Sentence examples for model extension to from inspiring English sources

We propose a model extension to describe a kind of exponential decay of stiffness which bears some similarity with a specific model developed by Yeoh.

A second approach based on model extension to the two-phase non-fluidized zone allowed evaluating the effect of substrate consumption by suspended biomass in the free-bioparticles zone.

This paper presents a model extension to dual-layer monolithic catalysts from a one-dimensional (1D) (Balakotaiah, 2008, Joshi et al., 2009) mathematical model used for single-layer monolithic catalysts.

A model extension to account for immunotherapy based on the CD20+ antibody Rituximab is also a work in progress.

The model extension to include estrogen-related effects on bone dynamics provided predictions of clinical changes occurring during the transition through menopause, during postmenopausal ERT, and in this highlighted case, during therapeutic intervention for endometriosis treatment.

For normally distributed traits, the linear model function lm is used, and this easily allows model extension to include interactions between the QTL and other fixed effects, such as sex-specific QTL effects: most other QTL analysis programs do not allow such extensions.

Aspects regarding model extensions to account for heat-losses and transient extinction/re-ignition processes are discussed.

This study analyses the importance of these new model extensions to correctly describe the nitrification behaviour and the carbon source competition between ordinary heterotrophic organisms (OHO) and polyphosphate accumulating organisms (PAO) under certain operation conditions.

Beyond further experimental validation, the need for model extensions to multiple logical states or even continuous representation of the variables using ordinary differential equation approach is evident.

A number of potential model extensions to account for dropout, tolerance development, and disease progression should be considered on a case-by-case basis.

The aim of this paper is to explore the use of Poisson regression, and the generalised mixed model extensions, to incorporate random effects to perform one- and two-stage IPD meta-analyses of time-to-event outcomes, as an alternative to hierarchical Cox models, and to extend the models to incorporate non-proportional hazards and treatment-effect modifiers.