Sharif Digital Repository

The present study was aimed at investigating the relationship between reading comprehension ability as probably the most vital language skill especially in academic contexts (Farrell, 2009) and critical thinking as one of the most debated issues among scholars in modern education (Ku, 2009; Rudd, 2006). To this end, 200 male and female university students studying English Translation and Literature were chosen as the participants who sat for two tests. The first was a reading section of a retired TOEFL test provided by educational testing service in which the participants' scores were regarded as their reading comprehension ability. The second was the California Critical Thinking Skills... 

Recently, nickel oxide nanostructures with NaCl-type structure have a variety of applications due to excellent chemical stability, as well as optical, electrical and magnetic properties. In this research, first by using DC and RF sputtering methods,nickel thin films were deposited on Si (100) and glass lame substrates under different experimental conditions (Discharge power, pressure and growth time).The deposited layers were annealed in air at different temperatures to obtain and compare their crystalline structures. Nickel oxide nanostructures grown on the Si (100) were studied by scanning electron microscopy analysis (SEM) to determines surface morphology, atomic force microscopy (AFM)... 

Reusing valuable materials such as water is one of the ways to achieve sustainable development. Membrane bioreactor technology (MBR) is one of the ways to reuse water and this is an alternative to another way to upgrade existing refinery.Structure and porosity of the membranes used in MBR Systems, porosity distribution, Hydrophilic or hydrophobicity of the membrane and surface roughness are very important Parameters that impact the ultimate performance of membrane bioreactor. Hence, this project focuses on optimization membrane structure to purification a specific type of wastewater. So amount of polymer and nanoparticle membrane for MBR systems should determined by experiment design.In this... 

The main focus of this research is to resolve the semantic ambiguity in Persian. In this study, a semi-supervised machine learning method is proposed to choose the most proper meaning of a target word in the context. Several statistical methods are compared, and the most accurate one is chosen for developing a sense tagger. An initial seed data is built by searching collocation lists for each sense. After developing the sense tagger and initial seed set, a bootstrapping method is used to sense tag all occurences of a target word in corpus with 90% accuracy