Cryptocurrencies have been treated as a financial terra incognita—they have enjoyed growing interest but also raised concerns due to their virtuality. The use of statistical methods utilizing correlation matrices to analyze ...
Mathematics
Apr 2, 2020
0
10
The second law of thermodynamics delineates an asymmetry in how physical systems evolve over time, known as the arrow of time. In macroscopic systems, this asymmetry has a clear direction (e.g., one can easily notice if ...
Most of us know this phenomenon only too well: when it's hot outside, you feel the urge for a cooling ice cream. But would you have thought that mathematics could be involved?
Mathematics
Aug 9, 2019
0
1702
How many matter particles exist in nature? Particle physicists have been dealing with this question for a long time. The 12 matter particles contained in the standard model of particle physics? Or are there further particles ...
General Physics
Dec 13, 2012
54
5
Causal inference is important in medical research to help determine if treatments are beneficial and if natural exposures are harmful. In many settings, data collection makes causal inference difficult without making overly ...
Mathematics
Oct 16, 2020
0
6
A team of scientists at Freie Universität Berlin has developed an Artificial Intelligence (AI) method that provides a fundamentally new solution of the "sampling problem" in statistical physics. The sampling problem is that ...
General Physics
Sep 6, 2019
2
785
The AstraZeneca COVID-19 vaccine is suspected of being linked to a small number of deep vein thrombosis (DVT) cases, which recently emerged within Europe as millions of people received vaccinations. This led several countries ...
Mathematics
Apr 27, 2021
5
359
According to experts' statistical analyses, if you're expecting 10 guests for dinner on Christmas day, 15 crackers—those festive cardboard tubes filled with a one-size-fits-no-one paper hat, a small toy, and a groan-inducing ...
Mathematics
Dec 15, 2014
0
0
(Phys.org)—Physicists have found that the structure of certain types of quantum learning algorithms is very similar to their classical counterparts—a finding that will help scientists further develop the quantum versions. ...
"Think what we can do if we teach a quantum computer to do statistical mechanics," posed Michael McGuigan, a computational scientist with the Computational Science Initiative at the U.S. Department of Energy's Brookhaven ...
General Physics
Jan 27, 2020
0
384
