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Fluidity enhancement of hard-to-fluidize nanoparticles by mixing with hydrophilic nanosilica and fluid catalytic cracking particles: Experimental and theoretical study
, Article Physics of Fluids ; Volume 31, Issue 7 , 2019 ; 10706631 (ISSN) ; Rahimvandi Noupoor, Y ; Badamchizadeh, P ; Sharif University of Technology
American Institute of Physics Inc
2019
Abstract
As a low-cost method, hydrophilic SiO2 nanoparticles (NPs) and fluid catalytic cracking (FCC) coarse particles were used as assistant materials to improve the fluidity of Al2O3 and TiO2 hard-to-fluidize nanopowders. To decrease the strong electrostatic forces between the hydrophilic nanopowders, prepared samples were fluidized in the presence of methanol vapor. Results revealed that the amount of SiO2 NPs, increased from 5 to 50 wt. %, has a beneficial effect on the fluidization quality of the binary (hard-to-fluidize NPs + SiO2) and ternary (hard-to-fluidize NPs + SiO2 + FCC) mixtures. However, the amount of FCC particles when it varied from 15 to 30 wt. % in the ternary mixtures should...
Performance Analysis and Power Optimization of Cooperative Networks with Channel Estimation Errors
, Ph.D. Dissertation Sharif University of Technology ; Pakravan, Mohammad Reza (Supervisor) ; Sadeghi, Parastoo (Co-Advisor)
Abstract
Cooperative communications have been introduced to combat degrading effects of fading in wireless networks and attracted much attention recently. This technique provides distributed spatial diversity that enables energy-efficient transmission of information from source nodes to destination nodes via intermediate relay nodes. Most existing protocols, detection techniques and optimization methods in cooperative networks assume that perfect channel state information is available. While in practical situations, the estimates of the channels may only be known and for acquiring such knowledge, a fraction of power and bandwidth have to be spent for channel estimation using pilot symbols. In this...
Increasing the Stability of Enzyme by Immobilization
, M.Sc. Thesis Sharif University of Technology ; Roosta Azad, Reza (Supervisor) ; Tahmasebpoor, Maryam (Co-Supervisor)
Abstract
Almost all of the country's industrial enzyme needs are met through imports. In this regard, much attention has been paid to industrial production of detergent enzymes such as protease, lipase, amylase and cellulase. Proteases, are the most important industrial enzymes with 60% of the world's enzyme market. Extracellular alkaline proteases of microbial origin are most widely used in the laundry detergent industry to help clear protein stains on clothing caused by blood, milk, eggs, and meat. In this study, bacterial alkaline protease enzyme produced by Bacillus subtilis ATCC6633 was used as a model of functional enzymes in detergent industries.Enzyme immobilization-drying operations are one...
Investigating the association of MTHFR C677T gene polymorphism with recurrent spontaneous abortion among azerbaijani women from northwest iran
, Article Genetic Testing and Molecular Biomarkers ; Volume 27, Issue 10 , 2023 , Pages 339-344 ; 19450265 (ISSN) ; Rezaei, A ; Ahmadi, A ; Badamchizadeh, P ; Karimi, Z ; Molaei, F ; Khalaj Kondori, M ; Sharif University of Technology
Mary Ann Liebert Inc
2023
Abstract
Background: Recurrent spontaneous abortion (RSA), defined as two or more succeeding abortions during 20 weeks of gestation, affects 3–5% of pregnancies. Several studies have found that most women with RSA had at least one (and sometimes two copies) of the methylenetetrahydrofolate reductase (MTHFR) C677T variant. Materials and Methods: The study involved 118 women who had two or more spontaneous abortions (SAs) as the case group and 118 women who had at least one live birth but no SA as the control group. Clinical features such as age, body mass index (BMI), medication received, family history of abortion, and thrombophilia were investigated. Real-time PCR was used for genotyping subjects...