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In the ninth century (A.H.) the number of Sufis and their sects increased due to Timurids’ attention to Sufis, and as a consequence convents (Khaneqa) became one of the most important economical and political centers. Excessive wealth and spiritual influence of Sufis leaders particularly Sheikhs of Naqshbani kingdom result in Sufism power being twice as much so that, Timurid kings and Sultans used their spiritual influence to legitimize their rules and tried not only to respect and honor them but also, (...) to construct and operate their Khaneqas. Close relationship between Naqshbani’s leaders and Timurid Sultans had a great influence on most country’s affairs, particularly education and training as most of removal and installations in the field of educational affairs were under their views. In this survey, the impact of Naqshbandi’s Sheikhs on educational process during Timurid period was investigated and analyzed by citing library references and implementing analytical-descriptive method. (shrink)

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This article contributes to literature on corporate social responsibility exhibited by industrial clusters in developing countries. The authors conceptualize and empirically investigate the role of donor-funded CSR initiatives aimed at promoting collective action by cluster-based small- and medium-sized enterprises. A case study of the Sialkot football-manufacturing cluster in Pakistan indicates that donor-funded support of CSR initiatives in industrial clusters in developing countries may be short-lived, due to the political economy of aid, the national context of CSR implementation, tensions within SME (...) networks, and negative perceptions of CSR by the cluster-based SMEs themselves. The findings and implications of this analysis can inform both research and policy making in this area. (shrink)

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Homo Socer, de Giorgio Agamben, constitue un ensemble th©♭orique essentiel, o©£ celui-ci d©♭veloppe l'une des constructions les plus saisissantes de la pens©♭e europ©♭enne contemporaine. On en veut pour preuve les lectures, interpr©♭tations et usages multiples qui en sont faits dans des domaines aussi vari©♭s que la th©♭orie contemporaine de l'art, la critique litt©♭raire, les sciences humaines, la philosophie ou encore la pens©♭e politique. Homo Socer est rapidement devenu l'une des r©♭f©♭rences incontournables dans les d©♭bats qui animent actuellement chacun de ces (...) domaines.Anoush Ganjipour r©♭unit ici les contributions d'©tienne Balibar, Thomas B©♭natoul, Barbara Carnevali, Pierre Caye, Marie Goupy, Jean-Luc Nancy, Mathieu Potte-Bonneville, Federico Tarragoni et Giorgio Agamben lui-m©®me, pour proposer la premi©·re approche panoramique d'Homo Socer et, partant, de la pens©♭e de Giorgio Agamben dans sa syst©♭maticit©♭ et sa coh©♭rence interne."--Page 4 of cover. (shrink)

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We examine how corporate social responsibility (CSR) perceptions (association and participation) affect manager creativity at the workplace and its mediating link through organisational identification. We collected data from the National Forum of Environment and Health (NFEH) 2019 that awarded 52 companies in Pakistan. NFEH is a purely non-profit, non-governmental, and voluntary organisation registered under the Voluntary Social Welfare Agencies Ordinance 1961. We employed convenience sampling to collect data from managers of 52 CSR performing organisations in Pakistan. We analyse the data (...) with structural equation modelling (SEM) via R. Findings reveal that CSR association does not affect creativity. In contrast, CSR participation has a significant positive effect on manager creative performance. Furthermore, the decomposition analysis indicated that only in the case of CSR participation, OI has a mediating effect. (shrink)

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The present study investigates the relationship between technology director, internationalisation, and firm performance, assuming the beneficial effect of digital-sustainable corporate governance reforms. We implied the presence of a technology director on the board and empirically examined its impact on firm performance. In addition, we also test business internationalisation as a mediator between the technology director on the board and firm performance. The empirical findings rely on the data retrieved from the S&P Dow Jones Sustainability Index 2019 for 115 top sustainable (...) EU firms and the Thomson Reuters Refinitiv Eikon database. The results reveal a significant positive relationship between the technology director's presence on the board and firm performance. We also find business internationalisation mediates the relationship between the technology director's presence on the board and firm performance. Overall, we try to lay a foundation for a digitally aware board and its impact on important firm decisions. (shrink)

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This study uses a qualitative discourse analysis approach to investigate Pakistani female politicians' discursive representation in print and electronic media. Specifically, the research focuses on the narratives and framing strategies employed by the media to construct and portray the public image of these political figures. By employing Corpus-Assisted Diachronic Discourse Analysis (CADDA), the study traces the changes in media discourse over time, uncovering how gender biases, societal norms, and power dynamics shape the representation of women in Pakistani politics. The findings (...) reveal significant trends in gendered framing, highlighting how media portrayal fluctuates between marginalization and recognition of female politicians' contributions, though gender stereotypes remain deeply embedded in these narratives. The findings of this study have important implications for future media reform initiatives, advocating for a more equitable and balanced representation of women in politics. The insights gained can also inform gender advocacy strategies and policy efforts to enhance women's visibility and leadership roles in traditional and digital media. (shrink)

