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All Journal Journal of Mathematical and Fundamental Sciences Engineering, Mathematics and Computer Science Journal (EMACS)
Syauqi Abdurrahman Abrori
Advanced Functional Materials Research Group, Institut Teknologi Bandung, Jl. Ganesha 10, Bandung 40132, Indonesia
Astronomy Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Engineering Industrial & Manufacturing Engineering Mathematics Physics

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Oxygen Reduction Reaction Mechanism on the Square Paddle-Wheel Cage Site of TM-BTC (TM=Mn, Fe, Cu) Metal-Organic Framework Ahmad Nuruddin; Adhitya Gandaryus Saputro; Syauqi Abdurrahman Abrori; Arifin Luthfi Maulana; Virgiawan Listanto Rahagung; Mohammad Kemal Agusta; Fadjar Fathurrahman; Amrina Mustaqim; Hermawan Kresno Dipojono
Journal of Mathematical and Fundamental Sciences Vol. 54 No. 2 (2022)
Publisher : Directorate for Research and Community Services (LPPM) ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.math.fund.sci.2022.54.2.2

Abstract

Our study examined the mechanism of oxygen reduction reactions (ORR) at the square paddle-wheel cage active site of TM-BTC metal-organic frameworks (MOFs), where TM is a transition metal, Mn, Fe, or Cu. We used a combination of density functional theory (DFT) and microkinetic calculations to investigate this mechanism. By using a small cluster for modeling the TM-BTC active site structure, we successfully reproduced the experimental trend of ORR activity in the TM-BTC systems: Mn-BTC > Fe-BTC > Cu-BTC. We also found that the unusual ORR activity trend in experiments for Mn and Fe systems originates from the strength of OH adsorption on these systems. The Mn-BTC system exhibits higher ORR activity than the Fe-BTC system due to its weaker adsorption of OH groups. A very strong OH adsorption makes the final OH reduction step sluggish, hence hindering the ORR process.
Wearable Sensors for Health Monitoring: Technologies, Applications, Challenges, and Future Perspectives Abrori, Syauqi Abdurrahman
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 7 No. 2 (2025): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v7i2.13765

Abstract

This article presents the state of the art and future outlook for wearable sensors for health monitoring, with emphasis on their roles in tracking physiological, biochemical, motion, and environmental parameters. Wearable sensors have moved beyond activity monitoring to facilitate clinical applications like chronic disease management, remote monitoring, and mental health evaluation. Four sensors are presented, with the sensing principle, formats, and actual-world application. System architectural elements like data acquisition, wireless communication, on-device and cloud processing, and user interface are addressed. The latest advancements like multi-modal sensor fusion, self-sustaining platforms, integration of machine learning, and skin-conformable electronics are also outlined. Wearable technology holds promise and is plagued with accuracy, battery life, privacy of data, and compatibility with health information systems. These hindrances need to be overcome if broader clinical integration and global accessibility are to take place. Avenues for development include energy-autonomous sensors, personalized feedback systems, and digital twin integration, which have promising potential for making early intervention, preventive care, and decentralized healthcare delivery possible. This overview provides a general background to researchers, developers, and clinicians striving for the next generation of digital health solutions.
Co-Authors Adhitya Gandaryus Saputro Ahmad Nuruddin Amrina Mustaqim Arifin Luthfi Maulana Fadjar Fathurrahman Hermawan Kresno Dipojono Mohammad Kemal Agusta Virgiawan Listanto Rahagung