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This leads to redundant data storage, poor change management and the risk of errors during manual data transfer.
A data provider, Experian [29], recently published a report highlighting among other extra issues, such as lack of proper funding and poor change management.
Spearman's rank correlation coefficient was used to identify the genes that were predictive of good or poor change in Ki67 between baseline gene expression and Ki67 protein level change.
Intersection of genes from patients treated with neoadjuvant anastrazole that predict for a poor change in Ki67 (P <0.01) with genes associated with adaptation of wt-MCF7 cells to LTED (P <0.001).
By intersecting genes predictive of a poor change in Ki67 with those upregulated in LTED cells, we identified 32 genes strongly correlated with poor antiproliferative response that were associated with inflammation and/or immunity.
To identify clinically relevant molecular markers associated with resistance to AIs that may be assessed in our in vitro models, we identified the intersection between genes that were significantly upregulated in MCF7 cells adapted to LTED [ 11] and genes predictive of a poor change in Ki67 in the clinical samples.
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It seemed that they wanted to match Kyle Arrington on Victor Cruz (keep in mind, this was before Cruz was regarded as a superstar), but Arrington's poor change-of-direction technique became too much of a liability for this matchup to sustain.
While not all the same people were poor at the end of the decade as at the start, the proportions of the poor changed little.
That paradigm began to weaken, Duflo explained, under the weight of "the very essential revelation that even if you take people who are entirely rational, just being poor changes your set of opportunities.
An interesting question, therefore, would be: in what ways is the SE model and approach uniquely equipped to develop FOSS-based SIs that deliver pro-poor change?
It has been suggested that such small-scale and home-grown solutions (e.g. mobile phone apps), usually championed by social enterprises (SEs), are more likely to introduce pro-poor change than infrastructure heavy ICT initiatives designed by state and other international actors.
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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