Beyond the boundaries: migration discourse in EU parliamentary debates

Immigration has emerged as a prevalent political issue throughout the entire European Union over the past few years. Hardly a day goes by without news stories of people fleeing the Middle East and Northern Africa to reach the shores of Europe, or without an act of violence, the emergence of a new association or political party, or debates on policy initiatives taken by EU Member States. In this respect, and in ways which were almost completely ‘unexpected’ some years ago, nearly every single aspect of political discussion has been affected by the issue of immigration. In every European country new movements have emerged, anti-immigrant political parties have obtained electoral advances and have altered the balance of political forces. This new balance has influenced policy changes in the EU as Members States have attempted to deal with the challenges that threaten understandings, agreements, social policy and the political and social construction of Europe itself. By adopting CDA (Fairclough 1995, 2013; van Dijk 1984; Wodak 1997) and Zapata-Barrero’s distinction between re-active and pro-active discourse (2007), this work analyses a corpus of EU parliamentary debates on migration. The aim was to ascertain whether and to what extent the interventions taken into consideration negatively react against the process of integration and multiculturalism resulting from the arrival of migrants or whether they instead positively accompany the process and consider it a historic opportunity and not a threat. The ad hoc corpus, which covers a time span of three years – from 2016 to 2018 – will be investigated both quantitatively and qualitatively in order to identify the most frequent lexemes and their co-occurring patterns of usage along with the most recurrent or relevant phraseology in the verbatim reports. The interventions under scrutiny deal with migration issues, such as the flow of migrants legally or illegally entering the EU, asylum seekers, undocumented residents, borders and boundaries, thus allowing for the exploration of re-active and pro-active discourse constructions and of the strategies of legitimation used by MPs who try to demonstrate that their policies and actions towards immigration are legitimate, and executed within the boundaries and barriers of moral order and correct procedures (van Leeuwen, Wodak 1999; van Leeuwen 2007)

Parallel corpora and ST analysis: EU regulations on immigration in the specialised translation classroom

Starting from the assumption that “if corpora are to play a role in the translation professions of tomorrow, it is important that they impact on the education of the students of today” (Bernardini & Castagnoli, 2008, p. 40), this study endeavours to show how translation corpora of parallel texts (in English and in Italian) can be used in a Specialised Translation Master’s degree classroom. The point of departure is to examine parallel or aligned texts (originals and their translations) taken from the various European Union websites available for citizens to read and consult. The corpora currently being gathered include a variety of text typologies ranging from legal documents (such as regulations or directives), to administrative documents (such as White and Green papers) or informative texts (such as leaflets, brochures or web texts) (Felici, 2010, p. 101), all of them dealing with migration and asylum issues. The various types of documents are analysed quantitatively and qualitatively in class according to the following three main methodologies: Corpus Linguistics (Stubbs, 1996), Genre Analysis (Swales, 1990; Bhatia, 1993) and Systemic Functional Linguistics (Halliday, 1985; Halliday & Matthiessen, 2004). Classroom experiences in the past few years have shown that building ad hoc corpora (or do-it-yourself corpora as coined by Krüger, 2012, p. 514) for classroom consumption is a valuable and precious learning tool which enables students to hone their practical skills in the resource gathering process and consequently in the translation process itself. This study focuses on an EU regulation and shows how a lesson in class can be conducted with students at Cagliari University, Italy. The aim is to get students to work on the quantitative aspects along with the more qualitative linguistic elements of the ST (Source Text) in order to obtain greater awareness and understanding of professional translator strategies used by the professionals in the translation agencies of European Union institutions. From an educational and academic point of view, the linguistic and contrastive analysis of certain features of the ST along with the investigation of specialised terminology associated with contexts of migration and asylum and their equivalents in the TT (Target Text), have so far provided the Master’s students at Cagliari University with useful insights and sound knowledge of the linguistic characteristics of legal and institutional discourse in both English and Italian

“Acting in accordance with the ordinary legislative procedure…”: metadiscourse in EU regulations on immigration

The ongoing Pan-European integration process has profoundly influenced the nature of European law and its development, demanding a review of “the ways of how language […] is materialized” (Gibová, 2009, p. 192). EU multilingualism is thus becoming an intricate concept since “EU translation is […] becoming the language of Europe” (Gibová, 2009, p. 192) encompassing a supranational view of the world conveyed in EU-wide legislation. Very much in line with this assumption, and taking into account the teaching experience in Specialised Translation Masters’ courses training would-be professional translators, this study examines a corpus of European Parliament Regulations on immigration.In order to understand whether dissimilarities and/or congruencies occur between the EU working language, i.e., English, and the Italian versions, the metadiscourse framework by Hyland (2005), comprising both interactive and interactional features, is used as the point of departure for the analysis of parallel texts. The Regulations produced by EU institutions and conveyed and transmitted both in English as a “procedural language” (Wagner, Bech, &Martίnez, 2012) as well as in Italian have been scrutinized both quantitatively and qualitatively, in order to draw precious pedagogical implications for translation studies and professional practice for future qualified and trained translators

