No typo- it is an the old "classic way" of writing Scientific notation see for example: http://albert-cordova.com/_science/exponent.html
10E-4 t is 0,0001 torr or 0.1 microns.
Notice many high vacuum gauges use the notation: https://mse.ndhu.edu.tw/ezfile…ST18-U8-pressuregauge.pdf
It seems you are living in the virtual computer world of notation and not in real life laboratory world.
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Whatever world I am living in, 10e-4 is not normalized. And this comes from the days of Fortran II (1958) and surely even if you are oldguy, your use of this convention doesn't predate 1958. The convention carried thru to today in all languages for their default display.
The mantissa is suppose to be between 1.000... and 9.999... and 10>9.999... I don't see any non-normalized numbers in Ming-Show Wong's 2018 paper that you cited, and regardless, it is non-standard and thus confusing. The Tracy Albert html page on "exponential notation" you cited is not any standard that exists and therefore is wrong (showing all non-normalized non-standard "scientific notation") and would needlessly confuse any high schooler learning scientific notation. What Mr. Albert means when he shows an "E" is the "^" which on ASCII is the way to write an exponent, thus 1.0*10e-1 should b 1.0*10^-1 which if he had a non-ascii character set would be 1.0*10-1.
The correct way of displaying what it is I think you mean by 10E-4 is:
10-4 = 0.0001 = 1/10000 = 1e-4.
See:
https://www.quora.com/What-does-1e-4-stand-for
Modern computer languages do the same:
R:
> .0001
[1] 1e-04
Python:
>>> 1e-4
0.0001
>>> 10e-4
0.001
Wikipedia:
https://en.wikipedia.org/wiki/Scientific_notation
Quoting the Wikipedia:
Normalized notation
Main article: Normalized number
Any given real number can be written in the form m×10n in many ways: for example, 350 can be written as 3.5×102 or 35×101 or 350×100.
In normalized scientific notation (called "standard form" in the UK), the exponent n is chosen so that the absolute value of m remains at least one but less than ten (1 ≤ |m| < 10). Thus 350 is written as 3.5×102. This form allows easy comparison of numbers, as the exponent n gives the number's order of magnitude. In normalized notation, the exponent n is negative for a number with absolute value between 0 and 1 (e.g. 0.5 is written as 5×10−1). The 10 and exponent are often omitted when the exponent is 0.
Normalized scientific form is the typical form of expression of large numbers in many fields, unless an unnormalized form, such as engineering notation, is desired. Normalized scientific notation is often called exponential notation—although the latter term is more general and also applies when m is not restricted to the range 1 to 10 (as in engineering notation for instance) and to bases other than 10 (for example, 3.15×220).
E-notation
A calculator display showing the Avogadro constant in E-notation
Most calculators and many computer programs present very large and very small results in scientific notation, typically invoked by a key labelled EXP (for exponent), EEX (for enter exponent), EE, EX, E, or ×10x depending on vendor and model. Because superscripted exponents like 107 cannot always be conveniently displayed, the letter E (or e) is often used to represent "times ten raised to the power of" (which would be written as "× 10n") and is followed by the value of the exponent; in other words, for any two real numbers m and n, the usage of "mEn" would indicate a value of m × 10n. In this usage the character e is not related to the mathematical constant e or the exponential function ex (a confusion that is unlikely if scientific notation is represented by a capital E). Although the E stands for exponent, the notation is usually referred to as (scientific) E-notation rather than (scientific) exponential notation. The use of E-notation facilitates data entry and readability in textual communication since it minimizes keystrokes, avoids reduced font sizes and provides a simpler and more concise display, but it is not encouraged in some publications.[3]
Examples and other notations
In most popular programming languages, 6.022E23 (or 6.022e23) is equivalent to 6.022×1023, and 1.6×10−35 would be written 1.6E-35 (e.g. Ada, Analytica, C/C++, FORTRAN (since FORTRAN II as of 1958), MATLAB, Scilab, Perl, Java,[4] Python, Lua, JavaScript, and others).