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In comparison with the cases of shear connectors singly used, the interactions between the steel studs and PBL in CFSC decreased the shear capacity of the steel studs by 18% and increased that of PBL by 6%.
In order to train for log-likelihood calculation we used the interactions that are present both in the dataset serving as evidence and in the positive or negative reference datasets.
We used the interactions available in the gold-standard BioGRID database (version 3.0.64 for S. cerevisiae) [ 37].
The scores higher than 0.7 will be considered as high confidence [ 51], thus, we used the interactions with combined scores higher than 0.7 for further analysis.
We used the interactions from the Biogrid, Intact, Mint, Hprd, CPDB, SingNet, graphite and String database seperately as global reference networks for the GRN and measured the number of true, false positive (TP, FP), true, false negatives (TN, FN) and F-score to compare the performance of the three inferred gene regulatory networks.
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Therefore, we used the interaction modeling as a basis for the development of other required artifacts of the application.
we used the interaction modeling as a basis for the development of other necessary artifacts, such as prototypes and UML (Unified Modeling Language) use cases.
To avid the problem, we used the interaction confidence score (i.e. edge weight) in the network-based method as described above.
We used the interaction data as described above.
For protein interaction data, in addition to networks computed by using PCC, we also used the interaction networks directly.
Researchers have used the interaction network of these databases to perform many studies and applications [ 11, 19, 20].
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