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Effect of pivotal response treatment on social skill of 6-11 years old autistic children of Hamedan
Fereshteh Mohammad Zaheri,Seyed Majid Rafiei,Mohammad Rezaei,Enayatollah Bakhshi
Pajouhan Scientific Journal , 2013,
Abstract: Introduction: Autism is a lifetime developmental disability that determines with sever problem in social relations, communication and behavior. Regarding social interaction difficulties of these children and weakness of social skill interventions in creation of motivation. In this study we tried to examine effect pivotal response treatment method on social skill of autistic children.Material & Methods: In this randomized control trial (RCT) study, according to inclusion and exclusion criteria, 30 autistic participants (6 to 11 years old) that matched based on age, gender and mean length utterance, from especial clinics of Hamedan’s autistic persons selected and placed randomly in one of groups of intervention and control. Sessions was administered individually, lasting for 60 minutes and 2 days a week for 3 months. Both groups of children were tested before and after intervention by CCC (children’s communication checklist) to assess social skill. Data analysis was done through descriptive statistics tests and covariance analysis.Results: Findings of study showed (according to covariance analysis between before and after of intervention in two groups) there is significant changes in social skill’s ability in intervention group.Conclusion: The result of these study indicated effect of pivotal response treatment on social skills in autistic children, therefore this method recommended for speech and language pathologist.
Effect of the administration of Psidium guava leaves on blood glucose, lipid profiles and sensitivity of the vascular mesenteric bed to Phenylephrine in streptozotocin-induced diabetic rats  [PDF]
Abdol Hassan Mansoori Bahrani, Habib Zaheri, Nepton Soltani, Fatemeh Kharazmi, Mansoor Keshavarz, Mohammad Kamalinajad
Journal of Diabetes Mellitus (JDM) , 2012, DOI: 10.4236/jdm.2012.21023
Abstract: The leaf of Psidium guava is traditionally used in Asia to manage, control and treat diabetes. We designed this study to elucidate the effect of the administration of oral doses of aqueous and ethanol extract from Psidium guava leaves on plasma glucose, lipid profiles and the sensitivity of the vascular mesenteric bed to Phenylephrine in diabetic and non diabetic rats. Animals were divided into 5 groups (n = 10): two groups served as non-diabetic controls (NDC), while the other groups had diabetes induced with a single injection of streptozotocin (STZ). Psidium guava-treated chronic diabetic (PSG-CD) and Psidium guava-treated controls (PSG-C) received 1g/l of Psidium guavaadded to the drinking water for 8 weeks. The mesenteric vascular beds were prepared using the McGregor method. Administration of Psidium guava caused Ca/Mg ratio, plasma glucose, high density lipoprotein (HDL), low density lipoprotein (LDL), very low density lipoprotein (VLDL), total cholesterol and triglyceride concentrations to return to normal levels, and was shown to decrease alteration in vascular reactivity to vasoconstrictor agents. Our results support the hypothesis that Psidium guava could play a role in the management of diabetes and the prevention of vascular complications in STZ-induced diabetic rats.
