Zobrazeno 1 - 10
of 57
pro vyhledávání: '"HongGu Lee"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The objective of this study was to determine whether adding phytoncide oil (PO) and soybean oil (SBO) to the dairy cow diet could increase milk conjugated linoleic acid (CLA) and depress methane (CH4) emissions in Holstein dairy cows. Rumen
Externí odkaz:
https://doaj.org/article/2b7a62bc6e664aaa88bc1e78b3f8e312
Publikováno v:
Animals, Vol 14, Iss 13, p 1956 (2024)
Two in vitro experiments were conducted to evaluate the effects of Centella asiatica extract (CAE) supplementation on the rumen’s in vitro fermentation characteristics. In the first experiment, CAE with five concentrations (C: 0%; T1: 3.05%; T2: 6.
Externí odkaz:
https://doaj.org/article/8b3b59c261924fa3a8606e0f0143b9c6
Autor:
Brad Kim, DongQiao Peng, HongGu Lee, JinSoo Park, JunHee Lee, Steve B Smith, WonSeob Kim, XueCheng Jin
Publikováno v:
Meat and Muscle Biology, Vol 8, Iss 1 (2024)
Optimal muscle and intramuscular fat development are foundational to enhanced high-quality meat production in beef cattle, involving the proliferation and differentiation of key cellular populations, such as myoblasts and preadipocytes. Vitamin A is
Externí odkaz:
https://doaj.org/article/1645ec9889ac4cd7b215d65e853a8619
Autor:
KiYeon Park, HongGu Lee
Publikováno v:
Journal of Animal Science and Technology, Vol 62, Iss 1, Pp 52-57 (2020)
In rumen in vitro experiments, although nitrogen gas (N2) flushing has been widely used, its effects on rumen fermentation characteristics are not clearly determined. The present study is the first to evaluate the effects of N2 flushing on rumen
Externí odkaz:
https://doaj.org/article/e70e58a2547e4498b061c9753655172f
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 1, p e28659 (2022)
BackgroundDespite the unprecedented performance of deep learning algorithms in clinical domains, full reviews of algorithmic predictions by human experts remain mandatory. Under these circumstances, artificial intelligence (AI) models are primarily d
Externí odkaz:
https://doaj.org/article/dedbb810f97c4f22af1595ca4ae55bd7
Publikováno v:
Asian-Australasian Journal of Animal Sciences, Vol 32, Iss 7, Pp 1007-1014 (2019)
Objective This study was conducted to evaluate the fermentation characteristics under low mesophilic temperature of spent instant coffee ground (SICG) and to estimate the effect of fermented SICG (FSICG) as alternative feed ingredient on milk product
Externí odkaz:
https://doaj.org/article/9ecd07b74cee481cad04bf74c18f0115
Autor:
WonSeob Kim, DongQiao Peng, YongHo Jo, JangHoon Jo, Jalil G Nejad, JaeSung Lee, Jongkyoo Kim, HongGu Lee
Publikováno v:
Journal of Animal Science. 100:352-353
Heat resistance depends on the breed of cattle and is important for genetic improvement under heat stress (HS). Study objectives were to investigate the heat resistance using peripheral blood mononuclear cells (PBMCs) and hair follicles in beef and d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c52a554de70b0c78b14403cd23b0dcbc
https://doi.org/10.1093/jas/skac247.643
https://doi.org/10.1093/jas/skac247.643
Autor:
JangHoon Jo, Jalil Ghassemi Nejad, WonSeob Kim, DongQiao Peng, YongHo Jo, Hye Ran Kim, Nam Geon Park, HongGu Lee
Publikováno v:
Journal of Animal Science. 100:252-253
We aimed to characterize the novel insights into the recovery (RC) regulation mechanism after heat stress (HS) in early lactating Holstein cows in changing environments using measures of productive performance, physiological and genetic indicators, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f1da5df108648b04fce285c4986ad7e
https://doi.org/10.1093/jas/skac247.456
https://doi.org/10.1093/jas/skac247.456
The objective of this study was to determine whether adding phytoncide oil (PO) and soybean oil (SBO) to the dairy cow diet could increase milk conjugated linoleic acid (CLA) and depress methane (CH4) emissions in lactating Holstein cows. Rumen ferme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8d3684c35b9f18ad8bd91d1716c0b7e
https://doi.org/10.21203/rs.3.rs-1220680/v1
https://doi.org/10.21203/rs.3.rs-1220680/v1
Publikováno v:
ICASSP
Recent studies on deep learning for biomedical data analysis have shown that guiding neural networks (NNs) to incorporate appropriate domain knowledge can enhance model performance. Accordingly, we present an auxiliary classification task for sleep s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::862b18ef8f41070f0a41c8296a7509ca
https://doi.org/10.1109/icassp39728.2021.9413683
https://doi.org/10.1109/icassp39728.2021.9413683