155 research outputs found
Pakistan: Breaking out of stagflation into sustained growth
No full textThis paper proposes that the underlying cause of the macroeconomic problems facing Pakistan today are a series of supply shocks which have constrained output growth. It is argued that while the current debate has solely focused on government expenditures and revenues, it is critical to also address the acute energy shortages which is constraining supply. The paper goes on to present four recommendations for breaking out of the present stagflation: (i) prudent macroeconomic management, (ii) reviving the role of the government in development while restoring fiscal balance, (iii) loosening monetary policy in order to spur the private sector, and (iv) improving social safety nets.Economic Growth, Supply Shock, Pakistan
Why Pakistan must break-into the knowledge economy
No full textThe author emphasizes in this paper that this was the moment in Pakistan’s economic trajectory for it to learn to leap frog technologically from a labor intensive economy, by passing the intermediate stages of resource based and scale based activities, to a knowledge based economy. A knowledge based economy is one that bases its growth not on increasing capital or land or labor inputs, but on knowledge. The transition required is considerable, the author points out.Knowledge Economy, Economics of Education, Technical Efficiency, Pakistan
The Legacy of the 'misfit' Poet: Repositioning Majid Amjad in the Modern Urdu
No full textThe author calls into question why the Urdu poet Majīd Amjad is not ranked with the likes of Rāshid, Mīrāji and Faiz. She argues that Amjad’s poetry did not correspond with the current trends of Western literature that were reflected in the other three poets and that literary canons represent a closed topography, a stage filled with “stars”, a club in the form of a list whose members are chosen by lesser mortals, influenced by political correctness, ideology, public opinion, the economics of publishing and the public profile of the “star”
Replication of Daily and Monthly Freeway Demand Variations for Travel Time Reliability Procedures
No full textThe sixth edition of theHighway Capacity Manual(HCM) incorporates a travel time reliability assessment procedure for freeways and urban streets. Several demand adjustment factors, referred to by demand multipliers, are used to capture traffic demand variation across different days and months. These factors are currently produced by referencing the average daily traffic volume of each day-month combination to a base daily volume. However, practitioners usually perform traffic analyses during specific times of the day, for example, peak periods, off-peak periods, or even peak hours, demand multipliers may therefore replicate demand variation more accurately if they are based on traffic volumes concurred in time intervals narrower than a day. This paper investigates six criteria or periods to derive demand multipliers: full-day, pre AM-peak, AM peak-period, midday, PM peak-period, and post PM-peak. The study explores how these periods affect the scale of demand multipliers and the travel time reliability assessment. It was found that the main statistics of demand multipliers, that is, the mean, range, and standard deviation, greatly differ across the different multiplying periods. If analyzing peak periods on oversaturated corridors, the adoption of daily-volume multipliers was found to significantly overestimate the mean travel time index and planning time index during both the AM and PM peak periods, the accuracy of the travel time reliability estimation was considerably influenced. The study concludes with major findings and recommendations for possible enhancements to the HCM travel time reliability procedure.Dehman, A (corresponding author), Hasselt Univ, Transportat Res Inst IMOB, Diepenbeek, Belgium.
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Exploring the Sensitivity of Pakistan's Equity Market to Monetary Policy Rate Shifts
No full textThis paper examines the sensitivity of Pakistan's equity market to changes in the monetary policy rate, focusing on the State Bank of Pakistan's role in shaping market dynamics. Using regression analysis and event study methodology, the study analyzes data from 2000 to 2024 to explore how policy rate shifts impact stock prices, market capitalization, and trading volume. The findings reveal that rate increases, especially during inflation control periods, often lead to market volatility and lower returns as investors prefer safer assets. Conversely, rate reductions improve liquidity and boost market performance. These insights can guide policymakers in balancing economic stability with market growth and help investors make informed decisions
Rashid Amjad (ed.) The Pakistani Diaspora: Corridors of Opportunity and Uncertainty. Lahore, Pakistan: Lahore School of Economics. 2017. 337 pages.
No full textThe book “The Pakistani Diaspora, Corridors of Opportunity and
Uncertainty”, which is edited by Rashid Amjad, is a collection of 17
academic essays on Pakistani migrants and Pakistani diaspora in
different countries. This book presents diverse viewpoints in the study
of diaspora. This book does not just analyse the size of the diaspora in
a chronological manner, but it also provides important understanding of
the cost and benefits associated with migration and assimilation of the
migrants’ families in new environments. In the first paper, the author
tries to capture the salient features and dynamics of Pakistan’s “age of
migration” across home and host countries. By 2017, the estimated
diaspora was at 9.1 million – almost 5 per cent of Pakistan’s
population. The labour class started to migrate to the UK in 1950s while
highly skilled professionals started moving to the US and Canada in
1960s. The unskilled and semiskilled workers began to move to the Middle
East in 1970s and due to easing off their visa policies in 1990s,
migrants began moving to Europe, Singapore, Thailand, Malaysia and
Australia from Pakistan. According to the author “A large number of
people face losses in the struggle to migrate to foreign countries. A
majority of illegal migrants are imprisoned in different countries while
trying to reach Europe while dozens are killed on their way to
Greece.
