• Korean Journal of Adult Nursing
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• v.22 no.3
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• pp.291-302
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• 2010

Purpose: This study was a secondary data analysis aimed at identifying the predictors of health-related quality of life (HRQoL) of the home-dwelling disabled person by using EQ-5D which is a standardized instrument used as a measure of health outcome. Methods: Data were drawn from the 3rd Korea National Health and Nutritional Examination Survey conducted by the Ministry of Health and Welfare (MOHW). Subjects were 1,021 home-dwelling disabled persons over 19 years of age. Data were analyzed by using descriptive statistics, t-test, Pearson's correlation, one-way ANOVA, Scheff$\acute{e}$ test, and Stepwise multiple regression. Results: HRQoL (Health Related Quality of Life) is differentiated within age, genders, educational level, employment status, economic status, types and grades of disability, health problems associated with limited mobility, and the limited duration of time. HRQoL is correlated with age, number of cohabiters, educational level, grades of disability, activities of daily living (ADL), and instrumental ADL (IADL). HRQoL is significantly associated with ADL, health problems in connection with limited mobility, employment status, types of disability, marital status, grades of disability, and the limited duration of time. These factors explained 63.7% of variance in HRQoL. Conclusion: HRQoL among the disabled is related to their characteristics, ADL, and IADL. For this reason, it is necessary to develop health programs to promote those variables required to improve HRQoL.

• Journal of Korean Public Health Nursing
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• v.29 no.3
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• pp.582-593
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• 2015

Purpose: This study was conducted to examine the effectiveness of a self-management program on patients with thyroid cancer, particularly during the time of waiting for surgery after cancer diagnosis. Psychological distress, biological responses of immune cell counts, and quality of life were the variables of this study. Methods: One group pre-post test design was used with the nature of a pilot study. Ten newly diagnosed thyroid cancer patients were recruited through physicians' referrals. After drop out of 4 participants, final data were collected from six participants. Small group technique, a one and half hour-session per week for one month (total 4 sessions, 6 hours) was used. Relaxation techniques, meditation training, and strategies to reduce distress were provided by researchers. Standardized questionnaires and an established bio-assay were used for collection of data. Results: Participants showed significant lowering of psychological distress (p<.05) and improvement in global quality of life (p<.05). Biological responses of immune cell counts did not show statistical significance. Conclusion: The self-management program may reduce psychological distress and improve quality of life of patients with thyroid cancer between the time of diagnosis and surgery. The self-management program would be a valuable approach for patients with an unexpected cancer diagnosis to prepare for their disease experience in a community setting.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.2
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• pp.48-55
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• 2020

Recently, a study of prognosis and health management (PHM) was conducted to diagnose failure and predict the life of air craft engine parts using sensor data. PHM is a framework that provides individualized solutions for managing system health. This study predicted the remaining useful life (RUL) of aeroengine using degradation data collected by sensors provided by the IEEE 2008 PHM Conference Challenge. There are 218 engine sensor data that has initial wear and production deviations. It was difficult to determine the characteristics of the engine parts since the system and domain-specific information was not provided. Each engine has a different cycle, making it difficult to use time series models. Therefore, this analysis was performed using machine learning algorithms rather than statistical time series models. The machine learning algorithms used were a random forest, gradient boost tree analysis and XG boost. A sliding window was applied to develop RUL predictions. We compared model performance before and after applying the sliding window, and proposed a data preprocessing method to develop RUL predictions. The model was evaluated by R-square scores and root mean squares error (RMSE). It was shown that the XG boost model of the random split method using the sliding window preprocessing approach has the best predictive performance.

• The Korean Journal of Community Living Science
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• v.21 no.3
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• pp.411-425
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• 2010

The purpose of this study is to examine the middle aged social preparation for later life and to explore the effect of social activities and social relationships on social preparation for later life. This research is also focused on gender differences in social activities, social relationships and social preparation for later life. The survey data was gathered from 424 middle aged citizens who live in the Gwangju & Jeonnam area, using a structured questionnaire. The statistical methods used for data analysis were descriptive statistics, cross tables, t-test, correlations, and hierarchical regression with SPSS win 18.0 program. The major findings of this study are as follows: Most of the respondents perceive an importance of social activities and social relationships. Middle aged women enjoy leisure activities such as learning and religious activity more than men. Middle aged men engage in hobby activities more than women. And most of respondents perceive they are making an effort to keep a relationship with spouses, family & friends. The results show that there are no differences in social preparation for later life between gender groups, but the variables which have an effect in social preparation for later life are different between gender groups. Social activities and Social relationships play an important role in social preparation for later life of Middle aged men and women. At the same time, Social activities and Social relationships have more positive effect on the social preparation of women. Implications of the results are discussed.

• Journal of The Korean Society of Agricultural Engineers
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• v.63 no.1
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• pp.11-25
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• 2021

The objective of this study was to analyze the impact of activation functions on flood forecasting model based on Artificial neural networks (ANNs). The traditional activation functions, the sigmoid and tanh functions, were compared with the functions which have been recently recommended for deep neural networks; the ReLU, leaky ReLU, and ELU functions. The flood forecasting model based on ANNs was designed to predict real-time runoff for 1 to 6-h lead time using the rainfall and runoff data of the past nine hours. The statistical measures such as R2, Nash-Sutcliffe Efficiency (NSE), Root Mean Squared Error (RMSE), the error of peak time (ETp), and the error of peak discharge (EQp) were used to evaluate the model accuracy. The tanh and ELU functions were most accurate with R2=0.97 and RMSE=30.1 (㎥/s) for 1-h lead time and R2=0.56 and RMSE=124.6~124.8 (㎥/s) for 6-h lead time. We also evaluated the learning speed by using the number of epochs that minimizes errors. The sigmoid function had the slowest learning speed due to the 'vanishing gradient problem' and the limited direction of weight update. The learning speed of the ELU function was 1.2 times faster than the tanh function. As a result, the ELU function most effectively improved the accuracy and speed of the ANNs model, so it was determined to be the best activation function for ANNs-based flood forecasting.

