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Astronomers dissect the anatomy of planetary nebulae using Hubble Space Telescope images

 E-Mail IMAGE: On the left is an image of the Jewel Bug Nebula (NGC 7027) captured by the Hubble Space Telescope in 2019 and released in 2020. Further analysis by researchers produced. view more  Credit: STScI, Alyssa Pagan Images of two iconic planetary nebulae taken by the Hubble Space Telescope are revealing new information about how they develop their dramatic features. Researchers from Rochester Institute of Technology and Green Bank Observatory presented new findings about the Butterfly Nebula (NGC 6302) and the Jewel Bug Nebula (NGC 7027) at the 237th meeting of the American Astronomical Society on Friday, Jan. 15. Hubble s Wide Field Camera 3 observed the nebulae in 2019 and early 2020 using its full, panchromatic capabilities, and the astronomers involved in the project have been using emission line images from near-ultraviolet to near-infrared light to learn more about their properties. The studies were first-of-their-kind panchromatic imaging surveys desig

Constructing termite turrets without a blueprint

Credit: (Image courtesy of Guy Theraulaz/Harvard SEAS) Following a series of studies on termite mound physiology and morphogenesis over the past decade, researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences have now developed a mathematical model to help explain how termites construct their intricate mounds. The research is published in the Proceedings of the National Academy of Sciences. Termite mounds are amongst the greatest examples of animal architecture on our planet, said L. Mahadevan, the Lola England de Valpine Professor of Applied Mathematics, of Organismic and Evolutionary Biology, and of Physics and lead author of the study. What are they for? How do they work? How are they built? These are the questions that have puzzled many scientists for a long time.

New management approach can help avoid species vulnerability or extinction

 E-Mail IMAGE: New research can help ecosystem managers identify species vulnerabilities and prevent populations from becoming at risk, like the endangered Mexican gray wolf. view more  Credit: U.S. Fish and Wildlife Service More than 3,000 animal species in the world today are considered endangered, with hundreds more categorized as vulnerable. Currently, ecologists don t have reliable tools to predict when a species may become at risk. A new paper published in Nature Ecology and Evolution, Management implications of long transients in ecological systems, focuses on the transient nature of species and ecosystem stability and illustrates how management practices can be adjusted to better prepare for possible system flips. Some helpful modeling approaches are also offered, including one tool that may help identify potentially endangered populations.

Simulating evolution to understand a hidden switch

 E-Mail IMAGE: Using computer simulations built on reasonable assumptions and conducted under careful control, computational bioscientists can mimic real biological conditions. Starting with the original founding population (ancient phase), they can evolve. view more  Credit: © 2021 KAUST; Anastasia Serin Computer simulations of cells evolving over tens of thousands of generations reveal why some organisms retain a disused switch mechanism that turns on under severe stress, changing some of their characteristics. Maintaining this hidden switch is one means for organisms to maintain a high degree of gene expression stability under normal conditions. Tomato hornworm larvae are green in warmer regions, making camouflage easier, but black in cooler temperatures so that they can absorb more sunlight. This phenomenon, found in some organisms, is called phenotypic switching. Normally hidden, this switching is activated in response to dangerous genetic or environmental chan

Borrowing from birds, experts reduce search times for novel high-entropy alloys to seconds

 E-Mail IMAGE: Computational materials scientists at Ames Laboratory developed an evolutionary algorithm, using a hybrid version of a computer program called Cuckoo Search (CS), which mimics the brood parasite behavior of cuckoo. view more  Credit: U.S. Department of Energy, Ames Laboratory Computational materials science experts at the U.S. Department of Energy s Ames Laboratory enhanced an algorithm that borrows its approach from the nesting habits of cuckoo birds, reducing the search time for new high-tech alloys from weeks to mere seconds. The scientists are investigating a type of alloys called high-entropy alloys, a novel class of materials that are highly sought after for a host of unusual and potentially beneficial properties. They are lightweight in relation to their strength, fracture-resistant, highly corrosion and oxidation resistant, and stand up well in high-temperature and high-pressure environments making them attractive materials for aerospace indust

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