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Ground motion directionality effects on the base isolated buildings

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  Ground motion directionality effects on the base isolated buildings In the realm of earthquake engineering , understanding the directionality effects of ground motion is critical, especially when designing and evaluating the performance of base-isolated buildings . Base isolation systems are a powerful seismic protection technique that decouples a structure from ground motion by introducing flexible isolators between the building and its foundation. However, the multi-directional nature of seismic ground motion —typically recorded in orthogonal components (e.g., longitudinal, transverse, and vertical)—poses a unique challenge in predicting how base-isolated systems respond under directionally varied seismic inputs . Recent research highlights that directionality of earthquake ground motion can significantly influence displacement demands, torsional effects, and isolator forces . For instance, structures designed under unidirectional assumptions may underperform when subjected t...
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Transport of proton bunches in Luce diode drift tubes

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  Transport of proton bunches in Luce diode drift tubes Transport of Proton Bunches in Luce Diode Drift Tubes – Hashtag Summary (400 words) The transport of proton bunches in Luce diode drift tubes is a critical subject in high-current beam physics, pulsed power systems, and vacuum electronics. A Luce diode is a form of high-power ion diode used to generate intense pulsed proton beams, typically driven by pulsed power machines. These beams are emitted from the diode and guided through a series of drift tubes, where understanding the complex dynamics of space charge effects, beam neutralization, and focusing becomes essential. When proton bunches exit the diode, they enter the drift region, often accompanied by residual electrons and neutralizing plasma. This region, composed of drift tubes, plays a vital role in maintaining the beam’s shape, energy, and direction. The transport mechanisms depend on several parameters such as the beam’s current density, initial energy spread, pulse ...
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Physics-Environment Interaction Network for Dense Crowd Behavior Recognition

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  Physics-Environment Interaction Network for Dense Crowd Behavior Recognition Physics-Environment Interaction Network for Dense Crowd Behavior Recognition In high-density public scenarios such as religious gatherings, concerts, sports arenas, and urban transit hubs, understanding and recognizing crowd behavior is critical to ensuring safety, optimizing infrastructure, and preventing disasters like stampedes. Traditional computer vision approaches often struggle in dense crowd conditions due to heavy occlusion and complex human-environment interactions. To address these challenges, we introduce a novel Physics-Environment Interaction Network (PEIN) — a deep learning framework inspired by physical dynamics and environmental context to accurately recognize behaviors in dense crowds. The PEIN model integrates principles from crowd physics (e.g., social force models, repulsion-attraction dynamics) with scene-aware environmental perception, enabling a more robust and interpretable repr...
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Antisymmetric tensor portals to dark matter

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  Antisymmetric tensor portals to dark matter Exploring Antisymmetric Tensor Portals to Dark Matter: Bridging Hidden Sectors with High-Energy Physics The mystery of dark matter continues to challenge and inspire physicists worldwide. While its gravitational fingerprints are unmistakable, the nature of its interaction with the Standard Model remains elusive. Among the emerging theoretical frameworks, antisymmetric tensor portals offer a compelling and less-explored bridge to the dark sector. These portals typically involve rank-2 antisymmetric tensor fields—akin to the Kalb-Ramond field—mediating interactions between visible and hidden sectors. Unlike scalar or vector portals, antisymmetric tensor portals introduce higher-dimensional operators that may emerge naturally from string theory, extra-dimensional models, or effective field theory descriptions. This theoretical richness opens new possibilities for understanding dark matter's coupling structure, especially in regimes not we...
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Electron beam powder bed fusion process monitoring by in-melt electron analysis

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  Electron beam powder bed fusion process monitoring by in-melt electron analysis Electron Beam Powder Bed Fusion Process Monitoring by In-Melt Electron Analysis Electron Beam Powder Bed Fusion (EB-PBF) has emerged as a leading technique in metal additive manufacturing, offering superior part density, intricate geometries, and excellent mechanical properties. However, ensuring the consistency and reliability of the manufacturing process remains a challenge. To address this, recent advances focus on in-melt electron analysis for real-time process monitoring, a breakthrough in enhancing quality control and reducing defects. In-melt electron analysis involves capturing the behavior of the electron beam and its interaction with the melt pool during the fusion process. This technique leverages the sensitivity of electron beam parameters—such as beam deflection, current fluctuations, and backscattered electron signals—to detect anomalies during the build. Such in-situ data provides imme...
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Most Cited Researcher Award

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                    Most Cited Researcher Award Most Cited Researcher Award: Elevating Global Research Impact The Most Cited Researcher Award is one of the most prestigious accolades in academia, recognizing scholars whose published work has significantly influenced their fields through high citation counts. Citations are more than just numbers; they reflect the relevance, utility, and intellectual leadership of a researcher’s contributions. This award acknowledges individuals whose groundbreaking studies have shaped ongoing research trajectories and global scientific discussions. It is often tied to annual recognitions like the Clarivate Highly Cited Researchers List or the Stanford Top 2% Scientists Database , making it a hallmark of excellence and enduring scholarly impact. Awardees of the Most Cited Researcher distinction are recognized not only for their prolific publishing but also for the consistent quality, originality, and app...
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Modeling the degradation of aggregate properties under neutron radiation

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  Modeling the degradation of aggregate properties under neutron radiation Modeling the Degradation of Aggregate Properties Under Neutron Radiation The degradation of aggregate properties under neutron radiation is a critical concern for materials used in nuclear reactor environments, particularly in reactor pressure vessels, shielding concrete, and structural components. Aggregates, which serve as key constituents in composite materials like concrete, undergo significant microstructural and mechanical transformations when exposed to prolonged neutron irradiation. This degradation can compromise the integrity, mechanical strength, and durability of materials, leading to challenges in maintaining long-term safety and performance in nuclear infrastructures. Neutron radiation induces atomic displacements and generates point defects, dislocation loops, and microcracks in aggregate materials. These defects evolve over time and lead to changes in thermal conductivity, dimensional stabi...
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