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Experimental results show that our proposed method have comparable performance with many state-of-the-art single-image SR methods.
The results obtained by our simple method have comparable accuracy with those obtained from more elaborate experiments.
It shows that, in case of both direct (left figure) and indirect (right figure) associations, the most significant relationships given by our method have comparable literature support to the ones given by noHidden, and both are better than the result given by Np.
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The registration method has comparable performance to our previous registration technique; however, has the advantage of lower computational requirements and hence, is potentially more suitable for clinical applications.
Objective and subjective test results show that the proposed method has comparable quality to the FAC algorithm while saving the bits for encoding the aliasing signal component in the FAC algorithm.
Finally, comparing the HS-SPME results for extraction and determination of selected triazines using PPy-DS fiber with the other methods in literature shows that the proposed method has comparable detection limits and RSDs and good linear ranges.
The Kulis [58] method has comparable results to the baseline method (possibly due to some uniqueness in the data set) and the Wang [121] method slightly outperforms the baseline method (possibly due to a weak manifold structure in the data set).
The method has comparable or even better potential to improve cancer characterization than the CCS method.
Our treatment method had comparable results with 44.8% of patients considering their treatment outcome very good or good, 41.8% as satisfactory and sufficient and 13.4% as insufficient.
The corresponding values for urine samples were 89.0% and 98.3% This study shows that the SDA method has comparable sensitivity and specificity in cervical swabs and urine specimens for C. trachomatis testing.
With respect to lipid measurement, the two methods have comparable reproducibility and the experimental errors are relatively small compared to natural variations of fish to fish within a sampling site.
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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