• 방사성폐기물학회지
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• 제15권4호
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• pp.369-380
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• 2017

중 저준위방사성폐기물 표층처분시설 인간침입시나리오의 '평가/해석에 대한 불확실성'의 관리를 위해 GENII를 이용한 평가결과를 오염토양에 대한 방사선영향평가를 위해 개발된 RESRAD를 이용하여 검증하였다. 중저준위방사성폐기물 표층처분시설의 인간침입시나리오로 시추후거주시나리오를 선정하여 각 코드의 현상 모사에서 발생하는 한계점을 파악하고 동일한 입력데이터 조건에서 두 코드의 평가결과를 비교분석함으로써 모델링의 불확실성을 분석하였다. 평가결과 각 코드에서 일부 핵종의 거동모사에 대한 차이는 있었으나 폐쇄후관리기간 이후 선량평가 결과 모든 피폭경로에 대한 경향이 유사함을 확인하였다. 또한 RESRAD에서 확인한 선량평가 결과를 바탕으로 입력인자에 대한 민감도 분석을 수행하고 주요입력인자를 도출하였다. 이를 통해 모델링 결과 및 입력인자에 대한 불확실성을 분석하고 안전성평가 결과에 대한 신뢰성을 확인하였다. 본 연구의 결과는 중저준위방사성폐기물 처분시설의 Safety Case 구축에 활용될 수 있다.

• 한국임상수의학회지
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• 제28권1호
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• pp.101-107
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• 2011

This study aimed to determine dose-response (DR) curve of avian influenza (AI) virus to predict the probability of illness or adverse health effects that may result from exposure to a pathogenic microorganism in a quantitative microbial risk assessment. To determine the parametric DR relationship of several strains of AI virus, 7 feeding trial data sets challenging humans (5 sets) and chickens (2 sets) for strains of H3N2 (4 sets), H5N1 (2 sets) and H1N1 (1 set) from the published literatures. Except for one data set (study with intra-tracheal inoculation for data set no. 6), all were obtained from the studies with intranasal inoculation. The data were analyzed using three types of DR model as the basis of heterogeneity in infectivity of AI strains in humans and chickens: exponential, beta-binomial and beta-Poisson. We fitted to the data using maximum likelihood estimation to get the parameter estimates of each model. The alpha and beta values of the beta-Poisson DR model ranged 0.06-0.19 and 1.7-48.8, respectively for H3N2 strain. Corresponding values for H5N1 ranged 0.464-0.563 and 97.3-99.4, respectively. For H1N1 the parameter values were 0.103 and 12.7, respectively. Using the exponential model, r (infectivity parameter) ranged from $1.6{\times}10^{-8}$ to $1.2{\times}10^{-5}$ for H3N2 and from $7.5{\times}10^{-3}$ to $4.0{\times}10^{-2}$ for H5N1, while the value was $1.6{\times}10^{-8}$ for H1N1. The beta-Poisson DR model provided the best fit to five of 7 data sets tested, and the estimated parameter values in betabinomial model were very close to those of beta-Poisson. Our study indicated that beta-binomial or beta-Poisson model could be the choice for DR modeling of AI, even though DR relationship varied depending on the virus strains studied, as indicated in prior studies. Further DR modeling should be conducted to quantify the differences among AI virus strains.

• 한국식품위생안전성학회지
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• 제35권6호
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• pp.607-617
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• 2020

