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Institution

University of Modena and Reggio Emilia

EducationModena, Italy
About: University of Modena and Reggio Emilia is a education organization based out in Modena, Italy. It is known for research contribution in the topics: Population & Transplantation. The organization has 8179 authors who have published 22418 publications receiving 671337 citations. The organization is also known as: Università degli Studi di Modena e Reggio Emilia & Universita degli Studi di Modena e Reggio Emilia.


Papers
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Journal ArticleDOI
TL;DR: High level of permanence of the antibacterial activity of the coated films was demonstrated by repeatedly washing the samples in warm water or by immersion in physiological saline solution at 37 degrees C for 3 days, and the release of silver ions per square meter of coating is very similar to that previously observed for polyamides filled with metallic silver nanoparticles.

193 citations

Journal ArticleDOI
TL;DR: The BMI affects the early clinical response to systemic treatment for psoriasis and the impact of the BMI did not show remarkable variations according to the drug prescribed at entry.
Abstract: Objective: Our aim was to assess the role of the body mass index (BMI) in the clinical response to systemic treatment for psoriasis. Methods: A nationwide cohort

193 citations

Journal ArticleDOI
TL;DR: In this article, the consequences of retroviral transduction in T cells from leukemic patients treated with allogeneic stem cell transplantation and donor lymphocytes genetically modified with a suicide gene (HSV-TK) were analyzed.
Abstract: The use of retroviral vectors in gene therapy has raised safety concerns for the genotoxic risk associated with their uncontrolled insertion into the human genome. We have analyzed the consequences of retroviral transduction in T cells from leukemic patients treated with allogeneic stem cell transplantation and donor lymphocytes genetically modified with a suicide gene (HSV-TK). Retroviral vectors integrate preferentially within or near transcribed regions of the genome, with a preference for sequences around promoters and for genes active in T cells at the time of transduction. Quantitative transcript analysis shows that one fifth of these integrations affect the expression of nearby genes. However, transduced T cell populations maintain remarkably stable gene expression profiles, phenotype, biological functions, and immune repertoire in vivo, with no evidence of clonal selection up to 9 yr after administration. Analysis of integrated proviruses in transduced cells before and after transplantation indicates that integrations interfering with normal T cell function are more likely to lead to clonal ablation than expansion in vivo. Despite the potentially dangerous interactions with the T cell genome, retroviral integration has therefore little consequence on the safety and efficacy of T cell transplantation.

192 citations

Journal ArticleDOI
Roel Aaij, Bernardo Adeva1, Marco Adinolfi2, A. A. Affolder3  +702 moreInstitutions (68)
TL;DR: In this paper, the beam density profile at the LHC interaction point 8 was described by a two-dimensional description of the beams and a beam-gas imaging method was used.
Abstract: Measuring cross-sections at the LHC requires the luminosity to be determined accurately at each centre-of-mass energy root s. In this paper results are reported from the luminosity calibrations carried out at the LHC interaction point 8 with the LHCb detector for root s = 2.76, 7 and 8TeV (proton-proton collisions) and for root s(NN) = 5TeV (proton-lead collisions). Both the "van der Meer scan" and "beam-gas imaging" luminosity calibration methods were employed. It is observed that the beam density profile cannot always be described by a function that is factorizable in the two transverse coordinates. The introduction of a two-dimensional description of the beams improves significantly the consistency of the results. For proton-proton interactions at root s = 8TeV a relative precision of the luminosity calibration of 1.47% is obtained using van der Meer scans and 1.43% using beam-gas imaging, resulting in a combined precision of 1.12%. Applying the calibration to the full data set determines the luminosity with a precision of 1.16%. This represents the most precise luminosity measurement achieved so far at a bunched-beam hadron collider.

192 citations

Journal ArticleDOI
TL;DR: A novel technique of warping people's silhouette is proposed to exchange visual information between partially overlapped cameras whenever a camera handover occurs and a multi‐client and multi‐threaded transcoding video server delivers live video streams to operators/remote users in order to check the validity of a received alarm.
Abstract: In-house video surveillance can represent an excellent support for people with some difficulties (e.g. elderly or disabled people) living alone and with a limited autonomy. New hardware technologies and in particular digital cameras are now affordable and they have recently gained credit as tools for (semi-) automatically assuring people's safety. In this paper a multi-camera vision system for detecting and tracking people and recognizing dangerous behaviours and events such as a fall is presented. In such a situation a suitable alarm can be sent, e.g. by means of an SMS. A novel technique of warping people's silhouette is proposed to exchange visual information between partially overlapped cameras whenever a camera handover occurs. Finally, a multi-client and multi-threaded transcoding video server delivers live video streams to opera- tors=remote users in order to check the validity of a received alarm. Semantic and event-based transcoding algorithms are used to optimize the bandwidth usage. A two-room setup has been created in our laboratory to test the performance of the overall system and some of the results obtained are reported.

191 citations


Authors

Showing all 8322 results

NameH-indexPapersCitations
Carlo M. Croce1981135189007
Gregory Y.H. Lip1693159171742
Geoffrey Burnstock141148899525
Peter M. Rothwell13477967382
Claudio Franceschi12085659868
Lorenzo Galluzzi11847771436
Leonardo M. Fabbri10956660838
David N. Reinhoudt107108248814
Stefano Pileri10063543369
Andrea Bizzeti99116846880
Brian K. Shoichet9828140313
Dante Gatteschi9772748729
Roberta Sessoli9542441458
Thomas A. Buchholz9349433409
Pier Luigi Zinzani9285735476
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202376
2022230
20212,354
20202,083
20191,633
20181,450