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The research focuses on developing a comparison between the fatigue performance of 120 years old and new equivalent steel structures.
Given a pairwise comparison, the analysis involves three tasks: (1) developing a comparison matrix at each level of the hierarchy starting from the second level and working down, (2) computing the relative weights for each element of the hierarchy, and (3) estimating the consistency ratio to check the consistency of the judgment.
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In this paper, we study the signal-independent Gaussian noise (SIGN) and signal-dependent Gaussian noise (SDGN) models for the FSO communication and develop a comparison between these noise models.
To address this problematic and provide some answers, we develop a comparison process of eight tests for differential expression.
To reduce the discrepancy between groups in treatment expectation and thus mitigate against the risk of triggering resentful demoralisation, we developed a comparison condition called "Depression Relapse Active Monitoring" (DRAM) as an alternative to a TAU-only control.
For that reason, we developed a comparison-based pipeline as previously described (see Material and Methods: Data analysis and Figure 1).
We assume all the sensor errors can be projected onto the vertical direction, and thus only the vertical errors are of concern in developing an objective comparison among the various sensors.
Due to the wide range of tools used in the literature, researchers should also consider developing a basis of comparison between tools to assist in comparing findings across studies.
Developing a basis of comparison between tools would potentially be helpful in comparing findings across studies.
Due to the wide range of tools used, developing a basis of comparison between tools would potentially be helpful in comparing findings across studies.
We are developing a cross-species comparison strategy that differs fundamentally from the current published approaches described above (which study human cancers only).
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