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Computational results on this testbed show the viability of our methods, proving that savings in the order of millions of Euro can be achieved.
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The viability of our method for biological sample assays was demonstrated by measuring the miRNA-21 contents in three human serum samples.
The obtained results confirm the viability of our method and indicate that it can adapt the internal map representation over time to localize the robot both globally and locally.
We confirmed the viability of our method using five different cell lines, breast cancer cells (BT20), mouse normal embryonic fibroblast (NEF) as well as those expressing E6/E7 onco-proteins of human papillomavirus (HPV) type 16, and a human cervical cancer cell line (HeLa).
This choice thus imitates a scenario in which some 80/180 = 44% of the data is labeled (where we consider that the test set is used here only for purposes of evaluating the viability of our method).
This is also an important control to establish the viability of our method.
Further, multi-center studies are needed to determine the viability of our estimation method in PET facilities with various clinical circumstances.
To validate the method, the viability of our corticostriatal organotypic slice cultures was analyzed using a standardized protocol for PI uptake.
In this scenario net energy analysis (NEA) can provide a tool for establishing the viability of different methods before scaling up.
The statistical error analysis method is used to examine the accuracy and viability of used methods.
The fact that we have designed such a device that is ideally suited to do so, does not exclude the viability of other methods.
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