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In recent times, mathematical methods executed on computers have become predominant.
The paper presents new approach to Static and Dynamic Load Balancing (DBL) for loosely coupled multiscale modelling methods executed in heterogeneous hardware infrastructure.
We show how the computation of several dynamics indicators, such as a fast chaos indicator (FLI) or a phase shift indicator in small neuron networks (Central Pattern Generators), can be efficiently computed on these architectures by means of the numerical ODE methods executed through OpenCL.
The general settings for all methods executed in RDP3 were as follows: Sequences were considered to be linear, the p-value cutoff was set to 0.05, the standard Bonferroni correction was used, consensus daughters were identified and breakpoints polished.
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While the presented dynamic analysis methods execute the JavaScript code in order to detect malicious behavior, they differ in the way that they extract the JavaScript code.
Alternatively, dynamic analysis methods execute the file, usually in an isolated environment (sandbox), and examine its actions and behavior during runtime.
To do that, the application engineer needs to inform which methods execute right after a DB connection is established, i.e., methods that operate properly only if there is a connection open.
With the method executed twice only, the plasticity of the BMG part increases dramatically by about 20 times, from 0.1% up to ~2%.
Phylogenetic analysis in this study was carried out using BI analytical method executed in MrBayes 3.1.2.
This method executes the different behaviors of AFs in a simplified Euclidean solution space, which is built by the detection results of sub-optimal detectors.
The current work has shown that, using the CORA method, executing a FDO for an epiphyseal CORA and realigning the mechanical axis to the knee centre can achieve deformity correction even when fixed using plate and screws.
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