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Moreover, the distance between the neighboring two Sc atoms (5.61 Å) is considerably larger than that of the Sc2 dimer (3.20 Å), therefore, the problem of Sc atoms aggregative to form the Scn cluster is expected to be overcome.
Membership in the National interest cluster is expected to have a negative influence on WTP as these individuals are more concerned about national security and less concerned about the environment.
Using membership in the Neutral cluster as the base case, membership in the Environmental cluster is expected to have a positive influence on WTP for emission reductions, as members of the Environmental cluster tend to have strong views about the importance of protecting the environment.
In our case, this means that the bit rate observed at the same time with the parameters that formulate one data sample of the cluster is expected to be the same with the respective bit rate of the other data samples of the same cluster.
The preliminary step, i.e., the fine grained clustering operation, divides the temporal expression data into a large number of clusters in which the similarity between the different expression profiles in a cluster is expected to be very high.
Once the opposing surfaces are separated locally at open bonds by more than a critical distance, bond rebinding becomes hardly possible and the cluster is expected to undergo a catastrophic failure process.
Similar(47)
Like the conventional clustering approaches for objects, the attributes within the same cluster are expected to possess high similarity, but within different clusters possess low similarity.
Moreover, according to the SOM theory, data samples that belong in the same cluster are expected to be similar to each other.
Entities within a certain group or cluster are expected to be very similar to each other, and entities belonging to different classes are expected to be dissimilar (Bidogeza et al. [2009]).
Tuples in the same cluster are expected to be more correlated each other than those in original training set R. The main flow can be found in Fig. 1 and Algorithm 2. To begin with, there is an input parameter S, the structure of decision trees, which can be generated by Algorithm 1 and determined by cross-validation.
The genes in this cluster are expected to be important for neural function, rather than creation, as no new pharyngeal neurons are created after hatching [34].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com