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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    We have before us the sixth issue of INSAM Journal of Contemporary Music, Art and Technology. This is the second issue in a row dedicated to the global crisis caused by the Covid-19 pandemic. After the overwhelming response from all over the world to the call for papers and provocative inspections that ensued, here we wanted to discuss the ways in which technology shapes and enables work in the areas of music, arts, humanities, and the education process, this time inviting our collaborators to discuss the shortcomings and struggles of the working processes in these fields. The main theme, “Music, Art and Humanities in the Time of Global Crisis”, expanded from the Main Theme section into the interviews as well.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DAIS - Digitalni arh...arrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ DAIS - Digitalni arh...arrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Morales-Vives F; Dueñas JM; Ferrando PJ; Vigil-Colet A; Varea MD;

    Several studies in different countries have reported that part of the population does not fully comply with the measures recommended to prevent COVID-19, and therefore poses a risk to public health. For this reason, several measures have been developed to assess the level of compliance, although many of them have methodological limitations or do not include a comprehensive set of items. The main goal of the current study was to develop a new instrument with suitable psychometric properties, which includes a more complete set of items and controls the impact of acquiescence bias. The participants were 1410 individuals (59.2% women) from Spain, who answered the new questionnaire and several items on sociodemographic and attitudinal issues. Exploratory and confirmatory factor analyses were carried out, and the results suggested that only one content factor was underlying the data. This solution was replicated in a different subsample, which shows the stability of the solution. Furthermore, the relationships between the scores of the new questionnaire and the sociodemographic and attitudinal variables are similar to those obtained in previous studies, which can be regarded as evidence of the validity of the new questionnaire.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Recolector de Cienci...arrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Vicens P; Heredia L; Bustamante E; Pérez Y; Domingo JL; Torrente M;

    The petrochemical industry has made the economic development of many local communities possible, increasing employment opportunities and generating a complex network of closely-related secondary industries. However, it is known that petrochemical industries emit air pollutants, which have been related to different negative effects on mental health. In addition, many people around the world are being exposed to highly stressful situations deriving from the COVID-19 pandemic and the lockdowns adopted by national and regional governments. The present study aims to analyse the possible differential effects on various psychological outcomes (stress, anxiety, depression and emotional regulation strategies) stemming from the COVID-19 pandemic and consequent lockdown experienced by individuals living near an important petrochemical complex and subjects living in other areas, nonexposed to the characteristic environmental pollutants emitted by these kinds of complex. The sample consisted of 1607 subjects who answered an ad hoc questionnaire on lockdown conditions, the Perceived Stress Scale (PSS), the Hospital Anxiety and Depression Scale (HADS), the Barratt Impulsivity Scale (BIS) and the Emotional Regulation Questionnaire (ERQ). The results indicate that people living closer to petrochemical complexes reported greater risk perception [K = 73.42, p < 0.001, with a medium size effect (η = 0.061)]. However, no significant relationship between psychological variables and proximity to the focus was detected when comparing people living near to or far away from a chemical/petrochemical complex. Regarding the adverse psychological effects of the first lockdown due to COVID-19 on the general population in Catalonia, we can conclude that the conditions included in this survey were mai

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Recolector de Cienci...arrow_drop_down
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
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    Authors: García-Yeste C; López de Aguileta Jaussi A; Duque E; Padrós M;

    There is an extensive literature on the importance of the use of scientific evidence on teaching methods in higher education institutions. However, there is a gap in how evidence is used for decision making that affects students and staff in universities. This article is a contribution to the existing gap, making the analysis of a specific case on how Catalan universities have managed the decision making regarding their staff in the face of the pandemic situation with the COVID-19. In this article, through the interview with managers and faculty from different Catalan universities, it will be shown to what extent these university institutions have opted for decision making in the management of the situation based on scientific evidence or simply compliance with government regulations.

