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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
Georges Aad1, Brad Abbott2, Jalal Abdallah3, S. Abdel Khalek4  +2931 moreInstitutions (211)
TL;DR: In this article, the neutral Higgs bosons predicted by the Minimal Supersymmetric Standard Model (MSSM) were searched for in the τ τ final state.
Abstract: A search for the neutral Higgs bosons predicted by the Minimal Supersymmetric Standard Model (MSSM) is reported. The analysis is performed on data from proton-proton collisions at a centre-of-mass energy of 8 TeV collected with the ATLAS detector at the Large Hadron Collider. The samples used for this search were collected in 2012 and correspond to integrated luminosities in the range 19.5-20.3 fb−1. The MSSM Higgs bosons are searched for in the τ τ final state. No significant excess over the expected background is observed, and exclusion limits are derived for the production cross section times branching fraction of a scalar particle as a function of its mass. The results are also interpreted in the MSSM parameter space for various benchmark scenarios.

168 citations

Journal ArticleDOI
TL;DR: Clinical evidence suggests a role for anti-androgen therapies such as bicalutamide, enzalutamide and abiraterone, offering an interesting chemo-free alternative for chemo -unresponsive patients, and therefore potentially shifting current treatment strategies.

167 citations

Journal ArticleDOI
TL;DR: MR imaging is a useful adjunct to physical examination and transvaginal or transrectal sonography in evaluation of patients with deep infiltrating endometriosis, and can demonstrate enhancement on contrast-enhanced images.
Abstract: Deep pelvic endometriosis is defined as subperitoneal infiltration of endometrial implants in the uterosacral ligaments, rectum, rectovaginal septum, vagina, or bladder. It is responsible for severe pelvic pain. Accurate preoperative assessment of disease extension is required for planning complete surgical excision, but such assessment is difficult with physical examination. Various sonographic approaches (transvaginal, transrectal, endoscopic transrectal) have been used for this purpose but do not allow panoramic evaluation. Furthermore, exploratory laparoscopy has limitations in demonstrating deep endometriotic lesions hidden by adhesions or located in the subperitoneal space. Despite some limitations, magnetic resonance (MR) imaging is able to directly demonstrate deep pelvic endometriosis. The MR imaging features depend on the type of lesions: infiltrating small implants, solid deep lesions mainly located in the posterior cul-de-sac and involving the uterosacral ligaments and torus uterinus, or visceral endometriosis involving the bladder and rectal wall. Solid deep lesions have low to intermediate signal intensity with punctate regions of high signal intensity on T1-weighted images, show uniform low signal intensity on T2-weighted images, and can demonstrate enhancement on contrast-enhanced images. MR imaging is a useful adjunct to physical examination and transvaginal or transrectal sonography in evaluation of patients with deep infiltrating endometriosis.

167 citations

Journal ArticleDOI
TL;DR: This study shows that immune-related genes are primed for transcription by proximal lncRNAs, and the insertion of UMLILO into the chemokine topologically associating domain in mouse macrophages resulted in training of Cxcl genes, providing strong evidence that lncRNA-mediated regulation is central to the establishment of trained immunity.
Abstract: Accumulation of trimethylation of histone H3 at lysine 4 (H3K4me3) on immune-related gene promoters underlies robust transcription during trained immunity. However, the molecular basis for this remains unknown. Here we show three-dimensional chromatin topology enables immune genes to engage in chromosomal contacts with a subset of long noncoding RNAs (lncRNAs) we have defined as immune gene–priming lncRNAs (IPLs). We show that the prototypical IPL, UMLILO, acts in cis to direct the WD repeat-containing protein 5 (WDR5)–mixed lineage leukemia protein 1 (MLL1) complex across the chemokine promoters, facilitating their H3K4me3 epigenetic priming. This mechanism is shared amongst several trained immune genes. Training mediated by β-glucan epigenetically reprograms immune genes by upregulating IPLs in manner dependent on nuclear factor of activated T cells. The murine chemokine topologically associating domain lacks an IPL, and the Cxcl genes are not trained. Strikingly, the insertion of UMLILO into the chemokine topologically associating domain in mouse macrophages resulted in training of Cxcl genes. This provides strong evidence that lncRNA-mediated regulation is central to the establishment of trained immunity. This study shows that immune-related genes are primed for transcription by proximal lncRNAs. One such lncRNA, UMLILO, directs the WDR5–MLL1 complex to CXCL chemokine promoters, facilitating H3K4me3 deposition.

167 citations

Book ChapterDOI
01 Jan 1994
TL;DR: In the last decade some large scale combinatorial optimization problems have been tackled by way of a stochastic technique called ‘simulated annealing’ which has proved to be a valid tool to find acceptable solutions for problems whose size makes impossible any exact solution method.
Abstract: In the last decade some large scale combinatorial optimization problems have been tackled by way of a stochastic technique called ‘simulated annealing’ first proposed by Kirkpatrick et al. (1983). This technique has proved to be a valid tool to find acceptable solutions for problems whose size makes impossible any exact solution method.

166 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