Scientists have developed a novel computational approach that incorporates individual patients' brain activity to calculate optimal, personalized brain stimulation treatment for Alzheimer's disease. Lazaro Sanchez-Rodriguez of the University of Calgary, Canada, and colleagues present their new framework in PLOS Computational Biology.
Scientists at the Department of Energy's Oak Ridge National Laboratory are the first to successfully simulate an atomic nucleus using a quantum computer. The results, published in Physical Review Letters, demonstrate the ability of quantum systems to compute nuclear physics problems and serve as a benchmark for future calculations.
When making decisions, our perception is influenced by judgments we have made in the past as a way of remaining consistent with ourselves, suggests new research published in eLife.
In a new study in Science Advances, researchers at Columbia University show that machine learning algorithms could pick out different types of earthquakes from three years of earthquake recordings at The Geysers in California, a major geothermal energy field. The repeating patterns of earthquakes appear to match the seasonal rise and fall of water-injection flows into the hot rocks below, suggesting a link to the mechanical processes that cause rocks to slip or crack, triggering an earthquake.
Variation in expertise and risk-taking behaviors among investors regularly sends markets on roller-coaster rides. Researchers describe the intricate dynamics driving a financial markets model in this week's Chaos. Their model takes aim to simulate asset pricing when mixed groups of investors enter a market. By examining bifurcation conditions, they described transitions between different chaotic dynamical regimes. They showed that their model can reflect the nature of real markets by switching between bear and bull dynamics.
Experiments in a system of 53 trapped atoms, presented in 2017 researchers from Harvard and MIT, revealed completely unexpected periodic oscillations in the dynamics of the interacting atoms. Now, an international team of researchers has solved the mystery of these previously inexplicable oscillations. The theoretical explanation they proposed introduces a concept of a 'quantum many-body scar' and is a paradigm shift in the dynamics of many-body quantum systems.
The team of researchers at Kaunas University of Technology, Lithuania are developing mathematical methods which could help diagnose breast cancer. Applying deep learning method, the researchers are aiming to 'teach' computers to recognize malignant lesions, which would allow at least partially automatize and enhance the accuracy of diagnosing breast cancer.
Contrary to prevailing dogma, plus-sized female fish invest disproportionately more in making eggs than smaller females. Therefore, taking a single big fish has a bigger impact on the fish population than taking multiple small ones.
Using machine-learning techniques, a research team has reconstructed a short movie of small, randomly moving discs from signals produced by rat retinal neurons. Vicente Botella-Soler of the Institute of Science and Technology Austria and colleagues present this work in PLOS Computational Biology.
Ants working together to carry a large piece of food get around obstacles by switching between two types of motion: one that favors squeezing the morsel through a hole and another to seek a path around the barrier. Jonathan Ron of the Weizmann Institute, Israel, and colleagues present these findings in PLOS Computational Biology.