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Institution

University of Bologna

EducationBologna, Emilia-Romagna, Italy
About: University of Bologna is a education organization based out in Bologna, Emilia-Romagna, Italy. It is known for research contribution in the topics: Population & Galaxy. The organization has 38387 authors who have published 115176 publications receiving 3460869 citations. The organization is also known as: Università di Bologna & UNIBO.


Papers
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Journal ArticleDOI
TL;DR: Experimental evidence of respiratory chain defects and of accumulation of multiple mtDNA deletions with ageing is in accordance with the mitochondrial theory, although some other experimental findings are not directly ascribable to its postulates.

655 citations

Journal ArticleDOI
TL;DR: The majority of patients with acute type A acute aortic dissection present with aorti diameters <5.5 cm and thus do not fall within current guidelines for elective aneurysm surgery, and methods other than size measurement of the ascending aorta are needed to identify patients at risk for dissection.
Abstract: Background— Studies of aortic aneurysm patients have shown that the risk of rupture increases with aortic size. However, few studies of acute aortic dissection patients and aortic size exist. We used data from our registry of acute aortic dissection patients to better understand the relationship between aortic diameter and type A dissection. Methods and Results— We examined 591 type A dissection patients enrolled in the International Registry of Acute Aortic Dissection between 1996 and 2005 (mean age, 60.8 years). Maximum aortic diameters averaged 5.3 cm; 349 (59%) patients had aortic diameters <5.5 cm and 229 (40%) patients had aortic diameters <5.0 cm. Independent predictors of dissection at smaller diameters (<5.5 cm) included a history of hypertension (odds ratio, 2.17; 95% confidence interval, 1.03 to 4.57; P=0.04), radiating pain (odds ratio, 2.08; 95% confidence interval, 1.08 to 4.0; P=0.03), and increasing age (odds ratio, 1.03; 95% confidence interval, 1.00 to 1.05; P=0.03). Marfan syndrome pati...

655 citations

Journal ArticleDOI
TL;DR: It is demonstrated that the coding of space as far and near is not only determined by the hand-reaching distance, but it is also dependent on how the brain represents the extension of the body space.
Abstract: Far (extrapersonal) and near (peripersonal) spaces are behaviorally defined as the space outside the hand-reaching distance and the space within the hand-reaching distance. Animal and human studies have confirmed this distinction, showing that space is not homogeneously represented in the brain. In this paper we demonstrate that the coding of space as "far" and "near" is not only determined by the hand-reaching distance, but it is also dependent on how the brain represents the extension of the body space. We will show that when the cerebral representation of body space is extended to include objects or tools used by the subject, space previously mapped as far can be remapped as near. Patient P.P., after a right hemisphere stroke, showed a dissociation between near and far spaces in the manifestation of neglect. Indeed, in a line bisection task, neglect was apparent in near space, but not in far space when bisection in the far space was performed with a projection lightpen. However, when in the far space bisection was performed with a stick, used by the patient to reach the line, neglect appeared and was as severe as neglect in the near space. An artificial extension of the patient's body (the stick) caused a remapping of far space as near space.

655 citations

Journal ArticleDOI
K. Aamodt1, Betty Abelev2, A. Abrahantes Quintana, Dagmar Adamová3  +1011 moreInstitutions (81)
TL;DR: In this paper, the first measurement of charged particle elliptic flow in Pb-Pb collisions at root s(NN) p = 2.76 TeV with the ALICE detector at the CERN Large Hadron Collider was performed in the central pseudorapidity region.
Abstract: We report the first measurement of charged particle elliptic flow in Pb-Pb collisions at root s(NN) p = 2.76 TeV with the ALICE detector at the CERN Large Hadron Collider. The measurement is performed in the central pseudorapidity region (vertical bar eta vertical bar < 0.8) and transverse momentum range 0.2 < p(t) < 5.0 GeV/c. The elliptic flow signal v(2), measured using the 4-particle correlation method, averaged over transverse momentum and pseudorapidity is 0.087 +/- 0.002(stat) +/- 0.003(syst) in the 40%-50% centrality class. The differential elliptic flow v(2)(p(t)) reaches a maximum of 0.2 near p(t) = 3 GeV/c. Compared to RHIC Au-Au collisions at root s(NN) = 200 GeV, the elliptic flow increases by about 30%. Some hydrodynamic model predictions which include viscous corrections are in agreement with the observed increase.

652 citations

Journal ArticleDOI
TL;DR: The International Registry of Acute Aortic Dissection (IRAD) was established in 1996 with the mission to raise awareness of this condition and provide insights to guide diagnosis and treatment as mentioned in this paper.
Abstract: Acute aortic dissection (AAD) is a life-threatening condition associated with high morbidity and mortality rates, and it remains a challenge to diagnose and treat. The International Registry of Acute Aortic Dissection was established in 1996 with the mission to raise awareness of this condition and provide insights to guide diagnosis and treatment. Since then, >7300 cases have been included from >51 sites in 12 countries. Although presenting symptoms and physical findings have not changed significantly over this period, the use of computed tomography in the diagnosis has increased, and more patients are managed with interventional procedures: surgery in type A AAD and endovascular therapy in type B AAD; with these changes in care, there has been a significant decrease in overall in-hospital mortality in type A AAD but not in type B AAD. Herein, we summarized the key lessons learned from this international registry of patients with AAD over the past 20 years.

652 citations


Authors

Showing all 39076 results

NameH-indexPapersCitations
Anil K. Jain1831016192151
H. S. Chen1792401178529
Stefan Schreiber1781233138528
Alvio Renzini16290895452
David H. Adams1551613117783
Roberto Romero1511516108321
Thomas E. Starzl150162591704
Paolo Boffetta148145593876
Kypros H. Nicolaides147130287091
J. Fraser Stoddart147123996083
Fabio Finelli147542111128
Jack Hirsh14673486332
Kjell Fuxe142147989846
Andrew Ivanov142181297390
Peter Lang140113698592
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023398
20221,031
20217,486
20207,099
20196,390
20185,737