The stochastic frontier model with heterogeneous technical efficiency explained by exogenous variables is augmented with a sparse spatial autoregressive component for a crosssection data, and a spatial-temporal component for a panel data. An estimation procedure that takes advantage of the additivity of the model is proposed, computational advantages over simultaneous maximum likelihood estimat...

the determination of temporal and spatial salinity in tidal rivers is significant in supplying water for agriculture purposes, particularly where there is no controller dam at the downstream. in this research, the coherens model was applied to study the hydraulics of water flow, salinity distribution and transmission at the bahmanshir river. coherens is a 3d multi-purpose hydrodynamic model whi...

In the Hierarchical Temporal Memory (HTM) paradigm the effect of overlap between inputs on the activation of columns in the spatial pooler is studied. Numerical results suggest that similar inputs are represented by similar sets of columns and dissimilar inputs are represented by dissimilar sets of columns. It is shown that the spatial pooler produces these results under certain conditions for ...

26 When changing speed during locomotion, both temporal and spatial parameters of the pattern 27 must adjust. Moreover, at slow speeds the step-to-step pattern becomes increasingly variable. The 28 objectives of the present study were to assess if the spinal locomotor network adjusts both temporal and 29 spatial parameters from slow to moderate stepping speeds and to determine if it contributes...

This study describes a novel pediatric upper limb motion index (PULMI) for children with cerebral palsy (CP). The PULMI is based on three-dimensional kinematics and provides quantitative information about upper limb motion during the Reach & Grasp Cycle. We also report key temporal-spatial parameters for children with spastic, dyskinetic, and ataxic CP. Participants included 30 typically-develo...

Rainfall is one of the most important climatic variables in the hydrology cycle. In flood estimation as well as environmental pollution studies in medium to large watersheds not only mus temporal pattern of rainfall t be known, but also the knowledge of its spatial distribution is required. Estimation of daily rainfall distribution without comparison and selection of &#10suitable methods may le...

* Corresponding author. E-mail addresses: [email protected] (J. Cho), sm 1537-5110/$ – see front matter Published by doi:10.1016/j.biosystemseng.2009.01.012 The dynamic agricultural non-point source assessment tool (DANSAT) is a distributedparameter, physically based, and continuous-simulation model for simulating spatial and temporal impacts of best management practices (BMPs) on hydrology and water...

When speed changes during locomotion, both temporal and spatial parameters of the pattern must adjust. Moreover, at slow speeds the step-to-step pattern becomes increasingly variable. The objectives of the present study were to assess if the spinal locomotor network adjusts both temporal and spatial parameters from slow to moderate stepping speeds and to determine if it contributes to step-to-s...

Rainfall is one of the most important climatic variables in the hydrology cycle. In flood estimation as well as environmental pollution studies in medium to large watersheds not only mus temporal pattern of rainfall t be known, but also the knowledge of its spatial distribution is required. Estimation of daily rainfall distribution without comparison and selection of suitable methods may lead...