• Journal of Korean Academy of Psychiatric and Mental Health Nursing
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• v.28 no.2
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• pp.114-123
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• 2019

Purpose: The aim of the study was to investigate associations of spiritual well-being, attitude toward death, and quality of life among Alcoholics Anonymous (AA). Methods: This study was cross-sectional and descriptive in design. The data was collected from August to September 2018 with 133 AA members drawn from two provinces of South Korea. The data were analyzed using descriptive statistics, independent t-tests, one-way ANOVA with Turkey tests, Pearson's correlation coefficients, and hierarchical multiple linear regression analyses using SPSS/WIN 20.0 program. Results: The existential spiritual well-being (β=.52, p<.001), attitude toward death (β=.24, p<.001), dual diagnosis (β=-.17, p=.003), occupation (β=.12, p=.035) of the participants were significant factors, which explained 63.7% of the variance of quality of life. Conclusion: The study findings highlight the need to develop psychological nursing strategies to enhance the spiritual well-being and improve a positive attitude toward death based on the job and dual diagnosis among AA members to improve their better quality of life.

• Smart Structures and Systems
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• v.17 no.6
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• pp.1031-1053
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• 2016

The health conditions of in-service civil infrastructures can be evaluated by employing structural health monitoring technology. A reliable health evaluation result depends heavily on the quality of the data collected from the structural monitoring sensor network. Hence, the problem of sensor fault diagnosis has gained considerable attention in recent years. In this paper, an innovative sensor fault diagnosis method that focuses on fault detection and isolation stages has been proposed. The dynamic or auto-regressive characteristic is firstly utilized to build a multivariable statistical model that measures the correlations of the currently collected structural responses and the future possible ones in combination with the canonical correlation analysis. Two different fault detection statistics are then defined based on the above multivariable statistical model for deciding whether a fault or failure occurred in the sensor network. After that, two corresponding fault isolation indices are deduced through the contribution analysis methodology to identify the faulty sensor. Case studies, using a benchmark structure developed for bridge health monitoring, are considered in the research and demonstrate the superiority of the new proposed sensor fault diagnosis method over the traditional principal component analysis-based and the dynamic principal component analysis-based methods.

• The Korean Journal of Rehabilitation Nursing
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• v.7 no.2
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• pp.127-139
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• 2004

Purpose: This study was to investigate the degree of body image, self esteem and quality of life, to identify general and disease of characteristics on influencing this factors with the intention of providing basal data for developing nursing intervention to promote body image, self esteem and quality of life. Method: Subjects of this study were 91 grown-up congenital heart patients over 18 years in 2 tertiary hospitals. The data on body image, self esteem and quality of life were collected through questionnaire from March to April 2004. The data were analyzed by descriptive statistics, t-test, Pearson's correlation, ANOVA and tukey test using SAS for Windows 8.1 program. Result: 1) The mean scores of body image, self esteem and quality of life were 63.01, 25.29 and 496.79. 2) Body image was correlated with age(p=.0239), educational level(p=.0182), diagnosis(p=.0066), number of operation(p=.0148), cyanosis(p<.0001), complication(p=.0096) and NYHA level(p=.0378). 3) Self esteem was correlated with education level(p=.0026), economic level(p=.0240), number of operation(p=.0113) and cyanosis (p=.0006). 4) Quality of life was correlated with age(p=.0432) and diagnosis(p=.0020), number of operation (p=.0063), duration of last operation(p=.0225), cyanosis(p<.0001), complication(p=.0090) and NYHA level(p<.0001). 5) There was significantly positive relationship between body image, self esteem and quality of life. Subjects with more positive body image had higher self esteem(r=.7897, p<.05) and subjects with higher self esteem had higher quality of life(r=.6091, p<.05).

• Research in Community and Public Health Nursing
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• v.30 no.2
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• pp.109-118
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• 2019

Purpose: The purpose of this study is to identify factors affecting the quality of life among community-dwelling older women with urinary incontinence (UI). Methods: A cross-sectional study was conducted with 475 women aged 60 or over who were recruited from 10 primary health care facilities in rural Korea. Data were collected using a structured questionnaire consisting of socio-demographic, health-related, and UI-related characteristics. The quality of life was assessed using Incontinence Quality of Life (I-QOL). SPSS/WIN 23.0 program was used to analyze descriptive statistics, $x^2$ test, t-test, ANOVA, Pearson's Correlation, and hierarchical regression. Results: Of 475 subjects, 180 (37.9%) had urinary incontinence. The mean scores of I-QOL of women with and without UI were 76.87 and 94.77, respectively. The results of hierarchical regression analysis show that the Questionnaire for Urinary Incontinence Diagnosis total score was the greatest influencing factor, followed by age and the International Consultation on Incontinence Questionnaire-Short Form total score. Conclusion: The study revealed that factors related to UI symptoms are more likely to have impact on the quality of life in women with UI. It suggests that early detection or management of UI is important in improving the quality of life of women with UI.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.79-80
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• 2023

정부는 공공데이터의 품질 관리를 위하여 공공데이터 품질관리 수준평가를 진행하여 공공데이터 품질을 관리하고 있다. 파일 형식의 공공데이터를 진단 시 품질진단 담당자가 대량의 파일데이터를 필드명과 필드 내 데이터에 의존하여 수작업으로 도메인을 판단하여 진단한다. 때문에 품질진단의 정확성을 신뢰하기 어렵고 진단에 많은 시간이 소요된다. 본 논문은 파일형식의 공공데이터 품질진단의 정확성을 확보하고 진단 소요시간을 단축하기 위해 데이터 분포 통계를 이용한 CSV 형식의 공공데이터 도메인 판별 모델을 제안하였다. 제안된 모델을 적용하면 공공데이터 품질의 정확성을 향상하고 진단 소비 시간을 단축시킬 것으로 기대된다.

