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Box-drawing characters, also known as line-drawing characters, are a form of semigraphics widely used in text user interfaces to draw various geometric frames and boxes. These characters are characterized by being designed to be connected horizontally and/or vertically with adjacent characters, which requires proper alignment.
Typography utilized to characterize text: Typography is intended to reveal the character of the text. Through the use of typography, a body of text can instantaneously reveal the mood the author intends to convey to its readers. The message that a body of text conveys has a direct relationship with the typeface that is chosen.
[13] [f] Thus, the additional ligatures that are required for Fraktur typefaces will not be encoded in Unicode: support for these ligatures is a font engineering issue left up to font developers. [14] There are, however, two sets of Fraktur symbols in the Unicode blocks of Mathematical Alphanumeric Symbols, Letterlike Symbols, and Latin Extended-E.
After its release in 1922, Cooper Black quickly became a popular typeface for use in advertising, especially in newspapers. [12] Although its use in advertising declined in the 1960s, it became much more popular in pop culture after appearing on the cover art for the 1966 album Pet Sounds by The Beach Boys. [13]
An interpretation of digital rain. Matrix digital rain, or Matrix code, is the computer code featured in the Ghost in the Shell series and the Matrix series.The falling green code is a way of representing the activity of the simulated reality environment of the Matrix on screen by kinetic typography.
Header cells typically render differently from regular cells, depending on the browser. They are often rendered in a bold font and centered. If this rendering is not desired from an aesthetic point of view, the table can be styled with the "plainrowheaders" class which left-aligns the
Judging beauty and other aesthetic qualities is a highly subjective task. Computer scientists at Penn State treat the challenge of automatically inferring the aesthetic quality of pictures using their visual content as a machine learning problem, with a peer-rated on-line photo sharing website as a data source. [ 45 ]
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