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A very comprehensive dataset is needed in order to analyze these networks and to be able to determine what structures and processes promote the provision of effective and needs-related treatment.
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Further work with directly comparable datasets is needed in order to better understand the extent of conservation of nourishment-responsive gene expression across taxa.
Furthermore, a much larger dataset is needed for model construction in order to capture the detailed transition probabilities among the refined states.
Finally, replication of our findings in an independent dataset is needed to confirm the implication of the MTHFR A1298C gene polymorphism in the increased risk of atherosclerosis of patients with RA.
Furthermore, although confirmation in a larger dataset is needed, EGFR overexpression predicts TTBR independently from Gleason Score, which is an established prognostic factor in this disease.
Only a small dataset is needed for the training procedure.
In case of the S1 4 datasets, 1 swap is needed in 60% cases of a random initialization, and 2 swaps in 38% cases.
It is clear from the editors' concerns that data sharing consumes "scarce resources with little direct benefit" that a better way of crediting the use of datasets and software is needed in the sciences.
Findings from this dataset suggest that further research is needed in order to elucidate the relationship between immigrant status and DV.
In order to cover as large data as possible, we use the co-occurrence data, spanning over one hundred years, for the Section 4.1, but we had to use NBER data (smaller dataset) which have citation information that is needed in the Section 4.2.
An examination of sex differences disaggregated by age is needed in larger, more complete datasets.
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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