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However, the fitting performance of these reconstruction methods is not good enough.
Therefore, the practical application of these reconstruction algorithms is not as successful as the theoretical research.
This is restricting the flexibility of these reconstruction approaches especially for multi-temporal analyses.
Thus, it is imperative to compare the performance of these reconstruction methods on a single data set to provide appropriate guidelines to neuroscientists on making an informed decision while designing their acquisition protocols.
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But voter registration and advocacy groups say that recent overhauls of these Reconstruction-era laws have loosened enough in some states to make it worth the time to lobby statehouses for more liberal voting restoration processes, and to try to track down former felons in indigent neighborhoods.
At the Natural History Museum in London, there was talk of getting rid of these reconstructions because they're not accurate.
Figure 17 shows line profiles of these reconstructions.
The detailed measurements of these reconstructions are listed in Table 1.
This has perhaps led to the slow adoption of these reconstructions.
Although surgeons routinely perform ligament reconstructions, the integrity of these reconstructions largely depends on adequate biological healing of the interface between the ligament graft and the bone.
To our knowledge, there are currently no studies that investigate the impact of these reconstructions with PSF modelling and TOF on TLG and SUVpeak.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com