Background & Objective: The axial role of the oxidative stress in the pathophysiology of Parkinson disease has been identified. On the other hand, the learning and memory impairment in Parkinson disease has a distinguished outlook. Since Saffron has antioxidative stress effects, the aim of the present study is to investigate the improving effects of Saffron extract on the spatial memory paramet...

Spatial count data is usually found in most sciences such as environmental science, meteorology, geology and medicine. Spatial generalized linear models based on poisson (poisson-lognormal spatial model) and binomial (binomial-logitnormal spatial model) distributions are often used to analyze discrete count data in which spatial correlation is observed. The likelihood function of these models i...

In conventional methods for spatial survival data modeling, it is often assumed that the coefficients of explanatory variables in different regions have a constant effect on survival time. Usually, the spatial correlation of data through a random effect is also included in the model. But in many practical issues, the factors affecting survival time do not have the same effects in different regi...

Background and Amis: Unbalanced spatial distribution of industries in most regions of the developing countries, can be have undesirable economic, environmental and social effects. Understanding the spatial distribution patterns of industries is essential for their planning and distribution in the regions.The aim of present study is to analyze the distribution and spatial patterns of Ardabil ‎pr...

The main objective of this study is to identify factors affecting labor force participation rate of economic and spatial relationships of provinces in Iran. For this purpose, Moran statisticsas univariate and spatial regression (spatial lag model) were used based ondata from the 2011. The results of Moran statisticsas univariate and spatial regression showed that Iran states are cluster status ...