8 research outputs found

    Multilinguisme et variétés linguistiques en Europe à l’aune de l’intelligence artificielle Multilinguismo e variazioni linguistiche in Europa nell’era dell’intelligenza artificiale Multilingualism and Language Varieties in Europe in the Age of Artificial Intelligence

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    Il presente volume Ăš il frutto di una riflessione interdisciplinare e multilingue maturata attorno a diversi eventi organizzati nell’ambito del panel concernente i diritti e le variazioni linguistiche in Europa nell’era dell’intelligenza artificiale all’interno del progetto Artificial Intelligence for European Integration, promosso dal Centro studi sull’Europa TO-EU dell’UniversitĂ  di Torino e cofinanziato dalla Commissione europea. L’interrogativo iniziale che abbiamo voluto sollevare Ăš se l’IA potesse avere un impatto negativo sulle varietĂ  linguistiche e sul multilinguismo, valore “aggiunto” dell’UE, o se potesse, e in che modo, divenire utile per la promozione di essi. Il volume, interamente inedito, puĂČ dirsi tra i primi ad affrontare, almeno in Europa, questo tipo di tematiche.This book is the outcome of an interdisciplinary multilingual reflection carried out on research into linguistic rights, multilingualism and language varieties in Europe in the age of artificial intelligence. It is part of the Artificial Intelligence for European Integration project, promoted by the Centre of European Studies To-EU of the University of Turin and co-financed by the European Commission. Our aim was to investigate more generally the negative and/or positive outcomes of AI on language varieties and multilingualism, the latter a key value for the EU. The result is a volume of original unpublished research being made generally available for the first time, at least in Europe.Ce livre a Ă©tĂ© Ă©laborĂ© Ă  partir d’une rĂ©flexion interdisciplinaire et multilingue qui a Ă©tĂ© menĂ©e dans le cadre d’une recherche sur les droits, le multilinguisme et les variĂ©tĂ©s linguistiques en Europe Ă  l’aune de l’intelligence artificielle Ă  l’intĂ©rieur du projet Artificial Intelligence for European Integration promu par le Centre d’études europĂ©ennes To-EU de l’UniversitĂ© de Turin et cofinancĂ© par la Commission de l’Union europĂ©enne. Notre propos Ă©tait de rĂ©flĂ©chir plus gĂ©nĂ©ralement sur les consĂ©quences nĂ©gatives et/ou positives de l’IA sur les variĂ©tĂ©s linguistiques et le multilinguisme, ce dernier Ă©tant une valeur de l’UE. Ce que nous proposons par ce numĂ©ro est un livre inĂ©dit qui peut se vanter d’ĂȘtre parmi les premiers Ă  s’occuper de ce type de thĂ©matique, du moins en Europe

    Multilocus Genotyping Reveals New Molecular Markers for Differentiating Distinct Genetic Lineages among “Candidatus Phytoplasma Solani” Strains Associated with Grapevine Bois Noir

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    Grapevine Bois noir (BN) is associated with infection by “Candidatus Phytoplasma solani” (CaPsol). In this study, an array of CaPsol strains was identified from 142 symptomatic grapevines in vineyards of northern, central, and southern Italy and North Macedonia. Molecular typing of the CaPsol strains was carried out by analysis of genes encoding 16S rRNA and translation elongation factor EF-Tu, as well as eight other previously uncharacterized genomic fragments. Strains of tuf-type a and b were found to be differentially distributed in the examined geographic regions in correlation with the prevalence of nettle and bindweed. Two sequence variants were identified in each of the four genomic segments harboring hlyC, cbiQ-glyA, trxA-truB-rsuA, and rplS-tyrS-csdB, respectively. Fifteen CaPsol lineages were identified based on distinct combinations of sequence variations within these genetic loci. Each CaPsol lineage exhibited a unique collective restriction fragment length polymorphism (RFLP) pattern and differed from each other in geographic distribution, probably in relation to the diverse ecological complexity of vineyards and their surroundings. This RFLP-based typing method could be a useful tool for investigating the ecology of CaPsol and the epidemiology of its associated diseases. Phylogenetic analyses highlighted that the sequence variants of the gene hlyC, which encodes a hemolysin III-like protein, separated into two clusters consistent with the separation of two distinct lineages on the basis of tufB gene sequences. Alignments of deduced full protein sequences of elongation factor-Tu (tufB gene) and hemolysin III-like protein (hlyC gene) revealed the presence of critical amino acid substitutions distinguishing CaPsol strains of tuf-type a and b. Findings from the present study provide new insights into the genetic diversity and ecology of CaPsol populations in vineyards

    Multi-locus genotyping reveals new molecular markers for differentiating distinct genetic lineages among 'Candidatus Phytoplasma solani' strains associated with grapevine bois noir disease

