Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Jonggul Lee"'
Publikováno v:
Royal Society Open Science, Vol 8, Iss 9 (2021)
In various diseases, the STAT family display various cellular controls over various challenges faced by the immune system and cell death programs. In this study, we investigate how an intracellular signalling network (STAT1, STAT3, Bcl-2 and BAX) reg
Externí odkaz:
https://doaj.org/article/7ed4b6e6ba01437c914da6140e7b8810
Publikováno v:
PLoS ONE, Vol 14, Iss 6, p e0218202 (2019)
During the winter of 2016-2017, an epidemic of highly pathogenic avian influenza (HPAI) led to high mortality in poultry and put a serious burden on the poultry industry of the Republic of Korea. Effective control measures considering spatial heterog
Externí odkaz:
https://doaj.org/article/7f02b174b7174fe2ab84fd9c011a4ef7
Publikováno v:
Materials Research Express, Vol 8, Iss 2, p 026302 (2021)
Machine learning (ML) has increasingly been of interest in the design of new materials. However, it is still challenging to exploit an ML model in this field because its performance highly depends on the representation of materials, its properties, a
Externí odkaz:
https://doaj.org/article/f21131b182644550a29a7bd2ce79ee9a
Autor:
Youngsuk Ko, Victoria May Mendoza, Renier Mendoza, Yubin Seo, Jacob Lee, Jonggul Lee, Donghyok Kwon, Eunok Jung
Publikováno v:
Journal of Korean Medical Science. 37
The most recent variant of concern, omicron (B.1.1.529), has caused numerous cases worldwide including the Republic of Korea due to its fast transmission and reduced vaccine effectiveness.A mathematical model considering age-structure, vaccine, antiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::206d389ac637258f5521e161eed08c6c
https://doi.org/10.3346/jkms.2022.37.e209
https://doi.org/10.3346/jkms.2022.37.e209
Publikováno v:
Materials Research Express
Materials Research Express, IOP Publishing Ltd, 2021, 8 (2), pp.026302. ⟨10.1088/2053-1591/abe2d5⟩
Materials Research Express, IOP Publishing Ltd, 2021, 8 (2), pp.026302. ⟨10.1088/2053-1591/abe2d5⟩
Machine learning (ML) has increasingly been of interest in the design of new materials. However, it is still challenging to exploit an ML model in this field because its performance highly depends on the representation of materials, its properties, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2189eb8898092273cb1d114d01e54e28
https://hal.sorbonne-universite.fr/hal-03163241/document
https://hal.sorbonne-universite.fr/hal-03163241/document
Publikováno v:
International Journal of Environmental Research and Public Health, Vol 17, Iss 9551, p 9551 (2020)
International Journal of Environmental Research and Public Health
Volume 17
Issue 24
International Journal of Environmental Research and Public Health
Volume 17
Issue 24
Nonpharmaceutical intervention has been one of the most important strategies to prevent the spread of the SARS-CoV-2 in the communities during the COVID-19 pandemic. Korea has a unique experience that we had the first large outbreak during the early
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::724fd929282fbf7a96de8e80a3881c49
https://www.mdpi.com/1660-4601/17/24/9551
https://www.mdpi.com/1660-4601/17/24/9551
Publikováno v:
Journal of Theoretical Biology. 454:320-329
We study the spatial-temporal pattern of the spread of the 2009 H1N1 influenza virus using a metapopulation model linked by commuting flow based on the reported influenza cases during the early stages of the epidemic in the Republic of Korea. The spa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6947123910fbcb887410aae5508358f4
https://doi.org/10.1016/j.jtbi.2018.06.016
https://doi.org/10.1016/j.jtbi.2018.06.016
Publikováno v:
Journal of Theoretical Biology. 412:74-85
A mathematical model for the transmission dynamics of the 2009 A/H1N1 influenza epidemic in the Republic of Korea is developed. The simulation period is separated into three consecutive periods based on the government's intervention strategies: the n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68033897e4cc9c5a686dca5d0978176b
https://doi.org/10.1016/j.jtbi.2016.09.025
https://doi.org/10.1016/j.jtbi.2016.09.025
Publikováno v:
PLoS ONE
PLoS ONE, Vol 14, Iss 6, p e0218202 (2019)
PLoS ONE, Vol 14, Iss 6, p e0218202 (2019)
During the winter of 2016-2017, an epidemic of highly pathogenic avian influenza (HPAI) led to high mortality in poultry and put a serious burden on the poultry industry of the Republic of Korea. Effective control measures considering spatial heterog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70a467a989eec320d750f56de50b7f84
http://europepmc.org/articles/PMC6564009
http://europepmc.org/articles/PMC6564009
Publikováno v:
Journal of Theoretical Biology
The 2015 Middle East respiratory syndrome (MERS) outbreak in the Republic of Korea has provided an opportunity to improve our understanding of the spread of MERS linked to healthcare settings. Here we designed a dynamic transmission model to analyze
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37b663bb3f95ca8c6dac4bb3f5125ff3
https://doi.org/10.1016/j.jtbi.2016.08.009
https://doi.org/10.1016/j.jtbi.2016.08.009