With funding from NASA, researchers from Villanova University have obtained a never-before-seen view of the central engine at the heart of our galaxy. Space.com reports: The new map of this central region of the Milky Way, which took four years to assemble, reveals the relationship between magnetic fields at the heart of our galaxy and the cold dust structures that dwell there. This dust forms the building blocks of stars, planets, and, ultimately, life as we know it. The central engine of the Milky Way drives this process. That means a clearer picture of dust and magnetic interactions builds a better understanding of the Milky Way and our place within it. The team's findings also have implications beyond our galaxy, offering glimpses of how dust and magnetic fields interact in the central engines of other galaxies.

"The center of the Milky Way and most of the space between stars is filled with a lot of dust, and this is important for our galaxy's life cycle," David Chuss, research team leader and a physics professor at Villanova University, told Space.com. "What we looked at was light emitted from these cool dust grains produced by heavy elements forged in stars and dispersed when those stars die and explode." [...] Chuss and colleagues received funding from NASA to investigate this dusty central zone using the Stratospheric Observatory for Infrared Astronomy (SOFIA), which was a telescope that circled the globe at an altitude of 45,000 feet (13,716 meters) aboard a Boeing 747 plane. The project's Far-Infrared Polarimetric Large Area CMZ Exploration (FIREPLACE) created an infrared map that spans around 500 light-years across the center of the Milky Way over nine flights. Using measurements of the polarization of the radiation emitted from dust that is aligned with magnetic fields, the intricate structure of those magnetic fields themselves was inferred by the team. This was then overlaid onto a three-color map that shows warm dust with a pink hue and cool dust clouds in blue. The image also shows radio-wave-emitting filaments in yellow.

"This is a journey, not a destination, but what we've found is this is a very complicated thing. The directions of the magnetic field vary all across the clouds at the center of the Milky Way," Chuss explained. "This is the first step in trying to figure out how the field that we see in the radiowaves across these large organized filaments may relate to the rest of the dynamics of the center of the Milky Way." Chuss explained that this complicated picture of magnetic fields was something that he and the FIREPLACE team had expected to see with the new SOFIA map; the observations agreed with smaller-scale infrared and radio wave observations previously made of the heart of the Milky Way. Where this new map, however, really comes into its own is the sheer scale. It manages to reveal some never-before mapped regions. The fine detail woven into it is stunning as well. A preprint version of the SOFIA data is available on arXiv.

Jennifer Ouellette reports via Ars Technica: Astronomers have made new measurements of the Hubble Constant, a measure of how quickly the Universe is expanding, by combining data from the Hubble Space Telescope and the James Webb Space Telescope. Their results confirmed the accuracy of Hubble's earlier measurement of the constant's value, according to their recent paper published in The Astrophysical Journal Letters, with implications for a long-standing discrepancy in values obtained by different observational methods known as the "Hubble tension."

There was a time when scientists believed the Universe was static, but that changed with Albert Einstein's general theory of relativity. Alexander Friedmann published a set of equations showing that the Universe might actually be expanding in 1922, with Georges Lemaitre later making an independent derivation to arrive at that same conclusion. Edwin Hubble confirmed this expansion with observational data in 1929. Prior to this, Einstein had been trying to modify general relativity by adding a cosmological constant in order to get a static universe from his theory; after Hubble's discovery, legend has it, he referred to that effort as his biggest blunder. The article notes how scientists have employed different methods to calculate the Hubble Constant, including observing nearby celestial objects, analyzing gravitational waves from cosmic events, and examining the Cosmic Microwave Background (CMB). However, these approaches yield differing values, highlighting the challenge in pinning down the constant precisely. A recent effort involved making additional observations of Cepheid variable stars, correlating them with the Hubble data. The results further confirmed the accuracy of the Hubble data.

"We've now spanned the whole range of what Hubble observed, and we can rule out a measurement error as the cause of the Hubble Tension with very high confidence," said co-author and team leader Adam Riess, a physicist at Johns Hopkins University. "Combining Webb and Hubble gives us the best of both worlds. We find that the Hubble measurements remain reliable as we climb farther along the cosmic distance ladder. With measurement errors negated, what remains is the real and exciting possibility that we have misunderstood the Universe."

A washing-machine-sized satellite is to "name and shame" the worst methane polluters in the oil and gas industry. From a report: MethaneSat will provide the first near-comprehensive global view of leaks of the potent greenhouse gas from the oil and gas sector, and all of the data will be made public. It will provide high-resolution data over wider areas than existing satellites. Methane, also called natural gas, is responsible for 30% of the global heating driving the climate crisis. Leaks from the fossil fuel industry are a major source of human-caused emissions and stemming these is the fastest single way to curb temperature rises.

