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One potential approach to this difficulty is to develop quantitative techniques for measuring MRI synovial volumes and erosion volumes using image analysis software [ 25].
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There are several simple approaches to this difficulty.
This paper proposes an approach to overcome this difficulty and develops a numerical method accordingly.
We describe a design approach to overcome this difficulty.
An efficient approach to alleviate this difficulty is to conduct a re-sampling procedure in the SIS algorithm.
Our approach to circumvent this difficulty is to simulate the system with a coarser granularity, considering a file is composed of segments that are larger than pieces.
The most convenient approach to overcome this difficulty is based on the modeling of membrane-bound P450 system in solution containing a detergent (instead of phospholipid membranes), as was proposed for the cytochrome P4502B4 system [19].
A common approach to avoid this difficulty is to design a proper numerical scheme and/or a proper mesh so that the numerical solution validates the discrete counterpart (DMP) of the maximum principle satisfied by the continuous solution.
Possibly the most promising approach to alleviate this difficulty is surrogate-based optimization (SBO), where direct optimization of expensive models is replaced by an iterative enhancement and re-optimization of fast surrogate models.
Another approach to overcome this difficulty is to use computational approaches, such as the FaST-LMM-EWASher method [ 96] or the RefFreeEWAS method [ 97], which adjust for cell composition without the use of reference samples.
An approach to resolving this difficulty is to use seed vaccine strains of the H5 and H7 subtypes that are exhibiting rare neuraminidase subtypes such as N5 or N8.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com