Quantitative Elemental Oxides Analysis of Rock Cuttings Using Laser-Induced Breakdown Spectroscopy Coupled with Bayesian Optimization and Support Vector Machine. [PDF]
Abu Alsaud S, Swanson A.
europepmc +1 more source
This article explores what drives households to adopt solar PV and battery systems in South East Queensland. Using hybrid discrete choice experiments, it reveals distinct adopter profiles and highlights cost, system size, and energy independence as key motivators.
Mohammad Alipour +3 more
wiley +1 more source
Privacy-Preserving Collaborative Diabetes Prediction in Heterogeneous Health Care Systems: Algorithm Development and Validation of a Secure Federated Ensemble Framework. [PDF]
Hasan MR, Li J.
europepmc +1 more source
Liver stiffness promotes intrahepatic cholesterol accumulation by repressing LXRα through YAP/TAZ activation. Stiff matrices impair cholesterol efflux in hepatocytes, while YAP/TAZ deletion restores LXRα activity and prevents cholesterol‐induced fibrosis.
Na Young Lee +9 more
wiley +1 more source
Identification and Interpretability Analysis of Shale Reservoir Types: Insights from LightGBM and SHAP Algorithms. [PDF]
Zhang L +7 more
europepmc +1 more source
Logging costs of Aspen [Populus tremuloides]
Zasada, Z.A., Zehngraff, P.J.
openaire +1 more source
High-lead logging costs as related to log size and other variables /
openaire +2 more sources
Heuristically Adaptive Diffusion‐Model Evolutionary Strategy
Building on the mathematical equivalence between diffusion models and evolutionary algorithms, researchers demonstrate unprecedented control over evolutionary optimization through conditional diffusion. By training diffusion models to associate parameters with specific traits, they can guide evolution toward solutions exhibiting desired behaviors ...
Benedikt Hartl +3 more
wiley +1 more source
A generative AI cybersecurity risks mitigation model for code generation: using ANN-ISM hybrid approach. [PDF]
Al-Hashimi HA.
europepmc +1 more source
MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang +5 more
wiley +1 more source

