• Title/Summary/Keyword: 독성 예측

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Prediction and Annotation of ABC Transporter Genes from Magnaporthe oryzae Genome Sequence (벼도열병균 게놈서열로부터 ABC transporter 유전자군의 예측 및 특성 분석)

  • Kim, Yong-Nam;Kim, Jin-Soo;Kim, Su-Young;Kim, Jeong-Hwan;Lee, Jong-Hwan;Choi, Woo-Bong
    • Journal of Life Science
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    • v.20 no.2
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    • pp.176-182
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    • 2010
  • Magnaporthe oryzae is destructive plant-pathogenic fungus and causes rice blast. The pathogen uses several mechanisms to circumvent the inhibitory actions of fungicides. ATP-binding cassette (ABC) transporters are known to provide protection against toxic compounds in the environment. PC facilitated bioinformatic analysis, particularly with respect to accessing and extracting database information and domain identification. We predicted ABC transporter genes from the M. oryzae genome sequence with computation and bioinformatics tools. A total of thirty three genes were predicted to encode ABC transporters. Three of thirty three putative genes corresponded to three known ABC transporter genes (ABC1, ABC2 and ABC3). Copy numbers of the ABC transporter genes were proven by Southern blot analysis, which revealed that twenty genes tested exist as a single copy. We amplified the DNA complementary to RNA corresponding to eleven of these by reverse transcriptase polymerase chain reaction.

Source term estimation using least squares method in a radiological emergency (원자력 비상시 최소자승법을 이용한 선원항의 추정)

  • Jeong, Hyo-Joon;Kim, Eun-Han;Suh, Kyung-Suk;Hwang, Won-Tae;Han, Moon-Hee
    • Journal of Radiation Protection and Research
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    • v.29 no.3
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    • pp.157-163
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    • 2004
  • Atmospheric dispersion modelling has been widely used to predict the fate and transport of radioactive or toxic materials released from nuclear facilities which is an unlikely accidental event. To improve the forecasting performance of the dispersion model, it is required that source rate and dispersion characteristics must be defined appropriately. Generally, source term of the radioactive materials is much uncertain at the early phase of an accidental event. In this study, we computed the source rate with the experimental field data monitored at the Yeoung-Kwang nuclear site and obtained the optimal source rate to minimize the errors between the measured concentrations and the computed ones by the Gaussian plume model. Computed source term showed a good result within 24% of the artificially released source rate.

Analysis of the Correlation between Compaction Characteristics and Spectral Information of Reactive Materials for Absorption of Oil Contaminant (유류 오염물 흡수가 가능한 반응재료의 다짐 특성-분광정보 상관관계 분석)

  • Gigwon Hong
    • Journal of the Society of Disaster Information
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    • v.19 no.4
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    • pp.950-957
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    • 2023
  • Purpose: The response technology is needed to prevent the spill of highly toxic oil contaminants in advance. Therefore, this paper described the results of an experimental study to predict the engineering properties of the developed reactive material. Method: Compaction tests and spectral information acquisition experiments were conducted on the reactive materials, and the results were evaluated. In addition, the correlation between spectral information and maximum dry unit weight was analyzed to evaluate the possibility of predicting the engineering properties for reactive materials. Result: The compaction test results showed that the maximum dry unit weight was in the range of approximately 9kN/m3 to 10kN/m3. The spectral information confirmed that the maximum reflectance decreased as the polynorbornene decreased. Conclusion: It was confirmed that the maximum dry unit weight of the reactive material for absorbing oil contaminants can be predicted using the maximum reflectance according to the component ratio of the reactive material.

Study on non-nickel-based sealing of anodic porous aluminum oxide by using NaAlO2 (알루민산 염을 포함한 다공성 알루미나의 무니켈 봉공처리제에 관한 연구)

  • Kim, Mun-Su;Yu, Hyeon-Seok;Choe, Jin-Seop
    • Proceedings of the Korean Institute of Surface Engineering Conference
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    • 2016.11a
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    • pp.190.1-190.1
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    • 2016
  • 봉공처리법은 다공성 알루미나를 제조 후에 내마모성의 증가, 침지된 염료의 봉인 등을 필요로 하여 이용하는 후처리 공정 중 하나이다. 상업적으로는 물 봉공처리나 니켈-아세트산 용액을 이용한 봉공처리를 주로 이용하지만 고온을 필요로 하거나 인체에 유독한 용액을 사용, 혹은 추가적인 봉공처리를 해주어야 한다는 단점들을 가지고 있다. 이에 본 연구에서는 독성이 적고 상온에서도 다공성 알루미나와 쉽게 반응할 수 있는 알루미늄 음이온 용액을 봉공처리에 이용하였다. 알루미늄 음이온 용액을 이용한 봉공처리는 알루미늄의 양극 산화를 진행한 이후에 알루미늄 음이온을 포함한 봉공처리제를 제조 후, 침지 처리하는 방식으로 봉공처리하였다. 봉공처리제의 pH 변화, 온도 변화, 침지 시간 등의 변수 요소에 따라서 최적화를 진행하였으며, 이 용액으로 봉공처리가 가능한지 주사 전자 현미경 분석을 통해 평가하였다. 이후 최적화된 조건과 기존에 상업적으로 사용하던 봉공처리법을 거친 후에 경도, 부식전위 검사, 내화학성 검사를 통해 성능의 변화를 확인하였으며 광전자 분광기를 통해 성분과 메카니즘을 예측하였다.

