Sentence examples for quantification sensitivity of from inspiring English sources

There were consistent results when an Agilent 1100 LC-MS system was used to analyze the same mixtures, or when the quantification sensitivity of the HPLC-MS system in use was reduced by 90% (data not given); these results supported the robustness of this method.

Given the presence of certain acylcarnitines having values below the lower limits of quantification, sensitivity analyses of PCA were performed with and without metabolites in which >25% of metabolite values were below the limits of quantification.

The focus of our investigation thus centers on a quantification of the sensitivity of applications to the parameters of the LogGP model: network latency, software overhead, per-message and per-byte bandwidth.

The model allows rigorous estimation of important quantities, including the basic reproduction ratio of the disease (R0) and growth rate of the population, and permits quantification of the sensitivity of R0 and λ to model parameters.

In this paper, we propose a quantification of the sensitivity of neural responses to external stimuli.

Figure 2H shows quantification of the sensitivity of basal and FCCP-stimulated mitochondrial respiration rates to these inhibitors.

Scenario tree modelling allows explicit quantification of the sensitivity of AFP surveillance, and examines the impact of multiple factors on surveillance performance.

While the absolute sensitivity to fiber displacement may be underestimated for the mechanoreceptors recorded in this study, the above results do provide important quantification of the sensitivity of intercostal mechanoreceptors to changes in the functional displacement of the intercostal space.

Our focus on selective ionic current block facilitates the systematic comparison of the different models and allows the quantification of the sensitivity of the AP to the inhibition of specific ionic currents.

We also generated marginal effect plots with associated uncertainty intervals and relative contribution statistics (how often each covariate was selected during the model fitting process) as quantification of the sensitivity of the model to the different covariates.

(in the Methods) "We also generated marginal effect plots with associated uncertainty intervals and relative contribution statistics (how often each covariate was selected during the model fitting process) as quantification of the sensitivity of the model to the different covariates.