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Categories: Geoscience: Geography, Mathematics: Modeling

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Researchers have developed an easy-to-use tool that enables someone to perform complicated statistical analyses on tabular data using just a few keystrokes. Their method combines probabilistic AI models with the programming language SQL to provide faster and more accurate results than other methods.

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Researchers developed TetrapodTraits -- a global database of animals with four feet -- which can now be applied for better ecology, evolution and conservation research.

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A new study reveals that the rare Desertas Petrels (Pterodroma deserta), a wide-ranging seabird in the North Atlantic, exhibit unique foraging behaviors during hurricane season. Contrary to other pelagic seabirds, these petrels do not avoid intense tropical cyclones but instead exploit the dynamic conditions for their benefit, providing new insights into the impact of cyclones on open ocean marine life.

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An artificial intelligence (AI) model that can estimate with high accuracy a person's lung function just by using a chest radiograph has been successfully developed.

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Scientists may have to rethink the relationship between the ocean's circulation and its long-term capacity to store carbon, new research suggests. As the ocean gets weaker, it could release more carbon from the deep ocean into the atmosphere -- rather than less, as some have predicted.

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While, in theory, precipitation impacts the Earth's radiation budget, the radiative effects of precipitation (REP) are poorly understood and excluded from most climate models. Hence, a new study examined the role of REP in the global and regional energy budgets and hydrological cycles, finding that REP significantly contributes to temperature and precipitation variations at different geographical scales, especially in the Arctic warming. This highlights the relevance of including REP in climate modeling for improved accuracy.

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In recent years global warming has left its mark on the Antarctic ice sheets. The 'eternal' ice in Antarctica is melting faster than previously assumed, particularly in West Antarctica more than East Antarctica. The root for this could lie in its formation, as an international research team has now discovered: sediment samples from drill cores combined with complex climate and ice-sheet modelling show that permanent glaciation of Antarctica began around 34 million years ago -- but did not encompass the entire continent as previously assumed, but rather was confined to the eastern region of the continent (East Antarctica).

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Drosophila -- known as fruit flies -- are a valuable model for human heart pathophysiology, including cardiac aging and cardiomyopathy. However, a choke point in evaluating fruit fly hearts is the need for human intervention to measure the heart at moments of its largest expansion or its greatest contraction to calculate cardiac dynamics. Researchers now show a way to significantly cut the time needed for that analysis while utilizing more of the heart region, using deep learning and high-speed video microscopy.

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Physicists have developed a computer program incorporating machine learning that could help identify blobs of plasma in outer space known as plasmoids. In a novel twist, the program has been trained using simulated data.

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Climate change is likely to drive tree species towards colder and wetter regions.

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Researchers have found that the early onset of El Nino around June leads to warm winter climates in Japan, while the late onset of El Nino is associated with colder winters. By analyzing 100-ensemble member climate simulations over the past 61 years, the team found that the warming of the tropical Indian Ocean was a player in warmer Japanese winters.

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Physicists have made a significant breakthrough in solar cell technology by developing a new analytical model that improves the understanding and efficiency of thin-film photovoltaic (PV) devices.

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Melting of glaciers in a major Alaskan icefield has accelerated and could reach an irreversible tipping point earlier than previously thought. The research found that glacier loss on Juneau Icefield, which straddles the boundary between Alaska and British Columbia, Canada, has increased dramatically since 2010. The team looked at records going back to 1770 and identified three distinct periods in how icefield volume changed. In particular, they found that icefield-wide, rates of glacier area shrinkage were five times faster from 2015-2019 relative to 1948-1979. The research team say that current published projections for the Juneau icefield may need to be updated to reflect the processes detailed in this latest study.

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A new study of coral reefs in Papua New Guinea shows ocean acidification simplifies coral structure, making crucial habitat less appealing to certain fish species.

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Increased atmospheric moisture may alter critical weather patterns over Africa, making it more difficult for the predecessors of many Atlantic hurricanes to form, according to a new study.

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A new study challenges the common theory that the devastating potato blight pathogen Phytophthora infestans originated in Mexico. Researchers meticulously reconstructed its global migration history and found it likely originated in the South American Andes before spreading globally. This research provides significant insights into the pathogen's evolutionary journey, which is crucial for developing better disease management strategies worldwide.

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GPS tracking collars have revealed how newly reintroduced eastern quolls are settling in at Mulligans Flat Woodland Sanctuary in Canberra, with quolls who were born at the sanctuary accepting their new neighbors with open paws.

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AI model finds the cancer clues at lightning speed. Researchers have developed an AI model that increases the potential for detecting cancer through sugar analyses. The AI model is faster and better at finding abnormalities than the current semi-manual method.

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Hydrothermal vents can be found around the world at the junctions of drifting tectonic plates. But there are many hydrothermal fields still to be discovered. During a 2022 expedition of the MARIA S. MERIAN, the first field of hydrothermal vents on the 500-kilometer-long Knipovich Ridge off the coast of Svalbard was discovered.

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Researchers have developed a novel deep learning algorithm that outperformed existing computer-based osteoporosis risk prediction methods, potentially leading to earlier diagnoses and better outcomes for patients with osteoporosis risk.