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All Journal Al-Hijr: Journal of Adulearn World Journal of Tecnologia Quantica
Zulu, Nomsa
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Computer Science & IT Education Languange, Linguistic, Communication & Media Physics Other

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Quantum Sensing of Weak Magnetic Fields using Diamond NV Centers in Biological Environments Vann, Rithy; Raza, Amir; Zulu, Nomsa
Journal of Tecnologia Quantica Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/quantica.v3i1.3581

Abstract

Quantum sensing using nitrogen-vacancy (NV) centers in diamond has emerged as a powerful approach for detecting extremely weak magnetic fields with high spatial resolution and ambient operational conditions. Despite their proven sensitivity in controlled environments, the performance of NV-based sensors in biological systems remains challenged by decoherence, optical scattering, and environmental noise. This study aims to investigate the capability of diamond NV centers to detect weak magnetic fields in biologically relevant environments and to evaluate the factors influencing their performance. An experimental–computational approach was employed, combining optical detection of magnetic resonance (ODMR) measurements with simulations of spin dynamics under varying environmental conditions. Nanodiamond samples were tested across buffer solutions, cell culture media, and tissue-like environments. The results indicate that NV centers retain the ability to detect weak magnetic fields in biological settings, although sensitivity decreases due to reduced coherence time and optical contrast. Surface functionalization improves stability and partially mitigates environmental effects, enhancing overall sensor performance. These findings suggest that NV-based quantum sensors offer a promising platform for non-invasive biological magnetometry, provided that material engineering and noise mitigation strategies are optimized. This study concludes that integrating quantum sensing with biological systems is feasible and can advance applications in biomedical diagnostics and cellular imaging..
THE FUTURE OF FORMATIVE ASSESSMENT: LEVERAGING AI FOR CONTINUOUS LEARNING EVALUATION Nusi, Nurul Lutfiah; Zulu, Nomsa; Damopolii, Mujahid
Al-Hijr: Journal of Adulearn World Vol. 5 No. 2 (2026)
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/alhijr.v5i2.1270

Abstract

The integration of Artificial Intelligence (AI) in education has the potential to revolutionize formative assessment practices by offering real-time, personalized feedback. Formative assessment, traditionally seen as an ongoing process to monitor student progress, faces challenges such as scalability and timely feedback. AI-powered systems can provide instant insights into student performance, facilitating continuous learning evaluation. This research aims to explore how AI can enhance formative assessment by providing continuous and individualized evaluation of students’ progress. A mixed-methods approach was employed, using surveys, interviews, and classroom observations across five schools that have implemented AI-based learning platforms. The results revealed that AI-driven formative assessments significantly improved student engagement and performance, with 80% of teachers reporting more efficient monitoring and intervention strategies. However, concerns about the depersonalization of feedback and the risk of over-reliance on AI were noted, suggesting the need for a balance between technological tools and human interaction. The study concludes that AI has the potential to transform formative assessment practices but requires careful integration into teaching methods to ensure it complements rather than replaces teacher-student interactions.
Co-Authors Mujahid Damopolii Nusi, Nurul Lutfiah Raza, Amir Vann, Rithy