A model-agnostic algorithm for Bayes error determination in binary classification

This paper presents the intrinsic limit determination algorithm (ILD Algorithm), a novel technique to determine the best possible performance, measured in terms of the AUC (area under the ROC curve) and accuracy, that can be obtained from a specific dataset in a binary classification problem with categorical features regardless of the model used. This limit, namely, the Bayes error, is completely independent of any model used and describes an intrinsic property of the dataset. The ILD algorithm thus provides important information regarding the prediction limits of any binary classification algorithm when applied to the considered dataset. In this paper, the algorithm is described in detail, its entire mathematical framework is presented and the pseudocode is given to facilitate its implementation. Finally, an example with a real dataset is given

Vaccination attitude and communication in early settings: An exploratory study

Background: This study assesses attitudes towards vaccination in mothers of new-born babies and explores its association with different exposures to communication. Methods: Data were collected through questionnaires administered by means of interviews. Results: Data highlighted that 20% of mothers showed an orientation towards vaccine hesitancy. As for the reasons behind the attitude to vaccine hesitancy, data showed that concern is a common feature. As for the different exposures to communication, 49% of mothers did not remember having received or looked for any information about vaccination during pregnancy and post-partum; 25% stated they received information from several healthcare and non-healthcare sources; 26% declared having received or looked for information by means of healthcare and non-healthcare sources, as well as having taken part in a specific meeting during antenatal classes or at birth centres. The attitude towards vaccine hesitancy tends to reduce as exposure to different communication increases. Conclusions: This study supports the hypothesis that participation in interactive meetings in small groups focused on vaccination during the prenatal course or at the birth point may act as an enabling factor contributing to a decrease in the tendency to experience vaccine hesitation

Glucorticoid receptor in human cutaneous melanoma: immunohistochemical and immunofluorescence study

GR is a nuclear receptor which, when activated by its specific ligand, can act as a transcription factor that binds to glucocorticoid response elements (GRE) or negative GRE. It affects inflammatory responses, differentiation and cell proliferation. The ligand activated glucocorticoid receptor induces a G1 cell cycle arrest or apoptosis in immature thymocytes and impairs proliferation of fibroblasts of undifferentiated mammary epithelial cells. It impairs proliferation and differentiation of neural progenitor cells in vivo and in vitro. Glucocorticoids are widely used in cancer therapy and have cell type-specific pro- or antiapoptotic effects. In melanoma, however, the antitumor activity of glucocorticoids remains an open question. A recent report demonstrated that in mouse embryo tissue and in human undifferentiated cells, cytoplasmic accumulation of GR is determined by nestin in conjunction with vimentin, copolymerised into an intermediate filament system, and that this anchoring of GR to the nestin/vimentin etheromeric complex is related to the maintenance of a high proliferation rate. The aim of this study was to analyse the expression of subcellular GR in cutaneous melanoma by immunofluorescence, immunohistochemistry and laser scanning confocal microscopy and to evaluate any effect in melanoma progression. The results will be discussed

Brain-reactive autoantibodies in neuropsychiatric systemic lupus erythematosus

IntroductionThe pathogenesis of neuropsychiatric systemic lupus erythematosus (NPSLE) is widely unknown, and the role of autoantibodies is still undetermined. MethodsTo identify brain-reactive autoantibodies possibly related to NPSLE, immunofluorescence (IF) and transmission electron microscopy (TEM) on rat and human brains were performed. ELISA was used to reveal the presence of known circulating autoantibodies, while western blot (WB) was applied to characterize potential unknown autoantigen(s). ResultsWe enrolled 209 subjects, including patients affected by SLE (n=69), NPSLE (n=36), Multiple Sclerosis (MS, n=22), and 82 age- and gender-matched healthy donors (HD). Autoantibody reactivity by IF was observed in almost the entire rat brain (cortex, hippocampus, and cerebellum) using sera from NPSLE and SLE patients and was virtually negative in MS and HD. NPSLE showed higher prevalence (OR 2.4; p = 0.047), intensity, and titer of brain-reactive autoantibodies than SLE patients. Most of the patient sera with brain-reactive autoantibodies (75%) also stained human brains. Double staining experiments on rat brains mixing patients' sera with antibodies directed against neuronal (NeuN) or glial markers showed autoantibody reactivity restricted to NeuN-containing neurons. Using TEM, the targets of brain-reactive autoantibodies were located in the nuclei and, to a lesser extent, in the cytoplasm and mitochondria. Given the high degree of colocalization between NeuN and brain-reactive autoantibodies, we assumed NeuN was a possible autoantigen. However, WB analysis with HEK293T cell lysates expressing or not expressing the gene encoding for NeuN protein (RIBFOX3) showed that patients' sera carrying brain-reactive autoantibodies did not recognize the NeuN corresponding band size. Among the panel of NPSLE-associated autoantibodies (e.g., anti-NR2, anti-P-ribosomal protein, antiphospholipid) investigated by ELISA assay, only the anti-& beta;2-glycoprotein-I (a & beta;2GPI) IgG was exclusively found in those sera containing brain-reactive autoantibodies. ConclusionIn conclusion, SLE and NPSLE patients possess brain-reactive autoantibodies but with higher frequency and titers found in NPSLE patients. Although many target antigens of brain-reactive autoantibodies are still undetermined, they likely include & beta;2GPI

