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Gender Stereotypes in the City: A Socio-Normative Approach
Urban space has long been associated with a unique, homogenous point of view that has overlooked the representation of gender in the city. Building on recent literature that has uncovered the potentialities of using a gendered lens for addressing the city and urban space, we offer a socio-normative approach that brings law, rights and legal stereotypes in conversation with such literature. In order to do so we will first look briefly at the reciprocal constitution of law, space and stereotypes. Then we will address examples and specific characteristics of urban space and norm/rights enjoyment, exploring different kinds of urban spaces and their theorization where gender issues and normative elements are at stake. We conclude by arguing that law, gender and urban space suffer from a reciprocal invisibilization that has greatly limited the detection of discriminatory attitudes in the urban domain as well as of practices of resistance
Advancing capability-actualization through human–robot collaboration: A strengths-based approach
Healthcare is facing intensifying demands for more holistic, equitable, and efficient care. In response, this study adopted a strengths-based approach to explore the enabling conditions individuals can leverage toward human flourishing. It introduces the concept of capability-actualization as the realization of human capabilities, understood as the process through which individuals actualize their potential, enabled by the necessary resources and the conversion factors that shape these resources into prospective enactments of a capability. This study utilizes Nussbaum’s Central Human Capabilities framework to qualitatively analyze observations and interviews showing how hospitalized individuals collaborate with a robot for capability-actualization. Specifically, it identified how the robot could be leveraged for cognitive stimulation, affective catalyzation, social connection, and creative engagement. This paper articulates these mechanisms in a conceptual model that presents capability-actualization as a strengths-based response to vulnerability. The findings advocate a shift toward a strengths-based perspective in research and practice
Lateral-directional trim for air and ground minimum control speeds evaluation in conceptual design
This paper presents the development of a comprehensive methodology for accurately estimating minimum control speeds both in the air (VMCA) and on the ground (VMCG), addressing a gap in conceptual design methodologies. These speeds are critical for appropriately sizing the rudder and vertical tailplane and ensuring controllability during one-engine-inoperative scenarios. The proposed approach integrates a nonlinear lateral-directional trim analysis and a time-domain simulation of ground manoeuvres, accounting for landing gear-runway interaction effects. The methodology facilitates a precise and rapid estimation of VMCA and VMCG while adhering to physical and regulatory constraints, making it suitable for early design iterations. It serves as a key procedure for optimising the design of aircraft with Short Take Off and Landing capabilities, which may exhibit controllability issues at near-stall speeds. A comparison of the data with those documented in the C-130J Performance Data Manual and the ATR 72–500 Flight Crew Operating Manual exhibits a close match across a wide range of operational conditions
Predicting electrical resistivity in natural degassing geological systems through petrophysical and thermodynamic data: a machine learning approach
Natural degassing geological systems have important implications for human safety, ecosystems, groundwater quality, and volcanic hazard. Therefore, their investigation and monitoring are essential for assessing the hazards associated with the upward migration of soil gases. Electrical resistivity is widely recognized as a key parameter for characterizing these systems, as it is sensitive to water saturation, gas content, and fluid temperature. However, interpreting changes in measured resistivity in terms of system dynamics remains challenging due to the complex relationships between thermodynamic and petrophysical parameters and resistivity. Most existing relationships have limited geological applicability and often rely on empirical coefficients derived from laboratory analysis. To contribute to this issue, a new machine learning approach based on a Random Forest algorithm is proposed to predict subsurface resistivity values from numerical simulations of the system dynamics. The aim is to establish a relationship between the petrophysical/thermodynamic variables of the numerical model and the 3D electrical resistivity imaging of the
study system obtained from field geophysical surveys. Such a relationship could be used to predict temporal variations in resistivity distribution in response to changes in simulated thermopetrophysical conditions. Comparison between predicted and field resistivity data would ultimately validate the current dynamics of the system, providing a powerful additional tool for resistivity monitoring of natural degassing systems. The application of the proposed approach to two CO2-dominated degassing areas in southern Italy resulted in good resistivity prediction accuracy for
both the test datasets, showing a significant improvement in resistivity prediction compared to the use of conventional techniques
Long term prognostic value of coronary atherosclerotic burden, myocardial perfusion and coronary flow capacity by 82Rb PET in patients with and without known coronary artery disease
Membro del Comitato scientifico della Rivista “Campania Sacra. Rivista di Storia Sociale e Religiosa del Mezzogiorno. Studi e Documenti”.
Presentazione del volume Discrezionalità legislativa e sindacato della Corte costituzionale M. Ruotolo (a cura di) Dipartimento di Giurisprudenza Università degli Studi di Napoli Federico II 5 marzo 2026, ore 9.30 Aula Biblioteca Guarino
Discrezionalità legislativa e sindacato della Corte costituzional
A novel system to record pulses, thrills, and bruit sounds generated by arteriovenous fistulas
Arteriovenous fistulas (AVFs) are the preferred vascular accesses for hemodialysis and are made by anastomosing an artery and a vein. The arterial blood flowing into the anastomosed vein results in abnormal infrasonic and audible vibrations of venous walls, which produce tactile and audible sensations known as thrill and bruit sounds. Physical examination of AVFs is instrumental for early detection of stenoses, but it is operator-dependent. Several measurement systems have been proposed for quantitative analysis of bruit sounds, and only a few focused on thrill. However, none of these has demonstrated that the signals acquired correspond to the thrill and bruit sounds perceived by physicians. This study presents, for the first time in literature, a novel AVF monitoring system that simultaneously records sphygmic pulses, thrills, and bruit sounds signals, also demonstrating that they share the same behaviors of tactile and audible sensations perceived by physicians. The proposed system is based on a small, non-invasive force sensor that captures both infrasonic and audible vibrations, and an ad hoc signal processing that accurately separates sphygmic pulses from thrills and bruit sounds. Experimental tests were carried out on 18 patients to assess two common behaviors observed during medical routine examinations. In particular, recordings were acquired on 3 measurement sites along the anastomosed vein, to verify the progressive amplitude reduction of thrill and bruit sounds from the anastomosis, and also their brisk amplitude reduction during vein occlusion tests. One-tailed Wilcoxon rank sum tests confirmed the expected amplitude reductions in both tests (p < 0.00001). In conclusion, the proposed AVF monitoring system accurately captures all vibrations produced by AVFs, which could be used to quantitatively evaluate the health status of patients and improve their surveillance