Parthenope University of Naples
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Improved outflow model for oil tankers following collision events and investigation of relevant statistical properties by Monte Carlo simulation
No full textThe paper focuses on the development of an improved outflow model for oil tankers following collision events and the investigation of its statistical properties by Monte Carlo simulation. After a review of the most recent advances, a new oil outflow model is developed for double hull oil tankers, based on a time-domain iterative procedure, until hydrostatic equilibrium is reached at outer and inner side openings. The model allows removing the assumptions related to the negligible dimension of the damaged area, the full loading condition of cargo tank and the detachment of the oil spillage event in a set of subsequent phases. The IMO statistics are employed for random generation of collision damage events, under different assumptions concerning the damage dimensions, assumed both uncorrelated and correlated, in the latter case by the employment of Gaussian copula functions. Two oil tankers are considered in a benchmark study, devoted to investigating the oil outflow statistical properties following collision events and comparing them with the relevant values obtained by the IMO model. The incidence of double hull width is investigated and some suggestions for the possible updating of current IMO guidelines are also provided to improve the safety of oil tankers following collision events
Environmental Spatiotemporal prediction with a Conditioned Diffusion-based Graph Attention model
No full textEnvironmental spatiotemporal prediction is crucial for air quality management, where accurate prediction of primary air pollutants is essential for public health and policymaking. This paper introduces the Conditioned Diffusion-based Graph Attention (CDGA) model, a novel Bayesian deep learning framework for spatiotemporal prediction of primary air pollutant ground-level concentrations. CDGA integrates Graph Attention Networks (GAT) and time series model order as conditioning inputs, enabling the model to capture both spatial and temporal dependencies while it provides uncertainty measures for the predictions. The proposed model is validated on two spatiotemporal benchmarks of NO2 and O3 ground-level concentrations, measured by EEA stations in Italy from 2014 to 2022. Experimental results demonstrate that CDGA outperforms state-of-the-art spatiotemporal models in terms of popular error metrics
Electrochemical Impedance-Based Modeling of an Electrolyte-Supported SOEC Short Stack
No full textThis work investigates the electrochemical behavior of an electrolyte-supported SOEC short stack under electrolysis conditions using Electrochemical Impedance Spectroscopy in which four equivalent circuit models were simulated in MATLAB to identify the one that best fits the experimental data. After IV characterization and stabilization, EIS measurements are performed and validated. Results shown best fit was obtained with a circuit composed of a series resistance, two R–CPE branches for anodic and cathodic processes, and a Warburg diffusion element on the cathode side
Les verbes néologiques de type futuriste
No full textIn this article, we analyze the futuristic neological verbs coined by Anne-Caroline Paucot, a French futurist writer who, since 2013, has explored possible futures to inform present-day actions. After introducing the author and outlining the linguistic and extralinguistic principles underlying Paucot’s lexical creativity, we present the NéoDem1 corpus and detail the theoretical frameworks used to model lexicogenic matrices and the functioning of the collected neological verbs. We then examine the morphological, semantic, and thematic structures of the linguistic and extralinguistic paradigms to which Paucot’s futuristic verbs belong, and we identify the main discursive functions guiding their creation. The aim of this study is to shed light on the lexicogenic processes that shape these verbal
units – processes situated at the intersection of grammatical and extragrammatical morphology – and to enrich existing documentation and corpora on verbal neology with new examples
Leadership inclusiva: Strategie per promuovere la parità di genere e il benessere organizzativo
No full textGovernare la complessità: il dirigente scolastico tra accountability e innovazione
No full textNegli ultimi decenni il profilo del dirigente scolastico in Italia ha conosciuto una profonda trasformazione, evolvendo da un ruolo essenzialmente amministrativo a una figura complessa che integra leadership educativa, capacità organizzative e competenze manageriali. La recente introduzione del nuovo sistema di valutazione dei dirigenti scolastici (D.lgs. n. 62/2024) ridefinisce parametri e obiettivi della performance dirigenziale, collocando al centro la necessità di coniugare accountability, qualità educativa e innovazione. L’articolo propone una riflessione articolata intorno a quattro direttrici: l’integrazione tra dimensione pedagogica e gestionale, l’analisi di buone pratiche italiane, il confronto con modelli internazionali di leadership e la ricognizione delle competenze valorizzate nei sistemi educativi di successo. L’obiettivo è delineare un quadro critico e prospettico delle sfide e delle opportunità che attendono la dirigenza scolastica, offrendo spunti per la ricerca, la formazione e lo sviluppo professionale