• KDI Journal of Economic Policy
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• 제39권3호
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• pp.43-62
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• 2017

This paper proposes an integrated risk-management framework that includes 1) measuring the risk of credit portfolios, 2) implementing a (macro) stress test, and 3) setting risk limits using the estimated systematic latent factor specific to capture the housing market cycle. To this end, we extract information from a set of real-estate market variables based on the FAVAR methodology proposed by Bernanke, Boivin and Eliasz (2005). Then, we show the method by which the estimated systematic factor is applied to risk management in the housing market in an integrated manner within the Vasicek one-factor credit model. The proposed methodology is well fitted to analyze the risk of slow-moving and low-defaultable forms of capital, such as alternative investments.

• 대한안전경영과학회지
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• 제24권4호
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• pp.143-148
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• 2022

This paper attempted to analyze the correlation between the risk image of the evacuees in the tunnel and the variables that affect the evacuation behavior due to the closed feeling. As to whether there is a difference in the level of recognizing the tunnel risk image according to the distribution of jobs, the null hypothesis was rejected at the significance probability of 0.002, so it can be said that the level of recognition of the tunnel risk image varies depending on the job group. In the distribution difference between gender and tunnel risk image recognition level, the significance probability was 0.012, indicating that the null hypothesis was rejected, indicating that the tunnel risk recognition distribution according to gender was different. As a result of analyzing the distribution difference between the tunnel's closed feeling and the tunnel risk perception level, the significance probability was 0.001, and the null hypothesis was rejected, indicating that there was a difference in the tunnel risk image level.

• 대한물리의학회지
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• 제18권2호
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• pp.13-21
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• 2023

PURPOSE: This study examined the specific clinical risk factors in middle-aged men with age-related loss of skeletal muscle mass (ALSMM). METHODS: The present research analyzed the data from a cross-sectional study of 1,564 community-dwelling participants aged between 40 to 49 years old. The participants were screened for ALSMM. The study examined various risk factors, including age, height, weight, body mass index, waist circumference, skeletal muscle mass index, smoking and drinking status, systolic and diastolic blood pressure, fasting glucose levels, and triglyceride and cholesterol levels. RESULTS: The risk factors of ALSMM were height, body mass index, waist circumference, skeletal muscle mass index, systolic blood pressure, diastolic blood pressure, drinking status, fasting glucose, and triglyceride levels (p < .05). The weight, triglyceride, and smoking status variables were non-significant (p > .05). CONCLUSION: The risk factors for ALSMM among community-dwelling adults were determined. These results are expected to contribute to the existing literature on ALSMM and provide potential risk factors associated with the development of ALSMM in middle-aged males.

• 정보보호학회논문지
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• 제24권1호
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• pp.207-214
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• 2014

최근 스마트폰 스파이웨어는 PC의 여러 가지 유형의 바이러스 요소들을 닮아가고 있으며, 점점 심각해지고 있는 추세이다. 또한 스마트폰 스파이웨어의 성장속도에 비해 스마트폰의 보안과 관련된 측면들은 매우 취약한 상태이지만 사용자들은 그러한 위험 요소들을 심각하게 인지하지 못하고 있는 실정이다. 이에 본 연구는 개인적 성향과 스파이웨어에 대한 인식을 바탕으로 정보보안이 스마트폰 선택에 미치는 영향을 살펴본다. 연구 모델의 주요 변수는 독립 변수로 개인별 위험성 감수정도와 스마트폰 스파이웨어 위험성을 선정하고, 종속 변수로 스마트폰 구매 의향을 설정하였다. 현재 스마트폰을 사용하고 있는 사용자를 대상으로 설문조사를 통해 얻은 200부의 유효한 자료를 SPSS 21 통계 프로그램을 이용하여 검증하였다. 연구결과에 의하면 개인별 위험성 감수정도에 따라 스마트폰 스파이웨어의 위험성을 인지하는 것과, 스마트폰 스파이웨어의 위험성을 인지할수록 스마트폰 구매의향에 영향을 미치는 것으로 나타났다. 즉, 스마트폰을 선택할 때 정보보안의 영향을 파악할 수 있었다.

