Thursday, September 04, 2025

 

Claims on baby food fail to stack up


Baby and toddler foods often feature misleading claims aimed at convincing parents the products are a healthy choice, new research shows.



University of Auckland




From images of fruit to claims of being ‘sugar-free’, baby foods often feature misleading claims aimed at convincing parents the products are a healthy choice, new research shows.

The study led by the University of Auckland, reviewed packaging of more than 200 processed foods for infants and toddlers and found all featured marketing and nutrition claims, which didn’t necessarily stack up when they examined the ingredients. See Nutrition and Dietetics.

“These little packages are cluttered with messages about why you should buy them,” says 'Dr Sally Mackay, a senior lecturer in population nutrition in the Faculty of Medical and Health Sciences' . “There are so many messages that it’s hard for carers to know what is useful and what is not”.

The average number of claims per package was 7.5, ranging from three to 15. They were mainly ‘free from’ claims, for example, ‘free from additives’, and marketing claims, e.g., ‘for growing kids on the go’.

“This is an overwhelmingly high number of claims. They don’t only try to convince parents these products are a healthy choice, they also try to convey that they are an easy and convenient option that promotes the child’s development,” says Dr Berit Follong, a postdoctoral fellow in the Faculty of Medical and Health Sciences at the University of Auckland.

The researchers found that 60 percent* of packaged infant and toddler foods had images of fruit and 40 percent had pictures of vegetables, but many had very small amounts of those products in them. For example, a snack food with ‘purple carrot’ in its name contained a miniscule quantity of purple carrot juice and no actual vegetable.

The study didn't look at infant formula.

While three out of five New Zealand infant and toddler foods featured images of fruit on their packaging, most of these contained processed fruit sugars, while one in five contained less than five percent fruit.

“Our findings are important because it’s vital parents have accurate information, so they can make informed choices,” Mackay says.

Follong says product names can mislead about the nutrient content, too.

In more than half of savoury meals, the name did not reflect the descending order of their contents.

“If meat is stated as the first component of the product name, this implies the product is high in iron and protein but often it is low. For example, a product called ‘Organic Beef and Vege Ragout’ contains only ten percent beef and vegetables are the main ingredient,” Follong says.

In Australia, recent research found only about a quarter of packaged baby and toddler foods met WHO nutritional guidelines. Nonetheless, they featured claims trying to tell carers the foods were a healthy choice.

Food Standards Australia New Zealand is currently considering regulation of these claims, which the researchers support.

“We think these claims are misleading parents who want to do the best for their children,” Mackay says.

They would like to see claims banned on baby and toddler packaged foods and instead only simple, accurate nutritional information to be displayed.

Research has shown visual imagery of fruit or vegetables on children’s snack food products enhance carers’ perceptions of the healthiness of those foods.

“To avoid misleading carers, it is important that food companies’ use of this marketing technique on baby and toddler foods is restricted to instances where whole fruits and vegetables form a substantial part of the product,” the authors say.

 

AI model reveals hidden earthquake swarms and faults in Italy’s Campi Flegrei



Stanford University
Seismicity map with landmarks 

image: 

This image shows earthquakes that occurred in the Pozzuoli-Campi Flegrei region about 7 miles west of central Naples from 2022 to 2025 overlaid on Google Earth satellite imagery.

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Credit: Xing Tan





Scientists are using artificial intelligence to understand escalating unrest in Italy’s Campi Flegrei, a volcanic area that is home to hundreds of thousands of people.

Like adjusting a camera lens so a blurry image becomes clear, the new approach makes it possible for researchers to identify earthquakes that previous tools could not pick out from massive sets of seismic monitoring data. 

The research, a collaboration between Stanford University, Italy’s National Institute of Geophysics and Volcanology (INGV) - Osservatorio Vesuviano, and the University of Naples Federico II, reveals four times as many earthquakes than earlier tools had detected and pinpoints previously unknown faults. 

Knowing the location and length of a fault – the space between two blocks of rock that move and cause earthquakes – can help researchers determine the range of magnitudes of future quakes. This information is critical for informing residents and city planners of potential risks and mitigation options. 

The study, published in Science on Sept. 4, uses an AI model created at Stanford to provide precise earthquake location and magnitude information in near real time. According to the researchers, the promising results in Campi Flegrei suggest the system could be adapted to improve understanding of other areas with seismic monitoring systems, such as Santorini, Greece, which experienced a prolonged earthquake swarm at the beginning of the year. Rapidly pinpointing an earthquake’s source during sudden, intense seismic activity is critical for an effective emergency response.