MethaneSat was developed by the Environmental Defense Fund, a US NGO, in partnership with the New Zealand Space Agency and cost $88m to build and launch. Earlier EDF measurements from planes show methane emissions were 60% higher than calculated estimates published by US authorities and elsewhere. More than 150 countries have signed a global methane pledge to cut their emissions of the gas by 30% from 2020 levels by 2030. Some oil and gas companies have made similar pledges, and new regulations to limit methane leaks are being worked on in the US, EU, Japan and South Korea.

The EDF's senior vice-president, Mark Brownstein, said: "MethaneSat is a tool for accountability . I'm sure many people think this could be used to name and shame companies who are poor emissions performers, and that's true. But [it] can [also] help document progress that leading companies are making in reducing their emissions." The oil and gas industry knows how to stop leaks and the cost of doing so is usually very modest, said Steven Hamburg, the EDF's chief scientist and MethaneSat project leader: "Some call it low hanging fruit. I like to call it fruit lying on the ground."

An anonymous reader quotes a report from The Guardian: New research suggests there's less oxygen on the icy surface of Jupiter's moon Europa than thought -- and that could affect what if any life might be lurking in Europa's underground ocean. Even with little or no oxygen, microbes might still be bustling around in the ocean believed to exist miles beneath Europa's frozen crust. As for what else, "who knows," said the Nasa scientist Kevin Hand, who was not involved in the study published on Monday in Nature Astronomy. More work is needed to confirm these findings, which are contrary to earlier telescope observations of condensed oxygen in Europa's ice, indicating a higher oxygen concentration, said Hand.

The new study is based on data collected by Nasa's Juno spacecraft during a particularly close flyby of Europa in 2022 -- a distance of just 219 miles (353km). A US-European team calculated that between 13 and 39lbs (6 and 18kg) of oxygen are produced every second at Europa's surface. Previous estimates had a much wider spread, with as much as 2,245 pounds (1,100 kilograms) of oxygen produced per second. So "unless Europa's oxygen production was significantly higher in the past," the new measurements provide "a narrower range to support habitability," the researchers wrote. This oxygen is formed, along with hydrogen, as Jupiter's radiation blasts Europa's global shell of frozen water. It is unknown how much oxygen escapes into the moon's atmosphere, how much remains in the ice and how much might find its way to the subterranean sea. The report notes that NASA plans to launch the Europa Clipper this fall. "The spacecraft will make dozens of close flybys of Europa -- nearly the size of our moon -- while orbiting the giant gas planet."

An anonymous reader shares a report: I hate cookbooks without pictures. We eat with our eyes first, as chefs love to say, but what's more important to me is that if I'm making a dish for the first time, I want to see what the final product should look like to know I did it right. It's not so much about presentation as it is about knowing that I browned the chicken skin enough. An image of a recipe will not be this useful, I think, if it was AI-generated, and especially so if the fact that the image was AI-generated wasn't disclosed by the recipe. That, to my surprise, is exactly the case with thousands of recipes the grocery delivery service Instacart is suggesting to its users. Some of the recipes include unheard of measurements and ingredients that don't appear to exist.

[...] As I was browsing, I noticed that Instacart was offering me recipes that appeared to complement the ingredients I was looking at. The concept doesn't make a ton of sense to me -- I'm going to Instacart for the ingredients I know I need for the food I know I'm going to make, not for food inspo -- but I had to click on a recipe for "Watermelon Popsicle with Chocolate Chips" because it looked weird in the thumbnail. Since I have eyeballs with optical nerves that are connected to a semi-functioning brain I can tell that the image was generated by AI. To be more specific, I can see that the top corner of the plate doesn't match its square shape, that the table-ish looking thing it's resting on is made up of jumbled slats (AI is particularly bad at making these series of long, straight lines), and then there are the titular watermelon popsicles, which defy physical reality. They clip into each other like bad 3D models in a video game, one of them to the left appears hollow, and for some reason they are skewered by what appears to be asparagus spears on the bottom end and capped by impossible small watermelon rinds at the top.

In a warning issued Wednesday, the FDA said it has not authorized or approved any smartwatch or smart ring to measure blood glucose levels. The use of these devices can lead to inaccurate measurements and errors in managing diabetes that can be life-threatening, the agency said. From a report: These unauthorized devices are different from smartwatch apps that display data from FDA-approved continuous glucose monitoring devices that pierce the skin. The FDA did not name specific brands but said the sellers of these unauthorized smartwatches and smart rings advertise using âoenon-invasive techniquesâ to measure blood glucose without requiring people to prick their fingers or pierce their skin. However, these devices do not directly test blood glucose levels, the agency said, urging consumers to avoid buying them for that purpose.

