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New study shows ‘#Dancing #Molecules’ can #Regenerate #Cartilage in 3 days.

In the new study, the treatment activated gene expression needed to regenerate cartilage in just 4h. After 3 days, cells produced protein components for cartilage regeneration…


In November 2021, Northwestern University researchers introduced an injectable new therapy, which harnessed fast-moving “dancing molecules,” to repair tissues and reverse paralysis after severe spinal cord injuries.

Now, the same research group has applied the therapeutic strategy to damaged human cartilage cells. In the new study, the treatment activated the gene expression necessary to regenerate cartilage within just four hours. And, after only three days, the human cells produced protein components needed for cartilage regeneration.

A view into how nanoscale building blocks can rearrange into different organized structures on command is now possible with an approach that combines an electron microscope, a small sample holder with microscopic channels, and computer simulations, according to a new study by researchers at the University of Michigan and Indiana University.

The approach could eventually enable smart materials and coatings that can switch between different optical, mechanical and electronic properties.

“One of my favorite examples of this phenomenon in nature is in chameleons,” said Tobias Dwyer, U-M doctoral student in chemical engineering and co-first author of the study published in Nature Chemical Engineering (“Engineering and direct imaging of nanocube self-assembly pathways”). “Chameleons change color by altering the spacing between nanocrystals in their skin. The dream is to design a dynamic and multifunctional system that can be as good as some of the examples that we see in biology.”

Entanglement is a fundamental concept in quantum information theory and is often regarded as a key indicator of a system’s “quantumness”. However, the relationship between entanglement and quantum computational power is not straightforward. In a study posted on the arXiv preprint server, physicists in Germany, Italy and the US shed light on this complex relationship by exploring the role of a property known as “magic” in entanglement theory. The study’s results have broad implications for various fields, including quantum error correction, many-body physics and quantum chaos.

Traditionally, the more entangled your quantum bits (qubits) are, the more you can do with your quantum computer. However, this belief – that higher entanglement in a quantum state is associated with greater computational advantage – is challenged by the fact that certain highly entangled states can be efficiently simulated on classical computers and do not offer the same computational power as other quantum states. These states are often generated by classically simulable circuits known as Clifford circuits.

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NASA’s Nancy Grace Roman Space Telescope is a next-generation observatory that will survey the infrared universe from beyond the orbit of the Moon. The spacecraft’s giant camera, the Wide Field Instrument, will be fundamental to this exploration. Data it gathers will enable scientists to discover new and uniquely detailed information about planetary systems around other stars. The instrument will also map how matter is structured and distributed throughout the cosmos, which could ultimately allow scientists to discover the fate of the universe. Watch this video to see a simplified version of how the Wide Field Instrument works. NASA’s Goddard Space Flight Center

Unprecedented Observational Capability

After Roman launches by May 2027, each of the Wide Field Instrument’s 300-million-pixel images will capture a patch of the sky bigger than the apparent size of a full moon. The instrument’s large field of view will enable sweeping celestial surveys, revealing billions of cosmic objects across vast stretches of time and space. Astronomers will conduct research that could take hundreds of years using other telescopes.

“That is a highlight of this building that it’s very close to talent — people who are still in this area because they just graduated,” said Knight, The Engine Accelerator’s president and chief executive.

The Engine Accelerator is where companies solving hard problems get off the ground. It’s part coworking space, with open desks, office suites, and conference rooms for rent. It’s part startup accelerator, hosting a high-octane circle of young scientists and engineers who need help turning their ideas into full-fledged operations.

If WeWork and Y Combinator had a baby, and that baby wanted to bring breakthrough research out of the lab and into the real world, it’d look something like The Engine.

Engineering researchers at the University of Minnesota Twin Cities have demonstrated a state-of-the-art hardware device that could reduce energy consumption for artificial intelligent (AI) computing applications by a factor of at least 1,000.

The research is published in npj Unconventional Computing titled “Experimental demonstration of magnetic tunnel junction-based computational random-access memory.” The researchers have multiple patents on the technology used in the device.

With the growing demand for AI applications, researchers have been looking at ways to create a more energy efficient process, while keeping performance high and costs low. Commonly, machine or artificial intelligence processes transfer data between both logic (where information is processed within a system) and memory (where the data is stored), consuming a large amount of power and energy.