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Review papers. If you’re trying to learn to write better papers it can feel like a sensible strategy to look at many good papers and try to distill patterns. This turns out to not be the best strategy; it’s analogous to only receiving positive examples for a binary classification problem. What you really want is to also have exposure to a large number of bad papers and one way to get this is by reviewing papers. Most good conferences have an acceptance rate of about 25% so most papers you’ll review are bad, which will allow you to build a powerful binary classifier. You’ll read through a bad paper and realize how unclear it is, or how it doesn’t define it’s variables, how vague and abstract its intro is, or how it dives in to the details too quickly, and you’ll learn to avoid the same pitfalls in your own papers. Another related valuable experience is to attend (or form) journal clubs - you’ll see experienced researchers critique papers and get an impression for how your own papers will be analyzed by others.

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Pepers adds that since the company switched to a four-day week "staff sickness is down, and retention is up". But she says that the idea was initially a hard sell.

Tested on Debian GNU/Linux 12. Note that this Debian version ships with ruby version 3, while fontcustom was written for ruby version 2, and is incompatible with later versions (e.g. syntax errors). A ruby install also requires a compatible OpenSSL version. Therefore, RVM can be used to manage both ruby and a local install of OpenSSL.

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