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For instance, with the dataset OS, imputation of missing values with kNN method gives an average CPP value (for the Ward algorithm) that equals 42.9%, while the average CPP values for all the other methods only equals 40.6% whereas its RMSE value is one of highest (see Table 4).
For one-core and quad-core implementations, the CPP value achieves the lowest point with 210 particles.
When the number of operations is corrected, this leads us to an obvious reduction in performance, approximately multiplying by 3 the CPP value.
The interpretation is straightforward: the CPP value increases with temperature and hence the spontaneous curvature at the interface becomes increasingly negative.
It was reported that the transformation from the Pn3m to the H2 structure [33] in MO-water at room temperature increases the CPP value from 1.31 to ∼1.70.
Hence, the electrostatic repulsions are sufficient to significantly decrease the CPP value and to destabilize the former bicontinuous cubic phase [1].
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Methods associated to high CPP values have also high CPP f values, while methods with low CPP values have also a lower CPP f values.
There was a statistically significant correlation between PtiO2 and CPP that was more powerful for CPP values below 60 mmHg (Spearman's Rho coefficient 0.50, p < 0.01) than for others (Spearman's Rho coefficient around 0.2, p < 0.01).
Furthermore, the impact of ARDS on mortality was nil, regardless of whether we induced CPP values noticeably above 70 mmHg to improve CPP and cerebral oxygenation if needed.
Our study indicates that the risk of brain tissue hypoxia in severely head injured patients could be really high when CPP is below the normally recommended threshold of 60 mmHg, is still elevated when CPP is slightly over it, but decreases at CPP values above it.
Secondly, there is one big difference between them: the cpp values.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com