Sentence examples for affected by the date from inspiring English sources
Of secondary importance are the time stamps in the transaction and/or debug logs, and the date-related script programming constructs, such as \v date), \v(ndate), \v day), \v(nday), and perhaps also the time-related ones, \v time) and \v ntime), insofar as they might be affected by the date.
Severity of take-all was closely related to the numbers of volunteers in the preceding break crops and covers, and was affected by the date of their destruction.
Federal prosecutors estimate that about 60,000 service members were affected by the practices, which date to 2005.
The most mildew-susceptible germplasm 'Philippines' showed 40 51 % of its leaf area to be affected by the last evaluation date.
"Now we need to focus on preparations [for the match against Congo between 16-18 May] and also start to negotiate with the clubs because they might not release players". Players like striker Edward Sadomba could well be affected by the clash of dates between the 2015 qualifiers and continental club ties.
The dry season crop showed that both biomass and yield were affected by the interaction between planting date and variety.
It is estimated that 500,000 children are currently affected by the floods, which to date have claimed the lives of 52 children.
The use of molecular clocks is problematic even when good calibration points are available since time estimates are affected by the underlying assumptions of the dating methods [ 18, 19, 30].
Since the Compulsory Education Law was introduced in 1986, only the latter two school-year cohorts were affected by the minimum age and cutoff date.
Despite this, severity of take-all in the second wheat was relatively little affected by the treatments, especially in summer; date of ploughing had no effect and the small effect of different populations of volunteers could mostly be attributed to slightly more severe take-all following covers with the two largest, and agronomically atypical, populations.
To understand to what extent our estimates are affected by the assumption that the infection dates have been accurately observed, we randomized the estimated infection dates by adding a Gaussian noise with zero mean and a standard deviation of 2 days.
