Here are the per country ratios of different VOC/VOI: https://covariants.org/per-country

It took a while until it became dominant in India, and then a similar pattern repeats in each new country.

[1] https://twitter.com/ArisKatzourakis/status/13904196191696732...

Ioannidis published something extremely controversial (if not even flawed) and one of the main authors he attacked responded with a lengthy explanation so that this manuscript would not remain unchallenged. I found that aspect way more important than the venue of response. Would you prefer to leave Ioannidis' work unchallenged for potentially months instead?

[1] https://twitter.com/GidMK/status/1376304539897237508 [2] https://twitter.com/AtomsksSanakan/status/137593538213983437...

I think we should be more kind to our ancestors. Just because they lived in fucked up times, compared to our current standards, does not mean they experienced a different quality of suffering.

Once supply is secured everyone should be educated about correct use and be encouraged to wear them.

Most of Asia already has a culture of wearing masks and existing supply chains. Europe/US did not and it takes a while to establish.

People keep spreading the malthusian myth of overpopulation and shifting blame to the poorest. Blaming the poor while giving the rich a free pass is not only unfair, it’s cruel.

Once climate change denialism is not tenable anymore, climate change will be instrumentalized for atrocities.

Our new HPC system will mostly consist of Epyc 7742, but having one node with super high single-thread performance would be nice for less well parallelized applications.

https://blogs.microsoft.com/on-the-issues/2019/09/22/ambitio...

The value of their actions seems pretty clear cut.

300$/ton * 8.65kg = 2.6$ per gallon (0.6$ per liter)

100$/ton * 8.65kg = 0.87$ (0.23$ per liter)

30$/ton * 8.65kg = 0.26$ (0.07$ per liter)

7 cent per liter seems quite acceptable. And people are reporting that some companies are targeting that price point for sequestration. Please correct my if I miscalculated something.

In this article the patent applications are disclosed in the Competing Interests section. The readers can draw their own conclusions from those. It would be very unusual for a journal to not demand a declaration of conflicting interests.

In this case human the identifier of human is 9606, all kinds of stuff about the human can be queried through this ID. All fungi are classified somewhere under the node 4751. (Even though this website looks awful, its one of the better and most useful resources of the NCBI.)

However this whole taxonomy business is a pretty difficult issue. According to the article, fungal research is (was?) wasting time on morphology. However, even though taxonomic classification through phylogeny is probably a massive improvement, it doesn't solve all issues. In this framework a species is usually defined by some sequence identity cutoff of ultra conserved proteins in the genome. This works probably pretty well for for most eukaryots, however becomes somewhat of an odd measure for bacteria, where two of the same bacteria can have a very low sequence identity of highly conserved proteins. Then you also have another issue, that once you want to classify a new organism, you might only find contaminated, miss classified or in any other way bad entries in the reference databases. Morphology as a sanity check probably makes sense.

Its a big field with a lot of different trade-offs trying to be united under one umbrella. There are no silver bullets.

I use it a lot in our scientific cluster environment. My User home directory contains a linuxbrew installation and is shared over NFS. Every cluster node can access all linuxbrew software.

It beats central coordination with the administrators, or writing module files for the cluster environment by a lot.

A cp -r $HOME/.linuxbrew $HOME/.linuxbrew.bak && brew potentially-destructive-operation is also super useful.

Packages are also very close to the latest version.

You get all the work people did got MacOS on Linux.

For package developers, their recipe system is really good and easy.

Of course, a transactional package Manager like nix or guix that can also run inside a user-directory would also give most of these advantages, but I am already used to brew from my MacBook, no additional learning effort required.

Its amazing how much hardware you can pack into a single machine for 10k€. Last year our group bought two additional high-memory (768GB) nodes for around that price each (including support for a couple years from the vendor).

A few years before we bought 40 nodes with 128GB RAM each, for a similar price to last years high-memory nodes (and a fast interconnect and a lot of storage).

If you are at a larger research institution, you probably also have an IT department that can co-locate your hardware for next to nothing (compared to cloud). There you also will save a lot of ingress/egress, storage, backup, etc. costs.

Regarding the per student costs, even with cloud instances I would consider running a traditional HPC job system (grid engine, lsf, torque, ...). The MIT had a nice solution with Starcluster [1] to easily deploy a SGE on AWS. It looks a bit dead now though.

[1] http://star.mit.edu/cluster/

APL, as an array language, should, in theory at least, especially profit from automatic vectorization by the compiler. If the auto-vectorization works well, you get get a 4-16x speed-up for free (if you don't have data dependencies).

Just to expand on this point a book: In Germany you buy fluoridated salt (you can also buy non fluoridated salt, you have the choice, no idea why you would do that though). Children and people with dental problems also can get fluoridated toothpaste.

I think this fluoridation thing is a non-issue in Germany, never heard anyone talk about it at least . Also I think the salt solution is a lot more elegant than the tap water one in the US.