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Categories: Mathematics: Statistics, Space: Exploration

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Scientists from the U.S., Europe and Russia are part of a team releasing the results of a large collaborative study involving the effects of long duration spaceflight on the brain.

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Astronomers have discovered bloated Jupiter-sized worlds that are so precariously close to their parent star they are being roasted at seething temperatures above 3,000 degrees Fahrenheit. That's hot enough to vaporize most metals, including titanium. They have the hottest planetary atmospheres ever seen. Hubble astronomers are reporting on bizarre weather conditions on these sizzling worlds. It's raining vaporized rock on one planet, and another one has its upper atmosphere getting hotter rather than cooler because it is being 'sunburned' by intense ultraviolet (UV) radiation from its star.

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Researchers have developed a machine learning model that could better measure baseball players' and teams' short- and long-term performance, compared to existing statistical analysis methods for the sport. Drawing on recent advances in natural language processing and computer vision, their approach would completely change, and could enhance, the way the state of a game and a player's impact on the game is measured.

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Researchers are investigating the psychological impact of social isolation in harsh environments, such as on the Moon.

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Professional organizations in science, technology, engineering and mathematics (STEM) fields could more effectively collect data on underrepresented groups in their fields, according to a new survey. With more robust information, STEM organizations could better target efforts to recruit and retain a more diverse membership.

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NASA's Hubble Space Telescope has established an extraordinary new benchmark: detecting the light of a star that existed within the first billion years after the universe's birth in the big bang -- the farthest individual star ever seen to date.

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Power functional theory is a new approach that makes it possible to describe precisely the dynamics of many-particle systems over time.

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Scientists have discovered a new source of super-fast, energetic electrons raining down on Earth's atmosphere, a phenomenon that contributes to the colorful aurora borealis and poses hazards to satellites, spacecraft and astronauts.

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An artificial intelligence (AI)-based computer algorithm accurately predicted a person's likelihood of suffering heart problems related to clogged arteries based on voice recordings alone.

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Researchers have developed an algorithm that uses the most quantum bits to date to calculate ground state energy, the lowest-energy state in a quantum mechanical system. The discovery could make it easier to design new materials.

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Researchers have recently discovered a breakthrough in magnetic reconnection that could ultimately help predict space weather.

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A quantum ensemble -- a set of quantum states with their corresponding probabilities -- is essential to the encoding of classical information for transmission over quantum channels. But receivers must be able to 'guess' the transmitted quantum state, incurring a cost called 'guesswork.' Recently, researchers have derived analytical solutions of the guesswork problem for when the ensemble is subject to a finite set of conditions. The results constitute a first step towards future algorithms for quantum software.

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Scientists are evaluating machine-learning models using transfer learning principles.

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A new data analysis tool has revealed the specific immune cell types associated with increased risk of death from COVID-19.

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Researchers have developed a computationally efficient method that could be used to identify anomalies in the U.S. power grid in real time. The novel technique augments a special type of machine-learning model with a powerful graph structure, and does not require any labeled data to train.

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Time for a road trip. You punch the destination into your GPS and choose the suggested route. But is this shortest route the safest? Not necessarily, according to new findings.

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A spectacular head-on collision between two galaxies fueled the unusual triangular-shaped star-birthing frenzy, as captured in a new image from NASA's Hubble Space Telescope.

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Despite being among the most researched topics on supercomputers, a fundamental understanding of the effects of turbulent motion on fluid flows still eludes scientists. A new approach aims to change that.

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Researchers have developed a system based on computer vision techniques that allows automatic analysis of biomedical videos captured by microscopy in order to characterize and describe the behavior of the cells that appear in the images.

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Community structure, including relationships between and within groups, is foundational to our understanding of the world around us.