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It has been assumed theoretically and established empirically that text signals exert an influence on text memorization and comprehension.
Text signals "attempt to pre-announce or emphasize a specific part of a document and/or reveal content relationship" [3, 4].
Although TtS is considered a mature technology, current TtS systems do not include effective provision of the semantics and the cognitive aspects of the visual (e.g., typographic attributes) and non-visual (e.g., logical layer) text signals [12].
An important clue that is shared by abbreviation-detection methods is the presence of parenthetical text and the assumption that parenthetical text signals the presence of an abbreviation definition.
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We also develop trading strategies using our text signal and find that using the text signal generates economically significant returns.
Using a novel text analysis methodology, we transform analysts' qualitative statements into a content-based text signal.
Importantly, to increase our understanding of factors associated with favorable rating quality, we disaggregate the text signal into five discrete information categories.
All text signaling devices, either mentioned as typographic attributes/cues, signals or layers, according to Lorch [2]: "a) share the goal of directing the reader's attention during reading, b) facilitate the specific cognitive process occurring during reading, c) ultimate comprehension of text information, d) may influence memory on text and e) direct selective access between and within texts".
Triana [15] is a decade proven visual programming environment, focusing on minimum effort, that allows users to compose applications from programming components (drawn from a large library on text, signal and image processing) by drag and drop into a workspace, and connecting them in a workflow graph.
For the purposes of assisting users of the data, patients are prioritized in terms of criticality in this list view using a red color gradient: gray text signaling non-critical patients, and bright red for the most critical [ 15].
You could even use a phone text signal - if the place is noisy, have the phone call receiver set their phone to vibration.
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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