User modeling plays an important role in delivering customized web services to the users and improving their engagement. However, most user models in the literature do not explicitly consider the temporal behavior of users. More recently, continuous-time user modeling has gained considerable attention and many user behavior models have been proposed based on temporal point processes. However, t...

teleworking as an innovative way has many benefits in governmental, organizational and individual levels, but it faced with different variables in plan and implementation which is caused to low acceptance rate in organizations. by identifying and controlling these variables, managers and decision-makers can use teleworking programs in their organizations. the aim of this study is to investigate...

patients and methods in this cross-sectional study, data of 584 female patients (mean age of 45.9 years) referred to breast cancer research center (tehran, iran) were analyzed anonymously. spss and norm softwares (2.03) were used for data transformation, running and interpretation of cca and replacing missing values, respectively. data were obtained from breast cancer research center, tehran, i...

Abstract. Residential segregation as a known consequence of rapid urbanization in developing countries is complicated socio-economic phenomenon. Quantified description, analysis, and prediction urban dynamics complex system have always been challenging issues. The recent intensive developments multi-agent simulations solution to these problems still lack enough real-world examples. Our purpose ...

OBJECTIVE There have been contradictory findings on the relationship between Socioeconomic Status (SES) and child development although SES is associated with child development outcomes. The present study intended to define the relationship between SES and child development in Tehran kindergartens, Iran. MATERIALS & METHODS This cross-sectional survey studied 1036 children aged 36-60 month, in...

Modelling and forecasting Stock market is a challenging task for economists and engineers since it has a dynamic structure and nonlinear characteristic. This nonlinearity affects the efficiency of the price characteristics. Using an Artificial Neural Network (ANN) is a proper way to model this nonlinearity and it has been used successfully in one-step-ahead and multi-step-ahead prediction of di...