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Saccharine, aspartame, sucralose.

New research has discovered that common artificial sweeteners can cause previously healthy gut bacteria to become diseased and invade the gut wall, potentially leading to serious health issues.

The study, published in the International Journal of Molecular Sciences, is the first to show the of some of the most widely used artificial sweeteners—saccharin, sucralose, and aspartame—on two types of gut bacteria, E. coli (Escherichia coli) and E. faecalis (Enterococcus faecalis).

Previous studies have shown that artificial sweeteners can change the number and type of bacteria in the gut, but this new molecular research, led by academics from Anglia Ruskin University (ARU), has demonstrated that sweeteners can also make the bacteria pathogenic. It found that these can attach themselves to, invade, and kill Caco-2 cells, which are that line the wall of the intestine.

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Entering an invisible doorway to catch a train at King’s Cross station in London is a renowned fictional scene from the Harry Potter series. In recent decades, physicists have been trying to produce a similar effect by focusing their research efforts on illusion devices.

Illusion devices are devices that can change the optical properties of objects to match those of other virtual objects or make them apparently invisible, producing an . Two common types of illusion devices are super-scatterers and invisible gateways. The first are designed to scatter light and the second to bounce back light rays through a physical gateway.

From a theoretical standpoint, super-scatterers and invisible gateways have so far been primarily studied in the context of transformation optics and folded geometry transformations (i.e., the visual, illusory transformation of objects into other objects). Experimentally realizing these devices, however, requires the use of metamaterials with specific properties (e.g., a negative permittivity and permeability) that can be difficult to employ in fabrication processes.

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“We’re excited to share that AWS has acquired Wickr, an innovative company that has developed the industry’s most secure, end-to-end encrypted, communication technology,” Stephen Schmidt, Amazon Web Services’ vice president, wrote. With a nod to the company’s ever-deepening relationships with the military, and Washington in general, Schmidt added that Wickr’s features give “security conscious enterprises and government agencies the ability to implement important governance and security controls to help them meet their compliance requirements.” Schmidt himself has a background in this space: his LinkedIn profile notes he spent a decade at the FBI.

Wickr’s app — like secure messaging competitor Signal — has been popular with journalists and whistleblowers; it’s also been a go-to for criminals, Motherboard notes. It’s unclear if the proximity to the tech monolith will impact the app’s popularity for free users.

In Amazon’s case, Schmidt indicates the acquisition was at least partially influenced by the need to preserve information security while working remotely. “With the move to hybrid work environments, due in part to the COVID-19 pandemic, enterprises and government agencies have a growing desire to protect their communications,” he wrote.

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STANFORD, Calif. — A groundbreaking “superhero” vaccine inspired by the DNA code of Olympic athletes could help transform society over the next decade, a top genetic scientist claims.

The vaccine would provide lifelong protection against three of the top ten leading causes of death, according to Euan Ashley, professor of medicine and genetics at Stanford University. The so-called “superhero” jab could offer simultaneous, long-term protection against heart disease, stroke, Alzheimer’s disease, and liver disease, thanks to advances in genetic engineering.

This breakthrough treatment would deliver the blueprint of “ideal” cells from men and women whose genes are more disease-resistant than those of the average person, together with an “instruction manual” to help the body “repair, tweak and improve” its own versions. A single dose could lead to a “body-wide genetic upgrade” that would cut the risk of premature death in some adults by as much as 50 percent.

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Tech billionaires Elon Musk and Jack Dorsey have agreed to discuss bitcoin with each other at an event in July.

In a bizarre Twitter thread, Musk responded to a tweet from Dorsey promoting an event called “The B Word,” which aims to encourage companies and institutional investors to adopt bitcoin.

“Bicurious?” the Tesla CEO said, seemingly referring to the “B” word in question.

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Researchers at Google Brain announced a deep-learning computer vision (CV) model containing two billion parameters. The model was trained on three billion images and achieved 90.45% top-1 accuracy on ImageNet, setting a new state-of-the-art record.

The team described the model and experiments in a paper published on arXiv. The model, dubbed ViT-G/14, is based on Google’s recent work on Vision Transformers (ViT). ViT-G/14 outperformed previous state-of-the-art solutions on several benchmarks, including ImageNet, ImageNet-v2, and VTAB-1k. On the few-shot image recognition task, the accuracy improvement was more than five percentage-points. The researchers also trained several smaller versions of the model to investigate a scaling law for the architecture, noting that the performance follows a power-law function, similar to Transformer models used for natural language processing (NLP) tasks.

First described by Google researchers in 2017, the Transformer architecture has become the leading design for NLP deep-learning models, with OpenAI’s GPT-3 being one of the most famous. Last year, OpenAI published a paper describing scaling laws for these models. By training many similar models of different sizes and varying the amount of training data and computing power, OpenAI determined a power-law function for estimating a model’s accuracy. In addition, OpenAI found that not only do large models perform better, they are also more compute-efficient.

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It’s hard to see more than a handful of stars from Princeton University, because the lights from New York City, Princeton, and Philadelphia prevent our sky from ever getting pitch black, but stargazers who get into more rural areas can see hundreds of naked-eye stars — and a few smudgy objects, too.

The biggest smudge is the Milky Way itself, the billions of stars that make up our spiral galaxy, which we see edge-on. The smaller smudges don’t mean that you need glasses, but that you’re seeing tightly packed groups of stars. One of the best-known of these “clouds” or “clusters” — groups of stars that travel together — is the Pleiades, also known as the Seven Sisters. Clusters are stellar nurseries where thousands of stars are born from clouds of gas and dust and then disperse across the Milky Way.

For centuries, scientists have speculated about whether these clusters always form tight clumps like the Pleiades, spread over only a few dozen lightyears.

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