• Journal of Ginseng Research
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• 제43권2호
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• pp.272-281
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• 2019

Background: Diabetic sensorineural damage is a complication of the sensory neural system, resulting from long-term hyperglycemia. Red ginseng (RG) has shown efficacy for treatment of various diseases, including diabetes mellitus; however, there is little research about its benefit for treating sensorineural damage. Therefore, we aim to evaluate RG efficacy in alloxan-induced diabetic neuromast (AIDN) zebrafish. Methods: In this study, we developed and validated an AIDN zebrafish model. To assess RG effectiveness, we observed morphological changes in live neuromast zebrafish. Also, zebrafish has been observed to have an ultrastructure of hair-cell cilia under scanning electron microscopy. Thus, we recorded these physiological traits to assess hair cell function. Finally, we confirmed that RG promoted neuromast recovery via nerve growth factor signaling pathway markers. Results: First, we established an AIDN zebrafish model. Using this model, we showed via live neuromast imaging that RG fostered recovery of sensorineural damage. Damaged hair cell cilia were recovered in AIDN zebrafish. Furthermore, RG rescued damaged hair cell function through cell membrane ion balance. Conclusion: Our data suggest that RG potentially facilitates recovery in AIDN zebrafish, and its mechanism seems to be promotion of the nerve growth factor pathway through increased expression of topomyosin receptor kinase A, transient receptor potential channel vanilloid subfamily type 1, and mitogen-activated protein kinase phosphorylation.

• 로봇학회논문지
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• 제18권1호
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• pp.53-58
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• 2023

In general, in order to operate an autonomous underwater vehicle (AUV) in an underwater environment, a navigation system such as a Doppler Log (DVL) using a Doppler phenomenon of ultrasonic waves is used for speed and direction estimation. However, most of the ultrasonic sensors in underwater is large for long-distance sensing and the cost is very high. In this study, not only canal neuromast on the fish's lateral lines but also superficial neuromast are studied on the simulation to obtain pressure values for each pressure sensor, and the obtained pressure data is supervised using spherical CNN. To this end, through supervised learning using pressure data obtained from a pressure sensor attached to an underwater vehicle, we can estimate the speed and angle of the underwater vehicle in a quasi-static underwater environment and propose a method for a non-ultrasonic based navigation system.

• 한국어류학회지
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• 제8권1호
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• pp.74-82
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• 1996

금호강의 한 지류인 자양천에 서식하고 있는 잔가시고기 Pungitius sinensis kaibarae(Tanaka)의 인판 발생과정을 조사하였다. 인판의 발생 순서는 체장 13mm경에 미병부에서 최초로 나타났으며 체장 16mm경에는 배지느러미가시의 상부에 흉부인판이 나타났다. 그후 이 두 점을 기점으로 하여 앞뒤로 인판이 차례차례 발생하여 체장 20mm경에 서로 연결되어 trachurus형의 배열이 완성되었다. 체장 22mm경에는 인판의 수가 32-33개로서 성체와 거의 같아졌다. 인판의 발달 상태는 어체의 부위에 따라 다르지만 체장 25mm경에는 최전방부를 제외한 대부분의 인판이 후기의 상태로 되었다. 최전방의 인판은 성체가 되어도 대부분이 중기 상태에 머물러 있었다. 모든 인판은 측선의 neuromast주위에서 발생하였다. 그러나 최전방의 5개까지의 인판위에는 인판이 발생하지 않는 추가적인 neuromast가 있음이 발견되었다. 일본산 잔가시고기와의 관계 및 추가적인 neuromast 발견의 계통분류학적 중요성에 대하여 논의하였다.