• 신재생에너지
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• 제20권1호
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• pp.79-87
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• 2024

This study introduces a method for estimating Aerosol Optical Depth (AOD) using Broadband Aerosol Optical Depth (BAOD) derived from direct normal irradiance and meteorological factors observed between 2016 and 2017. Through correlation analyses between BAOD and atmospheric components such as Rayleigh scattering, water vapor, and tropospheric nitrogen dioxide, significant relationships were identified, enabling accurate AOD estimation. The methodology demonstrated high correlation coefficients and low Root Mean Square Errors (RMSE) compared to actual AOD₅₀₀ measurements, indicating that the attenuation effects of water vapor and the direct impact of tropospheric nitrogen dioxide concentration are crucial for precise aerosol optical depth estimation. The application of BAOD for estimating AOD₅₀₀ across various time scales-hourly, daily, and monthly-showed the approach's robustness in understanding aerosol distributions and their optical properties, with a high coefficient of determination (0.96) for monthly average AOD₅₀₀ estimates. This study simplifies the aerosol monitoring process and enhances the accuracy and reliability of AOD estimations, offering valuable insights into aerosol research and its implications for climate modeling and air quality assessment. The findings underscore the viability of using BAOD as a surrogate for direct AOD₅₀₀ measurements, presenting a promising avenue for more accessible and accurate aerosol monitoring practices, crucial for improving our understanding of aerosol dynamics and their environmental impacts.

• Asian Pacific Journal of Cancer Prevention
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• 제16권6호
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• pp.2521-2526
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• 2015

Objective: The purpose of this study was to evaluate computed tomography (CT) virtual non-contrast (VNC) spectral imaging for gastric carcinoma. Materials and Methods: Fifty-two patients with histologically proven gastric carcinomas underwent gemstone spectral imaging (GSI) including non-contrast and contrast-enhanced hepatic arterial, portal venous, and equilibrium phase acquisitions prior to surgery. VNC arterial phase (VNCa), VNC venous phase (VNCv), and VNC equilibrium phase (VNCe) images were obtained by subtracting iodine from iodine/water images. Images were analyzed with respect to image quality, gastric carcinoma-intragastric water contrast-to-noise ratio (CNR), gastric carcinoma-perigastric fat CNR, serosal invasion, and enlarged lymph nodes around the lesions. Results: Carcinoma-water CNR values were significantly higher in VNCa, VNCv, and VNCe images than in normal CT images (2.72, 2.60, 2.61, respectively, vs 2.35, $p{\leq}0.008$). Carcinoma-perigastric fat CNR values were significantly lower in VNCa, VNCv, and VNCe images than in normal CT images (7.63, 7.49, 7.32, respectively, vs 8.48, p< 0.001). There were no significant differences of carcinoma-water CNR and carcinoma-perigastric fat CNR among VNCa, VNCv, and VNCe images. There was no difference in the determination of invasion or enlarged lymph nodes between normal CT and VNCa images. Conclusions: VNC arterial phase images may be a surrogate for conventional non-contrast CT images in gastric carcinoma evaluation.

• Preventive Nutrition and Food Science
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• 제19권3호
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• pp.145-155
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• 2014

Vascular dementia is characterized by white matter lesions involving the demyelination and activation of astrocytes and microglia. In a previous study, we showed that the supernatant of a laboratory-scale, hot water extract of ground whole wheat (TALE) attenuated white matter injury and astrocytic activation in a rat model of bilateral common carotid artery occlusion (BCCAO). In the present study, we made several modifications to the hot water extraction process to remove starch and enable large-scale production. We used wheat bran (WB), which contains less starch, instead of ground whole wheat. In addition, we removed starch granules with a decanter before hot water extraction. The final product, wheat bran extract (WBE), contained 2.42% arabinose, a surrogate marker of arabinoxylan, which is an active constituent of WBE. Supplementation of the rat model of BCCAO with WBE (400 mg/kg/day) for 33 days attenuated white matter injury, which was assessed by Luxol Fast Blue staining, in the corpus callosum (cc) and optic tract (opt) regions. Attenuation of white matter injury in the opt region was accompanied by improvement of the pupillary light reflex. Immunochemical staining revealed that supplementation with WBE reduced astrocytic activation in the cc and opt regions and reduced microglial activation in the opt region. These findings indicate that supplementation with WBE is effective at attenuating white matter injury accompanied by the inhibition of astrocytic and microglial activation. Therefore, extracts from WB, a cheap by-product of wheat milling, can be developed as a nutraceutical to prevent vascular dementia, a disease for which there is no approved pharmaceutical treatment.

