Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Junbum, Lee"'
Publikováno v:
Journal of Global Antimicrobial Resistance, Vol 32, Iss , Pp 50-57 (2023)
ABSTRACT: Objectives: Global spread of mobilized colistin resistance gene (mcr)-carrying Escherichia coli poses serious threats to public health. This study aimed to provide insights into different threats posed by two major mcr variants: mcr-1.1 and
Externí odkaz:
https://doaj.org/article/f1d406c48088445780162f92faa46f3a
Autor:
Hyokeun Song, Junbum Lee, Saehah Yi, Woo-Hyun Kim, Yuna Kim, Beomkwan Namgoong, Ahreum Choe, Gunhee Cho, Jangmi Shin, Youngsik Park, Min Su Kim, Seongbeom Cho
Publikováno v:
Microbiology Spectrum, Vol 11, Iss 4 (2023)
ABSTRACT Red ginseng, widely used in traditional medicine for various conditions, imparts health benefits mainly by modulating the gut microbiota in humans. Given the similarities in gut microbiota between humans and dogs, red ginseng-derived dietary
Externí odkaz:
https://doaj.org/article/5f2e1b90108b428aaa4aa15a4acd184d
Publikováno v:
Journal of global antimicrobial resistance.
Global spread of mobilized colistin resistance gene (mcr)-carrying Escherichia coli (MCR-EC) poses serious threats to public health. This study aimed to provide insights into different threats posed by two major mcr variants: mcr-1.1 and mcr-3.1.Gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0324358c36ce23f794ab716a60d8996f
https://pubmed.ncbi.nlm.nih.gov/36572149
https://pubmed.ncbi.nlm.nih.gov/36572149
Publikováno v:
Medicine; 7/7/2023, Vol. 102 Issue 27, p1-7, 7p
Autor:
JungHa, Woo, Jae-Ho, Guk, Saehah, Yi, Junbum, Lee, Hyokeun, Song, Woo-Hyun, Kim, Seongbeom, Cho
Publikováno v:
International Journal of Food Microbiology. 386:110019
Antimicrobial-resistant gram-negative bacteria in dairy products can transfer antimicrobial resistance to gut microbiota in humans and can adversely impact the product quality. In this study, we aimed to investigate their distribution in dairy proces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38daa58c77fa56fec277bf07bba44a46
https://doi.org/10.1016/j.ijfoodmicro.2022.110019
https://doi.org/10.1016/j.ijfoodmicro.2022.110019
Publikováno v:
Journalism. :146488492110692
This study explored the presence of digital echo chambers in the realm of partisan media’s news comment sections in South Korea. We analyzed the political slant of 152 K user comments written by 76 K unique contributors on NAVER, the country’s mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a73a7c1ad9fab330ed2391fbde06f18
https://doi.org/10.1177/14648849211069241
https://doi.org/10.1177/14648849211069241
Publikováno v:
SocialNLP@ACL
Toxic comments in online platforms are an unavoidable social issue under the cloak of anonymity. Hate speech detection has been actively done for languages such as English, German, or Italian, where manually labeled corpus has been released. In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0690612c2810c3751ecb8667a7575e3
http://arxiv.org/abs/2005.12503
http://arxiv.org/abs/2005.12503
Publikováno v:
W-NUT@EMNLP
This study analyzes the political slants of user comments on Korean partisan media. We built a BERT-based classifier to detect political leaning of short comments via the use of semi-unsupervised deep learning methods that produced an F1 score of 0.8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95c51753e215c353d89acac150352130
https://doi.org/10.18653/v1/d19-5548
https://doi.org/10.18653/v1/d19-5548