Il teatro al femminile: declinazioni e intersezioni di due differenze.

Un indirizzo di ricerca gi\ue0 consolidato in Europa e negli Stati Uniti, ma acquisito pi\uf9 recentemente in Italia, prende in considerazione i diversi contributi che le teorie della costruzione culturale del maschile e del femminile possono offrire alle arti della scena. Il volume si inserisce in tale contesto di studi mettendo a fuoco il concetto di differenza che, come un sottile fil rouge, attraversa tanto il mondo del teatro quanto quello del femminile. Entrambi contraddistinti da una costituzionale alterit\ue0 nei confronti di ogni categorizzazione univoca e settoriale, essi si pongono ai margini dei \u201cgeneri\u201d predominanti: la tradizione letteraria in senso stretto, da una parte, e il sesso maschile, dall\u2019altra. Toccando alcune tappe significative della storia del teatro e delle arti performative, questo corpus di saggi analizza alcune modalit\ue0 femminili di autorappresentazione, mettendone in luce il carattere liminare ed esaminandone, al tempo stesso, le ragioni e gli effetti nel proprio contesto socio-culturale di riferimento. Parallelamente, il progetto cerca di evidenziare la differenza espressiva del teatro attraverso le riflessioni e le opere di alcune letterate e filosofe, in particolare mostrando la capacit\ue0 della scena di offrirsi quale chiave di lettura per la rappresentativit\ue0 del linguaggio e per la struttura costitutivamente relazionale, e tragica, della realt\ue0

CoViD-19, learning from the past: A wavelet and cross-correlation analysis of the epidemic dynamics looking to emergency calls and Twitter trends in Italian Lombardy region.

The first case of Coronavirus Disease 2019 in Italy was detected on February the 20th in Lombardy region. Since that date, Lombardy has been the most affected Italian region by the epidemic, and its healthcare system underwent a severe overload during the outbreak. From a public health point of view, therefore, it is fundamental to provide healthcare services with tools that can reveal possible new health system stress periods with a certain time anticipation, which is the main aim of the present study. Moreover, the sequence of law decrees to face the epidemic and the large amount of news generated in the population feelings of anxiety and suspicion. Considering this whole complex context, it is easily understandable how people "overcrowded" social media with messages dealing with the pandemic, and emergency numbers were overwhelmed by the calls. Thus, in order to find potential predictors of possible new health system overloads, we analysed data both from Twitter and emergency services comparing them to the daily infected time series at a regional level. Particularly, we performed a wavelet analysis in the time-frequency plane, to finely discriminate over time the anticipation capability of the considered potential predictors. In addition, a cross-correlation analysis has been performed to find a synthetic indicator of the time delay between the predictor and the infected time series. Our results show that Twitter data are more related to social and political dynamics, while the emergency calls trends can be further evaluated as a powerful tool to potentially forecast new stress periods. Since we analysed aggregated regional data, and taking into account also the huge geographical heterogeneity of the epidemic spread, a future perspective would be to conduct the same analysis on a more local basis