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The correct sample size to use in an experiment depends primarily on three things: the design of the study, the size of the treatment effects that one reasonably expects or hopes will occur, and the acceptable level of risk that effects of that size will indeed occur but the statistical tests will fail to detect.
When the signal size is large, the correct sample covariance matrix estimation leads to better localization performance shown in Figure 14.
According to the data amount, the first group required more frequent measurement to gather the correct sample of data for better pattern recognition, while the second group is resistant to infrequent precise measurement.
Samples for EI or CI analyses are normally introduced using a heated direct insertion probe and so it is important that the vaporization point of these samples is noted on the submission form in order to obtain the correct sample volatization rate to achieve good quality data.
The input pixel stream is buffered and delayed to provide the correct sample points for the 3 × 3 mask; each sample undergoes a pixel processing operation where it is enabled or disabled using the specified pixel sample register; the resulting output pixels, labelled P# in Figure 7a, are processed by a morphological chain operation.
DeconSeq's results reveal whether the sequencing experiment has succeeded, whether the correct sample was sequenced, and whether the sample contains any sequence contamination from DNA preparation or host.
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If there is a sample mix-up, the measurements will not correspond to the correct samples.
The predicted throughfall spatial distribution unveils localized dripping points, which pose a challenge to the correct sampling of throughfall.
The accurate synchronization in frequency and time domains is crucial to the correct sampling the incoming signal, simultaneous switching of multiple antennas, and extraction of Doppler characteristics.
This information would also be required a priori to any modeling to ensure that the correct sampling schedule is assigned for a certain patient group.
We checked all samples to discard contamination to avoid false positives from mouse DNA or plasmid, corroborating the correct samples management.
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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