The recent scientific session of the American College of Cardiology (ACC), held in Orlando, provided a forum for ongoing cardiovascular clinical trials from around the world. The high point was clearly the first ever release of results from the CURE study. The Late-Breaking Clinical Trials sessions also featured results and interim data from other trials such as MIRACLE, CAPRICORN, SVG WRIST, R...

When judging their likelihood of success in competitive tasks, people tend to be overoptimistic for easy tasks and overpessimistic for hard tasks (the shared circumstance effect; SCE). Previous research has shown that feedback and experience from repeated-play competitions has a limited impact on SCEs. However, in this paper, we suggest that competitive situations, in which the shared difficult...

We study an Adaptive Window Protocol (AWP) with general increase and decrease profiles in the presence of window dependent random losses. We derive a steady-state Kolmogorov equation, and then obtain its solution in analytic form for particular TCP versions proposed for high speed networks, such as Scalable TCP and HighSpeed TCP. We also relate window evolution under an AWP to workload process ...

Scalable video coding enables multimedia content providers to cope with the heterogeneity of networks and multimedia devices. In this paper, we introduce the novel concept of Adaptive Residual Interpolation (ARI) as a tool for efficient spatial scalable video coding. This new approach is based on the interlayer prediction of residual data. We have implemented the ARI tool by making use of the J...

In this paper, we propose a bitstream switching scheme for progressive fine granularity scalable (PFGS) video coding that aims to improve the streaming performance of the scalable bitstreams. By switching among PFGS video bitstreams with different enhancement layer’s reference rates based on the same base layer, significant performance gain can be achieved, especially when the bandwidth fluctua...

The Semantic Indexing of French Biomedical Data Resources project proposes to investigate the scientific and technical challenges in building ontology-based services to leverage biomedical ontologies and terminologies in indexing, mining and retrieval of French biomedical data.

By observing that the faces at close ages are similar, some Label Distribution Learning (LDL) methods have been proposed to solve age estimation tasks that they treat age distributions as the training targets. However, these existent LDL methods are limited because they can hardly extract enough useful information from complex image features. In this paper, Sparsity Conditional Energy Label Dis...