Parthenope University of Naples
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Sistemi di intelligenza artificiale in medicina verso lo Spazio europeo dei dati sanitari. Un dialogo multidisciplinare
No full textBibliometric Analysis of Research on Nanoplastics (NPs): Uptake, Bioaccumulation, and Cellular Internalization in Scientific Literature
No full textSeismic response of URM buildings accounting for soil-foundation structure interaction adopting lumped parameter models
No full textThis paper evaluates and discusses the seismic response of unreinforced masonry buildings accounting for soil-foundation-structure interaction. A new strategy to model soil-foundation-structure interaction is firstly developed adopting a lumped parameters approach. A case study masonry building is selected, together with the foundation layout and soil profile. Lumped parameters models for the foundation of each masonry panel are then calibrated from 3D frequency domain analysis and applied at the base of the considered building, modelled by means of an equivalent-frame strategy. The lateral capacity of the entire building is assessed by pushover analyses, also allowing the estimation of relevant thresholds of a properly selected engineering demand parameter.
Multi-stripe nonlinear dynamic analyses, carried out for different earthquake’s return periods, are finally performed to define the demand. Results obtained allow to assess the building’s performance and its modification due to the consideration of soilfoundation-structure interaction
Machine Learning-Based Algorithm for 1-D Wave Spectrum Retrieval From SAR Imagery as Passing Oceanic Eddy
No full textThe inversion of the 1-D wave spectrum from dual-polarized synthetic aperture radar (SAR) data is performed using machine learning methods, namely, random forest (RF), eXtreme Gradient Boosting (XGBoost), support vector regression (SVR), and convolutional neural networks (CNNs). This process incorporates an improved hydrodynamic modulation transfer function (MTF), calibrated with more than 8000 Sentinel-1 (S-1) Ground Range Detected (GRD) images from 2021 to 2024, to account for shear currents induced by oceanic eddies. This study primarily aims to identify the differences between algorithms for 1-D wave spectrum retrieval from S-1 SAR image as passing oceanic eddy and examine the characteristics of sea surface waves change observed by SAR passing through oceanic eddies. SAR retrievals are compared with significant wave heights (SWHs) from Haiyang-2 (HY-2) altimeter and wave spectrum from the Surface Wave Investigation and Monitoring (SWIM) and National Data Buoy Center (NDBC) buoys. The XGBoost model is established as superior for retrieving 1-D wave spectra and SWH, recording the lowest root mean squared error (RMSE) (0.33 m versus SWIM, 0.30 m versus HY-2, and 0.68 m versus Buoy) and highest correlation in validation. Applied to a North Atlantic case study, it effectively derives sea states from the S-1 image. This high-resolution analysis reveals that oceanic eddies significantly amplify wave energy, resulting in elevated SWH inside their cores. While model accuracy declines in high kinetic energy eddies, the SAR-derived retrievals maintain reliability across eddy-affected regions
Advanced Fleet Management Systems: IoT and GVRP for Greener Logistics
No full textThis study examines the integration of Internet of Things (IoT) and Green Vehicle Routing Problems (GVRP) to create modern, eco-friendly fleet management system that overcomes the limitations of traditional system through real-time data analytics, predictive maintenance, and optimized decision-making. While existing research on GVRP focuses on theoretical route optimizations, reductions in fuel consumption and greenhouse gas emissions, incorporating real-time IoT data can further aid in measuring these impacts accurately, and understanding their combined potential. In this novel study, the proposed system integrates Teltonika FMC003 telematics device, cloud computing, and GVRP algorithms to promote sustainable and cost-effective advanced fleet management
Experimental Study on Durability Properties of Densified Small Particles Based Concrete