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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Chatterjee, Avishek; Nardi, Cosimo; Oberije, Cary; Lambin, Philippe;

    Background: Searching through the COVID-19 research literature to gain actionable clinical insight is a formidable task, even for experts. The usefulness of this corpus in terms of improving patient care is tied to the ability to see the big picture that emerges when the studies are seen in conjunction rather than in isolation. When the answer to a search query requires linking together multiple pieces of information across documents, simple keyword searches are insufficient. To answer such complex information needs, an innovative artificial intelligence (AI) technology named a knowledge graph (KG) could prove to be effective. Methods: We conducted an exploratory literature review of KG applications in the context of COVID-19. The search term used was "covid-19 knowledge graph". In addition to PubMed, the first five pages of search results for Google Scholar and Google were considered for inclusion. Google Scholar was used to include non-peer-reviewed or non-indexed articles such as pre-prints and conference proceedings. Google was used to identify companies or consortiums active in this domain that have not published any literature, peer-reviewed or otherwise. Results: Our search yielded 34 results on PubMed and 50 results each on Google and Google Scholar. We found KGs being used for facilitating literature search, drug repurposing, clinical trial mapping, and risk factor analysis. Conclusions: Our synopses of these works make a compelling case for the utility of this nascent field of research.

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    NARCIS
    Other ORP type . 2021
    Data sources: NARCIS
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    Το έτος 2021 ανακηρύχθηκε από τον Οργανισμό Ηνωμένων Εθνών ως το Διεθνές Έτος Δημιουργικής Οικονομίας για την Βιώσιμη Ανάπτυξη. Το γεγονός αυτό, σε συνδυασμό με τα νέα δεδομένα που δημιούργησε η πανδημία covid-19 σε παγκόσμιο επίπεδο, υπογραμμίζουν τη σημασία των ασύρματων δικτύων επικοινωνίας για την εδραίωση μίας βραχυπρόθεσμης, μεσοπρόθεσμης και, κυρίως, μακροπρόθεσμης ευημερίας για κάθε πολιτιστικό φορέα. Σήμερα, την εποχή της τέταρτης τεχνολογικής επανάστασης, η ψηφιακή πραγματικότητα κερδίζει ολοένα και περισσότερο έδαφος επηρεάζοντας καθοριστικά τους όρους του οικονομικού γίγνεσθαι. Στόχος της παρούσας μελέτης είναι να χαρτογραφηθεί ο ορίζοντας του σύγχρονου ψηφιακού marketing των φορέων πολιτισμού, αναδεικνύοντας παράλληλα τις νέες προοπτικές και τάσεις του χώρου. Στο δεύτερο μέρος της μελέτης, θα επιχειρηθεί η εφαρμογή στην πράξη των πορισμάτων του πρώτου μέρους, μέσα από τη δημιουργία ιστοσελίδας για ένα μη κερδοσκοπικό οργανισμό με στόχο την προώθηση πολιτιστικού αποθέματος. Συγκεκριμένα, έπειτα από επικοινωνία με την Πρόεδρο του Σωματείου «Φίλοι των Μουσείων», κυρία Λίλα ντε Τσάβες, δόθηκε η δυνατότητα για πιλοτική αναδιαμόρφωση και αναβάθμιση του ιστοτόπου «Heritage & Museums», προκείμενου το εν λόγω website να συμμορφωθεί με τις σύγχρονες επιταγές marketing και να γίνει πιο φιλικό προς το χρήστη. Ακόμη, στο πλαίσιο της εργασίας θα καταρτισθεί πλάνο marketing ψηφιακής πολιτικής του φορέα σε βάθος ενός έτους, προκειμένου να αποτυπωθούν οι κατευθυντήριες γραμμές του θεωρητικού πλαισίου, όπως αυτό διαμορφώθηκε στο πρώτο μέρος. Εργαλεία για την εκπόνηση της μελέτης θα είναι η ελληνόγλωσση και ξενόγλωσση βιβλιογραφία και δικτυογραφία, καθώς και ο ηλεκτρονικός συγκριτισμός μεταξύ ιστοτόπων φορέων με ανάλογους στόχους και περιεχόμενο. Τέλος, στο πρακτικό μέρος της εργασίας θα αξιοποιηθούν τα μοντέλα ανάλυσης S.O.S.T.A.C, P.E.S.T.E.L και S.W.O.T κ.ά., όπως αυτά προσφέρονται από την επιστήμη του marketing. The United Nations has designated 2021 as the International Year of Creative Economy for Sustainable Development. This fact, when combined with the new data generated by the Covid -9 pandemic on a global scale, emphasises the importance of wireless communication networks in establishing short-term, medium-term, and, most importantly, long-term prosperity for every cultural institution. The goal of this research is to sketch out the landscape of modern digital marketing for cultural organisations while highlighting new perspectives and trends. The findings of the first part of the study will be put into practise in the second part of the study through the design of a website for a non-profit organisation promoting cultural heritage. The Greek-language and foreign-language bibliographies, as well as an electronic comparison of websites with similar goals and content, will be used to set up the study. Finally, the S.O.S.T.A.C, P.E.S.T.E.L, and S.W.O.T models will be used in the practical section of the paper.

