University of Modena and Reggio Emilia
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Stable Water Isotopes and Machine Learning Approaches to Investigate Seawater Intrusion in the Magra River Estuary (Italy)
No full textSeawater intrusion into coastal river systems poses increasing challenges for freshwater availability and estuarine ecosystem integrity, especially under evolving climatic and anthropogenic pressures. This study presents a multidisciplinary investigation of marine intrusion dynamics within the Magra River estuary (Northwest Italy), integrating field monitoring, isotopic tracing (δ18O; δD), and multivariate statistical modeling. Over an 18-
month period, 11 fixed stations were monitored across six seasonal campaigns, yielding a comprehensive dataset of water electrical conductivity (EC) and stable isotope measurements from fresh water to salty water. EC and oxygen isotopic ratios displayed strong spatial and temporal coherence (R2 = 0.99), confirming their combined effectiveness in identifying intrusion patterns. The mass-balance model based on δ18O revealed that marine water fractions exceeded 50% in the lower estuary for up to eight months annually, reaching as far as 8.5 km inland during dry periods. Complementary δD measurements provided additional insight into water origin and fractionation processes, revealing a slight excess relative to the local meteoric water line (LMWL), indicative of evaporative enrichment during anomalously warm periods. Multivariate regression models (PLS, Ridge, LASSO, and Elastic Net) identified river discharge as the primary limiting factor of intrusion, while wind intensity emerged as a key promoting variable, particularly when
aligned with the valley axis. Tidal effects were marginal under standard conditions, except during anomalous events such as tidal surges. The results demonstrate that marine intrusion is governed by complex and interacting environmental drivers. Combined isotopic and machine learning approaches can offer high-resolution insights for environmental monitoring, early-warning systems, and adaptive resource management
under climate-change scenarios
InGaZnO-Based Thin-Film Thermistors on PEEK Fabric for Green Smart Textiles
No full textElectronic textiles (e-textiles) have recently achieved outstanding results, allowing fast and reliable systems to be directly integrated into fabrics and threads. However, based on the environmental impact of these systems, the improvement of their limited End-of-Life (EoL) strategies is nowadays a major challenge. For this reason, the development of a circular technology for the realization of e-textiles, aiming at waste reduction and support of materials recycling, is highly required. Herein, an innovative and fully recyclable integration of thin-film electronics on a biocompatible polyether ether ketone (PEEK) fabric is presented. Specifically, three different configuration of InGaZnO-based thin-film thermistors are investigated, comparing their capabilities and sustainability. The devices are characterized over a temperature range from 25 to ; besides their thermal response, reliable functionality under bending stress and for NO2 gas detection are proven. To demonstrate a circular and yet green approach, the devices are dissolved in water and the textile substrate is reused for a 2 nd generation of thin-film sensors, achieving comparable performances with respect to the 1 st generation ones. This work represents a first comprehensive analysis of thin-film thermistors integrated with textiles for the realization of breathable, flexible, and recyclable e-textiles, with applications for daily routine, ranging from automotive to human health monitoring
Angular analysis of B0→ K*0e+e− decays
No full textAn angular analysis of B0→ K*0e+e− decays is presented using proton-proton collision data collected by the LHCb experiment at centre-of-mass energies of 7, 8 and 13 TeV, corresponding to an integrated luminosity of 9 fb−1. The analysis is performed in the region of the dilepton invariant mass squared of 1.1–6.0 GeV2/c4. In addition, a test of lepton flavour universality is performed by comparing the obtained angular observables with those measured in B0→ K*0μ+μ− decays. In general, the angular observables are found to be consistent with the Standard Model expectations as well as with global analyses of other b → sl+l− processes, where l is either a muon or an electron. No sign of lepton-flavour-violating effects is observed
Frequency of Workers with Active Implanted or Wearable Medical Devices Potentially Subjected to Interference Problems at the Workplaces
No full textAlmost all the workplaces determine a certain level of occupational exposure to electromagnetic fields (EMF) for the workers employed. If these workers have Active Implantable Medical Devices (AIMD) or Active Wearable Medical Devices (AWMD), they are considered at particular risk, as the possibility of an electromagnetic interference cannot be excluded a priori. We estimated the amount of workers with AIMD and AWMD to have an overall panorama of the main types of portable medical devices possibly affected by interference problems at the workplaces. We administered a survey to 132 Occupational Physicians (OPs) in Italy. The data provided by the OPs refer to a population of > 200,000 workers and indicate that the 0.8% of them can be considered as particularly sensitive to occupational EMF risk for the presence of AWMD or AIMD. The most common AWMD resulted hormones/drugs pump and hearing aids, worn by the 0.4% of the working population. Considering AIMD, the most frequent resulted cardioverter defibrillators and pacemakers, implanted in about the 0.2% of workers. In conclusion, our data indicate that a number of medical devices can be affected by potential interference problems at the workplaces, and that about the 1% of all the workers can be interested by this problem
Metabolomic profiling of SH-SY5Y Cells exposed to PFBS reveals potential neurotoxic effects
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Pilot Test to Evaluate Ergonomic Risk of Industrial Exoskeleton with Semi-autonomous Method that Relies on AzKCLI and the Equivalent Weight
No full textWork-related musculoskeletal (MSD) disorders significantly impact industrial productivity and society, particularly in the construction sector. Industrial Exoskeletons can support workers and reduce ergonomic risk. This paper proposes a semi-automatic NIOSH Composite Lifting Index calculation that combines AzKCLI and Equivalent Weight. Results analysis showed that using an exoskeleton during manual material handling can reduce the ergonomic risk by 34% when combining benefits in the required posture and effort
