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Hubble Captures a Mirrored Galaxy

This intriguing observation from the NASA/ESA Hubble Space Telescope shows a gravitationally lensed galaxy with the long-winded identification SGAS J143845+145407. Gravitational lensing has resulted in a mirror image of the galaxy near the center of this image, creating a captivating centerpiece. A third distorted image of the galaxy appears as a bridge between them.

Gravitational lensing occurs when the mass of an enormous celestial body – such as a galaxy cluster – curves spacetime and causes the path of light from distant objects to visibly bend around it, as if by a lens. Appropriately, the body causing the light to curve is called a gravitational lens, and the distorted background object is referred to as being “lensed.” Gravitational lensing can result in multiple images of the original galaxy, as seen in this image, or in the background object appearing as a distorted arc or even a ring. Another important consequence of this lensing distortion is magnification, allowing astronomers to observe objects that would otherwise be too far away or be too faint to see.

Critical phenomena of emergent magnetic monopoles in a chiral magnet

Circa 2016 A great propulsion system for hoverboards and also magnetic propulsion #spacetechnology on earth 🌎😀


Phase transitions in topologically non-trivial systems are characterized by changes of topological invariants, rather than conventional order parameters. Here, the authors propose a real-space topological phase transition upon pair annihilation of emergent monopoles inherent in chiral magnet MnGe.

Scientists Found a Gap In the Universe That Defies All Logic

If you thought space already had its fair share of terrifying places, think again. We’ve discovered scorching hot planets, inhospitable gas giants with winds faster than 500 miles an hour, and blackholes themselves, but these celestial objects have characteristics.

Imagine a place that’s literally just a void, a gap in space that has absolutely nothing and stretches millions of lightyears. Scientists have found such a gap and it defies all logic, but do we know anything about this gap? Or are these questions going to be unanswered?

Assembling the first global map of lunar hydrogen

Using data collected over two decades ago, scientists from the Johns Hopkins Applied Physics Laboratory (APL) in Laurel, Maryland, have compiled the first complete map of hydrogen abundances on the Moon’s surface. The map identifies two types of lunar materials containing enhanced hydrogen and corroborates previous ideas about lunar hydrogen and water, including findings that water likely played a role in the Moon’s original magma-ocean formation and solidification.

APL’s David Lawrence, Patrick Peplowski and Jack Wilson, along with Rick Elphic from NASA Ames Research Center, used orbital data from the Lunar Prospector mission to build their map. The probe, which was deployed by NASA in 1998, orbited the Moon for a year and a half and sent back the first direct evidence of enhanced at the lunar poles, before impacting the .

When a star explodes, it releases , or high-energy protons and neutrons that move through space at nearly the speed of light. When those cosmic rays come into contact with the surface of a planet, or a moon, they break apart atoms located on those bodies, sending protons and neutrons flying. Scientists are able to identify an element and determine where and how much of it exists by studying the motion of those protons and neutrons.

Deep learning methods for designing proteins scaffolding functional sites

Current approaches to de novo design of proteins harboring a desired binding or catalytic motif require pre-specification of an overall fold or secondary structure composition, and hence considerable trial and error can be required to identify protein structures capable of scaffolding an arbitrary functional site. Here we describe two complementary approaches to the general functional site design problem that employ the RosettaFold and AlphaFold neural networks which map input sequences to predicted structures. In the first “constrained hallucination” approach, we carry out gradient descent in sequence space to optimize a loss function which simultaneously rewards recapitulation of the desired functional site and the ideality of the surrounding scaffold, supplemented with problem-specific interaction terms, to design candidate immunogens presenting epitopes recognized by neutralizing antibodies, receptor traps for escape-resistant viral inhibition, metalloproteins and enzymes, and target binding proteins with designed interfaces expanding around known binding motifs. In the second “missing information recovery” approach, we start from the desired functional site and jointly fill in the missing sequence and structure information needed to complete the protein in a single forward pass through an updated RoseTTAFold trained to recover sequence from structure in addition to structure from sequence. We show that the two approaches have considerable synergy, and AlphaFold2 structure prediction calculations suggest that the approaches can accurately generate proteins containing a very wide array of functional sites.

The authors have declared no competing interest.

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