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Going Green: What Drives Eco-Conscious Shopping in Malaysia?

What motivates consumers to choose environmentally friendly products? A recent study published in the conference proceedings of the International Conference on Business and Technology (ICBT 2023) explores this question, focusing on the purchasing habits of employed adults in Malaysia. Co-authored by Tin Fah Chung from SEGi University, the research sheds light on the factors that...
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Advancing Real-Time Tool Wear Monitoring Through Hybrid Deep Learning Models

Yong Ge, Hiu Hong Teo, and Dr. Lip Kean Moey, all researchers from SEGi University, have contributed impactful research to the field of intelligent manufacturing with their recent publication in the International Journal of Advanced Manufacturing Technology (Vol. 132, 2024), titled: “Monitoring Tool Wearing: A Hybrid Algorithm Integrating Residual Structures and Stacked BiLSTM.” As digital...
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Eco-Friendly 3D Printing: Researchers Develop Hydro-Degradable Bioplastic Composite

A team of researchers from SEGi University has developed a biodegradable and hydro-degradable composite material for 3D printing, addressing the growing concerns of plastic waste and microplastic pollution. The study, conducted by Mieow Kee Chan, Chan Chin Wang, Yi Shen Tee, Mei Hui Tan, and Shamini Janasekaran, explores the potential of starch/wood powder/glycerol/lemongrass essential oil...
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Understanding the Impact of Microaggressions in Healthcare: A Cross-Sectional Study on Prevalence and Experience

A recent research study titled “An Obscured Obstacle – Prevalence and Nature of Microaggressions Amongst Healthcare Professionals” provides timely insights into the psychological and professional consequences of microaggressions within the healthcare system. Among the authors is S.O. Alhilal, from SEGi University, Malaysia, contributing to a significant global conversation on workplace culture and inclusivity in medicine. Conducted...
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Advancing Wireless Communication: A Compact Rectangular Slotted Microstrip Bandpass Filter

The field of wireless communication continues to push boundaries, demanding compact, high-performance filtering solutions that enhance signal integrity while maintaining efficiency. A recent study, published as part of the SpringerBriefs in Applied Sciences and Technology, introduces an innovative compact rectangular slotted microstrip bandpass filter, designed to meet the evolving needs of modern wireless networks. Authored...
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Understanding the emotional experience of music students through network analysis

A new study co-authored by Lu Song of SEGi University sheds light on how male and female music students experience emotions and self-concept differently in the learning environment. Published in the British Journal of Educational Psychology, the research uses network analysis to map internal relationships between music self-concept and music emotions—an approach rarely taken in...
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Advancing Prenatal Diagnostics through Deep Learning: A Review on AI-Powered Detection of Down Syndrome via Ultrasound Imaging

The early and accurate detection of chromosomal abnormalities remains a cornerstone of modern prenatal care. Down syndrome (Trisomy 21), caused by an extra copy of chromosome 21, is one of the most prevalent genetic conditions globally. It presents a range of phenotypic traits and cognitive challenges, making timely diagnosis essential for both medical intervention and...
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