Focal Interest
Focal Interest

Calibration

  1. AI widens wage gaps between high- and low-skill workers
    Calibrated simulation model shows AI consistently widens wage gaps between high- and low-skill workers, with AI taxation proving more effective than training subsidies at reducing inequality.
  2. Index links land humidity trends to precipitation and temperature
    New index based on precipitation and evapotranspiration ratio reveals land relative humidity decreased substantially since 1973, reconciles climate model discrepancies, and improves hydroclimate.
  3. Integrated calibration improved Nile River model performance
    Integrated sensitivity-optimisation framework for calibrating hydrodynamic and water-quality models applied to the Nile River using Brute-Force analysis and Dual-Annealing optimisation.
  4. Cost-effective FPGA platform records electrophysiological signals faithfully
    FPGA-based modular platform for cost-effective electrophysiological signal acquisition with soft core processor, real-time conditioning, and performance validation against commercial systems.
  5. Hydrological ML accuracy depends on training data quantity and quality
    Analysis of how information quantity and quality in training data affect machine learning prediction accuracy for hydrological variables, using information theory and mechanistic model integration.
  6. Quantitative Analysis of Polyphenols in Lonicera caerulea Based on Mid-Infrared Spectroscopy and Hybrid Variable Selection
    Mid-infrared spectroscopy with hybrid variable selection for quantitative polyphenol analysis in Lonicera caerulea, achieving 92% predictive accuracy in high-dimensional small-sample modeling.