Praetorianism in A Case of Exploding Mangoes: A Critical Analysis.

This research investigates the social and political circumstances of Pakistan during 1980s, when General Muhammad Zia-ul-Haq exercised his power and controlled the government of Pakistan by military take-over till he breathed his last in an air crash near Bahawalpur. Mohammed Hanif, a journalist and newscaster of BBC London Urdu service has written an allegorical fiction named “A Case of Exploding Mangoes” in which he has narrated various instances of General Zia’s praetorianism. During the course of narration Mohammed Hanif, as an adept critic and seasoned analyst of global political scenario has employed the devices of black humour, irony and political satire in an allegorical way by making use of real and fictitious characters, well known to the Pakistani masses and International Community for their significant role in Pakistani armed forces and political government. Mohammed Hanif’s novel is a very valuable document which very aptly describes the reality of Pakistani politics, army’s role and its interference in public and civil politics. This novel also throws light on General Zia’s personality as the Chief of Army Staff and afterwards as the elected president, who remained a perfect example of a praetor throughout his reign of a third world country, named Pakistan

Past, Present, and Future of EEG-Based BCI Applications

An electroencephalography (EEG)-based brain–computer interface (BCI) is a system that provides a pathway between the brain and external devices by interpreting EEG. EEG-based BCI applications have initially been developed for medical purposes, with the aim of facilitating the return of patients to normal life. In addition to the initial aim, EEG-based BCI applications have also gained increasing significance in the non-medical domain, improving the life of healthy people, for instance, by making it more efficient, collaborative and helping develop themselves. The objective of this review is to give a systematic overview of the literature on EEG-based BCI applications from the period of 2009 until 2019. The systematic literature review has been prepared based on three databases PubMed, Web of Science and Scopus. This review was conducted following the PRISMA model. In this review, 202 publications were selected based on specific eligibility criteria. The distribution of the research between the medical and non-medical domain has been analyzed and further categorized into fields of research within the reviewed domains. In this review, the equipment used for gathering EEG data and signal processing methods have also been reviewed. Additionally, current challenges in the field and possibilities for the future have been analyzed

Research Productivity on Knowledge Management from Pakistan: A Study from 2000-2020

This study examined the research productivity on Knowledge Management from Pakistan during the years 2000-2020. The study tends to determine the year-wise publications, authorship pattern, total count of citations, citations per year, most cited publications and the most prolific authors. The data for the study was extracted from Google Scholar by using bibliometric tool “Public & Perish”. The data was further analyzed on different parameters with the help of Publish & Perish and MS Excel 2016. It was found that a total of 84 documents were published during the study period. The results show that the highest number of publications (15) were published in 2018. Three authorship pattern was dominated in the papers with 28.571% contribution to the total. A total of 372 citations received by the papers and 90 (24.193%) citations received in a single year of 2014. The most cited paper appeared in FWU Journal of Social Science written by S Ahmed, M Fiaz and M Shoaib. The results also show that six authors had written three papers each on knowledge management

Separation of cardiac and respiratory components from the electrical bio-impedance signal using PCA and fast ICA

This paper is an attempt to separate cardiac and respiratory signals from an electrical bio-impedance (EBI) dataset. For this two well-known algorithms, namely Principal Component Analysis (PCA) and Independent Component Analysis (ICA), were used to accomplish the task. The ability of the PCA and the ICA methods first reduces the dimension and attempt to separate the useful components of the EBI, the cardiac and respiratory ones accordingly. It was investigated with an assumption, that no motion artefacts are present. To carry out this procedure the two channel complex EBI measurements were provided using classical Kelvin type four electrode configurations for the each complex channel. Thus four real signals were used as inputs for the PCA and fast ICA. The results showed, that neither PCA nor ICA nor combination of them can not accurately separate the components at least are used only two complex (four real valued) input components.Comment: 4 pages, International Conference on Control, Engineering and Information Technology (CEIT'13

CAPITAL STRUCTURE DETERMINANTS OF ISLAMIC AND CONVENTIONAL BANKS OF PAKISTAN

Purpose- The major objective behind conducting this research is to explicate that how does the conventional as well as Islamic banks opt for their capital structures and what are the noteworthy variables that effect the decisions of the company as regard to their capital structure. Design/methodology/approach- Data for study was gathered throughthe yearly reports of the KSE indexed companies. The yearly reports from the years 2004-2014 were selected for the study. For analysis, ordinary least square (OLS) is applied in order to obtain the results. Findings- The primary outcomes of study prove that the conventional banks are more leveraged as compared to the Islamic banks. In addition, the conventional banks are bigger in size than Islamic banks and possess higher level of profitability. The fixed operating resources possessed by the Islamic banks are more in comparison to the conventional banks. The outcomes show that the profitability and tangibility are inversely associated with book leverage however the bank size has significant nexus with the book leverage of Islamic banks. On the other hand, profitability, growth and tangibility are negatively related to book leverage in whereas the bank size positivelyimpacts the decisions of the conventional banks for choosing the capital structure. Earning volatility shows no impact on capital structure decisions. Practical implications- The outcomes of the study present that the directors of bank need to develop an understanding related to the bank specific factors which would help them to decide regarding the capital structure of the bank taking into consideration that the controlling powers are vested with state bank of Pakistan. Originality/value- This study would propose that some noteworthy insights regarding the variables that impact financing decisions ofPakistani conventional and Islamic banks. This study also provides a framework to the future researchers for deeper exploration regarding capital structure of the banks.  Keywords- Conventional Banks; Islamic Banks, Ordinary Least Square, State bank of PakistanÂ

