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A CO2 mineral sequestration procedure that utilizes alkaline spring samples was proposed.
Then, we present an efficient heuristic solution procedure that utilizes the solution generated from a Lagrangian relaxation of the problem.
In this paper, a remote sensing image segmentation procedure that utilizes a single point iterative weighted fuzzy C-means clustering algorithm is proposed based upon the prior information.
To perform an effective simulation, we employed a parallel 3D FDM simulation code based on a domain-partitioning procedure that utilizes a large number of processors with a message-passing interface (MPI) (e.g., Furumura and Chen 2004).
These variants are denoted as HFHMM-H-E, HFHMM-S-E for the exact embedding, and HFHMM-H-N, HFHMM-S-N for the procedure that utilizes the Nyström extension.
To perform this large-scale simulation effectively, we employed a parallel 3D simulation code based on a domain-partitioning procedure that utilizes a large number of processors with a message-passing interface (based on the work of Furumura and Chen 2004).
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We developed a modeling procedure that utilized hypothetical stand characteristics to examine lidar profiles.
A RF classifier was built from the panel of candidate biomarkers using a backward elimination procedure that utilized the gini importance measure provided by the RF classifier [ 52, 53].
Compared to a previous screening procedure that utilized the wild type Ls-AChBP crystal structure, the current study shows that the recently obtained α7/Ls-AChBP chimeric protein crystal structure is a better template for the identification of novel α7 receptor ligands.
These algorithms are heuristic population-based search procedures that utilize certain mechanisms known from natural evolution.
In the literature, there are a variety of analytical procedures that utilize GC-MS to characterize saccharide materials in paint samples, however the chromatographic profiles are often extremely different and it is impossible to compare them and reliably identify the paint binder.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com