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La linguistica migratoria. Dinamiche, itinerari, identità
No full textIl volume esamina le dinamiche dei flussi migratori in una prospettiva storica e contemporanea, proponendo una lettura della variazione linguistica in contesto migrato con parametri di analisi innovativi e metodi di ricerca precipui della sociolinguistica e della linguistica antropologica. La persistenza e la diffusione delle lingue migrate, in relazione alle identità diasporiche e nell'ambito delle società multiculturali, sono considerate con riferimento a casi di studio italiani e internazionali. Particolare attenzione viene dedicata ai processi di trasmissione intergenerazionale e alle politiche linguistiche nei contesti di partenza e di arrivo. La trattazione dei temi propri delle strategie di conservazione, trasmissione e innovazione delle lingue migrate è arricchita da dati di ricerca riferiti sia alla diaspora italiana nel mondo che ai flussi migratori stranieri verso l'Italia
Geometric rigidity for incompatible fields in the multi-well case and an application to strain-gradient plasticity
No full textWe derive a quantitative rigidity estimate for a multiwell problem in nonlinear elasticity with dislocations. Precisely, we show that the L^{1^{*}}-distance of a possibly incompatible strain field from a single well is controlled in terms of the L^{1^{*}}-distance from a finite set of wells, of curl \beta and of div \beta. As a consequence, we derive a strain-gradient plasticity model as Gamma-limit of a nonlinear finite dislocation model, containing a singular perturbation term accounting for the divergence of the strain field. This can also be seen as a generalization of the result of Alicandro et al. (2018) to the case of incompatible vector fields
Constraint satisfaction approach in structuring neural network architectures
No full textThis work presents a novel numerical and quantitative methodology grounded in Constraint Satisfaction Problem (CSP) theory, aimed at developing a specialized tool for the structural analysis of fully connected, feed-forward Neural Networks (NNs). The proposed approach enables a systematic exploration of neuron configurations within the hidden layers. A backtracking search algorithm was specifically designed to traverse the space of admissible architectural parameters, thereby implementing a constrained combinatorial strategy for neural network architecture exploration. This study introduces a practical tool for researchers aiming to identify diverse neuronal organizational patterns within hidden layers, subject to predefined hyperparameter constraints. The proposed algorithm was subsequently validated by exhaustively exploring all feasible architectural configurations for solving a two-dimensional Poisson equation using a Physics-Informed Neural Network (PINN)
Strategie di contrasto degli effetti dell’heatwave in ambito urbano e di pandemic prepardeness: un modello exposure-based per la riduzione dell’heat stress e l’incremento del benessere psicofisico nei gruppi vulnerabili. Il ruolo dei parchi a Napoli
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Measuring the distance between single random inputs and OWA operators
No full textConsidered a random sample of fixed cardinality extracted from a population with unknown distribution, this paper deals with the ability of an Ordered Weighted Averaging (OWA) operator to approximate the distance between the values it assumes and the single observation of the sample. To this purpose, a measure of distance between random quantities recently introduced in the literature is considered, which takes into account both their mutual dependence and the shape of their distributions. Conditions are identified on the weights of the OWA operator that minimize this distance, or for which the different distances are ordered as the weights of two different operators vary. The paper also considers the case of operators defined as mixture of order statistics and, subsequently, the case of input values from populations with different distributions, showing conditions on these distributions that highlight the importance of the inputs in the value assumed by this distance
Toward a cognitive neuroscience of technology
No full text: In our target article, we proposed a hub-and-processors model of technological cognition. The twelve commentaries that followed offer a rare opportunity to refine, extend and test that framework against new perspectives. We integrate their contributions into a revised synthesis. The parietal sites now gain sharper anatomical definition: core substrates of technical reasoning can be more clearly distinguished from adjacent regions supporting manipulation knowledge and mental-to-digital goal-directed conceptual transformations. The inferior frontal gyrus, in turn, emerges as a dual-function node - one that routes information across hubs while simultaneously meeting the planning and control demands of tool-related behavior. Beyond cortical organization, the commentaries push the framework toward white-matter connectivity, reward and motivational circuits, as well as affordance-based theoretical accounts spanning the physical, digital and symbolic domains. They also broaden the model's translational scope to aging, neurodegeneration, digital inclusion, and neurorehabilitation, and open new lines of inquiry into temporal dynamics, expertise, and cognitive extension. The cumulative result is a strengthened case for a cognitive neuroscience of technology: a mechanistic, translational and lifespan-oriented program aimed at understanding how the brain supports technology use, acquires technological skills and is, over time, reshaped by sustained engagement with technological artifacts