Parution : Al-ʿAllāmah al-Ḥillī (éd), "Foundations of Jurisprudence: An Introduction to Imāmī Shīʿī Legal Theory", Brill, 2016.
No full textParution : al-ʿAllāmah al-Ḥillī (éd.), Foundations of Jurisprudence - An Introduction to Imāmī Shīʿī Legal Theory, 2016. by al-ʿAllāmah al-Ḥillī. Introduction, Translation and Arabic Edition by Sayyid Amjad H. Shah Naqavi Foundations of Jurisprudence: An Introduction to Imāmī Shīʿī Legal Theory is a critical edition of Mabādiʾ al-wuṣūl ilā ʿilm al-uṣūl by al-ʿAllāmah al-Ḥillī, based upon six manuscripts, four of which date from the lifetime of the author. Sayyid Amjad H. Shah N..
A Computational Approach to Understanding Agglutinative Structures in Urdu
No full textThis study investigates the computational challenges and opportunities presented by the agglutinative structures in Urdu, a language characterized by its complex system of morpheme-based word formation. Agglutinative languages, including Urdu, pose significant difficulties in natural language processing (NLP) due to the intricate ways in which morphemes each carrying distinct grammatical or semantic meanings are combined to form words. Despite its linguistic richness and central role among South Asian languages, Urdu has been relatively underrepresented in global computational research, leading to a lack of robust NLP tools tailored to its unique morphological features. This gap highlights the need for extensive linguistic resources, including annotated corpora and models that can specifically address the complexities of Urdu's agglutinative morphology, which remain largely unexplored. Using the Emille Urdu Corpus, this research systematically analyzes the frequency and distribution of agglutinative structures in Urdu. A Python-based annotation process was employed to tag prefixes and suffixes, facilitating a more granular understanding of Urdu morphology. The study highlights key patterns, such as the prevalent use of prefixes like "نا-" (nā-) and "بد-" (bad-) to form words with negative connotations and the transformation of adjectives and verbs into nouns through suffixes like "-گی " (gī) and "-ی" (ī). Furthermore, the research explores the limitations of traditional rule-based models in handling Urdu’s morphological complexity and advocates for the adoption of machine learning and deep learning techniques. These modern approaches, particularly Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs), show promise in accurately modeling Urdu's agglutinative morphology, though they require extensive linguistic data and computational resources. The findings underscore the need for comprehensive linguistic resources and advanced computational models to enhance Urdu NLP. By addressing these challenges, the study aims to contribute to the development of more effective and scalable NLP tools, thereby improving access to Urdu-language content in digital platforms and advancing the broader field of computational linguistics for agglutinative languages
Toward a New Paradigm for Author Name Disambiguation
No full textAuthor Name Disambiguation (AND) has emerged as a significant challenge in the bibliometric context with the growing volume of scientific literature. When citations written by different authors have the same names (polysemy or homonym names), and when an author has different names, there is ambiguity (synonyms or name variants). It is difficult to associate a citation with the correct author. Polysemy and synonyms cause merging and splitting anomalies in the citations. These anomalies affect the quantification of an author’s productivity (bibliometric analysis) and the reliability and quality of the information retrieved. Many techniques for AND have been proposed in the literature; most of them do not go beyond string matching or text matching. Most of the existing work do not consider the context or semantics of the terms used in the citations. In this study, the AND problem is resolved semantically using the deep learning technique on the PubMed dataset. The experimental results show that the proposed method achieves overall (11.72 %, 12.5 %, and 12.1 %) higher precision, recall, and f-measure than the pairwise class classification
Data for "In situ readout of DNA barcodes and single base edits facilitated by in vitro transcription "
No full textThis dataset provides the raw and analyzed data as well as the code to recreate results reported in the paper "In situ readout of DNA barcodes and single base edits facilitated by in vitro transcription". The dataset is organized based on the figures and figure panels of the paper, with the codes provided as Matlab and R scripts. Please contact the corresponding author for any questions or comments regarding the data, the code, the methods, or the reagents used here.Related Publication:
In situ readout of DNA barcodes and single base edits facilitated by in vitro transcription
Askary, Amjad Caltech
Nature Biotechnology
https://doi.org/10.1038/s41587-019-0299-4
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