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Glass frogs living near roaring waterfalls wave hello to attract mates

A UC Berkeley conservation ecologist has discovered that an elusive glass frog species (Sachatamia orejuela) uses both high-pitched calls and visual signaling in the form of hand-waving, foot-waving and head-bobbing to communicate near loud waterfalls. (Photo courtesy Rebecca Brunner) Most frogs emit a characteristic croak to attract the attention of a potential mate. But a few frog species that call near loud streams where the noise may obscure those crucial love songs add to their calls by visually showing off with the flap of a hand, a wave of a foot or a bob of the head. Frogs who “dance” near rushing streams have been documented in the rainforests of India, Borneo, Brazil and, now, Ecuador.

Model analyzes how viruses escape the immune system

Credits: Image: CDC, Douglas Jordan, Christine Daniloff, MIT Previous image Next image One reason it’s so difficult to produce effective vaccines against some viruses, including influenza and HIV, is that these viruses mutate very rapidly. This allows them to evade the antibodies generated by a particular vaccine, through a process known as “viral escape.” MIT researchers have now devised a new way to computationally model viral escape, based on models that were originally developed to analyze language. The model can predict which sections of viral surface proteins are more likely to mutate in a way that enables viral escape, and it can also identify sections that are less likely to mutate, making them good targets for new vaccines.

Graduate Profile: Diondra Dilworth, Building Polymers and Building Community

Art by Anasthasia Shilov. “What really motivates me is being able to spread the joy and the thrill of science,” Diondra Dilworth says. Dilworth is a third-year Ph.D. candidate in chemistry at Yale, researching how ribosomes can act as catalysts. She is committed to spreading her love of science and creating a supportive scientific community for her peers and students. Dilworth combines her passions for science as a researcher, mentor, and teacher to those around her. Growing up Before she began her research career, Dilworth grew up in Las Vegas, NV, one of the most popular tourist destinations in the world, but, for Dilworth, her home. Having grown up with two younger sisters, Dilworth always filled the role of support and guidance for those around her. Her maternal grandparents, who were both schoolteachers, were two of her biggest inspirations. Their passion for giving back to, teaching, and helping others is a core value that rubbed off on Dilworth, and one that has remaine

New Device that Couples Wearable Biosensors with AI Could be Used to Control Prosthetics

New Device that Couples Wearable Biosensors with AI Could be Used to Control Prosthetics Written by AZoSensorsDec 22 2020 Imagine typing on a computer without a keyboard, playing a video game without a controller or driving a car without a wheel. That s one of the goals of a new device developed by engineers at the University of California, Berkeley, that can recognize hand gestures based on electrical signals detected in the forearm. The system, which couples wearable biosensors with artificial intelligence (AI), could one day be used to control prosthetics or to interact with almost any type of electronic device. Prosthetics are one important application of this technology, but besides that, it also offers a very intuitive way of communicating with computers. said Ali Moin, who helped design the device as a doctoral student in UC Berkeley s Department of Electrical Engineering and Computer Sciences.

High-five or thumbs-up? New device detects which hand gesture you want to make

 E-Mail IMAGE: UC Berkeley researchers have created a new device that combines wearable biosensors with artificial intelligence software to help recognize what hand gesture a person intends to make based on electrical. view more  Credit: Image courtesy the Rabaey Lab Berkeley Imagine typing on a computer without a keyboard, playing a video game without a controller or driving a car without a wheel. That s one of the goals of a new device developed by engineers at the University of California, Berkeley, that can recognize hand gestures based on electrical signals detected in the forearm. The system, which couples wearable biosensors with artificial intelligence (AI), could one day be used to control prosthetics or to interact with almost any type of electronic device.

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