Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Min Hee Choi"'
Publikováno v:
World Journal of Clinical Cases. 11:2043-2050
Autor:
SooHo Rho, Jeong Kuk Park, Yeo Won Sim, Min Hee Choi, Nayoung Kwon, MinJu Kim, WeonSeok Jung, JooYoung Kim, Ju Hyeon Kim, Si Hyeock Lee, SangYoun Park
Publikováno v:
Biochemical and Biophysical Research Communications. 631:64-71
The human parasitic head and body lice lay their eggs on either hair or clothing. Attachments of the eggs are possible because the female lice secret a glue substance from the accessory gland along with the egg, which hardens into a nit sheath that s
Publikováno v:
IEEE Access, Vol 9, Pp 20521-20530 (2021)
The data obtained from storm-induced damage to power grids possesses an inherent skewness distribution, which impedes the development of the damage forecasting model. An inaccurate damage forecasting model may fail to accurately forecast the damages
Autor:
SooHo Rho, WeonSeok Jung, Jeong Kuk Park, Min Hee Choi, MinJu Kim, JooYoung Kim, JiWon Byun, Taehyun Park, Byung Il Lee, Steven P. Wilkinson, SangYoun Park
Publikováno v:
Biochemical and biophysical research communications. 615
HucR is a MarR family protein of Deinococcus radiodurans, which binds tightly to the intergenic region of HucR and the uricase gene to inhibit their expression. Urate (or uric acid) antagonizes the repressor function of HucR by binding to HucR to imp
Publikováno v:
The transactions of The Korean Institute of Electrical Engineers. 69:772-782
Publikováno v:
The transactions of The Korean Institute of Electrical Engineers. 68:1085-1093
Publikováno v:
Renewable and Sustainable Energy Reviews. 156:112010
Publikováno v:
Journal of Korean Medical Science
Background Protective mechanical ventilation using low tidal volume has been introduced to surgical patients to reduce the incidence of postoperative pulmonary complications. We investigated the effects of protective ventilation (PV) techniques on an
Publikováno v:
Applied Sciences
Volume 10
Issue 14
Applied Sciences, Vol 10, Iss 4693, p 4693 (2020)
Volume 10
Issue 14
Applied Sciences, Vol 10, Iss 4693, p 4693 (2020)
This study presents a machine learning-based method for predicting the power grid state subjected to heavy-rain hazards. Machine learning models can recognize key knowledge from a dataset without any preliminary knowledge about the dataset. Hence, ma
Publikováno v:
European Journal of Anaesthesiology.
Background Bedside sonography of the inferior vena cava has been demonstrated to be a reliable tool for assessing intravascular volume status. Subclavian vein (SCV) assessment was proposed as a reasonable adjunct for measuring the inferior vena cava.