To answer this question: How to accurately predict the future trajectories of mixed-flow vehicle platoons in traffic oscillation scenarios? This study introduces CPIDLM, a hybrid AI model that significantly improves vehicle movement predictions during traffic speed changes by combining physical driving laws with individual human behavior patterns. By explicitly accounting for driver uncertainty and how vehicles affect one another, this approach reduced distance prediction errors by 16.7% compared to existing methods, providing a more reliable foundation for autonomous vehicles.

Researchers developed COIN, a collaborative and interaction-aware reinforcement learning framework for multi-agent autonomous driving. COIN enables vehicles to learn both individual navigation and system-level cooperation, improving safety and efficiency in dense scenarios such as intersections, roundabouts, and bottlenecks. The framework was evaluated in simulation and further validated on a hybrid robotic platform.

Lead-based piezoelectric materials still dominate high-performance ultrasonic transducers, creating demand for environmentally friendly alternatives that can deliver comparable device performance. A research team led by Guangzhi Dong at Xidian University used B-site Fe³⁺ acceptor doping to tune the phase structure and electromechanical response of BNKBT lead-free ceramics. The optimized BNKBT-Fe(0.01) ceramic reached d₃₃ = 180 pC/N and k_t = 0.42. A 10 MHz transducer achieved an insertion loss of 16 dB, while acoustic focusing enabled 182 μm axial and 264 μm lateral resolution and clear porcine-eyeball imaging.

The enhancement of electrochemical performance for protonic ceramic cells is hindered by sluggish oxygen-electrode kinetics. Increasing specific surface area is a widely-adopted strategy to create more catalytically-active sites. Differently, a research team from Nanjing Tech University proposed a novel design strategy with large-grain for Sc-Ce co-doped BaCoO₃-based (BCSCe) electrodes system. Where the proton-coupled oxygen reduction reaction of BCSCe system follows the hydrogenation-dehydrogenation mechanism, micron-sized electrodes deliver superior electrochemistry compared with nanostructured electrode, achieving peak power density of 2.28 W cm^-2 and stable operation over 120 hours, offering new guidance for oxygen electrode design.

The interaction between institutional language and real-world carbon outcomes is paramount to achieving climate change mitigation. The language–policy–outcome (LPO) framework employed qualitative ecolinguistic frame analysis to compare carbon governance discourse in China and the United States (California) between 2007 and 2022, advancing a holistic understanding of how carbon governance discourse intermediates among institutional behavior, epistemic culture, and environmental outcomes.