Výsledky vyhledávání - "Sang Mi Park"

Akademický článek

Combination of Pelargonium sidoides and Coptis chinensis root inhibits nuclear factor kappa B-mediated inflammatory response in vitro and in vivo

Autor: Sang Mi Park, Byung-Gu Min, Ji Yun Jung, Kyung Hwan Jegal, Chul Won Lee, Kwang Youn Kim, Young Woo Kim, Youn-Woong Choi, Il Je Cho, Sae Kwang Ku, Sang Chan Kim

Publikováno v: BMC Complementary and Alternative Medicine, Vol 18, Iss 1, Pp 1-13 (2018)

Abstract Background Pelargonium sidoides (PS) and Coptis chinensis root (CR) have traditionally been used to treat various diseases, including respiratory and gastrointestinal infections, dysmenorrhea, and hepatic disorders. The present study was con

Externí odkaz: https://doaj.org/article/b741765b1bac44c78ae5d53b7d992542

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Akademický článek

20S-Protopanaxadiol, an aglycosylated ginsenoside metabolite, induces hepatic stellate cell apoptosis through liver kinase B1–AMP-activated protein kinase activation

Autor: Sang Mi Park, Eun Hye Jung, Jae Kwang Kim, Kyung Hwan Jegal, Chung A Park, Il Je Cho, Sang Chan Kim

Publikováno v: Journal of Ginseng Research, Vol 41, Iss 3, Pp 392-402 (2017)

Background: Previously, we reported that Korean Red Ginseng inhibited liver fibrosis in mice and reduced the expressions of fibrogenic genes in hepatic stellate cells (HSCs). The present study was undertaken to identify the major ginsenoside responsi

Externí odkaz: https://doaj.org/article/81f901ce94934750a489a8fa5e6f6f64

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Akademický článek

Korean Red Ginseng attenuates anxiety-like behavior during ethanol withdrawal in rats

Autor: ZhengLin Zhao, Young Woo Kim, YiYan Wu, Jie Zhang, Ju-Hee Lee, XiaoHua Li, Il Je Cho, Sang Mi Park, Dae Hwa Jung, Chae Ha Yang, Sang Chan Kim, RongJie Zhao

Publikováno v: Journal of Ginseng Research, Vol 38, Iss 4, Pp 256-263 (2014)

Background: Korean Red Ginseng (KRG) is known to have antianxiety properties. This study was conducted to investigate the anxiolytic effects of KRG extract (KRGE) during ethanol withdrawal (EW) and the involvement of the mesoamygdaloid dopamine (DA)

Externí odkaz: https://doaj.org/article/9a1367b0d5ab48859e6db6a70b97fb54

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Akademický článek

RandMixAugment: A Novel Unified Technique for Region- and Image-Level Data Augmentations

Autor: Yosoeb Shin, Vikas Palakonda, Sangseok Yun, Il-Min Kim, Seon-Gon Kim, Sang-Mi Park, Jae-Mo Kang

Publikováno v: IEEE Access, Vol 12, Pp 8187-8197 (2024)

Deep learning models learn powerful representational spaces required for handling complex tasks. Recently, data augmentation techniques, region-level, and image-level augmentation have proved effective in significantly improving deep learning models�

Externí odkaz: https://doaj.org/article/58bf71ee5c204a418053071cfbe4ead6

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