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        Centrifugal analyer를 이용한 혈청중 Complement C3 C4 측정법의 검토

        홍순동 ( Soon Dong Hong ),황의대 ( Eui Dae Whang ),김태운 ( Tae Woon Kim ),박알진 ( Il Jin Park ),박애자 ( Ae Ja Park ),정낙승 ( Nak Seung Jung ) 대한임상검사과학회 1984 대한임상검사과학회지(KJCLS) Vol.16 No.1

        The complement acts as a part of immune system to protect the individual from microbial infection by mediating a variety biologic reaction; opsonization, chemotaxis of leukocytes, increased vascular permeability, and cytolysis of target organisms. The complement system is consisted about 18 proteins, among them, The C3 and C4 are the highest concentrates in serum. These proteins are said to be in "classic pathway" or "alternative pathway" names. Activation of the complement proteins result in loss of their precursors, native activities and, or their accelerated clearence from p1asma. Progressing hypercatabolism without compensation by increased synthesis of complements, the determination of depressed levels of them may provide the evidence of the comp1ement system activation. For the evaluation of the patient with autoimmune disease such as autoimmune hemolytic anemia, SLE, rheumatoid arihritis and poststreptococcal glomerulonephritis, the determination of C3 and C4 concentration are both of the most informative method. Low concentration of C4 indicated that classic pathway activation has occurred, since C4 is extremely sensitive to C1 Depressed level of C3 suggests that rather intense activation of ether pathway. Decreased C3 associated with normal C4 levels indicate exclusive activation of alternative pathway. During the past decade, a number of invastigators have developed the techniques for measurement of complement. Since 1929, Michael Heidleberger has developed immunoprecipitation analysis of complement. And also Boyden et al (1947) demonstrated turbidimetric absorbance using the basis of antigen quantitation. The radial immunodiffusion (RID) technique has proved to be one of the most useful methods in clinical laboratories during the past few years, but it require rather long processes from 18 to 48 hrs in order to complete precipitation ring formation. So we attempt to introduce and establish more rapid completion of complement quantitation based on turbidimetric technique using a centrifugal analyzer.

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        Estimating the Price Elasticity of Peak Residential Demand using High Frequency Data

        Soon Dong Hong(홍순동),Chang Sik Kim(김창식) 한국계량경제학회 2018 JOURNAL OF ECONOMIC THEORY AND ECONOMETRICS Vol.29 No.1

        This paper studies the price elasticity of the peak electricity demand of the residential sector in Korea using high frequency data collected by AMR(Automatic Meter Reading) system. The main purpose of this paper is to estimate the price elasticity by allowing the nonlinear relationship between price and temperature in the short-run residential electricity demand curve. Specifically, we consider a Logistic Smooth Transition Regression model with functional coefficients to capture the temperature-dependent price elasticity of residential peak demand in Korea.We show conclusive evidence that the non-economic variables influence the price elasticity of peak residential demand in Korea. Our estimation results show that the price elasticity is dependent upon temperature, and peak demand becomes more sensitive when the weather is very hot or cold.

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        교차기온반응함수로 추정한 전력수요의 냉난방 수요 변화 추정

        박성근 ( Sung Keun Park ),홍순동 ( Soon Dong Hong ) 한국환경경제학회·한국자원경제학회(구 한국환경경제학회) 2018 자원·환경경제연구 Vol.27 No.2

        본 연구는 전력수요의 냉방 및 난방 수요를 측정하고 분석한다. 이를 위해 냉난방기온 효과를 추정하고 이를 Chang et al. (2014)의 전력수요함수 모형에 적용하여 전력수요를 기본 수요, 냉방수요 그리고 난방수요로 분해하였다. 1999년 1월부터 2016년 12월의 한국의 일반용과 주택용 전력수요를 분석한 결과, 난방수요의 증가율이 기본수요와 냉방수요의 증가율을 월등히 상회하였으며 특히 일반용에서 난방수요 증가가 두드러졌다. 평년기온으로 통제한 기온 보정된 난방수요는 실현된 난방수요보다 상대적으로 ‘더’ 증가하였고, 냉방수요는 반대로 기온 보정된 수요가 실현된 수요에 비해서 ‘덜’ 증가하였다. 본 논문은 전력수요 내의 냉방 및 난방 수요를 측정할 뿐 아니라 경제주체들의 전력수요 변화 패턴을 확인했다는 점에 의의가 있으며, 추정 결과들은 향후 전력수요예측과 에너지수요관리 정책 수립에 도움을 줄 수 있을 것으로 기대된다. This paper measures and analyzes cooling and heating demand in Korean electricity demand using time-varying temperature response functions and cooling and heating temperature effects. We fit the model to Korean data for residential and commercial sector over 1999:01~2016:12 and the estimation results show that the growth rate of heating demand is much higher than that of base and cooling demand, and especially the growth rate of heating demand in commercial sector is much higher. And we define the temperature-normalized demand conditioning that monthly temperatures are assumed as average monthly temperatures. The growth rate of heating demand in the estimated temperature-normalized demand is higher than that in the real demand. Our results are expected to be a base data for Winter Demand Management and short-term electricity demand forecasting.

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