• Journal of Preventive Medicine and Public Health
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• 제37권4호
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• pp.300-305
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• 2004

Objectives : The exposure to particulate air pollution during the pregnancy has reported to result in adverse pregnancy outcome such as low birth weight, preterm birth, still birth, and intrauterine growth retardation (IUGR). We aim to assess whether prenatal exposure of particulate matter less than 10 (m in diameter ($PM_{10}$) is associated with preterm birth in Seoul, South Korea. Methods : We included 382,100 women who delivered a singleton at 25-42 weeks of gestation between 1998 and 2000. We calculated the average PM10 exposures for each trimester period and month of pregnancy, from the first to the ninth months, based on the birth date and gestational age. We used three different models to evaluate the effect of air pollution on preterm birth; the logistic regression model, the generalized additive logistic regression model, and the proportional hazard model. Results : The monthly analysis using logistic regression model suggested that the risks of preterm birth increase with PM10 exposure between the sixth and ninth months of pregnancy and the highest risk was observed in the seventh month (adjusted odds ratio=1.07, 95% CI=1.01-1.14). We also found the similar results using generalized additive model. In the proportional hazard model, the adjusted odds ratio for preterm births due to PM10 exposure of third trimester was 1.04 (95% CI=0.96-1.13) and PM10 exposure between the seventh month and ninth months of pregnancy was associated with the preterm births. Conclusions : We found that there were consistent results when we applied the three different models. These findings suggest that air pollution exposure during the third trimester pregnancy has an adverse effect on preterm birth in South Korea.

• Journal of Preventive Medicine and Public Health
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• 제50권6호
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• pp.377-385
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• 2017

Objectives: Although mercury (Hg) exposure is known to be neurotoxic in humans, its effects on liver function have been less often reported. The aim of this study was to investigate whether total Hg exposure in Korean adults was associated with elevated serum levels of the liver enzymes aspartate aminotransferase (AST), alanine transaminase (ALT), and gamma-glutamyltransferase (GGT). Methods: We repeatedly examined the levels of total Hg and liver enzymes in the blood of 508 adults during 2010-2011 and 2014-2015. Cross-sectional associations between levels of blood Hg and liver enzymes were analyzed using a generalized linear model, and nonlinear relationships were analyzed using a generalized additive mixed model. Generalized estimating equations were applied to examine longitudinal associations, considering the correlations of individuals measured repeatedly. Results: GGT increased by 11.0% (95% confidence interval [CI], 4.5 to 18.0%) in women and 8.1% (95% CI, -0.5 to 17.4%) in men per doubling of Hg levels, but AST and ALT were not significantly associated with Hg in either men or women. In women who drank more than 2 or 3 times per week, AST, ALT, and GGT levels increased by 10.6% (95% CI, 4.2 to 17.5%), 7.7% (95% CI, 1.1 to 14.7%), and 37.5% (95% CI,15.2 to 64.3%) per doubling of Hg levels, respectively, showing an interaction between blood Hg levels and drinking. Conclusions: Hg exposure was associated with an elevated serum concentration of GGT. Especially in women who were frequent drinkers, AST, ALT, and GGT showed a significant increase, with a significant synergistic effect of Hg and alcohol consumption.

• 생태와환경
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• 제44권2호
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• pp.195-202
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• 2011

본 연구에서는 일본전국을 연구대상지로 선정하고 대상지에 서식하고 있는 대표 외래어종인 배스와 블루길의 공간적 서식분포 특성을 평가하였다. 또한 GAM, GLM, CTA 등의 세가지 통계 기법을 이용하여 일본전국에서의 해당 어종에 대한 공간적 분포패턴을 예측하였다. 그 결과 배스와 블루길 등의 외래어종은 인구 및 댐 풍의 인위적인 환경인자와 유의한 정의 관계를 보임에 따라 외래어종의 확산에 미치는 인간활동의 부정적인 영향이 확인되었다. 또한 회귀모델을 통한 해당어종의 서식확률 예측을 통한 배스와 블루길의 서식 분포는 각각 GAM (AUC: 0.88, Kappa: 0.42)과 CTA (AUC: 0.92, Kappa: 0.44)에 의해서 가장 정확하게 예측되는 것으로 평가되었고, 가장 유의한 환경인자는 연평균기온으로 나타났다. 따라서 각 생물종별로 서식확률을 추정하고 예측하는데 있어서 적합한 통계모델에 대한 검증은 생물종별로 선행되어야 할 필요가 있을 것으로 판단된다. 비록 본 연구의 연구대상지는 일본이지만 국내의 경우도 최근 들어 어류를 포함한 생물조사가 다수의 조사연구에서 광역적으로 시행되고 있기 때문에 본 연구와 같은 다량자료를 이용한 광역 스케일에서의 생물종의 서식확률 및 출현종수에 대한 연구가 충분히 가능할 것으로 판단된다.

