scispace - formally typeset
Search or ask a question
Institution

University of Naples Federico II

EducationNaples, Campania, Italy
About: University of Naples Federico II is a education organization based out in Naples, Campania, Italy. It is known for research contribution in the topics: Population & Cancer. The organization has 29291 authors who have published 68803 publications receiving 1920149 citations. The organization is also known as: Università degli Studi di Napoli Federico II & Naples University.


Papers
More filters
Journal ArticleDOI
TL;DR: Reversation of diastolic dysfunction in aortic stenosis takes years and is accompanied by a slow regression of interstitial fibrosis, whereas relaxation rate decreases with a reduction in left ventricular muscle mass.
Abstract: Background The remodeling of the left ventricle in patients with aortic stenosis after aortic valve replacement (AVR) is a complex process involving structural and functional changes Methods and Results Twenty-two patients were included in the present analysis Twelve patients with severe aortic stenosis were studied before surgery, early (22±8 months) and late (81±22 months) after AVR using left ventricular biplane angiograms, high-fidelity pressure measurements, and endomyocardial biopsies Ten healthy subjects were used as controls Left ventricular systolic function was assessed from biplane ejection fraction, and diastolic function from the time constant of relaxation, the peak filling rate, and the myocardial stiffness constant Left ventricular structure was evaluated from interstitial fibrosis, fibrous content, and muscle fiber diameter Left ventricular muscle mass was significantly increased before surgery in patients with aortic stenosis and remained increased early after surgery, although the

238 citations

Journal ArticleDOI
A. Altheimer1, A. T. H. Arce2, Lily Asquith3, J. Backus Mayes4, E. Bergeaas Kuutmann5, Joseph Berger6, David Martin Bjergaard2, Lene Bryngemark7, Andrew Buckley8, Jonathan Butterworth9, M. Cacciari10, Mario Campanelli9, T. Carli11, Mikael Chala, B. Chapleau12, Chien-Ting J. Chen13, John Paul Chou14, T. Cornelissen, David Curtin15, Mrinal Dasgupta16, A. R. Davison9, F. de Almeida Dias17, A. De Cosa18, A. De Roeck11, Chiara Debenedetti8, Caterina Doglioni19, Stephen D. Ellis20, Farida Fassi21, James Ferrando22, S. Fleischmann, M. Freytsis23, M. L. Gonzalez Silva24, S. González de la Hoz21, Francesco Guescini19, Z. Han25, Anson Hook4, Andrew Hornig20, E. Izaguirre4, Martin Jankowiak4, José Juknevich26, M. Kaci21, Deepak Kar22, Gregor Kasieczka27, Roman Kogler28, Andrew J. Larkoski4, Peter Loch29, D. Lopez Mateos25, Simone Marzani30, L. Masetti, Vicent Mateu31, David Miller32, Kalanand Mishra33, P. D. Nef4, Karl Nordström22, E. Oliver Garcia21, John Penwell34, J. Pilot23, Tilman Plehn27, Salvatore Rappoccio35, Salvatore Rappoccio36, A. Rizzi37, German Rodrigo21, Alexei Safonov38, Gavin P. Salam11, Gavin P. Salam10, J. Salt21, S. Schaetzel27, Marco Schioppa39, Alexander Schmidt28, Alexander Schmidt27, Jakub Scholtz20, Ariel Schwartzman4, Matthew D. Schwartz25, M. Segala40, M. Son41, Gregory Soyez, Michael Spannowsky30, Iain W. Stewart31, D. Strom42, Maximilian Swiatlowski4, V. Sanchez Martinez21, Michihisa Takeuchi27, Jesse Thaler31, Emily Thompson1, Nhan Viet Tran33, Christopher K. Vermilion23, M. Villaplana21, Marcel Vos21, Jay G. Wacker4, Jonathan R. Walsh23 
TL;DR: The results of the BOOST2012 workshop on jet substructure analysis are presented in this paper, with a focus on the impact of additional (pile-up) proton proton collisions on jet sub-structures in future LHC operating scenarios.
Abstract: This report of the BOOST2012 workshop presents the results of four working groups that studied key aspects of jet substructure We discuss the potential of first-principle QCD calculations to yield a precise description of the substructure of jets and study the accuracy of state-of-the-art Monte Carlo tools Limitations of the experiments’ ability to resolve substructure are evaluated, with a focus on the impact of additional (pile-up) proton proton collisions on jet substructure performance in future LHC operating scenarios A final section summarizes the lessons learnt from jet substructure analyses in searches for new physics in the production of boosted top quarks

