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Right now the database features only human mechanisms, however this can be extended to other species.
Also, in the database features, sets and subsets of miRNA target predictions may be picked.
Search terms were set and combined according to the database features (table 1).
However, the direct text format does not have the database features of the Excel format, which facilitate reusability, documentation and links to references.
The final two columns of the database feature links to literature resources and genotype/phenotype findings of each individual variant.
Table 2 includes the Spanish EPIC database with the same database features presented in Table 1.
First, adapting the model and its applications when new database features appear is difficult.
Table 1 includes some database features, such as the number of words, duration, and signal-to-noise ratio (SNR) [43] of each speech file.
The performance of MFCC and WLPC (UWLPC and DWLPC) features on TI-Alpha database has been presented in Table 4. Table 4 Performance of WLPC features on TI-Alpha database Features Feature vector length % Recognition rate MFCC 39 84.1 UWLPC 20 85.2 DWLPC 20 87.0.
The database features motion capture data and videos from human and environmental interactions, locomotion, physical activities and sports, situations and scenarios, and test motions.
Here we present RegPrecise Version 3.0 with significantly increased biological data content and novel database features.
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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