Modellbucher editi e inediti: dispositivi decodificatori della prassi teatrale brechtiana

I Modellbücher di Bertolt Brecht e del Berliner Ensemble si configurano come elementi dal carattere duplice e controverso, in bilico fra lo statuto di exempla per i futuri allestitori e quello di dispositivi interni al lavoro dell’ensemble, risultanti dinamiche della processualità scenica. L’interesse per la fotografia e il montaggio, che in Brecht assume molteplici forme – dando vita, ad esempio, ad opere come L’Abicí della guerra – si colloca al centro della composizione di tali strumenti, veri e propri esempi di assemblaggio di frammenti scenici. I Modellbücher trovano la propria ragion d’essere entro le dinamiche della regia brechtiana, di cui si prestano a tradurre le pratiche. La tesi indaga lo statuto dei Modellbücher, facendo riferimento alla storia degli studi e all’indagine archivistica condotta presso il Bertolt-Brecht-Archiv di Berlino fra 2018 e 2019.

Mathematical skills: intergenerational features and relationships with cognitive and linguistic abilities

This thesis aimed to investigate the cognitive underpinnings of math skills, with particular reference to cognitive, and linguistic markers, core mechanisms of number processing and environmental variables. In particular, the issue of intergenerational transmission of math skills has been deepened, comparing parents’ and children’s basic and formal math abilities. This pattern of relationships amongst these has been considered in two different age ranges, preschool and primary school children. In the first chapter, a general introduction on mathematical skills is offered, with a description of some seminal works up to recent studies and latest findings. The first chapter concludes with a review of studies about the influence of environmental variables. In particular, a review of studies about home numeracy and intergenerational transmission is examined. The first study analyzed the relationship between mathematical skills of children attending primary school and those of their mothers. The objective of this study was to understand the influence of mothers' math abilities on those of their children. In the second study, the relationship between parents’ and children numerical processing has been examined in a sample of preschool children. The goal was to understand how mathematical skills of parents were relevant for the development of the numerical skills of children, taking into account children’s cognitive and linguistic skills as well as the role of home numeracy. The third study had the objective of investigating whether the verbal and nonverbal cognitive skills presumed to underlie arithmetic are also related to reading. Primary school children were administered measures of reading and arithmetic to understand the relationships between these two abilities and testing for possible shared cognitive markers. Finally, in the general discussion a summary of main findings across the study is presented, together with clinical and theoretical implications.

O PAPEL DA COMUNICAÇÃO FACE A FACE NAS ORGANIZAÇÕES NO CONTEXTO DA SOCIEDADE MIDIATIZADA

Este estudo trata da comunicação face a face nas organizações sob diferentes abordagens teóricas. Considera a perspectiva da simultaneidade dos meios, já que as empresas utilizam diversos canais para dialogar com seus públicos de interesse. Leva em conta o fenômeno da midiatização, que reestrutura o modo como as pessoas se relacionam na sociedade contemporânea. O objetivo geral da pesquisa é sistematizar papeis potencialmente exercidos pela interação face a face e conhecer algumas circunstâncias que envolvem sua prática nas organizações. Por se tratar de uma tese teórica, a pesquisa bibliográfica se apresenta como um dos principais procedimentos metodológicos; análises de casos empíricos e um estudo de caso desenvolvido na Embrapa Pantanal constituem situações ilustrativas. Conclui-se que a comunicação face a face nas empresas ocorre de forma simultânea e combinada a outros canais de comunicação, porém, ela proporciona resultados práticos e filosóficos ainda pouco explorados. É rara a utilização estratégica de contatos presenciais como mecanismo para estabelecer relacionamentos, conhecer as reações alheias e ajustar a comunicação, aliar o discurso corporativo às práticas empresariais e avaliar o contexto onde se desenvolvem as interações, o que pode ser decisivo para a comunicação organizacional.

La Bukowina e la "letteratura etnografica" di lingua tedesca

La Bukowina è una regione dell’impero asburgico ricordata come “eccezionale” per la compresenza e la tolleranza fra etnie, nonché per l’accoglienza unica della lingua tedesca. Questa narrazione proviene e dai nostalgici ricordi delle ultime generazioni di abitanti del luogo, che in seguito hanno vissuto la fine del “mondo di ieri”; e da un discorso propagandistico della Corona. La presente ricerca si propone di illustrare il paesaggio culturale della Bukowina nonché le reali modalità con cui la cultura dell’imperatore si insinuò nella regione. Nel decodificare il rapporto di superiorità con cui il tedesco si affacciava agli altri popoli – investigato con l’ausilio dei postcolonial studies –, il progetto propone come materia di studio un fenomeno letterario in voga a cavallo tra XIX e XX secolo, la “letteratura etnografica”, ispirato dall’affascinante molteplicità della Bukowina, nonché da una disciplina accademica che in quegli anni attirava molti studiosi e curiosi: l’etnografia. Questo tipo di letteratura si esprime attraverso diversi generi letterari, che spesso condividono il tratto della frammentarietà. Tra queste opere, la presente analisi si sofferma su tre esempi che mostrano un progressivo allontanamento dal metodo “scientifico” della disciplina etnografica, illustrando l’ampiezza dell’insieme “letteratura etnografica”: "Die Völkergruppen der Bukowina" (1884) di Ludwig Adolf Staufe Simiginowicz; "Aus Halb-Asien" (1876-1888) di Karl Emil Franzos; "Maghrebinische Geschichten" (1953), di Gregor von Rezzori.

