Ifedayo A. Olusola, Olusegun G. Lala, Adebayo Aroyehun et al. (4 contributing authors)
Coronary Heart Disease (CHD) remains one of the leading causes of global morbidity and mortality, demanding innovative approaches for effective clinical management and medication administration. This study presents an intelligent model designed to support drug administration in patients with CHD using Artificial Neural Networks (ANN), structured clinical workflows, and stakeholder-informed system requirements. Data for model development were obtained using structured interviews with cardiologists, pharmacists, and administrative personnel from UNIOSUN Teaching Hospital, Osogbo, Osun State and LAUTECH Teaching Hospital, Ogbomoso, Oyo, State. In addition, a merged heart disease dataset from Kaggle containing 1,190 instances and 11 clinically relevant features. Preprocessing procedures including data cleaning, feature selection, normalization, and categorical encoding were performed on the acquired data. The proposed system was designed using UML tools to model workflows, class interactions, and user roles, ensuring alignment with real-world clinical processes. The ANN model was developed and integrated into a functional clinical information system using Node.js, Flutter, and RESTful API communication. Performance evaluation revealed that the implemented model demonstrated strong potential for improving drug administration accuracy, enhancing clinical decision-making, and streamlining pharmaceutical operations. The integrated MedAd4CHD platform further ensures secure data flow, real-time patient information access, and end-to-end medication lifecycle management. This study provides a practical, scalable framework for intelligent CHD medication administration and establishes a foundation for future clinical validation.
Coronary Heart DiseaseIntelligent Drug AdministrationClinical Decision Support SystemHealthcare AutomationMachine Learning in Medicine
Tai Solarin University of Education (TASUED) has faced challenges in the efficiency and coordination of its clinic emergency response system, leading to delays and raising concerns about the safety of students, staff, and visitors. This study aims to design and implement a computerized TASUED Clinic Emergency Response System to enhance emergency management capabilities. Leveraging technology, the proposed system seeks to streamline communication channels, improve response times, and ensure effective coordination during emergencies. Observational methods and interviews conducted at the TASUED Medical Center revealed inefficiencies in patient registration, waiting times, and staff scheduling. Based on these findings, the system was developed using a top-down design approach and modular testing strategy, ensuring robust and reliable functionality. The implementation includes a user-friendly login interface and a comprehensive dashboard for healthcare professionals, facilitating efficient emergency response. This system's deployment is a significant step towards improving emergency management at TASUED and can serve as a model for other institutions facing similar challenges.
Nigerian correctional facilities rely on inefficient manual record-keeping processes, hindering effective prisoner information management and inter-agency coordination. This study aims to develop a comprehensive, centralized, web-based Prison Management System (PMS) to modernize and streamline operations in Nigerian correctional centers. The research employed a multifaceted data collection approach, including interviews, observations, and form evaluations. System development utilized the Incremental Model, incorporating MySQL, PHP, and JavaWeb technologies. The proposed PMS introduces a unified platform consolidating prisoner profiles, including demographic details, biometric data, parole status, visitor records, and departure logs. The system enables remote access, real-time information exchange, and intelligent administration through cloud computing integration. This digital transformation promises to elevate the Nigerian correctional system's efficiency, accountability, and inter-agency coordination, contributing to a more effective and secure justice framework.
Taleatu, T. Akinwumi, Oluwatosin O. Oluyomi et al. (17 contributing authors)
Official complete volume edition for Journal of Humanities, Management and Social Sciences (JHUMASS), Volume 3 Number 1. Full text and all collected peer-reviewed articles are published and available in the attached issue compendium PDF.
Official complete volume edition for Journal of Humanities, Management and Social Sciences (JHUMASS), Volume 3 Number 2. Full text and all collected peer-reviewed articles are published and available in the attached issue compendium PDF.
