Archivio Istituzionale della Ricerca- Università del Salento
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    Le relazioni diplomatiche tra i regni di Spagna e di Francia. Il Nunzio nella Capitale del sistema imperiale spagnolo (1670-71) alla vigilia della guerra franco-olandese

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    L’articolo riguarda le relazioni diplomatiche tra i regni di Spagna e Francia, concentrandosi sul ruolo del Nunzio Apostolico a Madrid tra il 1670 e il 1671, alla vigilia della guerra franco-olandese. Vengono analizzate le tensioni politiche e diplomatiche tra Spagna e Francia nel periodo successivo alla morte di Filippo IV e l’ascesa al trono del fragile Carlo II. Attraverso fonti d'archivio, si evidenziano le manovre delle potenze europee per ridisegnare l'equilibrio continentale, con particolare attenzione alle dispute territoriali in Fiandra e Lorena e alla formazione della Triplice Alleanza (Inghilterra, Svezia, Olanda) per contenere l'espansionismo di Luigi XIV. Il ruolo del Nunzio Apostolico in Spagna emerge come fondamentale nel tentativo di mediazione papale tra le fazioni in conflitto. Tuttavia, la diplomazia vaticana si scontra con le ambizioni geopolitiche delle grandi potenze, mentre la Spagna cerca di mantenere il proprio dominio su territori strategici come le Fiandre. Inoltre viene messo in luce il fallimento dei negoziati di Lilla e le conseguenze delle manovre francesi, culminate nell’avvicinamento segreto tra Francia e Inghilterra con il Trattato di Dover (1670), che preludono alla guerra franco-olandese (1672-1678). L’articolo fornisce una lettura dettagliata delle fonti diplomatiche e delle cronache del tempo, contribuendo alla comprensione delle dinamiche internazionali che segnarono la crisi della monarchia spagnola e l’ascesa egemonica della Francia nel XVII secolo

    Set-theoretical solutions to the pentagon equation: a survey

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    Data Driven Decision Support Tool for Assessing the Environmental Impact of Unmanned Aerial Vehicles in Last mile logistics

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    The increasing use of Unmanned Aerial Vehicles (UAVs) for last mile logistics (LML) has raised questions about their environmental impact. While there is growing interest in the operational efficiency of UAVs, the literature lacks comprehensive studies addressing their full life cycle impact. This paper presents the structure of a decision support tool for the environmental impact assessment of delivery UAVs. The tool classifies UAVs based on an analysis of key technical characteristics, providing a baseline UAV model for estimating a Bill of Materials (BoM). Using the baseline BoM, the tool performs a Life Cycle Assessment (LCA) covering material extraction, production, and end-of-life phases. Additionally, the tool can simulate delivery scenarios to estimate emissions during the use phase. This tool aims to evaluate the life cycle impact of different UAV models adopted for LML involving different tools for covering all processes in aa life cycle perspective. This paper outlines the structure of the tool, showing its potential to fill a critical gap in existing research by providing a holistic environmental assessment of UAV in LML. This approach can support decision-making processes for designing and managing more sustainable LML solutions based on UAVs

    Reading comprehension of children acquiring a transparent language as L2: a study with the simple view of reading model

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    Based on the simple view of reading (SVR), we investigated factors associated with reading comprehension in Second Language (L2) minority children learning a highly consistent orthography through a network analysis. Bilingual and monolingual children participated in the research. Consistent with prior findings, reading speed supported reading comprehension for L1 learners, whereas, for L2 learners, correct decoding carried greater weight than reading speed. In monolingual children, vocabulary and morphosyntactic comprehension contributed jointly and independently to reading comprehension success. However, only vocabulary facilitated reading comprehension in bilingual children, with morphosyntactic skills showing no influence. While monolinguals benefitted from a rich vocabulary and good morphosyntactic knowledge for reading speed and accuracy, in bilingual children, only L2 reading speed was affected by linguistic skills

    Braiding as branching at the channel scale: a direct approach to network scaling

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    Braided channel networks (BCNs) represent highly dynamic fluvial systems characterized by multiple intertwined channels shaped by complex sediment transport and flow interactions. This study presents a novel framework to analyze the scaling properties of the braiding index , defined as the number of active wet channels along the river reach, by integrating branching process theory as reported by Harris (The Theory of Branching Processes, Dover Publications Inc, New York, 1989) and self-organized criticality concepts (Bak et al. in Phys Rev Lett 59:381–384, 1987 and Bak et al. in Phys. Rev. A 38:364–374, 1988) and as reported by Jensen (Self-Organized Criticality, Cambridge Lecture Notes in Physics, 1998). Unlike previous approaches, our methodology explicitly connects branching and braiding phenomena at the channel scale, capturing their coupled morphodynamics through stochastic modeling and power-law distributions. The proposed approach reveals the self-organizing behavior of BCNs, whereby local bifurcation and reconnection events give rise to scale-invariant spatial aggregation patterns within the channel network. This framework advances the theoretical understanding of fluvial network topology by linking microscope processes of sediment-bar formation and channel splitting to emergent macroscale geometries, providing new insights into the nonlinear and multiscale dynamics of braided rivers

    ATLAS searches for additional scalars and exotic Higgs boson decays with the LHC Run 2 dataset

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    This report reviews the published results of searches for possible additional scalar particles and exotic decays of the Higgs boson performed by the ATLAS Collaboration using up to 140 fb-1 of 13 TeV proton-proton collision data collected during Run 2 of the Large Hadron Collider. Key results are examined, and observed excesses, while never statistically compelling, are noted. Constraints are placed on parameters of several models which extend the Standard Model, for example by adding one or more singlet or doublet fields, or offering exotic Higgs boson decay channels. Summaries of new searches as well as extensions of previous searches are discussed. These new results have a wider reach or attain stronger exclusion limits. New experimental techniques that were developed for these searches are highlighted. Search channels which have not yet been examined are also listed, as these provide insight into possible future areas of exploration

    Clustering of compound events based on multivariate comonotonicity

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    Driven by the goal of generating risk maps for flood events-characterized by various physical variables such as peak flow and volume, and measured at specific geographic locations- this work proposes several dissimilarity functions for use in unsupervised learning problems and, specifically, in clustering algorithms. These dissimilarities are rank-based, relying on the dependence occurring among the random variables involved, and assign the smallest values to pairs of subsets that are pi-comonotonic. This concept is less restrictive than classical comonotonicity but, in the multivariate case, can offer a more intuitive understanding of compound phenomena. An application of these measures is presented through the analysis of flood risks using data from the Po river basin, with results compared to similar studies found in the literature

    Total Cost of Ownership and Evaluation of Google Cloud Resources for the ATLAS Experiment at the LHC

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    The ATLAS Google Project was established as part of an ongoing evaluation of the use of commercial clouds by the ATLAS Collaboration, in anticipation of the potential future adoption of such resources by WLCG grid sites to fulfil or complement their computing pledges. Seamless integration of Google cloud resources into the worldwide ATLAS distributed computing infrastructure was achieved at large scale and for an extended period of time, and hence cloud resources are shown to be an effective mechanism to provide additional, flexible computing capacity to ATLAS. For the first time a total cost of ownership analysis has been performed, to identify the dominant cost drivers and explore effective mechanisms for cost control. Network usage significantly impacts the costs of certain ATLAS workflows, underscoring the importance of implementing such mechanisms. Resource bursting has been successfully demonstrated, whilst exposing the true cost of this type of activity. A follow-up to the project is underway to investigate methods for improving the integration of cloud resources in data-intensive distributed computing environments and reducing costs related to network connectivity, which represents the primary expense when extensively utilising cloud resources

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