Researchers developed a hybrid BCI framework integrating frequency, phase, and spatial information to unlock full potential of visual spatiotemporal neural signals. The system achieved record-breaking performance with high-density EEG recording, expanding command set and reducing stimulus size.
Researchers introduce UltraStar, a high-fidelity and high-efficiency simulator for 6G integrated space-ground networks. The simulator accurately models complex network dynamics, including satellite orbit prediction and realistic modelling of sun outages and inter-satellite links.
Researchers used 3D imaging and artificial intelligence to analyze the microscopic structure of coral skeletons, revealing subtle changes caused by Stony Coral Tissue Loss Disease. The study found that Attention U-Net performed best in detecting differences between healthy and diseased corals.
Researchers develop natural method to filter micro- and nano-plastics from polluted water using pectin-rich nameko mucilage, achieving high removal rates of up to 98.4%. The biodegradable residues minimize environmental impact, paving the way for sustainable wastewater treatment.
A new study finds that when droughts strike, Europe's hydropower and renewables aren't enough to meet energy demand, forcing countries to rely on fossil fuels and increasing CO2 emissions by 180 TWh. The study also reveals that power production from fossil fuels in the EU increased by 7% of total generation in 2022.
Heat waves in Spain are expected to become more frequent and intense, leading to reduced mobility and social mixing, particularly among the elderly and lower-income populations. Greening and shading initiatives could help mitigate these effects by keeping urban cores livable and attractive as the climate warms.
Research by Nicole Ngo and James Rising finds that neighborhoods with more police stops per capita experience greater infant health disparities. Non-Hispanic Black mothers had lower birth weights due to increased community exposure to police stops, even controlling for income and education.
The University of Phoenix Career Institute's sixth annual study found that half of workers say AI makes them more confident about pivoting to a new role. Workers are increasingly turning to AI independently to strengthen their readiness, boosting confidence in building skills and identifying new ways to apply them.
A study by Hector Zenil and colleagues reveals that perfect AI alignment with human values is mathematically impossible. Instead, they propose 'managed misalignment' as an alternative strategy, utilizing competing AI agents with different cognitive styles to dynamically aid or thwart one another.
Researchers from Juntendo University found that AI-based assessment of medical interview transcripts is comparable to clinicians' scores while reducing evaluation time. The study demonstrated strong agreement between AI and human evaluations, with AI showing greater consistency across repeated assessments. This suggests a potential 'AI...
Researchers discovered a combination of Ty-1/Ty-3 and Ty-6 resistance genes in tomato plants provides highly robust protection against begomoviruses. Integration of fewer resistance genes than expected can enhance resistance, offering a promising approach for improving tomato varieties while balancing productivity and fruit quality.
The study reveals that metabolic dysfunction-associated steatotic liver disease (MASLD) is emerging as a major contributor to liver cancer worldwide and in China. Researchers call for integrated global prevention and early detection strategies to address this growing burden.
Researchers explore new design strategies for metasurfaces and BICs, enabling scalable light control and efficient optoelectronic platforms. These advances have practical implications for applications in lasing, sensing, nonlinear optics, wavefront shaping, and imaging.
The Protein Society recognizes six scientists with its 2026 awards, honoring their groundbreaking research and impact on protein science. The winners include Professor Paula Booth, Neil Osheroff, Andreas Martin, Stephen Fesik, Peng Chen, and G. Marius Clore.
A new biomarker has been discovered to help determine which colon cancer patients may benefit from immunotherapy, expanding treatment options for around 5% of patients. The biomarker, CTHRC1(+), identifies cells in the tumor microenvironment that can predict treatment response and disease outcomes.
Kiora Pharmaceuticals' Phase 1 ABACUS-1 study of KIO-301 demonstrates short-term ocular safety and feasibility in patients with late-stage retinitis pigmentosa. The Phase 2 trial is underway to evaluate functional visual improvements and compare them to a control group.
A phase 2 clinical trial shows that a new drug, elraglusib, when combined with chemotherapy, doubles one-year survival rates in pancreatic cancer patients, reducing the risk of death by 38%. The study is a rare success in showing a survival benefit applicable to a broad population.
Researchers found that a blood test for the biomarker pTau217 can predict the progression of Alzheimer's disease in cognitively healthy adults, detecting early signals years before symptoms appear. The study's findings may help push back the clock to enable simpler and earlier disease prediction.
A new computational model developed by researchers at Chalmers University of Technology shows that onshore wind is likely to supply around 25% of global electricity by 2050 and solar reaching about 20%, aligning with the 2°C target. However, this falls short of what is required for a 1.5°C goal.
