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Measuring CTL killing rates with this in vivo assay requires not only modeling killing itself but also the flow of targets into the spleen.
We use the available IBTR data to calculate the cell killing rates upon RT and show that common conclusions on cell killing can not be extended to microscopic diseases.
We also highlight the need for cell-based datasets that permit the quantification of CTL dynamics, including CTL location, migration, and killing rates.
GP killing rates should then be further decreased.
To estimate killing rates from this assay, we need to take into account two complications.
Clearly, overestimating the number of functional CTL will underestimate killing rates.
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In the general case of m drugs, we assume that the effect of the drug combination on cell types susceptible to all the drugs is somewhere between the maximum (individual) killing rate and the sum of all the killing rates (see text S1 for the exact formulation).
Fourth, we have studied the influence of the NaHCO3 concentration on the bacteria killing rate.
In addition, as compared to the static one, the moving micromotor exhibits a much faster killing rate.
We adjust the pH of the static Ag/Mg to 8 by adding NaOH (Note that Mg will not react with NaOH) and study the bacteria killing rate.
From the results of kinetic studies presented on Figure 3f, AgNO3-PVP/APTMS/TEOS fibers show the fastest killing rate compared to positive controls.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com