223 research outputs found
Beyond Planning and Mercantilism: An Evaluation of Pakistan’s Growth Strategy
No full textThrough the nineties Pakistan remained preoccupied with crisis management. All debate and policy was, as a result, involved with current policy and our coping with the IMF programmes. Adjustment was the main theme leaving little room for growth initiatives.1 A lively debate has raged on the distributional impacts of adjustment policy on which the government and the thinking community have adopted opposing stances, often with much emotion. With this focus of economic and political discussion on critiquing of the current government and its policies, there has been little effort put in understanding and reviewing the country’s growth strategy. This paper attempts to assess the evolution of Pakistan’s long-term growth strategy.2 It is my contention that the growth strategy remains inertia-ridden because of the lack of an academic community and debate.3 The paper will also attempt to identify the actors who influence and shape this strategy. This will be followed by what changes should be made in that strategy, based on more recent developments in economic thinking and experience in the world. For long-run sustained growth that will lead us to join the club of the more advanced countries, a new strategy based on the latest research findings will be needed. Finally, I shall point to the factors that impede the adoption of such a strategy, and especially to our owning such a strategy.Economic Growth
Library automation of Al-Barkaat Institute of Management Studies, Aligarh with the help of Alice for Window (AFW) library software
No full textThis article was written, when first author Mr. Parvez Ahmed, was working in India. Presently he is working as a Web Librarian in Portal and e-Services Department, King Saud University.This case study is the practical experience of the first author of this article. he has tried to cover all the areas of automation
Poisoning the Mind: Arsenic Contamination of Drinking Water Wells and Children's Educational Achievement in Rural Bangladesh
No full textBangladesh has experienced the largest mass poisoning of a population in history owing to contamination of groundwater with naturally occurring inorganic arsenic. Prolonged drinking of such water risks development of diseases and therefore has implications for children's cognitive and psychological development. This study examines the effect of arsenic contamination of tubewells, the primary source of drinking water at home, on the learning outcome of school-going children in rural Bangladesh using recent nationally representative data on secondary school children. We unambiguously find a negative and statistically significant correlation between mathematics scores and arsenic-contaminated drinking tubewells at home, net of the child's socio-economic status, parental background and school specific unobserved correlates of learning. Similar correlations are found for an alternative measure of student achievement and subjective well-being (i.e. self-reported measure of life satisfaction), of the student. We conclude by discussing the policy implication of our findings in the context of the current debate over the adverse effect of arsenic poisoning on children.subjective well-being, Madrasa, drinking water pollution, Bangladesh
Authorship Identification of Source Code Segments Written by Multiple Authors Using Stacking Ensemble Method
No full textSource code segment authorship identification is the task of identifying the
author of a source code segment through supervised learning. It has vast
importance in plagiarism detection, digital forensics, and several other law
enforcement issues. However, when a source code segment is written by multiple
authors, typical author identification methods no longer work. Here, an author
identification technique, capable of predicting the authorship of source code
segments, even in the case of multiple authors, has been proposed which uses a
stacking ensemble classifier. This proposed technique is built upon several
deep neural networks, random forests and support vector machine classifiers. It
has been shown that for identifying the author group, a single classification
technique is no longer sufficient and using a deep neural network-based
stacking ensemble method can enhance the accuracy significantly. The
performance of the proposed technique has been compared with some existing
methods which only deal with the source code segments written precisely by a
single author. Despite the harder task of authorship identification for source
code segments written by multiple authors, our proposed technique has achieved
promising results evidenced by the identification accuracy, compared to the
related works which only deal with code segments written by a single author.Comment: 2019 22nd International Conference on Computer and Information
Technology (ICCIT
Man up: stories of Parvez and Muna
No full textA collection of linked comic short stories about a young Muslim couple, tracing their relationship from their traditional courtship to the early parenthood.M.F.A.by Musa Syee
On colouring integers avoiding t-AP distance-sets
No full textIn this paper, we investigate
the structure of sets with bounded number of pairs with certain gaps.The author would like to thank Hunter Snevily (deceased) for suggesting the problem, Clement Lam and Srecko Brlek for their support,and Andalib Parvez for carefully reading the manuscript
Wideband Inductive Coplanar Waveguide Fed Slot Antenna with Various Slot
No full text<p>FOSET Academic Meet 2023</p>
Slot Antenna Miniaturization With Equal Electrical Path Length Using Different Shape of Loops
No full text
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