Entanglement entropy and D1-D5 geometries

http://dx.doi.org/10.1103/PhysRevD.90.066004Giusto, Stefano, and Rodolfo Russo. "Entanglement Entropy and D1-D5 geometries." Physical Review D 90.6 (2014): 066004

Analisi lessico testuale delle ordinanze del Commissario Delegato alla ricostruzione in Emilia-Romagna: Un contributo alla legge nazionale su emergenza e ricostruzione

In the three years after the 2012 earthquake in Emilia-Romagna, through the enactment of more than 350 ordinances, the Commissioner has structured interventions to cope with emergency and reconstruction. The intense law-making, essential to fill a legal vacuum, has enabled to overcome the uncertainties of the difficult phase of recovery. There is agreement among experts that a large number of those ordinances was due to the absence of national rules governing the urgent intervention in case of natural disasters. On the push of actions taken in Emilia-Romagna, the Italian Parliament has reopened the debate on a national law on emergency after natural disasters. Through a systematic content analysis of the corpus of ordinances issued in Emilia-Romagna, in this paper we propose a contribution in drafting a law on emergency. Two main strands of analysis have been developed. In the first one, an automatic text analysis, supported by Taltac2, has provided inputs for a factor analysis and a cluster analysis of the thematic areas covered by the ordinances. Four main topics have been singled out: grant criteria and contributions; management of allocation of resources; urgent works for municipalities, schools and churches buildings; interventions to support population. Having associated each ordinance to one of the four topics, a temporal analysis of the issues addressed during the emergency and reconstruction phase highlights the sequence of actions that were undertaken in Emilia. In a second step, the set of terms characterizing each cluster it is used to obtain a redefinition of disjunctive classification towards a fuzzy multi-class

Clusters of specializations in the automotive supply chain in Italy. An empirical analysis using text mining

The wide literature exploring supply chains is polarized on two perspectives: micro analyses focusing on management strategies of companies, and macro assessment of cross-country interdependences. In order to explore the ongoing innovation paths, this paper adopts a third perspective on the supply chain, focusing on the internal structure of specializations within the automotive supply chain in Italy. If we compare the degree of fragmentation across global value chains, the automotive supply chain has the highest degree of fragmentation. With regard to Italy, its structural characteristics (number, size of companies, location) and dynamics of change deserve attention both for its large share in domestic production and for its interconnections with other supply chains. In this paper, we explore a strategy to identify a classification of specializations within the automotive supply chain grounded on the textual description of activities provided by companies when they register their business. Pending the acquisition of the database for the other years of the Observatory, in this work the analysis refers only to 2017 data

Strategie, pubbliche e private, in azione per ri-costruire meglio. Analisi dei testi di quattro interviste

In this paper we present the methodology and results of the automatic analysis of the transcripts of the interviews carried out under the project "ideas and projects for better reconstruction" (Esposito et al., 2017). Four strategic areas are considered: the Territorial Cohesion Agency, the Casa Italia Plan, the Civil Protection, and that of a community model of action in the community. The goal is twofold. On the one hand, it is intended to offer a systematic reading of the specificities and elements common to the various aspects considered in the interviews. On the other hand, we want to explore some methodological ideas in the automatic analysis of the texts on the following issues: integration of analytical tools, constraints resulting from the size of the corpus, interpretative potential of graphical representation of results, integration between automatic information retrieval, auto-coding of a corpus and expert reading

Earthquake in the city: the people yet to come

The paper starts a critical reflection on the effects of disasters on urban change. It is a compendium of the discussions, meetings and fieldworks of the research team Energie Sisma Emilia at the University of Modena and Reggio Emilia, Italy. The fieldwork included a one-day walking-and-photographs (April 2015) in the town centre of Mirandola. This is one of the towns that Energie Sisma Emilia chose to evaluate since it was heavily affected by the earthquakes of May 2012. The working research question concerns post-disaster city change and possible gentrification of old town centres. Migrants\u2014counted as much as one third of the resident population in our case study\u2014found a sanctuary of affordable rents in old town centre of Mirandola, prior to its reconstruction. From discourse analysis of planning documents, there is a sense that a certain imaginary city was already in place before the earthquake. If this is the case, we consider the possibility that post-disaster politics might be determinant in displacement of migrant population. The paper begins by looking at three frameworks drawn from the 'Sociology of Disasters' and by making a tempting parallel with three analytical perspectives on cities: city as a container, city of assemblages, and city as a futurity. In the central part, it opens to gentrification debate and to the multiple dimensions of urban displacement. The field notes and photographs of the walk in Mirandola are discussed at the end as very first empirical findings or, rather, initial scoping for a longitudinal research endeavour

What innovation policy mix does matter for which countries? Patterns emerging from multidimensional analysis on STIP Compass platform

An increasing consensus is shared among scholars on the relevance of policy mix in supporting innovation processes. An essential support for a comparative analysis of innovation policies is provided by STIP Compass. As a joint initiative of the European Commission and OECD, STIP Compass contains taxonomies of policies, databases, monitoring tools, and links between various data sources. The paper addresses two research questions: the first one concerns the way to single out a pattern of innovation policy mix. The second one specifically focuses on the dimensions in the narratives adopted to describe the current policy issues. The paper refers to the STIP Compass database downloaded on 24th August 2019. Results can be browsed by using the navigation on Tableau Public. Being aware that the potential of STIP Compass relies on the quality of information that is entered by the countries, this paper aims at enhancing the awareness of both scholars and policy makers involved in the innovation policy field by suggesting its use to outline patterns of policy mix across countries. Although the database is incomplete and currently under revision, the exercise undertaken in this paper outlines methods for text analysis that will be applied to the new updated edition of STIP Compass, when available. One urgent message is drawn from the analysis undertaken in this paper: aiming at providing an effective analytical framework a tools for innovation policies in Europe, the European Commission cannot overlook that subnational policies need to be entered in STIP Compass, and this could be done in a straightforward way, by using information on regional innovation policies already available in the DG Regio