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Blog – Page 6225

Leave it to the Japanese to come up with technology-induced fruit

A Tokyo-based startup called Sanatech Seed Co. teamed up with scientists at the University of Tsukuba to develop a new variety of tomatoes with the help of CRISPR/Cas9 gene-editing technology. The result was a Sicilian Rouge High GABA which contains high levels of gamma-aminobutyric acid (GABA), an amino acid that is believed to have lower blood pressure and help in relaxation.

The company was able to add high levels of GABA by removing an inhibitory domain within the tomato’s genome to enable the high production of GABA. According to Shimpei Takeshita, President of Sanatech Seed and Chief Innovation Officer of Pioneer EcoScience, the company was given permission to commercialize the genetically altered Sicilian Rouge GABA variety last December. The contract farmers had been growing them ever since and now these tomatoes are finally ready to hit the stores and become a useful product.

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Reservoir computing, a machine learning algorithm that mimics the workings of the human brain, is revolutionizing how scientists tackle the most complex data processing challenges, and now, researchers have discovered a new technique that can make it up to a million times faster on specific tasks while using far fewer computing resources with less data input.

With the next-generation technique, the researchers were able to solve a complex computing problem in less than a second on a desktop computer — and these overly complex problems, such as forecasting the evolution of dynamic systems like weather that change over time, are exactly why reservoir computing was developed in the early 2000s.

These systems can be extremely difficult to predict, with the “butterfly effect” being a well-known example. The concept, which is closely associated with the work of mathematician and meteorologist Edward Lorenz, essentially describes how a butterfly fluttering its wings can influence the weather weeks later. Reservoir computing is well-suited for learning such dynamic systems and can provide accurate projections of how they will behave in the future; however, the larger and more complex the system, more computing resources, a network of artificial neurons, and more time are required to obtain accurate forecasts.

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Scientists at Stanford University and the University of North Carolina at Chapel Hill have created a 3D-printed vaccine patch that provides greater protection than a typical vaccine shot.

The trick is applying the vaccine patch directly to the skin, which is full of immune cells that vaccines target.

The resulting immune response from the vaccine patch was 10 times greater than vaccine delivered into an arm muscle with a needle jab, according to a study conducted in animals and published by the team of scientists in the Proceedings of the National Academy of Sciences.

Scientists at Stanford University and University of North Carolina at Chapel Hill create a vaccine patch with microneedles that dissolve into the skin.

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A subatomic particle has been found to switch between matter and antimatter, according to Oxford physicists analyzing data from the Large Hadron Collider. It turns out that an unfathomably tiny weight difference between two particles could have saved the universe from annihilation soon after it began.

Antimatter is kind of the “evil twin” of normal matter, but it’s surprisingly similar – in fact, the only real difference is that antimatter has the opposite charge. That means that if ever a matter and antimatter particle come into contact, they will annihilate each other in a burst of energy.

To complicate things, some particles, such as photons, are actually their own antiparticles. Others have even been seen to exist as a weird mixture of both states at the same time, thanks to the quantum quirk of superposition (illustrated most famously through the thought experiment of Schrödinger’s cat.) That means that these particles actually oscillate between being matter and antimatter.

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