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Grain boundary cementite formation initiates regional partitioning of manganese from austenite to cementite that continues over months of cementite growth.
We use S to denote the bias of a regional partitioning to over or under estimate flux across regional boundaries.
We propose novel techniques for assessing the strength of borders within a regional partitioning scheme, and for assessing the impact of inappropriate partitioning on model accuracy.
Finally, we address these challenges by proposing novel techniques to assess the strength of borders in a regional partitioning scheme and to quantify the impact of border strength on mobility model accuracy.
Our techniques use the same mobility data used in previous sections and can be performed on any regional partitioning scheme, and thus provide valuable tools to mobility researchers and to urban planners.
3 Techniques for assessing the strength of borders in a given regional partitioning scheme are critical to ensuring the accuracy of mobility and migration modeling, and, perhaps more importantly, to enabling sound decision-making by authorities tasked with setting effective administrative boundaries. .
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In the following section, we propose novel techniques for quantifying the impact of a regional partition scheme on model accuracy, and for assessing the strength of borders in a given partitioning scheme.
A new regional partition of SCW is proposed in this model for better dealing with the great variations of physical properties of SCW in the neighborhood region of pseudo critical point, based on the analyses of the physical properties of SCW.
When exact patients' locations have been used in cancer surveillance, the detection sensitivity was not appreciably higher than that obtained with larger and more conventional regional partitions such as census block groups [3], though the benefit of localized rate variation (i.e. geographic excess or shortfalls in cancer incidence for small areas) was shown in an earlier study [4].
Only four of the LWC chimpanzees had SAM location estimates that varied across runs; however, the discrepancies between the SAM estimated origins of those four samples were from sampling locations that lie relatively close to each other and in the same regional partition.
Based on the InSAR images, we generate our fault source model and discuss its implications for the regional strain partitioning and the style of intra-plate deformation.
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