222 research outputs found

    Linguistic Neoliberalism in the European Union. Politics and Policies of the EU's approach to Multilingualism.

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    The European Union has always placed linguistic diversity at the core of Europe’s DNA. The EU’s motto “United in Diversity” is recurrently mentioned when referring to the multiplicity of languages in the continent, which are discursively portrayed as one of Europe’s greatest assets. This EU political rhetoric on multilingualism, however, does not match the policy actions undertaken by the European Union, which point at a decreasing interest in multilingualism. This article seeks to analyze the evolution of the EU’s multilingualism policy over the period 2005-2016 from a Discourse Analysis perspective, which shows an increasing commodification of languages and a utilitarian approach on the EU’s language policy. It argues that while the idea of promotion, protection and respect of linguistic diversity remains in the current EU political rhetoric on languages, the actual policies adopt a market-oriented  approach, which considers languages as mere commodities for economic growth, mobility and jobs. The article ultimately argues that the EU has fully embraced linguistic neoliberalism as its policy on multilingualism –defined as the exclusive focus on language skills for market-oriented purposes

    FROM LANGUAGE POLICY TO LANGUAGE GOVERNANCE:

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    Este artigo oferece algumas reflexões preliminares sobre a necessidade de reconhecer as cidades como intervenientes relevantes na política linguística para além da implementação de políticas linguísticas governamentais, que são de natureza mais ideológica. O artigo começa por fornecer uma visão sucinta de como os Estados contemporâneos estão a impor medidas linguísticas aos migrantes, continua com uma visão geral de como as regiões com línguas minoritárias são "apanhadas no meio", tentando implementar medidas políticas para revitalizar a sua língua enquanto a sua diversidade cada vez mais complexa deriva da mobilidade e migração e, finalmente, propõe a necessidade de incluir o nível local numa "abordagem a vários níveis" da política linguística. Em última análise, o artigo afirma que as abordagens existentes ao estudo da política linguística devem ser alargadas e incluir reflexões do campo da "governação linguística", uma vez que esta abordagem capta a multiplicidade de actores e níveis na elaboração de políticas linguísticas. Em suma, apela à incorporação de reflexões de "governação das línguas" no estudo da política linguística

    In vitro antibacterial activity of antiretroviral drugs on key commensal bacteria from the human microbiota

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    Introduction: Antiretroviral therapy has improved life expectancy in HIV-infected patients. However, people living with HIV under antiretroviral therapy are at higher risks of developing chronic complications and acquiring multidrug resistant bacteria than healthy population. These factors have been associated with shifts in gut microbiome composition and immune activation. It is unclear how antiretroviral drugs affect gut microbiota composition, but it has been observed that antiretroviral treatment is not able to fully restore gut health after HIV infection. Additionally, some antiretroviral drugs have shown antibacterial activity suggesting that these drugs could have a direct impact on the human microbiome composition. Methods: We determined the in vitro antibacterial activity of 16 antiretroviral drugs against a set of key clinically relevant and human commensal bacterial strains. Results: Our results demonstrate that 5 antiretroviral drugs have in vitro antibacterial activity against gut and vaginal human commensal bacteria. Zidovudine has antibacterial activity against Escherichia coli, Klebsiella pneumoniae and Prevotella bivia, abacavir against Gardnerella vaginalis, efavirenz against G. vaginalis and P. bivia and bictegravir against Enterococcus spp. and G. vaginalis. Moreover, we describe for the first time that elvitegravir has antibacterial activity against G. vaginalis and P. bivia and, most importantly, against vancomycin-resistant Enterococcus spp. and methicillin-resistant Staphylococcus aureus strains with MIC values of 4-16 and 4 µg/mL, respectively showing high level of effectiveness against the tested multidrug-resistant bacteria. Discussion: Our results underscore that some antiretroviral drugs may influence the human microbiota composition. In addition, we report the potential use of elvitegravir to treat multidrug-resistant Gram-positive bacteria warranting the need of clinical studies to repurpose this antiretroviral drug

    Use of Fluorescence Spectroscopy and Chemometrics to Visualise Fluoroquinolones Photodegradation Major Trends: A Confirmation Study with Mass Spectrometry

