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Life cycle assessment is becoming the preferred methodology for comparing the environmental impacts of competing processes.
A methodology for comparing and choosing simplified models is of benefit to the model development process in metrology.
Additionally, a recently introduced methodology for comparing a high number of experimental results in a graphical way is used.
This chapter presents a systematic material selection methodology for comparing candidate materials for a specified design scenario.
Hence this paper proposes a methodology for comparing different software solutions based on the SRS to a common problem.
In this paper, we propose the Inherent Benign-ness Indicator (IBI), a statistical analysis-based methodology for comparing process routes.
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Also, remaining technical problems are discussed for further research topics and several benchmarking methodologies for comparing different algorithms are provided so that readers can have some perspectives for next research direction.
The focus of this study was to explore different methodologies for comparing the period prevalence over a certain time interval (i.e., January through June, 2010).
This study aims to provide a basis for further development of methodologies for comparing microarray data across different experiments and for the integration of microarray data from different labs.
Below, we discuss distinctive features of the methodology used for comparing new and current biomarkers, possible reasons for high specificity of new biomarkers when used singly and significant improvement in diagnostic accuracy when combined with T-tau, and limitations of our study leading to directed avenues in the identification of accurate CSF biomarker(s) for sCJD.
The methodology was implemented for comparing two grippers (Fin-Ray and Lip-type) for harvesting two sweet-pepper cultivars.
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