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On the other hand, if SR Ca2+ release in hESC-CMs is activated by Ca2+ signals of variable strength (as would be expected with variations in the relative location of RyRs and L-type Ca2+ channels) or by spontaneous SR Ca2+ release alone (i.e. model 3 above), there would be a poor correlation between the amplitude of ICa and the associated [Ca2+]i transient in these cells.
One possible explanation for this is that there may be a poor correlation between apoptotic cell frequency of attached cells and clonogenic cell survival (Guo et al, 1999).
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Conclusions: After decompressive craniectomy in severe TBI, there was a poor correlation between plasma and MD glucose concentration.
There was a poor correlation if values for DXA data were used as absolute values without correction for regenerate volume.
There is a poor correlation between thermal sensation vote and skin temperature in step-change transient periods.
In Fig. 14 there is a poor correlation between station corrections and the site amplification based on topographic data (the correlation coefficient is 0.30).
There was a poor correlation between the radial head diameter and the medullary canal of the radial neck, suggesting that a modular implant system should be considered.
However for the TA and pH, there were a poor correlation with the signal of the e-nose in MLR and PLS models.
The results show that the Souders Brown equation is a poor correlation for low pressure mesh pad design and identifies several mechanisms relevant for wire-mesh pad design.
Hayes et al. (2015) found that there is a poor correlation between clean-up operation cost and tephra accumulation, and therefore cost relationships as a function of discrete tephra fall are not appropriate for use in this analysis.
However, this cannot be proved with the evidence displayed in Fig. 3 which only indicates that, while there is a poor correlation between particle number and (DP_{loss}), this relationship seems to be clear in specific locations.
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