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    Authors: Erjavec, Tomaž; Ogrodniczuk, Maciej; Osenova, Petya; Ljubešić, Nikola; +35 Authors

    ParlaMint is a multilingual set of comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (after October 2019), or being "reference" (before that date). The corpora have extensive metadata, including aspects of the parliament; the speakers (name, gender, MP status, party affiliation, party coalition/opposition); are structured into time-stamped terms, sessions and meetings; with speeches being marked by the speaker and their role (e.g. chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. Note that some corpora have further information, e.g. the year of birth of the speakers, links to their Wikipedia articles, their membership in various committees, etc. The corpora are encoded according to the Parla-CLARIN TEI recommendation (https://clarin-eric.github.io/parla-clarin/), but have been validated against the compatible, but much stricter ParlaMint schemas. This entry contains the ParlaMint TEI-encoded corpora with the derived plain text version of the corpus along with TSV metadata on the speeches. Also included is the 2.0 release of the data and scripts available at the GitHub repository of the ParlaMint project. Note that there also exists the linguistically marked-up version of the corpus, which is available at http://hdl.handle.net/11356/1405.

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    CLARIN.SI repository
    Other ORP type . 2021
    Data sources: B2FIND
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      Other ORP type . 2021
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    Authors: Caselli, Tommaso; Egger, Clara; Tziafas, Georgios; De Saint-Phalle, Eugenie;

    EXCEPTIUS Corpus v1.0, containing the following data: - raw documents for 21 countries at national level - pre-processed data with spacy-udpipe v1.0 - automatically annotated documents for the identification of exceptional measures at sentence level Country list (ISO 3166-1 alpha-2): AT, BE, HR, CY, CZ, DK, FR, DE, HU, IE, IT, LV, LT, NL, NO, PL, SI, SE, CH, UK Folder structure: each country has a dedicated folder. Inside each folder you will find the following subfolders: - raw_text: the raw text data (.txt format) - processed: the output of the spacy-udpipe v1.0 - each line is a sentence, containing the following info: tokens, lemma, POS, UD dependency relations - model: the predictions of the trained model (XML pre@36 as reported in Table 4 of the paper). Each line is a sentence, separate by 9 tab - each for a exceptional measure class. 1: signals presence of a class. The Italy and Norway folder misses the predictions of the models.

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    Other ORP type . 2021
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Kralj Novak, Petra; Mozetič, Igor; Ljubešić, Nikola;

