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publishDate:"[2019 TO 2021]"
journalStr:"arXiv.org"
#:"(allfields_unstemmed:2019-nCov OR allfields:2019nCov OR allfields_unstemmed:2019nCov OR allfields_unstemmed:Sars-CoV-2 OR allfields_unstemmed:COVID-19 OR allfields_unstemmed:Sars-CoV-2 OR allfields_unstemmed:COVID-19 NOT format:Book NOT collection_details:ZDB-2-SEB)"
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PubPharm (3.145)
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PEACH Tree: A Multiple Sequence Alignment and Tree Display Tool for Epidemiologists
enthalten in:
arXiv.org
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von
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|
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42
Laotian Bat Sarbecovirus BANAL-236 Uses ACE2 to Infect Cells by an Unknown Mechanism
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arXiv.org
| 2021
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43
Questioning the use of global estimates of reproduction numbers, with implications for policy
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arXiv.org
| 2021
von
Kollepara, P.
|
Miller, J.
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44
A Deep Learning Based Automated Hand Hygiene Training System
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arXiv.org
| 2021
von
Shahbandeh, M.
|
Ghaffarpour, F.
|
Vali, S.
| +4
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Dynamical clustering of U.S. states reveals four distinct infection patterns that predict SARS-CoV-2 pandemic behavior
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arXiv.org
| 2021
von
Natale, J.
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Viswanath, V.
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Acevedo, O.
| +9
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Automated assessment of disease severity of COVID-19 using artificial intelligence with synthetic chest CT
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arXiv.org
| 2021
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Liu, M.
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Liu, Y.
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Yang, Y.
| +8
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47
Multimodal Pre-Training Model for Sequence-based Prediction of Protein-Protein Interaction
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Liu, Z.
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Fang, X.
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48
Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images
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arXiv.org
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49
Mathematical models of COVID-19 spread
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arXiv.org
| 2021
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|
Kabanikhin, S.
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50
On the origins of the Omicron variant of the SARS-CoV-2 virus
enthalten in:
arXiv.org
| 2021
von
Penner, R.
|
van Baalen, M.
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Erscheinungsjahr: 2019-2021
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