Sentence examples for to reduce potential errors from inspiring English sources

Several authors recommend using perchlorate to reduce potential errors [ 17].

Thus, it may become possible to reduce potential errors due to sampling bias from a stereotactic biopsy [ 21].

The frequency of miRNAs in the three libraries was normalized to one million to reduce potential errors before calculating the fold-change, P-value and ratio.

To reduce potential errors resulting from stimulated echoes in a multi-echo Carr-Purcell-Meiboom-Gill sequence [ 24, 25], the first echo (TE = 10 ms) was not included in the T2 fitting procedure.

To reduce potential errors due to the lower sensitivity of fundoscopy and noncentralized fundus evaluation, the analysis of concordance between DR and CKD considered only individuals with advanced DR. Finally, potential limitations concerning the assessment of DN have been addressed in previous RIACE reports (14, 18, 20).

In order to reduce potential errors and assessor bias, interviews were double-checked by follow-up calls to 20% of the interviewees, and if this procedure revealed any abnormal finding in even a single questionnaire, all interviews conducted by the interviewer concerned were reassessed.

Recently, de Hoon et al. discovered that cross-mapping may contribute to the sequence heterogeneity observed in data obtained from high-throughput sequencing libraries and proposed that a correcting algorithm might be useful to reduce potential error caused by cross-mapping [32].

In order to further reduce potential errors, only data from 10 K min(^{-1}) heating runs will be discussed, as higher rates result in larger heat flows.

The move is part of an effort by the Treasury Department to shift transactions away from paper to save money and reduce potential errors.

Therefore, in order to facilitate the implementation of WES-based genetic testing, an integrative tool is essential to provide a comprehensive data source for variant assessment, and to automate, therefore, enhance the efficiency of the process and reduce potential errors that may arise in handling large datasets.

This work is a first approach towards the standardization of minimally invasive surgery which can eliminate or at least reduce potential errors.