Recombinant adenovirus, expressing the CS protein of Plasmodium yoelii, AdPyCS, was shown to induce a comparable degree of T cell-mediated protection against malaria as a single dose of irradiated P. yoelii sporozoites, causing inhibition of liver stage development. We now report that differently from sporozoite-induced immunity, interferon (IFN)-gamma does not mediate the protective immunity induced by AdPyCS, since a similar degree of protection was observed in AdPyCS immunized mice lacking IFN-gamma-/- and the IFN-gamma receptor (IFN-gammaR-/-) compared to that in wild-type mice. Depletion of CD8+ T cells from these immunized mice almost completely abolished the AdPyCS-induced immunity, indicating that the immunization with AdPyCS induces CD8+ T cell-mediated protective anti-malaria immunity, which is independent of IFN-gamma.

Content Delivery Networks have gained a popular role among application service providers (ASPs) and infrastructural companies. A CDN is an overlay network that gives more control of asset delivery by strategically placing servers closer to the end-user, reducing response time and network congestion. Many strategies have been proposed to deal with aspects inherent to the CDN distribution model. Though mostly very effective, a traditional CDN approach of statically positioned elements often fails to meet quality of experience (QoE) requirements when network conditions suddenly change. In this paper, we introduce the idea of CDN virtualization. The goal is to allow programmatically modification in CDN infrastructure designed for video distribution, adapting it to new operating conditions. We developed a complete simulator focused on CDN overlay network characteristics where we implemented several approaches for each of the CDN elements. Our results show a decrease of 20% in startup delay and network usage.

This paper addresses the stability of Model Predictive Control (MPC) with output feedback. The proposed controller uses a new state-space formulation of the system, and the control problem is presented as an LMI optimization problem. The stability condition for the closed loop is included as a Lyapunov inequality. The resulting optimization problem becomes nonlinear with the inclusion of the stabilizing condition. A suboptimal solution is developed and the problem reduces to a pair of coupled LMI problems. An iterative solution that converges to a stable output feedback gain is proposed. A polytopic set of process models can be considered. A simulation example is included in the paper and shows that the proposed strategy eliminates the usual practice of enforcing robustness by detuning the MP controller

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