Motivated by problems modeling the spread of infections in networks, in this paper we explore which bipartite graphs are most resilient to widespread infections under various parameter settings. Namely, we study bipartite networks with a requirement of a minimum degree d on one side under an independent infection, independent transmission model. We completely characterize the optimal graphs in ...

Disasters are often accompanied by damage to critical infrastructure, including (wireless) communications infrastructure. Our solution for emergency communications is based on advanced networks: Generalized Access Networks (GANs), Body Area Networks (BANs) and Vehicular Networks, to support dynamic, resilient communication services for disaster management.

resilient modulus of pavement materials is a key property required for the pavement thickness design. this paper describes the results of an experimental study on the effects of temperature and loading frequency on the resilient modulus of a sbs polymer modified asphalt concrete under dry and saturated conditions. dynamic creep tests were conducted on dry and saturated specimens of the mixture ...

Individuals differ in their cognitive resilience. Less resilient people demonstrate a greater tendency to vigilance decrements within sustained attention tasks. We hypothesized that a period of sustained attention is followed by prolonged changes in the organization of "resting state" brain networks and that individual differences in cognitive resilience are related to differences in post-task ...

Today our society tends to become more and more dependent on large scale (global) infrastructure networks. In many cases, attacks on a few important nodes of such systems lead to irreparable local or, worse, global damages. Thus, designing resilient networks rather than reducing the effects of some unexpected attacks becomes a must. As the most resilient network, regarding any kind of attacks, ...