• Journal of Oriental Neuropsychiatry
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• v.11 no.2
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• pp.149-154
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• 2000

Objectives:This study was to investigate the post-stroke depression morbidity and to evaluate the post-stroke depression in relation to activities of daily living by using BDI(Beck's Depression Inventory)and MBI(Modified Barthel Index) in 45 patients with stroke. Methods:The subjects of this study were 45 stroke patients who were admittied to the Dong-Seo oriental hospital.The post-stroke depression was determined by using the BDI and the evaluation of activities daily living was measured by using the MBICollected data analysis were completed by using correlation analysis.Results:1. The post-stroke depression morbidity was 30%.2. The post-stroke depression have no significant correlation with activities of daily living skills.Conclusions:This study shows that the post-stroke depression have no significant correlation with impairment in activities of daily living.Advanced studies are required to investigate other factors that influence post-stroke depression and post-stroke depression follow-up studies.

• Journal of the Korea institute for structural maintenance and inspection
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• v.21 no.1
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• pp.23-29
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• 2017

In this study, a post-correlation analysis for shaking table test of square water storage tank is presented for the use of advances in earthquake-resistant design of liquid storage tank. For this purpose, the ANSYS CFX program is selected for the CFD analysis. Sensitivity analysis for resonant sloshing motion in terms of grid size and turbulence model suggested that (1) horizontal grid size as well as vertical grid size is a key variable in the sloshing analysis, and (2) the SST turbulence model is best for the sloshing analysis. Finally, correlation analyses for a non-resonant harmonic input and scaled earthquake excitation of the El Centro (1940) NS component are carried out using the grid and turbulence model established through the post-correlation analysis for the resonant motion. As a result, sloshing time histories by the CFD analysis agreed very well with the test results.

• The Journal of Fisheries Business Administration
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• v.42 no.2
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• pp.1-14
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• 2011

We try to find the determinants of fisheries firms' capital structure during the years from 1992 to 2007 in this paper. We also have a comparative analysis of capital raising behavior in pre and post-IMF financial crisis. Regression analysis is used for this empirical study. Dependent variable is leverage ratio and independent variables are firm size, operating risk, proportion of tangible asset, non-debt tax shield effect, sales growth ratio, profitability and dummy variable. We compared the characteristics of fisheries industry with that of manufacturing industy. The determinants of fisheries firms' capital structure and correlation between pre and post-IMF financial crisis are roughly same as the hypothses except a little difference. As a peculiar difference, corrlation between fisheries firms' operating risk and leverage ratio is (+) in the pre-IMF financial crisis, but (-) in the post-IMF financial crisis. Proportion of tangible asset has a (+) correlation with leverage ratio in pre and post-IMF financial crisis, but in case of manufacturing industy, (-) correlation shows in the pre-IMF financial crisis. Because, in the pre-IMF financial crisis, high proportion of tangible asset doesn't play a role of a collateral, but only increase the bankruptcy probability. Non-debt tax shield effect and leverage ratio have (-) correlation in all industry and all period, but only (+) correlation in case of fisheries industry in the pre-IMF financial crisis. Sales growth ratio has no significant relationship with leverage ratio in fisheries industry, and this is not coincide with our hypothsis. We have a limitation of the sample size of fisheries firms and sample period in this study. Further study is required to classify the fisheries industry with in-shore fisheries, deep sea fisheries and cold storage industry.

• Journal of Environmental Health Sciences
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• v.31 no.2 s.83
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• pp.134-146
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• 2005

Environmental monitoring system has been adopted and supplemented as inspection measures for the quantitative and qualitative changes of environmental impact assessment (EIA). This study compares the results of environmental impact assessment with the results of post-environmental investigation using a correction and principal component analysis (PCA) in the housing development project. Correlation analysis showed that most of air quality variables including TSP, $PM_{10},\;NO_2$, CO were linearly correlated with each other in the environmental impact assessment and the post-environmental investigation. In the water quality, pH and BOD were well correlated with the DO and SS, respectively. As a result of correlation analysis in the noise and vibration, noise in day and night and vibration in day and night were related to each other between EIA and the post-environmental investigation. From the results of analysis of soil, Cu with Cd, Cu with Pb, and Cd with Pb were related to each other in EIA. Principal component analysis (PCA) showed a powerful pattern recognition that had attempted to explain the variance of a large dataset of inter-correlated variable with a smaller set of independent variables (principal components). Principal component (PC1) and principal component (PC2) were obtained with eigenvalues> 1 summing almost $90\%$ of the total variance in the all of the items(air, water, noise, vibration and soil) in EIA and post-environmental investigation.

