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Enhanced photoelectrochemical cathodic protection of stainless steel under visible light using Co3O4-ZnO-modified TiO2 nanotubes
A two-step soil modeling approach by integrating pedological classification in digital mapping with non-stationary geostatistics
Renewable starch/polyvinyl alcohol nanocomposite foams reinforced by cellulose nanofibers isolated from carrot residues using a chemo-mechanical process
Experimental investigation of the effects of oil asphaltene content on CO2 foam stability in the presence of nanoparticles and sodium dodecyl sulfate
Experimental investigation of the effects of oil asphaltene content on CO2 foam stability in the presence of nanoparticles and sodium dodecyl sulfate
Etemadi regression in chemometrics: Reliability-based procedures for modeling and forecasting
Fabrication and Characterization of Core-Shell Nanofibers: Linseed Oil Encapsulated in Ethyl Cellulose Electrospun Nanofibers
Fabrication and Characterization of Core-Shell Nanofibers: Linseed Oil Encapsulated in Ethyl Cellulose Electrospun Nanofibers
Effect of omega fatty acids sources alone or combined with essential oils on feed intake, apparent digestibility, rumen microbiome and blood metabolites during peripartum period of ewes
Effect of omega fatty acids sources alone or combined with essential oils on feed intake, apparent digestibility, rumen microbiome and blood metabolites during peripartum period of ewes
Effect of omega fatty acids sources alone or combined with essential oils on feed intake, apparent digestibility, rumen microbiome and blood metabolites during peripartum period of ewes
Quality assessment of flax advanced breeding lines varying in seed coat color and their potential use in the food and industrial applications
Quality assessment of flax advanced breeding lines varying in seed coat color and their potential use in the food and industrial applications
Hydraulic jump in a circular stilling basin by using angled baffle blocks
Classification of some Iranian Vicia species using SEM image analysis coupled with conventional texture analysis and deep learning