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Researchers have developed soft robotic devices driven by neuromuscular tissue that triggers when stimulated by light—bringing mechanical engineering one step closer to developing autonomous biobots.

In 2014, research teams led by mechanical science and engineering professor Taher Saif and bioengineering professor Rashid Bashir at the University of Illinois worked together to developed the first self-propelled biohybrid swimming and walking biobots powered by beating derived from rats.

“Our first swimmer study successfully demonstrated that the bots, modeled after sperm cells, could in fact swim,” Saif said. “That generation of singled-tailed bots utilized cardiac tissue that beats on its own, but they could not sense the environment or make any decisions.”

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On its surface, the plan was simple: gene-hack mosquitoes so their offspring immediately die, mix them with disease-spreading bugs in the wild, and watch the population drop off. Unfortunately, that didn’t quite pan out.

The genetically-altered mosquitoes did mix with the wild population, and for a brief period the number of mosquitoes in Jacobino, Brazil did plummet, according to research published in Nature Scientific Reports last week. But 18 months later the population bounced right back up, New Atlas reports — and even worse, the new genetic hybrids may be even more resilient to future attempts to quell their numbers.

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Transplanted brain stem cells survive without anti-rejection drugs in mice. By exploiting a feature of the immune system, researchers open the door for stem cell transplants to repair the brain.

In experiments in mice, Johns Hopkins Medicine researchers say they have developed a way to successfully transplant certain protective brain cells without the need for lifelong anti-rejection drugs.

A report on the research, published today (September 16, 2019) in the journal Brain, details the new approach, which selectively circumvents the immune response against foreign cells, allowing transplanted cells to survive, thrive and protect brain tissue long after stopping immune-suppressing drugs.

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A model based on Brownian motion describes the tsunami-like propagation of chaotic behavior in a system of quantum particles.

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In daily life, “chaos” describes anything messy. In physics, the term has a more specific meaning: It refers to systems that, while subject to deterministic laws, are totally unpredictable because of an exponential sensitivity to initial conditions—think of the butterfly flapping its wings and causing a distant tornado. But how does the chaos observed in the classical, macroscopic world emerge from the quantum-mechanical laws that govern the microscopic world? A recently proposed explanation invokes quantum “information scrambling” [1, 3], in which information gets rapidly dispersed into quantum correlations among the particles of a system. This scrambling is a memory-loss mechanism that can cause the unpredictability of chaos. Developing a theory that fully describes information scrambling remains, however, a daunting task.

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SHA-256 is a one way hashing algorithm. Cracking it would have tectonic implications for consumers, business and all aspects of government including the military.

It’s not the purpose of this post to explain encryption, AES or SHA-256, but here is a brief description of SHA-256. Normally, I place reference links in-line or at the end of a post. But let’s get this out of the way up front:

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Summary In this open-ended design/build project, students learn about the unique challenges astronauts face while eating in outer space. They explore different food choices and food packaging, learning about the seven different forms of food that are available to astronauts. Students learn about the steps of the engineering design process, and then, as if they are NASA engineering teams, they design and build original model devices to help astronauts eat in a microgravity environment—their own creative devices for food storage and meal preparation. A guiding design worksheet is provided in English and Spanish.

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