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When users configure the frequency span (sample rate), the amount of overlapping between adjacent FFT frames is automatically adjusted, as illustrated in Equation 1, where Fs is the sample rate and X is the amount of overlapping of samples between adjacent FFT frames in percentage: 1, 024 / Fs × ( 1 − X ) = 4 μ s (1).
For 'Good' type genes, there is no overlapping of samples between stages, and for 'Severely' type genes, the samples in one stage have samples that severely overlap the samples in the adjacent/other stages.
Similar(58)
The total length of CGI overlapping with exons and introns in different gene regions normalized for the expectation estimated from overlapping of randomly sampled intervals.
For the T1 determination of triphenyl phosphate, CDCl3 could not be used due to overlapping of the sample with the solvent signal.
The datasets were generated at different times and contained different but overlapping sets of samples (Additional File 1: Table S1).
Moreover, there was a strong overlap of samples classified as never-smokers by the DCC-derived classifier and by the AC1/AC2 classification across all analyzed tumor data sets.
This will help increase recruitment, overcoming the frequent overlap of samples, such as the AGRE cohort, increasing the power of studies, as well as give greater information on the frequency of variants in clinical scenarios to help improve translation.
While these studies have identified potential susceptibility loci including 5p14.1 (Ma et al, 2009; Wang et al, 2009), 5p15 (Weiss et al, 2009) and MACROD2 (Anney et al, 2010), there is significant overlap of samples used and little replication of specific loci between studies.
This can raise the question about the potential conflicting or overlapping roles of sampling sizes and selection intensities in determining the results of these studies.
To address the issue of mobility of users in and out of the services and attrition over the study duration, the CORE study will consist of overlapping samples of individuals that may be measured at one or more subsequent waves.
The number of RBF hidden neurons and training time of ILRBF-BP are the greatest because the strong overlap of sample space increases the number of RBF hidden neurons and learning time, which yields a higher classification accuracy.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com