Sentence examples for boosting hypothesis from inspiring English sources

Exact(5)

This so-called exogenous boosting hypothesis is based on the supposition that lack of exogenous immune boosting in latently infected persons might increase their risk of HZ.

First, even though different studies seem to be tipping toward the immune boosting hypothesis, there are also negative reports and the issue remains not yet definitely settled (Ogunjimi et al., 2013).

However, if potential effects on herpes zoster are incorporated, as suggested by the immune boosting hypothesis of Hope-Simpson, vaccination is either not cost-effective or cost-effective on a very long time scale of several decades.

Inclusion of the boosting hypothesis, however, results in dominance for the no varicella vaccination policy, because varicella vaccination would result in higher costs and QALY losses due to an increase of HZ in the adult population.

However, in many other countries policy makers have been hesitant to introduce childhood VZV vaccination due to the general population's perception of varicella as a relatively mild disease, as well as the so-called exogenous boosting hypothesis (Hope-Simpson, 1965; Ogunjimi et al., 2013).

Similar(55)

The other explanation which is typically invoked is the boost hypothesis, which states that, for some period after an initial event, the risk to nearby properties is temporarily elevated (Pease1998).

The finding boosts a hypothesis about how top predators transform the behavior of their prey and has implications for how scientists understand other ecosystems, including that of Yellowstone National Park in the United States.  .

The entire school reform movement is predicated on a hypothesis: boosting student achievement, as measured by standardized tests, will enable greater prosperity, both for individuals and for the country as a whole.

This in turn reinforces the hypothesis that boosting FBN1 expression may be an efficient therapeutic strategy for MFS.

It has been shown that as with other boosting algorithms, if each weak hypothesis is at least slightly better than random, then the training error falls at an exponential rate.

Upcoming research will explore the potential of combining different sources of knowledge, mixing different types of hypotheses and applying bagging and boosting optimisation techniques.

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