Educazione alla cittadinanza per cittadini immigrati adulti. Il contributo della formazione linguistico-giuridica all'acquisizione di competenze di cittadinanza in lingua seconda

The research examines which cultural and linguistic instruments can be offered to provide adult migrants with formative access to citizenship competences. Starting from the questions: How can individuals of all community groups present in a nation-state acquire high standards of linguistic, sociolinguistic and discourse competences in order to be fully integrated, that is to participate and be included in social activities in the public domain such as work and institutional environments? How are these competencies developed in an educational context? How do adult migrants behave linguistically in this context, according to their needs and motivations? The research hypothesis aimed at outlining a formative project of citizenship education targeted at adult foreign citizens, where a central role is assigned both to law education and linguistic education. Acoordingly, as the study considered if the introduction of a law programme in a second language course could be conceived as an opportunity to further the access to active citizenship and social participation, a corpus of audiodata was collected in law classes of an Italian adult professional course attended by a 50% of foreign students. The observation was conducted on teacher and learner talk and learner participation in classroom interaction when curriculum legal topics were introduced and discussed. In the classroom law discourse two dimensions were analyzed: the legal knowledge construction and the participants’ interpersonal and identity construction. From the analysis, the understanding is that drawn that law classes seem to represent an educational setting where foreign citizens have an opportunity to learn and practise citizenship. The social and pragmatic approach to legal contents plays a relevant role, in a subject which, in non-academic contexts, loses its technical specificity and refers to law as a product of social representation. In the observed educational environment, where students are adults who bring into the classroom multiple personal and social identities, legal topics have the advantage of increasing adult migrants’ motivation to ‘go back to school’ as they are likely to give hints, if not provide solutions, to problems relating to participation in socio-institutional activities. At the same time, these contents offer an ideal context where individuals can acquire high discourse competences and citizenship skills, such as agency and critical reflection. Besides, the analysis reveals that providing adult learners with materials that focus on rights, politics and the law, i.e. with materials which stimulate discussion on concerns affecting their daily lives, is welcomed by learners themselves, who might appreciate the integration of these same topics in a second language course.

Multilevel Domain Decomposition Algorithms for Monolithic Fluid-Structure Interaction Problems with Application to Haemodynamics

Finite element techniques for solving the problem of fluid-structure interaction of an elastic solid material in a laminar incompressible viscous flow are described. The mathematical problem consists of the Navier-Stokes equations in the Arbitrary Lagrangian-Eulerian formulation coupled with a non-linear structure model, considering the problem as one continuum. The coupling between the structure and the fluid is enforced inside a monolithic framework which computes simultaneously for the fluid and the structure unknowns within a unique solver. We used the well-known Crouzeix-Raviart finite element pair for discretization in space and the method of lines for discretization in time. A stability result using the Backward-Euler time-stepping scheme for both fluid and solid part and the finite element method for the space discretization has been proved. The resulting linear system has been solved by multilevel domain decomposition techniques. Our strategy is to solve several local subproblems over subdomain patches using the Schur-complement or GMRES smoother within a multigrid iterative solver. For validation and evaluation of the accuracy of the proposed methodology, we present corresponding results for a set of two FSI benchmark configurations which describe the self-induced elastic deformation of a beam attached to a cylinder in a laminar channel flow, allowing stationary as well as periodically oscillating deformations, and for a benchmark proposed by COMSOL multiphysics where a narrow vertical structure attached to the bottom wall of a channel bends under the force due to both viscous drag and pressure. Then, as an example of fluid-structure interaction in biomedical problems, we considered the academic numerical test which consists in simulating the pressure wave propagation through a straight compliant vessel. All the tests show the applicability and the numerical efficiency of our approach to both two-dimensional and three-dimensional problems.

Cause celebri, giustizia penale e informazione. La giustizia penale nello specchio dell'informazione giornalistica

La tesi approfondisce gli aspetti problematici del rapporto tra processo penale e informazione giornalistica. Si è così ritenuto opportuno suddividere la ricerca in due sezioni, una casistica, l’altra prettamente teorica. Nella sezione teorica si è posta l’attenzione sulle questioni più dibattute: tutela della verginità cognitiva del giudice, dei segreti processuali, della libertà di cronaca, della riservatezza di quanti siano anche solo occasionalmente accostati ad un’indagine penale, dell’autodeterminazione delle persone che partecipano al processo e del sereno svolgimento di quest’ultimo. Il fine ultimo è stato quello di porre sotto esame gli attuali equilibri delineati dal codice. Laddove si è potuta osservare una inadeguatezza legislativa si è tentato di avanzare una proposta di riforma. Sul punto, da un lato si sono potute osservare alcune incongruenze oggi riscontrabili nell’art. 114 c.p.p. Il tutto nella ritrovata consapevolezza che il dilemmatico rapporto tra processo e mass media può rischiare finanche di impattare sulle dinamiche probatorie, col serio rischio di inquinamento di alcune prove dichiarative. Il futuribile testimone esposto all’influenza dell’opinione pubblica può restarne scosso o turbato, al punto da potere soffrire di un’alterazione mnemonica del suo ricordo. Non per ultimo, di ausilio si è mostrata la prospettiva comparata, dalla quale si sono potuti trarre validi spunti per una ideale soluzione dei problemi passati in rassegna. Su questo versante, si è osservato il sistema spagnolo, interessati a cogliere gli equilibri costituzionali sui quali si erge il rapporto tra libertà di cronaca e processo penale e le regole codicistiche in tema di propalazione di atti giudiziari all’opinione pubblica iberica. All’esito, si sono potute trarre le conclusioni ripercorse nel testo.

Tensor-Train decomposition for image classification problems

In these last years a great effort has been put in the development of new techniques for automatic object classification, also due to the consequences in many applications such as medical imaging or driverless cars. To this end, several mathematical models have been developed from logistic regression to neural networks. A crucial aspect of these so called classification algorithms is the use of algebraic tools to represent and approximate the input data. In this thesis, we examine two different models for image classification based on a particular tensor decomposition named Tensor-Train (TT) decomposition. The use of tensor approaches preserves the multidimensional structure of the data and the neighboring relations among pixels. Furthermore the Tensor-Train, differently from other tensor decompositions, does not suffer from the curse of dimensionality making it an extremely powerful strategy when dealing with high-dimensional data. It also allows data compression when combined with truncation strategies that reduce memory requirements without spoiling classification performance. The first model we propose is based on a direct decomposition of the database by means of the TT decomposition to find basis vectors used to classify a new object. The second model is a tensor dictionary learning model, based on the TT decomposition where the terms of the decomposition are estimated using a proximal alternating linearized minimization algorithm with a spectral stepsize.

Automorphisms of irreducible holomorphic symplectic manifolds and related problems

We study automorphisms and the mapping class group of irreducible holomorphic symplectic (IHS) manifolds. We produce two examples of manifolds of K3[2] type with a symplectic action of the alternating group A7. Our examples are realized as double EPW-sextics, the large cardinality of the group allows us to prove the irrationality of the associated families of Gushel-Mukai threefolds. We describe the group of automorphisms of double EPW-cubes. We give an answer to the Nielsen realization problem for IHS manifolds in analogy to the case of K3 surfaces, determining when a finite group of mapping classes fixes an Einstein (or Kähler-Einstein) metric. We describe, for some deformation classes, the mapping class group and its representation in second cohomology. We classify non-symplectic involutions of manifolds of OG10 type determining the possible invariant and coinvariant lattices. We study non-symplectic involutions on LSV manifolds that are geometrically induced from non-symplectic involutions on cubic fourfolds.