8 resultados para future-oriented knowledge

em AMS Tesi di Dottorato - Alm@DL - Università di Bologna


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L’enigma della relazione tra Gesù e Giovanni il Battista ha da sempre stimolato l’immaginazione storica degli studiosi, suscitando una varietà di ipotesi e valutazioni, spesso assai diverse. Ciò nonostante, tutti concordano su un punto: che, almeno nella sua fase maggiore in Galilea, il ministero di Gesù fosse una realtà essenzialmente autonoma, diversa, originale e irriducibile rispetto alla missione di Giovanni. In controtendenza con questa “impostazione predefinita”, il presente studio sostiene la tesi secondo cui Gesù portò avanti la sua missione come intenzionale e programmatica prosecuzione dell’opera prematuramente interrotta di Giovanni. Nella prima parte, si esamina approfonditamente quale memoria della relazione sia conservata nelle fonti più antiche, cioè Q (qui analizzata con particolare attenzione) e Marco – a cui si aggiunge Matteo, che, in ragione dello stretto legame storico-sociologico con Q, offre un esempio illuminante di rinarrazione della memoria altamente originale eppure profondamente fedele. La conclusione è che la memoria più antica della relazione Gesù-Giovanni è profondamente segnata da aspetti di accordo, conformità e allineamento. Nella seconda parte si esaminano una serie di tradizioni che attestano che Gesù era percepito pubblicamente in relazione al Battista e che egli stesso condivideva e alimentava tale percezione riallacciandosi a lui in polemica con i suoi avversari, e dipingendolo come una figura di capitale importanza nella predicazione e nell’insegnamento a seguaci e discepoli. Infine, si argomenta l’esistenza di ampie e sostanziali aree di accordo tra i due a livello di escatologia, istruzioni etiche e programma sociale, missione penitenziale verso i peccatori e attività battesimale. L’ipotesi che Gesù portasse avanti l’attività riformatrice di Giovanni, in termini di una campagna purificatoria “penitenziale-battesimale-esorcistica” in preparazione dell’avvento di Dio, consente infine di armonizzare in modo soddisfacente i due aspetti più caratteristici dell’attività di Gesù (normalmente giustapposti, quando non contrapposti): escatologia e miracoli, il Gesù profeta e il Gesù taumaturgo.

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International labour migration processes of the last decades saw increasing numbers of solo female migrants employed in the developed countries. Many of these women were mothers who left their children in the sending countries and thus gave rise to a controversial phenomenon of transnational motherhood. The present thesis is based on the first empirical study of intergenerational narratives of mothers, Georgian labour migrants to Italy, and their children, left behind in Georgia. Mothers’ international labour migration is a challenge to the traditional ideology of motherhood. Although unconsciously migrant mothers often adhere to “alternative”, “rational”, future-oriented model(s) of parenting, they continue to live their experiences in the framework of traditional understandings of motherhood, which appears to be unequipped to “frame” transnational motherhood as, from its point of view, mothers’ choice to leave their children is reprehensible, yet transnational mothers’ physical absence is not an equivalent of “leaving” their children. Informants’ narratives strongly suggest that long periods of physical separation did not jeopardize bonds between mothers and children in transnational families. While informants’ selection bias is probable, the mother-child bond was not “broken” and the very essence of motherhood remained intact. Many forms of mothers’ and children’s online co-presence were documented during the interviews. Interviews also prove that the Internet cannot be considered a solution to the problem of family separation, experienced painfully by both mothers and children: it may reduce the pain caused by separation, but cannot be a substitute for mothers’ physical absence from their families. Despite the pain caused by separation, mothers’ emigration appeared to be the right decision made for the good of the family. Interviewed mothers almost univocally reported readiness to “keep going on”, and continue working in emigration to help their children until physically able to do so, because, as they put it, “motherhood never ends”.

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In this thesis we discuss in what ways computational logic (CL) and data science (DS) can jointly contribute to the management of knowledge within the scope of modern and future artificial intelligence (AI), and how technically-sound software technologies can be realised along the path. An agent-oriented mindset permeates the whole discussion, by stressing pivotal role of autonomous agents in exploiting both means to reach higher degrees of intelligence. Accordingly, the goals of this thesis are manifold. First, we elicit the analogies and differences among CL and DS, hence looking for possible synergies and complementarities along 4 major knowledge-related dimensions, namely representation, acquisition (a.k.a. learning), inference (a.k.a. reasoning), and explanation. In this regard, we propose a conceptual framework through which bridges these disciplines can be described and designed. We then survey the current state of the art of AI technologies, w.r.t. their capability to support bridging CL and DS in practice. After detecting lacks and opportunities, we propose the notion of logic ecosystem as the new conceptual, architectural, and technological solution supporting the incremental integration of symbolic and sub-symbolic AI. Finally, we discuss how our notion of logic ecosys- tem can be reified into actual software technology and extended towards many DS-related directions.

