Lifeboat Foundation

Researchers have designed a new way to make concrete that would make frustrating cracks a thing of the past.

So everybody likes to ride the roads, but no one likes to endure the roadwork. Sound familiar? We have all found ourselves shaking a fist or two at some construction workers, maybe even pointing our favorite finger at them to drive home the point of our frustration. If only there were a way to lay pavement in a quick, efficient manner? You know, something that had the style and panache of R2D2 that operated with the work ethic of your grandfather.

Well, check out this little wonder. Known as the Fastlane Paver, it is produced by Volvo and works quite well. Most paving machines will lay asphalt or concrete, then get smoothed out by a Caterpillar Steam roller or tamping machine to make the surface smooth and drivable. Not the case with the Fastlane though. It is an all in one paver. Capable of laying aggregate and pervious concrete, this machine can lay down a three meter wide strip at a distance of 18 lineal meters without stopping. Yep, you read that right. It does all of this in one pass, with no break.

A group of scientists from NUST MISIS developed a ceramic material with the highest melting point among currently known compounds. Due to the unique combination of physical, mechanical and thermal properties, the material is promising for use in the most heat-loaded components of aircraft, such as nose fairings, jet engines and sharp front edges of wings operating at temperatures above 2000 degrees C. The results are published in Ceramics International.

The ability to estimate the physical properties of objects is of key importance for robots, as it allows them to interact more effectively with their surrounding environment. In recent years, many robotics researchers have been specifically trying to develop techniques that allow robots to estimate tactile properties of objects or surfaces, which could ultimately provide them with skills that resemble the human sense of touch.

Building on previous research, Matthew Purri, a Ph.D. student specializing in Computer Vision and AI at Rutgers University, recently developed a convolutional neural network (CNN)-based model that can estimate tactile properties of surfaces by analyzing images of them. Purri’s new paper, pre-published on arXiv, was supervised by Kristin Dana, a professor of Electrical Engineering at Rutgers.

“My previous research dealt with fine-grain material segmentation from satellite images,” Purri told TechXplore. “Satellite image sequences provide a wealth of material information about a scene in the form of varied viewing and illumination angles and multispectral information. We learned how valuable multi-view information is for identifying material from our previous work and believed that this information could act as a cue for the problem of physical surface property estimation.”

Scientific Reports volume 10, Article number: 2222 (2020) Cite this article.

As coronavirus spreads to countries with medical systems destroyed by war and corruption, citizens are finding innovative ways to help frontline workers. CNN’s Arwa Damon follows people in Afghanistan, Zimbabwe and Syria who have all found ways to build ventilators from recycled parts and with limited funding.

Excellent speech.

Our civilization is made up of countless individuals and pieces of material technology, which come together to form institutions and interdependent systems of logistics, development and production. These institutions and systems then store the knowledge required for their own renewal and growth.

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How do you recycle the equivalent of 1,8 million single use plastic bags, and resolve South Africa’s pothole problem? Roll out plastic roads, of course!

That’s exactly what the Kouga Municipality in the Eastern Cape is in the process of doing – and the benefits to road users are manifold.

The concept of a plastic road isn’t a new one. Several years ago, companies in Scotland and the USA pioneered the idea of breaking down plastic waste, and adding it to asphalt. Now, there are thousands of kilometres of plastic roads all over the world, from Australia, the UK and New Zealand to India, Turkey, Slovenia and now South Africa.

Moderna has accelerated its manufacturing capacity for its COVID-19 vaccine candidate mRNA-1273 and additional future products through a 10-year agreement with Lonza announced today by the companies.

The companies agreed to establish manufacturing suites for Moderna at Lonza’s facilities in the U.S. and Switzerland for the production of mRNA-1273. Technology transfer is expected to begin in June, with the first batches of mRNA-1273 set to be manufactured at Lonza’s U.S. site in July.

Moderna and Lonza also said they intend to establish additional production suites across Lonza’s worldwide facilities, ultimately allowing for the manufacture of material equivalent to up to 1 billion doses of mRNA-1273 per year for use worldwide, based on the currently expected dose of 50 mcg.