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<title>Ponencias / Comunicaciones de congresos Matemática Aplicada</title>
<link>https://hdl.handle.net/10259/8272</link>
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<pubDate>Mon, 20 Apr 2026 15:55:03 GMT</pubDate>
<dc:date>2026-04-20T15:55:03Z</dc:date>
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<title>Biofilm Mechanics and Patterns</title>
<link>https://hdl.handle.net/10259/8368</link>
<description>Biofilm Mechanics and Patterns
Carpio, Ana; Cebrián de Barrio, Elena; Espeso, D. R.; Vidal, Perfecto
From multicellular tissues to bacterial colonies, three dimensional cellular structures arise through the interaction of cellular activities and mechanical forces. Simple bacterial communities provide model systems for analyzing such interaction. Biofilms are bacterial aggregates attached to wet surfaces and encased in a self-produced polymeric matrix. Biofilms in flows form filamentary structures that contrast with the wrinkled layers observed on air/solid interfaces. We are able to reproduce both types of shapes through elastic rod and plate models that incorporate information from the biomass production and differentiation processes, such as growth rates, growth tensors or inner stresses, as well as constraints imposed by the interaction with environment.
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<pubDate>Mon, 01 Jan 2018 00:00:00 GMT</pubDate>
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<dc:date>2018-01-01T00:00:00Z</dc:date>
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<title>Parameter fitting in models of biofilm resistance to antibiotics</title>
<link>https://hdl.handle.net/10259/8273</link>
<description>Parameter fitting in models of biofilm resistance to antibiotics
Cebrián de Barrio, Elena; Carpio, Ana
Biofilms are communities formed by bacteria attached to surfaces and protected from antibiotic attacks by a polymeric matrix (EPS). Dynamic Energy Budget (DEB) models take into account the diversity of the mechanisms involved in biofilm resistance to antibiotics and allow us to study their effects on bacteria. These models involve sets of unknown parameters, which must be fitted to experimental data in such a way that the model predictions are consistent with experiments. Varying these parameters in a simplified model, we are able to calibrate their values and understand their influence on different bacterial distributions.
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<pubDate>Mon, 01 Jan 2018 00:00:00 GMT</pubDate>
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<dc:date>2018-01-01T00:00:00Z</dc:date>
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