A Swiss-Italian team has discovered a vast magma reservoir containing approximately 6,000 km³ beneath Tuscany, which poses no threat to the region. The study uses ambient noise tomography to locate resources such as geothermal reservoirs, lithium, and rare earth elements.
A new ultrasensitive test reveals evidence of previously undetected tuberculosis in Boston Hospital patients, with a striking link to life-threatening sickle cell disease complications. The study found that most TB DNA-positive patients were age 50 or older and tested negative on standard TB infection tests.
New research uses transcripts from the Enron scandal to analyze linguistic moves made by energy traders to manipulate trust and encourage collusion. The study identified a 'playbook' of trust-related moves, including 'bond', 'build', 'confide', 'probe', and 'repair', which can inform practical interventions in combating fraud.
A massive genetic study has uncovered six new genes linked to pregnancy sickness, hyperemesis gravidarum (HG), in over 10,000 women. The findings point to biological mechanisms behind HG and potential new treatment pathways, with several medications identified as potential targets.
Researchers discovered a new web-weaver spider species in Colombia, Pikelinia floydmuraria, which is named after Pink Floyd. The species is able to capture and consume ants up to six times its own body size, playing a significant role in managing household pests.
Researchers discovered a crucial connection between the two hippocampal hemispheres in mice, which is necessary for navigation and remembering locations. The study also found that this circuit is altered in mice carrying a genetic mutation associated with schizophrenia.
Researchers at ISTA team present theoretical evidence that magnetic fields in stars can persist through all stages of evolution, emerging as 'fossil fields' at the surfaces of older remnants. This discovery sheds new light on our understanding of stellar magnetism and its relation to starquakes.
Researchers use ancient DNA and burial practices to show that family ties can be more than just blood-related. This challenges traditional views of kinship, highlighting the importance of cultural and anthropological perspectives in understanding family dynamics.
A randomized trial demonstrated that Left Bundle Branch Area Pacing (LBBAP) is an effective strategy for cardiac resynchronisation in patients with heart failure. LBBAP was found to reduce device-related complications and procedure times compared to biventricular pacing.
A major European study found that loneliness affects the memory of older adults, but does not speed up mental decline over time. Participants who reported high levels of loneliness performed worse on initial memory tests, but their ability to recall information declined at a similar rate as those with lower loneliness levels.
Researchers found that clonal hematopoiesis accelerates aortic aneurysm progression and that commonly used osteoporosis drugs can slow or halt this process. The study identified a key mechanism by which macrophages contribute to extracellular matrix degradation, providing a potential non-surgical approach for treating aortic aneurysms.
A study by Osaka Metropolitan University found that mice preferred carbohydrates over standard chow, leading to increased body weight and fat mass. The researchers also discovered a decrease in energy expenditure and an accumulation of fat in the liver, which improved when wheat flour intake was discontinued.
Researchers create a carbon-based catalyst that produces hydrogen peroxide with high selectivity and efficiency, comparable to precious metal-based catalysts. This breakthrough enables the conversion of waste biomass into functional materials for energy-efficient chemical production.
Researchers developed an uncertainty-aware AI framework for predicting proton exchange membrane fuel cell degradation trends. The framework provides both point estimates and interval estimates with probability density information, improving the reliability of fuel-cell prognosis under realistic operating conditions.
James P. Allison, Ph.D., is recognized for his lifelong commitment to scientific discovery and seminal findings that launched the field of cancer immunotherapy. His work led to the development of ipilimumab, an antibody to human CTLA-4, approved as part of therapeutic regimens for multiple cancer types.
Researchers have developed a fast prediction and suppression method for transient piston displacement overshoot in free piston Stirling generators. The new approach detects dangerous overshoot without relying on displacement sensors and suppresses the fault response early enough to maintain safe operation and continuous power delivery.
Researchers developed a dynamic range compression dual-domain attention network to tackle extreme exposure conditions in tunnels. The DRC-DFANet model optimizes global illumination coordination and local detail restoration, preserving fine details while adjusting brightness intelligently.
The integrated framework combines incremental capacity analysis with image feature transformation and a hybrid machine-learning pipeline to improve SOH estimation accuracy. It achieves an RMSE of 1.76% on the NASA dataset and shows robustness when operating conditions shift, suggesting better generalization across different datasets.
Researchers developed a predictive energy management framework for megawatt-class parallel hybrid-electric regional aircraft, showing improved environmental and operational performance. Simulation results show reduced fuel consumption, CO2 emissions, NOx emissions, and energy-specific air range.
Researchers have developed a multi-fidelity framework combining coupled degradation mechanisms with machine learning to predict battery lifespan. The framework addresses the challenge of making reliable forecasts before long-term aging data are available, enabling safer operation and better-informed decision-making.
