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The result of our experiments indicates that the near-solidus melt is iron-rich komatiite.
Comparison with several published experiments indicates that the criterion also may be applicable to small mass impacts.
A significant difference in speedup between experiments indicates that a technique is sensitive to this particular variation.
This set of experiments indicates that the NT-R in these tissues are of the type 1 subtype.
The prevalence of low-level function in four such experiments indicates that roughly one in 1064 signature-consistent sequences forms a working domain.
The slight decrease of the mean particle size of the AgNPs in almost all experiments indicates size selective filtration processes and enables the exclusion of homoaggregation processes.
A corresponding response surface analysis of the results from these experiments indicates a significant dependence of burning rate on both ingredients and processing conditions.
The overall performance of the fingerprints in machine learning experiments indicates that structured-based models of reasonable quality can be obtained.
Comparison with experiments indicates that the implemented computational approach can successfully capture the major characteristics of the reactor's thermal field, especially when increasing air inlet temperatures.
Structure analysis via electron diffraction (ED) experiments indicates that no change of growth planes has been found during this regime transition.
SEM analysis of surface morphology of the anodes after discharge experiments indicates that for all alloys the discharge capacity results mostly from the oxidation of the aluminium.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com