The agency also advised health care providers to discuss the risk of using unauthorized blood glucose measuring devices with their patients and to help them select an appropriate authorized device for their needs. âoeThe agency is working to ensure that manufacturers, distributors, and sellers do not illegally market unauthorized smartwatches or smart rings that claim to measure blood glucose levels,â the FDA said in the statement. âoeIf your medical care depends on accurate blood glucose measurements, talk to your health care provider about an appropriate FDA-authorized device for your needs." .

NASA's nearly $1 billion PACE mission launched atop a SpaceX Falcon 9 rocket early this morning, successfully making it to polar orbit -- a first for NASA since 1960. "When it's up and running, PACE will make key observations of Earth's atmosphere and climate and allow scientists to assess the health of our oceans like never before," notes Space.com. From the report: PACE, by the way, is the first U.S. government mission to launch to a polar orbit from Florida since Nov. 30, 1960. On that day, a Thor Able Star rocket took off on such a trajectory but failed, raining debris down on Cuba, some of which apparently killed a cow. Rather than risk further incidents, the U.S. decided to conduct all of its subsequent polar launches from Vandenberg Air Force Base (now Vandenberg Space Force Base) in California -- until now. That said, PACE wasn't the first mission of any type to launch to polar orbit from Florida's Space Coast in six decades: SpaceX had completed 11 such commercial missions before sending PACE on its way.

PACE's handlers will now work to get the 10.5-foot-long (3.2 meters) spacecraft and its various subsystems up to speed. After this checkout period, the satellite can begin its science work. That work will be done by three instruments. One of them, a spectrometer called the Ocean Color Instrument (OCI), will map out the ocean's many hues in great detail and an unprecedented range, from near-infrared wavelengths all way to the ultraviolet. These colors are determined by the interaction of sunlight with particles in seawater, such as the chlorophyll produced by photosynthetic plankton, the base of the marine food web. So OCI will reveal quite a bit about the health and status of ocean ecosystems, according to PACE team members.

"PACE's unprecedented spectral coverage will provide the first-ever global measurements designed to identify phytoplankton community composition," NASA officials wrote in a PACE mission description. "This will significantly improve our ability to understand Earth's changing marine ecosystems, manage natural resources such as fisheries and identify harmful algal blooms." The satellite's other two instruments are polarimeters. They'll measure how the oscillation of light in a plane, known as its polarization, is affected by passage through the ocean, clouds and aerosols (particles suspended in the atmosphere). "Measuring polarization states of UV-to-shortwave light at various angles provides detailed information on the atmosphere and ocean, such as particle size and composition," NASA officials wrote in the mission description.

Researchers have developed a way to apply quantum measurement to something no matter its mass or energy. "Our proposed experiment can test if an object is classical or quantum by seeing if an act of observation can lead to a change in its motion," says physicist Debarshi Das from UCL. ScienceAlert reports: Quantum physics describes a Universe where objects aren't defined by a single measurement, but as a range of possibilities. An electron can be spinning up and down, or have a high chance of existing in some areas more than others, for example. In theory, this isn't limited to tiny things. Your own body can in effect be described as having a very high probability of sitting in that chair and a very (very!) low probability of being on the Moon. There is just one fundamental truth to remember -- you touch it, you've bought it. Observing an object's quantum state, whether an electron, or a person sitting in a chair, requires interactions with a measuring system, forcing it to have a single measurement. There are ways to catch objects with their quantum pants still down, but they require keeping the object in a ground state -- super-cold, super-still, completely cut off from its environment. That's tricky to do with individual particles, and it gets a lot more challenging as the size of the scale goes up.

The new proposal uses an entirely novel approach, one that uses a combination of assertions known as Leggett-Garg Inequalities and No-Signaling in Time conditions. In effect, these two concepts describe a familiar Universe, where a person on a chair is sitting there even if the room is dark and you can't see them. Switching on the light won't suddenly reveal they're actually under the bed. Should an experiment find evidence that somehow conflicts with these assertions, we just might be catching a glimpse of quantum fuzziness on a larger scale.

The team proposes that objects can be observed as they oscillate on a pendulum, like a ball at the end of a piece of string. Light would then be flashed at the two halves of the experimental setup at different times -- counting as the observation -- and the results of the second flash would indicate if quantum behavior was happening, because the first flash would affect whatever was moving. We're still talking about a complex setup that would require some sophisticated equipment, and conditions akin to a ground state -- but through the use of motion and two measurements (light flashes), some of the restrictions on mass are removed. [...] "The next step is to try this proposed setup in an actual experiment," concludes the reports. "The mirrors at the Laser Interferometer Gravitational-Wave Observatory (LIGO) in the US have already been proposed as suitable candidates for examination."

