Lifeboat Foundation

NASA has edged one step closer to building Moon and Mars colonies using the celestial bodies’ soil. Universe Today notes that NASA’s latest International Space Station resupply mission included a machine meant to demonstrate 3D printing regolith (that is, loose soil or rock) on the Moon and similar extraterrestrial surfaces.

The Redwire Regolith Print (RRP) project will work in tandem with an existing printer system (ManD) to try 3D printing simulated regolith. If that succeeds, the ISS crew will gauge the strength of the resulting material to see if it can handle the harsh conditions beyond Earth.

If all goes well, RRP could lead to colonists printing at least some of their habitats on-demand. That, in turn, could reduce the volume of construction supplies NASA brings to the Moon and Mars. Scientists have envisioned soil-based habitats for years, but this test is relatively realistic — it’s an attempt at 3D printing soil in lower gravity. While there will still be much work to do, the long-term goals for Artemis and future Mars missions may be that much more achievable.

“A new study suggests that if Europe planted trees across all the land suitable for reforestation, it might not only sequester carbon but also partially ameliorate the increasingly dry European summers predicted by climate change models.”

Plant more trees! This message has been one of the cornerstones of the European response to worsening climate change. A new study published in Nature Geoscience suggests that if Europe planted trees across all the land suitable for reforestation, it might not only sequester carbon, but also partially ameliorate the increasingly dry European summers predicted by climate change models. In all, mass reforestation could increase summer rainfall by an average of 7.6%.

“When planned carefully, reforestation could result in additional benefits in regions where it is implemented,” said Ronny Meier, a researcher at the Swiss Federal Institute of Technology, Zurich (ETH Zürich), and lead author on the study.

Continue reading “Reforestation holds promise for Europe’s increasingly drier summers” »

A team of researchers at Washington University School of Medicine have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI scan, according to a study published in Radiology: Artificial Intelligence.

“This is the first study to address the most common intracranial tumors and to directly determine the tumor class or the absence of tumor from a 3D MRI volume,” said Satrajit Chakrabarty, M.S., a doctoral student under the direction of Aristeidis Sotiras, Ph.D., and Daniel Marcus, Ph.D., in Mallinckrodt Institute of Radiology’s Computational Imaging Lab at Washington University School of Medicine in St. Louis, Missouri.

The six most common intracranial tumor types are high-grade glioma, low-grade glioma, brain metastases, meningioma, pituitary adenoma and acoustic neuroma. Each was documented through histopathology, which requires surgically removing tissue from the site of a suspected cancer and examining it under a microscope.

Using hydrogen for transportation is criticized by many. It would not be as energy-efficient as batteries, and a recent study even pointed out that producing it can be more pollutant than just burning the natural gas from where it is extracted. One of the main hurdles involving it is storage: putting the gas in a tank demands a lot of energy. E for Electric discovered a “solid-state hydrogen fueling” thanks to Sandy Munro and told us more about Plasma Kinetics, the company that developed it.

The research aims to bring the brains to a computer interface to solve its problems.

This work proves that stability of C60 is a geometrical property of the thermodynamics of the system: a significant methodological advance since a detailed treatment of the energetics may be avoidable. This approach may be fruitful, not only for fullerenes but also for general problems of molecular stability and in other applications of conformational chemistry. For the non-chiral C60, C384, and the weakly-chiral C28, C76 and C380 (of these, C380 and C384 are classed as “unspirallable”), Schlegel projections are used to show that these fullerenes can all be represented by pairs of spirals counter-propagating in anti-parallel (C2) symmetry. For C60, the high symmetry is used to construct an analytical approximation for the spherical double-spirals, shown mathematically to be Maximum Entropy (MaxEnt) using the formalism of Quantitative Geometrical Thermodynamics (QGT). Therefore C60 is necessarily stable. This MaxEnt stability criterion is general, depending only on the geometry and not the kinematics of the system. The sense and degree of chirality for C76 and C380 is also quantified using a Shannon entropy-based fragmentation metric.

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A team of researchers in northern China developed the world’s hardest glassy material, the transparent, yellow-tinted AM-III, which is capable of leaving a deep scratch on the surface of a diamond, a report from South China Morning Post explains.

The material, which is made entirely of carbon, reached a 113 gigapascals (GPa) on the Vickers hardness test. As a point of reference, natural diamonds usually score somewhere between 50 and 70 on the GPa scale.

The findings of the research, led by Professor Tian Yongjun of Yanshan University in Qinhuangdao, Hebei province, were published in the journal National Science Review. In 2,013 Tian and his team created the world’s hardest material that’s visible to the naked eye, a boron nitride crystal that is twice as hard as diamond at 200 GPa.

Continue reading “Scientists Just Created a New ‘Glass’ That’s Tougher Than Diamond” »

Starliner is supposed to fly astronauts for NASA someday, but it keeps having “significant” technical issues. Now it’s going back to the factory.

Commercial prospects for robotaxi services remain uncertain in the near term due to the immaturity of the technology, the absence of legislation to clearly define responsibility in case of a self-driving accident, and persistently high costs associated with the complex self-driving systems.

Baidu’s autonomous driving unit has partnered with the luxury electric vehicle brand of BAIC Group to bring fifth generation Apollo Moon robotaxis to Chinese roads, cutting the cost of the vehicles by two thirds.