2026-10-12 18:01 |
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2026-10-12 13:12 |
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2026-10-12 12:55 |
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2026-10-12 12:06 |
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2026-10-12 11:51 |
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2026-10-12 08:18 |
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2026-10-10 16:54 |
[FZJ-2026-04940]
Journal Article
Liebau, D. ; Genster, C. ; Göttel, A. ; et al
Measurement of reactor neutrino oscillation with the first JUNO data
Neutrino oscillations, a quantum effect manifesting at macroscopic scales, are governed by lepton flavour mixing angles and neutrino mass-squared differences that are fundamental parameters of particle physics, representing phenomena beyond the Standard Model. Precision measurements of these parameters are essential for testing the completeness of the three-flavour framework, determining the mass ordering of neutrinos and probing possible new physics. [...]
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2026-10-10 14:20 |
[FZJ-2026-04936]
Journal Article
Xie, C. T. ; Yuan, Z. ; Guo, R.-Y. ; et al
Beyond the prompt for pedestrian traffic and crowd behavior management: PedAgent, a Large Language Model empowered Agent with an integrated simulating-analyzing-optimizing functional chain
Pedestrian walking constitutes the most fundamental mode of urban mobility, yet the recurrent occurrence of pedestrian traffic-related safety accidents, e.g., crowd crushes, underscores the urgent need to enhance the management and safeguarding of pedestrian facilities, particularly those characterized by high-density gatherings (e.g., urban subway stations during peak hours). Although pedestrian flow simulation models and empirically validated management policies exist, they can barely support the full-process requirements of pedestrian traffic and crowd safety management and often operate in isolation rather than forming an integrated solution, e.g, simulation software can generate individual-level trajectories but lacks the capability to derive case-sensitive crowd operation improvement strategies building upon these microscopic information, whereas empirically validated policies are typically tested under fixed boundary conditions, rendering their effectiveness uncertain in real-world pedestrian management scenarios that are highly dynamic and variable. [...]
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2026-10-09 12:08 |
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