Sentence examples for modelling previously reported from inspiring English sources

Compared to this simple, single parameter modelling previously reported of human DNA [ 14], at least one further mutation and better optimized C→T,G mutation rate and κ (transition / transversion) ratio was required to reproduce the steeper positive (CpG) and negative (TpA) gradients between dinucleotide representation and G+C content.

The present communication reports a short history on the pseudo second order kinetic models previously reported for sorption systems.

The results agree remarkably well with the predictions of a theoretical model previously reported by our group.

An analytical model previously reported and evaluated in studies of the adhesive strength of thin films was employed.

In addition, our best model was compared with a model previously reported in the literature, and proved to be superior.

However, the FEA models previously reported were simplified and far from representing what occurs in clinical situations.

Our simulations used realistic, fiber-included heart models consisting of up to 18,000 nodes, much finer than any inverse models previously reported.

This growth model for the helical microstructures is compared in the manuscript with models previously reported for coiled carbon fibres grown in the gas phase.

Besides, the present experimental and theoretical results were compared with predictions obtained from adapted versions of approximate bubble formation models previously reported in the literature.

Focus is placed on presenting numerical analyses describing the capability of a BHE model, previously reported, to simulate three-dimensional heat transfer processes in multiple borehole heat exchangers embedded in a multi-layer soil mass, in a computationally efficient manner.

The present model (mps=14.21O0−13.42O2−1.1), which has only two variables, compares very favorably in terms of complexity with other models previously reported by Kalate et al. these authors used a non-linear artificial neural network and a large parameter space [R.N. Kalate, S.S. Tambe, B.D. Kulkarni, Comput Biol Chem 27 (2003) 555 564. [82]].