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This resulted in 94.2% removal of NH3 N as obtained from the predicted model, which fitted well with the laboratory results (i.e., 92%).
In addition, data were analysed using a modified 2TCM model which fitted parameters K 1/k 2, k 2, k 3 and k 4 of the model to several TACs simultaneously in a way that the parameter K 1/k 2 was shared between regions.
Alternatively, we computed residuals for every patient in a model which fitted to a dataset where that patient was omitted.
Spatial simulations were used to identify the expansion model which fitted best to the patterns of molecular diversity observed in extant M. murinus populations.
The model, which fitted best the data, used a spatial power correlation structure for the short-term environmental effect and a first order autoregressive process for the long-term environmental effect.
We hypothesised nine potential heterochrony groupings among the 15 remaining traits, and also fitted a 'null' age model which did not include any age term and a model which fitted a single age function to all traits ('total synchrony').
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We derive the model which fits the signals generated out of the image upon a circular antenna.
The model which fit the kinetic data the best was derived from the Boreskov associative reaction mechanism.
This model, which fits the data extremely well, also explains the presence of atomic carbon on the surface of the catalyst.
A comprehensive model, which fits the experimental data, combining an Organic Matter Transport Dynamic Model with a Two-Compartment First-order Rate Constant (TFRC) Model has been established to quantify the organic compounds concentrations.
The algorithm is an Occam style inversion (Constable et al. 1987), seeking to find the model which fits the data to a desired level whilst introducing the least amount of structure in this case in both temporal and spatial domains.
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CEO of Professional Science Editing for Scientists @ prosciediting.com