بایگانی بخش کووید ۱۹
یکشنبه ۲۳ آبان ۱۴۰۰ -
The suggestion of active ۳-chymotrypsin like protease (۳CLPro) inhibitors as potential anti-SARS-CoV-۲ agents using predictive QSAR model based on the combination of ALASSO with the ANN modelMozafaria, Z., Arab Chamjangali, M., Arashi, M. and Goudarzia, N. (۲۰۲۱) The suggestion of active ۳-chymotrypsin like protease (۳CLPro) inhibitors as potential anti-SARS-CoV-۲ agents using predictive QSAR model based on the combination of ALASSO with the ANN model, SAR and QSAR in Environmental Research, DOI: ۱۰.۱۰۸۰/۱۰۶۲۹۳۶X.۲۰۲۱.۱۹۷۵۱۶۷ |
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یکشنبه ۲۳ آبان ۱۴۰۰ -
Pitting the Gumbel and logistic growth models against one another to model COVID-۱۹ spreadYoo, K., Arashi, M. and Bekker, A. (۲۰۲۰) Pitting the Gumbel and logistic growth models against one another to model COVID-۱۹ spread, Journal of Health Science and Development, ۳(۲), ۱۷-۳۰. |
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یکشنبه ۲۳ آبان ۱۴۰۰ -
Sibling rivalry within inverse Weibull family to predict the COVID-۱۹ spread in South AfricaHashemi, F., Bekker, A., Smith, K. and Arashi, M. (۲۰۲۱) Sibling rivalry within inverse Weibull family to predict the COVID-۱۹ spread in South Africa, Communications in Statistics – Case Studies and Data Analysis, DOI: ۱۰.۱۰۸۰/۲۳۷۳۷۴۸۴.۲۰۲۱.۱۹۷۹۴۳۳ |
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یکشنبه ۲۳ آبان ۱۴۰۰ -
Evaluating prediction of COVID-۱۹ at provincial level of South Africa a statistical perspectiveArashi, M., Bekker, A., Salehi, M., Millard, S., Botha, T. and Golpaygani, M. (۲۰۲۱) Evaluating prediction of COVID-۱۹ at provincial level of South Africa: a statistical perspective, Environmental Science and Pollution Research, DOI: ۱۰.۱۰۰۷/s۱۱۳۵۶-۰۲۱-۱۷۲۹۱-y |
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یکشنبه ۲۳ آبان ۱۴۰۰ -
A synergetic R-Shiny portal for modeling and tracking of COVID-۱۹ dataSalehi, M., Arashi, M., Bekker, A., Ferreira, J., Chen, D.G., Esmaeili, F. and Frances, M. (۲۰۲۱) A synergetic R-Shiny portal for modeling and tracking of COVID-۱۹ data, Frontiers in Public Health - Infectious Diseases – Surveillance, Prevention and Treatment, ۸, ۶۲۳۶۲۴. |
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