150 research outputs found
Growth and Poverty in Pakistan: Implications for Governance
No full textAccording to the Economic Surveys, Pakistan’s real GDP has grown at an average annual rate of 6.8 percent in the 1960s, 4.8 percent in the 1970s, 6.5 percent in the 1980s and 4.7 percent in the 1990s. However, that did not seem to have mitigated poverty as parallel to this growth the number of poor also kept swelling. Although different estimates put number of poor in Pakistan around 50 million, the actual could be more [Ahmad (2001)]. The average growth rates in the first halfcentury of Pakistan have been around 2 percent [Hasan (1997)]. It is pertinent to state that this discussion paper is not an attempt to challenge the figures either of the growth rates or the numbers of the poor in Pakistan. This is rather an attempt to understand the correlation of governance with growth on one hand and poverty on the other. It offers conceptual analysis of the concepts and their respective interpretation, explanation, application and ensuing misunderstandings. This paper has also attempted to challenge certain (usual) assumptions and perceptions regarding the role and relationship of growth and governance in reducing poverty in Pakistan. One has pointed out that most of the studies on the subject focus on symptoms and not the causes of poverty. This leads to on one hand growth of poverty, as poverty does not seem to halt despite certain evidence of relatively high growth particularly in 1960s. On the other hand we witness poverty of growth as whatever growth we have had it has hitherto failed either translating into corresponding mitigation of poverty or equitable collective prosperity. This is because there have not been efforts at governance level to ensure equity of impact of growth through adequate distribution mechanisms, sufficient social and human investments leading to education and skill development of women and men, who in turn could benefit from opportunities arising by way of process of economic growth.
Replication Data for: Living Together, Voting Together: Voters moving in together before an election have higher turnout
No full textThe readme for the replication archive for "Living Together, Voting Together: Voters moving in together before an election have higher turnout"
by Dahlgaard JO, Bhatti Y, Hansen JH and Hansen KM*
published in British Journal of Political Science
Year 2021
*Corresponding author: Department of Political Science, University of Copenhagen, [email protected], www.kaspermhansen.eu. Øster Farimagsgade 5, 1353 Copenhagen K, Denmark, Cell +45 51245005.
The administrative data used for most files are not part of the replication archive as they can not be share according to Statistics Denmark's Terms & Conditions.
PLease see https://www.dst.dk/en/TilSalg/Forskningsservice# about general access to Statistics Denmark data for research
User Education Programme in the John Rylands University Library of Manchester: A Case Study
No full textThe paper reports a case study which was conducted during the doctoral research by the author. It aimed to find out the relevance of user education programme in academic libraries to the teaching and learning process. Data for the study was collected through the questionnaires, interviews with the library user-education specialists, other library staff, students and faculty. The multidisciplinary approach was applied to investigate the library’s activities in providing user education to new students. It emerged from the findings that for students to become truly information literate, the best way is to integrate the user education programmes into the university’s core curriculum
Scalable centralized and distributed spectral clustering
No full textSpectral clustering approaches have led to well-accepted algorithms for finding accurate clusters in a given dataset. However, their application to large-scale datasets has been hindered by the computational complexity of eigenvalue decompositions. Several algorithms have been proposed in the recent past to accelerate spectral clustering, however, they compromise on the accuracy of the spectral clustering to achieve faster speed. In this paper, we propose a novel spectral clustering algorithm based on a mixing process on a graph. Unlike the existing spectral clustering algorithms, our algorithm does not require computing eigenvectors. Specifically, it finds the equivalent of a linear combination of eigenvectors of the normalized similarity matrix weighted with corresponding eigenvalues. This linear combination is then used to partition the dataset into meaningful clusters. Simulations on real datasets show that partitioning datasets based on such linear combinations of eigenvectors achieve better accuracy than standard spectral clustering methods as the number of clusters increase. Our algorithm can easily be implemented for parallel processing.
In the past few years, the size of a typical dataset has grown exponentially making it impossible to the store the data in a single system. Thus distributed systems are employed to store the data. Most of the clustering algorithms are tailored towards data stored in a centralized system which makes them inappropriate for the distributed system. Moreover, the large scale of the data prohibits us from moving it to a central location to use a centralized algorithm. Our approach to distributed spectral clustering works in two phases. In phase 1, individual machines generate a set of representative points of the local data and communicate it to a central machine. In phase 2, the central machine performs spectral clustering on the data and communicates the cluster assignment of the representative points to the corresponding nodes. We have explored various algorithms to generate the representative points and compare their trade-offs and accuracy. Our algorithm can easily be cast in the MapReduce framework.Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2020-08-01The student, Shahzad Bhatti, accepted the attached license on 2018-06-24 at 19:39.The student, Shahzad Bhatti, submitted this Dissertation for approval on 2018-06-24 at 19:54.This Dissertation was approved for publication on 2018-06-26 at 09:00.DSpace SAF Submission Ingestion Package generated from Vireo submission #12667 on 2018-09-27 at 11:33:38Made available in DSpace on 2018-09-27T16:45:34Z (GMT). No. of bitstreams: 2
BHATTI-DISSERTATION-2018.pdf: 1054696 bytes, checksum: c595303f5c9fef3530b8894bbcb4567d (MD5)
LICENSE.txt: 4211 bytes, checksum: 4586a492bf0a8f22d127b0a690252721 (MD5)
Previous issue date: 2018-06-26Embargo set by: Seth Robbins for item 107869
Lift date: 2020-09-27T16:45:39Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 107869
Lift date: 2020-09-27T16:47:41Z
Reason: Author requested closed access (OA after 2yrs) in Vireo ETD systemLimited Restriction Lifted for Item 107869 on 2020-09-28T09:15:19Z
The 6-week Wikipedia translation sprint: a case study in fast medical knowledge equity
No full textOne of our long-standing partners in Scotland is the IDEA Network at the the University of St Andrews. Based at the School of Computer Science, the Network looks broadly to make knowledge production inclusive, diverse, equitable and accessible. Part of their work has been the development of a range of Wiki-activities in and out of the classroom, including Summer programmes, undergraduate and postgraduate work, as well as outreach events with community partners. At the time of writing, on-wiki material which has been worked on as part of the Network’s activity has gained 3.38 million article views.
