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By using a theoretical model, the two-step method is demonstrated to explore the entire solution space at a fast speed.
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Such arguments were revisited after works by Naveed and Grubbs et al. demonstrated how to explore several weaknesses of the construction, such as the application of OPE [46, 47].
This study demonstrates how to explore the resulting decision trees by analyzing the patient attributes used in the resulting trees.
We used an example to demonstrate how to explore the knowledge gaps in guidelines, and how to use data mining techniques to extract rules from patient records to provide supplementary information for these knowledge gaps.
In particular, the test configuration is demonstrated to be capable of exploring fault-related fluid flow behaviour in reservoir seal pair analogues with application for the hydrocarbon industry and the emerging field of carbon dioxide storage assessment.
We also treated MLL cells with AZD6244, a selective MEK-inhibitor previously demonstrated to promote FNMA and explored its' effect on aggregate cohesion, tumor cell detachment, and actin organization.
This technique has been demonstrated to be useful in exploring multiple brain functional networks, such as vision, language, attention, and the default mode network (DMN) [ 12] and has also been used to compare normal subjects with patients with neuropsychiatric disorders [ 13].
Three approaches to molecular phylogenetics are demonstrated to biology students as they explore molecular data from Homo sapiens and four related primates.
In this paper, composition-tunable CdSxSe1−x QDs have been explored and demonstrated to be efficient sensitizers for quantum dot-sensitized solar cells (QDSCs).
The Bayesian coalescent multispecies and multilocus method (*BEAST) was also explored, as it has demonstrated to perform better than supermatrix analysis in empirical and theoretical data [ 45].
We used a phylogenetic investigation of pedigreed strains or field samples of demonstrated rope-builders to explore this hypothesis, and provide a fitness value model based on the application of sedimentary physics to this phenomenon.
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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