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They found the most viral RNA in the olfactory mucosa, the lining at the top of the nasal cavity. In part because of its close proximity to the brain, the researchers think the olfactory mucosa is the most likely “port of entry” into the central nervous system. Some brain cells project into the olfactory mucosa, and these may act like highways for the virus to travel further into the brain, once it has crossed over from the nose.

http://go.acaps.cat/vac/Video-Al-Rayyan-Al-Gharafa-v-en-gb-1upd30122020-24.php

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gation led by the Halton Regional Police determined that Cindy never had CIDP, and she was never dying. She managed to dupe a couple of unwitting close friends into helping her fool hundreds of people online, they found, but the internet — including the platforms she utilized and the ease of creating an online community of supporters who had no firsthand knowledge of Cindy’s illness — really did most of the work.

You can find the raw data produced by these tests in this Google Sheet; the raw output of GCBurn and YetAnotherStupidBenchmark could be found in their repositories — see “/results” folder there.

const RocketShipFactory = (c) => { const color = c return { fly: () => console.log(`The ${color} rocketship has launched.`), land: () => console.log(`The ${color} rocketship has landed.`) } }

const RocketShipFactory = (c) => { const color = c return { fly: () => console.log(`The ${color} rocketship has launched.`), land: () => console.log(`The ${color} rocketship has landed.`) } }

This is how RAM usage changed for the only service (a tiny one) we migrated to .NET 5 so far. As you see, it’s dropped by more than 2x. This is certainly quite motivating, so I hope to write another post with more of production data soon.

It’s well known that Covid-19 is primarily a respiratory disease, but it has significant effects on other realms of the body, too. Its impact on the brain has garnered a lot of attention: The nausea, vomiting, headache, fatigue, and loss of smell and taste experienced by a third of people with Covid-19 could all be considered neurological symptoms.

Research published Monday in the journal Nature Neuroscience sheds light on how SARS-CoV-2 may do so. A team led by Helena Radbruch, PhD, and Frank L. Heppner, PhD, of the Charité–Universitätsmedizin Berlin examined the bodies of 33 people who had died of Covid-19 and concluded that the virus likely entered the brain through the nose.

Originally written to compare .NET and Go garbage collection and peak allocation performance. I’ll focus only on allocations here, because all other metrics are pretty similar (though you’re welcome to compare the raw output).

The brain — which is part of the central nervous system, together with the spinal cord — is relatively well protected from invaders. The blood-brain barrier, for example, is a semipermeable membrane that allows beneficial nutrients circulating in the blood to reach the brain but keeps pathogens out. When a virus manages to reach the brain, it’s worth noting and asking how.

They detected viral RNA in the brain and the nasopharynx, the upper region of the throat that connects to the nasal cavity (and is also where viral infection and replication is first thought to take place). Bordered on the bottom by the roof of the mouth and on the top by the space that holds the brain, the nasal cavity is the mound-shaped enclosure that makes the inside of the nose.

It worth saying that GCBurn is definitely the least useful one among these tests: it runs the code you’ll hardly ever see in production. Its goal is to turn memory allocator and GC into a bottleneck to measure their efficiency, but in reality this never happens, and moreover, even if you hit e.g. memory allocator performance limit, you have a number of workarounds to address this.

You can find the raw data produced by these tests in this Google Sheet; the raw output of GCBurn and YetAnotherStupidBenchmark could be found in their repositories — see “/results” folder there.

I had to exclude 75% RAM static set result from the chart — the 110M ops/s for .NET Core 3.1 there is way off from everything else, and I didn’t have enough time to find out why, though my guess is: somehow one extra full GCs were triggered during this test (it takes ~ 5s on ~ 50GB heap).

But there is a significant leap between C (74ms) and .NET (93ms) on the same test on Ryzen Threadripper. And since it’s almost identical SIMD code, I’m unsure what to blame here. If you know — please share this in comments.