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Furfural oxidation to maleic acid with H2O2 by using vanadyl pyrophosphate and zirconium pyrophosphate supported on well-ordered mesoporous KIT-6
Furfural oxidation to maleic acid with H2O2 by using vanadyl pyrophosphate and zirconium pyrophosphate supported on well-ordered mesoporous KIT-6
Furfural oxidation to maleic acid with H2O2 by using vanadyl pyrophosphate and zirconium pyrophosphate supported on well-ordered mesoporous KIT-6
Soil carbon sequestration potential as affected by soil physical and climatic factors under different land uses in a semiarid region
Soil carbon sequestration potential as affected by soil physical and climatic factors under different land uses in a semiarid region
Soil carbon sequestration potential as affected by soil physical and climatic factors under different land uses in a semiarid region
Influence of mechanochemically fabricated nano-hardystonite reinforcement in polycaprolactone scaffold for potential use in bone tissue engineering: Synthesis and characterization
Influence of mechanochemically fabricated nano-hardystonite reinforcement in polycaprolactone scaffold for potential use in bone tissue engineering: Synthesis and characterization
Efficient photocatalytic decolorization of textile wastewater using Fe-Mo LDH/ZnO nanocomposite: A sustainable approach for environmental remediation
Enhanced photoelectrochemical cathodic protection of stainless steel under visible light using Co3O4-ZnO-modified TiO2 nanotubes
Enhanced photoelectrochemical cathodic protection of stainless steel under visible light using Co3O4-ZnO-modified TiO2 nanotubes
Enhanced photoelectrochemical cathodic protection of stainless steel under visible light using Co3O4-ZnO-modified TiO2 nanotubes
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
Classification of some Iranian Vicia species using SEM image analysis coupled with conventional texture analysis and deep learning