http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
장수풍뎅이(Allomyrina dichotoma) 렉틴의 면역기능 증강효과
전경희,정미연,최수정,이종욱,박원학,조세훈,이승호,정시련,Jeune, Kyung-Hee,Jung, Mi-Yeun,Choi, Soo-Jeong,Lee, Jong-Wook,Park, Won-Hark,Cho, Se-Hoon,Lee, Seung-Ho,Chung, See-Ryun 한국생약학회 2001 생약학회지 Vol.32 No.1
A lectin was purified from Allomyrina dichotoma (ADL) by physiological saline extraction, ammonium sulfate fractionation, anion exchange column chromatography on DEAE Sephadex A-50 and gel filtration column chromatography on Sephadex G-200. Several biochemical properties of ADL were characterized as follows: ADL from gel filtration column chromatography showed single band on SDS-PAGE. ADL agglutinated the erythrocytes of rabbit and human A, B, O, AB. Agglutinability was relatively stable at basic pH, and was stable at temperature below $40^{\circ}C$. Agglutinability was not affected by metal ions and EDTA. This lectin was proved to be a glycoprotein which contains 0.47% of sugars. The molecular weight of ADL was estimated to be 97,000 dalton by SDS-PAGE. By amino acid analysis, ADL exhibited high amounts of aspartic acid. The lectin's immunomodulating effect was measured as cytokine production. The productions of 5 cytokines $(IL-1{\alpha},\;IL-2,\;IL-6,\;IFN{\gamma}\;and\;TNF{\alpha})$ from peripheral blood mononuclear cells were measured by ELISA. The lectin induced the highest secretion of IL-2 at 8 hr, $TNF{\alpha}$ at 4 hr, and $IFN{\gamma}$ at 24hr, respectively. These results suggest that ADL can elicit the production of detectable cytokines from PBMC.
계절 ARIMA 모형을 이용한 104주 주간 최대 전력수요예측
김시연(Si-Yeon Kim),정현우(Hyun-Woo Jung),박정도(Jeong-Do Park),백승묵(Seung-Mook Baek),김우선(Woo-Seon Kim),전경희(Kyung-Hee Chon),송경빈(Kyung-Bin Song) 한국조명·전기설비학회 2014 조명·전기설비학회논문지 Vol.28 No.1
Accurate midterm load forecasting is essential to preventive maintenance programs and reliable demand supply programs. This paper describes a midterm load forecasting method using autoregressive integrated moving average (ARIMA) model which has been widely used in time series forecasting due to its accuracy and predictability. The various ARIMA models are examined in order to find the optimal model having minimum error of the midterm load forecasting. The proposed method is applied to forecast 104-week load pattern using the historical data in Korea. The effectiveness of the proposed method is evaluated by forecasting 104-week load from 2011 to 2012 by using historical data from 2002 to 2010.