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    [EN] In this work, we employed EEM-PARAFAC (fluorescence excitation-emission matrices-parallel factor analysis) as a low-cost tool to study the oxidation pathways of (fluoro)quinolones. Amounts of 12.5 ¿M of enrofloxacin (ENR), ciprofloxacin (CIP), ofloxacin (OFL), oxolinic acid (OA), and flumequine (FLU), as individual solutions, were irradiated under UVA light. A 5-component PARAFAC model was obtained, four of them related to the parent pollutants, named as ENR-like (including CIP), OFL-like, OA-like, and FLU-like, and an additional one related to photoproducts, called ENRox-like (with an emission red-shift with respect to the ENR-like component). Mass spectrometry was employed to correlate the five PARAFAC components with their plausible molecular structures. Results indicated that photoproducts presenting: (i) hydroxylation or alkyl cleavages exhibited fingerprints analogous to those of the parent pollutants; (ii) defluorination and hydroxylation emitted within the ENRox-like region; (iii) the aforementioned changes plus piperazine ring cleavage emitted within the OA-like region. Afterwards, the five antibiotics were mixed in a single solution (each at a concentration of 0.25 ¿M) in seawater, PARAFAC being also able to deconvolute the fingerprint of humic-like substances. This approach could be a potential game changer in the analysis of (fluorescent) contaminants of emerging concern removals in complex matrices, giving rapid visual insights into the degradation pathways.This work is part of a project that received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 765860 (AQUAlity). The paper reflects only the authors' view and the Agency is not responsible for any use that may be made of the information it contains. The authors also wish to thank the Spanish Ministry of Science and Innovation (MCI) for funding under the AquaEnAgri Project (Reference: PID2021-126400OB-C31). Further thanks goes to the Water JPI-Biodiversa COFUND Program for funding the BIORESET project and supporting the research of the scientist Laura Ferrando Climent.Sciscenko, IM.; García-Negueroles, P.; Amat Payá, AM.; Oller, I.; Escudero-Oñate, C.; Ferrando-Climent, L.; Arqués Sanz, A. (2023). Use of Fluorescence Spectroscopy and Chemometrics to Visualise Fluoroquinolones Photodegradation Major Trends: A Confirmation Study with Mass Spectrometry. Molecules. 28(2). https://doi.org/10.3390/molecules2802077728

    Wastewater treatment by microalgae

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    The growth of the world's population increases the demand for fresh water, food, energy, and technology, which in turn leads to increasing amount of wastewater, produced both by domestic and industrial sources. These different wastewaters contain a wide variety of organic and inorganic compounds which can cause tremendous environmental problems if released untreated. Traditional treatment systems are usually expensive, energy demanding and are often still incapable of solving all challenges presented by the produced wastewaters. Microalgae are promising candidates for wastewater reclamation as they are capable of reducing the amount of nitrogen and phosphate as well as other toxic compounds including heavy metals or pharmaceuticals. Compared to the traditional systems, photosynthetic microalgae require less energy input since they use sunlight as their energy source, and at the same time lower the carbon footprint of the overall reclamation process. This mini-review focuses on recent advances in wastewater reclamation using microalgae. The most common microalgal strains used for this purpose are described as well as the challenges of using wastewater from different origins. We also describe the impact of climate with a particular focus on a Nordic climate

    Towards a European sustainable beneficiation of rare earth elements bearing minerals:a review

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    This review explores the multifaceted aspects of sustainable extraction of rare earth elements (REEs) bearing minerals within Europe, stressing the exploitation of local deposits, that together with the integration of cleaner and greener approaches (including circular economy approaches) might help to reduce dependency on imports and contribute to a greener economy. The mineralogical characteristics and distribution of REEs in European deposits are examined, alongside current and emerging beneficiation techniques aimed at enhancing extraction efficiency and sustainability. Key challenges, such as the mineral extraction complexities (technological and economic limitations), radiochemical and environmental impacts, as well as social acceptance, are critically assessed. Innovative and new approaches that aim to be applied to mainly primary sources (mineral deposits) but also secondary sources (secondary raw materials) are presented and suggested for a sustainable mineral extraction. Finally, Europe's over-dependence on foreign countries and prospects for the mineral extraction of REEs are discussed, outlining a strategic roadmap for achieving sustainable and economically viable extraction practices in Europe. This comprehensive and holistic analysis stresses the importance of an integrated approach that combines developing unexploited mineral resources within Europe, boosting recycling initiatives, technological innovation, implementing environmental standards and community engagement to foster a sustainable REE supply chain within Europe.</p

