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Predicting habitat suitability for the endangered species Hedysarum criniferum Boiss. using a fuzzy model in the semi-arid zone in Iran
Predicting habitat suitability for the endangered species Hedysarum criniferum Boiss. using a fuzzy model in the semi-arid zone in Iran
Evaluation of (GdxY1-x)VO4: Er3+ (x = 0, 0.25, 0.5, 0.75, 1) compounds: Study of crystal structure, microstructure, luminescence and adsorption properties
Phylogenetic Analysis of Phaeosphaeria Species Using Mating Type Genes and Distribution of Mating Types in Iran
Color image segmentation using multi-objective swarm optimizer and multi-level histogram thresholding
Development of a Semi-quantitative Framework to Assess Rockburst Risk Using Risk Matrix and Logistic Model Tree
Effects of different sources and spatial resolutions of environmental covariates on predicting soil organic carbon using machine learning in a semi-arid region of Iran
Effects of different sources and spatial resolutions of environmental covariates on predicting soil organic carbon using machine learning in a semi-arid region of Iran
Comparative evaluation of three nanofilled resin-based dental composites: Cytotoxicity, surface roughness, and flexural properties
Novel octanuclear copper(I) clusters [Cu8{(N)-(?4-S)}4(?3-I)2I2(PPh3)2] produced via reductive S-S bond cleavage of disulfide Schiff base ligands and their use as efficient heterogeneous catalysts in CuAAC click reaction
Novel octanuclear copper(I) clusters [Cu8{(N)-(?4-S)}4(?3-I)2I2(PPh3)2] produced via reductive S-S bond cleavage of disulfide Schiff base ligands and their use as efficient heterogeneous catalysts in CuAAC click reaction
Novel octanuclear copper(I) clusters [Cu8{(N)-(?4-S)}4(?3-I)2I2(PPh3)2] produced via reductive S-S bond cleavage of disulfide Schiff base ligands and their use as efficient heterogeneous catalysts in CuAAC click reaction
Farmers Viewpoints about using Wastewater in Farmlands in Iran
Farmers Viewpoints about using Wastewater in Farmlands in Iran
Improving the performance of macroinvertebrate based multi-metric indices by incorporating functional traits and an index performance-driven approach