Archivio Istituzionale della Ricerca- Università del Salento
Not a member yet
80217 research outputs found
Sort by
Hygro-Thermal Coupling Effect on the Magneto-Mechanical Response of Curved Laminated Structures
No full textThis paper presents a refined two-dimensional model, based on higher-order theories, for the hygro-thermo-magneto-mechanical analysis of doubly-curved laminated shell structures. The formulation employs a generalized kinematic model with zigzag functions, and it uses curvilinear principal coordinates to describe the geometry of the panel. The model allows us to assess arbitrary values of the multifield unknown variables, due to their description by using the Equivalent-Layer-Wise approach. The multifield analysis considers the coupling between various physical effects, including hygro-thermal, piezomagnetic, pyromagnetic, and hygro-magnetic constitutive interactions. The panel rests on an elastic foundation modelled with the Winkler-Pasternak theory. Furthermore, each layer is homogenized with proper analytical expressions and it is treated as a continuum material. The fundamental equations are solved analytically using the Navier method, while a recovery procedure based on three-dimensional balance equations reconstructs the multifield primary and secondary variable distribution in the post-processing stage. The method adopts the generalized differential and integral quadrature to solve the equations. Numerical examples demonstrate the accuracy and the efficiency of the theory compared to more computationally demanding three-dimensional solutions obtained with a commercial finite element software. Furthermore, parametric studies explore the sensitivity of governing parameters, considering various curvatures and lamination schemes, load shapes, and load combinations. The model serves as a useful tool for investigating the multifield response of curved laminates with simplicity and less computational effort. It can be used for exploring new insights into the multifield coupling effects that are not considered in commonly used software for multifield analysis
Arrivals and departures: exploring sea slug diversity (Mollusca, Gastropoda) in the Salento Peninsula harbours
No full textThis study investigates the Heterobranchia species present in the harbours of the Salento Peninsula, in southern Italy, in the central Mediterranean Sea. A total of 158 specimens from 21 families and 54 species were recorded from 2020 to 2025, including five non-indigenous species (NIS): Anteaeolidiella lurana, Bermudella polycerelloides, Camachoaglaja africana, Polycera hedgpethi and Stiliger cf. auarita. Among the total 54 Heterobranchia species, one is a new record for the Mediterranean Sea; five are new records for the Ionian and/or Adriatic Seas; and 12 species are added to the Salento Peninsula fauna. The finding of about one-third of the total number of species known for the Salento Peninsula, from ports and marinas is noteworthy and emphasizes the need for continuous monitoring of areas under anthropological stress for early warning of NIS and of neglected endemic diversity. The methodology used to collect heterobranchs in these restricted access habitats revealed to be powerful and effective to unravel small and difficult-to-see organisms such as most of the species here recorded. This research contributes to expanding the knowledge of marine Heterobranchia biodiversity enhancing the known Mediterranean diversity and shedding light on anthropized and poorly known environments such as harbours and marinas
Integrating real-time monitoring and dispersion modelling to evaluate vehicular emission impacts in urban environments: a case study in Southern Italy
No full textUn modello a supporto della pianificazione strategica per la valorizzazione dei centri storici
No full textThis study presents a fuzzy logic-based decision model for planning sustainable development policies of historic centers. The model is structured around two composite indicators, namely Sustainable Development and Territorial Enhancement and Quality and Attractiveness of Historic Centers, each composed of sub-indicators grouped into thematic pillars. Given the relevance of qualitative and uncertain data in administrative decision-making, a Fuzzy Expert System is employed to manage imprecise or incomplete information and to systematically integrate quantitative and qualitative inputs. Applied to the historic center of Matino (Puglia, Italy), the model proves effective in identifying strategic priorities and supporting urban regeneration policies aligned with stakeholder perspectives and local needs
LORENTZIAN BCV SPACES: PROPERTIES AND GEOMETRY OF THEIR SURFACES
No full textWe investigate the Lorentzian analogues of Riemannian Bianchi-Cartan-Vranceanu spaces. We provide their general description and emphasize their role in the classification of three-dimensional homogeneous Lorentzian manifolds with a four-dimensional isometry group. We then illustrate their geometric properties (with particular regard to curvature, Killing vector fields and their description as Lorentzian Lie groups) and we study several relevant classes of surfaces (parallel, totally umbilical, minimal, constant mean curvature) in these homogeneous Lorentzian three-manifolds
