1,091 research outputs found
La città del futuro. Il vicesindaco "Apriamo le mura delle Molinette"
No full textL'articolo (a cura di Diego Longhin) recensisce il primo incontro del ciclo di incontri "Torino. Argomenti per un futuro possibile" organizzato dal DAD al Castello del Valentino. Nell'articolo è citato espressamente il nome e il ruolo di Paolo Mellan
A new design for the CERN-Fréjus neutrino Super Beam
No full textWe present an optimization of the hadron focusing system for a low-energy high-intensity conventional neutrino beam (Super-Beam) proposed on the basis of the HP-SPL at CERN with a beam power of 4 MW and an energy of 4.5 GeV. The far detector would be a 440 kton Water Cherenkov detector (MEMPHYS) located at a baseline of 130 km in the Fr\'ejus site. The neutrino fluxes simulation relies on a new GEANT4 based simulation coupled with an optimization algorithm based on the maximization of the sensitivity limit on the mixing angle. A new configuration adopting a multiple horn system with solid targets is proposed which improves the sensitivity to and the CP violating phase
Large-angle scattering of multi-GeV muons on thin Lead targets
No full textThe probability of large-angle scattering for multi-GeV muons in lead targets with a thickness of O(10 ^- 1) radiation lengths is studied. The new estimates presented here are based both on simulation programs (GEANT4 libraries) and theoretical calculations. In order to validate the results provided by simulation, a comparison is drawn with experimental data from the literature. This study is particularly relevant when applied to muons originating from νμ CC interactions of CNGS beam neutrinos. In that circumstance the process under study represents the dominant background for the νμ → ντ search in the τ→ μ channel for the OPERA experiment at LNGS. Finally we also investigate, in the CNGS context, possible contributions from the muon photo-nuclear process which might in principle also produce a large-angle muon scattering signature in the detector.The probability of large-angle scattering for multi-GeV muons in thin () lead targets is studied. The new estimates presented here are based both on simulation programs (GEANT4 libraries) and theoretical calculations. In order to validate the results provided by simulation, a comparison is drawn with experimental data from the literature. This study is particularly relevant when applied to muons originating from interactions of CNGS beam neutrinos. In that circumstance the process under study represents the main background for the search in the channel for the OPERA experiment at LNGS. Finally, we also investigate, in the CNGS context, possible contributions from the muon photo-nuclear process which might in principle also produce a large-angle muon scattering signature in the detector
A novel technique for the measurement of the electron neutrino cross section
No full textAbsolute neutrino cross section measurements are presently limited by uncertainties on fluxes. In this paper, we propose a technique that is based on the reconstruction of large angle positrons in the decay tunnel to identify three-body semileptonic decays. This tagging facility operated in positron counting mode (“event count mode”) can be employed to determine the absolute flux at the neutrino detector with precision. Facilities operated in “event by event tag mode” i.e. tagged neutrino beams that exploit the time coincidence of the positron at source and the interaction at the detector, are also discussed
Exploring a Configurable Virtual Environment for the Assessment and Diagnosis of the Driver's Psychophysical State
No full textEvery year, more than one million people die from road accidents. Between 10 and 30% of these accidents are due to human factors, especially drowsiness, stress, and inattention. Determining the psychophysical condition of the driver is important to help prevent those accidents, limit damage to things and people, and even reduce the number of deaths. Today's technology is moving in the analysis of the physiological data necessary to determine these states. However, one of the major problems concerning data collection is conducting the tests in a real-world environment. For this reason, designing and employing a virtual environment that recreates a simulation of real-world’s conditions would enable researchers to obtain reliable and realistic data without putting users at risk. The paper describes the development and validation of a configurable and scalable virtual environment, conceived to help researchers to set up the environment freely according to their research needs. The in-depth analysis explored a normal and an altered environmental condition to investigate and assess the negative parameters responsible for increasing driving inattention. Finally, the outcomes have become the first experimentation to create an AI-based simulator for diagnosing the driver's state of health
How we will live together?
