Lifeboat Foundation

Summary

The human brain has the, remarkable ability to learn patterns from small amounts of data and then recognize novel instances of those patterns despite distortion and noise. Although advances in machine learning algorithms have been weakly informed by the brain since the 1940’s, they do not yet rival human performance.

A new study in the Journal of Neuroscience has some answers. By scanning the brains of 24 people actively suppressing a particular memory, the team found a neural circuit that detects, inhibits, and eventually erodes intrusive memories.

A trio of brain structures makes up this alarm system. At the heart is the dACC (for “dorsal anterior cingulate cortex”), a scarf-like structure that wraps around deeper brain regions near the forehead. It acts like an intelligence agency: it monitors neural circuits for intrusive memories, and upon discovery, alerts the “executive” region of the brain. The executive then sends out an abort signal to the brain’s memory center, the hippocampus. Like an emergency stop button, this stops the hippocampus from retrieving the memory.

The entire process happens below our consciousness, suppressing unwanted memories so that they never surface to awareness.

The nova phase can help astronomers understand what causes certain kinds of stellar explosions.

New evidence suggests RNA and peptides may have helped build each other on early Earth.

Algorithm set for deployment in Japan could identify giant temblors faster and more reliably.

Two minutes after the world’s biggest tectonic plate shuddered off the coast of Japan, the country’s meteorological agency issued its final warning to about 50 million residents: A magnitude 8.1 earthquake had generated a tsunami that was headed for shore. But it wasn’t until hours after the waves arrived that experts gauged the true size of the 11 March 2011 Tohoku quake. Ultimately, it rang in at a magnitude 9—releasing more than 22 times the energy experts predicted and leaving at least 18,000 dead, some in areas that never received the alert. Now, scientists have found a way to get more accurate size estimates faster, by using computer algorithms to identify the wake from gravitational waves that shoot from the fault at the speed of light.

“This is a completely new [way to recognize] large-magnitude earthquakes,” says Richard Allen, a seismologist at the University of California, Berkeley, who was not involved in the study. “If we were to implement this algorithm, we’d have that much more confidence that this is a really big earthquake, and we could push that alert out over a much larger area sooner.”

Continue reading “Gravity signals could detect earthquakes at the speed of light” »

An exploration of some Fermi Paradox related reasons that it’s highly unlikely that we are the only intelligent life in the universe.

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Continue reading “Fermi Paradox: 10 Reasons to Assume we are Not Alone” »

In this video we have a look at a case study of one person who has undergone hTERT gene therapy. The paper does not identify the subject I would guess it is Liz Parrish. The gene therapy was administered two times over a period of five years.

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Papers mentioned in the video:
Systemic Human Htert Aav Gene Transfer Therapy And The Effect On Telomere Length And Biological Age, A Case Report.
https://maplespub.com/article/systemic-human-htert-aav-gene-…ase-report.

Continue reading “35 Years Biological Age Reversal: A Case Study | Review” »

Scientists at the Max Planck Institute for the Science of Light (MPL) and Max-Planck-Zentrum für Physik und Medizin (MPZPM) in Erlangen present a large step forward in the characterization of nanoparticles. They used a special microscopy method based on interfereometry to outperform existing instruments. One possible application of this technique may be to identify illnesses.

Nanoparticles are everywhere. They are in our body as protein aggregates, lipid vesicles, or viruses. They are in our drinking water in the form of impurities. They are in the air we breath as pollutants. At the same time, many drugs are based on the delivery of nanoparticles, including the vaccines we have recently been given. Keeping with the pandemics, quick tests used for the detection the SARS-Cov-2 are based on nanoparticles too. The red line, which we monitor day by day, contains myriads of gold nanoparticles coated with antibodies against proteins that report infection.

Technically, one calls something a nanoparticle when its size (diameter) is smaller than one micrometer. Objects of the order of one micrometer can still be measured in a normal microscope, but particles that are much smaller, say smaller than 0.2 micrometers, become exceedingly difficult to measure or characterize. Interestingly, this is also the size range of viruses, which can become as small as 0.02 micrometers.

Since graphene was first isolated and characterized in the early 2000s, researchers have been exploring ways to use this atomically thin nanomaterial because of its unique properties such as high tensile strength and conductivity.

In more recent years, twisted bilayer graphene, made of two sheets of graphene twisted to a specific “magic” angle, has been shown to have superconductivity, meaning that it can conduct electricity with very little resistance. However, using this approach to make devices remains challenging because of the low yield of fabricating twisted bilayer graphene.

Now, a new study shows how patterned, periodic deformations of a single layer of graphene transforms it into a material with electronic properties previously seen in twisted graphene bilayers. This system also hosts additional unexpected and interesting conducting states at the boundary. Through a better understanding of how unique properties occur when single sheets of graphene are subjected to periodic strain, this work has the potential to create quantum devices such as orbital magnets and superconductors in the future. The study, published in Physical Review Letters, was conducted by graduate student Võ Tiến Phong and professor Eugene Mele in Penn’s Department of Physics & Astronomy in the School of Arts & Sciences.