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In this study, we have shown that a first approximation of the plasma sheet pressure and temperature can be obtained from a physical model of the magnetotail and using an empirical model of the cross polar cap potential of Morley et al. [ 2007] that is dependent on solar wind power input, assuming a constant area of the magnetotail.

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The IRF is a theoretic tissue curve that is obtained from the direct arterial input, assuming that the concentration of contrast material in the tissue is linearly dependent on the input arterial concentration when the blood flow (BF) is constant.

We applied the linear inversion algorithm of Michael (1984 , 1987 using focal mechanism data as input and assuming a random stress tensor derived by a least square method.

Additionally, an input's marginal product is the extra output that can be produced by using one more unit of the input, assuming that the quantities of no other inputs to production change.

The gradient domain method is basically matching the gradients with priors, and the first step is to generate a targeting gradient image from the input or assume a gradient profile that meets the given purposes or specifications [6, 9].

A simplified kinetic method (SKM) is advocated [ 96], assuming a uniform input function, based on fitting the input function of control patients with a triexponential decay function.

The PGHMM can easily be transformed to a single species alternative exon predictor by assuming a single input sequence and single node phylogenetic tree.

Over the course of the first 24 hours, a mean 52% (standard deviation 13%) decrease in GFR was required to account for the lack of reduction in plasma creatinine taking into account fluid input and urine output and assuming a loss of creatinine production the same as the median loss for the Crdecrease cohort.

Previous studies have modeled teriflunomide pharmacokinetics following leflunomide administration using one-compartment models assuming a first-order input of teriflunomide.

Instead, it could become efficient by reducing its input while keeping its outputs the same, i.e. assuming an input-orientated scenario.

Assuming an input set of motion images {B 1, B 2, …, B t }, this filter operates in a similar fashion to a two-dimensional kernel density estimator: For every white pixel in every image, a two-dimensional Gaussian kernel is placed (centred) over the pixel and its surrounding neighbours.

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