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Categories: Geoscience: Earth Science, Mathematics: Statistics

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Billions of sea anemones adorn the bottom of the Earth's oceans -- yet they are among the rarest of fossils because their squishy bodies lack easily fossilized hard parts. Now a team of paleontologists has discovered that countless sea anemone fossils have been hiding in plain sight for nearly 50 years. It turns out that fossils long-interpreted as jellyfish were anemones. To do so, a team of scientists has simply turned the ancient animals upside down.

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A research team has shed new light on the importance of plant roots for below-ground life, particularly in the tropics. Millions of small creatures toiling in a single hectare of soil including earthworms, springtails, mites, insects, and other arthropods are crucial for decomposition and soil health. For a long time, it was believed that leaf litter is the primary resource for these animals. However, this recent study is the first to provide proof that resources derived from plant roots drive soil animal communities in the tropics.

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The Phlegraean volcanic fields just west of Naples, Italy, are among the top eight emitters of volcanic carbon dioxide in the world. Since 2005, the Solfatara crater -- one of many circular depressions in the landscape left by a long history of eruptions --has been emitting increased volumes of gas. Today it emits 4,000-5,000 tons of carbon dioxide each day, equivalent to the emissions from burning ~500,000 gallons of gasoline. Researchers estimate that as much as 20%--40% of the current carbon dioxide emissions are from the dissolution of calcite in the rocks, while 60%--80% is from underground magma.

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Milutin Milankovitch hypothesized that the timing of glacial transitions has been controlled by the orbital parameters of the Earth, which suggests that there may be some predictability in the climate, a notoriously complex system. Now researchers propose a new paradigm to simplify the verification of the Milankovitch hypothesis. The new 'deterministic excitation paradigm' combines the physics concepts of relaxation oscillation and excitability to link Earth's orbital parameters and the glacial cycles in a more generic way.

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In a new study of daily ambient fine particulate matter (PM2.5) across the globe, a new study has found that only 0.18% of the global land area and 0.001% of the global population are exposed to levels of PM2.5 -- the world's leading environmental health risk factor -- below levels of safety recommended by Word Health Organization (WHO). Importantly while daily levels have reduced in Europe and North America in the two decades to 2019, levels have increased Southern Asia, Australia, New Zealand, Latin America and the Caribbean, with more than 70% of days globally seeing levels above what is safe.

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Mineral particles played a key role in raising oxygen levels in the Earth's atmosphere billions of years ago, with major implications for the way intelligent life later evolved, according to new research.

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Researchers have mapped the sparse life hidden away in salt domes, rocks and crystals at Salar de Pajonales at the boundary of the Chilean Atacama Desert and Altiplano. Then they trained a machine learning model to recognize the patterns and rules associated with their distributions so it could learn to predict and find those same distributions in data on which it was not trained. In this case, by combining statistical ecology with AI/ML, the scientists could locate and detect biosignatures up to 87.5 percent of the time and decrease the area needed for search by up to 97 percent.

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Scientists reveal new information about the role humans have played in large-scale land loss in the Mississippi River Delta -- crucial information in determining solutions to the crisis.

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A cheap charcoal air filter can reduce nitrogen dioxide (NO2) inside vehicles by as much as 90%, compared to levels outside the vehicle.

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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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Researchers tested a large sample of the major AI technologies available today and found that not only did they reproduce human biases in facial age recognition, but they exaggerated those biases.

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Synthetic populations are computer-generated models that mimic real-world populations in terms of characteristics such as age, gender, and occupation; they are useful when conducting social simulations. In a recent study, researchers developed a new approach to assign workplaces to individuals in a synthetic Japanese population with household information, based on ODI (Origin-Destination-Industry) data. Their efforts will enable more accurate, realistic simulations of the day-time distribution of workers in Japan, helping to improve decision-making and planning.

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A new paper presents a mathematical model for the motion of bacteria that includes cell division and death, the basic ingredients of the cell cycle.

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A new study shows machine-learning models trained using simple symptoms, demographic features are effective in predicting COVID-19 infections.

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A new statistical method provides a more efficient way to uncover biologically meaningful changes in genomic data that span multiple conditions -- such as cell types or tissues.

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America was unprepared for the magnitude of the pandemic, which overwhelmed many counties and filled some hospitals to capacity. A new study suggests there may have been a mathematical method, of sorts, to the madness of those early COVID days.

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People often wonder why one nutritional study tells them that eating too many eggs, for instance, will lead to heart disease and another tells them the opposite. The answer to this and other conflicting food studies may lie in the use of statistics, according to a new report.

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Researchers followed the birth and death of tens of thousands of nematode worms using the 'Lifespan Machine', which collects lifespan data at unprecedented statistical resolution. They found that worms have at least two distinct 'biological ages', and that these have consistent correlations between each other, suggesting the existence of an invisible hierarchical structure that regulates the ageing process. The findings challenge the idea of living organisms having a single, universal biological age. It also means mean that biomarkers used to assess biological age can be changed by interventions such as diet, exercise, or drug treatments without actually turning a 'fast ager' into a 'slow ager'. The study calls into question the use of ageing biomarkers -- what exactly are they measuring?

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The contact.engineering platform enables users to create a digital twin of a surface and thus to help predict, for example, how quickly it wears out, how well it conducts heat, or how well it adheres to other materials.

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A commentary advocates the proper application of artificial intelligence in healthcare and warns of the dangers when machine learning algorithms are misused.