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Circa 2011


Gravity is no obstacle for this climbing robot. It scales vertical walls—even those made of smooth materials like glass. Jeff Krahn, an engineer from Simon Fraser University in British Columbia, created this gecko-inspired tank of a robot, which he detailed in a paper in the journal Smart Materials and Structures this week.

Like a gecko, which can hang on to sheer glass with just one toe, the climbing bot uses what physicists call Van der Waals forces to stick to the wall. Its tanklike tracks are covered in a dry adhesive, a polymer resembling silicon that allows adhesion without chemicals or added energy. The molecules that make up this substance are temporary dipoles; they have a positively charged side and a negatively charged side. The charged sides of the molecules are attracted to their corresponding opposites on the wall the robot is climbing: negative to positive, positive to negative. Given enough surface area for these attractions to take place, Van der Waals forces can keep a pretty substantial weight stuck to a vertical wall. The climbing bot, for example, weighs in at half a pound.

A team of researchers working on the Borexino project has announced that they have observed carbon/nitrogen/oxygen (CNO) fusion neutrinos from the sun for the first time. Co-spokesman for the group, Gioacchino Ranucci, a physicist at the University of Milan, announced the observation at this year’s virtual Neutrino 2020 conference.

The Borexino solar-neutrino project is an experiment being conducted underground at Gran Sasso National Laboratories in Italy—it has been in operation since 2007. Its mission is to observe neutrinos that are emitted from the sun via two kinds of fusion reactions. The laboratory is located beneath a kilometer of rock to filter noise. Inside, it houses a huge balloon made of nylon and filled with 278 tonnes of liquid hydrocarbons surrounded by water in a tank. The temperature inside the tank is kept constant by heat exchangers and a blanket cover. Photon sensors line the tank. Neutrinos can be observed when they collide with electrons inside the balloon, creating a tiny flash. The researchers determine the characteristics of the flashes, information that can be used to isolate their source.

Researchers on the project observed neutrinos from a type of fusion reaction called a proton-proton chain back in 2012—they are believed to represent 99 percent of the energy released from the sun. Spotting neutrinos produced during CNO reactions has presented more of a challenge because there are far fewer of them. In both cases, hydrogen is fused into helium. The elements that are part of the reaction are referred to as chains because they allow such reactions to proceed. In his presentation, Ranucci, claimed that the team had “…unraveled the two processes powering the sun.”

:ooooo.


What is CAR-T therapy?

CAR-T therapy involves genetically engineering patient T-cells so that they express a chimeric antigen receptor (CAR).

CARs consist of a protein that binds to cancer cells, usually an antibody, fused to the signaling domain from a T-cell receptor (TCR). The idea is that a killer T-cell expressing the CAR engages cancer cells and eliminates them.

Just recycle the hydrogen and bring to another layer in the sun :3.


Remember the movie Sunshine, where astronomers learn that the Sun is dying? So a plucky team of astronauts take a nuclear bomb to the Sun, and try to jump-start it with a massive explosion. Yeah, there’s so much wrong in that movie that I don’t know where to start. So I just won’t.

Seriously, a nuclear bomb to cure a dying Sun?

Researchers from the Institute of Industrial Science at The University of Tokyo designed and built specialized computer hardware consisting of stacks of memory modules arranged in a 3D-spiral for artificial intelligence (AI) applications. This research may open the way for the next generation of energy-efficient AI devices.

Machine learning is a type of AI that allows computers to be trained by example data to make predictions for new instances. For example, a smart speaker algorithm like Alexa can learn to understand your voice commands, so it can understand you even when you ask for something for the first time. However, AI tends to require a great deal of electrical energy to train, which raises concerns about adding to climate change.

Now, scientists from the Institute of Industrial Science at The University of Tokyo have developed a novel design for stacking resistive random-access memory modules with oxide semiconductor (IGZO) access transistor in a three-dimensional spiral. Having on-chip nonvolatile memory placed close to the processors makes the machine learning training process much faster and more energy-efficient. This is because electrical signals have a much shorter distance to travel compared with conventional computer hardware. Stacking multiple layers of circuits is a natural step, since training the algorithm often requires many operations to be run in parallel at the same time.

With these new findings scientists can potentially better understand the subtle changes that can occur in genes and brain circuits that can lead to mental health disorders such as anxiety and autism spectrum disorders.