The Economic Impact of Lower Extremity Amputations in Diabetics. a Retrospective Study From a Tertiary Care Hospital of Faisalabad, Pakistan

Background: Among the various complications of diabetes, lower-extremity amputation due to diabetic foot is a common problem. In Pakistan, 6-7% of patients with diabetes suffer from diabetic foot ulceration. Objectives: Our primary objective was to explore the frequency of diabetic foot amputations, and the secondary objective was to calculate the economic burden of these preventable surgeries on the health budget of the provincial government. Materials & Methods: It was a retrospective cross-sectional observational study conducted after obtaining approval from the Ethical Review Committee of Allied hospital, Faisalabad Medical University. The data of diabetic foot patients who underwent amputations between July 2017 and December 2017 were retrieved from three Surgical Units (I, II & III), using a purposive sampling technique. All amputations carried out for reasons other than diabetic foot were excluded. The direct medical cost of one diabetic foot amputation was calculated via a local survey of the various private hospitals of Faisalabad. The indirect costs in terms of loss of productivity and disability costs, transport costs, rehabilitation costs were not included in this study. The data were evaluated by using SPSS Version 23. Results: A total of 85 patients were included in our study. The male to female ratio was 2.7 to 1. The mean direct treatment cost for minor amputation was PKR 46926.00 ± 11730.90 ($382.35 ± 95.58), and the mean direct treatment cost for major amputation was PKR 53720.00 ± 12401.24 ($437.71 ± 101.40). Out of 85 amputations, 63 (74%) were major amputations, and the remaining 22 (26%) were minor amputations. The total cost for 63 major amputations was PKR 3,384,360 ($27568.91) and for 22 minor amputation was PKR 1,032,372 ($8409.67). The net cost came out to be PKR 4,416,732 ($35978.59) for all the 85 cases being reported in a tertiary care hospital of Faisalabad for six months. Conclusion: Diabetic foot, a preventable complication of long-term diabetes mellitus, has an economic burden on the hospital budget, which, if adequately addressed via primary prevention programme, can yield not just economical but medical benefits as well

Fault Tolerance Framework for Composite Web Services

A composite Web service combines multiple, logically interrelated services for creating more common services meeting complex requirements from users. The services participating in a composition coordinate the actions of distributed activity using Web services protocols to reach consistent agreement on the outcome of joint operation. However, as services run over unreliable protocols, there is a great chance that services fail due to the failure of protocols. However, current protocol standards provide fault-tolerance but are limited to backward recovery using expensive compensation and roll-back strategies. This paper gives an extension of the existing Web services business activity (WS-BA) protocol to deal with failures using forward recovery approach. A set of common failure types affecting the execution of component services is identified, and recovery solutions for each identified failure are also presented. The fault-handling extension of the WS-BA protocol implements recovery solutions for each of the identified failures to handle failures at runtime. Another important aspect about which the WS-BA protocol specification is unclear is reaching and notifying consistent outcome on the completion of joint work. This study extends the WS-BA protocol to notify consistent outcome reached by all participating services. The implementation and testing of the framework are performed using the model-checking and verification tool UPPAAL. A well-known application example supports the study. The key properties of the framework, like the execution of corresponding recovery actions in cases of failures and reaching a consistent agreement on the outcome of joint operation, are verified

Enhancing Cross-Subject Motor Imagery Classification in EEG-Based Brain–Computer Interfaces by Using Multi-Branch CNN

© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).A brain–computer interface (BCI) is a computer-based system that allows for communication between the brain and the outer world, enabling users to interact with computers using neural activity. This brain signal is obtained from electroencephalogram (EEG) signals. A significant obstacle to the development of BCIs based on EEG is the classification of subject-independent motor imagery data since EEG data are very individualized. Deep learning techniques such as the convolutional neural network (CNN) have illustrated their influence on feature extraction to increase classification accuracy. In this paper, we present a multi-branch (five branches) 2D convolutional neural network that employs several hyperparameters for every branch. The proposed model achieved promising results for cross-subject classification and outperformed EEGNet, ShallowConvNet, DeepConvNet, MMCNN, and EEGNet_Fusion on three public datasets. Our proposed model, EEGNet Fusion V2, achieves 89.6% and 87.8% accuracy for the actual and imagined motor activity of the eegmmidb dataset and scores of 74.3% and 84.1% for the BCI IV-2a and IV-2b datasets, respectively. However, the proposed model has a bit higher computational cost, i.e., it takes around 3.5 times more computational time per sample than EEGNet_Fusion.Peer reviewe

Privatization and Fiscal Deficit: a Case Study of Pakistan

Privatization was started in many countries (Developed and developing) with a view that SOEs were not working efficiently and putting extra burden on government shoulders covering losses of state owned enterprises. Privatization in Pakistan was started with some specific objectives including reduction in government subsidies to public enterprises and increasing tax revenue from private enterprises. This study investigates the fiscal impact of privatization in Pakistan by comparing pre and post privatization subsidies as expenditure and taxes and sales proceeds as revenue. The findings reveal that privatization failed to meet the expectation having positive impact on fiscal deficit of Pakistan. Keywords: SOEs (State owned Enterprises),NTN: (National Tax Number),NADRA:( (National Database and Registration Authority),PPL:Pakistan Petroleum Limited,PARCO: Pakistan Arab Refinery Limited,KAPCO: Kot Addu Power Company limited,SLIC: State Life Insurance Corporatio