I invited Dr Ross (who, along with Dr Ardati, also of the IDEA network, and Dr Bhatti, a co-author of the below blog, have all attended Wikimedia UK Train the Trainer courses) to tell us more about one of this year’s Summer programmes.
/ (Dr Sara Thomas, Programme Manager, Wikimedia UK
Refugee children in our schools: Prevention and intervention of mental health issues
No full textNumerous research studies indicate that refugee children attending schools in California are at greater risk of developing mental health issues due to their experiences which may have included chronic adversities during pre-migration, migration and resettlement (Bhatti, 2010; del Valle, 2002; Fazel & Stein, 2009). Furthermore, prior research by the first author of this project indicated that there was a lack of awareness of refugee children by school psychologists. In addition, dialogue with school psychologists indicated that their lack of knowledge of refugee children was because refugee students can be recognized as English Language Learners and sometimes as homeless students. This lack of awareness prompted these authors to endeavor to assist school administration in the identification process. Knowing the history and cultural practices of the refugee families in California was considered important background information. A Response to Intervention (RtI) prevention/intervention approach utilized by school psychologists or counselors to screen or assess and address these students' social-emotional and academic needs was discussed. The information presented in this project was used as the basis for a six-hour training workshop intended to be presented by school psychologists and/or counselors. The intended result is that educators working with refugee students will have empirically based information on how best to screen and intervene with refugee children in their schools
Hydraulic simulations to evaluate and predict design and operation of the Chashma Right Bank Canal
No full textIrrigation systems / Irrigation canals / Flow control / Velocity / Canal regulation techniques / Hydraulics / Simulation models / Design / Operations / Crop-based irrigation / Distributary canals / Water delivery / Policy / Protective irrigation / Water allocation / Water requirements / Sedimentation / Water distribution / Equity / Water conveyance / Pakistan / Chashma Right Bank Canal
Refugee children in our schools: prevention and intervention of mental health issues
No full textProject (Ed.S., School Psychology) -- California State University, Sacramento, 2011.Numerous research studies indicate that refugee children attending schools in California are at greater risk of developing mental health issues due to their experiences which may have included chronic adversities during pre-migration, migration and resettlement (Bhatti, 2010; del Valle, 2002; Fazel & Stein, 2009). Furthermore, prior research by the first author of this project indicated that there was a lack of awareness of refugee children by school psychologists. In addition, dialogue with school psychologists indicated that their lack of knowledge of refugee children was because refugee students can be recognized as English Language Learners and sometimes as homeless students. This lack of awareness prompted these authors to endeavor to assist school administration in the identification process. Knowing the history and cultural practices of the refugee families in California was considered important background information. A Response to Intervention (RtI) prevention/intervention approach utilized by school psychologists or counselors to screen or assess and address these students??? social-emotional and academic needs was discussed.\ud
\ud
The information presented in this project was used as the basis for a six-hour training workshop intended to be presented by school psychologists and/or counselors. The intended result is that educators working with refugee students will have empirically based information on how best to screen and intervene with refugee children in their schools.School Psycholog
Professor Dr. Rubina Bhatti, Leader in Library and Information Science Research in the South Punjab, Pakistan: Bio-Bibliometric analysis utilizing the Scopus database
No full textThe current study aims to evaluate the Scopus-indexed publications of Professor Dr. Rubina Bhatti, Dean, Faculty of Social Sciences and Chairperson, Department of Library and Information Sciences (LIS) at Islamia University of Bahawalpur (IUB), Pakistan. She obtained her Master’s degree in LIS in 1991 from IUB, later she joined IUB as a Lecturer in the Department of LIS in 1993. She completed her Ph.D. at The University of Manchester, United Kingdom in 2003. She is the most productive LIS author belonging to the Southern part of Punjab province in Pakistan. The data of this study was retrieved from the Scopus database on January 2nd, 2023. The data analysis presented the periodic growth of papers, citation impact, authorship pattern, collaborative authors, frequently used sources of publications, topographic distribution of papers based on authors’ used keywords and characteristics of top-cited papers. The findings of this study would encourage the females of Pakistan through sincere hard work, commitment and dedication, any female can achieve success in her practical and professional career
- …
