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LRBFDQ method combines the good features of differential quadrature (DQ) approximation of derivatives and mesh-free nature of the radial basis functions (RBFs) in a local region.
Features of differential topology are extracted by tracking the topological change in cross-sectional contours with respect to the height.
Figure 6 shows another example where the features of differential topology are extracted from time-varying volume data.
For example, it is preferable to extract some coherent relationships between temperature and pressure in some space when we try to extract features of differential topology from data samples of a multivariate function R 3 → R 2 in this case.
In this article, we present approaches for extracting features of differential topology from discrete samples of a function R n → R m, including existing and new algorithms together with their application examples.
In this way, especially for functions R 2 → R and R 3 → R, extracting features of differential topology can be accomplished by composing a proximity graph over the discrete samples first and then constructing a tree that represents the splitting and merging of the inverse images according to the function value changes.
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The adaptive evaluation index S id (r) deduced by the statistical feature of differential entropy h(x) is used to judge the uncertainty of the recovered signal.
However, given the low number of genes in this class and the frequently transient nature of their differential regulation, this does not seem to be a general feature of differential cytokinin activity in roots and shoots.
A clear distinguishing feature of differential gene expression in the test plant in response to the NaCl treatment was the overexpression of the genes encoding proteins performing various physiological functions related to adaptation of plants to saline and/or drought conditions (Table 3).
The name 'geometric integration' is utilized to a series of numerical approaches that aim to preserve the qualitative and geometrical features of a differential equation when it is discretized [23 25].
The main concept behind the definition of the Relative Contrast Gain is a quantification of the increase in feature contrast of differential phase contrast compared to attenuation projections.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com