Objective: The aim of this study is to investigate the correlation between neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) with nonalcoholic fatty liver disease (NAFLD). Methods: All subjects underwent medical check-ups, which included the measurement of basic clinical, biochemical tests and imaging tests. Univariate and multivariate logistic regression models and piece-wise linear regression were used to assess the relationship between NLR and PLR with NAFLD. Results: All participants were divided into two groups: the Non-NAFLD group and the NAFLD group. Univariate analysis model indicated PLR was negatively correlated with NAFLD (P < 0.001) and NLR was not significantly associated with NAFLD (P > 0.05). Multiple logistic regression showed that no correlation between NLR and PLR with NAFLD after adjusting all covariates (P > 0.05). Interestingly, a nonlinear association was detected between NLR and PLR with NAFLD by piece-wise linear regression adjusting for all confounding factors. The inflection points of NLR and PLR were 1.23 and 42.29, respectively. On the left side of the inflection point (NLR < 1.23), a positive correlation was detected between NLR and NAFLD (β = 2.35, 95% CI: 1.20~4.61, P = 0.013). And PLR was found to be negatively associated with NAFLD on the right side of the inflection point (β = 0.99, 95% CI: 0.98~0.99, P < 0.001). Conclusion: This study demonstrated that the relationship between NLR and PLR with NAFLD was nonlinear after adjusting for potential confounding factors. The result suggested that PLR ≥ 42.29 might be a protective factor of NAFLD, while NLR < 1.23 might be a risk factor of NAFLD.

The Discrete Element Method (DEM) is an important tool for investigating the geotechnical properties of lunar regolith. The accuracy of DEM simulations largely depends on precise particle modeling and the appropriate selection of mesoscopic parameters. To enhance the reliability and accuracy of the DEM in lunar regolith studies, this paper utilized the high-fidelity IRSM-1 lunar regolith simulant to construct a DEM model with realistic particle shapes and conducted an angle of repose (AoR) simulation test. The optimal DEM parameters were calibrated using a combination of the Plackett–Burman test, steepest ascent test, and Box–Behnken design. The results indicate that the sliding friction coefficient, rolling friction coefficient, and surface energy significantly influence the simulation AoR. By optimizing against the measured AoR using a second-order regression model, the optimal parameter values were determined to be 0.633, 0.401, and 0.2, respectively. Under these optimal parameters, the error between the simulation and experimental AoR was 2.1%. Finally, the calibrated mesoscopic parameters were validated through a lifting cylinder test, showing an error of 6.3% between the simulation and experimental results. The high similarity in the shape of the AoR further confirms the accuracy and reliability of the parameter calibration method. This study provides a valuable reference for future DEM-based research on the mechanical and engineering properties of lunar regolith.