STAGES (n=30,000)
https://academic.oup.com/sleep/article/41/suppl_1/A124/4988361
Others somewhat smaller
https://sleepdata.org/datasets/hchs (N=16,000; actigraphy but not genomics)
https://sleepdata.org/datasets/mesa (N=6,800; actigraphy but not genomics; strength is longitudinal following)
https://www.nature.com/articles/d41586-021-00530-0
GPT3
QT:{{”
A neural network’s size — and therefore its power — is roughly measured by how many parameters it has. These numbers define the strengths of the connections between neurons. More neurons and more connections means more parameters; GPT-3 has 175 billion. The next-largest language model of its kind has 17 billion (see ‘Larger language models’). (In January, Google released a model with 1.6 trillion parameters, but it’s a ‘sparse’ model, meaning each parameter does less work. In terms of performance, this is equivalent to a ‘dense’ model that has between 10 billion and 100 billion parameters, says William Fedus, a researcher at the University of Montreal, Canada, and Google.)
“}}
Is plain-old asphalt a smart, self-healing material?
https://science.sciencemag.org/content/371/6535/1200
Stumbled onto this paper. Thought the conclusion that Europeans were more cold-sensitive due to TRPM8 was quite counter-intuitive – but interesting nevertheless
https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1007298
cold receptor
Slicker and newer release of “powers of 10” type of video [zooms into flower instead of a person though]:
https://www.youtube.com/watch?v=yvpPHoHh420
The first ~half of this video may be useful:
https://www.youtube.com/watch?v=D2cfP49KOno
Doesn’t include person/organ level, but still a nice demonstration — Structure of a chromosome and zoom in to DNA:
https://www.youtube.com/watch?v=57Q5V0HcIWU
May be useful in the context of basic brain biol:
https://www.youtube.com/watch?v=Zj3RxtJ_Ljc
