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Based on Rayleigh clutter distribution model, a cell greatest, smallest and averaging constant false-alarm rate target detection algorithm named CGSA-CFAR was proposed to maintain higher detection rate and lower false-alarm rate by adjusting power detection threshold in time based on the noise power level, which was estimated according to the proposed target detection algorithm.
This represents a clear prediction of the model: a cell that need to process signals from the environment must locate its nucleus no more than about 3.5 microns from the region of the CM that harbors the relevant receptors.
In our model, a cell divides with a constant probability μ at each MCS.
According to the veto model, a cell tumbles whenever any one flagellum rotates CW.
In essence, they model a cell that is stuck indefinitely in the G1 phase of the cell cycle.
Under this model a cell with a single karyomastigont goes through nuclear and mastigont division and is prepared for cell division.
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To solve this model, a cell-centered finite volume method for hyperbolic conservation laws coupled with a self-adaptive method of successive averages for an arisen discrete fixed point problem is adopted.
The workflow is applied to the contact inhibition model, a cell-based model of vascular morphogenesis.
But what if one is modeling a cell population heterogeneous for a mutation?
The task explores the meaning of modeling a cell membrane as a capacitor.
Two different in vitro models, a cell line based model as well as a primary RA cell model were used to investigate anti-inflammatory activity.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com