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    Grapevine Bois noir (BN) is associated with infection by \u201cCandidatus Phytoplasma solani\u201d (CaPsol). In this study, an array of CaPsol strains was identified from 142 symptomatic grapevines in vineyards of northern, central, and southern Italy and North Macedonia. Molecular typing of the CaPsol strains was carried out by analysis of genes encoding 16S rRNA and translation elongation factor EF-Tu, as well as eight other previously uncharacterized genomic fragments. Strains of tuf-type a and b were found to be differentially distributed in the examined geographic regions in correlation with the prevalence of nettle and bindweed. Two sequence variants were identified in each of the four genomic segments harboring hlyC, cbiQ-glyA, trxA-truB-rsuA, and rplS-tyrS-csdB, respectively. Fifteen CaPsol lineages were identified based on distinct combinations of sequence variations within these genetic loci. Each CaPsol lineage exhibited a unique collective restriction fragment length polymorphism (RFLP) pattern and differed from each other in geographic distribution, probably in relation to the diverse ecological complexity of vineyards and their surroundings. This RFLP-based typing method could be a useful tool for investigating the ecology of CaPsol and the epidemiology of its associated diseases. Phylogenetic analyses highlighted that the sequence variants of the gene hlyC, which encodes a hemolysin III-like protein, separated into two clusters consistent with the separation of two distinct lineages on the basis of tufB gene sequences. Alignments of deduced full protein sequences of elongation factor-Tu (tufB gene) and hemolysin III-like protein (hlyC gene) revealed the presence of critical amino acid substitutions distinguishing CaPsol strains of tuf-type a and b. Findings from the present study provide new insights into the genetic diversity and ecology of CaPsol populations in vineyards

    The Coronavirus Anxiety Scale: Cross-National Measurement Invariance and Convergent Validity Evidence

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    Coronavirus Anxiety Scale (CAS) is a widely used measure that captures somatic symptoms of coronavirus-related anxiety. In a large-scale collaboration spanning 60 countries (Ntotal = 21,513), we examined the CAS’s measurement invariance and assessed the convergent validity of CAS scores in relation to the fear of COVID-19 (FCV-19S) and the satisfaction with life (SWLS-3) scales. We utilized both conventional exact invariance tests and alignment procedures, with results revealing that the single-factor model fit the data well in almost all countries. Partial scalar invariance was supported in a subset of 56 countries. To ensure the robustness of results, given the unbalanced samples, we employed resampling techniques both with and without replacement and found the results were more stable in larger samples. The alignment procedure demonstrated a high degree of measurement invariance with 9% of the parameters exhibiting noninvariance. We also conducted simulations of alignment using the parameters estimated in the current model. Findings demonstrated reliability of the means but indicated challenges in estimating the latent variances. Strong positive correlations between CAS and FCV-19S estimated with all three different approaches were found in most countries. Correlations of CAS and SWLS-3 were weak and negative, but significantly differed from zero in several countries. Overall, the study provided support for the measurement invariance of the CAS and offered evidence of its convergent validity while also highlighting issues with variance estimation

    Trust in government moderates the association between fear of COVID-19 as well as empathic concern and preventive behaviour

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    With the COVID-19 pandemic, behavioural scientists aimed to illuminate reasons why people comply with (or not) large-scale cooperative activities. Here we investigated the motives that underlie support for COVID-19 preventive behaviours in a sample of 12,758 individuals from 34 countries. We hypothesized that the associations of empathic prosocial concern and fear of disease with support towards preventive COVID-19 behaviours would be moderated by trust in the government. Results suggest that the association between fear of disease and support for COVID-19 preventive behaviours was strongest when trust in the government was weak (both at individual- and country-level). Conversely, the association with empathic prosocial concern was strongest when trust in the government was high, but this moderation was only found at individual-level scores of governmental trust. We discuss how motivations may be shaped by socio-cultural context, and outline how findings may contribute to a better understanding of collective action during global crises

    The Coronavirus Anxiety Scale: Cross-National Measurement Invariance and Convergent Validity Evidence

    No full text
    Coronavirus Anxiety Scale (CAS) is a widely used measure that captures somatic symptoms of coronavirus-related anxiety. In a large-scale collaboration spanning 60 countries (Ntotal = 21,513), we examined the CAS’s measurement invariance and assessed the convergent validity of CAS scores in relation to the fear of COVID-19 (FCV-19S) and the satisfaction with life (SWLS-3) scales. We utilized both conventional exact invariance tests and alignment procedures, with results revealing that the single-factor model fit the data well in almost all countries. Partial scalar invariance was supported in a subset of 56 countries. To ensure the robustness of results, given the unbalanced samples, we employed resampling techniques both with and without replacement and found the results were more stable in larger samples. The alignment procedure demonstrated a high degree of measurement invariance with 9% of the parameters exhibiting noninvariance. We also conducted simulations of alignment using the parameters estimated in the current model. Findings demonstrated reliability of the means but indicated challenges in estimating the latent variances. Strong positive correlations between CAS and FCV-19S estimated with all three different approaches were found in most countries. Correlations of CAS and SWLS-3 were weak and negative, but significantly differed from zero in several countries. Overall, the study provided support for the measurement invariance of the CAS and offered evidence of its convergent validity while also highlighting issues with variance estimation

    The intracellular interactions of the L1 family of cell adhesion molecules

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    The L1 family of CAMs (cell adhesion molecules) has long aroused the interest of researchers, but primarily the extracellular interactions of these proteins have been elucidated. More recently, attention has turned to the intracellular signalling potentiated by transmembrane proteins and the cytoplasmic proteins with which they can interact. The present review brings up to date the current body of published knowledge for the intracellular interactions of L1-CAM family proteins and the potential importance of these interactions for the mechanisms of L1-CAM action.</p
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