18,064 research outputs found
Introduction to selections from Akram Khan's Tafsirul Qur'an
No full textAt the dawn of the twenty-first century when Muslims in Bengal are still lagging behind other communities and are suffering from the loathsome syndrome of self-defeatism, a look back at the life and work of Mohammad Akram Khan (1868-1969) – popularly known as Maulana Akram Khan – may give rays of hope and bonfires of inspiration to the people at large, especially the Muslims, of this region. As is the case with Rokeya Sakhawat Hossain (1880-1932) and with many other Muslim luminaries of former Bengal, a research on Akram Khan gives us surprises and disbelief that this land could be the fertile ground of such great scholars and that their successors can be oblivious of their rich cultural and intellectual tradition to such an awful extent! When we find ourselves mesmerized by the seemingly superior achievements of other societies and communities both local and foreign – some of whom perhaps for reasons known to them cannot accept Muslims as equals – and engage ourselves in the vicious cycle of self-hatred, the legacy of Akram Khan and the like stares us in the face with a strong feeling of pity and commiseration. While our predecessors in the region left an indelible mark of devotion, selflessness, altruism, profound intellectualism and great scholarship, and above all, self-respect and confidence, we have indulged in flippancy, selfishness, insularity and narrowness, greed and avarice, conceit and narcissism, intellectual pretension, and the worst of all, a fatalistic tendency of self-defeat and self-hate. Studying great figures like Akram Khan may help us wake up from this confused slumber and intellectual disorientation, as it may augur the revival of the lost era of glory and confidence especially in the Muslim community
Does paradise have a future? : a three-gap analysis of the Fiji economy
No full texteconometric models;economic growth;Fiji;external financing;financial needs;macroeconomcis
Web-based conference management system for higher learning institutions
No full textOnline management system is very important nowadays in education (Hamad et al., 2011), recently many systems have been designed in this field to help the users to communicate online (Maimona et al, 2011; Akram et al., 2011; Akram et al., 2012). The Conference Management Online System is the system that will be used by Event Manager in order to manage conference papers that were submitted by the authors, examples of these systems are shown in previous research. In this study, the implementation of system features would provide an efficient submission of conference papers that will be arranged systematically which will be easier for users to understand.
This study is about Conference Management Online System which provides an easier way of managing events when conducting a conference. The system will be specifically built for the convenience of Event Manager in managing online submission of papers and procedures with relation to the Event Manager himself, Reviewers and Authors. Besides that, this system is being proposed due to the lack of Conference Management Online System built especially for a university. This study would not only focus on the development process of the Conference Management Online System but it would also summarizes current system which are in use, design analysis of the new system which will include the flowchart of the systems and requirements needed in order to develop the syste
Series Editors’ Preface from Akram Khan : dancing new interculturalism
No full textSeries Editors’ Preface from Akram Khan : dancing new interculturalis
Confronting Fiji Futures
No full textFiji, post-independence, has seen several governments, two military coups and amidst sweeping social, economic and political changes, the presence of divisive identity politics in its journey towards a united, collective Fiji community. Confronting Fiji Futures takes in these landmark events and eventualities, and aims at a forward-looking assessment of the realities facing Fiji in the present and the future. It focuses on the period of the coups up to and including the 1999 general elections, when an explicitly multiethnic party won government in a surprise landslide result. This book is the result of a collaborative research project based at the Institute of Social Studies, The Hague, in the Netherlands - an institution with a long tradition of collaborative teaching, research and advisory services in the South Pacific region. It aims to present a range of relevant issues from a number of vantage points. It has brought together a strong diversity of authors led by A. Haroon Akram-Lo
The Libidinal Archive: A Conversation with Akram Zaatari
No full textIn this interview the Lebanese artist Akram Zaatari discusses his major works of the last fifteen years, addressing some of the crucial questions informing his approach to video, photography and the politics of documentary representation
Privacy-Preserving Spatial Crowdsourcing Drone Services for Post-Disaster Infrastructure Monitoring: A Conditional Federated Learning Approach
No full textSixth-generation (6G) networks, offering ultra-low latency and high bandwidth, provide critical support for rapid data transmission in post-disaster environments where conventional infrastructure may be compromised. This study presents a privacy-preserving framework for post-disaster structural health monitoring (SHM) by integrating 6G-enabled Internet of Drone Things (IoDT) and spatial crowdsourcing. Drones and unmanned ground vehicles (UGVs) collect real-time imagery of damaged infrastructure. To address privacy concerns and reduce communication overhead, we employ Federated Learning (FL), which enables decentralized model training on local devices without transmitting raw data. A key challenge in FL is the presence of non-independent and identically distributed (non-IID) data across clients, which degrades global model performance. To mitigate this, we propose Personalized Conditional Federated Averaging (PC-FedAvg), a selective aggregation method that incorporates only client models with low validation loss into the global update. The PC-FedAvg framework is built on EfficientNetV2 and includes personalized model adaptation to enhance generalization on heterogeneous data. Experimental results on the “Concrete Crack Images for Classification” dataset demonstrate that PC-FedAvg outperforms baseline FL methods in accuracy and stability. This approach improves the effectiveness and reliability of SHM systems in real-world post-disaster scenarios by enabling timely and accurate damage assessment while preserving data privacy
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