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2. Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression

4. Data Federation Challenges in Remote Near-Real-Time Fusion Experiment Data Processing

5. Machine Learning for the Complex, Multi-scale Datasets in Fusion Energy

11. Predictive Capability Assessment of the PANS--f Model of Turbulence. Part I: Physical Rationale by Reference to Wall-Bounded Flows Including Separation

12. Predictive Capability Assessment of the PANS--f Model of Turbulence. Part II: Application to Swirling and Tumble/Mean-Compression Flows

19. SISO Nonlinear Systems

20. Conclusion

22. ILF for Adaptive Control

23. Introduction

24. Mathematical Preliminaries

27. GaN-Based Sensors

44. Hypernuclear spectroscopy in JLab’s Hall A

49. Evaluation of Evolutionary Algorithms for Multi-objective Train Schedule Optimization

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