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As previously mentioned, one of the most fundamental principles behind this formulation is based on the observation that cisplatin cores significantly enhanced the loading of RAPA into PLGA NPs.
This formulation is based on the discretized diffusion equation of heat transfer through the soil column.
This formulation is based on the Delaunay tessellation of space into tetrahedra.
This formulation is based on a new and more suitable definition of the impulse response function matrix for such systems.
This formulation is based on Yang and Ramanan [27], who detect articulated poses in images using a flexible mixture-of-parts model.
This formulation is based on an adaptive procedure that progressively modifies the spectral mesh at the large scales, forcing a resolution requirement set by the user.
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The name of this method stems from the fact that the formulation is based on the first and second moments of the random variables.
This difference formulation is based on exactly the same equations and parameters as the ABM.
This linear programming formulation is based on the widely used discrete-time formulation with "pulse" end variables for the RCPSP, see Artigues et al.
This robust optimization formulation is based on a min max framework and when applied to mixed-integer linear programming (MILP) problems, produces "robust" solutions that are immune against data uncertainty.
This method is well suited for the purpose of this study because its formulation is based on the rigid body model of the crank-slider mechanism.
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