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Search Results: 1 - 10 of 12896 matches for " Mohammad Aminu Mohammad "
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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.
Intra-Uterine Proximal Loop Volvolus in Association with Ileal Atresia: A Pointer to Possible Aetiology of Small Bowel Atresias  [PDF]
Mohammad Aminu Mohammad, Anyanwu Lofty-John Chukwuemeka
Open Journal of Pediatrics (OJPed) , 2016, DOI: 10.4236/ojped.2016.63030
Abstract: Intrauterine diagnosis of small intestinal volvulus is extremely rare; a small bowel volvulus may be caused, by an atresia or malrotation, and it can also be an etiology for intestinal atresia. Early antenatal diagnosis of fetal intestinal volvulus is difficult. Care full and meticulous prenatal radiological investigations in the experience hand may suggest the diagnosis. We present a male child who presented 9 hours after birth with gangrenous proximal dilated loop volvulus in a type III B intestinal atresia diagnosed intraoperative and was treated successfully. Presence of focal abdominal wall edema in a newborn with intestinal obstruction may suggest this diagnosis.
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.
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.
Structure of Groups with Generalized Normal Subgroups  [PDF]
Mohammad Arshaduzzaman
Advances in Pure Mathematics (APM) , 2014, DOI: 10.4236/apm.2014.46035
Abstract:

The present paper deals with a subgroup X of a group G is almost normal if the index |G: NG(X)| is finite, while X is nearly normal if it has finite index in the normal closure XG. This paper investigates the structure of groups in which every (infinite) subgroup is either almost normal or nearly normal.

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