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In 13 cases, the onset of BD and SZ co-occurred; these cases were excluded leaving N = 784 patients in the sample of BD patients and N = 1,667 patients in the SZ sample.
The study population covers all patients registered in NDR diagnosed before 1st of January 2012 and alive 1st of January 2011, described in detail elsewhere (1), leaving N = 318,729 patients.
All subcohort members who reported prevalent cancer (excluding skin cancer) at baseline were excluded from analyses (leaving n = 4650).
One mouse from each cohort died before the end of the experiment, leaving N = 11 for the remainder of the experiment.
Two aged subjects were excluded (one with a pituitary tumor, one with a mammary tumor) leaving n = 9 young and n = 9 aged for subsequent analyses.
Two were excluded based on lack of thalamic activation, leaving n = 16 rats for further analysis.
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I_{text{offset}} left( n right) = R_{{{text{FT}} - {text{IR}}left( {text{fit}} right)}} left( n right) times I_{{{text{NIRS3}}left( {text{infragold}} right)}} left( n right) - I_{{{text{NIRS}}3left( {text{meteorite}} right)}} left( n right) (4).
We also denote the demand for electricity from all customers on day (n in aleph) as (Dleft( n right) = left[ {d_{1} left( n right),d_{2} left( n right), ldots,d_{h} left( n right), ldots,d_{H} left( n right)} right]) where (d_{h} left( n right)) is the load demand from customers at hour (h in {mathcal{H}}) on day (n).
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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