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Surgeon Christoph Haller and his research team from Toronto's Hospital for Sick Children are working on technology that could someday result in an artificial womb to help extremely premature babies. Chloe Ellingson for NPR hide caption

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An artificial womb could build a bridge to health for premature babies.

April 12, 2024 • Artificial wombs could someday save babies born very prematurely. Even though the experimental technology is still in animal tests, there are mounting questions about its eventual use with humans.

In the womb, a brother's hormones can shape a sister's future

April 9, 2024 • When siblings share a womb, sex hormones from a male fetus can cause lasting changes in a female littermate. This effect exists for all kinds of mammals — perhaps humans too.

The black-capped chickadee, seen here, is well known for its strong episodic memory. Dmitriy Aronov hide caption

The "barcodes" powering these tiny songbirds' memories may also help human memory

April 5, 2024 • Tiny, black-capped chickadees have big memories. They stash food in hundreds to thousands of locations in the wild – and then come back to these stashes when other food sources are low. Now, researchers at Columbia University's Zuckerman Institute think neural activity that works like a barcode may be to thank for this impressive feat — and that it might be a clue for how memories work across species.

The "barcodes" powering these tiny songbirds' memories may also help human memory

"One second doesn't sound like much, but in today's interconnected world, getting the time wrong could lead to huge problems," geophysicist Duncan Agnew says. Here, an official clock is seen at a golf tournament in Cape Town, South Africa. Johan Rynners/Getty Images hide caption

Negative leap second: Climate change delays unusual step for time standard

March 30, 2024 • We're nearing a year when a negative leap second could be needed to shave time — an unprecedented step that would have unpredictable effects, a new study says.

A researcher holds up a sandy De Winton's golden mole. Nicky Souness/Endangered Wildlife Trust hide caption

Once lost to science, these "uncharismatic" animals are having their moment

March 29, 2024 • Historic numbers of animals across the globe have become endangered or pushed to extinction. But some of these species sit in limbo — not definitively extinct yet missing from the scientific record. Rediscovering a "lost" species is not easy. It can require trips to remote areas and canvassing a large area in search of only a handful of animals. But new technology and stronger partnerships with local communities have helped these hidden, "uncharismatic" creatures come to light.

Once lost to science, these "uncharismatic" animals are having their moment

The country's two biggest reservoirs are on the Colorado River. Water levels at Lake Powell have dropped steeply during the two-decade megadrought. Justin Sullivan/Getty Images hide caption

The Colorado River rarely reaches the sea. Here's why

March 28, 2024 • More than half of the Colorado River's water is used to grow crops, primarily livestock feed, a new study finds. The river and its users are facing tough decisions as the climate warms.

A post-reproductive toothed whale mother and her son. David Ellifrit/Center for Whale Research hide caption

Most animals don't go through menopause. So why do these whales?

March 22, 2024 • Across the animal kingdom, menopause is something of an evolutionary blip. We humans are one of the few animals to experience it. But Sam Ellis , a researcher in animal behavior, argues that this isn't so surprising. "The best way to propagate your genes is to get as many offspring as possible into the next generation," says Ellis. "The best way to do that is almost always to reproduce your whole life."

A cicada perches on a picnic table in front of Nolde Mansion in Cumru Township, PA in May 2021. New research shows that these insects urinate in a surprising way. Ben Hasty / MediaNews Group/Reading Eagle via Getty Images hide caption

Scientists studied how cicadas pee. Their insights could shed light on fluid dynamics

March 20, 2024 • Cicadas, and the way they urinate, offer a 'perfect' lab for understanding fluid dynamics at very small scales, researchers say

Workers at the U.S. Embassy in Havana leave the building in September 2017. New research out of the National Institutes of Health finds no unusual pattern of damage in the brains of Havana syndrome patients. Emily Michot/Miami Herald/Tribune News Service via Getty Images hide caption

In Havana syndrome patients, NIH scientists find no physical trace of harm

March 18, 2024 • The mysterious ailments that became known as Havana syndrome left no physical evidence of injury or disease, according to two government studies.

This close-up of the Verona astrolabe shows Arabic and Hebrew markings. Federica Gigante hide caption

This medieval astrolabe has both Arabic and Hebrew markings. Here's what it means

March 16, 2024 • This discovery sheds new light on the rich history of scholarship and intellectual exchange between Muslims, Jews and Christians during a time of Muslim rule in medieval Spain.

