Sharif Digital Repository

Neuroblastoma is one of the most common extracranial solid tumors in children, accounting for a significant proportion of childhood cancer cases and associated with high mortality. This study aimed to classify and predict survival and relapse in patients with neuroblastoma based on clinicopathological data collected from patients at the Mahak Pediatric Cancer Hospital. In this context, machine learning algorithms were employed, which, by enabling the analysis of complex data, allowed for more accurate prediction of clinical outcomes. To establish a comprehensive platform for analyzing and evaluating different models, a heterogeneous ensemble framework was designed in this study. By combining... 

It is generally observed that the textbooks employed in the classrooms play a crucial role in the process of teaching and learning a second/foreign language. As a result, a number of studies have been carried out to evaluate English Language Teaching (ELT) materials. Trying to contribute to this growing body of literature, the present study was conducted to evaluate the eight most popular global textbooks which are taught in Iranian ELT institutes in terms of their task types according to Nunan’s (1999) classification of the tasks. Nunan (1999) classified tasks into different groups according to the strategies underpinning them. He divided tasks into five major groups each one consisting...