"Those mirrors act as a single 10-kilogram (22-pound) object, quite a step up from the typical size of objects analyzed for quantum effects -- anything up to about a quintillionth of a gram."

The findings have been published in the journal Physical Review Letters.

Scientists have underestimated recent mass loss from Greenland by as much as 20%, finds a new study published in the journal Nature. CBS News reports: Since 1985, Greenland's ice sheet has lost approximately 5,091 square kilometers of ice researchers found using satellite imagery. Scientists said earlier estimates did not track melting at the edges of the ice sheets, known as calving, which measures ice breaking off at the terminus of a glacier. Greenland's ice sheet loses about 193 square kilometers of ice per year, researchers found. Study co-author Chad Greene and his colleagues said they qualified the extent of calving, which increased the scope of ice mass lost.

They combined "236,328 observations of glacier terminus positions" compiled from various public data sets to capture monthly ice melt. Their measurements found that between 1985 and 2022, almost every glacier in Greenland experienced some level of loss. [...] Researchers in the study noted that "this retreat does not appear to substantially contribute to sea level rise" because most of the glacier margins the scientists measured were already underwater. The loss, however, may play a part in ocean circulation patterns, and how heat energy is distributed across the planet.

An anonymous reader quotes a report from The Guardian: The stream through western Alaska never looked like this before. In aerial photography from the 1980s, it wove cleanly through the tundra, thin as thread. Today, in satellite images, it appears as a string of black patches: one large pond after another, dozens of meters apart. It's a transformation that is happening across the Arctic, the result of landscape engineering on an impressive scale. But this is no human endeavor to reshape the world. It is the work of the North American beaver, and there is no sign of it stopping. Were the waddling rodents making minor inroads, researchers may never have noticed. But the animals are pouring in, pushing north into new territories. The total number of animals is far from clear, but the ponds they create are hard to miss: in the Arctic tundra of Alaska alone, the number of beaver ponds on streams have doubled to at least 12,000 in the past 20 years. More lodges are dotted along lakes and river banks.

The preponderance of beavers, which can weigh as much as 45kg, follows a collapse in trapping and the warming of a landscape that once proved too bleak for occupation. Global heating has driven the shrubification of the Arctic tundra; the harsh winter is shorter, and there is more free-running water in the coldest months. Instead of felling trees for their dams, the beavers construct them from surrounding shrubs, creating deep ponds in which to build their lodges. The new arrivals cause plenty of disruption. For some communities, the rivers and streams are the roads of the landscape, and the dams make effective roadblocks. As the structures multiply, more land is flooded and there can be less fresh water for drinking downstream. But there are other, less visible effects too. The animals are participants in a feedback loop: climate change opens the landscape to beavers, whose ponds drive further warming, which attracts even more paddle-tailed comrades. Physics suggested this would happen. Beaver ponds are new bodies of water that cover bare permafrost. Because the water is warm -- relatively speaking -- it thaws the hard ground, which duly releases methane, one of the most potent greenhouse gases.

Scientists now have evidence this is happening. Armed with high-resolution satellite imagery, Tape and his colleagues located beaver ponds in the lower Noatak River basin area of north-western Alaska. They then analyzed infrared images captured by Nasa planes flying over the region. Overlaying the two revealed a clear link between beaver ponds and methane hotspots that extended for tens of meters around the ponds. "The transformation of these streams is a positive feedback that is accelerating the effects of climate change, and that is what's concerning," says Tape. "They are accelerating it at every one of these points." Because the Nasa images give only a snapshot in time, the researchers will head out next year to measure methane on the ground. With more measurements, they hope to understand how the emissions vary with the age of beaver ponds: do ponds release a steady flow of methane, or does the release wane after a decade or two? "What's happening here is happening on a huge scale," says Ken Tape, an ecologist at the University of Alaska, Fairbanks, who is tracking the influx of beavers into the sparse northern landscape. "Our modeling work, which is in progress right now, shows that this entire area, the north slope of Alaska, will be colonized by beavers by 2100."

