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Rawalpindi, Pakistan

Fatima Jinnah Women University , is a public university located in the neighborhood of Mall road of Rawalpindi, Punjab, Pakistan. It is one of many all-women universities located in Pakistan. Regarded as the first women's university in Pakistan, it is ranked at number 18 in general category of the Higher Education Commission of Pakistan rankings. The university focuses on two distinct dimensions. One is to add significantly to the standards of higher education, the other is to introduce new areas of study for the young women of Pakistan.Students have been coming from all over the country-from as far as Balochistan, Southern Punjab and Sindh. Between 1998 to 2008, more than 4362 students have been awarded degrees and effectively employed in various organizations in and outside the country.Women working at the University have made history in more than one way. At the first Women’s University the women are involved in higher education management, and offering courses to bring students to an international level of training. Women institutions from all over the world have been in touch to develop exchange programs of collaboration. Wikipedia.


A survey of roadside vegetation and soils along Lahore-Islamabad motorway (M-2) was undertaken and the data were subjected to Canonical Correspondence Analysis to investigate the vegetation structure and its relationships to the selected edaphic variables. In addition, the patterns of plant species distribution in the whole study area and its different regions were also determined. CCA ordination was performed on a matrix containing % age cover value for all species (n = 227 species) on 397 sampled plots. This relationship was determined by ordination analysis. The environmental variables selected for analysis were organic matter, sodium, potassium, calcium, magnesium, total nitrogen and trace elements like lead, zinc, nickel, cadmium, chromium and iron. In CCA analysis of all the quadrats, chromium, zinc, lead, nickel, sodium and potassium were the most important variables influencing the quadrats distribution. The study also provides basic information for the implementation of conservation oriented planning and management to preserve and improve the road verges of M-2. Source


Ali M.I.,Islamabad Model College for Boys F | Shabir M.,Quaid-i-Azam University | Naz M.,Fatima Jinnah Women University
Computers and Mathematics with Applications | Year: 2011

Recently new operations have been defined for soft sets. In this paper, we study some important properties associated with these new operations. A collection of all soft sets with respect to new operations give rise to four idempotent monoids. Then with the help of these monoids we can study semiring (hemiring) structures of soft sets. Some of these semirings (hemirings) are actually lattices. Finally, we show that soft sets with a fixed set of parameters are MV algebras and BCK algebras. © 2011 Elsevier Ltd. All rights reserved. Source


Ahmad S.S.,Fatima Jinnah Women University
Pakistan Journal of Botany | Year: 2012

A study was conducted in Ayubia National Park to explore the species response correlation with environmental gradients. Multivariate Analysis was applied to dataset to quantify the vegetation of study area. Vann Dobben circle analysis and T value Biplot was used with the help of Canonical Correspondence Analysis. Two zones were demarcated in Park. Results showed that Species Plantago major and Thlaspi griffthianum had positive and significant response towards environmental variables and few of species showed negative regression coefficient response to environmental variables. Similarly results of Attribute plot show the species response to particular environmental variable. Dominant spp of Zone 1 Hedera nepalensis showed negative association towards organic matter and Rumex nepalensis dominant species of Zone 2 Rumex nepalensis showed positive and significant response to environmental variables. Source


Salam A.,International Islamic University, Islamabad | Khayal M.S.H.,Fatima Jinnah Women University
Knowledge and Information Systems | Year: 2012

Finding frequent patterns play an important role in mining association rules, sequences, episodes, Web log mining and many other interesting relationships among data. Frequent pattern mining methods often produce a huge number of frequent itemsets that is not feasible for effective usage. The number of highly correlated patterns is usually very small and may even be one. Most of the existing frequent pattern mining techniques often require the setting of many input parameters and may involve multiple passes over the database. Minimum support is the widely used parameter in frequent pattern mining to discover statistically significant patterns. Specifying appropriate minimum support is a challenging task for a data analyst as the choice of minimum support value is somewhat arbitrary. Generally, it is required to repeatedly execute an algorithm, heuristically tuning the value of minimum support over a wide range, until the desired result is obtained, certainly, a very time-consuming process. Setting up an inappropriate minimum support may also cause an algorithm to fail in finding the true patterns. We present a novel method to efficiently retrieve top few maximal frequent patterns in order of significance without use of the minimum support parameter. Instead, we are only required to specify a more human understandable parameter, namely the desired number itemsets k. Our technique requires only a single pass over the database and generation of length two itemsets. The association ratio graph is proposed as a compact structure containing concise information, which is created in time quadratic to the size of the database. Algorithms are described for using this graph structure to discover top-most and top-k maximal frequent itemsets without minimum support threshold. To effectively achieve this, the method employs construction of an all path source-to-destination tree to discover all maximal cycles in the graph. The results can be ranked in decreasing order of significance. Results are presented demonstrating the performance advantages to be gained from the use of this approach. © 2011 Springer-Verlag London Limited. Source


Ahmad S.S.,Fatima Jinnah Women University
Pakistan Journal of Botany | Year: 2010

Road verges are identified as natural habitat to conserve the native flora and provide the basic environment for the growth of indigenous flora. For this purpose a field survey was carried out along the road verges of motorway (M-2). The road verges data collected along the road verges was analysed using ordination technique, DECORANA, computer programme in order to classify the data. Deterended Correspondence Analysis (DCA) identifies clusters of species in ordinate space and verifies groups of species. The road verges data was collected from 397 quadrats and 227 vascular plants species belonging to 75 families were recorded. DCA eigenvalues for the first two axes were 0.59 and 0.46. These values suggest a good dispersion of data along the axes. However, scatter diagram is more easily interpretable in ecological terms. A total of four communities were identified which differs mainly on the basis of their ecological amplitudes. This data will be used as initial source data which can be used to study the successional changes in future with reference to different environmental conditions. Source

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