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Simulations produced by codes that explicitly limit numerical diffusion show a smaller amount of small-scale mixing than codes that do not.
All studies on urine samples comparing both AST and DST by disk diffusion show an overall agreement of over 90%% [ 4, 7, 11– 19] 19].
Moreover, computational models of intra-Golgi transport by diffusion show that tubules, even when very few and transient, are sufficient to mediate the observed fast rate of albumin transport through the stack.
Measurements on auxin diffusion show that the diffusion coefficient in the cytosol would be as high as 300 600 μm/s, while it would be around 15 times lower in the cell wall [ 66- 69], i.e. 20 40 μm/s.
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Mr. Libatique's furious, high-contrast diffusion shows more than mere technique.
Disk diffusion showed that E. coli, S. aureus and Y. enterocolitica were sensitive to the β-casein 197.
The rate of diffusion shows a clear dependence on solvent structure.
Scalar diffusion shows a more dominant peak in the reaction zone than in the preheat zone.
At the welding interface, the calculation of the quadratic distance of diffusion showed that a complete self-diffusion has not yet been reached.
Comparison on these distributions for experiments and simulated anomalous diffusion shows that H2B is in best agreement with simulated anomalous diffusion.
Disk diffusion showed that all isolates were resistant to cefotaxime and positive for ESBL production by disk confirmatory test using cefotaxime/clavulanate and ceftazidime/clavulanate (Table 1).
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