Besides, the index performance evaluation method can quantitatively and comprehensively characterize the performance of different indices.
This method can quantitatively detect sequence-specific miRNA in a dynamic range from 10 aM to 10 pM with a detection limit as low as 7.8 aM.
This calculation method can quantitatively describe ecotourists' perception degree at any location in the ecotourism destination, so it can also be used to identify the spatial variation of visitors' perception on landscapes.
The results show that the proposed method can quantitatively identify the fault signature of a slight rub on the inner race of a locomotive bearing, effectively detect and locate the potential failure from a complicated epicyclic gear train and successfully reveal the fault development and performance degradation of a test bearing in the lifetime.
Using proper particle refractive index, the proposed data analysis method can quantitatively yield all aggregate parameters (particle volume fraction, fv, fractal dimension, Df, primary particle diameter, dp, particle number density, np, and aggregate size distribution, pdf(N)) without any prior knowledge about the particle-laden environment.
The method can quantitatively analyze HMF concentrations in a more precise manner than other methods and requires no (or very little) sample pretreatment.
Thus, our method can quantitatively find two edges that characterize density enhancements, and we confirmed the calculated widths by comparing to optical patch sizes from the AGO image data.
Since our method can quantitatively determine the efficacy of the treatment on the perfusion rate rather than grading visible necrosis, we tested whether our method was also useful for evaluating the efficacy of the proangiogenic factors in this nonresponsive group (Figure 4).
As a consequence, there is a pressing need for efficient computational methods that can quantitatively assess the reliability of technological networks to enhance their design and operation in the presence of uncertainty in their future demand, supply and capacity.
This need to provide a highly reliable, uninterrupted cloud service while effectively utilizing all available resources is highly desired by cloud providers/users and clearly demonstrates a gap in current CCS research, calling for the establishment of efficient methods which can quantitatively evaluate and design CCSs based on the competing needs of users (reliability) and providers (utilization).