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Feature of the Change of the Arsenic Ionic State and Prediction of Toxicity in Aqueous Environment depending on Temperature Condition (온도 조건에 따른 비소 이온의 수중 상태 변화 특성 및 독성 예측)

  • Won, Yu-Ra;Kim, Dong-Su
    • Journal of Korean Society on Water Environment
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    • v.29 no.2
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    • pp.176-183
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    • 2013
  • The variation of the stable region of arsenic compounds in aqueous environment with temperature has been investigated by constructing the Pourbaix diagram of arsenic at different temperatures. The standard potential corresponding to the boundary between arsenic compounds with different charge valence was estimated to be decreased with temperature, which means the stability of arsenic compound with +5 charge valence increases. The distribution diagram of the most highly oxidized arsenic compound showed that arsenic acid is formed at higher pH and arsenate is generated at lower pH as temperature rises. The aquatic toxicity due to arsenic compounds was considered to be decreased with temperature in the neutral pH condition based on the $LD_T$ value defined in this study.

Primary Screening of QSAR Descriptors to Determine Biological Activities of Stilbene Derivatives (스틸벤유도체의 생물활성도를 예측하기 위한 QSAR 분자표현자의 검색방법에 관한 연구)

  • 김재현;고동수;엄애선
    • Environmental Analysis Health and Toxicology
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    • v.16 no.3
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    • pp.115-120
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    • 2001
  • The predictive screening of various molecular descriptors for predicting cyclooxygenase inhibitor, lipooxygenase inhibitor, leucotriene synthesis inhibitor, leucotriene antagonist activities of Stilbene moieties have been investigated for the application of quantitative structure-activity relationships (QSAR). The biological activities for 36 compounds were computed by the PASS program and molecular descriptors are cited from literatures or calculated, to investigate feasibility of screening relevant descriptors and of their applications among biological endpoints. Fairly good correlations varying from 0.7828 to 0.9032 were obtained using 12 descriptors with 29 Stilbene derivatives and 5 diazo-compounds. Our studies reveal that LogKow, electron density(X), electron density (Y),4th-order valence connectivity and water solubility can be usefully employed to predict biological activities of stilbene derivatives with simple regression models.

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Estimated Environmental Distribution of Benzoic Acid using EQC Model (EQC모델을 이용한 Benzoic acid의 환경분포 예측)

  • 박광식
    • Environmental Analysis Health and Toxicology
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    • v.18 no.1
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    • pp.63-67
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    • 2003
  • Benzoic acid is produced about 700 tons/year in Korea as of 1998 survey. Most is used as a stabilizer in the processes of synthesis of pharmaceuticals and dyes. It is also used for ingradient of paint, disinfections, and antifungals. Due to the antioxidant activity of benzoic acid, the chemical is also used as food preservatives. Although the chemical is widely used in Korea, exposure levels in air, water, soil or sediment have not been monitored or estimated so that risk evaluation of benzoic acid was not possible. In this study, distribution of the chemical among environmental media was estimated using EQC model based on the chemical-physical properties. In Level I and II of which the chemical are hypothesized in equilibrium and no transfer through the media, more than 93% of benzoic acid are estimated to be distributed in water. However, in Level III of which non-equilibrium and intermedia transfer could be occurred, the chemical is estimated to distributed to soil, 64% and water,35% as of total amount.

