A study found wide variation in contamination by lead and arsenic in soil and ash from California homes burned by the Eaton and Palisades wildfires. Cleanup efforts reduced concentrations of these contaminants, but the study highlights a need for technical review and more effective cleanup methods.
A new research direction proposes building machine-learning systems on top of AI models to detect hidden information and predict behavior. This enables users to supervise the model, control its behavior without understanding the entire mechanism.
A new framework proposes a third way to balance AI innovation and safety: accelerating responsible innovation through technical, organizational, and ethical advancements. The Telus GenAI customer support agent demonstrates how risks can drive further innovation, reducing the need for restrictive safety constraints.
Researchers have developed a new three-dimensional photothermal structure that greatly improves solar evaporation efficiency, achieving a record rate of 38.14 kg m-2 h-1. The material's unique microstructure maximizes sunlight capture and reduces energy consumption by 45.7%.
Researchers introduce a 'failure-mechanism-oriented robustness optimization' framework to address coupled multimode failures and optimize superhydrophobic sensor performance. The framework establishes key quantitative benchmarks for next-generation amphibious flexible sensing, enabling exceptional metrics of up to 10,000 gauge factors ...
A KAIST research team led by Professor Jee-Hwan Ryu has received the IEEE Robotics and Automation Letters (RA-L) Best Paper Award for the second consecutive year. The award-winning paper presents a novel assistive dressing technology that enables garments to autonomously unfold and move along the user's body using soft robotic principles.
Liquid ammonia has high energy density and is compatible with existing infrastructure, making it attractive for decarbonizing marine shipping and heavy-duty transport. However, challenges such as low reactivity and high NOx emissions must be addressed through advanced injection strategies and combustion control.
Researchers at HKUST have discovered that mutations in the RPGR gene can lead to defective cilia structures, resulting in impaired airway clearance and recurrent lung infections. The study provides new insights into the pathogenesis of primary ciliary dyskinesia (PCD) and holds potential for targeted therapeutic interventions.
A review in Engineering highlights advances in sorption-enhanced catalytic hydrogenation of carbon oxides, improving reaction efficiency with selective water vapor removal. Zeolites and fixed-bed reactors are studied for their potential in this technology.
A new study reveals that improving one element of a healthcare system can lead to worse patient outcomes in low- and middle-income countries due to systemic interconnectedness. Enhancing trust in the healthcare system had the greatest impact on clinical outcomes, but increased demand from more patients can quickly overwhelm services.
A research team has successfully designed a novel electrolyte for fluoride shuttle batteries, which boasts high electrochemical stability and reversibility. The KBF4-containing electrolyte effectively regulates the fluorination reaction, enabling reversible electrode reactions.
A new study outlines the technical status and future outlook of ammonia-fired power generation, positioning it as a viable hydrogen energy carrier and low-carbon fuel. The technology has been developed for gas turbines and coal-fired boilers, with significant reductions in emissions and improved performance.
The review provides fundamental insights into combustion kinetics for biomass-derived oxygenated fuels, highlighting distinct reaction patterns across fuel categories. It outlines priority directions to improve predictive kinetic models, such as expanding experimental datasets and adopting advanced computational tools.
The review highlights advancements in intelligent coal-fired power technologies, including ubiquitous sensing systems and advanced control algorithms. Intelligent transformation enables flexible operations and long-term sustainability of coal-fired generating units.
A new study reveals critical limitations in cement carbonation as a climate mitigation strategy, highlighting severe temporal asymmetry and performance uncertainty. The authors call for time-explicit accounting, strict verification, and policy prioritization of established decarbonization levers.
The Bird Sonic system is being used to prevent bird strikes at Narita International Airport and nine other Japanese airports. The system uses high-frequency sound to deter birds from approaching aircraft, reducing the risk of collisions and accidents.
A groundbreaking technology called Time to Move (TTM) offers unprecedented control over object and character movement in AI-generated videos. TTM eliminates the need for complex infrastructure or training on millions of videos, making AI video creation more accessible.
Researchers developed a data-driven method combining GA-BP neural network and chaotic particle swarm optimization to predict and optimize screen-printing parameters for thick-film resistors. The approach achieved an R² of 0.991, recommending optimal settings in 2.38 seconds and reducing resistance deviation within 5%.
Researchers have identified a mechanism to improve energy efficiency by converting wasted heat into electricity using hollow silicon nanotubes. This technology has the potential to replace rare metals with abundant silicon, leading to more efficient thermoelectric devices.
Researchers develop a breakthrough electrolyte system using anion-diluent decoupled solvation chemistry, achieving improved battery life, safety, and voltage tolerance. The new electrolyte design enables compact contact ion pairs, delivering intrinsically higher oxidation stability and faster Li+ desolvation kinetics.