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Although magnetic resonance imaging (MRI) is considered to be a useful technique for local staging, grading and characterization of STT [5, 6], previous studies regarding the value of MRI in characterization and grading have primarily focused on the accuracy based on the analysis of different parameters in one single institution with large expertise in the subject [5, 7, 8, 9].
Since we could establish that average filament lengths are sensitive to several parameters, some of which should be different between cells on planar surfaces and those on micro-structured ones, tweaking these parameters in one of the two settings can make the difference between their simulations larger or smaller.
This study highlighted the hepatotoxicity of AlCl3 through biochemical and histological parameters in one hand and the hepatoprotective role of fenugreek seeds on the other hand.
Unit operations within a process are often strongly interlinked so that variation of process parameters in one unit operation can impact the overall process efficiency through indirect effects on other unit operations.
Therefore, if we plot our data sets for different parameters in one figure using axes V/ V0 and μ/μ0, they should all collapse on a single master curve.
In this paper, we provide a theoretical explanation of these empirical findings by developing closed form solutions for the field and the inverted electromagnetic property parameters in one dimension which reveal the dependency of the estimated permittivity and conductivity on the absolute (unwrapped) phase of the measured signal at the receivers relative to the source transmission.
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At the same time, the roughness, one of the key parameters in one-dimensional open channel, is also considered as a state variable to identify its value dynamically.
The cost-effectiveness results appear robust when investigating different sensitivity scenarios, such as varying the time frame of the analysis or altering certain parameters in one-way sensitivity analyses.
The use of seizure freedom as a primary outcome parameter follows current ILAE recommendations and has been successfully applied as primary outcome parameter in one veterinary study focusing on new onset epilepsy (outcome described as percentage seizure freedom, short term) [ 70].
In this paper we use the derivative sampling theorem 'Hermite interpolations' to compute approximate values of the eigenvalues of Dirac systems with eigenvalue parameter in one or two boundary conditions.
In the present paper we apply a sinc-Gaussian technique to compute approximate values of the eigenvalues of discontinuous Dirac systems, which contain an eigenvalue parameter in one boundary condition, with transmission conditions at the point of discontinuity.
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