An anonymous reader quotes a report from The Register: Bruce Perens, one of the founders of the Open Source movement, is ready for what comes next: the Post-Open Source movement. "I've written papers about it, and I've tried to put together a prototype license," Perens explains in an interview with The Register. "Obviously, I need help from a lawyer. And then the next step is to go for grant money." Perens says there are several pressing problems that the open source community needs to address. "First of all, our licenses aren't working anymore," he said. "We've had enough time that businesses have found all of the loopholes and thus we need to do something new. The GPL is not acting the way the GPL should have done when one-third of all paid-for Linux systems are sold with a GPL circumvention. That's RHEL." RHEL stands for Red Hat Enterprise Linux, which in June, under IBM's ownership, stopped making its source code available as required under the GPL. Perens recently returned from a trip to China, where he was the keynote speaker at the Bench 2023 conference. In anticipation of his conversation with El Reg, he wrote up some thoughts on his visit and on the state of the open source software community. One of the matters that came to mind was Red Hat.

"They aren't really Red Hat any longer, they're IBM," Perens writes in the note he shared with The Register. "And of course they stopped distributing CentOS, and for a long time they've done something that I feel violates the GPL, and my defamation case was about another company doing the exact same thing: They tell you that if you are a RHEL customer, you can't disclose the GPL source for security patches that RHEL makes, because they won't allow you to be a customer any longer. IBM employees assert that they are still feeding patches to the upstream open source project, but of course they aren't required to do so. This has gone on for a long time, and only the fact that Red Hat made a public distribution of CentOS (essentially an unbranded version of RHEL) made it tolerable. Now IBM isn't doing that any longer. So I feel that IBM has gotten everything it wants from the open source developer community now, and we've received something of a middle finger from them. Obviously CentOS was important to companies as well, and they are running for the wings in adopting Rocky Linux. I could wish they went to a Debian derivative, but OK. But we have a number of straws on the Open Source camel's back. Will one break it?"

Another straw burdening the Open Source camel, Perens writes, "is that Open Source has completely failed to serve the common person. For the most part, if they use us at all they do so through a proprietary software company's systems, like Apple iOS or Google Android, both of which use Open Source for infrastructure but the apps are mostly proprietary. The common person doesn't know about Open Source, they don't know about the freedoms we promote which are increasingly in their interest. Indeed, Open Source is used today to surveil and even oppress them." Free Software, Perens explains, is now 50 years old and the first announcement of Open Source occurred 30 years ago. "Isn't it time for us to take a look at what we've been doing, and see if we can do better? Well, yes, but we need to preserve Open Source at the same time. Open Source will continue to exist and provide the same rules and paradigm, and the thing that comes after Open Source should be called something else and should never try to pass itself off as Open Source. So far, I call it Post-Open." Post-Open, as he describes it, is a bit more involved than Open Source. It would define the corporate relationship with developers to ensure companies paid a fair amount for the benefits they receive. It would remain free for individuals and non-profit, and would entail just one license. He imagines a simple yearly compliance process that gets companies all the rights they need to use Post-Open software. And they'd fund developers who would be encouraged to write software that's usable by the common person, as opposed to technical experts.

Pointing to popular applications from Apple, Google, and Microsoft, Perens says: "A lot of the software is oriented toward the customer being the product -- they're certainly surveilled a great deal, and in some cases are actually abused. So it's a good time for open source to actually do stuff for normal people." The reason that doesn't often happen today, says Perens, is that open source developers tend to write code for themselves and those who are similarly adept with technology. The way to avoid that, he argues, is to pay developers, so they have support to take the time to make user-friendly applications. Companies, he suggests, would foot the bill, which could be apportioned to contributing developers using the sort of software that instruments GitHub and shows who contributes what to which products. Merico, he says, is a company that provides such software. Perens acknowledges that a lot of stumbling blocks need to be overcome, like finding an acceptable entity to handle the measurements and distribution of funds. What's more, the financial arrangements have to appeal to enough developers. "And all of this has to be transparent and adjustable enough that it doesn't fork 100 different ways," he muses. "So, you know, that's one of my big questions. Can this really happen?" Perens believes that the General Public License (GPL) is insufficient for today's needs and advocates for enforceable contract terms. He also criticizes non-Open Source licenses, particularly the Commons Clause, for misrepresenting and abusing the open-source brand.

As for AI, Perens views it as inherently plagiaristic and raises ethical concerns about compensating original content creators. He also weighs in on U.S.-China relations, calling for a more civil and cooperative approach to sharing technology.

You can read the full, wide-ranging interview here.

The police will be able to run facial recognition searches on a database containing images of Britain's 50 million driving licence holders under a law change being quietly introduced by the government. From a report: Should the police wish to put a name to an image collected on CCTV, or shared on social media, the legislation would provide them with the powers to search driving licence records for a match. The move, contained in a single clause in a new criminal justice bill, could put every driver in the country in a permanent police lineup, according to privacy campaigners.

