Sentence examples similar to overall contribution rate from inspiring English sources

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While workers appear to be putting more into their 401(k) plans during this period of stock market weakness, overall contribution rates will still leave many workers far short of their retirement goals.

HelloWallet's chief executive, Matt Fellowes, called that combined $70 billion a "shocking figure" and expressed dismay that it was increasing at a faster rate than overall contributions were increasing.

"In fact, as they are now older, they are likely to have higher rates of welfare dependency and low labour force participation that does not reflect their overall contributions," say the authors.

Main outcome measures included CS rate, relative size of obstetric groups, contribution to overall CS rate, perinatal mortality ratio, neonatal distress, and maternal mortality ratio.

Increased Rho-dependent termination could reflect increases in pausing at a small subset of locations such that the contribution to overall elongation rate might not be as significant as the reviewers expect, even though the effects on Rho-dependent termination at specific sites could be large.

Primary caesarean deliveries contribute 2/3 to the overall CS rate, although the contribution of repeated CS is higher in regions with high overall CS rates [ 7].

CS rates in each group and contributions to overall rate can be compared across different facilities and between different levels of facilities.

The diffusion-induced contribution into the overall growth rate is always dominant in MBE [3 6, 14, 22].

It can be seen that for the ChimpZoo dataset, the main contribution to the overall error rate of the system is caused by falsely rejected faces of genuine individuals with P FR of 12.53%.

As before (Fig. 4 a- c), the feature selection procedure misses ϕ0 due to its relatively small contribution to the overall transition rate.

We miss ϕ0 and ϕ1 since their contribution to the overall transition rate is effectively very low: the average number of cells within ϕ1 is approximately 0.2, whereas the average number of cells within e.g. ϕ7 is approximately 1. Hence, leaving out ϕ1 will not change the overall result, and the algorithm chooses to neglect the feature in favor of sparsity.

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