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To introduce and demonstrate a nonconvex optimization method for reconstructing velocity data from low-velocity-encoding (Venc ) phase-contrast MRI data.Solving for velocity values from phase-contrast MRI data was formulated as a nonconvex optimization problem.
The selected hazard-affected elements could be quantitatively assessed using remote sensing data by means of visual interpretation or automatic algorithm identification, and on this basis the index system for quantitative assessment of disaster physical damage using remote sensing data was formulated.
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As shown in Fig. 2, the first phase (Data Formulation) includes activities through which the required data were formulated.
The observed data is formulated as a biased sample of n i.i.d.i.d
LS-BICSA, generally applicable to a set of irregular data, is formulated by the pure bi-cubic spline functions.
A recursive stochastic matrix equation that characterizes the damage development using the true probability distributions and correlation properties of test data, is formulated.
This inverse mapping problem for estimating force-applied location by a few known strain data is formulated and analyzed for a square plate structure.
Then a block sparse model of the extended data is formulated without the influence of the unknown noncircularity phase, and a novel signal reconstruction algorithm based on nuclear norm minimization is proposed to recover the block-sparse matrix.
A model (or, source receptor relationship) that relates the source distribution to the concentration data is formulated, and Bayesian probability theory is used to derive the posterior probability density function of the source parameters.
Adsorption equilibrium data are formulated into an isotherm model.
To test whether adequate kinetic estimation could be obtained using IF corrected by fewer blood samples, three reduced sets of discrete blood sample data were formulated.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com