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The ash content in all three samples was estimated by analyzing the weight changes of the samples during the programmed temperature using Kaiyuan 5E-MAG6700 industrianalyzerzer.
In particular, it is related to the work by Freund and Pierola (2015), who analyze the export concentration in 32 developing countries, investigating whether the countries' trade patterns are defined by superstars.1 Our research adds to the literature analyzing the weight and role of top exporters in Spain, a major world exporter.
Since variances could not be made homogenous when analyzing the weight data from fry/juveniles (due to the large difference in growth between transgenic and wild-type fish), analyses of differences between temperatures were done separately for the two genotypes.
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Prior to the pyrolysis experiments thermal gravimetric analysis was used to analyze the weight loss over temperature.
Random Matrix Theory (RMT) is applied to analyze the weight matrices of Deep Neural Networks (DNNs), including both production quality, pre-trained models and smaller models trained from scratch.
Random Matrix Theory (RMT) and Randomized Numerical Linear Algebra (RandNLA) are applied to analyze the weight matrices of Deep Neural Networks (DNNs), including both production quality, pre-trained models and smaller models trained from scratch.
In order to analyze the weight and balance requirements of the UTV, the moment of the LT caused by the cutting system is studied.
In a multicenter, retrospective study, we analyzed the weight loss, resolution of co-morbidities, and complications of both SG and RYGB using a case-control study design.
Then, thermal decomposition experiments of shale samples were also conducted by the combined Thermogravimetry-Fourier transform infrared spectroscopy (TG-FTIR) technique to analyze the weight loss behaviors and gas emission in N2 environment during pyrolysis.
To quantitatively analyze the weight percentage of the fcc-Fe3O4 in the post-treated nanoparticles, a standard Rietveld method was applied to fit the patterns.
The Fattal prior also utilizes Lemma 3. To observe this, we analyze the weight factor, η, in (46) which is a measure of ambiguity.
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