Sentence examples for more correlation between from inspiring English sources
Local suppliers have "far more correlation between output and wages," says Arun Warey, VIP's chief executive.
Also, we observe there is more correlation between the congestion level, the achieved queuing delay and the targeted delay with CoDel than with PIE.
But even if you look at whites alone {not shown here}, there isn't much more correlation between spending and achievement {regression coefficient0.13}.
In other words, if there is no more correlation between the initial parameters calculated on the training set and the current values, the algorithm has to be restarted again.
In general, when redundancy is more, correlation between two descriptions will be higher thus producing better quality from side decoder, while the central quality drops with the increasing of redundancy.
More, correlation between the monitored parameters (temperature, humidity and lighting) and macroclima data, kindly provided by the "Collegio romano" was looked for and some examples are reported from Additional file 1: Fig.0P to Fig.DA (all figures on external data file (EDF) have a capital letter as index).
With the advance of novel brain imaging technology more correlations between complex human properties and the neuronal substrate can be assessed.
All herbicide scores (at different days) correlated very strongly with each other, with herbicide scores on day 31 having r = 0.935 and r = 0.872 for correlations with day 37 and day 43 respectively and day 37 and day 43 with r = 0.920 (see Additional file 6: Table S3 for more correlations between herbicide scores on different dates).
Here we do not explore the cause of variability but test the idea that if compensatory changes occur regularly they should lead to many more correlations between genes being observed than would occur by chance.
Furthermore, more and more correlations between three arms of ER stress and autophagy were found in recent studies.
To test whether there are more correlations between the genes from the same metabolic pathway (i.e. from fatty acid biosynthesis, starch metabolism, or leucine catabolism category) than could be expected by chance, we compared the co-expression network from experimental data (Fig. 2B) to 10,000 computationally generated random networks.