238 citations

Journal ArticleDOI
TL;DR: A comprehensive review of the existing modeling strategies for masonry structures, as well as a novel classification of these strategies are presented, which attempts to make some order on the wide scientific production on this field.
Abstract: Masonry structures, although classically suitable to withstand gravitational loads, are sensibly vulnerable if subjected to extraordinary actions such as earthquakes, exhibiting cracks even for events of moderate intensity compared to other structural typologies like as reinforced concrete or steel buildings. In the last half-century, the scientific community devoted a consistent effort to the computational analysis of masonry structures in order to develop tools for the prediction (and the assessment) of their structural behavior. Given the complexity of the mechanics of masonry, different approaches and scales of representation of the mechanical behavior of masonry, as well as different strategies of analysis, have been proposed. In this paper, a comprehensive review of the existing modeling strategies for masonry structures, as well as a novel classification of these strategies are presented. Although a fully coherent collocation of all the modeling approaches is substantially impossible due to the peculiar features of each solution proposed, this classification attempts to make some order on the wide scientific production on this field. The modeling strategies are herein classified into four main categories: block-based models, continuum models, geometry-based models, and macroelement models. Each category is comprehensively reviewed. The future challenges of computational analysis of masonry structures are also discussed.

238 citations

Journal ArticleDOI
22 Jun 2012-PLOS ONE
TL;DR: The results strengthen the evidence for the role of high dietary fibre intake in colorectal cancer prevention and the association between total dietary fibre and risk of coloreCTal cancer risk did not differ by age, sex, or anthropometric, lifestyle, and dietary variables.
Abstract: Background: Earlier analyses within the EPIC study showed that dietary fibre intake was inversely associated with colorectal cancer risk, but results from some large cohort studies do not support this finding. We explored whether the association remained after longer follow-up with a near threefold increase in colorectal cancer cases, and if the association varied by gender and tumour location. Methodology/Principal Findings: After a mean follow-up of 11.0 years, 4,517 incident cases of colorectal cancer were documented. Total, cereal, fruit, and vegetable fibre intakes were estimated from dietary questionnaires at baseline. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazards models stratified by age, sex, and centre, and adjusted for total energy intake, body mass index, physical activity, smoking, education, menopausal status, hormone replacement therapy, oral contraceptive use, and intakes of alcohol, folate, red and processed meats, and calcium. After multivariable adjustments, total dietary fibre was inversely associated with colorectal cancer (HR per 10 g/day increase in fibre 0.87, 95% CI: 0.79–0.96). Similar linear associations were observed for colon and rectal cancers. The association between total dietary fibre and risk of colorectal cancer risk did not differ by age, sex, or anthropometric, lifestyle, and dietary variables. Fibre from cereals and fibre from fruit and vegetables were similarly associated with colon cancer; but for rectal cancer, the inverse association was only evident for fibre from cereals. Conclusions/Significance: Our results strengthen the evidence for the role of high dietary fibre intake in colorectal cancer prevention.

238 citations

Journal ArticleDOI
TL;DR: There is still no single technique proven to be unequivocally superior for treating fibroids G1 and G2, even if several other effective techniques including ablation by neodymium-yttrium-aluminum-garnet laser, morcellation and office myomectomy have been proposed.
Abstract: Hysteroscopic myomectomy currently represents the standard minimally invasive surgical procedure for treating submucous fibroids, with abnormal uterine bleeding and reproductive issues being the most common indications While hysteroscopic myomectomy has been shown to be safe and effective in the control of menstrual disorders, its effects on infertility remain unclear The review provides a comprehensive survey of all hysteroscopic techniques used to treat fibroids found completely within the uterine cavity (G0) and those with intramural development (G1 and G2) MEDLINE and EMBASE searches identified published papers from 1970 The choice of the technique mostly depends on the intramural extension of the fibroid, as well as on personal experience and available equipment ‘Resectoscopic slicing’ still represents the ‘gold standard’ technique for treating fibroids G0, even if several other effective techniques including ablation by neodymium-yttrium-aluminum-garnet laser, morcellation and office myomectomy have been proposed On the other hand, the present review clearly indicates that there is still no single technique proven to be unequivocally superior for treating fibroids G1 and G2 Most techniques aim at the transformation of an intramural fibroid into a totally intracavitary lesion, thus avoiding a deep cut into the myometrium At present, the ‘cold loop’ technique seems to represent the best option as it allows a safe and complete removal of such fibroids in just one surgical procedure, while respecting the surrounding healthy myometrium

237 citations


Authors

Showing all 29740 results

NameH-indexPapersCitations
D. M. Strom1763167194314
Yang Gao1682047146301
Robert Stone1601756167901
Elio Riboli1581136110499
Barry J. Maron15579291595
H. Eugene Stanley1541190122321
Paul Elliott153773103839
Robert O. Bonow149808114836
Kai Simons14742693178
Peter Buchholz143118192101
Martino Margoni1412059107829
H. A. Neal1411903115480
Luca Lista1402044110645
Pierluigi Paolucci1381965105050
Ari Helenius13729864789
Network Information
Related Institutions (5)
University of Padua
114.8K papers, 3.6M citations

97% related

University of Bologna
115.1K papers, 3.4M citations

97% related

University of Florence
79.5K papers, 2.3M citations

97% related

Sapienza University of Rome
155.4K papers, 4.3M citations

96% related

University of Milan
139.7K papers, 4.6M citations

94% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023234
2022660
20216,021
20205,957
20194,881
20184,267