A Concordia-led team of researchers has developed a new artificial intelligence-based method of detecting toxic online content that is faster and more accurate than existing tools. The system is designed to ensure social media platforms can reliably prevent user-generated content they deem harmful from appearing online.

Bumble bees demonstrated an unexpected ability to solve a novel object-based challenge without training. A bee’s brain is smaller than a sesame seed, yet in a new experiment, some bumble bees appeared to solve a problem that required more than simple instinct. They had to move an object into position, climb onto it, and use [...]

A groundbreaking discovery at the University of California, Los Angeles (UCLA) has unveiled a promising new therapeutic avenue for kidney regeneration, leveraging a drug initially designed to repair heart tissue following myocardial infarction. This drug, known as AD-NP1, targets a specific protein—ENPP1—that plays a critical role in impeding the body’s natural healing processes in injured tissues. The revelation that AD-NP1 can also accelerate kidney repair heralds a significant advancement in regenerative medicine, especially for patients suffering from chronic kidney disease (CKD), a condition that affects millions globally.

The heart of this research revolves around a protein named ectonucleotide pyrophosphatase/phosphodiesterase 1 (ENPP1). When tissues such as the heart or kidney sustain injury, ENPP1 production escalates, initiating a cascade of metabolic disturbances that hinder energy synthesis within cells. This disruption compromises cellular function and ultimately stalls effective tissue regeneration. In the context of the kidney, which is vital for maintaining systemic homeostasis, such impediments can lead to progressive scarring and functional decline, culminating in kidney failure.

Through years of meticulous experiments, the UCLA team delineated the detrimental impact of ENPP1 on the kidney’s reparative capacity. They observed that injured renal tissue upregulates ENPP1 expression, which in turn resets the metabolic landscape of cells in the damaged microenvironment. This altered metabolic signaling disrupts mitochondrial function, thereby curtailing ATP production essential for cell proliferation and repair. By employing genetic knockout models in mice, where ENPP1 expression was inhibited, the researchers documented a striking enhancement in renal recovery post-injury. These mice demonstrated reduced fibrotic scarring and improved renal biomarkers, signaling restored kidney function.

Central to translating these findings into potential clinical interventions is AD-NP1, a sophisticated monoclonal antibody engineered to specifically neutralize ENPP1. Unlike broad-spectrum immunosuppressants or anti-inflammatory agents, AD-NP1 offers targeted therapeutic precision by binding solely to human ENPP1, circumventing off-target effects. Initially conceptualized to mitigate cardiac fibrosis and promote myocardial regeneration following heart attacks, AD-NP1’s mechanism exerts a similar rejuvenating influence on kidney tissues. The antibody effectively halts the ENPP1-induced metabolic sabotage, facilitating an environment conducive to cellular proliferation and tissue repair.

In experimental paradigms, the administration of AD-NP1 in mice subjected to nephrotoxic diets and chemically induced renal injuries yielded compelling outcomes. Within merely seven days of treatment, subjects exhibited marked improvements in kidney function tests and histological assessments showed diminished collagen deposition and scarring. These findings underscore the drug’s potential to transform the management of acute and chronic kidney injuries by reinstating the organ’s intrinsic regenerative programs, which are often stifled in disease states.

Moreover, the team’s translational approach integrated analyses of human kidney biopsies acquired from individuals with chronic kidney disease. These samples consistently manifested elevated ENPP1 levels relative to healthy controls, substantiating the protein’s pathological role in human renal disorders. This correlation not only reinforces the relevance of the preclinical models used but also paves the way for clinical evaluation of AD-NP1’s efficacy in human subjects suffering from renal ailments.

The broader implications of this discovery extend into the metabolic regulation of tissue repair. ENPP1’s role appears multifaceted, orchestrating cellular energy dynamics and intercellular communication networks that dictate regenerative outcomes. Inhibiting this protein intervenes in maladaptive signaling cascades, thereby restoring bioenergetic balance and enabling clonal expansion of healthy cells adjacent to injury sites. This paradigm shift in understanding organ regeneration emphasizes metabolic modulation as a cornerstone of effective healing strategies.

Prior to this research, the therapeutic targeting of ENPP1 was primarily confined to cardiac medicine. The successful repurposing of AD-NP1 for kidney injury illustrates the concept of cross-organ regenerative mechanisms, where molecular pathways governing tissue healing are conserved albeit contextually modulated. This discovery propels the field into a new frontier, advocating for the exploration of shared regenerative targets that can be manipulated across diverse organ systems.

AD-NP1’s journey into clinical trials commenced recently with FDA approval of a Phase 1 safety study in human patients recovering from heart attacks. This milestone reflects the rigorous preclinical validation of the drug’s pharmacodynamics and safety profile. Building on these milestones, ongoing efforts at UCLA aim to extend these trials to include patients with progressive kidney disease, setting the stage for comprehensive evaluation and potential future clinical application.

Underlying this innovative research are substantial investments from the National Institutes of Health, California Institute of Regenerative Medicine, and the U.S. Department of Defense. This underscores the strategic importance and translational potential of regenerative medicine therapies in addressing chronic diseases that impose heavy societal burdens. The interdisciplinary collaboration among cardiovascular scientists, nephrologists, and molecular biologists at UCLA exemplifies the synergy needed to unlock complex biological processes for therapeutic gain.