    A hand-labeled training (50,000 tweets labeled twice) and evaluation set (10,000 tweets labeled twice) for hate speech on Slovenian Twitter. The data files contain tweet IDs, hate speech type, hate speech target, and annotator ID. For obtaining the full text of the dataset, please contact the first author. Hate speech type: 1. Appropriate - has no target 2. Inappropriate (contains terms that are obscene, vulgar; but the text is not directed at any person specifically) - has no target 3. Offensive (including offensive generalization, contempt, dehumanization, indirect offensive remarks) 4. Violent (author threatens, indulges, desires, or calls for physical violence against a target; it also includes calling for, denying, or glorifying war crimes and crimes against humanity) Hate speech target: 1. Racism (intolerance based on nationality, ethnicity, language, towards foreigners; and based on race, skin color) 2. Migrants (intolerance of refugees or migrants, offensive generalization, call for their exclusion, restriction of rights, non-acceptance, denial of assistance…) 3. Islamophobia (intolerance towards Muslims) 4. Antisemitism (intolerance of Jews; also includes conspiracy theories, Holocaust denial or glorification, offensive stereotypes…) 5. Religion (other than above) 6. Homophobia (intolerance based on sexual orientation and / or identity, calls for restrictions on the rights of LGBTQ persons 7. Sexism (offensive gender-based generalization, misogynistic insults, unjustified gender discrimination) 8. Ideology (intolerance based on political affiliation, political belief, ideology… e.g. “communists”, “leftists”, “home defenders”, “socialists”, “activists for…”) 9. Media (journalists and media, also includes allegations of unprofessional reporting, false news, bias) 10. Politics (intolerance towards individual politicians, authorities, system, political parties) 11. Individual (intolerance toward any other individual due to individual characteristics; like commentator, neighbor, acquaintance ) 12. Other (intolerance towards members of other groups due to belonging to this group; write in the blank column on the right which group it is) Training dataset The training set is sampled from data collected between December 2017 and February 2020. The sampling was intentionally biased to contain as much hate speech as possible. A simple model was used to flag potential hate speech content and additionally, filtering by users and by tweet length (number of characters) was applied. 50,000 tweets were selected for annotation. Evaluation dataset The evaluation set is sampled from data collected between February 2020 and August 2020. Contrary to the training set, the evaluation set is an unbiased random sample. Since the evaluation set is from a later period compared to the training set, the possibility of data linkage is minimized. Furthermore, the estimates of model performance made on the evaluation set are realistic, or even pessimistic, since the evaluation set is characterized by a new topic: Covid-19. 10,000 tweets were selected for the evaluation set. Annotation results Each tweet was annotated twice: In 90% of the cases by two different annotators and in 10% of the cases by the same annotator. Special attention was devoted to evening out the overlap between annotators to get agreement estimates on equally sized sets. Ten annotators were engaged for our annotation campaign. They were given annotation guidelines, a training session, and a test on a small set to evaluate their understanding of the task and their commitment before starting the annotation procedure. Annotator agreement in terms of Krippendorff Alpha is around 0.6. Annotation agreement scores are detailed in the accompanying report files for each dataset separately. The annotation process lasted four months, and it required about 1,200 person-hours for the ten annotators to complete the task.

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    Authors: Iftimie S; López-Azcona AF; Vicente-Miralles M; Descarrega-Reina R; Hernández-Aguilera A; Riu F; Simó JM; Garrido P; Joven J; Camps J; Castro A;

    Spain is one of the countries that has suffered the most from the impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the strain that causes coronavirus disease 2019 (COVID-19). However, there is a lack of information on the characteristics of this disease in the Spanish population. The objective of this study has been to characterize our patients from an epidemiological point of view and to identify the risk factors associated with mortality in our geographical area. We performed a prospective, longitudinal study on 188 hospitalized cases of SARS-Cov-2 infection in Hospital Universitari de Sant Joan, in Reus, Spain, admitted between 15th March 2020 and 30th April 2020. We recorded demographic data, signs and symptoms and comorbidities. We also calculated the Charlson and McCabe indices. A total of 43 deaths occurred during the study period. Deceased patients were older than the survivors (77.7 ± 13.1 vs. 62.8 ± 18.4 years; p < 0.001). Logistic regression analyses showed that fever, pneumonia, acute respiratory distress syndrome, diabetes mellitus and cancer were the variables that showed independent and statistically significant associations with mortality. The Charlson index was more efficient than the McCabe index in discriminating between deceased and survivors. This is one of the first studies to describe the factors associated with mortality in patients infected with SARS-CoV-2 in Spain, and one of the few in the Mediterranean area. We identified the main factors independently associated with mortality in our population. Further studies are needed to complete and confirm our findings.

