It turns out that some of Cardima's workers were not correctly classified.
However, the air marshals who made the decision were not correctly informed.
Also, the corners of the shapes were not correctly captured.
As a consequence, all results in the mentioned paper were not correctly proved.
Reduced displacements D R in Table 1 were not correctly calculated and the unit was wrong.
However, most of the staff members were not correctly informed about patients' rights to see their files.
Especially MIG patients with cluster-like autonomic symptoms, which are not rare [18] symptoms, were not correctly diagnosed.
However, the utilization of 5, 9, and 7 out of 29 carbon sources were not correctly predicted by using models iYL619_PCP, iNL895, and iYali4, respectively.
The molecules chelating exotic atoms (Au, Cu, Hg, I, Sn, …) or ions (Fe2+, Mg2+, …) were also filtered because they were not correctly handled by the docking programs.
Results shown in the previous sections may be unreliable if low amplitude EXs were not correctly counted due to large noise amplitudes.
The results here presented would change, in the direction of a worsening of the image bias, if these corrections were not correctly applied.
