Al-Kindi Center for Research and Development (KCRD) (E-Journals)
Not a member yet
6248 research outputs found
Sort by
Exploring Teachers\u27 Perspectives on the Use of Reciprocal Teaching in Reading Comprehension
No full textScholars, educators and politicians have been interested in English language education for long. Though there’s a rising significance of English as a global language, there still needs to be agreement on the most effective techniques for teaching English language skills, especially English as a second language. Understanding the opinions and attitudes of English instructors towards language instruction could definitely assist in shaping educational practices and initiatives. This research sought to evaluate English instructors’ perspectives on English language education using the reciprocal teaching strategy. Reciprocal teaching is a cooperative learning strategy that aims to improve students\u27 reading comprehension skills, with four components: predicting, clarifying, questioning, and summarizing. English language learning as a second language has become of a wide interest all over the world. As reading comprehension represents one of the key stones of English language learning, the problems of students in the secondary stages in Egypt need to be resolved as a way to facilitate their English language learning. This study is one of the efforts to enhance such students; reading comprehension. It is a descriptive quantitative case study. A teacher questionnaire was used for collecting qualitative data. After preparing, validating and administering the study tool, a questionnaire, to teachers who teach in the experimental language secondary schools, results were in favor of using reciprocal teaching for enhancing these students’ reading comprehension
Preserving and Promoting Good Values of Mother Goddess Worship in Viet Nam Today
No full textThis article aims to find out good values of Mother Goddess worship as well as some shortcomings and limitations arisen from the practice of Mother Goddess worship in Vietnam. At the same time, it proposes solutions to preserve and promote the good values of Mother Goddess worship in Vietnam in the coming time. Good values of Mother Goddess worship and shortcomings and limitations arisen from the practice of Mother Goddess worship in Vietnam have been identified. Then, solutions to preserve and promote the good values of Mother Goddess worship in Vietnam in the coming time are given
On the Difference Between Reminding and Remembering: How God Is Recalled In The Brain
No full textThe survey investigates the significant gap between Faith and Belief, using the conceptual distinction between Human and Man, highlighting the importance of divine reminding over mere remembering. The existence of a distinct genetic code in Humans known as Post Man Human (PMH) is proposed, which allows for a closer relationship with God, in contrast to men\u27s materialistic character. The concept of the sacrificial mind, or "HU", is introduced as a key component of divine reminder that leads to spiritual ascent. The subject then shifts to the history of religious thought, stating that whereas religious systems emphasize memory and historical renewal, Faith is a direct, uncalculated link to God, that fosters love and mercy. I discuss the idea that God\u27s presence transcends individual religious contexts, and argue that the actual essence of divinity can be comprehended through the oneness of diverse religious experiences. It is suggested that, while religious Beliefs and rituals are embedded in specific historical and cultural settings, the Human brain is predisposed to seek a higher power. This search stems from a pre existing ability to comprehend the divine, which develops alongside Human cognitive development. Unlike Belief systems, Faith does not rely on the brain\u27s cognitive processes of memory and judgment, but rather, provides a direct spiritual connection that overcomes these constraints. This divine reminder method is viewed as a technique to avoid the confines of time, place and cognitive limitations, resulting in a more profound and immediate spiritual experience
From Challenge to Catalyst: Reframing NNEST Identity in Global ELT
No full textThe English language teaching (ELT) profession remains steeped in native-speakerism ideologies that disproportionately marginalize non-native English-speaking teachers (NNESTs), despite their constituting the majority of the global ELT workforce. This paper investigates the systemic challenges NNESTs face, including hiring discrimination, wage gaps, and accent bias, while spotlighting their resilience and transformative potential within the profession. Drawing on recent empirical research and policy developments, this paper reframes perceived professional deficits as sources of pedagogical strength. NNESTs’ multilingual awareness, personal language-learning journeys, and cross-cultural competencies position them uniquely to connect with learners and model realistic paths to English proficiency. This paper explores how native speakerism is embedded in structures of coloniality and neoliberalism. It then highlights emerging shifts—both pedagogical and institutional—that prioritize intelligibility over accent. Ultimately, this paper argues that NNESTs are not only overcoming entrenched bias but actively reshaping what it means to be a credible, effective language teacher in a global context. By asserting their legitimacy, NNESTs challenge outdated norms and help create a more inclusive, authentic, and learner-centered vision of English education
Ideological Accommodation in Electoral Discourse: How Liberalism and Populism Reconciled in American Elections 2024?
