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Effect of cross-linking time on the thermal and mechanical properties and pervaporation performance of poly(vinyl alcohol) membrane cross-linked with fumaric acid used for dehydration of isopropanol
Effect of cross-linking time on the thermal and mechanical properties and pervaporation performance of poly(vinyl alcohol) membrane cross-linked with fumaric acid used for dehydration of isopropanol
Hydrogen storage properties of Ti0.72Zr0.28Mn1.6V0.4 alloy prepared by mechanical alloying and copper boat induction melting
Hydrogen storage properties of Ti0.72Zr0.28Mn1.6V0.4 alloy prepared by mechanical alloying and copper boat induction melting
Hydrogen storage properties of Ti0.72Zr0.28Mn1.6V0.4 alloy prepared by mechanical alloying and copper boat induction melting
Preparation Characterization and Mechanical Assessment of Poly(Lactide-Co-Glycolide)/ Hyaluronic Acid/ Fibrin/ Bioactive Glass Nano-Composite Scaffolds for Cartilage Tissue Engineering application
An eco-friendly approach for the synthesis of biocompatible poly (vinyl alcohol) nanocomposite with aid of modified CuO nanoparticles with citric acid and vitamin C mechanical thermal and optical properties
Real-time prediction of disc cutter wear in low-abrasive rocks: integrating physico-mechanical properties and signal processing features through machine learning methods
Effects of Calcium Chloride, Ocher, and PP Fibers on the Mechanical Properties of Low Cement High-Performance Concrete with Ca(OH)2-Activated Slag Binder: A Novel Approach
Real-Time Prediction of Disc Cutter Wear in Low-Abrasive Rocks: Integrating Physico-Mechanical Properties and Signal Processing Features Through Machine Learning Methods
Real-Time Prediction of Disc Cutter Wear in Low-Abrasive Rocks: Integrating Physico-Mechanical Properties and Signal Processing Features Through Machine Learning Methods
Effect of sputtering power and substrate bias on microstructure, mechanical properties and corrosion behavior of CoCrFeMnNi high entropy alloy thin films deposited by magnetron sputtering method
Investigating Effective Connectivity within the Default Mode Network in Autism Spectrum Disorder: Insights from Dynamic Causal Modeling of Resting-State fMRI
Investigating Effective Connectivity within the Default Mode Network in Autism Spectrum Disorder: Insights from Dynamic Causal Modeling of Resting-State fMRI
Dynamic-Pix2Pix: Medical image segmentation by injecting noise to cGAN for modeling input and target domain joint distributions with limited training data
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تحت نظارت وف بومی