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The method can utilize multiple targets (in this paper, Si and C) simultaneously in order to deposit complex compositional coatings.
The combination of appearance model and traditional machine learning techniques consumes target tracking as a binary classification problem [6,7], and this method can utilize background information effectively and thus can improve the effectiveness of tracking.
For example, our method can utilize the following path over the network: drug1 (start) → protein1 → drug2 → protein2 (end), which maps to the following example path in the bottom-right side of Fig. 1: D00316 → hsa5915 → D00094 → hsa6096.
However, our method can utilize the information of the moments that are from second moment to high moment when it is necessary according to the sample size and data.
The GREML method can utilize data on very distantly related individuals, individuals that are typically considered "unrelated" in traditional GWAS.
We named this centrality value the "node-limited betweenness centrality (nlBC)", and this method can utilize the sum of the weight values of both ends of each shortest path (see "Methods" for details).
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Furthermore, as these methods can utilize random utility theory (RUT), they are more consistent with economic [ 48] and psychological [ 49] theories of choice.
Desalination methods can utilize either thermal processes (involving heat transfer and a phase change) or membrane processes (using thin sheets of synthetic semipermeable materials to separate water from dissolved salt).
Alternative methods can utilize linear accelerators or lasers.
Global optimization methods can utilize the information collected from various sources and by different tools.
Dynamical downscaling methods can utilize the advantages of RCM to provide better predictors for use in statistical downscaling (Guyennon et al. 2013).
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