인체 바이오모니터링(Human biomonitoring, HBM) 데이터는 뇨와 혈액 등 생체지표으로부터 환경유해물질의 측정을 통해 획득되며, 다양한 노출원과 경로로부터 노출되는 유해물질의 인체노출수준 및 건강영향과의 상관성을 파악하기 위해 매우 중요하다. 국내의 경우 식품의약품안전처를 비롯한 국가기관의 다양한 HBM 프로그램을 통하여 HBM 데이터가 생산되고 있다. 그러나, 목적, 시기, 연구자 및 측정 장비의 차이에 의하여 서로 다른 형식에 따라 생산되다 보니, 데이터의 호환성의 문제로 인하여 특정 HBM 데이터를 신속하게 조회해야 하거나 인구집단별 시간적 추이분석 내지는 다른 국가의 자료와 비교에 난점을 가지고 있다. 따라서, 본 연구에서는 HBM 데이터를 체계적으로 데이터베이스(Database, DB)화하고 활용성을 증진하게 시킬 목적으로 지식 모델링을 실시하였다. 지식 모델링은 HBM 데이터의 생산되는 변수들을 그룹화하고 관계를 분석하여 2차원 구조의 개체 및 집합론에 기초한 방법론인 관계형 데이터 모델링 기법을 활용하여 실시하였다. 지식모델은 조사대상자를 인구집단으로 중심으로 설문자료, 측정자료, 노출 평가자료 개체로 구성하고 그 안에 속성들을 정의하고, 개체간에 관계를 설정하는 방식으로 구성하였다. 또한, 도출된 지식 모델을 기반으로 식품의약품안전처에서 2006년-2018년까지 수행한 HBM의 원시데이터를 수집, 정제 및 정규화하여 통합 DB를 구축하였다. 이와 같이 통합된 HBM-DB는 개별 자료원 내지는 특정 자료원들을 선택하여 기간별 농도 수준에 대한 통계분석은 물론, 다양한 검색조건을 통하여 데이터 추출을 할 수 있는 구조로 구축하였다. 본 HBM-DB는 관계형 DB모델로 구축되어 지속적인 대용량 DB 축적이나 HBM 데이터 해석을 위한 도구로써 효율적으로 수행할 수 있을 것으로 생각된다.

• 한국방사선학회논문지
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• 제17권4호
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• pp.557-564
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• 2023

본 연구에서는 차폐성능의 우수함이 증명된 납 사용에 있어 나타나는 단점을 보완하고 불필요한 인체 피폭을 제어하기 위하여 3D 프린팅 기술을 이용하였다. 3D 프린터는 3차원 형상 구현이 가능하며, 개인의 아이디어를 즉각적으로 적용할 수 있어 시제품 제작 비용 및 기간을 줄여주면서 기술 보완 유지에 큰 장점이 있다. 다양한 특증의 3D 프린터 중 FDM 방식을 채택하였으며, 출력에 사용되는 필라멘트를 폴리락트산 (Polylactic acid, PLA)와 텅스텐 두 가지 소재를 혼합하여 연구용 압출기를 활용해 제작하였다. 출련된 혼합 필라멘트를 형태학적 차폐체로 구현하였으며, 선량평가를 통해 유효성 검증과 동시에 다양한 물질의 차페체 제작에 기초 정보 제공에 목적을 두었다. PLA와 텅스텐을 혼합하여 연구용 압출기로 제작된 필라멘트는 텅스텐 함유 비율에 따라서 10 %, 20 %, 30 %, 40 %, 50 %로 구분하여 제작하였다. 3D Modeling, STL File 저장, G-code생성, 출력등의 처리과정으로 10 cm × 10 cm × 0.5cm의 크기로 각각 제작하였고, 관전압 60 kVp, 80 kVp, 100 kVp, 120 kVp와 관전류 20 mAs, 40 mAs의 조건으로 선량 및 차폐성능 평가 실험하였다.

