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Similar to the basic problem formulation, we can formulate the multiple ontology integration as follows.

With the node-arc formulation, we can directly solve small DNDR instances using mixed integer programming solver.

Fitting the test data with the formulation, we can obtain the two parameters for each elastic modulus distribution function.

By using a multi-dimensional gas kinetic formulation, we can obtain a spatial and temporal dependent gas distribution function for the flux integration inside the cell and at the cell interface, which is distinguishable from the Gaussian Quadrature point flux evaluation in the traditional DG method.

By looking at the Classical Formulation, we can see how different stances might emerge.

As our formulation is similar to the autocorrelation formulation, we can fairly expect the same behavior (though we don't have a theoretical proof).

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With the absence of plasma Cremophor EL exposure in oral paclitaxel formulations, we can circumvent the use of antiallergic medications (Meerum Terwogt et al, 1998).

What's beautiful about these articulations is that they are an attempt to bring a consideration that reason had brought us to into a formulation that we can make use of intuitively.

Following the formulation in (7), we can also compute the average number of ACK messages to be transmitted, as expressed in (8).

(Sketch)   The shortest formulation might be: We can simply apply [51, Theorem 2.18] to the tuple (big (mathcal{M}({{mathbb R}^{N}}), {d_mathcal{M}}, |,cdot, |({{mathbb R}^{N}}) big )).

Given the CSP formulation from above, we can enumerate all valid ITS candidates.

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