• Korean Journal of Biological Psychiatry
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• v.16 no.4
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• pp.229-237
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• 2009

Recent Korean statistics show that a Korean woman can now expect to live until her mid-80s, which implies living at least one-third of her life after menopause. The menopausal transition is typically marked by intense hormonal fluctuations, accompanied by sleep disturbance, vasomotor symptoms(e.g., hot flashes, night sweats), increased risk for osteoporosis, cardiovascular disease, and developing depression as well as mood disturbances. These symptoms can affect a woman's quality of life negatively. Therefore, a comprehensive understanding of the accurate detection and appropriate treatment of various menopause-related symptoms including depression in the menopausal transitions and postmenopause is mandatory. This review primarily focused on the current knowledge about the treatment of menopause-related depression.

• Journal of the Korean Data and Information Science Society
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• v.26 no.4
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• pp.895-906
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• 2015

Nowadays, many people have much interest in health and quality of life. They can get information on foods known to have remedial value for certain illness from many healthcare experts on TV health related shows. Moreover, a lot of studies on these foods and their remedial value are consistently published. Thus, this study, on the ground that if we know prognosis of a certain disease in advance we can lead a better life without suffering from diseases, statistically analyzes specific students' responses to sub-health questionnaire. The analysis reveals that results of testing the equality of gender and 10 diagnosis indexes shows significant difference within 5% of significance level in 9 diagnosis indexes except for respiratory system. And the result of testing the equality of age and 10 diagnosis indexes indicates that there is no significant difference within 5% of significance level. In the study, students are divided into two age category. However, the age of 20s could be regarded as one category, which could be the reason why there is no significant difference.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.10
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• pp.4723-4727
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• 2016

Background: There are substantial differences in the mortality rates of stomach cancer among the 47 prefectures in Japan, and Aomori prefecture is one of the most severely impacted. The aims of this study were to determine the incidence and mortality rates of stomach cancer in Aomori prefecture in comparison with Japan as a whole and cast light on reasons underlying variation. Methods: Data on stomach cancer cases were extracted from the Aomori Cancer Registry Database. Incidence rates for specific stages at the time of diagnosis were cited from Monitoring of Cancer Incidence in Japan, and mortality rates for stomach cancer in Aomori prefecture and the whole of Japan were obtained from Vital Statistics. Age-standardised incidence and mortality rates were calculated using the direct method. Results: The age-standardised incidence rate of stomach cancer in Aomori prefecture was higher than in the whole of Japan for males but lower for females. However, the age-standardised mortality rates were higher in Aomori prefecture in both sexes. The proportion of localised cancers was lower in Aomori prefecture than in the whole of Japan for most age groups. Conclusions: The lower rate for localised cancer suggests that higher age-standardised mortality rates are due to delays in diagnosis, despite an attendance rate for stomach cancer screening was higher in Aomori prefecture than in the whole of Japan. One plausible explanation for the failure of successful early detection might be poor quality control during screening implementation that impedes early detection.

• Journal of Korean Society for Quality Management
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• v.48 no.1
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• pp.87-105
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• 2020

Purpose: This paper aims to propose a practical strategy for smart factories and a step-by-step quality strategy according to the maturity of smart factory construction. Methods: The characteristics, compositional requirements, and diagnosis system are examined for smart factories through theoretical considerations. Several cases of implementing smart factory are studied considering the company maturity level from the aspect of the smartness concept. And specific quality techniques and innovation activities are carefully reviewed. Results: The maturity level of smart factory was classified into five phases: 1) ICT non-application, 2) basic, 3) intermediate 1, 4) intermediate 2, 5) advanced level. A five-step quality strategy was established on the basis of case studies; identify, measure, analyze, optimize, and customize. Some quality techniques are introduced for step-by-step implementation of quality strategies. Conclusion: To build a successful smart factory, it is necessary to establish a quality strategy that suits the culture and size of the company. The quality management strategy proposed in this paper is expected to contribute to the establishment of appropriate strategies for the size and purpose of the company.

• Child Health Nursing Research
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• v.25 no.3
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• pp.324-332
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• 2019

Purpose: Epilepsy is the most common neurological disorder in childhood. Hospital nurses, who are the first to recognize seizures in epilepsy patients in the ward environment, possess expertise related to epilepsy and play a central role in epilepsy management. The purpose of this study was to develop an algorithm-based education program and to improve nurses' knowledge and self-efficacy related to providing nursing care to children with epilepsy. Methods: The education program consisted of lectures on the definition, cause, classification, diagnosis, treatment, and nursing of epilepsy based on a booklet, as well as practice using an algorithm for nursing interventions when a child experiences a seizure. Twenty-seven nurses working at pediatric neurological wards and a pediatric emergency room participated in the education program. The data were analyzed using descriptive statistics and the paired t-test. Results: Nurses' knowledge and self-efficacy showed a statistically significant improvement after participation in the education program on nursing care for children with epilepsy. Conclusion: The application of this education program for hospital setting is expected to improve nurses' capability to care for children with epilepsy, thereby contributing to a higher quality of nursing.