• 한국환경보건학회지
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• 제49권6호
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• pp.334-343
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• 2023

Background: South Korea's Act on Registration and Evaluation, etc. of Chemicals (known as K-REACH) was established to protect public health and the environment from hazardous chemicals. 4,4'-Methylenedianiline (MDA), which is used as a major intermediate in industrial polymer production and as a vulcanizing agent in South Korea, is classified as a toxic substance under the K-REACH act. Although MDA poses potential ecological risks due to industrial emissions and hazards to aquatic ecosystems, no ecological risk assessment has been conducted. Objectives: The aim of this study is to assess the ecological risk of MDA by identifying the actual exposure status based on the K-REACH act. Methods: Various toxicity data were collected to establish predicted no effect concentrations (PNECs) for water, sediment, and soil. Using the SimpleBox Korea v2.0 model with domestic release statistical data and EU emission factors, predicted environmental concentrations (PECs) were derived for ten sites, each referring to an MDA-using company. Hazard quotient (HQ) was calculated by ratio of the PECs and PNECs to characterize the ecological risk posed by MDA. To validate the results of modeling-based assessment, concentration of MDA was measured using in-site freshwater samples (two to three samples per site). Results: PNECs for water, sediment, and soil were 0.000525 mg/L, 4.36 mg/kg dw, and 0.1 mg/kg dw, respectively. HQ for surface water and sediment at several company sites exceeded 1 due to modeling data showing markedly high PEC in each environmental compartment. However, in the results of validation using in-site surface water samples, MDA was not detected. Conclusions: Through an ecological risk assessment conducted in accordance with the K-REACH act, the risk level of MDA emitted into the environmental compartments in South Korea was found to be low.

• Molecules and Cells
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• 제26권2호
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• pp.121-130
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• 2008

Methamphetamine, a commonly used addictive drug, is a powerful addictive stimulant that dramatically affects the CNS. Repeated METH administration leads to a rewarding effect in a state of addiction that includes sensitization, dependence, and other phenomena. It is well known that susceptibility to the development of addiction is influenced by sources of reinforcement, variable neuroadaptive mechanisms, and neurochemical changes that together lead to altered homeostasis of the brain reward system. These behavioral abnormalities reflect neuroadaptive changes in signal transduction function and cellular gene expression produced by repeated drug exposure. To provide a better understanding of addiction and the mechanism of the rewarding effect, it is important to identify related genes. In the present study, we performed gene expression profiling using microarray analysis in a reward effect animal model. We also investigated gene expression in four important regions of the brain, the nucleus accumbens, striatum, hippocampus, and cingulated cortex, and analyzed the data by two clustering methods. Genes related to signaling pathways including G-protein-coupled receptor-related pathways predominated among the identified genes. The genes identified in our study may contribute to the development of a gene modeling network for methamphetamine addiction.

• 한국환경보건학회지
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• 제43권4호
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• pp.307-313
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• 2017

Objectives: Chemicals derived from various environment media contaminates food across the food supply chain. In Korea, levels of contaminants in food have been sporadically measured by monitoring programs of different government agencies. There is difficulty with data compilation and integrated analysis across media. Therefore, the aim of this study was to propose an overall integrated database and analytical platform design for the 'ECO-FOOD NET (Environmental COntaminant reduction platform for FOOD through an interagency collaboration NETwork)', a tool to support the reduction of environmental contaminants in food. Methods: We developed a new data structure and standardized protocols for the compilation of integrated data. In addition, we conducted subject-oriented logical and physical relational database modeling and created the architecture design of the platform. Results: We established a standardized code system related to exposure media and route, analysis method and food matrix. In addition, we designed the seven software modules of 'About the System', 'Introduction to Interagency Work', 'Media-Chemicals Profiles', 'Method Bank', 'Monitoring Data Base', 'Integrated Media Analysis', and 'Risk-Benefit Analysis'. Conclusions: This study will contribute to decision-making as a tool for executing risk management, such as sustainable reduction policies of contaminants in food.

