ABSTRACT Public organisations often experience a discrepancy between improvements in technical efficiency and stakeholders' perceptions of integrity and performance. This study analyses the mechanisms that may underlie this efficiency–perception discrepancy in Spanish Defence Delegations during 2020–2023.
José Solana‐Ibáñez +1 more
wiley +1 more source
An interpretable Convex Stacking with Guarded Calibration ensemble approach for predicting rock fragmentation in mine blasting. [PDF]
Lin C, Sun X, Mai J, Liu B, Cheng P.
europepmc +1 more source
How artificial intelligence (AI) and digital twin (DT) technologies are revolutionizing tunnel surveillance, offering proactive maintenance strategies and enhanced safety protocols. It explores AI's analytical power and DT's virtual replicas of infrastructure, emphasizing their role in optimizing maintenance and safety in tunnel management.
Mohammad Afrazi +4 more
wiley +1 more source
Deciphering the predictors of endometrial nonbenign lesions in asymptomatic postmenopausal women via explainable machine learning. [PDF]
Yang L +13 more
europepmc +1 more source
An overview of grain boundary engineering in the field of electrocatalysis. ABSTRACT Key electrocatalytic reactions such as HER, OER, ORR, CO2RR, and NRR offer promising routes for storing renewable energy as chemical fuels. However, their widespread application is constrained due to the lack of highly active and stable catalysts. Grain boundaries (GBs)
Jingyu Gao +8 more
wiley +1 more source
Interpretable predictive model for listed companies ESG greenwashing based on XGBoost and SHAP. [PDF]
Jianfeng Z, Tiantian Q.
europepmc +1 more source
Corr-SHAP: Correlation-Aware Sampling for Faithful SHAP Value Estimation
Ridha El Hamdi +3 more
openaire +1 more source
AI‐Driven Precision Annealing for High Performance Fe‐Based Amorphous Alloys
The four stages of the research process are as follows: First, data is collected and a database is constructed. This is followed by feature selection and analysis, then the establishment of machine learning models, and finally formulation design and preparation.
Yichuan Tang +13 more
wiley +1 more source
Stratify severe risk in children with respiratory syncytial virus pneumonia-A retrospective study based on machine learning and SHAP interpretation. [PDF]
Pan JA +5 more
europepmc +1 more source
Machine‐Learning‐Enabled Wood with Nanopump Functionalization for Solar Interfacial Evaporation
This study employed machine learning to design an iron‐cobalt‐carbon‐wood photothermal material, achieving high‐efficiency evaporation at 2.807 kg m−2 h−1 and excellent salt resistance. The integrated system increased the daily water production efficiency of solar distillation by 1.5 times, providing an innovative solution for sustainable seawater ...
Chaohai Wang +10 more
wiley +1 more source

