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Radiation dosimetric measurements were performed by varying the dose rates, total dose, and field sizes to characterize various properties of the sensor.
This computation is repeated over various timescales (bin sizes) to characterize the average fluctuation at each timescale.
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Photosynthesis-irradiance (PI) experiments were conducted at ambient temperatures, in conjunction with measurements of reaction center density and size, to characterize photosynthetic apparatus structure and performance.
Silambarasan et al. [66] used method of measuring the particle size distribution, zeta potential, and microscopy of grain size methods to characterize the suspending stability of TiO2 nanofluids.
X-ray diffraction was employed to estimate the catalyst particle size and to characterize the crystalline structure.
Through a series of numerical experiments, the methods were compared across different time and size regimes to characterize the precision and accuracy associated with each method.
The computed effective conductivities are found to be consistent with observations made on the microstructure itself and skeletonized network paths, and support the findings of earlier work with respect to the minimum sample size required to characterize the entire anode from which it is extracted.
For decades, researchers have turned to models of tumor size data to characterize the dynamics of tumor growth and response to treatment.
The preparation of monodisperse-sized nanocrystals with controllable sizes is very important to characterize the size-dependent physicochemical properties of nanocrystals [14 16].
The samples were analyzed for trace metals, Fe and Al, particle sizes, and mineralogy to characterize the similarities and differences between roadways.
The results suggest that large sample sizes are needed to characterize the high variability present in microbial activity and greenhouse gases in muck soils, but explanation(s) for spatial variability remain elusive.
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