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Machine learning models for the prediction of polychlorinated biphenyls and asbestos materials in buildings

Hazardous materials in buildings cause project uncertainty concerning schedule and cost estimation, and hinder material recovery in renovation and demolition. The study aims to identify patterns and extent of polychlorinated biphenyls (PCBs) and asbestos materials in the Swedish building stock to assess their potential presence in pre-demolition audits. Statistics and machine learning pipelines we

Economic impact of reducing treatment gaps in depression

Background Major depressive disorder (MDD) is highly prevalent across Europe. While evidence-based treatments exist, many people with MDD have their condition undetected and/or untreated. This study aimed to assess the cost-effectiveness of reducing treatment gaps using a modeling approach. Methods A decision-tree model covering a 27-month time horizon was used. This followed a care pathway where

Stunting and wasting in a growing economy : Biological living standards in Portugal during the twentieth century

Portugal's real income per head grew by a factor of eight during the second half of the twentieth century, a period of fast convergence towards Western European living standards. We use a new sample of about 3,400 infants and children living in Lisbon to document trends in the prevalence of stunting and wasting between 1906 and 1994. We find that stunting and wasting fell quickly from around 1950,

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Comment harmoniser les politiques écologiques et sociales ? Comment remettre la société dans une dynamique de progrès et de justice ? Rendez-vous pour deux journées de débats à la cinquième édition de Solutions solidaires, les 1er et 2 février à Bordeaux, en partenariat avec le département de la Gironde.