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Categories: Mathematics: Modeling, Offbeat: Earth and Climate

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The chance discovery of a note written in a 15th century Hebrew prayer book fills an important gap in the historical Italian earthquake record, offering a brief glimpse of a previously unknown earthquake affecting the Marche region in the central Apennines.  

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The remnants of an ancient planet that collided with Earth to form the Moon lie deep within the earth, according to a new model.

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Sunflowers famously turn their faces to follow the sun as it crosses the sky. But how do sunflowers 'see' the sun to follow it? Plant biologists show that they use a different, novel mechanism from that previously thought.

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New studies support the idea that the brain uses a process similar to a machine-learning approach known as 'self-supervised learning.' This type of machine learning allows computational models to learn about visual scenes based solely on the similarities and differences between them, with no labels or other information.

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As urbanization advances around the globe, the quality of the urban physical environment will become increasingly critical to human well-being and to sustainable development initiatives. However, measuring and tracking the quality of an urban environment, its evolution and its spatial disparities is difficult due to the amount of on-the-ground data needed to capture these patterns.

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Scrape, cluck, lay eggs -- that's it? Anyone involved in chicken farming knows that the animals are capable of much more. Researchers have found evidence that roosters could recognize themselves in a mirror. Whether this is successful, however, depends on the experimental conditions -- a finding that points beyond the experiment with roosters and could also be of importance for other animal species.

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New research suggests that increasingly severe weather driven by climate change may push oceangoing seabirds to their limits.  

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Researchers report that a single, simplified model can predict population fluctuations in three unrelated realms: urban employment, human gut microbiomes and tropical forests. The model will help economists, ecologists, public health authorities and others predict and respond to variability in multiple domains.

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Recently discovered microfossils date back half a billion years. Resembling modern-day algae, they provide insight into early life in our oceans.

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A team has identified several factors to help answer a fundamental ecological question: why is there a ridiculous abundance of species some places on earth and a scarcity in others? What factors, exactly, drive animal diversity? They discovered that what an animal eats (and how that interacts with climate) shapes Earth's diversity.

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What if your house plant could tell you your water isn't safe? Scientists are closer to realizing this vision, having successfully engineered a plant to turn beet red in the presence of a banned, toxic pesticide. 

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A new study reveals the pitfalls of deep generative models when they are tasked with solving engineering design problems. The researchers say if mechanical engineers want help from AI for novel ideas and designs, they'll have to refocus those models beyond 'statistical similarity.' 

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An international team of scientists has recently developed a novel type of nano engine made of DNA. It is driven by a clever mechanism and can perform pulsing movements. The researchers are now planning to fit it with a coupling and install it as a drive in complex nano machines.

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Proteins are important molecules that perform a variety of functions essential to life. To function properly, many proteins must fold into specific structures. However, the way proteins fold into specific structures is still largely unknown. Researchers have developed a novel physical theory that can accurately predict how proteins fold. Their model can predict things previous models cannot. Improved knowledge of protein folding could offer huge benefits to medical research, as well as to various industrial processes.

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Computational models of hearing and vision can build up their own idiosyncratic 'invariances' -- meaning they respond the same way to stimuli with very different features, according to scientists.

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The synovium is a membrane-like structure that lines the knee joint and helps to keep the joint happy and healthy, mainly by producing and maintaining synovial fluid. Inflammation of this tissue is implicated in the onset and progression of arthritic diseases such as rheumatoid and osteoarthritis. Therefore, treatments that target the synovium are promising in treating these diseases. However, we need better models in the laboratory that allow us to find and test new treatments. We have developed an organ-on-a-chip based model of the human synovium, and its associated vasculature, to address this need.

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Artificial intelligence, AI, which finds patterns in complex biological data could eventually contribute to the development of individually tailored healthcare. Researchers have developed an AI-based method applicable to various medical and biological issues. Their models can for instance accurately estimate people's chronological age and determine whether they have been smokers or not.

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Evolutionary biologists have for the first time decoded the genetic lineage of a famous killer whale and a pod that once worked alongside whale hunters off the coast of Australia. In the Australian tradition of claiming New Zealand's celebrities as its own, Old Tom, the leader of a pod of killer whales that famously helped whalers hunt baleen whales in the 20th century, has ancestral links to modern-day killer whales in New Zealand, according to new DNA research. Old Tom also shared a common ancestor with killer whales from Australasia, the North Pacific, and North Atlantic Oceans, but is most similar to modern New Zealand killer whales. However, most of Tom's DNA code is not found in other killer whales globally suggesting that the killer whales of Eden may have become extinct locally.

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Models built on machine learning in health care can be victims of their own success, according to researchers. Their study assessed the impact of implementing predictive models on the subsequent performance of those and other models.

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Scientists have developed new tools, based on AI language models, that can characterize subtle signatures in the speech of patients diagnosed with schizophrenia.