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Categories: Ecology: Endangered Species, Mathematics: Modeling

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New research has shown that glossy black-cockatoos prefer to feed from trees growing in acidic soils.

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The need for a dramatic selfie or the perfect landscape photo is proving detrimental to nature, a new research collaboration has found.

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Machine learning is a powerful tool in computational biology, enabling the analysis of a wide range of biomedical data such as genomic sequences and biological imaging. But when researchers use machine learning in computational biology, understanding model behavior remains crucial for uncovering the underlying biological mechanisms in health and disease. Researchers now propose guidelines that outline pitfalls and opportunities for using interpretable machine learning methods to tackle computational biology problems.

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As our climate changes and soil salinity increases in many agricultural areas, finding crops that can thrive in these challenging conditions is crucial. Cultivated tomatoes, while delicious, often struggle in salty soils. Their wild cousins, however, have evolved to survive in diverse and often harsh environments. A recent study delved into the genetic treasure trove of wild tomatoes to uncover secrets of salt tolerance that could be used to develop resilient crop varieties.

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Researchers have discovered two proteins that work in tandem to control an important response to cell stress.

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How do foraging animals find their food? A new study shows that lemurs use smell, social cues, and long-term memory to locate hidden fruit -- a combination of factors that may have deep evolutionary roots.

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Fruit exist to invite animals to disperse the swallowed seeds. A research team found that plants targeting insects rather than birds or mammals for this service are more common than previously thought. These plants produce dust-like seeds and fruit suitable for the minute, ground-dwelling animals.

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A new paper describes a ground-breaking experiment that united 25 independent taxonomists from 10 countries. The initiative boasts the discovery of 11 new marine species from all over the globe, occurring at depths from 5.2 to 7081 meters. It also represents a significant step forward in accelerating the pace at which new marine species are described and published.

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To protect the Amazon and support the wellbeing of its people, its economy needs to shift from environmentally harmful production to a model built around the diversity of indigenous and rural communities, and standing forests.

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With GROVER, a new large language model trained on human DNA, researchers could now attempt to decode the complex information hidden in our genome. GROVER treats human DNA as a text, learning its rules and context to draw functional information about the DNA sequences.

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A new study highlights how a combination of environmental stressors -- namely plastic pollution and seawater flooding -- can increase the threats faced by plants in some of the planet's critical ecosystems. It showed that both stressors had some effects on the species tested, but being exposed to both microplastics and flooding together -- a threat likely to increase as a result of climate change and plastic use -- had a more pronounced impact on their resource allocation.

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Thermometer, a new calibration technique tailored for large language models, can prevent LLMs from being overconfident or underconfident about their predictions. The technique aims to help users know when a model should be trusted.

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Commercially important marine fish and invertebrate species will likely shift northwards under a warmer climate, according to new research.

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A new study places the origin of the Imazighen in the Epipaleolithic, more than twenty thousand years ago. The research concludes that the genetic origin of the current Arab population of north Africa is far more recent than previously believed, placing it in the seventh century AD. The team has designed an innovative demographic model that uses artificial intelligence to analyze the complete genomes of the two populations.

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Researchers and community scientists monitored urban milkweed plants for butterfly eggs to learn what makes these city gardens more hospitable to monarchs. They found that even tiny city gardens attracted monarchs and became a home to caterpillars.

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Clean energy investments offer potential stability and growth, especially during volatile market conditions. A recent study explored the relationship between clean energy markets and global stock markets. Significant spillovers were observed from major indices like the SP500 to markets such as Japan's Nikkei225 and Global Clean Energy Index. These interactions suggest opportunities for optimizing investment portfolios and leveraging clean energy assets as hedging tools in volatile market environments.

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Scientists are using new technology to help endangered animals by listening to their sounds.

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Researchers have found that training successive generations of generative artificial intelligence models on synthetic data gives rise to self-consuming feedback loops.

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Cotton is woven into the very fabric of our lives, from soft T-shirts to comfortable jeans and cozy bedsheets. It's the world's leading renewable textile fiber and the backbone of a global industry worth billions. As climate change intensifies, cotton farmers face increasing challenges from drought and heat. However, new research offers hope for developing more resilient varieties that can maintain high yields even under water-stressed conditions.

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Researchers argue that, in some situations where machine-learning models are used to allocate scarce resources or opportunities, randomizing decisions in a structured way may lead to fairer outcomes.