Finding Contents or People

Feeding corn germ instead of corn grain on the performance of Holstein dairy cows fed low-forage diet and human-edible feed conversion efficiency
Feeding corn germ instead of corn grain on the performance of Holstein dairy cows fed low-forage diet and human-edible feed conversion efficiency
Annealing texture in asymmetrically rolled Ni1.5FeCrCu0.5 high-entropy alloy
Vibration Analysis of Piezoelectric Carbon Nanotube Considering Surface Effects, Located in the Magnetic Field and Resting on Nonlinear Viscoelastic Foundation
Performance, structural growth, and digestibility by Holstein calves fed different amounts of milk through step-up/step-down or conventional methods
Performance, structural growth, and digestibility by Holstein calves fed different amounts of milk through step-up/step-down or conventional methods
Performance, structural growth, and digestibility by Holstein calves fed different amounts of milk through step-up/step-down or conventional methods
Measurement of the inclusive and differential t$$ \overline{t} $$? cross sections in the dilepton channel and effective field theory interpretation in proton-proton collisions at $$ \sqrt{s} $$ = 13 TeV
Interaction of colostrum pasteurization with probiotics supplementation on health and performance of Holstein calves
Interaction of colostrum pasteurization with probiotics supplementation on health and performance of Holstein calves
In situ hydrogenation of phenol using sodium formate in an aqueous medium on unmodified palladium catalysts supported on KIT-5: Investigation of calcination temperature effect
CoNiSe2/Fe-CoNiSe2 Yolk-Shell Nanoboxes from Metal-Organic Frameworks for High-Performance Supercapacitor
CoNiSe2/Fe-CoNiSe2 Yolk-Shell Nanoboxes from Metal-Organic Frameworks for High-Performance Supercapacitor
The Effect of Stern Layer Thickness on the Diffuse Capacitance for Size Asymmetric Electrolyte inside the Charged Spherical Cavities by Density Functional Theory
Effects of different sources and spatial resolutions of environmental covariates on predicting soil organic carbon using machine learning in a semi-arid region of Iran