In this process the weaknesses of one methodology can be addressed by the complementary strengths of others; for example, evidence from knockout animal models can support information from genetic epidemiology, and findings from experimental toxicology can strengthen information from environmental epidemiology.
After providing an overview of the nature of incentive regulation, one methodology for measuring the effects of incentive regulation on productive efficiency is reviewed.
The majority of study participants were open to some form of public involvement in the OWTS, however no one methodology was preferred by the majority.
While it is possible that the conclusions provided by one methodology are more accurate than the other (i.e. COI versus shape data), we believe the two data sets reveal different aspects of the same story.
Of the 18 tumors tested by one methodology locally, 15 yielded positive results on the testing methodology not performed locally.
Most of the time, complete understanding of a phenomenon requires the use of more than one methodology.
We compared the one-step methodology using all FFPs (previous method) with one using only visible FFPs (proposed method).
In the final part of this study, 2-hydroxy-6-methylnicotinonitrile was employed as a precursor, to test the utility of the one-pot methodology in assembling complex multinuclear structures.
The one-step methodology has been used for model parameter estimation by the S3DMM-based method, which simultaneously estimates the shape and pose parameters using a non-linear optimization algorithm [3, 17, 19].
This alternation methodology is used in most S3DMM-based methods [5, 6, 18, 20] because it reduces the computational time and produces a linear cost function, compared with the one-step methodology that estimates all of the parameters at the same time using a non-linear optimization process.
