introduction: hospitals performance indicators will help monitoring, evaluation and decision making and therefore must be selected and ranked accurately. the aim of present study is identifying and selecting key hospitals performance indicators. materials and methods: this is a descriptive and mixed (quantitative-qualitative) study. literature review and expert panel has been done to identify a...

motor imagery is the ability to imagine performing a movement without any action. the time a movement is mentally rehearsed highly correlates with the actual time of motor action. in this study, the effect of voluntary changes in imagery speed on the duration of the actual performance and learning a complex unfamiliar skill, and also the difference between the effects of real-time and fast imag...

Background: Previous studies have shown cycloserine to be neuroprotective in some neurodegenerative disorders. Objectives: To investigate the effect of cycloserine on motor function in Parkinson’s disease in a rat model. Materials and Methods: Fifty-six healthy male wistar rats were used in this study and were divided into seven groups according to receiving saline, low dose (i.e. 100 m...

a motor task performance and imagery show several parallel characteristics. in this study, the effect of a voluntary speed change in mental images of a complex difficult sequence of karate techniques on subsequent motor performance was assessed. 24 male karate volunteers (mean age: 24.58±5.27 years) who were well skilled at performing the sequence movements participated in the pretest. during t...

conclusions based on nitrification and denitrification data, the best condition for nitrifying/ denitrifying performance was obtained by modified-ifas. hence, the modification can be used to obtain the best activities of microbial and nitrogen removal improvement. results employing the bet, surface area (sa), total pore volume (vp), and average size of the nanostructure were 0.4026 m2/g, 3.8089...

in this paper, we propose a new residual analysis method using fourier series transform into fuzzy time series model for improving the forecasting performance. this hybrid model takes advantage of the high predictable power of fuzzy time series model and fourier series transform to fit the estimated residuals into frequency spectra, select the low-frequency terms, filter out high-frequency term...