No full textThe City and Territory course entitled “How we will live together?” (titled borrowed from the 17th Venice Architecture Biennial held in 2021) of the Turin Polytechnic’s Bachelor of Architecture degree was an opportunity to build and test a working group of researchers and students who would spend four months discussing the question of a project marking the transition from multiculturalism to ‘multi-naturalism’, as Eduardo Viveiro de Castro suggested in the 2020 Taipei Biennial. It was an opportunity to construct a new narrative of the city of Turin that overlaps climatic aspects, environ- mental resources, urban practices, and spatial characteristics. The question at the core of the course was: how can we learn, map, and analyse something that is not human, and how can this become the subject of a territorial project that puts coexistence at the centre of its agenda. The aim of this paper is therefore to analyse the experiences made within the course that tried to trace design strat- egies that emerged from an unprecedented reading of the city
The Machine in the Mountain. Territories of hydro power in the Piave basin
No full textAs an examination of the energy spatial project deployed along the most engineered hydro basin in Europe, the Piave River, this work explores the interplay of modernity and environmental transformation in the Italian north-east hydroelectric landscapes of the Veneto region. Focusing on the territorial, urban and social implications of the politics of exploitation of water, it explores the rationalities through which water is abstracted, appropriated, accumulated and used across the region. It seeks an understanding of the centrality of water management, hydro-politics and engineering in the Italian process of modernization and development, exploring their capacity to transform the territory.
The research explores the role of water apparatus within the urbanisation processes, and how its embedded dynamics of production —would they be energetic, of agriculture or redistribution— are reciprocally entangled, and consequentially dependent upon, the ecologies of specific spaces, often seemingly disconnected or remote. To do so, it unpacks the stratification of nineteenth century projects which re-structured territories of northern Italy through water flows, incrementally constructing a paradoxical interdependent machinic landscape. Deconstructing systems of capital production sedimented across the modern aspiration of the Fascist regime to cultivate and construct an idealistic idea of productive nature, the thesis aims at dissecting techno-natures legacy across the basin to declare the multiplicity of processes of rationalization of the territory and the interplay of socio-environmental conflicts with dams’ economy of power. By bringing upfront the socio-ecological rationalities of the Piave consequential landscape the thesis uncovers fragmented understandings of the basin which prevent an encompassing understanding of the machine ability in forging the territorial palimpsest.
In doing so, transcending binaries of society/nature and urban/rural environments, the thesis builds on interdisciplinary insights from the fields of urbanism, geography, environmental history and political ecology, to frame water infrastructure as a fundamental territorial support. Raising a series of questions stemming from the materiality of water and its political implications in the frame of the current climate regime, the research attempts to understand and question the social, political, institutional and ecological dynamics that the machine in the mountain entails across the territory. As a result, the research uncovers praxes which reveal the anatomy of the Piave basin by challenging modes of representation. While diverse forms of powers constitute the current conjuncture, it argues for an analysis which is constitutive of cities and their more-than-urban geographies, in order to address both the specificity of conflicts at the local scale and the larger web of political, economic and environmental processes in the broader one. By shifting urbanism focus into large ‘operationalised landscapes’, through the lens of landscape as a ‘way of seeing’, working and reconstituting knowledge, this work aims at empowering territorial research as a design tool. In the midst of the ongoing multiplicity of crises, the thesis argues for a widening need to describe the machinic territory as a way through which define future coexisting strategies to inhabit the territory
Re-mining Punta Corna. A Laboratory on the Local Impacts of the Critical Raw Material Act in the Alpine Region
No full textThe transition to a clean energy economy requires securing critical minerals such as nickel, copper, and cobalt, which are essential for low-carbon technologies. The European Critical Raw Materials Act (2023) seeks to strengthen the EU’s strategic autonomy by promoting domestic sourcing of these materials. This paper examines the environmental and socio-economic implications of renewed extractive activities in Europe, focusing on Alpine regions. In particular, it analyses the Italian context, where the government is considering reopening former mining sites despite the absence of active metal mining since the 1970s. Through the case study of Punta Corna—once Europe’s largest cobalt mine—the research explores the tensions between extractivist development strategies linked to the energy transition and local economies increasingly oriented toward tourism and territorial patrimonialization. The paper highlights the conflicts between competing development paradigms and contributes to ongoing debates on sustainable resource governance and the territorial implications of the ecological transition
IL RUOLO DELL'INFORMATIVA CONTABILE DURANTE CIRCOSTANZE STRAORDINARIE.
