174 research outputs found
TV viewership and political participation in Pakistan
No full textThis data is based on the following Research Questions:
RQ1: Whether there is any relationship between the university students level of political knowledge and their political TV talk shows watching habits?
RQ2: What is the relationship between the level of political awareness and watching TV political talk shows among students in Lahore, Pakistan?
RQ3: Is there any relationship between political participation and TV political talk shows watching among university students in Lahore, Pakistan?
The data analysis revealed a significant positive relationship between television political talk shows watching and political participation of university students of Lahore in Pakistan General Elections 2018. Also, there is a mediation role of political knowledge.
The data was gathered from the public sector and private sector universities of Lahore during September and October 2018 after the General Elections. Undergraduate and postgraduate level students were included among the respondents and it was collected through a self-administered paper and pencil questionnaire comprising 30 close-ended questions adapted from already built scales (McLeod et al., 2013). The data can be reused for studying the role of TV viewership and political participation, especially in the case of the youth and university students
TV viewership and political participation in Pakistan
No full textThis data is based on the following Research Questions:
RQ1: Whether there is any relationship between the university students level of political knowledge and their political TV talk shows watching habits?
RQ2: What is the relationship between the level of political awareness and watching TV political talk shows among students in Lahore, Pakistan?
RQ3: Is there any relationship between political participation and TV political talk shows watching among university students in Lahore, Pakistan?
The data analysis revealed a significant positive relationship between television political talk shows watching and political participation of university students of Lahore in Pakistan General Elections 2018. Also, there is a mediation role of political knowledge.
The data was gathered from the public sector and private sector universities of Lahore during September and October 2018 after the General Elections. Undergraduate and postgraduate level students were included among the respondents and it was collected through a self-administered paper and pencil questionnaire comprising 30 close-ended questions adapted from already built scales (McLeod et al., 2013). The data can be reused for studying the role of TV viewership and political participation, especially in the case of the youth and university students
Beena Sarwar Author Archives in The Wire
No full textSeveral reports and opeds at this link https://thewire.in/author/beena-sarwa
Author gender identification for Urdu articles
No full textThis is an accepted manuscript of an article published by Springer in Lecture Notes in Computer Science on 21/09/2022. The accepted version of the publication may differ from the final published versionIn recent years, author gender identification has gained considerable attention in the fields of computational linguistics and artificial intelligence. This task has been extensively investigated for resource-rich languages such as English and Spanish. However, researchers have not paid enough attention to perform this task for Urdu articles. Firstly, I created a new Urdu corpus to perform the author gender identification task. I then extracted two types of features from each article including the most frequent 600 multi-word expressions and the most frequent 300 words. After I completed the corpus creation and features
extraction processes, I performed the features concatenation process. As a result each article was represented in a 900D feature space. Finally, I applied 10 different well-known classifiers to these features to perform the author gender identification task and compared their performances against state-of-the-art pre-trained multilingual language models, such as mBERT, DistilBERT, XLM-RoBERTa and multilingual DeBERTa, as well as Convolutional Neural Networks (CNN). I conducted extensive experimental studies which show that (i) using the most frequent 600 multi-word expressions as features and concatenating them with the most frequent 300 words as features improves the accuracy of the author gender identification task, and (ii) support vector machines outperforms other classifiers, as well as fine-tuned pre-trained language models and CNN. The code base and the corpus can be found at: https://github.com/raheem23/Gender_Identification_Urdu
Prevotella intermedia ジペプチダーゼAの基質特異性の決定と新規オートプロセシング機構
