Researchers from Tokyo Metropolitan University have enhanced super-resolution machine learning techniques to study phase transitions. They identified key features of how large arrays of interacting particles behave at different temperatures by simulating tiny arrays before using a convolutional neural network to generate a good estimate of what a larger array would look like using correlation configurations. The massive saving in computational cost may realize unique ways of understanding how materials behave.
New estimates suggest that mass gatherings during an election in the Malaysian state of Sabah directly caused 70 percent of COVID-19 cases detected in Sabah after the election, and indirectly caused 64.4 percent of cases elsewhere in Malaysia. Jue Tao Lim of the National University of Singapore, Kenwin Maung of the University of Rochester, New York, and colleagues present these findings in the open-access journal PLOS Computational Biology.
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IMAGE: Artistic imagery about the famous Bell experiments, with ballet dancers personifying experimental arrangements in space-time separated labs. The strings of ones and zeros allude to the violation of free choice. view more
Credit: Source: IFJ PAN / Iwona Michniewska
Do we have free choice or are our decisions predetermined? Is physical reality local, or does what we do here and now have an immediate influence on events elsewhere? The answers to these questions are sought by physicists in the Bell inequalities. It turns out that free choice and local realism can be skilfully measured and compared. The results obtained reveal surprising relationships of a fundamental and universal nature, going far beyond quantum mechanics itself.
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IMAGE: Early online support for the Boogaloos, one of the groups implicated in the January 2021 attack on the United States Capitol, followed the same mathematical pattern as ISIS, despite the. view more
Credit: Neil Johnson/GW
WASHINGTON (May 19, 2021) Early online support for the Boogaloos, one of the groups implicated in the January 2021 attack on the United States Capitol, followed the same mathematical pattern as ISIS, despite the stark ideological, geographical and cultural differences between their forms of extremism. That s the conclusion of a new study published today by researchers at the George Washington University. This study helps provide a better understanding of the emergence of extremist movements in the U.S. and worldwide, Neil Johnson, a professor of physics at GW, said. By identifying hidden common patterns in what seem to be completely unrelated movements, topped with a rigorous mathematical description of how they develop, our finding