Whenever you see a "high-fat diet" study, you can usually translate that to "hypercaloric diet" study, and this one is no exception.
One fly food was 8% glucose (.308 kcal/g) and the other was 8% glucose + 20% coconut oil (.308 kcal/g + .7136 kcal/g = 1.0216 kcal/g) leaving the high-fat arm with 332% of the caloric density of the standard fly food diet. The discrepancy clouds how much of the observed effect is due to the coconut oil, and how much is due to the difference in caloric density.
I looked into how well fruit flies self-regulate caloric consumption, but all that I could find was related to carbohydrates and protein. It would seem that fruit flies don't typically eat much in the way of fats, presenting another confounder in the results.
I’m curious if you consulted with an attorney about that? I’ve heard the opposite from people looking to move from Chicago to CA. Does your former employer have a nexus in CA?
Using Florida as an example, if your contract was signed in Florida, your former employer is in Florida, and your case is tried in Florida, the courts aren’t going to pay any regard to California law, and you can be found liable for breach of contract and damages. Correct me if I’m wrong.
SB 699 (passed in 2024) made noncompetes illegal to enforce against against California workers, regardless of where the noncompete was signed. It's very unambiguous on the topic. However, as you correctly pointed out, that involves getting your case in front of a California judge, which you best bet the company suing you for violation of your noncompete is going to do their damndest to avoid.
However, under the wording of SB 699, even if you get sued for violating your noncompete in, say, Michigan, and lose, you can then sue that company, in California courts, and as long as California has jurisdiction (which they probably do, given most businesses don't completely avoid doing business in the largest economy in the country), you can successfully sue them for suing you over the noncompete.
I have been wanting to get my genome sequenced for years, and had been thinking 23andme might be one of the better options because of the possibility of invoking the CCPA to get my data deleted after sequencing. Never did it because I wonder if they sell your info to some third party the second it comes off the sequencer, and also because I'm skeptical that they would fully comply with a deletion request.
For people who would like to get their DNA sequenced but are actually concerned about privacy, are there any better options?
I guess it's just my programming instincts, but I just immediately think of the possible worst case scenarios and how strong are the guarantees they're prevented.
Dividing by X? I immediately think what if X is zero. Dereferencing X.Y ? I think what if X is null / nil. And so on.
So when it came to the DNA, I was hesitant to do it, since your DNA can wind up in all kinds of databases. And it turns out I was probably right.
What you could have done is sent in the information anonymously, or under a fictitious name. You can still use an email address and log in and see the results. Or you could use someone else's name from another country (with their permission), but then if that person ever gets in trouble, the DNA evidence might somehow implicate you (such as the guy with the last name NULL who got a lot of parking tickets LOL). A couple months ago I actually did submit with heritage.com and 23andme for a friend, so I think there was no place where you had to provide ID or something.
"Sequencing" make it sound like you want 100% of your SNPs scanned, that is not something that 23andme does afaik.
This is a "shotgun" chip approach which sparsely samples your genes in an economic way. They will concentrate on areas of more interest and so on, in a way that is useful for genealogy for example.
A decade ago robotic arms like the ones in the video would have cost thousands - if one that small and simple were available at all without bespoke development. Now they’re a cheap kit and go up to six DoF and all kinds of end affectors.
There are now too many to mention and you can but some off Amazon for under $150 (I’m used to Staublis and Fanucs at work so I don’t know which cheap ones are best). None of them are easily programmable. They’re easy to control but making them do the physical action you want is a lot harder - most of the time it’s literally a bunch of instructions like “turn motor 1 23 degrees clockwise” that’s carefully tested to be repeatable. That’s been a problem in industrial automation since they first came out.
That’s why transformers are interesting in robotics, there’s been quite a bit of research (much of it popping up on the HN front page) about using transformers model to control the robot. Hopefully there will be a big breakthrough here in the next few years and robotic arms become easier to use.
For anyone interested in on-the-wrist blood pressure tracking who doesn't want to spend the money on a Samsung Galaxy and hack SHMs, or wait for Apple to implement it, there are a plethora of Chinese smartwatches that already have the blood pressure monitoring and calibration capability that can be had for < $15.
My experience with them is that although I wouldn't trust these to diagnose a medical condition, the trends are correct and correlate to cuff readings - they're not just random number generators.
I just wish there were a way to export the data from the H Band app. Apparently, the data is stored in SQLite files.
Were the people with high BMIs actually on a high-fat diet? The premise here is that mice fed a high-fat diet serve as a model for people with a high BMI, but any hypercaloric diet will lead to a high BMI.
The original justification that Nvidia gave for removing Nvlink from the consumer grade lineup was that PCIe 5 would be fast enough. They then went on to release the 40xx series without PCIe 5 and P2P support. Good to see at least half of the equation being completed for them, but I can’t imagine they’ll allow this in the next gen firmware.
One fly food was 8% glucose (.308 kcal/g) and the other was 8% glucose + 20% coconut oil (.308 kcal/g + .7136 kcal/g = 1.0216 kcal/g) leaving the high-fat arm with 332% of the caloric density of the standard fly food diet. The discrepancy clouds how much of the observed effect is due to the coconut oil, and how much is due to the difference in caloric density.
I looked into how well fruit flies self-regulate caloric consumption, but all that I could find was related to carbohydrates and protein. It would seem that fruit flies don't typically eat much in the way of fats, presenting another confounder in the results.