Newly discovered enzyme that turns air into electricity, providing a new clean source of energy

Australian scientists have discovered an enzyme that converts air into energy. The finding, published today in the journal Nature, reveals that this enzyme uses the low amounts of the hydrogen in the atmosphere to create an electrical current. This finding opens the way to create devices that literally make energy from thin air.

The research team, led by Dr. Rhys Grinter, Ph.D. student Ashleigh Kropp, and Professor Chris Greening from the Monash University Biomedicine Discovery Institute in Melbourne, Australia, produced and analyzed a -consuming enzyme from a common soil bacterium.

[…]

In this Nature paper, the researchers extracted the enzyme responsible for using atmospheric hydrogen from a bacterium called Mycobacterium smegmatis. They showed that this enzyme, called Huc, turns hydrogen gas into an . Dr. Grinter notes, “Huc is extraordinarily efficient. Unlike all other known enzymes and chemical catalysts, it even consumes hydrogen below atmospheric levels—as little as 0.00005% of the air we breathe.”

The researchers used several cutting-edge methods to reveal the molecular blueprint of atmospheric hydrogen oxidation. They used (cryo-EM) to determine its and electrical pathways, pushing boundaries to produce the most resolved enzyme structure reported by this method to date. They also used a technique called electrochemistry to demonstrate the purified enzyme creates electricity at minute hydrogen concentrations.

Laboratory work performed by Kropp shows that it is possible to store purified Huc for long periods. “It is astonishingly stable. It is possible to freeze the enzyme or heat it to 80 degrees celsius, and it retains its power to generate energy,” Kropp said. “This reflects that this enzyme helps bacteria to survive in the most extreme environments. ”

Huc is a “natural battery” that produces a sustained electrical current from air or added hydrogen. While this research is at an early stage, the discovery of Huc has considerable potential to develop small air-powered devices, for example as an alternative to solar-powered devices.

The bacteria that produce enzymes like Huc are common and can be grown in large quantities, meaning we have access to a sustainable source of the . Dr. Grinter says that a key objective for future work is to scale up Huc production. “Once we produce Huc in sufficient quantities, the sky is quite literally the limit for using it to produce clean .”

More information: Chris Greening, Structural basis for bacterial energy extraction from atmospheric hydrogen, Nature (2023). DOI: 10.1038/s41586-023-05781-7. www.nature.com/articles/s41586-023-05781-7

Source: Newly discovered enzyme that turns air into electricity, providing a new clean source of energy

With the help of OpenAI, Discord is finally adding loads of novel functionalities

[…] Starting next week, the company will begin rolling out a public experiment that will augment Clyde, the built-in bot Discord employs to notify users of errors and respond to their slash commands, with conversational capabilities. Judging from the demo it showed off, Discord envisions people turning to Clyde for information they would have obtained from Google in the past. For instance, you might ask the chatbot for the local time in the place where someone on your server lives to decide if it would be appropriate to message them. You can invoke Clyde at any time, including in private conversations among your friends, by typing @Clyde.

Clyde, Discord's new ChatGPT-powered chatbot, can answer questions for users.
Discord

Discord is quick to note Clyde is programmed not to bother you and your friends. Admins can also disable the chatbot if they don’t want to use the feature on their server. The first time you activate Clyde, Discord will display an opt-in prompt. For users worried about privacy, Anjney Midha, Discord’s head of platform ecosystem, told Engadget the company is not sharing user data with OpenAI to assist the startup in training its machine learning models.

Separate from Clyde, Discord is using OpenAI’s technology to enhance AutoMod, the automated content moderation tool the company introduced last June. As a refresher, server admins and moderators can configure AutoMod to automatically detect and block inappropriate messages before they’re posted by creating a list of words and phrases they don’t want to see. In the nine months since it began rolling out AutoMod, Discord says the feature has blocked more than 45 million unwanted messages.

Moving forward, the tool will use large language models to interpret and apply server rules. In practice, this should make AutoMod capable of spotting and taking action against people who attempt to go against a community’s norms and expectations. In one demo, Discord showed AutoMod taking action against someone who tried to skirt a server rule against self-promotion by writing their message in a different language. In that instance, AutoMod wasn’t preprogrammed to watch for a specific word or phrase, but it was able to use context to infer that there was a potential infraction.

