Sentence examples for further ascertain to from inspiring English sources

Although the sample size in our study was relatively small and needed further ascertain, to our knowledge, this is the first study to provide evidence that fibulin-1 expression may play an important role in the prediction of NMIBC recurrence.

The histology of the presumably normal epithelial tissues collected adjacent to the carcinoma were further ascertained to be normal by pathologists.

In order to further ascertain PIM2 ability to trigger Notch1 or COX-2 or MMP-9 expression, we attempted to inhibit PIM2 synthesis in M. bovis BCG by D-mannosamine, an inhibitor of PIM biosynthesis.

Except for loss of EMP2 expression, significantly increased HRs of DSS and LRFS in NPC patients with higher stages (III IV) were further ascertained, analogous to other studies.

To further ascertain that these control individuals were resistant to disease progression, we ensured that a period of at least 2 years since exposure to a TB patient had passed at the time of recruitment.

To further ascertain that fetuin-A and albumin bind to calcium phosphate in a stoichiometric fashion and that these two proteins interact with each other by competing for apatite binding, we performed the following SDS-PAGE analysis.

To further ascertain whether NF-κB protein could bind to the ABCB1 gene in HCT116/L-OHP cells, we tested NF-κB ABCB1byB1 by ChIP.

In order to further ascertain the robustness of Optshrink LR + S method to rank, we present NMSE versus rank and PSNR versus rank for both the dataset in Figs. 7 and 8.

In order to further ascertain that these protein-mineral particles were similar to the NB described earlier, we used "NB strains" obtained and cultured from several different sources.

To further ascertain this, the mAbs in combination were subjected to hemagglutination inhibition assays against a wide range of H5N1 viruses from different clades.

To further ascertain data quality, frequencies were run on all data fields to identify and eliminate obvious outliers due to errors in data entry.