Authors: Kai Riemer, Professor of Information Technology and Organisation, University of Sydney and Sandra Peter, Director of Sydney Executive Plus, Business School, University of Sydney

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Arctic terrestrial permafrost ecosystems store around 1,300 gigatonnes of carbon from organic sources, such as from the remains of plants. Sediments in oceans and river deltas contain a further 400 gigatonnes. Global warming, however, is taking its toll on this natural freezer: temperatures in the Arctic are rising faster than anywhere else on our planet, with the result that permafrost in the region is thawing rapidly. The carbon stored here can then enter the Arctic Ocean via rivers and eroding coastlines. “Consequently, up to 0.02 gigatonnes are entering the sea each year, and according to forecasts, this outflow could rise by 70 to 150 per cent by the year 2100,” says Dr Manuel Ruben, lead author of the study from the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI). “However, how much of this is released back into the atmosphere as a greenhouse gas and how much is stored in the seabed has, until now, been largely unknown.” Yet, this knowledge is essential for assessing the climate impact of thawing permafrost.

To get to the bottom of this unknown, the researchers retrieved and analysed sediment cores taken at various intervals off the coast of the Canadian island of Herschel Island ¹. The cores contain deposits spanning around 50 years. Analysis of the sediments revealed something surprising: “Although the sea here carries away huge quantities of organic carbon from the coast, surprisingly little of it ends up in the ocean’s active carbon cycle,” says Manuel Ruben. “Microorganisms convert around ten per cent of the organic carbon from the sediments into gases, which rise into the water and can then enter our atmosphere.” The major share, however, is stored in the seabed.

In conducting their analysis, the researchers first examined the composition of the sediment cores in detail and also investigated how rapidly permafrost deposits accumulate on the seabed. To this end, they measured how much inorganic dissolved carbon accumulates in tiny cavities within the sediment layers – known as pore water. This provides an indication of how much CO₂ microorganisms have ‘exhaled’ after ‘digesting’ the organic carbon. The isotopic composition of the pore water provides insights into which organic material from which source has been broken down. ”Carbon isotopes represent our atomic indicators that can identify the food source of the microorganisms,” says Prof. Gesine Mollenhauer, a geochemist at the AWI and co-spokesperson for the ‘The Ocean Floor – Earth’s Unexplored Interface’ cluster of Excellence. “The ¹³C isotope, for example, tells us whether they have consumed carbon from land or from the sea. By way of the ¹⁴C isotope, we were able to determine whether the single-celled organisms preferred old organic carbon from permafrost or fresh organic carbon from algae remains.”

One explanation for this lies in the eating habits of these tiny organisms: “The sediment is home to ‘gourmet’ bacteria that apparently prefer fresh carbon stemming from, for example, more recent algal remains over the ‘old’ carbon from permafrost deposits,” explains Gesine Mollenhauer. This suggests that the organic carbon entering the sea from land contributes less to the amount of greenhouse gases in the atmosphere than originally feared. “However, we do need further research here. This is because some of the organic carbon from the permafrost may already have been broken down before it reaches the seabed.”

In addition to the impact of land-ocean carbon transport on atmospheric greenhouse gas levels, further effects are possible. For instance, this transport influences the biogeochemistry of coastal waters, which also play an important role in providing food for the local population. This is because the sediments alter the amount of sunlight available: on the one hand, the freshly broken-off fragments cloud the coastal ocean, while on the other hand, the organic carbon they contain discolours the water as it dissolves into it. Single-celled organisms such as algae, however, need light to convert this into biomass and oxygen. This primary production, in turn, forms the foundation for marine life such as fish, crustaceans and seals. The researchers aim to investigate these complex interrelationships, among other things, as part of the international ‘Arctic Pulse’ campaign planned for 2027. Through coordinated measurement campaigns aboard the Polarstern research icebreaker, using the AWI’s research aircraft and on land, they will investigate how rapid environmental change is altering ecosystems in the Arctic.

“Our study shows, more precisely than ever before, how much carbon is safely stored in the seabed – and just how much of the decomposed material actually originates from the old permafrost,” says Manuel Ruben. “This provides an important foundation for climate models that can predict the consequences of permafrost thawing for the global climate.”

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One of the most striking discoveries in condensed matter physics over the past few years is that simply rotating one atomically thin crystal on top of an identical layer can create entirely new electronic behavior. This idea became famous in 2018, when physicists found that graphene sheets stacked at a very particular “magic angle” could turn into a superconductor, even though a single sheet of graphene is not. That discovery launched an entire field, sometimes called twistronics, built around moiré patterns: the large-scale interference patterns that appear when two crystal lattices are laid on top of each other with a slight mismatch in angle or spacing. In many materials, these patterns reshape how electrons move, sometimes producing superconductivity or other exotic collective states.

Moiré collapse

Most of this research has focused on materials whose crystal structure looks roughly the same in every direction, such as graphene, where the interesting physics shows up only at very small twist angles, close to perfect alignment. Now, a team of researchers instead looks at a strongly directional material: bilayer black phosphorus, whose atomic structure behaves very differently along two perpendicular directions in the plane, somewhat like a fabric that stretches easily one way but not the other. That built-in directionality turns out to change the whole logic of moiré physics, producing an effect the authors call moiré collapse. ¹

In black phosphorus, the two layers start out rotated 90 degrees relative to each other. As that angle is dialed away from 90 degrees, the moiré pattern does something unusual. Rather than staying a two-dimensional pattern, like a slowly shifting checkerboard, it stretches more and more along one direction until, at a specific angle that depends only on the material’s own geometry, it effectively stops repeating in the other direction altogether. What remains behaves like a one-dimensional crystal, even though the material is still built from ordinary two-dimensional atomic sheets. For twisted bilayer black phosphorus, the calculations place this collapse at a twist of about 71.6 degrees, or equivalently about 18.4 degrees away from the initial 90-degree arrangement.

Pure geometry

This transformation has nothing to do with how electrons repel or attract each other; it is pure geometry. The mathematical description of the moiré pattern, expressed in terms of the directions in which its periodicity repeats, is squeezed from two independent directions down to one. In ordinary space, this means the pattern keeps a well-defined repeat distance along one axis while stretching out indefinitely along the other, with no repeating pattern left in that direction at all.

Such a dramatic structural change reshapes the electrons riding on top of it. At the untwisted 90-degree configuration, the anisotropy of one layer happens to cancel out the anisotropy of the other, so electrons move about equally well in every in-plane direction. As the twist angle approaches the collapse point, that cancellation breaks down. The electron energy bands become sharply directional, and electrons increasingly travel along one preferred line rather than spreading across the plane. Their energy spectrum starts to show the telltale fingerprints of one-dimensional systems, including sharp spikes in the density of available electron states known as one-dimensional van Hove singularities.

Luttinger liquid physics

One-dimensional conductors behave very differently from ordinary metals. In a three-dimensional metal, electrons can mostly be treated as independent particles that only weakly notice one another. Confine them to a single dimension, however, and that picture stops working: electrons cannot slip past each other, so they are forced to move collectively, in a coordinated wave-like fashion. The framework that describes this collective behavior, called Luttinger liquid theory, traces back to work by Sin-Itiro Tomonaga in 1950 and Joaquin Luttinger in 1963, and it has since been confirmed experimentally in systems such as carbon nanotubes. In a Luttinger liquid, the basic excitations are not single electrons at all, but collective ripples of charge and spin, and this leads to electrical transport properties that look qualitatively different from those of a normal metal.

The calculations in this study show that moiré collapse naturally sets up the conditions Luttinger liquid physics requires. As the collapse angle is approached, the one-dimensional electronic channels that form become progressively less coupled to their neighbors, making the correlated, wave-like behavior increasingly favorable. The analysis estimates a Luttinger parameter of about 0.3 for the collapsed black phosphorus system, a value indicating strong electron-electron interactions, and it predicts distinctive collective charge oscillations and unusual, non-metallic patterns in electrical conduction that could, in principle, be measured in the laboratory.

A notable feature of this mechanism is that the electron bands stay quite dispersive even at collapse, with electron speeds exceeding 100 kilometers per second. This sets it apart from most previously studied moiré systems, including twisted graphene, where strong correlations usually arise because the electronic bands become extremely flat and electrons effectively slow to a crawl. Here, the correlated behavior instead comes from the geometric collapse of the moiré lattice itself, with fast-moving electrons confined to one dimension rather than slow ones spread over two.

Moiré collapse is not a peculiarity of one material

To test these ideas, the researchers combined simplified mathematical models with detailed first-principles calculations of the atomic and electronic structure. Beyond black phosphorus, they found the same collapse in twisted bilayer tin selenide, another layered material with strongly directional bonding. The details of the electronic structure differ somewhat because of the specific atomic orbitals involved, but the same geometric collapse into quasi-one-dimensional channels appears, suggesting the phenomenon is not a peculiarity of one material but a general consequence of twisting any sufficiently anisotropic crystal.

Taken together, the findings outline a different strategy for engineering exotic quantum matter. Instead of hunting for a special magic angle that flattens electronic bands, as in twisted graphene, this approach relies on a purely geometric collapse angle at which a two-dimensional moiré material naturally turns one-dimensional. If confirmed in experiments, it would offer a new and versatile platform for studying Luttinger liquids and other correlated electronic phases that only emerge when electrons are squeezed into moving along a single line.

 

Author: César Tomé López is a science writer and the editor of Mapping Ignorance

Disclaimer: Parts of this article may have been copied verbatim or almost verbatim from the referenced research paper/s.