• 생태와환경
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• 제36권3호통권104호
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• pp.336-343
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• 2003

본 연구에서는 남, 북한강 그리고 경안천으로부터 팔당호에 유입되는 유기물 및 영양물질농도의 연속성 예측을 위하여 단순로그선형모델과 다변수 로그선형모델이 함께 적용되었으며, F-검정과 결정계수에 기초하여 산정된 모델의 유의성과 유효성이 검토되었다. 검토 결과 단순로그선형모델은 산정된 9개의 모델 중 4개 모델만이 통계적으로 유의한 반면 다변수 로그선형모델의 경우에는 9개 모델 모두 통계적으로 유의한 것으로 나타났다. 모델의 유효성을 평가하는 결정계수 또한 다변수 로그선형모델의 경우에 더 높게 예측되었다. 즉 팔당호 유입 수질 농도의 연속성 예측과 경향성 파악을 위해서는 다변수 로그선형모델의 적용이 더 적합한 것으로 판단되었다. 다변수 로그선형모델 결과에 기초하여 팔당호 유입수질의 유량 의존성, 경향성, 계절성을 분석하였다. 분석결과 모든 지류에서 유량이 증가함에 따라 팔당호로 유입되는 BOD 농도는 감소하는 것으로 나타났으며, TN과 TP의 경우에는 BOD와 달리 유량이 증가하더라도 농포는 증가 또는 감소하지 않는 것으로 나타났다. 따라서 3개 지류 유역에서 유기물을 배출하는 주요 오염원은 점오염원인 반면 영양물질의 경우에는 점오염원 뿐만 아니라 비점오염원 역시 주요 배출원으로 작용하고 있는 것으로 판단된다. 경향성을 분석한 결과 1995턴부터2000년까지 모든 지류에서 팔당호로 유입되는 BOD농도의 증감 경향은 보이지 않았다. 남한강과 북한강으로부터 팔당호로 유입되는 TP의 경우 1988년부터 1994년까지 점진적인 증가 추세를 보이는 것으로 보고된 바 있으나 본 연구의 대상 기간인 1995년 이후에는 이러한 증가 추세는 관찰되지 않았으며, 반면 경안천으로부터 유입되는 TP농도는 연간 10%정도 증가하고 있는 것으로 예측되었다. 한편 북한강으로부터 팔당호로 유입되는 TN농도는 연간 10%정도 감소하는 반면 남한강과 경안천으로부터의 유입 농도는 각각 연간 3%와 7%씩 증가하는 경향을 보였다. 수질 농도의 계절별 변화 경향을 분석한 결과 팔당호로 유입되는 3개 지류의 유기물 및 영양물질 농도는 모두 계절성을 갖는 것으로 분석되었으며, 이 중 가장 작은 변동폭을 갖는 수질항목은 총 질소인 것으로 나타났다.

• 지질공학
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• 제15권4호
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• pp.381-390
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• 2005

