Lifeboat Foundation: Safeguarding Humanity
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Blog – Page 14

A complex molecular machine, the spliceosome, ensures that the genetic information from the genome, after being transcribed into mRNA precursors, is correctly assembled into mature mRNA. Splicing is a basic requirement for producing proteins that fulfill an organism’s vital functions. Faulty functioning of a spliceosome can lead to a variety of serious diseases.

Researchers at the Heidelberg University Biochemistry Center (BZH) have succeeded for the first time in depicting a faulty “blocked” at high resolution and reconstructing how it is recognized and eliminated in the cell. The research was published in Nature Structural & Molecular Biology.

The of all living organisms is contained in DNA, with the majority of genes in higher organisms being structured in a mosaic-like manner. So the cells are able to “read” the instructions for building proteins stored in these genetic mosaic particles, they are first copied into precursors of mRNA, or messenger RNA. The spliceosome then converts them into mature, functional mRNA.

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LiDAR, or Light Detection and Ranging, works by measuring the time it takes for a laser pulse to travel to an object and back. This time-of-flight measurement reveals the distance, and by scanning across an area, a 3D image is created.

This new tech utilizes a superconducting nanowire single-photon detector (SNSPD), an ultrasensitive detector developed by the MIT and NASA Jet Propulsion Laboratory.

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A research team has developed a revolutionary two-dimensional polyaniline (2DPANI) crystal that overcomes major conductivity limitations in polymers. Its unique multilayered structure allows metallic charge transport, setting the stage for new applications in electronics and materials science.

An international team of researchers has successfully created a multilayered two-dimensional polyaniline (2DPANI) crystal, demonstrating exceptional conductivity and a unique ability to transport charge in a metallic-like manner. Their findings were published on February 5 in Nature.

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NASA’s Hubble Space Telescope has captured a cosmic bullseye. The gargantuan galaxy LEDA 1,313,424 is rippling with nine star-filled rings after an “arrow”—a far smaller blue dwarf galaxy—shot through its heart. Astronomers using Hubble identified eight visible rings, more than previously detected by any telescope in any galaxy, and confirmed a ninth using data from the W. M. Keck Observatory in Hawaii. Previous observations of other galaxies show a maximum of two or three rings.

“This was a serendipitous discovery,” said Imad Pasha, the lead researcher and a doctoral student at Yale University in New Haven, Connecticut. “I was looking at a ground-based imaging survey and when I saw a galaxy with several clear rings, I was immediately drawn to it. I had to stop to investigate it.” The team later nicknamed the galaxy the “Bullseye.”

Hubble and Keck’s follow-up observations also helped the researchers prove which galaxy plunged through the center of the Bullseye—a blue dwarf galaxy to its center-left. This relatively tiny interloper traveled like a dart through the core of the Bullseye about 50 million years ago, leaving rings in its wake like ripples in a pond. A thin trail of gas now links the pair, though they are currently separated by 130,000 light-years.

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Leo P, a small galaxy and a distant neighbor of the Milky Way, is lighting the way for astronomers to better understand star formation and how a galaxy grows.

In a study published in the Astrophysical Journal, a team of researchers led by Kristen McQuinn, a scientist at the Space Telescope Science Institute and an associate professor in the Department of Physics and Astronomy at the Rutgers University-New Brunswick School of Arts and Sciences, has reported finding that Leo P “reignited,” reactivating during a significant period on the timeline of the universe, producing stars when many other small galaxies didn’t.

By studying galaxies early in their formation and in different environments, astronomers said they may gain a deeper understanding of the universe’s origins and the fundamental processes that shape it.

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For decades there has been near constant progress in reducing the size, and increasing the performance, of the circuits that power computers and smartphones. But Moore’s Law is ending as physical limitations – such as the number of transistors that can fit on a chip and the heat that results from packing them ever more densely – are slowing the rate of performance increases. Computing capacity is gradually plateauing, even as artificial intelligence, machine learning and other data-intensive applications demand ever greater computational power.

Novel technologies are needed to address this challenge. A potential solution comes from photonics, which offers lower energy consumption and reduced latency than electronics.

One of the most promising approaches is in-memory computing, which requires the use of photonic memories. Passing light signals through these memories makes it possible to perform operations nearly instantaneously. But solutions proposed for creating such memories have faced challenges such as low switching speeds and limited programmability.

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