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Authors: María-Luisa Chas-Amil, Catedrática de Economía Aplicada, Universidade de Santiago de Compostela and Julia María Touza, Professor of Environmental Economics, University of York

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Many of today’s electronic devices — from the semiconductors in your cell phone to the photovoltaic cells in your solar panels — are built on thin-film substrates. The thin film is an electronically conductive material while the substrate is an inert material. Or is it?

Physicists and materials scientists have long assumed substrates do not react to electrical stimulus, but new research from the University of California San Diego Alex Frañó’s lab and a team of collaborators has shown that substrates are not inert after all. The discovery ¹ has the potential to help engineers build the dense, three-dimensional, brain-inspired computer chips needed for more energy-efficient computing.

In a human brain, a vast network of neurons works across different regions, enabling every thought and action we take. Yet thoughts that are quick and simple for humans — recognizing faces, differentiating a cat from a dog or solving a captcha — can be devilishly hard and energy-intensive for computers. Quantum materials may provide a solution.

It was this quest to develop new materials that led Frañó’s lab to study vanadium dioxide thin-film devices. When a voltage is applied to the thin film, an electric filament forms — something similar happens when the Earth and atmosphere create a voltage strong enough to result in lightning. The filament in the thin film drives the device’s electrical spiking, much like the signals in our neurons.

This reaction has been studied countless times in labs around the world, but Frañó’s lab was implementing a new technique, developed by graduate student Elliot Kisiel, called dark-field X-ray microscopy. Kisiel, who spent most of his graduate studies at Argonne National Laboratory and is now a Mayer Postdoctoral Fellow there, developed the tool to combine the best of two worlds: electron microscopy and X-ray diffraction.

“Dark-field X-ray microscopy gives us the ability to look at an entire device in one image, which not only greatly improves how fast we can perform these measurements, but also allows us to study the areas surrounding the devices with high fidelity,” he stated.

A changing substrate

Since the lenses for X-rays are often thick and, therefore, absorb most of the X-rays that pass through them, the team needed to look at something that provided more signal, which is why they decided to look at the substrate during some of their preliminary testing with this new technique.

What they saw was completely unexpected: not only was there a change in the thin film, but there was also a change in the substrate, showing for the first time that the two parts were sharing energy or “coupled.” This discovery went against everything scientists had assumed about substrates for decades.

 Materials for a new age of computing

Thin films are so called because they are vanishingly thin — around 100 nanometers — while the substrates they sit on can be 10,000 times thicker. Despite their lopsided sizes, in this experiment, the thin film was able to push and pull on the substrate. Frañó likened the discovery to a tree on a mountaintop being able to move the entire mountain. Furthermore, the substrate also acted on the thin film, each pushing and pulling on the other.

They spent the next four years making sure what they saw wasn’t a fluke. They not only reproduced the results doing the research exactly as they had done it the first time, but they also reproduced the results when they changed certain aspects of the sample, such as the thickness and material of the substrate. They also tested their results using different instrumentation. Much of that work was done at Argonne, which has a synchrotron facility that produces high brilliance X-rays, and at Brookhaven National Laboratory, home to the world’s only all-electric ultrafast electron microscope, which is able to capture exactly how a working device behaves under realistic operating conditions.

It wasn’t a fluke.

“The assumption that substrates are inert needs to be rethought,” Frañó stated. “Going forward, we have to assume that the substrate is undergoing changes when the film is. This is a transformational notion that counters decades of previous supposition.”

This paper is a companion to a paper that was published last year in ACS Nano ². In that paper, they used dark-field X-ray microscopy to study the thin film, while this paper focuses on the substrate. Together they illustrate how one research result leads to the next research inquiry.

In Frañó’s case, the question he now asks himself is, “What can we do with this new substrate discovery? If a tree is moving the whole mountain, let’s find a way to capitalize on that.”

One idea is that the substrate can act as a medium that can couple materials on either end of the substrate. Currently, thin film devices are connected two-dimensionally, but if researchers could build on both sides of a substrate, it would allow for three-dimensionality, opening up the possibility of denser, more interconnected computer chips, and bringing us one step closer to the next generation of computing.

 

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Author: Marta Sánchez López, Postdoctoral researcher at Research Centre for Basque Language and Texts (CNRS-IKER) – Université Bordeaux Montaigne. She also collaborates with the The Bilingual Mind Research Group (Gogo Elebiduna), University of the Basque Country. 

In our daily life, we perceive many different events around us with different participants involved, such as a woman dancing in a theater, or a man enjoying an ice cream. To produce and understand the sentences that express these events, it is crucial to identify the number of participants involved and the role that each one plays. As in a drama, we have to identify the role that each character has to understand the story.

Agents, patients and experiencers

In some events, there are two characters involved, as in the girl kicks the ball, with the girl and the ball; in others, instead, there is only one, as in the woman dances or the man falls down, with the woman or the man. Each of these participants has a different role. For example, the woman is an agent, because she is doing the action, just the opposite of the man, who is a patient, because he is the one affected. In the case of the girl has fun, this participant has the role of experiencer, the one who experiences the enjoyment.

In psycholinguistics, the mechanisms involved in the processing of agent, patient, and experiencer roles have been investigated through different experiments such as reading sentences while participants’ brain activity or eye-movements are recorded. In these studies, it has been found that agent and patient categories play a crucial role in language comprehension and production. These two roles are used when reading, listening to, and producing sentences, and different mechanisms are involved in their processing (e.g., ¹²³⁴⁵). Therefore, they form two different categories within the event role repertoire ⁶. They are two different characters within the drama. However, as I will discuss, there is no experimental evidence for a third character, the experiencer role.

One well-established result regarding the processing of agents and patients comes from experiments where participants are asked to read sentences while their brain activity is recorded by means of electrodes, known as EEG studies. Results of these studies show that the processing of patients elicited an N400 component (a negative brain response that occurs around 400 milliseconds after a stimulus is processed) compared to the processing of agents. This effect is associated with the processing of unexpected elements. For example, when processing the day was breezy so the boy went outside to fly, it is expected to read next a kite based on the preceding context; hence, if an airplane is read instead, as this is unexpected, then an N400 effect appears ⁷. Something similar happens with the processing of agents and patients: agents are expected, whereas patients unexpected.

Across languages, speakers tend to interpret the first ambiguous noun phrase of a sentence as an agent instead of as a patient, due to the agent preference ⁸: agents are preferred and are cognitively more salient than patients. Imagine that someone reads the sentence Mary falls down. Before encountering the verb, the reader cannot know whether Mary is an agent or a patient. However, as agents are preferred over patients, the reader interprets that it is an agent by default. Once the verb is reached, there are two options: confirm that Mary is an agent (the expected role) or recategorize it as a patient (the unexpected role). In Mary falls down, it is the second option, Mary is categorized as a patient, because the verb selects this role. This recategorization is reflected in an N400 component. This result shows that agents and patients have different processing mechanisms and that they form two different categories. Furthermore, this effect has been largely found in different languages such as, Basque (Isasi-Isasmendi et al., 2024), Spanish ⁹, German (Haupt et al., 2008), Hindi (Bickel et al., 2015), or Aïwoo (Sauppe et al., 2023), supporting its robustness.

Therefore, these experimental findings show that there is a preference toward agents over patients. The agent is the protagonist of the show, while the patient plays a secondary role.

What about experiencers?

Linguists have proposed that there are other roles within the event role repertoire, for example, the experiencer role ¹⁰.This role corresponds to the participant who experiences a mental state denoted by the verb. Participants of events like loving someone or enjoying an ice cream have this role. The experiencer is the participant who loves or enjoys.

But does experimental evidence show that the experiencer role is a specific role category within the event role repertoire, as agent and patient roles do?

In Sánchez-López (2026), I addressed this question. I investigated whether speakers use a third category, the experiencer role, when processing language. In three reading eye-tracking experiments and in one EEG experiment, I asked Spanish native speakers to read sentences, while their eye-movements and their brain activity were recorded.

In the first two eye-tracking experiments, I compared de processing of sentences with two participants with different combinations of agent, experiencer, and patient roles: (i) María golpea a Juan “Mary hits John”, with an agent (María) and a patient (Juan); (ii) María asusta a Juan “Mary frightens John”, with an agent (María) and an experiencer (Juan); and (iii) María ama a Juan “Mary loves John”, with an experiencer (María) and a patient (Juan).

These two experiments revealed that Spanish native speakers produced higher fixation times on verbs selecting agent-experiencer roles (ii), than on the other two sentence types (i, iii), independently of whether the subject was animate or inanimate (e.g., María/La situación asusta a Juan “Mary/The situation frightens John”). Interestingly, no processing differences were found between sentences selecting agent-patient (i) and experiencer-patient (iii). These findings show that the combination of agent-experiencer involves higher processing cost than other combinations.

But why is the agent-experiencer combination costlier than the others?

A possible explanation could be that the experiencer role is not a specific category within the event role repertoire. As Dowty ¹¹ proposed, agents and experiencers are both grouped within the same category, the one of the proto-agent. Based on this proposal, there are only two roles in the event role repertoire, proto-agent and proto-patient, and proto-agents always become subjects. Hence, in sentences like Mary frightens John, both participants are proto-agents. Since they are both possible candidates to become subject, a competition for subject assignment appears. This competition is reflected in higher processing cost compared to those sentences without competition, sentences with only one proto-agent participant (e.g., Mary hits John or Mary loves John).

To better understand this competition effect, imagine that the proto-agent is the hero of the story and the proto-patient is the villain. In a drama, if there is a hero, there is also a villain. If there are two heroes and no villain in the story, it would be unusual, and probably, it would take more time to understand the story, since this is not expected. Hence, the same happens with sentences like Mary frightens John, which have two proto-agents; this combination is unexpected and it entails higher processing cost than when there is only one proto-agent and one proto-patient.