“Seismicity could change at any time, and that may be the most important thing about this study: this capability of getting a clear view is now operational,” said study co-author Greg Beroza, a geophysics professor in the Stanford Doerr School of Sustainability. “INGV is now running the tool by themselves as needed, so it should be helpful for scientific response and ultimately public response if something changes.”

A history of unrest

Campi Flegrei is an active volcano located within the densely populated Neapolitan area. This volcanic region, which is home to more than 500,000 people, has experienced episodes of unrest dating back to the late 1950s. The last period of unrest started in 2005, with a significant increase of the seismicity in 2018, including five earthquakes above a magnitude 4 in the first eight months of 2025. The new research expands the seismicity recorded by monitoring stations from 2022 to 2025 from about 12,000 to more than 54,000 earthquakes. 

The data revealed two faults converging under the town of Pozzuoli west of Naples, which has been continuously monitored since the early 1980s, when unrest caused the land to rise more than 6 feet and more than 16,000 earthquakes prompted evacuation of 40,000 residents. 

“These long faults suggest that an earthquake in the magnitude 5 range is not out of the question,” said study co-author Bill Ellsworth, who co-directs the Stanford Center for Induced and Triggered Seismicity. “We’ve known that this is a risky place for a long time, since the ’80s when part of the city was evacuated, and now we’re seeing for the first time the geologic structures that are responsible.”

The stakes are high for understanding the complex natural system of Campi Flegrei, which in the past 40,000 years has produced two of the largest eruptions in Europe. However, because of the potential to endanger people and damage buildings and infrastructure, “one of the biggest concerns in the short term in Campi Flegrei is not an eruption, but a moderate earthquake at shallow depth,” Beroza said. 

Under pressure

Campi Flegrei is an 8-mile-wide caldera, a massive depression formed by major volcanic eruptions about 39,000 and 15,000 years ago. In addition to eruptions, the caldera experiences uplift and subsidence – rising and sinking of the land called bradyseism.  

“Previously, the structure of seismicity in the caldera was indistinct, and now we’ve seen a very thin and well-marked ring fault that is consistent with the surface features, especially offshore, and also with the area that’s being uplifted,” Beroza said. 

“Our Italian colleagues were surprised to see the ring so clearly,” added lead study author Xing Tan, a geophysics PhD student in Beroza’s lab. “They expected to see something in the south where previous data had revealed scattered seismicity, but in the north, they’d never seen it so clearly.” 

The research suggests overall inflation of the caldera is driving earthquake activity through pressure. The study authors did not observe any evidence for the upward migration of magma, which reduces concern over the short term that the area will experience a magmatic eruption, according to the study.

This study was supported by the Dipartimental Project LOVE-CF, the Pianeta Dinamico project Nemesis, a Stanford University Doerr School of Sustainability Discovery Grant, the RETURN Extended Partnership, and the European Union Next-GenerationEU. 

This image shows earthquakes that occurred in the whole Campi Flegrei caldera about 7 miles west of central Naples from 2022 to 2025 overlaid on Google Earth satellite imagery.

Credit

Xing Tan

Students with overprotective parents are more vulnerable to anxiety during their transition to university, researchers find



Researchers focused on how first-year undergraduates handled stressors and compared students who had been subject to different parenting styles




McGill University





First-year undergraduates who grew up with overly cautious or controlling parents tend to experience increased anxiety when faced with stresses associated with the transition to university, researchers from McGill University and the University of California (Los Angeles) have found.

The researchers asked 240 first-year McGill students to fill out several questionnaires in the first six weeks of the fall semester. The questionnaires used well-established scales to measure the parenting style they were raised with, current anxiety symptoms and different types of stressors they encountered during the transition to university, including housing difficulties, personal loss or even life-threatening situations.

The team then looked at associations among those variables, focusing on how the relationship between exposure to stressors and current experiences of anxiety correlated with different parental behaviours.

“We found that students whose parents are very protective experience a stronger link between exposure to stressful events and feelings of anxiety,” explained Lidia Panier, the study’s lead author. Panier, a PhD student in the Department of Psychology, is a member of the Translational Research in Affect and Cognition (TRAC) Lab led by Professor Anna Weinberg, the study’s senior author and principal investigator.

While cautioning that their study model does not allow them to conclude that overprotective parenting causes anxiety in children, the researchers note that such a conclusion would be consistent with the existing body of research.

“Previous findings show that overprotective parenting leads to insecure attachment and poorer emotion regulation, both of which are linked to greater vulnerability to anxiety,” Panier said.

