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This may be due to disparity between predicted levels of radiosensitization based on physical action, observed biological response and an incomplete mechanistic understanding, alongside current experimental limitations.
A direct comparison between predicted levels of liver loss for Entolimod and levels of liver loss that lead to clinically significant symptoms of liver dysfunction was conducted using published data.
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There is a good quantitative agreement between the predicted levels of uncertainty and the observed variability of the eigenfrequencies and damping ratios between the different setups.
By mapping perfusion rates with necrosis probability, we generated a color-coded necrosis map to display the spatial distribution of necrosis probability on POD 7. Comparisons between the predicted levels of necrosis to the actual necrosis levels in ischemic limbs verified the feasibility and accuracy of the necrosis map.
This may be due to the aggregation of nanoparticles in the blood, their adsorption to the endothelial walls, and subsequent release resulting in differences between the experimental and predicted levels of nanoparticles in the blood.
These results explain the discrepancies between the observed and theoretically predicted levels of applied loading required for chaotic motion.
These findings are consistent with predicted levels of FRET between these points estimated from cryo EM maps localizing the N-terminus, amino acid 423 and amino acid 1903 [3], [22], [27], positions roughly analogous to the locations of GFP (amino acid position 1, 618) and the His10 tag (position 1861) in the present study.
A comparison between these target values and the true predicted levels of dissipation is thus used to investigate the performance of the artificial bulk viscosity.
Similarly, Licata et al. (2016) found that high levels of emotional connectedness between mothers and infants at 7 months predicted levels of theory of mind at 4 years of age.
The program uses inter-connectivity between vehicles and city infrastructure to analyze current and predicted levels of traffic, helping to regulate traffic and prevent traffic jams.
This comparison suggests that learning is an important consideration when explaining differences between predicted and observed levels of tax compliance.
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