2,140 research outputs found
Le Epistole eroiche di Lorenzo Crasso tra ingegnosa erudizione e mariniano diletto
No full textIl contributo costituisce il primo saggio interamente dedicato alle Epistole Eroiche di Lorenzo Crasso, nipote di Giovan Battista Marino e influente letterato della Napoli del secondo Seicento
[Teresa Rizzo Pescia (1897), funerary sculpture]
No full textFrom Berresford: Teresa Rizzo Pescia (1897), Lorenzo Orengo, Cimitero di Staglieno, Genoa.Seated woman.Title from Berresford
'Tango'' del Luis Rizzo Cuarteto al Conservatorio
No full textLuis Rizzo, chitarraAdrian Politi, chitarraRoberto Tormo, contrabbassoGaston Lorho, bandoneonSusanna Rizzi, voc
'Tango'' del Luis Rizzo Cuarteto al Conservatorio
No full textLuis Rizzo, chitarraAdrian Politi, chitarraRoberto Tormo, contrabbassoGaston Lorho, bandoneonSusanna Rizzi, voc
'Tango'' del Luis Rizzo Cuarteto al Conservatorio
No full textLuis Rizzo, chitarraAdrian Politi, chitarraRoberto Tormo, contrabbassoGaston Lorho, bandoneonSusanna Rizzi, voc
'Tango'' del Luis Rizzo Cuarteto al Conservatorio
No full textLuis Rizzo, chitarraAdrian Politi, chitarraRoberto Tormo, contrabbassoGaston Lorho, bandoneonSusanna Rizzi, voc
'Tango'' del Luis Rizzo Cuarteto al Conservatorio
No full textLuis Rizzo, chitarraAdrian Politi, chitarraRoberto Tormo, contrabbassoGaston Lorho, bandoneonSusanna Rizzi, voc
Assessing Reactive Responses and Gathering Restrictions for Eradicating Epidemic Diseases on Networks with Higher-Order Interactions
No full textWe characterize the dynamics of epidemic disease propagation on realistic temporal networks, where individuals participate in both pairwise and higher-order interactions. The latter captures large gatherings that may lead to superspreading events. We introduce an analytically tractable mathematical model for these temporal networks, based on continuous-time activity-driven networks, and study a susceptible–infected–susceptible (SIS) model spreading on its fabric. Utilizing a mean-field approach, we derive a system of ordinary differential equations (ODEs) that dictate the mean dynamics of the SIS process. By analyzing these ODEs, we identify the epidemic threshold of the model-revealing a phase transition between a regime where trajectories converge to a disease-free equilibrium and one where they stabilize at an endemic equilibrium (EE)-and delineate the unique EE for homogeneous networks. Subsequently, we integrate two distinct control measures into the model: i) restricting gatherings and ii) promoting a reactive behavioral response. We evaluate the efficacy of these control measures by computing the epidemic threshold of the controlled SIS model and employing various tools, including sensitivity analysis, mathematical optimization, and numerical simulations, to quantitatively assess how the control measures elevate the threshold, thus aiding in disease eradication, and how to amalgamate them for designing an optimal control policy
On a Susceptible-Infected-Susceptible Epidemic Model with Reactive Behavioral Response on Higher-Order Temporal Networks
No full textWe characterize the spread of epidemic diseases on higher-order temporal networks to shed light on the impact of large gatherings, where superspreading events occur and pairwise interactions are not sufficient to model the dynamics of infection. We propose a novel analytically-tractable continuous-time formalism for higher-order temporal networks based on the paradigm of activity-driven networks and we study a susceptible–infected–susceptible model spreading on top of it. By using a mean-field approach, we compute the epidemic threshold, characterizing a phase transition between a regime where the system converges to a disease-free equilibrium and one in which all trajectories converge to an endemic equilibrium. Using such a threshold, we quantify the role of higher-order interactions in favoring the spread of epidemic diseases, providing analytical support to restricting large gatherings during an epidemic outbreak. Finally, we incorporate a reactive behavioral response in the network formation process
RMDP: an FEC-based Reliable Multicast protocol for wireless environments
No full textIn this paper we present a Reliable Multicast data Distribution Protocols (RMDP), and discuss its performance. The protocol is based on the use of FEC techniques to drastically reduce the impact of independent losses for different receivers, which make ARQ-based protocols perform very poorly as the number of receivers grows. The protocol is well-suited to the use with mobile equipment because of its simplicity, robustness to losses, moderate demand for feedback, and scalability
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