"Conclusions: This meta-analysis confirmed that skipping breakfast is associated with overweight/obesity, and skipping breakfast increases the risk of overweight/obesity. The results of cohort studies and cross-sectional studies are consistent. There is no significant difference in these results among different ages, gender, regions, and economic conditions."
People seem to be misunderstanding this paper. It doesn't claim that any previous papers have overestimated contamination. That would only happen if scientists didn't routinely use blanks as a comparison, which they do.
E.g. "A procedural filter blank was created during each sample batch and analysed alongside the samples, to enumerate potential contamination that could have been introduced during the extraction process."
Sorry for not being clear enough. The point is that this £100M is very likely to be spent on the Turing Institute since it seems to suck up all AI funding in the UK. It will therefore likely be wasted.
That's a good point. Thank you. Officially the open source model was released by the Ludwig Maximilian University of Munich’s CompVis lab. I agree that's something of a technicality.
Of course there are pockets of good work, like in any research institute. It's difficult to point to anything really pushing the envelope in AI research though. You have any evidence to the contrary?
I hate the fact that hosts are allowed to cancel at the last minute, completely spoiling your holiday. You can't leave a review to warn other users.
It's open to abuse. We've been screwed over by hosts who cancel at the last minute (eg they couldn't find anywhere else to stay). There's literally nothing you can do.
Evolution AI (AI data extraction from financial documents) are looking to hire someone for applied deep learning research. Must like a challenge. Any background but needs to know how to do research properly. Contact [email protected]
There is good evidence that breastfeeding is protective against Sudden Infant Death Syndrome. There is a dose-response relationship, which is good evidence for causality.
The risk is cut by about half, depending on how long breastfeeding continued for. This effect is not explained by socioeconomic factors.
https://pubmed.ncbi.nlm.nih.gov/31918985/