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Categories: Geoscience: Geochemistry, Mathematics: Modeling
Published Weaker ocean circulation could enhance carbon dioxide buildup in the atmosphere, study finds



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.
Published Exploring the radiative effects of precipitation on Arctic amplification and energy budget



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.
Published Deep machine-learning speeds assessment of fruit fly heart aging and disease, a model for human disease



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



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



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 Exploring the chemical space of the exposome: How far have we gone?



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 True scale of carbon impact from long-distance travel revealed



The reality of the climate impact of long-distance passenger travel has been revealed in new research.
Published Moving beyond the 80-year-old solar cell equation



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



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 Shrinking glaciers: Microscopic fungi enhance soil carbon storage in new landscapes created by shrinking Arctic glaciers



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 Novel spectroscopy technique sheds light on NOx reduction



The process that can convert pollution into benign by-products is called selective catalytic reduction, or SCR. Until now, it has been unclear how this reaction actually occurs, and contradictions have long existed between reaction models within the literature. Catalysis researchers used a technology called modulation excitation spectroscopy, or MES, to finally identify the correct pathway.
Published AI model finds the cancer clues at lightning speed



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 Melanin from cuttlefish ink as a sustainable biomass resource



Melanin is a ubiquitous compound in nature, produced by many organisms. However, its potential as a biomass resource to produce value-added chemicals and materials remains relatively unexplored. In a recent study, researchers investigated the chemical decomposition of melanin derived from cuttlefish ink and showcased its application in the synthesis of biopolymer films and particles. Their efforts will hopefully pave the way to the adoption of melanin upcycling.
Published Can A.I. tell you if you have osteoporosis? Newly developed deep learning model shows promise



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 Study reveals why AI models that analyze medical images can be biased



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



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 Synthetic fuels and chemicals from CO2: Ten experiments in parallel



Why do just one experiment at a time when you can do ten? Researchers have developed an automated system, which allows them to research catalysts, electrodes, and reaction conditions for CO2 electrolysis up to ten times faster. The system is complemented by an open-source software for data analysis.
Published Long-standing marine mystery solved: How algae get nitrogen to grow



Scientists shed light on an unexpected partnership: A marine diatom and a bacterium that can account for a large share of nitrogen fixation in vast regions of the ocean. This symbiosis likely plays a key role for global marine nitrogen fixation and productivity, and thus uptake of carbon dioxide. The newly-discovered bacterial symbiont is closely related to the nitrogen-fixing Rhizobia which live in partnership with many crop plants and may also open up new avenues for engineering nitrogen-fixing plants.
Published Groundbreaking discovery: Zinc can make crop yields more climate-resilient



Climate change, drought, increased temperature and other stressors challenge agricultural sustainability. Researchers have now made an unexpected discovery: zinc plays a pivotal role in the plant response to abiotic stress. This groundbreaking discovery not only sheds light on the intricate mechanisms of plant growth but also holds promise for revolutionizing crop resilience, especially in legume-based agriculture.
Published New deep-learning model outperforms Google AI system in predicting peptide structures



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.