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Institution

University of Palermo

EducationPalermo, 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.


Papers
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Journal ArticleDOI
TL;DR: A measure of mutual information based on link co-occurrence in networks is introduced in order to detect the fast dynamics of successive changes of correlation based graphs in a quantitative way.
Abstract: We investigate the daily correlation present among market indices of stock exchanges located all over the world in the time period Jan 1996 - Jul 2009. We discover that the correlation among market indices presents both a fast and a slow dynamics. The slow dynamics reflects the development and consolidation of globalization. The fast dynamics is associated with critical events that originate in a specific country or region of the world and rapidly affect the global system. We provide evidence that the short term timescale of correlation among market indices is less than 3 trading months (about 60 trading days). The average values of the non diagonal elements of the correlation matrix, correlation based graphs and the spectral properties of the largest eigenvalues and eigenvectors of the correlation matrix are carrying information about the fast and slow dynamics of correlation of market indices. We introduce a measure of mutual information based on link co-occurrence in networks, in order to detect the fast dynamics of successive changes of correlation based graphs in a quantitative way.

161 citations

Journal ArticleDOI
TL;DR: In this article, the authors focus on the scale-up of the pilot plant, reaching more than 400m 2 of total membrane area installed and representing the largest operating RED plant so far reported in the literature.

160 citations

Journal ArticleDOI
TL;DR: The results of the analysis show that the manufacturing phase is relevant to all assessed impact categories (contribution higher than 60%) and the contribution to the use phase impact of battery efficiency is larger than that of battery transport.

160 citations

Journal ArticleDOI
TL;DR: Patients with multiple sclerosis have significant atrophy of both white matter (WM) and gray matter (GM), and GM atrophy is the most significant MRI variable in determining the final disability.
Abstract: Objective: To measure white matter (WM) and gray matter (GM) atrophy and lesion load in a large population of patients with multiple sclerosis (MS) using a fully automated, operator-independent, multiparametric segmentation method. Methods: The study population consisted of 597 patients with MS and 104 control subjects. The MRI parameters were abnormal WM fraction (AWM-f), global WM-f (gWM-f), and GM fraction (GM-f). Results: Significant differences between patients with MS and control subjects included higher AWM-f and reduced gWM-f and GM-f. MRI data showed significant differences between patients with relapsing-remitting and secondary progressive forms of MS. Significant correlations between MRI parameters and between MRI and clinical data were found. Conclusions: Patients with multiple sclerosis have significant atrophy of both white matter (WM) and gray matter (GM); secondary progressive patients have significantly more atrophy of both WM and GM than do relapsing-remitting patients and a significantly higher lesion load (abnormal WM fraction); lesion load is related to both WM and even more to GM atrophy; lesion load and WM and GM atrophy are significantly related to Expanded Disability Status Scale score and age at onset (suggesting that the younger the age at disease onset, the worse the lesion load and brain atrophy); and GM atrophy is the most significant MRI variable in determining the final disability.

160 citations

Journal Article
TL;DR: Higher testosterone levels were obtained in perpetrators of violent crimes, in men from the army with antisocial behaviors, in subjects with impulsive behaviors, alcoholics and suicidals, in athletes using steroids, and during competitions.
Abstract: Aggressiveness is an ancestral behavior common to all animal species. Its neurophysiological mechanisms are similar in all vertebrates. Males are generally more aggressive than females. In this review, aggressive behavior in rodents, monkeys, and man and the role of testosterone and brain serotonin levels have been considered. Interspecific aggressiveness in rats has been studied considering the mouse-killing behavior; the neonatal androgenization of females increases adult mouse-killing as does the administration of testosterone in adults. Intraspecific aggressiveness was studied by putting two or more male rats (or mice) in the same cage; the condition of subjection or dominance is influenced by testosterone. In monkeys, testosterone is related to aggressiveness and dominance and, during the mating season, increases in testosterone levels and aggressive attitude are observed. In men, higher testosterone levels were obtained in perpetrators of violent crimes, in men from the army with antisocial behaviors, in subjects with impulsive behaviors, alcoholics and suicidals, in athletes using steroids, and during competitions. Aggressive and dominant behavior are distinguished. Testosterone influences both of these, even if man is usually inclined to affirm his power without causing physical damage. Testosterone receptors are mainly in some hypothalamic neurons, where it is aromatized into estrogens, which determine the increase in aggressiveness. A relation between testosterone levels and diencephalic serotonin has been shown: in fact, the lack of serotonin increases aggressive behaviors both in animals and man. Testosterone also increases ADH levels in the medial amygdala, lateral hypothalamus, and preoptical medial area, involved in aggressive behaviors.

160 citations


Authors

Showing all 15895 results

NameH-indexPapersCitations
Robin M. Murray1711539116362
Frede Blaabjerg1472161112017
Jean Bousquet145128896769
Zhanhu Guo12888653378
Jean Ballet11526346301
Antonio Facchetti11160251885
Michele Pagano9730642211
Frank Z. Stanczyk9362030244
Eleonora Troja9127130873
Francesco Sciortino9053628956
Zev Rosenwaks8977232039
Antonio Russo8893434563
Carlo Salvarani8873031699
Giuseppe Basso8764333320
Antonio Craxì8665939463
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023147
2022384
20212,977
20202,753
20192,412
20182,250