[…]

Discord is also using OpenAI tech to power a feature that everyone should find useful: Conversation Summaries. If you’ve ever joined a large server only to immediately feel like you can’t keep up with some of its more active members, this feature promises to solve one of Discord’s longstanding pain points. When it arrives in a limited number of servers next week, the feature will begin creating bundles designed to provide you with an overview of chats you may have missed while away from the app. Each bundle will include a title, a summary of what was said and any images that were shared, as well as a log of who took part. You won’t need to endlessly scroll to try and piece together something you missed.

It can feel like Discord is just another tech firm up in the generative AI craze, but Midha wants users to know machine learning has been part of the Discord identity for a while. Every month, more than 30 million people use AI applications through the platform, and almost 3 million servers include at least one AI experience. On GitHub, many machine learning projects feature links to Discord servers, a fact Midha attributes to Discord being a natural place for those conversations to start.

Source: With the help of OpenAI, Discord is finally adding conversation summaries | Engadget

Knots smaller than human hair make materials unusually tough and (de|re)formable

[…] In the latest advance in nano- and micro-architected materials, engineers at Caltech have developed a new material made from numerous interconnected microscale knots.

The make the material far tougher than identically structured but unknotted materials: they absorb more energy and are able to deform more while still being able to return to their original shape undamaged. These new knotted materials may find applications in biomedicine as well as in aerospace applications due to their durability, possible biocompatibility, and extreme deformability.

[…]

Each knot is around 70 micrometers in height and width, and each fiber has a radius of around 1.7 micrometers (around one-hundredth the radius of a human hair). While these are not the smallest knots ever made—in 2017 chemists tied a knot made from an individual strand of atoms—this does represent the first time that a material composed of numerous knots at this scale has ever been created. Further, it demonstrates the potential value of including these nanoscale knots in a material—for example, for suturing or tethering in biomedicine.

The knotted materials, which were created out of polymers, exhibit a tensile toughness that far surpasses materials that are unknotted but otherwise structurally identical, including ones where individual strands are interwoven instead of knotted. When compared to their unknotted counterparts, the knotted materials absorb 92 percent more energy and require more than twice the amount of strain to snap when pulled.

The knots were not tied but rather manufactured in a knotted state by using advanced high-resolution 3D lithography capable of producing structures in the nanoscale. The samples detailed in the Science Advancespaper contain simple knots—an overhand with an extra twist that provides additional friction to absorb additional energy while the material is stretched. In the future, the team plans to explore materials constructed from more complex knots.

[…]

More information: Widianto P. Moestopo et al, Knots are not for naught: Design, properties, and topology of hierarchical intertwined microarchitected materials, Science Advances (2023). DOI: 10.1126/sciadv.ade6725

Source: Knots smaller than human hair make materials unusually tough

First Complete Map of a Fly Brain Has Uncanny Similarities to AI Neural Networks

[…] An interdisciplinary team of scientists have released a complete reconstruction and analysis of a larval fruit fly’s brain, published Thursday in the journal Science. The resulting map, or connectome, as its called in neuroscience, includes each one of the 3,016 neurons and 548,000 of the synapses running between neurons that make up the baby fly’s entire central nervous system. The connectome includes both of the larva’s brain lobes, as well as the nerve cord.

[…]

It is the most complete insect brain map ever constructed and the most intricate entire connectome of any animal ever published. In short: it’s a game changer.

For some, it represents a paradigm shift in the field of neuroscience. Fruit flies are model organisms, and many neural structures and pathways are thought to be conserved across evolution. What’s true for maggots might well be true for other insects, mice, or even humans.

[…]

this new connectome is like going from a blurry satellite view to a crisp city street map. On the block-by-block array of an insect’s cortex, “now we know where every 7-11 and every, you know, Target [store] is,” Mosca said.

To complete the connectome, a group of Cambridge University scientists spent 12 years focusing in on the brain of a single, 6-hour-old female fruit fly larva. The organ, approximately 170 by 160 by 70 micrometers in size, is truly teeny—within an order of magnitude of things too small to see with a naked eye. Yet, the researchers were able to use electron microscopy to visually cut it into thousands of slices, only nanometers thick. Imaging just one of the neurons took a day, on average. From there, once the physical map of the neurons, or “brain volume,” was complete, the analysis began.