일본의 5시는 상수원수로서 T하천을 이용하고 있으며, T하천의 수질은 비소와 보론 등의 폐광산 및 온천유래의 오염원에 의한 수질특성을 갖고 있다. 이 연구는 T하천의 수질특성 에 대하여 주성분분석 기법을 적용하여 분석하여 보다 용이한 하천관리 인자를 도출하고자 하였다. 이 연구에서 제시한 hexa-diagram을 이용하면, 각 수질측정 지점에서의 주요 오염원을 쉽게 파악할 수 있어 하천관리에 유효한 지표로 사용될 수 있다. 또한 주성분분석을 적용하여 하천수질의 특성을 조사한 결과, 1st, 2nd, 3rd 성분들의 각 고유값은 5.30, 2.78 및 1.47로 나타났으며, 1st, 2nd, 3rd 성분들의 기여도는 각각 $40.80\%,\;21.40\%\;및\;11.31\%$로 나타났다. 그러므로 이들 주성분을 이용하면, T하천의 수질특성을 보다 정확하고 신속하게 평가할 수 있다고 판단된다. 온천수의 주요성분으로 나타나는 염소이 온은 정수처리 공정에서 제거하기가 곤란한 비소와 보론의 관계에서 매우 높은 상관관계를 나타내어 염소이온농도를 이용한 하천관리는 비소와 보론 분석에 드는 시간적, 경제적인 부하를 저감하여 보다 신속한 처리가 가능하도록 하므로 하천수질관리의 효율을 개선할 것으로 기대한다.

• 한국물환경학회지
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• 제28권5호
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• pp.704-716
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• 2012

본 논문은 California의 South Lake Tahoe, 서울 뚝섬정수장 그리고 성남 복정정수장에서 2010년 2월에서 2012년 2월까지 수행된 파일럿 실험에 대한 분석결과를 기초로 작성되었다. 본 실험의 목적은 첫째, 한강을 원수로 하는 모래여과 처리수에 대한 오존 및 과산화수소(Peroxone)의 반응특성을 파악하고, 둘째는 AOP(고도산화공정)을 통해 맛 냄새 유발물질인 2-methylisoborneol(MIB)를 제거하기위한 경험적인 오존 및 과산화수소의 투입량을 결정하고자 하였다. 또한 셋째로, 처리공정이후 인체에 안전한 잔류오존농도로 감소시키기 위한 최적 투입량을 결정하고자 하였다. 본 실험은 계절의 기온변화에 따라 저수온 및 고수온의 조건하에서 실시간으로 수행되었다. 본 실험을 통해 오존의 분해속도는 온도와 pH에 영향을 받는 것으로 나타났으며, 이는 다른 연구결과와 일치한다. 원수로 모래여과수에 MIB를 40~50ng/L의 농도로 투입하였으며, 모든 경우에서 7ng/L 이하로 처리되었으며 대부분의 경우에서 검출(ND)되지 않았다. Peroxone은 MIB을 제거할 뿐아니라 오존을 단독으로 사용한 경우보다 오존+과산화수소 동시에 투입한 경우에 잔류오존농도가 더 낮았다. 저수온에서 상당량의 오존이 반응 및 분해를 통해 감소된다. 본 실험을 통해 "Pre-Conditioned" 과산화수소를 적용함으로써 초기 반응율을 향상시키고 잔류오존농도를 낮출 수 있었으며, 약품의 과투입 및 효율저하를 방지하는 과산화수소의 투입 위치 및 구성 그리고 투입방법을 제시하였다.

• 상하수도학회지
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• 제35권6호
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• pp.417-424
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• 2021

Algal bloom is an ongoing issue in the management of freshwater systems for drinking water supply, and the chlorophyll-a concentration is commonly used to represent the status of algal bloom. Thus, the prediction of chlorophyll-a concentration is essential for the proper management of water quality. However, the chlorophyll-a concentration is affected by various water quality and environmental factors, so the prediction of its concentration is not an easy task. In recent years, many advanced machine learning algorithms have increasingly been used for the development of surrogate models to prediction the chlorophyll-a concentration in freshwater systems such as rivers or reservoirs. This study used a light gradient boosting machine(LightGBM), a gradient boosting decision tree algorithm, to develop an ensemble machine learning model to predict chlorophyll-a concentration. The field water quality data observed at Daecheong Lake, obtained from the real-time water information system in Korea, were used for the development of the model. The data include temperature, pH, electric conductivity, dissolved oxygen, total organic carbon, total nitrogen, total phosphorus, and chlorophyll-a. First, a LightGBM model was developed to predict the chlorophyll-a concentration by using the other seven items as independent input variables. Second, the time-lagged values of all the input variables were added as input variables to understand the effect of time lag of input variables on model performance. The time lag (i) ranges from 1 to 50 days. The model performance was evaluated using three indices, root mean squared error-observation standard deviation ration (RSR), Nash-Sutcliffe coefficient of efficiency (NSE) and mean absolute error (MAE). The model showed the best performance by adding a dataset with a one-day time lag (i=1) where RSR, NSE, and MAE were 0.359, 0.871 and 1.510, respectively. The improvement of model performance was observed when a dataset with a time lag up of about 15 days (i=15) was added.