A Machine Learning Approach for Mortality Prediction in COVID-19 Pneumonia: Development and Evaluation of the Piacenza Score

Background: Several models have been developed to predict mortality in patients with COVID-19 pneumonia, but only a few have demonstrated enough discriminatory capacity. Machine learning algorithms represent a novel approach for the data-driven prediction of clinical outcomes with advantages over statistical modeling.Objective: We aimed to develop a machine learning-based score-the Piacenza score-for 30-day mortality prediction in patients with COVID-19 pneumonia.Methods: The study comprised 852 patients with COVID-19 pneumonia, admitted to the Guglielmo da Saliceto Hospital in Italy from February to November 2020. Patients' medical history, demographics, and clinical data were collected using an electronic health record. The overall patient data set was randomly split into derivation and test cohorts. The score was obtained through the naive Bayes classifier and externally validated on 86 patients admitted to Centro Cardiologico Monzino (Italy) in February 2020. Using a forward-search algorithm, 6 features were identified: age, mean corpuscular hemoglobin concentration, PaO2/FiO(2) ratio, temperature, previous stroke, and gender. The Brier index was used to evaluate the ability of the machine learning model to stratify and predict the observed outcomes. A user-friendly website was designed and developed to enable fast and easy use of the tool by physicians. Regarding the customization properties of the Piacenza score, we added a tailored version of the algorithm to the website, which enables an optimized computation of the mortality risk score for a patient when some of the variables used by the Piacenza score are not available. In this case, the naive Bayes classifier is retrained over the same derivation cohort but using a different set of patient characteristics. We also compared the Piacenza score with the 4C score and with a naive Bayes algorithm with 14 features chosen a priori.Results: The Piacenza score exhibited an area under the receiver operating characteristic curve (AUC) of 0.78 (95% CI 0.74-0.84, Brier score=0.19) in the internal validation cohort and 0.79 (95% CI 0.68-0.89, Brier score=0.16) in the external validation cohort, showing a comparable accuracy with respect to the 4C score and to the naive Bayes model with a priori chosen features; this achieved an AUC of 0.78 (95% CI 0.73-0.83, Brier score=0.26) and 0.80 (95% CI 0.75-0.86, Brier score=0.17), respectively.Conclusions: Our findings demonstrated that a customizable machine learning-based score with a purely data-driven selection of features is feasible and effective for the prediction of mortality among patients with COVID-19 pneumonia

Brain-reactive autoantibodies in neuropsychiatric systemic lupus erythematosus

IntroductionThe pathogenesis of neuropsychiatric systemic lupus erythematosus (NPSLE) is widely unknown, and the role of autoantibodies is still undetermined.MethodsTo identify brain-reactive autoantibodies possibly related to NPSLE, immunofluorescence (IF) and transmission electron microscopy (TEM) on rat and human brains were performed. ELISA was used to reveal the presence of known circulating autoantibodies, while western blot (WB) was applied to characterize potential unknown autoantigen(s).ResultsWe enrolled 209 subjects, including patients affected by SLE (n=69), NPSLE (n=36), Multiple Sclerosis (MS, n=22), and 82 age- and gender-matched healthy donors (HD). Autoantibody reactivity by IF was observed in almost the entire rat brain (cortex, hippocampus, and cerebellum) using sera from NPSLE and SLE patients and was virtually negative in MS and HD. NPSLE showed higher prevalence (OR 2.4; p = 0.047), intensity, and titer of brain-reactive autoantibodies than SLE patients. Most of the patient sera with brain-reactive autoantibodies (75%) also stained human brains. Double staining experiments on rat brains mixing patients’ sera with antibodies directed against neuronal (NeuN) or glial markers showed autoantibody reactivity restricted to NeuN-containing neurons. Using TEM, the targets of brain-reactive autoantibodies were located in the nuclei and, to a lesser extent, in the cytoplasm and mitochondria. Given the high degree of colocalization between NeuN and brain-reactive autoantibodies, we assumed NeuN was a possible autoantigen. However, WB analysis with HEK293T cell lysates expressing or not expressing the gene encoding for NeuN protein (RIBFOX3) showed that patients’ sera carrying brain-reactive autoantibodies did not recognize the NeuN corresponding band size. Among the panel of NPSLE-associated autoantibodies (e.g., anti-NR2, anti-P-ribosomal protein, antiphospholipid) investigated by ELISA assay, only the anti-β2-glycoprotein-I (aβ2GPI) IgG was exclusively found in those sera containing brain-reactive autoantibodies.ConclusionIn conclusion, SLE and NPSLE patients possess brain-reactive autoantibodies but with higher frequency and titers found in NPSLE patients. Although many target antigens of brain-reactive autoantibodies are still undetermined, they likely include β2GPI