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A tiny biotech called Aurora Biosciences took Beall up on his offer and tried to create a drug based on the CF gene.
Since our main goal is to investigate the numerical results predicted by the fractional model based on the CF derivative we firstly start to investigate the existence and uniqueness of the solutions.
Quantification of the regurgitations was based on the CF jet and size and function of the adjacent chambers.
Because the phloem sieve tubes are symplasmically isolated from surrounding cells based on the CF transport studies, it suggests that sucrose must be effluxed across the sieve element/companion cell plasma membrane.
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Based on the established CF, their activities were computed over time.
Based on the literature (cf. [19, 20]), the diffusion of contaminations (release agent molecules) inside the resin can be justified by the second Fick's law.
This implies that any point in the 2−D set, D, is mapped to a 1���dimensional integer set [0,…,22g −1] using the Hilbert transformation function F HSK =f(d) based on the HSK (cf. "Preliminaries" section).
The activities in the four bags were determined as the mean activity in bag ROIs based on the two CFs and compared to the known ground truth values.
The implementation is based on the CBMIMO1 hardware (cf. Section 2.1) and is thus restricted to two antennas.
We use the EQ3/6 geochemical code[7] and the Yucca Mountain Project high-temperature Pitzer model.[8] This model is based on the Pitzer equations (cf. Ref. [9]) to account for the non-ideal behavior of the brine solutions.
Some of the presented Bayesian descriptions are already given in the original papers and others can be easily derived based on the original papers (cf. Subsections 4.3, 4.4, 4.6, and 6.9).
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