No full textLa mia tesi di dottorato combina principalmente due filoni di ricerca. Il primo è strettamente legato al campo dell’economia aziendale e utilizza la pandemia di Covid-19 come contesto sperimentale. Infatti, l’avvento della pandemia ad inizio 2020 ha iniziato una fase di forte incertezza nei mercati finanziari mondiali, a livelli tali da stravolgerne il loro normale funzionamento. Soprattutto, è opinione diffusa da accademici e addetti ai lavori che la recente pandemia di Covid-19 sia stata estremamente diversa da qualsiasi altro evento simile accaduto in passato, ed abbia comportato conseguenze imprevedibili e mai sperimentate fino ad ora (almeno da un punto di vista economico-finanziario). Avendo considerato ciò, un particolare sforzo è stato richiesto al mondo della ricerca per ripensare a tutta la conoscenza consolidata in ambito economico sotto i nuovi riflettori della pandemia. Nella mia tesi di dottorato, contribuisco alla letteratura collegata alla pandemia di Covid-19 con due lavori (che costituiscono il Capitolo 1 e 2 della tesi rispettivamente). Queste due produzioni indagano empiricamente come l’informazione contabile e finanziaria abbia spiegato il sottostante economico delle aziende durante una fase di mercato caratterizzata da incertezza estrema, derivata dall’avvento della pandemia. Il secondo filone di ricerca a cui riferisce questa tesi è legato alla finanza aziendale. Recentemente, la diffusione delle tecniche di predizione e classificazione di tipo Machine Learning ha consentito ai ricercatori di riformulare molti problemi storici di tipo economico o finanziario sfruttando i vantaggi portati da queste nuove tecniche, raggiungendo risultati migliori e più soddisfacenti rispetto ai modelli tradizionali. Nel Capitolo 3 della tesi, introduco l’utilizzo delle tecniche di tipo Machine Learning nel problema economico-finanziario della predizione di un futuro stato di bancarotta. Allo stesso tempo, provo ad evolvere la teoria processata dai modelli stessi seguendo un approccio data-analitico.My doctoral thesis merges two main streams of research. The first one is tied to the accounting field and uses the Covid-19 pandemic as research setting. For instance, the incumbency of the Covid-19 pandemic at the early stages of 2020 starts a phase of heightened uncertainty in global financial markets, such that the usual state of thing does no longer hold. Most importantly, it is a shared belief among academics and practitioners that the pandemic has been unlike anything experienced in the past, involving unprecedented and unexperienced consequences, at least from an economic point of view. Having this considered, an effort by researchers is deemed necessary to understand the new mechanisms regulating a pandemic-affected market and to rethink the well consolidated knowledge under the new lights of this turbulent market phase. In my doctoral thesis, we contribute to the Covid19-related accounting literature with two research papers (which are Chapter 1 and 2 of the thesis respectively). These two papers investigate empirically the extent to which the accounting informs the market about the underlying firms’ fundamental during phases characterized by heightened fundamental uncertainty (derived from the Covid-19 pandemic). The second stream of research is more tied to the corporate finance field. Over the recent years, the spread of machine learning based techniques has enabled researchers to reframe many economic or financial problems exploiting the advantages brought by these new techniques, reaching far better solutions than traditional models. In Chapter 3 of my doctoral thesis I introduce the use of machine learning into the accounting-based default prediction literature, advancing also the financial knowledge processed inside the models following a data-analytic approach
From Scripting to Structural Computation of Conical Vaults
No full textThis paper discusses the use of scripting procedures and structural computation applied to the stonecutting of vaults. Starting from the conceptualization of trumpet squinches in various treatises, it offers an understanding of the parametric framework used. The operation is then replicated on Wallis’s conical edge surface as described by Guarino Guarini, demonstrating how to create complex surfaces from the basic script. The second part concerns the structural behavior of a conical vault in the same coding environment, thanks to Thrust Network Analysis method. Configurative and geometric analysis of vaults is paired with structural integrity in order to better manage historical buildings
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