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A breastfeeding woman improves her heart health

11.08.2023

Scientists from the University of Adelaide presented interesting results from a study that found a link between the duration of breastfeeding for at least six months and improved cardiovascular and metabolic health in women. This effect is observed for at least three years, it is especially significant for those who have experienced a complicated pregnancy.

The study involved 160 pairs of mothers and their children. The scientists conducted a detailed analysis of the women's health and assessed their experience of breastfeeding over the past three years.

The results showed that women who breastfed their babies for six months or longer had lower weight and body mass index compared to those who either did not breastfeed or did so for a shorter period of time. In addition, this group of women also had lower blood pressure, lower triglycerides, lower insulin levels, and higher levels of high-density lipoproteins.

Scientists attribute these findings to improved cardiovascular and metabolic health. The effect was especially pronounced in women who experienced serious complications during pregnancy.

The results obtained provide important arguments in favor of the recommendation for long-term breastfeeding for women. However, the scientists are calling for more research to elucidate more detailed mechanisms behind the discovered link.

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The computer reads minds 22.07.2008

A computer program developed by American scientists is able, based on the results of a brain scan, to determine what word a person is thinking about.

Researchers at Carnegie Mellon University led by Tom Mitchell suggested that the way the brain processes nouns depends on how they are related to verbs. "Hammer", for example, activates the areas of the brain associated with movement, "lock" - with spatial information.

Using these assumptions, Mitchell and his colleagues created a program that tried to account for semantic relationships. The program was tested on nine volunteers whose brains were scanned as they looked at cards with nouns written on them.

There were 60 of these words in total, and 58 of them were entered into a computer along with the corresponding maps of brain activity. Then the program analyzed the text, with a volume of 10 billion characters, and established links between the experimental words and the previously introduced 25 verbs. This was followed by a testing phase: the program was tasked with predicting the areas of the brain "responsible" for two missing words when entering. Three quarters of the answers were correct. The idea itself is not new: there is a model that guesses which of the 100 images a person sees.

"Our model involves analyzing not only visual signals, but also the meaning of words," says Tom Mitchell.

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