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NGAL (Neutrophil Gelatinase-associated Lipocalin ) is a protein of lipocalin superfamily. Recent literature focused on its biomarkers function in several pathological condition (acute and chronic kidney damage, autoimmune disease, malignancy). NGAL biological role is not well elucidated. Several are the demonstration of its bacteriostatic role. Recent papers have indeed highlight NGAL role in NFkB modulation. The aim of this study is to understand whether NGAL may exert a role in the activation (modulation) of T cell response through the regulation of HLA-G complex, a mediator of tolerance. From 8 healthy donors we obtained peripheral blood mononuclear cells (PBMCs) and we isolated by centrifugation on a Ficoll gradient. Cells were then treated with four concentrations of NGAL (40-320 ng/ml) with or without iron. We performed flow cytometry analysis and ELISA test. NGAL increased the HLA-G expression on CD4+ T cells, with an increasing corresponding to the dose. Iron effect is not of unique interpretation. NGAL adiction affects regulatory T cells increasing in vitro expansion of CD4+ CD25+ FoxP3+ cells. Neutralizing antibody against NGAL decreased HLA-G expression and reduced significantly CD4+ CD25+ FoxP3+ cells percentage. In conclusion, we provided in vitro evidence of NGAL involvement in cellular immunity. The potential role of NGAL as an immunomodulatory molecule has been evaluated: it has been shown that NGAL plays a pivotal role in the induction of immune tolerance up regulating HLA-G and T regulatory cells expression in healthy donors. As potential future scenario we highlight the in vivo role of NGAL in immunology and immunomodulation, and its possible relationship with immunosuppressive therapy efficacy, tolerance induction in transplant patients, and/or in other immunological disorders.

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Il presente lavoro è strutturato in quattro parti analizzando e comparando le pubblicazioni del settore scientifico italiano, anglofono e tedesco di riferimento. Nel primo capitolo della tesi viene proposta una riflessione sulle parole che ruotano attorno al tema dei DSA e della disabilità. Nel secondo capitolo vengono presentati, a partire dalla letteratura scientifica di riferimento, gli indicatori di rischio che segnalano possibili disturbi specifici di apprendimento e le caratteristiche di apprendimento dei DSA mettendo in luce potenzialità e talenti spesso intrinseci. Nel terzo capitolo viene vagliata la normativa di riferimento, in particolare la recente Legge 170/2010 e le relative Linee Guida. Nel quarto capitolo, partendo dal tema della diffusione delle tecnologie dell’informazione e della comunicazione (da ora in poi TIC) nel mondo della scuola, sono ampiamente trattati i principali strumenti compensativi (sintesi vocale, libri digitali, mappe concettuali, Lavagna Interattiva Multimediale) e le misure dispensative adottabili. Nel quinto capitolo viene analizzato in tutte le sue parti il Piano Didattico Personalizzato (da ora in poi PDP) e viene proposto un possibile modello di PDP pubblicato sul sito dell'Ufficio per l’Ambito Territoriale di Bologna. Nel sesto capitolo della tesi viene presentato il Progetto Regionale ProDSA. Il Progetto, rivolto a studenti, con diagnosi di DSA, delle scuole secondarie di primo grado e del primo biennio delle secondarie di secondo grado dell’Emilia-Romagna, ha visto, grazie a un finanziamento della Regione, la consegna in comodato d'uso gratuito di tecnologie compensative agli alunni che hanno aderito. La sezione empirica del presente lavoro indaga l’uso reale che è stato fatto degli strumenti proposti in comodato d’uso e le motivazioni legate alla scelta di non utilizzarli in classe. Nel settimo capitolo vengono proposti strumenti progettati per rispondere concretamente alle criticità emerse dall'analisi dei dati e per sensibilizzare il mondo della scuola sulle caratteristiche dei DSA.

