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Search Results: 1 - 10 of 12825 matches for " Mohammad Abravesh "
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Chemical Composition of the Essential Oils of Four Cultivated Eucalyptus Species in Iran as Medicinal Plants (E. microtheca, E. spathulata, E. largiflorens and E. torquata)
Fatemeh Sefidkon,Mohammad Hassan Assareh,Zahra Abravesh,Mohammad Mehdi Barazandeh
Iranian Journal of Pharmaceutical Research , 2007,
Abstract: The leaves of four cultivated Eucalyptus species, Eucalyptus microtheca var. Microtheca F.Muell., Eucalyptus spathulata, Eucalyptus largiflorens and Eucalyptus torquata were collected in spring from Kashan and Isfahan provinces (central region of Iran). After drying the plant materials in shade, their essential oils were obtained by hydro-distillation. The oils were analyzed by capillary gas chromatography, using flame ionization and mass spectrometric detection. Twenty-two components were identified in the oil of Eucalyptus microtheca with 1,8-cineole (34.0%), p-cymene (12.4%), α-pinene (10.7%) and β-pinene (10.5%) as main constituents.Twenty-one compounds were identified in the oil of Eucalyptus spathulata with 1,8-cineole (72.5%) and α-pinene (12.7%) as main components. Twenty-six compounds were characterized in the oil of Eucalyptus largiflorens with 1,8-cineole (37.5%), p-cymene (17.4%) and neoisoverbenol (9.1%) as main components. Sixteen compounds were characterized in the oil of Eucalyptus torquata with 1,8-cineole (66.9%) α-pinene (13.9%) and trans-pinocarveol (6.3%) as main constituents. The results showed that although the 1,8-cineole was the main component of the essential oils of all Eucalyptus species, but its relative content was higher in the oil of Eucalyptus spathulata and Eucalyptus torquata.
Effect of Low Dose Dopamine on Early Graft Function in Living Unrelated Kidney Donors
Hamzeh Hosseinzadeh,Samad Golzari,Mohammad Abravesh,Ata Mahmoodpoor
Urology Journal , 2012,
Abstract: Purpose: To evaluate the effect of low-dose dopamine administration on the early function of the kidney in unrelated kidney donors after transplantation.Materials and Methods: In this double-blinded clinical trial, 60 adult kidney donors and 60 recipients, younger than 50 years old, were studied. Donors and recipients were randomly divided into two groups; group 1 received dopamine 3 μg/kg/min and group 2 received similar regimen of placebo. During the first 3 days postoperatively, serum levels of urea and creatinine as well as urine output and early kidney function were compared between two groups.Results: Serum levels of creatinine and urea and urine output during the first three days after the operation did not differ statistically significantly between two groups (P = .549, P = .306 and P = .375, respectively). Early kidney function was better significantly in group 1 (5.3 ± 3.2 versus 8.6 ± 8.0 hours; P = .048). Conclusion: Premedication of the kidney transplant donors with low-dose dopamine accelerates early kidney function after transplantation, but has no effect on the hemodynamic status and serum levels of creatinine and urea in the donors.
Exploring the Catalytic Activity of Zirconia, Zirconia Supported Metals and Metal Oxides for Oxidation of Phenol  [PDF]
Mohammad Sadiq, Mohammad Ilyas
Modern Research in Catalysis (MRC) , 2012, DOI: 10.4236/mrc.2012.12004
Abstract: Catalytic oxidation/degradation of phenol with molecular oxygen in aqueous medium by Zirconia, zirconia supported metals and metal oxides at low temperature were studied in a three necked batch reactor. The catalysts prepared were characterized by modern techniques like XRD, SEM and EDX. The activities of different catalysts for the oxidation of phenol in aqueous medium were found to be in the order; Pt-Pd/ZrO2 > Bi-Pt/ZrO2 > Bi-Pd/ZrO2> Pt/ZrO2 > Pd/ZrO2 > Cu/ZrO2> Mn/ZrO2 > Bi/ZrO2. The enhanced catalytic activity of Bi-Pt/ZrO2 is attributed to Bi which in contact with Pt particles promotes its catalytic activity. In short, catalytic oxidation was found to be an effective tool, for the removal of phenol, from industrial waste water.
Glanular Anterior Urethral Valve; A Case Report of an Unusual Cause of Neonatal Urinary Retention  [PDF]
Mohammad Aminu Mohammad
Open Journal of Pediatrics (OJPed) , 2016, DOI: 10.4236/ojped.2016.62025
Abstract: Anterior urethral valve is an uncommon abnormality whose etiology is uncertain, unlike in the case of posterior urethral valve. Glanular anterior urethral valve is even rarer. We present an unusual case of anterior urethral valve, which presented with acute urinary retention and was successfully managed with excision and glans reconstruction. A history of poor stream and dribbling, recurrent urinary tract infections and palpable penile or peno-scrotal mass strongly points to the diagnosis of anterior urethral valve. A voiding cystourethrogramme confirms the diagnosis. It can cause early proximal urinary tract damage and renal failure if not intervened in time. Early surgical intervention will prevent the onset of uremia. Transurethral resection is the treatment of choice.
