The History of Vietnamese Feminism: Huỳnh Thị Bảo Hòa, an Early Twentieth-Century Feminist

This article examines the contributions of Huỳnh Thị Bảo Hòa to the history of Vietnamese feminism. She was among the earliest female intellectuals to advocate for and defend the roles and positions of women within the family and society. To conduct this study, we closely analyzed her articles published in Đông Pháp thời báo between 1926 and 1927, particularly those concerning women and family life, domesticity, women’s education, and professional careers. Her contributions to the Vietnamese feminist movement in the early twentieth century are undeniable. This study aims to open further avenues for research on Vietnamese feminism in the early twentieth century.

Sulfuric Acid Regeneration from Magnesium Sulfate Streams: Process Chemistry, Recovery Technologies, and Industrial Challenges

Sulfuric acid regeneration from magnesium sulfate streams is an increasingly relevant challenge in hydrometallurgy, mineral processing, battery recycling, pickling operations, and industrial wastewater treatment. Magnesium sulfate is often formed when sulfuric acid reacts with magnesium-bearing minerals, neutralizing agents, or process residues, resulting in acid loss, sulfate accumulation, increased effluent volumes, and challenging brine management. This critical review examines the process chemistry, recovery technologies, and industrial constraints associated with converting magnesium sulfate streams into reusable sulfuric acid or valuable by-products. The discussion covers thermal decomposition, crystallization, membrane-based acid recovery, electrodialysis, diffusion dialysis, solvent-assisted separation, precipitation routes, and hybrid process configurations. Particular attention is given to reaction equilibria, water balance, impurity behavior, energy demand, scaling risk, acid quality, and integration with upstream and downstream unit operations. Although several technologies are technically feasible, industrial application is limited by high energy consumption, low selectivity in multicomponent liquors, fouling, corrosion, and uncertain economics at large scale. The review highlights that magnesium sulfate regeneration should be evaluated as a process-integration problem rather than as an isolated acid-recovery step.

Request-Aware Fuzzy Load Balancing for Heterogeneous Computing Systems

In modern heterogeneous computing systems, efficient load balancing remains one of the key challenges affecting system performance, response time, and resource utilization. Traditional load balancing algorithms such as Round Robin and Least Connection generally distribute requests without considering the computational complexity and priority of incoming tasks, which may lead to resource imbalance and performance degradation under dynamic workloads. To address this limitation, this study proposes a Request-Aware Fuzzy Load Balancing (RA-FLB) model based on a Mamdani-type Fuzzy Inference System (FIS). The proposed approach evaluates both request characteristics, including URL structure, payload size, header information, and computational weight, together with the real-time state of virtual machines such as CPU utilization and workload level. Based on fuzzy inference rules, the system dynamically selects the most appropriate server for each incoming request. In addition, a dynamic feedback mechanism continuously updates server states after task execution, enabling adaptive and real-time decision-making. The proposed model was implemented and evaluated in the CloudSim Plus simulation environment. Experimental results demonstrate that the RA-FLB approach improves response time, throughput, and load distribution efficiency compared with conventional algorithms. The proposed method provides a scalable and adaptive solution for intelligent resource allocation in cloud and distributed computing environments.

The Effect of Effective Tax Rate, Moral Hazard, and Firm-Specific Determinants on Capital Structure

This research aims to examine the effectiveness of Effective Tax Rate, Firm Size, Profitability, Non-Debt Tax Shield, and Moral Hazard toward Capital Structure in oil, gas, and coal subsector firms listed on the Indonesian Stock Exchange during the period 2016-2024. The study employs a quantitative research design using panel data regression analysis. The Fixed Effect Model is selected based on panel data model selection tests and analyzed using EViews 12. The empirical findings reveal that only Profitability has a statistically significant negative effect on Capital Structure. Meanwhile, Effective Tax Rate, Firm Size, Non-Debt Tax Shields, and Moral Hazard do not exhibit statistically significant effects. These results suggest that internal financing capacity plays a more dominant role than tax incentives, firm scale, alternative tax shields, or agency-related considerations in determining capital structure decisions within the observed subsector. These research findings suggest that the effect of internal financing capacity dominates the effect of tax and agency-related considerations in determining Capital Structure within the Indonesian energy subsector. This study is limited by its sector-specific focus and restricted observation period.

Prevalence and Factors Associated with Birth Asyphyxia among Neonates Admitted at Amana Regional Referral Hospital in Dar ES Salaam, Tanzania – October 2025

Birth asphyxia is the failure to establish and sustain spontaneous breathing at birth, hence leading to decreased oxygen perfusion to various organs. Birth asphyxia is among the leading causes to neonatal mortality and morbidity in Tanzania, our study aimed to determine prevalence and associated factors of birth asphyxia among neonates at Amana Regional Referral Hospital. A cross-sectional study was conducted, enrolling neonates admitted at neonatal ward in ARRH. Data was collected through structured questionnaires given to mothers of neonates admitted, also antenatal cards and case files were used to obtain Apgar scores and additional information. Of all neonates admitted during study period, 303 neonates were included in the study where by, 10 newborns (3.3%) had birth asphyxia, and prolonged labor, hospital delivered neonates and age of the mother 20-34 were significant factors associated with birth asphyxia.

Birth asphyxia is still a public health concern in Tanzania and its aftereffects are irreversible so early and regular antenatal booking, proper management of labor and improvement of maternal and child health services can reduce the burden also, awareness of pregnancy demands can help mothers handle pregnancy with care hence avoiding risk factors and complicated labor and delivery.

