Sentence examples for been affected by data from inspiring English sources

It is the second time in the past 12 months that TalkTalk customers have been affected by data breaches.

In a letter to the DCMS committee, dated yesterday, Facebook said it is working with regulators in different countries to confirm exactly how many local users have been affected by data leak.

To preserve the weekly periodicity without being affected by data collection issues, we analyze the data from December 5 to December 11, and from January 30 to March 11 (49 days in total).

The life-cycle analysis can adopt different analytical methodologies and are affected by data availability and uncertainties surrounding the value of key attributes.

However, the accuracy of the semi-variogram is affected by data size, and it may give unreliable estimates when the measurement data are sparse.

The reason is the study of convex programming problems that are affected by data uncertainty is becoming increasingly important in optimization in many real-word optimization problems (cf. [11]).

Execution times have been continuously hampered by the variability of computer performance, specially for parallel programs which are affected by data races, thread scheduling, synchronization order, and contention of shared resources.

We suggest this procedure to be applied by default in water resources estimations that are affected by data scarcity, but especially when data sets are evaluated using hydrological models.

Acknowledging that the results for a number of these species may potentially be affected by data availability constraints, in the most optimistic case, around half of the taxa in the genepool are highly under-represented in ex situ conservation.

Given the extensive time course followed, the large data volumes accumulated, and the consistent trends detected, these findings could hardly be solely attributed to data incompleteness (although conclusions drawn from data mining might well be affected by data integrity and/or sparseness issues).

These four quartet conditions allowed us to examine how eye-movements are affected by data-driven changes in object/background relationships across pictures within the quartet in concert with top-down biases of cultural experience.