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In this thesis, the author presents a query language for an RDF (Resource Description Framework) database and discusses its applications in the context of the HELM project (the Hypertextual Electronic Library of Mathematics). This language aims at meeting the main requirements coming from the RDF community. in particular it includes: a human readable textual syntax and a machine-processable XML (Extensible Markup Language) syntax both for queries and for query results, a rigorously exposed formal semantics, a graph-oriented RDF data access model capable of exploring an entire RDF graph (including both RDF Models and RDF Schemata), a full set of Boolean operators to compose the query constraints, fully customizable and highly structured query results having a 4-dimensional geometry, some constructions taken from ordinary programming languages that simplify the formulation of complex queries. The HELM project aims at integrating the modern tools for the automation of formal reasoning with the most recent electronic publishing technologies, in order create and maintain a hypertextual, distributed virtual library of formal mathematical knowledge. In the spirit of the Semantic Web, the documents of this library include RDF metadata describing their structure and content in a machine-understandable form. Using the author's query engine, HELM exploits this information to implement some functionalities allowing the interactive and automatic retrieval of documents on the basis of content-aware requests that take into account the mathematical nature of these documents.

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Zero-carbon powertrains development has become one of the main challenges for automotive industries around the world. Following this guideline, several approaches such as powertrain electrification, advanced combustions, and hydrogen internal combustion engines have been aimed to achieve the goal. Low Temperature Combustions, characterized by a simultaneous reduction of fuel consumption and emissions, represent one of the most studied solutions moving towards a sustainable mobility. Previous research demonstrate that Gasoline partially premixed Compression Ignition combustion is one of the most promising LTC. Mainly characterized by the high-pressure direct-injection of gasoline and the spontaneous ignition of the premixed air-fuel mixture, GCI combustion has shown a good potential to achieve the high thermal efficiency and low pollutants in compression ignited engines required by future emission regulations. Despite its potential, GCI combustion might suffer from low combustion controllability and stability, because gasoline spontaneous ignition is significantly affected by slight variations of the local in-cylinder thermal conditions. Therefore, to properly control GCI combustion assuring the maximum performance, a deep knowledge of the combustion process, i.e., gasoline auto-ignition and the effect of the control parameters on the combustion and pollutants, is mandatory. This PhD dissertation focuses on the study of GCI combustion in a light-duty compression ignited engine. Starting from a standard 1.3L diesel engine, this work describes the activities made moving toward the full conversion of the engine. A preliminary study of the GCI combustion was conducted in a “Single-Cylinder” engine configuration highlighting combustion characteristics and dependencies on the control parameters. Then, the full engine conversion was performed, and a wide experimental campaign allowed to confirm the benefits of this advanced combustion methodologies in terms of pollutants and thermal efficiency. The analysis of the in-cylinder pressure signal allowed to study in depth the GCI combustion and develop control-oriented models aimed to improve the combustion stability.

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Nowadays, the spreading of the air pollution crisis enhanced by greenhouse gases emission is leading to the worsening of global warming. Recently, several metropolitan cities introduced Zero-Emissions Zones where the use of the Internal Combustion Engine is forbidden to reduce localized pollutants emissions. This is particularly problematic for Plug-in Hybrid Electric Vehicles, which usually work in depleting mode. In order to address these issues, the present thesis presents a viable solution by exploiting vehicular connectivity to retrieve navigation data of the urban event along a selected route. The battery energy needed, in the form of a minimum State of Charge (SoC), is calculated by a Speed Profile Prediction algorithm and a Backward Vehicle Model. That value is then fed to both a Rule-Based Strategy, developed specifically for this application, and an Adaptive Equivalent Consumption Minimization Strategy (A-ECMS). The effectiveness of this approach has been tested with a Connected Hardware-in-the-Loop (C-HiL) on a driving cycle measured on-road, stimulating the predictions with multiple re-routings. However, even if hybrid electric vehicles have been recognized as a valid solution in response to increasingly tight regulations, the reduced engine load and the repeated engine starts and stops may reduce substantially the temperature of the exhaust after-treatment system (EATS), leading to relevant issues related to pollutant emission control. In this context, electrically heated catalysts (EHCs) represent a promising solution to ensure high pollutant conversion efficiency without affecting engine efficiency and performance. This work aims at studying the advantages provided by the introduction of a predictive EHC control function for a light-duty Diesel plug-in hybrid electric vehicle (PHEV) equipped with a Euro 7-oriented EATS. Based on the knowledge of future driving scenarios provided by vehicular connectivity, engine first start can be predicted and therefore an EATS pre-heating phase can be planned.