http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
골형성유도단백질의 첨가가 ${\Delta}^{12}-PGJ_2$가 유도하는 석회화에 미치는 영향
김원경,김경화,김종진,이영규,구영,Kim, Won-Kyung,Kim, Kyoung-Hwa,Kim, Jong-Jin,Lee, Young-Kyu,Ku, Young 대한치주과학회 2005 Journal of Periodontal & Implant Science Vol.35 No.2
Prostaglandin plays a significant role in the local control of bone metabolism associated with periodontal disease. ${\Delta}^{12}-PGJ_2$ is a natural $PGD_2$ metabolite that is formed in vivo in the presence of plasma. It is known for ${\Delta}^{12}-PGJ_2$ to stimulate calcification in osteoblastic cells. Bone morphogenetic protein(BMP) stimulated osteoblastic differentiation in various types of cells and greatly enhanced healing of bony defects. The purpose of this study was to evaluate the effect of rhEMP-2 on ${\Delta}^{12}-PGJ_2$ induced osteoblastic differentiation and mineralization in vitro. A human osteosarcoma cells line Saos-2 were cultured. In the test groups, 10-7M of ${\Delta}^{12}-PGJ_2$ or mixture of 10-8M of ${\Delta}^{12}-PGJ_2$ and 100ng/ml of rhBMP-2 or 100ng/ml of rhEMP-2 were added to culture media. After 1 day, 2 days and 4 days of culture period, the cell number was measured. Alkaline phosphatase activity was measure at 3 days. Reverse transcription polymerase chain reaction(RT-PCR) was performed to determine the expression of mRNA of bone matrix protein at 8 hours, 1 day and 7 days. The ability to produce mineralized nodules in rat osteoblasts(MC3T3-E1) was evaluated at 21 days. The results were as follows : 1. rhEMP-2 or mixture of rhBMP-2 and ${\Delta}^{12}-PGJ_2$ inhibited cell proliferation of human osteosarcoma cells. 2. rhEMP-2 or mixture of rhBMP-2 and ${\Delta}^{12}-PGJ_2$ stimulated alkaline phosphatase activity significantly higher than ${\Delta}^{12}-PGJ_2$ alone. 3. rhBMP-2 or mixture of rhEMP-2 and ${\Delta}^{12}-PGJ_2$ stimulated mineralization compared to ${\Delta}^{12}-PGJ_2$ alone. 4. mRNA of alkaline phosphatase, BMP-2, cbfa 1, Type I collagen were detected in the group treated with ${\Delta}^{12}-PGJ_2$/rhBMP-2, rhBMP-2 alone, ${\Delta}^{12}-PGJ_2$ alone. These results show that mixture of ${\Delta}^{12}-PGJ_2$ and rhBMP-2 causes more bone formation than ${\Delta}^{12}-PGJ_2$ alone while the bone formation effects of mixture of ${\Delta}^{12}-PGJ_2$ and rhBMP-2 are less than those of rhBMP-2 alone. Further researches would be necessary to clarify the interactions of these agents.
치주치료가 약물성 치은비대 환자의 치은두께에 미치는 효과에 관한 연구
김원경,백진,이영규,Kim, Won-Kyung,Baek, Jin,Lee, Young-Kyoo 대한치주과학회 2005 Journal of Periodontal & Implant Science Vol.35 No.4
The purpose of this study was to observe the effects of periodontal therapy, including nonsurgical periodontal therapy with azithromycin, surgical therapy, and maintenace therapy on the drug-induced gingival enlargement, by means of measuring gingival thickness. The test group of 18 patients with drug-induced gingival enlargement received scaling, root planing with azithromycin for 5 days, with or without surgical periodontal treatment. The control group of 18 patients who had not taken any medication, received scaling and root planing, with or without surgical periodontal treatment. Both groups received supportive periodontal therapy every 3 months for 2 years. The mean period of total treatment is 32 months in the test group and 31 months in the control group. The thickness of the buccal gingiva was measured using an ultrasonic device of $SDM^{(R)}$(Krupp Corp., Essen, Germany). The results revealed that the test $group(1.21{\pm}0.51mm)$ showed statistically thicker buccal gingiva than the control $group(1.01{\pm}0.3mm)$. In the test group, the buccal gingiva was thickest on 2nd molars and was thinnest on canines of both dental arches. In the control group, the buccal gingiva was thickest on central incisors in the maxilla and 2nd molars in the mandible, while the thinnest areas were on canines in the maxilla and 1st premolars in the mandible. It would be concluded that the periodontal treatment with azithromycin aids in decreasing the degree of the gingival enlargement but cannot prevent the recurrence completely.
알루미늄메쉬커튼과 2류체 포그시스템을 적용한 개방형축사의 에너지 절감시스템에 관한 연구
김원경,강민우,양지웅,이은숙,신홍건,박진규,최원식,Kim, Won-Kyung,Kang, Min-Woo,Yang, Ji-Woong,Lee, Eun-Suk,Shin, Hong-Gun,Park, Jin-Gyu,Choi, Won-Sik 한국산업융합학회 2020 한국산업융합학회 논문집 Vol.23 No.6
The control on temperature and humidity on the cow-house is essential to assure production efficiency and the control on disease of cows. Fog system and screen fence are typical methods to drop the temperature inside of cow-house during the summer season. This study focused on the change in temperature and humidity under the condition of application of those methods. The results indicate that the installation of atomizer and insulation curtain cause decrease in temperature and increase in humidity. However, Using both of methods at the same time doesn't make any additional meaningful effects on temperature and humidity.