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51 Research products
  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    We have before us the sixth issue of INSAM Journal of Contemporary Music, Art and Technology. This is the second issue in a row dedicated to the global crisis caused by the Covid-19 pandemic. After the overwhelming response from all over the world to the call for papers and provocative inspections that ensued, here we wanted to discuss the ways in which technology shapes and enables work in the areas of music, arts, humanities, and the education process, this time inviting our collaborators to discuss the shortcomings and struggles of the working processes in these fields. The main theme, “Music, Art and Humanities in the Time of Global Crisis”, expanded from the Main Theme section into the interviews as well.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Morales-Vives F; Dueñas JM; Ferrando PJ; Vigil-Colet A; Varea MD;

    Several studies in different countries have reported that part of the population does not fully comply with the measures recommended to prevent COVID-19, and therefore poses a risk to public health. For this reason, several measures have been developed to assess the level of compliance, although many of them have methodological limitations or do not include a comprehensive set of items. The main goal of the current study was to develop a new instrument with suitable psychometric properties, which includes a more complete set of items and controls the impact of acquiescence bias. The participants were 1410 individuals (59.2% women) from Spain, who answered the new questionnaire and several items on sociodemographic and attitudinal issues. Exploratory and confirmatory factor analyses were carried out, and the results suggested that only one content factor was underlying the data. This solution was replicated in a different subsample, which shows the stability of the solution. Furthermore, the relationships between the scores of the new questionnaire and the sociodemographic and attitudinal variables are similar to those obtained in previous studies, which can be regarded as evidence of the validity of the new questionnaire.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Vicens P; Heredia L; Bustamante E; Pérez Y; Domingo JL; Torrente M;

    The petrochemical industry has made the economic development of many local communities possible, increasing employment opportunities and generating a complex network of closely-related secondary industries. However, it is known that petrochemical industries emit air pollutants, which have been related to different negative effects on mental health. In addition, many people around the world are being exposed to highly stressful situations deriving from the COVID-19 pandemic and the lockdowns adopted by national and regional governments. The present study aims to analyse the possible differential effects on various psychological outcomes (stress, anxiety, depression and emotional regulation strategies) stemming from the COVID-19 pandemic and consequent lockdown experienced by individuals living near an important petrochemical complex and subjects living in other areas, nonexposed to the characteristic environmental pollutants emitted by these kinds of complex. The sample consisted of 1607 subjects who answered an ad hoc questionnaire on lockdown conditions, the Perceived Stress Scale (PSS), the Hospital Anxiety and Depression Scale (HADS), the Barratt Impulsivity Scale (BIS) and the Emotional Regulation Questionnaire (ERQ). The results indicate that people living closer to petrochemical complexes reported greater risk perception [K = 73.42, p < 0.001, with a medium size effect (η = 0.061)]. However, no significant relationship between psychological variables and proximity to the focus was detected when comparing people living near to or far away from a chemical/petrochemical complex. Regarding the adverse psychological effects of the first lockdown due to COVID-19 on the general population in Catalonia, we can conclude that the conditions included in this survey were mai

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    Authors: García-Yeste C; López de Aguileta Jaussi A; Duque E; Padrós M;

    There is an extensive literature on the importance of the use of scientific evidence on teaching methods in higher education institutions. However, there is a gap in how evidence is used for decision making that affects students and staff in universities. This article is a contribution to the existing gap, making the analysis of a specific case on how Catalan universities have managed the decision making regarding their staff in the face of the pandemic situation with the COVID-19. In this article, through the interview with managers and faculty from different Catalan universities, it will be shown to what extent these university institutions have opted for decision making in the management of the situation based on scientific evidence or simply compliance with government regulations.

