front end - How to add named characters to Mathematica 10 or later?

Any news regarding this for Mathematica 12?

It appears that native support for the Klingon alphabet has been removed from version 10:

\[KlingonA]

Syntax::tsntxi: "\"!(\[ KlingonA])\" is incomplete; more input is needed.!(\"\")"

(Curiously "Klingon" remains in the $CharacterEncodings list.)

As an exercise I wish to restore support of this character set but the underlying character system has been modified; specifically I cannot find the UnicodeFontMapping.tr file and I assume it no longer exists. Quoting TechnicalNotes.nb found in the Prerelease folder:

On all systems, the Mathematica family of fonts (Mathematica*1-7) has been replaced with a single Mathematica font.

On Windows, the single Mathematica font is no longer installed under "c:\windows\fonts". Instead, the user interface loads the font from the installation directory.

For prerelease testing, we are interested in learning about any issues related to this change.

UnicodeCharacters.tr does remain (path given by System`Dump`unicodeCharactersTR) and the format appears unchanged so I should be able to restore recognition of \[KlingonA] etc., but without being able to map these characters to font glyphs that is largely pointless. (Though it would correct unrecognized syntax in legacy code.)

How can one create named characters and bind them to specific glyphs in v10 or v11?

Comments

plotting - Plot 4D data with color as 4th dimension

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plotting - Mathematica: 3D plot based on combined 2D graphs

I have several sigmoidal fits to 3 different datasets, with mean fit predictions plus the 95% confidence limits (not symmetrical around the mean) and the actual data. I would now like to show these different 2D plots projected in 3D as in but then using proper perspective. In the link here they give some solutions to combine the plots using isometric perspective, but I would like to use proper 3 point perspective. Any thoughts? Also any way to show the mean points per time point for each series plus or minus the standard error on the mean would be cool too, either using points+vertical bars, or using spheres plus tubes. Below are some test data and the fit function I am using. Note that I am working on a logit(proportion) scale and that the final vertical scale is Log10(percentage). (* some test data *) data = Table[Null, {i, 4}]; data[[1]] = {{1, -5.8}, {2, -5.4}, {3, -0.8}, {4, -0.2}, {5, 4.6}, {1, -6.4}, {2, -5.6}, {3, -0.7}, {4, 0.04}, {5, 1.0}, {1, -6.8}, {2, -4.7}, {3, -1....

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