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Toward a Global Sharia-Compliant Regulatory Architecture: A Critical Reassessment of Islamic Economic Law in the Digital Age Osmanov, Fuad Fazil; Babazade, Zohr Isa; Mansurzada, Asma Elmar
Journal of Islamic Law and Legal Studies Vol 2 No 2 (2025): Journal of Islamic Law and Legal Studies
Publisher : Mabadi Iqtishad Al Islami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70063/jills.v2i2.118

Abstract

This study critically reassesses Islamic economic law in response to the accelerating digital transformation reshaping global financial ecosystems. Drawing on classical jurisprudential sources, international Sharia standards, and contemporary literature on Islamic fintech, the research employs a qualitative library-based methodology to evaluate how digital innovations—particularly AI, blockchain, digital assets, and Islamic fintech platforms—challenge existing regulatory structures across Muslim jurisdictions. The findings reveal substantial fragmentation in Sharia governance, inconsistencies in regulatory interpretation, and limited technical capacity, which collectively hinder the development of a cohesive global framework. The study argues that the integration of Maqasid al-Shariah offers a robust ethical and legal foundation for constructing a global Sharia-compliant regulatory architecture capable of addressing cybersecurity risks, algorithmic bias, consumer protection gaps, cross-border inconsistencies, and the complexities of emerging technologies. The analysis highlights the need for harmonized standards, AI ethics protocols, enhanced RegTech adoption, and dynamic regulatory sandboxes to balance innovation with Sharia compliance. Ultimately, the research proposes a forward-looking model that embeds Islamic ethical principles within contemporary digital governance, ensuring that Islamic finance remains resilient, transparent, and socially responsible in the digital age.
A Self-Supervised Multi-Scale Fusion Framework for Accurate and Efficient Image Segmentation Yusifova, Elmira Haci; Osmanov, Fuad Fazil; Azizov, Elman; Azizli, Kamran
TechComp Innovations: Journal of Computer Science and Technology Vol. 2 No. 2 (2025): TechComp Innovations: Journal of Computer Science and Technology
Publisher : Pusat Riset dan Inovasi Nasional Mabadi Iqtishad Al Islami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70063/techcompinnovations.v2i2.125

Abstract

This study conceptually examines a self-supervised multi-scale fusion framework designed to enhance accuracy and computational efficiency in medical image segmentation, a domain where data scarcity and annotation cost remain major challenges. Traditional supervised approaches are constrained by their reliance on extensive labeled datasets, limiting applicability in real-world clinical environments. Self-supervised learning (SSL) mitigates this issue by extracting supervisory signals directly from unlabeled data, enabling the model to learn rich feature representations without human annotation. Simultaneously, multi-scale fusion architectures integrate global contextual information with fine-grained local features, supporting robust segmentation across varying anatomical structures and image resolutions. Through a qualitative methodology involving library research and content analysis, this study synthesizes state-of-the-art SSL-driven segmentation techniques and highlights how adaptive multi-scale fusion mechanisms address limitations of existing convolutional and transformer-based architectures. The analysis indicates that combining SSL and multi-scale strategies leads to more generalizable, scalable, and computationally efficient segmentation pipelines suitable for diverse medical imaging modalities. The proposed framework represents a promising direction for developing next-generation diagnostic tools capable of handling sparse labels, complex textures, and real-time deployment constraints.
Equity-Driven Curriculum Design for Transforming Leadership in Multicultural School Systems Yusifli, Elay Elshad; Azizov, Elman; Osmanov, Fuad Fazil; Babayeva, Ayla Anar
Edu Spectrum: Journal of Multidimensional Education Vol. 2 No. 2 (2025): Edu Spectrum: Journal of Multidimensional Education
Publisher : Pusat Riset dan Inovasi Nasional Mabadi Iqtishad Al Islami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70063/eduspectrum.v2i2.130

Abstract

This study examines how equity-driven curriculum design can catalyze transformative leadership within multicultural school systems. As global classrooms become increasingly diverse, traditional curricula often fail to address disparities experienced by marginalized learners. Through qualitative library research and content analysis, this study synthesizes theoretical, empirical, and policy-oriented perspectives to explore how culturally responsive curricula promote inclusive learning ecosystems. The findings highlight that equity-driven curriculum design requires not only the integration of diverse cultural perspectives but also the dismantling of hidden power structures embedded in instructional practices. Transformative leadership emerges as a crucial driver, demanding cultural competence, collaborative decision-making, and critical pedagogical reflection from school leaders. The study emphasizes that effective equity implementation depends on teacher empowerment, distributed leadership models, and coherent policy frameworks that align curriculum, assessment, and institutional values. Moreover, technology-enhanced learning, accessibility principles, and Universal Design for Learning strengthen equity outcomes in increasingly digital environments. Overall, this research underscores the interconnectedness of curriculum, leadership, and policy in fostering democratic, socially just educational systems that affirm students’ cultural identities, reduce achievement gaps, and empower communities. The study concludes that achieving equity requires systemic transformation grounded in cultural responsiveness, shared accountability, and continuous professional development.