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검색결과 390건 처리시간 0.029초

Comparative Molecular Similarity Index Analysis on 2-(indol-5-yl)thiazolederivatives as Xanthine Oxidase(XO)inhibitors

  • Nagarajan, Santhosh Kumar;Madhavan, Thirumurthy
    • 통합자연과학논문집
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    • 제9권3호
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    • pp.190-198
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    • 2016
  • Xanthine Oxidase is an enzyme, which oxidizes hypoxanthine to xanthine, and xanthine to uric acid. It is widely distributed throughout various organsincluding the liver, gut, lung, kidney, heart, brain and plasma. It is involved in gout pathogenesis. In this study, we have performed Comparative Molecular Field Analysis (CoMSIA) on a series of 2-(indol-5-yl) thiazole derivatives as xanthine oxidase (XO) inhibitors to identify the structural variations with their inhibitory activities. Ligand based CoMSIA models were generated based on atom-by-atom matching alignment. In atom-by-atom matching, the bioactive conformation of highly active molecule 11 was generated using systematic search. Compounds were aligned using the bioactive conformation and it is used for model generation. Different CoMSIA models were generated using different alignments and the best model yielded across-validated $q^2$ of 0.698 with five components and non-cross-validated correlation coefficient ($r^2$) of 0.992 with Fisher value as 236.431, and an estimated standard error of 0.068. The predictive ability of the best CoMSIA models was found to be $r{^2}_{pred}$ 0.653. The study revealed the important structural features required for the biological activity of the inhibitors and could provide useful for the designing of novel and potent drugs for the inhibition of Xanthine oxidase.

중국기업의 해외 인수 합병의 성과 결정요인 (The Performance Determinants of Chinese overseas M&A)

  • 유승훈
    • 경영과정보연구
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    • 제35권4호
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    • pp.79-98
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    • 2016
  • 본 연구는 중국의 해외 인수 합병 현황과 영향 요인에 대한 관련 이론과 기존의 연구를 살펴본 뒤 중국기업의 해외 인수 합병의 성과에 미치는 영향을 실증분석 하였다. 분석의 결과 과거성과, 인수지분율, 국유지분율, 문화적 차이는 성과에 정의 영향을 미치는 것으로 나타났으며 문화적 차이가 클수록 과거성과의 인수합병의 성과에 미치는 영향이 크게 나타나는 중재효과가 있음을 보이고 있다. 그러나 조직 연령, 수출비중, 잉여현금흐름은 유의한 영향을 미치지 않고 있다.

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New Acoustic Imaging Method Development for Localization of an Underground Acoustic Source Using a Passive SONAR System

  • Jarng, Soon-Suck
    • The Journal of the Acoustical Society of Korea
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    • 제18권2E호
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    • pp.10-17
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    • 1999
  • The aim of the work described in this paper is to develop a complex underground acoustic system which detects and localizes the origin of an underground hammering sound using an array of hydrophones located about 100m underground. Three different methods for the sound localization will be presented, a time-delay method, a power-attenuation method and a hybrid method. In the time-delay method, the cross correlation of the signals received from the array of sensors is used to calculate the time delays between those signals. In the power-attenuation method, the powers of the received signals provide a measure of the distances of the source from the sensors. In the hybrid method, both informations of time-delays and power-ratios are coupled together to produce better performance of position estimation. A new acoustic imaging technique has been developed for improving the hybrid method. This new acoustic imaging method shows the multi-dimensional distribution of the normalized cost function, so as to indicate the trend of the minimizing direction toward the source location. For each method the sound localization is carried out in three dimensions underground. The distance between the true and estimated origins of the source is 28m for a search area of radius 250m.

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소비자 의류 제품 지식과 외적 정보 탐색 활동에 관한 연구 (Consumer's Product Knowledge and Information Search related to Clothing)

  • 이지연;박재옥
    • 한국의류학회지
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    • 제21권3호
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    • pp.641-654
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    • 1997
  • The purpose of this study is to investigate the relationship between the consumer's product knowledge and his/her ability to obtain information when buying clothing. For the purpose of this study, questionnaires were given to 550 university students living in Seoul and the Kwgi area. The questionnaires were designed to measure the consumer's knowledge about examine his/her method of gathering information and to obtain some personal information Vsing a base of 407 students, data was analyzed through cross- tabulation, the chi square test, the t-test, the one-way ANOVA accompanied by a post-hoc analysis with the Tukey method, Pearson's correlation coefficient, and the Spearman rho. The results of this study were as follows. 1) There was a significant difference in the amount of iuormation seeking between groups with different knowledge related to clothing. 2) The use of information sources was found to be significantly related to the consumer's subjective and objective knowledge. 3) The consumer's level of knowledge about clothing was related to the store characteristics that he/she took into consideration. The difference between the groups came from the number of store characteristics taken into consideration, rather than from the contents. The group that had more knowledge related to clothing was more aware of store characteristics than the other level stoup. Price, quality, uniqueness, and variety of clothing were equally important to by groups. 4) A moderate relationship was found between the consumer's subjective and objective knowledge, and between his/her purchasing experience and objective knowledge. There was a relatively high relationship between purchasing experience and subjective knowledge.

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Detection of QTLs Influencing Panicle Length, Panicle Grain Number and Panicle Grain Sterility in Rice(Oryza sativa L.)

