• Title/Summary/Keyword: 천연두바이러스

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A Study on the Validation system of Detection for Biological Agents Using Real-Time PCR (실시간 중합효소 연쇄반응을 활용한 생물작용제 검증시스템 연구)

  • Cha, Younggil;Koo, Bonwoo;Kim, Seongjoo;Kim, Namil;Park, Hanoh
    • Journal of the Korea Institute of Military Science and Technology
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    • v.20 no.5
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    • pp.726-732
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    • 2017
  • Bacillus anthracis, Vibrio cholerae, Variola virus and Shigella dysenteriae are classified as category A and B biological weapons. In this study suggest that 4 genes of Bacillus anthracis, 2 genes of Vibrio cholerae, 1 gene of Variola virus and 1 gene of Shigella dysenteriae were detective 50~500 fg of target DNA per reaction using real-time PCR based assay. Also analytical specificity did not show any cross-reactivity with other related bacteria. Reliable and one reaction could be effective early diagnostic and treatment for detection of unknown samples.

Analysis of Globalization After COVID-19 Based on Network (네트워크 기반 코로나바이러스감염증-19 이후 세계화 분석)

  • Ryu, Jea Woon;Kim, Hak Yong
    • The Journal of the Korea Contents Association
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    • v.21 no.6
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    • pp.62-70
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    • 2021
  • 2020 was a year in which the world spent in disorder due to the pandemic of Coronavirus infection-19(COVID-19). The pandemic was at the beginning of a turning point in history. For examples, the Black Death(Pest) that destroyed the feudal system of medieval Europe in the 14th century, smallpox that led to the destruction of the Inca Empire by Spain in the 17th century, and the Spanish flu that ended World War I early. The great transformation that will come after COVID-19 is presented from various fields and perspectives, but the understanding and direction of the transformation is ambiguous. This study attempts to derive and to analyze core terms based on a network of the future of globalization after COVID-19. Four Networks related to globalization, anti-globalization, and globalization and digitalization after COVID-19 were established respectively. A network integrating four networks was also constructed. The core terms were extracted from the hub nodes, the stress centrality, and the simplified network to which the K-core algorithm was applied. After COVID-19, the changes in globalization were analyzed from the extracted core terms. This study is thought to be meaningful to propose a method of deriving and analyzing core terms based on a network in understanding social changes after COVID-19.