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However, the use of these models in practice and utilizing, analyzing or transmitting these data from such systems must first invariably be discretized.
Many aspects of the instrumentation systems utilized in remote sensing have been discused by so many scientists or researchers, as well as theory and procedures involved in qualitatively analyzing data from such systems.
Data from such systems are used for program planning, management of the commodity supply chain, to identify and address emerging implementation or clinical problems, and to facilitate epidemiologic analysis and operations research [ 1].
Most of them capture only a first-order approximation to the complex transcriptional processes by assuming linear gene responses and linear dynamics in TFA, or ignore the temporal information in data from such systems.
Since current scanning-based hyperspectral retinal cameras normally require an exposure time > 5 secs long to acquire an (x, y, λ) datacube [ 20], all in vivo retinal data from such systems would be compromised by motion artifacts.
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Results of this study provide useful insights for designing continuous supercritical water reactors as well as for the analysis of experimental data obtained from such systems.
In conventional, two-dimensional culture, human Schlemm's canal (HSC) cells lose spatial, mechanical and biochemical cues, resulting in altered gene expression and cell signaling than observed in vivo, compromising the clinical relevance of data obtained from such systems.
Finally, methods for expanding analysis of the data collected from such systems via real-time oxygen uptake rate (OUR) calculation are briefly examined.
However, the current knowledge about long term P removal in soil treatment systems is not well developed and the data used for estimation of P losses from such systems are unreliable.
The abundant data from such experimental systems are very useful for numerical model development and validation.
However, in practice, most studies are carried out without checking the reliability of data from such a system, which may lead to inappropriate maintenance strategies.
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