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A FORMAL MODEL FOR THE SIMULATION AND ANALYSIS OF EARLY BIOFILM FORMATION

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dc.contributor.author Cerone, Antonio
dc.contributor.author Marsili, Enrico
dc.date.accessioned 2022-02-07T08:19:15Z
dc.date.available 2022-02-07T08:19:15Z
dc.date.issued 2021-03-05
dc.identifier.citation Carroli, L. (2021c). Participatory research and planning in practice. Urban Research & Practice, 14(1), 107–109. https://doi.org/10.1080/17535069.2020.1868249 en_US
dc.identifier.uri http://nur.nu.edu.kz/handle/123456789/6026
dc.description.abstract Biofilms are structured communities of bacterial cells adherent to a surface. This bacterial state is called sessile. This paper focuses on the modelling of the transition between planktonic and sessile state using Real-time Maude as the modelling language. With more and more bacteria joining the sessile community, the likelihood of producing a biofilm increases. Once the percentage of bacterial cells that adheres to the surface reaches a threshold, which is specific for the considered bacterium species, a permanent biofilm is formed. An important challenge is to predict the time needed for the formation of a biofilm on a specific surface, in order to plan when the material infrastructure that comprises such a surface needs to be cleaned or replaced. We exploit the model-checking features of Real-time Maude to formally prove that a regular cleaning or replacement of the infrastructure prevents the biofilm formation. en_US
dc.language.iso en en_US
dc.publisher From Data to Models and Back en_US
dc.rights Attribution-NonCommercial-ShareAlike 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/us/ *
dc.subject Type of access: Open Access en_US
dc.subject Biofilms en_US
dc.subject Formal methods en_US
dc.subject Rewriting logic en_US
dc.subject Real-Time Maude en_US
dc.title A FORMAL MODEL FOR THE SIMULATION AND ANALYSIS OF EARLY BIOFILM FORMATION en_US
dc.type Conference Paper en_US
workflow.import.source science


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Attribution-NonCommercial-ShareAlike 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 3.0 United States