I'm on academia dot edu. Even though many don't consider that to be a meaningful institution, I have to congratulate them on snagging that domain. For that alone, they deserve some applause.
Anyway, of the papers I share through that venue (channel), probably the one getting the most attention is Calculus with Python, which is short and pithy.
In that paper, a account as a shortcoming (to overcome) in most calculus intros that they eschew the Bell Curve, the Gaussian, the Normal Curve, because it's not easily integrable, no matter that area under that curve is the bread and butter of a whole branch of maths: data science.
Since that paper has been in circulation, we've seen some advances in some curricula, where tackling the integration of the Bell Curve, in a relatively simple manner, is accomplished. I've seen the calculations popularized on the Numberphile channel. Textbook authors have more to go on in popular culture how.
In other words, everything I write about tends to be a moving target. However, from that it doesn't follow that I need to remove my record of "aimed and fired" i.e. the debugging I was proposing may have happened since then, so let's applaud those improvements and move on.
