Institution
Sapienza University of Rome
Education•Rome, Lazio, Italy•
About: Sapienza University of Rome is a education organization based out in Rome, Lazio, Italy. It is known for research contribution in the topics: Population & Medicine. The organization has 62002 authors who have published 155468 publications receiving 4397244 citations. The organization is also known as: La Sapienza & Università La Sapienza di Roma.
Topics: Population, Medicine, Context (language use), Cancer, Nonlinear system
Papers published on a yearly basis
Papers
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03 Aug 2013TL;DR: This paper shows that LTLf, i.e., LTL under this assumption, is less expressive than what might appear at first sight, and proposes a logic, LDLf for Linear Dynamic Logic over finite traces, which borrows the syntax from Propositional Dynamic Logic (PDL), but is interpreted over finite trace.
Abstract: In this paper we look into the assumption of interpreting LTL over finite traces. In particular we show that LTLf, i.e., LTL under this assumption, is less expressive than what might appear at first sight, and that at essentially no computational cost one can make a significant increase in expressiveness while maintaining the same intuitiveness of LTLf. Indeed, we propose a logic, LDLf for Linear Dynamic Logic over finite traces, which borrows the syntax from Propositional Dynamic Logic (PDL), but is interpreted over finite traces. Satisfiability, validity and logical implication (as well as model checking) for LTLf. are PSPACE-complete as for LTLf. (and LTL).
408 citations
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University of Insubria1, University of Pavia2, University of Eastern Piedmont3, University of Bologna4, University of Verona5, Humanitas University6, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico7, University of Milan8, University of Genoa9, University of Catania10, University of Parma11, University of Pisa12, University of Turin13, University of Perugia14, Sapienza University of Rome15, University of Padua16, University of Brescia17, University of Modena and Reggio Emilia18, University of Siena19, University of Udine20, Università Campus Bio-Medico21, Catholic University of the Sacred Heart22
TL;DR: This study adds to the evidence that patients with haematological malignancies have worse outcomes and the general Italian population with COVID-19 has high mortality, by calculating standardised mortality ratios between observed death in the study cohort and expected death by applying stratum-specific mortality rates.
408 citations
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TL;DR: Using proteins with low ammoniagenic potential, leucine enriched amino acid supplementation, long-term ammonia lowering strategies and a combination of resistance and endurance exercise to increase muscle mass and function may target the molecular abnormalities in the muscle.
408 citations
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TL;DR: Analyzing changes in functional diversity of bee communities along a post-fire successional gradient in southern Switzerland shows that the Rao coefficient and CWM may be used to describe two complementary aspects of community structure, such as the mean and the dispersion of functional traits within a given species assemblage.
Abstract: Assessing the effects of environmental constraints on community structure often relies on methods that consider changes in species functional traits in response to environmental processes. Various indices have been proposed to measure relevant aspects of community trait composition from different viewpoints and perspectives. Among these, the ‘community-weighted mean trait value’ (CWM) and the Rao coefficient have been widely used in ecological research for summarizing different facets of functional composition and diversity. Analyzing changes in functional diversity of bee communities along a post-fire successional gradient in southern Switzerland we show that these two measures may be used to describe two complementary aspects of community structure, such as the mean and the dispersion of functional traits within a given species assemblage. While CWM can be adequately used to summarize shifts in mean trait values within communities due to environmental selection for certain functional traits, the Rao coefficient can be effectively applied to analyze patterns of trait convergence or divergence compared to a random expectation.
407 citations
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TL;DR: The highest NGF values were found in patients with severe allergic asthma, a high degree of bronchial hyperreactivity, and high total IgE and eosinophil cationic protein serum levels.
Abstract: Nerve growth factor (NGF) serum levels were measured in 49 patients with asthma and/or rhinoconjunctivitis and/or urticaria-angioedema. Clinical and biochemical parameters, such as bronchial reactivity, total and specific serum IgE levels, and circulating eosinophil cationic protein levels, were evaluated in relation to NGF values in asthma patients. NGF was significantly increased in the 42 allergic (skin-test- or radioallergosorbent-test-positive) subjects (49.7 +/- 28.8 pg/ml) versus the 18 matched controls (3.8 +/- 1.7 pg/ml; P < 0.001). NGF levels in allergic patients with asthma, rhinoconjunctivitis, and urticaria-angioedema were 132.1 +/- 90.8, 17.6 +/- 6.1, and 7.6 +/- 1.8 pg/ml (P < 0.001, P < 0.002, and P < 0.05 versus controls), respectively. Patients with more than one allergic disease had higher NGF serum values than those with a single disease. When asthma patients were considered as a group, NGF serum values (87.6 +/- 59.8 pg/ml) were still significantly higher than those of control groups (P < 0.001), but allergic asthma patients had elevated NGF serum levels compared with nonallergic asthma patients (132.1 +/- 90.8 versus 4.9 +/- 2.9 pg/ml; P < 0.001). NGF serum levels correlate to total IgE serum values (rho = 0.43; P < 0.02). The highest NGF values were found in patients with severe allergic asthma, a high degree of bronchial hyperreactivity, and high total IgE and eosinophil cationic protein serum levels. This study represents the first observation (that we know of) that NGF is increased in human allergic inflammatory diseases and asthma.
407 citations
Authors
Showing all 62745 results
Name | H-index | Papers | Citations |
---|---|---|---|
Charles A. Dinarello | 190 | 1058 | 139668 |
Gregory Y.H. Lip | 169 | 3159 | 171742 |
Peter A. R. Ade | 162 | 1387 | 138051 |
H. Eugene Stanley | 154 | 1190 | 122321 |
Suvadeep Bose | 154 | 960 | 129071 |
P. de Bernardis | 152 | 680 | 117804 |
Bart Staels | 152 | 824 | 86638 |
Alessandro Melchiorri | 151 | 674 | 116384 |
Andrew H. Jaffe | 149 | 518 | 110033 |
F. Piacentini | 149 | 531 | 108493 |
Subir Sarkar | 149 | 1542 | 144614 |
Albert Bandura | 148 | 255 | 276143 |
Carlo Rovelli | 146 | 1502 | 103550 |
Robert C. Gallo | 145 | 825 | 68212 |
R. Kowalewski | 143 | 1815 | 135517 |