Flares burn off methane and other hydrocarbons at an oil and gas facility in Lenorah, Texas in 2021. New research shows drillers emit about three times as much climate-warming methane as official estimates. David Goldman/AP hide caption

Oil and gas companies emit more climate-warming methane than EPA reports

March 13, 2024 • Oil and gas drillers are releasing more climate-warming methane than the government estimates, a new study shows.

This type of staghorn coral ( Acropora pulchra ) appeared to benefit from the presence of sea cucumbers ( Holothuria atra ), a new study finds. Terry Moore/Stocktrek Images / Science Source hide caption

This often-overlooked sea creature may be quietly protecting the planet's coral reefs

March 13, 2024 • The pickle-shaped bottom feeders may reduce the amount of microbes on the seafloor that could potentially sicken coral, scientists suggest

Millions of people are affected by long COVID, a disease that encompasses a range of symptoms — everything from brain fog to chronic fatigue — and that manifests differently across patients. The Washington Post/The Washington Post via Getty Images hide caption

What we know about long COVID — from brain fog to physical fatigue

March 13, 2024 • "Long COVID has affected every part of my life," said Virginia resident Rachel Beale said at a recent Senate hearing. "I wake up every day feeling tired, nauseous and dizzy. I immediately start planning when I can lay down again." Beale is far from alone. Many of her experiences have been echoed by others dealing with long COVID. It's a constellation of debilitating symptoms that range from brain fog and intense physical fatigue to depression and anxiety. But there's new, promising research that sheds light onto some symptoms. NPR health correspondent Will Stone talks with Short Wave host Regina G. Barber about the state of long COVID research — what we know, what we don't and when we can expect treatments or even cures for it. Have more COVID questions you want us to cover? Email us at [email protected] — we'd love to hear from you.

Maria E. Garay-Serratos holds a framed photograph of her mother, who died after suffering decades of domestic violence. Scientists are trying to understand how domestic violence damages the brain. Julio Serratos/Maria E. Garay-Serratos hide caption

Domestic violence may leave telltale damage in the brain. Scientists want to find it

March 8, 2024 • Traumatic brain injuries from intimate partner violence are common, and potentially more severe than those seen in sports.

Elephantnose Fish, Gnathonemus petersii, Congo ullstein bild hide caption

The "shocking" tactic electric fish use to collectively sense the world

March 8, 2024 • Neuroscientist Nathan Sawtell has spent a lot of time studying the electric elephantnose fish. These fish send and decipher weak electric signals, which Sawtell hopes will eventually help neuroscientists better understand how the brain filters sensory information about the outside world. As Sawtell has studied these electric critters, he's had a lingering question: why do they always seem to organize themselves in a particular orientation. At first, he couldn't figure out why, but a new study released this week in Nature may have an answer: the fish are creating an electrical network larger than any field a single fish can muster alone, and providing collective knowledge about potential dangers in the surrounding water.

The "shocking" tactic electric fish use to collectively sense the world

A digital illustration of a circle of hands extending from the edge of the image, each holding a sheet of paper. The papers overlap in the center and, like a puzzle, come together to reveal a drawing of a handgun. Oona Tempest/KFF Health News hide caption

Meet the public health researchers trying to rein in America's gun violence crisis

Kff health news.

March 6, 2024 • After the 1996 Dickey Amendment halted federal spending on gun violence research, a small group of academics pressed on, with little money or support. Now a new generation is taking up the charge.

This artist's concept shows the Voyager 1 spacecraft entering the space between stars. Interstellar space is dominated by plasma, ionized gas (illustrated here as brownish haze). NASA/JPL-Caltech hide caption

The Voyager 1 spacecraft has a big glitch. Now, NASA must figure out how to fix it

March 6, 2024 • The Voyager 1 space probe is the farthest human-made object in space. It launched in 1977 with a golden record on board that carried assorted sounds of our home planet: greetings in many different languages, dogs barking, and the sound of two people kissing, to name but a few examples. The idea with this record was that someday, Voyager 1 might be our emissary to alien life – an audible time capsule of Earth's beings. Since its launch, it also managed to complete missions to Jupiter and Saturn. In 2012, it crossed into interstellar space.

A case of bronchitis in 2014 left Sanna Stella, a therapist who lives in the Chicago area, with debilitating fatigue. Stacey Wescott/Tribune News Service via Getty Images hide caption

Clues to a better understanding of chronic fatigue syndrome emerge from a major study

February 23, 2024 • After seven years of research, the findings shed light on the long-neglected illness. Scientists say the results could lead to future trials for potential treatments.