No full textThe study investigates the use of accommodation strategies that candidates use in electoral discourse to approximate and converge to the Other’s ideology. The context is the American elections in 2024, held between Donald Trump and Kamala Harris. The two candidates represent the two prominent ideologies that predominate the American political context—Populism and Liberalism. The analysis focused on the topics of freedom, abortion and sexual identities. The analysis of the accommodation strategies in the discourse of the two candidates showed salient evidence that the two candidates employed approximation strategies to adjust their ideologies to appeal to the largest section of voters either by evading extreme ideological views or adopting some counter-ideology views
Water Resource Crisis in the Gaza Strip: The Impact of Groundwater and Surface Water Challenges Before and After the October 2023 Conflict
No full textThe Gaza Strip, a densely populated area of around 365 square kilometers, faces a severe water crisis driven by over-extraction of groundwater, contamination, and inadequate management. Groundwater, the main fresh water source, is depleting and contaminated by saline intrusion, untreated sewage, and agricultural runoff, making much of it undrinkable. Surface water, including limited rainfall and local streams, cannot meet the growing demand. Gaza Strip receives only about 300 mm of rainfall annually, far below the global average. With over 2 million people relying on limited water resources, extraction exceeds sustainable levels, further exacerbating the crisis. The region\u27s water challenges are compounded by ongoing political and military conflicts, including wars and a prolonged blockade, which have damaged infrastructure and hindered sustainable water management. As a result, 97% of Gaza’s groundwater is undrinkable, and water quality continues to decline. This paper examines Gaza\u27s water crisis, focusing on the period before and after the October 2023 war. It highlights how the conflict worsened the situation by damaging infrastructure and depleting resources, and explores the impact on public health and agriculture. The paper also investigates potential solutions to improve water sustainability, such as water treatment, desalination, and regional cooperation in line with Sustainable Development Goal 6 (Clean Water and Sanitation)
Sustainability in Business Security: Leveraging Analytics for Cyber Risk Mitigation
No full textSustainability in business security is important when organizations must first develop strategies that will disallow short-term cyber threats while at the same time protecting organizational structures and important operations. This paper aims at identifying how analytics has been incorporated in the cybersecurity practices especially vulnerability management as a long-term security approach. For this study, based on the “vulnerability_assessment_data1.csv” the different attributes like the severity, risk score, and the time of the patch are analyzed using the descriptive and predictive analysis to find out a pattern, which is clearly missing in the current approaches. Techniques of clustering discovered even more repeated patterns in the susceptible software for more pointed actions to be taken. The study lays particular emphasis upon the implications of data-driven access in minimizing the response time and risk that has involved most vulnerability priorities. The present research outcomes reveal how analytics foster improved cybersecurity and sustainability, in terms of operational continuity with the fewest disruptions possible. Lack of an actual set of data as well as assessment of the financial consequences deserve further research exploring the integration of new datasets and considering financial capabilities of the validated model. This research also provides a literature-based argument for the longer-term application of analytics for cyber risk management, which points a direction for businesses to adopt continual and proactive security that is critically needed in a world where threats are set to increase
Exploring Afghanistan\u27s Prospective Role in the Shanghai Cooperation Organization
No full textThis article analyzes the prospects of Afghanistan\u27s presence in the Shanghai Cooperation Organization. Given the increasing importance of this organization in regional and global dynamics, Afghanistan\u27s effective involvement could play a key role in shaping regional economic, security, and political interactions. This research employs qualitative methods and the Delphi strategy to gather and analyze the views of experts and specialists in international politics, regional security, and economics. Data analysis was conducted using the grounded theory method in NVivo software, and the results, based on the Kendall formula, indicate a consensus among experts regarding the significance and challenges of Afghanistan\u27s participation. The research findings suggest that Afghanistan, due to its geostrategic position, rich natural resources, and potential capacities, can serve as a bridge between Central, South, and West Asian countries, thereby strengthening economic and security cooperation within the framework of the Shanghai Cooperation Organization. However, challenges such as internal instability, economic dependency, and geopolitical pressures from foreign powers pose serious obstacles to Afghanistan\u27s active participation in the organization. According to content analysis, there is a consensus among experts that the Shanghai Cooperation Organization, if it enhances its support mechanisms, can provide a suitable platform for bolstering stability and development in Afghanistan. This endeavor requires multilateral cooperation and sustained support from the key members of the organization. The findings of this research can significantly assist policymakers and decision-makers in formulating effective strategies to enhance Afghanistan\u27s role in this organization
Asset Quality and Lending Growth of the Top UAE Banks (2019 – 2023): An Empirical Investigation
No full textThis study aims to thoroughly analyse the intricate relationship between asset quality and lending growth among the major national banks in the UAE from 2019 to 2023. Utilizing the pooled EGLS method and reviewing annual panel data collected from the financial statements of 10 UAE banks during this timeframe, the findings reveal that return on assets (ROA) positively influences loan growth, while non-performing loans negatively affect it, as expected. Interestingly, the capital adequacy ratio seems to have an unexpected negative impact on loan growth. Regarding the factors influencing non-performing loans, the study confirms that, as anticipated, the capital adequacy ratio (CAR), return on assets (ROA), return on equity (ROE), and the ratio of liquid assets to total assets (LIQ) negatively affect the non-performing loans (NPL) of banks in the UAE. These insights are valuable for policymakers, highlighting the importance of asset quality, addressing Non-Performing Loans (NPLs), and reevaluating capital adequacy requirements
Fraud Detection in Financial Transactions: A Unified Deep Learning Approach
No full textFinancial fraud has emerged as a major challenge in today\u27s digital economy, with an increasing number of fraudulent activities targeting online financial systems. This study proposes a unified deep learning approach for detecting fraudulent financial transactions using advanced neural network architectures. Traditional fraud detection methods rely heavily on rule-based or shallow learning algorithms, which often fail to detect novel fraud patterns. In contrast, this research introduces a hybrid framework incorporating convolutional neural networks (CNNs), gated recurrent units (GRUs), and attention mechanisms to capture both spatial and temporal dependencies within transaction sequences. We use a benchmark dataset of anonymized financial transactions, apply comprehensive preprocessing steps including normalization, class balancing, and feature engineering, and evaluate model performance using multiple metrics: RMSE, MAPE, and R^2. Experimental results show that the unified model outperforms conventional machine learning techniques and individual deep learning models in terms of accuracy and robustness. Furthermore, visualizations such as confusion matrices, ROC curves, and prediction plots are used to interpret model effectiveness. This work demonstrates that a unified deep learning strategy not only enhances detection performance but also provides a scalable solution for real-world financial institutions. Our findings highlight the necessity of integrating multiple deep learning architectures to address complex fraud scenarios effectively. Future work aims to extend this model to multimodal data sources such as social behavior and geolocation for enhanced fraud profiling