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ANN methods present an alternative to numerical modelling systems that attempt to strictly quantify the influence of variables linked to physical parameters such as distribution of luminophores, rate of non-radiative energy transfers, analyte solubility and porosity of matrix.
Both methods present an important tendency to assign thresholds to the adjacent group that corresponds to a higher dose is observed (average probability 24%).
Bayesian methods present an alternative way to deal with datasets including sparse data, and Bayesian analyses are now easily implemented using appropriate software.
Biological methods present an incredible alternate for decolorization/degradation of spentwash due to their low cost, environmental friendly and publicly acceptable treatment and cost-competitive alternative to chemical decomposition processes [ 8, 9].
Computational methods present an attractive adjunct to experimental studies because they have higher throughput, have shorter turnaround times, are cheaper, and are safer than experimental work with whole virulent viruses.
Both the indirect and the direct random methods present an excellent correlation coefficient with the nCounter data (0.981 and 0.975, respectively), while the ds-cDNA method's correlation was lower (0.842).
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Silver's methods present a dilemma for television networks.
These methods present a good solution for sizing PV systems under the above conditions.
These methods present a general analysis for eliminating ring artifacts from the tomographic slice.
Developments in single photon emission tomography instrumentation and reconstruction methods present a potential for decreasing acquisition times.
In conclusion, CRS methods present a consistent approach for MDA coverage surveys despite different methods of household selection.
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