A 3D model of a short section of the stone wall. The scale at the bottom of the image measures 50 cm. Photos by Philipp Hoy, University of Rostock; model created using Agisoft Metashape by J. Auer, LAKD M-V hide caption

Scientists scanning the seafloor discover a long-lost Stone Age 'megastructure'

February 22, 2024 • The more than half mile long wall, called the Blinkerwall, was likely used by Stone Age hunter-gatherers to herd reindeer toward a shooting blind.

The sun emits a mid-level solar flare releasing a burst of solar material. NASA hide caption

In light of the solar maximum, a look at the biggest solar storm in recorded history

February 21, 2024 • We are at the height of the Sun's activity in its eleven year cycle, known to astronomers as the solar maximum. This means that over the next several months there's going to be a lot of solar activity. It's got us thinking back to 1859. That's when astronomer Richard Carrington was studying the Sun when he witnessed the most intense geomagnetic storm recorded in history. The storm, triggered by a giant solar flare, sent brilliant auroral displays across the globe causing electrical sparking and fires in telegraph stations. This encore episode, Regina talks to solar physicist Dr. Samaiyah Farid about what's now known as the Carrington event and about what may happen the next time a massive solar storm hits Earth.

One woolly mammoth's journey at the end of the Ice Age

February 19, 2024 • Lately, paleoecologist Audrey Rowe has been a bit preoccupied with a girl named Elma. That's because Elma is ... a woolly mammoth. And 14,000 years ago, when Elma was alive, her habitat in interior Alaska was rapidly changing. The Ice Age was coming to a close and human hunters were starting early settlements. Which leads to an intriguing question: Who, or what , killed her? In the search for answers, Audrey traces Elma's life and journey through — get this — a single tusk. Today, she shares her insights on what the mammoth extinction from thousands of years ago can teach us about megafauna extinctions today with guest host Nate Rott .

Tai chi has many health benefits. It improves flexibility, reduces stress and can help lower blood pressure. Ruth Jenkinson/Getty Images/Science Photo Library hide caption

Tai chi reduces blood pressure better than aerobic exercise, study finds

February 14, 2024 • The slow-moving Chinese martial art tai chi is known to increase flexibility and balance. Now, research suggests it's more effective at reducing blood pressure than more vigorous forms of exercise.

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Title: jamba: a hybrid transformer-mamba language model.

Abstract: We present Jamba, a new base large language model based on a novel hybrid Transformer-Mamba mixture-of-experts (MoE) architecture. Specifically, Jamba interleaves blocks of Transformer and Mamba layers, enjoying the benefits of both model families. MoE is added in some of these layers to increase model capacity while keeping active parameter usage manageable. This flexible architecture allows resource- and objective-specific configurations. In the particular configuration we have implemented, we end up with a powerful model that fits in a single 80GB GPU. Built at large scale, Jamba provides high throughput and small memory footprint compared to vanilla Transformers, and at the same time state-of-the-art performance on standard language model benchmarks and long-context evaluations. Remarkably, the model presents strong results for up to 256K tokens context length. We study various architectural decisions, such as how to combine Transformer and Mamba layers, and how to mix experts, and show that some of them are crucial in large scale modeling. We also describe several interesting properties of these architectures which the training and evaluation of Jamba have revealed, and plan to release checkpoints from various ablation runs, to encourage further exploration of this novel architecture. We make the weights of our implementation of Jamba publicly available under a permissive license.

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Opening a new front against pancreatic cancer

A new type of investigational therapeutic in development for pancreatic cancer has shown unprecedented tumor-fighting abilities in preclinical models of the disease, suggesting it has the potential to offer novel treatment options for nearly all pancreatic tumors, a comprehensive study has found.

The inhibitors in this new class of oral medications, being developed by Revolution Medicines Inc., target the oncogenic or active cancer-causing form of RAS proteins (such as KRAS, NRAS, and HRAS). These RAS "oncoproteins" drive up to a third of all human cancers. The research findings -- conducted by a consortium of academic researchers led by Columbia scientists and the scientific team at Revolution Medicines -- were published in a paper appearing today in Nature .

