Authors - Khumbelo Difference Muthavhine, Mbuyu Sumbwanyambe Abstract - The financial management involves outstanding debts, trade receivables, deduction charges, economic value, generating capacity, and stockpiling accumulation. These six variables mentioned above must be carefully examined using mathematical formulas and trustworthy tools because they are interrelated, which makes it very difficult to establish a solution. These challenges affect companies of all sizes, requiring a flexible tool for adaptable financial management analysis. To mitigate the aforementioned problems, this study suggested system dynamic (SD) modeling to handle the problem instead of using traditional tools. The SD modeling is used because of (a) complex dependencies analysis, (b) the need for mathematical formulas, and (c) the graphical outputs compared to traditional tools. The study constructed an SD model with six variables and their interconnections. When adjustments are required, financial managers should pay particular attention to the out-of-graph data.
Authors - Mariusz Szynkiewicz Abstract - The protection of information resources is one of the central issues in contemporary information science, and one also significant from an IT perspective – particularly in the context of cybersecurity. In this article, I propose one possible approach to addressing this challenge. The proposal concerns the protection of information resources in a broad sense: from the stage of information acquisition and creation through to its distribution. In the following sections, I outline the main assumptions of a comprehensive model for the protection of information resources, discussed in the context of building the information resilience of participants in digitised information exchange processes, and in relation to issues associated with the concept of cyber hygiene. The central thesis of the article rests on the assumption that effective protection of information resources is possible only on the basis of an integrated model addressing the following procedures: (a) validation – the assessment of the level and value of a given resource; (b) threat identification – the logical level, scale, and types of vulnerability; (c) detailed analysis of the type of abuse – qualitative diagnosis; (d) selection of techniques and methods for counteracting a given class of attack – the methodological level; and (e) selection of possible corrective and preventive measures – the elements of cyber hygiene.
Authors - S. Jimenez-Garcia, V. Zorrilla-Munoz, G. Martinez-Navarrete, N. Garcia-Aracil, A.M. Peiro-Peiro Abstract - This paper presents an integrated framework that combines digital screening, ergonomic assessment, humanoid robot benchmarking and immersive virtual reality (VR) training to support the prevention of musculoskeletal disorders and burnout in nursing professionals. The framework is grounded in occupational health data from Spanish nursing professionals and incorporates sex/gender and anthropometric differences as design variables. A descriptive cross-sectional analysis was performed on 316 professionals from the European Health Survey in Spain, filtered by occupation, and complemented with the PROBEREN project approach. Two high-demand activities in Internal Medicine and Infectious Diseases units were selected: hygiene, comfort care, pressure ulcer prevention and postural changes in bedridden patients; and intrahospital transfers under isolation or clinical support. The sample showed a strong proportion of women (86.4%), mean age of 45.97 years, chronic health problems in 54.7%, prescribed medication use in 51.9%, recent physical pain in 46.8% and pain interfering with daily activities in 31.6%. These findings support a transition from descriptive profiling to proactive prevention. The proposed ecosystem links early screening, capture of expert movements, biomechanical comparison with a humanoid robot, personalized VR training and longitudinal reassessment. Future pilot validation should evaluate usability, VR-related fatigue, ergonomic risk reduction, burnout, pain and implementation barriers in real clinical settings.
Authors - Aleksander Karastoyanov Abstract - Reinforcement learning (RL) has been widely proposed for adaptive virtual machine (VM) right-sizing in cloud environments, yet most published work reports results from a single random seed with a fixed reward formulation, conditions that may not reflect genuine generalization. This paper addresses both limitations through a systematic multi-seed, multi-reward evaluation of a Proximal Policy Optimization (PPO) agent applied to VM right-sizing on the Alibaba Cluster Trace 2018. Fifteen independent training runs (three reward configurations × five seeds) are conducted on a ten-VM simulation environment. The key finding is that reward formulation, not the RL algorithm per se, is the dominant determinant of SLA compliance: the unified reward variant (Config A) achieves a mean SLA violation rate of 1.1% (±2.11) across five seeds, statistically comparable to a Threshold baseline (2.43%), while dimension-aware variants expose a critical instability in memory-saturated environments. A one-sample t-test yields t = −1.40, p = 0.23, confirming that neither superiority nor inferiority relative to Threshold can be claimed, and motivating the need for larger seed sets and alternative reward designs in future work. Three empirically grounded reward design principles are derived for practitioners deploying RL-based resource managers in high-memory-pressure infrastructure.
Authors - Soham Paithankar, Supriya Narad Abstract - Agriculture is a major contributor to India economy and supports the livelihood of a large population, however, traditional farming practices largely depend on manual observation, weather information, which often results in resource utilization and reduced crop productivity. The increasing variability of climate condition further challenges. The integration of internet of things (IoT) and software technologies provides an effective approach and data-driven decision by enabling real-time monitoring and data-driven decision making. This paper presents such as temperature, humidity, and soil moisture using field sensor data. The collected information is processed and stored using Python based software and compared with real-time weather information obtained through a weather API. A dashboard interface developed using Flask and streamlit visually presents sensor data, weather data, and comparative result to support informed decision-making system. The system demonstrates how low-cost IoT devices combine with software platform can improve agriculture monitoring, optimize resource usage, and support sustainable farming practice, this study highlights the potential of IoT and software integration in transforming the potential of IoT. agriculture into an intelligent data-driven system suitable for developing region such as India.
Authors - Emmanuel Opoku Debrah, Sunet Eybers, Corne J. van Staden Abstract - Student Information and Management Systems (SIMS) are increasingly being implemented in higher education institutions (HEIs) in developing countries. However, with these mandatory systems, there is limited evidence of user satisfaction. This systematic literature review investigates the influence of technological, organizational, and environmental (TOE) factors on user satisfaction with the use of mandatory SIMS in HEIs in developing countries, with a focus on Ghana. A search was conducted across six databases and Google Scholar, focusing on the past decade (2015-2025). Two reviewers independently evaluated the studies' quality using the Mixed Methods Appraisal Tool (MMAT 2018). The average consensus MMAT score was 4.08/5 (7 High, 14 Moderate, 5 Lower quality). A total of 1,382 records were screened and considered for duplicates and applicability. The result was 27 empirical studies. A narrative synthesis supported by thematic mapping identified the most frequently reported determinants: system quality, reliability, and performance (n=18); organizational support, IT capacity, and management readiness (n=12); perceived usefulness, ease of use, and user experience (n=10); ICT infrastructure and connectivity (n=9); and information quality (n=6). The synthesis suggests that TOE factors are not independent: technological advantages can be offset by organizational weaknesses, and environmental factors set an upper limit to satisfaction. This suggests that Ghanaian HEIs focus on integrated investments in user training, technical support, and infrastructure rather than just system upgrades.