Microsoft received the 2026 INFORMS Franz Edelman Award for its innovative use of generative AI and advanced analytics in cloud supply chain optimization. The Intelligent Fulfillment Service (IFS) has halved cycle times, generating significant annual savings while mitigating tariff impacts.
Researchers developed a lightweight fault-diagnosis framework for high-speed train bogies using selective knowledge distillation-based domain adaptation. The approach improves cross-domain diagnostic accuracy by at least 2.1% while keeping the final model size to 28.5 kB.
Researchers developed a two-step diagnostic strategy to detect subtle abnormal behavior in lithium-ion batteries. The method combines Hellinger distance with an Inverse Markov Method to identify micro short circuits that can lead to serious safety failures and thermal runaway.
A study by Adelaide University found that even low levels of per- and polyfluoroalkyl substances (PFAS) in tap water can disrupt female fertility, leading to cellular damage, DNA damage, and impairing embryo viability. The study also showed that exposure to PFAS chemicals can be passed on to future generations.
Researchers developed a three-dimensional electro-thermo-mechanical model to quantify the swelling force generated by lithium-ion batteries during charging. The model accurately identifies and quantifies swelling force, offering a new tool for improving battery safety.
Researchers developed an adaptive hybrid edge-cloud collaborative offloading method to address large-scale computational tasks in intelligent machine tools. The proposed AH-ECO mechanism achieved significant reductions in task processing time and energy consumption while maintaining superior security performance.
Researchers developed a nonlinear galloping-driven triboelectric-electromagnetic hybrid generator to harvest low-speed wind energy. The system can work over a wide wind-speed range and produce enough power to support practical electronics.
A new study found that public sector workers' motivation is closely tied to their work environment. The research identified four profiles of public servants with varying levels of motivation, which are shaped by both individual psychology and environmental constraints.
A laser-based cell isolation system enabled researchers to isolate and analyze osteoblasts, revealing a new mechanism regulating bone formation. A combination therapy strategy targeting both WNT and TGF-β signaling pathways is proposed to enhance treatment efficiency.
A team of researchers developed a machine learning framework to optimize laser settings for printing crack-susceptible superalloys. The algorithm reduced internal crack density by 99% and increased the metal's high-temperature strength, surpassing traditional cast components.
A novel imaging reconstruction framework, TT-PADM, enables high-quality photoacoustic tomography imaging even under limited-view and sparse-view acquisition constraints. This breakthrough technique reduces the number of required acoustic transducers without compromising image quality.
Researchers found that metformin reduced neuroinflammation, suppressed neuronal pyroptosis, and improved mitochondrial function after traumatic brain injury. The study highlights Mfn1 as a crucial molecular link between mitochondrial homeostasis and NLRP3 inflammasome.
A new study reveals that sunbirds employ tongue suction to slurp nectar, a novel mechanism in vertebrates. This finding highlights the power of convergent evolution, where different species adapt to similar ecological challenges in distinct ways.
The study introduces a novel large language model-driven generative SemCom system, which achieves significant reduction in communication overhead and improvement in average retrieval accuracy. The research identifies promising application scenarios, including industrial IoT, V2X, the metaverse, and low-altitude economy.
Researchers developed a language-model-guided robotic system for perovskite solar cell research, accelerating device fabrication and characterization. The system achieved a record-breaking power conversion efficiency of 27.0% and generated over 578 million tokens for recipe optimization.
A new manufacturing approach enables the creation of working transistors on both sides of flexible microchips, doubling computing density. The technique uses a liquid bath to detach and float ultra-thin silicon membranes, allowing for precise fabrication without harsh adhesives.
A Rutgers Health study reveals that neighborhoods with greater access to community amenities, services, and infrastructure can reduce the risk of dementia in older Chinese immigrants. The researchers found that individuals living in more cognitively supportive neighborhoods declined more slowly with age.
The UT San Antonio School of Health Professions' Doctor of Physical Therapy program has climbed national rankings due to its five-decade commitment to excellence. The program's curriculum includes clinical affiliations, interprofessional collaborative care, and a selective rotation tailored to student interests.
Paschalidis recognized for developing intelligent systems that remain robust under uncertainty, enabling real-world use in medical data. His work showcases the power of convergent research in creating transformative impact on healthcare.
A recent study by Iowa State University researchers found that pollinators support diversity in plant communities, with viable seed production falling by 50% and species diversity decreasing by 27%. The study suggests a two-way street between pollinators and diverse landscapes, highlighting the importance of considering pollinator habi...
A custom-built AI system helped uncover how bacterial communities organize themselves, showing that early moments of a biological transition carry more information than previously considered. The findings bring new insight into the relationship between genotype and phenotype in Myxococcus xanthus.