• 한국직업건강간호학회지
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• 제27권4호
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• pp.203-214
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• 2018

Purpose: The purpose of this study was to identify factors influencing the quality of working life of cancer survivors (QWL-CS) after return to the workplace. Methods: Data were collected from 154 cancer survivors from May 16 to June 23, 2018. Participants were selected as candidates from two different hospitals in the metropolitan area and snowball sampling was used in parallel. The data were analyzed by SPSS 21.0 using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and stepwise multiple linear regression. Results: Mean score of QWL-CS was $4.39{\pm}0.59$. QWL-CS was negatively correlated with fatigue, and job stress: however, it was positively correlated with workplace spirituality. The factor that had the greatest influence on the QWL-CS was job stress (${\beta}=-.36$, p<.001), followed by fatigue (${\beta}=-.35$, p<.001), workplace spirituality (${\beta}=.35$, p<.001), number of currently cancer treatment (${\beta}=-.15$, p=.009), and number of children (${\beta}=.12$, p=.031). The explanatory power of models was 54%. Conclusion: Effective and practical intervention programs for increasing the quality of working life are required to be provided to cancer survivors after return to the workplace in accordance with job stress, fatigue, workplace spirituality, and general characteristics of cancer survivors such as number of currently cancer treatments and number of children.

• Journal of Preventive Medicine and Public Health
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• 제54권1호
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• pp.37-45
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• 2021

Objectives: Bisphenol A (BPA) is used in the electrical, mechanical, medical, and food industries. Previous studies have suggested that BPA is an endocrine disruptor. Regulation of BPA has led to increased use of bisphenol F (BPF) and bisphenol S (BPS). However, few studies have investigated the associations of BPF and BPS with thyroid dysfunction in children. Our study investigated the associations of prenatal BPA and early childhood BPA, BPF, and BPS exposure with thyroid function in 6-year-old children. Methods: Prenatal BPA concentrations were measured during the second trimester of pregnancy in an established prospective birth cohort. We measured urinary BPA, BPF, and BPS concentrations and thyroid hormone levels (thyroid-stimulating hormone, total T3, and free T4) in 6-year-old children (n=574). We examined the associations between urinary bisphenol concentrations and percentage change of thyroid hormone concentrations using multivariate linear regression. We also compared thyroid hormone levels by dividing the cohort according to BPA, BPF, and BPS concentrations. Results: The associations between prenatal BPA and total T3 levels were statistically significant in all models, except for girls when using a crude model. The associations between urinary BPA and BPS concentrations and levels of all thyroid hormones were not statistically significant. However, we observed that lower free T4 levels (-1.94%; 95% confidence interval, -3.82 to -0.03) were associated with higher urinary BPF concentrations in girls only. Conclusions: Our findings identified significant associations between prenatal BPA exposure and total T3 levels in all children and between BPF exposure and free T4 levels in girls only.

• 대한건축학회논문집:계획계
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• 제34권5호
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• pp.3-10
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• 2018

The purpose of this study is to estimate the attractiveness value according to the preference level on architectural aesthetic. This research starts from the concept that aesthetic is phenomenon and from the viewpoint of 'attraction value' which affects goods. Interactive internet surveys were conducted for 500 citizens of Seoul metropolitan city who are potential users of the Nodle Islet Cultural Center. Based on the scenarios and questionnaires with fuzzy models, we have examined the evaluation of architectural aesthetic and monetary willing-to-payment, and estimated the economic value by preference level of architectural aesthetic through linear regression analysis. The main results of the study are as follows: First, the economic value of the Nodle Islet Cultural Center was estimated at ?15,683.43/person. Residents of Seoul metropolitan city were willing to accept the increase in the above-mentioned amount of the facility fares when their preferred works (average 86.81 points) were constructed. (P <0/05) Second, it is confirmed that the economic value increases dramatically as the preference level of architectural aesthetic increases. Third, it is presumed that the infinite valuation of architectural aesthetic and the problem of free riding coexist in the estimation of economic valuation of architectural aesthetic for public buildings. Fourth, by mixing the fuzzy logic with contingent valuation method, starting point bias and no response biases that happened in contingent valuation could be disappeared. bias elimination must be considered seriously because another bias could be happened in full process of the research. The results of this study will serve as a basis for spreading architectural aesthetic value-oriented research from the vague and obscure aesthetic-centered discussion on the existing architectural aesthetic. In addition, it will be an opportunity to draw institutional application and utilization strategy of architectural aesthetic through architectural aesthetic value research.

