Lifeboat Foundation

Researchers asked U.S. regulators to pull some sunscreens from the market, including brands such as Coppertone, Banana Boat and Neutrogena, saying they’ve found evidence of a potential carcinogen.

Scientists petitioned the Food and Drug Administration to remove from sale all sunscreens containing the active ingredient octocrylene. Products made with the chemical may contain benzophenone, a suspected carcinogen that also can interfere with key hormones and reproductive organs, according to a group led by Craig Downs, executive director of the nonprofit Haereticus Environmental Laboratory that studies risks to health and the environment.

Circa 2,018 o,.o.

This may be the reason experiments can’t agree on the neutron lifetime, according to a new idea.

We combined a machine learning algorithm with knowledge gleaned from hundreds of biological experiments to develop a technique that allows biomedical researchers to figure out the functions of the proteins that turn genes on and off in cells, called transcription factors. This knowledge could make it easier to develop drugs for a wide range of diseases.

Early on during the COVID-19 pandemic, scientists who worked out the genetic code of the RNA molecules of cells in the lungs and intestines found that only a small group of cells in these organs were most vulnerable to being infected by the SARS-CoV-2 virus. That allowed researchers to focus on blocking the virus’s ability to enter these cells. Our technique could make it easier for researchers to find this kind of information.

The biological knowledge we work with comes from this kind of RNA sequencing, which gives researchers a snapshot of the hundreds of thousands of RNA molecules in a cell as they are being translated into proteins. A widely praised machine learning tool, the Seurat analysis platform, has helped researchers all across the world discover new cell populations in healthy and diseased organs. This machine learning tool processes data from single-cell RNA sequencing without any information ahead of time about how these genes function and relate to each other.

A new study shows that artificial intelligence networks based on human brain connectivity can perform cognitive tasks efficiently.

By examining MRI data from a large Open Science repository, researchers reconstructed a brain connectivity pattern, and applied it to an artificial neural network (ANN). An ANN is a computing system consisting of multiple input and output units, much like the biological brain. A team of researchers from The Neuro (Montreal Neurological Institute-Hospital) and the Quebec Artificial Intelligence Institute trained the ANN to perform a cognitive memory task and observed how it worked to complete the assignment.

This is a unique approach in two ways. Previous work on brain connectivity, also known as connectomics, focused on describing brain organization, without looking at how it actually performs computations and functions. Secondly, traditional ANNs have arbitrary structures that do not reflect how real brain networks are organized. By integrating brain connectomics into the construction of ANN architectures, researchers hoped to both learn how the wiring of the brain supports specific cognitive skills, and to derive novel design principles for artificial networks.

Theorists are in a frenzy over “fractons,” bizarre, but potentially useful, hypothetical particles that can only move in combination with one another.

Majoranas particles found.

Majorana particles have been getting bad publicity: a claimed discovery in ultracold nanowires had to be retracted. Now Leiden physicists open up a new door to detecting Majoranas in a different experimental system, the Fu-Kane heterostructure, they announce in Physical Review Letters.

Majorana particles are quasiparticles: collective movements of particles (electrons in this case) which behave as single particles. If detected in real life, they could be used to build stable quantum computers.

Continue reading “Stripes give away Majoranas” »

Russia, China and other adversaries are launching attacks designed to damage or destroy US satellites and interfere with that critical infrastructure. CNN’s Jim Sciutto gets an exclusive look into how Space Force is fighting every day to defend against these technologies.

#CNN #News

After stacking the stages of the Space Launch System (SLS) rocket for NASA’s Artemis 1 mission in June and July, EGS and TOSC powered up the Core Stage for the first time in the Vehicle Assembly Building (VAB) at the Kennedy Space Center (KSC) in Florida on August 6. The initial power up was a significant milestone in pre-launch processing, marking the beginning of the systematic checkouts of the vehicle and ground systems that will be used for the first launch on Artemis 1.

Just prior to powering up the Core Stage, the four umbilicals that connect ground services from the Mobile Launcher were attached to quick disconnect plates on the stage’s three major equipment bays: the forward skirt, intertank, and engine section. The Integrated Operations team of EGS and Jacobs and the SLS prime contractors are working almost around clock in the VAB to get through all the installations, checkouts, and special tests in time for a launch no earlier than the end of 2,021 but more likely in early 2022.

I ran out of superlatives already yesterday — it is just so hard to realize that this is really happening!

Great photo by RGV Aerial Photography!