Sentence examples for model case we from inspiring English sources

As a model case, we compared the chromatin architecture between the genetically active and inactive domains of the imprinted Prader Willi syndrome (PWS) locus in human fibroblast and lymphoblastoid cell nuclei by 3D fluorescence in situ hybridization and quantitative confocal laser scanning microscopy.

In the first model case, we assumed that the RC-MTOC-GA complex was polarized to the area of contact from the very beginning.

As a model case, we give examples of salinity stress-inducible unannotated transcripts encoding putative functional proteins.

As a second model case, we wanted to test whether expression of env1 would be sufficient for the up-regulation of tre39031 in darkness and if the effect of the mutation of env1 in env1PAS- (i.e. detectable transcript in darkness and decreased transcript levels in light; figure 1A) could be reversed by overexpression of env1 in constant darkness.

On the basis of the hydrochemical mass budgets of model cases, we demonstrate that Na-rich Cl-brines (45 48%) and a Na2SO4-brine (30 47%) are the dominant solute components.

For Bernoulli and first order Markov model cases, we have compared program SUFPREF with the implementation of program AHOPRO [ 31].

In the default modeling case, we assume square-plan layout (α = 1), as α is not readily estimated for cities in this data set.

In this section, we extend our joint cooperative relaying and jamming scheme in Section 3 to the stochastic CSI error model case, and we maximize the outage constrained secrecy rate.

In Section The Effect of the Choice of K on Fitting the N-Mixture Model: Poisson Case, we show how the choice of K in the N-mixture model interacts with the occurrence of infinite estimates of abundance, and how incorrect conclusions may arise.

Unlike previous scenarios, where the estimators of the scatter matrix have been derived by assuming the correct t-distributed data model (matched case) or the simpler, but different from the true one, Gaussian data model (mismatched case), we now focus on robust estimation, i.e., we aim at finding an estimator that does not assume any specific model for the data.

As a model test case, we simulated the unconstrained growth of a monograin in a cubic domain filled with liquid for three different grain sizes.