Výsledky vyhledávání - "JIN HYOUNG CHO"

Akademický článek

Proteomic Assessment of the Relevant Factors Affecting Pork Meat Quality Associated with Muscles in Duroc Pigs

Autor: Jin Hyoung Cho, Ra Ham Lee, Young-Joo Jeon, Seon-Min Park, Jae-Cheon Shin, Seok-Ho Kim, Jin Young Jeong, Hyun-sung Kang, Nag-Jin Choi, Kang Seok Seo, Young Sik Cho, MinSeok S. Kim, Sungho Ko, Jae-Min Seo, Seung-Youp Lee, Jung-Hyun Shim, Jung-Il Chae

Publikováno v: Asian-Australasian Journal of Animal Sciences, Vol 29, Iss 11, Pp 1653-1663 (2016)

Meat quality is a complex trait influenced by many factors, including genetics, nutrition, feeding environment, animal handling, and their interactions. To elucidate relevant factors affecting pork quality associated with oxidative stress and muscle

Externí odkaz: https://doaj.org/article/1f3e5c12ab564971a90a0587913abea8

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Akademický článek

Regional Differences of Proteins Expressing in Adipose Depots Isolated from Cows, Steers and Bulls as Identified by a Proteomic Approach

Autor: Jin Hyoung Cho, Jin Young Jeong, Ra Ham Lee, Mi Na Park, Seok-Ho Kim, Seon-Min Park, Jae-Cheon Shin, Young-Joo Jeon, Jung-Hyun Shim, Nag-Jin Choi, Kang Seok Seo, Young Sik Cho, MinSeok S. Kim, Sungho Ko, Jae-Min Seo, Seung-Youp Lee, Jung-Il Chae, Hyun-Jeong Lee

Publikováno v: Asian-Australasian Journal of Animal Sciences, Vol 29, Iss 8, Pp 1197-1206 (2016)

Adipose tissue in the loin muscle area of beef cattle as a marbling factor is directly associated with beef quality. To elucidate whether properties of proteins involved in depot specific adipose tissue were sex-dependent, we analyzed protein express

Externí odkaz: https://doaj.org/article/647866163e304c039d93e5a8cc36bc02

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Akademický článek

The prediction of sagittal chin point relapse following two-jaw surgery using machine learning

Autor: Young Ho Kim, Inhwan Kim, Yoon-Ji Kim, Minji Kim, Jin-Hyoung Cho, Mihee Hong, Kyung-Hwa Kang, Sung-Hoon Lim, Su-Jung Kim, Namkug Kim, Jeong Won Shin, Sang-Jin Sung, Seung-Hak Baek, Hwa Sung Chae

Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)

Abstract The study aimed to identify critical factors associated with the surgical stability of pogonion (Pog) by applying machine learning (ML) to predict relapse following two-jaw orthognathic surgery (2 J-OGJ). The sample set comprised 227 patient

Externí odkaz: https://doaj.org/article/e3be68d5eb004fd3a8897dc12c9a5006

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Akademický článek

Author Correction: The prediction of sagittal chin point relapse following two-jaw surgery using machine learning

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-1 (2024)

Externí odkaz: https://doaj.org/article/dc7245fe82f84a8b81ab6acdc6142500

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Orthodontic traction of a horizontally impacted mandibular second premolar

Autor: Yuchen Zheng, Young-Soo Seo, Min-Hee Oh, Jin-Hyoung Cho

Publikováno v: Oral Biology Research. 47:22-26

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9f95aae35a35a1645eb3206026db6dea
https://doi.org/10.21851/obr.47.01.202303.22

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Akademický článek

Infrared Clinical Enamel Crack Detector Based on Silicon CCD and Its Application: A High-Quality and Low-Cost Option

Autor: Yuchen Zheng, Min-Hee Oh, Woo-Sub Song, Ki-Hyun Kim, In-Hee Shin, Min-Seok Kim, Jin-Hyoung Cho

Publikováno v: Journal of Imaging, Vol 7, Iss 12, p 259 (2021)

Enamel cracks generated in the anterior teeth not only affect the function but also the aesthetics of the teeth. Chair-side tooth enamel crack detection is essential for clinicians to formulate treatment plans and prevent related dental disease. This

Externí odkaz: https://doaj.org/article/33ce1d73db9f4724be73251516fbeccd

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