Currently the third leading cause of death from cancer, pancreatic cancer kills about 50,000 people annually in the United States alone. Despite decades of research, the disease continues to stymie drug developers and oncologists. What's especially frustrating is that scientists know exactly what causes most cases at the cellular level. "For over four decades, we have known that there's one particular RAS protein, called KRAS, that's mutated and drives about 95% of all pancreatic ductal adenocarcinoma cases, and we've had no direct tools to attack it for most of that time," says Kenneth Olive, PhD, associate professor of medicine at Columbia University's Vagelos College of Physicians and Surgeons and Herbert Irving Comprehensive Cancer Center, one of the study's senior authors.

When the study's co-senior author, Mallika Singh, PhD, vice president for translational research at Revolution Medicines, told Olive the company had invented a class of inhibitors that had the potential to target all RAS mutations, he was incredulous. "My immediate reaction was skepticism," says Olive. "But I was curious, and we quickly established a collaboration."

Preclinical studies soon launched in the Olive lab at Columbia, led by Urszula Wasko, a PhD student in the molecular pharmacology graduate program. Early pilot experiments with RMC-7977 were remarkably effective. "We immediately knew we were working with something entirely different," says Olive. At the same time, Olive and Revolution Medicines worked to bring together pancreatic cancer experts from other academic institutions, including the University of Pennsylvania, Dana-Farber Cancer Institute, University of North Carolina at Chapel Hill, and Memorial Sloan Kettering. "Rather than compete against one another, we established a consortium and agreed to share data in real time. That was transformative," says Olive.

Pancreatic cancer researchers have developed many different preclinical models of the disease over the years, each with its own strengths and weaknesses. Rather than pick one, the expanded team tested RMC-7977 in all of them. "By unleashing a consortium of scientists on this problem, we were able to examine active RAS inhibition in every major class of model for pancreatic cancer, and this inhibitor performed really well in all," says Olive.

The preclinical tumor model Olive's lab has long favored is widely recognized for its broad resistance to treatment. "RMC-7977 as a single agent outperformed the best combination regimen that has ever been reported in the literature in that model system," he says, adding that it's the first time he's ever seen tumors routinely get smaller in those systems. Other models the consortium tested yielded similar results.

Because RMC-7977 also inhibits wild-type RAS proteins essential to the health of many normal cells, the scientists also carefully examined normal tissues in the treated animals. This work showed that tumor cells are uniquely sensitive to the inhibitor, while the impact in normal cells was minimal.

Though the initial responses in preclinical tumor models to the inhibitor were impressive, Olive hastens to point out that the tumors were not eliminated.

"In almost every case, the tumor came back," he says. In tissue culture, the investigators identified another oncogene, called MYC, that was altered in most of the resistant tumors, then developed a combination treatment that was effective against tumor cells that had developed resistance to the active RAS inhibitor. Those results suggest a combinatorial approach that is worth exploring in patients in the future.

In a field with a long history of failed drug development efforts, the new results are cause for optimism, Olive says. "I've been working on pancreatic cancer for almost 20 years, and I've never seen preclinical results like these. I think there is a real chance this approach will help change the standard of care for pancreatic cancer patients, but only clinical trials can determine that. I'm excited that Columbia is one of many institutions participating in the clinical development of these new agents."

• Pancreatic Cancer
• Brain Tumor
• Lung Cancer
• Breast Cancer
• Ovarian Cancer
• Colon Cancer
• Prostate Cancer
• Renal cell carcinoma
• Monoclonal antibody therapy
• Breast cancer
• Prostate cancer
• Drug discovery
• Tumor suppressor gene

Story Source:

Materials provided by Columbia University Irving Medical Center . Note: Content may be edited for style and length.

Journal Reference :

