Výsledky vyhledávání - "Park Won-Seok"

Akademický článek

Retinoic acid induces hyaluronic acid production through the klotho-mediated EGFR signaling pathway in human epidermal keratinocytes

Autor: Choi Hyangtae, Lee Yonghee, Park Won-seok, Kim Beom Joon, Lee Chang Seok

Publikováno v: Archives of Biological Sciences, Vol 74, Iss 1, Pp 91-96 (2022)

All-trans retinoic acid (RA) is an effective anti-aging chemical substance widely used in skin-care products. RA compromises epidermal differentiation and induces keratinocyte proliferation, causing hyaluronic acid production through mechanisms that

Externí odkaz: https://doaj.org/article/4fbf6bee84b446c9aed9ece32623c246

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Akademický článek

All-trans retinoic acid prevents oxidative stress-mediated cellular senescence via upregulation of insulin-like growth factor binding protein-6 in normal human epidermal keratinocytes

Autor: Choi Hyangtae, Lee Jin Young, Park Nok Hyun, Nam Jin, Park Won-Seok, Lee Chang Seok, Kim Beom Joon

Publikováno v: Archives of Biological Sciences, Vol 73, Iss 3, Pp 425-432 (2021)

All-trans retinoic acid (ATRA) influences cellular proliferation and differentiation but its mechanisms of action are not understood in keratinocytes. To investigate the potential mechanisms of action of ATRA in keratinocytes, microarray analysis of

Externí odkaz: https://doaj.org/article/53908c0b88e24779aa712fb6375d5975

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Frequency of Interest-based Noise Attenuation Method to Improve Anomaly Detection Performance

Autor: Park, YeongHyeon, Kim, Myung Jin, Park, Won Seok

Accurately extracting driving events is the way to maximize computational efficiency and anomaly detection performance in the tire frictional nose-based anomaly detection task. This study proposes a concise and highly useful method for improving the

Externí odkaz: http://arxiv.org/abs/2210.11068

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Akademický článek

Spectral and mass characterization of kinetic conversion from retinoids to retinoic acid in an in vitro 3-D human skin equivalent model

Autor: Kim, Jeong-Eun, Lee, Da-Yeon, Choi, Joonho, Hong, Yong-Deok, Nam, Jin, Park, Won-Seok, Shim, Soon-Mi

Publikováno v: In European Journal of Pharmaceutical Sciences 1 July 2024 198

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Anomaly Detection in Particulate Matter Sensor using Hypothesis Pruning Generative Adversarial Network

Autor: Park, YeongHyeon, Park, Won Seok, Kim, Yeong Beom

World Health Organization (WHO) provides the guideline for managing the Particulate Matter (PM) level because when the PM level is higher, it threats the human health. For managing PM level, the procedure for measuring PM value is needed firstly. We

Externí odkaz: http://arxiv.org/abs/1912.00583

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