• Proceedings of the Earthquake Engineering Society of Korea Conference
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• 1997.04a
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• pp.265-272
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• 1997

This paper presents the result of an international cooperative research on the post-correlation analysis of forced vibration tests and the prediction of earthquake responses of a large-scale seismic test structure. Through the post-correlation analysis, the properties of the soil layers are revised so that the best correlation in the responses may be obtained compared with the measured force vibration test data. Utilizing the revised soil properties as the initial linear values, the seismic responses are predicted for an earthquake using the equivalent linearlization technique based on the specified strain dependent characteristics of the shear moduli and damping ratios. It has been found that the predicted responses by the equivalent nonlinear procedure are in excellent agreement with the observed responses, which those using the initial properties are fairly off from the measured results.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.705-715
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• 2021

This study examines the simultaneous impact of gender and administrative post on the research motivation of university lecturers. There are 475 selected questionnaires that are qualified for data processing and the collected data are analyzed by two-way analysis of variance (ANOVA). The results show the relationship between administration involvement and scientific research of lecturers. In general, lecturers with administrative post have higher research motivation than lecturers without administrative post. More specifically, the level of administrative post has positive correlation with research motivation of female lecturers, but has negative correlation of male lecturers. It means that a female lecturer with higher administrative post also has more motivation to conduct research. Conversely, the higher administrative post a male lecturer has, the less research motivation he is. The cause of this difference is the pressure of earning money on Asian men, including Vietnamese men, who are considered to be main breadwinners of their family. When having an administration post, the more chances male lecturers have to earn money, the less time they can spend for scientific research. This suggests that the solution for managers is to perform annual assessment, fulfill promotion process, build up motivation and reward system, and establish recruitment and promotion policies.

• Proceedings of the Korean Nuclear Society Conference
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• 1996.05b
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• pp.586-591
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• 1996

Through the analysis of many experimental post-dryout data, it is shown that the most probable flow regime near dryout or quench front is not annular flow but churn-turbulent flow when the mass flux is low. A correlation describing the initial droplet size just after the CHF position at low mass flux is suggested through regression analysis. In the post-dryout region at low pressure and low flow, it is found that the suggested one-dimensional mechanistic model is not applicable when the vapor superficial velocity is very low, i.e., when the flow is bubbly or slug flow regime. This is explained by the change of main entrainment mechanism with the change of flow regime. Therefore, the suggested correlation is valid only in the churn-turbulent flow regime ( $j_{g}$ $^{*}$＝0.5~4.5).).

• Proceedings of the KSRS Conference
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• 1999.11a
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• pp.425-428
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• 1999

The radar interferogram represents phase differences between the two synthetic aperture radar observations acquired in slightly different angle. The success of the radar interferometric application largely depends on the quality of the interferogram generated from two or more synthetic aperture radar data sets. We propose here to apply the wavenumber correlation analysis to the in-phase and quadrature phase of the radar interferogram. The wavenumber correlation analysis is to resolve the highly correlated components from the low correlation components by estimating correlation coefficients for each wavenumber component. Through this approach, one can easily distinguish the signal components from the noise components in the wavenumber domain. Therefore, the wavenumber correlation analysis of the radar interferogram can be utilized to design post filter and to estimate the quality of interferogram. We have tested the wavenumber correlation analysis using a Radarsat SAR data pair to demonstrated the effectiveness of

• Journal of Industrial Convergence
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• v.22 no.4
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• pp.39-48
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• 2024

This study is a descriptive research study to determine the stress, resilience, and social support of nurses who cared for COVID-19 patients and the impact on post-traumatic growth. The survey was conducted on 179 nurses who cared for COVID-19 patients at a general hospital located in D City from July 19, 2021, to August 10, 2021. The collected data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression analysis using SPSS 22.0. Post-traumatic growth showed a significant positive correlation with resilience (r=.499, p=<.001) and social support (r=.494, p=<.001). As a result of multiple regression analysis, prior knowledge about COVID-19 (𝛽=.142, p=.023), resilience (𝛽=.330, p =<.001), and social support (𝛽=.296, p =<.001) was a significant variable affecting post-traumatic growth. These results will be used as basic data to improve nurses' post-traumatic growth.

• Journal of Families and Better Life
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• v.1 no.2
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• pp.75-88
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• 1983

This study intends to examine the relations between the demographical and the socioeconomic variables on the post-purchase behavior of durable goods in rural household . Several concrete hypothesis in the above study were set as follows: 1) The evaluation on the post-purchase of rural household might be differently made in accordance with sex, age, resident district, education level, income level, family type and user's own purchasing, etc. 2)There can be differences in the attitude on the post-purchase of rural household in accordance with sex, age, resident district, education level, income level, family type and user's own purchasing, etc. 3) It must be of necessity to habe correlation between the evaluation and the attitude of the post- purchase. To examine these hypothesis, the study used the 27 questionnaires which are composed of 7 subject for general characteristics and 10 subjects respectively for the post-purchase evaluation and attitude of 285 rural households in Chon Nam Province. They were interviewed for 11days from Apr. 1st, 1983 to Apr. 11 the, 1983. Statistical methods such as frequency, percentage, Chi-Square test, arithmetical mean, t-test, F-test and Pearson's correlation coefficients, etc. are used for the data analysis. The summary and the conclusion resulted form such analysis are as follows; First, high significances are shown on the age the resident district the education level and the family type as significant variables affecting on the post-purchase evaluation of the rural house hold. Second, high significances are shown on the education level, the income level, the family type and the users own purchasing, etc. as significant variables affecting on the post-purchase attitude of rural household. Third, correlations between the post-purchase evaluation and the post-purchase attitude are very close. Therefore the hypothesis 1)and 2) of this study were accepted partially and the hypothesis 3) was confirmed wholely.