Sentence examples for result of adjustments from inspiring English sources

The increase was largely a result of adjustments to the value of the company's retirement and pension plans.

But Cowart said that his heel was fine and that his diminished production so far this season was the result of adjustments opponents had made to take him out of plays.

The revisions, a result of adjustments in asset reporting by two large, unnamed lenders, suggest that banks and others "were going through their loan portfolios with fine-tooth combs," Mr. Low said.

These changes 1) allowed all medications to be removed in a kit in one step; 2) the kit could be retrieved more easily as a result of adjustments made in the identification process; and 3) the foam insulation kept the carboprost cooled as required.

Therefore, sector adjustments have been implemented to keep the sector classification consistent over time, and the adjustment procedures are listed in appendix (Tables 9, 10 for the result of adjustments).

The most recent one, in 2014, revised China's energy use upward, mainly as a result of adjustments to coal use.

Competitiveness will arise as a result of adjustment and structural reform, not as a precondition of support.

Secondary oil reservoirs are the result of adjustment of paleo ones.

This may partially indicate a socioeconomic effect; the point source index was among the only exposure indices that were reduced after adjustment for covariates, primarily as a result of adjustment for income and education status.

When considering the functional parameters (ie, the 66 possible pair-wise comparisons between drugs), we found differences between the results of adjustment models and the standard NMA model applied to published trials.

In a specific network of placebo-controlled trials of antidepressants, based on data already described and published previously by Turner et al., comparing the results of adjustment models applied to published data and those of the standard NMA model applied to published data allowed for assessing the robustness of efficacy estimates and ranking to publication bias or related small-study effects.