systems

The development of an ultrathin magnet that operates at room temperature could lead to new applications in computing and electronics -- such as high-density, compact spintronic memory devices -- and new tools for the study of quantum physics. The ultrathin magnet, which was recently reported in the journal Nature Communications, could make big advances in next-gen memories, … [Read more...] about Ultrathin magnet operates at room temperature: One-atom thin 2D magnet could advance new applications in computing and electronics

At low temperatures, certain materials lose their electrical resistance and conduct electricity without any loss -- this phenomenon of superconductivity has been known since 1911, but it is still not fully understood. And that is a pity, because finding a material that would still have superconducting properties even at high temperatures would probably trigger a technological … [Read more...] about Using ultra-low temperatures to understand high-temperature superconductivity

A new wearable brain-machine interface (BMI) system could improve the quality of life for people with motor dysfunction or paralysis, even those struggling with locked-in syndrome -- when a person is fully conscious but unable to move or communicate. A multi-institutional, international team of researchers led by the lab of Woon-Hong Yeo at the Georgia Institute of Technology … [Read more...] about Wearable brain-machine interface turns intentions into actions: New system based on user’s motor-imagery could control wheelchair, robotic arm, or other devices

As the Summer Olympics draw near, the world will shift its focus to photo finishes and races determined by mere fractions of a second. Obtaining such split-second measurements relies on faultlessly rounding a raw time recorded by a stopwatch or electronic timing system to a submitted time. Researchers at the University of Surrey found certain stopwatches commit rounding errors … [Read more...] about Rounding errors could make certain stopwatches pick wrong race winners, researchers show

In order to win the battle against COVID-19, studies to develop vaccines, drugs, devices and re-purposed drugs are urgently needed. Randomized clinical trials are used to provide evidence of safety and efficacy as well as to better understand this novel and evolving virus. As of July 15, more than 6,180 COVID-19 clinical trials have been registered through ClinicalTrials.gov, … [Read more...] about Novel method predicts if COVID-19 clinical trials will fail or succeed

One of the major challenges in modern cancer therapy is the adaptive response of cancer cells to targeted therapies: initially, these therapies are very often effective, then adaptive resistance occurs, allowing the tumor cells to proliferate again. Although this adaptive response is theoretically reversible, such a reversal is hampered by numerous molecular mechanisms that … [Read more...] about Cancer: Information theory to fight resistance to treatments

Designing materials that have the necessary properties to fulfill specific functions is a challenge faced by researchers working in areas from catalysis to solar cells. To speed up development processes, modeling approaches can be used to predict information to guide refinements. Researchers from The University of Tokyo Institute of Industrial Science have developed a machine … [Read more...] about Projecting bond properties with machine learning

Researchers from Idaho National Laboratory and New Mexico-based Visgence Inc. have designed and demonstrated a technology that can block cyberattacks from impacting the nation's electric power grid. During a recent live demonstration at INL's Critical Infrastructure Test Range Complex, the Constrained Cyber Communication Device (C3D) was tested against a series of remote access … [Read more...] about New technology shows promise in detecting, blocking grid cyberattacks

Although photovoltaic systems constitute a promising way of harnessing solar energy, power grid managers need to accurately predict their power output to schedule generation and maintenance operations efficiently. Scientists from Incheon National University, Korea, have developed a machine learning-based approach that can more accurately estimate the output of photovoltaic … [Read more...] about Machine learning models to help photovoltaic systems find their place in the sun

Imagine you're a CEO who wants to promote an innovative new product -- a time management app or a fitness program. Should you send the product to Kim Kardashian in the hope that she'll love it and spread the word to her legions of Instagram followers? The answer would be 'yes' if successfully transmitting new ideas or behavior patterns was as simple as showing them to as many … [Read more...] about Study finds surprising source of social influence: Want to promote your new product or trigger a shift in thinking? Steer clear of the influencers