Berkeley Lab researchers contributed key algorithms which helped scientists achieve a goal first proposed more than 40 years ago -- using angular correlations of X-ray snapshots from non-crystalline molecules to determine the 3-D structure of important biological objects.
Northwestern University data scientists and seismologists could potentially forecast strong earthquakes through algorithms designed to detect and monitor 'deep tremor.'
Using computer simulation techniques, scientists have gained new insights into the mechanism by which lowering the temperature of specific brain regions could potentially treat epileptic seizures. The results are published in PLOS Computational Biology.
In the present paper, the concept of 'situation' translates into one of a 'stochastic environment', and three levels of information are systematically studied (minimum, sequential, maximum).
In fish and other animals, the color detecting cone cells in the retina are arranged in specific patterns, and this is believed to be important for allowing animals to properly sense their surroundings. Now, in research published in Physical Review E, an interdisciplinary group of physicists and biologists have used a mathematical model to determine how the cone cells in zebrafish -- a common experimental fish model -- are arranged in a specific pattern in all individuals.
A Cardiff University mathematician has thrown new light on the longstanding mystery of how zebrafish develop the distinctive striped patterns on their skin.
How do pedestrians behave in a large crowd? How do they avoid collisions? How can their paths be modeled? A new approach developed by mathematicians from Würzburg and Nice provides answers to these questions.
Oxford University scientists address the problem of quantum complexity, identifying Monte-Carlo simulations as a particular physical phenomenon that cannot be captured by any local quantum. The work looks at the challenging 'sign problem.'
Aleksey V. Belikov, a scientist from the MIPT Laboratory of Innovative Medicine and Agrobiotechnology, used the publicly available data on 20 million cancer cases and examined 16 probability distributions, finding that the incidence of 20 most prevalent cancer types in relation to patients' age closely follows the Erlang probability distribution, which is widely used in telecommunications for incoming call simulations. Notably, it is the only probability distribution that describes the waiting time for several random events, such as DNA mutations.
A team of researchers from the UK and Russia have successfully demonstrated that a type of 'magic dust' which combines light and matter can be used to solve complex problems and could eventually surpass the capabilities of even the most powerful supercomputers.