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Life-cycle analysis is a beneficial tool that can be utilized to quantify the performance of buildings within the context of environmental impact metrics (e.g. carbon footprint).
The results from the foregoing analysis can be easily scaled to reflect per capita environmental impacts and can therefore be utilized to quantify the environmental impacts of energy production from various energy sources in general.
In future, the landscape approach (Li & Wang, 2014; Li & Wang, 2015) could be utilized to quantify the stability of the hybrid E/M state and transition processes during EMT and MET.
Furthermore, IMFE that is designed to avoid the inaccurate estimation of fuzzy entropy can be utilized to quantify the complexity and self-similarity of time series for a range of scales based on fuzzy entropy.
Therefore this assay could be utilized to quantify wt contaminations in soybean seedlots harbouring the GTS 40-3-2 event.
Additionally, allele-specific expression can be utilized to quantify the impact of enhancer variants within a specific cell type.
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On MRI, several measurements are utilized to quantify and characterize LV thickening.
Pre-column derivatization of sugars with PMP reagent was utilized to quantify Cl-DG content.
Pearson correlation coefficient (PCC) is utilized to quantify the effectiveness of these 114 features.
Afterward, the new model is utilized to quantify the tortuosity of heterogeneous translucent silica.
Raman spectroscopy was utilized to quantify both molecular strain and orientation of fibers deformed in tension.
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