Unlike humans, crops in a field can't move to air conditioning to endure a heat wave. Scientists in Australia are working to understand how heat waves impact wheat.
University of Kansas education professors have published a study showing that a comprehension-based strategy can help English learners improve their math word-problem solving abilities. The approach boosts reading comprehension and problem solving as well.
Physicists devised a way to determine the electronic properties of thin gold films after they interact with light. The finding may help pave the way for improvements in a range of optical devices.
A QUT-led study using artificial intelligence has proved a Twitter-based personality estimate is as successful in predicting local differences in actual entrepreneurial activity as regional personality data collected by means of millions of standard personality tests.
By comparing different types of remote atomic clocks, physicists at the National Institute of Standards and Technology (NIST) have performed the most accurate test ever of a key principle underlying Albert Einstein's famous theory of general relativity, which describes how gravity relates to space and time.
A group of clinical neurologists, molecular biologists and computer scientists have worked together to solve the mystery of why motor neurons die in patients with motor neuron disease, published in Nature Communications this week.
In an experiment described in Physical Review Letters, a single photon aligned the spins of 6,000 electrons in only 50 picoseconds. The result offers prospects for technological applications in the electronic component industry.
A study conducted by the Massachusetts Institute of Technology's Senseable City Laboratory -- with important input from Steven Strogatz, the Jacob Gould Schurman Professor of Applied Mathematics at Cornell University -- offers a network-based solution to size and operate a fleet of taxis.
Based on complex simulations of quantum chromodynamics performed using the K computer, one of the most powerful computers in the world, the HAL QCD Collaboration, made up of scientists from the RIKEN Nishina Center for Accelerator-based Science and the RIKEN Interdisciplinary Theoretical and Mathematical Sciences (iTHEMS) program, together with colleagues from a number of universities, have predicted a new type of 'dibaryon' -- a particle that contains six quarks instead of the usual three.
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.