Focal Interest
Focal Interest

Measure (data warehouse)

  1. Graph correlations test independence between binary networks
    Framework for testing conditional and unconditional independence between binary graphs using community correlations and graph encoder embeddings.
  2. Skewness and kurtosis explain much of lifespan disparity
    Analysis of 41 countries shows how skewness and kurtosis of age-at-death distributions explain mortality compression trends and lifespan disparity patterns from 1751–2019.
  3. Trusted contact adoption remains low among eligible investors
    Study of retail investor compliance with FINRA trusted contact rule using national financial capability data, showing literacy and social trust as key determinants.
  4. Bayesian updating is characterized for a class of atomic probabilities
    Characterization of probability measures where Bayesian updating via conditional probability formula constitutes the unique updating mechanism under relational assumptions
  5. Positive experiences and appraisals predict social motivation in schizophrenia
    Study using real-time assessments to predict how social motivation influences social interactions in schizophrenia, identifying positive experiences and performance feedback as key factors.
  6. Several bank and macroeconomic factors affect non-interest income
    Panel study of non-interest income determinants in Vietnamese commercial banks (2011-2023) using random-effects FGLS estimation, examining bank-specific and macroeconomic factors.
  7. Transformer method measures inter-party communication
    Transformer-based approach for automated measurement of inter-party communication in representative democracies, with applications to coalition signals and negative campaigning analysis.
  8. 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.
  9. Performance optimization methods for PLUMED calculations
    Learn PLUMED performance optimization techniques for molecular dynamics analysis. Discover vectorization strategies and benchmarking methods to reduce computational overhead in complex descriptor.