• Journal of the Korea Society of Computer and Information
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• v.8 no.2
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• pp.75-81
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• 2003

The Korea standard model is not fitted to general company in many faces because it is made for the public institution. This report suggests the risk analysis Simulation model of Security Management based on korea standard model , to apply and operate for general companies possibly. This model tries to show many standards, come subjectively in the character of the risk analysis, objectively and generally, and tries to give you the possible countermove, which can be operated and actual , for the countermove analysis and presentation.

• Journal of the Korean Operations Research and Management Science Society
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• v.41 no.4
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• pp.33-53
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• 2016

We measure individuals' decision making styles and risk attitudes from a sample of Korean adults using the general decision making styles (GDMS) and the multiple price list design (MPLD), respectively. With the measurement results, we identify the distributions of the decision making styles and risk attitudes, and explore the relationship between them. Specifically, we conduct an exploratory experiment to find out some meaningful characteristics of the Korean adults in terms of their decision making styles and risk attitudes. The results of the experiment show that the distribution of the five decision making styles turns out to be different by the demographic characteristics of the sample. In addition, risk attitudes of the Korean people are quite distinct from those shown in the previous studies which were mostly conducted in the United States with the samples of college students. It is also shown that each of the five decision making styles has a different distribution of risk attitudes, which is statistically verified. The results of this study make a meaningful addition to the literature of this kind by providing the rationale for understanding the decision making styles and the risk attitudes of the Korean adults, which may serve as grounds for predicting the behaviors of the key individuals in various public and private sectors.

• Korean Journal of Health Education and Promotion
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• v.26 no.1
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• pp.81-92
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• 2009

Objectives: This study set out to investigate the relationship among the factors of metabolic syndrome diagnosis criteria, their risk factors including general characteristics, and the distribution of the diagnosis criteria and risk among the adult residents of a rural community. Methods: Among 1,968 residents, those who had three or more of the risk factors of metabolic syndrome, which include blood pressure, blood glucose, triglyceride, abdominal obesity, and HDL-C, were categorized as the metabolic syndrome group. And their correlations were analyzed. Results: As for the risk ratio with five factors of the metabolic syndrome diagnosis criteria, it was high according to age and smoking. In addition, the results show that body fat percentage, hs-CRP, insulin, BMI, PP2, total cholesterol, and W/Ht also had much impact on increasing the risk ratio of the metabolic syndrome diagnosis criteria. It turned out that metabolic syndrome was affected by the body mass index(BMI), insulin, waist to height ratio(W/Ht), and hs-CRP. It was 2.51 times crude odds ratio that BMI over the 25kg/m2 in the ratio of the fact of metabolic syndrome and adjusted for sex odds ratio 2.50times and W/Ht was 3.31times, adjusted for sex odds ratio 3.25 times. Conclusion: BMI, W/Ht and smoking of the general characteristics seem to have close relationships with high correlations between the metabolic syndrome diagnosis criteria and the risk factors. Thus there is an urgent need to evaluate them and take interventions and monitoring measures for the clustering of risk factors.

• Journal of Physiology & Pathology in Korean Medicine
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• v.21 no.6
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• pp.1631-1636
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• 2007

The purpose of this study was done to investigate the influence of social risk factors on each stroke type. We recruited at the Stroke Medical Center in Daejeon University Oriental Medical Hospital from July 2005 to March 2007 for this study. We divided 217 patients with acute stroke within 2 weeks as the case group(Cases), 146 people without major risk factor as the healthy control group(Normals), and 160 people as the general control group(Controls). We analyzed general characteristics such as age, sex, with or without spouse, education periods, religion, psychologic stress, and the odds ratio of each social risk factors by multivariate logistic analysis. As a result of reviewing the influence of social risk factors upon each stroke type, without spouse may be risk factor of ischemic stroke, and the undereducated may be risk factor of hemorrhagic stroke and ischemic stroke. But religion and psychologic stress had no significant relation with stroke.

• The Journal of Korean Medicine
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• v.41 no.1
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• pp.93-106
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• 2020

Objectives: The aim of this review is to ascertain whether Bojungikgi-tang and its modifications is more effective than non-specific management in chronic fatigue syndrome (CFS). Methods: We collected clinical trials to investigate the effects of Bojungikgi-tang and non-specific management on general symptoms, fatigue, and sleep quality in CFS patients. The databases used for data retrieval were Pubmed, Central Cochrane, CNKI, VIP, CiNii, OASIS, RISS, and Koreamed. We performed selection/exclusion process from the found records according to prespecified criteria, and assessed the final included trials according to the Cochrane risk of bias tool. The included studies were classified on the basis of interventions in experimental group. Results: Seven randomized controlled trials (476 participants) were eligible and their results were synthesized in the meta-analysis. The synthesis showed a substantial effect of Bojungikgi-tang (relative risk 0.20 [95% CI 0.13 to 0.31], Z=7.44, P<0.00001; I²=0%) and combination of Bojungikgi-tang and Sosiho-tang (relative risk 0.15 [95% CI 0.08 to 0.28], Z=5.85, P<0.00001; I²=0%) compared with non-specific management on improvement of general symptoms. However, we could not find sufficient clinical research records to determine their effects of improvement on fatigue and sleep quality. Conclusions: Bojungikgi-tang and its modifications are more effective than non-specific management for improvement of general symptoms in CFS post-treatment.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.4
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• pp.1515-1518
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• 2012

