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Uncertainty Quantification of Satellite-Based Essential Climate Variables Derived from Deep Learning
Survey of uncertainty quantification methods for satellite-based climate variables derived from deep learning, addressing aleatoric and epistemic uncertainties in ECV estimation.
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Graphing instruction benefits K–12 STEM learning
Systematic review of 54 empirical studies examining graphing numerical data in K-12 STEM education, analyzing instructional effectiveness and student difficulties.
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Report reviews laws affecting women’s economic inclusion
Analysis of laws and regulations affecting women's economic inclusion across 190 economies using eight indicators covering career stages from entry to retirement.
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Asymptotic theory of range-based multipower variation
Realized range-based multipower variation theory for jump-robust volatility estimation in sparse high-frequency asset price data with microstructure noise considerations.
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A benchmark of expert-level academic questions to assess AI capabilities
HLE benchmark reveals substantial gap between state-of-the-art LLMs and expert human performance on 2,500 closed-ended academic questions across mathematics, humanities, and natural sciences.
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Stimulating Higher Order Thinking in Mechatronics by Comparing PID and Fuzzy Control
Implementation of an open-ended mechatronics project requiring student-generated evaluation criteria for comparing PID and fuzzy control methodologies to develop higher order thinking skills.