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Monitoring surgical outcomes is critical to quality improvement; however, different data-collection methodologies can provide divergent evaluations of surgical outcomes.
Mass spectrometer based proteomics has evolved from the ability to identify proteins present in a complex mixture to its current state where both label free and label-based methodologies can provide quantitative information regarding proteins with high precision.
Both methodologies can provide spatially and temporally distributed measures of GPP, NPP and Ra.
Therefore the use of multiple modelling methodologies can provide a more complete understanding of the mRNA translation process, a robust platform from which to investigate specific biological effects.
While standard RNA-Seq methodologies can provide some insight into the nature of full-length transcripts, a heavy 3′ bias in data outcomes must be addressed with a 5′ cap-trapping strategy.
Conclusions: Although the above quantitative results were obtained using a specific prototype system under the experimental conditions reported in this paper, the presented evaluation methodologies can provide valuable guidelines for optimizing operational parameters in cytogenetic imaging using the high throughput continuous scanning microscopes in clinical practice.
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An adequate methodology can provide a guideline and support engineers in the complex design process.
The methodology can provide an insight into mixing processes for studying the fundamental morphology development mechanisms for immiscible interfaces.
It is shown how the proposed methodology can provide policy-makers with new tools for hydrogen development strategies.
It is proposed that a new evaluation methodology can provide semi-quantitate evaluation for the forming difficulty of the sheet.
This combined methodology can provide several advantages over others available through different independent applications, which always require an intermediate processing to turn compatible their output/input data.
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