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All subjects then underwent three projection views of the breast of interest: craniocaudal (CC), mediolateral oblique (MLO),and lateromedial (LM) using the Siemens MAMMOMAT Inspiration system (Siemens AG, Erlangen, Germany).
Cross type recapture estimates, excluding inbred cross types, were tested for dependence on the percentage of local genes using linear regressions (lm) using the initial release number of unfed fry for the cross types as weights.
Genetic paternity analysis was carried out by LM using the genotypic data previously available (methods detailed in Nürnberg et al. 1998), in addition to newly generated data for group V individuals.
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LM used the extracted material in downstream analyses and drafted the manuscript.
LM used the raw data and was executed stepwise, excluding cases listwise.
When we identified CGIs with an average CpG → TpG/CpA substitution rate of ≥0.03984 and SPM-LM using the RRBS data instead of the WGBS data, results similar to those obtained from the WGBS data were obtained, also indicating that SPM-LM does not necessarily lead to a low CpG → TpG/CpA substitution rate (Additional file 5: Figure S2 and Additional file 6: Table S4).
Thus, we ran linear mixed-effects models (lmer) using the R package 'arm' (version 1.7 05) on the different dependent variables, with bird identity as a random factor.
First, improved normalization is the key for accurate LM, using for instance the unified normalization-segmentation algorithm [Ashburner and Friston, 2005] that has previously been shown to be robust in brain-damaged subjects [Crinion et al., 2007].
The completed incident investigations were linked to existing additional investigations, for example, LM investigations, using the hospital incident reporting system.
= average of the m likelihood ratio statistics, w L 1,..., w Lm, evaluated using the average MI parameter estimates and the average of the estimates from a model fitted subject to the null hypothesis.
The MT system is then used to translate a text in order to aid the LM used to recognize the same or similar story in the original language.
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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