<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-13T01:08:50Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2117/129899" metadataPrefix="marc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2117/129899</identifier><datestamp>2026-02-07T07:57:03Z</datestamp><setSpec>com_2072_1033</setSpec><setSpec>col_2072_452950</setSpec></header><metadata><record xmlns="http://www.loc.gov/MARC21/slim" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
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      <subfield code="a">Torres, Anny</subfield>
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      <subfield code="a">Acosta, Lloanna Maria</subfield>
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      <subfield code="a">Gibert Armengol, Vicente</subfield>
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      <subfield code="a">Serrat Piè, Carles</subfield>
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      <subfield code="c">2019-01</subfield>
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      <subfield code="a">The unavoidable deterioration of the built urban front in the cities has been increasingly generating a huge environmental impact. From this perspective, it is necessary to develop systematized methods that facilitate strategic maintenance of the facades and which study the variables that can potentially play a significant role in the damage occurrence. Therefore it is convenient to implement analytical methodologies to the decision making process on conservation and sustainability of the built urban front with a macro-scale approach. The BRAIN platform (Building Research Analysis and Information Network) is a Multi-scale Predictive System of the Degradation of the Urban Front. By means of periodic inspections, BRAIN allows analyses of damage progression and prediction of the future affectation, based on survival/reliability statistical models. The aim of this paper is to introduce a preliminary study on the implementation of the Urban Laboratory in the city of Brno, Czech Republic. Results of this primary approach have been displayed and discussed.</subfield>
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      <subfield code="a">Àrees temàtiques de la UPC::Edificació::Elements constructius d'edificis::Elements de tancament</subfield>
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      <subfield code="a">Àrees temàtiques de la UPC::Edificació::Manteniment d'edificis</subfield>
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      <subfield code="a">Facades -- Conservation and restoration</subfield>
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      <subfield code="a">Façanes -- Conservació i restauració</subfield>
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      <subfield code="a">Implementation of a multi-scale predictive system of the degradation of the urban front in Brno, Czech Republic</subfield>
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