L'Oratorio e la cura. Assistenza e medicina nella Roma dei papi (secc. XVI-XVII)

La tesi è incentrata sul rapporto tra una comunità religiosa maschile, la Congregazione dell'Oratorio di Roma dei secoli XVI e XVII, e il concetto di cura, mettendo in dialogo storia sociale, storia religiosa e storia della medicina. La prima parte indaga il coinvolgimento degli Oratoriani nella rete caritativa urbana, sottolineando il loro contributo nello sviluppo e nell'amministrazione di una serie di ospedali, ma anche il loro impegno pratico nella cura spirituale e corporale dei malati. La seconda parte prende in esame i professionisti sanitari che frequentavano l'Oratorio, inquadrando il loro rapporto con i padri nel quadro di una più ampia rete di connessioni sociali e politiche nella Roma pontificia. Inoltre, mettendo in rilievo le specificità di speziali, barbieri-chirurghi e medici, l'indagine considera il loro coinvolgimento nella vita religiosa della comunità e la messa a frutto del loro sapere, in ambito umanistico e anatomico. La terza parte studia il complesso rapporto dei sacerdoti con il proprio corpo e con la salute. Viene rilevato il peso delle condizioni sanitarie nell’accettazione di nuovi membri, i legami tra estetica, identità sociale e medicina, ma si prendono in considerazione anche l’ambigua funzione del cibo – inteso come strumento di ascesi che di cura – e il funzionamento concreto dell'organizzazione medica della comunità. Inoltre, un capitolo analizza la circolazione del sapere medico, evidenziando il ruolo della biblioteca, la raccolta e lo scambio di ricette mediche e l'importanza della spezieria comunitaria, mentre un altro capitolo si focalizza sui viaggi terapeutici e sulla pratica del termalismo. L'ultima parte è incentrata sulla peste romana del 1656-57, analizzando il modo in cui la Congregazione affrontò lo scoppio e lo sviluppo dell'epidemia, sia in casa che in città, per sottolineare il fragile e ambiguo equilibrio che definirono tra carità e tutela della salute.

Applying machine learning: a multi-role perspective

Machine (and deep) learning technologies are more and more present in several fields. It is undeniable that many aspects of our society are empowered by such technologies: web searches, content filtering on social networks, recommendations on e-commerce websites, mobile applications, etc., in addition to academic research. Moreover, mobile devices and internet sites, e.g., social networks, support the collection and sharing of information in real time. The pervasive deployment of the aforementioned technological instruments, both hardware and software, has led to the production of huge amounts of data. Such data has become more and more unmanageable, posing challenges to conventional computing platforms, and paving the way to the development and widespread use of the machine and deep learning. Nevertheless, machine learning is not only a technology. Given a task, machine learning is a way of proceeding (a way of thinking), and as such can be approached from different perspectives (points of view). This, in particular, will be the focus of this research. The entire work concentrates on machine learning, starting from different sources of data, e.g., signals and images, applied to different domains, e.g., Sport Science and Social History, and analyzed from different perspectives: from a non-data scientist point of view through tools and platforms; setting a problem stage from scratch; implementing an effective application for classification tasks; improving user interface experience through Data Visualization and eXtended Reality. In essence, not only in a quantitative task, not only in a scientific environment, and not only from a data-scientist perspective, machine (and deep) learning can do the difference.

Populism as a battlefield Populist actors and their representation on social and legacy media during the european parliament elections 2019 in Finland, Italy and the Netherlands

The objective of the present research is to describe and explain populist actors and populism as a concept and their representation on social and legacy media during the 2019 EU elections in Finland, Italy and The Netherlands. This research tackles the topic of European populism in the context of political communication and its relation to both the legacy and digital media within the hybrid media system. Departing from the consideration that populism and populist rhetoric are challenging concepts to define, I suggest that they should be addressed and analyzed through the usage of a combination of methods and theoretical perspectives, namely Communication Studies, Corpus Linguistics, Political theory, Rhetoric and Corpus-Assisted Discourse Studies. This thesis considers data of different provenance. On the one hand, for the Legacy media part, newspapers articles were collected in the three countries under study from the 1st until the 31st of May 2019. Each country’s legacy system is represented by three different quality papers and the articles were collected according to a selection of keywords (European Union Elections and Populism in each of the three languages). On the other hand, the Digital media data takes into consideration Twitter tweets collected during the same timeframe based on particular country-specific hashtags and tweets by identified populist actors. In order to meet the objective of this study, three research questions are posed and the analysis leading to the results are exhaustively presented and further discussed. The results of this research provide valuable and novel insights on how populism as a theme and a concept is being portrayed in the context of the European elections both in legacy and digital media and political communication in general.

Genetic characterization, population history and evolutionary medicine perspective in two native south american populations: Yanesha and Wichi

Two Amerindian populations from the Peruvian Amazon (Yanesha) and from rural lowlands of the Argentinean Gran Chaco (Wichi) were analyzed. They represent two case study of the South American genetic variability. The Yanesha represent a model of population isolated for long-time in the Amazon rainforest, characterized by environmental and altitudinal stratifications. The Wichi represent a model of population living in an area recently colonized by European populations (the Criollos are the population of the admixed descendents), whose aim is to depict the native ancestral gene pool and the degree of admixture, in relation to the very high prevalence of Chagas disease. The methods used for the genotyping are common, concerning the Y chromosome markers (male lineage) and the mitochondrial markers (maternal lineage). The determination of the phylogeographic diagnostic polymorphisms was carried out by the classical techniques of PCR, restriction enzymes, sequencing and specific mini-sequencing. New method for the detection of the protozoa Trypanosoma cruzi was developed by means of the nested PCR. The main results show patterns of genetic stratification in Yanesha forest communities, referable to different migrations at different times, estimated by Bayesian analyses. In particular Yanesha were considered as a population of transition between the Amazon basin and the Andean Cordillera, evaluating the potential migration routes and the separation of clusters of community in relation to different genetic bio-ancestry. As the Wichi, the gene pool analyzed appears clearly differentiated by the admixed sympatric Criollos, due to strict social practices (deeply analyzed with the support of cultural anthropological tools) that have preserved the native identity at a diachronic level. A pattern of distribution of the seropositivity in relation to the different phylogenetic lineages (the adaptation in evolutionary terms) does not appear, neither Amerindian nor European, but in relation to environmental and living conditions of the two distinct subpopulations.