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Objective The objective was to determine the effect of frailty on risk of 30-day mortality in nonseverely disabled older patients with acute heart failure ( AHF) attended in emergency departments ( EDs). Methodology The Frailty- AHF Study is a retrospective analysis of a multicenter, observational, prospective, cohort study (Older- AHF Register). This study included consecutive patients ≥ 65 years of age without severe functional dependence or dementia attended for AHF in three Spanish EDs for 4 months. Frailty was defined by frailty phenotype as the presence of three or more domains. Baseline and episode characteristics and 30-day mortality were collected in all the patients. Results A total of 465 patients with a mean (± SD) age of 82 (±7) years were included, 283 (61.0%) being female and 225 (51.3%) with severe comorbidity (Charlson index ≥ 3). Frailty was present in 169 (36.3%). The rate of 30-day mortality was 7.3%. Frailty adjusted for potential confounding factors was an independent factor associated with 30-day mortality (adjusted hazard ratio = 2.5; 95% confidence interval = 1.0 to 6.0; p = 0.047). Conclusion The presence of frailty is an independent risk factor of 30-day mortality in nonsevere dependent older patients attended with AHF in EDs. [ABSTRACT FROM AUTHOR]

During the last decade, Spain has experienced an unprecedented increase of immigration from three localized areas: Eastern Europe, Latin America, and Africa. Using data from the Labour Force Survey for the period 1996–2006, we study the labour characteristics of recent immigrants, identifying the major differences with the native population at arrival and tracking whether these differences fade away as their years of residence in Spain increase. We allow the returns to human capital and the sensitivity to the business cycle to differ between immigrants and natives. Overall, our results show that, compared to natives, immigrants face initially higher participation and unemployment rates, as well as higher incidence of overeducation and temporary contracts. However, 5 years after arrival immigrants’ participation rates start to converge to natives’ rates, unemployment rates decrease to levels even lower than those of natives, and the incidence of overeducation and temporary contracts remains roughly constant: no reduction of the gap with Spanish workers is observed. [ABSTRACT FROM AUTHOR]

Geospatial fire behaviour and fire hazard simulators, fire effects models and smoke emission software commonly use standard fuel models in order to simplify data collection and the inclusion of complex fuel scenarios. These fuel models are often mapped using remotely sensed data. However, given the great complexity of fuelbeds, with properties that vary widely in both time and space, the use of these standard fuel models can greatly limit accurate fuel mapping. This affects fuel hazard assessment, fuel reduction treatment plans, fire management decision-making and evaluation of the environmental impact of wildfire. In this study, we developed unique customized fire behaviour fuel models for shrub and bracken communities, by using k-medoids clustering analysis based on both fuel structural characteristics and potential fire behaviour. We used an original database of 722 destructive sample plots in nine different shrub and bracken communities covering the entire distribution area in Galicia (NW Spain), one of the regions in Europe most affected by forest fires. Measurements of cover, height and fuel fractions loads differentiated by size and vegetative state (live or dead) were used to estimate the potential rate of fire spread with five different models including fireline intensity, heat per unit area and the flame length for each sampling site and considering extreme environmental conditions. The optimal number of clusters was established by combining practical knowledge about the shrubland communities under study and their associated fire behaviour, with maximization of the mean value of the silhouette variable and minimization of the within-cluster sum of squares. The structural characteristics of the medoids derived from the analysis were associated with each of the proposed customized fuel models. Finally, a simple dichotomous classification based only on shrub height was developed to enable construction of spatially explicit fuel model maps based on remotely sensed data. Thus, the methodology applied allows generation of a more realistic representation of fuel distribution in the landscape, based on fuel structure measurements of natural regional ecosystems rather than on the use of standard models. We believe that the proposed methodology is generally applicable to communities composed of other shrub and fern species in different biogeographical regions., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)