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The output of the Bayesian runs was interpreted via a heuristic approach and following the ΔK approach [28].
The expression of HMGB1 was interpreted via immunoreactivity using the 0-4 semi-quantitative system derived from Soumaoro [ 38] for both the intensity of staining and the percentage of positive cells (labeling frequency percentage).
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The results were interpreted via statistical data analysis.
Results were interpreted via modeling approaches using resistance-in-series as well as combined pore-blockage and cake filtration.
The experimental results are interpreted via Fractional Brownian Motion theory and analyzed by the principles of chemical equilibria.
The effects of Mg, Si and Cu content on natural aging kinetics are interpreted via their influence on the Sn solubility and clustering mechanisms.
For designing environmentally friendly ionic liquids (ILs), their structural effects on the toxicity should be interpreted via modelling based on the quantitative-structure-activity-relationship (QSAR) concept.
They may be interpreted, via the introduction of an effective linear susceptibility23, as the time-dependent, linear absorption of the probe beam by the non-stationary states impulsively produced by the pump pulse in S0 and S1.
The results were interpreted via the random intercrystalline bridge model, which suggests that at 10 1, there is good interlamellar contact but very few intercrystalline bridges.
Subsequently, SAXS data obtained from bulk quantities of the alloy is interpreted via a novel Monte Carlo method to obtain accurate, form-free size distributions.
The estimated thickness of the compositionally stratified layer (∼300 km) cannot be interpreted via a straightforward process.
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