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The required characterization pathways for bone TE are then described, and the most suitable characterization methods are presented, focusing on the evaluation of the different features of the scaffolds.
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Moreover, here we point out that the bipartite representation is the most natural and suitable characterization of the dataset, since the null model behind such representation of the data is definitely more correct.
However, the role of these markers in breast cancer progression is not clearly defined and, above in TNBC phenotype, the most suitable for the characterization of the niches of tumor stem cells have not been determined.
Because lipophilicity is given by the relative levels of accumulation in the hydrocarbon core of the bilayer and in bulk water, the core/water partition coefficient is the most suitable parameter for characterization of lipophilicity in the context of bilayer transport and accumulation.
Given the rich lipid character of serum, lipidomic methods including lipid mediator profiling, DFI MS/MS and general lipidomics methods such as TLC/GC-FID-MS appear to be the most suitable methods for serum characterization – both in terms of their breadth of coverage and their amenability to quantification.
However, since up to 10% of mice from the best performing strains can fail, these tests may be most suitable for general strain characterization, while they somewhat more cautiously supply the sighted vs. blind status for each individual mouse [ 9].
AFM cantilevers with medium k ~ 3 N/m and amplitudes around A 0 ~ 50 nm were identified as the most suitable for protein-diamond characterizations, in particular in solution.
The results of characterizations demonstrated that the most suitable orientation of the HDTMA adsorption on the zeolite surface is the formation of a hydrophobic organic monolayer.
From the systems diagram, we were able to select the formulations most suitable for the incorporation of KA, for which physicochemical characterization and KA permeation performance would be tested.
One of the most common obstacles faced by engineers when making numerical models to assess damage in historical masonry lies in defining the most suitable constitutive models when there is shortage of either material characterization or experimental data.
When using lignocellulose-derived sugars as raw materials, S. cerevisiae is probably one of the most suitable candidate host due to its fermentation capacity, robustness and extensive characterization (Olsson and Hahn-Hägerdal 1993; Ostergaard et al. 2000).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com