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The use of low duty cycle pulsed-unipolar current mode for producing Alumina/ZnO nanocomposite coatings via plasma electrolytic oxidation process
Pd/Cu-Free Heck and C-N Coupling Reactions Using Two Modified Magnetic Chitosan Cobalt Catalysts: Efficient, Inexpensive and Green Heterogeneous Catalysts
Thermal Stress Analysis of a Continuous and Pulsed End-Pumped Nd:YAG Rod Crystal Using Non-Classic Conduction Heat Transfer Theory
Effect of V2O5 particles size on oxidation of m-xylene: Vapor-phase oxidation of m-xylene by using V2O5 encapsulated into the TiO2 lattice as an efficient and reusable catalyst
Quenching-free chemiluminescence method for ranking the antioxidants and inhibition of AAPH-induced membrane peroxidation of red blood cells using new aminophenol derivative
Quenching-free chemiluminescence method for ranking the antioxidants and inhibition of AAPH-induced membrane peroxidation of red blood cells using new aminophenol derivative
Exergoeconomic and exergoenvironmental co-optimization of continuous fuel additives (acetins) synthesis from glycerol esterification with acetic acid using Amberlyst 36 catalyst
Comparative study for removal of cationic and anionic dyes using alginate-based hydrogels filled with citric acid-sawdust/UiO-66-NH2 hybrid
Comparative study for removal of cationic and anionic dyes using alginate-based hydrogels filled with citric acid-sawdust/UiO-66-NH2 hybrid
Nanoencapsulation of oregano essential oil using cellulose nanocrystals extracted from hazelnut shell to enhance shelf life of fruits: Case study: Pears
Assessing Flood Hazard Using Gis Based Multicriteria Decision Making Approach Study Area East-Azerbaijan Province (Kaleybar Chay Basin)
Fully-Automated Segmentation of Fluid/Cyst Regions in Optical Coherence Tomography Images with Diabetic Macular Edema using Neutrosophic Sets and Graph Algorithms
Fully-Automated Segmentation of Fluid/Cyst Regions in Optical Coherence Tomography Images with Diabetic Macular Edema using Neutrosophic Sets and Graph Algorithms
A new efficient feature-combination-based method for dynamic texture modeling and classification using semi-random starting parameter dynamic Bayesian networks
A new efficient feature-combination-based method for dynamic texture modeling and classification using semi-random starting parameter dynamic Bayesian networks