Research on the impact effect of multimodal transport on domestic and international dual circulation: Evidence from China's railway and water transport. [PDF]
Wei L, Xueli Z, Yunhan L, Xia L, Li L.
europepmc +1 more source
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
The effect of time-space compression in the Yangtze River Delta region under transportation integration: An accessibility-based analysis. [PDF]
Shang S, Jiang H.
europepmc +1 more source
The Uniform Rules on the Liability of Operators of Transport Terminals [PDF]
Sweeney, Joseph
core +1 more source
Advances in Solid‐Phase Processing Techniques: Innovations, Applications, and Future Perspectives
Based on practical manufacturing challenges, this review examines advanced solid‐phase processing techniques that overcome the inherent limitations of conventional melting‐based and traditional solid‐phase manufacturing, enabling the production of higher‐performance components at reduced cost through process innovation and improved supply‐chain ...
Tianhao Wang
wiley +1 more source
Multimodal AI fusion for infrastructure resilience: real-time urban analytics framework aligned with SDG-9. [PDF]
Kalyan Chakravarthi NS +5 more
europepmc +1 more source
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source
A multimodal deep reinforcement learning approach for IoT-driven adaptive scheduling and robustness optimization in global logistics networks. [PDF]
Lu Y.
europepmc +1 more source
Treaty on Terminal Operator Liability in International Trade [PDF]
Sweeney, Joseph
core +1 more source
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding +5 more
wiley +1 more source