She said she believes overprotective parenting in childhood and adolescence may not be helpful in teaching kids how to adapt to stressful situations in the long term. At the same time, she noted that the overprotective parenting might in some cases be a response to a child's anxious behaviours: parents might develop watchful attitudes or controlling habits to protect a child who often appears fearful.

“These interpretations are not mutually exclusive,” explained Panier. “A bi-directional dynamic where child behaviours influence parenting, which then affects child development, is also well-supported in the literature.”

The researcher said she hopes that future studies can clarify these links, as well as explore ways to better support young adults experiencing anxiety, especially during key transitional periods.

“It would be interesting to see if these patterns can change over time, such as whether supportive peer relationships in university can help young adults become more resilient, even if they experienced overprotective parenting,” she said.

About the study

Parental overprotection moderates the association between recent stressor exposure and anxiety during the transition to university” by Lidia Panier et al. was published in Development and Psychopathology.

This research was supported by the Canada Research Chair in Clinical Neuroscience, the Canadian Institutes of Health Research (CIHR), the California Governor’s Office of Planning and Research/California Initiative to Advance Precision Medicine and the California Department of Health Care Services.

 

Robots learn to work together like a well-choreographed dance




University College London

RoboBallet in action 

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RoboBallet in action

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Credit: Google DeepMind/UCL





Scientists at UCL, Google DeepMind and Intrinsic have developed a powerful new AI algorithm that enables large sets of robotic arms to work together faster and smarter in busy industrial settings, potentially saving manufacturers hundreds of hours of planning time and unlocking new levels of flexibility and efficiency.

The system, called RoboBallet, has been designed to help teams of automated robots that work in shared, obstacle-filled spaces like assembly lines and factory floors, to plan their movements and tasks automatically – without colliding with each other or the surrounding environment.

This is a challenge that has long plagued manufacturers; the job is currently done manually by specially trained human programmers. It is a very tedious and error-prone process, that takes hundreds of hours for each set of tasks.

As described in a research paper in Science Robotics, RoboBallet trains a graph neural network-based robot brain using reinforcement learning (RL). In a RL framework, the robot brain learns by trial and error and is given a ‘reward’ when tasks are completed, with higher rewards for having completed them faster.  

The graph neural network is a neural network architecture that works natively with data in a graph form. Its use enables robots to understand and reason about their surroundings (treating each obstacle like a point in a network – in an organised manner) so they can work out the most effective way to work together. Both graph neural networks and reinforcement learning are AI techniques. 

In the research, after just a few days of training, RoboBallet was able to generate high-quality plans in just seconds – even for complex layouts it had never seen before, solving up to 40 tasks with eight robotic arms - far beyond the capabilities of previous systems.

Lead author Matthew Lai, a PhD researcher at UCL Computer Science and Google DeepMind, said: “RoboBallet transforms industrial robotics into a choreographed dance, where each arm moves with precision, purpose, and awareness of its teammates. It’s not just about avoiding crashes; it’s about achieving harmony at scale.

“For the first time, we can automate complex multi-robot planning with the grace and speed of a dance, making factories more adaptive, efficient, and intelligent.”

RoboBallet is able to plan robot movements hundreds of times faster than real-time. Researchers say this could allow factories to adapt instantly if a robot fails or if the layout changes. RobotBallet also enables layout optimisation, helping manufacturers decide where to place robots for maximum efficiency and throughput.

Researchers say the system’s scalability is a major breakthrough. Traditional planning algorithms struggle to handle more than a few robots due to the exponential growth in complexity. RoboBallet’s graph-based architecture allows it to learn general principles of coordination, rather than memorising specific scenarios, making it suitable for large-scale industrial use.

Co-author Associate Professor Alex Li from UCL Computer Science said: “In today’s factories, coordinating multiple robotic arms is like solving a moving 3D puzzle, every action must be perfectly timed and placed to avoid collisions. Right now, this planning takes specialists hundreds of hours and is costly to design manually.

“The name, RoboBallet, captures the elegance and what we can do with so many robots. Just as ballet dancers move in perfect harmony with each other, our robots can now coordinate their movements with a superhuman level of precision and grace – RoboBallet could instantly generate plans for brand-new layouts at large scales and speeds that are impossible for specialists to handcraft.”

What can this be used for?

As manufacturing continues to evolve toward more flexible and adaptive production, this technology could be used in car manufacturing, as well as electronics assembly or even building houses with robots. It’s especially useful in places where robots need to work closely together without getting in each other’s way.

What’s next?

