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The study made use of data from the female data file of the 2014 GDHS.
Table 4 shows the results of this case for the female data under the lynx noise.
Separate adaptation using male and female data led to gender-dependent models, producing the best performance in phoneme recognition.
To verify the performance of the proposed method, speaker verification experiments with both male and female data were made.
Since the percentage of female data on total data varies between the seasonal training phases, we further split the data by sex.
As no Gender effect was observed, male and female data were pooled for the partial comparisons.
Analysis of chromosome X was conducted in the female data set (AC n = 23 and SCCs n = 17).
Because gender did not interact with genetic diversity, male and female data were combined for further analyses.
Pooling the male and female data, 31% of expressed transcripts were expressed at different levels in males vs. females after correction for multiple testing.
Because no differences were observed between male and female flies in CO2 production, we pooled male and female data for statistical analysis.
Because there were no significant differences in the frequency of the mice with abolished circadian rhythm, both male and female data were combined to analyze.
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CEO of Professional Science Editing for Scientists @ prosciediting.com