• Transactions on Control, Automation and Systems Engineering
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• 제2권1호
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• pp.7-12
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• 2000

A new speech enhancement algorithm for speech corrupted by slowly varying additive colored noise is suggested based on a state-space signal model. Due to the FIR structure and the unimportance of long-term past information, the receding horizon (RH) FIR filter known to be a best linear unbiased estimation (BLUE) filter is utilized in order to obtain noise-suppressed speech signal. As a special case of the colored noise problem, the suggested approach is generalized to perform the single blind signal separation of two speech signals. It is shown that the exact speech signal is obtained when an incoming speech signal is noise-free.

• Journal of the Korean Data and Information Science Society
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• 제20권5호
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• pp.765-777
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• 2009

본 연구에서는 대기오염물질 중에서 주목을 받고 있는 분진 직경이 10마이크로미터 (micrometer) 이내의 것을 대상으로 실제로 증가하는지 감소하는지를 알아보기 위하여 교락 요인을 제외한 분진을 대상으로의 순수한 장기 추세를 연구하였다. 자료는 1996년에서 2000년까지 서울시의 기상 변수들 (최대기온, 평균습도, 최대풍속, 일사량)과 27지점에서 얻은 분진 직경이 10마이크로미터 이내의 것을 이용한다. 이 자료를 이용하여 분진과 비선형 관계를 보이는 기상 변수들의 회귀 스플라인을 이용하여 계절성을 통제한 일반화 부가모형을 세웠다. 그 결과 증가가 아닌 감소하는 순수 장기 추세를 얻을 수 있었다.

• 한국산림과학회지
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• 제99권6호
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• pp.908-913
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• 2010

본 연구는 한국 중부지방의 소나무와 참나무류의 생장에 기후와 지형인자가 미치는 영향을 분석하였다. 입목의 반경생장량과 기상 인자간의 관계를 규명하기 위해 수목의 목편을 채취하고 연년반경생장량을 측정하였다. 본 연구에서는 연년반경생장량이 기본적으로 수령에 영향을 받는다고 가정하여 수령을 독립변수로 하는 생장량을 추정하고 이를 기반으로 수령 30년 일때의 생장량을 표준생장량으로 정의하여 추정하였다. 표준생장량의 공간분석을 통해 소나무 생장의 공간적인 변이성을 발견하였으며, Generalized Additive Model(GAM) 통해 지형 및 기상인자와 표준 생장량간의 관계를 밝힐 수 있었다. 기온상승은 소나무 생장에는 부(-)의 영향을 참나무에는 양(+)의 영향을 주며, 강수량 증가는 두 수종 모두에게 부(-)의 영향을 주는 것으로 나타났다. 또한, 표준생장량과 지형 및 기상 인자간의 관계식을 GIS기반 임상도의 소나무와 참나무류 공간분포에 적용하여 기온상승에 대한 소나무와 참나무류의 공간분포변화를 예측하였다. 이를 통해 우리나라의 소나무는 참나무류에 비해 기후변화에 취약하며, 60년 이후에는 동해안 및 남부지역을 중심으로 대부분의 소나무림이 참나무류림으로 대체될 것으로 예측되었다.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.513-521
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• 2020

In this paper, we have developed a Fama - French five factor model (FF5 model) from Fama & French (2015) by using concept of time-varying coefficient. For a data set, we have used monthly data form Kenneth R. French home page, it include Japan portfolios (classified by using size and book-to-market) and 5 factors from July 1990 to April 2020. The first analysis, we used Augmented Dickey-Fuller test (ADF test) for the stationary test, from the result, all Japan portfolios and 5 factors are stationary. Next analysis, we estimated a coefficient of Fama - French five factor model by using a generalized additive model with a thin-plate spline to create the time-varying coefficient Fama - French five factor model (TV-FF5 model). The benefit of this study is TV-FF5 model which can capture a different effect at different times of 5 factors but the traditional FF5 model can't do it. From the result, we can show a time-varying coefficient in all factors and in all portfolios, for time-varying coefficients of Rm-Rf, SMB, and HML are significant for all Japan portfolios, time-varying coefficients of RMW are positively significant for SM, and SH portfolio and time-varying coefficients of CMA are significant for SM, SH, and BM portfolio.

