Archivio Istituzionale della Ricerca - Università degli Studi della Campania "Luigi Vanvitelli"
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    Impact of Spatial Factors of Environmental Sounds on Psychological and Physiological Responses: A Virtual Reality Study on Direction and Distance

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    The acoustic environment has a significant impact on our emotional well-being and overall health. While earlier research in environmental noise and soundscape has studied acoustic/psychoacoustic and semantic factors of sound sources on human perception and emotional responses, the spatial factors of sound sources in relation to the listener remain underexplored. This gap may be attributed to the limitations of conventional experimental techniques in replicating spatial characteristics, whereas the advent of virtual reality (VR) technology provides a new opportunity to overcome these constraints. In this research, we utilised VR in a laboratory experiment involving forty-five participants across three countries to investigate the effects of spatial factors, particularly the distance and direction of sound sources, on emotional responses, assessed through both self-reported ratings and physiological measures of electrodermal activity (EDA). The results indicate that the spatial positioning of sources has statistically significant effects on emotional responses. Frontal sources are perceived as significantly more positive and elicit significantly lower EDA than lateral or rear sources (e.g., Δmax = 0.9 on 9-point scale). Closer sources are rated significantly more arousing (for both wanted and unwanted sources; Δmax = 0.7 and 0.6, respectively) and significantly more negative (for unwanted sources; Δmax = −1.3) than distant ones, even when the received sound level remains constant. The contributions of the spatial factors are comparable to, if not greater than, those of sound level. These findings provide a fundamental evidence base with wide-ranging implications, extending from urban planning, architecture, and landscape to soundscape design and beyond

    Toward Privacy-Aware Environmental Monitoring of CO2\textrm{CO}_2 and Air Pollutants in Southern Italy

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    The increasing levels of CO2 and air pollutants represent a major challenge to environmental sustainability and public health, particularly in regions characterized by complex geographic and socio-economic dynamics. This work proposes a study focused on the Southern Italy regions, where environmental vulnerabilities are displayed, along with a limited availability of high-granularity data. The main aim of this work is to build and provide a comprehensive and detailed dataset tailored to the region’s unique needs, by leveraging datasets from EDGAR for greenhouse gases and air pollutants, integrated with demographic and territorial morphology data from ISTAT. The creation of composite indicators to monitor trends in emissions and pollution on a fine spatial scale is supported by the data set. These indicators enable initial insight into spatial disparities in pollutant concentrations, offering valuable data to inform targeted policy interventions. The work provided a foundation for next analytical studies, integrating different datasets and highlighting the potential for complex spatiotemporal analysis. The study provides a robust dataset and preliminary insights, enhancing the understanding of environmental dynamics in Southern Italy. Subsequent efforts will focus on extending this methodology to more extensive geographic contexts and incorporating real-time data for adaptive monitoring. The proposed framework also lays the groundwork for privacy-aware environmental monitoring solutions, enabling future integration with edge and IoT-based architectures while addressing privacy and data protection concerns

    An algorithm for locally adaptive bivariate penalized splines

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    This paper introduces a penalized spline model for bivariate smoothing that locally adjusts to gridded data set affected by noise varying across different areas of the domain. As for all penalized spline methods, the approach requires the definition of suitable penalty terms and the selection of the regularization parameters. In our model, the regularization parameters are chosen anisotropically using a data-driven approach that adapts the roughness amount to the noise level. The proposed approach alternates the construction of univariate penalized spline based on B-spline basis functions along both coordinates, and uses a tensor product structure to capture interactions between the two dimensions. Numerical experiments confirm the efficacy of the approach, the anisotropy of the model, and the ability to locally adapt the amount of regression to different noise levels in different areas. The model is compared with two state-of-the-art smoothers, for which we also provide an original reformulation highlighting their construction as penalized splines

    Dai Borbone ai Savoia. Ritratti del potere nel Museo Campano di Capua

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    The essay focuses on the collections of portraits of the Bourbon and Savoy dynasties preserved in the Museo Campano di Capua. With regard to the first, it is recalled how it was formed and which are the most interesting works it includes; it will focus in particular on the series of portraits of the children of Charles and Maria Amalia of Saxony, reasoning on their execution and on the meaning of the symbolic elements depicted. Finally, some considerations on the Savoy portraits and on the evolution of pictorial techniques in contact with photography.Il saggio si sofferma sulle collezioni dei ritratti delle dinastie borbonica e sabauda conservate nel Museo Campano di Capua. In merito alla prima, viene ricordato come essa si è formata e quali sono le opere più interessanti che include; ci si soffermerà in particolare sulla serie dei ritratti dei figli di Carlo e di Maria Amalia di Sassonia ragionando sulla loro esecuzione e sul significato degli elementi simbolici raffigurati. Infine, qualche considerazione sui ritratti sabaudi e sull’evoluzione delle tecniche pittoriche a contatto con la fotografia

    Stokes-Brinkman equations with diffusion and convection in thin tube structures

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    The steady state Stokes-Brinkman equations coupled with a system of diffusion-convection equations in a thin tube structure is considered. The Brinkman term differs from zero only in small balls near the ends of the tubes. The boundary conditions are: given pressure and concentrations at the inflow and outflow of the tube structure, the no slip boundary condition on the lateral boundary for the fluid, and Neumann type condition on the lateral boundary for the diffusion-convection equations. In this paper, the existence, uniqueness, and stability of the solution to such a problem are proved. Moreover, some a priori norm-estimates depending on the small thickness of the tubes are also provided. This model is well suited to describing thrombosis in blood vessels

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