Sentence examples for concentration predictions from inspiring English sources

The individual post-hoc concentration predictions obtained from NONMEM were used to predict the time course of linezolid plasma concentrations and to calculate the area under the concentration time curve over 24 h (AUC24 -values.

The moderately high correlations between OP model predictions and PM2.5 mass concentration predictions suggest some potential to evaluate whether OP predicts health effect better than the regulated metric PM2.5.

In addition, in Figure  7 the results of the so called "visual predictive check (VPC)" are displayed, as the prediction of the median concentration predictions of the model (black line), and the 90% prediction intervals (grey area).

Since we have a one-time observed serum concentration (t = 2005 or 2006), ϕ i is simply multiplied by prior predicted serum concentrations (Cpred, i, t ) to make new calibrated serum concentration predictions.

For PAHs with ≥5 rings and higher log Kow, predicted concentrations in water were low, and the assumed absorption efficiencies gave concentration predictions in fish that were within a factor of 5 of observations.

Concentration predictions of the are consistent with the laboratory simulations and field observations.

A boron concentration prediction model, accurately predict boron concentration in the reactor coolant system, including the chemical and volume control system (CVCS) following boration or dilution, was developed in order to enhance the boron concentration control during load follow operation.

A visual predictive check (VPC), 36 a modelling tool that estimates the concentration prediction intervals and graphically superimposes these intervals on observed concentrations after a standardised dose, was used to evaluate how well the model predicted the distribution of observed dexmedetomidine concentrations.

A visual predictive check (VPC) [ 29], a modeling tool that estimates the concentration prediction intervals and graphically superimposes these intervals on observed concentrations after a standardized dose, was used to evaluate how well the model predicted the distribution of observed plasma concentrations.

The sensor array for gas concentration prediction is developed using Artificial Neural Networks (Back Propagation).

The numerical results reveal that the particle-wall impact model has a considerable effect on the Lagrangian concentration prediction.