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Liquid three-phase microextraction based on hollow fiber for highly selective and sensitive determination of desipramine using an ion selective electrode
Liquid three-phase microextraction based on hollow fiber for highly selective and sensitive determination of desipramine using an ion selective electrode
Theoretical Study of Valance Photoelectron Spectra of Hypoxanthine Xanthine and Caffeine Using Direct Symmetry Adapted Cluster/Configuration Interaction Methodology
Optimization of glycerol ketalization to produce solketal as biodiesel additive in a continuous reactor with subcritical acetone using Purolite PD206 as catalyst
Selection of a taxonomic level for soil mapping using diversity and map purity indices a case study from an Iranian arid region
Selection of a taxonomic level for soil mapping using diversity and map purity indices a case study from an Iranian arid region
Effect of groove characteristics on CFRP-to-concrete bond behavior of EBROG joints Experimental study using particle image velocimetry (PIV)
Numerical study of convective heat transfer and fluid flow around two side by side square cylinders using turbulence model
Inelastic buckling of skew and rhombic thin thichness-tapered plates with and without intermediate supports using the element-free Galerkin method
Inelastic buckling of skew and rhombic thin thichness-tapered plates with and without intermediate supports using the element-free Galerkin method
Highly selective differential pulse voltammetric determination of phenazopyridine using MgCr2O4 nanoparticles decorated MWCNTs-modified glassy carbon electrode.
Highly selective differential pulse voltammetric determination of phenazopyridine using MgCr2O4 nanoparticles decorated MWCNTs-modified glassy carbon electrode.
Highly selective differential pulse voltammetric determination of phenazopyridine using MgCr2O4 nanoparticles decorated MWCNTs-modified glassy carbon electrode.
Predicting Tensile Properties of UV Degraded Nylon66/Polyester Woven Fabric Using Regression and Artificial Neural Network Models
Predicting Tensile Properties of UV Degraded Nylon66/Polyester Woven Fabric Using Regression and Artificial Neural Network Models