118 research outputs found
Canone epico e forme del riuso nella 'Geste Francor'
Nel presente articolo si analizza il complesso sistema di rimandi, allusioni e prelievi testuali provenienti dall’epica oitanica all’interno della Geste Francor. I risultati dell’indagine permettono di comprendere finalità e modalità del riuso di specifiche chansons de geste da parte dell’anonimo autore del ciclo e di tracciare i confini del suo ideale canone epico di riferimento.This contribution explores the whole of references (from allusions to literal quotations) drawn from Old French epics which flowed into the Franco-Italian cycle known as Geste Francor. The outcome of the research illustrates the meaning and the manner of reuse of significant chansons de geste by the anonymous author and establishes the ideal boundaries of his epic canon
Il canzoniere trobadorico J e il ms. Conventi Soppressi F IV 776: constitutio codicis e storia esterna
D2MA: a distributed access protocol for wireless ATM networks
The main purpose of this paper is to assess the feasibility of the distributed control approach in the definition of a wireless ATM MAC protocol. A novel protocol, named D2MA, is presented. D2MA is based on a double distribution of the access procedure and queueing capabilities. All the reservation and scheduling functions are performed by the mobile stations independently, whereas only passive operations are required to the base station. An accurate analytical model of D2MA has been developed. This model examines a single radio cell with a population m of mobile stations acting as traffic sources. Each station is equipped with a finite buffer of B cell size. A comparison with simulation results shows the accuracy of the analytical approach
Big data and earthquake: databases integration for studies on medium-long term effects on health
Safeguarding of the Villa Romana del Casale UNESCO site from severe weather events: the case study of Apollo medicane occurred in October 2021
Gastroplastica verticale sec. Mason-Mc Neal nella chirurgia dell'obesità: la nostra esperienza
Multi-instrumental Analysis of the Extreme Meteorological Event Occurred in Matera (Italy) on November 2019
Most of the municipalities of the Italian territory are located in areas of high hydrogeological risk, i.e. exposed to flooding and landslides. Consequently, part of the existing cultural heritage on the national territory is located in areas subject to flood risk, which compromises the accessibility, preservation and integrity of cultural heritage. As an example, we consider a single flood event that occurred in southern Italy on November 11th and 12th, 2019, which mainly affected the city of Matera and its surroundings. This episode appears to be significant for the violence of the phenomenon that led to considerable quantities of water flowing inside the city, a UNESCO World Heritage Site, causing damage to buildings, including historical ones. The event has been analysed using both meteorology and geomatic technologies, to have an overview on spatial and temporal evolution of the phenomenon. Global Navigation Satellite System Zenith Total Delay (GNSS-ZTD) data obtained by receivers located around the city of Matera, were compared with measurements from ground-based devices (i.e. weather stations), Numerical Weather Prediction (NWP) models, and ERA5 reanalysis. To assess the extent of the flood and show the flooded areas, the images provided by the Sentinel-1 Synthetic Aperture Radar (SAR) were used, isolating and analyzing the images captured before and after the event. Finally, through a digital terrain model, developed using Agisoft Metashape software from satellite images, the morphology of Matera was recreated to evidence the areas of accumulation of water. Once all the information was obtained, the data correlated showed an overall view of the event
Preliminary Results of the AEROMET Project on the Assimilation of the Rain-Rate from Satellite Observations
The regions close to the sea are often hit by meteorological systems that generate over the sea and then are advected towards the land. These systems impact the activities over the sea and is it important to predict their occurrence for the safety of the people as well as for the best prediction of ship-routes. The lower number of meteorological observations over the sea compared to the land and the absence of the orographic triggering mechanism, makes prediction of these storms difficult. Satellite observations are very important in this framework because they provide data over both land and sea that can help the prediction of convective storms.The AEROMET project (AEROspatial data assimilation for METeorological weather prediction) aims to assimilate the rain-rate estimated from satellite observations into the Numerical Weather Prediction (NWP) Weather Research and Forecasting (WRF) model to improve the prediction of convective meteorological systems, especially those originating over the sea. The method to assimilate the rain-rate is straightforward: given the best estimate of the rain-rate, it is assimilated in the model through 3D-Var with a simple cloud model. Two examples, occurred on 10 December 2021 and on 15 February 2022, show the feasibility of the method, nevertheless many cases must be studied to quantify the impact of the assimilation of satellite observed rain-rate on the precipitation forecast
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