• Korean Journal of Adult Nursing
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• v.19 no.4
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• pp.535-546
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• 2007

Purpose: This study was conducted to evaluate life satisfaction(LS) and to assess the factors that influence LS in senior center elderly people. Methods: The subjects were 253 elders who visited the Y city Senior Welfare Center between July 2006 and August 2006. Data were collected using structured questionnaires. The instruments were composed of Kang's Family Support Scale, Depression Scale by Sheikh & Yesavage, Laffery's Health Concept Scale, and LS scale by Choi. T-test, ANOVA, Duncan test, Pearson coefficients correlation and stepwise multiple regression were used to analyze the data using the SPSS Win 12.0 program. Results: The LS level showed a maximum score of 38 with a mean score of 23.23. The mean scores for depression, health perception and family support were 5.52(maximum score, 15), 77.46(maximum score, 112), 43.45(maximum score, 55) respectively. The LS were significantly correlated with health perception, depression and family support. Depression was the most powerful predictor of and it accounted for 42.0% of the total variance in LS. A combination of significance of eudaimonistic health perception and satisfaction with pocket money accounted for 47.2% in LS. Conclusion: Depression and health perception were identified as affecting variables for the LS. Based upon these results, nurses should help the aged to enhance their LS.

• Research in Community and Public Health Nursing
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• v.16 no.2
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• pp.148-156
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• 2005

Purpose: This study was to identify the relations among health-promoting behaviors. self-esteem and depression in the vulnerable elderly in an urban community. Method: The subjects were 185 vulnerable elderly adults aged over 65 in D city, who were selected through convenience sampling. Data were collected by a questionnaire survey. The tools used in this study are the HPLP developed by Walker(1987), the Self-esteem Scale developed by Rosenberg (1965), and the Geriatric Depression Scale developed by Yesavage & Brink(1983). Collected data were analyzed with the SAS program using descriptive statistics. Pearson's correlation coefficient, t-test, ANOVA, Duncan's multiple-range test and stepwise multiple regression. Result: Self-esteem and depression was in a negative correlation with each other (r=-0.21), but no significant correlation was observed between HPB and depression. HPB and self-esteem were in a positive correlation with each other (r=0.38). The most powerful predictor of depression was self-esteem and, next, leisure activity and the type of family living together. The three factors accounted for 41.1% of the variance in depression in the vulnerable elderly. Conclusion: These results suggest that self-esteem, leisure activity, and the type of family living together can be potential risk factors for old age depression. These findings may give useful information for developing visiting nursing service programs focused on depression in the vulnerable elderly.

• Korean Journal of Human Ecology
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• v.18 no.3
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• pp.619-629
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• 2009

The purpose of this study is to investigate the impact of mother's and father's parenting behaviors and parenting involvement on prosocial behaviors of preschool children. The data were collected from 149 preschool children and their parents(149 mothers, 149 fathers). The collected data were analyzed by SPSS12.0 program for frequency, percentage, t-test, ANOVA, Duncan's test, multiple linear regression. The findings of this study are as follows :first, preschool children behaved prosocially more when their mothers or their fathers took warmth-acceptance of parenting behaviors. They showed lower prosocial behaviors when their fathers conducted more rejection-restriction or more permissiveness-nonintervention of parenting behaviors. Second, preschool children prosocially behaved more when their mothers and their fathers were more involved in parenting. Third, the most powerful predictor of prosocial behaviors was warmth-acceptance of parenting behaviors of their mothers.

• Communications for Statistical Applications and Methods
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• v.25 no.4
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• pp.373-383
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• 2018

The spatial scan statistic is a widely used method to detect spatial clusters. The method imposes a large number of scanning windows with pre-defined shapes and varying sizes on the entire study region. The likelihood ratio test statistic comparing inside versus outside each window is then calculated and the window with the maximum value of test statistic becomes the most likely cluster. The results of cluster detection respond sensitively to the shape and the maximum size of scanning windows. The shape of scanning window has been extensively studied; however, there has been relatively little attention on the maximum scanning window size (MSWS) or maximum reported cluster size (MRCS). The Gini coefficient has recently been proposed by Han et al. (International Journal of Health Geographics, 15, 27, 2016) as a powerful tool to determine the optimal value of MRCS for the Poisson-based spatial scan statistic. In this paper, we apply the Gini coefficient to normal-based spatial scan statistics. Through a simulation study, we evaluate the performance of the proposed method. We illustrate the method using a real data example of female colorectal cancer incidence rates in South Korea for the year 2009.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.20 no.1
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• pp.27-36
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• 2013

Purpose: Self-care behavior is a key dimension of healthcare quality among elderlys with diabetes mellitus. The purpose of this study was to identify factors associated with self-care behaviors related to insulin therapy among elders with diabetes mellitus. Methods: The research was a cross-sectional, descriptive design using questionnaires. The participants were 147 older adult patients with diabetes mellitus receiving insulin therapy. Data were analyzed using descriptive statistics, t-test, ANOVA and multiple regression with SPSS statistics 19.0 program. Results: Participants' self-care behaviors related to insulin therapy were not adequate. Stepwise multiple regression analysis for self-care behaviors related to insulin therapy revealed that the most powerful predictor was self-efficacy. Self-efficacy, family support and frequency of blood sugar test explained 54.4% of the variance in self-care behaviors related to insulin therapy. Conclusion: The results indicate a need to promote self-efficacy, family support and frequency of blood sugar testing with these participants. In addition, strategies to improve self-care behaviors among elderly patients should be considered by health professionals, family members and the elderly patients themselves.

