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An IgG control was not necessary since previous studies using this model have shown that administration of polyclonal IgG purified from non-immunized or PBS-immunized rabbits, does not affect platelet numbers or the survival of mice [19], [20].
Results with this model have shown that both TRPV1 and CGRP are crucial for inflammation-evoked thermal hypersensitivity (39).
In relation to 5/6Nx, other studies employing this model have shown that, in nephrectomized rats, VC is not detected through von Kossa staining in normal conditions [ 3].
Thus, previous studies from this model have shown that AIs, and especially letrozole, are more effective at suppressing tumor growth than either tamoxifen or the pure potent anti-estrogen fulvestrant (ICI 182,780; Faslodex) [ 5, 11], and that the combination of AIs with anti-estrogens is no better than treatment with an AI alone.
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Previous work with this model has shown that following chronic maternal consumption of a HFD two maternal phenotypes emerge [47].
A sensitivity analysis of this model has shown that the mobility of arsenic may be controlled by the competition of arsenite with carbonate species for sorption onto ferrihydrite, i.e. the two by-products of dissimilatory As V) reduction.
This model has shown that when constraint pressure Pc > 4 bars and permeability k > 10−13 m2, previous models that consider heat transfer only at the global pellet level are still valid.
Other work with this model has shown that alterations in serum metabolite profiles are present in HFD fetuses [53].
A more recent study of this model has shown that down-modulation is not always the case, in that late-stage tumors (including invasive carcinomas) in the current backcross generations typically have apoptotic rates similar to those of angiogenic islets, suggesting a more subtle phenomena at play in expansive tumor growth (ref [16]).
This model has shown that a person usually passes through five stages of different perceptions of their task, as their skill improves.
Previous research using this model has shown that, among homeless individuals, there are specific characteristics that can help to predict and explain service involvement, and are categorized as predisposing, enabling, and need-related factors.
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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