journals

Abstract Lung cancer detection using Convolutional Neural Networks (CNNs) represents a transformative approach in medical imaging, utilizing deep learning to identify cancerous images in lung images. Our project aims to develop and implement a CNN-based system to detect lung cancer from computed tomography (CT) scans. The process begins with preprocessing the CT images to standardize […]

Abstract The Motivated Strategies for Learning Questionnaire (MSLQ) is the most vigorous scale that assesses self-regulated learning (SRL) strategies. The MSLQ is a detailed scale of 81 items with two major dimensions (i.e., the Motivation Dimension (MD) and the Learning Strategies (LS). Each major dimension has again sub-scales. However, its validation is a topic of

Abstract Abusive leadership is a critically important issue in modern organizations because of its far-reaching and deeply detrimental effects on employees, teams, and overall organizational performance. Its importance stems from the need to understand, mitigate, and prevent behaviors that can erode workplace well-being and productivity. This bibliometric review examines the evolving landscape of research on

Abstract This study investigates the perceptions and expectations of Health and Safety Education lecturers regarding the adequacy, challenges, and prospects of safety gadgets and facilities in Nigerian universities. The primary aim is to assess their perceptions of the current state of health and safety facilities, identify key challenges impacting the adequacy and effectiveness of these

Abstract The final waste processing facility plays a crucial role in waste management. The growing amount of waste in landfills is causing significant harm to the surrounding environment and the health of nearby residents. This study seeks to offer insights into the projected future waste volume in landfills. This research applies the mathematical models of

Abstract Healthcare professionals face high levels of stress, which negatively impacts their mental health, well-being, and job performance. Mindfulness-Based Stress Reduction (MBSR) is an intervention designed to mitigate stress and promote emotional well-being, but its long-term effects in healthcare settings remain under-explored. This study aims to evaluate the effectiveness of MBSR in reducing stress, improving

Abstract This mixed-methods study investigates the intrinsic and extrinsic motivators influencing lecturer engagement in Continuing Professional Development (CPD) programmes within a community college setting. Data were collected from 36 lecturers through structured surveys, capturing both quantitative and qualitative perspectives. The analysis reveals several key motivators, including teaching passion, career advancement aspirations, and institutional incentives, which

Abstract As organizations evolve, their employee performance capabilities must also advance to maintain competitive advantage. Employees are integral to organizational success, with their performance significantly influencing overall business outcomes. The rapid advancement of information technology, particularly Artificial Intelligence (AI), has permeated various organizational departments, including Human Resource Management (HRM). Despite extensive research in AI, there

Abstract This work is to suggest a method to model the friction welded properties for dissimilar AISI 430 steel and EN 10028 P355 GH Steel joints using techniques like response surface methodology (RSM) and fuzzy logic (FL). Modelling used to predict correct parameters and their range without sacrificing weld quality is very crucial in the

Abstract This study aims to examine students’ geometry skills after being given learning with the GeoGebra application and evaluate the results of students’ work based on Newman’s procedure after solving geometry skill problems. This study uses quantitative research methods in the first stage to obtain quantitative data. In the second stage, qualitative methods are used