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The source of the research on spreading models was mainly from the question "finding a nice subspace " [1].
Thus, the difference in the prediction performances of the SVM and MLRA models was mainly due to the ability of the SVM approach to better handle the non-linearity of data.
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Such new technologies and altered business models were mainly relevant in developed and rich countries.
At present, however, business models are mainly linked with a large volume of sales and production.
Nonetheless, the existing design-oriented models were mainly calibrated for carbon fiber based materials.
It is identified that analytical research methods and transport cost models are mainly employed.
Arthritis models are mainly developed in small animals while high-quality tissue engineering experiments ask for a large animal model.
The proposed models are mainly designed for indoor applications oriented to provide guidance directly to people in danger.
Nowadays, empirical models are mainly based on response-surface analysis and make use of advanced statistical designs.
And while the models are mainly being used for research, companies are beginning to commercialize them for use in drug development and medical treatment as well.
While laboratory testing is time- and labor-consuming, the current concrete CTE prediction models are mainly based on empirical relationships.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com