New Muslim movements in South India, such as the Solidarity Youth movement, re-formulated Muslim priorities towards human rights, democracy, development, environmental activism, and minorities. I read Solidarity Youth Movement as proposing an ethic of Islam’s conception of justice, while also drawing inspiration from the influential Islamist Abul A’la Maududi. Focusing on jurisprudential debates, I look at the ways in which Maududi’s intervention informs the praxis of Solidarity Youth Movement. This paper seeks the possibility of examining their activism as an instance (...) of juristic deliberation, linked to the revival of maqāṣid al-sharī’ah in the latter part of the twentieth century. I suggest a reading of their maqāṣid approach, born out of praxis in a Muslim minority context, as potentially informing the development of fiqh al-aqalliyah. (shrink)

Accurate statistical analysis of Fortnite gameplay data is essential for improving gaming strategies and performance. In this study, we present a novel approach to analyze Fortnite statistics using machine learning techniques. Our dataset comprises a wide range of gameplay metrics, including eliminations, assists, revives, accuracy, hits, headshots, distance traveled, materials gathered, materials used, damage taken, damage to players, damage to structures, and more. We collected this dataset to gain insights into Fortnite player performance and strategies. The proposed model employs advanced (...) machine learning algorithms and data preprocessing techniques. We aim to identify key performance indicators and influential factors that contribute to Fortnite success. By exploring patterns and relationships within the dataset, our model can provide valuable insights into gameplay optimization. Our research involves feature analysis to determine the most influential factors in predicting Fortnite performance. These factors include eliminations, assists, revives, accuracy, hits, headshots, distance traveled, materials gathered, materials used, damage taken, damage to players, damage to structures, and more. By understanding the impact of these factors, we aim to help Fortnite players enhance their skills and strategies. Through extensive training and validation of our machine learning model, we achieved remarkable results, with an accuracy rate of [Your Accuracy Rate]% and an average error of [Your Average Error]. This research not only provides valuable insights into Fortnite gameplay but also offers a foundation for future research in the field of esports analytics and performance optimization. (shrink)

As a type of evidence glass can be very useful contact trace material in a wide range of offences including burglaries and robberies, hit-and-run accidents, murders, assaults, ram-raids, criminal damage and thefts of and from motor vehicles. All of that offer the potential for glass fragments to be transferred from anything made of glass which breaks, to whoever or whatever was responsible. Variation in manufacture of glass allows considerable discrimination even with tiny fragments. In this study, we worked glass classification (...) and testing of artificial neural network model created by the JustNN. The aim of the study is help investigator in identifying the type of glass found in arena of the crime. The Neural Network model was trained and validated using the type of glass dataset. The accuracy of model in predicting the type of glass reached 96.7%. Thus neural network is suitable for predicating type of glasses. (shrink)

In many areas, technology has facilitated many things, diagnosing diseases, regulating traffic and teaching students in schools rely on Intelligent systems to name a few. At present, traditional classroom-based education is no longer the most appropriate in schools. From here, the idea of intelligent e-learning for students to increase their culture and keep them updated in life began. E-learning has become an ideal solution, relying on artificial intelligence, which has a footprint in this through the development of systems based on (...) education without a teacher taking into account the individual differences of students. This study describes intelligent tutoring system for teaching the Data Manipulation Language (DML) Commands Using SQLite to non IT students to overcome the difficulties they face. The System was built as education system by using the researcher own authoring tool that based on mobile and web App. The basic idea of this system is a systematic introduction into the concept of Database and its DML query. The system presents the topic of DML Commands, help student to execute what they are learn from the system content using the practical part of the system and administers automatically adapted at run time to the student’s individual growth. The system was assessed by a group of teachers and students and the outcome showed as 91% from the database specialists, 94% from Diploma students group and 89% from the secondary school students group. (shrink)

Tourism literature has shown there is a disagreement amongst academics conducting tourism research as to whether tourism is an academic community, academic study, and/or academic discipline. These three terms are used loosely and change in meaning depending upon the author, source, context, and discipline of the author(s). The following paper identifies tourism’s current position in academia using these three ideas of academic acceptance as tools to guide the discussion. Also guiding the discussion are ideas from tourism scholars and Kuhn’s ideas (...) of what constitutes a discipline. The discussion leads to a debate about “truths” in tourism research. Recommendations regarding the advancement of tourism in academia via theory construction in the academic field of tourism are presented. (shrink)

As healthcare technologies rapidly progress, a paramount concern arises: are individuals adequately prepared for the current challenges accompanying these advancements? Despite regulatory measures in place, the persistent issue of privacy demands heightened attention and prioritization. This essay aims to consistently underscore the significance of privacy in the evolving landscape of healthcare technologies, fostering a future where the advantages of these innovations are managed with responsibility. We present an ethical analysis addressing privacy apprehensions in emerging healthcare technologies, accompanied by recommendations for (...) viable solutions to address these pressing concerns. It is concluded that hasty acceptance of new healthcare technology should be resisted, advocating instead for the allocation of resources and time to address privacy issues associated with emerging healthcare innovations. This commitment is indispensable for the well-being of patients, healthcare providers, technology enterprises, policymakers, activists, and the public. (shrink)

Abstract: The integration of Artificial Intelligence (AI) into educational technology has revolutionized learning through Intelligent Tutoring Systems (ITS). These systems harness AI to deliver personalized, adaptive instruction that caters to individual student needs, thereby enhancing learning outcomes and engagement. This paper explores the evolution and impact of ITS, highlighting key AI technologies such as machine learning, natural language processing, and adaptive algorithms that underpin their functionality. By examining various case studies and applications, the paper illustrates how ITS have transformed traditional (...) educational practices and identifies the challenges and limitations associated with their implementation, including data privacy concerns and system biases. The discussion also extends to future directions in ITS development, emphasizing emerging trends and potential advancements. Ultimately, this paper aims to provide a comprehensive understanding of how ITS leverage AI to enhance educational experiences and propose pathways for future research in this dynamic field. (shrink)

Many articles have emerged in relation to the recent revolutions and protest movements in the Arab world in general, including the Syrian revolution. However, Barout’s series of articles can be viewed as the first analytical, forward-looking, and indepth study of the progression of the events in Syria to date (November 2011). For this reason, and because these studies deal with significant issues for the Syrian people, a critical discussion of some of the most important ideas and facts in these studies (...) will be presented here. The criticism will seek to demonstrate the inherent legitimacy of these ideas, while simultaneously exploring the limitations of this same legitimacy. . (shrink)

This paper offers preliminary notes on Buddhism in modern Muslim exegesis with an emphasis on Tafsir al-Qasimi by Muhammad Jamal al-Din al-Qasimi (1866–1914) and al-Mizan fi Tafsir al-Qurʾan by Muhammad Husayn Tabatabaʾi (1892-1981). The research adopts a qualitative design using content analysis to collect the data. In this paper two main questions regarding both exegetes will be explored. The first question concerns the sources of both scholars for their information about Buddhism by including the discussion in their exegesis. The (...) second question concerns the methodology they used to discuss Buddhism in the Qurʾan since this has not been done by any classical exegetes nor among the most modern exegetes. Studies have found that the approach of the two exegetes is different from both the classical and modern exegetes because their work also contains resources from the fields of comparative religion and the history of religion to make their work relevant in the current context and reliable to be referred to by any parties. The author concludes that both al-Qasimi and Tabatabaʾi used analysis (taḥlil) in discussing verses related to the position of the Buddha. (shrink)