Lifeboat Foundation

Deep in the Constellation of Centarus lies a star 50 light-years away from the Earth. This star is so…unique that astronomers nicknamed it “Lucy.” Lucy, also known as V886 Centauri and BPM 37093, is (at first glance) an ordinary white dwarf star. But it seems to hide something rather special.

As many of you may know, a white dwarf is the hot cinder left behind when a star uses up its nuclear fuel and, in essence, dies. It is made mostly of carbon and oxygen and surrounded by a thin layer of hydrogen and helium gases.

In 1992 it was discovered that Lucy pulsates as a result of its core temperature dropping below 12,000 degrees Fahrenheit (6,600 Celsius). And in 1995 scientists decided to use Lucy for an experiment. They wanted to see what she was made of. The experiment was to use the pulsation of the star to see if the crystallization theory was true.

Older women heal bone fractures slower than men. Now a team has found that a single, localized delivery of estrogen to a fracture can speed up healing in postmenopausal mice. The findings could have implications for the way fractures in women are treated in the future.

Over 250,000 hip fractures occur each year in adults aged 65 or older in the U.S., three-quarters of which are female. Within a year, between 15 and 36% of hip fracture patients will die. While staggering, the gender gap is unsurprising given that more women than men suffer from osteoporosis, a disease that weakens the bones. And yet, only recently has the scientific community shifted their focus to understanding this difference.

“The majority of stem cell research is done on male animals. There’s very little research that has actually been done on females,” said Wu Tsai Alliance member Charles Chan, Ph.D., an assistant professor of surgery at Stanford University and co-senior author of the paper published Oct. 30 in Nature Communications. “The research is long overdue, especially the question of why women heal differently from men.”

Individuals with long COVID, sometimes referred to as “long-haulers,” experience symptoms that may persist for weeks, months, or even years after their acute viral infection. While symptoms vary widely, a common complaint among patients is “brain fog”—a colloquial term for significant, persistent cognitive deficits, with consistent impairment of executive functioning and working memory.

Long-haulers may experience a lack of mental clarity, poor focus and concentration, memory problems, difficulty with multi-tasking, and more. Brain fog can be debilitating, but there currently are no treatment options that are approved for the condition.

While the number of patients they studied is too small for their results to be definitive, Yale researchers, using their extensive experience with two existing medications, have published initial evidence that those drugs, given together, can mitigate or even eliminate brain fog.

Material scientists at RIKEN have created a self-healing polymer by using an off-the-shelf compound for the first time. The strategy they used is promising for improving the durability and minimizing the environmental impact of various commercial polymers for a wide range of applications.

Polymers capable of healing themselves when damaged would last longer and thus reduce costs and the burden on the environment. Current strategies for producing self-healing polymers mainly employ reversible chemical reactions, but this usually entails complex synthesis processes. Furthermore, self-healing mechanisms based on chemical reactions may not work in certain environments such as in water and acidic and alkaline solutions.

Ideally, material scientists would like to produce polymers that self-heal under a wide range of conditions, from readily available materials, using simple synthesis processes.

Deep-learning models have proven to be highly valuable tools for making predictions and solving real-world tasks that involve the analysis of data. Despite their advantages, before they are deployed in real software and devices such as cell phones, these models require extensive training in physical data centers, which can be both time and energy consuming.

Researchers at Texas A&M University, Rain Neuromorphics and Sandia National Laboratories have recently devised a new system for training deep learning models more efficiently and on a larger scale. This system, introduced in a paper published in Nature Electronics, relies on the use of new training algorithms and memristor crossbar hardware, that can carry out multiple operations at once.

“Most people associate AI with health monitoring in smart watches, face recognition in smart phones, etc., but most of AI, in terms of energy spent, entails the training of AI models to perform these tasks,” Suhas Kumar, the senior author of the study, told TechXplore.

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With Qualcomm, Mediatek, and Samsung now sporting ray tracing GPUs, is this the turning point for mobile gaming graphics?

Structuring, Financing & Growing Novel Longevity Ventures — Dr. Tobias Reichmuth Ph.D., Founding Partner, Maximon

Dr. Tobias Reichmuth, Ph.D. is Founding Partner at Maximon (https://www.maximon.com/), The Longevity Company Builder, which empowers entrepreneurs to build impactful, science-based and scalable companies providing healthy aging and rejuvenation solutions.

Continue reading “Dr. Tobias Reichmuth, Ph.D. — Maximon — Structuring, Financing & Growing Novel Longevity Ventures” »

MSM and Experts fail to see the logic in how Elon Musk is taking over Twitter. They think it’s chaos, a mess, he’s out of his depth. But Elon is just working AGILE, and AGILE always seems like a mess to onlookers used to traditional work!
The video describes Elon’s Agile Takeover of Twitter and shows the opportunity worth BILLION$ that Elon Musk has ALREADY unlocked.

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Continue reading “Elon’s AGILE Takeover (of Twitter) | Experts don’t get Elon bc Experts don’t get AGILE!” »

Summary: The integrity of cholinergic pathways may indicate very early changes in the brain associated with Alzheimer’s disease.

Source: Karolinska Institute.

A new collaborative study from Karolinska Institutet, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), and Czech Technical University suggests a novel imaging marker of brain connectivity might be a very early indicator of pathological changes in Alzheimer’s disease.