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The automated monitoring system was installed in 2011 and allows a better identification and interpretation of the variability of hydraulic appearances and the enhancing effect of the grouting campaigns mentioned before.
If this requirement is not met, as is the case with most if not all biological signals when physiological and/or pathophysiological conditions change, then the impact of trends with change on the mean of the data set must be considered in the interpretation of the variability analysis.
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To deepen the interpretation of the spatiotemporal variability of the 234U/238U ratio a wide range of hydrochemical and geographical data were included in the analysis.
The number of factors was restricted to three, and the factor scores after Varimax rotation were used for interpretation of the data variability.
In the light of these data, an interpretation of the structural variability of LRR-domains, combined with the apparent conservation of the N-terminal signalling domain, is that IRI-like genes might be under selective pressure for a continuous ORF from the signalling domain across the LRR-domain and into the IRI-domain, conserving the crucial function of apoplast export of IRI peptides.
The survey aimed at validating key events and interventions identified during the document review, identifying other relevant events, understanding the reaction of the management team to these events and interventions, and obtaining an interpretation of the observed variability in the hospital's production of care by key informants.
However, because this variability might influence the interpretation of core variability, the rs12979860 SNP was analysed.
Finally, comparing technological data with raw material provisioning strategies and elements of faunal exploitation, such as prey availability, provides insights concerning the interpretation of Mousterian variability and the investigation of changing patterns of Neandertal landscape use.
Furthermore, because of inconsistencies in the design and analysis of method evaluation studies, a high proportion of prognostic studies were presented with poor methodology which resulted in the presentation of conflicting interpretation of variability of the measures.
Since we use an iterative method to solve the regression problem, interpretation of variability in the ensemble can be further analyzed by looking at the solution trajectory for Lasso (ω vs. Lasso iteration; Figure 5C).
The most glaring indicator, that something must be wrong with the interpretation of D2D variability, in terms of a simple PSSR-to-ESF relationship, is the finding that the PSSR, measured over one location, cannot be used to reliably predict ESF occurrence over another nearby location (e.g., Tsunoda, 2005; Saito and Maruyama, 2007; Tsunoda et al. 2010).
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