Results 241 to 250 of about 86,959 (305)
A tri‐phase Ni2CoFeV medium‐entropy alloy with fcc, κ, and L12 phases achieves exceptional cryogenic strength‐ductility synergy at 77 K. It delivers a yield strength of 1.4 GPa, an ultimate tensile strength of 2.07 GPa and a tensile ductility of 28%.
Lei Gu +4 more
wiley +1 more source
Real-Time Correction and Long-Term Drift Compensation in MOS Gas Sensor Arrays Using Iterative Random Forests and Incremental Domain-Adversarial Networks. [PDF]
Dong X, Han S.
europepmc +1 more source
A sulfated polysaccharide (SCP) from Cyclocarya paliurus alleviates ulcerative colitis by reshaping the gut microbiome. This remodeled microbiota orchestrates the upregulation of the host‐derived lipid 12‐HEPE, which directly inhibits the TLR4/NF‐κB pathway to suppress inflammation.
Xianxiang Chen +11 more
wiley +1 more source
Explaining Person-by-Item Responses using Person- and Item-Level Predictors via Random Forests and Interpretable Machine Learning in Explanatory Item Response Models. [PDF]
Cho SJ, Amanda G, Salas J, Mueller S.
europepmc +1 more source
A layered bead‐network wallpaper is designed to modulate the light propagation path, overcoming the color residue limitations of thermochromic components for efficient automatic switching between radiative cooling and solar heating modes. The layered bead‐network wallpaper provides passive, all‐season thermal regulation while offering self‐cleaning and
Jianyu Wu +7 more
wiley +1 more source
pyRforest: a comprehensive R package for genomic data analysis featuring scikit-learn Random Forests in R. [PDF]
Kolisnik T +4 more
europepmc +1 more source
This work presents a programmable multimodal information encryption device that harnesses the dynamic wetting behavior of liquid metal to achieve secure, reconfigurable, and high‐precision encryption and decryption of diverse data types, including text and images.
Xuedong Qiang +10 more
wiley +1 more source
Random forests for survival data: which methods work best and under what conditions? [PDF]
Berkowitz M, Altman RM, Loughin TM.
europepmc +1 more source
Strong‐yet‐ductile precipitation‐hardening alloys require novel microstructural complexity of precipitates in particularly at cryogenic condition, to constantly impart strain hardening of hard‐and‐brittle precipitates. The present work creates innovative structurally complex precipitates assembled with dispersed nanocores and a chemical‐heterogeneity ...
Shaohua Gao +9 more
wiley +1 more source
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen +7 more
wiley +1 more source

