Sentence examples for faithfully define from inspiring English sources
Herein, we implemented and automated the method of simple thresholding to more faithfully define the tissue boundaries as depicted in the histology images [31].
This is noteworthy because the failure of most IBC cell-based xenografts to faithfully recapitulate the clinical features that define the disease is a significant limitation for identifying clinically relevant targets.
We first show that several existing semantical notions are faithfully captured by our definition, then proceed to define new ADF semantics and show that they are proper generalisations of existing argumentation semantics from the literature.
How to define the NP cell and how to faithfully mimic the NP microenvironment in vitro remain crucial questions to be resolved in the IVD field.
Three-dimensional rendering of the data shows that the masking procedure faithfully follows the cell boundary (Figure 1D, green) used to define the enclosed volume (Figure 1D, blue).
However it is also possible that the expression of these two genes more faithfully reflects tobacco consumption than the dichotomous variable used to define smoking.
(1) The molecular surface can be faithfully modeled by changing the radius of the probe sphere to define as the extended solvent-accessible surface, which is traced out by the probe sphere center as it rolls over the protein, of each atomic type.
Mouse transgenes bearing regulatory regions of Hox genes faithfully recapitulate their expression domains [ 6, 7], indicating that elements that define the domains of Hox gene expression are probably located in close proximity to the genes themselves, interspersed between coding regions within the conserved clusters.
One challenge for structural damage identification using active sensor network is how to appropriately define and extract feature components from raw signals, so as to faithfully describe the damage to be identified.
Therefore, we see the beta-mixture model framework of BMIQ as an important conceptual advantage over SQN/SWAN, since, as demonstrated here, it successfully normalises type2 probe values, faithfully preserving the numerous and complex biological differences that exist between the two designs without ever needing to define probe subsets.
