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However, the application of magneto-based methods is restricted due to lack of reproducibility and renewal of the sensor surface.
The use of internal cost allocation methods is restricted to accurate ones that also take the service exchange between indirect cost-centers into account, such as the iterative method of assessment [20, 21].
The performance of such methods is restricted by the accuracy of drusen detection.
Usually, the limit of detection of these methods is restricted by the sensitivity of the optical system.
Formalin-fixed paraffin-embedded specimens (FFPE) are easy to handle and economic to store, but their applicability for molecular methods is restricted.
However, the application of these methods is restricted by the availability of the orthogonal scans, which are not typically acquired clinically.
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Currently, these methods are restricted to highly developed laboratories.
These methods are restricted to one-pixel wide contours and are sensitive to noise.
Most methods are restricted by assumptions on the number of targets, statistical properties of observations, and number of possible measurements.
Most Bayesian variable selection methods are restricted to mixture priors having separate components for characterizing the signal and the noise.
Most of the existing metallization optimization methods are restricted to the conventional H-pattern, which limits the achievable improvements.
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