Rivers in the Sky, Arctic Warming, and What this Means for the Greenland Ice Sheet

Photo Credit: Beau Mori

 “Atmospheric rivers” are large-scale extreme weather systems that are making headlines more frequently. When viewed in satellite images, they appear just as described – like rivers in the sky. Though they are often reported in places like California, these weather systems have the potential to bring high heat and dump disastrous amounts of precipitation on areas throughout the mid and high latitudes.

A team of researchers, including UConn Department of Earth Sciences associate professor Clay Tabor and Ph.D. student Joseph Schnaubelt, looked at how atmospheric rivers impacted the Greenland Ice Sheet in the past to get a better understanding of how these weather systems may enhance melting in the Arctic as the climate continues to warm. Their results are published in AGU Advances.

An important question that paleoclimate scientists like Schnaubelt and Tabor are trying to answer is how the Arctic will respond to climate change, and for this they focused deep into the past on a time called the Last Interglacial, between 130,000 and 115,000 years ago.

“Earth goes through glacial cycles, and the Last Interglacial was the last time the Arctic was warmer than present day,” says Schnaubelt. “We know that that’s the direction we’re headed toward, and we wanted to see how atmospheric rivers impacted the Greenland Ice Sheet.”

New Diagnostic Tool Developed at Dana-Farber Revolutionizes Acute Leukemia Diagnosis

Volker Hovestadt, PhD
Assistant Professor, Pediatrics, Harvard Medical School Independent Investigator/Assistant Professor, Department of Pediatric Oncology, Dana-Farber Cancer Institute
Photo Credit: Courtesy of Dana-Farber Cancer Institute

Researchers at Dana-Farber Cancer Institute have developed a groundbreaking diagnostic tool that could transform the way acute leukemia is identified and treated. The tool, called MARLIN (Methylation- and AI-guided Rapid Leukemia Subtype Inference), uses DNA methylation patterns and machine learning to classify acute leukemia with speed and accuracy. This tool has the potential to significantly improve patient care by allowing faster and more precise treatment decisions.

Acute leukemia is an aggressive blood cancer that requires accurate diagnosis to guide treatment. Current diagnostic methods, which rely on a combination of molecular and cytogenetic tests, often take days or even weeks to complete. MARLIN, however, can provide results in as little as two hours from the time of biopsy. By providing rapid and detailed insights into leukemia subtypes, MARLIN could enable clinicians to make treatment decisions sooner and with more complete information.

Turning Plastic Waste into Fuel

Ali Kamali, a doctoral candidate in chemical and biomolecular engineering, inspects a sample of liquid fuel created from plastics.
Photo Credit: Kathy F. Atkinson

Plastics are valued for their durability, but that quality also makes it difficult to break down. Tiny pieces of debris known as microplastics persist in soil, water and air and threaten ecosystems and human health. Traditional recycling reprocesses plastics to make new products, but each time this is done, the material becomes lower in quality due to contamination and degradation of the polymers in plastics. Moreover, recycling alone cannot keep pace with the growing volume of global plastic waste.

Now, a University of Delaware-led research team has developed a new type of catalyst that enhances conversion of plastic waste into liquid fuels more quickly and with fewer undesired byproducts than current methods. Published in the journal Chem Catalysis, the pilot-stage work helps pave the way toward energy-efficient methods for plastic upcycling, reducing plastic pollution and promoting sustainable fuel production.

“Instead of letting plastics pile up as waste, upcycling treats them like solid fuels that can be transformed into useful liquid fuels and chemicals, offering a faster, more efficient and environmentally friendly solution,” said senior author Dongxia Liu, the Robert K. Grasseli Professor of Chemical and Biomolecular Engineering at UD’s College of Engineering.

Mammograms may benefit women well into their 80s, UCLA study finds

UCLA Health radiologist Dr. Tiffany Chan reviews a mammogram.
Photo Credit: Milo Mitchell/UCLA Health

For many older women, the question of whether to continue breast cancer screening has been uncertain. While most guidelines recommend mammograms up to age 74, advice for women 75 and older has been less clear. Now, a new study from researchers at the UCLA Health Jonsson Comprehensive Cancer Center suggests that regular mammograms may still offer significant benefits for women in their 80s.

The study is published in the Annals of Surgical Oncology, found that women in their 80s who get regular mammograms are more likely to have breast cancer detected early, need less aggressive treatment and live longer.

“When cancer is found on screening, it is often early stage,” said Dr. Nimmi Kapoor, an associate professor of surgery at the David Geffen School of Medicine at UCLA and senior author of the study. “In postmenopausal women with the most common hormone-sensitive breast cancers, we can often omit sentinel lymph node biopsy, chemotherapy, and sometimes even radiation. Screening is especially important in this era of de-escalation because early detection allows us to safely reduce the intensity of treatment while still achieving excellent outcomes.”

Space-based nuclear detonation detection mission endures

Visual safety observers Debra Yzquierdo, left, and Naomi Baros watch the skies for aircraft atop an observation platform.
Photo Credit: Craig Fritz

Roughly 12,550 miles above Earth, a constellation of U.S. global positioning satellites orbits the planet. GPS satellites also carry a sophisticated system designed to detect above ground nuclear detonations anytime, anywhere.