Pectin-Based Biodegradable Hydrogels with Potential Biomedical Applications as Drug Delivery Systems  [PDF]
Mohammad Sadeghi
Journal of Biomaterials and Nanobiotechnology (JBNB) , 2011, DOI: 10.4236/jbnb.2011.21005
Abstract: In this work, synthesis and swelling behavior of a superabsorbent hydrogel based on Pectin (Pc) and polyacrylonitrile (PAN) were investigated. A mechanism for hydrogel formation was proposed and the structure of the product was es-tablished using FTIR spectroscopy. The Pc-poly (sodium acrylate-co-acrylamide) hydrogel exhibited a pH-responsive swelling-deswelling behavior at pH’s 2 and 8. This on-off switching behavior provides the hydrogel with the potential to control delivery of bioactive agents. Release profiles of ibuprofen (IBU), a poor water-soluble drug, from the hydro-gels were studied under both simulated gastric and intestinal pH conditions.
Context-Dependent Data Envelopment Analysis with Interval Data  [PDF]
Mohammad Izadikhah
American Journal of Computational Mathematics (AJCM) , 2011, DOI: 10.4236/ajcm.2011.14031
Abstract: Data envelopment analysis (DEA) is a non-parametric method for evaluating the relative efficiency of decision making units (DMUs) on the basis of multiple inputs and outputs. The context-dependent DEA is introduced to measure the relative attractiveness of a particular DMU when compared to others. In real-world situation, because of incomplete or non-obtainable information, the data (Input and Output) are often not so deterministic, therefore they usually are imprecise data such as interval data, hence the DEA models becomes a nonlinear programming problem and is called imprecise DEA (IDEA). In this paper the context-dependent DEA models for DMUs with interval data is extended. First, we consider each DMU (which has interval data) as two DMUs (which have exact data) and then, by solving some DEA models, we can find intervals for attractiveness degree of those DMUs. Finally, some numerical experiment is used to illustrate the proposed approach at the end of paper.
Multilayer Hex-Cells: A New Class of Hex-Cell Interconnection Networks for Massively Parallel Systems  [PDF]
Mohammad Qatawneh
Int'l J. of Communications, Network and System Sciences (IJCNS) , 2011, DOI: 10.4236/ijcns.2011.411086
Abstract: Scalability is an important issue in the design of interconnection networks for massively parallel systems. In this paper a scalable class of interconnection network of Hex-Cell for massively parallel systems is introduced. It is called Multilayer Hex-Cell (MLH). A node addressing scheme and routing algorithm are also presented and discussed. An interesting feature of the proposed MLH is that it maintains a constant network degree regardless of the increase in the network size degree which facilitates modularity in building blocks of scalable systems. The new addressing node scheme makes the proposed routing algorithm simple and efficient in terms of that it needs a minimum number of calculations to reach the destination node. Moreover, the diameter of the proposed MLH is less than Hex-Cell network.
Cloud Computing as an Innovation in GIS & SDI: Methodologies, Services, Issues and Deployment Techniques  [PDF]
Mohammad Naghavi
Journal of Geographic Information System (JGIS) , 2012, DOI: 10.4236/jgis.2012.46062
Abstract: Cloud computing is one of the main issues of interest to the scientific community of the spatial data. A cloud is referred to computing infrastructure for a representation of network. From the perspective of providers, the main characteristics of cloud computing is being dynamic, high power in computing and storage. Also cloud computing is a cost benefit and effective way for representation of web-based spatial data and complex analysis. Furthermore, cloud computing is a way to facilitate distributed computing and store different data. One of the main features of cloud computing is ability in powerful computing and dynamic storage with an affordable expense and secure web. In this paper we further investigate the methodologies, services, issues and deployed techniques also, about situation of cloud computing in the past, present and future is probed and some issues concerning the security is expressed. Undoubtedly cloud computing is vital for spatial data infrastructure and consequently the cloud computing is able to expand the interactions for spatial data infrastructure in the future.


Resolving a Challenge in the Modeling of Hydrogen Production Using Steam Reforming of Methane in Monolith Reactors Using CFD Methods  [PDF]
Mohammad Irani
Advances in Materials Physics and Chemistry (AMPC) , 2012, DOI: 10.4236/ampc.2012.24B063
Abstract: Reaction modeling of SMR (Steam Methane Reforming) process inside monolith reactors using two approaches were investigated and compared with each other. In the first approach, the reactions were assumed to take place exactly on the wall surfaces, while in the second approach they considered inside a thin thickness near the walls. Experiments of SMR were carried out in a lab-scale monolith reactor. A single-channel was considered and CFD model were developed for each of aforementioned approaches. Comparisons between modeling results and experimental data showed that the first approach (surface model) gives better results. Performing reactions are difficult and expensive, CFD simulations are considered as numerical experiments in many cases. It was concluded that obtained results from CFD analysis gives precise guidelines for further studies on optimization of SMR monolithic reactor performance.
Resolving a challenge in the modeling of hydrogen production using steam reforming of Methane in monolith reactors using CFD methods  [PDF]
Mohammad Irani
Advances in Materials Physics and Chemistry (AMPC) , 2012, DOI: 10.4236/ampc.2012.24b065
Abstract: Reaction modeling  of SMR (Steam Methane Reforming) process inside monolith reactors using two approaches were investigated  and compared with each other. In the first approach, the reactions were assumed to take place exactly on the wall surfaces, while  in the second approach they considered inside a thin thickness near the walls. Experiments of  SMR  were carried out in a lab-scale monolith reactor. A single-channel was considered and CFD model were developed for each of aforementioned approaches. Comparisons between modeling results and experimental data showed that the first approach (surface model) gives better results. Performing reactions are difficult and expensive, CFD simulations are considered as numerical experiments in many cases . It was concluded that obtained results from CFD analysis gives precise guidelines for further studies on optimization of SMR monolithic reactor performance.
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