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Fabrication and in vitro degradation study of novel optically active polymers derived from amino acid containing diacids and 4 4 -thiobis(2-tert-butyl-5-methylphenol)
Fabrication and in vitro degradation study of novel optically active polymers derived from amino acid containing diacids and 4 4 -thiobis(2-tert-butyl-5-methylphenol)
Effects of sodium selenite and turmeric powder on thyroid hormones and plasma lipids of broiler chickens reared under heat stress condition
EFFECT OF VEGETATION AND SOIL CONDITIONS ON BURROW STRUCTURE AND SITE SELECTION OF RARE DESERT RODENT IRANIAN JERBOA (ALLACTAGA FIROUZI)
Syntheses spectral electrochemical and thermal studies of mononuclear manganese(III) complexes with ligands derived from 1 2-propanediamine and 2-hydroxy-3 or 5-methoxybenzaldehyde Self-assembled monolayer formation on nanostructure zinc oxide thin f
Kinetics of zinc release from ground tire rubber and rubber ash in a calcareous soil as alternatives to Zn fertilizers
Kinetics of zinc release from ground tire rubber and rubber ash in a calcareous soil as alternatives to Zn fertilizers
Prediction of phosphorus content of electroless nickel-phosphorous coatings using artificial neural network modeling
Experimental and PM6/SPARKLE Semiempirical Study of Interaction between 4-Methoxyphenylcyanamide and Gadolinium(III) as a Fast Polymeric Membrane Sensor
Experimental and PM6/SPARKLE Semiempirical Study of Interaction between 4-Methoxyphenylcyanamide and Gadolinium(III) as a Fast Polymeric Membrane Sensor
A study on the effects of silica particle size and milling time on synthesis of silicon carbide nano particles by carbothermic reduction
A study on the effects of silica particle size and milling time on synthesis of silicon carbide nano particles by carbothermic reduction
A study on the effects of silica particle size and milling time on synthesis of silicon carbide nano particles by carbothermic reduction
Techno-economical study of ethanol and biogas from spruce wood by NMMO-pretreatment and rapid fermentation and digestion
Modelling and Predicting the Breaking Strength and Mass Irregularity of Cotton Rotor Spun Yarns Containing Cotton Fiber Recovered from Ginning Process by Using Artificial Neural Network Algorithm