Lifeboat Foundation

The Netherlands’ Nuclear Research and Consultancy Group (NRG) has completed a major milestone irradiation test of molten nuclear fuel salts in its High Flux Reactor at Petten 37 mi (60 km) north of Amsterdam. The first test of its kind since the ones carried out at Oak Ridge, Tennessee in the 1960s, its purpose is to learn more about the safe operation of a future Molten Salt Reactor (MSR).

First developed in the United States in the 1950s and ’60s, MSRs differ from conventional light-water nuclear reactors in a number of significant ways that make them potentially a safer and more efficient alternative. This is because, though a light-water reactor and an MSR work on the same principle of nuclear fission, they have a fundamentally different engineering design.

They may not have fur, but we love them anyway.

Never-before-seen chemical modifications set biochemists abuzz.

Too many hospitals provide medications according to the practicalities of their staffing schedules rather than the ideal dosing times for their patients, according to a new study led by experts at Cincinnati Children’s.

The study, published Oct. 1, 2019, in PNAS, was led by David Smith, MD, Ph.D., Divisions of Pediatric Otolaryngology and Pulmonary Medicine; Marc Ruben, Ph.D.; and John Hogenesch, Ph.D., Co-Director, Center for Circadian Medicine at Cincinnati Children’s.

The study examined the daily distribution of approximately 500,000 doses of 12 drugs in 1,486 inpatients at a major U.S. children’s hospital.

Some researchers have raised the possibility that, if quantum computers fail to deliver anything of use soon, a quantum winter will descend: enthusiasm will wane and funding will dry up before researchers get anywhere close to building full-scale machines. “Quantum winter is a real concern,” Preskill says. But he remains upbeat, because the slow progress has forced researchers to adjust their focus and see whether the devices they already have might be able to do something interesting in the near future.

Researchers search for ways to put today’s small noisy quantum systems to work. The hunt for useful quantum computers.

Last summer, scientists found a “ghost particle” in Antarctica. Now we know more about where it came from: a mysterious galaxy 3.8 billion light-years away.

Their initial discovery had seemed like a contradiction because most other polymer fibres embrittle in the cold. But after many years of working on the problem, the group of researchers have discovered that silk’s cryogenic toughness is based on its nano-scale fibrills. Sub-microscopic order and hierarchy allows a silk to withstand temperatures of down to −200 C. And possibly even lower, which would make these classic natural luxury fibres ideal for applications in the depths of chilly outer-space.

The interdisciplinary team examined the behaviour and function of several animal silks cooled down to liquid nitrogen temperature of −196 C. The fibres included spider silks but the study focused on the thicker and much more commercial fibres of the wild silkworm Antheraea pernyi.

In an article published today in Materials Chemistry Frontiers, the team was able to show not only ‘that’ but also ‘how’ silk increases its toughness under conditions where most materials would become very brittle. Indeed, silk seems to contradict the fundamental understanding of polymer science by not losing but gaining quality under really cold conditions by becoming both stronger and more stretchable. This study examines the ‘how’ and explains the ‘why’. It turns out that the underlying processes rely on the many nano-sized fibrils that make up the core of a silk fibre.

Biomedical engineers at Duke University have devised a machine learning approach to modeling the interactions between complex variables in engineered bacteria that would otherwise be too cumbersome to predict. Their algorithms are generalizable to many kinds of biological systems.

In the new study, the researchers trained a neural network to predict the circular patterns that would be created by a biological circuit embedded into a bacterial culture. The system worked 30,000 times faster than the existing computational model.

To further improve accuracy, the team devised a method for retraining the machine learning model multiple times to compare their answers. Then they used it to solve a second biological system that is computationally demanding in a different way, showing the algorithm can work for disparate challenges.

#Space_Aus 🛰️ 🇦🇺.