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Karachi, Pakistan

Mohammad Ali Jinnah University , is a private university primarily located in Karachi, Sindh, Pakistan. The university also operates an additional campus in Islamabad.Established in 1998, the university offers undergraduate, post-graduate and doctoral studies programmes, with a strong emphasis on business management, applied science, engineering, and computer science. It is one of the top institution of higher learning in the country, and is listed in the top ten universities for "general category" by the HEC, as of 2013. In addition, the university is also a member of the Association of Commonwealth Universities of the United Kingdom. Wikipedia.


Ramzan M.,Majmaah University | Yousaf F.,Mohammad Ali Jinnah University
AIP Advances | Year: 2015

This paper deals with steady three dimensional boundary layer flow of an incompressible viscoelastic nanofluid flow in the presence of Newtonian heating. An appropriate transformation is employed to convert the highly non linear partial differential equations into ordinary differential equations. Homotopy Analysis method (HAM) is used to find series solution of the obtained coupled highly non linear differential equations. The convergence of HAM solutions is discussed via h-curves. Graphical illustrations displaying the influence of emerging parameters on velocity, temperature and concentration profiles are given. It is observed that γ the conjugate parameter for Newtonian heating show increasing behavior on both temperature and concentration profiles. However, the temperature and concentration profiles are increasing and decreasing functions of Brownian motion parameter Nb respectively. © 2015 Author(s). Source


Raja M.A.Z.,COMSATS Institute of Information Technology | Samar R.,Mohammad Ali Jinnah University
Computers and Fluids | Year: 2014

In this paper a new stochastic technique for solving the nonlinear Jeffery-Hamel flow equations is presented, taking into consideration the magnetohydrodynamics (MHD) effects. A feed-forward artificial neural network (ANN) trained with particle swarm optimization (PSO) and the active-set method (ASM) is used for solving the problem. We first transform the original two-dimensional MHD Jeffery-Hamel problem into an equivalent third order boundary value problem (BVP). A mathematical model of the BVP is developed using a neural network formulation in an unsupervised manner. Optimal weights of the networks are learned with the PSO algorithm first, which is used as a tool for global search; the active-set method is employed for rapid local convergence in the second step. The designed scheme is evaluated on different cases of the problem by varying the angles of the walls, and the Reynolds and Hartmann numbers. Accuracy, convergence and effectiveness of the approach is established through extensive analyses based on a large number of independent runs. Comparative studies are carried out with numerical results of fully explicit Runge-Kutta method, as well as recently reported analytic solvers including variants of Adomian decomposition, Homotopy Perturbation, differential transform, Homotopy analysis and variational iteration methods to validate the correctness of the proposed scheme. © 2013 Elsevier Ltd. Source


Ramzan M.,Majmaah University | Bilal M.,Mohammad Ali Jinnah University
PLoS ONE | Year: 2015

The aim of present paper is to study the series solution of time dependent MHD second grade incompressible nanofluid towards a stretching sheet. The effects of mixed convection and thermal radiation are also taken into account. Because of nanofluid model, effects Brownian motion and thermophoresis are encountered. The resulting nonlinear momentum, heat and concentration equations are simplified using appropriate transformations. Series solutions have been obtained for velocity, temperature and nanoparticle fraction profiles using Homotopy Analysis Method (HAM). Convergence of the acquired solution is discussed critically. Behavior of velocity, temperature and concentration profiles on the prominent parameters is depicted and argued graphically. It is observed that temperature and concentration profiles show similar behavior for thermophoresis parameter Nt but opposite tendency is noted in case of Brownian motion parameter Nb. It is further analyzed that suction parameter S and Hartman number M depict decreasing behavior on velocity profile. © 2015 Ramzan, Bilal. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Source


Bashir S.,Mohammad Ali Jinnah University
Sahara J | Year: 2011

People living with HIV/AIDS (PLHA) are stigmatised socially. They are devalued and considered like outcasts by having lesser opportunities for education, treatment and housing, and in an organisational context they get reduced opportunities of selection, promotion and income. The phenomena have been extensively researched in developed countries but limited literature addresses the situation in underdeveloped countries like Pakistan, which is also facing spread of the HIV/AIDS epidemic. There are a number of groups who are carrying the disease but the problems being faced by PLHA employed in different organisations have rarely been analysed. Stigma at the workplace can generate a number of negative outcomes. The present study considers two such outcomes among stigmatised PLHA. These outcomes are organisational cynicism and breach of psychological contract. A questionnaire was used to collect data from a sample of 174 PLHA, having a work experience after identification of the epidemic, working in different organisations across Pakistan. These PLHA were identified and recruited through a scattered record available with some government/non-government organisations operating in Pakistan to control HIV/AIDS. Findings of the study extend the knowledge about HIV/AIDS stigma indicating that PLHA are subjected to stigma, which is significantly associated with a breach of psychological contract and organisational cynicism. There is a need at governmental and organisational level as well to increase awareness about the disease and formulate policies to reduce stigma against PLHA working in different organisations. Source


Kamal A.H.M.,Japan National Agriculture and Food Research Organization | Rashid H.,Mohammad Ali Jinnah University | Sakata K.,Maebashi Institute of Technology | Komatsu S.,Japan National Agriculture and Food Research Organization
Journal of Proteomics | Year: 2015

Flooding stress causes growth inhibition and ultimately death in most crop species by limiting of energy production. To better understand plant responses to flooding stress, here, flooding-responsive proteins in the cotyledons of soybean were identified using a gel-free quantitative proteomic approach. One hundred forty six proteins were commonly observed in both control and flooding-stressed plants, and 19 were identified under only flooding stress conditions. The main functional categories were protein and development-related proteins. Protein-protein interaction analysis revealed that zincin-like metalloprotease and cupin family proteins were found to highly interact with other proteins under flooding stress. Plant stearoyl acyl-carrier protein, ascorbate peroxidase 1, and secretion-associated RAS superfamily 2 were down-regulated, whereas ferretin 1 was up-regulated at the transcription level. Notably, the levels of all corresponding proteins were decreased, indicating that mRNA translation to proteins is impaired under flooding conditions. Decreased levels of ferritin may lead to a strong deregulation of the expression of several metal transporter genes and over-accumulation of iron, which led to increased levels of reactive oxygen species, resulting to detoxification of these reactive species. Taken together, these results suggest that ferritin might have an essential role in protecting plant cells against oxidative damage under flooding conditions.Biological significance. This study reported the comparative proteomic analysis of cotyledon of soybean plants between non-flooding and flooding conditions using the gel-free quantitative techniques. Mass spectrometry analysis of the proteins from cotyledon resulted in the identification of a total of 165 proteins under flooding stress. These proteins were assigned to different functional categories, such as protein, development, stress, redox, and glycolysis. Therefore, this study provides not only the comparative proteomic analysis but also the molecular mechanism underlying the flooding responsive protein functions in the cotyledon. © 2014 Elsevier B.V. Source

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