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When appropriate, Chi-square and Mann-Whitney U analyses determined group differences.
Receiver operating characteristic analyses determined the level of STarT Back change needed for clinically meaningful improvement.
The laboratory analyses determined the average makeup of the sampled fuels consisted of 20% fossil based carbon and 80% biogenic.
The subsequent parametric modeling analyses determined how individual overpotentials were related to the geometric and operational parameters.
The regression analyses determined that the prediction patterns for undergraduate and graduate GPA were different, which is not surprising given the differing natures of undergraduate and graduate studies.
Analyses determined that the intraclass correlation coefficients (ICCs) for the frequency component varied between 0.86 and 0.97 for each of the seven BEHAVE-AD categories (ps < 0.001).
Additional analyses determined the detail of field data collection necessary to produce consistent results using the fuzzy similarity index assessment method.
Statistical analyses determined that the tuning parameters impacting the signal-to-noise ratio were cone, capillary, extractor, radio frequency (RF) lens voltages and high mass resolution (HM Res1).
Enrichment analyses determined that these genes are predominantly involved in the dopaminergic and serotonergic pathways, the voltage-gated calcium ion channel gene network, folate metabolism, regulation of the hippo signaling pathway, and the regulation of gene silencing and expression.
In the meanwhile, the creep mechanism of UHPC was discussed based on the mesoscopic and microscopic analyses determined by X-ray computer tomography (CT) and scanning electron microscope (SEM) techniques.
Atom probe tomography (APT) and high-resolution transmission electron microscopy (HRTEM) analyses determined that the alloy undergoes simultaneous precipitation of Cr-rich (α′ phase) and nanoscale precipitation of TiAl-rich intermetallic particles (β′ phase).
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