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Iron-catalyzed cross-coupling reaction recyclable heterogeneous iron catalyst for selective olefination of aryl iodides in poly(ethylene glycol) medium
Highly Selective Sensitive and Fast Determination of Folic Acid in Food Samples Using New Electrodeposited Gold Nanoparticles by Differential Pulse Voltammetry
Highly Selective Sensitive and Fast Determination of Folic Acid in Food Samples Using New Electrodeposited Gold Nanoparticles by Differential Pulse Voltammetry
Highly Selective Sensitive and Fast Determination of Folic Acid in Food Samples Using New Electrodeposited Gold Nanoparticles by Differential Pulse Voltammetry
Highly selective electrochemical biosensor for the determination of folic acid based on DNA modified-pencil graphite electrode using response surface methodology
Highly selective electrochemical biosensor for the determination of folic acid based on DNA modified-pencil graphite electrode using response surface methodology
Tangency Portfolios in the LP Solvable Portfolio Selection Models
Application of Taguchi and Full Factorial Experimental Design to Model the Color Yield of Cotton Fabric Dyed with 6 Selected Direct Dyes
Application of Taguchi and Full Factorial Experimental Design to Model the Color Yield of Cotton Fabric Dyed with 6 Selected Direct Dyes
Intelligent Selection of Calibration Points Using a Modified- Progressive Polynomial Method
Application of Taguchi and Full Factorial Experimental Design to Model the Color Yield of Cotton Fabric Dyed with Six Selected Direct Dyes
Application of Taguchi and Full Factorial Experimental Design to Model the Color Yield of Cotton Fabric Dyed with Six Selected Direct Dyes
A highly sensitive and selective bulk optode based on benzimidazol derivative as an ionophore and ETH5294 for the determination of ultra trace amount of silver ions
Review of Medical Image Classification using the Adaptive Neuro-Fuzzy Inference System
Effect of salinity on seed oil content and fatty acid composition of safflower (Carthamus tinctorius L.) genotypes
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تحت نظارت وف بومی