The finding, from a recently published research paper, is based on results of experiments correlating specific individuals with accounts or posts across more than one social media platform. The success rate was far greater than existing classical deanonymization work that relied on humans assembling structured data sets suitable for algorithmic matching or manual work by skilled investigators. Recall—that is, how many users were successfully deanonymized—was as high as 68 percent. Precision—meaning the rate of guesses that correctly identify the user—was up to 90 percent.
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Hanss is part of an interdisciplinary team of archaeologists, chemists, historians, conservators, and materials scientists who have analyzed trace proteins from the fingerprints of Renaissance people rifling through the pages of medical manuals. The team reported their findings in a paper published in The American Historical Review. It's the first time researchers have used proteomics to analyze Renaissance recipes, enhanced further by in-depth archival research to place the scientific results in the proper historical context.
Toward the end of 2019, Marone said, Friedmann started telling him, “The end is near.” Sometimes he’d say it in Latin. Growing more concerned, Marone asked Friedmann, “What’s going on with you? Are you thinking about doing something?”