• 한국폐기물자원순환학회지
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• 제35권8호
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• pp.777-784
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• 2018

Since climate change increases the risk of extreme rainfall events, concerns on flood management have also increased. In order to rapidly recover from flood damages and prevent secondary damages, fast collection and treatment of flood debris are necessary. Therefore, a quick and precise estimation of flood debris generation is a crucial procedure in disaster management. Despite the importance of debris estimation, methodologies have not been well established. Given the intrinsic heterogeneity of flood debris from local conditions, a regional-scale model can increase the accuracy of the estimation. The objectives of this study are 1) to identify significant damage variables to predict the flood debris generation, 2) to ascertain the difference in the coefficients, and 3) to evaluate the accuracy of the debris estimation model. The scope of this work is flood events in Ulsan city region during 2008-2016. According to the correlation test and multicollinearity test, the number of damaged buildings, area of damaged cropland, and length of damaged roads were derived as significant parameters. Key parameters seems to be strongly dependent on regional conditions and not only selected parameters but also coefficients in this study were different from those in previous studies. The debris estimation in this study has better accuracy than previous models in nationwide scale. It can be said that the development of a regional-scale flood debris estimation model will enhance the accuracy of the prediction.

• 지식경영연구
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• 제21권4호
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• pp.157-173
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• 2020

최근 빠르게 성장하고 있는 숙박 공유경제 시장에서 품질에 대한 불확실성은 사용자의 만족도에 영향을 미치는 위험요소지만, 이는 시설 제공자가 공개하는 정보를 통해 완화될 수 있다. 그 중 시설 제공자의 본인에 대한 자기소개는 사용자와의 정서적 교류를 통해 심리적 거리를 제거함으로써 공유 성과에 긍정적 영향을 미친다. 본 연구는 대표적인 숙박공유경제 플랫폼인 Airbnb에서 호스트의 자기소개가 포함하는 정보의 종류에 따라 공유성과에 미치는 영향을 분석하고, Airbnb의 숙소 유형에 따라 차이를 분석하였다. 이를 위해 호스트가 공개하는 자기소개 텍스트를 문장별로 분리하고 비지도 학습기반의 딥러닝 방법인 Attention-Based Aspect Extraction 방법을 활용하여 각 문장이 포함하는 의미를 추출하였다. 추출된 의미를 토대로 자기소개 텍스트가 포함하는 의미가 공유성과에 미치는 영향과 숙소 유형에 따른 교호작용 효과를 분석하였다. 연구결과, 숙소 유형별로 호스트의 특정 성향이 공유성과에 긍정적인 영향을 미치는 것을 확인하였고, 이를 통해 숙소 유형에 따라 공유성과를 극대화하기 위한 마케팅 전략에 대한 실증적인 함의를 제공한다.

• 한국산학기술학회논문지
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• 제22권3호
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• pp.261-267
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• 2021

예비군훈련을 담당하는 부대의 임무는 예비군이 평시에 실전적인 훈련을 받을 수 있는 환경을 만들어주는 것이다. 하지만 예비군훈련 담당부대의 특성상 운용 할 수 있는 병력부족의 문제로 실전적인 훈련환경을 만들어주는 예비군 훈련 지원 인원편성에 어려움이 많이 있다. 이러한 이유로 현재 군에서는 전년도 월 평균 예비군 입소율 결과로 당해연도 일일단위 예비군 입소율을 예측하면서 인력편성과 부대운영에 대한 계획을 수립하고 있다. 그러나 기존 예측방법은 실제 입소율과 비교 시 오차가 크게 발생할 수 있다는 문제점을 가지고 있다. 이 문제점은 훈련을 지원하는 교관과 조교 선정에 어려움을 주어 훈련성과 달성에 부정적으로 작용할 수 있다. 그러므로 실제 입소율과 오차를 최소화 할 수 있는 더 정확한 예측모형이 필요하다. 따라서 본 연구에서는 데이터마이닝을 기반으로 일일단위 예비군훈련 입소율을 예측한 모형을 제시하였다. 데이터마이닝 기반 모형의 검증을 위해 예비군훈련 담당부대에서 수집한 실제 데이터로 현재 군에서 사용하는 기존 예측방법과 비교하였다. 그 결과 본 연구에서 제시한 데이터마이닝 기반 예측모형이 기존 예측방법보다 오차를 줄이는 우수한 성능을 보였다.

• 한국경제지리학회지
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• 제25권1호
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• pp.183-201
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• 2022

주택가격을 정확히 추정하기 위한 많은 연구가 진행되어 왔다. 선행연구들은 주택의 고유 특성과 인근 지역 특성을 통제하는 계량경제모형을 활용한 분석이 많았다. 본 연구에서는 인공신경망 모형(ANN)을 활용하여 주택가격을 추정하였다. 딥러닝 기술의 장점은 변수 간의 복잡하고 비선형적인 특성을 모델링하고 데이터의 패턴을 인식할 수 있다는 것이다. 본 연구에서는 부동산 시장에서 공간적 분포도 패턴으로 인식할 수 있다는 가정하에 지리좌표를 설명변수로 ANN에 투입하였다. 선형회귀분석과 ANN 모형 간 비교 결과, 선형 모형 대비 ANN 모형의 설명력이 높았으며, 특히 ANN 모형은 지리좌표를 투입하였을 때 더 높은 정확도를 보여주었다. 또한 ANN 모형의 경우 지리좌표를 통해 모형 잔차의 공간적 자기 상관성이 크게 감소하였다는 점을 확인하였다. 이를 통해 ANN 모형의 패턴인식 능력을 활용하면 공간적 패턴을 학습시킴으로써 주택가격을 정확히 추정할 수 있음을 밝혔다.

