Significant interactions between measurement site, i.e. the oral compartments measured, and experimental phase were detected for peak and plateau frequency (p = 0.01112, p = 0.03228) as well as for average peak height (p = 0.00053).
As we have no indication that there were filtering-induced systematic interactions between measurement times and species identities, we use the filtering method derived r values to interpret the species interactions.
Moreover, it is critical to explore interactions between measurements computed from the neuroimaging and other clinical experiments which describe subjects in different vector spaces.
Finally, there needs to be active interaction between measurement and modeling.
The ANOVA showed that there was a significant interaction between measurement type (manual vs. automatic) and variable (D0, D1, or D2), indicating that the manual and automatic measurement values were inconsistently different across the variables p-value<0.001 p-value<0.001
There was a significant interaction between measurement week and photoperiod treatment (P < 0.0001, F = 35.33), indicating that SD treatment produced differences between the groups over time.
Repeated measures ANOVA on estimated testis volume over weeks 2 16 of short photoperiod treatment (L8 D16; SD) revealed a significant interaction between measurement week and photoperiod, (P = 0.001, F = 4.09), indicating that SD treatment produced differences between the groups over time (Fig. 1a).
In this work a robust method for a metrological validation of E measurements in the range 500 5000 kPa was developed, based on the realization of thick E standard samples and on the study of the interactions between the measurement process and the sample at micro- and nano-scale.
When interactions between treatment, measurement phase and probe value were added, the terms were not significant (Wald = 4.91, 3 df, p = 0.178; Model 5 in ESM), indicating that the shape of the generalisation curve did not differ by treatment, across phase.
But while much has been written about how to measure performance, little is known about the interaction between performance measurement and management (PMM) and the many ways in which organizations strive to improve their performance.
The solid circles show measurements made at the laser repetition rate of 1 Hz and with a magnetic mixer added to the suspension to facilitate rapid replenishment of the nanoparticle suspension in the interaction region between measurements.
