Bioleaching of Heavy Metal from Industrial Incinerator Ash

, M.Sc. Thesis Sharif University of Technology Haddadian, Kamran (Author) ; Shayegan, Jalal (Supervisor)

Abstract

This study focused on the investigation of bioleaching of heavy metals from incinerator ash using Thiobacillus thiooxidans. Eight factors were examined for their significance on bioleaching using a Placket-Burman factorial design. Four significant variables (pulp density, Initial pH, sulfur Concentration and inoculation amount) were selected for the optimization studies. The combined effect of these variables on metal bioleaching was studied using a central composite design. Second order polynomials were established to identify the relationship between the recovery percent of the metals and the four significant variables. The optimal values of the variables for maximum metals bioleaching...

Evaluation of trichloroethylene degradation by starch supported Fe/Ni nanoparticles via response surface methodology

, Article Water Science and Technology ; Volume 73, Issue 4 , 2016 , Pages 935-946 ; 02731223 (ISSN) Nikroo, R ; Alemzadeh, I ; Vossoughi, M ; Haddadian, K ; Sharif University of Technology

IWA Publishing 2016

Abstract

In this study, degradation of trichloroethylene (TCE), a chlorinated hydrocarbon, using starch supported Fe/Ni nanoparticles was investigated. The scanning electron microscope images showed applying water soluble starch as a stabilizer for the Fe/Ni nanoparticles tended to reduce agglomeration and discrete particle. Also the mean particle diameter reduced from about 70 nm (unsupported Fe/Ni nanoparticle) to about 30 nm. Effects of three key independent operating parameters including initial TCE concentration (10.0-300.0 mg L-1), initial pH (4.00-10.00) and Fe0 dosage (0.10-2.00) g L-1 on TCE dechlorination efficiency in 1 hour were analysed by employing response surface methodology (RSM)....

The Development of a Computerized Adaptive Software to Test Written Receptive Vocabulary Knowledge of Foreign Language Learners

, M.Sc. Thesis Sharif University of Technology Haddadian, Golnoush (Author) ; Salehi, Mohammad (Supervisor) ; Jahangard, Ali (Supervisor)

Abstract

Regardless of the extensive research on different aspects of vocabulary and the great emphasis that leading scholars (Meara, 1996; Nation, 990; Read, 1988) placed on the significance of the number of words a learner knows as a substantial component in language learning and vocabulary learning, few investigations have been conducted regarding the size of the vocabulary each language learner knows (Nation, 2012). In addition, Nation (2012) debates the need to combine modern technology and language testing. Therefore, it is necessary to provide innovative methods of testing this knowledge. The present study developed the Computerized Adaptive Test (CAT) of Nation and Beglar’s (2007) Vocabulary...

Detection of Phase Amplitude Coupling Within and Between Different Brain Areas for DBS ON/OFF in Parkinson Disease

, M.Sc. Thesis Sharif University of Technology Haddadian, Farbod (Author) ; Rabiee, Hamid Reza (Supervisor) ; Manzuri Shalmani, Mohammad Taghi (Supervisor)

Abstract

Recent studies of brain activities indicate that Phase-Amplitude Coupling (PAC) between several regions of the brain, are meaningfully related to Parkinson’s Disease. In this research, we have studied PAC as a statistical measure in Parkinsonian patients’ brains while Deep Brain Stimulation treatment with different stimulation frequencies are being applied. In order to do so, we have investigated patients’ brain signals, and estimated PAC between regions of interest; afterwards, by using the estimated PAC values, we have found significant effects of the treatments on parkinsonian brains; furthermore, two treatments that are using 130 Hz and 340 Hz stimuli signals are compared. In this...