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We evaluated the biological response of cells cultured on the different matrices and compared them to cells on standard TCPS.
The validated method of molecularly imprinted solid-phase extraction (MISPE) cartridge was successfully applied to the food matrices and compared with commercial sorbent (RP18 and Oasis HLB).
Here, we investigated the activity of freshly manufactured particles in solution and in fibrin matrices and compared the results with the activity measured after long time storage at 4 °C (Fig. 4).
To do so, we applied Neighbor-Joining [ 36] to the distance matrices and compared the resulting trees to the corresponding reference tree, using the Robinson-Foulds (RF) metric [ 52].
We also evaluated different types of chemical and genomic kernels captured by pairwise drug drug and target target similarity matrices and compared these with the model using no similarity information (δ kernel).
We fitted a mixed linear model as in [ 15] including a GRM and the similarity matrix (Geo), estimated using GCTA [ 16] the proportion of the phenotypic variance captured by each of these matrices, and compared them when including or not the current area of residence as a fixed effect.
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Thiscomputer coding of the proposed method is much eaimer than the classisal vibration analysis methods for similar analyses which makes it more apursuedate in implementation.
In order to create matrices and compare insertion sites among samples it was necessary to determine which insertion sites were conserved among strains.
The results of elastic modulus testing were adjusted with Ishai-Cohen and Narkis models for rigid polymeric matrix and compared to each other.
Simulated PA signals for the nanocomposite structure porous silicon-liquid are presented in Figure3 for different values of thermal conductivity and fluid permeability of the porous matrix and compared with the corresponding experimental curves.
A detailed three dimensional finite element model is used to predict the through-thickness thermal conductivity of a composite consisting of a woven fabric and matrix and compared with existing analytical two component models.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com