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Institution

University of Udine

EducationUdine, Italy
About: University of Udine is a education organization based out in Udine, Italy. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 6745 authors who have published 20530 publications receiving 669088 citations. The organization is also known as: Università degli Studi di Udine & Universita degli Studi di Udine.


Papers
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Journal ArticleDOI
TL;DR: The SSDDI is an adequate instrument to objectively measure damage in patients with SS, and that the SSDAI is a valid tool to measure disease activity when used either as a single-state index or as a transition index.
Abstract: Objective To develop valid instruments for the assessment of disease-related damage and disease activity in Sjogren's syndrome (SS). Methods Data on 206 patients with primary SS were collected in 12 Italian centers. Each patient was scored by 1 investigator, on the basis of a global assessment of the degree of disease damage and disease activity. Patients judged to have active disease at the time of enrollment underwent a second evaluation after 3 months. Univariate and multivariate analyses were performed to select the clinical and serologic variables that were the best predictors of damage and of disease activity, and these variables were used to construct the Sjogren's Syndrome Disease Damage Index (SSDDI) and the Sjogren's Syndrome Disease Activity Index (SSDAI). The weight of each variable in the index was determined by the β coefficients in multivariate regression models. Scores obtained using the SSDDI and the SSDAI were compared with scores initially given by the investigators. Finally, a receiver operating characteristic (ROC) curve was used to determine the cutoff value in the SSDAI with the highest level of accuracy in identifying patients with a significant level of disease activity. Results A multivariate model with 9 variables was the best predictor of investigator scores of damage. The scores obtained using the SSDDI were closely correlated with investigator ratings (R = 0.760, P < 0.0001). A model composed of 11 variables was the best predictor of investigator scores of disease activity. The scores obtained using the SSDAI were strongly correlated with the investigator ratings both at the time of enrollment and 3 months after enrollment (R = 0.872, P < 0.0001, and R = 0.817, P < 0.0001, respectively). The differences between scores given by investigators at study enrollment and after 3 months, a measure of variation of disease activity over time, were also closely correlated with the differences calculated using the SSDAI (R = 0.683, P < 0.0001). The ROC curve analysis showed that patients with the highest level of disease activity could be identified on the basis of an SSDAI score of ≥5. Conclusion Our findings indicate that the SSDDI is an adequate instrument to objectively measure damage in patients with SS, and that the SSDAI is a valid tool to measure disease activity when used either as a single-state index or as a transition index.

180 citations

Journal ArticleDOI
TL;DR: Combining metforming with insulin in obese, insulin-treated and poorly controlled diabetics may represent a safe strategy to achieve better glycaemic control with a reduction in certain metabolic risk factors associated with the increased incidence of cardiovascular disease in diabetes mellitus.
Abstract: The efficacy and safety of metformin in the treatment of obese, non-insulin-dependent, diabetic subjects poorly controlled by insulin after secondary failure to respond to sulphonylureas has been investigated. Fifty insulin-treated, obese diabetics participated in this prospective, randomised double-blind six-month trial. After a four-week run-in period, during which all patients were given placebo (single-blind), patients were randomly assigned to continue to receive placebo or to active treatment with metformin. At six months, there was a relevant and significant improvement in glycaemic control in diabetics receiving the combined insulin-metformin treatment (decrease in glucose −4.1 mmol·l−1; glycosylated haemoglobin A1 decrease −1.84%). No significant changes were seen in diabetics receiving insulin and placebo. There was a significant decrease in blood lipids (trygliceride and cholesterol), an increase in HDL-cholesterol and a reduction in blood pressure in diabetics taking metformin. These postive findings were most marked in the 14 diabetics who experienced a good response to metformin (glucose profile 10 mmol·l−1). The fasting insulin level was significantly lower after six months of combined insulin-metformin treatment as shown by a 25% reduction in the daily dose of insulin (−21.6 U/day). Metformin was well tolerated by all diabetics. Combining metforming with insulin in obese, insulin-treated and poorly controlled diabetics may represent a safe strategy to achieve better glycaemic control with a reduction in certain metabolic risk factors associated with the increased incidence of cardiovascular disease in diabetes mellitus.

180 citations

Journal ArticleDOI
Markus Ackermann, Marco Ajello1, Andrea Albert2, W. B. Atwood3  +176 moreInstitutions (39)
TL;DR: Using the Fermi Large Area Telescope (LAT), a quasi-periodicity in the γ-ray flux (E > 100 MeV) from the GeV/TeV BL Lac object PG 1553+113 was discovered in this paper.
Abstract: We report for the first time a γ-ray and multiwavelength nearly periodic oscillation in an active galactic nucleus. Using the Fermi Large Area Telescope we have discovered an apparent quasi-periodicity in the γ-ray flux (E > 100 MeV) from the GeV/TeV BL Lac object PG 1553+113. The marginal significance of the 2.18 ± 0.08 year period γ-ray cycle is strengthened by correlated oscillations observed in radio and optical fluxes, through data collected in the Owens Valley Radio Observatory, Tuorla, Katzman Automatic Imaging Telescope, and Catalina Sky Survey monitoring programs and Swift-UVOT. The optical cycle appearing in ~10 years of data has a similar period, while the 15 GHz oscillation is less regular than seen in the other bands. Further long-term multiwavelength monitoring of this blazar may discriminate among the possible explanations for this quasi-periodicity.

180 citations

Journal ArticleDOI
Morad Aaboud, Georges Aad1, Brad Abbott2, Dale Charles Abbott3  +3001 moreInstitutions (220)
TL;DR: In this paper, the decays of B0 s! + and B0! + have been studied using 26 : 3 fb of 13TeV LHC proton-proton collision data collected with the ATLAS detector in 2015 and 2016.
Abstract: A study of the decays B0 s ! + and B0 ! + has been performed using 26 : 3 fb of 13TeV LHC proton-proton collision data collected with the ATLAS detector in 2015 and 2016. Since the detector resolut ...

180 citations

Journal ArticleDOI
TL;DR: In this article, the effect of shear on the crystallization behavior of monoglyceride organogels was studied using polarized light microscopy, Cryo-SEM, and X-ray diffraction.
Abstract: The aim of the present research was to study the effect of shear on the crystallization behavior of monoglyceride organogels. To this end, organogels were prepared by mixing cod liver oil and saturated monoglycerides at 80°C and then crystallizing them at 20°C under shear rates ranging from 0 to 2,000 s−1. The organogels were characterized using polarized light microscopy, Cryo-SEM, and X-ray diffraction. The rheological properties and the oil binding capacity of the different systems were also evaluated. Results obtained in this study showed that the introduction of shear during organogel formation greatly affects structure at the nano, micro, and macro levels. Solidification of the organogel under static conditions led to the formation of a strong gel network, with a high oil binding capacity. On the contrary, shear processing during crystallization led to the formation of a weak gel network with a low oil binding capacity.

180 citations


Authors

Showing all 6857 results

NameH-indexPapersCitations
M.-Marsel Mesulam15055890772
Francesco Longo14274589859
Georges Aad135112188811
Bobby Samir Acharya1331121100545
G. Della Ricca133159892678
Marina Cobal132107885437
Fernando Barreiro130108283413
Saverio D'Auria129114283684
Jean-Francois Grivaz128132297758
Evgeny Starchenko12886475913
Muhammad Alhroob12788071982
Michele Pinamonti12684669328
Reisaburo Tanaka12696769849
Kerim Suruliz12679569456
Kate Shaw12584170087
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202350
2022142
20211,338
20201,388
20191,223
20181,102