513225 research outputs found
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Foro Romano e Sacra via: conservazione e trasformazione della forma urbana tra IV e VII secolo
No full textIl rinnovato interesse verso la tarda antichità ha stentato nel realizzare uno studio in grado di offrire uno strumento documentario criticamente strutturato del Foro Romano. Il lavoro in questione si propone di offrire un’analisi integrale del contesto che favorisca l’interdisciplinarietà grazie all’ampio ventaglio di fonti disponibili e che evidenzi, attraverso la verifica complessiva delle fonti, il dettaglio dei diversi interventi a fronte dei numerosi cambiamenti sociali, politici e religiosi, con un sguardo che superi i limiti storici dell’impero, evidenziando la vitalità dell’area almeno fino al VII secol
La prefettura dell'annona da Augusto a Costantino. Un aggiornamento a cinquant'anni da H. Pavis d'Escurac
No full textThis dissertation reassesses the organization and personnel of the praefectura annonae from Augustus to Constantine, updating Henriette Pavis d’Escurac’s 1976 study through systematic prosopographical revision and newly available epigraphic and papyrological evidence. It reconstructs the hierarchy and functions of officials operating under the prefect (adiutores, subprefects, procurators, port administrators, and extraordinary agents) while refining chronologies and identifying new figures. The study also re-evaluates the relationship between the Roman prefecture and provincial officials, arguing that several Egyptian and Numidian procurators were collaborators rather than permanent subordinates. The result is a more precise picture of the administrative mechanisms that secured Rome’s food supply and of the evolving structure of imperial logistical governance
Studio Albori. A Practice Based in Milan. Radical Reuse
No full textThe essay examines the work of Studio Albori, a Milan-based practice active since the early 1990s, highlighting a design approach grounded in the radical reuse of materials and the transformation of the existing built environment. Through selected projects, it shows how reuse and upcycling function as both methodological and expressive tools, integrating environmental, social, and economic concerns. Studio Albori’s architecture emerges as an open and explicit process, in which the construction site becomes a space of experimentation and the resulting language balances anonymity with aesthetic intent
Gaming addiction: un’analisi dei fattori protettivi e di rischio associati alla dipendenza da videogames
No full textScopo del capitolo è di ricostruire, sulla scorta dei risultati dell’indagine condotta, quali fattori si associno in modo caratteristico a modalità differenziate di approcciarsi al gaming, in termini di frequenza di gioco e di presenza/assenza di rischi di dipendenza. La caratterizzazione dei profili tipizzati consentirà, nello specifico, di isolare fattori protettivi e fattori di rischio, nell’ottica di determinare a quali condizioni il gaming possa presumibilmente assolvere a una virtuosa funzione ricreativa di intrattenimento e a quali altre – relative a elementi di vulnerabilità - sia destinato ad intaccare il benessere psichico degli adolescenti, attraverso comportamenti di abuso
From Passive Consumers to Active Citizens: A Survey‐Based Study of Prosumerism in Jerusalem
No full textActive citizen participation in both consumption and production is essential for a successful renewable energy transition. The paper explores the early development of prosumerism in Jerusalem, a city characterized by socio‐political fragmentation and unequal access to infrastructure
Radiomics in Clinical Decision Support: Unraveling Challenges and Maximizing Benefits for Precision Medicine
No full textBackground: Radiomics, which extracts high-dimensional quantitative data from
medical images, holds immense promise for advancing precision medicine. However,
its translation into routine clinical practice is significantly hampered by persistent
challenges related to the reproducibility and robustness of its workflows.
Aims: This thesis systematically addresses these challenges through a threepronged
investigation aimed at: 1) enhancing the reproducibility and robustness of
radiomics workflows; 2) comparing the performance of traditional machine learning
(ML)-based radiomics with modern deep learning (DL)-based approaches; and 3)
facilitating the clinical translation of radiomics into practical decision support tools.
