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Energy harvesting of nanofluid-conveying axially moving cylindrical composite nanoshells of integrated CNT and piezoelectric layers with magnetorheological elastomer core under external fluid vortex-induced vibration
Water Stress and Seed Color Interacting to Impact Seed and Oil Yield, Protein, Mucilage, and Secoisolariciresinol Diglucoside Content in Cultivated Flax (Linum usitatissimum L.).
Water Stress and Seed Color Interacting to Impact Seed and Oil Yield, Protein, Mucilage, and Secoisolariciresinol Diglucoside Content in Cultivated Flax (Linum usitatissimum L.).
Water Stress and Seed Color Interacting to Impact Seed and Oil Yield, Protein, Mucilage, and Secoisolariciresinol Diglucoside Content in Cultivated Flax (Linum usitatissimum L.).
Antibacterial activity and shear bond strength of fiber?reinforced composites and bonding agents containing 0.5%, 1%, 2.5%, and 5% silver nanoparticles
Study on MoS <sub>2</sub> /Fe-MIL?88NH <sub>2</sub> Transition metal dichalcogenide/Metal?organic framework as a novel composite for highly adsorption of methylene blue dye from aqueous solutions
Numerically studying the degeneracy problem in extreme finite-source microlensing events
Removal of different vat dyes by Aspergillus niger: A comparative study focusing on the molecular structure
Removal of different vat dyes by Aspergillus niger: A comparative study focusing on the molecular structure
Experimental and Numerical Study of a Novel Unidirectional Mechanical Power Take-Off System for Two-Body Wave Energy Converters
Experimental and Numerical Study of a Novel Unidirectional Mechanical Power Take-Off System for Two-Body Wave Energy Converters
An empirical analysis for software robustness vulnerability in terms of modularity quality
A Comparative Study of Discrete Direction vs. Continuous Distance-Based Cost Function in Energy Classification
Digital mapping of soil phosphorous sorption parameters (PSPs) using environmental variables and machine learning algorithms
Digital mapping of soil phosphorous sorption parameters (PSPs) using environmental variables and machine learning algorithms