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Categories: Ecology: Trees, Mathematics: Modeling

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Scientists develop computer models of patients' eyes to identify the ideal intraocular lenses and visual simulators for patients to experience how they will see with them.

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Trees depend on fungi for their well-being. As climate change and global warming cause higher temperatures and amplified drought, little is known about how these important fungi will respond. To investigate this issue, a research team conducted a climate change experiment where they exposed boreal and temperate tree species to warming and drought treatments to better understand how fungi and their tree hosts respond to environmental changes. Their findings revealed that the combined effects of warming and water stress will likely result in major disturbances of ectomycorrhizal networks and may harm forest resilience and function.

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Plants are often attributed with abilities similar to those known in the animal or human world. Trees are said to have feelings and can therefore care for their offspring, like mothers. Researchers analyzed the claims in two popular publications on forests and reached the conclusion that conjecture is equated with fact. They warn against 'anthropomorphizing' plants.

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Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less training data than is normally expected.

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Creating physical gaps in the forest canopy give eastern hemlocks more access to resources and help those trees withstand infestation by an invasive insect.

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The research team generated a series of fire susceptibility maps. These show the proportion of Australia experiencing 'high' or 'very high' fire susceptibility increasing from 14.9% now to 15.66% by 2070 -- while fire susceptibility of areas suitable for the plants that koalas depend on is tipped to jump from 39.56% to 44.61% by 2070.

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• Twenty-year experiment finds that active replanting beats natural recovery for restoring logged tropical forests. • The higher the diversity of replanted tree species, the more quickly canopy area and biomass recovered. • Results emphasize the importance of preserving biodiversity in pristine forests and restoring it in recovering logged forest.

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A major new study has revealed that American teenagers are more likely than any other nationality to brag about their math ability.

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With Style2Fab, makers can rapidly customize models of 3D-printable objects, such as assistive devices, without hampering their functionality.

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The era of artificial-intelligence chatbots that seem to understand and use language the way we humans do has begun. Under the hood, these chatbots use large language models, a particular kind of neural network. But a new study shows that large language models remain vulnerable to mistaking nonsense for natural language. To a team of researchers, it's a flaw that might point toward ways to improve chatbot performance and help reveal how humans process language.

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To obtain the biggest cherry harvest, trees should be pollinated by both honey bees and mason bees. This new study shows yet another benefit of biodiversity.

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Scientists have confirmed that human brains are naturally wired to perform advanced calculations, much like a high-powered computer, to make sense of the world through a process known as Bayesian inference.

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To address the lack of suitable training data for deep-learning semantic segmentation models in urban landscaping, researchers developed a method that generates a training dataset without the need for real images or a model of an existing city. The method, which is based on procedural modelling and image-to-image techniques, enables segmentation models to achieve comparable performance under some conditions at a fraction of the cost of real dataset generation.

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Researchers have developed a new simulation model, which can predict flooding during an ongoing disaster more quickly and accurately than currently possible.

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A new artificial intelligence tool can help people with Parkinson's disease remotely assess the severity of their symptoms within minutes. While expert neurologists performed slightly better than the AI model, the AI model outperformed the primary care physicians with UPDRS certification.

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New research shows that, in addition to trees, humble grasses also play an essential role in capturing carbon.

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As the climate and wildfire crises have intensified, so too have concerns regarding the loss of carbon captured and stored in forests from decades to centuries of tree growth. A new study describes where to optimize ongoing wildfire mitigation efforts and reduce carbon loss due to wildfire, benefitting communities and climate at the same time. The study evaluated where living trees and the carbon they store are at risk of burning in the future. They then compared these areas to communities that are vulnerable to wildfire as identified in the Forest Service's Wildfire Crisis Strategy. Areas of overlap highlight 'opportunity hot spots' where action can reduce the risk from wildfire to both carbon and communities.

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Researchers report that the flexible shoulders and elbows that allow us to throw a football or reach a high shelf may have evolved as a natural braking system that let our primate ancestors get out of trees without dying. The researchers used sports-analysis software to compare the climbing movements of chimpanzees and small monkeys called mangabeys. While the animals climb up trees similarly, the researchers found that the shallow, rounded shoulder joints and shortened elbow bones that chimps have -- similar to humans -- allow them to fully extend their arms above their heads when climbing down, holding onto branches like a person going down a ladder to support their greater weight. When early humans left forests for the grassy savanna, these versatile appendages would have been essential for gathering food and using tools for hunting and defense. The findings are among the first to identify the significance of 'downclimbing' in the evolution of apes and early humans.

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A team of scientists developed a new machine learning model for discovering critical-element-free permanent magnet materials based on the predicted Curie temperature of new material combinations.

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By adding a naturally-occurring polymer that makes wood more porous, scientists have engineered trees easier to disassemble into simpler building blocks.