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Categories: Ecology: Trees, Mathematics: Modeling

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These reptiles move around tree trunks to seek warmth or shade. With trees disappearing, they would have trouble controlling their body temperature, a new study shows.

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A new study found differences at the cellular level of leaves from infected Beech trees -- variations that may account for tree mortality.

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Researchers have developed an artificial intelligence model that can accurately identify tumors and diseases in medical images. The tool draws a map to explain each diagnosis, helping doctors follow its line of reasoning, check for accuracy, and explain the results to patients.

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After one of the most intense cyclones in world history tore through the Pacific island of Tanna in Vanuatu, new research showed the resilience of the island's forests.

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Bugs including hoverflies, lacewings and ladybirds play an important role in keeping Britain's apples healthy, a new study has shown.

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Human coexistence depends on cooperation. Individuals have different motivations and reasons to collaborate, resulting in social dilemmas, such as the well-known prisoner's dilemma. Scientists now present a new mathematical principle that helps to understand the cooperation of individuals with different characteristics.

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Medical summarization, a process that uses artificial intelligence (AI) to condense complex patient information, is currently used in health care settings for tasks such as creating electronic health records and simplifying medical text for insurance claims processing. While the practice is intended to create efficiencies, it can be labor-intensive, according researchers who created a new method to streamline the way AI creates these summaries, efficiently producing more reliable results.

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The effects of a phenomenon called tree masting on ecosystems and food webs can be better understood thanks to new theoretical models validated by real world observations.

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Fashioned from the same element found in sand and covered by intricate patterns, microchips power smartphones, augment appliances and aid the operation of cars and airplanes. Now, scientists are developing computer simulation codes that will outperform current simulation techniques and aid the production of microchips using plasma, the electrically charged state of matter also used in fusion research. These codes could help increase the efficiency of the manufacturing process and potentially stimulate the renaissance of the chip industry in the United States.

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Single-molecule magnets (SMMs) are exciting materials. In a recent breakthrough, researchers have used deep learning to predict SMMs from 20,000 metal complexes. The predictions were made solely based on the crystal structures of these metal complexes, thus eliminating the need for time-consuming experiments and complex simulations. As a result, this method is expected to accelerate the development of functional materials, especially for high-density memory and quantum computing devices.

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Researchers have developed a powerful new artificial intelligence model that can distinguish between male and female brains.

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Engineers have developed a new chip that uses light waves, rather than electricity, to perform the complex math essential to training AI. The chip has the potential to radically accelerate the processing speed of computers while also reducing their energy consumption.

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New research reveals the scale of inappropriate reforestation projects across Africa. A new study reveals that an area the size of France is threatened by forest restoration initiatives, such as the AFR100 initiative (African Forest Landscape Restoration Initiative), due to inappropriate restoration in the form of tree-planting.

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Researchers have identified significant differences between the diversity of gut bacteria in grey squirrels compared to red squirrels which could hold the key to further understanding the ability of grey squirrels to outcompete red squirrels in the UK.

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Global warming may be interacting with regional rainfall and deforestation to accelerate forest loss in the Amazon, pushing it towards partial or total collapse. New research has identified the potential thresholds of these stressors, showing where their combined effects could produce a 'tipping point' -- in which the forest is so fragile that just a small disturbance could cause an abrupt shift in the state of the ecosystem.

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Engineers have studied how insects navigate, for the purpose of developing energy-efficient robots.

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In an image, estimating the distance between objects and the camera by using the blur in the images as clue, also known as depth from focus/defocus, is essential in computer vision. However, model-based methods fail when texture-less surfaces are present, and learning-based methods require the same camera settings during training and testing. Now, researchers have come up with an innovative strategy for depth estimation that combines the best of both the worlds to solve these limitations, extending the applicability of depth from focus/defocus.

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The past year has seen major advances in Large Language Models (LLMs) such as ChatGPT. The ability of these models to interpret and produce human text sources (and other sequence data) has implications for people in many areas of human activity. A new perspective paper argues that like many professionals, neuroscientists can either benefit from partnering with these powerful tools or risk being left behind.

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The Greenland ice sheet lies thousands of miles from North America yet holds clues to the distant continent's environmental history. Nearly two miles thick in places, the ice sheet grows as snow drifts from the sky and builds up over time. But snow isn't the only thing carried in by air currents that swirl around the atmosphere, with microscopic pollen grains and pieces of ash mixing with snowfall and preserving records of the past in the ice. A new study examined these pollen grains and identified how eastern Canada's forests grew, retreated, and changed through time.

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Researchers have developed a machine learning approach to compressing image data with greater accuracy than learning-free computation methods, with applications for retinal implants and other sensory prostheses.