In summation, the identification of ENPP1 as a metabolic gatekeeper that impedes tissue repair, combined with the development of AD-NP1 to neutralize its effects, represents a significant leap forward in regenerative medicine. The drug’s ability to foster organ regeneration by restoring metabolic and cellular homeostasis offers hope for millions afflicted by kidney disease and opens novel avenues for organ repair strategies. As clinical trials progress, the scientific community eagerly anticipates further validation of these findings, potentially heralding a new era where molecularly targeted therapies can substantially reverse organ damage and restore quality of life.

Subject of Research: Kidney regeneration, metabolic regulation of tissue repair, ENPP1 protein inhibition, monoclonal antibody therapy

Article Title: UCLA Researchers Discover Novel Role for ENPP1 Inhibition in Enhancing Kidney Repair via AD-NP1

News Publication Date: Not specified (based on provided content)

Web References: Cell Stem Cell Journal Article

Keywords: ENPP1, kidney injury, chronic kidney disease, tissue regeneration, monoclonal antibody, AD-NP1, metabolic signaling, renal repair, fibrosis, UCLA, regenerative medicine, Phase 1 clinical trial

In a groundbreaking advance at the intersection of bioengineering and microbiology, researchers at Harvard’s John A. Paulson School of Engineering and Applied Sciences have unveiled a pioneering device known as a pico-calorimeter. This remarkable instrument is capable of directly detecting heat signals emanating from minute populations of living cells, a feat that until now has remained technologically elusive due to the vanishingly small scale of these thermal signatures. By enabling real-time metabolic tracking at unprecedented sensitivity, the pico-calorimeter promises to revolutionize our understanding and monitoring of cellular activity, bacterial growth, and antibiotic response.

At the core of this innovation is the principle that living cells, as they metabolize nutrients, grow, divide, and react to external stimuli such as drugs, intrinsically emit heat. This metabolic heat, although incredibly subtle, offers a direct, unmediated insight into the physiological state of cells. Unlike conventional methods that infer cellular metabolism indirectly through oxygen consumption or chemical byproducts, the pico-calorimeter provides a direct calorimetric measurement, offering a more immediate and accurate assay of cellular energetics.

The technical architecture of the device is a marvel of microengineering. It consists of three ultrafine glass capillaries aligned on a delicately micromachined membrane with near-atomic precision. One of these capillaries harbors the biological sample suspended in a liquid growth medium, while the remaining two serve as thermodynamic reference points. As the bacteria or other cells within the sample metabolize and proliferate, they release minute quantities of heat. This thermal flux generates infinitesimal temperature gradients relative to the reference capillaries, which are then transduced into electrical signals by a nearby thermopile—an exquisitely sensitive heat-to-electricity converter capable of resolving fluctuations on the order of picowatts.

A critical enhancement in this iteration of the pico-calorimeter lies in its housing within a vacuum chamber. This vacuum environment thermally isolates the sensor assembly from ambient thermal noise, dramatically amplifying sensitivity by nearly an order of magnitude compared to antecedent designs. The prior versions employed liquid droplets on suspended membranes, which, while innovative, presented operational challenges and limited sensitivity. The current vacuum-sealed, microfluidic integration advances robustness, usability, and measurement fidelity, marking a milestone in the delicate art of thermal detection at the cellular scale.

Demonstrating the device’s prowess, the research team employed the pico-calorimeter to monitor Escherichia coli growth dynamics, beginning with an initial seed population as modest as thirty to forty individual bacterial cells. This capability to detect and analyze such small biological communities unveils immense potential for applications ranging from fundamental microbiology to clinical diagnostics. Notably, the device was employed to examine bacterial metabolic responses upon introduction of antibiotics with varying mechanisms of action—chloramphenicol, rifampicin, and ampicillin—capturing differential heat signatures indicative of altered cellular viability and activity.

These direct calorimetric measurements have revealed metabolic perturbations well in advance of what traditional culture-based microbiological assays could discern. This capability is particularly transformative in clinical scenarios such as sepsis, where detecting and characterizing bacterial populations at extremely low concentrations in blood is vital but presently time-consuming. The pico-calorimeter’s sensitivity could drastically truncate diagnostic timelines from days to hours, allowing more timely and targeted antimicrobial interventions.

Beyond measuring growth and antibiotic susceptibility, the pico-calorimeter enables continuous, real-time monitoring of fundamental cellular parameters including viability, proliferation rate, and stress responses. This temporal resolution offers researchers the invaluable ability to dynamically track cellular states and transitions, capturing metabolic shifts as cells respond to environmental perturbations or pharmacological treatments. Such insights may open new frontiers in cell biology, pharmacodynamics, and personalized medicine.

This breakthrough device represents the culmination of roughly two decades of meticulous research in the Vlassak laboratory, with contributions building from initial exploration of nano-calorimetry techniques aimed at materials science phenomena such as phase transitions in shape memory alloys and metallic glasses. The interdisciplinary bridge extended to biological systems has ushered in ultrasensitive calorimetry methods capable of assessing metabolic heat production in large cells and complex embryonic development processes, laying foundational expertise for this current bio-calorimetric leap.

Technologically, the fabrication of the pico-calorimeter draws upon state-of-the-art micro- and nanofabrication facilities, including the Harvard Center for Nanoscale Systems. The integration of microfluidics and micromachined sensing elements within thermally isolated environments exemplifies the cutting-edge convergence of materials science, electrical engineering, and biological instrumentation. The multidisciplinary synergy underscores the technological sophistication essential for detecting thermal signals billions of times smaller than everyday heat fluxes.