In another reading experiment using both eye-tracking and EEG techniques, I compared the processing of the three roles, agent, experiencer, and patient again to determine whether this experiencer role behaves like the agent role or not. In these experiments, I used sentences with only one participant involved: (iv) María baila “Mary dances” with an agent, (v) María disfruta “Mary has fun” with an experiencer, and (vi) María se cae “Mary falls down” with a patient. The use of these sentences allowed a more direct comparison of the processing of these roles, since the three roles are subjects. The structure of all sentences is the same (one participant and the verb), and only the event role category changes.

Results revealed that participant looked more at sentences with agents and experiencers than at sentences with patients. Moreover, I found that participants exhibited a preference to interpret the first ambiguous noun phrase (i.e., María) as an agent/experiencer; hence, when they realized that it was a patient instead, an N400 component appeared. But this effect only appeared with patients, not with experiencers, showing that participants processed similarly agents and experiencers, and both different from patients.

What does this evidence show?

These results align with the hypothesis that there are only two role categories within the event role repertoire (Dowty, 1991): proto-agent and proto-patient. Therefore, when the sentences Mary dances or Mary has fun are processed, in both cases, Mary is interpreted as a proto-agent, whereas in Mary falls down, she is interpreted as a patient instead.

All in all, this evidence suggests that agents and experiencers belong to the same role category, the one of the proto-agent. Therefore, when we process language, it seems that we do not differentiate between agents and experiencers, rather we process them similarly. Experiencers are grouped together with agents, being the same character in the event, both proto-agents.

So, proto-agents are the protagonists of the story, the ones that spectators prefer to pay attention to, whereas proto-patients are the secondary characters who complement the story. Regarding experiencers, they do not play a different character in the story, instead, they are also the protagonists.

 

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Turning low-energy light into higher-energy light seems to break the usual rules of physics, since energy is supposed to run downhill, not uphill. Yet a process called photon upconversion achieves exactly this, without breaking any laws of thermodynamics. Instead of absorbing one photon and releasing a single photon of lower energy, as most light-absorbing molecules do, an upconversion system absorbs two lower-energy photons and combines their energy to release one higher-energy photon. Because it takes two photons to make one, the total energy is still conserved; the trick is repackaging it into a more useful form. The phenomenon was first observed in the 1960s in simple organic mixtures cooled to very low temperatures, but it only became practical decades later, once chemists identified metal-containing dyes able to hold their excited states at room temperature. Since then, scientists have pursued upconversion as a way to make better use of sunlight, to power light-driven chemical reactions, to improve imaging inside living tissue, and to build new kinds of optoelectronic devices.

Triplet-triplet annihilation

The most developed route to upconversion relies on a process called triplet-triplet annihilation. A light-absorbing molecule known as a sensitizer first captures a low-energy photon and passes that energy to a second type of molecule, the annihilator. The annihilator settles into a triplet excited state, an unusually long-lived condition that allows it to persist until it meets a second annihilator molecule in the same state. When two such molecules collide, one drops back to its ground state while the other is pushed up into a higher-energy singlet state, from which it emits a photon of higher energy than either of the photons that started the process.

A long-standing problem with this scheme is that ordinary sensitizer molecules lose a portion of the absorbed energy internally, as the initially excited state converts into the lower-energy triplet state that gets passed along. This loss caps how large an energy jump the whole system can ultimately achieve. One promising way around the problem is to replace the conventional sensitizer with an organic radical, a molecule carrying a single unpaired electron. That unpaired electron gives radicals unusual electronic and magnetic behavior and can make the conversion from absorbed light into a usable excited state considerably more efficient, since it opens transitions that are otherwise very weak in conventional molecules.

A single hydrogen to control it all

New research examined ¹ a pair of molecules built on this idea, both based on a radical component linked directly to an anthracene unit, the same type of light-emitting building block used in classic annihilators. The two molecules are nearly identical, differing at a single carbon atom: in one, that carbon carries the unpaired electron of the radical; in the other, an ordinary hydrogen atom has been added, pairing up the electron and removing the radical character entirely. That single hydrogen atom turns out to control everything. The radical version behaves as an efficient sensitizer, while the hydrogen-added version behaves as an annihilator, even though the two molecules share almost the same overall structure.

To work out why, the investigation combined light-based spectroscopy, electron spin resonance (a technique that detects unpaired electrons), and quantum chemical calculations. After the radical absorbs red light, its excitation transfers within about ten picoseconds (ten trillionths of a second) to the attached anthracene unit, creating a long-lived excited state that still carries some radical character. This internal handoff stretches the effective excited-state lifetime to more than 250 nanoseconds, roughly ten times longer than the 27 nanoseconds measured for the radical unit on its own. A longer-lived excited state gives the sensitizer far more opportunity to encounter another molecule and hand off its energy before simply decaying back to the ground state. The calculations independently pointed to the same conclusion, showing that energy transfer to a nearby annihilator proceeds far more readily through this long-lived triplet-like state than directly from the radical’s first excited state.

A mix needed

The work also tested an idea proposed in earlier research, that a single radical-containing molecule of this kind might act as both sensitizer and annihilator on its own, a so-called single-component upconversion system. The new experiments argue against this. Solutions containing only the radical molecule, across a range of concentrations, showed no detectable upconverted light, consistent with the radical’s higher excited states relaxing away too quickly for the necessary emission to compete.

Efficient upconversion instead required mixing the radical sensitizer with its hydrogen-added counterpart, or with the well-established annihilator 9,10-diphenylanthracene. Because the two molecules share nearly the same molecular framework, this two-molecule mixture is described as a “pseudo-single-component” system. Shining red light at 658 nanometres onto the radical paired with its hydrogenated twin produced blue emission at 450 nanometres, an apparent energy gain of about 0.9 electronvolts, with 7 percent of absorbed photon pairs converted into upconverted light. Pairing the same radical sensitizer with 9,10-diphenylanthracene instead produced blue emission at 437 nanometres, a slightly larger energy gain of about 1.0 electronvolt, with 12 percent efficiency. Both figures mark a large improvement over earlier all-organic radical sensitizers, which had reached efficiencies of only a few tenths of a percent, and the upconverted emission remained stable over hours of continuous illumination.

A practical strategy for photon upconversion

Beyond these specific molecules, the study illustrates how a minimal change in molecular structure, adding or removing a single hydrogen atom, can completely redirect a molecule’s photochemical role, switching it from an energy donor to an energy acceptor. Combining optical measurements, spin resonance, and computation made it possible to trace exactly why this switch occurs at the level of electronic structure, rather than simply observing that it happens.

The findings offer a clearer picture of how organic radicals can be harnessed for photon upconversion and point toward a practical strategy for building more efficient materials from radicals and their closed-shell relatives together. Such materials could eventually help capture more of the solar spectrum, drive light-powered chemical synthesis, or improve the efficiency of light-emitting technologies, by putting to use photons that would otherwise be wasted.

Author: César Tomé López is a science writer and the editor of Mapping Ignorance

Disclaimer: Parts of this article may have been copied verbatim or almost verbatim from the referenced research paper/s.

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Researchers at the University of Michigan have created a device that enables them to control the flow of electrons through a semiconductor using only laser light—no electrical power source required.

This device was built ¹ to explore fundamental physics and realize a previously unobserved behavior, but it could also open doors for new applications in areas that bridge optics and electronics, including sensing, imaging and telecommunications. The phenomenon could help improve how signals are sent through and between devices, as well as create new opportunities to store more information in those signals.

 

“This electrical device that we manufactured at the Lurie Nanofabrication Facility has the potential to turn into something that measures different aspects of light,” said Yiming Gong, who helped lead the project as a doctoral student in the U-M Department of Physics. “But this originates from a very fundamental level of physics, which is the interference between different optical absorption processes.”

 

The researchers showed they could induce the orderly flow of electrons through a semiconductor using two different colors of light. By rotating the polarization of the two optical fields—the direction that the light waves wiggle—the researchers could also control the direction of the electronic current.

 

“This isn’t the way things normally work. When you think about electrons moving through a material, they’re moving because you’ve applied an electrical field and they actually bounce around and drift across the materials. Here, using light, you can actually sort of squirt the electrons in a specific direction without applying an electric field,” said U-M physicist Steven Cundiff, senior author of the team’s report.

 

Although previous work had shown the ability of light to get electrons flowing with light alone, this work goes a step further and shows the light gets electrons flowing in a narrow beam in a specific direction.

 

“The light no longer merely switches the current on; it also aims it,” Cundiff said.

 

Cundiff likens this to a lighthouse, which sweeps a beam of light by rotating its lamp. Here, the beam is made of electrons and that beam can be rotated by rotating the polarization of the two phase-coherent optical fields.

 

The phenomenon relies on quantum interference, which arises when two colors of light drive different absorption pathways to the same final state. The light transfers energy to the semiconductor material in discrete, or quantized, packets called photons, which mobilize the material’s electric charge carriers.

 

In the set-up, the incident light is absorbed by two routes at once, and the routes can be thought of as overlapping ripples, Cundiff said. Those ripples line up and enhance each other for electrons traveling a certain direction, but cancel each other out for electrons moving in other directions.

 

A collaborator on an earlier project, J.E. Sipe of the University of Toronto, had predicted it would be possible to create such an “electron lighthouse.” Now, working with the Lurie Nanofabrication Facility, Gong was able to realize such a device.

 

“The LNF is an amazing facility,” Gong said, adding it was a painstaking process to meld the device’s materials together in a way that didn’t introduce any extraneous electric fields.

 

“That was the biggest puzzle to solve for me, because there isn’t a standard way to do that. So I worked with the LNF staff to play around with different recipes and temperatures to come up with a manufacturing process.”

