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Categories: Geoscience: Earth Science, Mathematics: Modeling
Published How dust pollution from shrinking Great Salt Lake affects communities disproportionately
(via sciencedaily.com) Original source Exposure to wind-blown dust from exposed playa of the Utah lake is worse in Hispanic neighborhoods, according to new research. Findings suggest restoring the lake could ease social inequities associated with air pollution.
Published Deep machine-learning speeds assessment of fruit fly heart aging and disease, a model for human disease
(via sciencedaily.com) Original source 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.
Published Retreating glaciers: Fungi enhance carbon storage in young Arctic soils
(via sciencedaily.com) Original source Melting Arctic glaciers are in rapid recession, and microscopic pioneers colonize the new exposed landscapes. Researchers revealed that yeasts play an important role in soil formation in the Arctic.
Published Machine learning could aid efforts to answer long-standing astrophysical questions
(via sciencedaily.com) Original source 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.
Published Early-onset El Niño means warmer winters in East Asia, and vice versa
(via sciencedaily.com) Original source 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.
Published Study explores what motivates people to watch footage of disasters and extreme weather
(via sciencedaily.com) Original source The release in July 2024 of the blockbuster film Twisters (centred around a social-media celebrity storm-chaser) demonstrates an ongoing public fascination in hazards and extreme weather. The arrival of camera and streaming technologies have made it easier to collect and share such footage in recent years, resulting in often dramatic footage being live-streamed on platforms such as YouTube, TikTok and Discord. Now, a new study has analyzed what might be motivating people to watch these streams -- in some instances for up to 12 hours at a time.
Published Exploring the chemical space of the exposome: How far have we gone?
(via sciencedaily.com) Original source Scientists have taken on the daunting challenge of mapping all the chemicals around us. They take inventory of the available science and conclude that currently a real pro-active chemical management is not feasible. To really get a grip on the vast and expanding chemical universe, they advocate the use of machine learning and AI, complementing existing strategies for detecting and identifying all molecules we are exposed to.
Published Moving beyond the 80-year-old solar cell equation
(via sciencedaily.com) Original source 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.
Published Organic material from Mars reveals the likely origin of life's building blocks
(via sciencedaily.com) Original source Two samples from Mars together deliver clear evidence of the origin of Martian organic material. The study presents solid evidence for a prediction made over a decade ago that could be key to understanding how organic molecules, the foundation of life, were first formed here on Earth.
Published Ocean acidification turns fish off coral reefs
(via sciencedaily.com) Original source 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.
Published Dampening the 'seeds' of hurricanes
(via sciencedaily.com) Original source 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.
Published Shrinking glaciers: Microscopic fungi enhance soil carbon storage in new landscapes created by shrinking Arctic glaciers
(via sciencedaily.com) Original source Shrinking glaciers expose new land in the Arctic, creating unique ecosystems. Researchers studied how microbes colonize these barren landscapes. The study reveals a crucial role for specific fungal species in capturing and storing carbon in the newly formed soil. These findings suggest fungi are essential for future carbon storage in the Arctic as glaciers continue to recede.
Published Researchers identify unique survival strategies adopted by fish in the world's warmest waters
(via sciencedaily.com) Original source A team of researchers have identified unexpected ways coral reef fish living in the warmest waters on earth, in the Arabian Gulf, have adapted to survive extreme temperatures.
Published Sixty-million-year-old grape seeds reveal how the death of the dinosaurs may have paved the way for grapes to spread
(via sciencedaily.com) Original source Scientists discovered the oldest fossil grapes in the Western Hemisphere, which help show how after the death of the dinosaurs, grapes spread across the world.
Published AI model finds the cancer clues at lightning speed
(via sciencedaily.com) Original source 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.
Published Can A.I. tell you if you have osteoporosis? Newly developed deep learning model shows promise
(via sciencedaily.com) Original source 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.
Published Ecologists reconstruct the history of biodiversity in the Indo-Australian archipelago and its rise as a hotspot
(via sciencedaily.com) Original source The Coral Triangle, also known as the Indo-Australian Archipelago, is renowned for having the greatest marine biodiversity on our planet. Despite its importance, the detailed evolutionary history of this biodiversity hotspot has remained largely a mystery. An international research team has now shed light on this history, reconstructing how biodiversity in the region has developed over the past 40 million years.
Published Study reveals why AI models that analyze medical images can be biased
(via sciencedaily.com) Original source Researchers have found that artificial intelligence models that are most accurate at predicting race and gender from X-ray images also show the biggest 'fairness gaps' -- that is, discrepancies in their ability to accurately diagnose images of people of different races or genders.
Published Climate change to shift tropical rains northward
(via sciencedaily.com) Original source Atmospheric scientists predict that unchecked carbon emissions will force tropical rains to shift northward in the coming decades, which would profoundly impact agriculture and economies near the Earth's equator. The northward rain shift would be spurred by carbon emissions that influence the formation of the intertropical convergence zones that are essentially atmospheric engines that drive about a third of the world's precipitation.
Published New deep-learning model outperforms Google AI system in predicting peptide structures
(via sciencedaily.com) Original source Researchers have developed a deep-learning model, called PepFlow, that can predict all possible shapes of peptides -- chains of amino acids that are shorter than proteins, but perform similar biological functions. Peptides are known to be highly flexible, taking on a wide range of folding patterns, and are thus involved in many biological processes of interest to researchers in the development of therapeutics.