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Seismic activity on the moon could pose risk to long-term lunar infrastructure

A new paper reveals that ground acceleration from moonquakes, rather than meteor impacts, was responsible for shifting lunar landscapes at the moon’s Taurus-Littrow valley, where Apollo 17 astronauts landed in 1972. The study also pinpointed a possible cause for those surface changes and assessed damage risk using new models of the quakes—findings that may impact the safety of future lunar missions and the establishment of long-term bases on the moon.

The paper, authored by Smithsonian Senior Scientist Emeritus Thomas R. Watters and University of Maryland Associate Professor of Geology Nicholas Schmerr, is published in the journal Science Advances.

The scientists analyzed evidence from the Apollo 17 landing site, where NASA astronauts collected samples from boulder falls and landslides that were likely triggered by moonquakes. By studying the geological evidence left behind, the researchers were able to estimate the strength of these ancient moonquakes and identify their most probable source.

Sleep disruption damages blood vessels in brain and may increase dementia risk: study

A new study reveals that fragmented sleep causes cellular damage to the brain’s blood vessels, providing further evidence to suggest that sleep disruption predisposes the brain to dementia.

The research, published in the journal Brain, is the first to offer cellular and molecular evidence that sleep disruption directly causes damage to brain blood vessels and blood flow.

“We found that individuals who had more fragmented sleep, such as sleeping restlessly and waking up a lot at night, had a change in their balance of pericytes—a brain blood vessel cell that plays an important role in regulating brain blood flow and the entry and exit of substances between the blood and the brain,” said Andrew Lim, principal investigator of the study and a sleep neurologist and scientist at Sunnybrook Health Sciences Centre.

Elon Announces MOST Powerful FSD Update Ever

Questions to inspire discussion.

🛣️ Q: What specific improvements can we expect from the new FSD model? A: The new model will see and avoid potholes, drive better in parking lots, find parking spaces more efficiently, figure out pickup and drop-off zones for robotaxis, and handle high chaos situations like crowded areas more effectively.

Safety and Regulations.

🚦 Q: How does FSD’s safety compare to human drivers? A: Tesla’s FSD technology is already much safer than humans with the current Version 4, which has 8 cameras and 10x better parameters than previous versions, and it’s expected to improve further with future updates.

📊 Q: How significant are the improvements in the new FSD model? A: While the model has 10x better parameters, the features may not be 10x better, but improvements could be greater than 10x due to hard-to-measure benefits like reduced driving stress and increased safety.

🚫 Q: What’s limiting FSD’s full potential? A: Regulations currently hold FSD back from reaching its full potential, despite its ability to drive faster and handle high chaos situations more effectively.

Continue reading “Elon Announces MOST Powerful FSD Update Ever” | >

Hepatocellular Carcinoma in Mice Affects Neuronal Activity and Glia Cells in the Suprachiasmatic Nucleus

Background: Chronic liver diseases such as hepatic tumors can affect the brain through the liver–brain axis, leading to neurotransmitter dysregulation and behavioral changes. Cancer patients suffer from fatigue, which can be associated with sleep disturbances. Sleep is regulated via two interlocked mechanisms: homeostatic regulation and the circadian system. In mammals, the hypothalamic suprachiasmatic nucleus (SCN) is the key component of the circadian system. It generates circadian rhythms in physiology and behavior and controls their entrainment to the surrounding light/dark cycle. Neuron–glia interactions are crucial for the functional integrity of the SCN. Under pathological conditions, oxidative stress can compromise these interactions and thus circadian timekeeping and entrainment.

Programmable Soft Materials: A Leap Forward in Energy Absorption and Shape-Shifting Design

Researchers from Lawrence Livermore National Laboratory (LLNL), in collaboration with Harvard University, Caltech, Sandia National Laboratories, and Oregon State University, have unveiled a groundbreaking innovation in materials science: a programmable soft material capable of bending, bouncing, and absorbing energy on demand. This new material, described in the journal Advanced Materials, could pave the way for next-generation protective gear, aerospace structures, and adaptive robotic systems.

👉 Read the original article on Phys.org

Dr. Reynold Panettieri, MD — Novel Therapeutic Approaches To Treat Airways Diseases

Novel Therapeutic Approaches To Treat Airways Diseases — Dr. Reynold Panettieri, MD, — Vice Chancellor for Translational Medicine and Science Director, Rutgers Institute for Translational Medicine and Science / Professor of Medicine, Robert Wood Johnson Medical School.

Anti-radar based on metasurface

In advanced multi-static radar (MSR), multidimensional information from target echo signals is collected by different receivers to enable precise localization using various algorithms. Owing to its efficient target localization and tracking capability, MSR has found wide applications in sensing, military operations, aviation, and aerospace. Multi-static nature of MSR also makes it difficult to counter. Here, we propose an anti-radar methodology based on space-time-coding metasurface (STCM) to counter MSR. By designing the physical characteristics of STCM and developing adaptive and robust electronic countermeasure (ECM) control strategies, we realize a cost-effective, miniaturized and low-complexity ECM system with the flexible controlling capabilities. Under non-cooperative and dynamic ECM scenarios, the proposed method shows exceptional concealment and deception performance. To validate the methodology, we develop a prototype of the STCM-based anti-MSR system and successfully demonstrate its ability to neutralize various MSR technologies. The proposed method is expected to find practical applications in the anti-MSR scenarios.

This study proposes an anti-radar methodology based on space-time-coding metasurface to counter multi-static radar, which enables a cost-effective, miniaturized, and low complexity electronic countermeasure system.

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