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All Journal Al-Hijr: Journal of Adulearn World Research of Scientia Naturalis
Jihoon, Park
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Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Education Languange, Linguistic, Communication & Media Physics Other

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Nanostructured Materials for Efficient Catalysis in Chemical Reactions Jihoon, Park; Sin, Ri Hwa; Chuluunbaatar, Erdenetsetseg
Research of Scientia Naturalis Vol. 2 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i3.2013

Abstract

The quest for more efficient catalytic materials has intensified due to the growing demand for sustainable chemical processes. Nanostructured materials have emerged as promising candidates, offering enhanced surface area and reactivity, which can significantly improve catalytic performance. This study aims to investigate the role of nanostructured materials in catalysis, focusing on their synthesis, characterization, and application in various chemical reactions. The goal is to identify the optimal conditions for maximizing catalytic efficiency. A series of nanostructured catalysts were synthesized using sol-gel and hydrothermal methods. Characterization techniques, including scanning electron microscopy (SEM), transmission electron microscopy (TEM), and X-ray diffraction (XRD), were employed to analyze the structural and morphological properties of the materials. Catalytic performance was evaluated through various model reactions, such as hydrogenation and oxidation. The findings revealed that nanostructured materials exhibited significantly higher catalytic activity compared to their bulk counterparts. Specific catalysts demonstrated up to a 70% increase in reaction rates, attributed to their enhanced surface area and active sites. The study also identified optimal synthesis parameters that further improved catalytic performance. This research highlights the potential of nanostructured materials to revolutionize catalysis in chemical reactions. By optimizing synthesis methods and understanding the relationship between structure and activity, it is possible to develop more efficient catalysts for sustainable chemical processes.
CHATGPT AND VIRTUAL TEACHING ASSISTANTS: ENHANCING TEACHER-STUDENT INTERACTIONS IN THE DIGITAL CLASSROOM Rustiyana, Rustiyana; Jihoon, Park; Thomsen, Charlotte
Al-Hijr: Journal of Adulearn World Vol. 5 No. 1 (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.v5i1.1213

Abstract

The rapid adoption of digital technologies in education has prompted the exploration of innovative tools to enhance teacher-student interactions in virtual classrooms. Among these tools, AI-powered virtual teaching assistants, such as ChatGPT, have emerged as promising solutions to address challenges related to engagement, feedback, and personalized learning. However, despite their growing presence, the specific role of ChatGPT in improving interactions within digital classrooms remains underexplored. This study aims to investigate the impact of ChatGPT on teacher-student interactions, focusing on its ability to enhance engagement, provide personalized feedback, and support administrative tasks. A mixed-methods approach was employed, combining surveys, interviews, and usage logs from 30 teachers and 150 students across high school and university settings. The results indicate a significant improvement in engagement and feedback quality, with both teachers and students reporting increased satisfaction and interaction efficiency. Additionally, ChatGPT’s role in managing routine administrative tasks was found to alleviate teacher workload. The study concludes that ChatGPT can effectively complement traditional teaching methods by facilitating more interactive, personalized, and efficient learning experiences in digital classrooms. Future research should explore the long-term effects of AI tools on education and address ethical considerations such as data privacy and algorithmic bias.
PLANT–SOIL–MICROBE INTERACTIONS REVISITED: MECHANISTIC INSIGHTS FROM BIOMOLECULAR AND ECOLOGICAL INTEGRATION Jihoon, Park; Siregar, Adelina; Tanaka, Kaito; Davis, Michael
Research of Scientia Naturalis Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v3i1.3468

Abstract

Plant–soil–microbe interactions underpin nutrient cycling, ecosystem productivity, and resilience under environmental change. Despite advances in rhizosphere ecology and molecular biology, integration between biomolecular processes and ecosystem-level dynamics remains fragmented. This study aims to develop and empirically validate a mechanistic framework linking gene expression, metabolite exchange, microbial functional traits, and ecological outcomes across controlled and field contexts. A multi-scale design combined greenhouse factorial experiments with field validation, integrating metagenomics, metatranscriptomics, metabolomics, soil nutrient assays, and ecological network modeling. Structural equation modeling and multivariate analyses were applied to identify causal pathways among root exudation, microbial functional gene abundance, nutrient availability, and plant biomass. Results demonstrate that functional gene abundance (? = 0.46, p < 0.001) and root metabolite diversity (? = 0.39, p < 0.01) significantly predict plant productivity, while network analysis identifies organic acids and nitrogen-fixing taxa as keystone interaction nodes. Drought treatments induced coordinated upregulation of stress-response genes and metabolite adjustments, partially buffering productivity losses. The study concludes that rhizosphere resilience emerges from tightly coupled biomolecular and ecological feedback mechanisms. Integrative multi-omics combined with ecological modeling enhances predictive understanding of ecosystem function under environmental variability.
Co-Authors Chuluunbaatar, Erdenetsetseg Davis, Michael Rustiyana, Rustiyana Sin, Ri Hwa Siregar, Adelina Tanaka, Kaito Thomsen, Charlotte