88 research outputs found

    Dyslexia and vocabulary depth in EFL text comprehension

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    The study offers a retrospective analysis of data collected from reading comprehension activities of two groups of English foreign language (EFL) learners, one with and one without dyslexia. The aim of the investigation was to verify whether vocabulary depth corresponds to greater accuracy in answering factual and inferential questions in the two groups. The hypothesis was that depth would be associated with better comprehension even in dyslexic readers’ performance, which was generally poorer than that of the control group. In fact, this was only confirmed for high-range focus words, that is, words that were more deeply known to the participants according to an adapted Word Associates Test. Variable outcomes were observed for mid- and low-range words. A qualitative analysis of the unexpected results was carried out which led to the identification of several factors hindering text comprehension by dyslexic readers. These include a difficulty in selecting the relevant sense of focus words in contexts in which competing elements coexist and a negative interaction between lexical and pragmatic-inferential processing

    Dyslexia and vocabulary depth in EFL text comprehension

    Get PDF
    The study offers a retrospective analysis of data collected from reading comprehension activities of two groups of English foreign language (EFL) learners, one with and one without dyslexia. The aim of the investigation was to verify whether vocabulary depth corresponds to greater accuracy in answering factual and inferential questions in the two groups. The hypothesis was that depth would be associated with better comprehension even in dyslexic readers’ performance, which was generally poorer than that of the control group. In fact, this was only confirmed for high-range focus words, that is, words that were more deeply known to the participants according to an adapted Word Associates Test. Variable outcomes were observed for mid- and low-range words. A qualitative analysis of the unexpected results was carried out which led to the identification of several factors hindering text comprehension by dyslexic readers. These include a difficulty in selecting the relevant sense of focus words in contexts in which competing elements coexist and a negative interaction between lexical and pragmatic-inferential processing

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    An explainable model of host genetic interactions linked to COVID-19 severity

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    We employed a multifaceted computational strategy to identify the genetic factors contributing to increased risk of severe COVID-19 infection from a Whole Exome Sequencing (WES) dataset of a cohort of 2000 Italian patients. We coupled a stratified k-fold screening, to rank variants more associated with severity, with the training of multiple supervised classifiers, to predict severity based on screened features. Feature importance analysis from tree-based models allowed us to identify 16 variants with the highest support which, together with age and gender covariates, were found to be most predictive of COVID-19 severity. When tested on a follow-up cohort, our ensemble of models predicted severity with high accuracy (ACC = 81.88%; AUCROC = 96%; MCC = 61.55%). Our model recapitulated a vast literature of emerging molecular mechanisms and genetic factors linked to COVID-19 response and extends previous landmark Genome-Wide Association Studies (GWAS). It revealed a network of interplaying genetic signatures converging on established immune system and inflammatory processes linked to viral infection response. It also identified additional processes cross-talking with immune pathways, such as GPCR signaling, which might offer additional opportunities for therapeutic intervention and patient stratification. Publicly available PheWAS datasets revealed that several variants were significantly associated with phenotypic traits such as "Respiratory or thoracic disease", supporting their link with COVID-19 severity outcome.A multifaceted computational strategy identifies 16 genetic variants contributing to increased risk of severe COVID-19 infection from a Whole Exome Sequencing dataset of a cohort of Italian patients

    Carriers of ADAMTS13 Rare Variants Are at High Risk of Life-Threatening COVID-19

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    Thrombosis of small and large vessels is reported as a key player in COVID-19 severity. However, host genetic determinants of this susceptibility are still unclear. Congenital Thrombotic Thrombocytopenic Purpura is a severe autosomal recessive disorder characterized by uncleaved ultra-large vWF and thrombotic microangiopathy, frequently triggered by infections. Carriers are reported to be asymptomatic. Exome analysis of about 3000 SARS-CoV-2 infected subjects of different severities, belonging to the GEN-COVID cohort, revealed the specific role of vWF cleaving enzyme ADAMTS13 (A disintegrin-like and metalloprotease with thrombospondin type 1 motif, 13). We report here that ultra-rare variants in a heterozygous state lead to a rare form of COVID-19 characterized by hyper-inflammation signs, which segregates in families as an autosomal dominant disorder conditioned by SARS-CoV-2 infection, sex, and age. This has clinical relevance due to the availability of drugs such as Caplacizumab, which inhibits vWF-platelet interaction, and Crizanlizumab, which, by inhibiting P-selectin binding to its ligands, prevents leukocyte recruitment and platelet aggregation at the site of vascular damage
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