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Institution

University of Rijeka

EducationRijeka, 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.


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Journal ArticleDOI
TL;DR: The calculation resulted in identification of material parameters that are validated in comparing material response of numerical solution with experimental data, and are incorporated in developed software solution.

59 citations

Journal ArticleDOI
TL;DR: It is shown by transmission electron microscopy that L. micdadei replicates within an endoplasmic reticulum (RER)-free phagosome within human macrophages, alveolar epithelial cells, and within the protozoan Hartmannella vermiformis, and in contrast to L. pneumophila, there was no significant intrapulmonary replication of L.micdadeI in the A/J mice animal model.

59 citations

Journal ArticleDOI
TL;DR: A stochastic Hankel DMD (sHankel-DMD) algorithm is defined for numerical approximations of the spectral objects (eigenvalues, eigenfunctions) of the Stochastic Koopman operator and it is proved its convergence.
Abstract: In this paper, we consider the Koopman operator associated with the discrete and the continuous-time random dynamical system (RDS). We provide results that characterize the spectrum and the eigenfunctions of the stochastic Koopman operator associated with different types of linear RDS. Then we consider the RDS for which the associated Koopman operator family is a semigroup, especially those for which the generator can be determined. We define a stochastic Hankel–DMD algorithm for numerical approximations of the spectral objects (eigenvalues, eigenfunctions) of the stochastic Koopman operator and prove its convergence. We apply the methodology to a variety of examples, revealing objects in spectral expansions of the stochastic Koopman operator and enabling model reduction.

59 citations

Journal ArticleDOI
15 May 2012-PLOS ONE
TL;DR: It is demonstrated that N glycosylation play little role in the recognition of mouse tumor cell lines and the in-vivo importance of Ncr1 in the control of influenza virus infection is shown by infecting C57BL/6 and BALB/c mice knockout for NCr1 with influenza.
Abstract: Natural killer (NK) cells are innate cytotoxic lymphocytes that specialize in the defense against viral infection and oncogenic transformation. Their action is tightly regulated by signals derived from inhibitory and activating receptors; the later include proteins such as the Natural Cytotoxicity Receptors (NCRs: NKp46, NKp44 and NKp30). Among the NCRs, NKp46 is the only receptor that has a mouse orthologue named Ncr1. NKp46/Ncr1 is also a unique marker expressed on NK and on Lymphoid tissue inducer (LTI) cells and it was implicated in the control of various viral infections, cancer and diabetes. We have previously shown that human NKp46 recognizes viral hemagglutinin (HA) in a sialic acid-dependent manner and that the O-glycosylation is essential for the NKp46 binding to viral HA. Here we studied the molecular interactions between Ncr1 and influenza viruses. We show that Ncr1 recognizes influenza virus in a sialic acid dependent manner and that N-glycosylation is important for this binding. Surprisingly we demonstrate that none of the predicted N-glycosilated residues of Ncr1 are essential for its binding to influenza virus and we thus conclude that other, yet unidentified N-glycosilated residues are responsible for its recognition. We have demonstrated that N glycosylation play little role in the recognition of mouse tumor cell lines and also showed the in-vivo importance of Ncr1 in the control of influenza virus infection by infecting C57BL/6 and BALB/c mice knockout for Ncr1 with influenza.

59 citations

Journal ArticleDOI
Jelena Aleksić1, L. A. Antonelli2, P. Antoranz3, Ana Babić4  +168 moreInstitutions (23)
TL;DR: In this article, the authors studied the spectral and flux variability of IC 310 from the X-ray band to the VHE gamma-ray regime and confirmed the blazar-like behavior of the radio galaxy IC 310.
Abstract: Context. The radio galaxy IC 310 has recently been identified as a gamma-ray emitter based on observations at GeV energies with Fermi-LAT and at very high energies (VHE, E>100GeV) with the MAGIC telescopes. Originally classified as a head-tail radio galaxy, the nature of this object is subject of controversy since its nucleus shows blazar-like behavior. Aims. In order to understand the nature of IC 310 and the origin of the VHE emission we studied the spectral and flux variability of IC 310 from the X-ray band to the VHE gamma-ray regime. Methods. The light curve of IC 310 above 300GeV has been measured with the MAGIC telescopes from Oct. 2009 to Feb. 2010. Fermi-LAT data (2008-2011) in the 10-500GeV energy range were also analyzed. In X-ray, archival observations from 2003 to 2007 with XMM, Chandra, and Swift-XRT in the 0.5-10keV band were studied. Results. The VHE light curve reveals several high-amplitude and short-duration flares. Day-to-day flux variability is clearly present. The photon index between 120GeV and 8TeV remains at the value $\Gamma\sim2.0$ during both low and high flux states. The VHE spectral shape does not show significant variability, whereas the flux at 1TeV changes by a factor of $\sim7$. Fermi-LAT detected only eight gamma-ray events in the energy range 10GeV-500GeV in three years of observation. The measured photon index of $\Gamma=1.3\pm0.5$ in the Fermi-LAT range is very hard. The X-ray measurements show strong variability in flux and photon index. The latter varied from $1.76\pm0.07$ to $2.55\pm0.07$. Conclusion. The rapid variability measured confirms the blazar-like behavior of IC 310. The TeV emission seems to originate from scales of less than 80 Schwarzschild radii within the compact core of its FRI radio jet with orientation angle 10deg-38deg. The SED resembles that of an extreme blazar, albeit the luminosity is more than two orders of magnitude lower.

59 citations


Authors

Showing all 3537 results

NameH-indexPapersCitations
Igor Rudan142658103659
Nikola Godinovic1381469100018
Ivica Puljak134143697548
Damir Lelas133135493354
D. Mekterovic11044946779
Ulrich H. Koszinowski9628127709
Michele Doro7943720090
Robert Zivadinov7352218636
D. Dominis Prester7036316701
Daniel Ferenc7022516145
Vladimir Parpura6422618050
Stipan Jonjić6222719363
Dario Hrupec6028813345
Alessandro Laviano5929814609
Tomislav Terzić5827110699
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202329
202279
2021636
2020707
2019622
2018564