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Detailed experimental results are presented and exploited for the validation of control algorithm and numerical models.
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Simulations are carried out for the validation of the proposed control scheme.
This paper presents the validation of a control algorithm for a group of unicycle mobile robots based on nonlinear model predictive control.
Moreover, due to its ability for providing very accurately controllable testing conditions, VEHIL can also be used for the validation of the performance of intelligent vehicle control and fault management systems.
We used transgenically expressed murine βV-tubulin in HEK293T cells as positive control for the validation of several primary antibodies.
Negative control for the validation of the phospho-Akt (Ser437), p44/42 MAP kinase assay consisted of sections incubated with secondary antibody alone without primary antibody in all runs.
As a control for the validation of our protocol, we individually tested the cell survival of over 40 deletion strains after exposure to acetic acid by counting colony-forming units (CFU assays), as previously described [ 18].
Positive controls for the validation of galanin antibodies were sections including hypothalamic nuclei [ 9, 10, 27].
5′-3′ sequence of primers used for the validation of the different hot-spots and controls.
We also selected several control proteins for the validation of the quantification method (ACAN, COL2A1, TG2, CTSB, CTNNB1).
The SD platform for absolute quantification of single-cell mRNA can be optimized for other genes and may be useful as an independent control method for the validation of mRNA quantification techniques.
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