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Yang-Ju Son, Jai-Eok Park, Nakhyun Lee, Young-Woong Ju, Su-Hyeon Pyo, Changmin Oh, Gyhye Yoo and Chu Won Nho
Artemisia annua L. is a well-known therapeutic herb that is widely used in folk medicine in Asian and African countries. A. annua can alleviate fever, wounds, and inflammation and is also popular as an anti-malarial agent. Cu and Zn are essential nutrien...
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Costas Varotsos, Nicholas V. Sarlis, Yuri Mazei, Damir Saldaev and Maria Efstathiou
Remotely sensed data play a crucial role in monitoring the El Niño/La Niña Southern Oscillation (ENSO), which is an oceanic-atmospheric phenomenon occurring quasi-periodically with several impacts worldwide, such as specific biological and global climate...
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Chien-Yu Su and Kuu-Young Young
In facing the outbreak of the pandemic, robots are highly appealing for their non-contact nature. Among them, we have selected the mobile robot manipulator to develop an autonomous system for pandemic prevention, as it possesses both mobility and manipul...
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Zhaohui Yan, Mingli Wang, Xujun Li and Hui Jiang
China?s African swine fever (ASF) outbreak, which started in 2018, has had a huge and far-reaching impact on China?s hog industry, and it has not been completely eliminated so far. This article analyzes the impact of the ASF epidemic on the costs and tec...
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Leah Downey, Stefan Eich
Pág. Finance an - 72
What began with an intense bout of crypto fever has since the onset of the pandemic engendered an explosive rise in online retail trading. While the original political promise of financial decentralization has become ever harder to sustain, the idea of d...
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Hamidreza Marateb, Mina Norouzirad, Kouhyar Tavakolian, Faezeh Aminorroaya, Mohammadreza Mohebbian, Miguel Ángel Mañanas, Sergio Romero Lafuente, Ramin Sami and Marjan Mansourian
Optimal allocation of ward beds is crucial given the respiratory nature of COVID-19, which necessitates urgent hospitalization for certain patients. Several governments have leveraged technology to mitigate the pandemic?s adverse impacts. Based on clinic...
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Patrick Loola Bokonda, Moussa Sidibe, Nissrine Souissi and Khadija Ouazzani-Touhami
COVID-19 has raised the issue of fighting epidemics. We were able to realize that in this fight, countering the spread of the disease was the main goal and we propose to contribute to it. To achieve this, we propose an enriched model of Random Forest (RF...
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Marek Bujnák, Rastislav Pirník, Pavol Kuchár and Karol Rástocný
High hygiene standards were established during the COVID-19 epidemic, and their adherence was closely monitored. They included the need to regularly wash one?s hands and the requirement to cover person?s upper airways or keep at least a two-meter space b...
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Muchammad Naseer, Jauzak Hussaini Windiatmaja, Muhamad Asvial and Riri Fitri Sari
The application of the bidirectional encoder model to detect fake news has been widely applied because of its ability to provide factual verification with good results. Good fact verification requires the most optimal model and has the best evaluation to...
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Min-Hye Lee, Hyung-Jin Mun and Sun-Kyoung Kang
We propose a study to predict health abnormalities by analyzing body temperature and the heart rate variability parameters of pulse waves. The research method firstly selects fever by applying a deep learning model to thermal images, and secondly, extrac...
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