فهرست مطالب r. lotfi

Gait is one of the most basic necessities of a child's daily life. Elimination of gait from child’s life leads to various complications. Therefore, in the process of rehabilitation of children with cerebral palsy, gait phase is always of special importance. Today, with the advancement of existing technologies in the field of rehabilitation, the use of new equipments based on modern science to accelerate the process of walking will be very necessary. The purpose of the present study is to investigate the effectiveness of smart dynamic body-weight support system on functional performance and gait improvement in children with cerebral palsy or other neurological diseases.

Eleven children with cerebral palsy, motor delay, and other genetic or acquired neurological diseases were recruited for this study. Before starting an intervention, functional tests consisted of five-repetition sit-to-stand tests, Timed Up and Go Test, Lateral Step Up Test and Berg Balance Scale were taken from participants. The functional tests were taken from the participants at the end of the tenth and twentieth sessions. Training sessions were 20 which consisted of 10 general exercises sessions at first and 10 advanced exercises sessions at the end. The duration of each training session was 20 minutes. Exercises were carried out by smart dynamic body-weight support system. The data were analyzed via Wilcoxon signed-rank tests and Marginal Homogeneity test by SPSS software in 0.1 p-value.

The results showed that the significant difference in Berg Balance Scale exists between first and third assessments (P=0.003, m=12.364), first and second (P=0.003, m=8.636) and also second and third (P=0.028, m=3.727). In 5×SS and TUDS tests the significant difference exists between first and third assessments and first and second times but in TUG test the only significant difference is between first and third times.

The results of study showed that the exercises which were carried out by smart dynamic body-weight support system have led to improvement in functional performance and gait in children.

The dried nitrate-urea gels exhibit the combination of autoicatatric combustion behavior and ultrasonic, whichcan be used to synthesize the nanocatalyst ferrite powders. Cu and Ni Unites nanocatalyst powders sithcomposition of Caned], and NiFe204 were synthesized by a sol-gel auto catalnic combustion process. Themolar ratio between metal ions and urea was 11.2. The sob gel process was done at 80 °C. The nanopaniclecrystallines have been calcined at 800 °C.Combustion behavior and crystallite size of synthesized powders were investigated iyith the help of ScanningElectron Microscopy observation and X-ray diffraction technique. X- ray diffraction and Scanning ElectronMicroscopy were carried out for charactenzation of the powders. The grain size of the prepared femte powdersis found lobe in the range 30-35 mu_

This study was undertaken to estimate genetic trend and parameters of Holstein cattle in Khorasan province for milk yield using a spline random regression test day animal model. A total of 32854 monthly test day milk records (twice and thrice a day milking) obtained from 3842 Holstein heifers (progeny of 466 sires) distributed in 125 herds and calved from 2001 to 2005 was used to predict breeding value of individual animals. In the model, fixed effects of herd including year-month of recording, milking times, age at calving (linear and quadratic covariables), Holstein gene percentage (linear covariable) as well as random effects of additive genetic and permanent environment were studied. To take account of the shape of the lactation curve at genetic and environmental levels, cubic spline polynomials were also included in the test day model. Bayesian method by applying Gibbs sampling technique (100000 chains applying RRGIBBS software) was utilized to obtain posterior means of predicted breeding value of animals for milk yield at individual month of lactation. The results showed that mean of breeding value for 305-day milk yield was 52.90 kg (p<0.05). Spearman rank correlations between predicted breeding values at different months of lactation decreased as the interval between them increased. The highest and lowest rank correlations were found between months 8 and 9 (0.998) and between months 1 and 10 (0.312), respectively. Predicted breeding value of 305-day milk had the lowest and highest rank correlations with predicted breeding value at months 1 (0.553) and 6 (0.990), respectively. Regression analysis of average predicted breeding value of progenies in their birth year showed that the amount of genetic trend for 305 day milk yield was 17.75 kg per year, statistically no different from zero (p value=0.165).