Sariel007

Sariel007 OP t1_isxjnsq wrote

>When computers go wrong, we tend to assume it's just some software hiccup, a bit of bad programming. But ionising radiation, including rays of protons blasted towards us by the sun, can also be the cause. These incidents, called single-event upsets, are rare and it can be impossible to be sure that cosmic rays were involved in a specific malfunction because they leave no trace behind them.

>And yet they have been singled out as the possible culprits behind numerous extraordinary cases of computer failure. From a vote-counting machine that added thousands of non-existent votes to a candidate's tally, to a commercial airliner that suddenly dropped hundreds of feet mid-flight, injuring dozens of passengers.

>As human society only becomes more dependent on digital technology, it's worth asking how big a risk cosmic rays pose to our way of life. Not least because, with the continuing miniaturisation of microchip technology, the charge required to corrupt data is getting smaller all the time, meaning it is actually getting easier for cosmic rays to have this effect.

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Sariel007 OP t1_isac9yx wrote

Depression is an all-too-common psychiatric condition that can profoundly affect a person’s well-being. While there is a huge range of medications available to treat depression, many people don’t respond to the first or even second medications they are prescribed. As a result, doctors must often take a trial-and-error approach, meaning it could take months or even years to find an effective medication.

In the search for better approach, some researchers are exploring the use of machine learning to predict which patients will respond to a specific antidepressant medication. In a study published 12 September in IEEE Transactions on Biomedical Engineering, one team describes a machine-learning algorithm that analyzes the electrical activity of people’s brains and could predict response to the antidepressant Sertraline with 83.7 percent accuracy.

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Sariel007 OP t1_is0pe7a wrote

>Most therapeutic antibiotics actually come from soil microbes, so this discovery broadens the search for new compounds to plant-based microorganisms.

>“We have to look more expansively across much more of the microbial populations available to us,” said Dr. Rita Monson a microbiologist at the University of Cambridge and one of the study’s authors.

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