Abstract This study examines how participative leadership, digital leadership and digital organizational culture influence employees’ knowledgesharing behaviour and how these are moderated by job autonomy and gender in Malaysia. Responses from 412 employees were collected from various organizations in the tourism sector. The data analysis was con

Background: Adolescent obesity remains a significant public health issue, with rising prevalence and long-term health risks. While lifestyle modifications are the primary treatment, their effectiveness is often limited. Meal Replacement Plans (MRPs) have emerged as a potential alternative, though evidence in adolescents remains unclear. Objective:

The precise determination of the thermal conductivity is crucial for material characterization in engineering applications. However, the accurate identification of temperature-dependent thermal conductivity poses a significant challenge. This article proposed an adjoint-based inverse method to identify the thermal conductivity in the context of non

This study underscores the significance of al-amānah as a vital concept for promoting social justice and ethical conduct within communities. Al-amānah (trustworthiness or honesty) is a fundamental directive from Allāh Subḥānahu Wa-Taʿālā (Glorified and Exalted). Upholding al-amānah serves as a cornerstone for fulfilling the rights ordaine

This editorial summarizes the 7th Malaysian Audiology Scientific Conference (MASCO) 2025, held in Penang, Malaysia, under the theme “Building Strong Foundations: The Evolution of Evidence-Based Practice in Audiology.” The conference gathered 111 audiologists and 26 students, featuring six plenary sessions by international and local experts on t

Vehicle detection systems are essential for improving traffic management, enhancing safety, supporting law enforcement, facilitating toll collection, and contributing to smart city initiatives through real-time monitoring and data analysis. With the rapid growth of smart city technologies, the need for efficient, scalable, and high-accuracy vehicle

To develop an intelligent AI-based predictive hybrid model that accurately identifies diabetic by analyzing clinical and demographic data for early detection and improved healthcare decisionmaking. This study introduces a hybrid model combining machine learning (ML) and deep learning (DL) techniques for enhanced diabetes prediction. By stacking thr

Objective: This study aims to enhance the accuracy and robustness of diabetes prediction by developing a hybrid ensemble model that integrates both Deep Learning (DL) and Machine Learning (ML) classifiers through a two-stage soft voting mechanism. Research Methodology: The proposed methodology involves a comprehensive preprocessing pipeline, includ

This book aims to provide undergraduate and postgraduate students with a comprehensive, accessible introduction to the fields of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). It integrates perspectives from Islamic philosophy, enabling readers to explore the ethical, epistemological, and spiritual dimensions that unde

Social media has become integral to students' daily lives, profoundly influencing their attitudes and character. Based on data released by DateReportal: Global Digital Insight, the use of social media in Malaysia as of January 2023 was 26.8 million, which is 78.5% of the total population. The highest use of the internet among teenagers is on on