Commercially, the Harvard Technology Development office has filed multiple patents covering the pico-calorimeter and its applications in antimicrobial susceptibility testing. Juanjuan Zheng, a pivotal figure in this research and founder of an innovative startup, is leveraging the technology to deliver practical, label-free, real-time metabolic readouts. These tools hold promise for broad adoption in life sciences research, pharmaceutical development, and clinical diagnostics, harnessing the power of heat measurement to glean functional insights from minute biological samples.

As the research community embraces this transformative platform, interest has surged from a diverse array of scientific domains. The ability to capture direct metabolic information from tiny, dynamic living systems resolves a long-standing challenge in single-cell and small-population analysis. This heralds a new era where functional metabolic data provides early and actionable information on biological states, ranging from cellular growth and stress response to drug efficacy and resistance patterns.

In essence, the Harvard pico-calorimeter transcends conventional bioanalytical tools by transforming infinitesimal heat emissions into a vivid metabolic narrative. This technological breakthrough not only augments our scientific toolkit but also possesses the potential to accelerate biomedical discovery, enhance therapeutic precision, and ultimately improve patient outcomes by enabling rapid, noninvasive interrogation of cellular function. The implications for healthcare, research, and biotechnology are profound, heralding an exciting frontier where the subtle warmth of life becomes an unequivocal signal of cellular health and response.

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Subject of Research: Cells
Article Title: A pico-calorimeter for cellular metabolism and antimicrobial susceptibility testing
References: Proceedings of the National Academy of Sciences
Image Credits: Vlassak Group / Harvard SEAS
Keywords: Calorimetry, Chemical analysis, Life sciences, Biophysics, Single cell profiling, Single molecule analysis, Materials science, Physics, Applied sciences and engineering, Applied physics, Engineering, Electrical engineering, Chemical engineering, Mechanical engineering, Health and medicine, Biomedical engineering

Individuals subject to extreme risk protection orders (ERPOs), or "red flag" laws, were significantly less likely to be arrested—including for violent and firearm-related offenses—while the orders were in effect than in the six months before. Strikingly, the drop in arrests did not end when the orders expired and continued for months afterward, according to a new study published in PNAS Nexus.

Every year, more people in England and Wales are involved in disputes before the civil courts than in the criminal courts. More than 1 million claims a year—for personal injury, debt, housing disrepair, faulty consumer goods or breach of contract, for example—are dealt with in the county court.

In a groundbreaking advancement for optoelectronic technology, researchers have unveiled a novel approach harnessing the unique properties of Si₃N₄/n-Si hybrid devices to achieve interface-controlled broadband photodetection. This development promises to revolutionize the efficiency and spectral range of photodetectors, devices integral to a wide array of applications from telecommunications to environmental monitoring. The study, recently published in Scientific Reports, highlights how meticulous control over material interfaces can dramatically enhance device performance, marking a significant leap forward in photodetector design and fabrication.

Photodetectors serve as the eyes of modern electronic systems, converting light into electrical signals that enable everything from digital imaging to fiber optic communication. Traditional photodetectors, however, have long been limited by narrow operational bandwidths and sensitivity constraints, curbing their effectiveness in emerging high-performance applications. By integrating silicon nitride (Si₃N₄) with n-type silicon (n-Si), the researchers have engineered a hybrid platform that deftly overcomes these limitations, exploiting interface phenomena to extend detection capabilities across a broad spectrum of electromagnetic radiation.

At the heart of this innovation lies the strategic manipulation of the Si₃N₄/n-Si interface. Silicon nitride, known for its excellent dielectric properties and chemical stability, acts as both a passivation layer and an optical modulator when interfaced with silicon. This interplay at the atomic and electronic scale shapes charge carrier dynamics, reduces surface recombination losses, and enhances photon absorption efficiency. Such interface engineering ensures that the hybrid device is not only highly sensitive but also capable of operating seamlessly over a wide range of wavelengths, from ultraviolet through visible to near-infrared.

The research team deployed advanced fabrication techniques to precisely control the deposition and interface formation of Si₃N₄ on the n-Si substrate. Utilizing plasma-enhanced chemical vapor deposition (PECVD), they achieved a uniform and defect-minimized nitride layer that adheres perfectly to the silicon surface. This meticulous fabrication step is essential as interface traps, commonly induced by imperfections, can severely degrade photodetector responsiveness and noise levels. By minimizing such imperfections, the hybrid device attains an unprecedented signal-to-noise ratio crucial for sensitive detection tasks.

Optical characterization of the Si₃N₄/n-Si hybrids revealed remarkable broadband responsivity, a parameter quantifying the device’s ability to convert incoming photons across various wavelengths into electric current. The devices demonstrated enhanced photoresponse not only in the visible spectrum but also extended into ultraviolet and infrared regions, surpassing conventional silicon-based photodetectors limited by the bandgap constraints of pure silicon. This broadband sensitivity opens the door to new applications where multispectral light detection is necessary without the need for separate sensors.

One of the pivotal mechanisms for this extended response is the formation of interfacial states that facilitate charge transfer and broaden the spectral detection range. These states effectively lower the energy barriers that typically restrict silicon’s photoresponse, enabling efficient utilization of photons with energies both above and below the traditional silicon bandgap. This effect is modulated by the thickness and stoichiometric composition of the Si₃N₄ layer, parameters finely tuned during device fabrication to optimize performance.

Beyond spectral coverage, the temporal response of these hybrid photodetectors is equally impressive. The devices exhibited fast switching times and low dark currents, essential characteristics for high-speed communications and low-light detection scenarios. Reduced dark current, a measure of unwanted noise in the absence of illumination, directly correlates with enhanced sensitivity, thereby allowing the detection of weak optical signals with unprecedented clarity.

