Sentence examples for bias setting from inspiring English sources

'Fixing the business' is about rooting out both conscious and unconscious bias, setting targets, and promoting capable women into roles with further potential.

The frequency bias setting "B" of the AGC, in (1), depends on overall droop characteristics of the generating units taking part in the primary response.

The result might not truly reflect the population if it is performed with a bias setting.

I examined the quality of published studies and the risk of bias, setting remission of MDD as the primary measure of effectiveness in this review.

This bias setting is only required to avoid any false misdetection and is tuned manually after observing the respective energy values for a large number of simulations.

Although CDFT inherits a lower computational complexity, but in order to accurately detect the occurrence of the events, a bias setting is always necessary, which alters according the dynamic operating conditions of the network.

Data were collected using a Channeltron detector in partial electron yield mode (retarding grid bias set at ~ 200 eV), varying the angle of the sample normal relative to the polarization vector of the incident X-rays.

Against this knowledge -- and the knowledge that this bias set in motion the events that ended the life of an innocent child -- we cannot continue to delude ourselves that our hearts, or our laws, are colorblind.

Not only can this lead to various cheating behaviors (the classic example being to exaggerate performance in the short term, reasoning it will be possible to make it up in the near-term future), this selection bias sets up unrealistic expectations for future performance.

The data matrix that included gap characters was analyzed using a mixed model with the binary Felsenstein (1981 -type 1981 -typeied to the gap-characters partition with the ascertainmodelbiappliedto variable, as suggesthe by Ronquist et al., [ 131].

However, the presence of heterogeneity would reflect even in these cases the possibility that, bias set aside, one would need to identify the sources of heterogeneity in subsequent studies.