Sentence examples for benchmark findings from inspiring English sources

The aim of this study was to identify key farm and field characteristics that drive farmers' land allocation, based on substantial datasets, and to benchmark findings for farmer perceptions with interviews.

The diffusion model naturally accounts for a number of benchmark findings (Ratcliff, 2002), including the right-skew of RT distributions, the speed accuracy trade-off, the linear relation between RT mean and RT standard deviation (Wagenmakers & Brown, 2007), the relative speed of errors as a function of bias and the fact that the right-skew increases with difficulty.

As a benchmark, the findings from evidence on the bedside handover were used to give meaning and strength to the proposed change.

To further benchmark our findings, we also estimated the expected distribution of repeated adaptive evolution if its occurrence was unrelated to the phylogenetic separation of taxa (i.e., historically contingent effects on the outcome of adaptation were absent).

"The UK X Factor has set the benchmark in finding worldwide superstars over the years – including One Direction, Leona Lewis, Cher Lloyd, Olly Murs, JLS and Little Mix".

We benchmarked our findings with available international data on diabetes medicines' use.

We then benchmarked these findings against conventional measures of bursts (BDs, BD CVs), and their intervals (IBIs).

DCCs contributing to a surveillance network for infectious diseases may judge this directly by benchmarking their findings with that of the other DCCs.

In the large tree setting SPRIT compares well to the alternatives when benchmarked on finding a minimum solution within a reasonable time.

The review was conducted using rigorous reviewing methods, including a comprehensive search strategy, double screening of all titles, abstracts and full-text articles, the use of a robust approach to selecting benchmark reviews, with findings elaborated with reference to other reviews.

Nevertheless, as an exploratory tool (the intended purpose of unsupervised learning) such analyses can provide a benchmark to compare findings from more complex approaches and provide opportunity to raise new questions regarding the resulting value of multipollutant categorization for epidemiologic research.