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Thus, the automatic selection of a single future axon among multiple elongating neurites occurs flexibly by means of the regularization of the somatic pool of factor X. Based on the phase diagram in Figure 4B, we see that robust neuronal polarization is realized when the threshold η is between the points indicated by (c) and (e).
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Clinical trials may have multiple end points, and the magnitude of raw correlation between the end points indicates the similarity level between the disease components that the end points are designed to measure.
Interestingly, E, which includes environmental factors unique to that individual and measurement error, was also, in all cases, significantly correlated between the time points, indicating substantial stability in the environmental factors underpinning variance in cognitive performance over the 10-year period as well.
An analysis of change in psychosocial health status between the two time points indicated CenteringPregnancy® women were more likely to have improved psychosocial health across time.
Differential expression analyses performed between consecutive time points indicated that major transcriptional changes were associated to para/endodormancy, endo/ecodormancy and ecodormancy/bud break transitions.
For each of the intervals between sputum collections, a kill index (KI) was calculated as the decrease in the count of colony forming units (cfu) per day between the counts at the two time points indicated in parenthesis, without using counts at intermediate time points.
A score between 0 to 3 points was considered a poor outcome and a score between 4 to 5 points indicated a good outcome.
Enriched functional terms shifted dramatically from d6 to d16, while there was rarely overlap in the enriched terms between the 5 time points indicating clear changes overtime in the regulation of HG activity.
This is because levels of genetic drift are inversely proportional to population size, causing rapid changes in allele frequencies in small populations, and the magnitude of these changes between two time points indicates the severity of the bottleneck [29].
An analysis of the effects of LUCa as an additional predictor on all sample points indicated significant differences between the coefficients across LUCa.
This gives the best chance that the shark was swimming in a direct path, as longer times between points indicates that the shark left the detection range of the VRAP and later re-entered to be recorded again.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com