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We also suggested that there may be a vulnerability to glucose intolerance brought on by recent changes in lifestyle in people with long-term backgrounds of economically traditional lifestyles with limited food resources.
Often seen against the long-term background of modern German history since the era of Bismarck's unification of the country in the 19th century, the Third Reich is now increasingly also viewed in a broader international, even global context, as part of the age of imperialism, its drive for domination building on a broader tradition of the German quest for empire.
This effect was independent of any influence of long-term background trends, cigarette costliness or antismoking advertising activity.
The RTL algorithm is based on the analysis of the RTL prognostic parameter, which is designed in such a way that it has a negative value if, in comparison with long-term background, there is a deficiency of events in the time space vicinity of the tested point.
Recovery rates of long-term background water level in Holes 1 and 2 suggest the presence of zone adjacent to the aquifer with lower permeability than that estimated by the hydraulic tests.
Ultimately, the multibiomarker approach could serve in the identification of what are some of the most important mycotoxin mysteries: the role of mycotoxins in chronic disease caused by low-dose long-term background exposure through the intake of contaminated food and the toxicological risks posed by combinations of mycotoxins of frequent natural occurrence.
Estimates of long-term, background sediment generation rates place current and future sediment fluxes to the Great Barrier Reef in context.
To solve the problem that poses static objects concerning the updating of the long-term background model in dual background systems, we propose a system that, based on the results obtained from a dual background model, classifies the pixels according to a finite-state machine.
After a given time according to the learning rate of the long-term background, the pixel values corresponding to static objects will be learned by this model too, so that, following the hypotheses in Table 1, those pixels will be hypothesized from this time on as scene background.
Recently, Singh et al. [4] proposed a system for the detection of static objects that also bases on two background models however; it relies on selectively updating the long-term background model, entailing the above-mentioned problem of possibly taking incorrect updating decisions, and on tracking information.
As recommended in a recent review of the plain packaging literature, 5 the use of a time-series approach with multiple data points before the intervention increased the power to detect any effects over and above the long-term background and seasonal trends, and the inclusion of important time-related potential covariates decreased threats to the validity of the findings.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com