Zobrazeno 1 - 10 of 23 pro vyhledávání: '"Jaemin Woo"'
1
Akademický článek
Potential health risks to disinfection workers from exposure to active substances in COVID-19 biocidal products
Autor: Gihong Min, Jihun Shin, Dongjun Kim, Youngtae Choe, Jaemin Woo, Kil Yong Choi, Jangwoo Lee, Mansu Cho, Jongdae Lee, Jin-Sung Ra, Wonho Yang
Publikováno v: Heliyon, Vol 10, Iss 7, Pp e28249- (2024)
The importance of disinfection has recently been emphasized due to the increasing risk of the spread of infections such as coronavirus disease-2019 (COVID-19). In addition, disinfection for preventing the spread of COVID-19 is highly recommended. The
Externí odkaz: https://doaj.org/article/4af15e5ad5e74f5ab57c5a0c9b202d18
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2
Akademický článek
Spatiotemporal Exposure Assessment of PM2.5 Concentration Using a Sensor-Based Air Monitoring System
Autor: Jihun Shin, Jaemin Woo, Youngtae Choe, Gihong Min, Dongjun Kim, Daehwan Kim, Sanghoon Lee, Wonho Yang
Publikováno v: Atmosphere, Vol 15, Iss 6, p 664 (2024)
Sensor-based air monitoring instruments (SAMIs) can provide high-resolution air quality data by offering a detailed mapping of areas that air quality monitoring stations (AQMSs) cannot reach. This enhances the precision of estimating PM2.5 concentrat
Externí odkaz: https://doaj.org/article/c5c27045818d4357895695a944c22d5c
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3
Akademický článek
An Empirical Assessment of Reviewer 2
Autor: Christopher Worsham MD, Jaemin Woo BA, André Zimerman MD, Charles F. Bray BS, Anupam B. Jena MD, PhD
Publikováno v: Inquiry: The Journal of Health Care Organization, Provision, and Financing, Vol 59 (2022)
According to research lore, the second peer reviewer (Reviewer 2) is believed to rate research manuscripts more harshly than the other reviewers. The purpose of this study was to empirically investigate this common belief. We measured word count, pos
Externí odkaz: https://doaj.org/article/2d71808e167f4bcabcd7a86457a85bbc
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4
Akademický článek
CASS: A distributed network clustering algorithm based on structure similarity for large-scale network.
Autor: Jungrim Kim, Mincheol Shin, Jeongwoo Kim, Chihyun Park, Sujin Lee, Jaemin Woo, Hyerim Kim, Dongmin Seo, Seokjong Yu, Sanghyun Park
Publikováno v: PLoS ONE, Vol 13, Iss 10, p e0203670 (2018)
As the size of networks increases, it is becoming important to analyze large-scale network data. A network clustering algorithm is useful for analysis of network data. Conventional network clustering algorithms in a single machine environment rather
Externí odkaz: https://doaj.org/article/17e5db4fe52e41ec8972fdf30e552c2d
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