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For decision-making tasks, we assumed 1) discrete time step t at which the subject is required to make decision, 2) a finite number of fixed options (a = 1, 2,.., n) available for the subject at every time step, and 3) a scalar amount of reward given to the subject at every time step.
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3 A preliminary analysis showed that PINP exceeded the upper limit of the normal range (79.1 μg/L) at least one time point during teriparatide treatment in >80% of subjects and at every time point in >20% of subjects.
All have lower expression in insulin-resistant as compared to insulin-sensitive subjects, consistently at every time point (p < 0.05).
(d) Mean frequency of spontaneous synaptic events for active neurons derived from CTR (4 subjects, n>40 cells at every time point), AS subjects (3 subjects, n>35 cells at every time point) and UBE3A KO (1 line; n>15 cells at every time point).
(c) Percent of synaptically active neurons (event frequency >0.2 Hz) derived from CTR (4 subjects, n>60 cells at every time point), AS subjects (3 subjects, n>40 cells at every time point) and UBE3A KO (1 line; n>40 cells at every time point) during development.
Aquinas and the others who held to his view recognized that a demonstrable attribute in a natural thing would have to be a potentiality, though, of course, an actuality could be demonstrated in a mathematical demonstration, where efficient causation is not at issue, and an occurrent attribute can be shown to inhere in the subject necessarily and at every time.
The nine photobombers below are special in that they interrupted pictures we've all been subject to looking at every time someone you know returns from vacation.
For each subject at every week the time dependent binary covariate x ij was generated as a Bernoulli variable with probability = 0.03 (of all weekly average LRT scores in DAVIS data for about 3% viral infection variable was positive).
Subject-specific weights at every time point can be computed simply as inverse of this "cumulative" probability.
The mean amplitude values for every subject at each time point were subjected to three-way ANOVA.
Results indicate FD (mean framewise displacements, mean of root of mean square frame-to-frame head motions assuming 50 mm head radius) for all subjects were <0.3 mm at every time point.
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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