 

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Author: José R. Pineda got his Ph.D. from University of Barcelona in 2006. Since 2007 he has worked for Institut Curie and The French Alternative Energies and Atomic Energy Commission. Currently he is a researcher of the EHU. He investigates the role of stem cells in physiologic and pathologic conditions.

 

For decades, Alzheimer’s research has been dominated by a seemingly intuitive idea: the disease is largely explained by the accumulation of abnormal proteins in the brain, primarily beta-amyloid and tau. However, while this view has been useful, it has fallen short in explaining certain fundamental aspects. One of the most striking is that Alzheimer’s affects women far more than men. This is not a minor difference: roughly two-thirds of cases occur in women, and the clinical progression tends to be faster and more severe. The work by López-López and colleagues addresses this imbalance from a different angle. Instead of focusing exclusively on protein accumulation, it shifts attention to the brain’s immune system—specifically to a molecular pathway known as interferon signaling. What the study proposes is that the brain’s immune response, far from being a mere bystander, could be a central driver of the disease, and one that operates differently in men and women ¹.

To understand the importance of this idea, it helps to briefly consider what interferons are. They are molecules that form part of the body’s first line of defense against infections, especially viruses. They activate genetic programs that help cells detect and neutralize threats. Under normal conditions, this system is essential for survival. The problem arises when it becomes chronically or inappropriately activated, as is the case in several inflammatory diseases ². So, the study begins with an analysis of human brain tissue from Alzheimer’s patients. Using transcriptomics (techniques that measure the activity of thousands of genes at once) the authors identified a clear pattern: in the brains of women with Alzheimer’s, genes associated with the interferon response were much more strongly activated than in men (Figure 1). This pattern was not explained by differences in disease severity, since both groups showed comparable levels of neuropathological damage. Instead, it points to an intrinsic difference in how the brain responds to the disease. This finding is significant because it suggests that women not only develop Alzheimer’s more often, but may do so through a partially distinct biological pathway. In other words, the same clinical diagnosis may conceal different underlying mechanisms depending on sex.

To move beyond correlation and explore causality, the researchers turned to animal models. They used genetically modified mice (APP/PS1), widely employed in Alzheimer’s research because they develop amyloid plaques similar to those seen in patients. Once again, the same pattern emerged: female mice showed much stronger activation of the interferon pathway, along with increased brain inflammation, neuronal damage, and functional impairment. An especially interesting point is that these differences were not limited to amyloid plaque levels. Indeed, female mice did have more plaques, but the study shows that neuronal damage and inflammation cannot be explained solely by amyloid accumulation. This supports a growing idea in the field: that Alzheimer’s toxicity depends not only on protein buildup, but also on how the brain responds to it. In this context, microglia (the brain’s resident immune cells) become key players. Cell-level analyses revealed that these cells are the main drivers of interferon activation. In essence, microglia detect signals of damage or stress and launch an inflammatory response which, if sustained over time, can ultimately harm neuronal tissue. To test whether this pathway is not only associated with disease but actually contributes to it, the authors performed direct manipulation experiments acutely activating interferon signaling in healthy animals using an immune stimulus. To do that, they did intraperitoneal administration of polyinosinic:polycytidylic acid (poly(I:C)) to induce inflammation, but also they performed crossings between the APP/PS1 mice and a microglia-specific Rela conditional knockout line (AD hiIFN). The result was striking: within hours to days, the brains of these animals began to show changes resembling Alzheimer’s pathology, including altered neuronal activity, synaptic disruption, and markers of axonal damage. This results suggest that activation of this pathway is not a secondary phenomenon, but may be sufficient to induce key features of the disease. In parallel, the researchers performed the inverse experiment: they chronically enhanced interferon signaling in microglia within APP/PS1 mice (an Alzheimer’s disease model). This led to a worsening of neurodegenerative features, even though, paradoxically, amyloid plaque levels did not increase—and in some cases even decreased. This last finding is particularly revealing because it challenges a widespread assumption: that fewer plaques necessarily means a healthier brain. Here, the opposite happens!! The animals had less amyloid burden, yet more neuronal damage and worse function. This points to inflammation, and specifically interferon signaling, as an independent driver of degeneration.

Next, the key question is whether this pathway can be targeted therapeutically. To address this, the study explores a pharmacological intervention aimed at the cGAS–STING pathway (a molecular system that senses cellular damage and triggers interferon production). Using a specific inhibitor (STING inhibitor C-176), the researchers demonstrated by RNA-seq and immunohistochemistry that the treatment was able to reduce interferon signaling in the brain. The results were consistent: inflammation decreased, neuronal integrity was better preserved, and cognitive performance improved in memory tests (very important from the therapeutic and functional perspective). More importantly, these effects were far more pronounced in females, which aligns with the idea that this pathway is more active in them and therefore more impactful when blocked. Notably, these improvements occurred without significant changes in amyloid plaque levels. Once again, the conclusion is clear: modulating the immune response may be as important as, or even more important than, targeting protein aggregates. Taken together, this work proposes a shift in how Alzheimer’s is understood. Rather than viewing it solely as a disease of protein accumulation, it suggests it is also—critically—a disorder of immune dysregulation. More specifically, one in which excessive interferon signaling plays a central role, particularly in women.

The practical implications are twofold. First, it opens the door to therapies that modulate immune pathways in the brain, something already feasible in other diseases using drugs that target similar mechanisms. Second, it highlights the importance of incorporating sex as a biological variable in both research and treatment design. What works in men may not work the same way in women, and vice versa. As with any preclinical study conducted in mice we must be cautious when extrapolating to humans: results in animal models do not always translate directly, and manipulating the immune system carries inherent risks, given its essential role in protecting against infections. However, the value of this work lies not only in its potential clinical applications, but in the conceptual framework it offers.

By identifying interferon signaling as a key factor in sex-specific vulnerability to Alzheimer’s, the study provides a mechanistic explanation for a long-observed but poorly understood phenomenon. Perhaps more importantly, it suggests that intervening in this pathway could alter disease progression even without changing classical amyloid pathology. In a field where many clinical trials have failed by focusing solely on plaque removal, this perspective is not just novel, it may be necessary to explore it in the future.

 

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Building electronic devices often requires stacking different crystalline materials on top of one another with atomic precision. This process, called heteroepitaxy, works best when the two crystals share similar atomic patterns. When their symmetries differ, the upper crystal tends to grow in several orientations at once instead of a single one, creating defects that degrade device performance. Engineers have long dealt with this problem by treating the surface of the lower crystal beforehand, for example by etching steps into it, exposing it to plasma, or adding a buffer layer, to help the two materials bond more effectively. Now, a team of researchers explores ¹ a different route: rather than forcing the two crystals to fit together, it takes advantage of a crystal that is naturally flexible at the atomic scale.

Flexible by design

The material at the center of this approach is a layered compound called TaCo₂Te₂. Like graphite, its layers are held together by weak van der Waals forces, which makes it easy to combine with other materials without demanding a perfect chemical match. Unlike most layered crystals, though, its atoms are not arranged in a perfectly regular pattern. At room temperature they undergo a small, periodic shift known as a Peierls distortion, a phenomenon first described in the 1930s by the physicist Rudolf Peierls, who showed that in some materials the electrons and the surrounding lattice can lower their combined energy by nudging atoms slightly out of their ideal positions. When TaCo₂Te₂ is heated above about 523 kelvin, or 250 degrees Celsius, this distortion disappears and the crystal adopts a more symmetric structure, although traces of the original pattern linger as fleeting, temperature-driven fluctuations.

These fluctuations are not random. Calculations of how the crystal vibrates, backed up by Raman spectroscopy and electron diffraction experiments, show that the lattice is especially unstable along one crystallographic direction, meaning atoms can shift more easily there than in the perpendicular direction. This directional softness turns out to be the key ingredient that controls how a second material grows on the surface.

Heating TaCo₂Te₂ also sets its atoms in motion across the surface. Tantalum atoms drift away, while cobalt and tellurium reorganize into a thin crystalline layer whose composition resembles cobalt telluride. Rather than clumping into isolated islands, this new layer spreads sideways first and only then thickens, producing a smooth, continuous interface with the crystal beneath it, a layer-by-layer growth style that electron microscopy confirms is energetically favorable.

Directionally locked

The most striking result is that the new crystal does not settle into just any orientation. Even though its symmetry differs from that of the underlying TaCo₂Te₂, it becomes directionally locked. Along one in-plane direction, the atomic spacings of the two materials match closely, giving a tight, well-ordered registry. Along the perpendicular direction the mismatch is far larger, but this happens to be exactly the direction where TaCo₂Te₂ is most flexible, thanks to its lattice instability. Instead of rotating to relieve that mismatch, as symmetry-mismatched interfaces typically do, the interface absorbs it through a gentle, ongoing structural adjustment. The result is a crystal that stays aligned while only one direction bears most of the strain.

That flexible direction does not settle into a simple repeating pattern either. Instead, it forms what is called a one-dimensional incommensurate superlattice: the repeating atomic spacings of the two crystals never line up exactly, yet they stay locked together over long distances. Physicists have long recognized this kind of arrangement as an efficient way to accommodate mismatched lattice spacings without piling up large numbers of defects, since the strain is spread out through a slowly changing modulation rather than concentrated at sharp boundaries. Diffraction measurements and a geometric analysis of the two lattices both confirm that no perfectly repeating, shared lattice can account for what is observed, so the incommensurate description fits best.

