• The Journal of Korean Medicine
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• v.30 no.6
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• pp.69-79
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• 2009

Objective: In this study, the immunomodulatory activity of a mixture of wild Panax ginseng and red-mold rice extracts (MPR) on RAW 264.7 macrophage cells in the presence and absence of methotrexate (MTX), an anti-cancer drug, was investigated. Methods and Results: In the cell viability, MPR showed a significant cell proliferation and inhibited cell regression by red-mold rice (RMR) alone or MTX alone. MPR induced moderate increase in nitric oxide (NO) production. NO production and inducible nitric oxide synthase (iNOS) mRNA expression by LPS decreased after MPR treatment. In addition, MPR slightly induced COX-2 mRNA expression, but it did not affect the expression of COX-2 mRNA by LPS treatment. In RT-PCR analyses, MPR induced IL-$1{\alpha}$, IL-$1{\beta}$, IL-6, and TNF-$\alpha$ mRNA expression, but had no effect on IL-10 and TGF-$\beta$, regardless of MTX treatment. Furthermore, MPR did not interfere with the cytotoxicity of MTX against MCF-7 human breast carcinoma cells. Conclusions: MPR is efficacious in protecting against MTX-induced cell regression as a result of macrophage activation, resulting in induction of cytokine expression, implying that MPR could be considered an adjuvant in MTX-chemotherapy.

• The Journal of Industrial Distribution & Business
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• v.8 no.4
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• pp.15-21
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• 2017

Purpose - In this work, we examined the causal relationship between credit loans from households (CLH), loan collateralized with housing (LCH) and an interest of certificate of deposit (ICD) among others in South Korea. Furthermore, the optimal forecasts on the underlying model will be obtained and have the potential for applications in the economic field. Research design, data, and methodology - A total of 31 realizations sampled from the 4th quarter in 2008 to the 4th quarter in 2016 was chosen for this research. To achieve the purpose of this study, a regression model with correlated errors was exploited. Furthermore, goodness-of-fit measures was used as tools of optimal model-construction. Results - We found that by applying the regression model with errors component ARMA(1,5) to CLH, the steep and lasting rise can be expected over the next year, with moderate increase of LCH and ICD. Conclusions - Based on 2017-2018 forecasts for CLH, the precipitous and lasting increase can be expected over the next two years, with gradual rise of two major explanatory variables. By affording the assumption that the feedback among variables can exist, we can, in the future, consider more generalized models such as vector autoregressive model and structural equation model, to name a few.

• The Journal of Pediatrics of Korean Medicine
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• v.24 no.3
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• pp.138-149
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• 2010

Objectives: The purpose of this study is to estimate genetic and environmental factors which can effect growth, and predict final height using this factors. Methods: Correlation analysis and regression analysis were conducted between measurements of height and Genetic & environmental factors through survey from 1352 child & adolescent patients. Results: Factors which have correlation with height percentile are MPH(Mid-Parental Height), NBW(Neonatal body weight), anorexia, dyspepsia, atopic dermatitis, frequency of breakfast and quality of sleeping time. MPH has moderate relation, NBW and anorexia have fair relation, and other factors have linear but poor relation. Regression equation from factors which have correlation and height percentile has 26.9% of predictive power. Regression equation considering only genetic factor has 20.4%. MPH has the most effect on height percentile. Anorexia has more effect than NBW. Other factors also have small and similar effect. Conclusions: Height of parents has the most effect on growth, anorexia, dyspepsia, atopic dermatitis, frequency of breakfast and quality of sleeping time also has effect.

• Journal of Families and Better Life
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• v.26 no.2
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• pp.33-41
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• 2008

The purpose of this study was to investigate the relationship between parent's conflict, paternal/ maternal grandmother's psychological support and school-aged children's well-being. The subjects were 227 6th grade school-aged children in elementary school who were 128(56.4%) boys and 99(43.6%) girls. Instruments used in this research were CDI(Children's Depression Inventory), CPIC(The children's perception of interparental conflict scale), and psychological support scale. The data were analyzed by simple regression, standard multiple regression and hierarchical multiple regression(using SPSS 12.1). Major findings were as follows: (1) There was no difference in maternal grandmother's psychological support and paternal grandmother's psychological support. (2) Maternal grandmother's psychological support was more important variable affecting school-aged children's well-being than paternal grandmother's psychological support. (3) Paternal/maternal grandmother's psychological support operated as a main effect with school-aged children's well-being increasing as paternal/maternal grandmother's psychological support increased. There were not interaction effects of parent's conflict and paternal/maternal grandmother's psychological support on school-aged children's well-being. That result showed that paternal/maternal grandmother's psychological support did not moderate negative effects of parent's conflict on school-aged children's well-being.

• Journal of The Korean Society of Agricultural Engineers
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• v.55 no.6
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• pp.47-55
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• 2013

The objective of this study is to evaluate the applicability of Communication, Ocean, and Meteorological Satellite (COMS) Geostationary Ocean Color Imager (GOCI) vegetation indices on a quantitative analysis. For evaluation, the vegetation indices such as RVI, NDVI and SAVI were extracted by using COMS GOCI and Terra Moderate Resolution Imaging Spectroradiometer (MODIS) imageries. The 4,000 points using simple random sampling (SRS) method were randomly extracted from land areas except ocean to compare the vegetation indices from two images. The results of linear regression showed that the regression coefficients of RVI, NDVI, and SAVI between COMS GOCI and Terra MODIS were 0.66~0.82, 0.71~0.83, and 0.71~0.83, respectively. Especially, the regression coefficients of RVI (r=0.85), NDVI (r=0.91) and SAVI (r=0.91) were strongly related from September 2011 to January 2012. Thus, COMS GOCI can be substituted for particular periods and it needs to verify additionally.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.767-780
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• 2021

