Sentence examples for identifying wrong from inspiring English sources

Current methods support in identifying wrong elements or dependencies but support during the verification of the abstraction level is missing.

They are lifting themselves out of oppression and following the "third way" of Jesus Christ by (1) identifying wrong in their local community, (2) personalizing the wrong, (3) focusing intensely on it and (4) bearing the truth in love.

The authors consider the chance of missing associations in this study greater than the chance of identifying wrong associations.

Although random sampling can only ensure that a result is correct with a given probability (based on the size of the work, the number of samples and the percentage of the work that is corrupted), it can identify wrong results with certainty and deliver very useful information to a reputation mechanism.

Why item authors do not more precisely identify the options selected most rarely by candidates may partly be explained by the fact that the authors use expert knowledge for their appraisal whereas candidates are not yet at this expert stage and also use their "test wiseness", hidden cues and other item flaws to identify wrong options [ 8].

Since most of the assignments are inconsistent, ARIA performs an iterative protocol to identify wrong assignments and noise peaks: at each iteration, the restraint list is corrected by filtering out unlikely assignments and noise peak, and then, based on the filtered restraint list, a new structure ensemble is calculated.

Your brain learns to identify wrong signals and ignore them.

They argued that contemporary Jews were identifying the wrong lunar month as the month of Nisan, choosing a month whose 14th day fell before the spring equinox.

Rescues often get litters in due to pet shops mis-sexing (identifying sex wrong) rodents so you can still get them as babies.

Invariably, they identify the wrong culprit for the wrong reason and award a penalty to the wrong team.

Furthermore, these data are compatible with the assumption of the E-Z Reader model that early oculomotor decisions reflect "hedged bets" that a word will be identifiable and, when wrong, lead the system to identify the wrong word, triggering regressions.