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Science News Archive April 2026 - Page 35


Page 35 of 55

Humanoid robotic loading enhances mechanotransduction in tendon tissue engineering

A new humanoid robotic bioreactor delivers human-like multiaxial mechanical stimulation to engineered tendon constructs, enhancing cell alignment and mechanotransduction-related responses. This study shows that biomimetic multiaxial loading can reshape cellular mechanosensing and promote early tendon-related biological responses.

SourceBeijing Institute of Technology Press Co., Ltd·JournalCyborg and Bionic Systems·DateApr 14, 2026

A high-speed visual BCI based on hybrid frequency-phase-space encoding and high-density EEG decoding

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.

SourceBeijing Institute of Technology Press Co., Ltd·JournalCyborg and Bionic Systems·DateApr 14, 2026

Climate warming may reduce urban vitality

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.

SourcePNAS Nexus·JournalPNAS Nexus·DateApr 14, 2026

Can artificial intelligence match medical interview assessments by clinicians?

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...

SourceJuntendo University Research Promotion Center·JournalJMIR Medical Education·TypeObservational study·DateApr 14, 2026

Integration of two genes: A valuable strategy for developing virus-resistant tomatoes

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.

SourceKindai University·JournalEuphytica·TypeExperimental study·DateApr 14, 2026

New study finds blood test can predict Alzheimer’s disease progression years before symptoms or brain scan changes

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.

SourceMass General Brigham·JournalNature Communications·TypeObservational study·DateApr 14, 2026

Computational “time machine” shows solar and wind on track for 2°C target but not for 1.5°C

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.

SourceChalmers University of Technology·JournalNature Energy·TypeComputational simulation/modeling·DateApr 14, 2026

Super magma reservoirs discovered beneath Tuscany

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.

SourceUniversité de Genève·JournalCommunications Earth & Environment·TypeNews article·DateApr 14, 2026

Loneliness affects memory in older adults but does not accelerate brain decline, major international longitudinal study suggests

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.

SourceTaylor & Francis Group·JournalAging & Mental Health·TypeObservational study·DateApr 14, 2026

Study shows mechanisms of aortic aneurysm progression and potential drug therapies

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.

SourceNagoya University·JournalJournal of Clinical Investigation·DateApr 14, 2026

The weight of wheat

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.

SourceOsaka Metropolitan University·JournalMolecular Nutrition & Food Research·TypeExperimental study·DateApr 14, 2026

Making eco-friendly disinfectants from discarded wood! KIST develops high-efficiency carbon catalyst

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.

SourceNational Research Council of Science & Technology·JournalApplied Catalysis B Environment and Energy·DateApr 14, 2026

New uncertainty-aware AI framework could improve fuel cell degradation forecasting

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.

SourceBeijing Institute of Technology Press Co., Ltd·JournalGreen Energy and Intelligent Transportation·TypeExperimental study·DateApr 13, 2026

New protection method could help free piston Stirling generators avoid damaging overshoot faults

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.

SourceBeijing Institute of Technology Press Co., Ltd·JournalGreen Energy and Intelligent Transportation·TypeExperimental study·DateApr 13, 2026

New AI image-enhancement method could help transportation systems see more clearly in tunnels

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.

SourceBeijing Institute of Technology Press Co., Ltd·JournalGreen Energy and Intelligent Transportation·TypeExperimental study·DateApr 13, 2026

Image-based machine learning framework sharpens battery health estimation across varying conditions

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.

SourceBeijing Institute of Technology Press Co., Ltd·JournalGreen Energy and Intelligent Transportation·TypeExperimental study·DateApr 13, 2026

Predictive energy management could improve fuel savings and emissions in hybrid-electric regional aircraft

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.

SourceBeijing Institute of Technology Press Co., Ltd·JournalGreen Energy and Intelligent Transportation·TypeExperimental study·DateApr 13, 2026

Physics-informed AI framework could improve early prediction of battery knee point and lifespan

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.

SourceBeijing Institute of Technology Press Co., Ltd·JournalGreen Energy and Intelligent Transportation·TypeExperimental study·DateApr 13, 2026

Tiny AI model could strengthen real-time fault diagnosis for high-speed train bogies

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.

SourceBeijing Institute of Technology Press Co., Ltd·JournalGreen Energy and Intelligent Transportation·TypeExperimental study·DateApr 13, 2026

New two-step method improves early diagnosis of micro short circuits in lithium-ion batteries

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.

SourceBeijing Institute of Technology Press Co., Ltd·JournalGreen Energy and Intelligent Transportation·TypeExperimental study·DateApr 13, 2026

Chemicals found in tap water could harm embryos

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.

SourceAdelaide University·JournalEnvironmental Research·TypeObservational study·DateApr 13, 2026

New multiphysics model helps reveal how battery swelling force builds during charging

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.

SourceBeijing Institute of Technology Press Co., Ltd·JournalGreen Energy and Intelligent Transportation·TypeExperimental study·DateApr 13, 2026

Are public sector workers motivated to do the job?

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.

SourceEdith Cowan University·JournalReview of Public Personnel Administration·TypeSurvey·DateApr 13, 2026

SNU Engineering–medical research team identifies, for the first time, a new mechanism to enhance osteoporosis treatment efficiency

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.

SourceSeoul National University College of Engineering·JournalBone Research·TypeExperimental study·DateApr 13, 2026

How neighborhood amenities and infrastructure may slow cognitive decline among older immigrants

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.

SourceRutgers University·JournalSocial Science & Medicine·TypeData/statistical analysis·DateApr 13, 2026