고효율화를 위한 박막 실리콘 태양전지의 최근 기술동향

  • Lee, Seong-Eun;An, Se-Won;Lee, Heon-Min
    • Proceedings of the Korean Vacuum Society Conference
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    • 2010.08a
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    • pp.26-26
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    • 2010
  • 지구온난화와 화석연료의 고갈이 심각해지면서 청정에너지원으로서 신재생에너지에 대한 관심들이 더욱 고조되고 있다. 전세계적으로 그린에너지 정책도 다양해지고 인류의 미래를 대비해야한다는 목소리도 높아지고 있다. 하지만 무한한 에너지 소스인 태양광을 활용하기 위한 태양광 발전 시스템은 아직 발전비용이 높아 각국 정부의 지원정책에 많이 의존하고 있는 실정이다. 머지않은 장래에 grid parity를 달성함과 동시에 폭발적인 시장 성장이 예측되고 있지만 아직까지는 현수준의 상용전력 단가에 이르기에는 가야할 길이 멀어 보인다. 이러한 가운데 최근에 단순한 제조공정과 낮은 비용을 기반으로하는 박막 태양전지들이 주목받고 있다. 특히 박막태양전지 가운데서도 반도체 공정에서 많은 연구가 진행되었고 자연에 풍부하면서도 비독성인 실리콘을 기반으로 하는 태양전지가 미래의 핵심 태양전지로 성장할 것으로 기대된다. 따라서 본 세미나에서는 박막 실리콘 태양전지의 고효율화 전략과 최근의 기술개발 동향에 대해서 살펴보고 박막 실리콘 태양전지가 나아 갈 길을 모색해보고자 한다.

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Application of Poisoning aBIG score for Prediction of Fatal Severity in Acute Adult Intoxications (성인 중증 중독환자 예측을 위한 새로운 지표 개발: aBIG score for poisoning)

  • Choe, Michael Sung Pil;Ahn, Jae Yun;Kang, In Gu;Lee, Mi Jin
    • Journal of The Korean Society of Clinical Toxicology
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    • v.12 no.1
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    • pp.14-21
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    • 2014
  • Purpose: The objective of this study was to develop a new scoring tool that is comprehensively applicable and predicts fatality within 24 h of intoxication. Methods: This was a cohort study conducted in two emergency medical centers from 2011 to 2012. We identified factors associated with severe/fatality. Through a discriminant analysis, we devised the aBIG (age, Base deficit, Infection, and Glasgow coma scale) score. To compare the ability of aBIG to predict intoxication severity with that of previous scoring systems such as APACHE II, MODS, SAPS IIe, and SOFA, we determined the receiver operating characteristic curves of each variable in predicting severe-to-fatal toxicity. Results: Compared with the mild/moderate toxicity group (n=211), the severe/fatal group (n=143) had higher incidences of metabolic acidosis, infection, serious mental change, QTc prolongation and hepato-renal failure. Age, base deficit, infection-WBC count, and Glasgow Coma Scale were independently associated with severe/fatal poisoning. These variables were combined into the poisoning "aBIG" score [$0.28{\times}$Age group+$0.38{\times}WBC$ count/$10^3+0.52{\times}$Base deficit+$0.64{\times}$(15-GCS)], which were each calculated to have an area under the curve of 0.904 (95% confidence interval: 0.868-0.933). The aBIG poisoning score had an equivalent level of severity predictability as APACHE II and a superior than MODS, SOFA, and SAPS IIe. Conclusion: We developed a simplified scoring system using the four variables of age, base deficit, infected leukocytosis, and GCS. The poisoning aBIG score was a simple method that could be performed rapidly on admission to evaluate severity of illness and predict fatal severity in patients with acute intoxications.

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Prognostic Predictors of Outcome in Patients with Snake Bite, Based on Initial Findings in the Emergency Department (독사 교상 환자의 응급실 초기 검사에 따른 예후 예측 인자)

  • Baek, In Yeop;Kim, Tae Kwon;Jin, Sang Chan;Cho, Woo Ik
    • Journal of The Korean Society of Clinical Toxicology
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    • v.15 no.1
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    • pp.1-10
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    • 2017
  • Purpose: This study was conducted to identify predictors of serious poisoning in patients with snake bite based on initial findings. Methods: We conducted a retrospective study of patients with snake bite who were treated at the emergency department between January 2010 and December 2016. The patients were divided into two groups according to the severity of symptoms based on the traditional snakebite severity grading scale. The mild poisoning group (MP) was classified as those who had a grade I snakebite severity during the hospital stay, and the severe poisoning group (SP) was classified as patients who had grade I at the time of admission, but progressed to grade II-IV during hospitalization. Initial clinical manifestations and laboratory findings of the two groups were compared. Results: Bite to hospital time intervals of SP were longer than those of MP (p=0.034), and the local effect score (LES) was higher in SP (p<0.001). Laboratory analyses revealed that creatine phosphokinase (p=0.044), creatine phosphokinase MB isoenzyme (CK-MB, p=0.011) and serum amylase (p=0.008) were significantly higher in SP. LES, CK-MB and serum amylase were significant prognostic predictors as indicated by univariate logistic regression analysis. Multivariate analysis revealed the following two significant predictors: LES (odds ratio=3.983, p<0.001) and serum amylase (odds ratio=1.020, p=0.017). Conclusion: In managing cases of snake bites, clinical manifestations and laboratory findings must be carefully evaluated. LES and serum amylase are predictive factors for severe poisoning, which is especially important to rapid determination of the intensive care of the patient.