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Two different mechanisms were evaluated for the development of the model, a combined surface-diffusion controlled process and a surface confined process.
We elaborate a two-layer model for the Drosophila gap gene network and include in the model a combined set of transcription factor binding sites and concentration dependent regulatory interaction between gap genes hunchback and Kruppel.
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Importantly, the authors were not modeling a combined proportion value of both diseases as the response variable.
Modeling a combined variable (ACR) usually achieves better analysis efficiency than separately modeling each level.
The addition of two-way electrical coupling between the two models produces a combined model for the ventricle-Purkinje system.
Using multivariable analysis with stepwise removal we created three risk disease-specific risk prediction models and a combined model.
Within the 2−ΔΔCT data set, the best predictive model was a combined gene expression model of ANPEP and ABL1.
The approach employs a finite element fluid model and a combined finite-discrete element solid model.
The rigid-rotor, harmonic oscillator model exhibits a combined rotational-vibrational energy level satisfying EvJ = (v + 1/2)hν0 + BJ J + 1).
This study presents the evaluation of such a model using a combined experimental numerical approach.
The business model of a combined AT&T Time Warner is rife with conflicts of interest.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com