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Co-inoculation of Arizona cypress with mycorrhizae and rhizobacteria affects biomass, nutrient status, water-use efficiency, and glomalin-related soil protein concentration
Enhanced dynamic Cu(II) ion removal using hot-pressed chitosan / poly (vinyl alcohol) electrospun nanofibrous affinity membrane (ENAM)
Pd/Cu-Free Heck and C-N Coupling Reactions Using Two Modified Magnetic Chitosan Cobalt Catalysts: Efficient, Inexpensive and Green Heterogeneous Catalysts
Pd/Cu-Free Heck and C-N Coupling Reactions Using Two Modified Magnetic Chitosan Cobalt Catalysts: Efficient, Inexpensive and Green Heterogeneous Catalysts
Preparation and characterization of optically active poly (amide-imide)/TiO2 bionanocomposites containing Ntrimellitylimido-L- isoleucine linkages: Using ionic liquid and ultrasonic irradiation
A game theoretic approach for time-of-use pricing with considering renewable portfolio standard effects and investment in energy storage technologies under government interventions
A game theoretic approach for time-of-use pricing with considering renewable portfolio standard effects and investment in energy storage technologies under government interventions
Nanoencapsulation of oregano essential oil using cellulose nanocrystals extracted from hazelnut shell to enhance shelf life of fruits: Case study: Pears
Two-stage optimization method for design of reinforced concrete frames using optimal pre-determined section database and non-revisiting genetic algorithm
Fusion-based framework for meteorological drought modeling using remotely sensed datasets under climate change scenarios: Resilience, vulnerability, and frequency analysis
Fusion-based framework for meteorological drought modeling using remotely sensed datasets under climate change scenarios: Resilience, vulnerability, and frequency analysis
Porosity tailoring of electrophoretically derived zirconia coatings using acidic and alkaline-based sol-gel post-treatment to enhance anti-corrosion performance
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
Using Statistical Models to Estimate Economic Optimum Nitrogen Fertilizer Rate for Wheat, Safflower, and Canola before and after Fertilizer Subsidy Programs in Iran
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