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