Sentence examples for errors that might occur from inspiring English sources

This would remove any potential errors that might occur due to the effects of Einstein's theory of general relativity, which says that clocks tick at different rates depending on the amount of gravitational force they experience – clocks closer to the surface of the Earth tick slower than those further away.

Apple's flaw came about because some programmer inadvertently duplicated a line of code that, appropriately, read "goto fail". The result was that under some conditions, iPhones and Macs would silently ignore errors that might occur when trying to ascertain the legitimacy of a website.

They note that in the past, when young nurses and doctors learned most of their clinical skills during a residency, they tended to downplay the gaps in their knowledge for fear of frightening patients or being blamed for medical errors that might occur.

Polypeptides can be defective due to errors that might occur during or after translation.

A 0.3% similarity threshold was empirically chosen as a level of divergence that would allow for sequence errors that might occur between identical sequences, about 5 nucleotide positions in the approximately 1.5 kb 16S sequence.

In order to avoid false positive (type 1) errors that might occur when using outbred mice that are siblings, we specifically requested that each mouse be obtained from a separate family.

The other error that might occur in a statistical test is that a systematically higher response from the test concentration is not recognized as such, so that an existing effect remains undetected (Fig. 2c).

For pragmatic reasons, we use metrics that are logarithmic (such as the magnitude), mainly to reduce the potential for large statistical sampling error that might occur using linear measures (such as energy or moment release).

Therefore, the maximum error that might occur in the determination of lowest amount of caffeine (0.5% w/w) in green coffee beans containing maximum amount of theobromine (0.01% w/w) will be 2% which is within the acceptable range.

This makes PS-OCT more robust against possible errors e.g. registration errors or motion artifacts that might occur between separate measurements.

This strategy allows results to be fully evaluated while bearing in mind the relative possibility of falsely significant results in parametric tests of small patient groups (Type I error) and false null results that might occur in the more conservative nonparametric tests (Type II error).