• Title/Summary/Keyword: 항불안 효과

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The Effect of Gyogam-dan on Depression and Immunity on Repeated Stress in Ovariectomized Rats (교감단이 우울행동과 면역기능에 미치는 효과)

  • Cheong, Hyun-Cheol;Kim, Song-Baek;Seo, Yun-Jung;Cho, Han-Baek;Choi, Chang-Min
    • The Journal of Korean Obstetrics and Gynecology
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    • v.26 no.3
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    • pp.18-32
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    • 2013
  • Objectives: In this research, the effect of Gyogam-dan (GGD) on depression and immunity were assessed in ovariectomized rats subjected to repetitive stress. GGD is the prescription consisting of Poria cocos and Cyperi Rhizoma. Methods: Ovariectomized rats were repeatedly stressed over a 2-week period. After GGD (100 or 400 mg/kg) were orally administered, Elevated Plus Maze (EPM) and forced swimming test (FST) were performed to evaluate depressive and anxiety response. As well, the change of corticosterone (CORT) and the change of interleukin-$1{\beta}$ (IL-$1{\beta}$) and interleukin-4 (IL-4) in blood serum and in brain were mesured. Results: 1. In the EPM, there were no statistically significant differences among the groups. 2. In the FST, immobility time significantly decreased in rats of each experiment group compared with the control group (p<0.01). 3. Serum CORT level were decreased in 400 mg GGD group (p<0.05). 4. On IL-$1{\beta}$ and IL-4 measurement in the serum and brain, there were not significant increase or decrease compared with the control group. Conclusions: These results suggest that GGD is effective to reduce depression-behavior in ovariectomized rats. However, GGD do not has significant efficacy to reduce anxiety-behavior in EPM test. Measurement of serum CORT level reveals significant decrease and it shows anti-depressant like effect. Results on immunity are not significant.

Analysis of Causality of the Increase in the Port Congestion due to the COVID-19 Pandemic and BDI(Baltic Dry Index) (COVID-19 팬데믹으로 인한 체선율 증가와 부정기선 운임지수의 인과성 분석)

  • Lee, Choong-Ho;Park, Keun-Sik
    • Journal of Korea Port Economic Association
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    • v.37 no.4
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    • pp.161-173
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    • 2021
  • The shipping industry plummeted and was depressed due to the global economic crisis caused by the bankruptcy of Lehman Brothers in the US in 2008. In 2020, the shipping market also suffered from a collapse in the unstable global economic situation due to the COVID-19 pandemic, but unexpectedly, it changed to an upward trend from the end of 2020, and in 2021, it exceeded the market of the boom period of 2008. According to the Clarksons report published in May 2021, the decrease in cargo volume due to the COVID-19 pandemic in 2020 has returned to the pre-corona level by the end of 2020, and the tramper bulk carrier capacity of 103~104% of the Panamax has been in the ports due to congestion. Earnings across the bulker segments have risen to ten-year highs in recent months. In this study, as factors affecting BDI, the capacity and congestion ratio of Cape and Panamax ships on the supply side, iron ore and coal seaborne tonnge on the demand side and Granger causality test, IRF(Impulse Response Function) and FEVD(Forecast Error Variance Decomposition) were performed using VAR model to analyze the impact on BDI by congestion caused by strengthen quarantine at the port due to the COVID-19 pandemic and the loading and discharging operation delay due to the infection of the stevedore, etc and to predict the shipping market after the pandemic. As a result of the Granger causality test of variables and BDI using time series data from January 2016 to July 2021, causality was found in the Fleet and Congestion variables, and as a result of the Impulse Response Function, Congestion variable was found to have significant at both upper and lower limit of the confidence interval. As a result of the Forecast Error Variance Decomposition, Congestion variable showed an explanatory power upto 25% for the change in BDI. If the congestion in ports decreases after With Corona, it is expected that there is down-risk in the shipping market. The COVID-19 pandemic occurred not from economic factors but from an ecological factor by the pandemic is different from the past economic crisis. It is necessary to analyze from a different point of view than the past economic crisis. This study has meaningful to analyze the causality and explanatory power of Congestion factor by pandemic.