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Drug-based computational methods utilize knowledge of chemical similarity [ 10– 12], molecular activity similarity [ 13– 15], or molecular docking [ 16, 17] to search new indications for drugs.
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The method utilizes knowledge of timber diaphragm seismic behavior, such as natural period calculation, force displacement and ductility damping relationships, developed previously by the authors.
The geometric feature-based methods utilize prior knowledge about the face position, and constrain the landmark search by heuristic rules that involve angles, distances, and areas.
To utilize knowledge of network graph structure, we applied methods for merging expression data with network information [ 12].
To utilize knowledge and realize a contribution, research knowledge has to be translated.
In more details, some methods extract distinctive attributes of the spikes, such as height and duration, mimicking the criteria used by the neurophysiologists [7] or utilize knowledge-based rules (spatial and temporal) [8, 9].
Different sciences use different terms, apply different methods, utilize different computer systems and technology.
Traditional classical event tree methods utilize analysts' knowledge and experience to identify the important timing of events in coordination with thermal-hydraulic modeling.
Firstly, the method utilizes external knowledge resource to apply query expansion, and uses the query likelihood (QL) language model [24] to rank articles.
Instead of using unknown background resources, the proposed method utilizes prior knowledge that is mathematically calculated from the properties of other learning algorithms such as PCA, LARS, C4.5, and SVM.
However, methods utilizing these cells are still under preclinical study due to insufficient knowledge about their physiology.
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