We often encounter nonlinear dynamical systems that behave unpredictably, such as the Earth's climate and the stock market. To analyze them, measurements taken over time are used to reconstruct the state of the system. However, ...
Mathematics
Apr 7, 2022
0
10
Researchers at the University of Tokyo and Kozo Keikaku Engineering Inc. have introduced a method for enhancing the power of existing algorithms to forecast the future of unknown time series. By combining the predictions ...
Mathematics
Jan 20, 2020
0
95
Only a handful of U.S. states showed a surge in gun violence incidents in mid-2020 during civil unrest at the start of COVID-19 lockdowns and the murder of George Floyd, a new study finds.
Mathematics
Nov 1, 2022
0
149
EPFL researchers have developed a novel approach to network analysis that allows them to reveal and interpret, for the first time, interactions among multiple variables in data from neuroscience, economics, and epidemiology.
General Physics
Jan 16, 2023
0
32
Exoplanets revolving around distant stars are coming quickly into focus with advanced technology like the Kepler space telescope. Gaining a full understanding of those systems is difficult, because the initial positions and ...
General Physics
Jul 30, 2019
2
95
Every spring, researchers publish their projected forecasts of the upcoming hurricane season—how many storms may form, and how severe they may be. But what if you could create these forecasts up to a year and a half in ...
Earth Sciences
Apr 30, 2021
0
42
Knowledge about the spread of tick-borne diseases is extremely limited and notoriously difficult to acquire. A new study from the University of Copenhagen demonstrates that internet searches just might be the way to keep ...
Ecology
Aug 11, 2022
0
11
Duchenne muscular dystrophy is the most common type of muscular dystrophy, affecting more than 10,000 males at birth per year in the United States with severe physical disability, chronic wasting and muscle deterioration.
General Physics
Feb 11, 2020
0
15
