Parthenope University of Naples

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    Aspects polysémiques en diachronie du terme espèce

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    Hyperspectral Pansharpening: Critical review, tools, and future perspectives

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    Hyperspectral (HS) pansharpening consists of fusing a high-resolution panchromatic (PAN) band and a low-resolution HS image to obtain a new image with high resolution in both the spatial and spectral domains. These remote sensing products are valuable for a wide range of applications, driving ever-growing research efforts. Nonetheless, results still do not meet application demands. In part, this comes from the technical complexity of the task: compared to multispectral (MS) pansharpening, many more bands are involved, in a spectral range only partially covered by the PAN component and with overwhelming noise. However, another major limiting factor is the absence of a comprehensive framework for the rapid development and accurate evaluation of new methods. This article attempts to address this issue. We started by designing a dataset large and diverse enough to allow reliable training (for data-driven methods) and testing of new methods. Then, we selected a set of state-of-the-art (SoTA) methods, following different approaches characterized by promising performance, and reimplemented them in a single PyTorch framework. Finally, we carried out a critical comparative analysis of all methods, using the most accredited quality indicators. The analysis highlights the main limitations of current solutions in terms of spectral/spatial quality and computational efficiency, and it suggests promising research directions. To ensure full reproducibility of the results and support future research, the framework (comprising methods and assessment codes and dataset setup procedures) is shared on https://github.com/matciotola/hyperspectral-pansharpening-toolbox, as a single Python-based reference benchmark toolbox

    COBRA web application to benchmark linear regression models for catalyst optimization with few-entry datasets

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    Multivariate linear regression (MLR) is a promising machine learning tool for catalyst engineering with small datasets. In order to become the standard in medium to small laboratories, MLR predictors must work with minimal experimental data and provide reliable predictions. To evaluate MLR predictors trained on limited datasets, we developed an easy-to-use workflow to validate models before real-world application. This workflow was tested on 29 reaction classes, covering various reaction types (e.g., hydrogenation and cross-coupling) and experimental properties (e.g., yields and selectivities). We confirm that common metrics like coefficient of determination (R2) and cross-validated R2 (Q2) are useful starting points but insufficient to uncover all model weaknesses. The proposed workflow offers a systematic pipeline applicable to any MLR model, addressing these gaps. Additionally, a web application was developed to enable users to perform these validation tests online. This framework aims to standardize and simplify the evaluation of MLR predictors in catalyst research

    Rethinking creative cities for urban innovation and future

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    Cities are rethinking on a creative-driven planning to support urban social growth, leading to urban redevelopment, and empowering urban communities to proactively co-create urban value and contribute to social urban innovation. Designing the city of the future relies on promoting a creative city which will be able to engender collaborative frameworks that support social innovation issues. Culture-driven and creative-led initiatives help shape creative community-oriented and collaborative-led urban change within urban spaces, socially innovative and inclusive meeting places for community participation, engagement and involvement. Rethinking on creative cities leads to communities which are driving urban innovation by planning for working collaboratively. The study aims to elucidate how cities are rethinking on planning urban creative future, leading to socially collaborative practices that develop urban innovation

    Formare all’inclusione per il fronteggiamento delle povertà educative

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    Costruire azioni formative in contesti caratterizzati dalla povertà educativa implica contemplare molteplici livelli di complessità, ponendo il tema dell’emergenza in un’ottica di sistema; il disagio, la marginalità, il rischio sociale non costituiscono fenomeni che possono essere disgiunti dalle condizioni ambientali e di contesto all’interno delle quali essi si esprimono. Tuttavia, allo stesso modo, la discussione sulla povertà educativa non dovrebbe esprimersi nella riproposizione di idee sostanzialmente stereotipate, secondo le quali l’impoverimento o lo svuotamento di “sostanza educativa” nell’ambito delle relazioni sociali fondamentali sia un esito rintracciabile prevalentemente all’interno di quei contesti e territori caratterizzati da difficoltà socio-economiche, ignoranza o arretratezza culturale. Pertanto, intervenire nei contesti formativi con l'intento di contrastare le povertà educative, implica che, sul versante metodologico, si focalizzi l’attenzione non sul problema dei soggetti in formazione come dato oggettivo, ma sulla soggettività dell’educatore che dialoga con la soggettività dell’educando, ovvero sulle problematiche, sui pensieri, sulle condizioni di relazione che costituiscono le variabili nascoste che tacitamente influenzano e dirigono gli esiti formativi. La diffusione di una cultura dell’educazione che segua tale idea di fondo diventa, dunque, un tassello centrale e non eludibile per la costruzione delle figure che a vario titolo partecipano alla configurazione e al sostegno dei percorsi educativi

    Fragility curves for out-of-plane failure mechanisms of masonry wall typologies in the archaeological sites: A focus on T-shaped elements in Pompeii

