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Therefore, we analyzed the rough samples of the aggregates that included the fine particles.
In our approach, training samples are clustered in the primary recognition, and only the rough samples are used to train the SVM in the advanced recognition.
PIXE analyses allow the quantification of the amount of pigments anchored onto the hardened mortars, even if the observations by Scanning Electron Microscopy (SEM) remain necessary to study the near-surface microstructure, especially for the rough samples.
In Figs. 7 and 8, the velocity based on the rough samples is drawn in black, and the velocity based on the smoothed samples is drawn in red.
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However, rough sample size estimations were attempted.
This is a rough sample only.
There is some fluctuation in this correlation between capacitance and roughness, which increases for the rougher samples.
The results in Fig. 6a for all three types of samples show that there is a clear trend towards larger capacitance for rougher samples.
It was observed that the intermixing width could be as high as 2.1 nm for the roughest samples (larger periods) or as low as 0.4 nm for those with the sharpest interfaces (smaller periods).
For BSA and fibrinogen, on the roughest samples, protein density is well beyond the theoretical monolayer (Fig. 4C).
The order of photocatalytic activity of Cu2O with different morphologies was as follows: hollow octahedral morphology with rough surface (samples d, e, and f) > hollow octahedral morphology with smooth surface (sample c) > hollow sphere morphology (sample b) > solid octahedral morphology (sample a).
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