A Resilient Energy-Efficient Framework for Jamming Mitigation in Cluster-Based Wireless Sensor Networks
No full textThis paper presents a resilient and energy-efficient framework for jamming mitigation in cluster-based wireless sensor networks (WSNs), addressing a critical vulnerability in hostile or interference-prone environments. The proposed approach integrates dynamic cluster reorganization, adaptive MAC-layer behavior, and multipath routing strategies to restore communication capabilities and sustain network functionality under jamming conditions. The framework is evaluated across heterogeneous topologies using Zigbee and Bluetooth Low Energy (BLE); both stacks were validated in a physical testbed with matched jammer
and traffic conditions, while simulation was used solely to tune parameters and support sensitivity analyses. Results demonstrate significant improvements in Packet Delivery Ratio, end-to-end delay, energy consumption, and retransmission rate, with BLE showing particularly high resilience when combined with the mitigation mechanism. Furthermore, a comparative analysis of routing protocols including AODV, GAF, and LEACH reveals that hierarchical protocols achieve superior performance when integrated with the proposed method. This framework has broader applicability in mission-critical IoT domains, including environmental monitoring, industrial automation, and healthcare systems. The findings confirm that the framework offers a scalable and protocol-agnostic defense mechanism, with potential applicability in mission-critical and interference-sensitive IoT deployments
Redesigning Learning in the Digital Age: Rethinking Pedagogy, Inclusion, and Cognitive Engagement through Innovation
No full textForehead and in-ear EEG acquisition and processing: biomarker analysis and memory-efficient deep learning algorithm for sleep staging with optimized feature dimensionality
No full textAdvancements in electroencephalography (EEG) technology and feature extraction methods have paved the way for wearable, non-invasive systems that enable continuous sleep monitoring outside clinical environments. This study presents the development and evaluation of an EEG-based acquisition system for sleep staging, which can be adapted for wearable applications. The system utilizes a custom experimental setup with the ADS1299EEG-FE-PDK evaluation board to acquire EEG signals from the forehead and in-ear regions under various conditions, including visual and auditory stimuli. Afterward,
the acquired signals were processed to extract a wide range of features in time, frequency, and non-linear domains, selected based on their physiological relevance to sleep stages and disorders. The feature set was reduced using the Minimum Redundancy Maximum Relevance (mRMR) algorithm and Principal Component Analysis (PCA), resulting in a compact and informative subset of principal components. Experiments were conducted on the Bitbrain Open Access Sleep (BOAS) dataset to validate the selected features and assess their robustness across subjects. The feature set extracted from a single EEG frontal
derivation (F4-F3) was then used to train and test a two-step deep learning model that combines Long Short-Term Memory (LSTM) and dense layers for 5-class sleep stage classification, utilizing attention and augmentation mechanisms to mitigate the natural imbalance of the feature set. The results—overall accuracies of 93.5% and 94.7% using the reduced feature sets (94% and 98% cumulative explained variance, respectively) and 97.9% using the complete feature set—demonstrate the feasibility of obtaining a reliable classification using a single EEG derivation, mainly for unobtrusive, home-based sleep monitoring systems
Vaste - Fondo Giuliano 2025
No full textCampagna primaverile 2025, incentrata sullo studio del luogo di culto precristiano e sulle indagini nell'area al di sopra della grotticella D (cluster di tombe della fase IV-VI sec. d.C.
Search for a heavy charged Higgs boson decaying into a W boson and a Higgs boson in final states with leptons and b-jets in sqrt(s) = 13 TeV pp collisions with the ATLAS detector
No full textThis article presents a search for a heavy charged Higgs boson (H±) produced in association with a top quark and a bottom quark (tbH±), and decaying into a W boson and a 125 GeV Higgs boson (h). The search is performed in final states with one charged lepton (l±), missing transverse momentum (ETmiss), and jets (including b-jets) using proton-proton collision data at sqrt(s)=13 TeV recorded with the ATLAS detector during Run 2 of the LHC at CERN. This data set corresponds to a total integrated luminosity of 140 fb-1. The search is conducted by examining the reconstructed invariant mass distribution of the Wh candidates for evidence of a localised excess in the charged Higgs boson mass range from 250 GeV to 3 TeV. No significant excess is observed and 95% confidence-level upper limits between 2.8 pb and 1.2 fb are placed on the production cross-section times branching ratio for charged Higgs bosons decaying into Wh