하수처리장 적용을 위한Semi-카플란 수차가 장착된 마이크로수력발전 시스템
채규정(Kyu Jung Chae),김동수(Dong Soo Kim),천경호(Kyung Ho Cheon),김원경(Won Kyoung Kim),김정연(Jung Yeon Kim),이철형(Chul Hyung Lee),박완순(Wan Soon Park) 大韓環境工學會 2013 대한환경공학회지 Vol.35 No.5
소수력발전은 하수처리장 에너지 자립을 위한 효과적인 대안이다. 본 연구는 유량변동이 크고 유효낙차가 낮은 중소형하수처리장(기흥레스피아) 적용을 위해 피치조절형 세미카플란(semi-kaplan) 마이크로수력발전의 적용 타당성을 평가하였다. 가변피치 semi-kaplan 수차는 유량조절을 위한 가이드베인은 생략하고 피치조절형 런너를 장착하여 기계적 결함은 줄이면서 유량변동이 큰 처리장에 특화된 기술이다. 마이크로수력발전 시스템은 설계조건(유량 0.35 m3/s, 유효낙차 4.7 m)에서 90.2%의 수차효율 달성이 가능하였고 발전용량은 13.4 kW로 산정되었다. 설비가동률 74%로 가동 시 연간 약 86.8 MWh 에너지 생산을 통해 2.1%의 에너지 자립이 가능하고 이는 연간 49톤의 CO₂ 감축효과와 맞먹는다. 경제성 평가결과 초기 건설공사비가 200,000,000원 이하인 경우에는 내부수익률은 6.1%, 순현가는 15,539,000원, 편익-비용률은 1.08, 투자회수년은 15.5년으로 경제성이 충분한 것으로 나타났다. Small scale hydropower is one of most attractive and cost-effective energy technologies for installation within sewage treatment plants. This study was conducted to evaluate the potential of a semi-kaplan micro-hydropower (MHP) system for application to sewage treatment plants with high flow fluctuations and a low head. The semi-kaplan MHP is equipped with an adjustable runner blade, and is without a guide vane, so as to reduce the incidence of mechanical problems. A MHP rating 13.4 kWp with a semi-kaplan turbine has been considered for Kiheung Respia sewage treatment plant, and this installation is estimated to generate 86.8 MWh of electricity annually, which is enough to supply electricity to over 25 households, and equivalent to an annual reduction of 49 ton CO₂. The semi-kaplan turbine showed a 90.2% energy conversion efficiency at the design flow rate of 0.35 m3/s and net head of 4.7 m, and was adaptable to a wide range of flow fluctuations. Through the MHP operation, approximately 2.1% of total electricity demand of Kiheung Respia sewage treatment plant will be achievable. Based on financial analysis, an exploiting MHP is considered economically acceptable with an internal rate of return of 6.1%, net present value of 15,539,000 Korean Won, benefit- cost ratio of 1.08, and payback year of 15.5, respectively, if initial investment cost is 200,000,000 Korean Won.
실시간 토양 판별을 위한 근적외선 분광기술과 인공신경망 기술의 적용
김원경(Won-Kyung Kim),홍석주(Suk-Ju Hong),최금실(Jinshi Cui),김학진(Hak-Jin Kim),박종민(Jongmin Park),양승환(Seung-Hwan Yang),김기석(Ghiseok Kim) 한국비파괴검사학회 2017 한국비파괴검사학회지 Vol.37 No.3
본 연구에서는 농업용 노외기계가 노지 작업 중에 실시간으로 토양의 유형을 판별할 수 있는 기술을 개발하기 위해서 근적외선 분광기술과 인공신경망 분석기술을 적용하였다. 이를 위해, 노지의 상태에 따라 토양과 검출기 사이의 측정거리가 변화되는 현상을 보정하고 측정 중 유입될 수 있는 잡음 성분들을 제거할 수 있는 전처리기술을 구현하였고 측정된 반사광의 스펙트럼 정보를 이용하여 토양의 유형을 판별할 수 있는 통계학적 모델과 인공신경망 분석모델을 개발하여 그 성능을 평가하였다. 본 연구를 통해 개발된 실시간 토양 유형 판별기술은 ICT 기반 지능형 농작업 기계의 주요한 요소기술로서 적용될 수 있을 것이며 향후에는 토양 유형의 판별뿐만 아니라 토양 성분을 예측하고 분석할 수 있는 비파괴검사 기술의 원천기술로서 활용될 수 있으리라 판단된다. In this study, we employed both near-infrared spectroscopy and artificial neural network analysis methods to develop a real-time discrimination technique for soil categories for use in agricultural machinery. For this purpose, we implemented the preprocessing methods that could eliminate noise components during measurement. In addition, a distance correction method was devised to calibrate the spectra difference using the change in measuring distance between the soil surface and detector end. We developed the PLS-DA model and artificial neural network model for the discrimination of soil categories using the preprocessed spectra. Based on the results, we expect that the developed discrimination method for soil categories could be used as a practical nondestructive evaluation technique for soil categories as well as a key element technique of ICT-based agricultural machinery.