  • Ahamadi, Jafar;Fotokian, M.H.;Fabriki-Orang, S.
    • Journal of Crop Science and Biotechnology
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    • 제11권3호
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    • pp.163-170
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    • 2008
  • The detection, characterization and use of quantitative traits loci, QTL, have significant potential to improve the efficiency of selective breeding of species. Therefore, a population with 59 advanced backcross lines($BC_2F_5$), derived from a cross between IR64 and Tarome molaei, were studied in Tonekabon Rice Research Station of Iran in order to map QTLs for panicle length, number of grain per panicle, and panicle grain sterility in rice. The parental screening wtih 235 SSR markers in agarose and polyacrylamide gels revealed 114 markers with clear polymorphic bands. To search for QTLs associated with panicle length, number of grain per panicle, and panicle grain sterility, we constructed a genetic linkage map using 114 microsatellite markers. Positive and negative transgressive segregations were observed in $BC_2F_5$ lines for all traits. Using multiple interval mapping(MIM), a total of 20 putative QTLs were detected, of which eight were for panicle length, three for number of grains, and nine for panicle grain sterility. The maximum number of QTLs were mapped on chromosomes 1 and 2 with eight QTLs. These QTL markers could possible be utilized for marker-assisted selection.

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세부설계사항을 고려한 자동최적설계 프로그램 개발 (Development of Automated Optimum Design Program Considering the Design Details)

  • 장준호
    • 한국재난관리표준학회지
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    • 제4권1호
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    • pp.49-55
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    • 2011
  • 본 연구는 철근 콘크리트 구조물의 새로운 자동화 최적설계 알고리즘을 제시하였다. 기존의 주철근과 콘크리트 단면사이즈 등의 국한된 최적설계 범위를 벗어나 철근의 부착길이, 매입길이, 콘크리트 커버두께 등 세부설계사항까지 모두 고려한 실무에 적합한 효용성 높은 설계알고리즘을 제시함으로써 앞으로 실무분야에 많은 기여를 할 수 있다고 보여 진다.

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신경망 및 유전 알고리즘을 이용한 최적 사출 성형조건 탐색기법 (A Searching Method of Optima] Injection Molding Condition using Neural Network and Genetic Algorithm)

  • 백재용;김보현;이규봉
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2005년도 추계학술대회 논문집
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    • pp.946-949
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    • 2005
  • It is very a time-consuming and error-prone process to obtain the optimal injection condition, which can produce good injection molding products in some operational variation of facilities, from a seed injection condition. This study proposes a new approach to search the optimal injection molding condition using a neural network and a genetic algorithm. To estimate the defect type of unknown injection conditions, this study forces the neural network into learning iteratively from the injection molding conditions collected. Major two parameters of the injection molding condition - injection pressure and velocity are encoded in a binary value to apply to the genetic algorithm. The optimal injection condition is obtained through the selection, cross-over, and mutation process of the genetic algorithm. Finally, this study compares the optimal injection condition searched using the proposed approach. with the other ones obtained by heuristic algorithms and design of experiment technique. The comparison result shows the usability of the approach proposed.

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방사선을 이용한 연료전지막 국내 제조 기술 개발 현황 (Current R&D Status of Fuel Cell Membranes by Radiation in Korea)

  • 신준화;손준용;노영창;강태진;김동수;임돈순;이병헌;김재호
    • 방사선산업학회지
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    • 제6권4호
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    • pp.289-297
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    • 2012
  • Since Nafion is very expensive and shows the decreased fuel cell performance over $80^{\circ}C$ operating temperature, much work has been carried out in the search for cheaper membrane with high fuel cell performance. Radiation is known to be very useful for the preparation of the polymer electrolyte membranes since it can be effectively used for the introduction of ion conducting functional groups into the commercial film with high mechanical and chemical properties. Here, we summarize the our recent progress in the development of fuel cell membranes by utilizing radiation.

Time Series Classification of Cryptocurrency Price Trend Based on a Recurrent LSTM Neural Network

  • Kwon, Do-Hyung;Kim, Ju-Bong;Heo, Ju-Sung;Kim, Chan-Myung;Han, Youn-Hee
    • Journal of Information Processing Systems
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    • 제15권3호
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    • pp.694-706
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    • 2019
  • In this study, we applied the long short-term memory (LSTM) model to classify the cryptocurrency price time series. We collected historic cryptocurrency price time series data and preprocessed them in order to make them clean for use as train and target data. After such preprocessing, the price time series data were systematically encoded into the three-dimensional price tensor representing the past price changes of cryptocurrencies. We also presented our LSTM model structure as well as how to use such price tensor as input data of the LSTM model. In particular, a grid search-based k-fold cross-validation technique was applied to find the most suitable LSTM model parameters. Lastly, through the comparison of the f1-score values, our study showed that the LSTM model outperforms the gradient boosting model, a general machine learning model known to have relatively good prediction performance, for the time series classification of the cryptocurrency price trend. With the LSTM model, we got a performance improvement of about 7% compared to using the GB model.

Development of A System for Registration of Korean Terminology on The Electropedia

  • Moon, Bonghee
    • 한국컴퓨터정보학회논문지
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    • 제24권8호
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    • pp.105-111
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    • 2019
  • In this paper, I introduce the development of a system to register Korean standard technical terms which are corresponded with English electronical terminologies on the Electropedia of the International Electronical Committee(IEC). In 2016, this project was started with the permission of registration at the Technical Committee 1 of the $80^{th}$ IEC General Meeting in Frankfurt, Germany. The work was consisted of 3 parts, the 1st step was gathering Korean vocabularies and building a databse for the translation of English terms of International Electronical Vocabulary(IEV) into Korean terms, the 2nd step was to find correct or proper Korean term which is in accord with each English term of IEV on the Electropedia. In this step, members of Korean TC 1 worked for search proper Korean terms using developed computer programs and databases which were made of Korean electronical dictionaries. After selection of proper terms, they did the cross-checking work for Korean terms each other. The last step was to register all of these Korean terms on the Electropedia. As a result, 20,766 Korean electronical terms were registered on the Electropedia in 2017. In the future, it is needed that the definition of English technical terms are translated into Korean.