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Categories: Mathematics: Modeling, Space: Cosmology

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Astronomers have discovered a large reservoir of hot gas in the still-forming galaxy cluster around the Spiderweb galaxy -- the most distant detection of such hot gas yet. Galaxy clusters are some of the largest objects known in the Universe and this result further reveals just how early these structures begin to form.

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Being able to withstand hurricane-force winds is the key to a long life for many buildings on the Eastern Seaboard and Gulf Coast of the U.S. Determining the right level of winds to design for is tricky business, but support from artificial intelligence may offer a simple solution.

     (via sciencedaily.com)     Original source 

Much like how wind plays a key role in life on Earth by sweeping seeds, pollen and more from one place to another, galactic winds -- high-powered streams of charged particles and gases -- can change the chemical make-up of the host galaxies they form in, simply by blowing in a specific direction.

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When severe weather is brewing and life-threatening hazards like heavy rain, hail or tornadoes are possible, advance warning and accurate predictions are of utmost importance. Weather researchers have given storm forecasters a powerful new tool to improve confidence in their forecasts and potentially save lives. Over the last several years, Russ Schumacher, professor in the Department of Atmospheric Science and Colorado State Climatologist, has led a team developing a sophisticated machine learning model for advancing skillful prediction of hazardous weather across the continental United States. First trained on historical records of excessive rainfall, the model is now smart enough to make accurate predictions of events like tornadoes and hail four to eight days in advance -- the crucial sweet spot for forecasters to get information out to the public so they can prepare. The model is called CSU-MLP, or Colorado State University-Machine Learning Probabilities.

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Scientists believe the gamma-ray emission, which lasted over 300 seconds, is the birth cry of a black hole, formed as the core of a massive and rapidly spinning star collapses under its own weight.

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Can monetary policy such as the U.S. Federal Reserve raising interest rates affect the environment? According to a new study, it can. Results suggest that the impact of monetary policy on pollution is basically domestic: a monetary contraction or reduction in a region reduces its own emissions, but this does not seem to spread out to other economies. However, the findings do not imply that the international economy is irrelevant to determining one region's emissions level. The actions of a country, like the U.S., are not restricted to its borders. For example, a positive shock in the Federal Reserve's monetary policy may cause adjustments in the whole system, including the carbon emissions of the other regions.

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Astrophysicists have leveraged artificial intelligence to uncover a better way to estimate the mass of colossal clusters of galaxies. The AI discovered that by just adding a simple term to an existing equation, scientists can produce far better mass estimates than they previously had. The improved estimates will enable scientists to calculate the fundamental properties of the universe more accurately, the astrophysicists have reported.

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Machine learning and state-of-the-art supernova nucleosynthesis has helped researchers find that the majority of observed second-generation stars in the universe were enriched by multiple supernovae.

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Physicists have detected neutrinos created by a particle collider. The discovery promises to deepen scientists' understanding of the subatomic particles, which were first spotted in 1956 and play a key role in the process that makes stars burn.

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In organic solar cells, carbon-based polymers convert light into charges that are passed to an acceptor. Scientists have now calculated how this happens by combining molecular dynamics simulations with quantum calculations and have provided theoretical insights to interpret experimental data.

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The largest data release of relatively nearby supernovae (colossal explosions of stars), containing three years of data is publicly available via the Young Supernova Experiment (YSE).

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The rare sight of a Wolf-Rayet star -- among the most luminous, most massive, and most briefly detectable stars known -- was one of the first observations made by NASA's James Webb Space Telescope in June 2022. Webb shows the star, WR 124, in unprecedented detail with its powerful infrared instruments. The star is 15,000 light-years away in the constellation Sagittarius.

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A researcher has solved a nearly 60-year-old game theory dilemma called the wall pursuit game, with implications for better reasoning about autonomous systems such as driver-less vehicles.

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In an unlikely pairing, a chemist and an astrophysicist applied the tools of statistical mechanics to find similarities in spatial patterns across length scales.

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In a world experiencing growing inequality and intolerance, tools borrowed from science and mathematics could be the key to understanding and preventing prejudice. Experts apply evolutionary game theory, which combines techniques from economics and biology, and complex system analysis to investigate the relationship between inequality and intolerance. They found that inequality boosts intolerance and that redistribution of wealth can prevent its infectious spread.

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Using a novel economic-epidemiological model, researchers examine the health and economic impacts that could have occurred if California took a 'business-as-usual' approach to the COVID-19 pandemic.

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A team of researchers has developed a machine learning model that draws from the contents of news articles to effectively predict locations that face risks of food insecurity. The model, which could be used to help prioritize the allocation of emergency food assistance across vulnerable regions, marks an improvement over existing measurements.

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Mathematical research brings new understanding of crowd formation and behavior.

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A new study finds that high school students identify more with math if they see their math teacher treating everyone in the class equitably, especially in racially diverse schools. While the relationship between teacher equity and math identity was evident across races, there was an interesting exception. Black students, in general, had strong math identities, regardless of their teacher's actions.  Learning about the factors that affect student math identity is important because a student's attitude towards the subject influences the courses that they take as well as their future career selections. This study suggests that teachers may have a larger role to play in helping students develop a positive math identity than previously recognized.

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Astrophysicists have discovered the tightest ultracool dwarf binary system ever observed. The two stars are so close that it takes them less than one Earth day to revolve around each other. In other words, each star's 'year' lasts just 17 hours.