Sentence examples for noteworthy errors from inspiring English sources

However, only one-tenth had noteworthy errors that would threaten the quality of COD statistics.

About one-fifth issued death certificates sustained improper COD statements and only one-tenth had noteworthy errors that would threaten the quality of COD statistics.

Content was based on information from a medical textbook of influenza rather than patients from the target population, and results of quantitative testing suggest noteworthy error in the total score (Cronbach's alpha of 0.66, N = 52) [ 12].

This strategy did not lead to a noteworthy decrease of errors, so that their response style became inefficient.

The agreement is noteworthy because significant error is expected due to the fact that harmonic frequencies are calculated whereas anharmonic frequencies are observed.

Although the execution time has an increase tendency with dimensionality of the feature set, it is noteworthy the decreasing error rate (from to ) when using a larger number of attributes.

It is noteworthy that the prediction error of path loss and time dispersion parameters exhibits a general decay trend with increasing calibration set size.

Also, it is noteworthy that since Gardner error works based on the sign alternation of the adjacent symbols, replacing sign(r 2k+2))−sign(r 2k)) instead of r 2k+2)−r(2k) in (4) improves the GaD algorithm's efficiency in CS detection.

However, if registries are to be heralded as the most accurate and reliable source for tracking immunization coverage in the future, this level of error is noteworthy when interpreting coverage calculations.

The use of objective measures in the present study is noteworthy because the measurement error associated with self-reported diabetes 15 16 and self-reported physical activity 17 may bias towards the null.

However, it is also noteworthy that the successive estimation errors of are almost impossible to happen; so our analysis only provides a loose low bound for sensing performance with state estimation errors under high detection probability.