The reason for deviation of experimentally derived models from literature models is systematically studied and rationalized.
Models are systematically classified according to the methodology of approach employed by the main research groups in the field.
The models are systematically designed to simulate the collapse of non-homogeneous granular slopes by focusing on the spatial and temporal distribution of their internal deformation.
Moreover, the influences of material constants, material compressibility and external deformations on the elastic wave propagation and refraction in these hyperelastic models are systematically studied.
This paper proposes the design and an implementation of a tracking scheme with a combination of the ACM and the active shape model (ASM), in which the point distribution models are systematically constructed on the projective point of view.
The structural and morphological features of two atomistic models were systematically analyzed in terms of pore size distribution (PSD), X-ray diffraction (XRD), atomic relative concentration, partial radial distribution (RDF), ring distribution, pore surface smoothness, etc.
The behavior of L and M models tends to be similar when increasing the first generation index, while the S models are systematically the fastest.
*Logistic regression models were systematically adjusted on sex and age.
Linear models were systematically checked for outliers and homogeneity (variance) of residuals.
The PPO gene models are systematically named as StuPPO1 to StuPPO9 (S olanum tu berosum polyphenol oxidase 1 to 9).