Get PDFPrevotella intermedia, a gram-negative anaerobic rod, is frequently observed in subgingival polymicrobial biofilm from adults with chronic periodontitis. Peptidases in periodontopathic bacteria are considered to function as etiological reagents. Pre. intermedia OMA14 cells abundantly express an unidentified cysteine peptidase specific for Arg-4-methycoumaryl-7- amide (MCA). BAU17746 (locus tag, PIOMA14_I_1238) and BAU18827 (locus tag, PIOMA14_II_0322) emerged as candidates of this peptidase from the substrate specificity and sequence similarity with C69-family Streptococcus gordonii Arg-aminopeptidase. The recombinant form of the former solely exhibited hydrolyzing activity toward Arg-MCA, and BAU17746 possesses a 26.6% amino acid identity with the C69-family Lactobacillus helveticus dipeptidase A. It was found that BAU17746 as well as L. helveticus dipeptidase A was a P1-position Arg-specific dipeptidase A, although the L. helveticus entity, a representative of the C69 family, had been reported to be specific for Leu and Phe. The fulllength form of BAU17746 was intramolecularly processed to a mature form carrying the N-terminus of Cys15. In conclusion, the marked Arg-MCA-hydrolyzing activity in Pre. intermedia was mediated by BAU17746 belonging to the C69-family dipeptidase A, in which the mature form carries an essential cysteine at the N-terminus.長崎大学学位論文 学位記番号:博(医歯薬)甲第1215号 学位授与年月日:令和2年3月19日Author: Mohammad Tanvir Sarwar, Yuko Ohara-Nemoto, Takeshi Kobayakawa, Mariko Naito and Takayuki K. NemotoCitation: Biological Chemistry, Article in Pres
Author verification of Nahj Al-Balagha
Get PDFThis is an accepted manuscript of an article published by OUP in Digital Scholarship in the Humanities on 20/01/2022.
The accepted version of the publication may differ from the final published version. Available online at https://doi.org/10.1093/llc/fqab103The primary purpose of this paper is author verification of the Nahj Al-Balagha, a book attributed to Imam Ali and over which Sunni and Shi’i Muslims are proposing different theories. Given the morphologically complex nature of Arabic, we test whether morphological segmentation, applied to the book and works by the two authors suspected by Sunnis to have authored the texts, can be used for author verification of the Nahj Al-Balagha. Our findings indicate that morphological segmentation may lead to slightly better results than whole words, and that regardless of the feature sets, the three sub-corpora cluster into three distinct groups using Principal Component Analysis, Hierarchical Clustering, Multi-dimensional Scaling and Bootstrap Consensus Trees. Supervised classification methods such as Naive Bayes, Support Vector Machines, k Nearest Neighbours, Random Forests, AdaBoost, Bagging and Decision Trees confirm the same results, which is a clear indication that (a) the book is internally consistent and can thus be attributed to a single person, and (b) it was not authored by either of the suspected authors
Trends of research productivity across author gender and research fields: A multidisciplinary and multi-country observational study
Get PDFBibliographic properties of more than 75 million scholarly articles, are examined and trends in overall research productivity are analysed as a function of research field (over the period of 1970–2020) and author gender (over the period of 2006–2020). Potential disruptive effects of the Covid-19 pandemic are also investigated. Over the last decade (2010–2020), the annual number of publications have invariably increased every year with the largest relative increase in a single year happening in 2019 (more than 6% relative growth). But this momentum was interrupted in 2020. Trends show that Environmental Sciences and Engineering Environmental have been the fastest growing research fields. The disruption in patterns of scholarly publication due to the Covid-19 pandemic was unevenly distributed across fields, with Computer Science, Engineering and Social Science enduring the most notable declines. The overall trends of male and female productivity indicate that, in terms of absolute number of publications, the gender gap does not seem to be closing in any country. The trends in absolute gap between male and female authors is either parallel (e.g., Canada, Australia, England, USA) or widening (e.g., majority of countries, particularly Middle Eastern countries). In terms of the ratio of female to male productivity, however, the gap is narrowing almost invariably, though at markedly different rates across countries. While some countries are nearing a ratio of .7 and are well on track for a 0.9 female to male productivity ratio, our estimates show that certain countries (particularly across the Middle East) will not reach such targets within the next 100 years. Without interventional policies, a significant gap will continue to exist in such countries. The decrease or increase in research productivity during the first year of the pandemic, in contrast to trends established before 2020, was generally parallel for male and female authors. There has been no substantial gender difference in the disruption due to the pandemic. However, opposite trends were found in a few cases. It was observed that, in some countries (e.g., The Netherlands, The United States and Germany), male productivity has been more negatively affected by the pandemic. Overall, female research productivity seems to have been more resilient to the disruptive effect of Covid-19 pandemic, although the momentum of female researchers has been negatively affected in a comparable manner to that of males
CAG : stylometric authorship attribution of multi-author documents using a co-authorship graph
Get PDF© 2020 The Authors. Published by IEEE. This is an open access article available under a Creative Commons licence.
