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Much effort has been devoted in the last decade to model this material.
An established large deformation, rate-dependent constitutive equation has been developed to model this material, by incorporating the pre-orientation by the addition of a strained Gaussian network.
The structural and electronic properties of bulk graphite were compared using density functional theory calculations with the local density (LDA) and generalized gradient (GGA) approximations to determine the relative ability of each to model this material.
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The observed material behavior is discussed in terms of a rigid sphere model of the defect structure produced by lanthanum doping and the limitations of modeling this material behavior as a second-order phase transition are discussed.
The constitutive model for this material was calibrated from compression and tensile tests, performed at various strain rates and temperatures.
Microstructure of the fibers along with results from the mechanical tests, are used to calibrate a micromechanical model for this material system.
The tested non-linear shear stress strain responses compare favorably to results previously obtained from off-axis compression tests used to calibrate a multi-axial constitutive model for this material.
The following grouping variables have previously been shown to be associated with case fatality in a univariate model in this material: obesity, smoking, alcohol abuse, and high SOFA score (≥4)[15].
The model for this material is built as shown in Figure 4 a, with 50%% of the material undergoing the de-intercalation process to form IPC-4 connections and 50%% undergoing the rearrangement to form IPC-2 connections.
Finally, we made sensitivity analyses, with changing assumptions within the model; this additional material is presented in an online Technical Appendix (available from www.cdc.gov/EID/content/13/11/zzz-Techapp.pdf www.cdc.gov/EID/content/13/11/zzz-Techapp.pdf
A few participants in a workshop on health behavior models found this material more difficult to understand and suggested that the language level should sometimes be adjusted to avoid overly technical terminology.
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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