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10.1016/j.rinp.2021.104260 http://scihub22266oqcxt.onion/10.1016/j.rinp.2021.104260 34055582!8139470!34055582     free     free     free Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 217.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 251.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Results+Phys 2021 ; 26 (ä): 104260 Nephropedia Template TP {{tp|p=34055582|t=2021. SARS-CoV-2 infection with lytic and non-lytic immune responses: A fractional order optimal control theoretical study |pdf=|usr=}}{{34055582}} gab.com Text SARS-CoV-2 infection with lytic and non-lytic immune responses: A fractional order optimal control theoretical study JO: Results Phys http://www.kidney.de/pget.php?&tw=1&pmid=34055582 #FOAvip In this research article, we establish a fractional-order mathematical model to explore the infections of the coronavirus disease (COVID-19) caused by the novel SARS-CoV-2 virus. We introduce a set of fractional differential equations taking uninfected epithelial cells, infected epithelial cells, SARS-CoV-2 virus, and CTL response cell accounting for the lytic and non-lytic effects of immune responses. We also include the effect of a commonly used antiviral drug in COVID-19 treatment in an optimal control-theoretic approach. The stability of the equilibria of the fractional ordered system using qualitative theory. Numerical simulations are presented using an iterative scheme in Matlab in support of the analytical results. Twit Text FOAVip SARS-CoV-2 infection with lytic and non-lytic immune responses: A fractional order optimal control theoretical study ????Results Phys http://www.kidney.de/pget.php?&tw=1&pmid=34055582 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34055582 #FOAvip English Wikipedia <ref>{{Cite pmid|34055582}}</ref> SARS-CoV-2 infection with lytic and non-lytic immune responses: A fractional order optimal control theoretical study #MMPMID34055582 Chatterjee AN; Basir FA; Almuqrin MA; Mondal J; Khan I Results Phys 2021[Jul]; 26 (ä): 104260 PMID34055582show ga In this research article, we establish a fractional-order mathematical model to explore the infections of the coronavirus disease (COVID-19) caused by the novel SARS-CoV-2 virus. We introduce a set of fractional differential equations taking uninfected epithelial cells, infected epithelial cells, SARS-CoV-2 virus, and CTL response cell accounting for the lytic and non-lytic effects of immune responses. We also include the effect of a commonly used antiviral drug in COVID-19 treatment in an optimal control-theoretic approach. The stability of the equilibria of the fractional ordered system using qualitative theory. Numerical simulations are presented using an iterative scheme in Matlab in support of the analytical results. äSARS-CoV-2 infection with lytic and non-lytic immune responses: A frac(epmc).pdf DeepDyve Pubget Overpricing