Samira Abbasi

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Drought is one of the most important factors that limits N fixation, growth and yield of soybean. 2 The aim of this study was to determine the effects of water stress, starter N application and seed inoculation on yield and yield components of soybean (cv. Williams). The experiment was conducted in 2010 at the Islamshahr town that located in 12 km of(More)
OBJECTIVE Intra-peritoneal administration of riluzole has been shown to preserve the membrane properties and firing characteristics of Purkinje neurons in a rat model of cerebellar ataxia induced by 3-acetylpyridine (3-AP). However, the exact mechanism(s) by which riluzole restores the normal electrophysiological properties of Purkinje neurons is not(More)
INTRODUCTION Loss of inhibitory output from Purkinje cells leads to hyperexcitability of the Deep Cerebellar Nuclei (DCN), which results in cerebellar ataxia. Also, inhibition of small-conductance calcium-activated potassium (SK) channel increases firing rate of DCN, which could cause cerebellar ataxia. Therefore, SK channel activators can be effective in(More)
BACKGROUND Multiple sclerosis is accompanied by secondary clinical signs such as insomnia. Considering the side effects of drugs and also increasing acceptability of psychotherapy methods in health systems, we aimed to determine the effect of group cognitive behavioral therapy on the quality of sleep in women with multiple sclerosis in 2014. METHODS This(More)
Purkinje neurons are the sole output neuron of the cerebellar cortex, and they generate high-frequency action potentials. Electrophysiological dysfunction of Purkinje neurons causes cerebellar ataxia. Mutant med mice have the lack of expression of the Scn8a gene. This gene encodes the NaV1.6 protein. In med Purkinje neurons, regular high-frequency firing is(More)
This work proposes feature extraction of lung sounds using wavelet coefficients and their classification by neural network and support vector machines. The lung sounds were classified into 6 classes. The results stated the advantages of a support vector machines for the classification of normal and abnormal lung sounds, and indicated that SVMs are a highly(More)
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