• Nuclear Engineering and Technology
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• 제44권7호
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• pp.767-772
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• 2012

In support of optimizing electrorefining technology for treating spent nuclear fuel, lithium drawdown has been investigated for separating actinides from molten salt electrolyte. Drawdown reaction selectivity is a major issue that requires investigation, since the goal is to remove actinides while leaving the fission products and other components in the salt. A series of lithium drawdown tests with surrogate fission product chlorides was run to obtain selectivity data with non-radioactive salts, develop a predictive model, and draw conclusions about the viability of using this process with actinide-loaded salt. Results of tests with CsCl, $LaCl_3$, $CeCl_3$, and $NdCl_3$ are reported here. Equilibrium was typically achieved in less than 10 hours of contact between lithium metal and molten salt under well-stirred conditions. Maintaining low oxygen and water impurity concentrations (<10 ppm) in the atmosphere was observed to be critical to minimize side reactions and maintain stable salt compositions. An equilibrium model has been formulated and fit to the experimental data. Good fits to the data were achieved. Based on analysis and results obtained to date, it is concluded that clean separation between minor actinides and lanthanides will be difficult to achieve using lithium drawdown.

• Mass Spectrometry Letters
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• 제11권1호
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• pp.10-14
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• 2020

Riboflavin is a water-soluble vitamin, which serves as a precursor to flavin mononucleotide and flavin adenine dinucleotide. This study aimed to develop a simple and rapid liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis for the quantification of riboflavin in the Beagle dog plasma. This method utilized simple protein precipitation with acetonitrile and ¹³C₄, ¹⁵N₂-riboflavin was used as an internal standard (IS). For chromatographic separation, a hydrophilic interaction liquid chromatography (HILIC) column was used with gradient elution. The mobile phase consisted of 0.1% (v/v) aqueous formic acid with 10 mM ammonium formate and acetonitrile with 0.1% (v/v) formic acid. Since riboflavin is an endogenous compound, 4% bovine serum albumin in phosphate buffered saline was used as a surrogate matrix to prepare the calibration curve. The quantification limit for riboflavin in the Beagle dog plasma was 5 ng/mL. The method was fully validated for its specificity, sensitivity, accuracy and precision, recovery, and stability according to the US FDA guidance. The developed LC-MS/MS method may be useful for the in vivo pharmacokinetic studies of riboflavin.

• 한국지하수토양환경학회:학술대회논문집
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• 한국지하수토양환경학회 2003년도 총회 및 춘계학술발표회
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• pp.196-200
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• 2003

A gas chromatography/mass spectrometric assay method was developed for the simultaneous determination of ethylene glycol monomethyl ether (EGME) and diethylene glycol monomethyl ether (DEGME) in spilled aviation fuels. Ethylene glycol monobutyl ether (EGBE) and ethylene glycol monoethyl ether (EGEE) were used as internal standard and surrogate, respectively. The sample preparation consists of back-extraction with 7 mL of methylene chloride after extraction of 50 mL of fuel with 2 mL of water. The extract was concentrated to dryness and dissolved with 100L of methanol and analyzed by CC-MS (SIM). The peaks had good chromatographic properties by using semi-polar column and the extraction of these compounds from fuel also gave high recoveries of 75 and 85 % with small variations for EGME and DEGME, respectively. Method detection limits were 1.3 ng/mL for EGME and 1.0 ng/mL for DEGME in spilled fuel. The method may be useful for fuel-type differentiation between kerosene and JP-8, which may originate from the storage tank.