The Use of Digital Storytelling to Improve Speaking Skills for Students at Ba Ria – Vung Tau College of Technology

The article aims to investigate how digital storytelling can motivate students to learn English speaking with greater interest and active participation. It also explores the influence of digitised learning environments on traditional teaching practices, highlighting changes in the way of language teaching and learning. Quantitative data was collected through self-assessment surveys and structured questionnaires, and qualitative data was collected through semi-structured interviews. The selected students of 60 were then evenly assigned into two groups of the control group (n = 30) and the experimental group (n = 30). The findings from quantitative data indicate that students exposed to digital storytelling achieved significantly better speaking skills than those taught with traditional methods. Students also had greater motivation when learning speaking skills with digital storytelling. Besides, digital storytelling made teachers change their traditional teaching method. In addition, the findings from qualitative data revealed that both teachers and students have positive attitude with the use of digital storytelling. These results suggest that digital storytelling can play a vital role in enhancing speaking proficiency by integrating technology into English language teaching and learning.

Request-Aware Fuzzy Load Balancing for Human Action Recognition and Monitoring in Video Streams

real-time human action recognition and behavior monitoring within video streams impose significant computational strains on backend server infrastructures. Traditional distributed system load balancers assign dynamic incoming media tasks based exclusively on infrastructure-side metrics like CPU utilization or memory bandwidth, completely omitting request-specific computational requirements. This mismatch results in suboptimal task allocation, frame drops, and execution latencies when multi-scale convolutional operations or dense optical flow models are triggered unpredictably. To resolve this bottleneck, this paper introduces a novel Request-Aware Fuzzy Load Balancing (RAFLB) framework. The proposed paradigm establishes an adaptive, two-phase scheduling ecosystem. First, high-throughput video streams are frame-decomposed and pre-processed using spatial-temporal filtering kernels and Lucas-Kanade optical flow equations to extract intrinsic stream metadata (resolution, frame rate, structural intensity). Second, a multi-input Mamdani Fuzzy Inference Engine computes real-time routing priorities by simultaneously processing the localized Request Weight (RQ) alongside Server Busy (SB) telemetry. Experimental simulations show that RAFLB drastically reduces structural frames latency by up to 34% and prevents cluster choke points compared to conventional round-robin and resource-only load balancers.

Agribusiness Challenges and the Impact of Contract Farming on Market Access among Small-scale Bean Farmers in Pabna District, Bangladesh

This study explores agribusiness challenges and examines the impact of contract farming on market access among small-scale bean farmers in Pabna District, Bangladesh. The study aimed to understand farmers’ experiences regarding production constraints, institutional relationships, market participation, and livelihood conditions within contract farming arrangements. A qualitative case study approach was employed to obtain in-depth insights from farmers and relevant stakeholders. Data were collected through in-depth interviews, focus group discussions, key informant interviews, observation, and documentation involving contract farmers, non-contract farmers, agricultural extension officers, and agribusiness representatives. The collected data were analyzed using thematic analysis supported by NVivo software. The findings reveal that small-scale bean farmers face several agribusiness challenges, including price instability, high input costs, weak bargaining power, limited access to formal markets, and dependence on intermediaries. Participation in contract farming was found to improve market access through stable buyer linkages, technical assistance, input support, and greater price certainty. However, farmers also experienced challenges such as delayed payments, unequal bargaining relationships, limited transparency in contractual agreements, and dependence on contracting firms. The study concludes that contract farming has the potential to strengthen market integration and improve farmers’ livelihoods when supported by transparent agreements, institutional coordination, and fair governance mechanisms. The findings provide practical implications for policymakers, agribusiness firms, and rural development practitioners in promoting inclusive and sustainable agribusiness systems in Bangladesh.

Financial Insecurity and Psychological Stress among Medical Students at Saint James School of Medicine: A Cross-Sectional Study

Background: Financial insecurity is a growing concern among medical students and has been increasingly linked to adverse psychological outcomes. Students enrolled in international medical schools may be particularly vulnerable due to limited access to federal financial aid and increased reliance on private funding sources.

Objective: This study aimed to examine the relationship between financial insecurity and perceived psychological stress among medical students at Saint James School of Medicine (SJSM).

Methods: A cross-sectional survey was conducted among 84 SJSM medical students using an online questionnaire. Financial insecurity was measured using a custom financial insecurity scale, and psychological stress was assessed using the validated Perceived Stress Scale (PSS-10). Descriptive statistics, correlation analysis, and subgroup comparisons were performed.

Results: The mean PSS-10 score was 22.0 (SD = 7.98), indicating moderate to high stress levels. Overall, 82% of participants reported moderate or high perceived stress. A statistically significant positive correlation was found between financial insecurity scores and PSS-10 scores (r = 0.600, p < 0.001), demonstrating that greater financial insecurity was associated with higher psychological stress. Most students reported substantial financial strain, with 72.6% expressing concern about tuition affordability and 66.7% reporting that their educational debt felt overwhelming. Female students reported higher mean stress scores (23.8) compared to male students (18.2). Stress negatively affected academic functioning, with 65.5% reporting difficulty concentrating while studying, and more than one-third indicating that financial worries negatively impacted class attendance.

Conclusion: Financial insecurity was strongly associated with elevated perceived stress among SJSM medical students. These findings highlight the need for targeted institutional interventions, including expanded financial support systems, improved loan access, and integrated mental health resources to mitigate the academic and psychological impact of financial stress in international medical education settings.