The image-based methods presented provide a more accessible and less demanding way to remove the subject motion in the majority of PET studies.
The review also presents less established methods used that could be potentially useful in some situations, namely volatile metabolic profiling, conductometry, flow cytometry, microsphere immunoassays and phage typing.
With a 1 nL fluid sample, the microfluidic method presented here requires less than 1 h, which is 150-fold faster than ∼7 days required for a typical pressure decay test in a 500 mL PVT cell with bitumen.
In contrast, compared to CGRP release from lumbar spinal cord cut by a tissue chopper into small pieces [29], the method presented here is less disruptive.
This method presents a less invasive alternative to the current method of virally vectored gene delivery.
Results of the measured concentrations in 97 human plasma samples using the three methods show that the difference between any two methods or among the three methods presents 100% of samples with less than 20% for all the three amino acids and majority of them are under 10%.
(2) Using sensitivity test and comparing the results with real project by working experts showed that, changing weight criteria, Chen's method presented unexpected priorities and less sensitive to the criteria in some cases where local studies showed more needed sensitivity.
It is shown that the linearization method presented here provides slightly more (less) accurate results than those of nonstandard methods for fractional powers greater (smaller) than one, and both techniques are more accurate than those that freeze the nonlinearities at the previous time step or linearize the nonlinear terms with respect to only the displacement or the velocity.
When compared with the traditional integral transform methods used to model fracture closure, the superposition method presented in this study produces comparable results with significant less computation time.
Another method presented in this study involves assigning a diffuse and less risky two-step hierarchical prior structure for sensitivities.
