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Estimation of Equivalent SCR for Offshore Wind
arXiv:2606.03538v1 Announce Type: new Abstract: The integration of offshore wind power plants (OW-PPs) into weak grids can pose stability challenges due to the interaction between inverter-based resources (IBRs), Flexible AC Transmission Systems (FACTS) and the grid. In this context, long HVAC transmission systems, relatively common for OWPPs, can exacerbate the stability challenges. Therefore, this paper introduces a novel methodology for estimating the equivalent short-circuit ratio (ESCR)...
Europe's take-home pay ranking: Where do you earn the most after tax?
Workers' take-home pay varies dramatically across Europe, with annual net earnings ranging from under €13,000 to more than €54,000. While adjusting for living costs narrows the gap between eastern and western Europe, significant differences remain. A worker earning the average wage takes home more than four times as much in Luxembourg as in Hungary, according to the latest Eurostat figures.
Singapore Airlines limits Business Class advance seat selection based on fare type and membership
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A cryogenic gas target for high-intensity radioactive ion beam production at HIRFL-RIBLL
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A Combined Push-Pull Access Framework for Digital Twin Alignment and Anomaly Reporting
arXiv:2508.21516v2 Announce Type: replace Abstract: A digital twin (DT) contains a set of virtual models of real systems that are synchronized to their physical counterparts. This enables quick experimentation, simulating the consequences of decisions in real time. However, the DT's accuracy depends on timely updates that maintain alignment with the real system.
A Novel Evaluation Metric for Unsupervised Learning in AIS-Based Maritime Anomaly Detection: MADQI
Announce Type: new Abstract: This paper introduces a new systematic framework for detecting anomalies in maritime Automatic Identification System (AIS) datasets. These anomalies include abnormal vessel behaviours related to speed, position jumps, time gaps, and turn angles. Although unsupervised learning algorithms such as Isolation Forest are widely used for detecting anomalous vessel movements, they often lack systematic and meaningful evaluation measures.