Researchers from the Peter the Great St. Petersburg Polytechnic University (SPbPU) discovered and theoretically explained a new physical effect: amplitude of mechanical vibrations can grow without external influence. Besides, the scientific group offered their explanation on how to eliminate the Fermi-Pasta-Ulam-Tsingou paradox.
Biological builders like beavers, elephants, and shipworms re-engineer their environments. How this affects their ecological network is the subject of new research, which finds that increasing the number of "ecosystem engineers" stabilizes the entire network against extinctions.
Residents in all 25 of the US counties hardest hit by COVID-19 began to limit their public movements six to 29 days before states implemented stay-at-home orders, according to Johns Hopkins University researchers.
Quantitative biologists from Northwestern combine precision measurements and mathematical models to uncover a common mechanism regulating gene expression during development.
Mathematicians based in Australia and China have developed a method to analyze the large amount of data accumulated during the COVID-19 pandemic. The technique, described in the journal Chaos, can identify anomalous countries -- those that are more successful than expected at responding to the pandemic and those that are particularly unsuccessful. The investigators analyzed the data with a variation of a statistical technique known as a cluster analysis.
Single sign-on systems (SSOs) allow us to login to multiple websites and applications using a single username and password combination. But these are third party systems usually handled by Big Tech companies who have been reported to gather and leak personal information without user consent. Now, researchers from Tokyo University of Science, Japan, have developed a new and secure single sign-on algorithm that eliminates all these problems.
A new model of opinion formation shows how the extent to which people like or dislike each other affects their political views -- and vice versa. The resulting division of societies can even become a matter of life and death, as the current crises show, according to researchers of the Complexity Science Hub Vienna (CSH).
A new mathematical model for predicting variations in solar irradiance has been developed at Uppsala University. It may help to promote more efficient use of electricity from solar energy. In tests of various data models, the model proved capable of making highly reliable forecasts, and emerged as the best for this purpose in some respects. The results have now been published in two articles in the journal Solar Energy.
With an X-ray experiment at the European Synchrotron ESRF in Grenoble (France), Empa researchers were able to demonstrate how well their real-time acoustic monitoring of laser weld seams works. With almost 90 percent reliability, they detected the formation of unwanted pores that impair the quality of weld seams. Thanks to a special evaluation method based on artificial intelligence (AI), the detection process is completed in just 70 milliseconds.
The magnetic structures resulting from a plasma instability predicted by the physicist Erich Weibel about 50 years ago has been evidenced at surprisingly large scales in a laser-driven plasma in the prestigious journal Nature Physics. This instability is also expected to operate in astrophysical settings where it is held responsible for the acceleration of cosmic rays and the emission of gamma photons in the famous 'gamma-ray bursts'.