No full textExisting masonry structures can be strengthened and renovated to increase safety, extend service life, and save huge expenses by using high strength cement based composite materials. The most common material used in construction is concrete. The main difference between ordinary concrete and high-performance concrete is the use of chemical and mineral admixtures. Micro-silica particles and additional superplasticizers are added to concrete to create “high performance densified small particles-based concrete” (HPDSPC). It provides enough filling and strong structural support. In general, adding fibers to concrete increases the fiber's tensile strain, which enhances the composites’ ability to absorb energy, ductility, and cracking behavior in addition to their durability. This paper describes an examination on the durability characteristics of grade M70 concrete based on densified small particles with straight steel fibers covered in brass. On HPDSPC mix containing 0% and 9% steel fibers, durability tests including acid resistance, alkaline resistance, chlorides resistance, fast chloride penetration, and water absorption were carried out for 28, 56, and 90 days. Based on the obtained data, the HPDSPC mix with 9% fibers has greater durability attributes than the HPDSPC mix without fibers. Applications of HPDSPC have been shown with a focus on piers, slabs, beams, and columns made of masonry
Exploring the Potential of Microbial Exopolysaccharides as Innovative and Eco-Friendly Cleansing Agents: A Review
No full textMicrobial exopolysaccharides (EPS) are high molecular weight carbohydrate polymers secreted by bacteria, fungi, and algae, representing an important class of bio-based materials with wide ranging industrial and environmental applications. These polymers are broadly classified into capsular polysaccharides, which remain tightly bound to the microbial cell surface, and slime polysaccharides, which are released into the extracellular medium. The structural diversity of EPS, determined by variations in monosaccharide composition, glycosidic linkages, molecular weight, and functional group substitutions, confers unique physicochemical properties such as viscosity modulation, emulsification, flocculation, and gel formation. Such properties are further complemented by biological activities including antimicrobial effects, biofilm formation, metal ion chelation, and strong biocompatibility, rendering EPS suitable as environmentally friendly cleansing agents in diverse sectors. Beyond their inherent biodegradability and safety, microbial EPS hold promise as sustainable alternatives to chemical surfactants and synthetic polymers in cleaning formulations, wastewater treatment, soil remediation, and biomedical hygiene. This review critically examines the structural complexity, biosynthetic mechanisms, and multifunctional applications of microbial EPS, with particular focus on their emerging role as eco-friendly cleansing agents. It further explores optimization strategies, technological interventions, and future research directions needed to overcome production bottlenecks, improve scalability, and establish standardized evaluation protocols, thereby paving the way for their wider industrial adoption
SOCIO-EMOTIONAL SKILLS AS A CORNERSTONE OF HUMAN CAPITAL: INSIGHTS FROM AN ITALIAN PILOT STUDY
No full textUnraveling real-time mobile connectivity paradox and emotional ambivalence: a quasi-experimental design from a multi-source perspective
No full textAiuti di Stato, finanza e sostenibilità: il Soft Law della Commissione europea
No full textNel mercato finanziario dell’UE il Soft Law assume un rilievo fondamentale, con particolare riguardo alla finanza sostenibile. In tale ambito la Commissione europea orienta l’attività dei diversi stakeholder mediante alcuni atti di indirizzo finalizzati al finanziamento della transizione economica in termini di sostenibilità, realizzando una nuova fase di partnership pubblico-privato. L’incremento degli investimenti pubblici e privati ha la funzione fondamentale di colmare il deficit di finanziamento collegato ai maggiori costi della sostenibilità. Esso si realizza mediante modelli regolatori non vincolanti e raccomandazioni dettagliate, che condizionano e orientano la normativa statale e l’attività dei privati in virtù della base consensuale e partecipativa, determinando un notevole risparmio di risorse ed un veloce raggiungimento degli obiettivi di sostenibilità ambientale, economica e sociale.In the EU financial market, Soft Law plays a fundamental role, with particular regard to sustainable finance. In this context, the European Commission guides the activity of the various stakeholders through some guidelines aimed at financing the economic transition in terms of sustainability, creating a new phase of public-private partnership. The increase in public and private investments has the fundamental function of filling the funding gap linked to the higher costs of sustainability. This is achieved through non-binding regulatory models and detailed recommendations, which condition and orient national legislation and the activity of private individuals because of consensus and participation. This determines a significant saving of resources and a rapid achievement of the objectives of environmental, economic and social sustainability