USGS uses machine learning to show large lithium potential in Arkansas
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Re: USGS uses machine learning to show large lithium potential in Arkansas
#2Serious question:
Given the mood alerting properties of lithium, are people living here chiller than would be expected (controlling for instance for poverty / SES) ?
Re: USGS uses machine learning to show large lithium potential in Arkansas
#3Serious question: Given the mood alerting properties of lithium, are people living here chiller than would be expected (controlling for instance for poverty / SES) ?
I am not a health researcher or anyting, but a quick googling seems to suggest its possible that it lowers risks of suicide[0] and other affective disorders, which by extension it would lower the rates of issues that can contribute to these issues I'd think.
That said, I honestly am unsure. It also is a requisite that it must be in the water in sufficient but low amounts
Re: USGS uses machine learning to show large lithium potential in Arkansas
#4Love to see a project that uses bog standard ML techniques and doesn't call them AI. Respect.
Re: USGS uses machine learning to show large lithium potential in Arkansas
#5Serious question: Given the mood alerting properties of lithium, are people living here chiller than would be expected (controlling for instance for poverty / SES) ?
The formation is 7000 feet below the surface, if I understand correctly, so I don't think there would be any communication of its brine with potable groundwater.
Re: USGS uses machine learning to show large lithium potential in Arkansas
#6Love to see a project that uses bog standard ML techniques and doesn't call them AI. Respect.
It's the new Hacking vs Cracking. Or calling any computer a PC.
Re: USGS uses machine learning to show large lithium potential in Arkansas
#7Serious question: Given the mood alerting properties of lithium, are people living here chiller than would be expected (controlling for instance for poverty / SES) ?
The formation is 7000 feet below the surface, if I understand correctly, so I don't think there would be any communication of its brine with potable groundwater.
I would like to think that if there were any interaction between theses putative deposits to the groundwater that we wouldn't have needed an ML model to find these deposits in the first place!
Re: USGS uses machine learning to show large lithium potential in Arkansas
#8Serious question: Given the mood alerting properties of lithium, are people living here chiller than would be expected (controlling for instance for poverty / SES) ?
Only when Mercury is in retrograde
Re: USGS uses machine learning to show large lithium potential in Arkansas
#9Serious question: Given the mood alerting properties of lithium, are people living here chiller than would be expected (controlling for instance for poverty / SES) ?
My guess is that the presence of lithium in the groundwater is in trace amounts if at all, while the dosing of lithium is in the domain of ~300mg. A casual search for the quantity of lithium in brine from a mine shows a max of 1400ppm for a rich mine in Chile[1] so drinking straight brine wouldn't get you anywhere near the therapeutic dose. Good question!
[1]: https://www.sciencedirect.com/science/article/abs/pii/S01691...
Re: USGS uses machine learning to show large lithium potential in Arkansas
#10Serious question: Given the mood alerting properties of lithium, are people living here chiller than would be expected (controlling for instance for poverty / SES) ?
My guess is that the presence of lithium in the groundwater is in trace amounts if at all, while the dosing of lithium is in the domain of ~300mg. A casual search for the quantity of lithium in brine from a mine shows a max of 1400ppm for a rich mine in Chile[1] so drinking straight brine wouldn't get you anywhere near the therapeutic dose. Good question! [1]: https://www.sciencedirect.com/science/article/abs/pii/S01…
1400 ppm is one part in 700, so you'd get your dose from one cup (250 ml) of that brine.
I agree it's not likely you'd get a measurable effect from the local groundwater.