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where S d ij represents the score assigned by the j-th subject to the i-th distorted image, while So ij the score of the reference image corresponding to the i-th distorted image; j=1,…,J, denotes subjects belonging to the group of J individuals, and i=1,…,S×T denotes the distorted image, with S number of reference images, and T number of algorithms to be evaluated.
Two thirds of the medication used was analgesics.> -wrap-foot> CON denotes healthy controls) and TM denotes subjects with trapezius myalgia; these data has been reported earlier [ 25].
One denotes subjects (agents, processes, and officers), one denotes objects (files, directories, databases, and applications), one denotes actions (read, write, execute, and not access), and another denotes constraints (roles).
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In what follows i denotes study subjects (i = 1, 2, 3,..., 101), and t denotes visits (t = 1, 2, 3).
The model for the between-group estimates of the effect of improved stoves on BP is where i denotes subject and j denotes the repeated measures within subjects.
Ever-smokers denote subjects who had smoked for some period of their life or still smoke (ex-smokers + current smokers).
When reporting results we will refer to clinical diagnostic category (cognitively normal versus amnestic MCI versus Alzheimer's disease) as clinical 'group' and will denote subjects from Mayo and ADNI as coming from different ' sources'.
T can also be specific to each user (it is shown as T i where i denotes the subject number).
Now we let V(Z i,A i ) denote the subjects in V with values of (Z,A) equal to (Z i,A i ), n V (Z i,A i ) the number of subjects in V(Z i,A i ), and n(Z i,A i ) the number of subjects in the sample with values of (Z,A) equal to (Z i,A i ).
The estimator β ̂ A 3 has similar double robust property as β ̂ A 2. Let V(X i,A i ) denote the subjects in V with values of (X,A) equal to (X i,A i ), n V (X i,A i ) the number of subjects in V X i,A i ), and n(X i,A i ) the number of subjects with values of (X,A) equal to (X i,A i ).
For each individual i = 1,..,N, the vector Gi = (Gi1,..,GiL) denotes the subject's genotypes at the L loci, l = 1., with Gil indicating the number of minor alleles at locus l for individual i and Gil∈{0,1,2}.
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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