• Urszula N. Wasko, Jingjing Jiang, Tanner C. Dalton, Alvaro Curiel-Garcia, A. Cole Edwards, Yingyun Wang, Bianca Lee, Margo Orlen, Sha Tian, Clint A. Stalnecker, Kristina Drizyte-Miller, Marie Menard, Julien Dilly, Stephen A. Sastra, Carmine F. Palermo, Marie C. Hasselluhn, Amanda R. Decker-Farrell, Stephanie Chang, Lingyan Jiang, Xing Wei, Yu C. Yang, Ciara Helland, Haley Courtney, Yevgeniy Gindin, Karl Muonio, Ruiping Zhao, Samantha B. Kemp, Cynthia Clendenin, Rina Sor, William P. Vostrejs, Priya S. Hibshman, Amber M. Amparo, Connor Hennessey, Matthew G. Rees, Melissa M. Ronan, Jennifer A. Roth, Jens Brodbeck, Lorenzo Tomassoni, Basil Bakir, Nicholas D. Socci, Laura E. Herring, Natalie K. Barker, Junning Wang, James M. Cleary, Brian M. Wolpin, John A. Chabot, Michael D. Kluger, Gulam A. Manji, Kenneth Y. Tsai, Miroslav Sekulic, Stephen M. Lagana, Andrea Califano, Elsa Quintana, Zhengping Wang, Jacqueline A. M. Smith, Matthew Holderfield, David Wildes, Scott W. Lowe, Michael A. Badgley, Andrew J. Aguirre, Robert H. Vonderheide, Ben Z. Stanger, Timour Baslan, Channing J. Der, Mallika Singh, Kenneth P. Olive. Tumor-selective activity of RAS-GTP inhibition in pancreatic cancer . Nature , 2024; DOI: 10.1038/s41586-024-07379-z

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Prediction Models and Clinical Outcomes—A Call for Papers

• 1 Department of Medicine, University of Washington, Seattle
• 2 Deputy Editor, JAMA Network Open
• 3 Epidemiology, Rutgers The State University of New Jersey, New Brunswick
• 4 Statistical Editor, JAMA Network Open
• 5 Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
• 6 Editor, JAMA Network Open

The need to classify disease and predict outcomes is as old as medicine itself. Nearly 50 years ago, the advantage of applying multivariable statistics to these problems became evident. 1 Since then, the increasing availability of databases containing often-complex clinical information from tens or even hundreds of millions of patients, combined with powerful statistical techniques and computing environments, has spawned exponential growth in efforts to create more useful, focused, and accurate prediction models. JAMA Network Open receives dozens of manuscripts weekly that present new or purportedly improved instruments intended to predict a vast array of clinical outcomes. Although we are able to accept only a small fraction of those submitted, we have, nonetheless, published nearly 2000 articles dealing with predictive models over the past 6 years.

The profusion of predictive models has been accompanied by the growing recognition of the necessity for standards to help ensure accuracy of these models. An important milestone was the publication of the Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis ( TRIPOD ) guidelines nearly a decade ago. 2 TRIPOD is a reporting guideline intended to enable readers to better understand the methods used in published studies but does not prescribe what actual methods should be applied. Since then, while the field has continued to advance and technology improve, many predictive models in widespread use, when critically evaluated, have been found to neither adhere to reporting standards nor perform as well as expected. 3 , 4

There are numerous reasons why performance of models falls short, even when efforts are made to adhere to methodologic standards. Despite the vast amounts of data that are often brought to bear, they may not be appropriate to the task, or they may have been collected and analyzed in ways that are biased. Additionally, that some models fall short may simply reflect the inherent difficulty of predicting relatively uncommon events that occur as a result of complex biological processes occurring within complex clinical environments. Moreover, clinical settings are highly variable, and predictive models typically perform worse outside of the environments in which they were developed. A comprehensive discussion of these issues is beyond the scope of this article, but as physicist Neils Bohr once remarked, “it is very difficult to predict—especially the future.” 5

Although problems with accuracy are well documented, hundreds of predictive models are in regular use in clinical practice and are frequently the basis for critically important decisions. Many such models have been widely adopted without subsequent efforts to confirm that they actually continue to perform as expected. That is not to say that such models are without utility, because even a suboptimal model may perform better than an unaided clinician. Nevertheless, we believe that a fresh examination of selected, well-established predictive models is warranted if not previously done. JAMA Network Open has published articles addressing prediction of relatively common clinical complications, such as recurrent gastrointestinal bleeding. 6 We think there remains considerable opportunity for research in this vein. In particular, we seek studies that examine current performance of commonly applied clinical prediction rules. We are particularly interested in studies using data from a variety of settings and databases as well as studies that simultaneously assess multiple models addressing the same or similar outcomes.

We also remain interested in the derivation of new models that address a clear clinical need. They should utilize data that are commonly collected as part of routine care, or in principle can be readily extracted from electronic health records. We generally require that prediction models be validated with at least 1 other dataset distinct from the development dataset. In practice, this means data from different health systems or different publicly available or commercial datasets. We note that internal validation techniques, such as split samples, hold-out, k -fold, and others, are not designed to overcome the intrinsic differences between data sources and, therefore, are not suited to quantifying performance externally. While the population to which the models apply should be described explicitly, ideally any such models should be applicable to patients from the wide range of races, ethnicities, and backgrounds commonly encountered in clinic practice. Most importantly, we are interested in examples of models that have been evaluated in clinical settings, assessing their feasibility and potential clinical benefit. This includes studies with negative as well as positive outcomes.

