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dc.creatorMitić, V.
dc.creatorLazović, G.
dc.creatorMilošević, D.
dc.creatorRistanović, E.
dc.creatorSimeunović, Dragan M.
dc.creatorTsay, S.-C.
dc.creatorMilošević, M.
dc.creatorVlahović, B.
dc.date.accessioned2021-04-02T12:29:03Z
dc.date.available2021-04-02T12:29:03Z
dc.date.issued2020
dc.identifier.issn0217-9849
dc.identifier.urihttp://rfpn.fpn.bg.ac.rs/handle/123456789/769
dc.description.abstractThe goal of our research is to establish the direction of coronavirus chaotic motion to control corona dynamic by fractal nature analysis. These microorganisms attaching the different cells andorgans in the human body getting very dangerous because we don't have corona antivirus prevention and protection but also the unpredictable these viruses motion directions what resulting in very important distractions. Our idea is to develop the method and procedure to control the virus motion direction with the intention to prognose on which cells and organs could attach. We combined very rear coronavirus motion sub-microstructures images from worldwide experimental microstructure analysis. The problem of the recording this motion is from one point of view magnification, but the other side in resolution, because the virus size is minimum 10 times less than bacterizes. But all these images have been good data to resolve by time interval method and fractals, the points on the motiontrajectory. We successfully defined the diagrams on the way to establish control over Brownian chaotic motion as a bridge between chaotic disorder to control disorder. This opens a very new perspective to future research to get complete control of coronavirus cases.en
dc.publisherWorld Scientific
dc.rightsrestrictedAccess
dc.sourceModern Physics Letters B
dc.subjectBrownian motionen
dc.subjectCoronavirusen
dc.subjectfractalsen
dc.subjecttime interval methoden
dc.titleBrownian fractal nature coronavirus motionen
dc.typearticle
dc.rights.licenseARR
dc.citation.rankM22
dc.identifier.doi10.1142/S0217984921500767
dc.identifier.scopus2-s2.0-85098965318
dc.identifier.wos000617332000011
dc.type.versionpublishedVersion


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