• 한국환경보건학회지
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• 제49권3호
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• pp.149-158
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• 2023

Background: Injury is one of the major health problems in South Korea. Few studies have evaluated both intentional and unintentional injury when investigating the association between exposure to air pollutants and injury. Objectives: We aimed to explore the association between short-term exposure to ambient air pollution and years of life lost (YLLs) due to injury. Methods: Data on daily YLLs for 2002~2019 were obtained from the the Death Statistics Database of the Korean National Statistical Office. This study estimated short-term exposure to particulate matter with an aerodynamic diameter of <10 ㎛ (PM₁₀), particulate matter with an aerodynamic diameter of <2.5 ㎛ (PM_2.5), sulfur dioxide (SO₂), nitrogen dioxide (NO₂), carbon monoxide (CO), and ozone (O₃). This time series study was conducted using a generalized additive model (GAM) assuming a Gaussian distribution. We also evaluated a delayed effect of ambient air pollution by constructing a lag structure up to seven days. The best-fitting lag was selected based on smallest generalized cross validation (GCV) value. To explore effect modification by intentionality of injury (i.e., intentional injury [self-harm, assault] and unintentional injury), we conducted stratified subgroup analyses. Additionally, we stratified unintentional injury by mechanism (traffic accident, fall, etc.). Results: During the study period, the average daily YLLs due to injury was 307.5 years. In the intentional injury, YLLs due to self-harm and assault showed positive association with air pollutants. In the unintentional injury, YLLs due to fall, electric current, fire and poisoning showed positive association with air pollutants, whereas YLLs due to traffic accident, mechanical force and drowning/submersion showed negative associations with air pollutants. Conclusions: Injury is recognized as preventable, and effective strategies to create a safe society are important. Therefore, we need to establish strategies to prevent injury and consider air pollutants in this regard.

• 한국환경보건학회지
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• 제32권4호
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• pp.304-315
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• 2006

This study is performed to reexamine the association between ambient air pollution and daily mortality in seven major cities of Korea using a method of meta-analysis with the data filed for the period 1998-2001. These cities account for half of the Korean population (about 23 million). The observed concentrations of carbon monoxide (CO, mean=1.08 ppm), ozone ($O_3$, mean=33.97 ppb), particulate matter less than 10 ${\mu}m$ ($PM_{10},\;mean=57.11\;{\mu}g/m^3$), nitrogen dioxide ($NO_2$, mean=25.09 ppb), and sulfur dioxide ($SO_2$, mean=9.14 ppb) during the study period were at levels below Korea's current ambient air quality standards. Generalized additive models were applied to allow for the highly flexible fitting of seasonal and long-term time trends in air pollution as well as nonlinear associations with weather variables, such as air temperature and relative humidity. Also, we calculated a weighted mean as a meta-analysis summary of the estimates and its standard error. In city-specific analyses, an increase of $41.17{\mu}g/m^3(IQR)\;of\;PM_{10}$ corresponded to $1{\sim}12%$ more deaths, given constant weather conditions. Like most of air pollution epidemiologic studies, this meta-analysis cannot avoid fleeing from measurement misclassification since no personal measurement was taken. However, we can expect that a measurement bias be reduced in district-specific estimate since a monitoring station is better representative of air quality of the matched district. Significant heterogeneity was found for the effect of all pollutants. The estimated relative risks from meta-like analysis increased compared to those relative risks from pooled analysis. The similar results to those from the previous studies indicated existence of health effect of air pollution at current levels in many industrialized countries, including Korea.

• 한국환경보건학회지
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• 제34권5호
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• pp.361-368
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• 2008

Objective to assess whether exposure to air pollutants is associated with postneonatal infant death, using a timeseries methodology, between 1999 and 2003 in Seoul, Korea.. Methods We investigated the short-term effects of air pollution for 548,725 live births during the study period. The daily count of postneonatal infant deaths from all causes and from SIDS (sudden infant death syndrome) by birth order was analyzed by a Generalized Additive Poisson model, with controlling for the effects of seasonal trends, air temperature, relative humidity, barometric pressure, and day of the week as covariates. Results During the study period, we observed 699 deaths from all causes and 47 deaths from SIDS. We did not find any significant associations between daily mortality and ambient levels of air pollutants except for CO and $NO_2$. The estimated relative risk of postneonatal infant death from all causes was 1.17 (95% CI=1.04-1.32) and 1.16 (95% CI=1.03-1.29) by IQR (interquartile range) for CO and $NO_2$ respectively. Also, we observed no clear trend of the mortality effects of air pollution by birth orders. Conclusion In conclusion, our findings suggest that air pollution, in general, influenced adversely postneonatal infant death from all-cause and SIDS although it was not statistically significant. This study may support that the rationale.