• 한국수자원학회논문집
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• 제48권10호
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• pp.781-791
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• 2015

댐 위험도 해석시 수문학적 변량(강수, 유출 및 수위)들의 상호관계를 고려한 체계적인 분석과정이 요구된다. 그러나 기존 댐 위험도 해석 연구에서는 변량간의 체계적인 관계 평가를 수행하는데 있어서 한계점을 나타내고 있다. 이러한 점에서, 본 연구에서는 수리 수문학적 변량간의 관계를 효과적으로 평가하고자 Bayesian Network 기반의 댐 위험도 해석 기법을 개발하였다. 실제 댐에 대해서 제안된 모형을 적용한 결과 파괴인자간의 상호관계 규명 및 불확실성을 평가하는데 있어서 기존 연구보다 쉽게 가장 큰 파괴인자를 파악할 수 있는 장점이 있었다. 이와 더불어 다양한 시나리오에 따른 댐의 안정성을 파괴확률 및 예상피해의 함수인 위험도로 평가할 수 있도록 하였다. 즉, 기존 댐 위험도 기법으로 수행한 결과에서는 월류 확률이 도출 되지 않았지만, Copula 함수를 도입하여 댐 초기수위를 고려한 결과 댐 월류 확률이 발생하였으며, 피해결과 역시 크게 증가하고 있는 것을 확인할 수 있었다. 이러한 결과를 기반으로 향후 댐의 보수보강 등의 우선순위 결정을 위한 도구로서 활용이 가능할 것으로 판단된다.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2008년도 정기학술발표대회 논문집
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• pp.463-466
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• 2008

건설 분야는 건설업의 특징으로 인해 타 산업에 비해 많은 위험요소를 포함한다. 2007년 기준 산업재해로 인한 1년간 손실은 근로손실일수로는 약 7000만일, 경제적 직접손실액(산재보상금 지급액)은 약 3조원이다. 여기에 간접손실을 포함한 경제적 손실 추정액은 16조원에 달한다고 추정되고 있다. 이러한 손실을 예방하기 위한 대책이 필요한 실정이다. 하지만 기존의 안전관리는 일괄적인 안전지표 및 규칙과 규제 형태의 경험적 안전지식을 중심으로 수행되어 비효율적인 측면이 있다. 이러한 문제점을 해결하기 위하여 정량적인 재해지표 산정 방법론을 제시하는 것이 본 연구의 목적이다. 기존의 재해지표에 대한 한계점을 분석한 뒤, 위험도 산정에 필요한 변수들을 설정하고, 이를 조합하여 정량적 위험도 산정 방법론을 제시하여 현 상황의 문제점들을 해결하고자 한다.

• 한국임상수의학회지
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• 제36권1호
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• pp.23-29
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• 2019

While research findings suggest that the highly pathogenic avian influenza (HPAI) is the leading cause of economic loss in Korean poultry industry with an estimated cumulative impact of $909 million since 2003, identifying the environmental and anthropogenic risk factors involved remains a challenge. The objective of this study was to identify areas at high risk for potential HPAI outbreaks according to the likelihood of HPAI virus detection in wild birds. This study integrates spatial information regarding HPAI surveillance with relevant demographic and environmental factors collected between 2003 and 2018. The Maximum Entropy (Maxent) species distribution modeling with presence-only data was used to model the spatial risk of HPAI virus. We used historical data on HPAI occurrence in wild birds during the period 2003-2018, collected by the National Quarantine Inspection Agency of Korea. The database contains a total of 1,065 HPAI cases (farms) tied to 168 unique locations for wild birds. Among the environmental variables, the most effective predictors of the potential distribution of HPAI in wild birds were (in order of importance) altitude, number of HPAI outbreaks at farm-level, daily amount of manure processed and number of wild birds migrated into Korea. The area under the receiver operating characteristic curve for the 10 Maxent replicate runs of the model with twelve variables was 0.855 with a standard deviation of 0.012 which indicates that the model performance was excellent. Results revealed that geographic area at risk of HPAI is heterogeneously distributed throughout the country with higher likelihood in the west and coastal areas. The results may help biosecurity authority to design risk-based surveillance and implementation of control interventions optimized for the areas at highest risk of HPAI outbreak potentials.

