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The aim of finding the differences between these data is to reveal patterns in the data, to see whether they are reliable for reporting detection limit values.
The discrepancy between these data is perhaps due to the presence of micro-inclusions, clinohumite lamellae, or clumped OH/F defects (Crépisson et al. [2014]) in the high F olivine (Dalou et al. [2012]).
The difference between these data is likely due to the difference in activation stimulus provided by culture of primary HSC on plastic [ 28] as compared to the mid-quiescent like phenotypic stability of the LX2 cell line.
Although some overlap between these data is observed, also clear differences are present, which may at least in part be due to the differences in the peptides that were used and the procedures that were applied to immobilize these peptides.
The slight difference between these data is presumably due to the different strain of rats used in our studies (female 344 Fischer) and the other studies (albino mongrel) [ 23].
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Besides the problems due to the number of CDs shipped between hospitals, the storage of all these data is the next problem to be tackled.
Next , 1.309kitchen design projects were analyzed for data and a regression model based on the correlations between these data was developed.
None of the regression analyses carried out between these data was significant for the control group.
The difference between these data was insignificant (P value = 0.39).
The collection of the four different datasets are from different platforms, the overlapping of miRNA probes between these data are about 40~60% while the detected differently expressed miRNA profiles only have 3% overlapping [ 15].
Therefore it is unlikely that important changes in either IQ or the presence of visual defects will have occurred between when these data were collected at 7 8 years and the time of the main data collection at 13 14 years.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com