Sentence examples for low number of errors from inspiring English sources

Furthermore, results of subject 1 (see Table 2) show a very low number of errors in this time window (only 1 out of the 21 trials).

If not, one may accept a low number of errors or re-introduce edges of node pairs (u, v) violating (4).

Data checking procedures showed a low number of errors, such as inconsistent dates, unfeasible values, and discrepancies between the individual patient data and the published trial report.

This sample had high versican V2 abundance but a low number of errors for only the final block of the RAWM.

The IGF system and IL-6 allowed to predict FGR in approximately 92% of the cases and AGA in 85% of the cases with a low number of errors.

In general, the ANNs performances were enhanced when processing the variables selected by IS instead of all the variables of the database; the optimized procedure allowed to predict FGR in approximately 92% of the cases and AGA in 85% of the cases with a low number of errors.

Under extreme low FDR value, the false negatives here might derive from super high sensitivity of our heat map model to even a low number of error sequencing reads in a genotype, that is, if there exist two mutant reads in a total of 30 sequencing reads in BN cells, its adjusted heat map-array value was likely to higher than 1 (red) in our model.

In addition, the inclusion of subjects with no or very low numbers of errors on the catch trials rule out the possibility of visuospatial disabilities as well as attentional deficits that would make completion of the task difficult.

The aim of this idealized test-case was to demonstrate the utility of RPGC, and we do not expect such low numbers of errors in larger, more complex genomes subjected to assembly.

From the directions of 0°, 90°, and 270° azimuth angles, the cues produced by HRTFs with reduced complexity did not affect the localization error (p>0.2). Surprisingly, cues produced by HRTFs of 128 non-zero coefficients did not have the lowest number of errors.

The main limit of our study is the low number of new errors to model the evolution of the error incidence risk after the 5th day, and this may alter the robustness of the chronological model.