• Title/Summary/Keyword: genetic safety

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북태평양 서식 연어의 계군 분석 (Genetic stock identification of Chum salmon in the Pacific Rim)

  • 윤문근;;정희제
    • 해양환경안전학회:학술대회논문집
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    • 해양환경안전학회 2017년도 공동학술발표회
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    • pp.82-82
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    • 2017
  • 우리나라로 회귀하는 연어는 북태평양에서 서식하는 연어 중 가장 넓은 영역에 분포하고 있으며, 경제적으로 매우 중요한 어류로서 이들의 자원관리를 위한 유전학적 연구가 활발히 진행되고 있다. 특히, 베링해와 북태평양 지역은 연어의 주 성장지로서 인접국가에서 산란된 연어들이 혼재되어 있어 국가별 연어의 계군을 구분할 수 있는 유전적 마커 개발 및 적용이 필요하고. 본 연구에서는 각 국가별 연어 집단에 대한 유전적 다양성, 차이점, 구조 및 인구통계학적 연구를 통한 유전학적 특징을 밝히고, 베링해와 북태평양 지역에서 성장하고 있는 연어의 국가별 계군의 분포와 이동 양상을 제시하려 한다.

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유전 알고리듬 및 AISC 표준 단면을 사용한 경량화 헬리데크 구조 최적설계 (Structural Design Optimization of Lightweight Offshore Helidecks Using a Genetic Algorithm and AISC Standard Sections)

  • 심기찬;김병모;김찬영;하승현
    • 한국전산구조공학회논문집
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    • 제32권6호
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    • pp.383-390
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    • 2019
  • 본 논문에서는 AISC 표준 단면을 설계 변수로 하는 캔틸레버 타입 헬리데크 모델의 유전 알고리즘 최적설계를 소개한다. AISC 표준 단면을 단면 형상별로 분류하고 단면적 순으로 정렬한 후 정수 단면 번호를 부여하여 설계 변수로 최적설계를 수행하였다. 이 과정을 통하여 이산화된 설계 변수를 가지는 최적설계 문제를 해결하기 위해 유전 알고리즘을 적용하였다. 또한, 제약조건으로 허용응력 및 허용응력비 검사 조건을 모두 고려하여 구조물의 구조 안정성을 고려한 설계를 수행하였다. 최적설계 과정중 매 반복계산 마다 수행되는 구조 해석 시간을 단축시키기 위해 선형 중첩법을 사용하였고, 이를 통해 구조해석 시간을 약 75% 감소시킬 수 있었다. 또한 헬리데크 최적설계의 경량 효과를 높이기 위해 부재 그룹 세분화를 하였고, 그 결과를 선행 연구 모델, 기존의 부재 그룹 모델과 비교하였다. 그 결과 선행연구 대비 약 30톤의 부재를 절감할 수 있었으며, 구조적으로도 보다 안전한 헬리데크 설계를 얻을 수 있었다.

Respiratory Reviews in Asthma 2013

  • Kim, Tae-Hyung
    • Tuberculosis and Respiratory Diseases
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    • 제76권3호
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    • pp.105-113
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    • 2014
  • From January 2012 up until March 2013, many articles with huge clinical importance in asthma were published based on large numbered clinical trials or meta-analysis. The main subjects of these studies were the new therapeutic plan based on the asthma phenotype or efficacy along with the safety issues regarding the current treatment guidelines. For efficacy and safety issues, inhaled corticosteroid tapering strategy or continued long-acting beta agonists use was the major concern. As new therapeutic trials, monoclonal antibodies or macrolide antibiotics based on inflammatory phenotypes have been under investigation, with promising preliminary results. There were other issues on the disease susceptibility or genetic background of asthma, particularly for the "severe asthma" phenotype. In the era of genome and pharmacogenetics, there have been extensive studies to identify susceptible candidate genes based on the results of genome wide association studies (GWAS). However, for severe asthma, which is where most of the mortality or medical costs develop, it is very unclear. Moreover, there have been some efforts to find important genetic information in order to predict the possible disease progression, but with few significant results up until now. In conclusion, there are new on-going aspects in the phenotypic classification of asthma and therapeutic strategy according to the phenotypic variations. With more pharmacogenomic information and clear identification of the "severe asthma" group even before disease progression from GWAS data, more adequate and individualized therapeutic strategy could be realized in the future.

