Výsledky vyhledávání - "Jeongha, Lee"

Akademický článek

Comparison of fibroblast growth factor 19 concentrations between dogs with and without gallbladder mucoceles

Autor: Vy Ngoc Yen Truong, Chin‐Chi Liu, Jillian Myers, Mayzie Miller, Amanda Yang, Jeongha Lee, Nancy Welborn, Andrea N. Johnston

Publikováno v: Journal of Veterinary Internal Medicine, Vol 38, Iss 5, Pp 2518-2522 (2024)

Abstract Background Fibroblast growth factor 19 (FGF19) is an enterohepatic hormone the synthesis of which is stimulated by bile acid activation of the nuclear farnesoid X receptor (FXR) in ileal enterocytes. Increased production of FGF19 downregulat

Externí odkaz: https://doaj.org/article/7427de78142749d0b7b3b47acc536725

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Akademický článek

The Effects of the Polymers as a Sacrificed Material for the Hydroxyapatite Powder Synthesized by an Ultrasonic Spray Pyrolysis Process

Autor: Jeongha Lee, Kun-Jae Lee

Publikováno v: Archives of Metallurgy and Materials, Vol vol. 69, Iss No 1, Pp 87-90 (2024)

The HAp (hydroxyapatite) excellent ion exchange resin and has adsorption properties of heavy metals and organic materials. It is used as an adsorption material and as an organic drug-delivery material due to these characteristics, that are essentiall

Externí odkaz: https://doaj.org/article/34b44f6dd2714a07bba1423afc25b3ab

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Akademický článek

Ungauged Basin Flood Prediction Using Long Short-Term Memory and Unstructured Social Media Data

Autor: Jeongha Lee, Seokhwan Hwang

Publikováno v: Water, Vol 15, Iss 21, p 3818 (2023)

Floods are highly perilous and recurring natural disasters that cause extensive property damage and threaten human life. However, the paucity of hydrological observational data hampers the precision of physical flood models, particularly in ungauged

Externí odkaz: https://doaj.org/article/eed1ecf9148344b68eb6028d61595a57

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Akademický článek

Analyzing Data Reference Characteristics of Deep Learning Workloads for Improving Buffer Cache Performance

Autor: Jeongha Lee, Hyokyung Bahn

Publikováno v: Applied Sciences, Vol 13, Iss 22, p 12102 (2023)

Due to the recent growing data size of deep learning workloads, loading data from storage is increasingly becoming a performance bottleneck for neural network systems. In this article, we analyze the data reference characteristics of neural network w

Externí odkaz: https://doaj.org/article/13b696fbd02f490da6ba3058c437003a

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Akademický článek

Systematic analysis of inheritance pattern determination in genes that cause rare neurodevelopmental diseases

Publikováno v: Frontiers in Genetics, Vol 13 (2022)

Despite recent advancements in our understanding of genetic etiology and its molecular and physiological consequences, it is not yet clear what genetic features determine the inheritance pattern of a disease. To address this issue, we conducted whole

Externí odkaz: https://doaj.org/article/377232de7e2a4f6389e8ef1feb46182f

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Akademický článek

A logical network-based drug-screening platform for Alzheimer’s disease representing pathological features of human brain organoids

Autor: Jong-Chan Park, So-Yeong Jang, Dongjoon Lee, Jeongha Lee, Uiryong Kang, Hongjun Chang, Haeng Jun Kim, Sun-Ho Han, Jinsoo Seo, Murim Choi, Dong Young Lee, Min Soo Byun, Dahyun Yi, Kwang-Hyun Cho, Inhee Mook-Jung

Publikováno v: Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)

Developing effective drugs for Alzheimer’s disease (AD), the most common cause of dementia, has been difficult because of complicated pathogenesis. Here, the authors report an efficient network-based drug-screening platform developed by integrating

Externí odkaz: https://doaj.org/article/76e852796f214d3b97b10bab8107b2db

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Akademický článek

Relationship between Uveal Inflammation and Viral Detection in 30 Cats with Feline Infectious Peritonitis

Autor: Mariano Carossino, Fabio Del Piero, Jeongha Lee, David B. Needle, Jonathan M. Levine, Ronald R. Riis, Roger Maes, Annabel G. Wise, Keenan Mullaney, Jacqueline Ferracone, Ingeborg M. Langohr

Publikováno v: Pathogens, Vol 11, Iss 8, p 883 (2022)

Feline infectious peritonitis (FIP) virus is the most common infectious cause of uveitis in cats. Confirmatory diagnosis is usually only reached at postmortem examination. The relationship between the histologic inflammatory pattern, which depends on

Externí odkaz: https://doaj.org/article/a97f70c036e645b89f415edc113410b8

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