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COVID Pandemic Aged Brains By an Average of 5.5 Months, Study Finds

4 weeks 2 days ago
An anonymous reader quotes a report from NBC News: Using brain scans from a very large database, British researchers determined that during the pandemic years of 2021 and 2022, people's brains showed signs of aging, including shrinkage, according to the report published in Nature Communications. People who got infected with the virus also showed deficits in certain cognitive abilities, such as processing speed and mental flexibility. The aging effect "was most pronounced in males and those from more socioeconomically deprived backgrounds," said the study's first author, Ali-Reza Mohammadi-Nejad, a neuroimaging researcher at the University of Nottingham, via email. "It highlights that brain health is not shaped solely by illness, but also by broader life experiences." Overall, the researchers found a 5.5-month acceleration in aging associated with the pandemic. On average, the difference in brain aging between men and women was small, about 2.5 months. "We don't yet know exactly why, but this fits with other research suggesting that men may be more affected by certain types of stress or health challenges," Mohammadi-Nejad said. [...] The study wasn't designed to pinpoint specific causes. "But it is likely that the cumulative experience of the pandemic -- including psychological stress, social isolation, disruptions in daily life, reduced activity and wellness -- contributed to the observed changes," Mohammadi-Nejad said. "In this sense, the pandemic period itself appears to have left a mark on our brains, even in the absence of infection." "The most intriguing finding in this study is that only those who were infected with SARS-CoV-2 showed any cognitive deficits, despite structural aging," said Jacqueline Becker, a clinical neuropsychologist and assistant professor of medicine at the Icahn School of Medicine at Mount Sinai. "This speaks a little to the effects of the virus itself." The study may shed light on conditions like long Covid and chronic fatigue, though it's still unclear whether the observed brain changes in uninfected individuals will lead to noticeable effects on brain function.

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The Escobar Phone Scam Saga Has Finally Come To an End

4 weeks 2 days ago
Olof Kyros Gustafsson, former CEO of Escobar, pleaded guilty to fraud and money laundering charges related to the company's phone scam operation. The Department of Justice says Gustafsson took orders for phones branded with Pablo Escobar's likeness but failed to deliver products, instead transferring customer money for personal use. When customers sought refunds, Gustafsson fraudulently referred payment processors to certificates of ownership as proof of delivery. The phones were Samsung devices with gold stickers. Gustafsson faces up to 20 years in prison and $1.3 million in restitution at his December 5th sentencing.

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Humans Can Be Tracked With Unique 'Fingerprint' Based On How Their Bodies Block Wi-Fi Signals

4 weeks 2 days ago
Researchers from La Sapienza University in Rome have developed "WhoFi," a system that uses the way a person's body distorts Wi-Fi signals to re-identify them across different locations -- even if they're not carrying a phone. By training a deep neural network on these subtle signal distortions, the researchers claim WhoFi is able to achieve up to 95.5% accuracy. The Register reports: "The core insight is that as a Wi-Fi signal propagates through an environment, its waveform is altered by the presence and physical characteristics of objects and people along its path," the authors state in their paper. "These alterations, captured in the form of Channel State Information (CSI), contain rich biometric information." CSI in the context of Wi-Fi devices refers to information about the amplitude and phase of electromagnetic transmissions. These measurements, the researchers say, interact with the human body in a way that results in person-specific distortions. When processed by a deep neural network, the result is a unique data signature. Researchers proposed a similar technique, dubbed EyeFi, in 2020, and asserted it was accurate about 75 percent of the time. The Rome-based researchers who proposed WhoFi claim their technique makes accurate matches on the public NTU-Fi dataset up to 95.5 percent of the time when the deep neural network uses the transformer encoding architecture. "The encouraging results achieved confirm the viability of Wi-Fi signals as a robust and privacy-preserving biometric modality, and position this study as a meaningful step forward in the development of signal-based Re-ID systems," the authors say.

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