University of Wah

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.

Micro-structural and Microhardness Study of Ni-Zn Ferrite Using Si Additive

Abstract: Mixed Ni-Zn ferrites (x = 0.66, 0.77, 0.88, 0.99) were prepared by the double sintering ceramic method. Locally available low cost Fe2O3 with 0.5wt% of Si additive was used for this purpose to reduce the process price markedly and to improve the properties of the ferrite produced. Micro structural and micro hardness properties along with density and porosity have been investigated. Hardness increases with increase in metal contact, x of NixZn1-xFe2O4. SEM and optical micrograph shows very similar morphology of the particles with the amount of Si (0.5 wt %), must be low enough to prevent growth of large grains.

Mobile Banking Service Quality and Customer Satisfaction: An Application of Carter Model

Abstract: Purpose: Mobile banking is one of the modern means of handy banking services. Using the Carter model, this study aims to find the nexus between customer satisfaction and mobile banking service quality among Pakistani users. Design/methodology/approach: The structured questionnaire has been administered to 400 mobile banking users in Rawalpindi, Islamabad and Wah Cantt. Simple random sampling was used to gather the respondents for data collection. Findings: The analysis shows that there exists a positive association between the dimensions of assurance, tangibility as well as responsiveness with customer satisfaction. However, there exists no relationship between empathy and reliability with customer satisfaction. Implications: This study fills up the gap in literature by providing insights from mobile banking sector of Pakistan. Furthermore, the model of the study can be extended in different contexts with other dimensions also. It will be better if banks develop their e banking services up to date by adapting to the latest changes in industry and technology. Originality/value: This particular study has a deep importance as it provides evidence from the developing nation of Pakistan. It has spread heading endeavour to explore the consumer loyalty in the keeping money industry of Pakistan by utilizing a vast example and progress measurable systems. Limitations/Future horizons: The study has been conducted in the area of Rawalpindi and Islamabad however future researchers may expand the premises as well as add more variables to the model to gain deeper insights.

Monitoring regional groundwater flow and contaminant transport in Southern Punjab, Pakistan, using numerical modeling approach

Abstract: A three-dimensional groundwater flow model was developed using Visual MODFLOW to characterize the groundwater regime and simulate groundwater flow behavior in Multan District of Pakistan from 1962 to 2015. The multi-layered model was calibrated in which arsenic concentration was used as a point source for solute transport modeling in the flow domain. The model calibration indicated a close agreement between the simulated and observed head values achieving residual mean value of 0.1 m and a correlation coefficient (R) value of 0.9 during the steady-state condition. The study revealed a gradual rise in groundwater levels from 1972, i.e., at a rate of about 0.08 m/year followed by a gradual decline after 1990 at a rate of about 0.39 m/year likely due to overexploitation of groundwater. The other reasons of depletion of the aquifer may include lesser natural recharge due to reduction in canal command area and increasing water demand and pumpage due to growing urban/rural development. The findings of contaminant transport modeling depicted flow path representation of arsenic movement mostly towards the rivers in the model domain. Overexploitation of groundwater needs to be controlled for effective development of groundwater resource, and proper purifying/filtering techniques have to be adopted to ensure safe groundwater use in the area.

A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology

Abstract: Artificial intelligence (AI) enabled radiomics has evolved immensely especially in the field of oncology. Radiomics provide assistance in diagnosis of cancer, planning of treatment strategy, and prediction of survival. Radiomics in neuro-oncology has progressed significantly in the recent past. Deep learning has outperformed conventional machine learning methods in most image-based applications. Convolutional neural networks (CNNs) have seen some popularity in radiomics, since they do not require hand-crafted features and can automatically extract features during the learning process. In this regard, it is observed that CNN based radiomics could provide state-of-the-art results in neuro-oncology, similar to the recent success of such methods in a wide spectrum of medical image analysis applications. Herein we present a review of the most recent best practices and establish the future trends for AI enabled radiomics in neuro-oncology.