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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.


Papers
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Journal ArticleDOI
TL;DR: In patients with BMS, IL-2 and IL-6 levels in saliva are elevated, correlating with the severity of illness, and these levels are significantly increased in patients compared to healthy subjects.
Abstract: The etiology of BMS remains unknown Role of various cytokines has been implicated in the development of BMS The aim of this study was to evaluate levels of salivary IL-2 and IL-6 in patients with BMS, compared with age-matched healthy volunteers (control group) Whole saliva from 30 patients with BMS, age range 55-65, was tested for the presence of IL-6 and IL-2 by enzyme immunoassay Control group consisted of 30 healthy participants, aged 55-65 years Saliva IL-2 concentrations in BMS were significantly increased in patients compared to healthy subjects: mean 341 +/- 97 versus 73 +/- 30 pg/mL; P < 001 Patients with BMS had significantly higher concentrations of IL-6 compared to control: mean 308 +/- 56 versus 52 +/- 28 pg/mL; P < 001 In patients with BMS, IL-2 and IL-6 levels in saliva are elevated, correlating with the severity of illness

69 citations

Journal ArticleDOI
TL;DR: Examination of the apical sealing ability of five root canal sealers using a fluid transport model found all five sealers produced a satisfactory seal.
Abstract: Aim The aim of this study was to examine the apical sealing ability of five root canal sealers using a fluid transport model. Methodology A comparison of root canal scalers AH26, AH Plus, Diaket, Apexit, and Ketac-Endo were tested on 60 single-rooted teeth. The coronal part of each tooth was removed at the amelo-cemento junction, and also 3 mm of the root tip. Root canals were instrumented using the 'step-back' technique with Gates Glidden drills and irrigated with 2.5% NaOCl. The specimens were divided into five groups of 10 samples each and filled with test materials and gutta-percha points by the cold lateral condensation technique. Ten teeth were used as a control group, out of which five served as negative and five as positive controls. The leakage was measured by the movement of an air bubble in a capillary glass tube connected to the experimental root section. Results The differences in leakage amongst Ketac-Endo (0.318 microL: SD 0.084), AH26 (0.319 microL; SD 0.075), AH Plus (0.330L; SD 0.085) Apexit (0.360 microL; SD 0.127) and Diaket (0.387 microL; SD 0.140) were not statistically significant (P > 0.05). Conclusions Under the conditions of this study, all five sealers produced a satisfactory seal.

69 citations

Journal ArticleDOI
TL;DR: In this article, an attempt to determine small size (or nonlocal) parameter employed in the Bernoulli-Euler and Timoshenko gradient formulations is presented, and the dependence of small-size effects on the Young's modulus is investigated.
Abstract: The central focus of the paper is set on modelling of bending of armchair carbon nanotubes by means of the gradient elasticity theory. Influence of small-size effects on the Young's modulus is investigated. An attempt to determine small size (or nonlocal) parameter employed in the Bernoulli-Euler and Timoshenko gradient formulations is presented. To obtain such a goal, the paper provides an extensive set of molecular structural mechanics simulations of armchair nanotubes with different loading and kinematic boundary conditions. Dependence of the Young's modulus on small size effects is clearly noticed. Based on these results, small scale parameters for the gradient model are identified and limits of the method are pointed out. Results of the study indicate that the widely used theory should be modified to obtain a physically justified and reliable nanobeam model based on Bernoulli-Euler or Timoshenko kinematic assumptions.

69 citations

Journal ArticleDOI
TL;DR: The aim was to investigate the distribution and the phenotype of P+ cells in decidua of pregnancy and to find out if the number of perforin‐positive cells in pregnancy is larger than in any other pathological condition.
Abstract: PROBLEM: The number of perforin (P)-positive cells in decidua of pregnancy is larger than that observed in any other pathological condition. The aim was to investigate the distribution and the phenotype of P + cells. METHOD: Decidual tissue was obtained from the first trimester vaginal termination of pregnancy. Tissue distribution of P + cells was analyzed by immunohistochemistry. The method for simultaneous measurement of P and cell surface is presented. RESULTS: There is no difference in number and distribution of P + cells between decidua basalis (DB) and decidua parietalis (DP). The percentage of P + decidual lymphocytes (DL) is two times higher than in peripheral blood lymphocytes (PBL) (55% vs. 27%), and the prevalent phenotype is CD3 - CD4 - CD8 - CD2 + (95%) CD11c + (68%) and CD56 + (82%). CD56 bright+ DL are also P bright+ and this is the largest DL subpopulation (42.4% DL). Two different subpopulations of CD8 + DL exist: 1) CD8 bright+ , which are CD3 + CD56 - P - and 2) CD8 dim+ , which are CD3 - CD56 + P + . CONCLUSION: P expressing DL are prevalently nonclassical NK cells (CD16 - ) with low cytolytic activity but fully equipped with potent cytolytic machinery (P bright+ ). There are no classical cytotoxic lymphocytes (CTL) (CD3 + CD8 + P + ) in the decidua, and all CD8 + P + cells are CD3 - CD56 + . The number of P + cells is even higher in DP in the vicinity of noninvasvie trophoblast, than in DB

69 citations

Journal ArticleDOI
TL;DR: This work identifies a new mechanism in astrocytes that could lead to increased levels of extracellular glutamate in HD and thus may contribute to excitotoxicity in this devastating disease.

69 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