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To analyze the discrepancy between groups further, we also demonstrated the non-metric multi-dimensional scaling (NMDS) plot, the principle component analysis (PCA) plot and the principle co-ordinates analysis (PCoA) plots in Fig. 6.
The aim of our study is to attempt to analyze the discrepancy between positive effects of prone position ventilation on oxygenation index in ARF and the comparatively high mortality rates despite of this intervention.
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The purpose of this study was (1) to describe errors in the interpretation of high-resolution ultrasonography (HR-US) images of the temporomandibular joint (TMJ) and analyze the discrepancies between HR-US imaging and diagnostic magnetic resonance imaging findings, and (2) to measure interobserver and intraobserver variations with respect to reporting HR-US images of the TMJ.
The hourly indoor air temperature measurements were used to analyze the discrepancies between simulated and actual building energy performance.
Specifically, through the use of CFD post-processing, referring to the validated rotor B results, it was possible to analyze the discrepancies between both numerical models.
T test was used to analyze the discrepancies between wild and captive samples for both indices of Alpha and Beta diversity.
We measured and analyzed the discrepancy between the thermocouple and a radiation thermometer for the plasma CVD of carbon nanomaterials under sample bias.
Finally, when analyzing the discrepancies between the CBM results and the GHGIs, it should be noted that the frequent update cycle and recalculations of GHGIs can only be reflected in the model results if national statistics on harvest and disturbance rates are readily available for the model analyses.
First, for an arbitrary given quantizer, we analyze the maximum discrepancy between outputs of both the discrete-valued input n-D system connected with the quantizer and its corresponding continuous-valued input one.
Given the considerations mentioned above, in this section we further analyze the similarities and discrepancies between the murine and human gut microbiota composition, as well as their respective responses upon dietary interventions.
In their letter to the editors of the Biophysics Journal in 1994 [ 51], Frank Darius and Raul Rojas analyze the difficulties arising from the discrepancy between the very high dimension of the parameter space in modern machine learning approaches and scarce data when exemplarily criticizing an alternative signalpeptide predictor.
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