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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Chatterjee, Avishek; Nardi, Cosimo; Oberije, Cary; Lambin, Philippe;

    Background: Searching through the COVID-19 research literature to gain actionable clinical insight is a formidable task, even for experts. The usefulness of this corpus in terms of improving patient care is tied to the ability to see the big picture that emerges when the studies are seen in conjunction rather than in isolation. When the answer to a search query requires linking together multiple pieces of information across documents, simple keyword searches are insufficient. To answer such complex information needs, an innovative artificial intelligence (AI) technology named a knowledge graph (KG) could prove to be effective. Methods: We conducted an exploratory literature review of KG applications in the context of COVID-19. The search term used was "covid-19 knowledge graph". In addition to PubMed, the first five pages of search results for Google Scholar and Google were considered for inclusion. Google Scholar was used to include non-peer-reviewed or non-indexed articles such as pre-prints and conference proceedings. Google was used to identify companies or consortiums active in this domain that have not published any literature, peer-reviewed or otherwise. Results: Our search yielded 34 results on PubMed and 50 results each on Google and Google Scholar. We found KGs being used for facilitating literature search, drug repurposing, clinical trial mapping, and risk factor analysis. Conclusions: Our synopses of these works make a compelling case for the utility of this nascent field of research.

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    Το έτος 2021 ανακηρύχθηκε από τον Οργανισμό Ηνωμένων Εθνών ως το Διεθνές Έτος Δημιουργικής Οικονομίας για την Βιώσιμη Ανάπτυξη. Το γεγονός αυτό, σε συνδυασμό με τα νέα δεδομένα που δημιούργησε η πανδημία covid-19 σε παγκόσμιο επίπεδο, υπογραμμίζουν τη σημασία των ασύρματων δικτύων επικοινωνίας για την εδραίωση μίας βραχυπρόθεσμης, μεσοπρόθεσμης και, κυρίως, μακροπρόθεσμης ευημερίας για κάθε πολιτιστικό φορέα. Σήμερα, την εποχή της τέταρτης τεχνολογικής επανάστασης, η ψηφιακή πραγματικότητα κερδίζει ολοένα και περισσότερο έδαφος επηρεάζοντας καθοριστικά τους όρους του οικονομικού γίγνεσθαι. Στόχος της παρούσας μελέτης είναι να χαρτογραφηθεί ο ορίζοντας του σύγχρονου ψηφιακού marketing των φορέων πολιτισμού, αναδεικνύοντας παράλληλα τις νέες προοπτικές και τάσεις του χώρου. Στο δεύτερο μέρος της μελέτης, θα επιχειρηθεί η εφαρμογή στην πράξη των πορισμάτων του πρώτου μέρους, μέσα από τη δημιουργία ιστοσελίδας για ένα μη κερδοσκοπικό οργανισμό με στόχο την προώθηση πολιτιστικού αποθέματος. Συγκεκριμένα, έπειτα από επικοινωνία με την Πρόεδρο του Σωματείου «Φίλοι των Μουσείων», κυρία Λίλα ντε Τσάβες, δόθηκε η δυνατότητα για πιλοτική αναδιαμόρφωση και αναβάθμιση του ιστοτόπου «Heritage & Museums», προκείμενου το εν λόγω website να συμμορφωθεί με τις σύγχρονες επιταγές marketing και να γίνει πιο φιλικό προς το χρήστη. Ακόμη, στο πλαίσιο της εργασίας θα καταρτισθεί πλάνο marketing ψηφιακής πολιτικής του φορέα σε βάθος ενός έτους, προκειμένου να αποτυπωθούν οι κατευθυντήριες γραμμές του θεωρητικού πλαισίου, όπως αυτό διαμορφώθηκε στο πρώτο μέρος. Εργαλεία για την εκπόνηση της μελέτης θα είναι η ελληνόγλωσση και ξενόγλωσση βιβλιογραφία και δικτυογραφία, καθώς και ο ηλεκτρονικός συγκριτισμός μεταξύ ιστοτόπων φορέων με ανάλογους στόχους και περιεχόμενο. Τέλος, στο πρακτικό μέρος της εργασίας θα αξιοποιηθούν τα μοντέλα ανάλυσης S.O.S.T.A.C, P.E.S.T.E.L και S.W.O.T κ.ά., όπως αυτά προσφέρονται από την επιστήμη του marketing. The United Nations has designated 2021 as the International Year of Creative Economy for Sustainable Development. This fact, when combined with the new data generated by the Covid -9 pandemic on a global scale, emphasises the importance of wireless communication networks in establishing short-term, medium-term, and, most importantly, long-term prosperity for every cultural institution. The goal of this research is to sketch out the landscape of modern digital marketing for cultural organisations while highlighting new perspectives and trends. The findings of the first part of the study will be put into practise in the second part of the study through the design of a website for a non-profit organisation promoting cultural heritage. The Greek-language and foreign-language bibliographies, as well as an electronic comparison of websites with similar goals and content, will be used to set up the study. Finally, the S.O.S.T.A.C, P.E.S.T.E.L, and S.W.O.T models will be used in the practical section of the paper.

