Pascal Moyal

TL;DR: In this paper, the authors considered an SIR epidemic model propagating on a Configuration Model network, where the degree distribution of the vertices is given and where the edges are randomly matched, and the evolution of the epidemic is summed up into three measure-valued equations that describe the degrees of the susceptible individuals and the number of edges from an infectious or removed individual to the set of susceptibles.

TL;DR: Results indicated that B. fusca was the dominant stem borer species in high potential zones (highland tropics, moist transitional zone and moist midaltitude) while the exotic C. partellus dominated smallholder farms in low potential zone (dry midALTitude, dry transional and lowland tropical zone).

TL;DR: In this article, the authors considered an SIR epidemic model propagating on a configuration model network, where the degree distribution of the vertices is given and where the edges are randomly matched, and the evolution of the epidemic is summed up into three measure-valued equations that describe the degrees of the susceptible individuals and the number of edges from an infectious or removed individual to the set of susceptibles.

TL;DR: A privacy preserving solution in ITS context relying on a game theory model between two actors ( data holder and data requester) using an incentive motivation against a privacy concession or leading an active attack is proposed.

TL;DR: The matching model is introduced and it is proved that the model may be stable if and only if the matching graph is nonbipartite.