Sharif Digital Repository

The present study examines the effects of participation in a critical reflective online course upon the participants’ identity. The study drew upon both qualitative and quantitative research methodologies. The 38 participants of the study who were first degree students at Sharif University of Technology participated in ten online sessions in which ten prompts concerning intercultural issues were introduced. The data collected in the online course underwent inductive qualitative content analysis which resulted in the extraction of five themes. Following this, 18 participants were interviewed to throw more light on these findings. Qualitative and Quantitative content analyses of the data... 

Using unmanned aerial vehicles in aerial payload carrying leads many changes requiring significant study and research. In recent years, there has been considerable maturation in Micro Aerial Vehicles (MAV) developement especially quadcopters. In addition to the endurance restriction, considerations on volume and weight that can be carried, and safety issues are also obstacles to the development of unmanned aerial payload carrying in urban environments. One of the ways to make a quadcopter more agile while carrying a load is to hang the cargo from the quadcopter via a cable. In this way, it is possible that quadcopters carry the cargo in a cooperative way, which if properly arranged,... 

In each organization, decision-making about products and their impact on the profitability of the organization is vital. Today, with the constant changes and resource constraints, as well as the growing importance of environmental issues for organizations, creating a decision model that considers all of the aformentioned aspects is vital. This study considers ten effective factors related to product portfolio and focuses on maintaining business sustainability in multi-product organizations. First, by assessing the relationship between criteria and products, the priority and weight of each of the criteria by the network analysis process (ANP) method are determined. In the next step, using the... 

The purpose of this study is to evaluate the performance of the optimized conditional source-term estimation approach. This model was first implemented in a computational fluid dynamics code, and then the Bernstein expansion was used to optimize it. For validation, two pre-mixed turbulent flames with different turbulence intensity and equivalence ratios were modeled with the optimized and RANS model. The results were obtained for mass fraction of the main and intermediate species, velocity and temperature examined in different sections. In the first flame, the turbulence intensity is low, and the flame is in the flamelet regimes; As a result, the results obtained with the optimized model are... 

Abnormality detection and prognosis of epileptic patients with artificial intelligence and machine learning techniques is still in its early experimental stages. Surgical candidacy determination for epilepsy depends on the clinical actions which involve an intracranial electrode implantation followed by prolonged electrographic monitoring (EEG phase II) .This invasive test is very costly, painful and time consuming. Here the goal is integration of the two following paradigms: 1-Non invasive multimodality data of epilepsy. 2- Artificial intelligence and machine learning techniques. We have used human brain multi-modality database system that includes patient’s demographics, clinical and EEG...