Integration compatibility is another striking advantage of the Si₃N₄/n-Si system. Both materials are well-established in mainstream semiconductor manufacturing, meaning that this innovation can be seamlessly incorporated into existing silicon-based electronic platforms. This compatibility facilitates scaling production while maintaining cost efficiency, a critical factor for commercial adoption in industries such as consumer electronics, healthcare diagnostics, and environmental sensing.

The research also delves into the underlying physics governing the device operation. Through combined experimental and theoretical analyses, the study elucidates charge carrier transport across the interface, the role of interface dipoles, and modulation of the built-in electric field that directs photogenerated carriers. Such detailed understanding offers a roadmap for further improvements, potentially inspiring future hybrid systems with tailored optoelectronic properties suitable for specific industrial applications.

In terms of real-world application, these hybrid photodetectors could significantly enhance the performance of cameras, optical coherence tomography devices, and remote sensing instruments. The broadband detection capability reduces the reliance on multiple sensors, simplifying device architectures and improving reliability. Additionally, their fast response times and stability under various environmental conditions are promising for deployment in harsh or variable environments, including space exploration and autonomous vehicle navigation.

This research marks a notable shift in photodetector technology by emphasizing interface engineering to transcend inherent material limitations. By capitalizing on the complementary properties of Si₃N₄ and n-Si junctions, the study injects fresh momentum into the pursuit of universal photodetectors that excel in speed, sensitivity, and spectral range. The findings underscore the vast potential lying in hybrid material systems, motivating continued exploration into interface-controlled photonic devices.

Looking forward, the researchers suggest exploring further modifications to the Si₃N₄ layer such as doping or introducing nanoscale structuring to tailor the interface behavior. Such advancements may unlock new functionalities like polarization sensitivity or even tunable wavelength selectivity, pushing hybrid photodetectors beyond current performance frontiers. These directions align with the broader scientific quest to develop smarter, more adaptable optoelectronic components for the next generation of information and sensing technologies.

In conclusion, the Si₃N₄/n-Si hybrid photodetector described in this study represents a pivotal development that combines material science innovation with practical engineering to address longstanding challenges in photodetection. Its broadband capability, operational stability, and integration potential poise it as a top candidate for a wide spectrum of applications demanding fast, efficient, and reliable light detection. As industries continue to demand more from photonic devices, such interface-controlled systems stand out as a transformative solution poised to redefine the future of photodetection technology.

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Subject of Research: Interface-controlled broadband photodetection in Si₃N₄/n-Si hybrid devices

Article Title: Interface-controlled broadband photodetection in Si₃N₄/n-Si hybrid devices

Article References:
Manfo, T.A., Yıldız, D.E., Bağcı, C. et al. Interface-controlled broadband photodetection in Si₃N₄/n-Si hybrid devices. Sci Rep (2026). https://doi.org/10.1038/s41598-026-57951-y

Image Credits: AI Generated

In an era where education continually evolves through collaboration, the partnership between schools and universities represents a crucial frontier for innovation and professional growth. Yet, despite the increasingly common alliances forged between these educational institutions, evaluating their efficacy and sustaining them over time remains a complex challenge. Addressing this gap, a pioneering doctoral thesis from Tallinn University introduces a robust framework designed to monitor and enhance school–university partnerships systematically.

Edna Milena Sarmiento Marquez, PhD in Educational Sciences, has contributed a transformational approach to understanding how educational collaborations can thrive. She emphasizes that strong partnerships catalyze professional development for educators, enrich the practical application of research within classrooms, and ultimately, elevate student learning experiences. More than just administrative or academic joint ventures, these partnerships can ignite educational innovation, blending theoretical insights with lived classroom realities to the benefit of all stakeholders.

However, despite such promise, many partnerships falter due to a lack of clear indicators for progress, and the difficulty in sustaining engagement over extended periods. This represents a critical obstacle, as partnerships often involve diverse participants—teachers, researchers, administrators—each with differing expectations and needs. Without structured methods to assess their collaboration, these alliances risk stagnation or dissolution.

To navigate this intricate landscape, Sarmiento Marquez developed the SUP.ME (School–University Partnerships) framework. This innovative tool acts as both compass and map, guiding partners through the lifecycle of their joint ventures. SUP.ME moves beyond traditional evaluation metrics—such as goal achievement alone—and integrates qualitative measures like mutual trust, effective communication, and the partners’ capacity to learn collaboratively and adapt to evolving conditions. It transforms assessment into an ongoing, reflective learning process where each participant shares responsibility for monitoring progress.

The conceptual underpinning of SUP.ME is the recognition that partnerships function as dynamic ecosystems. They evolve through a continual exchange of knowledge and experiences among partners who bring complementary perspectives. This iterative process supports collective decision-making that is informed by real-time insights rather than distant or static assessments. By embedding evaluation within partnership activities, SUP.ME ensures that feedback loops remain immediate and actionable.

From a methodological standpoint, the framework demands active engagement with observational data, gathered through interactions, meetings, and cooperative initiatives within the partnership. Utilizing this data, partners collaboratively analyze outcomes and challenges, fostering an adaptive environment. Such an approach aligns with contemporary educational theories emphasizing reflective practice and experiential learning, which acknowledge that collaboration itself can be a transformative pedagogical tool.

Sarmiento Marquez’s research highlights that successful partnerships often manifest flexibility—adjusting goals, roles, and strategies as situations evolve. This adaptability is underpinned by the strength of interpersonal relationships and the development of trust. Partnerships that sustain themselves are not merely about completing tasks but about cultivating a shared vision and mutual respect that motivates continued engagement despite inevitable challenges.