It's a matter of culture: analyzing worldbuilding in Avatar: The Last Airbender.

This dissertation is going to analyze culture in media and the role it plays in worldbuilding, taking into account one of the most-loved franchises in western animation, Avatar: The Last Airbender. Moreover, it wants to provide a different perspective on culture, posing the focus on the products consumed by many on a daily basis. First of all, this dissertation will start by trying to give “culture” itself a definition, focusing on two works of literature from which it will draw its analysis related to worldbuilding: Agar’s cultures in comparison and Hofstede’s model of culture. Then, it will move on to the concept of worldbuilding – what we define as worldbuilding, and how it mixes with culture. We will comment on how worldbuilding has gotten more attention with growing online communities and how it could make or break a franchise, with the example of the Divergent saga. Finally, it will move on to the main case study, Avatar: The Last Airbender, which will be analyzed from a cultural standpoint, underlining the role worldbuilding plays in it, and there will be a focus on nonverbal communication in animated media.

Predicting corticospinal excitability from pre-TMS EEG using convolutional neural networks

The amplitude of motor evoked potentials (MEPs) elicited by transcranial magnetic stimulation (TMS) of the primary motor cortex (M1) shows a large variability from trial to trial, although MEPs are evoked by the same repeated stimulus. A multitude of factors is believed to influence MEP amplitudes, such as cortical, spinal and motor excitability state. The goal of this work is to explore to which degree the variation in MEP amplitudes can be explained by the cortical state right before the stimulation. Specifically, we analyzed a dataset acquired on eleven healthy subjects comprising, for each subject, 840 single TMS pulses applied to the left M1 during acquisition of electroencephalography (EEG) and electromyography (EMG). An interpretable convolutional neural network, named SincEEGNet, was utilized to discriminate between low- and high-corticospinal excitability trials, defined according to the MEP amplitude, using in input the pre-TMS EEG. This data-driven approach enabled considering multiple brain locations and frequency bands without any a priori selection. Post-hoc interpretation techniques were adopted to enhance interpretation by identifying the more relevant EEG features for the classification. Results show that individualized classifiers successfully discriminated between low and high M1 excitability states in all participants. Outcomes of the interpretation methods suggest the importance of the electrodes situated over the TMS stimulation site, as well as the relevance of the temporal samples of the input EEG closer to the stimulation time. This novel decoding method allows causal investigation of the cortical excitability state, which may be relevant for personalizing and increasing the efficacy of therapeutic brain-state dependent brain stimulation (for example in patients affected by Parkinson’s disease).

Performance Analysis of Topological Quantum Error Correcting Codes

In the last few years there has been a great development of techniques like quantum computers and quantum communication systems, due to their huge potentialities and the growing number of applications. However, physical qubits experience a lot of nonidealities, like measurement errors and decoherence, that generate failures in the quantum computation. This work shows how it is possible to exploit concepts from classical information in order to realize quantum error-correcting codes, adding some redundancy qubits. In particular, the threshold theorem states that it is possible to lower the percentage of failures in the decoding at will, if the physical error rate is below a given accuracy threshold. The focus will be on codes belonging to the family of the topological codes, like toric, planar and XZZX surface codes. Firstly, they will be compared from a theoretical point of view, in order to show their advantages and disadvantages. The algorithms behind the minimum perfect matching decoder, the most popular for such codes, will be presented. The last section will be dedicated to the analysis of the performances of these topological codes with different error channel models, showing interesting results. In particular, while the error correction capability of surface codes decreases in presence of biased errors, XZZX codes own some intrinsic symmetries that allow them to improve their performances if one kind of error occurs more frequently than the others.

Motor Unit Spike Trains Recontruction from sEMG Signals for Gesture Classification on a Low-Power Processing Platform

Hand gesture recognition based on surface electromyography (sEMG) signals is a promising approach for the development of intuitive human-machine interfaces (HMIs) in domains such as robotics and prosthetics. The sEMG signal arises from the muscles' electrical activity, and can thus be used to recognize hand gestures. The decoding from sEMG signals to actual control signals is non-trivial; typically, control systems map sEMG patterns into a set of gestures using machine learning, failing to incorporate any physiological insight. This master thesis aims at developing a bio-inspired hand gesture recognition system based on neuromuscular spike extraction rather than on simple pattern recognition. The system relies on a decomposition algorithm based on independent component analysis (ICA) that decomposes the sEMG signal into its constituent motor unit spike trains, which are then forwarded to a machine learning classifier. Since ICA does not guarantee a consistent motor unit ordering across different sessions, 3 approaches are proposed: 2 ordering criteria based on firing rate and negative entropy, and a re-calibration approach that allows the decomposition model to retain information about previous sessions. Using a multilayer perceptron (MLP), the latter approach results in an accuracy up to 99.4% in a 1-subject, 1-degree of freedom scenario. Afterwards, the decomposition and classification pipeline for inference is parallelized and profiled on the PULP platform, achieving a latency < 50 ms and an energy consumption < 1 mJ. Both the classification models tested (a support vector machine and a lightweight MLP) yielded an accuracy > 92% in a 1-subject, 5-classes (4 gestures and rest) scenario. These results prove that the proposed system is suitable for real-time execution on embedded platforms and also capable of matching the accuracy of state-of-the-art approaches, while also giving some physiological insight on the neuromuscular spikes underlying the sEMG.