특징기반 플라스틱 사출제품을 위한 유전자 알고리즘과 Support Vector Regression 기반의 하이브리드 비용 평가 모델 (A Genetic Algorithm and Support Vector Regression based Hybrid Cost Estimation Model for Feature-based Plastic Injection Products)

  • 서광규
    • 대한안전경영과학회지
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    • 제14권3호
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    • pp.269-276
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    • 2012
  • 플라스틱 사출 제품은 다양한 가전제품과 하이테크 제품에 널리 사용되고 있다. 그러나 현재의 치열한 경쟁적 비즈니스 환경에서 플라스틱 사출 제품 제조업자들은 고객을 만족시키면서 경쟁력을 얻기 위하여 다른 경쟁자들보다 먼저 새로운 제품을 시장에 출시하고 신제품의 개발기간을 줄이기 위한 노력을 할 여유가 부족하다. 따라서 무한경쟁의 시장에서 살아남기 위해서는 제조업자들은 시장 마켓 점유를 빠르게 올리는 것과 동시에 제품의 가격 경쟁력을 가져야 한다. 특징기반 모델의 구조는 현재 연구에서 3D 제작 도구로서 일반적으로 적용되고 있으며 신제품 개발 엔지니어들이 새로운 제품의 개념을 개발하는 데에도 널리 사용되고 있다. 본 연구에서는 특징기반 플라스틱 사출제품을 위한 유전자 알고리즘과 Support Vector Regression (SVR) 기반의 새로운 하이브리드 비용 평가 모델을 제안한다. 제안하는 하이브리드 모델은 기존의 플라스틱 사출제품의 비용평가절차와 계산을 위해 필요로 하는 변수들을 극적으로 간단하게 하고 줄일 수 있다. 사례연구에서는 제안하는 하이브리드 모델과 기존의 multilayer perceptron networks (MLP) 및 pure SVR과의 비교분석을 통하여 제안모델이 플라스틱 사출 제품의 개발단계에서의 비용평가문제를 해결하는데 효율성과 효과성이 있음을 입증한다.

전갈(全蝎) 약침액(藥鍼液)의 항돌연변이(抗突然變異) 및 항암(抗癌) 효과(效果) (The antimutagenic effect and genetic safety of Buthus martensi Karsch aqua-acupuncture solution (BMKAS))

  • 김소형;김갑성
    • Journal of Acupuncture Research
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    • 제17권3호
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    • pp.151-167
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    • 2000
  • Objective : The aim of this study is to determine the antimutagenic effect and genetic safety of Buthus martensi Karsch aqua-acupuncture solution(BMKAS) against various chemical carcinogens. Method : Ames(Salmonella typhimurium) test and Rec assay(Bacillus subtilis) were used as indicators for DNA damage and antimutagenesis. Furthermore, the levels of umu operon expression by measuring the ${\beta}$-galactosidase activity wete monitored with the SOS umu test using S. typhimurium 1535 containing plasmid pSK1002. And the host-mediated assay was used to investigate the mutagenicity and antimutagenicity of BMKAS inducing various chemical carcinogens after the activation with in vivo metabolic systems. Results : From the results, BMKAS did not atfect DNA of S. typhimurium and B. subtilis strains and showed no mutagenicity at the all concentrations of tested solution. Furthermore BMKAS dose-dependently protected the mutagenecity by AF-2, 2-AA and B[a]P. These phenomena was also similar to that after metabolic activation of BMKAS in in vivo system. Conclusion : These results suggested that BMKAS did not show the mutagenicity and protected the mutagenesis against various chemical carcinogens by four different methods used in this study.