Directional lattice instability is key

To check that the lattice instability is truly responsible for this behavior, the same experiment was repeated with a closely related compound, TaNi₂Te₂, which has nearly the same crystal structure but lacks the structural instability. Under similar heating, a surface layer still forms, but its orientation varies from spot to spot, and rotational disorder sets in. This comparison shows that matching crystal symmetry is not enough on its own to produce a locked, well-ordered interface. The directional lattice instability is the extra ingredient that guides the growth.

The local reconstruction effect

One more effect helps stabilize the interface. Even above the temperature where the bulk crystal should be fully symmetric, the atomic layers right beneath the interface partly slip back into the low-temperature distorted structure. This local reconstruction stays confined to the surface rather than spreading through the whole crystal, and it appears to strengthen the bond between the two materials, keeping the aligned structure stable even at high temperature.

As we have just seen, structural instabilities, usually considered as a liability because they signal that a crystal is on the verge of changing shape, can instead become useful design tools. A substrate whose atoms rearrange more easily in certain directions can guide the growth of otherwise incompatible materials, producing well-aligned interfaces without extensive surface treatment. This idea could widen the range of material combinations available for future electronic, optical, and quantum devices, where the atomic arrangement at an interface often determines how well the whole device performs.

Author: César Tomé López is a science writer and the editor of Mapping Ignorance

Disclaimer: Parts of this article may have been copied verbatim or almost verbatim from the referenced research paper/s.

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Auhtors: Samantha Lawler, Associate Professor, Astronomy, University of Regina and Aaron Boley, Professor, Physics and Astronomy, University of British Columbia

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Sugars are key biomolecules in living organisms, as they form the backbone of DNA and RNA and play a fundamental role in metabolic processes. In theories of the origin of life, sugars are also essential for the synthesis of the first nucleic acids. Despite their importance, one of the major questions in origin-of-life research is how the first sugars formed on Earth, since laboratory experiments show that they do not form in enough quantities under prebiotic conditions. Sugars such as ribose and glucose have previously been detected in meteorite and asteroid samples, suggesting that some of these molecules may have originated in the primordial molecular cloud from which our Solar System formed. However, until now, no sugar had ever been directly detected in the interstellar medium.

An international team led by Centro de Astrobiología (CAB, CSIC-INTA) researcher Izaskun Jiménez-Serra has now identified ¹ the first sugar in interstellar space: erythrulose. This molecule is the only possible four-carbon ketose, and on Earth it is commonly found in raspberries and sunless tanning products. Erythrulose was detected toward the molecular cloud G+0.693−0.027, located near the centre of our Galaxy, the Milky Way. The discovery was made possible by ultra-sensitive, broadband spectroscopic surveys carried out with the 40-m Yebes radio telescope and the 30-m telescope of the Institute for Radio Astronomy in the Millimeter Range (IRAM).

The team identified 12 spectral lines matching the laboratory spectrum of erythrulose measured at the University of the Basque Country. The study also shows that this sugar is at least eight times more abundant than similar three-carbon sugars, none of which were detected in the same region. “This finding was unexpected, as the prevailing view in astrochemistry is that interstellar molecules grow in size through the sequential addition of carbon atoms”, says Izaskun Jimenez-Serra.

Working in collaboration with chemists from the University of Extremadura and Radboud University (the Netherlands), the CAB team discovered that erythrulose can form within interstellar ices from simpler two-carbon alcohols and aldehydes.

Based on the abundance of erythrulose measured in the G+0.693−0.027 molecular cloud, the researchers estimate that between 0.5 and 50 million tonnes of this sugar could have reached Earth’s surface during the Late Heavy Bombardment, which occurred approximately 4.1 to 3.8 billion years ago. The presence of erythrulose in interstellar space therefore provides an alternative source of sugars that may have contributed to the emergence of the first metabolic and replication processes on the early Earth.

“The detection of erythrulose is very exciting because it opens up the possibility of discovering in space other sugars such as ribose, which is part of RNA, and other important molecules for the origin of life,” says Carlos Briones, co-author of the study.

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What if we could stop blood cancers before they even start? New research reveals ¹ that chronic inflammation dramatically reshapes the bone marrow environment years before leukemia emerges, potentially offering a window for early intervention.

The Hidden Life of the Bone Marrow

Every second, your bone marrow produces millions of new blood and immune cells through delicate cooperation between blood stem cells and supportive stromal cells. Over time, aging, inflammation, or genetic mutations can disrupt this partnership, allowing mutated stem cells to silently expand.

This leads to a condition called clonal hematopoiesis, or CHIP, which affects roughly 10–20% of adults over 60 years old. Despite the lack of symptoms, the condition increases blood cancer risk tenfold and doubles the risk of cardiovascular disease. In some cases, it can progress to myelodysplastic syndrome, where bone marrow fails to produce healthy blood cells, and up to 30% of these advance to acute myeloid leukemia—an aggressive and often fatal blood cancer.

Uncovering the Culprit: Inflammation

Researchers conducted an in-depth molecular analysis of human bone marrow samples from healthy donors, people with CHIP, and patients with myelodysplastic syndrome (leukaemia). Using advanced techniques including single-cell sequencing and biopsy imaging, they built a high-resolution map of the bone marrow environment across these different stages.

The results revealed a striking cellular transformation beginning well before clinical disease appears. Researchers identified inflammatory stromal cells instead of normal stem-cell-supporting cells. Unlike healthy stromal cells, these inflammatory cells release signaling molecules that attract and activate certain immune cells (T cells). In turn, these T cells amplify the inflammatory signal, creating a self-reinforcing loop that sustains chronic inflammation, suppresses healthy blood formation, and promotes abnormal blood vessel development.

Surprisingly, the mutated blood cells do not directly drive inflammation. Instead, the inflammatory network in the surrounding microenvironment becomes dominant, replacing much of the bone marrow’s regenerative structure. As diseased stem cells also fail to trigger production of important signaling molecules, this could explain why bone marrow function deteriorates.

This discovery indicates inflammation has a central force in early blood disease stages and establishes the bone marrow microenvironment as a critical therapeutic target. Based on these findings, anti-inflammatory treatments may help preserve bone marrow function in older adults with CHIP. In addition, the distinct molecular signatures of these inflammatory cells may serve as biomarkers to identify at-risk individuals long before clinical symptoms emerge, possibly preventing progression to leukemia.

What I find particularly interesting about the research is that it shows yet another example of how deadly chronic infammation can be. I would not be surprised if the incidence of this disease were to increase in the next years, as we are most living under chronic stress conditions, which is one of the biggest contributors to chronic inflammation. To me, this is more of a health issue, it is a social issue and to get rid of it, we need much more than antiinflammatory drugs.

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Enzymes and other biomolecules are often anchored onto solid materials so they can be reused, purified more easily, and made more stable, a strategy biotechnology has relied on since industrial-scale immobilized enzymes first appeared in chemical manufacturing in the mid-twentieth century. Immobilized enzymes today drive processes from food and pharmaceutical production to biosensors and medical diagnostics. Fixing a biomolecule in place, however, is not as simple as gluing it down. The exact spot where it attaches, the direction it faces, and how much freedom it retains to move can all change how well it works. Testing every possible arrangement in the laboratory is slow and costly, which is why computer simulation has become such a valuable complement to experiments.

The Martini force field

One of the main tools for this kind of study is molecular dynamics simulation, which calculates how atoms move over time by applying the basic laws of physics. Simulating every single atom of a protein, its surrounding water, and a supporting material gives rich detail, but is extremely demanding on computing power, especially when many attachment geometries need comparing. A widely used shortcut is coarse-grained modeling, in which small clusters of atoms are grouped into single, simplified particles. This keeps the essential physical behavior of the system while making the calculations far cheaper. The most established coarse-grained approach for biological molecules is the Martini force field, first developed in 2004 to describe fatty, membrane-forming molecules and later extended to proteins and, more recently, to a more accurate third generation of the model. Martini has since become a standard tool for simulating large biological assemblies that would otherwise be out of reach.

Introducing MartiniSurf

A team of researchers now introduces MartiniSurf ¹, an open-source software package that automates the preparation of these coarse-grained simulations for biomolecules attached to surfaces. Building such a system by hand normally involves several separate programs and many manual steps, which makes it hard to reproduce results or compare different setups fairly. MartiniSurf instead combines the whole process into a single, streamlined workflow. Starting from the structure of a protein or a DNA strand, it converts the molecule into its coarse-grained form, builds a model of the supporting surface, positions the molecule in a chosen orientation, adds water and dissolved ions, and produces all the files needed to run the simulation with GROMACS, a molecular dynamics program that has been developed and refined for decades. Because every step is controlled by explicit settings rather than manual adjustments, two researchers using the same settings should obtain the same starting system, making comparisons across studies far more reliable.

Restraining forces or linkers

A central feature of the software is its flexibility in representing how a biomolecule is attached. In one mode, selected regions of the molecule are held near the surface through simple restraining forces, without modeling the physical connector itself. In another mode, an explicit molecular linker is placed between the biomolecule and the surface, so that the linker’s own length and flexibility can influence the simulation. Because the properties of such linkers are known to affect how active and stable an attached enzyme remains, this second option offers a more realistic picture whenever the necessary coarse-grained description of the linker is available.

Variety of supporting surfaces

The supporting surfaces themselves can also be varied widely. The software can generate simple flat reference surfaces or draw on previously developed coarse-grained models of real materials such as graphene, graphite, carbon nanotubes, and agarose-like gels, the type of porous material commonly used to immobilize enzymes in the laboratory. Properties such as surface chemistry, electric charge, particle spacing, and added chemical groups can all be adjusted. Recent studies have shown that surfaces built without care can cause water molecules near the interface to line up in unrealistic, almost frozen patterns, an artifact rather than genuine physical behavior. The software includes options that let users introduce controlled irregularity into the surface to reduce this problem, while staying consistent with the wider Martini modeling framework.

