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China has been ignoring global environmental compacts for decades and has been actively destroying the ozone layer. A recent report abstract (16 May 2018) published on Nature reveals that it has been found an "... increase in emission of CFC-11 appears unrelated to past production; this suggests unreported new production, which is inconsistent with the Montreal Protocol agreement to phase out global CFC production by 2010." As I have often lamented, the "green movement" in the US merely pushed "dirty" industrial processes to countries that don't care about pollution. These recent revelations seem to prove that avoiding unenforceable (or selectively enforced) global treaties like the Paris Accord is a smart move. https://www.nature.com/articles/s41586-019-1193-4
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There are now websites and apps that can take self-reported symptoms from patients and give accurate diagnoses. Researchers have developed deep-learning computers that are now comparable, if not better, than human doctors when diagnosing certain diseases and conditions. What does this mean for the future of medical professions? https://www.youtube.com/watch?v=xsL9da0uKYY #ai #healthcare #news #Subverse
4.03k views ·

More from Subverse Newsroom

China has been ignoring global environmental compacts for decades and has been actively destroying the ozone layer. A recent report abstract (16 May 2018) published on Nature reveals that it has been found an "... increase in emission of CFC-11 appears unrelated to past production; this suggests unreported new production, which is inconsistent with the Montreal Protocol agreement to phase out global CFC production by 2010." As I have often lamented, the "green movement" in the US merely pushed "dirty" industrial processes to countries that don't care about pollution. These recent revelations seem to prove that avoiding unenforceable (or selectively enforced) global treaties like the Paris Accord is a smart move. https://www.nature.com/articles/s41586-019-1193-4
84 views ·
There are now websites and apps that can take self-reported symptoms from patients and give accurate diagnoses. Researchers have developed deep-learning computers that are now comparable, if not better, than human doctors when diagnosing certain diseases and conditions. What does this mean for the future of medical professions? https://www.youtube.com/watch?v=xsL9da0uKYY #ai #healthcare #news #Subverse
4.03k views ·