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It has been shown that typical arthroscopic findings or clinical symptoms are associated with disease specific radiographic changes in the course of OCD and osteoarthritis (OA) [ 4, 5].
It has also been shown that typical network measures such as modularity and average path length have a good predictive power when it comes to clustering metabolic networks into phylogenetic groups [ 12].
Also, it has been shown that typical and presumably myofibroblastic stroma of breast carcinomas frequently share the same loss of heterozygosity, with the epithelial neoplasia indicating a common cellular origin [ 13, 14, 55].
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It is shown that typical structural non-linearities such as non-linear damping and stiffness can be detected and identified directly without the need to generate explicit models.
It was shown that typical adsorption capacities for activated carbon and silica adsorbent in liquid phase under different conditions are in the range of 12 230 mg · g−1 for benzene [53, 54].
It is shown that typical numerical solutions obtainable in an industrial context are likely to be strongly dependent not only on the turbulence model but also, and often more importantly, on mesh design and the numerical method.
It was shown that typical adsorption capacities toward benzene of organo-minerals are 1.257 mg g−1 for natural clays, 27 and 28 mg g−1 for natural zeolites and montmorillonites, 40 and 365 mg g−1 for activated carbon from natural material [64 66].
It has been shown that this typical fast sodium current may be altered during pathological conditions such as hypoxia, exposure to ischemic metabolites and reactive oxygen species.
It has been shown that for the typical industrial systems the optimum current density jopt ∼ 670 A m−2 as the cost of $65 per ton of copper produced.
It has been shown that in a typical room setting the channel bandwidth of an MSD system is in excess of 2 GHz, which is in stark contrast to the tens of MHz available in diffuse systems [116].
To sum up, it has been shown that PL spectra of typical Si NC ensembles show a relatively strong dependence on the excitation fluence.
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CEO of Professional Science Editing for Scientists @ prosciediting.com