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    16397 research outputs found

    Fiducia e benessere soggettivo. Un’analisi descrittiva nell’Europa della pandemia di Covid-19

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    Quali fattori aiutano a sostenere la fiducia verso le istituzioni, la scienza e i media (la cosiddetta fiducia verticale), e il benessere soggettivo della popolazione? Nel presente Policy Brief proviamo a rispondere a questa domanda partendo dall’analisi di dati individuali dell’indagine Eurofound Living, working and COVID-19 e indagando il legame tra fiducia verticale e soddisfazione personale dei cittadini europei in un periodo di incertezza economica e sanitaria. Durante la pandemia di Covid-19, i cittadini e le cittadine europee si sono mostrati abbastanza fiduciosi nella scienza e nelle istituzioni, mentre hanno riposto poca fiducia nei media. Inoltre, il livello di istruzione, la condizione occupazionale e lo stato di salute autopercepita degli intervistati hanno svolto un ruolo importante nel modellare la fiducia verticale. Infine, i cittadini e le cittadine europee si consideravano abbastanza soddisfatti per la propria vita: in particolare, gli uomini, i giovani, così come gli anziani, i laureati, gli occupati, e coloro che riportano una salute molto buona mostrano di essere maggiormente soddisfatti per la propria vita. Nel complesso, riteniamo che sia importante, soprattutto in periodi di incertezza economica e sanitaria, implementare politiche pubbliche volte ad aumentare i livelli di istruzione, promuovere l’occupazione, migliorare la salute e aumentare la parità di genere all’interno delle famiglie europee

    R-value measurements at BESIII

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    The R-value, defined as the ratio of inclusive hadronic cross section over dimuon cross section from electron-positron annihilation, is an important quantity that contributes to the SM prediction of the muon anomalous magnetic moment, and in the determination of the QED running coupling constant evaluated at the Z-pole. At BESIII, the R-value is measured with a total of 14 data points with the corresponding c.m. energy going from 2.2324 to 3.6710 GeV. The statistical uncertainty of the measured R is less than 0.6%. Two different simulation models, the LUARLW and a new hybrid generator, are used and give consistent detection and initial-state radiation corrections. An accuracy of better than 2.6% below 3.1 GeV and 3.0% above is achieved in the R-value measurements

    Radiative corrections to di-meson tau decays

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    We review radiative corrections to tau decays into two mesons discussing their impact in new physics searches

    Data-driven approximations to the Hadronic Light-by-Light scattering contribution to the muon (g−2)

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    We review recent progress on the numerical determination of the Hadronic Light-by-Light contribution to the anomalous magnetic moment of the muon. We advocate for a slight increase of the White Paper number for its Standard Model prediction, to (102 ± 17) × 10−11, accounting for a revised contribution from axial-vector mesons and short-distance constraints. This ∼ 10% larger result seems to be supported by the most recent lattice QCD evaluations

    Particle Transformer for τ lepton pair invariant mass reconstruction for the HH→bb¯τ+τ− CMS analysis

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    One of the most interesting channels to probe theories beyond the Standard Model at the Large Hadron Collider is the production of a new massive particle, that decays into pairs of Higgs bosons which, in turn, decay into a pair of b-quarks and a pair of τ leptons. A fundamental discriminant variable to separate HH signal from the backgrounds is the invariant mass of the di-τ system. In order to reconstruct it special techniques are needed, as the presence of neutrinos from τ decay does not allow for a complete reconstruction of the event. To this end, a transformer-based architecture (Particle Transformer) has been implemented, showing better results with respect to the most common used algorithm in CMS, which is, in addition, extremely CPU consuming

    A resource hub for interoperability and data integration in Heritage research: the H-SeTIS database

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    This article explores the contributions of the Milan branch of CNR-ISPC to the Humanities and Cultural Heritage Italian Open Science Cloud (H2IOSC) Project, focusing on facilitating data integration within Heritage Science. Its primary objective is to ensure seamless interoperability between resources from multiple institutions by establishing a shared semantic framework. The multidisciplinary nature of Heritage Science underscores the necessity for shared data repositories and effective management tools. Recent literature highlights the importance of semantic technologies in improving data integration and interoperability. To this end, the H-SeTIS database is currently under development. H-SeTIS will function as a hub for the systematic surveying and description of various semantic tools relevant to the Heritage domain. Interestingly, a preliminary analysis of data within H-SeTIS reveals that many semantic resources specifically designed to address the unique requirements of the Heritage domain do not meet the minimum quality requirements of accessibility and reusability. This finding underscores a potential area for future development: the creation of H-SeTIS aims to support the ongoing development of a comprehensive ontology for Cultural Heritage, enhancing data FAIRness and the discipline's overall impact

    Investigating resilient Roman agricultural landscapes in southern Italy. An integrated and open IT approach to modeling centuriation

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    The In.Res.Agri project aims to optimize the understanding of Roman agricultural landscapes in Southern Italy by integrating topographical, archaeological, environmental, and textual data within an innovative data-science platform. It focuses on examining the resilience of Roman agrarian landscapes, specifically through elements such as centuriation, route networks, and settlement patterns. The project employs both traditional survey methods and advanced technologies to recover, interpret, and manage archaeo-topographical data related to centuriation. Key methods include using Machine Learning for the automatic detection of centuriated fields, spatial analysis of both legacy and new data, and the use of annotated epigraphic and literary sources. All collected data will be implemented into the DigitalGroma platform, which will feature a digital archive and a webGIS for data display and querying; data will be exposed adhering to FAIR principles. In.Res.Agri will focus on regions in Campania (Vesuvian Area, Irpinia) and Puglia (Tavoliere), exploring the link between contemporary landscapes and Roman centuriated agro-ecosystems. This research is crucial for understanding the impact of environmental changes on Cultural Heritage, aligning with the priorities of the European Commission and UNESCO. The DigitalGroma platform will be accessible to researchers, tourists, and public institutions involved in archaeology, urban planning, and cultural heritage protection

    Search for resonances in light-by-light scattering using the forward proton detectors at the LHC-ATLAS

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    A search for light-by-light scattering mediated by an axion-like particle at the LHC is presented, using the central ATLAS detector to detect pairs of outgoing photons and the ATLAS Forward Proton spectrometer to detect scattered intact protons which produce the photons. Proton–proton collision data recorded in 2017 at a centre-of-mass energy of √s = 13 TeV were analysed, corresponding to an integrated luminosity of 14.6 fb−1. A total of 441 candidate events were selected. A search was made for a narrow resonance in the diphoton mass distribution, corresponding to an axion-like particle (ALP) with mass in the range 150–1600 GeV. No excess is observed above a smooth background. Upper limits on the production cross section of a narrow resonance are set as a function of the mass, and are interpreted as upper limits on the ALP production coupling constant

    Triple-GEM detectors for the Phase-2 upgrade of the CMS muon spectrometer

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    The High-Luminosity LHC will deliver an unprecedented instan- taneous luminosity, requiring all experiments to upgrade their detectors to sustain the higher background rates. The upgrade of the CMS Muon spectrometer includes three stations of triple-GEM detectors. We present the status of the commissioning and performance validation of the three GEM stations: GE1/1, which is taking data in Run 3, GE2/1, for which the first detectors will be installed in 2024, and ME0, which has undergone several performance studies for high-rate and longevity and will start its mass production in 2024

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