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Autonomous vehicles need to operate in a complex environment, and recognizing traffic signs is an important part of that. A new microstructured material reflects light in rainbow rings, which can make traffic signs easier for computer vision systems to read.

Even outside of fully autonomous vehicles, traffic sign recognition has been part of driver assistance systems for over a decade. Normally the technology is based on recognizing colors or shapes of signs, but it doesn’t always get it right in the real world, where readability can be affected by lighting, weather, obstacles, damage, or something as simple as stickers on the sign.

So for the new study a team of researchers investigated a promising new material that could make the job easier. It’s a new form of retroreflective material, already commonly used to highlight signs and road markings by bouncing light from a vehicle’s headlights straight back at a driver. But rather than focus that light, the new material scatters it to create eye-catching patterns.

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Researchers at North Carolina State University have created a soft and stretchable device that converts movement into electricity and can work in wet environments.

“Mechanical energy—such as the kinetic energy of wind, waves, and vibrations from motors—is abundant,” says Michael Dickey, corresponding author of a paper on the work and Camille & Henry Dreyfus Professor of Chemical and Biomolecular Engineering at NC State. “We have created a that can turn this type of mechanical motion into . And one of its remarkable attributes is that it works perfectly well underwater.”

The heart of the energy harvester is a liquid metal alloy of gallium and indium. The alloy is encased in a hydrogel—a soft, elastic polymer swollen with water.

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Indication of Strongly Correlated Electron Transport and Mott Insulator in Disordered Multilayer Ferritin Structures (DMFS)

PDF | Tests of devices using a layer-by-layer deposition process for forming multilayer arrays of ferritin have been previously reported that indicate… | Find, read and cite all the research you need on ResearchGate.

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Integrated Information Theory is one of the leading models of consciousness. It aims to describe both the quality and quantity of the conscious experience of a physical system, such as the brain, in a particular state. In this contribution, we propound the mathematical structure of the theory, separating the essentials from auxiliary formal tools. We provide a definition of a generalized IIT which has IIT 3.0 of Tononi et al., as well as the Quantum IIT introduced by Zanardi et al. as special cases. This provides an axiomatic definition of the theory which may serve as the starting point for future formal investigations and as an introduction suitable for researchers with a formal background.

Integrated Information Theory (IIT), developed by Giulio Tononi and collaborators [5, 45–47], has emerged as one of the leading scientific theories of consciousness. At the heart of the latest version of the theory [19, 25 26, 31 40] is an algorithm which, based on the level of integration of the internal functional relationships of a physical system in a given state, aims to determine both the quality and quantity (‘Φ value’) of its conscious experience.

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Dawn Aerospace has successfully completed five test flights of its uncrewed Mk-II Aurora suborbital spaceplane in the skies over Glentanner Aerodrome on New Zealand’s South Island. The flights were conducted by the New Zealand-Dutch space transportation company from July 28 to 30 2021 at altitudes of up to 3,400 feet (1,036 m), with the prototype airframe fitted with surrogate jet engines.

The three-days of test flights to assess the airframe and avionics of the aircraft took place under a certificate issued to Dawn by the New Zealand Civil Aviation Authority (CAA), which allowed the Mk-II Aurora to operate from conventional airports without airspace restrictions after ground tests were completed.

The Mk-II Aurora is designed to take off and land horizontally using conventional runways. It’s currently equipped with surrogate jet engines, but these will be replaced by a liquid-fuel rocket engine, which is now undergoing static tests. Once installed, the hydrogen peroxide/kerosene engine will propel the spaceplane to supersonic speeds and high altitudes, and ultimately to a height of 100 km (62 mi) on a suborbital trajectory.

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DNA damage by radiation is a concern for space travelers. New experiments on the ISS show that CRISPR gene editing tools can function in space and can potentially be used to mitigate these effects.

Image credit: Norbert Kowalczyk Unsplash

Studying DNA repair is key to future space exploration, which could expose humans to risk of DNA damage caused by radiation. Conditions in space also could affect the way the body repairs such damage, potentially compounding that risk.

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The Human Cell Atlas is the world’s largest, growing single-cell reference atlas. It contains references of millions of cells across tissues, organs and developmental stages. These references help physicians to understand the influences of aging, environment and disease on a cell—and ultimately diagnose and treat patients better. Yet, reference atlases do not come without challenges. Single-cell datasets may contain measurement errors (batch effect), the global availability of computational resources is limited and the sharing of raw data is often legally restricted.

Researchers from Helmholtz Zentrum München and the Technical University of Munich (TUM) developed a novel called “scArches,” short for single-cell architecture surgery. The biggest advantage: “Instead of sharing raw data between clinics or research centers, the algorithm uses transfer learning to compare new from single-cell genomics with existing references and thus preserves privacy and anonymity. This also makes annotating and interpreting of new data sets very easy and democratizes the usage of single-cell reference atlases dramatically,” says Mohammad Lotfollahi, the leading scientist of the algorithm.

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