• Journal of Integrative Natural Science
• /
• v.7 no.1
• /
• pp.45-49
• /
• 2014

The (c-Jun N-terminal kinase 3) JNK3 is a potential therapeutic target for various neurological disorders. Here, a three dimensional quantitative structure-activity relationship (3D-QSAR) study on phenoxypyridine as JNK3 inhibitors was performed to rationalize the structural requirements responsible for the inhibitory activity of these compounds. The comparative molecular field analysis (CoMFA) using different partial atomic charges, was employed to understand the structural factors affecting JNK3 inhibitory potency. The Gasteiger-Marsili yielded a CoMFA model with cross-validated correlation coefficient ($q^2$) of 0.54 and non-cross-validated correlation coefficient ($r^2$) of 0.93 with five components. Furthermore, contour maps suggested that bulky substitution with oxygen atom in $R^3$ position could enhance the activity considerably. The work suggests that further chemical modifications of the compounds could lead to enhanced activity and could assist in the design of novel JNK3 inhibitors.

• Journal of Korean Medicine Rehabilitation
• /
• v.24 no.1
• /
• pp.77-82
• /
• 2014

Objectives Adhesive capsulitis (AC) is a restricted shoulder range of motion. Rotator cuff disease (RCD) has been believed to be a major etiologic factor of AC, however, how soon is the development time from RCD to AC (DTRA) has not been elucidated. The purpose of our study was to evaluate the correlation between the ultrasonographic characteristics of RCD and the DTRA. Methods Total 40 patients who were diagnosed as AC were recruited. The clinical characteristics of RCD were diagnosed by ultrasonography and classified with the Southern California Orthopedic Institute for Rotator Cuff Classification. The correlation was analyzed with Mann-Whitney U test and one-way analysis of variance. Results 60% of full thickness tear and 40% of partial thickness tear patients (10 male and 30 female, mean age of $54.0{\pm}8.4$ years) and 38% of bursitis and 21% of neovascularization were observed. The mean value of DTRA was $74.8{\pm}131.3$ days. There were no correlation between DTRA and gender (p=0.63), location of the partial tear (p=0.63), the severity of the partial thickness tear (p=0.63), full thickness tear (p=0.66) and completeness of the tear (p=0.16). The presence of bursitis or neovascularization was not associated with DTRA (p=0.60, p=0.61). Conclusions Although RCD is a major etiologic factor of AC, the severity, the type of RCD and the presence of bursitis and neovascularization were not statistically correlated with the DTRA in our study. Comprehensive consideration about etiologic factor analysis of AC will be needed with prospective study design for future study.

• Dementia and Neurocognitive Disorders
• /
• v.22 no.4
• /
• pp.139-147
• /
• 2023

Background and Purpose: Dual walking task such as crossing over an obstacle may serve as an excellent tool for predicting early cognitive decline. Thus, this study aimed to investigate correlation between walking while crossing over an obstacle and executive functions under different gait phases to validate the use of walking with an obstacle for predicting early cognitive decline. Methods: A cross-sectional study was conducted on 48 elderly individuals from 2 day-care centers and 3 welfare-centers in Seoul and Gyeonggi, Korea. Executive function tests (Trail Making Test, Stroop test) and dual walking tests (gait speed, cadence, stance time, gait cycle time) were performed and compared using partial correlation analysis. Results: There were significant correlations between executive function and most of the gait variables (stance time, cadence, and gait cycle time) (p<0.05) when crossing over an obstacle while walking. Especially, stance time exhibited significant correlations with most executive functions (p<0.05). Conclusions: When evaluating executive function during walking with an obstacle, post-obstacle-crossing phase and stance time need to be observed.

• The Journal of the Korea Contents Association
• /
• v.11 no.6
• /
• pp.428-437
• /
• 2011

This study examines how caregivers' academic motivation to participate in training affects their learning flow with their training. This study surveyed 230 trainees at a caregiver training agency in City B. A survey was conducted, and questionnaire was conceived to obtain the measure of two latent variables: learning flow, motivation to learning. Descriptive statistics, factor analysis, correlation analysis and regression analysis were used. Intrinsic motivation and extrinsic motivation had positive effects on learning flow. However Intrinsic motivation had high level of correlation than extrinsic motivation on learning flow. Therefore, learning flow had not alone intrinsic motivation but also partial correlation with extrinsic motivation. The multidirectional study is require the caregivers' training for development, caregivers' training and Management.

• Korean Journal of Child Studies
• /
• v.26 no.4
• /
• pp.55-70
• /
• 2005

The Teachers' Job Stress Scale(D'Arienzo, 1981) and the General Self-Efficacy Scale(Kim & Cho, 1996) were used to study 170 child care teachers. Data were analyzed by one-way ANOVA, Pearson's partial correlation, stepwise multiple regression(forward), path analysis, Internal consistency(Cronbach's $\alpha$), and factor analysis. Results showed that job stress was low for teachers of the national child care center, university graduates, higher salaried, and married teachers. Self-efficacy was high among teachers with more than 2 years experience, married status, and previous experience. Correlation between teacher's job stress and self-efficacy was -.19. Self-efficacy and demographic variables for job stress explained 8~22% of the variability. Self-efficacy intermediated between job stress and demographic variables. Monthly salary directly affected job stress.