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    The assessment of the safety conditions of the archaeological heritage under horizontal actions induced by different hazards is crucial to preserve its cultural value. Out-of-plane (OOP) failure mechanisms in archaeological remains can be easily activated, even for low-intensity seismic actions, due to the lack or poor quality of the connections between the masonry elements that compose the remains. The analytical approaches usually adopted to investigate the OOP response of masonry buildings can be used with some modifications to account for some specific features of the archaeological remains, as irregular shapes, lacking floors, overlapping of different construction materials and techniques, ageing of materials over very long time. In this framework, the paper presents the application of a limit analysis-based approach to some typological classes of masonry elements representative of the most frequent ones in archaeological sites, with a specific focus on the typologies in the Pompeii Archaeological Park. A classification of archaeological walls is initially proposed based on a few morphological and typological criteria; it aims at uniquely defining different typologies and their vulnerability to several OOP mechanisms. Then, one of the most recurring typologies in the Pompeii Archaeological Park (i.e., T-shaped wall system) is deeply analysed; limit analysis is carried out to investigate the influence of geometrical and mechanical parameters on its vulnerability to the simple rocking-sliding mechanism, also by varying the level of mutual connections between orthogonal walls. A large database of T-shaped wall systems with three increasing levels of connection is generated (a sample of 1320 elements generated for each connection type) and examined to build fragility curves in terms of OOP seismic capacity. Finally, fragility curves for some subsets of T-shaped wall systems, based on some geometrical parameters, are presented in order to provide homogeneous OOP vulnerability classes. This study represents the kick-off step in defining a new methodological approach to assess the seismic vulnerability of archaeological remains to OOP mechanisms, eventually extendable to any archaeological context

    Assessing electron radiation impact on long period gratings: radiation saturation and recovery insights

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    In this study, we investigate the limitations of long period gratings (LPG) by exposing them to 5.5 MeV electrons, delivering a total dose exceeding 190 kGy while the data is recorded in real time. To better understand the effects of radiation based on fiber composition, different commercially available optical fibers were selected, namely standard SMF28, B-Ge co-doped fiber, pure-silica core fiber, and P-doped fiber. To gain a deeper understanding of the advantages and limitations of using this technology in specific applications, we also examined the long-term recovery of the devices after exposure, with intermediate assessments at up to twelve months’ time. The main findings reveal that the LPG in B-Ge co-doped fiber remains responsive up to the full accumulated dose, with a resonance wavelength shift exceeding 35 nm and no signs of saturation. Furthermore, we demonstrated its potential for long-term data storage, with a 45% recovery toward initial values following post-irradiation stabilization. The novelty of this study relies in testing the limitations of LPGs fabricated both in sensitive and radiation hardened fibers while focusing on their potential i) to be reused post-irradiation and ii) to exhibit long-term data storage capabilities

    Retrospective analysis of preventable procedural adverse events (ICD-10 Y62–Y69) in the TriNetX network: a multiregional study before, during and after the COVID-19 pandemic

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    Background: Healthcare-related procedural misadventures remain underreported despite decades of investment in patient safety. International Classification of Diseases, 10th Revision (ICD-10) codes Y62-Y69 capture defined preventable adverse events during medical and surgical care. This study aimed to examine temporal patterns in Y62-Y69-coded events using aggregated, precomputed data from the TriNetX Global Collaborative Network. Methods: We conducted a retrospective observational study using deidentified electronic health records from the TriNetX platform, encompassing over 135 million patients aged 0-89 (years: 2016-2024). Incidence rates for Y62-Y69-coded events were analysed globally and across four regional networks, USA, Europe-Middle East-Africa (EMEA), Asia-Pacific (APAC) and Latin America (LATAM), with additional sensitivity analyses in cardiovascular (ICD-10: I00-I99) and oncological (ICD-10: C00-D49) cohorts. Temporal trends were explored descriptively using polynomial regression (for visual pattern illustration) and the Mann-Kendall trend test. Findings: Globally, Y62-Y69 incidence rates increased from 0.04 to 0.09 per 100 000 patients between 2016 and 2024 (125% increase), with inflection in the early postpandemic phase. EMEA exhibited the steepest rise (414%), followed by APAC (225%). The USA showed a non-linear pattern detectable only through polynomial modelling. LATAM and APAC trends lacked statistical significance, likely due to high year-to-year variability. Sensitivity analyses in the disease-specific cohorts reflected similar patterns, reinforcing the consistency of findings. Interpretation: This is the first global, real-world analysis of ICD-10 Y62-Y69-coded adverse events. The findings reveal a notable postpandemic escalation in procedural harm, underscoring the fragility of safety systems under operational stress. Regional heterogeneity and non-linear trajectories highlight the importance of locally tailored interventions and the need to reinvigorate global patient safety efforts. Data availability statement: All data were extracted from the TriNetX Global Collaborative Network. Aggregated incidence rates and the R code used for statistical analysis are provided in online supplemental file 2

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    Archivio della ricerca - Università degli studi di Napoli "Parthenope"
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