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For code validation, the result of the flow solver is compared with experimental data and other computational results.
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In order to achieve validation, the results of this study are compared with former studies.
For the purpose of model validation, the results obtained in the present analysis are verified against those given in literature.
In the final validation, the resulting annual and total numbers of infections and vaccinations were compared.
Because of the lack of validation, the results concerning these statements must be interpreted with caution.
Although these novel targets require replication and functional validation, the results are provocative and supported by prior work.
Without proper cross-validation, the result can be overly optimistic.
For all the ten cross validations, the results remain quite consistent.
The need for validation of the results in an independent validation cohort is advisable.
For validation, the numerical results are compared to experimental data.
This prevents proper scientific review and validation of the results.
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CEO of Professional Science Editing for Scientists @ prosciediting.com