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    2023
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      Pergamos
      2023
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    Authors: Erjavec, Tomaž; Ogrodniczuk, Maciej; Osenova, Petya; Ljubešić, Nikola; +35 Authors

    ParlaMint is a multilingual set of comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (after October 2019), or being "reference" (before that date). The corpora have extensive metadata, including aspects of the parliament; the speakers (name, gender, MP status, party affiliation, party coalition/opposition); are structured into time-stamped terms, sessions and meetings; with speeches being marked by the speaker and their role (e.g. chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. Note that some corpora have further information, e.g. the year of birth of the speakers, links to their Wikipedia articles, their membership in various committees, etc. The corpora are encoded according to the Parla-CLARIN TEI recommendation (https://clarin-eric.github.io/parla-clarin/), but have been validated against the compatible, but much stricter ParlaMint schemas. This entry contains the ParlaMint TEI-encoded corpora with the derived plain text version of the corpus along with TSV metadata on the speeches. Also included is the 2.0 release of the data and scripts available at the GitHub repository of the ParlaMint project. Note that there also exists the linguistically marked-up version of the corpus, which is available at http://hdl.handle.net/11356/1405.

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    Authors: Caselli, Tommaso; Egger, Clara; Tziafas, Georgios; De Saint-Phalle, Eugenie;

    EXCEPTIUS Corpus v1.0, containing the following data: - raw documents for 21 countries at national level - pre-processed data with spacy-udpipe v1.0 - automatically annotated documents for the identification of exceptional measures at sentence level Country list (ISO 3166-1 alpha-2): AT, BE, HR, CY, CZ, DK, FR, DE, HU, IE, IT, LV, LT, NL, NO, PL, SI, SE, CH, UK Folder structure: each country has a dedicated folder. Inside each folder you will find the following subfolders: - raw_text: the raw text data (.txt format) - processed: the output of the spacy-udpipe v1.0 - each line is a sentence, containing the following info: tokens, lemma, POS, UD dependency relations - model: the predictions of the trained model (XML pre@36 as reported in Table 4 of the paper). Each line is a sentence, separate by 9 tab - each for a exceptional measure class. 1: signals presence of a class. The Italy and Norway folder misses the predictions of the models.

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    Authors: Kralj Novak, Petra; Mozetič, Igor; Ljubešić, Nikola;

