlated, the other pollutants are positively correlated; meteorological factors have a greater impact on pollutants, temperature and pollutants are negatively correlated, air pressure is positively correlated, and the correlation between humidity is insignificant. The wind speed has a significant negative correlation with the six pollutants, which has a greater impact on the diffusion of pollutants.

• 인터넷정보학회논문지
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• 제19권4호
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• pp.65-70
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• 2018

Programming ability becomes an essential ability for elementary and secondary school students as well as computer science major students in modern information society. Thus, improving programming ability has long been a research project for computer scientists and teachers in IT areas. There have been many research works for improving programming ability in various ways. At first glance, emotional intelligence is generally known as humanistic intelligence, and nothing to do with computer areas. In the recent works, emotional intelligence has a correlation with various subjects. The purpose of this paper is to analyze correlation between emotional intelligence and programing ability. For this purpose, extensive survey works are carried out and statistical results are analyzed. Based on statistical analysis, it is concluded that there is a correlation between emotional intelligence and programming ability.

• Nuclear Engineering and Technology
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• 제54권7호
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• pp.2510-2518
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• 2022

The main purpose of collecting and analyzing operating experience events is to look for insights to improve safety. The underlying assumption is the correlation and causality between events with different safety significances. The analysis of this assumption could be valuable to optimize operating experience feedback programs and to enhance safety. This paper analyses the correlation between events with different safety significances. Groups of events from six nuclear energy related databases are considered. The findings are that a correlation exists but with various levels and not as large or consistent as might be expected across different databases. These results might be the basis for further work to analysis causality, to find out how a similarity in causes influences the correlation, and finally to improve the operating experience program.

• Ocean and Polar Research
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• 제43권1호
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• pp.15-30
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• 2021

In this study, using 16 ORA-IP (Ocean Reanalysis Intercomparison Project) data, we investigated spatial and temporal changes of net surface heat flux in the East Asian seas and presented a new ensemble net surface heat flux index. The ensemble net surface heat flux index is produced considering the data distribution and the standard deviation of each ORA-IP. From the correlation analysis with air temperature averaged over the Korean Peninsula, ensemble net heat flux around the Korea Strait shows the highest correlation (0.731) with a 3 month time lag. For the correlation study regarding precipitation over the Korean Peninsula, it also shows significant correlation especially in winter and spring seasons. Similar results are also found in comparison with climate indices (AO, PDO, and NINO3.4), but ensemble net surface heat flux data in winter season reveals the strongest correlation patterns especially with winter temperature and spring precipitation.

• 대한한방내과학회지
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• 제41권3호
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• pp.434-446
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• 2020

Objectives: The cardio-ankle vascular index (CAVI) and ankle-brachial index (ABI) are non-invasive methods to evaluate cardiovascular disease and arteriosclerosis. This study investigated the relationship between CAVI, ABI, and factors related to arteriosclerosis. Methods: This study included 535 healthy adults who underwent health examinations in 2019. We analyzed the correlation between CAVI, ABI and clinical variables. Multiple regression analysis was performed on the independent clinical variables associated with CAVI and ABI. Results: The correlation analysis of CAVI showed that body mass index (BMI) and HDL-cholesterol (HDL-C) had a negative correlation, and the other variables had a significant positive correlation. The correlation analysis with ABI on the right side showed that age, diastolic blood pressure (DBP), gender, and LDL-cholesterol (LDL-C) had a significant positive correlation, while HDL-C had a significant negative correlation. There was no statistical significance on the left. In the multiple regression analysis, DBP, age, BMI, gender, and HDL-C were proved to be independent factors in CAVI (right) (R²=0.365); DBP, age, gender, BMI, fasting blood sugar, and total cholesterol in CAVI (left) (R²=0.357); and age, gender, DBP, and systolic blood pressure in ABI (right) (R²=0.133). There were no statistically significant factors in ABI (left). It could be inferred that smoking and drinking are determinants that play an important role in CAVI. Conclusion: CAVI showed a high correlation with gender, age, and blood pressure. A significant correlation between CAVI and serum lipid values could be observed, but this showed a low correlation coefficient. ABI showed a high correlation with age and DBP. These results support the use of CAVI and ABI as primary diagnostic devices in medical treatment.

• 한국자동차공학회논문집
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• 제10권2호
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• pp.220-227
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• 2002

This paper describes an integrated approach process to carry out pre-test, model correlation and updating analysis on the sub-frame of a vehicle. In this study, it was found that the modal test could be more efficient when the exciting point was selected on the area with high driving point residue. Such area could be located with the aid of finite element modal analysis. The model correlation was appraised in conjunction with the modal parameters between modal test and finite elements analysis. Also, the finite element model updating was obtained the good resultant using the iteration method based on sensitivity analysis results that carried out the variation of natural frequencies and MAC for the material properties. Finally, optimization of vehicle subframe was carried out the analysis of core location and physical properties by tow steps.

• 소음진동
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• 제6권3호
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• pp.305-315
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• 1996

Present paper aims at the correlation of modal characteristics of folding fin between test and analysis using an optimization theory. Folding fin is composed of a movable fin, a base fin, and many functional components related to the folding mechanism. Joint parts of folding fin in FEM are initially modeled as rigid elements resulting some difference between test and analysis in modal characteristics. Therefore, some equivalent springs representing joint parts are introduced to improve the FEM model. The springs were set as design variables, while the frequency difference between test and analysis was set as the object function. Bayesian procedure was ujsed for the minimization.

• Communications for Statistical Applications and Methods
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• 제10권3호
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• pp.695-705
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• 2003

In this article, we propose a regression and correlation analysis via dynamic graphs and implement them in Java Web Start. For the polynomial relations between dependent and independent variables, dynamic graphics are implemented for both polynomial regression and spline estimates for an instant model selection. The results include basic statistics. They are available both as a web-based service and an application.