Institution
University of Rijeka
Education•Rijeka, Croatia•
About: University of Rijeka is a education organization based out in Rijeka, Croatia. It is known for research contribution in the topics: Population & Tourism. The organization has 3471 authors who have published 7993 publications receiving 110386 citations. The organization is also known as: Rijeka University & Sveučilište u Rijeci.
Topics: Population, Tourism, European union, Immune system, Cytotoxic T cell
Papers published on a yearly basis
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TL;DR: There is clear evidence that relatively small number of the RCADS items is non-invariant, especially when comparing two different cultural/ethnic groups, which indicates on its sound cross-cultural validity and suitability forCross-cultural comparisons in adolescent anxiety and depressive symptoms.
Abstract: Background. In order to compare estimates by one assessment scale across various cultures/ethnic groups, an important aspect that needs to be demonstrated is that its construct across these groups is invariant when measured using a similar and simultaneous approach (i.e., demonstrated cross-cultural measurement invariance). One of the methods for evaluating measurement invariance is testing for differential item functioning (DIF), which assesses whether different groups respond differently to particular items. The aim of this study was to evaluate the cross-cultural measurement invariance of the Revised Child Anxiety and Depression Scale (RCADS) in societies with different socioeconomic, cultural, and religious backgrounds. Methods. The study was organised by the International Child Mental Health Study Group. Self-reported data were collected from adolescents residing in 11 countries: Brazil, Bulgaria, Croatia, Indonesia, Montenegro, Nigeria, Palestinian Territories, the Philippines, Portugal, Romania and Serbia. The multiple-indicators multiple-causes model was used to test the RCADS items for DIF across the countries. Results. Ten items exhibited DIF considering all cross-country comparisons. Only one or two items were flagged with DIF in the head-to-head comparisons, while there were three to five items flagged with DIF, when one country was compared with the others. Even with all cross-culturally non-invariant items removed from nine language versions tested, the original factor model representing six anxiety and depressive symptoms subscales was not significantly violated. Conclusions. There is clear evidence that relatively small number of the RCADS items is non-invariant, especially when comparing two different cultural/ethnic groups, which indicates on its sound cross-cultural validity and suitability for cross-cultural comparisons in adolescent anxiety and depressive symptoms.
32 citations
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TL;DR: In this paper, the MAGIC-I Cherenkov telescope was used to monitor and characterise the very high energy gamma-ray emission of M 87 during a low state.
Abstract: Context. We present the results of a long M 87 monitoring campaign in very high energy.-rays with the MAGIC-I Cherenkov telescope. Aims. We aim to model the persistent non-thermal jet emission by monitoring and characterizing the very high energy gamma-ray emission of M 87 during a low state. Methods. A total of 150 h of data were taken between 2005 and 2007 with the single MAGIC-I telescope, out of which 128.6 h survived the data quality selection. We also collected data in the X-ray and Fermi-LAT bands from the literature (partially contemporaneous). Results. No flaring activity was found during the campaign. The source was found to be in a persistent low-emission state, which was at a confidence level of 7 sigma. We present the spectrum between 100 GeV and 2 TeV, which is consistent with a simple power law with a photon index Gamma = 2.21 +/- 0.21 and a flux normalization at 300GeV of (7.7 +/- 1.3) x 10(-8) TeV-1 s(-1) m(-2). The extrapolation of the MAGIC spectrum into the GeV energy range matches the previously published Fermi-LAT spectrum well, covering a combined energy range of four orders of magnitude with the same spectral index. We model the broad band energy spectrum with a spine layer model, which can satisfactorily describe our data.
32 citations
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TL;DR: In this article, the authors present the results concerning S275JR (1.0044) steel material behavior loaded at room and elevated temperatures as well as result analysis in relation to its possible application.
32 citations
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TL;DR: Taking into account a growing market and small number of articles related to honeydew honey, a metabolomic approach associated with multivariate analysis and modelling was proposed to discriminate five varieties of honey to confirm authenticity in terms of production.
32 citations
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Institut d'Astrophysique de Paris1, University of Canterbury2, Massey University3, University of Notre Dame4, University of St Andrews5, Peking University6, University of Toulouse7, Ohio State University8, University of Tasmania9, Niels Bohr Institute10, Space Telescope Science Institute11, Osaka University12, Qatar Foundation13, University of Rijeka14, University of Vienna15, Chungbuk National University16, San Francisco State University17, Korea Astronomy and Space Science Institute18, Las Cumbres Observatory Global Telescope Network19, Curtin University20, Nagoya University21, University of Auckland22, Vaughn College of Aeronautics and Technology23, Victoria University, Australia24, University at Albany, SUNY25, Kyoto Sangyo University26
TL;DR: In this paper, C.H., M.D. and M.C. were supported by NPRP grant NPRP-09-476-1-78 from the Qatar National Research Fund (a member of Qatar Foundation).
Abstract: A.C. acknowledges financial support from the Emergence UPMC 2012 grant. Work by C.H. was supported by Creative Research Initiative Program (2009-0081561) of National Research Foundation of Korea. K.H., M.D. and M.H. are supported by NPRP grant NPRP-09-476-1-78 from the Qatar National Research Fund (a member of Qatar Foundation). M.H. acknowledges support from the Villum foundation. S.D. is supported by “the Strategic Priority Research Program- The Emergence of Cosmological Structures” of the Chinese Academy of Sciences (grant No. XDB09000000).
32 citations
Authors
Showing all 3537 results
Name | H-index | Papers | Citations |
---|---|---|---|
Igor Rudan | 142 | 658 | 103659 |
Nikola Godinovic | 138 | 1469 | 100018 |
Ivica Puljak | 134 | 1436 | 97548 |
Damir Lelas | 133 | 1354 | 93354 |
D. Mekterovic | 110 | 449 | 46779 |
Ulrich H. Koszinowski | 96 | 281 | 27709 |
Michele Doro | 79 | 437 | 20090 |
Robert Zivadinov | 73 | 522 | 18636 |
D. Dominis Prester | 70 | 363 | 16701 |
Daniel Ferenc | 70 | 225 | 16145 |
Vladimir Parpura | 64 | 226 | 18050 |
Stipan Jonjić | 62 | 227 | 19363 |
Dario Hrupec | 60 | 288 | 13345 |
Alessandro Laviano | 59 | 298 | 14609 |
Tomislav Terzić | 58 | 271 | 10699 |