Facial recognition searches match the biometric measurements of an identified photograph, such as that contained on driving licences, to those of an image picked up elsewhere. The intention to allow the police or the National Crime Agency (NCA) to exploit the UK's driving licence records is not explicitly referenced in the bill or in its explanatory notes, raising criticism from leading academics that the government is "sneaking it under the radar." Once the criminal justice bill is enacted, the home secretary, James Cleverly, must establish "driver information regulations" to enable the searches, but he will need only to consult police bodies, according to the bill.

Scientists are exploring infrasound, low-frequency sound waves produced by tornadoes to develop more accurate early warning systems for these destructive storms. The hope is that eavesdropping on infrasound signals, which travel for hundreds of miles, could provide up to two hours of advance warning. The BBC reports: Scientists have been listening to tornadoes and trying to work out whether they produce a unique sound since the 1970s. Experimental evidence suggests that low-frequency infrasound, with a frequency range of 1-10Hz , is produced while a tornado is taking shape and throughout its life. One recent set of measurements from a tornado near Lakin, Kansas in May 2020 revealed that the twister produced a distinct, elevated signal between 10Hz and 15Hz. In some cases arrays of infrasound detecting microphones have been shown to pick up the noise produced by tornadoes from more than 100km (60 miles) away and have also indicated that the infrasound is produced before tornadogenesis even begins. Researchers hope that by eavesdropping on these noises, it may be possible to not only hear a tornado coming but perhaps even predict them up to two hours before they form.

Since 2020, a team from Oklahoma State University has been testing infrasound's predictive powers using equipment installed in tornado-chasing vehicles. Their portable kit, the Ground-based Local Infrasound Data Acquisition, or "Glinda", system, references a character from The Wizard of Oz. They hope the equipment will help storm chasers to better monitor the development of tornadoes in real time, but requires the equipment to be deployed to the right place at the right time. Some researchers, however, are working on systems that can be left to permanently monitor for tornadoes. One group, led by Roger Waxler, principal scientist at the National Centre for Physical Acoustics (NCPA) based at the University of Mississippi, are planning to deploy four permanent arrays of high-tech sensors in south Mississippi to detect infrasound signals. They hope the system will provide a way of consistently monitoring and detecting tornadoes.

[...] Waxler and his team hope their decade-long experiment will lead to an effective early warning system for tornadoes, particularly when combined with other sources such as doppler radar. "It's not unreasonable that we could localize a tornado to half a football field," adds Waxler. "I envision seeing a map on an app with a dot that shows there's a tornado coming up South Lamar [Avenue, for example]." Warnings have improved in recent decades: from 2003 to 2017, 87% of deadly tornadoes were preceded by an advance warning, but people still have an average of just 10-15 minutes to find shelter. A study based on interviews with 23 survivors of two deadly tornadoes found that people tried to evaluate and respond to the risk of a tornado as the situation evolved, but some did not have a place to shelter easily. Experts believe tornado warnings are too often ignored due to "warning fatigue" created by false alarms and hours of televised storm coverage. One study found 37% of people surveyed did not understand the need for taking precautionary measures during a tornado warning. Waxler hopes that a more accurate early warning system could change the way people respond when they hear a storm is approaching. "Rather than going to hide in your bathtub or cellar, it might be a better idea to get in your car and drive if you know where a tornado is. "The goal is to save lives."

Scientists have proposed a framework that they say could unify quantum mechanics and Albert Einstein's theory of general relatively. "Quantum theory and Einstein's theory of general relativity are mathematically incompatible with each other, so it's important to understand how this contradiction is resolved," said Prof Jonathan Oppenheim, a physicist at University College London, who is behind the theory. The Guardian reports: Until now, the prevailing assumption has been that Einstein's theory of gravity must be modified, or "quantized," in order to fit within quantum theory. This is the approach of string theory, which advances the view that spacetime comprises 10, 11 or possibly 26 dimensions. Another leading candidate, advanced by Rovelli and others, is loop quantum gravity, in which spacetime is composed of finite loops woven into an extremely fine fabric. Oppenheim's theory, published in the journal Physical Review X, challenges the consensus by suggesting that spacetime may be classical and not governed by quantum theory at all. This means spacetime, however closely you zoomed in on it, would be smooth and continuous rather than "quantized" into discrete units. However, Oppenheim introduces the idea that spacetime is also inherently wobbly, subject to random fluctuations that create an intrinsic breakdown in predictability.

"The rate at which time flows is changing randomly and fluctuating in time," said Oppenheim, although he clarifies that time would never actually go into reverse. "It's quite mathematical," he added. "Picturing it in your head is quite difficult." This proposed "wobbliness" would result in a breakdown of predictability, which, Oppenheim says, "many physicists don't like." [...]

