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Institution

University of Perugia

EducationPerugia, Umbria, Italy
About: University of Perugia is a education organization based out in Perugia, Umbria, Italy. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 13365 authors who have published 39516 publications receiving 1265601 citations. The organization is also known as: Universitá degli Studi di Perugia & Universita degli Studi di Perugia.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors evaluated the efficacy, complication, and reoperation rates of midurethral tapes compared with other surgical treatments for female SUI, and found that patients treated with RT experienced slightly higher continence rates than those treated with Burch colposuspension, but they faced a much higher risk of intraoperative complications.

440 citations

Journal ArticleDOI
TL;DR: The most important aspects of the pathogenesis and development of endothelial dysfunction are summarized, with particular attention to the role of traditional CV risk factors, the usefulness of vasoreactivity tests, and the future perspectives opened by genetic studies.

438 citations

Journal ArticleDOI
Fabio Acero1, M. Ackermann, Marco Ajello2, Andrea Albert3  +166 moreInstitutions (37)
TL;DR: In this article, the authors describe the development of the Galactic Interstellar Emission Model (GIEM) which is the standard adopted by the LAT Collaboration and is publicly available, based on a linear combination of maps for interstellar gas column density in Galactocentric annuli and for the inverse-Compton emission produced in the Galaxy.
Abstract: Most of the celestial γ rays detected by the Large Area Telescope (LAT) on board the Fermi Gamma-ray Space Telescope originate from the interstellar medium when energetic cosmic rays interact with interstellar nucleons and photons. Conventional point-source and extended-source studies rely on the modeling of this diffuse emission for accurate characterization. Here, we describe the development of the Galactic Interstellar Emission Model (GIEM), which is the standard adopted by the LAT Collaboration and is publicly available. This model is based on a linear combination of maps for interstellar gas column density in Galactocentric annuli and for the inverse-Compton emission produced in the Galaxy. In the GIEM, we also include large-scale structures like Loop I and the Fermi bubbles. The measured gas emissivity spectra confirm that the cosmic-ray proton density decreases with Galactocentric distance beyond 5 kpc from the Galactic Center. The measurements also suggest a softening of the proton spectrum with Galactocentric distance. We observe that the Fermi bubbles have boundaries with a shape similar to a catenary at latitudes below 20° and we observe an enhanced emission toward their base extending in the north and south Galactic directions and located within ∼4° of the Galactic Center.

438 citations

Journal ArticleDOI
TL;DR: Evaluated small-molecule inhibitors of poly-ADP-ribose polymerase (PARP) family proteins showed that the majority of PARP inhibitors bind multiple targets, providing insight into the design of new inhibitors.
Abstract: Inhibitors of poly-ADP-ribose polymerase (PARP) family proteins are currently in clinical trials as cancer therapeutics, yet the specificity of many of these compounds is unknown. Here we evaluated a series of 185 small-molecule inhibitors, including research reagents and compounds being tested clinically, for the ability to bind to the catalytic domains of 13 of the 17 human PARP family members including the tankyrases, TNKS1 and TNKS2. Many of the best-known inhibitors, including TIQ-A, 6(5H)-phenanthridinone, olaparib, ABT-888 and rucaparib, bound to several PARP family members, suggesting that these molecules lack specificity and have promiscuous inhibitory activity. We also determined X-ray crystal structures for five TNKS2 ligand complexes and four PARP14 ligand complexes. In addition to showing that the majority of PARP inhibitors bind multiple targets, these results provide insight into the design of new inhibitors.

437 citations


Authors

Showing all 13488 results

NameH-indexPapersCitations
Michael Grätzel2481423303599
Luigi Ferrucci1931601181199
Tobin J. Marks1591621111604
Johan Auwerx15865395779
Tony Pawson15042585196
Jack Hirsh14673486332
Alexander Belyaev1421895100796
R. L. McCarthy1411238115696
Harvey B Newman139159488308
Guido Tonelli138145897248
Elias Campo13576185160
Alberto Messineo134151196492
Franco Ligabue134140495389
Roberto Tenchini133139094541
R. Bartoldus132162497405
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023108
2022226
20212,487
20202,594
20192,362
20182,274