Lifeboat Foundation

A research and development lab of the Chinese tech giant Huawei Technologies in the southern city of Dongguan caught fire, producing large clouds of thick grey smoke. Locals caught the incident on camera.

The videos show plumes of smoke coming from the building’s top floors, and largely obscuring the sky above the facility. According to the local fire department, the flammable sound-absorbing cotton which the facility was using may be the main source of the blaze.

🚨 #BREAKING – A #Huawei research laboratory burns in 🔥 #Dongguanpic.twitter.com/BGqR7Hmz0J — ISCResearch (@ISCResearch) September 25, 2020

The Expedition 63 crew will stay in the Russian segment’s Zvezda service module during a cabin air leak test this weekend.

As part of ongoing work to isolate the source of a slight increase above the standard cabin air leak rate, the Expedition 63 crew will once again spend the weekend inside the station’s Russian segment. All the space station hatches will be closed this weekend so mission controllers can again monitor the air pressure in each module with the goal of localizing the source of the increased rate. The test presents no safety concern for the crew. Commander Chris Cassidy and his crewmates Ivan Vagner and Anatoly Ivanishin will stay in the Zvezda service module from Friday night into Monday morning.

The crew will spend Friday gathering items for the weekend isolation before closing hatches throughout the station at the conclusion of their crew work day.

Continue reading “More Leak Checks as Crew Spends Weekend in Russian Segment” »

At our Neutral Buoyancy Laboratory, teams are testing tools and developing training approaches for lunar surface operations and moonwalks NASA Astronauts will conduct during Artemis missions. 🌙

This Friday, watch live as we speak with astronauts conducting the training underwater! Stay tuned for details on how to watch.

This giant 60-foot ‘Gundam’ robot has made its first test moves — look at the size of it! 😲 🤖.

Mitochondria are the powerhouses of our cells, generating energy that supports life. A giant molecular proton pump, called complex I, is crucial: It sets in motion a chain of reactions, creating a proton gradient that powers the generation of ATP, the cell’s fuel. Despite complex I’s central role, the mechanism by which it transports protons across the membrane has so far been unknown. Now, Leonid Sazanov and his group at the Institute of Science and Technology Austria (IST Austria) have solved the mystery of how complex I works: Conformational changes in the protein combined with electrostatic waves move protons into the mitochondrial matrix. This is the result of a study published today in Science.

Complex I is the first enzyme in the respiratory chain, a series of protein complexes in the inner mitochondrial membrane. The respiratory chain is responsible for most of the cell’s energy production. In this chain, three membrane proteins set up a gradient of protons, moving them from the cell’s cytoplasm into the mitochondrial inner space, called the matrix. The energy for this process comes mostly from the electron transfer between NADH molecules, derived from the food we eat, and oxygen that we breathe. ATP synthase, the last protein in the chain, then uses this proton gradient to generate ATP.

Complex I is remarkable not only because of its central role in life, but also for its sheer size: with a molecular weight of 1 Megadalton, the eukaryotic complex I is one of the biggest membrane proteins. Its size also makes complex I hard to study. In 2016, Sazanov and his group were the first to solve the structure of mammalian complex I, following on their 2013 structure of a simpler bacterial enzyme. But the mechanism by which complex I moves protons across the membrane has remained controversial. “One idea was that a part of complex I works like a piston, to open and close channels through which protons travel”, explains Sazanov. “Another idea was that residues at the center of complex I act as a driver. It turns out that an even more unusual mechanism is at work.”

As earth becomes less habitable due to the climate emergency, The Astroland Agency are working out how humans could colonize Mars by 2035. Before the pandemic, we spent time with them to learn how that would work.

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Continue reading “This is What Mars Colonies Could Be Like in 2035” »

A radar image of China’s Tiangong-1 space station, which ceased operation in 2018. Beijing has announced plans for a permanent space station by 2022. Image: Fraunhofer Institute FHR via AP.

O,.o.

Through a one-of-a-kind experiment at the Department of Energy’s Oak Ridge National Laboratory, nuclear physicists have precisely measured the weak interaction between protons and neutrons. The result quantifies the weak force theory as predicted by the Standard Model of Particle Physics.

The team’s weak force observation, detailed in Physical Review Letters, was measured through a precision experiment called n3He, or n-helium-3, that ran at ORNL’s Spallation Neutron Source, or SNS. Their finding yielded the smallest uncertainty of any comparable weak force measurement in the nucleus of an atom to date, which establishes an important benchmark.

Continue reading “Scientists achieve higher precision weak force measurement between protons, neutrons” »

Financial crime as a wider category of cybercrime continues to be one of the most potent of online threats, covering nefarious activities as diverse as fraud, money laundering and funding terrorism. Today, one of the startups that has been building data intelligence solutions to help combat that is announcing a fundraise to continue fueling its growth.

Ripjar, a U.K. company founded by five data scientists who previously worked together in British intelligence at the Government Communications Headquarters (GCHQ, the U.K.’s equivalent of the NSA), has raised $36.8 million (£28 million) in a Series B, money that it plans to use to continue expanding the scope of its AI platform — which it calls Labyrinth — and scaling the business.

Labyrinth, as Ripjar describes it, works with both structured and unstructured data, using natural language processing and an API-based platform that lets organizations incorporate any data source they would like to analyse and monitor for activity. It automatically and in real time checks these against other data sources like sanctions lists, politically exposed persons (PEPs) lists and transaction alerts.