Parthenope University of Naples
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L’amministrazione che realizza e acquista opere d’arte: genesi e prassi della legge del 2% e proposte di coordinamento con il codice dei contratti pubblici
No full textLa legge n. 717/1949 prevede l’obbligo, in capo alle amministrazioni pubbliche, di destinare una quota pari al 2% dell’importo complessivo dei lavori per nuove costruzioni civili alla realizzazione di opere d’arte. Nonostante le finalità dichiarate di promozione culturale e valorizzazione del patrimonio artistico contemporaneo, l’applicazione della norma risulta, nella prassi, estremamente limitata. Tale criticità appare riconducibile, in larga parte, alla mancata armonizzazione tra la disciplina speciale della “legge del 2%” e la normativa generale in materia di contratti pubblici. Il contributo ricostruisce l’evoluzione storica e normativa dell’istituto, soffermandosi
sull’attuale quadro regolatorio e sulle linee guida ministeriali che ne orientano l’attuazione. Vengono inoltre analizzate le prassi operative seguite dalle amministrazioni nelle fasi di progettazione e affidamento delle opere artistiche, evidenziando le principali problematiche applicative. Il contributo propone alcune forme di integrazione normativa con il Codice dei contratti (d.gs. n. 36/2023), volte a promuovere una più ampia e coerente attuazione della legge, in linea con i suoi obiettivi originari
The environmental dimension of sustainable well-being and firm performance: an empirical study of Italian provinces
No full textRadio Frequency Ablation of Liver Tissue Assisted by Saline Infusion: Computational Modeling and Experimental Assessment
No full textRadio frequency ablation (RFA) is a widely assessed technology for minimally invasive tumor treatments. To overcome the RFA limitations in the maximum treatable lesion size, saline infusion during the treatment can be used. In this work, for the first time, the porosity model simulating the effect of saline infusion on RFA performance is integrated and validated with temperature experimental data recorded by fiber Bragg grating sensors (FBGs). The experiments have been performed on ex-vivo liver tissue. The comparison between simulations and measurements confirms consistent results in terms of temperature distribution and ablation margin size. Results show the effectiveness of saline solution to extend ablation margins and mitigate burn risks. The proposed combined approach enables to customize the RFA settings, reducing the need for preliminary in vivo or ex-vivo tests and optimizing therapeutic outcomes in terms of ablation precision and preservation of the adjacent anatomical structures from thermal damage
Physical Education and Inclusive Teaching: UDL Model
No full textSchool inclusion represents a central challenge in the field of
physical education, where the motor, cognitive and socio-emotional diversity
of students requires a flexible and accessible teaching approach. The UDL
(Universal Design for Learning) Model offers a theoretical and operational
framework for designing inclusive motor activities, able to meet the needs of
all pupils, enhancing their potential and learning styles. This paper explores
the application of the UDL Model in physical education, highlighting
strategies, tools, and best practices to promote participation, motivation, and
educational success in an equitable and inclusive educational environment
Flow Matching for Simulation-Based Inference: Design Choices and Implications
No full textInverse problems are ubiquitous across many scientific fields, and involve the determination of the causes or parameters of a system from observations of its effects or outputs. These problems have been deeply studied through the use of simulated data, thereby under the lens of simulation-based inference. Recently, the natural combination of Continuous Normalizing Flows (CNFs) and Flow Matching Posterior Estimation (FMPE) has emerged as a novel, powerful, and scalable posterior estimator, capable of inferring the distribution of free parameters in a significantly reduced computational time compared to conventional techniques. While CNFs provide substantial flexibility in designing machine learning solutions, modeling decisions during their implementation can strongly influence predictive performance. To the best of our knowledge, no prior work has systematically analyzed how such modeling choices affect the robustness of posterior estimates in this framework. The aim of this work is to address this research gap by investigating the sensitivity of CNFs trained with FMPE under different modeling decisions, including data preprocessing, noise conditioning, and noisy observations. As a case study, we consider atmospheric retrieval of exoplanets and perform an extensive experimental campaign on the Ariel Data Challenge 2023 dataset. Through a comprehensive posterior evaluation framework, we demonstrate that (i) Z-score normalization outperforms min–max scaling across tasks; (ii) noise conditioning improves accuracy, coverage, and uncertainty estimation; and (iii) noisy observations significantly degrade predictive performance, thus underscoring reduced robustness under the assumed noise conditions
The importance of making sport sustainable
No full textIn the last few decades, climate change has become a real crisis with important consequences on many socioeconomic contexts, such as the sport sector. In fact, sports training and competitions are more and more threatened by extreme weather events and hot temperatures. Since the social and individual benefits of sport are well known, this could lead to further negative consequences. At the same time, sports industry and the other sport-related sectors such as sponsorship, apparel, media, and travel sectors contribute to the environmental crisis. Therefore, substantial changes are needed in this setting, in order to adapt the sport activities to the changing climate and to achieve sustainability
Biomass-Based CCHP System: Feasibility for Historic Buildings
No full textThis study analyzes a biomass combustion based polygeneration system integrated with a historical building from the 10th century “Sant’ Apollinare” located in Perugia, Italy. The integrated polygeneration system includes an externally fired gas turbine for electricity production, a biomass dryer, a series of heat exchangers to recover thermal energy from the exhaust gases to meet the understudy building’s energy requirements, and a bottoming cycle specifically an Organic Rankine Cycle (ORC).The study assesses an energy perspective of the proposed polygeneration system. The analysis is carried out using two simulation software’s. The biomass combustion, drying and electrical energy generation systems are developed in Aspen Plus, whereas the remaining CCHP system is developed in TRNSYS simulation software. This study demonstrates the feasibility of a biomass-based CCHP system in a historic building, providing insights for various end-user’s applications. The system offers potential electrical and thermal energy for diverse applications, including hydrogen production from excess electricity. This research promotes sustainable energy solutions in heritage structures
