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Indeed, when change detection was embedded within the TEWA task, correct detections were indexed by the timely actions made on the changed aircraft.
Thus, in this short version of the task, correct rejections of new items were less susceptible to the confederates' responses as long as they were non-uniform.
The key finding from the encoding/retrieval task was a significant negative correlation between the suspiciousness/persecution score and activation in the bilateral MTL for the retrieval task (correct rejection versus experimental baseline activation, right p = 0.013, left p = 0.022), Figure 3b.
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Mean precision on the three-item VWM task, corrected for sensorimotor precision and standardized within each year group, accounted for a significant proportion of variance in FSIQe (radj =.126, p =.001; Figure 6).
The [oxy-Hb] results showed significant difference in activation (LH > RH) for both the high-frequency L1 (corrected P < 0.01) and L2 (corrected P < 0.05) word tasks (Fig. 5 C ), and the [deoxy-Hb] results showed significant difference in activation (LH > RH) for the high-frequency L1 word task (corrected p < 0.05) (Fig. 5 C ′).
The difference was not statistically significant for copy tasks, but it was significant for memory tasks: correct score difference X 2 (2, N = 56) = 4.24, p = .012, and error score difference X 2 (2, N = 56) = 4.41, p = .038.038
Through a series of six iterative steps - from needs assessment to implementation and evaluation - which are each broken down into specific tasks, correct application of the protocol is meant to produce behavior change interventions that fit into the local context and that have the best chances of effectiveness.
The final factor had four scores from the two maze tasks (correct moves per second and total errors for both Maze Learning and Maze Chase each) which was labelled Maze Chase and Learning (Additional file 1: Table S2).
Its character of correcting dense error is inherently suited for solving the tough task to correct dense "propagated error" in network coding.
It can be more challenging in the much harder task of correct identification of protein domain fold pattern solely through using extracted information from protein sequence.
In fact, it seems that one must prove that (mathbf{u}(t)) never gets close to (mathbf {u}_{theta}) for (t>0)—a herculean task, if correct.
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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