Methods: The research involved a multi-faceted approach across various clinical
domains, including lung, prostate, and breast cancer, as well as multiple sclerosis,
utilizing computed tomography (CT), positron emission tomography (PET), and
magnetic resonance imaging (MRI). Sources of analytical variability, such as image
pre-processing and segmentation methods, were systematically investigated. An
automated ensemble modeling pipeline was developed to construct robust predictive
models founded on stable features. A head-to-head comparison was conducted
between a traditional ML pipeline and a DL architecture for mammographic lesion
classification. To promote clinical adoption, a user-friendly, integrated software
platform, matRadiomics, was developed. Furthermore, DL models were implemented
to automate critical workflow stages like lung and prostate segmentation. Finally,
a radiomics-based model was validated as a decision support tool for interpreting
uncertain bone uptakes in [18F]PSMA-1007 PET/CT imaging.
Results: The initial investigations confirmed that pre-processing parameters and
segmentation methodologies are primary sources of feature instability, undermining
model reliability. The direct comparison between paradigms demonstrated the
markedly superior performance of the DL architecture (average validation AUC >
81%) over traditional ML models (AUC < 68%) for classifying complex lesions. The
developed DL automation tools achieved high accuracy, with lung segmentation
reaching a Dice score exceeding 0.97, and 0.87 for whole-gland prostate segmentation.
Critically, the radiomics decision support tool was shown to significantly improve
the diagnostic accuracy of clinicians interpreting PET/CT scans, bringing the
performance of less experienced readers closer to that of experts.
Conclusion: This thesis provides a comprehensive framework and validated
solutions for overcoming key barriers to the clinical implementation of radiomics.
By systematically enhancing workflow robustness and strategically leveraging the
superior performance of deep learning, this work charts a clear trajectory for transforming
radiomics from a promising research concept into a reliable, impactful, and
indispensable component of clinical decision support in the era of precision medicine
Missing evidence and clues to evidence, a dialectic process: the Apostolic tradition
No full textThe Apostolic Tradition is one of the most puzzling cases of textual transmission in early Christian literature. The debates and hypotheses put forward to understand this work are a good illustration of the intricate and enigmatic relationship between preserved material evidence, missing textual phases, and constructions and hypotheses based on an attempt to reconcile contradictory evidence. This case study also illustrates the difficulty of integrating newly emerging evidence into a traditional discourse that clings to assumed paradigms and is incapable of rethinking established conclusions
The participatory museum for intercultural development: innovative enjoyment of South-Asian art collections in Italy
No full textLa ricerca presentata in questa tesi si colloca all’intersezione tra educazione museale, tecnologie digitali e pratiche partecipative, con l’obiettivo di indagare in che modo processi di co-design e fruizione virtuale del patrimonio culturale possano contribuire allo sviluppo di competenze digitali e al benessere percepito dei partecipanti. A seguito di considerazioni etiche emerse durante la fase esplorativa, l’indagine progettuale si è orientata verso la sperimentazione di ambienti digitali partecipativi all’interno di un contesto educativo, mantenendo l’impianto metodologico originario e il focus sulla partecipazione come leva di inclusione e apprendimento significativo. La ricerca ha adottato un approccio misto, articolato in una fase quantitativa e una qualitativa, con un disegno quasi-sperimentale. Il campione è composto da studenti della scuola secondaria di secondo grado, suddivisi in un gruppo sperimentale e uno di controllo (complessivamente oltre 400 partecipanti). Le attività si sono sviluppate in due direzioni principali: la realizzazione e il test di una stanza virtuale museale contenente oggetti digitalizzati concessi dall’Ambasciata dell’India a Roma, e lo svolgimento di laboratori di co-design in cui gli studenti hanno appreso tecniche di digitalizzazione 3D e curato una propria collezione online. Gli strumenti di raccolta dati hanno incluso questionari pre e post somministrazione sul benessere percepito e sulle competenze digitali, nonché un questionario qualitativo a domande aperte sul processo di co-progettazione. Le analisi statistiche hanno evidenziato un miglioramento nelle competenze digitali del gruppo sperimentale rispetto al controllo, mentre l’incremento nel benessere percepito è risultato più contenuto, ma comunque indicativo di una maggiore consapevolezza e autostima legata all’esperienza partecipativa. Dal punto di vista qualitativo, l’analisi tematica delle risposte ha messo in