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A week later we found that the workers who'd read about the "go back method" showed more creativity in tasks than the workers in the "grow method" group.
Furthermore, the robustness of the controller was investigated by inserting a perturbation uncertainty in all parameters simultaneously to obtain the worst case model mismatch, and the proposed method showed more robustness against process parameter uncertainty than the other methods.
However, PLS1 and PCR were applied to design calibration set based on absorption spectra in the 250 320 nm range for 36 different mixtures of AA, DA and UA, in all cases, the PLS1 calibration method showed more quantitative prediction ability than PCR method.
Regarding the specificity, the method showed more reliable results.
By applying modifications to the algorithm (i.e. GradWT2), the method showed more accurate tumour sizes (R2: 0.62).
The motion activity method showed more skipping of the disparity estimation process and fewer false alarms than method used by SKIP mode.
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According to the experimental results, the proposed method shows more precise performance than other algorithms.
However, the neighbor-reference method shows more balanced results, with the Q p and Q n of 0.79 and 0.78.
As a nondestructive diagnostic tool, chlorophyll fluorescence method shows more benefits compared with EL measurement, especially the more rapid process induces less secondary stresses to the samples.
Only gradient-based methods showed more outliers for Patlak-based tumor delineation.
The methods based on knowledge data detected above all similarity within the pharmacological class, whereas 2D and 3D molecular structure methods showed more flexibility to detect interclass similarity.
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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