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Axon regeneration can be induced across anatomically complete spinal cord injury (SCI), but robust functional restoration has been elusive. Whether restoring neurological functions requires directed regeneration of axons from specific neuronal subpopulations to their natural target regions remains unclear. To address this question, we applied projection-specific and comparative single-nucleus RNA sequencing to identify neuronal subpopulations that restore walking after incomplete SCI. We show that chemoattracting and guiding the transected axons of these neurons to their natural target region led to substantial recovery of walking after complete SCI in mice, whereas regeneration of axons simply across the lesion had no effect. Thus, reestablishing the natural projections of characterized neurons forms an essential part of axon regeneration strategies aimed at restoring lost neurological functions.

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In 1994 Miguel Alcubierre was able to construct a valid solution to the equations of general relativity that enable a warp drive. But now we need to tackle the rest of relativity: How do we arrange matter and energy to make that particular configuration of spacetime possible?

Unfortunately for warp drives, that’s when we start running into trouble. In fact, right away, we run into three troubles. And these three troubles are called the energy conditions. Now, before I describe the energy conditions, I need to make a disclaimer. What I’m about to say are not iron laws of physics.

They are instead reasonable guesses as to how nature makes sense. General relativity is a machine. You put in various configurations of spacetime, various arrangements of matter and energy. You turn the handle and you learn how gravity works. General relativity on its own doesn’t tell you what’s real and what’s not.

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What if we told you AI just created the strongest light material known to humanity? This groundbreaking discovery could revolutionize everything from aerospace to everyday tech. In this video, we break down how artificial intelligence engineered this ultra-light, ultra-strong material—and why it changes the game forever.

Scientists have long searched for the perfect balance of strength and weight, and now, AI has cracked the code. Using advanced algorithms, researchers developed a material that’s lighter than carbon fiber but stronger than steel. Imagine planes, cars, and even buildings becoming more efficient and durable than ever before.

We’ll explore how this AI-designed material works, its potential real-world applications, and what it means for the future of engineering. From military tech to consumer products, this innovation could redefine entire industries. The best part? This is just the beginning of AI-driven material science breakthroughs.

How was this material invented? What makes it so strong yet so light? How will this impact future technology? Can AI design even better materials? This video answers all these questions and more. Don’t miss out on the science behind the next big leap in material engineering—watch now!

#ai.
#artificialintelligence.
#ainews.

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