Institution
University of Palermo
Education•Palermo, Italy•
About: University of Palermo is a education organization based out in Palermo, Italy. It is known for research contribution in the topics: Population & Medicine. The organization has 15621 authors who have published 40250 publications receiving 964384 citations. The organization is also known as: Università degli Studi di Palermo & Universita degli Studi di Palermo.
Topics: Population, Medicine, Cancer, Context (language use), Catalysis
Papers published on a yearly basis
Papers
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TL;DR: Results point to efficient complement inhibition on endothelium for aHUS treatment, including C5b-9 endothelial deposits, which might help monitor eculizumab effectiveness, avoid drug overexposure, and save money considering the extremely high cost of the drug.
268 citations
TL;DR: In this paper, a new experimental technique for measuring average particle drag coefficients in turbulent media is presented based on a direct measurement, by means of a suitable residence time technique, of the settling velocity exhibited by a cloud of particles.
268 citations
TL;DR: Noise enhanced stability in an unstable physical system is experimentally detected and the average escape time has a maximum for a finite value of the noise intensity.
Abstract: We experimentally detect noise enhanced stability in an unstable physical system. The average escape time from a metastable, periodically driven, system is measured in the stable and unstable regimes in a noisy environment. In the unstable regime, we measure that the average escape time has a maximum for a finite value of the noise intensity. The scaling properties of the average escape time and of the variance of escape times are compared with the predictions obtained for a system in a marginal state.
267 citations
TL;DR: In this article, a multicenter longitudinal study was performed to assess the survival of hepatitis B surface antigen positive compensated cirrhosis, primarily in relation to hepatitis B virus replication and hepatitis delta virus infection, and to construct a prognostic index based on entry characteristics.
267 citations
TL;DR: In this paper, the authors define and obtain hierarchical trees, correlation based trees and networks from a correlation matrix, and associate a hierarchically nested factor model to a hierarchical tree obtained from the correlation matrix.
Abstract: We discuss some methods to quantitatively investigate the properties of correlation matrices. Correlation matrices play an important role in portfolio optimization and in several other quantitative descriptions of asset price dynamics in financial markets. Here, we discuss how to define and obtain hierarchical trees, correlation based trees and networks from a correlation matrix. The hierarchical clustering and other procedures performed on the correlation matrix to detect statistically reliable aspects of it are seen as filtering procedures of the correlation matrix. We also discuss a method to associate a hierarchically nested factor model to a hierarchical tree obtained from a correlation matrix. The information retained in filtering procedures and its stability with respect to statistical fluctuations is quantified by using the Kullback–Leibler distance.
267 citations
Authors
Showing all 15895 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Robin M. Murray | 171 | 1539 | 116362 |
| Frede Blaabjerg | 147 | 2161 | 112017 |
| Jean Bousquet | 145 | 1288 | 96769 |
| Zhanhu Guo | 128 | 886 | 53378 |
| Jean Ballet | 115 | 263 | 46301 |
| Antonio Facchetti | 111 | 602 | 51885 |
| Michele Pagano | 97 | 306 | 42211 |
| Frank Z. Stanczyk | 93 | 620 | 30244 |
| Eleonora Troja | 91 | 271 | 30873 |
| Francesco Sciortino | 90 | 536 | 28956 |
| Zev Rosenwaks | 89 | 772 | 32039 |
| Antonio Russo | 88 | 934 | 34563 |
| Carlo Salvarani | 88 | 730 | 31699 |
| Giuseppe Basso | 87 | 643 | 33320 |
| Antonio Craxì | 86 | 659 | 39463 |