This research adds a critical new dimension to partnership studies by situating evaluation as an integral, continuous component rather than a periodic, external audit. In doing so, it disrupts traditional views on educational collaboration and suggests that long-term sustainability emerges through mutual growth and learning. The framework’s practical application promises to provide schools and universities with a much-needed mechanism to quantify and qualify their joint efforts meaningfully.

Equally important is how SUP.ME emphasizes inclusivity and co-ownership of the evaluation process. It eschews hierarchical models where evaluation is imposed by one institution over the other. Instead, it encourages a democratic evaluation culture, promoting transparency and shared accountability. This shift resonates with broader educational trends aiming to democratize knowledge and empower practitioners at all levels.

The broader implications of this work extend beyond school–university partnerships. The principles of collaborative, embedded evaluation may influence how other cross-sectoral educational initiatives are designed and sustained, including community engagement projects and interdisciplinary research programs. By modeling how partnerships can tactically and effectively self-monitor, SUP.ME offers a blueprint for multifaceted educational transformation.

Reflecting on the metaphor provided by Sarmiento Marquez, managing a partnership without structured evaluation is akin to undertaking a trek through challenging terrain without navigational aids. The SUP.ME framework serves as that critical navigation system, enabling partners to map their journey, recognize landmarks of success, and recalibrate their route in response to unforeseen obstacles.

In essence, this doctoral research contributes not just a theoretical model but a functional toolkit aimed at bridging the often elusive gap between partnership aspirations and tangible outcomes. It empowers educational institutions to harness the full potential of collaboration, nurturing an environment where teachers, researchers, and students collectively thrive through shared knowledge, reflective practice, and adaptive strategy.

The significance of this work lies in its potential to reshape educational collaboration worldwide. As schools and universities confront unprecedented challenges—from digitization and shifting pedagogical paradigms to socio-economic disparities—the capacity to build and maintain vibrant partnerships becomes increasingly critical. SUP.ME offers a beacon of guidance for those navigating this demanding yet rewarding path of joint educational advancement.

By integrating observational data, ongoing reflective dialogue, and adaptive learning cycles, Sarmiento Marquez’s framework transcends traditional boundaries of partnership evaluation. It positions collaboration not merely as a strategic imperative but as a living, evolving practice anchored in trust, communication, and mutual growth. This perspective is not only innovative but essential for fostering the sustained success of educational partnerships in the 21st century.

Ultimately, the SUP.ME framework invites education professionals to embrace partnerships as reciprocal journeys of learning and innovation. It challenges institutions to reconceptualize evaluation from a retrospective checkpoint to a real-time compass guiding continuous improvement. As this approach gains traction, it promises to enhance educational ecosystems, ensuring that collaborations realize their full transformative potential.

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Subject of Research: People
Article Title: Available from DOI link
Web References: http://dx.doi.org/10.60518/etera/148
Image Credits: Edna Milena Sarmiento Marquez and Tallinn University
Keywords: Educational Partnerships, School–University Collaboration, SUP.ME Framework, Collaborative Learning, Evaluation Framework, Professional Development, Educational Innovation, Reflective Practice

In an age of AI hallucinations and collapsing trust, Jimmy Wales argues that Wikipedia’s human transparency may be exactly what makes it worth trusting.

The Life House Impact Project, led by Dr. Georgia Bowers, Professor Andrew King and Dr. Richard Green, worked with older LGBTQ+ people to document their real concerns about housing and social care—and then brought those experiences into training for the people responsible for that care. The report shows that the proportion of staff who said they regularly or always met their LGBTQ+ service users' needs rose from 55% to 85% in the weeks following the training.

Astronauts aboard the International Space Station have switched on NASA’s newly upgraded Cold Atom Lab, a one-of-a-kind facility designed to improve how scientists explore the fundamental workings of matter and develop new quantum technologies. By leveraging the unique environment of microgravity in space, the lab can accomplish cutting-edge science impossible to do anywhere else.

Quantum science is the study of matter at the smallest scales, like atoms, electrons, and single particles of light. While it’s easy to imagine atoms as billiard balls bouncing off one another, they also exhibit wave-like behavior, can exist simultaneously in two places at once, and may even pass through one another.

About the size of a minifridge and operated from Earth, the Cold Atom Lab chills atoms to temperatures below minus 459 degrees Fahrenheit (minus 237 degrees Celsius). At this extreme cold, just above absolute zero, atoms form a large quantum object called a Bose‑Einstein condensate, or BEC, a collection of matter waves that is a fifth state of matter beyond solids, liquids, gases, and plasma. This object follows the rules of quantum mechanics despite being much larger than subatomic particles, and the microgravity of low Earth orbit helps make the waves even larger.

“At the coldest temperatures, matter behaves drastically different from anything we have experienced,” said Jason Williams, project scientist for Cold Atom Lab at NASA’s Jet Propulsion Laboratory in Southern California, which built the facility. “The wavelike nature of matter dominates, and ultracold matter can behave in ways that are not only unexpected, but that also enable extremely precise measurements of time, gravity, and motion. The lab has lots of tools — especially with this latest upgrade — to let us probe the nature of the universe.”

The project supports five international teams studying fundamental physics. It also tests the space-readiness of quantum tools that could support future Earth science and space exploration missions.

How it works

The heart of the Cold Atom Lab is a complex set of instruments called its science module. An upgraded module launched on April 11 as part of a Commercial Resupply Services mission to the space station, enabling new kinds of experiments.

