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Institution

University of Wah

EducationRawalpindi, Pakistan
About: University of Wah is a education organization based out in Rawalpindi, Pakistan. It is known for research contribution in the topics: Per capita income & Rhizobacteria. The organization has 258 authors who have published 466 publications receiving 4719 citations.


Papers
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Journal ArticleDOI
01 Dec 2021-Pramana
TL;DR: In this paper, the mass flux theory in magneto Carreau nanofluid with convective and variable connectivity has been studied and the shear thinning-thickening properties are analyzed by utilising bvp4c algorithm for influential variables.
Abstract: Nanofluids can be engineered as per requirements and have applications in microelectronic, therapeutic activities, hybrid-mechanical machineries, aeronautics zones, thermonuclear storehouses, shielding of miscellaneous engines etc. Here, the aspects of new mass flux theory in magneto Carreau nanofluid with convective and variable connectivity have been studied. Additionally, nonlinear properties of mixed convection are examined. The shear thinning–thickening properties are analysed by utilising bvp4c algorithm for influential variables. The fluid temperature increases with thermophoresis and variable conductivity parameters. The outcomes of thermophoresis and Brownian motion parameters have conflicting influences on concentration field.

11 citations

Journal ArticleDOI
TL;DR: A series of new tri-and diorganotin(IV) derivatives of an S-donor ligand with the formulae Me3SnL (1), n-Bu3snL (2), Ph3snl (3), Me2SnClL (4), Bu2snClL(5), Ph2snclL (6) and Me2snL2 (7) were prepared by the reaction of organotin( IV) chlorides with the ligand L = 4-[bis(4-flourophenyl)methyl

11 citations

Journal ArticleDOI
TL;DR: The findings suggest that the FS is a psychometrically sound instrument for assessing social psychological functioning among adults in Pakistan and the validated Urdu version of the FS may be used in future studies of well-being in clinical psychology and positive psychology.
Abstract: Background: A great deal of research has been carried out on the assessment of the eudaimonic perspective of psychological well-being and the hedonic perspective of subjective well-being The Flourishing Scale (FS) has been extensively used in research and practice, as it assesses the fundamental aspects of social psychological functioning Nevertheless, the psychometric properties of Urdu versions of eudaimonic measures, such as the FS, have not yet been ascertained The translation and validation of the FS in the Urdu language was not available, and hence this study was planned with the aim to validate the Urdu version of the FS Methods: We assessed the psychometric properties of the FS in a sample of adults aged 18 years and above in Pakistan (N = 130) using exploratory factor analysis based on principal component analysis with varimax rotation and confirmatory factor analysis Results: The exploratory factor analysis confirmed the unidimensional nature of the 8-item FS We assessed that the Urdu version of the FS showed a high internal consistency reliability (α = 0914) with a significant intraclass correlation coefficient (ICC), p < 0001) In our study, the Kaiser-Mayer-Olkin value was 0915 with a chi-square test value (χ2) of 637687, and Bartlett's test of sphericity was significant (df = 28, p < 0001) The intraclass correlation coefficients (ICCs) at test-retest for all domains were statistically significant (p < 0001) and showed excellent agreement for all the items The revised confirmatory factor analysis revealed a good-fit model, but with item 8-"People respect me"-removed due to its lower factor loading Conclusions: The findings suggest that the FS is a psychometrically sound instrument for assessing social psychological functioning among adults in Pakistan Therefore, the validated Urdu version of the FS may be used in future studies of well-being in clinical psychology and positive psychology

11 citations

Journal ArticleDOI
TL;DR: Empirical analysis of different mathematical models for Pakistan SLR (PSLR) is presented using the parameterization of sign signature, which results in a very small feature vector and hence to a very efficient system.
Abstract: Sign language recognition (SLR) has got wide applicability. SLR system is considered to be a challenging one. This paper presents empirical analysis of different mathematical models for Pakistan SLR (PSLR). The proposed method is using the parameterization of sign signature. Each sign is represented with a mathematical function and then coefficients of these functions are used as the feature vector. This approach is based on exhaustive experimentation and analysis for getting the best suitable mathematical representation for each sign. This extensive empirical analysis, results in a very small feature vector and hence to a very efficient system. The robust proposed method has got general applicability as it just need a new training set and it can work equally good for any other dataset. Sign set used is quite complex in the sense that intersign similarity distance is very small but even then proposed methodology has given quite promising results.

11 citations

Journal ArticleDOI
01 Dec 2018-Pramana
Abstract: In the present paper, the main focus is to study soliton formations of a two-dimensional magnetohydrodynamic flow over a nonlinear stretching sheet with the help of transformed rational function method. The fluid is electrically conductive, normal to the stretching sheet and there is no induced magnetic field. The flow problem is described by the continuity and momentum equation with suitable boundary conditions. For solving the model, the nonlinearity poses a great challenge. Nonlinear partial differential equation has been converted into a nonlinear ordinary differential equation by using similarity transformations, and then a trial solution is assumed. The results indicate complete consistency and effectiveness of the suggested scheme compared with the existing literature.

11 citations


Authors

Showing all 266 results

NameH-indexPapersCitations
Khalid Zaman423246710
Asghari Bano381694831
Amjad Farooq351534421
Naeem Khan271462709
Muhammad Ajmal20471094
Sohail Hameed19391334
Muhammad Usman181101208
Asghari Bano1745919
Anwar Khitab1346556
Jameel-Un Nabi13121950
Saira Shahzadi1244406
Syed Irfan Raza1225505
Javeria Amin1218595
Shahab Khushnood1267882
Muhammad Jahangir1137408
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20234
202213
2021131
202089
201991
201876