Archivio della ricerca - Fondazione Bruno Kessler
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Observation of t ̄t Production in Pb+Pb Collisions at √sNN=5.02 TeV with the ATLAS Detector
No full textTop-quark pair production is observed in lead-lead (Pb+Pb) collisions at sqrt[s_{NN}]=5.02 TeV at the Large Hadron Collider with the ATLAS detector. The data sample was recorded in 2015 and 2018, amounting to an integrated luminosity of 1.9 nb^{-1}. Events with exactly one electron and one muon and at least two jets are selected. Top-quark pair production is measured with an observed (expected) significance of 5.0 (4.1) standard deviations. The measured top-quark pair production cross section is σ_{tt[over ̄]}=3.6 _{-0.9}^{+1.0}(stat) _{-0.5}^{+0.8}(syst) μb, with a total relative uncertainty of 31%, and is consistent with theoretical predictions using a range of different nuclear parton distribution functions. The observation of this process consolidates the evidence of the existence of all quark flavors in the preequilibrium stage of the quark-gluon plasma at very high energy densities, similar to the conditions present in the early Universe
Are delusions adaptive? An empirical and philosophical study on delusions in OCD
No full textDelusions are usually depicted in one of two contrasting ways. They are either characterized as harmful and dysfunctional beliefs or as fostering engagement with the environment and sometimes even psychological wellbeing in the face of psychological or biological difficulties – something which, according to some accounts, would make them biologically adaptive. It is this “adaptive hypothesis” that I focus on in this paper, by empirically investigating the adaptiveness of delusions in a sample of people suffering from OCD. The paper shows that delusions in OCD entertain complex and heterogeneous relationships with psychological wellbeing and engagement with the environment, highlighting some future directions that clinical and philosophical research on the topic should take
A Class of RF-MEMS Switches with Low Pull-In Voltage
No full textThis paper presents a class comprising three series of Ohmic switches, elucidating their design principles, simulation outcomes and the findings derived from measuring the initial batch of manufactured samples. The design of the membranes employs meandered beams to achieve a small actuation voltage. Initial electro-mechanical simulations, conducted within the Ansys Workbench environment, projected actuation voltages ranging from 5 to 8 Volts, whereas the measured values were marginally higher. The electromagnetic behavior of these devices demonstrated a generally qualitative concordance with simulations performed in the Ansys HFSS environment, exhibiting satisfactory performance in terms of return loss (<−20.22 dB) and isolation (<−14.86 dB) across the 5–30GHz frequency spectrum
Integrating Citizen Perspectives into Climate Risk Management and Adaptation Strategies
Full text linkClimate crisis is well evidenced with important consequences at the local scale. Often, climate risk assessment and adaptation measures at the national or regional level do not account for local climate impacts and cross-sectoral challenges. This paper presents the findings of a year-long study involving the local community of the Municipality of Sitia in Crete (Greece) in climate change risk assessment and adaptation policymaking. Three coherent workshops produced a citizen-based risk assessment and revealed stakeholders’ perceptions about existing policies from the Regional Climate Change Adaptation Plan of Crete (RCCAPC), addressing climate change impacts on vulnerable economic sectors (agriculture, water, biodiversity, tourism), their effectiveness or lack thereof. It also looks at their ability to suggest solutions regarding the effects of climate change. The study emphasizes how climate hazards affect Sitia’s social elements and, in order to find any differences, reported perceptions were compared with the RCCAPC. By doing so, the research breaks new ground in the participatory formulation of environmental policies that are well-informed, place-based, and climate-sensitive, reflecting a dynamic synthesis of public engagement, scientific research, and practical policy implementation
Search for single-production of vector-like quarks decaying into Wb in the fully hadronic final state in pp collisions at √s = 13 TeV with the ATLAS detector
