Ancient arthropods on the move: Unraveling the secret steps of the burgess shale trilobites
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Updates every hour. Last Updated: 19-Aug-2025 12:10 ET (19-Aug-2025 16:10 GMT/UTC)
In a new study published in the BMC Biology, researchers in the Department of Organismic and Evolutionary Biology at Harvard, analyzed 156 limbs from 28 O. serratus fossil specimens to reconstruct the precise movement and function of these mysterious ancient arthropod appendages—shedding light on one of the planet’s earliest and most successful animals.
Physicists used a machine-learning method to identify surprising new twists on the non-reciprocal forces governing a many-body system.
Researchers at Kumamoto University and Nagoya University have developed a new class of two-dimensional (2D) metal-organic frameworks (MOFs) using triptycene-based molecules, marking a breakthrough in the quest to understand and enhance the physical properties of these promising materials. This innovation opens new possibilities for multifunctional applications in gas/molecular sensors, electrochemical energy storage, and spintronic devices.
Could clothing monitor a person’s health in real time, because the clothing itself is a self-powered sensor? A new material created through electrospinning, which is a process that draws out fibers using electricity, brings this possibility one step closer.
MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform the design of faster, more accurate machine-learning models for tasks like discovering new drugs or identifying astronomical phenomena.