• Research in Community and Public Health Nursing
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• v.12 no.3
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• pp.785-794
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• 2001

Purpose: This study was to find out the correlations amongst family function. social support. and the perceived mother's love in the adolescents. Method: The study subjects were 171 adolescents of whom 43 were middle school students and 128 were high school students. The data consisted of general characteristics. family function. social support and perceived mother's love. The data were analyzed by frequency. mean. percentage. t-test. ANOVA and the Pearson's correlation using the SPSS statistical program. Result: 1. The mean score of the family function in the adolescents was 3.09 (maximum score: 5) and the mean score of cohesion was 3.23 and the mean score of adaptability was 2.94. There were significant differences in the family function according to grade and family type. 2. The mean score of the social support in the adolescents was 2.86 (maximum score: 5) and there was significant difference in the social support according to the fathers occupation. 3. The mean score of the perceived mother's love in the adolescents was 3.57 (maximum score: 5) and there were significant differences in the perceived mother's love according to grade. existence of the mother, the mother's occupation and adolescent's health state. 4. There were positive correlations between the family function, social support and the perceived mother's love. Conclusion: The above results suggest that there is a need to develop social support program for the adolescents in the low economic status. Further, a comprehensive program should be developed to relieve the problems of the adolescents considering the family function. social support and perceived mother's love.

• Knowledge Management Research
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• v.20 no.3
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• pp.39-47
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• 2019

Response surface methodology (RSM) is a group of statistical modeling and optimization methods to improve the quality of design systematically in the quality engineering field. Its final goal is to identify the optimal setting of input variables optimizing a response. RSM is a kind of knowledge management tool since it studies a manufacturing or service process and extracts an important knowledge about it. In a real problem of RSM, it is a quite frequent situation that considers multiple responses simultaneously. To date, many approaches are proposed for solving (i.e., optimizing) a multi-response problem: process capability function approach, desirability function approach, loss function approach, and so on. The process capability function approach first estimates the mean and standard deviation models of each response. Then, it derives an individual process capability function for each response. The overall process capability function is obtained by aggregating the individual process capability function. The optimal setting is given by maximizing the overall process capability function. The existing process capability function methods usually use the arithmetic mean or geometric mean as an aggregation operator. However, these operators do not guarantee the Pareto optimality of their solution. Moreover, they may bring out an unacceptable result in terms of individual process capability function values. In this paper, we propose a maximin-based process capability function method which uses a maximin criterion as an aggregation operator. The proposed method is illustrated through a well-known multiresponse problem.

• Child Health Nursing Research
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• v.12 no.2
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• pp.180-188
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• 2006

Purpose: The purpose of this study was to explore family function, social support, perceived quality of life(QOL) in adolescent period and to find out the correlations between family function, social support, perceived QOL in adolescents. Method: The questionnaire to get some information for this study consisted of adolescents'general characteristics, 20 questions regarding family function, 11 questions regarding social support, 8 questions regarding perceived QOL in adolescents. The subjects of this study consisted of 128 adolescents who were living in S area. The data were analyzed by percentage, mean, t-test, ANOVA and Pearson's correlation using the WINSPSS program. Result: The mean score for family function was 3.07(max. : 5) and there was significant difference according to middle-high school student. The mean score for social support was 2.86(max : 5) and there was no significant difference. The mean score for perceived QOL was 4.02(max score: 7) and there was significant difference according to disease condition. There was a positive correlation between family function, social support, perceived QOL in adolescents. Conclusion: Consequently, the development of program, policy assistance and policy implementation to elevate juveniles' perceived quality of life is strongly required.

• Journal of Korean Institute of Industrial Engineers
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• v.29 no.3
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• pp.239-246
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• 2003

Individual items are produced continuously from an industrial process. Each item is checked to determine whether it satisfies a lower screening limit for the quality characteristic which is the weight of an expensive ingredient. If it does, it is sold at a regular price; if it does not, it is reprocessed or sold at a reduced price. The process mean may be adjusted to a higher value in order to reduce the proportion of the nonconforming items. Using a higher process mean, however, may result in a higher production cost. In this paper, the optimal process mean and lower screening limit are determined in situations where the probability that an item functions well is given by a logistic function of the quality characteristic. Profit models are constructed which involve four price/cost components; selling prices, cost from an accepted nonconforming item, and reprocessing and inspection costs. Methods of finding the optimal process mean and lower screening limit are presented and numerical examples are given.

• Communications of the Korean Mathematical Society
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• v.24 no.2
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• pp.187-195
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• 2009

We investigate the boundary values of the holomorphic mean Lipschitz function. In fact, we prove that the admissible limit exists at every boundary point of the unit ball for the holomorphic mean Lipschitz functions under some assumptions on the Lipschitz order. Moreover, we get embedding theorems of holomorphic mean Lipschitz spaces into Hardy spaces or into the Bloch space on the unit ball in $\mathbb{C}_n$.

• Clinics in Shoulder and Elbow
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• v.23 no.3
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• pp.131-135
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• 2020

Background: Resection of the radial head is a surgical indication for comminuted radial head fracture in which internal fixation is inaccessible. Some complications from the surgery can alter the function of the patient's elbow. The objective of this study was to assess functional outcome of the elbow after resection of the radial head. Methods: A retrospective longitudinal study was performed with patients who underwent radial head resection between 2008 and 2018. Elbow function was assessed by the Mayo Elbow Performance Index (MEPI) for 11 patients comprising three women and eight men. The mean follow-up was 47.6 months. The mean age was 41±10.3 years. Results: Nine patients had a stable and painless elbow. The mean extension-flexion arc was 97.73°±16.03°. The mean values of pronation and supination were 76.8° and 74.5°, respectively. The mean MEPI score was 83.2 points, and restoration of overall function was achieved in 81% of the cases. Poor function was noted in one in 10 that presented with a terrible triad. Conclusions: Resection of the radial head restored elbow functionality at a rate of 81%, which was a good outcome for patients.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.9 no.4
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• pp.163-169
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• 1984

We propose a new parameter estimation algorithm that converges with probability one and in mean square, if the mean is the function of parameter of the probability density function. This recursive algorithm is applicable also even though the parameters we estimate are multiparameter case. And the results are shown by the computer simulation.

• Journal of the Korean Data and Information Science Society
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• v.8 no.1
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• pp.99-109
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• 1997

The estimation procedure of mean residual life function has been placed an important role in the study of survival analysis. In this paper, the product limit estimator on left truncated and right censoring model is proposed with asymptotic properties. Also, the small sample properties are investigated through the Monte Carlo study and the proposed product limit type estimator is compared with ordinary Kaplan-Meier type estimator.

• Communications for Statistical Applications and Methods
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• v.6 no.3
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• pp.919-928
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• 1999

We shall propose the MME MLE and UMVUE for the mean parameter and the right-tail probability in a power function distribution and obtain the mean squared errors for the proposed estimators. And we shall compare numerically efficiencies of the MME MLE and UMVUE of the mean parameter and the right-tail probability in a power function distribution.

• Journal of Integrative Natural Science
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• v.7 no.1
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• pp.67-73
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• 2014

We consider the mean value function for NHPP software reliability model and time series regression model in software failure data. We estimate parameters for the proposed models from two data sets. The values of SSE and MSE is presented from two data sets. We compare the predicted number of faults with the actual two data sets using the mean value function and regression curve.