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As shown in Figure 1, our model successfully extracts the object boundaries for these challenging images.
From Figure 6a,b,c,d, we observe that our model successfully extracts all objects of the complicated image for each of the four initial contours.
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Tables 4, 5, and 6 demonstrate that the models successfully extracted key lignin and lignin model compound vibrational modes.
The gene expression levels of HTLV-I-Tg mice and IL-1Ra-KO mice were quite similar with a high correlation coefficient (r = 0.91), supporting the assumption that a panel of specific genes was similarly activated in both RA models and successfully extracted common, differentially expressed genes.
The original LV lead (Medtronic Attain model OTW 4193) was successfully extracted and a new Pacesetter St Jude Durata model 7120 shocking lead placed in the RV apex.
If the model successfully describes the underlying sample dynamics, then the extracted spectra, Δε l, represent the true difference spectra of the constituent transient populations and are called species-associated difference spectra (SADS).
The model successfully predicted domain boundaries.
The proposed method successfully extracts the structure of geographic borders inherent in multi-scale mobility networks.
The TMD-based LeuT IF model successfully captures these observations.
The model successfully classified 84% of the participants (table 2).
The model successfully classified 85% of urban girls (table 3).
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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