V.I. OSUBOR

Cardiovascular Diseases (CVDs) remain the paramount global health challenge, responsible for approximately 17.9 million deaths annually, with cardiac arrest representing a particularly critical and sudden event. Despite advancements in machine learning, accurate prediction is often hindered by highdimensional clinical data ("the curse of dimensionality") and the performance limitations of standalone classifiers. Consequently, this study aimed to develop a framework that integrates a novel Hybrid Recursive Feature Elimination-Firefly (RFE-Firefly) feature selection technique with a stacked ensemble classifier to enhance predictive accuracy. The study utilized a structured heart disease dataset from the Kaggle repository, subjecting it to rigorous pre-processing, including normalization and class balancing via the Synthetic Minority Over-sampling Technique (SMOTE). The proposed Hybrid RFEFirefly algorithm was implemented to optimize the feature space, successfully reducing the data to a parsimonious subset of seven critical features. For classification, a stacking ensemble model was constructed using five diverse base learners which are Decision Tree, Support Vector Machine, Logistic Regression, Random Forest, and XGBoost and unified by Random Forest as meta-learner to synthesize their predictive strengths. Experimental results demonstrated that the proposed Hybrid RFE-FA Stack Ensemble achieved a superior accuracy of 90.57% and an F1-score of 0.7619. This performance significantly outperformed individual base classifiers as well as ensembles using standalone feature selection methods. The study concludes that integrating hybrid feature selection strategy with an advance stack ensemble classifier effectively mitigates overfitting and provides a robust, highperformance tool for clinical decision-making in cardiac arrest detection.

The idea of a library has moved beyond the physical world and found a new home in the increasingly digital era. The developing environment of digital libraries and their significant influence on knowledge transmission, preservation, and accessibility are explored in this abstract. Digital libraries
act as repositories for enormous and varied informational collections, encompassing anything from scientific research and classic literature to multimedia archives and cultural heritage. They enable people to conveniently access information at any time and from any location, democratizing knowledge in ways that were previously unthinkable. Digital libraries also have a significant impact on the preservation of delicate and endangered artifacts, protecting cultural treasures and priceless historical records. Their comprehensive metadata systems and archiving methods make it possible to permanently preserve knowledge for future generations.

An online book store is a web-based program which allows customers to order books online from anywhere at any time. This online bookstore created for the use of The University of Benin provides two modules which are admin module, customer module and one back-end database to store the information. In the admin module we can add books, categories, subcategories as well as receive queries from users. In the customer module, registered users can buy the various books or bunch of books that admin has added through its admin module, users can search the books that they want but for all this they have to create our account through the registration page. Users may log in using his/her login credentials, or new users can simply register an account. Customers must submit their full name, contact details, and shipping address. Also, users can
search for a book by its title or author, later can add it to the shopping cart. For successful and safe delivery, users have to fill right information in shipping details page. The books are classified into different categories depending on the department, such as Computer Science, Physics, Chemistry and Architecture etc. Customers can shop online at the online book Store website using a web browser like chrome. The online bookstore was created with PHP and web programming languages and hosted locally

An online book store is a web-based program which allows customers to order books online from anywhere at any time. This online bookstore created for the use of The University of Benin provides two modules which are admin module, customer module and one back-end database to store the information. In the admin module we can add books, categories, subcategories as well as receive queries from users. In the customer module, registered users can buy the various books or bunch of books that admin has added through its admin module, users can search the books that they want but for all this they have to create our account through the registration page. Users may log in using his/her login credentials, or new users can simply register an account. Customers must submit their full name, contact details, and shipping address. Also, users can search for a book by its title or author, later can add it to the shopping cart. For successful and safe delivery, users have to fill right information in shipping details page. The books are
classified into different categories depending on the department, such as Computer Science, Physics, Chemistry and Architecture etc. Customers can shop online at the online book Store website using a web browser like chrome. The online bookstore was created with PHP and web programming languages and hosted locally.