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돼지 위저부 평활근의 비아드레날린 비콜린성 신경전달물질에 관한 연구
김태완,나준호,이장헌,양일석,Kim, Tae-wan,Na, Jun-ho,Lee, Jang-hern,Yang, Il-suk 대한수의학회 1997 大韓獸醫學會誌 Vol.37 No.1
The relaxation of gastric fundus smooth muscles is the primary physiological event which induces the receptive relaxation of monogastric animals. L-arginine/Nitric oxide(L-arg/NO) system is known to mediate the inhibitory non-adrenergic non-cholinergic(NANC) neurotransmission in various tissues including gastrointestinal smooth muscles. The longitudinal smooth muscles of porcine gastric fundus showed fast relaxation during electrical field stimulation(EFS) and rebound contraction after EFS in NANC condition. So, the purpose of present study was elucidation of the neurotrasmitters related to the NANC relaxation and explanation of the relation between NANC relaxation and L-arg/NO system. The longitdinal smooth muscles of porcine gastric fundus were hung in the organ bath and under the presence of guanethidine($5{\times}10^{-5}M$), precontraction was induced by carbachol($1{\times}10^{-6}M$). The muscle responses to EFS and drugs were isomerically recorded. The rusults were summarized as follows. 1. The longtudinal muscles of porcine gastric fundus showed frequency-dependent relaxation and rebound contraction to electrical field stimulaton(1ms, 8V, 1~16Hz, 20sec, EFS). These responses were blocked by tetrodotoxin($1{\times}10^{-6}M$). 2. The relaxation and rebound contraction of the longitudinal muscles of porcine gastric fundus to EFS were inhibited by L-NAME($2{\times}10^{-5}M$). The inhibitory effect of L-NAME was antagonized by L-arginine($1{\times}10^{-3}M$), but not by D-arginine($1{\times}10^{-3}M$). 3. Exogenous NO($NaNO_2$, $1{\times}10^{-5}{\sim}1{\times}10^{-4}M$, pH=2.0) caused concentration-dependent relaxation as EFS did. 4. Methylene Blue($2{\times}10^{-5}M$), a soluble guanylate cyclase inhibitor, inhibited the relaxation and rebound contraction of the longitudinal muscles of porcine gastric fundus induced by EFS, but N-ethlmaleimide, a adenylate cyclase inhibitor, did not. 5. 8-Br-cGMP($1{\times}10^{-6}{\sim}3{\times}10^{-6}M$), permeable cGMP analogue, induced dose-dependent relaxation. but 8-Br-cAMP($1{\times}10^{-6}{\sim}3{\times}10^{-6}M$), permeable cAMP analogue, did not. Both did not evoked rebound contraction. 6. ${\alpha}$-chymotrypsin did not affect the relaxation of the longitudinal muscles of porcine gastric fundus. 7. Reactive blue 2($1{\times}10^{-4}M$, 40min) siginificantly inhibited the rebound contraction induced by EFS and inhibited contraction caused by exogenous ATP($1{\times}10^{-4}{\sim}1{\times}10^{-3}M$). These results suggests that NANC relaxation of the longitudinal muscles of porcine gastric fundus mainly mediated by NO and the rebound contraction is related to NO and other neurotransmitters.
시계열 분석 기반 신뢰구간 추정을 활용한 항만 물동량 이상감지 방안
하준수(Ha, Jun-Su),나준호(Na, Joon-Ho),조광휘(Cho Kwang-Hee),하헌구(Ha, Hun-Koo) 한국항만경제학회 2021 韓國港灣經濟學會誌 Vol.37 No.1
부산항의 부두 장치율은 지난 3년동안 지속적으로 상승하였다. 부두 장치율 상승은 컨테이너 재조작을 야기하여 부두 노동자의 업무 강도를 증가시킨다. 또한, 장치율 상승이 장기화될 경우 선주의 대기 시간을 증가시켜 항만의 서비스 수준이 하락할 수 있다. 이에 본 연구는 부두 장치율 상승 문제를 해결하기 위한 방안으로 수요예측치의 신뢰구간 추정을 활용한 항만 물동량 이상감지 방안을 제안하였다. 수요예측 방법론은 ARIMA 모형을 사용하였으며 실증 분석을 위해 사용된 자료는 2013년 1월 1일부터 2020년 10월 12일까지 총 2841일 동안의 부산항 전체 일별 물동량 자료 및 9개 부두의 일별 물동량 자료이다. 기존에 항만 물동량을 예측하는 대부분의 연구는 주로 장기 예측에 초점을 맞추었다. 일별, 부두별 부산항 물동량 자료를 활용하여 단기 물동량을 예측하고 예측치를 기반으로 부두 장치율 관리 방안을 제시한 본 연구는 충분한 가치가 있다고 판단된다. Port congestion rate at Busan Port has increased for three years. Port congestion causes container reconditioning, which increases the dockyard labor"s work intensity and ship owner"s waiting time. If congestion is prolonged, it can cause a drop in port service levels. Therefore, this study proposed an anomaly detection method using ARIMA(Autoregressive Integrated Moving Average) model with the daily volume data from 2013 to 2020. Most of the research that predicts port volume is mainly focusing on long-term forecasting. Furthermore, studies suggesting methods to utilize demand forecasting in terms of port operations are hard to find. Therefore, this study proposes a way to use daily demand forecasting for port anomaly detection to solve the congestion problem at Busan port.