    Comparison of different removal techniques for selected pharmaceuticals

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    [EN] Recently, there is an emergence of endocrine-disrupting compounds, pharmaceuticals, and personal care products (EDC/PPCPs) as important pollutants to remove from drinking water and reclaimed wastewater. In this work, the efficiency of removing pharmaceuticals (PCs) from model aqueous solutions and raw wastewater with ultrafiltration (UF), nanofiltration (NF), activated carbon adsorption (AC), biological methods (SBR) and oxidation with ClO2 was investigated. Some treatments have also been used as combined processes: UF + NF, UF +AC, SBR + ClO2. Ibuprofen, Acetaminophen, Diclofenac, Sulfamethoxazole, Clonazepam, and Diazepam were selected as model compounds. In order to evaluate their removal, PC solutions were also considered at several operating conditions (pH, conductivity, concentration, and temperature), andoptimal conditions were obtained. Experiments wereperformedatusual PCconcentrations in wastewaters: 1000 ng/L for Ibuprofen and Acetaminophen, 300 ng/L for Diclofenac, Sulfamethoxazole, Clonazepam, and Diazepam. Separation was evaluated by liquid chromatography¿mass spectroscopy. Results indicated that the removal efficiency depends on their Log KOW, which is intrinsically related to their hydrophobicity and then,to their adsorption onto the surface (UF, NF, andAC).Also, NF,AC, and combined processes (UF + NF, UF +AC) were the most suitable separation techniques to obtain high removal efficiencies for most of the PCs used, except for Acetaminophen (which showed great removal efficacy using SBR). UF presented low removal yields for all PCs tested. ClO2 treatment was more effective at high concentration (50 mg ClO2/L). Furthermore, results also showed that there are significant differences on the performance of the processes applied and which treatment is the most effective for each PC analyzed. © 2015 Elsevier Ltd. All rights reserved.The authors of this work wish to gratefully acknowledge the financial support from the Spanish Ministry of Economy and Competitiveness through the project CTM2013-42342-P.Vona, A.; Di Martino, F.; García-Ivars, J.; Picó, Y.; Mendoza Roca, JA.; Iborra Clar, MI. (2015). Comparison of different removal techniques for selected pharmaceuticals. Journal of Water Process Engineering. 5:48-57. https://doi.org/10.1016/j.jwpe.2014.12.011S4857

    Translating microarray data for diagnostic testing in childhood leukaemia

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    BACKGROUND: Recent findings from microarray studies have raised the prospect of a standardized diagnostic gene expression platform to enhance accurate diagnosis and risk stratification in paediatric acute lymphoblastic leukaemia (ALL). However, the robustness as well as the format for such a diagnostic test remains to be determined. As a step towards clinical application of these findings, we have systematically analyzed a published ALL microarray data set using Robust Multi-array Analysis (RMA) and Random Forest (RF). METHODS: We examined published microarray data from 104 ALL patients specimens, that represent six different subgroups defined by cytogenetic features and immunophenotypes. Using the decision-tree based supervised learning algorithm Random Forest (RF), we determined a small set of genes for optimal subgroup distinction and subsequently validated their predictive power in an independent patient cohort. RESULTS: We achieved very high overall ALL subgroup prediction accuracies of about 98%, and were able to verify the robustness of these genes in an independent panel of 68 specimens obtained from a different institution and processed in a different laboratory. Our study established that the selection of discriminating genes is strongly dependent on the analysis method. This may have profound implications for clinical use, particularly when the classifier is reduced to a small set of genes. We have demonstrated that as few as 26 genes yield accurate class prediction and importantly, almost 70% of these genes have not been previously identified as essential for class distinction of the six ALL subgroups. CONCLUSION: Our finding supports the feasibility of qRT-PCR technology for standardized diagnostic testing in paediatric ALL and should, in conjunction with conventional cytogenetics lead to a more accurate classification of the disease. In addition, we have demonstrated that microarray findings from one study can be confirmed in an independent study, using an entirely independent patient cohort and with microarray experiments being performed by a different research team