Vasodilator response to Psidium guajave leaves of mesenteric bed vessels from diabetic and non-diabetic rats  [PDF]
Habeib Zaheri, Golam Reza Farshidfar, Nepton Soltani, Fatemah Kharazmi, Mohammad Kamalinajad
Journal of Diabetes Mellitus (JDM) , 2014, DOI: 10.4236/jdm.2014.41002
Abstract:

Mortality from cardiovascular abnormalities is almost three times more prevalent in the diabetic population than that in the general population. Psidium guajave has been used traditionally for a long time as a medicinal herb to cure diabetes. Endothelial dependent vasorelaxation effect of Psidium guajave extract on normal aortic rings was observed. This study was designed to investigate the endothelium and nitric oxide roles inPGE-induced vasorelaxation in diabetic rat vessel. Diabetes was induced by a single intraperitoneal injection of streptozotocin. Eight weeks later, superior mesenteric arteries of non-diabetic and diabetic groups were isolated and perfused according to the McGregor method. Prepared vascular beds were constricted with phenylephrine to induce 70% - 75% of maximal constriction. Psidium guajave extract at concentrations of 0.1 to 4 mg/100ml added to the medium and perfusion pressure was recorded. Baseline perfusion pressure of diabetic group was significantly higher than non-diabetic rats in both intact and denuded endothelium. Psidium guajave extract caused a significantly dose depended decrease in perfusion pressure in non-diabetic and diabetic groups in both intact and denuded endothelium. In the presence of N (ω)-nitro-L-arginine methyl ester, Psidium guajave ex-tractinduced relaxation in intact mesenteric beds of

Design of a Genetic-Algorithm-Based Steam Temperature Controller in Thermal Power Plants
Ali Reza Mehrabian,Morteza Mohammad-Zaheri
Engineering Letters , 2007,
Abstract:
A New Survey of types of Uncertainties in Nonlinear System with Fuzzy Theory
Fereshteh Mohammadi,Mohammad Bazmara
International Journal of Mechatronics, Electrical and Computer Technology , 2013,
Abstract: This paper is an attempt to introduce a new framework to handle both uncertainty and time in spatial domain. The application of the fuzzy temporal constraint network (FTCN) method is proposed for representation and reasoning of uncertain temporal data. A brief introduction of the fuzzy sets theory is followed by description of the FTCN method with its main algorithms. The paper then discusses the issues of incorporating fuzzy approach into current spatio-temporal processing framework. The general temporal data model is extended to accommodate uncertainties with temporal data and relationships among events. A theoretical FTCN process of fuzzy transition for the imprecise information is introduced with an example. A summary of the paper is given together with outlining some contributions of the paper and future research directions.
A New Approach of Fuzzy Theory with Uncertainties in Geographic Information Systems
Fereshteh Mohammadi,Mohammad Bazmara
International Journal of Mechatronics, Electrical and Computer Technology , 2013,
Abstract: Until now, fuzzy logic has been extensively used to better analyze and design controllers for chemical processes. It has also been used for other applications like parameter estimation of nonlinear continuous-time systems but in general fuzzy logic has been intensively used for heuristics based system. Recently, fuzzy logic has been applied successfully in many areas where conventional model based approaches are difficult or not cost effective to implement. Mechanistic modeling of physical systems is often complicated by the presence of uncertainties. When models are used as purely predictive tools, uncertainty and variability lead to the need for assessment of the plausible range of model outcomes. A systematic uncertainty analysis provides insight into the level of confidence in model estimates, and can aid in assessing how various possible model estimates should be weighed. In this paper, generalized fuzzy α-cut is used to show the utility of fuzzy approach in uncertainty analysis of pollutant transport in ground water. Based on the concept of transformation method which is an extension of α-cuts, the approach shows superiority over conventional methods of uncertainty modeling. A 2-D groundwater transport model has been used to show the utility of this approach. Results are compared with commonly used probabilistic method and normal Fuzzy alpha-cut technique. In order to provide a basis for comparison between the two approaches, the shape of the membership functions used in the fuzzy methods are the same as the shape of the probability density function used in the Monte-Carlo method. The extended fuzzy α-cut technique presents a strong alternative to the conventional approach.
Evaluation of Comparative Management of Expanded Program Immunization for Children in Iran and in the World  [PDF]
Fereshteh Farzianpour, Kobra Bamdad Mehrabani, Nayeb Fadaei Dehcheshmeh, Mohammad Azmal
Health (Health) , 2014, DOI: 10.4236/health.2014.619308
Abstract: Background: EPI is one of the most cost-effective public health interventions that have already been identified. Mass vaccination is one of the most effective public health strategies that lead to a dramatic reduction in the incidence of many infectious diseases. This is a descriptive study (eco-logical exploratory) where data about the status of routine immunization of children under 6 years in 6 selected countries in terms of the routine immunization programs in each country, the coverage and reported cases of vaccine-preventable diseases from 2006 to 2008 were collected assuming that each country is a representative of a Continent; data about the status of Iran were also collected and a comparative study was performed in the next step. It is worth mentioning that selecting these countries was according to health experts to consolidate the data. Collection tools are data of international (WHO and UNICEF) and national organizations of the above countries. In all countries surveyed, triple vaccine, vaccines of polio, hepatitis B, measles, rubella and mumps are part of the routine immunization program for children under the age of 6 years, with the explanation that in South Africa only measles vaccine is injected instead of measles, rubella and mumps vaccines. The coverage rate of the vaccine and other vaccines in Iran was the best compared to other countries. This represents the widespread activity of health care systems of the country in the field of vaccination and tireless efforts of healthcare workers and health centers.
