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Nanohardness was measured by a "Micron-Gamma" (NAU, Ukraine) nanohardness tester equipped with Berkovich indenter under 20 cN load conditions.
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In this study, chitosan was mixed with sodium tripolyphosphate (STPP) and 5-ALA to prepare chitosan nano-particles (CN) and 5-ALA loaded chitosan nano-particles (CNA) by adding different pH values and concentrations of 5-ALA solution.
The lowest 6-CN-PiB plaque load levels were in the tail of the hippocampus, internal capsule and lateral occipital cortex (Fig. 4).
At this brain level, the highest values for 6-CN-PiB plaque load were observed in the frontal and temporal cortices, and in the basal ganglia.
These biochemical results were supported by a strong correlation between histological 6-CN-PiB plaque load and 6E10 immunoreactive Aβ plaque load in the tissue cubes dissected from the formalin fixed hemisphere (r = 0.86; P < 0.0001; Supplementary Fig. 5B).
Histochemically assessed 6-CN-PiB plaque load was calculated as percent area, and biochemical [H]PiB binding and ELISA Aβ levels were calculated as picomoles per gram of tissue wet weight.
This information is used by the TG to load the CN with a traffic level according to that experienced in the RANs.
The aggregation models running in the TG would then be configured with these values in order to inject to the CN the appropriate traffic load.
There was a direct correlation (r = 0.81, P < 0.0001) of 6-CN-PiB fluorescent plaque load determined post-mortem with in vivo PiB retention (Figs 5 and 6A).
The TG then uses this information to generate the same traffic load in the CN by injecting packets through the edge routers.
The exact gauge length was determined for each fibre to an accuracy of 0.01 mm at a tensile load of 5 cN.
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