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Categories: Ecology: Animals, Mathematics: Modeling

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Using ensemble learning techniques and longitudinal data from a large naturalistic driving study, researchers have developed a novel, interpretable and highly accurate algorithm for predicting mild cognitive impairment and dementia in older drivers. Digital markers refer to variables generated from data captured through recording devices in the real-world setting. These data could be processed to measure driving behavior, performance and tempo-spatial pattern in exceptional detail.

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It was the height of summer 2022 when the calls started coming in. Scores of dead deer suddenly littered rural properties and park preserves, alarming the public and inconveniencing landowners. According to officials at the Urbana Park District, it was Epizootic Hemorrhagic Disease (EHD), a midge-borne viral illness that pops up in white-tailed deer populations around the state every few years. And when susceptible deer are infected, they die within days. Now, scientists have found gene variants in deer associated with the animals' susceptibility to EHD.

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Biologists use current and historical bird surveys to reveal how land use change has amplified -- and in some cases mitigated -- the impacts of climate change on bird populations in Los Angeles and the Central Valley over the past century. The study found that urbanization and much hotter and drier conditions in L.A. have driven declines in more than one-third of bird species in the region.

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Researchers have created and preliminarily tested what they believe may be one of the first models for predicting who has the highest probability of being resistant to COVID-19 in spite of exposure to SARS-CoV-2, the virus that causes it.

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Aquaculture, or the farming of aquatic plants and animals, contributes to biodiversity and habitat loss in freshwater and marine ecosystems globally, but when used wisely, it can also be part of the solution, new research shows.

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The redox regulation mechanism responsible for efficient production of ATP under varying light conditions in photosynthetic organisms has now been unveiled. Researchers investigated the enzyme responsible for this mechanism and uncovered how the amino acid sequences present in the enzyme regulate ATP production. Their findings provide valuable insights into the process of photosynthesis and the ability to adapt to changing metabolic conditions.

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Scientists have published the first record of a noble false widow spider feeding on a pygmy shrew, a species of tiny mammal protected in Ireland. The pygmy shrew -- a protected mammal -- was captured on spider's web on a bedroom window, then paralyzed and hoisted to its doom by the invasive spider.

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Researchers have generated the first induced pluripotent stem cells (iPSCs) from bats, gaining valuable insights into the close relationship between bats and viruses.

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Not all Chinook salmon are created equal, and this has a major impact on the energetics for southern resident killer whales. A recent study quantified the lipid content in Fraser River Chinook salmon -- the southern resident's preferred meal -- and found that spring-run Chinook salmon, the earliest to arrive to the Salish Sea are lipid-rich and energy dense; a critical factor for the killer whales who prey on them. Fraser River Chinook salmon that come later in the season have lower energy density.

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Language models that generate text in response to user prompts plagiarize content in more ways than one, according to a research team that conducted a study to directly examine the phenomenon.

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New research shows that the feathers of seabirds such as the Wandering Albatross can provide clues about their long-distance foraging, which could help protect these species from further decline.

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Groups of spiders could be used as an environmentally-friendly way to protect crops against agricultural pests. That's according to new research which suggests that web-building groups of spiders can eat a devastating pest moth of commercially important crops like tomato and potato worldwide.

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Researchers have confirmed the first cases of canine distemper virus (CDV), which can cause fatal neurological disease, in tigers and leopards in Nepal.

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Using artificial intelligence (AI), researchers can now follow cell movement across time and space. The method could be very helpful for developing more effective cancer medications.

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Researchers used computational modeling to uncover mutations in the human genome that likely influenced the evolution of human cognition. This groundbreaking research in human genomics could lead to a better understanding of human health and the discovery of novel treatments for complex brain disorders. The study is to be published in Science Advances.

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A new study finds that a 200-year-old technique called Fourier analysis can reveal crucial information about how the form of artificial intelligence called deep neural networks (DNN) learn to perform tasks involving complex physics. Researchers discovered the technique can directly connect what a DNN has learned to the physics of the complex system the DNN is modeling.

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When patients receive care after cardiac arrest, doctors can now -- by entering patient data in a web-based app -- find out how thousands of similar patients have fared. Researchers have developed three such systems of decision support for cardiac arrest that may, in the future, make a major difference to doctors' work.

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Computer software can predict what happens to complex gene networks when individual genes are missing or dialed up more than usual. Mapping the roles of single genes in these networks is key to understanding healthy development and finding ways to regrow damaged cells and tissues. Understanding genetic errors could provide insight into birth defects, miscarriage or even cancer.

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Researchers have explained how large language models like GPT-3 are able to learn new tasks without updating their parameters, despite not being trained to perform those tasks. They found that these large language models write smaller linear models inside their hidden layers, which the large models can train to complete a new task using simple learning algorithms.

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Researchers recently modeled the transmission of COVID-19 within an isolation room at the Royal Brompton Hospital in London, U.K. Their goal was to explore the optimal room layout to reduce the risk of infection for health care staff.