background: the spread of urbanization in floodplains as well as increase of industrial and agricultural activities in river discharges may lead to water pollution by physical, chemical and biological pollutants. one of the major concerns in monitoring the water resources system is indentifying major quality parameters and determining a relationship between physical and chemical parameters. thi...

Motivated from problems in canonical correlation analysis, reduced rank regression and sufficient dimension reduction, we introduce a double dimension reduction model where a single index of the multivariate response is linked to the multivariate covariate through a single index of these covariates, hence the name double single index model. Since nonlinear association between two sets of multiv...

We present an approach to integrate multiple fMRI datasets in the context of predictive fMRI data analysis. The approach utilizes canonical correlation analysis (CCA) to find common dimensions among the different datasets, and it does not require that the multiple fMRI datasets be spatially normalized. We apply the approach to the task of predicting brain activations for unseen concrete-noun wo...

background: sediments in marine environment have a large capacity in binding with heavy metals; therefore, they are potential pollutants of water resources. the anzali wetland, located in the southern region of the caspian sea, iran, has been consistently threatened by heavy metal pollutants because of urban, agricultural and industrial wastewater inflow. the purpose of this study is to investi...

studies have showed the river siahroud is the main contributor to the present pollution of anzali wetland in guilan. therefore, this study was initiated to evaluate the spatial distribution of metals pollution on the river siahroud sediments in guilan.surfacial river sediment samples along this river were taken during five consecutive seasons at eight sampling stations and analyzed for availabi...