aim: the aim of present study was to investigate the relationship between alexithymia construct and personality traits in university students. method: a sample of 112 undergraduate students of shahid chamran university was selected randomly and the 20-item toronto alexithymia scale and neo-ffi were administered to them. to analyze data canonical correlation analysis method was used. results: th...

in financial distress studies selection of variable is commonly basedon the success of variables in variable sets employed in earlierbankruptcy studies, suggestions in the literature or an accompanyingdata reduction in a large set of variables. if seemingly different variablesets exhibit a strong relationship then heterogeneous variable setscapture common information. canonical correlation anal...

during the past decade, the world economic forum has published its annual reports in which the global competitiveness index is included. this paper aims to investigate the key factors for achieving an innovation-driven economy. in this paper, we used partial canonical correlation analysis (pcca) to examine the relationships between key pillars in “efficiency enhancers” and “business sophisticat...

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...