For each experiment, a strip of rubidium or potassium metal is heated to as high as 750 F (400 C) — hot enough to form a gas within the facility’s vacuum chamber. Lasers tuned to specific frequencies are then fired at the gas, draining the energy from these atoms, and cooling them by slowing them down. Once this gas has completed the laser-cooling stage, a magnetic trap captures and holds the gas in place. Through a series of complex techniques, the laboratory reduces an atom cloud’s energy further, bringing it close to a standstill and maximizing its time in microgravity.

While facilities for studying ultracold gases exist on Earth, the Cold Atom Lab can study quantum gases in microgravity for longer periods of time and at even lower temperatures. Conducting these experiments in low gravity allows scientists to study larger quantum waves that also interact for longer times with gravity. To harness these benefits, the Cold Atom Lab essentially shrinks an atom physics lab, typically the size of an entire room filled with lasers and tabletop mirrors, to fit within an experiment rack aboard the space station.

“As the first project to create Bose-Einstein condensates in orbit, we’re demonstrating that we can make quantum technology work reliably in space,” said Ethan Elliott, deputy project scientist for Cold Atom Lab at JPL. “In the previous century, there was a quantum revolution that led to lasers, cellphones, and MRIs for medical imaging. We’re performing quantum 2.0 — direct manipulation of large quantum states — and we hope for similar gains in quantum tech by advancing this science in orbit.”

The latest upgrade is the fourth since the Cold Atom Lab arrived at the space station in 2018. Key improvements include a newly designed magnetic trap that changes the shape of the quantum gas clouds, allowing scientists to test different properties related to their atoms. The upgrade also features redesigned metal strips that act as sources for those gas clouds.

“It’s the closest thing we have to controlling the boundary of the quantum world,” said Kamal Oudrhiri, project manager of Cold Atom Lab at JPL, referring to those low temperatures. “This new upgrade pushes that boundary even further.”

The upgrade, Oudrhiri added, “demonstrates NASA’s ability to maintain U.S. leadership in space-based quantum technologies while maturing future quantum instruments, such as matter-wave interferometers for fundamental physics missions, positioning, navigation, timing, and gravity sensing of Earth, the Moon, and beyond.”

More about Cold Atom Lab

Managed by Caltech in Pasadena, JPL designed, built, and operates the Cold Atom Lab, which is sponsored by the Biological and Physical Sciences division of NASA’s Science Mission Directorate at the agency’s headquarters in Washington. The division pioneers scientific discovery and enables exploration by using space environments to conduct investigations that are not possible on Earth. Studying biological and physical phenomena under extreme conditions allows researchers to advance the fundamental scientific knowledge required to go farther and stay longer in space, while also benefiting life on Earth. 

To learn more about Cold Atom Lab, visit:

https://nasa.gov/cold-atom-laboratory/

Media Contact

Andrew Good
Jet Propulsion Laboratory, Pasadena, Calif.
818-393-2433
andrew.c.good@jpl.nasa.gov

2026-039

The post NASA’s Quantum Lab Aboard Space Station Gets Chilly Upgrade appeared first on NASA Science.

Astronauts aboard the International Space Station have switched on NASA’s newly upgraded Cold Atom Lab, a one-of-a-kind facility designed to improve how scientists explore the fundamental workings of matter and develop new quantum technologies. By leveraging the unique environment of microgravity in space, the lab can accomplish cutting-edge science impossible to do anywhere else.

Quantum science is the study of matter at the smallest scales, like atoms, electrons, and single particles of light. While it’s easy to imagine atoms as billiard balls bouncing off one another, they also exhibit wave-like behavior, can exist simultaneously in two places at once, and may even pass through one another.

About the size of a minifridge and operated from Earth, the Cold Atom Lab chills atoms to temperatures below minus 459 degrees Fahrenheit (minus 237 degrees Celsius). At this extreme cold, just above absolute zero, atoms form a large quantum object called a Bose‑Einstein condensate, or BEC, a collection of matter waves that is a fifth state of matter beyond solids, liquids, gases, and plasma. This object follows the rules of quantum mechanics despite being much larger than subatomic particles, and the microgravity of low Earth orbit helps make the waves even larger.

“At the coldest temperatures, matter behaves drastically different from anything we have experienced,” said Jason Williams, project scientist for Cold Atom Lab at NASA’s Jet Propulsion Laboratory in Southern California, which built the facility. “The wavelike nature of matter dominates, and ultracold matter can behave in ways that are not only unexpected, but that also enable extremely precise measurements of time, gravity, and motion. The lab has lots of tools — especially with this latest upgrade — to let us probe the nature of the universe.”

The project supports five international teams studying fundamental physics. It also tests the space-readiness of quantum tools that could support future Earth science and space exploration missions.

How it works

The heart of the Cold Atom Lab is a complex set of instruments called its science module. An upgraded module launched on April 11 as part of a Commercial Resupply Services mission to the space station, enabling new kinds of experiments.

For each experiment, a strip of rubidium or potassium metal is heated to as high as 750 F (400 C) — hot enough to form a gas within the facility’s vacuum chamber. Lasers tuned to specific frequencies are then fired at the gas, draining the energy from these atoms, and cooling them by slowing them down. Once this gas has completed the laser-cooling stage, a magnetic trap captures and holds the gas in place. Through a series of complex techniques, the laboratory reduces an atom cloud’s energy further, bringing it close to a standstill and maximizing its time in microgravity.

