Sentence examples for simultaneously corrected from inspiring English sources

All of the deformities were simultaneously corrected.

Measured arterial blood TACs were calibrated to the PET scanner and then simultaneously corrected for delay and dispersion [8 10].

Our surgical goal was to improve his facial appearance, so we simultaneously corrected the soft tissue clefts, including repositioning the medial canthi.

The vein pattern is quickly and accurately extracted from the captured finger vein image without a fixed finger position, as the position of a placed finger is automatically and simultaneously corrected.

Interestingly, the ectopic expression of NMD-proficient Smg6 constructs can efficiently repress the elevated c-Myc, which simultaneously corrected the Smg6-null ESC differentiation defect (Figs 4F and 5D and F).

Using a regression calibration method for the case of multiple covariates measured with error (Rosner et al, 1990; Spiegelman et al, 2001) and a SAS macro (Logan and Spiegelman, 2004), we simultaneously corrected for measurement error in fat and total energy intakes and adjusted for age, race, education, BMI, family history of ovarian cancer, oral contraceptive use, parity, and MHT use.

The proposed Multivariate Recursive Nesting Bias Correction (MRNBC) approach simultaneously corrects many GCM variables and repeats the procedure across different levels of temporal aggregation to impart observed distributional and persistence properties at multiple time scales.

This system can also simultaneously correct the spherical and chromatic aberration of the objective lens for improved spatial resolution.

When a hexapod external fixator is used to simultaneously correct angular and rotational deformity, the segments are rotated about this single plane.

In this article, we propose a novel method of simultaneously correcting for the bias arising from population stratification and/or for the genotyping error in case-control studies.

The work by Long [69] is a joint domain adaptation (JDA) solution that aims to simultaneously correct for the marginal and conditional distribution differences between the labeled source domain and the unlabeled target domain.