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Margrave (1998) proposed the Fourier mixed-domain formulation of a non-stationary convolution model when studying the time-variant deconvolution in the frequency domain.
In addition, the fault and sedimentary relationships defined here may be used as a model when studying less data-rich rift basins elsewhere.
Thus, the single follicle thyroid model, maybe supplied with one surrounding follicle layer, is a simple and realistic model when studying radionuclide emitting particles with ranges up to that of alpha particles, while more follicle layers are needed for particles with longer range.
Birds are a useful model when studying how predation risk affects behaviour, as vigilance can easily be distinguished from other activities [2].
Consistent with these results, our findings have implications on the use of mouse as a model when studying the biology of human, reminding that we should be more cautious of applying the functional data from mouse because the same biological processes in different organisms may be carried out by a group of different genes.
Including socioeconomic position as a covariate in the model when studying the health effects of ERI may thus lead to an over-adjustment.
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That is, 'level' is defined as a domain higher than 'scale', which can be described more or less by an explicit model when studied from its upper level; while 'scale' is used to describe the structural organization within a level.
These results suggest that variables, such as sleep problems and psychiatric distress, may confound the association between wrist pain threshold and CRP, emphasizing the need for multivariable models when studying complex outcomes such as pain.
On RNA level, Tnf was also identified as important marker in the discriminant vector indicating a strong contribution in the multivariate separation model; however, when studying all pairwise gene models, measurements of Ccl7, Il1b, and Il18 were most significant for differentiation between skin rejection and skin inflammation on POD 5 on mRNA level.
In other words, reliability engineers often face data with deviations from the assumed model especially when studying failure data.
3D simulation of large statistical sample of microscopically different devices is required for statistical compact model extraction when studying the impact of variability in next CMOS technology generations on circuit and system design.
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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