mlu

I got this year's signature and am pretty much pleased with it. I'd like to have GrapheneOS for it, too. But I guess, hardware (or marketing) is incompatible.

Sci-hub is great! I'm a researcher and use it multiple times a week. I wonder how it works - any insights?

/r/iamverysmart

Why did they let the people decide in a direct referendum in the first place? That seems like a terrible idea for such a complex matter.

For me personally, that's sad and good news at the same time. After school, I did a 3-year training in a company and basically learned all my programming skills from using WebObjects in enterprise applications. Somehow it felt ancient already back then (around 2007). But I learned to like it a lot. Nowadays there are much more modern and mostly streamlined web frameworks...in contrast to the huge bulk of components WebObjects brought with it. Now, I wonder what my old company will do now. As far as I know, they're still using it.

Thanks for the blog article. My laptop hardware is quite similar to yours. I might give FreeBSD a try again!

Thanks for the detailed answer. I'm certainly going to have a look!

What are the limitations of the Linux compability layer?

I know FreeBSD (or *BSD in general) is still used heavily in server environments.

Is anyone using it on the desktop as well?

I always wanted to give it a try, but then I'm hesitant because of lacking hardware support. I remember struggling with Intel KMS support in one of the earlier releases. Is this still a problem?

This is the result what one would expect. Scientists (until recently) have only been able to sequence species which can be cultured in the laboratory (you need massive amounts of DNA for sequencing). But in fact, more than 90 percent of all microbial species cannot be cultured in the lab and hence (until recently) could not be sequenced and stayed unknown. However, in the past few years, "Next next generation sequencing" (that's how I like to call it) techniques emerged and we are now able to sequence nearly everything. The umbrella terms "metagenomics" and "single-cell sequencing" are often used for such new methods and have huuuge potential in many, many fields. Basically, the new methods eliminate the culturing step and instead have novel techniques for amplifying DNA from only a single strand.

This looks great! I used Julia in my Master's thesis and it was very fast and easy to use. One thing however was annoying: The lack of shared memory parallel computing. Unfortunately, in Julia, each parallel process has its own memory such that you have to keep multiple instances of your data and/or move data around all the time. This can be a deal breaker if working with very large data sets and actually is preventing me from using Julia even more. But I'm sure, it's on the right track.

I don't get the point why someone would learn a new keyboard layout.

- It is very hard to learn since muscle memory is very difficult to change.

- I think it would take me a while to be as fast as on my current layout QWERT[ZY].

- I see no real advantage for learning a new keyboard layout. None of my friends and coworkers ever complained about keyboard layout and the urge to change it.

- When you want to get things done, learning a new layout would be the last thing you want.

- You may not have your new keyboard layout available at different workplaces.

So I think this is just a hipster thing. Prove me wrong :)