• Environmental Engineering Research
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• 제14권3호
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• pp.186-194
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• 2009

Understanding the environmental fate of human and animal pharmaceuticals and their risk assessment are of great importance due to their growing environmental concerns. Although there are many potential pathways for them to reach the environment, effluents from sewage treatment plants (STPs) are recognized as major point sources. In this study, the removal efficiencies of the 43 selected priority pharmaceuticals in a conventional STP were evaluated using two simple models: an equilibrium partitioning model (EPM) and STPWIN$^{TM}$ program developed by US EPA. It was expected that many pharmaceuticals are not likely to be removed by conventional activated sludge processes because of their relatively low sorption potential to suspended sludge and low biodegradability. Only a few pharmaceuticals were predicted to be easily removed by sorption or biodegradation, and hence a conventional STP may not protect the environment from the release of unwanted pharmaceuticals. However, the prediction made in this study strongly relies on sorption coefficient to suspended sludge and biodegradation half-lives, which may vary significantly depending on models. Removal efficiencies predicted using the EPM were typically higher than those predicted by STPWIN for many hydrophilic pharmaceuticals due to the difference in prediction method for sorption coefficients. Comparison with experimental organic carbon-water partition coefficients ($K_{ocs}) revealed that log KOW-based estimation used in STPWIN is likely to underestimate sorption coefficients, thus resulting low removal efficiency by sorption. Predicted values by the EPM were consistent with limited experimental data although this model does not include biodegradation processes, implying that this simple model can be very useful with reliable Koc values. Because there are not many experimental data available for priority pharmaceuticals to evaluate the model performance, it should be important to obtain reliable experimental data including sorption coefficients and biodegradation rate constants for the prediction of the fate of the selected pharmaceuticals.

• 한국대기환경학회지
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• 제24권3호
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• pp.310-320
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• 2008

Concentration of tropospheric ozone ($O_3$) was investigated for the South Korea. And then the critical ozone levels, expressed as AOT40 (Accumulated exposure over a threshold of 40 ppb) to vegetation have been used in this region within the UNECE (United Nations Economic Commission for Europe) Convention on Long-Range Trans-boundary Air Pollution (CLRTAP). Hourly ozone concentration data from 1996 to 2001 at 26 air monitoring stations was used to estimate the exceedance of the critical levels. It was calculated for daylight hours for each station, and mapped using surface interpolation over the South Korea. The critical levels of ozone have shown the highly exceeded value in the Gyeonggi region, southern coastal region and central inland of the South Korea. It was some different from the typical ozone distribution which represented highly in the western inland and coastal regions. The area exceeding the critical level for crops was founded to be more than 40% of the whole South Korean territory. While that for trees was to be about 17% of the South Korea. The critical ozone critical level was based upon data from experiments on specific species, and thus may not be fully representative for all types of vegetation. Nevertheless, the critical level and its exceedance of the ozone concentration would be one of the useful tools for international agreements on abatement strategies to prevent ecosystem damage.

• 한국전자파학회논문지
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• 제9권6호
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• pp.802-812
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• 1998

고전압 발/ 변전소의 근무자나 송전선 작업자 및 주변거주자가 전계 노출에 안전해야 함은 중요한 일이다. 본 논문에서는 복잡하고 계산시간이 많이 소요되는 인체의 3차원 유도전류를 계산하기 위해 전압원(송전선 로)의 효과적인 모델링 기법을 사용하여 전압원과 피유도체를 분리하지 않고 직접 3차원 정전용량을 구함으 로써 불평등 전계하의 임의의 3차원 공간상에서도 인체에 미치는 유도전류 해석이 가능한 장접을 갖도록 하 였다. 사례연구로 본 연구에서 제안한 알고리즘을 765 kV급 초고압 송전선로에 적용하여 인체 유도 안전 성을 평가한 결과 765 kV 송전선에서 인체의 단락전류는 인체의 위치에 따라 0.3 mA에서 6.8 mA로 분포 되었다. 특히, 송전선로에서 활선 작업시 단락전류 $I_{sc}$의 크기는 ANSI 허용기준인 5 mA를 념을 수 있어 활 선 작업시 작업자의 전계의 방호 대책을 위해서는 도전물질로 구성된 보호복이 필요함을 알 수 있었다.