ملیحه حبیبی

The research aimed to determine the effectiveness of the Floretime play therapy protocol on emotion regulation and severity of autism symptoms in children with autism spectrum. The method of this research was semi-experimental with a pre-test-post-test design with a control group. The research population consisted of all children aged 7-10 years who were referred to the autism centers of Chalus and Tonkabon cities in 1402, from which 30 people were selected as samples and were randomly placed in two groups of 15 people for testing and controls. The experimental group underwent 20 20-minute sessions of full-time play therapy. The research tools were the Emotion Regulation Questionnaire-Children and Adolescent Version (ERQ-CA, Galen and Taff, 2012) and the Gilliam Autism Diagnostic Scale (GARS, Gilliam, 1994). The results of multivariate covariance analysis showed that by controlling the effect of the pre-test, there was a significant difference in the level (P<0.05) between the post-test mean of emotion regulation indicators and symptom severity in the two experimental and control groups. In general, the results obtained from the research showed that Floortime play therapy was effective in regulating the emotions and severity of autism symptoms in children with autism.

Self-learning super-resolution is an approach for enhancing single-image resolution. In this approach, instead of using the external database for learning the relation between low and high resolution image patches, only relation between patches in the input image pyramid are used for learning. In this paper, a novel self-learning single image super-resolution method by focusing on the organization of the low and the corresponding high-resolution information has been presented. In order to provide training data the low-resolution and the corresponding highresolution images are created by down-sampling and up-sampling of the input image in two image pyramids. In this paper, unlike most prior super-resolution methods, the images in the low-resolution pyramid are segmented and then used for the process of super-resolution. Another remarkable point in this paper is dividing all the images of different levels of the pyramid into the same numbers and similar regions. This is done by segmenting the image at the lowest level of the pyramid and generalizing its regions to the higher-level of the pyramid images. Due to the different number of regions in each input image, the number of training models of the proposed method is different for each image and depends on the content of the input image. The result of the experiments shows that the proposed method is quantitatively and qualitatively improved the previous methods.

In this paper, we propose a self-learning single image super-resolution. In our proposed method, adjacent pixels information in smooth area is used. Low and high-resolution pyramids are built by applying up-sampling and down-sampling techniques on input image, as training data. In training phase, we apply support vector regression (SVR) to model the relationship between the pair of low and high-resolution images. For each patch in the low-resolution image, sparse representation is extracted as a feature vector. In this paper, in order to reduce the edge blurring effects, we first separate edge pixels from non-edge pixels. In the smooth area, because of the similar colors around the each pixel, the center pixel value is determined by considering the reconstructed adjacent pixels. Experimental results show that the proposed method is quantitatively and qualitatively outperform the competitive super-resolution approaches.

Based on previous studies it was known that in the most of countries prevalence of nosocomial infections is 6 to 10 percent. However with using right methods of disinfection and antiseptics and sanitation a lot of this infections could be controlled with a low cost. Various mineral and organic antiseptics could be used in hospitals to disinfect. The objective of this study is to possibility of making a liquid disinfectant in method of NaCl electrolysis and study it's application for disinfection of surfaces.
A pilot was designed for this study. Solutions with 5 density of NaCl (1, 3, 5, 7, 10 %) in 4 different pH (2, 4.5, 7, 9.5, 10) was prepared and got under influence of 5 currents (0/2, 0/4, 0/6, 0/8, 1 Ampers). Then a sample gathered from anode column of pilot and was examined on Staphilococus aureus microbial strain based on 9485 standard of ISIRI.
Results from this study showed that increasing density of salt, increasing electrical flow and decreasing pH causes more bacterial mortality in Staphilococus aureus strain.
Results from this study showed that in1- 5% salt density, pH=7 and 1A electrical flow every bacteria in Staphilococus aureus strain will be destroyed completely.

Diabetic foot infections are a potentially severe complication of diabetes. Diabetic foot infections can sometimes lead to long-term debilitation and, in the most severe cases, amputation. They are the most common infections in patients with diabetes, whose weakened immune systems put them at an increased risk of acquiring antibiotic resistant infections.

For this descriptive study, 120 diabetic patients (30 women and 90 men age ranged between 45-65 years and disease duration of 0.5 to 37 years) were investigated. Immediately after the hospitalization, specimens from infected foot lesions were taken using Thio and BHI as transport medium. Aerobic cultures were carried out in all cases according to conventional methods while anaerobic cultures were performed when appropriate. Finally, susceptibility tests were performed on isolated microorganism.

Totally, 75% of cases were polymicrobial infections. We isolated gram positive cocci 95%, gram positive bacilli 35%, gram negative 55% and mycobacterium 10%. Meanwhile, we found that 12.5% of our bacteria were anaerobic and 87.5% were facultative aerobic bacteria. In antimicrobial susceptibility testing, Rifampin was the most effective antibiotic against S.aureus and peptostreptococcus. Surprisingly, E.coli was resistant to all tested antibiotics.

Diabetic foot infections have a polymicrobial nature. Antibiotic treatment of infections should be prescribed on the results of microbiological investigation.