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Institution

Roma Tre University

EducationRome, Lazio, Italy
About: Roma Tre University is a education organization based out in Rome, Lazio, Italy. It is known for research contribution in the topics: Large Hadron Collider & Galaxy. The organization has 4434 authors who have published 15352 publications receiving 374888 citations. The organization is also known as: Universita degli Studi Roma Tre & RomaTre.


Papers
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Journal ArticleDOI
TL;DR: In this paper, Lapis Tiburtinus endogenic travertine is interpreted through three-dimensional stratigraphy and uranium-series geochronology, and the age of travertines is calculated using the U/Th isochron method.

134 citations

Journal ArticleDOI
TL;DR: The obtained findings provide data-driven evidence on which combination of sensor configurations and classification methods to be used during IMU-based gait analysis to grade the severity level of Parkinson's disease.
Abstract: Inertial measurement units (IMUs) have a long-lasting popularity in a variety of industrial applications from navigation systems to guidance and robotics. Their use in clinical practice is now becoming more common, thanks to miniaturization and the ability to integrate on-board computational and decision-support features. IMU-based gait analysis is a paradigm of this evolving process, and in this study its use for the assessment of Parkinson's disease (PD) is comprehensively analyzed. Data coming from 25 individuals with different levels of PD symptoms severity and an equal number of age-matched healthy individuals were included into a set of 6 different machine learning (ML) techniques, processing 18 different configurations of gait parameters taken from 8 IMU sensors. Classification accuracy was calculated for each configuration and ML technique, adding two meta-classifiers based on the results obtained from all individual techniques through majority of voting, with two different weighting schemes. Average classification accuracy ranged between 63% and 80% among classifiers and increased up to 96% for one meta-classifier configuration. Configurations based on a statistical preselection process showed the highest average classification accuracy. When reducing the number of sensors, features based on the joint range of motion were more accurate than those based on spatio-temporal parameters. In particular, best results were obtained with the knee range of motion, calculated with four IMUs, placed bilaterally. The obtained findings provide data-driven evidence on which combination of sensor configurations and classification methods to be used during IMU-based gait analysis to grade the severity level of PD.

134 citations

Journal ArticleDOI
TL;DR: In this paper, an almost complete, flux-limited subsample of 31 sources has been defined by selecting the FERO sources observed by the RXTE all-sky Slew Survey with a count rate in the 3-8 keV energy band greater than 1 cts/sec.
Abstract: Context. Accretion models predict that fluorescence lines broadened by relativistic effects should arise from reflection of X-ray emission onto the inner region of the accretion disc surrounding the central black hole of active galactic nuclei (AGN). The theory behind the origin of relativistic lines is well established, and observational evidence from a moderate number of sources seems to support the existence of these lines. Aims. The aim of this work is to establish the fraction of AGN with relativistic Fe Kα lines, and study possible correlations with source physical properties. Methods. An XMM-Newton collection of 149 radio-quiet Type 1 AGN has been systematically and uniformly analysed in order to search for evidence of a relativistically broadened Fe Kα line. To enable statistical studies, an almost complete, flux-limited subsample of 31 sources has been defined by selecting the FERO sources observed by the RXTE all-sky Slew Survey with a count rate in the 3– 8 keV energy band greater than 1 cts/sec. The 2–10 keV spectra of the FERO sources where compared with a complex model including most of the physical components observed in the X-ray spectra of Seyfert galaxies: a power law primary continuum modified by nonrelativistic Compton reflection and warm absorption, plus a series of narrow Fe line reflection features. Results. The observed fraction of sources in the flux-limited sample that show strong evidence of a relativistic Fe Kα line is 36%. This number can be interpreted as a lower limit to the fraction of sources that present a relativistic broad Fe Kα line in the wider AGN population. The average line equivalent width (EW) is of the order of 100 eV. The outcome of the fit yields an average disc inclination angle of 28 ± 5 ◦ and an average power-law index of the radial disc emissivity law of 2.4 ± 0.4. The spin value is well constrained only in 2 cases (MCG-6-30-15 and MRK 509); in the rest of the cases, whenever a constraint can be placed, it always implies the rejection of the static black hole solution. The Fe Kα line EW does not correlate with disc parameters or with system physical properties, such as black hole mass, accretion rate, and hard X-ray luminosity.

134 citations

Journal ArticleDOI
Georges Aad1, Brad Abbott2, J. Abdallah3, A. A. Abdelalim4  +3049 moreInstitutions (182)
TL;DR: The ATLAS experiment at the LHC has measured the centrality dependence of charged particle pseudorapidity distributions over vertical bar eta vertical bar < 2 in lead-lead collisions at a nucleo...

133 citations

Journal ArticleDOI
Georges Aad1, T. Abajyan2, Brad Abbott3, Jalal Abdallah4  +2925 moreInstitutions (199)
TL;DR: The search for the Higgs boson decays to a photon and a Z boson in pp collisions at root s=7 and 8 TeV with the ATLAS detector as discussed by the authors.

133 citations


Authors

Showing all 4598 results

NameH-indexPapersCitations
Andrew White1491494113874
Sw. Banerjee1461906124364
Fuqiang Wang145151895014
Stefano Giagu1391651101569
Silvia Masi13966997618
Filippo Ceradini131101682732
Mattias Ellert131102282637
Francesco Lacava130104279680
Giovanni Organtini129143885866
Georg Zobernig129112583321
Monica Verducci12989676002
Marzio Nessi129104678641
Cristian Stanescu12892276446
Domizia Orestano12898278297
Lashkar Kashif12878274072
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20251
2023121
2022212
20211,137
20201,200
20191,224