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Categories: Mathematics: Modeling, Offbeat: Earth and Climate

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They bedeviled ancient Greek navies, helped shipwreck Christopher Columbus, aided in the sinking of the Spanish Armada and caused the wharves in San Francisco Bay to collapse into the sea, but until now, scientists have been unable to pinpoint exactly how shipworms -- a family of mollusks -- are able to cause such damage. A team of researchers has discovered that a population of symbiotic microbes, living in an overlooked sub-organ of the gut called the 'typhlosole,' have the ability to secrete the enzymes needed to digest lignin -- the toughest part of wood.

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Bronze cauldrons were used by the inhabitants of the Mongolian steppe around 2,700 years ago to process animal blood and milk. This is shown by a protein analysis of archaeological finds from this period.

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Giant viruses found on the Greenland ice sheet probably regulate the growth of snow algae on the ice by infecting them. Knowing how to control these viruses could help us reduce the rate of ice-melt.

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Have you ever wished you could understand what your dog is trying to say to you? Researchers are exploring the possibilities of AI, developing tools that can identify whether a dog's bark conveys playfulness or aggression.

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Researchers have developed a model that enables computers to interpret and understand human emotions, utilizing principles of mathematical psychology. In the future, the model can help the computer to adapt its own behavior and guide an irritated or anxious user in different ways. The implications of such technology are profound, offering a glimpse into a future where computers are not merely tools, but empathetic partners in user interaction.

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Floating solar photovoltaic panels could supply all the electricity needs of some countries, new research has shown. The researchers calculated the daily electrical output for floating photovoltaics (FPV) on nearly 68,000 lakes and reservoirs around the world, using available climate data for each location.

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Biological processes depend on puzzle pieces coming together and interacting. Under specific conditions, these interactions can create something new without external input. This is called self-organization, as seen in a school of fish or a flock of birds. Interestingly, the mammalian embryo develops similarly. Scientists now introduce a mathematical framework that analyzes self-organization from a single cell to a multicellular organism.

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A novel, human-inspired approach to training artificial intelligence (AI) systems to identify objects and navigate their surroundings could set the stage for the development of more advanced AI systems to explore extreme environments or distant worlds, according to new research.

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As more and more people drive electric cars, congestion and queues can occur when many people need to charge at the same time. A new study shows how AI-controlled charging stations, through smart algorithms, can offer electric vehicle users personalized prices, and thus minimize both price and waiting time for customers. But the researchers point to the importance of taking the ethical issues seriously, as there is a risk that the artificial intelligence exploits information from motorists.

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A team of researchers have developed a new machine-learning method that detects hate speech on social media platforms with 88 per cent accuracy, saving employees from hundreds of hours of emotionally damaging work.

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A whaler's forgotten aerial photos from 1937 have given researchers the most detailed picture of the ice evolution in East Antarctica to date. The results show that the ice has remained stable and even grown slightly over almost a century, though scientists observe early signs of weakening. The research offers new insights that enhance predictions of ice changes and sea level rise.

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Researchers recently published findings that could lay the groundwork for applying quantum computing methods to protein structure prediction.

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Researchers demonstrated a quantum algorithmic speedup with the quantum approximate optimization algorithm, laying the groundwork for advancements in telecommunications, financial modeling, materials science and more.

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Researchers have developed an assistive machine learning model that greatly improves the ability of medical professionals to read the electroencephalography (EEG) charts of intensive care patients. Because EEG readings are the only method for knowing when unconscious patients are in danger of suffering a seizure or are having seizure-like events, the computational tool could help save thousands of lives each year.

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Advances in electrochromic coatings may bring us closer to environmentally friendly ways to keep inside spaces cool. Like eyeglasses that darken to provide sun protection, the optical properties of these transparent films can be tuned with electricity to block out solar heat and light. Now, researchers report demonstrating a new electrochromic film design based on metal-organic frameworks (MOFs) that quickly and reliably switch from transparent to glare-diminishing green to thermal-insulating red.

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Orchid plants nurture their seedlings via an underground fungal network, new research has revealed.

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Most native species avoid more urbanized areas of Los Angeles, but slugs and snails may actually prefer these environments, according to a new study.

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Corals play an essential role in ocean ecosystems, and like many organisms, they are under threat from climate change and other human activities. To better protect coral, it's first necessary to understand them, in particular their reproductive life cycle, which only happens once a year. For the first time, researchers have produced a model for coral spawning, based on various environmental factors. They achieved this by tapping an often overlooked source of aquatic knowledge, an aquarium.

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Researchers developed a computer vision framework for posture estimation and identity tracking which they can use in indoor environments as well as in the wild. They have thus taken an important step towards markerless tracking of animals in the wild using computer vision and machine learning.

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With generative artificial intelligence (GenAI) transforming the social interaction landscape in recent years, large language models (LLMs), which use deep-learning algorithms to train GenAI platforms to process language, have been put in the spotlight. A recent study found that LLMs perform more like the human brain when being trained in more similar ways as humans process language, which has brought important insights to brain studies and the development of AI models.