• Steel and Composite Structures
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• v.48 no.5
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• pp.531-545
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• 2023

Composite dowels are implemented as a powerful alternative to headed studs for the efficient combination of Ultra High-Performance Concrete (UHPC) with high-strength steel in novel composite structures. They are required to provide sufficient shear resistance and ensure the transmission of tensile forces in the composite connection in order to prevent lifting of the concrete slab. In this paper, the load bearing capacity of puzzle-shaped and clothoidal-shaped dowels encased in UHPC specimen were investigated based on validated experimental test data. Considering the influence of the embedment depth and the spacing width of shear dowels, the characteristics of UHPC square plate on the load bearing capacity of composite structure, 240 numeric models have been constructed and analyzed. Three artificial intelligence approaches have been implemented to learn the discipline from collected experimental data and then make prediction, which includes Artificial Neural Network-Particle Swarm Optimization (ANN-PSO), Adaptive Neuro-Fuzzy Inference System (ANFIS) and an Extreme Learning Machine (ELM). Among the factors, the embedment depth of composite dowel is proved to be the most influential parameter on the load bearing capacity. Furthermore, the results of the prediction models reveal that ELM is capable to achieve more accurate prediction.

• International Journal of Fluid Machinery and Systems
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• v.2 no.4
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• pp.346-352
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• 2009

The objective of the present work is to improve numerical predictions of unsteady turbulent swirling flows in the draft tubes of hydraulic power plants. We present Large Eddy Simulation (LES) results on a simplified draft tube consisting of a straight conical diffuser. The basis of LES is to solve the large scales of motion, which contain most of the energy, while the small scales are modeled. LES strategy is here preferred to the average equations strategies (RANS models) because it resolves directly the most energetic part of the turbulent flow. LES is now recognized as a powerful tool to simulate real applications in several engineering fields which are more and more frequently found. However, the cost of large-eddy simulations of wall bounded flows is still expensive. Bypass methods are investigated to perform high-Reynolds-number LES at a reasonable cost. In this study, computations at a Reynolds number about 2 $10^5$ are presented. This study presents the result of a new near-wall model for turbulent boundary layer taking into account the streamwise pressure gradient (adverse or favorable). Validations are made based on simple channel flow, without any pressure gradient and on the data base ERCOFTAC. The experiments carried out by Clausen et al. [1] reproduce the essential features of the complex flow and are used to develop and test closure models for such flows.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.27 no.2
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• pp.327-333
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• 2003

Most of shape defects in steel strip are originated from the structure of rolling mill itself. For instance, strip crown occurs when the work roll is deformed by the bending moment induced on roll chocks. To get rids of the shape defects, it is necessary to increase the stiffness of rolling mill. The structure change of back-up roll is one of alternative ways to increase the mill stiffness without facility revamping from 4 high mill to 6 high mill. In this research work, the new back-up roll was developed and can be used in any type of 4 high mill to reduce the strip shape defects. The developed back-up roll consists of sleeve, arbor and phase angle adjusting system for arbor. The circumference of arbor is specially machined to adapt the strip width change during rolling. The experimental cold rolling test was done to prove the effectiveness of newly developed back-up roll. The experimental rolling results show that the new back-up roll has more powerful performance in reducing the shape defects than conventional back-up roll. It was also found that the new back-up roll has higher stability for shape control. In addition to, the only sleeve surface needs to be reground and changed in most cases, so that the maintenance cost can be greatly reduced.

• Journal of Korean society of Dental Hygiene
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• v.13 no.5
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• pp.863-871
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• 2013

Objectives : The purpose of this study is to investigate factors influencing on health promotion behaviors in public health course of college students. Methods : Subjects were 325 dental hygiene students and they completed self-reported questionnaires including health promotion behaviors, self efficacy, self esteem, and general characteristics from May 13 to 24, 2013. Students were recruited by sample convenience extraction. Data were analyzed using SPSS version 18.0 for descriptive statistics, t-test, one way ANOVA and multiple regression analysis. Results : Health promotion behaviors were closely related to concern for health care (p<0.001) and concern for health related goods (p<0.01). High self-efficacy and high self-esteem showed concern for health care (p<0.001). 2. Health promotion behaviors had significantly positive correlation with self efficacy, self esteem, and perceived health condition. 3. The most powerful predictor in health promotion behaviors was self efficacy. Self efficacy, self esteem, and major, concern for health-related goods, perceived health condition accounted for 40.8% of the total variance in health promotion behaviors. Conclusions : The result revealed that undergraduate students should take exercise and diet control for their health. Self-efficacy is the most important predictor of health promotion behaviors. Health promotion behavior programs should put emphasis on exercise and diet control and can be improved by behavioral change.

• Journal of Korean Society on Water Environment
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• v.21 no.6
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• pp.651-658
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• 2005

The Non-parametric Analysis is powerful in data test especially for the non- normality water quality data. The data at three monitoring stations of the Tam-Jin River were evaluated for their normality using Skewness, Q-Q plot and Shapiro-Willks tests. Various constituent of water quality data including temperature, pH, DO, SS, BOD, COD, TN and TP in the period of January 1994 to December 2004 were used as dataset. Shapiro-Willks normality test was carried out for a test 5% significance level. Most water quality data except DO at monitoring stations 1 and 2 showed that data does not normally distributed. It is indicating that non-parametric method must be used for a water quality data. Therefore, a homogeneity was conducted by Mann-Whitney U test (p<0.05). Two stations were paired in three pairs of such stations. Differences between stations 1, 2 and stations 1, 3 for pH, BOD, COD, TN and TP were meaningful, but Tam-Jin 2 and 3 stations did not meaningful. In addition, a narrow gap of the water quality ranges is not a difference. Categories in which all three pairs of stations (1 and 2, 2 and 3, 1 and 3) in the Tam-Jin River showed difference in water quality were analyzed on TN and TP. The results of in this research suggest a right analysis in the homogeneity test of water quality data and a reasonable management of pollutant sources.