Although physically very different, research has found that the brains of flies, mice and humans are similar in how they form and how they function. Data has shown that the that underlie the brain development of insects and mammals are very similar but this can be interpreted in two different ways, where some believe it provides evidence of one single ancestor for both mammals and insects and others think it could support the theory that brains evolved multiple times independently.

Published in the journal Proceedings of the National Academy of Sciences (PNAS), this collaborative study between King’s College London, University of Arizona, University of Leuven and Leibniz Institute DSMZ has provided strong evidence that the mechanisms that regulate genetic activity required for the formation of brain areas important to control behavior, is the same for insects and mammals.

Download your free white paper to discover the applications for machine learning in engineering and the physical sciences.

Machine Learning offers important new capabilities for solving today’s complex problems, but it’s not a panacea. To get beyond the hype, engineers and scientists must discern how and where machine learning tools are the best option — and where they are not.

One of the reasons the SARS-CoV-2 virus is so successful u2014 and thus dangerous u2014 is that it can suppress the non-specific immune response. In addition, it lets the human cell produce the viral protein PLpro (papain-like protease). PLpro has two functions: It plays a role in the maturation and release of new viral particles, and it suppresses the development of type 1 interferons. The German and Dutch researchers have now been able to monitor these processes in cell culture experiments. Moreover, if they blocked PLpro, virus production was inhibited and the innate immune response of the human cells was strengthened at the same time.nn


COVID-19 Research: Anti-viral Strategy With Double Effect

In the case of an infection, the SARS-CoV-2 virus must overcome various defense mechanisms of the human body, including its non-specific or innate immune defense. During this process, infected body cells release messenger substances known as type 1 interferons. These attract natural killer cells, which kill the infected cells.

One of the reasons the SARS-CoV-2 virus is so successful — and thus dangerous — is that it can suppress the non-specific immune response. In addition, it lets the human cell produce the viral protein PLpro (papain-like protease). PLpro has two functions: It plays a role in the maturation and release of new viral particles, and it suppresses the development of type 1 interferons. The German and Dutch researchers have now been able to monitor these processes in cell culture experiments. Moreover, if they blocked PLpro, virus production was inhibited and the innate immune response of the human cells was strengthened at the same time.

Circa 2018 face_with_colon_three


If you don’t like mushrooms, it might be because you haven’t tried them yet in dress or jacket form. Believe it or not, mushrooms can now be fashioned into flexible leather-like clothing, purses, pants, and even durable furniture and building bricks for a cleaner, more sustainable planet. Phil Ross and his team at the San Francisco-based MycoWorks, a group of engineers, designers, and scientists, are developing products inspired by fungi’s lattice-like “roots,” called mycelium. According to the MycoWorks website, mycelium are carbon-negative and can also be naturally dyed any color, so your mushroom dress or house can be bright purple, fuchsia, or Cerulean blue if tan seems too subtle.

According to the website of Italy’s Mogu agency, which specializes in developing and scaling-up a range of mycelium-based technologies for the production of naturally-grown biomaterials and products, mushroom-based fabric can be tweaked to be as hard as enamel and shell-like or as soft and porous as a sponge, depending on the amount of light, humidity, exchange of gas, temperature, and types of “food” the mushroom is given (hemp, straw, etc.), rendering it as the ideal creative material for whatever you envision forging.

Mogu has proven that fabric created from mycelium is non-toxic, waterproof, and fire-resistant. It can be as thin as paper for dresses and lamp shades, or incredibly thick for heavy-duty items, and in both cases, the end result is remarkably flexible and strong.

A drone has successfully inspected a 19.4 meter high oil tank onboard a Floating Production, Storage and Offloading vessel. The video shot by the drone was interpreted in real-time by an algorithm to detect cracks in the structure.

Scout Drone Inspection and class society DNV GL have been working together to develop an autonomous drone system to overcome the common challenges of tank inspections. For the customer, costs can run into hundreds of thousands of dollars as the tank is taken out of service for days to ventilate and construct scaffolding. The tanks are also tough work environments, with surveyors often having to climb or raft into hard to reach corners. Using a drone in combination with an algorithm to gather and analyse video footage can significantly reduce survey times and staging costs, while at the same time improving surveyor safety.

“We’ve been working with drone surveys since 2015,” said Geir Fuglerud, director of ofshore classification at DNV GL – Maritime. “This latest test showcases the next step in automation, using AI to analyse live video. As class we are always working to take advantage of advances in technology to make our surveys more efficient and safer for surveyors, delivering the same quality while minimising our operational downtime for our customers.”