Sentence examples for simultaneously biased from inspiring English sources

When the FEA was irradiated by near infrared laser pulses with 50 fs duration and the center wavelength of 800 nm, and simultaneously biased with the dc Vge, laser-induced electron bunches were generated.

This procedure is efficient in correcting between-array spotting differences but also simultaneously biased results relative to gene expression levels: sample signals corresponding to low vector signals are indeed artificially increased in comparison to those with high vector signals which are minimized.

This paper investigates both electrostatic control improvement and performance enhancement of UTBB SOI MOSFETs obtained in quasi-double-gate (QDG) regime (i.e. simultaneously biasing top- and back-gate (substrate or ground plane) as Vbg = k · Vg) as a strong function of k-multiplication factor, when compared to a standard single-gate mode.

Adding restraints derived from experimental data can, however, help to overcome this problem, while simultaneously biasing sampling toward relevant structures and restricting the conformational space that is explored, thereby reducing the simulation time and computational expense required for converged simulations.

The very strong agreement between the experts, blinded to each other for the adjudication of the primary endpoint, may be seen as an argument for the validity of our process, although we cannot exclude the fact that both reviewers were biased simultaneously in the same way.

The analysis appears biased as simultaneously the number of members in the ensemble and their fractional contribution are varied.

Most importantly, if all 10 classification methods are considered simultaneously, the bias due to the optimization of the classification method dominates all the other sources of bias, as investigated in more details in the next section.

Simultaneously, the bias voltage effect on the growth behavior of deposited gold films by pulsed vacuum arc has been studied by field emission typed scanning electron microscopy (FE-SEM).

(RMSE simultaneously considers bias and variance. This value represents the 'average' (root-mean-square average, to be precise) difference between the estimated AUC and the true AUC).

Simultaneously addressing biases in information flow whilst building capacity for research and publication are key to international development in general and to health in particular (21).

We find that on high-divergence data sets, MC4Inversion finds more optimal sorting paths per second than BADGER and the IS technique and simultaneously avoids bias inherent in the IS technique.