In practice

To demonstrate how the approach works in practice, the study presents examples involving both proteins and DNA. For an enzyme attached to an agarose-like surface, the software reproduces several different attachment arrangements, including a complete system containing the enzyme together with its natural helper molecule and reaction substrate. These examples show how changing the attachment point or adding chemical groups to the surface can be explored systematically, without needing to reconstruct every model from scratch by hand.

The approach is also extended to DNA tethered to a graphene-like surface, comparing an electrically neutral surface with a positively charged one. The coarse-grained simulations reproduce the same general behavior previously reported in much more computationally demanding all-atom studies: the DNA strand remains mostly upright above the neutral surface but bends progressively toward the surface when it carries a positive charge, drawn in by electrostatic attraction. This comparison is not meant to reproduce exact experimental values, but rather to confirm that the automated setup captures the right physical trends, providing a check on the reliability of the workflow.

Reproducibility

Every simulation generated by the software automatically records the settings, software versions, and modeling choices used to build it, so that another researcher can repeat or directly compare a given calculation later. Importantly, the software does not introduce new physical models or new force-field parameters of its own. Instead, it draws on already validated Martini tools and organizes them into a consistent, automated pipeline.

Overall, MartiniSurf addresses a practical bottleneck in computational chemistry rather than proposing a new simulation method. By automating the construction of surface-bound protein and DNA systems, it makes coarse-grained molecular dynamics studies faster to set up, easier to reproduce, and simpler to scale across many attachment geometries. This kind of tool should make it easier to systematically study how surface properties, attachment geometry, and molecular flexibility shape the behavior of immobilized biomolecules, supporting the design of better catalysts, biosensors, and other biotechnology applications.

Author: César Tomé López is a science writer and the editor of Mapping Ignorance

Disclaimer: Parts of this article may have been copied verbatim or almost verbatim from the referenced research paper/s.

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Author: Marta Irigoyen is a postdoctoral researcher at CIC bioGUNE

Chimeric antigen-specific receptor (CAR) T-cell immunotherapy targeting B-cell maturation antigen (BCMA; BCMA-CAR T cells) has produced remarkable clinical responses in advanced multiple myeloma (MM), with a substantial fraction of patients achieving complete remission ¹. However, many patients relapse within months, largely due to insufficient CAR T-cell persistence, a recognized mechanism of acquired resistance ². A major barrier to durable responses is the tumor microenvironment (TME), which is profoundly reshaped by tumor metabolic reprogramming ³. In fact, many tumor types, specially MM, are highly dependent on glutamine (Gln) metabolism for cell survival and proliferation ⁴. Thus, Gln “addiction” depletes local Gln levels and availability, impairing antitumor T-cell effector functions and promoting immune escape.

Based on these observations, a team of researchers hypothesized ⁵ that Gln deprivation within the TME limits the efficacy of CAR T-cell therapies. Indeed, antigen-specific T cells fail to proliferate and to produce interferon gamma (IFN-γ) under Gln-restricted conditions. They therefore investigated whether enhancing Gln uptake via overexpression of the Human SLC1A5 (ASCT2) amino acid transporter could improve the metabolic fitness and the antitumor activity of BMCA-CAR T cells in MM.

To assess the functional impact of ASCT2 overexpression in T cells, the authors infected CD8⁺ and CD4⁺ T cells from mice with an expression vector containing Asct2. To assess the impact of enhanced Gln uptake on T-cell function, CD4⁺ and CD8⁺ T cells from mouse spleens were stimulated with anti-CD3/CD28 beads at varying Gln concentrations. Interestingly, Asct2 overexpression significantly improved T-cell proliferation and IFN-γ production. Similar enhancements were observed in CD8⁺ OT-I (these cells contained a transgenic TCR designed to recognize ovalbumin (OVA) peptide 257-264 on MHC class I, modeling thus cytotoxic T-cell responses) and CD4⁺ OT-II T cells (these cells contained a transgenic TCR designed to recognize OVA peptide 323-339 on MHC class II, modeling the helper T-cell responses). Thus, Asct2-overexpressing OT-I T cells showed increased cytotoxicity against B16OVA cells. B16OVA cells are a well established in vitro model for cancer immunotherapy, expressing ovalbumin in order to facilitate strong immune responses to tumor antigens. The authors found that, even at low Gln levels, Asct2-overexpressing CD4⁺ OT-II T cells were more efficient lysing B16OVA cells.

Next, to assess the potential of Asct2 overexpression to enhance ACT therapy in vivo, B16OVA tumor-bearing mice were treated with either control or Asct2 CD8⁺ OT-I T cells. Interestingly, 14 days after tumor injection they found lower levels of Gln in the interstitial fluid, confirming a Gln-deficient TME. Then, mice were subcutaneously injected with B16OVA cells and, 7 days later, treated with control or Asct2 CD8+ OT-I T cells. Remarkably, mice treated with Asct2 CD8⁺ OT-I T cells exhibited a delay in tumor growth as evidenced by tumor weight and survival rate analysis. Moreover, mice treated with Asct2 CD8+ OT-I T cells showed a higher number of IFN-γ–producing antigen-specific T cells in the spleen compared with control T cells.

Given the well-established Gln “addiction” of MM ⁶ and the consequent Gln depletion in the bone marrow (BM), the authors next evaluated whether Asct2 overexpression in BCMA-CAR T cells could improve Gln uptake and potentially benefit CAR T-cell immunotherapy in MM. Because MM expresses BCMA, they generated a murine anti–Bcma-CAR T-cell therapy effective against MM in vivo. They tested whether Asct2 overexpression could improve their efficacy in vivo and observed that Bcma-CAR cells exhibited robust proliferation and high IFN-γ secretion when stimulated with Bcma. Besides, subsequent co-culture experiments with Bcma-expressing MM cells confirmed that Bcma-CAR T cells selectively secreted IFN-γ, and displayed cytolytic activity against MM cells. Replacement of the GFP reporter with ASCT2 yielded BCMA-CAR/ASCT2 T cells with enhanced Gln transport capacity. In coculture assays, ASCT2-expressing BCMA-CAR T cells exhibited superior cytolytic activity against MM cells, particularly under low-Gln conditions.

To evaluate if Asct2 overexpression could enhance ACT immunotherapy with Bcma-CAR T cells in vivo, they used a murine model in which mice were challenged with MM cells and treated IV with CD8⁺ and CD4⁺Bcma-CAR T cells (1:1 ratio) or Asct2 Bcma-CAR T cells. Interestingly, Asct2 Bcma-CAR T cells significantly improved overall survival (OS) in mice challenged with tumors, achieving 90% survival at day 100 after treatment. Besides, fourteen days after CAR T-cell transfer, there was a significant reduction in tumor cells in the BM of both CAR T-cell–treated mice groups, being more significant in the BM of mice treated with Asct2 Bcma-CAR T cells compared with those treated with Bcma-CAR T cells. Moreover, there was a higher number of infiltrating CAR T cells in both the spleen and BM of mice receiving Asct2 Bcma-CAR T cells. Then, they next evaluated the antitumor effect of the Bcma-CAR T cells in a genetic MM preclinical model that closely mimics common genetic alterations observed in human MM and, similarly, treatment with Asct2 Bcma-CAR T cells significantly enhanced OS compared with conventional Bcma-CAR T cells.

 

Finally, the authors explored the clinical relevance of ASCT2 expression in MM. RNA-seq analysis of BM aspirates of untreated patients with MM compared ASCT2 expression levels in various B-cell subtypes obtained from healthy donors as previously described, showed a marked upregulation in MM cells compared with normal B-cell subsets, suggesting a potential prognostic relevance of ASCT2 expression in MM. Next, to explore the clinical relevance of ASCT2 overexpression in human CAR T cells, they created 2 lentiviral constructs encoding an antihuman BCMA-CAR. They prepared a conventional BCMA-CAR and the ASCT2 BCMA-CAR construct coexpressing ASCT2. Notably, ASCT2 BCMA-CAR T cells showed greater proliferation and higher IFN-γ production upon BCMA stimulation at various Gln concentrations, and they had a higher proportion of naïve stem cell memory and central memory subsets. To further demonstrate the importance of ASCT2, they performed cytotoxicity assays with BCMA-CAR T cells against tumor cells with different ASCT2 levels. Silencing ASCT2 in MM cells reduced Gln uptake and confirmed the functional importance of this transporter in tumor–immune metabolic competition.

 

In summary, Asct2 overexpression enhances T-cell and CAR T-cells metabolic fitness and effector function under Gln-restricted conditions. In both B16OVA melanoma and MM in vivo tumor models, this strategy improved antitumor immunity and increased overall survival. These findings support metabolic engineering of CAR T cells as a rational approach to overcome nutrient deprivation in the TME an to enhance durable tumor control.

 

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Artificial intelligence is increasingly being used to solve the mathematical equations that describe the physical world, not only to recognize images or generate text. One promising approach, developed over the last decade, is the physics-informed neural network, or PINN: a type of neural network trained not on labeled examples but on the governing equations of a physical system. Instead of learning from many recorded solutions, the network learns by minimizing how badly its output violates the equation it is meant to satisfy. This makes it possible to obtain solutions when little or no experimental data exist even in high dimensions, which is why the approach has attracted so much attention across physics and engineering.

A new study applies ¹ the idea to the simulation of acoustic waves of geophysical interest, like seismic imaging subsurface exploration. All of these applications rely on the Helmholtz equation, named after the nineteenth-century physicist Hermann von Helmholtz, which describes how a wave spreads out once its frequency is fixed. Higher frequencies mean more rapid oscillation, and more rapid oscillation is far harder to compute accurately. Conventional numerical methods handle this by using extremely fine computational grids, which quickly become slow and expensive as the frequency rises.

