The tunneling current in a graphene nanoribbon tunnel field effect transistor(GNR-TFET) has been quantum mechanically modeled. The tunneling current in the GNR-TFET was compared based on calculations of the Dirac-like...The tunneling current in a graphene nanoribbon tunnel field effect transistor(GNR-TFET) has been quantum mechanically modeled. The tunneling current in the GNR-TFET was compared based on calculations of the Dirac-like equation and Schrodinger’s equation. To calculate the electron transmittance, a numerical approach-namely the transfer matrix method(TMM)-was employed and the Launder formula was used to compute the tunneling current. The results suggest that the tunneling currents that were calculated using both equations have similar characteristics for the same parameters, even though they have different values. The tunneling currents that were calculated by applying the Dirac-like equation were lower than those calculated using Schrodinger’s equation.展开更多
Background:COVID-19 is an acute infection of the respiratory tract that emerged in late 2019.Currently identified methods for identifying the severe acute respiratory syndrome coronavirus 2 virus include methods that ...Background:COVID-19 is an acute infection of the respiratory tract that emerged in late 2019.Currently identified methods for identifying the severe acute respiratory syndrome coronavirus 2 virus include methods that detect the presence of the virus itself,such as reverse transcription PCR and isothermal amplification methods,and those that detect antibodies produced in response to the infection.Reverse transcription PCR and quantitative PCR are highly sensitive but have a narrow time window of sensitivity.Methods:We investigated a new method to detect the occurrence of severe acute respiratory syndrome coronavirus 2 by analyzing the early rise in leukocyte levels which has a characteristic set of ratios of leukocyte types which identify the viral pathogen and distinguish it from a number of others.We used the Albert Einstein Hospital,São Paulo data set and the Athena AI System to validate this method.Results:The sensitivity of the test is up to 98.67%prediction of positives from full blood count results.Conclusion:We have discovered an early test for SARS-CoV-2 which can be performed using a black-boxed AI to give high sensitivity prediction of COVID-19 infection.展开更多
基金supported by Hibah Penelitian Berbasi Kompetensi 2018 RISTEKDIKTI Republic of Indonesia
文摘The tunneling current in a graphene nanoribbon tunnel field effect transistor(GNR-TFET) has been quantum mechanically modeled. The tunneling current in the GNR-TFET was compared based on calculations of the Dirac-like equation and Schrodinger’s equation. To calculate the electron transmittance, a numerical approach-namely the transfer matrix method(TMM)-was employed and the Launder formula was used to compute the tunneling current. The results suggest that the tunneling currents that were calculated using both equations have similar characteristics for the same parameters, even though they have different values. The tunneling currents that were calculated by applying the Dirac-like equation were lower than those calculated using Schrodinger’s equation.
文摘Background:COVID-19 is an acute infection of the respiratory tract that emerged in late 2019.Currently identified methods for identifying the severe acute respiratory syndrome coronavirus 2 virus include methods that detect the presence of the virus itself,such as reverse transcription PCR and isothermal amplification methods,and those that detect antibodies produced in response to the infection.Reverse transcription PCR and quantitative PCR are highly sensitive but have a narrow time window of sensitivity.Methods:We investigated a new method to detect the occurrence of severe acute respiratory syndrome coronavirus 2 by analyzing the early rise in leukocyte levels which has a characteristic set of ratios of leukocyte types which identify the viral pathogen and distinguish it from a number of others.We used the Albert Einstein Hospital,São Paulo data set and the Athena AI System to validate this method.Results:The sensitivity of the test is up to 98.67%prediction of positives from full blood count results.Conclusion:We have discovered an early test for SARS-CoV-2 which can be performed using a black-boxed AI to give high sensitivity prediction of COVID-19 infection.
