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Our results confirm conclusions from previous studies that point out the fruitfulness of analysing data characterised by small ( rho ) (Nelzek 2008).
It is also noteworthy that GFMAPR model exhibits improved forecasting ability overall compared models when applied on data characterised by strong variations.
In order to describe microbial data characterised by an excess of zero counts (1−π), we assess the zero-inflated Poisson (ZIP) and zero-inflated negative binomial (ZINB) distributions as alternative statistical models.
GFMAPR shows excellent forecast capability for data characterised by fluctuations, variations and randomness; GFMAPR is quite effective for forecasting in the presence of small and medium sized data availability; GFMAPR is able to make relatively high accurate forecasts when compared against models frequently employment in the industry for forecasting; and.
Parameter optimization can then be conducted for the subset of the data characterised by proper species names, as done here when reducing the 427 GenBank accessions to the 354 used for taxonomy-based optimization.
Altogether, these data characterised Hsp27 as a potent therapeutic target in breast cancer bone metastasis and skeletal tumour growth.
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DWI, CE-CT, TOF-MRI noninvasively deliver data characterising specific parameters of tumour pathophysiology related to vascularity.
In the human, data characterising the regenerative response is limited and the origin of adult LPCs is unknown.
To inform development and facilitate wider implementation of the new stochastic approaches, a database of experimental data characterising both inter- and intra-subject variability of gait parameters is required.
New potential applications of the technique are described: the acquisition of key data characterising the solute/solvent system in question, the design of improved monitoring and/or operating strategies, and the monitoring of polymorphic transitions during crystallization operations.
Experimental results obtained by processing separately simulation and real data characterise the efficiency of the approach as depending on the availability of signals provided from the automation system of considered process.
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