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Children on the autism spectrum, often at odds with their own emotions, may find help in an unlikely place: their own inner voice. A team from the University of Pittsburgh and collaborators tested a novel intervention designed to train autistic children in developing internal speech—and the results suggest it may reduce emotional dysregulation.

Emotional outbursts and difficulty with can disrupt the lives of many and their families. Traditional therapies rarely focus on the language children use with themselves, the internal dialogue that helps regulate emotion and behavior in neurotypical development.

Prior research has shown inner speech supports problem-solving and , yet many seem to lack this internal toolset.

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The plasma membrane (PM) of eukaryotic cells is constantly exposed to many challenges that can cause wounds that necessitate rapid and efficient repair mechanisms to ensure cell survival. PM wound repair not only encompasses the immediate resealing of the membrane barrier, which involves exocytosis of internal vesicles to deliver membrane, but also subsequent processes that are essential to restore cellular homeostasis. These include restoration of membrane and cortical cytoskeleton structures, as well as replenishment of intracellular organelles consumed during resealing. Recent evidence suggests that the different steps in PM repair, resealing, restructuring, and restoration, are spatiotemporally correlated and regulated by membrane tension. Recent advances in understanding the different phases of PM repair are reviewed and a time-dependent classification of repair mechanisms is proposed.

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Bees, ants and termites don’t need blueprints. They may have queens, but none of these species breed architects or construction managers. Each insect worker, or drone, simply responds to cues like warmth or the presence or absence of building material. Unlike human manufacturing, the grand design emerges simply from the collective action of the drones—no central planning required.

Now, researchers at Penn Engineering have developed mathematical rules that allow virtual swarms of tiny robots to do the same. In , the robots built honeycomb-like structures without ever following—or even being able to comprehend—a plan.

“Though what we have done is just a first step, it is a new strategy that could ultimately lead to a new paradigm in manufacturing,” says Jordan Raney, Associate Professor in Mechanical Engineering and Applied Mechanics (MEAM), and the co-senior author of a new paper in Science Advances. “Even 3D printers work step by step, resulting in what we call a brittle process. One simple mistake, like a clogged nozzle, ruins the entire process.”

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A collaborative effort between Meta, Lawrence Berkeley National Laboratory and Los Alamos National Laboratory leverages Los Alamos’ expertise in building tools for molecular screening capabilities. The release of “Open Molecules 2025”, an unprecedented dataset of molecular simulations, can accelerate opportunities for machine learning to transform research in fields such as biology, materials science and energy technologies.

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Chen et al. compared scRNA-seq profiles of four tissues in metabolic syndrome (MetS) models induced by fructose or high-fat high-sucrose diets, revealing differential tissue, cellular, and molecular vulnerability between diets. Regulatory genes and pathways were identified, and networks were rewired in MetS. mt-Rnr2 was validated as a key regulator.

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