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Categories: Mathematics: Modeling, Paleontology: Early Mammals and Birds

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Anthropologists have long thought that our ape ancestors evolved an upright torso in order to pick fruit in forests, but new research from the University of Michigan suggests a life in open woodlands and a diet that included leaves drove apes' upright stature.

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The ancestors of modern mammals managed to evolve into one of the most successful animal lineages -- the key was to start out small and simple, a new study reveals.

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A team of researchers compared the genomes of woolly mammoths with modern day elephants to find out what made woolly mammoths unique, both as individuals and as a species. The investigators report that many of the woolly mammoth's trademark features -- including their woolly coats and large fat deposits -- were already genetically encoded in the earliest woolly mammoths, but these and other traits became more defined over the species' 700,000+ year existence. They also identified a gene with several mutations that may have been responsible for the woolly mammoth's miniscule ears.

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In an advance they consider a breakthrough in computational chemistry research, chemical engineers have developed a model of how catalytic reactions work at the atomic scale. This understanding could allow engineers and chemists to develop more efficient catalysts and tune industrial processes -- potentially with enormous energy savings, given that 90% of the products we encounter in our lives are produced, at least partially, via catalysis.

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Scientists analyzed each element of the neutrino mass matrix belonging to leptons and showed theoretically that the intergenerational mixing of lepton flavors is large. Furthermore, by using the mathematics of random matrix theory, the research team was able to demonstrate, as much as is possible at this stage, why the calculation of the squared difference of the neutrino masses are in close agreement with the experimental results in the case of the seesaw model with the random Dirac and Majorana matrices. The results of this research are expected to contribute to the further development of particle theory research, which largely remains a mystery.

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An international research team has determined that Troodon, a dinosaur very close to modern birds, was a warm-blooded animal (an endotherm), but had a reproductive system similar to that of modern reptiles. The scientists applied a new method which allowed for accurate determination of the temperature when the egg's carbonate shell was formed. Furthermore, the researchers showed that Troodon laid 4 to 6 eggs per clutch. As nests with up to 24 Troodon eggs had been found, the scientists conclude that several Troodon females laid their eggs in communal nests.

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A new study suggests that predatory dinosaurs, such as Tyrannosaurus rex, did not have permanently exposed teeth as depicted in films such as Jurassic Park, but instead had scaly, lizard-like lips covering and sealing their mouths.

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Researchers used computational modeling to reveal finer details surrounding the outer shell of the COVID-19 virus. The work expands the scientific community's understanding of SARS-COV-2, and could lead to more refined antiviral therapies and better vaccines.

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Artificial intelligence technologies like ChatGPT are seemingly doing everything these days: writing code, composing music, and even creating images so realistic you'll think they were taken by professional photographers. Add thinking and responding like a human to the conga line of capabilities. A recent study proves that artificial intelligence can respond to complex survey questions just like a real human.

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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.

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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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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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A new study investigates how an extinct, carnivorous marsupial relative with canines so large they extended across the top of its skull could hunt effectively despite having wide-set eyes, like a cow or a horse. The skulls of carnivores typically have forward-facing eye sockets, or orbits, which helps enable stereoscopic (3D) vision, a useful adaptation for judging the position of prey before pouncing. Scientists studied whether the 'marsupial sabertooth' Thylacosmilus atrox could see in 3D at all.

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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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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 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.