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We obtain some oscillation criteria for (1) by developing a generalized Riccati substitution technique.
In this paper, we take a different approach by developing a generalized Vlasov-Jones foundation model for the matrix and describing the inclusion using Donnell shell theory.
[ r ( t ) x Δ ( t ) ] Δ + p ( t ) f ( x ( ξ ( t ) ) ) − q ( t ) h ( x ( δ ( t ) ) ) = 0. on an arbitrary time scale T. We obtain some oscillation criteria for the equation by developing a generalized Riccati substitution technique.
Building on our initial work on asymmetric code partitioning, we have addressed the challenges of cross-tier code and data partitioning by developing a generalized framework that analyzes both code and data usage in a web application, and then converts the data into a BIP problem.
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Recently we overcame this difficulty by developing a new generalized sub-Gaussian model which captures both behaviors in a unified and consistent manner, exploring it on synthetically generated random functions in one dimension (Riva et al., 2015).
In [12] the authors generalized traditional beam tracing by developing a method for constructing the beam-tree through a lookup on a precomputed data structure called global visibility function, which describes the visibility of a region not just as a function of the viewing angle but also of the source location itself.
The extent to which these approximations introduce bias could be understood by developing a range of models, perhaps using versions of the chain binomial model or other generalized contagion processes.
A number of investigators have tried to develop a generalized prediction method for flow-generated noise produced by in-duct elements in a ventilation system.
Therefore to test whether there is difference between the means of ERs for two groups of SNPs, we developed a generalized paired Z-test by incorporating the correlations among different environmental factors.
In Section 6, by using the state space model in Section 5, we develop a generalized Bayesian inference procedure to estimate unknown parameters and to predict state variables.
We have developed a generalized dynamic rainfall monitoring algorithm from limited non-linear attenuation measurements by utilizing the spatial sparsity and non-negativity of the rainfall field.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com