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Following the final prototype, we then implemented the virtual equipment on computers.
We then implemented a click methodology to graft the bifunctional ligand to azide-containing glucoside and maltoside scaffolds.
We then implemented an ontology-based economics knowledge sharing system (OEKSS) based on the EKSO and Semantic Web technologies.
We then implemented that general strategy to analyze health insurance coverage data from the US Census Bureau's 2015 PDB.
We then implemented our model using COMSOL Multiphysics and identified it using a MATLAB-COMSOL optimization tool and the experimental data.
Because counts of drug-induced liver injury reports were unavailable in LiverTox, we then implemented a slightly modified categorization scheme that does not rely on counting reports.
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We then implement fluid models in an attempt to reproduce the results of the kinetic model.
We then implement our proposed algorithm in a PC based network system.
We then implement the proposed two-stage correlation algorithm in a fully distributed CIDS.
We then implement the Newton method with finite-difference and secant approximations for the Jacobian.
We then implement it as a generic package which can be applied in any distributed applications.
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