Neural networks offer an appealing alternative because they need no such grid, but they come with a stubborn flaw. Left to their own devices, they learn smooth, slowly changing patterns long before they learn rapidly oscillating ones, a well-documented tendency known as spectral bias, or low-frequency bias. For wave problems, where the interesting behavior is exactly the rapid oscillation, this bias means standard PINNs can take a very long time to train and often still miss fine detail.

Gabor-embedded PINN

The new approach addresses this by building oscillation into the network from the start, using Gabor functions. A Gabor function pairs a wave-like oscillation with a Gaussian envelope that fades toward zero away from its center, so the oscillation stays confined to a small region of space. These functions were introduced in 1946 by the Hungarian-British engineer Dennis Gabor, who later won the Nobel Prize in Physics for inventing holography, as a way to describe signals that are localized in both time and frequency; the same mathematical shape turns out to suit wavefields just as well. Instead of asking the network to invent every oscillation from nothing, the method hands it oscillations that already look like waves and asks it only to work out how they should be positioned and combined across space.

The central innovation is in how that positioning is learned. Rather than having the network output the wavefield directly, it is trained to output a transformed set of coordinates, and the Gabor functions applied in that transformed space produce the final oscillating solution. This shifts the burden of representing the wave’s fine structure into a coordinate mapping, which turns out to be much easier for the network to learn smoothly. Earlier attempts to combine Gabor functions with neural networks needed extra networks or additional parameters to control the position and strength of each function, adding complexity and, at times, instability during training. The new formulation avoids this: it needs no additional trainable parameters beyond what a conventional network of the same size would already have.

An absorbing boundary

A second contribution deals with the edges of the simulated region. Real waves can travel forever, but any simulation must stop somewhere, and naive boundaries send waves bouncing back into the domain as unwanted reflections. The established solution, first devised in 1994 for electromagnetic wave simulations and since adopted across many wave-based numerical methods, is a perfectly matched layer: a boundary region that gradually absorbs outgoing waves instead of reflecting them. Applying this technique inside a neural network training scheme usually calls for cumbersome complex-number arithmetic; the study works around this by splitting the calculation into separate, real-valued components and by supplying an approximate mathematical formula for the wave that would exist in a uniform medium, which keeps the training efficient without sacrificing accuracy near the boundary.

Fewer training steps, better results

The method was tested across velocity structures of increasing complexity, from a simple layered medium to benchmark models resembling real, geologically folded terrain, and across a range of frequencies. In every case it was compared against an otherwise identical standard network trained the same way. It consistently reached accurate results in far fewer training steps, produced smaller errors, and stayed stable even when the network’s size or the random starting values of its weights were changed, an area where conventional networks, and earlier Gabor-based attempts by other researchers, tended to falter. The gap was largest precisely where standard methods struggle most: at higher frequencies.

Notably, these improvements did not come from making the network bigger. They came from embedding a piece of mathematical knowledge about how waves behave directly into the network’s structure, freeing its limited capacity to focus on learning spatial relationships rather than reinventing basic oscillations over and over. Because the Helmholtz equation also governs electromagnetic waves and other oscillatory phenomena, the same strategy could plausibly extend beyond acoustics, provided the physical equations involved are adapted accordingly. Combining mathematical structure with machine learning can produce methods that are simultaneously faster, more accurate, and less computationally demanding than relying on general-purpose neural networks alone.

 

Author: César Tomé López is a science writer and the editor of Mapping Ignorance

Disclaimer: Parts of this article may have been copied verbatim or almost verbatim from the referenced research paper/s.

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Author: Jaume Navarro is an Ikerbasque Research Professor at the University of the Basque Country

A few weeks after the invasion of Ukraine by the Russian army, many scientific institutions felt the need to issue public statements against that war. At the time, I was president of the Commission for the History of Physics within the International Union of Pure and Applied Physics (IUPAP) and, as such, I took part in the discussions leading to the final declaration. The timing could not be better for historians of science to make a significant, albeit small, contribution: my commission was working on a project to seriously study the origins and development of IUPAP, which was about to celebrate its centenary. Paying attention to history was important so as to articulate a statement that would avoid past mistakes and incorporate positive experiences of the Union in its one-hundred-year history. Because, like other scientific international unions, IUPAP was born with an idea of peace in mind, yet it had to maneuver through times of war, both hot and cold.

 

It was after the tragedy of the Great War (1914-1918) that a new wave of internationalism in science took shape. If excessive nationalism had drawn Europe to its worse carnage in history, so the argument went, it was time for international institutions to collaborate in the construction of peace. And scientific research, understood as a cultural enterprise, was one such area in which collaboration rather than competition was to play a key role. In hindsight, one of the ironies of this search for peace was that the losers (Germany, Austria, Hungary, Bulgaria, and what remained of a now highly unstable Ottoman Empire) both collectively and individually, were banned from taking part in the new international order. That meant not only that their national academies could not join the new international unions, but also that individual scientists from those countries were excluded from meetings and collaborations sponsored by the unions. This was particularly poignant in the case of physics.

 

Indeed, international collaboration had a somewhat long tradition in fields like astronomy or geodesy due to the global scale of some of their research projects. But physics, while the “king of the sciences” in the nineteenth century, had not seen the international cooperation of national academies in the same way. That partly explains why, with the creation of the International Research Council (IRC) by delegates of twelve nations in July 1919, the International Unions of Astronomy (IAU), Geodesy and Geophysics (IUGG) and Pure and Applied Chemistry (IUPAC) immediately approved their initial statutes, soon to be followed by the Mathematical Union (IMU) and the Union for Scientific Radio Telegraphy (URSI); yet, a union of physics would have to wait, both in form and, especially, in practice.

 

In 1922, a number of physicists from France, Belgium, Britain, the USA and a few other countries met in Paris and came up with a first draft of statutes for an International Union of Physics. It was the young American experimentalist, Robert A. Millikan, who pushed for a name that included both pure and applied physics. The main goals of the Union were the promotion of up-to-date scientific bibliographies, the coordination of fundamental units, and the organization or sponsorship of international conferences. Those present at the meeting to celebrate the fiftieth anniversary of the Société française de physique (SFP) in Paris in December 1923 finally approved the statutes of IUPAP nominating the British and Nobel prize winner William H. Bragg as president, and Henri Abraham, professor of physics at the École Normale Supérieure, as secretary general. But it was informally agreed that the Union would remain basically dormant until it could be fully international; i.e., include German physicists.

By 1924, the vindictive philosophy of the IRC against the Central Powers was being challenged. The Council had grown and now included national academies from up to twenty countries, mostly neutral during the war and who did not see the need for such exclusionary policy. Also, an increasing number of individual scientists were pushing towards a more reconciliatory and inclusive internationalism. French and Belgian representatives were the most reticent to amend the statutes of the IRC and lift the foundational ban. So much so that real changes only came in 1931 when the IRC dissolved and the new International Council of Scientific Unions (ICSU) took its place. From then on, not only was internationalism a real possibility but also each individual scientific union was freer to organize itself as they saw fit.

 

In the 1920s, however, internationalism in physics materialized in other forms. Two are the best-known and most influential institutions on this aspect: the Solvay Conferences and Niels Bohr’s Institute for theoretical physics in Copenhagen. The former were the initiative of the Belgian industrialist Ernest Solvay to promote relatively small, truly international, by-invitation-only conferences to address pressing issues in both physics and chemistry. After the success of the first two meetings in physics in 1911 and 1913, the third and fourth Solvay meetings in 1921 and 1924 took part in the boycott against the Germans. But, by 1927, the mood had changed and the fifth Solvay conference in Brussels, which eventually became one of the most influential events in shaping the transformation of the early quantum physics into the new quantum mechanics, saw the presence of five German physicists: Max Planck, Albert Einstein, Wolfgang Pauli, Werner Heisenberg and Max Born. In a way, that success was partly due to the tradition that Bohr had managed to create in his institute in Copenhagen. Indeed, Denmark had been a neutral country during the war and the Carlsberg Foundation had generously funded a research center for theoretical physics to keep Bohr in the country. Thanks to both elements, Copenhagen became the central point for physicists and mathematicians to meet and freely exchange ideas on the new quantum physics.

 

But let us go back to the early history of IUPAP because, while Bohr had played a significant role in bringing together physicists from both sides of the war, he was also partly responsible for the failure of IUPAP to take off. In 1931, Bragg resigned and Millikan was appointed president. His plan was to use his tenure as a springboard for American physicists to become more and more internationally relevant, as well as to materialize the inclusion of the German physical society into IUPAP. He expected to achieve both goals with the organization of a major international physics conference in Chicago in 1933, year in which the wind city was celebrating its centenary. With the presence of a large number of invited physicists IUPAP might finally formalize the German membership.

Millikan’s grand plan did not succeed. First, the recession after the crash of 1929 affected the organization of events during the “Century of Progress” celebrations and money to invite scientists from abroad was short. Second, IUPAP and all other unions had one national scientific institution representing the country. But Germany had two such societies, the Deutsche Physikalischer Gesellschaft (DPG) and Gesellschaft für Technische Physik (GTP), and the attempts by Millikan and, especially Abraham, who was still serving as secretary, in correspondence with Planck and other German representatives could not settle the question as to which German society was to represent the country in the Union. And, third, the political climate in Germany was changing and the nazi ideology taking hold of the country was certainly not keen on internationalism.

