Results 211 to 220 of about 116,477 (304)
Genomic selection strategies and their potential to maintain rare alleles and de-novo mutations: a long-term assessment. [PDF]
Schrauf MF +3 more
europepmc +1 more source
Composite Ti–6Al–4V–epoxy lattice structures are additively manufactured and epoxy infiltrated for cyclic loading. At low lattice volume fractions, hybridization produces synergistic gains in stiffness and energy dissipation. At higher volume fractions, synergy diminishes, although composites still exceed metallic lattices in specific energy ...
Joey Tallon +3 more
wiley +1 more source
Accuracy of genomic prediction for milk production traits in Mehsana buffalo. [PDF]
Patel MR +7 more
europepmc +1 more source
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
A comparison of different selection indexes for some economic traits in Holstein Friesian cows. [PDF]
Kassab RA +8 more
europepmc +1 more source
Experimental Characterization of Mycelium‐Based Composites Under Multiple Loading Conditions
This study examines the mechanical response of mycelium‐based composites under compression, shear, and tension using mechanical testing and imaging methods. The comparison between unpressed and hot‐pressed specimens shows that hot pressing is associated with higher compression and shear stiffnesses.
Shaghayegh Elahi +5 more
wiley +1 more source
Study of survival of Holstein cattle of Iran using random regression and single-step BLUP. [PDF]
Afrazandeh M, Tourchi JJ, Kazemi A.
europepmc +1 more source
Genome wide screening of candidate genes for improving piglet birth weight using high and low estimated breeding value populations. [PDF]
Zhang L +5 more
europepmc +1 more source
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source

