252 papers
This quasi-experimental study demonstrates that a spreadsheet-based learning game designed as a Mindtool significantly enhances undergraduate students' critical thinking skills and evolves their decision-making processes from reliance on single indicators to reflective evidence evaluation in data-driven statistical contexts.
This paper proposes a data-driven framework for constructing spatial weight matrices based on statistical similarity rather than geographical proximity to enhance Space-Time Autoregressive models, demonstrating through global temperature analysis that similarity-based specifications, particularly those using Hamming distance, significantly improve forecasting accuracy compared to conventional contiguity-based approaches.
This study demonstrates that integrating machine learning-based feature selection (specifically BART and SVR) with Bayesian hierarchical spatial models (INLA-SPDE) significantly outperforms traditional stepwise regression in reducing prediction error and bias, thereby yielding more accurate small-area estimates with well-calibrated uncertainty.
This study validates the robustness of SAF1 as the top-ranked sustainable aviation fuel supplier across various fuzzy representations and MCDM methods, while highlighting that although the leading candidate remains consistent, the complete supplier ordering varies and should be treated as a priority for further due diligence rather than an automatic selection.
This paper reanalyzes the Fitzpatrick-17k dataset using chance-corrected statistics to demonstrate that label agreement between annotation sources is highly dependent on the chosen metric and skin-type stratum, revealing significant discrepancies—particularly for darker skin tones—that necessitate transparent reporting of methodology and per-stratum confidence intervals in dermatology AI research.
This study proposes and validates a feedback-gated ordinary differential equation model that utilizes early like-save and comment-share interactions to accurately predict the long-term diffusion trajectory and ignition potential of recommendation-driven short videos, thereby offering creators an interpretable tool for strategic decision-making.
This study successfully culturally adapted and psychometrically validated the Household Water Insecurity Experiences (HWISE) scale for Sidaamu Afoo-speaking women in Ethiopia, demonstrating its unidimensional structure, high reliability, and strong validity through Horn's Parallel Analysis and other statistical methods.
This paper introduces Copula Generalized Fiducial Inference (CGFI), a likelihood-free framework that constructs confidence distributions for estimating-equation models by stochastically inverting empirical equations via a Gaussian copula, offering accurate uncertainty quantification without requiring a full likelihood specification or prior distribution.
This study utilizes historical data from 1960 to 2024 and compares six time-series models to project Somalia's urban population, identifying TBATS and ARIMA as robust forecasting tools that predict the urban population will more than double to 22.2 million by 2050, thereby underscoring the urgent need for proactive urban planning.
This study reveals that in interdisciplinary research, knowledge integration and structural mediation are distinct dimensions with divergent impacts on citation success, as the former does not guarantee a bridging position in citation networks and correlates negatively with citations, while the latter positively predicts citation counts, yet both contribute to cross-field knowledge diffusion.