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We present a dynamical model of local dust charging.
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To answer these questions, we present a dynamical model for the G2/M transition of mammalian cells.
Here, we have presented a dynamical model for ERBB receptor signaling that captures site-specific mechanistic details and demonstrated that the model can be visualized, annotated, and simulated.
First, a dynamical model of the hexrotor is presented.
The report presents a motor designed based on the classical inchworm principle and a dynamical model of the motor.
A dynamical model of an atmospheric, bubbling, fluidized bed combustor of biomass is presented.
On the other hand, model-based methods focus on identifying a dynamical model of the system.
These uses include parameter inference for dynamical models of metabolic pathways using steady state measurements [ 33], for a dynamical model of gene regulation where time series measurements were used [ 34], or stochastic models of gene expression in single cells [ 32].
Here we present a simple, dynamical model of a hierarchical, three-level ecological system.
We present a stochastic dynamical model of cell renewal of epithelial tissue (colonic crypts) which explicitly includes asymmetric indefinite divisions of stem cells and symmetric, finite divisions of daughter cells.
The paper presents an idealised dynamical model of day-to-day or within-day re-routeing using splitting rates at nodes, or node-exit flows, rather than route-flows.
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