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The method typically requires that the target has strong image features.
Since the shape data is required or at least helpful when analyzing the SAXS data, this method typically requires a complementary method.
The standard finite element method typically requires intensive remeshing to adequately capture the geometry of the cracks and high accuracy is thus often sacrificed in favor of scalability, and vice versa.
In general, the method typically requires a sample diluted in media or phosphate buffered saline added to a known number of live microbes.
The indifference probability is the weight to be assigned to health state H i. On the other hand, the TTO method typically requires comparing Y years in a particular health state H i to X years in full health.
As thresholds are measured across a range of external noise levels, the equivalent noise method typically requires several thousand trials, making it unsuitable for investigating the visual abilities of children, who may get bored and become inattentive.
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Both fractional factorial design and Taguchi's method typically require 2n test conditions, n=2,3,4,…, and hence do not take full advantage of this fact.
The development of effective multi-modality imaging methods typically requires an efficient information fusion model, particularly when combining structural images with a complementary imaging modality that provides functional information.
Those methods typically require that the nanoparticle be able to recognize a particular cell or disease state.
Traditional edge detection methods typically require uniform grid point distribution.
Current methods typically require 24 h and use target inefficiently.
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