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Nuclear reactor vessel water level prediction during severe accidents using deep neural networks

  • Koo, Young Do;An, Ye Ji;Kim, Chang-Hwoi;Na, Man Gyun
    • Nuclear Engineering and Technology
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    • 제51권3호
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    • pp.723-730
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    • 2019
  • Acquiring instrumentation signals generated from nuclear power plants (NPPs) is essential to maintain nuclear reactor integrity or to mitigate an abnormal state under normal operating conditions or severe accident circumstances. However, various safety-critical instrumentation signals from NPPs cannot be accurately measured on account of instrument degradation or failure under severe accident circumstances. Reactor vessel (RV) water level, which is an accident monitoring variable directly related to reactor cooling and prevention of core exposure, was predicted by applying a few signals to deep neural networks (DNNs) during severe accidents in NPPs. Signal data were obtained by simulating the postulated loss-of-coolant accidents at hot- and cold-legs, and steam generator tube rupture using modular accident analysis program code as actual NPP accidents rarely happen. To optimize the DNN model for RV water level prediction, a genetic algorithm was used to select the numbers of hidden layers and nodes. The proposed DNN model had a small root mean square error for RV water level prediction, and performed better than the cascaded fuzzy neural network model of the previous study. Consequently, the DNN model is considered to perform well enough to provide supporting information on the RV water level to operators.

식중독 원인 미생물 장기 보존 방법에 대한 고찰 (Review on Long-Term Preservation Methods for Microorganisms Causing Foodborne Diseases)

  • 김유진;김수민;김소연;윤요한
    • 한국식품위생안전성학회지
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    • 제37권3호
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    • pp.121-128
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    • 2022
  • The rapid development of biotechnology has increased the importance of microorganisms or their genetic information. Thus, the Nagoya Protocol on access to genetic resources and the fair and equitable sharing of benefits arising from their utilization was established, and countries are working to secure industrially and academically useful bioresources to deal with the agreement. In the case of Korea, because 67% of bioresources are imported from abroad, we are required to secure domestic bioresources as well. The number of isolated foodborne illness-causing microorganisms is predicted to invrease based on the incresing number of outbreaks of foodborne illness each year. Consequently, appropriate long-term preservation methods are necessary to secure the isolated microorganisms for the purpose of research and resourcification. Therefore, the long-term preservation methods for bacteria, fungi, viruses, and protozoa were investigated in this study, from domestic and international bioresource banks, and the functions of the cryoprotectants were reviewed and discussed. This review should be informative in the preservation of microorganisms and contribute to the development of biotechnology.

Evaluation of the Genetic Toxicity of Cyclopentane and Ammonium Nitrate - In vitro Mammalian Chromosomal Aberration Assay in Chinese Hamster Ovary Cells

  • Kim, Soo-Jin;Rim, Kyung-Taek;Kim, Jong-Kyu;Kim, Hyeon-Yeong;Yang, Jeong-Sun
    • Safety and Health at Work
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    • 제2권1호
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    • pp.17-25
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    • 2011
  • Objectives: In this study, the in vitro mammalian chromosomal aberration (CA) assay was conducted to gain additional information concerning the hazards associated with the use of cyclopentane and ammonium nitrate. While these two chemicals had already been tested by many methods, they had not been studied in the CA test. Methods: The assay was performed using the ovarian infantile cell (CHO-K1 cell), by the direct method (-S9) and by the metabolic activated method (+S9 mix). Results: Using the direct method, the 7 dosages in a 48 hour treatment group did not show that the frequency of CA is proportion to the dosage addition. The frequency of CA is not proportion to the dosage addition for a 6 hour treatment using the metabolic activated method. Conclusion: From these findings, it was decided that the 2 chemicals do not induce chromosomal aberrations under the tested conditions.