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The best results were obtained with the commercial as received sample, which can be explained by the small size of the Au particles (2 5 nm).
The first variant aims to measure Fractional Anisotropy (FA) averaged over the whole sample which can be extracted from the DDCOSY results using a particular gradient orientation scheme.
Finally, the FeAlPO4-5 turned out to perform higher thiophene desulfurization rate against AlPO4-5 and impregnated sample, which can be related to the improvement in the adsorption ability and reactivity for the single Fe sites inside the microporous environment.
The above studies showed that a greater mass of wax was absorbed within the activated carbon foam samples as compared to the pristine sample which can be due to their greater wettability.
Digital rock physics (DRP) uses digitized images of reservoir rocks to compute their properties, such as porosity and directional permeability, and provide a better view of the internal structure of the rock sample, which can be used to study the heterogeneity and permeability anisotropy in carbonate rocks and reservoirs.
2H spin-lattice relaxation analyses reveal that there exist three components with different T1 values at each temperature in each sample, which can be assigned to the crystalline, less mobile noncrystalline, and mobile noncrystalline components in the order of decreasing T1 value.
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This provides surrogate samples which can be used to derive the distribution of the Bayes factor.
In both methods, a micro-amount of sample is placed into a microplate reader with a capacity for 96 samples, which can be analyzed in times ranging from 5 to 10 min.
As the real-time SYBRGreen assay detects both entero- and rhinoviruses it can be used for primary screening of samples, which can be positive for either of these viruses.
It could be demonstrated that the spreading velocity parallel to the surface pattern is higher for all samples which can be explained by increased capillary forces and liquid pinning induced by the surface patterning.
BvSB-ADN is initially constructed based on the structure of restricted Boltzmann machines (RBM), then active learning is used to identify samples which can be labeled as training data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com