No full textA search for T and Y vector-like quarks produced in proton-proton collisions at a centre-of-mass energy of 13 TeV and decaying into Wb in the fully hadronic final state is presented. The search uses 139 fb−1 of data collected by the ATLAS detector at the LHC from 2015 to 2018. The final state is characterised by a hadronically decaying W boson with large Lorentz boost and a b-tagged jet, which are used to reconstruct the invariant mass of the vector-like quark candidate. The main background is QCD multijet production, which is estimated using a data-driven method. Upon finding no significant excess in data, mass limits at 95% confidence level are obtained as a function of the global coupling parameter, κ. The observed lower limits on the masses of Y quarks with κ = 0.5 and κ = 0.7 are 2.0 TeV and 2.4 TeV, respectively. For T quarks, the observed mass limits are 1.4 TeV for κ = 0.5 and 1.9 TeV for κ = 0.7
Modeling and Assessing Coercion Threats in Electronic Voting
No full textElectronic voting holds the potential to increase voter participation and streamline election processes, but its broad use is limited by many challenges, e.g., ensuring system security and usability. One of the most difficult threats to counter is coercion; i.e., the ability to monitor and force voters’ actions. This paper proposes a methodology to assess an e-voting system’s resistance to coercion by gathering the security properties that an e-voting solution should offer from both academia and regulation, and adapting the Microsoft STRIDE and LINDDUN threats and the OWASP Risk Rating Technologies to the e-voting scenario
Analysing and Improving Business Processes Through Hybrid Simulation Model: A Case Study
Full text linkThe increasing amount of process execution data, i.e. the event logs stored by the company, can be exploited using Business Process Simulation (BPS). BPS serves as a valuable tool for business analysts, enabling them to analyze and compare business processes and identify changes that optimize key performance measures. Especially when evaluating alternative scenarios, it is crucial to start with an accurate simulation of the current process. Recent research in the field of BPS has demonstrated that Hybrid Simulation Model (HSM) approaches reliably replicates business process behaviour, overcoming the unrealistic or oversimplified assumptions often found in traditional discrete event simulators. In this paper, we present a case study conducted in collaboration with EY, where we apply the HSM to a real-life business process log. This study demonstrates the benefits of the HSM for business process analysis and its potential to improve process performance
Evaluation of the 2022 West Nile virus forecasting challenge, USA
No full textBackground: West Nile virus (WNV) is the most common cause of mosquito-borne disease in the continental USA, with an average of ~1200 severe, neuroinvasive cases reported annually from 2005 to 2021 (range 386-2873). Despite this burden, efforts to forecast WNV disease to inform public health measures to reduce disease incidence have had limited success. Here, we analyze forecasts submitted to the 2022 WNV Forecasting Challenge, a follow-up to the 2020 WNV Forecasting Challenge. Methods: Forecasting teams submitted probabilistic forecasts of annual West Nile virus neuroinvasive disease (WNND) cases for each county in the continental USA for the 2022 WNV season. We assessed the skill of team-specific forecasts, baseline forecasts, and an ensemble created from team-specific forecasts. We then characterized the impact of model characteristics and county-specific contextual factors (e.g., population) on forecast skill. Results: Ensemble forecasts for 2022 anticipated a season at or below median long-term WNND incidence for nearly all (> 99%) counties. More counties reported higher case numbers than anticipated by the ensemble forecast median, but national caseload (826) was well below the 10-year median (1386). Forecast skill was highest for the ensemble forecast, though the historical negative binomial baseline model and several team-submitted forecasts had similar forecast skill. Forecasts utilizing regression-based frameworks tended to have more skill than those that did not and models using climate, mosquito surveillance, demographic, or avian data had less skill than those that did not, potentially due to overfitting. County-contextual analysis showed strong relationships with the number of years that WNND had been reported and permutation entropy (historical variability). Evaluations based on weighted interval score and logarithmic scoring metrics produced similar results. Conclusions: The relative success of the ensemble forecast, the best forecast for 2022, suggests potential gains in community ability to forecast WNV, an improvement from the 2020 Challenge. Similar to the previous challenge, however, our results indicate that skill was still limited with general underprediction despite a relative low incidence year. Potential opportunities for improvement include refining mechanistic approaches, integrating additional data sources, and considering different approaches for areas with and without previous cases
