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Fostering Peer Learning With a Game-Theoretical Approach in a Blended Learning Environment
Fostering Peer Learning With a Game-Theoretical Approach in a Blended Learning Environment
Fostering Peer Learning With a Game-Theoretical Approach in a Blended Learning Environment
Novel bipolar magnetic semiconductor materials formed by adsorption of methyl or halomethyles on the graphene: A spin-polarized density functional theory study
Seed yield stability with modified essential oil content and composition in self-compatible progenies of bitter fennel (Foeniculum vulgare Mill.)
Seed yield stability with modified essential oil content and composition in self-compatible progenies of bitter fennel (Foeniculum vulgare Mill.)
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
An Approach to Modeling and Simulating Resiliency in Multidisciplinary Microservice Networks
Ranking and evaluation of financial efficiency of pharmaceutical companies accepted in Tehran Stock Exchange with the approach of data envelopment analysis and multi-criteria decision making
An integrated model of network Data Envelopment Analysis and principal component analysis approach to calculate the efficiency of industrial units (A Case study of the Stone Industry)
An integrated model of network Data Envelopment Analysis and principal component analysis approach to calculate the efficiency of industrial units (A Case study of the Stone Industry)
Performance Prediction of Thin-Walled Tube Energy Absorbers Using Machine Learning
Dimensional optimization of a two-body Wave energy converter using response surface methodology