    A hand-labeled training (50,000 tweets labeled twice) and evaluation set (10,000 tweets labeled twice) for hate speech on Slovenian Twitter. The data files contain tweet IDs, hate speech type, hate speech target, and annotator ID. For obtaining the full text of the dataset, please contact the first author. Hate speech type: 1. Appropriate - has no target 2. Inappropriate (contains terms that are obscene, vulgar; but the text is not directed at any person specifically) - has no target 3. Offensive (including offensive generalization, contempt, dehumanization, indirect offensive remarks) 4. Violent (author threatens, indulges, desires, or calls for physical violence against a target; it also includes calling for, denying, or glorifying war crimes and crimes against humanity) Hate speech target: 1. Racism (intolerance based on nationality, ethnicity, language, towards foreigners; and based on race, skin color) 2. Migrants (intolerance of refugees or migrants, offensive generalization, call for their exclusion, restriction of rights, non-acceptance, denial of assistance…) 3. Islamophobia (intolerance towards Muslims) 4. Antisemitism (intolerance of Jews; also includes conspiracy theories, Holocaust denial or glorification, offensive stereotypes…) 5. Religion (other than above) 6. Homophobia (intolerance based on sexual orientation and / or identity, calls for restrictions on the rights of LGBTQ persons 7. Sexism (offensive gender-based generalization, misogynistic insults, unjustified gender discrimination) 8. Ideology (intolerance based on political affiliation, political belief, ideology… e.g. “communists”, “leftists”, “home defenders”, “socialists”, “activists for…”) 9. Media (journalists and media, also includes allegations of unprofessional reporting, false news, bias) 10. Politics (intolerance towards individual politicians, authorities, system, political parties) 11. Individual (intolerance toward any other individual due to individual characteristics; like commentator, neighbor, acquaintance ) 12. Other (intolerance towards members of other groups due to belonging to this group; write in the blank column on the right which group it is) Training dataset The training set is sampled from data collected between December 2017 and February 2020. The sampling was intentionally biased to contain as much hate speech as possible. A simple model was used to flag potential hate speech content and additionally, filtering by users and by tweet length (number of characters) was applied. 50,000 tweets were selected for annotation. Evaluation dataset The evaluation set is sampled from data collected between February 2020 and August 2020. Contrary to the training set, the evaluation set is an unbiased random sample. Since the evaluation set is from a later period compared to the training set, the possibility of data linkage is minimized. Furthermore, the estimates of model performance made on the evaluation set are realistic, or even pessimistic, since the evaluation set is characterized by a new topic: Covid-19. 10,000 tweets were selected for the evaluation set. Annotation results Each tweet was annotated twice: In 90% of the cases by two different annotators and in 10% of the cases by the same annotator. Special attention was devoted to evening out the overlap between annotators to get agreement estimates on equally sized sets. Ten annotators were engaged for our annotation campaign. They were given annotation guidelines, a training session, and a test on a small set to evaluate their understanding of the task and their commitment before starting the annotation procedure. Annotator agreement in terms of Krippendorff Alpha is around 0.6. Annotation agreement scores are detailed in the accompanying report files for each dataset separately. The annotation process lasted four months, and it required about 1,200 person-hours for the ten annotators to complete the task.

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    Authors: Iftimie S; López-Azcona AF; Vicente-Miralles M; Descarrega-Reina R; Hernández-Aguilera A; Riu F; Simó JM; Garrido P; Joven J; Camps J; Castro A;

    Spain is one of the countries that has suffered the most from the impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the strain that causes coronavirus disease 2019 (COVID-19). However, there is a lack of information on the characteristics of this disease in the Spanish population. The objective of this study has been to characterize our patients from an epidemiological point of view and to identify the risk factors associated with mortality in our geographical area. We performed a prospective, longitudinal study on 188 hospitalized cases of SARS-Cov-2 infection in Hospital Universitari de Sant Joan, in Reus, Spain, admitted between 15th March 2020 and 30th April 2020. We recorded demographic data, signs and symptoms and comorbidities. We also calculated the Charlson and McCabe indices. A total of 43 deaths occurred during the study period. Deceased patients were older than the survivors (77.7 ± 13.1 vs. 62.8 ± 18.4 years; p < 0.001). Logistic regression analyses showed that fever, pneumonia, acute respiratory distress syndrome, diabetes mellitus and cancer were the variables that showed independent and statistically significant associations with mortality. The Charlson index was more efficient than the McCabe index in discriminating between deceased and survivors. This is one of the first studies to describe the factors associated with mortality in patients infected with SARS-CoV-2 in Spain, and one of the few in the Mediterranean area. We identified the main factors independently associated with mortality in our population. Further studies are needed to complete and confirm our findings.

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