Suggestions(1)
Exact(6)
The retrieval performance obtained with these settings is shown in Table 9, from where it can be seen that, excluding the MFCC features, the results are fairly comparable to those obtained with the SLP classifier.
Gender and age distribution for all three settings is shown in Table 2.
The number of times each of the 20 contributory factors was identified across all of the study settings is shown in table 1 (total column).
A summary of the 13 studies, presenting analysis of tumor size dynamics in clinical settings, is shown in Table 2. Preclinical experiments comprise an important stage in the process of understanding drug effects.
The PREPACT 2.0 output using the above example settings is shown in Figures 4 and 5. Results on gene identification and the prognoses for RNA editing are available as individual tabs for each reference selected in the query form (Figs. 4 and 5).
A summary of the studies estimating prevalence since 1995 in various populations, designs, and settings is shown in Table 1, while the prevalence of FMR1 expanded alleles from newborn screening studies conducted in different countries is summarized in Table 2. fhx, family history of FXS.
Similar(54)
6 sets of limbs, orthoses and their immobilization settings are shown in Fig. 10.
The simulation settings are shown in Table2.
The system parameter settings are shown in Table 3.
The scan settings are shown in Table 1.
Other parameter settings are shown in Table 2.
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