While the current RoboBallet version focuses on reaching tasks, where a robot moves its arm to a specific point for tasks such as welding, researchers say it could be extended to more complex operations like pick-and-place, or painting. The researchers also envision future versions that handle task dependencies, heterogeneous robot teams, and more sophisticated obstacle geometries.

Limitations

The team acknowledges that RoboBallet doesn’t yet handle every possible factory scenario. For example, it doesn’t currently account for tasks that must be done in a specific order, or robots with different capabilities. But they believe these features can be added in future versions, and the system’s flexible architecture makes it well-suited to such enhancements.

The work was funded by Google DeepMind and Intrinsic, and the codebase has been open-sourced, allowing other researchers to continue building on it and accelerating the entire field forward.

The team has produced a video to explain their work and RoboBallet: here:  https://www.youtube.com/watch?v=uqw7hTlk_BQ

 

Fighting extinction, coral reefs show signs of adapting to warming seas


Resilient coral growth predicted to decrease over next 3 decades, study finds



Ohio State University





COLUMBUS, Ohio – As coral reefs decline at unprecedented rates, new research has revealed that some coral species may be more resilient to warming temperatures than others. 

By studying how six months of elevated ocean temperatures would affect a species of coral from the northern Red Sea called Stylophora pistillata, scientists found that although these organisms can certainly survive in conditions that mimic future warming trends, they don’t thrive.

Stylophora pistillata tend to be tolerant of high ocean temperatures, but when continuously exposed to temperatures of 27.5 and 30 degrees Celsius (81.5 and 86 degrees Fahrenheit) — baseline warming expected in tropical oceans by 2050 and 2100 — scientists saw various changes in coral growth, metabolic rates, and even energy reserves. For instance, coral in 27.5 degrees Celsius waters survived, but were 30% smaller than their control group; those placed in 30 degrees Celsius waters wound up being 70% smaller. 

“In theory, if corals in the wild at these temperatures are smaller, reefs might not be as diverse and may not be able to support as much marine life,” said Ann Marie Hulver, lead author of the study and a former graduate student and postdoctoral scholar in earth sciences at The Ohio State University. “This could have adverse effects on people that depend on the reef for tourism, fishing or food.”

Overall, the team’s results suggest that even the most thermally tolerant coral species may suffer in their inability to overcome the consequences of warming seas. 

The study was published today in the journal Science of the Total Environment.

While current predictions for coral reefs are dire, there is some good news. During the first 11 weeks of the experiment, researchers saw that corals were only minimally affected by elevated baseline temperatures. Instead, it was the cumulative impact of chronic high temperatures that compromised coral growth and caused them to experience a higher metabolic demand. 

The coral later recovered after being exposed for a month to 25 degree Celsius waters, but had a dark pigmentation compared to corals that were never heated. This discovery implies that despite facing ever longer periods of threat from high ocean temperatures in the summer months, resilient coral like S. pistillata can bounce back when waters cool in the winter, researchers say. 

Still, as ocean temperatures are expected to increase by 3 degrees Celsius by 2100, expecting coral reefs to predictably bend to projected climate models can be difficult, according to the researchers. 

This team’s research does paint a more detailed picture of how coral reefs may look and function in the next 50 years, said Andrea Grottoli, co-author of the study and a professor in earth sciences at Ohio State.

“Survival is certainly the No. 1 important thing for coral, but when they’re physiologically compromised, they can’t do that forever,” said Grottoli. “So there’s a limit to how long these resilient corals can cope with an ever increasing warming ocean.”

Gaining a more complex understanding of how warming waters can alter coral growth and feeding patterns may also better inform long-term conservation efforts, said Grottoli. 

“Conservation efforts could focus on areas where resilient coral are present and create protected sanctuaries so that there are some ecosystems that grow as high-probability-success reefs for the future,” she said. 

For now, all coral reefs are still in desperate need of protection, researchers note. To that end, Hulver imagines future work could be aimed at investigating the resilience of similar species of coral, including replicating this experiment to determine if sustained warming might cause trade-offs in other biological processes, such as reproduction. 

“For coral, six months is still a very small snapshot of their lives,” said Hulver. “We’ll have to keep on studying them.”

Other Ohio state co-authors include Shannon Dixon and Agustí Muñoz-Garcia as well as Éric Béraud and Christine Ferrier-Pagès from the Centre Scientifique de Monaco, and Aurélie Moya, Rachel Alderdice and Christian R Voolstra from the University of Konstanz. The study was supported by the National Science Foundation and the German Research Foundation. 

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Contact: Andrea Grottoli, Grottoli.1@osu.edu

Written by: Tatyana Woodall, Woodall.52@osu.edu