    Ecotoxicity of disinfectant benzalkonium chloride and its mixture with antineoplastic drug 5-fluorouracil towards alga Pseudokirchneriella subcapitata

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    Background Benzalkonium chloride (BAC) is one of the most common ingredients of the disinfectants. It is commonly detected in surface and wastewaters where it can interact with the residues of pharmaceuticals that are also common wastewater pollutants. Among the latter, the residues of antineoplastic drugs are of particular concern as recent studies showed that they can induce adverse effect in aquatic organisms at environmentally relevant concentrations. Methods Ecotoxicity of BAC as an individual compound and in a binary mixture with an antineoplastic drug 5-fluorouracil (5-FU) was determined towards alga Pseudokirchneriella subcapitata, a representative of primary producers. The toxicity of the BAC+5-FU binary mixture was predicted by the two basic models: concentration addition (CA) and independent action (IA), and compared to the experimentally determined toxicity. Additionally combination index (CI) was calculated to determine the type of interaction. Results After 72 h exposure to BAC a concentration dependent growth inhibition of P. subcapitata was observed with an EC50 0.255 mg/L. Comparing the predicted no effect concentration to the measured concentrations in the surface waters indicate that BAC at current applications and occurrence in aquatic environment may affect algal populations. The measured toxicity of the mixture was higher from the predicted and calculated CI confirmed synergistic effect on the inhibition of algal growth, at least at EC50 concentration. The observed synergism may have impact on the overall toxicity of wastewaters, whereas it is less likely for general environments because the concentrations of 5-FU are several orders of magnitude lower from its predicted no effect concentration. Discussion These results indicate that combined effects of mixtures of disinfectants and antineoplastic drugs should be considered in particular when dealing with environmental risk assessment as well as the management of municipal and hospital wastewaters

    Key Factors Associated With Pulmonary Sequelae in the Follow-Up of Critically Ill COVID-19 Patients

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    Introduction: Critical COVID-19 survivors have a high risk of respiratory sequelae. Therefore, we aimed to identify key factors associated with altered lung function and CT scan abnormalities at a follow-up visit in a cohort of critical COVID-19 survivors. Methods: Multicenter ambispective observational study in 52 Spanish intensive care units. Up to 1327 PCR-confirmed critical COVID-19 patients had sociodemographic, anthropometric, comorbidity and lifestyle characteristics collected at hospital admission; clinical and biological parameters throughout hospital stay; and, lung function and CT scan at a follow-up visit. Results: The median [p25–p75] time from discharge to follow-up was 3.57 [2.77–4.92] months. Median age was 60 [53–67] years, 27.8% women. The mean (SD) percentage of predicted diffusing lung capacity for carbon monoxide (DLCO) at follow-up was 72.02 (18.33)% predicted, with 66% of patients having DLCO < 80% and 24% having DLCO < 60%. CT scan showed persistent pulmonary infiltrates, fibrotic lesions, and emphysema in 33%, 25% and 6% of patients, respectively. Key variables associated with DLCO < 60% were chronic lung disease (CLD) (OR: 1.86 (1.18–2.92)), duration of invasive mechanical ventilation (IMV) (OR: 1.56 (1.37–1.77)), age (OR [per-1-SD] (95%CI): 1.39 (1.18–1.63)), urea (OR: 1.16 (0.97–1.39)) and estimated glomerular filtration rate at ICU admission (OR: 0.88 (0.73–1.06)). Bacterial pneumonia (1.62 (1.11–2.35)) and duration of ventilation (NIMV (1.23 (1.06–1.42), IMV (1.21 (1.01–1.45)) and prone positioning (1.17 (0.98–1.39)) were associated with fibrotic lesions. Conclusion: Age and CLD, reflecting patients’ baseline vulnerability, and markers of COVID-19 severity, such as duration of IMV and renal failure, were key factors associated with impaired DLCO and CT abnormalities
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