Your brain is structured to make the best possible decision given its limited resources, according to new research that unites cognitive science and information theory -- the branch of mathematics that underlies modern communications technology.
CNRS and EHESS researchers analyzed nearly 60 million political tweets posted during the 2017 presidential election in France. They noted that fake news flagged by the Le Monde Decodex fact-checking website accounted for only 0.1 percent of all Twitter content, and that 73 percent of the bogus information was spread by two political communities. Their findings are published in PLOS ONE.
Quantitative tools developed in math and physics to understand bifurcations in dynamical systems could help ecologists and biologists better understand -- and predict -- tipping points in animal societies.
A new study suggests that defenses against extreme temperatures give E. coli bacteria an advantage in fending off certain drugs. The work could help doctors administer antibiotics in a more precise way.
An international group of researchers (the first author is Nikita Kalinin, Higher School of Economics - Saint-Petersburg, the last author is Ernesto Lupercio, CINVESTAV, Mexico) has presented the first continuous model describing self-organized criticality. The proposed solution is simpler and more universal than the classical sandpile model: it integrates areas as remote from one another as economics, developmental biology and gravity in the context of tropical geometry. The paper was published in PNAS.
The recurrence plot is a vital tool for analyzing nonlinear dynamic systems, especially systems involving empirically observed time series data. RPs show patterns in a phase space system and indicate where data visit the same coordinates, and can mimic some types of inferential statistics and linear analyses. A paper in Chaos provides a proof of concept for using RPs to mimic the Kolmogorov-Smirnov test, which scientists use to determine if two data sets significantly differ.
Sparked by a suggestion from researchers at Google, Harvard scientists are using artificial intelligence technology to analyzed a database of earthquakes from around the world in an effort to predict where aftershocks might occur. Using deep learning algorithms, they developed a system that, while still imprecise, was able to forecast aftershocks significantly better than random assignment.
In some physical systems, even elements quite distant from one another are able to synchronize their actions. At a first glance, the phenomenon looks rather mysterious. Using a network of simple electronic oscillators interconnected as a ring, researchers from the Institute of Nuclear Physics of the Polish Academy of Sciences in Cracow have shown that, in fact, remote synchronization can, at least in certain cases, be explained quite clearly.
Scientists at the MDI Biological Laboratory and the University of Maine have discovered that genetic material in the cell that was previously thought to be 'junk' because of its apparent lack of function likely plays a part in regulating genetic circuits responsible for regeneration in highly regenerative animals. The discovery could one day lead to the development of drugs to trigger the dormant pathways for regeneration in humans.
University of Melbourne researchers have developed a software tool that uses applied mathematics and big data analytics to predict the boundary of where a landslide will occur, two weeks in advance.