Aim: We conducted a prospective study in an Chinese population to detect the association between GSTM, GSTT and GSTP gene polymorphisms and survival of gastric cancer. Methods: A prospective follow-up study with 317 gastric cancer patients was conducted between January 2003 and January 2005. GSTM1, GSTT1 and GSTP1 genotyping was performed using ABI TaqMan Gene Expression assays. Results: Of 317 patients, 5 were lost to follow-up due to migration, while the remaining 302 patients completed the study. The median follow-up time was 34.2 months (range: 2 to 60 months), during which a total of 120 (39.1%) died of gastric cancer. The GSTT1-null genotype showed a significant increased risk of death from gastric cancer, with an HR (95% CI) of 1.59 (1.04-3.58). Moreover, we found individuals carrying null-GSTM1 and null-GSTT1 had a moderate higher risk of death from gastric cancer, with an HR of 1.92 (1.05-3.65). Conclusion: This study reported the carriage of null GSTT1 and null GSTM1 might be linked to the higher death risk from gastric cancer in Chinese population.

• Nuclear Engineering and Technology
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• v.48 no.2
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• pp.386-403
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• 2016

The safety of nuclear power plants is analyzed by a probabilistic risk assessment, and the fault tree analysis is the most widely used method for a risk assessment with the event tree analysis. One of the well-known disadvantages of the fault tree is that drawing a fault tree for a complex system is a very cumbersome task. Thus, several graphical modeling methods have been proposed for the convenient and intuitive modeling of complex systems. In this paper, the reliability graph with general gates (RGGG) method, one of the intuitive graphical modeling methods based on Bayesian networks, is improved for the reliability analyses of dynamic systems that have various operation modes with time. A reliability matrix is proposed and it is explained how to utilize the reliability matrix in the RGGG for various cases of operation mode changes. The proposed RGGG with a reliability matrix provides a convenient and intuitive modeling of various operation modes of complex systems, and can also be utilized with dynamic nodes that analyze the failure sequences of subcomponents. The combinatorial use of a reliability matrix with dynamic nodes is illustrated through an application to a shutdown cooling system in a nuclear power plant.

• Journal of Korean Public Health Nursing
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• v.36 no.2
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• pp.170-183
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• 2022

Purpose: This descriptive survey-based study aimed to identify the factors associated with obese adults' quality of life (QOL) using a secondary analysis of data collected through the 8th Korea National Health and Nutrition Examination Survey (2019). Methods: In this study, factors affecting the health-related quality of life of obese adults were analyzed by categorizing them into three independent variables: general characteristics, health behaviors, and mental health characteristics. Using t-test and analysis of variance (ANOVA), an analysis was performed to determine the differences in obese adults' QOL depending on their general characteristics, health behaviors, and mental health conditions. A hierarchical regression analysis was performed to identify the factors that affect obese adults' QOL. Results: In obese adults' general characteristics, the risk factors for QOL were older age, male, lower-income level, presence of spouse, and occupation. With regard to health behaviors, the risk factors were lack of exercise. In terms of mental health conditions, the risk factors were stress and suicidal ideation. Conclusion: Obese adults' QOL was affected by age, sex, income level, absence/presence of a spouse, occupation, health behaviors (e.g., exercise), and mental health conditions (e.g., stress and suicidal ideation).

• Journal of Genetic Medicine
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• v.12 no.2
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• pp.92-95
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• 2015

Purpose: Increased maternal age is a major risk factor for chromosomal abnormalities. The maternal age-specific risk of fetal trisomy was theoretically calculated. We investigated the actual frequency of fetal trisomy between 16 and 24 gestational weeks in pregnant women over the age of 34 at delivery. Materials and Methods: We retrospectively, over a four-year period, reviewed the medical records of women with singleton pregnancies that started their antenatal care before the 10th week of pregnancy. Pregnant women aged 34 to 45 years at the time of delivery were enrolled and divided into groups of one-year intervals. We investigated the frequency of Down syndrome and all trisomies as a function of the maternal age and compared with the theoretical maternal-age-specific risk. Results: Of the 5,858 pregnant women enrolled in the study, the rate of trisomy 21 was 0.29% (17 cases). The observed frequencies of trisomy 21 in women with maternal ages of 35 years and 40 years were 1:1,116 and 1:141, respectively. The rate of all trisomies was 0.39% (23 cases). The observed frequencies of all trisomies in women with maternal ages of 35 years and 40 years were 1:372 and 1:56, respectively. Conclusion: The frequencies of Down syndrome and all trisomies were proportional to the maternal age. However, the observed frequencies of Down syndrome and all trisomies between the 16 and 24 gestational weeks were lower than the theoretical rates.

• Journal of Korean Tunnelling and Underground Space Association
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• v.14 no.6
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• pp.667-681
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• 2012

In general, risk management consists of a series of processes or steps including risk identification, risk analysis, risk evaluation, risk mitigation measures, and risk re-evaluation. In this paper, potential risk factors that occur in shield TBM tunnels were investigated based on many previous case studies and questionaries to tunnel experts. The risk factors were classified as geological, design or construction management features. Fault Tree was set up by dividing all feasible risks into four groups that associated with: cutter; machine confinement; mucking (driving) and segments. From the Fault Tree Analysis (FTA), 12 risk items were identified and the probability of failure of each chosen risk item was obtained.