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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
Georges Aad1, Brad Abbott2, Jalal Abdallah3, A. A. Abdelalim4  +3232 moreInstitutions (192)
TL;DR: A search for new heavy particles manifested as resonances in two-jet final states in 7 TeV proton-proton collisions by the LHC is presented, extending the reach of previous experiments.
Abstract: A search for new heavy particles manifested as resonances in two-jet final states is presented. The data were produced in 7 TeV proton-proton collisions by the LHC and correspond to an integrated luminosity of 315 nb(-1) collected by the ATLAS detector. No resonances were observed. Upper limits were set on the product of cross section and signal acceptance for excited-quark (q*) production as a function of q* mass. These exclude at the 95% C. L. the q* mass interval 0: 30< m(q)*< 1:26 TeV, extending the reach of previous experiments.

137 citations

Journal ArticleDOI
TL;DR: In this paper, a broad survey of the scientific literature on knowledge management systems (KMS) is presented to understand how digital innovation promotes new business models through the optimization of new knowledge.

136 citations

Journal ArticleDOI
TL;DR: In this paper, a simple fitting formula that generalizes previous expressions reproduces the growth function in models that allow for a growth faster than standard, as for instance in interacting or scalar-tensor models.
Abstract: Many experiments in the near future will test dark energy through its effects on the linear growth of matter perturbations. It is therefore important to find simple and at the same time general parametrizations of the linear growth rate. We show that a simple fitting formula that generalizes previous expressions reproduces the growth function in models that allow for a growth faster than standard, as for instance in interacting or scalar-tensor models. We use data from galaxy and Lyman-$\ensuremath{\alpha}$ power spectra to constrain the linear growth rate. We find $\ensuremath{\gamma}={0.6}_{\ensuremath{-}0.3}^{+0.4}$ for the growth rate index and $\ensuremath{\eta}={0.0}_{\ensuremath{-}0.2}^{+0.3}$ for the additional growth parameter we introduce.

136 citations

Journal ArticleDOI
TL;DR: The commutative property of the proposed method allows to cipher a watermarked image without interfering with the embedded signal or to watermark an encrypted image still allowing a perfect deciphering.
Abstract: In this paper a commutative watermarking and ciphering scheme for digital images is presented. The commutative property of the proposed method allows to cipher a watermarked image without interfering with the embedded signal or to watermark an encrypted image still allowing a perfect deciphering. Both operations are performed on a parametric transform domain: the Tree Structured Haar transform. The key dependence of the adopted transform domain increases the security of the overall system. In fact, without the knowledge of the generating key it is not possible to extract any useful information from the ciphered-watermarked image. Experimental results show the effectiveness of the proposed scheme.

136 citations

Journal ArticleDOI
TL;DR: In this article, the effects of a pilot school-based intervention called CEPIDEA, designed to promote prosocial behavior in early adolescence, were evaluated in a middle school located in a small city near Rome.
Abstract: The purpose of this study was to evaluate the effects of a pilot school-based intervention called CEPIDEA, designed to promote prosocial behavior in early adolescence. The study took place in a middle school located in a small city near Rome. The intervention group included 151 students (52.3% males; Mage = 12.4), and the control group 173 students (50.3% females; Mage = 13.0). Both groups were assessed at three time points, each 6 months apart. A Latent Growth Curve analysis revealed that the intervention group, compared to the control group, showed an increase of helping behavior along with a decrease of physical and verbal aggression across time. Current results also showed that the increase of helping behavior mediated the decline of verbal aggression in adolescents who had attended the intervention. Participants of CEPIDEA also attained higher grades than the control group at the end of middle school. Overall, findings suggest that promoting prosocial behavior may serve to counteract aggressive conduct and enhance academic achievement during adolescence.

136 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