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At the syntactic level, we read X ⊢ A as processing on X generates information of type A. In this case we are understanding ⊢ as an information processing mechanism as suggested by Wansing (1993: 16), such that ⊢ encodes not just the output of an information processing procedure, but the properties of the procedure itself.
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Our data processing procedure was therefore as follows.
Details on the data processing procedures are provided in the Supporting Information, SI-8.
Two data processing procedures are shown in Figure 3.
For example, while we generated log data for CBA that can supply information on processing procedures and times, such information is not available for the PBA, and so a comparison is not possible.
A typical WHSNS architecture which includes sensing subsystems and a backend server group is introduced in this research, and a system procedure for information processing of health analysis and prediction is also proposed.
The present study attempted this by combining, first, a parametric method to vary the level of cognitive relative to motor demands required to perform two separate information processing tasks, and second, a brain stimulation procedure to modulate cerebellar function.
Using software leads to more systematic analysis procedures and guards against information processing biases, as such improving the validity and reliability of the study [ 52, 54].
These are procedures designed to directly target information processing biases in order to observe the effects on subsequent mood and behaviour, and they therefore allow a test of causal hypotheses concerning the contributions of selective information processing to individual differences.
Furthermore, this procedure allowed reliable comparison of haptic information processing with the reference task of pure manipulation, i.e. sensory-guided motor activity without a cognitive load.
In MANETs, the requirement of self-organized information processing for mobile members can be satisfied if the grouping procedure is finished as quickly as possible; what is more, a sensitive grouping algorithm can contribute to reduce the redundant information generated by the group re-establishment procedure caused by node mobility.
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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