Sentence examples for false enrollment from inspiring English sources

The officials said false enrollment figures could result in misallocated aid.

Given the evidence that Corinthian made false representations to secure enrollment, any waiver of liability for a purchaser of Corinthian campuses must ensure adequate relief for past and current students.

However, because the prevalence of CHD in China is still low[24], and our controls all had normal ECG and no clinical symptoms before enrollment, the false negative cases in the controls are likely to be rare.

All our controls were required to have normal ECG and no clinical symptoms before enrollment, thus the false negative cases in the controls are likely to be rare.

Since the goal of the retrospective workload evaluation was to identify all historical enrollments (i.e. False Negative = 0), the recall = True Positive/ True Positive + False Negative) and the negative predictive value NPV = True Negative/ True Negative + False Negative) were always 100%.

To minimize false-positive results related to population stratification, enrollment was limited to individuals of self-reported Caucasian ancestry.

But Democrats maintain that the gap is due more to poor planning by the LePage administration than to growth in Medicaid enrollment and that Mr. LePage is using a false pretense to push an ideological agenda.

A increase of maximum key size is achieved in various scenarios, e.g., when applying several biometric templates at enrollment and authentication or when increasing the desired false rejection rates.

The suit contends they were routinely given both "scrubbed" and accurate data regarding finances and enrollment, matriculation and graduation rates and deliberately asked for and used false information in dealings with investors and the public.

The intersubject dependencies of false nonmatch rates were investigated for a minutiae-based biometric authentication process using single enrollment and verification measurements.

Since key-generation schemes tend to reveal worse accuracy compared to key-binding approaches (unless a large number of enrollment samples are applied) these are expected to be highly vulnerable to false acceptance attacks.