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Researchers demonstrate an active-fluid system whose behaviors map directly to predictions of the six-vertex model—an exactly solvable model that was originally developed to explain the behavior of ice.

Active fluids—collections of self-propelled agents such as bacteria, cells, or colloids—consume energy to move, flowing without being pushed [1]. These materials break the conventional rules of fluid dynamics, as they can flow spontaneously, switch direction without apparent cause, and organize into complex patterns with no external control. Active fluids were initially studied to understand the collective dynamics observed in biological systems. Now they offer a rich playground for exploring nonequilibrium physics. Yet, in the ever-expanding universe of active-fluid physics, it is rare to find an experimental system that maps precisely onto a mathematically exact model.

Among the most enduring designs for a fusion reactor is the tokamak, which uses a doughnut-shaped magnetic field to trap burning plasma. But some of the plasma still interacts with the reactor wall, which can cause severe damage. Now, on one of the key European tokamak experiments, Kenneth Lee of the Swiss Federal Institute of Technology in Lausanne (EPFL) and his collaborators have demonstrated a new and potentially efficient way to shed excess heat [1].

The experiment was conducted at the Variable Configuration Tokamak (TCV) on the EPFL campus. Like other modern tokamaks, TCV hosts a so-called X-point: The cross-section of the doughnut’s outer magnetic field features a point at the bottom where the field lines cross, creating an opening for reaction by-products to drain away through a narrow magnetic funnel called a divertor. In 2015, researchers at a tokamak in Germany discovered that plasma at the X-point radiates strongly, thereby removing potentially troublesome thermal energy.

The EPFL team realized they could boost the useful, heat-removing radiation by reconfiguring the confinement field to include a second X-point along the divertor funnel. Experiments at the TCV vindicated this concept, which they call the X-point target radiator (XPTR). What’s more, conditions for filling the XPTR with plasma turned out to be easy to achieve and control. Lee points out that the XPTR concept could be implemented at SPARC, a next-generation tokamak reactor being developed by Commonwealth Fusion Systems, Massachusetts, in collaboration with MIT.

Social media use is ubiquitous in our modern society, and some individuals display excessive, maladaptive use of these online platforms. This problematic social media use (PSMU) has been associated with greater impulsivity and risk-taking. Importantly, studies in healthy individuals have demonstrated that greater cognitive impulsivity is associated with a greater susceptibility to online “fake news.” Therefore, we hypothesized that PSMU would be associated with believing in and engaging with fake news. To address this, we conducted an online, within-subject experiment in which participants (N=189; female=102, male=86, prefer not to disclose=1; mean age=19.8 years) completed a fake news task. This task presented participants with 20 news stories (10 real and 10 false, in random order) formatted as social media posts. We assessed participants’ credibility judgments of these news posts, as well as participants’ intentions to click, like, comment, and share these posts. We also assessed participants’ degree of PSMU and then related this measure to their performance in our task. We conducted a repeated measures analysis of variance (ANOVA) with a mixed model approach, and it revealed that the greater one’s PSMU, the more one finds specifically false news credible. We also found that the greater one’s PSMU, the greater one’s engagement with news posts, agnostic to the type of content (real or false). Finally, we found that the greater one’s PSMU, the greater one’s intent to click on specifically false news. Our research demonstrates that individuals who experience the most distress and impairment in daily functioning from social media use are also the most susceptible to false information posted on social media. We discuss the clinical implications of our findings.

Citation: Meshi D, Molina MD (2025) Problematic social media use is associated with believing in and engaging with fake news. PLoS ONE 20: e0321361. https://doi.org/10.1371/journal.pone.

Editor: Stefano Cresci„ National Research Council (CNR), ITALY

Imagine you are playing the guitar—each pluck of a string creates a sound wave that vibrates and interacts with other waves. Now shrink that idea down to a small single molecule, and instead of sound waves, picture vibrations that carry heat.

A team of engineers and at the Paul M. Rady Department of Mechanical Engineering at CU Boulder has recently discovered that these tiny thermal vibrations, otherwise known as phonons, can interfere with each other just like musical notes—either amplifying or canceling each other, depending on how a molecule is “strung” together.

The research is published in the journal Nature Materials.

The use of light signals to connect electronic components is a key element of today’s data communication technologies, because of the speed and efficiency that only optical devices can guarantee. Photonic integrated circuits, which use photons instead of electrons to encode and transmit information, are found in many computing technologies. Most are currently based on silicon—a good solution because it is already used for electronic circuits, but with a limited bandwidth.

An excellent alternative is tetragonal barium titanate (BTO), a ferroelectric perovskite that can be grown on top of silicon and has much better optoelectronic properties. But since this material is quite new in the field of applied optoelectronics, a better comprehension of its quantum properties is needed in order to further optimize it.

A new study by MARVEL scientists published in Physical Review B presents a new computational framework to simulate the optoelectronic behavior of this material, and potentially of other promising ones.

Astronomers are unraveling the mystery behind Ansky, a black hole system emitting powerful, repeating X-ray bursts called QPEs. These outbursts may result from a small object colliding with a gas disk, sending debris flying at near-light speeds. New Glimpse Into Mysterious X-Ray Outbursts For t

Astronomers using NASA’s IXPE satellite have finally cracked a cosmic mystery—how X-rays are produced in the energetic jets of supermassive black holes like the blazar BL Lacertae. The blazar BL Lacertae—a type of active galaxy powered by a supermassive black hole with bright, fast-moving jets ai

A global study estimates that exposure to the plastic additive DEHP caused over 356,000 heart disease deaths in 2018, with most deaths occurring in rapidly industrializing regions. A new analysis of global population data suggests that daily exposure to certain chemicals used in plastic household

Free-range atoms, roaming around without restrictions, have been captured on camera for the first time – enabling physicists to take a closer look at long predicted quantum phenomena.

It’s a bit like snapping a shot of a rare bird in your back garden, after a long time of only ever hearing reports of them in the area, and seeing the food in your bird feeder diminish each day. Instead of birdwatching, though, we’re talking about quantum physics.

The US researchers behind the breakthrough carefully constructed an “atom-resolved microscopy” camera system that first puts atoms in a contained cloud, where they roam freely. Then, laser light freezes the atoms in position to record them.

By Chuck Brooks.

Source: Forbes


Robotics is now revolutionizing numerous industry sectors through the integration of artificial intelligence, machine learning, and reinforcement learning, as well as advances in computer vision that empower robots to make complicated judgments.

Industrial automation in factories and warehouses has been the main emphasis of robotics for many years because of its efficiency and affordability. These settings are usually regulated, organized, and predictable. Consequently, industries like manufacturing, agriculture, warehouse operations, healthcare, and security have utilized robotics to automate mundane programmable tasks.

Robotics in those and many other industries are becoming more refined and capable with the contributions of new material sciences, and artificial intelligence tools. It now appears that with those advances, we are at the precipice of building functional, dexterous, and autonomous humanoid robots that were once the topic of futurist writing.