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Thermomechanical Fatigue of Unidirectional Carbon Fiber/Epoxy Composite in Space
Published 2020-01-01Get full text
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Psychiatric comorbidities in children with conduct disorder: a descriptive analysis of real-world data
Published 2024-04-01Get full text
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Two-Stage Adaptive Optimal Design with Fixed First-Stage Sample Size
Published 2012-01-01Get full text
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Are the acute phase proteins related to anestrus in primiparous water buffaloes? Preliminary results
Published 2023-11-01Get full text
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Engineered Porous Carbon for High Volumetric Methane Storage
Published 2014-08-01Get full text
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Digital twin-centered hybrid data-driven multi-stage deep learning framework for enhanced nuclear reactor power prediction
Published 2025-01-01“…By leveraging a combination of feed-forward neural networks with both classification and regression stages, and training on a unique dataset that integrates real-world measurements of reactor power and controls state from the Missouri University of Science and Technology Reactor (MSTR) with noise-enhanced simulated data, our approach achieves remarkable accuracy (96% classification, 2.3% MAPE). …”
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Nucleic-Acid-Binding Chromophores as Efficient Indicators of Aptamer-Target Interactions
Published 2012-01-01Get full text
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Using Enstrophy-Based Diagnostics in an Ensemble for Two Blocking Events
Published 2013-01-01Get full text
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Influenza Viral Manipulation of Sphingolipid Metabolism and Signaling to Modulate Host Defense System
Published 2014-01-01Get full text
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Classification of Teleseismic Shear Wave Splitting Measurements: A Convolutional Neural Network Approach
Published 2022-06-01Get full text
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