The published version can be accessed at the following link on the publisher’s website: https://ieeexplore.ieee.org/document/8962080Stylometry has been successfully applied to perform authorship identification of single-author documents (AISD). The AISD task is concerned with identifying the original author of an anonymous document from a group of candidate authors. However, AISD techniques are not applicable to the authorship identification of multi-author documents (AIMD). Unlike AISD, where each document is written by one single author, AIMD focuses on handling multi-author documents. Due to the combinatoric nature of documents, AIMD lacks the ground truth information - that is, information on writing and non-writing authors in a multi-author document - which makes this problem more challenging to solve. Previous AIMD solutions have a number of limitations: (i) the best stylometry-based AIMD solution has a low accuracy, less than 30%; (ii) increasing the number of co-authors of papers adversely affects the performance of AIMD solutions; and (iii) AIMD solutions were not designed to handle the non-writing authors (NWAs). However, NWAs exist in real-world cases - that is, there are papers for which not every co-author listed has contributed as a writer. This paper proposes an AIMD framework called the Co-Authorship Graph that can be used to (i) capture the stylistic information of each author in a corpus of multi-author documents and (ii) make a multi-label prediction for a multi-author query document. We conducted extensive experimental studies on one synthetic and three real-world corpora. Experimental results show that our proposed framework (i) significantly outperformed competitive techniques; (ii) can effectively handle a larger number of co-authors in comparison with competitive techniques; and (iii) can effectively handle NWAs in multi-author documents.This work was supported in part by the Digital Economy Promotion Agency under Project MP-62-0003, and in part by the Thailand
Research Fund and Office of the Higher Education Commission under Grant MRG6180266.Published versio
Tweet coupling: a social media methodology for clustering scientific publications
Get PDFThis is an accepted manuscript of an article published by Springer in Scientometrics on 18/05/2020, available online: https://doi.org/10.1007/s11192-020-03499-1
The accepted version of the publication may differ from the final published version.© 2020, Akadémiai Kiadó, Budapest, Hungary. We argue that classic citation-based scientific document clustering approaches, like co-citation or Bibliographic Coupling, lack to leverage the social-usage of the scientific literature originate through online information dissemination platforms, such as Twitter. In this paper, we present the methodology Tweet Coupling, which measures the similarity between two or more scientific documents if one or more Twitter users mention them in the tweet(s). We evaluate our proposal on an altmetric dataset, which consists of 3081 scientific documents and 8299 unique Twitter users. By employing the clustering approaches of Bibliographic Coupling and Tweet Coupling, we find the relationship between the bibliographic and tweet coupled scientific documents. Further, using VOSviewer, we empirically show that Tweet Coupling appears to be a better clustering methodology to generate cohesive clusters since it groups similar documents from the subfields of the selected field, in contrast to the Bibliographic Coupling approach that groups cross-disciplinary documents in the same cluster.The authors (Saeed-Ul Hassan & Mudassir Shabbir) were funded by the CIPL (National Center in Big Data and Cloud Computing (NCBC) grant, received from the Planning Commission of Pakistan, through Higher Education Commission (HEC) of Pakistan. This work was partially supported by the Spanish Ministry of Science and Technology under the projects TIN2017-89517-P and TIN2017-83445-P. Eugenio Martínez Cámara was supported by the Spanish Government Programme Juan de la Cierva Incorporación (IJC2018-036092-I).Published versio
Amine-terminated aromatic and semi-aromatic hyperbranched polyamides: synthesis and characterization
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