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For that reason, we developed a novel, modular IE approach and implemented this methodology in a commercial FEA solver with minor user subroutine interventions.
We implemented this methodology using American Stock Exchange (AMEX and New York Stock Exchange NYSEstocktock data from the period May 1967 through April 2005, extracted from the Center for Research in Security Prices (CRSP) database.
We implemented this methodology using the p-values (Figures 6A and 6B y-axis) and simulated case percentages (Figures 6A and 6B: x-axis), for census tract centroids (Figure 6A) and individual addresses (Figure 6B) starting with only one month of historical data to draw upon, all the way up to 18 months.
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Given the complexity of biofilms, the conditions for implementing this methodology were optimised using pure planktonic cultures of each species.
We present the RAMIRES Risk-Adaptivee Management in Resilient Environments with Security) tool, implementing this methodology.
A tool called MoDEST implements this methodology and provides real-time code generation.
The autonomy architecture and algorithms used to implement this methodology are also described.
The User Rights and Integrity Enforcement Logic platform, URIEL, was developed to implement this methodology.
In this work, we implement this methodology in a free-surface Marker-And-Cell discretization methodology implemented in a finite differences method.
We implement this methodology by way of applying it to the case of the UK electricity distribution networks.
Currently, there is insufficient understanding of the structure/function relationships in modular regulatory domains to rationally implement this methodology.
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