Sentence examples for methods generated results from inspiring English sources

Both analytical methods generated results in concordance with each other presenting a similar trend of in vivo stability.

Specifically, when control sheep were compared to EP sheep all methods generated results closed to the mROC values with an average specificity and sensitivity of 88.1% and 87.3% respectively.

Methodological progress in biomedical ontology will be recognized when different methods generate results that can be objectively compared, such that it becomes possible to evaluate whether the methods yield better results.

> -wrap-foot> Moreover, the structure-based methods (GNM and pfGNM) and the sequence-based methods (pfSeqGNM and L-pfSeqGNM) have correlations at round 0.6, which suggests that the sequence-based methods generate results that are relatively similar to the structure-based methods.

The established methods and generated results form a valuable basis for setting up and analyzing high-speed craft experiments and simulations, and for validating and updating the prevailing semi-empirical methods.

The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of Xpert MTB/RIF were calculated using standard methods and Xpert MTB/RIF generated results (cycle threshold values) listed.

The empirical results for the two benchmark datasets, SZII and S&P 500, indicated that all hybrid models constructed using the two combination methods generated superior results than at least one of their individual components.

Both methods generated similar results for the release efficiencies, therefore immunoblots from both types of purification were combined to calculate the average release efficiencies with standard deviation and to perform the statistics.

In this work, the finite element method (FEM) provided computer generated results from electromagnetic fields, based on a 3D model of a transmission tower.

The aim is to examine whether potentially non-linear neural networks outperform latest statistical methods or generate results which are at least comparable with those of statistical models.

The WLS method is more robust than the OLS method and generates results that are different and more precise than the OLS method in the presence of heteroscedastic residuals in our rainfall-runoff data.