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Figure 2 shows a flow diagram of the generalized steps in our analysis pipeline; a full description of each step as it was implemented by the authors can be found in "Methods".
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Numerical dissipation, phase dispersion and high-frequency damping of this "direct time" two-step method are compared with similar properties of contemporary "weighted residual" one-step integration methods, such as Hilber–Hughes–Taylor (HHT-α) method and generalized single step single solve optimal (GSSSS-optimal) method.
The image processing algorithms can be generalized to two steps, namely image enhancement and image analysis.
LS methods belong to generalized linear multi-step class of integration methods with second derivative (GLMSd2) and employ direct use of non-modified dynamic equations.
Approximated generalized likelihood-ratio step algorithm (AGLRstep) [ 33] for automatic detection was used to determine the beginning of muscle activity.
Using the statistical program SYSTAT-12, we ran a stepwise regression with a forward and backward stepping generalized linear model analysis to find out the equation that relates the effects of BMI and age in diabetic and nondiabetic men on free testosterone levels.
The mathematical expressions of these two steps are generalized into Figure 3 Theoretical frame of the matching process in the viewpoint of pattern recognition.
Nitrification can be generalized as a two-step process wherein the initial oxidation of NH3 to NO2−, considered as the rate-limiting step, is followed by the oxidation of NO2− to NO3−.
Marino et al. [27] introduced a multi-step iterative method that generalizes the two-step method studied in [19] from two nonexpansive mappings to a finite family of nonexpansive mappings, and proved that the sequence generated by this method converges strongly to a common fixed point of the mappings which is also a solution of the equilibrium problem (1.6).
This step can be generalized by the application of all moment generating functionals, yielding q − n − 1 ( a K n ( f Ω ) + b q − 2 K n + 2 ( f Ω ) ) = c K n ( f Ω ) + d K n + 2 ( f Ω ) + e K n + 4 ( f Ω ).
To make a balance between privacy and utility, we introduce a social network integration framework which consists of three major steps: (i) constructing generalized sub-graph, (ii) creating generalized information for sharing, and (iii) social networks integration and analysis.
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