• Journal of Families and Better Life
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• v.5 no.2
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• pp.11-27
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• 1987

This study examined job satisfaction levels between employed single women and employed married women. The specific objectives of this study were; (1) to investigate differences in the level of job satisfaction between employed single women and employed married women; (2)to investigate the factors which influence the level of job satisfaction; (3)to investigate the relationship between job satisfaction and life satisfaction. the data used in this study included 441 working women from 290 (65.8 %) single women and 151 (34.2%) married women. Statistical analyses were conducted using frequencies, percentiles, mean , t-test , ANOVA, pearson's correlation and a stepwise multiple regression. The major findings were ; (1) at the P<.005 level, there was a significant difference in the job Satisfaction Index (JSI) between employed single and married women by using the t-test ; (2) Occupation, type of organization , job experiences, travel time from home to work. unionization, age, and health status were significantly related to the JSI by using the one-way ANOVA; (3) Thee was an interaction effect between income and marital status on the JSI, and between education and marital status on the JSI; (4) Using a stepwise multiple regression method, the order of variables as they were entered in the model were different between employed single and married women; (5) There was a positive relationship between the JSI and Life Satisfaction Index(r=.41)

• Journal of Microbiology and Biotechnology
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• v.15 no.6
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• pp.1377-1383
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• 2005

In a cDNA microarray experiment using Cy3 and Cy5 as labeling agents, particularly for the direct design, cDNAs from some genes incorporate one dye more efficiently than the other, which is referred to as the gene-specific dye bias. Dye-swaps, in which two dyes are switched on replicate arrays, are commonly used to control the gene-specific dye bias. We developed a simple procedure to extract the gene-specific dye bias information from a partial dye swap experiment. We detected gene-specific dye bias by identifying outliers in an X-Y plane, where the X axis represents the average log-ratio from two sets of dye swap pairs and the Y axis exhibits the average log ratio of four forward labeled arrays. We used this information for detecting differentially expressed genes, of which the additionally detected genes were validated by real-time RT-PCR.

• Journal of the Korean Society of Safety
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• v.32 no.5
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• pp.115-121
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• 2017

This paper is to introduce the main modeling assumptions and data structures associated with right-censored data to describe the successful methodological ideas for analyzing such a field-failure-data when components operating in different environments. The Kaplan - Meier method is the most popular method used for survival analysis. Together with the log-rank test, it may provide us with an opportunity to estimate survival probabilities and to compare survival between groups. An important advantage of the Kaplan - Meier curve is that the method can take into account some types of censored data, particularly right-censoring. The above non-parametric method was used to verify the equality of parts life used in different environments. After that, we performed the life distribution analysis using the parametric method. We simulated data from three distributions: exponential, normal, and Weibull. This allowed us to compare the results of the estimates to the known true values and to quantify the reliability indices. Here we used the Akaike information criterion to find a suitable life time distribution. If the Akaike information criterion is the smallest, the best model of failure data is presented. In this paper, no-nparametrics and parametrics methods are analyzed using R program which is a popular statistical program.

• Advances in pediatric surgery
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• v.14 no.2
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• pp.125-133
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• 2008

To evaluate the long-term prognosis of biliary atresia after Kasai operation, a total of 14 patients (of the 41 patients operated upon from 1982 to 1997), who had been followed up for more than 10 years, were included in this retrospective study. Eleven out of 14 patients survived with their native livers, and their data analyzed for age at operation, clearing time of jaundice, histological outcome, postoperative complications, effectiveness after the application of an intussusception anti-reflex valve, and quality of life. Average age at surgery was 62.8 days. Serum bilirubin was normalized within three months in all patients. Six among the eleven long-term survivors had ascending cholangitis as one of the postoperative complications. The application of an intussusception anti-reflux valve did not show any statistical significance in long-term survival. Most of long-term survivors appeared to enjoy good quality of life. Kasai operation might not be the definitive treatment for biliary atresia; however, Kasai operation made it possible to achieve long-term survival for patients with biliary atresia when the patients were detected and treated as early as possible.

• Journal of Families and Better Life
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• v.15 no.4
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• pp.201-220
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• 1997

The purpose of this study is to investigate communication style & communication in the family and marital satisfaction. This study focuses on the following aspects: 1) to find out which variables of background variables(oe, sociodemographic variables & communication styles) have effect on communica-tion and marital satisfaction in the family. 2) to find out the relationships between communication in the family and marital satisfaction. 3) to find out the independent influence of background variables on marital satisfaction. In order to clarify the above problems the data were obtained from questionaires with 72 items. The selected sample is composed of 365 housewives in chong Joo city. SAS pc program was used for th statistical analysis of the data. Data was analyzed by frequency percentage mean F-test Duncan's multiple range test regression analysis path analysis pearson's correlation coefficient. Major findings are as follows: first age of couples education of couples durati n of marriage family life cycle number of children income were variables to have influence on communication in the family, And communication styles were variables to have influence on communication in the family. Second age of couple education of couple duration of marriage family life cycle number of children were variables to have influence on marital satisfaction. And communication styles were variables to have influence on marital satisfaction. Third there were positive relation between communication in the family and marital satisfaction. The higher communication about clothing food housing skill health affection money, time and infstitutional facilities the higher marital satisfaction. Fourth influential variables related to marital satisfaction were communication about clothing affection & money and communication styles(ie, random style, morphogenic style, mophostatic style)