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Circa 2020


Astronomers have found one of the largest structures in the known universe—a “wall” of galaxies that’s at least 1.4 billion light-years long. And given how close it is to us, it’s remarkable that we haven’t seen it before now.

What happened: An international team of scientists reported the discovery of the South Pole Wall in a paper published Thursday in the Astrophysical Journal. The structure is basically a curtain that stretches across the southern border of the universe (from the perspective of Earth) and consists of thousands of galaxies, along with huge amounts of gas and dust.

What do you mean by “wall”? Galaxies aren’t just strewn randomly throughout the universe. Along huge strands of hydrogen, galaxies collect into larger groupings of massive filaments, separated by giant voids of nearly empty space. Each filament is basically a wall of galaxies, stretching for hundreds of millions of light-years. They’re the biggest structures in the known universe. Other identified structures include the Great Wall, the Sloan Great Wall, the Hercules-Corona Borealis Great Wall, and the Bootes Void.

www.iBiology.org.

Dr. Kate Adamala describes what synthetic cells are and how they can teach us the fundamental principles of life.

Life on Earth evolved once — this means that all biological systems on our planet are rooted in the same fundamental framework. This framework is extremely complex and we have yet to fully understand the processes inside each living cell. One way of understanding complex systems is to break them down into simpler parts. This is the principle of engineering the synthetic cell: to use our current knowledge of biology for building a living cell with the least amount of parts and complexity. Synthetic cells can be used to teach us about the basic principles of life and evolution, and they hold promise for a range of applications including biomaterials and drug development. Dr. Kate Adamala narrates an introduction to this exciting field.

0:00 Introduction.

Splunk today announced it plans to acquire security software company TruStar for an undisclosed amount. The acquisition will add TruStar’s cloud-native, cyber intelligence-sharing capabilities and automated processes to Splunk’s growing cybersecurity portfolio.

“TruStar will help us get even better at predictive threat assessments by strengthening our threat intelligence framework. This acquisition will allow customers to autonomously and seamlessly enrich their (security operation center) workflows with threat intelligence data feeds from heterogeneous sources,” Splunk president and CEO Doug Merritt told VentureBeat in an exclusive interview.

The pending deal is in line with Splunk’s philosophy that “security is a data problem,” he said. The announcement marks a return to M&A activity for Splunk and the massive $1.05 billion deal for SignalFX in 2019. The company also made four cloud-related acquisitions in 2020.

An international research team analyzed a database of more than 1000 supernova explosions and found that models for the expansion of the Universe best match the data when a new time dependent variation is introduced. If proven correct with future, higher-quality data from the Subaru Telescope and other observatories, these results could indicate still unknown physics working on the cosmic scale.

Edwin Hubble’s observations over 90 years ago showing the expansion of the Universe remain a cornerstone of modern astrophysics. But when you get into the details of calculating how fast the Universe was expanding at different times in its history, scientists have difficulty getting theoretical models to match observations.

To solve this problem, a team led by Maria Dainotti (Assistant Professor at the National Astronomical Observatory of Japan and the Graduate University for Advanced Studies, SOKENDAI in Japan and an affiliated scientist at the Space Science Institute in the U.S.A.) analyzed a catalog of 1048 supernovae which exploded at different times in the history of the Universe. The team found that the theoretical models can be made to match the observations if one of the constants used in the equations, appropriately called the Hubble constant, is allowed to vary with time.

Plastic pollution has become one of the most pressing environmental issues now that the rapidly increased production of disposable plastic products is far beyond the world’s capacity for recycling and upcycling waste plastics. Although recent studies have provided a few catalytic strategies for producing value-added fuel and chemical products from polyethylene (PE) waste, the kinetic rates and/or selectivities are unsatisfactory, even with extended processing time (24 h) and high temperatures (280°C). This work reports a liquid-phase catalytic hydrogenolysis process that highly efficiently converts high-density PE to jet-fuel-and lubricant-range hydrocarbons under relatively mild conditions. The application of this efficient liquid-phase catalytic hydrogenolysis process could provide a promising approach for selectively producing high-value products, such as lubricants, from waste PE and other polyolefin polymers.