If you don’t understand the study itself or in general if you’re interested in it, it’s always a good idea to also read a good news report on it; see this and also this. They found carrot intake rather than beta-carotene, the focus of prior studies, has this association and figure 6 was just to show that they don’t have much data on daily intake of a carrot or more.

Higher accuracy was achieved in an earlier study where another team used large fMRI machines (it was featured in the version for May). There participants listened to audiobooks / speech while being in the large machine; I guess long training would be easier here but it’s more limited since it’s EEG. However, they claim they have exceeded 60% by now.

The study is here.

In 30 prospective studies with 9331 cases reporting plasma α-carotene levels, summary [relative risk] was 0.80.

10% reduction of less frequent intake of carrots seems more robustly backed by the data. Hopefully, some new study provides more info how big of an effect daily carrots have; see Figure 6.

Die Nachrichtenartikel-Quellen musste ich auskommentieren. Die Studien selbst sollten aber normal angezeigt werden. Liegt an dem aktuellem “post-expand include size”-Limit. Habe einige anscheinend überfällige technische Änderungen vorgeschlagen, vermutlich könnte aber auch ohne diese der Wert einfach geändert werden was das Problem lösen würde und wodurch wieder zwei Quellen pro Item angezeigt werden würden.

No, they just added lots of data for one of the multiple things that current emulation efforts (just like neural networks / brain-inspired AI software) so far didn’t even include (neuropeptides).

There’s no reason for why it would now be possible to simulate complex nervous system processes, but maybe this could enable getting closer to that. I don’t know what you mean with “outside behavior” though. Maybe you’re referring to the behavior in some simulation like this?

There are tons of options for that, mainly energy storage such as batteries, hydro, and green hydrogen. Nuclear is not needed and too expensive among other things.

It’s because the education system is utterly outdated across the world. No digital literacy, media literacy, or health literacy in the curriculum but lots of things you’ll never need and forget to never be useful again within a few months. Studies should investigate things relating to this subject.

It’s also because of the quality of search engine results but both are directly linked, people need to learn how to use search engines etc.

Seems like quite some progress in nanobiotech there.

See wetware computer for more info about this. Some studies in “2023 in science” will get integrated there soon, there have been similar recent studies.

Danke für die ausführliche Argumentation. Bis dato ist mir unklar wieso man rational gegen diese Widerspruchslösung sein könnte, von daher ist das sehr interessant. Halte dein Hauptargument aber für falsch:

es würde die Zahl der Spender nicht nur minimal sondern fast maximal erhöhen. Die 13 Fälle, die du hier nennst, beziehen sich ja auf die Fälle, die bei der aktuellen Opt-In-Lösung in Betracht gezogen wurden. Wenn man die Zahlen aktueller frühzeitiger Todesfälle anschaut sind die Zahlen möglicher Spender deutlich höher. Man kann dann beispielsweise direkt die Transplantationsprozesse einleiten (sofern nicht im Opt-Out Register gefunden): entnehmen, konservieren, Empfänger kontaktieren, etc. Die weiteren Probleme die es sicher auch gibt, benötigen zur Lösung dennoch erst mal die Einführung des Opt-In-Systems.

Wenn die Widerspruchslösung so populär ist, dann kann man sie doch einfach einführen. Dann kann man sich danach um die verbleibenden Probleme kümmern, da dieses Problem dann wegfällt und die verbleibenden Probleme einfacher zu lösen sind (d.h. bei Opt-In Systemen kann der Prozentsatz der Fälle “Bis die Entnahmeteams in der richtigen Klinik und die Organe entnommen sind, sind sie längst nicht mehr zu gebrauchen” schnell substanziell reduziert werden).

It’s more or less only (that is mainly) useful for building components that you then use in your man-made tracks. It’s a tool, just like AI image generators are tools albeit there the replacement use-case is substantial. AI-generated voice also needs to be considered in this context I think.

Es ist absolut verantwortungslos und unethisch dass es in Deutschland kein Organspende-by-Default System gibt. Das würde das Problem lösen und jeder der nicht spenden möchte schickt einfach einen Brief oder macht online einen Haken. Ich denke es bedarf nur einer politischen Entscheidung um diese vielen Leben zu retten.

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They are sorted by order of appearance; it’s just 4 links and the two additional ones are the short items of the tile’s image.

Yes (200k–300.000), that’s why it says pre-humans…we didn’t arise out of nowhere, it was a continuous evolution and it seems like if those had died out we wouldn’t be here. (However, that’s not settled, there are substantial reasonable doubts over these results as hinted at with “While alternative explanations are possible” and elaborated in the other comments here.)

Good question, it wasn’t a warming and even if it was, I don’t think it can easily be translated to today’s climate change. They refer to the Early-to-Middle Pleistocene Transition (not much info at that page though). If it’s linked, that doesn’t mean it caused it – I think people in that regard far too often think of (especially singular) causes instead of contributors within a complex interconnected set of causal factors. Maybe you’re interested in this non-included paper from the same month which projects an upcoming large sudden population decline – it’s just not substantiated and one can’t just compare modern humans with other animal populations.

See the papers linked here

Here is the study (it both reduced workload and increased effectiveness), I don’t think you understood what this was about but that’s nothing to criticize with the brevity of text

Thanks, spending many days on going through >2k studies, the criteria-based selection and integrating most of these into Wikipedia (the image itself takes less time). Happy to see it’s appreciated.

Yes, the issue is that many of the most obvious things are not getting researched or substantiated. Moreover, the two studies provide useful data on this. Costs stats

Sadly, many of the most valuable things scientists could investigate are no-shit-sherlock things. These are highly impactful and important studies. I’ve been tracking over a thousand of the top studies per month for over three years, since recently even with extra attention to policy-relevant studies as these are rare and often drown. I could give lots of examples of similar cases such as this recently featured first review of measures to prevent risks from bioresearch/labs or yet unstudied things with nothing to cite.
Maybe that inspires some to become scientists themselves because that is required to be able to meaningfully publish valuable research on such subjects that matter in the real world.