Toggle light / dark theme

Get the latest international news and world events from around the world.

Log in for authorized contributors

Microsoft: New Remote Desktop warnings may display incorrectly

Microsoft has confirmed a new issue causing newly introduced Windows security warnings to display incorrectly when opening Remote Desktop (.rdp) files.

This known issue impacts all supported Windows versions, including Windows 11 (KB5083768 & KB5083769), Windows 10 (KB5082200), and Windows Server (KB5082063).

As Microsoft explains in updates to the original advisories, “the security warning that appears when opening Remote Desktop (RDP) files might not display correctly in some cases.”

Video service Vimeo confirms Anodot breach exposed user data

Vimeo has disclosed that data belonging to some of its customers and users has been accessed without authorization following the recent breach at the Anodot data anomaly detection company.

The video platform says that the threat actor accessed email addresses for some of its customers, but most of the exposed information included technical data, video titles, and metadata.

“We have identified that, as a result of the Anodot breach, an unauthorized actor accessed certain Vimeo user and customer data. Our initial findings suggest that the databases accessed primarily contain technical data, video titles and metadata, and, in some cases, customer email addresses,” Vimeo states.

US reportedly charges Scattered Spider hacker arrested in Finland

A 19-year-old dual United States and Estonian citizen arrested in Finland earlier this month faces federal charges in the U.S. alleging he was a prolific member of the notorious Scattered Spider hacking collective.

According to temporarily unsealed court records obtained by the Chicago Tribune, the suspect (who used the online alias “Bouquet”) helped extort millions of dollars from multiple large corporations worldwide.

The suspected Scattered Spider member, who was allegedly arrested by Finnish law enforcement at Helsinki’s airport on April 10 while attempting to board a flight to Japan, is facing wire fraud, conspiracy, and computer intrusion charges.

Caveolin-1 deficiency Improved Glucose Metabolism via Modulation of β-cell Autophagy on High-Fat-Diet Mice

New in JBC press.


Lipotoxicity caused β-cell mass decrease and impaired β-cell function in type 2 diabetes mellitus (T2DM). We previously reported that caveolin-1 (Cav-1) deficiency protected pancreatic β cells against palmitate (PA)-induced apoptosis and dysfunction in both NIT-1 cells and isolated islets. In this study, we firstly established inducible β-cell-specific Cav-1 knockout (iβ-Cav1 KO) mice model. Next, we investigated whether Cav-1 depletion in vitro or in vivo affected β-cell function and survival through the regulation of autophagy under lipotoxicity.

A New Way to View Shockwaves Could Boost Fusion Research

At the heart of our sun, fusion is unfolding. As hydrogen atoms merge to form helium, they emit energy, producing the heat and light that reach us here on Earth. Inspired by our nearby star, researchers want to create fusion closer to home. If they can crack the engineering challenges underlying the process, they would create an abundant new source of power to eclipse all others.

One of those challenges is understanding what happens at the smallest scales during fusion reactions so that researchers can better control the process. In one of the two main kinds of fusion, inertial confinement fusion (ICF), researchers bombard a fuel-filled capsule with lasers to create shockwaves and heat and compress the target, kicking off fusion. That means lots of complex interactions that scientists haven’t been able to get a good look at — until now.

A team of researchers used a new approach at the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) to watch how a shockwave moved through water in extreme detail, making a never-before-seen movie of how the material compressed and how the electric and magnetic fields evolved. They were intrigued to discover that water provided a good analog for what happens when a laser strikes an ICF target. Scientists captured the process using both X-rays and an electron beam, a unique dual view known as “multi-messenger” imaging.

Firehorse superstition helps uncover why women’s education may not drive Japan’s fertility decline

The rapidly declining marriage and fertility rates across developed East Asian societies strain pension and health care systems, threaten economic growth, and reshape entire societies. To tackle this issue, governments in Japan and across East Asia have invested heavily in pronatalist measures, but often with limited success. For instance, Japan’s government has repeatedly expanded childcare subsidies and parental leave provisions, yet the total fertility rate hit a record low of 1.20 in 2024.

A common narrative in media commentary, policy circles, and even within families is that women are “too educated” or “too career-focused” to marry and have children. However, the exact causal relationship between women’s education level and family formation is not well understood.

To fill this knowledge gap, a team of researchers from Japan and Singapore, led by Associate Professor Rong Fu from the Faculty of Commerce, Waseda University, Japan, used a novel quasi-experimental approach to understand the relationship between education, fertility, and marriage in Japan.

Direct electrochemical appraisal of black coffee quality using cyclic voltammetry

Coffee flavor is primarily determined by the bean roast color and concentration of the beverage. Here, the authors show that both of these characteristics are reflected in the coffee’s cyclic voltammogram. This approach enables rapid determination of the strength and roast intensity of the coffee.

Predictive pursuit emerges in high-dimensional recurrent neural networks

Tracking dynamic moving objects in the external world is ethologically important for many organisms. Recent experiments have examined neural dynamics supporting such behaviors by employing visually-guided pursuit in freely moving rodents, yet computational principles underlying this cognitive process are not well understood. To address this, we developed a recurrent neural network model for examining the predictive behaviors and computations that emerge during pursuit. We demonstrate that the model generates internal predictions of the targets future locations, with anticipatory behaviors increasing with exposure to stereotyped trajectories of the target. These internal predictions can be used by the model to pursue a target in a complex environment, and the RNNs emergent strategy is aligned with behavior when tested in rodents. In investigating the computations that underlie the RNNs ability to perform predictive pursuit, we found units sensitive to the position of the target relative to the artificial agent, a representation analogous to egocentric target neurons observed in animals performing pursuit tasks. Ablating these units significantly reduced model performance, establishing a causal role of this functional response type in efficient pursuit. Given the complexity of the task and agent behavior, we hypothesized that RNN models may use high-dimensional neural codes to support predictive pursuit. To test this, we trained models of varying rank and found that anticipatory behavior emerged only when the rank was sufficiently high, despite strong pursuit performance in lower rank models. All RNNs encoded the egocentric location of the target, whereas allocentric self and target locations emerged only in high-dimensional networks. Overall, our results suggest that, unlike commonly studied vision, motor, or memory tasks, predictive pursuit emerges in high-dimensional networks with sufficient resources.

The authors have declared no competing interest.

The Thermodynamics of Mind

To not only survive, but also thrive, the brain must efficiently orchestrate distributed computation across space and time. This requires hierarchical organisation facilitating fast information transfer and processing at the lowest possible metabolic cost. Quantifying brain hierarchy is difficult but can be estimated from the asymmetry of information flow. Thermodynamics has successfully characterised hierarchy in many other complex systems. Here, we propose the ‘Thermodynamics of Mind’ framework as a natural way to quantify hierarchical brain orchestration and its underlying mechanisms. This has already provided novel insights into the orchestration of hierarchy in brain states including movie watching, where the hierarchy of the brain is flatter than during rest. Overall, this framework holds great promise for revealing the orchestration of cognition.

/* */