Please see the journal’s Instructions for Authors for information on manuscript preparation and submission. 7 This is not a time-limited call for studies on this topic.

Published: April 12, 2024. doi:10.1001/jamanetworkopen.2024.9640

Open Access: This is an open access article distributed under the terms of the CC-BY License . © 2024 Fihn SD et al. JAMA Network Open .

Corresponding Author: Stephan D. Fihn, MD, MPH, Department of Medicine, University of Washington, 325 Ninth Ave, Box 359780, Seattle, WA 98104 ( [email protected] ).

Conflict of Interest Disclosures: Dr Berlin reported receiving consulting fees from Kenvue related to acetaminophen outside the submitted work. No other disclosures were reported.

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Fihn SD , Berlin JA , Haneuse SJPA , Rivara FP. Prediction Models and Clinical Outcomes—A Call for Papers. JAMA Netw Open. 2024;7(4):e249640. doi:10.1001/jamanetworkopen.2024.9640

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A new way to detect radiation involving cheap ceramics

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The radiation detectors used today for applications like inspecting cargo ships for smuggled nuclear materials are expensive and cannot operate in harsh environments, among other disadvantages. Now, in work funded largely by the U.S. Department of Homeland Security with early support from the U.S. Department of Energy, MIT engineers have demonstrated a fundamentally new way to detect radiation that could allow much cheaper detectors and a plethora of new applications.

They are working with Radiation Monitoring Devices , a company in Watertown, Massachusetts, to transfer the research as quickly as possible into detector products.

In a 2022 paper in Nature Materials , many of the same engineers reported for the first time how ultraviolet light can significantly improve the performance of fuel cells and other devices based on the movement of charged atoms, rather than those atoms’ constituent electrons.

In the current work, published recently in Advanced Materials , the team shows that the same concept can be extended to a new application: the detection of gamma rays emitted by the radioactive decay of nuclear materials.

“Our approach involves materials and mechanisms very different than those in presently used detectors, with potentially enormous benefits in terms of reduced cost, ability to operate under harsh conditions, and simplified processing,” says Harry L. Tuller, the R.P. Simmons Professor of Ceramics and Electronic Materials in MIT’s Department of Materials Science and Engineering (DMSE).

Tuller leads the work with key collaborators Jennifer L. M. Rupp, a former associate professor of materials science and engineering at MIT who is now a professor of electrochemical materials at Technical University Munich in Germany, and Ju Li, the Battelle Energy Alliance Professor in Nuclear Engineering and a professor of materials science and engineering. All are also affiliated with MIT’s Materials Research Laboratory

“After learning the Nature Materials work, I realized the same underlying principle should work for gamma-ray detection — in fact, may work even better than [UV] light because gamma rays are more penetrating — and proposed some experiments to Harry and Jennifer,” says Li.

Says Rupp, “Employing shorter-range gamma rays enable [us] to extend the opto-ionic to a radio-ionic effect by modulating ionic carriers and defects at material interfaces by photogenerated electronic ones.”

Other authors of the Advanced Materials paper are first author Thomas Defferriere, a DMSE postdoc, and Ahmed Sami Helal, a postdoc in MIT’s Department of Nuclear Science and Engineering.

Modifying barriers

Charge can be carried through a material in different ways. We are most familiar with the charge that is carried by the electrons that help make up an atom. Common applications include solar cells. But there are many devices — like fuel cells and lithium batteries — that depend on the motion of the charged atoms, or ions, themselves rather than just their electrons.

The materials behind applications based on the movement of ions, known as solid electrolytes, are ceramics. Ceramics, in turn, are composed of tiny crystallite grains that are compacted and fired at high temperatures to form a dense structure. The problem is that ions traveling through the material are often stymied at the boundaries between the grains.

In their 2022 paper, the MIT team showed that ultraviolet (UV) light shone on a solid electrolyte essentially causes electronic perturbations at the grain boundaries that ultimately lower the barrier that ions encounter at those boundaries. The result: “We were able to enhance the flow of the ions by a factor of three,” says Tuller, making for a much more efficient system.