• The Korean Journal of Emergency Medical Services
• /
• v.27 no.2
• /
• pp.65-78
• /
• 2023

Purpose: This study aimed to examine the mediating effect of self-efficacy between loneliness and life satisfaction among university students during the COVID-19 pandemic. Methods: This study administered a questionnaire survey of 282 college students enrolled in universities located in K area. Structural equation modeling analysis was utilized to examine the relationships of variables. The questionnaire included the life satisfaction, loneliness, and self-efficacy scales. Results: The results showed that loneliness had a negative correlation with life satisfaction and self-efficacy. Self-efficacy had a positive correlation with life satisfaction. The study confirmed that loneliness had a partial mediating effect on life satisfaction through self-efficacy. Conclusion: The study discussed ways of enhancing the life satisfaction of university students, the implications of the study findings, and suggestions for future research.

• Transactions of the Korean Society for Noise and Vibration Engineering
• /
• v.17 no.11
• /
• pp.1056-1063
• /
• 2007

Recently, there has been a growing consumer interest in the amount of noise produced by household electrical appliances. The designer of the product must identify the source of the noise, in order to reduce the noise. In the case of a household electric appliance such as the washing machine, there is consumer's complaint about the noise that is generated during the dehydrating condition. Because of several noise sources combined each other. It is difficult to identify the noise sources that contribute to the noise output. Multi-Dimensional Spectral Analysis (MDSA) is a method that can remove the correlation between different noise sources, and it expresses the key contributing factor as a unique output. This study utilized MDSA to analyze the contribution of each input in the noise output during the dehydrating condition.

• Food Science and Biotechnology
• /
• v.18 no.1
• /
• pp.60-65
• /
• 2009

Near infrared reflectance spectroscopy (NIRS) was used as a rapid and non-destructive method to determine the protein content in intact and ground seeds of pea (Pisum sativum L.) germplasms grown in Korea. A total of 115 samples were scanned in the reflectance mode of a scanning monochromator at intact seed and flour condition, and the reference values for the protein content was measured by auto-Kjeldahl system. In the developed ground and intact NIRS equations for analysis of protein, the most accurate equation were obtained at 2, 8, 6, 1 math treatment conditions with standard normal variate and detrend scatter correction method and entire spectrum (400-2,500 nm) by using modified partial least squares regression (n=78). External validation (n=34) of these NIRS equations showed significant correlation between reference values and NIRS estimated values based on the standard error of prediction (SEP), $R^2$, and the ratio of standard deviation of reference data to SEP. Therefore, these ground and intact NIRS equations can be applicable and reliable for determination of protein content in pea seeds, and non-destructive NIRS method could be used as a mass analysis technique for selection of high protein pea in breeding program and for quality control in food industry.

• Journal of agriculture & life science
• /
• v.50 no.2
• /
• pp.117-124
• /
• 2016

This study was estimated the effect of environmental factors and each of them on auction price of Hanwoo calves. The auction prices of Hanwoo calves(19,592head) registered pedigree were sampled in Gyeongsangnam-do from 2014 to 2015. The environmental factors were highly(p<0.01) affect to the auction price of Hanwoo calves. With the analysis of contribute factor used the semi-partial correlation, the value of regression equation(Adj R-Square) was 0.701. The semi-partial correlation values of sex, auction body weight, auction age, auction year, auction season, and auction area were 0.11563, 0.20013, 0.02823, 0.10727, 0.00330 and 0.02963, respectively. And the highest contribution factor was body weight, and then, followed sex, auction year, auction area and auction age. In conclusion, it could be suggested that Hanwoo calf farmer should improve calf body weight to increase auction price by not only breeding, but also optimal management. Additionally, it is expecting in the future that competitiveness and income of farmers will be affected deeply by the holding and producing of predominant genes which is coincidence with breeding principles. However, further study should be conducted for the better understand caused by the limit of previous studies which was estimated the correlations of auction price and each factors.

• Journal of the Korean Society of Tobacco Science
• /
• v.27 no.1 s.53
• /
• pp.141-152
• /
• 2005

This study focused on the relationships among leaf and smoke components and sensory properties following tobacco leaf blending. A completely randomized experimental design was used to evaluate components of leaf and smoke and sensory properties for sample cigarettes with four mixtures of flue cured and burley tobacco (40:60, 60:40, 80:20 and 100:0). Eleven leaf components, six smoke components, and eight sensory properties of smoking taste were analyzed. A sensory evaluation method known as quantitative descriptive analysis was used to evaluate perceptual strength on a fifteen score scale. Raw data from ten trained panelists were obtained and statistically analyzed. Based on the MANOVA, clustering analysis, correlation matrix and partial least square (PLS) method were applied to find out which smoke component most affected sensory properties. The PLS method was used to remove the influence between explanatory variables in the leaf, smoke components derived from the results. High correlations (p<0.0l) were found among ten specific leaf and smoke components and sensory attributes. Total nitrogen, ammonia, total volatile base, and nitrate in the leaf were significantly correlated (p<0.05) with impact, bitterness, tobacco taste, irritation, smoke volume, and smoke pungency. From the results of PLS analysis, influence variables are used to explain about the correlation. In terms of bitterness, with only two explanatory variables, Leaf $NO_3$ and Leaf crude fiber were enough for guessing their correlation. In the distance weighted least square fitting analysis, carbon monoxide highly influenced bitterness, hay like taste, and smoke volume.