• Clinics in Shoulder and Elbow
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• 제25권1호
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• pp.36-41
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• 2022

Background: Distal biceps rupture is a relatively uncommon injury that can significantly affect quality of life. Early complications following biceps tendon repair are not well described in the literature. This study utilizes a national surgical database to determine the incidence of and predictors for short-term complications following distal biceps tendon repair. Methods: The American College of Surgeons' National Surgical Quality Improvement Program database was used to identify patients undergoing distal biceps repair between January 1, 2011, and December 31, 2017. Patient demographic variables of sex, age, body mass index, American Society of Anesthesiologists class, functional status, and several comorbidities were collected for each patient, along with 30-day postoperative complications. Binary logistic regression was used to calculate risk ratios for these complications using patient predictor variables. Results: Early postoperative surgical complications (0.5%)-which were mostly infections (0.4%)-and medical complications (0.3%) were rare. A readmission risk factor was diabetes (risk ratio [RR], 4.238; 95% confidence interval [CI], 1.180-15.218). Non-home discharge risk factors were smoking (RR, 3.006; 95% CI, 1.123-8.044) and ≥60 years of age (RR, 4.150; 95% CI, 1.611-10.686). Maleness was protective for medical complications (RR, 0.024; 95% CI, 0.005-0.126). Surgical complication risk factors were obese class II (RR, 4.120; 95% CI, 1.123-15.120), chronic obstructive pulmonary disease (COPD; RR, 21.981; 95% CI, 3.719-129.924), and inpatient surgery (RR, 8.606; 95% CI, 2.266-32.689). Conclusions: Complication rates after distal biceps repair are low. Various patient demographics, medical comorbidities, and surgical factors were all predictive of short-term complications.

• 한국의류산업학회지
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• 제22권3호
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• pp.323-334
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• 2020

This study analyzed the effects of consumers' characteristic variables on information search and purchase decisions in a decision-making process that validated the path model in purchasing apparel products. In constructing a structural equation model using AMOS 19.0., the variables including enjoyment pursuit, price pursuit, product involvement and product risk were selected as consumers' characteristic variables affecting the stage of information search. A questionnaire was distributed to consumers over 20 years old who purchased apparel products using offline and online channels within one year; consequently, we were able to analyze 468 effective data. The results were as follows. First, the path model of this research proved to be the appropriate model explaining the effects of consumers' characteristic variables on the stage of purchase decision-making. Second, enjoyment pursuit had a significant positive influence on offline information search; in addition, price pursuit and product risk affected the online information search significantly. Product involvement affected online information search as well as offline information search. Third, the offline information search affected offline purchase and online information search affected online purchase. However, consumer's channel switching behavior between the stage of information search and the stage of purchase decision was not proven. The findings suggest that companies need to develop distribution strategies according to consumers' characteristic factors that effect consumer's purchase decision-making.

• 한국학교ㆍ지역보건교육학회지
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• 제20권2호
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• pp.13-24
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• 2019

Objective: Recently, Korean adolescent has the problems of nutrition unbalance due to bad eating habits. Also, single-parent and step-parent families have consistently increased because of the increase of divorce rates. Adolescent who lives with a single or step family tends to have unhealthy behaviors and habits. The purpose of this study was to analyze relationship between family structure and irregular breakfast among Korean adolescent. Method: We analyzed 60,040 participants from Korean Youth Risk Behavior Web-based Survey 2018. Study variables included family structure and irregular breakfast. Control variables were sex, school, economic status, parent education levels, drinking, smoking and nutrition education. In terms of this study, descriptive, Chi-square and multivariate logistic regression analysis were performed. Results: After adjusting for socio-demographic variables among boys, family structure was associated with irregular breakfast (living with both parents reference group vs living with single-parent : OR 1.250, 95% CI: 1.142, 1.368). Among girls, after adjusting for control variables, family structure was also associated with irregular breakfast (living with both parents reference group vs living with no both parents : OR 1.409, 95% CI: 1.065, 1.865). Conclusion: According to this study, family structure would be a risk factor of adolescent breakfast habit. Nutrition programs for adolescent should consider these factors.