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Leveraging AI Data Analytics Methodology for Social Sustainability of Working Environments: An Integrated Framework

This study presents an AI-enhanced framework to evaluate the social sustainability of working environments in European industrial systems. Focusing on four key dimensions (Gender Gap, Employment by Skill, Safety at Work, and Digital Skill Gap) the framework leverages machine learning techniques (clustering and decision trees) to classify and compare countries’ social sustainability profiles over time. Results highlight significant disparities across European nations and temporal improvements ...

Spinal maps in phasic and tonic EMG: Investigating intra-subject and inter-subject variability

Reaching movements are essential for daily tasks and they have been widely investigated through kinematic, kinetic, and electromyographic (EMG) analyses. Recent studies have suggested that the central nervous system simplifies control of reaching movements by using muscle synergies. An alternative approach is to investigate how EMG activity reflects at the neural level with the representation of spinal maps that visualize the spatiotemporal activity of motoneuronal pools. Spinal maps have bee...

Book of Abstracts of the Fifth Edition of the Young Applied Mathematicians Conference

Il presente volume raccoglie i long abstracts dei contributi presentati durante la quinta edizione della “Young Applied Mathematicians Conference” (YAMC, www.yamc.it). Ospitato dal Dipartimento di Ingegneria Civile, Edile e Ambientale (DICEA) dell’Università di Padova, in collaborazione con il Dipartimento di Matematica “Tullio Levi-Civita”, il convegno si è svolto dal 22 al 26 settembre 2025. L’edizione ha riunito 108 partecipanti provenienti da 52 università e centri di ricerca di 12 Paesi,...

The risk on the ground and in the airspace posed by uncontrolled re-entries: should the growth observed in recent years be considered worrying?

Between 2010 and 2024, the risk posed by uncontrolled orbital re-entries of spacecraft, upper stages, and large debris to people on the ground and commercial aviation was assessed using realistic models for the number and casualty area of surviving fragments, as well as for the latitudinal distribution of population and air traffic. Each re-entered object was analyzed individually, taking into account its dry mass and actual orbital inclination. Furthermore, the effects of complete atmospheri...

Gaseous ligand binding to Porphyromonas gingivalis HmuY hemophore-like protein in complex with heme

Porphyromonas gingivalis is the main pathogenic player in the development of periodontitis. To acquire heme, being an essential source of iron and protoporphyrin IX, P. gingivalis utilizes TonB-dependent outer membrane heme receptor (HmuR) and heme-binding hemophore-like protein (HmuY) as the main system for heme uptake from host hemoproteins. In this work, we present an extensive spectroscopic characterization of the binding of exogenous gaseous ligands to the holo-form of the HmuY (HmuY-hem...

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Prodotti recenti

Leveraging AI Data Analytics Methodology for Social Sustainability of Working Environments: An Integrated Framework

Spinal maps in phasic and tonic EMG: Investigating intra-subject and inter-subject variability

Book of Abstracts of the Fifth Edition of the Young Applied Mathematicians Conference

The risk on the ground and in the airspace posed by uncontrolled re-entries: should the growth observed in recent years be considered worrying?

Gaseous ligand binding to Porphyromonas gingivalis HmuY hemophore-like protein in complex with heme

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