Sentence examples for uncertain inconsistent from inspiring English sources

Once the instrument was working, it sent back uncertain, inconsistent findings over this polar region.

For example, primary care clinicians argued that performance indicators were more likely to be used if clinicians saw these indicators as being "evidence-based" ([ 51]; Audit), while clinical practice guidelines were less likely to be used if primary care doctors saw the evidence upon which guidelines were based as being uncertain, inconsistent, limited and/or complex ([ 46]; EBM).

It is specifically designed for unknown systems in uncertain and inconsistent conditions.

The effect of healthy ageing on GE is uncertain with inconsistent observations [ 43- 49].

Secondly, there are seven copies of the rDNA gene in Cronobacter and intrageneric differences can lead to uncertain and inconsistent base calls with subsequent errors in GenBank entries.

In addition, the interpretation of the lymphoma results remains uncertain as inconsistent estimates were obtained in the sensitivity analyses (Supplementary Table 7).

Too often, however, executives have had to operate with uncertain, incomplete, and inconsistent information.

What may seem sensible on first inspection, emerges as a lot more inconsistent, uncertain and complex on closer examination.

The efficient mathematical tool for dealing with uncertain, vague and inconsistent objects is rough sets theory which introduced by Pawlak.

However, whether the same benefits can be achieved by prescribing ezetimibe alongside statins to achieve similar reductions in LDL-C remains uncertain owing to inconsistent trial outcomes, particularly where endpoints such as carotid intimal thickening and vascular reactivity have been used as surrogates for CVD risk [ 2].

Known limitations to assessments of spontaneous reporting of safety signals include (1) variable reporting across products and time, (2) imprecise denominators attributable to uncertain exposure, (3) inconsistent report quality and (4) reporting biases that may be influenced by product approval date, nature of the adverse event and publicity.