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All Journal Journal International Inspire Education Technology (JIIET) Journal of World Future Medicine, Health and Nursing Journal of Tecnologia Quantica Journal of Humanities Research Sustainability
Abdallah, Mona
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Humanities Computer Science & IT Education Health Professions Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary

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Technology-Based Care Model: Building a Sustainable Nursing System in Disadvantaged Areas Fatsena, Rizka Adela; Ahmed, Dina; Abdallah, Mona; Indrayani, Siska
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 2 (2025)
Publisher : Yayasan Pendidikan Islam Daarut Thufulah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i2.1910

Abstract

In disadvantaged areas, limited access to healthcare services poses significant challenges to achieving equitable health outcomes. The integration of technology in healthcare systems has been proposed as a solution to bridge gaps in access and quality, particularly in nursing care. This research explores the effectiveness of a technology-based care model in building a sustainable nursing system in underserved regions. The study utilizes a mixed-methods approach, combining quantitative data on health outcomes with qualitative insights from healthcare providers and patients. The findings indicate that technology-based interventions, such as telemedicine, mobile health applications, and remote patient monitoring, led to a 20% improvement in patient outcomes and a 30% reduction in healthcare delivery costs. Additionally, healthcare providers reported increased efficiency and job satisfaction due to the support offered by technology in monitoring patient conditions and facilitating remote consultations. The study concludes that the adoption of technology-driven care models can significantly enhance nursing systems in disadvantaged areas by improving accessibility, efficiency, and sustainability of care. However, challenges related to infrastructure, training, and data security must be addressed to ensure the success of such models. Future research should focus on scaling these models to other resource-limited settings and assessing their long-term impact.
Developing Effective E-Learning Modules for Adult Education Santoso, Ekbal; Hossam, Ahmed; Abdallah, Mona
Journal International Inspire Education Technology Vol. 4 No. 1 (2025)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/jiiet.v4i1.791

Abstract

The demand for flexible and accessible education has led to the increasing adoption of e-learning in adult education. Traditional learning models often fail to accommodate the diverse needs of adult learners, who require self-paced, interactive, and practical learning experiences. Effective e-learning modules must incorporate pedagogical strategies that enhance engagement, knowledge retention, and skill application. This study aims to develop and evaluate e-learning modules tailored to adult learners by assessing their effectiveness in improving learning outcomes, motivation, and user experience. A mixed-methods research approach was employed, combining learner performance assessments, user feedback surveys, and instructor interviews. Findings indicate that interactive content, adaptive learning pathways, and real-time feedback significantly enhance adult learner engagement and comprehension. Statistical analysis revealed a strong correlation between structured e-learning design and improved knowledge retention. The study concludes that well-designed e-learning modules contribute to effective adult education by promoting autonomous learning and practical skill development. Future research should explore the long-term impact of e-learning on professional growth and strategies for optimizing digital learning environments for diverse adult learner populations.
Quantum Simulation for Studying High-Temperature Superconductors Sayed, Yasser; Hossam, Ahmed; Abdallah, Mona
Journal of Tecnologia Quantica Vol. 1 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v1i6.1701

Abstract

High-temperature superconductors are a very interesting phenomenon because they can operate at much higher temperatures compared to conventional superconductors. However, the mechanism underlying superconductivity at high temperatures is still not fully understood. This study aims to study the properties of high-temperature superconductors through quantum simulations to identify factors that affect the critical temperature and phase stability of superconductors. The method used is quantum simulation using the Monte Carlo technique to model electron-interaction and magnetic fluctuations in various high-temperature superconducting materials, such as cuprates and iron-based superconductors. The results showed that strong electron interactions and optimal crystal structure played an important role in achieving high critical temperatures, while strong magnetic fluctuations could disrupt the stability of Cooper pairs and lower critical temperatures. This research contributes to a deeper understanding of the role of electron-interaction and magnetic fluctuations in high-temperature superconductivity, as well as opening up opportunities to design new materials with higher critical temperatures. The limitations of this study lie in the complexity of the system being studied, which requires large computing resources. Further research can be focused on the development of more efficient simulation algorithms and the application of physical experiments to validate the simulation results.
Digital Philology and Manuscript Sustainability: A Semantic Annotation Model for Classical Arabic Texts Stanislaus, Surip; Abdallah, Mona
Journal of Humanities Research Sustainability Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jhrs.v2i3.2304

Abstract

Background. The sustainability of classical Arabic manuscripts is often confined to digitization efforts that focus solely on image preservation and limited text markup. These approaches do not fully address the semantic richness and epistemological structure inherent in Islamic intellectual heritage. Purpose. This study aims to develop a semantic annotation model tailored for classical Arabic texts to support digital philology and enrich manuscript sustainability through machine-readable and concept-linked interpretations. Method. Using a developmental qualitative research design, three classical manuscripts were annotated semantically using a custom-built model based on RDF and Islamic ontology. The model was evaluated by domain experts in philology and computational linguistics, focusing on four criteria: semantic accuracy, contextual relevance, interoperability, and usability. Results. The model achieved annotation accuracy above 91% across all manuscripts. Experts rated semantic precision (4.7/5) and contextual relevance (4.6/5) as its strongest aspects. The system successfully mapped technical terms and logical concepts within classical texts and linked them across manuscripts. A case study demonstrated the model’s effectiveness in identifying relationships between epistemological terms and enabling thematic exploration. Conclusion. This semantic annotation model advances digital philology by enabling structured, concept-based analysis of classical Arabic texts. It bridges computational methods with Islamic textual traditions and opens new pathways for collaborative, sustainable, and meaningful engagement with manuscript heritage.
Co-Authors Ahmed, Dina Fatsena, Rizka Adela Hossam, Ahmed Indrayani, Siska santoso, Ekbal Sayed, Yasser Stanislaus, Surip