http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
관류 기니픽 심장에서 Mg<sup>2+</sup> 유리에 미치는 α<sup>1</sup>-adrenoceptor 자극효과
황성철,김상진,강형섭,이승옥,강창원,권오덕,김진상,Hwang, Sung-chul,Kim, Sang-jin,Kang, Hyung-sub,Lee, Seung-ok,Kang, Chang-won,Kwon, Oh-deog,Kim, Jin-sang 대한수의학회 1996 大韓獸醫學會誌 Vol.36 No.2
Recently in spite of the interest on the regulation of intracellular $Mg^{2+}$ by neurotransmitters or drugs, the magnesium ion($Mg^{2+}$) regulation by ${\alpha}_1$-adrenoceptor stimulation has not been studied in the heart yet. To elucidate the regulation of ${\alpha}_1$-adrenoceptor stimulation-induced $Mg^{2+}$ release and the effects of ${\alpha}_1$-adrenoceptor stimulation on pathophysiological conditions, in this study we have evaluated the effects of phenylephrine, PMA, $H_7$. staurosporine, verapamil and lidocaine on $Mg^{2+}$ release in perfused guinea pig heart. During preperfusion exogenous $Mg^{2+}$ was added to the medium to give 1.2mM 15min before starting to addition of drugs, and then the infusion of exogenous $Mg^{2+}$ was stopped. $Mg^{2+}$ in the perfusate leaving the heart was measured by atomic absorption spectrophotometry. $Mg^{2+}$ free solution produced an increase in heart rate and phenylephrine elicited $Mg^{2+}$ release from the heart. $Mg^{2+}$ release by phenylephrine was abolished by combined treatment with prazosin. By contrast, cardiac $Mg^{2+}$ uptake induced by a protein kinase C(PKC) activator, PMA was abolished by a selective PKC inhibitor, staurosporine. And the phenylephrine-induced $Mg^{2+}$ release was not affected by the PKC inhibitor, $H_7$. When verapamil or lidocaine was added to perfusing solution, $Mg^{2+}$ release was potentiated by phenylephrine from perfused guinea pig heart. These results suggest that ${\alpha}_1$-adrenoceptor stimulation caused $Mg^{2+}$ release and that PKC is not involved in ${\alpha}_1$-adrenoceptor mediated $Mg^{2+}$ release from perfused guinea pig heart. Under pathophysiological conditions, the $Mg^{2+}$ alteration by ${\alpha}_1$-adrenoceptor stimulation is considerable.
선택적 촉매 환원법 재료로서 나노 사이즈 MnO<sub>x</sub>-CeO<sub>2</sub>/TiO<sub>2</sub> 촉매에 대한 미세 구조적 특성과 촉매활성 평가
황성철,조승현,신민철,차진선,이인원,박현,이희수,Hwang, Sungchul,Jo, Seung-hyeon,Shin, Min-Chul,Cha, Jinseon,Lee, Inwon,Park, Hyun,Lee, Heesoo 한국결정성장학회 2016 韓國結晶成長學會誌 Vol.26 No.3
저온용 SCR 촉매인 $MnO_x$의 촉매 활성을 높이기 위해 $TiO_2$ 지지체와 함께 조촉매로서 $CeO_2$을 사용하였고, 제조된 나노 사이즈의 촉매 특성과 함께 질소산화물 제거 효율에 대해 고찰하였다. $MnO_x-CeO_2/TiO_2$ 촉매 내에서 $CeO_2$ 거동을 확인하기 위해 단일 조성의 $CeO_2$와의 차이점을 미세구조적으로 비교 분석하였다. $MnO_x-CeO_2/TiO_2$ 촉매가 졸겔법을 통해 제조되었으며 낮은 열적 특성으로 인해 평균 $285{\mu}m$ 정도의 큰 입도를 가진 단일 $CeO_2$와는 달리 Ti 지지체와 함께 합성된 촉매의 경우 130 nm 정도로 줄어들었음을 확인하였다. 투과 전자 현경을 이용한 EDS mapping를 통해 Ce-Ti의 강한 interaction이 nano-sized powder 제조의 원인인 것으로 확인하였다. 조촉매 첨가로 인해 $MnO_x/TiO_2$ 촉매에 비해 저온영역에서 20 % 이상의 효율 향상이 있었으며 이는 3성분계 촉매 내에서 $CeO_2$가 나노 사이즈로 잘 분산됨에 따라 촉매 반응에 필요한 산소이온의 교환이 활발히 일어날 수 있었기 때문이다. $CeO_2$ is used as a co-catalyst with $TiO_2$ to improve the catalytic activity of $MnO_x$ and characterization of nano-sized powder is identified with de-NOx efficiency. A comparison between $MnO_x-CeO_2/TiO_2$ and single $CeO_2$ was conducted in terms of microstructural analysis to observe the behavior of $CeO_2$ in the ternary catalyst. The $MnO_x-CeO_2/TiO_2$ catalyst was synthesized by sol-gel method and the average particle size of the single $CeO_2$ is about $285{\mu}m$ due to the low thermal stability, whereas the particle size $MnO_x-CeO_2/TiO_2$ is about 130 nm. The strong interaction between Ce and Ti was identified through the EDS mapping by transmission electron microscopy (TEM). The improvement about 20 % of $de-NO_x$ efficiency is observed in the low-temperature ($150^{\circ}C{\sim}250^{\circ}C$) and vigorous oxygen exchange by well-dispersed $CeO_2$ is the reason of catalytic activity improvement.
신경 회로망을 이용한 Wafer final polishing의 가공 결과 예측
황성철(Sung-Chul Hwang),차지완(Ji-Wan Cha),이은상(Eun-Sang Lee) 한국생산제조학회 2008 한국생산제조시스템학회 학술발표대회 논문집 Vol.2008 No.5
Polishing is one of the important processing having influence on the surface roughness in manufacturing of Si-wafers. The surface roughness in wafer polishing is mainly affected by the many process parameters. A feed forward neural network model is developed exploiting experimental measurements from the surface in wafer final polishing. The input variables of Neural Network model are process parameters. The output variables are measured surface roughness. The neural network model is trained and performed by MATLAB. The model can be used for the analysis and prediction of the complex relationship. From this, it is clearly seen that a good agreement is observed between the predicted values and experimental measurement values.