Nguyen Minh Tu
Hanoi University of Science and Technology

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Beyond the Statistics: A Biographical Study of Martha Ballard and the Diary of an 18th Century Midwife Kim Minho; Nguyen Minh Tu; Shakib Ahmed
Journal of Midwifery History and Philosophy Vol. 2 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jmhp.v1i2.3565

Abstract

Background. Historical studies of childbirth have largely relied on aggregate statistics and institutional archives, resulting in the marginalization of experiential knowledge and everyday practices of community-based midwives. Such approaches risk reducing complex care systems into depersonalized data, thereby overlooking how knowledge, authority, and maternal agency were constructed in practice. The diary of Martha Ballard offers a rare microhistorical account that captures the lived realities of maternal care in the eighteenth century. Purpose. This study aims to examine how Ballard’s diary reflects patterns of midwifery practice, forms of maternal agency, and modes of knowledge production that challenge dominant institutional and statistical narratives of pre-modern medicine. Method. This study employs a qualitative biographical research design, integrating microhistorical analysis with thematic coding of selected diary entries. Supporting historical sources are used to contextualize findings and enhance interpretive validity. Results. The findings reveal that Ballard’s midwifery practice functioned as a structured and adaptive system of care grounded in experiential knowledge, relational trust, and sustained community engagement. Evidence indicates that midwifery operated effectively despite the absence of formal institutional frameworks. Furthermore, the diary demonstrates that midwives acted not only as healthcare providers but also as producers of knowledge and holders of social authority within their communities. Conclusion. This study highlights the importance of incorporating narrative-based and experiential evidence into historical analysis. It argues that personal documents such as Ballard’s diary provide critical insights into alternative healthcare epistemologies, enabling a more comprehensive understanding of maternal care beyond institutional perspectives.
Critical Review of the Meaning of the Concept of Love Wahyu Trisno Aji; Luis Santos; Nguyen Minh Tu
International Journal of Educatio Elementaria and Psychologia Vol. 1 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/ijeep.v1i5.1259

Abstract

The purpose of this research is to explain how the concept of love is interpreted, love is a mystery that is always hot to discuss, and even love has existed since the first humans, namely Adam and Eve. This type of research uses descriptive qualitative, using a library research approach with documentation data collection techniques. The research results obtained are: 1) Understanding love is not only about having feelings or fighting for them, but also about having emotional readiness to face negative consequences, such as heartbreak. Practicing self-defense in love, such as through self-dichotomy and an antifanatic attitude towards falling in love, can help a person face love more calmly and wisely. 2) True love certainly exists, at least he understands self-maturation and is aware of the importance of understanding love. When they grow and develop into people full of art. That's when they understand love as eros, agape and selfssness. Love can be studied, understood, worked for and fought for even though it is without reason and full of sacrifice.
The Application of Artificial Intelligence in Quantum Mechanics: Challenges and Opportunities Nguyen Minh Tu; Tran Thi Lan; 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.v1i6.1583

Abstract

The intersection of artificial intelligence (AI) and quantum mechanics represents a frontier of scientific exploration, offering the potential to revolutionize our understanding of quantum systems. Despite the promise, significant challenges remain in effectively integrating AI techniques within quantum mechanics frameworks. This study aims to investigate the applications of AI in quantum mechanics, identifying both the challenges and opportunities presented by this interdisciplinary approach. The focus is on understanding how AI can enhance quantum simulations, optimize computations, and improve experimental designs. A comprehensive literature review was conducted, analyzing recent advancements in AI algorithms applied to quantum mechanics. Case studies were examined to illustrate successful implementations and the limitations encountered. Key metrics for evaluation included computational efficiency, accuracy, and scalability. Findings indicate that AI techniques, particularly machine learning and neural networks, can significantly expedite quantum simulations and enhance predictive accuracy. However, challenges such as data sparsity, interpretability of AI models, and the integration of AI with quantum algorithms were identified as significant barriers to progress. This research highlights the transformative potential of AI in advancing quantum mechanics while acknowledging the inherent challenges. Addressing these challenges will require collaborative efforts across disciplines, paving the way for innovative solutions that leverage AI to deepen our understanding of quantum phenomena and improve technological applications.
DEVELOPMENT OF A MYCOHERBICIDE FOR THE BIOLOGICAL CONTROL OF THE INVASIVE WEED “MIKANIA MICRANTHA” IN INDONESIAN NATIONAL PARKS. Nguyen Minh Tu; Josefa Flores; Hans Peters
Research of Scientia Naturalis Vol. 2 No. 6 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/scientia.v2i6.2922

Abstract

Mikania micrantha, an invasive weed, poses significant ecological threats in Indonesian national parks, outcompeting native vegetation and disrupting ecosystems. Traditional control methods, such as chemical herbicides, have proven inefficient and harmful to surrounding biodiversity. This study aimed to develop a fungal-based mycoherbicide to provide a sustainable, environmentally friendly solution for controlling Mikania micrantha. The research isolated and tested indigenous fungal strains for their mycoherbicidal properties against Mikania micrantha in two national parks: Bukit Barisan Selatan and Gunung Leuser. Field trials were conducted to assess the efficacy of the selected fungal strain on weed density and biomass reduction. The results demonstrated that the mycoherbicide significantly reduced Mikania micrantha density (54%) and biomass (60%) in treated quadrats compared to untreated controls. The treatment was more effective in wetter conditions, where fungal spore germination and plant infection were enhanced. These findings suggest that mycoherbicides can effectively control Mikania micrantha while minimizing the environmental impact of traditional herbicides. This study highlights the potential for fungal-based biocontrol methods as a viable tool in invasive species management. Further research is needed to evaluate the long-term effects and scalability of this mycoherbicide for broader applications in tropical ecosystems.