Along with computer scientists at Johns Hopkins University, the Cambridge neuroscientists assessed and categorized the neurons and synapses they’d found. The JHU researchers fine-tuned a computer program for this exact application in order to determine cell and synapse types, patterns within the brain connections, and to chart some function onto the larva connectome—based on previous neuroscience studies of behavior and sensory systems.

They found many surprises. For one, the larval fly connectome showed numerous neural pathways that zigzagged between hemispheres, demonstrating just how integrated both sides of the brain are and how nuanced signal processing can be, said Michael Winding, one of the study’s lead researchers and a Cambridge University neuroscientist, in a video call. “I never thought anything would look like that,” Winding said.

[…]

Fascinatingly, these recurrent structures mapped from an actual brain appear to closely match the architecture of some artificial intelligence models (called residual neural networks), with nested pathways allowing for different levels of complexity, Zlatic noted.

[…]

Not only was the revealed neural structure layered, but the neurons themselves appear to be multi-faceted. Sensory cells connected across modalities—visual, smell, and other inputs crossed and interacted en route to output cells, explained Zlatic. “This brain does a huge amount of multi-sensory integration…which is computationally a very powerful thing,” she added.

Then there were the types and relative quantities of cell-to-cell connections. In neuroscience, the classic “canonical” type of synapse runs from an axon to a dendrite. Yet, within the mapped larval fly brain, that only accounted for about two-thirds of the connections, Winding and Zlatic said. Axons linked to axons, dendrites to dendrites, and dendrites to axons. Scientists have known these sorts of connections exist in animal nervous systems, but the scope went far beyond what they expected. “Given the breadth of these connections, they must be important for brain computation,” Winding noted. We just don’t know exactly how.

[…]

Source: First Complete Map of a Fly Brain Has Uncanny Similarities to AI Neural Networks

US House reps, staff health data stolen in cyberattack

Health data and other personal information of members of Congress and staff were stolen during a breach of servers run by DC Health Care Link and are now up for sale on the dark web.

The FBI is investigating the intrusion, which came to light Wednesday after Catherine Szpindor, the House of Representatives’ chief administrative officer, sent a letter to House members telling them of the incident. Szpindor wrote that she was alerted to the hack by the FBI and US Capitol Police.

DC Health Link is the online marketplace for the Affordable Care Act that administers the healthcare plans for members of Congress as well as their family and staff.

Szpindor called the incident “a significant data breach” that exposed the personal identifiable information (PII) of thousands of DC Health Link employees and warned the Representatives that their data may have been compromised.

“Currently, I do not know the size and scope of the breach,” she wrote, adding the FBI informed her that account information and PII of “hundreds” of House and staff members were stolen. Once Szpindor has a list of the data taken, she will directly contact those people affected.

[…]

Thousands of House Members and employees from across the United States have enrolled in health insurance through DC Health Link for themselves and their families since 2014,” McCarthy and Jeffries wrote. “The size and scope of impacted House customers could be extraordinary.”

Szpindor in her letter recommended House members consider freezing their credit at Equifax, Experian, and TransUnion until the breadth of the breach is known, particularly which representatives and staff members had their data compromised.

According to CNBC, the Senate may also have been impacted by the breach, with an email sent to offices in that side of Congress saying the Senate at Arms was told of the breach from law enforcement and the “data included the full names, date of enrollment, relationship (self, spouse, child), and email address, but no other Personally Identifiable Information (PII).”

The FBI in a terse statement to the media said it was “aware of this incident and is assisting. This is an ongoing investigation.” Capitol Police said they were working with the FBI.

[…]

At least some of the PII taken during the breach found its way onto a dark web marketplace. In their letter, McCarthy and Jeffries noted the FBI was able to buy the PII and other enrollee information that was breached. The information included names of spouses and dependent children, Social Security numbers, and home addresses.

CNBC said a post on a dark web site put up for sale the data of 170,000 Health Link members and posted data from 11 users as a sample.

[…]

Organizations in the healthcare field have come under increasing attacks in recent years, which is unsurprising given the vast amounts of PII and health data – from medical records to Social Security numbers – they hold on doctors, staff, and patients.

Cybersecurity firm Check Point in a report said the number of cyberattacks around the world jumped 38 percent year-over-year in 2022 and that healthcare, education and research, and government were the top three targeted sectors

Source: US House reps, staff health data stolen in cyberattack • The Register