Parthenope University of Naples
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Italian NEET rates in the 2012 to 2021 years: comparing different forecasting techniques
No full textFor many years, Italy has reported the highest NEET rates among EU countries—that is, the share of young people
Not in Employment, Education, or Training. Between 2012 and 2021, several events influenced Italy's NEET rates, ncluding the recovery from the 2007-2010 financial and economic crisis, the COVID-19 pandemic, and recent labour market reforms, such as the Youth Guarantee and the Citizenship Income. Furthermore, the digital and green transitions have significantly reshaped labour market dynamics, affecting both how individuals work and how they interact with one another. Although NEET rates have declined across Europe, the reduction in Italy has been less marked compared to the EU-27 average. Understanding the determinants of these dynamics and producing accurate forecasts is essential, as it can help identify best practices to accelerate NEET reduction. Traditional statistical analyses can only partially meet these needs, due to the complexity of the phenomenon and the underlying assumptions, such as the linearity relationships. In this paper, in addition to employing 2 modem time series approach, we adopted three advanced statistical techniques from the field of machine learning: regression trees, random forests, and XGBoost algorithms. The findings provide 2 clear identification of the main NEET related factors, while the analysis of the predictive accuracy of the models in an out-of-sample framework reveals heterogeneous results, with the random forest performing slightly better overall
Timescapes of brand co-creation: A time-based multi-stakeholder place branding framework
No full textThe inverse obstacle problem for nonlinear inclusions
No full textThe Monotonicity Principle (MP), stating a monotonic relationship between a material property and a proper corresponding boundary operator, is attracting great interest in the field of inverse problems, because of its fundamental role in developing real time imaging methods. Moreover, under quite general assumptions, a MP for elliptic PDEs with nonlinear coefficients has been established. This MP provided the basis for introducing a new imaging method to deal with the inverse obstacle problem, in the presence of nonlinear anomalies. This constitutes a relevant novelty because there is a general lack of quantitative and physic based imaging method, when nonlinearities are present. The introduction of a MP based imaging method poses a set of fundamental questions regarding the performance of the method in the presence of noise. The main contribution of this work is focused on theoretical aspects and consists in proving that (i) the imaging method is stable and robust with respect to the noise, (ii) the reconstruction approaches monotonically to a well-defined limit, as the noise level approaches to zero, and that (iii) the limit contains the unknown set and is contained in the outer boundary of the unknown set. Results (i) and (ii) come directly from the MP, while result (iii) requires to prove the so-called Converse of the MP, a theoretical result of fundamental relevance to evaluate the ideal (noise-free) performances of the imaging method. The results are provided in a quite general setting for Calderón problem, and proved for three wide classes where the nonlinearity of the anomaly can be either bounded from infinity and zero, or bounded from zero only, or bounded by infinity only. These classes of constitutive relationships cover the wide majority of cases encountered in applications
The role of the institutional supply chain in the transition from the linear to the circular paradigm: The Italian case
No full textPrevious studies have highlighted the role of institutions among the drivers that favour the transition from the linear to the circular economy model. However, these studies tend to exclude the institutional supply chain and its correct functioning (i.e., ‘good administration’). Thus, this study aims to analyse the effect of good administration on the two main phases of the circular economy paradigm in the waste sector in Italy. In this context, we propose an original good administration index (GAI) of public administration whose purpose is to capture the financial and organisational components of public administration staff. The analysis was conducted on data from 103 Italian provinces from 2008 to 2019. The results show that the GAI is key for achieving the upstream and downstream goals of the circular economy in the waste sector
Supervisory controller for minimizing fuel consumption and NOx emissions of plug-in hybrid electric vehicles operating in zero-emission zones
No full textThe Role of Lung Sliding Amplitude in Mechanical Ventilation Settings: A Step Forward in Personalized Medicine
No full textOptical Fiber Probe Based on Localized Surface Plasmon Resonance of Gold Nanostructures for Chemical Sensing
No full textIn this study, we present an experimental investigation of highly sensitive optical fiber sensors utilizing localized surface plasmon resonance (LSPR), achieved by depositing gold nanoparticles (NP) onto uncladded silica multi-mode fiber. This setup takes advantage of the unique optical characteristics of optical fiber sensors and plasmonic resonance provided by gold NPs. The experimental results demonstrated a maximum sensitivity of about 130 nm/RIU in water solution, for an LSPR wavelength at 560 nm. As a study case, the sensor was used to detect Thiram, a common agricultural pesticide, exhibiting a wide detection range from 10 nM to 100 μM, with a significant wavelength shift up to 4 nm. Moreover, a preliminary study involving the use of nanostar-based optical fiber sensors is comparatively provided. The highest sensitivity makes this approach highly promising for a range of applications, including environmental monitoring, biomedical diagnostics, and chemical detection
ARTE E RIGENERAZIONE URBANA PER LA COESIONE, L’INCLUSIONE SOCIALE, TERRITORIALE E CULTURALE: VERSO UN NUOVO MODELLO DI SVILUPPO URBANO?*
No full textIl saggio analizza il ruolo dell’arte nei processi di rigenerazione urbana e sociale quale strategia di trasformazione del territorio fondata sulla stabile efficiente e produttiva collaborazione con le comunità e il pilastro su cui rifondare il rapporto tra cultura, territorio ed economia e costruire un nuovo modello di sviluppo urbano sostenibile.The essay analyzes the role of art in urban and social regeneration processes as a strategy for territorial transformation based on stable, efficient and productive collaboration with communities and the pillar on which to re-establish the relationship between culture, territory and economy and build a new model of sustainable urban development