Licencia / License: Salvo indicación contraria, todos los contenidos de la edición electrónica de Informes de la Construcción se distribuyen bajo una licencia de uso y distribución Creative Commons Reconocimiento no Comercial 3.0. España (cc-by-nc).Cómo citar este artículo/Citation: Macías-Bernal, J. M., Calama-Rodríguez, J. M., Chávez-de Diego, M. J. (2014). Modelo de predicción de la vida útil de la edificación patrimonial a partir de la lógica difusa.
RESUMENBuscamos un procedimiento que permita determinar y valorar los factores que inciden sobre la vulnerabilidad y riesgos que afectan al edificio y validar un modelo para poder calcular su vida útil. Tendríamos así un método de predicción que resultaría de mucha utilidad en los procesos de mantenimiento y conservación del patrimonio edificado. El problema es que al analizar las diversas metodologías que actualmente se utilizan para la predicción de hechos en el campo de la conservación del patrimonio, nos encontramos con que tales métodos se hallan en el umbral de la incertidumbre. Por esta causa, hemos optado por trabajar con la teoría de conjuntos difusos (Fuzzy set), como herramienta más adecuada. Al modelo de predicción generado con base matemática, lo hemos denominado FBSL (Fuzzy building service life) y ofrece unos resultados satisfactorios, a la hora predecir la vida útil del edificio.Palabras clave: Conservación; patrimonio; lógica difusa; vida útil; durabilidad.
SUMMARY
Co-transcriptional imprinting of mRNA by Rpb4 and Rpb7 subunits of RNA polymerase II (RNAPII) and by the Ccr4–Not complex conditions its post-transcriptional fate. In turn, mRNA degradation factors like Xrn1 are able to influence RNAPII-dependent transcription, making a feedback loop that contributes to mRNA homeostasis. In this work, we have used repressible yeast GAL genes to perform accurate measurements of transcription and mRNA degradation in a set of mutants. This genetic analysis uncovered a link from mRNA decay to transcription elongation. We combined this experimental approach with computational multi-agent modelling and tested different possibilities of Xrn1 and Ccr4 action in gene transcription. This double strategy brought us to conclude that both Xrn1–decaysome and Ccr4–Not regulate RNAPII elongation, and that they do it in parallel. We validated this conclusion measuring TFIIS genome-wide recruitment to elongating RNAPII. We found that xrn1Δ and ccr4Δ exhibited very different patterns of TFIIS versus RNAPII occupancy, which confirmed their distinct role in controlling transcription elongation. We also found that the relative influence of Xrn1 and Ccr4 is different in the genes encoding ribosomal proteins as compared to the rest of the genome.
On the basis of our results, it appears that the disc diffusion test is a useful method for testing the activity of voriconazole against Aspergillus spp.
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