Sentence examples for between the expected number from inspiring English sources

Indeed, it is the magnitude of the difference between the expected number of connections and the actual number that signals you likely have a problem.

Consequently, there is a direct relationship between the expected number of fades wind speed transverse to the propagation direction, u ⊥, since (tau _{0}=sqrt {lambda L}/u_{perp }).

This feature is completely expected from Eq. (16), where an inverse relationship between the expected number of fades and the turbulence correlation time, τ 0, was established.

We derived a simple relationship between the expected number of CD4+ T cells in the acute and chronic phases for a constant level of host susceptibility or resistance.

The evaluation of data transmission stability (amount of time that the system was fully operational) was based on comparisons between the expected number of data sets sent daily by hospitals and the number of data sets actually received daily from hospitals by InVS.

The difference between the expected number of DPPs (ie, using the treatment uptake rates in 2000) and the estimated number DPPs (ie, using the 2007 uptake rates) is the net benefit of treatments in 2007.

The number of articles also varies between fields, where the expected number would be much higher for a synthetic chemist than for a neuroscientist.

For the case of Fig. 4 a, a direct relationship can be determined between ρ and the expected number of fades per second.

We estimate the location of the root as the location that maximizes the coefficient of correlation between time and the expected number of substitutions.

This imbalance is particularly problematic in methods based on pairwise associations between proteins, where the expected number of protein pairs sharing functional relationships is an even smaller fraction of all possible protein combinations.

In the three cases where L = 200, d = 28, r = 5, 8, 13, q = 4 – the 3 cases where the ratio between p and the expected number of q-hits in the parallelogram is smaller (85/46.2 = 1.8) – FINE was 78% slower than GOOD.