Error: In everyday language, error is getting things wrong, usually in relation to aims and purposes [67]. There is a different technical use of the term error in statistics [27]. For statisticians, error means differences in repeated measurements. These measurement differences arise from either random variation or bias. Random variation causes inconsistent differences between measurements; bia...

BACKGROUND Direct and calculated measures of lipoprotein fractions for cardiovascular risk assessment suffer from analytical inaccuracy in certain dyslipidemic and pathological states, most commonly hypertriglyceridemia. LC-MS/MS has proven suitable for multiplexed quantification and phenotyping of apolipoproteins. We developed and provisionally validated an automated assay for quantification o...

In the published article, we detected a minor error in caption of Figure 7 where Group 3 and 1 have been inverted.The article has corrected accordingly.The is shown below:The originally also for reference:Original CaptionCollections: Knowledge Domain: Ocean Science, Special Feature: The Hudson Bay System Study (BaySys)Domain Editor-in-Chief: Jody W. Deming, University Washington, Seattle, WA, U...

Kőnig-Egerváry graphs (KEGs) are the graphs whose maximum size of a matching is equal to the minimum size of a vertex cover. We give an excluded subgraph characterization of KEGs. We show that KEGs are a special case of a more general class of graph: Red/Blue-split graphs, and give an excluded subgraph characterization of Red/Blue-split graphs. We show several consequences of this result includ...

This paper presents an artificial intelligence algorithmic knowledge transfer approach to the models that have been developed throughout world for smart grid networks. Many nations are moving forward implement smarter ways generate, distribute and network energy, while others expecting leading countries take initiative then follow suit. Therefore, we theoretically identify three dimensions of e...

In the decade or so since it first appeared, The Germ Theory of Management has been republished and downloaded countless times. It has been read and reread for its acute insight into the apparently perennial problem of why we struggle to adopt new theories that are aimed at improving our lives. It is thoroughly appreciated by those people who, having gained even a modicum of understanding and a...

This paper revisits two classic experiments used by W. Edwards Deming to teach concepts of quality management. The first, the red bead experiment, demonstrates how managing based on underlying system randomness can be highly problematic. The second, the funnel experiment, demonstrates how adjusting a system based on underlying random variations can significantly degrade system performance. This...

Our topic traces back to DEMING AND STEPHAN [1] who sought to reconcile an empirical joint distribution of two random variables with a priori known marginals for each and proposed an iterative scheme for determining a solution. Thus, in the case of finite probability spaces, the problem data consist of two probability vectors p0 and p1 together with the empirical joint probability matrix P = [p...