Determining the Quality of Management and Structural Elements of the Epidemiology and Biostatistics Department in Tehran University of Medical Sciences  [PDF]
Fereshteh Farzianpour, Kazem Mohammad, Hossein Malekafzali, Saharnaz Nejat
Journal of Service Science and Management (JSSM) , 2014, DOI: 10.4236/jssm.2014.76040
Abstract: Introduction: The system of quality in higher education requires a systematic evaluation of all of its different aspects. Different patterns of evaluation reveal the strengths and weaknesses of the programs and facilitate the informed decisions. Objectives: The objectives of the present research are as follows: 1) Determining the quality of the structural elements of the Epidemiology and Biostatistics Department; 2) Determining the strengths, weaknesses, opportunities and threats to improve the quality of activities in the department under research. Design: In this research, the efficiency of the department was studied based on the internal self-evaluation. For this purpose, pre-determined indices with relative modifications were used. This study was conducted with the collaboration of the head of the department, faculty members, all of the students (residents, Ph.D. and M.S. students) and the graduates. Through a pilot study the initial rates of the areas under research were first determined by the opinion poll carried out among all the faculty members, then through proper tests, unrelated data were identified and omitted and the final rates were extracted. Results: The mean of the areas under study was 59.8% of which the minimum (37%) was related to the area of aims and objectives and the maximum (72.6%) related to area of the graduates. Conclusions: The graduate domain is one of the key areas under study in the internal evaluation of this department which received a good score.
Classification and Analysis of Frequent Subgraphs Mining Algorithms
Mohammad Reza Keyvanpour,Fereshteh Azizani
Journal of Software , 2012, DOI: 10.4304/jsw.7.1.220-227
Abstract: In recent years, data mining in graphs or graph mining have attracted much attention due to explosive growth in generating graph databases. The graph database is one type of database that consists of either a single large graph or a number of relatively small graphs. Some applications that produce graph database are as follows: Biological networks, semantic web and behavioral modeling. Among all patterns occurring in graph database, mining frequent subgraphs is of great importance. The frequent subgraph is the one that occurs frequently in the graph database. Frequent subgraphs not only are important themselves but also are applicable in other aspects of data analysis and data mining tasks, such as similarity search in graph database, graph clustering, classification, indexing, etc. So far, numerous algorithms have been proposed for mining frequent subgraphs. This study aims to create overall view of the algorithms through the analysis and comparison of their characterizations. To achieve the aim, the existing algorithms are classified based on their graph database and their subgraph generation way. The proposed classification can be effective in choosing applications appropriate algorithms and determination of graph mining new methods in this regard.
Analysis of Nosocomial Infections in Selected Teaching Hospitals, Qazvin, Iran  [PDF]
Fereshteh Farzianpour, Ahad Bakhtiari, Mohsen Mohammadi, Omid Khosravizadeh, Hoda Mossavi, Mohammad Mohseni, Mohammad Mahboubi
Health (Health) , 2014, DOI: 10.4236/health.2014.618279
Abstract: Introduction: Hospital infections prolong patient hospitalization, necessitate additional treatment, increase mortality rate, raise hospital expenses, and even reduce the level of health in the society. The purpose of this research was to study hospital infections in selected hospitals of Qazvin. Methods and Materials: This was an analytic-cross-sectional study. The research population consisted of 25,628 hospitalized patients in the first eight months of 2012 in three selected hospitals of the Qazvin Province. The algorithm of reporting hospital infections, the National Program of Controlling Hospital Infections, and 223 patient files hospitalized due to hospital-acquired infections were used to collect information. The collected information was analyzed using the SPSS V. 17 software; the descriptive statistics was used to analyze the qualitative variables; and the descriptive statistics together with chi-square and t-test were employed for the quantitative variables. Results: The ICU units had the most cases of hospital infections. Respiratory pneumonia and urinary infections topped the list of hospital infections. The most invasive treatments carried out on patients with hospital infections were surgery, urinary catheter, and venous catheter, respectively. More than 50 percent of patients with hospital infections were hospitalized for 2 to 21 days. Results and Conclusions: Because of the high rate of hospital infections, especially in the ICU ward, authorities must give top priority in their plans to designing suitable educational programs to inform hospital staff and patients of hospital infections and to provide suitable resources for dealing with this problem.
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