• Nutrition Research and Practice
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• 제16권2호
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• pp.260-271
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• 2022

BACKGROUND/OBJECTIVES: The prevalence of obesity has been increasing in Korean children. As an unhealthy diet is known as one of the major determinants of childhood obesity, assessing and monitoring dietary fat intake of children is needed. SUBJECTS/METHODS: This analysis included 9,998 children aged 3-11 yrs from the 2007-2017 Korea National Health and Nutrition Examination Surveys. Dietary data were obtained from a single 24-h dietary recall. Intakes of total fat and fatty acids, including saturated fatty acid (SFA), monounsaturated fatty acid (MUFA), polyunsaturated fatty acid (PUFA), n-3 fatty acid (n-3 FA), and n-6 fatty acid (n-6 FA) were evaluated as the absolute amount (g) and proportion of energy from each fatty acid (% of energy). The total fat and SFA intake were also assessed according to compliance with dietary guidelines. Linear trends in the dietary fats intake across the survey period were tested using multiple regression models. RESULTS: Total fat intake significantly increased from 38.5g (20.3% of energy) to 43.4g (23.3% of energy) from 2007 to 2017. This increase was mainly accounted for the increases in intakes of SFA (7.2% to 8.4% of energy) and MUFA (6.2% to 7.5% of energy). PUFA intake increased from 4.4 to 4.7% of energy during the 11-yrs period: from 0.57 to 0.63% of energy for n-3 FA and from 3.8 to 4.1% of energy for n-6 FA. The proportions of children who consumed amounts exceeding the dietary guidelines for total fat and SFA significantly increased from 2007 to 2017, with increases from 9.8% to 17.4% for total fat and from 36.9% to 50.9% for SFA. CONCLUSIONS: Prominent increasing trends in the consumption of total fat and SFA but tiny change in n-3 FA intake were observed in Korean children. The healthy intake of dietary fats should be emphasized in this population.

• 유통과학연구
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• 제20권8호
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• pp.93-103
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• 2022

Purpose: Online shopping festivals have quickly become the newest trend in online shopping worldwide due to the COVID-19 pandemic. This has led to marketing distribution channels that traditionally emphasized traditional techniques having turned to electronic commerce platforms. Although the pandemic scenario encourages online purchasing, other factors, such as the influence of participation intention to shop during the Online Shopping Festival, must also be considered. Research design, data and methodology: Multiple linear regression analysis was used to test the hypothesis based on data from 121 respondents who are actively involved with online shopping activities in Klang Valley, Selangor. Results: The results of this study show that promotion categories and the perceived influence of mass participation have a significant influence on participation intention. Meanwhile, the perceived temptation of price promotion and perceived fun promotional activities did not significantly influence participation intention. Conclusions: Theoretically, this study contributes to the literature by using the Theory of Planned Behavior and Stimulus-Response models to explain the factors that drive participation intention for online shopping. In practice, this study attracts and encourages customers to shop during the festival day because various attractive promotions are offered by sellers in Malaysia.

• Animal Bioscience
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• 제34권9호
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• pp.1451-1459
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• 2021

Objective: The objectives of the study were to evaluate reproductive performance and selection response through genetic trend of community-based breeding programs (CBBPs) of Bonga sheep. Methods: Reproduction traits data were collected between 2012 and 2018 from Bonga sheep CBBPs. Phenotypic performance was analyzed using the general linear model procedures of Statistical Analysis System. Genetic parameters were estimated by univariate animal model for age at first lambing (AFL) and repeatability models for lambing interval (LI), litter size (LS), and annual reproductive rate (ARR) traits using restricted maximum likelihood method of WOMBAT. For correlations bivariate animal model was used. Best model was chosen based on likelihood ratio test. The genetic trends were estimated by the weighted regression of the average breeding value of the animals on the year of birth/lambing. Results: The overall least squares mean±standard error of AFL, LI, LS, and ARR were 375±12.5, 284±9.9, 1.45±0.010, and 2.31±0.050, respectively. Direct heritability estimates for AFL, LI, LS, and ARR were 0.07±0.190, 0.06±0.120, 0.18±0.070, and 0.25±0.203, respectively. The low heritability for both AFL and LI showed that these traits respond little to selection programs but rather highly depend on animal management options. The annual genetic gains were -0.0281 days, -0.016 days, -0.0002 lambs and 0.0003 lambs for AFL, LI, LS, and ARR, respectively. Conclusion: Implications of the result to future improvement programs were improving management of animals, conservation of prolific flocks and out scaling the CBBP to get better results.