Sentence examples for method could correctly from inspiring English sources

Multiple impacts were also investigated and the method could correctly reconstruct force histories of consecutive impacts.

From all the figures in the right column of Figure 30, it was apparent to see, our method could correctly detect the foreground objects under the influences of shadows.

Thus, our method could correctly assign both strains despite of the incorrect phenotypic labeling.

Our method could correctly assign more maize and millet TFs into families in PlantTFDB 3.0 that were also shared by PlantTFcat.

But few methods could correctly relate river health to e-flows assessment at the catchment scale when they are applied to rivers highly impacted by human activities.

By combining the predictions from the local descriptor approach with predictions derived from the annotations of the closest sequence-neighbor in the training set (detected by PSI-BLAST [1], see Materials and Methods for details), we could correctly predict 70% of all the annotations, and at least one correct annotation for 76% of the proteins, with a precision of 30%.

When analyzing the components assembled compactly in the system for setting the shaker or measuring the impact force exerted on the component correctly, the proposed method could reduce the errors caused by an incorrectly measured force.

The proposed method could not deal with this issue correctly, and more clinical knowledge may be needed.

When a tree and character are simulated with asymmetrical rates in one process — speciation, extinction, or character state change — our question was whether the BiSSE method could detect this asymmetry and estimate the rates correctly.

Both of our empirical and simulated results demonstrated that under limited gene flow and enough separation time, we could correctly identify species using multilocus barcoding method.

We applied the proposed method to microarray time course gene expression profiles and could correctly predict expression patterns for more than 50% of 1,132 genes, based on the sequence motifs adopted in the network models, which was statistically significant.