Trapped in a blind spot : the Covid-19 crisis in nursing homes in Italy and Spain

Altres ajuts: Govern de Catalunya (2020FI_B1 00049)This article investigates the delay in implementation and inadequacy of specific policy actions in the fight against the COVID-19 pandemic in nursing homes. The analysis focuses on Lombardy and Madrid, the two wealthiest regions in Italy and Spain. These were the most severely affected by the onset of the pandemic, both country-wise and at the European level. We compare the chronology of policy decisions that affected nursing homes against the broader policy responses related to the health crisis. We look at structural factors that reveal policy legacy effects. Our analysis shows that key emergency interventions arrived late, especially when compared to similar actions taken by the national health services. Weak institutional embedding of nursing homes within the welfare state in terms of ownership, allocation of resources, regulation and coordination hindered a swift response to the onset of the crisis

Information extraction from multimedia web documents: an open-source platform and testbed

The LivingKnowledge project aimed to enhance the current state of the art in search, retrieval and knowledge management on the web by advancing the use of sentiment and opinion analysis within multimedia applications. To achieve this aim, a diverse set of novel and complementary analysis techniques have been integrated into a single, but extensible software platform on which such applications can be built. The platform combines state-of-the-art techniques for extracting facts, opinions and sentiment from multimedia documents, and unlike earlier platforms, it exploits both visual and textual techniques to support multimedia information retrieval. Foreseeing the usefulness of this software in the wider community, the platform has been made generally available as an open-source project. This paper describes the platform design, gives an overview of the analysis algorithms integrated into the system and describes two applications that utilise the system for multimedia information retrieval

Relational Symbolic Execution

Symbolic execution is a classical program analysis technique used to show that programs satisfy or violate given specifications. In this work we generalize symbolic execution to support program analysis for relational specifications in the form of relational properties - these are properties about two runs of two programs on related inputs, or about two executions of a single program on related inputs. Relational properties are useful to formalize notions in security and privacy, and to reason about program optimizations. We design a relational symbolic execution engine, named RelSym which supports interactive refutation, as well as proving of relational properties for programs written in a language with arrays and for-like loops

Design of a Novel Concept for Harnessing Tidal Stream Power

This project involved the design, manufacture, and testing of a novel water energy harvesting device. Through the use of a bio-mimetic ribbon fin, the device extracted power from flowing water with a competitive efficiency. Intended for use in tidal streams or rivers, this technology is suited for small hydro installations, with the potential for scaling to higher capacity generation

Manipulation of extinction features in frequency combs through the usage of graphene

Lately, the integration of two-dimensional materials into semiconductor devices has allowed the modification of their effective index by simply applying a modest voltage (between 0 and 3 volts). In this work, we present a device composed of two evanescently coupled silicon microring resonators where both rings have a graphene layer on top. This design is aimed to produce frequency combs with transmission characteristics controlled upon voltage application to the graphene layer. We numerically analyze the device response as a function of the incident wavelength and applied voltage. The results showed a low input intensity (0.6 GW/cm2) needed and a rapid response time (0.1 μs), in comparison to devices controlled by heat injection

Factors selection in landslide susceptibility modelling on large scale following the gis matrix method: application to the river Beiro basin (Spain)

A procedure to select the controlling factors connected to the slope instability has been defined. It allowed us to assess the landslide susceptibility in the Rio Beiro basin (about 10 km2) over the northeastern area of the city of Granada (Spain). Field and remote (Google EarthTM) recognition techniques allowed us to generate a landslide inventory consisting in 127 phenomena. To discriminate between stable and unstable conditions, a diagnostic area had been chosen as the one limited to the crown and the toe of the scarp of the landslide. 15 controlling or determining factors have been defined considering topographic, geologic, geomorphologic and pedologic available data. Univariate tests, using both association coefficients and validation results of single-variable susceptibility models, allowed us to select the best predictors, which were combined for the unique conditions analysis. For each of the five recognised landslide typologies, susceptibility maps for the best models were prepared. In order to verify both the goodness of fit and the prediction skill of the susceptibility models, two different validation procedures were applied and compared. Both procedures are based on a random partition of the landslide archive for producing a test and a training subset. The first method is based on the analysis of the shape of the success and prediction rate curves, which are quantitatively analysed exploiting two morphometric indexes. The second method is based on the analysis of the degree of fit, by considering the relative error between the intersected target landslides by each of the different susceptibility classes in which the study area was partitioned. Both the validation procedures confirmed a very good predictive performance of the susceptibility models and of the actual procedure followed to select the controlling factors.This research was supported by project CGL2008-04854 funded by the Ministry of Science and Education of Spain and was developed in the RNM121 Research Group funded by the Andalusian Research Plan

Cardiovascular risk factors and cardiovascular risk assessment in professional divers

Background: The professional diver’s activity implies body cardiovascular stress. Little data on cardiovascular risk factors is available. Some studies report a high prevalence of tobacco consumption. The purpose of this study is to investigate the cardiovascular risk factors of professional divers and calculate the predicted 5-year risk and the predicted 10-year risk of an acute coronary event. Materials and methods: In one medical centre, data on dives and cardiovascular risk factors were analysed on Epidata® software, by Pearson c2 test or by Fisher’s exact test, by analysis of variance test or by Kruskal-Wallis test, and by Spearman correlation coefficient. Cardiovascular risk scores at 5 and 10 years were calculated using SCORE. Results: A total 200 professional divers were included. Of these, 31% were smokers or had stopped smoking for less than 3 years; 40% had an abnormal body mass index; 50% had raised total cholesterol levels; 11% had an advanced age; 6.5% had high blood pressure; 81% had at least one risk factor; 66% had an alterable risk factor; 25.5% had a 5-year risk greater than that of the general population of the same age; 2.5% had a high cardiovascular risk at 10 years; and 34% were at intermediate risk. Conclusions: The majority of divers had at least one cardiovascular risk factor. Cardiovascular risk scores were lower than that of the general population. However, some of this population is at high risk. One third of the divers had an intermediate risk, which should lead to the consideration of conducting additional biological examinations to better assess their risk