ORALS
SESSION: MedicineTuePM3-R1
| Intl. Symp. on Technological
Innovations in Medicine for Sustainable Development |
Tue. 29 Nov. 2022 / Room: Ballroom B | |
Session Chairs: TBA Session Monitor: TBA |
18:15: [MedicineTuePM314] OS Keynote
VIRUS ENTROPIC CHARACTERISTICS Grigory
Korablev1 ;
1Izhevsk state agricultural academy, Izhevsh, Russian Federation;
Paper Id: 168
[Abstract] It is demonstrated that according to the first law of thermodynamics the equality of entropic and negentropic components is the condition of resonance stationary state of systems. The initial nomograms of entropic and negentropic characteristics for many processes and phenomena in nature, engineering and physical chemistry are given. The entopic technique for forming fractal systems is presented. The coronavirus scenario in Russia is analyzed. The accuracy of forecast regarding the maximum number of diseases at the given moment and plateau duration is 96.5 % and 98.5%, respectively.
Keywords: coronavirus, entropy, negentropy, nomograms, stationary state, forecasts, fractals
19:30 Dinner
SESSION: covid19WedPM2-R2
| International Symposium on COVID-19/Infectious Diseases & their implications on Sustainable Development |
Wed. 30 Nov. 2022 / Room: Ballroom A | |
Session Chairs: Grigory Korablev; Luc Hens; Session Monitor: TBA |
16:20: [covid19WedPM210] OS
S-curves and entropic conditions of system stabilization Grigory
Korablev1 ;
1Izhevsk state agricultural academy, Izhevsh, Russian Federation;
Paper Id: 225
[Abstract] The graphs of S-curves characterize the dynamics of change of entropic components depending on the process main parameters. The condition of the system stationary state is the equality or constant of the correlation between its entropy and negentropy. Such regularities are found in many phenomena and conformational interactions in physical chemistry, nature, engineering and even economy. The examples of their functional contribution are given. The possibility of objective analysis of the coronavirus regional scenario is demonstrated based on the Russian data.