Results 211 to 220 of about 3,703,082 (328)
Machine Learning Algorithms to Predict Venous Thromboembolism in Patients With Sepsis in the Intensive Care Unit: Multicenter Retrospective Study. [PDF]
Zhang Y +5 more
europepmc +1 more source
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar +2 more
wiley +1 more source
Creep experiments at 900°C on coarse‐grained steel‐ceramic composites containing recycled magnesia reveal that higher ceramic volume fractions significantly enhance the creep resistance. Detailed EBSD investigations identify subgrain formation in the steel matrix as the dominant deformation mechanism.
Moritz Müller +6 more
wiley +1 more source
Simultaneous estimation of absolute concentrations of chromophores and the differential pathlength factor in forearm muscle using spectral derivatives. [PDF]
Hebden JC.
europepmc +1 more source
Laser Metal Powder Deposition of Titanium Microalloyed HSLA Steel FeC0.12Si0.25Mn1.3
This study investigates the additive manufacturing of titanium‐doped high‐strength low‐alloy (HSLA) steel via laser metal deposition. It reveals distinct process‐structure relationships for elemental powder blends compared to prealloyed feedstocks.
Olaf Stelling +2 more
wiley +1 more source
Latencies of Pulsed Distortion-Product Otoacoustic Emissions and Their Relation to Auditory Brainstem Responses. [PDF]
Dalhoff E, Zelle D, Bader K.
europepmc +1 more source
Carbon nanomaterial‐reinforced epoxy composites exhibit pronounced piezoresistive behavior, enabling intrinsic damage sensing under cyclic and fatigue loading. This review critically compares carbon nanotube and graphene systems, correlating filler content, percolation threshold, and gauge factor with sensing stability and damage evolution.
J. M. Parente +3 more
wiley +1 more source
Prediction of the Unconfined Compressive Strength of One-Part Geopolymer-Stabilized Soil Under Acidic Erosion: Comparison of Multiple Machine Learning Models. [PDF]
Zhang J, Hu G, Zhang J, Wu J.
europepmc +1 more source