Ultimately, whether the theory is correct is not an aesthetic preference, but a question of whether it is a faithful representation of reality. A second paper, published simultaneously in Nature Communications and led by Dr Zach Weller-Davies, formerly of UCL and now at Canada's Perimeter Institute, proposes an experiment designed to uncover "wobbles" in spacetime through tiny fluctuations in the weight of an object. For example, the International Bureau of Weights and Measures in France routinely weigh a 1kg mass, which used to be the 1kg standard. If the fluctuations in measurements of this 1kg mass are smaller than a certain threshold, the theory can be ruled out. "We have shown that if spacetime doesn't have a quantum nature, then there must be random fluctuations in the curvature of spacetime which have a particular signature that can be verified experimentally," said Weller-Davies.

AI models can find patterns and make predictions, but their reasoning is often inscrutable. This "black box" issue makes AI less reliable and less scientifically useful. However, a team led by Dion Hafner (a computer scientist at the University of Copenhagen) devised a clever neural network to predict rogue waves. By restricting inputs to meaningful wave measurements and tracing how they flowed through the network, the team extracted a simple five-part equation encapsulating the AI's logic. Economist adds: To generate a human-comprehensible equation, the researchers used a method inspired by natural selection in biology. They told a separate algorithm to come up with a slew of different equations using those five variables, with the aim of matching the neural network's output as closely as possible. The best equations were mixed and combined, and the process was repeated. The result, eventually, was an equation that was simple and almost as accurate as the neural network. Both predicted rogue waves better than existing models.

The first part of the equation rediscovered a bit of existing theory: it is an approximation of a well-known equation in wave dynamics. Other parts included some terms that the researchers suspected might be involved in rogue-wave formation but are not in standard models. There were some puzzlers, too: the final bit of the equation includes a term that is inversely proportional to how spread out the energy of the waves is. Current human theories include a second variable that the machine did not replicate. One explanation is that the network was not trained on a wide enough selection of examples. Another is that the machine is right, and the second variable is not actually necessary.

Researchers have used the technology behind the AI chatbot ChatGPT to create a fake clinical-trial data set to support an unverified scientific claim. From a report: In a paper published in JAMA Ophthalmology on 9 November, the authors used GPT-4 -- the latest version of the large language model on which ChatGPT runs -- paired with Advanced Data Analysis (ADA), a model that incorporates the programming language Python and can perform statistical analysis and create data visualizations. The AI-generated data compared the outcomes of two surgical procedures and indicated -- wrongly -- that one treatment is better than the other.

"Our aim was to highlight that, in a few minutes, you can create a data set that is not supported by real original data, and it is also opposite or in the other direction compared to the evidence that are available," says study co-author Giuseppe Giannaccare, an eye surgeon at the University of Cagliari in Italy. The ability of AI to fabricate convincing data adds to concern among researchers and journal editors about research integrity. "It was one thing that generative AI could be used to generate texts that would not be detectable using plagiarism software, but the capacity to create fake but realistic data sets is a next level of worry," says Elisabeth Bik, a microbiologist and independent research-integrity consultant in San Francisco, California. "It will make it very easy for any researcher or group of researchers to create fake measurements on non-existent patients, fake answers to questionnaires or to generate a large data set on animal experiments."

Nature has retracted a controversial paper claiming the discovery of a superconductor -- a material that carries electrical currents with zero resistance -- capable of operating at room temperature and relatively low pressure. From a report: The text of the retraction notice states that it was requested by eight co-authors. "They have expressed the view as researchers who contributed to the work that the published paper does not accurately reflect the provenance of the investigated materials, the experimental measurements undertaken and the data-processing protocols applied," it says, adding that these co-authors "have concluded that these issues undermine the integrity of the published paper."

It is the third high-profile retraction of a paper by the two lead authors, physicists Ranga Dias at the University of Rochester in New York and Ashkan Salamat at the University of Nevada, Las Vegas (UNLV). Nature withdrew a separate paper last year and Physical Review Letters retracted one this August. It spells more trouble in particular for Dias, whom some researchers allege plagiarized portions of his PhD thesis. Dias has objected to the first two retractions and not responded regarding the latest. Salamat approved the two this year. "It is at this point hardly surprising that the team of Dias and Salamat has a third high-profile paper being retracted," says Paul Canfield, a physicist at Iowa State University in Ames and at Ames National Laboratory. Many physicists had seen the Nature retraction as inevitable after the other two -- and especially since The Wall Street Journal and Science reported in September that 8 of the 11 authors of the paper -- including Salamat -- had requested it in a letter to the journal.

