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Our extensions to prior techniques include the capability to work with large models and significantly improved run-time performance even for smaller models, an improved analysis of enzyme complex formation, the ability to handle large enzyme complex rules that may incorporate multiple isoforms, and either maintained or significantly improved correlation with experimentally measured fluxes.
Cascading these models, an improved model was formed.
The main factors for the achieved enhanced performance are: the accurate modelling of the surface actuator via linear parameter-varying (LPV) models, an improved oscillation detection by employing the recursive discrete Fourier transform, and the integrated tuning of the free parameters of the FDD system using multi-objective optimization techniques.
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Then, using this model, an improved FE model was proposed and nonlinear cyclic analyses were undertaken on it and on previous models in order to compare its global response and yielding performance with those of ring and half-ring models.
Based on the model, an improved link quality simulation algorithm is developed.
Engineers will find the modified model an improved and useful tool for prediction of steam flood production performance.
To predict TF regulatory targets, we applied a previously developed computational model of transcription factor binding site (TFBS) enrichment [ 22] with several extended features, including more TF binding models and an improved phylogenetic model for TFBS conservation.
The model incorporates an improved Resistive Force Theory (RFT) model and a failure-based model.
The proposed model shows an improved performance compared with existing models reported in the literature.
This model provides an improved version of the empirical model proposed by Doumouya et al. (2003).
We introduce a new ocean circulation model featuring an improved vertical coordinate representation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com