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The study aims to unfold the linguistic strategies employed by the former prime minister of Pakistan Imran Khan in his speech delivered at the 76th session of the United Nations General Assembly in the year 2021. However, the primary objective has been to explore the functions these linguistics strategies performed to convey the target meanings to the global audience. Fairclough 3D model has been employed as the framework of this study. Hence, the population of the study included the multiple speeches (...) delivered by the former prime minister Imran Khan to UNGA throughout his tenure while the researcher selected a particular sample of only one speech given in 2021 through purposive sampling. The findings revealed the constant use of multiple linguistic strategies by the former prime minister to portray the positive image of Pakistan in front of the whole world by highlighting the importance of global peace. (shrink)

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The Kashmir issue, a principal reason for rivalry between India and Pakistan, has become the atomic flashpoint and a constant threat to the security of South Asia. The aim of this paper is to highlight the root causes of Kashmir disputes and the major events that contributed towards the Indo-Pak rivalry with respect to Kashmir. The paper highlights present political conditions in the Indian-held Kashmir also shows the role of India, Pakistan, and the United Nations in Kashmir Dispute. In the (...) end, a conclusion is presented for the devalued relations of India and Pakistan in the setting of Kashmir and its effects are analyzed. (shrink)

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The primary aim was to assess the role of mental and physical health of COVID-19 and its psychological impact in the general population of Pakistan during the first wave of COVID-19. It was hypothesized that there would be a significant predictive association among socio-demographic variables, psychological impact and mental health status resulting from COVID-19, and poor self-reported physical health would be significantly associated with adverse psychological impact and poor mental health status because of COVID-19. A cross-sectional survey research design was (...) used in which 1,361 respondents were sampled online during lockdown imposed in the country. The Impact of Events Scale-Revised was used to assess the psychological impact of COVID-19, and the Depression Anxiety Stress Scales was used to assess participants’ mental health status. 18% of the respondents reported moderate to severe event-specific distress, 22.6% reported moderate to severely extreme depression, 29% reported moderate to extreme anxiety, and 12.1% reported moderate to extreme stress. Female gender, having graduate-level education, currently studying, and self-reported physical symptoms were significantly associated with higher levels of psychological impact exhibited through higher scores on the IES-R and poorer mental health status exhibited through higher scores on the DASS-21. (shrink)

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In this article, we solve nonlinear systems of third order KdV Equations and the systems of coupled Burgers equations in one and two dimensions with the help of two different methods. The suggested techniques in addition with Laplace transform and Atangana–Baleanu fractional derivative operator are implemented to solve four systems. The obtained results by implementing the proposed methods are compared with exact solution. The convergence of the method is successfully presented and mathematically proved. The results we get are compared with (...) exact solution through graphs and tables which confirms the effectiveness of the suggested techniques. In addition, the results obtained by employing the proposed approaches at different fractional orders are compared, confirming that as the value goes from fractional order to integer order, the result gets closer to the exact solution. Moreover, suggested techniques are interesting, easy, and highly accurate which confirm that these methods are suitable methods for solving any partial differential equations or systems of partial differential equations as well. (shrink)

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In the area of machine learning, different techniques are used to train machines and perform different tasks like computer vision, data analysis, natural language processing, and speech recognition. Computer vision is one of the main branches where machine learning and deep learning techniques are being applied. Optical character recognition is the ability of a machine to recognize the character of a language. Pashto is one of the most ancient and historical languages of the world, spoken in Afghanistan and Pakistan. OCR (...) application has been developed for various cursive languages like Urdu, Chinese, and Japanese, but very little work is done for the recognition of the Pashto language. When it comes to handwritten character recognition, it becomes more difficult for OCR to recognize the characters as every handwritten character’s shape is influenced by the writer’s hand motion dynamics. The reason for the lack of research in Pashto handwritten character data as compared to other languages is because there is no benchmark dataset available for experimental purposes. This study focuses on the creation of such a dataset, and then for the evaluation purpose, a machine is trained to correctly recognize unseen Pashto handwritten characters. To achieve this objective, a dataset of 43000 images was created. Three Feed Forward Neural Network models with backpropagation algorithm using different Rectified Linear Unit layer configurations were trained and tested with this dataset. The simulation shows that Model 1 achieved accuracy up to 87.6% on unseen data while Model 2 achieved an accuracy of 81.60% and 3% accuracy, respectively. Similarly, loss was the lowest for Model 1 with 0.15 and 3.17 for training and testing, followed by Model 2 with 0.7 and 4.2 for training and testing, while Model 3 was the last with loss values of 6.4 and 3.69. The precision, recall, and f-measure values of Model 1 were better than those of both Model 2 and Model 3. Based on results, Model 1 is found to be the most efficient as compared to the other two models in terms of accuracy to recognize Pashto handwritten characters. (shrink)

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