1592 papers
This paper introduces a high-throughput flow cytometry platform utilizing a dual-beam scrolling interference pattern to overcome sensitivity limitations, enabling the detection and discrimination of submicron particles, including gold nanoparticles as small as 15 nm, at rates up to 750 particles per second.
This study reanalyzes experimental data to demonstrate that while an individual's moment-to-moment trust in automation generally aligns with their reliance decisions, this relationship is significantly weaker in highway contexts compared to suburban ones, suggesting that interface design should prioritize supporting timely control reassessment rather than simply aiming to increase average trust levels.
This parametric study of steel girder bridges in Dakar, Senegal, reveals that while seismic actions govern force-based demands and longitudinal displacements, wind loads control transverse pier displacements for taller piers, demonstrating that both actions are critical and their dominance depends on the specific engineering demand parameter and pier height.
This study investigates the manufacturability and flow-control potential of additively manufactured Double-Gyroid-TPnS structures for SMART reactors, establishing design limits for 316L stainless steel components and demonstrating that their relative displacement effectively alters hydraulic properties like permeability and pressure drop.
This paper proposes a simplified overmodulation strategy for three-level NPC inverters based on the 120° coordinate system, which unifies linear and overmodulation regions to reduce computational complexity and improve DC-bus voltage utilization while maintaining fundamental voltage accuracy.
This paper introduces and experimentally evaluates five control strategies for swarms of dynamically constrained, forward-only vehicles, demonstrating that centralized Model Predictive Control achieves the lowest mission cost by optimizing curvature and acceleration while maintaining connectivity, whereas distributed MPC maximizes network connectivity at a higher cost and heuristics prioritize specific targets at the expense of overall coverage.
This paper presents the development of an optimization algorithm coupling a Genetic Algorithm with high-frequency simulation to design unconventional microwave resonator geometries that significantly enhance electric field strengths for more efficient and productive false-twist texturing of synthetic fibres.
This paper presents the design, simulation, and experimental validation of an optimized electrochemical-mechanical hybrid polishing electrode that successfully reduces the surface roughness of 316 stainless steel deep long holes from Ra 3.2µm to Ra 0.1µm under specific process parameters.
This study develops and validates a coupled variable-friction model for Ti6Al4V cutting that incorporates temperature, normal stress, and sliding velocity dependencies, demonstrating through inverse identification and ablation analysis that this multi-factor approach significantly improves cutting force prediction accuracy and chip morphology reproduction compared to conventional constant-friction models.
This paper presents an analog neuromorphic system for implantable neural interfaces that utilizes a novel bursting delta modulation technique to achieve superior data compression and robustness compared to conventional methods, enabling low-power, event-driven spike detection and classification of biological action potentials.