While facilities for studying ultracold gases exist on Earth, the Cold Atom Lab can study quantum gases in microgravity for longer periods of time and at even lower temperatures. Conducting these experiments in low gravity allows scientists to study larger quantum waves that also interact for longer times with gravity. To harness these benefits, the Cold Atom Lab essentially shrinks an atom physics lab, typically the size of an entire room filled with lasers and tabletop mirrors, to fit within an experiment rack aboard the space station.

“As the first project to create Bose-Einstein condensates in orbit, we’re demonstrating that we can make quantum technology work reliably in space,” said Ethan Elliott, deputy project scientist for Cold Atom Lab at JPL. “In the previous century, there was a quantum revolution that led to lasers, cellphones, and MRIs for medical imaging. We’re performing quantum 2.0 — direct manipulation of large quantum states — and we hope for similar gains in quantum tech by advancing this science in orbit.”

The latest upgrade is the fourth since the Cold Atom Lab arrived at the space station in 2018. Key improvements include a newly designed magnetic trap that changes the shape of the quantum gas clouds, allowing scientists to test different properties related to their atoms. The upgrade also features redesigned metal strips that act as sources for those gas clouds.

“It’s the closest thing we have to controlling the boundary of the quantum world,” said Kamal Oudrhiri, project manager of Cold Atom Lab at JPL, referring to those low temperatures. “This new upgrade pushes that boundary even further.”

The upgrade, Oudrhiri added, “demonstrates NASA’s ability to maintain U.S. leadership in space-based quantum technologies while maturing future quantum instruments, such as matter-wave interferometers for fundamental physics missions, positioning, navigation, timing, and gravity sensing of Earth, the Moon, and beyond.”

More about Cold Atom Lab

Managed by Caltech in Pasadena, JPL designed, built, and operates the Cold Atom Lab, which is sponsored by the Biological and Physical Sciences division of NASA’s Science Mission Directorate at the agency’s headquarters in Washington. The division pioneers scientific discovery and enables exploration by using space environments to conduct investigations that are not possible on Earth. Studying biological and physical phenomena under extreme conditions allows researchers to advance the fundamental scientific knowledge required to go farther and stay longer in space, while also benefiting life on Earth. 

To learn more about Cold Atom Lab, visit:

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Andrew Good
Jet Propulsion Laboratory, Pasadena, Calif.
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2026-039

Half of young men in Switzerland are concerned that "real men" are increasingly being marginalized in society. A large-scale study by the Jacobs Center for Productive Youth Development at the University of Zurich (UZH), in collaboration with männer.ch, shows how prevalent restrictive and dominance-based concepts of masculinity are. These ideas go hand in hand with misogyny, a propensity for violence and opposition to gender equality. Prevention efforts should start in schools.

The floating device tests water, then disinfects it without batteries or chemicals.

New research has identified areas around the world where cooler currents and other favorable conditions are helping to protect coral from the worst effects of global warming.

New research has identified areas around the world where cooler currents and other favorable conditions are helping to protect coral from the worst effects of global warming.

In 2013, Chicago Public Schools closed 49 elementary schools—the largest mass public school closure in U.S. history at the time. A new study from researchers at the University of Chicago and the Johns Hopkins Bloomberg School of Public Health, published in Social Science & Medicine, shows that, in addition to limiting access to education, the school closures also led to increases in gun violence.

It's the time of year when parents are thinking of registering their children for kindergarten in September—a much-anticipated moment in the lives of many parents and their young ones.

"What do dads do on Tuesdays?" This wasn't a rhetorical question when I posed it to my wife as our daughter's birth approached. Before my daughter was born, I had seen my father just once in the past 27 years. That's more than 1,400 Tuesdays. In fact, as a kid I hardly saw fathering any day of the week, save for on TV sitcoms; absent dads were prevalent within my family and among my peers.

Residential segregation remains one of the most pressing and persistent challenges facing American cities today. It fractures economic opportunity, stifles social cohesion, and underpins many of the inequities visible across urban landscapes. Despite decades of research into the patterns and consequences of segregation, the measurement of these patterns has long grappled with a thorny methodological problem: how the artificial boundaries used to aggregate population data influence estimates of segregation. This problem, often called the modifiable areal unit problem (MAUP), arises because segregation indices depend critically on how spatial units—like Census tracts—are defined and aggregated. Until now, a comprehensive assessment of this source of variability has remained out of reach.

In a groundbreaking study published in Nature Cities, researchers have employed an innovative approach that leverages redistricting algorithms to simulate millions of alternative spatial boundary configurations. These alternative maps adhere to official Census criteria but shuffle tract boundaries within those parameters, creating an unprecedented way to probe how sensitive traditional segregation indices are to the arbitrary boundaries that political and statistical geographies impose. The results challenge established assumptions and ultimately affirm the practicality—and peculiar robustness—of Census tracts as tools for racial segregation measurement across U.S. cities.

Traditionally, segregation research relies on fixed geographic units, most commonly Census tracts, to evaluate how populations of different racial and ethnic groups are distributed across cities. But these tracts, while designed to be relatively homogeneous and stable, are shaped by administrative decisions that do not directly correspond to natural or social boundaries. Since the exact delineation of these tracts can stray substantially, estimates of segregation derived from them have always carried a hidden risk of aggregation bias. Sensitivity analyses that explore alternate aggregations have been limited in scope, relying on hypothetical adjustments or crude spatial aggregations, rather than systematically exploring the vast universe of plausible boundary alternatives.

