BACKGROUND Previously, we demonstrated that hypofibrinolysis, a decreased capacity to dissolve a blood clot as measured with an overall clot lysis assay, increases the risk of venous thrombosis. Here, we investigated the combined effect of hypofibrinolysis with established risk factors associated with hypercoagulability. METHODS AND FINDINGS Fibrinolytic potential was determined with a plasma...

We explore the relevance of the celebrated Central Limit Theorem (CLT) of statistics to citation averages, namely, Impact Factors (IF). The CLT predicts that, first, due to random fluctuations, the range of IF values that are statistically available to a journal of size n, follows a 1/ √ n behavior. Large journals (high-n), whose IF’s vary within a narrower range, are thus penalized in IF ranki...

Immunoglobulins (Ig) play a key role in protection of fish against bacterial and viral pathogens. Atlantic salmon has three types of Ig (M, D and T), of which IgM is the main actor of the adaptive humoral immunity. Ig heavy chains are encoded with two loci and their variable regions (VR) are produced by somatic recombination of J, D and V genes. While immunological methods detect specific antib...

The general model of coagulation is considered. For basic classes of unbounded coagulation kernels the central limit theorem (CLT) is obtained for the fluctuations around the dynamic law of large numbers (LLN) described by the Smoluchovski equation. A rather precise rate of convergence is given both for LLN and CLT.

– We provide numerical indications of the q-generalised central limit theorem that has been conjectured (Tsallis 2004) in nonextensive statistical mechanics. We focus on N binary random variables correlated in a scale-invariant way. The correlations are introduced by imposing the Leibnitz rule on a probability set based on the so-called q-product with q ≤ 1. We show that, in the large N limit (...

We propose in this work to derive a CLT in the functional linear regression model. The main difficulty is due to the fact that estimation of the functional parameter leads to a kind of ill-posed inverse problem. We consider estimators that belong to a large class of regularizing methods and we first show that, contrary to the multivariate case, it is not possible to state a CLT in the topology ...