• 3 Posts
  • 63 Comments
Joined 3 years ago
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Cake day: June 22nd, 2023

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  • I’d DIY it (maybe with FreeNAS, about which I know nothing) instead of buying a proprietary NAS in a box. What’s the point of self-hosting if you’re going to be at the mercy of someone else’s software anyway? If you’re DIY’ing, there are 3.5" drive enclosures with soundproofing stuff in them that should keep the drive pretty quiet. Or if you can afford enough SSD’s for your storage requirements, then use those.




  • I’ve bought most of mine on craiglist but either way you sort of have to know what you’re doing. I’d say just sort by price and scroll through the results in the range you want to pay. You might also filter on “within 25 miles” or whatever, and get a unit that you can pick up in person. Or at least, try to talk to the person on the phone to get a sense that they know what it is that they are selling.

    Thinkpads forum is still around and has a forsale section. It has slowed down but is still active:

    https://forum.thinkpads.com/viewforum.php?f=11

    I’ve bought stuff from there in the distant past.



  • Thanks, it is kind of intriguing though I keep telling myself to just use normal Linux stuff instead of Android. I’d want the 14 inch one which is around $300. Is there any trouble installing F-droid and apps from there?

    Alternatives I’m thinking of include Lenovo Yoga laptop (16 inch) and a Raspberry Pi thing with an HDMI monitor (that would be plug-in only but I mostly read at home).



  • I see, yeah there is something about it in the blurb. How do you like the tablet? Is it responsive? Is it full of Android bloatware? Do you know if it is rootable?

    I see there is a 14 inch version that’s about $300 and that starts to get interesting. It’s not “2nd gen” though. And, I had thought of TCL as a lower tier manufacturer with quality issues, but I hadn’t looked into it much.

    I like that the tablet has an SD (probably microSD) slot. Don’t like that there’s no headphone jack. There’s plenty of space in those things compared to a phone.




  • Abstract

    Sleep is a fundamental part of our lives; yet, how our brain falls asleep remains one of the most enduring mysteries of neuroscience. Here we report a new conceptual framework to analyze and model this phenomenon. The framework represents the changes in brain electroencephalogram activity during the transition into sleep as a trajectory in a normalized feature space. We use the framework to show that the brain’s wake-to-sleep transition follows bifurcation dynamics with a distinct tipping point preceded by a critical slowing down. We validate the bifurcation dynamics in two independent datasets, which include more than 1,000 human participants. Finally, we demonstrate the framework’s utility by predicting a person’s progression into sleep in real time with seconds temporal resolution and over 0.95 average accuracy.