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    Wyświetlanie 1-4 z 4
    Tytuł:
    Cardiovascular diseases and air pollution in Novi Sad, Serbia
    Autorzy:
    Jevtić, Marija
    Dragić, Nataša
    Bijelović, Sanja
    Popović, Milka
    Tematy:
    ambient air pollution
    cardiovascular diseases
    patient admission
    effects of pollutants
    exposure-outcome relation
    Pokaż więcej
    Wydawca:
    Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
    Powiązania:
    https://bibliotekanauki.pl/articles/2178813.pdf  Link otwiera się w nowym oknie
    Opis:
    Objectives: A large body of evidence has documented that air pollutants have adverse effect on human health as well as on the environment. The aim of this study was to determine whether there was an association between outdoor concentrations of sulfur dioxide (SO₂) and nitrogen dioxide (NO₂) and a daily number of hospital admissions due to cardiovascular diseases (CVD) in Novi Sad, Serbia among patients aged above 18. Material and Methods: The investigation was carried out during over a 3-year period (from January 1, 2007 to December 31, 2009) in the area of Novi Sad. The number (N = 10 469) of daily CVD (ICD-10: I00-I99) hospital admissions was collected according to patients' addresses. Daily mean levels of NO₂ and SO₂, measured in the ambient air of Novi Sad via a network of fixed samplers, have been used to put forward outdoor air pollution. Associations between air pollutants and hospital admissions were firstly analyzed by the use of the linear regression in a single polluted model, and then trough a single and multi-polluted adjusted generalized linear Poisson model. Results: The single polluted model (without confounding factors) indicated that there was a linear increase in the number of hospital admissions due to CVD in relation to the linear increase in concentrations of SO₂ (p = 0.015; 95% confidence interval (95% CI): 0.144-1.329, R² = 0.005) and NO₂ (p = 0.007; 95% CI: 0.214-1.361, R² = 0.007). However, the single and multi-polluted adjusted models revealed that only NO₂ was associated with the CVD (p = 0.016, relative risk (RR) = 1.049, 95% CI: 1.009-1.091 and p = 0.022, RR = 1.047, 95% CI: 1.007-1.089, respectively). Conclusions: This study shows a significant positive association between hospital admissions due to CVD and outdoor NO₂ concentrations in the area of Novi Sad, Serbia.
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Wave 2 of the Multilingual Eye-Movement Corpus (MECO) : new text reading data across languages
    Autorzy:
    Bao, Yaqian Borogjoon
    Schroeder, Sascha
    Mihajlović, Nataša
    Bolliger, Lena S.
    Popović Stijačić, Milica
    Smirnova, Anna
    Lee, Charlotte E.
    Filipović Đurđević, Dušica
    Srivastava, Priyanka
    Kharlamov, Nik
    Lee, Jun Ren
    Brasser, Jan
    Reich, David R.
    Wu, Denise H.
    Zdravković, Sunčica
    Rimzhim, Anurag
    Acartürk, Cengiz
    Vieira, João M. M.
    Verma, Ark
    Leite, Marina P. T.
    Santana-Covarrubias, Andrea
    Sekerina, Irina
    Kristjánsson, Árni
    Rothe-Neves, Rui
    Mancini, Simona
    Siegelman, Noam
    Sigurdardottir, Heida M.
    Kuperman, Victor
    Teixeira, Elisangela N.
    Ugrinic, Ivana
    Orekhova, Miloslava
    Vakulya, Karolina
    Sá, Thais M. M.
    Zhuo, Junjing
    Campos-Rojas, César
    Goldina, Sofya
    Ziaka, Laoura
    Jäger, Lena A.
    Protopapas, Athanassios
    Agrawal, Niket
    Drieghe, Denis
    Knudsen, Hanne B. S.
    Khare, Anurag
    Mišić, Ksenija
    Parshina, Olga
    Ibáñez Orellana, Romualdo
    Xue, Jin
    Usal, Kerem Alp
    Jóhannesson, Ómar I.
    Opis:
    This paper reports the Wave 2 expansion of the Multilingual Eye-Movement Corpus (MECO), a collaborative multi-lab project collecting eye-tracking data on text reading in a variety of languages. The present expansion comes with new eye-tracking data of N = 654 from 13 languages, collected in 16 labs over 15 countries, including in several languages that have little to no representation in current eye-tracking studies on reading. MECO also contains demographic, language use, and other individual differences data. This paper makes available the first-language reading data of MECO Wave 2 and incorporates reliability estimates of all tests at the participant and item level, as well as other methods of data validation. It also reports the descriptive statistics on all languages, including comparisons with prior similar data, and outlines directions for potential reuse.
    Dostawca treści:
    Repozytorium Uniwersytetu Jagiellońskiego
    Artykuł
    Tytuł:
    New data on text reading in English as a second language
    Autorzy:
    Schroeder, Sascha
    Mihajlović, Nataša
    Bolliger, Lena S.
    Popović Stijačić, Milica
    Smirnova, Anna
    Lee, Charlotte E.
    Orellana, Romualdo Ibáñez
    Alexandre, Dominick M.
    Gadelha de Freitas, Luiz Vinicius
    Kharlamov, Nik
    Santana Covarrubias, Andrea
    Lee, Jun Ren
    Srivastava, Priyanka
    Brasser, Jan
    Reich, David R.
    Wu, Denise H.
    Zdravković, Sunčica
    Đurđević, Dušica Filipović
    Acartürk, Cengiz
    Rimzhim, Anurag
    Vieira, João M. M.
    Verma, Ark
    Leite, Marina P. T.
    Sekerina, Irina
    Kristjánsson, Árni
    Kuperman, Victor
    Mancini, Simona
    Rothe-Neves, Rui
    Sigurdardottir, Heida M.
    Siegelman, Noam
    Teixeira, Elisangela N.
    Ugrinic, Ivana
    Orekhova, Miloslava
    Vakulya, Karolina
    Sá, Thais M. M.
    Zhuo, Junjing
    Campos-Rojas, César
    Goldina, Sofya
    Ziaka, Laoura
    Jäger, Lena A.
    Protopapas, Athanassios
    Agrawal, Niket
    Drieghe, Denis
    Knudsen, Hanne B. S.
    Khare, Anurag
    Mišić, Ksenija
    Parshina, Olga
    Xue, Jin
    Usal, Kerem Alp
    Jóhannesson, Ómar I.
    Opis:
    This paper reports an expansion of the English as a second language (L2) component of the Multilingual Eye Movement Corpus (MECO L2), an international database of eye movements during text reading. While the previous Wave 1 of the MECO project (Kuperman et al., 2023) contained English as a L2 reading data from readers with 12 different first language (L1) backgrounds, the newly collected dataset adds eye-tracking data on English text reading from 13 distinct L1 backgrounds as well as participants’ scores on component skills of English proficiency and information about their demographics and language background and use. The paper reports reliability estimates, descriptive statistics, and correlational analyses as means to validate the expansion dataset. Consistent with prior literature and the MECO Wave 1, trends in the MECO Wave 2 data include a weak correlation between reading comprehension and oculomotor measures of reading fluency and a greater L1-L2 contrast in reading fluency than reading comprehension. Jointly with Wave 1, the MECO project includes English reading data from more than 1,200 readers representing a diversity of native writing systems (logographic, abjad, abugida, and alphabetic) and 19 distinct L1 backgrounds. We provide multiple pointers to new venues of how L2 reading researchers can mine this rich publicly available dataset.
    Dostawca treści:
    Repozytorium Uniwersytetu Jagiellońskiego
    Artykuł
      Wyświetlanie 1-4 z 4

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