Famuyiwa, S. O., Ayoola M. D. et al. (7 contributing authors)
A medicinal plant is any plant containing substances that are effective therapeutically or are precursors for drug manufacture in one or more of its organs. This work was a comparative study of the hypoglycaemic and hyperglycaemia-lowering activities of the methanol extracts of the leaf, stem, and root barks of Xylopia aethiopica used folklorically in the management of type 2 diabetes mellitus with the view of determining its most active morphological part. The pulverized leaves, stem and root barks of the plant were separately subjected to cold extraction using methanol to obtain leaf, stem and root barks extracts respectively. The hypoglycaemic and antihyperglycaemic effects of the extracts were carried out on normoglycaemic and glucose-induced hyperglycaemic rats, respectively at 100, 200 and 400 mg/kg using glibenclamide (5 mg/kg) as positive control. The most effective antihyperglycaemic doses of the extracts were used to determine its anti-diabetic activity on streptozotocin-induced diabetic rats. The results obtained from the study were subjected to analysis of variance (ANOVA), followed by Student–Newman-Keuls post hoc tests and p< 0.05 was considered significant. The results of the study showed that the root bark extract of X. aethiopica did not cause hypoglycaemia in rats at all the tested doses while hypoglycaemia was obtained at 400 mg/kg of the leaf and stem bark extracts. In the hyperglycaemia-lowering experiment using glucose loaded rats’ model, the leaf, stem and root bark extracts gave 10, 13, 10, 29; 35, 36, 38, 41 and 25, 27, 33, 44 % blood glucose levels reduction at 0.5, 1, 2 and 4 h, respectively which showed the stem bark as the most active plant part especially at 0.5-2 h. In the streptozotocin-induced hyperglycaemic rats experiment, the order of antihyperglycaemic effect of the morphological parts of X. aethiopica is, stem bark extract > leaf extract > root bark extract. It was concluded from the results obtained from the study that the stem bark extract of Xylopia aethiopica was the most active plant part both in glucose and streptozotocin-induced hyperglycaemia and it does not cause hypoglycaemia at low doses.
F. A. Kasali, J. A. Balogun, O. D. Adekola et al. (4 contributing authors)
In the education sector, constructing a personalized timetable is an important aspect that should be given uppermost priorities when it comes to academic planning and implementation. Basically, in most schools, the timetable is done to encompass all courses, segregation only comes in departmentally, by faculty or by programs being studied by the students involved. This could be cumbersome especially for schools with numerous programs, departments or faculties as students and faculty members have to glance through such complex timetables before they are able to map out theirs. This could lead to resource wastage in terms of time, misinterpretation by students involved, clashing of courses being taken by students, poor utilization of available venues amongst other issues. In other to proffer solutions to some of the identified problems, a personalized and user-centric timetable system was designed for the College of Basic and Applied Sciences (CBAS), Mountain Top University, Ogun State, Nigeria. System design was specified using unified modeling language (UML) diagrams such as use-case, sequence and activity diagrams. The system was implemented using mobile application development technologies. The android based timetable system presented an administrative module who could schedule lecture periods, specify time amongst other constraints and overall management of course scheduling based on courses registered for by the students. Evaluation of the system was done using Post Study System Usability Questionnaire (PSSUQ) version 3 measuring tool and analysed using descriptive statistics with SPSS version 21. One hundred and twenty five (125) participants were chosen randomly and purposefully for the study. Results of analysis gave the perceived satisfaction score as 2.56, system usefulness with 1.98, information quality with a mean score of 2.72 while interface quality performed the lowest with a mean score of 3.19 since in PSSUQ analysis, the higher the mean score, the poorer the performance. The timetable system was basically designed to reduce the problem of accessibility and better convenience especially on the part of the students. Future works would also consider a fully automated system with the use of scheduling algorithms and the integration of examination and invigilation scheduling in the same system.
Taleatu Akinwunmi, Mariam Anana, James Olanipekun Ojo et al. (15 contributing authors)
Official complete volume edition for Journal of Humanities, Management and Social Sciences (JHUMASS), Volume 2 Number 1. Full text and all collected peer-reviewed articles are published and available in the attached issue compendium PDF.