Vast potential

At the time, the team was excited about the potential of applying what they’d found to different systems. In the 2022 work, the team used UV light, which is quickly absorbed very near the surface of a material. As a result, that specific technique is only effective in thin films of materials. (Fortunately, many applications of solid electrolytes involve thin films.)

Light can be thought of as particles — photons — with different wavelengths and energies. These range from very low-energy radio waves to the very high-energy gamma rays emitted by the radioactive decay of nuclear materials. Visible light — and UV light — are of intermediate energies, and fit between the two extremes.

The MIT technique reported in 2022 worked with UV light. Would it work with other wavelengths of light, potentially opening up new applications? Yes, the team found. In the current paper they show that gamma rays also modify the grain boundaries resulting in a faster flow of ions that, in turn, can be easily detected. And because the high-energy gamma rays penetrate much more deeply than UV light, “this extends the work to inexpensive bulk ceramics in addition to thin films,” says Tuller. It also allows a new application: an alternative approach to detecting nuclear materials.

Today’s state-of-the-art radiation detectors depend on a completely different mechanism than the one identified in the MIT work. They rely on signals derived from electrons and their counterparts, holes, rather than ions. But these electronic charge carriers must move comparatively great distances to the electrodes that “capture” them to create a signal. And along the way, they can be easily lost as they, for example, hit imperfections in a material. That’s why today’s detectors are made with extremely pure single crystals of material that allow an unimpeded path. They can be made with only certain materials and are difficult to process, making them expensive and hard to scale into large devices.

Using imperfections

In contrast, the new technique works because of the imperfections — grains — in the material. “The difference is that we rely on ionic currents being modulated at grain boundaries versus the state-of-the-art that relies on collecting electronic carriers from long distances,” Defferriere says.

Says Rupp, “It is remarkable that the bulk ‘grains’ of the ceramic materials tested revealed high stabilities of the chemistry and structure towards gamma rays, and solely the grain boundary regions reacted in charge redistribution of majority and minority carriers and defects.”

Comments Li, “This radiation-ionic effect is distinct from the conventional mechanisms for radiation detection where electrons or photons are collected. Here, the ionic current is being collected.”

Igor Lubomirsky, a professor in the Department of Materials and Interfaces at the Weizmann Institute of Science, Israel, who was not involved in the current work, says, “I found the approach followed by the MIT group in utilizing polycrystalline oxygen ion conductors very fruitful given the [materials’] promise for providing reliable operation under irradiation under the harsh conditions expected in nuclear reactors where such detectors often suffer from fatigue and aging. [They also] benefit from much-reduced fabrication costs.”

As a result, the MIT engineers are hopeful that their work could result in new, less expensive detectors. For example, they envision trucks loaded with cargo from container ships driving through a structure that has detectors on both sides as they leave a port. “Ideally, you’d have either an array of detectors or a very large detector, and that’s where [today’s detectors] really don’t scale very well,” Tuller says.

Another potential application involves accessing geothermal energy, or the extreme heat below our feet that is being explored as a carbon-free alternative to fossil fuels. Ceramic sensors at the ends of drill bits could detect pockets of heat — radiation — to drill toward. Ceramics can easily withstand extreme temperatures of more than 800 degrees Fahrenheit and the extreme pressures found deep below the Earth’s surface.

The team is excited about additional applications for their work. “This was a demonstration of principle with just one material,” says Tuller, “but there are thousands of other materials good at conducting ions.”

Concludes Defferriere: “It’s the start of a journey on the development of the technology, so there’s a lot to do and a lot to discover.”

This work is currently supported by the U.S. Department of Homeland Security, Countering Weapons of Mass Destruction Office. This support does not constitute an express or implied endorsement on the part of the government. It was also funded by the U.S. Defense Threat Reduction Agency.

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About 1 in 4 u.s. teachers say their school went into a gun-related lockdown in the last school year.

Twenty-five years after the mass shooting at Columbine High School in Colorado , a majority of public K-12 teachers (59%) say they are at least somewhat worried about the possibility of a shooting ever happening at their school. This includes 18% who say they’re extremely or very worried, according to a new Pew Research Center survey.

Pew Research Center conducted this analysis to better understand public K-12 teachers’ views on school shootings, how prepared they feel for a potential active shooter, and how they feel about policies that could help prevent future shootings.

