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Category: biological – Page 65

Scientists specializing in chemical and environmental engineering at the University of California, Riverside have discovered two types of bacteria in the soil capable of breaking down a class of stubborn “forever chemicals,” giving hope for low-cost biological cleanup of industrial pollutants.

Assistant Professor Yujie Men and her team at the Bourns College of Engineering have found that these bacteria are able to eradicate a specific subgroup of per-and poly-fluoroalkyl substances, known as PFAS, particularly those that contain one or more chlorine atoms within their chemical structure. Their findings were published in the scientific journal, Nature Water.

Unhealthful forever chemicals persist in the environment for decades or much longer because of their unusually strong carbon-to-fluorine bonds. Remarkably, the UCR team found that the bacteria cleave the pollutant’s chlorine-carbon bonds, which starts a chain of reactions that destroy the forever chemical structures, rendering them harmless.

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I gotta admit although effective and innovative, it’s also kinda creepy.

Last year, Monash University scientists created the “DishBrain” – a semi-biological computer chip with some 800,000 human and mouse brain cells lab-grown into its electrodes. Demonstrating something like sentience, it learned to play Pong within five minutes.

The micro-electrode array at the heart of the DishBrain was capable both of reading activity in the brain cells, and stimulating them with electrical signals, so the research team set up a version of Pong where the brain cells were fed a moving electrical stimulus to represent which side of the “screen” the ball was on, and how far away from the paddle it was. They allowed the brain cells to act on the paddle, moving it left and right.

Then they set up a very basic-reward system, using the fact that small clusters of brain cells tend to try to minimize unpredictability in their environment. So if the paddle hit the ball, the cells would receive a nice, predictable stimulus. But if it missed, the cells would get four seconds of totally unpredictable stimulation.

Continue reading “Computer chip with built-in human brain tissue gets military funding” | >

Over the past decade, teams of engineers, chemists and biologists have analyzed the physical and chemical properties of cicada wings, hoping to unlock the secret of their ability to kill microbes on contact. If this function of nature can be replicated by science, it may lead to development of new products with inherently antibacterial surfaces that are more effective than current chemical treatments.

When researchers at Stony Brook University’s Department of Materials Science and Chemical Engineering developed a simple technique to duplicate the cicada wing’s nanostructure, they were still missing a key piece of information: How do the nanopillars on its surface actually eliminate bacteria? Thankfully, they knew exactly who could help them find the answer: Jan-Michael Carrillo, a researcher with the Center for Nanophase Materials Sciences at the Department of Energy’s Oak Ridge National Laboratory.

For nanoscience researchers who seek computational comparisons and insights for their experiments, Carrillo provides a singular service: large-scale, high-resolution molecular dynamics (MD) simulations on the Summit supercomputer at the Oak Ridge Leadership Computing Facility at ORNL.

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In it, he explores how we can make better, scientifically informed predictions about the world around us, using maths. “Mathematics can provide us with the objective tools to bypass the foibles of our own biology – the limitations imposed by our own thought processes, the compulsions that ultimately make us human, but let us down when it comes to making inferences about the world around us,” he writes. “They are humanity’s shortcuts: the preconceptions and cognitive biases, refined over millennia of evolution, that all too often lead us astray when we try to apply our brain’s old rules to our society’s new environments.”

No matter how tempting it is to think, “Ooh, that’s a bit spooky” when faced with a completely random coincidence or chance occurrence, we should all be expecting unusual things to happen all the time, he says.

Yates describes a person who, when browsing in a secondhand bookshop far from where they grew up, opens a copy of their favourite children’s book, only to find their own name inscribed inside. Yet, he says, “the law of truly large numbers” dictates that, just as someone wins the lottery almost every week, with enough opportunities, such extraordinary coincidences are far more likely to happen than you might think. “There are so many different types of coincidences that make us say: ‘Well, that’s extraordinary.’ But it’s not unlikely that some of them happen to us every so often.”

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An international group of experts argue that tackling the long-standing challenge of decoding the communication systems of whales, crows, bats, and other animals is coming within reach, following breath-taking advances in artificial intelligence (AI) research.

In an article published in Science, led by Professor Christian Rutz from the School of Biology at the University of St Andrews, the authors explain how cutting-edge machine-learning tools could provide transformative insights into the hidden lives of animals, with important implications for their conservation.

The prospect of understanding what animals say to each other, or of even initiating a conversation with another species, has fired humans’ imagination for millennia. But since there is no Rosetta Stone for translating animals’ communication signals, their meaning must be deciphered through careful observation and experimentation. Despite good research progress over the past few decades, collecting and analyzing data is a challenging task. For example, annotating recordings of bird calls, whale songs or primate gestures is time-consuming, and even experienced biologists often struggle to differentiate seemingly similar signal types.

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A new technique produces perovskite nanocrystals right where they’re needed, so the exceedingly delicate materials can be integrated into nanoscale.

The nanoscale refers to a length scale that is extremely small, typically on the order of nanometers (nm), which is one billionth of a meter. At this scale, materials and systems exhibit unique properties and behaviors that are different from those observed at larger length scales. The prefix “nano-” is derived from the Greek word “nanos,” which means “dwarf” or “very small.” Nanoscale phenomena are relevant to many fields, including materials science, chemistry, biology, and physics.

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In an interview with GQ, 54-year-old David Sinclair says his lifestyle changes got him back to his “20-year-old brain.”

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Our universe has been developing for about 14 billion years, but human-level intelligence, at least on Earth, has emerged in a remarkably short period of time, measured in tens or hundreds of thousands of years. What then is the future of intelligence? With the exponential growth of computing, will non-biological intelligence dominate?

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Continue reading “Dimitar Sasselov — What is the Far Future of Intelligence in the Universe?” | >