Sentence examples for the data wherein from inspiring English sources

Exact(2)

After filtering and removing unsuitable data, the data wherein 44 earthquakes occurred from 1966 to 2004 are used.

MPlus software was used to account for the nested structure of the data, wherein sessions (n = 364) are nested within children (n = 120) are nested within clinicians (n = 58) are nested within clinics (n = 6).

Similar(58)

This conclusion is supported by the spectral counting of the MudPIT data, wherein FASN was represented by 417 spectra in the androgen-treated sample compared to only 45 spectra in the control sample.

The greater attentional demands could be inferred from the behavioral data wherein reaction times were longer for comparison task independent of stimulus modality.

d Augmented reality following reconstruction of the acquired data wherein a 3D overlay is obtained.

It may be useful to exploit this feature and aim for a more rigorous approach to the analysis of LC-TOF MS data, wherein all the aspects of the data generation process that are relevant to the eventual analysis are understood and accounted for in a sense, an ab initio approach to data generation and analysis.

The presenter, having the right to control the presentation display panel, is the source of VPB data, wherein every slide event in its presentation display panel, a new VPB data is sent to the server.

As orbital decay can be measured with relative accuracy, and its mechanism broken down into its constituent sources, the value of drag-related coefficients can be inferred by fitting modelled orbit predictions to observed data wherein the coefficient of interest is the adjusted parameter.

These values were confirmed by analysis of primate imaging data, wherein the estimated absorbed radiation dose to the renal pelvis was 0.650 mSv/MBq.

The EGM2008 is formed by merging terrestrial, altimetry-derived, and airborne gravity data, wherein the data standard deviations are less than 10 mGal (Pavlis et al. 2008).

Second, the results of this paper might have implications for the analysis of longitudinal data, wherein researchers are commonly confronted with missing data.

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