Zobrazeno 1 - 10 of 26 pro vyhledávání: '"Insoo Rheem"'
1
Akademický článek
Investigation of occurrence patterns of respiratory syncytial virus A and B in infected-patients from Cheonan, Korea
Autor: Ga-Yeon Kim, Insoo Rheem, You Hyun Joung, Jae Kyung Kim
Publikováno v: Respiratory Research, Vol 21, Iss 1, Pp 1-9 (2020)
Abstract Background Respiratory infections caused by viruses affect the lower respiratory tract; these infections are severe in patients with underlying diseases and can even lead to death. Respiratory syncytial virus (RSV), one of the causative agen
Externí odkaz: https://doaj.org/article/f5d36ff5602d45abaa09f962c37c79f5
Zobrazit plný text záznamu
4
Antimicrobial Susceptibility Patterns of Microorganisms Isolated from Blood Culture during the Last 8 Years: 2010∼2017
Autor: 공소영 ( So Young Gong ), 김종완 ( Jong Wan Kim ), 김재수 ( Jae Soo Kim ), 임인수 ( Insoo Rheem ), 김가연 ( Ga Yeon Kim )
Publikováno v: The Korean Journal of Clinical Laboratory Science. 51:155-163
검사는 2010년부터 2017년까지 162,551 검체중 11,233 검체(6.9%)가 배양 양성이었으며, 이중 11,865 균주가 배양되었다. 배양된 균종 중 그람양성구균이 47.8%, 그람음성간균 38.8%, 그람양성간균 4.2%,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::05f85ee8617e631b8c6be41fcc35e57b
https://doi.org/10.15324/kjcls.2019.51.2.155
Zobrazit plný text záznamu
5
Improving the Quality of Response Surface Analysis of an Experiment for Coffee-supplemented Milk Beverage: II. Heterogeneous Third-order Models and Multi-response Optimization
Autor: Insoo Rheem, Sejong Oh, Sungsue Rheem
Publikováno v: Food Science of Animal Resources
This research was motivated by our encounter with the situation where an optimization was done based on statistically non-significant models having poor fits. Such a situation took place in a research to optimize manufacturing conditions for improvin
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b396352914d0fc91becbd87e3866e0a
https://doi.org/10.5851/kosfa.2019.e17
Zobrazit plný text záznamu
7
Response Surface Methodology Using a Fullest Balanced Model: A Re-Analysis of a Dataset in the Korean Journal for Food Science of Animal Resources
Autor: Sejong Oh, Insoo Rheem, Sungsue Rheem
Publikováno v: Korean Journal for Food Science of Animal Resources
Response surface methodology (RSM) is a useful set of statistical techniques for modeling and optimizing responses in research studies of food science. In the analysis of response surface data, a second-order polynomial regression model is usually us
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51a1780021d245483e1ae807fca26bc0
http://europepmc.org/articles/PMC5355578
Zobrazit plný text záznamu
9
The Assessment of Blood Glucose Distribution according to the Fasting State and Glycemic Control Indicators for Diabetes Screening
Autor: Insoo Rheem, Pil Seung Kwon
Publikováno v: The Korean Journal of Clinical Laboratory Science. 48:312-320
This study analyzed the distribution of the blood glucose level according to the fasting status. Moreover, a relationship was analyzed between fasting blood glucose level and glycemic control indicators. A total of 707 outpatients, who visited Dankoo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0d0e6a5266ad24035ebc5dc7d11a6f54
https://doi.org/10.15324/kjcls.2016.48.4.312
Zobrazit plný text záznamu
10
Investigation of occurrence patterns of respiratory syncytial virus A and B in infected-patients from Cheonan, Korea
Autor: Insoo Rheem, Ga-Yeon Kim, You Hyun Joung, Jae Kyung Kim
Publikováno v: Respiratory Research
Respiratory research, 21:191
Respiratory Research, Vol 21, Iss 1, Pp 1-9 (2020)
Background Respiratory infections caused by viruses affect the lower respiratory tract; these infections are severe in patients with underlying diseases and can even lead to death. Respiratory syncytial virus (RSV), one of the causative agents of res
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09fb94aeef4b53f38177c0b47fc6c908
https://pubmed.ncbi.nlm.nih.gov/32682419
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje