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This study presents the hydrogeological and vegetational context of lowland springs -known in Italian as risorgive or fontanili - in a sector of the southern Po Plain near Turin (north-western Italy). Despite their important ecological role, these springs remain understudied, particularly regarding the effects of climate change and human activities. Not included in Italy’s environmental protection regulations and often poorly...
Based on the evaluation of 3,902 local floristic references published between 2005 and 2025, an update to the floristic knowledge map of Italy is presented. To measure the progress in floristic knowledge across Italy’s administrative regions, the ‘Index of Floristic Knowledge Advancement’ (IFA) is proposed here. This index categorizes regions based on the proportion of potential improvement that has actually been achieved. Res...
Microplastics and Nanoplastics in Cardiovascular Disease: An Emerging Cardiovascular Risk FactorNARA Subscribed
Microplastics and nanoplastics (MNPs) have become pervasive contaminants in air, water, and food, leading to continuous human exposure. Contrary to the long-standing assumption that these particles are biologically inert, accumulating evidence now shows that MNPs cross epithelial and endothelial barriers, circulate systemically, and accumulate in cardiovascular tissues. Experimental, translational, and early clinical studies d...
A new technology for a novel clinical approach in a dog with a complex vascular anomaly: the “extended reality”NARA Subscribed
Extended reality includes both virtual and augmented realities. In virtual reality objects are rendered in an artificial environment where the user can move and interact with a head mounted display. In augmented reality virtual objects are superimposed to real environment enriching it via a head mounted display. In human medicine these technologies have been already used for educational surgical purposes, but remain relatively...
A pre-whitening with block-bootstrap cross-correlation procedure for temporal alignment of data sampled by eddy covariance systemsNARA Subscribed
The eddy covariance (EC) method is a standard micrometeorological technique for monitoring the exchange rate of the main greenhouse gases across the interface between the atmosphere and ecosystems. One of the first EC data processing steps is the temporal alignment of the raw, high frequency measurements collected by the sonic anemometer and gas analyser. While different methods have been proposed and are currently applied, th...
Trait‐based ecology has already revealed main independent axes of trait variation defining trait spaces that summarize plant adaptive strategies, but often ignoring intraspecific trait variability (ITV). By using empirical ITV‐level data for two independent dimensions of leaf form and function and 167 species across five habitat types (coastal dunes, forests, grasslands, heathlands, wetlands) in the Italian peninsula, we found...
This work dealt with the assessment of a computational tool to estimate the electrical activation in the left ventricle focusing on the latest electrically activated segment (LEAS) in patients with left bundle branch block and possible myocardial fibrosis. We considered the Eikonal-diffusion equation and to recover the electrical activation maps in the myocardium. The model was calibrated by using activation times acquired in...
Common, low-frequency, rare, and ultra-rare coding variants contribute to COVID-19 severityNARA Subscribed
The combined impact of common and rare exonic variants in COVID-19 host genetics is currently insufficiently understood. Here, common and rare variants from whole-exome sequencing data of about 4000 SARS-CoV-2-positive individuals were used to define an interpretable machine-learning model for predicting COVID-19 severity. First, variants were converted into separate sets of Boolean features, depending on the absence or the pr...
Recovery agenda for sustainable development post COVID-19 at the country level: developing a fuzzy action priority surfaceNARA Subscribed
As a response to the urgent call for recovery actions against the COVID-19 crisis, this research aims to identify action priority areas post COVID-19 toward achieving the targets of the sustainable development goals (SDGs) within the 2030 Agenda for Sustainable Development launched by the United Nations (UN). This paper applies a mixed-method approach to map the post-COVID-19 SDGs targets on a fuzzy action priority surface at...