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Poly(?-caprolactone), zinc oxide nanoparticles, and chitosan scaffold as skin substitutes: mechanical strength and cell viability analysis
Investigating of the Microstructure, Mechanical Properties and Corrosion Behavior of CoCrFeMnNiSix High Entropy Alloy Thin Films Deposited by Co-Sputtering Method
Amine Modified Sodium Alginate: Synthesis, Characterization and In Vivo Evaluation in Rainbow Trout (Oncorhynchus mykiss)
Amine Modified Sodium Alginate: Synthesis, Characterization and In Vivo Evaluation in Rainbow Trout (Oncorhynchus mykiss)
Amine Modified Sodium Alginate: Synthesis, Characterization and In Vivo Evaluation in Rainbow Trout (Oncorhynchus mykiss)
Synthesis of PLA/MgAl2O4 Composite Using Slurry Casting Method: A Study on Biomaterial Properties
Fe3O4@nitrogen-doped carbon@Pd core-double shell nanotubes as a novel nanosorbent for ultrasonic assisted dispersive magnetic solid phase extraction of organophosphorus pesticides
Novel feature extraction in laser light backscattering imaging for real-time monitoring of quince moisture content during hot-air drying
Novel feature extraction in laser light backscattering imaging for real-time monitoring of quince moisture content during hot-air drying
Novel feature extraction in laser light backscattering imaging for real-time monitoring of quince moisture content during hot-air drying
An agar hydrogel-CuNPs/N@CQDs dual-mode colorimetric/fluorescent indicator for non-destructive monitoring of banana ripening
Spatial analysis of hyperspectral images for detecting adulteration levels in bon-sorkh (Allium jesdianum L.) seeds: Application of voting classifiers
Spatial analysis of hyperspectral images for detecting adulteration levels in bon-sorkh (Allium jesdianum L.) seeds: Application of voting classifiers
Spatial analysis of hyperspectral images for detecting adulteration levels in bon-sorkh (Allium jesdianum L.) seeds: Application of voting classifiers
Spatial analysis of hyperspectral images for detecting adulteration levels in bon-sorkh (Allium jesdianum L.) seeds: Application of voting classifiers