Shear stress activation of nitric oxide synthase and increased NO levels in human red blood cells

Since the discovery of nitric oxide (NO) as a vasoactive molecule, red blood cells (RBC) have been considered to participate in NO-mediated control of the circulation. The classical role attributed to RBC was scavenging of NO, thereby impacting the local bioavailability of this important regulator of vascular tone^1^. RBC have been shown to be a source of NO, primarily via its transport bound to haemoglobin^2, 3^. Under specific conditions, haemoglobin plays an active role in converting NO derivatives (e.g., nitrite) to NO^4, 5^, with this NO originating from RBC being an effective modulator of vascular smooth muscle tone^6^. Interestingly, RBC contain a NO synthase (NOS) protein^7^, can actively synthesize NO using L-arginine as a substrate^8^, and can export NO under appropriate conditions^8, 9^. It has been previously hypothesized that RBC NOS may be activated by shear forces acting on the cell^10^, and we have recently shown that RBC NOS phosphorylation can be enhanced by subjecting RBC in suspension to shearing forces^9^: NO concentration in the suspending medium was increased subsequent to flow of RBC suspensions through five [mu]m pores^11^. We have now directly demonstrated increased RBC NOS activity and intracellular NO levels in immobilized RBC exposed to well-defined fluid shear stress. Immunostaining for serine 1177 phosphorylation and the NO-sensitive fluorescent probe diaminofluorescein were employed. Our results suggest that RBC deformation in constricted vessels may increase NO levels and favor vasodilation, thereby providing an important role for RBC in regulating the circulation

Coherent Selection of Independent Trackers for Real-time Object Tracking

International audienceThis paper presents a new method for combining several independent and heterogeneous tracking algorithms for the task of online single-object tracking. The proposed algorithm runs several trackers in parallel, where each of them relies on a different set of complementary low-level features. Only one tracker is selected at a given frame, and the choice is based on a spatio-temporal coherence criterion and normalised confidence estimates. The key idea is that the individual trackers are kept completely independent, which reduces the risk of drift in situations where for example a tracker with an inaccurate or inappropriate appearance model negatively impacts the performance of the others. Moreover, the proposed approach is able to switch between different tracking methods when the scene conditions or the object appearance rapidly change. We experimentally show with a set of Online Adaboost-based trackers that this formulation of multiple trackers improves the tracking results in comparison to more classical combinations of trackers. And we further improve the overall performance and computational efficiency by introducing a selective update step in the tracking framework

Statistical Reasoning: Choosing and Checking the Ingredients, Inferences Based on a Measure of Statistical Evidence with Some Applications

The features of a logically sound approach to a theory of statistical reasoning are discussed. A particular approach that satisfies these criteria is reviewed. This is seen to involve selection of a model, model checking, elicitation of a prior, checking the prior for bias, checking for prior-data conflict and estimation and hypothesis assessment inferences based on a measure of evidence. A long-standing anomalous example is resolved by this approach to inference and an application is made to a practical problem of considerable importance which, among other novel aspects of the analysis, involves the development of a relevant elicitation algorithm