 

Chicago did finally organize a minor scientific meeting, but it was far from being the major event Millikan had envisaged to expand and consolidate IUPAP. Promoters of the Union did not, however, give up and decided to use a major physics conference organized by the British Institute of Physics and the Royal Society in both London and Cambridge in October 1934 as the place to formalize German membership. And as a sign to underline the true international character of the Union, they offered the presidency to Bohr as icon of internationalism. The correspondence between Millikan, Abraham, Bohr, Schrödinger and a few other physicists show an amusing yet sad chain of misunderstandings: Abraham and Bohr thought Millikan had accepted the presidency by misreading a telegram of the latter; but Bohr did not want to get involved unless the German membership was fully signed, not simply promised. And that never happened.

 

So, Millikan having resigned and Bohr having rejected the presidency, the soul of the dormant union was its long-serving secretary, Abraham, who worked hard to find a candidate to act as president while things were clarified. In 1937, the Swedish physicist and Nobel Prize winner Manne Siegbahn agreed to be the president of IUPAP, but the Union was still short of activities, cohesion and a clear goal. It was also the indefatigable Abraham who continued his search for ways to keep the Union alive. He proposed a conference in Copenhagen in 1938, with the support of Bohr, or in Stockholm, organized by Siegbahn or, even as late as late as May 1939 he was thinking of a conference in Paris for 1940. None of them ever materialized and World War II not only destroyed the hopes and dreams of having a fully functional and international Union of Pure and Applied Physics, but even more poignantly, ended with the life of its most ardent defendant: Abraham was murdered in Auschwitz in 1943. As we shall see in the next installment, the Union reinvented itself after the war and had to learn how to navigate the new peace of the Cold War.

 

 

Further reading:

 

Lalli, R. and Navarro, J. (2024). Globalizing Physics: One Hundred Years of the International Union of Pure and Applied Physics. Oxford University Press. [Available in open access: https://academic.oup.com/book/58182]

 

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One of the great unanswered questions in physics concerns the nature of neutrinos, the lightest known particles with mass. A process called neutrinoless double beta decay could provide the answer. In ordinary double beta decay, two neutrons inside a nucleus transform into two protons, emitting two electrons and two antineutrinos. In the neutrinoless version, only the electrons emerge. The idea has deep roots: in 1937 the Italian physicist Ettore Majorana proposed that some particles could be their own antiparticles, and two years later Wendell Furry realized that if neutrinos were such particles, double beta decay could occur without releasing any neutrinos at all. Observing this neutrinoless process today would confirm that neutrinos are indeed their own antiparticles and would show that a fundamental rule of particle physics, known as lepton number conservation, is not exact after all.

Chasing a decay that may never happen

The process, if it happens, must be extraordinarily rare. Current experiments are already sensitive to decays with half-lives greater than 10²⁶ years, far longer than the age of the Universe, and future detectors aim to probe even rarer events still.

One of the most promising technologies for this search uses xenon gas compressed to high pressure. When a charged particle moves through the gas, it ionizes xenon atoms and creates flashes of ultraviolet light. Electric fields then guide the liberated electrons toward sensors, allowing the event to be reconstructed in three dimensions. Xenon gas also allows exceptionally precise measurements of the energy deposited by the decay.

A neutrinoless double beta decay would release two electrons from a common point. As they travel through the gas, they follow winding paths and lose most of their energy at the ends of their trajectories, producing two small regions of concentrated energy deposition. This double-ended structure gives a characteristic signature that distinguishes the sought-after events from most background processes, which typically produce only a single electron track.

The main obstacle is that the drifting electrons spread out as they move through the gas. This diffusion blurs the image of the tracks, especially for events that occur far from the sensors. The amplification process used to make the faint electron signal detectable introduces further smearing. As a result, the distinctive two-electron pattern can become difficult to recognize, particularly deep inside large detectors.

ITACA (Ion Tracking with Ammonium Cations Apparatus)

An alternative approach ¹ is to image not only the electrons but also the positive ions left behind by the ionization process. Tiny amounts of ammonia (NH₃), around one hundred parts per billion, can be added to the xenon gas. Rapid chemical reactions convert the positive xenon ions into ammonium ions (NH₄⁺)almost as soon as they form, without significantly affecting the light signals or the transport of the electrons.

These ammonium ions move far more slowly than electrons and diffuse much less along the way. Electrons cross the detector in a few milliseconds, whereas the ions can take anywhere from a fraction of a second to several seconds to reach their own collection point. Because the ion cloud stays comparatively compact, it can preserve fine details of the original interaction that may already be lost in the blurred electron image.

The two effects turn out to work against each other in a useful way. Wherever an electron happens to be born close to its collecting sensors, its own image stays sharp, while the corresponding ions still have most of their long journey ahead of them and their image comes out blurred. Deep in the gas, far from the electron sensors, the opposite happens: the electron image becomes badly smeared over its long drift, but the ions in that region have only a short remaining distance to travel and arrive with their picture largely intact. Because the two blurring effects are anti-correlated in this way, at least one of the two pictures, electron or ion, stays sharp no matter where in the detector a decay occurs, keeping the overall reconstruction quality close to uniform throughout the full detector volume.

The ion image itself is recorded by letting the ions land on specially prepared molecular surfaces coated with fluorescent sensors that respond specifically to ammonium ions. When illuminated by a laser, only the molecules that have actually captured an ion light up. A microscope and camera system can then scan this surface and reconstruct the ion track with very high spatial resolution.

The researchers call this system ITACA, after Ion Tracking with Ammonium Cations Apparatus. The researchers themselves would be Penelope, waiting for a husband and king who may, or may not, appear.

Would ITACA be the final destination?

Simulations indicate that these ion images preserve the characteristic two-endpoint structure expected from neutrinoless double beta decay, even in the presence of background noise from unbound sensor molecules that occasionally glow on their own. The sharper topology this provides should make it substantially easier to reject events produced by natural radioactivity and other processes that can otherwise mimic the sought-after signal.

Taken together, the additional information carried by the ion tracks could reduce troublesome background events by roughly an order of magnitude beyond what current xenon-gas detectors achieve, and by close to a factor of twenty for some of the most problematic radioactive backgrounds, those whose energy lies dangerously close to the signal itself. Improvements of this size would substantially increase the chances of finally catching neutrinoless double beta decay in the act, and with it, the chance to learn whether the neutrino holds one of the most unusual properties in all of particle physics.

 

Author: César Tomé López is a science writer and the editor of Mapping Ignorance

Disclaimer: Parts of this article may have been copied verbatim or almost verbatim from the referenced research paper/s.

 

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For millennia, farming in Switzerland did not reduce plant diversity but helped increase it, researchers have shown in a detailed reconstruction covering the past 7000 years. Only recent decades paint a different picture.

The fall of the Roman Empire and major plague outbreaks: These events not only affected people but also reduced plant diversity on the Swiss Plateau, as human land use temporarily declined. Researchers led by Dr. Fabian Rey and Professor Oliver Heiri at the University of Basel report ¹.

 

Their analyses are based on sediment deposits in three Swiss lakes: Moossee near Bern, Burgäschisee near Herzogenbuchsee, and Hüttwilersee in Thurgau. The researchers extracted sediment cores from these lakes and then analyzed the material deposited in the sediments over the course of millennia. This allowed them to infer and date variations in both plant diversity and agricultural land use in the areas surrounding the lakes.

 

“This is an exceptionally comprehensive and precisely dated dataset,” says Oliver Heiri. “It allows us to reconstruct changes in plant diversity around the lakes over the past 7000 years at a time resolution comparable to long-term ecosystem studies in modern ecology – and for a period long before modern ecology existed.”

 

Agriculture made the landscape more diverse

 

Since the Neolithic period, plant diversity increased with increasing agricultural activity. “You might think that human impact must be bad for plant diversity, because that’s what we see today,” says Fabian Rey. “But agriculture back then made the landscape more diverse.” Before early agricultural activities, the Swiss Plateau was largely covered by forest and was therefore a relatively uniform ecosystem.

 

“As agriculture expanded, a mosaic of habitats emerged over time,” says Rey. Fields, pastures, hedgerows, and later orchards of tall fruit trees alternated across relatively small areas. This provided varied conditions for plants adapted to those specific environments.

 

However, there were also recurring periods when plant diversity declined sharply: For example, during the Migration Period following the fall of the Roman Empire, or when plague outbreaks claimed many lives in the Middle Ages. “In times when people were less able to continue farming, the forest grew back and plant diversity declined at the landscape level,” explains Heiri.

 

Times of crisis caused diversity to decline

 

More agriculture, more biodiversity: However, this parallel trend lasted only until around World War II. Over the past 80 years, plant diversity has declined sharply. The research team attributes this to the intensification of agriculture since then.

 

Instead of a fragmented mosaic of habitats, large, uniform areas have emerged that are easier to farm using heavy machinery. The increasing use of fertilizers and pesticides also caused many specialized plant species to retreat.

 

“However, our data also show that plant diversity has recovered from earlier declines when people returned to farming practices that included varied landscapes,” says Rey. This suggests that the trend of the past 80 years could also be reversed if farming practices change again.

 

Pollen from seven millennia

 

The data for the study are based on more than a decade of analyses of sediment cores, conducted in close collaboration with researchers from the University of Bern and the Department of Archaeology of Canton Thurgau. To collect the data, Fabian Rey extracted pollen samples from every centimeter of the cores, which he chemically processed, prepared, and analyzed under a microscope. For each sample, he identified 500 pollen grains, enabling him to determine the diversity of plants around the lake.

 

The intensity of agricultural use during each period was determined based on the presence of specific pollen in the samples – including both cultivated plants and species that thrive on farmland – as well as a comparison with archaeological and historical data.

 

The scientists dated the layers using the 14C method, a technique for determining the age of organic material. The sediment cores date back approximately 7000 years, to the Neolithic period.

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