An anonymous reader quotes a report from NPR: Peru's Kimberly Garcia set a world record in her gold-medal winning turn at the women's 20 kilometer race walk event at the Pan American Games this weekend. Until she didn't. Once the race was over, organizers determined there was a serious "measuring problem" with the track, making the race times of Garcia, fellow medal winners Glenda Morejon of Ecuador and Peru's Evelyn Inga, and their competitors null and void. The athletes guessed the track had been drawn up roughly 3 kilometers (about 1.9 miles) shorter than it was supposed to be. Garcia crossed the finish line in 1 hour, 12 minutes and 26 seconds. The world record of 1 hour, 23 minutes and 49 seconds is held by China's Jiayu Yang. The athletes suspected something was amiss mid-race, according to the Associated Press.

The Santiago 2023 Corporation, the group in charge of the 2023 Pan American Games, placed the blame on the Pan American Athletics Association, which reportedly chose the person who measured the race course. In a statement following the race, Santiago 2023 said the official who measured the course "did not take accurate measurements of the route the athletes took during the race." The group continued, "We deeply regret the inconvenience for the athletes, their coaches, the public and the attending press, but this situation cannot be attributed to the Organizing Committee."

Wikipedia defines LIGO as "a large-scale physics experiment and observatory designed to detect cosmic gravitational waves." (It stands for Laser Interferometer Gravitational-Wave Observatory — that is, measuring the interference caused by superimposed waves.)

Now Science Alert reports: A technique for squeezing light in the arms of LIGO's interferometer has allowed its measurements to cross the quantum barrier.

For LIGO, it's a bold new realm of sensitivity, giving the gravitational wave detector the ability to find 60% more dead star mergers than the rate of its previous run, which was around one or two detections every week or so... "Now that we have surpassed this quantum limit, we can do a lot more astronomy," says physicist Lee McCuller of Caltech...

LIGO's sensitivity was already absolutely jaw-dropping. The interferometer works by detecting ripples in space-time that are generated by colliding black holes and neutron stars, millions of billions to light-years away. These cause gravitational waves, like ripples in a pond. We can't feel them; but they can be detected in miniscule deviations in the path of light down a long, long tunnel. These deviations are incredibly small, down to trillions of times smaller than a human hair. But once you get into subatomic scales — the quantum realm — LIGO's abilities are hobbled. That's because, on those unimaginably small scales, particles randomly pop in and out of space, creating a constant background hiss of quantum noise that's louder than any signal.

Frequency-dependent squeezing is a way of amplifying the signals to be 'louder' than the quantum noise... If you pinch a property of light, such as amplitude (or power), other properties, such as frequency, can be measured more accurately... [T]he light can be squeezed in multiple ways to amplify the frequency of the gravitational waves the scientists are looking for... "We've known for a while how to write down the equations to make this work, but it was not clear that we could actually make it work until now. It's like science fiction," says physicist Rana Adhikari of Caltech...

This means we're likely to see a significant uptick in the number of black hole and neutron star collisions we observe out there in the wider Universe.

Abner Li reports via 9to5Google: Google today detailed its research into audioplethysmography (APG) that adds heart rate sensing capabilities to active noise canceling (ANC) headphones and earbuds "with a simple software upgrade." Google says the "ear canal [is] an ideal location for health sensing" given that the deep ear artery "forms an intricate network of smaller vessels that extensively permeate the auditory canal."

This audioplethysmography approach works by "sending a low intensity ultrasound probing signal through an ANC headphone's speakers. This signal triggers echoes, which are received via on-board feedback microphones. We observe that the tiny ear canal skin displacement and heartbeat vibrations modulate these ultrasound echoes." A model that Google created works to process that feedback into a heart rate reading, as well as heart rate variability (HRV) measurement. This technique works even with music playing and "bad earbuds seals." However, it was impacted by body motion, and Google countered with a multi-tone approach that serves as a calibration tool to "find the best frequency that measures heart rate, and use only the best frequency to get high-quality pulse waveform."

Google performed two sets of studies with 153 people that found APG "achieves consistently accurate heart rate (3.21% median error across participants in all activity scenarios) and heart rate variability (2.70% median error in inter-beat interval) measurements." Compared to existing HR sensors, it's not impacted by skin tones. Ear canal size and "sub-optimal seal conditions" also do not impact accuracy. Google believes this is a better approach than putting traditional photoplethysmograms (PPG) and electrocardiograms (ECG) sensors, as well as a microcontroller, in headphones/earbuds: "this sensor mounting paradigm inevitably adds cost, weight, power consumption, acoustic design complexity, and form factor challenges to hearables, constituting a strong barrier to its wide adoption."