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Using the normalised models, warping factors were estimated for each of the test speakers from the adaptation set utterances.
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We found higher prevalence of LSI using the normalised within-subjects model, compared to a conventional Gaussian between-subjects model.
Prevalences at both the segmental and patient level were generally higher using the normalised within-subjects model (2.8 to 16.8% of segments; 23.3 to 35.5% of individuals) compared to the conventional Gaussian model (0 to 15.8%; 4.7 to 19.6%).
The degree of standardisation, cost of standardisation and time required to start the study were standardised on a scale from 1 to 10, with individual beta coefficients derived from the regression model using the normalised variables.
Sites of enrichment were identified using the normalised log2 ratios and the NimbleScan peak finding function.
The FMT data were reconstructed using the normalised Born approximation using the slab approximation [ 27].
To test these expectations, we used the Normalised Difference Vegetation Index (NDVI) as an index of NPP.
The SIy in each texture has been calculated with Heliodon2 software, using normalised models; the relation between SIy and UMIs were investigated using least-square regression analysis.
Every sample was run on duplicate PCR array plates and the relative quantification of mRNA was performed using the 2-ΔΔCt model and normalised to the average of two or more housekeeping genes on the PCR array.
Preprocessed data quality was assessed using the global normalised, unscaled standard error (GNUSE) [ 14].
Figure 5 Comparison of normalised throughput results obtained using the model with those from simulations, P se = 1.
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