196,495 research outputs found
La pianificazione antincendi boschivi a livello locale: analisi critica di un caso di studio
No full textNel contributo vengono analizzate criticamente le strategie di pianificazione in itinere in materia di lotta agli incendi boschivi in Sardegna e discusse alcune opportunità di intervento alla luce delle nuove esperienze maturate nell'area mediterrane
Gli enzimi proteolitici nel trattamento delle flogosi di pertinenza otorinolaringoiatrica. Serratiopeptidasi e Seaprose-S
No full textRelations between natural phenomena and solar activity in the climatic and oceanographic fields
No full textCarbon dioxide laser treatment of cavernous haemangioma of the supraglottis and hypopharynx
No full textRelations between Natural Phenomena and Solar Activity in the Oceanographic and Forest Fields
No full textA great number of studies on the relationship between solar activity and various terrestrial
phenomena, both in the climatic and geophysical fields, have been carried out over several decades. In the
present work we analyse the shorter oscillations of the solar activity such as the ones recognized in the climatic
and oceanographic oscillations, for which, as it is known, longer series of observations are unavailable.
Specially we analyse both the sunspot series (Wolf relative number series) considered an index of solar activity
and observed since 1700 and the series of the mean sea level variation of the longest ones available in the word
and relative to three oceanographic stations in Poland (Swinoujscie), France (Brest) and Italy (Venezia), whose
geographical distribution made the comparison interesting. Because of the sea level evolution fluctuate in
intensity, an analysis of these fluctuations and their possible correlation with the solar activity was considered
of great interest to give a contribution for the explanation of the various interactions between natural
phenomena and other problems relating to the forecasting of the climatic evolution
A Comprehensive Analysis of Multilayer Community Detection Algorithms for Application to EEG-Based Brain Networks
No full textModular organization is an emergent property of brain networks, responsible for shaping communication processes and underpinning brain functioning. Moreover, brain networks are intrinsically multilayer since their attributes can vary across time, subjects, frequency, or other domains. Identifying the modular structure in multilayer brain networks represents a gateway toward a deeper understanding of neural processes underlying cognition. Electroencephalographic (EEG) signals, thanks to their high temporal resolution, can give rise to multilayer networks able to follow the dynamics of brain activity. Despite this potential, the community organization has not yet been thoroughly investigated in brain networks estimated from EEG. Furthermore, at the state of the art, there is still no agreement about which algorithm is the most suitable to detect communities in multilayer brain networks, and a way to test and compare them all under a variety of conditions is lacking. In this work, we perform a comprehensive analysis of three algorithms at the state of the art for multilayer community detection (namely, genLouvain, DynMoga, and FacetNet) as compared with an approach based on the application of a single-layer clustering algorithm to each slice of the multilayer network. We test their ability to identify both steady and dynamic modular structures. We statistically evaluate their performances by means of ad hoc benchmark graphs characterized by properties covering a broad range of conditions in terms of graph density, number of clusters, noise level, and number of layers. The results of this simulation study aim to provide guidelines about the choice of the more appropriate algorithm according to the different properties of the brain network under examination. Finally, as a proof of concept, we show an application of the algorithms to real functional brain networks derived from EEG signals collected at rest with closed and open eyes. The test on real data provided results in agreement with the conclusions of the simulation study and confirmed the feasibility of multilayer analysis of EEG-based brain networks in both steady and dynamic conditions
M. avium binding to HLA-DR expressed alleles in silico: A model of phenotypic susceptibility to sarcoidosis
No full textSarcoidosis is a systemic granulomatosis disease of unknown origin where a number of microbes, in particular M tuberculosis and non-tuberculous mycobacteria, have been hypothesized to play a role in disease pathogenesis, possibly through bacterial antigen-driven hypersensitivity. To test this concept, we used bioinformatic tools allowing the identification of antigenic peptides in whole microbial genomes to analyze the interaction between the expressed HLA-DR gene allelic variants and the HLA-DR immunome of all pathogenic bacteria in a population of 149 sarcoidosis affected subjects and 447 controls, all HLA-typed at high resolution. We show here that patients with the Lofgren's syndrome, express HLA-DR alleles that recognize in silico a significantly higher number of bacterial antigen epitopes compared to the control population (18,496+9,114 vs 17,954+8,742; p<0.00001), and the chronic sarcoidosis affected population (17,954+8,742; p<0.00001 vs Lofgren's and controls). Further, the analysis of the ability of the HLA-DR allele combinations expressed by the Lofgren and the chronic sarcoidosis affected subjects to recognize M avium epitopes demonstrates that a significantly larger number of Lofgren's are capable of top affinity recognition, compared to chronic sarcoidosis (45% vs 17%, p<0.0037). Finally, both Lofgren's and chronic sarcoidosis subjects expressed HLA-DR allele combinations capable of M tuberculosis and M avium epitope recognition at higher affinity than tuberculosis affected subjects (p<0.01 all comparisons). In conclusion, we propose that - at least in a subgroup of affected subjects sarcoidosis might be part of a spectrum of granulomatous responses to several agents where the Lofgren's syndrome represents the hyper-reactive end of the spectrum while pulmonary tuberculosis and atypical mycobacterial infections might represent the opposite end. (Sarcoidosis Vasc Diffuse Lung Dis 2008; 25: 100-116
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