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All Journal Journal of Tecnologia Quantica Journal of Loomingulisus ja Innovatsioon Research of Scientia Naturalis
Omar Ahmad
University of Engineering and Technology (UET) Lahore
Religion Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Environmental Science Law, Crime, Criminology & Criminal Justice Physics Other

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Quantum Biology: The Interaction of Quantum Mechanics in Biological Systems Dorji Phuntsho; Pema Lhamo; Omar Ahmad
Journal of Tecnologia Quantica Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v2i2.1968

Abstract

Research Background: Quantum Biology is a branch of science that studies the interaction between quantum mechanics and biological systems. Some early studies have shown that quantum phenomena affect the efficiency of biological processes, but understanding of their applications is still limited. Research Objectives: This study aims to investigate how quantum mechanics plays a role in biological processes, especially in photosynthesis and magnetic navigation in migratory birds. Research Methods: This research uses laboratory experiments with an interdisciplinary approach, combining quantum physics and molecular biology techniques. The samples used included plant culture cells and migratory birds, as well as data analysis using mathematical modeling to describe quantum phenomena in biological systems. Research Results: The results show that quantum phenomena, such as coherence and entanglement, play a role in improving the efficiency of photosynthesis and the ability of birds to navigate based on the Earth's magnetic field. The study also identified a quantum mechanism that accelerates metabolic processes in cells. Research Conclusions: This study provides strong evidence that quantum mechanics can directly affect biological systems. These findings open up opportunities for the development of quantum-based biotechnology, as well as provide new insights into understanding more efficient and coordinated biological processes.
Analysis of Factors that Influence the Implementation of Technological Innovation in the Indonesian Public Sector Bilal Aslam; Usman Tariq; Omar Ahmad
Journal of Loomingulisus ja Innovatsioon Vol. 1 No. 6 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/innovatsioon.v1i6.1713

Abstract

The implementation of technological innovation in the public sector is a critical driver of efficiency, transparency, and service delivery in many countries, including Indonesia. Despite the increasing importance of technology in public administration, the adoption and effective implementation of technological innovations in the Indonesian public sector face various challenges, including organizational resistance, inadequate infrastructure, and limited digital skills. This study aims to analyze the factors that influence the successful implementation of technological innovations in Indonesian public institutions. Using a mixed-methods approach, the research integrates qualitative interviews with key public sector managers and quantitative surveys of public sector employees to identify the critical factors that facilitate or hinder the adoption of technology. The findings highlight that leadership commitment, organizational culture, availability of resources, and training programs are significant drivers of successful technological implementation. Conversely, barriers such as budget constraints, political factors, and a lack of technical expertise were found to limit the effectiveness of technological innovation. The study concludes that for successful technological innovation in the Indonesian public sector, it is crucial to focus on strengthening leadership, fostering a supportive organizational culture, and investing in infrastructure and training programs. These findings provide practical recommendations for policymakers and public sector managers in Indonesia.
The Effect of Counselor Training Programs on the Quality of Interventions in Schools Omar Ahmad; Maria Clara Reyes; Usman Tariq
Journal of Loomingulisus ja Innovatsioon Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/innovatsioon.v3i1.2364

Abstract

Entrepreneurial ecosystems have become critical drivers of the creative economy by fostering collaboration, innovation, and sustainable business models. In the context of the Global South, these ecosystems face structural challenges such as limited access to finance, infrastructure gaps, and unequal opportunities, yet they also present unique opportunities for inclusive growth. This study aims to examine how entrepreneurial ecosystems shape and influence the development of the creative economy in a Global South context, with a focus on the mechanisms that enable creative entrepreneurs to thrive despite these constraints. A qualitative case study design was employed, drawing on data collected from 45 semi-structured interviews with entrepreneurs, policy makers, and cultural actors, as well as document analysis and participant observation in three creative industry clusters. The findings reveal that local networks, informal mentoring, and culturally embedded innovation serve as the backbone of these ecosystems. Results highlight that while systemic limitations persist, adaptive strategies, collaborative practices, and policy interventions can strengthen ecosystem performance and contribute to creative sector resilience. This study concludes that fostering inclusive entrepreneurial ecosystems in the Global South has a transformative potential for advancing the creative economy and addressing socio-economic disparities.
Quantum Computing and Its Implications for Complex System Analysis Kiran Iqbal; Omar Ahmad; Arnes Yuli Vandika
Research of Scientia Naturalis Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v1i5.1579

Abstract

Quantum computing has emerged as a transformative technology capable of solving complex problems beyond the reach of classical computing. Its unique properties, such as superposition and entanglement, enable efficient processing of vast datasets, making it especially valuable for analyzing complex systems. This research aims to explore the implications of quantum computing for complex system analysis, particularly in fields such as physics, biology, and finance. The goal is to identify how quantum algorithms can enhance the understanding and modeling of intricate systems. A systematic literature review was conducted, examining recent advancements in quantum algorithms and their applications to complex system analysis. Comparative analyses were performed between classical and quantum computing approaches, focusing on specific case studies to illustrate the advantages of quantum solutions. The findings indicate that quantum computing significantly accelerates certain computations, leading to improved accuracy and efficiency in modeling complex systems. Case studies in quantum simulations of molecular interactions and financial modeling demonstrate substantial performance gains over classical methods. Quantum computing holds great promise for advancing the analysis of complex systems across various disciplines. Continued research and development in this area are essential to fully harness the capabilities of quantum technologies, ultimately leading to breakthroughs in understanding and solving complex problems.
Co-Authors Arnes Yuli Vandika Bilal Aslam Dorji Phuntsho Kiran Iqbal Maria Clara Reyes Pema Lhamo Usman Tariq