luce dimensioni chiave della partecipazione, tra cui senso di appartenenza, collaborazione, creatività e riflessività critica. Gli studenti hanno riconosciuto nel processo di co-design un’occasione per esprimere la propria voce e per sperimentare il valore del patrimonio culturale come spazio condiviso di apprendimento. Le conclusioni della tesi sottolineano quattro principali contributi: empirico, nella dimostrazione del potenziale educativo e inclusivo degli ambienti museali virtuali co-progettati; metodologico, attraverso la definizione di un modello replicabile di ricerca partecipativa in ambito educativo e museale; teorico, nella connessione tra partecipazione, benessere e apprendimento situato; pratico, nella proposta di linee guida per l’integrazione di esperienze digitali partecipative nei contesti scolastici e museali.This doctoral research lies at the intersection of museum education, digital technologies, and participatory practices. Its main objective is to investigate how co-design processes and virtual engagement with cultural heritage can foster participants’ digital competences and perceived well-being. Following ethical concerns that emerged during preliminary fieldwork, the study was reframed to explore participatory digital environments within an educational context, maintaining the original methodological framework and emphasis on participation as a driver for inclusion and meaningful learning. The study employed a mixed-methods approach, combining quantitative and qualitative data, and was designed as a quasi-experimental study. The participants are high-school students (over 400 in total), divided into experimental and control groups. The activities developed along two main lines: the creation and user testing of a virtual museum room featuring 3D-digitized objects from the Embassy of India in Rome, and a series of co-design workshops in which students learned 3D digitization techniques and curated their own online collections. Data were collected through pre- and post-intervention questionnaires measuring perceived well-being and digital competences, alongside an open-ended qualitative questionnaire on the co-design experience. Statistical analyses revealed an improvement in the digital competences of the experimental group compared with the control group, while the increase in perceived well-being was moderate but indicative of enhanced self-awareness and confidence derived from participatory engagement. Thematic analysis of qualitative data highlighted several key dimensions of participation, including sense of belonging, collaboration, creativity, and critical reflection. Students perceived the co-design process as a meaningful opportunity to express their perspectives and to experience cultural heritage as a shared, living learning space. The conclusions emphasize four major contributions: empirical, by demonstrating the educational and inclusive potential of co-designed virtual museum environments; methodological, through the proposal of a replicable model of participatory research in educational and museum settings; theoretical, by linking participation, well-being, and situated learning; practical, by outlining guidelines for integrating participatory digital experiences into school and museum practices
A GIS-Based Spatial Evaluation Model for Planning Urban Regeneration Investments
No full textIn recent years, the attention towards the use of artificial intelligence techniques, applied across various sectors (from logistics to urban planning, from healthcare to real estate valuation), has highlighted two divergent aspects in the implementation of these tools: on one hand, the advantages that can arise from their intrinsic ability to process big data, in order to enhance efficiency, innovation, and precision, providing strategic benefits to those involved in decision-making processes; on the other hand, the issues related to the possibility of controlling the generated outputs, when it comes to managing and interpreting black boxes that are difficult to be verified. In the field of territorial intervention valuation, the use of “rapid” estimation models, easily replicable even by less experienced users, represents an added value in identifying the best design solutions, especially in public/private partnership operations, so as to define win-win paths for the involved parties. Borrowing from the economics the principles of the urban rent, a procedure for evaluating the temporal evolution of area incidence factors, applied to the city of Rome (Italy), has been proposed. The results, geo-referenced in a GIS environment, provides for an easy-to-consult graphical interface to identify urban areas to be prioritized. The integration of the proposed method with an elastic net regression analysis has allowed the identification of the socio-economic variables that have most influenced the appreciation/depreciation of territorial areas, serving as a useful support for investment decisions (both public and private) and for urban intervention planning choices