The purpose of this research is to analyze the effect of financial elements (asset growth, liability growth, equity growth, revenue growth, and profit growth) on stock price performance and to analyze the growth of Corporate Social Responsibility (CSR) costs as a moderating effect. The technique analysis used is regression analysis. Samples in this analysis are manufacturing firms listed on the Indonesian Stock Exchange (IDX) for the period 2014-2018. The use of regression models for hypothesis testing must fulfill several applicable assumptions such as Normality Test, Heteroscedasticity Test, Multicollinearity Test, Autocorrelation Test, Model Fit Test, Determination Coefficient Test, and Hypothesis Test. Data analysis used two research models, namely model 1 and model 2. Model 1 is without the moderating variable, and model 2 is with the moderating variable, that is, CSR cost growth. Based on the result of the regression analysis, it can be inferred that the asset, revenue, and profit growth have a positive impact on stock price results. Liabilities and equity growth do not affect stock price performance. Operating expense growth has a significant effect on price performance. CSR cost growth can moderate the effect of growth in financial statement elements on stock price performance but is not significant.

• Journal of Preventive Medicine and Public Health
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• v.42 no.1
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• pp.49-58
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• 2009

Objectives : The purpose of the current study was to evaluate the usefulness of the following four comorbidity indices in gastric cancer patients who underwent surgery: Charlson Comorbidity Index(CCI), Cumulative Illness rating scale(CIRS), Index of Co-existent Disease(ICED), and Kaplan-Feinstein Scale(KFS). Methods : The study subjects were 614 adults who underwent surgery for gastric cancer at K hospital between 2005 and 2007. We examined the test-retest and inter-rater reliability of 4 comorbidity indices for 50 patients. Reliability was evaluated with Spearman rho coefficients for CCI and CIRS, while Kappa values were used for the ICED and KFS indices. Logistic regression was used to determine how these comorbidity indices affected unplanned readmission and death. Multiple regression was used for determining if the comorbidity indices affected length of stay and hospital costs. Results : The test-retest reliability of CCI and CIRS was substantial(Spearman rho=0.746 and 0.775, respectively), while for ICED and KFS was moderate(Kappa=0.476 and 0.504, respectively). The inter-rater reliability of the CCI, CIRS, and ICED was moderate(Spearman rho=0.580 and 0.668, and Kappa=0.433, respectively), but for KFS was fair(Kappa=0.383). According to the results from logistic regression, unplanned readmissions and deaths were not significantly different between the comorbidity index scores. But, according to the results from multiple linear regression, the CIRS group showed a significantly increased length of hospital stay(p<0.01). Additionally, CCI showed a significant association with increased hospital costs (p<0.01). Conclusions : This study suggests that the CCI index may be useful in the estimation of comorbidities associated with hospital costs, while the CIRS index may be useful where estimatation of comorbiditie associated with the length of hospital stay are concerned.

• Journal of Digital Convergence
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• v.8 no.3
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• pp.115-127
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• 2010

This study investigates the effect of E-learning service quality toward users' learning satisfactions when moderating by users' study motivations at cyber universities. For this end, the E-learning service quality was measured with SERVQUAL which was widely employed in academic research area. From rich survey analysis, this study finds that the three factors of E-learning service quality such as concreteness, certainty, credibility and sympathy are statistically correlated with users' learning satisfactions, but the responsiveness is not. Also in order to test the hypothesis that the study motivation is a moderate variable, the three step regression analysis was applied. Finally, this research finds that the study motivation has the role of moderate variable to affect the users' learning satisfactions.

• Physical Therapy Korea
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• v.18 no.3
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• pp.76-84
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• 2011

The purpose of this study was to investigate the correlations between pain intensity, physical impairments, disability, and psychological factors according to the difference in duration of low back pain. This study was a cross-sectional survey of 102 participants with low back pain, divided into two groups equal in number: The first group consisted of patients with acute and subacute low back pain, while the second group consisted of patients suffering from chronic low back pain. The results showed that gender, age, pain intensity, physical impairment, disability and Fear-Avoidance Beliefs (FABs) for work activities were not significantly different between two groups. FABs for physical activities of the first group were significantly more prevalent than in the second group. More than moderate correlations were found between pain intensity, physical impairment, and disability in the first group. Less than moderate correlations were found between pain intensity, physical impairment, disability, FABs, and depression in the second group. These findings suggest that we must consider psychological factors in the treatment of patients with chronic low back pain. Regression analyses revealed that pain intensity and FABs for work activities significantly contributed to the prediction of disability in the first group. Also, pain intensity and FABs for physical activities significantly contributed to the prediction of disability in the second group. Pain intensity was most important predictor of disability in two groups.

• Journal of Korean society of Dental Hygiene
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• v.19 no.6
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• pp.919-929
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• 2019

Objectives: The purpose of this study was to comprehensively examine the relationship between periodontal disease and high-sensitivity C reactive protein (hs-CRP) level. Methods: This study was conducted using the data from the sixth Korea National Health and Nutrition Examination Survey. SPSS 18.0 for Windows was used for statistical analysis. The data were collected from 4,576 subjects aged ≥19 years. To analyze the association between periodontal disease and hs-CRP level, chi-squared test and logistic regression analysis were used. Results: Consequent to correcting all the disturbance variables, the moderate risk of hs-CRP was 1.39 times higher in patients with periodontal disease than in those without (OR=1.39; 95% CI:1.14-1.69), whereas the high risk of hs-CRP was 1.10 times but there was no statistical significance (OR=1.10; 95% CI:0.79-1.53). Conclusions: Periodontal disease contributes to raising the risk of systemic inflammation and hs-CRP from low to moderate. Periodontal disease is associated with an early rise in hs-CRP.