The Global Burst Detection system, developed by Sandia and Los Alamos national laboratories, carries a suite of sensors and instruments capable of identifying signals from nuclear detonations and providing real-time information to the U.S. military and government.

The final system in the current block of eight systems launched into space in May 2025. Meanwhile, the next series, scheduled for initial deployment in 2027, already has several units completed and ready to be integrated with host satellites.

This mission has endured for more than 60 years at the Labs. Teams of engineers, scientists and technologists work a decade ahead to develop new complex technologies that can withstand the harsh space environment while countering evolving threats.

Hostile hoots make robins eat less at night

At night, the little robin is extra vigilant
Photo Credit: Johan Nilsson

The sound of tawny owls makes young European robins eat less during their southward migration. A new study from Lund University in Sweden shows how the threat from nocturnal predators affects the birds’ behaviour – and by extension their survival.

When young robins embark on their first southward migration in the autumn, they make regular stops along the way to rest and replenish their energy reserves. However, each stop entails a risk – predators may be lurking nearby. 

In an article in the Journal of Animal Ecology, a research team has established that migrating birds are not only aware of threats around them, but also adapt their behaviour based on which predator calls they hear.

Boreal plants spread into the arctic tundra

The Grövelsjö mountains in the northern corner of Dalarna are home to the largest colonisation of boreal species on the bare mountains.
Photo Credit: Tage Vowles

A new international study involving researchers from the University of Gothenburg shows that vegetation in the Arctic is changing rapidly as species from nearby forests spread into the tundra. This change is occurring in half of the 1,100 areas studied and is mainly driven by species that already exist in the transition zone between forest and tundra.

In an increasingly warmer world, the Arctic tundra is becoming more forestlike. This process, known as borealisation, is particularly widespread in Eurasia and in Arctic mountain regions, where the distance to the boreal (northern) forest is shorter. Many species of grasses and shrubs that can live in both the tundra and the forest are gaining ground in the tundra. This is shown by a new large-scale study of 1,100 sampling sites across the entire Arctic biome.

New type of time crystals discovered

Time crystal 
Correlations between quantum particles result in a rhythmic signal – without the need for an external beat to set the tempo.
Image Credit: © TU Wien

Nature has many rhythms: the seasons result from the Earth's movement around the sun; the ticking of a pendulum clock results from the oscillation of its pendulum. These phenomena can be understood with very simple equations.

However, regular rhythms can also arise in a completely different way – by themselves, without an external clock, through the complex interaction of many particles. Instead of uniform disorder, a fixed rhythm emerges – this is referred to as a ‘time crystal’. Calculations by TU Wien (Vienna) now show that such time crystals can also be generated in a completely different way than previously thought. The quantum physical correlations between the particles, which were previously thought to be harmful for the emergence of such phenomena, can actually stabilize time crystals. This is a surprising new insight into the quantum physics of many-particle systems.

Ice dissolves iron faster than liquid water

When ice freezes and thaws repeatedly, chemical reactions are fuelled that can have significant impact on ecosystems. The photo was taken in Stordalen, Abisko.
Photo Credit: Jean-François Boily

Ice can dissolve iron minerals more effectively than liquid water, according to a new study from Umeå University. The discovery could help explain why many Arctic rivers are now turning rusty orange as permafrost thaws in a warming climate.

The study, recently published in the scientific journal PNAS, shows that ice at minus ten degrees Celsius releases more iron from common minerals than liquid water at four degrees Celsius. This challenges the long-held belief that frozen environments slow down chemical reactions.

“It may sound counterintuitive, but ice is not a passive frozen block,” says Jean-François Boily, Professor at Umeå University and co-author of the study. “Freezing creates microscopic pockets of liquid water between ice crystals. These act like chemical reactors, where compounds become concentrated and extremely acidic. This means they can react with iron minerals even at temperatures as low as minus 30 degrees Celsius.”

New tool makes generative AI models more likely to create breakthrough materials

The researchers applied their technique to generate millions of candidate materials consisting of geometric lattice structures associated with quantum properties. The kagome lattice, represented here, can support the creation of materials that could be useful for quantum computing.
Image Credit: Jose-Luis Olivares, MIT; iStock
(CC BY-NC-ND 4.0)

The artificial intelligence models that turn text into images are also useful for generating new materials. Over the last few years, generative materials models from companies like Google, Microsoft, and Meta have drawn on their training data to help researchers design tens of millions of new materials.

But when it comes to designing materials with exotic quantum properties like superconductivity or unique magnetic states, those models struggle. That’s too bad, because humans could use the help. For example, after a decade of research into a class of materials that could revolutionize quantum computing, called quantum spin liquids, only a dozen material candidates have been identified. The bottleneck means there are fewer materials to serve as the basis for technological breakthroughs.

Now, MIT researchers have developed a technique that lets popular generative materials models create promising quantum materials by following specific design rules. The rules, or constraints, steer models to create materials with unique structures that give rise to quantum properties.

“The models from these large companies generate materials optimized for stability,” says Mingda Li, MIT’s Class of 1947 Career Development Professor. “Our perspective is that’s not usually how materials science advances. We don’t need 10 million new materials to change the world. We just need one really good material.”