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A novel procedure in which specific substructures of interest are classified and aligned without applying rotational symmetry was utilized recently to delineate asymmetric structural assemblies in bacteriophage T7.
Using pattern recognition the compound is classified, and class-specific rules are applied to estimate the molecular mass.
If no rule applies or both M and B rules apply, the mass cannot be classified and defined as indeterminate.
After the tokens are classified, we apply some translation rules (defined by LIBRAS specialists) to translate these tokens (or words) for a representation in gloss notation.
Finally, cases are classified by applying the entire set of models, using a weighted voting procedure to combine the separate predictions into one overall prediction.
However, such ideas are currently not testable and so might be classified as applied mathematics rather than science.
This study designs a model to objectively measure the IT convergence level for the automobile and shipbuilding industries, which are classified as a typical manufacturing industry, and applies it to them so that it would like to acquire availability of the model as well as to provide the present condition of current IT convergence level.
Regarding the method, the research uses a field methodology and in terms of its objectives, it is classified as an applied research.
The materials with which the antisense approach can be applied are classified as antisense oligodeoxynucleotides (ODNs), antisense RNAs, and catalytic RNAs or ribozymes.
Finally, the UCZs of the study area were classified by applying K-mean clustering analysis, and each spatial characteristic of the UCZs was identified.
A new gene can be classified by applying all 50 TF-specific classifiers to the feature vector for that gene in balanced genomic test sets.
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