Background. There have been many studies on partial weight support walking training. However, most studies have been performed in treadmill settings, not in actual walking environments. Objectives. This study aimed to investigate the effect of partial weight support ground walking training on the temporal and spatial gait parameters of chronic stroke patients. Methods. This study was designed...

Objectives: Although for those spinal cord injury (SCI) patients with paralysis of the legs but not at arms, the primary means of mobility post injury is the manual wheelchair, there are many physiological and psychological advantages to standing and walking, such as improvement in respiratory function, lower limb weight bearing and preventing osteoporosis, pressure sores prevention etc. High m...

a considerable part of precipitation falls in the form of snow in golestan watershed. in turn, snowmelt plays a significant role in surface runoff, groundwater feeding and flood propagation in this area. snow cover area (sca) as an indicator of stored water can be implemented for temporal and spatial monitoring of snowmelt in the hydrological models. to monitor spatial and temporal variation of...

introduction: the accuracy of analyzing functional mri (fmri) data is usually decreases in the presence of noise and artifact sources. a common solution in for analyzing fmri data having high noise is to use suitable preprocessing methods with the aim of data denoising. some effects of preprocessing methods on the parametric methods such as general linear model (glm) have previously been evalua...

abstract  background: the brain response to temporal frequencies (tf) has been already reported, but with no study reported for different tf with respect to various spatial frequencies (sf).  materials and methods: fmri was performed by 1.5t ge-system in 14 volunteers during checkerboard, with tfs of 4, 6, 8 and 10hz in low and high sfs of 0.5 and 8cpd.  results: average percentage bold signal ...

 Fitting a suitable covariance function for the correlation structure of spatial-temporal data requires de-trending the data. In this article, some potential models for spatial-temporal trend are presented. Eventually the best model will be announced for de-trending tropospheric ozone concentration data for the city of Tehran (Capital city of Iran). By using the selected trend model, some ...

Spatial-temporal processes are prevalent especially in environmental sciences where, under most circumstances, the processes are non-stationary in time so that their temporal-variability must be captured in traditional spatial models for better estimation and prediction. We propose a Bayesian hierarchical spatial-temporal model to describe the dependence of extreme data on spatial locations as ...