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Figure 4 Typical fiber dynamics.
FIDYST is a software tool for fiber dynamics simulations, developed by the Fraunhofer ITWM, Germany.
Our findings indicate that CLP36 and RIL have a redundant role in the formation of stress fibers, but have different effects on stress fiber dynamics in F2408 cells.
More precisely, the description of the fiber dynamics in turbulent air flows has been realized by a stochastic generalized string model that has been deduced from a special Cosserat rod under Kirchhoff constraint, consult [2, 3] for its derivation.
For this reason, a class of stochastic surrogate models has been proposed in order to compute only the image of the deposited fiber web, instead of describing the full fiber dynamics that lead to this web.
This contribution provides a general framework to use Lagrange multipliers for the simulation of low Reynolds number fiber dynamics based on Bead Models (BM).
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To test how kinetochore-fiber dynamics modulate spindle shape, we generated long spindles without disrupting kinetochore-fibers by depleting the microtubule depolymerase Kif18a.
Our data indicate that kinetochore-fiber dynamics, as well as polar ejection forces, play a determining role in setting correct spindle shape.
In addition we found the ability to observe fiber polymerization dynamics leads to intriguing new insights into collagen assembly behavior.
For this reason, we used the two-variable Mitchell-Shaeffer model [ 23] to represent both cardiac muscle cell and Purkinje fiber cell dynamics.
Rather, stress fiber deformation whose dynamics are governed by the balance between prestress and material viscosity constitutes the likely mechanism for this transmission.
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