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RM contributed to developing design and methods and significantly critically revised and contributed to content in this manuscript.
EF was highest compared with the other methods and significantly different from CMRI and 4D-TomTec, but not from 4D-AutLVQ™ regarding manual correction.
Experiments on the BAliBASE dataset [ 12] show that our approach is competitive with the best progressive methods and significantly outperforms most non-progressive algorithms.
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Even though only 100 re-samples were used, the confidence intervals are much wider than those for the proposed method and significantly overlap for both sexes (with more commonly used 1000 re-samples, the confidence intervals would be even wider).
In spite of using training chains with ≤25% similarity to the test sequences, our method consistently and significantly outperforms the other methods based on the MCC index.
The learned dictionary can then be compatibly used in conjunction with the established SRC methods, and can significantly improve their performance for HSI classification.
Wide-ranging and highly practical, Nuclear Reprogramming: Methods and Protocols significantly expands the repertoire of methods available to perform, study, and understand nuclear programming, not only for cloning, but also for reprogramming somatic cells to stem cells.
Malicious actors are getting organized, growing smarter and becoming more sophisticated, which effectively makes traditional defense methods and tools significantly less effective in dealing with new threats constantly appearing on the horizon.
We have compared the proposed method with the several anisotropic diffusion methods, and obtained significantly better results in the means of the objective PSNR, SSIM measures, as well as the subjective, visual results.
However, one used computer-assisted instruction, and five used whole-school or whole-class methods and reported significantly positive effects on the students who had been in the lowest-achieving third or quarter of the classes at pretest.
That is, these items had a significant proportion of yes-answers in each group of ASC induction methods and differentiated significantly between the treatment and control conditions.
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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