The new study breaks this impasse by borrowing tools from political redistricting theory—where map-drawing is a highly contested and technically advanced field. The researchers developed a computational framework using redistricting software capable of generating millions of alternate Census tract configurations within each city. These alternative configurations satisfy Census Bureau guidelines on population equality and contiguity, approximating what feasible boundary revisions might realistically look like. By calculating segregation indices for each configuration, the team was able to characterize the full probabilistic distribution of segregation estimates that arise purely from boundary variability.

Their analysis covered a wide range of U.S. cities, from smaller metropolitan areas with relatively few tracts to sprawling urban agglomerations comprising thousands of tracts. The findings reveal a striking pattern: in smaller cities, the estimated levels of racial segregation can fluctuate substantially when alternative boundary maps are considered. This variability highlights the dangers of over-reliance on fixed census geographies in contexts where granularity is limited and aggregation artifacts become significant. In contrast, as city size grows and spatial units multiply, the observed segregation estimates converge; the impact of redrawing boundaries diminishes, and estimates become more stable and trustworthy.

Perhaps more surprisingly, the study found no evidence that existing Census tract-based estimates are systematically biased in either direction. The official tract boundary estimates tended to fall near the mean of the simulated distribution of alternative boundaries. This outcome challenges the often-expressed concern that Census tracts might drastically overstate or understate segregation. Instead, while individual estimates do carry inherent spatial aggregation uncertainty, the conventional measures are, on average, representative. This nuance adds an important layer of confidence to decades of segregation research relying on these geographic units.

Technically, the probabilistic distributions generated by the redistricting simulations provide a novel way to frame segregation statistics in an uncertainty framework. Instead of presenting segregation as a point estimate, urban researchers and policymakers can now appreciate a spectrum of plausible segregation values conditioned on boundary choices. This opens avenues for more transparent reporting that reflects the inherent spatial ambiguity in aggregate data analysis, empowering better-informed decisions on interventions aimed at mitigating segregation and its effects.

The methodology itself is noteworthy for blending urban demographics with advanced computational geography. By applying constraints like population equivalence and spatial contiguity, the simulations closely mimic the federal redistricting process and ensure that the alternative boundaries are grounded in realistic criteria rather than purely theoretical constructs. This rigor elevates the findings beyond mere sensitivity checks, framing boundary uncertainty as a quantifiable dimension of segregation research rather than a theoretical limitation.

These insights carry significant implications not only for researchers but also for policymakers and activists engaged in urban planning, housing, and civil rights advocacy. Recognizing that reported segregation metrics come with an intrinsic range of variance caused by how boundaries are drawn can lead to greater caution in interpreting city rankings or trends over time. More fundamentally, it signals the need for complementary approaches that integrate non-aggregate data sources or spatially continuous methods to further refine segregation measurement.

The study also presents a generalizable framework adaptable to other domains where spatial aggregation introduces bias and uncertainty. Fields such as public health, environmental justice, and economic geography often rely on aggregated spatial data vulnerable to the MAUP. The redistricting simulation approach offers a powerful template for diagnosing and statistically correcting aggregation error in these varied contexts, paving the way for more robust spatial analyses across disciplines.

One of the most profound contributions of this research is its nuanced vindication of the Census tract as a unit of analysis. While researchers have long critiqued the arbitrariness inherent in fixed administrative boundaries, the study’s results demonstrate that in many urban contexts at scale, these units provide a sufficiently stable foundation for measuring segregation. This balancing of skepticism with empirical validation is rare in social science and signals a promising path toward methodological refinement rather than wholesale rejection of conventional metrics.

The findings also underscore the importance of city size and spatial scale in segregation measurement. Smaller cities, where the number of spatial units is limited, experience much greater volatility in segregation estimates. This volatility arises because each tract, or aggregation unit, represents a larger proportional share of the city’s population, amplifying boundary effects. Larger cities benefit from statistical smoothing through numerous smaller units, increasing estimate robustness. This insight could deeply inform urban comparative studies and the design of equitable zoning or integration policies tailored to city scale.

Going forward, the authors advocate for broad adoption and further development of their redistricting simulation platform. Enhancing the tool’s accessibility and integrating it with standard segregation calculations could democratize this approach, allowing urban researchers everywhere to rigorously address aggregation bias. Moreover, expanding simulations to explore additional boundary constraints or to incorporate social network data could refine understanding of how human geography and administrative geography intersect to shape segregation patterns.

The study arrives at a critical moment, as U.S. cities grapple with evolving demographic realities amid ongoing debates over race, equality, and urban policy. Precise and reliable measurement tools are foundational to both academic inquiry and effective governance. By making segregation measurement more transparent and statistically nuanced, this research provides a critical step towards evidence-based urban reform that acknowledges complexity without being paralyzed by it.

In conclusion, this pioneering study reframes the measurement of racial segregation by exposing the variability introduced through spatial aggregation while reassuring researchers and policymakers of the general reliability of established Census tract definitions. By harnessing computational redistricting techniques, it both deepens and democratizes understanding of urban racial geography, offering a blueprint for more rigorous and nuanced measurement in this socially consequential domain. The framework not only enriches segregation studies but sets a new standard for spatial data analysis in the social sciences, inviting an era where measurement uncertainty is openly acknowledged and expertly managed.

Subject of Research:
City-scale racial segregation measurement and spatial aggregation bias in U.S. metropolitan areas.

Article Title:
City racial segregation statistics are robust to aggregation bias.

Article References:
Brown, J.R., Kenny, C.T. & Simko, T. City racial segregation statistics are robust to aggregation bias. Nat Cities (2026). https://doi.org/10.1038/s44284-026-00459-3

Image Credits:
AI Generated

DOI:
https://doi.org/10.1038/s44284-026-00459-3