To do this, we surveyed 2,531 U.S. public K-12 teachers from Oct. 17 to Nov. 14, 2023. The teachers are members of RAND’s American Teacher Panel, a nationally representative panel of public school K-12 teachers recruited through MDR Education. Survey data is weighted to state and national teacher characteristics to account for differences in sampling and response to ensure they are representative of the target population.

We also used data from our 2022 survey of U.S. parents. For that project, we surveyed 3,757 U.S. parents with at least one child younger than 18 from Sept. 20 to Oct. 2, 2022. Find more details about the survey of parents here .

Here are the questions used for this analysis , along with responses, and the survey methodology .

Another 31% of teachers say they are not too worried about a shooting occurring at their school. Only 7% of teachers say they are not at all worried.

This survey comes at a time when school shootings are at a record high (82 in 2023) and gun safety continues to be a topic in 2024 election campaigns .

Teachers’ experiences with lockdowns

About a quarter of teachers (23%) say they experienced a lockdown in the 2022-23 school year because of a gun or suspicion of a gun at their school. Some 15% say this happened once during the year, and 8% say this happened more than once.

High school teachers are most likely to report experiencing these lockdowns: 34% say their school went on at least one gun-related lockdown in the last school year. This compares with 22% of middle school teachers and 16% of elementary school teachers.

Teachers in urban schools are also more likely to say that their school had a gun-related lockdown. About a third of these teachers (31%) say this, compared with 19% of teachers in suburban schools and 20% in rural schools.

Do teachers feel their school has prepared them for an active shooter?

About four-in-ten teachers (39%) say their school has done a fair or poor job providing them with the training and resources they need to deal with a potential active shooter.

A smaller share (30%) give their school an excellent or very good rating, and another 30% say their school has done a good job preparing them.

Teachers in urban schools are the least likely to say their school has done an excellent or very good job preparing them for a potential active shooter. About one-in-five (21%) say this, compared with 32% of teachers in suburban schools and 35% in rural schools.

Teachers who have police officers or armed security stationed in their school are more likely than those who don’t to say their school has done an excellent or very good job preparing them for a potential active shooter (36% vs. 22%).

Overall, 56% of teachers say they have police officers or armed security stationed at their school. Majorities in rural schools (64%) and suburban schools (56%) say this, compared with 48% in urban schools.

Only 3% of teachers say teachers and administrators at their school are allowed to carry guns in school. This is slightly more common in school districts where a majority of voters cast ballots for Donald Trump in 2020 than in school districts where a majority of voters cast ballots for Joe Biden (5% vs. 1%).

What strategies do teachers think could help prevent school shootings?

The survey also asked teachers how effective some measures would be at preventing school shootings.

Most teachers (69%) say improving mental health screening and treatment for children and adults would be extremely or very effective.

About half (49%) say having police officers or armed security in schools would be highly effective, while 33% say the same about metal detectors in schools.

Just 13% say allowing teachers and school administrators to carry guns in schools would be extremely or very effective at preventing school shootings. Seven-in-ten teachers say this would be not too or not at all effective.

How teachers’ views differ by party

Republican and Republican-leaning teachers are more likely than Democratic and Democratic-leaning teachers to say each of the following would be highly effective:

• Having police officers or armed security in schools (69% vs. 37%)
• Having metal detectors in schools (43% vs. 27%)
• Allowing teachers and school administrators to carry guns in schools (28% vs. 3%)

And while majorities in both parties say improving mental health screening and treatment would be highly effective at preventing school shootings, Democratic teachers are more likely than Republican teachers to say this (73% vs. 66%).

Parents’ views on school shootings and prevention strategies

In fall 2022, we asked parents a similar set of questions about school shootings.

Roughly a third of parents with K-12 students (32%) said they were extremely or very worried about a shooting ever happening at their child’s school. An additional 37% said they were somewhat worried.

As is the case among teachers, improving mental health screening and treatment was the only strategy most parents (63%) said would be extremely or very effective at preventing school shootings. And allowing teachers and school administrators to carry guns in schools was seen as the least effective – in fact, half of parents said this would be not too or not at all effective. This question was asked of all parents with a child younger than 18, regardless of whether they have a child in K-12 schools.

Like teachers, parents’ views on strategies for preventing school shootings differed by party. 

Note: Here are the questions used for this analysis , along with responses, and the survey methodology .

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About Pew Research Center Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions. It is a subsidiary of The Pew Charitable Trusts .