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All Journal Journal of Computer Science Advancements Techno Agriculturae Studium of Research Journal of Midwifery History and Philosophy
Soneva Vong
National University of Laos
Agriculture, Biological Sciences & Forestry Computer Science & IT Nursing Public Health

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The Shift from Traditional Birth Attendants to Nurse-Midwives: A Post-Colonial Historical Review Kim Jong Il; Soneva Vong; Dilshan Perera
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.v1i2.3566

Abstract

Background. Maternal healthcare systems in many post-colonial societies have undergone profound transformations characterized by a transition from traditional birth attendants (TBAs) to professionally trained nurse-midwives. This shift is frequently framed as a linear process of modernization aimed at improving clinical outcomes. However, such narratives often obscure the historical dynamics of colonial governance, epistemic hierarchies, and socio-cultural restructuring that shape healthcare practices and authority. Purpose. This study aims to critically examine the transition from TBAs to nurse-midwives through a post-colonial historical lens, focusing on how authority, knowledge systems, and maternal care practices have been reconfigured within this process. Method. The study employs a qualitative historical review design, integrating the analysis of policy documents, archival records, and scholarly literature. Data are examined through thematic coding guided by post-colonial theoretical frameworks to capture patterns of power, marginalization, and knowledge transformation. Results. The findings reveal that the transition was neither uniform nor uncontested. While nurse-midwifery became increasingly institutionalized, indigenous knowledge systems embodied by TBAs were systematically marginalized. At the same time, evidence points to the emergence of hybrid healthcare models in which traditional and biomedical practices coexist, interact, and adapt within local contexts. Conclusion. The transformation of maternal healthcare in post-colonial settings cannot be understood as a linear trajectory of progress. Instead, it represents a complex negotiation of power, culture, and knowledge. These findings highlight the need for more inclusive and context-sensitive policy approaches that recognize the value of pluralistic healthcare systems in improving maternal care outcomes.
THE ROLE OF BLOCKCHAIN TECHNOLOGY IN FOOD SECURITY ASSURANCE IN SWEDEN Nayla Phanpheng; Soneva Vong; Manivone Keolavong
Techno Agriculturae Studium of Research Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v2i4.2000

Abstract

The study discusses the role of blockchain technology in ensuring food safety in Sweden, with a focus on improving supply chain traceability and transparency. The research aims to identify the extent to which blockchain can improve food safety as well as overcome adoption constraints across companies of various sizes. A qualitative descriptive approach was used, with data collected through interviews and analysis of case studies from food companies. The results show that blockchain is able to improve operational efficiency and regulatory compliance, especially in large enterprises, while small companies face cost constraints and access to technology. The conclusion of the study confirms that blockchain can be a strategic solution for better food security, with the implication that regulatory support and incentives are needed to expand the adoption of this technology in small and medium-sized enterprises.
A COMPARATIVE STUDY OF GPS-GUIDED TRACTOR AUTOSTEER VS. TRADITIONAL SEEDING TECHNOLOGIES ON MAIZE YIELD AND FUEL EFFICIENCY Manivone Keolavong; Soneva Vong; Soukchinda Phommavong
Techno Agriculturae Studium of Research Vol. 2 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/agriculturae.v2i5.2959

Abstract

This study compares the impact of GPS-guided tractor autosteer technology and traditional manual steering on maize yield and fuel efficiency. Precision agriculture technologies, such as GPS-guided autosteer, offer more accurate and efficient field operations, reducing overlaps and gaps in seeding, which are common in manual methods. However, there is limited empirical evidence on the agronomic and operational performance of these technologies in maize cultivation. The research was conducted on maize farms over one growing season, with two treatments: GPS-guided autosteer and traditional manual steering. Data on maize yield, fuel consumption, seeding accuracy, and operational time were collected and analyzed. The results showed that GPS-guided autosteer significantly improved seeding accuracy, reducing overlaps and leading to a 12% increase in maize yield compared to traditional methods. Additionally, fuel consumption was reduced by 18% due to more efficient coverage and reduced operational time. The autosteer system also demonstrated improved consistency in row spacing and plant population. This study concludes that GPS-guided autosteer technology offers both agronomic and economic advantages, increasing maize productivity, enhancing fuel efficiency, and promoting more sustainable, cost-effective farming practices.
COMPUTING AT THE EDGE: THE ROLE OF NEUROMORPHIC CHIPS IN INTELLIGENT ROBOTICS Manivone Keolavong; Soneva Vong; Thipphavone Phoutthavong
Journal of Computer Science Advancements Vol. 3 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v3i3.3331

Abstract

The deployment of autonomous mobile robots in resource-constrained environments is currently impeded by the excessive power consumption and latency bottlenecks of traditional Von Neumann architectures. This study investigates the efficacy of neuromorphic computing as a hardware solution for low-power, low-latency edge intelligence, specifically focusing on obstacle avoidance and navigational endurance. A quantitative comparative analysis was conducted benchmarking a Spiking Neural Network (SNN) based control architecture against standard embedded GPU solutions, utilizing event-based vision sensors to evaluate energy efficiency, inference latency, and task success rates. Empirical results demonstrate that the neuromorphic architecture achieved a twenty-fold reduction in power consumption (0.25 W) and sub-millisecond latency, significantly outperforming synchronous baselines while maintaining a 98.2% navigational success rate. The findings validate event-driven processing as a superior paradigm for edge robotics, offering a sustainable path toward "Green Robotics" with extended operational autonomy independent of cloud connectivity.
Co-Authors Dilshan Perera Kim Jong Il Manivone Keolavong Nayla Phanpheng Soukchinda Phommavong Thipphavone Phoutthavong