Download Complete Issue
This issue features 16 research papers contributing novel approaches across diverse domains: smart farming system for sustainable agriculture in Senegal, wearable technology for analyzing sleep patterns, machine learning resume screening, enhanced IoT security framework, emotion analysis framework for facial expressions, pervious concrete for urban drainage in South Africa, hybrid deep learning model for network anomaly detection, historical perspective on machine translation evolution for low-resource languages, augmented reality for railroad maintenance training, culturally-tailored mobile app for Native American diabetes management, smart agent architecture for direct load control, Diffuse Kalman Filter for autonomous vehicle state estimation, stability assessment of explainable AI algorithms, evaluation of Macaca fascicularis heart rate data for privacy methodologies, automated GSM signal strength and meteorological measurement device, and mathematical model for five-phase permanent magnet generator in wind turbines.
Editorial
Front Cover
Adv. Sci. Technol. Eng. Syst. J. 10(1), (2025);
Editorial Board
Adv. Sci. Technol. Eng. Syst. J. 10(1), (2025);
Editorial
Adv. Sci. Technol. Eng. Syst. J. 10(1), (2025);
Table of Contents
Adv. Sci. Technol. Eng. Syst. J. 10(1), (2025);
Articles
Lightning Detection System for Wind Turbines Using a Large-Diameter Rogowski Coil
Sarawuth Pramualsingha, Kazuo Yamamoto, RikutoTanaka
Adv. Sci. Technol. Eng. Syst. J. 10(1), 1-6 (2025);
View Description
A lightning detection system based on a large-diameter Rogowski coil and an analog integrator was developed for wind turbine applications and is presented in this paper. To accurately detect lightning current, the Rogowski coil was designed with a lower cutoff frequency of 0.1 Hz. The analog integrator, comprising an inverting active integrator, and an amplifier, was used to restore the original waveform of the lightning current. Tests were conducted to verify the bandwidth of the system using alternating current, damped sinusoidal current, and a rectangular pulse. The system demonstrated a bandwidth of 0.1 Hz to 100 kHz, which is within the standard acceptable range. This lightning detection system offers a significantly lower cost compared to commercial alternatives, making it highly suitable for practical applications.
Evaluation of physicochemical stability in extemporaneous omeprazole-based preparations
Ezri Cruz-Pérez 1, 2, José Locia-Espinoza 1, 2, Joel Jahaziel Díaz-Vallejo 1, 2, 3, Magda Olivia Pérez-Vásquez 1, 2, Luis Morales de la Vega 1, Luz Irene Pascual-Mathey 1,2
Adv. Sci. Technol. Eng. Syst. J. 10(1), 7-12 (2025);
View Description
Extemporaneous omeprazole-based preparations are commonly used in hospitals; however, there are no validated studies about physicochemical stability. This study aimed to determine if temperature, luminosity, and the type of diluent affect the stability of omeprazole in the extemporaneous preparation. For stability, the methodology validated previously by our group was used. The 2k experimental design included Temperature (25ºC and 35ºC) and Luminosity (covered by light and 400 Lx) variables. Diluents were evaluated at five levels: 1) Citric acid + polyethylene glycol solution, 2) Polyethylene glycol solution, 3) Physiological saline solution, 4) Citric acid + polyethylene glycol solution + physiological saline solution, and 5) Polyethylene glycol solution + physiological saline solution. Minitab 18 software was used for data analysis, and the degradation kinetics were determined by linear regression. The optimal condition for physicochemical stability was a temperature of 25ºC covered by light (OM1-3h 49’, OM2-3h 2’, SSF-5h 8’, OM1SSF-2h 27’, OM2SSF-6h 23’). The diluent based on physiological saline solution provided more than five hours of shelf-life, and more than six hours, the diluent based on OM2 + SSF. However, the best option is physiological saline solution, considering the accessibility of the diluent. In conclusion, environmental conditions should be considered in extemporaneous omeprazole-based preparation since they are affected by temperature, luminosity, and type of diluent. Assessing shelf-life prior to administration is necessary to provide a safe and effective drug, avoiding the occurrence of side effects in patients.
Impact of Integrating Chatbots into Digital Universities Platforms on the Interactions between the Learner and the Educational Content
Khalifa SYLLA 1, Birahim BABOU 2, Mama AMAR 1, Samuel OUYA 3
Adv. Sci. Technol. Eng. Syst. J. 10(1), 13-19 (2025);
View Description
The rapid expansion of digital universities across Africa addresses the need for scalable higher education solutions, but challenges such as limited physical infrastructure and high dropout rates persist. In digital learning environments, effective interaction with educational content is crucial for student success. This article explores the transformative role of chatbots integrated into digital university platforms, with a specific focus on their impact on learner-content interactions. Leveraging the frequent use of messaging applications and advances in Artificial Intelligence (AI), we examine how chatbot integration enhances student engagement, facilitates personalized access to core educational modules, and supports formative assessments to reinforce learning outcomes. Using the Rasa open-source framework and the Moodle Learning Management System (LMS), we present a model that not only delivers content efficiently but also provides an interactive learning experience through AI-driven dialogue systems. Furthermore, a comparison of the different AI tools used for educational chatbots will be presented, to determine the most suitable solutions for digital teaching. This analysis will consider various aspects such as efficiency, customization, flexibility and ease of integration of the tools into educational environments. This study highlights how chatbots can foster a more dynamic and responsive learning ecosystem, ultimately improving student retention and mastery of key concepts in digital universities. In this article, we explore the broader impact of chatbots on learner interaction with educational content, not just their integration. It also emphasizes student engagement and retention.